Compare commits

..

6 Commits

Author SHA1 Message Date
Teknium 13ca9ee665 Merge remote-tracking branch 'origin/main' into hermes/curator-infra 2026-04-26 07:16:35 -07:00
Teknium 83b22637af feat(curator): hook into the gateway's cron-ticker thread
Long-running gateways need the curator to fire on cadence without
restarts. Piggy-back on the existing cron ticker thread (which already
runs image/document cache cleanup every hour on the same pattern)
instead of spawning a dedicated timer thread.

- New CURATOR_EVERY = 60 ticks (poll hourly at default 60s interval).
  The inner config.interval_hours gate controls the real cadence, so
  60 of these 60 hourly pokes are cheap no-ops and one runs the review.
- Removed the boot-time call added in the prior commit — the ticker
  covers boot + every hour thereafter. Avoids double-running.

Handles the weekly-default-on-24/7-gateway gap flagged in review.
2026-04-26 07:16:27 -07:00
Teknium 0be51452fa fix(curator): default cycle is every 7 days, not 24 hours
Weekly is closer to how skill churn actually works — most agent-created
skills don't change multiple times per day, so a daily review is pure
cost without benefit. Bumping the default to 7 days reduces aux-model
spend while still catching drift and staleness on the timescales that
matter (30d stale, 90d archive).

Changes:
- DEFAULT_INTERVAL_HOURS: 24 -> 168 (7 days)
- config.yaml default: interval_hours: 24 -> 24 * 7
- CLI status line renders as '7d' when interval is a whole-day multiple
- Test `test_old_run_eligible` decoupled from the exact default: it now
  uses 2 * get_interval_hours() so future tweaks don't break it
2026-04-26 06:32:18 -07:00
Teknium 76df76477f fix(curator): defense-in-depth gates against bundled/hub skills
Previous invariants only gated the primary entry points
(apply_automatic_transitions, archive_skill, CLI pin). Several paths
were unprotected:

  - bump_view / bump_use / bump_patch / set_state / set_pinned wrote
    usage records unconditionally, which is confusing noise in
    .usage.json even though the review list filtered them out
  - restore_skill did not check whether a bundled skill now shadows
    the archived name
  - CLI unpin was asymmetric with CLI pin — it had no gate

Fixes:
  - _mutate() (the shared counter / state writer) now drops silently
    when the skill is not agent-created. .usage.json never gains a
    record for a bundled or hub-installed skill.
  - restore_skill() refuses to restore under a name that is now
    bundled or hub-installed (would shadow upstream).
  - CLI unpin gate matches CLI pin.

New tests:
  - 5 provenance-guard tests on skill_usage (one per mutator)
  - 1 end-to-end test that hammers every mutator at a bundled skill
    and a hub skill, asserts both are untouched on disk, and asserts
    the sidecar stays clean
  - 2 CLI tests proving pin/unpin refuse bundled skills symmetrically

64/64 tests passing (29 skill_usage + 27 curator + 8 new guards).
2026-04-26 06:17:01 -07:00
Teknium f40ccece11 refactor(curator): point review prompt at existing tools
The LLM review prompt mentioned bespoke `archive_skill` and `pin_skill`
tools that are not registered as model tools. Swap the prompt to rely
on the real surface:

  - skill_manage action=patch  — for patching and consolidation
  - terminal                   — to `mv` skill dirs into .archive/

Also drop `pin` from the model's decision list — pinning is a user
opt-out for `hermes curator pin <skill>`, not something the model
should do autonomously.

Decision list is now: keep / patch / consolidate / archive.

Tests updated: prompt-invariant test now asserts the existing tools
are referenced and that bespoke tool names do NOT appear. New test
prevents `pin` from being re-added as a model decision.
2026-04-26 06:13:09 -07:00
Teknium 9dd59cb637 feat(curator): background skill maintenance (issue #7816)
Adds the Curator — an auxiliary-model background task that periodically
reviews AGENT-CREATED skills and keeps the collection tidy: tracks usage,
transitions unused skills through active → stale → archived, and spawns
a forked AIAgent to consolidate overlaps and patch drift.

Default: enabled, inactivity-triggered (no cron daemon). Runs on CLI
startup and gateway boot when the last run is older than interval_hours
(default 24) AND the agent has been idle for min_idle_hours (default 2).

Invariants (all load-bearing):
- Never touches bundled or hub-installed skills (.bundled_manifest +
  .hub/lock.json double-filter)
- Never auto-deletes — archive only. Archives are recoverable
  via `hermes curator restore <skill>`
- Pinned skills bypass all auto-transitions
- Uses the aux client; never touches the main session's prompt cache

New files:
- tools/skill_usage.py — sidecar .usage.json telemetry, atomic writes,
  provenance filter
- agent/curator.py — orchestrator: config, idle gating, state-machine
  transitions (pure, no LLM), forked-agent review prompt
- hermes_cli/curator.py — `hermes curator {status,run,pause,resume,
  pin,unpin,restore}` subcommand
- tests/tools/test_skill_usage.py — 29 tests
- tests/agent/test_curator.py — 25 tests

Modified files (surgical patches):
- tools/skills_tool.py — bump view_count on successful skill_view
- tools/skill_manager_tool.py — bump patch_count on skill_manage
  patch/edit/write_file/remove_file; forget record on delete
- hermes_cli/config.py — add curator: section to DEFAULT_CONFIG
- hermes_cli/commands.py — add /curator CommandDef with subcommands
- hermes_cli/main.py — register `hermes curator` subparser via
  register_cli() from hermes_cli.curator
- cli.py — /curator slash-command dispatch + startup hook
- gateway/run.py — gateway-boot hook (mirrors CLI)

Validation:
- 54 new tests across skill_usage + curator, all passing in 3s
- 346 tests across all touched files' neighbors green
- 2783 tests across hermes_cli/ + gateway/test_run_progress_topics.py green
- CLI smoke: `hermes curator status/pause/resume` work end-to-end

Companion to PR #16026 (class-first skill review prompt) — together
they form a loop: the review prompt stops near-duplicate skill creation
at the source, and the curator prunes/consolidates what still accumulates.

