feat(skills): expand touchdesigner-mcp with GLSL, post-FX, audio, geometry references

Add 6 new reference files with generic reusable patterns:
- glsl.md: uniforms, built-in functions, shader templates, Bayer dither
- postfx.md: bloom, CRT scanlines, chromatic aberration, feedback glow
- layout-compositor.md: layoutTOP, overTOP grids, panel dividers
- operator-tips.md: wireframe rendering, feedback TOP setup
- geometry-comp.md: instancing, POP vs SOP rendering, shape morphing
- audio-reactive.md: band extraction (audiofilterCHOP), beat detection, MIDI

Expand SKILL.md with:
- TD 2025 API quirks (connection syntax, GLSL TOP rules, expression gotchas)
- Trimmed param name table (8 known LLM traps, defers to td_get_par_info)
- Slider-to-shader wiring (td_execute_python + ParMode.EXPRESSION)
- Frame capture with run()/delayFrames (TOP.save() timing fix)
- TD 099 POP vs SOP rendering rules
- Incremental build strategy for large scripts
- Remote TD setup (PC over Ethernet)
- Audio synthesis via CHOPs (LFO-driven envelope pattern)

Expand pitfalls.md (#46-63):
- Connection syntax, moviefileoutTOP bug, batch frame capture
- TOP.save() time advancement, feedback masking, incremental builds
- MCP reconnection after project.load(), TOX reverse-engineering
- sliderCOMP naming, create() suffix requirement
- COMP reparenting (copyOPs), expressionCHOP crash

All content is generic — no session-specific paths, hardware, aesthetics,
or param-name-only entries (those belong in td_get_par_info).
Bumps version 1.0.0 → 2.0.0.

.dockerignore

@@ -14,6 +14,3 @@ node_modules
 .env
 
 *.md
-
-# Runtime data (bind-mounted at /opt/data; must not leak into build context)
-data/

.github/workflows/deploy-site.yml

@@ -53,9 +53,6 @@ jobs:
       - name: Extract skill metadata for dashboard
         run: python3 website/scripts/extract-skills.py
 
-      - name: Regenerate per-skill docs pages + catalogs
-        run: python3 website/scripts/generate-skill-docs.py
-
       - name: Build skills index (if not already present)
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/docs-site-checks.yml

@@ -36,9 +36,6 @@ jobs:
       - name: Extract skill metadata for dashboard
         run: python3 website/scripts/extract-skills.py
 
-      - name: Regenerate per-skill docs pages + catalogs
-        run: python3 website/scripts/generate-skill-docs.py
-
       - name: Lint docs diagrams
         run: npm run lint:diagrams
         working-directory: website

.gitignore

@@ -1,4 +1,3 @@
-.DS_Store
 /venv/
 /_pycache/
 *.pyc*

AGENTS.md

@@ -5,61 +5,78 @@ Instructions for AI coding assistants and developers working on the hermes-agent
 ## Development Environment
 
 ```bash
-# Prefer .venv; fall back to venv if that's what your checkout has.
-source .venv/bin/activate   # or: source venv/bin/activate
+source venv/bin/activate  # ALWAYS activate before running Python
 ```
 
-`scripts/run_tests.sh` probes `.venv` first, then `venv`, then
-`$HOME/.hermes/hermes-agent/venv` (for worktrees that share a venv with the
-main checkout).
-
 ## Project Structure
 
-File counts shift constantly — don't treat the tree below as exhaustive.
-The canonical source is the filesystem. The notes call out the load-bearing
-entry points you'll actually edit.
-
 ```
 hermes-agent/
-├── run_agent.py          # AIAgent class — core conversation loop (~12k LOC)
+├── run_agent.py          # AIAgent class — core conversation loop
 ├── model_tools.py        # Tool orchestration, discover_builtin_tools(), handle_function_call()
 ├── toolsets.py           # Toolset definitions, _HERMES_CORE_TOOLS list
-├── cli.py                # HermesCLI class — interactive CLI orchestrator (~11k LOC)
+├── cli.py                # HermesCLI class — interactive CLI orchestrator
 ├── hermes_state.py       # SessionDB — SQLite session store (FTS5 search)
-├── hermes_constants.py   # get_hermes_home(), display_hermes_home() — profile-aware paths
-├── hermes_logging.py     # setup_logging() — agent.log / errors.log / gateway.log (profile-aware)
-├── batch_runner.py       # Parallel batch processing
-├── agent/                # Agent internals (provider adapters, memory, caching, compression, etc.)
-├── hermes_cli/           # CLI subcommands, setup wizard, plugins loader, skin engine
-├── tools/                # Tool implementations — auto-discovered via tools/registry.py
+├── agent/                # Agent internals
+│   ├── prompt_builder.py     # System prompt assembly
+│   ├── context_compressor.py # Auto context compression
+│   ├── prompt_caching.py     # Anthropic prompt caching
+│   ├── auxiliary_client.py   # Auxiliary LLM client (vision, summarization)
+│   ├── model_metadata.py     # Model context lengths, token estimation
+│   ├── models_dev.py         # models.dev registry integration (provider-aware context)
+│   ├── display.py            # KawaiiSpinner, tool preview formatting
+│   ├── skill_commands.py     # Skill slash commands (shared CLI/gateway)
+│   └── trajectory.py         # Trajectory saving helpers
+├── hermes_cli/           # CLI subcommands and setup
+│   ├── main.py           # Entry point — all `hermes` subcommands
+│   ├── config.py         # DEFAULT_CONFIG, OPTIONAL_ENV_VARS, migration
+│   ├── commands.py       # Slash command definitions + SlashCommandCompleter
+│   ├── callbacks.py      # Terminal callbacks (clarify, sudo, approval)
+│   ├── setup.py          # Interactive setup wizard
+│   ├── skin_engine.py    # Skin/theme engine — CLI visual customization
+│   ├── skills_config.py  # `hermes skills` — enable/disable skills per platform
+│   ├── tools_config.py   # `hermes tools` — enable/disable tools per platform
+│   ├── skills_hub.py     # `/skills` slash command (search, browse, install)
+│   ├── models.py         # Model catalog, provider model lists
+│   ├── model_switch.py   # Shared /model switch pipeline (CLI + gateway)
+│   └── auth.py           # Provider credential resolution
+├── tools/                # Tool implementations (one file per tool)
+│   ├── registry.py       # Central tool registry (schemas, handlers, dispatch)
+│   ├── approval.py       # Dangerous command detection
+│   ├── terminal_tool.py  # Terminal orchestration
+│   ├── process_registry.py # Background process management
+│   ├── file_tools.py     # File read/write/search/patch
+│   ├── web_tools.py      # Web search/extract (Parallel + Firecrawl)
+│   ├── browser_tool.py   # Browserbase browser automation
+│   ├── code_execution_tool.py # execute_code sandbox
+│   ├── delegate_tool.py  # Subagent delegation
+│   ├── mcp_tool.py       # MCP client (~1050 lines)
 │   └── environments/     # Terminal backends (local, docker, ssh, modal, daytona, singularity)
-├── gateway/              # Messaging gateway — run.py + session.py + platforms/
-│   ├── platforms/        # Adapter per platform (telegram, discord, slack, whatsapp,
-│   │                     #   homeassistant, signal, matrix, mattermost, email, sms,
-│   │                     #   dingtalk, wecom, weixin, feishu, qqbot, bluebubbles,
-│   │                     #   webhook, api_server, ...). See ADDING_A_PLATFORM.md.
-│   └── builtin_hooks/    # Always-registered gateway hooks (boot-md, ...)
-├── plugins/              # Plugin system (see "Plugins" section below)
-│   ├── memory/           # Memory-provider plugins (honcho, mem0, supermemory, ...)
-│   ├── context_engine/   # Context-engine plugins
-│   └── <others>/         # Dashboard, image-gen, disk-cleanup, examples, ...
-├── optional-skills/      # Heavier/niche skills shipped but NOT active by default
-├── skills/               # Built-in skills bundled with the repo
+├── gateway/              # Messaging platform gateway
+│   ├── run.py            # Main loop, slash commands, message dispatch
+│   ├── session.py        # SessionStore — conversation persistence
+│   └── platforms/        # Adapters: telegram, discord, slack, whatsapp, homeassistant, signal, qqbot
 ├── ui-tui/               # Ink (React) terminal UI — `hermes --tui`
-│   └── src/              # entry.tsx, app.tsx, gatewayClient.ts + app/components/hooks/lib
+│   ├── src/entry.tsx        # TTY gate + render()
+│   ├── src/app.tsx          # Main state machine and UI
+│   ├── src/gatewayClient.ts # Child process + JSON-RPC bridge
+│   ├── src/app/             # Decomposed app logic (event handler, slash handler, stores, hooks)
+│   ├── src/components/      # Ink components (branding, markdown, prompts, pickers, etc.)
+│   ├── src/hooks/           # useCompletion, useInputHistory, useQueue, useVirtualHistory
+│   └── src/lib/             # Pure helpers (history, osc52, text, rpc, messages)
 ├── tui_gateway/          # Python JSON-RPC backend for the TUI
+│   ├── entry.py             # stdio entrypoint
+│   ├── server.py            # RPC handlers and session logic
+│   ├── render.py            # Optional rich/ANSI bridge
+│   └── slash_worker.py      # Persistent HermesCLI subprocess for slash commands
 ├── acp_adapter/          # ACP server (VS Code / Zed / JetBrains integration)
-├── cron/                 # Scheduler — jobs.py, scheduler.py
+├── cron/                 # Scheduler (jobs.py, scheduler.py)
 ├── environments/         # RL training environments (Atropos)
-├── scripts/              # run_tests.sh, release.py, auxiliary scripts
-├── website/              # Docusaurus docs site
-└── tests/                # Pytest suite (~15k tests across ~700 files as of Apr 2026)
+├── tests/                # Pytest suite (~3000 tests)
+└── batch_runner.py       # Parallel batch processing
 ```
 
-**User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys only).
-**Logs:** `~/.hermes/logs/` — `agent.log` (INFO+), `errors.log` (WARNING+),
-`gateway.log` when running the gateway. Profile-aware via `get_hermes_home()`.
-Browse with `hermes logs [--follow] [--level ...] [--session ...]`.
+**User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys)
 
 ## File Dependency Chain
 
@@ -77,30 +94,20 @@ run_agent.py, cli.py, batch_runner.py, environments/
 
 ## AIAgent Class (run_agent.py)
 
-The real `AIAgent.__init__` takes ~60 parameters (credentials, routing, callbacks,
-session context, budget, credential pool, etc.). The signature below is the
-minimum subset you'll usually touch — read `run_agent.py` for the full list.
-
 ```python
 class AIAgent:
     def __init__(self,
-        base_url: str = None,
-        api_key: str = None,
-        provider: str = None,
-        api_mode: str = None,              # "chat_completions" | "codex_responses" | ...
-        model: str = "",                   # empty → resolved from config/provider later
-        max_iterations: int = 90,          # tool-calling iterations (shared with subagents)
+        model: str = "anthropic/claude-opus-4.6",
+        max_iterations: int = 90,
         enabled_toolsets: list = None,
         disabled_toolsets: list = None,
         quiet_mode: bool = False,
         save_trajectories: bool = False,
-        platform: str = None,              # "cli", "telegram", etc.
+        platform: str = None,           # "cli", "telegram", etc.
         session_id: str = None,
         skip_context_files: bool = False,
         skip_memory: bool = False,
-        credential_pool=None,
-        # ... plus callbacks, thread/user/chat IDs, iteration_budget, fallback_model,
-        # checkpoints config, prefill_messages, service_tier, reasoning_config, etc.
+        # ... plus provider, api_mode, callbacks, routing params
     ): ...
 
     def chat(self, message: str) -> str:
@@ -113,13 +120,10 @@ class AIAgent:
 
 ### Agent Loop
 
-The core loop is inside `run_conversation()` — entirely synchronous, with
-interrupt checks, budget tracking, and a one-turn grace call:
+The core loop is inside `run_conversation()` — entirely synchronous:
 
 ```python
-while (api_call_count < self.max_iterations and self.iteration_budget.remaining > 0) \
-        or self._budget_grace_call:
-    if self._interrupt_requested: break
+while api_call_count < self.max_iterations and self.iteration_budget.remaining > 0:
     response = client.chat.completions.create(model=model, messages=messages, tools=tool_schemas)
     if response.tool_calls:
         for tool_call in response.tool_calls:
@@ -130,8 +134,7 @@ while (api_call_count < self.max_iterations and self.iteration_budget.remaining
         return response.content
 ```
 
-Messages follow OpenAI format: `{"role": "system/user/assistant/tool", ...}`.
-Reasoning content is stored in `assistant_msg["reasoning"]`.
+Messages follow OpenAI format: `{"role": "system/user/assistant/tool", ...}`. Reasoning content is stored in `assistant_msg["reasoning"]`.
 
 ---
 
@@ -240,19 +243,6 @@ npm run fmt       # prettier
 npm test          # vitest
 ```
 
-### TUI in the Dashboard (`hermes dashboard` → `/chat`)
-
-The dashboard embeds the real `hermes --tui` — **not** a rewrite.  See `hermes_cli/pty_bridge.py` + the `@app.websocket("/api/pty")` endpoint in `hermes_cli/web_server.py`.
-
-- Browser loads `web/src/pages/ChatPage.tsx`, which mounts xterm.js's `Terminal` with the WebGL renderer, `@xterm/addon-fit` for container-driven resize, and `@xterm/addon-unicode11` for modern wide-character widths.
-- `/api/pty?token=…` upgrades to a WebSocket; auth uses the same ephemeral `_SESSION_TOKEN` as REST, via query param (browsers can't set `Authorization` on WS upgrade).
-- The server spawns whatever `hermes --tui` would spawn, through `ptyprocess` (POSIX PTY — WSL works, native Windows does not).
-- Frames: raw PTY bytes each direction; resize via `\x1b[RESIZE:<cols>;<rows>]` intercepted on the server and applied with `TIOCSWINSZ`.
-
-**Do not re-implement the primary chat experience in React.** The main transcript, composer/input flow (including slash-command behavior), and PTY-backed terminal belong to the embedded `hermes --tui` — anything new you add to Ink shows up in the dashboard automatically. If you find yourself rebuilding the transcript or composer for the dashboard, stop and extend Ink instead.
-
-**Structured React UI around the TUI is allowed when it is not a second chat surface.** Sidebar widgets, inspectors, summaries, status panels, and similar supporting views (e.g. `ChatSidebar`, `ModelPickerDialog`, `ToolCall`) are fine when they complement the embedded TUI rather than replacing the transcript / composer / terminal. Keep their state independent of the PTY child's session and surface their failures non-destructively so the terminal pane keeps working unimpaired.
-
 ---
 
 ## Adding New Tools
@@ -290,7 +280,7 @@ The registry handles schema collection, dispatch, availability checking, and err
 
 **State files**: If a tool stores persistent state (caches, logs, checkpoints), use `get_hermes_home()` for the base directory — never `Path.home() / ".hermes"`. This ensures each profile gets its own state.
 
-**Agent-level tools** (todo, memory): intercepted by `run_agent.py` before `handle_function_call()`. See `tools/todo_tool.py` for the pattern.
+**Agent-level tools** (todo, memory): intercepted by `run_agent.py` before `handle_function_call()`. See `todo_tool.py` for the pattern.
 
 ---
 
@@ -298,13 +288,9 @@ The registry handles schema collection, dispatch, availability checking, and err
 
 ### config.yaml options:
 1. Add to `DEFAULT_CONFIG` in `hermes_cli/config.py`
-2. Bump `_config_version` (check the current value at the top of `DEFAULT_CONFIG`)
-   ONLY if you need to actively migrate/transform existing user config
-   (renaming keys, changing structure). Adding a new key to an existing
-   section is handled automatically by the deep-merge and does NOT require
-   a version bump.
+2. Bump `_config_version` (currently 5) to trigger migration for existing users
 
-### .env variables (SECRETS ONLY — API keys, tokens, passwords):
+### .env variables:
 1. Add to `OPTIONAL_ENV_VARS` in `hermes_cli/config.py` with metadata:
 ```python
 "NEW_API_KEY": {
@@ -316,29 +302,13 @@ The registry handles schema collection, dispatch, availability checking, and err
 },
 ```
 
-Non-secret settings (timeouts, thresholds, feature flags, paths, display
-preferences) belong in `config.yaml`, not `.env`. If internal code needs an
-env var mirror for backward compatibility, bridge it from `config.yaml` to
-the env var in code (see `gateway_timeout`, `terminal.cwd` → `TERMINAL_CWD`).
-
-### Config loaders (three paths — know which one you're in):
+### Config loaders (two separate systems):
 
 | Loader | Used by | Location |
 |--------|---------|----------|
-| `load_cli_config()` | CLI mode | `cli.py` — merges CLI-specific defaults + user YAML |
-| `load_config()` | `hermes tools`, `hermes setup`, most CLI subcommands | `hermes_cli/config.py` — merges `DEFAULT_CONFIG` + user YAML |
-| Direct YAML load | Gateway runtime | `gateway/run.py` + `gateway/config.py` — reads user YAML raw |
-
-If you add a new key and the CLI sees it but the gateway doesn't (or vice
-versa), you're on the wrong loader. Check `DEFAULT_CONFIG` coverage.
-
-### Working directory:
-- **CLI** — uses the process's current directory (`os.getcwd()`).
-- **Messaging** — uses `terminal.cwd` from `config.yaml`. The gateway bridges this
-  to the `TERMINAL_CWD` env var for child tools. **`MESSAGING_CWD` has been
-  removed** — the config loader prints a deprecation warning if it's set in
-  `.env`. Same for `TERMINAL_CWD` in `.env`; the canonical setting is
-  `terminal.cwd` in `config.yaml`.
+| `load_cli_config()` | CLI mode | `cli.py` |
+| `load_config()` | `hermes tools`, `hermes setup` | `hermes_cli/config.py` |
+| Direct YAML load | Gateway | `gateway/run.py` |
 
 ---
 
@@ -431,95 +401,7 @@ Activate with `/skin cyberpunk` or `display.skin: cyberpunk` in config.yaml.
 
 ---
 
-## Plugins
-
-Hermes has two plugin surfaces. Both live under `plugins/` in the repo so
-repo-shipped plugins can be discovered alongside user-installed ones in
-`~/.hermes/plugins/` and pip-installed entry points.
-
-### General plugins (`hermes_cli/plugins.py` + `plugins/<name>/`)
-
-`PluginManager` discovers plugins from `~/.hermes/plugins/`, `./.hermes/plugins/`,
-and pip entry points. Each plugin exposes a `register(ctx)` function that
-can:
-
-- Register Python-callback lifecycle hooks:
-  `pre_tool_call`, `post_tool_call`, `pre_llm_call`, `post_llm_call`,
-  `on_session_start`, `on_session_end`
-- Register new tools via `ctx.register_tool(...)`
-- Register CLI subcommands via `ctx.register_cli_command(...)` — the
-  plugin's argparse tree is wired into `hermes` at startup so
-  `hermes <pluginname> <subcmd>` works with no change to `main.py`
-
-Hooks are invoked from `model_tools.py` (pre/post tool) and `run_agent.py`
-(lifecycle). **Discovery timing pitfall:** `discover_plugins()` only runs
-as a side effect of importing `model_tools.py`. Code paths that read plugin
-state without importing `model_tools.py` first must call `discover_plugins()`
-explicitly (it's idempotent).
-
-### Memory-provider plugins (`plugins/memory/<name>/`)
-
-Separate discovery system for pluggable memory backends. Current built-in
-providers include **honcho, mem0, supermemory, byterover, hindsight,
-holographic, openviking, retaindb**.
-
-Each provider implements the `MemoryProvider` ABC (see `agent/memory_provider.py`)
-and is orchestrated by `agent/memory_manager.py`. Lifecycle hooks include
-`sync_turn(turn_messages)`, `prefetch(query)`, `shutdown()`, and optional
-`post_setup(hermes_home, config)` for setup-wizard integration.
-
-**CLI commands via `plugins/memory/<name>/cli.py`:** if a memory plugin
-defines `register_cli(subparser)`, `discover_plugin_cli_commands()` finds
-it at argparse setup time and wires it into `hermes <plugin>`. The
-framework only exposes CLI commands for the **currently active** memory
-provider (read from `memory.provider` in config.yaml), so disabled
-providers don't clutter `hermes --help`.
-
-**Rule (Teknium, May 2026):** plugins MUST NOT modify core files
-(`run_agent.py`, `cli.py`, `gateway/run.py`, `hermes_cli/main.py`, etc.).
-If a plugin needs a capability the framework doesn't expose, expand the
-generic plugin surface (new hook, new ctx method) — never hardcode
-plugin-specific logic into core. PR #5295 removed 95 lines of hardcoded
-honcho argparse from `main.py` for exactly this reason.
-
-### Dashboard / context-engine / image-gen plugin directories
-
-`plugins/context_engine/`, `plugins/image_gen/`, `plugins/example-dashboard/`,
-etc. follow the same pattern (ABC + orchestrator + per-plugin directory).
-Context engines plug into `agent/context_engine.py`; image-gen providers
-into `agent/image_gen_provider.py`.
-
----
-
-## Skills
-
-Two parallel surfaces:
-
-- **`skills/`** — built-in skills shipped and loadable by default.
-  Organized by category directories (e.g. `skills/github/`, `skills/mlops/`).
-- **`optional-skills/`** — heavier or niche skills shipped with the repo but
-  NOT active by default. Installed explicitly via
-  `hermes skills install official/<category>/<skill>`. Adapter lives in
-  `tools/skills_hub.py` (`OptionalSkillSource`). Categories include
-  `autonomous-ai-agents`, `blockchain`, `communication`, `creative`,
-  `devops`, `email`, `health`, `mcp`, `migration`, `mlops`, `productivity`,
-  `research`, `security`, `web-development`.
-
-When reviewing skill PRs, check which directory they target — heavy-dep or
-niche skills belong in `optional-skills/`.
-
-### SKILL.md frontmatter
-
-Standard fields: `name`, `description`, `version`, `platforms`
-(OS-gating list: `[macos]`, `[linux, macos]`, ...),
-`metadata.hermes.tags`, `metadata.hermes.category`,
-`metadata.hermes.config` (config.yaml settings the skill needs — stored
-under `skills.config.<key>`, prompted during setup, injected at load time).
-
----
-
 ## Important Policies
-
 ### Prompt Caching Must Not Break
 
 Hermes-Agent ensures caching remains valid throughout a conversation. **Do NOT implement changes that would:**
@@ -529,10 +411,9 @@ Hermes-Agent ensures caching remains valid throughout a conversation. **Do NOT i
 
 Cache-breaking forces dramatically higher costs. The ONLY time we alter context is during context compression.
 
-Slash commands that mutate system-prompt state (skills, tools, memory, etc.)
-must be **cache-aware**: default to deferred invalidation (change takes
-effect next session), with an opt-in `--now` flag for immediate
-invalidation. See `/skills install --now` for the canonical pattern.
+### Working Directory Behavior
+- **CLI**: Uses current directory (`.` → `os.getcwd()`)
+- **Messaging**: Uses `MESSAGING_CWD` env var (default: home directory)
 
 ### Background Process Notifications (Gateway)
 
@@ -554,7 +435,7 @@ Hermes supports **profiles** — multiple fully isolated instances, each with it
 `HERMES_HOME` directory (config, API keys, memory, sessions, skills, gateway, etc.).
 
 The core mechanism: `_apply_profile_override()` in `hermes_cli/main.py` sets
-`HERMES_HOME` before any module imports. All `get_hermes_home()` references
+`HERMES_HOME` before any module imports. All 119+ references to `get_hermes_home()`
 automatically scope to the active profile.
 
 ### Rules for profile-safe code
@@ -611,12 +492,8 @@ Use `get_hermes_home()` from `hermes_constants` for code paths. Use `display_her
 for user-facing print/log messages. Hardcoding `~/.hermes` breaks profiles — each profile
 has its own `HERMES_HOME` directory. This was the source of 5 bugs fixed in PR #3575.
 
-### DO NOT introduce new `simple_term_menu` usage
-Existing call sites in `hermes_cli/main.py` remain for legacy fallback only;
-the preferred UI is curses (stdlib) because `simple_term_menu` has
-ghost-duplication rendering bugs in tmux/iTerm2 with arrow keys. New
-interactive menus must use `hermes_cli/curses_ui.py` — see
-`hermes_cli/tools_config.py` for the canonical pattern.
+### DO NOT use `simple_term_menu` for interactive menus
+Rendering bugs in tmux/iTerm2 — ghosting on scroll. Use `curses` (stdlib) instead. See `hermes_cli/tools_config.py` for the pattern.
 
 ### DO NOT use `\033[K` (ANSI erase-to-EOL) in spinner/display code
 Leaks as literal `?[K` text under `prompt_toolkit`'s `patch_stdout`. Use space-padding: `f"\r{line}{' ' * pad}"`.
@@ -627,30 +504,6 @@ Leaks as literal `?[K` text under `prompt_toolkit`'s `patch_stdout`. Use space-p
 ### DO NOT hardcode cross-tool references in schema descriptions
 Tool schema descriptions must not mention tools from other toolsets by name (e.g., `browser_navigate` saying "prefer web_search"). Those tools may be unavailable (missing API keys, disabled toolset), causing the model to hallucinate calls to non-existent tools. If a cross-reference is needed, add it dynamically in `get_tool_definitions()` in `model_tools.py` — see the `browser_navigate` / `execute_code` post-processing blocks for the pattern.
 
-### The gateway has TWO message guards — both must bypass approval/control commands
-When an agent is running, messages pass through two sequential guards:
-(1) **base adapter** (`gateway/platforms/base.py`) queues messages in
-`_pending_messages` when `session_key in self._active_sessions`, and
-(2) **gateway runner** (`gateway/run.py`) intercepts `/stop`, `/new`,
-`/queue`, `/status`, `/approve`, `/deny` before they reach
-`running_agent.interrupt()`. Any new command that must reach the runner
-while the agent is blocked (e.g. approval prompts) MUST bypass BOTH
-guards and be dispatched inline, not via `_process_message_background()`
-(which races session lifecycle).
-
-### Squash merges from stale branches silently revert recent fixes
-Before squash-merging a PR, ensure the branch is up to date with `main`
-(`git fetch origin main && git reset --hard origin/main` in the worktree,
-then re-apply the PR's commits). A stale branch's version of an unrelated
-file will silently overwrite recent fixes on main when squashed. Verify
-with `git diff HEAD~1..HEAD` after merging — unexpected deletions are a
-red flag.
-
-### Don't wire in dead code without E2E validation
-Unused code that was never shipped was dead for a reason. Before wiring an
-unused module into a live code path, E2E test the real resolution chain
-with actual imports (not mocks) against a temp `HERMES_HOME`.
-
 ### Tests must not write to `~/.hermes/`
 The `_isolate_hermes_home` autouse fixture in `tests/conftest.py` redirects `HERMES_HOME` to a temp dir. Never hardcode `~/.hermes/` paths in tests.
 
@@ -706,7 +559,7 @@ If you can't use the wrapper (e.g. on Windows or inside an IDE that shells
 pytest directly), at minimum activate the venv and pass `-n 4`:
 
 ```bash
-source .venv/bin/activate   # or: source venv/bin/activate
+source venv/bin/activate
 python -m pytest tests/ -q -n 4
 ```
 

CONTRIBUTING.md

@@ -9,7 +9,7 @@ Thank you for contributing to Hermes Agent! This guide covers everything you nee
 We value contributions in this order:
 
 1. **Bug fixes** — crashes, incorrect behavior, data loss. Always top priority.
-2. **Cross-platform compatibility** — macOS, different Linux distros, and WSL2 on Windows. We want Hermes to work everywhere.
+2. **Cross-platform compatibility** — Windows, macOS, different Linux distros, different terminal emulators. We want Hermes to work everywhere.
 3. **Security hardening** — shell injection, prompt injection, path traversal, privilege escalation. See [Security](#security-considerations).
 4. **Performance and robustness** — retry logic, error handling, graceful degradation.
 5. **New skills** — but only broadly useful ones. See [Should it be a Skill or a Tool?](#should-it-be-a-skill-or-a-tool)
@@ -55,10 +55,10 @@ If your skill is specialized, community-contributed, or niche, it's better suite
 
 | Requirement | Notes |
 |-------------|-------|
-| **Git** | With `--recurse-submodules` support, and the `git-lfs` extension installed |
+| **Git** | With `--recurse-submodules` support |
 | **Python 3.11+** | uv will install it if missing |
 | **uv** | Fast Python package manager ([install](https://docs.astral.sh/uv/)) |
-| **Node.js 20+** | Optional — needed for browser tools and WhatsApp bridge (matches root `package.json` engines) |
+| **Node.js 18+** | Optional — needed for browser tools and WhatsApp bridge |
 
 ### Clone and install
 
@@ -88,7 +88,7 @@ cp cli-config.yaml.example ~/.hermes/config.yaml
 touch ~/.hermes/.env
 
 # Add at minimum an LLM provider key:
-echo "OPENROUTER_API_KEY=***" >> ~/.hermes/.env
+echo 'OPENROUTER_API_KEY=sk-or-v1-your-key' >> ~/.hermes/.env
 ```
 
 ### Run
@@ -515,7 +515,7 @@ See `hermes_cli/skin_engine.py` for the full schema and existing skins as exampl
 
 ## Cross-Platform Compatibility
 
-Hermes runs on Linux, macOS, and WSL2 on Windows. When writing code that touches the OS:
+Hermes runs on Linux, macOS, and Windows. When writing code that touches the OS:
 
 ### Critical rules
 
@@ -597,7 +597,7 @@ refactor/description   # Code restructuring
 
 1. **Run tests**: `pytest tests/ -v`
 2. **Test manually**: Run `hermes` and exercise the code path you changed
-3. **Check cross-platform impact**: If you touch file I/O, process management, or terminal handling, consider macOS, Linux, and WSL2
+3. **Check cross-platform impact**: If you touch file I/O, process management, or terminal handling, consider Windows and macOS
 4. **Keep PRs focused**: One logical change per PR. Don't mix a bug fix with a refactor with a new feature.
 
 ### PR description

Dockerfile

@@ -10,11 +10,9 @@ ENV PYTHONUNBUFFERED=1
 ENV PLAYWRIGHT_BROWSERS_PATH=/opt/hermes/.playwright
 
 # Install system dependencies in one layer, clear APT cache
-# tini reaps orphaned zombie processes (MCP stdio subprocesses, git, bun, etc.)
-# that would otherwise accumulate when hermes runs as PID 1. See #15012.
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
-        build-essential nodejs npm python3 ripgrep ffmpeg gcc python3-dev libffi-dev procps git openssh-client docker-cli tini && \
+        build-essential nodejs npm python3 ripgrep ffmpeg gcc python3-dev libffi-dev procps git && \
     rm -rf /var/lib/apt/lists/*
 
 # Non-root user for runtime; UID can be overridden via HERMES_UID at runtime
@@ -43,21 +41,14 @@ COPY --chown=hermes:hermes . .
 # Build web dashboard (Vite outputs to hermes_cli/web_dist/)
 RUN cd web && npm run build
 
-# ---------- Permissions ----------
-# Make install dir world-readable so any HERMES_UID can read it at runtime.
-# The venv needs to be traversable too.
-USER root
-RUN chmod -R a+rX /opt/hermes
-# Start as root so the entrypoint can usermod/groupmod + gosu.
-# If HERMES_UID is unset, the entrypoint drops to the default hermes user (10000).
-
 # ---------- Python virtualenv ----------
+RUN chown hermes:hermes /opt/hermes
+USER hermes
 RUN uv venv && \
     uv pip install --no-cache-dir -e ".[all]"
 
 # ---------- Runtime ----------
 ENV HERMES_WEB_DIST=/opt/hermes/hermes_cli/web_dist
 ENV HERMES_HOME=/opt/data
-ENV PATH="/opt/data/.local/bin:${PATH}"
 VOLUME [ "/opt/data" ]
-ENTRYPOINT [ "/usr/bin/tini", "-g", "--", "/opt/hermes/docker/entrypoint.sh" ]
+ENTRYPOINT [ "/opt/hermes/docker/entrypoint.sh" ]

README.md

@@ -76,7 +76,7 @@ Hermes has two entry points: start the terminal UI with `hermes`, or run the gat
 | Set a personality | `/personality [name]` | `/personality [name]` |
 | Retry or undo the last turn | `/retry`, `/undo` | `/retry`, `/undo` |
 | Compress context / check usage | `/compress`, `/usage`, `/insights [--days N]` | `/compress`, `/usage`, `/insights [days]` |
-| Browse skills | `/skills` or `/<skill-name>` | `/<skill-name>` |
+| Browse skills | `/skills` or `/<skill-name>` | `/skills` or `/<skill-name>` |
 | Interrupt current work | `Ctrl+C` or send a new message | `/stop` or send a new message |
 | Platform-specific status | `/platforms` | `/status`, `/sethome` |
 
@@ -157,10 +157,14 @@ curl -LsSf https://astral.sh/uv/install.sh | sh
 uv venv venv --python 3.11
 source venv/bin/activate
 uv pip install -e ".[all,dev]"
-scripts/run_tests.sh
+python -m pytest tests/ -q
 ```
 
-> **RL Training (optional):** The RL/Atropos integration (`environments/`) ships via the `atroposlib` and `tinker` dependencies pulled in by `.[all,dev]` — no submodule setup required.
+> **RL Training (optional):** To work on the RL/Tinker-Atropos integration:
+> ```bash
+> git submodule update --init tinker-atropos
+> uv pip install -e "./tinker-atropos"
+> ```
 
 ---
 
@@ -169,6 +173,7 @@ scripts/run_tests.sh
 - 💬 [Discord](https://discord.gg/NousResearch)
 - 📚 [Skills Hub](https://agentskills.io)
 - 🐛 [Issues](https://github.com/NousResearch/hermes-agent/issues)
+- 💡 [Discussions](https://github.com/NousResearch/hermes-agent/discussions)
 - 🔌 [HermesClaw](https://github.com/AaronWong1999/hermesclaw) — Community WeChat bridge: Run Hermes Agent and OpenClaw on the same WeChat account.
 
 ---

RELEASE_v0.11.0.md

@@ -1,453 +0,0 @@
-# Hermes Agent v0.11.0 (v2026.4.23)
-
-**Release Date:** April 23, 2026
-**Since v0.9.0:** 1,556 commits · 761 merged PRs · 1,314 files changed · 224,174 insertions · 29 community contributors (290 including co-authors)
-
-> The Interface release — a full React/Ink rewrite of the interactive CLI, a pluggable transport architecture underneath every provider, native AWS Bedrock support, five new inference paths, a 17th messaging platform (QQBot), a dramatically expanded plugin surface, and GPT-5.5 via Codex OAuth.
-
-This release also folds in all the highlights deferred from v0.10.0 (which shipped only the Nous Tool Gateway) — so it covers roughly two weeks of work across the whole stack.
-
----
-
-## ✨ Highlights
-
-- **New Ink-based TUI** — `hermes --tui` is now a full React/Ink rewrite of the interactive CLI, with a Python JSON-RPC backend (`tui_gateway`). Sticky composer, live streaming with OSC-52 clipboard support, stable picker keys, status bar with per-turn stopwatch and git branch, `/clear` confirm, light-theme preset, and a subagent spawn observability overlay. ~310 commits to `ui-tui/` + `tui_gateway/`. (@OutThisLife + Teknium)
-
-- **Transport ABC + Native AWS Bedrock** — Format conversion and HTTP transport were extracted from `run_agent.py` into a pluggable `agent/transports/` layer. `AnthropicTransport`, `ChatCompletionsTransport`, `ResponsesApiTransport`, and `BedrockTransport` each own their own format conversion and API shape. Native AWS Bedrock support via the Converse API ships on top of the new abstraction. ([#10549](https://github.com/NousResearch/hermes-agent/pull/10549), [#13347](https://github.com/NousResearch/hermes-agent/pull/13347), [#13366](https://github.com/NousResearch/hermes-agent/pull/13366), [#13430](https://github.com/NousResearch/hermes-agent/pull/13430), [#13805](https://github.com/NousResearch/hermes-agent/pull/13805), [#13814](https://github.com/NousResearch/hermes-agent/pull/13814) — @kshitijk4poor + Teknium)
-
-- **Five new inference paths** — Native NVIDIA NIM ([#11774](https://github.com/NousResearch/hermes-agent/pull/11774)), Arcee AI ([#9276](https://github.com/NousResearch/hermes-agent/pull/9276)), Step Plan ([#13893](https://github.com/NousResearch/hermes-agent/pull/13893)), Google Gemini CLI OAuth ([#11270](https://github.com/NousResearch/hermes-agent/pull/11270)), and Vercel ai-gateway with pricing + dynamic discovery ([#13223](https://github.com/NousResearch/hermes-agent/pull/13223) — @jerilynzheng). Plus Gemini routed through the native AI Studio API for better performance ([#12674](https://github.com/NousResearch/hermes-agent/pull/12674)).
-
-- **GPT-5.5 over Codex OAuth** — OpenAI's new GPT-5.5 reasoning model is now available through your ChatGPT Codex OAuth, with live model discovery wired into the model picker so new OpenAI releases show up without catalog updates. ([#14720](https://github.com/NousResearch/hermes-agent/pull/14720))
-
-- **QQBot — 17th supported platform** — Native QQBot adapter via QQ Official API v2, with QR scan-to-configure setup wizard, streaming cursor, emoji reactions, and DM/group policy gating that matches WeCom/Weixin parity. ([#9364](https://github.com/NousResearch/hermes-agent/pull/9364), [#11831](https://github.com/NousResearch/hermes-agent/pull/11831))
-
-- **Plugin surface expanded** — Plugins can now register slash commands (`register_command`), dispatch tools directly (`dispatch_tool`), block tool execution from hooks (`pre_tool_call` can veto), rewrite tool results (`transform_tool_result`), transform terminal output (`transform_terminal_output`), ship image_gen backends, and add custom dashboard tabs. The bundled disk-cleanup plugin is opt-in by default as a reference implementation. ([#9377](https://github.com/NousResearch/hermes-agent/pull/9377), [#10626](https://github.com/NousResearch/hermes-agent/pull/10626), [#10763](https://github.com/NousResearch/hermes-agent/pull/10763), [#10951](https://github.com/NousResearch/hermes-agent/pull/10951), [#12929](https://github.com/NousResearch/hermes-agent/pull/12929), [#12944](https://github.com/NousResearch/hermes-agent/pull/12944), [#12972](https://github.com/NousResearch/hermes-agent/pull/12972), [#13799](https://github.com/NousResearch/hermes-agent/pull/13799), [#14175](https://github.com/NousResearch/hermes-agent/pull/14175))
-
-- **`/steer` — mid-run agent nudges** — `/steer <prompt>` injects a note that the running agent sees after its next tool call, without interrupting the turn or breaking prompt cache. For when you want to course-correct an agent in-flight. ([#12116](https://github.com/NousResearch/hermes-agent/pull/12116))
-
-- **Shell hooks** — Wire any shell script as a Hermes lifecycle hook (pre_tool_call, post_tool_call, on_session_start, etc.) without writing a Python plugin. ([#13296](https://github.com/NousResearch/hermes-agent/pull/13296))
-
-- **Webhook direct-delivery mode** — Webhook subscriptions can now forward payloads straight to a platform chat without going through the agent — zero-LLM push notifications for alerting, uptime checks, and event streams. ([#12473](https://github.com/NousResearch/hermes-agent/pull/12473))
-
-- **Smarter delegation** — Subagents now have an explicit `orchestrator` role that can spawn their own workers, with configurable `max_spawn_depth` (default flat). Concurrent sibling subagents share filesystem state through a file-coordination layer so they don't clobber each other's edits. ([#13691](https://github.com/NousResearch/hermes-agent/pull/13691), [#13718](https://github.com/NousResearch/hermes-agent/pull/13718))
-
-- **Auxiliary models — configurable UI + main-model-first** — `hermes model` has a dedicated "Configure auxiliary models" screen for per-task overrides (compression, vision, session_search, title_generation). `auto` routing now defaults to the main model for side tasks across all users (previously aggregator users were silently routed to a cheap provider-side default). ([#11891](https://github.com/NousResearch/hermes-agent/pull/11891), [#11900](https://github.com/NousResearch/hermes-agent/pull/11900))
-
-- **Dashboard plugin system + live theme switching** — The web dashboard is now extensible. Third-party plugins can add custom tabs, widgets, and views without forking. Paired with a live-switching theme system — themes now control colors, fonts, layout, and density — so users can hot-swap the dashboard look without a reload. Same theming discipline the CLI has, now on the web. ([#10951](https://github.com/NousResearch/hermes-agent/pull/10951), [#10687](https://github.com/NousResearch/hermes-agent/pull/10687), [#14725](https://github.com/NousResearch/hermes-agent/pull/14725))
-
-- **Dashboard polish** — i18n (English + Chinese), react-router sidebar layout, mobile-responsive, Vercel deployment, real per-session API call tracking, and one-click update + gateway restart buttons. ([#9228](https://github.com/NousResearch/hermes-agent/pull/9228), [#9370](https://github.com/NousResearch/hermes-agent/pull/9370), [#9453](https://github.com/NousResearch/hermes-agent/pull/9453), [#10686](https://github.com/NousResearch/hermes-agent/pull/10686), [#13526](https://github.com/NousResearch/hermes-agent/pull/13526), [#14004](https://github.com/NousResearch/hermes-agent/pull/14004) — @austinpickett + @DeployFaith + Teknium)
-
----
-
-## 🏗️ Core Agent & Architecture
-
-### Transport Layer (NEW)
-- **Transport ABC** abstracts format conversion and HTTP transport from `run_agent.py` into `agent/transports/` ([#13347](https://github.com/NousResearch/hermes-agent/pull/13347))
-- **AnthropicTransport** — Anthropic Messages API path ([#13366](https://github.com/NousResearch/hermes-agent/pull/13366), @kshitijk4poor)
-- **ChatCompletionsTransport** — default path for OpenAI-compatible providers ([#13805](https://github.com/NousResearch/hermes-agent/pull/13805))
-- **ResponsesApiTransport** — OpenAI Responses API + Codex build_kwargs wiring ([#13430](https://github.com/NousResearch/hermes-agent/pull/13430), @kshitijk4poor)
-- **BedrockTransport** — AWS Bedrock Converse API transport ([#13814](https://github.com/NousResearch/hermes-agent/pull/13814))
-
-### Provider & Model Support
-- **Native AWS Bedrock provider** via Converse API ([#10549](https://github.com/NousResearch/hermes-agent/pull/10549))
-- **NVIDIA NIM native provider** (salvage of #11703) ([#11774](https://github.com/NousResearch/hermes-agent/pull/11774))
-- **Arcee AI direct provider** ([#9276](https://github.com/NousResearch/hermes-agent/pull/9276))
-- **Step Plan provider** (salvage #6005) ([#13893](https://github.com/NousResearch/hermes-agent/pull/13893), @kshitijk4poor)
-- **Google Gemini CLI OAuth** inference provider ([#11270](https://github.com/NousResearch/hermes-agent/pull/11270))
-- **Vercel ai-gateway** with pricing, attribution, and dynamic discovery ([#13223](https://github.com/NousResearch/hermes-agent/pull/13223), @jerilynzheng)
-- **GPT-5.5 over Codex OAuth** with live model discovery in the picker ([#14720](https://github.com/NousResearch/hermes-agent/pull/14720))
-- **Gemini routed through native AI Studio API** ([#12674](https://github.com/NousResearch/hermes-agent/pull/12674))
-- **xAI Grok upgraded to Responses API** ([#10783](https://github.com/NousResearch/hermes-agent/pull/10783))
-- **Ollama improvements** — Cloud provider support, GLM continuation, `think=false` control, surrogate sanitization, `/v1` hint ([#10782](https://github.com/NousResearch/hermes-agent/pull/10782))
-- **Kimi K2.6** across OpenRouter, Nous Portal, native Kimi, and HuggingFace ([#13148](https://github.com/NousResearch/hermes-agent/pull/13148), [#13152](https://github.com/NousResearch/hermes-agent/pull/13152), [#13169](https://github.com/NousResearch/hermes-agent/pull/13169))
-- **Kimi K2.5** promoted to first position in all model suggestion lists ([#11745](https://github.com/NousResearch/hermes-agent/pull/11745), @kshitijk4poor)
-- **Xiaomi MiMo v2.5-pro + v2.5** on OpenRouter, Nous Portal, and native ([#14184](https://github.com/NousResearch/hermes-agent/pull/14184), [#14635](https://github.com/NousResearch/hermes-agent/pull/14635), @kshitijk4poor)
-- **GLM-5V-Turbo** for coding plan ([#9907](https://github.com/NousResearch/hermes-agent/pull/9907))
-- **Claude Opus 4.7** in Nous Portal catalog ([#11398](https://github.com/NousResearch/hermes-agent/pull/11398))
-- **OpenRouter elephant-alpha** in curated lists ([#9378](https://github.com/NousResearch/hermes-agent/pull/9378))
-- **OpenCode-Go** — Kimi K2.6 and Qwen3.5/3.6 Plus in curated catalog ([#13429](https://github.com/NousResearch/hermes-agent/pull/13429))
-- **minimax/minimax-m2.5:free** in OpenRouter catalog ([#13836](https://github.com/NousResearch/hermes-agent/pull/13836))
-- **`/model` merges models.dev entries** for lesser-loved providers ([#14221](https://github.com/NousResearch/hermes-agent/pull/14221))
-- **Per-provider + per-model `request_timeout_seconds`** config ([#12652](https://github.com/NousResearch/hermes-agent/pull/12652))
-- **Configurable API retry count** via `agent.api_max_retries` ([#14730](https://github.com/NousResearch/hermes-agent/pull/14730))
-- **ctx_size context length key** for Lemonade server (salvage #8536) ([#14215](https://github.com/NousResearch/hermes-agent/pull/14215))
-- **Custom provider display name prompt** ([#9420](https://github.com/NousResearch/hermes-agent/pull/9420))
-- **Recommendation badges** on tool provider selection ([#9929](https://github.com/NousResearch/hermes-agent/pull/9929))
-- Fix: correct GPT-5 family context lengths in fallback defaults ([#9309](https://github.com/NousResearch/hermes-agent/pull/9309))
-- Fix: clamp `minimal` reasoning effort to `low` on Responses API ([#9429](https://github.com/NousResearch/hermes-agent/pull/9429))
-- Fix: strip reasoning item IDs from Responses API input when `store=False` ([#10217](https://github.com/NousResearch/hermes-agent/pull/10217))
-- Fix: OpenViking correct account default + commit session on `/new` and compress ([#10463](https://github.com/NousResearch/hermes-agent/pull/10463))
-- Fix: Kimi `/coding` thinking block survival + empty reasoning_content + block ordering (multiple PRs)
-- Fix: don't send Anthropic thinking to api.kimi.com/coding ([#13826](https://github.com/NousResearch/hermes-agent/pull/13826))
-- Fix: send `max_tokens`, `reasoning_effort`, and `thinking` for Kimi/Moonshot
-- Fix: stream reasoning content through OpenAI-compatible providers that emit it
-
-### Agent Loop & Conversation
-- **`/steer <prompt>`** — mid-run agent nudges after next tool call ([#12116](https://github.com/NousResearch/hermes-agent/pull/12116))
-- **Orchestrator role + configurable spawn depth** for `delegate_task` (default flat) ([#13691](https://github.com/NousResearch/hermes-agent/pull/13691))
-- **Cross-agent file state coordination** for concurrent subagents ([#13718](https://github.com/NousResearch/hermes-agent/pull/13718))
-- **Compressor smart collapse, dedup, anti-thrashing**, template upgrade, hardening ([#10088](https://github.com/NousResearch/hermes-agent/pull/10088))
-- **Compression summaries respect the conversation's language** ([#12556](https://github.com/NousResearch/hermes-agent/pull/12556))
-- **Compression model falls back to main model** on permanent 503/404 ([#10093](https://github.com/NousResearch/hermes-agent/pull/10093))
-- **Auto-continue interrupted agent work** after gateway restart ([#9934](https://github.com/NousResearch/hermes-agent/pull/9934))
-- **Activity heartbeats** prevent false gateway inactivity timeouts ([#10501](https://github.com/NousResearch/hermes-agent/pull/10501))
-- **Auxiliary models UI** — dedicated screen for per-task overrides ([#11891](https://github.com/NousResearch/hermes-agent/pull/11891))
-- **Auxiliary auto routing defaults to main model** for all users ([#11900](https://github.com/NousResearch/hermes-agent/pull/11900))
-- **PLATFORM_HINTS for Matrix, Mattermost, Feishu** ([#14428](https://github.com/NousResearch/hermes-agent/pull/14428), @alt-glitch)
-- Fix: reset retry counters after compression; stop poisoning conversation history ([#10055](https://github.com/NousResearch/hermes-agent/pull/10055))
-- Fix: break compression-exhaustion infinite loop and auto-reset session ([#10063](https://github.com/NousResearch/hermes-agent/pull/10063))
-- Fix: stale agent timeout, uv venv detection, empty response after tools ([#10065](https://github.com/NousResearch/hermes-agent/pull/10065))
-- Fix: prevent premature loop exit when weak models return empty after substantive tool calls ([#10472](https://github.com/NousResearch/hermes-agent/pull/10472))
-- Fix: preserve pre-start terminal interrupts ([#10504](https://github.com/NousResearch/hermes-agent/pull/10504))
-- Fix: improve interrupt responsiveness during concurrent tool execution ([#10935](https://github.com/NousResearch/hermes-agent/pull/10935))
-- Fix: word-wrap spinner, interruptable agent join, and delegate_task interrupt ([#10940](https://github.com/NousResearch/hermes-agent/pull/10940))
-- Fix: `/stop` no longer resets the session ([#9224](https://github.com/NousResearch/hermes-agent/pull/9224))
-- Fix: honor interrupts during MCP tool waits ([#9382](https://github.com/NousResearch/hermes-agent/pull/9382), @helix4u)
-- Fix: break stuck session resume loops after repeated restarts ([#9941](https://github.com/NousResearch/hermes-agent/pull/9941))
-- Fix: empty response nudge crash + placeholder leak to cron targets ([#11021](https://github.com/NousResearch/hermes-agent/pull/11021))
-- Fix: streaming cursor sanitization to prevent message truncation (multiple PRs)
-- Fix: resolve `context_length` for plugin context engines ([#9238](https://github.com/NousResearch/hermes-agent/pull/9238))
-
-### Session & Memory
-- **Auto-prune old sessions + VACUUM state.db** at startup ([#13861](https://github.com/NousResearch/hermes-agent/pull/13861))
-- **Honcho overhaul** — context injection, 5-tool surface, cost safety, session isolation ([#10619](https://github.com/NousResearch/hermes-agent/pull/10619))
-- **Hindsight richer session-scoped retain metadata** (salvage of #6290) ([#13987](https://github.com/NousResearch/hermes-agent/pull/13987))
-- Fix: deduplicate memory provider tools to prevent 400 on strict providers ([#10511](https://github.com/NousResearch/hermes-agent/pull/10511))
-- Fix: discover user-installed memory providers from `$HERMES_HOME/plugins/` ([#10529](https://github.com/NousResearch/hermes-agent/pull/10529))
-- Fix: add `on_memory_write` bridge to sequential tool execution path ([#10507](https://github.com/NousResearch/hermes-agent/pull/10507))
-- Fix: preserve `session_id` across `previous_response_id` chains in `/v1/responses` ([#10059](https://github.com/NousResearch/hermes-agent/pull/10059))
-
----
-
-## 🖥️ New Ink-based TUI
-
-A full React/Ink rewrite of the interactive CLI — invoked via `hermes --tui` or `HERMES_TUI=1`. Shipped across ~310 commits to `ui-tui/` and `tui_gateway/`.
-
-### TUI Foundations
-- New TUI based on Ink + Python JSON-RPC backend
-- Prettier + ESLint + vitest tooling for `ui-tui/`
-- Entry split between `src/entry.tsx` (TTY gate) and `src/app.tsx` (state machine)
-- Persistent `_SlashWorker` subprocess for slash command dispatch
-
-### UX & Features
-- **Stable picker keys, /clear confirm, light-theme preset** ([#12312](https://github.com/NousResearch/hermes-agent/pull/12312), @OutThisLife)
-- **Git branch in status bar** cwd label ([#12305](https://github.com/NousResearch/hermes-agent/pull/12305), @OutThisLife)
-- **Per-turn elapsed stopwatch in FaceTicker + done-in sys line** ([#13105](https://github.com/NousResearch/hermes-agent/pull/13105), @OutThisLife)
-- **Subagent spawn observability overlay** ([#14045](https://github.com/NousResearch/hermes-agent/pull/14045), @OutThisLife)
-- **Per-prompt elapsed stopwatch in status bar** ([#12948](https://github.com/NousResearch/hermes-agent/pull/12948))
-- Sticky composer that freezes during scroll
-- OSC-52 clipboard support for copy across SSH sessions
-- Virtualized history rendering for performance
-- Slash command autocomplete via `complete.slash` RPC
-- Path autocomplete via `complete.path` RPC
-- Dozens of resize/ghosting/sticky-prompt fixes landed through the week
-
-### Structural Refactors
-- Decomposed `app.tsx` into `app/event-handler`, `app/slash-handler`, `app/stores`, `app/hooks` ([#14640](https://github.com/NousResearch/hermes-agent/pull/14640) and surrounding)
-- Component split: `branding.tsx`, `markdown.tsx`, `prompts.tsx`, `sessionPicker.tsx`, `messageLine.tsx`, `thinking.tsx`, `maskedPrompt.tsx`
-- Hook split: `useCompletion`, `useInputHistory`, `useQueue`, `useVirtualHistory`
-
----
-
-## 📱 Messaging Platforms (Gateway)
-
-### New Platforms
-- **QQBot (17th platform)** — QQ Official API v2 adapter with QR setup, streaming, package split ([#9364](https://github.com/NousResearch/hermes-agent/pull/9364), [#11831](https://github.com/NousResearch/hermes-agent/pull/11831))
-
-### Telegram
-- **Dedicated `TELEGRAM_PROXY` env var + config.yaml proxy support** (closes #9414, #6530, #9074, #7786) ([#10681](https://github.com/NousResearch/hermes-agent/pull/10681))
-- **`ignored_threads` config** for Telegram groups ([#9530](https://github.com/NousResearch/hermes-agent/pull/9530))
-- **Config option to disable link previews** (closes #8728) ([#10610](https://github.com/NousResearch/hermes-agent/pull/10610))
-- **Auto-wrap markdown tables** in code blocks ([#11794](https://github.com/NousResearch/hermes-agent/pull/11794))
-- Fix: prevent duplicate replies when stream task is cancelled ([#9319](https://github.com/NousResearch/hermes-agent/pull/9319))
-- Fix: prevent streaming cursor (▉) from appearing as standalone messages ([#9538](https://github.com/NousResearch/hermes-agent/pull/9538))
-- Fix: retry transient tool sends + cold-boot budget ([#10947](https://github.com/NousResearch/hermes-agent/pull/10947))
-- Fix: Markdown special char escaping in `send_exec_approval`
-- Fix: parentheses in URLs during MarkdownV2 link conversion
-- Fix: Unicode dash normalization in model switch (closes iOS smart-punctuation issue)
-- Many platform hint / streaming / session-key fixes
-
-### Discord
-- **Forum channel support** (salvage of #10145 + media + polish) ([#11920](https://github.com/NousResearch/hermes-agent/pull/11920))
-- **`DISCORD_ALLOWED_ROLES`** for role-based access control ([#11608](https://github.com/NousResearch/hermes-agent/pull/11608))
-- **Config option to disable slash commands** (salvage #13130) ([#14315](https://github.com/NousResearch/hermes-agent/pull/14315))
-- **Native `send_animation`** for inline GIF playback ([#10283](https://github.com/NousResearch/hermes-agent/pull/10283))
-- **`send_message` Discord media attachments** ([#10246](https://github.com/NousResearch/hermes-agent/pull/10246))
-- **`/skill` command group** with category subcommands ([#9909](https://github.com/NousResearch/hermes-agent/pull/9909))
-- **Extract reply text from message references** ([#9781](https://github.com/NousResearch/hermes-agent/pull/9781))
-
-### Feishu
-- **Intelligent reply on document comments** with 3-tier access control ([#11898](https://github.com/NousResearch/hermes-agent/pull/11898))
-- **Show processing state via reactions** on user messages ([#12927](https://github.com/NousResearch/hermes-agent/pull/12927))
-- **Preserve @mention context for agent consumption** (salvage #13874) ([#14167](https://github.com/NousResearch/hermes-agent/pull/14167))
-
-### DingTalk
-- **`require_mention` + `allowed_users` gating** (parity with Slack/Telegram/Discord) ([#11564](https://github.com/NousResearch/hermes-agent/pull/11564))
-- **QR-code device-flow authorization** for setup wizard ([#11574](https://github.com/NousResearch/hermes-agent/pull/11574))
-- **AI Cards streaming, emoji reactions, and media handling** (salvage of #10985) ([#11910](https://github.com/NousResearch/hermes-agent/pull/11910))
-
-### WhatsApp
-- **`send_voice`** — native audio message delivery ([#13002](https://github.com/NousResearch/hermes-agent/pull/13002))
-- **`dm_policy` and `group_policy`** parity with WeCom/Weixin/QQ adapters ([#13151](https://github.com/NousResearch/hermes-agent/pull/13151))
-
-### WeCom / Weixin
-- **WeCom QR-scan bot creation + interactive setup wizard** (salvage #13923) ([#13961](https://github.com/NousResearch/hermes-agent/pull/13961))
-
-### Signal
-- **Media delivery support** via `send_message` ([#13178](https://github.com/NousResearch/hermes-agent/pull/13178))
-
-### Slack
-- **Per-thread sessions for DMs by default** ([#10987](https://github.com/NousResearch/hermes-agent/pull/10987))
-
-### BlueBubbles (iMessage)
-- Group chat session separation, webhook registration & auth fixes ([#9806](https://github.com/NousResearch/hermes-agent/pull/9806))
-
-### Gateway Core
-- **Gateway proxy mode** — forward messages to a remote API server ([#9787](https://github.com/NousResearch/hermes-agent/pull/9787))
-- **Per-channel ephemeral prompts** (Discord, Telegram, Slack, Mattermost) ([#10564](https://github.com/NousResearch/hermes-agent/pull/10564))
-- **Surface plugin slash commands** natively on all platforms + decision-capable command hook ([#14175](https://github.com/NousResearch/hermes-agent/pull/14175))
-- **Support document/archive extensions in MEDIA: tag extraction** (salvage #8255) ([#14307](https://github.com/NousResearch/hermes-agent/pull/14307))
-- **Recognize `.pdf` in MEDIA: tag extraction** ([#13683](https://github.com/NousResearch/hermes-agent/pull/13683))
-- **`--all` flag for `gateway start` and `restart`** ([#10043](https://github.com/NousResearch/hermes-agent/pull/10043))
-- **Notify active sessions on gateway shutdown** + update health check ([#9850](https://github.com/NousResearch/hermes-agent/pull/9850))
-- **Block agent from self-destructing the gateway** via terminal (closes #6666) ([#9895](https://github.com/NousResearch/hermes-agent/pull/9895))
-- Fix: suppress duplicate replies on interrupt and streaming flood control ([#10235](https://github.com/NousResearch/hermes-agent/pull/10235))
-- Fix: close temporary agents after one-off tasks ([#11028](https://github.com/NousResearch/hermes-agent/pull/11028), @kshitijk4poor)
-- Fix: busy-session ack when user messages during active agent run ([#10068](https://github.com/NousResearch/hermes-agent/pull/10068))
-- Fix: route watch-pattern notifications to the originating session ([#10460](https://github.com/NousResearch/hermes-agent/pull/10460))
-- Fix: preserve notify context in executor threads ([#10921](https://github.com/NousResearch/hermes-agent/pull/10921), @kshitijk4poor)
-- Fix: avoid duplicate replies after interrupted long tasks ([#11018](https://github.com/NousResearch/hermes-agent/pull/11018))
-- Fix: unlink stale PID + lock files on cleanup
-- Fix: force-unlink stale PID file after `--replace` takeover
-
----
-
-## 🔧 Tool System
-
-### Plugin Surface (major expansion)
-- **`register_command()`** — plugins can now add slash commands ([#10626](https://github.com/NousResearch/hermes-agent/pull/10626))
-- **`dispatch_tool()`** — plugins can invoke tools from their code ([#10763](https://github.com/NousResearch/hermes-agent/pull/10763))
-- **`pre_tool_call` blocking** — plugins can veto tool execution ([#9377](https://github.com/NousResearch/hermes-agent/pull/9377))
-- **`transform_tool_result`** — plugins rewrite tool results generically ([#12972](https://github.com/NousResearch/hermes-agent/pull/12972))
-- **`transform_terminal_output`** — plugins rewrite terminal tool output ([#12929](https://github.com/NousResearch/hermes-agent/pull/12929))
-- **Namespaced skill registration** for plugin skill bundles ([#9786](https://github.com/NousResearch/hermes-agent/pull/9786))
-- **Opt-in-by-default + bundled disk-cleanup plugin** (salvage #12212) ([#12944](https://github.com/NousResearch/hermes-agent/pull/12944))
-- **Pluggable `image_gen` backends + OpenAI provider** ([#13799](https://github.com/NousResearch/hermes-agent/pull/13799))
-- **`openai-codex` image_gen plugin** (gpt-image-2 via Codex OAuth) ([#14317](https://github.com/NousResearch/hermes-agent/pull/14317))
-- **Shell hooks** — wire shell scripts as hook callbacks ([#13296](https://github.com/NousResearch/hermes-agent/pull/13296))
-
-### Browser
-- **`browser_cdp` raw DevTools Protocol passthrough** ([#12369](https://github.com/NousResearch/hermes-agent/pull/12369))
-- Camofox hardening + connection stability across the window
-
-### Execute Code
-- **Project/strict execution modes** (default: project) ([#11971](https://github.com/NousResearch/hermes-agent/pull/11971))
-
-### Image Generation
-- **Multi-model FAL support** with picker in `hermes tools` ([#11265](https://github.com/NousResearch/hermes-agent/pull/11265))
-- **Recraft V3 → V4 Pro, Nano Banana → Pro upgrades** ([#11406](https://github.com/NousResearch/hermes-agent/pull/11406))
-- **GPT Image 2** in FAL catalog ([#13677](https://github.com/NousResearch/hermes-agent/pull/13677))
-- **xAI image generation provider** (grok-imagine-image) ([#14765](https://github.com/NousResearch/hermes-agent/pull/14765))
-
-### TTS / STT / Voice
-- **Google Gemini TTS provider** ([#11229](https://github.com/NousResearch/hermes-agent/pull/11229))
-- **xAI Grok STT provider** ([#14473](https://github.com/NousResearch/hermes-agent/pull/14473))
-- **xAI TTS** (shipped with Responses API upgrade) ([#10783](https://github.com/NousResearch/hermes-agent/pull/10783))
-- **KittenTTS local provider** (salvage of #2109) ([#13395](https://github.com/NousResearch/hermes-agent/pull/13395))
-- **CLI record beep toggle** ([#13247](https://github.com/NousResearch/hermes-agent/pull/13247), @helix4u)
-
-### Webhook / Cron
-- **Webhook direct-delivery mode** — zero-LLM push notifications ([#12473](https://github.com/NousResearch/hermes-agent/pull/12473))
-- **Cron `wakeAgent` gate** — scripts can skip the agent entirely ([#12373](https://github.com/NousResearch/hermes-agent/pull/12373))
-- **Cron per-job `enabled_toolsets`** — cap token overhead + cost per job ([#14767](https://github.com/NousResearch/hermes-agent/pull/14767))
-
-### Delegate
-- **Orchestrator role** + configurable spawn depth (default flat) ([#13691](https://github.com/NousResearch/hermes-agent/pull/13691))
-- **Cross-agent file state coordination** ([#13718](https://github.com/NousResearch/hermes-agent/pull/13718))
-
-### File / Patch
-- **`patch` — "did you mean?" feedback** when patch fails to match ([#13435](https://github.com/NousResearch/hermes-agent/pull/13435))
-
-### API Server
-- **Stream `/v1/responses` SSE tool events** (salvage #9779) ([#10049](https://github.com/NousResearch/hermes-agent/pull/10049))
-- **Inline image inputs** on `/v1/chat/completions` and `/v1/responses` ([#12969](https://github.com/NousResearch/hermes-agent/pull/12969))
-
-### Docker / Podman
-- **Entry-level Podman support** — `find_docker()` + rootless entrypoint ([#10066](https://github.com/NousResearch/hermes-agent/pull/10066))
-- **Add docker-cli to Docker image** (salvage #10096) ([#14232](https://github.com/NousResearch/hermes-agent/pull/14232))
-- **File-sync back to host on teardown** (salvage of #8189 + hardening) ([#11291](https://github.com/NousResearch/hermes-agent/pull/11291))
-
-### MCP
-- 12 MCP improvements across the window (status, timeout handling, tool-call forwarding, etc.)
-
----
-
-## 🧩 Skills Ecosystem
-
-### Skill System
-- **Namespaced skill registration** for plugin bundles ([#9786](https://github.com/NousResearch/hermes-agent/pull/9786))
-- **`hermes skills reset`** to un-stick bundled skills ([#11468](https://github.com/NousResearch/hermes-agent/pull/11468))
-- **Skills guard opt-in** — `config.skills.guard_agent_created` (default off) ([#14557](https://github.com/NousResearch/hermes-agent/pull/14557))
-- **Bundled skill scripts runnable out of the box** ([#13384](https://github.com/NousResearch/hermes-agent/pull/13384))
-- **`xitter` replaced with `xurl`** — the official X API CLI ([#12303](https://github.com/NousResearch/hermes-agent/pull/12303))
-- **MiniMax-AI/cli as default skill tap** (salvage #7501) ([#14493](https://github.com/NousResearch/hermes-agent/pull/14493))
-- **Fuzzy `@` file completions + mtime sorting** ([#9467](https://github.com/NousResearch/hermes-agent/pull/9467))
-
-### New Skills
-- **concept-diagrams** (salvage of #11045, @v1k22) ([#11363](https://github.com/NousResearch/hermes-agent/pull/11363))
-- **architecture-diagram** (Cocoon AI port) ([#9906](https://github.com/NousResearch/hermes-agent/pull/9906))
-- **pixel-art** with hardware palettes and video animation ([#12663](https://github.com/NousResearch/hermes-agent/pull/12663), [#12725](https://github.com/NousResearch/hermes-agent/pull/12725))
-- **baoyu-comic** ([#13257](https://github.com/NousResearch/hermes-agent/pull/13257), @JimLiu)
-- **baoyu-infographic** — 21 layouts × 21 styles (salvage #9901) ([#12254](https://github.com/NousResearch/hermes-agent/pull/12254))
-- **page-agent** — embed Alibaba's in-page GUI agent in your webapp ([#13976](https://github.com/NousResearch/hermes-agent/pull/13976))
-- **fitness-nutrition** optional skill + optional env var support ([#9355](https://github.com/NousResearch/hermes-agent/pull/9355))
-- **drug-discovery** — ChEMBL, PubChem, OpenFDA, ADMET ([#9443](https://github.com/NousResearch/hermes-agent/pull/9443))
-- **touchdesigner-mcp** (salvage of #10081) ([#12298](https://github.com/NousResearch/hermes-agent/pull/12298))
-- **adversarial-ux-test** optional skill (salvage of #2494, @omnissiah-comelse) ([#13425](https://github.com/NousResearch/hermes-agent/pull/13425))
-- **maps** — added `guest_house`, `camp_site`, and dual-key bakery lookup ([#13398](https://github.com/NousResearch/hermes-agent/pull/13398))
-- **llm-wiki** — port provenance markers, source hashing, and quality signals ([#13700](https://github.com/NousResearch/hermes-agent/pull/13700))
-
----
-
-## 📊 Web Dashboard
-
-- **i18n (English + Chinese) language switcher** ([#9453](https://github.com/NousResearch/hermes-agent/pull/9453))
-- **Live-switching theme system** ([#10687](https://github.com/NousResearch/hermes-agent/pull/10687))
-- **Dashboard plugin system** — extend the web UI with custom tabs ([#10951](https://github.com/NousResearch/hermes-agent/pull/10951))
-- **react-router, sidebar layout, sticky header, dropdown component** ([#9370](https://github.com/NousResearch/hermes-agent/pull/9370), @austinpickett)
-- **Responsive for mobile** ([#9228](https://github.com/NousResearch/hermes-agent/pull/9228), @DeployFaith)
-- **Vercel deployment** ([#10686](https://github.com/NousResearch/hermes-agent/pull/10686), [#11061](https://github.com/NousResearch/hermes-agent/pull/11061), @austinpickett)
-- **Context window config support** ([#9357](https://github.com/NousResearch/hermes-agent/pull/9357))
-- **HTTP health probe for cross-container gateway detection** ([#9894](https://github.com/NousResearch/hermes-agent/pull/9894))
-- **Update + restart gateway buttons** ([#13526](https://github.com/NousResearch/hermes-agent/pull/13526), @austinpickett)
-- **Real API call count per session** (salvages #10140) ([#14004](https://github.com/NousResearch/hermes-agent/pull/14004))
-
----
-
-## 🖱️ CLI & User Experience
-
-- **Dynamic shell completion for bash, zsh, and fish** ([#9785](https://github.com/NousResearch/hermes-agent/pull/9785))
-- **Light-mode skins + skin-aware completion menus** ([#9461](https://github.com/NousResearch/hermes-agent/pull/9461))
-- **Numbered keyboard shortcuts** on approval and clarify prompts ([#13416](https://github.com/NousResearch/hermes-agent/pull/13416))
-- **Markdown stripping, compact multiline previews, external editor** ([#12934](https://github.com/NousResearch/hermes-agent/pull/12934))
-- **`--ignore-user-config` and `--ignore-rules` flags** (port codex#18646) ([#14277](https://github.com/NousResearch/hermes-agent/pull/14277))
-- **Account limits section in `/usage`** ([#13428](https://github.com/NousResearch/hermes-agent/pull/13428))
-- **Doctor: Command Installation check** for `hermes` bin symlink ([#10112](https://github.com/NousResearch/hermes-agent/pull/10112))
-- **ESC cancels secret/sudo prompts**, clearer skip messaging ([#9902](https://github.com/NousResearch/hermes-agent/pull/9902))
-- Fix: agent-facing text uses `display_hermes_home()` instead of hardcoded `~/.hermes` ([#10285](https://github.com/NousResearch/hermes-agent/pull/10285))
-- Fix: enforce `config.yaml` as sole CWD source + deprecate `.env` CWD vars + add `hermes memory reset` ([#11029](https://github.com/NousResearch/hermes-agent/pull/11029))
-
----
-
-## 🔒 Security & Reliability
-
-- **Global toggle to allow private/internal URL resolution** ([#14166](https://github.com/NousResearch/hermes-agent/pull/14166))
-- **Block agent from self-destructing the gateway** via terminal (closes #6666) ([#9895](https://github.com/NousResearch/hermes-agent/pull/9895))
-- **Telegram callback authorization** on update prompts ([#10536](https://github.com/NousResearch/hermes-agent/pull/10536))
-- **SECURITY.md** added ([#10532](https://github.com/NousResearch/hermes-agent/pull/10532), @I3eg1nner)
-- **Warn about legacy hermes.service units** during `hermes update` ([#11918](https://github.com/NousResearch/hermes-agent/pull/11918))
-- **Complete ASCII-locale UnicodeEncodeError recovery** for `api_messages`/`reasoning_content` (closes #6843) ([#10537](https://github.com/NousResearch/hermes-agent/pull/10537))
-- **Prevent stale `os.environ` leak** after `clear_session_vars` ([#10527](https://github.com/NousResearch/hermes-agent/pull/10527))
-- **Prevent agent hang when backgrounding processes** via terminal tool ([#10584](https://github.com/NousResearch/hermes-agent/pull/10584))
-- Many smaller session-resume, interrupt, streaming, and memory-race fixes throughout the window
-
----
-
-## 🐛 Notable Bug Fixes
-
-The `fix:` category in this window covers 482 PRs. Highlights:
-
-- Streaming cursor artifacts filtered from Matrix, Telegram, WhatsApp, Discord (multiple PRs)
-- `<think>` and `<thought>` blocks filtered from gateway stream consumers ([#9408](https://github.com/NousResearch/hermes-agent/pull/9408))
-- Gateway display.streaming root-config override regression ([#9799](https://github.com/NousResearch/hermes-agent/pull/9799))
-- Context `session_search` coerces limit to int (prevents TypeError) ([#10522](https://github.com/NousResearch/hermes-agent/pull/10522))
-- Memory tool stays available when `fcntl` is unavailable (Windows) ([#9783](https://github.com/NousResearch/hermes-agent/pull/9783))
-- Trajectory compressor credentials load from `HERMES_HOME/.env` ([#9632](https://github.com/NousResearch/hermes-agent/pull/9632), @Dusk1e)
-- `@_context_completions` no longer crashes on `@` mention ([#9683](https://github.com/NousResearch/hermes-agent/pull/9683), @kshitijk4poor)
-- Group session `user_id` no longer treated as `thread_id` in shutdown notifications ([#10546](https://github.com/NousResearch/hermes-agent/pull/10546))
-- Telegram `platform_hint` — markdown is supported (closes #8261) ([#10612](https://github.com/NousResearch/hermes-agent/pull/10612))
-- Doctor checks for Kimi China credentials fixed
-- Streaming: don't suppress final response when commentary message is sent ([#10540](https://github.com/NousResearch/hermes-agent/pull/10540))
-- Rapid Telegram follow-ups no longer get cut off
-
----
-
-## 🧪 Testing & CI
-
-- **Contributor attribution CI check** on PRs ([#9376](https://github.com/NousResearch/hermes-agent/pull/9376))
-- Hermetic test parity (`scripts/run_tests.sh`) held across this window
-- Test count stabilized post-Transport refactor; CI matrix held green through the transport rollout
-
----
-
-## 📚 Documentation
-
-- Atropos + wandb links in user guide
-- ACP / VS Code / Zed / JetBrains integration docs refresh
-- Webhook subscription docs updated for direct-delivery mode
-- Plugin author guide expanded for new hooks (`register_command`, `dispatch_tool`, `transform_tool_result`)
-- Transport layer developer guide added
-- Website removed Discussions link from README
-
----
-
-## 👥 Contributors
-
-### Core
-- **@teknium1** (Teknium)
-
-### Top Community Contributors (by merged PR count)
-- **@kshitijk4poor** — 49 PRs · Transport refactor (AnthropicTransport, ResponsesApiTransport), Step Plan provider, Xiaomi MiMo v2.5 support, numerous gateway fixes, promoted Kimi K2.5, @ mention crash fix
-- **@OutThisLife** (Brooklyn) — 31 PRs · TUI polish, git branch in status bar, per-turn stopwatch, stable picker keys, `/clear` confirm, light-theme preset, subagent spawn observability overlay
-- **@helix4u** — 11 PRs · Voice CLI record beep, MCP tool interrupt handling, assorted stability fixes
-- **@austinpickett** — 8 PRs · Dashboard react-router + sidebar + sticky header + dropdown, Vercel deployment, update + restart buttons
-- **@alt-glitch** — 8 PRs · PLATFORM_HINTS for Matrix/Mattermost/Feishu, Matrix fixes
-- **@ethernet8023** — 3 PRs
-- **@benbarclay** — 3 PRs
-- **@Aslaaen** — 2 PRs
-
-### Also contributing
-@jerilynzheng (ai-gateway pricing), @JimLiu (baoyu-comic skill), @Dusk1e (trajectory compressor credentials), @DeployFaith (mobile-responsive dashboard), @LeonSGP43, @v1k22 (concept-diagrams), @omnissiah-comelse (adversarial-ux-test), @coekfung (Telegram MarkdownV2 expandable blockquotes), @liftaris (TUI provider resolution), @arihantsethia (skill analytics dashboard), @topcheer + @xing8star (QQBot foundation), @kovyrin, @I3eg1nner (SECURITY.md), @PeterBerthelsen, @lengxii, @priveperfumes, @sjz-ks, @cuyua9, @Disaster-Terminator, @leozeli, @LehaoLin, @trevthefoolish, @loongfay, @MrNiceRicee, @WideLee, @bluefishs, @malaiwah, @bobashopcashier, @dsocolobsky, @iamagenius00, @IAvecilla, @aniruddhaadak80, @Es1la, @asheriif, @walli, @jquesnelle (original Tool Gateway work).
-
-### All Contributors (alphabetical)
-
-@0xyg3n, @10ishq, @A-afflatus, @Abnertheforeman, @admin28980, @adybag14-cyber, @akhater, @alexzhu0,
-@AllardQuek, @alt-glitch, @aniruddhaadak80, @anna-oake, @anniesurla, @anthhub, @areu01or00, @arihantsethia,
-@arthurbr11, @asheriif, @Aslaaen, @Asunfly, @austinpickett, @AviArora02-commits, @AxDSan, @azhengbot, @Bartok9,
-@benbarclay, @bennytimz, @bernylinville, @bingo906, @binhnt92, @bkadish, @bluefishs, @bobashopcashier,
-@brantzh6, @BrennerSpear, @brianclemens, @briandevans, @brooklynnicholson, @bugkill3r, @buray, @burtenshaw,
-@cdanis, @cgarwood82, @ChimingLiu, @chongweiliu, @christopherwoodall, @coekfung, @cola-runner, @corazzione,
-@counterposition, @cresslank, @cuyua9, @cypres0099, @danieldoderlein, @davetist, @davidvv, @DeployFaith,
-@Dev-Mriganka, @devorun, @dieutx, @Disaster-Terminator, @dodo-reach, @draix, @DrStrangerUJN, @dsocolobsky,
-@Dusk1e, @dyxushuai, @elkimek, @elmatadorgh, @emozilla, @entropidelic, @Erosika, @erosika, @Es1la, @etcircle,
-@etherman-os, @ethernet8023, @fancydirty, @farion1231, @fatinghenji, @Fatty911, @fengtianyu88, @Feranmi10,
-@flobo3, @francip, @fuleinist, @g-guthrie, @GenKoKo, @gianfrancopiana, @gnanam1990, @GuyCui, @haileymarshall,
-@haimu0x, @handsdiff, @hansnow, @hedgeho9X, @helix4u, @hengm3467, @HenkDz, @heykb, @hharry11, @HiddenPuppy,
-@honghua, @houko, @houziershi, @hsy5571616, @huangke19, @hxp-plus, @Hypn0sis, @I3eg1nner, @iacker,
-@iamagenius00, @IAvecilla, @iborazzi, @Ifkellx, @ifrederico, @imink, @isaachuangGMICLOUD, @ismell0992-afk,
-@j0sephz, @Jaaneek, @jackjin1997, @JackTheGit, @jaffarkeikei, @jerilynzheng, @JiaDe-Wu, @Jiawen-lee, @JimLiu,
-@jinzheng8115, @jneeee, @jplew, @jquesnelle, @Julientalbot, @Junass1, @jvcl, @kagura-agent, @keifergu,
-@kevinskysunny, @keyuyuan, @konsisumer, @kovyrin, @kshitijk4poor, @leeyang1990, @LehaoLin, @lengxii,
-@LeonSGP43, @leozeli, @li0near, @liftaris, @Lind3ey, @Linux2010, @liujinkun2025, @LLQWQ, @Llugaes, @lmoncany,
-@longsizhuo, @lrawnsley, @Lubrsy706, @lumenradley, @luyao618, @lvnilesh, @LVT382009, @m0n5t3r, @Magaav,
-@MagicRay1217, @malaiwah, @manuelschipper, @Marvae, @MassiveMassimo, @mavrickdeveloper, @maxchernin, @memosr,
-@meng93, @mengjian-github, @MestreY0d4-Uninter, @Mibayy, @MikeFac, @mikewaters, @milkoor, @minorgod,
-@MrNiceRicee, @ms-alan, @mvanhorn, @n-WN, @N0nb0at, @Nan93, @NIDNASSER-Abdelmajid, @nish3451, @niyoh120,
-@nocoo, @nosleepcassette, @NousResearch, @ogzerber, @omnissiah-comelse, @Only-Code-A, @opriz, @OwenYWT, @pedh,
-@pefontana, @PeterBerthelsen, @phpoh, @pinion05, @plgonzalezrx8, @pradeep7127, @priveperfumes,
-@projectadmin-dev, @PStarH, @rnijhara, @Roy-oss1, @roytian1217, @RucchiZ, @Ruzzgar, @RyanLee-Dev, @Salt-555,
-@Sanjays2402, @sgaofen, @sharziki, @shenuu, @shin4, @SHL0MS, @shushuzn, @sicnuyudidi, @simon-gtcl,
-@simon-marcus, @sirEven, @Sisyphus, @sjz-ks, @snreynolds, @Societus, @Somme4096, @sontianye, @sprmn24,
-@StefanIsMe, @stephenschoettler, @Swift42, @taeng0204, @taeuk178, @tannerfokkens-maker, @TaroballzChen,
-@ten-ltw, @teyrebaz33, @Tianworld, @topcheer, @Tranquil-Flow, @trevthefoolish, @TroyMitchell911, @UNLINEARITY,
-@v1k22, @vivganes, @vominh1919, @vrinek, @VTRiot, @WadydX, @walli, @wenhao7, @WhiteWorld, @WideLee, @wujhsu,
-@WuTianyi123, @Wysie, @xandersbell, @xiaoqiang243, @xiayh0107, @xinpengdr, @Xowiek, @ycbai, @yeyitech, @ygd58,
-@youngDoo, @yudaiyan, @Yukipukii1, @yule975, @yyq4193, @yzx9, @ZaynJarvis, @zhang9w0v5, @zhanggttry,
-@zhangxicen, @zhongyueming1121, @zhouxiaoya12, @zons-zhaozhy
-
-Also: @maelrx, @Marco Rutsch, @MaxsolcuCrypto, @Mind-Dragon, @Paul Bergeron, @say8hi, @whitehatjr1001.
-
-
----
-
-**Full Changelog**: [v2026.4.13...v2026.4.23](https://github.com/NousResearch/hermes-agent/compare/v2026.4.13...v2026.4.23)

acp_adapter/server.py

@@ -60,7 +60,7 @@ from acp_adapter.events import (
     make_tool_progress_cb,
 )
 from acp_adapter.permissions import make_approval_callback
-from acp_adapter.session import SessionManager, SessionState, _expand_acp_enabled_toolsets
+from acp_adapter.session import SessionManager, SessionState
 
 logger = logging.getLogger(__name__)
 
@@ -287,11 +287,7 @@ class HermesACPAgent(acp.Agent):
         try:
             from model_tools import get_tool_definitions
 
-            enabled_toolsets = _expand_acp_enabled_toolsets(
-                getattr(state.agent, "enabled_toolsets", None) or ["hermes-acp"],
-                mcp_server_names=[server.name for server in mcp_servers],
-            )
-            state.agent.enabled_toolsets = enabled_toolsets
+            enabled_toolsets = getattr(state.agent, "enabled_toolsets", None) or ["hermes-acp"]
             disabled_toolsets = getattr(state.agent, "disabled_toolsets", None)
             state.agent.tools = get_tool_definitions(
                 enabled_toolsets=enabled_toolsets,
@@ -758,9 +754,7 @@ class HermesACPAgent(acp.Agent):
     def _cmd_tools(self, args: str, state: SessionState) -> str:
         try:
             from model_tools import get_tool_definitions
-            toolsets = _expand_acp_enabled_toolsets(
-                getattr(state.agent, "enabled_toolsets", None) or ["hermes-acp"]
-            )
+            toolsets = getattr(state.agent, "enabled_toolsets", None) or ["hermes-acp"]
             tools = get_tool_definitions(enabled_toolsets=toolsets, quiet_mode=True)
             if not tools:
                 return "No tools available."

acp_adapter/session.py

@@ -106,24 +106,6 @@ def _register_task_cwd(task_id: str, cwd: str) -> None:
         logger.debug("Failed to register ACP task cwd override", exc_info=True)
 
 
-def _expand_acp_enabled_toolsets(
-    toolsets: List[str] | None = None,
-    mcp_server_names: List[str] | None = None,
-) -> List[str]:
-    """Return ACP toolsets plus explicit MCP server toolsets for this session."""
-    expanded: List[str] = []
-    for name in list(toolsets or ["hermes-acp"]):
-        if name and name not in expanded:
-            expanded.append(name)
-
-    for server_name in list(mcp_server_names or []):
-        toolset_name = f"mcp-{server_name}"
-        if server_name and toolset_name not in expanded:
-            expanded.append(toolset_name)
-
-    return expanded
-
-
 def _clear_task_cwd(task_id: str) -> None:
     """Remove task-specific cwd overrides for an ACP session."""
     if not task_id:
@@ -555,18 +537,9 @@ class SessionManager:
         elif isinstance(model_cfg, str) and model_cfg.strip():
             default_model = model_cfg.strip()
 
-        configured_mcp_servers = [
-            name
-            for name, cfg in (config.get("mcp_servers") or {}).items()
-            if not isinstance(cfg, dict) or cfg.get("enabled", True) is not False
-        ]
-
         kwargs = {
             "platform": "acp",
-            "enabled_toolsets": _expand_acp_enabled_toolsets(
-                ["hermes-acp"],
-                mcp_server_names=configured_mcp_servers,
-            ),
+            "enabled_toolsets": ["hermes-acp"],
             "quiet_mode": True,
             "session_id": session_id,
             "model": model or default_model,

agent/anthropic_adapter.py

@@ -14,11 +14,10 @@ import copy
 import json
 import logging
 import os
-import platform
-import subprocess
 from pathlib import Path
 
 from hermes_constants import get_hermes_home
+from types import SimpleNamespace
 from typing import Any, Dict, List, Optional, Tuple
 from utils import normalize_proxy_env_vars
 
@@ -118,63 +117,6 @@ def _get_anthropic_max_output(model: str) -> int:
     return best_val
 
 
-def _resolve_positive_anthropic_max_tokens(value) -> Optional[int]:
-    """Return ``value`` floored to a positive int, or ``None`` if it is not a
-    finite positive number. Ported from openclaw/openclaw#66664.
-
-    Anthropic's Messages API rejects ``max_tokens`` values that are 0,
-    negative, non-integer, or non-finite with HTTP 400. Python's ``or``
-    idiom (``max_tokens or fallback``) correctly catches ``0`` but lets
-    negative ints and fractional floats (``-1``, ``0.5``) through to the
-    API, producing a user-visible failure instead of a local error.
-    """
-    # Booleans are a subclass of int — exclude explicitly so ``True`` doesn't
-    # silently become 1 and ``False`` doesn't become 0.
-    if isinstance(value, bool):
-        return None
-    if not isinstance(value, (int, float)):
-        return None
-    try:
-        import math
-        if not math.isfinite(value):
-            return None
-    except Exception:
-        return None
-    floored = int(value)  # truncates toward zero for floats
-    return floored if floored > 0 else None
-
-
-def _resolve_anthropic_messages_max_tokens(
-    requested,
-    model: str,
-    context_length: Optional[int] = None,
-) -> int:
-    """Resolve the ``max_tokens`` budget for an Anthropic Messages call.
-
-    Prefers ``requested`` when it is a positive finite number; otherwise
-    falls back to the model's output ceiling. Raises ``ValueError`` if no
-    positive budget can be resolved (should not happen with current model
-    table defaults, but guards against a future regression where
-    ``_get_anthropic_max_output`` could return ``0``).
-
-    Separately, callers apply a context-window clamp — this resolver does
-    not, to keep the positive-value contract independent of endpoint
-    specifics.
-
-    Ported from openclaw/openclaw#66664 (resolveAnthropicMessagesMaxTokens).
-    """
-    resolved = _resolve_positive_anthropic_max_tokens(requested)
-    if resolved is not None:
-        return resolved
-    fallback = _get_anthropic_max_output(model)
-    if fallback > 0:
-        return fallback
-    raise ValueError(
-        f"Anthropic Messages adapter requires a positive max_tokens value for "
-        f"model {model!r}; got {requested!r} and no model default resolved."
-    )
-
-
 def _supports_adaptive_thinking(model: str) -> bool:
     """Return True for Claude 4.6+ models that support adaptive thinking."""
     return any(v in model for v in _ADAPTIVE_THINKING_SUBSTRINGS)
@@ -279,9 +221,8 @@ def _is_oauth_token(key: str) -> bool:
     Positively identifies Anthropic OAuth tokens by their key format:
     - ``sk-ant-`` prefix (but NOT ``sk-ant-api``) → setup tokens, managed keys
     - ``eyJ`` prefix → JWTs from the Anthropic OAuth flow
-    - ``cc-`` prefix → Claude Code OAuth access tokens (from CLAUDE_CODE_OAUTH_TOKEN)
 
-    Non-Anthropic keys (MiniMax, Alibaba, etc.) don't match any pattern
+    Non-Anthropic keys (MiniMax, Alibaba, etc.) don't match either pattern
     and correctly return False.
     """
     if not key:
@@ -295,9 +236,6 @@ def _is_oauth_token(key: str) -> bool:
     # JWTs from Anthropic OAuth flow
     if key.startswith("eyJ"):
         return True
-    # Claude Code OAuth access tokens (opaque, from CLAUDE_CODE_OAUTH_TOKEN)
-    if key.startswith("cc-"):
-        return True
     return False
 
 
@@ -328,14 +266,6 @@ def _is_third_party_anthropic_endpoint(base_url: str | None) -> bool:
     return True  # Any other endpoint is a third-party proxy
 
 
-def _is_kimi_coding_endpoint(base_url: str | None) -> bool:
-    """Return True for Kimi's /coding endpoint that requires claude-code UA."""
-    normalized = _normalize_base_url_text(base_url)
-    if not normalized:
-        return False
-    return normalized.rstrip("/").lower().startswith("https://api.kimi.com/coding")
-
-
 def _requires_bearer_auth(base_url: str | None) -> bool:
     """Return True for Anthropic-compatible providers that require Bearer auth.
 
