Compare commits

..

3 Commits

Author SHA1 Message Date
alt-glitch 0d2aa2b6b4 feat(feishu): wire feishu doc/drive tools into hermes-feishu composite
The feishu_doc and feishu_drive tools were registered in the tool
registry but never added to the hermes-feishu composite toolset.
The pipeline fix from the prior commit now recovers them automatically
once they are in the composite.
2026-04-25 06:32:33 +05:30
alt-glitch 4bbf08a818 feat(discord): split discord_server into discord + discord_admin tools
Split the monolithic discord_server tool (14 actions) into two:

- discord: core actions (fetch_messages, search_members, create_thread)
  that are useful for the agent's normal operation. Auto-enabled on
  the discord platform via the pipeline fix.

- discord_admin: server management actions (list channels/roles, pins,
  role assignment) that require explicit opt-in via hermes tools.
  Added to CONFIGURABLE_TOOLSETS and _DEFAULT_OFF_TOOLSETS.
2026-04-25 06:32:04 +05:30
alt-glitch b8692b1ba1 fix(tools): recover non-configurable toolsets from composite resolution
The reverse-mapping loop in _get_platform_tools only checked
CONFIGURABLE_TOOLSETS, silently dropping platform-specific toolsets
like discord and feishu_doc whose tools were in the composite but
had no configurable key. Add a second pass over TOOLSETS that picks
up unclaimed toolsets whose tools are present in the resolved
composite.
2026-04-25 06:31:37 +05:30
731 changed files with 7925 additions and 81529 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'
-1
View File
@@ -69,4 +69,3 @@ mini-swe-agent/
.nix-stamps/
result
website/static/api/skills-index.json
models-dev-upstream/
+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
+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")
+82 -168
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. "
@@ -427,16 +390,7 @@ def build_anthropic_client(api_key: str, base_url: str = None, timeout: float =
"timeout": Timeout(timeout=float(_read_timeout), connect=10.0),
}
if normalized_base_url:
# Azure Anthropic endpoints require an ``api-version`` query parameter.
# Pass it via default_query so the SDK appends it to every request URL
# without corrupting the base_url (appending it directly produces
# malformed paths like /anthropic?api-version=.../v1/messages).
_is_azure_endpoint = "azure.com" in normalized_base_url.lower()
if _is_azure_endpoint and "api-version" not in normalized_base_url:
kwargs["base_url"] = normalized_base_url.rstrip("/")
kwargs["default_query"] = {"api-version": "2025-04-15"}
else:
kwargs["base_url"] = normalized_base_url
kwargs["base_url"] = normalized_base_url
common_betas = _common_betas_for_base_url(normalized_base_url)
if _is_kimi_coding_endpoint(base_url):
@@ -467,21 +421,15 @@ 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 +447,8 @@ 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 +464,6 @@ 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 +479,9 @@ 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 +767,17 @@ 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 +785,7 @@ 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 +793,12 @@ 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 +1045,6 @@ 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 +1055,7 @@ 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 +1534,8 @@ 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 +1568,45 @@ 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,
@@ -1763,9 +1680,9 @@ def build_anthropic_kwargs(
# ── Strip sampling params on 4.7+ ─────────────────────────────────
# Opus 4.7 rejects any non-default temperature/top_p/top_k with a 400.
# Callers (auxiliary_client, etc.) may set these for older models;
# drop them here as a safety net so upstream 4.6 → 4.7 migrations
# don't require coordinated edits everywhere.
# Callers (auxiliary_client, flush_memories, etc.) may set these for
# older models; drop them here as a safety net so upstream 4.6 → 4.7
# migrations don't require coordinated edits everywhere.
if _forbids_sampling_params(model):
for _sampling_key in ("temperature", "top_p", "top_k"):
kwargs.pop(_sampling_key, None)
@@ -1780,9 +1697,6 @@ 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)}
+65 -469
View File
@@ -41,57 +41,9 @@ 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 urllib.parse import urlparse, parse_qs, urlunparse
from typing import Any, Dict, List, Optional, Tuple
# 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
@@ -100,17 +52,6 @@ from utils import base_url_host_matches, base_url_hostname, normalize_proxy_env_
logger = logging.getLogger(__name__)
def _extract_url_query_params(url: str):
"""Extract query params from URL, return (clean_url, default_query dict or None)."""
parsed = urlparse(url)
if parsed.query:
clean = urlunparse(parsed._replace(query=""))
params = {k: v[0] for k, v in parse_qs(parsed.query).items()}
return clean, params
return url, None
# Module-level flag: only warn once per process about stale OPENAI_BASE_URL.
_stale_base_url_warned = False
@@ -129,8 +70,6 @@ _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 +80,6 @@ _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 +143,6 @@ _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 +151,6 @@ _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.
@@ -457,34 +390,7 @@ class _CodexCompletionsAdapter:
# Note: the Codex endpoint (chatgpt.com/backend-api/codex) does NOT
# support max_output_tokens or temperature — omit to avoid 400 errors.
# 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 support for flush_memories and similar callers
tools = kwargs.get("tools")
if tools:
converted = []
@@ -713,7 +619,9 @@ 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 +699,6 @@ 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 +869,7 @@ 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 +895,7 @@ 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
@@ -1363,10 +1157,8 @@ def _try_custom_endpoint() -> Tuple[Optional[Any], Optional[str]]:
return None, None
model = _read_main_model() or "gpt-4o-mini"
logger.debug("Auxiliary client: custom endpoint (%s, api_mode=%s)", model, custom_mode or "chat_completions")
_clean_base, _dq = _extract_url_query_params(custom_base)
_extra = {"default_query": _dq} if _dq else {}
if custom_mode == "codex_responses":
real_client = OpenAI(api_key=custom_key, base_url=_clean_base, **_extra)
real_client = OpenAI(api_key=custom_key, base_url=custom_base)
return CodexAuxiliaryClient(real_client, model), model
if custom_mode == "anthropic_messages":
# Third-party Anthropic-compatible gateway (MiniMax, Zhipu GLM,
@@ -1380,18 +1172,12 @@ def _try_custom_endpoint() -> Tuple[Optional[Any], Optional[str]]:
"Custom endpoint declares api_mode=anthropic_messages but the "
"anthropic SDK is not installed — falling back to OpenAI-wire."
)
return OpenAI(api_key=custom_key, base_url=_clean_base, **_extra), model
return OpenAI(api_key=custom_key, base_url=custom_base), model
return (
AnthropicAuxiliaryClient(real_client, model, custom_key, custom_base, is_oauth=False),
model,
)
# 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=custom_base), model
def _try_codex() -> Tuple[Optional[Any], Optional[str]]:
@@ -1563,49 +1349,6 @@ def _is_auth_error(exc: Exception) -> bool:
return "error code: 401" in err_lower or "authenticationerror" in type(exc).__name__.lower()
def _is_unsupported_parameter_error(exc: Exception, param: str) -> bool:
"""Detect provider 400s for an unsupported request parameter.
Different OpenAI-compatible endpoints phrase the same class of error a few
ways: ``Unsupported parameter: X``, ``unsupported_parameter`` with a
``param`` field, ``X is not supported``, ``unknown parameter: X``,
``unrecognized request argument: X``. We match on both the parameter
name and a generic "unsupported/unknown/unrecognized parameter" marker so
call sites can reactively retry without the offending key instead of
surfacing a noisy auxiliary failure.
Generalizes the temperature-specific detector that originally shipped
with PR #15621 so the same retry strategy can cover ``max_tokens``,
``seed``, ``top_p``, and any future quirk. Credit @nicholasrae (PR #15416)
for the generalization pattern.
"""
param_lower = (param or "").lower()
if not param_lower:
return False
err_lower = str(exc).lower()
if param_lower not in err_lower:
return False
return any(marker in err_lower for marker in (
"unsupported parameter",
"unsupported_parameter",
"not supported",
"does not support",
"unknown parameter",
"unrecognized request argument",
"unrecognized parameter",
"invalid parameter",
))
def _is_unsupported_temperature_error(exc: Exception) -> bool:
"""Back-compat wrapper: detect API errors where the model rejects ``temperature``.
Delegates to :func:`_is_unsupported_parameter_error`; kept as a separate
public symbol because existing tests and call sites import it by name.
"""
return _is_unsupported_parameter_error(exc, "temperature")
def _evict_cached_clients(provider: str) -> None:
"""Drop cached auxiliary clients for a provider so fresh creds are used."""
normalized = _normalize_aux_provider(provider)
@@ -1817,14 +1560,8 @@ 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 +1590,9 @@ 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 +1619,6 @@ 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 +1676,8 @@ 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 +1685,7 @@ 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 +1702,7 @@ 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 +1715,7 @@ 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 +1732,7 @@ 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 +1759,13 @@ 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()
@@ -2060,23 +1778,18 @@ 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 = {}
_clean_base, _dq = _extract_url_query_params(custom_base)
if _dq:
extra["default_query"] = _dq
if base_url_host_matches(custom_base, "api.kimi.com"):
extra["default_headers"] = {"User-Agent": "claude-code/0.1.0"}
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
)
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
from hermes_cli.models import copilot_default_headers
extra["default_headers"] = copilot_default_headers()
client = OpenAI(api_key=custom_key, base_url=custom_base, **extra)
client = _wrap_if_needed(client, final_model, custom_base)
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
# Try custom first, then codex, then API-key providers
for try_fn in (_try_custom_endpoint, _try_codex,
@@ -2085,9 +1798,8 @@ 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")
@@ -2109,23 +1821,9 @@ 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)
_extra2 = {"default_query": _dq2} if _dq2 else {}
logger.debug(
"resolve_provider_client: named custom provider %r (%s, api_mode=%s)",
provider, final_model, entry_api_mode or "chat_completions")
@@ -2143,13 +1841,8 @@ 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=custom_base)
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,
@@ -2157,7 +1850,7 @@ def resolve_provider_client(
if async_mode:
return AsyncAnthropicAuxiliaryClient(sync_anthropic), final_model
return sync_anthropic, final_model
client = OpenAI(api_key=custom_key, base_url=_clean_base2, **_extra2)
client = OpenAI(api_key=custom_key, base_url=custom_base)
# codex_responses or inherited auto-detect (via _wrap_if_needed).
# _wrap_if_needed reads the closed-over `api_mode` (the task-level
# override). Named-provider entry api_mode=codex_responses also
@@ -2167,8 +1860,8 @@ 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 +1893,7 @@ 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 +1919,7 @@ 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 +1927,9 @@ 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 +1951,16 @@ 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 +1987,7 @@ 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 +2023,7 @@ 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 +2098,8 @@ 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 +2167,7 @@ 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 +2199,8 @@ 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 +2208,10 @@ 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 +2233,11 @@ 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 +2301,10 @@ 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 +2330,6 @@ 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 +2347,7 @@ 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 +2358,6 @@ 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 +2469,12 @@ 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 +2487,6 @@ 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 +2523,6 @@ 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 +2554,6 @@ 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
@@ -3101,8 +2760,8 @@ def _build_call_kwargs(
temperature = fixed_temperature
# Opus 4.7+ rejects any non-default temperature/top_p/top_k — silently
# drop here so auxiliary callers that hardcode temperature (e.g. 0 on
# structured-JSON extraction) don't 400 the moment
# drop here so auxiliary callers that hardcode temperature (e.g. 0.3 on
# flush_memories, 0 on structured-JSON extraction) don't 400 the moment
# the aux model is flipped to 4.7.
if temperature is not None:
from agent.anthropic_adapter import _forbids_sampling_params
@@ -3190,7 +2849,7 @@ def call_llm(
Args:
task: Auxiliary task name ("compression", "vision", "web_extract",
"session_search", "skills_hub", "mcp", "title_generation").
"session_search", "skills_hub", "mcp", "flush_memories").
Reads provider:model from config/env. Ignored if provider is set.
provider: Explicit provider override.
model: Explicit model override.
@@ -3293,45 +2952,13 @@ def call_llm(
if _is_anthropic_compat_endpoint(resolved_provider, _client_base):
kwargs["messages"] = _convert_openai_images_to_anthropic(kwargs["messages"])
# Handle unsupported temperature, max_tokens vs max_completion_tokens retry,
# then payment fallback.
# Handle max_tokens vs max_completion_tokens retry, then payment fallback.
try:
return _validate_llm_response(
client.chat.completions.create(**kwargs), task)
except Exception as first_err:
if "temperature" in kwargs and _is_unsupported_temperature_error(first_err):
retry_kwargs = dict(kwargs)
retry_kwargs.pop("temperature", None)
logger.info(
"Auxiliary %s: provider rejected temperature; retrying once without it",
task or "call",
)
try:
return _validate_llm_response(
client.chat.completions.create(**retry_kwargs), task)
except Exception as retry_err:
retry_err_str = str(retry_err)
# If retry still fails, fall through to the max_tokens /
# payment / auth chains below using the temperature-stripped
# kwargs. Re-raise only if the retry hit something those
# chains won't handle.
if not (
_is_payment_error(retry_err)
or _is_connection_error(retry_err)
or _is_auth_error(retry_err)
or "max_tokens" in retry_err_str
or "unsupported_parameter" in retry_err_str
):
raise
first_err = retry_err
kwargs = retry_kwargs
err_str = str(first_err)
if max_tokens is not None and (
"max_tokens" in err_str
or "unsupported_parameter" in err_str
or _is_unsupported_parameter_error(first_err, "max_tokens")
):
if "max_tokens" in err_str or "unsupported_parameter" in err_str:
kwargs.pop("max_tokens", None)
kwargs["max_completion_tokens"] = max_tokens
try:
@@ -3358,7 +2985,6 @@ 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",
@@ -3595,35 +3221,8 @@ async def async_call_llm(
return _validate_llm_response(
await client.chat.completions.create(**kwargs), task)
except Exception as first_err:
if "temperature" in kwargs and _is_unsupported_temperature_error(first_err):
retry_kwargs = dict(kwargs)
retry_kwargs.pop("temperature", None)
logger.info(
"Auxiliary %s (async): provider rejected temperature; retrying once without it",
task or "call",
)
try:
return _validate_llm_response(
await client.chat.completions.create(**retry_kwargs), task)
except Exception as retry_err:
retry_err_str = str(retry_err)
if not (
_is_payment_error(retry_err)
or _is_connection_error(retry_err)
or _is_auth_error(retry_err)
or "max_tokens" in retry_err_str
or "unsupported_parameter" in retry_err_str
):
raise
first_err = retry_err
kwargs = retry_kwargs
err_str = str(first_err)
if max_tokens is not None and (
"max_tokens" in err_str
or "unsupported_parameter" in err_str
or _is_unsupported_parameter_error(first_err, "max_tokens")
):
if "max_tokens" in err_str or "unsupported_parameter" in err_str:
kwargs.pop("max_tokens", None)
kwargs["max_completion_tokens"] = max_tokens
try:
@@ -3649,7 +3248,6 @@ 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 +3316,7 @@ 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
# ---------------------------------------------------------------------------
+11 -147
View File
@@ -44,31 +44,22 @@ _TOOL_CALL_LEAK_PATTERN = re.compile(
# Multimodal content helpers
# ---------------------------------------------------------------------------
def _chat_content_to_responses_parts(content: Any, *, role: str = "user") -> List[Dict[str, Any]]:
def _chat_content_to_responses_parts(content: Any) -> List[Dict[str, Any]]:
"""Convert chat-style multimodal content to Responses API input parts.