Refs #7816.
2026-04-26 06:08:39 -07:00
676 changed files with 7013 additions and 70210 deletions
-2
View File
@@ -5,9 +5,7 @@
# Dependencies
node_modules
**/node_modules
.venv
**/.venv
# CI/CD
.github
+1 -7
View File
@@ -13,7 +13,7 @@ concurrency:
cancel-in-progress: true
jobs:
nix-lockfile-check:
check:
runs-on: ubuntu-latest
timeout-minutes: 20
steps:
@@ -36,12 +36,6 @@ jobs:
LINK_SHA: ${{ steps.sha.outputs.full }}
run: nix run .#fix-lockfiles -- --check
- name: Fail if check crashed without reporting
if: steps.check.outputs.stale != 'true' && steps.check.outputs.stale != 'false'
run: |
echo "::error::fix-lockfiles exited without reporting stale status — likely an infrastructure or script failure"
exit 1
- name: Post sticky PR comment (stale)
if: steps.check.outputs.stale == 'true' && github.event_name == 'pull_request'
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
+2 -103
View File
@@ -1,13 +1,6 @@
name: Nix Lockfile Fix
on:
push:
branches: [main]
paths:
- 'ui-tui/package-lock.json'
- 'ui-tui/package.json'
- 'web/package-lock.json'
- 'web/package.json'
workflow_dispatch:
inputs:
pr_number:
@@ -26,103 +19,9 @@ concurrency:
cancel-in-progress: false
jobs:
# ── Auto-fix on main ───────────────────────────────────────────────
# Fires when a push to main touches package.json or package-lock.json
# in ui-tui/ or web/. Runs fix-lockfiles --apply and pushes the hash
# update commit directly to main so Nix builds never stay broken.
#
# Safety invariants:
# 1. The fix commit only touches nix/*.nix files, which are NOT in
# the paths filter above, so this cannot re-trigger itself.
# 2. An explicit file-whitelist check before commit aborts if
# fix-lockfiles ever modifies unexpected files.
# 3. Job-level concurrency with cancel-in-progress: true ensures
# back-to-back pushes collapse to the newest; ref: main checkout
# always operates on the latest branch state.
# 4. Uses a GitHub App token (not GITHUB_TOKEN) so the fix commit
# triggers downstream nix.yml verification.
auto-fix-main:
if: github.event_name == 'push'
runs-on: ubuntu-latest
timeout-minutes: 25
concurrency:
group: auto-fix-main
cancel-in-progress: true
steps:
- name: Generate GitHub App token
id: app-token
uses: actions/create-github-app-token@7bfa3a4717ef143a604ee0a99d859b8886a96d00 # v1.9.3
with:
app-id: ${{ secrets.APP_ID }}
private-key: ${{ secrets.APP_PRIVATE_KEY }}
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
with:
ref: main
token: ${{ steps.app-token.outputs.token }}
- uses: ./.github/actions/nix-setup
- name: Apply lockfile hashes
id: apply
run: nix run .#fix-lockfiles -- --apply
- name: Commit & push
if: steps.apply.outputs.changed == 'true'
shell: bash
run: |
set -euo pipefail
# Ensure only nix files were modified — prevents accidental
# self-triggering if fix-lockfiles ever touches package files.
unexpected="$(git diff --name-only | grep -Ev '^nix/(tui|web)\.nix$' || true)"
if [ -n "$unexpected" ]; then
echo "::error::Unexpected modified files: $unexpected"
exit 1
fi
# Record the base SHA before committing — used to detect package
# file changes if we need to rebase after a non-fast-forward push.
BASE_SHA="$(git rev-parse HEAD)"
git config user.name 'github-actions[bot]'
git config user.email '41898282+github-actions[bot]@users.noreply.github.com'
git add nix/tui.nix nix/web.nix
git commit -m "fix(nix): auto-refresh npm lockfile hashes" \
-m "Source: $GITHUB_SHA" \
-m "Run: $GITHUB_SERVER_URL/$GITHUB_REPOSITORY/actions/runs/$GITHUB_RUN_ID"
# Retry push with rebase in case main advanced with an unrelated
# commit during the nix build. Without this, a non-fast-forward
# rejection silently loses the fix. If package files changed during
# the rebase, abort — a fresh auto-fix run will handle the new state.
for attempt in 1 2 3; do
if git push origin HEAD:main; then
exit 0
fi
echo "::warning::Push attempt $attempt failed (non-fast-forward?), rebasing…"
git fetch origin main
# If package files changed between our base and the new main,
# our computed hashes are stale. Abort and let the next triggered
# run recompute from the correct package-lock state.
pkg_changed="$(git diff --name-only "$BASE_SHA"..origin/main -- \
'ui-tui/package-lock.json' 'ui-tui/package.json' \
'web/package-lock.json' 'web/package.json' || true)"
if [ -n "$pkg_changed" ]; then
echo "::warning::Package files changed since hash computation — aborting; a fresh run will recompute"
exit 0
fi
git rebase origin/main
done
echo "::error::Failed to push after 3 rebase attempts"
exit 1
# ── PR fix (manual / checkbox) ─────────────────────────────────────
# Existing behavior: run on manual dispatch OR when a task-list
# checkbox in the sticky lockfile-check comment flips from [ ] to [x].
fix:
# Run on manual dispatch OR when a task-list checkbox in the sticky
# lockfile-check comment flips from `[ ]` to `[x]`.
if: |
github.event_name == 'workflow_dispatch' ||
(github.event_name == 'issue_comment'
-2
View File
@@ -69,5 +69,3 @@ mini-swe-agent/
.nix-stamps/
result
website/static/api/skills-index.json
models-dev-upstream/
.venv
+1 -1
View File
@@ -38,7 +38,7 @@ hermes-agent/
│ │ # homeassistant, signal, matrix, mattermost, email, sms,
│ │ # dingtalk, wecom, weixin, feishu, qqbot, bluebubbles,
│ │ # webhook, api_server, ...). See ADDING_A_PLATFORM.md.
│ └── builtin_hooks/ # Extension point for always-registered gateway hooks (none shipped)
│ └── 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
+1 -1
View File
@@ -494,7 +494,7 @@ branding:
agent_name: "My Agent"
welcome: "Welcome message"
response_label: " ⚔ Agent "
prompt_symbol: "⚔"
prompt_symbol: "⚔ "
tool_prefix: "╎" # Tool output line prefix
```
+3 -13
View File
@@ -14,7 +14,7 @@ ENV PLAYWRIGHT_BROWSERS_PATH=/opt/hermes/.playwright
# 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 openssh-client docker-cli tini && \
rm -rf /var/lib/apt/lists/*
# Non-root user for runtime; UID can be overridden via HERMES_UID at runtime
@@ -30,28 +30,18 @@ WORKDIR /opt/hermes
# unless the lockfiles themselves change.
COPY package.json package-lock.json ./
COPY web/package.json web/package-lock.json web/
COPY ui-tui/package.json ui-tui/package-lock.json ui-tui/
COPY ui-tui/packages/hermes-ink/package.json ui-tui/packages/hermes-ink/package-lock.json ui-tui/packages/hermes-ink/
RUN npm install --prefer-offline --no-audit && \
npx playwright install --with-deps chromium --only-shell && \
(cd web && npm install --prefer-offline --no-audit) && \
(cd ui-tui && npm install --prefer-offline --no-audit) && \
npm cache clean --force
# ---------- Source code ----------
# .dockerignore excludes node_modules, so the installs above survive.
COPY --chown=hermes:hermes . .
# Build browser dashboard and terminal UI assets.
RUN cd web && npm run build && \
cd ../ui-tui && npm run build && \
rm -rf node_modules/@hermes/ink && \
rm -rf packages/hermes-ink/node_modules && \
cp -R packages/hermes-ink node_modules/@hermes/ink && \
npm install --omit=dev --prefer-offline --no-audit --prefix node_modules/@hermes/ink && \
rm -rf node_modules/@hermes/ink/node_modules/react && \
node --input-type=module -e "await import('@hermes/ink')"
# 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.
-11
View File
@@ -112,17 +112,6 @@ def main() -> None:
import acp
from .server import HermesACPAgent
# MCP tool discovery from config.yaml — run before asyncio.run() so
# it's safe to use blocking waits. (ACP also registers per-session
# MCP servers dynamically via asyncio.to_thread inside the event
# loop; that path is unaffected.) Moved from model_tools.py module
# scope to avoid freezing the gateway's loop on lazy import (#16856).
try:
from tools.mcp_tool import discover_mcp_tools
discover_mcp_tools()
except Exception:
logger.debug("MCP tool discovery failed at ACP startup", exc_info=True)
agent = HermesACPAgent()
try:
asyncio.run(acp.run_agent(agent, use_unstable_protocol=True))
+1 -28
View File
@@ -3,7 +3,6 @@
from __future__ import annotations
import asyncio
import contextvars
import logging
import os
from collections import defaultdict, deque
@@ -575,22 +574,6 @@ class HermesACPAgent(acp.Agent):
def _run_agent() -> dict:
nonlocal previous_approval_cb, previous_interactive
# Bind HERMES_SESSION_KEY for this session so per-session caches
# (e.g. the interactive sudo password cache in tools.terminal_tool)
# scope to the ACP session rather than leaking across sessions
# that land on the same reused executor thread. This call runs
# inside a contextvars.copy_context() below, so the ContextVar
# write is isolated from other concurrent ACP sessions.
try:
from gateway.session_context import (
clear_session_vars,
set_session_vars,
)
session_tokens = set_session_vars(session_key=session_id)
except Exception:
session_tokens = None
clear_session_vars = None # type: ignore[assignment]
logger.debug("Could not set ACP session context", exc_info=True)
if approval_cb:
try:
from tools import terminal_tool as _terminal_tool
@@ -624,19 +607,9 @@ class HermesACPAgent(acp.Agent):
_terminal_tool.set_approval_callback(previous_approval_cb)
except Exception:
logger.debug("Could not restore approval callback", exc_info=True)
if session_tokens is not None and clear_session_vars is not None:
try:
clear_session_vars(session_tokens)
except Exception:
logger.debug("Could not clear ACP session context", exc_info=True)
try:
# Wrap the executor call in a fresh copy of the current context so
# concurrent ACP sessions on the shared ThreadPoolExecutor don't
# stomp on each other's ContextVar writes (HERMES_SESSION_KEY in
# particular — used by the interactive sudo password cache scope).
ctx = contextvars.copy_context()
result = await loop.run_in_executor(_executor, ctx.run, _run_agent)
result = await loop.run_in_executor(_executor, _run_agent)
except Exception:
logger.exception("Executor error for session %s", session_id)
return PromptResponse(stop_reason="end_turn")
+78 -155
View File
@@ -22,25 +22,10 @@ from hermes_constants import get_hermes_home
from typing import Any, Dict, List, Optional, Tuple
from utils import normalize_proxy_env_vars
# NOTE: `import anthropic` is deliberately NOT at module top — the SDK pulls
# ~220 ms of imports (anthropic.types, anthropic.lib.tools._beta_runner, etc.)
# and the 3 usage sites (build_anthropic_client, build_anthropic_bedrock_client,
# read_claude_code_credentials_from_keychain) are all on cold user-triggered
# paths. Access via the `_get_anthropic_sdk()` accessor below, which caches
# the module after the first call and returns None on ImportError.
_anthropic_sdk: Any = ... # sentinel — None means "tried and missing"
def _get_anthropic_sdk():
"""Return the ``anthropic`` SDK module, importing lazily. None if not installed."""
global _anthropic_sdk
if _anthropic_sdk is ...:
try:
import anthropic as _sdk
_anthropic_sdk = _sdk
except ImportError:
_anthropic_sdk = None
return _anthropic_sdk
try:
import anthropic as _anthropic_sdk
except ImportError:
_anthropic_sdk = None # type: ignore[assignment]
logger = logging.getLogger(__name__)
@@ -217,33 +202,19 @@ def _forbids_sampling_params(model: str) -> bool:
# Beta headers for enhanced features (sent with ALL auth types).
# As of Opus 4.7 (2026-04-16), the first two are GA on Claude 4.6+ — the
# As of Opus 4.7 (2026-04-16), both of these are GA on Claude 4.6+ — the
# beta headers are still accepted (harmless no-op) but not required. Kept
# here so older Claude (4.5, 4.1) + third-party Anthropic-compat endpoints
# that still gate on the headers continue to get the enhanced features.
#
# ``context-1m-2025-08-07`` unlocks the 1M context window on Claude Opus 4.6/4.7
# and Sonnet 4.6 when served via AWS Bedrock or Azure AI Foundry. 1M is GA on
# native Anthropic (api.anthropic.com) for Opus 4.6+, but Bedrock/Azure still
# gate it behind this beta header as of 2026-04 — without it Bedrock caps Opus
# at 200K even though model_metadata.py advertises 1M. The header is a harmless
# no-op on endpoints where 1M is GA.
#
# Migration guide: remove these if you no longer support ≤4.5 models or once
# Bedrock/Azure promote 1M to GA.
# Migration guide: remove these if you no longer support ≤4.5 models.
_COMMON_BETAS = [
"interleaved-thinking-2025-05-14",
"fine-grained-tool-streaming-2025-05-14",
"context-1m-2025-08-07",
]
# MiniMax's Anthropic-compatible endpoints fail tool-use requests when
# the fine-grained tool streaming beta is present. Omit it so tool calls
# fall back to the provider's default response path.
_TOOL_STREAMING_BETA = "fine-grained-tool-streaming-2025-05-14"
# 1M context beta — see comment on _COMMON_BETAS above. Stripped for
# Bearer-auth (MiniMax) endpoints since they host their own models and
# unknown Anthropic beta headers risk request rejection.
_CONTEXT_1M_BETA = "context-1m-2025-08-07"
# Fast mode beta — enables the ``speed: "fast"`` request parameter for
# significantly higher output token throughput on Opus 4.6 (~2.5x).
@@ -257,11 +228,10 @@ _OAUTH_ONLY_BETAS = [
"oauth-2025-04-20",
]
# Claude Code version — sent on OAuth token-exchange / refresh requests
# (platform.claude.com/v1/oauth/token) as the client's user-agent. Anthropic's
# OAuth flow validates the UA and may reject requests with a version that's
# too old, so detecting dynamically keeps users on a current Claude Code
# install from hitting stale-version errors during login/refresh.
# Claude Code identity — required for OAuth requests to be routed correctly.
# Without these, Anthropic's infrastructure intermittently 500s OAuth traffic.
# The version must stay reasonably current — Anthropic rejects OAuth requests
# when the spoofed user-agent version is too far behind the actual release.
_CLAUDE_CODE_VERSION_FALLBACK = "2.1.74"
_claude_code_version_cache: Optional[str] = None
@@ -269,9 +239,9 @@ _claude_code_version_cache: Optional[str] = None
def _detect_claude_code_version() -> str:
"""Detect the installed Claude Code version, fall back to a static constant.
Used only by the OAuth token-exchange / refresh flow
(``platform.claude.com/v1/oauth/token``). The Messages API client no
longer sends a claude-cli user-agent.
Anthropic's OAuth infrastructure validates the user-agent version and may
reject requests with a version that's too old. Detecting dynamically means
users who keep Claude Code updated never hit stale-version 400s.
"""
import subprocess as _sp
@@ -291,13 +261,12 @@ def _detect_claude_code_version() -> str:
return _CLAUDE_CODE_VERSION_FALLBACK
def _get_claude_code_version() -> str:
"""Lazily detect the installed Claude Code version for OAuth flow headers.
_CLAUDE_CODE_SYSTEM_PREFIX = "You are Claude Code, Anthropic's official CLI for Claude."
_MCP_TOOL_PREFIX = "mcp_"
Used only on the OAuth token-exchange and refresh endpoints
(``platform.claude.com/v1/oauth/token``). The Messages API client does
not send a claude-cli user-agent.
"""
def _get_claude_code_version() -> str:
"""Lazily detect the installed Claude Code version when OAuth headers need it."""
global _claude_code_version_cache
if _claude_code_version_cache is None:
_claude_code_version_cache = _detect_claude_code_version()
@@ -388,14 +357,9 @@ def _common_betas_for_base_url(base_url: str | None) -> list[str]:
that include Anthropic's ``fine-grained-tool-streaming`` beta — every
tool-use message triggers a connection error. Strip that beta for
Bearer-auth endpoints while keeping all other betas intact.
The ``context-1m-2025-08-07`` beta is also stripped for Bearer-auth
endpoints — MiniMax hosts its own models, not Claude, so the header is
irrelevant at best and risks request rejection at worst.
"""
if _requires_bearer_auth(base_url):
_stripped = {_TOOL_STREAMING_BETA, _CONTEXT_1M_BETA}
return [b for b in _COMMON_BETAS if b not in _stripped]
return [b for b in _COMMON_BETAS if b != _TOOL_STREAMING_BETA]
return _COMMON_BETAS
@@ -410,7 +374,6 @@ def build_anthropic_client(api_key: str, base_url: str = None, timeout: float =
Returns an anthropic.Anthropic instance.
"""
_anthropic_sdk = _get_anthropic_sdk()
if _anthropic_sdk is None:
raise ImportError(
"The 'anthropic' package is required for the Anthropic provider. "
@@ -467,21 +430,15 @@ def build_anthropic_client(api_key: str, base_url: str = None, timeout: float =
if common_betas:
kwargs["default_headers"] = {"anthropic-beta": ",".join(common_betas)}
elif _is_oauth_token(api_key):
# OAuth access token / setup-token → Bearer auth + OAuth-only betas.
# The OAuth-specific beta headers are still required by Anthropic's
# OAuth-gated Messages API path; the Claude Code user-agent / x-app
# spoofing is deliberately NOT sent — Hermes identifies as itself.
#
# ``context-1m-2025-08-07`` is stripped here: Anthropic rejects
# OAuth requests that carry it with
# "This authentication style is incompatible with the long
# context beta header."
# Subscription-gated OAuth traffic gets the 200K default window.
oauth_safe_common = [b for b in common_betas if b != _CONTEXT_1M_BETA]
all_betas = oauth_safe_common + _OAUTH_ONLY_BETAS
# OAuth access token / setup-token → Bearer auth + Claude Code identity.
# Anthropic routes OAuth requests based on user-agent and headers;
# without Claude Code's fingerprint, requests get intermittent 500s.
all_betas = common_betas + _OAUTH_ONLY_BETAS
kwargs["auth_token"] = api_key
kwargs["default_headers"] = {
"anthropic-beta": ",".join(all_betas),
"user-agent": f"claude-cli/{_get_claude_code_version()} (external, cli)",
"x-app": "cli",
}
else:
# Regular API key → x-api-key header + common betas
@@ -499,16 +456,8 @@ def build_anthropic_bedrock_client(region: str):
Claude feature parity: prompt caching, thinking budgets, adaptive
thinking, fast mode — features not available via the Converse API.
Attaches the common Anthropic beta headers as client-level defaults so
that Bedrock-hosted Claude models get the same enhanced features as
native Anthropic. The ``context-1m-2025-08-07`` beta in particular
unlocks the 1M context window for Opus 4.6/4.7 on Bedrock — without
it, Bedrock caps these models at 200K even though the Anthropic API
serves them with 1M natively.
Auth uses the boto3 default credential chain (IAM roles, SSO, env vars).
"""
_anthropic_sdk = _get_anthropic_sdk()
if _anthropic_sdk is None:
raise ImportError(
"The 'anthropic' package is required for the Bedrock provider. "
@@ -524,7 +473,6 @@ def build_anthropic_bedrock_client(region: str):
return _anthropic_sdk.AnthropicBedrock(
aws_region=region,
timeout=Timeout(timeout=900.0, connect=10.0),
default_headers={"anthropic-beta": ",".join(_COMMON_BETAS)},
)
@@ -540,6 +488,9 @@ def _read_claude_code_credentials_from_keychain() -> Optional[Dict[str, Any]]:
Returns dict with {accessToken, refreshToken?, expiresAt?} or None.
"""
import platform
import subprocess
if platform.system() != "Darwin":
return None
@@ -825,45 +776,17 @@ def resolve_anthropic_token() -> Optional[str]:
"""Resolve an Anthropic token from all available sources.
Priority:
1. Hermes credential pool (``~/.hermes/auth.json`` →
``credential_pool.anthropic``) — OAuth tokens minted by Hermes'
own PKCE login flow. Entries are auto-refreshed when near
expiry. Env-sourced pool entries (``source="env:..."``) are
skipped here so the env-var priority logic below still runs.
2. ANTHROPIC_TOKEN env var (OAuth/setup token saved by Hermes)
3. CLAUDE_CODE_OAUTH_TOKEN env var
4. Claude Code credentials (~/.claude.json or ~/.claude/.credentials.json)
1. ANTHROPIC_TOKEN env var (OAuth/setup token saved by Hermes)
2. CLAUDE_CODE_OAUTH_TOKEN env var
3. Claude Code credentials (~/.claude.json or ~/.claude/.credentials.json)
— with automatic refresh if expired and a refresh token is available
5. ANTHROPIC_API_KEY env var (regular API key, or legacy fallback)
4. ANTHROPIC_API_KEY env var (regular API key, or legacy fallback)
Returns the token string or None.
"""
# 1. Hermes credential pool — the live source of truth for tokens
# minted via ``hermes login anthropic`` / the dashboard PKCE flow.
# ``select()`` picks the best available entry and refreshes it if
# it's near expiry, so callers always get a fresh token.
#
# Skip env-sourced pool entries (``env:ANTHROPIC_TOKEN``, etc.) —
# those are passthroughs of the env var, and the env-var branches
# below have richer priority logic (``_prefer_refreshable_claude_code_token``)
# that can upgrade a static env OAuth token to a refreshed
# Claude Code token. Letting the pool win here would short-circuit
# that upgrade.
try:
from agent.credential_pool import load_pool
pool = load_pool("anthropic")
entry = pool.select()
if entry and entry.access_token and not entry.source.startswith("env:"):
return entry.access_token
except Exception as exc:
# Pool lookup is best-effort — fall through to env/file sources
# if anything goes wrong (e.g. auth.json corruption during a
# concurrent write).
logger.debug("Credential-pool lookup failed for anthropic: %s", exc)
creds = read_claude_code_credentials()
# 2. Hermes-managed OAuth/setup token env var
# 1. Hermes-managed OAuth/setup token env var
token = os.getenv("ANTHROPIC_TOKEN", "").strip()
if token:
preferred = _prefer_refreshable_claude_code_token(token, creds)
@@ -871,7 +794,7 @@ def resolve_anthropic_token() -> Optional[str]:
return preferred
return token
# 3. CLAUDE_CODE_OAUTH_TOKEN (used by Claude Code for setup-tokens)
# 2. CLAUDE_CODE_OAUTH_TOKEN (used by Claude Code for setup-tokens)
cc_token = os.getenv("CLAUDE_CODE_OAUTH_TOKEN", "").strip()
if cc_token:
preferred = _prefer_refreshable_claude_code_token(cc_token, creds)
@@ -879,12 +802,12 @@ def resolve_anthropic_token() -> Optional[str]:
return preferred
return cc_token
# 4. Claude Code credential file
# 3. Claude Code credential file
resolved_claude_token = _resolve_claude_code_token_from_credentials(creds)
if resolved_claude_token:
return resolved_claude_token
# 5. Regular API key, or a legacy OAuth token saved in ANTHROPIC_API_KEY.
# 4. Regular API key, or a legacy OAuth token saved in ANTHROPIC_API_KEY.
# This remains as a compatibility fallback for pre-migration Hermes configs.
api_key = os.getenv("ANTHROPIC_API_KEY", "").strip()
if api_key:
@@ -1131,33 +1054,6 @@ def _sanitize_tool_id(tool_id: str) -> str:
return sanitized or "tool_0"
def _normalize_tool_input_schema(schema: Any) -> Dict[str, Any]:
"""Normalize tool schemas before sending them to Anthropic.
Anthropic's tool schema validator rejects nullable unions such as
``anyOf: [{"type": "string"}, {"type": "null"}]`` that Pydantic/MCP
commonly emits for optional fields. Tool optionality is represented by
the parent ``required`` array, so we delegate to the shared
``strip_nullable_unions`` helper to collapse nullable unions to the
non-null branch while preserving metadata like description/default.
``keep_nullable_hint=False`` because the Anthropic validator does not
recognize the OpenAPI-style ``nullable: true`` extension and strict
schema-to-grammar converters may reject unknown keywords.
"""
if not schema:
return {"type": "object", "properties": {}}
from tools.schema_sanitizer import strip_nullable_unions
normalized = strip_nullable_unions(schema, keep_nullable_hint=False)
if not isinstance(normalized, dict):
return {"type": "object", "properties": {}}
if normalized.get("type") == "object" and not isinstance(normalized.get("properties"), dict):
normalized = {**normalized, "properties": {}}
return normalized
def convert_tools_to_anthropic(tools: List[Dict]) -> List[Dict]:
"""Convert OpenAI tool definitions to Anthropic format."""
if not tools:
@@ -1168,9 +1064,7 @@ def convert_tools_to_anthropic(tools: List[Dict]) -> List[Dict]:
result.append({
"name": fn.get("name", ""),
"description": fn.get("description", ""),
"input_schema": _normalize_tool_input_schema(
fn.get("parameters", {"type": "object", "properties": {}})
),
"input_schema": fn.get("parameters", {"type": "object", "properties": {}}),
})
return result
@@ -1649,10 +1543,8 @@ def build_anthropic_kwargs(
"max_tokens too large given prompt" errors and retry with a smaller cap
(see parse_available_output_tokens_from_error + _ephemeral_max_output_tokens).
When *is_oauth* is True, enables the OAuth-only beta headers required by
Anthropic's subscription-gated Messages endpoint (fast-mode branch only;
the default headers are set by build_anthropic_client). No system-prompt
or tool-name rewriting is performed — Hermes identifies as itself.
When *is_oauth* is True, applies Claude Code compatibility transforms:
system prompt prefix, tool name prefixing, and prompt sanitization.
When *preserve_dots* is True, model name dots are not converted to hyphens
(for Alibaba/DashScope anthropic-compatible endpoints: qwen3.5-plus).
@@ -1685,11 +1577,45 @@ def build_anthropic_kwargs(
if context_length and effective_max_tokens > context_length:
effective_max_tokens = max(context_length - 1, 1)
# OAuth requests go through Anthropic's subscription-gated Messages
# endpoint but otherwise send the real Hermes system prompt and real
# Hermes tool names — the only OAuth-specific wire differences are
# Bearer auth and the _OAUTH_ONLY_BETAS header (applied in
# build_anthropic_client and the fast-mode branch below).
# ── OAuth: Claude Code identity ──────────────────────────────────
if is_oauth:
# 1. Prepend Claude Code system prompt identity
cc_block = {"type": "text", "text": _CLAUDE_CODE_SYSTEM_PREFIX}
if isinstance(system, list):
system = [cc_block] + system
elif isinstance(system, str) and system:
system = [cc_block, {"type": "text", "text": system}]
else:
system = [cc_block]
# 2. Sanitize system prompt — replace product name references
# to avoid Anthropic's server-side content filters.
for block in system:
if isinstance(block, dict) and block.get("type") == "text":
text = block.get("text", "")
text = text.replace("Hermes Agent", "Claude Code")
text = text.replace("Hermes agent", "Claude Code")
text = text.replace("hermes-agent", "claude-code")
text = text.replace("Nous Research", "Anthropic")
block["text"] = text
# 3. Prefix tool names with mcp_ (Claude Code convention)
if anthropic_tools:
for tool in anthropic_tools:
if "name" in tool:
tool["name"] = _MCP_TOOL_PREFIX + tool["name"]
# 4. Prefix tool names in message history (tool_use and tool_result blocks)
for msg in anthropic_messages:
content = msg.get("content")
if isinstance(content, list):
for block in content:
if isinstance(block, dict):
if block.get("type") == "tool_use" and "name" in block:
if not block["name"].startswith(_MCP_TOOL_PREFIX):
block["name"] = _MCP_TOOL_PREFIX + block["name"]
elif block.get("type") == "tool_result" and "tool_use_id" in block:
pass # tool_result uses ID, not name
kwargs: Dict[str, Any] = {
"model": model,
@@ -1780,9 +1706,6 @@ def build_anthropic_kwargs(
# extra_headers override the client-level anthropic-beta header).
betas = list(_common_betas_for_base_url(base_url))
if is_oauth:
# Strip context-1m — incompatible with OAuth auth. See matching
# comment in build_anthropic_client().
betas = [b for b in betas if b != _CONTEXT_1M_BETA]
betas.extend(_OAUTH_ONLY_BETAS)
betas.append(_FAST_MODE_BETA)
kwargs["extra_headers"] = {"anthropic-beta": ",".join(betas)}
+55 -338
View File
@@ -41,57 +41,10 @@ import threading
import time
from pathlib import Path # noqa: F401 — used by test mocks
from types import SimpleNamespace
from typing import Any, Dict, List, Optional, Tuple, TYPE_CHECKING
from typing import Any, Dict, List, Optional, Tuple
from urllib.parse import urlparse, parse_qs, urlunparse
# NOTE: `from openai import OpenAI` is deliberately NOT at module top — the
# openai SDK pulls a large type tree (~240 ms cold, including responses/*,
# graders/*). We expose `OpenAI` here as a thin proxy that imports the SDK on
# first call and forwards, so:
# (a) the 15+ in-module `OpenAI(...)` construction sites work unchanged
# (Python's function-scope name lookup resolves `OpenAI` to the proxy
# object bound in module globals here, without triggering any import);
# (b) external code can still do `auxiliary_client.OpenAI` or
# `patch("agent.auxiliary_client.OpenAI", ...)` — tests see the proxy,
# and patch replaces the module attribute as usual;
# (c) `OpenAI` as a type annotation resolves at runtime to the proxy class
# (which is harmless — annotations aren't type-checked at runtime).
# See tests/agent/test_auxiliary_client.py for patch patterns this supports.
if TYPE_CHECKING:
from openai import OpenAI # noqa: F401 — type hints only
_OPENAI_CLS_CACHE: Optional[type] = None
def _load_openai_cls() -> type:
"""Import and cache ``openai.OpenAI``."""
global _OPENAI_CLS_CACHE
if _OPENAI_CLS_CACHE is None:
from openai import OpenAI as _cls
_OPENAI_CLS_CACHE = _cls
return _OPENAI_CLS_CACHE
class _OpenAIProxy:
"""Module-level proxy that looks like the ``openai.OpenAI`` class.
Forwards ``OpenAI(...)`` calls and ``isinstance(x, OpenAI)`` checks to the
real SDK class, importing the SDK lazily on first use.
"""
__slots__ = ()
def __call__(self, *args, **kwargs):
return _load_openai_cls()(*args, **kwargs)
def __instancecheck__(self, obj):
return isinstance(obj, _load_openai_cls())
def __repr__(self):
return "<lazy openai.OpenAI proxy>"
OpenAI = _OpenAIProxy() # module-level name, resolves lazily on call/isinstance
from openai import OpenAI
from agent.credential_pool import load_pool
from hermes_cli.config import get_hermes_home
@@ -129,8 +82,6 @@ _PROVIDER_ALIASES = {
"moonshot": "kimi-coding",
"kimi-cn": "kimi-coding-cn",
"moonshot-cn": "kimi-coding-cn",
"gmi-cloud": "gmi",
"gmicloud": "gmi",
"minimax-china": "minimax-cn",
"minimax_cn": "minimax-cn",
"claude": "anthropic",
@@ -141,10 +92,6 @@ _PROVIDER_ALIASES = {
"github-models": "copilot",
"github-copilot-acp": "copilot-acp",
"copilot-acp-agent": "copilot-acp",
"tencent": "tencent-tokenhub",
"tokenhub": "tencent-tokenhub",
"tencent-cloud": "tencent-tokenhub",
"tencentmaas": "tencent-tokenhub",
}
@@ -208,7 +155,6 @@ _API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
"kimi-coding": "kimi-k2-turbo-preview",
"stepfun": "step-3.5-flash",
"kimi-coding-cn": "kimi-k2-turbo-preview",
"gmi": "google/gemini-3.1-flash-lite-preview",
"minimax": "MiniMax-M2.7",
"minimax-cn": "MiniMax-M2.7",
"anthropic": "claude-haiku-4-5-20251001",
@@ -217,7 +163,6 @@ _API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
"opencode-go": "glm-5",
"kilocode": "google/gemini-3-flash-preview",
"ollama-cloud": "nemotron-3-nano:30b",
"tencent-tokenhub": "hy3-preview",
}
# Vision-specific model overrides for direct providers.
@@ -457,33 +402,6 @@ class _CodexCompletionsAdapter:
# Note: the Codex endpoint (chatgpt.com/backend-api/codex) does NOT
# support max_output_tokens or temperature — omit to avoid 400 errors.
# Translate extra_body.reasoning (chat.completions shape) into the
# Responses API's top-level reasoning + include fields. Mirrors
# agent/transports/codex.py::build_kwargs() so auxiliary callers
# that configure reasoning via auxiliary.<task>.extra_body get the
# same behavior as the main agent's Codex transport.
extra_body = kwargs.get("extra_body") or {}
if isinstance(extra_body, dict):
reasoning_cfg = extra_body.get("reasoning")
if isinstance(reasoning_cfg, dict):
if reasoning_cfg.get("enabled") is False:
# Reasoning explicitly disabled — do not set reasoning
# or include. The Codex backend still thinks by
# default, but we honor the caller's intent where the
# API allows it.
pass
else:
effort = reasoning_cfg.get("effort", "medium")
# Codex backend rejects "minimal"; clamp to "low" to
# match the main-agent Codex transport behavior.
if effort == "minimal":
effort = "low"
resp_kwargs["reasoning"] = {
"effort": effort,
"summary": "auto",
}
resp_kwargs["include"] = ["reasoning.encrypted_content"]
# Tools support for auxiliary callers (e.g. skills_hub) that pass function schemas
tools = kwargs.get("tools")
if tools:
@@ -713,7 +631,9 @@ class _AnthropicCompletionsAdapter:
response = self._client.messages.create(**anthropic_kwargs)
_transport = get_transport("anthropic_messages")
_nr = _transport.normalize_response(response)
_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.
@@ -791,116 +711,6 @@ class AsyncAnthropicAuxiliaryClient:
self.base_url = sync_wrapper.base_url
def _endpoint_speaks_anthropic_messages(base_url: str) -> bool:
"""True if the endpoint at ``base_url`` speaks the Anthropic Messages
protocol instead of OpenAI chat.completions.
Mirrors ``hermes_cli.runtime_provider._detect_api_mode_for_url`` so the
auxiliary client and the main agent stay in sync on transport selection.
Covers:
- Any URL ending in ``/anthropic`` (MiniMax, Zhipu GLM, LiteLLM proxies,
Anthropic-compatible gateways).
- ``api.kimi.com/coding`` (Kimi Coding Plan — the /coding route only
speaks Claude-Code's native Anthropic shape; ``chat.completions``
returns 404 on Anthropic-only model aliases like ``kimi-for-coding``).
- ``api.anthropic.com`` (native Anthropic).
"""
normalized = (base_url or "").strip().lower().rstrip("/")
if not normalized:
return False
if normalized.endswith("/anthropic"):
return True
hostname = base_url_hostname(normalized)
if hostname == "api.anthropic.com":
return True
if hostname == "api.kimi.com" and "/coding" in normalized:
return True
return False
def _maybe_wrap_anthropic(
client_obj: Any,
model: str,
api_key: str,
base_url: str,
api_mode: Optional[str] = None,
) -> Any:
"""Rewrap a plain OpenAI client in ``AnthropicAuxiliaryClient`` when
the endpoint actually speaks Anthropic Messages.
This is the single chokepoint for aux-client transport correction.
Runs at the end of every ``resolve_provider_client`` branch so that
api_key providers (Kimi Coding Plan), the ``custom`` endpoint, and
future /anthropic gateways all land on the right wire format
regardless of which branch built the client.
Returns ``client_obj`` unchanged when:
- It's already an Anthropic/Codex/Gemini/CopilotACP wrapper.
- The endpoint is an OpenAI-wire endpoint.
- ``api_mode`` is explicitly set to a non-Anthropic transport.
- The ``anthropic`` SDK is not installed (falls back to OpenAI wire).
"""
# Already wrapped — don't double-wrap.
if isinstance(client_obj, AnthropicAuxiliaryClient):
return client_obj
# Other specialized adapters we should never re-dispatch.
if isinstance(client_obj, CodexAuxiliaryClient):
return client_obj
try:
from agent.gemini_native_adapter import GeminiNativeClient
if isinstance(client_obj, GeminiNativeClient):
return client_obj
except ImportError:
pass
try:
from agent.copilot_acp_client import CopilotACPClient
if isinstance(client_obj, CopilotACPClient):
return client_obj
except ImportError:
pass
# Explicit non-anthropic api_mode wins over URL heuristics.
if api_mode and api_mode != "anthropic_messages":
return client_obj
should_wrap = (
api_mode == "anthropic_messages"
or _endpoint_speaks_anthropic_messages(base_url)
)
if not should_wrap:
return client_obj
try:
from agent.anthropic_adapter import build_anthropic_client
except ImportError:
logger.warning(
"Endpoint %s speaks Anthropic Messages but the anthropic SDK is "
"not installed — falling back to OpenAI-wire (will likely 404).",
base_url,
)
return client_obj
try:
real_client = build_anthropic_client(api_key, base_url)
except Exception as exc:
logger.warning(
"Failed to build Anthropic client for %s (%s) — falling back to "
"OpenAI-wire client.", base_url, exc,
)
return client_obj
logger.debug(
"Auxiliary transport: wrapping client in AnthropicAuxiliaryClient "
"(model=%s, base_url=%s, api_mode=%s)",
model, base_url[:60] if base_url else "", api_mode or "auto-detected",
)
return AnthropicAuxiliaryClient(
real_client, model, api_key, base_url, is_oauth=False,
)
def _read_nous_auth() -> Optional[dict]:
"""Read and validate ~/.hermes/auth.json for an active Nous provider.
@@ -1071,9 +881,7 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
from hermes_cli.models import copilot_default_headers
extra["default_headers"] = copilot_default_headers()
_client = OpenAI(api_key=api_key, base_url=base_url, **extra)
_client = _maybe_wrap_anthropic(_client, model, api_key, base_url)
return _client, model
return OpenAI(api_key=api_key, base_url=base_url, **extra), model
creds = resolve_api_key_provider_credentials(provider_id)
api_key = str(creds.get("api_key", "")).strip()
@@ -1099,9 +907,7 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
from hermes_cli.models import copilot_default_headers
extra["default_headers"] = copilot_default_headers()
_client = OpenAI(api_key=api_key, base_url=base_url, **extra)
_client = _maybe_wrap_anthropic(_client, model, api_key, base_url)
return _client, model
return OpenAI(api_key=api_key, base_url=base_url, **extra), model
return None, None
@@ -1385,13 +1191,7 @@ def _try_custom_endpoint() -> Tuple[Optional[Any], Optional[str]]:
AnthropicAuxiliaryClient(real_client, model, custom_key, custom_base, is_oauth=False),
model,
)
# URL-based anthropic detection for custom endpoints that didn't set
# api_mode explicitly (e.g. kimi.com/coding reached via custom config).
_fallback_client = OpenAI(api_key=custom_key, base_url=_clean_base, **_extra)
_fallback_client = _maybe_wrap_anthropic(
_fallback_client, model, custom_key, custom_base, custom_mode,
)
return _fallback_client, model
return OpenAI(api_key=custom_key, base_url=_clean_base, **_extra), model
def _try_codex() -> Tuple[Optional[Any], Optional[str]]:
@@ -1817,14 +1617,8 @@ def _resolve_auto(main_runtime: Optional[Dict[str, Any]] = None) -> Tuple[Option
# below — never look up auth env vars ad-hoc.
def _to_async_client(sync_client, model: str, is_vision: bool = False):
"""Convert a sync client to its async counterpart, preserving Codex routing.
When ``is_vision=True`` and the underlying base URL is Copilot, the
resulting async client carries the ``Copilot-Vision-Request: true``
header so the request is routed to Copilot's vision-capable
infrastructure (otherwise vision payloads silently time out).
"""
def _to_async_client(sync_client, model: str):
"""Convert a sync client to its async counterpart, preserving Codex routing."""
from openai import AsyncOpenAI
if isinstance(sync_client, CodexAuxiliaryClient):
@@ -1853,11 +1647,9 @@ def _to_async_client(sync_client, model: str, is_vision: bool = False):
if base_url_host_matches(sync_base_url, "openrouter.ai"):
async_kwargs["default_headers"] = dict(_OR_HEADERS)
elif base_url_host_matches(sync_base_url, "api.githubcopilot.com"):
from hermes_cli.copilot_auth import copilot_request_headers
from hermes_cli.models import copilot_default_headers
async_kwargs["default_headers"] = copilot_request_headers(
is_agent_turn=True, is_vision=is_vision
)
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"}
return AsyncOpenAI(**async_kwargs), model
@@ -1884,7 +1676,6 @@ def resolve_provider_client(
explicit_api_key: str = None,
api_mode: str = None,
main_runtime: Optional[Dict[str, Any]] = None,
is_vision: bool = False,
) -> Tuple[Optional[Any], Optional[str]]:
"""Central router: given a provider name and optional model, return a
configured client with the correct auth, base URL, and API format.
@@ -1942,20 +1733,8 @@ def resolve_provider_client(
return True
return False
def _wrap_if_needed(client_obj, final_model_str: str, base_url_str: str = "",
api_key_str: str = ""):
"""Wrap a plain OpenAI client in the correct transport adapter.
Handles two cases:
- ``CodexAuxiliaryClient`` when the endpoint needs the Responses API
(explicit ``api_mode=codex_responses`` or api.openai.com + codex
model name).
- ``AnthropicAuxiliaryClient`` when the endpoint speaks Anthropic
Messages (explicit ``api_mode=anthropic_messages``, any ``/anthropic``
suffix, ``api.kimi.com/coding``, or ``api.anthropic.com``).
Clients that are already specialized wrappers pass through unchanged.
"""
def _wrap_if_needed(client_obj, final_model_str: str, base_url_str: str = ""):
"""Wrap a plain OpenAI client in CodexAuxiliaryClient if Responses API is needed."""
if _needs_codex_wrap(client_obj, base_url_str, final_model_str):
logger.debug(
"resolve_provider_client: wrapping client in CodexAuxiliaryClient "
@@ -1963,11 +1742,7 @@ def resolve_provider_client(
api_mode or "auto-detected", final_model_str,
base_url_str[:60] if base_url_str else "")
return CodexAuxiliaryClient(client_obj, final_model_str)
# Anthropic-wire endpoints: rewrap plain OpenAI clients so
# chat.completions.create() is translated to /v1/messages.
return _maybe_wrap_anthropic(
client_obj, final_model_str, api_key_str, base_url_str, api_mode,
)
return client_obj
# ── Auto: try all providers in priority order ────────────────────
if provider == "auto":
@@ -1984,7 +1759,7 @@ def resolve_provider_client(
"auxiliary provider (using %r instead)", model, resolved)
model = None
final_model = model or resolved
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
# ── OpenRouter ───────────────────────────────────────────────────
@@ -1997,7 +1772,7 @@ def resolve_provider_client(
)
return None, None
final_model = _normalize_resolved_model(model or default, provider)
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
# ── Nous Portal (OAuth) ──────────────────────────────────────────
@@ -2014,7 +1789,7 @@ def resolve_provider_client(
"but Nous Portal not configured (run: hermes auth)")
return None, None
final_model = _normalize_resolved_model(model or default, provider)
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
# ── OpenAI Codex (OAuth → Responses API) ─────────────────────────
@@ -2041,13 +1816,13 @@ def resolve_provider_client(
"but no Codex OAuth token found (run: hermes model)")
return None, None
final_model = _normalize_resolved_model(model or default, provider)
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
# ── Custom endpoint (OPENAI_BASE_URL + OPENAI_API_KEY) ───────────
if provider == "custom":
if explicit_base_url:
custom_base = _to_openai_base_url(explicit_base_url).strip()
custom_base = explicit_base_url.strip()
custom_key = (
(explicit_api_key or "").strip()
or os.getenv("OPENAI_API_KEY", "").strip()
@@ -2060,7 +1835,7 @@ def resolve_provider_client(
)
return None, None
final_model = _normalize_resolved_model(
model or (main_runtime.get("model") if main_runtime else None) or "gpt-4o-mini",
model or _read_main_model() or "gpt-4o-mini",
provider,
)
extra = {}
@@ -2070,13 +1845,11 @@ def resolve_provider_client(
if base_url_host_matches(custom_base, "api.kimi.com"):
extra["default_headers"] = {"User-Agent": "claude-code/0.1.0"}
elif base_url_host_matches(custom_base, "api.githubcopilot.com"):
from hermes_cli.copilot_auth import copilot_request_headers
extra["default_headers"] = copilot_request_headers(
is_agent_turn=True, is_vision=is_vision
)
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 = _wrap_if_needed(client, final_model, custom_base, custom_key)
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
client = _wrap_if_needed(client, final_model, custom_base)
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
# Try custom first, then codex, then API-key providers
for try_fn in (_try_custom_endpoint, _try_codex,
@@ -2085,9 +1858,8 @@ def resolve_provider_client(
if client is not None:
final_model = _normalize_resolved_model(model or default, provider)
_cbase = str(getattr(client, "base_url", "") or "")
_ckey = str(getattr(client, "api_key", "") or "")
client = _wrap_if_needed(client, final_model, _cbase, _ckey)
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
client = _wrap_if_needed(client, final_model, _cbase)
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
logger.warning("resolve_provider_client: custom/main requested "
"but no endpoint credentials found")
@@ -2109,22 +1881,10 @@ def resolve_provider_client(
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 (main_runtime.get("model") if main_runtime else None)
or _read_main_model()
or "gpt-4o-mini",
model or custom_entry.get("model") or _read_main_model() or "gpt-4o-mini",
provider,
)
# anthropic_messages talks to the /anthropic surface directly;
# OpenAI-wire paths (chat_completions / codex_responses) need the
# /v1 equivalent. Rewrite only on the OpenAI-wire path so the
# Anthropic fallback SDK still sees the original URL.
if entry_api_mode == "anthropic_messages":
openai_base = custom_base
else:
openai_base = _to_openai_base_url(custom_base)
_clean_base2, _dq2 = _extract_url_query_params(openai_base)
_clean_base2, _dq2 = _extract_url_query_params(custom_base)
_extra2 = {"default_query": _dq2} if _dq2 else {}
logger.debug(
"resolve_provider_client: named custom provider %r (%s, api_mode=%s)",
@@ -2143,13 +1903,8 @@ def resolve_provider_client(
"installed — falling back to OpenAI-wire.",
provider,
)
# Fallback went OpenAI-wire after all — redo the query
# extraction against the rewritten /v1 URL.
_fallback_base = _to_openai_base_url(custom_base)
_fb_clean, _fb_dq = _extract_url_query_params(_fallback_base)
_fb_extra = {"default_query": _fb_dq} if _fb_dq else {}
client = OpenAI(api_key=custom_key, base_url=_fb_clean, **_fb_extra)
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
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,
@@ -2167,8 +1922,8 @@ def resolve_provider_client(
):
client = CodexAuxiliaryClient(client, final_model)
else:
client = _wrap_if_needed(client, final_model, openai_base, custom_key)
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
client = _wrap_if_needed(client, final_model, custom_base)
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
logger.warning(
"resolve_provider_client: named custom provider %r has no base_url",
@@ -2200,7 +1955,7 @@ def resolve_provider_client(
logger.warning("resolve_provider_client: anthropic requested but no Anthropic credentials found")
return None, None
final_model = _normalize_resolved_model(model or default_model, provider)
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode else (client, final_model))
return (_to_async_client(client, final_model) if async_mode else (client, final_model))
creds = resolve_api_key_provider_credentials(provider)
api_key = str(creds.get("api_key", "")).strip()
@@ -2226,7 +1981,7 @@ def resolve_provider_client(
if is_native_gemini_base_url(base_url):
client = GeminiNativeClient(api_key=api_key, base_url=base_url)
logger.debug("resolve_provider_client: %s (%s)", provider, final_model)
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
# Provider-specific headers
@@ -2234,11 +1989,9 @@ def resolve_provider_client(
if base_url_host_matches(base_url, "api.kimi.com"):
headers["User-Agent"] = "claude-code/0.1.0"
elif base_url_host_matches(base_url, "api.githubcopilot.com"):
from hermes_cli.copilot_auth import copilot_request_headers
from hermes_cli.models import copilot_default_headers
headers.update(copilot_request_headers(
is_agent_turn=True, is_vision=is_vision
))
headers.update(copilot_default_headers())
client = OpenAI(api_key=api_key, base_url=base_url,
**({"default_headers": headers} if headers else {}))
@@ -2260,24 +2013,16 @@ def resolve_provider_client(
# Honor api_mode for any API-key provider (e.g. direct OpenAI with
# codex-family models). The copilot-specific wrapping above handles
# copilot; this covers the general case (#6800). Also rewraps
# Anthropic-wire endpoints (Kimi Coding Plan api.kimi.com/coding,
# /anthropic-suffixed gateways) so named providers like kimi-coding
# land on the right transport without needing per-provider branches.
client = _wrap_if_needed(client, final_model, base_url, api_key)
# copilot; this covers the general case (#6800).
client = _wrap_if_needed(client, final_model, base_url)
logger.debug("resolve_provider_client: %s (%s)", provider, final_model)
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
if pconfig.auth_type == "external_process":
creds = resolve_external_process_provider_credentials(provider)
final_model = _normalize_resolved_model(
model
or (main_runtime.get("model") if main_runtime else None)
or _read_main_model(),
provider,
)
final_model = _normalize_resolved_model(model or _read_main_model(), provider)
if provider == "copilot-acp":
api_key = str(creds.get("api_key", "")).strip()
base_url = str(creds.get("base_url", "")).strip()
@@ -2304,7 +2049,7 @@ def resolve_provider_client(
args=args,
)
logger.debug("resolve_provider_client: %s (%s)", provider, final_model)
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
logger.warning("resolve_provider_client: external-process provider %s not "
"directly supported", provider)
@@ -2340,7 +2085,7 @@ def resolve_provider_client(
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, is_vision=is_vision) if async_mode
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
elif pconfig.auth_type in ("oauth_device_code", "oauth_external"):
@@ -2415,13 +2160,8 @@ def _normalize_vision_provider(provider: Optional[str]) -> str:
return _normalize_aux_provider(provider)
def _resolve_strict_vision_backend(
provider: str,
model: Optional[str] = None,
) -> Tuple[Optional[Any], Optional[str]]:
def _resolve_strict_vision_backend(provider: str) -> Tuple[Optional[Any], Optional[str]]:
provider = _normalize_vision_provider(provider)
if provider == "copilot":
return resolve_provider_client("copilot", model, is_vision=True)
if provider == "openrouter":
return _try_openrouter()
if provider == "nous":
@@ -2489,7 +2229,7 @@ def resolve_vision_provider_client(
return resolved_provider, None, None
final_model = resolved_model or default_model
if async_mode:
async_client, async_model = _to_async_client(sync_client, final_model, is_vision=True)
async_client, async_model = _to_async_client(sync_client, final_model)
return resolved_provider, async_client, async_model
return resolved_provider, sync_client, final_model
@@ -2521,11 +2261,8 @@ def resolve_vision_provider_client(
main_provider = _read_main_provider()
main_model = _read_main_model()
if main_provider and main_provider not in ("auto", ""):
vision_model = _PROVIDER_VISION_MODELS.get(main_provider, main_model)
if main_provider == "nous":
sync_client, default_model = _resolve_strict_vision_backend(
main_provider, vision_model
)
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)",
@@ -2533,10 +2270,10 @@ def resolve_vision_provider_client(
)
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,
is_vision=True)
api_mode=resolved_api_mode)
if rpc_client is not None:
logger.info(
"Vision auto-detect: using main provider %s (%s)",
@@ -2558,14 +2295,11 @@ def resolve_vision_provider_client(
return None, None, None
if requested in _VISION_AUTO_PROVIDER_ORDER:
sync_client, default_model = _resolve_strict_vision_backend(
requested, resolved_model
)
sync_client, default_model = _resolve_strict_vision_backend(requested)
return _finalize(requested, sync_client, default_model)
client, final_model = _get_cached_client(requested, resolved_model, async_mode,
api_mode=resolved_api_mode,
is_vision=True)
api_mode=resolved_api_mode)
if client is None:
return requested, None, None
return requested, client, final_model
@@ -2629,11 +2363,10 @@ def _client_cache_key(
api_key: Optional[str] = None,
api_mode: Optional[str] = None,
main_runtime: Optional[Dict[str, Any]] = None,
is_vision: bool = False,
) -> 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, is_vision)
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:
@@ -2659,7 +2392,6 @@ def _refresh_nous_auxiliary_client(
api_key: Optional[str] = None,
api_mode: Optional[str] = None,
main_runtime: Optional[Dict[str, Any]] = None,
is_vision: bool = False,
) -> 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)
@@ -2677,7 +2409,7 @@ def _refresh_nous_auxiliary_client(
current_loop = _aio.get_event_loop()
except RuntimeError:
pass
client, final_model = _to_async_client(sync_client, final_model or "", is_vision=is_vision)
client, final_model = _to_async_client(sync_client, final_model or "")
else:
client = sync_client
@@ -2688,7 +2420,6 @@ def _refresh_nous_auxiliary_client(
api_key=api_key,
api_mode=api_mode,
main_runtime=main_runtime,
is_vision=is_vision,
)
_store_cached_client(cache_key, client, final_model, bound_loop=current_loop)
return client, final_model
@@ -2800,19 +2531,12 @@ def _is_openrouter_client(client: Any) -> bool:
return False
def _cached_client_accepts_slash_models(client: Any, cached_default: Optional[str]) -> bool:
"""Best-effort check for cached clients that accept ``vendor/model`` IDs."""
if _is_openrouter_client(client):
return True
return bool(cached_default and "/" in cached_default)
def _compat_model(client: Any, model: Optional[str], cached_default: Optional[str]) -> Optional[str]:
"""Keep slash-bearing model IDs only for cached clients that support them.
"""Drop OpenRouter-format model slugs (with '/') for non-OpenRouter clients.
Mirrors the guard in resolve_provider_client() which is skipped on cache hits.
"""
if model and "/" in model and not _cached_client_accepts_slash_models(client, cached_default):
if model and "/" in model and not _is_openrouter_client(client):
return cached_default
return model or cached_default