@@ -390,30 +320,12 @@ def build_anthropic_client(api_key: str, base_url: str = None, timeout: float =
         "timeout": Timeout(timeout=float(_read_timeout), connect=10.0),
     }
     if normalized_base_url:
-        # Azure Anthropic endpoints require an ``api-version`` query parameter.
-        # Pass it via default_query so the SDK appends it to every request URL
-        # without corrupting the base_url (appending it directly produces
-        # malformed paths like /anthropic?api-version=.../v1/messages).
-        _is_azure_endpoint = "azure.com" in normalized_base_url.lower()
-        if _is_azure_endpoint and "api-version" not in normalized_base_url:
-            kwargs["base_url"] = normalized_base_url.rstrip("/")
-            kwargs["default_query"] = {"api-version": "2025-04-15"}
-        else:
-            kwargs["base_url"] = normalized_base_url
+        kwargs["base_url"] = normalized_base_url
     common_betas = _common_betas_for_base_url(normalized_base_url)
 
-    if _is_kimi_coding_endpoint(base_url):
-        # Kimi's /coding endpoint requires User-Agent: claude-code/0.1.0
-        # to be recognized as a valid Coding Agent. Without it, returns 403.
-        # Check this BEFORE _requires_bearer_auth since both match api.kimi.com/coding.
-        kwargs["api_key"] = api_key
-        kwargs["default_headers"] = {
-            "User-Agent": "claude-code/0.1.0",
-            **( {"anthropic-beta": ",".join(common_betas)} if common_betas else {} )
-        }
-    elif _requires_bearer_auth(normalized_base_url):
+    if _requires_bearer_auth(normalized_base_url):
         # Some Anthropic-compatible providers (e.g. MiniMax) expect the API key in
-        # Authorization: Bearer *** for regular API keys. Route those endpoints
+        # Authorization: Bearer even for regular API keys. Route those endpoints
         # through auth_token so the SDK sends Bearer auth instead of x-api-key.
         # Check this before OAuth token shape detection because MiniMax secrets do
         # not use Anthropic's sk-ant-api prefix and would otherwise be misread as
@@ -476,72 +388,8 @@ def build_anthropic_bedrock_client(region: str):
     )
 
 
-def _read_claude_code_credentials_from_keychain() -> Optional[Dict[str, Any]]:
-    """Read Claude Code OAuth credentials from the macOS Keychain.
-
-    Claude Code >=2.1.114 stores credentials in the macOS Keychain under the
-    service name "Claude Code-credentials" rather than (or in addition to)
-    the JSON file at ~/.claude/.credentials.json.
-
-    The password field contains a JSON string with the same claudeAiOauth
-    structure as the JSON file.
-
-    Returns dict with {accessToken, refreshToken?, expiresAt?} or None.
-    """
-    import platform
-    import subprocess
-
-    if platform.system() != "Darwin":
-        return None
-
-    try:
-        # Read the "Claude Code-credentials" generic password entry
-        result = subprocess.run(
-            ["security", "find-generic-password",
-             "-s", "Claude Code-credentials",
-             "-w"],
-            capture_output=True,
-            text=True,
-            timeout=5,
-        )
-    except (OSError, subprocess.TimeoutExpired):
-        logger.debug("Keychain: security command not available or timed out")
-        return None
-
-    if result.returncode != 0:
-        logger.debug("Keychain: no entry found for 'Claude Code-credentials'")
-        return None
-
-    raw = result.stdout.strip()
-    if not raw:
-        return None
-
-    try:
-        data = json.loads(raw)
-    except json.JSONDecodeError:
-        logger.debug("Keychain: credentials payload is not valid JSON")
-        return None
-
-    oauth_data = data.get("claudeAiOauth")
-    if oauth_data and isinstance(oauth_data, dict):
-        access_token = oauth_data.get("accessToken", "")
-        if access_token:
-            return {
-                "accessToken": access_token,
-                "refreshToken": oauth_data.get("refreshToken", ""),
-                "expiresAt": oauth_data.get("expiresAt", 0),
-                "source": "macos_keychain",
-            }
-
-    return None
-
-
 def read_claude_code_credentials() -> Optional[Dict[str, Any]]:
-    """Read refreshable Claude Code OAuth credentials.
-
-    Checks two sources in order:
-      1. macOS Keychain (Darwin only) — "Claude Code-credentials" entry
-      2. ~/.claude/.credentials.json file
+    """Read refreshable Claude Code OAuth credentials from ~/.claude/.credentials.json.
 
     This intentionally excludes ~/.claude.json primaryApiKey. Opencode's
     subscription flow is OAuth/setup-token based with refreshable credentials,
@@ -550,12 +398,6 @@ def read_claude_code_credentials() -> Optional[Dict[str, Any]]:
 
     Returns dict with {accessToken, refreshToken?, expiresAt?} or None.
     """
-    # Try macOS Keychain first (covers Claude Code >=2.1.114)
-    kc_creds = _read_claude_code_credentials_from_keychain()
-    if kc_creds:
-        return kc_creds
-
-    # Fall back to JSON file
     cred_path = Path.home() / ".claude" / ".credentials.json"
     if cred_path.exists():
         try:
@@ -726,9 +568,7 @@ def _write_claude_code_credentials(
         existing["claudeAiOauth"] = oauth_data
 
         cred_path.parent.mkdir(parents=True, exist_ok=True)
-        _tmp_cred = cred_path.with_suffix(".tmp")
-        _tmp_cred.write_text(json.dumps(existing, indent=2), encoding="utf-8")
-        _tmp_cred.replace(cred_path)
+        cred_path.write_text(json.dumps(existing, indent=2), encoding="utf-8")
         # Restrict permissions (credentials file)
         cred_path.chmod(0o600)
     except (OSError, IOError) as e:
@@ -995,26 +835,6 @@ def read_hermes_oauth_credentials() -> Optional[Dict[str, Any]]:
 # ---------------------------------------------------------------------------
 
 
-def _is_bedrock_model_id(model: str) -> bool:
-    """Detect AWS Bedrock model IDs that use dots as namespace separators.
-
-    Bedrock model IDs come in two forms:
-    - Bare:    ``anthropic.claude-opus-4-7``
-    - Regional (inference profiles): ``us.anthropic.claude-sonnet-4-5-v1:0``
-
-    In both cases the dots separate namespace components, not version
-    numbers, and must be preserved verbatim for the Bedrock API.
-    """
-    lower = model.lower()
-    # Regional inference-profile prefixes
-    if any(lower.startswith(p) for p in ("global.", "us.", "eu.", "ap.", "jp.")):
-        return True
-    # Bare Bedrock model IDs: provider.model-family
-    if lower.startswith("anthropic."):
-        return True
-    return False
-
-
 def normalize_model_name(model: str, preserve_dots: bool = False) -> str:
     """Normalize a model name for the Anthropic API.
 
@@ -1022,19 +842,11 @@ def normalize_model_name(model: str, preserve_dots: bool = False) -> str:
     - Converts dots to hyphens in version numbers (OpenRouter uses dots,
       Anthropic uses hyphens: claude-opus-4.6 → claude-opus-4-6), unless
       preserve_dots is True (e.g. for Alibaba/DashScope: qwen3.5-plus).
-    - Preserves Bedrock model IDs (``anthropic.claude-opus-4-7``) and
-      regional inference profiles (``us.anthropic.claude-*``) whose dots
-      are namespace separators, not version separators.
     """
     lower = model.lower()
     if lower.startswith("anthropic/"):
         model = model[len("anthropic/"):]
     if not preserve_dots:
-        # Bedrock model IDs use dots as namespace separators
-        # (e.g. "anthropic.claude-opus-4-7", "us.anthropic.claude-*").
-        # These must not be converted to hyphens.  See issue #12295.
-        if _is_bedrock_model_id(model):
-            return model
         # OpenRouter uses dots for version separators (claude-opus-4.6),
         # Anthropic uses hyphens (claude-opus-4-6). Convert dots to hyphens.
         model = model.replace(".", "-")
@@ -1254,31 +1066,6 @@ def convert_messages_to_anthropic(
                     "name": fn.get("name", ""),
                     "input": parsed_args,
                 })
-            # Kimi's /coding endpoint (Anthropic protocol) requires assistant
-            # tool-call messages to carry reasoning_content when thinking is
-            # enabled server-side.  Preserve it as a thinking block so Kimi
-            # can validate the message history.  See hermes-agent#13848.
-            #
-            # Accept empty string "" — _copy_reasoning_content_for_api()
-            # injects "" as a tier-3 fallback for Kimi tool-call messages
-            # that had no reasoning.  Kimi requires the field to exist, even
-            # if empty.
-            #
-            # Prepend (not append): Anthropic protocol requires thinking
-            # blocks before text and tool_use blocks.
-            #
-            # Guard: only add when reasoning_details didn't already contribute
-            # thinking blocks.  On native Anthropic, reasoning_details produces
-            # signed thinking blocks — adding another unsigned one from
-            # reasoning_content would create a duplicate (same text) that gets
-            # downgraded to a spurious text block on the last assistant message.
-            reasoning_content = m.get("reasoning_content")
-            _already_has_thinking = any(
-                isinstance(b, dict) and b.get("type") in ("thinking", "redacted_thinking")
-                for b in blocks
-            )
-            if isinstance(reasoning_content, str) and not _already_has_thinking:
-                blocks.insert(0, {"type": "thinking", "thinking": reasoning_content})
             # Anthropic rejects empty assistant content
             effective = blocks or content
             if not effective or effective == "":
@@ -1434,7 +1221,6 @@ def convert_messages_to_anthropic(
     #    cache markers can interfere with signature validation.
     _THINKING_TYPES = frozenset(("thinking", "redacted_thinking"))
     _is_third_party = _is_third_party_anthropic_endpoint(base_url)
-    _is_kimi = _is_kimi_coding_endpoint(base_url)
 
     last_assistant_idx = None
     for i in range(len(result) - 1, -1, -1):
@@ -1446,25 +1232,7 @@ def convert_messages_to_anthropic(
         if m.get("role") != "assistant" or not isinstance(m.get("content"), list):
             continue
 
-        if _is_kimi:
-            # Kimi's /coding endpoint enables thinking server-side and
-            # requires unsigned thinking blocks on replayed assistant
-            # tool-call messages.  Strip signed Anthropic blocks (Kimi
-            # can't validate signatures) but preserve the unsigned ones
-            # we synthesised from reasoning_content above.
-            new_content = []
-            for b in m["content"]:
-                if not isinstance(b, dict) or b.get("type") not in _THINKING_TYPES:
-                    new_content.append(b)
-                    continue
-                if b.get("signature") or b.get("data"):
-                    # Anthropic-signed block — Kimi can't validate, strip
-                    continue
-                # Unsigned thinking (synthesised from reasoning_content) —
-                # keep it: Kimi needs it for message-history validation.
-                new_content.append(b)
-            m["content"] = new_content or [{"type": "text", "text": "(empty)"}]
-        elif _is_third_party or idx != last_assistant_idx:
+        if _is_third_party or idx != last_assistant_idx:
             # Third-party endpoint: strip ALL thinking blocks from every
             # assistant message — signatures are Anthropic-proprietary.
             # Direct Anthropic: strip from non-latest assistant messages only.
@@ -1562,12 +1330,7 @@ def build_anthropic_kwargs(
 
     model = normalize_model_name(model, preserve_dots=preserve_dots)
     # effective_max_tokens = output cap for this call (≠ total context window)
-    # Use the resolver helper so non-positive values (negative ints,
-    # fractional floats, NaN, non-numeric) fail locally with a clear error
-    # rather than 400-ing at the Anthropic API. See openclaw/openclaw#66664.
-    effective_max_tokens = _resolve_anthropic_messages_max_tokens(
-        max_tokens, model, context_length=context_length
-    )
+    effective_max_tokens = max_tokens or _get_anthropic_max_output(model)
 
     # Clamp output cap to fit inside the total context window.
     # Only matters for small custom endpoints where context_length < native
@@ -1646,25 +1409,11 @@ def build_anthropic_kwargs(
     # MiniMax Anthropic-compat endpoints support thinking (manual mode only,
     # not adaptive).  Haiku does NOT support extended thinking — skip entirely.
     #
-    # Kimi's /coding endpoint speaks the Anthropic Messages protocol but has
-    # its own thinking semantics: when ``thinking.enabled`` is sent, Kimi
-    # validates the message history and requires every prior assistant
-    # tool-call message to carry OpenAI-style ``reasoning_content``.  The
-    # Anthropic path never populates that field, and
-    # ``convert_messages_to_anthropic`` strips all Anthropic thinking blocks
-    # on third-party endpoints — so the request fails with HTTP 400
-    # "thinking is enabled but reasoning_content is missing in assistant
-    # tool call message at index N".  Kimi's reasoning is driven server-side
-    # on the /coding route, so skip Anthropic's thinking parameter entirely
-    # for that host.  (Kimi on chat_completions enables thinking via
-    # extra_body in the ChatCompletionsTransport — see #13503.)
-    #
     # On 4.7+ the `thinking.display` field defaults to "omitted", which
     # silently hides reasoning text that Hermes surfaces in its CLI. We
     # request "summarized" so the reasoning blocks stay populated — matching
     # 4.6 behavior and preserving the activity-feed UX during long tool runs.
-    _is_kimi_coding = _is_kimi_coding_endpoint(base_url)
-    if reasoning_config and isinstance(reasoning_config, dict) and not _is_kimi_coding:
+    if reasoning_config and isinstance(reasoning_config, dict):
         if reasoning_config.get("enabled") is not False and "haiku" not in model.lower():
             effort = str(reasoning_config.get("effort", "medium")).lower()
             budget = THINKING_BUDGET.get(effort, 8000)
@@ -1689,9 +1438,9 @@ def build_anthropic_kwargs(
 
     # ── Strip sampling params on 4.7+ ─────────────────────────────────
     # Opus 4.7 rejects any non-default temperature/top_p/top_k with a 400.
-    # Callers (auxiliary_client, etc.) may set these for older models;
-    # drop them here as a safety net so upstream 4.6 → 4.7 migrations
-    # don't require coordinated edits everywhere.
+    # Callers (auxiliary_client, flush_memories, etc.) may set these for
+    # older models; drop them here as a safety net so upstream 4.6 → 4.7
+    # migrations don't require coordinated edits everywhere.
     if _forbids_sampling_params(model):
         for _sampling_key in ("temperature", "top_p", "top_k"):
             kwargs.pop(_sampling_key, None)
@@ -1713,3 +1462,109 @@ def build_anthropic_kwargs(
     return kwargs
 
 
+def normalize_anthropic_response(
+    response,
+    strip_tool_prefix: bool = False,
+) -> Tuple[SimpleNamespace, str]:
+    """Normalize Anthropic response to match the shape expected by AIAgent.
+
+    Returns (assistant_message, finish_reason) where assistant_message has
+    .content, .tool_calls, and .reasoning attributes.
+
+    When *strip_tool_prefix* is True, removes the ``mcp_`` prefix that was
+    added to tool names for OAuth Claude Code compatibility.
+    """
+    text_parts = []
+    reasoning_parts = []
+    reasoning_details = []
+    tool_calls = []
+
+    for block in response.content:
+        if block.type == "text":
+            text_parts.append(block.text)
+        elif block.type == "thinking":
+            reasoning_parts.append(block.thinking)
+            block_dict = _to_plain_data(block)
+            if isinstance(block_dict, dict):
+                reasoning_details.append(block_dict)
+        elif block.type == "tool_use":
+            name = block.name
+            if strip_tool_prefix and name.startswith(_MCP_TOOL_PREFIX):
+                name = name[len(_MCP_TOOL_PREFIX):]
+            tool_calls.append(
+                SimpleNamespace(
+                    id=block.id,
+                    type="function",
+                    function=SimpleNamespace(
+                        name=name,
+                        arguments=json.dumps(block.input),
+                    ),
+                )
+            )
+
+    # Map Anthropic stop_reason to OpenAI finish_reason.
+    # Newer stop reasons added in Claude 4.5+ / 4.7:
+    #   - refusal: the model declined to answer (cyber safeguards, CSAM, etc.)
+    #   - model_context_window_exceeded: hit context limit (not max_tokens)
+    # Both need distinct handling upstream — a refusal should surface to the
+    # user with a clear message, and a context-window overflow should trigger
+    # compression/truncation rather than be treated as normal end-of-turn.
+    stop_reason_map = {
+        "end_turn": "stop",
+        "tool_use": "tool_calls",
+        "max_tokens": "length",
+        "stop_sequence": "stop",
+        "refusal": "content_filter",
+        "model_context_window_exceeded": "length",
+    }
+    finish_reason = stop_reason_map.get(response.stop_reason, "stop")
+
+    return (
+        SimpleNamespace(
+            content="\n".join(text_parts) if text_parts else None,
+            tool_calls=tool_calls or None,
+            reasoning="\n\n".join(reasoning_parts) if reasoning_parts else None,
+            reasoning_content=None,
+            reasoning_details=reasoning_details or None,
+        ),
+        finish_reason,
+    )
+
+
+def normalize_anthropic_response_v2(
+    response,
+    strip_tool_prefix: bool = False,
+) -> "NormalizedResponse":
+    """Normalize Anthropic response to NormalizedResponse.
+
+    Wraps the existing normalize_anthropic_response() and maps its output
+    to the shared transport types.  This allows incremental migration —
+    one call site at a time — without changing the original function.
+    """
+    from agent.transports.types import NormalizedResponse, build_tool_call
+
+    assistant_msg, finish_reason = normalize_anthropic_response(response, strip_tool_prefix)
+
+    tool_calls = None
+    if assistant_msg.tool_calls:
+        tool_calls = [
+            build_tool_call(
+                id=tc.id,
+                name=tc.function.name,
+                arguments=tc.function.arguments,
+            )
+            for tc in assistant_msg.tool_calls
+        ]
+
+    provider_data = {}
+    if getattr(assistant_msg, "reasoning_details", None):
+        provider_data["reasoning_details"] = assistant_msg.reasoning_details
+
+    return NormalizedResponse(
+        content=assistant_msg.content,
+        tool_calls=tool_calls,
+        finish_reason=finish_reason,
+        reasoning=getattr(assistant_msg, "reasoning", None),
+        usage=None,  # Anthropic usage is on the raw response, not the normaliser
+        provider_data=provider_data or None,
+    )

agent/auxiliary_client.py

@@ -42,7 +42,6 @@ import time
 from pathlib import Path  # noqa: F401 — used by test mocks
 from types import SimpleNamespace
 from typing import Any, Dict, List, Optional, Tuple
-from urllib.parse import urlparse, parse_qs, urlunparse
 
 from openai import OpenAI
 
@@ -53,17 +52,6 @@ from utils import base_url_host_matches, base_url_hostname, normalize_proxy_env_
 
 logger = logging.getLogger(__name__)
 
-
-def _extract_url_query_params(url: str):
-    """Extract query params from URL, return (clean_url, default_query dict or None)."""
-    parsed = urlparse(url)
-    if parsed.query:
-        clean = urlunparse(parsed._replace(query=""))
-        params = {k: v[0] for k, v in parse_qs(parsed.query).items()}
-        return clean, params
-    return url, None
-
-
 # Module-level flag: only warn once per process about stale OPENAI_BASE_URL.
 _stale_base_url_warned = False
 
@@ -86,12 +74,6 @@ _PROVIDER_ALIASES = {
     "minimax_cn": "minimax-cn",
     "claude": "anthropic",
     "claude-code": "anthropic",
-    "github": "copilot",
-    "github-copilot": "copilot",
-    "github-model": "copilot",
-    "github-models": "copilot",
-    "github-copilot-acp": "copilot-acp",
-    "copilot-acp-agent": "copilot-acp",
 }
 
 
@@ -107,11 +89,10 @@ def _normalize_aux_provider(provider: Optional[str]) -> str:
     if normalized == "main":
         # Resolve to the user's actual main provider so named custom providers
         # and non-aggregator providers (DeepSeek, Alibaba, etc.) work correctly.
-        main_prov = (_read_main_provider() or "").strip().lower()
+        main_prov = _read_main_provider()
         if main_prov and main_prov not in ("auto", "main", ""):
-            normalized = main_prov
-        else:
-            return "custom"
+            return main_prov
+        return "custom"
     return _PROVIDER_ALIASES.get(normalized, normalized)
 
 
@@ -153,7 +134,6 @@ _API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
     "gemini": "gemini-3-flash-preview",
     "zai": "glm-4.5-flash",
     "kimi-coding": "kimi-k2-turbo-preview",
-    "stepfun": "step-3.5-flash",
     "kimi-coding-cn": "kimi-k2-turbo-preview",
     "minimax": "MiniMax-M2.7",
     "minimax-cn": "MiniMax-M2.7",
@@ -170,7 +150,7 @@ _API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
 # differs from their main chat model, map it here.  The vision auto-detect
 # "exotic provider" branch checks this before falling back to the main model.
 _PROVIDER_VISION_MODELS: Dict[str, str] = {
-    "xiaomi": "mimo-v2.5",
+    "xiaomi": "mimo-v2-omni",
     "zai": "glm-5v-turbo",
 }
 
@@ -202,6 +182,8 @@ auxiliary_is_nous: bool = False
 # Default auxiliary models per provider
 _OPENROUTER_MODEL = "google/gemini-3-flash-preview"
 _NOUS_MODEL = "google/gemini-3-flash-preview"
+_NOUS_FREE_TIER_VISION_MODEL = "xiaomi/mimo-v2-omni"
+_NOUS_FREE_TIER_AUX_MODEL = "xiaomi/mimo-v2-pro"
 _NOUS_DEFAULT_BASE_URL = "https://inference-api.nousresearch.com/v1"
 _ANTHROPIC_DEFAULT_BASE_URL = "https://api.anthropic.com"
 _AUTH_JSON_PATH = get_hermes_home() / "auth.json"
@@ -402,7 +384,7 @@ class _CodexCompletionsAdapter:
         # Note: the Codex endpoint (chatgpt.com/backend-api/codex) does NOT
         # support max_output_tokens or temperature — omit to avoid 400 errors.
 
-        # Tools support for auxiliary callers (e.g. skills_hub) that pass function schemas
+        # Tools support for flush_memories and similar callers
         tools = kwargs.get("tools")
         if tools:
             converted = []
@@ -592,8 +574,7 @@ class _AnthropicCompletionsAdapter:
         self._is_oauth = is_oauth
 
     def create(self, **kwargs) -> Any:
-        from agent.anthropic_adapter import build_anthropic_kwargs
-        from agent.transports import get_transport
+        from agent.anthropic_adapter import build_anthropic_kwargs, normalize_anthropic_response
 
         messages = kwargs.get("messages", [])
         model = kwargs.get("model", self._model)
@@ -630,19 +611,7 @@ class _AnthropicCompletionsAdapter:
                 anthropic_kwargs["temperature"] = temperature
 
         response = self._client.messages.create(**anthropic_kwargs)
-        _transport = get_transport("anthropic_messages")
-        _nr = _transport.normalize_response(
-            response, strip_tool_prefix=self._is_oauth
-        )
-
-        # ToolCall already duck-types as OpenAI shape (.type, .function.name,
-        # .function.arguments) via properties, so no wrapping needed.
-        assistant_message = SimpleNamespace(
-            content=_nr.content,
-            tool_calls=_nr.tool_calls,
-            reasoning=_nr.reasoning,
-        )
-        finish_reason = _nr.finish_reason
+        assistant_message, finish_reason = normalize_anthropic_response(response)
 
         usage = None
         if hasattr(response, "usage") and response.usage:
@@ -759,33 +728,6 @@ def _nous_base_url() -> str:
     return os.getenv("NOUS_INFERENCE_BASE_URL", _NOUS_DEFAULT_BASE_URL)
 
 
-def _resolve_nous_runtime_api(*, force_refresh: bool = False) -> Optional[tuple[str, str]]:
-    """Return fresh Nous runtime credentials when available.
-
-    This mirrors the main agent's 401 recovery path and keeps auxiliary
-    clients aligned with the singleton auth store + mint flow instead of
-    relying only on whatever raw tokens happen to be sitting in auth.json
-    or the credential pool.
-    """
-    try:
-        from hermes_cli.auth import resolve_nous_runtime_credentials
-
-        creds = resolve_nous_runtime_credentials(
-            min_key_ttl_seconds=max(60, int(os.getenv("HERMES_NOUS_MIN_KEY_TTL_SECONDS", "1800"))),
-            timeout_seconds=float(os.getenv("HERMES_NOUS_TIMEOUT_SECONDS", "15")),
-            force_mint=force_refresh,
-        )
-    except Exception as exc:
-        logger.debug("Auxiliary Nous runtime credential resolution failed: %s", exc)
-        return None
-
-    api_key = str(creds.get("api_key") or "").strip()
-    base_url = str(creds.get("base_url") or "").strip().rstrip("/")
-    if not api_key or not base_url:
-        return None
-    return api_key, base_url
-
-
 def _read_codex_access_token() -> Optional[str]:
     """Read a valid, non-expired Codex OAuth access token from Hermes auth store.
 
@@ -876,7 +818,7 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
                     return GeminiNativeClient(api_key=api_key, base_url=base_url), model
             extra = {}
             if base_url_host_matches(base_url, "api.kimi.com"):
-                extra["default_headers"] = {"User-Agent": "claude-code/0.1.0"}
+                extra["default_headers"] = {"User-Agent": "KimiCLI/1.30.0"}
             elif base_url_host_matches(base_url, "api.githubcopilot.com"):
                 from hermes_cli.models import copilot_default_headers
 
@@ -902,7 +844,7 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
                 return GeminiNativeClient(api_key=api_key, base_url=base_url), model
         extra = {}
         if base_url_host_matches(base_url, "api.kimi.com"):
-            extra["default_headers"] = {"User-Agent": "claude-code/0.1.0"}
+            extra["default_headers"] = {"User-Agent": "KimiCLI/1.30.0"}
         elif base_url_host_matches(base_url, "api.githubcopilot.com"):
             from hermes_cli.models import copilot_default_headers
 
@@ -935,19 +877,6 @@ def _try_openrouter() -> Tuple[Optional[OpenAI], Optional[str]]:
                    default_headers=_OR_HEADERS), _OPENROUTER_MODEL
 
 
-def _describe_openrouter_unavailable() -> str:
-    """Return a more precise OpenRouter auth failure reason for logs."""
-    pool_present, entry = _select_pool_entry("openrouter")
-    if pool_present:
-        if entry is None:
-            return "OpenRouter credential pool has no usable entries (credentials may be exhausted)"
-        if not _pool_runtime_api_key(entry):
-            return "OpenRouter credential pool entry is missing a runtime API key"
-    if not str(os.getenv("OPENROUTER_API_KEY") or "").strip():
-        return "OPENROUTER_API_KEY not set"
-    return "no usable OpenRouter credentials found"
-
-
 def _try_nous(vision: bool = False) -> Tuple[Optional[OpenAI], Optional[str]]:
     # Check cross-session rate limit guard before attempting Nous —
     # if another session already recorded a 429, skip Nous entirely
@@ -965,50 +894,29 @@ def _try_nous(vision: bool = False) -> Tuple[Optional[OpenAI], Optional[str]]:
         pass
 
     nous = _read_nous_auth()
-    runtime = _resolve_nous_runtime_api(force_refresh=False)
-    if runtime is None and not nous:
+    if not nous:
         return None, None
     global auxiliary_is_nous
     auxiliary_is_nous = True
     logger.debug("Auxiliary client: Nous Portal")
-
-    # Ask the Portal which model it currently recommends for this task type.
-    # The /api/nous/recommended-models endpoint is the authoritative source:
-    # it distinguishes paid vs free tier recommendations, and get_nous_recommended_aux_model
-    # auto-detects the caller's tier via check_nous_free_tier().  Fall back to
-    # _NOUS_MODEL (google/gemini-3-flash-preview) when the Portal is unreachable
-    # or returns a null recommendation for this task type.
-    model = _NOUS_MODEL
-    try:
-        from hermes_cli.models import get_nous_recommended_aux_model
-        recommended = get_nous_recommended_aux_model(vision=vision)
-        if recommended:
-            model = recommended
-            logger.debug(
-                "Auxiliary/%s: using Portal-recommended model %s",
-                "vision" if vision else "text", model,
-            )
-        else:
-            logger.debug(
-                "Auxiliary/%s: no Portal recommendation, falling back to %s",
-                "vision" if vision else "text", model,
-            )
-    except Exception as exc:
-        logger.debug(
-            "Auxiliary/%s: recommended-models lookup failed (%s); "
-            "falling back to %s",
-            "vision" if vision else "text", exc, model,
-        )
-
-    if runtime is not None:
-        api_key, base_url = runtime
+    if nous.get("source") == "pool":
+        model = "gemini-3-flash"
     else:
-        api_key = _nous_api_key(nous or {})
-        base_url = str((nous or {}).get("inference_base_url") or _nous_base_url()).rstrip("/")
+        model = _NOUS_MODEL
+    # Free-tier users can't use paid auxiliary models — use the free
+    # models instead: mimo-v2-omni for vision, mimo-v2-pro for text tasks.
+    try:
+        from hermes_cli.models import check_nous_free_tier
+        if check_nous_free_tier():
+            model = _NOUS_FREE_TIER_VISION_MODEL if vision else _NOUS_FREE_TIER_AUX_MODEL
+            logger.debug("Free-tier Nous account — using %s for auxiliary/%s",
+                         model, "vision" if vision else "text")
+    except Exception:
+        pass
     return (
         OpenAI(
-            api_key=api_key,
-            base_url=base_url,
+            api_key=_nous_api_key(nous),
+            base_url=str(nous.get("inference_base_url") or _nous_base_url()).rstrip("/"),
         ),
         model,
     )
@@ -1169,10 +1077,8 @@ def _try_custom_endpoint() -> Tuple[Optional[Any], Optional[str]]:
         return None, None
     model = _read_main_model() or "gpt-4o-mini"
     logger.debug("Auxiliary client: custom endpoint (%s, api_mode=%s)", model, custom_mode or "chat_completions")
-    _clean_base, _dq = _extract_url_query_params(custom_base)
-    _extra = {"default_query": _dq} if _dq else {}
     if custom_mode == "codex_responses":
-        real_client = OpenAI(api_key=custom_key, base_url=_clean_base, **_extra)
+        real_client = OpenAI(api_key=custom_key, base_url=custom_base)
         return CodexAuxiliaryClient(real_client, model), model
     if custom_mode == "anthropic_messages":
         # Third-party Anthropic-compatible gateway (MiniMax, Zhipu GLM,
@@ -1186,12 +1092,12 @@ def _try_custom_endpoint() -> Tuple[Optional[Any], Optional[str]]:
                 "Custom endpoint declares api_mode=anthropic_messages but the "
                 "anthropic SDK is not installed — falling back to OpenAI-wire."
             )
-            return OpenAI(api_key=custom_key, base_url=_clean_base, **_extra), model
+            return OpenAI(api_key=custom_key, base_url=custom_base), model
         return (
             AnthropicAuxiliaryClient(real_client, model, custom_key, custom_base, is_oauth=False),
             model,
         )
-    return OpenAI(api_key=custom_key, base_url=_clean_base, **_extra), model
+    return OpenAI(api_key=custom_key, base_url=custom_base), model
 
 
 def _try_codex() -> Tuple[Optional[Any], Optional[str]]:
@@ -1354,120 +1260,6 @@ def _is_connection_error(exc: Exception) -> bool:
     return False
 
 
-def _is_auth_error(exc: Exception) -> bool:
-    """Detect auth failures that should trigger provider-specific refresh."""
-    status = getattr(exc, "status_code", None)
-    if status == 401:
-        return True
-    err_lower = str(exc).lower()
-    return "error code: 401" in err_lower or "authenticationerror" in type(exc).__name__.lower()
-
-
-def _is_unsupported_parameter_error(exc: Exception, param: str) -> bool:
-    """Detect provider 400s for an unsupported request parameter.
-
-    Different OpenAI-compatible endpoints phrase the same class of error a few
-    ways: ``Unsupported parameter: X``, ``unsupported_parameter`` with a
-    ``param`` field, ``X is not supported``, ``unknown parameter: X``,
-    ``unrecognized request argument: X``.  We match on both the parameter
-    name and a generic "unsupported/unknown/unrecognized parameter" marker so
-    call sites can reactively retry without the offending key instead of
-    surfacing a noisy auxiliary failure.
-
-    Generalizes the temperature-specific detector that originally shipped
-    with PR #15621 so the same retry strategy can cover ``max_tokens``,
-    ``seed``, ``top_p``, and any future quirk. Credit @nicholasrae (PR #15416)
-    for the generalization pattern.
-    """
-    param_lower = (param or "").lower()
-    if not param_lower:
-        return False
-    err_lower = str(exc).lower()
-    if param_lower not in err_lower:
-        return False
-    return any(marker in err_lower for marker in (
-        "unsupported parameter",
-        "unsupported_parameter",
-        "not supported",
-        "does not support",
-        "unknown parameter",
-        "unrecognized request argument",
-        "unrecognized parameter",
-        "invalid parameter",
-    ))
-
-
-def _is_unsupported_temperature_error(exc: Exception) -> bool:
-    """Back-compat wrapper: detect API errors where the model rejects ``temperature``.
-
-    Delegates to :func:`_is_unsupported_parameter_error`; kept as a separate
-    public symbol because existing tests and call sites import it by name.
-    """
-    return _is_unsupported_parameter_error(exc, "temperature")
-
-
-def _evict_cached_clients(provider: str) -> None:
-    """Drop cached auxiliary clients for a provider so fresh creds are used."""
-    normalized = _normalize_aux_provider(provider)
-    with _client_cache_lock:
-        stale_keys = [
-            key for key in _client_cache
-            if _normalize_aux_provider(str(key[0])) == normalized
-        ]
-        for key in stale_keys:
-            client = _client_cache.get(key, (None, None, None))[0]
-            if client is not None:
-                _force_close_async_httpx(client)
-                try:
-                    close_fn = getattr(client, "close", None)
-                    if callable(close_fn):
-                        close_fn()
-                except Exception:
-                    pass
-            _client_cache.pop(key, None)
-
-
-def _refresh_provider_credentials(provider: str) -> bool:
-    """Refresh short-lived credentials for OAuth-backed auxiliary providers."""
-    normalized = _normalize_aux_provider(provider)
-    try:
-        if normalized == "openai-codex":
-            from hermes_cli.auth import resolve_codex_runtime_credentials
-
-            creds = resolve_codex_runtime_credentials(force_refresh=True)
-            if not str(creds.get("api_key", "") or "").strip():
-                return False
-            _evict_cached_clients(normalized)
-            return True
-        if normalized == "nous":
-            from hermes_cli.auth import resolve_nous_runtime_credentials
-
-            creds = resolve_nous_runtime_credentials(
-                min_key_ttl_seconds=max(60, int(os.getenv("HERMES_NOUS_MIN_KEY_TTL_SECONDS", "1800"))),
-                timeout_seconds=float(os.getenv("HERMES_NOUS_TIMEOUT_SECONDS", "15")),
-                force_mint=True,
-            )
-            if not str(creds.get("api_key", "") or "").strip():
-                return False
-            _evict_cached_clients(normalized)
-            return True
-        if normalized == "anthropic":
-            from agent.anthropic_adapter import read_claude_code_credentials, _refresh_oauth_token, resolve_anthropic_token
-
-            creds = read_claude_code_credentials()
-            token = _refresh_oauth_token(creds) if isinstance(creds, dict) and creds.get("refreshToken") else None
-            if not str(token or "").strip():
-                token = resolve_anthropic_token()
-            if not str(token or "").strip():
-                return False
-            _evict_cached_clients(normalized)
-            return True
-    except Exception as exc:
-        logger.debug("Auxiliary provider credential refresh failed for %s: %s", normalized, exc)
-        return False
-    return False
-
-
 def _try_payment_fallback(
     failed_provider: str,
     task: str = None,
@@ -1651,7 +1443,7 @@ def _to_async_client(sync_client, model: str):
 
         async_kwargs["default_headers"] = copilot_default_headers()
     elif base_url_host_matches(sync_base_url, "api.kimi.com"):
-        async_kwargs["default_headers"] = {"User-Agent": "claude-code/0.1.0"}
+        async_kwargs["default_headers"] = {"User-Agent": "KimiCLI/1.30.0"}
     return AsyncOpenAI(**async_kwargs), model
 
 
@@ -1766,10 +1558,8 @@ def resolve_provider_client(
     if provider == "openrouter":
         client, default = _try_openrouter()
         if client is None:
-            logger.warning(
-                "resolve_provider_client: openrouter requested but %s",
-                _describe_openrouter_unavailable(),
-            )
+            logger.warning("resolve_provider_client: openrouter requested "
+                           "but OPENROUTER_API_KEY not set")
             return None, None
         final_model = _normalize_resolved_model(model or default, provider)
         return (_to_async_client(client, final_model) if async_mode
@@ -1777,13 +1567,7 @@ def resolve_provider_client(
 
     # ── Nous Portal (OAuth) ──────────────────────────────────────────
     if provider == "nous":
-        # Detect vision tasks: either explicit model override from
-        # _PROVIDER_VISION_MODELS, or caller passed a known vision model.
-        _is_vision = (
-            model in _PROVIDER_VISION_MODELS.values()
-            or (model or "").strip().lower() == "mimo-v2-omni"
-        )
-        client, default = _try_nous(vision=_is_vision)
+        client, default = _try_nous()
         if client is None:
             logger.warning("resolve_provider_client: nous requested "
                            "but Nous Portal not configured (run: hermes auth)")
@@ -1839,15 +1623,12 @@ def resolve_provider_client(
                 provider,
             )
             extra = {}
-            _clean_base, _dq = _extract_url_query_params(custom_base)
-            if _dq:
-                extra["default_query"] = _dq
             if base_url_host_matches(custom_base, "api.kimi.com"):
-                extra["default_headers"] = {"User-Agent": "claude-code/0.1.0"}
+                extra["default_headers"] = {"User-Agent": "KimiCLI/1.30.0"}
             elif base_url_host_matches(custom_base, "api.githubcopilot.com"):
                 from hermes_cli.models import copilot_default_headers
                 extra["default_headers"] = copilot_default_headers()
-            client = OpenAI(api_key=custom_key, base_url=_clean_base, **extra)
+            client = OpenAI(api_key=custom_key, base_url=custom_base, **extra)
             client = _wrap_if_needed(client, final_model, custom_base)
             return (_to_async_client(client, final_model) if async_mode
                     else (client, final_model))
@@ -1865,7 +1646,7 @@ def resolve_provider_client(
                        "but no endpoint credentials found")
         return None, None
 
-    # ── Named custom providers (config.yaml providers dict / custom_providers list) ───
+    # ── Named custom providers (config.yaml custom_providers list) ───
     try:
         from hermes_cli.runtime_provider import _get_named_custom_provider
         custom_entry = _get_named_custom_provider(provider)
@@ -1876,53 +1657,16 @@ def resolve_provider_client(
             if not custom_key and custom_key_env:
                 custom_key = os.getenv(custom_key_env, "").strip()
             custom_key = custom_key or "no-key-required"
-            # An explicit per-task api_mode override (from _resolve_task_provider_model)
-            # wins; otherwise fall back to what the provider entry declared.
-            entry_api_mode = (api_mode or custom_entry.get("api_mode") or "").strip()
             if custom_base:
                 final_model = _normalize_resolved_model(
                     model or custom_entry.get("model") or _read_main_model() or "gpt-4o-mini",
                     provider,
                 )
-                _clean_base2, _dq2 = _extract_url_query_params(custom_base)
-                _extra2 = {"default_query": _dq2} if _dq2 else {}
+                client = OpenAI(api_key=custom_key, base_url=custom_base)
+                client = _wrap_if_needed(client, final_model, custom_base)
                 logger.debug(
-                    "resolve_provider_client: named custom provider %r (%s, api_mode=%s)",
-                    provider, final_model, entry_api_mode or "chat_completions")
-                # anthropic_messages: route through the Anthropic Messages API
-                # via AnthropicAuxiliaryClient. Mirrors the anonymous-custom
-                # branch in _try_custom_endpoint(). See #15033.
-                if entry_api_mode == "anthropic_messages":
-                    try:
-                        from agent.anthropic_adapter import build_anthropic_client
-                        real_client = build_anthropic_client(custom_key, custom_base)
-                    except ImportError:
-                        logger.warning(
-                            "Named custom provider %r declares api_mode="
-                            "anthropic_messages but the anthropic SDK is not "
-                            "installed — falling back to OpenAI-wire.",
-                            provider,
-                        )
-                        client = OpenAI(api_key=custom_key, base_url=_clean_base2, **_extra2)
-                        return (_to_async_client(client, final_model) if async_mode
-                                else (client, final_model))
-                    sync_anthropic = AnthropicAuxiliaryClient(
-                        real_client, final_model, custom_key, custom_base, is_oauth=False,
-                    )
-                    if async_mode:
-                        return AsyncAnthropicAuxiliaryClient(sync_anthropic), final_model
-                    return sync_anthropic, final_model
-                client = OpenAI(api_key=custom_key, base_url=_clean_base2, **_extra2)
-                # codex_responses or inherited auto-detect (via _wrap_if_needed).
-                # _wrap_if_needed reads the closed-over `api_mode` (the task-level
-                # override). Named-provider entry api_mode=codex_responses also
-                # flows through here.
-                if entry_api_mode == "codex_responses" and not isinstance(
-                    client, CodexAuxiliaryClient
-                ):
-                    client = CodexAuxiliaryClient(client, final_model)
-                else:
-                    client = _wrap_if_needed(client, final_model, custom_base)
+                    "resolve_provider_client: named custom provider %r (%s)",
+                    provider, final_model)
                 return (_to_async_client(client, final_model) if async_mode
                         else (client, final_model))
             logger.warning(
@@ -1987,7 +1731,7 @@ def resolve_provider_client(
         # Provider-specific headers
         headers = {}
         if base_url_host_matches(base_url, "api.kimi.com"):
-            headers["User-Agent"] = "claude-code/0.1.0"
+            headers["User-Agent"] = "KimiCLI/1.30.0"
         elif base_url_host_matches(base_url, "api.githubcopilot.com"):
             from hermes_cli.models import copilot_default_headers
 
@@ -2055,39 +1799,6 @@ def resolve_provider_client(
                        "directly supported", provider)
         return None, None
 
-    elif pconfig.auth_type == "aws_sdk":
-        # AWS SDK providers (Bedrock) — use the Anthropic Bedrock client via
-        # boto3's credential chain (IAM roles, SSO, env vars, instance metadata).
-        try:
-            from agent.bedrock_adapter import has_aws_credentials, resolve_bedrock_region
-            from agent.anthropic_adapter import build_anthropic_bedrock_client
-        except ImportError:
-            logger.warning("resolve_provider_client: bedrock requested but "
-                           "boto3 or anthropic SDK not installed")
-            return None, None
-
-        if not has_aws_credentials():
-            logger.debug("resolve_provider_client: bedrock requested but "
-                         "no AWS credentials found")
-            return None, None
-
-        region = resolve_bedrock_region()
-        default_model = "anthropic.claude-haiku-4-5-20251001-v1:0"
-        final_model = _normalize_resolved_model(model or default_model, provider)
-        try:
-            real_client = build_anthropic_bedrock_client(region)
-        except ImportError as exc:
-            logger.warning("resolve_provider_client: cannot create Bedrock "
-                           "client: %s", exc)
-            return None, None
-        client = AnthropicAuxiliaryClient(
-            real_client, final_model, api_key="aws-sdk",
-            base_url=f"https://bedrock-runtime.{region}.amazonaws.com",
-        )
-        logger.debug("resolve_provider_client: bedrock (%s, %s)", final_model, region)
-        return (_to_async_client(client, final_model) if async_mode
-                else (client, final_model))
-
     elif pconfig.auth_type in ("oauth_device_code", "oauth_external"):
         # OAuth providers — route through their specific try functions
         if provider == "nous":
@@ -2252,35 +1963,24 @@ def resolve_vision_provider_client(
         #      _PROVIDER_VISION_MODELS provides per-provider vision model
         #      overrides when the provider has a dedicated multimodal model
         #      that differs from the chat model (e.g. xiaomi → mimo-v2-omni,
-        #      zai → glm-5v-turbo). Nous is the exception: it has a dedicated
-        #      strict vision backend with tier-aware defaults, so it must not
-        #      fall through to the user's text chat model here.
+        #      zai → glm-5v-turbo).
         #   2. OpenRouter  (vision-capable aggregator fallback)
         #   3. Nous Portal (vision-capable aggregator fallback)
         #   4. Stop
         main_provider = _read_main_provider()
         main_model = _read_main_model()
         if main_provider and main_provider not in ("auto", ""):
-            if main_provider == "nous":
-                sync_client, default_model = _resolve_strict_vision_backend(main_provider)
-                if sync_client is not None:
-                    logger.info(
-                        "Vision auto-detect: using main provider %s (%s)",
-                        main_provider, default_model or resolved_model or main_model,
-                    )
-                    return _finalize(main_provider, sync_client, default_model)
-            else:
-                vision_model = _PROVIDER_VISION_MODELS.get(main_provider, main_model)
-                rpc_client, rpc_model = resolve_provider_client(
-                    main_provider, vision_model,
-                    api_mode=resolved_api_mode)
-                if rpc_client is not None:
-                    logger.info(
-                        "Vision auto-detect: using main provider %s (%s)",
-                        main_provider, rpc_model or vision_model,
-                    )
-                    return _finalize(
-                        main_provider, rpc_client, rpc_model or vision_model)
+            vision_model = _PROVIDER_VISION_MODELS.get(main_provider, main_model)
+            rpc_client, rpc_model = resolve_provider_client(
+                main_provider, vision_model,
+                api_mode=resolved_api_mode)
+            if rpc_client is not None:
+                logger.info(
+                    "Vision auto-detect: using main provider %s (%s)",
+                    main_provider, rpc_model or vision_model,
+                )
+                return _finalize(
+                    main_provider, rpc_client, rpc_model or vision_model)
 
         # Fall back through aggregators (uses their dedicated vision model,
         # not the user's main model) when main provider has no client.
@@ -2355,76 +2055,6 @@ _client_cache_lock = threading.Lock()
 _CLIENT_CACHE_MAX_SIZE = 64  # safety belt — evict oldest when exceeded
 
 
-def _client_cache_key(
-    provider: str,
-    *,
-    async_mode: bool,
-    base_url: Optional[str] = None,
-    api_key: Optional[str] = None,
-    api_mode: Optional[str] = None,
-    main_runtime: Optional[Dict[str, Any]] = None,
-) -> tuple:
-    runtime = _normalize_main_runtime(main_runtime)
-    runtime_key = tuple(runtime.get(field, "") for field in _MAIN_RUNTIME_FIELDS) if provider == "auto" else ()
-    return (provider, async_mode, base_url or "", api_key or "", api_mode or "", runtime_key)
-
-
-def _store_cached_client(cache_key: tuple, client: Any, default_model: Optional[str], *, bound_loop: Any = None) -> None:
-    with _client_cache_lock:
-        old_entry = _client_cache.get(cache_key)
-        if old_entry is not None and old_entry[0] is not client:
-            _force_close_async_httpx(old_entry[0])
-            try:
-                close_fn = getattr(old_entry[0], "close", None)
-                if callable(close_fn):
-                    close_fn()
-            except Exception:
-                pass
-        _client_cache[cache_key] = (client, default_model, bound_loop)
-
-
-def _refresh_nous_auxiliary_client(
-    *,
-    cache_provider: str,
-    model: Optional[str],
-    async_mode: bool,
-    base_url: Optional[str] = None,
-    api_key: Optional[str] = None,
-    api_mode: Optional[str] = None,
-    main_runtime: Optional[Dict[str, Any]] = None,
-) -> Tuple[Optional[Any], Optional[str]]:
-    """Refresh Nous runtime creds, rebuild the client, and replace the cache entry."""
-    runtime = _resolve_nous_runtime_api(force_refresh=True)
-    if runtime is None:
-        return None, model
-
-    fresh_key, fresh_base_url = runtime
-    sync_client = OpenAI(api_key=fresh_key, base_url=fresh_base_url)
-    final_model = model
-
-    current_loop = None
-    if async_mode:
-        try:
-            import asyncio as _aio
-            current_loop = _aio.get_event_loop()
-        except RuntimeError:
-            pass
-        client, final_model = _to_async_client(sync_client, final_model or "")
-    else:
-        client = sync_client
-
-    cache_key = _client_cache_key(
-        cache_provider,
-        async_mode=async_mode,
-        base_url=base_url,
-        api_key=api_key,
-        api_mode=api_mode,
-        main_runtime=main_runtime,
-    )
-    _store_cached_client(cache_key, client, final_model, bound_loop=current_loop)
-    return client, final_model
-
-
 def neuter_async_httpx_del() -> None:
     """Monkey-patch ``AsyncHttpxClientWrapper.__del__`` to be a no-op.
 
@@ -2578,14 +2208,8 @@ def _get_cached_client(
         except RuntimeError:
             pass
     runtime = _normalize_main_runtime(main_runtime)
-    cache_key = _client_cache_key(
-        provider,
-        async_mode=async_mode,
-        base_url=base_url,
-        api_key=api_key,
-        api_mode=api_mode,
-        main_runtime=main_runtime,
-    )
+    runtime_key = tuple(runtime.get(field, "") for field in _MAIN_RUNTIME_FIELDS) if provider == "auto" else ()
+    cache_key = (provider, async_mode, base_url or "", api_key or "", api_mode or "", runtime_key)
     with _client_cache_lock:
         if cache_key in _client_cache:
             cached_client, cached_default, cached_loop = _client_cache[cache_key]
@@ -2822,8 +2446,8 @@ def _build_call_kwargs(
         temperature = fixed_temperature
 
     # Opus 4.7+ rejects any non-default temperature/top_p/top_k — silently
-    # drop here so auxiliary callers that hardcode temperature (e.g. 0 on
-    # structured-JSON extraction) don't 400 the moment
+    # drop here so auxiliary callers that hardcode temperature (e.g. 0.3 on
+    # flush_memories, 0 on structured-JSON extraction) don't 400 the moment
     # the aux model is flipped to 4.7.
     if temperature is not None:
         from agent.anthropic_adapter import _forbids_sampling_params
@@ -2911,7 +2535,7 @@ def call_llm(
 
     Args:
         task: Auxiliary task name ("compression", "vision", "web_extract",
-              "session_search", "skills_hub", "mcp", "title_generation").
+              "session_search", "skills_hub", "mcp", "flush_memories").
               Reads provider:model from config/env. Ignored if provider is set.
         provider: Explicit provider override.
         model: Explicit model override.
@@ -3014,45 +2638,13 @@ def call_llm(
     if _is_anthropic_compat_endpoint(resolved_provider, _client_base):
         kwargs["messages"] = _convert_openai_images_to_anthropic(kwargs["messages"])
 
-    # Handle unsupported temperature, max_tokens vs max_completion_tokens retry,
-    # then payment fallback.
+    # Handle max_tokens vs max_completion_tokens retry, then payment fallback.
     try:
         return _validate_llm_response(
             client.chat.completions.create(**kwargs), task)
     except Exception as first_err:
-        if "temperature" in kwargs and _is_unsupported_temperature_error(first_err):
-            retry_kwargs = dict(kwargs)
-            retry_kwargs.pop("temperature", None)
-            logger.info(
-                "Auxiliary %s: provider rejected temperature; retrying once without it",
-                task or "call",
-            )
-            try:
-                return _validate_llm_response(
-                    client.chat.completions.create(**retry_kwargs), task)
-            except Exception as retry_err:
-                retry_err_str = str(retry_err)
-                # If retry still fails, fall through to the max_tokens /
-                # payment / auth chains below using the temperature-stripped
-                # kwargs.  Re-raise only if the retry hit something those
-                # chains won't handle.
-                if not (
-                    _is_payment_error(retry_err)
-                    or _is_connection_error(retry_err)
-                    or _is_auth_error(retry_err)
-                    or "max_tokens" in retry_err_str
-                    or "unsupported_parameter" in retry_err_str
-                ):
-                    raise
-                first_err = retry_err
-                kwargs = retry_kwargs
-
         err_str = str(first_err)
-        if max_tokens is not None and (
-            "max_tokens" in err_str
-            or "unsupported_parameter" in err_str
-            or _is_unsupported_parameter_error(first_err, "max_tokens")
-        ):
+        if "max_tokens" in err_str or "unsupported_parameter" in err_str:
             kwargs.pop("max_tokens", None)
             kwargs["max_completion_tokens"] = max_tokens
             try:
@@ -3065,72 +2657,6 @@ def call_llm(
                     raise
                 first_err = retry_err
 
-        # ── Nous auth refresh parity with main agent ──────────────────
-        client_is_nous = (
-            resolved_provider == "nous"
-            or base_url_host_matches(_base_info, "inference-api.nousresearch.com")
-        )
-        if _is_auth_error(first_err) and client_is_nous:
-            refreshed_client, refreshed_model = _refresh_nous_auxiliary_client(
-                cache_provider=resolved_provider or "nous",
-                model=final_model,
-                async_mode=False,
-                base_url=resolved_base_url,
-                api_key=resolved_api_key,
-                api_mode=resolved_api_mode,
-                main_runtime=main_runtime,
-            )
-            if refreshed_client is not None:
-                logger.info("Auxiliary %s: refreshed Nous runtime credentials after 401, retrying",
-                            task or "call")
-                if refreshed_model and refreshed_model != kwargs.get("model"):
-                    kwargs["model"] = refreshed_model
-                return _validate_llm_response(
-                    refreshed_client.chat.completions.create(**kwargs), task)
-
-        # ── Auth refresh retry ───────────────────────────────────────
-        if (_is_auth_error(first_err)
-                and resolved_provider not in ("auto", "", None)
-                and not client_is_nous):
-            if _refresh_provider_credentials(resolved_provider):
-                logger.info(
-                    "Auxiliary %s: refreshed %s credentials after auth error, retrying",
-                    task or "call", resolved_provider,
-                )
-                retry_client, retry_model = (
-                    resolve_vision_provider_client(
-                        provider=resolved_provider,
-                        model=final_model,
-                        async_mode=False,
-                    )[1:]
-                    if task == "vision"
-                    else _get_cached_client(
-                        resolved_provider,
-                        resolved_model,
-                        base_url=resolved_base_url,
-                        api_key=resolved_api_key,
-                        api_mode=resolved_api_mode,
-                        main_runtime=main_runtime,
-                    )
-                )
-                if retry_client is not None:
-                    retry_kwargs = _build_call_kwargs(
-                        resolved_provider,
-                        retry_model or final_model,
-                        messages,
-                        temperature=temperature,
-                        max_tokens=max_tokens,
-                        tools=tools,
-                        timeout=effective_timeout,
-                        extra_body=effective_extra_body,
-                        base_url=resolved_base_url,
-                    )
-                    _retry_base = str(getattr(retry_client, "base_url", "") or "")
-                    if _is_anthropic_compat_endpoint(resolved_provider, _retry_base):
-                        retry_kwargs["messages"] = _convert_openai_images_to_anthropic(retry_kwargs["messages"])
-                    return _validate_llm_response(
-                        retry_client.chat.completions.create(**retry_kwargs), task)
-
         # ── Payment / credit exhaustion fallback ──────────────────────
         # When the resolved provider returns 402 or a credit-related error,
         # try alternative providers instead of giving up.  This handles the
@@ -3315,35 +2841,8 @@ async def async_call_llm(
         return _validate_llm_response(
             await client.chat.completions.create(**kwargs), task)
     except Exception as first_err:
-        if "temperature" in kwargs and _is_unsupported_temperature_error(first_err):
-            retry_kwargs = dict(kwargs)
-            retry_kwargs.pop("temperature", None)
-            logger.info(
-                "Auxiliary %s (async): provider rejected temperature; retrying once without it",
-                task or "call",
-            )
-            try:
-                return _validate_llm_response(
-                    await client.chat.completions.create(**retry_kwargs), task)
-            except Exception as retry_err:
-                retry_err_str = str(retry_err)
-                if not (
-                    _is_payment_error(retry_err)
-                    or _is_connection_error(retry_err)
-                    or _is_auth_error(retry_err)
-                    or "max_tokens" in retry_err_str
-                    or "unsupported_parameter" in retry_err_str
-                ):
-                    raise
-                first_err = retry_err
-                kwargs = retry_kwargs
-
         err_str = str(first_err)
-        if max_tokens is not None and (
-            "max_tokens" in err_str
-            or "unsupported_parameter" in err_str
-            or _is_unsupported_parameter_error(first_err, "max_tokens")
-        ):
+        if "max_tokens" in err_str or "unsupported_parameter" in err_str:
             kwargs.pop("max_tokens", None)
             kwargs["max_completion_tokens"] = max_tokens
             try:
@@ -3356,70 +2855,6 @@ async def async_call_llm(
                     raise
                 first_err = retry_err
 
-        # ── Nous auth refresh parity with main agent ──────────────────
-        client_is_nous = (
-            resolved_provider == "nous"
-            or base_url_host_matches(_client_base, "inference-api.nousresearch.com")
-        )
-        if _is_auth_error(first_err) and client_is_nous:
-            refreshed_client, refreshed_model = _refresh_nous_auxiliary_client(
-                cache_provider=resolved_provider or "nous",
-                model=final_model,
-                async_mode=True,
-                base_url=resolved_base_url,
-                api_key=resolved_api_key,
-                api_mode=resolved_api_mode,
-            )
-            if refreshed_client is not None:
-                logger.info("Auxiliary %s (async): refreshed Nous runtime credentials after 401, retrying",
-                            task or "call")
-                if refreshed_model and refreshed_model != kwargs.get("model"):
-                    kwargs["model"] = refreshed_model
-                return _validate_llm_response(
-                    await refreshed_client.chat.completions.create(**kwargs), task)
-
-        # ── Auth refresh retry (mirrors sync call_llm) ───────────────
-        if (_is_auth_error(first_err)
-                and resolved_provider not in ("auto", "", None)
-                and not client_is_nous):
-            if _refresh_provider_credentials(resolved_provider):
-                logger.info(
-                    "Auxiliary %s (async): refreshed %s credentials after auth error, retrying",
-                    task or "call", resolved_provider,
-                )
-                if task == "vision":
-                    _, retry_client, retry_model = resolve_vision_provider_client(
-                        provider=resolved_provider,
-                        model=final_model,
-                        async_mode=True,
-                    )
-                else:
-                    retry_client, retry_model = _get_cached_client(
-                        resolved_provider,
-                        resolved_model,
-                        async_mode=True,
-                        base_url=resolved_base_url,
-                        api_key=resolved_api_key,
-                        api_mode=resolved_api_mode,
-                    )
-                if retry_client is not None:
-                    retry_kwargs = _build_call_kwargs(
-                        resolved_provider,
-                        retry_model or final_model,
-                        messages,
-                        temperature=temperature,
-                        max_tokens=max_tokens,
-                        tools=tools,
-                        timeout=effective_timeout,
-                        extra_body=effective_extra_body,
-                        base_url=resolved_base_url,
-                    )
-                    _retry_base = str(getattr(retry_client, "base_url", "") or "")
-                    if _is_anthropic_compat_endpoint(resolved_provider, _retry_base):
-                        retry_kwargs["messages"] = _convert_openai_images_to_anthropic(retry_kwargs["messages"])
-                    return _validate_llm_response(
-                        await retry_client.chat.completions.create(**retry_kwargs), task)
-
         # ── Payment / connection fallback (mirrors sync call_llm) ─────
         should_fallback = _is_payment_error(first_err) or _is_connection_error(first_err)
         is_auto = resolved_provider in ("auto", "", None)

agent/bedrock_adapter.py

@@ -87,114 +87,6 @@ def reset_client_cache():
     _bedrock_control_client_cache.clear()
 
 
-def invalidate_runtime_client(region: str) -> bool:
-    """Evict the cached ``bedrock-runtime`` client for a single region.
-
-    Per-region counterpart to :func:`reset_client_cache`. Used by the converse
-    call wrappers to discard clients whose underlying HTTP connection has
-    gone stale, so the next call allocates a fresh client (with a fresh
-    connection pool) instead of reusing a dead socket.
-
-    Returns True if a cached entry was evicted, False if the region was not
-    cached.
-    """
-    existed = region in _bedrock_runtime_client_cache
-    _bedrock_runtime_client_cache.pop(region, None)
-    return existed
-
-
-# ---------------------------------------------------------------------------
-# Stale-connection detection
-# ---------------------------------------------------------------------------
-#
-# boto3 caches its HTTPS connection pool inside the client object. When a
-# pooled connection is killed out from under us (NAT timeout, VPN flap,
-# server-side TCP RST, proxy idle cull, etc.), the next use surfaces as
-# one of a handful of low-level exceptions — most commonly
-# ``botocore.exceptions.ConnectionClosedError`` or
-# ``urllib3.exceptions.ProtocolError``. urllib3 also trips an internal
-# ``assert`` in a couple of paths (connection pool state checks, chunked
-# response readers) which bubbles up as a bare ``AssertionError`` with an
-# empty ``str(exc)``.
-#
-# In all of these cases the client is the problem, not the request: retrying
-# with the same cached client reproduces the failure until the process
-# restarts. The fix is to evict the region's cached client so the next
-# attempt builds a new one.
-
-_STALE_LIB_MODULE_PREFIXES = (
-    "urllib3.",
-    "botocore.",
-    "boto3.",
-)
-
-
-def _traceback_frames_modules(exc: BaseException):
-    """Yield ``__name__``-style module strings for each frame in exc's traceback."""
-    tb = getattr(exc, "__traceback__", None)
-    while tb is not None:
-        frame = tb.tb_frame
-        module = frame.f_globals.get("__name__", "")
-        yield module or ""
-        tb = tb.tb_next
-
-
-def is_stale_connection_error(exc: BaseException) -> bool:
-    """Return True if ``exc`` indicates a dead/stale Bedrock HTTP connection.
-
-    Matches:
-      * ``botocore.exceptions.ConnectionError`` and subclasses
-        (``ConnectionClosedError``, ``EndpointConnectionError``,
-        ``ReadTimeoutError``, ``ConnectTimeoutError``).
-      * ``urllib3.exceptions.ProtocolError`` / ``NewConnectionError`` /
-        ``ConnectionError`` (best-effort import — urllib3 is a transitive
-        dependency of botocore so it is always available in practice).
-      * Bare ``AssertionError`` raised from a frame inside urllib3, botocore,
-        or boto3. These are internal-invariant failures (typically triggered
-        by corrupted connection-pool state after a dropped socket) and are
-        recoverable by swapping the client.
-
-    Non-library ``AssertionError``s (from application code or tests) are
-    intentionally not matched — only library-internal asserts signal stale
-    connection state.
-    """
-    # botocore: the canonical signal — HTTPClientError is the umbrella for
-    # ConnectionClosedError, ReadTimeoutError, EndpointConnectionError,
-    # ConnectTimeoutError, and ProxyConnectionError. ConnectionError covers
-    # the same family via a different branch of the hierarchy.
-    try:
-        from botocore.exceptions import (
-            ConnectionError as BotoConnectionError,
-            HTTPClientError,
-        )
-        botocore_errors: tuple = (BotoConnectionError, HTTPClientError)
-    except ImportError:  # pragma: no cover — botocore always present with boto3
-        botocore_errors = ()
-    if botocore_errors and isinstance(exc, botocore_errors):
-        return True
-
-    # urllib3: low-level transport failures
-    try:
-        from urllib3.exceptions import (
-            ProtocolError,
-            NewConnectionError,
-            ConnectionError as Urllib3ConnectionError,
-        )
-        urllib3_errors = (ProtocolError, NewConnectionError, Urllib3ConnectionError)
-    except ImportError:  # pragma: no cover
-        urllib3_errors = ()
-    if urllib3_errors and isinstance(exc, urllib3_errors):
-        return True
-
-    # Library-internal AssertionError (urllib3 / botocore / boto3)
-    if isinstance(exc, AssertionError):
-        for module in _traceback_frames_modules(exc):
-            if any(module.startswith(prefix) for prefix in _STALE_LIB_MODULE_PREFIXES):
-                return True
-
-    return False
-
-
 # ---------------------------------------------------------------------------
 # AWS credential detection
 # ---------------------------------------------------------------------------
@@ -895,17 +787,7 @@ def call_converse(
         guardrail_config=guardrail_config,
     )
 
-    try:
-        response = client.converse(**kwargs)
-    except Exception as exc:
-        if is_stale_connection_error(exc):
-            logger.warning(
-                "bedrock: stale-connection error on converse(region=%s, model=%s): "
-                "%s — evicting cached client so the next call reconnects.",
-                region, model, type(exc).__name__,
-            )
-            invalidate_runtime_client(region)
-        raise
+    response = client.converse(**kwargs)
     return normalize_converse_response(response)
 
 
@@ -937,17 +819,7 @@ def call_converse_stream(
         guardrail_config=guardrail_config,
     )
 
-    try:
-        response = client.converse_stream(**kwargs)
-    except Exception as exc:
-        if is_stale_connection_error(exc):
-            logger.warning(
-                "bedrock: stale-connection error on converse_stream(region=%s, "
-                "model=%s): %s — evicting cached client so the next call reconnects.",
-                region, model, type(exc).__name__,
-            )
-            invalidate_runtime_client(region)
-        raise
+    response = client.converse_stream(**kwargs)
     return normalize_converse_stream_events(response)
 
 

agent/codex_responses_adapter.py

@@ -23,52 +23,26 @@ from agent.prompt_builder import DEFAULT_AGENT_IDENTITY
 logger = logging.getLogger(__name__)
 
 
-# Matches Codex/Harmony tool-call serialization that occasionally leaks into
-# assistant-message content when the model fails to emit a structured
-# ``function_call`` item.  Accepts the common forms:
-#
-#   to=functions.exec_command
-#   assistant to=functions.exec_command
-#   <|channel|>commentary to=functions.exec_command
-#
-# ``to=functions.<name>`` is the stable marker — the optional ``assistant`` or
-# Harmony channel prefix varies by degeneration mode.  Case-insensitive to
-# cover lowercase/uppercase ``assistant`` variants.
-_TOOL_CALL_LEAK_PATTERN = re.compile(
-    r"(?:^|[\s>|])to=functions\.[A-Za-z_][\w.]*",
-    re.IGNORECASE,
-)
-
-
 # ---------------------------------------------------------------------------
 # Multimodal content helpers
 # ---------------------------------------------------------------------------
 
-def _chat_content_to_responses_parts(content: Any, *, role: str = "user") -> List[Dict[str, Any]]:
+def _chat_content_to_responses_parts(content: Any) -> List[Dict[str, Any]]:
     """Convert chat-style multimodal content to Responses API input parts.
 
     Input:  ``[{"type":"text"|"image_url", ...}]`` (native OpenAI Chat format)
-    Output: ``[{"type":"input_text"|"output_text"|"input_image", ...}]`` (Responses format)
-
-    The ``role`` parameter controls the text content type:
-    - ``"user"`` (default) → ``"input_text"``
-    - ``"assistant"`` → ``"output_text"``
-
-    The Responses API rejects ``input_text`` inside assistant messages and
-    ``output_text`` inside user messages, so callers MUST pass the correct
-    role for the message being converted.
+    Output: ``[{"type":"input_text"|"input_image", ...}]`` (Responses format)
 
     Returns an empty list when ``content`` is not a list or contains no
     recognized parts — callers fall back to the string path.
     """
-    text_type = "output_text" if role == "assistant" else "input_text"
     if not isinstance(content, list):
         return []
     converted: List[Dict[str, Any]] = []
     for part in content:
         if isinstance(part, str):
             if part:
-                converted.append({"type": text_type, "text": part})
+                converted.append({"type": "input_text", "text": part})
             continue
         if not isinstance(part, dict):
             continue
@@ -76,7 +50,7 @@ def _chat_content_to_responses_parts(content: Any, *, role: str = "user") -> Lis
         if ptype in {"text", "input_text", "output_text"}:
             text = part.get("text")
             if isinstance(text, str) and text:
-                converted.append({"type": text_type, "text": text})
+                converted.append({"type": "input_text", "text": text})
             continue
         if ptype in {"image_url", "input_image"}:
             image_ref = part.get("image_url")
@@ -227,23 +201,6 @@ def _responses_tools(tools: Optional[List[Dict[str, Any]]] = None) -> Optional[L
 # Message format conversion
 # ---------------------------------------------------------------------------
 
-_RESPONSE_MESSAGE_STATUSES = {"completed", "incomplete", "in_progress"}
-
-
-def _normalize_responses_message_status(value: Any, *, default: str = "completed") -> str:
-    """Normalize a Responses assistant message status for replay.
-
-    The API accepts completed/incomplete/in_progress on replayed assistant
-    output messages.  Preserve those exactly (modulo case/hyphen spelling) so
-    incomplete Codex continuation turns don't get falsely marked completed.
-    """
-    if isinstance(value, str):
-        status = value.strip().lower().replace("-", "_").replace(" ", "_")
-        if status in _RESPONSE_MESSAGE_STATUSES:
-            return status
-    return default
-
-
 def _chat_messages_to_responses_input(messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
     """Convert internal chat-style messages to Responses input items."""
     items: List[Dict[str, Any]] = []
@@ -259,10 +216,9 @@ def _chat_messages_to_responses_input(messages: List[Dict[str, Any]]) -> List[Di
         if role in {"user", "assistant"}:
             content = msg.get("content", "")
             if isinstance(content, list):
-                content_parts = _chat_content_to_responses_parts(content, role=role)
-                text_type = "output_text" if role == "assistant" else "input_text"
+                content_parts = _chat_content_to_responses_parts(content)
                 content_text = "".join(
-                    p.get("text", "") for p in content_parts if p.get("type") == text_type
+                    p.get("text", "") for p in content_parts if p.get("type") == "input_text"
                 )
             else:
                 content_parts = []
@@ -289,57 +245,7 @@ def _chat_messages_to_responses_input(messages: List[Dict[str, Any]]) -> List[Di
                                 seen_item_ids.add(item_id)
                             has_codex_reasoning = True
 
-                # Replay exact assistant message items (with id/phase) from
-                # previous turns so the API can maintain prefix-cache hits.
-                # OpenAI docs: "preserve and resend phase on all assistant
-                # messages — dropping it can degrade performance."
-                codex_message_items = msg.get("codex_message_items")
-                replayed_message_items = 0
-                if isinstance(codex_message_items, list):
-                    for raw_item in codex_message_items:
-                        if not isinstance(raw_item, dict):
-                            continue
-                        if raw_item.get("type") != "message" or raw_item.get("role") != "assistant":
-                            continue
-                        raw_content_parts = raw_item.get("content")
-                        if not isinstance(raw_content_parts, list):
-                            continue
-
-                        normalized_content_parts = []
-                        for part in raw_content_parts:
-                            if not isinstance(part, dict):
-                                continue
-                            part_type = str(part.get("type") or "").strip()
-                            if part_type not in {"output_text", "text"}:
-                                continue
-                            text = part.get("text", "")
-                            if text is None:
-                                text = ""
-                            if not isinstance(text, str):
-                                text = str(text)
-                            normalized_content_parts.append({"type": "output_text", "text": text})
-
-                        if not normalized_content_parts:
-                            continue
-
-                        replay_item = {
-                            "type": "message",
-                            "role": "assistant",
-                            "status": _normalize_responses_message_status(raw_item.get("status")),
-                            "content": normalized_content_parts,
-                        }
-                        item_id = raw_item.get("id")
-                        if isinstance(item_id, str) and item_id.strip():
-                            replay_item["id"] = item_id.strip()
-                        phase = raw_item.get("phase")
-                        if isinstance(phase, str) and phase.strip():
-                            replay_item["phase"] = phase.strip()
-                        items.append(replay_item)
-                        replayed_message_items += 1
-
-                if replayed_message_items > 0:
-                    pass
-                elif content_parts:
+                if content_parts:
                     items.append({"role": "assistant", "content": content_parts})
                 elif content_text.strip():
                     items.append({"role": "assistant", "content": content_text})
@@ -499,47 +405,6 @@ def _preflight_codex_input_items(raw_items: Any) -> List[Dict[str, Any]]:
                 normalized.append(reasoning_item)
             continue
 
-        if item_type == "message":
-            role = item.get("role")
-            if role != "assistant":
-                raise ValueError(f"Codex Responses input[{idx}] message items must have role='assistant'.")
-            content = item.get("content")
-            if not isinstance(content, list):
-                raise ValueError(f"Codex Responses input[{idx}] message item must have content list.")
-            normalized_content = []
-            for part_idx, part in enumerate(content):
-                if not isinstance(part, dict):
-                    raise ValueError(
-                        f"Codex Responses input[{idx}] message content[{part_idx}] must be an object."
-                    )
-                part_type = part.get("type")
-                if part_type not in {"output_text", "text"}:
-                    raise ValueError(
-                        f"Codex Responses input[{idx}] message content[{part_idx}] has unsupported type {part_type!r}."
-                    )
-                text = part.get("text", "")
-                if text is None:
-                    text = ""
-                if not isinstance(text, str):
-                    text = str(text)
-                normalized_content.append({"type": "output_text", "text": text})
-            if not normalized_content:
-                raise ValueError(f"Codex Responses input[{idx}] message item must contain at least one text part.")
-            normalized_item: Dict[str, Any] = {
-                "type": "message",
-                "role": "assistant",
-                "status": _normalize_responses_message_status(item.get("status")),
-                "content": normalized_content,
-            }
-            item_id = item.get("id")
-            if isinstance(item_id, str) and item_id.strip():
-                normalized_item["id"] = item_id.strip()
-            phase = item.get("phase")
-            if isinstance(phase, str) and phase.strip():
-                normalized_item["phase"] = phase.strip()
-            normalized.append(normalized_item)
-            continue
-
         role = item.get("role")
         if role in {"user", "assistant"}:
             content = item.get("content", "")
@@ -547,16 +412,13 @@ def _preflight_codex_input_items(raw_items: Any) -> List[Dict[str, Any]]:
                 content = ""
             if isinstance(content, list):
                 # Multimodal content from ``_chat_messages_to_responses_input``
-                # is already in Responses format (``input_text`` / ``output_text``
-                # / ``input_image``).  Validate each part and pass through.
-                # Use the correct text type for the role — ``output_text`` for
-                # assistant messages, ``input_text`` for user messages.
-                text_type = "output_text" if role == "assistant" else "input_text"
+                # is already in Responses format (``input_text`` / ``input_image``).
+                # Validate each part and pass through.
                 validated: List[Dict[str, Any]] = []
                 for part_idx, part in enumerate(content):
                     if isinstance(part, str):
                         if part:
-                            validated.append({"type": text_type, "text": part})
+                            validated.append({"type": "input_text", "text": part})
                         continue
                     if not isinstance(part, dict):
                         raise ValueError(
@@ -567,7 +429,7 @@ def _preflight_codex_input_items(raw_items: Any) -> List[Dict[str, Any]]:
                         text = part.get("text", "")
                         if not isinstance(text, str):
                             text = str(text or "")
-                        validated.append({"type": text_type, "text": text})
+                        validated.append({"type": "input_text", "text": text})
                     elif ptype in {"input_image", "image_url"}:
                         image_ref = part.get("image_url", "")
                         detail = part.get("detail")
@@ -824,7 +686,6 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
     content_parts: List[str] = []
     reasoning_parts: List[str] = []
     reasoning_items_raw: List[Dict[str, Any]] = []
-    message_items_raw: List[Dict[str, Any]] = []
     tool_calls: List[Any] = []
     has_incomplete_items = response_status in {"queued", "in_progress", "incomplete"}
     saw_commentary_phase = False
@@ -843,7 +704,6 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
 
         if item_type == "message":
             item_phase = getattr(item, "phase", None)
-            normalized_phase = None
             if isinstance(item_phase, str):
                 normalized_phase = item_phase.strip().lower()
                 if normalized_phase in {"commentary", "analysis"}:
@@ -853,18 +713,6 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
             message_text = _extract_responses_message_text(item)
             if message_text:
                 content_parts.append(message_text)
-                raw_message_item: Dict[str, Any] = {
-                    "type": "message",
-                    "role": "assistant",
-                    "status": _normalize_responses_message_status(item_status),
-                    "content": [{"type": "output_text", "text": message_text}],
-                }
-                item_id = getattr(item, "id", None)
-                if isinstance(item_id, str) and item_id:
-                    raw_message_item["id"] = item_id
-                if normalized_phase:
-                    raw_message_item["phase"] = normalized_phase
-                message_items_raw.append(raw_message_item)
         elif item_type == "reasoning":
             reasoning_text = _extract_responses_reasoning_text(item)
             if reasoning_text:
@@ -939,37 +787,6 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
         if isinstance(out_text, str):
             final_text = out_text.strip()
 
-    # ── Tool-call leak recovery ──────────────────────────────────
-    # gpt-5.x on the Codex Responses API sometimes degenerates and emits
-    # what should be a structured `function_call` item as plain assistant
-    # text using the Harmony/Codex serialization (``to=functions.foo
-    # {json}`` or ``assistant to=functions.foo {json}``). The model
-    # intended to call a tool, but the intent never made it into
-    # ``response.output`` as a ``function_call`` item, so ``tool_calls``
-    # is empty here. If we pass this through, the parent sees a
-    # confident-looking summary with no audit trail (empty ``tool_trace``)
-    # and no tools actually ran — the Taiwan-embassy-email incident.
-    #
-    # Detection: leaked tokens always contain ``to=functions.<name>`` and
-    # the assistant message has no real tool calls. Treat it as incomplete
-    # so the existing Codex-incomplete continuation path (3 retries,
-    # handled in run_agent.py) gets a chance to re-elicit a proper
-    # ``function_call`` item. The existing loop already handles message
-    # append, dedup, and retry budget.
-    leaked_tool_call_text = False
-    if final_text and not tool_calls and _TOOL_CALL_LEAK_PATTERN.search(final_text):
-        leaked_tool_call_text = True
-        logger.warning(
-            "Codex response contains leaked tool-call text in assistant content "
-            "(no structured function_call items). Treating as incomplete so the "
-            "continuation path can re-elicit a proper tool call. Leaked snippet: %r",
-            final_text[:300],
-        )
-        # Clear the text so downstream code doesn't surface the garbage as
-        # a summary. The encrypted reasoning items (if any) are preserved
-        # so the model keeps its chain-of-thought on the retry.
-        final_text = ""
-
     assistant_message = SimpleNamespace(
         content=final_text,
         tool_calls=tool_calls,
@@ -977,13 +794,10 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
         reasoning_content=None,
         reasoning_details=None,
         codex_reasoning_items=reasoning_items_raw or None,
-        codex_message_items=message_items_raw or None,
     )
 
     if tool_calls:
         finish_reason = "tool_calls"
-    elif leaked_tool_call_text:
-        finish_reason = "incomplete"
     elif has_incomplete_items or (saw_commentary_phase and not saw_final_answer_phase):
         finish_reason = "incomplete"
     elif reasoning_items_raw and not final_text:

agent/context_compressor.py

@@ -64,47 +64,6 @@ _CHARS_PER_TOKEN = 4
 _SUMMARY_FAILURE_COOLDOWN_SECONDS = 600
 
 
-def _content_text_for_contains(content: Any) -> str:
-    """Return a best-effort text view of message content.
-
-    Used only for substring checks when we need to know whether we've already
-    appended a note to a message. Keeps multimodal lists intact elsewhere.
-    """
-    if content is None:
-        return ""
-    if isinstance(content, str):
-        return content
-    if isinstance(content, list):
-        parts: list[str] = []
-        for item in content:
-            if isinstance(item, str):
-                parts.append(item)
-            elif isinstance(item, dict):
-                text = item.get("text")
-                if isinstance(text, str):
-                    parts.append(text)
-        return "\n".join(part for part in parts if part)
-    return str(content)
-
-
-def _append_text_to_content(content: Any, text: str, *, prepend: bool = False) -> Any:
-    """Append or prepend plain text to message content safely.
-
-    Compression sometimes needs to add a note or merge a summary into an
-    existing message. Message content may be plain text or a multimodal list of
-    blocks, so direct string concatenation is not always safe.
-    """
-    if content is None:
-        return text
-    if isinstance(content, str):
-        return text + content if prepend else content + text
-    if isinstance(content, list):
-        text_block = {"type": "text", "text": text}
-        return [text_block, *content] if prepend else [*content, text_block]
-    rendered = str(content)
-    return text + rendered if prepend else rendered + text
-
-
 def _truncate_tool_call_args_json(args: str, head_chars: int = 200) -> str:
     """Shrink long string values inside a tool-call arguments JSON blob while
     preserving JSON validity.
@@ -294,7 +253,6 @@ class ContextCompressor(ContextEngine):
         self._context_probed = False
         self._context_probe_persistable = False
         self._previous_summary = None
-        self._last_summary_error = None
         self._last_compression_savings_pct = 100.0
         self._ineffective_compression_count = 0
 
@@ -318,13 +276,6 @@ class ContextCompressor(ContextEngine):
             int(context_length * self.threshold_percent),
             MINIMUM_CONTEXT_LENGTH,
         )
-        # Recalculate token budgets for the new context length so the
-        # compressor stays calibrated after a model switch (e.g. 200K → 32K).
-        target_tokens = int(self.threshold_tokens * self.summary_target_ratio)
-        self.tail_token_budget = target_tokens
-        self.max_summary_tokens = min(
-            int(context_length * 0.05), _SUMMARY_TOKENS_CEILING,
-        )
 
     def __init__(
         self,
@@ -397,7 +348,6 @@ class ContextCompressor(ContextEngine):
         self._last_compression_savings_pct: float = 100.0
         self._ineffective_compression_count: int = 0
         self._summary_failure_cooldown_until: float = 0.0
-        self._last_summary_error: Optional[str] = None
 
     def update_from_response(self, usage: Dict[str, Any]):
         """Update tracked token usage from API response."""
@@ -821,12 +771,10 @@ The user has requested that this compaction PRIORITISE preserving all informatio
             self._previous_summary = summary
             self._summary_failure_cooldown_until = 0.0
             self._summary_model_fallen_back = False
-            self._last_summary_error = None
             return self._with_summary_prefix(summary)
         except RuntimeError:
             # No provider configured — long cooldown, unlikely to self-resolve
             self._summary_failure_cooldown_until = time.monotonic() + _SUMMARY_FAILURE_COOLDOWN_SECONDS
-            self._last_summary_error = "no auxiliary LLM provider configured"
             logging.warning("Context compression: no provider available for "
                             "summary. Middle turns will be dropped without summary "
                             "for %d seconds.",
@@ -859,15 +807,11 @@ The user has requested that this compaction PRIORITISE preserving all informatio
                 )
                 self.summary_model = ""  # empty = use main model
                 self._summary_failure_cooldown_until = 0.0  # no cooldown
-                return self._generate_summary(turns_to_summarize, focus_topic=focus_topic)  # retry immediately
+                return self._generate_summary(turns_to_summarize)  # retry immediately
 
             # Transient errors (timeout, rate limit, network) — shorter cooldown
             _transient_cooldown = 60
             self._summary_failure_cooldown_until = time.monotonic() + _transient_cooldown
-            err_text = str(e).strip() or e.__class__.__name__
-            if len(err_text) > 220:
-                err_text = err_text[:217].rstrip() + "..."
-            self._last_summary_error = err_text
             logging.warning(
                 "Failed to generate context summary: %s. "
                 "Further summary attempts paused for %d seconds.",
@@ -1114,21 +1058,6 @@ The user has requested that this compaction PRIORITISE preserving all informatio
 
         return max(cut_idx, head_end + 1)
 
-    # ------------------------------------------------------------------
-    # ContextEngine: manual /compress preflight
-    # ------------------------------------------------------------------
-
-    def has_content_to_compress(self, messages: List[Dict[str, Any]]) -> bool:
-        """Return True if there is a non-empty middle region to compact.
-
-        Overrides the ABC default so the gateway ``/compress`` guard can
-        skip the LLM call when the transcript is still entirely inside
-        the protected head/tail.
-        """
-        compress_start = self._align_boundary_forward(messages, self.protect_first_n)
-        compress_end = self._find_tail_cut_by_tokens(messages, compress_start)
-        return compress_start < compress_end
-
     # ------------------------------------------------------------------
     # Main compression entry point
     # ------------------------------------------------------------------
@@ -1215,13 +1144,10 @@ The user has requested that this compaction PRIORITISE preserving all informatio
         for i in range(compress_start):
             msg = messages[i].copy()
             if i == 0 and msg.get("role") == "system":
-                existing = msg.get("content")
+                existing = msg.get("content") or ""
                 _compression_note = "[Note: Some earlier conversation turns have been compacted into a handoff summary to preserve context space. The current session state may still reflect earlier work, so build on that summary and state rather than re-doing work.]"
-                if _compression_note not in _content_text_for_contains(existing):
-                    msg["content"] = _append_text_to_content(
-                        existing,
-                        "\n\n" + _compression_note if isinstance(existing, str) and existing else _compression_note,
-                    )
+                if _compression_note not in existing:
+                    msg["content"] = existing + "\n\n" + _compression_note
             compressed.append(msg)
 
         # If LLM summary failed, insert a static fallback so the model
@@ -1265,15 +1191,12 @@ The user has requested that this compaction PRIORITISE preserving all informatio
         for i in range(compress_end, n_messages):
             msg = messages[i].copy()
             if _merge_summary_into_tail and i == compress_end:
-                merged_prefix = (
+                original = msg.get("content") or ""
+                msg["content"] = (
                     summary
                     + "\n\n--- END OF CONTEXT SUMMARY — "
                     "respond to the message below, not the summary above ---\n\n"
-                )
-                msg["content"] = _append_text_to_content(
-                    msg.get("content"),
-                    merged_prefix,
-                    prepend=True,
+                    + original
                 )
                 _merge_summary_into_tail = False
             compressed.append(msg)

agent/context_engine.py

@@ -78,7 +78,6 @@ class ContextEngine(ABC):
         self,
         messages: List[Dict[str, Any]],
         current_tokens: int = None,
-        focus_topic: str = None,
     ) -> List[Dict[str, Any]]:
         """Compact the message list and return the new message list.
 