Input: ``[{"type":"text"|"image_url", ...}]`` (native OpenAI Chat format)
Output: ``[{"type":"input_text"|"output_text"|"input_image", ...}]`` (Responses format)
The ``role`` parameter controls the text content type:
- ``"user"`` (default) → ``"input_text"``
- ``"assistant"`` → ``"output_text"``
The Responses API rejects ``input_text`` inside assistant messages and
``output_text`` inside user messages, so callers MUST pass the correct
role for the message being converted.
Output: ``[{"type":"input_text"|"input_image", ...}]`` (Responses format)
Returns an empty list when ``content`` is not a list or contains no
recognized parts — callers fall back to the string path.
"""
text_type = "output_text" if role == "assistant" else "input_text"
if not isinstance(content, list):
return []
converted: List[Dict[str, Any]] = []
for part in content:
if isinstance(part, str):
if part:
converted.append({"type": text_type, "text": part})
converted.append({"type": "input_text", "text": part})
continue
if not isinstance(part, dict):
continue
@@ -76,7 +67,7 @@ def _chat_content_to_responses_parts(content: Any, *, role: str = "user") -> Lis
if ptype in {"text", "input_text", "output_text"}:
text = part.get("text")
if isinstance(text, str) and text:
converted.append({"type": text_type, "text": text})
converted.append({"type": "input_text", "text": text})
continue
if ptype in {"image_url", "input_image"}:
image_ref = part.get("image_url")
@@ -227,23 +218,6 @@ def _responses_tools(tools: Optional[List[Dict[str, Any]]] = None) -> Optional[L
# Message format conversion
# ---------------------------------------------------------------------------
_RESPONSE_MESSAGE_STATUSES = {"completed", "incomplete", "in_progress"}
def _normalize_responses_message_status(value: Any, *, default: str = "completed") -> str:
"""Normalize a Responses assistant message status for replay.
The API accepts completed/incomplete/in_progress on replayed assistant
output messages. Preserve those exactly (modulo case/hyphen spelling) so
incomplete Codex continuation turns don't get falsely marked completed.
"""
if isinstance(value, str):
status = value.strip().lower().replace("-", "_").replace(" ", "_")
if status in _RESPONSE_MESSAGE_STATUSES:
return status
return default
def _chat_messages_to_responses_input(messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""Convert internal chat-style messages to Responses input items."""
items: List[Dict[str, Any]] = []
@@ -259,10 +233,9 @@ def _chat_messages_to_responses_input(messages: List[Dict[str, Any]]) -> List[Di
if role in {"user", "assistant"}:
content = msg.get("content", "")
if isinstance(content, list):
content_parts = _chat_content_to_responses_parts(content, role=role)
text_type = "output_text" if role == "assistant" else "input_text"
content_parts = _chat_content_to_responses_parts(content)
content_text = "".join(
p.get("text", "") for p in content_parts if p.get("type") == text_type
p.get("text", "") for p in content_parts if p.get("type") == "input_text"
)
else:
content_parts = []
@@ -289,57 +262,7 @@ def _chat_messages_to_responses_input(messages: List[Dict[str, Any]]) -> List[Di
seen_item_ids.add(item_id)
has_codex_reasoning = True
# Replay exact assistant message items (with id/phase) from
# previous turns so the API can maintain prefix-cache hits.
# OpenAI docs: "preserve and resend phase on all assistant
# messages — dropping it can degrade performance."
codex_message_items = msg.get("codex_message_items")
replayed_message_items = 0
if isinstance(codex_message_items, list):
for raw_item in codex_message_items:
if not isinstance(raw_item, dict):
continue
if raw_item.get("type") != "message" or raw_item.get("role") != "assistant":
continue
raw_content_parts = raw_item.get("content")
if not isinstance(raw_content_parts, list):
continue
normalized_content_parts = []
for part in raw_content_parts:
if not isinstance(part, dict):
continue
part_type = str(part.get("type") or "").strip()
if part_type not in {"output_text", "text"}:
continue
text = part.get("text", "")
if text is None:
text = ""
if not isinstance(text, str):
text = str(text)
normalized_content_parts.append({"type": "output_text", "text": text})
if not normalized_content_parts:
continue
replay_item = {
"type": "message",
"role": "assistant",
"status": _normalize_responses_message_status(raw_item.get("status")),
"content": normalized_content_parts,
}
item_id = raw_item.get("id")
if isinstance(item_id, str) and item_id.strip():
replay_item["id"] = item_id.strip()
phase = raw_item.get("phase")
if isinstance(phase, str) and phase.strip():
replay_item["phase"] = phase.strip()
items.append(replay_item)
replayed_message_items += 1
if replayed_message_items > 0:
pass
elif content_parts:
if content_parts:
items.append({"role": "assistant", "content": content_parts})
elif content_text.strip():
items.append({"role": "assistant", "content": content_text})
@@ -499,47 +422,6 @@ def _preflight_codex_input_items(raw_items: Any) -> List[Dict[str, Any]]:
normalized.append(reasoning_item)
continue
if item_type == "message":
role = item.get("role")
if role != "assistant":
raise ValueError(f"Codex Responses input[{idx}] message items must have role='assistant'.")
content = item.get("content")
if not isinstance(content, list):
raise ValueError(f"Codex Responses input[{idx}] message item must have content list.")
normalized_content = []
for part_idx, part in enumerate(content):
if not isinstance(part, dict):
raise ValueError(
f"Codex Responses input[{idx}] message content[{part_idx}] must be an object."
)
part_type = part.get("type")
if part_type not in {"output_text", "text"}:
raise ValueError(
f"Codex Responses input[{idx}] message content[{part_idx}] has unsupported type {part_type!r}."
)
text = part.get("text", "")
if text is None:
text = ""
if not isinstance(text, str):
text = str(text)
normalized_content.append({"type": "output_text", "text": text})
if not normalized_content:
raise ValueError(f"Codex Responses input[{idx}] message item must contain at least one text part.")
normalized_item: Dict[str, Any] = {
"type": "message",
"role": "assistant",
"status": _normalize_responses_message_status(item.get("status")),
"content": normalized_content,
}
item_id = item.get("id")
if isinstance(item_id, str) and item_id.strip():
normalized_item["id"] = item_id.strip()
phase = item.get("phase")
if isinstance(phase, str) and phase.strip():
normalized_item["phase"] = phase.strip()
normalized.append(normalized_item)
continue
role = item.get("role")
if role in {"user", "assistant"}:
content = item.get("content", "")
@@ -547,16 +429,13 @@ def _preflight_codex_input_items(raw_items: Any) -> List[Dict[str, Any]]:
content = ""
if isinstance(content, list):
# Multimodal content from ``_chat_messages_to_responses_input``
# is already in Responses format (``input_text`` / ``output_text``
# / ``input_image``). Validate each part and pass through.
# Use the correct text type for the role — ``output_text`` for
# assistant messages, ``input_text`` for user messages.
text_type = "output_text" if role == "assistant" else "input_text"
# is already in Responses format (``input_text`` / ``input_image``).
# Validate each part and pass through.
validated: List[Dict[str, Any]] = []
for part_idx, part in enumerate(content):
if isinstance(part, str):
if part:
validated.append({"type": text_type, "text": part})
validated.append({"type": "input_text", "text": part})
continue
if not isinstance(part, dict):
raise ValueError(
@@ -567,7 +446,7 @@ def _preflight_codex_input_items(raw_items: Any) -> List[Dict[str, Any]]:
text = part.get("text", "")
if not isinstance(text, str):
text = str(text or "")
validated.append({"type": text_type, "text": text})
validated.append({"type": "input_text", "text": text})
elif ptype in {"input_image", "image_url"}:
image_ref = part.get("image_url", "")
detail = part.get("detail")
@@ -824,7 +703,6 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
content_parts: List[str] = []
reasoning_parts: List[str] = []
reasoning_items_raw: List[Dict[str, Any]] = []
message_items_raw: List[Dict[str, Any]] = []
tool_calls: List[Any] = []
has_incomplete_items = response_status in {"queued", "in_progress", "incomplete"}
saw_commentary_phase = False
@@ -843,7 +721,6 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
if item_type == "message":
item_phase = getattr(item, "phase", None)
normalized_phase = None
if isinstance(item_phase, str):
normalized_phase = item_phase.strip().lower()
if normalized_phase in {"commentary", "analysis"}:
@@ -853,18 +730,6 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
message_text = _extract_responses_message_text(item)
if message_text:
content_parts.append(message_text)
raw_message_item: Dict[str, Any] = {
"type": "message",
"role": "assistant",
"status": _normalize_responses_message_status(item_status),
"content": [{"type": "output_text", "text": message_text}],
}
item_id = getattr(item, "id", None)
if isinstance(item_id, str) and item_id:
raw_message_item["id"] = item_id
if normalized_phase:
raw_message_item["phase"] = normalized_phase
message_items_raw.append(raw_message_item)
elif item_type == "reasoning":
reasoning_text = _extract_responses_reasoning_text(item)
if reasoning_text:
@@ -977,7 +842,6 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
reasoning_content=None,
reasoning_details=None,
codex_reasoning_items=reasoning_items_raw or None,
codex_message_items=message_items_raw or None,
)
if tool_calls:
+5 -120
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
@@ -365,13 +318,6 @@ class ContextCompressor(ContextEngine):
int(context_length * self.threshold_percent),
MINIMUM_CONTEXT_LENGTH,
)
# Recalculate token budgets for the new context length so the
# compressor stays calibrated after a model switch (e.g. 200K → 32K).
target_tokens = int(self.threshold_tokens * self.summary_target_ratio)
self.tail_token_budget = target_tokens
self.max_summary_tokens = min(
int(context_length * 0.05), _SUMMARY_TOKENS_CEILING,
)
def __init__(
self,
@@ -445,17 +391,6 @@ 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 +477,7 @@ 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 +850,10 @@ 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 +1075,8 @@ 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 +1145,6 @@ 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 +1223,11 @@ 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
+1 -2
View File
@@ -223,8 +223,7 @@ def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -
target = args.get("target", "")
if action == "add":
content = _oneline(args.get("content", ""))
target_prefix = f"+{target}: " if target else "+"
return f"{target_prefix}\"{content[:25]}{'...' if len(content) > 25 else ''}\""
return f"+{target}: \"{content[:25]}{'...' if len(content) > 25 else ''}\""
elif action == "replace":
old = _oneline(args.get("old_text") or "") or "<missing old_text>"
return f"~{target}: \"{old[:20]}\""
-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, "
+33 -88
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",
@@ -110,11 +106,9 @@ _endpoint_model_metadata_cache_time: Dict[str, float] = {}
_ENDPOINT_MODEL_CACHE_TTL = 300
# Descending tiers for context length probing when the model is unknown.
# We start at 256K (covers GPT-5.x, many current large-context models) and
# step down on context-length errors until one works. Tier[0] is also the
# default fallback when no detection method succeeds.
# We start at 128K (a safe default for most modern models) and step down
# on context-length errors until one works.
CONTEXT_PROBE_TIERS = [
256_000,
128_000,
64_000,
32_000,
@@ -149,11 +143,10 @@ DEFAULT_CONTEXT_LENGTHS = {
"claude": 200000,
# OpenAI — GPT-5 family (most have 400k; specific overrides first)
# Source: https://developers.openai.com/api/docs/models
# GPT-5.5 (launched Apr 23 2026) is 1.05M on the direct OpenAI API and
# ChatGPT Codex OAuth caps it at 272K; both paths resolve via their own
# provider-aware branches (_resolve_codex_oauth_context_length + models.dev).
# This hardcoded value is only reached when every probe misses.
"gpt-5.5": 1050000,
# GPT-5.5 (launched Apr 23 2026). 400k is the fallback for providers we
# can't probe live. ChatGPT Codex OAuth actually caps lower (272k as of
# Apr 2026) and is resolved via _resolve_codex_oauth_context_length().
"gpt-5.5": 400000,
"gpt-5.4-nano": 400000, # 400k (not 1.05M like full 5.4)
"gpt-5.4-mini": 400000, # 400k (not 1.05M like full 5.4)
"gpt-5.4": 1050000, # GPT-5.4, GPT-5.4 Pro (1.05M context)
@@ -169,17 +162,7 @@ DEFAULT_CONTEXT_LENGTHS = {
"gemma-4-31b": 256000,
"gemma-3": 131072,
"gemma": 8192, # fallback for older gemma models
# DeepSeek — V4 family ships with a 1M context window. The legacy
# aliases ``deepseek-chat`` / ``deepseek-reasoner`` are server-side
# mapped to the non-thinking / thinking modes of ``deepseek-v4-flash``
# and inherit the same 1M window. The ``deepseek`` substring entry
# below remains as a 128K fallback for older / unknown DeepSeek model
# ids (e.g. via custom endpoints).
# https://api-docs.deepseek.com/zh-cn/quick_start/pricing
"deepseek-v4-pro": 1_000_000,
"deepseek-v4-flash": 1_000_000,
"deepseek-chat": 1_000_000,
"deepseek-reasoner": 1_000_000,
# DeepSeek
"deepseek": 128000,
# Meta
"llama": 131072,
@@ -210,8 +193,6 @@ 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 +294,6 @@ _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 +604,8 @@ 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 +689,6 @@ 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 +972,10 @@ 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}")
@@ -1232,7 +1193,6 @@ def get_model_context_length(
api_key: str = "",
config_context_length: int | None = None,
provider: str = "",
custom_providers: list | None = None,
) -> int:
"""Get the context length for a model.