@@ -2825,7 +2549,6 @@ def _get_cached_client(
api_key: str = None,
api_mode: str = None,
main_runtime: Optional[Dict[str, Any]] = None,
is_vision: bool = False,
) -> Tuple[Optional[Any], Optional[str]]:
"""Get or create a cached client for the given provider.
@@ -2862,7 +2585,6 @@ def _get_cached_client(
api_key=api_key,
api_mode=api_mode,
main_runtime=main_runtime,
is_vision=is_vision,
)
with _client_cache_lock:
if cache_key in _client_cache:
@@ -2894,7 +2616,6 @@ def _get_cached_client(
explicit_api_key=api_key,
api_mode=api_mode,
main_runtime=runtime,
is_vision=is_vision,
)
if client is not None:
# For async clients, remember which loop they were created on so we
@@ -3358,7 +3079,6 @@ def call_llm(
api_key=resolved_api_key,
api_mode=resolved_api_mode,
main_runtime=main_runtime,
is_vision=(task == "vision"),
)
if refreshed_client is not None:
logger.info("Auxiliary %s: refreshed Nous runtime credentials after 401, retrying",
@@ -3649,7 +3369,6 @@ async def async_call_llm(
base_url=resolved_base_url,
api_key=resolved_api_key,
api_mode=resolved_api_mode,
is_vision=(task == "vision"),
)
if refreshed_client is not None:
logger.info("Auxiliary %s (async): refreshed Nous runtime credentials after 401, retrying",
@@ -3718,9 +3437,7 @@ async def async_call_llm(
extra_body=effective_extra_body,
base_url=str(getattr(fb_client, "base_url", "") or ""))
# Convert sync fallback client to async
async_fb, async_fb_model = _to_async_client(
fb_client, fb_model or "", is_vision=(task == "vision")
)
async_fb, async_fb_model = _to_async_client(fb_client, fb_model or "")
if async_fb_model and async_fb_model != fb_kwargs.get("model"):
fb_kwargs["model"] = async_fb_model
return _validate_llm_response(
+3 -41
View File
@@ -291,52 +291,14 @@ def has_aws_credentials(env: Optional[Dict[str, str]] = None) -> bool:
def resolve_bedrock_region(env: Optional[Dict[str, str]] = None) -> str:
"""Resolve the AWS region for Bedrock API calls.
Priority:
1. AWS_REGION env var
2. AWS_DEFAULT_REGION env var
3. boto3/botocore configured region (from ~/.aws/config or SSO profile)
4. us-east-1 (hard fallback)
The boto3 fallback is critical for EU/AP users who configure their region
in ~/.aws/config via a named profile rather than env vars — without it,
live model discovery would always return us.* profile IDs regardless of
the user's actual region.
Priority: AWS_REGION → AWS_DEFAULT_REGION → us-east-1 (fallback).
"""
env = env if env is not None else os.environ
explicit = (
return (
env.get("AWS_REGION", "").strip()
or env.get("AWS_DEFAULT_REGION", "").strip()
or "us-east-1"
)
if explicit:
return explicit
try:
import botocore.session
region = botocore.session.get_session().get_config_variable("region")
if region:
return region
except Exception:
pass
return "us-east-1"
def bedrock_model_ids_or_none() -> Optional[List[str]]:
"""Live-discover Bedrock model IDs for the active region.
Returns a list of model ID strings if discovery succeeds and yields
at least one model, or ``None`` on failure / empty result. Callers
should fall back to the static curated list when ``None`` is returned.
This helper consolidates the discover → extract-ids → fallback
pattern that was previously duplicated across ``provider_model_ids``,
``list_authenticated_providers`` section 2, and section 3.
"""
try:
discovered = discover_bedrock_models(resolve_bedrock_region())
if discovered:
return [m["id"] for m in discovered]
except Exception:
pass
return None
# ---------------------------------------------------------------------------
+5 -113
View File
@@ -61,52 +61,9 @@ _PRUNED_TOOL_PLACEHOLDER = "[Old tool output cleared to save context space]"
# Chars per token rough estimate
_CHARS_PER_TOKEN = 4
# Flat token cost per attached image part. Real cost varies by provider and
# dimensions (Anthropic ≈ width×height/750, GPT-4o up to ~1700 for
# high-detail 2048×2048, Gemini 258/tile), but 1600 is a realistic ceiling
# that keeps compression budgeting honest for multi-image conversations.
# Matches Claude Code's IMAGE_TOKEN_ESTIMATE constant.
_IMAGE_TOKEN_ESTIMATE = 1600
# Same figure expressed in the char-budget currency the rest of the
# compressor speaks in. Used when accumulating message "content length"
# for tail-cut decisions.
_IMAGE_CHAR_EQUIVALENT = _IMAGE_TOKEN_ESTIMATE * _CHARS_PER_TOKEN
_SUMMARY_FAILURE_COOLDOWN_SECONDS = 600
def _content_length_for_budget(raw_content: Any) -> int:
"""Return the effective char-length of a message's content for token budgeting.
Plain strings: ``len(content)``. Multimodal lists: sum of text-part
``len(text)`` plus a flat ``_IMAGE_CHAR_EQUIVALENT`` per image part
(``image_url`` / ``input_image`` / Anthropic-style ``image``). This
keeps the compressor from treating a turn with 5 attached images as
near-zero tokens just because the text part is empty.
"""
if isinstance(raw_content, str):
return len(raw_content)
if not isinstance(raw_content, list):
return len(str(raw_content or ""))
total = 0
for p in raw_content:
if isinstance(p, str):
total += len(p)
continue
if not isinstance(p, dict):
total += len(str(p))
continue
ptype = p.get("type")
if ptype in {"image_url", "input_image", "image"}:
total += _IMAGE_CHAR_EQUIVALENT
else:
# text / input_text / tool_result-with-text / anything else with
# a text field. Ignore the raw base64 payload inside image_url
# dicts — dimensions don't matter, only whether it's an image.
total += len(p.get("text", "") or "")
return total
def _content_text_for_contains(content: Any) -> str:
"""Return a best-effort text view of message content.
@@ -338,10 +295,6 @@ class ContextCompressor(ContextEngine):
self._context_probe_persistable = False
self._previous_summary = None
self._last_summary_error = None
self._last_summary_dropped_count = 0
self._last_summary_fallback_used = False
self._last_aux_model_failure_error = None
self._last_aux_model_failure_model = None
self._last_compression_savings_pct = 100.0
self._ineffective_compression_count = 0
@@ -445,17 +398,6 @@ class ContextCompressor(ContextEngine):
self._ineffective_compression_count: int = 0
self._summary_failure_cooldown_until: float = 0.0
self._last_summary_error: Optional[str] = None
# When summary generation fails and a static fallback is inserted,
# record how many turns were unrecoverably dropped so callers
# (gateway hygiene, /compress) can surface a visible warning.
self._last_summary_dropped_count: int = 0
self._last_summary_fallback_used: bool = False
# When a user-configured summary model fails and we recover by
# retrying on the main model, record the failure so gateway /
# CLI callers can still warn the user even though compression
# succeeded. Silent recovery would hide the broken config.
self._last_aux_model_failure_error: Optional[str] = None
self._last_aux_model_failure_model: Optional[str] = None
def update_from_response(self, usage: Dict[str, Any]):
"""Update tracked token usage from API response."""
@@ -542,7 +484,7 @@ class ContextCompressor(ContextEngine):
for i in range(len(result) - 1, -1, -1):
msg = result[i]
raw_content = msg.get("content") or ""
content_len = _content_length_for_budget(raw_content)
content_len = sum(len(p.get("text", "")) for p in raw_content) if isinstance(raw_content, list) else len(raw_content)
msg_tokens = content_len // _CHARS_PER_TOKEN + 10
for tc in msg.get("tool_calls") or []:
if isinstance(tc, dict):
@@ -915,50 +857,10 @@ The user has requested that this compaction PRIORITISE preserving all informatio
"Falling back to main model '%s' for compression.",
self.summary_model, e, self.model,
)
# Record the aux-model failure so callers can warn the user
# even if the retry-on-main succeeds — a misconfigured aux
# model is something the user needs to fix.
_err_text = str(e).strip() or e.__class__.__name__
if len(_err_text) > 220:
_err_text = _err_text[:217].rstrip() + "..."
self._last_aux_model_failure_error = _err_text
self._last_aux_model_failure_model = self.summary_model
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
# Unknown-error best-effort retry on main model. Losing N turns of
# context is almost always worse than one extra summary attempt, so
# if we haven't already fallen back and the summary model differs
# from the main model, try once more on main before entering
# cooldown. Errors that DID match _is_model_not_found above are
# already handled by the fast-path retry; this branch catches
# everything else (400s, provider-specific "no route" strings,
# aggregator rejections, etc.) where auto-retry is still safer
# than dropping the turns.
if (
self.summary_model
and self.summary_model != self.model
and not getattr(self, "_summary_model_fallen_back", False)
):
self._summary_model_fallen_back = True
logging.warning(
"Summary model '%s' failed (%s). "
"Retrying on main model '%s' before giving up.",
self.summary_model, e, self.model,
)
# Record the aux-model failure (see 404 branch above) — user
# should know their configured model is broken even if main
# recovers the call.
_err_text = str(e).strip() or e.__class__.__name__
if len(_err_text) > 220:
_err_text = _err_text[:217].rstrip() + "..."
self._last_aux_model_failure_error = _err_text
self._last_aux_model_failure_model = self.summary_model
self.summary_model = "" # empty = use main model
self._summary_failure_cooldown_until = 0.0
return self._generate_summary(turns_to_summarize, focus_topic=focus_topic)
# Transient errors (timeout, rate limit, network) — shorter cooldown
_transient_cooldown = 60
self._summary_failure_cooldown_until = time.monotonic() + _transient_cooldown
@@ -1180,9 +1082,8 @@ The user has requested that this compaction PRIORITISE preserving all informatio
for i in range(n - 1, head_end - 1, -1):
msg = messages[i]
raw_content = msg.get("content") or ""
content_len = _content_length_for_budget(raw_content)
msg_tokens = content_len // _CHARS_PER_TOKEN + 10 # +10 for role/metadata
content = msg.get("content") or ""
msg_tokens = len(content) // _CHARS_PER_TOKEN + 10 # +10 for role/metadata
# Include tool call arguments in estimate
for tc in msg.get("tool_calls") or []:
if isinstance(tc, dict):
@@ -1251,13 +1152,6 @@ The user has requested that this compaction PRIORITISE preserving all informatio
related to this topic and be more aggressive about compressing
everything else. Inspired by Claude Code's ``/compact``.
"""
# Reset per-call summary failure state — callers inspect these fields
# after compress() returns to decide whether to surface a warning.
self._last_summary_dropped_count = 0
self._last_summary_fallback_used = False
self._last_summary_error = None
self._last_aux_model_failure_error = None
self._last_aux_model_failure_model = None
n_messages = len(messages)
# Only need head + 3 tail messages minimum (token budget decides the real tail size)
_min_for_compress = self.protect_first_n + 3 + 1
@@ -1336,13 +1230,11 @@ The user has requested that this compaction PRIORITISE preserving all informatio
if not self.quiet_mode:
logger.warning("Summary generation failed — inserting static fallback context marker")
n_dropped = compress_end - compress_start
self._last_summary_dropped_count = n_dropped
self._last_summary_fallback_used = True
summary = (
f"{SUMMARY_PREFIX}\n"
f"Summary generation was unavailable. {n_dropped} message(s) were "
f"Summary generation was unavailable. {n_dropped} conversation turns were "
f"removed to free context space but could not be summarized. The removed "
f"messages contained earlier work in this session. Continue based on the "
f"turns contained earlier work in this session. Continue based on the "
f"recent messages below and the current state of any files or resources."
)
+4 -82
View File
@@ -7,13 +7,13 @@ import random
import threading
import time
import uuid
import os
import re
from dataclasses import dataclass, fields, replace
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,
@@ -455,70 +455,6 @@ class CredentialPool:
logger.debug("Failed to sync from credentials file: %s", exc)
return entry
def _sync_codex_entry_from_auth_store(self, entry: PooledCredential) -> PooledCredential:
"""Sync a Codex device_code pool entry from auth.json if tokens differ.
When a Codex OAuth access token expires (or the ChatGPT account hits
its 5h/weekly quota), the pool entry gets marked ``STATUS_EXHAUSTED``
with a ``last_error_reset_at`` that can be many hours in the future.
Meanwhile the user may run ``hermes model`` / ``hermes auth`` which
performs a fresh device-code login and writes new tokens to
``auth.json`` under ``_auth_store_lock``. Without this sync the pool
entry stays frozen until ``last_error_reset_at`` elapses — even
though fresh credentials are sitting on disk — and every request
fails with "no available entries (all exhausted or empty)".
Mirrors the Nous/Anthropic resync paths above. Only applies to
device_code-sourced entries; env/API-key-sourced entries have no
auth.json shadow to sync from.
"""
if self.provider != "openai-codex" or entry.source != "device_code":
return entry
try:
with _auth_store_lock():
auth_store = _load_auth_store()
state = _load_provider_state(auth_store, "openai-codex")
if not isinstance(state, dict):
return entry
tokens = state.get("tokens")
if not isinstance(tokens, dict):
return entry
store_access = tokens.get("access_token", "")
store_refresh = tokens.get("refresh_token", "")
# Adopt auth.json tokens when either side differs. Codex refresh
# tokens are single-use too, so a fresh refresh_token from
# another process means our entry's pair is consumed/stale.
entry_access = entry.access_token or ""
entry_refresh = entry.refresh_token or ""
if store_access and (
store_access != entry_access
or (store_refresh and store_refresh != entry_refresh)
):
logger.debug(
"Pool entry %s: syncing Codex tokens from auth.json "
"(refreshed by another process)",
entry.id,
)
field_updates: Dict[str, Any] = {
"access_token": store_access,
"refresh_token": store_refresh or entry.refresh_token,
"last_status": None,
"last_status_at": None,
"last_error_code": None,
"last_error_reason": None,
"last_error_message": None,
"last_error_reset_at": None,
}
if state.get("last_refresh"):
field_updates["last_refresh"] = state["last_refresh"]
updated = replace(entry, **field_updates)
self._replace_entry(entry, updated)
self._persist()
return updated
except Exception as exc:
logger.debug("Failed to sync Codex entry from auth.json: %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.
@@ -851,18 +787,6 @@ class CredentialPool:
if synced is not entry:
entry = synced
cleared_any = True
# For openai-codex entries, same pattern: the user may have
# re-authed via `hermes model` / `hermes auth` after a 429/401,
# leaving fresh tokens on disk while the pool entry is still
# frozen behind last_error_reset_at (can be hours in the
# future for ChatGPT weekly windows).
if (self.provider == "openai-codex"
and entry.source == "device_code"
and entry.last_status == STATUS_EXHAUSTED):
synced = self._sync_codex_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:
@@ -1349,8 +1273,7 @@ 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):
@@ -1376,7 +1299,7 @@ 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":
@@ -1387,8 +1310,7 @@ 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}"
+1
View File
@@ -47,6 +47,7 @@ from __future__ import annotations
import os
from dataclasses import dataclass, field
from pathlib import Path
from typing import Callable, List, Optional
+456
View File
@@ -0,0 +1,456 @@
"""Curator — background skill maintenance orchestrator.
The curator is an auxiliary-model task that periodically reviews agent-created
skills and maintains the collection. It runs inactivity-triggered (no cron
daemon): when the agent is idle and the last curator run was longer than
``interval_hours`` ago, ``maybe_run_curator()`` spawns a forked AIAgent to do
the review.
Responsibilities:
- Auto-transition lifecycle states based on last_used_at timestamps
- Spawn a background review agent that can pin / archive / consolidate /
patch agent-created skills via skill_manage
- Persist curator state (last_run_at, paused, etc.) in .curator_state
Strict invariants:
- Only touches agent-created skills (see tools/skill_usage.is_agent_created)
- Never auto-deletes — only archives. Archive is recoverable.
- Pinned skills bypass all auto-transitions
- Uses the auxiliary client; never touches the main session's prompt cache
"""
from __future__ import annotations
import json
import logging
import os
import tempfile
import threading
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Any, Callable, Dict, Optional
from hermes_constants import get_hermes_home
from tools import skill_usage
logger = logging.getLogger(__name__)
DEFAULT_INTERVAL_HOURS = 24 * 7 # 7 days
DEFAULT_MIN_IDLE_HOURS = 2
DEFAULT_STALE_AFTER_DAYS = 30
DEFAULT_ARCHIVE_AFTER_DAYS = 90
# ---------------------------------------------------------------------------
# .curator_state — persistent scheduler + status
# ---------------------------------------------------------------------------
def _state_file() -> Path:
return get_hermes_home() / "skills" / ".curator_state"
def _default_state() -> Dict[str, Any]:
return {
"last_run_at": None,
"last_run_duration_seconds": None,
"last_run_summary": None,
"paused": False,
"run_count": 0,
}
def load_state() -> Dict[str, Any]:
path = _state_file()
if not path.exists():
return _default_state()
try:
data = json.loads(path.read_text(encoding="utf-8"))
if isinstance(data, dict):
base = _default_state()
base.update({k: v for k, v in data.items() if k in base or k.startswith("_")})
return base
except (OSError, json.JSONDecodeError) as e:
logger.debug("Failed to read curator state: %s", e)
return _default_state()
def save_state(data: Dict[str, Any]) -> None:
path = _state_file()
try:
path.parent.mkdir(parents=True, exist_ok=True)
fd, tmp = tempfile.mkstemp(dir=str(path.parent), prefix=".curator_state_", suffix=".tmp")
try:
with os.fdopen(fd, "w", encoding="utf-8") as f:
json.dump(data, f, indent=2, sort_keys=True, ensure_ascii=False)
f.flush()
os.fsync(f.fileno())
os.replace(tmp, path)
except BaseException:
try:
os.unlink(tmp)
except OSError:
pass
raise
except Exception as e:
logger.debug("Failed to save curator state: %s", e, exc_info=True)
def set_paused(paused: bool) -> None:
state = load_state()
state["paused"] = bool(paused)
save_state(state)
def is_paused() -> bool:
return bool(load_state().get("paused"))
# ---------------------------------------------------------------------------
# Config access
# ---------------------------------------------------------------------------
def _load_config() -> Dict[str, Any]:
"""Read curator.* config from ~/.hermes/config.yaml. Tolerates missing file."""
try:
from hermes_cli.config import load_config
cfg = load_config()
except Exception as e:
logger.debug("Failed to load config for curator: %s", e)
return {}
if not isinstance(cfg, dict):
return {}
cur = cfg.get("curator") or {}
if not isinstance(cur, dict):
return {}
return cur
def is_enabled() -> bool:
"""Default ON when no config says otherwise."""
cfg = _load_config()
return bool(cfg.get("enabled", True))
def get_interval_hours() -> int:
cfg = _load_config()
try:
return int(cfg.get("interval_hours", DEFAULT_INTERVAL_HOURS))
except (TypeError, ValueError):
return DEFAULT_INTERVAL_HOURS
def get_min_idle_hours() -> float:
cfg = _load_config()
try:
return float(cfg.get("min_idle_hours", DEFAULT_MIN_IDLE_HOURS))
except (TypeError, ValueError):
return DEFAULT_MIN_IDLE_HOURS
def get_stale_after_days() -> int:
cfg = _load_config()
try:
return int(cfg.get("stale_after_days", DEFAULT_STALE_AFTER_DAYS))
except (TypeError, ValueError):
return DEFAULT_STALE_AFTER_DAYS
def get_archive_after_days() -> int:
cfg = _load_config()
try:
return int(cfg.get("archive_after_days", DEFAULT_ARCHIVE_AFTER_DAYS))
except (TypeError, ValueError):
return DEFAULT_ARCHIVE_AFTER_DAYS
# ---------------------------------------------------------------------------
# Idle / interval check
# ---------------------------------------------------------------------------
def _parse_iso(ts: Optional[str]) -> Optional[datetime]:
if not ts:
return None
try:
return datetime.fromisoformat(ts)
except (TypeError, ValueError):
return None
def should_run_now(now: Optional[datetime] = None) -> bool:
"""Return True if the curator should run immediately.
Gates:
- curator.enabled == True
- not paused
- last_run_at missing, OR older than interval_hours
The idle check (min_idle_hours) is applied at the call site where we know
whether an agent is actively running — here we only enforce the static
gates.
"""
if not is_enabled():
return False
if is_paused():
return False
state = load_state()
last = _parse_iso(state.get("last_run_at"))
if last is None:
return True
if now is None:
now = datetime.now(timezone.utc)
if last.tzinfo is None:
last = last.replace(tzinfo=timezone.utc)
interval = timedelta(hours=get_interval_hours())
return (now - last) >= interval
# ---------------------------------------------------------------------------
# Automatic state transitions (pure function, no LLM)
# ---------------------------------------------------------------------------
def apply_automatic_transitions(now: Optional[datetime] = None) -> Dict[str, int]:
"""Walk every agent-created skill and move active/stale/archived based on
last_used_at. Pinned skills are never touched. Returns a counter dict
describing what changed."""
from tools import skill_usage as _u
if now is None:
now = datetime.now(timezone.utc)
stale_cutoff = now - timedelta(days=get_stale_after_days())
archive_cutoff = now - timedelta(days=get_archive_after_days())
counts = {"marked_stale": 0, "archived": 0, "reactivated": 0, "checked": 0}
for row in _u.agent_created_report():
counts["checked"] += 1
name = row["name"]
if row.get("pinned"):
continue
last_used = _parse_iso(row.get("last_used_at"))
# If never used, treat as using created_at as the anchor so new skills
# don't immediately archive themselves.
anchor = last_used or _parse_iso(row.get("created_at")) or now
if anchor.tzinfo is None:
anchor = anchor.replace(tzinfo=timezone.utc)
current = row.get("state", _u.STATE_ACTIVE)
if anchor <= archive_cutoff and current != _u.STATE_ARCHIVED:
ok, _msg = _u.archive_skill(name)
if ok:
counts["archived"] += 1
elif anchor <= stale_cutoff and current == _u.STATE_ACTIVE:
_u.set_state(name, _u.STATE_STALE)
counts["marked_stale"] += 1
elif anchor > stale_cutoff and current == _u.STATE_STALE:
# Skill got used again after being marked stale — reactivate.
_u.set_state(name, _u.STATE_ACTIVE)
counts["reactivated"] += 1
return counts
# ---------------------------------------------------------------------------
# Review prompt for the forked agent
# ---------------------------------------------------------------------------
CURATOR_REVIEW_PROMPT = (
"You are running as Hermes' background skill CURATOR.\n\n"
"Your job is to maintain the collection of AGENT-CREATED skills. Review "
"each candidate below and decide what to do.\n\n"
"Rules — all load-bearing, do not violate:\n"
"1. You MUST NOT touch bundled or hub-installed skills. The candidate list "
"below is already filtered to agent-created skills only.\n"
"2. You MUST NOT delete any skill. Archiving (moving the skill's directory "
"into ~/.hermes/skills/.archive/) is the maximum action. Archives are "
"recoverable; deletion is not.\n"
"3. You MUST NOT touch skills shown as pinned=yes. Skip them.\n"
"4. Prefer GENERALIZING overlapping skills by patching the stronger one "
"and archiving the weaker, rather than leaving two narrow skills in the "
"collection.\n\n"
"Your toolset:\n"
" - skills_list, skill_view — read the current landscape\n"
" - skill_manage action=patch — fix stale commands, wrong paths, or "
"merge two overlapping skills by broadening the stronger one\n"
" - terminal — move a skill directory into the archive, "
"e.g. mv ~/.hermes/skills/<skill-dir> ~/.hermes/skills/.archive/\n\n"
"For each candidate, decide one of:\n"
" keep — leave as-is (most common default; don't over-curate)\n"
" patch — skill_manage action=patch to fix stale commands, wrong "
"paths, or env-specific claims that are no longer true\n"
" consolidate — two skills overlap: patch the stronger one to absorb "
"the weaker (skill_manage), then mv the weaker directory to .archive/\n"
" archive — the skill is genuinely obsolete and has not been used "
"recently: mv its directory to ~/.hermes/skills/.archive/\n\n"
"Start by calling skills_list and skill_view on anything you consider "
"patching or consolidating. Be conservative — if in doubt, keep. "
"When you are done, write a one-sentence summary of what you changed."
)
# ---------------------------------------------------------------------------
# Orchestrator — spawn a forked AIAgent for the LLM review pass
# ---------------------------------------------------------------------------
def _render_candidate_list() -> str:
"""Human/agent-readable list of agent-created skills with usage stats."""
rows = skill_usage.agent_created_report()
if not rows:
return "No agent-created skills to review."
lines = [f"Agent-created skills ({len(rows)}):\n"]
for r in rows:
lines.append(
f"- {r['name']} "
f"state={r['state']} "
f"pinned={'yes' if r.get('pinned') else 'no'} "
f"use={r.get('use_count', 0)} "
f"view={r.get('view_count', 0)} "
f"patches={r.get('patch_count', 0)} "
f"last_used={r.get('last_used_at') or 'never'}"
)
return "\n".join(lines)
def run_curator_review(
on_summary: Optional[Callable[[str], None]] = None,
synchronous: bool = False,
) -> Dict[str, Any]:
"""Execute a single curator review pass.
Steps:
1. Apply automatic state transitions (pure, no LLM).
2. If there are agent-created skills, spawn a forked AIAgent that runs
the LLM review prompt against the current candidate list.
3. Update .curator_state with last_run_at and a one-line summary.
4. Invoke *on_summary* with a user-visible description.
If *synchronous* is True, the LLM review runs in the calling thread; the
default is to spawn a daemon thread so the caller returns immediately.
"""
start = datetime.now(timezone.utc)
counts = apply_automatic_transitions(now=start)
auto_summary_parts = []
if counts["marked_stale"]:
auto_summary_parts.append(f"{counts['marked_stale']} marked stale")
if counts["archived"]:
auto_summary_parts.append(f"{counts['archived']} archived")
if counts["reactivated"]:
auto_summary_parts.append(f"{counts['reactivated']} reactivated")
auto_summary = ", ".join(auto_summary_parts) if auto_summary_parts else "no changes"
# Persist state before the LLM pass so a crash mid-review still records
# the run and doesn't immediately re-trigger.
state = load_state()
state["last_run_at"] = start.isoformat()
state["run_count"] = int(state.get("run_count", 0)) + 1
state["last_run_summary"] = f"auto: {auto_summary}"
save_state(state)
def _llm_pass():
nonlocal auto_summary
try:
candidate_list = _render_candidate_list()
if "No agent-created skills" in candidate_list:
final_summary = f"auto: {auto_summary}; llm: skipped (no candidates)"
else:
prompt = f"{CURATOR_REVIEW_PROMPT}\n\n{candidate_list}"
llm_summary = _run_llm_review(prompt)
final_summary = f"auto: {auto_summary}; llm: {llm_summary}"
except Exception as e:
logger.debug("Curator LLM pass failed: %s", e, exc_info=True)
final_summary = f"auto: {auto_summary}; llm: error ({e})"
elapsed = (datetime.now(timezone.utc) - start).total_seconds()
state2 = load_state()
state2["last_run_duration_seconds"] = elapsed
state2["last_run_summary"] = final_summary
save_state(state2)
if on_summary:
try:
on_summary(f"curator: {final_summary}")
except Exception:
pass
if synchronous:
_llm_pass()
else:
t = threading.Thread(target=_llm_pass, daemon=True, name="curator-review")
t.start()
return {
"started_at": start.isoformat(),
"auto_transitions": counts,
"summary_so_far": auto_summary,
}
def _run_llm_review(prompt: str) -> str:
"""Spawn an AIAgent fork to run the curator review prompt. Returns a short
summary of what the model said in its final response."""
import contextlib
try:
from run_agent import AIAgent
except Exception as e:
return f"AIAgent import failed: {e}"
review_agent = None
try:
with open(os.devnull, "w") as _devnull, \
contextlib.redirect_stdout(_devnull), \
contextlib.redirect_stderr(_devnull):
review_agent = AIAgent(
max_iterations=8,
quiet_mode=True,
platform="curator",
skip_context_files=True,
skip_memory=True,
)
# Disable recursive nudges — the curator must never spawn its own review.
review_agent._memory_nudge_interval = 0
review_agent._skill_nudge_interval = 0
result = review_agent.run_conversation(user_message=prompt)
final = ""
if isinstance(result, dict):
final = str(result.get("final_response") or "").strip()
return (final[:240] + "") if len(final) > 240 else (final or "no change")
except Exception as e:
return f"error: {e}"
finally:
if review_agent is not None:
try:
review_agent.close()
except Exception:
pass
# ---------------------------------------------------------------------------
# Public entrypoint for the session-start hook
# ---------------------------------------------------------------------------
def maybe_run_curator(
*,
idle_for_seconds: Optional[float] = None,
on_summary: Optional[Callable[[str], None]] = None,
) -> Optional[Dict[str, Any]]:
"""Best-effort: run a curator pass if all gates pass. Returns the result
dict if a pass was started, else None. Never raises."""
try:
if not should_run_now():
return None
# Idle gating: only enforce when the caller provided a measurement.
if idle_for_seconds is not None:
min_idle_s = get_min_idle_hours() * 3600.0
if idle_for_seconds < min_idle_s:
return None
return run_curator_review(on_summary=on_summary)
except Exception as e:
logger.debug("maybe_run_curator failed: %s", e, exc_info=True)
return None
-32
View File
@@ -42,7 +42,6 @@ class FailoverReason(enum.Enum):
# Context / payload
context_overflow = "context_overflow" # Context too large — compress, not failover
payload_too_large = "payload_too_large" # 413 — compress payload
image_too_large = "image_too_large" # Native image part exceeds provider's per-image limit — shrink and retry
# Model
model_not_found = "model_not_found" # 404 or invalid model — fallback to different model
@@ -91,7 +90,6 @@ class ClassifiedError:
_BILLING_PATTERNS = [
"insufficient credits",
"insufficient_quota",
"insufficient balance",
"credit balance",
"credits have been exhausted",
"top up your credits",
@@ -149,20 +147,6 @@ _PAYLOAD_TOO_LARGE_PATTERNS = [
"error code: 413",
]
# Image-size patterns. Matched against 400 bodies (not 413) because most
# providers return a 400 with a specific image-too-big message before the
# whole request hits the 413 size limit. Anthropic's wording is the most
# important here (hard 5 MB per image, returned as
# "messages.N.content.K.image.source.base64: image exceeds 5 MB maximum").
_IMAGE_TOO_LARGE_PATTERNS = [
"image exceeds", # Anthropic: "image exceeds 5 MB maximum"
"image too large", # generic
"image_too_large", # error_code variant
"image size exceeds", # variant
# "request_too_large" on a request known to contain an image → image is
# the likely culprit; we still try the shrink path before giving up.
]
# Context overflow patterns
_CONTEXT_OVERFLOW_PATTERNS = [
"context length",
@@ -687,15 +671,6 @@ def _classify_400(
) -> ClassifiedError:
"""Classify 400 Bad Request — context overflow, format error, or generic."""
# Image-too-large from 400 (Anthropic's 5 MB per-image check fires this way).
# Must be checked BEFORE context_overflow because messages can trip both
# patterns ("exceeds" + "image") and image-shrink is a cheaper recovery.
if any(p in error_msg for p in _IMAGE_TOO_LARGE_PATTERNS):
return result_fn(
FailoverReason.image_too_large,
retryable=True,
)
# Context overflow from 400
if any(p in error_msg for p in _CONTEXT_OVERFLOW_PATTERNS):
return result_fn(
@@ -823,13 +798,6 @@ def _classify_by_message(
should_compress=True,
)
# Image-too-large patterns (from message text when no status_code)
if any(p in error_msg for p in _IMAGE_TOO_LARGE_PATTERNS):
return result_fn(
FailoverReason.image_too_large,
retryable=True,
)
# Usage-limit patterns need the same disambiguation as 402: some providers
# surface "usage limit" errors without an HTTP status code. A transient
# signal ("try again", "resets at", …) means it's a periodic quota, not
+2
View File
@@ -30,6 +30,7 @@ from __future__ import annotations
import json
import logging
import os
import time
import uuid
from types import SimpleNamespace
@@ -41,6 +42,7 @@ from agent import google_oauth
from agent.gemini_schema import sanitize_gemini_tool_parameters
from agent.google_code_assist import (
CODE_ASSIST_ENDPOINT,
FREE_TIER_ID,
CodeAssistError,
ProjectContext,
resolve_project_context,
+1 -1
View File
@@ -2,7 +2,7 @@
from __future__ import annotations
from typing import Any, Dict
from typing import Any, Dict, List
# Gemini's ``FunctionDeclaration.parameters`` field accepts the ``Schema``
# object, which is only a subset of OpenAPI 3.0 / JSON Schema. Strip fields
+1
View File
@@ -29,6 +29,7 @@ from __future__ import annotations
import json
import logging
import os
import time
import urllib.error
import urllib.parse
+3 -3
View File
@@ -49,13 +49,14 @@ import json
import logging
import os
import secrets
import socket
import stat
import threading
import time
import urllib.error
import urllib.parse
import urllib.request
from dataclasses import dataclass
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Dict, Optional, Tuple
@@ -97,7 +98,6 @@ _DEFAULT_CLIENT_SECRET = f"GOCSPX-{_PUBLIC_CLIENT_SECRET_SUFFIX}"
# Regex patterns for fallback scraping from an installed gemini-cli.
import re as _re
from utils import atomic_replace
_CLIENT_ID_PATTERN = _re.compile(
r"OAUTH_CLIENT_ID\s*=\s*['\"]([0-9]+-[a-z0-9]+\.apps\.googleusercontent\.com)['\"]"
)
@@ -499,7 +499,7 @@ def save_credentials(creds: GoogleCredentials) -> Path:
fh.flush()
os.fsync(fh.fileno())
os.chmod(tmp_path, stat.S_IRUSR | stat.S_IWUSR)
atomic_replace(tmp_path, path)
os.replace(tmp_path, path)
finally:
try:
if tmp_path.exists():
-236
View File
@@ -1,236 +0,0 @@
"""Routing helpers for inbound user-attached images.
Two modes:
native attach images as OpenAI-style ``image_url`` content parts on the
user turn. Provider adapters (Anthropic, Gemini, Bedrock, Codex,
OpenAI chat.completions) already translate these into their
vendor-specific multimodal formats.
text run ``vision_analyze`` on each image up-front and prepend the
description to the user's text. The model never sees the pixels;
it only sees a lossy text summary. This is the pre-existing
behaviour and still the right choice for non-vision models.
The decision is made once per message turn by :func:`decide_image_input_mode`.
It reads ``agent.image_input_mode`` from config.yaml (``auto`` | ``native``
| ``text``, default ``auto``) and the active model's capability metadata.
In ``auto`` mode:
- If the user has explicitly configured ``auxiliary.vision.provider``
(i.e. not ``auto`` and not empty), we assume they want the text pipeline
regardless of the main model they've opted in to a specific vision
backend for a reason (cost, quality, local-only, etc.).
- Otherwise, if the active model reports ``supports_vision=True`` in its
models.dev metadata, we attach natively.
- Otherwise (non-vision model, no explicit override), we fall back to text.
This keeps ``vision_analyze`` surfaced as a tool in every session skills
and agent flows that chain it (browser screenshots, deeper inspection of
URL-referenced images, style-gating loops) keep working. The routing only
affects *how user-attached images on the current turn* are presented to the
main model.
"""
from __future__ import annotations
import base64
import logging
import mimetypes
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
logger = logging.getLogger(__name__)
_VALID_MODES = frozenset({"auto", "native", "text"})
def _coerce_mode(raw: Any) -> str:
"""Normalize a config value into one of the valid modes."""
if not isinstance(raw, str):
return "auto"
val = raw.strip().lower()
if val in _VALID_MODES:
return val
return "auto"
def _explicit_aux_vision_override(cfg: Optional[Dict[str, Any]]) -> bool:
"""True when the user configured a specific auxiliary vision backend.
An explicit override means the user *wants* the text pipeline (they're
paying for a dedicated vision model), so we don't silently bypass it.
"""
if not isinstance(cfg, dict):
return False
aux = cfg.get("auxiliary") or {}
if not isinstance(aux, dict):
return False
vision = aux.get("vision") or {}
if not isinstance(vision, dict):
return False
provider = str(vision.get("provider") or "").strip().lower()
model = str(vision.get("model") or "").strip()
base_url = str(vision.get("base_url") or "").strip()
# "auto" / "" / blank = not explicit
if provider in ("", "auto") and not model and not base_url:
return False
return True
def _lookup_supports_vision(provider: str, model: str) -> Optional[bool]:
"""Return True/False if we can resolve caps, None if unknown."""
if not provider or not model:
return None
try:
from agent.models_dev import get_model_capabilities
caps = get_model_capabilities(provider, model)
except Exception as exc: # pragma: no cover - defensive
logger.debug("image_routing: caps lookup failed for %s:%s%s", provider, model, exc)
return None
if caps is None:
return None
return bool(caps.supports_vision)
def decide_image_input_mode(
provider: str,
model: str,
cfg: Optional[Dict[str, Any]],
) -> str:
"""Return ``"native"`` or ``"text"`` for the given turn.
Args:
provider: active inference provider ID (e.g. ``"anthropic"``, ``"openrouter"``).
model: active model slug as it would be sent to the provider.
cfg: loaded config.yaml dict, or None. When None, behaves as auto.
"""
mode_cfg = "auto"
if isinstance(cfg, dict):
agent_cfg = cfg.get("agent") or {}
if isinstance(agent_cfg, dict):
mode_cfg = _coerce_mode(agent_cfg.get("image_input_mode"))
if mode_cfg == "native":
return "native"
if mode_cfg == "text":
return "text"
# auto
if _explicit_aux_vision_override(cfg):
return "text"
supports = _lookup_supports_vision(provider, model)
if supports is True:
return "native"
return "text"
# Image size handling is REACTIVE rather than proactive: we attempt native
# attachment at full size regardless of provider, and rely on
# ``run_agent._try_shrink_image_parts_in_messages`` to shrink + retry if
# the provider rejects the request (e.g. Anthropic's hard 5 MB per-image
# ceiling returned as HTTP 400 "image exceeds 5 MB maximum").
#
# Why reactive: our knowledge of provider ceilings is partial and evolving
# (OpenAI accepts 49 MB+, Anthropic 5 MB, Gemini 100 MB, others unknown).
# A proactive per-provider table would be stale the moment a provider raises
# or lowers its limit, and silently degrading quality for users on providers
# that would have accepted the full image is the worse failure mode.
# The shrink-on-reject path loses 1 API call + maybe 1s of Pillow work when
# it fires, which is cheaper than permanent quality loss.
def _guess_mime(path: Path) -> str:
mime, _ = mimetypes.guess_type(str(path))
if mime and mime.startswith("image/"):
return mime
# mimetypes on some Linux distros mis-maps .jpg; default to jpeg when
# the suffix looks imagey.
suffix = path.suffix.lower()
return {
".jpg": "image/jpeg",
".jpeg": "image/jpeg",
".png": "image/png",
".gif": "image/gif",
".webp": "image/webp",
".bmp": "image/bmp",
}.get(suffix, "image/jpeg")
def _file_to_data_url(path: Path) -> Optional[str]:
"""Encode a local image as a base64 data URL at its native size.
Size limits are NOT enforced here the agent retry loop
(``run_agent._try_shrink_image_parts_in_messages``) shrinks on the
provider's first rejection. Keeping this simple means providers that
accept large images (OpenAI 49 MB+, Gemini 100 MB) don't pay a silent
quality tax just because one other provider is stricter.
Returns None only if the file can't be read (missing, permission
denied, etc.); the caller reports those paths in ``skipped``.
"""
try:
raw = path.read_bytes()
except Exception as exc:
logger.warning("image_routing: failed to read %s%s", path, exc)
return None
mime = _guess_mime(path)
b64 = base64.b64encode(raw).decode("ascii")
return f"data:{mime};base64,{b64}"
def build_native_content_parts(
user_text: str,
image_paths: List[str],
) -> Tuple[List[Dict[str, Any]], List[str]]:
"""Build an OpenAI-style ``content`` list for a user turn.
Shape:
[{"type": "text", "text": "..."},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,..."}},
...]
Images are attached at their native size. If a provider rejects the
request because an image is too large (e.g. Anthropic's 5 MB per-image
ceiling), the agent's retry loop transparently shrinks and retries
once see ``run_agent._try_shrink_image_parts_in_messages``.
Returns (content_parts, skipped_paths). Skipped paths are files that
couldn't be read from disk.
"""
parts: List[Dict[str, Any]] = []
skipped: List[str] = []
text = (user_text or "").strip()
if text:
parts.append({"type": "text", "text": text})
for raw_path in image_paths:
p = Path(raw_path)
if not p.exists() or not p.is_file():
skipped.append(str(raw_path))
continue
data_url = _file_to_data_url(p)
if not data_url:
skipped.append(str(raw_path))
continue
parts.append({
"type": "image_url",
"image_url": {"url": data_url},
})
# If the text was empty, add a neutral prompt so the turn isn't just images.
if not text and any(p.get("type") == "image_url" for p in parts):
parts.insert(0, {"type": "text", "text": "What do you see in this image?"})
return parts, skipped
__all__ = [
"decide_image_input_mode",
"build_native_content_parts",
]
-48
View File
@@ -1,48 +0,0 @@
"""LM Studio reasoning-effort resolution shared by the chat-completions
transport and run_agent's iteration-limit summary path.
LM Studio publishes per-model ``capabilities.reasoning.allowed_options`` (e.g.
``["off","on"]`` for toggle-style models, ``["off","minimal","low"]`` for
graduated models). We map the user's ``reasoning_config`` onto LM Studio's
OpenAI-compatible vocabulary, then clamp against the model's allowed set so
the server doesn't 400 on an unsupported effort.
"""
from __future__ import annotations
from typing import List, Optional
# LM Studio accepts these top-level reasoning_effort values via its
# OpenAI-compatible chat.completions endpoint.
_LM_VALID_EFFORTS = {"none", "minimal", "low", "medium", "high", "xhigh"}
# Toggle-style models publish allowed_options as ["off","on"] in /api/v1/models.
# Map them onto the OpenAI-compatible request vocabulary.
_LM_EFFORT_ALIASES = {"off": "none", "on": "medium"}
def resolve_lmstudio_effort(
reasoning_config: Optional[dict],
allowed_options: Optional[List[str]],
) -> Optional[str]:
"""Return the ``reasoning_effort`` string to send to LM Studio, or ``None``.
``None`` means "omit the field": the user picked a level the model can't
honor, so let LM Studio fall back to the model's declared default rather
than silently substituting a different effort. When ``allowed_options`` is
falsy (probe failed), skip clamping and send the resolved effort anyway.
"""
effort = "medium"
if reasoning_config and isinstance(reasoning_config, dict):
if reasoning_config.get("enabled") is False:
effort = "none"
else:
raw = (reasoning_config.get("effort") or "").strip().lower()
raw = _LM_EFFORT_ALIASES.get(raw, raw)
if raw in _LM_VALID_EFFORTS:
effort = raw
if allowed_options:
allowed = {_LM_EFFORT_ALIASES.get(opt, opt) for opt in allowed_options}
if effort not in allowed:
return None
return effort
+6 -114
View File
@@ -28,6 +28,7 @@ Usage in run_agent.py:
from __future__ import annotations
import json
import logging
import re
import inspect
@@ -62,124 +63,15 @@ def sanitize_context(text: str) -> str:
return text
class StreamingContextScrubber:
"""Stateful scrubber for streaming text that may contain split memory-context spans.
The one-shot ``sanitize_context`` regex cannot survive chunk boundaries:
a ``<memory-context>`` opened in one delta and closed in a later delta
leaks its payload to the UI because the non-greedy block regex needs
both tags in one string. This scrubber runs a small state machine
across deltas, holding back partial-tag tails and discarding
everything inside a span (including the system-note line).
Usage::
scrubber = StreamingContextScrubber()
for delta in stream:
visible = scrubber.feed(delta)
if visible:
emit(visible)
trailing = scrubber.flush() # at end of stream
if trailing:
emit(trailing)
The scrubber is re-entrant per agent instance. Callers building new
top-level responses (new turn) should create a fresh scrubber or call
``reset()``.
"""
_OPEN_TAG = "<memory-context>"
_CLOSE_TAG = "</memory-context>"
def __init__(self) -> None:
self._in_span: bool = False
self._buf: str = ""
def reset(self) -> None:
self._in_span = False
self._buf = ""
def feed(self, text: str) -> str:
"""Return the visible portion of ``text`` after scrubbing.
Any trailing fragment that could be the start of an open/close tag
is held back in the internal buffer and surfaced on the next
``feed()`` call or discarded/emitted by ``flush()``.
"""
if not text:
return ""
buf = self._buf + text
self._buf = ""
out: list[str] = []
while buf:
if self._in_span:
idx = buf.lower().find(self._CLOSE_TAG)
if idx == -1:
# Hold back a potential partial close tag; drop the rest
held = self._max_partial_suffix(buf, self._CLOSE_TAG)
self._buf = buf[-held:] if held else ""
return "".join(out)
# Found close — skip span content + tag, continue
buf = buf[idx + len(self._CLOSE_TAG):]
self._in_span = False
else:
idx = buf.lower().find(self._OPEN_TAG)
if idx == -1:
# No open tag — hold back a potential partial open tag
held = self._max_partial_suffix(buf, self._OPEN_TAG)
if held:
out.append(buf[:-held])
self._buf = buf[-held:]
else:
out.append(buf)
return "".join(out)
# Emit text before the tag, enter span
if idx > 0:
out.append(buf[:idx])
buf = buf[idx + len(self._OPEN_TAG):]
self._in_span = True
return "".join(out)
def flush(self) -> str:
"""Emit any held-back buffer at end-of-stream.
If we're still inside an unterminated span the remaining content is
discarded (safer: leaking partial memory context is worse than a
truncated answer). Otherwise the held-back partial-tag tail is
emitted verbatim (it turned out not to be a real tag).
"""
if self._in_span:
self._buf = ""
self._in_span = False
return ""
tail = self._buf
self._buf = ""
return tail
@staticmethod
def _max_partial_suffix(buf: str, tag: str) -> int:
"""Return the length of the longest buf-suffix that is a tag-prefix.
Case-insensitive. Returns 0 if no suffix could start the tag.
"""
tag_lower = tag.lower()
buf_lower = buf.lower()
max_check = min(len(buf_lower), len(tag_lower) - 1)
for i in range(max_check, 0, -1):
if tag_lower.startswith(buf_lower[-i:]):
return i
return 0
def build_memory_context_block(raw_context: str) -> str:
"""Wrap prefetched memory in a fenced block with system note."""
"""Wrap prefetched memory in a fenced block with system note.
The fence prevents the model from treating recalled context as user
discourse. Injected at API-call time only never persisted.
"""
if not raw_context or not raw_context.strip():
return ""
clean = sanitize_context(raw_context)
if clean != raw_context:
logger.warning("memory provider returned pre-wrapped context; stripped")
return (
"<memory-context>\n"
"[System note: The following is recalled memory context, "
+25 -49
View File
@@ -51,8 +51,6 @@ _PROVIDER_PREFIXES: frozenset[str] = frozenset({
"qwen-oauth",
"xiaomi",
"arcee",
"gmi",
"tencent-tokenhub",
"custom", "local",
# Common aliases
"google", "google-gemini", "google-ai-studio",
@@ -61,9 +59,7 @@ _PROVIDER_PREFIXES: frozenset[str] = frozenset({
"ollama",
"stepfun", "opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
"mimo", "xiaomi-mimo",
"tencent", "tokenhub", "tencent-cloud", "tencentmaas",
"arcee-ai", "arceeai",
"gmi-cloud", "gmicloud",
"xai", "x-ai", "x.ai", "grok",
"nvidia", "nim", "nvidia-nim", "nemotron",
"qwen-portal",
@@ -210,8 +206,6 @@ DEFAULT_CONTEXT_LENGTHS = {
"grok": 131072, # catch-all (grok-beta, unknown grok-*)
# Kimi
"kimi": 262144,
# Tencent — Hy3 Preview (Hunyuan) with 256K context window
"hy3-preview": 256000,
# Nemotron — NVIDIA's open-weights series (128K context across all sizes)
"nemotron": 131072,
# Arcee
@@ -313,8 +307,6 @@ _URL_TO_PROVIDER: Dict[str, str] = {
"integrate.api.nvidia.com": "nvidia",
"api.xiaomimimo.com": "xiaomi",
"xiaomimimo.com": "xiaomi",
"api.gmi-serving.com": "gmi",
"tokenhub.tencentmaas.com": "tencent-tokenhub",
"ollama.com": "ollama-cloud",
}
@@ -625,6 +617,8 @@ def fetch_endpoint_model_metadata(
if isinstance(ctx, int) and ctx > 0:
context_length = ctx
break
if context_length is None:
context_length = _extract_context_length(model)
if context_length is not None:
entry["context_length"] = context_length
@@ -708,29 +702,6 @@ def fetch_endpoint_model_metadata(
return {}
def _resolve_endpoint_context_length(
model: str,
base_url: str,
api_key: str = "",
) -> Optional[int]:
"""Resolve context length from an endpoint's live ``/models`` metadata."""
endpoint_metadata = fetch_endpoint_model_metadata(base_url, api_key=api_key)
matched = endpoint_metadata.get(model)
if not matched:
if len(endpoint_metadata) == 1:
matched = next(iter(endpoint_metadata.values()))
else:
for key, entry in endpoint_metadata.items():
if model in key or key in model:
matched = entry
break
if matched:
context_length = matched.get("context_length")
if isinstance(context_length, int):
return context_length
return None
def _get_context_cache_path() -> Path:
"""Return path to the persistent context length cache file."""
from hermes_constants import get_hermes_home
@@ -1014,7 +985,10 @@ def _query_local_context_length(model: str, base_url: str, api_key: str = "") ->
ctx = cfg.get("context_length")
if ctx and isinstance(ctx, (int, float)):
return int(ctx)
break
# Fall back to max_context_length (theoretical model max)
ctx = m.get("max_context_length") or m.get("context_length")
if ctx and isinstance(ctx, (int, float)):
return int(ctx)
# LM Studio / vLLM / llama.cpp: try /v1/models/{model}
resp = client.get(f"{server_url}/v1/models/{model}")
@@ -1276,10 +1250,7 @@ def get_model_context_length(
model = _strip_provider_prefix(model)
# 1. Check persistent cache (model+provider)
# LM Studio is excluded — its loaded context length is transient (the
# user can reload the model with a different context_length at any time
# via /api/v1/models/load), so a stale cached value would mask reloads.
if base_url and provider != "lmstudio":
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
@@ -1324,16 +1295,28 @@ def get_model_context_length(
# returns 128k) instead of the model's full context (400k). models.dev
# has the correct per-provider values and is checked at step 5+.
if _is_custom_endpoint(base_url) and not _is_known_provider_base_url(base_url):
context_length = _resolve_endpoint_context_length(model, base_url, api_key=api_key)
if context_length is not None:
return context_length
endpoint_metadata = fetch_endpoint_model_metadata(base_url, api_key=api_key)
matched = endpoint_metadata.get(model)
if not matched:
# Single-model servers: if only one model is loaded, use it
if len(endpoint_metadata) == 1:
matched = next(iter(endpoint_metadata.values()))
else:
# Fuzzy match: substring in either direction
for key, entry in endpoint_metadata.items():
if model in key or key in model:
matched = entry
break
if matched:
context_length = matched.get("context_length")
if isinstance(context_length, int):
return context_length
if not _is_known_provider_base_url(base_url):
# 3. Try querying local server directly
if is_local_endpoint(base_url):
local_ctx = _query_local_context_length(model, base_url, api_key=api_key)
if local_ctx and local_ctx > 0:
if provider != "lmstudio":
save_context_length(model, base_url, local_ctx)
save_context_length(model, base_url, local_ctx)
return local_ctx
logger.info(
"Could not detect context length for model %r at %s"
@@ -1391,12 +1374,6 @@ def get_model_context_length(
if base_url:
save_context_length(model, base_url, codex_ctx)
return codex_ctx
if effective_provider == "gmi" and base_url:
# GMI exposes authoritative context_length via /models, but it is not
# in models.dev yet. Preserve that higher-fidelity endpoint lookup.
ctx = _resolve_endpoint_context_length(model, base_url, api_key=api_key)
if ctx is not None:
return ctx
if effective_provider:
from agent.models_dev import lookup_models_dev_context
ctx = lookup_models_dev_context(effective_provider, model)
@@ -1423,8 +1400,7 @@ def get_model_context_length(
if base_url and is_local_endpoint(base_url):
local_ctx = _query_local_context_length(model, base_url, api_key=api_key)
if local_ctx and local_ctx > 0:
if provider != "lmstudio":
save_context_length(model, base_url, local_ctx)