@@ -87,12 +86,6 @@ class ContextEngine(ABC):
         context budget. The implementation is free to summarize, build a
         DAG, or do anything else — as long as the returned list is a valid
         OpenAI-format message sequence.
-
-        Args:
-            focus_topic: Optional topic string from manual ``/compress <focus>``.
-                Engines that support guided compression should prioritise
-                preserving information related to this topic.  Engines that
-                don't support it may simply ignore this argument.
         """
 
     # -- Optional: pre-flight check ----------------------------------------
@@ -105,21 +98,6 @@ class ContextEngine(ABC):
         """
         return False
 
-    # -- Optional: manual /compress preflight ------------------------------
-
-    def has_content_to_compress(self, messages: List[Dict[str, Any]]) -> bool:
-        """Quick check: is there anything in ``messages`` that can be compacted?
-
-        Used by the gateway ``/compress`` command as a preflight guard —
-        returning False lets the gateway report "nothing to compress yet"
-        without making an LLM call.
-
-        Default returns True (always attempt).  Engines with a cheap way
-        to introspect their own head/tail boundaries should override this
-        to return False when the transcript is still entirely protected.
-        """
-        return True
-
     # -- Optional: session lifecycle ---------------------------------------
 
     def on_session_start(self, session_id: str, **kwargs) -> None:

agent/copilot_acp_client.py

@@ -46,47 +46,6 @@ def _resolve_args() -> list[str]:
     return shlex.split(raw)
 
 
-def _resolve_home_dir() -> str:
-    """Return a stable HOME for child ACP processes."""
-
-    try:
-        from hermes_constants import get_subprocess_home
-
-        profile_home = get_subprocess_home()
-        if profile_home:
-            return profile_home
-    except Exception:
-        pass
-
-    home = os.environ.get("HOME", "").strip()
-    if home:
-        return home
-
-    expanded = os.path.expanduser("~")
-    if expanded and expanded != "~":
-        return expanded
-
-    try:
-        import pwd
-
-        resolved = pwd.getpwuid(os.getuid()).pw_dir.strip()
-        if resolved:
-            return resolved
-    except Exception:
-        pass
-
-    # Last resort: /tmp (writable on any POSIX system). Avoids crashing the
-    # subprocess with no HOME; callers can set HERMES_HOME explicitly if they
-    # need a different writable dir.
-    return "/tmp"
-
-
-def _build_subprocess_env() -> dict[str, str]:
-    env = os.environ.copy()
-    env["HOME"] = _resolve_home_dir()
-    return env
-
-
 def _jsonrpc_error(message_id: Any, code: int, message: str) -> dict[str, Any]:
     return {
         "jsonrpc": "2.0",
@@ -423,7 +382,6 @@ class CopilotACPClient:
                 text=True,
                 bufsize=1,
                 cwd=self._acp_cwd,
-                env=_build_subprocess_env(),
             )
         except FileNotFoundError as exc:
             raise RuntimeError(

agent/credential_pool.py

@@ -14,7 +14,6 @@ from datetime import datetime
 from typing import Any, Dict, List, Optional, Set, Tuple
 
 from hermes_constants import OPENROUTER_BASE_URL
-from hermes_cli.config import get_env_value
 import hermes_cli.auth as auth_mod
 from hermes_cli.auth import (
     CODEX_ACCESS_TOKEN_REFRESH_SKEW_SECONDS,
@@ -456,61 +455,6 @@ class CredentialPool:
             logger.debug("Failed to sync from credentials file: %s", exc)
         return entry
 
-    def _sync_nous_entry_from_auth_store(self, entry: PooledCredential) -> PooledCredential:
-        """Sync a Nous pool entry from auth.json if tokens differ.
-
-        Nous OAuth refresh tokens are single-use.  When another process
-        (e.g. a concurrent cron) refreshes the token via
-        ``resolve_nous_runtime_credentials``, it writes fresh tokens to
-        auth.json under ``_auth_store_lock``.  The pool entry's tokens
-        become stale.  This method detects that and adopts the newer pair,
-        avoiding a "refresh token reuse" revocation on the Nous Portal.
-        """
-        if self.provider != "nous" or entry.source != "device_code":
-            return entry
-        try:
-            with _auth_store_lock():
-                auth_store = _load_auth_store()
-                state = _load_provider_state(auth_store, "nous")
-            if not state:
-                return entry
-            store_refresh = state.get("refresh_token", "")
-            store_access = state.get("access_token", "")
-            if store_refresh and store_refresh != entry.refresh_token:
-                logger.debug(
-                    "Pool entry %s: syncing tokens from auth.json (Nous refresh token changed)",
-                    entry.id,
-                )
-                field_updates: Dict[str, Any] = {
-                    "access_token": store_access,
-                    "refresh_token": store_refresh,
-                    "last_status": None,
-                    "last_status_at": None,
-                    "last_error_code": None,
-                }
-                if state.get("expires_at"):
-                    field_updates["expires_at"] = state["expires_at"]
-                if state.get("agent_key"):
-                    field_updates["agent_key"] = state["agent_key"]
-                if state.get("agent_key_expires_at"):
-                    field_updates["agent_key_expires_at"] = state["agent_key_expires_at"]
-                if state.get("inference_base_url"):
-                    field_updates["inference_base_url"] = state["inference_base_url"]
-                extra_updates = dict(entry.extra)
-                for extra_key in ("obtained_at", "expires_in", "agent_key_id",
-                                  "agent_key_expires_in", "agent_key_reused",
-                                  "agent_key_obtained_at"):
-                    val = state.get(extra_key)
-                    if val is not None:
-                        extra_updates[extra_key] = val
-                updated = replace(entry, extra=extra_updates, **field_updates)
-                self._replace_entry(entry, updated)
-                self._persist()
-                return updated
-        except Exception as exc:
-            logger.debug("Failed to sync Nous entry from auth.json: %s", exc)
-        return entry
-
     def _sync_device_code_entry_to_auth_store(self, entry: PooledCredential) -> None:
         """Write refreshed pool entry tokens back to auth.json providers.
 
@@ -617,9 +561,6 @@ class CredentialPool:
                     last_refresh=refreshed.get("last_refresh"),
                 )
             elif self.provider == "nous":
-                synced = self._sync_nous_entry_from_auth_store(entry)
-                if synced is not entry:
-                    entry = synced
                 nous_state = {
                     "access_token": entry.access_token,
                     "refresh_token": entry.refresh_token,
@@ -694,26 +635,6 @@ class CredentialPool:
                     # Credentials file had a valid (non-expired) token — use it directly
                     logger.debug("Credentials file has valid token, using without refresh")
                     return synced
-            # For nous: another process may have consumed the refresh token
-            # between our proactive sync and the HTTP call.  Re-sync from
-            # auth.json and adopt the fresh tokens if available.
-            if self.provider == "nous":
-                synced = self._sync_nous_entry_from_auth_store(entry)
-                if synced.refresh_token != entry.refresh_token:
-                    logger.debug("Nous refresh failed but auth.json has newer tokens — adopting")
-                    updated = replace(
-                        synced,
-                        last_status=STATUS_OK,
-                        last_status_at=None,
-                        last_error_code=None,
-                        last_error_reason=None,
-                        last_error_message=None,
-                        last_error_reset_at=None,
-                    )
-                    self._replace_entry(synced, updated)
-                    self._persist()
-                    self._sync_device_code_entry_to_auth_store(updated)
-                    return updated
             self._mark_exhausted(entry, None)
             return None
 
@@ -777,17 +698,6 @@ class CredentialPool:
                 if synced is not entry:
                     entry = synced
                     cleared_any = True
-            # For nous entries, sync from auth.json before status checks.
-            # Another process may have successfully refreshed via
-            # resolve_nous_runtime_credentials(), making this entry's
-            # exhausted status stale.
-            if (self.provider == "nous"
-                    and entry.source == "device_code"
-                    and entry.last_status == STATUS_EXHAUSTED):
-                synced = self._sync_nous_entry_from_auth_store(entry)
-                if synced is not entry:
-                    entry = synced
-                    cleared_any = True
             if entry.last_status == STATUS_EXHAUSTED:
                 exhausted_until = _exhausted_until(entry)
                 if exhausted_until is not None and now < exhausted_until:
@@ -829,11 +739,8 @@ class CredentialPool:
 
         if self._strategy == STRATEGY_LEAST_USED and len(available) > 1:
             entry = min(available, key=lambda e: e.request_count)
-            # Increment usage counter so subsequent selections distribute load
-            updated = replace(entry, request_count=entry.request_count + 1)
-            self._replace_entry(entry, updated)
             self._current_id = entry.id
-            return updated
+            return entry
 
         if self._strategy == STRATEGY_ROUND_ROBIN and len(available) > 1:
             entry = available[0]
@@ -1149,18 +1056,6 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
                     "inference_base_url": state.get("inference_base_url"),
                     "agent_key": state.get("agent_key"),
                     "agent_key_expires_at": state.get("agent_key_expires_at"),
-                    # Carry the mint/refresh timestamps into the pool so
-                    # freshness-sensitive consumers (self-heal hooks, pool
-                    # pruning by age) can distinguish just-minted credentials
-                    # from stale ones.  Without these, fresh device_code
-                    # entries get obtained_at=None and look older than they
-                    # are (#15099).
-                    "obtained_at": state.get("obtained_at"),
-                    "expires_in": state.get("expires_in"),
-                    "agent_key_id": state.get("agent_key_id"),
-                    "agent_key_expires_in": state.get("agent_key_expires_in"),
-                    "agent_key_reused": state.get("agent_key_reused"),
-                    "agent_key_obtained_at": state.get("agent_key_obtained_at"),
                     "tls": state.get("tls") if isinstance(state.get("tls"), dict) else None,
                     "label": seeded_label,
                 },
@@ -1171,10 +1066,9 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
         # env vars (COPILOT_GITHUB_TOKEN / GH_TOKEN).  They don't live in
         # the auth store or credential pool, so we resolve them here.
         try:
-            from hermes_cli.copilot_auth import resolve_copilot_token, get_copilot_api_token
+            from hermes_cli.copilot_auth import resolve_copilot_token
             token, source = resolve_copilot_token()
             if token:
-                api_token = get_copilot_api_token(token)
                 source_name = "gh_cli" if "gh" in source.lower() else f"env:{source}"
                 if not _is_suppressed(provider, source_name):
                     active_sources.add(source_name)
@@ -1186,7 +1080,7 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
                         {
                             "source": source_name,
                             "auth_type": AUTH_TYPE_API_KEY,
-                            "access_token": api_token,
+                            "access_token": token,
                             "base_url": pconfig.inference_base_url if pconfig else "",
                             "label": source,
                         },
@@ -1274,8 +1168,7 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
         def _is_source_suppressed(_p, _s):  # type: ignore[misc]
             return False
     if provider == "openrouter":
-        # Check both os.environ and ~/.hermes/.env file
-        token = (get_env_value("OPENROUTER_API_KEY") or "").strip()
+        token = os.getenv("OPENROUTER_API_KEY", "").strip()
         if token:
             source = "env:OPENROUTER_API_KEY"
             if _is_source_suppressed(provider, source):
@@ -1301,7 +1194,7 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
 
     env_url = ""
     if pconfig.base_url_env_var:
-        env_url = (get_env_value(pconfig.base_url_env_var) or "").strip().rstrip("/")
+        env_url = os.getenv(pconfig.base_url_env_var, "").strip().rstrip("/")
 
     env_vars = list(pconfig.api_key_env_vars)
     if provider == "anthropic":
@@ -1312,8 +1205,7 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
         ]
 
     for env_var in env_vars:
-        # Check both os.environ and ~/.hermes/.env file
-        token = (get_env_value(env_var) or "").strip()
+        token = os.getenv(env_var, "").strip()
         if not token:
             continue
         source = f"env:{env_var}"

agent/error_classifier.py

@@ -45,7 +45,6 @@ class FailoverReason(enum.Enum):
 
     # Model
     model_not_found = "model_not_found"  # 404 or invalid model — fallback to different model
-    provider_policy_blocked = "provider_policy_blocked"  # Aggregator (e.g. OpenRouter) blocked the only endpoint due to account data/privacy policy
 
     # Request format
     format_error = "format_error"        # 400 bad request — abort or strip + retry
@@ -195,29 +194,6 @@ _MODEL_NOT_FOUND_PATTERNS = [
     "unsupported model",
 ]
 
-# OpenRouter aggregator policy-block patterns.
-#
-# When a user's OpenRouter account privacy setting (or a per-request
-# `provider.data_collection: deny` preference) excludes the only endpoint
-# serving a model, OpenRouter returns 404 with a *specific* message that is
-# distinct from "model not found":
-#
-#   "No endpoints available matching your guardrail restrictions and
-#    data policy. Configure: https://openrouter.ai/settings/privacy"
-#
-# We classify this as `provider_policy_blocked` rather than
-# `model_not_found` because:
-#   - The model *exists* — model_not_found is misleading in logs
-#   - Provider fallback won't help: the account-level setting applies to
-#     every call on the same OpenRouter account
-#   - The error body already contains the fix URL, so the user gets
-#     actionable guidance without us rewriting the message
-_PROVIDER_POLICY_BLOCKED_PATTERNS = [
-    "no endpoints available matching your guardrail",
-    "no endpoints available matching your data policy",
-    "no endpoints found matching your data policy",
-]
-
 # Auth patterns (non-status-code signals)
 _AUTH_PATTERNS = [
     "invalid api key",
@@ -244,25 +220,12 @@ _TRANSPORT_ERROR_TYPES = frozenset({
     "ConnectionAbortedError", "BrokenPipeError",
     "TimeoutError", "ReadError",
     "ServerDisconnectedError",
-    # SSL/TLS transport errors — transient mid-stream handshake/record
-    # failures that should retry rather than surface as a stalled session.
-    # ssl.SSLError subclasses OSError (caught by isinstance) but we list
-    # the type names here so provider-wrapped SSL errors (e.g. when the
-    # SDK re-raises without preserving the exception chain) still classify
-    # as transport rather than falling through to the unknown bucket.
-    "SSLError", "SSLZeroReturnError", "SSLWantReadError",
-    "SSLWantWriteError", "SSLEOFError", "SSLSyscallError",
     # OpenAI SDK errors (not subclasses of Python builtins)
     "APIConnectionError",
     "APITimeoutError",
 })
 
-# Server disconnect patterns (no status code, but transport-level).
-# These are the "ambiguous" patterns — a plain connection close could be
-# transient transport hiccup OR server-side context overflow rejection
-# (common when the API gateway disconnects instead of returning an HTTP
-# error for oversized requests).  A large session + one of these patterns
-# triggers the context-overflow-with-compression recovery path.
+# Server disconnect patterns (no status code, but transport-level)
 _SERVER_DISCONNECT_PATTERNS = [
     "server disconnected",
     "peer closed connection",
@@ -273,40 +236,6 @@ _SERVER_DISCONNECT_PATTERNS = [
     "incomplete chunked read",
 ]
 
-# SSL/TLS transient failure patterns — intentionally distinct from
-# _SERVER_DISCONNECT_PATTERNS above.
-#
-# An SSL alert mid-stream is almost always a transport-layer hiccup
-# (flaky network, mid-session TLS renegotiation failure, load balancer
-# dropping the connection) — NOT a server-side context overflow signal.
-# So we want the retry path but NOT the compression path; lumping these
-# into _SERVER_DISCONNECT_PATTERNS would trigger unnecessary (and
-# expensive) context compression on any large-session SSL hiccup.
-#
-# The OpenSSL library constructs error codes by prepending a format string
-# to the uppercased alert reason; OpenSSL 3.x changed the separator
-# (e.g. `SSLV3_ALERT_BAD_RECORD_MAC` → `SSL/TLS_ALERT_BAD_RECORD_MAC`),
-# which silently stopped matching anything explicit.  Matching on the
-# stable substrings (`bad record mac`, `ssl alert`, `tls alert`, etc.)
-# survives future OpenSSL format churn without code changes.
-_SSL_TRANSIENT_PATTERNS = [
-    # Space-separated (human-readable form, Python ssl module, most SDKs)
-    "bad record mac",
-    "ssl alert",
-    "tls alert",
-    "ssl handshake failure",
-    "tlsv1 alert",
-    "sslv3 alert",
-    # Underscore-separated (OpenSSL error code tokens, e.g.
-    # `ERR_SSL_SSL/TLS_ALERT_BAD_RECORD_MAC`, `SSLV3_ALERT_BAD_RECORD_MAC`)
-    "bad_record_mac",
-    "ssl_alert",
-    "tls_alert",
-    "tls_alert_internal_error",
-    # Python ssl module prefix, e.g. "[SSL: BAD_RECORD_MAC]"
-    "[ssl:",
-]
-
 
 # ── Classification pipeline ─────────────────────────────────────────────
 
@@ -326,10 +255,9 @@ def classify_api_error(
       2. HTTP status code + message-aware refinement
       3. Error code classification (from body)
       4. Message pattern matching (billing vs rate_limit vs context vs auth)
-      5. SSL/TLS transient alert patterns → retry as timeout
+      5. Transport error heuristics
       6. Server disconnect + large session → context overflow
-      7. Transport error heuristics
-      8. Fallback: unknown (retryable with backoff)
+      7. Fallback: unknown (retryable with backoff)
 
     Args:
         error: The exception from the API call.
@@ -343,11 +271,6 @@ def classify_api_error(
     """
     status_code = _extract_status_code(error)
     error_type = type(error).__name__
-    # Copilot/GitHub Models RateLimitError may not set .status_code; force 429
-    # so downstream rate-limit handling (classifier reason, pool rotation,
-    # fallback gating) fires correctly instead of misclassifying as generic.
-    if status_code is None and error_type == "RateLimitError":
-        status_code = 429
     body = _extract_error_body(error)
     error_code = _extract_error_code(body)
 
@@ -465,18 +388,7 @@ def classify_api_error(
     if classified is not None:
         return classified
 
-    # ── 5. SSL/TLS transient errors → retry as timeout (not compression) ──
-    # SSL alerts mid-stream are transport hiccups, not server-side context
-    # overflow signals.  Classify before the disconnect check so a large
-    # session doesn't incorrectly trigger context compression when the real
-    # cause is a flaky TLS handshake.  Also matches when the error is
-    # wrapped in a generic exception whose message string carries the SSL
-    # alert text but the type isn't ssl.SSLError (happens with some SDKs
-    # that re-raise without chaining).
-    if any(p in error_msg for p in _SSL_TRANSIENT_PATTERNS):
-        return _result(FailoverReason.timeout, retryable=True)
-
-    # ── 6. Server disconnect + large session → context overflow ─────
+    # ── 5. Server disconnect + large session → context overflow ─────
     # Must come BEFORE generic transport error catch — a disconnect on
     # a large session is more likely context overflow than a transient
     # transport hiccup.  Without this ordering, RemoteProtocolError
@@ -493,12 +405,12 @@ def classify_api_error(
             )
         return _result(FailoverReason.timeout, retryable=True)
 
-    # ── 7. Transport / timeout heuristics ───────────────────────────
+    # ── 6. Transport / timeout heuristics ───────────────────────────
 
     if error_type in _TRANSPORT_ERROR_TYPES or isinstance(error, (TimeoutError, ConnectionError, OSError)):
         return _result(FailoverReason.timeout, retryable=True)
 
-    # ── 8. Fallback: unknown ────────────────────────────────────────
+    # ── 7. Fallback: unknown ────────────────────────────────────────
 
     return _result(FailoverReason.unknown, retryable=True)
 
@@ -552,33 +464,17 @@ def _classify_by_status(
         return _classify_402(error_msg, result_fn)
 
     if status_code == 404:
-        # OpenRouter policy-block 404 — distinct from "model not found".
-        # The model exists; the user's account privacy setting excludes the
-        # only endpoint serving it. Falling back to another provider won't
-        # help (same account setting applies).  The error body already
-        # contains the fix URL, so just surface it.
-        if any(p in error_msg for p in _PROVIDER_POLICY_BLOCKED_PATTERNS):
-            return result_fn(
-                FailoverReason.provider_policy_blocked,
-                retryable=False,
-                should_fallback=False,
-            )
         if any(p in error_msg for p in _MODEL_NOT_FOUND_PATTERNS):
             return result_fn(
                 FailoverReason.model_not_found,
                 retryable=False,
                 should_fallback=True,
             )
-        # Generic 404 with no "model not found" signal — could be a wrong
-        # endpoint path (common with local llama.cpp / Ollama / vLLM when
-        # the URL is slightly misconfigured), a proxy routing glitch, or
-        # a transient backend issue.  Classifying these as model_not_found
-        # silently falls back to a different provider and tells the model
-        # the model is missing, which is wrong and wastes a turn.  Treat
-        # as unknown so the retry loop surfaces the real error instead.
+        # Generic 404 — could be model or endpoint
         return result_fn(
-            FailoverReason.unknown,
-            retryable=True,
+            FailoverReason.model_not_found,
+            retryable=False,
+            should_fallback=True,
         )
 
     if status_code == 413:
@@ -680,12 +576,6 @@ def _classify_400(
         )
 
     # Some providers return model-not-found as 400 instead of 404 (e.g. OpenRouter).
-    if any(p in error_msg for p in _PROVIDER_POLICY_BLOCKED_PATTERNS):
-        return result_fn(
-            FailoverReason.provider_policy_blocked,
-            retryable=False,
-            should_fallback=False,
-        )
     if any(p in error_msg for p in _MODEL_NOT_FOUND_PATTERNS):
         return result_fn(
             FailoverReason.model_not_found,
@@ -858,15 +748,6 @@ def _classify_by_message(
             should_fallback=True,
         )
 
-    # Provider policy-block (aggregator-side guardrail) — check before
-    # model_not_found so we don't mis-label as a missing model.
-    if any(p in error_msg for p in _PROVIDER_POLICY_BLOCKED_PATTERNS):
-        return result_fn(
-            FailoverReason.provider_policy_blocked,
-            retryable=False,
-            should_fallback=False,
-        )
-
     # Model not found patterns
     if any(p in error_msg for p in _MODEL_NOT_FOUND_PATTERNS):
         return result_fn(

agent/gemini_native_adapter.py

@@ -44,97 +44,6 @@ def is_native_gemini_base_url(base_url: str) -> bool:
     return not normalized.endswith("/openai")
 
 
-def probe_gemini_tier(
-    api_key: str,
-    base_url: str = DEFAULT_GEMINI_BASE_URL,
-    *,
-    model: str = "gemini-2.5-flash",
-    timeout: float = 10.0,
-) -> str:
-    """Probe a Google AI Studio API key and return its tier.
-
-    Returns one of:
-
-    - ``"free"``    -- key is on the free tier (unusable with Hermes)
-    - ``"paid"``    -- key is on a paid tier
-    - ``"unknown"`` -- probe failed; callers should proceed without blocking.
-    """
-    key = (api_key or "").strip()
-    if not key:
-        return "unknown"
-
-    normalized_base = str(base_url or DEFAULT_GEMINI_BASE_URL).strip().rstrip("/")
-    if not normalized_base:
-        normalized_base = DEFAULT_GEMINI_BASE_URL
-    if normalized_base.lower().endswith("/openai"):
-        normalized_base = normalized_base[: -len("/openai")]
-
-    url = f"{normalized_base}/models/{model}:generateContent"
-    payload = {
-        "contents": [{"role": "user", "parts": [{"text": "hi"}]}],
-        "generationConfig": {"maxOutputTokens": 1},
-    }
-
-    try:
-        with httpx.Client(timeout=timeout) as client:
-            resp = client.post(
-                url,
-                params={"key": key},
-                json=payload,
-                headers={"Content-Type": "application/json"},
-            )
-    except Exception as exc:
-        logger.debug("probe_gemini_tier: network error: %s", exc)
-        return "unknown"
-
-    headers_lower = {k.lower(): v for k, v in resp.headers.items()}
-    rpd_header = headers_lower.get("x-ratelimit-limit-requests-per-day")
-    if rpd_header:
-        try:
-            rpd_val = int(rpd_header)
-        except (TypeError, ValueError):
-            rpd_val = None
-        # Published free-tier daily caps (Dec 2025):
-        #   gemini-2.5-pro: 100, gemini-2.5-flash: 250, flash-lite: 1000
-        # Tier 1 starts at ~1500+ for Flash. We treat <= 1000 as free.
-        if rpd_val is not None and rpd_val <= 1000:
-            return "free"
-        if rpd_val is not None and rpd_val > 1000:
-            return "paid"
-
-    if resp.status_code == 429:
-        body_text = ""
-        try:
-            body_text = resp.text or ""
-        except Exception:
-            body_text = ""
-        if "free_tier" in body_text.lower():
-            return "free"
-        return "paid"
-
-    if 200 <= resp.status_code < 300:
-        return "paid"
-
-    return "unknown"
-
-
-def is_free_tier_quota_error(error_message: str) -> bool:
-    """Return True when a Gemini 429 message indicates free-tier exhaustion."""
-    if not error_message:
-        return False
-    return "free_tier" in error_message.lower()
-
-
-_FREE_TIER_GUIDANCE = (
-    "\n\nYour Google API key is on the free tier (<= 250 requests/day for "
-    "gemini-2.5-flash). Hermes typically makes 3-10 API calls per user turn, "
-    "so the free tier is exhausted in a handful of messages and cannot sustain "
-    "an agent session. Enable billing on your Google Cloud project and "
-    "regenerate the key in a billing-enabled project: "
-    "https://aistudio.google.com/apikey"
-)
-
-
 class GeminiAPIError(Exception):
     """Error shape compatible with Hermes retry/error classification."""
 
@@ -741,12 +650,6 @@ def gemini_http_error(response: httpx.Response) -> GeminiAPIError:
     else:
         message = f"Gemini returned HTTP {status}: {body_text[:500]}"
 
-    # Free-tier quota exhaustion -> append actionable guidance so users who
-    # bypassed the setup wizard (direct GOOGLE_API_KEY in .env) still learn
-    # that the free tier cannot sustain an agent session.
-    if status == 429 and is_free_tier_quota_error(err_message or body_text):
-        message = message + _FREE_TIER_GUIDANCE
-
     return GeminiAPIError(
         message,
         code=code,
@@ -801,13 +704,6 @@ class GeminiNativeClient:
         http_client: Optional[httpx.Client] = None,
         **_: Any,
     ) -> None:
-        if not (api_key or "").strip():
-            raise RuntimeError(
-                "Gemini native client requires an API key, but none was provided. "
-                "Set GOOGLE_API_KEY or GEMINI_API_KEY in your environment / ~/.hermes/.env "
-                "(get one at https://aistudio.google.com/app/apikey), or run `hermes setup` "
-                "to configure the Google provider."
-            )
         self.api_key = api_key
         normalized_base = (base_url or DEFAULT_GEMINI_BASE_URL).rstrip("/")
         if normalized_base.endswith("/openai"):

agent/gemini_schema.py

@@ -73,20 +73,6 @@ def sanitize_gemini_schema(schema: Any) -> Dict[str, Any]:
             ]
             continue
         cleaned[key] = value
-
-    # Gemini's Schema validator requires every ``enum`` entry to be a string,
-    # even when the parent ``type`` is ``integer`` / ``number`` / ``boolean``.
-    # OpenAI / OpenRouter / Anthropic accept typed enums (e.g. Discord's
-    # ``auto_archive_duration: {type: integer, enum: [60, 1440, 4320, 10080]}``),
-    # so we only drop the ``enum`` when it would collide with Gemini's rule.
-    # Keeping ``type: integer`` plus the human-readable description gives the
-    # model enough guidance; the tool handler still validates the value.
-    enum_val = cleaned.get("enum")
-    type_val = cleaned.get("type")
-    if isinstance(enum_val, list) and type_val in {"integer", "number", "boolean"}:
-        if any(not isinstance(item, str) for item in enum_val):
-            cleaned.pop("enum", None)
-
     return cleaned
 
 

agent/image_gen_provider.py

@@ -1,242 +0,0 @@
-"""
-Image Generation Provider ABC
-=============================
-
-Defines the pluggable-backend interface for image generation. Providers register
-instances via ``PluginContext.register_image_gen_provider()``; the active one
-(selected via ``image_gen.provider`` in ``config.yaml``) services every
-``image_generate`` tool call.
-
-Providers live in ``<repo>/plugins/image_gen/<name>/`` (built-in, auto-loaded
-as ``kind: backend``) or ``~/.hermes/plugins/image_gen/<name>/`` (user, opt-in
-via ``plugins.enabled``).
-
-Response shape
---------------
-All providers return a dict that :func:`success_response` / :func:`error_response`
-produce. The tool wrapper JSON-serializes it. Keys:
-
-    success        bool
-    image          str | None       URL or absolute file path
-    model          str              provider-specific model identifier
-    prompt         str              echoed prompt
-    aspect_ratio   str              "landscape" | "square" | "portrait"
-    provider       str              provider name (for diagnostics)
-    error          str              only when success=False
-    error_type     str              only when success=False
-"""
-
-from __future__ import annotations
-
-import abc
-import base64
-import datetime
-import logging
-import uuid
-from pathlib import Path
-from typing import Any, Dict, List, Optional, Tuple
-
-logger = logging.getLogger(__name__)
-
-
-VALID_ASPECT_RATIOS: Tuple[str, ...] = ("landscape", "square", "portrait")
-DEFAULT_ASPECT_RATIO = "landscape"
-
-
-# ---------------------------------------------------------------------------
-# ABC
-# ---------------------------------------------------------------------------
-
-
-class ImageGenProvider(abc.ABC):
-    """Abstract base class for an image generation backend.
-
-    Subclasses must implement :meth:`generate`. Everything else has sane
-    defaults — override only what your provider needs.
-    """
-
-    @property
-    @abc.abstractmethod
-    def name(self) -> str:
-        """Stable short identifier used in ``image_gen.provider`` config.
-
-        Lowercase, no spaces. Examples: ``fal``, ``openai``, ``replicate``.
-        """
-
-    @property
-    def display_name(self) -> str:
-        """Human-readable label shown in ``hermes tools``. Defaults to ``name.title()``."""
-        return self.name.title()
-
-    def is_available(self) -> bool:
-        """Return True when this provider can service calls.
-
-        Typically checks for a required API key. Default: True
-        (providers with no external dependencies are always available).
-        """
-        return True
-
-    def list_models(self) -> List[Dict[str, Any]]:
-        """Return catalog entries for ``hermes tools`` model picker.
-
-        Each entry::
-
-            {
-                "id": "gpt-image-1.5",               # required
-                "display": "GPT Image 1.5",          # optional; defaults to id
-                "speed": "~10s",                     # optional
-                "strengths": "...",                  # optional
-                "price": "$...",                     # optional
-            }
-
-        Default: empty list (provider has no user-selectable models).
-        """
-        return []
-
-    def get_setup_schema(self) -> Dict[str, Any]:
-        """Return provider metadata for the ``hermes tools`` picker.
-
-        Used by ``tools_config.py`` to inject this provider as a row in
-        the Image Generation provider list. Shape::
-
-            {
-                "name": "OpenAI",                     # picker label
-                "badge": "paid",                      # optional short tag
-                "tag": "One-line description...",     # optional subtitle
-                "env_vars": [                         # keys to prompt for
-                    {"key": "OPENAI_API_KEY",
-                     "prompt": "OpenAI API key",
-                     "url": "https://platform.openai.com/api-keys"},
-                ],
-            }
-
-        Default: minimal entry derived from ``display_name``. Override to
-        expose API key prompts and custom badges.
-        """
-        return {
-            "name": self.display_name,
-            "badge": "",
-            "tag": "",
-            "env_vars": [],
-        }
-
-    def default_model(self) -> Optional[str]:
-        """Return the default model id, or None if not applicable."""
-        models = self.list_models()
-        if models:
-            return models[0].get("id")
-        return None
-
-    @abc.abstractmethod
-    def generate(
-        self,
-        prompt: str,
-        aspect_ratio: str = DEFAULT_ASPECT_RATIO,
-        **kwargs: Any,
-    ) -> Dict[str, Any]:
-        """Generate an image.
-
-        Implementations should return the dict from :func:`success_response`
-        or :func:`error_response`. ``kwargs`` may contain forward-compat
-        parameters future versions of the schema will expose — implementations
-        should ignore unknown keys.
-        """
-
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-def resolve_aspect_ratio(value: Optional[str]) -> str:
-    """Clamp an aspect_ratio value to the valid set, defaulting to landscape.
-
-    Invalid values are coerced rather than rejected so the tool surface is
-    forgiving of agent mistakes.
-    """
-    if not isinstance(value, str):
-        return DEFAULT_ASPECT_RATIO
-    v = value.strip().lower()
-    if v in VALID_ASPECT_RATIOS:
-        return v
-    return DEFAULT_ASPECT_RATIO
-
-
-def _images_cache_dir() -> Path:
-    """Return ``$HERMES_HOME/cache/images/``, creating parents as needed."""
-    from hermes_constants import get_hermes_home
-
-    path = get_hermes_home() / "cache" / "images"
-    path.mkdir(parents=True, exist_ok=True)
-    return path
-
-
-def save_b64_image(
-    b64_data: str,
-    *,
-    prefix: str = "image",
-    extension: str = "png",
-) -> Path:
-    """Decode base64 image data and write it under ``$HERMES_HOME/cache/images/``.
-
-    Returns the absolute :class:`Path` to the saved file.
-
-    Filename format: ``<prefix>_<YYYYMMDD_HHMMSS>_<short-uuid>.<ext>``.
-    """
-    raw = base64.b64decode(b64_data)
-    ts = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
-    short = uuid.uuid4().hex[:8]
-    path = _images_cache_dir() / f"{prefix}_{ts}_{short}.{extension}"
-    path.write_bytes(raw)
-    return path
-
-
-def success_response(
-    *,
-    image: str,
-    model: str,
-    prompt: str,
-    aspect_ratio: str,
-    provider: str,
-    extra: Optional[Dict[str, Any]] = None,
-) -> Dict[str, Any]:
-    """Build a uniform success response dict.
-
-    ``image`` may be an HTTP URL or an absolute filesystem path (for b64
-    providers like OpenAI). Callers that need to pass through additional
-    backend-specific fields can supply ``extra``.
-    """
-    payload: Dict[str, Any] = {
-        "success": True,
-        "image": image,
-        "model": model,
-        "prompt": prompt,
-        "aspect_ratio": aspect_ratio,
-        "provider": provider,
-    }
-    if extra:
-        for k, v in extra.items():
-            payload.setdefault(k, v)
-    return payload
-
-
-def error_response(
-    *,
-    error: str,
-    error_type: str = "provider_error",
-    provider: str = "",
-    model: str = "",
-    prompt: str = "",
-    aspect_ratio: str = DEFAULT_ASPECT_RATIO,
-) -> Dict[str, Any]:
-    """Build a uniform error response dict."""
-    return {
-        "success": False,
-        "image": None,
-        "error": error,
-        "error_type": error_type,
-        "model": model,
-        "prompt": prompt,
-        "aspect_ratio": aspect_ratio,
-        "provider": provider,
-    }

agent/image_gen_registry.py

@@ -1,120 +0,0 @@
-"""
-Image Generation Provider Registry
-==================================
-
-Central map of registered providers. Populated by plugins at import-time via
-``PluginContext.register_image_gen_provider()``; consumed by the
-``image_generate`` tool to dispatch each call to the active backend.
-
-Active selection
-----------------
-The active provider is chosen by ``image_gen.provider`` in ``config.yaml``.
-If unset, :func:`get_active_provider` applies fallback logic:
-
-1. If exactly one provider is registered, use it.
-2. Otherwise if a provider named ``fal`` is registered, use it (legacy
-   default — matches pre-plugin behavior).
-3. Otherwise return ``None`` (the tool surfaces a helpful error pointing
-   the user at ``hermes tools``).
-"""
-
-from __future__ import annotations
-
-import logging
-import threading
-from typing import Dict, List, Optional
-
-from agent.image_gen_provider import ImageGenProvider
-
-logger = logging.getLogger(__name__)
-
-
-_providers: Dict[str, ImageGenProvider] = {}
-_lock = threading.Lock()
-
-
-def register_provider(provider: ImageGenProvider) -> None:
-    """Register an image generation provider.
-
-    Re-registration (same ``name``) overwrites the previous entry and logs
-    a debug message — this makes hot-reload scenarios (tests, dev loops)
-    behave predictably.
-    """
-    if not isinstance(provider, ImageGenProvider):
-        raise TypeError(
-            f"register_provider() expects an ImageGenProvider instance, "
-            f"got {type(provider).__name__}"
-        )
-    name = provider.name
-    if not isinstance(name, str) or not name.strip():
-        raise ValueError("Image gen provider .name must be a non-empty string")
-    with _lock:
-        existing = _providers.get(name)
-        _providers[name] = provider
-    if existing is not None:
-        logger.debug("Image gen provider '%s' re-registered (was %r)", name, type(existing).__name__)
-    else:
-        logger.debug("Registered image gen provider '%s' (%s)", name, type(provider).__name__)
-
-
-def list_providers() -> List[ImageGenProvider]:
-    """Return all registered providers, sorted by name."""
-    with _lock:
-        items = list(_providers.values())
-    return sorted(items, key=lambda p: p.name)
-
-
-def get_provider(name: str) -> Optional[ImageGenProvider]:
-    """Return the provider registered under *name*, or None."""
-    if not isinstance(name, str):
-        return None
-    with _lock:
-        return _providers.get(name.strip())
-
-
-def get_active_provider() -> Optional[ImageGenProvider]:
-    """Resolve the currently-active provider.
-
-    Reads ``image_gen.provider`` from config.yaml; falls back per the
-    module docstring.
-    """
-    configured: Optional[str] = None
-    try:
-        from hermes_cli.config import load_config
-
-        cfg = load_config()
-        section = cfg.get("image_gen") if isinstance(cfg, dict) else None
-        if isinstance(section, dict):
-            raw = section.get("provider")
-            if isinstance(raw, str) and raw.strip():
-                configured = raw.strip()
-    except Exception as exc:
-        logger.debug("Could not read image_gen.provider from config: %s", exc)
-
-    with _lock:
-        snapshot = dict(_providers)
-
-    if configured:
-        provider = snapshot.get(configured)
-        if provider is not None:
-            return provider
-        logger.debug(
-            "image_gen.provider='%s' configured but not registered; falling back",
-            configured,
-        )
-
-    # Fallback: single-provider case
-    if len(snapshot) == 1:
-        return next(iter(snapshot.values()))
-
-    # Fallback: prefer legacy FAL for backward compat
-    if "fal" in snapshot:
-        return snapshot["fal"]
-
-    return None
-
-
-def _reset_for_tests() -> None:
-    """Clear the registry. **Test-only.**"""
-    with _lock:
-        _providers.clear()

agent/memory_manager.py

@@ -31,7 +31,6 @@ from __future__ import annotations
 import json
 import logging
 import re
-import inspect
 from typing import Any, Dict, List, Optional
 
 from agent.memory_provider import MemoryProvider
@@ -313,39 +312,7 @@ class MemoryManager:
                 )
         return "\n\n".join(parts)
 
-    @staticmethod
-    def _provider_memory_write_metadata_mode(provider: MemoryProvider) -> str:
-        """Return how to pass metadata to a provider's memory-write hook."""
-        try:
-            signature = inspect.signature(provider.on_memory_write)
-        except (TypeError, ValueError):
-            return "keyword"
-
-        params = list(signature.parameters.values())
-        if any(p.kind == inspect.Parameter.VAR_KEYWORD for p in params):
-            return "keyword"
-        if "metadata" in signature.parameters:
-            return "keyword"
-
-        accepted = [
-            p for p in params
-            if p.kind in (
-                inspect.Parameter.POSITIONAL_ONLY,
-                inspect.Parameter.POSITIONAL_OR_KEYWORD,
-                inspect.Parameter.KEYWORD_ONLY,
-            )
-        ]
-        if len(accepted) >= 4:
-            return "positional"
-        return "legacy"
-
-    def on_memory_write(
-        self,
-        action: str,
-        target: str,
-        content: str,
-        metadata: Optional[Dict[str, Any]] = None,
-    ) -> None:
+    def on_memory_write(self, action: str, target: str, content: str) -> None:
         """Notify external providers when the built-in memory tool writes.
 
         Skips the builtin provider itself (it's the source of the write).
@@ -354,15 +321,7 @@ class MemoryManager:
             if provider.name == "builtin":
                 continue
             try:
-                metadata_mode = self._provider_memory_write_metadata_mode(provider)
-                if metadata_mode == "keyword":
-                    provider.on_memory_write(
-                        action, target, content, metadata=dict(metadata or {})
-                    )
-                elif metadata_mode == "positional":
-                    provider.on_memory_write(action, target, content, dict(metadata or {}))
-                else:
-                    provider.on_memory_write(action, target, content)
+                provider.on_memory_write(action, target, content)
             except Exception as e:
                 logger.debug(
                     "Memory provider '%s' on_memory_write failed: %s",

agent/memory_provider.py

@@ -26,7 +26,7 @@ Optional hooks (override to opt in):
   on_turn_start(turn, message, **kwargs) — per-turn tick with runtime context
   on_session_end(messages)               — end-of-session extraction
   on_pre_compress(messages) -> str       — extract before context compression
-  on_memory_write(action, target, content, metadata=None) — mirror built-in memory writes
+  on_memory_write(action, target, content) — mirror built-in memory writes
   on_delegation(task, result, **kwargs)  — parent-side observation of subagent work
 """
 
@@ -34,7 +34,7 @@ from __future__ import annotations
 
 import logging
 from abc import ABC, abstractmethod
-from typing import Any, Dict, List, Optional
+from typing import Any, Dict, List
 
 logger = logging.getLogger(__name__)
 
@@ -220,21 +220,12 @@ class MemoryProvider(ABC):
           should all have ``env_var`` set and this method stays no-op).
         """
 
-    def on_memory_write(
-        self,
-        action: str,
-        target: str,
-        content: str,
-        metadata: Optional[Dict[str, Any]] = None,
-    ) -> None:
+    def on_memory_write(self, action: str, target: str, content: str) -> None:
         """Called when the built-in memory tool writes an entry.
 
         action: 'add', 'replace', or 'remove'
         target: 'memory' or 'user'
         content: the entry content
-        metadata: structured provenance for the write, when available. Common
-          keys include ``write_origin``, ``execution_context``, ``session_id``,
-          ``parent_session_id``, ``platform``, and ``tool_name``.
 
         Use to mirror built-in memory writes to your backend.
         """

agent/model_metadata.py

@@ -4,9 +4,7 @@ Pure utility functions with no AIAgent dependency. Used by ContextCompressor
 and run_agent.py for pre-flight context checks.
 """
 
-import ipaddress
 import logging
-import os
 import re
 import time
 from pathlib import Path
@@ -22,31 +20,12 @@ from hermes_constants import OPENROUTER_MODELS_URL
 
 logger = logging.getLogger(__name__)
 
-
-def _resolve_requests_verify() -> bool | str:
-    """Resolve SSL verify setting for `requests` calls from env vars.
-
-    The `requests` library only honours REQUESTS_CA_BUNDLE / CURL_CA_BUNDLE
-    by default. Hermes also honours HERMES_CA_BUNDLE (its own convention)
-    and SSL_CERT_FILE (used by the stdlib `ssl` module and by httpx), so
-    that a single env var can cover both `requests` and `httpx` callsites
-    inside the same process.
-
-    Returns either a filesystem path to a CA bundle, or True to defer to
-    the requests default (certifi).
-    """
-    for env_var in ("HERMES_CA_BUNDLE", "REQUESTS_CA_BUNDLE", "SSL_CERT_FILE"):
-        val = os.getenv(env_var)
-        if val and os.path.isfile(val):
-            return val
-    return True
-
 # Provider names that can appear as a "provider:" prefix before a model ID.
 # Only these are stripped — Ollama-style "model:tag" colons (e.g. "qwen3.5:27b")
 # are preserved so the full model name reaches cache lookups and server queries.
 _PROVIDER_PREFIXES: frozenset[str] = frozenset({
     "openrouter", "nous", "openai-codex", "copilot", "copilot-acp",
-    "gemini", "ollama-cloud", "zai", "kimi-coding", "kimi-coding-cn", "stepfun", "minimax", "minimax-cn", "anthropic", "deepseek",
+    "gemini", "ollama-cloud", "zai", "kimi-coding", "kimi-coding-cn", "minimax", "minimax-cn", "anthropic", "deepseek",
     "opencode-zen", "opencode-go", "ai-gateway", "kilocode", "alibaba",
     "qwen-oauth",
     "xiaomi",
@@ -57,7 +36,7 @@ _PROVIDER_PREFIXES: frozenset[str] = frozenset({
     "glm", "z-ai", "z.ai", "zhipu", "github", "github-copilot",
     "github-models", "kimi", "moonshot", "kimi-cn", "moonshot-cn", "claude", "deep-seek",
     "ollama",
-    "stepfun", "opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
+    "opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
     "mimo", "xiaomi-mimo",
     "arcee-ai", "arceeai",
     "xai", "x-ai", "x.ai", "grok",
@@ -72,13 +51,6 @@ _OLLAMA_TAG_PATTERN = re.compile(
 )
 
 
-# Tailscale's CGNAT range (RFC 6598). `ipaddress.is_private` excludes this
-# block, so without an explicit check Ollama reached over Tailscale (e.g.
-# `http://100.77.243.5:11434`) wouldn't be treated as local and its stream
-# read / stale timeouts wouldn't get auto-bumped. Built once at import time.
-_TAILSCALE_CGNAT = ipaddress.IPv4Network("100.64.0.0/10")
-
-
 def _strip_provider_prefix(model: str) -> str:
     """Strip a recognised provider prefix from a model string.
 
@@ -106,11 +78,9 @@ _endpoint_model_metadata_cache_time: Dict[str, float] = {}
 _ENDPOINT_MODEL_CACHE_TTL = 300
 
 # Descending tiers for context length probing when the model is unknown.
-# We start at 256K (covers GPT-5.x, many current large-context models) and
-# step down on context-length errors until one works.  Tier[0] is also the
-# default fallback when no detection method succeeds.
+# We start at 128K (a safe default for most modern models) and step down
+# on context-length errors until one works.
 CONTEXT_PROBE_TIERS = [
-    256_000,
     128_000,
     64_000,
     32_000,
@@ -145,11 +115,6 @@ DEFAULT_CONTEXT_LENGTHS = {
     "claude": 200000,
     # OpenAI — GPT-5 family (most have 400k; specific overrides first)
     # Source: https://developers.openai.com/api/docs/models
-    # GPT-5.5 (launched Apr 23 2026) is 1.05M on the direct OpenAI API and
-    # ChatGPT Codex OAuth caps it at 272K; both paths resolve via their own
-    # provider-aware branches (_resolve_codex_oauth_context_length + models.dev).
-    # This hardcoded value is only reached when every probe misses.
-    "gpt-5.5": 1050000,
     "gpt-5.4-nano": 400000,           # 400k (not 1.05M like full 5.4)
     "gpt-5.4-mini": 400000,           # 400k (not 1.05M like full 5.4)
     "gpt-5.4": 1050000,               # GPT-5.4, GPT-5.4 Pro (1.05M context)
@@ -160,22 +125,10 @@ DEFAULT_CONTEXT_LENGTHS = {
     # Google
     "gemini": 1048576,
     # Gemma (open models served via AI Studio)
-    "gemma-4": 256000,  # Gemma 4 family
-    "gemma4": 256000,  # Ollama-style naming (e.g. gemma4:31b-cloud)
     "gemma-4-31b": 256000,
     "gemma-3": 131072,
     "gemma": 8192,  # fallback for older gemma models
-    # DeepSeek — V4 family ships with a 1M context window. The legacy
-    # aliases ``deepseek-chat`` / ``deepseek-reasoner`` are server-side
-    # mapped to the non-thinking / thinking modes of ``deepseek-v4-flash``
-    # and inherit the same 1M window. The ``deepseek`` substring entry
-    # below remains as a 128K fallback for older / unknown DeepSeek model
-    # ids (e.g. via custom endpoints).
-    # https://api-docs.deepseek.com/zh-cn/quick_start/pricing
-    "deepseek-v4-pro": 1_000_000,
-    "deepseek-v4-flash": 1_000_000,
-    "deepseek-chat": 1_000_000,
-    "deepseek-reasoner": 1_000_000,
+    # DeepSeek
     "deepseek": 128000,
     # Meta
     "llama": 131072,
@@ -220,12 +173,10 @@ DEFAULT_CONTEXT_LENGTHS = {
     "moonshotai/Kimi-K2.6": 262144,
     "moonshotai/Kimi-K2-Thinking": 262144,
     "MiniMaxAI/MiniMax-M2.5": 204800,
-    "XiaomiMiMo/MiMo-V2-Flash": 262144,
-    "mimo-v2-pro": 1048576,
-    "mimo-v2.5-pro": 1048576,
-    "mimo-v2.5": 1048576,
-    "mimo-v2-omni": 262144,
-    "mimo-v2-flash": 262144,
+    "XiaomiMiMo/MiMo-V2-Flash": 256000,
+    "mimo-v2-pro": 1000000,
+    "mimo-v2-omni": 256000,
+    "mimo-v2-flash": 256000,
     "zai-org/GLM-5": 202752,
 }
 
@@ -240,7 +191,6 @@ _CONTEXT_LENGTH_KEYS = (
     "max_seq_len",
     "n_ctx_train",
     "n_ctx",
-    "ctx_size",
 )
 
 _MAX_COMPLETION_KEYS = (
@@ -284,12 +234,9 @@ _URL_TO_PROVIDER: Dict[str, str] = {
     "chatgpt.com": "openai",
     "api.anthropic.com": "anthropic",
     "api.z.ai": "zai",
-    "open.bigmodel.cn": "zai",
     "api.moonshot.ai": "kimi-coding",
     "api.moonshot.cn": "kimi-coding-cn",
     "api.kimi.com": "kimi-coding",
-    "api.stepfun.ai": "stepfun",
-    "api.stepfun.com": "stepfun",
     "api.arcee.ai": "arcee",
     "api.minimax": "minimax",
     "dashscope.aliyuncs.com": "alibaba",
@@ -334,15 +281,7 @@ def _is_known_provider_base_url(base_url: str) -> bool:
 
 
 def is_local_endpoint(base_url: str) -> bool:
-    """Return True if base_url points to a local machine.
-
-    Recognises loopback (``localhost``, ``127.0.0.0/8``, ``::1``),
-    container-internal DNS names (``host.docker.internal`` et al.),
-    RFC-1918 private ranges (``10/8``, ``172.16/12``, ``192.168/16``),
-    link-local, and Tailscale CGNAT (``100.64.0.0/10``). Tailscale CGNAT
-    is included so remote-but-trusted Ollama boxes reached over a
-    Tailscale mesh get the same timeout auto-bumps as localhost Ollama.
-    """
+    """Return True if base_url points to a local machine (localhost / RFC-1918 / WSL)."""
     normalized = _normalize_base_url(base_url)
     if not normalized:
         return False
@@ -357,17 +296,14 @@ def is_local_endpoint(base_url: str) -> bool:
     # Docker / Podman / Lima internal DNS names (e.g. host.docker.internal)
     if any(host.endswith(suffix) for suffix in _CONTAINER_LOCAL_SUFFIXES):
         return True
-    # RFC-1918 private ranges, link-local, and Tailscale CGNAT
+    # RFC-1918 private ranges and link-local
+    import ipaddress
     try:
         addr = ipaddress.ip_address(host)
-        if addr.is_private or addr.is_loopback or addr.is_link_local:
-            return True
-        if isinstance(addr, ipaddress.IPv4Address) and addr in _TAILSCALE_CGNAT:
-            return True
+        return addr.is_private or addr.is_loopback or addr.is_link_local
     except ValueError:
         pass
     # Bare IP that looks like a private range (e.g. 172.26.x.x for WSL)
-    # or Tailscale CGNAT (100.64.x.x–100.127.x.x).
     parts = host.split(".")
     if len(parts) == 4:
         try:
@@ -378,8 +314,6 @@ def is_local_endpoint(base_url: str) -> bool:
                 return True
             if first == 192 and second == 168:
                 return True
-            if first == 100 and 64 <= second <= 127:
-                return True
         except ValueError:
             pass
     return False
@@ -528,7 +462,7 @@ def fetch_model_metadata(force_refresh: bool = False) -> Dict[str, Dict[str, Any
         return _model_metadata_cache
 
     try:
-        response = requests.get(OPENROUTER_MODELS_URL, timeout=10, verify=_resolve_requests_verify())
+        response = requests.get(OPENROUTER_MODELS_URL, timeout=10)
         response.raise_for_status()
         data = response.json()
 
@@ -595,7 +529,6 @@ def fetch_endpoint_model_metadata(
                     server_url.rstrip("/") + "/api/v1/models",
                     headers=headers,
                     timeout=10,
-                    verify=_resolve_requests_verify(),
                 )
                 response.raise_for_status()
                 payload = response.json()
@@ -644,7 +577,7 @@ def fetch_endpoint_model_metadata(
     for candidate in candidates:
         url = candidate.rstrip("/") + "/models"
         try:
-            response = requests.get(url, headers=headers, timeout=10, verify=_resolve_requests_verify())
+            response = requests.get(url, headers=headers, timeout=10)
             response.raise_for_status()
             payload = response.json()
             cache: Dict[str, Dict[str, Any]] = {}
@@ -675,10 +608,9 @@ def fetch_endpoint_model_metadata(
                 try:
                     # Try /v1/props first (current llama.cpp); fall back to /props for older builds
                     base = candidate.rstrip("/").replace("/v1", "")
-                    _verify = _resolve_requests_verify()
-                    props_resp = requests.get(base + "/v1/props", headers=headers, timeout=5, verify=_verify)
+                    props_resp = requests.get(base + "/v1/props", headers=headers, timeout=5)
                     if not props_resp.ok:
-                        props_resp = requests.get(base + "/props", headers=headers, timeout=5, verify=_verify)
+                        props_resp = requests.get(base + "/props", headers=headers, timeout=5)
                     if props_resp.ok:
                         props = props_resp.json()
                         gen_settings = props.get("default_generation_settings", {})
@@ -750,22 +682,6 @@ def get_cached_context_length(model: str, base_url: str) -> Optional[int]:
     return cache.get(key)
 
 
-def _invalidate_cached_context_length(model: str, base_url: str) -> None:
-    """Drop a stale cache entry so it gets re-resolved on the next lookup."""
-    key = f"{model}@{base_url}"
-    cache = _load_context_cache()
-    if key not in cache:
-        return
-    del cache[key]
-    path = _get_context_cache_path()
-    try:
-        path.parent.mkdir(parents=True, exist_ok=True)
-        with open(path, "w") as f:
-            yaml.dump({"context_lengths": cache}, f, default_flow_style=False)
-    except Exception as e:
-        logger.debug("Failed to invalidate context length cache entry %s: %s", key, e)
-
-
 def get_next_probe_tier(current_length: int) -> Optional[int]:
     """Return the next lower probe tier, or None if already at minimum."""
     for tier in CONTEXT_PROBE_TIERS:
@@ -1043,7 +959,7 @@ def _query_anthropic_context_length(model: str, base_url: str, api_key: str) ->
             "x-api-key": api_key,
             "anthropic-version": "2023-06-01",
         }
-        resp = requests.get(url, headers=headers, timeout=10, verify=_resolve_requests_verify())
+        resp = requests.get(url, headers=headers, timeout=10)
         if resp.status_code != 200:
             return None
         data = resp.json()
@@ -1057,116 +973,6 @@ def _query_anthropic_context_length(model: str, base_url: str, api_key: str) ->
     return None
 
 
-# Known ChatGPT Codex OAuth context windows (observed via live
-# chatgpt.com/backend-api/codex/models probe, Apr 2026). These are the
-# `context_window` values, which are what Codex actually enforces — the
-# direct OpenAI API has larger limits for the same slugs, but Codex OAuth
-# caps lower (e.g. gpt-5.5 is 1.05M on the API, 272K on Codex).
-#
-# Used as a fallback when the live probe fails (no token, network error).
-# Longest keys first so substring match picks the most specific entry.
-_CODEX_OAUTH_CONTEXT_FALLBACK: Dict[str, int] = {
-    "gpt-5.1-codex-max": 272_000,
-    "gpt-5.1-codex-mini": 272_000,
-    "gpt-5.3-codex": 272_000,
-    "gpt-5.2-codex": 272_000,
-    "gpt-5.4-mini": 272_000,
-    "gpt-5.5": 272_000,
-    "gpt-5.4": 272_000,
-    "gpt-5.2": 272_000,
-    "gpt-5": 272_000,
-}
-
-
-_codex_oauth_context_cache: Dict[str, int] = {}
-_codex_oauth_context_cache_time: float = 0.0
-_CODEX_OAUTH_CONTEXT_CACHE_TTL = 3600  # 1 hour
-
-
-def _fetch_codex_oauth_context_lengths(access_token: str) -> Dict[str, int]:
-    """Probe the ChatGPT Codex /models endpoint for per-slug context windows.
-
-    Codex OAuth imposes its own context limits that differ from the direct
-    OpenAI API (e.g. gpt-5.5 is 1.05M on the API, 272K on Codex). The
-    `context_window` field in each model entry is the authoritative source.
-
-    Returns a ``{slug: context_window}`` dict. Empty on failure.
-    """
-    global _codex_oauth_context_cache, _codex_oauth_context_cache_time
-    now = time.time()
-    if (
-        _codex_oauth_context_cache
-        and now - _codex_oauth_context_cache_time < _CODEX_OAUTH_CONTEXT_CACHE_TTL
-    ):
-        return _codex_oauth_context_cache
-
-    try:
-        resp = requests.get(
-            "https://chatgpt.com/backend-api/codex/models?client_version=1.0.0",
-            headers={"Authorization": f"Bearer {access_token}"},
-            timeout=10,
-            verify=_resolve_requests_verify(),
-        )
-        if resp.status_code != 200:
-            logger.debug(
-                "Codex /models probe returned HTTP %s; falling back to hardcoded defaults",
-                resp.status_code,
-            )
-            return {}
-        data = resp.json()
-    except Exception as exc:
-        logger.debug("Codex /models probe failed: %s", exc)
-        return {}
-
-    entries = data.get("models", []) if isinstance(data, dict) else []
-    result: Dict[str, int] = {}
-    for item in entries:
-        if not isinstance(item, dict):
-            continue
-        slug = item.get("slug")
-        ctx = item.get("context_window")
-        if isinstance(slug, str) and isinstance(ctx, int) and ctx > 0:
-            result[slug.strip()] = ctx
-
-    if result:
-        _codex_oauth_context_cache = result
-        _codex_oauth_context_cache_time = now
-    return result
-
-
-def _resolve_codex_oauth_context_length(
-    model: str, access_token: str = ""
-) -> Optional[int]:
-    """Resolve a Codex OAuth model's real context window.
-
-    Prefers a live probe of chatgpt.com/backend-api/codex/models (when we
-    have a bearer token), then falls back to ``_CODEX_OAUTH_CONTEXT_FALLBACK``.
-    """
-    model_bare = _strip_provider_prefix(model).strip()
-    if not model_bare:
-        return None
-
-    if access_token:
-        live = _fetch_codex_oauth_context_lengths(access_token)
-        if model_bare in live:
-            return live[model_bare]
-        # Case-insensitive match in case casing drifts
-        model_lower = model_bare.lower()
-        for slug, ctx in live.items():
-            if slug.lower() == model_lower:
-                return ctx
-
-    # Fallback: longest-key-first substring match over hardcoded defaults.
-    model_lower = model_bare.lower()
-    for slug, ctx in sorted(
-        _CODEX_OAUTH_CONTEXT_FALLBACK.items(), key=lambda x: len(x[0]), reverse=True
-    ):
-        if slug in model_lower:
-            return ctx
-
-    return None
-
-
 def _resolve_nous_context_length(model: str) -> Optional[int]:
     """Resolve Nous Portal model context length via OpenRouter metadata.
 
@@ -1206,14 +1012,12 @@ def get_model_context_length(
     api_key: str = "",
     config_context_length: int | None = None,
     provider: str = "",
-    custom_providers: list | None = None,
 ) -> int:
     """Get the context length for a model.
 
     Resolution order:
     0. Explicit config override (model.context_length or custom_providers per-model)
     1. Persistent cache (previously discovered via probing)
-    1b. AWS Bedrock static table (must precede custom-endpoint probe)
     2. Active endpoint metadata (/models for explicit custom endpoints)
     3. Local server query (for local endpoints)
     4. Anthropic /v1/models API (API-key users only, not OAuth)
@@ -1227,23 +1031,6 @@ def get_model_context_length(
     if config_context_length is not None and isinstance(config_context_length, int) and config_context_length > 0:
         return config_context_length
 
-    # 0b. custom_providers per-model override — check before any probe.
-    # This closes the gap where /model switch and display paths used to fall
-    # back to 128K despite the user having a per-model context_length set.
-    # See #15779.
-    if custom_providers and base_url and model:
-        try:
-            from hermes_cli.config import get_custom_provider_context_length
-            cp_ctx = get_custom_provider_context_length(
-                model=model,
-                base_url=base_url,
-                custom_providers=custom_providers,
-            )
-            if cp_ctx:
-                return cp_ctx
-        except Exception:
-            pass  # fall through to probing
-
     # Normalise provider-prefixed model names (e.g. "local:model-name" →
     # "model-name") so cache lookups and server queries use the bare ID that
     # local servers actually know about.  Ollama "model:tag" colons are preserved.
@@ -1253,41 +1040,7 @@ def get_model_context_length(
     if base_url:
         cached = get_cached_context_length(model, base_url)
         if cached is not None:
-            # Invalidate stale Codex OAuth cache entries: pre-PR #14935 builds
-            # resolved gpt-5.x to the direct-API value (e.g. 1.05M) via
-            # models.dev and persisted it. Codex OAuth caps at 272K for every
-            # slug, so any cached Codex entry at or above 400K is a leftover
-            # from the old resolution path. Drop it and fall through to the
-            # live /models probe in step 5 below.
-            if provider == "openai-codex" and cached >= 400_000:
-                logger.info(
-                    "Dropping stale Codex cache entry %s@%s -> %s (pre-fix value); "
-                    "re-resolving via live /models probe",
-                    model, base_url, f"{cached:,}",
-                )
-                _invalidate_cached_context_length(model, base_url)
-            else:
-                return cached
-
-    # 1b. AWS Bedrock — use static context length table.
-    # Bedrock's ListFoundationModels API doesn't expose context window sizes,
-    # so we maintain a curated table in bedrock_adapter.py that reflects
-    # AWS-imposed limits (e.g. 200K for Claude models vs 1M on the native
-    # Anthropic API).  This must run BEFORE the custom-endpoint probe at
-    # step 2 — bedrock-runtime.<region>.amazonaws.com is not in
-    # _URL_TO_PROVIDER, so it would otherwise be treated as a custom endpoint,
-    # fail the /models probe (Bedrock doesn't expose that shape), and fall
-    # back to the 128K default before reaching the original step 4b branch.
-    if provider == "bedrock" or (
-        base_url
-        and base_url_hostname(base_url).startswith("bedrock-runtime.")
-        and base_url_host_matches(base_url, "amazonaws.com")
-    ):
-        try:
-            from agent.bedrock_adapter import get_bedrock_context_length
-            return get_bedrock_context_length(model)
-        except ImportError:
-            pass  # boto3 not installed — fall through to generic resolution
+            return cached
 
     # 2. Active endpoint metadata for truly custom/unknown endpoints.
     # Known providers (Copilot, OpenAI, Anthropic, etc.) skip this — their
@@ -1334,7 +1087,19 @@ def get_model_context_length(
         if ctx:
             return ctx
 
-    # 4b. (Bedrock handled earlier at step 1b — before custom-endpoint probe.)
+    # 4b. AWS Bedrock — use static context length table.
+    # Bedrock's ListFoundationModels doesn't expose context window sizes,
+    # so we maintain a curated table in bedrock_adapter.py.
+    if provider == "bedrock" or (
+        base_url
+        and base_url_hostname(base_url).startswith("bedrock-runtime.")
+        and base_url_host_matches(base_url, "amazonaws.com")
+    ):
+        try:
+            from agent.bedrock_adapter import get_bedrock_context_length
+            return get_bedrock_context_length(model)
+        except ImportError:
+            pass  # boto3 not installed — fall through to generic resolution
 
     # 5. Provider-aware lookups (before generic OpenRouter cache)
     # These are provider-specific and take priority over the generic OR cache,
@@ -1348,32 +1113,10 @@ def get_model_context_length(
             if inferred:
                 effective_provider = inferred
 
-    # 5a. Copilot live /models API — max_prompt_tokens from the user's account.
-    # This catches account-specific models (e.g. claude-opus-4.6-1m) that
-    # don't exist in models.dev. For models that ARE in models.dev, this
-    # returns the provider-enforced limit which is what users can actually use.
-    if effective_provider in ("copilot", "copilot-acp", "github-copilot"):
-        try:
-            from hermes_cli.models import get_copilot_model_context
-            ctx = get_copilot_model_context(model, api_key=api_key)
-            if ctx:
-                return ctx
-        except Exception:
-            pass  # Fall through to models.dev
-
     if effective_provider == "nous":
         ctx = _resolve_nous_context_length(model)
         if ctx:
             return ctx
-    if effective_provider == "openai-codex":
-        # Codex OAuth enforces lower context limits than the direct OpenAI
-        # API for the same slug (e.g. gpt-5.5 is 1.05M on the API but 272K
-        # on Codex). Authoritative source is Codex's own /models endpoint.
-        codex_ctx = _resolve_codex_oauth_context_length(model, access_token=api_key or "")
-        if codex_ctx:
-            if base_url:
-                save_context_length(model, base_url, codex_ctx)
-            return codex_ctx
     if effective_provider:
         from agent.models_dev import lookup_models_dev_context
         ctx = lookup_models_dev_context(effective_provider, model)
@@ -1383,7 +1126,7 @@ def get_model_context_length(
     # 6. OpenRouter live API metadata (provider-unaware fallback)
     metadata = fetch_model_metadata()
     if model in metadata:
-        return metadata[model].get("context_length", DEFAULT_FALLBACK_CONTEXT)
+        return metadata[model].get("context_length", 128000)
 
     # 8. Hardcoded defaults (fuzzy match — longest key first for specificity)
     # Only check `default_model in model` (is the key a substring of the input).

agent/models_dev.py

@@ -146,7 +146,6 @@ PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
     "openai-codex": "openai",
     "zai": "zai",
     "kimi-coding": "kimi-for-coding",
-    "stepfun": "stepfun",
     "kimi-coding-cn": "kimi-for-coding",
     "minimax": "minimax",
     "minimax-cn": "minimax-cn",
@@ -418,9 +417,6 @@ def list_provider_models(provider: str) -> List[str]:
 
     Returns an empty list if the provider is unknown or has no data.
     """
-    from hermes_cli.models import normalize_provider
-    provider = normalize_provider(provider) or provider
-    
     models = _get_provider_models(provider)
     if models is None:
         return []

agent/moonshot_schema.py

@@ -1,190 +0,0 @@
-"""Helpers for translating OpenAI-style tool schemas to Moonshot's schema subset.
-
-Moonshot (Kimi) accepts a stricter subset of JSON Schema than standard OpenAI
-tool calling.  Requests that violate it fail with HTTP 400:
-
-    tools.function.parameters is not a valid moonshot flavored json schema,
-    details: <...>
-
-Known rejection modes documented at
-https://forum.moonshot.ai/t/tool-calling-specification-violation-on-moonshot-api/102
-and MoonshotAI/kimi-cli#1595:
-
-1. Every property schema must carry a ``type``.  Standard JSON Schema allows
-   type to be omitted (the value is then unconstrained); Moonshot refuses.
-2. When ``anyOf`` is used, ``type`` must be on the ``anyOf`` children, not
-   the parent.  Presence of both causes "type should be defined in anyOf
-   items instead of the parent schema".
-
-The ``#/definitions/...`` → ``#/$defs/...`` rewrite for draft-07 refs is
-handled separately in ``tools/mcp_tool._normalize_mcp_input_schema`` so it
-applies at MCP registration time for all providers.
-"""
-
-from __future__ import annotations
-
-import copy
-from typing import Any, Dict, List
-
-# Keys whose values are maps of name → schema (not schemas themselves).
-# When we recurse, we walk the values of these maps as schemas, but we do
-# NOT apply the missing-type repair to the map itself.
-_SCHEMA_MAP_KEYS = frozenset({"properties", "patternProperties", "$defs", "definitions"})
-
-# Keys whose values are lists of schemas.
-_SCHEMA_LIST_KEYS = frozenset({"anyOf", "oneOf", "allOf", "prefixItems"})
-
-# Keys whose values are a single nested schema.
-_SCHEMA_NODE_KEYS = frozenset({"items", "contains", "not", "additionalProperties", "propertyNames"})
-
-
-def _repair_schema(node: Any, is_schema: bool = True) -> Any:
-    """Recursively apply Moonshot repairs to a schema node.
-
-    ``is_schema=True`` means this dict is a JSON Schema node and gets the
-    missing-type + anyOf-parent repairs applied.  ``is_schema=False`` means
-    it's a container map (e.g. the value of ``properties``) and we only
-    recurse into its values.
-    """
-    if isinstance(node, list):
-        # Lists only show up under schema-list keys (anyOf/oneOf/allOf), so
-        # every element is itself a schema.
-        return [_repair_schema(item, is_schema=True) for item in node]
-    if not isinstance(node, dict):
-        return node
-
-    # Walk the dict, deciding per-key whether recursion is into a schema
-    # node, a container map, or a scalar.
-    repaired: Dict[str, Any] = {}
-    for key, value in node.items():
-        if key in _SCHEMA_MAP_KEYS and isinstance(value, dict):
-            # Map of name → schema.  Don't treat the map itself as a schema
-            # (it has no type / properties of its own), but each value is.
-            repaired[key] = {
-                sub_key: _repair_schema(sub_val, is_schema=True)
-                for sub_key, sub_val in value.items()
-            }
-        elif key in _SCHEMA_LIST_KEYS and isinstance(value, list):
-            repaired[key] = [_repair_schema(v, is_schema=True) for v in value]
-        elif key in _SCHEMA_NODE_KEYS:
-            # items / not / additionalProperties: single nested schema.
-            # additionalProperties can also be a bool — leave those alone.
-            if isinstance(value, dict):
-                repaired[key] = _repair_schema(value, is_schema=True)
-            else:
-                repaired[key] = value
-        else:
-            # Scalars (description, title, format, enum values, etc.) pass through.
-            repaired[key] = value
-
-    if not is_schema:
-        return repaired
-
-    # Rule 2: when anyOf is present, type belongs only on the children.
-    if "anyOf" in repaired and isinstance(repaired["anyOf"], list):
-        repaired.pop("type", None)
-        return repaired
-
-    # Rule 1: property schemas without type need one.  $ref nodes are exempt
-    # — their type comes from the referenced definition.
-    if "$ref" in repaired:
-        return repaired
-    return _fill_missing_type(repaired)
-
-
-def _fill_missing_type(node: Dict[str, Any]) -> Dict[str, Any]:
-    """Infer a reasonable ``type`` if this schema node has none."""
-    if "type" in node and node["type"] not in (None, ""):
-        return node
-
-    # Heuristic: presence of ``properties`` → object, ``items`` → array, ``enum``
-    # → type of first enum value, else fall back to ``string`` (safest scalar).
-    if "properties" in node or "required" in node or "additionalProperties" in node:
-        inferred = "object"
-    elif "items" in node or "prefixItems" in node:
-        inferred = "array"
-    elif "enum" in node and isinstance(node["enum"], list) and node["enum"]:
-        sample = node["enum"][0]
-        if isinstance(sample, bool):
-            inferred = "boolean"
-        elif isinstance(sample, int):
-            inferred = "integer"
-        elif isinstance(sample, float):
-            inferred = "number"
-        else:
-            inferred = "string"
-    else:
-        inferred = "string"
-
-    return {**node, "type": inferred}
-
-
-def sanitize_moonshot_tool_parameters(parameters: Any) -> Dict[str, Any]:
-    """Normalize tool parameters to a Moonshot-compatible object schema.
-
-    Returns a deep-copied schema with the two flavored-JSON-Schema repairs
-    applied.  Input is not mutated.
-    """
-    if not isinstance(parameters, dict):
-        return {"type": "object", "properties": {}}
-
-    repaired = _repair_schema(copy.deepcopy(parameters), is_schema=True)
-    if not isinstance(repaired, dict):
-        return {"type": "object", "properties": {}}
-
-    # Top-level must be an object schema
-    if repaired.get("type") != "object":
-        repaired["type"] = "object"
-    if "properties" not in repaired:
-        repaired["properties"] = {}
-
-    return repaired
-
-
-def sanitize_moonshot_tools(tools: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
-    """Apply ``sanitize_moonshot_tool_parameters`` to every tool's parameters."""
-    if not tools:
-        return tools
-
-    sanitized: List[Dict[str, Any]] = []
-    any_change = False
-    for tool in tools:
-        if not isinstance(tool, dict):
-            sanitized.append(tool)
-            continue
-        fn = tool.get("function")
-        if not isinstance(fn, dict):
-            sanitized.append(tool)
-            continue
-        params = fn.get("parameters")
-        repaired = sanitize_moonshot_tool_parameters(params)
-        if repaired is not params:
-            any_change = True
-            new_fn = {**fn, "parameters": repaired}
-            sanitized.append({**tool, "function": new_fn})
-        else:
-            sanitized.append(tool)
-
-    return sanitized if any_change else tools
-
-
-def is_moonshot_model(model: str | None) -> bool:
-    """True for any Kimi / Moonshot model slug, regardless of aggregator prefix.
-
-    Matches bare names (``kimi-k2.6``, ``moonshotai/Kimi-K2.6``) and aggregator-
-    prefixed slugs (``nous/moonshotai/kimi-k2.6``, ``openrouter/moonshotai/...``).
-    Detection by model name covers Nous / OpenRouter / other aggregators that
-    route to Moonshot's inference, where the base URL is the aggregator's, not
-    ``api.moonshot.ai``.
-    """
-    if not model:
-        return False
-    bare = model.strip().lower()
-    # Last path segment (covers aggregator-prefixed slugs)
-    tail = bare.rsplit("/", 1)[-1]
-    if tail.startswith("kimi-") or tail == "kimi":
-        return True
-    # Vendor-prefixed forms commonly used on aggregators
-    if "moonshot" in bare or "/kimi" in bare or bare.startswith("kimi"):
-        return True
-    return False

agent/nous_rate_guard.py

@@ -180,145 +180,3 @@ def format_remaining(seconds: float) -> str:
     h, remainder = divmod(s, 3600)
     m = remainder // 60
     return f"{h}h {m}m" if m else f"{h}h"
-
-
-# Buckets with reset windows shorter than this are treated as transient
-# (upstream jitter, secondary throttling) rather than a genuine quota
-# exhaustion worth a cross-session breaker trip.
-_MIN_RESET_FOR_BREAKER_SECONDS = 60.0
-
-
-def is_genuine_nous_rate_limit(
-    *,
-    headers: Optional[Mapping[str, str]] = None,
-    last_known_state: Optional[Any] = None,
-) -> bool:
-    """Decide whether a 429 from Nous Portal is a real account rate limit.
-
-    Nous Portal multiplexes multiple upstream providers (DeepSeek, Kimi,
-    MiMo, Hermes, ...) behind one endpoint.  A 429 can mean either:
-
-      (a) The caller's own RPM / RPH / TPM / TPH bucket on Nous is
-          exhausted — a genuine rate limit that will last until the
-          bucket resets.
-      (b) The upstream provider is out of capacity for a specific model
-          — transient, clears in seconds, and has nothing to do with
-          the caller's quota on Nous.
-
-    Tripping the cross-session breaker on (b) blocks ALL Nous requests
-    (and all models, since Nous is one provider key) for minutes even
-    though the caller's account is healthy and a different model would
-    have worked.  That's the bug users hit when DeepSeek V4 Pro 429s
-    trigger a breaker that then blocks Kimi 2.6 and MiMo V2.5 Pro.
-
-    We tell the two apart by looking at:
-
-      1. The 429 response's own ``x-ratelimit-*`` headers.  Nous emits
-         the full suite on every response including 429s.  An exhausted
-         bucket (``remaining == 0`` with a reset window >= 60s) is
-         proof of (a).
-      2. The last-known-good rate-limit state captured by
-         ``_capture_rate_limits()`` on the previous successful
-         response.  If any bucket there was already near-exhausted with
-         a substantial reset window, the current 429 is almost
-         certainly (a) continuing from that condition.
-
-    If neither signal fires, we treat the 429 as (b): fail the single
-    request, let the retry loop or model-switch proceed, and do NOT
-    write the cross-session breaker file.
-
-    Returns True when the evidence points at (a).
-    """
-    # Signal 1: current 429 response headers.
-    state = _parse_buckets_from_headers(headers)
-    if _has_exhausted_bucket(state):
-        return True
-
-    # Signal 2: last-known-good state from a recent successful response.
-    # Accepts either a RateLimitState (dataclass from rate_limit_tracker)
-    # or a dict of bucket snapshots.
-    if last_known_state is not None and _has_exhausted_bucket_in_object(last_known_state):
-        return True
-
-    return False
-
-
-def _parse_buckets_from_headers(
-    headers: Optional[Mapping[str, str]],
-) -> dict[str, tuple[Optional[int], Optional[float]]]:
-    """Extract (remaining, reset_seconds) per bucket from x-ratelimit-* headers.
-
-    Returns empty dict when no rate-limit headers are present.
-    """
-    if not headers:
-        return {}
-
-    lowered = {k.lower(): v for k, v in headers.items()}
-    if not any(k.startswith("x-ratelimit-") for k in lowered):
-        return {}
-
-    def _maybe_int(raw: Optional[str]) -> Optional[int]:
-        if raw is None:
-            return None
-        try:
-            return int(float(raw))
-        except (TypeError, ValueError):
-            return None
-
-    def _maybe_float(raw: Optional[str]) -> Optional[float]:
-        if raw is None:
-            return None
-        try:
-            return float(raw)
-        except (TypeError, ValueError):
-            return None
-
-    result: dict[str, tuple[Optional[int], Optional[float]]] = {}
-    for tag in ("requests", "requests-1h", "tokens", "tokens-1h"):
-        remaining = _maybe_int(lowered.get(f"x-ratelimit-remaining-{tag}"))
-        reset = _maybe_float(lowered.get(f"x-ratelimit-reset-{tag}"))
-        if remaining is not None or reset is not None:
-            result[tag] = (remaining, reset)
-    return result
-
-
-def _has_exhausted_bucket(
-    buckets: Mapping[str, tuple[Optional[int], Optional[float]]],
-) -> bool:
-    """Return True when any bucket has remaining == 0 AND a meaningful reset window."""
-    for remaining, reset in buckets.values():
-        if remaining is None or remaining > 0:
-            continue
-        if reset is None:
-            continue
-        if reset >= _MIN_RESET_FOR_BREAKER_SECONDS:
-            return True
-    return False
-
-
-def _has_exhausted_bucket_in_object(state: Any) -> bool:
-    """Check a RateLimitState-like object for an exhausted bucket.
-
-    Accepts the dataclass from ``agent.rate_limit_tracker`` (buckets
-    exposed as attributes ``requests_min``, ``requests_hour``,
-    ``tokens_min``, ``tokens_hour``) and falls back gracefully for any
-    object missing those attributes.
-    """
-    for attr in ("requests_min", "requests_hour", "tokens_min", "tokens_hour"):
-        bucket = getattr(state, attr, None)
-        if bucket is None:
-            continue
-        limit = getattr(bucket, "limit", 0) or 0
-        remaining = getattr(bucket, "remaining", 0) or 0
-        # Prefer the adjusted "remaining_seconds_now" property when present;
-        # fall back to raw reset_seconds.
-        reset = getattr(bucket, "remaining_seconds_now", None)
-        if reset is None:
-            reset = getattr(bucket, "reset_seconds", 0.0) or 0.0
-        if limit <= 0:
-            continue
-        if remaining > 0:
-            continue
-        if reset >= _MIN_RESET_FOR_BREAKER_SECONDS:
-            return True
-    return False

agent/onboarding.py

@@ -1,191 +0,0 @@
-"""
-Contextual first-touch onboarding hints.
-
-Instead of blocking first-run questionnaires, show a one-time hint the *first*
-time a user hits a behavior fork — message-while-running, first long-running
-tool, etc.  Each hint is shown once per install (tracked in ``config.yaml`` under
-``onboarding.seen.<flag>``) and then never again.
-
-Keep this module tiny and dependency-free so both the CLI and gateway can import
-it without pulling in heavy modules.
-"""
-
-from __future__ import annotations
-
-import logging
-from pathlib import Path
-from typing import Any, Mapping, Optional
-
-logger = logging.getLogger(__name__)
-
-
-# -------------------------------------------------------------------------
-# Flag names (stable — used as config.yaml keys under onboarding.seen)
-# -------------------------------------------------------------------------
-
-BUSY_INPUT_FLAG = "busy_input_prompt"
-TOOL_PROGRESS_FLAG = "tool_progress_prompt"
-OPENCLAW_RESIDUE_FLAG = "openclaw_residue_cleanup"
-
-
-# -------------------------------------------------------------------------
-# Hint content
-# -------------------------------------------------------------------------
-
-def busy_input_hint_gateway(mode: str) -> str:
-    """Hint shown the first time a user messages while the agent is busy.
-
-    ``mode`` is the effective busy_input_mode that was just applied, so the
-    message matches reality ("I just interrupted…" vs "I just queued…").
-    """
-    if mode == "queue":
-        return (
-            "💡 First-time tip — I queued your message instead of interrupting. "
-            "Send `/busy interrupt` to make new messages stop the current task "
-            "immediately, or `/busy status` to check. This notice won't appear again."
-        )
-    if mode == "steer":
-        return (
-            "💡 First-time tip — I steered your message into the current run; "
-            "it will arrive after the next tool call instead of interrupting. "
-            "Send `/busy interrupt` or `/busy queue` to change this, or "
-            "`/busy status` to check. This notice won't appear again."
-        )
-    return (
-        "💡 First-time tip — I just interrupted my current task to answer you. "
-        "Send `/busy queue` to queue follow-ups for after the current task instead, "
-        "`/busy steer` to inject them mid-run without interrupting, or "
-        "`/busy status` to check. This notice won't appear again."
-    )
-
-
-def busy_input_hint_cli(mode: str) -> str:
-    """CLI version of the busy-input hint (plain text, no markdown)."""
-    if mode == "queue":
-        return (
-            "(tip) Your message was queued for the next turn. "
-            "Use /busy interrupt to make Enter stop the current run instead, "
-            "or /busy steer to inject mid-run. This tip only shows once."
-        )
-    if mode == "steer":
-        return (
-            "(tip) Your message was steered into the current run; it arrives "
-            "after the next tool call. Use /busy interrupt or /busy queue to "
-            "change this. This tip only shows once."
-        )
-    return (
-        "(tip) Your message interrupted the current run. "
-        "Use /busy queue to queue messages for the next turn instead, "
-        "or /busy steer to inject mid-run. This tip only shows once."
-    )
-
-
-def tool_progress_hint_gateway() -> str:
-    return (
-        "💡 First-time tip — that tool took a while and I'm streaming every step. "
-        "If the progress messages feel noisy, send `/verbose` to cycle modes "
-        "(all → new → off). This notice won't appear again."
-    )
-
-
-def tool_progress_hint_cli() -> str:
-    return (
-        "(tip) That tool ran for a while. Use /verbose to cycle tool-progress "
-        "display modes (all -> new -> off -> verbose). This tip only shows once."
-    )
-
-
-def openclaw_residue_hint_cli() -> str:
-    """Banner shown the first time Hermes starts and finds ``~/.openclaw/``.
-
-    OpenClaw-era config, memory, and skill paths in ``~/.openclaw/`` will
-    otherwise attract the agent (memory entries like ``~/.openclaw/config.yaml``
-    get carried forward and the agent dutifully reads them). ``hermes claw
-    cleanup`` renames the directory so the agent stops finding it.
-    """
-    return (
-        "Heads up — an OpenClaw workspace was detected at ~/.openclaw/.\n"
-        "After migrating, the agent can still get confused and read that "
-        "directory's config/memory instead of Hermes's.\n"
-        "Run `hermes claw cleanup` to archive it (rename → .openclaw.pre-migration). "
-        "This tip only shows once; rerun it any time with `hermes claw cleanup`."
-    )
-
-
-def detect_openclaw_residue(home: Optional[Path] = None) -> bool:
-    """Return True if an OpenClaw workspace directory is present in ``$HOME``.
-
-    Pure filesystem check — no side effects. ``home`` override exists for tests.
-    """
-    base = home or Path.home()
-    try:
-        return (base / ".openclaw").is_dir()
-    except OSError:
-        return False
-
-
-# -------------------------------------------------------------------------
-# State read / write
-# -------------------------------------------------------------------------
-
-def _get_seen_dict(config: Mapping[str, Any]) -> Mapping[str, Any]:
-    onboarding = config.get("onboarding") if isinstance(config, Mapping) else None
-    if not isinstance(onboarding, Mapping):
-        return {}
-    seen = onboarding.get("seen")
-    return seen if isinstance(seen, Mapping) else {}
-
-
-def is_seen(config: Mapping[str, Any], flag: str) -> bool:
-    """Return True if the user has already been shown this first-touch hint."""
-    return bool(_get_seen_dict(config).get(flag))
-
-
-def mark_seen(config_path: Path, flag: str) -> bool:
-    """Persist ``onboarding.seen.<flag> = True`` to ``config_path``.
-
-    Uses the atomic YAML writer so a concurrent process can't observe a
-    partially-written file.  Returns True on success, False on any error
-    (including the config file being absent — onboarding is best-effort).
-    """
-    try:
-        import yaml
-        from utils import atomic_yaml_write
-    except Exception as e:  # pragma: no cover — dependency issue
-        logger.debug("onboarding: failed to import yaml/utils: %s", e)
-        return False
-
-    try:
-        cfg: dict = {}
-        if config_path.exists():
-            with open(config_path, encoding="utf-8") as f:
-                cfg = yaml.safe_load(f) or {}
-        if not isinstance(cfg.get("onboarding"), dict):
-            cfg["onboarding"] = {}
-        seen = cfg["onboarding"].get("seen")
-        if not isinstance(seen, dict):
-            seen = {}
-            cfg["onboarding"]["seen"] = seen
-        if seen.get(flag) is True:
-            return True  # already marked — nothing to do
-        seen[flag] = True
-        atomic_yaml_write(config_path, cfg)
-        return True
-    except Exception as e:
-        logger.debug("onboarding: failed to mark flag %s: %s", flag, e)
-        return False
-
-
-__all__ = [
-    "BUSY_INPUT_FLAG",
-    "TOOL_PROGRESS_FLAG",
-    "OPENCLAW_RESIDUE_FLAG",
-    "busy_input_hint_gateway",
-    "busy_input_hint_cli",
-    "tool_progress_hint_gateway",
-    "tool_progress_hint_cli",
-    "openclaw_residue_hint_cli",
-    "detect_openclaw_residue",
-    "is_seen",
-    "mark_seen",
-]

agent/prompt_builder.py

@@ -350,13 +350,7 @@ PLATFORM_HINTS = {
     ),
     "cli": (
         "You are a CLI AI Agent. Try not to use markdown but simple text "
-        "renderable inside a terminal. "
-        "File delivery: there is no attachment channel — the user reads your "
-        "response directly in their terminal. Do NOT emit MEDIA:/path tags "
-        "(those are only intercepted on messaging platforms like Telegram, "
-        "Discord, Slack, etc.; on the CLI they render as literal text). "
-        "When referring to a file you created or changed, just state its "
-        "absolute path in plain text; the user can open it from there."
+        "renderable inside a terminal."
     ),
     "sms": (
         "You are communicating via SMS. Keep responses concise and use plain text "
@@ -370,32 +364,6 @@ PLATFORM_HINTS = {
         "MEDIA:/absolute/path/to/file in your response. Images (.jpg, .png, "
         ".heic) appear as photos and other files arrive as attachments."
     ),
-    "mattermost": (
-        "You are in a Mattermost workspace communicating with your user. "
-        "Mattermost renders standard Markdown — headings, bold, italic, code "
-        "blocks, and tables all work. "
-        "You can send media files natively: include MEDIA:/absolute/path/to/file "
-        "in your response. Images (.jpg, .png, .webp) are uploaded as photo "
-        "attachments, audio and video as file attachments. "
-        "Image URLs in markdown format ![alt](url) are rendered as inline previews automatically."
-    ),
-    "matrix": (
-        "You are in a Matrix room communicating with your user. "
-        "Matrix renders Markdown — bold, italic, code blocks, and links work; "
-        "the adapter converts your Markdown to HTML for rich display. "
-        "You can send media files natively: include MEDIA:/absolute/path/to/file "
-        "in your response. Images (.jpg, .png, .webp) are sent as inline photos, "
-        "audio (.ogg, .mp3) as voice/audio messages, video (.mp4) inline, "
-        "and other files as downloadable attachments."
-    ),
-    "feishu": (
-        "You are in a Feishu (Lark) workspace communicating with your user. "
-        "Feishu renders Markdown in messages — bold, italic, code blocks, and "
-        "links are supported. "
-        "You can send media files natively: include MEDIA:/absolute/path/to/file "
-        "in your response. Images (.jpg, .png, .webp) are uploaded and displayed "
-        "inline, audio files as voice messages, and other files as attachments."
-    ),
     "weixin": (
         "You are on Weixin/WeChat. Markdown formatting is supported, so you may use it when "
         "it improves readability, but keep the message compact and chat-friendly. You can send media files natively: "
@@ -422,29 +390,6 @@ PLATFORM_HINTS = {
         "your response. Images are sent as native photos, and other files arrive as downloadable "
         "documents."
     ),
-    "yuanbao": (
-        "You are on Yuanbao (腾讯元宝), a Chinese AI assistant platform. "
-        "Markdown formatting is supported (code blocks, tables, bold/italic). "
-        "You CAN send media files natively — to deliver a file to the user, include "
-        "MEDIA:/absolute/path/to/file in your response. The file will be sent as a native "
-        "Yuanbao attachment: images (.jpg, .png, .webp, .gif) are sent as photos, "
-        "and other files (.pdf, .docx, .txt, .zip, etc.) arrive as downloadable documents "
-        "(max 50 MB). You can also include image URLs in markdown format ![alt](url) and "
-        "they will be downloaded and sent as native photos. "
-        "Do NOT tell the user you lack file-sending capability — use MEDIA: syntax "
-        "whenever a file delivery is appropriate.\n\n"
-        "Stickers (贴纸 / 表情包 / TIM face): Yuanbao has a built-in sticker catalogue. "
-        "When the user sends a sticker (you see '[emoji: 名称]' in their message) or asks "
-        "you to send/reply-with a 贴纸/表情/表情包, you MUST use the sticker tools:\n"
-        "  1. Call yb_search_sticker with a Chinese keyword (e.g. '666', '比心', '吃瓜', "
-        "     '捂脸', '合十') to discover matching sticker_ids.\n"
-        "  2. Call yb_send_sticker with the chosen sticker_id or name — this sends a real "
-        "     TIMFaceElem that renders as a native sticker in the chat.\n"
-        "DO NOT draw sticker-like PNGs with execute_code/Pillow/matplotlib and then send "
-        "them via MEDIA: or send_image_file. That produces a fake low-quality 'sticker' "
-        "image and is the WRONG path. Bare Unicode emoji in text is also not a substitute "
-        "— when a sticker is the right response, use yb_send_sticker."
-    ),
 }
 
 # ---------------------------------------------------------------------------
@@ -848,11 +793,6 @@ def build_skills_system_prompt(
             "Skills also encode the user's preferred approach, conventions, and quality standards "
             "for tasks like code review, planning, and testing — load them even for tasks you "
             "already know how to do, because the skill defines how it should be done here.\n"
-            "Whenever the user asks you to configure, set up, install, enable, disable, modify, "
-            "or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, "
-            "skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill "
-            "first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, "
-            "`hermes setup`) so you don't have to guess or invent workarounds.\n"
             "If a skill has issues, fix it with skill_manage(action='patch').\n"
             "After difficult/iterative tasks, offer to save as a skill. "
             "If a skill you loaded was missing steps, had wrong commands, or needed "

agent/shell_hooks.py

@@ -754,11 +754,7 @@ def _resolve_effective_accept(
     if env in ("1", "true", "yes", "on"):
         return True
     cfg_val = cfg.get("hooks_auto_accept", False)
-    if isinstance(cfg_val, bool):
-        return cfg_val
-    if isinstance(cfg_val, str):
-        return cfg_val.strip().lower() in ("1", "true", "yes", "on")
-    return False
+    return bool(cfg_val)
 
 
 # ---------------------------------------------------------------------------

agent/skill_commands.py

@@ -1,29 +1,154 @@
-"""Shared slash command helpers for skills.
+"""Shared slash command helpers for skills and built-in prompt-style modes.
 