@@ -1253,33 +1213,13 @@ def get_model_context_length(
if config_context_length is not None and isinstance(config_context_length, int) and config_context_length > 0:
return config_context_length
# 0b. custom_providers per-model override — check before any probe.
# This closes the gap where /model switch and display paths used to fall
# back to 128K despite the user having a per-model context_length set.
# See #15779.
if custom_providers and base_url and model:
try:
from hermes_cli.config import get_custom_provider_context_length
cp_ctx = get_custom_provider_context_length(
model=model,
base_url=base_url,
custom_providers=custom_providers,
)
if cp_ctx:
return cp_ctx
except Exception:
pass # fall through to probing
# Normalise provider-prefixed model names (e.g. "local:model-name" →
# "model-name") so cache lookups and server queries use the bare ID that
# local servers actually know about. Ollama "model:tag" colons are preserved.
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 +1264,28 @@ 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 +1343,6 @@ 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)
@@ -1406,7 +1352,7 @@ def get_model_context_length(
# 6. OpenRouter live API metadata (provider-unaware fallback)
metadata = fetch_model_metadata()
if model in metadata:
return metadata[model].get("context_length", DEFAULT_FALLBACK_CONTEXT)
return metadata[model].get("context_length", 128000)
# 8. Hardcoded defaults (fuzzy match — longest key first for specificity)
# Only check `default_model in model` (is the key a substring of the input).
@@ -1423,8 +1369,7 @@ 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 -144
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:
@@ -181,145 +180,3 @@ def format_remaining(seconds: float) -> str:
h, remainder = divmod(s, 3600)
m = remainder // 60
return f"{h}h {m}m" if m else f"{h}h"
# Buckets with reset windows shorter than this are treated as transient
# (upstream jitter, secondary throttling) rather than a genuine quota
# exhaustion worth a cross-session breaker trip.
_MIN_RESET_FOR_BREAKER_SECONDS = 60.0
def is_genuine_nous_rate_limit(
*,
headers: Optional[Mapping[str, str]] = None,
last_known_state: Optional[Any] = None,
) -> bool:
"""Decide whether a 429 from Nous Portal is a real account rate limit.
Nous Portal multiplexes multiple upstream providers (DeepSeek, Kimi,
MiMo, Hermes, ...) behind one endpoint. A 429 can mean either:
(a) The caller's own RPM / RPH / TPM / TPH bucket on Nous is
exhausted a genuine rate limit that will last until the
bucket resets.
(b) The upstream provider is out of capacity for a specific model
transient, clears in seconds, and has nothing to do with
the caller's quota on Nous.
Tripping the cross-session breaker on (b) blocks ALL Nous requests
(and all models, since Nous is one provider key) for minutes even
though the caller's account is healthy and a different model would
have worked. That's the bug users hit when DeepSeek V4 Pro 429s
trigger a breaker that then blocks Kimi 2.6 and MiMo V2.5 Pro.
We tell the two apart by looking at:
1. The 429 response's own ``x-ratelimit-*`` headers. Nous emits
the full suite on every response including 429s. An exhausted
bucket (``remaining == 0`` with a reset window >= 60s) is
proof of (a).
2. The last-known-good rate-limit state captured by
``_capture_rate_limits()`` on the previous successful
response. If any bucket there was already near-exhausted with
a substantial reset window, the current 429 is almost
certainly (a) continuing from that condition.
If neither signal fires, we treat the 429 as (b): fail the single
request, let the retry loop or model-switch proceed, and do NOT
write the cross-session breaker file.
Returns True when the evidence points at (a).
"""
# Signal 1: current 429 response headers.
state = _parse_buckets_from_headers(headers)
if _has_exhausted_bucket(state):
return True
# Signal 2: last-known-good state from a recent successful response.
# Accepts either a RateLimitState (dataclass from rate_limit_tracker)
# or a dict of bucket snapshots.
if last_known_state is not None and _has_exhausted_bucket_in_object(last_known_state):
return True
return False
def _parse_buckets_from_headers(
headers: Optional[Mapping[str, str]],
) -> dict[str, tuple[Optional[int], Optional[float]]]:
"""Extract (remaining, reset_seconds) per bucket from x-ratelimit-* headers.
Returns empty dict when no rate-limit headers are present.
"""
if not headers:
return {}
lowered = {k.lower(): v for k, v in headers.items()}
if not any(k.startswith("x-ratelimit-") for k in lowered):
return {}
def _maybe_int(raw: Optional[str]) -> Optional[int]:
if raw is None:
return None
try:
return int(float(raw))
except (TypeError, ValueError):
return None
def _maybe_float(raw: Optional[str]) -> Optional[float]:
if raw is None:
return None
try:
return float(raw)
except (TypeError, ValueError):
return None
result: dict[str, tuple[Optional[int], Optional[float]]] = {}
for tag in ("requests", "requests-1h", "tokens", "tokens-1h"):
remaining = _maybe_int(lowered.get(f"x-ratelimit-remaining-{tag}"))
reset = _maybe_float(lowered.get(f"x-ratelimit-reset-{tag}"))
if remaining is not None or reset is not None:
result[tag] = (remaining, reset)
return result
def _has_exhausted_bucket(
buckets: Mapping[str, tuple[Optional[int], Optional[float]]],
) -> bool:
"""Return True when any bucket has remaining == 0 AND a meaningful reset window."""
for remaining, reset in buckets.values():
if remaining is None or remaining > 0:
continue
if reset is None:
continue
if reset >= _MIN_RESET_FOR_BREAKER_SECONDS:
return True
return False
def _has_exhausted_bucket_in_object(state: Any) -> bool:
"""Check a RateLimitState-like object for an exhausted bucket.
Accepts the dataclass from ``agent.rate_limit_tracker`` (buckets
exposed as attributes ``requests_min``, ``requests_hour``,
``tokens_min``, ``tokens_hour``) and falls back gracefully for any
object missing those attributes.
"""
for attr in ("requests_min", "requests_hour", "tokens_min", "tokens_hour"):
bucket = getattr(state, attr, None)
if bucket is None:
continue
limit = getattr(bucket, "limit", 0) or 0
remaining = getattr(bucket, "remaining", 0) or 0
# Prefer the adjusted "remaining_seconds_now" property when present;
# fall back to raw reset_seconds.
reset = getattr(bucket, "remaining_seconds_now", None)
if reset is None:
reset = getattr(bucket, "reset_seconds", 0.0) or 0.0
if limit <= 0:
continue
if remaining > 0:
continue
if reset >= _MIN_RESET_FOR_BREAKER_SECONDS:
return True
return False
-191
View File
@@ -1,191 +0,0 @@
"""
Contextual first-touch onboarding hints.
Instead of blocking first-run questionnaires, show a one-time hint the *first*
time a user hits a behavior fork message-while-running, first long-running
tool, etc. Each hint is shown once per install (tracked in ``config.yaml`` under
``onboarding.seen.<flag>``) and then never again.
Keep this module tiny and dependency-free so both the CLI and gateway can import
it without pulling in heavy modules.
"""
from __future__ import annotations
import logging
from pathlib import Path
from typing import Any, Mapping, Optional
logger = logging.getLogger(__name__)
# -------------------------------------------------------------------------
# Flag names (stable — used as config.yaml keys under onboarding.seen)
# -------------------------------------------------------------------------
BUSY_INPUT_FLAG = "busy_input_prompt"
TOOL_PROGRESS_FLAG = "tool_progress_prompt"
OPENCLAW_RESIDUE_FLAG = "openclaw_residue_cleanup"
# -------------------------------------------------------------------------
# Hint content
# -------------------------------------------------------------------------
def busy_input_hint_gateway(mode: str) -> str:
"""Hint shown the first time a user messages while the agent is busy.
``mode`` is the effective busy_input_mode that was just applied, so the
message matches reality ("I just interrupted…" vs "I just queued…").
"""
if mode == "queue":
return (
"💡 First-time tip — I queued your message instead of interrupting. "
"Send `/busy interrupt` to make new messages stop the current task "
"immediately, or `/busy status` to check. This notice won't appear again."
)
if mode == "steer":
return (
"💡 First-time tip — I steered your message into the current run; "
"it will arrive after the next tool call instead of interrupting. "
"Send `/busy interrupt` or `/busy queue` to change this, or "
"`/busy status` to check. This notice won't appear again."
)
return (
"💡 First-time tip — I just interrupted my current task to answer you. "
"Send `/busy queue` to queue follow-ups for after the current task instead, "
"`/busy steer` to inject them mid-run without interrupting, or "
"`/busy status` to check. This notice won't appear again."
)
def busy_input_hint_cli(mode: str) -> str:
"""CLI version of the busy-input hint (plain text, no markdown)."""
if mode == "queue":
return (
"(tip) Your message was queued for the next turn. "
"Use /busy interrupt to make Enter stop the current run instead, "
"or /busy steer to inject mid-run. This tip only shows once."
)
if mode == "steer":
return (
"(tip) Your message was steered into the current run; it arrives "
"after the next tool call. Use /busy interrupt or /busy queue to "
"change this. This tip only shows once."
)
return (
"(tip) Your message interrupted the current run. "
"Use /busy queue to queue messages for the next turn instead, "
"or /busy steer to inject mid-run. This tip only shows once."
)
def tool_progress_hint_gateway() -> str:
return (
"💡 First-time tip — that tool took a while and I'm streaming every step. "
"If the progress messages feel noisy, send `/verbose` to cycle modes "
"(all → new → off). This notice won't appear again."
)
def tool_progress_hint_cli() -> str:
return (
"(tip) That tool ran for a while. Use /verbose to cycle tool-progress "
"display modes (all -> new -> off -> verbose). This tip only shows once."
)
def openclaw_residue_hint_cli() -> str:
"""Banner shown the first time Hermes starts and finds ``~/.openclaw/``.
OpenClaw-era config, memory, and skill paths in ``~/.openclaw/`` will
otherwise attract the agent (memory entries like ``~/.openclaw/config.yaml``
get carried forward and the agent dutifully reads them). ``hermes claw
cleanup`` renames the directory so the agent stops finding it.
"""
return (
"Heads up — an OpenClaw workspace was detected at ~/.openclaw/.\n"
"After migrating, the agent can still get confused and read that "
"directory's config/memory instead of Hermes's.\n"
"Run `hermes claw cleanup` to archive it (rename → .openclaw.pre-migration). "
"This tip only shows once; rerun it any time with `hermes claw cleanup`."
)
def detect_openclaw_residue(home: Optional[Path] = None) -> bool:
"""Return True if an OpenClaw workspace directory is present in ``$HOME``.
Pure filesystem check no side effects. ``home`` override exists for tests.
"""
base = home or Path.home()
try:
return (base / ".openclaw").is_dir()
except OSError:
return False
# -------------------------------------------------------------------------
# State read / write
# -------------------------------------------------------------------------
def _get_seen_dict(config: Mapping[str, Any]) -> Mapping[str, Any]:
onboarding = config.get("onboarding") if isinstance(config, Mapping) else None
if not isinstance(onboarding, Mapping):
return {}
seen = onboarding.get("seen")
return seen if isinstance(seen, Mapping) else {}
def is_seen(config: Mapping[str, Any], flag: str) -> bool:
"""Return True if the user has already been shown this first-touch hint."""
return bool(_get_seen_dict(config).get(flag))
def mark_seen(config_path: Path, flag: str) -> bool:
"""Persist ``onboarding.seen.<flag> = True`` to ``config_path``.
Uses the atomic YAML writer so a concurrent process can't observe a
partially-written file. Returns True on success, False on any error
(including the config file being absent onboarding is best-effort).
"""
try:
import yaml
from utils import atomic_yaml_write
except Exception as e: # pragma: no cover — dependency issue
logger.debug("onboarding: failed to import yaml/utils: %s", e)
return False
try:
cfg: dict = {}
if config_path.exists():
with open(config_path, encoding="utf-8") as f:
cfg = yaml.safe_load(f) or {}
if not isinstance(cfg.get("onboarding"), dict):
cfg["onboarding"] = {}
seen = cfg["onboarding"].get("seen")
if not isinstance(seen, dict):
seen = {}
cfg["onboarding"]["seen"] = seen
if seen.get(flag) is True:
return True # already marked — nothing to do
seen[flag] = True
atomic_yaml_write(config_path, cfg)
return True
except Exception as e:
logger.debug("onboarding: failed to mark flag %s: %s", flag, e)
return False
__all__ = [
"BUSY_INPUT_FLAG",
"TOOL_PROGRESS_FLAG",
"OPENCLAW_RESIDUE_FLAG",
"busy_input_hint_gateway",
"busy_input_hint_cli",
"tool_progress_hint_gateway",
"tool_progress_hint_cli",
"openclaw_residue_hint_cli",
"detect_openclaw_residue",
"is_seen",
"mark_seen",
]
-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 "
+3 -7
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 = [
@@ -261,7 +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",
)
+2 -7
View File
@@ -23,14 +23,9 @@ def get_transport(api_mode: str):
This allows gradual migration call sites can check for None
and fall back to the legacy code path.
"""
cls = _REGISTRY.get(api_mode)
if cls is None:
# The registry can be partially populated when a specific transport
# module was imported directly (for example chat_completions before
# codex). Discover on misses, not only when the registry is empty, so
# test/order-dependent imports do not make valid api_modes unavailable.
if not _REGISTRY:
_discover_transports()
cls = _REGISTRY.get(api_mode)
cls = _REGISTRY.get(api_mode)
if cls is None:
return None
return cls()
+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),
)
)
+6 -97
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'.
@@ -84,15 +31,15 @@ class ChatCompletionsTransport(ProviderTransport):
def convert_messages(self, messages: List[Dict[str, Any]], **kwargs) -> List[Dict[str, Any]]:
"""Messages are already in OpenAI format — sanitize Codex leaks only.
Strips Codex Responses API fields (``codex_reasoning_items`` /
``codex_message_items`` on the message, ``call_id``/``response_item_id``
on tool_calls) that strict chat-completions providers reject with 400/422.
Strips Codex Responses API fields (``codex_reasoning_items`` on the
message, ``call_id``/``response_item_id`` on tool_calls) that strict
chat-completions providers reject with 400/422.