save_context_length(model, base_url, local_ctx)
return local_ctx
# 10. Default fallback — 128K
+1 -2
View File
@@ -18,7 +18,6 @@ import os
import tempfile
import time
from typing import Any, Mapping, Optional
from utils import atomic_replace
logger = logging.getLogger(__name__)
@@ -119,7 +118,7 @@ def record_nous_rate_limit(
try:
with os.fdopen(fd, "w") as f:
json.dump(state, f)
atomic_replace(tmp_path, path)
os.replace(tmp_path, path)
except Exception:
# Clean up temp file on failure
try:
+5 -52
View File
@@ -25,7 +25,6 @@ logger = logging.getLogger(__name__)
BUSY_INPUT_FLAG = "busy_input_prompt"
TOOL_PROGRESS_FLAG = "tool_progress_prompt"
OPENCLAW_RESIDUE_FLAG = "openclaw_residue_cleanup"
# -------------------------------------------------------------------------
@@ -44,18 +43,10 @@ def busy_input_hint_gateway(mode: str) -> str:
"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."
"or `/busy status` to check. This notice won't appear again."
)
@@ -64,19 +55,13 @@ def busy_input_hint_cli(mode: str) -> str:
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."
"Use /busy interrupt to make Enter stop the current run instead. "
"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."
"Use /busy queue to queue messages for the next turn instead. "
"This tip only shows once."
)
@@ -95,35 +80,6 @@ def tool_progress_hint_cli() -> str:
)
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
# -------------------------------------------------------------------------
@@ -179,13 +135,10 @@ def mark_seen(config_path: Path, flag: str) -> bool:
__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",
]
-38
View File
@@ -141,12 +141,6 @@ DEFAULT_AGENT_IDENTITY = (
"Be targeted and efficient in your exploration and investigations."
)
HERMES_AGENT_HELP_GUIDANCE = (
"If the user asks about configuring, setting up, or using Hermes Agent "
"itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') "
"before answering. Docs: https://hermes-agent.nousresearch.com/docs"
)
MEMORY_GUIDANCE = (
"You have persistent memory across sessions. Save durable facts using the memory "
"tool: user preferences, environment details, tool quirks, and stable conventions. "
@@ -310,10 +304,6 @@ PLATFORM_HINTS = {
"Standard markdown is automatically converted to Telegram format. "
"Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, "
"`inline code`, ```code blocks```, [links](url), and ## headers. "
"Telegram has NO table syntax — prefer bullet lists or labeled "
"key: value pairs over pipe tables (any tables you do emit are "
"auto-rewritten into row-group bullets, which you can produce "
"directly for cleaner output). "
"You can send media files natively: to deliver a file to the user, "
"include MEDIA:/absolute/path/to/file in your response. Images "
"(.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice "
@@ -432,29 +422,6 @@ 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."
),
}
# ---------------------------------------------------------------------------
@@ -858,11 +825,6 @@ 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 "
+6 -58
View File
@@ -56,12 +56,8 @@ _SENSITIVE_BODY_KEYS = frozenset({
})
# Snapshot at import time so runtime env mutations (e.g. LLM-generated
# `export HERMES_REDACT_SECRETS=true`) cannot enable/disable redaction
# mid-session. OFF by default — user must opt in via
# `security.redact_secrets: true` in config.yaml (bridged to this env var
# in hermes_cli/main.py and gateway/run.py) or `HERMES_REDACT_SECRETS=true`
# in ~/.hermes/.env.
_REDACT_ENABLED = os.getenv("HERMES_REDACT_SECRETS", "").lower() in ("1", "true", "yes", "on")
# `export HERMES_REDACT_SECRETS=false`) cannot disable redaction mid-session.
_REDACT_ENABLED = os.getenv("HERMES_REDACT_SECRETS", "").lower() not in ("0", "false", "no", "off")
# Known API key prefixes -- match the prefix + contiguous token chars
_PREFIX_PATTERNS = [
@@ -184,59 +180,11 @@ _PREFIX_RE = re.compile(
)
def mask_secret(
value: str,
*,
head: int = 4,
tail: int = 4,
floor: int = 12,
placeholder: str = "***",
empty: str = "",
) -> str:
"""Mask a secret for display, preserving ``head`` and ``tail`` characters.
Canonical helper for display-time redaction across Hermes used by
``hermes config``, ``hermes status``, ``hermes dump``, and anywhere
a secret needs to be shown truncated for debuggability while still
keeping the bulk hidden.
Args:
value: The secret to mask. ``None``/empty returns ``empty``.
head: Leading characters to preserve. Default 4.
tail: Trailing characters to preserve. Default 4.
floor: Values shorter than ``head + tail + floor_margin`` are
fully masked (returns ``placeholder``). Default 12
matches the existing config/status/dump convention.
placeholder: Value returned for too-short inputs. Default ``"***"``.
empty: Value returned when ``value`` is falsy (None, ""). The
caller can override this to e.g. ``color("(not set)",
Colors.DIM)`` for user-facing display.
Examples:
>>> mask_secret("sk-proj-abcdef1234567890")
'sk-p...7890'
>>> mask_secret("short") # fully masked
'***'
>>> mask_secret("") # empty default
''
>>> mask_secret("", empty="(not set)") # empty override
'(not set)'
>>> mask_secret("long-token", head=6, tail=4, floor=18)
'***'
"""
if not value:
return empty
if len(value) < floor:
return placeholder
return f"{value[:head]}...{value[-tail:]}"
def _mask_token(token: str) -> str:
"""Mask a log token — conservative 18-char floor, preserves 6 prefix / 4 suffix."""
# Empty input: historically this returned "***" rather than "". Preserve.
if not token:
"""Mask a token, preserving prefix for long tokens."""
if len(token) < 18:
return "***"
return mask_secret(token, head=6, tail=4, floor=18)
return f"{token[:6]}...{token[-4:]}"
def _redact_query_string(query: str) -> str:
@@ -309,7 +257,7 @@ def redact_sensitive_text(text: str) -> str:
"""Apply all redaction patterns to a block of text.
Safe to call on any string -- non-matching text passes through unchanged.
Disabled by default enable via security.redact_secrets: true in config.yaml.
Disabled when security.redact_secrets is false in config.yaml.
"""
if text is None:
return None
+2 -7
View File
@@ -76,7 +76,6 @@ except ImportError: # pragma: no cover
fcntl = None # type: ignore[assignment]
from hermes_constants import get_hermes_home
from utils import atomic_replace
logger = logging.getLogger(__name__)
@@ -569,7 +568,7 @@ def save_allowlist(data: Dict[str, Any]) -> None:
try:
with os.fdopen(fd, "w") as fh:
fh.write(json.dumps(data, indent=2, sort_keys=True))
atomic_replace(tmp_path, p)
os.replace(tmp_path, p)
except Exception:
try:
os.unlink(tmp_path)
@@ -755,11 +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)
# ---------------------------------------------------------------------------
+2 -2
View File
@@ -329,7 +329,7 @@ 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 +368,7 @@ 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.]"
)
+5 -39
View File
@@ -6,18 +6,12 @@ adds latency to the user-facing reply.
import logging
import threading
from typing import Callable, Optional
from typing import Optional
from agent.auxiliary_client import call_llm
logger = logging.getLogger(__name__)
# Callback signature: (task_name, exception) -> None. Used to surface
# auxiliary failures to the user through AIAgent._emit_auxiliary_failure
# so silent-drops (e.g. OpenRouter 402 exhausting the fallback chain)
# become visible instead of piling up as NULL session titles.
FailureCallback = Callable[[str, BaseException], None]
_TITLE_PROMPT = (
"Generate a short, descriptive title (3-7 words) for a conversation that starts with the "
"following exchange. The title should capture the main topic or intent. "
@@ -25,23 +19,11 @@ _TITLE_PROMPT = (
)
def generate_title(
user_message: str,
assistant_response: str,
timeout: float = 30.0,
failure_callback: Optional[FailureCallback] = None,
main_runtime: dict = None,
) -> Optional[str]:
def generate_title(user_message: str, assistant_response: str, timeout: float = 30.0) -> Optional[str]:
"""Generate a session title from the first exchange.
Uses the main runtime's model when available, falling back to the
auxiliary LLM client (cheapest/fastest available model).
Uses the auxiliary LLM client (cheapest/fastest available model).
Returns the title string or None on failure.
``failure_callback`` is invoked with ``(task, exception)`` when the
auxiliary call raises the caller typically wires this to
``AIAgent._emit_auxiliary_failure`` so the user sees a warning instead
of silently accumulating untitled sessions.
"""
# Truncate long messages to keep the request small
user_snippet = user_message[:500] if user_message else ""
@@ -59,7 +41,6 @@ def generate_title(
max_tokens=500,
temperature=0.3,
timeout=timeout,
main_runtime=main_runtime,
)
title = (response.choices[0].message.content or "").strip()
# Clean up: remove quotes, trailing punctuation, prefixes like "Title: "
@@ -71,15 +52,7 @@ def generate_title(
title = title[:77] + "..."
return title if title else None
except Exception as e:
# Log at WARNING so this shows up in agent.log without debug mode.
# Full detail at debug level for operators who need the stack.
logger.warning("Title generation failed: %s", e)
logger.debug("Title generation traceback", exc_info=True)
if failure_callback is not None:
try:
failure_callback("title generation", e)
except Exception:
logger.debug("Title generation failure_callback raised", exc_info=True)
logger.debug("Title generation failed: %s", e)
return None
@@ -88,8 +61,6 @@ def auto_title_session(
session_id: str,
user_message: str,
assistant_response: str,
failure_callback: Optional[FailureCallback] = None,
main_runtime: dict = None,
) -> None:
"""Generate and set a session title if one doesn't already exist.
@@ -110,9 +81,7 @@ def auto_title_session(
except Exception:
return
title = generate_title(
user_message, assistant_response, failure_callback=failure_callback, main_runtime=main_runtime
)
title = generate_title(user_message, assistant_response)
if not title:
return
@@ -129,8 +98,6 @@ def maybe_auto_title(
user_message: str,
assistant_response: str,
conversation_history: list,
failure_callback: Optional[FailureCallback] = None,
main_runtime: dict = None,
) -> None:
"""Fire-and-forget title generation after the first exchange.
@@ -152,7 +119,6 @@ def maybe_auto_title(
thread = threading.Thread(
target=auto_title_session,
args=(session_db, session_id, user_message, assistant_response),
kwargs={"failure_callback": failure_callback, "main_runtime": main_runtime},
daemon=True,
name="auto-title",
)
+7 -1
View File
@@ -85,6 +85,9 @@ class AnthropicTransport(ProviderTransport):
from agent.anthropic_adapter import _to_plain_data
from agent.transports.types import ToolCall
strip_tool_prefix = kwargs.get("strip_tool_prefix", False)
_MCP_PREFIX = "mcp_"
text_parts = []
reasoning_parts = []
reasoning_details = []
@@ -99,10 +102,13 @@ class AnthropicTransport(ProviderTransport):
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=block.name,
name=name,
arguments=json.dumps(block.input),
)
)
+2 -92
View File
@@ -12,65 +12,12 @@ reasoning configuration, temperature handling, and extra_body assembly.
import copy
from typing import Any, Dict, List, Optional
from agent.lmstudio_reasoning import resolve_lmstudio_effort
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
def _build_gemini_thinking_config(model: str, reasoning_config: dict | None) -> dict | None:
"""Translate Hermes/OpenRouter-style reasoning config to Gemini thinkingConfig.
Gemini native/cloud-code adapters do not read ``extra_body.reasoning``.
They only inspect ``extra_body.thinking_config`` / ``thinkingConfig`` and
then request thought parts with ``includeThoughts`` enabled.
"""
if reasoning_config is None or not isinstance(reasoning_config, dict):
return None
if reasoning_config.get("enabled") is False:
# Gemini can hide thought parts even when internal thinking still
# happens; omit thinkingLevel to avoid model-specific validation quirks.
return {"includeThoughts": False}
effort = str(reasoning_config.get("effort", "medium") or "medium").strip().lower()
if effort == "none":
return {"includeThoughts": False}
thinking_config: Dict[str, Any] = {"includeThoughts": True}
normalized_model = (model or "").strip().lower()
if normalized_model.startswith("google/"):
normalized_model = normalized_model.split("/", 1)[1]
# Gemini 2.5 accepts thinkingBudget; don't guess a budget from Hermes'
# coarse effort levels. ``includeThoughts`` alone is enough to surface
# thought parts without risking request validation errors.
if normalized_model.startswith("gemini-2.5-"):
return thinking_config
if effort not in {"minimal", "low", "medium", "high", "xhigh"}:
effort = "medium"
# Gemini 3 Flash documents low/medium/high thinking levels; Gemini 3 Pro
# is stricter (low/high). Clamp Hermes' wider effort set to what each
# family accepts so we never forward an undocumented level verbatim.
if normalized_model.startswith(("gemini-3", "gemini-3.1")):
if "flash" in normalized_model:
if effort in {"minimal", "low"}:
thinking_config["thinkingLevel"] = "low"
elif effort in {"high", "xhigh"}:
thinking_config["thinkingLevel"] = "high"
else:
thinking_config["thinkingLevel"] = "medium"
elif "pro" in normalized_model:
thinking_config["thinkingLevel"] = (
"high" if effort in {"high", "xhigh"} else "low"
)
return thinking_config
class ChatCompletionsTransport(ProviderTransport):
"""Transport for api_mode='chat_completions'.
@@ -154,7 +101,6 @@ class ChatCompletionsTransport(ProviderTransport):
is_github_models: bool
is_nvidia_nim: bool
is_kimi: bool
is_lmstudio: bool
is_custom_provider: bool
ollama_num_ctx: int | None
# Provider routing
@@ -168,7 +114,6 @@ class ChatCompletionsTransport(ProviderTransport):
# Reasoning
supports_reasoning: bool
github_reasoning_extra: dict | None
lmstudio_reasoning_options: list[str] | None # raw allowed_options from /api/v1/models
# Claude on OpenRouter/Nous max output
anthropic_max_output: int | None
# Extra
@@ -243,7 +188,6 @@ class ChatCompletionsTransport(ProviderTransport):
anthropic_max_out = params.get("anthropic_max_output")
is_nvidia_nim = params.get("is_nvidia_nim", False)
is_kimi = params.get("is_kimi", False)
is_tokenhub = params.get("is_tokenhub", False)
reasoning_config = params.get("reasoning_config")
if ephemeral is not None and max_tokens_fn:
@@ -275,40 +219,12 @@ class ChatCompletionsTransport(ProviderTransport):
_kimi_effort = _e
api_kwargs["reasoning_effort"] = _kimi_effort
# Tencent TokenHub: top-level reasoning_effort (unless thinking disabled)
if is_tokenhub:
_tokenhub_thinking_off = bool(
reasoning_config
and isinstance(reasoning_config, dict)
and reasoning_config.get("enabled") is False
)
if not _tokenhub_thinking_off:
_tokenhub_effort = "high"
if reasoning_config and isinstance(reasoning_config, dict):
_e = (reasoning_config.get("effort") or "").strip().lower()
if _e in ("low", "medium", "high"):
_tokenhub_effort = _e
api_kwargs["reasoning_effort"] = _tokenhub_effort
# LM Studio: top-level reasoning_effort. Only emit when the model
# declares reasoning support via /api/v1/models capabilities (gated
# upstream by params["supports_reasoning"]). resolve_lmstudio_effort
# is shared with run_agent's summary path so both stay in sync.
if params.get("is_lmstudio", False) and params.get("supports_reasoning", False):
_lm_effort = resolve_lmstudio_effort(
reasoning_config,
params.get("lmstudio_reasoning_options"),
)
if _lm_effort is not None:
api_kwargs["reasoning_effort"] = _lm_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_name = str(params.get("provider_name") or "").strip().lower()
provider_prefs = params.get("provider_preferences")
if provider_prefs and is_openrouter:
@@ -324,9 +240,8 @@ class ChatCompletionsTransport(ProviderTransport):
"type": "enabled" if _kimi_thinking_enabled else "disabled",
}
# Reasoning. LM Studio is handled above via top-level reasoning_effort,
# so skip emitting extra_body.reasoning for it.
if params.get("supports_reasoning", False) and not params.get("is_lmstudio", False):
# Reasoning
if params.get("supports_reasoning", False):
if is_github_models:
gh_reasoning = params.get("github_reasoning_extra")
if gh_reasoning is not None:
@@ -362,11 +277,6 @@ class ChatCompletionsTransport(ProviderTransport):
if is_qwen:
extra_body["vl_high_resolution_images"] = True
if provider_name in {"gemini", "google-gemini-cli"}:
thinking_config = _build_gemini_thinking_config(model, reasoning_config)
if thinking_config:
extra_body["thinking_config"] = thinking_config
# Merge any pre-built extra_body additions
additions = params.get("extra_body_additions")
if additions:
+3 -1
View File
@@ -8,7 +8,7 @@ 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
from agent.transports.types import NormalizedResponse, ToolCall, Usage
class ResponsesApiTransport(ProviderTransport):
@@ -151,6 +151,8 @@ class ResponsesApiTransport(ProviderTransport):
"""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)
+8 -12
View File
@@ -30,13 +30,14 @@ model:
# "ollama-cloud" - Ollama Cloud (requires: OLLAMA_API_KEY — https://ollama.com/settings)
# "kilocode" - KiloCode gateway (requires: KILOCODE_API_KEY)
# "ai-gateway" - Vercel AI Gateway (requires: AI_GATEWAY_API_KEY)
# "lmstudio" - LM Studio local server (optional: LM_API_KEY, defaults to http://127.0.0.1:1234/v1)
#
# Local servers (LM Studio, Ollama, vLLM, llama.cpp):
# "custom" - Any other OpenAI-compatible endpoint. Set base_url below.
# Aliases: "ollama", "vllm", "llamacpp" all map to "custom".
# LM Studio is first-class and uses provider: "lmstudio".
# It works with both no-auth and auth-enabled server modes.
# "custom" - Any OpenAI-compatible endpoint. Set base_url below.
# Aliases: "lmstudio", "ollama", "vllm", "llamacpp" all map to "custom".
# Example for LM Studio:
# provider: "lmstudio"
# base_url: "http://localhost:1234/v1"
# No API key needed — local servers typically ignore auth.
#
# Can also be overridden with --provider flag or HERMES_INFERENCE_PROVIDER env var.
provider: "auto"
@@ -605,7 +606,6 @@ platform_toolsets:
signal: [hermes-signal]
homeassistant: [hermes-homeassistant]
qqbot: [hermes-qqbot]
yuanbao: [hermes-yuanbao]
# =============================================================================
# Gateway Platform Settings
@@ -847,12 +847,8 @@ display:
# What Enter does when Hermes is already busy (CLI and gateway platforms).
# 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>.
# Toggle at runtime with /busy_input_mode <interrupt|queue>.
busy_input_mode: interrupt
# Background process notifications (gateway/messaging only).
@@ -927,7 +923,7 @@ display:
# agent_name: "My Agent" # Banner title and branding
# welcome: "Welcome message" # Shown at CLI startup
# response_label: " ⚔ Agent " # Response box header label
# prompt_symbol: "⚔" # Prompt symbol (bare token; renderers add trailing space)
# prompt_symbol: "⚔ " # Prompt symbol
# tool_prefix: "╎" # Tool output line prefix (default: ┊)
#
skin: default
+104 -466
View File
@@ -15,7 +15,6 @@ Usage:
import logging
import os
import re
import shutil
import sys
import json
@@ -69,9 +68,7 @@ from agent.usage_pricing import (
format_duration_compact,
format_token_count_compact,
)
# NOTE: `from agent.account_usage import ...` is deliberately NOT at module
# top — it transitively pulls the OpenAI SDK chain (~230 ms cold) and is only
# needed when the user runs `/limits`. Lazy-imported inside the handler below.
from agent.account_usage import fetch_account_usage, render_account_usage_lines
from hermes_cli.banner import _format_context_length, format_banner_version_label
_COMMAND_SPINNER_FRAMES = ("", "", "", "", "", "", "", "", "", "")
@@ -761,17 +758,9 @@ def _run_cleanup():
pass
try:
if _active_agent_ref and hasattr(_active_agent_ref, 'shutdown_memory_provider'):
# Forward the agent's own transcript so memory providers'
# ``on_session_end`` hooks see the real conversation instead of
# an empty list (#15165). ``_session_messages`` is set on
# ``AIAgent.__init__`` and refreshed every turn via
# ``_persist_session``. Fall back to no-arg on test stubs /
# partially-initialised agents where the attribute is missing.
_session_msgs = getattr(_active_agent_ref, '_session_messages', None)
if isinstance(_session_msgs, list):
_active_agent_ref.shutdown_memory_provider(_session_msgs)
else:
_active_agent_ref.shutdown_memory_provider()
_active_agent_ref.shutdown_memory_provider(
getattr(_active_agent_ref, 'conversation_history', None) or []
)
except Exception:
pass
@@ -985,7 +974,6 @@ def _run_state_db_auto_maintenance(session_db) -> None:
return
try:
from hermes_cli.config import load_config as _load_full_config
from hermes_constants import get_hermes_home as _get_hermes_home
cfg = (_load_full_config().get("sessions") or {})
if not cfg.get("auto_prune", False):
return
@@ -993,35 +981,11 @@ def _run_state_db_auto_maintenance(session_db) -> None:
retention_days=int(cfg.get("retention_days", 90)),
min_interval_hours=int(cfg.get("min_interval_hours", 24)),
vacuum=bool(cfg.get("vacuum_after_prune", True)),
sessions_dir=_get_hermes_home() / "sessions",
)
except Exception as exc:
logger.debug("state.db auto-maintenance skipped: %s", exc)
def _run_checkpoint_auto_maintenance() -> None:
"""Call ``checkpoint_manager.maybe_auto_prune_checkpoints`` using current config.
Reads the ``checkpoints:`` section from config.yaml via
:func:`hermes_cli.config.load_config`. Honours ``auto_prune`` /
``retention_days`` / ``delete_orphans`` / ``min_interval_hours``.
Never raises maintenance must never block interactive startup.
"""
try:
from hermes_cli.config import load_config as _load_full_config
cfg = (_load_full_config().get("checkpoints") or {})
if not cfg.get("auto_prune", False):
return
from tools.checkpoint_manager import maybe_auto_prune_checkpoints
maybe_auto_prune_checkpoints(
retention_days=int(cfg.get("retention_days", 7)),
min_interval_hours=int(cfg.get("min_interval_hours", 24)),
delete_orphans=bool(cfg.get("delete_orphans", True)),
)
except Exception as exc:
logger.debug("checkpoint auto-maintenance skipped: %s", exc)
def _prune_stale_worktrees(repo_root: str, max_age_hours: int = 24) -> None:
"""Remove stale worktrees and orphaned branches on startup.
@@ -1414,7 +1378,7 @@ def _resolve_attachment_path(raw_path: str) -> Path | None:
def _format_process_notification(evt: dict) -> "str | None":
"""Format a process notification event into a [IMPORTANT: ...] message.
"""Format a process notification event into a [SYSTEM: ...] message.
Handles both completion events (notify_on_complete) and watch pattern
match events from the unified completion_queue.
@@ -1424,14 +1388,14 @@ def _format_process_notification(evt: dict) -> "str | None":
_cmd = evt.get("command", "unknown")
if evt_type == "watch_disabled":
return f"[IMPORTANT: {evt.get('message', '')}]"
return f"[SYSTEM: {evt.get('message', '')}]"
if evt_type == "watch_match":
_pat = evt.get("pattern", "?")
_out = evt.get("output", "")
_sup = evt.get("suppressed", 0)
text = (
f"[IMPORTANT: Background process {_sid} matched "
f"[SYSTEM: Background process {_sid} matched "
f"watch pattern \"{_pat}\".\n"
f"Command: {_cmd}\n"
f"Matched output:\n{_out}"
@@ -1445,7 +1409,7 @@ def _format_process_notification(evt: dict) -> "str | None":
_exit = evt.get("exit_code", "?")
_out = evt.get("output", "")
return (
f"[IMPORTANT: Background process {_sid} completed "
f"[SYSTEM: Background process {_sid} completed "
f"(exit code {_exit}).\n"
f"Command: {_cmd}\n"
f"Output:\n{_out}]"
@@ -1558,60 +1522,6 @@ def _should_auto_attach_clipboard_image_on_paste(pasted_text: str) -> bool:
return not pasted_text.strip()
def _strip_leaked_bracketed_paste_wrappers(text: str) -> str:
"""Strip leaked bracketed-paste wrapper markers from user-visible text.
Defensive normalization for cases where terminal/prompt_toolkit parsing
fails and bracketed-paste markers end up in the buffer as literal text.
We strip canonical wrappers unconditionally and also handle degraded
visible forms like ``[200~`` / ``[201~`` and ``00~`` / ``01~`` when they
look like wrapper boundaries, not arbitrary user content.
"""
if not text:
return text
text = (
text.replace("\x1b[200~", "")
.replace("\x1b[201~", "")
.replace("^[[200~", "")
.replace("^[[201~", "")
)
text = re.sub(r"(^|[\s\n>:\]\)])\[200~", r"\1", text)
text = re.sub(r"\[201~(?=$|[\s\n<\[\(\):;.,!?])", "", text)
text = re.sub(r"(^|[\s\n>:\]\)])00~", r"\1", text)
text = re.sub(r"01~(?=$|[\s\n<\[\(\):;.,!?])", "", text)
return text
# Cursor Position Report (CPR / DSR) response, format ``ESC[<row>;<col>R``.
# prompt_toolkit's _on_resize() + renderer send ``ESC[6n`` queries to the
# terminal; under resize storms or tab switches the terminal's reply can
# race past the input parser and end up in the input buffer as literal
# text (see issue #14692). Also matches the visible-form ``^[[<row>;<col>R``
# that appears when the ESC byte was stripped by a prior filter.
_DSR_CPR_ESC_RE = re.compile(r"\x1b\[\d+;\d+R")
_DSR_CPR_VISIBLE_RE = re.compile(r"\^\[\[\d+;\d+R")
def _strip_leaked_terminal_responses(text: str) -> str:
"""Strip leaked terminal control-response sequences from user input.
Covers Cursor Position Report (CPR / DSR) responses ``ESC[<row>;<col>R``
and the visible ``^[[<row>;<col>R`` form. These are replies the terminal
sends back to queries prompt_toolkit makes during ``_on_resize`` /
``_request_absolute_cursor_position``. When the input parser drops one
(resize storms, multiplexer focus changes, slow PTYs) the response
lands in the input buffer as literal text and corrupts what the user
typed.
"""
if not text:
return text
text = _DSR_CPR_ESC_RE.sub("", text)
text = _DSR_CPR_VISIBLE_RE.sub("", text)
return text
def _collect_query_images(query: str | None, image_arg: str | None = None) -> tuple[str, list[Path]]:
"""Collect local image attachments for single-query CLI flows."""
message = query or ""
@@ -1938,16 +1848,9 @@ class HermesCLI:
self.bell_on_complete = CLI_CONFIG["display"].get("bell_on_complete", False)
# show_reasoning: display model thinking/reasoning before the response
self.show_reasoning = CLI_CONFIG["display"].get("show_reasoning", False)
# busy_input_mode: "interrupt" (Enter interrupts current run),
# "queue" (Enter queues for next turn), or "steer" (Enter injects
# mid-run via /steer, arriving after the next tool call).
_bim = str(CLI_CONFIG["display"].get("busy_input_mode", "interrupt")).strip().lower()
if _bim == "queue":
self.busy_input_mode = "queue"
elif _bim == "steer":
self.busy_input_mode = "steer"
else:
self.busy_input_mode = "interrupt"
# busy_input_mode: "interrupt" (Enter interrupts current run) or "queue" (Enter queues for next turn)
_bim = CLI_CONFIG["display"].get("busy_input_mode", "interrupt")
self.busy_input_mode = "queue" if str(_bim).strip().lower() == "queue" else "interrupt"
self.verbose = verbose if verbose is not None else (self.tool_progress_mode == "verbose")
@@ -2142,11 +2045,6 @@ class HermesCLI:
# Never blocks startup on failure.
_run_state_db_auto_maintenance(self._session_db)
# Opportunistic shadow-repo cleanup — deletes orphan/stale
# checkpoint repos under ~/.hermes/checkpoints/. Opt-in via
# checkpoints.auto_prune, idempotent via .last_prune marker.
_run_checkpoint_auto_maintenance()
# Deferred title: stored in memory until the session is created in the DB
self._pending_title: Optional[str] = None
@@ -2220,42 +2118,6 @@ class HermesCLI:
self._last_invalidate = now
self._app.invalidate()
def _force_full_redraw(self) -> None:
"""Force a clean full-screen repaint of the prompt_toolkit UI.
Used to recover from terminal buffer drift caused by external
redraws we can't detect — e.g. macOS cmux / tmux tab switches,
``clear`` issued from a subshell, or SSH window restores. These
wipe or repaint the terminal without firing SIGWINCH, so
prompt_toolkit's tracked ``_cursor_pos`` no longer matches reality
and the next incremental redraw stacks on top of stale content
(ghost status bars, duplicated prompts).
Bound to Ctrl+L and exposed as the ``/redraw`` slash command,
matching the standard terminal-UX convention (bash, zsh, fish,
vim, htop).
"""
app = getattr(self, "_app", None)
if not app:
return
try:
renderer = app.renderer
out = renderer.output
out.reset_attributes()
out.erase_screen()
out.cursor_goto(0, 0)
out.flush()
# Drop prompt_toolkit's cached screen + cursor state so the
# next _redraw() starts from a known (0, 0) origin and
# re-renders every cell rather than diffing against stale.
renderer.reset(leave_alternate_screen=False)
except Exception:
pass
try:
app.invalidate()
except Exception:
pass
def _status_bar_context_style(self, percent_used: Optional[int]) -> str:
if percent_used is None:
return "class:status-bar-dim"
@@ -5053,12 +4915,6 @@ class HermesCLI:
if self.agent:
self.agent.session_id = new_session_id
self.agent.session_start = now
# Redirect the JSON session log to the new branch session file so
# messages written after branching land in the correct file.
if hasattr(self.agent, "session_log_file") and hasattr(self.agent, "logs_dir"):
self.agent.session_log_file = (
self.agent.logs_dir / f"session_{new_session_id}.json"
)
self.agent.reset_session_state()
if hasattr(self.agent, "_last_flushed_db_idx"):
self.agent._last_flushed_db_idx = len(self.conversation_history)
@@ -5080,37 +4936,22 @@ class HermesCLI:
_cprint(f" Branch session: {new_session_id}")
def save_conversation(self):
"""Save the current conversation to a JSON snapshot under ~/.hermes/sessions/saved/.
The snapshot is a convenience export for sharing or off-line inspection;
every message is already persisted incrementally to the SQLite session
DB, so the live session remains resumable via ``hermes --resume <id>``
regardless of whether the user ever runs ``/save``.
"""
"""Save the current conversation to a file."""
if not self.conversation_history:
print("(;_;) No conversation to save.")
return
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
saved_dir = get_hermes_home() / "sessions" / "saved"
filename = f"hermes_conversation_{timestamp}.json"
try:
saved_dir.mkdir(parents=True, exist_ok=True)
except Exception as e:
print(f"(x_x) Failed to create save directory {saved_dir}: {e}")
return
path = saved_dir / f"hermes_conversation_{timestamp}.json"
try:
with open(path, "w", encoding="utf-8") as f:
with open(filename, "w", encoding="utf-8") as f:
json.dump({
"model": self.model,
"session_id": self.session_id,
"session_start": self.session_start.isoformat(),
"messages": self.conversation_history,
}, f, indent=2, ensure_ascii=False)
print(f"(^_^)v Conversation snapshot saved to: {path}")
if self.session_id:
print(f" Resume the live session with: hermes --resume {self.session_id}")
print(f"(^_^)v Conversation saved to: {filename}")
except Exception as e:
print(f"(x_x) Failed to save: {e}")
@@ -5459,8 +5300,6 @@ class HermesCLI:
try:
providers = list_authenticated_providers(
current_provider=self.provider or "",
current_base_url=self.base_url or "",
current_model=self.model or "",
user_providers=user_provs,
custom_providers=custom_provs,
max_models=50,
@@ -5979,7 +5818,29 @@ class HermesCLI:
print(f"(._.) Unknown cron command: {subcommand}")
print(" Available: list, add, edit, pause, resume, run, remove")
def _handle_curator_command(self, cmd: str):
"""Handle /curator slash command.
Delegates to hermes_cli.curator so the CLI and the `hermes curator`
subcommand share the same handler set.
"""
import shlex
tokens = shlex.split(cmd)[1:] if cmd else []
if not tokens:
tokens = ["status"]
try:
from hermes_cli.curator import cli_main
cli_main(tokens)
except SystemExit:
# argparse calls sys.exit() on --help or errors; swallow so we
# don't kill the interactive session.
pass
except Exception as exc:
print(f"(._.) curator: {exc}")
def _handle_skills_command(self, cmd: str):
"""Handle /skills slash command — delegates to hermes_cli.skills_hub."""
from hermes_cli.skills_hub import handle_skills_slash
@@ -6004,7 +5865,6 @@ class HermesCLI:
platform_status = {
Platform.TELEGRAM: ("Telegram", "TELEGRAM_BOT_TOKEN"),
Platform.DISCORD: ("Discord", "DISCORD_BOT_TOKEN"),
Platform.SLACK: ("Slack", "SLACK_BOT_TOKEN"),
Platform.WHATSAPP: ("WhatsApp", "WHATSAPP_ENABLED"),
}
@@ -6075,12 +5935,6 @@ class HermesCLI:
self.show_toolsets()
elif canonical == "config":
self.show_config()
elif canonical == "redraw":
# Manual recovery for terminal buffer drift from multiplexer
# tab switches, subshell ``clear``, SSH window restores, etc.
# See issue #8688 (cmux). Ctrl+L is bound to the same helper.
self._force_full_redraw()
_cprint(f" {_DIM}✓ UI redrawn{_RST}")
elif canonical == "clear":
self.new_session(silent=True)
# Clear terminal screen. Inside the TUI, Rich's console.clear()
@@ -6223,6 +6077,8 @@ class HermesCLI:
self.save_conversation()
elif canonical == "cron":
self._handle_cron_command(cmd_original)
elif canonical == "curator":
self._handle_curator_command(cmd_original)
elif canonical == "skills":
with self._busy_command(self._slow_command_status(cmd_original)):
self._handle_skills_command(cmd_original)
@@ -6236,8 +6092,6 @@ class HermesCLI:
self._console_print(f" Status bar {state}")
elif canonical == "verbose":
self._toggle_verbose()
elif canonical == "footer":
self._handle_footer_command(cmd_original)
elif canonical == "yolo":
self._toggle_yolo()
elif canonical == "reasoning":
@@ -6477,12 +6331,6 @@ class HermesCLI:
turn_route = self._resolve_turn_agent_config(prompt)
def run_background():
set_sudo_password_callback(self._sudo_password_callback)
set_approval_callback(self._approval_callback)
try:
set_secret_capture_callback(self._secret_capture_callback)
except Exception:
pass
try:
bg_agent = AIAgent(
model=turn_route["model"],
@@ -6580,12 +6428,6 @@ class HermesCLI:
print()
_cprint(f" ❌ Background task #{task_num} failed: {e}")
finally:
try:
set_sudo_password_callback(None)
set_approval_callback(None)
set_secret_capture_callback(None)
except Exception:
pass
self._background_tasks.pop(task_id, None)
# Clear spinner only if no foreground agent owns it
if not self._agent_running:
@@ -6865,58 +6707,6 @@ class HermesCLI:
if self._apply_tui_skin_style():
print(" Prompt + TUI colors updated.")
def _handle_footer_command(self, cmd_original: str) -> None:
"""Toggle or inspect ``display.runtime_footer.enabled`` from the CLI.
Usage:
/footer toggle
/footer on|off explicit
/footer status show current state
"""
from hermes_cli.config import load_config
from hermes_cli.colors import Colors as _Colors
# Parse arg
arg = ""
try:
parts = (cmd_original or "").strip().split(None, 1)
if len(parts) > 1:
arg = parts[1].strip().lower()
except Exception:
arg = ""
cfg = load_config() or {}
footer_cfg = ((cfg.get("display") or {}).get("runtime_footer") or {})
current = bool(footer_cfg.get("enabled", False))
fields = footer_cfg.get("fields") or ["model", "context_pct", "cwd"]
if arg in ("status", "?"):
state = "ON" if current else "OFF"
_cprint(
f" {_Colors.BOLD}Runtime footer:{_Colors.RESET} {state}\n"
f" Fields: {', '.join(fields)}"
)
return
if arg in ("on", "enable", "true", "1"):
new_state = True
elif arg in ("off", "disable", "false", "0"):
new_state = False
elif arg == "":
new_state = not current
else:
_cprint(" Usage: /footer [on|off|status]")
return
if save_config_value("display.runtime_footer.enabled", new_state):
state = (
f"{_Colors.GREEN}ON{_Colors.RESET}" if new_state
else f"{_Colors.DIM}OFF{_Colors.RESET}"
)
_cprint(f" Runtime footer: {state}")
else:
_cprint(" Failed to save runtime_footer setting to config.yaml")
def _toggle_verbose(self):
"""Cycle tool progress mode: off → new → all → verbose → off."""
cycle = ["off", "new", "all", "verbose"]
@@ -7032,36 +6822,24 @@ class HermesCLI:
/busy Show current busy input mode
/busy status Show current busy input mode
/busy queue Queue input for the next turn instead of interrupting
/busy steer Inject Enter mid-run via /steer (after next tool call)
/busy interrupt Interrupt the current run on Enter (default)
"""
parts = cmd.strip().split(maxsplit=1)
if len(parts) < 2 or parts[1].strip().lower() == "status":
_cprint(f" {_ACCENT}Busy input mode: {self.busy_input_mode}{_RST}")
if self.busy_input_mode == "queue":
_behavior = "queues for next turn"
elif self.busy_input_mode == "steer":
_behavior = "steers into current run (after next tool call)"
else:
_behavior = "interrupts current run"
_cprint(f" {_DIM}Enter while busy: {_behavior}{_RST}")
_cprint(f" {_DIM}Usage: /busy [queue|steer|interrupt|status]{_RST}")
_cprint(f" {_DIM}Enter while busy: {'queues for next turn' if self.busy_input_mode == 'queue' else 'interrupts current run'}{_RST}")
_cprint(f" {_DIM}Usage: /busy [queue|interrupt|status]{_RST}")
return
arg = parts[1].strip().lower()
if arg not in {"queue", "interrupt", "steer"}:
if arg not in {"queue", "interrupt"}:
_cprint(f" {_DIM}(._.) Unknown argument: {arg}{_RST}")
_cprint(f" {_DIM}Usage: /busy [queue|steer|interrupt|status]{_RST}")
_cprint(f" {_DIM}Usage: /busy [queue|interrupt|status]{_RST}")
return
self.busy_input_mode = arg
if save_config_value("display.busy_input_mode", arg):
if arg == "queue":
behavior = "Enter will queue follow-up input while Hermes is busy."
elif arg == "steer":
behavior = "Enter will steer your message into the current run (after the next tool call)."
else:
behavior = "Enter will interrupt the current run while Hermes is busy."
behavior = "Enter will queue follow-up input while Hermes is busy." if arg == "queue" else "Enter will interrupt the current run while Hermes is busy."
_cprint(f" {_ACCENT}✓ Busy input mode set to '{arg}' (saved to config){_RST}")
_cprint(f" {_DIM}{behavior}{_RST}")
else:
@@ -7157,15 +6935,9 @@ class HermesCLI:
else:
print(f"🗜️ Compressing {original_count} messages (~{approx_tokens:,} tokens)...")
# Pass None as system_message so _compress_context rebuilds
# the system prompt from scratch via _build_system_prompt(None).
# Passing _cached_system_prompt caused duplication because
# _build_system_prompt appends system_message to prompt_parts
# which already contain the agent identity — resulting in the
# identity block appearing twice (issue #15281).
compressed, _ = self.agent._compress_context(
original_history,
None,
self.agent._cached_system_prompt or "",
approx_tokens=approx_tokens,
focus_topic=focus_topic or None,
)
@@ -7289,8 +7061,6 @@ class HermesCLI:
provider = getattr(agent, "provider", None) or getattr(self, "provider", None)
base_url = getattr(agent, "base_url", None) or getattr(self, "base_url", None)
api_key = getattr(agent, "api_key", None) or getattr(self, "api_key", None)
# Lazy import — pulls the OpenAI SDK chain, only needed here.
from agent.account_usage import fetch_account_usage, render_account_usage_lines
account_snapshot = None
if provider:
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as _pool:
@@ -7471,7 +7241,7 @@ class HermesCLI:
change_detail = ". ".join(change_parts) + ". " if change_parts else ""
self.conversation_history.append({
"role": "user",
"content": f"[IMPORTANT: MCP servers have been reloaded. {change_detail}{tool_summary}. The tool list for this conversation has been updated accordingly.]",
"content": f"[SYSTEM: MCP servers have been reloaded. {change_detail}{tool_summary}. The tool list for this conversation has been updated accordingly.]",
})
# Persist session immediately so the session log reflects the
@@ -8508,62 +8278,13 @@ class HermesCLI:
):
return None
# Route image attachments based on the active model's vision capability.
# "native" → pass pixels as OpenAI-style content parts (adapters
# translate for Anthropic/Gemini/Bedrock).
# "text" → pre-analyze each image with vision_analyze and prepend the
# description as text — works with non-vision models.
# See agent/image_routing.py for the decision table.
# Pre-process images through the vision tool (Gemini Flash) so the
# main model receives text descriptions instead of raw base64 image
# content — works with any model, not just vision-capable ones.
if images:
try:
from agent.image_routing import (
build_native_content_parts,
decide_image_input_mode,
)
from hermes_cli.config import load_config
_img_mode = decide_image_input_mode(
(self.provider or "").strip(),
(self.model or "").strip(),
load_config(),
)
except Exception as _img_exc:
logging.debug("image_routing decision failed, defaulting to text: %s", _img_exc)
_img_mode = "text"
if _img_mode == "native":
try:
_text_for_parts = message if isinstance(message, str) else ""
_img_str_paths = [str(p) for p in images]
_parts, _skipped = build_native_content_parts(
_text_for_parts,
_img_str_paths,
)
if _skipped:
_cprint(
f" {_DIM}⚠ skipped {len(_skipped)} unreadable image path(s){_RST}"
)
if any(p.get("type") == "image_url" for p in _parts):
_img_names = ", ".join(Path(p).name for p in _img_str_paths)
_cprint(
f" {_DIM}📎 attaching {len(images)} image(s) natively "
f"(model supports vision): {_img_names}{_RST}"
)
message = _parts
else:
# All images unreadable — fall back to text enrichment.
message = self._preprocess_images_with_vision(
message if isinstance(message, str) else "", images
)
except Exception as _img_exc:
logging.warning("native image attach failed, falling back to text: %s", _img_exc)
message = self._preprocess_images_with_vision(
message if isinstance(message, str) else "", images
)
else:
message = self._preprocess_images_with_vision(
message if isinstance(message, str) else "", images
)
message = self._preprocess_images_with_vision(
message if isinstance(message, str) else "", images
)
# Expand @ context references (e.g. @file:main.py, @diff, @folder:src/)
if isinstance(message, str) and "@" in message:
@@ -8866,27 +8587,12 @@ class HermesCLI:
if response and result and not result.get("failed") and not result.get("partial"):
try:
from agent.title_generator import maybe_auto_title
# Route title-generation failures through the agent's
# user-visible warning channel so a depleted auxiliary
# provider doesn't silently leave sessions untitled
# (issue #15775).
_title_failure_cb = getattr(
self.agent, "_emit_auxiliary_failure", None
) if self.agent else None
maybe_auto_title(
self._session_db,
self.session_id,
message,
response,
self.conversation_history,
failure_callback=_title_failure_cb,
main_runtime={
"model": self.model,
"provider": self.provider,
"base_url": self.base_url,
"api_key": self.api_key,
"api_mode": self.api_mode,
},
)
except Exception:
pass
@@ -9309,30 +9015,6 @@ class HermesCLI:
_welcome_text = "Welcome to Hermes Agent! Type your message or /help for commands."
_welcome_color = "#FFF8DC"
self._console_print(f"[{_welcome_color}]{_welcome_text}[/]")
# First-time OpenClaw-residue banner — fires once if ~/.openclaw/ exists
# after an OpenClaw→Hermes migration (especially migrations done by
# OpenClaw's own tool, which doesn't archive the source directory).
try:
from agent.onboarding import (
OPENCLAW_RESIDUE_FLAG,
detect_openclaw_residue,
is_seen,
mark_seen,
openclaw_residue_hint_cli,
)
if not is_seen(self.config, OPENCLAW_RESIDUE_FLAG) and detect_openclaw_residue():
try:
_resid_color = _welcome_skin.get_color("banner_dim", "#B8860B")
except Exception:
_resid_color = "#B8860B"
self._console_print(f"[{_resid_color}]{openclaw_residue_hint_cli()}[/]")
try:
from hermes_cli.config import get_config_path as _get_cfg_path_resid
mark_seen(_get_cfg_path_resid(), OPENCLAW_RESIDUE_FLAG)
except Exception:
pass # best-effort — banner will fire again next session
except Exception:
pass # banner is non-critical — never break startup
# Show a random tip to help users discover features
try:
from hermes_cli.tips import get_random_tip
@@ -9344,6 +9026,21 @@ class HermesCLI:
self._console_print(f"[dim {_tip_color}]✦ Tip: {_tip}[/]")
except Exception:
pass # Tips are non-critical — never break startup
# Curator — kick off a background skill-maintenance pass on startup
# if the schedule says we're due. Runs in a daemon thread so it
# never blocks the interactive loop. Best-effort; any failure is
# swallowed to avoid breaking session startup.
try:
from agent.curator import maybe_run_curator
maybe_run_curator(
idle_for_seconds=float("inf"), # CLI startup = fully idle
on_summary=lambda msg: self._console_print(
f"[dim #6b7684]💾 {msg}[/]"
),
)
except Exception:
pass
if self.preloaded_skills and not self._startup_skills_line_shown:
skills_label = ", ".join(self.preloaded_skills)
self._console_print(
@@ -9534,34 +9231,12 @@ class HermesCLI:
# Bundle text + images as a tuple when images are present
payload = (text, images) if images else text
if self._agent_running and not (text and _looks_like_slash_command(text)):
_effective_mode = self.busy_input_mode
if _effective_mode == "steer":
# Route Enter through /steer — inject mid-run after the
# next tool call. Images can't ride along (steer only
# appends text), so fall back to queue when images are
# attached. If the agent lacks steer() or rejects the
# payload, also fall back to queue so nothing is lost.
if images or not text:
_effective_mode = "queue"
else:
accepted = False
try:
if self.agent is not None and hasattr(self.agent, "steer"):
accepted = bool(self.agent.steer(text))
except Exception as exc:
_cprint(f" {_DIM}Steer failed ({exc}) — queued for next turn.{_RST}")
accepted = False
if accepted:
preview = text[:80] + ("..." if len(text) > 80 else "")
_cprint(f" {_ACCENT}⏩ Steered: '{preview}'{_RST}")
else:
_effective_mode = "queue"
if _effective_mode == "queue":
if self.busy_input_mode == "queue":
# Queue for the next turn instead of interrupting
self._pending_input.put(payload)
preview = text if text else f"[{len(images)} image{'s' if len(images) != 1 else ''} attached]"
_cprint(f" Queued for the next turn: {preview[:80]}{'...' if len(preview) > 80 else ''}")
elif _effective_mode == "interrupt":
else:
self._interrupt_queue.put(payload)
# Debug: log to file when message enters interrupt queue
try:
@@ -9764,17 +9439,6 @@ class HermesCLI:
"""Down arrow: browse history when on last line, else move cursor down."""
event.app.current_buffer.auto_down(count=event.arg)
@kb.add('c-l')
def handle_ctrl_l(event):
"""Ctrl+L: force a clean full-screen repaint.
Recovers the UI after external terminal buffer drift tmux /
cmux tab switches, ``clear`` from a subshell, SSH window
restores, etc. that prompt_toolkit can't detect on its own.
Matches the universal bash/zsh/fish/vim/htop convention.
"""
self._force_full_redraw()
@kb.add('c-c')
def handle_ctrl_c(event):
"""Handle Ctrl+C - cancel interactive prompts, interrupt agent, or exit.
@@ -10002,18 +9666,10 @@ class HermesCLI:
placeholder while preserving any existing user text in the
buffer.
"""
# Diagnostic canary: measure how long the paste handler blocks
# the prompt_toolkit event loop. If this exceeds ~500ms we log
# it so recurring "CLI freezes on paste" reports (issue #16263,
# macOS Tahoe 26 + iTerm2/Ghostty) arrive with data attached.
_paste_handler_start = time.perf_counter()
_paste_raw_size = len(event.data or "")
pasted_text = event.data or ""
# Normalise line endings — Windows \r\n and old Mac \r both become \n
# so the 5-line collapse threshold and display are consistent.
pasted_text = pasted_text.replace('\r\n', '\n').replace('\r', '\n')
pasted_text = _strip_leaked_bracketed_paste_wrappers(pasted_text)
pasted_text = _strip_leaked_terminal_responses(pasted_text)
if _should_auto_attach_clipboard_image_on_paste(pasted_text) and self._try_attach_clipboard_image():
event.app.invalidate()
if pasted_text:
@@ -10036,17 +9692,6 @@ class HermesCLI:
buf.insert_text(prefix + placeholder)
else:
buf.insert_text(pasted_text)
_paste_handler_elapsed_ms = (time.perf_counter() - _paste_handler_start) * 1000.0
if _paste_handler_elapsed_ms > 500.0:
logger.warning(
"Slow bracketed-paste handler: %.1fms to process %d bytes "
"(%d lines) on %s. If the input becomes unresponsive after "
"this, attach this log line to the bug report.",
_paste_handler_elapsed_ms,
_paste_raw_size,
pasted_text.count('\n') + 1 if pasted_text else 0,
sys.platform,
)
@kb.add('c-v')
def handle_ctrl_v(event):
@@ -10166,16 +9811,7 @@ class HermesCLI:
still batch newlines. Alt+Enter only adds 1 newline per
event so it never triggers this.
"""
text = _strip_leaked_bracketed_paste_wrappers(buf.text)
text = _strip_leaked_terminal_responses(text)
if text != buf.text:
cursor = min(buf.cursor_position, len(text))
_paste_just_collapsed[0] = True
buf.text = text
buf.cursor_position = cursor
_prev_text_len[0] = len(text)
_prev_newline_count[0] = text.count('\n')
return
text = buf.text
chars_added = len(text) - _prev_text_len[0]
_prev_text_len[0] = len(text)
if _paste_just_collapsed[0] or self._skip_paste_collapse:
@@ -10244,7 +9880,7 @@ class HermesCLI:
status = cli_ref._command_status or "Processing command..."
return f"{frame} {status}"
if cli_ref._agent_running:
return "msg=interrupt · /queue · /bg · /steer · Ctrl+C cancel"
return "type a message + Enter to interrupt, Ctrl+C to cancel"
if cli_ref._voice_mode:
return "type or Ctrl+B to record"
return ""
@@ -10832,30 +10468,36 @@ class HermesCLI:
# only cursor_up()s by the stored layout height, missing the extra
# rows created by reflow — leaving ghost duplicates visible.
#
# It's not just column-shrink: widening, row-shrinking, and
# multiplexer-driven SIGWINCH-less redraws (cmux / tmux tab switch)
# all produce the same class of drift, where the renderer's tracked
# _cursor_pos.y no longer matches terminal reality. The only reliable
# recovery is a full screen-clear (\x1b[2J\x1b[H) before the next
# redraw, so we force one on every resize rather than trying to
# compute the exact drift.
# Fix: before the standard erase, inflate _cursor_pos.y so the
# cursor moves up far enough to cover the reflowed ghost content.
_original_on_resize = app._on_resize
def _resize_clear_ghosts():
from prompt_toolkit.data_structures import Point as _Pt
renderer = app.renderer
try:
out = renderer.output
# Reset attributes, erase the entire screen, and home the
# cursor. This overwrites any reflowed status-bar rows or
# stale content the terminal kept from the prior layout.
out.reset_attributes()
out.erase_screen()
out.cursor_goto(0, 0)
out.flush()
# Tell the renderer its tracked position is fresh so its
# own erase() inside _on_resize doesn't cursor_up() past
# the top of the screen.
renderer.reset(leave_alternate_screen=False)
old_size = renderer._last_size
new_size = renderer.output.get_size()
if (
old_size
and new_size.columns < old_size.columns
and new_size.columns > 0
):
reflow_factor = (
(old_size.columns + new_size.columns - 1)
// new_size.columns
)
last_h = (
renderer._last_screen.height
if renderer._last_screen
else 0
)
extra = last_h * (reflow_factor - 1)
if extra > 0:
renderer._cursor_pos = _Pt(
x=renderer._cursor_pos.x,
y=renderer._cursor_pos.y + extra,
)
except Exception:
pass # never break resize handling
_original_on_resize()
@@ -10863,6 +10505,7 @@ class HermesCLI:
app._on_resize = _resize_clear_ghosts
def spinner_loop():
last_idle_refresh = 0.0
while not self._should_exit:
if not self._app:
time.sleep(0.1)
@@ -10871,11 +10514,10 @@ class HermesCLI:
self._invalidate(min_interval=0.1)
time.sleep(0.1)
else:
# Do not repaint the idle prompt every second. In non-full-screen
# prompt_toolkit mode, background redraws can fight tmux/Ghostty/cmux
# viewport restoration after focus changes and visually move the
# command input area. Keep idle stable; input/agent events still
# invalidate explicitly when the UI actually changes.
now = time.monotonic()
if now - last_idle_refresh >= 1.0:
last_idle_refresh = now
self._invalidate(min_interval=1.0)
time.sleep(0.2)
spinner_thread = threading.Thread(target=spinner_loop, daemon=True)
@@ -10917,10 +10559,6 @@ class HermesCLI:
submit_images = []
if isinstance(user_input, tuple):
user_input, submit_images = user_input
if isinstance(user_input, str):
user_input = _strip_leaked_bracketed_paste_wrappers(user_input)
user_input = _strip_leaked_terminal_responses(user_input)
# Check for commands — but detect dragged/pasted file paths first.
# See _detect_file_drop() for details.
+5 -34
View File
@@ -21,7 +21,6 @@ from typing import Optional, Dict, List, Any, Union
logger = logging.getLogger(__name__)
from hermes_time import now as _hermes_now
from utils import atomic_replace
try:
from croniter import croniter
@@ -312,12 +311,6 @@ def compute_next_run(schedule: Dict[str, Any], last_run_at: Optional[str] = None
elif schedule["kind"] == "cron":
if not HAS_CRONITER:
logger.warning(
"Cannot compute next run for cron schedule %r: 'croniter' "
"is not installed. Install the 'cron' extra (pip install "
"'hermes-agent[cron]') to re-enable recurring cron jobs.",
schedule.get("expr"),
)
return None
cron = croniter(schedule["expr"], now)
next_run = cron.get_next(datetime)
@@ -368,7 +361,7 @@ def save_jobs(jobs: List[Dict[str, Any]]):
json.dump({"jobs": jobs, "updated_at": _hermes_now().isoformat()}, f, indent=2)