 Shared between CLI (cli.py) and gateway (gateway/run.py) so both surfaces
-can invoke skills via /skill-name commands.
+can invoke skills via /skill-name commands and prompt-only built-ins like
+/plan.
 """
 
 import json
 import logging
 import re
+import subprocess
+from datetime import datetime
 from pathlib import Path
 from typing import Any, Dict, Optional
 
 from hermes_constants import display_hermes_home
-from agent.skill_preprocessing import (
-    expand_inline_shell as _expand_inline_shell,
-    load_skills_config as _load_skills_config,
-    substitute_template_vars as _substitute_template_vars,
-)
 
 logger = logging.getLogger(__name__)
 
 _skill_commands: Dict[str, Dict[str, Any]] = {}
+_PLAN_SLUG_RE = re.compile(r"[^a-z0-9]+")
 # Patterns for sanitizing skill names into clean hyphen-separated slugs.
 _SKILL_INVALID_CHARS = re.compile(r"[^a-z0-9-]")
 _SKILL_MULTI_HYPHEN = re.compile(r"-{2,}")
 
+# Matches ${HERMES_SKILL_DIR} / ${HERMES_SESSION_ID} tokens in SKILL.md.
+# Tokens that don't resolve (e.g. ${HERMES_SESSION_ID} with no session) are
+# left as-is so the user can debug them.
+_SKILL_TEMPLATE_RE = re.compile(r"\$\{(HERMES_SKILL_DIR|HERMES_SESSION_ID)\}")
+
+# Matches inline shell snippets like:  !`date +%Y-%m-%d`
+# Non-greedy, single-line only — no newlines inside the backticks.
+_INLINE_SHELL_RE = re.compile(r"!`([^`\n]+)`")
+
+# Cap inline-shell output so a runaway command can't blow out the context.
+_INLINE_SHELL_MAX_OUTPUT = 4000
+
+
+def _load_skills_config() -> dict:
+    """Load the ``skills`` section of config.yaml (best-effort)."""
+    try:
+        from hermes_cli.config import load_config
+
+        cfg = load_config() or {}
+        skills_cfg = cfg.get("skills")
+        if isinstance(skills_cfg, dict):
+            return skills_cfg
+    except Exception:
+        logger.debug("Could not read skills config", exc_info=True)
+    return {}
+
+
+def _substitute_template_vars(
+    content: str,
+    skill_dir: Path | None,
+    session_id: str | None,
+) -> str:
+    """Replace ${HERMES_SKILL_DIR} / ${HERMES_SESSION_ID} in skill content.
+
+    Only substitutes tokens for which a concrete value is available —
+    unresolved tokens are left in place so the author can spot them.
+    """
+    if not content:
+        return content
+
+    skill_dir_str = str(skill_dir) if skill_dir else None
+
+    def _replace(match: re.Match) -> str:
+        token = match.group(1)
+        if token == "HERMES_SKILL_DIR" and skill_dir_str:
+            return skill_dir_str
+        if token == "HERMES_SESSION_ID" and session_id:
+            return str(session_id)
+        return match.group(0)
+
+    return _SKILL_TEMPLATE_RE.sub(_replace, content)
+
+
+def _run_inline_shell(command: str, cwd: Path | None, timeout: int) -> str:
+    """Execute a single inline-shell snippet and return its stdout (trimmed).
+
+    Failures return a short ``[inline-shell error: ...]`` marker instead of
+    raising, so one bad snippet can't wreck the whole skill message.
+    """
+    try:
+        completed = subprocess.run(
+            ["bash", "-c", command],
+            cwd=str(cwd) if cwd else None,
+            capture_output=True,
+            text=True,
+            timeout=max(1, int(timeout)),
+            check=False,
+        )
+    except subprocess.TimeoutExpired:
+        return f"[inline-shell timeout after {timeout}s: {command}]"
+    except FileNotFoundError:
+        return f"[inline-shell error: bash not found]"
+    except Exception as exc:
+        return f"[inline-shell error: {exc}]"
+
+    output = (completed.stdout or "").rstrip("\n")
+    if not output and completed.stderr:
+        output = completed.stderr.rstrip("\n")
+    if len(output) > _INLINE_SHELL_MAX_OUTPUT:
+        output = output[:_INLINE_SHELL_MAX_OUTPUT] + "…[truncated]"
+    return output
+
+
+def _expand_inline_shell(
+    content: str,
+    skill_dir: Path | None,
+    timeout: int,
+) -> str:
+    """Replace every !`cmd` snippet in ``content`` with its stdout.
+
+    Runs each snippet with the skill directory as CWD so relative paths in
+    the snippet work the way the author expects.
+    """
+    if "!`" not in content:
+        return content
+
+    def _replace(match: re.Match) -> str:
+        cmd = match.group(1).strip()
+        if not cmd:
+            return ""
+        return _run_inline_shell(cmd, skill_dir, timeout)
+
+    return _INLINE_SHELL_RE.sub(_replace, content)
+
+
+def build_plan_path(
+    user_instruction: str = "",
+    *,
+    now: datetime | None = None,
+) -> Path:
+    """Return the default workspace-relative markdown path for a /plan invocation.
+
+    Relative paths are intentional: file tools are task/backend-aware and resolve
+    them against the active working directory for local, docker, ssh, modal,
+    daytona, and similar terminal backends. That keeps the plan with the active
+    workspace instead of the Hermes host's global home directory.
+    """
+    slug_source = (user_instruction or "").strip().splitlines()[0] if user_instruction else ""
+    slug = _PLAN_SLUG_RE.sub("-", slug_source.lower()).strip("-")
+    if slug:
+        slug = "-".join(part for part in slug.split("-")[:8] if part)[:48].strip("-")
+    slug = slug or "conversation-plan"
+    timestamp = (now or datetime.now()).strftime("%Y-%m-%d_%H%M%S")
+    return Path(".hermes") / "plans" / f"{timestamp}-{slug}.md"
+
+
 def _load_skill_payload(skill_identifier: str, task_id: str | None = None) -> tuple[dict[str, Any], Path | None, str] | None:
     """Load a skill by name/path and return (loaded_payload, skill_dir, display_name)."""
     raw_identifier = (skill_identifier or "").strip()
@@ -42,9 +167,7 @@ def _load_skill_payload(skill_identifier: str, task_id: str | None = None) -> tu
         else:
             normalized = raw_identifier.lstrip("/")
 
-        loaded_skill = json.loads(
-            skill_view(normalized, task_id=task_id, preprocess=False)
-        )
+        loaded_skill = json.loads(skill_view(normalized, task_id=task_id))
     except Exception:
         return None
 
@@ -222,7 +345,7 @@ def scan_skill_commands() -> Dict[str, Dict[str, Any]]:
     _skill_commands = {}
     try:
         from tools.skills_tool import SKILLS_DIR, _parse_frontmatter, skill_matches_platform, _get_disabled_skill_names
-        from agent.skill_utils import get_external_skills_dirs, iter_skill_index_files
+        from agent.skill_utils import get_external_skills_dirs
         disabled = _get_disabled_skill_names()
         seen_names: set = set()
 
@@ -233,7 +356,7 @@ def scan_skill_commands() -> Dict[str, Dict[str, Any]]:
         dirs_to_scan.extend(get_external_skills_dirs())
 
         for scan_dir in dirs_to_scan:
-            for skill_md in iter_skill_index_files(scan_dir, "SKILL.md"):
+            for skill_md in scan_dir.rglob("SKILL.md"):
                 if any(part in ('.git', '.github', '.hub') for part in skill_md.parts):
                     continue
                 try:
@@ -329,7 +452,7 @@ def build_skill_invocation_message(
 
     loaded_skill, skill_dir, skill_name = loaded
     activation_note = (
-        f'[IMPORTANT: The user has invoked the "{skill_name}" skill, indicating they want '
+        f'[SYSTEM: The user has invoked the "{skill_name}" skill, indicating they want '
         "you to follow its instructions. The full skill content is loaded below.]"
     )
     return _build_skill_message(
@@ -368,7 +491,7 @@ def build_preloaded_skills_prompt(
 
         loaded_skill, skill_dir, skill_name = loaded
         activation_note = (
-            f'[IMPORTANT: The user launched this CLI session with the "{skill_name}" skill '
+            f'[SYSTEM: The user launched this CLI session with the "{skill_name}" skill '
             "preloaded. Treat its instructions as active guidance for the duration of this "
             "session unless the user overrides them.]"
         )

agent/skill_preprocessing.py

@@ -1,131 +0,0 @@
-"""Shared SKILL.md preprocessing helpers."""
-
-import logging
-import re
-import subprocess
-from pathlib import Path
-
-logger = logging.getLogger(__name__)
-
-# Matches ${HERMES_SKILL_DIR} / ${HERMES_SESSION_ID} tokens in SKILL.md.
-# Tokens that don't resolve (e.g. ${HERMES_SESSION_ID} with no session) are
-# left as-is so the user can debug them.
-_SKILL_TEMPLATE_RE = re.compile(r"\$\{(HERMES_SKILL_DIR|HERMES_SESSION_ID)\}")
-
-# Matches inline shell snippets like:  !`date +%Y-%m-%d`
-# Non-greedy, single-line only -- no newlines inside the backticks.
-_INLINE_SHELL_RE = re.compile(r"!`([^`\n]+)`")
-
-# Cap inline-shell output so a runaway command can't blow out the context.
-_INLINE_SHELL_MAX_OUTPUT = 4000
-
-
-def load_skills_config() -> dict:
-    """Load the ``skills`` section of config.yaml (best-effort)."""
-    try:
-        from hermes_cli.config import load_config
-
-        cfg = load_config() or {}
-        skills_cfg = cfg.get("skills")
-        if isinstance(skills_cfg, dict):
-            return skills_cfg
-    except Exception:
-        logger.debug("Could not read skills config", exc_info=True)
-    return {}
-
-
-def substitute_template_vars(
-    content: str,
-    skill_dir: Path | None,
-    session_id: str | None,
-) -> str:
-    """Replace ${HERMES_SKILL_DIR} / ${HERMES_SESSION_ID} in skill content.
-
-    Only substitutes tokens for which a concrete value is available --
-    unresolved tokens are left in place so the author can spot them.
-    """
-    if not content:
-        return content
-
-    skill_dir_str = str(skill_dir) if skill_dir else None
-
-    def _replace(match: re.Match) -> str:
-        token = match.group(1)
-        if token == "HERMES_SKILL_DIR" and skill_dir_str:
-            return skill_dir_str
-        if token == "HERMES_SESSION_ID" and session_id:
-            return str(session_id)
-        return match.group(0)
-
-    return _SKILL_TEMPLATE_RE.sub(_replace, content)
-
-
-def run_inline_shell(command: str, cwd: Path | None, timeout: int) -> str:
-    """Execute a single inline-shell snippet and return its stdout (trimmed).
-
-    Failures return a short ``[inline-shell error: ...]`` marker instead of
-    raising, so one bad snippet can't wreck the whole skill message.
-    """
-    try:
-        completed = subprocess.run(
-            ["bash", "-c", command],
-            cwd=str(cwd) if cwd else None,
-            capture_output=True,
-            text=True,
-            timeout=max(1, int(timeout)),
-            check=False,
-        )
-    except subprocess.TimeoutExpired:
-        return f"[inline-shell timeout after {timeout}s: {command}]"
-    except FileNotFoundError:
-        return "[inline-shell error: bash not found]"
-    except Exception as exc:
-        return f"[inline-shell error: {exc}]"
-
-    output = (completed.stdout or "").rstrip("\n")
-    if not output and completed.stderr:
-        output = completed.stderr.rstrip("\n")
-    if len(output) > _INLINE_SHELL_MAX_OUTPUT:
-        output = output[:_INLINE_SHELL_MAX_OUTPUT] + "...[truncated]"
-    return output
-
-
-def expand_inline_shell(
-    content: str,
-    skill_dir: Path | None,
-    timeout: int,
-) -> str:
-    """Replace every !`cmd` snippet in ``content`` with its stdout.
-
-    Runs each snippet with the skill directory as CWD so relative paths in
-    the snippet work the way the author expects.
-    """
-    if "!`" not in content:
-        return content
-
-    def _replace(match: re.Match) -> str:
-        cmd = match.group(1).strip()
-        if not cmd:
-            return ""
-        return run_inline_shell(cmd, skill_dir, timeout)
-
-    return _INLINE_SHELL_RE.sub(_replace, content)
-
-
-def preprocess_skill_content(
-    content: str,
-    skill_dir: Path | None,
-    session_id: str | None = None,
-    skills_cfg: dict | None = None,
-) -> str:
-    """Apply configured SKILL.md template and inline-shell preprocessing."""
-    if not content:
-        return content
-
-    cfg = skills_cfg if isinstance(skills_cfg, dict) else load_skills_config()
-    if cfg.get("template_vars", True):
-        content = substitute_template_vars(content, skill_dir, session_id)
-    if cfg.get("inline_shell", False):
-        timeout = int(cfg.get("inline_shell_timeout", 10) or 10)
-        content = expand_inline_shell(content, skill_dir, timeout)
-    return content

agent/skill_utils.py

@@ -435,7 +435,7 @@ def iter_skill_index_files(skills_dir: Path, filename: str):
     Excludes ``.git``, ``.github``, ``.hub`` directories.
     """
     matches = []
-    for root, dirs, files in os.walk(skills_dir, followlinks=True):
+    for root, dirs, files in os.walk(skills_dir):
         dirs[:] = [d for d in dirs if d not in EXCLUDED_SKILL_DIRS]
         if filename in files:
             matches.append(Path(root) / filename)

agent/title_generator.py

@@ -38,7 +38,7 @@ def generate_title(user_message: str, assistant_response: str, timeout: float =
         response = call_llm(
             task="title_generation",
             messages=messages,
-            max_tokens=500,
+            max_tokens=30,
             temperature=0.3,
             timeout=timeout,
         )

agent/transports/__init__.py

@@ -23,14 +23,9 @@ def get_transport(api_mode: str):
     This allows gradual migration — call sites can check for None
     and fall back to the legacy code path.
     """
-    cls = _REGISTRY.get(api_mode)
-    if cls is None:
-        # The registry can be partially populated when a specific transport
-        # module was imported directly (for example chat_completions before
-        # codex).  Discover on misses, not only when the registry is empty, so
-        # test/order-dependent imports do not make valid api_modes unavailable.
+    if not _REGISTRY:
         _discover_transports()
-        cls = _REGISTRY.get(api_mode)
+    cls = _REGISTRY.get(api_mode)
     if cls is None:
         return None
     return cls()
@@ -42,15 +37,3 @@ def _discover_transports() -> None:
         import agent.transports.anthropic  # noqa: F401
     except ImportError:
         pass
-    try:
-        import agent.transports.codex  # noqa: F401
-    except ImportError:
-        pass
-    try:
-        import agent.transports.chat_completions  # noqa: F401
-    except ImportError:
-        pass
-    try:
-        import agent.transports.bedrock  # noqa: F401
-    except ImportError:
-        pass

agent/transports/anthropic.py

@@ -78,71 +78,23 @@ class AnthropicTransport(ProviderTransport):
     def normalize_response(self, response: Any, **kwargs) -> NormalizedResponse:
         """Normalize Anthropic response to NormalizedResponse.
 
-        Parses content blocks (text, thinking, tool_use), maps stop_reason
-        to OpenAI finish_reason, and collects reasoning_details in provider_data.
+        kwargs:
+            strip_tool_prefix: bool — strip 'mcp_mcp_' prefixes from tool names.
         """
-        import json
-        from agent.anthropic_adapter import _to_plain_data
-        from agent.transports.types import ToolCall
+        from agent.anthropic_adapter import normalize_anthropic_response_v2
 
         strip_tool_prefix = kwargs.get("strip_tool_prefix", False)
-        _MCP_PREFIX = "mcp_"
-
-        text_parts = []
-        reasoning_parts = []
-        reasoning_details = []
-        tool_calls = []
-
-        for block in response.content:
-            if block.type == "text":
-                text_parts.append(block.text)
-            elif block.type == "thinking":
-                reasoning_parts.append(block.thinking)
-                block_dict = _to_plain_data(block)
-                if isinstance(block_dict, dict):
-                    reasoning_details.append(block_dict)
-            elif block.type == "tool_use":
-                name = block.name
-                if strip_tool_prefix and name.startswith(_MCP_PREFIX):
-                    name = name[len(_MCP_PREFIX):]
-                tool_calls.append(
-                    ToolCall(
-                        id=block.id,
-                        name=name,
-                        arguments=json.dumps(block.input),
-                    )
-                )
-
-        finish_reason = self._STOP_REASON_MAP.get(response.stop_reason, "stop")
-
-        provider_data = {}
-        if reasoning_details:
-            provider_data["reasoning_details"] = reasoning_details
-
-        return NormalizedResponse(
-            content="\n".join(text_parts) if text_parts else None,
-            tool_calls=tool_calls or None,
-            finish_reason=finish_reason,
-            reasoning="\n\n".join(reasoning_parts) if reasoning_parts else None,
-            usage=None,
-            provider_data=provider_data or None,
-        )
+        return normalize_anthropic_response_v2(response, strip_tool_prefix=strip_tool_prefix)
 
     def validate_response(self, response: Any) -> bool:
-        """Check Anthropic response structure is valid.
-
-        An empty content list is legitimate when ``stop_reason == "end_turn"``
-        — the model's canonical way of signalling "nothing more to add" after
-        a tool turn that already delivered the user-facing text. Treating it
-        as invalid falsely retries a completed response.
-        """
+        """Check Anthropic response structure is valid."""
         if response is None:
             return False
         content_blocks = getattr(response, "content", None)
         if not isinstance(content_blocks, list):
             return False
         if not content_blocks:
-            return getattr(response, "stop_reason", None) == "end_turn"
+            return False
         return True
 
     def extract_cache_stats(self, response: Any) -> Optional[Dict[str, int]]:

agent/transports/bedrock.py

@@ -1,154 +0,0 @@
-"""AWS Bedrock Converse API transport.
-
-Delegates to the existing adapter functions in agent/bedrock_adapter.py.
-Bedrock uses its own boto3 client (not the OpenAI SDK), so the transport
-owns format conversion and normalization, while client construction and
-boto3 calls stay on AIAgent.
-"""
-
-from typing import Any, Dict, List, Optional
-
-from agent.transports.base import ProviderTransport
-from agent.transports.types import NormalizedResponse, ToolCall, Usage
-
-
-class BedrockTransport(ProviderTransport):
-    """Transport for api_mode='bedrock_converse'."""
-
-    @property
-    def api_mode(self) -> str:
-        return "bedrock_converse"
-
-    def convert_messages(self, messages: List[Dict[str, Any]], **kwargs) -> Any:
-        """Convert OpenAI messages to Bedrock Converse format."""
-        from agent.bedrock_adapter import convert_messages_to_converse
-        return convert_messages_to_converse(messages)
-
-    def convert_tools(self, tools: List[Dict[str, Any]]) -> Any:
-        """Convert OpenAI tool schemas to Bedrock Converse toolConfig."""
-        from agent.bedrock_adapter import convert_tools_to_converse
-        return convert_tools_to_converse(tools)
-
-    def build_kwargs(
-        self,
-        model: str,
-        messages: List[Dict[str, Any]],
-        tools: Optional[List[Dict[str, Any]]] = None,
-        **params,
-    ) -> Dict[str, Any]:
-        """Build Bedrock converse() kwargs.
-
-        Calls convert_messages and convert_tools internally.
-
-        params:
-            max_tokens: int — output token limit (default 4096)
-            temperature: float | None
-            guardrail_config: dict | None — Bedrock guardrails
-            region: str — AWS region (default 'us-east-1')
-        """
-        from agent.bedrock_adapter import build_converse_kwargs
-
-        region = params.get("region", "us-east-1")
-        guardrail = params.get("guardrail_config")
-
-        kwargs = build_converse_kwargs(
-            model=model,
-            messages=messages,
-            tools=tools,
-            max_tokens=params.get("max_tokens", 4096),
-            temperature=params.get("temperature"),
-            guardrail_config=guardrail,
-        )
-        # Sentinel keys for dispatch — agent pops these before the boto3 call
-        kwargs["__bedrock_converse__"] = True
-        kwargs["__bedrock_region__"] = region
-        return kwargs
-
-    def normalize_response(self, response: Any, **kwargs) -> NormalizedResponse:
-        """Normalize Bedrock response to NormalizedResponse.
-
-        Handles two shapes:
-        1. Raw boto3 dict (from direct converse() calls)
-        2. Already-normalized SimpleNamespace with .choices (from dispatch site)
-        """
-        from agent.bedrock_adapter import normalize_converse_response
-
-        # Normalize to OpenAI-compatible SimpleNamespace
-        if hasattr(response, "choices") and response.choices:
-            # Already normalized at dispatch site
-            ns = response
-        else:
-            # Raw boto3 dict
-            ns = normalize_converse_response(response)
-
-        choice = ns.choices[0]
-        msg = choice.message
-        finish_reason = choice.finish_reason or "stop"
-
-        tool_calls = None
-        if msg.tool_calls:
-            tool_calls = [
-                ToolCall(
-                    id=tc.id,
-                    name=tc.function.name,
-                    arguments=tc.function.arguments,
-                )
-                for tc in msg.tool_calls
-            ]
-
-        usage = None
-        if hasattr(ns, "usage") and ns.usage:
-            u = ns.usage
-            usage = Usage(
-                prompt_tokens=getattr(u, "prompt_tokens", 0) or 0,
-                completion_tokens=getattr(u, "completion_tokens", 0) or 0,
-                total_tokens=getattr(u, "total_tokens", 0) or 0,
-            )
-
-        reasoning = getattr(msg, "reasoning", None) or getattr(msg, "reasoning_content", None)
-
-        return NormalizedResponse(
-            content=msg.content,
-            tool_calls=tool_calls,
-            finish_reason=finish_reason,
-            reasoning=reasoning,
-            usage=usage,
-        )
-
-    def validate_response(self, response: Any) -> bool:
-        """Check Bedrock response structure.
-
-        After normalize_converse_response, the response has OpenAI-compatible
-        .choices — same check as chat_completions.
-        """
-        if response is None:
-            return False
-        # Raw Bedrock dict response — check for 'output' key
-        if isinstance(response, dict):
-            return "output" in response
-        # Already-normalized SimpleNamespace
-        if hasattr(response, "choices"):
-            return bool(response.choices)
-        return False
-
-    def map_finish_reason(self, raw_reason: str) -> str:
-        """Map Bedrock stop reason to OpenAI finish_reason.
-
-        The adapter already does this mapping inside normalize_converse_response,
-        so this is only used for direct access to raw responses.
-        """
-        _MAP = {
-            "end_turn": "stop",
-            "tool_use": "tool_calls",
-            "max_tokens": "length",
-            "stop_sequence": "stop",
-            "guardrail_intervened": "content_filter",
-            "content_filtered": "content_filter",
-        }
-        return _MAP.get(raw_reason, "stop")
-
-
-# Auto-register on import
-from agent.transports import register_transport  # noqa: E402
-
-register_transport("bedrock_converse", BedrockTransport)

agent/transports/chat_completions.py

@@ -1,394 +0,0 @@
-"""OpenAI Chat Completions transport.
-
-Handles the default api_mode ('chat_completions') used by ~16 OpenAI-compatible
-providers (OpenRouter, Nous, NVIDIA, Qwen, Ollama, DeepSeek, xAI, Kimi, etc.).
-
-Messages and tools are already in OpenAI format — convert_messages and
-convert_tools are near-identity.  The complexity lives in build_kwargs
-which has provider-specific conditionals for max_tokens defaults,
-reasoning configuration, temperature handling, and extra_body assembly.
-"""
-
-import copy
-from typing import Any, Dict, List, Optional
-
-from agent.moonshot_schema import is_moonshot_model, sanitize_moonshot_tools
-from agent.prompt_builder import DEVELOPER_ROLE_MODELS
-from agent.transports.base import ProviderTransport
-from agent.transports.types import NormalizedResponse, ToolCall, Usage
-
-
-class ChatCompletionsTransport(ProviderTransport):
-    """Transport for api_mode='chat_completions'.
-
-    The default path for OpenAI-compatible providers.
-    """
-
-    @property
-    def api_mode(self) -> str:
-        return "chat_completions"
-
-    def convert_messages(self, messages: List[Dict[str, Any]], **kwargs) -> List[Dict[str, Any]]:
-        """Messages are already in OpenAI format — sanitize Codex leaks only.
-
-        Strips Codex Responses API fields (``codex_reasoning_items`` /
-        ``codex_message_items`` on the message, ``call_id``/``response_item_id``
-        on tool_calls) that strict chat-completions providers reject with 400/422.
-        """
-        needs_sanitize = False
-        for msg in messages:
-            if not isinstance(msg, dict):
-                continue
-            if "codex_reasoning_items" in msg or "codex_message_items" in msg:
-                needs_sanitize = True
-                break
-            tool_calls = msg.get("tool_calls")
-            if isinstance(tool_calls, list):
-                for tc in tool_calls:
-                    if isinstance(tc, dict) and ("call_id" in tc or "response_item_id" in tc):
-                        needs_sanitize = True
-                        break
-                if needs_sanitize:
-                    break
-
-        if not needs_sanitize:
-            return messages
-
-        sanitized = copy.deepcopy(messages)
-        for msg in sanitized:
-            if not isinstance(msg, dict):
-                continue
-            msg.pop("codex_reasoning_items", None)
-            msg.pop("codex_message_items", None)
-            tool_calls = msg.get("tool_calls")
-            if isinstance(tool_calls, list):
-                for tc in tool_calls:
-                    if isinstance(tc, dict):
-                        tc.pop("call_id", None)
-                        tc.pop("response_item_id", None)
-        return sanitized
-
-    def convert_tools(self, tools: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
-        """Tools are already in OpenAI format — identity."""
-        return tools
-
-    def build_kwargs(
-        self,
-        model: str,
-        messages: List[Dict[str, Any]],
-        tools: Optional[List[Dict[str, Any]]] = None,
-        **params,
-    ) -> Dict[str, Any]:
-        """Build chat.completions.create() kwargs.
-
-        This is the most complex transport method — it handles ~16 providers
-        via params rather than subclasses.
-
-        params:
-            timeout: float — API call timeout
-            max_tokens: int | None — user-configured max tokens
-            ephemeral_max_output_tokens: int | None — one-shot override (error recovery)
-            max_tokens_param_fn: callable — returns {max_tokens: N} or {max_completion_tokens: N}
-            reasoning_config: dict | None
-            request_overrides: dict | None
-            session_id: str | None
-            qwen_session_metadata: dict | None — {sessionId, promptId} precomputed
-            model_lower: str — lowercase model name for pattern matching
-            # Provider detection flags (all optional, default False)
-            is_openrouter: bool
-            is_nous: bool
-            is_qwen_portal: bool
-            is_github_models: bool
-            is_nvidia_nim: bool
-            is_kimi: bool
-            is_custom_provider: bool
-            ollama_num_ctx: int | None
-            # Provider routing
-            provider_preferences: dict | None
-            # Qwen-specific
-            qwen_prepare_fn: callable | None — runs AFTER codex sanitization
-            qwen_prepare_inplace_fn: callable | None — in-place variant for deepcopied lists
-            # Temperature
-            fixed_temperature: Any — from _fixed_temperature_for_model()
-            omit_temperature: bool
-            # Reasoning
-            supports_reasoning: bool
-            github_reasoning_extra: dict | None
-            # Claude on OpenRouter/Nous max output
-            anthropic_max_output: int | None
-            # Extra
-            extra_body_additions: dict | None — pre-built extra_body entries
-        """
-        # Codex sanitization: drop reasoning_items / call_id / response_item_id
-        sanitized = self.convert_messages(messages)
-
-        # Qwen portal prep AFTER codex sanitization.  If sanitize already
-        # deepcopied, reuse that copy via the in-place variant to avoid a
-        # second deepcopy.
-        is_qwen = params.get("is_qwen_portal", False)
-        if is_qwen:
-            qwen_prep = params.get("qwen_prepare_fn")
-            qwen_prep_inplace = params.get("qwen_prepare_inplace_fn")
-            if sanitized is messages:
-                if qwen_prep is not None:
-                    sanitized = qwen_prep(sanitized)
-            else:
-                # Already deepcopied — transform in place
-                if qwen_prep_inplace is not None:
-                    qwen_prep_inplace(sanitized)
-                elif qwen_prep is not None:
-                    sanitized = qwen_prep(sanitized)
-
-        # Developer role swap for GPT-5/Codex models
-        model_lower = params.get("model_lower", (model or "").lower())
-        if (
-            sanitized
-            and isinstance(sanitized[0], dict)
-            and sanitized[0].get("role") == "system"
-            and any(p in model_lower for p in DEVELOPER_ROLE_MODELS)
-        ):
-            sanitized = list(sanitized)
-            sanitized[0] = {**sanitized[0], "role": "developer"}
-
-        api_kwargs: Dict[str, Any] = {
-            "model": model,
-            "messages": sanitized,
-        }
-
-        timeout = params.get("timeout")
-        if timeout is not None:
-            api_kwargs["timeout"] = timeout
-
-        # Temperature
-        fixed_temp = params.get("fixed_temperature")
-        omit_temp = params.get("omit_temperature", False)
-        if omit_temp:
-            api_kwargs.pop("temperature", None)
-        elif fixed_temp is not None:
-            api_kwargs["temperature"] = fixed_temp
-
-        # Qwen metadata (caller precomputes {sessionId, promptId})
-        qwen_meta = params.get("qwen_session_metadata")
-        if qwen_meta and is_qwen:
-            api_kwargs["metadata"] = qwen_meta
-
-        # Tools
-        if tools:
-            # Moonshot/Kimi uses a stricter flavored JSON Schema.  Rewriting
-            # tool parameters here keeps aggregator routes (Nous, OpenRouter,
-            # etc.) compatible, in addition to direct moonshot.ai endpoints.
-            if is_moonshot_model(model):
-                tools = sanitize_moonshot_tools(tools)
-            api_kwargs["tools"] = tools
-
-        # max_tokens resolution — priority: ephemeral > user > provider default
-        max_tokens_fn = params.get("max_tokens_param_fn")
-        ephemeral = params.get("ephemeral_max_output_tokens")
-        max_tokens = params.get("max_tokens")
-        anthropic_max_out = params.get("anthropic_max_output")
-        is_nvidia_nim = params.get("is_nvidia_nim", False)
-        is_kimi = params.get("is_kimi", False)
-        reasoning_config = params.get("reasoning_config")
-
-        if ephemeral is not None and max_tokens_fn:
-            api_kwargs.update(max_tokens_fn(ephemeral))
-        elif max_tokens is not None and max_tokens_fn:
-            api_kwargs.update(max_tokens_fn(max_tokens))
-        elif is_nvidia_nim and max_tokens_fn:
-            api_kwargs.update(max_tokens_fn(16384))
-        elif is_qwen and max_tokens_fn:
-            api_kwargs.update(max_tokens_fn(65536))
-        elif is_kimi and max_tokens_fn:
-            # Kimi/Moonshot: 32000 matches Kimi CLI's default
-            api_kwargs.update(max_tokens_fn(32000))
-        elif anthropic_max_out is not None:
-            api_kwargs["max_tokens"] = anthropic_max_out
-
-        # Kimi: top-level reasoning_effort (unless thinking disabled)
-        if is_kimi:
-            _kimi_thinking_off = bool(
-                reasoning_config
-                and isinstance(reasoning_config, dict)
-                and reasoning_config.get("enabled") is False
-            )
-            if not _kimi_thinking_off:
-                _kimi_effort = "medium"
-                if reasoning_config and isinstance(reasoning_config, dict):
-                    _e = (reasoning_config.get("effort") or "").strip().lower()
-                    if _e in ("low", "medium", "high"):
-                        _kimi_effort = _e
-                api_kwargs["reasoning_effort"] = _kimi_effort
-
-        # extra_body assembly
-        extra_body: Dict[str, Any] = {}
-
-        is_openrouter = params.get("is_openrouter", False)
-        is_nous = params.get("is_nous", False)
-        is_github_models = params.get("is_github_models", False)
-
-        provider_prefs = params.get("provider_preferences")
-        if provider_prefs and is_openrouter:
-            extra_body["provider"] = provider_prefs
-
-        # Kimi extra_body.thinking
-        if is_kimi:
-            _kimi_thinking_enabled = True
-            if reasoning_config and isinstance(reasoning_config, dict):
-                if reasoning_config.get("enabled") is False:
-                    _kimi_thinking_enabled = False
-            extra_body["thinking"] = {
-                "type": "enabled" if _kimi_thinking_enabled else "disabled",
-            }
-
-        # Reasoning
-        if params.get("supports_reasoning", False):
-            if is_github_models:
-                gh_reasoning = params.get("github_reasoning_extra")
-                if gh_reasoning is not None:
-                    extra_body["reasoning"] = gh_reasoning
-            else:
-                if reasoning_config is not None:
-                    rc = dict(reasoning_config)
-                    if is_nous and rc.get("enabled") is False:
-                        pass  # omit for Nous when disabled
-                    else:
-                        extra_body["reasoning"] = rc
-                else:
-                    extra_body["reasoning"] = {"enabled": True, "effort": "medium"}
-
-        if is_nous:
-            extra_body["tags"] = ["product=hermes-agent"]
-
-        # Ollama num_ctx
-        ollama_ctx = params.get("ollama_num_ctx")
-        if ollama_ctx:
-            options = extra_body.get("options", {})
-            options["num_ctx"] = ollama_ctx
-            extra_body["options"] = options
-
-        # Ollama/custom think=false
-        if params.get("is_custom_provider", False):
-            if reasoning_config and isinstance(reasoning_config, dict):
-                _effort = (reasoning_config.get("effort") or "").strip().lower()
-                _enabled = reasoning_config.get("enabled", True)
-                if _effort == "none" or _enabled is False:
-                    extra_body["think"] = False
-
-        if is_qwen:
-            extra_body["vl_high_resolution_images"] = True
-
-        # Merge any pre-built extra_body additions
-        additions = params.get("extra_body_additions")
-        if additions:
-            extra_body.update(additions)
-
-        if extra_body:
-            api_kwargs["extra_body"] = extra_body
-
-        # Request overrides last (service_tier etc.)
-        overrides = params.get("request_overrides")
-        if overrides:
-            api_kwargs.update(overrides)
-
-        return api_kwargs
-
-    def normalize_response(self, response: Any, **kwargs) -> NormalizedResponse:
-        """Normalize OpenAI ChatCompletion to NormalizedResponse.
-
-        For chat_completions, this is near-identity — the response is already
-        in OpenAI format.  extra_content on tool_calls (Gemini thought_signature)
-        is preserved via ToolCall.provider_data.  reasoning_details (OpenRouter
-        unified format) and reasoning_content (DeepSeek/Moonshot) are also
-        preserved for downstream replay.
-        """
-        choice = response.choices[0]
-        msg = choice.message
-        finish_reason = choice.finish_reason or "stop"
-
-        tool_calls = None
-        if msg.tool_calls:
-            tool_calls = []
-            for tc in msg.tool_calls:
-                # Preserve provider-specific extras on the tool call.
-                # Gemini 3 thinking models attach extra_content with
-                # thought_signature — without replay on the next turn the API
-                # rejects the request with 400.
-                tc_provider_data: Dict[str, Any] = {}
-                extra = getattr(tc, "extra_content", None)
-                if extra is None and hasattr(tc, "model_extra"):
-                    extra = (tc.model_extra or {}).get("extra_content")
-                if extra is not None:
-                    if hasattr(extra, "model_dump"):
-                        try:
-                            extra = extra.model_dump()
-                        except Exception:
-                            pass
-                    tc_provider_data["extra_content"] = extra
-                tool_calls.append(ToolCall(
-                    id=tc.id,
-                    name=tc.function.name,
-                    arguments=tc.function.arguments,
-                    provider_data=tc_provider_data or None,
-                ))
-
-        usage = None
-        if hasattr(response, "usage") and response.usage:
-            u = response.usage
-            usage = Usage(
-                prompt_tokens=getattr(u, "prompt_tokens", 0) or 0,
-                completion_tokens=getattr(u, "completion_tokens", 0) or 0,
-                total_tokens=getattr(u, "total_tokens", 0) or 0,
-            )
-
-        # Preserve reasoning fields separately.  DeepSeek/Moonshot use
-        # ``reasoning_content``; others use ``reasoning``.  Downstream code
-        # (_extract_reasoning, thinking-prefill retry) reads both distinctly,
-        # so keep them apart in provider_data rather than merging.
-        reasoning = getattr(msg, "reasoning", None)
-        reasoning_content = getattr(msg, "reasoning_content", None)
-
-        provider_data: Dict[str, Any] = {}
-        if reasoning_content:
-            provider_data["reasoning_content"] = reasoning_content
-        rd = getattr(msg, "reasoning_details", None)
-        if rd:
-            provider_data["reasoning_details"] = rd
-
-        return NormalizedResponse(
-            content=msg.content,
-            tool_calls=tool_calls,
-            finish_reason=finish_reason,
-            reasoning=reasoning,
-            usage=usage,
-            provider_data=provider_data or None,
-        )
-
-    def validate_response(self, response: Any) -> bool:
-        """Check that response has valid choices."""
-        if response is None:
-            return False
-        if not hasattr(response, "choices") or response.choices is None:
-            return False
-        if not response.choices:
-            return False
-        return True
-
-    def extract_cache_stats(self, response: Any) -> Optional[Dict[str, int]]:
-        """Extract OpenRouter/OpenAI cache stats from prompt_tokens_details."""
-        usage = getattr(response, "usage", None)
-        if usage is None:
-            return None
-        details = getattr(usage, "prompt_tokens_details", None)
-        if details is None:
-            return None
-        cached = getattr(details, "cached_tokens", 0) or 0
-        written = getattr(details, "cache_write_tokens", 0) or 0
-        if cached or written:
-            return {"cached_tokens": cached, "creation_tokens": written}
-        return None
-
-
-# Auto-register on import
-from agent.transports import register_transport  # noqa: E402
-
-register_transport("chat_completions", ChatCompletionsTransport)

agent/transports/codex.py

@@ -1,237 +0,0 @@
-"""OpenAI Responses API (Codex) transport.
-
-Delegates to the existing adapter functions in agent/codex_responses_adapter.py.
-This transport owns format conversion and normalization — NOT client lifecycle,
-streaming, or the _run_codex_stream() call path.
-"""
-
-from typing import Any, Dict, List, Optional
-
-from agent.transports.base import ProviderTransport
-from agent.transports.types import NormalizedResponse, ToolCall, Usage
-
-
-class ResponsesApiTransport(ProviderTransport):
-    """Transport for api_mode='codex_responses'.
-
-    Wraps the functions extracted into codex_responses_adapter.py (PR 1).
-    """
-
-    @property
-    def api_mode(self) -> str:
-        return "codex_responses"
-
-    def convert_messages(self, messages: List[Dict[str, Any]], **kwargs) -> Any:
-        """Convert OpenAI chat messages to Responses API input items."""
-        from agent.codex_responses_adapter import _chat_messages_to_responses_input
-        return _chat_messages_to_responses_input(messages)
-
-    def convert_tools(self, tools: List[Dict[str, Any]]) -> Any:
-        """Convert OpenAI tool schemas to Responses API function definitions."""
-        from agent.codex_responses_adapter import _responses_tools
-        return _responses_tools(tools)
-
-    def build_kwargs(
-        self,
-        model: str,
-        messages: List[Dict[str, Any]],
-        tools: Optional[List[Dict[str, Any]]] = None,
-        **params,
-    ) -> Dict[str, Any]:
-        """Build Responses API kwargs.
-
-        Calls convert_messages and convert_tools internally.
-
-        params:
-            instructions: str — system prompt (extracted from messages[0] if not given)
-            reasoning_config: dict | None — {effort, enabled}
-            session_id: str | None — used for prompt_cache_key + xAI conv header
-            max_tokens: int | None — max_output_tokens
-            request_overrides: dict | None — extra kwargs merged in
-            provider: str | None — provider name for backend-specific logic
-            base_url: str | None — endpoint URL
-            base_url_hostname: str | None — hostname for backend detection
-            is_github_responses: bool — Copilot/GitHub models backend
-            is_codex_backend: bool — chatgpt.com/backend-api/codex
-            is_xai_responses: bool — xAI/Grok backend
-            github_reasoning_extra: dict | None — Copilot reasoning params
-        """
-        from agent.codex_responses_adapter import (
-            _chat_messages_to_responses_input,
-            _responses_tools,
-        )
-
-        from run_agent import DEFAULT_AGENT_IDENTITY
-
-        instructions = params.get("instructions", "")
-        payload_messages = messages
-        if not instructions:
-            if messages and messages[0].get("role") == "system":
-                instructions = str(messages[0].get("content") or "").strip()
-                payload_messages = messages[1:]
-        if not instructions:
-            instructions = DEFAULT_AGENT_IDENTITY
-
-        is_github_responses = params.get("is_github_responses", False)
-        is_codex_backend = params.get("is_codex_backend", False)
-        is_xai_responses = params.get("is_xai_responses", False)
-
-        # Resolve reasoning effort
-        reasoning_effort = "medium"
-        reasoning_enabled = True
-        reasoning_config = params.get("reasoning_config")
-        if reasoning_config and isinstance(reasoning_config, dict):
-            if reasoning_config.get("enabled") is False:
-                reasoning_enabled = False
-            elif reasoning_config.get("effort"):
-                reasoning_effort = reasoning_config["effort"]
-
-        _effort_clamp = {"minimal": "low"}
-        reasoning_effort = _effort_clamp.get(reasoning_effort, reasoning_effort)
-
-        kwargs = {
-            "model": model,
-            "instructions": instructions,
-            "input": _chat_messages_to_responses_input(payload_messages),
-            "tools": _responses_tools(tools),
-            "tool_choice": "auto",
-            "parallel_tool_calls": True,
-            "store": False,
-        }
-
-        session_id = params.get("session_id")
-        if not is_github_responses and session_id:
-            kwargs["prompt_cache_key"] = session_id
-
-        if reasoning_enabled and is_xai_responses:
-            kwargs["include"] = ["reasoning.encrypted_content"]
-        elif reasoning_enabled:
-            if is_github_responses:
-                github_reasoning = params.get("github_reasoning_extra")
-                if github_reasoning is not None:
-                    kwargs["reasoning"] = github_reasoning
-            else:
-                kwargs["reasoning"] = {"effort": reasoning_effort, "summary": "auto"}
-                kwargs["include"] = ["reasoning.encrypted_content"]
-        elif not is_github_responses and not is_xai_responses:
-            kwargs["include"] = []
-
-        request_overrides = params.get("request_overrides")
-        if request_overrides:
-            kwargs.update(request_overrides)
-
-        if is_codex_backend:
-            prompt_cache_key = kwargs.get("prompt_cache_key")
-            cache_scope_id = str(prompt_cache_key or session_id or "").strip()
-            if cache_scope_id:
-                existing_extra_headers = kwargs.get("extra_headers")
-                merged_extra_headers: Dict[str, str] = {}
-                if isinstance(existing_extra_headers, dict):
-                    merged_extra_headers.update(
-                        {
-                            str(key): str(value)
-                            for key, value in existing_extra_headers.items()
-                            if key and value is not None
-                        }
-                    )
-                merged_extra_headers["session_id"] = cache_scope_id
-                merged_extra_headers["x-client-request-id"] = cache_scope_id
-                kwargs["extra_headers"] = merged_extra_headers
-
-        max_tokens = params.get("max_tokens")
-        if max_tokens is not None and not is_codex_backend:
-            kwargs["max_output_tokens"] = max_tokens
-
-        if is_xai_responses and session_id:
-            kwargs["extra_headers"] = {"x-grok-conv-id": session_id}
-
-        return kwargs
-
-    def normalize_response(self, response: Any, **kwargs) -> NormalizedResponse:
-        """Normalize Codex Responses API response to NormalizedResponse."""
-        from agent.codex_responses_adapter import (
-            _normalize_codex_response,
-            _extract_responses_message_text,
-            _extract_responses_reasoning_text,
-        )
-
-        # _normalize_codex_response returns (SimpleNamespace, finish_reason_str)
-        msg, finish_reason = _normalize_codex_response(response)
-
-        tool_calls = None
-        if msg and msg.tool_calls:
-            tool_calls = []
-            for tc in msg.tool_calls:
-                provider_data = {}
-                if hasattr(tc, "call_id") and tc.call_id:
-                    provider_data["call_id"] = tc.call_id
-                if hasattr(tc, "response_item_id") and tc.response_item_id:
-                    provider_data["response_item_id"] = tc.response_item_id
-                tool_calls.append(ToolCall(
-                    id=tc.id if hasattr(tc, "id") else (tc.function.name if hasattr(tc, "function") else None),
-                    name=tc.function.name if hasattr(tc, "function") else getattr(tc, "name", ""),
-                    arguments=tc.function.arguments if hasattr(tc, "function") else getattr(tc, "arguments", "{}"),
-                    provider_data=provider_data or None,
-                ))
-
-        # Extract reasoning items for provider_data
-        provider_data = {}
-        if msg and hasattr(msg, "codex_reasoning_items") and msg.codex_reasoning_items:
-            provider_data["codex_reasoning_items"] = msg.codex_reasoning_items
-        if msg and hasattr(msg, "codex_message_items") and msg.codex_message_items:
-            provider_data["codex_message_items"] = msg.codex_message_items
-        if msg and hasattr(msg, "reasoning_details") and msg.reasoning_details:
-            provider_data["reasoning_details"] = msg.reasoning_details
-
-        return NormalizedResponse(
-            content=msg.content if msg else None,
-            tool_calls=tool_calls,
-            finish_reason=finish_reason or "stop",
-            reasoning=msg.reasoning if msg and hasattr(msg, "reasoning") else None,
-            usage=None,  # Codex usage is extracted separately in normalize_usage()
-            provider_data=provider_data or None,
-        )
-
-    def validate_response(self, response: Any) -> bool:
-        """Check Codex Responses API response has valid output structure.
-
-        Returns True only if response.output is a non-empty list.
-        Does NOT check output_text fallback — the caller handles that
-        with diagnostic logging for stream backfill recovery.
-        """
-        if response is None:
-            return False
-        output = getattr(response, "output", None)
-        if not isinstance(output, list) or not output:
-            return False
-        return True
-
-    def preflight_kwargs(self, api_kwargs: Any, *, allow_stream: bool = False) -> dict:
-        """Validate and sanitize Codex API kwargs before the call.
-
-        Normalizes input items, strips unsupported fields, validates structure.
-        """
-        from agent.codex_responses_adapter import _preflight_codex_api_kwargs
-        return _preflight_codex_api_kwargs(api_kwargs, allow_stream=allow_stream)
-
-    def map_finish_reason(self, raw_reason: str) -> str:
-        """Map Codex response.status to OpenAI finish_reason.
-
-        Codex uses response.status ('completed', 'incomplete') +
-        response.incomplete_details.reason for granular mapping.
-        This method handles the simple status string; the caller
-        should check incomplete_details separately for 'max_output_tokens'.
-        """
-        _MAP = {
-            "completed": "stop",
-            "incomplete": "length",
-            "failed": "stop",
-            "cancelled": "stop",
-        }
-        return _MAP.get(raw_reason, "stop")
-
-
-# Auto-register on import
-from agent.transports import register_transport  # noqa: E402
-
-register_transport("codex_responses", ResponsesApiTransport)

agent/transports/types.py

@@ -37,44 +37,6 @@ class ToolCall:
     arguments: str  # JSON string
     provider_data: Optional[Dict[str, Any]] = field(default=None, repr=False)
 
-    # ── Backward compatibility ──────────────────────────────────
-    # The agent loop reads tc.function.name / tc.function.arguments
-    # throughout run_agent.py (45+ sites).  These properties let
-    # NormalizedResponse pass through without the _nr_to_assistant_message
-    # shim, while keeping ToolCall's canonical fields flat.
-    @property
-    def type(self) -> str:
-        return "function"
-
-    @property
-    def function(self) -> "ToolCall":
-        """Return self so tc.function.name / tc.function.arguments work."""
-        return self
-
-    @property
-    def call_id(self) -> Optional[str]:
-        """Codex call_id from provider_data, accessed via getattr by _build_assistant_message."""
-        return (self.provider_data or {}).get("call_id")
-
-    @property
-    def response_item_id(self) -> Optional[str]:
-        """Codex response_item_id from provider_data."""
-        return (self.provider_data or {}).get("response_item_id")
-
-    @property
-    def extra_content(self) -> Optional[Dict[str, Any]]:
-        """Gemini extra_content (thought_signature) from provider_data.
-
-        Gemini 3 thinking models attach ``extra_content`` with a
-        ``thought_signature`` to each tool call.  This signature must be
-        replayed on subsequent API calls — without it the API rejects the
-        request with HTTP 400.  The chat_completions transport stores this
-        in ``provider_data["extra_content"]``; this property exposes it so
-        ``_build_assistant_message`` can ``getattr(tc, "extra_content")``
-        uniformly.
-        """
-        return (self.provider_data or {}).get("extra_content")
-
 
 @dataclass
 class Usage:
@@ -97,7 +59,7 @@ class NormalizedResponse:
     Response-level ``provider_data`` examples:
 
     * Anthropic: ``{"reasoning_details": [...]}``
-    * Codex: ``{"codex_reasoning_items": [...], "codex_message_items": [...]}``
+    * Codex: ``{"codex_reasoning_items": [...]}``
     * Others: ``None``
     """
 
@@ -108,29 +70,6 @@ class NormalizedResponse:
     usage: Optional[Usage] = None
     provider_data: Optional[Dict[str, Any]] = field(default=None, repr=False)
 
-    # ── Backward compatibility ──────────────────────────────────
-    # The shim _nr_to_assistant_message() mapped these from provider_data.
-    # These properties let NormalizedResponse pass through directly.
-    @property
-    def reasoning_content(self) -> Optional[str]:
-        pd = self.provider_data or {}
-        return pd.get("reasoning_content")
-
-    @property
-    def reasoning_details(self):
-        pd = self.provider_data or {}
-        return pd.get("reasoning_details")
-
-    @property
-    def codex_reasoning_items(self):
-        pd = self.provider_data or {}
-        return pd.get("codex_reasoning_items")
-
-    @property
-    def codex_message_items(self):
-        pd = self.provider_data or {}
-        return pd.get("codex_message_items")
-
 
 # ---------------------------------------------------------------------------
 # Factory helpers

agent/usage_pricing.py

@@ -533,22 +533,10 @@ def normalize_usage(
         prompt_total = _to_int(getattr(response_usage, "prompt_tokens", 0))
         output_tokens = _to_int(getattr(response_usage, "completion_tokens", 0))
         details = getattr(response_usage, "prompt_tokens_details", None)
-        # Primary: OpenAI-style prompt_tokens_details. Fallback: Anthropic-style
-        # top-level fields that some OpenAI-compatible proxies (OpenRouter, Vercel
-        # AI Gateway, Cline) expose when routing Claude models — without this
-        # fallback, cache writes are undercounted as 0 and cache reads can be
-        # missed when the proxy only surfaces them at the top level.
-        # Port of cline/cline#10266.
         cache_read_tokens = _to_int(getattr(details, "cached_tokens", 0) if details else 0)
-        if not cache_read_tokens:
-            cache_read_tokens = _to_int(getattr(response_usage, "cache_read_input_tokens", 0))
         cache_write_tokens = _to_int(
             getattr(details, "cache_write_tokens", 0) if details else 0
         )
-        if not cache_write_tokens:
-            cache_write_tokens = _to_int(
-                getattr(response_usage, "cache_creation_input_tokens", 0)
-            )
         input_tokens = max(0, prompt_total - cache_read_tokens - cache_write_tokens)
 
     reasoning_tokens = 0

batch_runner.py

@@ -951,9 +951,13 @@ class BatchRunner:
                     root_logger.setLevel(original_level)
         
         # Aggregate all batch statistics and update checkpoint
+        all_completed_prompts = list(completed_prompts_set)
         total_reasoning_stats = {"total_assistant_turns": 0, "turns_with_reasoning": 0, "turns_without_reasoning": 0}
-
+        
         for batch_result in results:
+            # Add newly completed prompts
+            all_completed_prompts.extend(batch_result.get("completed_prompts", []))
+            
             # Aggregate tool stats
             for tool_name, stats in batch_result.get("tool_stats", {}).items():
                 if tool_name not in total_tool_stats:
@@ -973,7 +977,7 @@ class BatchRunner:
         
         # Save final checkpoint (best-effort; incremental writes already happened)
         try:
-            checkpoint_data["completed_prompts"] = sorted(completed_prompts_set)
+            checkpoint_data["completed_prompts"] = all_completed_prompts
             self._save_checkpoint(checkpoint_data, lock=checkpoint_lock)
         except Exception as ckpt_err:
             print(f"⚠️  Warning: Failed to save final checkpoint: {ckpt_err}")

cli-config.yaml.example

@@ -326,16 +326,6 @@ compression:
   # To pin a specific model/provider for compression summaries, use the
   # auxiliary section below (auxiliary.compression.provider / model).
 
-# =============================================================================
-# Anthropic prompt caching TTL
-# =============================================================================
-# When prompt caching is active (Claude via OpenRouter or native Anthropic),
-# Anthropic supports two TTL tiers for cached prefixes: "5m" (default) and
-# "1h". Other values are ignored and "5m" is used.
-#
-prompt_caching:
-  cache_ttl: "5m" # use "1h" for long sessions with pauses between turns
-
 # =============================================================================
 # Auxiliary Models (Advanced — Experimental)
 # =============================================================================
@@ -517,13 +507,6 @@ agent:
   # finish, then interrupts anything still running after this timeout.
   # 0 = no drain, interrupt immediately.
   # restart_drain_timeout: 60
-
-  # Max app-level retry attempts for API errors (connection drops, provider
-  # timeouts, 5xx, etc.) before the agent surfaces the failure. Lower this
-  # to 1 if you use fallback providers and want fast failover on flaky
-  # primaries (default 3). The OpenAI SDK does its own low-level retries
-  # underneath this wrapper — this is the Hermes-level loop.
-  # api_max_retries: 3
   
   # Enable verbose logging
   verbose: false
@@ -606,7 +589,6 @@ platform_toolsets:
   signal: [hermes-signal]
   homeassistant: [hermes-homeassistant]
   qqbot: [hermes-qqbot]
-  yuanbao: [hermes-yuanbao]
 
 # =============================================================================
 # Gateway Platform Settings
@@ -788,20 +770,10 @@ code_execution:
 # Subagent Delegation
 # =============================================================================
 # The delegate_task tool spawns child agents with isolated context.
-# Supports single tasks and batch mode (default 3 parallel, configurable).
+# Supports single tasks and batch mode (up to 3 parallel).
 delegation:
   max_iterations: 50                          # Max tool-calling turns per child (default: 50)
-  # max_concurrent_children: 3                # Max parallel child agents per batch (default: 3, floor: 1, no ceiling).
-                                              # WARNING: values above 10 multiply API cost linearly.
-  # max_spawn_depth: 1                        # Delegation tree depth cap (range: 1-3, default: 1 = flat).
-                                              # Raise to 2 to allow workers to spawn their own subagents.
-                                              # Requires role="orchestrator" on intermediate agents.
-  # orchestrator_enabled: true                # Kill switch for role="orchestrator" children (default: true).
-  # subagent_auto_approve: false              # When a subagent hits a dangerous-command approval prompt, auto-deny (default: false)
-                                              # or auto-approve "once" (true) instead of blocking on stdin.
-                                              # The parent TUI owns stdin, so blocking would deadlock; non-interactive resolution is required.
-                                              # Both choices emit a logger.warning audit line. Flip to true only for cron/batch pipelines.
-  # inherit_mcp_toolsets: true                # When explicit child toolsets are narrowed, also keep the parent's MCP toolsets (default: true). Set false for strict intersection.
+  default_toolsets: ["terminal", "file", "web"]  # Default toolsets for subagents
   # model: "google/gemini-3-flash-preview"    # Override model for subagents (empty = inherit parent)
   # provider: "openrouter"                    # Override provider for subagents (empty = inherit parent)
   #                                           # Resolves full credentials (base_url, api_key) automatically.
@@ -825,9 +797,7 @@ delegation:
 # Display
 # =============================================================================
 display:
-  # Use compact banner mode (hides the ASCII-art banner, shows a single line).
-  #   true:  Compact single-line banner
-  #   false: Full ASCII banner with tool/skill summary (default)
+  # Use compact banner mode
   compact: false
 
   # Tool progress display level (CLI and gateway)
@@ -841,19 +811,12 @@ display:
   # Gateway-only natural mid-turn assistant updates.
   # When true, completed assistant status messages are sent as separate chat
   # messages. This is independent of tool_progress and gateway streaming.
-  #   true:  Send mid-turn assistant updates as separate messages (default)
-  #   false: Only send the final response
   interim_assistant_messages: true
 
-  # What Enter does when Hermes is already busy (CLI and gateway platforms).
+  # What Enter does when Hermes is already busy in the CLI.
   #   interrupt: Interrupt the current run and redirect Hermes (default)
   #   queue:     Queue your message for the next turn
-  #   steer:     Inject your message mid-run via /steer, arriving at the agent
-  #              after the next tool call — no interrupt, no role violation.
-  #              Falls back to 'queue' if the agent isn't running yet or if
-  #              images are attached (steer only carries text).
-  # Ctrl+C (or /stop in gateway) always interrupts regardless of this setting.
-  # Toggle at runtime with /busy <interrupt|queue|steer>.
+  # Ctrl+C always interrupts regardless of this setting.
   busy_input_mode: interrupt
 
   # Background process notifications (gateway/messaging only).
@@ -869,22 +832,17 @@ display:
   # Play terminal bell when agent finishes a response.
   # Useful for long-running tasks — your terminal will ding when the agent is done.
   # Works over SSH. Most terminals can be configured to flash the taskbar or play a sound.
-  #   true:  Ring the terminal bell on each response
-  #   false: Silent (default)
   bell_on_complete: false
 
   # Show model reasoning/thinking before each response.
   # When enabled, a dim box shows the model's thought process above the response.
   # Toggle at runtime with /reasoning show or /reasoning hide.
-  #   true:  Show the reasoning box
-  #   false: Hide reasoning (default)
   show_reasoning: false
 
   # Stream tokens to the terminal as they arrive instead of waiting for the
   # full response. The response box opens on first token and text appears
   # line-by-line. Tool calls are still captured silently.
-  #   true:  Stream tokens as they arrive (default)
-  #   false: Wait for the full response before rendering
+  # Stream tokens to the terminal in real-time. Disable to wait for full responses.
   streaming: true
 
   # ───────────────────────────────────────────────────────────────────────────
@@ -894,15 +852,10 @@ display:
   # response box label, and branding text. Change at runtime with /skin <name>.
   #
   # Built-in skins:
-  #   default        — Classic Hermes gold/kawaii
-  #   ares           — Crimson/bronze war-god theme with spinner wings
-  #   mono           — Clean grayscale monochrome
-  #   slate          — Cool blue developer-focused
-  #   daylight       — Bright light-mode theme
-  #   warm-lightmode — Warm paper-tone light-mode theme
-  #   poseidon       — Sea-green/teal Olympian theme
-  #   sisyphus       — Earthy stone-and-moss theme
-  #   charizard      — Fiery orange dragon theme
+  #   default  — Classic Hermes gold/kawaii
+  #   ares     — Crimson/bronze war-god theme with spinner wings
+  #   mono     — Clean grayscale monochrome
+  #   slate    — Cool blue developer-focused
   #
   # Custom skins: drop a YAML file in ~/.hermes/skins/<name>.yaml
   # Schema (all fields optional, missing values inherit from default):

cron/jobs.py

@@ -16,7 +16,7 @@ import uuid
 from datetime import datetime, timedelta
 from pathlib import Path
 from hermes_constants import get_hermes_home
-from typing import Optional, Dict, List, Any, Union
+from typing import Optional, Dict, List, Any
 
 logger = logging.getLogger(__name__)
 
@@ -371,39 +371,6 @@ def save_jobs(jobs: List[Dict[str, Any]]):
         raise
 
 
-def _normalize_workdir(workdir: Optional[str]) -> Optional[str]:
-    """Normalize and validate a cron job workdir.
-
-    Rules:
-      - Empty / None → None (feature off, preserves old behaviour).
-      - ``~`` is expanded.  Relative paths are rejected — cron jobs run detached
-        from any shell cwd, so relative paths have no stable meaning.
-      - The path must exist and be a directory at create/update time.  We do
-        NOT re-check at run time (a user might briefly unmount the dir; the
-        scheduler will just fall back to old behaviour with a logged warning).
-
-    Returns the absolute path string, or None when disabled.
-    Raises ValueError on invalid input.
-    """
-    if workdir is None:
-        return None
-    raw = str(workdir).strip()
-    if not raw:
-        return None
-    expanded = Path(raw).expanduser()
-    if not expanded.is_absolute():
-        raise ValueError(
-            f"Cron workdir must be an absolute path (got {raw!r}). "
-            f"Cron jobs run detached from any shell cwd, so relative paths are ambiguous."
-        )
-    resolved = expanded.resolve()
-    if not resolved.exists():
-        raise ValueError(f"Cron workdir does not exist: {resolved}")
-    if not resolved.is_dir():
-        raise ValueError(f"Cron workdir is not a directory: {resolved}")
-    return str(resolved)
-
-
 def create_job(
     prompt: str,
     schedule: str,
@@ -417,9 +384,6 @@ def create_job(
     provider: Optional[str] = None,
     base_url: Optional[str] = None,
     script: Optional[str] = None,
-    context_from: Optional[Union[str, List[str]]] = None,
-    enabled_toolsets: Optional[List[str]] = None,
-    workdir: Optional[str] = None,
 ) -> Dict[str, Any]:
     """
     Create a new cron job.
@@ -439,18 +403,6 @@ def create_job(
         script: Optional path to a Python script whose stdout is injected into the
                 prompt each run.  The script runs before the agent turn, and its output
                 is prepended as context.  Useful for data collection / change detection.
-        context_from: Optional job ID (or list of job IDs) whose most recent output
-                      is injected into the prompt as context before each run.
-                      Useful for chaining cron jobs: job A finds data, job B processes it.
-        enabled_toolsets: Optional list of toolset names to restrict the agent to.
-                          When set, only tools from these toolsets are loaded, reducing
-                          token overhead. When omitted, all default tools are loaded.
-        workdir: Optional absolute path.  When set, the job runs as if launched
-                from that directory: AGENTS.md / CLAUDE.md / .cursorrules from
-                that directory are injected into the system prompt, and the
-                terminal/file/code_exec tools use it as their working directory
-                (via TERMINAL_CWD).  When unset, the old behaviour is preserved
-                (no context files injected, tools use the scheduler's cwd).
 
     Returns:
         The created job dict
@@ -481,17 +433,6 @@ def create_job(
     normalized_base_url = normalized_base_url or None
     normalized_script = str(script).strip() if isinstance(script, str) else None
     normalized_script = normalized_script or None
-    normalized_toolsets = [str(t).strip() for t in enabled_toolsets if str(t).strip()] if enabled_toolsets else None
-    normalized_toolsets = normalized_toolsets or None
-    normalized_workdir = _normalize_workdir(workdir)
-
-    # Normalize context_from: accept str or list of str, store as list or None
-    if isinstance(context_from, str):
-        context_from = [context_from.strip()] if context_from.strip() else None
-    elif isinstance(context_from, list):
-        context_from = [str(j).strip() for j in context_from if str(j).strip()] or None
-    else:
-        context_from = None
 
     label_source = (prompt or (normalized_skills[0] if normalized_skills else None)) or "cron job"
     job = {
@@ -504,7 +445,6 @@ def create_job(
         "provider": normalized_provider,
         "base_url": normalized_base_url,
         "script": normalized_script,
-        "context_from": context_from,
         "schedule": parsed_schedule,
         "schedule_display": parsed_schedule.get("display", schedule),
         "repeat": {
@@ -524,8 +464,6 @@ def create_job(
         # Delivery configuration
         "deliver": deliver,
         "origin": origin,  # Tracks where job was created for "origin" delivery
-        "enabled_toolsets": normalized_toolsets,
-        "workdir": normalized_workdir,
     }
 
     jobs = load_jobs()
@@ -559,15 +497,6 @@ def update_job(job_id: str, updates: Dict[str, Any]) -> Optional[Dict[str, Any]]
         if job["id"] != job_id:
             continue
 
-        # Validate / normalize workdir if present in updates.  Empty string or
-        # None both mean "clear the field" (restore old behaviour).
-        if "workdir" in updates:
-            _wd = updates["workdir"]
-            if _wd in (None, "", False):
-                updates["workdir"] = None
-            else:
-                updates["workdir"] = _normalize_workdir(_wd)
-
         updated = _apply_skill_fields({**job, **updates})
         schedule_changed = "schedule" in updates
 

cron/scheduler.py

@@ -40,44 +40,13 @@ from hermes_time import now as _hermes_now
 
 logger = logging.getLogger(__name__)
 
-
-def _resolve_cron_enabled_toolsets(job: dict, cfg: dict) -> list[str] | None:
-    """Resolve the toolset list for a cron job.
-
-    Precedence:
-    1. Per-job ``enabled_toolsets`` (set via ``cronjob`` tool on create/update).
-       Keeps the agent's job-scoped toolset override intact — #6130.
-    2. Per-platform ``hermes tools`` config for the ``cron`` platform.
-       Mirrors gateway behavior (``_get_platform_tools(cfg, platform_key)``)
-       so users can gate cron toolsets globally without recreating every job.
-    3. ``None`` on any lookup failure — AIAgent loads the full default set
-       (legacy behavior before this change, preserved as the safety net).
-
-    _DEFAULT_OFF_TOOLSETS ({moa, homeassistant, rl}) are removed by
-    ``_get_platform_tools`` for unconfigured platforms, so fresh installs
-    get cron WITHOUT ``moa`` by default (issue reported by Norbert —
-    surprise $4.63 run).
-    """
-    per_job = job.get("enabled_toolsets")
-    if per_job:
-        return per_job
-    try:
-        from hermes_cli.tools_config import _get_platform_tools  # lazy: avoid heavy import at cron module load
-        return sorted(_get_platform_tools(cfg or {}, "cron"))
-    except Exception as exc:
-        logger.warning(
-            "Cron toolset resolution failed, falling back to full default toolset: %s",
-            exc,
-        )
-        return None
-
 # Valid delivery platforms — used to validate user-supplied platform names
 # in cron delivery targets, preventing env var enumeration via crafted names.
 _KNOWN_DELIVERY_PLATFORMS = frozenset({
     "telegram", "discord", "slack", "whatsapp", "signal",
     "matrix", "mattermost", "homeassistant", "dingtalk", "feishu",
     "wecom", "wecom_callback", "weixin", "sms", "email", "webhook", "bluebubbles",
-    "qqbot", "yuanbao",
+    "qqbot",
 })
 
 # Platforms that support a configured cron/notification home target, mapped to
@@ -337,7 +306,6 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> Option
         "sms": Platform.SMS,
         "bluebubbles": Platform.BLUEBUBBLES,
         "qqbot": Platform.QQBOT,
-        "yuanbao": Platform.YUANBAO,
     }
 
     # Optionally wrap the content with a header/footer so the user knows this
@@ -672,51 +640,10 @@ def _build_job_prompt(job: dict, prerun_script: Optional[tuple] = None) -> str:
                 f"{prompt}"
             )
 
-    # Inject output from referenced cron jobs as context.
-    context_from = job.get("context_from")
-    if context_from:
-        from cron.jobs import OUTPUT_DIR
-        if isinstance(context_from, str):
-            context_from = [context_from]
-        for source_job_id in context_from:
-            # Guard against path traversal — valid job IDs are 12-char hex strings
-            if not source_job_id or not all(c in "0123456789abcdef" for c in source_job_id):
-                logger.warning("context_from: skipping invalid job_id %r", source_job_id)
-                continue
-            try:
-                job_output_dir = OUTPUT_DIR / source_job_id
-                if not job_output_dir.exists():
-                    continue  # silent skip — no output yet
-                output_files = sorted(
-                    job_output_dir.glob("*.md"),
-                    key=lambda f: f.stat().st_mtime,
-                    reverse=True,
-                )
-                if not output_files:
-                    continue  # silent skip — no output yet
-                latest_output = output_files[0].read_text(encoding="utf-8").strip()
-                # Truncate to 8K characters to avoid prompt bloat
-                _MAX_CONTEXT_CHARS = 8000
-                if len(latest_output) > _MAX_CONTEXT_CHARS:
-                    latest_output = latest_output[:_MAX_CONTEXT_CHARS] + "\n\n[... output truncated ...]"
-                if latest_output:
-                    prompt = (
-                        f"## Output from job '{source_job_id}'\n"
-                        "The following is the most recent output from a preceding "
-                        "cron job. Use it as context for your analysis.\n\n"
-                        f"```\n{latest_output}\n```\n\n"
-                        f"{prompt}"
-                    )
-                else:
-                    continue  # silent skip — empty output
-            except (OSError, PermissionError) as e:
-                logger.warning("context_from: failed to read output for job %r: %s", source_job_id, e)
-                # silent skip — do not pollute the prompt with error messages
-
     # Always prepend cron execution guidance so the agent knows how
     # delivery works and can suppress delivery when appropriate.
     cron_hint = (
-        "[IMPORTANT: You are running as a scheduled cron job. "
+        "[SYSTEM: You are running as a scheduled cron job. "
         "DELIVERY: Your final response will be automatically delivered "
         "to the user — do NOT use send_message or try to deliver "
         "the output yourself. Just produce your report/output as your "
@@ -752,7 +679,7 @@ def _build_job_prompt(job: dict, prerun_script: Optional[tuple] = None) -> str:
             parts.append("")
         parts.extend(
             [
-                f'[IMPORTANT: The user has invoked the "{skill_name}" skill, indicating they want you to follow its instructions. The full skill content is loaded below.]',
+                f'[SYSTEM: The user has invoked the "{skill_name}" skill, indicating they want you to follow its instructions. The full skill content is loaded below.]',
                 "",
                 content,
             ]
@@ -760,7 +687,7 @@ def _build_job_prompt(job: dict, prerun_script: Optional[tuple] = None) -> str:
 
     if skipped:
         notice = (
-            f"[IMPORTANT: The following skill(s) were listed for this job but could not be found "
+            f"[SYSTEM: The following skill(s) were listed for this job but could not be found "
             f"and were skipped: {', '.join(skipped)}. "
             f"Start your response with a brief notice so the user is aware, e.g.: "
             f"'⚠️ Skill(s) not found and skipped: {', '.join(skipped)}']"
@@ -837,30 +764,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
         chat_name=origin.get("chat_name", "") if origin else "",
     )
 
-    # Per-job working directory.  When set (and validated at create/update
-    # time), we point TERMINAL_CWD at it so:
-    #   - build_context_files_prompt() picks up AGENTS.md / CLAUDE.md /
-    #     .cursorrules from the job's project dir, AND
-    #   - the terminal, file, and code-exec tools run commands from there.
-    #
-    # tick() serializes workdir-jobs outside the parallel pool, so mutating
-    # os.environ["TERMINAL_CWD"] here is safe for those jobs.  For workdir-less
-    # jobs we leave TERMINAL_CWD untouched — preserves the original behaviour
-    # (skip_context_files=True, tools use whatever cwd the scheduler has).
-    _job_workdir = (job.get("workdir") or "").strip() or None
-    if _job_workdir and not Path(_job_workdir).is_dir():
-        # Directory was removed between create-time validation and now.  Log
-        # and drop back to old behaviour rather than crashing the job.
-        logger.warning(
-            "Job '%s': configured workdir %r no longer exists — running without it",
-            job_id, _job_workdir,
-        )
-        _job_workdir = None
-    _prior_terminal_cwd = os.environ.get("TERMINAL_CWD", "_UNSET_")
-    if _job_workdir:
-        os.environ["TERMINAL_CWD"] = _job_workdir
-        logger.info("Job '%s': using workdir %s", job_id, _job_workdir)
-
     try:
         # Re-read .env and config.yaml fresh every run so provider/key
         # changes take effect without a gateway restart.
@@ -937,7 +840,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
             resolve_runtime_provider,
             format_runtime_provider_error,
         )
-        from hermes_cli.auth import AuthError
         try:
             runtime_kwargs = {
                 "requested": job.get("provider") or os.getenv("HERMES_INFERENCE_PROVIDER"),
@@ -945,28 +847,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
             if job.get("base_url"):
                 runtime_kwargs["explicit_base_url"] = job.get("base_url")
             runtime = resolve_runtime_provider(**runtime_kwargs)
-        except AuthError as auth_exc:
-            # Primary provider auth failed — try fallback chain before giving up.
-            logger.warning("Job '%s': primary auth failed (%s), trying fallback", job_id, auth_exc)
-            fb = _cfg.get("fallback_providers") or _cfg.get("fallback_model")
-            fb_list = (fb if isinstance(fb, list) else [fb]) if fb else []
-            runtime = None
-            for entry in fb_list:
-                if not isinstance(entry, dict):
-                    continue
-                try:
-                    fb_kwargs = {"requested": entry.get("provider")}
-                    if entry.get("base_url"):
-                        fb_kwargs["explicit_base_url"] = entry["base_url"]
-                    if entry.get("api_key"):
-                        fb_kwargs["explicit_api_key"] = entry["api_key"]
-                    runtime = resolve_runtime_provider(**fb_kwargs)
-                    logger.info("Job '%s': fallback resolved to %s", job_id, runtime.get("provider"))
-                    break
-                except Exception as fb_exc:
-                    logger.debug("Job '%s': fallback %s failed: %s", job_id, entry.get("provider"), fb_exc)
-            if runtime is None:
-                raise RuntimeError(format_runtime_provider_error(auth_exc)) from auth_exc
         except Exception as exc:
             message = format_runtime_provider_error(exc)
             raise RuntimeError(message) from exc
@@ -1006,13 +886,9 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
             providers_ignored=pr.get("ignore"),
             providers_order=pr.get("order"),
             provider_sort=pr.get("sort"),
-            enabled_toolsets=_resolve_cron_enabled_toolsets(job, _cfg),
             disabled_toolsets=["cronjob", "messaging", "clarify"],
             quiet_mode=True,
-            # When a workdir is configured, inject AGENTS.md / CLAUDE.md /
-            # .cursorrules from that directory; otherwise preserve the old
-            # behaviour (don't inject SOUL.md/AGENTS.md from the scheduler cwd).
-            skip_context_files=not bool(_job_workdir),
+            skip_context_files=True,  # Don't inject SOUL.md/AGENTS.md from scheduler cwd
             skip_memory=True,  # Cron system prompts would corrupt user representations
             platform="cron",
             session_id=_cron_session_id,
@@ -1096,12 +972,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
                 f"— last activity: {_last_desc}"
             )
 
-        # Guard against non-dict returns from run_conversation under error conditions
-        if not isinstance(result, dict):
-            raise RuntimeError(
-                f"agent.run_conversation returned {type(result).__name__} instead of dict: {result!r}"
-            )
-
         final_response = result.get("final_response", "") or ""
         # Strip leaked placeholder text that upstream may inject on empty completions.
         if final_response.strip() == "(No response generated)":
@@ -1151,14 +1021,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
         return False, output, "", error_msg
 
     finally:
-        # Restore TERMINAL_CWD to whatever it was before this job ran.  We
-        # only ever mutate it when the job has a workdir; see the setup block
-        # at the top of run_job for the serialization guarantee.
-        if _job_workdir:
-            if _prior_terminal_cwd == "_UNSET_":
-                os.environ.pop("TERMINAL_CWD", None)
-            else:
-                os.environ["TERMINAL_CWD"] = _prior_terminal_cwd
         # Clean up ContextVar session/delivery state for this job.
         clear_session_vars(_ctx_tokens)
         if _session_db:
@@ -1286,39 +1148,14 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
                 mark_job_run(job["id"], False, str(e))
                 return False
 
-        # Partition due jobs: those with a per-job workdir mutate
-        # os.environ["TERMINAL_CWD"] inside run_job, which is process-global —
-        # so they MUST run sequentially to avoid corrupting each other.  Jobs
-        # without a workdir leave env untouched and stay parallel-safe.
-        workdir_jobs = [j for j in due_jobs if (j.get("workdir") or "").strip()]
-        parallel_jobs = [j for j in due_jobs if not (j.get("workdir") or "").strip()]
-
-        _results: list = []
-
-        # Sequential pass for workdir jobs.
-        for job in workdir_jobs:
-            _ctx = contextvars.copy_context()
-            _results.append(_ctx.run(_process_job, job))
-
-        # Parallel pass for the rest — same behaviour as before.
-        if parallel_jobs:
-            with concurrent.futures.ThreadPoolExecutor(max_workers=_max_workers) as _tick_pool:
-                _futures = []
-                for job in parallel_jobs:
-                    _ctx = contextvars.copy_context()
-                    _futures.append(_tick_pool.submit(_ctx.run, _process_job, job))
-                _results.extend(f.result() for f in _futures)
-
-        # Best-effort sweep of MCP stdio subprocesses that survived their
-        # session teardown during this tick.  Runs AFTER every job has
-        # finished so active sessions (including live user chats) are
-        # never touched — only PIDs explicitly detected as orphans in
-        # tools.mcp_tool._run_stdio's finally block are reaped.
-        try:
-            from tools.mcp_tool import _kill_orphaned_mcp_children
-            _kill_orphaned_mcp_children()
-        except Exception as _e:
-            logger.debug("Post-tick MCP orphan cleanup failed: %s", _e)
+        # Run all due jobs concurrently, each in its own ContextVar copy
+        # so session/delivery state stays isolated per-thread.
+        with concurrent.futures.ThreadPoolExecutor(max_workers=_max_workers) as _tick_pool:
+            _futures = []
+            for job in due_jobs:
+                _ctx = contextvars.copy_context()
+                _futures.append(_tick_pool.submit(_ctx.run, _process_job, job))
+            _results = [f.result() for f in _futures]
 
         return sum(_results)
     finally:

docker-compose.yml

@@ -1,52 +0,0 @@
-#
-# docker-compose.yml for Hermes Agent
-#
-# Usage:
-#   HERMES_UID=$(id -u) HERMES_GID=$(id -g) docker compose up -d
-#
-# Set HERMES_UID / HERMES_GID to the host user that owns ~/.hermes so
-# files created inside the container stay readable/writable on the host.
-# The entrypoint remaps the internal `hermes` user to these values via
-# usermod/groupmod + gosu.
-#
-# Security notes:
-#   - The dashboard service binds to 127.0.0.1 by default. It stores API
-#     keys; exposing it on LAN without auth is unsafe. If you want remote
-#     access, use an SSH tunnel or put it behind a reverse proxy that
-#     adds authentication — do NOT pass --insecure --host 0.0.0.0.
-#   - The gateway's API server is off unless you uncomment API_SERVER_KEY
-#     and API_SERVER_HOST. See docs/user-guide/api-server.md before doing
-#     this on an internet-facing host.
-#
-services:
-  gateway:
-    build: .
-    image: hermes-agent
-    container_name: hermes
-    restart: unless-stopped
-    network_mode: host
-    volumes:
-      - ~/.hermes:/opt/data
-    environment:
-      - HERMES_UID=${HERMES_UID:-10000}
-      - HERMES_GID=${HERMES_GID:-10000}
-      # To expose the OpenAI-compatible API server beyond localhost,
-      # uncomment BOTH lines (API_SERVER_KEY is mandatory for auth):
-      # - API_SERVER_HOST=0.0.0.0
-      # - API_SERVER_KEY=${API_SERVER_KEY}
-    command: ["gateway", "run"]
-
-  dashboard:
-    image: hermes-agent
-    container_name: hermes-dashboard
-    restart: unless-stopped
-    network_mode: host
-    depends_on:
-      - gateway
-    volumes:
-      - ~/.hermes:/opt/data
-    environment:
-      - HERMES_UID=${HERMES_UID:-10000}
-      - HERMES_GID=${HERMES_GID:-10000}
-    # Localhost-only. For remote access, tunnel via `ssh -L 9119:localhost:9119`.
-    command: ["dashboard", "--host", "127.0.0.1", "--no-open"]

docker/entrypoint.sh

@@ -22,18 +22,9 @@ if [ "$(id -u)" = "0" ]; then
         groupmod -o -g "$HERMES_GID" hermes 2>/dev/null || true
     fi
 
-    # Fix ownership of the data volume. When HERMES_UID remaps the hermes user,
-    # files created by previous runs (under the old UID) become inaccessible.
-    # Always chown -R when UID was remapped; otherwise only if top-level is wrong.
     actual_hermes_uid=$(id -u hermes)
-    needs_chown=false
-    if [ -n "$HERMES_UID" ] && [ "$HERMES_UID" != "10000" ]; then
-        needs_chown=true
-    elif [ "$(stat -c %u "$HERMES_HOME" 2>/dev/null)" != "$actual_hermes_uid" ]; then
-        needs_chown=true
-    fi
-    if [ "$needs_chown" = true ]; then
-        echo "Fixing ownership of $HERMES_HOME to hermes ($actual_hermes_uid)"
+    if [ "$(stat -c %u "$HERMES_HOME" 2>/dev/null)" != "$actual_hermes_uid" ]; then
+        echo "$HERMES_HOME is not owned by $actual_hermes_uid, fixing"
         # In rootless Podman the container's "root" is mapped to an unprivileged
         # host UID — chown will fail.  That's fine: the volume is already owned
         # by the mapped user on the host side.
@@ -41,15 +32,6 @@ if [ "$(id -u)" = "0" ]; then
             echo "Warning: chown failed (rootless container?) — continuing anyway"
     fi
 
-    # Ensure config.yaml is readable by the hermes runtime user even if it was
-    # edited on the host after initial ownership setup. Must run here (as root)
-    # rather than after the gosu drop, otherwise a non-root caller like
-    # `docker run -u $(id -u):$(id -g)` hits "Operation not permitted" (#15865).
-    if [ -f "$HERMES_HOME/config.yaml" ]; then
-        chown hermes:hermes "$HERMES_HOME/config.yaml" 2>/dev/null || true
-        chmod 640 "$HERMES_HOME/config.yaml" 2>/dev/null || true
-    fi
-
     echo "Dropping root privileges"
     exec gosu hermes "$0" "$@"
 fi
@@ -86,19 +68,4 @@ if [ -d "$INSTALL_DIR/skills" ]; then
     python3 "$INSTALL_DIR/tools/skills_sync.py"
 fi
 
-# Final exec: two supported invocation patterns.
-#
-#   docker run <image>                 -> exec `hermes` with no args (legacy default)
-#   docker run <image> chat -q "..."   -> exec `hermes chat -q "..."` (legacy wrap)
-#   docker run <image> sleep infinity  -> exec `sleep infinity` directly
-#   docker run <image> bash            -> exec `bash` directly
-#
-# If the first positional arg resolves to an executable on PATH, we assume the
-# caller wants to run it directly (needed by the launcher which runs long-lived
-# `sleep infinity` sandbox containers — see tools/environments/docker.py).
-# Otherwise we treat the args as a hermes subcommand and wrap with `hermes`,
-# preserving the documented `docker run <image> <subcommand>` behavior.
-if [ $# -gt 0 ] && command -v "$1" >/dev/null 2>&1; then
-    exec "$@"
-fi
 exec hermes "$@"

gateway/channel_directory.py

@@ -57,7 +57,7 @@ def _session_entry_name(origin: Dict[str, Any]) -> str:
 # Build / refresh
 # ---------------------------------------------------------------------------
 
-async def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
+def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
     """
     Build a channel directory from connected platform adapters and session data.
 