"""
needs_sanitize = False
for msg in messages:
if not isinstance(msg, dict):
continue
if "codex_reasoning_items" in msg or "codex_message_items" in msg:
if "codex_reasoning_items" in msg:
needs_sanitize = True
break
tool_calls = msg.get("tool_calls")
@@ -112,7 +59,6 @@ class ChatCompletionsTransport(ProviderTransport):
if not isinstance(msg, dict):
continue
msg.pop("codex_reasoning_items", None)
msg.pop("codex_message_items", None)
tool_calls = msg.get("tool_calls")
if isinstance(tool_calls, list):
for tc in tool_calls:
@@ -154,7 +100,6 @@ 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 +113,6 @@ 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 +187,6 @@ 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 +218,12 @@ 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 +239,8 @@ 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 +276,6 @@ 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 -21
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):
@@ -120,24 +120,6 @@ class ResponsesApiTransport(ProviderTransport):
if request_overrides:
kwargs.update(request_overrides)
if is_codex_backend:
prompt_cache_key = kwargs.get("prompt_cache_key")
cache_scope_id = str(prompt_cache_key or session_id or "").strip()
if cache_scope_id:
existing_extra_headers = kwargs.get("extra_headers")
merged_extra_headers: Dict[str, str] = {}
if isinstance(existing_extra_headers, dict):
merged_extra_headers.update(
{
str(key): str(value)
for key, value in existing_extra_headers.items()
if key and value is not None
}
)
merged_extra_headers["session_id"] = cache_scope_id
merged_extra_headers["x-client-request-id"] = cache_scope_id
kwargs["extra_headers"] = merged_extra_headers
max_tokens = params.get("max_tokens")
if max_tokens is not None and not is_codex_backend:
kwargs["max_output_tokens"] = max_tokens
@@ -151,6 +133,8 @@ 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)
@@ -176,8 +160,6 @@ class ResponsesApiTransport(ProviderTransport):
provider_data = {}
if msg and hasattr(msg, "codex_reasoning_items") and msg.codex_reasoning_items:
provider_data["codex_reasoning_items"] = msg.codex_reasoning_items
if msg and hasattr(msg, "codex_message_items") and msg.codex_message_items:
provider_data["codex_message_items"] = msg.codex_message_items
if msg and hasattr(msg, "reasoning_details") and msg.reasoning_details:
provider_data["reasoning_details"] = msg.reasoning_details
+1 -6
View File
@@ -97,7 +97,7 @@ class NormalizedResponse:
Response-level ``provider_data`` examples:
* Anthropic: ``{"reasoning_details": [...]}``
* Codex: ``{"codex_reasoning_items": [...], "codex_message_items": [...]}``
* Codex: ``{"codex_reasoning_items": [...]}``
* Others: ``None``
"""
@@ -126,11 +126,6 @@ class NormalizedResponse:
pd = self.provider_data or {}
return pd.get("codex_reasoning_items")
@property
def codex_message_items(self):
pd = self.provider_data or {}
return pd.get("codex_message_items")
# ---------------------------------------------------------------------------
# Factory helpers
+16 -42
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
@@ -790,16 +790,9 @@ code_execution:
# Supports single tasks and batch mode (default 3 parallel, configurable).
delegation:
max_iterations: 50 # Max tool-calling turns per child (default: 50)
# max_concurrent_children: 3 # Max parallel child agents per batch (default: 3, floor: 1, no ceiling).
# WARNING: values above 10 multiply API cost linearly.
# max_spawn_depth: 1 # Delegation tree depth cap (range: 1-3, default: 1 = flat).
# Raise to 2 to allow workers to spawn their own subagents.
# Requires role="orchestrator" on intermediate agents.
# max_concurrent_children: 3 # Max parallel child agents (default: 3)
# max_spawn_depth: 1 # Tree depth cap (1-3, default: 1 = flat). Raise to 2 or 3 to allow orchestrator children to spawn their own workers.
# orchestrator_enabled: true # Kill switch for role="orchestrator" children (default: true).
# subagent_auto_approve: false # When a subagent hits a dangerous-command approval prompt, auto-deny (default: false)
# or auto-approve "once" (true) instead of blocking on stdin.
# The parent TUI owns stdin, so blocking would deadlock; non-interactive resolution is required.
# Both choices emit a logger.warning audit line. Flip to true only for cron/batch pipelines.
# inherit_mcp_toolsets: true # When explicit child toolsets are narrowed, also keep the parent's MCP toolsets (default: true). Set false for strict intersection.
# model: "google/gemini-3-flash-preview" # Override model for subagents (empty = inherit parent)
# provider: "openrouter" # Override provider for subagents (empty = inherit parent)
@@ -824,9 +817,7 @@ delegation:
# Display
# =============================================================================
display:
# Use compact banner mode (hides the ASCII-art banner, shows a single line).
# true: Compact single-line banner
# false: Full ASCII banner with tool/skill summary (default)
# Use compact banner mode
compact: false
# Tool progress display level (CLI and gateway)
@@ -840,19 +831,12 @@ display:
# Gateway-only natural mid-turn assistant updates.
# When true, completed assistant status messages are sent as separate chat
# messages. This is independent of tool_progress and gateway streaming.
# true: Send mid-turn assistant updates as separate messages (default)
# false: Only send the final response
interim_assistant_messages: true
# What Enter does when Hermes is already busy (CLI and gateway platforms).
# What Enter does when Hermes is already busy in the CLI.
# interrupt: Interrupt the current run and redirect Hermes (default)
# queue: Queue your message for the next turn
# steer: Inject your message mid-run via /steer, arriving at the agent
# after the next tool call — no interrupt, no role violation.
# Falls back to 'queue' if the agent isn't running yet or if
# images are attached (steer only carries text).
# Ctrl+C (or /stop in gateway) always interrupts regardless of this setting.
# Toggle at runtime with /busy <interrupt|queue|steer>.
# Ctrl+C always interrupts regardless of this setting.
busy_input_mode: interrupt
# Background process notifications (gateway/messaging only).
@@ -868,22 +852,17 @@ display:
# Play terminal bell when agent finishes a response.
# Useful for long-running tasks — your terminal will ding when the agent is done.
# Works over SSH. Most terminals can be configured to flash the taskbar or play a sound.
# true: Ring the terminal bell on each response
# false: Silent (default)
bell_on_complete: false
# Show model reasoning/thinking before each response.
# When enabled, a dim box shows the model's thought process above the response.
# Toggle at runtime with /reasoning show or /reasoning hide.
# true: Show the reasoning box
# false: Hide reasoning (default)
show_reasoning: false
# Stream tokens to the terminal as they arrive instead of waiting for the
# full response. The response box opens on first token and text appears
# line-by-line. Tool calls are still captured silently.
# true: Stream tokens as they arrive (default)
# false: Wait for the full response before rendering
# Stream tokens to the terminal in real-time. Disable to wait for full responses.
streaming: true
# ───────────────────────────────────────────────────────────────────────────
@@ -893,15 +872,10 @@ display:
# response box label, and branding text. Change at runtime with /skin <name>.
#
# Built-in skins:
# default — Classic Hermes gold/kawaii
# ares — Crimson/bronze war-god theme with spinner wings
# mono — Clean grayscale monochrome
# slate — Cool blue developer-focused
# daylight — Bright light-mode theme
# warm-lightmode — Warm paper-tone light-mode theme
# poseidon — Sea-green/teal Olympian theme
# sisyphus — Earthy stone-and-moss theme
# charizard — Fiery orange dragon theme
# default — Classic Hermes gold/kawaii
# ares — Crimson/bronze war-god theme with spinner wings
# mono — Clean grayscale monochrome
# slate — Cool blue developer-focused
#
# Custom skins: drop a YAML file in ~/.hermes/skins/<name>.yaml
# Schema (all fields optional, missing values inherit from default):
+227 -569
View File
File diff suppressed because it is too large Load Diff
+6 -48
View File
@@ -16,12 +16,11 @@ import uuid
from datetime import datetime, timedelta
from pathlib import Path
from hermes_constants import get_hermes_home
from typing import Optional, Dict, List, Any, Union
from typing import Optional, Dict, List, Any
logger = logging.getLogger(__name__)
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:
@@ -424,7 +417,6 @@ def create_job(
provider: Optional[str] = None,
base_url: Optional[str] = None,
script: Optional[str] = None,
context_from: Optional[Union[str, List[str]]] = None,
enabled_toolsets: Optional[List[str]] = None,
workdir: Optional[str] = None,
) -> Dict[str, Any]:
@@ -446,9 +438,6 @@ def create_job(
script: Optional path to a Python script whose stdout is injected into the
prompt each run. The script runs before the agent turn, and its output
is prepended as context. Useful for data collection / change detection.
context_from: Optional job ID (or list of job IDs) whose most recent output
is injected into the prompt as context before each run.
Useful for chaining cron jobs: job A finds data, job B processes it.
enabled_toolsets: Optional list of toolset names to restrict the agent to.
When set, only tools from these toolsets are loaded, reducing
token overhead. When omitted, all default tools are loaded.
@@ -492,14 +481,6 @@ def create_job(
normalized_toolsets = normalized_toolsets or None
normalized_workdir = _normalize_workdir(workdir)
# Normalize context_from: accept str or list of str, store as list or None
if isinstance(context_from, str):
context_from = [context_from.strip()] if context_from.strip() else None
elif isinstance(context_from, list):
context_from = [str(j).strip() for j in context_from if str(j).strip()] or None
else:
context_from = None
label_source = (prompt or (normalized_skills[0] if normalized_skills else None)) or "cron job"
job = {
"id": job_id,
@@ -511,7 +492,6 @@ def create_job(
"provider": normalized_provider,
"base_url": normalized_base_url,
"script": normalized_script,
"context_from": context_from,
"schedule": parsed_schedule,
"schedule_display": parsed_schedule.get("display", schedule),
"repeat": {
@@ -705,32 +685,10 @@ 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 +822,7 @@ 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 -80
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
@@ -674,51 +671,10 @@ def _build_job_prompt(job: dict, prerun_script: Optional[tuple] = None) -> str:
f"{prompt}"
)
# Inject output from referenced cron jobs as context.
context_from = job.get("context_from")
if context_from:
from cron.jobs import OUTPUT_DIR
if isinstance(context_from, str):
context_from = [context_from]
for source_job_id in context_from:
# Guard against path traversal — valid job IDs are 12-char hex strings
if not source_job_id or not all(c in "0123456789abcdef" for c in source_job_id):
logger.warning("context_from: skipping invalid job_id %r", source_job_id)
continue
try:
job_output_dir = OUTPUT_DIR / source_job_id
if not job_output_dir.exists():
continue # silent skip — no output yet
output_files = sorted(
job_output_dir.glob("*.md"),
key=lambda f: f.stat().st_mtime,
reverse=True,
)
if not output_files:
continue # silent skip — no output yet
latest_output = output_files[0].read_text(encoding="utf-8").strip()
# Truncate to 8K characters to avoid prompt bloat
_MAX_CONTEXT_CHARS = 8000
if len(latest_output) > _MAX_CONTEXT_CHARS:
latest_output = latest_output[:_MAX_CONTEXT_CHARS] + "\n\n[... output truncated ...]"
if latest_output:
prompt = (
f"## Output from job '{source_job_id}'\n"
"The following is the most recent output from a preceding "
"cron job. Use it as context for your analysis.\n\n"
f"```\n{latest_output}\n```\n\n"
f"{prompt}"
)
else:
continue # silent skip — empty output
except (OSError, PermissionError) as e:
logger.warning("context_from: failed to read output for job %r: %s", source_job_id, e)
# silent skip — do not pollute the prompt with error messages
# Always prepend cron execution guidance so the agent knows how
# delivery works and can suppress delivery when appropriate.
cron_hint = (
"[IMPORTANT: You are running as a scheduled cron job. "
"[SYSTEM: You are running as a scheduled cron job. "
"DELIVERY: Your final response will be automatically delivered "
"to the user — do NOT use send_message or try to deliver "
"the output yourself. Just produce your report/output as your "
@@ -754,7 +710,7 @@ 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 +718,7 @@ 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 +780,6 @@ 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 +1128,6 @@ 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 +1267,6 @@ 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",
]
-49
View File
@@ -9,7 +9,6 @@ Exposes an HTTP server with endpoints:
- GET /v1/models lists hermes-agent as an available model
- POST /v1/runs start a run, returns run_id immediately (202)
- GET /v1/runs/{run_id}/events SSE stream of structured lifecycle events
- POST /v1/runs/{run_id}/stop interrupt a running agent
- GET /health health check
- GET /health/detailed rich status for cross-container dashboard probing
@@ -587,9 +586,6 @@ class APIServerAdapter(BasePlatformAdapter):
self._run_streams: Dict[str, "asyncio.Queue[Optional[Dict]]"] = {}
# Creation timestamps for orphaned-run TTL sweep
self._run_streams_created: Dict[str, float] = {}
# Active run agent/task references for stop support
self._active_run_agents: Dict[str, Any] = {}
self._active_run_tasks: Dict[str, "asyncio.Task"] = {}
self._session_db: Optional[Any] = None # Lazy-init SessionDB for session continuity
@staticmethod
@@ -2445,7 +2441,6 @@ class APIServerAdapter(BasePlatformAdapter):
stream_delta_callback=_text_cb,
tool_progress_callback=event_cb,
)
self._active_run_agents[run_id] = agent
def _run_sync():
r = agent.run_conversation(
user_message=user_message,
@@ -2485,11 +2480,8 @@ class APIServerAdapter(BasePlatformAdapter):
q.put_nowait(None)
except Exception:
pass
self._active_run_agents.pop(run_id, None)
self._active_run_tasks.pop(run_id, None)
task = asyncio.create_task(_run_and_close())
self._active_run_tasks[run_id] = task
try:
self._background_tasks.add(task)
except TypeError:
@@ -2548,44 +2540,6 @@ class APIServerAdapter(BasePlatformAdapter):
return response
async def _handle_stop_run(self, request: "web.Request") -> "web.Response":
"""POST /v1/runs/{run_id}/stop — interrupt a running agent."""
auth_err = self._check_auth(request)
if auth_err:
return auth_err
run_id = request.match_info["run_id"]
agent = self._active_run_agents.get(run_id)
task = self._active_run_tasks.get(run_id)
if agent is None and task is None:
return web.json_response(_openai_error(f"Run not found: {run_id}", code="run_not_found"), status=404)
if agent is not None:
try:
agent.interrupt("Stop requested via API")
except Exception:
pass
if task is not None and not task.done():
task.cancel()
# Bounded wait: run_conversation() executes in the default
# executor thread which task.cancel() cannot preempt — we rely on
# agent.interrupt() above to break the loop. Cap the wait so a
# slow/unresponsive interrupt can't hang this handler.
try:
await asyncio.wait_for(asyncio.shield(task), timeout=5.0)
except asyncio.TimeoutError:
logger.warning(
"[api_server] stop for run %s timed out after 5s; "
"agent may still be finishing the current step",
run_id,
)
except (asyncio.CancelledError, Exception):
pass
return web.json_response({"run_id": run_id, "status": "stopping"})
async def _sweep_orphaned_runs(self) -> None:
"""Periodically clean up run streams that were never consumed."""
while True:
@@ -2600,8 +2554,6 @@ class APIServerAdapter(BasePlatformAdapter):
logger.debug("[api_server] sweeping orphaned run %s", run_id)
self._run_streams.pop(run_id, None)
self._run_streams_created.pop(run_id, None)
self._active_run_agents.pop(run_id, None)
self._active_run_tasks.pop(run_id, None)
# ------------------------------------------------------------------
# BasePlatformAdapter interface
@@ -2637,7 +2589,6 @@ class APIServerAdapter(BasePlatformAdapter):
# Structured event streaming
self._app.router.add_post("/v1/runs", self._handle_runs)
self._app.router.add_get("/v1/runs/{run_id}/events", self._handle_run_events)
self._app.router.add_post("/v1/runs/{run_id}/stop", self._handle_stop_run)
# Start background sweep to clean up orphaned (unconsumed) run streams
sweep_task = asyncio.create_task(self._sweep_orphaned_runs())
try:
+16 -239
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.