f.flush()
os.fsync(f.fileno())
atomic_replace(tmp_path, JOBS_FILE)
os.replace(tmp_path, JOBS_FILE)
_secure_file(JOBS_FILE)
except BaseException:
try:
@@ -705,32 +698,10 @@ def mark_job_run(job_id: str, success: bool, error: Optional[str] = None,
# Compute next run
job["next_run_at"] = compute_next_run(job["schedule"], now)
# If no next run, decide whether this is terminal completion
# (one-shot) or a transient failure (recurring schedule couldn't
# compute — e.g. 'croniter' missing from the runtime env).
# Recurring jobs must NEVER be silently disabled: that turns a
# missing runtime dep into "job completed" and the user's
# schedule quietly goes off. See issue #16265.
# If no next run (one-shot completed), disable
if job["next_run_at"] is None:
kind = job.get("schedule", {}).get("kind")
if kind in ("cron", "interval"):
job["state"] = "error"
if not job.get("last_error"):
job["last_error"] = (
"Failed to compute next run for recurring "
"schedule (is the 'croniter' package "
"installed in the gateway's Python env?)"
)
logger.error(
"Job '%s' (%s) could not compute next_run_at; "
"leaving enabled and marking state=error so the "
"job is not silently disabled.",
job.get("name", job["id"]),
kind,
)
else:
job["enabled"] = False
job["state"] = "completed"
job["enabled"] = False
job["state"] = "completed"
elif job.get("state") != "paused":
job["state"] = "scheduled"
@@ -864,7 +835,7 @@ def save_job_output(job_id: str, output: str):
f.write(output)
f.flush()
os.fsync(f.fileno())
atomic_replace(tmp_path, output_file)
os.replace(tmp_path, output_file)
_secure_file(output_file)
except BaseException:
try:
+5 -39
View File
@@ -77,7 +77,7 @@ _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
@@ -198,9 +198,7 @@ def _resolve_single_delivery_target(job: dict, deliver_value: str) -> Optional[d
if resolved:
parsed_chat_id, parsed_thread_id, resolved_is_explicit = _parse_target_ref(platform_key, resolved)
if resolved_is_explicit:
chat_id = parsed_chat_id
if parsed_thread_id is not None:
thread_id = parsed_thread_id
chat_id, thread_id = parsed_chat_id, parsed_thread_id
else:
chat_id = resolved
except Exception:
@@ -339,7 +337,6 @@ 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
@@ -718,7 +715,7 @@ def _build_job_prompt(job: dict, prerun_script: Optional[tuple] = None) -> str:
# 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 "
@@ -754,7 +751,7 @@ 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,
]
@@ -762,7 +759,7 @@ 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)}']"
@@ -824,8 +821,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
logger.info("Running job '%s' (ID: %s)", job_name, job_id)
logger.info("Prompt: %s", prompt[:100])
agent = None
# Mark this as a cron session so the approval system can apply cron_mode.
# This env var is process-wide and persists for the lifetime of the
# scheduler process — every job this process runs is a cron job.
@@ -1174,24 +1169,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
_session_db.close()
except (Exception, KeyboardInterrupt) as e:
logger.debug("Job '%s': failed to close SQLite session store: %s", job_id, e)
# Release subprocesses, terminal sandboxes, browser daemons, and the
# main OpenAI/httpx client held by this ephemeral cron agent. Without
# this, a gateway that ticks cron every N minutes leaks fds per job
# until it hits EMFILE (#10200 / "too many open files").
try:
if agent is not None:
agent.close()
except (Exception, KeyboardInterrupt) as e:
logger.debug("Job '%s': failed to close agent resources: %s", job_id, e)
# Each cron run spins up a short-lived worker thread whose event loop
# dies as soon as the ``ThreadPoolExecutor`` shuts down. Any async
# httpx clients cached under that loop are now unusable — reap them
# so their transports don't accumulate in the process-global cache.
try:
from agent.auxiliary_client import cleanup_stale_async_clients
cleanup_stale_async_clients()
except Exception as e:
logger.debug("Job '%s': failed to reap stale auxiliary clients: %s", job_id, e)
def tick(verbose: bool = True, adapters=None, loop=None) -> int:
@@ -1331,17 +1308,6 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
_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)
return sum(_results)
finally:
if fcntl:
+7 -9
View File
@@ -41,15 +41,6 @@ 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
@@ -76,6 +67,13 @@ if [ ! -f "$HERMES_HOME/config.yaml" ]; then
cp "$INSTALL_DIR/cli-config.yaml.example" "$HERMES_HOME/config.yaml"
fi
# Ensure the main config file remains accessible to the hermes runtime user
# even if it was edited on the host after initial ownership setup.
if [ -f "$HERMES_HOME/config.yaml" ]; then
chown hermes:hermes "$HERMES_HOME/config.yaml"
chmod 640 "$HERMES_HOME/config.yaml"
fi
# SOUL.md
if [ ! -f "$HERMES_HOME/SOUL.md" ]; then
cp "$INSTALL_DIR/docker/SOUL.md" "$HERMES_HOME/SOUL.md"
-1
View File
@@ -36,7 +36,6 @@
imports = [
./nix/packages.nix
./nix/overlays.nix
./nix/nixosModules.nix
./nix/checks.nix
./nix/devShell.nix
+85
View File
@@ -0,0 +1,85 @@
"""Built-in boot-md hook — run ~/.hermes/BOOT.md on gateway startup.
This hook is always registered. It silently skips if no BOOT.md exists.
To activate, create ``~/.hermes/BOOT.md`` with instructions for the
agent to execute on every gateway restart.
Example BOOT.md::
# Startup Checklist
1. Check if any cron jobs failed overnight
2. Send a status update to Discord #general
3. If there are errors in /opt/app/deploy.log, summarize them
The agent runs in a background thread so it doesn't block gateway
startup. If nothing needs attention, it replies with [SILENT] to
suppress delivery.
"""
import logging
import threading
logger = logging.getLogger("hooks.boot-md")
from hermes_constants import get_hermes_home
HERMES_HOME = get_hermes_home()
BOOT_FILE = HERMES_HOME / "BOOT.md"
def _build_boot_prompt(content: str) -> str:
"""Wrap BOOT.md content in a system-level instruction."""
return (
"You are running a startup boot checklist. Follow the BOOT.md "
"instructions below exactly.\n\n"
"---\n"
f"{content}\n"
"---\n\n"
"Execute each instruction. If you need to send a message to a "
"platform, use the send_message tool.\n"
"If nothing needs attention and there is nothing to report, "
"reply with ONLY: [SILENT]"
)
def _run_boot_agent(content: str) -> None:
"""Spawn a one-shot agent session to execute the boot instructions."""
try:
from run_agent import AIAgent
prompt = _build_boot_prompt(content)
agent = AIAgent(
quiet_mode=True,
skip_context_files=True,
skip_memory=True,
max_iterations=20,
)
result = agent.run_conversation(prompt)
response = result.get("final_response", "")
if response and "[SILENT]" not in response:
logger.info("boot-md completed: %s", response[:200])
else:
logger.info("boot-md completed (nothing to report)")
except Exception as e:
logger.error("boot-md agent failed: %s", e)
async def handle(event_type: str, context: dict) -> None:
"""Gateway startup handler — run BOOT.md if it exists."""
if not BOOT_FILE.exists():
return
content = BOOT_FILE.read_text(encoding="utf-8").strip()
if not content:
return
logger.info("Running BOOT.md (%d chars)", len(content))
# Run in a background thread so we don't block gateway startup.
thread = threading.Thread(
target=_run_boot_agent,
args=(content,),
name="boot-md",
daemon=True,
)
thread.start()
+14 -67
View File
@@ -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")
+3 -84
View File
@@ -67,7 +67,6 @@ class Platform(Enum):
WEIXIN = "weixin"
BLUEBUBBLES = "bluebubbles"
QQBOT = "qqbot"
YUANBAO = "yuanbao"
@dataclass
@@ -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")
@@ -566,8 +550,6 @@ def load_gateway_config() -> GatewayConfig:
existing = {}
# Deep-merge extra dicts so gateway.json defaults survive
merged_extra = {**existing.get("extra", {}), **plat_block.get("extra", {})}
if plat_name == Platform.SLACK.value and "enabled" in plat_block:
merged_extra["_enabled_explicit"] = True
merged = {**existing, **plat_block}
if merged_extra:
merged["extra"] = merged_extra
@@ -588,8 +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:
@@ -604,7 +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"]
@@ -612,21 +592,16 @@ def load_gateway_config() -> GatewayConfig:
bridged["channel_prompts"] = {str(k): v for k, v in channel_prompts.items()}
else:
bridged["channel_prompts"] = channel_prompts
enabled_was_explicit = "enabled" in platform_cfg
if not bridged and not enabled_was_explicit:
if not bridged:
continue
plat_data = platforms_data.setdefault(plat.value, {})
if not isinstance(plat_data, dict):
plat_data = {}
platforms_data[plat.value] = plat_data
if enabled_was_explicit:
plat_data["enabled"] = platform_cfg["enabled"]
extra = plat_data.setdefault("extra", {})
if not isinstance(extra, dict):
extra = {}
plat_data["extra"] = extra
if plat == Platform.SLACK and enabled_was_explicit:
extra["_enabled_explicit"] = True
extra.update(bridged)
# Slack settings → env vars (env vars take precedence)
@@ -634,8 +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")
@@ -945,20 +918,8 @@ 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
else:
slack_config = config.platforms[Platform.SLACK]
enabled_was_explicit = bool(slack_config.extra.pop("_enabled_explicit", False))
if not slack_config.enabled and not enabled_was_explicit:
# Top-level Slack settings such as channel prompts should not
# turn an env-token setup into a disabled platform. Only an
# explicit slack.enabled/platforms.slack.enabled false should.
slack_config.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:
@@ -1315,48 +1276,6 @@ 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:
+1 -3
View File
@@ -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,
+12 -6
View File
@@ -52,13 +52,19 @@ class HookRegistry:
return list(self._loaded_hooks)
def _register_builtin_hooks(self) -> None:
"""Register built-in hooks that are always active.
"""Register built-in hooks that are always active."""
try:
from gateway.builtin_hooks.boot_md import handle as boot_md_handle
Currently empty no shipped built-in hooks. Kept as the extension
point for future always-on gateway hooks so they drop in without
re-plumbing discover_and_load().
"""
return
self._handlers.setdefault("gateway:startup", []).append(boot_md_handle)
self._loaded_hooks.append({
"name": "boot-md",
"description": "Run ~/.hermes/BOOT.md on gateway startup",
"events": ["gateway:startup"],
"path": "(builtin)",
})
except Exception as e:
print(f"[hooks] Could not load built-in boot-md hook: {e}", flush=True)
def discover_and_load(self) -> None:
"""
+11 -57
View File
@@ -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:
+1 -2
View File
@@ -28,7 +28,6 @@ from pathlib import Path
from typing import Optional
from hermes_constants import get_hermes_dir
from utils import atomic_replace
# Unambiguous alphabet -- excludes 0/O, 1/I to prevent confusion
@@ -60,7 +59,7 @@ def _secure_write(path: Path, data: str) -> None:
f.write(data)
f.flush()
os.fsync(f.fileno())
atomic_replace(tmp_path, path)
os.replace(tmp_path, str(path))
try:
os.chmod(path, 0o600)
except OSError:
-2
View File
@@ -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",
]
+11 -198
View File
@@ -307,14 +307,9 @@ def proxy_kwargs_for_aiohttp(proxy_url: str | None) -> tuple[dict, dict]:
"""Build kwargs for standalone ``aiohttp.ClientSession`` with proxy.
Returns ``(session_kwargs, request_kwargs)`` where:
- With aiohttp-socks ``({"connector": ProxyConnector(...)}, {})``
for *all* proxy schemes (SOCKS **and** HTTP/HTTPS).
- HTTP without aiohttp-socks ``({}, {"proxy": url})``.
- None ``({}, {})``.
Prefer the connector path: it works transparently with libraries
(like mautrix) that call ``session.request()`` without forwarding
per-request ``proxy=`` kwargs.
- SOCKS ``({"connector": ProxyConnector(...)}, {})``
- HTTP ``({}, {"proxy": url})``
- None ``({}, {})``
Usage::
@@ -325,53 +320,20 @@ def proxy_kwargs_for_aiohttp(proxy_url: str | None) -> tuple[dict, dict]:
"""
if not proxy_url:
return {}, {}
try:
from aiohttp_socks import ProxyConnector
if proxy_url.lower().startswith("socks"):
try:
from aiohttp_socks import ProxyConnector
connector = ProxyConnector.from_url(proxy_url, rdns=True)
return {"connector": connector}, {}
except ImportError:
if proxy_url.lower().startswith("socks"):
connector = ProxyConnector.from_url(proxy_url, rdns=True)
return {"connector": connector}, {}
except ImportError:
logger.warning(
"aiohttp_socks not installed — SOCKS proxy %s ignored. "
"Run: pip install aiohttp-socks",
proxy_url,
)
return {}, {}
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
return {}, {"proxy": proxy_url}
from dataclasses import dataclass, field
@@ -731,15 +693,7 @@ 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",
@@ -907,41 +861,6 @@ class MessageEvent:
return args
_PLAINTEXT_GATEWAY_RESTART_PATTERNS: tuple[re.Pattern[str], ...] = (
re.compile(r"^(?:please\s+)?restart\s+(?:the\s+)?gateway[.!?\s]*$", re.IGNORECASE),
re.compile(r"^(?:please\s+)?restart\s+(?:the\s+)?hermes\s+gateway[.!?\s]*$", re.IGNORECASE),
re.compile(r"^(?:please\s+)?restart\s+hermes[.!?\s]*$", re.IGNORECASE),
)
def coerce_plaintext_gateway_command(event: "MessageEvent") -> None:
"""Rewrite a tiny set of DM plaintext admin phrases into slash commands.
This keeps high-impact operational phrases like ``restart gateway`` out of
the LLM/tool path, where they can trigger a self-restart from inside the
currently running agent and leave the gateway stuck in ``draining`` while it
waits for that same agent to finish.
Scope is intentionally narrow: DM text messages only, exact restart-style
phrases only. Group chats keep natural-language semantics.
"""
try:
if event is None or event.message_type != MessageType.TEXT:
return
text = (event.text or "").strip()
if not text or text.startswith("/"):
return
source = getattr(event, "source", None)
if getattr(source, "chat_type", None) != "dm":
return
for pattern in _PLAINTEXT_GATEWAY_RESTART_PATTERNS:
if pattern.match(text):
event.text = "/restart"
return
except Exception:
return
@dataclass
class SendResult:
"""Result of sending a message."""
@@ -1063,61 +982,6 @@ 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.
@@ -1394,27 +1258,6 @@ 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.
@@ -1742,41 +1585,13 @@ class BasePlatformAdapter(ABC):
the agent is waiting for dangerous-command approval). This is critical
for Slack's Assistant API where ``assistant_threads_setStatus`` disables
the compose box pausing lets the user type ``/approve`` or ``/deny``.
Each ``send_typing`` call is bounded by a ~1.5s timeout so a slow
network round-trip can't stall the refresh cadence. Telegram- and
Discord-side typing expire after ~5s; if any individual send_typing
takes longer than the refresh interval, the bubble would die and
stay dead until that call returns. Abandoning the slow call lets
the next tick fire a fresh send_typing on schedule as long as
one of them succeeds within the 5s platform-side window, the bubble
stays visible across provider stalls / upstream API timeouts.
"""
# Bound each send_typing round-trip so the refresh cadence isn't
# gated on network health. Must stay below ``interval`` so a slow
# call gets abandoned before the next scheduled tick.
_send_typing_timeout = max(0.25, min(1.5, interval - 0.25))
try:
while True:
if stop_event is not None and stop_event.is_set():
return
if chat_id not in self._typing_paused:
try:
await asyncio.wait_for(
self.send_typing(chat_id, metadata=metadata),
timeout=_send_typing_timeout,
)
except asyncio.TimeoutError:
# Slow network — abandon this tick, keep the loop
# on schedule so the next send_typing fires fresh.
pass
except asyncio.CancelledError:
raise
except Exception as typing_err:
logger.debug(
"[%s] send_typing error (non-fatal): %s",
self.name, typing_err,
)
await self.send_typing(chat_id, metadata=metadata)
if stop_event is None:
await asyncio.sleep(interval)
continue
@@ -2228,8 +2043,6 @@ class BasePlatformAdapter(ABC):
"""
if not self._message_handler:
return
coerce_plaintext_gateway_command(event)
session_key = build_session_key(
event.source,
+19 -18
View File
@@ -305,7 +305,7 @@ class VoiceReceiver:
encrypted = bytes(payload_with_nonce[:-4])
try:
import nacl.secret # noqa: E402 — delayed import, only in voice path
import nacl.secret # noqa: delayed import only in voice path
box = nacl.secret.Aead(self._secret_key)
decrypted = box.decrypt(encrypted, header, bytes(nonce))
except Exception as e:
@@ -813,14 +813,7 @@ class DiscordAdapter(BasePlatformAdapter):
logger.info("[%s] Synced %d slash command(s) via bulk tree sync", self.name, len(synced))
return
# Discord's per-app command-management bucket is ~5 writes / 20 s,
# so a mass-prune-plus-upsert reconcile (e.g. 77 orphans + 30
# desired = 107 writes) takes several minutes of forced waits.
# A flat 30 s budget blew up reliably under bucket pressure and
# left slash commands broken for ~60 min until the bucket fully
# recovered. Use a wide ceiling; the cap still guards against a
# true hang. (#16713)
summary = await asyncio.wait_for(self._safe_sync_slash_commands(), timeout=600)
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,
@@ -832,11 +825,7 @@ class DiscordAdapter(BasePlatformAdapter):
summary["deleted"],
)
except asyncio.TimeoutError:
logger.warning(
"[%s] Slash command sync timed out — Discord rate-limit bucket "
"may be saturated; will retry on next reconnect",
self.name,
)
logger.warning("[%s] Slash command sync timed out after 30s", self.name)
except asyncio.CancelledError:
raise
except Exception as e: # pragma: no cover - defensive logging
@@ -2690,8 +2679,21 @@ 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."""
@@ -3305,7 +3307,6 @@ class DiscordAdapter(BasePlatformAdapter):
chat_topic = self._get_effective_topic(message.channel, is_thread=is_thread)
# Build source
guild = getattr(message, "guild", None)
source = self.build_source(
chat_id=str(effective_channel.id),
chat_name=chat_name,
@@ -3315,7 +3316,7 @@ class DiscordAdapter(BasePlatformAdapter):
thread_id=thread_id,
chat_topic=chat_topic,
is_bot=getattr(message.author, "bot", False),
guild_id=str(guild.id) if guild else None,
guild_id=str(message.guild.id) if message.guild else None,
parent_chat_id=parent_channel_id,
message_id=str(message.id),
)
-3
View File
@@ -28,7 +28,6 @@ from email.header import decode_header
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.base import MIMEBase
from email.utils import formatdate
from email import encoders
from pathlib import Path
from typing import Any, Dict, List, Optional
@@ -505,7 +504,6 @@ class EmailAdapter(BasePlatformAdapter):
msg["In-Reply-To"] = original_msg_id
msg["References"] = original_msg_id
msg["Date"] = formatdate(localtime=True)
msg_id = f"<hermes-{uuid.uuid4().hex[:12]}@{self._address.split('@')[1]}>"
msg["Message-ID"] = msg_id
@@ -588,7 +586,6 @@ class EmailAdapter(BasePlatformAdapter):
msg["In-Reply-To"] = original_msg_id
msg["References"] = original_msg_id
msg["Date"] = formatdate(localtime=True)
msg_id = f"<hermes-{uuid.uuid4().hex[:12]}@{self._address.split('@')[1]}>"
msg["Message-ID"] = msg_id
+1
View File
@@ -974,6 +974,7 @@ def build_whole_comment_prompt(
def _resolve_model_and_runtime() -> Tuple[str, dict]:
"""Resolve model and provider credentials, same as gateway message handling."""
import os
from gateway.run import _load_gateway_config, _resolve_gateway_model
user_config = _load_gateway_config()
+2 -11
View File
@@ -11,10 +11,10 @@ import logging
import re
import time
from pathlib import Path
from typing import TYPE_CHECKING, Dict
from typing import TYPE_CHECKING, Dict, Optional
if TYPE_CHECKING:
from gateway.platforms.base import MessageEvent
from gateway.platforms.base import BasePlatformAdapter, MessageEvent
logger = logging.getLogger(__name__)
@@ -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):
+47 -493
View File
@@ -11,7 +11,6 @@ Environment variables:
MATRIX_PASSWORD Password (alternative to access token)
MATRIX_ENCRYPTION Set "true" to enable E2EE
MATRIX_DEVICE_ID Stable device ID for E2EE persistence across restarts
MATRIX_PROXY HTTP(S) or SOCKS proxy URL for Matrix traffic
MATRIX_ALLOWED_USERS Comma-separated Matrix user IDs (@user:server)
MATRIX_HOME_ROOM Room ID for cron/notification delivery
MATRIX_REACTIONS Set "false" to disable processing lifecycle reactions
@@ -19,7 +18,6 @@ Environment variables:
MATRIX_REQUIRE_MENTION Require @mention in rooms (default: true)
MATRIX_FREE_RESPONSE_ROOMS Comma-separated room IDs exempt from mention requirement
MATRIX_AUTO_THREAD Auto-create threads for room messages (default: true)
MATRIX_DM_AUTO_THREAD Auto-create threads for DM messages (default: false)
MATRIX_RECOVERY_KEY Recovery key for cross-signing verification after device key rotation
MATRIX_DM_MENTION_THREADS Create a thread when bot is @mentioned in a DM (default: false)
"""
@@ -32,8 +30,6 @@ import mimetypes
import os
import re
import time
from dataclasses import dataclass
from html import escape as _html_escape
from pathlib import Path
from typing import Any, Dict, Optional, Set
@@ -99,25 +95,11 @@ from gateway.platforms.base import (
MessageType,
ProcessingOutcome,
SendResult,
resolve_proxy_url,
proxy_kwargs_for_aiohttp,
)
from gateway.platforms.helpers import ThreadParticipationTracker
logger = logging.getLogger(__name__)
@dataclass
class _MatrixApprovalPrompt:
"""Tracks a pending Matrix reaction-based exec approval prompt."""
def __init__(self, session_key: str, chat_id: str, message_id: str, resolved: bool = False):
self.session_key = session_key
self.chat_id = chat_id
self.message_id = message_id
self.resolved = resolved
self.bot_reaction_events: dict[str, str] = {} # emoji -> event_id
# Matrix message size limit (4000 chars practical, spec has no hard limit
# but clients render poorly above this).
MAX_MESSAGE_LENGTH = 4000
@@ -132,85 +114,11 @@ _CRYPTO_DB_PATH = _STORE_DIR / "crypto.db"
# Grace period: ignore messages older than this many seconds before startup.
_STARTUP_GRACE_SECONDS = 5
_OUTBOUND_MENTION_RE = re.compile(
r"(?<![\w/])(@[0-9A-Za-z._=/-]+:[0-9A-Za-z.-]+(?::\d+)?)"
)
_E2EE_INSTALL_HINT = (
"Install with: pip install 'mautrix[encryption]' (requires libolm C library)"
)
_MATRIX_IMAGE_FILENAME_EXTS = frozenset({
".jpg",
".jpeg",
".png",
".gif",
".webp",
".bmp",
".svg",
".heic",
".heif",
".avif",
})
def _looks_like_matrix_image_filename(text: str) -> bool:
"""Return True when Matrix image body text is probably just a transport filename.
Matrix ``m.image`` events commonly populate ``content.body`` with the uploaded
filename when the user did not add a caption. Treating that raw filename as
user-authored text confuses downstream vision enrichment.
"""
candidate = str(text or "").strip()
if not candidate or "\n" in candidate or candidate.endswith("/"):
return False
name = Path(candidate).name
if not name or name != candidate:
return False
suffix = Path(name).suffix.lower()
if not suffix:
return False
guessed_type, _ = mimetypes.guess_type(name)
if guessed_type and guessed_type.startswith("image/"):
return True
return suffix in _MATRIX_IMAGE_FILENAME_EXTS
def _create_matrix_session(proxy_url: str | None):
"""Create an ``aiohttp.ClientSession`` whose proxy applies to *all* requests.
mautrix's ``HTTPAPI._send()`` calls ``session.request()`` without forwarding
per-request ``proxy=`` kwargs. For HTTP(S) proxies we use aiohttp's native
``proxy=`` session parameter which sets a default for every request. For SOCKS
we use ``aiohttp_socks.ProxyConnector`` (connector-level).
When no proxy is configured we enable ``trust_env`` so standard env vars
(``HTTP_PROXY`` / ``HTTPS_PROXY``) are honoured automatically.
"""
import aiohttp
if not proxy_url:
return aiohttp.ClientSession(trust_env=True)
if proxy_url.split("://")[0].lower().startswith("socks"):
try:
from aiohttp_socks import ProxyConnector
return aiohttp.ClientSession(
connector=ProxyConnector.from_url(proxy_url, rdns=True),
)
except ImportError:
logger.warning(
"aiohttp_socks not installed — SOCKS proxy %s ignored. "
"Run: pip install aiohttp-socks",
proxy_url,
)
return aiohttp.ClientSession(trust_env=True)
return aiohttp.ClientSession(proxy=proxy_url)
def _check_e2ee_deps() -> bool:
"""Return True if mautrix E2EE dependencies (python-olm) are available."""
@@ -352,9 +260,6 @@ class MatrixAdapter(BasePlatformAdapter):
"1",
"yes",
)
self._dm_auto_thread: bool = os.getenv(
"MATRIX_DM_AUTO_THREAD", "false"
).lower() in ("true", "1", "yes")
self._dm_mention_threads: bool = os.getenv(
"MATRIX_DM_MENTION_THREADS", "false"
).lower() in ("true", "1", "yes")
@@ -365,11 +270,6 @@ class MatrixAdapter(BasePlatformAdapter):
).lower() not in ("false", "0", "no")
self._pending_reactions: dict[tuple[str, str], str] = {}
# Proxy support — resolve once at init, reuse for all HTTP traffic.
self._proxy_url: str | None = resolve_proxy_url(platform_env_var="MATRIX_PROXY")
if self._proxy_url:
logger.info("Matrix: proxy configured — %s", self._proxy_url)
# Text batching: merge rapid successive messages (Telegram-style).
# Matrix clients split long messages around 4000 chars.
self._text_batch_delay_seconds = float(
@@ -381,18 +281,6 @@ class MatrixAdapter(BasePlatformAdapter):
self._pending_text_batches: Dict[str, MessageEvent] = {}
self._pending_text_batch_tasks: Dict[str, asyncio.Task] = {}
# Matrix reaction-based dangerous command approvals.
self._approval_reaction_map = {
"": "once",
"": "deny",
}
self._approval_prompts_by_event: Dict[str, _MatrixApprovalPrompt] = {}
self._approval_prompt_by_session: Dict[str, str] = {}
allowed_users_raw = os.getenv("MATRIX_ALLOWED_USERS", "")
self._allowed_user_ids: Set[str] = {
u.strip() for u in allowed_users_raw.split(",") if u.strip()
}
def _is_duplicate_event(self, event_id) -> bool:
"""Return True if this event was already processed. Tracks the ID otherwise."""
if not event_id:
@@ -438,7 +326,7 @@ class MatrixAdapter(BasePlatformAdapter):
)
return False
except Exception as exc:
logger.error("Matrix: post-upload key verification failed: %s", exc, exc_info=True)
logger.error("Matrix: post-upload key verification failed: %s", exc)
return False
return True
@@ -454,7 +342,6 @@ class MatrixAdapter(BasePlatformAdapter):
logger.error(
"Matrix: cannot verify device keys on server: %s — refusing E2EE",
exc,
exc_info=True,
)
return False
@@ -469,7 +356,7 @@ class MatrixAdapter(BasePlatformAdapter):
try:
await olm.share_keys()
except Exception as exc:
logger.error("Matrix: failed to re-upload device keys: %s", exc, exc_info=True)
logger.error("Matrix: failed to re-upload device keys: %s", exc)
return False
return await self._reverify_keys_after_upload(client, local_ed25519)
@@ -509,7 +396,6 @@ class MatrixAdapter(BasePlatformAdapter):
"Try generating a new access token to get a fresh device.",
client.device_id,
exc,
exc_info=True,
)
return False
return await self._reverify_keys_after_upload(client, local_ed25519)
@@ -534,11 +420,9 @@ class MatrixAdapter(BasePlatformAdapter):
_STORE_DIR.mkdir(parents=True, exist_ok=True)
# Create the HTTP API layer.
client_session = _create_matrix_session(self._proxy_url)
api = HTTPAPI(
base_url=self._homeserver,
token=self._access_token or "",
client_session=client_session,
)
# Create the client.
@@ -581,7 +465,6 @@ class MatrixAdapter(BasePlatformAdapter):
logger.error(
"Matrix: whoami failed — check MATRIX_ACCESS_TOKEN and MATRIX_HOMESERVER: %s",
exc,
exc_info=True,
)
await api.session.close()
return False
@@ -724,44 +607,6 @@ class MatrixAdapter(BasePlatformAdapter):
logger.warning(
"Matrix: recovery key verification failed: %s", exc
)
else:
# No recovery key — bootstrap cross-signing if the bot
# has none yet. Without this, Element shows "Encrypted
# by a device not verified by its owner" on every
# message from this bot, indefinitely. mautrix's
# generate_recovery_key does the full flow: generates
# MSK/SSK/USK, uploads private keys to SSSS, publishes
# public keys to the homeserver, and signs the current
# device with the new SSK. Some homeservers require UIA
# for /keys/device_signing/upload — those will need an
# alternate path; Continuwuity and Synapse-with-shared-
# secret accept the unauthenticated upload.
try:
own_xsign = await olm.get_own_cross_signing_public_keys()
except Exception as exc:
own_xsign = None
logger.warning(
"Matrix: cross-signing key lookup failed: %s", exc
)
if own_xsign is None:
try:
new_recovery_key = await olm.generate_recovery_key()
logger.warning(
"Matrix: bootstrapped cross-signing for %s. "
"SAVE THIS RECOVERY KEY — set "
"MATRIX_RECOVERY_KEY for future restarts so "
"the bot can re-sign its device after key "
"rotation: %s",
client.mxid,
new_recovery_key,
)
except Exception as exc:
logger.warning(
"Matrix: cross-signing bootstrap failed "
"(non-fatal — Element will show 'not "
"verified by its owner'): %s",
exc,
)
client.crypto = olm
logger.info(
@@ -819,7 +664,6 @@ class MatrixAdapter(BasePlatformAdapter):
await asyncio.gather(*tasks)
except Exception as exc:
logger.warning("Matrix: initial sync event dispatch error: %s", exc)
await self._join_pending_invites(sync_data)
else:
logger.warning(
"Matrix: initial sync returned unexpected type %s",
@@ -883,8 +727,17 @@ class MatrixAdapter(BasePlatformAdapter):
chunks = self.truncate_message(formatted, MAX_MESSAGE_LENGTH)
last_event_id = None
for i, chunk in enumerate(chunks):
msg_content = self._build_text_message_content(chunk)
for chunk in chunks:
msg_content: Dict[str, Any] = {
"msgtype": "m.text",
"body": chunk,
}
# Convert markdown to HTML for rich rendering.
html = self._markdown_to_html(chunk)
if html and html != chunk:
msg_content["format"] = "org.matrix.custom.html"
msg_content["formatted_body"] = html
# Reply-to support.
if reply_to:
@@ -991,21 +844,25 @@ class MatrixAdapter(BasePlatformAdapter):
"""Edit an existing message (via m.replace)."""
formatted = self.format_message(content)
new_content = self._build_text_message_content(formatted)
msg_content: Dict[str, Any] = {
"msgtype": "m.text",
"body": f"* {formatted}",
"m.new_content": new_content,
"m.new_content": {
"msgtype": "m.text",
"body": formatted,
},
"m.relates_to": {
"rel_type": "m.replace",
"event_id": message_id,
},
}
if "m.mentions" in new_content:
msg_content["m.mentions"] = new_content["m.mentions"]
if "formatted_body" in new_content:
html = self._markdown_to_html(formatted)
if html and html != formatted:
msg_content["m.new_content"]["format"] = "org.matrix.custom.html"
msg_content["m.new_content"]["formatted_body"] = html
msg_content["format"] = "org.matrix.custom.html"
msg_content["formatted_body"] = f'* {new_content["formatted_body"]}'
msg_content["m.relates_to"] = {
"rel_type": "m.replace",
"event_id": message_id,
}
msg_content["formatted_body"] = f"* {html}"
try:
event_id = await self._client.send_message_event(
@@ -1038,12 +895,10 @@ class MatrixAdapter(BasePlatformAdapter):
# Try aiohttp first (always available), fall back to httpx
try:
import aiohttp as _aiohttp
_sess_kw, _req_kw = proxy_kwargs_for_aiohttp(self._proxy_url)
async with _aiohttp.ClientSession(**_sess_kw) as http:
async with _aiohttp.ClientSession(trust_env=True) as http:
async with http.get(
image_url,
timeout=_aiohttp.ClientTimeout(total=30),
**_req_kw,
image_url, timeout=_aiohttp.ClientTimeout(total=30)
) as resp:
resp.raise_for_status()
data = await resp.read()
@@ -1053,10 +908,8 @@ class MatrixAdapter(BasePlatformAdapter):
)
except ImportError:
import httpx
_httpx_kw: dict = {}
if self._proxy_url:
_httpx_kw["proxy"] = self._proxy_url
async with httpx.AsyncClient(**_httpx_kw) as http:
async with httpx.AsyncClient() as http:
resp = await http.get(image_url, follow_redirects=True, timeout=30)
resp.raise_for_status()
data = resp.content
@@ -1131,56 +984,6 @@ class MatrixAdapter(BasePlatformAdapter):
chat_id, video_path, "m.video", caption, reply_to, metadata=metadata
)
async def send_exec_approval(
self,
chat_id: str,
command: str,
session_key: str,
description: str = "dangerous command",
metadata: Optional[dict] = None,
) -> SendResult:
"""Send a reaction-based exec approval prompt for Matrix."""
if not self._client:
return SendResult(success=False, error="Not connected")
cmd_preview = command[:2000] + "..." if len(command) > 2000 else command
text = (
"⚠️ **Dangerous command requires approval**\n"
f"```\n{cmd_preview}\n```\n"
f"Reason: {description}\n\n"
"Reply `/approve` to execute, `/approve session` to approve this pattern for the session, "
"`/approve always` to approve permanently, or `/deny` to cancel.\n\n"
"You can also click the reaction to approve:\n"
"✅ = /approve\n"
"❎ = /deny"
)
result = await self.send(chat_id, text, metadata=metadata)
if not result.success or not result.message_id:
return result
prompt = _MatrixApprovalPrompt(
session_key=session_key,
chat_id=chat_id,
message_id=result.message_id,
)
old_event = self._approval_prompt_by_session.get(session_key)
if old_event:
self._approval_prompts_by_event.pop(old_event, None)
self._approval_prompts_by_event[result.message_id] = prompt
self._approval_prompt_by_session[session_key] = result.message_id
for emoji in ("", ""):
try:
reaction_result = await self._send_reaction(chat_id, result.message_id, emoji)
# Save the bot's reaction event_id for later cleanup
if reaction_result:
prompt.bot_reaction_events[emoji] = str(reaction_result)
except Exception as exc:
logger.debug("Matrix: failed to add approval reaction %s: %s", emoji, exc)
return result
def format_message(self, content: str) -> str:
"""Pass-through — Matrix supports standard Markdown natively."""
# Strip image markdown; media is uploaded separately.
@@ -1312,15 +1115,9 @@ class MatrixAdapter(BasePlatformAdapter):
next_batch = await client.sync_store.get_next_batch()
while not self._closing:
try:
# Wrap in asyncio.wait_for to guard against TCP-level hangs
# that the Matrix long-poll timeout cannot catch. Long-poll
# is 30s, so 45s gives 15s slack for network drain.
sync_data = await asyncio.wait_for(
client.sync(
since=next_batch,
timeout=30000,
),
timeout=45.0,
sync_data = await client.sync(
since=next_batch,
timeout=30000,
)
# nio returns SyncError objects (not exceptions) for auth
@@ -1356,7 +1153,6 @@ class MatrixAdapter(BasePlatformAdapter):
await asyncio.gather(*tasks)
except Exception as exc:
logger.warning("Matrix: sync event dispatch error: %s", exc)
await self._join_pending_invites(sync_data)
except asyncio.CancelledError:
return
@@ -1382,92 +1178,13 @@ class MatrixAdapter(BasePlatformAdapter):
# Event callbacks
# ------------------------------------------------------------------
def _is_self_sender(self, sender: str) -> bool:
"""Return True if the sender refers to the bot's own account.
Matrix user IDs are byte-compared after trimming whitespace and
lowercasing some homeservers normalize the localpart case
differently at different API surfaces, and the reply-loop tail
of the "hall of mirrors" bug (#15763) has been observed with the
bot's own account bypassing a case-sensitive equality check.
When ``self._user_id`` is empty (whoami hasn't resolved yet, or
login failed), we cannot prove a sender is NOT us, so we return
True defensively an unidentified bot dropping its own events
is always preferable to falling into an echo loop.
"""
own = (self._user_id or "").strip().lower()
if not own:
return True
return sender.strip().lower() == own
@staticmethod
def _is_system_or_bridge_sender(sender: str) -> bool:
"""Return True if the sender looks like a system / bridge / appservice
identity rather than a real user.
Appservice namespaces on Matrix conventionally prefix bot / puppet
user IDs with an underscore (e.g. ``@_telegram_12345:server``,
``@_discord_999:server``, ``@_slack_...:server``). Server-notices
bots and bridge-controller bots on many homeservers use the same
pattern.
We treat these as system identities for pairing purposes: they
should never be offered a pairing code, because an operator
approving the code would hand the bridge itself permanent
authorization and every outbound message relayed by the bridge
would then loop back into the agent as an "authorized user
message", which is the root of issue #15763.
Matches:
``@_something:server`` appservice namespace convention
``@:server`` malformed / empty localpart
``:server`` malformed, no leading ``@``
"""
s = (sender or "").strip()
if not s:
return True
# Localpart is everything between leading '@' and ':'
if s.startswith("@"):
s = s[1:]
if ":" in s:
localpart, _, _ = s.partition(":")
else:
localpart = s
if not localpart:
return True
return localpart.startswith("_")
async def _on_room_message(self, event: Any) -> None:
"""Handle incoming room message events (text, media)."""
room_id = str(getattr(event, "room_id", ""))
sender = str(getattr(event, "sender", ""))
# Diagnostic: confirm the callback is firing at all when DEBUG is on.
# Helps users troubleshoot silent inbound issues like #5819, #7914, #12614.
logger.debug(
"Matrix: callback fired — event %s from %s in %s",
getattr(event, "event_id", "?"),
sender,
room_id,
)
# Ignore own messages (case-insensitive; also drops when our own
# user_id hasn't been resolved yet — see _is_self_sender docstring
# and issue #15763).
if self._is_self_sender(sender):
return
# Ignore appservice / bridge / system identities so they never
# trigger the pairing flow. Once a bridge user is paired, every
# outbound message it relays would loop back as an authorized
# user message (the "hall of mirrors" in #15763).
if self._is_system_or_bridge_sender(sender):
logger.debug(
"Matrix: ignoring system/bridge sender %s in %s",
sender,
room_id,
)
# Ignore own messages.
if sender == self._user_id:
return
# Deduplicate by event ID.
@@ -1563,12 +1280,6 @@ class MatrixAdapter(BasePlatformAdapter):
in_bot_thread = bool(thread_id and thread_id in self._threads)
if self._require_mention and not is_free_room and not in_bot_thread:
if not is_mentioned:
logger.debug(
"Matrix: ignoring message %s in %s — no @mention "
"(set MATRIX_REQUIRE_MENTION=false to disable)",
event_id,
room_id,
)
return None
# DM mention-thread.
@@ -1581,7 +1292,7 @@ class MatrixAdapter(BasePlatformAdapter):
body = self._strip_mention(body)
# Auto-thread.
if not thread_id and ((not is_dm and self._auto_thread) or (is_dm and self._dm_auto_thread)):
if not is_dm and not thread_id and self._auto_thread:
thread_id = event_id
self._threads.mark(thread_id)
@@ -1823,9 +1534,6 @@ class MatrixAdapter(BasePlatformAdapter):
return
body, is_dm, chat_type, thread_id, display_name, source = ctx
if msgtype == "m.image" and _looks_like_matrix_image_filename(body):
body = ""
allow_http_fallback = bool(http_url) and not is_encrypted_media
media_urls = (
[cached_path]
@@ -1855,35 +1563,13 @@ class MatrixAdapter(BasePlatformAdapter):
"Matrix: invited to %s — joining",
room_id,
)
await self._join_room_by_id(room_id)
async def _join_room_by_id(self, room_id: str) -> bool:
"""Join a room by ID and refresh local caches on success."""
if not room_id:
return False
if room_id in self._joined_rooms:
return True
try:
await self._client.join_room(RoomID(room_id))
self._joined_rooms.add(room_id)
logger.info("Matrix: joined %s", room_id)
await self._refresh_dm_cache()
return True
except Exception as exc:
logger.warning("Matrix: error joining %s: %s", room_id, exc)
return False
async def _join_pending_invites(self, sync_data: Dict[str, Any]) -> None:
"""Join rooms still present in rooms.invite after sync processing."""
rooms = sync_data.get("rooms", {}) if isinstance(sync_data, dict) else {}
invites = rooms.get("invite", {})
if not isinstance(invites, dict):
return
for room_id in invites:
if room_id in self._joined_rooms:
continue
logger.info("Matrix: reconciling pending invite for %s", room_id)
await self._join_room_by_id(str(room_id))
# ------------------------------------------------------------------
# Reactions (send, receive, processing lifecycle)
@@ -1968,7 +1654,7 @@ class MatrixAdapter(BasePlatformAdapter):
async def _on_reaction(self, event: Any) -> None:
"""Handle incoming reaction events."""
sender = str(getattr(event, "sender", ""))
if self._is_self_sender(sender):
if sender == self._user_id:
return
event_id = str(getattr(event, "event_id", ""))
if self._is_duplicate_event(event_id):
@@ -1998,51 +1684,6 @@ class MatrixAdapter(BasePlatformAdapter):
room_id,
)
# Check if this reaction resolves a pending approval prompt.
prompt = self._approval_prompts_by_event.get(reacts_to)
if prompt and not prompt.resolved:
if room_id != prompt.chat_id:
return
if self._allowed_user_ids and sender not in self._allowed_user_ids:
logger.info(
"Matrix: ignoring approval reaction from unauthorized user %s on %s",
sender, reacts_to,
)
return
choice = self._approval_reaction_map.get(key)
if not choice:
return
try:
from tools.approval import resolve_gateway_approval
count = resolve_gateway_approval(prompt.session_key, choice)
if count:
prompt.resolved = True
self._approval_prompts_by_event.pop(reacts_to, None)
self._approval_prompt_by_session.pop(prompt.session_key, None)
logger.info(
"Matrix reaction resolved %d approval(s) for session %s "
"(choice=%s, user=%s)",
count, prompt.session_key, choice, sender,
)
# Redact bot's seed reactions, leaving only the user's
await self._redact_bot_approval_reactions(room_id, prompt)
except Exception as exc:
logger.error("Failed to resolve gateway approval from Matrix reaction: %s", exc)
async def _redact_bot_approval_reactions(
self,
room_id: str,
prompt: "_MatrixApprovalPrompt",
) -> None:
"""Redact the bot's seed ✅/❎ reactions, leaving only the user's reaction."""
for emoji, evt_id in prompt.bot_reaction_events.items():
try:
await self.redact_message(room_id, evt_id, "approval resolved")
logger.debug("Matrix: redacted bot reaction %s (%s)", emoji, evt_id)
except Exception as exc:
logger.debug("Matrix: failed to redact bot reaction %s: %s", emoji, exc)
# ------------------------------------------------------------------
# Text message aggregation (handles Matrix client-side splits)
# ------------------------------------------------------------------
@@ -2268,7 +1909,11 @@ class MatrixAdapter(BasePlatformAdapter):
if not self._client or not text:
return SendResult(success=False, error="No client or empty text")
msg_content = self._build_text_message_content(text, msgtype=msgtype)
msg_content: Dict[str, Any] = {"msgtype": msgtype, "body": text}
html = self._markdown_to_html(text)
if html and html != text:
msg_content["format"] = "org.matrix.custom.html"
msg_content["formatted_body"] = html
try:
event_id = await self._client.send_message_event(
@@ -2331,77 +1976,6 @@ class MatrixAdapter(BasePlatformAdapter):
# Mention detection helpers
# ------------------------------------------------------------------
def _build_text_message_content(self, text: str, msgtype: str = "m.text") -> Dict[str, Any]:
"""Build Matrix text content with HTML and outbound mention metadata."""
msg_content: Dict[str, Any] = {"msgtype": msgtype, "body": text}
mention_user_ids = self._extract_outbound_mentions(text)
if mention_user_ids:
msg_content["m.mentions"] = {"user_ids": mention_user_ids}
html_source = self._inject_outbound_mention_links(text)
html = self._markdown_to_html(html_source)
if html and html != text:
msg_content["format"] = "org.matrix.custom.html"
msg_content["formatted_body"] = html
return msg_content
def _extract_outbound_mentions(self, text: str) -> list[str]:
"""Return unique Matrix user IDs mentioned in outbound text."""
protected, _ = self._protect_outbound_mention_regions(text)
seen: Set[str] = set()
mentions: list[str] = []
for match in _OUTBOUND_MENTION_RE.finditer(protected):
user_id = match.group(1)
if user_id not in seen:
seen.add(user_id)
mentions.append(user_id)
return mentions
def _inject_outbound_mention_links(self, text: str) -> str:
"""Wrap outbound Matrix mentions in markdown links outside code spans."""
if not text:
return text
protected, placeholders = self._protect_outbound_mention_regions(text)
linked = _OUTBOUND_MENTION_RE.sub(
lambda match: f"[{match.group(1)}](https://matrix.to/#/{match.group(1)})",
protected,
)
for idx, original in enumerate(placeholders):
linked = linked.replace(f"\x00MENTION_PROTECTED{idx}\x00", original)
return linked
def _protect_outbound_mention_regions(self, text: str) -> tuple[str, list[str]]:
"""Protect markdown regions where outbound mentions should stay literal."""
placeholders: list[str] = []
def _protect(fragment: str) -> str:
idx = len(placeholders)
placeholders.append(fragment)
return f"\x00MENTION_PROTECTED{idx}\x00"
protected = re.sub(
r"```[\s\S]*?```",
lambda match: _protect(match.group(0)),
text or "",
)
protected = re.sub(
r"`[^`\n]+`",
lambda match: _protect(match.group(0)),
protected,
)
protected = re.sub(
r"\[[^\]]+\]\([^)]+\)",
lambda match: _protect(match.group(0)),
protected,
)
return protected, placeholders
def _is_bot_mentioned(
self,
body: str,
@@ -2436,33 +2010,13 @@ class MatrixAdapter(BasePlatformAdapter):
return False
def _strip_mention(self, body: str) -> str:
"""Remove explicit bot mentions from message body.
"""Strip the bot's full MXID (``@user:server``) from *body*.
Important: only strip explicit mention tokens (``@user:server`` or
``@localpart``). Do NOT strip bare words matching the bot localpart,
otherwise normal phrases like "Hermes Agent" become "Agent".
The bare localpart is intentionally *not* stripped it would
mangle file paths like ``/home/hermes/media/file.png``.
"""
if not body:
return ""
# Strip explicit full MXID mentions.
if self._user_id:
body = body.replace(self._user_id, "")
# Strip explicit @localpart mentions only (not bare localpart words).
if self._user_id and ":" in self._user_id:
localpart = self._user_id.split(":")[0].lstrip("@")
if localpart:
body = re.sub(
r'(?<![\w])@' + re.escape(localpart) + r'\b',
'',
body,
flags=re.IGNORECASE,
)
# Normalize spacing after mention removal.
body = re.sub(r'[ \t]{2,}', ' ', body)
body = re.sub(r'\s+([,.;:!?])', r'\1', body)
return body.strip()
async def _get_display_name(self, room_id: str, user_id: str) -> str:
+1
View File
@@ -412,6 +412,7 @@ class MattermostAdapter(BasePlatformAdapter):
import aiohttp
last_exc = None
file_data = None
ct = "application/octet-stream"
fname = url.rsplit("/", 1)[-1].split("?")[0] or f"{kind}.png"
+7 -2
View File
@@ -1957,7 +1957,7 @@ class QQAdapter(BasePlatformAdapter):
self, openid: str, content: str, reply_to: Optional[str] = None
) -> SendResult:
"""Send text to a C2C user via REST API."""
self._next_msg_seq(reply_to or openid)
msg_seq = self._next_msg_seq(reply_to or openid)
body = self._build_text_body(content, reply_to)
if reply_to:
body["msg_id"] = reply_to
@@ -1970,7 +1970,7 @@ class QQAdapter(BasePlatformAdapter):
self, group_openid: str, content: str, reply_to: Optional[str] = None
) -> SendResult:
"""Send text to a group via REST API."""
self._next_msg_seq(reply_to or group_openid)
msg_seq = self._next_msg_seq(reply_to or group_openid)
body = self._build_text_body(content, reply_to)
if reply_to:
body["msg_id"] = reply_to
@@ -2135,6 +2135,11 @@ class QQAdapter(BasePlatformAdapter):
# Route
chat_type = self._guess_chat_type(chat_id)
target_path = (
f"/v2/users/{chat_id}/files"
if chat_type == "c2c"
else f"/v2/groups/{chat_id}/files"
)
if chat_type == "guild":
# Guild channels don't support native media upload in the same way
File diff suppressed because it is too large Load Diff
+14 -138
View File
@@ -84,7 +84,6 @@ from gateway.platforms.telegram_network import (
discover_fallback_ips,
parse_fallback_ip_env,
)
from utils import atomic_replace
def check_telegram_requirements() -> bool:
@@ -123,12 +122,12 @@ def _strip_mdv2(text: str) -> str:
# ---------------------------------------------------------------------------
# Markdown table → Telegram-friendly row groups
# Markdown table → code block conversion
# ---------------------------------------------------------------------------
# Telegram's MarkdownV2 has no table syntax — '|' is just an escaped literal,
# so pipe tables render as noisy backslash-pipe text with no alignment.
# Reformating each row into a bold heading plus bullet list keeps the content
# readable on mobile clients while preserving the source data.
# Wrapping the table in a fenced code block makes Telegram render it as
# monospace preformatted text with columns intact.
# Matches a GFM table delimiter row: optional outer pipes, cells containing
# only dashes (with optional leading/trailing colons for alignment) separated
@@ -145,49 +144,13 @@ def _is_table_row(line: str) -> bool:
return bool(stripped) and '|' in stripped
def _split_markdown_table_row(line: str) -> list[str]:
"""Split a simple GFM table row into stripped cell values."""
stripped = line.strip()
if stripped.startswith("|"):
stripped = stripped[1:]
if stripped.endswith("|"):
stripped = stripped[:-1]
return [cell.strip() for cell in stripped.split("|")]
def _render_table_block_for_telegram(table_block: list[str]) -> str:
"""Render a detected GFM table as Telegram-friendly row groups."""
if len(table_block) < 3:
return "\n".join(table_block)
headers = _split_markdown_table_row(table_block[0])
if len(headers) < 2:
return "\n".join(table_block)
rendered_rows: list[str] = []
for index, row in enumerate(table_block[2:], start=1):
cells = _split_markdown_table_row(row)
if len(cells) < len(headers):
cells.extend([""] * (len(headers) - len(cells)))
elif len(cells) > len(headers):
cells = cells[: len(headers)]
heading = next((cell for cell in cells if cell), f"Row {index}")
rendered_rows.append(f"**{heading}**")
rendered_rows.extend(
f"{header}: {value}" for header, value in zip(headers, cells)
)
return "\n\n".join(rendered_rows)
def _wrap_markdown_tables(text: str) -> str:
"""Rewrite GFM-style pipe tables into Telegram-friendly bullet groups.
"""Wrap GFM-style pipe tables in ``` fences so Telegram renders them.
Detected by a row containing '|' immediately followed by a delimiter
row matching :data:`_TABLE_SEPARATOR_RE`. Subsequent pipe-containing
non-blank lines are consumed as the table body and rewritten as
per-row bullet groups. Tables inside existing fenced code blocks are left
non-blank lines are consumed as the table body and included in the
wrapped block. Tables inside existing fenced code blocks are left
alone.
"""
if '|' not in text or '-' not in text:
@@ -224,7 +187,9 @@ def _wrap_markdown_tables(text: str) -> str:
while j < len(lines) and _is_table_row(lines[j]):
table_block.append(lines[j])
j += 1
out.append(_render_table_block_for_telegram(table_block))
out.append('```')
out.extend(table_block)
out.append('```')
i = j
continue
@@ -369,49 +334,6 @@ class TelegramAdapter(BasePlatformAdapter):
return {"link_preview_options": LinkPreviewOptions(is_disabled=True)}
return {"disable_web_page_preview": True}
async def _drain_polling_connections(self) -> None:
"""Reset the httpx connection pool used for getUpdates polling.
Network errors (especially through proxies like sing-box) can leave
httpx connections in a half-closed state that still occupy pool slots.
After enough reconnect cycles the pool fills up entirely, causing
``Pool timeout: All connections in the connection pool are occupied.``
We reset ONLY ``_request[0]`` (the getUpdates request) the general
request (``_request[1]``) is left untouched so concurrent
``send_message`` / ``edit_message`` calls are never interrupted.
Implementation note: accesses ``Bot._request[0]`` which is the
get-updates ``BaseRequest`` in the PTB 22.x internal tuple
``(get_updates_request, general_request)``. There is no public
accessor for the polling request; review if upgrading to PTB 23+.
"""
if not (self._app and self._app.bot):
return
try:
# PTB 22.x: _request is a (get_updates, general) tuple;
# no public accessor exists for the polling request.
polling_req = self._app.bot._request[0] # noqa: SLF001
except Exception:
return
try:
await polling_req.shutdown()
except Exception:
logger.debug(
"[%s] Polling request shutdown failed (non-fatal)",
self.name, exc_info=True,
)
try:
await polling_req.initialize()
logger.debug(
"[%s] Polling request pool drained before reconnect", self.name
)
except Exception:
logger.debug(
"[%s] Polling request re-initialize failed (non-fatal)",
self.name, exc_info=True,
)
async def _handle_polling_network_error(self, error: Exception) -> None:
"""Reconnect polling after a transient network interruption.
@@ -457,8 +379,6 @@ class TelegramAdapter(BasePlatformAdapter):
except Exception:
pass
await self._drain_polling_connections()
try:
await self._app.updater.start_polling(
allowed_updates=Update.ALL_TYPES,
@@ -506,7 +426,6 @@ class TelegramAdapter(BasePlatformAdapter):
except Exception:
pass
await asyncio.sleep(RETRY_DELAY)
await self._drain_polling_connections()
try:
await self._app.updater.start_polling(
allowed_updates=Update.ALL_TYPES,
@@ -635,7 +554,7 @@ class TelegramAdapter(BasePlatformAdapter):