@@ -72,7 +72,7 @@ async def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
             if platform == Platform.DISCORD:
                 platforms["discord"] = _build_discord(adapter)
             elif platform == Platform.SLACK:
-                platforms["slack"] = await _build_slack(adapter)
+                platforms["slack"] = _build_slack(adapter)
         except Exception as e:
             logger.warning("Channel directory: failed to build %s: %s", platform.value, e)
 
@@ -136,66 +136,21 @@ def _build_discord(adapter) -> List[Dict[str, str]]:
     return channels
 
 
-async def _build_slack(adapter) -> List[Dict[str, Any]]:
-    """List Slack channels the bot has joined across all workspaces.
-
-    Uses ``users.conversations`` against each workspace's web client. Pulls
-    public + private channels the bot is a member of, then merges in DMs
-    discovered from session history (IMs aren't useful to enumerate
-    proactively).
-    """
-    team_clients = getattr(adapter, "_team_clients", None) or {}
-    if not team_clients:
+def _build_slack(adapter) -> List[Dict[str, str]]:
+    """List Slack channels the bot has joined."""
+    # Slack adapter may expose a web client
+    client = getattr(adapter, "_app", None) or getattr(adapter, "_client", None)
+    if not client:
         return _build_from_sessions("slack")
 
-    channels: List[Dict[str, Any]] = []
-    seen_ids: set = set()
+    try:
+        from tools.send_message_tool import _send_slack  # noqa: F401
+        # Use the Slack Web API directly if available
+    except Exception:
+        pass
 
-    for team_id, client in team_clients.items():
-        try:
-            cursor: Optional[str] = None
-            for _page in range(20):  # safety cap on pagination
-                response = await client.users_conversations(
-                    types="public_channel,private_channel",
-                    exclude_archived=True,
-                    limit=200,
-                    cursor=cursor,
-                )
-                if not response.get("ok"):
-                    logger.warning(
-                        "Channel directory: users.conversations not ok for team %s: %s",
-                        team_id,
-                        response.get("error", "unknown"),
-                    )
-                    break
-                for ch in response.get("channels", []):
-                    cid = ch.get("id")
-                    name = ch.get("name")
-                    if not cid or not name or cid in seen_ids:
-                        continue
-                    seen_ids.add(cid)
-                    channels.append({
-                        "id": cid,
-                        "name": name,
-                        "type": "private" if ch.get("is_private") else "channel",
-                    })
-                cursor = (response.get("response_metadata") or {}).get("next_cursor")
-                if not cursor:
-                    break
-        except Exception as e:
-            logger.warning(
-                "Channel directory: failed to list Slack channels for team %s: %s",
-                team_id, e,
-            )
-            continue
-
-    # Merge in DM/group entries discovered from session history.
-    for entry in _build_from_sessions("slack"):
-        if entry.get("id") not in seen_ids:
-            channels.append(entry)
-            seen_ids.add(entry.get("id"))
-
-    return channels
+    # Fallback to session data
+    return _build_from_sessions("slack")
 
 
 def _build_from_sessions(platform_name: str) -> List[Dict[str, str]]:
@@ -268,14 +223,6 @@ def resolve_channel_name(platform_name: str, name: str) -> Optional[str]:
     if not channels:
         return None
 
-    # 0. Exact ID match — case-sensitive, no normalization. Lets callers pass
-    # raw platform IDs (e.g. Slack "C0B0QV5434G") even when the format guard
-    # in _parse_target_ref hasn't recognized them as explicit.
-    raw = name.strip()
-    for ch in channels:
-        if ch.get("id") == raw:
-            return ch["id"]
-
     query = _normalize_channel_query(name)
 
     # 1. Exact name match, including the display labels shown by send_message(action="list")

gateway/config.py

@@ -67,7 +67,6 @@ class Platform(Enum):
     WEIXIN = "weixin"
     BLUEBUBBLES = "bluebubbles"
     QQBOT = "qqbot"
-    YUANBAO = "yuanbao"
 
 
 @dataclass
@@ -136,7 +135,7 @@ class SessionResetPolicy:
             mode=mode if mode is not None else "both",
             at_hour=at_hour if at_hour is not None else 4,
             idle_minutes=idle_minutes if idle_minutes is not None else 1440,
-            notify=_coerce_bool(notify, True),
+            notify=notify if notify is not None else True,
             notify_exclude_platforms=tuple(exclude) if exclude is not None else ("api_server", "webhook"),
         )
 
@@ -179,7 +178,7 @@ class PlatformConfig:
             home_channel = HomeChannel.from_dict(data["home_channel"])
         
         return cls(
-            enabled=_coerce_bool(data.get("enabled"), False),
+            enabled=data.get("enabled", False),
             token=data.get("token"),
             api_key=data.get("api_key"),
             home_channel=home_channel,
@@ -196,14 +195,6 @@ class StreamingConfig:
     edit_interval: float = 1.0    # Seconds between message edits (Telegram rate-limits at ~1/s)
     buffer_threshold: int = 40    # Chars before forcing an edit
     cursor: str = " ▉"           # Cursor shown during streaming
-    # Ported from openclaw/openclaw#72038.  When >0, the final edit for
-    # a long-running streamed response is delivered as a fresh message
-    # if the original preview has been visible for at least this many
-    # seconds, so the platform's visible timestamp reflects completion
-    # time instead of the preview creation time.  Currently applied to
-    # Telegram only (other platforms ignore the setting).  Default 60s
-    # matches the OpenClaw rollout.  Set to 0 to disable.
-    fresh_final_after_seconds: float = 60.0
 
     def to_dict(self) -> Dict[str, Any]:
         return {
@@ -212,7 +203,6 @@ class StreamingConfig:
             "edit_interval": self.edit_interval,
             "buffer_threshold": self.buffer_threshold,
             "cursor": self.cursor,
-            "fresh_final_after_seconds": self.fresh_final_after_seconds,
         }
 
     @classmethod
@@ -225,9 +215,6 @@ class StreamingConfig:
             edit_interval=float(data.get("edit_interval", 1.0)),
             buffer_threshold=int(data.get("buffer_threshold", 40)),
             cursor=data.get("cursor", " ▉"),
-            fresh_final_after_seconds=float(
-                data.get("fresh_final_after_seconds", 60.0)
-            ),
         )
 
 
@@ -327,9 +314,6 @@ class GatewayConfig:
             # QQBot uses extra dict for app credentials
             elif platform == Platform.QQBOT and config.extra.get("app_id") and config.extra.get("client_secret"):
                 connected.append(platform)
-            # Yuanbao uses extra dict for app credentials
-            elif platform == Platform.YUANBAO and config.extra.get("app_id") and config.extra.get("app_secret"):
-                connected.append(platform)
             # DingTalk uses client_id/client_secret from config.extra or env vars
             elif platform == Platform.DINGTALK and (
                 config.extra.get("client_id") or os.getenv("DINGTALK_CLIENT_ID")
@@ -451,7 +435,7 @@ class GatewayConfig:
             reset_triggers=data.get("reset_triggers", ["/new", "/reset"]),
             quick_commands=quick_commands,
             sessions_dir=sessions_dir,
-            always_log_local=_coerce_bool(data.get("always_log_local"), True),
+            always_log_local=data.get("always_log_local", True),
             stt_enabled=_coerce_bool(stt_enabled, True),
             group_sessions_per_user=_coerce_bool(group_sessions_per_user, True),
             thread_sessions_per_user=_coerce_bool(thread_sessions_per_user, False),
@@ -586,8 +570,6 @@ def load_gateway_config() -> GatewayConfig:
                     )
                 if "reply_prefix" in platform_cfg:
                     bridged["reply_prefix"] = platform_cfg["reply_prefix"]
-                if "reply_in_thread" in platform_cfg:
-                    bridged["reply_in_thread"] = platform_cfg["reply_in_thread"]
                 if "require_mention" in platform_cfg:
                     bridged["require_mention"] = platform_cfg["require_mention"]
                 if "free_response_channels" in platform_cfg:
@@ -602,7 +584,7 @@ def load_gateway_config() -> GatewayConfig:
                     bridged["group_policy"] = platform_cfg["group_policy"]
                 if "group_allow_from" in platform_cfg:
                     bridged["group_allow_from"] = platform_cfg["group_allow_from"]
-                if plat in (Platform.DISCORD, Platform.SLACK) and "channel_skill_bindings" in platform_cfg:
+                if plat == Platform.DISCORD and "channel_skill_bindings" in platform_cfg:
                     bridged["channel_skill_bindings"] = platform_cfg["channel_skill_bindings"]
                 if "channel_prompts" in platform_cfg:
                     channel_prompts = platform_cfg["channel_prompts"]
@@ -627,8 +609,6 @@ def load_gateway_config() -> GatewayConfig:
             if isinstance(slack_cfg, dict):
                 if "require_mention" in slack_cfg and not os.getenv("SLACK_REQUIRE_MENTION"):
                     os.environ["SLACK_REQUIRE_MENTION"] = str(slack_cfg["require_mention"]).lower()
-                if "strict_mention" in slack_cfg and not os.getenv("SLACK_STRICT_MENTION"):
-                    os.environ["SLACK_STRICT_MENTION"] = str(slack_cfg["strict_mention"]).lower()
                 if "allow_bots" in slack_cfg and not os.getenv("SLACK_ALLOW_BOTS"):
                     os.environ["SLACK_ALLOW_BOTS"] = str(slack_cfg["allow_bots"]).lower()
                 frc = slack_cfg.get("free_response_channels")
@@ -636,8 +616,6 @@ def load_gateway_config() -> GatewayConfig:
                     if isinstance(frc, list):
                         frc = ",".join(str(v) for v in frc)
                     os.environ["SLACK_FREE_RESPONSE_CHANNELS"] = str(frc)
-                if "reactions" in slack_cfg and not os.getenv("SLACK_REACTIONS"):
-                    os.environ["SLACK_REACTIONS"] = str(slack_cfg["reactions"]).lower()
 
             # Discord settings → env vars (env vars take precedence)
             discord_cfg = yaml_cfg.get("discord", {})
@@ -707,11 +685,6 @@ def load_gateway_config() -> GatewayConfig:
                     os.environ["TELEGRAM_REACTIONS"] = str(telegram_cfg["reactions"]).lower()
                 if "proxy_url" in telegram_cfg and not os.getenv("TELEGRAM_PROXY"):
                     os.environ["TELEGRAM_PROXY"] = str(telegram_cfg["proxy_url"]).strip()
-                if "group_allowed_chats" in telegram_cfg and not os.getenv("TELEGRAM_GROUP_ALLOWED_USERS"):
-                    gac = telegram_cfg["group_allowed_chats"]
-                    if isinstance(gac, list):
-                        gac = ",".join(str(v) for v in gac)
-                    os.environ["TELEGRAM_GROUP_ALLOWED_USERS"] = str(gac)
                 if "disable_link_previews" in telegram_cfg:
                     plat_data = platforms_data.setdefault(Platform.TELEGRAM.value, {})
                     if not isinstance(plat_data, dict):
@@ -938,12 +911,8 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
     slack_token = os.getenv("SLACK_BOT_TOKEN")
     if slack_token:
         if Platform.SLACK not in config.platforms:
-            # No yaml config for Slack — env-only setup, enable it
             config.platforms[Platform.SLACK] = PlatformConfig()
-            config.platforms[Platform.SLACK].enabled = True
-        # If yaml config exists, respect its enabled flag (don't override
-        # explicit enabled: false). Token is still stored so skills that
-        # send Slack messages can use it without activating the gateway adapter.
+        config.platforms[Platform.SLACK].enabled = True
         config.platforms[Platform.SLACK].token = slack_token
     slack_home = os.getenv("SLACK_HOME_CHANNEL")
     if slack_home and Platform.SLACK in config.platforms:
@@ -1300,48 +1269,6 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
                 name=os.getenv("QQBOT_HOME_CHANNEL_NAME") or os.getenv(qq_home_name_env, "Home"),
             )
 
-    # Yuanbao — YUANBAO_APP_ID preferred
-    yuanbao_app_id = os.getenv("YUANBAO_APP_ID") or os.getenv("YUANBAO_APP_KEY")
-    yuanbao_app_secret = os.getenv("YUANBAO_APP_SECRET")
-    if yuanbao_app_id and yuanbao_app_secret:
-        if Platform.YUANBAO not in config.platforms:
-            config.platforms[Platform.YUANBAO] = PlatformConfig()
-        config.platforms[Platform.YUANBAO].enabled = True
-        extra = config.platforms[Platform.YUANBAO].extra
-        extra["app_id"] = yuanbao_app_id
-        extra["app_secret"] = yuanbao_app_secret
-        yuanbao_bot_id = os.getenv("YUANBAO_BOT_ID")
-        if yuanbao_bot_id:
-            extra["bot_id"] = yuanbao_bot_id
-        yuanbao_ws_url = os.getenv("YUANBAO_WS_URL")
-        if yuanbao_ws_url:
-            extra["ws_url"] = yuanbao_ws_url
-        yuanbao_api_domain = os.getenv("YUANBAO_API_DOMAIN")
-        if yuanbao_api_domain:
-            extra["api_domain"] = yuanbao_api_domain
-        yuanbao_route_env = os.getenv("YUANBAO_ROUTE_ENV")
-        if yuanbao_route_env:
-            extra["route_env"] = yuanbao_route_env
-        yuanbao_home = os.getenv("YUANBAO_HOME_CHANNEL")
-        if yuanbao_home:
-            config.platforms[Platform.YUANBAO].home_channel = HomeChannel(
-                platform=Platform.YUANBAO,
-                chat_id=yuanbao_home,
-                name=os.getenv("YUANBAO_HOME_CHANNEL_NAME", "Home"),
-            )
-        yuanbao_dm_policy = os.getenv("YUANBAO_DM_POLICY")
-        if yuanbao_dm_policy:
-            extra["dm_policy"] = yuanbao_dm_policy.strip().lower()
-        yuanbao_dm_allow_from = os.getenv("YUANBAO_DM_ALLOW_FROM")
-        if yuanbao_dm_allow_from:
-            extra["dm_allow_from"] = yuanbao_dm_allow_from
-        yuanbao_group_policy = os.getenv("YUANBAO_GROUP_POLICY")
-        if yuanbao_group_policy:
-            extra["group_policy"] = yuanbao_group_policy.strip().lower()
-        yuanbao_group_allow_from = os.getenv("YUANBAO_GROUP_ALLOW_FROM")
-        if yuanbao_group_allow_from:
-            extra["group_allow_from"] = yuanbao_group_allow_from
-
     # Session settings
     idle_minutes = os.getenv("SESSION_IDLE_MINUTES")
     if idle_minutes:

gateway/display_config.py

@@ -79,9 +79,7 @@ _PLATFORM_DEFAULTS: dict[str, dict[str, Any]] = {
     "discord":     _TIER_HIGH,
 
     # Tier 2 — edit support, often customer/workspace channels
-    # Slack: tool_progress off by default — Bolt posts cannot be edited like CLI;
-    # "new"/"all" spam permanent lines in channels (hermes-agent#14663).
-    "slack":           {**_TIER_MEDIUM, "tool_progress": "off"},
+    "slack":           _TIER_MEDIUM,
     "mattermost":      _TIER_MEDIUM,
     "matrix":          _TIER_MEDIUM,
     "feishu":          _TIER_MEDIUM,

gateway/hooks.py

@@ -135,22 +135,9 @@ class HookRegistry:
             except Exception as e:
                 print(f"[hooks] Error loading hook {hook_dir.name}: {e}", flush=True)
 
-    def _resolve_handlers(self, event_type: str) -> List[Callable]:
-        """Return all handlers that should fire for ``event_type``.
-
-        Exact matches fire first, followed by wildcard matches (e.g.
-        ``command:*`` matches ``command:reset``).
-        """
-        handlers = list(self._handlers.get(event_type, []))
-        if ":" in event_type:
-            base = event_type.split(":")[0]
-            wildcard_key = f"{base}:*"
-            handlers.extend(self._handlers.get(wildcard_key, []))
-        return handlers
-
     async def emit(self, event_type: str, context: Optional[Dict[str, Any]] = None) -> None:
         """
-        Fire all handlers registered for an event, discarding return values.
+        Fire all handlers registered for an event.
 
         Supports wildcard matching: handlers registered for "command:*" will
         fire for any "command:..." event. Handlers registered for a base type
@@ -164,7 +151,16 @@ class HookRegistry:
         if context is None:
             context = {}
 
-        for fn in self._resolve_handlers(event_type):
+        # Collect handlers: exact match + wildcard match
+        handlers = list(self._handlers.get(event_type, []))
+
+        # Check for wildcard patterns (e.g., "command:*" matches "command:reset")
+        if ":" in event_type:
+            base = event_type.split(":")[0]
+            wildcard_key = f"{base}:*"
+            handlers.extend(self._handlers.get(wildcard_key, []))
+
+        for fn in handlers:
             try:
                 result = fn(event_type, context)
                 # Support both sync and async handlers
@@ -172,32 +168,3 @@ class HookRegistry:
                     await result
             except Exception as e:
                 print(f"[hooks] Error in handler for '{event_type}': {e}", flush=True)
-
-    async def emit_collect(
-        self,
-        event_type: str,
-        context: Optional[Dict[str, Any]] = None,
-    ) -> List[Any]:
-        """Fire handlers and return their non-None return values in order.
-
-        Like :meth:`emit` but captures each handler's return value. Used for
-        decision-style hooks (e.g. ``command:<name>`` policies that want to
-        allow/deny/rewrite the command before normal dispatch).
-
-        Exceptions from individual handlers are logged but do not abort the
-        remaining handlers.
-        """
-        if context is None:
-            context = {}
-
-        results: List[Any] = []
-        for fn in self._resolve_handlers(event_type):
-            try:
-                result = fn(event_type, context)
-                if asyncio.iscoroutine(result):
-                    result = await result
-                if result is not None:
-                    results.append(result)
-            except Exception as e:
-                print(f"[hooks] Error in handler for '{event_type}': {e}", flush=True)
-        return results

gateway/mirror.py

@@ -28,7 +28,6 @@ def mirror_to_session(
     message_text: str,
     source_label: str = "cli",
     thread_id: Optional[str] = None,
-    user_id: Optional[str] = None,
 ) -> bool:
     """
     Append a delivery-mirror message to the target session's transcript.
@@ -40,20 +39,9 @@ def mirror_to_session(
     All errors are caught -- this is never fatal.
     """
     try:
-        session_id = _find_session_id(
-            platform,
-            str(chat_id),
-            thread_id=thread_id,
-            user_id=user_id,
-        )
+        session_id = _find_session_id(platform, str(chat_id), thread_id=thread_id)
         if not session_id:
-            logger.debug(
-                "Mirror: no session found for %s:%s:%s:%s",
-                platform,
-                chat_id,
-                thread_id,
-                user_id,
-            )
+            logger.debug("Mirror: no session found for %s:%s:%s", platform, chat_id, thread_id)
             return False
 
         mirror_msg = {
@@ -71,33 +59,17 @@ def mirror_to_session(
         return True
 
     except Exception as e:
-        logger.debug(
-            "Mirror failed for %s:%s:%s:%s: %s",
-            platform,
-            chat_id,
-            thread_id,
-            user_id,
-            e,
-        )
+        logger.debug("Mirror failed for %s:%s:%s: %s", platform, chat_id, thread_id, e)
         return False
 
 
-def _find_session_id(
-    platform: str,
-    chat_id: str,
-    thread_id: Optional[str] = None,
-    user_id: Optional[str] = None,
-) -> Optional[str]:
+def _find_session_id(platform: str, chat_id: str, thread_id: Optional[str] = None) -> Optional[str]:
     """
     Find the active session_id for a platform + chat_id pair.
 
     Scans sessions.json entries and matches where origin.chat_id == chat_id
     on the right platform.  DM session keys don't embed the chat_id
     (e.g. "agent:main:telegram:dm"), so we check the origin dict.
-
-    When *user_id* is provided, prefer exact sender matches. If multiple
-    same-chat candidates exist and none matches the user, return None instead
-    of guessing and contaminating another participant's session.
     """
     if not _SESSIONS_INDEX.exists():
         return None
@@ -109,7 +81,8 @@ def _find_session_id(
         return None
 
     platform_lower = platform.lower()
-    candidates = []
+    best_match = None
+    best_updated = ""
 
     for _key, entry in data.items():
         origin = entry.get("origin") or {}
@@ -123,31 +96,12 @@ def _find_session_id(
             origin_thread_id = origin.get("thread_id")
             if thread_id is not None and str(origin_thread_id or "") != str(thread_id):
                 continue
-            candidates.append(entry)
+            updated = entry.get("updated_at", "")
+            if updated > best_updated:
+                best_updated = updated
+                best_match = entry.get("session_id")
 
-    if not candidates:
-        return None
-
-    if user_id:
-        exact_user_matches = [
-            entry for entry in candidates
-            if str((entry.get("origin") or {}).get("user_id") or "") == str(user_id)
-        ]
-        if exact_user_matches:
-            candidates = exact_user_matches
-        elif len(candidates) > 1:
-            return None
-    elif len(candidates) > 1:
-        distinct_user_ids = {
-            str((entry.get("origin") or {}).get("user_id") or "").strip()
-            for entry in candidates
-            if str((entry.get("origin") or {}).get("user_id") or "").strip()
-        }
-        if len(distinct_user_ids) > 1:
-            return None
-
-    best_entry = max(candidates, key=lambda entry: entry.get("updated_at", ""))
-    return best_entry.get("session_id")
+    return best_match
 
 
 def _append_to_jsonl(session_id: str, message: dict) -> None:

gateway/platforms/__init__.py

@@ -10,12 +10,10 @@ Each adapter handles:
 
 from .base import BasePlatformAdapter, MessageEvent, SendResult
 from .qqbot import QQAdapter
-from .yuanbao import YuanbaoAdapter
 
 __all__ = [
     "BasePlatformAdapter",
     "MessageEvent",
     "SendResult",
     "QQAdapter",
-    "YuanbaoAdapter",
 ]

gateway/platforms/api_server.py

@@ -9,7 +9,6 @@ Exposes an HTTP server with endpoints:
 - GET  /v1/models                  — lists hermes-agent as an available model
 - POST /v1/runs                    — start a run, returns run_id immediately (202)
 - GET  /v1/runs/{run_id}/events    — SSE stream of structured lifecycle events
-- POST /v1/runs/{run_id}/stop    — interrupt a running agent
 - GET  /health                     — health check
 - GET  /health/detailed            — rich status for cross-container dashboard probing
 
@@ -587,9 +586,6 @@ class APIServerAdapter(BasePlatformAdapter):
         self._run_streams: Dict[str, "asyncio.Queue[Optional[Dict]]"] = {}
         # Creation timestamps for orphaned-run TTL sweep
         self._run_streams_created: Dict[str, float] = {}
-        # Active run agent/task references for stop support
-        self._active_run_agents: Dict[str, Any] = {}
-        self._active_run_tasks: Dict[str, "asyncio.Task"] = {}
         self._session_db: Optional[Any] = None  # Lazy-init SessionDB for session continuity
 
     @staticmethod
@@ -1208,12 +1204,10 @@ class APIServerAdapter(BasePlatformAdapter):
 
         If the client disconnects mid-stream, ``agent.interrupt()`` is
         called so the agent stops issuing upstream LLM calls, then the
-        asyncio task is cancelled.  When ``store=True`` an initial
-        ``in_progress`` snapshot is persisted immediately after
-        ``response.created`` and disconnects update it to an
-        ``incomplete`` snapshot so GET /v1/responses/{id} and
-        ``previous_response_id`` chaining still have something to
-        recover from.
+        asyncio task is cancelled.  When ``store=True`` the full response
+        is persisted to the ResponseStore in a ``finally`` block so GET
+        /v1/responses/{id} and ``previous_response_id`` chaining work the
+        same as the batch path.
         """
         import queue as _q
 
@@ -1275,60 +1269,6 @@ class APIServerAdapter(BasePlatformAdapter):
         final_response_text = ""
         agent_error: Optional[str] = None
         usage: Dict[str, int] = {"input_tokens": 0, "output_tokens": 0, "total_tokens": 0}
-        terminal_snapshot_persisted = False
-
-        def _persist_response_snapshot(
-            response_env: Dict[str, Any],
-            *,
-            conversation_history_snapshot: Optional[List[Dict[str, Any]]] = None,
-        ) -> None:
-            if not store:
-                return
-            if conversation_history_snapshot is None:
-                conversation_history_snapshot = list(conversation_history)
-                conversation_history_snapshot.append({"role": "user", "content": user_message})
-            self._response_store.put(response_id, {
-                "response": response_env,
-                "conversation_history": conversation_history_snapshot,
-                "instructions": instructions,
-                "session_id": session_id,
-            })
-            if conversation:
-                self._response_store.set_conversation(conversation, response_id)
-
-        def _persist_incomplete_if_needed() -> None:
-            """Persist an ``incomplete`` snapshot if no terminal one was written.
-
-            Called from both the client-disconnect (``ConnectionResetError``)
-            and server-cancellation (``asyncio.CancelledError``) paths so
-            GET /v1/responses/{id} and ``previous_response_id`` chaining keep
-            working after abrupt stream termination.
-            """
-            if not store or terminal_snapshot_persisted:
-                return
-            incomplete_text = "".join(final_text_parts) or final_response_text
-            incomplete_items: List[Dict[str, Any]] = list(emitted_items)
-            if incomplete_text:
-                incomplete_items.append({
-                    "type": "message",
-                    "role": "assistant",
-                    "content": [{"type": "output_text", "text": incomplete_text}],
-                })
-            incomplete_env = _envelope("incomplete")
-            incomplete_env["output"] = incomplete_items
-            incomplete_env["usage"] = {
-                "input_tokens": usage.get("input_tokens", 0),
-                "output_tokens": usage.get("output_tokens", 0),
-                "total_tokens": usage.get("total_tokens", 0),
-            }
-            incomplete_history = list(conversation_history)
-            incomplete_history.append({"role": "user", "content": user_message})
-            if incomplete_text:
-                incomplete_history.append({"role": "assistant", "content": incomplete_text})
-            _persist_response_snapshot(
-                incomplete_env,
-                conversation_history_snapshot=incomplete_history,
-            )
 
         try:
             # response.created — initial envelope, status=in_progress
@@ -1338,7 +1278,6 @@ class APIServerAdapter(BasePlatformAdapter):
                 "type": "response.created",
                 "response": created_env,
             })
-            _persist_response_snapshot(created_env)
             last_activity = time.monotonic()
 
             async def _open_message_item() -> None:
@@ -1595,18 +1534,6 @@ class APIServerAdapter(BasePlatformAdapter):
                     "output_tokens": usage.get("output_tokens", 0),
                     "total_tokens": usage.get("total_tokens", 0),
                 }
-                _failed_history = list(conversation_history)
-                _failed_history.append({"role": "user", "content": user_message})
-                if final_response_text or agent_error:
-                    _failed_history.append({
-                        "role": "assistant",
-                        "content": final_response_text or agent_error,
-                    })
-                _persist_response_snapshot(
-                    failed_env,
-                    conversation_history_snapshot=_failed_history,
-                )
-                terminal_snapshot_persisted = True
                 await _write_event("response.failed", {
                     "type": "response.failed",
                     "response": failed_env,
@@ -1619,24 +1546,30 @@ class APIServerAdapter(BasePlatformAdapter):
                     "output_tokens": usage.get("output_tokens", 0),
                     "total_tokens": usage.get("total_tokens", 0),
                 }
-                full_history = list(conversation_history)
-                full_history.append({"role": "user", "content": user_message})
-                if isinstance(result, dict) and result.get("messages"):
-                    full_history.extend(result["messages"])
-                else:
-                    full_history.append({"role": "assistant", "content": final_response_text})
-                _persist_response_snapshot(
-                    completed_env,
-                    conversation_history_snapshot=full_history,
-                )
-                terminal_snapshot_persisted = True
                 await _write_event("response.completed", {
                     "type": "response.completed",
                     "response": completed_env,
                 })
 
+                # Persist for future chaining / GET retrieval, mirroring
+                # the batch path behavior.
+                if store:
+                    full_history = list(conversation_history)
+                    full_history.append({"role": "user", "content": user_message})
+                    if isinstance(result, dict) and result.get("messages"):
+                        full_history.extend(result["messages"])
+                    else:
+                        full_history.append({"role": "assistant", "content": final_response_text})
+                    self._response_store.put(response_id, {
+                        "response": completed_env,
+                        "conversation_history": full_history,
+                        "instructions": instructions,
+                        "session_id": session_id,
+                    })
+                    if conversation:
+                        self._response_store.set_conversation(conversation, response_id)
+
         except (ConnectionResetError, ConnectionAbortedError, BrokenPipeError, OSError):
-            _persist_incomplete_if_needed()
             # Client disconnected — interrupt the agent so it stops
             # making upstream LLM calls, then cancel the task.
             agent = agent_ref[0] if agent_ref else None
@@ -1652,22 +1585,6 @@ class APIServerAdapter(BasePlatformAdapter):
                 except (asyncio.CancelledError, Exception):
                     pass
             logger.info("SSE client disconnected; interrupted agent task %s", response_id)
-        except asyncio.CancelledError:
-            # Server-side cancellation (e.g. shutdown, request timeout) —
-            # persist an incomplete snapshot so GET /v1/responses/{id} and
-            # previous_response_id chaining still work, then re-raise so the
-            # runtime's cancellation semantics are respected.
-            _persist_incomplete_if_needed()
-            agent = agent_ref[0] if agent_ref else None
-            if agent is not None:
-                try:
-                    agent.interrupt("SSE task cancelled")
-                except Exception:
-                    pass
-            if not agent_task.done():
-                agent_task.cancel()
-            logger.info("SSE task cancelled; persisted incomplete snapshot for %s", response_id)
-            raise
 
         return response
 
@@ -2445,7 +2362,6 @@ class APIServerAdapter(BasePlatformAdapter):
                     stream_delta_callback=_text_cb,
                     tool_progress_callback=event_cb,
                 )
-                self._active_run_agents[run_id] = agent
                 def _run_sync():
                     r = agent.run_conversation(
                         user_message=user_message,
@@ -2485,11 +2401,8 @@ class APIServerAdapter(BasePlatformAdapter):
                     q.put_nowait(None)
                 except Exception:
                     pass
-                self._active_run_agents.pop(run_id, None)
-                self._active_run_tasks.pop(run_id, None)
 
         task = asyncio.create_task(_run_and_close())
-        self._active_run_tasks[run_id] = task
         try:
             self._background_tasks.add(task)
         except TypeError:
@@ -2548,44 +2461,6 @@ class APIServerAdapter(BasePlatformAdapter):
 
         return response
 
-    async def _handle_stop_run(self, request: "web.Request") -> "web.Response":
-        """POST /v1/runs/{run_id}/stop — interrupt a running agent."""
-        auth_err = self._check_auth(request)
-        if auth_err:
-            return auth_err
-
-        run_id = request.match_info["run_id"]
-        agent = self._active_run_agents.get(run_id)
-        task = self._active_run_tasks.get(run_id)
-
-        if agent is None and task is None:
-            return web.json_response(_openai_error(f"Run not found: {run_id}", code="run_not_found"), status=404)
-
-        if agent is not None:
-            try:
-                agent.interrupt("Stop requested via API")
-            except Exception:
-                pass
-
-        if task is not None and not task.done():
-            task.cancel()
-            # Bounded wait: run_conversation() executes in the default
-            # executor thread which task.cancel() cannot preempt — we rely on
-            # agent.interrupt() above to break the loop. Cap the wait so a
-            # slow/unresponsive interrupt can't hang this handler.
-            try:
-                await asyncio.wait_for(asyncio.shield(task), timeout=5.0)
-            except asyncio.TimeoutError:
-                logger.warning(
-                    "[api_server] stop for run %s timed out after 5s; "
-                    "agent may still be finishing the current step",
-                    run_id,
-                )
-            except (asyncio.CancelledError, Exception):
-                pass
-
-        return web.json_response({"run_id": run_id, "status": "stopping"})
-
     async def _sweep_orphaned_runs(self) -> None:
         """Periodically clean up run streams that were never consumed."""
         while True:
@@ -2600,8 +2475,6 @@ class APIServerAdapter(BasePlatformAdapter):
                 logger.debug("[api_server] sweeping orphaned run %s", run_id)
                 self._run_streams.pop(run_id, None)
                 self._run_streams_created.pop(run_id, None)
-                self._active_run_agents.pop(run_id, None)
-                self._active_run_tasks.pop(run_id, None)
 
     # ------------------------------------------------------------------
     # BasePlatformAdapter interface
@@ -2637,7 +2510,6 @@ class APIServerAdapter(BasePlatformAdapter):
             # Structured event streaming
             self._app.router.add_post("/v1/runs", self._handle_runs)
             self._app.router.add_get("/v1/runs/{run_id}/events", self._handle_run_events)
-            self._app.router.add_post("/v1/runs/{run_id}/stop", self._handle_stop_run)
             # Start background sweep to clean up orphaned (unconsumed) run streams
             sweep_task = asyncio.create_task(self._sweep_orphaned_runs())
             try:

gateway/platforms/base.py

@@ -148,102 +148,7 @@ def _detect_macos_system_proxy() -> str | None:
     return None
 
 
-def _split_host_port(value: str) -> tuple[str, int | None]:
-    raw = str(value or "").strip()
-    if not raw:
-        return "", None
-    if "://" in raw:
-        parsed = urlsplit(raw)
-        return (parsed.hostname or "").lower().rstrip("."), parsed.port
-    if raw.startswith("[") and "]" in raw:
-        host, _, rest = raw[1:].partition("]")
-        port = None
-        if rest.startswith(":") and rest[1:].isdigit():
-            port = int(rest[1:])
-        return host.lower().rstrip("."), port
-    if raw.count(":") == 1:
-        host, _, maybe_port = raw.rpartition(":")
-        if maybe_port.isdigit():
-            return host.lower().rstrip("."), int(maybe_port)
-    return raw.lower().strip("[]").rstrip("."), None
-
-
-def _no_proxy_entries() -> list[str]:
-    entries: list[str] = []
-    for key in ("NO_PROXY", "no_proxy"):
-        raw = os.environ.get(key, "")
-        entries.extend(part.strip() for part in raw.split(",") if part.strip())
-    return entries
-
-
-def _no_proxy_entry_matches(entry: str, host: str, port: int | None = None) -> bool:
-    token = str(entry or "").strip().lower()
-    if not token:
-        return False
-    if token == "*":
-        return True
-
-    token_host, token_port = _split_host_port(token)
-    if token_port is not None and port is not None and token_port != port:
-        return False
-    if token_port is not None and port is None:
-        return False
-    if not token_host:
-        return False
-
-    try:
-        network = ipaddress.ip_network(token_host, strict=False)
-        try:
-            return ipaddress.ip_address(host) in network
-        except ValueError:
-            return False
-    except ValueError:
-        pass
-
-    try:
-        token_ip = ipaddress.ip_address(token_host)
-        try:
-            return ipaddress.ip_address(host) == token_ip
-        except ValueError:
-            return False
-    except ValueError:
-        pass
-
-    if token_host.startswith("*."):
-        suffix = token_host[1:]
-        return host.endswith(suffix)
-    if token_host.startswith("."):
-        return host == token_host[1:] or host.endswith(token_host)
-    return host == token_host or host.endswith(f".{token_host}")
-
-
-def should_bypass_proxy(target_hosts: str | list[str] | tuple[str, ...] | set[str] | None) -> bool:
-    """Return True when NO_PROXY/no_proxy matches at least one target host.
-
-    Supports exact hosts, domain suffixes, wildcard suffixes, IP literals,
-    CIDR ranges, optional host:port entries, and ``*``.
-    """
-    entries = _no_proxy_entries()
-    if not entries or not target_hosts:
-        return False
-    if isinstance(target_hosts, str):
-        candidates = [target_hosts]
-    else:
-        candidates = list(target_hosts)
-    for candidate in candidates:
-        host, port = _split_host_port(str(candidate))
-        if not host:
-            continue
-        if any(_no_proxy_entry_matches(entry, host, port) for entry in entries):
-            return True
-    return False
-
-
-def resolve_proxy_url(
-    platform_env_var: str | None = None,
-    *,
-    target_hosts: str | list[str] | tuple[str, ...] | set[str] | None = None,
-) -> str | None:
+def resolve_proxy_url(platform_env_var: str | None = None) -> str | None:
     """Return a proxy URL from env vars, or macOS system proxy.
 
     Check order:
@@ -251,26 +156,18 @@ def resolve_proxy_url(
       1. HTTPS_PROXY / HTTP_PROXY / ALL_PROXY (and lowercase variants)
       2. macOS system proxy via ``scutil --proxy`` (auto-detect)
 
-    Returns *None* if no proxy is found, or if NO_PROXY/no_proxy matches one
-    of ``target_hosts``.
+    Returns *None* if no proxy is found.
     """
     if platform_env_var:
         value = (os.environ.get(platform_env_var) or "").strip()
         if value:
-            if should_bypass_proxy(target_hosts):
-                return None
             return normalize_proxy_url(value)
     for key in ("HTTPS_PROXY", "HTTP_PROXY", "ALL_PROXY",
                 "https_proxy", "http_proxy", "all_proxy"):
         value = (os.environ.get(key) or "").strip()
         if value:
-            if should_bypass_proxy(target_hosts):
-                return None
             return normalize_proxy_url(value)
-    detected = normalize_proxy_url(_detect_macos_system_proxy())
-    if detected and should_bypass_proxy(target_hosts):
-        return None
-    return detected
+    return normalize_proxy_url(_detect_macos_system_proxy())
 
 
 def proxy_kwargs_for_bot(proxy_url: str | None) -> dict:
@@ -336,39 +233,6 @@ def proxy_kwargs_for_aiohttp(proxy_url: str | None) -> tuple[dict, dict]:
     return {}, {"proxy": proxy_url}
 
 
-def is_host_excluded_by_no_proxy(hostname: str, no_proxy_value: str | None = None) -> bool:
-    """Return True when ``hostname`` matches a ``NO_PROXY`` entry.
-
-    Supports comma- or whitespace-separated entries with optional leading dots
-    and ``*.`` wildcards, which match both the apex domain and subdomains.
-    """
-    raw = no_proxy_value
-    if raw is None:
-        raw = os.environ.get("NO_PROXY") or os.environ.get("no_proxy") or ""
-
-    raw = raw.strip()
-    if not raw:
-        return False
-
-    lower_hostname = hostname.lower()
-    for entry in re.split(r"[\s,]+", raw):
-        normalized = entry.strip().lower()
-        if not normalized:
-            continue
-        if normalized == "*":
-            return True
-
-        if normalized.startswith("*."):
-            normalized = normalized[2:]
-        elif normalized.startswith("."):
-            normalized = normalized[1:]
-
-        if lower_hostname == normalized or lower_hostname.endswith(f".{normalized}"):
-            return True
-
-    return False
-
-
 from dataclasses import dataclass, field
 from datetime import datetime
 from pathlib import Path
@@ -726,15 +590,7 @@ SUPPORTED_DOCUMENT_TYPES = {
     ".pdf": "application/pdf",
     ".md": "text/markdown",
     ".txt": "text/plain",
-    ".csv": "text/csv",
     ".log": "text/plain",
-    ".json": "application/json",
-    ".xml": "application/xml",
-    ".yaml": "application/yaml",
-    ".yml": "application/yaml",
-    ".toml": "application/toml",
-    ".ini": "text/plain",
-    ".cfg": "text/plain",
     ".zip": "application/zip",
     ".docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
     ".xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
@@ -896,10 +752,7 @@ class MessageEvent:
         if not self.is_command():
             return self.text
         parts = self.text.split(maxsplit=1)
-        args = parts[1] if len(parts) > 1 else ""
-        # iOS auto-corrects -- to — (em dash) and - to – (en dash)
-        args = args.replace("\u2014\u2014", "--").replace("\u2014", "--").replace("\u2013", "-")
-        return args
+        return parts[1] if len(parts) > 1 else ""
 
 
 @dataclass 
@@ -1023,61 +876,6 @@ def resolve_channel_prompt(
     return None
 
 
-def resolve_channel_skills(
-    config_extra: dict,
-    channel_id: str,
-    parent_id: str | None = None,
-) -> list[str] | None:
-    """Resolve auto-loaded skill(s) for a channel/thread from platform config.
-
-    Looks up ``channel_skill_bindings`` in the adapter's ``config.extra`` dict.
-
-    Config format::
-
-        channel_skill_bindings:
-          - id: "C0123"          # Slack channel ID or Discord channel/forum ID
-            skills: ["skill-a", "skill-b"]
-          - id: "D0ABCDE"
-            skill: "solo-skill"  # single string also accepted
-
-    Prefers an exact match on *channel_id*; falls back to *parent_id*
-    (useful for forum threads / Slack threads inheriting the parent channel's
-    binding).
-
-    Returns a deduplicated list of skill names (order preserved), or None if
-    no match is found.
-    """
-    bindings = config_extra.get("channel_skill_bindings") or []
-    if not isinstance(bindings, list) or not bindings:
-        return None
-    ids_to_check: set[str] = set()
-    if channel_id:
-        ids_to_check.add(str(channel_id))
-    if parent_id:
-        ids_to_check.add(str(parent_id))
-    if not ids_to_check:
-        return None
-    for entry in bindings:
-        if not isinstance(entry, dict):
-            continue
-        entry_id = str(entry.get("id", ""))
-        if entry_id in ids_to_check:
-            skills = entry.get("skills") or entry.get("skill")
-            if isinstance(skills, str):
-                s = skills.strip()
-                return [s] if s else None
-            if isinstance(skills, list) and skills:
-                seen: list[str] = []
-                for name in skills:
-                    if not isinstance(name, str):
-                        continue
-                    nm = name.strip()
-                    if nm and nm not in seen:
-                        seen.append(nm)
-                return seen or None
-    return None
-
-
 class BasePlatformAdapter(ABC):
     """
     Base class for platform adapters.
@@ -1099,16 +897,10 @@ class BasePlatformAdapter(ABC):
         self._fatal_error_retryable = True
         self._fatal_error_handler: Optional[Callable[["BasePlatformAdapter"], Awaitable[None] | None]] = None
         
-        # Track active message handlers per session for interrupt support.
-        # _active_sessions stores the per-session interrupt Event; _session_tasks
-        # maps session → the specific Task currently processing it so that
-        # session-terminating commands (/stop, /new, /reset) can cancel the
-        # right task and release the adapter-level guard deterministically.
-        # Without the owner-task map, an old task's finally block could delete
-        # a newer task's guard, leaving stale busy state.
+        # Track active message handlers per session for interrupt support
+        # Key: session_key (e.g., chat_id), Value: (event, asyncio.Event for interrupt)
         self._active_sessions: Dict[str, asyncio.Event] = {}
         self._pending_messages: Dict[str, MessageEvent] = {}
-        self._session_tasks: Dict[str, asyncio.Task] = {}
         # Background message-processing tasks spawned by handle_message().
         # Gateway shutdown cancels these so an old gateway instance doesn't keep
         # working on a task after --replace or manual restarts.
@@ -1121,20 +913,7 @@ class BasePlatformAdapter(ABC):
         self._post_delivery_callbacks: Dict[str, Any] = {}
         self._expected_cancelled_tasks: set[asyncio.Task] = set()
         self._busy_session_handler: Optional[Callable[[MessageEvent, str], Awaitable[bool]]] = None
-        # Auto-TTS on voice input: ``_auto_tts_default`` is the global default
-        # (``voice.auto_tts`` in config.yaml, pushed by GatewayRunner on connect).
-        # Per-chat overrides live in two sets populated from ``_voice_mode``:
-        #   - ``_auto_tts_enabled_chats``: chat explicitly opted in via ``/voice on``
-        #     or ``/voice tts`` (mode is ``voice_only`` or ``all``). Fires even when
-        #     the global default is False.
-        #   - ``_auto_tts_disabled_chats``: chat explicitly opted out via
-        #     ``/voice off`` (mode is ``off``). Suppresses auto-TTS even when the
-        #     global default is True.
-        # The gate in _process_message() is:
-        #   fire if chat in _auto_tts_enabled_chats
-        #     OR (_auto_tts_default and chat not in _auto_tts_disabled_chats)
-        self._auto_tts_default: bool = False
-        self._auto_tts_enabled_chats: set = set()
+        # Chats where auto-TTS on voice input is disabled (set by /voice off)
         self._auto_tts_disabled_chats: set = set()
         # Chats where typing indicator is paused (e.g. during approval waits).
         # _keep_typing skips send_typing when the chat_id is in this set.
@@ -1156,21 +935,6 @@ class BasePlatformAdapter(ABC):
     def fatal_error_retryable(self) -> bool:
         return self._fatal_error_retryable
 
-    def _should_auto_tts_for_chat(self, chat_id: str) -> bool:
-        """Whether auto-TTS on voice input should fire for ``chat_id``.
-
-        Decision layers (Issue #16007):
-          1. Explicit ``/voice on`` or ``/voice tts`` → always fire (even if
-             ``voice.auto_tts`` is False).
-          2. Explicit ``/voice off`` → never fire.
-          3. Fall back to the global ``voice.auto_tts`` config default.
-        """
-        if chat_id in self._auto_tts_enabled_chats:
-            return True
-        if chat_id in self._auto_tts_disabled_chats:
-            return False
-        return bool(self._auto_tts_default)
-
     def set_fatal_error_handler(self, handler: Callable[["BasePlatformAdapter"], Awaitable[None] | None]) -> None:
         self._fatal_error_handler = handler
 
@@ -1354,27 +1118,6 @@ class BasePlatformAdapter(ABC):
         """
         return SendResult(success=False, error="Not supported")
 
-    async def delete_message(
-        self,
-        chat_id: str,
-        message_id: str,
-    ) -> bool:
-        """
-        Delete a previously sent message.  Optional — platforms that don't
-        support deletion return ``False`` and callers fall back to leaving
-        the message in place.
-
-        Used by the stream consumer's fresh-final cleanup path (see
-        openclaw/openclaw#72038) to remove long-lived preview messages
-        after sending the completed reply as a fresh message so the
-        platform's visible timestamp reflects completion time.
-
-        Returns ``True`` on successful deletion, ``False`` otherwise.
-        Subclasses should override for platforms with a deletion API
-        (e.g. Telegram ``deleteMessage``).
-        """
-        return False
-
     async def send_typing(self, chat_id: str, metadata=None) -> None:
         """
         Send a typing indicator.
@@ -1600,7 +1343,7 @@ class BasePlatformAdapter(ABC):
         # Extract MEDIA:<path> tags, allowing optional whitespace after the colon
         # and quoted/backticked paths for LLM-formatted outputs.
         media_pattern = re.compile(
-            r'''[`"']?MEDIA:\s*(?P<path>`[^`\n]+`|"[^"\n]+"|'[^'\n]+'|(?:~/|/)\S+(?:[^\S\n]+\S+)*?\.(?:png|jpe?g|gif|webp|mp4|mov|avi|mkv|webm|ogg|opus|mp3|wav|m4a|epub|pdf|zip|rar|7z|docx?|xlsx?|pptx?|txt|csv|apk|ipa)(?=[\s`"',;:)\]}]|$)|\S+)[`"']?'''
+            r'''[`"']?MEDIA:\s*(?P<path>`[^`\n]+`|"[^"\n]+"|'[^'\n]+'|(?:~/|/)\S+(?:[^\S\n]+\S+)*?\.(?:png|jpe?g|gif|webp|mp4|mov|avi|mkv|webm|ogg|opus|mp3|wav|m4a)(?=[\s`"',;:)\]}]|$)|\S+)[`"']?'''
         )
         for match in media_pattern.finditer(content):
             path = match.group("path").strip()
@@ -1934,222 +1677,6 @@ class BasePlatformAdapter(ABC):
             return f"{existing_text}\n\n{new_text}".strip()
         return existing_text
 
-    # ------------------------------------------------------------------
-    # Session task + guard ownership helpers
-    # ------------------------------------------------------------------
-    # These were introduced together with the _session_tasks owner map to
-    # make session lifecycle reconciliation deterministic across (a) the
-    # normal completion path, (b) /stop/ /new/ /reset bypass commands,
-    # and (c) stale-lock self-heal on the next inbound message.
-
-    def _release_session_guard(
-        self,
-        session_key: str,
-        *,
-        guard: Optional[asyncio.Event] = None,
-    ) -> None:
-        """Release the adapter-level guard for a session.
-
-        When ``guard`` is provided, only release the entry if it still points
-        at that exact Event.  This lets reset-like commands swap in a temporary
-        guard while the old processing task unwinds, without having the old
-        task's cleanup accidentally clear the replacement guard.
-        """
-        current_guard = self._active_sessions.get(session_key)
-        if current_guard is None:
-            return
-        if guard is not None and current_guard is not guard:
-            return
-        del self._active_sessions[session_key]
-
-    def _session_task_is_stale(self, session_key: str) -> bool:
-        """Return True if the owner task for ``session_key`` is done/cancelled.
-
-        A lock is "stale" when the adapter still has ``_active_sessions[key]``
-        AND a known owner task in ``_session_tasks`` that has already exited.
-        When there is no owner task at all, that usually means the guard was
-        installed by some path other than handle_message() (tests sometimes
-        install guards directly) — don't treat that as stale.  The on-entry
-        self-heal only needs to handle the production split-brain case where
-        an owner task was recorded, then exited without clearing its guard.
-        """
-        task = self._session_tasks.get(session_key)
-        if task is None:
-            return False
-        done = getattr(task, "done", None)
-        return bool(done and done())
-
-    def _heal_stale_session_lock(self, session_key: str) -> bool:
-        """Clear a stale session lock if the owner task is already gone.
-
-        Returns True if a stale lock was healed.  Returns False if there is
-        no lock, or the owner task is still alive (the normal busy case).
-
-        This is the on-entry safety net sidbin's issue #11016 analysis calls
-        for: without it, a split-brain — adapter still thinks the session is
-        active, but nothing is actually processing — traps the chat in
-        infinite "Interrupting current task..." until the gateway is
-        restarted.
-        """
-        if session_key not in self._active_sessions:
-            return False
-        if not self._session_task_is_stale(session_key):
-            return False
-        logger.warning(
-            "[%s] Healing stale session lock for %s (owner task is done/absent)",
-            self.name,
-            session_key,
-        )
-        self._active_sessions.pop(session_key, None)
-        self._pending_messages.pop(session_key, None)
-        self._session_tasks.pop(session_key, None)
-        return True
-
-    def _start_session_processing(
-        self,
-        event: MessageEvent,
-        session_key: str,
-        *,
-        interrupt_event: Optional[asyncio.Event] = None,
-    ) -> bool:
-        """Spawn a background processing task under the given session guard.
-
-        Returns True on success.  If the runtime stubs ``create_task`` with a
-        non-Task sentinel (some tests do this), the guard is rolled back and
-        False is returned so the caller isn't left holding a half-installed
-        session lock.
-        """
-        guard = interrupt_event or asyncio.Event()
-        self._active_sessions[session_key] = guard
-
-        task = asyncio.create_task(self._process_message_background(event, session_key))
-        self._session_tasks[session_key] = task
-        try:
-            self._background_tasks.add(task)
-        except TypeError:
-            # Tests stub create_task() with lightweight sentinels that are not
-            # hashable and do not support lifecycle callbacks.
-            self._session_tasks.pop(session_key, None)
-            self._release_session_guard(session_key, guard=guard)
-            return False
-        if hasattr(task, "add_done_callback"):
-            task.add_done_callback(self._background_tasks.discard)
-            task.add_done_callback(self._expected_cancelled_tasks.discard)
-        return True
-
-    async def cancel_session_processing(
-        self,
-        session_key: str,
-        *,
-        release_guard: bool = True,
-        discard_pending: bool = True,
-    ) -> None:
-        """Cancel in-flight processing for a single session.
-
-        ``release_guard=False`` keeps the adapter-level session guard in place
-        so reset-like commands can finish atomically before follow-up messages
-        are allowed to start a fresh background task.
-        """
-        task = self._session_tasks.pop(session_key, None)
-        if task is not None and not task.done():
-            logger.debug(
-                "[%s] Cancelling active processing for session %s",
-                self.name,
-                session_key,
-            )
-            self._expected_cancelled_tasks.add(task)
-            task.cancel()
-            try:
-                await task
-            except asyncio.CancelledError:
-                pass
-            except Exception:
-                logger.debug(
-                    "[%s] Session cancellation raised while unwinding %s",
-                    self.name,
-                    session_key,
-                    exc_info=True,
-                )
-        if discard_pending:
-            self._pending_messages.pop(session_key, None)
-        if release_guard:
-            self._release_session_guard(session_key)
-
-    async def _drain_pending_after_session_command(
-        self,
-        session_key: str,
-        command_guard: asyncio.Event,
-    ) -> None:
-        """Resume the latest queued follow-up once a session command completes.
-
-        Called at the tail of /stop, /new, and /reset dispatch.  Releases the
-        command-scoped guard, then — if a follow-up message landed while the
-        command was running — spawns a fresh processing task for it.
-        """
-        pending_event = self._pending_messages.pop(session_key, None)
-        self._release_session_guard(session_key, guard=command_guard)
-        if pending_event is None:
-            return
-        self._start_session_processing(pending_event, session_key)
-
-    async def _dispatch_active_session_command(
-        self,
-        event: MessageEvent,
-        session_key: str,
-        cmd: str,
-    ) -> None:
-        """Dispatch a reset-like bypass command while preserving guard ordering.
-
-        /stop, /new, and /reset must:
-          1. Keep the session guard installed while the runner processes the
-             command (so a racing follow-up message stays queued, not
-             dispatched as a second parallel run).
-          2. Cancel the old in-flight adapter task only AFTER the runner has
-             finished handling the command (so the runner sees consistent
-             state and its response is sent in order).
-          3. Release the command-scoped guard and drain the latest queued
-             follow-up exactly once, after 1 and 2 complete.
-        """
-        logger.debug(
-            "[%s] Command '/%s' bypassing active-session guard for %s",
-            self.name,
-            cmd,
-            session_key,
-        )
-
-        current_guard = self._active_sessions.get(session_key)
-        command_guard = asyncio.Event()
-        self._active_sessions[session_key] = command_guard
-        thread_meta = {"thread_id": event.source.thread_id} if event.source.thread_id else None
-
-        try:
-            response = await self._message_handler(event)
-            # Old adapter task (if any) is cancelled AFTER the runner has
-            # fully handled the command — keeps ordering deterministic.
-            await self.cancel_session_processing(
-                session_key,
-                release_guard=False,
-                discard_pending=False,
-            )
-            if response:
-                await self._send_with_retry(
-                    chat_id=event.source.chat_id,
-                    content=response,
-                    reply_to=event.message_id,
-                    metadata=thread_meta,
-                )
-        except Exception:
-            # On failure, restore the original guard if one still exists so
-            # we don't leave the session in a half-reset state.
-            if self._active_sessions.get(session_key) is command_guard:
-                if session_key in self._session_tasks and current_guard is not None:
-                    self._active_sessions[session_key] = current_guard
-                else:
-                    self._release_session_guard(session_key, guard=command_guard)
-            raise
-
-        await self._drain_pending_after_session_command(session_key, command_guard)
-
     async def handle_message(self, event: MessageEvent) -> None:
         """
         Process an incoming message.
@@ -2166,15 +1693,7 @@ class BasePlatformAdapter(ABC):
             group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
             thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
         )
-
-        # On-entry self-heal: if the adapter still has an _active_sessions
-        # entry for this key but the owner task has already exited (done or
-        # cancelled), the lock is stale.  Clear it and fall through to
-        # normal dispatch so the user isn't trapped behind a dead guard —
-        # this is the split-brain tail described in issue #11016.
-        if session_key in self._active_sessions:
-            self._heal_stale_session_lock(session_key)
-
+        
         # Check if there's already an active handler for this session
         if session_key in self._active_sessions:
             # Certain commands must bypass the active-session guard and be
@@ -2191,23 +1710,6 @@ class BasePlatformAdapter(ABC):
             from hermes_cli.commands import should_bypass_active_session
 
             if should_bypass_active_session(cmd):
-                # /stop, /new, /reset must cancel the in-flight adapter task
-                # and preserve ordering of queued follow-ups.  Route those
-                # through the dedicated handoff path that serializes
-                # cancellation + runner response + pending drain.
-                if cmd in ("stop", "new", "reset"):
-                    try:
-                        await self._dispatch_active_session_command(event, session_key, cmd)
-                    except Exception as e:
-                        logger.error(
-                            "[%s] Command '/%s' dispatch failed: %s",
-                            self.name, cmd, e, exc_info=True,
-                        )
-                    return
-
-                # Other bypass commands (/approve, /deny, /status,
-                # /background, /restart) just need direct dispatch — they
-                # don't cancel the running task.
                 logger.debug(
                     "[%s] Command '/%s' bypassing active-session guard for %s",
                     self.name, cmd, session_key,
@@ -2253,9 +1755,19 @@ class BasePlatformAdapter(ABC):
         # starts would also pass the _active_sessions check and spawn a
         # duplicate task.  (grammY sequentialize / aiogram EventIsolation
         # pattern — set the guard synchronously, not inside the task.)
-        # _start_session_processing installs the guard AND the owner-task
-        # mapping atomically so stale-lock detection works.
-        self._start_session_processing(event, session_key)
+        self._active_sessions[session_key] = asyncio.Event()
+
+        # Spawn background task to process this message
+        task = asyncio.create_task(self._process_message_background(event, session_key))
+        try:
+            self._background_tasks.add(task)
+        except TypeError:
+            # Some tests stub create_task() with lightweight sentinels that are not
+            # hashable and do not support lifecycle callbacks.
+            return
+        if hasattr(task, "add_done_callback"):
+            task.add_done_callback(self._background_tasks.discard)
+            task.add_done_callback(self._expected_cancelled_tasks.discard)
     
     @staticmethod
     def _get_human_delay() -> float:
@@ -2359,14 +1871,12 @@ class BasePlatformAdapter(ABC):
                     logger.info("[%s] extract_local_files found %d file(s) in response", self.name, len(local_files))
                 
                 # Auto-TTS: if voice message, generate audio FIRST (before sending text)
-                # Gated via ``_should_auto_tts_for_chat``: fires when the chat has
-                # an explicit ``/voice on|tts`` opt-in OR when ``voice.auto_tts`` is
-                # True globally and no ``/voice off`` has been issued.
+                # Skipped when the chat has voice mode disabled (/voice off)
                 _tts_path = None
-                if (self._should_auto_tts_for_chat(event.source.chat_id)
-                        and event.message_type == MessageType.VOICE
+                if (event.message_type == MessageType.VOICE
                         and text_content
-                        and not media_files):
+                        and not media_files
+                        and event.source.chat_id not in self._auto_tts_disabled_chats):
                     try:
                         from tools.tts_tool import text_to_speech_tool, check_tts_requirements
                         if check_tts_requirements():
@@ -2617,9 +2127,6 @@ class BasePlatformAdapter(ABC):
                 drain_task = asyncio.create_task(
                     self._process_message_background(late_pending, session_key)
                 )
-                # Hand ownership of the session to the drain task so stale-lock
-                # detection keeps working while it runs.
-                self._session_tasks[session_key] = drain_task
                 try:
                     self._background_tasks.add(drain_task)
                     drain_task.add_done_callback(self._background_tasks.discard)
@@ -2629,14 +2136,9 @@ class BasePlatformAdapter(ABC):
                 # Leave _active_sessions[session_key] populated — the drain
                 # task's own lifecycle will clean it up.
             else:
-                # Clean up session tracking.  Guard-match both deletes so a
-                # reset-like command that already swapped in its own
-                # command_guard (and cancelled us) can't be accidentally
-                # cleared by our unwind.  The command owns the session now.
-                current_task = asyncio.current_task()
-                if current_task is not None and self._session_tasks.get(session_key) is current_task:
-                    del self._session_tasks[session_key]
-                self._release_session_guard(session_key, guard=interrupt_event)
+                # Clean up session tracking
+                if session_key in self._active_sessions:
+                    del self._active_sessions[session_key]
     
     async def cancel_background_tasks(self) -> None:
         """Cancel any in-flight background message-processing tasks.
@@ -2666,7 +2168,6 @@ class BasePlatformAdapter(ABC):
             # will be in self._background_tasks now.  Re-check.
         self._background_tasks.clear()
         self._expected_cancelled_tasks.clear()
-        self._session_tasks.clear()
         self._pending_messages.clear()
         self._active_sessions.clear()
 
@@ -2690,9 +2191,6 @@ class BasePlatformAdapter(ABC):
         user_id_alt: Optional[str] = None,
         chat_id_alt: Optional[str] = None,
         is_bot: bool = False,
-        guild_id: Optional[str] = None,
-        parent_chat_id: Optional[str] = None,
-        message_id: Optional[str] = None,
     ) -> SessionSource:
         """Helper to build a SessionSource for this platform."""
         # Normalize empty topic to None
@@ -2710,9 +2208,6 @@ class BasePlatformAdapter(ABC):
             user_id_alt=user_id_alt,
             chat_id_alt=chat_id_alt,
             is_bot=is_bot,
-            guild_id=str(guild_id) if guild_id else None,
-            parent_chat_id=str(parent_chat_id) if parent_chat_id else None,
-            message_id=str(message_id) if message_id else None,
         )
     
     @abstractmethod

gateway/platforms/bluebubbles.py

@@ -99,7 +99,6 @@ def _normalize_server_url(raw: str) -> str:
 
 class BlueBubblesAdapter(BasePlatformAdapter):
     platform = Platform.BLUEBUBBLES
-    SUPPORTS_MESSAGE_EDITING = False
     MAX_MESSAGE_LENGTH = MAX_TEXT_LENGTH
 
     def __init__(self, config: PlatformConfig):
@@ -392,13 +391,6 @@ class BlueBubblesAdapter(BasePlatformAdapter):
     # Text sending
     # ------------------------------------------------------------------
 
-    @staticmethod
-    def truncate_message(content: str, max_length: int = MAX_TEXT_LENGTH) -> List[str]:
-        # Use the base splitter but skip pagination indicators — iMessage
-        # bubbles flow naturally without "(1/3)" suffixes.
-        chunks = BasePlatformAdapter.truncate_message(content, max_length)
-        return [re.sub(r"\s*\(\d+/\d+\)$", "", c) for c in chunks]
-
     async def send(
         self,
         chat_id: str,
@@ -406,19 +398,10 @@ class BlueBubblesAdapter(BasePlatformAdapter):
         reply_to: Optional[str] = None,
         metadata: Optional[Dict[str, Any]] = None,
     ) -> SendResult:
-        text = self.format_message(content)
+        text = strip_markdown(content or "")
         if not text:
             return SendResult(success=False, error="BlueBubbles send requires text")
-        # Split on paragraph breaks first (double newlines) so each thought
-        # becomes its own iMessage bubble, then truncate any that are still
-        # too long.
-        paragraphs = [p.strip() for p in re.split(r'\n\s*\n', text) if p.strip()]
-        chunks: List[str] = []
-        for para in (paragraphs or [text]):
-            if len(para) <= self.MAX_MESSAGE_LENGTH:
-                chunks.append(para)
-            else:
-                chunks.extend(self.truncate_message(para, max_length=self.MAX_MESSAGE_LENGTH))
+        chunks = self.truncate_message(text, max_length=self.MAX_MESSAGE_LENGTH)
         last = SendResult(success=True)
         for chunk in chunks:
             guid = await self._resolve_chat_guid(chat_id)

gateway/platforms/discord.py

@@ -23,7 +23,6 @@ from typing import Callable, Dict, Optional, Any
 logger = logging.getLogger(__name__)
 
 VALID_THREAD_AUTO_ARCHIVE_MINUTES = {60, 1440, 4320, 10080}
-_DISCORD_COMMAND_SYNC_POLICIES = {"safe", "bulk", "off"}
 
 try:
     import discord
@@ -528,7 +527,6 @@ class DiscordAdapter(BasePlatformAdapter):
         # Reply threading mode: "off" (no replies), "first" (reply on first
         # chunk only, default), "all" (reply-reference on every chunk).
         self._reply_to_mode: str = getattr(config, 'reply_to_mode', 'first') or 'first'
-        self._slash_commands: bool = self.config.extra.get("slash_commands", True)
 
     async def connect(self) -> bool:
         """Connect to Discord and start receiving events."""
@@ -746,8 +744,7 @@ class DiscordAdapter(BasePlatformAdapter):
                     )
 
             # Register slash commands
-            if self._slash_commands:
-                self._register_slash_commands()
+            self._register_slash_commands()
 
             # Start the bot in background
             self._bot_task = asyncio.create_task(self._client.start(self.config.token))
@@ -803,27 +800,8 @@ class DiscordAdapter(BasePlatformAdapter):
         if not self._client:
             return
         try:
-            sync_policy = self._get_discord_command_sync_policy()
-            if sync_policy == "off":
-                logger.info("[%s] Skipping Discord slash command sync (policy=off)", self.name)
-                return
-
-            if sync_policy == "bulk":
-                synced = await asyncio.wait_for(self._client.tree.sync(), timeout=30)
-                logger.info("[%s] Synced %d slash command(s) via bulk tree sync", self.name, len(synced))
-                return
-
-            summary = await asyncio.wait_for(self._safe_sync_slash_commands(), timeout=30)
-            logger.info(
-                "[%s] Safely reconciled %d slash command(s): unchanged=%d updated=%d recreated=%d created=%d deleted=%d",
-                self.name,
-                summary["total"],
-                summary["unchanged"],
-                summary["updated"],
-                summary["recreated"],
-                summary["created"],
-                summary["deleted"],
-            )
+            synced = await asyncio.wait_for(self._client.tree.sync(), timeout=30)
+            logger.info("[%s] Synced %d slash command(s)", self.name, len(synced))
         except asyncio.TimeoutError:
             logger.warning("[%s] Slash command sync timed out after 30s", self.name)
         except asyncio.CancelledError:
@@ -831,183 +809,6 @@ class DiscordAdapter(BasePlatformAdapter):
         except Exception as e:  # pragma: no cover - defensive logging
             logger.warning("[%s] Slash command sync failed: %s", self.name, e, exc_info=True)
 
-    def _get_discord_command_sync_policy(self) -> str:
-        raw = str(os.getenv("DISCORD_COMMAND_SYNC_POLICY", "safe") or "").strip().lower()
-        if raw in _DISCORD_COMMAND_SYNC_POLICIES:
-            return raw
-        if raw:
-            logger.warning(
-                "[%s] Invalid DISCORD_COMMAND_SYNC_POLICY=%r; falling back to 'safe'",
-                self.name,
-                raw,
-            )
-        return "safe"
-
-    def _canonicalize_app_command_payload(self, payload: Dict[str, Any]) -> Dict[str, Any]:
-        """Reduce command payloads to the semantic fields Hermes manages."""
-        contexts = payload.get("contexts")
-        integration_types = payload.get("integration_types")
-        return {
-            "type": int(payload.get("type", 1) or 1),
-            "name": str(payload.get("name", "") or ""),
-            "description": str(payload.get("description", "") or ""),
-            "default_member_permissions": self._normalize_permissions(
-                payload.get("default_member_permissions")
-            ),
-            "dm_permission": bool(payload.get("dm_permission", True)),
-            "nsfw": bool(payload.get("nsfw", False)),
-            "contexts": sorted(int(c) for c in contexts) if contexts else None,
-            "integration_types": (
-                sorted(int(i) for i in integration_types) if integration_types else None
-            ),
-            "options": [
-                self._canonicalize_app_command_option(item)
-                for item in payload.get("options", []) or []
-                if isinstance(item, dict)
-            ],
-        }
-
-    @staticmethod
-    def _normalize_permissions(value: Any) -> Optional[str]:
-        """Discord emits default_member_permissions as str server-side but discord.py
-        sets it as int locally. Normalize to str-or-None so the comparison is stable."""
-        if value is None:
-            return None
-        return str(value)
-
-    def _existing_command_to_payload(self, command: Any) -> Dict[str, Any]:
-        """Build a canonical-ready dict from an AppCommand.
-
-        discord.py's AppCommand.to_dict() does NOT include nsfw,
-        dm_permission, or default_member_permissions (they live only on the
-        attributes). Pull them from the attributes so the canonicalizer sees
-        the real server-side values instead of defaults — otherwise any
-        command using non-default permissions would diff on every startup.
-        """
-        payload = dict(command.to_dict())
-        nsfw = getattr(command, "nsfw", None)
-        if nsfw is not None:
-            payload["nsfw"] = bool(nsfw)
-        guild_only = getattr(command, "guild_only", None)
-        if guild_only is not None:
-            payload["dm_permission"] = not bool(guild_only)
-        default_permissions = getattr(command, "default_member_permissions", None)
-        if default_permissions is not None:
-            payload["default_member_permissions"] = getattr(
-                default_permissions, "value", default_permissions
-            )
-        return payload
-
-    def _canonicalize_app_command_option(self, payload: Dict[str, Any]) -> Dict[str, Any]:
-        return {
-            "type": int(payload.get("type", 0) or 0),
-            "name": str(payload.get("name", "") or ""),
-            "description": str(payload.get("description", "") or ""),
-            "required": bool(payload.get("required", False)),
-            "autocomplete": bool(payload.get("autocomplete", False)),
-            "choices": [
-                {
-                    "name": str(choice.get("name", "") or ""),
-                    "value": choice.get("value"),
-                }
-                for choice in payload.get("choices", []) or []
-                if isinstance(choice, dict)
-            ],
-            "channel_types": list(payload.get("channel_types", []) or []),
-            "min_value": payload.get("min_value"),
-            "max_value": payload.get("max_value"),
-            "min_length": payload.get("min_length"),
-            "max_length": payload.get("max_length"),
-            "options": [
-                self._canonicalize_app_command_option(item)
-                for item in payload.get("options", []) or []
-                if isinstance(item, dict)
-            ],
-        }
-
-    def _patchable_app_command_payload(self, payload: Dict[str, Any]) -> Dict[str, Any]:
-        """Fields supported by discord.py's edit_global_command route."""
-        canonical = self._canonicalize_app_command_payload(payload)
-        return {
-            "name": canonical["name"],
-            "description": canonical["description"],
-            "options": canonical["options"],
-        }
-
-    async def _safe_sync_slash_commands(self) -> Dict[str, int]:
-        """Diff existing global commands and only mutate the commands that changed."""
-        if not self._client:
-            return {
-                "total": 0,
-                "unchanged": 0,
-                "updated": 0,
-                "recreated": 0,
-                "created": 0,
-                "deleted": 0,
-            }
-
-        tree = self._client.tree
-        app_id = getattr(self._client, "application_id", None) or getattr(getattr(self._client, "user", None), "id", None)
-        if not app_id:
-            raise RuntimeError("Discord application ID is unavailable for slash command sync")
-
-        desired_payloads = [command.to_dict(tree) for command in tree.get_commands()]
-        desired_by_key = {
-            (int(payload.get("type", 1) or 1), str(payload.get("name", "") or "").lower()): payload
-            for payload in desired_payloads
-        }
-        existing_commands = await tree.fetch_commands()
-        existing_by_key = {
-            (
-                int(getattr(getattr(command, "type", None), "value", getattr(command, "type", 1)) or 1),
-                str(command.name or "").lower(),
-            ): command
-            for command in existing_commands
-        }
-
-        unchanged = 0
-        updated = 0
-        recreated = 0
-        created = 0
-        deleted = 0
-        http = self._client.http
-
-        for key, desired in desired_by_key.items():
-            current = existing_by_key.pop(key, None)
-            if current is None:
-                await http.upsert_global_command(app_id, desired)
-                created += 1
-                continue
-
-            current_existing_payload = self._existing_command_to_payload(current)
-            current_payload = self._canonicalize_app_command_payload(current_existing_payload)
-            desired_payload = self._canonicalize_app_command_payload(desired)
-            if current_payload == desired_payload:
-                unchanged += 1
-                continue
-
-            if self._patchable_app_command_payload(current_existing_payload) == self._patchable_app_command_payload(desired):
-                await http.delete_global_command(app_id, current.id)
-                await http.upsert_global_command(app_id, desired)
-                recreated += 1
-                continue
-
-            await http.edit_global_command(app_id, current.id, desired)
-            updated += 1
-
-        for current in existing_by_key.values():
-            await http.delete_global_command(app_id, current.id)
-            deleted += 1
-
-        return {
-            "total": len(desired_payloads),
-            "unchanged": unchanged,
-            "updated": updated,
-            "recreated": recreated,
-            "created": created,
-            "deleted": deleted,
-        }
-
     async def _add_reaction(self, message: Any, emoji: str) -> bool:
         """Add an emoji reaction to a Discord message."""
         if not message or not hasattr(message, "add_reaction"):
@@ -2246,6 +2047,10 @@ class DiscordAdapter(BasePlatformAdapter):
         async def slash_usage(interaction: discord.Interaction):
             await self._run_simple_slash(interaction, "/usage")
 
+        @tree.command(name="provider", description="Show available providers")
+        async def slash_provider(interaction: discord.Interaction):
+            await self._run_simple_slash(interaction, "/provider")
+
         @tree.command(name="help", description="Show available commands")
         async def slash_help(interaction: discord.Interaction):
             await self._run_simple_slash(interaction, "/help")
@@ -2315,46 +2120,19 @@ class DiscordAdapter(BasePlatformAdapter):
         async def slash_background(interaction: discord.Interaction, prompt: str):
             await self._run_simple_slash(interaction, f"/background {prompt}", "Background task started~")
 
+        @tree.command(name="btw", description="Ephemeral side question using session context")
+        @discord.app_commands.describe(question="Your side question (no tools, not persisted)")
+        async def slash_btw(interaction: discord.Interaction, question: str):
+            await self._run_simple_slash(interaction, f"/btw {question}")
+
         # ── Auto-register any gateway-available commands not yet on the tree ──
         # This ensures new commands added to COMMAND_REGISTRY in
         # hermes_cli/commands.py automatically appear as Discord slash
         # commands without needing a manual entry here.
-        def _build_auto_slash_command(_name: str, _description: str, _args_hint: str = ""):
-            """Build a discord.app_commands.Command that proxies to _run_simple_slash."""
-            discord_name = _name.lower()[:32]
-            desc = (_description or f"Run /{_name}")[:100]
-            has_args = bool(_args_hint)
-
-            if has_args:
-                def _make_args_handler(__name: str, __hint: str):
-                    @discord.app_commands.describe(args=f"Arguments: {__hint}"[:100])
-                    async def _handler(interaction: discord.Interaction, args: str = ""):
-                        await self._run_simple_slash(
-                            interaction, f"/{__name} {args}".strip()
-                        )
-                    _handler.__name__ = f"auto_slash_{__name.replace('-', '_')}"
-                    return _handler
-
-                handler = _make_args_handler(_name, _args_hint)
-            else:
-                def _make_simple_handler(__name: str):
-                    async def _handler(interaction: discord.Interaction):
-                        await self._run_simple_slash(interaction, f"/{__name}")
-                    _handler.__name__ = f"auto_slash_{__name.replace('-', '_')}"
-                    return _handler
-
-                handler = _make_simple_handler(_name)
-
-            return discord.app_commands.Command(
-                name=discord_name,
-                description=desc,
-                callback=handler,
-            )
-
-        already_registered: set[str] = set()
         try:
             from hermes_cli.commands import COMMAND_REGISTRY, _is_gateway_available, _resolve_config_gates
 
+            already_registered = set()
             try:
                 already_registered = {cmd.name for cmd in tree.get_commands()}
             except Exception:
@@ -2369,10 +2147,38 @@ class DiscordAdapter(BasePlatformAdapter):
                 discord_name = cmd_def.name.lower()[:32]
                 if discord_name in already_registered:
                     continue
-                auto_cmd = _build_auto_slash_command(
-                    cmd_def.name,
-                    cmd_def.description,
-                    cmd_def.args_hint,
+                # Skip aliases that overlap with already-registered names
+                # (aliases for explicitly registered commands are handled above).
+                desc = (cmd_def.description or f"Run /{cmd_def.name}")[:100]
+                has_args = bool(cmd_def.args_hint)
+
+                if has_args:
+                    # Command takes optional arguments — create handler with
+                    # an optional ``args`` string parameter.
+                    def _make_args_handler(_name: str, _hint: str):
+                        @discord.app_commands.describe(args=f"Arguments: {_hint}"[:100])
+                        async def _handler(interaction: discord.Interaction, args: str = ""):
+                            await self._run_simple_slash(
+                                interaction, f"/{_name} {args}".strip()
+                            )
+                        _handler.__name__ = f"auto_slash_{_name.replace('-', '_')}"
+                        return _handler
+
+                    handler = _make_args_handler(cmd_def.name, cmd_def.args_hint)
+                else:
+                    # Parameterless command.
+                    def _make_simple_handler(_name: str):
+                        async def _handler(interaction: discord.Interaction):
+                            await self._run_simple_slash(interaction, f"/{_name}")
+                        _handler.__name__ = f"auto_slash_{_name.replace('-', '_')}"
+                        return _handler
+
+                    handler = _make_simple_handler(cmd_def.name)
+
+                auto_cmd = discord.app_commands.Command(
+                    name=discord_name,
+                    description=desc,
+                    callback=handler,
                 )
                 try:
                     tree.add_command(auto_cmd)
@@ -2389,35 +2195,6 @@ class DiscordAdapter(BasePlatformAdapter):
         except Exception as e:
             logger.warning("Discord auto-register from COMMAND_REGISTRY failed: %s", e)
 