@@ -1161,20 +1025,7 @@ class BasePlatformAdapter(ABC):
self._post_delivery_callbacks: Dict[str, Any] = {}
self._expected_cancelled_tasks: set[asyncio.Task] = set()
self._busy_session_handler: Optional[Callable[[MessageEvent, str], Awaitable[bool]]] = None
# Auto-TTS on voice input: ``_auto_tts_default`` is the global default
# (``voice.auto_tts`` in config.yaml, pushed by GatewayRunner on connect).
# Per-chat overrides live in two sets populated from ``_voice_mode``:
# - ``_auto_tts_enabled_chats``: chat explicitly opted in via ``/voice on``
# or ``/voice tts`` (mode is ``voice_only`` or ``all``). Fires even when
# the global default is False.
# - ``_auto_tts_disabled_chats``: chat explicitly opted out via
# ``/voice off`` (mode is ``off``). Suppresses auto-TTS even when the
# global default is True.
# The gate in _process_message() is:
# fire if chat in _auto_tts_enabled_chats
# OR (_auto_tts_default and chat not in _auto_tts_disabled_chats)
self._auto_tts_default: bool = False
self._auto_tts_enabled_chats: set = set()
# Chats where auto-TTS on voice input is disabled (set by /voice off)
self._auto_tts_disabled_chats: set = set()
# Chats where typing indicator is paused (e.g. during approval waits).
# _keep_typing skips send_typing when the chat_id is in this set.
@@ -1196,21 +1047,6 @@ class BasePlatformAdapter(ABC):
def fatal_error_retryable(self) -> bool:
return self._fatal_error_retryable
def _should_auto_tts_for_chat(self, chat_id: str) -> bool:
"""Whether auto-TTS on voice input should fire for ``chat_id``.
Decision layers (Issue #16007):
1. Explicit ``/voice on`` or ``/voice tts`` always fire (even if
``voice.auto_tts`` is False).
2. Explicit ``/voice off`` never fire.
3. Fall back to the global ``voice.auto_tts`` config default.
"""
if chat_id in self._auto_tts_enabled_chats:
return True
if chat_id in self._auto_tts_disabled_chats:
return False
return bool(self._auto_tts_default)
def set_fatal_error_handler(self, handler: Callable[["BasePlatformAdapter"], Awaitable[None] | None]) -> None:
self._fatal_error_handler = handler
@@ -1394,27 +1230,6 @@ 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 +1557,13 @@ 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 +2015,6 @@ class BasePlatformAdapter(ABC):
"""
if not self._message_handler:
return
coerce_plaintext_gateway_command(event)
session_key = build_session_key(
event.source,
@@ -2429,14 +2214,12 @@ class BasePlatformAdapter(ABC):
logger.info("[%s] extract_local_files found %d file(s) in response", self.name, len(local_files))
# Auto-TTS: if voice message, generate audio FIRST (before sending text)
# Gated via ``_should_auto_tts_for_chat``: fires when the chat has
# an explicit ``/voice on|tts`` opt-in OR when ``voice.auto_tts`` is
# True globally and no ``/voice off`` has been issued.
# Skipped when the chat has voice mode disabled (/voice off)
_tts_path = None
if (self._should_auto_tts_for_chat(event.source.chat_id)
and event.message_type == MessageType.VOICE
if (event.message_type == MessageType.VOICE
and text_content
and not media_files):
and not media_files
and event.source.chat_id not in self._auto_tts_disabled_chats):
try:
from tools.tts_tool import text_to_speech_tool, check_tts_requirements
if check_tts_requirements():
@@ -2760,9 +2543,6 @@ class BasePlatformAdapter(ABC):
user_id_alt: Optional[str] = None,
chat_id_alt: Optional[str] = None,
is_bot: bool = False,
guild_id: Optional[str] = None,
parent_chat_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> SessionSource:
"""Helper to build a SessionSource for this platform."""
# Normalize empty topic to None
@@ -2780,9 +2560,6 @@ class BasePlatformAdapter(ABC):
user_id_alt=user_id_alt,
chat_id_alt=chat_id_alt,
is_bot=is_bot,
guild_id=str(guild_id) if guild_id else None,
parent_chat_id=str(parent_chat_id) if parent_chat_id else None,
message_id=str(message_id) if message_id else None,
)
@abstractmethod
+23 -21
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
@@ -2326,6 +2315,11 @@ class DiscordAdapter(BasePlatformAdapter):
async def slash_background(interaction: discord.Interaction, prompt: str):
await self._run_simple_slash(interaction, f"/background {prompt}", "Background task started~")
@tree.command(name="btw", description="Ephemeral side question using session context")
@discord.app_commands.describe(question="Your side question (no tools, not persisted)")
async def slash_btw(interaction: discord.Interaction, question: str):
await self._run_simple_slash(interaction, f"/btw {question}")
# ── Auto-register any gateway-available commands not yet on the tree ──
# This ensures new commands added to COMMAND_REGISTRY in
# hermes_cli/commands.py automatically appear as Discord slash
@@ -2690,8 +2684,21 @@ 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."""
@@ -3254,7 +3261,6 @@ class DiscordAdapter(BasePlatformAdapter):
if auto_thread and not skip_thread and not is_voice_linked_channel and not is_reply_message:
thread = await self._auto_create_thread(message)
if thread:
parent_channel_id = str(message.channel.id)
is_thread = True
thread_id = str(thread.id)
auto_threaded_channel = thread
@@ -3305,7 +3311,6 @@ 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,
@@ -3315,9 +3320,6 @@ 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,
parent_chat_id=parent_channel_id,
message_id=str(message.id),
)
# Build media URLs -- download image attachments to local cache so the
-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 -507
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
@@ -649,20 +532,6 @@ class MatrixAdapter(BasePlatformAdapter):
)
await crypto_store.open()
# Bind the store to the runtime device_id before any
# put_account() runs. PgCryptoStore defaults _device_id
# to "" and its crypto_account UPSERT never updates the
# device_id column on conflict — so once put_account
# writes blank, it stays blank forever. That breaks
# every downstream device-scoped olm operation: peer
# to-device ciphertext can't find our identity key and
# no megolm sessions ever land. Setting _device_id here
# (in-memory; the on-disk row may not exist yet) makes
# the first put_account write the correct value.
# DeviceID is a NewType(str) so plain str works at runtime.
if client.device_id:
await crypto_store.put_device_id(client.device_id)
crypto_state = _CryptoStateStore(state_store, self._joined_rooms)
olm = OlmMachine(client, crypto_store, crypto_state)
@@ -724,44 +593,6 @@ 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 +650,6 @@ 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 +713,17 @@ 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 +830,25 @@ 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 +881,10 @@ 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 +894,8 @@ 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 +970,6 @@ 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 +1101,9 @@ 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 +1139,6 @@ 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 +1164,13 @@ 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 +1266,6 @@ 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 +1278,7 @@ 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 +1520,6 @@ 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 +1549,13 @@ 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 +1640,7 @@ 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 +1670,6 @@ 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 +1895,11 @@ 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 +1962,6 @@ 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 +1996,13 @@ 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)
+502 -1330
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,
)
+36 -89
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
@@ -87,9 +87,6 @@ class SessionSource:
user_id_alt: Optional[str] = None # Platform-specific stable alt ID (Signal UUID, Feishu union_id)
chat_id_alt: Optional[str] = None # Signal group internal ID
is_bot: bool = False # True when the message author is a bot/webhook (Discord)
guild_id: Optional[str] = None # Discord guild / Slack workspace / Matrix server scope
parent_chat_id: Optional[str] = None # Parent channel when chat_id refers to a thread
message_id: Optional[str] = None # ID of the triggering message (for pin/reply/react)
@property
def description(self) -> str:
@@ -127,14 +124,8 @@ class SessionSource:
d["user_id_alt"] = self.user_id_alt
if self.chat_id_alt:
d["chat_id_alt"] = self.chat_id_alt
if self.guild_id:
d["guild_id"] = self.guild_id
if self.parent_chat_id:
d["parent_chat_id"] = self.parent_chat_id
if self.message_id:
d["message_id"] = self.message_id
return d
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> "SessionSource":
return cls(
@@ -148,9 +139,6 @@ class SessionSource:
chat_topic=data.get("chat_topic"),
user_id_alt=data.get("user_id_alt"),
chat_id_alt=data.get("chat_id_alt"),
guild_id=data.get("guild_id"),
parent_chat_id=data.get("parent_chat_id"),
message_id=data.get("message_id"),
)
@@ -202,31 +190,6 @@ that requires raw IDs). Discord is excluded because mentions use ``<@user_id>``
and the LLM needs the real ID to tag users."""
def _discord_tools_loaded() -> bool:
"""True iff the agent will actually have Discord tools this session.
Two conditions must hold:
1. The `discord` or `discord_admin` toolset is enabled for the
Discord platform via `hermes tools` (opt-in, default OFF).
2. `DISCORD_BOT_TOKEN` is set the tool's `check_fn` gates on it
at registry time, so the toolset being enabled in config is not
enough if the token isn't configured.
Returns False (safe default keeps the stale-API disclaimer) on any
error so a bad config can't silently promise tools the agent lacks.
"""
if not (os.environ.get("DISCORD_BOT_TOKEN") or "").strip():
return False
try:
from hermes_cli.config import load_config
from hermes_cli.tools_config import _get_platform_tools
cfg = load_config()
enabled = _get_platform_tools(cfg, "discord", include_default_mcp_servers=False)
return "discord" in enabled or "discord_admin" in enabled
except Exception:
return False
def build_session_context_prompt(
context: SessionContext,
*,
@@ -310,38 +273,18 @@ def build_session_context_prompt(
"**Platform notes:** You are running inside Slack. "
"You do NOT have access to Slack-specific APIs — you cannot search "
"channel history, pin/unpin messages, manage channels, or list users. "
"Do not promise to perform these actions. The gateway may inline the "
"current message's Slack block/attachment payload when available, but "
"you still cannot call Slack APIs yourself."
"Do not promise to perform these actions. If the user asks, explain "
"that you can only read messages sent directly to you and respond."
)
elif context.source.platform == Platform.DISCORD:
# Inject the Discord IDs block only when the agent actually has
# Discord tools loaded this session — i.e. the user opted into
# `discord` / `discord_admin` via `hermes tools` AND the bot
# token is configured. Otherwise keep the stale-API disclaimer
# honest so we never promise tools the agent lacks.
if _discord_tools_loaded():
src = context.source
id_lines = ["", "**Discord IDs (for the `discord` / `discord_admin` tools):**"]
if src.guild_id:
id_lines.append(f" - Guild: `{src.guild_id}`")
if src.thread_id and src.parent_chat_id:
id_lines.append(f" - Parent channel: `{src.parent_chat_id}`")
id_lines.append(f" - Thread: `{src.thread_id}` (use as `channel_id` for fetch_messages etc.)")
else:
id_lines.append(f" - Channel: `{src.chat_id}`")
if src.message_id:
id_lines.append(f" - Triggering message: `{src.message_id}`")
lines.extend(id_lines)
else:
lines.append("")
lines.append(
"**Platform notes:** You are running inside Discord. "
"You do NOT have access to Discord-specific APIs — you cannot search "
"channel history, pin messages, manage roles, or list server members. "
"Do not promise to perform these actions. If the user asks, explain "
"that you can only read messages sent directly to you and respond."
)
lines.append("")
lines.append(
"**Platform notes:** You are running inside Discord. "
"You do NOT have access to Discord-specific APIs — you cannot search "
"channel history, pin messages, manage roles, or list server members. "
"Do not promise to perform these actions. If the user asks, explain "
"that you can only read messages sent directly to you and respond."
)
elif context.source.platform == Platform.BLUEBUBBLES:
lines.append("")
lines.append(
@@ -354,14 +297,6 @@ 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)"]
@@ -448,11 +383,11 @@ class SessionEntry:
auto_reset_reason: Optional[str] = None # "idle" or "daily"
reset_had_activity: bool = False # whether the expired session had any messages
# Set by the background expiry watcher after it finalizes an expired
# session (invoking on_session_finalize hooks and evicting the cached
# agent). Persisted to sessions.json so the flag survives gateway
# restarts — prevents redundant finalization runs.
expiry_finalized: bool = False
# Set by the background expiry watcher after it successfully flushes
# memories for this session. Persisted to sessions.json so the flag
# survives gateway restarts (the old in-memory _pre_flushed_sessions
# set was lost on restart, causing redundant re-flushes).
memory_flushed: bool = False
# When True the next call to get_or_create_session() will auto-reset
# this session (create a new session_id) so the user starts fresh.
@@ -488,7 +423,7 @@ class SessionEntry:
"last_prompt_tokens": self.last_prompt_tokens,
"estimated_cost_usd": self.estimated_cost_usd,
"cost_status": self.cost_status,
"expiry_finalized": self.expiry_finalized,
"memory_flushed": self.memory_flushed,
"suspended": self.suspended,
"resume_pending": self.resume_pending,
"resume_reason": self.resume_reason,
@@ -540,7 +475,7 @@ class SessionEntry:
last_prompt_tokens=data.get("last_prompt_tokens", 0),
estimated_cost_usd=data.get("estimated_cost_usd", 0.0),
cost_status=data.get("cost_status", "unknown"),
expiry_finalized=data.get("expiry_finalized", data.get("memory_flushed", False)),
memory_flushed=data.get("memory_flushed", False),
suspended=data.get("suspended", False),
resume_pending=data.get("resume_pending", False),
resume_reason=data.get("resume_reason"),
@@ -705,7 +640,7 @@ 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)
@@ -1241,7 +1176,6 @@ class SessionStore:
reasoning_content=message.get("reasoning_content") if message.get("role") == "assistant" else None,
reasoning_details=message.get("reasoning_details") if message.get("role") == "assistant" else None,
codex_reasoning_items=message.get("codex_reasoning_items") if message.get("role") == "assistant" else None,
codex_message_items=message.get("codex_message_items") if message.get("role") == "assistant" else None,
)
except Exception as e:
logger.debug("Session DB operation failed: %s", e)
@@ -1257,11 +1191,24 @@ 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,
)
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)
+7 -75
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",
@@ -387,14 +356,6 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
api_key_env_vars=(),
base_url_env_var="BEDROCK_BASE_URL",
),
"azure-foundry": ProviderConfig(
id="azure-foundry",
name="Azure Foundry",
auth_type="api_key",
inference_base_url="", # User-provided endpoint
api_key_env_vars=("AZURE_FOUNDRY_API_KEY",),
base_url_env_var="AZURE_FOUNDRY_BASE_URL",
),
}
@@ -498,27 +459,11 @@ 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 +788,7 @@ 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 +1096,6 @@ 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 +1108,11 @@ 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 +1159,8 @@ 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 +3438,6 @@ 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()
@@ -4304,10 +4236,10 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
)
from hermes_cli.models import (
get_curated_nous_model_ids, get_pricing_for_provider,
_PROVIDER_MODELS, get_pricing_for_provider,
check_nous_free_tier, partition_nous_models_by_tier,
)
model_ids = get_curated_nous_model_ids()
model_ids = _PROVIDER_MODELS.get("nous", [])
print()
unavailable_models: list = []
-300
View File
@@ -1,300 +0,0 @@
"""Azure Foundry endpoint auto-detection.