_yaml.dump(config, f, default_flow_style=False, sort_keys=False)
f.flush()
os.fsync(f.fileno())
atomic_replace(tmp_path, config_path)
os.replace(tmp_path, config_path)
except BaseException:
try:
os.unlink(tmp_path)
@@ -1290,31 +1209,6 @@ 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 = "",
@@ -2161,8 +2055,10 @@ class TelegramAdapter(BasePlatformAdapter):
text = content
# 0) Rewrite GFM-style pipe tables into Telegram-friendly row groups
# before the normal MarkdownV2 conversions run.
# 0) Pre-wrap GFM-style pipe tables in ``` fences. Telegram can't
# render tables natively, but fenced code blocks render as
# monospace preformatted text with columns intact. The wrapped
# tables then flow through step (1) below as protected regions.
text = _wrap_markdown_tables(text)
# 1) Protect fenced code blocks (``` ... ```)
@@ -2432,26 +2328,6 @@ class TelegramAdapter(BasePlatformAdapter):
user = getattr(entity, "user", None)
if user and getattr(user, "id", None) == bot_id:
return True
elif entity_type == "bot_command" and expected:
# Telegram's official group-disambiguation form for slash
# commands (``/cmd@botname``) is emitted as a single
# ``bot_command`` entity covering the whole span — there
# is no accompanying ``mention`` entity. Treat it as a
# direct address to this bot when the ``@botname`` suffix
# matches. This is the form Telegram's own command menu
# autocomplete produces in groups, so dropping it at the
# mention gate would break /new, /reset, /help, ... for
# every group that has ``require_mention`` enabled (#15415).
offset = int(getattr(entity, "offset", -1))
length = int(getattr(entity, "length", 0))
if offset < 0 or length <= 0:
continue
command_text = source_text[offset:offset + length]
at_index = command_text.find("@")
if at_index < 0:
continue
if command_text[at_index:].strip().lower() == expected:
return True
return False
def _message_matches_mention_patterns(self, message: Message) -> bool:
+3 -26
View File
@@ -89,7 +89,6 @@ MAX_CONSECUTIVE_FAILURES = 3
RETRY_DELAY_SECONDS = 2
BACKOFF_DELAY_SECONDS = 30
SESSION_EXPIRED_ERRCODE = -14
RATE_LIMIT_ERRCODE = -2 # iLink frequency limit — backoff and retry
MESSAGE_DEDUP_TTL_SECONDS = 300
MEDIA_IMAGE = 1
@@ -1114,7 +1113,7 @@ async def qr_login(
class WeixinAdapter(BasePlatformAdapter):
"""Native Hermes adapter for Weixin personal accounts."""
MAX_MESSAGE_LENGTH = 2000
MAX_MESSAGE_LENGTH = 4000
# WeChat does not support editing sent messages — streaming must use the
# fallback "send-final-only" path so the cursor (▉) is never left visible.
@@ -1139,10 +1138,10 @@ class WeixinAdapter(BasePlatformAdapter):
extra.get("cdn_base_url") or os.getenv("WEIXIN_CDN_BASE_URL", WEIXIN_CDN_BASE_URL)
).strip().rstrip("/")
self._send_chunk_delay_seconds = float(
extra.get("send_chunk_delay_seconds") or os.getenv("WEIXIN_SEND_CHUNK_DELAY_SECONDS", "1.5")
extra.get("send_chunk_delay_seconds") or os.getenv("WEIXIN_SEND_CHUNK_DELAY_SECONDS", "0.35")
)
self._send_chunk_retries = int(
extra.get("send_chunk_retries") or os.getenv("WEIXIN_SEND_CHUNK_RETRIES", "4")
extra.get("send_chunk_retries") or os.getenv("WEIXIN_SEND_CHUNK_RETRIES", "2")
)
self._send_chunk_retry_delay_seconds = float(
extra.get("send_chunk_retry_delay_seconds")
@@ -1532,28 +1531,6 @@ class WeixinAdapter(BasePlatformAdapter):
self.name, _safe_id(chat_id),
)
continue
# Rate limit (-2) — backoff and retry
is_rate_limited = (
ret == RATE_LIMIT_ERRCODE
or errcode == RATE_LIMIT_ERRCODE
)
if is_rate_limited:
errmsg = resp.get("errmsg") or resp.get("msg") or "rate limited"
# Record the error so we raise a descriptive
# RuntimeError (instead of AssertionError) if the
# loop exhausts with the server still rate-limiting.
last_error = RuntimeError(
f"iLink sendmessage rate limited: ret={ret} errcode={errcode} errmsg={errmsg}"
)
if attempt >= self._send_chunk_retries:
break
wait = self._send_chunk_retry_delay_seconds * 3 # 3x backoff for rate limit
logger.warning(
"[%s] rate limited for %s; backing off %.1fs before retry",
self.name, _safe_id(chat_id), wait,
)
await asyncio.sleep(wait)
continue
errmsg = resp.get("errmsg") or resp.get("msg") or "unknown error"
raise RuntimeError(
f"iLink sendmessage error: ret={ret} errcode={errcode} errmsg={errmsg}"
File diff suppressed because it is too large Load Diff
-645
View File
@@ -1,645 +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 media.tsyuanbao-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
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 secrets
import struct
import time
import urllib.parse
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} 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 "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 dictkey 需小写
secret_id: 临时 SecretIdtmpSecretId
secret_key: 临时 SecretKeytmpSecretKey
start_time: 签名起始 Unix 时间戳默认 now
expire_seconds: 签名有效期默认 3600
Returns:
Authorization header 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
api_domain: API 域名 https://bot.yuanbao.tencent.com
token: 当前有效的签票 tokenX-Token
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
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 MIMEUUID
content_type: MIME 类型 "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 chatbot-1234567890
region: COS 地域 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 URLCOS resourceUrl
uuid: 文件 UUIDMD5 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 URLCOS resourceUrl
filename: 文件名含扩展名
uuid: 文件 UUIDMD5 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 ""
File diff suppressed because it is too large Load Diff
-558
View File
@@ -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",
},
"": {
"sticker_id": "131", "package_id": "1003", "name": "",
"description": "帅 墨镜 cool 高冷 有型 swagger",
"width": 128, "height": 128, "formats": "png",
},
"": {
"sticker_id": "145", "package_id": "1003", "name": "",
"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",
},
"": {
"sticker_id": "256", "package_id": "1003", "name": "",
"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",
},
"": {
"sticker_id": "185", "package_id": "1003", "name": "",
"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",
},
"": {
"sticker_id": "180", "package_id": "1003", "name": "",
"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",
},
"": {
"sticker_id": "231", "package_id": "1003", "name": "",
"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",
},
"": {
"sticker_id": "134", "package_id": "1003", "name": "",
"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 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 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 query 时按字典顺序返回前 N
"""
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 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 formatYuanbao 固定 index=0
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 None 时仅传 index
Returns:
符合 Yuanbao TIM 协议的 msg_body list::
[{"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:
"""
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)
+106 -989
View File
File diff suppressed because it is too large Load Diff
-150
View File
@@ -1,150 +0,0 @@
"""Gateway runtime-metadata footer.
Renders a compact footer showing runtime state (model, context %, cwd) and
appends it to the FINAL message of an agent turn when enabled. Off by default
to keep replies minimal.
Config (``~/.hermes/config.yaml``)::
display:
runtime_footer:
enabled: true # off by default
fields: [model, context_pct, cwd] # order shown; drop any to hide
Per-platform overrides live under ``display.platforms.<platform>.runtime_footer``.
Users can toggle the global setting with ``/footer on|off`` from both the CLI
and any gateway platform.
The footer is appended to the final response text in ``gateway/run.py`` right
before returning the response to the adapter send path so it only lands on
the final message a user sees, not on tool-progress updates or streaming
partials. When streaming is on and the final text has already been delivered
piecemeal, the footer is sent as a separate trailing message via
``send_trailing_footer()``.
"""
from __future__ import annotations
import os
from pathlib import Path
from typing import Any, Iterable, Optional
_DEFAULT_FIELDS: tuple[str, ...] = ("model", "context_pct", "cwd")
_SEP = " · "
def _home_relative_cwd(cwd: str) -> str:
"""Return *cwd* with ``$HOME`` collapsed to ``~``. Empty string if unset."""
if not cwd:
return ""
try:
home = os.path.expanduser("~")
p = os.path.abspath(cwd)
if home and (p == home or p.startswith(home + os.sep)):
return "~" + p[len(home):]
return p
except Exception:
return cwd
def _model_short(model: Optional[str]) -> str:
"""Drop ``vendor/`` prefix for readability (``openai/gpt-5.4`` → ``gpt-5.4``)."""
if not model:
return ""
return model.rsplit("/", 1)[-1]
def resolve_footer_config(
user_config: dict[str, Any] | None,
platform_key: str | None = None,
) -> dict[str, Any]:
"""Resolve effective runtime-footer config for *platform_key*.
Merge order (later wins):
1. Built-in defaults (enabled=False)
2. ``display.runtime_footer``
3. ``display.platforms.<platform_key>.runtime_footer``
"""
resolved = {"enabled": False, "fields": list(_DEFAULT_FIELDS)}
cfg = (user_config or {}).get("display") or {}
global_cfg = cfg.get("runtime_footer")
if isinstance(global_cfg, dict):
if "enabled" in global_cfg:
resolved["enabled"] = bool(global_cfg.get("enabled"))
if isinstance(global_cfg.get("fields"), list) and global_cfg["fields"]:
resolved["fields"] = [str(f) for f in global_cfg["fields"]]
if platform_key:
platforms = cfg.get("platforms") or {}
plat_cfg = platforms.get(platform_key)
if isinstance(plat_cfg, dict):
plat_footer = plat_cfg.get("runtime_footer")
if isinstance(plat_footer, dict):
if "enabled" in plat_footer:
resolved["enabled"] = bool(plat_footer.get("enabled"))
if isinstance(plat_footer.get("fields"), list) and plat_footer["fields"]:
resolved["fields"] = [str(f) for f in plat_footer["fields"]]
return resolved
def format_runtime_footer(
*,
model: Optional[str],
context_tokens: int,
context_length: Optional[int],
cwd: Optional[str] = None,
fields: Iterable[str] = _DEFAULT_FIELDS,
) -> str:
"""Render the footer line, or return "" if no fields have data.
Fields are skipped silently when their underlying data is missing a
partially-populated footer is better than a line with ``?%`` or empty slots.
"""
parts: list[str] = []
for field in fields:
if field == "model":
m = _model_short(model)
if m:
parts.append(m)
elif field == "context_pct":
if context_length and context_length > 0 and context_tokens >= 0:
pct = max(0, min(100, round((context_tokens / context_length) * 100)))
parts.append(f"{pct}%")
elif field == "cwd":
rel = _home_relative_cwd(cwd or os.environ.get("TERMINAL_CWD", ""))
if rel:
parts.append(rel)
# Unknown field names are silently ignored.
if not parts:
return ""
return _SEP.join(parts)
def build_footer_line(
*,
user_config: dict[str, Any] | None,
platform_key: str | None,
model: Optional[str],
context_tokens: int,
context_length: Optional[int],
cwd: Optional[str] = None,
) -> str:
"""Top-level entry point used by gateway/run.py.
Returns the footer text (empty string when disabled or no data). Callers
append this to the final response themselves, preserving a single blank
line of separation.
"""
cfg = resolve_footer_config(user_config, platform_key)
if not cfg.get("enabled"):
return ""
return format_runtime_footer(
model=model,
context_tokens=context_tokens,
context_length=context_length,
cwd=cwd,
fields=cfg.get("fields") or _DEFAULT_FIELDS,
)
+21 -16
View File
@@ -62,8 +62,8 @@ from .config import (
)
from .whatsapp_identity import (
canonical_whatsapp_identifier,
normalize_whatsapp_identifier,
)
from utils import atomic_replace
@dataclass
@@ -310,9 +310,8 @@ 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
@@ -354,14 +353,6 @@ def build_session_context_prompt(
"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."
)
# Connected platforms
platforms_list = ["local (files on this machine)"]
@@ -705,7 +696,7 @@ class SessionStore:
json.dump(data, f, indent=2)
f.flush()
os.fsync(f.fileno())
atomic_replace(tmp_path, sessions_file)
os.replace(tmp_path, sessions_file)
except BaseException:
try:
os.unlink(tmp_path)
@@ -1257,11 +1248,25 @@ class SessionStore:
Used by /retry, /undo, and /compress to persist modified conversation history.
Rewrites both SQLite and legacy JSONL storage.
"""
# SQLite: replace atomically so a mid-rewrite failure doesn't leave
# the session half-empty in the DB while JSONL still has history.
# SQLite: clear old messages and re-insert
if self._db:
try:
self._db.replace_messages(session_id, messages)
self._db.clear_messages(session_id)
for msg in messages:
role = msg.get("role", "unknown")
self._db.append_message(
session_id=session_id,
role=role,
content=msg.get("content"),
tool_name=msg.get("tool_name"),
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)
-110
View File
@@ -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
+1 -21
View File
@@ -31,17 +31,8 @@ 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
@@ -90,16 +81,6 @@ def expand_whatsapp_aliases(identifier: str) -> Set[str]:
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"):
@@ -110,8 +91,7 @@ def expand_whatsapp_aliases(identifier: str) -> Set[str]:
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)
except Exception:
continue
if mapped and mapped not in resolved:
queue.append(mapped)
+5 -65
View File
@@ -43,7 +43,6 @@ import yaml
from hermes_cli.config import get_hermes_home, get_config_path, read_raw_config
from hermes_constants import OPENROUTER_BASE_URL
from utils import atomic_replace
logger = logging.getLogger(__name__)
@@ -110,12 +109,6 @@ SERVICE_PROVIDER_NAMES: Dict[str, str] = {
DEFAULT_GEMINI_CLOUDCODE_BASE_URL = "cloudcode-pa://google"
GEMINI_OAUTH_ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 60 # refresh 60s before expiry
# LM Studio's default no-auth mode still requires *some* non-empty bearer for
# the API-key code paths (auxiliary_client, runtime resolver) to treat the
# provider as configured. This sentinel is sent only to LM Studio, never to
# any remote service.
LMSTUDIO_NOAUTH_PLACEHOLDER = "dummy-lm-api-key"
# =============================================================================
# Provider Registry
@@ -166,14 +159,6 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
auth_type="oauth_external",
inference_base_url=DEFAULT_GEMINI_CLOUDCODE_BASE_URL,
),
"lmstudio": ProviderConfig(
id="lmstudio",
name="LM Studio",
auth_type="api_key",
inference_base_url="http://127.0.0.1:1234/v1",
api_key_env_vars=("LM_API_KEY",),
base_url_env_var="LM_BASE_URL",
),
"copilot": ProviderConfig(
id="copilot",
name="GitHub Copilot",
@@ -239,14 +224,6 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
api_key_env_vars=("ARCEEAI_API_KEY",),
base_url_env_var="ARCEE_BASE_URL",
),
"gmi": ProviderConfig(
id="gmi",
name="GMI Cloud",
auth_type="api_key",
inference_base_url="https://api.gmi-serving.com/v1",
api_key_env_vars=("GMI_API_KEY",),
base_url_env_var="GMI_BASE_URL",
),
"minimax": ProviderConfig(
id="minimax",
name="MiniMax",
@@ -363,14 +340,6 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
api_key_env_vars=("XIAOMI_API_KEY",),
base_url_env_var="XIAOMI_BASE_URL",
),
"tencent-tokenhub": ProviderConfig(
id="tencent-tokenhub",
name="Tencent TokenHub",
auth_type="api_key",
inference_base_url="https://tokenhub.tencentmaas.com/v1",
api_key_env_vars=("TOKENHUB_API_KEY",),
base_url_env_var="TOKENHUB_BASE_URL",
),
"ollama-cloud": ProviderConfig(
id="ollama-cloud",
name="Ollama Cloud",
@@ -498,27 +467,11 @@ def _resolve_api_key_provider_secret(
pass
return "", ""
from hermes_cli.config import get_env_value
for env_var in pconfig.api_key_env_vars:
# Check both os.environ and ~/.hermes/.env file
val = (get_env_value(env_var) or "").strip()
val = os.getenv(env_var, "").strip()
if has_usable_secret(val):
return val, env_var
# Fallback: try credential pool (e.g. zai key stored via auth.json)
try:
from agent.credential_pool import load_pool
pool = load_pool(provider_id)
if pool and pool.has_credentials():
entry = pool.peek()
if entry:
key = getattr(entry, "access_token", "") or getattr(entry, "runtime_api_key", "")
key = str(key).strip()
if has_usable_secret(key):
return key, f"credential_pool:{provider_id}"
except Exception:
pass
return "", ""
@@ -843,7 +796,7 @@ def _save_auth_store(auth_store: Dict[str, Any]) -> Path:
handle.write(payload)
handle.flush()
os.fsync(handle.fileno())
atomic_replace(tmp_path, auth_file)
os.replace(tmp_path, auth_file)
try:
dir_fd = os.open(str(auth_file.parent), os.O_RDONLY)
except OSError:
@@ -1151,7 +1104,6 @@ def resolve_provider(
"kimi-cn": "kimi-coding-cn", "moonshot-cn": "kimi-coding-cn",
"step": "stepfun", "stepfun-coding-plan": "stepfun",
"arcee-ai": "arcee", "arceeai": "arcee",
"gmi-cloud": "gmi", "gmicloud": "gmi",
"minimax-china": "minimax-cn", "minimax_cn": "minimax-cn",
"alibaba_coding": "alibaba-coding-plan", "alibaba-coding": "alibaba-coding-plan",
"alibaba_coding_plan": "alibaba-coding-plan",
@@ -1164,13 +1116,11 @@ def resolve_provider(
"qwen-portal": "qwen-oauth", "qwen-cli": "qwen-oauth", "qwen-oauth": "qwen-oauth", "google-gemini-cli": "google-gemini-cli", "gemini-cli": "google-gemini-cli", "gemini-oauth": "google-gemini-cli",
"hf": "huggingface", "hugging-face": "huggingface", "huggingface-hub": "huggingface",
"mimo": "xiaomi", "xiaomi-mimo": "xiaomi",
"tencent": "tencent-tokenhub", "tokenhub": "tencent-tokenhub",
"tencent-cloud": "tencent-tokenhub", "tencentmaas": "tencent-tokenhub",
"aws": "bedrock", "aws-bedrock": "bedrock", "amazon-bedrock": "bedrock", "amazon": "bedrock",
"go": "opencode-go", "opencode-go-sub": "opencode-go",
"kilo": "kilocode", "kilo-code": "kilocode", "kilo-gateway": "kilocode",
"lmstudio": "lmstudio", "lm-studio": "lmstudio", "lm_studio": "lmstudio",
# Local server aliases — route through the generic custom provider
"lmstudio": "custom", "lm-studio": "custom", "lm_studio": "custom",
"ollama": "custom", "ollama_cloud": "ollama-cloud",
"vllm": "custom", "llamacpp": "custom",
"llama.cpp": "custom", "llama-cpp": "custom",
@@ -1217,11 +1167,8 @@ def resolve_provider(
continue
# GitHub tokens are commonly present for repo/tool access but should not
# hijack inference auto-selection unless the user explicitly chooses
# Copilot/GitHub Models as the provider. LM Studio is a local server
# whose availability isn't implied by LM_API_KEY presence (it may be
# offline, and the no-auth setup uses a placeholder value), so it
# also requires explicit selection.
if pid in ("copilot", "lmstudio"):
# Copilot/GitHub Models as the provider.
if pid == "copilot":
continue
for env_var in pconfig.api_key_env_vars:
if has_usable_secret(os.getenv(env_var, "")):
@@ -3499,13 +3446,6 @@ def resolve_api_key_provider_credentials(provider_id: str) -> Dict[str, Any]:
key_source = ""
api_key, key_source = _resolve_api_key_provider_secret(provider_id, pconfig)
# No-auth LM Studio: substitute a placeholder so runtime / auxiliary_client
# see the local server as configured. doctor still reports unconfigured
# because get_api_key_provider_status uses the raw secret resolver.
if not api_key and provider_id == "lmstudio":
api_key = LMSTUDIO_NOAUTH_PLACEHOLDER
key_source = key_source or "default"
env_url = ""
if pconfig.base_url_env_var:
env_url = os.getenv(pconfig.base_url_env_var, "").strip()
+1 -1
View File
@@ -34,7 +34,7 @@ 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
from urllib.parse import urlparse, urlunparse
logger = logging.getLogger(__name__)
+1 -272
View File
@@ -36,23 +36,12 @@ _EXCLUDED_DIRS = {
"__pycache__", # bytecode caches — regenerated on import
".git", # nested git dirs (profiles shouldn't have these, but safety)
"node_modules", # js deps if website/ somehow leaks in
"backups", # prior auto-backups — don't nest backups exponentially
"checkpoints", # session-local trajectory caches — regenerated per-session,
# session-hash-keyed so they don't port to another machine anyway
}
# File-name suffixes to skip
_EXCLUDED_SUFFIXES = (
".pyc",
".pyo",
# SQLite sidecar files — the backup takes a consistent snapshot of ``*.db``
# via ``sqlite3.backup()``, so shipping the live WAL / shared-memory /
# rollback-journal alongside would pair a fresh snapshot with stale sidecar
# state and produce a torn restore on the next open. They're transient and
# regenerated on first connection anyway.
".db-wal",
".db-shm",
".db-journal",
)
# File names to skip (runtime state that's meaningless on another machine)
@@ -465,12 +454,6 @@ def run_import(args) -> None:
# Critical state files to include in quick snapshots (relative to HERMES_HOME).
# Everything else is either regeneratable (logs, cache) or managed separately
# (skills, repo, sessions/).
#
# Entries may be individual files OR directories. Directories are captured
# recursively; missing entries are silently skipped. Pairing data lives in
# platform-specific JSON blobs outside state.db, so it's listed here explicitly
# — `hermes update` snapshots this set before pulling so approved-user lists
# are recoverable if anything goes wrong (issue #15733).
_QUICK_STATE_FILES = (
"state.db",
"config.yaml",
@@ -480,10 +463,6 @@ _QUICK_STATE_FILES = (
"gateway_state.json",
"channel_directory.json",
"processes.json",
# Pairing stores (generic + per-platform JSONs outside state.db)
"pairing", # legacy location (gateway/pairing.py)
"platforms/pairing", # new location (gateway/pairing.py)
"feishu_comment_pairing.json", # Feishu comment subscription pairings
)
_QUICK_SNAPSHOTS_DIR = "state-snapshots"
@@ -519,27 +498,7 @@ def create_quick_snapshot(
for rel in _QUICK_STATE_FILES:
src = home / rel
if not src.exists():
continue
if src.is_dir():
# Walk the directory and record each file individually in the
# manifest so restore can treat them uniformly. Empty dirs are
# skipped (nothing to snapshot).
for sub in src.rglob("*"):
if not sub.is_file():
continue
sub_rel = sub.relative_to(home).as_posix()
dst = snap_dir / sub_rel
dst.parent.mkdir(parents=True, exist_ok=True)
try:
shutil.copy2(sub, dst)
manifest[sub_rel] = dst.stat().st_size
except (OSError, PermissionError) as exc:
logger.warning("Could not snapshot %s: %s", sub_rel, exc)
continue
if not src.is_file():
if not src.exists() or not src.is_file():
continue
dst = snap_dir / rel
@@ -694,233 +653,3 @@ def run_quick_backup(args) -> None:
print(f" Restore with: /snapshot restore {snap_id}")
else:
print("No state files found to snapshot.")
# ---------------------------------------------------------------------------
# Shared full-zip backup helper
# ---------------------------------------------------------------------------
def _write_full_zip_backup(out_path: Path, hermes_root: Path) -> Optional[Path]:
"""Write a full zip snapshot of ``hermes_root`` to ``out_path``.
Uses the same exclusion rules and SQLite safe-copy as :func:`run_backup`.
Returns the output path on success, None on failure (nothing to back up,
or write error caller should surface the outcome but not raise).
"""
files_to_add: list[tuple[Path, Path]] = []
try:
for dirpath, dirnames, filenames in os.walk(hermes_root, followlinks=False):
dp = Path(dirpath)
# Prune excluded directories in-place so os.walk doesn't descend
dirnames[:] = [d for d in dirnames if d not in _EXCLUDED_DIRS]
for fname in filenames:
fpath = dp / fname
try:
rel = fpath.relative_to(hermes_root)
except ValueError:
continue
if _should_exclude(rel):
continue
# Skip the output zip itself if it already exists inside root.
try:
if fpath.resolve() == out_path.resolve():
continue
except (OSError, ValueError):
pass
files_to_add.append((fpath, rel))
except OSError as exc:
logger.warning("Full-zip backup: walk failed: %s", exc)
return None
if not files_to_add:
return None
try:
with zipfile.ZipFile(out_path, "w", zipfile.ZIP_DEFLATED, compresslevel=6) as zf:
for abs_path, rel_path in files_to_add:
try:
if abs_path.suffix == ".db":
with tempfile.NamedTemporaryFile(suffix=".db", delete=False) as tmp:
tmp_db = Path(tmp.name)
try:
if _safe_copy_db(abs_path, tmp_db):
zf.write(tmp_db, arcname=str(rel_path))
finally:
tmp_db.unlink(missing_ok=True)
else:
zf.write(abs_path, arcname=str(rel_path))
except (PermissionError, OSError, ValueError) as exc:
logger.debug("Skipping %s in zip backup: %s", rel_path, exc)
continue
except OSError as exc:
logger.warning("Full-zip backup: zip write failed: %s", exc)
# Best-effort cleanup of partial file
try:
out_path.unlink(missing_ok=True)
except OSError:
pass
return None
return out_path
# ---------------------------------------------------------------------------
# Pre-update auto-backup
# ---------------------------------------------------------------------------
_PRE_UPDATE_BACKUPS_DIR = "backups"
_PRE_UPDATE_PREFIX = "pre-update-"
_PRE_UPDATE_DEFAULT_KEEP = 5
def _pre_update_backup_dir(hermes_home: Optional[Path] = None) -> Path:
home = hermes_home or get_hermes_home()
return home / _PRE_UPDATE_BACKUPS_DIR
def _prune_pre_update_backups(backup_dir: Path, keep: int) -> int:
"""Remove oldest pre-update backups beyond the keep limit.
Returns the number of files deleted. Only touches files matching
``pre-update-*.zip`` so hand-made zips dropped in the same directory
are never touched.
"""
if keep < 0:
keep = 0
if not backup_dir.exists():
return 0
backups = sorted(
(p for p in backup_dir.iterdir()
if p.is_file() and p.name.startswith(_PRE_UPDATE_PREFIX) and p.suffix.lower() == ".zip"),
key=lambda p: p.name,
reverse=True,
)
deleted = 0
for p in backups[keep:]:
try:
p.unlink()
deleted += 1
except OSError as exc:
logger.warning("Failed to prune backup %s: %s", p.name, exc)
return deleted
def create_pre_update_backup(
hermes_home: Optional[Path] = None,
keep: int = _PRE_UPDATE_DEFAULT_KEEP,
) -> Optional[Path]:
"""Create a full zip backup of HERMES_HOME under ``backups/``.
Mirrors :func:`run_backup` (same exclusion rules, same SQLite safe-copy)
but writes to ``<HERMES_HOME>/backups/pre-update-<timestamp>.zip`` and
auto-prunes old pre-update backups.
Returns the path to the created zip, or ``None`` if no files were
found or the backup could not be created. Never raises the caller
(``hermes update``) should continue even if the backup fails.
"""
hermes_root = hermes_home or get_default_hermes_root()
if not hermes_root.is_dir():
return None
backup_dir = _pre_update_backup_dir(hermes_root)
try:
backup_dir.mkdir(parents=True, exist_ok=True)
except OSError as exc:
logger.warning("Could not create pre-update backup dir %s: %s", backup_dir, exc)
return None
stamp = datetime.now().strftime("%Y-%m-%d-%H%M%S")
out_path = backup_dir / f"{_PRE_UPDATE_PREFIX}{stamp}.zip"
result = _write_full_zip_backup(out_path, hermes_root)
if result is None:
return None
_prune_pre_update_backups(backup_dir, keep=keep)
return out_path
# ---------------------------------------------------------------------------
# Pre-migration auto-backup (used by `hermes claw migrate`)
# ---------------------------------------------------------------------------
_PRE_MIGRATION_PREFIX = "pre-migration-"
_PRE_MIGRATION_DEFAULT_KEEP = 5
def _prune_pre_migration_backups(backup_dir: Path, keep: int) -> int:
"""Remove oldest pre-migration backups beyond the keep limit.
Only touches files matching ``pre-migration-*.zip`` so other backups in
the same directory are never touched.
"""
if keep < 0:
keep = 0
if not backup_dir.exists():
return 0
backups = sorted(
(p for p in backup_dir.iterdir()
if p.is_file() and p.name.startswith(_PRE_MIGRATION_PREFIX) and p.suffix.lower() == ".zip"),
key=lambda p: p.name,
reverse=True,
)
deleted = 0
for p in backups[keep:]:
try:
p.unlink()
deleted += 1
except OSError as exc:
logger.warning("Failed to prune pre-migration backup %s: %s", p.name, exc)
return deleted
def create_pre_migration_backup(
hermes_home: Optional[Path] = None,
keep: int = _PRE_MIGRATION_DEFAULT_KEEP,
) -> Optional[Path]:
"""Create a full zip backup of HERMES_HOME under ``backups/`` before a
``hermes claw migrate`` apply.
Shares implementation with :func:`create_pre_update_backup` via
``_write_full_zip_backup`` same exclusions, same SQLite safe-copy,
restorable with ``hermes import <archive>``. Writes to
``<HERMES_HOME>/backups/pre-migration-<timestamp>.zip`` and auto-prunes
old pre-migration backups.
Returns the path to the created zip, or ``None`` if nothing was found
to back up (fresh install) or the write failed. Never raises the
caller decides whether to abort or proceed.
"""
hermes_root = hermes_home or get_default_hermes_root()
if not hermes_root.is_dir():
return None
# Reuses the shared backups/ directory so `hermes import` and the
# update-backup listing pick up pre-migration archives too.
backup_dir = _pre_update_backup_dir(hermes_root)
try:
backup_dir.mkdir(parents=True, exist_ok=True)
except OSError as exc:
logger.warning("Could not create pre-migration backup dir %s: %s", backup_dir, exc)
return None
stamp = datetime.now().strftime("%Y-%m-%d-%H%M%S")
out_path = backup_dir / f"{_PRE_MIGRATION_PREFIX}{stamp}.zip"
result = _write_full_zip_backup(out_path, hermes_root)
if result is None:
return None
_prune_pre_migration_backups(backup_dir, keep=keep)
return out_path
+1
View File
@@ -562,6 +562,7 @@ def build_welcome_banner(console: Console, model: str, cwd: str,
right_content = "\n".join(right_lines)
layout_table.add_row(left_content, right_content)
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()
+6 -67
View File
@@ -4,8 +4,7 @@ Usage:
hermes claw migrate # Preview then migrate (always shows preview first)
hermes claw migrate --dry-run # Preview only, no changes
hermes claw migrate --yes # Skip confirmation prompt
hermes claw migrate --preset full --overwrite --migrate-secrets # Full run w/ secrets
hermes claw migrate --no-backup # Skip pre-migration snapshot
hermes claw migrate --preset full --overwrite # Full migration, overwrite conflicts
hermes claw cleanup # Archive leftover OpenClaw directories
hermes claw cleanup --dry-run # Preview what would be archived
"""
@@ -16,7 +15,6 @@ import subprocess
import sys
from datetime import datetime
from pathlib import Path
from typing import Optional
from hermes_cli.config import get_hermes_home, get_config_path, load_config, save_config
from hermes_constants import get_optional_skills_dir
@@ -323,13 +321,10 @@ def _cmd_migrate(args):
migrate_secrets = getattr(args, "migrate_secrets", False)
workspace_target = getattr(args, "workspace_target", None)
skill_conflict = getattr(args, "skill_conflict", "skip")
no_backup = getattr(args, "no_backup", False)
# Secrets are never included implicitly — they must be explicitly requested
# via --migrate-secrets, even under --preset full. This mirrors OpenClaw's
# migrate-hermes posture (two-phase: run once without secrets, rerun with
# --include-secrets) and prevents a --preset full invocation from silently
# importing API keys that the user may not have intended to copy.
# If using the "full" preset, secrets are included by default
if preset == "full":
migrate_secrets = True
print()
print(
@@ -436,24 +431,15 @@ def _cmd_migrate(args):
preview_summary = preview_report.get("summary", {})
preview_count = preview_summary.get("migrated", 0)
preview_conflicts = preview_summary.get("conflict", 0)
# "Nothing to migrate" means nothing migrated AND nothing blocked by
# conflicts. If there are conflicts, we still want to show the plan and
# surface the refusal/--overwrite guidance instead of silently bailing.
if preview_count == 0 and preview_conflicts == 0:
if preview_count == 0:
print()
print_info("Nothing to migrate from OpenClaw.")
_print_migration_report(preview_report, dry_run=True)
return
print()
if preview_count > 0:
print_header(f"Migration Preview — {preview_count} item(s) would be imported")
else:
print_header(
f"Migration Preview — {preview_conflicts} conflict(s), nothing would be imported"
)
print_header(f"Migration Preview — {preview_count} item(s) would be imported")
print_info("No changes have been made yet. Review the list below:")
_print_migration_report(preview_report, dry_run=True)
@@ -461,24 +447,6 @@ def _cmd_migrate(args):
if dry_run:
return
# ── Phase 1b: Refuse if the plan has conflicts and --overwrite is not set ─
# Modelled on OpenClaw's assertConflictFreePlan() — apply is a safe no-op
# on conflicts unless the user explicitly opts in to overwriting. Without
# this guard, the user would answer "yes, proceed" and silently end up
# with a migration that skipped every conflicting item.
if preview_conflicts > 0 and not overwrite:
print()
print_error(
f"Plan has {preview_conflicts} conflict(s). Refusing to apply."
)
print_info(
"Each conflict is an item whose target already exists in ~/.hermes/. "
"Re-run with --overwrite to replace conflicting targets (item-level "
"backups are written to the migration report directory)."
)
print_info("Or re-run with --dry-run to review the full plan.")
return
# ── Phase 2: Confirm and execute ───────────────────────────
print()
if not auto_yes:
@@ -490,32 +458,6 @@ def _cmd_migrate(args):
print_info("Migration cancelled.")
return
# ── Phase 2b: Pre-apply backup of the Hermes home ─────────
# Delegates to hermes_cli.backup.create_pre_migration_backup(), which
# shares implementation with the pre-update backup (same exclusion
# rules, same SQLite safe-copy, zip format) so the archive is
# restorable with `hermes import`. Mirrors OpenClaw's
# createPreMigrationBackup posture — one atomic restore point before
# any mutation, auto-pruned to the last 5 pre-migration zips.
backup_archive: Optional[Path] = None
if not no_backup:
try:
from hermes_cli.backup import create_pre_migration_backup, _format_size
backup_archive = create_pre_migration_backup(hermes_home=hermes_home)
if backup_archive:
size_str = _format_size(backup_archive.stat().st_size)
print()
print_success(f"Pre-migration backup: {backup_archive} ({size_str})")
print_info(f"Restore with: hermes import {backup_archive.name}")
except Exception as e:
print()
print_error(f"Could not create pre-migration backup: {e}")
print_info(
"Re-run with --no-backup to skip, or free up disk space under the Hermes home."
)
logger.debug("Pre-migration backup error", exc_info=True)
return
try:
migrator = mod.Migrator(
source_root=source_dir.resolve(),
@@ -534,9 +476,6 @@ def _cmd_migrate(args):
print()
print_error(f"Migration failed: {e}")
logger.debug("OpenClaw migration error", exc_info=True)
if backup_archive:
print_info(f"A pre-migration backup is available at: {backup_archive}")
print_info(f"Restore with: hermes import {backup_archive.name}")
return
# Print results
+5 -167
View File
@@ -62,8 +62,6 @@ COMMAND_REGISTRY: list[CommandDef] = [
aliases=("reset",)),
CommandDef("clear", "Clear screen and start a new session", "Session",
cli_only=True),
CommandDef("redraw", "Force a full UI repaint (recovers from terminal drift)", "Session",
cli_only=True),
CommandDef("history", "Show conversation history", "Session",
cli_only=True),
CommandDef("save", "Save the current conversation", "Session",
@@ -115,9 +113,6 @@ COMMAND_REGISTRY: list[CommandDef] = [
CommandDef("verbose", "Cycle tool progress display: off -> new -> all -> verbose",
"Configuration", cli_only=True,
gateway_config_gate="display.tool_progress_command"),
CommandDef("footer", "Toggle gateway runtime-metadata footer on final replies",
"Configuration", args_hint="[on|off|status]",
subcommands=("on", "off", "status")),
CommandDef("yolo", "Toggle YOLO mode (skip all dangerous command approvals)",
"Configuration"),
CommandDef("reasoning", "Manage reasoning effort and display", "Configuration",
@@ -128,14 +123,11 @@ COMMAND_REGISTRY: list[CommandDef] = [
subcommands=("normal", "fast", "status", "on", "off")),
CommandDef("skin", "Show or change the display skin/theme", "Configuration",
cli_only=True, args_hint="[name]"),
CommandDef("indicator", "Pick the TUI busy-indicator style", "Configuration",
cli_only=True, args_hint="[kaomoji|emoji|unicode|ascii]",
subcommands=("kaomoji", "emoji", "unicode", "ascii")),
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")),
cli_only=True, args_hint="[queue|interrupt|status]",
subcommands=("queue", "interrupt", "status")),
# Tools & Skills
CommandDef("tools", "Manage tools: /tools [list|disable|enable] [name...]", "Tools & Skills",
@@ -148,6 +140,9 @@ 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("curator", "Background skill maintenance (status, run, pin, archive)",
"Tools & Skills", args_hint="[subcommand]",
subcommands=("status", "run", "pause", "resume", "pin", "unpin", "restore")),
CommandDef("reload", "Reload .env variables into the running session", "Tools & Skills",
cli_only=True),
CommandDef("reload-mcp", "Reload MCP servers from config", "Tools & Skills",
@@ -814,114 +809,6 @@ 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.
@@ -949,42 +836,6 @@ def slack_subcommand_map() -> dict[str, str]:
# Autocomplete
# ---------------------------------------------------------------------------
# Per-process cache for /model<space> LM Studio autocomplete. Probing on
# every keystroke would block the UI; a short TTL keeps it live without
# hammering the server.
_LMSTUDIO_COMPLETION_CACHE: tuple[float, list[str]] | None = None
def _lmstudio_completion_models() -> list[str]:
"""Locally-loaded LM Studio models for /model autocomplete (cached, gated)."""
global _LMSTUDIO_COMPLETION_CACHE
# Gate: don't probe 127.0.0.1 on every keystroke for users who don't use LM Studio.
if not (os.environ.get("LM_API_KEY") or os.environ.get("LM_BASE_URL")):
try:
from hermes_cli.auth import _load_auth_store
store = _load_auth_store() or {}
if "lmstudio" not in (store.get("providers") or {}) \
and "lmstudio" not in (store.get("credential_pool") or {}):
return []
except Exception:
return []
now = time.time()
if _LMSTUDIO_COMPLETION_CACHE and (now - _LMSTUDIO_COMPLETION_CACHE[0]) < 30.0:
return _LMSTUDIO_COMPLETION_CACHE[1]
try:
from hermes_cli.models import fetch_lmstudio_models
models = fetch_lmstudio_models(
api_key=os.environ.get("LM_API_KEY", ""),
base_url=os.environ.get("LM_BASE_URL") or "http://127.0.0.1:1234/v1",
timeout=0.8,
)
except Exception:
models = []
_LMSTUDIO_COMPLETION_CACHE = (now, models)
return models
class SlashCommandCompleter(Completer):
"""Autocomplete for built-in slash commands, subcommands, and skill commands."""
@@ -1408,19 +1259,6 @@ class SlashCommandCompleter(Completer):
)
except Exception:
pass
# LM Studio: surface locally-loaded models. Gated on the user actually
# having LM Studio configured (env var or auth-store entry) so we
# don't probe 127.0.0.1 on every keystroke for users who don't use it.
for name in _lmstudio_completion_models():
if name in seen:
continue
if name.startswith(sub_lower) and name != sub_lower:
yield Completion(
name,
start_position=-len(sub_text),
display=name,
display_meta="LM Studio",
)
def get_completions(self, document, complete_event):
text = document.text_before_cursor
+67 -328
View File
@@ -30,67 +30,34 @@ logger = logging.getLogger(__name__)
_IS_WINDOWS = platform.system() == "Windows"
_ENV_VAR_NAME_RE = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
_LAST_EXPANDED_CONFIG_BY_PATH: Dict[str, Any] = {}
# (path, mtime_ns, size) -> cached expanded config dict.
# load_config() returns a deepcopy of the cached value when the file
# hasn't changed since the last load, skipping yaml.safe_load +
# _deep_merge + _normalize_* + _expand_env_vars (~13 ms/call).
# save_config() + migrate_config() write via atomic_yaml_write which
# produces a fresh inode, so stat() sees a new mtime_ns and the next
# load repopulates automatically — no explicit invalidation hook.
_LOAD_CONFIG_CACHE: Dict[str, Tuple[int, int, Dict[str, Any]]] = {}
# (path, mtime_ns, size) -> cached raw yaml dict. Same pattern as
# _LOAD_CONFIG_CACHE but for read_raw_config() — used when callers want
# the user's on-disk values without defaults merged in.
_RAW_CONFIG_CACHE: Dict[str, Tuple[int, int, Dict[str, Any]]] = {}
# Env var names written to .env that aren't in OPTIONAL_ENV_VARS
# (managed by setup/provider flows directly).
_EXTRA_ENV_KEYS = frozenset({
"OPENAI_API_KEY", "OPENAI_BASE_URL",
"ANTHROPIC_API_KEY", "ANTHROPIC_TOKEN",
"DISCORD_HOME_CHANNEL", "DISCORD_HOME_CHANNEL_NAME",
"TELEGRAM_HOME_CHANNEL", "TELEGRAM_HOME_CHANNEL_NAME",
"SLACK_HOME_CHANNEL", "SLACK_HOME_CHANNEL_NAME",
"DISCORD_HOME_CHANNEL", "TELEGRAM_HOME_CHANNEL",
"SIGNAL_ACCOUNT", "SIGNAL_HTTP_URL",
"SIGNAL_ALLOWED_USERS", "SIGNAL_GROUP_ALLOWED_USERS",
"SIGNAL_HOME_CHANNEL", "SIGNAL_HOME_CHANNEL_NAME",
"SMS_HOME_CHANNEL", "SMS_HOME_CHANNEL_NAME",
"DINGTALK_CLIENT_ID", "DINGTALK_CLIENT_SECRET",
"DINGTALK_HOME_CHANNEL", "DINGTALK_HOME_CHANNEL_NAME",
"FEISHU_APP_ID", "FEISHU_APP_SECRET", "FEISHU_ENCRYPT_KEY", "FEISHU_VERIFICATION_TOKEN",
"FEISHU_HOME_CHANNEL", "FEISHU_HOME_CHANNEL_NAME",
"YUANBAO_HOME_CHANNEL", "YUANBAO_HOME_CHANNEL_NAME",
"WECOM_BOT_ID", "WECOM_SECRET",
"WECOM_CALLBACK_CORP_ID", "WECOM_CALLBACK_CORP_SECRET", "WECOM_CALLBACK_AGENT_ID",
"WECOM_CALLBACK_TOKEN", "WECOM_CALLBACK_ENCODING_AES_KEY",
"WECOM_CALLBACK_HOST", "WECOM_CALLBACK_PORT",
"WECOM_HOME_CHANNEL", "WECOM_HOME_CHANNEL_NAME",
"WEIXIN_ACCOUNT_ID", "WEIXIN_TOKEN", "WEIXIN_BASE_URL", "WEIXIN_CDN_BASE_URL",
"WEIXIN_HOME_CHANNEL", "WEIXIN_HOME_CHANNEL_NAME", "WEIXIN_DM_POLICY", "WEIXIN_GROUP_POLICY",
"WEIXIN_ALLOWED_USERS", "WEIXIN_GROUP_ALLOWED_USERS", "WEIXIN_ALLOW_ALL_USERS",
"BLUEBUBBLES_SERVER_URL", "BLUEBUBBLES_PASSWORD",
"BLUEBUBBLES_HOME_CHANNEL", "BLUEBUBBLES_HOME_CHANNEL_NAME",
"QQ_APP_ID", "QQ_CLIENT_SECRET", "QQBOT_HOME_CHANNEL", "QQBOT_HOME_CHANNEL_NAME",
"QQ_HOME_CHANNEL", "QQ_HOME_CHANNEL_NAME", # legacy aliases (pre-rename, still read for back-compat)
"QQ_ALLOWED_USERS", "QQ_GROUP_ALLOWED_USERS", "QQ_ALLOW_ALL_USERS", "QQ_MARKDOWN_SUPPORT",
"QQ_STT_API_KEY", "QQ_STT_BASE_URL", "QQ_STT_MODEL",
"TERMINAL_ENV", "TERMINAL_SSH_KEY", "TERMINAL_SSH_PORT",
"WHATSAPP_MODE", "WHATSAPP_ENABLED",
"MATTERMOST_HOME_CHANNEL", "MATTERMOST_HOME_CHANNEL_NAME", "MATTERMOST_REPLY_MODE",
"MATTERMOST_HOME_CHANNEL", "MATTERMOST_REPLY_MODE",
"MATRIX_PASSWORD", "MATRIX_ENCRYPTION", "MATRIX_DEVICE_ID", "MATRIX_HOME_ROOM",
"MATRIX_REQUIRE_MENTION", "MATRIX_FREE_RESPONSE_ROOMS", "MATRIX_AUTO_THREAD", "MATRIX_DM_AUTO_THREAD",
"MATRIX_REQUIRE_MENTION", "MATRIX_FREE_RESPONSE_ROOMS", "MATRIX_AUTO_THREAD",
"MATRIX_RECOVERY_KEY",
# Langfuse observability plugin — optional tuning keys + standard SDK vars.
# Activation is via plugins.enabled (opt-in through `hermes plugins enable
# observability/langfuse` or `hermes tools → Langfuse`); credentials gate
# the plugin at runtime.
"HERMES_LANGFUSE_ENV",
"HERMES_LANGFUSE_RELEASE",
"HERMES_LANGFUSE_SAMPLE_RATE",
"HERMES_LANGFUSE_MAX_CHARS",
"HERMES_LANGFUSE_DEBUG",
"LANGFUSE_PUBLIC_KEY",
"LANGFUSE_SECRET_KEY",
"LANGFUSE_BASE_URL",
})
import yaml
@@ -239,7 +206,6 @@ def get_container_exec_info() -> Optional[dict]:
# Re-export from hermes_constants — canonical definition lives there.
from hermes_constants import get_hermes_home # noqa: F811,E402
from utils import atomic_replace
def get_config_path() -> Path:
"""Get the main config file path."""
@@ -423,34 +389,6 @@ DEFAULT_CONFIG = {
# (60+ tool iterations with tiny output) before users assume the
# bot is dead and /restart.
"gateway_notify_interval": 180,
# Freshness window for the gateway auto-continue note (seconds).
# After a gateway crash/restart/SIGTERM mid-run, the next user
# message gets a "[System note: your previous turn was
# interrupted — process the unfinished tool result(s) first]"
# prepended so the model picks up where it left off. That's the
# right behaviour while the interruption is fresh, but stale
# markers (transcript last touched hours or days ago) can revive
# an unrelated old task when the user's next message starts new
# work. This window is the max age of the last persisted
# transcript row for which we still inject the continue note.
# Default 3600s comfortably covers a long turn (gateway_timeout
# default is 1800s) plus runtime slack. Set to 0 to disable the
# gate and restore pre-fix behaviour (always inject).
"gateway_auto_continue_freshness": 3600,
# How user-attached images are presented to the main model on each turn.
# "auto" — attach natively when the active model reports
# supports_vision=True AND the user hasn't explicitly
# configured auxiliary.vision.provider. Otherwise fall
# back to text (vision_analyze pre-analysis).
# "native" — always attach natively; non-vision models will either
# error at the provider or get a last-chance text fallback
# (see run_agent._prepare_messages_for_api).
# "text" — always pre-analyze with vision_analyze and prepend the
# description as text; the main model never sees pixels.
# Affects gateway platforms, the TUI, and CLI /attach. vision_analyze
# remains available as a tool regardless of this setting — the routing
# only controls how inbound user images are presented.
"image_input_mode": "auto",
},
"terminal": {
@@ -527,7 +465,6 @@ 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
@@ -549,19 +486,6 @@ 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
@@ -594,7 +518,7 @@ DEFAULT_CONFIG = {
"threshold": 0.50, # compress when context usage exceeds this ratio
"target_ratio": 0.20, # fraction of threshold to preserve as recent tail
"protect_last_n": 20, # minimum recent messages to keep uncompressed
"hygiene_hard_message_limit": 400, # gateway session-hygiene force-compress threshold by message count
},
# Anthropic prompt caching (Claude via OpenRouter or native Anthropic API).
@@ -702,12 +626,7 @@ DEFAULT_CONFIG = {
"compact": False,
"personality": "kawaii",
"resume_display": "full",
"busy_input_mode": "interrupt", # interrupt | queue | steer
# When true, `hermes --tui` auto-resumes the most recent human-
# facing session on launch instead of forging a fresh one.
# Mirrors `hermes -c` muscle memory. Default off so existing
# users aren't surprised. HERMES_TUI_RESUME=<id> always wins.
"tui_auto_resume_recent": False,
"busy_input_mode": "interrupt",
"bell_on_complete": False,
"show_reasoning": False,
"streaming": False,
@@ -715,9 +634,6 @@ DEFAULT_CONFIG = {
"inline_diffs": True, # Show inline diff previews for write actions (write_file, patch, skill_manage)
"show_cost": False, # Show $ cost in the status bar (off by default)
"skin": "default",
# TUI busy indicator style: kaomoji (default), emoji, unicode (braille
# spinner), or ascii. Live-swappable via `/indicator <style>`.
"tui_status_indicator": "kaomoji",
"user_message_preview": { # CLI: how many submitted user-message lines to echo back in scrollback
"first_lines": 2,
"last_lines": 2,
@@ -727,14 +643,6 @@ DEFAULT_CONFIG = {
"tool_progress_overrides": {}, # DEPRECATED — use display.platforms instead
"tool_preview_length": 0, # Max chars for tool call previews (0 = no limit, show full paths/commands)
"platforms": {}, # Per-platform display overrides: {"telegram": {"tool_progress": "all"}, "slack": {"tool_progress": "off"}}
# Gateway runtime-metadata footer appended to the FINAL message of a turn
# (disabled by default to keep replies minimal). When enabled, renders
# e.g. `model · 68% · ~/projects/hermes`. Per-platform overrides go under
# display.platforms.<platform>.runtime_footer.
"runtime_footer": {
"enabled": False,
"fields": ["model", "context_pct", "cwd"], # Order shown; drop any to hide
},
},
# Web dashboard settings
@@ -915,6 +823,35 @@ DEFAULT_CONFIG = {
"guard_agent_created": False,
},
# Curator — background skill maintenance.
#
# Periodically reviews AGENT-CREATED skills (never bundled or
# hub-installed) and keeps the collection tidy: marks long-unused skills
# as stale, archives genuinely obsolete ones (archive only, never
# deletes), and spawns a forked aux-model agent to consolidate overlaps
# and patch drift. Runs inactivity-triggered from session start — no
# cron daemon.
#
# See `hermes curator status` for the last run summary.
"curator": {
"enabled": True,
# How long to wait between curator runs (hours). Default: 7 days.
"interval_hours": 24 * 7,
# Only run when the agent has been idle at least this long (hours).
"min_idle_hours": 2,
# Mark a skill as "stale" after this many days without use.
"stale_after_days": 30,
# Archive a skill (move to skills/.archive/) after this many days
# without use. Archived skills are recoverable — no auto-deletion.
"archive_after_days": 90,
# Optional per-task override for the curator's aux model. Leave null
# to use Hermes' main auxiliary client resolution.
"auxiliary": {
"provider": None,
"model": None,
},
},
# Honcho AI-native memory -- reads ~/.honcho/config.json as single source of truth.
# This section is only needed for hermes-specific overrides; everything else
# (apiKey, workspace, peerName, sessions, enabled) comes from the global config.
@@ -952,7 +889,6 @@ DEFAULT_CONFIG = {
# Telegram platform settings (gateway mode)
"telegram": {
"reactions": False, # Add 👀/✅/❌ reactions to messages during processing
"channel_prompts": {}, # Per-chat/topic ephemeral system prompts (topics inherit from parent group)
},
@@ -1007,7 +943,7 @@ 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": False,
"redact_secrets": True,
"tirith_enabled": True,
"tirith_path": "tirith",
"tirith_timeout": 5,
@@ -1116,20 +1052,6 @@ DEFAULT_CONFIG = {
"seen": {},
},
# ``hermes update`` behaviour.
"updates": {
# Run a full ``hermes backup``-style zip of HERMES_HOME before every
# ``hermes update``. Backups land in ``<HERMES_HOME>/backups/`` and
# can be restored with ``hermes import <path>``. Off by default —
# on large HERMES_HOME directories the zip can add minutes to every
# update. Set to true to re-enable, or pass ``--backup`` to opt in
# for a single update run.
"pre_update_backup": False,
# How many pre-update backup zips to retain. Older ones are pruned
# automatically after each successful backup.
"backup_keep": 5,
},
# Config schema version - bump this when adding new required fields
"_config_version": 22,
}
@@ -1231,22 +1153,6 @@ OPTIONAL_ENV_VARS = {
"category": "provider",
"advanced": True,
},
"LM_API_KEY": {
"description": "LM Studio bearer token for auth-enabled local servers",
"prompt": "LM Studio API key / bearer token",
"url": None,
"password": True,
"category": "provider",
"advanced": True,
},
"LM_BASE_URL": {
"description": "LM Studio base URL override",
"prompt": "LM Studio base URL (leave empty for default)",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
"GLM_API_KEY": {
"description": "Z.AI / GLM API key (also recognized as ZAI_API_KEY / Z_AI_API_KEY)",
"prompt": "Z.AI / GLM API key",
@@ -1335,22 +1241,6 @@ OPTIONAL_ENV_VARS = {
"category": "provider",
"advanced": True,
},
"GMI_API_KEY": {
"description": "GMI Cloud API key",
"prompt": "GMI Cloud API key",
"url": "https://www.gmicloud.ai/",
"password": True,
"category": "provider",
"advanced": True,
},
"GMI_BASE_URL": {
"description": "GMI Cloud base URL override",
"prompt": "GMI Cloud base URL (leave empty for default)",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
"MINIMAX_API_KEY": {
"description": "MiniMax API key (international)",
"prompt": "MiniMax API key",
@@ -1720,44 +1610,6 @@ 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",
@@ -1773,30 +1625,6 @@ OPTIONAL_ENV_VARS = {
"category": "tool",
},
# ── Langfuse observability ──
"HERMES_LANGFUSE_PUBLIC_KEY": {
"description": "Langfuse project public key (pk-lf-...)",
"prompt": "Langfuse public key",
"url": "https://cloud.langfuse.com",
"password": False,
"category": "tool",
},
"HERMES_LANGFUSE_SECRET_KEY": {
"description": "Langfuse project secret key (sk-lf-...)",
"prompt": "Langfuse secret key",
"url": "https://cloud.langfuse.com",
"password": True,
"category": "tool",
},
"HERMES_LANGFUSE_BASE_URL": {
"description": "Langfuse server URL (default: https://cloud.langfuse.com)",
"prompt": "Langfuse server URL (leave empty for cloud.langfuse.com)",
"url": None,
"password": False,
"category": "tool",
"advanced": True,
},
# ── Messaging platforms ──
"TELEGRAM_BOT_TOKEN": {
"description": "Telegram bot token from @BotFather",
@@ -1944,14 +1772,6 @@ OPTIONAL_ENV_VARS = {
"category": "messaging",
"advanced": True,
},
"MATRIX_DM_AUTO_THREAD": {
"description": "Auto-create threads for DM messages in Matrix (default: false)",
"prompt": "Auto-create threads in DMs (true/false)",
"url": None,
"password": False,
"category": "messaging",
"advanced": True,
},
"MATRIX_DEVICE_ID": {
"description": "Stable Matrix device ID for E2EE persistence across restarts (e.g. HERMES_BOT)",
"prompt": "Matrix device ID (stable across restarts)",
@@ -2293,21 +2113,14 @@ def _normalize_custom_provider_entry(
"baseUrl": "base_url",
"apiMode": "api_mode",
"keyEnv": "key_env",
"apiKeyEnv": "key_env", # alias — OpenClaw-compatible + docs variant
"defaultModel": "default_model",
"contextLength": "context_length",
"rateLimitDelay": "rate_limit_delay",
}