-        # ── Plugin-registered slash commands ──
-        # Plugins register via PluginContext.register_command(); we mirror
-        # those into Discord's native slash picker so users get the same
-        # autocomplete UX as for built-in commands. No per-platform plugin
-        # API needed — plugin commands are platform-agnostic.
-        try:
-            from hermes_cli.commands import _iter_plugin_command_entries
-
-            for plugin_name, plugin_desc, plugin_args_hint in _iter_plugin_command_entries():
-                discord_name = plugin_name.lower()[:32]
-                if discord_name in already_registered:
-                    continue
-                auto_cmd = _build_auto_slash_command(
-                    plugin_name,
-                    plugin_desc,
-                    plugin_args_hint,
-                )
-                try:
-                    tree.add_command(auto_cmd)
-                    already_registered.add(discord_name)
-                except Exception:
-                    # Silently skip commands that fail registration (e.g.
-                    # name conflict with a subcommand group).
-                    pass
-        except Exception as e:
-            logger.warning(
-                "Discord auto-register from plugin commands failed: %s", e
-            )
-
         # Register skills under a single /skill command group with category
         # subcommand groups.  This uses 1 top-level slot instead of N,
         # supporting up to 25 categories × 25 skills = 625 skills.
@@ -2679,8 +2456,21 @@ class DiscordAdapter(BasePlatformAdapter):
                 skills: ["skill-a", "skill-b"]
         Also checks parent_id so forum threads inherit the forum's bindings.
         """
-        from gateway.platforms.base import resolve_channel_skills
-        return resolve_channel_skills(self.config.extra, channel_id, parent_id)
+        bindings = self.config.extra.get("channel_skill_bindings", [])
+        if not bindings:
+            return None
+        ids_to_check = {channel_id}
+        if parent_id:
+            ids_to_check.add(parent_id)
+        for entry in bindings:
+            entry_id = str(entry.get("id", ""))
+            if entry_id in ids_to_check:
+                skills = entry.get("skills") or entry.get("skill")
+                if isinstance(skills, str):
+                    return [skills]
+                if isinstance(skills, list) and skills:
+                    return list(dict.fromkeys(skills))  # dedup, preserve order
+        return None
 
     def _resolve_channel_prompt(self, channel_id: str, parent_id: str | None = None) -> str | None:
         """Resolve a Discord per-channel prompt, preferring the exact channel over its parent."""
@@ -2697,12 +2487,7 @@ class DiscordAdapter(BasePlatformAdapter):
         return os.getenv("DISCORD_REQUIRE_MENTION", "true").lower() not in ("false", "0", "no", "off")
 
     def _discord_free_response_channels(self) -> set:
-        """Return Discord channel IDs where no bot mention is required.
-
-        A single ``"*"`` entry (either from a list or a comma-separated
-        string) is preserved in the returned set so callers can short-circuit
-        on wildcard membership, consistent with ``allowed_channels``.
-        """
+        """Return Discord channel IDs where no bot mention is required."""
         raw = self.config.extra.get("free_response_channels")
         if raw is None:
             raw = os.getenv("DISCORD_FREE_RESPONSE_CHANNELS", "")
@@ -3195,14 +2980,14 @@ class DiscordAdapter(BasePlatformAdapter):
             allowed_channels_raw = os.getenv("DISCORD_ALLOWED_CHANNELS", "")
             if allowed_channels_raw:
                 allowed_channels = {ch.strip() for ch in allowed_channels_raw.split(",") if ch.strip()}
-                if "*" not in allowed_channels and not (channel_ids & allowed_channels):
+                if not (channel_ids & allowed_channels):
                     logger.debug("[%s] Ignoring message in non-allowed channel: %s", self.name, channel_ids)
                     return
 
             # Check ignored channels - never respond even when mentioned
             ignored_channels_raw = os.getenv("DISCORD_IGNORED_CHANNELS", "")
             ignored_channels = {ch.strip() for ch in ignored_channels_raw.split(",") if ch.strip()}
-            if "*" in ignored_channels or (channel_ids & ignored_channels):
+            if channel_ids & ignored_channels:
                 logger.debug("[%s] Ignoring message in ignored channel: %s", self.name, channel_ids)
                 return
 
@@ -3216,11 +3001,7 @@ class DiscordAdapter(BasePlatformAdapter):
             voice_linked_ids = {str(ch_id) for ch_id in self._voice_text_channels.values()}
             current_channel_id = str(message.channel.id)
             is_voice_linked_channel = current_channel_id in voice_linked_ids
-            is_free_channel = (
-                "*" in free_channels
-                or bool(channel_ids & free_channels)
-                or is_voice_linked_channel
-            )
+            is_free_channel = bool(channel_ids & free_channels) or is_voice_linked_channel
 
             # Skip the mention check if the message is in a thread where
             # the bot has previously participated (auto-created or replied in).
@@ -3243,7 +3024,6 @@ class DiscordAdapter(BasePlatformAdapter):
             if auto_thread and not skip_thread and not is_voice_linked_channel and not is_reply_message:
                 thread = await self._auto_create_thread(message)
                 if thread:
-                    parent_channel_id = str(message.channel.id)
                     is_thread = True
                     thread_id = str(thread.id)
                     auto_threaded_channel = thread
@@ -3303,9 +3083,6 @@ class DiscordAdapter(BasePlatformAdapter):
             thread_id=thread_id,
             chat_topic=chat_topic,
             is_bot=getattr(message.author, "bot", False),
-            guild_id=str(message.guild.id) if message.guild else None,
-            parent_chat_id=parent_channel_id,
-            message_id=str(message.id),
         )
 
         # Build media URLs -- download image attachments to local cache so the
@@ -3857,15 +3634,6 @@ if DISCORD_AVAILABLE:
 
             self.resolved = True
             model_id = interaction.data["values"][0]
-            self.clear_items()
-            await interaction.response.edit_message(
-                embed=discord.Embed(
-                    title="⚙ Switching Model",
-                    description=f"Switching to `{model_id}`...",
-                    color=discord.Color.blue(),
-                ),
-                view=None,
-            )
 
             try:
                 result_text = await self.on_model_selected(
@@ -3876,13 +3644,14 @@ if DISCORD_AVAILABLE:
             except Exception as exc:
                 result_text = f"Error switching model: {exc}"
 
-            await interaction.edit_original_response(
+            self.clear_items()
+            await interaction.response.edit_message(
                 embed=discord.Embed(
                     title="⚙ Model Switched",
                     description=result_text,
                     color=discord.Color.green(),
                 ),
-                view=None,
+                view=self,
             )
 
         async def _on_back(self, interaction: discord.Interaction):

gateway/platforms/email.py

@@ -545,7 +545,6 @@ class EmailAdapter(BasePlatformAdapter):
         caption: Optional[str] = None,
         file_name: Optional[str] = None,
         reply_to: Optional[str] = None,
-        **kwargs,
     ) -> SendResult:
         """Send a file as an email attachment."""
         try:

gateway/platforms/feishu.py

@@ -14,35 +14,6 @@ Supports:
 - Interactive card button-click events routed as synthetic COMMAND events
 - Webhook anomaly tracking (matches openclaw createWebhookAnomalyTracker)
 - Verification token validation as second auth layer (matches openclaw)
-
-Feishu identity model
----------------------
-Feishu uses three user-ID tiers (official docs:
-https://open.feishu.cn/document/home/user-identity-introduction/introduction):
-
-  open_id  (ou_xxx)  — **App-scoped**.  The same person gets a different
-                        open_id under each Feishu app.  Always available in
-                        event payloads without extra permissions.
-  user_id  (u_xxx)   — **Tenant-scoped**.  Stable within a company but
-                        requires the ``contact:user.employee_id:readonly``
-                        scope.  May not be present.
-  union_id (on_xxx)  — **Developer-scoped**.  Same across all apps owned by
-                        one developer/ISV.  Best cross-app stable ID.
-
-For bots specifically:
-
-  app_id              — The application's canonical credential identifier.
-  bot open_id         — Returned by ``/bot/v3/info``.  This is the bot's own
-                        open_id *within its app context* and is what Feishu
-                        puts in ``mentions[].id.open_id`` when someone
-                        @-mentions the bot.  Used for mention gating only.
-
-In single-bot mode (what Hermes currently supports), open_id works as a
-de-facto unique user identifier since there is only one app context.
-
-Session-key participant isolation prefers ``union_id`` (via user_id_alt)
-over ``open_id`` (via user_id) so that sessions stay stable if the same
-user is seen through different apps in the future.
 """
 
 from __future__ import annotations
@@ -64,7 +35,7 @@ from dataclasses import dataclass, field
 from datetime import datetime
 from pathlib import Path
 from types import SimpleNamespace
-from typing import Any, Dict, List, Optional, Sequence
+from typing import Any, Dict, List, Optional
 from urllib.error import HTTPError, URLError
 from urllib.parse import urlencode
 from urllib.request import Request, urlopen
@@ -102,9 +73,7 @@ try:
         UpdateMessageRequest,
         UpdateMessageRequestBody,
     )
-    from lark_oapi.core import AccessTokenType, HttpMethod
     from lark_oapi.core.const import FEISHU_DOMAIN, LARK_DOMAIN
-    from lark_oapi.core.model import BaseRequest
     from lark_oapi.event.callback.model.p2_card_action_trigger import (
         CallBackCard,
         P2CardActionTriggerResponse,
@@ -265,8 +234,6 @@ FALLBACK_ATTACHMENT_TEXT = "[Attachment]"
 _PREFERRED_LOCALES = ("zh_cn", "en_us")
 _MARKDOWN_SPECIAL_CHARS_RE = re.compile(r"([\\`*_{}\[\]()#+\-!|>~])")
 _MENTION_PLACEHOLDER_RE = re.compile(r"@_user_\d+")
-_MENTION_BOUNDARY_CHARS = frozenset(" \t\n\r.,;:!?、，。；：！？()[]{}<>\"'`")
-_TRAILING_TERMINAL_PUNCT = frozenset(" \t\n\r.!?。！？")
 _WHITESPACE_RE = re.compile(r"\s+")
 _SUPPORTED_CARD_TEXT_KEYS = (
     "title",
@@ -310,36 +277,12 @@ class FeishuPostMediaRef:
     resource_type: str = "file"
 
 
-@dataclass(frozen=True)
-class FeishuMentionRef:
-    name: str = ""
-    open_id: str = ""
-    is_all: bool = False
-    is_self: bool = False
-
-
-@dataclass(frozen=True)
-class _FeishuBotIdentity:
-    open_id: str = ""
-    user_id: str = ""
-    name: str = ""
-
-    def matches(self, *, open_id: str, user_id: str, name: str) -> bool:
-        # Precedence: open_id > user_id > name. IDs are authoritative when both
-        # sides have them; the next tier is only considered when either side
-        # lacks the current one.
-        if open_id and self.open_id:
-            return open_id == self.open_id
-        if user_id and self.user_id:
-            return user_id == self.user_id
-        return bool(self.name) and name == self.name
-
-
 @dataclass(frozen=True)
 class FeishuPostParseResult:
     text_content: str
     image_keys: List[str] = field(default_factory=list)
     media_refs: List[FeishuPostMediaRef] = field(default_factory=list)
+    mentioned_ids: List[str] = field(default_factory=list)
 
 
 @dataclass(frozen=True)
@@ -349,14 +292,14 @@ class FeishuNormalizedMessage:
     preferred_message_type: str = "text"
     image_keys: List[str] = field(default_factory=list)
     media_refs: List[FeishuPostMediaRef] = field(default_factory=list)
-    mentions: List[FeishuMentionRef] = field(default_factory=list)
+    mentioned_ids: List[str] = field(default_factory=list)
     relation_kind: str = "plain"
     metadata: Dict[str, Any] = field(default_factory=dict)
 
 
 @dataclass(frozen=True)
 class FeishuAdapterSettings:
-    app_id: str  # Canonical bot/app identifier (credential, not from event payloads)
+    app_id: str
     app_secret: str
     domain_name: str
     connection_mode: str
@@ -364,11 +307,7 @@ class FeishuAdapterSettings:
     verification_token: str
     group_policy: str
     allowed_group_users: frozenset[str]
-    # Bot's own open_id (app-scoped) — returned by /bot/v3/info.  Used only for
-    # @mention matching: Feishu puts this value in mentions[].id.open_id when
-    # a user @-mentions the bot in a group chat.
     bot_open_id: str
-    # Bot's user_id (tenant-scoped) — optional, used as fallback mention match.
     bot_user_id: str
     bot_name: str
     dedup_cache_size: int
@@ -566,17 +505,14 @@ def _build_markdown_post_rows(content: str) -> List[List[Dict[str, str]]]:
     return rows or [[{"tag": "md", "text": content}]]
 
 
-def parse_feishu_post_payload(
-    payload: Any,
-    *,
-    mentions_map: Optional[Dict[str, FeishuMentionRef]] = None,
-) -> FeishuPostParseResult:
+def parse_feishu_post_payload(payload: Any) -> FeishuPostParseResult:
     resolved = _resolve_post_payload(payload)
     if not resolved:
         return FeishuPostParseResult(text_content=FALLBACK_POST_TEXT)
 
     image_keys: List[str] = []
     media_refs: List[FeishuPostMediaRef] = []
+    mentioned_ids: List[str] = []
     parts: List[str] = []
 
     title = _normalize_feishu_text(str(resolved.get("title", "")).strip())
@@ -587,10 +523,7 @@ def parse_feishu_post_payload(
         if not isinstance(row, list):
             continue
         row_text = _normalize_feishu_text(
-            "".join(
-                _render_post_element(item, image_keys, media_refs, mentions_map)
-                for item in row
-            )
+            "".join(_render_post_element(item, image_keys, media_refs, mentioned_ids) for item in row)
         )
         if row_text:
             parts.append(row_text)
@@ -599,6 +532,7 @@ def parse_feishu_post_payload(
         text_content="\n".join(parts).strip() or FALLBACK_POST_TEXT,
         image_keys=image_keys,
         media_refs=media_refs,
+        mentioned_ids=mentioned_ids,
     )
 
 
@@ -650,7 +584,7 @@ def _render_post_element(
     element: Any,
     image_keys: List[str],
     media_refs: List[FeishuPostMediaRef],
-    mentions_map: Optional[Dict[str, FeishuMentionRef]] = None,
+    mentioned_ids: List[str],
 ) -> str:
     if isinstance(element, str):
         return element
@@ -668,21 +602,19 @@ def _render_post_element(
         escaped_label = _escape_markdown_text(label)
         return f"[{escaped_label}]({href})" if href else escaped_label
     if tag == "at":
-        # Post <at>.user_id is a placeholder ("@_user_N" or "@_all"); look up
-        # the real ref in mentions_map for the display name.
-        placeholder = str(element.get("user_id", "")).strip()
-        if placeholder == "@_all":
-            # Feishu SDK sometimes omits @_all from the top-level mentions
-            # payload; record it here so the caller's mention list stays complete.
-            if mentions_map is not None and "@_all" not in mentions_map:
-                mentions_map["@_all"] = FeishuMentionRef(is_all=True)
-            return "@all"
-        ref = (mentions_map or {}).get(placeholder)
-        if ref is not None:
-            display_name = ref.name or ref.open_id or "user"
-        else:
-            display_name = str(element.get("user_name", "")).strip() or "user"
-        return f"@{_escape_markdown_text(display_name)}"
+        mentioned_id = (
+            str(element.get("open_id", "")).strip()
+            or str(element.get("user_id", "")).strip()
+        )
+        if mentioned_id and mentioned_id not in mentioned_ids:
+            mentioned_ids.append(mentioned_id)
+        display_name = (
+            str(element.get("user_name", "")).strip()
+            or str(element.get("name", "")).strip()
+            or str(element.get("text", "")).strip()
+            or mentioned_id
+        )
+        return f"@{_escape_markdown_text(display_name)}" if display_name else "@"
     if tag in {"img", "image"}:
         image_key = str(element.get("image_key", "")).strip()
         if image_key and image_key not in image_keys:
@@ -720,7 +652,8 @@ def _render_post_element(
 
     nested_parts: List[str] = []
     for key in ("text", "title", "content", "children", "elements"):
-        extracted = _render_nested_post(element.get(key), image_keys, media_refs, mentions_map)
+        value = element.get(key)
+        extracted = _render_nested_post(value, image_keys, media_refs, mentioned_ids)
         if extracted:
             nested_parts.append(extracted)
     return " ".join(part for part in nested_parts if part)
@@ -730,7 +663,7 @@ def _render_nested_post(
     value: Any,
     image_keys: List[str],
     media_refs: List[FeishuPostMediaRef],
-    mentions_map: Optional[Dict[str, FeishuMentionRef]] = None,
+    mentioned_ids: List[str],
 ) -> str:
     if isinstance(value, str):
         return _escape_markdown_text(value)
@@ -738,17 +671,17 @@ def _render_nested_post(
         return " ".join(
             part
             for item in value
-            for part in [_render_nested_post(item, image_keys, media_refs, mentions_map)]
+            for part in [_render_nested_post(item, image_keys, media_refs, mentioned_ids)]
             if part
         )
     if isinstance(value, dict):
-        direct = _render_post_element(value, image_keys, media_refs, mentions_map)
+        direct = _render_post_element(value, image_keys, media_refs, mentioned_ids)
         if direct:
             return direct
         return " ".join(
             part
             for item in value.values()
-            for part in [_render_nested_post(item, image_keys, media_refs, mentions_map)]
+            for part in [_render_nested_post(item, image_keys, media_refs, mentioned_ids)]
             if part
         )
     return ""
@@ -759,48 +692,31 @@ def _render_nested_post(
 # ---------------------------------------------------------------------------
 
 
-def normalize_feishu_message(
-    *,
-    message_type: str,
-    raw_content: str,
-    mentions: Optional[Sequence[Any]] = None,
-    bot: _FeishuBotIdentity = _FeishuBotIdentity(),
-) -> FeishuNormalizedMessage:
+def normalize_feishu_message(*, message_type: str, raw_content: str) -> FeishuNormalizedMessage:
     normalized_type = str(message_type or "").strip().lower()
     payload = _load_feishu_payload(raw_content)
-    mentions_map = _build_mentions_map(mentions, bot)
 
     if normalized_type == "text":
-        text = str(payload.get("text", "") or "")
-        # Feishu SDK sometimes omits @_all from the mentions payload even when
-        # the text literal contains it (confirmed via im.v1.message.get).
-        if "@_all" in text and "@_all" not in mentions_map:
-            mentions_map["@_all"] = FeishuMentionRef(is_all=True)
         return FeishuNormalizedMessage(
             raw_type=normalized_type,
-            text_content=_normalize_feishu_text(text, mentions_map),
-            mentions=list(mentions_map.values()),
+            text_content=_normalize_feishu_text(str(payload.get("text", "") or "")),
         )
     if normalized_type == "post":
-        # The walker writes back to mentions_map if it encounters
-        # <at user_id="@_all">, so reading .values() after parsing is enough.
-        parsed_post = parse_feishu_post_payload(payload, mentions_map=mentions_map)
+        parsed_post = parse_feishu_post_payload(payload)
         return FeishuNormalizedMessage(
             raw_type=normalized_type,
             text_content=parsed_post.text_content,
             image_keys=list(parsed_post.image_keys),
             media_refs=list(parsed_post.media_refs),
-            mentions=list(mentions_map.values()),
+            mentioned_ids=list(parsed_post.mentioned_ids),
             relation_kind="post",
         )
-    mention_refs = list(mentions_map.values())
     if normalized_type == "image":
         image_key = str(payload.get("image_key", "") or "").strip()
         alt_text = _normalize_feishu_text(
             str(payload.get("text", "") or "")
             or str(payload.get("alt", "") or "")
-            or FALLBACK_IMAGE_TEXT,
-            mentions_map,
+            or FALLBACK_IMAGE_TEXT
         )
         return FeishuNormalizedMessage(
             raw_type=normalized_type,
@@ -808,7 +724,6 @@ def normalize_feishu_message(
             preferred_message_type="photo",
             image_keys=[image_key] if image_key else [],
             relation_kind="image",
-            mentions=mention_refs,
         )
     if normalized_type in {"file", "audio", "media"}:
         media_ref = _build_media_ref_from_payload(payload, resource_type=normalized_type)
@@ -820,7 +735,6 @@ def normalize_feishu_message(
             media_refs=[media_ref] if media_ref.file_key else [],
             relation_kind=normalized_type,
             metadata={"placeholder_text": placeholder},
-            mentions=mention_refs,
         )
     if normalized_type == "merge_forward":
         return _normalize_merge_forward_message(payload)
@@ -1095,20 +1009,8 @@ def _first_non_empty_text(*values: Any) -> str:
 # ---------------------------------------------------------------------------
 
 
-def _normalize_feishu_text(
-    text: str,
-    mentions_map: Optional[Dict[str, FeishuMentionRef]] = None,
-) -> str:
-    def _sub(match: "re.Match[str]") -> str:
-        key = match.group(0)
-        ref = (mentions_map or {}).get(key)
-        if ref is None:
-            return " "
-        name = ref.name or ref.open_id or "user"
-        return f"@{name}"
-
-    cleaned = _MENTION_PLACEHOLDER_RE.sub(_sub, text or "")
-    cleaned = cleaned.replace("@_all", "@all")
+def _normalize_feishu_text(text: str) -> str:
+    cleaned = _MENTION_PLACEHOLDER_RE.sub(" ", text or "")
     cleaned = cleaned.replace("\r\n", "\n").replace("\r", "\n")
     cleaned = "\n".join(_WHITESPACE_RE.sub(" ", line).strip() for line in cleaned.split("\n"))
     cleaned = "\n".join(line for line in cleaned.split("\n") if line)
@@ -1127,117 +1029,6 @@ def _unique_lines(lines: List[str]) -> List[str]:
     return unique
 
 
-# ---------------------------------------------------------------------------
-# Mention helpers
-# ---------------------------------------------------------------------------
-
-
-def _extract_mention_ids(mention: Any) -> tuple[str, str]:
-    # Returns (open_id, user_id). im.v1.message.get hands back id as a string
-    # plus id_type discriminator; event payloads hand back a nested UserId
-    # object carrying both fields.
-    mention_id = getattr(mention, "id", None)
-    if isinstance(mention_id, str):
-        id_type = str(getattr(mention, "id_type", "") or "").lower()
-        if id_type == "open_id":
-            return mention_id, ""
-        if id_type == "user_id":
-            return "", mention_id
-        return "", ""
-    if mention_id is None:
-        return "", ""
-    return (
-        str(getattr(mention_id, "open_id", "") or ""),
-        str(getattr(mention_id, "user_id", "") or ""),
-    )
-
-
-def _build_mentions_map(
-    mentions: Optional[Sequence[Any]],
-    bot: _FeishuBotIdentity,
-) -> Dict[str, FeishuMentionRef]:
-    result: Dict[str, FeishuMentionRef] = {}
-    for mention in mentions or []:
-        key = str(getattr(mention, "key", "") or "")
-        if not key:
-            continue
-        if key == "@_all":
-            result[key] = FeishuMentionRef(is_all=True)
-            continue
-        open_id, user_id = _extract_mention_ids(mention)
-        name = str(getattr(mention, "name", "") or "").strip()
-        result[key] = FeishuMentionRef(
-            name=name,
-            open_id=open_id,
-            is_self=bot.matches(open_id=open_id, user_id=user_id, name=name),
-        )
-    return result
-
-
-def _build_mention_hint(mentions: Sequence[FeishuMentionRef]) -> str:
-    parts: List[str] = []
-    seen: set = set()
-    for ref in mentions:
-        if ref.is_self:
-            continue
-        signature = (ref.is_all, ref.open_id, ref.name)
-        if signature in seen:
-            continue
-        seen.add(signature)
-        if ref.is_all:
-            parts.append("@all")
-        elif ref.open_id:
-            parts.append(f"{ref.name or 'unknown'} (open_id={ref.open_id})")
-        else:
-            parts.append(ref.name or "unknown")
-    return f"[Mentioned: {', '.join(parts)}]" if parts else ""
-
-
-def _strip_edge_self_mentions(
-    text: str,
-    mentions: Sequence[FeishuMentionRef],
-) -> str:
-    # Leading: strip consecutive self-mentions unconditionally.
-    # Trailing: strip only when followed by whitespace/terminal punct, so
-    # mid-sentence references ("don't @Bot again") stay intact.
-    # Leading word-boundary prevents @Al from eating @Alice.
-    if not text:
-        return text
-    self_names = [
-        f"@{ref.name or ref.open_id or 'user'}"
-        for ref in mentions
-        if ref.is_self
-    ]
-    if not self_names:
-        return text
-
-    remaining = text.lstrip()
-    while True:
-        for nm in self_names:
-            if not remaining.startswith(nm):
-                continue
-            after = remaining[len(nm):]
-            if after and after[0] not in _MENTION_BOUNDARY_CHARS:
-                continue
-            remaining = after.lstrip()
-            break
-        else:
-            break
-
-    while True:
-        i = len(remaining)
-        while i > 0 and remaining[i - 1] in _TRAILING_TERMINAL_PUNCT:
-            i -= 1
-        body = remaining[:i]
-        tail = remaining[i:]
-        for nm in self_names:
-            if body.endswith(nm):
-                remaining = body[: -len(nm)].rstrip() + tail
-                break
-        else:
-            return remaining
-
-
 def _run_official_feishu_ws_client(ws_client: Any, adapter: Any) -> None:
     """Run the official Lark WS client in its own thread-local event loop."""
     import lark_oapi.ws.client as ws_client_module
@@ -1700,7 +1491,6 @@ class FeishuAdapter(BasePlatformAdapter):
         if not self._client:
             return SendResult(success=False, error="Not connected")
 
-        content = self.format_message(content)
         try:
             msg_type, payload = self._build_outbound_payload(content)
             body = self._build_update_message_body(msg_type=msg_type, content=payload)
@@ -2680,22 +2470,13 @@ class FeishuAdapter(BasePlatformAdapter):
         chat_type: str,
         message_id: str,
     ) -> None:
-        text, inbound_type, media_urls, media_types, mentions = await self._extract_message_content(message)
-
-        if inbound_type == MessageType.TEXT:
-            text = _strip_edge_self_mentions(text, mentions)
-            if text.startswith("/"):
-                inbound_type = MessageType.COMMAND
-
-        # Guard runs post-strip so a pure "@Bot" message (stripped to "") is dropped.
+        text, inbound_type, media_urls, media_types = await self._extract_message_content(message)
         if inbound_type == MessageType.TEXT and not text and not media_urls:
-            logger.debug("[Feishu] Ignoring empty text message id=%s", message_id)
+            logger.debug("[Feishu] Ignoring unsupported or empty message type: %s", getattr(message, "message_type", ""))
             return
 
-        if inbound_type != MessageType.COMMAND:
-            hint = _build_mention_hint(mentions)
-            if hint:
-                text = f"{hint}\n\n{text}" if text else hint
+        if inbound_type == MessageType.TEXT and text.startswith("/"):
+            inbound_type = MessageType.COMMAND
 
         reply_to_message_id = (
             getattr(message, "parent_id", None)
@@ -3154,20 +2935,14 @@ class FeishuAdapter(BasePlatformAdapter):
     # Message content extraction and resource download
     # =========================================================================
 
-    async def _extract_message_content(
-        self, message: Any
-    ) -> tuple[str, MessageType, List[str], List[str], List[FeishuMentionRef]]:
+    async def _extract_message_content(self, message: Any) -> tuple[str, MessageType, List[str], List[str]]:
+        """Extract text and cached media from a normalized Feishu message."""
         raw_content = getattr(message, "content", "") or ""
         raw_type = getattr(message, "message_type", "") or ""
         message_id = str(getattr(message, "message_id", "") or "")
         logger.info("[Feishu] Received raw message type=%s message_id=%s", raw_type, message_id)
 
-        normalized = normalize_feishu_message(
-            message_type=raw_type,
-            raw_content=raw_content,
-            mentions=getattr(message, "mentions", None),
-            bot=self._bot_identity(),
-        )
+        normalized = normalize_feishu_message(message_type=raw_type, raw_content=raw_content)
         media_urls, media_types = await self._download_feishu_message_resources(
             message_id=message_id,
             normalized=normalized,
@@ -3184,7 +2959,7 @@ class FeishuAdapter(BasePlatformAdapter):
             if injected:
                 text = injected
 
-        return text, inbound_type, media_urls, media_types, list(normalized.mentions)
+        return text, inbound_type, media_urls, media_types
 
     async def _download_feishu_message_resources(
         self,
@@ -3448,22 +3223,10 @@ class FeishuAdapter(BasePlatformAdapter):
         return "group"
 
     async def _resolve_sender_profile(self, sender_id: Any) -> Dict[str, Optional[str]]:
-        """Map Feishu's three-tier user IDs onto Hermes' SessionSource fields.
-
-        Preference order for the primary ``user_id`` field:
-          1. user_id  (tenant-scoped, most stable — requires permission scope)
-          2. open_id  (app-scoped, always available — different per bot app)
-
-        ``user_id_alt`` carries the union_id (developer-scoped, stable across
-        all apps by the same developer).  Session-key generation prefers
-        user_id_alt when present, so participant isolation stays stable even
-        if the primary ID is the app-scoped open_id.
-        """
         open_id = getattr(sender_id, "open_id", None) or None
         user_id = getattr(sender_id, "user_id", None) or None
         union_id = getattr(sender_id, "union_id", None) or None
-        # Prefer tenant-scoped user_id; fall back to app-scoped open_id.
-        primary_id = user_id or open_id
+        primary_id = open_id or user_id
         display_name = await self._resolve_sender_name_from_api(primary_id or union_id)
         return {
             "user_id": primary_id,
@@ -3545,31 +3308,15 @@ class FeishuAdapter(BasePlatformAdapter):
             body = getattr(parent, "body", None)
             msg_type = getattr(parent, "msg_type", "") or ""
             raw_content = getattr(body, "content", "") or ""
-            parent_mentions = getattr(parent, "mentions", None) if parent else None
-            text = self._extract_text_from_raw_content(
-                msg_type=msg_type,
-                raw_content=raw_content,
-                mentions=parent_mentions,
-            )
+            text = self._extract_text_from_raw_content(msg_type=msg_type, raw_content=raw_content)
             self._message_text_cache[message_id] = text
             return text
         except Exception:
             logger.warning("[Feishu] Failed to fetch parent message %s", message_id, exc_info=True)
             return None
 
-    def _extract_text_from_raw_content(
-        self,
-        *,
-        msg_type: str,
-        raw_content: str,
-        mentions: Optional[Sequence[Any]] = None,
-    ) -> Optional[str]:
-        normalized = normalize_feishu_message(
-            message_type=msg_type,
-            raw_content=raw_content,
-            mentions=mentions,
-            bot=self._bot_identity(),
-        )
+    def _extract_text_from_raw_content(self, *, msg_type: str, raw_content: str) -> Optional[str]:
+        normalized = normalize_feishu_message(message_type=msg_type, raw_content=raw_content)
         if normalized.text_content:
             return normalized.text_content
         placeholder = normalized.metadata.get("placeholder_text") if isinstance(normalized.metadata, dict) else None
@@ -3639,10 +3386,10 @@ class FeishuAdapter(BasePlatformAdapter):
         normalized = normalize_feishu_message(
             message_type=getattr(message, "message_type", "") or "",
             raw_content=raw_content,
-            mentions=getattr(message, "mentions", None),
-            bot=self._bot_identity(),
         )
-        return self._post_mentions_bot(normalized.mentions)
+        if normalized.mentioned_ids:
+            return self._post_mentions_bot(normalized.mentioned_ids)
+        return False
 
     def _is_self_sent_bot_message(self, event: Any) -> bool:
         """Return True only for Feishu events emitted by this Hermes bot."""
@@ -3662,37 +3409,30 @@ class FeishuAdapter(BasePlatformAdapter):
         return False
 
     def _message_mentions_bot(self, mentions: List[Any]) -> bool:
-        # IDs trump names: when both sides have open_id (or both user_id),
-        # match requires equal IDs. Name fallback only when either side
-        # lacks an ID.
+        """Check whether any mention targets the configured or inferred bot identity."""
         for mention in mentions:
             mention_id = getattr(mention, "id", None)
-            mention_open_id = (getattr(mention_id, "open_id", None) or "").strip()
-            mention_user_id = (getattr(mention_id, "user_id", None) or "").strip()
+            mention_open_id = getattr(mention_id, "open_id", None)
+            mention_user_id = getattr(mention_id, "user_id", None)
             mention_name = (getattr(mention, "name", None) or "").strip()
 
-            if mention_open_id and self._bot_open_id:
-                if mention_open_id == self._bot_open_id:
-                    return True
-                continue  # IDs differ — not the bot; skip name fallback.
-            if mention_user_id and self._bot_user_id:
-                if mention_user_id == self._bot_user_id:
-                    return True
-                continue
+            if self._bot_open_id and mention_open_id == self._bot_open_id:
+                return True
+            if self._bot_user_id and mention_user_id == self._bot_user_id:
+                return True
             if self._bot_name and mention_name == self._bot_name:
                 return True
 
         return False
 
-    def _post_mentions_bot(self, mentions: List[FeishuMentionRef]) -> bool:
-        return any(m.is_self for m in mentions)
-
-    def _bot_identity(self) -> _FeishuBotIdentity:
-        return _FeishuBotIdentity(
-            open_id=self._bot_open_id,
-            user_id=self._bot_user_id,
-            name=self._bot_name,
-        )
+    def _post_mentions_bot(self, mentioned_ids: List[str]) -> bool:
+        if not mentioned_ids:
+            return False
+        if self._bot_open_id and self._bot_open_id in mentioned_ids:
+            return True
+        if self._bot_user_id and self._bot_user_id in mentioned_ids:
+            return True
+        return False
 
     async def _hydrate_bot_identity(self) -> None:
         """Best-effort discovery of bot identity for precise group mention gating
@@ -3717,15 +3457,14 @@ class FeishuAdapter(BasePlatformAdapter):
         # uses via probe_bot().
         if not self._bot_open_id or not self._bot_name:
             try:
-                req = (
-                    BaseRequest.builder()
-                    .http_method(HttpMethod.GET)
-                    .uri("/open-apis/bot/v3/info")
-                    .token_types({AccessTokenType.TENANT})
-                    .build()
+                resp = await asyncio.to_thread(
+                    self._client.request,
+                    method="GET",
+                    url="/open-apis/bot/v3/info",
+                    body=None,
+                    raw_response=True,
                 )
-                resp = await asyncio.to_thread(self._client.request, req)
-                content = getattr(getattr(resp, "raw", None), "content", None)
+                content = getattr(resp, "content", None)
                 if content:
                     payload = json.loads(content)
                     parsed = _parse_bot_response(payload) or {}
@@ -4473,9 +4212,6 @@ def probe_bot(app_id: str, app_secret: str, domain: str) -> Optional[dict]:
 
     Uses lark_oapi SDK when available, falls back to raw HTTP otherwise.
     Returns {"bot_name": ..., "bot_open_id": ...} on success, None on failure.
-
-    Note: ``bot_open_id`` here is the bot's app-scoped open_id — the same ID
-    that Feishu puts in @mention payloads.  It is NOT the app_id.
     """
     if FEISHU_AVAILABLE:
         return _probe_bot_sdk(app_id, app_secret, domain)
@@ -4496,12 +4232,12 @@ def _build_onboard_client(app_id: str, app_secret: str, domain: str) -> Any:
 
 
 def _parse_bot_response(data: dict) -> Optional[dict]:
-    # /bot/v3/info returns bot.app_name; legacy paths used bot_name — accept both.
+    """Extract bot_name and bot_open_id from a /bot/v3/info response."""
     if data.get("code") != 0:
         return None
     bot = data.get("bot") or data.get("data", {}).get("bot") or {}
     return {
-        "bot_name": bot.get("app_name") or bot.get("bot_name"),
+        "bot_name": bot.get("bot_name"),
         "bot_open_id": bot.get("open_id"),
     }
 
@@ -4510,18 +4246,13 @@ def _probe_bot_sdk(app_id: str, app_secret: str, domain: str) -> Optional[dict]:
     """Probe bot info using lark_oapi SDK."""
     try:
         client = _build_onboard_client(app_id, app_secret, domain)
-        req = (
-            BaseRequest.builder()
-            .http_method(HttpMethod.GET)
-            .uri("/open-apis/bot/v3/info")
-            .token_types({AccessTokenType.TENANT})
-            .build()
+        resp = client.request(
+            method="GET",
+            url="/open-apis/bot/v3/info",
+            body=None,
+            raw_response=True,
         )
-        resp = client.request(req)
-        content = getattr(getattr(resp, "raw", None), "content", None)
-        if content is None:
-            return None
-        return _parse_bot_response(json.loads(content))
+        return _parse_bot_response(json.loads(resp.content))
     except Exception as exc:
         logger.debug("[Feishu onboard] SDK probe failed: %s", exc)
         return None

gateway/platforms/helpers.py

@@ -57,15 +57,6 @@ class MessageDeduplicator:
         if len(self._seen) > self._max_size:
             cutoff = now - self._ttl
             self._seen = {k: v for k, v in self._seen.items() if v > cutoff}
-            if len(self._seen) > self._max_size:
-                # TTL pruning alone does not cap the cache when every entry is
-                # still fresh. Keep the newest entries so the helper's
-                # max_size bound is enforced under sustained traffic.
-                newest = sorted(
-                    self._seen.items(),
-                    key=lambda item: item[1],
-                )[-self._max_size:]
-                self._seen = dict(newest)
         return False
 
     def clear(self):

gateway/platforms/matrix.py

@@ -532,20 +532,6 @@ class MatrixAdapter(BasePlatformAdapter):
                 )
                 await crypto_store.open()
 
-                # Bind the store to the runtime device_id before any
-                # put_account() runs. PgCryptoStore defaults _device_id
-                # to "" and its crypto_account UPSERT never updates the
-                # device_id column on conflict — so once put_account
-                # writes blank, it stays blank forever. That breaks
-                # every downstream device-scoped olm operation: peer
-                # to-device ciphertext can't find our identity key and
-                # no megolm sessions ever land. Setting _device_id here
-                # (in-memory; the on-disk row may not exist yet) makes
-                # the first put_account write the correct value.
-                # DeviceID is a NewType(str) so plain str works at runtime.
-                if client.device_id:
-                    await crypto_store.put_device_id(client.device_id)
-
                 crypto_state = _CryptoStateStore(state_store, self._joined_rooms)
                 olm = OlmMachine(client, crypto_store, crypto_state)
 

gateway/platforms/qqbot/__init__.py

@@ -26,8 +26,9 @@ from .adapter import (  # noqa: F401
 # -- Onboard (QR-code scan-to-configure) -----------------------------------
 from .onboard import (  # noqa: F401
     BindStatus,
+    create_bind_task,
+    poll_bind_result,
     build_connect_url,
-    qr_register,
 )
 from .crypto import decrypt_secret, generate_bind_key  # noqa: F401
 
@@ -43,8 +44,9 @@ __all__ = [
     "_ssrf_redirect_guard",
     # onboard
     "BindStatus",
+    "create_bind_task",
+    "poll_bind_result",
     "build_connect_url",
-    "qr_register",
     # crypto
     "decrypt_secret",
     "generate_bind_key",

gateway/platforms/qqbot/adapter.py

@@ -535,9 +535,6 @@ class QQAdapter(BasePlatformAdapter):
                     quick_disconnect_count = 0
                 else:
                     backoff_idx += 1
-                    if backoff_idx >= MAX_RECONNECT_ATTEMPTS:
-                        logger.error("[%s] Max reconnect attempts reached (QQCloseError)", self._log_tag)
-                        return
 
             except Exception as exc:
                 if not self._running:

gateway/platforms/qqbot/onboard.py

@@ -1,10 +1,6 @@
 """
 QQBot scan-to-configure (QR code onboard) module.
 
-Mirrors the Feishu onboarding pattern: synchronous HTTP + a single public
-entry-point ``qr_register()`` that handles the full flow (create task →
-display QR code → poll → decrypt credentials).
-
 Calls the ``q.qq.com`` ``create_bind_task`` / ``poll_bind_result`` APIs to
 generate a QR-code URL and poll for scan completion.  On success the caller
 receives the bot's *app_id*, *client_secret* (decrypted locally), and the
@@ -16,20 +12,18 @@ Reference: https://bot.q.qq.com/wiki/develop/api-v2/
 from __future__ import annotations
 
 import logging
-import time
 from enum import IntEnum
-from typing import Optional, Tuple
+from typing import Tuple
 from urllib.parse import quote
 
 from .constants import (
     ONBOARD_API_TIMEOUT,
     ONBOARD_CREATE_PATH,
-    ONBOARD_POLL_INTERVAL,
     ONBOARD_POLL_PATH,
     PORTAL_HOST,
     QR_URL_TEMPLATE,
 )
-from .crypto import decrypt_secret, generate_bind_key
+from .crypto import generate_bind_key
 from .utils import get_api_headers
 
 logger = logging.getLogger(__name__)
@@ -41,7 +35,7 @@ logger = logging.getLogger(__name__)
 
 
 class BindStatus(IntEnum):
-    """Status codes returned by ``_poll_bind_result``."""
+    """Status codes returned by ``poll_bind_result``."""
 
     NONE = 0
     PENDING = 1
@@ -50,40 +44,18 @@ class BindStatus(IntEnum):
 
 
 # ---------------------------------------------------------------------------
-# QR rendering
-# ---------------------------------------------------------------------------
-
-try:
-    import qrcode as _qrcode_mod
-except (ImportError, TypeError):
-    _qrcode_mod = None  # type: ignore[assignment]
-
-
-def _render_qr(url: str) -> bool:
-    """Try to render a QR code in the terminal. Returns True if successful."""
-    if _qrcode_mod is None:
-        return False
-    try:
-        qr = _qrcode_mod.QRCode(
-            error_correction=_qrcode_mod.constants.ERROR_CORRECT_M,
-            border=2,
-        )
-        qr.add_data(url)
-        qr.make(fit=True)
-        qr.print_ascii(invert=True)
-        return True
-    except Exception:
-        return False
-
-
-# ---------------------------------------------------------------------------
-# Synchronous HTTP helpers (mirrors Feishu _post_registration pattern)
+# Public API
 # ---------------------------------------------------------------------------
 
 
-def _create_bind_task(timeout: float = ONBOARD_API_TIMEOUT) -> Tuple[str, str]:
+async def create_bind_task(
+    timeout: float = ONBOARD_API_TIMEOUT,
+) -> Tuple[str, str]:
     """Create a bind task and return *(task_id, aes_key_base64)*.
 
+    The AES key is generated locally and sent to the server so it can
+    encrypt the bot credentials before returning them.
+
     Raises:
         RuntimeError: If the API returns a non-zero ``retcode``.
     """
@@ -92,8 +64,8 @@ def _create_bind_task(timeout: float = ONBOARD_API_TIMEOUT) -> Tuple[str, str]:
     url = f"https://{PORTAL_HOST}{ONBOARD_CREATE_PATH}"
     key = generate_bind_key()
 
-    with httpx.Client(timeout=timeout, follow_redirects=True) as client:
-        resp = client.post(url, json={"key": key}, headers=get_api_headers())
+    async with httpx.AsyncClient(timeout=timeout, follow_redirects=True) as client:
+        resp = await client.post(url, json={"key": key}, headers=get_api_headers())
         resp.raise_for_status()
         data = resp.json()
 
@@ -108,7 +80,7 @@ def _create_bind_task(timeout: float = ONBOARD_API_TIMEOUT) -> Tuple[str, str]:
     return task_id, key
 
 
-def _poll_bind_result(
+async def poll_bind_result(
     task_id: str,
     timeout: float = ONBOARD_API_TIMEOUT,
 ) -> Tuple[BindStatus, str, str, str]:
@@ -117,6 +89,12 @@ def _poll_bind_result(
     Returns:
         A 4-tuple of ``(status, bot_appid, bot_encrypt_secret, user_openid)``.
 
+        * ``bot_encrypt_secret`` is AES-256-GCM encrypted — decrypt it with
+          :func:`~gateway.platforms.qqbot.crypto.decrypt_secret` using the
+          key from :func:`create_bind_task`.
+        * ``user_openid`` is the OpenID of the person who scanned the code
+          (available when ``status == COMPLETED``).
+
     Raises:
         RuntimeError: If the API returns a non-zero ``retcode``.
     """
@@ -124,8 +102,8 @@ def _poll_bind_result(
 
     url = f"https://{PORTAL_HOST}{ONBOARD_POLL_PATH}"
 
-    with httpx.Client(timeout=timeout, follow_redirects=True) as client:
-        resp = client.post(url, json={"task_id": task_id}, headers=get_api_headers())
+    async with httpx.AsyncClient(timeout=timeout, follow_redirects=True) as client:
+        resp = await client.post(url, json={"task_id": task_id}, headers=get_api_headers())
         resp.raise_for_status()
         data = resp.json()
 
@@ -144,77 +122,3 @@ def _poll_bind_result(
 def build_connect_url(task_id: str) -> str:
     """Build the QR-code target URL for a given *task_id*."""
     return QR_URL_TEMPLATE.format(task_id=quote(task_id))
-
-
-# ---------------------------------------------------------------------------
-# Public entry-point
-# ---------------------------------------------------------------------------
-
-_MAX_REFRESHES = 3
-
-
-def qr_register(timeout_seconds: int = 600) -> Optional[dict]:
-    """Run the QQBot scan-to-configure QR registration flow.
-
-    Mirrors ``feishu.qr_register()``: handles create → display → poll →
-    decrypt in one call.  Unexpected errors propagate to the caller.
-
-    :returns:
-        ``{"app_id": ..., "client_secret": ..., "user_openid": ...}`` on
-        success, or ``None`` on failure / expiry / cancellation.
-    """
-    deadline = time.monotonic() + timeout_seconds
-
-    for refresh_count in range(_MAX_REFRESHES + 1):
-        # ── Create bind task ──
-        try:
-            task_id, aes_key = _create_bind_task()
-        except Exception as exc:
-            logger.warning("[QQBot onboard] Failed to create bind task: %s", exc)
-            return None
-
-        url = build_connect_url(task_id)
-
-        # ── Display QR code + URL ──
-        print()
-        if _render_qr(url):
-            print(f"  Scan the QR code above, or open this URL directly:\n  {url}")
-        else:
-            print(f"  Open this URL in QQ on your phone:\n  {url}")
-            print("  Tip: pip install qrcode  to display a scannable QR code here")
-        print()
-
-        # ── Poll loop ──
-        while time.monotonic() < deadline:
-            try:
-                status, app_id, encrypted_secret, user_openid = _poll_bind_result(task_id)
-            except Exception:
-                time.sleep(ONBOARD_POLL_INTERVAL)
-                continue
-
-            if status == BindStatus.COMPLETED:
-                client_secret = decrypt_secret(encrypted_secret, aes_key)
-                print()
-                print(f"  QR scan complete! (App ID: {app_id})")
-                if user_openid:
-                    print(f"  Scanner's OpenID: {user_openid}")
-                return {
-                    "app_id": app_id,
-                    "client_secret": client_secret,
-                    "user_openid": user_openid,
-                }
-
-            if status == BindStatus.EXPIRED:
-                if refresh_count >= _MAX_REFRESHES:
-                    logger.warning("[QQBot onboard] QR code expired %d times — giving up", _MAX_REFRESHES)
-                    return None
-                print(f"\n  QR code expired, refreshing... ({refresh_count + 1}/{_MAX_REFRESHES})")
-                break  # next for-loop iteration creates a new task
-
-            time.sleep(ONBOARD_POLL_INTERVAL)
-        else:
-            # deadline reached without completing
-            logger.warning("[QQBot onboard] Poll timed out after %ds", timeout_seconds)
-            return None
-
-    return None

gateway/platforms/telegram.py

@@ -703,6 +703,7 @@ class TelegramAdapter(BasePlatformAdapter):
                 "write_timeout": _env_float("HERMES_TELEGRAM_HTTP_WRITE_TIMEOUT", 20.0),
             }
 
+            proxy_url = resolve_proxy_url("TELEGRAM_PROXY")
             disable_fallback = (os.getenv("HERMES_TELEGRAM_DISABLE_FALLBACK_IPS", "").strip().lower() in ("1", "true", "yes", "on"))
             fallback_ips = self._fallback_ips()
             if not fallback_ips:
@@ -713,8 +714,6 @@ class TelegramAdapter(BasePlatformAdapter):
                     ", ".join(fallback_ips),
                 )
 
-            proxy_targets = ["api.telegram.org", *fallback_ips]
-            proxy_url = resolve_proxy_url("TELEGRAM_PROXY", target_hosts=proxy_targets)
             if fallback_ips and not proxy_url and not disable_fallback:
                 logger.info(
                     "[%s] Telegram fallback IPs active: %s",
@@ -1209,31 +1208,6 @@ class TelegramAdapter(BasePlatformAdapter):
             )
             return SendResult(success=False, error=str(e))
 
-    async def delete_message(self, chat_id: str, message_id: str) -> bool:
-        """Delete a previously sent Telegram message.
-
-        Used by the stream consumer's fresh-final cleanup path (ported
-        from openclaw/openclaw#72038) to remove long-lived preview
-        messages after sending the completed reply as a fresh message.
-        Telegram's Bot API ``deleteMessage`` works for bot-posted
-        messages in the last 48 hours.  Failures are non-fatal — the
-        caller leaves the preview in place and logs at debug level.
-        """
-        if not self._bot:
-            return False
-        try:
-            await self._bot.delete_message(
-                chat_id=int(chat_id),
-                message_id=int(message_id),
-            )
-            return True
-        except Exception as e:
-            logger.debug(
-                "[%s] Failed to delete Telegram message %s: %s",
-                self.name, message_id, e,
-            )
-            return False
-
     async def send_update_prompt(
         self, chat_id: str, prompt: str, default: str = "",
         session_key: str = "",

gateway/platforms/telegram_network.py

@@ -43,10 +43,10 @@ _DOH_PROVIDERS: list[dict] = [
 _SEED_FALLBACK_IPS: list[str] = ["149.154.167.220"]
 
 
-def _resolve_proxy_url(target_hosts=None) -> str | None:
+def _resolve_proxy_url() -> str | None:
     # Delegate to shared implementation (env vars + macOS system proxy detection)
     from gateway.platforms.base import resolve_proxy_url
-    return resolve_proxy_url("TELEGRAM_PROXY", target_hosts=target_hosts)
+    return resolve_proxy_url("TELEGRAM_PROXY")
 
 
 class TelegramFallbackTransport(httpx.AsyncBaseTransport):
@@ -60,7 +60,7 @@ class TelegramFallbackTransport(httpx.AsyncBaseTransport):
 
     def __init__(self, fallback_ips: Iterable[str], **transport_kwargs):
         self._fallback_ips = [ip for ip in dict.fromkeys(_normalize_fallback_ips(fallback_ips))]
-        proxy_url = _resolve_proxy_url(target_hosts=[_TELEGRAM_API_HOST, *self._fallback_ips])
+        proxy_url = _resolve_proxy_url()
         if proxy_url and "proxy" not in transport_kwargs:
             transport_kwargs["proxy"] = proxy_url
         self._primary = httpx.AsyncHTTPTransport(**transport_kwargs)

gateway/platforms/wecom.py

@@ -508,11 +508,6 @@ class WeComAdapter(BasePlatformAdapter):
         self._remember_chat_req_id(chat_id, self._payload_req_id(payload))
 
         text, reply_text = self._extract_text(body)
-        # Strip leading @mention in group chats so slash commands like
-        # "@BotName /approve" are correctly recognized as "/approve".
-        # Mirrors what the Telegram adapter does (re.sub @botname).
-        if is_group and text:
-            text = re.sub(r"^@\S+\s*", "", text).strip()
         media_urls, media_types = await self._extract_media(body)
         message_type = self._derive_message_type(body, text, media_types)
         has_reply_context = bool(reply_text and (text or media_urls))
@@ -1469,134 +1464,3 @@ class WeComAdapter(BasePlatformAdapter):
             "name": chat_id,
             "type": "group" if chat_id and chat_id.lower().startswith("group") else "dm",
         }
-
-
-# ------------------------------------------------------------------
-# QR code scan flow for obtaining bot credentials
-# ------------------------------------------------------------------
-
-_QR_GENERATE_URL = "https://work.weixin.qq.com/ai/qc/generate"
-_QR_QUERY_URL = "https://work.weixin.qq.com/ai/qc/query_result"
-_QR_CODE_PAGE = "https://work.weixin.qq.com/ai/qc/gen?source=hermes&scode="
-_QR_POLL_INTERVAL = 3  # seconds
-_QR_POLL_TIMEOUT = 300  # 5 minutes
-
-
-def qr_scan_for_bot_info(
-    *,
-    timeout_seconds: int = _QR_POLL_TIMEOUT,
-) -> Optional[Dict[str, str]]:
-    """Run the WeCom QR scan flow to obtain bot_id and secret.
-
-    Fetches a QR code from WeCom, renders it in the terminal, and polls
-    until the user scans it or the timeout expires.
-
-    Returns ``{"bot_id": ..., "secret": ...}`` on success, ``None`` on
-    failure or timeout.
-
-    Note: the ``work.weixin.qq.com/ai/qc/{generate,query_result}`` endpoints
-    used here are not part of WeCom's public developer API — they back the
-    admin-console web UI's bot-creation flow and may change without notice.
-    The same pattern is used by the feishu/dingtalk QR setup wizards.
-    """
-    try:
-        import urllib.request
-        import urllib.parse
-    except ImportError:  # pragma: no cover
-        logger.error("urllib is required for WeCom QR scan")
-        return None
-
-    generate_url = f"{_QR_GENERATE_URL}?source=hermes"
-
-    # ── Step 1: Fetch QR code ──
-    print("  Connecting to WeCom...", end="", flush=True)
-    try:
-        req = urllib.request.Request(generate_url, headers={"User-Agent": "HermesAgent/1.0"})
-        with urllib.request.urlopen(req, timeout=15) as resp:
-            raw = json.loads(resp.read().decode("utf-8"))
-    except Exception as exc:
-        logger.error("WeCom QR: failed to fetch QR code: %s", exc)
-        print(f" failed: {exc}")
-        return None
-
-    data = raw.get("data") or {}
-    scode = str(data.get("scode") or "").strip()
-    auth_url = str(data.get("auth_url") or "").strip()
-
-    if not scode or not auth_url:
-        logger.error("WeCom QR: unexpected response format: %s", raw)
-        print(" failed: unexpected response format")
-        return None
-
-    print(" done.")
-
-    # ── Step 2: Render QR code in terminal ──
-    print()
-    qr_rendered = False
-    try:
-        import qrcode as _qrcode
-        qr = _qrcode.QRCode()
-        qr.add_data(auth_url)
-        qr.make(fit=True)
-        qr.print_ascii(invert=True)
-        qr_rendered = True
-    except ImportError:
-        pass
-    except Exception:
-        pass
-
-    page_url = f"{_QR_CODE_PAGE}{urllib.parse.quote(scode)}"
-    if qr_rendered:
-        print(f"\n  Scan the QR code above, or open this URL directly:\n  {page_url}")
-    else:
-        print(f"  Open this URL in WeCom on your phone:\n\n  {page_url}\n")
-        print("  Tip: pip install qrcode  to display a scannable QR code here next time")
-    print()
-    print("  Fetching configuration results...", end="", flush=True)
-
-    # ── Step 3: Poll for result ──
-    import time
-    deadline = time.time() + timeout_seconds
-    query_url = f"{_QR_QUERY_URL}?scode={urllib.parse.quote(scode)}"
-    poll_count = 0
-
-    while time.time() < deadline:
-        try:
-            req = urllib.request.Request(query_url, headers={"User-Agent": "HermesAgent/1.0"})
-            with urllib.request.urlopen(req, timeout=10) as resp:
-                result = json.loads(resp.read().decode("utf-8"))
-        except Exception as exc:
-            logger.debug("WeCom QR poll error: %s", exc)
-            time.sleep(_QR_POLL_INTERVAL)
-            continue
-
-        poll_count += 1
-        # Print a dot on every poll so progress is visible within 3s.
-        print(".", end="", flush=True)
-
-        result_data = result.get("data") or {}
-        status = str(result_data.get("status") or "").lower()
-
-        if status == "success":
-            print()  # newline after "Fetching configuration results..." dots
-            bot_info = result_data.get("bot_info") or {}
-            bot_id = str(bot_info.get("botid") or bot_info.get("bot_id") or "").strip()
-            secret = str(bot_info.get("secret") or "").strip()
-            if bot_id and secret:
-                return {"bot_id": bot_id, "secret": secret}
-            logger.warning(
-                "WeCom QR: scan reported success but bot_info missing or incomplete: %s",
-                result_data,
-            )
-            print(
-                "  QR scan reported success but no bot credentials were returned.\n"
-                "  This usually means the bot was not actually created on the WeCom side.\n"
-                "  Falling back to manual credential entry."
-            )
-            return None
-
-        time.sleep(_QR_POLL_INTERVAL)
-
-    print()  # newline after dots
-    print(f"  QR scan timed out ({timeout_seconds // 60} minutes). Please try again.")
-    return None

gateway/platforms/yuanbao_media.py

@@ -1,647 +0,0 @@
-"""
-yuanbao_media.py — 元宝平台媒体处理模块
-
-提供 COS 上传、文件下载、TIM 媒体消息构建等功能。
-移植自 TypeScript 版 media.ts（yuanbao-openclaw-plugin），
-使用 httpx 替代 cos-nodejs-sdk-v5，避免引入额外 SDK 依赖。
-
-COS 上传流程：
-  1. 调用 genUploadInfo 获取临时凭证（tmpSecretId/tmpSecretKey/sessionToken）
-  2. 用临时凭证通过 HMAC-SHA1 签名构建 Authorization 头
-  3. HTTP PUT 上传到 COS
-
-TIM 消息体构建：
-  - buildImageMsgBody() → TIMImageElem
-  - buildFileMsgBody()  → TIMFileElem
-"""
-
-from __future__ import annotations
-
-import hashlib
-import hmac
-import logging
-import os
-import re
-import secrets
-import struct
-import time
-import urllib.parse
-from datetime import datetime, timezone, timedelta
-from typing import Optional, Any
-
-import httpx
-
-logger = logging.getLogger(__name__)
-
-# ============ 常量 ============
-
-UPLOAD_INFO_PATH = "/api/resource/genUploadInfo"
-DEFAULT_API_DOMAIN = "yuanbao.tencent.com"
-DEFAULT_MAX_SIZE_MB = 50
-
-# COS 加速域名后缀（优先使用全球加速）
-COS_USE_ACCELERATE = True
-
-# ============ 类型映射 ============
-
-# MIME → image_format 数字（TIM 协议字段）
-_MIME_TO_IMAGE_FORMAT: dict[str, int] = {
-    "image/jpeg": 1,
-    "image/jpg": 1,
-    "image/gif": 2,
-    "image/png": 3,
-    "image/bmp": 4,
-    "image/webp": 255,
-    "image/heic": 255,
-    "image/tiff": 255,
-}
-
-# 文件扩展名 → MIME
-_EXT_TO_MIME: dict[str, str] = {
-    ".jpg": "image/jpeg",
-    ".jpeg": "image/jpeg",
-    ".png": "image/png",
-    ".gif": "image/gif",
-    ".webp": "image/webp",
-    ".bmp": "image/bmp",
-    ".heic": "image/heic",
-    ".tiff": "image/tiff",
-    ".ico": "image/x-icon",
-    ".pdf": "application/pdf",
-    ".doc": "application/msword",
-    ".docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
-    ".xls": "application/vnd.ms-excel",
-    ".xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
-    ".ppt": "application/vnd.ms-powerpoint",
-    ".pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
-    ".txt": "text/plain",
-    ".zip": "application/zip",
-    ".tar": "application/x-tar",
-    ".gz": "application/gzip",
-    ".mp3": "audio/mpeg",
-    ".mp4": "video/mp4",
-    ".wav": "audio/wav",
-    ".ogg": "audio/ogg",
-    ".webm": "video/webm",
-}
-
-
-# ============ 工具函数 ============
-
-def guess_mime_type(filename: str) -> str:
-    """根据文件扩展名猜测 MIME 类型。"""
-    ext = os.path.splitext(filename)[-1].lower()
-    return _EXT_TO_MIME.get(ext, "application/octet-stream")
-
-
-def is_image(filename: str, mime_type: str = "") -> bool:
-    """判断是否为图片类型。"""
-    if mime_type.startswith("image/"):
-        return True
-    ext = os.path.splitext(filename)[-1].lower()
-    return ext in {".jpg", ".jpeg", ".png", ".gif", ".webp", ".bmp", ".heic", ".tiff", ".ico"}
-
-
-def get_image_format(mime_type: str) -> int:
-    """获取 TIM 图片格式编号。"""
-    return _MIME_TO_IMAGE_FORMAT.get(mime_type.lower(), 255)
-
-
-def md5_hex(data: bytes) -> str:
-    """计算 MD5 十六进制摘要。"""
-    return hashlib.md5(data).hexdigest()
-
-
-def generate_file_id() -> str:
-    """生成随机文件 ID（32 位 hex）。"""
-    return secrets.token_hex(16)
-
-
-
-# ============ 图片尺寸解析（纯 Python，无需 Pillow） ============
-
-def parse_image_size(data: bytes) -> Optional[dict[str, int]]:
-    """
-    解析图片宽高（支持 JPEG/PNG/GIF/WebP），无需第三方依赖。
-    返回 {"width": w, "height": h} 或 None（无法识别）。
-    """
-    return (
-        _parse_png_size(data)
-        or _parse_jpeg_size(data)
-        or _parse_gif_size(data)
-        or _parse_webp_size(data)
-    )
-
-
-def _parse_png_size(buf: bytes) -> Optional[dict[str, int]]:
-    if len(buf) < 24:
-        return None
-    if buf[:4] != b"\x89PNG":
-        return None
-    w = struct.unpack(">I", buf[16:20])[0]
-    h = struct.unpack(">I", buf[20:24])[0]
-    return {"width": w, "height": h}
-
-
-def _parse_jpeg_size(buf: bytes) -> Optional[dict[str, int]]:
-    if len(buf) < 4 or buf[0] != 0xFF or buf[1] != 0xD8:
-        return None
-    i = 2
-    while i < len(buf) - 9:
-        if buf[i] != 0xFF:
-            i += 1
-            continue
-        marker = buf[i + 1]
-        if marker in (0xC0, 0xC2):
-            h = struct.unpack(">H", buf[i + 5: i + 7])[0]
-            w = struct.unpack(">H", buf[i + 7: i + 9])[0]
-            return {"width": w, "height": h}
-        if i + 3 < len(buf):
-            i += 2 + struct.unpack(">H", buf[i + 2: i + 4])[0]
-        else:
-            break
-    return None
-
-
-def _parse_gif_size(buf: bytes) -> Optional[dict[str, int]]:
-    if len(buf) < 10:
-        return None
-    sig = buf[:6].decode("ascii", errors="replace")
-    if sig not in ("GIF87a", "GIF89a"):
-        return None
-    w = struct.unpack("<H", buf[6:8])[0]
-    h = struct.unpack("<H", buf[8:10])[0]
-    return {"width": w, "height": h}
-
-
-def _parse_webp_size(buf: bytes) -> Optional[dict[str, int]]:
-    if len(buf) < 16:
-        return None
-    if buf[:4] != b"RIFF" or buf[8:12] != b"WEBP":
-        return None
-    chunk = buf[12:16].decode("ascii", errors="replace")
-    if chunk == "VP8 ":
-        if len(buf) >= 30 and buf[23] == 0x9D and buf[24] == 0x01 and buf[25] == 0x2A:
-            w = struct.unpack("<H", buf[26:28])[0] & 0x3FFF
-            h = struct.unpack("<H", buf[28:30])[0] & 0x3FFF
-            return {"width": w, "height": h}
-    elif chunk == "VP8L":
-        if len(buf) >= 25 and buf[20] == 0x2F:
-            bits = struct.unpack("<I", buf[21:25])[0]
-            w = (bits & 0x3FFF) + 1
-            h = ((bits >> 14) & 0x3FFF) + 1
-            return {"width": w, "height": h}
-    elif chunk == "VP8X":
-        if len(buf) >= 30:
-            w = (buf[24] | (buf[25] << 8) | (buf[26] << 16)) + 1
-            h = (buf[27] | (buf[28] << 8) | (buf[29] << 16)) + 1
-            return {"width": w, "height": h}
-    return None
-
-
-# ============ URL 下载 ============
-
-async def download_url(
-    url: str,
-    max_size_mb: int = DEFAULT_MAX_SIZE_MB,
-) -> tuple[bytes, str]:
-    """
-    下载 URL 内容，返回 (bytes, content_type)。
-
-    Args:
-        url:          HTTP(S) URL
-        max_size_mb:  最大允许大小（MB），超过则抛出异常
-
-    Returns:
-        (data_bytes, content_type_string)
-
-    Raises:
-        ValueError:  内容超过大小限制
-        httpx.HTTPError: 网络/HTTP 错误
-    """
-    max_bytes = max_size_mb * 1024 * 1024
-    async with httpx.AsyncClient(timeout=30.0, follow_redirects=True) as client:
-        # 先 HEAD 检查大小
-        try:
-            head = await client.head(url)
-            content_length = int(head.headers.get("content-length", 0) or 0)
-            if content_length > 0 and content_length > max_bytes:
-                raise ValueError(
-                    f"文件过大: {content_length / 1024 / 1024:.1f} MB > {max_size_mb} MB"
-                )
-        except httpx.HTTPStatusError:
-            pass  # 部分服务器不支持 HEAD，忽略
-
-        # GET 下载（流式读取，防止超限）
-        async with client.stream("GET", url) as resp:
-            resp.raise_for_status()
-
-            content_type = resp.headers.get("content-type", "").split(";")[0].strip()
-
-            chunks: list[bytes] = []
-            downloaded = 0
-            async for chunk in resp.aiter_bytes(65536):
-                downloaded += len(chunk)
-                if downloaded > max_bytes:
-                    raise ValueError(
-                        f"文件过大: 已超过 {max_size_mb} MB 限制"
-                    )
-                chunks.append(chunk)
-
-        data = b"".join(chunks)
-        return data, content_type
-
-
-# ============ COS 鉴权（HMAC-SHA1） ============
-
-def _cos_sign(
-    method: str,
-    path: str,
-    params: dict[str, str],
-    headers: dict[str, str],
-    secret_id: str,
-    secret_key: str,
-    start_time: Optional[int] = None,
-    expire_seconds: int = 3600,
-) -> str:
-    """
-    构建 COS 请求签名（q-sign-algorithm=sha1 方案）。
-    参考：https://cloud.tencent.com/document/product/436/7778
-
-    Args:
-        method:         HTTP 方法（小写，如 "put"）
-        path:           URL 路径（URL encode 后的小写）
-        params:         URL 查询参数 dict（用于签名）
-        headers:        参与签名的请求头 dict（key 需小写）
-        secret_id:      临时 SecretId（tmpSecretId）
-        secret_key:     临时 SecretKey（tmpSecretKey）
-        start_time:     签名起始 Unix 时间戳（默认 now）
-        expire_seconds: 签名有效期（秒，默认 3600）
-
-    Returns:
-        Authorization header 值（完整字符串）
-    """
-    now = int(time.time())
-    q_sign_time = f"{start_time or now};{(start_time or now) + expire_seconds}"
-
-    # Step 1: SignKey = HMAC-SHA1(SecretKey, q-sign-time)
-    sign_key = hmac.new(
-        secret_key.encode("utf-8"),
-        q_sign_time.encode("utf-8"),
-        hashlib.sha1,
-    ).hexdigest()
-
-    # Step 2: HttpString
-    # 参数和头部需按字典序排列，key 小写
-    sorted_params = sorted((k.lower(), urllib.parse.quote(str(v), safe="") ) for k, v in params.items())
-    sorted_headers = sorted((k.lower(), urllib.parse.quote(str(v), safe="") ) for k, v in headers.items())
-
-    url_param_list = ";".join(k for k, _ in sorted_params)
-    url_params = "&".join(f"{k}={v}" for k, v in sorted_params)
-    header_list = ";".join(k for k, _ in sorted_headers)
-    header_str = "&".join(f"{k}={v}" for k, v in sorted_headers)
-
-    http_string = "\n".join([
-        method.lower(),
-        path,
-        url_params,
-        header_str,
-        "",
-    ])
-
-    # Step 3: StringToSign = sha1 hash of HttpString
-    sha1_of_http = hashlib.sha1(http_string.encode("utf-8")).hexdigest()
-    string_to_sign = "\n".join([
-        "sha1",
-        q_sign_time,
-        sha1_of_http,
-        "",
-    ])
-
-    # Step 4: Signature = HMAC-SHA1(SignKey, StringToSign)
-    signature = hmac.new(
-        sign_key.encode("utf-8"),
-        string_to_sign.encode("utf-8"),
-        hashlib.sha1,
-    ).hexdigest()
-
-    return (
-        f"q-sign-algorithm=sha1"
-        f"&q-ak={secret_id}"
-        f"&q-sign-time={q_sign_time}"
-        f"&q-key-time={q_sign_time}"
-        f"&q-header-list={header_list}"
-        f"&q-url-param-list={url_param_list}"
-        f"&q-signature={signature}"
-    )
-
-
-# ============ 主要公开 API ============
-
-async def get_cos_credentials(
-    app_key: str,
-    api_domain: str,
-    token: str,
-    filename: str = "file",
-    file_id: Optional[str] = None,
-    bot_id: str = "",
-    route_env: str = "",
-) -> dict:
-    """
-    调用 genUploadInfo 接口获取 COS 临时密钥及上传配置。
-
-    Args:
-        app_key:        应用 Key（用于 X-ID 头）
-        api_domain:     API 域名（如 https://bot.yuanbao.tencent.com）
-        token:          当前有效的签票 token（X-Token 头）
-        filename:       待上传的文件名（含扩展名）
-        file_id:        客户端生成的唯一文件 ID（不传则自动生成）
-        bot_id:         Bot 账号 ID（用于 X-ID 头）
-
-    Returns:
-        COS 上传配置 dict，包含以下字段：
-            bucketName         (str)  — COS Bucket 名称
-            region             (str)  — COS 地域
-            location           (str)  — 上传 Key（对象路径）
-            encryptTmpSecretId (str)  — 临时 SecretId
-            encryptTmpSecretKey(str)  — 临时 SecretKey
-            encryptToken       (str)  — SessionToken
-            startTime          (int)  — 凭证起始时间戳（Unix）
-            expiredTime        (int)  — 凭证过期时间戳（Unix）
-            resourceUrl        (str)  — 上传后的公网访问 URL
-            resourceID         (str)  — 资源 ID（可选）
-
-    Raises:
-        RuntimeError: 接口返回非 0 code 或字段缺失
-    """
-    if file_id is None:
-        file_id = generate_file_id()
-
-    upload_url = f"{api_domain.rstrip('/')}{UPLOAD_INFO_PATH}"
-
-    headers = {
-        "Content-Type": "application/json",
-        "X-Token": token,
-        "X-ID": bot_id or app_key,
-        "X-Source": "web",
-    }
-    if route_env:
-        headers["X-Route-Env"] = route_env
-    body = {
-        "fileName": filename,
-        "fileId": file_id,
-        "docFrom": "localDoc",
-        "docOpenId": "",
-    }
-
-    async with httpx.AsyncClient(timeout=15.0) as client:
-        resp = await client.post(upload_url, json=body, headers=headers)
-        resp.raise_for_status()
-        result: dict[str, Any] = resp.json()
-
-    code = result.get("code")
-    if code != 0 and code is not None:
-        raise RuntimeError(
-            f"genUploadInfo 失败: code={code}, msg={result.get('msg', '')}"
-        )
-
-    data = result.get("data") or result
-    required_fields = ["bucketName", "location"]
-    missing = [f for f in required_fields if not data.get(f)]
-    if missing:
-        raise RuntimeError(
-            f"genUploadInfo 返回字段不完整: 缺少字段 {missing}"
-        )
-
-    return data
-
-
-async def upload_to_cos(
-    file_bytes: bytes,
-    filename: str,
-    content_type: str,
-    credentials: dict,
-    bucket: str,
-    region: str,
-) -> dict:
-    """
-    通过 httpx PUT 请求将文件上传到 COS。
-    使用临时凭证（tmpSecretId/tmpSecretKey/sessionToken）构建 HMAC-SHA1 签名。
-
-    Args:
-        file_bytes:   文件二进制内容
-        filename:     文件名（用于辅助计算 MIME、UUID）
-        content_type: MIME 类型（如 "image/jpeg"）
-        credentials:  get_cos_credentials() 返回的 dict，包含：
-                        encryptTmpSecretId  → tmpSecretId
-                        encryptTmpSecretKey → tmpSecretKey
-                        encryptToken        → sessionToken
-                        location            → COS key（对象路径）
-                        resourceUrl         → 上传后公网 URL
-                        startTime           → 凭证起始时间（Unix）
-                        expiredTime         → 凭证过期时间（Unix）
-        bucket:       COS Bucket 名称（如 chatbot-1234567890）
-        region:       COS 地域（如 ap-guangzhou）
-
-    Returns:
-        上传结果 dict，包含：
-            url       (str)           — COS 公网访问 URL
-            uuid      (str)           — 文件内容 MD5
-            size      (int)           — 文件大小（字节）
-            width     (int, optional) — 图片宽度（仅图片）
-            height    (int, optional) — 图片高度（仅图片）
-
-    Raises:
-        httpx.HTTPStatusError: COS 返回非 2xx 状态
-        RuntimeError:          credentials 字段缺失
-    """
-    secret_id: str = credentials.get("encryptTmpSecretId", "")
-    secret_key: str = credentials.get("encryptTmpSecretKey", "")
-    session_token: str = credentials.get("encryptToken", "")
-    cos_key: str = credentials.get("location", "")
-    resource_url: str = credentials.get("resourceUrl", "")
-    start_time: Optional[int] = credentials.get("startTime")
-    expired_time: Optional[int] = credentials.get("expiredTime")
-
-    if not secret_id or not secret_key or not cos_key:
-        raise RuntimeError(
-            f"COS credentials 不完整: secretId={bool(secret_id)}, "
-            f"secretKey={bool(secret_key)}, location={bool(cos_key)}"
-        )
-
-    # 构建 COS 上传 URL（优先使用全球加速域名）
-    if COS_USE_ACCELERATE:
-        cos_host = f"{bucket}.cos.accelerate.myqcloud.com"
-    else:
-        cos_host = f"{bucket}.cos.{region}.myqcloud.com"
-
-    # URL encode cos_key（保留 /）
-    encoded_key = urllib.parse.quote(cos_key, safe="/")
-    cos_url = f"https://{cos_host}/{encoded_key.lstrip('/')}"
-
-    # 确定 Content-Type
-    if not content_type or content_type == "application/octet-stream":
-        if is_image(filename):
-            content_type = guess_mime_type(filename)
-        else:
-            content_type = "application/octet-stream"
-
-    # 计算文件 MD5 + size
-    file_uuid = md5_hex(file_bytes)
-    file_size = len(file_bytes)
-
-    # 参与签名的请求头
-    sign_headers = {
-        "host": cos_host,
-        "content-type": content_type,
-        "x-cos-security-token": session_token,
-    }
-
-    # 计算签名有效期
-    now = int(time.time())
-    sign_start = start_time if start_time else now
-    sign_expire = (expired_time - now) if expired_time and expired_time > now else 3600
-
-    authorization = _cos_sign(
-        method="put",
-        path=f"/{encoded_key.lstrip('/')}",
-        params={},
-        headers=sign_headers,
-        secret_id=secret_id,
-        secret_key=secret_key,
-        start_time=sign_start,
-        expire_seconds=sign_expire,
-    )
-
-    put_headers = {
-        "Authorization": authorization,
-        "Content-Type": content_type,
-        "x-cos-security-token": session_token,
-    }
-
-    logger.info(
-        "COS PUT: bucket=%s region=%s key=%s size=%d mime=%s",
-        bucket, region, cos_key, file_size, content_type,
-    )
-
-    async with httpx.AsyncClient(timeout=120.0) as client:
-        resp = await client.put(
-            cos_url,
-            content=file_bytes,
-            headers=put_headers,
-        )
-        resp.raise_for_status()
-
-    # 解析图片尺寸（仅图片类型）
-    result: dict[str, Any] = {
-        "url": resource_url or cos_url,
-        "uuid": file_uuid,
-        "size": file_size,
-    }
-
-    if content_type.startswith("image/"):
-        size_info = parse_image_size(file_bytes)
-        if size_info:
-            result["width"] = size_info["width"]
-            result["height"] = size_info["height"]
-
-    logger.info(
-        "COS 上传成功: url=%s size=%d",
-        result["url"], file_size,
-    )
-    return result
-
-
-# ============ TIM 媒体消息构建 ============
-
-def build_image_msg_body(
-    url: str,
-    uuid: Optional[str] = None,
-    filename: Optional[str] = None,
-    size: int = 0,
-    width: int = 0,
-    height: int = 0,
-    mime_type: str = "",
-) -> list[dict]:
-    """
-    构建腾讯 IM TIMImageElem 消息体。
-    参考：https://cloud.tencent.com/document/product/269/2720
-
-    Args:
-        url:       图片公网访问 URL（COS resourceUrl）
-        uuid:      文件 UUID（MD5 或其他唯一标识）
-        filename:  文件名（uuid 为空时作为备用）
-        size:      文件大小（字节）
-        width:     图片宽度（像素）
-        height:    图片高度（像素）
-        mime_type: MIME 类型（用于确定 image_format）
-
-    Returns:
-        TIMImageElem 消息体列表（适合直接放入 msg_body）
-    """
-    _uuid = uuid or filename or _basename_from_url(url) or "image"
-    image_format = get_image_format(mime_type) if mime_type else 255
-
-    return [
-        {
-            "msg_type": "TIMImageElem",
-            "msg_content": {
-                "uuid": _uuid,
-                "image_format": image_format,
-                "image_info_array": [
-                    {
-                        "type": 1,       # 1 = 原图
-                        "size": size,
-                        "width": width,
-                        "height": height,
-                        "url": url,
-                    }
-                ],
-            },
-        }
-    ]
-
-
-def build_file_msg_body(
-    url: str,
-    filename: str,
-    uuid: Optional[str] = None,
-    size: int = 0,
-) -> list[dict]:
-    """
-    构建腾讯 IM TIMFileElem 消息体。
-    参考：https://cloud.tencent.com/document/product/269/2720
-
-    Args:
-        url:      文件公网访问 URL（COS resourceUrl）
-        filename: 文件名（含扩展名）
-        uuid:     文件 UUID（MD5 或其他唯一标识，不传则使用 filename）
-        size:     文件大小（字节）
-
-    Returns:
-        TIMFileElem 消息体列表（适合直接放入 msg_body）
-    """
-    _uuid = uuid or filename
-
-    return [
-        {
-            "msg_type": "TIMFileElem",
-            "msg_content": {
-                "uuid": _uuid,
-                "file_name": filename,
-                "file_size": size,
-                "url": url,
-            },
-        }
-    ]
-
-
-# ============ 内部工具 ============
-
-def _basename_from_url(url: str) -> str:
-    """从 URL 提取文件名。"""
-    try:
-        parsed = urllib.parse.urlparse(url)
-        return os.path.basename(parsed.path)
-    except Exception:
-        return ""

gateway/platforms/yuanbao_sticker.py

@@ -1,558 +0,0 @@
-"""
-Yuanbao sticker (TIMFaceElem) support.
-
-Ported from yuanbao-openclaw-plugin/src/sticker/.
-
-TIMFaceElem wire format:
-    {
-        "msg_type": "TIMFaceElem",
-        "msg_content": {
-            "index": 0,          # always 0 per Yuanbao convention
-            "data": "<json>",    # serialised sticker metadata
-        }
-    }
-
-The `data` field carries a JSON string with the sticker's metadata so the
-receiver can look up the correct asset in the emoji pack.
-"""
-
-from __future__ import annotations
-
-import json
-import random
-import re
-import unicodedata
-from typing import Optional
-
-# ---------------------------------------------------------------------------
-# Sticker catalogue – ported from builtin-stickers.json
-# Key   : canonical name (Chinese)
-# Value : {sticker_id, package_id, name, description, width, height, formats}
-# ---------------------------------------------------------------------------
-STICKER_MAP: dict[str, dict] = {
-    "六六六": {
-        "sticker_id": "278", "package_id": "1003", "name": "六六六",
-        "description": "666 厉害 牛 棒 绝了 好强 awesome",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "我想开了": {
-        "sticker_id": "262", "package_id": "1003", "name": "我想开了",
-        "description": "想开 佛系 释怀 顿悟 看淡了 无所谓",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "害羞": {
-        "sticker_id": "130", "package_id": "1003", "name": "害羞",
-        "description": "腼腆 不好意思 脸红 娇羞 羞涩 捂脸",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "比心": {
-        "sticker_id": "252", "package_id": "1003", "name": "比心",
-        "description": "笔芯 爱你 爱心手势 love heart 喜欢你",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "委屈": {
-        "sticker_id": "125", "package_id": "1003", "name": "委屈",
-        "description": "难过 想哭 可怜巴巴 瘪嘴 受伤 被欺负",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "亲亲": {
-        "sticker_id": "146", "package_id": "1003", "name": "亲亲",
-        "description": "么么 mua 亲一下 kiss 飞吻 啵",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "酷": {
-        "sticker_id": "131", "package_id": "1003", "name": "酷",
-        "description": "帅 墨镜 cool 高冷 有型 swagger",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "睡": {
-        "sticker_id": "145", "package_id": "1003", "name": "睡",
-        "description": "睡觉 困 zzZ 打盹 躺平 休眠 sleepy",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "发呆": {
-        "sticker_id": "152", "package_id": "1003", "name": "发呆",
-        "description": "懵 愣住 放空 呆滞 出神 脑子空白",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "可怜": {
-        "sticker_id": "157", "package_id": "1003", "name": "可怜",
-        "description": "卖萌 求饶 委屈巴巴 弱小 拜托 眼巴巴",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "摊手": {
-        "sticker_id": "200", "package_id": "1003", "name": "摊手",
-        "description": "无奈 没办法 耸肩 随便 那咋整 whatever",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "头大": {
-        "sticker_id": "213", "package_id": "1003", "name": "头大",
-        "description": "头疼 烦恼 郁闷 难搞 崩溃 一团乱",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "吓": {
-        "sticker_id": "256", "package_id": "1003", "name": "吓",
-        "description": "害怕 惊恐 震惊 吓一跳 恐怖 怂",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "吐血": {
-        "sticker_id": "203", "package_id": "1003", "name": "吐血",
-        "description": "无语 崩溃 被雷 内伤 一口老血 屮",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "哼": {
-        "sticker_id": "185", "package_id": "1003", "name": "哼",
-        "description": "傲娇 生气 不满 撇嘴 不理 赌气",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "嘿嘿": {
-        "sticker_id": "220", "package_id": "1003", "name": "嘿嘿",
-        "description": "坏笑 猥琐笑 偷笑 憨笑 得意 你懂的",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "头秃": {
-        "sticker_id": "218", "package_id": "1003", "name": "头秃",
-        "description": "程序员 加班 焦虑 没头发 秃了 肝爆",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "暗中观察": {
-        "sticker_id": "221", "package_id": "1003", "name": "暗中观察",
-        "description": "窥屏 潜水 偷偷看 角落 围观 屏住呼吸",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "我酸了": {
-        "sticker_id": "224", "package_id": "1003", "name": "我酸了",
-        "description": "嫉妒 柠檬精 羡慕 吃柠檬 眼红 恰柠檬",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "打call": {
-        "sticker_id": "246", "package_id": "1003", "name": "打call",
-        "description": "应援 加油 支持 喝彩 助威 call",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "庆祝": {
-        "sticker_id": "251", "package_id": "1003", "name": "庆祝",
-        "description": "祝贺 开心 耶 party 胜利 干杯",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "奋斗": {
-        "sticker_id": "151", "package_id": "1003", "name": "奋斗",
-        "description": "努力 加油 拼搏 冲 干劲 卷起来",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "惊讶": {
-        "sticker_id": "143", "package_id": "1003", "name": "惊讶",
-        "description": "震惊 哇 不敢相信 OMG 居然 这么离谱",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "疑问": {
-        "sticker_id": "144", "package_id": "1003", "name": "疑问",
-        "description": "问号 不懂 啥 为什么 啥情况 懵逼问",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "仔细分析": {
-        "sticker_id": "248", "package_id": "1003", "name": "仔细分析",
-        "description": "思考 推敲 认真 研究 琢磨 让我想想",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "撅嘴": {
-        "sticker_id": "184", "package_id": "1003", "name": "撅嘴",
-        "description": "嘟嘴 卖萌 不高兴 撒娇 嘴翘",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "泪奔": {
-        "sticker_id": "199", "package_id": "1003", "name": "泪奔",
-        "description": "大哭 伤心 破防 感动哭 泪流满面 呜呜",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "尊嘟假嘟": {
-        "sticker_id": "276", "package_id": "1003", "name": "尊嘟假嘟",
-        "description": "真的假的 真假 可爱问 你骗我 是不是",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "略略略": {
-        "sticker_id": "113", "package_id": "1003", "name": "略略略",
-        "description": "调皮 吐舌 不服 略 气死你 鬼脸",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "困": {
-        "sticker_id": "180", "package_id": "1003", "name": "困",
-        "description": "想睡 倦 打哈欠 睁不开眼 好困啊 sleepy",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "折磨": {
-        "sticker_id": "181", "package_id": "1003", "name": "折磨",
-        "description": "难受 痛苦 煎熬 蚌埠住了 受不了 要命",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "抠鼻": {
-        "sticker_id": "182", "package_id": "1003", "name": "抠鼻",
-        "description": "不屑 无聊 淡定 无所谓 鄙视 挖鼻",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "鼓掌": {
-        "sticker_id": "183", "package_id": "1003", "name": "鼓掌",
-        "description": "拍手 叫好 赞同 666 喝彩 掌声",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "斜眼笑": {
-        "sticker_id": "204", "package_id": "1003", "name": "斜眼笑",
-        "description": "滑稽 坏笑 doge 意味深长 阴阳怪气 嘿嘿嘿",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "辣眼睛": {
-        "sticker_id": "216", "package_id": "1003", "name": "辣眼睛",
-        "description": "看不下去 cringe 毁三观 太丑了 瞎了",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "哦哟": {
-        "sticker_id": "217", "package_id": "1003", "name": "哦哟",
-        "description": "惊讶 起哄 哇哦 有戏 不简单 哟",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "吃瓜": {
-        "sticker_id": "222", "package_id": "1003", "name": "吃瓜",
-        "description": "围观 看戏 八卦 路人 看热闹 板凳",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "狗头": {
-        "sticker_id": "225", "package_id": "1003", "name": "狗头",
-        "description": "doge 保命 开玩笑 滑稽 反讽 懂的都懂",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "敬礼": {
-        "sticker_id": "227", "package_id": "1003", "name": "敬礼",
-        "description": "salute 尊重 收到 遵命 致敬 报告",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "哦": {
-        "sticker_id": "231", "package_id": "1003", "name": "哦",
-        "description": "知道了 明白 敷衍 嗯 这样啊 收到",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "拿到红包": {
-        "sticker_id": "236", "package_id": "1003", "name": "拿到红包",
-        "description": "红包 谢谢老板 发财 开心 抢到了 欧气",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "牛吖": {
-        "sticker_id": "239", "package_id": "1003", "name": "牛吖",
-        "description": "牛 厉害 强 666 佩服 大佬",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "贴贴": {
-        "sticker_id": "272", "package_id": "1003", "name": "贴贴",
-        "description": "抱抱 亲昵 蹭蹭 亲密 靠靠 撒娇贴",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "爱心": {
-        "sticker_id": "138", "package_id": "1003", "name": "爱心",
-        "description": "心 love 喜欢你 红心 示爱 么么哒",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "晚安": {
-        "sticker_id": "170", "package_id": "1003", "name": "晚安",
-        "description": "好梦 睡了 night 早点休息 安啦 moon",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "太阳": {
-        "sticker_id": "176", "package_id": "1003", "name": "太阳",
-        "description": "晴天 早上好 阳光 morning 好天气 日",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "柠檬": {
-        "sticker_id": "266", "package_id": "1003", "name": "柠檬",
-        "description": "酸 嫉妒 柠檬精 羡慕 我酸 恰柠檬",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "大冤种": {
-        "sticker_id": "267", "package_id": "1003", "name": "大冤种",
-        "description": "倒霉 吃亏 自嘲 好心没好报 背锅 工具人",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "吐了": {
-        "sticker_id": "132", "package_id": "1003", "name": "吐了",
-        "description": "恶心 yue 受不了 嫌弃 想吐 生理不适",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "怒": {
-        "sticker_id": "134", "package_id": "1003", "name": "怒",
-        "description": "生气 愤怒 火大 暴躁 气炸 怼",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "玫瑰": {
-        "sticker_id": "165", "package_id": "1003", "name": "玫瑰",
-        "description": "花 示爱 表白 浪漫 送你花 情人节",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "凋谢": {
-        "sticker_id": "119", "package_id": "1003", "name": "凋谢",
-        "description": "花谢 失恋 难过 枯萎 心碎 凉了",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "点赞": {
-        "sticker_id": "159", "package_id": "1003", "name": "点赞",
-        "description": "赞 认同 好棒 good like 大拇指 顶",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "握手": {
-        "sticker_id": "164", "package_id": "1003", "name": "握手",
-        "description": "合作 你好 商务 hello deal 成交 友好",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "抱拳": {
-        "sticker_id": "163", "package_id": "1003", "name": "抱拳",
-        "description": "谢谢 失敬 江湖 承让 拜托 有礼",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "ok": {
-        "sticker_id": "169", "package_id": "1003", "name": "ok",
-        "description": "好的 收到 没问题 okay 行 可以 懂了",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "拳头": {
-        "sticker_id": "174", "package_id": "1003", "name": "拳头",
-        "description": "加油 干 冲 fight 力量 击拳 硬气",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "鞭炮": {
-        "sticker_id": "191", "package_id": "1003", "name": "鞭炮",
-        "description": "过年 喜庆 爆竹 春节 噼里啪啦 红",
-        "width": 128, "height": 128, "formats": "png",
-    },
-    "烟花": {
-        "sticker_id": "258", "package_id": "1003", "name": "烟花",
-        "description": "庆典 漂亮 新年 嘭 绽放 节日快乐",
-        "width": 128, "height": 128, "formats": "png",
-    },
-}
-
-
-def get_sticker_by_name(name: str) -> Optional[dict]:
-    """
-    按名称查找贴纸，支持模糊匹配。
-
-    匹配优先级：
-      1. 完全相等（name）
-      2. name 包含查询词（前缀/子串）
-      3. description 包含查询词（同义词搜索）
-      4. 通用模糊评分（与 sticker-search 同算法），命中即返回得分最高的一条
-
-    返回 sticker dict，找不到返回 None。
-    """
-    if not name:
-        return None
-
-    query = name.strip()
-
-    if query in STICKER_MAP:
-        return STICKER_MAP[query]
-
-    for key, sticker in STICKER_MAP.items():
-        if query in key or key in query:
-            return sticker
-
-    for sticker in STICKER_MAP.values():
-        desc = sticker.get("description", "")
-        if query in desc:
-            return sticker
-
-    matches = search_stickers(query, limit=1)
-    return matches[0] if matches else None
-
-
-def get_random_sticker(category: str = None) -> dict:
-    """
-    随机返回一个贴纸。
-
-    若指定 category，则在 description 中含有该关键词的贴纸里随机选取；
-    category 为 None 时从全表随机。
-    """
-    if category:
-        candidates = [
-            s for s in STICKER_MAP.values()
-            if category in s.get("description", "") or category in s.get("name", "")
-        ]
-        if candidates:
-            return random.choice(candidates)
-    return random.choice(list(STICKER_MAP.values()))
-
-
-def get_sticker_by_id(sticker_id: str) -> Optional[dict]:
-    """按 sticker_id 精确查找贴纸。"""
-    if not sticker_id:
-        return None
-    sid = str(sticker_id).strip()
-    for sticker in STICKER_MAP.values():
-        if sticker.get("sticker_id") == sid:
-            return sticker
-    return None
-
-
-# ---------------------------------------------------------------------------
-# 模糊搜索（对齐 chatbot-web yuanbao-openclaw-plugin/sticker-cache.ts.searchStickers）
-# ---------------------------------------------------------------------------
-
-_PUNCT_RE = re.compile(r"[\s\u3000\-_·.,，。!！?？\"“”'‘’、/\\]+")
-
-
-def _normalize_text(raw: str) -> str:
-    return unicodedata.normalize("NFKC", str(raw or "")).strip().lower()
-
-
-def _compact_text(raw: str) -> str:
-    return _PUNCT_RE.sub("", _normalize_text(raw))
-
-
-def _multiset_char_hit_ratio(needle: str, haystack: str) -> float:
-    if not needle:
-        return 0.0
-    bag: dict[str, int] = {}
-    for ch in haystack:
-        bag[ch] = bag.get(ch, 0) + 1
-    hits = 0
-    for ch in needle:
-        n = bag.get(ch, 0)
-        if n > 0:
-            hits += 1
-            bag[ch] = n - 1
-    return hits / len(needle)
-
-
-def _bigram_jaccard(a: str, b: str) -> float:
-    if len(a) < 2 or len(b) < 2:
-        return 0.0
-    A = {a[i:i + 2] for i in range(len(a) - 1)}
-    B = {b[i:i + 2] for i in range(len(b) - 1)}
-    inter = len(A & B)
-    union = len(A) + len(B) - inter
-    return inter / union if union else 0.0
-
-
-def _longest_subsequence_ratio(needle: str, haystack: str) -> float:
-    if not needle:
-        return 0.0
-    j = 0
-    for ch in haystack:
-        if j >= len(needle):
-            break
-        if ch == needle[j]:
-            j += 1
-    return j / len(needle)
-
-
-def _score_field(haystack: str, query: str) -> float:
-    hay = _normalize_text(haystack)
-    q = _normalize_text(query)
-    if not hay or not q:
-        return 0.0
-    hay_c = _compact_text(haystack)
-    q_c = _compact_text(query)
-    best = 0.0
-    if hay == q:
-        best = max(best, 100.0)
-    if q in hay:
-        best = max(best, 92 + min(6, len(q)))
-    if len(q) >= 2 and hay.startswith(q):
-        best = max(best, 88.0)
-    if q_c and q_c in hay_c:
-        best = max(best, 86.0)
-    best = max(best, _multiset_char_hit_ratio(q_c, hay_c) * 62)
-    best = max(best, _bigram_jaccard(q_c, hay_c) * 58)
-    best = max(best, _longest_subsequence_ratio(q_c, hay_c) * 52)
-    if len(q) == 1 and q in hay:
-        best = max(best, 68.0)
-    return best
-
-
-def search_stickers(query: str, limit: int = 10) -> list[dict]:
-    """
-    在内置贴纸表中按模糊匹配排序返回前 N 条结果。
-
-    评分综合 name/description 字段的子串、字符多重集覆盖、bigram Jaccard、子序列比例。
-    name 权重略高于 description（×0.88）。空 query 时按字典顺序返回前 N 条。
-    """
-    safe_limit = max(1, min(500, int(limit) if limit else 10))
-    if not query or not _normalize_text(query):
-        return list(STICKER_MAP.values())[:safe_limit]
-
-    scored: list[tuple[float, dict]] = []
-    for sticker in STICKER_MAP.values():
-        name_s = _score_field(sticker.get("name", ""), query)
-        desc_s = _score_field(sticker.get("description", ""), query) * 0.88
-        sid = str(sticker.get("sticker_id", "")).strip()
-        q_norm = _normalize_text(query)
-        id_s = 0.0
-        if sid and q_norm:
-            sid_norm = _normalize_text(sid)
-            if sid_norm == q_norm:
-                id_s = 100.0
-            elif q_norm in sid_norm:
-                id_s = 84.0
-        scored.append((max(name_s, desc_s, id_s), sticker))
-
-    scored.sort(key=lambda x: x[0], reverse=True)
-    top = scored[0][0] if scored else 0
-    if top <= 0:
-        return [s for _, s in scored[:safe_limit]]
-
-    if top >= 22:
-        floor = 18.0
-    elif top >= 12:
-        floor = max(10.0, top * 0.5)
-    else:
-        floor = max(6.0, top * 0.35)
-
-    filtered = [pair for pair in scored if pair[0] >= floor]
-    out = filtered if filtered else scored
-    return [s for _, s in out[:safe_limit]]
-
-
-def build_face_msg_body(
-    face_index: int,
-    face_type: int = 1,
-    data: Optional[str] = None,
-) -> list:
-    """
-    构造 TIMFaceElem 消息体。
-
-    Yuanbao 约定：
-      - index 固定传 0（服务端通过 data 字段识别具体表情）
-      - data 为 JSON 字符串，包含 sticker_id / package_id 等字段
-
-    Args:
-        face_index: 保留字段，暂时不影响 wire format（Yuanbao 固定 index=0）。
-                    当 face_index > 0 时视为旧版 QQ 表情 ID，直接放入 index。
-        face_type:  保留字段（兼容旧接口，当前未使用）。
-        data:       已序列化的 JSON 字符串；为 None 时仅传 index。
-
-    Returns:
-        符合 Yuanbao TIM 协议的 msg_body list，如::
-
-            [{"msg_type": "TIMFaceElem", "msg_content": {"index": 0, "data": "..."}}]
-    """
-    msg_content: dict = {"index": face_index}
-    if data is not None:
-        msg_content["data"] = data
-    return [{"msg_type": "TIMFaceElem", "msg_content": msg_content}]
-
-
-def build_sticker_msg_body(sticker: dict) -> list:
-    """
-    从 STICKER_MAP 中的 sticker dict 直接构造 TIMFaceElem 消息体。
-
-    这是 send_sticker() 的内部辅助，确保 data 字段与原始 JS 插件一致。
-    """
-    data_payload = json.dumps(
-        {
-            "sticker_id": sticker["sticker_id"],
-            "package_id": sticker["package_id"],
-            "width": sticker.get("width", 128),
-            "height": sticker.get("height", 128),
-            "formats": sticker.get("formats", "png"),
-            "name": sticker["name"],
-        },
-        ensure_ascii=False,
-        separators=(",", ":"),
-    )
-    return build_face_msg_body(face_index=0, data=data_payload)

gateway/session.py

@@ -60,10 +60,6 @@ from .config import (
     SessionResetPolicy,  # noqa: F401 — re-exported via gateway/__init__.py
     HomeChannel,
 )
-from .whatsapp_identity import (
-    canonical_whatsapp_identifier,
-    normalize_whatsapp_identifier,
-)
 