Inspect an Azure AI Foundry / Azure OpenAI endpoint to determine:
- API transport (OpenAI-style ``chat_completions`` vs
Anthropic-style ``anthropic_messages``)
- Available models (best effort Azure does not expose a deployment
listing via the inference API key, but Azure OpenAI v1 endpoints
return the resource's model catalog via ``GET /models``)
- Context length for each discovered/entered model, via the existing
:func:`agent.model_metadata.get_model_context_length` resolver.
Rationale:
Azure has no pure-API-key deployment-listing endpoint per Microsoft,
deployment enumeration requires ARM management-plane auth. Azure
OpenAI v1 endpoints ``{resource}.openai.azure.com/openai/v1`` do return
a ``/models`` list, but it reflects the resource's *available* models
rather than the user's *deployed* deployment names. In practice it is
still a useful hint the user picks a familiar model name and we look
up its context length from the catalog.
The detector never crashes on errors (every HTTP call is wrapped in a
broad try/except). Callers get a :class:`DetectionResult` with whatever
information could be gathered, and fall back to manual entry for the
rest.
"""
from __future__ import annotations
import json
import logging
import re
from dataclasses import dataclass, field
from typing import Optional
from urllib import request as urllib_request
from urllib.error import HTTPError, URLError
from urllib.parse import urlparse
logger = logging.getLogger(__name__)
# Default Azure OpenAI ``api-version`` to probe with. The v1 GA endpoint
# accepts requests without ``api-version`` entirely, so this is only used
# as a fallback for pre-v1 resources that still require it.
_AZURE_OPENAI_PROBE_API_VERSIONS = (
"2025-04-01-preview",
"2024-10-21", # oldest GA that supports /models
)
# Default Azure Anthropic ``api-version``. Matches the value used by
# ``agent/anthropic_adapter.py`` when building the Anthropic client.
_AZURE_ANTHROPIC_API_VERSION = "2025-04-15"
@dataclass
class DetectionResult:
"""Everything auto-detection could gather from a base URL + API key."""
#: Detected API transport: ``"chat_completions"``,
#: ``"anthropic_messages"``, or ``None`` when detection failed.
api_mode: Optional[str] = None
#: Deployment / model IDs returned by ``/models`` (best effort).
#: Empty when the endpoint doesn't expose the list with an API key.
models: list[str] = field(default_factory=list)
#: Lowercased host from the base URL (used for display messages).
hostname: str = ""
#: Human-readable reason the detector chose ``api_mode``. Useful
#: for explaining auto-detection to the user in the wizard.
reason: str = ""
#: ``True`` when ``/models`` returned a valid OpenAI-shaped payload.
models_probe_ok: bool = False
#: ``True`` when the URL was determined to be an Anthropic-style
#: endpoint (from path suffix or live probe).
is_anthropic: bool = False
def _http_get_json(url: str, api_key: str, timeout: float = 6.0) -> tuple[int, Optional[dict]]:
"""GET a URL with ``api-key`` + ``Authorization`` headers. Return
``(status_code, parsed_json_or_None)``. Never raises."""
req = urllib_request.Request(url, method="GET")
# Azure OpenAI uses ``api-key``. Some Azure deployments (and
# Anthropic-style routes) use ``Authorization: Bearer``. Send both
# so we probe once per URL rather than twice.
req.add_header("api-key", api_key)
req.add_header("Authorization", f"Bearer {api_key}")
req.add_header("User-Agent", "hermes-agent/azure-detect")
try:
with urllib_request.urlopen(req, timeout=timeout) as resp:
body = resp.read()
try:
return resp.status, json.loads(body.decode("utf-8", errors="replace"))
except Exception:
return resp.status, None
except HTTPError as exc:
return exc.code, None
except (URLError, TimeoutError, OSError) as exc:
logger.debug("azure_detect: GET %s failed: %s", url, exc)
return 0, None
except Exception as exc: # pragma: no cover — defensive
logger.debug("azure_detect: GET %s unexpected error: %s", url, exc)
return 0, None
def _strip_trailing_v1(url: str) -> str:
"""Strip trailing ``/v1`` or ``/v1/`` so we can construct sub-paths."""
return re.sub(r"/v1/?$", "", url.rstrip("/"))
def _looks_like_anthropic_path(url: str) -> bool:
"""Return True when the URL's path ends in ``/anthropic`` or
contains a ``/anthropic/`` segment. Used by Azure Foundry
resources that route Claude traffic through a dedicated path."""
try:
parsed = urlparse(url)
path = (parsed.path or "").lower().rstrip("/")
return path.endswith("/anthropic") or "/anthropic/" in path + "/"
except Exception:
return False
def _extract_model_ids(payload: dict) -> list[str]:
"""Extract a list of model IDs from an OpenAI-shaped ``/models``
response. Returns ``[]`` on any shape mismatch."""
data = payload.get("data") if isinstance(payload, dict) else None
if not isinstance(data, list):
return []
ids: list[str] = []
for item in data:
if not isinstance(item, dict):
continue
# OpenAI shape: {"id": "gpt-5.4", "object": "model", ...}
mid = item.get("id") or item.get("model") or item.get("name")
if isinstance(mid, str) and mid:
ids.append(mid)
return ids
def _probe_openai_models(base_url: str, api_key: str) -> tuple[bool, list[str]]:
"""Probe ``<base>/models`` for an OpenAI-shaped response.
Returns ``(ok, models)``. ``ok`` is True iff the endpoint accepted
us as an OpenAI-style caller (200 OK + OpenAI-shaped JSON body).
"""
base_url = base_url.rstrip("/")
# Azure OpenAI v1: {resource}.openai.azure.com/openai/v1 — no
# api-version required for GA paths, so probe without first.
candidates = [f"{base_url}/models"]
# Fallback: explicit api-version for pre-v1 resources
for v in _AZURE_OPENAI_PROBE_API_VERSIONS:
candidates.append(f"{base_url}/models?api-version={v}")
for url in candidates:
status, body = _http_get_json(url, api_key)
if status == 200 and body is not None:
ids = _extract_model_ids(body)
if ids:
logger.info(
"azure_detect: /models probe OK at %s (%d models)",
url, len(ids),
)
return True, ids
# 200 + empty list still counts as "OpenAI shape, no models
# listed" — let the user proceed with manual entry.
if isinstance(body, dict) and "data" in body:
return True, []
return False, []
def _probe_anthropic_messages(base_url: str, api_key: str) -> bool:
"""Send a zero-token request to ``<base>/v1/messages`` and check
whether the endpoint at least *recognises* the Anthropic Messages
shape (any 4xx that mentions ``messages`` or ``model``, or a 400
``invalid_request`` with an Anthropic error shape). Never completes
a real chat.
"""
base = _strip_trailing_v1(base_url)
url = f"{base}/v1/messages?api-version={_AZURE_ANTHROPIC_API_VERSION}"
payload = json.dumps({
"model": "probe",
"max_tokens": 1,
"messages": [{"role": "user", "content": "ping"}],
}).encode("utf-8")
req = urllib_request.Request(url, method="POST", data=payload)
req.add_header("api-key", api_key)
req.add_header("Authorization", f"Bearer {api_key}")
req.add_header("anthropic-version", "2023-06-01")
req.add_header("content-type", "application/json")
req.add_header("User-Agent", "hermes-agent/azure-detect")
try:
with urllib_request.urlopen(req, timeout=6.0) as resp:
# Should never 200 — "probe" isn't a real deployment. But
# if it does, the endpoint definitely speaks Anthropic.
return resp.status < 500
except HTTPError as exc:
# 4xx with an Anthropic-shaped error body = Anthropic endpoint.
try:
body = exc.read().decode("utf-8", errors="replace")
lowered = body.lower()
if "anthropic" in lowered or '"type"' in lowered and '"error"' in lowered:
return True
# Pre-Azure-v1 Azure Foundry returns a plain 404 for
# Anthropic-style calls on non-Anthropic deployments. A
# 400 "model not found" IS Anthropic though.
if exc.code == 400 and ("messages" in lowered or "model" in lowered):
return True
return False
except Exception:
return False
except (URLError, TimeoutError, OSError):
return False
except Exception: # pragma: no cover
return False
def detect(base_url: str, api_key: str) -> DetectionResult:
"""Inspect an Azure endpoint and describe its transport + models.
Call this from the wizard before asking the user to pick an API
mode manually. The caller should treat the returned
:class:`DetectionResult` as *advisory* if ``api_mode`` is None,
fall back to asking the user.
"""
result = DetectionResult()
try:
parsed = urlparse(base_url)
result.hostname = (parsed.hostname or "").lower()
except Exception:
result.hostname = ""
# 1. Path sniff. Azure Foundry exposes Anthropic-style deployments
# under a dedicated ``/anthropic`` path.
if _looks_like_anthropic_path(base_url):
result.is_anthropic = True
result.api_mode = "anthropic_messages"
result.reason = "URL path ends in /anthropic → Anthropic Messages API"
return result
# 2. Try the OpenAI-style /models probe. If this works, the
# endpoint definitely speaks OpenAI wire.
ok, models = _probe_openai_models(base_url, api_key)
if ok:
result.models_probe_ok = True
result.models = models
result.api_mode = "chat_completions"
result.reason = (
f"GET /models returned {len(models)} model(s) — OpenAI-style endpoint"
if models
else "GET /models returned an OpenAI-shaped empty list — OpenAI-style endpoint"
)
return result
# 3. Fallback: probe the Anthropic Messages shape. Slower and more
# intrusive than /models, so only run it when the OpenAI probe
# failed.
if _probe_anthropic_messages(base_url, api_key):
result.is_anthropic = True
result.api_mode = "anthropic_messages"
result.reason = "Endpoint accepts Anthropic Messages shape"
return result
# Nothing matched. Caller falls back to manual selection.
result.reason = (
"Could not probe endpoint (private network, missing model list, or "
"non-standard path) — falling back to manual API-mode selection"
)
return result
def lookup_context_length(model: str, base_url: str, api_key: str) -> Optional[int]:
"""Thin wrapper around :func:`agent.model_metadata.get_model_context_length`
that returns ``None`` when only the fallback default (128k) would
fire, so the wizard can distinguish "we actually know this" from
"we guessed."""
try:
from agent.model_metadata import (
DEFAULT_FALLBACK_CONTEXT,
get_model_context_length,
)
except Exception:
return None
try:
n = get_model_context_length(model, base_url=base_url, api_key=api_key)
except Exception as exc:
logger.debug("azure_detect: context length lookup failed: %s", exc)
return None
if isinstance(n, int) and n > 0 and n != DEFAULT_FALLBACK_CONTEXT:
return n
return None
__all__ = ["DetectionResult", "detect", "lookup_context_length"]
+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
+6 -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",
@@ -86,7 +84,9 @@ COMMAND_REGISTRY: list[CommandDef] = [
CommandDef("deny", "Deny a pending dangerous command", "Session",
gateway_only=True),
CommandDef("background", "Run a prompt in the background", "Session",
aliases=("bg", "btw"), args_hint="<prompt>"),
aliases=("bg",), args_hint="<prompt>"),
CommandDef("btw", "Ephemeral side question using session context (no tools, not persisted)", "Session",
args_hint="<question>"),
CommandDef("agents", "Show active agents and running tasks", "Session",
aliases=("tasks",)),
CommandDef("queue", "Queue a prompt for the next turn (doesn't interrupt)", "Session",
@@ -103,8 +103,7 @@ COMMAND_REGISTRY: list[CommandDef] = [
# Configuration
CommandDef("config", "Show current configuration", "Configuration",
cli_only=True),
CommandDef("model", "Switch model for this session", "Configuration",
aliases=("provider",), args_hint="[model] [--provider name] [--global]"),
CommandDef("model", "Switch model for this session", "Configuration", args_hint="[model] [--provider name] [--global]"),
CommandDef("gquota", "Show Google Gemini Code Assist quota usage", "Info",
cli_only=True),
@@ -115,9 +114,6 @@ 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",
@@ -131,8 +127,8 @@ COMMAND_REGISTRY: list[CommandDef] = [
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",
@@ -811,114 +807,6 @@ 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.
@@ -946,42 +834,6 @@ 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."""
@@ -1405,19 +1257,6 @@ 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
+40 -435
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).