# api_key_env is a documented snake_case alias for key_env (see
# website/docs/guides/azure-foundry.md). Normalize it up front so the
# rest of the normalizer treats it as the canonical field.
if "api_key_env" in entry and "key_env" not in entry:
entry["key_env"] = entry["api_key_env"]
_KNOWN_KEYS = {
"name", "api", "url", "base_url", "api_key", "key_env", "api_key_env",
"name", "api", "url", "base_url", "api_key", "key_env",
"api_mode", "transport", "model", "default_model", "models",
"context_length", "rate_limit_delay",
"request_timeout_seconds", "stale_timeout_seconds",
}
for camel, snake in _CAMEL_ALIASES.items():
if camel in entry and snake not in entry:
@@ -2559,9 +2372,6 @@ _KNOWN_ROOT_KEYS = {
_VALID_CUSTOM_PROVIDER_FIELDS = {
"name", "base_url", "api_key", "api_mode", "model", "models",
"context_length", "rate_limit_delay",
# key_env is read at runtime by runtime_provider.py and auxiliary_client.py
# — include it here so the set accurately describes the supported schema.
"key_env",
}
# Fields that look like they should be inside custom_providers, not at root
@@ -2638,32 +2448,10 @@ def validate_config_structure(config: Optional[Dict[str, Any]] = None) -> List["
"Add the API endpoint URL, e.g.: base_url: https://api.example.com/v1",
))
# ── fallback_model: single dict OR list of dicts (chain) ─────────────
# ── fallback_model must be a top-level dict with provider + model ────
fb = config.get("fallback_model")
if fb is not None:
if isinstance(fb, list):
# Chain fallback — validate each entry
for i, entry in enumerate(fb):
if not isinstance(entry, dict):
issues.append(ConfigIssue(
"error",
f"fallback_model[{i}] should be a dict, got {type(entry).__name__}",
"Each entry needs provider + model",
))
else:
if not entry.get("provider"):
issues.append(ConfigIssue(
"warning",
f"fallback_model[{i}] is missing 'provider' field",
"Add: provider: openrouter (or another provider)",
))
if not entry.get("model"):
issues.append(ConfigIssue(
"warning",
f"fallback_model[{i}] is missing 'model' field",
"Add: model: <model-name>",
))
elif not isinstance(fb, dict):
if not isinstance(fb, dict):
issues.append(ConfigIssue(
"error",
f"fallback_model should be a dict with 'provider' and 'model', got {type(fb).__name__}",
@@ -3456,62 +3244,25 @@ def read_raw_config() -> Dict[str, Any]:
be parsed. Use this for lightweight config reads where you just need a
single value and don't want the overhead of ``load_config()``'s deep-merge
+ migration pipeline.
Cached on the config file's (mtime_ns, size) — same strategy as
``load_config()``. Returns a deepcopy on every call since some callers
mutate the result before passing to ``save_config()``.
"""
try:
config_path = get_config_path()
st = config_path.stat()
cache_key = (st.st_mtime_ns, st.st_size)
except (FileNotFoundError, OSError):
return {}
path_key = str(config_path)
cached = _RAW_CONFIG_CACHE.get(path_key)
if cached is not None and cached[:2] == cache_key:
return copy.deepcopy(cached[2])
try:
with open(config_path, encoding="utf-8") as f:
data = yaml.safe_load(f) or {}
if config_path.exists():
with open(config_path, encoding="utf-8") as f:
return yaml.safe_load(f) or {}
except Exception:
return {}
if not isinstance(data, dict):
data = {}
_RAW_CONFIG_CACHE[path_key] = (cache_key[0], cache_key[1], copy.deepcopy(data))
return data
pass
return {}
def load_config() -> Dict[str, Any]:
"""Load configuration from ~/.hermes/config.yaml.
Cached on the config file's (mtime_ns, size). Returns a deepcopy of
the cached value when unchanged, since most call sites mutate the
result (e.g. ``cfg["model"]["default"] = ...`` before ``save_config``).
The cache is keyed on ``str(config_path)`` so profile switches
(which change ``HERMES_HOME`` and therefore ``get_config_path()``)
don't collide.
"""
"""Load configuration from ~/.hermes/config.yaml."""
ensure_hermes_home()
config_path = get_config_path()
path_key = str(config_path)
try:
st = config_path.stat()
cache_key: Optional[Tuple[int, int]] = (st.st_mtime_ns, st.st_size)
except FileNotFoundError:
cache_key = None
cached = _LOAD_CONFIG_CACHE.get(path_key)
if cached is not None and cache_key is not None and cached[:2] == cache_key:
return copy.deepcopy(cached[2])
config = copy.deepcopy(DEFAULT_CONFIG)
if cache_key is not None:
if config_path.exists():
try:
with open(config_path, encoding="utf-8") as f:
user_config = yaml.safe_load(f) or {}
@@ -3529,26 +3280,20 @@ def load_config() -> Dict[str, Any]:
normalized = _normalize_root_model_keys(_normalize_max_turns_config(config))
expanded = _expand_env_vars(normalized)
_LAST_EXPANDED_CONFIG_BY_PATH[path_key] = copy.deepcopy(expanded)
if cache_key is not None:
_LOAD_CONFIG_CACHE[path_key] = (cache_key[0], cache_key[1], copy.deepcopy(expanded))
else:
_LOAD_CONFIG_CACHE.pop(path_key, None)
_LAST_EXPANDED_CONFIG_BY_PATH[str(config_path)] = copy.deepcopy(expanded)
return expanded
_SECURITY_COMMENT = """
# ── Security ──────────────────────────────────────────────────────────
# Secret redaction is OFF by default — tool output (terminal stdout,
# read_file results, web content) passes through unmodified. Set
# redact_secrets to true to mask strings that look like API keys, tokens,
# and passwords before they enter the model context and logs.
# API keys, tokens, and passwords are redacted from tool output by default.
# Set to false to see full values (useful for debugging auth issues).
# tirith pre-exec scanning is enabled by default when the tirith binary
# is available. Configure via security.tirith_* keys or env vars
# (TIRITH_ENABLED, TIRITH_BIN, TIRITH_TIMEOUT, TIRITH_FAIL_OPEN).
#
# security:
# redact_secrets: true
# redact_secrets: false
# tirith_enabled: true
# tirith_path: "tirith"
# tirith_timeout: 5
@@ -3581,11 +3326,11 @@ _FALLBACK_COMMENT = """
_COMMENTED_SECTIONS = """
# ── Security ──────────────────────────────────────────────────────────
# Secret redaction is OFF by default. Set to true to mask strings that
# look like API keys, tokens, and passwords in tool output and logs.
# API keys, tokens, and passwords are redacted from tool output by default.
# Set to false to see full values (useful for debugging auth issues).
#
# security:
# redact_secrets: true
# redact_secrets: false
# ── Fallback Model ────────────────────────────────────────────────────
# Automatic provider failover when primary is unavailable.
@@ -3636,12 +3381,7 @@ 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", {})
fb_is_valid = False
if isinstance(fb, list):
fb_is_valid = any(isinstance(e, dict) and e.get("provider") and e.get("model") for e in fb)
elif isinstance(fb, dict):
fb_is_valid = bool(fb.get("provider") and fb.get("model"))
if not fb_is_valid:
if not fb or not isinstance(fb, dict) or not (fb.get("provider") and fb.get("model")):
parts.append(_FALLBACK_COMMENT)
atomic_yaml_write(
@@ -3767,7 +3507,7 @@ def sanitize_env_file() -> int:
f.writelines(sanitized)
f.flush()
os.fsync(f.fileno())
atomic_replace(tmp_path, env_path)
os.replace(tmp_path, env_path)
except BaseException:
try:
os.unlink(tmp_path)
@@ -3830,7 +3570,7 @@ def save_env_value(key: str, value: str):
value = _check_non_ascii_credential(key, value)
ensure_hermes_home()
env_path = get_env_path()
# On Windows, open() defaults to the system locale (cp1252) which can
# cause OSError errno 22 on UTF-8 .env files.
read_kw = {"encoding": "utf-8", "errors": "replace"} if _IS_WINDOWS else {}
@@ -3842,7 +3582,7 @@ def save_env_value(key: str, value: str):
lines = f.readlines()
# Sanitize on every read: split concatenated keys, drop stale placeholders
lines = _sanitize_env_lines(lines)
# Find and update or append
found = False
for i, line in enumerate(lines):
@@ -3850,7 +3590,7 @@ def save_env_value(key: str, value: str):
lines[i] = f"{key}={value}\n"
found = True
break
if not found:
# Ensure there's a newline at the end of the file before appending
if lines and not lines[-1].endswith("\n"):
@@ -3870,7 +3610,7 @@ def save_env_value(key: str, value: str):
f.writelines(lines)
f.flush()
os.fsync(f.fileno())
atomic_replace(tmp_path, env_path)
os.replace(tmp_path, env_path)
# Restore original permissions before _secure_file may tighten them.
if original_mode is not None:
try:
@@ -3926,7 +3666,7 @@ def remove_env_value(key: str) -> bool:
f.writelines(new_lines)
f.flush()
os.fsync(f.fileno())
atomic_replace(tmp_path, env_path)
os.replace(tmp_path, env_path)
if original_mode is not None:
try:
os.chmod(env_path, original_mode)
@@ -4013,13 +3753,12 @@ def get_env_value(key: str) -> Optional[str]:
# =============================================================================
def redact_key(key: str) -> str:
"""Redact an API key for display.
Thin wrapper over :func:`agent.redact.mask_secret` preserves the
"(not set)" placeholder in dim color for the empty case.
"""
from agent.redact import mask_secret
return mask_secret(key, empty=color("(not set)", Colors.DIM))
"""Redact an API key for display."""
if not key:
return color("(not set)", Colors.DIM)
if len(key) < 12:
return "***"
return key[:4] + "..." + key[-4:]
def show_config():
+232
View File
@@ -0,0 +1,232 @@
"""CLI subcommand: `hermes curator <subcommand>`.
Thin shell around agent/curator.py and tools/skill_usage.py. Renders a status
table, triggers a run, pauses/resumes, and pins/unpins skills.
This module intentionally has no side effects at import time main.py wires
the argparse subparsers on demand.
"""
from __future__ import annotations
import argparse
import sys
from datetime import datetime, timezone
from typing import Optional
def _fmt_ts(ts: Optional[str]) -> str:
if not ts:
return "never"
try:
dt = datetime.fromisoformat(ts)
except (TypeError, ValueError):
return str(ts)
if dt.tzinfo is None:
dt = dt.replace(tzinfo=timezone.utc)
delta = datetime.now(timezone.utc) - dt
secs = int(delta.total_seconds())
if secs < 60:
return f"{secs}s ago"
if secs < 3600:
return f"{secs // 60}m ago"
if secs < 86400:
return f"{secs // 3600}h ago"
return f"{secs // 86400}d ago"
def _cmd_status(args) -> int:
from agent import curator
from tools import skill_usage
state = curator.load_state()
enabled = curator.is_enabled()
paused = state.get("paused", False)
last_run = state.get("last_run_at")
summary = state.get("last_run_summary") or "(none)"
runs = state.get("run_count", 0)
status_line = (
"ENABLED" if enabled and not paused else
"PAUSED" if paused else
"DISABLED"
)
print(f"curator: {status_line}")
print(f" runs: {runs}")
print(f" last run: {_fmt_ts(last_run)}")
print(f" last summary: {summary}")
_ih = curator.get_interval_hours()
_interval_label = (
f"{_ih // 24}d" if _ih % 24 == 0 and _ih >= 24
else f"{_ih}h"
)
print(f" interval: every {_interval_label}")
print(f" stale after: {curator.get_stale_after_days()}d unused")
print(f" archive after: {curator.get_archive_after_days()}d unused")
rows = skill_usage.agent_created_report()
if not rows:
print("\nno agent-created skills")
return 0
by_state = {"active": [], "stale": [], "archived": []}
pinned = []
for r in rows:
state_name = r.get("state", "active")
by_state.setdefault(state_name, []).append(r)
if r.get("pinned"):
pinned.append(r["name"])
print(f"\nagent-created skills: {len(rows)} total")
for state_name in ("active", "stale", "archived"):
bucket = by_state.get(state_name, [])
print(f" {state_name:10s} {len(bucket)}")
if pinned:
print(f"\npinned ({len(pinned)}): {', '.join(pinned)}")
# Show top 5 least-recently-used active skills
active = sorted(
by_state.get("active", []),
key=lambda r: r.get("last_used_at") or r.get("created_at") or "",
)[:5]
if active:
print("\nleast recently used (top 5):")
for r in active:
last = _fmt_ts(r.get("last_used_at"))
print(f" {r['name']:40s} use={r.get('use_count', 0):3d} last_used={last}")
return 0
def _cmd_run(args) -> int:
from agent import curator
if not curator.is_enabled():
print("curator: disabled via config; enable with `curator.enabled: true`")
return 1
print("curator: running review pass...")
def _on_summary(msg: str) -> None:
print(msg)
result = curator.run_curator_review(
on_summary=_on_summary,
synchronous=bool(args.synchronous),
)
auto = result.get("auto_transitions", {})
if auto:
print(
f"auto: checked={auto.get('checked', 0)} "
f"stale={auto.get('marked_stale', 0)} "
f"archived={auto.get('archived', 0)} "
f"reactivated={auto.get('reactivated', 0)}"
)
if not args.synchronous:
print("llm pass running in background — check `hermes curator status` later")
return 0
def _cmd_pause(args) -> int:
from agent import curator
curator.set_paused(True)
print("curator: paused")
return 0
def _cmd_resume(args) -> int:
from agent import curator
curator.set_paused(False)
print("curator: resumed")
return 0
def _cmd_pin(args) -> int:
from tools import skill_usage
if not skill_usage.is_agent_created(args.skill):
print(
f"curator: '{args.skill}' is bundled or hub-installed — cannot pin "
"(only agent-created skills participate in curation)"
)
return 1
skill_usage.set_pinned(args.skill, True)
print(f"curator: pinned '{args.skill}' (will bypass auto-transitions)")
return 0
def _cmd_unpin(args) -> int:
from tools import skill_usage
if not skill_usage.is_agent_created(args.skill):
print(
f"curator: '{args.skill}' is bundled or hub-installed — "
"there's nothing to unpin (curator only tracks agent-created skills)"
)
return 1
skill_usage.set_pinned(args.skill, False)
print(f"curator: unpinned '{args.skill}'")
return 0
def _cmd_restore(args) -> int:
from tools import skill_usage
ok, msg = skill_usage.restore_skill(args.skill)
print(f"curator: {msg}")
return 0 if ok else 1
# ---------------------------------------------------------------------------
# argparse wiring (called from hermes_cli.main)
# ---------------------------------------------------------------------------
def register_cli(parent: argparse.ArgumentParser) -> None:
"""Attach `curator` subcommands to *parent*.
main.py calls this with the ArgumentParser returned by
``subparsers.add_parser("curator", ...)``.
"""
parent.set_defaults(func=lambda a: (parent.print_help(), 0)[1])
subs = parent.add_subparsers(dest="curator_command")
p_status = subs.add_parser("status", help="Show curator status and skill stats")
p_status.set_defaults(func=_cmd_status)
p_run = subs.add_parser("run", help="Trigger a curator review now")
p_run.add_argument(
"--sync", "--synchronous", dest="synchronous", action="store_true",
help="Wait for the LLM review pass to finish (default: background thread)",
)
p_run.set_defaults(func=_cmd_run)
p_pause = subs.add_parser("pause", help="Pause the curator until resumed")
p_pause.set_defaults(func=_cmd_pause)
p_resume = subs.add_parser("resume", help="Resume a paused curator")
p_resume.set_defaults(func=_cmd_resume)
p_pin = subs.add_parser("pin", help="Pin a skill so the curator never auto-transitions it")
p_pin.add_argument("skill", help="Skill name")
p_pin.set_defaults(func=_cmd_pin)
p_unpin = subs.add_parser("unpin", help="Unpin a skill")
p_unpin.add_argument("skill", help="Skill name")
p_unpin.set_defaults(func=_cmd_unpin)
p_restore = subs.add_parser("restore", help="Restore an archived skill")
p_restore.add_argument("skill", help="Skill name")
p_restore.set_defaults(func=_cmd_restore)
def cli_main(argv=None) -> int:
"""Standalone entry (also usable by hermes_cli.main fallthrough)."""
parser = argparse.ArgumentParser(prog="hermes curator")
register_cli(parser)
args = parser.parse_args(argv)
fn = getattr(args, "func", None)
if fn is None:
parser.print_help()
return 0
return int(fn(args) or 0)
if __name__ == "__main__": # pragma: no cover
sys.exit(cli_main())
+7 -13
View File
@@ -7,6 +7,7 @@ Currently supports:
import io
import json
import os
import sys
import time
import urllib.error
@@ -17,7 +18,6 @@ from pathlib import Path
from typing import Optional
from hermes_constants import get_hermes_home
from utils import atomic_replace
# ---------------------------------------------------------------------------
@@ -45,13 +45,8 @@ def _pending_file() -> Path:
Each entry: ``{"url": "...", "expire_at": <unix_ts>}``. Scheduled
DELETEs used to be handled by spawning a detached Python process per
paste that slept for 6 hours; those accumulated forever if the user
ran ``hermes debug share`` repeatedly.
Deletion is now driven by the gateway's cron ticker
(``gateway/run.py::_start_cron_ticker``) which calls
``_sweep_expired_pastes`` once per hour. ``hermes debug share`` also
runs an opportunistic sweep on entry as a fallback for CLI-only users
who never start the gateway.
ran ``hermes debug share`` repeatedly. We now persist the schedule
to disk and sweep expired entries on the next debug invocation.
"""
return get_hermes_home() / "pastes" / "pending.json"
@@ -79,7 +74,7 @@ def _save_pending(entries: list[dict]) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
tmp = path.with_suffix(".json.tmp")
tmp.write_text(json.dumps(entries, indent=2), encoding="utf-8")
atomic_replace(tmp, path)
os.replace(tmp, path)
except OSError:
# Non-fatal — worst case the user has to run ``hermes debug delete``
# manually.
@@ -228,10 +223,9 @@ def _schedule_auto_delete(urls: list[str], delay_seconds: int = _AUTO_DELETE_SEC
interpreters that never exited until the sleep completed.
The replacement is stateless: we append to ``~/.hermes/pastes/pending.json``
and the gateway's cron ticker sweeps expired entries once per hour.
``hermes debug share`` also runs an opportunistic sweep as a fallback
for CLI-only users. If neither runs again, paste.rs's own retention
policy handles cleanup.
and rely on opportunistic sweeps (``_sweep_expired_pastes``) called from
every ``hermes debug`` invocation. If the user never runs ``hermes debug``
again, paste.rs's own retention policy handles cleanup.
"""
_record_pending(urls, delay_seconds=delay_seconds)
+1
View File
@@ -13,6 +13,7 @@ automatically.
from __future__ import annotations
import io
import os
import sys
import time
+13 -78
View File
@@ -46,7 +46,6 @@ _PROVIDER_ENV_HINTS = (
"Z_AI_API_KEY",
"KIMI_API_KEY",
"KIMI_CN_API_KEY",
"GMI_API_KEY",
"MINIMAX_API_KEY",
"MINIMAX_CN_API_KEY",
"KILOCODE_API_KEY",
@@ -57,7 +56,6 @@ _PROVIDER_ENV_HINTS = (
"OPENCODE_ZEN_API_KEY",
"OPENCODE_GO_API_KEY",
"XIAOMI_API_KEY",
"TOKENHUB_API_KEY",
)
@@ -293,23 +291,15 @@ def run_doctor(args):
known_providers: set = set()
try:
from hermes_cli.auth import (
PROVIDER_REGISTRY,
resolve_provider as _resolve_auth_provider,
)
from hermes_cli.auth import PROVIDER_REGISTRY
known_providers = set(PROVIDER_REGISTRY.keys()) | {"openrouter", "custom", "auto"}
except Exception:
_resolve_auth_provider = None
pass
try:
from hermes_cli.config import get_compatible_custom_providers as _compatible_custom_providers
from hermes_cli.providers import (
normalize_provider as _normalize_catalog_provider,
resolve_provider_full as _resolve_provider_full,
)
from hermes_cli.providers import resolve_provider_full as _resolve_provider_full
except Exception:
_compatible_custom_providers = None
_normalize_catalog_provider = None
_resolve_provider_full = None
custom_providers = []
@@ -329,43 +319,17 @@ def run_doctor(args):
if name:
known_providers.add("custom:" + name.lower().replace(" ", "-"))
valid_provider_ids = set(known_providers)
provider_ids_to_accept = {provider} if provider else set()
if _normalize_catalog_provider is not None:
for known_provider in known_providers:
try:
valid_provider_ids.add(_normalize_catalog_provider(known_provider))
except Exception:
continue
runtime_provider = provider
if (
provider
and _resolve_auth_provider is not None
and provider not in ("auto", "custom")
):
try:
runtime_provider = _resolve_auth_provider(provider)
provider_ids_to_accept.add(runtime_provider)
except Exception:
runtime_provider = provider
catalog_provider = provider
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)
catalog_provider = provider_def.id if provider_def is not None else None
if catalog_provider is not None:
provider_ids_to_accept.add(catalog_provider)
canonical_provider = provider_def.id if provider_def is not None else None
if provider and provider != "auto":
if catalog_provider is None or (
known_providers
and not (provider_ids_to_accept & valid_provider_ids)
):
if canonical_provider is None or (known_providers and canonical_provider not in known_providers):
known_list = ", ".join(sorted(known_providers)) if known_providers else "(unavailable)"
check_fail(
f"model.provider '{provider_raw}' is not a recognised provider",
@@ -378,24 +342,7 @@ def run_doctor(args):
)
# Warn if model is set to a provider-prefixed name on a provider that doesn't use them
provider_for_policy = runtime_provider or catalog_provider
providers_accepting_vendor_slugs = {
"openrouter",
"custom",
"auto",
"ai-gateway",
"kilocode",
"opencode-zen",
"huggingface",
"lmstudio",
"nous",
}
if (
default_model
and "/" in default_model
and provider_for_policy
and provider_for_policy not in providers_accepting_vendor_slugs
):
if default_model and "/" in default_model and canonical_provider and canonical_provider not in ("openrouter", "custom", "auto", "ai-gateway", "kilocode", "opencode-zen", "huggingface", "nous"):
check_warn(
f"model.default '{default_model}' uses a vendor/model slug but provider is '{provider_raw}'",
"(vendor-prefixed slugs belong to aggregators like openrouter)",
@@ -411,24 +358,20 @@ def run_doctor(args):
# own env-var checks elsewhere in doctor, and get_auth_status()
# returns a bare {logged_in: False} for anything it doesn't
# explicitly dispatch, which would produce false positives.
if runtime_provider and runtime_provider not in ("auto", "custom", "openrouter"):
if canonical_provider and canonical_provider not in ("auto", "custom", "openrouter"):
try:
from hermes_cli.auth import PROVIDER_REGISTRY, get_auth_status
pconfig = PROVIDER_REGISTRY.get(runtime_provider)
pconfig = PROVIDER_REGISTRY.get(canonical_provider)
if pconfig and getattr(pconfig, "auth_type", "") == "api_key":
status = get_auth_status(runtime_provider) or {}
configured = bool(
status.get("configured")
or status.get("logged_in")
or status.get("api_key")
)
status = get_auth_status(canonical_provider) or {}
configured = bool(status.get("configured") or status.get("logged_in") or status.get("api_key"))
if not configured:
check_fail(
f"model.provider '{runtime_provider}' is set but no API key is configured",
f"model.provider '{canonical_provider}' is set but no API key is configured",
"(check ~/.hermes/.env or run 'hermes setup')",
)
issues.append(
f"No credentials found for provider '{runtime_provider}'. "
f"No credentials found for provider '{canonical_provider}'. "
f"Run 'hermes setup' or set the provider's API key in {_DHH}/.env, "
f"or switch providers with 'hermes config set model.provider <name>'"
)
@@ -572,14 +515,7 @@ def run_doctor(args):
if shutil.which("codex"):
check_ok("codex CLI")
else:
# Native OAuth uses Hermes' own device-code flow — the Codex CLI is
# only needed if you want to import existing tokens from
# ~/.codex/auth.json. Downgrade to info so users running
# `hermes auth openai-codex` aren't told they're missing something.
check_info(
"codex CLI not installed "
"(optional — only required to import tokens from an existing Codex CLI login)"
)
check_warn("codex CLI not found", "(required for openai-codex login)")
# =========================================================================
# Check: Directory structure
@@ -1001,7 +937,6 @@ def run_doctor(args):
("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),
("GMI Cloud", ("GMI_API_KEY",), "https://api.gmi-serving.com/v1/models", "GMI_BASE_URL", True),
("DeepSeek", ("DEEPSEEK_API_KEY",), "https://api.deepseek.com/v1/models", "DEEPSEEK_BASE_URL", True),
("Hugging Face", ("HF_TOKEN",), "https://router.huggingface.co/v1/models", "HF_BASE_URL", True),
("NVIDIA NIM", ("NVIDIA_API_KEY",), "https://integrate.api.nvidia.com/v1/models", "NVIDIA_BASE_URL", True),
+6 -8
View File
@@ -33,14 +33,12 @@ def _get_git_commit(project_root: Path) -> str:
def _redact(value: str) -> str:
"""Redact all but first 4 and last 4 chars.
Thin wrapper over :func:`agent.redact.mask_secret`. Returns ``""`` for
an empty value (matches the historical behavior of this helper
``hermes dump`` formats empty values as blank, not as ``"(not set)"``).
"""
from agent.redact import mask_secret
return mask_secret(value)
"""Redact all but first 4 and last 4 chars."""
if not value:
return ""
if len(value) < 12:
return "***"
return value[:4] + "..." + value[-4:]
def _gateway_status() -> str:
+1 -2
View File
@@ -7,7 +7,6 @@ import sys
from pathlib import Path
from dotenv import load_dotenv
from utils import atomic_replace
# Env var name suffixes that indicate credential values. These are the
@@ -128,7 +127,7 @@ def _sanitize_env_file_if_needed(path: Path) -> None:
f.writelines(sanitized)
f.flush()
os.fsync(f.fileno())
atomic_replace(tmp, path)
os.replace(tmp, path)
except BaseException:
try:
os.unlink(tmp)
+4 -25
View File
@@ -2724,24 +2724,6 @@ _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."},
],
},
]
@@ -2953,7 +2935,7 @@ def _setup_sms():
def _setup_dingtalk():
"""Configure DingTalk — QR scan (recommended) or manual credential entry."""
from hermes_cli.setup import (
prompt_choice, prompt_yes_no, print_success, print_warning,
prompt_choice, prompt_yes_no, print_info, print_success, print_warning,
)
dingtalk_platform = next(p for p in _PLATFORMS if p["key"] == "dingtalk")
@@ -3126,12 +3108,6 @@ def _setup_wecom():
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)
def _is_service_installed() -> bool:
"""Check if the gateway is installed as a system service."""
if supports_systemd_services():
@@ -3504,6 +3480,7 @@ def _setup_qqbot():
method_idx = prompt_choice(" How would you like to set up QQ Bot?", method_choices, 0)
credentials = None
used_qr = False
if method_idx == 0:
# ── QR scan-to-configure ──
@@ -3514,6 +3491,8 @@ def _setup_qqbot():
print()
print_warning(" QQ Bot setup cancelled.")
return
if credentials:
used_qr = True
if not credentials:
print_info(" QR setup did not complete. Continuing with manual input.")
+2 -1
View File
@@ -19,8 +19,9 @@ format) lives there.
from __future__ import annotations
import json
import os
from pathlib import Path
from typing import Any, Dict, List
from typing import Any, Dict, List, Optional
def hooks_command(args) -> None:
+83 -684
View File
File diff suppressed because it is too large Load Diff
+2 -2
View File
@@ -46,6 +46,7 @@ from __future__ import annotations
import json
import logging
import os
import time
import urllib.error
import urllib.request
@@ -53,7 +54,6 @@ from pathlib import Path
from typing import Any
from hermes_cli import __version__ as _HERMES_VERSION
from utils import atomic_replace
logger = logging.getLogger(__name__)
@@ -190,7 +190,7 @@ def _write_disk_cache(data: dict[str, Any]) -> None:
with open(tmp, "w") as fh:
json.dump(data, fh, indent=2)
fh.write("\n")
atomic_replace(tmp, path)
os.replace(tmp, path)
except OSError as exc:
logger.info("model catalog cache write failed: %s", exc)
+6 -84
View File
@@ -213,15 +213,10 @@ def _load_direct_aliases() -> dict[str, DirectAlias]:
def _ensure_direct_aliases() -> None:
"""Lazy-load direct aliases on first use.
Mutates the existing DIRECT_ALIASES dict in place rather than rebinding
the module attribute. This keeps `from hermes_cli.model_switch import
DIRECT_ALIASES` references valid in callers rebinding would leave them
pointing at a stale empty dict.
"""
"""Lazy-load direct aliases on first use."""
global DIRECT_ALIASES
if not DIRECT_ALIASES:
DIRECT_ALIASES.update(_load_direct_aliases())
DIRECT_ALIASES = _load_direct_aliases()
# ---------------------------------------------------------------------------
@@ -984,7 +979,6 @@ def list_authenticated_providers(
user_providers: dict = None,
custom_providers: list | None = None,
max_models: int = 8,
current_model: str = "",
) -> List[dict]:
"""Detect which providers have credentials and list their curated models.
@@ -1031,34 +1025,6 @@ def list_authenticated_providers(
if "ollama-cloud" not in curated:
from hermes_cli.models import fetch_ollama_cloud_models
curated["ollama-cloud"] = fetch_ollama_cloud_models()
# LM Studio has no static catalog — probe its native /api/v1/models
# endpoint live so the picker reflects whatever the user has loaded.
# Base URL precedence: LM_BASE_URL env var > active config's base_url
# (when current provider is lmstudio) > 127.0.0.1 default.
# On auth rejection or unreachable server, fall back to the caller-supplied
# current model so the picker still shows something when offline / mis-keyed.
if "lmstudio" not in curated and (
os.environ.get("LM_API_KEY") or os.environ.get("LM_BASE_URL") or current_provider.strip().lower() == "lmstudio"
):
from hermes_cli.models import fetch_lmstudio_models
from hermes_cli.auth import AuthError
is_current_lmstudio = current_provider.strip().lower() == "lmstudio"
lm_base = (
os.environ.get("LM_BASE_URL")
or (current_base_url if is_current_lmstudio and current_base_url else None)
or "http://127.0.0.1:1234/v1"
)
try:
live = fetch_lmstudio_models(
api_key=os.environ.get("LM_API_KEY", ""),
base_url=lm_base,
timeout=1.5, # Smaller timeout for picker
)
except AuthError:
live = []
if not live and is_current_lmstudio and current_model:
live = [current_model]
curated["lmstudio"] = live
# --- 1. Check Hermes-mapped providers ---
for hermes_id, mdev_id in PROVIDER_TO_MODELS_DEV.items():
@@ -1209,15 +1175,6 @@ def list_authenticated_providers(
if hermes_slug in {"copilot", "copilot-acp"}:
model_ids = provider_model_ids(hermes_slug)
# For aws_sdk providers (bedrock), use live discovery so the list
# reflects the active region (eu.*, ap.*) not the static us.* list.
elif overlay.auth_type == "aws_sdk":
try:
from agent.bedrock_adapter import bedrock_model_ids_or_none
_ids = bedrock_model_ids_or_none()
model_ids = _ids if _ids is not None else (curated.get(hermes_slug, []) or curated.get(pid, []))
except Exception:
model_ids = curated.get(hermes_slug, []) or curated.get(pid, [])
else:
# Use curated list — look up by Hermes slug, fall back to overlay key
model_ids = curated.get(hermes_slug, []) or curated.get(pid, [])
@@ -1280,30 +1237,10 @@ def list_authenticated_providers(
except Exception:
pass
# Special case: aws_sdk auth (bedrock) — no API key env vars,
# credentials come from the boto3 credential chain (env vars,
# ~/.aws/credentials, instance roles, etc.)
if not _cp_has_creds and _cp_config and getattr(_cp_config, "auth_type", "") == "aws_sdk":
try:
from agent.bedrock_adapter import has_aws_credentials
_cp_has_creds = has_aws_credentials()
except Exception:
pass
if not _cp_has_creds:
continue
# For bedrock, use live discovery so the list reflects the active
# region (eu.*, us.*, ap.*) instead of the hardcoded us.* static list.
if _cp_config and getattr(_cp_config, "auth_type", "") == "aws_sdk":
try:
from agent.bedrock_adapter import bedrock_model_ids_or_none
_ids = bedrock_model_ids_or_none()
_cp_model_ids = _ids if _ids is not None else curated.get(_cp.slug, [])
except Exception:
_cp_model_ids = curated.get(_cp.slug, [])
else:
_cp_model_ids = curated.get(_cp.slug, [])
_cp_model_ids = curated.get(_cp.slug, [])
_cp_total = len(_cp_model_ids)
_cp_top = _cp_model_ids[:max_models]
@@ -1375,23 +1312,8 @@ def list_authenticated_providers(
if fb:
models_list = list(fb)
# Prefer the endpoint's live /models list when credentials are
# available. This keeps OpenAI-compatible relays (for example CRS)
# in sync when the server catalog changes without requiring the
# user to mirror every model into config.yaml.
api_key = str(ep_cfg.get("api_key", "") or "").strip()
if not api_key:
key_env = str(ep_cfg.get("key_env", "") or "").strip()
api_key = os.environ.get(key_env, "").strip() if key_env else ""
if api_url and api_key:
try:
from hermes_cli.models import fetch_api_models
live_models = fetch_api_models(api_key, api_url)
if live_models:
models_list = live_models
except Exception:
pass
# Try to probe /v1/models if URL is set (but don't block on it)
# For now just show what we know from config
results.append({
"slug": ep_name,
"name": display_name,
+42 -483
View File
@@ -33,6 +33,8 @@ COPILOT_REASONING_EFFORTS_O_SERIES = ["low", "medium", "high"]
# (model_id, display description shown in menus)
OPENROUTER_MODELS: list[tuple[str, str]] = [
("moonshotai/kimi-k2.6", "recommended"),
("deepseek/deepseek-v4-pro", ""),
("deepseek/deepseek-v4-flash", ""),
("anthropic/claude-opus-4.7", ""),
("anthropic/claude-opus-4.6", ""),
("anthropic/claude-sonnet-4.6", ""),
@@ -44,7 +46,6 @@ OPENROUTER_MODELS: list[tuple[str, str]] = [
("openai/gpt-5.4-mini", ""),
("xiaomi/mimo-v2.5-pro", ""),
("xiaomi/mimo-v2.5", ""),
("tencent/hy3-preview:free", "free"),
("openai/gpt-5.3-codex", ""),
("google/gemini-3-pro-image-preview", ""),
("google/gemini-3-flash-preview", ""),
@@ -107,57 +108,13 @@ def _codex_curated_models() -> list[str]:
return _add_forward_compat_models(list(DEFAULT_CODEX_MODELS))
# Static fallback for xAI when the models.dev disk cache is empty (fresh
# install, offline first run, etc.). Mirrors the xAI-direct model IDs from
# $HERMES_HOME/models_dev_cache.json as of 2026-04-28. Whenever xAI renames
# or retires a model, the disk cache picks it up on the next refresh and the
# fallback here only matters until that refresh lands.
_XAI_STATIC_FALLBACK: list[str] = [
"grok-4.20-0309-reasoning",
"grok-4.20-0309-non-reasoning",
"grok-4.20-multi-agent-0309",
"grok-4-1-fast",
"grok-4-1-fast-non-reasoning",
"grok-4-fast",
"grok-4-fast-non-reasoning",
"grok-4",
"grok-code-fast-1",
]
def _xai_curated_models() -> list[str]:
"""Derive the xAI-direct curated list from models.dev disk cache.
Reads $HERMES_HOME/models_dev_cache.json directly (no network) so this
runs at import time without blocking. Falls back to ``_XAI_STATIC_FALLBACK``
when the cache is empty or unreadable. Hermes refreshes the cache from
https://models.dev/api.json on normal use, so this list self-heals as
xAI renames models.
Mirrors ``_codex_curated_models()``'s role for openai-codex.
"""
try:
from agent.models_dev import _load_disk_cache
data = _load_disk_cache()
xai = data.get("xai") if isinstance(data, dict) else None
models = xai.get("models") if isinstance(xai, dict) else None
if isinstance(models, dict) and models:
ids = [mid for mid in models.keys() if isinstance(mid, str)]
if ids:
return sorted(ids)
except Exception:
# Any failure (missing file, malformed JSON, import error)
# falls through to the static list.
pass
return list(_XAI_STATIC_FALLBACK)
_PROVIDER_MODELS: dict[str, list[str]] = {
"nous": [
"moonshotai/kimi-k2.6",
"deepseek/deepseek-v4-pro",
"deepseek/deepseek-v4-flash",
"xiaomi/mimo-v2.5-pro",
"xiaomi/mimo-v2.5",
"tencent/hy3-preview",
"anthropic/claude-opus-4.7",
"anthropic/claude-opus-4.6",
"anthropic/claude-sonnet-4.6",
@@ -240,7 +197,10 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"glm-4.5",
"glm-4.5-flash",
],
"xai": _xai_curated_models(),
"xai": [
"grok-4.20-reasoning",
"grok-4-1-fast-reasoning",
],
"nvidia": [
# NVIDIA flagship reasoning models
"nvidia/nemotron-3-super-120b-a12b",
@@ -317,22 +277,11 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"mimo-v2-omni",
"mimo-v2-flash",
],
"tencent-tokenhub": [
"hy3-preview",
],
"arcee": [
"trinity-large-thinking",
"trinity-large-preview",
"trinity-mini",
],
"gmi": [
"zai-org/GLM-5.1-FP8",
"deepseek-ai/DeepSeek-V3.2",
"moonshotai/Kimi-K2.5",
"google/gemini-3.1-flash-lite-preview",
"anthropic/claude-sonnet-4.6",
"openai/gpt-5.4",
],
"opencode-zen": [
"kimi-k2.5",
"gpt-5.4-pro",
@@ -397,7 +346,6 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
# to https://dashscope-intl.aliyuncs.com/compatible-mode/v1 (OpenAI-compat)
# or https://dashscope-intl.aliyuncs.com/apps/anthropic (Anthropic-compat).
"alibaba": [
"qwen3.6-plus",
"kimi-k2.5",
"qwen3.5-plus",
"qwen3-coder-plus",
@@ -765,15 +713,14 @@ class ProviderEntry(NamedTuple):
label: str
tui_desc: str # detailed description for `hermes model` TUI
CANONICAL_PROVIDERS: list[ProviderEntry] = [
ProviderEntry("nous", "Nous Portal", "Nous Portal (Nous Research subscription)"),
ProviderEntry("openrouter", "OpenRouter", "OpenRouter (100+ models, pay-per-use)"),
ProviderEntry("lmstudio", "LM Studio", "LM Studio (local desktop app with built-in model server)"),
ProviderEntry("ai-gateway", "Vercel AI Gateway", "Vercel AI Gateway (200+ models, $5 free credit, no markup)"),
ProviderEntry("anthropic", "Anthropic", "Anthropic (Claude models — API key or Claude Code)"),
ProviderEntry("openai-codex", "OpenAI Codex", "OpenAI Codex"),
ProviderEntry("xiaomi", "Xiaomi MiMo", "Xiaomi MiMo (MiMo-V2.5 and V2 models — pro, omni, flash)"),
ProviderEntry("tencent-tokenhub", "Tencent TokenHub", "Tencent TokenHub (Hy3 Preview — direct API via tokenhub.tencentmaas.com)"),
ProviderEntry("nvidia", "NVIDIA NIM", "NVIDIA NIM (Nemotron models — build.nvidia.com or local NIM)"),
ProviderEntry("qwen-oauth", "Qwen OAuth (Portal)", "Qwen OAuth (reuses local Qwen CLI login)"),
ProviderEntry("copilot", "GitHub Copilot", "GitHub Copilot (uses GITHUB_TOKEN or gh auth token)"),
@@ -792,7 +739,6 @@ CANONICAL_PROVIDERS: list[ProviderEntry] = [
ProviderEntry("alibaba", "Alibaba Cloud (DashScope)","Alibaba Cloud / DashScope Coding (Qwen + multi-provider)"),
ProviderEntry("ollama-cloud", "Ollama Cloud", "Ollama Cloud (cloud-hosted open models — ollama.com)"),
ProviderEntry("arcee", "Arcee AI", "Arcee AI (Trinity models — direct API)"),
ProviderEntry("gmi", "GMI Cloud", "GMI Cloud (multi-model direct API)"),
ProviderEntry("kilocode", "Kilo Code", "Kilo Code (Kilo Gateway API)"),
ProviderEntry("opencode-zen", "OpenCode Zen", "OpenCode Zen (35+ curated models, pay-as-you-go)"),
ProviderEntry("opencode-go", "OpenCode Go", "OpenCode Go (open models, $10/month subscription)"),
@@ -827,8 +773,6 @@ _PROVIDER_ALIASES = {
"stepfun-coding-plan": "stepfun",
"arcee-ai": "arcee",
"arceeai": "arcee",
"gmi-cloud": "gmi",
"gmicloud": "gmi",
"minimax-china": "minimax-cn",
"minimax_cn": "minimax-cn",
"claude": "anthropic",
@@ -856,10 +800,6 @@ _PROVIDER_ALIASES = {
"huggingface-hub": "huggingface",
"mimo": "xiaomi",
"xiaomi-mimo": "xiaomi",
"tencent": "tencent-tokenhub",
"tokenhub": "tencent-tokenhub",
"tencent-cloud": "tencent-tokenhub",
"tencentmaas": "tencent-tokenhub",
"aws": "bedrock",
"aws-bedrock": "bedrock",
"amazon-bedrock": "bedrock",
@@ -871,9 +811,6 @@ _PROVIDER_ALIASES = {
"nvidia-nim": "nvidia",
"build-nvidia": "nvidia",
"nemotron": "nvidia",
"lmstudio": "lmstudio",
"lm-studio": "lmstudio",
"lm_studio": "lmstudio",
"ollama": "custom", # bare "ollama" = local; use "ollama-cloud" for cloud
"ollama_cloud": "ollama-cloud",
}
@@ -1680,41 +1617,31 @@ def provider_label(provider: Optional[str]) -> str:
# Models that support OpenAI Priority Processing (service_tier="priority").
# See https://openai.com/api-priority-processing/ for the canonical list.
#
# Pattern-based matching — any OpenAI flagship model (gpt-*, o1*, o3*, o4*)
# is assumed to support Priority Processing. service_tier=priority is silently
# ignored by non-OpenAI endpoints (OpenRouter/Copilot/opencode-zen proxies
# strip the field), so false positives are harmless. Codex-series models
# (gpt-5-codex, gpt-5.3-codex, etc.) are excluded — they don't expose the
# service_tier parameter through the Codex Responses API.
_OPENAI_FAST_MODE_PREFIXES: tuple[str, ...] = (
"gpt-",
"o1",
# Only the bare model slug is stored (no vendor prefix).
_PRIORITY_PROCESSING_MODELS: frozenset[str] = frozenset({
"gpt-5.4",
"gpt-5.4-mini",
"gpt-5.2",
"gpt-5.1",
"gpt-5",
"gpt-5-mini",
"gpt-4.1",
"gpt-4.1-mini",
"gpt-4.1-nano",
"gpt-4o",
"gpt-4o-mini",
"o3",
"o4",
)
def _is_openai_fast_model(model_id: Optional[str]) -> bool:
"""Return True if the model is an OpenAI flagship eligible for Priority Processing."""
raw = _strip_vendor_prefix(str(model_id or ""))
base = raw.split(":")[0]
if not base:
return False
# Exclude Codex-series — they route through the Codex Responses API
# which doesn't accept service_tier.
if "codex" in base:
return False
return any(base.startswith(prefix) for prefix in _OPENAI_FAST_MODE_PREFIXES)
"o4-mini",
})
# Models that support Anthropic Fast Mode (speed="fast").
# See https://platform.claude.com/docs/en/build-with-claude/fast-mode
#
# Pattern-based matching — any claude-* model is eligible. The anthropic
# adapter gates speed=fast on native Anthropic endpoints only (see
# _is_third_party_anthropic_endpoint in agent/anthropic_adapter.py), so
# third-party proxies that would reject the beta header are protected.
# Currently only Claude Opus 4.6. Both hyphen and dot variants are stored
# to handle native Anthropic (claude-opus-4-6) and OpenRouter (claude-opus-4.6).
_ANTHROPIC_FAST_MODE_MODELS: frozenset[str] = frozenset({
"claude-opus-4-6",
"claude-opus-4.6",
})
def _strip_vendor_prefix(model_id: str) -> str:
@@ -1727,14 +1654,20 @@ def _strip_vendor_prefix(model_id: str) -> str:
def model_supports_fast_mode(model_id: Optional[str]) -> bool:
"""Return whether Hermes should expose the /fast toggle for this model."""
return _is_anthropic_fast_model(model_id) or _is_openai_fast_model(model_id)
raw = _strip_vendor_prefix(str(model_id or ""))
if raw in _PRIORITY_PROCESSING_MODELS:
return True
# Anthropic fast mode — strip date suffixes (e.g. claude-opus-4-6-20260401)
# and OpenRouter variant tags (:fast, :beta) for matching.
base = raw.split(":")[0]
return base in _ANTHROPIC_FAST_MODE_MODELS
def _is_anthropic_fast_model(model_id: Optional[str]) -> bool:
"""Return True if the model is a Claude model eligible for Anthropic Fast Mode."""
"""Return True if the model supports Anthropic's fast mode (speed='fast')."""
raw = _strip_vendor_prefix(str(model_id or ""))
base = raw.split(":")[0]
return base.startswith("claude-")
return base in _ANTHROPIC_FAST_MODE_MODELS
def resolve_fast_mode_overrides(model_id: Optional[str]) -> dict[str, Any] | None:
@@ -1756,61 +1689,14 @@ def resolve_fast_mode_overrides(model_id: Optional[str]) -> dict[str, Any] | Non
def _resolve_copilot_catalog_api_key() -> str:
"""Best-effort GitHub token for fetching the Copilot model catalog.
Resolution order:
1. ``resolve_api_key_provider_credentials("copilot")`` env vars
(``COPILOT_GITHUB_TOKEN`` / ``GH_TOKEN`` / ``GITHUB_TOKEN``) plus
the ``gh auth token`` CLI fallback.
2. ``read_credential_pool("copilot")`` a token (typically a
``gho_*`` from device-code login, or a fine-grained PAT) stored in
``auth.json`` under ``credential_pool.copilot[]``. The pool is
populated by ``hermes auth add copilot`` and by ``_seed_from_env``
when the env var is set in ``~/.hermes/.env``.
Without (2), users whose only Copilot credential is in the pool see
the ``/model`` picker fall back to a stale hardcoded list because the
live catalog fetch silently 401s. To avoid wedging on a malformed pool
entry, each candidate is exchanged via ``exchange_copilot_token``
only entries that actually exchange successfully are returned, so a
later valid entry is reachable when an earlier one is unsupported.
"""
"""Best-effort GitHub token for fetching the Copilot model catalog."""
try:
from hermes_cli.auth import resolve_api_key_provider_credentials
creds = resolve_api_key_provider_credentials("copilot")
api_key = str(creds.get("api_key") or "").strip()
if api_key:
return api_key
return str(creds.get("api_key") or "").strip()
except Exception:
pass
try:
from hermes_cli.auth import read_credential_pool
from hermes_cli.copilot_auth import (
exchange_copilot_token,
validate_copilot_token,
)
for entry in read_credential_pool("copilot"):
if not isinstance(entry, dict):
continue
raw = str(entry.get("access_token") or "").strip()
if not raw:
continue
valid, _ = validate_copilot_token(raw)
if not valid:
continue
try:
api_token, _expires_at = exchange_copilot_token(raw)
except Exception:
continue
if api_token:
return api_token
except Exception:
pass
return ""
return ""
# Providers where models.dev is treated as authoritative: curated static
@@ -1967,19 +1853,6 @@ def provider_model_ids(provider: Optional[str], *, force_refresh: bool = False)
return live
except Exception:
pass
if normalized == "gmi":
try:
from hermes_cli.auth import resolve_api_key_provider_credentials
creds = resolve_api_key_provider_credentials("gmi")
api_key = str(creds.get("api_key") or "").strip()
base_url = str(creds.get("base_url") or "").strip()
if api_key and base_url:
live = fetch_api_models(api_key, base_url)
if live:
return live
except Exception:
pass
if normalized == "custom":
base_url = _get_custom_base_url()
if base_url:
@@ -1992,18 +1865,6 @@ def provider_model_ids(provider: Optional[str], *, force_refresh: bool = False)
live = fetch_api_models(api_key, base_url)
if live:
return live
# Bedrock uses live discovery keyed by the resolved AWS region so that
# EU/AP users see eu.*/ap.* model IDs instead of the static us.* list.
# Note: early return intentionally skips _MODELS_DEV_PREFERRED merge
# below — bedrock is not expected to appear in that table.
if normalized == "bedrock":
try:
from agent.bedrock_adapter import bedrock_model_ids_or_none
ids = bedrock_model_ids_or_none()
if ids is not None:
return ids
except Exception:
pass
curated_static = list(_PROVIDER_MODELS.get(normalized, []))
if normalized in _MODELS_DEV_PREFERRED:
return _merge_with_models_dev(normalized, curated_static)
@@ -2199,228 +2060,6 @@ def _is_github_models_base_url(base_url: Optional[str]) -> bool:
)
def _lmstudio_server_root(base_url: Optional[str]) -> Optional[str]:
"""Strip ``/v1`` suffix from an LM Studio base URL to get the native API root.
Returns ``None`` when the base URL is empty/invalid.
"""
root = (base_url or "").strip().rstrip("/")
if root.endswith("/v1"):
root = root[:-3].rstrip("/")
return root or None
def _lmstudio_request_headers(api_key: Optional[str] = None) -> dict:
"""Build HTTP headers for LM Studio native API requests."""
headers = {"User-Agent": _HERMES_USER_AGENT}
token = str(api_key or "").strip()
if token:
headers["Authorization"] = f"Bearer {token}"
return headers
def _lmstudio_fetch_raw_models(
api_key: Optional[str] = None,
base_url: Optional[str] = None,
timeout: float = 5.0,
) -> Optional[list[dict]]:
"""Fetch the raw model list from LM Studio's ``/api/v1/models``.
Returns the ``models`` list of dicts on success, ``None`` on network
errors or malformed responses. Raises ``AuthError`` on HTTP 401/403.
"""
server_root = _lmstudio_server_root(base_url)
if not server_root:
return None
headers = _lmstudio_request_headers(api_key)
request = urllib.request.Request(server_root + "/api/v1/models", headers=headers)
try:
with urllib.request.urlopen(request, timeout=timeout) as resp:
payload = json.loads(resp.read().decode())
except urllib.error.HTTPError as exc:
if exc.code in (401, 403):
from hermes_cli.auth import AuthError
raise AuthError(
f"LM Studio rejected the request with HTTP {exc.code}.",
provider="lmstudio",
code="auth_rejected",
) from exc
import logging
logging.getLogger(__name__).debug(
"LM Studio probe at %s failed with HTTP %s", server_root, exc.code,
)
return None
except Exception as exc:
import logging
logging.getLogger(__name__).debug(
"LM Studio probe at %s failed: %s", server_root, exc,
)
return None
raw_models = payload.get("models") if isinstance(payload, dict) else None
if not isinstance(raw_models, list):
import logging
logging.getLogger(__name__).debug(
"LM Studio probe at %s returned malformed payload (no `models` list)",
server_root,
)
return None
return raw_models
def probe_lmstudio_models(
api_key: Optional[str] = None,
base_url: Optional[str] = None,
timeout: float = 5.0,
) -> Optional[list[str]]:
"""Probe LM Studio's model listing.
Returns chat-capable model keys on success, including the valid empty-list
case when the server is reachable but has no non-embedding models.
Returns ``None`` on network errors, malformed responses, or empty/invalid
base URLs.
Raises ``AuthError`` on HTTP 401/403 so callers can surface token issues
separately from reachability problems.
"""
raw_models = _lmstudio_fetch_raw_models(api_key=api_key, base_url=base_url, timeout=timeout)
if raw_models is None:
return None
keys: list[str] = []
for raw in raw_models:
if not isinstance(raw, dict):
continue
if str(raw.get("type") or "").strip().lower() == "embedding":
continue
key = str(raw.get("key") or raw.get("id") or "").strip()
if key and key not in keys:
keys.append(key)
return keys
def fetch_lmstudio_models(
api_key: Optional[str] = None,
base_url: Optional[str] = None,
timeout: float = 5.0,
) -> list[str]:
"""Fetch LM Studio chat-capable model keys from native ``/api/v1/models``.
Returns a list of model keys (e.g. ``publisher/model-name``) with embedding
models filtered out. Returns an empty list on network errors, malformed
responses, or empty/invalid base URLs.
Raises ``AuthError`` on HTTP 401/403 so callers can distinguish a missing
or wrong ``LM_API_KEY`` from an unreachable server the most common
LM Studio support case once auth-enabled mode is turned on.
"""
models = probe_lmstudio_models(api_key=api_key, base_url=base_url, timeout=timeout)
return models or []
def ensure_lmstudio_model_loaded(
model: str,
base_url: Optional[str],
api_key: Optional[str],
target_context_length: int,
timeout: float = 120.0,
) -> Optional[int]:
"""Ensure LM Studio has ``model`` loaded with at least ``target_context_length``.
No-op when an instance is already loaded with sufficient context. Otherwise
POSTs ``/api/v1/models/load`` to (re)load with the target context, capped
at the model's ``max_context_length``. Returns the resolved loaded context
length, or ``None`` when the probe / load failed.
"""
server_root = _lmstudio_server_root(base_url)
if not server_root:
return None
headers = _lmstudio_request_headers(api_key)
try:
raw_models = _lmstudio_fetch_raw_models(api_key=api_key, base_url=base_url, timeout=10)
except Exception:
raw_models = None
if raw_models is None:
return None
target_entry = None
for raw in raw_models:
if not isinstance(raw, dict):
continue
if raw.get("key") == model or raw.get("id") == model:
target_entry = raw
break
if target_entry is None:
return None
max_ctx = target_entry.get("max_context_length")
if isinstance(max_ctx, int) and max_ctx > 0:
target_context_length = min(target_context_length, max_ctx)
for inst in target_entry.get("loaded_instances") or []:
cfg = inst.get("config") if isinstance(inst, dict) else None
loaded_ctx = cfg.get("context_length") if isinstance(cfg, dict) else None
if isinstance(loaded_ctx, int) and loaded_ctx >= target_context_length:
return loaded_ctx
body = json.dumps({
"model": model,
"context_length": target_context_length,
}).encode()
load_headers = dict(headers)
load_headers["Content-Type"] = "application/json"
try:
with urllib.request.urlopen(
urllib.request.Request(
server_root + "/api/v1/models/load",
data=body,
headers=load_headers,
method="POST",
),
timeout=timeout,
) as resp:
resp.read()
except Exception:
return None
return target_context_length
def lmstudio_model_reasoning_options(
model: str,
base_url: Optional[str],
api_key: Optional[str] = None,
timeout: float = 5.0,
) -> list[str]:
"""Return the reasoning ``allowed_options`` LM Studio publishes for ``model``.
Pulls ``capabilities.reasoning.allowed_options`` from ``/api/v1/models``.
Returns ``[]`` when the model is unknown, the endpoint is unreachable,
or the model does not declare a reasoning capability.
"""
try:
raw_models = _lmstudio_fetch_raw_models(api_key=api_key, base_url=base_url, timeout=timeout)
except Exception:
raw_models = None
if not raw_models:
return []
for raw in raw_models:
if not isinstance(raw, dict):
continue
if raw.get("key") != model and raw.get("id") != model:
continue
caps = raw.get("capabilities")
reasoning = caps.get("reasoning") if isinstance(caps, dict) else None
opts = reasoning.get("allowed_options") if isinstance(reasoning, dict) else None
if isinstance(opts, list):
return [str(o).strip().lower() for o in opts if isinstance(o, str)]
return []
return []
def _fetch_github_models(api_key: Optional[str] = None, timeout: float = 5.0) -> Optional[list[str]]:
catalog = fetch_github_model_catalog(api_key=api_key, timeout=timeout)
if not catalog:
@@ -2591,52 +2230,6 @@ def copilot_model_api_mode(
return "chat_completions"
# Azure Foundry model families that require the Responses API. Azure
# rejects /chat/completions against these deployments with
# ``400 "The requested operation is unsupported."`` — the same payload Bob
# Dobolina hit in April 2026 on ``gpt-5.3-codex`` while ``gpt-4o-pure`` on
# the same endpoint worked fine. Keep the patterns broad enough to cover
# vendor-renamed deployments (e.g. ``gpt-5.3-codex``, ``gpt-5-codex``,
# ``gpt-5.4``, ``o1-preview``) but tight enough to leave GPT-4 / 3.5 / Llama /
# Mistral / Grok deployments on chat completions.
_AZURE_FOUNDRY_RESPONSES_PREFIXES = (
"codex", # codex-*, codex-mini
"gpt-5", # gpt-5, gpt-5.x, gpt-5-codex, gpt-5.x-codex