 
 @dataclass
@@ -84,12 +80,9 @@ class SessionSource:
     user_name: Optional[str] = None
     thread_id: Optional[str] = None  # For forum topics, Discord threads, etc.
     chat_topic: Optional[str] = None  # Channel topic/description (Discord, Slack)
-    user_id_alt: Optional[str] = None  # Platform-specific stable alt ID (Signal UUID, Feishu union_id)
+    user_id_alt: Optional[str] = None  # Signal UUID (alternative to phone number)
     chat_id_alt: Optional[str] = None  # Signal group internal ID
     is_bot: bool = False  # True when the message author is a bot/webhook (Discord)
-    guild_id: Optional[str] = None  # Discord guild / Slack workspace / Matrix server scope
-    parent_chat_id: Optional[str] = None  # Parent channel when chat_id refers to a thread
-    message_id: Optional[str] = None  # ID of the triggering message (for pin/reply/react)
     
     @property
     def description(self) -> str:
@@ -127,14 +120,8 @@ class SessionSource:
             d["user_id_alt"] = self.user_id_alt
         if self.chat_id_alt:
             d["chat_id_alt"] = self.chat_id_alt
-        if self.guild_id:
-            d["guild_id"] = self.guild_id
-        if self.parent_chat_id:
-            d["parent_chat_id"] = self.parent_chat_id
-        if self.message_id:
-            d["message_id"] = self.message_id
         return d
-
+    
     @classmethod
     def from_dict(cls, data: Dict[str, Any]) -> "SessionSource":
         return cls(
@@ -148,9 +135,6 @@ class SessionSource:
             chat_topic=data.get("chat_topic"),
             user_id_alt=data.get("user_id_alt"),
             chat_id_alt=data.get("chat_id_alt"),
-            guild_id=data.get("guild_id"),
-            parent_chat_id=data.get("parent_chat_id"),
-            message_id=data.get("message_id"),
         )
     
 
@@ -202,31 +186,6 @@ that requires raw IDs).  Discord is excluded because mentions use ``<@user_id>``
 and the LLM needs the real ID to tag users."""
 
 
-def _discord_tools_loaded() -> bool:
-    """True iff the agent will actually have Discord tools this session.
-
-    Two conditions must hold:
-      1. The `discord` or `discord_admin` toolset is enabled for the
-         Discord platform via `hermes tools` (opt-in, default OFF).
-      2. `DISCORD_BOT_TOKEN` is set — the tool's `check_fn` gates on it
-         at registry time, so the toolset being enabled in config is not
-         enough if the token isn't configured.
-
-    Returns False (safe default — keeps the stale-API disclaimer) on any
-    error so a bad config can't silently promise tools the agent lacks.
-    """
-    if not (os.environ.get("DISCORD_BOT_TOKEN") or "").strip():
-        return False
-    try:
-        from hermes_cli.config import load_config
-        from hermes_cli.tools_config import _get_platform_tools
-        cfg = load_config()
-        enabled = _get_platform_tools(cfg, "discord", include_default_mcp_servers=False)
-        return "discord" in enabled or "discord_admin" in enabled
-    except Exception:
-        return False
-
-
 def build_session_context_prompt(
     context: SessionContext,
     *,
@@ -310,57 +269,17 @@ def build_session_context_prompt(
             "**Platform notes:** You are running inside Slack. "
             "You do NOT have access to Slack-specific APIs — you cannot search "
             "channel history, pin/unpin messages, manage channels, or list users. "
-            "Do not promise to perform these actions. The gateway may inline the "
-            "current message's Slack block/attachment payload when available, but "
-            "you still cannot call Slack APIs yourself."
+            "Do not promise to perform these actions. If the user asks, explain "
+            "that you can only read messages sent directly to you and respond."
         )
     elif context.source.platform == Platform.DISCORD:
-        # Inject the Discord IDs block only when the agent actually has
-        # Discord tools loaded this session — i.e. the user opted into
-        # `discord` / `discord_admin` via `hermes tools` AND the bot
-        # token is configured.  Otherwise keep the stale-API disclaimer
-        # honest so we never promise tools the agent lacks.
-        if _discord_tools_loaded():
-            src = context.source
-            id_lines = ["", "**Discord IDs (for the `discord` / `discord_admin` tools):**"]
-            if src.guild_id:
-                id_lines.append(f"  - Guild: `{src.guild_id}`")
-            if src.thread_id and src.parent_chat_id:
-                id_lines.append(f"  - Parent channel: `{src.parent_chat_id}`")
-                id_lines.append(f"  - Thread: `{src.thread_id}` (use as `channel_id` for fetch_messages etc.)")
-            else:
-                id_lines.append(f"  - Channel: `{src.chat_id}`")
-            if src.message_id:
-                id_lines.append(f"  - Triggering message: `{src.message_id}`")
-            lines.extend(id_lines)
-        else:
-            lines.append("")
-            lines.append(
-                "**Platform notes:** You are running inside Discord. "
-                "You do NOT have access to Discord-specific APIs — you cannot search "
-                "channel history, pin messages, manage roles, or list server members. "
-                "Do not promise to perform these actions. If the user asks, explain "
-                "that you can only read messages sent directly to you and respond."
-            )
-    elif context.source.platform == Platform.BLUEBUBBLES:
         lines.append("")
         lines.append(
-            "**Platform notes:** You are responding via iMessage. "
-            "Keep responses short and conversational — think texts, not essays. "
-            "Structure longer replies as separate short thoughts, each separated "
-            "by a blank line (double newline). Each block between blank lines "
-            "will be delivered as its own iMessage bubble, so write accordingly: "
-            "one idea per bubble, 1–3 sentences each. "
-            "If the user needs a detailed answer, give the short version first "
-            "and offer to elaborate."
-        )
-    elif context.source.platform == Platform.YUANBAO:
-        lines.append("")
-        lines.append(
-            "**Platform notes:** You are running inside Yuanbao. "
-            "You CAN send private (DM) messages via the send_message tool. "
-            "Use target='yuanbao:direct:<account_id>' for DM "
-            "and target='yuanbao:group:<group_code>' for group chat."
+            "**Platform notes:** You are running inside Discord. "
+            "You do NOT have access to Discord-specific APIs — you cannot search "
+            "channel history, pin messages, manage roles, or list server members. "
+            "Do not promise to perform these actions. If the user asks, explain "
+            "that you can only read messages sent directly to you and respond."
         )
 
     # Connected platforms
@@ -448,11 +367,11 @@ class SessionEntry:
     auto_reset_reason: Optional[str] = None  # "idle" or "daily"
     reset_had_activity: bool = False  # whether the expired session had any messages
     
-    # Set by the background expiry watcher after it finalizes an expired
-    # session (invoking on_session_finalize hooks and evicting the cached
-    # agent).  Persisted to sessions.json so the flag survives gateway
-    # restarts — prevents redundant finalization runs.
-    expiry_finalized: bool = False
+    # Set by the background expiry watcher after it successfully flushes
+    # memories for this session.  Persisted to sessions.json so the flag
+    # survives gateway restarts (the old in-memory _pre_flushed_sessions
+    # set was lost on restart, causing redundant re-flushes).
+    memory_flushed: bool = False
 
     # When True the next call to get_or_create_session() will auto-reset
     # this session (create a new session_id) so the user starts fresh.
@@ -488,7 +407,7 @@ class SessionEntry:
             "last_prompt_tokens": self.last_prompt_tokens,
             "estimated_cost_usd": self.estimated_cost_usd,
             "cost_status": self.cost_status,
-            "expiry_finalized": self.expiry_finalized,
+            "memory_flushed": self.memory_flushed,
             "suspended": self.suspended,
             "resume_pending": self.resume_pending,
             "resume_reason": self.resume_reason,
@@ -540,7 +459,7 @@ class SessionEntry:
             last_prompt_tokens=data.get("last_prompt_tokens", 0),
             estimated_cost_usd=data.get("estimated_cost_usd", 0.0),
             cost_status=data.get("cost_status", "unknown"),
-            expiry_finalized=data.get("expiry_finalized", data.get("memory_flushed", False)),
+            memory_flushed=data.get("memory_flushed", False),
             suspended=data.get("suspended", False),
             resume_pending=data.get("resume_pending", False),
             resume_reason=data.get("resume_reason"),
@@ -599,24 +518,15 @@ def build_session_key(
     """
     platform = source.platform.value
     if source.chat_type == "dm":
-        dm_chat_id = source.chat_id
-        if source.platform == Platform.WHATSAPP:
-            dm_chat_id = canonical_whatsapp_identifier(source.chat_id)
-
-        if dm_chat_id:
+        if source.chat_id:
             if source.thread_id:
-                return f"agent:main:{platform}:dm:{dm_chat_id}:{source.thread_id}"
-            return f"agent:main:{platform}:dm:{dm_chat_id}"
+                return f"agent:main:{platform}:dm:{source.chat_id}:{source.thread_id}"
+            return f"agent:main:{platform}:dm:{source.chat_id}"
         if source.thread_id:
             return f"agent:main:{platform}:dm:{source.thread_id}"
         return f"agent:main:{platform}:dm"
 
     participant_id = source.user_id_alt or source.user_id
-    if participant_id and source.platform == Platform.WHATSAPP:
-        # Same JID/LID-flip bug as the DM case: without canonicalisation, a
-        # single group member gets two isolated per-user sessions when the
-        # bridge reshuffles alias forms.
-        participant_id = canonical_whatsapp_identifier(str(participant_id)) or participant_id
     key_parts = ["agent:main", platform, source.chat_type]
 
     if source.chat_id:
@@ -1237,11 +1147,6 @@ class SessionStore:
                     tool_name=message.get("tool_name"),
                     tool_calls=message.get("tool_calls"),
                     tool_call_id=message.get("tool_call_id"),
-                    reasoning=message.get("reasoning") if message.get("role") == "assistant" else None,
-                    reasoning_content=message.get("reasoning_content") if message.get("role") == "assistant" else None,
-                    reasoning_details=message.get("reasoning_details") if message.get("role") == "assistant" else None,
-                    codex_reasoning_items=message.get("codex_reasoning_items") if message.get("role") == "assistant" else None,
-                    codex_message_items=message.get("codex_message_items") if message.get("role") == "assistant" else None,
                 )
             except Exception as e:
                 logger.debug("Session DB operation failed: %s", e)
@@ -1271,10 +1176,8 @@ class SessionStore:
                         tool_calls=msg.get("tool_calls"),
                         tool_call_id=msg.get("tool_call_id"),
                         reasoning=msg.get("reasoning") if role == "assistant" else None,
-                        reasoning_content=msg.get("reasoning_content") if role == "assistant" else None,
                         reasoning_details=msg.get("reasoning_details") if role == "assistant" else None,
                         codex_reasoning_items=msg.get("codex_reasoning_items") if role == "assistant" else None,
-                        codex_message_items=msg.get("codex_message_items") if role == "assistant" else None,
                     )
             except Exception as e:
                 logger.debug("Failed to rewrite transcript in DB: %s", e)

gateway/status.py

@@ -22,18 +22,11 @@ from pathlib import Path
 from hermes_constants import get_hermes_home
 from typing import Any, Optional
 
-if sys.platform == "win32":
-    import msvcrt
-else:
-    import fcntl
-
 _GATEWAY_KIND = "hermes-gateway"
 _RUNTIME_STATUS_FILE = "gateway_state.json"
 _LOCKS_DIRNAME = "gateway-locks"
 _IS_WINDOWS = sys.platform == "win32"
 _UNSET = object()
-_GATEWAY_LOCK_FILENAME = "gateway.lock"
-_gateway_lock_handle = None
 
 
 def _get_pid_path() -> Path:
@@ -42,14 +35,6 @@ def _get_pid_path() -> Path:
     return home / "gateway.pid"
 
 
-def _get_gateway_lock_path(pid_path: Optional[Path] = None) -> Path:
-    """Return the path to the runtime gateway lock file."""
-    if pid_path is not None:
-        return pid_path.with_name(_GATEWAY_LOCK_FILENAME)
-    home = get_hermes_home()
-    return home / _GATEWAY_LOCK_FILENAME
-
-
 def _get_runtime_status_path() -> Path:
     """Return the persisted runtime health/status file path."""
     return _get_pid_path().with_name(_RUNTIME_STATUS_FILE)
@@ -113,11 +98,6 @@ def _get_process_start_time(pid: int) -> Optional[int]:
         return None
 
 
-def get_process_start_time(pid: int) -> Optional[int]:
-    """Public wrapper for retrieving a process start time when available."""
-    return _get_process_start_time(pid)
-
-
 def _read_process_cmdline(pid: int) -> Optional[str]:
     """Return the process command line as a space-separated string."""
     cmdline_path = Path(f"/proc/{pid}/cmdline")
@@ -141,7 +121,6 @@ def _looks_like_gateway_process(pid: int) -> bool:
         "hermes_cli.main gateway",
         "hermes_cli/main.py gateway",
         "hermes gateway",
-        "hermes-gateway",
         "gateway/run.py",
     )
     return any(pattern in cmdline for pattern in patterns)
@@ -233,135 +212,16 @@ def _read_pid_record(pid_path: Optional[Path] = None) -> Optional[dict]:
     return None
 
 
-def _read_gateway_lock_record(lock_path: Optional[Path] = None) -> Optional[dict[str, Any]]:
-    return _read_pid_record(lock_path or _get_gateway_lock_path())
-
-
-def _pid_from_record(record: Optional[dict[str, Any]]) -> Optional[int]:
-    if not record:
-        return None
-    try:
-        return int(record["pid"])
-    except (KeyError, TypeError, ValueError):
-        return None
-
-
 def _cleanup_invalid_pid_path(pid_path: Path, *, cleanup_stale: bool) -> None:
-    """Delete a stale gateway PID file (and its sibling lock metadata).
-
-    Called from ``get_running_pid()`` after the runtime lock has already been
-    confirmed inactive, so the on-disk metadata is known to belong to a dead
-    process.  Unlike ``remove_pid_file()`` (which defensively refuses to delete
-    a PID file whose ``pid`` field differs from ``os.getpid()`` to protect
-    ``--replace`` handoffs), this path force-unlinks both files so the next
-    startup sees a clean slate.
-    """
     if not cleanup_stale:
         return
     try:
-        pid_path.unlink(missing_ok=True)
+        if pid_path == _get_pid_path():
+            remove_pid_file()
+        else:
+            pid_path.unlink(missing_ok=True)
     except Exception:
         pass
-    try:
-        _get_gateway_lock_path(pid_path).unlink(missing_ok=True)
-    except Exception:
-        pass
-
-
-def _write_gateway_lock_record(handle) -> None:
-    handle.seek(0)
-    handle.truncate()
-    json.dump(_build_pid_record(), handle)
-    handle.flush()
-    try:
-        os.fsync(handle.fileno())
-    except OSError:
-        pass
-
-
-def _try_acquire_file_lock(handle) -> bool:
-    try:
-        if _IS_WINDOWS:
-            handle.seek(0, os.SEEK_END)
-            if handle.tell() == 0:
-                handle.write("\n")
-                handle.flush()
-            handle.seek(0)
-            msvcrt.locking(handle.fileno(), msvcrt.LK_NBLCK, 1)
-        else:
-            fcntl.flock(handle.fileno(), fcntl.LOCK_EX | fcntl.LOCK_NB)
-        return True
-    except (BlockingIOError, OSError):
-        return False
-
-
-def _release_file_lock(handle) -> None:
-    try:
-        if _IS_WINDOWS:
-            handle.seek(0)
-            msvcrt.locking(handle.fileno(), msvcrt.LK_UNLCK, 1)
-        else:
-            fcntl.flock(handle.fileno(), fcntl.LOCK_UN)
-    except OSError:
-        pass
-
-
-def acquire_gateway_runtime_lock() -> bool:
-    """Claim the cross-process runtime lock for the gateway.
-
-    Unlike the PID file, the lock is owned by the live process itself. If the
-    process dies abruptly, the OS releases the lock automatically.
-    """
-    global _gateway_lock_handle
-    if _gateway_lock_handle is not None:
-        return True
-
-    path = _get_gateway_lock_path()
-    path.parent.mkdir(parents=True, exist_ok=True)
-    handle = open(path, "a+", encoding="utf-8")
-    if not _try_acquire_file_lock(handle):
-        handle.close()
-        return False
-    _write_gateway_lock_record(handle)
-    _gateway_lock_handle = handle
-    return True
-
-
-def release_gateway_runtime_lock() -> None:
-    """Release the gateway runtime lock when owned by this process."""
-    global _gateway_lock_handle
-    handle = _gateway_lock_handle
-    if handle is None:
-        return
-    _gateway_lock_handle = None
-    _release_file_lock(handle)
-    try:
-        handle.close()
-    except OSError:
-        pass
-
-
-def is_gateway_runtime_lock_active(lock_path: Optional[Path] = None) -> bool:
-    """Return True when some process currently owns the gateway runtime lock."""
-    global _gateway_lock_handle
-    resolved_lock_path = lock_path or _get_gateway_lock_path()
-    if _gateway_lock_handle is not None and resolved_lock_path == _get_gateway_lock_path():
-        return True
-
-    if not resolved_lock_path.exists():
-        return False
-
-    handle = open(resolved_lock_path, "a+", encoding="utf-8")
-    try:
-        if _try_acquire_file_lock(handle):
-            _release_file_lock(handle)
-            return False
-        return True
-    finally:
-        try:
-            handle.close()
-        except OSError:
-            pass
 
 
 def write_pid_file() -> None:
@@ -501,8 +361,7 @@ def acquire_scoped_lock(scope: str, identity: str, metadata: Optional[dict[str,
         if not stale:
             try:
                 os.kill(existing_pid, 0)
-            except (ProcessLookupError, PermissionError, OSError):
-                # Windows raises OSError with WinError 87 for invalid pid check
+            except (ProcessLookupError, PermissionError):
                 stale = True
             else:
                 current_start = _get_process_start_time(existing_pid)
@@ -567,43 +426,17 @@ def release_scoped_lock(scope: str, identity: str) -> None:
         pass
 
 
-def release_all_scoped_locks(
-    *,
-    owner_pid: Optional[int] = None,
-    owner_start_time: Optional[int] = None,
-) -> int:
-    """Remove scoped lock files in the lock directory.
+def release_all_scoped_locks() -> int:
+    """Remove all scoped lock files in the lock directory.
 
     Called during --replace to clean up stale locks left by stopped/killed
-    gateway processes that did not release their locks gracefully. When an
-    ``owner_pid`` is provided, only lock records belonging to that gateway
-    process are removed. ``owner_start_time`` further narrows the match to
-    protect against PID reuse.
-
-    When no owner is provided, preserves the legacy behavior and removes every
-    scoped lock file in the directory.
-
+    gateway processes that did not release their locks gracefully.
     Returns the number of lock files removed.
     """
     lock_dir = _get_lock_dir()
     removed = 0
     if lock_dir.exists():
         for lock_file in lock_dir.glob("*.lock"):
-            if owner_pid is not None:
-                record = _read_json_file(lock_file)
-                if not isinstance(record, dict):
-                    continue
-                try:
-                    record_pid = int(record.get("pid"))
-                except (TypeError, ValueError):
-                    continue
-                if record_pid != owner_pid:
-                    continue
-                if (
-                    owner_start_time is not None
-                    and record.get("start_time") != owner_start_time
-                ):
-                    continue
             try:
                 lock_file.unlink(missing_ok=True)
                 removed += 1
@@ -750,46 +583,35 @@ def get_running_pid(
     Cleans up stale PID files automatically.
     """
     resolved_pid_path = pid_path or _get_pid_path()
-    resolved_lock_path = _get_gateway_lock_path(resolved_pid_path)
-    lock_active = is_gateway_runtime_lock_active(resolved_lock_path)
-    if not lock_active:
+    record = _read_pid_record(resolved_pid_path)
+    if not record:
         _cleanup_invalid_pid_path(resolved_pid_path, cleanup_stale=cleanup_stale)
         return None
 
-    primary_record = _read_pid_record(resolved_pid_path)
-    fallback_record = _read_gateway_lock_record(resolved_lock_path)
+    try:
+        pid = int(record["pid"])
+    except (KeyError, TypeError, ValueError):
+        _cleanup_invalid_pid_path(resolved_pid_path, cleanup_stale=cleanup_stale)
+        return None
 
-    for record in (primary_record, fallback_record):
-        pid = _pid_from_record(record)
-        if pid is None:
-            continue
+    try:
+        os.kill(pid, 0)  # signal 0 = existence check, no actual signal sent
+    except (ProcessLookupError, PermissionError):
+        _cleanup_invalid_pid_path(resolved_pid_path, cleanup_stale=cleanup_stale)
+        return None
 
-        try:
-            os.kill(pid, 0)  # signal 0 = existence check, no actual signal sent
-        except ProcessLookupError:
-            continue
-        except PermissionError:
-            # The process exists but belongs to another user/service scope.
-            # With the runtime lock still held, prefer keeping it visible
-            # rather than deleting the PID file as "stale".
-            if _record_looks_like_gateway(record):
-                return pid
-            continue
-        except OSError:
-            # Windows raises OSError with WinError 87 for an invalid pid
-            # (process is definitely gone). Treat as "process doesn't exist".
-            continue
+    recorded_start = record.get("start_time")
+    current_start = _get_process_start_time(pid)
+    if recorded_start is not None and current_start is not None and current_start != recorded_start:
+        _cleanup_invalid_pid_path(resolved_pid_path, cleanup_stale=cleanup_stale)
+        return None
 
-        recorded_start = record.get("start_time")
-        current_start = _get_process_start_time(pid)
-        if recorded_start is not None and current_start is not None and current_start != recorded_start:
-            continue
+    if not _looks_like_gateway_process(pid):
+        if not _record_looks_like_gateway(record):
+            _cleanup_invalid_pid_path(resolved_pid_path, cleanup_stale=cleanup_stale)
+            return None
 
-        if _looks_like_gateway_process(pid) or _record_looks_like_gateway(record):
-            return pid
-
-    _cleanup_invalid_pid_path(resolved_pid_path, cleanup_stale=cleanup_stale)
-    return None
+    return pid
 
 
 def is_gateway_running(

gateway/stream_consumer.py

@@ -44,14 +44,6 @@ class StreamConsumerConfig:
     buffer_threshold: int = 40
     cursor: str = " ▉"
     buffer_only: bool = False
-    # When >0, the final edit for a streamed response is delivered as a
-    # fresh message if the original preview has been visible for at least
-    # this many seconds.  This makes the platform's visible timestamp
-    # reflect completion time instead of first-token time for long-running
-    # responses (e.g. reasoning models that stream slowly).  Ported from
-    # openclaw/openclaw#72038.  Default 0 = always edit in place (legacy
-    # behavior).  The gateway enables this selectively per-platform.
-    fresh_final_after_seconds: float = 0.0
 
 
 class GatewayStreamConsumer:
@@ -99,12 +91,6 @@ class GatewayStreamConsumer:
         self._queue: queue.Queue = queue.Queue()
         self._accumulated = ""
         self._message_id: Optional[str] = None
-        # Wall-clock timestamp (time.monotonic) when ``_message_id`` was
-        # first assigned from a successful first-send.  Used by the
-        # fresh-final logic to detect long-lived previews whose edit
-        # timestamps would be stale by completion time.  Ported from
-        # openclaw/openclaw#72038.
-        self._message_created_ts: Optional[float] = None
         self._already_sent = False
         self._edit_supported = True  # Disabled when progressive edits are no longer usable
         self._last_edit_time = 0.0
@@ -150,7 +136,6 @@ class GatewayStreamConsumer:
         if preserve_no_edit and self._message_id == "__no_edit__":
             return
         self._message_id = None
-        self._message_created_ts = None
         self._accumulated = ""
         self._last_sent_text = ""
         self._fallback_final_send = False
@@ -749,81 +734,6 @@ class GatewayStreamConsumer:
             logger.error("Commentary send error: %s", e)
             return False
 
-    def _should_send_fresh_final(self) -> bool:
-        """Return True when a long-lived preview should be replaced with a
-        fresh final message instead of an edit.
-
-        Conditions:
-        - Fresh-final is enabled (``fresh_final_after_seconds > 0``).
-        - We have a real preview message id (not the ``__no_edit__`` sentinel
-          and not ``None``).
-        - The preview has been visible for at least the configured threshold.
-
-        Ported from openclaw/openclaw#72038.
-        """
-        threshold = getattr(self.cfg, "fresh_final_after_seconds", 0.0) or 0.0
-        if threshold <= 0:
-            return False
-        if not self._message_id or self._message_id == "__no_edit__":
-            return False
-        if self._message_created_ts is None:
-            return False
-        age = time.monotonic() - self._message_created_ts
-        return age >= threshold
-
-    async def _try_fresh_final(self, text: str) -> bool:
-        """Send ``text`` as a brand-new message (best-effort delete the old
-        preview) so the platform's visible timestamp reflects completion
-        time.  Returns True on successful delivery, False on any failure so
-        the caller falls back to the normal edit path.
-
-        Ported from openclaw/openclaw#72038.
-        """
-        old_message_id = self._message_id
-        try:
-            result = await self.adapter.send(
-                chat_id=self.chat_id,
-                content=text,
-                metadata=self.metadata,
-            )
-        except Exception as e:
-            logger.debug("Fresh-final send failed, falling back to edit: %s", e)
-            return False
-        if not getattr(result, "success", False):
-            return False
-        # Successful fresh send — try to delete the stale preview so the
-        # user doesn't see the old edit-stuck message underneath.  Cleanup
-        # is best-effort; platforms that don't implement ``delete_message``
-        # just leave the preview behind (still an acceptable outcome —
-        # the visible final timestamp is the important part).
-        if old_message_id and old_message_id != "__no_edit__":
-            delete_fn = getattr(self.adapter, "delete_message", None)
-            if delete_fn is not None:
-                try:
-                    await delete_fn(self.chat_id, old_message_id)
-                except Exception as e:
-                    logger.debug(
-                        "Fresh-final preview cleanup failed (%s): %s",
-                        old_message_id, e,
-                    )
-        # Adopt the new message id as the current message so subsequent
-        # callers (e.g. overflow split loops, finalize retries) see a
-        # consistent state.
-        new_message_id = getattr(result, "message_id", None)
-        if new_message_id:
-            self._message_id = new_message_id
-            self._message_created_ts = time.monotonic()
-        else:
-            # Send succeeded but platform didn't return an id — treat the
-            # delivery as final-only and fall back to "__no_edit__" so we
-            # don't try to edit something we can't address.
-            self._message_id = "__no_edit__"
-            self._message_created_ts = None
-        self._already_sent = True
-        self._last_sent_text = text
-        self._final_response_sent = True
-        return True
-
     async def _send_or_edit(self, text: str, *, finalize: bool = False) -> bool:
         """Send or edit the streaming message.
 
@@ -876,22 +786,6 @@ class GatewayStreamConsumer:
                         finalize and self._adapter_requires_finalize
                     ):
                         return True
-                    # Fresh-final for long-lived previews: when finalizing
-                    # the last edit in a streaming sequence, if the
-                    # original preview has been visible for at least
-                    # ``fresh_final_after_seconds``, send the completed
-                    # reply as a fresh message so the platform's visible
-                    # timestamp reflects completion time instead of the
-                    # preview creation time.  Best-effort cleanup of the
-                    # old preview follows.  Ported from
-                    # openclaw/openclaw#72038.  Gated by config so the
-                    # legacy edit-in-place path stays the default.
-                    if (
-                        finalize
-                        and self._should_send_fresh_final()
-                        and await self._try_fresh_final(text)
-                    ):
-                        return True
                     # Edit existing message
                     result = await self.adapter.edit_message(
                         chat_id=self.chat_id,
@@ -958,10 +852,6 @@ class GatewayStreamConsumer:
                 if result.success:
                     if result.message_id:
                         self._message_id = result.message_id
-                        # Track when the preview first became visible to
-                        # the user so fresh-final logic can detect stale
-                        # preview timestamps on long-running responses.
-                        self._message_created_ts = time.monotonic()
                     else:
                         self._edit_supported = False
                     self._already_sent = True

gateway/whatsapp_identity.py

@@ -1,155 +0,0 @@
-"""Shared helpers for canonicalising WhatsApp sender identity.
-
-WhatsApp's bridge can surface the same human under two different JID shapes
-within a single conversation:
-
-- LID form: ``999999999999999@lid``
-- Phone form: ``15551234567@s.whatsapp.net``
-
-Both the authorisation path (:mod:`gateway.run`) and the session-key path
-(:mod:`gateway.session`) need to collapse these aliases to a single stable
-identity. This module is the single source of truth for that resolution so
-the two paths can never drift apart.
-
-Public helpers:
-
-- :func:`normalize_whatsapp_identifier` — strip JID/LID/device/plus syntax
-  down to the bare numeric identifier.
-- :func:`canonical_whatsapp_identifier` — walk the bridge's
-  ``lid-mapping-*.json`` files and return a stable canonical identity
-  across phone/LID variants.
-- :func:`expand_whatsapp_aliases` — return the full alias set for an
-  identifier. Used by authorisation code that needs to match any known
-  form of a sender against an allow-list.
-
-Plugins that need per-sender behaviour on WhatsApp (role-based routing,
-per-contact authorisation, policy gating in a gateway hook) should use
-``canonical_whatsapp_identifier`` so their bookkeeping lines up with
-Hermes' own session keys.
-"""
-
-from __future__ import annotations
-
-import json
-import logging
-import re
-from typing import Set
-
-logger = logging.getLogger(__name__)
-
-# WhatsApp JIDs are numeric (or plus-prefixed numeric) with optional
-# ``@``, ``.`` and ``:`` separators. ``\w`` is pinned to ASCII so
-# full-width digits / Unicode word chars can't sneak through.
-_SAFE_IDENTIFIER_RE = re.compile(r"^[A-Za-z0-9@.+\-]+$")
-
-from hermes_constants import get_hermes_home
-
-
-def normalize_whatsapp_identifier(value: str) -> str:
-    """Strip WhatsApp JID/LID syntax down to its stable numeric identifier.
-
-    Accepts any of the identifier shapes the WhatsApp bridge may emit:
-    ``"60123456789@s.whatsapp.net"``, ``"60123456789:47@s.whatsapp.net"``,
-    ``"60123456789@lid"``, or a bare ``"+601****6789"`` / ``"60123456789"``.
-    Returns just the numeric identifier (``"60123456789"``) suitable for
-    equality comparisons.
-
-    Useful for plugins that want to match sender IDs against
-    user-supplied config (phone numbers in ``config.yaml``) without
-    worrying about which variant the bridge happens to deliver.
-    """
-    return (
-        str(value or "")
-        .strip()
-        .replace("+", "", 1)
-        .split(":", 1)[0]
-        .split("@", 1)[0]
-    )
-
-
-def expand_whatsapp_aliases(identifier: str) -> Set[str]:
-    """Resolve WhatsApp phone/LID aliases via bridge session mapping files.
-
-    Returns the set of all identifiers transitively reachable through the
-    bridge's ``$HERMES_HOME/whatsapp/session/lid-mapping-*.json`` files,
-    starting from ``identifier``. The result always includes the
-    normalized input itself, so callers can safely ``in`` check against
-    the return value without a separate fallback branch.
-
-    Returns an empty set if ``identifier`` normalizes to empty.
-    """
-    normalized = normalize_whatsapp_identifier(identifier)
-    if not normalized:
-        return set()
-
-    session_dir = get_hermes_home() / "whatsapp" / "session"
-    resolved: Set[str] = set()
-    queue = [normalized]
-
-    while queue:
-        current = queue.pop(0)
-        if not current or current in resolved:
-            continue
-        # Defense-in-depth: reject identifiers that could sneak path
-        # separators / traversal segments into the ``lid-mapping-{current}``
-        # filename below. The hardcoded ``lid-mapping-`` prefix already
-        # prevents escape via pathlib's component split (an attacker can't
-        # create ``lid-mapping-..`` as a real directory in session_dir), but
-        # this keeps the identifier space to the characters WhatsApp JIDs
-        # actually use and avoids depending on that filesystem-layout
-        # invariant.
-        if not _SAFE_IDENTIFIER_RE.match(current):
-            continue
-
-        resolved.add(current)
-        for suffix in ("", "_reverse"):
-            mapping_path = session_dir / f"lid-mapping-{current}{suffix}.json"
-            if not mapping_path.exists():
-                continue
-            try:
-                mapped = normalize_whatsapp_identifier(
-                    json.loads(mapping_path.read_text(encoding="utf-8"))
-                )
-            except (OSError, json.JSONDecodeError) as exc:
-                logger.debug("whatsapp_identity: failed to read %s: %s", mapping_path, exc)
-                continue
-            if mapped and mapped not in resolved:
-                queue.append(mapped)
-
-    return resolved
-
-
-def canonical_whatsapp_identifier(identifier: str) -> str:
-    """Return a stable WhatsApp sender identity across phone-JID/LID variants.
-
-    WhatsApp may surface the same person under either a phone-format JID
-    (``60123456789@s.whatsapp.net``) or a LID (``1234567890@lid``). This
-    applies to a DM ``chat_id`` *and* to the ``participant_id`` of a
-    member inside a group chat — both represent a user identity, and the
-    bridge may flip between the two for the same human.
-
-    This helper reads the bridge's ``whatsapp/session/lid-mapping-*.json``
-    files, walks the mapping transitively, and picks the shortest
-    (numeric-preferred) alias as the canonical identity.
-    :func:`gateway.session.build_session_key` uses this for both WhatsApp
-    DM chat_ids and WhatsApp group participant_ids, so callers get the
-    same session-key identity Hermes itself uses.
-
-    Plugins that need per-sender behaviour (role-based routing,
-    authorisation, per-contact policy) should use this so their
-    bookkeeping lines up with Hermes' session bookkeeping even when
-    the bridge reshuffles aliases.
-
-    Returns an empty string if ``identifier`` normalizes to empty. If no
-    mapping files exist yet (fresh bridge install), returns the
-    normalized input unchanged.
-    """
-    normalized = normalize_whatsapp_identifier(identifier)
-    if not normalized:
-        return ""
-
-    # expand_whatsapp_aliases always includes `normalized` itself in the
-    # returned set, so the min() below degrades gracefully to `normalized`
-    # when no lid-mapping files are present.
-    aliases = expand_whatsapp_aliases(normalized)
-    return min(aliases, key=lambda candidate: (len(candidate), candidate))

hermes_cli/__init__.py

@@ -11,5 +11,5 @@ Provides subcommands for:
 - hermes cron          - Manage cron jobs
 """
 
-__version__ = "0.11.0"
-__release_date__ = "2026.4.23"
+__version__ = "0.10.0"
+__release_date__ = "2026.4.16"

hermes_cli/auth_commands.py

@@ -110,40 +110,18 @@ def _display_source(source: str) -> str:
     return source.split(":", 1)[1] if source.startswith("manual:") else source
 
 
-def _classify_exhausted_status(entry) -> tuple[str, bool]:
-    code = getattr(entry, "last_error_code", None)
-    reason = str(getattr(entry, "last_error_reason", "") or "").strip().lower()
-    message = str(getattr(entry, "last_error_message", "") or "").strip().lower()
-
-    if code == 429 or any(token in reason for token in ("rate_limit", "usage_limit", "quota", "exhausted")) or any(
-        token in message for token in ("rate limit", "usage limit", "quota", "too many requests")
-    ):
-        return "rate-limited", True
-
-    if code in {401, 403} or any(token in reason for token in ("invalid_token", "invalid_grant", "unauthorized", "forbidden", "auth")) or any(
-        token in message for token in ("unauthorized", "forbidden", "expired", "revoked", "invalid token", "authentication")
-    ):
-        return "auth failed", False
-
-    return "exhausted", True
-
-
-
 def _format_exhausted_status(entry) -> str:
     if entry.last_status != STATUS_EXHAUSTED:
         return ""
-    label, show_retry_window = _classify_exhausted_status(entry)
     reason = getattr(entry, "last_error_reason", None)
     reason_text = f" {reason}" if isinstance(reason, str) and reason.strip() else ""
     code = f" ({entry.last_error_code})" if entry.last_error_code else ""
-    if not show_retry_window:
-        return f" {label}{reason_text}{code} (re-auth may be required)"
     exhausted_until = _exhausted_until(entry)
     if exhausted_until is None:
-        return f" {label}{reason_text}{code}"
+        return f" exhausted{reason_text}{code}"
     remaining = max(0, int(math.ceil(exhausted_until - time.time())))
     if remaining <= 0:
-        return f" {label}{reason_text}{code} (ready to retry)"
+        return f" exhausted{reason_text}{code} (ready to retry)"
     minutes, seconds = divmod(remaining, 60)
     hours, minutes = divmod(minutes, 60)
     days, hours = divmod(hours, 24)
@@ -155,7 +133,7 @@ def _format_exhausted_status(entry) -> str:
         wait = f"{minutes}m {seconds}s"
     else:
         wait = f"{seconds}s"
-    return f" {label}{reason_text}{code} ({wait} left)"
+    return f" exhausted{reason_text}{code} ({wait} left)"
 
 
 def auth_add_command(args) -> None:
@@ -408,44 +386,6 @@ def auth_reset_command(args) -> None:
     print(f"Reset status on {count} {provider} credentials")
 
 
-def auth_status_command(args) -> None:
-    provider = _normalize_provider(getattr(args, "provider", "") or "")
-    if not provider:
-        raise SystemExit("Provider is required. Example: `hermes auth status spotify`.")
-    status = auth_mod.get_auth_status(provider)
-    if not status.get("logged_in"):
-        reason = status.get("error")
-        if reason:
-            print(f"{provider}: logged out ({reason})")
-        else:
-            print(f"{provider}: logged out")
-        return
-
-    print(f"{provider}: logged in")
-    for key in ("auth_type", "client_id", "redirect_uri", "scope", "expires_at", "api_base_url"):
-        value = status.get(key)
-        if value:
-            print(f"  {key}: {value}")
-
-
-def auth_logout_command(args) -> None:
-    auth_mod.logout_command(SimpleNamespace(provider=getattr(args, "provider", None)))
-
-
-def auth_spotify_command(args) -> None:
-    action = str(getattr(args, "spotify_action", "") or "login").strip().lower()
-    if action in {"", "login"}:
-        auth_mod.login_spotify_command(args)
-        return
-    if action == "status":
-        auth_status_command(SimpleNamespace(provider="spotify"))
-        return
-    if action == "logout":
-        auth_logout_command(SimpleNamespace(provider="spotify"))
-        return
-    raise SystemExit(f"Unknown Spotify auth action: {action}")
-
-
 def _interactive_auth() -> None:
     """Interactive credential pool management when `hermes auth` is called bare."""
     # Show current pool status first
@@ -643,14 +583,5 @@ def auth_command(args) -> None:
     if action == "reset":
         auth_reset_command(args)
         return
-    if action == "status":
-        auth_status_command(args)
-        return
-    if action == "logout":
-        auth_logout_command(args)
-        return
-    if action == "spotify":
-        auth_spotify_command(args)
-        return
     # No subcommand — launch interactive mode
     _interactive_auth()

hermes_cli/azure_detect.py

@@ -1,300 +0,0 @@
-"""Azure Foundry endpoint auto-detection.
-
-Inspect an Azure AI Foundry / Azure OpenAI endpoint to determine:
-  - API transport (OpenAI-style ``chat_completions`` vs
-    Anthropic-style ``anthropic_messages``)
-  - Available models (best effort — Azure does not expose a deployment
-    listing via the inference API key, but Azure OpenAI v1 endpoints
-    return the resource's model catalog via ``GET /models``)
-  - Context length for each discovered/entered model, via the existing
-    :func:`agent.model_metadata.get_model_context_length` resolver.
-
-Rationale:
-
-Azure has no pure-API-key deployment-listing endpoint — per Microsoft,
-deployment enumeration requires ARM management-plane auth.  Azure
-OpenAI v1 endpoints ``{resource}.openai.azure.com/openai/v1`` do return
-a ``/models`` list, but it reflects the resource's *available* models
-rather than the user's *deployed* deployment names.  In practice it is
-still a useful hint — the user picks a familiar model name and we look
-up its context length from the catalog.
-
-The detector never crashes on errors (every HTTP call is wrapped in a
-broad try/except).  Callers get a :class:`DetectionResult` with whatever
-information could be gathered, and fall back to manual entry for the
-rest.
-"""
-
-from __future__ import annotations
-
-import json
-import logging
-import re
-from dataclasses import dataclass, field
-from typing import Optional
-from urllib import request as urllib_request
-from urllib.error import HTTPError, URLError
-from urllib.parse import urlparse, urlunparse
-
-logger = logging.getLogger(__name__)
-
-
-# Default Azure OpenAI ``api-version`` to probe with.  The v1 GA endpoint
-# accepts requests without ``api-version`` entirely, so this is only used
-# as a fallback for pre-v1 resources that still require it.
-_AZURE_OPENAI_PROBE_API_VERSIONS = (
-    "2025-04-01-preview",
-    "2024-10-21",  # oldest GA that supports /models
-)
-
-# Default Azure Anthropic ``api-version``.  Matches the value used by
-# ``agent/anthropic_adapter.py`` when building the Anthropic client.
-_AZURE_ANTHROPIC_API_VERSION = "2025-04-15"
-
-
-@dataclass
-class DetectionResult:
-    """Everything auto-detection could gather from a base URL + API key."""
-
-    #: Detected API transport: ``"chat_completions"``,
-    #: ``"anthropic_messages"``, or ``None`` when detection failed.
-    api_mode: Optional[str] = None
-
-    #: Deployment / model IDs returned by ``/models`` (best effort).
-    #: Empty when the endpoint doesn't expose the list with an API key.
-    models: list[str] = field(default_factory=list)
-
-    #: Lowercased host from the base URL (used for display messages).
-    hostname: str = ""
-
-    #: Human-readable reason the detector chose ``api_mode``.  Useful
-    #: for explaining auto-detection to the user in the wizard.
-    reason: str = ""
-
-    #: ``True`` when ``/models`` returned a valid OpenAI-shaped payload.
-    models_probe_ok: bool = False
-
-    #: ``True`` when the URL was determined to be an Anthropic-style
-    #: endpoint (from path suffix or live probe).
-    is_anthropic: bool = False
-
-
-def _http_get_json(url: str, api_key: str, timeout: float = 6.0) -> tuple[int, Optional[dict]]:
-    """GET a URL with ``api-key`` + ``Authorization`` headers.  Return
-    ``(status_code, parsed_json_or_None)``.  Never raises."""
-    req = urllib_request.Request(url, method="GET")
-    # Azure OpenAI uses ``api-key``.  Some Azure deployments (and
-    # Anthropic-style routes) use ``Authorization: Bearer``.  Send both
-    # so we probe once per URL rather than twice.
-    req.add_header("api-key", api_key)
-    req.add_header("Authorization", f"Bearer {api_key}")
-    req.add_header("User-Agent", "hermes-agent/azure-detect")
-    try:
-        with urllib_request.urlopen(req, timeout=timeout) as resp:
-            body = resp.read()
-            try:
-                return resp.status, json.loads(body.decode("utf-8", errors="replace"))
-            except Exception:
-                return resp.status, None
-    except HTTPError as exc:
-        return exc.code, None
-    except (URLError, TimeoutError, OSError) as exc:
-        logger.debug("azure_detect: GET %s failed: %s", url, exc)
-        return 0, None
-    except Exception as exc:  # pragma: no cover — defensive
-        logger.debug("azure_detect: GET %s unexpected error: %s", url, exc)
-        return 0, None
-
-
-def _strip_trailing_v1(url: str) -> str:
-    """Strip trailing ``/v1`` or ``/v1/`` so we can construct sub-paths."""
-    return re.sub(r"/v1/?$", "", url.rstrip("/"))
-
-
-def _looks_like_anthropic_path(url: str) -> bool:
-    """Return True when the URL's path ends in ``/anthropic`` or
-    contains a ``/anthropic/`` segment.  Used by Azure Foundry
-    resources that route Claude traffic through a dedicated path."""
-    try:
-        parsed = urlparse(url)
-        path = (parsed.path or "").lower().rstrip("/")
-        return path.endswith("/anthropic") or "/anthropic/" in path + "/"
-    except Exception:
-        return False
-
-
-def _extract_model_ids(payload: dict) -> list[str]:
-    """Extract a list of model IDs from an OpenAI-shaped ``/models``
-    response.  Returns ``[]`` on any shape mismatch."""
-    data = payload.get("data") if isinstance(payload, dict) else None
-    if not isinstance(data, list):
-        return []
-    ids: list[str] = []
-    for item in data:
-        if not isinstance(item, dict):
-            continue
-        # OpenAI shape: {"id": "gpt-5.4", "object": "model", ...}
-        mid = item.get("id") or item.get("model") or item.get("name")
-        if isinstance(mid, str) and mid:
-            ids.append(mid)
-    return ids
-
-
-def _probe_openai_models(base_url: str, api_key: str) -> tuple[bool, list[str]]:
-    """Probe ``<base>/models`` for an OpenAI-shaped response.
-
-    Returns ``(ok, models)``.  ``ok`` is True iff the endpoint accepted
-    us as an OpenAI-style caller (200 OK + OpenAI-shaped JSON body).
-    """
-    base_url = base_url.rstrip("/")
-
-    # Azure OpenAI v1: {resource}.openai.azure.com/openai/v1 — no
-    # api-version required for GA paths, so probe without first.
-    candidates = [f"{base_url}/models"]
-    # Fallback: explicit api-version for pre-v1 resources
-    for v in _AZURE_OPENAI_PROBE_API_VERSIONS:
-        candidates.append(f"{base_url}/models?api-version={v}")
-
-    for url in candidates:
-        status, body = _http_get_json(url, api_key)
-        if status == 200 and body is not None:
-            ids = _extract_model_ids(body)
-            if ids:
-                logger.info(
-                    "azure_detect: /models probe OK at %s (%d models)",
-                    url, len(ids),
-                )
-                return True, ids
-            # 200 + empty list still counts as "OpenAI shape, no models
-            # listed" — let the user proceed with manual entry.
-            if isinstance(body, dict) and "data" in body:
-                return True, []
-    return False, []
-
-
-def _probe_anthropic_messages(base_url: str, api_key: str) -> bool:
-    """Send a zero-token request to ``<base>/v1/messages`` and check
-    whether the endpoint at least *recognises* the Anthropic Messages
-    shape (any 4xx that mentions ``messages`` or ``model``, or a 400
-    ``invalid_request`` with an Anthropic error shape).  Never completes
-    a real chat.
-    """
-    base = _strip_trailing_v1(base_url)
-    url = f"{base}/v1/messages?api-version={_AZURE_ANTHROPIC_API_VERSION}"
-    payload = json.dumps({
-        "model": "probe",
-        "max_tokens": 1,
-        "messages": [{"role": "user", "content": "ping"}],
-    }).encode("utf-8")
-    req = urllib_request.Request(url, method="POST", data=payload)
-    req.add_header("api-key", api_key)
-    req.add_header("Authorization", f"Bearer {api_key}")
-    req.add_header("anthropic-version", "2023-06-01")
-    req.add_header("content-type", "application/json")
-    req.add_header("User-Agent", "hermes-agent/azure-detect")
-    try:
-        with urllib_request.urlopen(req, timeout=6.0) as resp:
-            # Should never 200 — "probe" isn't a real deployment.  But
-            # if it does, the endpoint definitely speaks Anthropic.
-            return resp.status < 500
-    except HTTPError as exc:
-        # 4xx with an Anthropic-shaped error body = Anthropic endpoint.
-        try:
-            body = exc.read().decode("utf-8", errors="replace")
-            lowered = body.lower()
-            if "anthropic" in lowered or '"type"' in lowered and '"error"' in lowered:
-                return True
-            # Pre-Azure-v1 Azure Foundry returns a plain 404 for
-            # Anthropic-style calls on non-Anthropic deployments.  A
-            # 400 "model not found" IS Anthropic though.
-            if exc.code == 400 and ("messages" in lowered or "model" in lowered):
-                return True
-            return False
-        except Exception:
-            return False
-    except (URLError, TimeoutError, OSError):
-        return False
-    except Exception:  # pragma: no cover
-        return False
-
-
-def detect(base_url: str, api_key: str) -> DetectionResult:
-    """Inspect an Azure endpoint and describe its transport + models.
-
-    Call this from the wizard before asking the user to pick an API
-    mode manually.  The caller should treat the returned
-    :class:`DetectionResult` as *advisory* — if ``api_mode`` is None,
-    fall back to asking the user.
-    """
-    result = DetectionResult()
-
-    try:
-        parsed = urlparse(base_url)
-        result.hostname = (parsed.hostname or "").lower()
-    except Exception:
-        result.hostname = ""
-
-    # 1. Path sniff.  Azure Foundry exposes Anthropic-style deployments
-    #    under a dedicated ``/anthropic`` path.
-    if _looks_like_anthropic_path(base_url):
-        result.is_anthropic = True
-        result.api_mode = "anthropic_messages"
-        result.reason = "URL path ends in /anthropic → Anthropic Messages API"
-        return result
-
-    # 2. Try the OpenAI-style /models probe.  If this works, the
-    #    endpoint definitely speaks OpenAI wire.
-    ok, models = _probe_openai_models(base_url, api_key)
-    if ok:
-        result.models_probe_ok = True
-        result.models = models
-        result.api_mode = "chat_completions"
-        result.reason = (
-            f"GET /models returned {len(models)} model(s) — OpenAI-style endpoint"
-            if models
-            else "GET /models returned an OpenAI-shaped empty list — OpenAI-style endpoint"
-        )
-        return result
-
-    # 3. Fallback: probe the Anthropic Messages shape.  Slower and more
-    #    intrusive than /models, so only run it when the OpenAI probe
-    #    failed.
-    if _probe_anthropic_messages(base_url, api_key):
-        result.is_anthropic = True
-        result.api_mode = "anthropic_messages"
-        result.reason = "Endpoint accepts Anthropic Messages shape"
-        return result
-
-    # Nothing matched.  Caller falls back to manual selection.
-    result.reason = (
-        "Could not probe endpoint (private network, missing model list, or "
-        "non-standard path) — falling back to manual API-mode selection"
-    )
-    return result
-
-
-def lookup_context_length(model: str, base_url: str, api_key: str) -> Optional[int]:
-    """Thin wrapper around :func:`agent.model_metadata.get_model_context_length`
-    that returns ``None`` when only the fallback default (128k) would
-    fire, so the wizard can distinguish "we actually know this" from
-    "we guessed."""
-    try:
-        from agent.model_metadata import (
-            DEFAULT_FALLBACK_CONTEXT,
-            get_model_context_length,
-        )
-    except Exception:
-        return None
-
-    try:
-        n = get_model_context_length(model, base_url=base_url, api_key=api_key)
-    except Exception as exc:
-        logger.debug("azure_detect: context length lookup failed: %s", exc)
-        return None
-
-    if isinstance(n, int) and n > 0 and n != DEFAULT_FALLBACK_CONTEXT:
-        return n
-    return None
-
-
-__all__ = ["DetectionResult", "detect", "lookup_context_length"]

hermes_cli/banner.py

@@ -238,52 +238,6 @@ def get_git_banner_state(repo_dir: Optional[Path] = None) -> Optional[dict]:
     return {"upstream": upstream, "local": local, "ahead": max(ahead, 0)}
 
 
-_RELEASE_URL_BASE = "https://github.com/NousResearch/hermes-agent/releases/tag"
-_latest_release_cache: Optional[tuple] = None  # (tag, url) once resolved
-
-
-def get_latest_release_tag(repo_dir: Optional[Path] = None) -> Optional[tuple]:
-    """Return ``(tag, release_url)`` for the latest git tag, or None.
-
-    Local-only — runs ``git describe --tags --abbrev=0`` against the
-    Hermes checkout. Cached per-process. Release URL always points at the
-    canonical NousResearch/hermes-agent repo (forks don't get a link).
-    """
-    global _latest_release_cache
-    if _latest_release_cache is not None:
-        return _latest_release_cache or None
-
-    repo_dir = repo_dir or _resolve_repo_dir()
-    if repo_dir is None:
-        _latest_release_cache = ()  # falsy sentinel — skip future lookups
-        return None
-
-    try:
-        result = subprocess.run(
-            ["git", "describe", "--tags", "--abbrev=0"],
-            capture_output=True,
-            text=True,
-            timeout=3,
-            cwd=str(repo_dir),
-        )
-    except Exception:
-        _latest_release_cache = ()
-        return None
-
-    if result.returncode != 0:
-        _latest_release_cache = ()
-        return None
-
-    tag = (result.stdout or "").strip()
-    if not tag:
-        _latest_release_cache = ()
-        return None
-
-    url = f"{_RELEASE_URL_BASE}/{tag}"
-    _latest_release_cache = (tag, url)
-    return _latest_release_cache
-
-
 def format_banner_version_label() -> str:
     """Return the version label shown in the startup banner title."""
     base = f"Hermes Agent v{VERSION} ({RELEASE_DATE})"
@@ -565,16 +519,9 @@ def build_welcome_banner(console: Console, model: str, cwd: str,
     agent_name = _skin_branding("agent_name", "Hermes Agent")
     title_color = _skin_color("banner_title", "#FFD700")
     border_color = _skin_color("banner_border", "#CD7F32")
-    version_label = format_banner_version_label()
-    release_info = get_latest_release_tag()
-    if release_info:
-        _tag, _url = release_info
-        title_markup = f"[bold {title_color}][link={_url}]{version_label}[/link][/]"
-    else:
-        title_markup = f"[bold {title_color}]{version_label}[/]"
     outer_panel = Panel(
         layout_table,
-        title=title_markup,
+        title=f"[bold {title_color}]{format_banner_version_label()}[/]",
         border_style=border_color,
         padding=(0, 2),
     )

hermes_cli/claw.py

@@ -249,7 +249,7 @@ def _scan_workspace_state(source_dir: Path) -> list[tuple[Path, str]]:
             state_path = child / state_name
             if state_path.exists():
                 kind = "directory" if state_path.is_dir() else "file"
-                rel = state_path.relative_to(source_dir).as_posix()
+                rel = state_path.relative_to(source_dir)
                 findings.append((state_path, f"Workspace {kind}: {rel}"))
 
     return findings

hermes_cli/codex_models.py

@@ -12,7 +12,6 @@ import os
 logger = logging.getLogger(__name__)
 
 DEFAULT_CODEX_MODELS: List[str] = [
-    "gpt-5.5",
     "gpt-5.4-mini",
     "gpt-5.4",
     "gpt-5.3-codex",
@@ -22,7 +21,6 @@ DEFAULT_CODEX_MODELS: List[str] = [
 ]
 
 _FORWARD_COMPAT_TEMPLATE_MODELS: List[tuple[str, tuple[str, ...]]] = [
-    ("gpt-5.5", ("gpt-5.4", "gpt-5.4-mini", "gpt-5.3-codex")),
     ("gpt-5.4-mini", ("gpt-5.3-codex", "gpt-5.2-codex")),
     ("gpt-5.4", ("gpt-5.3-codex", "gpt-5.2-codex")),
     ("gpt-5.3-codex", ("gpt-5.2-codex",)),

hermes_cli/commands.py

@@ -77,14 +77,16 @@ COMMAND_REGISTRY: list[CommandDef] = [
     CommandDef("rollback", "List or restore filesystem checkpoints", "Session",
                args_hint="[number]"),
     CommandDef("snapshot", "Create or restore state snapshots of Hermes config/state", "Session",
-               cli_only=True, aliases=("snap",), args_hint="[create|restore <id>|prune]"),
+               aliases=("snap",), args_hint="[create|restore <id>|prune]"),
     CommandDef("stop", "Kill all running background processes", "Session"),
     CommandDef("approve", "Approve a pending dangerous command", "Session",
                gateway_only=True, args_hint="[session|always]"),
     CommandDef("deny", "Deny a pending dangerous command", "Session",
                gateway_only=True),
     CommandDef("background", "Run a prompt in the background", "Session",
-               aliases=("bg", "btw"), args_hint="<prompt>"),
+               aliases=("bg",), args_hint="<prompt>"),
+    CommandDef("btw", "Ephemeral side question using session context (no tools, not persisted)", "Session",
+               args_hint="<question>"),
     CommandDef("agents", "Show active agents and running tasks", "Session",
                aliases=("tasks",)),
     CommandDef("queue", "Queue a prompt for the next turn (doesn't interrupt)", "Session",
@@ -101,10 +103,10 @@ COMMAND_REGISTRY: list[CommandDef] = [
     # Configuration
     CommandDef("config", "Show current configuration", "Configuration",
                cli_only=True),
-    CommandDef("model", "Switch model for this session", "Configuration",
-               aliases=("provider",), args_hint="[model] [--provider name] [--global]"),
-    CommandDef("gquota", "Show Google Gemini Code Assist quota usage", "Info",
-               cli_only=True),
+    CommandDef("model", "Switch model for this session", "Configuration", args_hint="[model] [--provider name] [--global]"),
+    CommandDef("provider", "Show available providers and current provider",
+               "Configuration"),
+    CommandDef("gquota", "Show Google Gemini Code Assist quota usage", "Info"),
 
     CommandDef("personality", "Set a predefined personality", "Configuration",
                args_hint="[name]"),
@@ -122,12 +124,9 @@ COMMAND_REGISTRY: list[CommandDef] = [
                args_hint="[normal|fast|status]",
                subcommands=("normal", "fast", "status", "on", "off")),
     CommandDef("skin", "Show or change the display skin/theme", "Configuration",
-               cli_only=True, args_hint="[name]"),
+               args_hint="[name]"),
     CommandDef("voice", "Toggle voice mode", "Configuration",
                args_hint="[on|off|tts|status]", subcommands=("on", "off", "tts", "status")),
-    CommandDef("busy", "Control what Enter does while Hermes is working", "Configuration",
-               cli_only=True, args_hint="[queue|steer|interrupt|status]",
-               subcommands=("queue", "steer", "interrupt", "status")),
 
     # Tools & Skills
     CommandDef("tools", "Manage tools: /tools [list|disable|enable] [name...]", "Tools & Skills",
@@ -140,8 +139,7 @@ COMMAND_REGISTRY: list[CommandDef] = [
     CommandDef("cron", "Manage scheduled tasks", "Tools & Skills",
                cli_only=True, args_hint="[subcommand]",
                subcommands=("list", "add", "create", "edit", "pause", "resume", "run", "remove")),
-    CommandDef("reload", "Reload .env variables into the running session", "Tools & Skills",
-               cli_only=True),
+    CommandDef("reload", "Reload .env variables into the running session", "Tools & Skills"),
     CommandDef("reload-mcp", "Reload MCP servers from config", "Tools & Skills",
                aliases=("reload_mcp",)),
     CommandDef("browser", "Connect browser tools to your live Chrome via CDP", "Tools & Skills",
@@ -262,26 +260,6 @@ GATEWAY_KNOWN_COMMANDS: frozenset[str] = frozenset(
 )
 
 
-def is_gateway_known_command(name: str | None) -> bool:
-    """Return True if ``name`` resolves to a gateway-dispatchable slash command.
-
-    This covers both built-in commands (``GATEWAY_KNOWN_COMMANDS`` derived
-    from ``COMMAND_REGISTRY``) and plugin-registered commands, which are
-    looked up lazily so importing this module never forces plugin
-    discovery. Gateway code uses this to decide whether to emit
-    ``command:<name>`` hooks — plugin commands get the same lifecycle
-    events as built-ins.
-    """
-    if not name:
-        return False
-    if name in GATEWAY_KNOWN_COMMANDS:
-        return True
-    for plugin_name, _description, _args_hint in _iter_plugin_command_entries():
-        if plugin_name == name:
-            return True
-    return False
-
-
 # Commands with explicit Level-2 running-agent handlers in gateway/run.py.
 # Listed here for introspection / tests; semantically a subset of
 # "all resolvable commands" — which is the real bypass set (see
@@ -319,7 +297,7 @@ def should_bypass_active_session(command_name: str | None) -> bool:
     safety net in gateway.run discards any command text that reaches
     the pending queue — which meant a mid-run /model (or /reasoning,
     /voice, /insights, /title, /resume, /retry, /undo, /compress,
-    /usage, /reload-mcp, /sethome, /reset) would silently
+    /usage, /provider, /reload-mcp, /sethome, /reset) would silently
     interrupt the agent AND get discarded, producing a zero-char
     response. See issue #5057 / PRs #6252, #10370, #4665.
 
@@ -393,47 +371,12 @@ def gateway_help_lines() -> list[str]:
     return lines
 
 
-def _iter_plugin_command_entries() -> list[tuple[str, str, str]]:
-    """Yield (name, description, args_hint) tuples for all plugin slash commands.
-
-    Plugin commands are registered via
-    :func:`hermes_cli.plugins.PluginContext.register_command`. They behave
-    like ``CommandDef`` entries for gateway surfacing: they appear in the
-    Telegram command menu, in Slack's ``/hermes`` subcommand mapping, and
-    (via :func:`gateway.platforms.discord._register_slash_commands`) in
-    Discord's native slash command picker.
-
-    Lookup is lazy so importing this module never forces plugin discovery
-    (which can trigger filesystem scans and environment-dependent
-    behavior).
-    """
-    try:
-        from hermes_cli.plugins import get_plugin_commands
-    except Exception:
-        return []
-    try:
-        commands = get_plugin_commands() or {}
-    except Exception:
-        return []
-    entries: list[tuple[str, str, str]] = []
-    for name, meta in commands.items():
-        if not isinstance(name, str) or not isinstance(meta, dict):
-            continue
-        description = str(meta.get("description") or f"Run /{name}")
-        args_hint = str(meta.get("args_hint") or "").strip()
-        entries.append((name, description, args_hint))
-    return entries
-
-
 def telegram_bot_commands() -> list[tuple[str, str]]:
     """Return (command_name, description) pairs for Telegram setMyCommands.
 
     Telegram command names cannot contain hyphens, so they are replaced with
     underscores.  Aliases are skipped -- Telegram shows one menu entry per
     canonical command.
-
-    Plugin-registered slash commands are included so plugins get native
-    autocomplete in Telegram without touching core code.
     """
     overrides = _resolve_config_gates()
     result: list[tuple[str, str]] = []
@@ -443,10 +386,6 @@ def telegram_bot_commands() -> list[tuple[str, str]]:
         tg_name = _sanitize_telegram_name(cmd.name)
         if tg_name:
             result.append((tg_name, cmd.description))
-    for name, description, _args_hint in _iter_plugin_command_entries():
-        tg_name = _sanitize_telegram_name(name)
-        if tg_name:
-            result.append((tg_name, description))
     return result
 
 
@@ -806,122 +745,11 @@ def discord_skill_commands_by_category(
     return trimmed_categories, uncategorized, hidden
 
 
-# ---------------------------------------------------------------------------
-# Slack native slash commands
-# ---------------------------------------------------------------------------
-
-# Slack slash command name constraints: lowercase a-z, 0-9, hyphens,
-# underscores. Max 32 chars. Slack app manifest accepts up to 50 slash
-# commands per app.
-_SLACK_MAX_SLASH_COMMANDS = 50
-_SLACK_NAME_LIMIT = 32
-_SLACK_INVALID_CHARS = re.compile(r"[^a-z0-9_\-]")
-
-
-def _sanitize_slack_name(raw: str) -> str:
-    """Convert a command name to a valid Slack slash command name.
-
-    Slack allows lowercase a-z, digits, hyphens, and underscores. Max 32
-    chars. Uppercase is lowercased; invalid chars are stripped.
-    """
-    name = raw.lower()
-    name = _SLACK_INVALID_CHARS.sub("", name)
-    name = name.strip("-_")
-    return name[:_SLACK_NAME_LIMIT]
-
-
-def slack_native_slashes() -> list[tuple[str, str, str]]:
-    """Return (slash_name, description, usage_hint) triples for Slack.
-
-    Every gateway-available command in ``COMMAND_REGISTRY`` is surfaced as
-    a standalone Slack slash command (e.g. ``/btw``, ``/stop``, ``/model``),
-    matching Discord's and Telegram's model where every command is a
-    first-class slash and not a ``/hermes <verb>`` subcommand.
-
-    Both canonical names and aliases are included so users can type any
-    documented form (e.g. ``/background``, ``/bg``, and ``/btw`` all work).
-    Plugin-registered slash commands are included too.
-
-    Results are clamped to Slack's 50-command limit with duplicate-name
-    avoidance. ``/hermes`` is always reserved as the first entry so the
-    legacy ``/hermes <subcommand>`` form keeps working for anything that
-    gets dropped by the clamp or for free-form questions.
-    """
-    overrides = _resolve_config_gates()
-    entries: list[tuple[str, str, str]] = []
-    seen: set[str] = set()
-
-    # Reserve /hermes as the catch-all top-level command.
-    entries.append(("hermes", "Talk to Hermes or run a subcommand", "[subcommand] [args]"))
-    seen.add("hermes")
-
-    def _add(name: str, desc: str, hint: str) -> None:
-        slack_name = _sanitize_slack_name(name)
-        if not slack_name or slack_name in seen:
-            return
-        if len(entries) >= _SLACK_MAX_SLASH_COMMANDS:
-            return
-        # Slack description cap is 2000 chars; keep it short.
-        entries.append((slack_name, desc[:140], hint[:100]))
-        seen.add(slack_name)
-
-    # First pass: canonical names (so they win slots if we hit the cap).
-    for cmd in COMMAND_REGISTRY:
-        if not _is_gateway_available(cmd, overrides):
-            continue
-        _add(cmd.name, cmd.description, cmd.args_hint or "")
-
-    # Second pass: aliases.
-    for cmd in COMMAND_REGISTRY:
-        if not _is_gateway_available(cmd, overrides):
-            continue
-        for alias in cmd.aliases:
-            # Skip aliases that only differ from canonical by case/punctuation
-            # normalization (already covered by _add dedup).
-            _add(alias, f"Alias for /{cmd.name} — {cmd.description}", cmd.args_hint or "")
-
-    # Third pass: plugin commands.
-    for name, description, args_hint in _iter_plugin_command_entries():
-        _add(name, description, args_hint or "")
-
-    return entries
-
-
-def slack_app_manifest(request_url: str = "https://hermes-agent.local/slack/commands") -> dict[str, Any]:
-    """Generate a Slack app manifest with all gateway commands as slashes.
-
-    ``request_url`` is required by Slack's manifest schema for every slash
-    command, but in Socket Mode (which we use) Slack ignores it and routes
-    the command event through the WebSocket. A placeholder URL is fine.
-
-    The returned dict is the ``features.slash_commands`` portion only —
-    callers compose it into a full manifest (or merge into an existing
-    one). Keeping it narrow avoids coupling us to the rest of the manifest
-    schema (display_information, oauth_config, settings, etc.) which users
-    set up once in the Slack UI and rarely change.
-    """
-    slashes = []
-    for name, desc, usage in slack_native_slashes():
-        entry = {
-            "command": f"/{name}",
-            "description": desc or f"Run /{name}",
-            "should_escape": False,
-            "url": request_url,
-        }
-        if usage:
-            entry["usage_hint"] = usage
-        slashes.append(entry)
-    return {"features": {"slash_commands": slashes}}
-
-
 def slack_subcommand_map() -> dict[str, str]:
     """Return subcommand -> /command mapping for Slack /hermes handler.
 