@@ -688,6 +612,14 @@ DEFAULT_CONFIG = {
"timeout": 30,
"extra_body": {},
},
"flush_memories": {
"provider": "auto",
"model": "",
"base_url": "",
"api_key": "",
"timeout": 30,
"extra_body": {},
},
"title_generation": {
"provider": "auto",
"model": "",
@@ -702,12 +634,7 @@ 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,
@@ -724,14 +651,6 @@ 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
@@ -864,15 +783,6 @@ DEFAULT_CONFIG = {
# warning log if out of range.
"max_spawn_depth": 1, # depth cap (1 = flat [default], 2 = orchestrator→leaf, 3 = three-level)
"orchestrator_enabled": True, # kill switch for role="orchestrator"
# When a subagent hits a dangerous-command approval prompt, the parent's
# prompt_toolkit TUI owns stdin — a thread-local input() call from the
# subagent worker would deadlock the parent UI. To avoid the deadlock,
# subagent threads ALWAYS resolve approvals non-interactively:
# false (default) → auto-deny with a logger.warning audit line (safe)
# true → auto-approve "once" with a logger.warning audit line
# Flip to true only if you trust delegated work to run dangerous cmds
# without human review (cron pipelines, batch automation, etc.).
"subagent_auto_approve": False,
},
# Ephemeral prefill messages file — JSON list of {role, content} dicts
@@ -949,7 +859,6 @@ 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)
},
@@ -1004,7 +913,7 @@ 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,
@@ -1049,27 +958,6 @@ DEFAULT_CONFIG = {
"backup_count": 3, # Number of rotated backup files to keep
},
# Remotely-hosted model catalog manifest. When enabled, the CLI fetches
# curated model lists for OpenRouter and Nous Portal from this URL,
# falling back to the in-repo snapshot on network failure. Lets us
# update model picker lists without shipping a hermes-agent release.
# The default URL is served by the docs site GitHub Pages deploy.
"model_catalog": {
"enabled": True,
"url": "https://hermes-agent.nousresearch.com/docs/api/model-catalog.json",
# Disk cache TTL in hours. Beyond this, the CLI refetches on the
# next /model or `hermes model` invocation; network failures
# silently fall back to the stale cache.
"ttl_hours": 24,
# Optional per-provider override URLs for third parties that want
# to self-host their own curation list using the same schema.
# Example:
# providers:
# openrouter:
# url: https://example.com/my-curation.json
"providers": {},
},
# Network settings — workarounds for connectivity issues.
"network": {
# Force IPv4 connections. On servers with broken or unreachable IPv6,
@@ -1106,27 +994,6 @@ DEFAULT_CONFIG = {
"min_interval_hours": 24,
},
# Contextual first-touch onboarding hints (see agent/onboarding.py).
# Each hint is shown once per install and then latched here so it
# never fires again. Users can wipe the section to re-see all hints.
"onboarding": {
"seen": {},
},
# ``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,
}
@@ -1228,22 +1095,6 @@ 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",
@@ -1332,22 +1183,6 @@ 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",
@@ -1535,21 +1370,6 @@ OPTIONAL_ENV_VARS = {
"category": "provider",
"advanced": True,
},
"AZURE_FOUNDRY_API_KEY": {
"description": "Azure Foundry API key for custom Azure endpoints",
"prompt": "Azure Foundry API Key",
"url": "https://ai.azure.com/",
"password": True,
"category": "provider",
},
"AZURE_FOUNDRY_BASE_URL": {
"description": "Azure Foundry base URL (set via 'hermes model' for endpoint-specific config)",
"prompt": "Azure Foundry base URL",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
# ── Tool API keys ──
"EXA_API_KEY": {
@@ -1717,44 +1537,6 @@ 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",
@@ -1770,30 +1552,6 @@ 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",
@@ -1941,14 +1699,6 @@ 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)",
@@ -2290,21 +2040,14 @@ 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:
@@ -2462,71 +2205,6 @@ def get_compatible_custom_providers(
return compatible
def get_custom_provider_context_length(
model: str,
base_url: str,
custom_providers: Optional[List[Dict[str, Any]]] = None,
config: Optional[Dict[str, Any]] = None,
) -> Optional[int]:
"""Look up a per-model ``context_length`` override from ``custom_providers``.
Matches any entry whose ``base_url`` equals ``base_url`` (trailing-slash
insensitive) and returns ``custom_providers[i].models.<model>.context_length``
if present and valid. Returns ``None`` when no override applies.
This is the single source of truth for custom-provider context overrides,
used by:
* ``AIAgent.__init__`` (startup resolution)
* ``AIAgent.switch_model`` (mid-session ``/model`` switch)
* ``hermes_cli.model_switch.resolve_display_context_length`` (``/model`` confirmation display)
* ``gateway.run._format_session_info`` (``/info`` display)
* ``agent.model_metadata.get_model_context_length`` (when custom_providers is threaded through)
Before this helper existed, the lookup was duplicated in ``run_agent.py``'s
startup path only; every other path (notably ``/model`` switch) fell back
to the 128K default. See #15779.
"""
if not model or not base_url:
return None
if custom_providers is None:
try:
custom_providers = get_compatible_custom_providers(config)
except Exception:
if config is None:
return None
raw = config.get("custom_providers")
custom_providers = raw if isinstance(raw, list) else []
if not isinstance(custom_providers, list):
return None
target_url = (base_url or "").rstrip("/")
if not target_url:
return None
for entry in custom_providers:
if not isinstance(entry, dict):
continue
entry_url = (entry.get("base_url") or "").rstrip("/")
if not entry_url or entry_url != target_url:
continue
models = entry.get("models")
if not isinstance(models, dict):
continue
model_cfg = models.get(model)
if not isinstance(model_cfg, dict):
continue
raw_ctx = model_cfg.get("context_length")
if raw_ctx is None:
continue
try:
ctx = int(raw_ctx)
except (TypeError, ValueError):
continue
if ctx > 0:
return ctx
return None
def check_config_version() -> Tuple[int, int]:
"""
Check config version.
@@ -2556,9 +2234,6 @@ _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
@@ -2635,32 +2310,10 @@ 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__}",
@@ -3453,62 +3106,25 @@ 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 {}
@@ -3526,26 +3142,20 @@ 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
@@ -3578,11 +3188,11 @@ _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.
@@ -3633,12 +3243,7 @@ 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(
@@ -3764,7 +3369,7 @@ 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)
@@ -3827,7 +3432,7 @@ 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 {}
@@ -3839,7 +3444,7 @@ 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):
@@ -3847,7 +3452,7 @@ 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"):
@@ -3867,7 +3472,7 @@ 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:
@@ -3923,7 +3528,7 @@ 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)
+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
+3 -17
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",
)
@@ -322,11 +320,7 @@ def run_doctor(args):
known_providers.add("custom:" + name.lower().replace(" ", "-"))
canonical_provider = provider
if (
provider
and _resolve_provider_full is not None
and provider not in ("auto", "custom")
):
if provider and _resolve_provider_full is not None and provider != "auto":
provider_def = _resolve_provider_full(provider, user_providers, custom_providers)
canonical_provider = provider_def.id if provider_def is not None else None
@@ -344,7 +338,7 @@ def run_doctor(args):
)
# Warn if model is set to a provider-prefixed name on a provider that doesn't use them
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", "lmstudio"):
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)",
@@ -517,14 +511,7 @@ 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
@@ -946,7 +933,6 @@ 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),
+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)
-361
View File
@@ -1,361 +0,0 @@
"""
hermes fallback manage the fallback provider chain.
Fallback providers are tried in order when the primary model fails with
rate-limit, overload, or connection errors. See:
https://hermes-agent.nousresearch.com/docs/user-guide/features/fallback-providers
Subcommands:
hermes fallback [list] Show the current fallback chain (default when no subcommand)
hermes fallback add Pick provider + model via the same picker as `hermes model`,
then append the selection to the chain
hermes fallback remove Pick an entry to delete from the chain
hermes fallback clear Remove all fallback entries
Storage: ``fallback_providers`` in ``~/.hermes/config.yaml`` (top-level, list of
``{provider, model, base_url?, api_mode?}`` dicts). The legacy single-dict
``fallback_model`` format is migrated to the new list format on first add.
"""
from __future__ import annotations
import copy
from typing import Any, Dict, List, Optional
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _read_chain(config: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Return the normalized fallback chain as a list of dicts.
Accepts both the new list format (``fallback_providers``) and the legacy
single-dict format (``fallback_model``). The returned list is always a
fresh copy callers can mutate without touching the config dict.
"""
chain = config.get("fallback_providers") or []
if isinstance(chain, list):
result = [dict(e) for e in chain if isinstance(e, dict) and e.get("provider") and e.get("model")]
if result:
return result
legacy = config.get("fallback_model")
if isinstance(legacy, dict) and legacy.get("provider") and legacy.get("model"):
return [dict(legacy)]
if isinstance(legacy, list):
return [dict(e) for e in legacy if isinstance(e, dict) and e.get("provider") and e.get("model")]
return []
def _write_chain(config: Dict[str, Any], chain: List[Dict[str, Any]]) -> None:
"""Persist the chain to ``fallback_providers`` and clear legacy key."""
config["fallback_providers"] = chain
# Drop the legacy single-dict key on write so there's only one source of truth.
if "fallback_model" in config:
config.pop("fallback_model", None)
def _format_entry(entry: Dict[str, Any]) -> str:
"""One-line human-readable rendering of a fallback entry."""
provider = entry.get("provider", "?")
model = entry.get("model", "?")
base = entry.get("base_url")
suffix = f" [{base}]" if base else ""
return f"{model} (via {provider}){suffix}"
def _extract_fallback_from_model_cfg(model_cfg: Any) -> Optional[Dict[str, Any]]:
"""Pull the ``{provider, model, base_url?, api_mode?}`` dict from a ``config["model"]`` snapshot."""
if not isinstance(model_cfg, dict):
return None
provider = (model_cfg.get("provider") or "").strip()
# The picker writes the selected model to ``model.default``.
model = (model_cfg.get("default") or model_cfg.get("model") or "").strip()
if not provider or not model:
return None
entry: Dict[str, Any] = {"provider": provider, "model": model}
base_url = (model_cfg.get("base_url") or "").strip()
if base_url:
entry["base_url"] = base_url
api_mode = (model_cfg.get("api_mode") or "").strip()
if api_mode:
entry["api_mode"] = api_mode
return entry
def _snapshot_auth_active_provider() -> Any:
"""Return the current ``active_provider`` in auth.json, or a sentinel if unavailable."""
try:
from hermes_cli.auth import _load_auth_store
store = _load_auth_store()
return store.get("active_provider")
except Exception:
return None
def _restore_auth_active_provider(value: Any) -> None:
"""Write back a previously snapshotted ``active_provider`` value."""
try:
from hermes_cli.auth import _auth_store_lock, _load_auth_store, _save_auth_store
with _auth_store_lock():
store = _load_auth_store()
store["active_provider"] = value
_save_auth_store(store)
except Exception:
# Best-effort — if auth.json can't be restored, the user's primary
# provider may have been deactivated by the picker. They can re-run
# `hermes model` to fix it. Don't fail the fallback add.
pass
# ---------------------------------------------------------------------------
# Subcommand handlers
# ---------------------------------------------------------------------------
def cmd_fallback_list(args) -> None: # noqa: ARG001
"""Print the current fallback chain."""
from hermes_cli.config import load_config
config = load_config()
chain = _read_chain(config)
print()
if not chain:
print(" No fallback providers configured.")
print()
print(" Add one with: hermes fallback add")
print()
return
primary = _describe_primary(config)
if primary:
print(f" Primary: {primary}")
print()
print(f" Fallback chain ({len(chain)} {'entry' if len(chain) == 1 else 'entries'}):")
for i, entry in enumerate(chain, 1):
print(f" {i}. {_format_entry(entry)}")
print()
print(" Tried in order when the primary fails (rate-limit, 5xx, connection errors).")
print(" Docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/fallback-providers")
print()
def _describe_primary(config: Dict[str, Any]) -> Optional[str]:
"""One-line description of the primary model for display purposes."""
model_cfg = config.get("model")
if isinstance(model_cfg, dict):
provider = (model_cfg.get("provider") or "?").strip() or "?"
model = (model_cfg.get("default") or model_cfg.get("model") or "?").strip() or "?"
return f"{model} (via {provider})"
if isinstance(model_cfg, str) and model_cfg.strip():
return model_cfg.strip()
return None
def cmd_fallback_add(args) -> None:
"""Launch the same picker as `hermes model`, then append the selection to the chain."""
from hermes_cli.main import _require_tty, select_provider_and_model
from hermes_cli.config import load_config, save_config
_require_tty("fallback add")
# Snapshot BEFORE the picker runs so we can distinguish "user actually
# picked something" from "user cancelled" by comparing before/after.
before_cfg = load_config()
model_before = copy.deepcopy(before_cfg.get("model"))
active_provider_before = _snapshot_auth_active_provider()
print()
print(" Adding a fallback provider. The picker below is the same one used by")
print(" `hermes model` — select the provider + model you want as a fallback.")
print()
try:
select_provider_and_model(args=args)
except SystemExit:
# Some provider flows exit on auth failure — restore state and re-raise.
_restore_model_cfg(model_before)
_restore_auth_active_provider(active_provider_before)
raise
# Read the post-picker state to see what the user selected.
after_cfg = load_config()
model_after = after_cfg.get("model")
new_entry = _extract_fallback_from_model_cfg(model_after)
if not new_entry:
# Picker didn't complete (user cancelled or flow bailed). Nothing to do.
_restore_model_cfg(model_before)
_restore_auth_active_provider(active_provider_before)
print()
print(" No fallback added.")
return
# Picker picked the same thing that's already the primary → nothing changed,
# and there's nothing useful to add as a fallback to itself.
primary_entry = _extract_fallback_from_model_cfg(model_before)
if primary_entry and primary_entry["provider"] == new_entry["provider"] \
and primary_entry["model"] == new_entry["model"]:
_restore_model_cfg(model_before)
_restore_auth_active_provider(active_provider_before)
print()
print(f" Selected model matches the current primary ({_format_entry(new_entry)}).")
print(" A provider cannot be a fallback for itself — no change.")
return
# Reload the config with the primary restored, then append the new entry
# to ``fallback_providers``. We deliberately re-load (rather than mutating
# ``after_cfg``) because the picker may have touched other top-level keys
# (custom_providers, providers credentials) that we want to keep.
_restore_model_cfg(model_before)
_restore_auth_active_provider(active_provider_before)
final_cfg = load_config()
chain = _read_chain(final_cfg)
# Reject exact-duplicate fallback entries.
for existing in chain:
if existing.get("provider") == new_entry["provider"] \
and existing.get("model") == new_entry["model"]:
print()
print(f" {_format_entry(new_entry)} is already in the fallback chain — skipped.")
return
chain.append(new_entry)
_write_chain(final_cfg, chain)
save_config(final_cfg)
print()
print(f" Added fallback: {_format_entry(new_entry)}")
print(f" Chain is now {len(chain)} {'entry' if len(chain) == 1 else 'entries'} long.")
print()
print(" Run `hermes fallback list` to view, or `hermes fallback remove` to delete.")
def _restore_model_cfg(model_before: Any) -> None:
"""Restore ``config["model"]`` to a previously-captured snapshot."""
from hermes_cli.config import load_config, save_config
cfg = load_config()
if model_before is None:
cfg.pop("model", None)
else:
cfg["model"] = copy.deepcopy(model_before)
save_config(cfg)
def cmd_fallback_remove(args) -> None: # noqa: ARG001
"""Pick an entry from the chain and remove it."""
from hermes_cli.config import load_config, save_config
config = load_config()
chain = _read_chain(config)
if not chain:
print()
print(" No fallback providers configured — nothing to remove.")
print()
return
choices = [_format_entry(e) for e in chain]
choices.append("Cancel")
try:
from hermes_cli.setup import _curses_prompt_choice
idx = _curses_prompt_choice("Select a fallback to remove:", choices, 0)
except Exception:
idx = _numbered_pick("Select a fallback to remove:", choices)
if idx is None or idx < 0 or idx >= len(chain):
print()
print(" Cancelled — no change.")
return
removed = chain.pop(idx)
_write_chain(config, chain)
save_config(config)
print()
print(f" Removed fallback: {_format_entry(removed)}")
if chain:
print(f" Chain is now {len(chain)} {'entry' if len(chain) == 1 else 'entries'} long.")
else:
print(" Fallback chain is now empty.")
print()
def cmd_fallback_clear(args) -> None: # noqa: ARG001
"""Remove all fallback entries (with confirmation)."""
from hermes_cli.config import load_config, save_config
config = load_config()
chain = _read_chain(config)
if not chain:
print()
print(" No fallback providers configured — nothing to clear.")