"o1", # o1, o1-preview, o1-mini
"o3", # o3, o3-mini
"o4", # o4, o4-mini
)
def azure_foundry_model_api_mode(model_name: Optional[str]) -> Optional[str]:
"""Infer Azure Foundry api_mode from a deployment/model name.
Returns ``"codex_responses"`` when the model name matches a family that
only accepts the Responses API on Azure Foundry (GPT-5.x, codex, o1/o3/o4
reasoning models). Returns ``None`` otherwise the caller should fall
back to the configured/default api_mode (typically ``chat_completions``)
so GPT-4o, GPT-4 Turbo, Llama, Mistral, etc. keep working.
Intentionally does NOT return ``anthropic_messages``; Anthropic-style
Azure endpoints are disambiguated by URL (``/anthropic`` suffix) in
``runtime_provider._detect_api_mode_for_url`` and by the user setting
``model.api_mode: anthropic_messages`` explicitly.
"""
raw = str(model_name or "").strip().lower()
if not raw:
return None
# Strip any vendor/ prefix a user may have copied from OpenRouter / Copilot.
if "/" in raw:
raw = raw.rsplit("/", 1)[-1]
# gpt-5-mini speaks chat completions on Copilot but Azure Foundry deploys
# the full gpt-5 family uniformly on Responses API — don't carve an
# exception here.
for prefix in _AZURE_FOUNDRY_RESPONSES_PREFIXES:
if raw.startswith(prefix):
return "codex_responses"
return None
def normalize_opencode_model_id(provider_id: Optional[str], model_id: Optional[str]) -> str:
"""Normalize OpenCode config IDs to the bare model slug used in API requests."""
provider = normalize_provider(provider_id)
@@ -3016,40 +2609,6 @@ def validate_requested_model(
"message": "Model names cannot contain spaces.",
}
if normalized == "lmstudio":
from hermes_cli.auth import AuthError
# Use probe_lmstudio_models so we can distinguish None (unreachable
# / malformed response) from [] (reachable, but no chat-capable models
# are loaded). fetch_lmstudio_models collapses both to [].
try:
models = probe_lmstudio_models(api_key=api_key, base_url=base_url)
except AuthError as exc:
return {
"accepted": False, "persist": False, "recognized": False,
"message": (
f"{exc} Set `LM_API_KEY` (or update it) to match the server's bearer token."
),
}
if models is None:
return {
"accepted": False, "persist": False, "recognized": False,
"message": f"Could not reach LM Studio's `/api/v1/models` to validate `{requested}`.",
}
if not models:
return {
"accepted": False, "persist": False, "recognized": False,
"message": (
f"LM Studio is reachable but no chat-capable models are loaded. "
f"Load `{requested}` in LM Studio (Developer tab → Load Model) and try again."
),
}
if requested_for_lookup in set(models):
return {"accepted": True, "persist": True, "recognized": True, "message": None}
return {
"accepted": False, "persist": False, "recognized": False,
"message": f"Model `{requested}` was not found in LM Studio's model listing.",
}
if normalized == "custom":
# Try probing with correct auth for the api_mode.
if api_mode == "anthropic_messages":
+8 -16
View File
@@ -9,7 +9,6 @@ from typing import Dict, Iterable, Optional, Set
from hermes_cli.auth import get_nous_auth_status
from hermes_cli.config import get_env_value, load_config
from tools.managed_tool_gateway import is_managed_tool_gateway_ready
from utils import is_truthy_value
from tools.tool_backend_helpers import (
fal_key_is_configured,
has_direct_modal_credentials,
@@ -26,13 +25,6 @@ _DEFAULT_PLATFORM_TOOLSETS = {
}
def _uses_gateway(section: object) -> bool:
"""Return True when a config section explicitly opts into the gateway."""
if not isinstance(section, dict):
return False
return is_truthy_value(section.get("use_gateway"), default=False)
@dataclass(frozen=True)
class NousFeatureState:
key: str
@@ -270,11 +262,11 @@ def get_nous_subscription_features(
# use_gateway flags — when True, the user explicitly opted into the
# Tool Gateway via `hermes model`, so direct credentials should NOT
# prevent gateway routing.
web_use_gateway = _uses_gateway(web_cfg)
tts_use_gateway = _uses_gateway(tts_cfg)
browser_use_gateway = _uses_gateway(browser_cfg)
web_use_gateway = bool(web_cfg.get("use_gateway"))
tts_use_gateway = bool(tts_cfg.get("use_gateway"))
browser_use_gateway = bool(browser_cfg.get("use_gateway"))
image_gen_cfg = config.get("image_gen") if isinstance(config.get("image_gen"), dict) else {}
image_use_gateway = _uses_gateway(image_gen_cfg)
image_use_gateway = bool(image_gen_cfg.get("use_gateway"))
direct_exa = bool(get_env_value("EXA_API_KEY"))
direct_firecrawl = bool(get_env_value("FIRECRAWL_API_KEY") or get_env_value("FIRECRAWL_API_URL"))
@@ -609,10 +601,10 @@ def get_gateway_eligible_tools(
# no direct keys exist — we only skip the prompt for tools where
# use_gateway was explicitly set.
opted_in = {
"web": _uses_gateway(config.get("web")),
"image_gen": _uses_gateway(config.get("image_gen")),
"tts": _uses_gateway(config.get("tts")),
"browser": _uses_gateway(config.get("browser")),
"web": bool((config.get("web") if isinstance(config.get("web"), dict) else {}).get("use_gateway")),
"image_gen": bool((config.get("image_gen") if isinstance(config.get("image_gen"), dict) else {}).get("use_gateway")),
"tts": bool((config.get("tts") if isinstance(config.get("tts"), dict) else {}).get("use_gateway")),
"browser": bool((config.get("browser") if isinstance(config.get("browser"), dict) else {}).get("use_gateway")),
}
unconfigured: list[str] = []
+11 -28
View File
@@ -128,44 +128,27 @@ def _run_agent(
# the user's configured default provider, which may not host the model
# the caller just asked for.
effective_provider = (provider or "").strip() or None
explicit_base_url_from_alias: Optional[str] = None
if effective_provider is None and (model or env_model):
# Only auto-detect when the model was explicitly requested via arg or
# env var (not when it came from config — that's the "use my defaults"
# path and the configured provider is already correct).
explicit_model = (model or "").strip() or env_model
if explicit_model:
# First check DIRECT_ALIASES populated from config.yaml `model_aliases:`.
# These map a user-defined alias to (model, provider, base_url) for
# endpoints not in any catalog (local servers, custom proxies, etc.).
try:
from hermes_cli import model_switch as _ms
_ms._ensure_direct_aliases()
direct = _ms.DIRECT_ALIASES.get(explicit_model.strip().lower())
except Exception:
direct = None
if direct is not None:
effective_model = direct.model
effective_provider = direct.provider
if direct.base_url:
explicit_base_url_from_alias = direct.base_url.rstrip("/")
else:
cfg_provider = ""
if isinstance(model_cfg, dict):
cfg_provider = str(model_cfg.get("provider") or "").strip().lower()
current_provider = (
cfg_provider
or os.getenv("HERMES_INFERENCE_PROVIDER", "").strip().lower()
or "auto"
)
detected = detect_provider_for_model(explicit_model, current_provider)
if detected:
effective_provider, effective_model = detected
cfg_provider = ""
if isinstance(model_cfg, dict):
cfg_provider = str(model_cfg.get("provider") or "").strip().lower()
current_provider = (
cfg_provider
or os.getenv("HERMES_INFERENCE_PROVIDER", "").strip().lower()
or "auto"
)
detected = detect_provider_for_model(explicit_model, current_provider)
if detected:
effective_provider, effective_model = detected
runtime = resolve_runtime_provider(
requested=effective_provider,
target_model=effective_model or None,
explicit_base_url=explicit_base_url_from_alias,
)
# Pull in whatever toolsets the user has enabled for "cli".
-1
View File
@@ -36,7 +36,6 @@ PLATFORMS: OrderedDict[str, PlatformInfo] = OrderedDict([
("wecom_callback", PlatformInfo(label="💬 WeCom Callback", default_toolset="hermes-wecom-callback")),
("weixin", PlatformInfo(label="💬 Weixin", default_toolset="hermes-weixin")),
("qqbot", PlatformInfo(label="💬 QQBot", default_toolset="hermes-qqbot")),
("yuanbao", PlatformInfo(label="🤖 Yuanbao", default_toolset="hermes-yuanbao")),
("webhook", PlatformInfo(label="🔗 Webhook", default_toolset="hermes-webhook")),
("api_server", PlatformInfo(label="🌐 API Server", default_toolset="hermes-api-server")),
("cron", PlatformInfo(label="⏰ Cron", default_toolset="hermes-cron")),
-14
View File
@@ -79,20 +79,6 @@ VALID_HOOKS: Set[str] = {
# {"action": "allow"} / None -> normal dispatch
# Kwargs: event: MessageEvent, gateway: GatewayRunner, session_store.
"pre_gateway_dispatch",
# Approval lifecycle hooks. Fired by tools/approval.py when a dangerous
# command needs user approval -- fires BOTH for CLI-interactive prompts
# and for gateway/ACP approvals (Telegram, Discord, Slack, TUI, etc.).
# Observers only: return values are ignored. Plugins cannot veto or
# pre-answer an approval from these hooks (use pre_tool_call to block
# a tool before it reaches approval).
#
# Kwargs for pre_approval_request:
# command: str, description: str, pattern_key: str, pattern_keys: list[str],
# session_key: str, surface: "cli" | "gateway"
# Kwargs for post_approval_response: same as above plus
# choice: "once" | "session" | "always" | "deny" | "timeout"
"pre_approval_request",
"post_approval_response",
}
ENTRY_POINTS_GROUP = "hermes_agent.plugins"
+1
View File
@@ -999,6 +999,7 @@ def _run_composite_ui(curses, plugin_names, plugin_labels, plugin_selected,
# We need to map logical cursor positions to screen rows
# accounting for non-navigable separator/headers
draw_row = 0 # tracks navigable item index
# --- General Plugins section ---
if n_plugins > 0:
+2 -58
View File
@@ -954,59 +954,6 @@ def import_profile(archive_path: str, name: Optional[str] = None) -> Path:
# Rename
# ---------------------------------------------------------------------------
def _migrate_honcho_profile_host(old_name: str, new_name: str, new_dir: Path) -> None:
"""Rename Honcho host blocks for a renamed profile without changing peers."""
old_host = f"hermes.{old_name}"
new_host = f"hermes.{new_name}"
candidates = [
new_dir / "honcho.json",
_get_default_hermes_home() / "honcho.json",
Path.home() / ".honcho" / "config.json",
]
seen: set[Path] = set()
for path in candidates:
try:
resolved = path.resolve()
except OSError:
resolved = path
if resolved in seen or not path.is_file():
continue
seen.add(resolved)
try:
raw = json.loads(path.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError):
continue
hosts = raw.get("hosts")
if not isinstance(hosts, dict) or old_host not in hosts:
continue
if new_host in hosts:
print(f"⚠ Honcho host block not migrated: {new_host} already exists in {path}")
continue
block = hosts[old_host]
if isinstance(block, dict) and "aiPeer" not in block:
bare = old_host.split(".", 1)[1] if "." in old_host else old_host
block["aiPeer"] = bare
hosts[new_host] = hosts.pop(old_host)
tmp = path.with_suffix(path.suffix + ".tmp")
try:
tmp.write_text(json.dumps(raw, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
tmp.replace(path)
except OSError:
try:
tmp.unlink(missing_ok=True)
except OSError:
pass
continue
print(f"✓ Honcho host updated: {old_host}{new_host}")
def rename_profile(old_name: str, new_name: str) -> Path:
"""Rename a profile: directory, wrapper script, service, active_profile.
@@ -1037,10 +984,7 @@ def rename_profile(old_name: str, new_name: str) -> Path:
old_dir.rename(new_dir)
print(f"✓ Renamed {old_dir.name}{new_dir.name}")
# 3. Update profile-scoped Honcho host blocks, preserving aiPeer identity
_migrate_honcho_profile_host(old_name, new_name, new_dir)
# 4. Update wrapper script
# 3. Update wrapper script
remove_wrapper_script(old_name)
collision = check_alias_collision(new_name)
if not collision:
@@ -1049,7 +993,7 @@ def rename_profile(old_name: str, new_name: str) -> Path:
else:
print(f"⚠ Cannot create alias '{new_name}'{collision}")
# 5. Update active_profile if it pointed to old name
# 4. Update active_profile if it pointed to old name
try:
if get_active_profile() == old_name:
set_active_profile(new_name)
-34
View File
@@ -71,13 +71,6 @@ HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
auth_type="oauth_external",
base_url_override="cloudcode-pa://google",
),
"lmstudio": HermesOverlay(
transport="openai_chat",
auth_type="api_key",
extra_env_vars=("LM_API_KEY",),
base_url_override="http://127.0.0.1:1234/v1",
base_url_env_var="LM_BASE_URL",
),
"copilot-acp": HermesOverlay(
transport="codex_responses",
auth_type="external_process",
@@ -165,21 +158,11 @@ HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
transport="openai_chat",
base_url_env_var="XIAOMI_BASE_URL",
),
"tencent-tokenhub": HermesOverlay(
transport="openai_chat",
base_url_env_var="TOKENHUB_BASE_URL",
),
"arcee": HermesOverlay(
transport="openai_chat",
base_url_override="https://api.arcee.ai/api/v1",
base_url_env_var="ARCEE_BASE_URL",
),
"gmi": HermesOverlay(
transport="openai_chat",
extra_env_vars=("GMI_API_KEY",),
base_url_override="https://api.gmi-serving.com/v1",
base_url_env_var="GMI_BASE_URL",
),
"ollama-cloud": HermesOverlay(
transport="openai_chat",
base_url_env_var="OLLAMA_BASE_URL",
@@ -190,10 +173,6 @@ HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
transport="openai_chat", # default; overridden by api_mode in config
base_url_env_var="AZURE_FOUNDRY_BASE_URL",
),
"bedrock": HermesOverlay(
transport="bedrock_converse",
auth_type="aws_sdk",
),
}
@@ -308,12 +287,6 @@ ALIASES: Dict[str, str] = {
"mimo": "xiaomi",
"xiaomi-mimo": "xiaomi",
# tencent
"tencent": "tencent-tokenhub",
"tokenhub": "tencent-tokenhub",
"tencent-cloud": "tencent-tokenhub",
"tencentmaas": "tencent-tokenhub",
# bedrock
"aws": "bedrock",
"aws-bedrock": "bedrock",
@@ -324,10 +297,6 @@ ALIASES: Dict[str, str] = {
"arcee-ai": "arcee",
"arceeai": "arcee",
# gmi
"gmi-cloud": "gmi",
"gmicloud": "gmi",
# Local server aliases → virtual "local" concept (resolved via user config)
"lmstudio": "lmstudio",
"lm-studio": "lmstudio",
@@ -350,9 +319,6 @@ _LABEL_OVERRIDES: Dict[str, str] = {
"copilot-acp": "GitHub Copilot ACP",
"stepfun": "StepFun Step Plan",
"xiaomi": "Xiaomi MiMo",
"gmi": "GMI Cloud",
"tencent-tokenhub": "Tencent TokenHub",
"lmstudio": "LM Studio",
"local": "Local endpoint",
"bedrock": "AWS Bedrock",
"ollama-cloud": "Ollama Cloud",
+14 -100
View File
@@ -231,19 +231,6 @@ def _resolve_runtime_from_pool_entry(
configured_mode = _parse_api_mode(model_cfg.get("api_mode"))
if configured_mode:
api_mode = configured_mode
# Model-family inference for GPT-5.x / codex / o1-o4: Azure rejects
# /chat/completions on these with 400 "operation unsupported" — see
# azure_foundry_model_api_mode() for rationale. Skip when the user
# explicitly picked anthropic_messages (Anthropic-style endpoint).
if effective_model and api_mode != "anthropic_messages":
try:
from hermes_cli.models import azure_foundry_model_api_mode
inferred = azure_foundry_model_api_mode(effective_model)
except Exception:
inferred = None
if inferred:
api_mode = inferred
# For Anthropic-style endpoints, strip /v1 suffix
if api_mode == "anthropic_messages":
base_url = re.sub(r"/v1/?$", "", base_url)
@@ -260,16 +247,11 @@ def _resolve_runtime_from_pool_entry(
if cfg_base_url:
base_url = cfg_base_url
configured_mode = _parse_api_mode(model_cfg.get("api_mode"))
if provider in ("opencode-zen", "opencode-go"):
# Re-derive api_mode from the effective model rather than the
# persisted api_mode: the opencode providers serve both
# anthropic_messages and chat_completions models, so the previous
# session's mode must not leak across /model switches.
# Refs #16878.
if configured_mode and _provider_supports_explicit_api_mode(provider, configured_provider):
api_mode = configured_mode
elif provider in ("opencode-zen", "opencode-go"):
from hermes_cli.models import opencode_model_api_mode
api_mode = opencode_model_api_mode(provider, effective_model)
elif configured_mode and _provider_supports_explicit_api_mode(provider, configured_provider):
api_mode = configured_mode
else:
# Auto-detect Anthropic-compatible endpoints (/anthropic suffix,
# Kimi /coding, api.openai.com → codex_responses, api.x.ai →
@@ -469,30 +451,6 @@ def _resolve_named_custom_runtime(
explicit_api_key: Optional[str] = None,
explicit_base_url: Optional[str] = None,
) -> Optional[Dict[str, Any]]:
# Bare `provider="custom"` with an explicit base_url (e.g. propagated
# from a `model_aliases:` direct-alias resolution) — build a runtime
# directly so the alias's base_url actually takes effect.
requested_norm = (requested_provider or "").strip().lower()
if requested_norm == "custom" and explicit_base_url:
base_url = explicit_base_url.strip().rstrip("/")
api_key_candidates = [
(explicit_api_key or "").strip(),
os.getenv("OPENAI_API_KEY", "").strip(),
os.getenv("OPENROUTER_API_KEY", "").strip(),
]
api_key = next(
(c for c in api_key_candidates if has_usable_secret(c)),
"",
) or "no-key-required"
return {
"provider": "custom",
"api_mode": _detect_api_mode_for_url(base_url) or "chat_completions",
"base_url": base_url,
"api_key": api_key,
"source": "direct-alias",
"requested_provider": requested_provider,
}
custom_provider = _get_named_custom_provider(requested_provider)
if not custom_provider:
return None
@@ -650,7 +608,6 @@ def _resolve_azure_foundry_runtime(
model_cfg: Dict[str, Any],
explicit_api_key: Optional[str] = None,
explicit_base_url: Optional[str] = None,
target_model: Optional[str] = None,
) -> Dict[str, Any]:
"""Resolve an Azure Foundry runtime entry.
@@ -671,22 +628,6 @@ def _resolve_azure_foundry_runtime(
cfg_base_url = str(model_cfg.get("base_url") or "").strip().rstrip("/")
cfg_api_mode = _parse_api_mode(model_cfg.get("api_mode")) or "chat_completions"
# Model-family inference: Azure Foundry deploys GPT-5.x / codex / o1-o4
# reasoning models as Responses-API-only. Calling /chat/completions
# against them returns 400 "The requested operation is unsupported."
# Upgrade api_mode when the model name matches, unless the user has
# explicitly chosen anthropic_messages (Anthropic-style endpoint).
effective_model = str(target_model or model_cfg.get("default") or "").strip()
if effective_model and cfg_api_mode != "anthropic_messages":
try:
from hermes_cli.models import azure_foundry_model_api_mode
inferred = azure_foundry_model_api_mode(effective_model)
except Exception:
inferred = None
if inferred:
cfg_api_mode = inferred
env_base_url = os.getenv("AZURE_FOUNDRY_BASE_URL", "").strip().rstrip("/")
base_url = explicit_base_url_clean or cfg_base_url or env_base_url
if not base_url:
@@ -923,7 +864,6 @@ def resolve_runtime_provider(
model_cfg=_get_model_config(),
explicit_api_key=explicit_api_key,
explicit_base_url=explicit_base_url,
target_model=target_model,
)
return azure_runtime
@@ -1124,34 +1064,13 @@ def resolve_runtime_provider(
cfg_base_url and "azure.com" in cfg_base_url.lower()
)
if _is_azure_endpoint:
# Honor user-specified env var hints on the model config before
# falling back to the built-in AZURE_ANTHROPIC_KEY / ANTHROPIC_API_KEY
# chain. Accept both `key_env` (Hermes canonical — matches the
# custom_providers field name) and `api_key_env` (documented in the
# Azure Foundry guide and read by most Hermes-compatible importers).
# Matches the config.yaml examples in website/docs/guides/azure-foundry.md.
token = ""
for hint_key in ("key_env", "api_key_env"):
env_var = str(model_cfg.get(hint_key) or "").strip()
if env_var:
token = os.getenv(env_var, "").strip()
if token:
break
# Next: an inline api_key on the model config (useful in multi-profile
# setups that want to avoid env-var juggling).
if not token:
token = str(model_cfg.get("api_key") or "").strip()
# Finally fall back to the historical fixed names.
if not token:
token = (
os.getenv("AZURE_ANTHROPIC_KEY", "").strip()
or os.getenv("ANTHROPIC_API_KEY", "").strip()
)
token = (
os.getenv("AZURE_ANTHROPIC_KEY", "").strip()
or os.getenv("ANTHROPIC_API_KEY", "").strip()
)
if not token:
raise AuthError(
"No Azure Anthropic API key found. Set AZURE_ANTHROPIC_KEY or "
"ANTHROPIC_API_KEY, or point key_env/api_key_env in your "
"config.yaml model section at a custom env var."
"No Azure Anthropic API key found. Set AZURE_ANTHROPIC_KEY or ANTHROPIC_API_KEY."
)
else:
from agent.anthropic_adapter import resolve_anthropic_token
@@ -1262,20 +1181,15 @@ def resolve_runtime_provider(
configured_provider = str(model_cfg.get("provider") or "").strip().lower()
# Only honor persisted api_mode when it belongs to the same provider family.
configured_mode = _parse_api_mode(model_cfg.get("api_mode"))
if provider in ("opencode-zen", "opencode-go"):
# opencode-zen/go must always re-derive api_mode from the
# target model (not the stale persisted api_mode), because
# the same provider serves both anthropic_messages
# (e.g. minimax-m2.7) and chat_completions (e.g.
# deepseek-v4-flash) and switching models via /model would
# otherwise carry the previous mode forward, stripping /v1
# from base_url for chat_completions models and 404'ing.
# Refs #16878.
if configured_mode and _provider_supports_explicit_api_mode(provider, configured_provider):
api_mode = configured_mode
elif provider in ("opencode-zen", "opencode-go"):
from hermes_cli.models import opencode_model_api_mode
# Prefer the target_model from the caller (explicit mid-session
# switch) over the stale model.default; see _resolve_runtime_from_pool_entry
# for the same rationale.
_effective = target_model or model_cfg.get("default", "")
api_mode = opencode_model_api_mode(provider, _effective)
elif configured_mode and _provider_supports_explicit_api_mode(provider, configured_provider):
api_mode = configured_mode
else:
# Auto-detect Anthropic-compatible endpoints by URL convention
# (e.g. https://api.minimax.io/anthropic, https://dashscope.../anthropic)
+16 -69
View File
@@ -712,6 +712,8 @@ def setup_model_provider(config: dict, *, quick: bool = False):
if isinstance(_m, dict):
selected_provider = _m.get("provider")
nous_subscription_selected = selected_provider == "nous"
# ── Same-provider fallback & rotation setup (full setup only) ──
if not quick and _supports_same_provider_pool_setup(selected_provider):
try:
@@ -1854,32 +1856,27 @@ def _setup_slack():
if existing:
print_info("Slack: already configured")
if not prompt_yes_no("Reconfigure Slack?", False):
# Even without reconfiguring, offer to refresh the manifest so
# new commands (e.g. /btw, /stop, ...) get registered in Slack.
if prompt_yes_no(
"Regenerate the Slack app manifest with the latest command "
"list? (recommended after `hermes update`)",
True,
):
_write_slack_manifest_and_instruct()
return
print_info("Steps to create a Slack app:")
print_info(" 1. Go to https://api.slack.com/apps → Create New App")
print_info(" Pick 'From an app manifest' — we'll generate one for you below.")
print_info(" 1. Go to https://api.slack.com/apps → Create New App (from scratch)")
print_info(" 2. Enable Socket Mode: Settings → Socket Mode → Enable")
print_info(" • Create an App-Level Token with 'connections:write' scope")
print_info(" 3. Install to Workspace: Settings → Install App")
print_info(" 4. After installing, invite the bot to channels: /invite @YourBot")
print_info(" 3. Add Bot Token Scopes: Features → OAuth & Permissions")
print_info(" Required scopes: chat:write, app_mentions:read,")
print_info(" channels:history, channels:read, im:history,")
print_info(" im:read, im:write, users:read, files:read, files:write")
print_info(" Optional for private channels: groups:history")
print_info(" 4. Subscribe to Events: Features → Event Subscriptions → Enable")
print_info(" Required events: message.im, message.channels, app_mention")
print_info(" Optional for private channels: message.groups")
print_warning(" ⚠ Without message.channels the bot will ONLY work in DMs,")
print_warning(" not public channels.")
print_info(" 5. Install to Workspace: Settings → Install App")
print_info(" 6. Reinstall the app after any scope or event changes")
print_info(" 7. After installing, invite the bot to channels: /invite @YourBot")
print()
print_info(" Full guide: https://hermes-agent.nousresearch.com/docs/user-guide/messaging/slack/")
print()
# Generate and write manifest up-front so the user can paste it into
# the "Create from manifest" flow instead of clicking through scopes /
# events / slash commands one at a time.
_write_slack_manifest_and_instruct()
print()
bot_token = prompt("Slack Bot Token (xoxb-...)", password=True)
if not bot_token:
@@ -1905,49 +1902,6 @@ def _setup_slack():
print_info(" Set SLACK_ALLOW_ALL_USERS=true or GATEWAY_ALLOW_ALL_USERS=true only if you intentionally want open workspace access.")
def _write_slack_manifest_and_instruct():
"""Generate the Slack manifest, write it under HERMES_HOME, and print
paste-into-Slack instructions.
Exposed as its own helper so both the initial setup flow and the
"reconfigure? → no" branch can refresh the manifest without the user
re-entering tokens. Failures are non-fatal if the manifest write
fails for any reason, we print a warning and skip rather than abort
the whole Slack setup.
"""
try:
from hermes_cli.slack_cli import _build_full_manifest
from hermes_constants import get_hermes_home
manifest = _build_full_manifest(
bot_name="Hermes",
bot_description="Your Hermes agent on Slack",
)
target = Path(get_hermes_home()) / "slack-manifest.json"
target.parent.mkdir(parents=True, exist_ok=True)
import json as _json
target.write_text(
_json.dumps(manifest, indent=2, ensure_ascii=False) + "\n",
encoding="utf-8",
)
print_success(f"Slack app manifest written to: {target}")
print_info(
" Paste it into https://api.slack.com/apps → your app → Features "
"→ App Manifest → Edit, then Save. Slack will prompt to "
"reinstall if scopes or slash commands changed."
)
print_info(
" Re-run `hermes slack manifest --write` anytime to refresh after "
"Hermes adds new commands."
)
except Exception as exc: # pragma: no cover - best-effort UX helper
print_warning(f"Couldn't write Slack manifest: {exc}")
print_info(
" You can generate it manually later with: "
"hermes slack manifest --write"
)
def _setup_matrix():
"""Configure Matrix credentials."""
print_header("Matrix")
@@ -2131,12 +2085,6 @@ def _setup_feishu():
_gateway_setup_feishu()
def _setup_yuanbao():
"""Configure Yuanbao via gateway setup."""
from hermes_cli.gateway import _setup_yuanbao as _gateway_setup_yuanbao
_gateway_setup_yuanbao()
def _setup_wecom():
"""Configure WeCom (Enterprise WeChat) via gateway setup."""
from hermes_cli.gateway import _setup_wecom as _gateway_setup_wecom
@@ -2281,7 +2229,6 @@ _GATEWAY_PLATFORMS = [
("WhatsApp", "WHATSAPP_ENABLED", _setup_whatsapp),
("DingTalk", "DINGTALK_CLIENT_ID", _setup_dingtalk),
("Feishu / Lark", "FEISHU_APP_ID", _setup_feishu),
("Yuanbao", "YUANBAO_APP_ID", _setup_yuanbao),
("WeCom (Enterprise WeChat)", "WECOM_BOT_ID", _setup_wecom),
("WeCom Callback (Self-Built App)", "WECOM_CALLBACK_CORP_ID", _setup_wecom_callback),
("Weixin (WeChat)", "WEIXIN_ACCOUNT_ID", _setup_weixin),
+20 -230
View File
@@ -11,10 +11,9 @@ handler are thin wrappers that parse args and delegate.
"""
import json
import re
import shutil
from pathlib import Path
from typing import Any, Dict, List, Optional
from typing import Any, Dict, Optional
from rich.console import Console
from rich.panel import Panel
@@ -142,103 +141,6 @@ def _derive_category_from_install_path(install_path: str) -> str:
return "" if parent == "." else parent
# ---------------------------------------------------------------------------
# Interactive name/category resolution for URL-installed skills
# ---------------------------------------------------------------------------
_VALID_NAME_RE = re.compile(r"^[a-z][a-z0-9_-]*$")
_VALID_CATEGORY_RE = re.compile(r"^[a-z][a-z0-9_/-]*$")
def _is_valid_installed_skill_name(name: str) -> bool:
"""Accept identifier-shaped names, reject empty / sentinel-y values."""
if not isinstance(name, str):
return False
candidate = name.strip().lower()
if not candidate or candidate in {"skill", "readme", "index", "unnamed-skill"}:
return False
return bool(_VALID_NAME_RE.match(candidate))
def _existing_categories() -> List[str]:
"""Return sorted subdirectory names under ``~/.hermes/skills/`` that look
like category buckets (contain at least one ``SKILL.md`` somewhere below).
Used to suggest reusable categories when interactively installing from a
URL. Hidden dirs (``.hub``, ``.trash``) are skipped.
"""
from tools.skills_hub import SKILLS_DIR
out: List[str] = []
try:
for entry in SKILLS_DIR.iterdir():
if not entry.is_dir() or entry.name.startswith("."):
continue
# Only count as a category if it contains skills, not if it IS a skill.
# Heuristic: if ``<entry>/SKILL.md`` exists, it's a skill at the
# top level (no category); otherwise treat as a category bucket.
if (entry / "SKILL.md").exists():
continue
# Has at least one nested SKILL.md?
try:
if any(entry.rglob("SKILL.md")):
out.append(entry.name)
except OSError:
continue
except (FileNotFoundError, OSError):
return []
return sorted(set(out))
def _prompt_for_skill_name(c: Console, url: str, default: str = "") -> Optional[str]:
"""Prompt interactively for a skill name. Returns None on cancel/EOF."""
c.print()
c.print(
f"[yellow]The SKILL.md at {url} doesn't declare a `name:` in its "
f"frontmatter,[/]\n[yellow]and the URL path doesn't produce a valid "
f"identifier either.[/]"
)
default_hint = f" [{default}]" if default else ""
c.print(
f"[bold]Enter a skill name{default_hint}:[/] "
f"[dim](lowercase letters, digits, hyphens, underscores; starts with a letter)[/]"
)
try:
answer = input("Name: ").strip()
except (EOFError, KeyboardInterrupt):
return None
if not answer and default:
answer = default
if not _is_valid_installed_skill_name(answer):
c.print(f"[bold red]Invalid name:[/] {answer!r}. Aborting install.\n")
return None
return answer
def _prompt_for_category(c: Console, existing: List[str]) -> str:
"""Prompt interactively for a category. Empty/None input means flat install."""
c.print()
if existing:
c.print(
"[bold]Pick a category[/] "
"[dim](reuse an existing bucket, type a new one, or press Enter to install flat)[/]"
)
c.print(f"[dim]Existing: {', '.join(existing)}[/]")
else:
c.print(
"[bold]Category[/] [dim](optional — press Enter to install flat at ~/.hermes/skills/<name>/)[/]"
)
try:
answer = input("Category: ").strip()
except (EOFError, KeyboardInterrupt):
return ""
if not answer:
return ""
if not _VALID_CATEGORY_RE.match(answer):
c.print(f"[dim]Invalid category {answer!r} — installing flat.[/]")
return ""
return answer
def do_search(query: str, source: str = "all", limit: int = 10,
console: Optional[Console] = None) -> None:
"""Search registries and display results as a Rich table."""
@@ -407,17 +309,8 @@ def do_browse(page: int = 1, page_size: int = 20, source: str = "all",
def do_install(identifier: str, category: str = "", force: bool = False,
console: Optional[Console] = None, skip_confirm: bool = False,
invalidate_cache: bool = True,
name_override: str = "") -> None:
"""Fetch, quarantine, scan, confirm, and install a skill.
``name_override`` lets non-interactive callers (slash commands, gateway,
scripts) supply a skill name when the upstream SKILL.md lacks a valid
``name:`` frontmatter field. On interactive TTY surfaces, a missing name
triggers a prompt instead; ``skip_confirm=True`` means "non-interactive"
(so pair it with ``name_override`` when installing from a URL that has
no frontmatter).
"""
invalidate_cache: bool = True) -> None:
"""Fetch, quarantine, scan, confirm, and install a skill."""
from tools.skills_hub import (
GitHubAuth, create_source_router, ensure_hub_dirs,
quarantine_bundle, install_from_quarantine, HubLockFile,
@@ -461,58 +354,6 @@ def do_install(identifier: str, category: str = "", force: bool = False,
c.print()
return
# URL-sourced skills may arrive with an empty name when SKILL.md has no
# ``name:`` in frontmatter AND the URL path doesn't yield a valid
# identifier. Resolve by (1) --name override, (2) interactive prompt on
# a TTY, (3) refuse with an actionable error on non-interactive surfaces.
bundle_meta = getattr(bundle, "metadata", {}) or {}
if bundle.source == "url" and (not bundle.name or bundle_meta.get("awaiting_name")):
if name_override and _is_valid_installed_skill_name(name_override):
bundle.name = name_override.strip()
bundle_meta["awaiting_name"] = False
elif name_override:
c.print(
f"[bold red]Invalid --name:[/] {name_override!r}. "
"Must be a lowercase identifier (letters, digits, hyphens, "
"underscores; starts with a letter).\n"
)
return
elif skip_confirm:
# Non-interactive surface (slash command / TUI / gateway). Can't
# prompt — emit an actionable error.
url = bundle_meta.get("url") or identifier
c.print(
f"[bold red]Cannot install from URL:[/] {url}\n"
"[yellow]The SKILL.md has no `name:` in its frontmatter, "
"and the URL path doesn't produce a valid identifier.[/]\n\n"
"Retry with an explicit name:\n"
f" [bold]/skills install {url} --name <your-name>[/]\n"
f" [bold]hermes skills install {url} --name <your-name>[/]\n\n"
"[dim]Or ask the SKILL.md's author to add a `name:` field to "
"its YAML frontmatter.[/]\n"
)
return
else:
# Interactive TTY — prompt.
url = bundle_meta.get("url") or identifier
chosen = _prompt_for_skill_name(c, url)
if not chosen:
c.print("[dim]Installation cancelled.[/]\n")
return
bundle.name = chosen
bundle_meta["awaiting_name"] = False
# Keep SkillMeta in sync so downstream "already installed" checks,
# audit logs, and display all see the final name.
if meta is not None:
meta.name = bundle.name
meta.path = bundle.name
# URL-sourced skills: offer to pick a category interactively when the
# caller didn't specify one (TTY only — non-interactive installs fall
# through to flat install, matching all other sources).
if bundle.source == "url" and not category and not skip_confirm:
category = _prompt_for_category(c, _existing_categories())
# Auto-detect category for official skills (e.g. "official/autonomous-ai-agents/blackbox")
if bundle.source == "official" and not category:
id_parts = bundle.identifier.split("/") # ["official", "category", "skill"]
@@ -758,24 +599,11 @@ def inspect_skill(identifier: str) -> Optional[dict]:
return out
def do_list(source_filter: str = "all",
enabled_only: bool = False,
console: Optional[Console] = None) -> None:
"""List installed skills, distinguishing hub, builtin, and local skills.
Args:
source_filter: ``all`` | ``hub`` | ``builtin`` | ``local``.
enabled_only: If True, hide disabled skills from the output.
Enabled/disabled state is resolved against the currently active profile's
config ``hermes -p <profile> skills list`` reads that profile's
``skills.disabled`` list because ``-p`` swaps ``HERMES_HOME`` at process
start. No explicit profile flag needed here.
"""
def do_list(source_filter: str = "all", console: Optional[Console] = None) -> None:
"""List installed skills, distinguishing hub, builtin, and local skills."""
from tools.skills_hub import HubLockFile, ensure_hub_dirs
from tools.skills_sync import _read_manifest
from tools.skills_tool import _find_all_skills
from agent.skill_utils import get_disabled_skill_names
c = console or _console
ensure_hub_dirs()
@@ -783,26 +611,17 @@ def do_list(source_filter: str = "all",
hub_installed = {e["name"]: e for e in lock.list_installed()}
builtin_names = set(_read_manifest())
# Pull ALL skills (including disabled ones) so we can annotate status.
all_skills = _find_all_skills(skip_disabled=True)
disabled_names = get_disabled_skill_names()
all_skills = _find_all_skills()
title = "Installed Skills"
if enabled_only:
title += " (enabled only)"
table = Table(title=title)
table = Table(title="Installed Skills")
table.add_column("Name", style="bold cyan")
table.add_column("Category", style="dim")
table.add_column("Source", style="dim")
table.add_column("Trust", style="dim")
table.add_column("Status", style="dim")
hub_count = 0
builtin_count = 0
local_count = 0
enabled_count = 0
disabled_count = 0
for skill in sorted(all_skills, key=lambda s: (s.get("category") or "", s["name"])):
name = skill["name"]
@@ -813,48 +632,29 @@ def do_list(source_filter: str = "all",
source_type = "hub"
source_display = hub_entry.get("source", "hub")
trust = hub_entry.get("trust_level", "community")
hub_count += 1
elif name in builtin_names:
source_type = "builtin"
source_display = "builtin"
trust = "builtin"
builtin_count += 1
else:
source_type = "local"
source_display = "local"
trust = "local"
local_count += 1
if source_filter != "all" and source_filter != source_type:
continue
is_enabled = name not in disabled_names
if enabled_only and not is_enabled:
continue
if source_type == "hub":
hub_count += 1
elif source_type == "builtin":
builtin_count += 1
else:
local_count += 1
if is_enabled:
enabled_count += 1
status_cell = "[bold green]enabled[/]"
else:
disabled_count += 1
status_cell = "[dim red]disabled[/]"
trust_style = {"builtin": "bright_cyan", "trusted": "green", "community": "yellow", "local": "dim"}.get(trust, "dim")
trust_label = "official" if source_display == "official" else trust
table.add_row(name, category, source_display, f"[{trust_style}]{trust_label}[/]", status_cell)
table.add_row(name, category, source_display, f"[{trust_style}]{trust_label}[/]")
c.print(table)
summary = f"[dim]{hub_count} hub-installed, {builtin_count} builtin, {local_count} local"
if enabled_only:
summary += f"{enabled_count} enabled shown"
else:
summary += f"{enabled_count} enabled, {disabled_count} disabled"
summary += "[/]\n"
c.print(summary)
c.print(
f"[dim]{hub_count} hub-installed, {builtin_count} builtin, {local_count} local[/]\n"
)
def do_check(name: Optional[str] = None, console: Optional[Console] = None) -> None:
@@ -1323,15 +1123,11 @@ def skills_command(args) -> None:
do_search(args.query, source=args.source, limit=args.limit)
elif action == "install":
do_install(args.identifier, category=args.category, force=args.force,
skip_confirm=getattr(args, "yes", False),
name_override=getattr(args, "name", "") or "")
skip_confirm=getattr(args, "yes", False))
elif action == "inspect":
do_inspect(args.identifier)
elif action == "list":
do_list(
source_filter=args.source,
enabled_only=getattr(args, "enabled_only", False),
)
do_list(source_filter=args.source)
elif action == "check":
do_check(name=getattr(args, "name", None))
elif action == "update":
@@ -1381,7 +1177,6 @@ def handle_skills_slash(cmd: str, console: Optional[Console] = None) -> None:
/skills search kubernetes
/skills install openai/skills/skill-creator
/skills install openai/skills/skill-creator --force
/skills install https://example.com/path/SKILL.md
/skills inspect openai/skills/skill-creator
/skills list
/skills list --source hub
@@ -1458,11 +1253,10 @@ def handle_skills_slash(cmd: str, console: Optional[Console] = None) -> None:
elif action == "install":
if not args:
c.print("[bold red]Usage:[/] /skills install <identifier-or-url> [--name <name>] [--category <cat>] [--force] [--now]\n")
c.print("[bold red]Usage:[/] /skills install <identifier> [--category <cat>] [--force] [--now]\n")
return
identifier = args[0]
category = ""
name_override = ""
# Slash commands run inside prompt_toolkit where input() hangs.
# Always skip confirmation — the user typing the command is implicit consent.
skip_confirm = True
@@ -1473,11 +1267,9 @@ def handle_skills_slash(cmd: str, console: Optional[Console] = None) -> None:
for i, a in enumerate(args):
if a == "--category" and i + 1 < len(args):
category = args[i + 1]
elif a == "--name" and i + 1 < len(args):
name_override = args[i + 1]
do_install(identifier, category=category, force=force,
skip_confirm=skip_confirm, invalidate_cache=invalidate_cache,
name_override=name_override, console=c)
console=c)
elif action == "inspect":
if not args:
@@ -1487,12 +1279,11 @@ def handle_skills_slash(cmd: str, console: Optional[Console] = None) -> None:
elif action == "list":
source_filter = "all"
enabled_only = "--enabled-only" in args or "--enabled" in args
if "--source" in args:
idx = args.index("--source")
if idx + 1 < len(args):
source_filter = args[idx + 1]
do_list(source_filter=source_filter, enabled_only=enabled_only, console=c)
do_list(source_filter=source_filter, console=c)
elif action == "check":
name = args[0] if args else None
@@ -1580,8 +1371,7 @@ def _print_skills_help(console: Console) -> None:
" [cyan]search[/] <query> Search registries for skills\n"
" [cyan]install[/] <identifier> Install a skill (with security scan)\n"
" [cyan]inspect[/] <identifier> Preview a skill without installing\n"
" [cyan]list[/] [--source hub|builtin|local] [--enabled-only]\n"
" List installed skills; --enabled-only filters to the active profile's live set\n"
" [cyan]list[/] [--source hub|builtin|local] List installed skills\n"
" [cyan]check[/] [name] Check hub skills for upstream updates\n"
" [cyan]update[/] [name] Update hub skills with upstream changes\n"
" [cyan]audit[/] [name] Re-scan hub skills for security\n"
+14 -104
View File
@@ -68,7 +68,7 @@ All fields are optional. Missing values inherit from the ``default`` skin.
welcome: "Welcome message" # Shown at CLI startup
goodbye: "Goodbye! ⚕" # Shown on exit
response_label: " ⚕ Hermes " # Response box header label
prompt_symbol: "" # Input prompt symbol (bare token; renderers add trailing space)
prompt_symbol: " " # Input prompt symbol
help_header: "(^_^)? Commands" # /help header text
# Tool prefix: character for tool output lines (default: ┊)
@@ -103,10 +103,6 @@ BUILT-IN SKINS
- ``slate`` Cool blue developer-focused theme
- ``daylight`` Light background theme with dark text and blue accents
- ``warm-lightmode`` Warm brown/gold text for light terminal backgrounds
- ``poseidon`` Ocean-god theme (deep blue and seafoam)
- ``sisyphus`` Austere grayscale with boulder motif
- ``charizard`` Volcanic burnt-orange and ember
- ``bunnny`` Barbie-pink coquette theme (sparkles, hearts, bunnies)
USER SKINS
==========
@@ -194,7 +190,7 @@ _BUILTIN_SKINS: Dict[str, Dict[str, Any]] = {
"welcome": "Welcome to Hermes Agent! Type your message or /help for commands.",
"goodbye": "Goodbye! ⚕",
"response_label": " ⚕ Hermes ",
"prompt_symbol": "",
"prompt_symbol": " ",
"help_header": "(^_^)? Available Commands",
},
"tool_prefix": "",
@@ -246,7 +242,7 @@ _BUILTIN_SKINS: Dict[str, Dict[str, Any]] = {
"welcome": "Welcome to Ares Agent! Type your message or /help for commands.",
"goodbye": "Farewell, warrior! ⚔",
"response_label": " ⚔ Ares ",
"prompt_symbol": "",
"prompt_symbol": " ",
"help_header": "(⚔) Available Commands",
},
"tool_prefix": "",
@@ -305,7 +301,7 @@ _BUILTIN_SKINS: Dict[str, Dict[str, Any]] = {
"welcome": "Welcome to Hermes Agent! Type your message or /help for commands.",
"goodbye": "Goodbye! ⚕",
"response_label": " ⚕ Hermes ",
"prompt_symbol": "",
"prompt_symbol": " ",
"help_header": "[?] Available Commands",
},
"tool_prefix": "",
@@ -344,7 +340,7 @@ _BUILTIN_SKINS: Dict[str, Dict[str, Any]] = {
"welcome": "Welcome to Hermes Agent! Type your message or /help for commands.",
"goodbye": "Goodbye! ⚕",
"response_label": " ⚕ Hermes ",
"prompt_symbol": "",
"prompt_symbol": " ",
"help_header": "(^_^)? Available Commands",
},
"tool_prefix": "",
@@ -381,7 +377,7 @@ _BUILTIN_SKINS: Dict[str, Dict[str, Any]] = {
"welcome": "Welcome to Hermes Agent! Type your message or /help for commands.",
"goodbye": "Goodbye! ⚕",
"response_label": " ⚕ Hermes ",
"prompt_symbol": "",
"prompt_symbol": " ",
"help_header": "[?] Available Commands",
},
"tool_prefix": "",
@@ -418,7 +414,7 @@ _BUILTIN_SKINS: Dict[str, Dict[str, Any]] = {
"welcome": "Welcome to Hermes Agent! Type your message or /help for commands.",
"goodbye": "Goodbye! \u2695",
"response_label": " \u2695 Hermes ",
"prompt_symbol": "\u276f",
"prompt_symbol": "\u276f ",
"help_header": "(^_^)? Available Commands",
},
"tool_prefix": "\u250a",
@@ -471,7 +467,7 @@ _BUILTIN_SKINS: Dict[str, Dict[str, Any]] = {
"welcome": "Welcome to Poseidon Agent! Type your message or /help for commands.",
"goodbye": "Fair winds! Ψ",
"response_label": " Ψ Poseidon ",
"prompt_symbol": "Ψ",
"prompt_symbol": "Ψ ",
"help_header": "(Ψ) Available Commands",
},
"tool_prefix": "",
@@ -543,7 +539,7 @@ _BUILTIN_SKINS: Dict[str, Dict[str, Any]] = {
"welcome": "Welcome to Sisyphus Agent! Type your message or /help for commands.",
"goodbye": "The boulder waits. ◉",
"response_label": " ◉ Sisyphus ",
"prompt_symbol": "",
"prompt_symbol": " ",
"help_header": "(◉) Available Commands",
},
"tool_prefix": "",
@@ -616,7 +612,7 @@ _BUILTIN_SKINS: Dict[str, Dict[str, Any]] = {
"welcome": "Welcome to Charizard Agent! Type your message or /help for commands.",
"goodbye": "Flame out! ✦",
"response_label": " ✦ Charizard ",
"prompt_symbol": "",
"prompt_symbol": " ",
"help_header": "(✦) Available Commands",
},
"tool_prefix": "",
@@ -640,83 +636,6 @@ _BUILTIN_SKINS: Dict[str, Dict[str, Any]] = {
[#F29C38]⠀⣼⡟⠀⠀⢻⣧⠀⠀⠀[/]
[dim #7A3511]tail flame lit[/]""",
},
"bunnny": {
"name": "bunnny",
"description": "Barbie-pink coquette theme — sparkles, bows, and bubblegum",
"colors": {
"banner_border": "#E91E63",
"banner_title": "#FF3366",
"banner_accent": "#FF69B4",
"banner_dim": "#C2185B",
"banner_text": "#FFF0F5",
"ui_accent": "#FF3366",
"ui_label": "#FF69B4",
"ui_ok": "#FFB6C1",
"ui_error": "#FF1744",
"ui_warn": "#FFAB91",
"prompt": "#FFF0F5",
"input_rule": "#E91E63",
"response_border": "#FF69B4",
"status_bar_bg": "#2A0E1E",
"status_bar_text": "#FFE4EC",
"status_bar_strong": "#FF3366",
"status_bar_dim": "#8E4B6B",
"status_bar_good": "#FFB6C1",
"status_bar_warn": "#FF69B4",
"status_bar_bad": "#FF3366",
"status_bar_critical": "#FF1744",
"session_label": "#FF69B4",
"session_border": "#8E4B6B",
"voice_status_bg": "#2A0E1E",
"completion_menu_bg": "#2A0E1E",
"completion_menu_current_bg": "#5A1D3A",
"completion_menu_meta_bg": "#2A0E1E",
"completion_menu_meta_current_bg": "#5A1D3A",
},
"spinner": {
"waiting_faces": ["(♡)", "(✿)", "(✧)", "(❀)", "(ෆ)", "(˘ᵕ˘)", "(⑅)"],
"thinking_faces": ["(♡)", "(✧)", "(❀)", "(✿)", "(ෆ)", "(˘ᵕ˘)"],
"thinking_verbs": [
"sparkling", "twirling", "glittering", "frosting",
"bedazzling", "bowtying", "sprinkling sugar", "picking ribbons",
"glossing up", "curating the vibe", "dusting pink",
"tying a little bow", "making it cute",
],
"wings": [
["⟪♡", "♡⟫"],
["⟪✧", "✧⟫"],
["⟪✿", "✿⟫"],
["⟪❀", "❀⟫"],
["⟪ෆ", "ෆ⟫"],
],
},
"branding": {
"agent_name": "Hermes Agent",
"welcome": "hi bestie ♡ welcome to Hermes Agent! type your message or /help for commands (ノ◕ヮ◕)ノ*:・゚✧",
"goodbye": "bye bestie ♡ ✧",
"response_label": " ♡ Hermes ",
"prompt_symbol": "",
"help_header": "(ノ◕ヮ◕)ノ*:・゚✧ Commands",
},
"tool_prefix": "",
"banner_logo": """[bold #FFB6C1]██╗ ██╗███████╗██████╗ ███╗ ███╗███████╗███████╗ ██╗ ██╗ [/]
[bold #FF69B4]██║ ██║██╔════╝██╔══██╗████╗ ████║██╔════╝██╔════╝ ████████╗[/]
[#FF3C7F]███████║█████╗ ██████╔╝██╔████╔██║█████╗ ███████╗ ╚██████╔╝[/]
[#FF3366]██╔══██║██╔══╝ ██╔══██╗██║╚██╔╝██║██╔══╝ ╚════██║ ╚████╔╝ [/]
[#E91E63]██║ ██║███████╗██║ ██║██║ ╚═╝ ██║███████╗███████║ ╚██╔╝ [/]
[#C2185B]╚═╝ ╚═╝╚══════╝╚═╝ ╚═╝╚═╝ ╚═╝╚══════╝╚══════╝ ╚═╝ [/]""",
"banner_hero": """[#FF69B4]⠀✧⠀⠀⠀⠀⠀⠀✧⠀[/]
[#FFB6C1]⠀♡⠀⠀⢀⣀⠀⠀⠀⠀⠀⢀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀♡⠀⠀⠀⠀[/]
[#FF69B4]⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⣯⢬⣷⡀⠀⠀⣴⡯⢌⣧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀[/]
[#FF3366]⠀✿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⣿♡⠹⣷⠀⢸⡝♡⢸⡿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀✿⠀[/]
[#FF3C7F]⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠻⣧⣀⣿⣦⣼⡁⣠⣿⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀[/]
[#FF3366]⠀✧⠀⠀⠀⠀⠀⢀⡾⠋⠀⠀⠀⠈⣙⣯⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀✧[/]
[#FF3366]⠀⣾⠀⠀⠀⠀⠀⠀⠀⠸⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀[/]
[#E91E63]⠀⠀⠀♡⠀⠀⠀⠀⠀⠀⠀⠀⢰⡧⢄⢰⡆⠀⢰⡆⡠⢄⣧⠀⠀⠀⠀⠀⠀⠀⠀♡⠀⠀⠀⠀⠀[/]
[#C2185B]⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠳⣼⣤⣤⣤⣤⣤⣧⠾⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀[/]
[#FF69B4]⠀✿⠀⠀❀⠀⠀⠀⠀❀⠀⠀❀⠀⠀⠀⠀⠀❀⠀⠀⠀⠀⠀⠀✿⠀⠀⠀⠀⠀[/]
[dim #C2185B]xoxo[/]""",
},
}
@@ -861,21 +780,12 @@ def init_skin_from_config(config: dict) -> None:
# =============================================================================
def get_active_prompt_symbol(fallback: str = "") -> str:
"""Return the interactive prompt symbol with a single trailing space.
Skins store ``prompt_symbol`` as a bare token (no spaces). The trailing
space is appended here so callers can drop it straight into a rendered
prompt without hand-rolling whitespace.
"""
def get_active_prompt_symbol(fallback: str = " ") -> str:
"""Get the interactive prompt symbol from the active skin."""
try:
raw = get_active_skin().get_branding("prompt_symbol", fallback)
return get_active_skin().get_branding("prompt_symbol", fallback)
except Exception:
raw = fallback
cleaned = (raw or fallback).strip()
return f"{cleaned or fallback.strip()} "
return fallback
-152
View File
@@ -1,152 +0,0 @@
"""``hermes slack ...`` CLI subcommands.
Today only ``hermes slack manifest`` is implemented it generates the
Slack app manifest JSON for registering every gateway command as a native
Slack slash (``/btw``, ``/stop``, ``/model``, ) so users get the same
first-class slash UX Discord and Telegram already have.
Typical workflow::
$ hermes slack manifest > slack-manifest.json
# or:
$ hermes slack manifest --write
Then paste the printed JSON into the Slack app config (Features App
Manifest Edit) and click Save. Slack diffs the manifest and prompts
for reinstall when scopes/commands change.
"""
from __future__ import annotations
import json
import sys
from pathlib import Path
def _build_full_manifest(bot_name: str, bot_description: str) -> dict:
"""Build a full Slack manifest merging display info + our slash list.
The slash-command list is always generated from ``COMMAND_REGISTRY`` so
it stays in sync with the rest of Hermes. Other manifest sections
(display info, OAuth scopes, socket mode) are set to sensible defaults
for a Hermes deployment users can tweak them in the Slack UI after
pasting.
"""
from hermes_cli.commands import slack_app_manifest
partial = slack_app_manifest()
slashes = partial["features"]["slash_commands"]
return {
"_metadata": {
"major_version": 1,
"minor_version": 1,
},
"display_information": {
"name": bot_name[:35],
"description": (bot_description or "Your Hermes agent on Slack")[:140],
"background_color": "#1a1a2e",
},
"features": {
"bot_user": {
"display_name": bot_name[:80],
"always_online": True,
},
"slash_commands": slashes,
"assistant_view": {
"assistant_description": "Chat with Hermes in threads and DMs.",
},
},
"oauth_config": {
"scopes": {
"bot": [
"app_mentions:read",
"assistant:write",
"channels:history",
"channels:read",
"chat:write",
"commands",
"files:read",
"files:write",
"groups:history",
"im:history",
"im:read",
"im:write",
"users:read",
],
},
},
"settings": {
"event_subscriptions": {
"bot_events": [
"app_mention",
"assistant_thread_context_changed",
"assistant_thread_started",
"message.channels",
"message.groups",
"message.im",
],
},
"interactivity": {
"is_enabled": True,
},
"org_deploy_enabled": False,
"socket_mode_enabled": True,
"token_rotation_enabled": False,
},
}
def slack_manifest_command(args) -> int:
"""Print or write a Slack app manifest JSON.
Flags (all parsed in ``hermes_cli/main.py``):
--write [PATH] Write to file instead of stdout (default path:
``$HERMES_HOME/slack-manifest.json``)
--name NAME Override the bot display name (default: "Hermes")
--description DESC Override the bot description
--slashes-only Emit only the ``features.slash_commands`` array (for
merging into an existing manifest manually)
"""
name = getattr(args, "name", None) or "Hermes"
description = getattr(args, "description", None) or "Your Hermes agent on Slack"
if getattr(args, "slashes_only", False):
from hermes_cli.commands import slack_app_manifest
manifest = slack_app_manifest()["features"]["slash_commands"]
else:
manifest = _build_full_manifest(name, description)
payload = json.dumps(manifest, indent=2, ensure_ascii=False) + "\n"
write_target = getattr(args, "write", None)
if write_target is not None:
if isinstance(write_target, bool) and write_target:
# --write with no value → default location
try:
from hermes_constants import get_hermes_home
target = Path(get_hermes_home()) / "slack-manifest.json"
except Exception:
target = Path.home() / ".hermes" / "slack-manifest.json"
else:
target = Path(write_target).expanduser()
target.parent.mkdir(parents=True, exist_ok=True)
target.write_text(payload, encoding="utf-8")
print(f"Slack manifest written to: {target}", file=sys.stderr)
print(
"\nNext steps:\n"
" 1. Open https://api.slack.com/apps and pick your Hermes app\n"
" (or create a new one: Create New App → From an app manifest).\n"
f" 2. Features → App Manifest → paste the contents of\n"
f" {target}\n"
" 3. Save; Slack will prompt to reinstall the app if scopes or\n"
" slash commands changed.\n"
" 4. Make sure Socket Mode is enabled and you have a bot token\n"
" (xoxb-...) and app token (xapp-...) configured via\n"
" `hermes setup`.\n",
file=sys.stderr,
)
else:
sys.stdout.write(payload)
return 0

Some files were not shown because too many files have changed in this diff Show More