     Maps both canonical names and aliases so /hermes bg do stuff works
     the same as /hermes background do stuff.
-
-    Plugin-registered slash commands are included so ``/hermes <plugin-cmd>``
-    routes through the plugin handler.
     """
     overrides = _resolve_config_gates()
     mapping: dict[str, str] = {}
@@ -931,9 +759,6 @@ def slack_subcommand_map() -> dict[str, str]:
         mapping[cmd.name] = f"/{cmd.name}"
         for alias in cmd.aliases:
             mapping[alias] = f"/{alias}"
-    for name, _description, _args_hint in _iter_plugin_command_entries():
-        if name not in mapping:
-            mapping[name] = f"/{name}"
     return mapping
 
 
@@ -1099,22 +924,12 @@ class SlashCommandCompleter(Completer):
                     display_meta=meta,
                 )
 
-        # If the user typed @file: / @folder: (or just @file / @folder with
-        # no colon yet), delegate to path completions.  Accepting the bare
-        # form lets the picker surface directories as soon as the user has
-        # typed `@folder`, without requiring them to first accept the static
-        # `@folder:` hint and re-trigger completion.
+        # If the user typed @file: or @folder:, delegate to path completions
         for prefix in ("@file:", "@folder:"):
-            bare = prefix[:-1]
-
-            if word == bare or word.startswith(prefix):
-                want_dir = prefix == "@folder:"
-                path_part = '' if word == bare else word[len(prefix):]
+            if word.startswith(prefix):
+                path_part = word[len(prefix):] or "."
                 expanded = os.path.expanduser(path_part)
-
-                if not expanded or expanded == ".":
-                    search_dir, match_prefix = ".", ""
-                elif expanded.endswith("/"):
+                if expanded.endswith("/"):
                     search_dir, match_prefix = expanded, ""
                 else:
                     search_dir = os.path.dirname(expanded) or "."
@@ -1130,21 +945,15 @@ class SlashCommandCompleter(Completer):
                 for entry in sorted(entries):
                     if match_prefix and not entry.lower().startswith(prefix_lower):
                         continue
-                    full_path = os.path.join(search_dir, entry)
-                    is_dir = os.path.isdir(full_path)
-                    # `@folder:` must only surface directories; `@file:` only
-                    # regular files.  Without this filter `@folder:` listed
-                    # every .env / .gitignore in the cwd, defeating the
-                    # explicit prefix and confusing users expecting a
-                    # directory picker.
-                    if want_dir != is_dir:
-                        continue
                     if count >= limit:
                         break
+                    full_path = os.path.join(search_dir, entry)
+                    is_dir = os.path.isdir(full_path)
                     display_path = os.path.relpath(full_path)
                     suffix = "/" if is_dir else ""
+                    kind = "folder" if is_dir else "file"
                     meta = "dir" if is_dir else _file_size_label(full_path)
-                    completion = f"{prefix}{display_path}{suffix}"
+                    completion = f"@{kind}:{display_path}{suffix}"
                     yield Completion(
                         completion,
                         start_position=-len(word),

hermes_cli/config.py

@@ -361,15 +361,6 @@ DEFAULT_CONFIG = {
         # to finish, then interrupts any remaining runs after the timeout.
         # 0 = no drain, interrupt immediately.
         "restart_drain_timeout": 60,
-        # Max app-level retry attempts for API errors (connection drops,
-        # provider timeouts, 5xx, etc.) before the agent surfaces the
-        # failure.  The OpenAI SDK already does its own low-level retries
-        # (max_retries=2 default) for transient network errors; this is
-        # the Hermes-level retry loop that wraps the whole call.  Lower
-        # this to 1 if you use fallback providers and want fast failover
-        # on flaky primaries; raise it if you prefer to tolerate longer
-        # provider hiccups on a single provider.
-        "api_max_retries": 3,
         "service_tier": "",
         # Tool-use enforcement: injects system prompt guidance that tells the
         # model to actually call tools instead of describing intended actions.
@@ -384,11 +375,7 @@ DEFAULT_CONFIG = {
         # Periodic "still working" notification interval (seconds).
         # Sends a status message every N seconds so the user knows the
         # agent hasn't died during long tasks.  0 = disable notifications.
-        # Lower values mean faster feedback on slow tasks but more chat
-        # noise; 180s is a compromise that catches spinning weak-model runs
-        # (60+ tool iterations with tiny output) before users assume the
-        # bot is dead and /restart.
-        "gateway_notify_interval": 180,
+        "gateway_notify_interval": 600,
     },
     
     "terminal": {
@@ -407,23 +394,17 @@ DEFAULT_CONFIG = {
         # (bash doesn't source bashrc in non-interactive login mode) or
         # zsh-specific files like ``~/.zshrc`` / ``~/.zprofile``.
         # Paths support ``~`` / ``${VAR}``. Missing files are silently
-        # skipped. When empty, Hermes auto-sources ``~/.profile``,
-        # ``~/.bash_profile``, and ``~/.bashrc`` (in that order) if the
+        # skipped. When empty, Hermes auto-appends ``~/.bashrc`` if the
         # snapshot shell is bash (this is the ``auto_source_bashrc``
         # behaviour — disable with that key if you want strict login-only
         # semantics).
         "shell_init_files": [],
-        # When true (default), Hermes sources the user's shell rc files
-        # (``~/.profile``, ``~/.bash_profile``, ``~/.bashrc``) in the
-        # login shell used to build the environment snapshot. This
-        # captures PATH additions, shell functions, and aliases — which a
-        # plain ``bash -l -c`` would otherwise miss because bash skips
-        # bashrc in non-interactive login mode, and because a default
-        # Debian/Ubuntu ``~/.bashrc`` short-circuits on non-interactive
-        # sources. ``~/.profile`` and ``~/.bash_profile`` are tried first
-        # because ``n`` / ``nvm`` / ``asdf`` installers typically write
-        # their PATH exports there without an interactivity guard. Turn
-        # this off if your rc files misbehave when sourced
+        # When true (default), Hermes sources ``~/.bashrc`` in the login
+        # shell used to build the environment snapshot.  This captures
+        # PATH additions, shell functions, and aliases defined in the
+        # user's bashrc — which a plain ``bash -l -c`` would otherwise
+        # miss because bash skips bashrc in non-interactive login mode.
+        # Turn this off if you have a bashrc that misbehaves when sourced
         # non-interactively (e.g. one that hard-exits on TTY checks).
         "auto_source_bashrc": True,
         "docker_image": "nikolaik/python-nodejs:python3.11-nodejs20",
@@ -465,14 +446,7 @@ DEFAULT_CONFIG = {
         "command_timeout": 30,  # Timeout for browser commands in seconds (screenshot, navigate, etc.)
         "record_sessions": False,  # Auto-record browser sessions as WebM videos
         "allow_private_urls": False,  # Allow navigating to private/internal IPs (localhost, 192.168.x.x, etc.)
-        "auto_local_for_private_urls": True,  # When a cloud provider is set, auto-spawn local Chromium for LAN/localhost URLs instead of sending them to the cloud
         "cdp_url": "",  # Optional persistent CDP endpoint for attaching to an existing Chromium/Chrome
-        # CDP supervisor — dialog + frame detection via a persistent WebSocket.
-        # Active only when a CDP-capable backend is attached (Browserbase or
-        # local Chrome via /browser connect). See
-        # website/docs/developer-guide/browser-supervisor.md.
-        "dialog_policy": "must_respond",  # must_respond | auto_dismiss | auto_accept
-        "dialog_timeout_s": 300,  # Safety auto-dismiss after N seconds under must_respond
         "camofox": {
             # When true, Hermes sends a stable profile-scoped userId to Camofox
             # so the server maps it to a persistent Firefox profile automatically.
@@ -487,46 +461,13 @@ DEFAULT_CONFIG = {
     "checkpoints": {
         "enabled": True,
         "max_snapshots": 50,  # Max checkpoints to keep per directory
-        # Auto-maintenance: shadow repos accumulate forever under
-        # ~/.hermes/checkpoints/ (one per cd'd working directory). Field
-        # reports put the typical offender at 1000+ repos / ~12 GB. When
-        # auto_prune is on, hermes sweeps at startup (at most once per
-        # min_interval_hours) and deletes:
-        #   * orphan repos: HERMES_WORKDIR no longer exists on disk
-        #   * stale repos:  newest mtime older than retention_days
-        # Opt-in so users who rely on /rollback against long-ago sessions
-        # never lose data silently.
-        "auto_prune": False,
-        "retention_days": 7,
-        "delete_orphans": True,
-        "min_interval_hours": 24,
     },
 
     # Maximum characters returned by a single read_file call.  Reads that
     # exceed this are rejected with guidance to use offset+limit.
     # 100K chars ≈ 25–35K tokens across typical tokenisers.
     "file_read_max_chars": 100_000,
-
-    # Tool-output truncation thresholds. When terminal output or a
-    # single read_file page exceeds these limits, Hermes truncates the
-    # payload sent to the model (keeping head + tail for terminal,
-    # enforcing pagination for read_file). Tuning these trades context
-    # footprint against how much raw output the model can see in one
-    # shot. Ported from anomalyco/opencode PR #23770.
-    #
-    # - max_bytes:       terminal_tool output cap, in chars
-    #                    (default 50_000 ≈ 12-15K tokens).
-    # - max_lines:       read_file pagination cap — the maximum `limit`
-    #                    a single read_file call can request before
-    #                    being clamped (default 2000).
-    # - max_line_length: per-line cap applied when read_file emits a
-    #                    line-numbered view (default 2000 chars).
-    "tool_output": {
-        "max_bytes": 50_000,
-        "max_lines": 2000,
-        "max_line_length": 2000,
-    },
-
+    
     "compression": {
         "enabled": True,
         "threshold": 0.50,            # compress when context usage exceeds this ratio
@@ -535,12 +476,6 @@ DEFAULT_CONFIG = {
 
     },
 
-    # Anthropic prompt caching (Claude via OpenRouter or native Anthropic API).
-    # cache_ttl must be "5m" or "1h" (Anthropic-supported tiers); other values are ignored.
-    "prompt_caching": {
-        "cache_ttl": "5m",
-    },
-
     # AWS Bedrock provider configuration.
     # Only used when model.provider is "bedrock".
     "bedrock": {
@@ -626,6 +561,14 @@ DEFAULT_CONFIG = {
             "timeout": 30,
             "extra_body": {},
         },
+        "flush_memories": {
+            "provider": "auto",
+            "model": "",
+            "base_url": "",
+            "api_key": "",
+            "timeout": 30,
+            "extra_body": {},
+        },
         "title_generation": {
             "provider": "auto",
             "model": "",
@@ -640,7 +583,7 @@ DEFAULT_CONFIG = {
         "compact": False,
         "personality": "kawaii",
         "resume_display": "full",
-        "busy_input_mode": "interrupt",  # interrupt | queue | steer
+        "busy_input_mode": "interrupt",
         "bell_on_complete": False,
         "show_reasoning": False,
         "streaming": False,
@@ -670,10 +613,6 @@ DEFAULT_CONFIG = {
     },
     
     # Text-to-speech configuration
-    # Each provider supports an optional `max_text_length:` override for the
-    # per-request input-character cap. Omit it to use the provider's documented
-    # limit (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k model-aware,
-    # Gemini 5000, Edge 5000, Mistral 4000, NeuTTS/KittenTTS 2000).
     "tts": {
         "provider": "edge",  # "edge" (free) | "elevenlabs" (premium) | "openai" | "xai" | "minimax" | "mistral" | "neutts" (local)
         "edge": {
@@ -769,35 +708,10 @@ DEFAULT_CONFIG = {
         "provider": "",    # e.g. "openrouter" (empty = inherit parent provider + credentials)
         "base_url": "",    # direct OpenAI-compatible endpoint for subagents
         "api_key": "",     # API key for delegation.base_url (falls back to OPENAI_API_KEY)
-        # When delegate_task narrows child toolsets explicitly, preserve any
-        # MCP toolsets the parent already has enabled. On by default so
-        # narrowing (e.g. toolsets=["web","browser"]) expresses "I want these
-        # extras" without silently stripping MCP tools the parent already has.
-        # Set to false for strict intersection.
-        "inherit_mcp_toolsets": True,
         "max_iterations": 50,  # per-subagent iteration cap (each subagent gets its own budget,
                                # independent of the parent's max_iterations)
-        "child_timeout_seconds": 600,  # wall-clock timeout for each child agent (floor 30s,
-                                       # no ceiling). High-reasoning models on large tasks
-                                       # (e.g. gpt-5.5 xhigh, opus-4.6) need generous budgets;
-                                       # raise if children time out before producing output.
         "reasoning_effort": "",  # reasoning effort for subagents: "xhigh", "high", "medium",
                                  # "low", "minimal", "none" (empty = inherit parent's level)
-        "max_concurrent_children": 3,  # max parallel children per batch; floor of 1 enforced, no ceiling
-        # Orchestrator role controls (see tools/delegate_tool.py:_get_max_spawn_depth
-        # and _get_orchestrator_enabled).  Values are clamped to [1, 3] with a
-        # warning log if out of range.
-        "max_spawn_depth": 1,        # depth cap (1 = flat [default], 2 = orchestrator→leaf, 3 = three-level)
-        "orchestrator_enabled": True,  # kill switch for role="orchestrator"
-        # When a subagent hits a dangerous-command approval prompt, the parent's
-        # prompt_toolkit TUI owns stdin — a thread-local input() call from the
-        # subagent worker would deadlock the parent UI. To avoid the deadlock,
-        # subagent threads ALWAYS resolve approvals non-interactively:
-        #   false (default) → auto-deny with a logger.warning audit line (safe)
-        #   true             → auto-approve "once" with a logger.warning audit line
-        # Flip to true only if you trust delegated work to run dangerous cmds
-        # without human review (cron pipelines, batch automation, etc.).
-        "subagent_auto_approve": False,
     },
 
     # Ephemeral prefill messages file — JSON list of {role, content} dicts
@@ -824,17 +738,6 @@ DEFAULT_CONFIG = {
         "inline_shell": False,
         # Timeout (seconds) for each !`cmd` snippet when inline_shell is on.
         "inline_shell_timeout": 10,
-        # Run the keyword/pattern security scanner on skills the agent
-        # writes via skill_manage (create/edit/patch).  Off by default
-        # because the agent can already execute the same code paths via
-        # terminal() with no gate, so the scan adds friction (blocks
-        # skills that mention risky keywords in prose) without meaningful
-        # security.  Turn on if you want the belt-and-suspenders — a
-        # dangerous verdict will then surface as a tool error to the
-        # agent, which can retry with the flagged content removed.
-        # External hub installs (trusted/community sources) are always
-        # scanned regardless of this setting.
-        "guard_agent_created": False,
     },
 
     # Honcho AI-native memory -- reads ~/.honcho/config.json as single source of truth.
@@ -854,7 +757,7 @@ DEFAULT_CONFIG = {
         "auto_thread": True,           # Auto-create threads on @mention in channels (like Slack)
         "reactions": True,             # Add 👀/✅/❌ reactions to messages during processing
         "channel_prompts": {},         # Per-channel ephemeral system prompts (forum parents apply to child threads)
-        # discord / discord_admin tools: restrict which actions the agent may call.
+        # discord_server tool: restrict which actions the agent may call.
         # Default (empty) = all actions allowed (subject to bot privileged intents).
         # Accepts comma-separated string ("list_guilds,list_channels,fetch_messages")
         # or YAML list. Unknown names are dropped with a warning at load time.
@@ -927,7 +830,6 @@ DEFAULT_CONFIG = {
 
     # Pre-exec security scanning via tirith
     "security": {
-        "allow_private_urls": False,  # Allow requests to private/internal IPs (for OpenWrt, proxies, VPNs)
         "redact_secrets": True,
         "tirith_enabled": True,
         "tirith_path": "tirith",
@@ -973,27 +875,6 @@ DEFAULT_CONFIG = {
         "backup_count": 3,     # Number of rotated backup files to keep
     },
 
-    # Remotely-hosted model catalog manifest.  When enabled, the CLI fetches
-    # curated model lists for OpenRouter and Nous Portal from this URL,
-    # falling back to the in-repo snapshot on network failure.  Lets us
-    # update model picker lists without shipping a hermes-agent release.
-    # The default URL is served by the docs site GitHub Pages deploy.
-    "model_catalog": {
-        "enabled": True,
-        "url": "https://hermes-agent.nousresearch.com/docs/api/model-catalog.json",
-        # Disk cache TTL in hours.  Beyond this, the CLI refetches on the
-        # next /model or `hermes model` invocation; network failures
-        # silently fall back to the stale cache.
-        "ttl_hours": 24,
-        # Optional per-provider override URLs for third parties that want
-        # to self-host their own curation list using the same schema.
-        # Example:
-        #   providers:
-        #     openrouter:
-        #       url: https://example.com/my-curation.json
-        "providers": {},
-    },
-
     # Network settings — workarounds for connectivity issues.
     "network": {
         # Force IPv4 connections.  On servers with broken or unreachable IPv6,
@@ -1002,41 +883,6 @@ DEFAULT_CONFIG = {
         "force_ipv4": False,
     },
 
-    # Session storage — controls automatic cleanup of ~/.hermes/state.db.
-    # state.db accumulates every session, message, tool call, and FTS5 index
-    # entry forever.  Without auto-pruning, a heavy user (gateway + cron)
-    # reports 384MB+ databases with 68K+ messages, which slows down FTS5
-    # inserts, /resume listing, and insights queries.
-    "sessions": {
-        # When true, prune ended sessions older than retention_days once
-        # per (roughly) min_interval_hours at CLI/gateway/cron startup.
-        # Only touches ended sessions — active sessions are always preserved.
-        # Default false: session history is valuable for search recall, and
-        # silently deleting it could surprise users.  Opt in explicitly.
-        "auto_prune": False,
-        # How many days of ended-session history to keep.  Matches the
-        # default of ``hermes sessions prune``.
-        "retention_days": 90,
-        # VACUUM after a prune that actually deleted rows.  SQLite does not
-        # reclaim disk space on DELETE — freed pages are just reused on
-        # subsequent INSERTs — so without VACUUM the file stays bloated
-        # even after pruning.  VACUUM blocks writes for a few seconds per
-        # 100MB, so it only runs at startup, and only when prune deleted
-        # ≥1 session.
-        "vacuum_after_prune": True,
-        # Minimum hours between auto-maintenance runs (avoids repeating
-        # the sweep on every CLI invocation).  Tracked via state_meta in
-        # state.db itself, so it's shared across all processes.
-        "min_interval_hours": 24,
-    },
-
-    # Contextual first-touch onboarding hints (see agent/onboarding.py).
-    # Each hint is shown once per install and then latched here so it
-    # never fires again.  Users can wipe the section to re-see all hints.
-    "onboarding": {
-        "seen": {},
-    },
-
     # Config schema version - bump this when adding new required fields
     "_config_version": 22,
 }
@@ -1194,22 +1040,6 @@ OPTIONAL_ENV_VARS = {
         "category": "provider",
         "advanced": True,
     },
-    "STEPFUN_API_KEY": {
-        "description": "StepFun Step Plan API key",
-        "prompt": "StepFun Step Plan API key",
-        "url": "https://platform.stepfun.com/",
-        "password": True,
-        "category": "provider",
-        "advanced": True,
-    },
-    "STEPFUN_BASE_URL": {
-        "description": "StepFun Step Plan base URL override",
-        "prompt": "StepFun Step Plan base URL (leave empty for default)",
-        "url": None,
-        "password": False,
-        "category": "provider",
-        "advanced": True,
-    },
     "ARCEEAI_API_KEY": {
         "description": "Arcee AI API key",
         "prompt": "Arcee AI API key",
@@ -1383,7 +1213,7 @@ OPTIONAL_ENV_VARS = {
         "advanced": True,
     },
     "XIAOMI_API_KEY": {
-        "description": "Xiaomi MiMo API key for MiMo models (mimo-v2.5-pro, mimo-v2.5, mimo-v2-pro, mimo-v2-omni, mimo-v2-flash)",
+        "description": "Xiaomi MiMo API key for MiMo models (mimo-v2-pro, mimo-v2-omni, mimo-v2-flash)",
         "prompt": "Xiaomi MiMo API Key",
         "url": "https://platform.xiaomimimo.com",
         "password": True,
@@ -1413,21 +1243,6 @@ OPTIONAL_ENV_VARS = {
         "category": "provider",
         "advanced": True,
     },
-    "AZURE_FOUNDRY_API_KEY": {
-        "description": "Azure Foundry API key for custom Azure endpoints",
-        "prompt": "Azure Foundry API Key",
-        "url": "https://ai.azure.com/",
-        "password": True,
-        "category": "provider",
-    },
-    "AZURE_FOUNDRY_BASE_URL": {
-        "description": "Azure Foundry base URL (set via 'hermes model' for endpoint-specific config)",
-        "prompt": "Azure Foundry base URL",
-        "url": None,
-        "password": False,
-        "category": "provider",
-        "advanced": True,
-    },
 
     # ── Tool API keys ──
     "EXA_API_KEY": {
@@ -1595,44 +1410,6 @@ OPTIONAL_ENV_VARS = {
         "category": "tool",
     },
 
-    # ── Bundled skills (opt-in: only needed if the user uses that skill) ──
-    # These use category="skill" (distinct from "tool") so the sandbox
-    # env blocklist in tools/environments/local.py does NOT rewrite them —
-    # skills legitimately need these passed through to curl via
-    # tools/env_passthrough.py when the user's skill calls out.
-    "NOTION_API_KEY": {
-        "description": "Notion integration token (used by the `notion` skill)",
-        "prompt": "Notion API key",
-        "url": "https://www.notion.so/my-integrations",
-        "password": True,
-        "category": "skill",
-        "advanced": True,
-    },
-    "LINEAR_API_KEY": {
-        "description": "Linear personal API key (used by the `linear` skill)",
-        "prompt": "Linear API key",
-        "url": "https://linear.app/settings/api",
-        "password": True,
-        "category": "skill",
-        "advanced": True,
-    },
-    "AIRTABLE_API_KEY": {
-        "description": "Airtable personal access token (used by the `airtable` skill)",
-        "prompt": "Airtable API key",
-        "url": "https://airtable.com/create/tokens",
-        "password": True,
-        "category": "skill",
-        "advanced": True,
-    },
-    "TENOR_API_KEY": {
-        "description": "Tenor API key for GIF search (used by the `gif-search` skill)",
-        "prompt": "Tenor API key",
-        "url": "https://developers.google.com/tenor/guides/quickstart",
-        "password": True,
-        "category": "skill",
-        "advanced": True,
-    },
-
     # ── Honcho ──
     "HONCHO_API_KEY": {
         "description": "Honcho API key for AI-native persistent memory",
@@ -2217,14 +1994,6 @@ def _normalize_custom_provider_entry(
     models = entry.get("models")
     if isinstance(models, dict) and models:
         normalized["models"] = models
-    elif isinstance(models, list) and models:
-        # Hand-edited configs (and older Hermes versions) write ``models`` as
-        # a plain list of model ids. Preserve them by converting to the dict
-        # shape downstream code expects; otherwise normalize silently drops
-        # the list and /model shows the provider with (0) models.
-        normalized["models"] = {
-            str(m): {} for m in models if isinstance(m, str) and m.strip()
-        }
 
     context_length = entry.get("context_length")
     if isinstance(context_length, int) and context_length > 0:
@@ -2301,71 +2070,6 @@ def get_compatible_custom_providers(
     return compatible
 
 
-def get_custom_provider_context_length(
-    model: str,
-    base_url: str,
-    custom_providers: Optional[List[Dict[str, Any]]] = None,
-    config: Optional[Dict[str, Any]] = None,
-) -> Optional[int]:
-    """Look up a per-model ``context_length`` override from ``custom_providers``.
-
-    Matches any entry whose ``base_url`` equals ``base_url`` (trailing-slash
-    insensitive) and returns ``custom_providers[i].models.<model>.context_length``
-    if present and valid.  Returns ``None`` when no override applies.
-
-    This is the single source of truth for custom-provider context overrides,
-    used by:
-      * ``AIAgent.__init__`` (startup resolution)
-      * ``AIAgent.switch_model`` (mid-session ``/model`` switch)
-      * ``hermes_cli.model_switch.resolve_display_context_length`` (``/model`` confirmation display)
-      * ``gateway.run._format_session_info`` (``/info`` display)
-      * ``agent.model_metadata.get_model_context_length`` (when custom_providers is threaded through)
-
-    Before this helper existed, the lookup was duplicated in ``run_agent.py``'s
-    startup path only; every other path (notably ``/model`` switch) fell back
-    to the 128K default.  See #15779.
-    """
-    if not model or not base_url:
-        return None
-    if custom_providers is None:
-        try:
-            custom_providers = get_compatible_custom_providers(config)
-        except Exception:
-            if config is None:
-                return None
-            raw = config.get("custom_providers")
-            custom_providers = raw if isinstance(raw, list) else []
-    if not isinstance(custom_providers, list):
-        return None
-
-    target_url = (base_url or "").rstrip("/")
-    if not target_url:
-        return None
-
-    for entry in custom_providers:
-        if not isinstance(entry, dict):
-            continue
-        entry_url = (entry.get("base_url") or "").rstrip("/")
-        if not entry_url or entry_url != target_url:
-            continue
-        models = entry.get("models")
-        if not isinstance(models, dict):
-            continue
-        model_cfg = models.get(model)
-        if not isinstance(model_cfg, dict):
-            continue
-        raw_ctx = model_cfg.get("context_length")
-        if raw_ctx is None:
-            continue
-        try:
-            ctx = int(raw_ctx)
-        except (TypeError, ValueError):
-            continue
-        if ctx > 0:
-            return ctx
-    return None
-
-
 def check_config_version() -> Tuple[int, int]:
     """
     Check config version.
@@ -2388,7 +2092,6 @@ _KNOWN_ROOT_KEYS = {
     "fallback_providers", "credential_pool_strategies", "toolsets",
     "agent", "terminal", "display", "compression", "delegation",
     "auxiliary", "custom_providers", "context", "memory", "gateway",
-    "sessions",
 }
 
 # Valid fields inside a custom_providers list entry
@@ -3404,7 +3107,7 @@ def save_config(config: Dict[str, Any]):
     if not sec or sec.get("redact_secrets") is None:
         parts.append(_SECURITY_COMMENT)
     fb = normalized.get("fallback_model", {})
-    if not fb or not isinstance(fb, dict) or not (fb.get("provider") and fb.get("model")):
+    if not fb or not (fb.get("provider") and fb.get("model")):
         parts.append(_FALLBACK_COMMENT)
 
     atomic_yaml_write(

hermes_cli/copilot_auth.py

@@ -275,99 +275,6 @@ def copilot_device_code_login(
     return None
 
 
-# ─── Copilot Token Exchange ────────────────────────────────────────────────
-
-# Module-level cache for exchanged Copilot API tokens.
-# Maps raw_token_fingerprint -> (api_token, expires_at_epoch).
-_jwt_cache: dict[str, tuple[str, float]] = {}
-_JWT_REFRESH_MARGIN_SECONDS = 120  # refresh 2 min before expiry
-
-# Token exchange endpoint and headers (matching VS Code / Copilot CLI)
-_TOKEN_EXCHANGE_URL = "https://api.github.com/copilot_internal/v2/token"
-_EDITOR_VERSION = "vscode/1.104.1"
-_EXCHANGE_USER_AGENT = "GitHubCopilotChat/0.26.7"
-
-
-def _token_fingerprint(raw_token: str) -> str:
-    """Short fingerprint of a raw token for cache keying (avoids storing full token)."""
-    import hashlib
-    return hashlib.sha256(raw_token.encode()).hexdigest()[:16]
-
-
-def exchange_copilot_token(raw_token: str, *, timeout: float = 10.0) -> tuple[str, float]:
-    """Exchange a raw GitHub token for a short-lived Copilot API token.
-
-    Calls ``GET https://api.github.com/copilot_internal/v2/token`` with
-    the raw GitHub token and returns ``(api_token, expires_at)``.
-
-    The returned token is a semicolon-separated string (not a standard JWT)
-    used as ``Authorization: Bearer <token>`` for Copilot API requests.
-
-    Results are cached in-process and reused until close to expiry.
-    Raises ``ValueError`` on failure.
-    """
-    import urllib.request
-
-    fp = _token_fingerprint(raw_token)
-
-    # Check cache first
-    cached = _jwt_cache.get(fp)
-    if cached:
-        api_token, expires_at = cached
-        if time.time() < expires_at - _JWT_REFRESH_MARGIN_SECONDS:
-            return api_token, expires_at
-
-    req = urllib.request.Request(
-        _TOKEN_EXCHANGE_URL,
-        method="GET",
-        headers={
-            "Authorization": f"token {raw_token}",
-            "User-Agent": _EXCHANGE_USER_AGENT,
-            "Accept": "application/json",
-            "Editor-Version": _EDITOR_VERSION,
-        },
-    )
-
-    try:
-        with urllib.request.urlopen(req, timeout=timeout) as resp:
-            data = json.loads(resp.read().decode())
-    except Exception as exc:
-        raise ValueError(f"Copilot token exchange failed: {exc}") from exc
-
-    api_token = data.get("token", "")
-    expires_at = data.get("expires_at", 0)
-    if not api_token:
-        raise ValueError("Copilot token exchange returned empty token")
-
-    # Convert expires_at to float if needed
-    expires_at = float(expires_at) if expires_at else time.time() + 1800
-
-    _jwt_cache[fp] = (api_token, expires_at)
-    logger.debug(
-        "Copilot token exchanged, expires_at=%s",
-        expires_at,
-    )
-    return api_token, expires_at
-
-
-def get_copilot_api_token(raw_token: str) -> str:
-    """Exchange a raw GitHub token for a Copilot API token, with fallback.
-
-    Convenience wrapper: returns the exchanged token on success, or the
-    raw token unchanged if the exchange fails (e.g. network error, unsupported
-    account type). This preserves existing behaviour for accounts that don't
-    need exchange while enabling access to internal-only models for those that do.
-    """
-    if not raw_token:
-        return raw_token
-    try:
-        api_token, _ = exchange_copilot_token(raw_token)
-        return api_token
-    except Exception as exc:
-        logger.debug("Copilot token exchange failed, using raw token: %s", exc)
-        return raw_token
-
-
 # ─── Copilot API Headers ───────────────────────────────────────────────────
 
 def copilot_request_headers(

hermes_cli/cron.py

@@ -93,9 +93,6 @@ def cron_list(show_all: bool = False):
         script = job.get("script")
         if script:
             print(f"    Script:    {script}")
-        workdir = job.get("workdir")
-        if workdir:
-            print(f"    Workdir:   {workdir}")
 
         # Execution history
         last_status = job.get("last_status")
@@ -171,7 +168,6 @@ def cron_create(args):
         skill=getattr(args, "skill", None),
         skills=_normalize_skills(getattr(args, "skill", None), getattr(args, "skills", None)),
         script=getattr(args, "script", None),
-        workdir=getattr(args, "workdir", None),
     )
     if not result.get("success"):
         print(color(f"Failed to create job: {result.get('error', 'unknown error')}", Colors.RED))
@@ -184,8 +180,6 @@ def cron_create(args):
     job_data = result.get("job", {})
     if job_data.get("script"):
         print(f"  Script: {job_data['script']}")
-    if job_data.get("workdir"):
-        print(f"  Workdir: {job_data['workdir']}")
     print(f"  Next run: {result['next_run_at']}")
     return 0
 
@@ -224,7 +218,6 @@ def cron_edit(args):
         repeat=getattr(args, "repeat", None),
         skills=final_skills,
         script=getattr(args, "script", None),
-        workdir=getattr(args, "workdir", None),
     )
     if not result.get("success"):
         print(color(f"Failed to update job: {result.get('error', 'unknown error')}", Colors.RED))
@@ -240,8 +233,6 @@ def cron_edit(args):
         print("  Skills: none")
     if updated.get("script"):
         print(f"  Script: {updated['script']}")
-    if updated.get("workdir"):
-        print(f"  Workdir: {updated['workdir']}")
     return 0
 
 

hermes_cli/debug.py

@@ -13,7 +13,6 @@ import time
 import urllib.error
 import urllib.parse
 import urllib.request
-from dataclasses import dataclass
 from pathlib import Path
 from typing import Optional
 
@@ -148,14 +147,6 @@ def _sweep_expired_pastes(now: Optional[float] = None) -> tuple[int, int]:
     return (deleted, len(remaining))
 
 
-def _best_effort_sweep_expired_pastes() -> None:
-    """Attempt pending-paste cleanup without letting /debug fail offline."""
-    try:
-        _sweep_expired_pastes()
-    except Exception:
-        pass
-
-
 # ---------------------------------------------------------------------------
 # Privacy / delete helpers
 # ---------------------------------------------------------------------------
@@ -323,128 +314,72 @@ def upload_to_pastebin(content: str, expiry_days: int = 7) -> str:
 # Log file reading
 # ---------------------------------------------------------------------------
 
-
-@dataclass
-class LogSnapshot:
-    """Single-read snapshot of a log file used by debug-share."""
-
-    path: Optional[Path]
-    tail_text: str
-    full_text: Optional[str]
-
-
-def _primary_log_path(log_name: str) -> Optional[Path]:
-    """Where *log_name* would live if present. Doesn't check existence."""
-    from hermes_cli.logs import LOG_FILES
-
-    filename = LOG_FILES.get(log_name)
-    return (get_hermes_home() / "logs" / filename) if filename else None
-
-
 def _resolve_log_path(log_name: str) -> Optional[Path]:
     """Find the log file for *log_name*, falling back to the .1 rotation.
 
-    Returns the first non-empty candidate (primary, then .1), or None.
-    Callers distinguish 'empty primary' from 'truly missing' via
-    :func:`_primary_log_path`.
+    Returns the path if found, or None.
     """
-    primary = _primary_log_path(log_name)
-    if primary is None:
+    from hermes_cli.logs import LOG_FILES
+
+    filename = LOG_FILES.get(log_name)
+    if not filename:
         return None
 
+    log_dir = get_hermes_home() / "logs"
+    primary = log_dir / filename
     if primary.exists() and primary.stat().st_size > 0:
         return primary
 
-    rotated = primary.parent / f"{primary.name}.1"
+    # Fall back to the most recent rotated file (.1).
+    rotated = log_dir / f"{filename}.1"
     if rotated.exists() and rotated.stat().st_size > 0:
         return rotated
 
     return None
 
 
-def _capture_log_snapshot(
-    log_name: str,
-    *,
-    tail_lines: int,
-    max_bytes: int = _MAX_LOG_BYTES,
-) -> LogSnapshot:
-    """Capture a log once and derive summary/full-log views from it.
+def _read_log_tail(log_name: str, num_lines: int) -> str:
+    """Read the last *num_lines* from a log file, or return a placeholder."""
+    from hermes_cli.logs import _read_last_n_lines
 
-    The report tail and standalone log upload must come from the same file
-    snapshot. Otherwise a rotation/truncate between reads can make the report
-    look newer than the uploaded ``agent.log`` paste.
+    log_path = _resolve_log_path(log_name)
+    if log_path is None:
+        return "(file not found)"
+
+    try:
+        lines = _read_last_n_lines(log_path, num_lines)
+        return "".join(lines).rstrip("\n")
+    except Exception as exc:
+        return f"(error reading: {exc})"
+
+
+def _read_full_log(log_name: str, max_bytes: int = _MAX_LOG_BYTES) -> Optional[str]:
+    """Read a log file for standalone upload.
+
+    Returns the file content (last *max_bytes* if truncated), or None if the
+    file doesn't exist or is empty.
     """
     log_path = _resolve_log_path(log_name)
     if log_path is None:
-        primary = _primary_log_path(log_name)
-        tail = "(file empty)" if primary and primary.exists() else "(file not found)"
-        return LogSnapshot(path=None, tail_text=tail, full_text=None)
+        return None
 
     try:
         size = log_path.stat().st_size
         if size == 0:
-            # race: file was truncated between _resolve_log_path and stat
-            return LogSnapshot(path=log_path, tail_text="(file empty)", full_text=None)
+            return None
 
+        if size <= max_bytes:
+            return log_path.read_text(encoding="utf-8", errors="replace")
+
+        # File is larger than max_bytes — read the tail.
         with open(log_path, "rb") as f:
-            if size <= max_bytes:
-                raw = f.read()
-                truncated = False
-            else:
-                # Read from the end until we have enough bytes for the
-                # standalone upload and enough newline context to render the
-                # summary tail from the same snapshot.
-                chunk_size = 8192
-                pos = size
-                chunks: list[bytes] = []
-                total = 0
-                newline_count = 0
-
-                while pos > 0 and (total < max_bytes or newline_count <= tail_lines + 1) and total < max_bytes * 2:
-                    read_size = min(chunk_size, pos)
-                    pos -= read_size
-                    f.seek(pos)
-                    chunk = f.read(read_size)
-                    chunks.insert(0, chunk)
-                    total += len(chunk)
-                    newline_count += chunk.count(b"\n")
-                    chunk_size = min(chunk_size * 2, 65536)
-
-                raw = b"".join(chunks)
-                truncated = pos > 0
-
-        full_raw = raw
-        if truncated and len(full_raw) > max_bytes:
-            cut = len(full_raw) - max_bytes
-            # Check whether the cut lands exactly on a line boundary.  If the
-            # byte just before the cut position is a newline the first retained
-            # byte starts a complete line and we should keep it.  Only drop a
-            # partial first line when we're genuinely mid-line.
-            on_boundary = cut > 0 and full_raw[cut - 1 : cut] == b"\n"
-            full_raw = full_raw[cut:]
-            if not on_boundary and b"\n" in full_raw:
-                full_raw = full_raw.split(b"\n", 1)[1]
-
-        all_text = raw.decode("utf-8", errors="replace")
-        tail_text = "".join(all_text.splitlines(keepends=True)[-tail_lines:]).rstrip("\n")
-
-        full_text = full_raw.decode("utf-8", errors="replace")
-        if truncated:
-            full_text = f"[... truncated — showing last ~{max_bytes // 1024}KB ...]\n{full_text}"
-
-        return LogSnapshot(path=log_path, tail_text=tail_text, full_text=full_text)
-    except Exception as exc:
-        return LogSnapshot(path=log_path, tail_text=f"(error reading: {exc})", full_text=None)
-
-
-def _capture_default_log_snapshots(log_lines: int) -> dict[str, LogSnapshot]:
-    """Capture all logs used by debug-share exactly once."""
-    errors_lines = min(log_lines, 100)
-    return {
-        "agent": _capture_log_snapshot("agent", tail_lines=log_lines),
-        "errors": _capture_log_snapshot("errors", tail_lines=errors_lines),
-        "gateway": _capture_log_snapshot("gateway", tail_lines=errors_lines),
-    }
+            f.seek(size - max_bytes)
+            # Skip partial line at the seek point.
+            f.readline()
+            content = f.read().decode("utf-8", errors="replace")
+        return f"[... truncated — showing last ~{max_bytes // 1024}KB ...]\n{content}"
+    except Exception:
+        return None
 
 
 # ---------------------------------------------------------------------------
@@ -470,12 +405,7 @@ def _capture_dump() -> str:
     return capture.getvalue()
 
 
-def collect_debug_report(
-    *,
-    log_lines: int = 200,
-    dump_text: str = "",
-    log_snapshots: Optional[dict[str, LogSnapshot]] = None,
-) -> str:
+def collect_debug_report(*, log_lines: int = 200, dump_text: str = "") -> str:
     """Build the summary debug report: system dump + log tails.
 
     Parameters
@@ -494,22 +424,19 @@ def collect_debug_report(
         dump_text = _capture_dump()
     buf.write(dump_text)
 
-    if log_snapshots is None:
-        log_snapshots = _capture_default_log_snapshots(log_lines)
-
     # ── Recent log tails (summary only) ──────────────────────────────────
     buf.write("\n\n")
     buf.write(f"--- agent.log (last {log_lines} lines) ---\n")
-    buf.write(log_snapshots["agent"].tail_text)
+    buf.write(_read_log_tail("agent", log_lines))
     buf.write("\n\n")
 
     errors_lines = min(log_lines, 100)
     buf.write(f"--- errors.log (last {errors_lines} lines) ---\n")
-    buf.write(log_snapshots["errors"].tail_text)
+    buf.write(_read_log_tail("errors", errors_lines))
     buf.write("\n\n")
 
     buf.write(f"--- gateway.log (last {errors_lines} lines) ---\n")
-    buf.write(log_snapshots["gateway"].tail_text)
+    buf.write(_read_log_tail("gateway", errors_lines))
     buf.write("\n")
 
     return buf.getvalue()
@@ -521,8 +448,6 @@ def collect_debug_report(
 
 def run_debug_share(args):
     """Collect debug report + full logs, upload each, print URLs."""
-    _best_effort_sweep_expired_pastes()
-
     log_lines = getattr(args, "lines", 200)
     expiry = getattr(args, "expire", 7)
     local_only = getattr(args, "local", False)
@@ -534,15 +459,10 @@ def run_debug_share(args):
 
     # Capture dump once — prepended to every paste for context.
     dump_text = _capture_dump()
-    log_snapshots = _capture_default_log_snapshots(log_lines)
 
-    report = collect_debug_report(
-        log_lines=log_lines,
-        dump_text=dump_text,
-        log_snapshots=log_snapshots,
-    )
-    agent_log = log_snapshots["agent"].full_text
-    gateway_log = log_snapshots["gateway"].full_text
+    report = collect_debug_report(log_lines=log_lines, dump_text=dump_text)
+    agent_log = _read_full_log("agent")
+    gateway_log = _read_full_log("gateway")
 
     # Prepend dump header to each full log so every paste is self-contained.
     if agent_log:

hermes_cli/doctor.py

@@ -29,7 +29,6 @@ if _env_path.exists():
 load_dotenv(PROJECT_ROOT / ".env", override=False, encoding="utf-8")
 
 from hermes_cli.colors import Colors, color
-from hermes_cli.models import _HERMES_USER_AGENT
 from hermes_constants import OPENROUTER_MODELS_URL
 from utils import base_url_host_matches
 
@@ -296,37 +295,16 @@ def run_doctor(args):
             except Exception:
                 pass
             try:
-                from hermes_cli.config import get_compatible_custom_providers as _compatible_custom_providers
-                from hermes_cli.providers import resolve_provider_full as _resolve_provider_full
+                from hermes_cli.auth import resolve_provider as _resolve_provider
             except Exception:
-                _compatible_custom_providers = None
-                _resolve_provider_full = None
-
-            custom_providers = []
-            if _compatible_custom_providers is not None:
-                try:
-                    custom_providers = _compatible_custom_providers(cfg)
-                except Exception:
-                    custom_providers = []
-
-            user_providers = cfg.get("providers")
-            if isinstance(user_providers, dict):
-                known_providers.update(str(name).strip().lower() for name in user_providers if str(name).strip())
-            for entry in custom_providers:
-                if not isinstance(entry, dict):
-                    continue
-                name = str(entry.get("name") or "").strip()
-                if name:
-                    known_providers.add("custom:" + name.lower().replace(" ", "-"))
+                _resolve_provider = None
 
             canonical_provider = provider
-            if (
-                provider
-                and _resolve_provider_full is not None
-                and provider not in ("auto", "custom")
-            ):
-                provider_def = _resolve_provider_full(provider, user_providers, custom_providers)
-                canonical_provider = provider_def.id if provider_def is not None else None
+            if provider and _resolve_provider is not None and provider != "auto":
+                try:
+                    canonical_provider = _resolve_provider(provider)
+                except Exception:
+                    canonical_provider = None
 
             if provider and provider != "auto":
                 if canonical_provider is None or (known_providers and canonical_provider not in known_providers):
@@ -934,7 +912,6 @@ def run_doctor(args):
     _apikey_providers = [
         ("Z.AI / GLM",      ("GLM_API_KEY", "ZAI_API_KEY", "Z_AI_API_KEY"), "https://api.z.ai/api/paas/v4/models", "GLM_BASE_URL", True),
         ("Kimi / Moonshot",  ("KIMI_API_KEY",),                              "https://api.moonshot.ai/v1/models",   "KIMI_BASE_URL", True),
-        ("StepFun Step Plan",   ("STEPFUN_API_KEY",),                           "https://api.stepfun.ai/step_plan/v1/models", "STEPFUN_BASE_URL", True),
         ("Kimi / Moonshot (China)", ("KIMI_CN_API_KEY",),                    "https://api.moonshot.cn/v1/models",   None, True),
         ("Arcee AI",         ("ARCEEAI_API_KEY",),                            "https://api.arcee.ai/api/v1/models",  "ARCEE_BASE_URL", True),
         ("DeepSeek",         ("DEEPSEEK_API_KEY",),                           "https://api.deepseek.com/v1/models",  "DEEPSEEK_BASE_URL", True),
@@ -966,25 +943,18 @@ def run_doctor(args):
             try:
                 import httpx
                 _base = os.getenv(_base_env, "") if _base_env else ""
-                # Auto-detect Kimi Code keys (sk-kimi-) → api.kimi.com/coding/v1
-                # (OpenAI-compat surface, which exposes /models for health check).
+                # Auto-detect Kimi Code keys (sk-kimi-) → api.kimi.com
                 if not _base and _key.startswith("sk-kimi-"):
                     _base = "https://api.kimi.com/coding/v1"
-                # Anthropic-compat endpoints (/anthropic, api.kimi.com/coding
-                # with no /v1) don't support /models.  Rewrite to the OpenAI-compat
-                # /v1 surface for health checks.
+                # Anthropic-compat endpoints (/anthropic) don't support /models.
+                # Rewrite to the OpenAI-compat /v1 surface for health checks.
                 if _base and _base.rstrip("/").endswith("/anthropic"):
                     from agent.auxiliary_client import _to_openai_base_url
                     _base = _to_openai_base_url(_base)
-                if base_url_host_matches(_base, "api.kimi.com") and _base.rstrip("/").endswith("/coding"):
-                    _base = _base.rstrip("/") + "/v1"
                 _url = (_base.rstrip("/") + "/models") if _base else _default_url
-                _headers = {
-                    "Authorization": f"Bearer {_key}",
-                    "User-Agent": _HERMES_USER_AGENT,
-                }
+                _headers = {"Authorization": f"Bearer {_key}"}
                 if base_url_host_matches(_base, "api.kimi.com"):
-                    _headers["User-Agent"] = "claude-code/0.1.0"
+                    _headers["User-Agent"] = "KimiCLI/1.30.0"
                 _resp = httpx.get(
                     _url,
                     headers=_headers,

hermes_cli/dump.py

@@ -267,8 +267,6 @@ def run_dump(args):
         ("ANTHROPIC_API_KEY", "anthropic"),
         ("ANTHROPIC_TOKEN", "anthropic_token"),
         ("NOUS_API_KEY", "nous"),
-        ("GOOGLE_API_KEY", "google/gemini"),
-        ("GEMINI_API_KEY", "gemini"),
         ("GLM_API_KEY", "glm/zai"),
         ("ZAI_API_KEY", "zai"),
         ("KIMI_API_KEY", "kimi"),

hermes_cli/env_loader.py

@@ -160,8 +160,6 @@ def load_hermes_dotenv(
     # Fix corrupted .env files before python-dotenv parses them (#8908).
     if user_env.exists():
         _sanitize_env_file_if_needed(user_env)
-    if project_env_path and project_env_path.exists():
-        _sanitize_env_file_if_needed(project_env_path)
 
     if user_env.exists():
         _load_dotenv_with_fallback(user_env, override=True)

hermes_cli/fallback_cmd.py

@@ -1,361 +0,0 @@
-"""
-hermes fallback — manage the fallback provider chain.
-
-Fallback providers are tried in order when the primary model fails with
-rate-limit, overload, or connection errors. See:
-https://hermes-agent.nousresearch.com/docs/user-guide/features/fallback-providers
-
-Subcommands:
-  hermes fallback [list]   Show the current fallback chain (default when no subcommand)
-  hermes fallback add      Pick provider + model via the same picker as `hermes model`,
-                           then append the selection to the chain
-  hermes fallback remove   Pick an entry to delete from the chain
-  hermes fallback clear    Remove all fallback entries
-
-Storage: ``fallback_providers`` in ``~/.hermes/config.yaml`` (top-level, list of
-``{provider, model, base_url?, api_mode?}`` dicts).  The legacy single-dict
-``fallback_model`` format is migrated to the new list format on first add.
-"""
-from __future__ import annotations
-
-import copy
-from typing import Any, Dict, List, Optional
-
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-def _read_chain(config: Dict[str, Any]) -> List[Dict[str, Any]]:
-    """Return the normalized fallback chain as a list of dicts.
-
-    Accepts both the new list format (``fallback_providers``) and the legacy
-    single-dict format (``fallback_model``).  The returned list is always a
-    fresh copy — callers can mutate without touching the config dict.
-    """
-    chain = config.get("fallback_providers") or []
-    if isinstance(chain, list):
-        result = [dict(e) for e in chain if isinstance(e, dict) and e.get("provider") and e.get("model")]
-        if result:
-            return result
-    legacy = config.get("fallback_model")
-    if isinstance(legacy, dict) and legacy.get("provider") and legacy.get("model"):
-        return [dict(legacy)]
-    if isinstance(legacy, list):
-        return [dict(e) for e in legacy if isinstance(e, dict) and e.get("provider") and e.get("model")]
-    return []
-
-
-def _write_chain(config: Dict[str, Any], chain: List[Dict[str, Any]]) -> None:
-    """Persist the chain to ``fallback_providers`` and clear legacy key."""
-    config["fallback_providers"] = chain
-    # Drop the legacy single-dict key on write so there's only one source of truth.
-    if "fallback_model" in config:
-        config.pop("fallback_model", None)
-
-
-def _format_entry(entry: Dict[str, Any]) -> str:
-    """One-line human-readable rendering of a fallback entry."""
-    provider = entry.get("provider", "?")
-    model = entry.get("model", "?")
-    base = entry.get("base_url")
-    suffix = f"  [{base}]" if base else ""
-    return f"{model}  (via {provider}){suffix}"
-
-
-def _extract_fallback_from_model_cfg(model_cfg: Any) -> Optional[Dict[str, Any]]:
-    """Pull the ``{provider, model, base_url?, api_mode?}`` dict from a ``config["model"]`` snapshot."""
-    if not isinstance(model_cfg, dict):
-        return None
-    provider = (model_cfg.get("provider") or "").strip()
-    # The picker writes the selected model to ``model.default``.
-    model = (model_cfg.get("default") or model_cfg.get("model") or "").strip()
-    if not provider or not model:
-        return None
-    entry: Dict[str, Any] = {"provider": provider, "model": model}
-    base_url = (model_cfg.get("base_url") or "").strip()
-    if base_url:
-        entry["base_url"] = base_url
-    api_mode = (model_cfg.get("api_mode") or "").strip()
-    if api_mode:
-        entry["api_mode"] = api_mode
-    return entry
-
-
-def _snapshot_auth_active_provider() -> Any:
-    """Return the current ``active_provider`` in auth.json, or a sentinel if unavailable."""
-    try:
-        from hermes_cli.auth import _load_auth_store
-        store = _load_auth_store()
-        return store.get("active_provider")
-    except Exception:
-        return None
-
-
-def _restore_auth_active_provider(value: Any) -> None:
-    """Write back a previously snapshotted ``active_provider`` value."""
-    try:
-        from hermes_cli.auth import _auth_store_lock, _load_auth_store, _save_auth_store
-        with _auth_store_lock():
-            store = _load_auth_store()
-            store["active_provider"] = value
-            _save_auth_store(store)
-    except Exception:
-        # Best-effort — if auth.json can't be restored, the user's primary
-        # provider may have been deactivated by the picker.  They can re-run
-        # `hermes model` to fix it.  Don't fail the fallback add.
-        pass
-
-
-# ---------------------------------------------------------------------------
-# Subcommand handlers
-# ---------------------------------------------------------------------------
-
-def cmd_fallback_list(args) -> None:  # noqa: ARG001
-    """Print the current fallback chain."""
-    from hermes_cli.config import load_config
-
-    config = load_config()
-    chain = _read_chain(config)
-
-    print()
-    if not chain:
-        print("  No fallback providers configured.")
-        print()
-        print("  Add one with:  hermes fallback add")
-        print()
-        return
-
-    primary = _describe_primary(config)
-    if primary:
-        print(f"  Primary:   {primary}")
-        print()
-    print(f"  Fallback chain ({len(chain)} {'entry' if len(chain) == 1 else 'entries'}):")
-    for i, entry in enumerate(chain, 1):
-        print(f"    {i}. {_format_entry(entry)}")
-    print()
-    print("  Tried in order when the primary fails (rate-limit, 5xx, connection errors).")
-    print("  Docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/fallback-providers")
-    print()
-
-
-def _describe_primary(config: Dict[str, Any]) -> Optional[str]:
-    """One-line description of the primary model for display purposes."""
-    model_cfg = config.get("model")
-    if isinstance(model_cfg, dict):
-        provider = (model_cfg.get("provider") or "?").strip() or "?"
-        model = (model_cfg.get("default") or model_cfg.get("model") or "?").strip() or "?"
-        return f"{model}  (via {provider})"
-    if isinstance(model_cfg, str) and model_cfg.strip():
-        return model_cfg.strip()
-    return None
-
-
-def cmd_fallback_add(args) -> None:
-    """Launch the same picker as `hermes model`, then append the selection to the chain."""
-    from hermes_cli.main import _require_tty, select_provider_and_model
-    from hermes_cli.config import load_config, save_config
-
-    _require_tty("fallback add")
-
-    # Snapshot BEFORE the picker runs so we can distinguish "user actually
-    # picked something" from "user cancelled" by comparing before/after.
-    before_cfg = load_config()
-    model_before = copy.deepcopy(before_cfg.get("model"))
-    active_provider_before = _snapshot_auth_active_provider()
-
-    print()
-    print("  Adding a fallback provider.  The picker below is the same one used by")
-    print("  `hermes model` — select the provider + model you want as a fallback.")
-    print()
-
-    try:
-        select_provider_and_model(args=args)
-    except SystemExit:
-        # Some provider flows exit on auth failure — restore state and re-raise.
-        _restore_model_cfg(model_before)
-        _restore_auth_active_provider(active_provider_before)
-        raise
-
-    # Read the post-picker state to see what the user selected.
-    after_cfg = load_config()
-    model_after = after_cfg.get("model")
-
-    new_entry = _extract_fallback_from_model_cfg(model_after)
-    if not new_entry:
-        # Picker didn't complete (user cancelled or flow bailed).  Nothing to do.
-        _restore_model_cfg(model_before)
-        _restore_auth_active_provider(active_provider_before)
-        print()
-        print("  No fallback added.")
-        return
-
-    # Picker picked the same thing that's already the primary → nothing changed,
-    # and there's nothing useful to add as a fallback to itself.
-    primary_entry = _extract_fallback_from_model_cfg(model_before)
-    if primary_entry and primary_entry["provider"] == new_entry["provider"] \
-            and primary_entry["model"] == new_entry["model"]:
-        _restore_model_cfg(model_before)
-        _restore_auth_active_provider(active_provider_before)
-        print()
-        print(f"  Selected model matches the current primary ({_format_entry(new_entry)}).")
-        print("  A provider cannot be a fallback for itself — no change.")
-        return
-
-    # Reload the config with the primary restored, then append the new entry
-    # to ``fallback_providers``.  We deliberately re-load (rather than mutating
-    # ``after_cfg``) because the picker may have touched other top-level keys
-    # (custom_providers, providers credentials) that we want to keep.
-    _restore_model_cfg(model_before)
-    _restore_auth_active_provider(active_provider_before)
-
-    final_cfg = load_config()
-    chain = _read_chain(final_cfg)
-
-    # Reject exact-duplicate fallback entries.
-    for existing in chain:
-        if existing.get("provider") == new_entry["provider"] \
-                and existing.get("model") == new_entry["model"]:
-            print()
-            print(f"  {_format_entry(new_entry)} is already in the fallback chain — skipped.")
-            return
-
-    chain.append(new_entry)
-    _write_chain(final_cfg, chain)
-    save_config(final_cfg)
-
-    print()
-    print(f"  Added fallback: {_format_entry(new_entry)}")
-    print(f"  Chain is now {len(chain)} {'entry' if len(chain) == 1 else 'entries'} long.")
-    print()
-    print("  Run `hermes fallback list` to view, or `hermes fallback remove` to delete.")
-
-
-def _restore_model_cfg(model_before: Any) -> None:
-    """Restore ``config["model"]`` to a previously-captured snapshot."""
-    from hermes_cli.config import load_config, save_config
-
-    cfg = load_config()
-    if model_before is None:
-        cfg.pop("model", None)
-    else:
-        cfg["model"] = copy.deepcopy(model_before)
-    save_config(cfg)
-
-
-def cmd_fallback_remove(args) -> None:  # noqa: ARG001
-    """Pick an entry from the chain and remove it."""
-    from hermes_cli.config import load_config, save_config
-
-    config = load_config()
-    chain = _read_chain(config)
-
-    if not chain:
-        print()
-        print("  No fallback providers configured — nothing to remove.")
-        print()
-        return
-
-    choices = [_format_entry(e) for e in chain]
-    choices.append("Cancel")
-
-    try:
-        from hermes_cli.setup import _curses_prompt_choice
-        idx = _curses_prompt_choice("Select a fallback to remove:", choices, 0)
-    except Exception:
-        idx = _numbered_pick("Select a fallback to remove:", choices)
-
-    if idx is None or idx < 0 or idx >= len(chain):
-        print()
-        print("  Cancelled — no change.")
-        return
-
-    removed = chain.pop(idx)
-    _write_chain(config, chain)
-    save_config(config)
-
-    print()
-    print(f"  Removed fallback: {_format_entry(removed)}")
-    if chain:
-        print(f"  Chain is now {len(chain)} {'entry' if len(chain) == 1 else 'entries'} long.")
-    else:
-        print("  Fallback chain is now empty.")
-    print()
-
-
-def cmd_fallback_clear(args) -> None:  # noqa: ARG001
-    """Remove all fallback entries (with confirmation)."""
-    from hermes_cli.config import load_config, save_config
-
-    config = load_config()
-    chain = _read_chain(config)
-
-    if not chain:
-        print()
-        print("  No fallback providers configured — nothing to clear.")
-        print()
-        return
-
-    print()
-    print(f"  Current fallback chain ({len(chain)} {'entry' if len(chain) == 1 else 'entries'}):")
-    for i, entry in enumerate(chain, 1):
-        print(f"    {i}. {_format_entry(entry)}")
-    print()
-    try:
-        resp = input("  Clear all entries? [y/N]: ").strip().lower()
-    except (KeyboardInterrupt, EOFError):
-        print()
-        print("  Cancelled.")
-        return
-    if resp not in ("y", "yes"):
-        print("  Cancelled — no change.")
-        return
-
-    _write_chain(config, [])
-    save_config(config)
-    print()
-    print("  Fallback chain cleared.")
-    print()
-
-
-def _numbered_pick(question: str, choices: List[str]) -> Optional[int]:
-    """Fallback numbered-list picker when curses is unavailable."""
-    print(question)
-    for i, c in enumerate(choices, 1):
-        print(f"  {i}. {c}")
-    print()
-    while True:
-        try:
-            val = input(f"Choice [1-{len(choices)}]: ").strip()
-            if not val:
-                return None
-            idx = int(val) - 1
-            if 0 <= idx < len(choices):
-                return idx
-            print(f"Please enter 1-{len(choices)}")
-        except ValueError:
-            print("Please enter a number")
-        except (KeyboardInterrupt, EOFError):
-            print()
-            return None
-
-
-# ---------------------------------------------------------------------------
-# Dispatch
-# ---------------------------------------------------------------------------
-
-def cmd_fallback(args) -> None:
-    """Top-level dispatcher for ``hermes fallback [subcommand]``."""
-    sub = getattr(args, "fallback_command", None)
-    if sub in (None, "", "list", "ls"):
-        cmd_fallback_list(args)
-    elif sub == "add":
-        cmd_fallback_add(args)
-    elif sub in ("remove", "rm"):
-        cmd_fallback_remove(args)
-    elif sub == "clear":
-        cmd_fallback_clear(args)
-    else:
-        print(f"Unknown fallback subcommand: {sub}")
-        print("Use one of: list, add, remove, clear")
-        raise SystemExit(2)

hermes_cli/gateway.py

@@ -175,60 +175,6 @@ def _request_gateway_self_restart(pid: int) -> bool:
     return True
 
 
-def _graceful_restart_via_sigusr1(pid: int, drain_timeout: float) -> bool:
-    """Send SIGUSR1 to a gateway PID and wait for it to exit gracefully.
-
-    SIGUSR1 is wired in gateway/run.py to ``request_restart(via_service=True)``
-    which drains in-flight agent runs (up to ``agent.restart_drain_timeout``
-    seconds), then exits with code 75.  Both systemd (``Restart=on-failure``
-    + ``RestartForceExitStatus=75``) and launchd (``KeepAlive.SuccessfulExit
-    = false``) relaunch the process after the graceful exit.
-
-    This is the drain-aware alternative to ``systemctl restart`` / ``SIGTERM``,
-    which SIGKILL in-flight agents after a short timeout.
-
-    Args:
-        pid: Gateway process PID (systemd MainPID, launchd PID, or bare
-            process PID).
-        drain_timeout: Seconds to wait for the process to exit after sending
-            SIGUSR1.  Should be slightly larger than the gateway's
-            ``agent.restart_drain_timeout`` to allow the drain loop to
-            finish cleanly.
-
-    Returns:
-        True if the PID was signalled and exited within the timeout.
-        False if SIGUSR1 couldn't be sent or the process didn't exit in
-        time (caller should fall back to a harder restart path).
-    """
-    if not hasattr(signal, "SIGUSR1"):
-        return False
-    if pid <= 0:
-        return False
-    try:
-        os.kill(pid, signal.SIGUSR1)
-    except ProcessLookupError:
-        # Already gone — nothing to drain.
-        return True
-    except (PermissionError, OSError):
-        return False
-
-    import time as _time
-
-    deadline = _time.monotonic() + max(drain_timeout, 1.0)
-    while _time.monotonic() < deadline:
-        try:
-            os.kill(pid, 0)  # signal 0 — probe liveness
-        except ProcessLookupError:
-            return True
-        except PermissionError:
-            # Process still exists but we can't signal it.  Treat as alive
-            # so the caller falls back.
-            pass
-        _time.sleep(0.5)
-    # Drain didn't finish in time.
-    return False
-
-
 def _append_unique_pid(pids: list[int], pid: int | None, exclude_pids: set[int]) -> None:
     if pid is None or pid <= 0:
         return
@@ -387,147 +333,6 @@ def _probe_systemd_service_running(system: bool = False) -> tuple[bool, bool]:
     return selected_system, result.stdout.strip() == "active"
 
 
-def _read_systemd_unit_properties(
-    system: bool = False,
-    properties: tuple[str, ...] = (
-        "ActiveState",
-        "SubState",
-        "Result",
-        "ExecMainStatus",
-    ),
-) -> dict[str, str]:
-    """Return selected ``systemctl show`` properties for the gateway unit."""
-    selected_system = _select_systemd_scope(system)
-    try:
-        result = _run_systemctl(
-            [
-                "show",
-                get_service_name(),
-                "--no-pager",
-                "--property",
-                ",".join(properties),
-            ],
-            system=selected_system,
-            capture_output=True,
-            text=True,
-            timeout=10,
-        )
-    except (RuntimeError, subprocess.TimeoutExpired, OSError):
-        return {}
-
-    if result.returncode != 0:
-        return {}
-
-    parsed: dict[str, str] = {}
-    for line in result.stdout.splitlines():
-        if "=" not in line:
-            continue
-        key, value = line.split("=", 1)
-        parsed[key] = value.strip()
-    return parsed
-
-
-def _wait_for_systemd_service_restart(
-    *,
-    system: bool = False,
-    previous_pid: int | None = None,
-    timeout: float = 60.0,
-) -> bool:
-    """Wait for the gateway service to become active after a restart handoff."""
-    import time
-
-    svc = get_service_name()
-    scope_label = _service_scope_label(system).capitalize()
-    deadline = time.time() + timeout
-
-    while time.time() < deadline:
-        props = _read_systemd_unit_properties(system=system)
-        active_state = props.get("ActiveState", "")
-        sub_state = props.get("SubState", "")
-        new_pid = None
-        try:
-            from gateway.status import get_running_pid
-
-            new_pid = get_running_pid()
-        except Exception:
-            new_pid = None
-
-        if active_state == "active":
-            if new_pid and (previous_pid is None or new_pid != previous_pid):
-                print(f"✓ {scope_label} service restarted (PID {new_pid})")
-                return True
-            if previous_pid is None:
-                print(f"✓ {scope_label} service restarted")
-                return True
-
-        if active_state == "activating" and sub_state == "auto-restart":
-            time.sleep(1)
-            continue
-
-        time.sleep(2)
-
-    print(
-        f"⚠ {scope_label} service did not become active within {int(timeout)}s.\n"
-        f"  Check status: {'sudo ' if system else ''}hermes gateway status\n"
-        f"  Check logs:   journalctl {'--user ' if not system else ''}-u {svc} -l --since '2 min ago'"
-    )
-    return False
-
-
-def _recover_pending_systemd_restart(system: bool = False, previous_pid: int | None = None) -> bool:
-    """Recover a planned service restart that is stuck in systemd state."""
-    props = _read_systemd_unit_properties(system=system)
-    if not props:
-        return False
-
-    try:
-        from gateway.status import read_runtime_status
-    except Exception:
-        return False
-
-    runtime_state = read_runtime_status() or {}
-    if not runtime_state.get("restart_requested"):
-        return False
-
-    active_state = props.get("ActiveState", "")
-    sub_state = props.get("SubState", "")
-    exec_main_status = props.get("ExecMainStatus", "")
-    result = props.get("Result", "")
-
-    if active_state == "activating" and sub_state == "auto-restart":
-        print("⏳ Service restart already pending — waiting for systemd relaunch...")
-        return _wait_for_systemd_service_restart(
-            system=system,
-            previous_pid=previous_pid,
-        )
-
-    if active_state == "failed" and (
-        exec_main_status == str(GATEWAY_SERVICE_RESTART_EXIT_CODE)
-        or result == "exit-code"
-    ):
-        svc = get_service_name()
-        scope_label = _service_scope_label(system).capitalize()
-        print(f"↻ Clearing failed state for pending {scope_label.lower()} service restart...")
-        _run_systemctl(
-            ["reset-failed", svc],
-            system=system,
-            check=False,
-            timeout=30,
-        )
-        _run_systemctl(
-            ["start", svc],
-            system=system,
-            check=False,
-            timeout=90,
-        )
-        return _wait_for_systemd_service_restart(
-            system=system,
-            previous_pid=previous_pid,
-        )
-
-    return False
-
-
 def _probe_launchd_service_running() -> bool:
     if not get_launchd_plist_path().exists():
         return False
@@ -665,8 +470,7 @@ def stop_profile_gateway() -> bool:
         except (ProcessLookupError, PermissionError):
             break
 
-    if get_running_pid() is None:
-        remove_pid_file()
+    remove_pid_file()
     return True
 
 
@@ -815,21 +619,6 @@ def get_systemd_unit_path(system: bool = False) -> Path:
     return Path.home() / ".config" / "systemd" / "user" / f"{name}.service"
 
 
-class UserSystemdUnavailableError(RuntimeError):
-    """Raised when ``systemctl --user`` cannot reach the user D-Bus session.
-
-    Typically hit on fresh RHEL/Debian SSH sessions where linger is disabled
-    and no user@.service is running, so ``/run/user/$UID/bus`` never exists.
-    Carries a user-facing remediation message in ``args[0]``.
-    """
-
-
-def _user_dbus_socket_path() -> Path:
-    """Return the expected per-user D-Bus socket path (regardless of existence)."""
-    xdg = os.environ.get("XDG_RUNTIME_DIR") or f"/run/user/{os.getuid()}"
-    return Path(xdg) / "bus"
-
-
 def _ensure_user_systemd_env() -> None:
     """Ensure DBUS_SESSION_BUS_ADDRESS and XDG_RUNTIME_DIR are set for systemctl --user.
 
@@ -852,126 +641,6 @@ def _ensure_user_systemd_env() -> None:
             os.environ["DBUS_SESSION_BUS_ADDRESS"] = f"unix:path={bus_path}"
 
 
-def _wait_for_user_dbus_socket(timeout: float = 3.0) -> bool:
-    """Poll for the user D-Bus socket to appear, up to ``timeout`` seconds.
-
-    Linger-enabled user@.service can take a second or two to spawn the socket
-    after ``loginctl enable-linger`` runs.  Returns True once the socket exists.
-    """
-    import time
-
-    deadline = time.monotonic() + timeout
-    while time.monotonic() < deadline:
-        if _user_dbus_socket_path().exists():
-            _ensure_user_systemd_env()
-            return True
-        time.sleep(0.2)
-    return _user_dbus_socket_path().exists()
-
-
-def _preflight_user_systemd(*, auto_enable_linger: bool = True) -> None:
-    """Ensure ``systemctl --user`` will reach the user D-Bus session bus.
-
-    No-op when the bus socket is already there (the common case on desktops
-    and linger-enabled servers).  On fresh SSH sessions where the socket is
-    missing:
-
-    * If linger is already enabled, wait briefly for user@.service to spawn
-      the socket.
-    * If linger is disabled and ``auto_enable_linger`` is True, try
-      ``loginctl enable-linger $USER`` (works as non-root when polkit permits
-      it, otherwise needs sudo).
-    * If the socket is still missing afterwards, raise
-      :class:`UserSystemdUnavailableError` with a precise remediation message.
-
-    Callers should treat the exception as a terminal condition for user-scope
-    systemd operations and surface the message to the user.
-    """
-    _ensure_user_systemd_env()
-    bus_path = _user_dbus_socket_path()
-    if bus_path.exists():
-        return
-
-    import getpass
-
-    username = getpass.getuser()
-    linger_enabled, linger_detail = get_systemd_linger_status()
-
-    if linger_enabled is True:
-        if _wait_for_user_dbus_socket(timeout=3.0):
-            return
-        # Linger is on but socket still missing — unusual; fall through to error.
-        _raise_user_systemd_unavailable(
-            username,
-            reason="User D-Bus socket is missing even though linger is enabled.",
-            fix_hint=(
-                f"  systemctl start user@{os.getuid()}.service\n"
-                "  (may require sudo; try again after the command succeeds)"
-            ),
-        )
-
-    if auto_enable_linger and shutil.which("loginctl"):
-        try:
-            result = subprocess.run(
-                ["loginctl", "enable-linger", username],
-                capture_output=True,
-                text=True,
-                check=False,
-                timeout=30,
-            )
-        except Exception as exc:
-            _raise_user_systemd_unavailable(
-                username,
-                reason=f"loginctl enable-linger failed ({exc}).",
-                fix_hint=f"  sudo loginctl enable-linger {username}",
-            )
-        else:
-            if result.returncode == 0:
-                if _wait_for_user_dbus_socket(timeout=5.0):
-                    print(f"✓ Enabled linger for {username} — user D-Bus now available")
-                    return
-                # enable-linger succeeded but the socket never appeared.
-                _raise_user_systemd_unavailable(
-                    username,
-                    reason="Linger was enabled, but the user D-Bus socket did not appear.",
-                    fix_hint=(
-                        "  Log out and log back in, then re-run the command.\n"
-                        f"  Or reboot and run: systemctl --user start {get_service_name()}"
-                    ),
-                )
-            detail = (result.stderr or result.stdout or f"exit {result.returncode}").strip()
-            _raise_user_systemd_unavailable(
-                username,
-                reason=f"loginctl enable-linger was denied: {detail}",
-                fix_hint=f"  sudo loginctl enable-linger {username}",
-            )
-
-    _raise_user_systemd_unavailable(
-        username,
-        reason=(
-            "User D-Bus session is not available "
-            f"({linger_detail or 'linger disabled'})."
-        ),
-        fix_hint=f"  sudo loginctl enable-linger {username}",
-    )
-
-
-def _raise_user_systemd_unavailable(username: str, *, reason: str, fix_hint: str) -> None:
-    """Build a user-facing error message and raise UserSystemdUnavailableError."""
-    msg = (
-        f"{reason}\n"
-        "  systemctl --user cannot reach the user D-Bus session in this shell.\n"
-        "\n"
-        "  To fix:\n"
-        f"{fix_hint}\n"
-        "\n"
-        "  Alternative: run the gateway in the foreground (stays up until\n"
-        "  you exit / close the terminal):\n"
-        "    hermes gateway run"
-    )
-    raise UserSystemdUnavailableError(msg)
-
-
 def _systemctl_cmd(system: bool = False) -> list[str]:
     if not system:
         _ensure_user_systemd_env()
@@ -1523,14 +1192,7 @@ def generate_systemd_unit(system: bool = False, run_as_user: str | None = None)
             path_entries.append(resolved_node_dir)
 
     common_bin_paths = ["/usr/local/sbin", "/usr/local/bin", "/usr/sbin", "/usr/bin", "/sbin", "/bin"]
-    # systemd's TimeoutStopSec must exceed the gateway's drain_timeout so
-    # there's budget left for post-interrupt cleanup (tool subprocess kill,
-    # adapter disconnect, session DB close) before systemd escalates to
-    # SIGKILL on the cgroup — otherwise bash/sleep tool-call children left
-    # by a force-interrupted agent get reaped by systemd instead of us
-    # (#8202). 30s of headroom covers the worst case we've observed.
-    _drain_timeout = int(_get_restart_drain_timeout() or 0)
-    restart_timeout = max(60, _drain_timeout) + 30
+    restart_timeout = max(60, int(_get_restart_drain_timeout() or 0))
 
     if system:
         username, group_name, home_dir = _system_service_identity(run_as_user)
@@ -1819,11 +1481,6 @@ def systemd_start(system: bool = False):
     system = _select_systemd_scope(system)
     if system:
         _require_root_for_system_service("start")
-    else:
-        # Fail fast with actionable guidance if the user D-Bus session is not
-        # reachable (common on fresh RHEL/Debian SSH sessions without linger).
-        # Raises UserSystemdUnavailableError with a remediation message.
-        _preflight_user_systemd()
     refresh_systemd_unit_if_needed(system=system)
     _run_systemctl(["start", get_service_name()], system=system, check=True, timeout=30)
     print(f"✓ {_service_scope_label(system).capitalize()} service started")
@@ -1843,16 +1500,19 @@ def systemd_restart(system: bool = False):
     system = _select_systemd_scope(system)
     if system:
         _require_root_for_system_service("restart")
-    else:
-        _preflight_user_systemd()
     refresh_systemd_unit_if_needed(system=system)
     from gateway.status import get_running_pid
 
     pid = get_running_pid()
     if pid is not None and _request_gateway_self_restart(pid):
+        # SIGUSR1 sent — the gateway will drain active agents, exit with
+        # code 75, and systemd will restart it after RestartSec (30s).
+        # Wait for the old process to die and the new one to become active
+        # so the CLI doesn't return while the service is still restarting.
         import time
         scope_label = _service_scope_label(system).capitalize()
         svc = get_service_name()
+        scope_cmd = _systemctl_cmd(system)
 
         # Phase 1: wait for old process to exit (drain + shutdown)
         print(f"⏳ {scope_label} service draining active work...")
@@ -1866,41 +1526,48 @@ def systemd_restart(system: bool = False):
         else:
             print(f"⚠ Old process (PID {pid}) still alive after 90s")
 
-        # The gateway exits with code 75 for a planned service restart.
-        # systemd can sit in the RestartSec window or even wedge itself into a
-        # failed/rate-limited state if the operator asks for another restart in
-        # the middle of that handoff. Clear any stale failed state and kick the
-        # unit immediately so `hermes gateway restart` behaves idempotently.
-        _run_systemctl(
-            ["reset-failed", svc],
-            system=system,
-            check=False,
-            timeout=30,
-        )
-        _run_systemctl(
-            ["start", svc],
-            system=system,
-            check=False,
-            timeout=90,
-        )
-        _wait_for_systemd_service_restart(system=system, previous_pid=pid)
-        return
+        # Phase 2: wait for systemd to start the new process
+        print(f"⏳ Waiting for {svc} to restart...")
+        deadline = time.time() + 60
+        while time.time() < deadline:
+            try:
+                result = subprocess.run(
+                    scope_cmd + ["is-active", svc],
+                    capture_output=True, text=True, timeout=5,
+                )
+                if result.stdout.strip() == "active":
+                    # Verify it's a NEW process, not the old one somehow
+                    new_pid = get_running_pid()
+                    if new_pid and new_pid != pid:
+                        print(f"✓ {scope_label} service restarted (PID {new_pid})")
+                        return
+            except (subprocess.TimeoutExpired, FileNotFoundError):
+                pass
+            time.sleep(2)
 
-    if _recover_pending_systemd_restart(system=system, previous_pid=pid):
+        # Timed out — check final state
+        try:
+            result = subprocess.run(
+                scope_cmd + ["is-active", svc],
+                capture_output=True, text=True, timeout=5,
+            )
+            if result.stdout.strip() == "active":
+                print(f"✓ {scope_label} service restarted")
+                return
+        except Exception:
+            pass
+        print(
+            f"⚠ {scope_label} service did not become active within 60s.\n"
+            f"  Check status: {'sudo ' if system else ''}hermes gateway status\n"
+            f"  Check logs:   journalctl {'--user ' if not system else ''}-u {svc} --since '2 min ago'"
+        )
         return
-
-    _run_systemctl(
-        ["reset-failed", get_service_name()],
-        system=system,
-        check=False,
-        timeout=30,
-    )
     _run_systemctl(["reload-or-restart", get_service_name()], system=system, check=True, timeout=90)
     print(f"✓ {_service_scope_label(system).capitalize()} service restarted")
 
 
 
-def systemd_status(deep: bool = False, system: bool = False, full: bool = False):
+def systemd_status(deep: bool = False, system: bool = False):
     system = _select_systemd_scope(system)
     unit_path = get_systemd_unit_path(system=system)
     scope_flag = " --system" if system else ""
@@ -1923,12 +1590,8 @@ def systemd_status(deep: bool = False, system: bool = False, full: bool = False)
         print(f"  Run: {'sudo ' if system else ''}hermes gateway restart{scope_flag}  # auto-refreshes the unit")
         print()
 
-    status_cmd = ["status", get_service_name(), "--no-pager"]
-    if full:
-        status_cmd.append("-l")
-
     _run_systemctl(
-        status_cmd,
+        ["status", get_service_name(), "--no-pager"],
         system=system,
         capture_output=False,
         timeout=10,
@@ -1961,19 +1624,6 @@ def systemd_status(deep: bool = False, system: bool = False, full: bool = False)
         for line in runtime_lines:
             print(f"  {line}")
 
-    unit_props = _read_systemd_unit_properties(system=system)
-    active_state = unit_props.get("ActiveState", "")
-    sub_state = unit_props.get("SubState", "")
-    exec_main_status = unit_props.get("ExecMainStatus", "")
-    result_code = unit_props.get("Result", "")
-    if active_state == "activating" and sub_state == "auto-restart":
-        print("  ⏳ Restart pending: systemd is waiting to relaunch the gateway")
-    elif active_state == "failed" and exec_main_status == str(GATEWAY_SERVICE_RESTART_EXIT_CODE):
-        print("  ⚠ Planned restart is stuck in systemd failed state (exit 75)")
-        print(f"  Run: systemctl {'--user ' if not system else ''}reset-failed {get_service_name()} && {'sudo ' if system else ''}hermes gateway start{scope_flag}")
-    elif active_state == "failed" and result_code:
-        print(f"  ⚠ Systemd unit result: {result_code}")
-
     if system:
         print("✓ System service starts at boot without requiring systemd linger")
     elif deep:
@@ -1989,10 +1639,7 @@ def systemd_status(deep: bool = False, system: bool = False, full: bool = False)
     if deep:
         print()
         print("Recent logs:")
-        log_cmd = _journalctl_cmd(system) + ["-u", get_service_name(), "-n", "20", "--no-pager"]
-        if full:
-            log_cmd.append("-l")
-        subprocess.run(log_cmd, timeout=10)
+        subprocess.run(_journalctl_cmd(system) + ["-u", get_service_name(), "-n", "20", "--no-pager"], timeout=10)
 
 
 # =============================================================================
@@ -2724,24 +2371,6 @@ _PLATFORMS = [
              "help": "OpenID to deliver cron results and notifications to."},
         ],
     },
-    {
-        "key": "yuanbao",
-        "label": "Yuanbao",
-        "emoji": "💎",
-        "token_var": "YUANBAO_APP_ID",
-        "setup_instructions": [
-            "1. Download the Yuanbao app from https://yuanbao.tencent.com/",
-            "2. In the app, go to PAI → My Bot and create a new bot",
-            "3. After the bot is created, copy the App ID and App Secret",
-            "4. Enter them below and Hermes will connect automatically over WebSocket",
-        ],
-        "vars": [
-            {"name": "YUANBAO_APP_ID", "prompt": "App ID", "password": False,
-             "help": "The App ID from your Yuanbao IM Bot credentials."},
-            {"name": "YUANBAO_APP_SECRET", "prompt": "App Secret", "password": True,
-             "help": "The App Secret (used for HMAC signing) from your Yuanbao IM Bot."},
-        ],
-    },
 ]
 
 
@@ -3010,126 +2639,9 @@ def _setup_dingtalk():
 
 
 def _setup_wecom():
-    """Interactive setup for WeCom — scan QR code or manual credential input."""
-    print()
-    print(color("  ─── 💬 WeCom (Enterprise WeChat) Setup ───", Colors.CYAN))
-
-    existing_bot_id = get_env_value("WECOM_BOT_ID")
-    existing_secret = get_env_value("WECOM_SECRET")
-    if existing_bot_id and existing_secret:
-        print()
-        print_success("WeCom is already configured.")
-        if not prompt_yes_no("  Reconfigure WeCom?", False):
-            return
-
-    # ── Choose setup method ──
-    print()
-    method_choices = [
-        "Scan QR code to obtain Bot ID and Secret automatically (recommended)",
-        "Enter existing Bot ID and Secret manually",
-    ]
-    method_idx = prompt_choice("  How would you like to set up WeCom?", method_choices, 0)
-
-    bot_id = None
-    secret = None
-
-    if method_idx == 0:
-        # ── QR scan flow ──
-        try:
-            from gateway.platforms.wecom import qr_scan_for_bot_info
-        except Exception as exc:
-            print_error(f"  WeCom QR scan import failed: {exc}")
-            qr_scan_for_bot_info = None
-
-        if qr_scan_for_bot_info is not None:
-            try:
-                credentials = qr_scan_for_bot_info()
-            except KeyboardInterrupt:
-                print()
-                print_warning("  WeCom setup cancelled.")
-                return
-            except Exception as exc:
-                print_warning(f"  QR scan failed: {exc}")
-                credentials = None
-            if credentials:
-                bot_id = credentials.get("bot_id", "")
-                secret = credentials.get("secret", "")
-                print_success("  ✔ QR scan successful! Bot ID and Secret obtained.")
-
-        if not bot_id or not secret:
-            print_info("  QR scan did not complete. Continuing with manual input.")
-            bot_id = None
-            secret = None
-
-    # ── Manual credential input ──
-    if not bot_id or not secret:
-        print()
-        print_info("  1. Go to WeCom Application → Workspace → Smart Robot -> Create smart robots")
-        print_info("  2. Select API Mode")
-        print_info("  3. Copy the Bot ID and Secret from the bot's credentials info")
-        print_info("  4. The bot connects via WebSocket — no public endpoint needed")
-        print()
-        bot_id = prompt("  Bot ID", password=False)
-        if not bot_id:
-            print_warning("  Skipped — WeCom won't work without a Bot ID.")
-            return
-        secret = prompt("  Secret", password=True)
-        if not secret:
-            print_warning("  Skipped — WeCom won't work without a Secret.")
-            return
-
-    # ── Save core credentials ──
-    save_env_value("WECOM_BOT_ID", bot_id)
-    save_env_value("WECOM_SECRET", secret)
-
-    # ── Allowed users (deny-by-default security) ──
-    print()
-    print_info("  The gateway DENIES all users by default for security.")
-    print_info("  Enter user IDs to create an allowlist, or leave empty.")
-    allowed = prompt("  Allowed user IDs (comma-separated, or empty)", password=False)
-    if allowed:
-        cleaned = allowed.replace(" ", "")
-        save_env_value("WECOM_ALLOWED_USERS", cleaned)
-        print_success("  Saved — only these users can interact with the bot.")
-    else:
-        print()
-        access_choices = [
-            "Enable open access (anyone can message the bot)",
-            "Use DM pairing (unknown users request access, you approve with 'hermes pairing approve')",
-            "Disable direct messages",
-            "Skip for now (bot will deny all users until configured)",
-        ]
-        access_idx = prompt_choice("  How should unauthorized users be handled?", access_choices, 1)
-        if access_idx == 0:
-            save_env_value("WECOM_DM_POLICY", "open")
-            save_env_value("GATEWAY_ALLOW_ALL_USERS", "true")
-            print_warning("  Open access enabled — anyone can use your bot!")
-        elif access_idx == 1:
-            save_env_value("WECOM_DM_POLICY", "pairing")
-            print_success("  DM pairing mode — users will receive a code to request access.")
-            print_info("  Approve with: hermes pairing approve <platform> <code>")
-        elif access_idx == 2:
-            save_env_value("WECOM_DM_POLICY", "disabled")
-            print_warning("  Direct messages disabled.")
-        else:
-            print_info("  Skipped — configure later with 'hermes gateway setup'")
-
-    # ── Home channel (optional) ──
-    print()
-    print_info("  Chat ID for scheduled results and notifications.")
-    home = prompt("  Home chat ID (optional, for cron/notifications)", password=False)
-    if home:
-        save_env_value("WECOM_HOME_CHANNEL", home)
-        print_success(f"  Home channel set to {home}")
-
-    print()
-    print_success("💬 WeCom configured!")
-
-
-def _setup_yuanbao():
-    """Configure Yuanbao via the standard platform setup."""
-    yuanbao_platform = next(p for p in _PLATFORMS if p["key"] == "yuanbao")
-    _setup_standard_platform(yuanbao_platform)
+    """Configure WeCom (Enterprise WeChat) via the standard platform setup."""
+    wecom_platform = next(p for p in _PLATFORMS if p["key"] == "wecom")
+    _setup_standard_platform(wecom_platform)
 
 
 def _is_service_installed() -> bool:
@@ -3509,8 +3021,7 @@ def _setup_qqbot():
     if method_idx == 0:
         # ── QR scan-to-configure ──
         try:
-            from gateway.platforms.qqbot import qr_register
-            credentials = qr_register()
+            credentials = _qqbot_qr_flow()
         except KeyboardInterrupt:
             print()
             print_warning("  QQ Bot setup cancelled.")
@@ -3592,6 +3103,106 @@ def _setup_qqbot():
     print_info(f"  App ID: {credentials['app_id']}")
 
 
+def _qqbot_render_qr(url: str) -> bool:
+    """Try to render a QR code in the terminal. Returns True if successful."""
+    try:
+        import qrcode as _qr
+        qr = _qr.QRCode(border=1,error_correction=_qr.constants.ERROR_CORRECT_L)
+        qr.add_data(url)
+        qr.make(fit=True)
+        qr.print_ascii(invert=True)
+        return True
+    except Exception:
+        return False
+
+
+def _qqbot_qr_flow():
+    """Run the QR-code scan-to-configure flow.
+
+    Returns a dict with app_id, client_secret, user_openid on success,
+    or None on failure/cancel.
+    """
+    try:
+        from gateway.platforms.qqbot import (
+            create_bind_task, poll_bind_result, build_connect_url,
+            decrypt_secret, BindStatus,
+        )
+        from gateway.platforms.qqbot.constants import ONBOARD_POLL_INTERVAL
+    except Exception as exc:
+        print_error(f"  QQBot onboard import failed: {exc}")
+        return None
+
+    import asyncio
+    import time
+
+    MAX_REFRESHES = 3
+    refresh_count = 0
+
+    while refresh_count <= MAX_REFRESHES:
+        loop = asyncio.new_event_loop()
+
+        # ── Create bind task ──
+        try:
+            task_id, aes_key = loop.run_until_complete(create_bind_task())
+        except Exception as e:
+            print_warning(f"  Failed to create bind task: {e}")
+            loop.close()
+            return None
+
+        url = build_connect_url(task_id)
+
+        # ── Display QR code + URL ──
+        print()
+        if _qqbot_render_qr(url):
+            print(f"  Scan the QR code above, or open this URL directly:\n  {url}")
+        else:
+            print(f"  Open this URL in QQ on your phone:\n  {url}")
+            print_info("  Tip: pip install qrcode  to show a scannable QR code here")
+
+        # ── Poll loop (silent — keep QR visible at bottom) ──
+        try:
+            while True:
+                try:
+                    status, app_id, encrypted_secret, user_openid = loop.run_until_complete(
+                        poll_bind_result(task_id)
+                    )
+                except Exception:
+                    time.sleep(ONBOARD_POLL_INTERVAL)
+                    continue
+
+                if status == BindStatus.COMPLETED:
+                    client_secret = decrypt_secret(encrypted_secret, aes_key)
+                    print()
+                    print_success(f"  QR scan complete! (App ID: {app_id})")
+                    if user_openid:
+                        print_info(f"  Scanner's OpenID: {user_openid}")
+                    return {
+                        "app_id": app_id,
+                        "client_secret": client_secret,
+                        "user_openid": user_openid,
+                    }
+
+                if status == BindStatus.EXPIRED:
+                    refresh_count += 1
+                    if refresh_count > MAX_REFRESHES:
+                        print()
+                        print_warning(f"  QR code expired {MAX_REFRESHES} times — giving up.")
+                        return None
+                    print()
+                    print_warning(f"  QR code expired, refreshing... ({refresh_count}/{MAX_REFRESHES})")
+                    loop.close()
+                    break  # outer while creates a new task
+
+                time.sleep(ONBOARD_POLL_INTERVAL)
+        except KeyboardInterrupt:
+            loop.close()
+            raise
+        finally:
+            loop.close()
+
+    return None
+
+
 def _setup_signal():
     """Interactive setup for Signal messenger."""
     import shutil
@@ -3743,10 +3354,6 @@ def gateway_setup():
                     systemd_start()
                 elif is_macos():
                     launchd_start()
-            except UserSystemdUnavailableError as e:
-                print_error("  Failed to start — user systemd not reachable:")
-                for line in str(e).splitlines():
-                    print(f"  {line}")
             except subprocess.CalledProcessError as e:
                 print_error(f"  Failed to start: {e}")
     else:
@@ -3783,8 +3390,6 @@ def gateway_setup():
             _setup_feishu()
         elif platform["key"] == "qqbot":
             _setup_qqbot()
-        elif platform["key"] == "wecom":
-            _setup_wecom()
         else:
             _setup_standard_platform(platform)
 
@@ -3811,10 +3416,6 @@ def gateway_setup():
                     else:
                         stop_profile_gateway()
                         print_info("Start manually: hermes gateway")
-                except UserSystemdUnavailableError as e:
-                    print_error("  Restart failed — user systemd not reachable:")
-                    for line in str(e).splitlines():
-                        print(f"  {line}")
                 except subprocess.CalledProcessError as e:
                     print_error(f"  Restart failed: {e}")
         elif service_installed:
@@ -3824,10 +3425,6 @@ def gateway_setup():
                         systemd_start()
                     elif is_macos():
                         launchd_start()
-                except UserSystemdUnavailableError as e:
-                    print_error("  Start failed — user systemd not reachable:")
-                    for line in str(e).splitlines():
-                        print(f"  {line}")
                 except subprocess.CalledProcessError as e:
                     print_error(f"  Start failed: {e}")
         else:
@@ -3851,10 +3448,6 @@ def gateway_setup():
                                     systemd_start(system=installed_scope == "system")
                                 else:
                                     launchd_start()
-                            except UserSystemdUnavailableError as e:
-                                print_error("  Start failed — user systemd not reachable:")
-                                for line in str(e).splitlines():
-                                    print(f"  {line}")
                             except subprocess.CalledProcessError as e:
                                 print_error(f"  Start failed: {e}")
                     except subprocess.CalledProcessError as e:
@@ -3892,18 +3485,6 @@ def gateway_setup():
 
 def gateway_command(args):
     """Handle gateway subcommands."""
-    try:
-        return _gateway_command_inner(args)
-    except UserSystemdUnavailableError as e:
-        # Clean, actionable message instead of a traceback when the user D-Bus
-        # session is unreachable (fresh SSH shell, no linger, container, etc.).
-        print_error("User systemd not reachable:")
-        for line in str(e).splitlines():
-            print(f"  {line}")
-        sys.exit(1)
-
-
-def _gateway_command_inner(args):
     subcmd = getattr(args, 'gateway_command', None)
     
     # Default to run if no subcommand
@@ -4167,13 +3748,12 @@ def _gateway_command_inner(args):
     
     elif subcmd == "status":
         deep = getattr(args, 'deep', False)
-        full = getattr(args, 'full', False)
         system = getattr(args, 'system', False)
         snapshot = get_gateway_runtime_snapshot(system=system)
         
         # Check for service first
         if supports_systemd_services() and (get_systemd_unit_path(system=False).exists() or get_systemd_unit_path(system=True).exists()):
-            systemd_status(deep, system=system, full=full)
+            systemd_status(deep, system=system)
             _print_gateway_process_mismatch(snapshot)
         elif is_macos() and get_launchd_plist_path().exists():
             launchd_status(deep)

hermes_cli/hooks.py

@@ -125,7 +125,6 @@ _DEFAULT_PAYLOADS = {
         "task_id": "test-task",
         "tool_call_id": "test-call",
         "result": '{"output": "hello"}',
-        "duration_ms": 42,
     },
     "pre_llm_call": {
         "session_id": "test-session",