print()
return
print()
print(f" Current fallback chain ({len(chain)} {'entry' if len(chain) == 1 else 'entries'}):")
for i, entry in enumerate(chain, 1):
print(f" {i}. {_format_entry(entry)}")
print()
try:
resp = input(" Clear all entries? [y/N]: ").strip().lower()
except (KeyboardInterrupt, EOFError):
print()
print(" Cancelled.")
return
if resp not in ("y", "yes"):
print(" Cancelled — no change.")
return
_write_chain(config, [])
save_config(config)
print()
print(" Fallback chain cleared.")
print()
def _numbered_pick(question: str, choices: List[str]) -> Optional[int]:
"""Fallback numbered-list picker when curses is unavailable."""
print(question)
for i, c in enumerate(choices, 1):
print(f" {i}. {c}")
print()
while True:
try:
val = input(f"Choice [1-{len(choices)}]: ").strip()
if not val:
return None
idx = int(val) - 1
if 0 <= idx < len(choices):
return idx
print(f"Please enter 1-{len(choices)}")
except ValueError:
print("Please enter a number")
except (KeyboardInterrupt, EOFError):
print()
return None
# ---------------------------------------------------------------------------
# Dispatch
# ---------------------------------------------------------------------------
def cmd_fallback(args) -> None:
"""Top-level dispatcher for ``hermes fallback [subcommand]``."""
sub = getattr(args, "fallback_command", None)
if sub in (None, "", "list", "ls"):
cmd_fallback_list(args)
elif sub == "add":
cmd_fallback_add(args)
elif sub in ("remove", "rm"):
cmd_fallback_remove(args)
elif sub == "clear":
cmd_fallback_clear(args)
else:
print(f"Unknown fallback subcommand: {sub}")
print("Use one of: list, add, remove, clear")
raise SystemExit(2)
+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 -2
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:
@@ -124,7 +125,6 @@ _DEFAULT_PAYLOADS = {
"task_id": "test-task",
"tool_call_id": "test-call",
"result": '{"output": "hello"}',
"duration_ms": 42,
},
"pre_llm_call": {
"session_id": "test-session",
-333
View File
@@ -1,333 +0,0 @@
"""Learning ledger: read-only index of how Hermes has grown for this profile."""
from __future__ import annotations
import json
import time
from dataclasses import asdict, dataclass
from pathlib import Path
from typing import Any
from hermes_constants import get_hermes_home
@dataclass
class LedgerItem:
type: str
name: str
summary: str
source: str
count: int = 0
learned_from: str | None = None
last_used_at: float | None = None
learned_at: float | None = None
via: str | None = None
def build_learning_ledger(db: Any = None, *, limit: int = 80) -> dict[str, Any]:
"""Build a compact, read-only ledger from existing Hermes artifacts."""
skill_inventory = _skill_inventory()
items = [
*_memory_items(),
*_tool_usage_items(db),
*_integration_items(),
]
items.sort(
key=lambda i: (i.last_used_at or i.learned_at or 0, i.type, i.name),
reverse=True,
)
counts: dict[str, int] = {}
for item in items:
counts[item.type] = counts.get(item.type, 0) + 1
return {
"generated_at": time.time(),
"home": str(get_hermes_home()),
"counts": counts,
"items": [asdict(item) for item in items[: max(1, limit)]],
"inventory": {"skills": skill_inventory},
"total": len(items),
}
def _memory_items() -> list[LedgerItem]:
try:
from tools.memory_tool import MemoryStore, get_memory_dir
mem_dir = get_memory_dir()
pairs = [
("memory", "MEMORY.md", "agent note"),
("user", "USER.md", "user profile"),
]
items: list[LedgerItem] = []
for item_type, filename, label in pairs:
path = mem_dir / filename
for idx, entry in enumerate(MemoryStore._read_file(path), 1):
items.append(
LedgerItem(
type=item_type,
name=f"{label} {idx}",
summary=_one_line(entry),
source=str(path),
learned_at=_mtime(path),
)
)
return items
except Exception:
return []
def _skill_inventory() -> int:
try:
from tools.skills_tool import _find_all_skills
return len(_find_all_skills())
except Exception:
return 0
def _tool_usage_items(db: Any) -> list[LedgerItem]:
if db is None or not getattr(db, "_conn", None):
return []
usage: dict[tuple[str, str], LedgerItem] = {}
def bump(
item_type: str,
name: str,
summary: str,
ts: float | None,
*,
learned_from: str | None = None,
via: str | None = None,
):
key = (item_type, name)
item = usage.get(key)
if not item:
item = usage[key] = LedgerItem(
type=item_type,
name=name,
summary=summary,
source="state.db",
learned_from=learned_from,
via=via,
)
item.count += 1
if ts and (not item.last_used_at or ts > item.last_used_at):
item.last_used_at = ts
item.learned_from = learned_from or item.learned_from
item.via = via or item.via
try:
with db._lock:
rows = db._conn.execute(
"""
SELECT m.role, m.content, m.tool_calls, m.tool_name, m.timestamp,
m.session_id, s.title, s.source AS session_source
FROM messages m
LEFT JOIN sessions s ON s.id = m.session_id
WHERE m.tool_name IS NOT NULL OR m.tool_calls IS NOT NULL
ORDER BY m.timestamp DESC
LIMIT 5000
"""
).fetchall()
except Exception:
return []
for row in rows:
ts = _float(row["timestamp"])
tool_name = row["tool_name"]
content = row["content"] or ""
learned_from = row["title"] or row["session_source"] or row["session_id"]
if tool_name == "memory":
target = _json(content).get("target") or "memory"
bump(str(target), f"{target} writes", "Durable memory updates", ts, learned_from=learned_from, via="memory")
elif tool_name == "session_search":
event = learning_event_from_tool(tool_name, {}, content)
if event:
bump("recall", event["title"], event["summary"], ts, learned_from=learned_from, via="session_search")
elif tool_name in {"skill_view", "skill_manage"}:
data = _json(content)
name = str(data.get("name") or data.get("skill") or tool_name)
bump("skill-use", name, _skill_summary(tool_name, data), ts, learned_from=learned_from, via=tool_name)
for call in _tool_calls(row["tool_calls"]):
name, args = call
if name == "session_search":
event = learning_event_from_tool(name, args, content)
if event:
bump("recall", event["title"], event["summary"], ts, learned_from=learned_from, via=name)
elif name in {"skill_view", "skill_manage"}:
skill_name = str(
args.get("name") or args.get("skill") or args.get("query") or name
)
bump("skill-use", skill_name, _skill_summary(name, args), ts, learned_from=learned_from, via=name)
elif name == "memory":
target = str(args.get("target") or "memory")
bump(target, f"{target} writes", "Durable memory updates", ts, learned_from=learned_from, via=name)
return list(usage.values())
def learning_event_from_tool(
tool_name: str,
args: dict[str, Any] | None = None,
result: str | None = None,
) -> dict[str, Any] | None:
args = args or {}
data = _json(result)
if tool_name == "memory":
target = str(args.get("target") or data.get("target") or "memory")
content = str(args.get("content") or "").strip()
return {
"type": target if target in {"memory", "user"} else "memory",
"verb": "remembered",
"title": _memory_title(content) if content else f"{target} updated",
"summary": "Durable memory updated",
"source": "memory",
"via": "memory",
}
if tool_name == "session_search":
title = _recall_title(data) or str(args.get("query") or "").strip() or "past sessions"
return {
"type": "recall",
"verb": "recalled",
"title": _one_line(title, max_len=120),
"summary": "Past conversations recalled",
"source": "state.db",
"via": "session_search",
}
if tool_name in {"skill_view", "skill_manage"}:
action = str(args.get("action") or data.get("action") or "").strip().lower()
name = str(args.get("name") or args.get("query") or data.get("name") or "skill").strip()
verb = "updated skill" if tool_name == "skill_manage" and action in {"create", "patch", "update", "install"} else "applied skill"
return {
"type": "skill-use",
"verb": verb,
"title": _one_line(name, max_len=120),
"summary": _skill_summary(tool_name, {**args, **(data if isinstance(data, dict) else {})}),
"source": "skills",
"via": tool_name,
}
return None
def _skill_summary(tool_name: str, data: dict[str, Any]) -> str:
action = str(data.get("action") or "").strip().lower()
if tool_name == "skill_manage" and action:
return f"Skill {action.replace('_', ' ')}"
if tool_name == "skill_manage":
return "Skill managed"
return "Skill reused"
def _recall_title(data: Any) -> str:
if not isinstance(data, dict):
return ""
results = data.get("results")
if not isinstance(results, list) or not results:
return str(data.get("query") or "").strip()
first = results[0] if isinstance(results[0], dict) else {}
return str(first.get("title") or first.get("preview") or data.get("query") or "").strip()
def _memory_title(content: str) -> str:
title = _one_line(content, max_len=120)
lowered = title.lower()
for prefix in ("the user ", "user "):
if lowered.startswith(prefix):
return title[len(prefix):].lstrip()
return title
def _integration_items() -> list[LedgerItem]:
try:
from hermes_cli.config import load_config
cfg = load_config()
except Exception:
return []
items: list[LedgerItem] = []
provider = ((cfg.get("memory") or {}) if isinstance(cfg, dict) else {}).get(
"provider"
)
if provider:
items.append(
LedgerItem(
type="integration",
name=f"{provider} memory provider",
summary="External memory provider is configured",
source="config.yaml",
)
)
for server in (
sorted(((cfg.get("mcp") or {}).get("servers") or {}).keys())
if isinstance(cfg, dict)
else []
):
items.append(
LedgerItem(
type="integration",
name=f"{server} MCP server",
summary="MCP server is configured",
source="config.yaml",
)
)
return items
def _tool_calls(raw: str | None) -> list[tuple[str, dict[str, Any]]]:
calls = _json(raw)
if not isinstance(calls, list):
return []
parsed = []
for call in calls:
if not isinstance(call, dict):
continue
fn = call.get("function") or {}
name = call.get("name") or fn.get("name")
args = fn.get("arguments") or call.get("arguments") or call.get("args") or {}
if isinstance(args, str):
args = _json(args)
if name:
parsed.append((str(name), args if isinstance(args, dict) else {}))
return parsed
def _json(raw: Any) -> Any:
if not raw:
return {}
if isinstance(raw, (dict, list)):
return raw
try:
return json.loads(raw)
except Exception:
return {}
def _mtime(path: Path) -> float | None:
try:
return path.stat().st_mtime
except OSError:
return None
def _float(value: Any) -> float | None:
try:
return float(value)
except (TypeError, ValueError):
return None
def _one_line(text: str, *, max_len: int = 180) -> str:
line = " ".join(str(text).split())
return line[: max_len - 1] + "" if len(line) > max_len else line
+94 -1245
View File
File diff suppressed because it is too large Load Diff
-329
View File
@@ -1,329 +0,0 @@
"""Remote model catalog fetcher.
The Hermes docs site hosts a JSON manifest of curated models for providers
we want to update without shipping a release (currently OpenRouter and
Nous Portal). This module fetches, validates, and caches that manifest,
falling back to the in-repo hardcoded lists when the network is unavailable.
Pipeline
--------
1. ``get_catalog()`` returns a parsed manifest dict.
- Checks in-process cache (invalidated by TTL).
- Reads disk cache at ``~/.hermes/cache/model_catalog.json``.
- Fetches the master URL if disk cache is stale or missing.
- On any fetch failure, keeps using the stale cache (or empty dict).
2. ``get_curated_openrouter_models()`` / ``get_curated_nous_models()``
thin accessors returning the shapes existing callers expect. Each
falls back to the in-repo hardcoded list on any lookup failure.
Schema (version 1)
------------------
::
{
"version": 1,
"updated_at": "2026-04-25T22:00:00Z",
"metadata": {...}, # free-form
"providers": {
"openrouter": {
"metadata": {...}, # free-form
"models": [
{"id": "vendor/model", "description": "recommended",
"metadata": {...}} # free-form, model-level
]
},
"nous": {...}
}
}
Unknown fields are ignored extra metadata can be added at either level
without bumping ``version``. ``version`` bumps are reserved for
breaking changes (renaming ``providers``, changing ``models`` shape).
"""
from __future__ import annotations
import json
import logging
import time
import urllib.error
import urllib.request
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__)
# ---------------------------------------------------------------------------
# Constants
# ---------------------------------------------------------------------------
DEFAULT_CATALOG_URL = (
"https://hermes-agent.nousresearch.com/docs/api/model-catalog.json"
)
DEFAULT_TTL_HOURS = 24
DEFAULT_FETCH_TIMEOUT = 8.0
SUPPORTED_SCHEMA_VERSION = 1
_HERMES_USER_AGENT = f"hermes-cli/{_HERMES_VERSION}"
# In-process cache to avoid repeated disk + parse work across multiple
# calls within the same session. Invalidated by TTL against the disk file's
# mtime, so calling code never has to think about this.
_catalog_cache: dict[str, Any] | None = None
_catalog_cache_source_mtime: float = 0.0
# ---------------------------------------------------------------------------
# Config
# ---------------------------------------------------------------------------
def _load_catalog_config() -> dict[str, Any]:
"""Load the ``model_catalog`` config block with defaults filled in."""
try:
from hermes_cli.config import load_config
cfg = load_config() or {}
except Exception:
cfg = {}
raw = cfg.get("model_catalog")
if not isinstance(raw, dict):
raw = {}
return {
"enabled": bool(raw.get("enabled", True)),
"url": str(raw.get("url") or DEFAULT_CATALOG_URL),
"ttl_hours": float(raw.get("ttl_hours") or DEFAULT_TTL_HOURS),
"providers": raw.get("providers") if isinstance(raw.get("providers"), dict) else {},
}
def _cache_path() -> Path:
"""Return the disk cache path. Import lazily so tests can monkeypatch home."""
from hermes_constants import get_hermes_home
return get_hermes_home() / "cache" / "model_catalog.json"
# ---------------------------------------------------------------------------
# Fetch + validate + cache
# ---------------------------------------------------------------------------
def _fetch_manifest(url: str, timeout: float) -> dict[str, Any] | None:
"""HTTP GET the manifest URL and return a parsed dict, or None on failure."""
try:
req = urllib.request.Request(
url,
headers={
"Accept": "application/json",
"User-Agent": _HERMES_USER_AGENT,
},
)
with urllib.request.urlopen(req, timeout=timeout) as resp:
data = json.loads(resp.read().decode())
except (urllib.error.URLError, TimeoutError, json.JSONDecodeError, OSError) as exc:
logger.info("model catalog fetch failed (%s): %s", url, exc)
return None
except Exception as exc: # pragma: no cover — defensive
logger.info("model catalog fetch errored (%s): %s", url, exc)
return None
if not _validate_manifest(data):
logger.info("model catalog at %s failed schema validation", url)
return None
return data
def _validate_manifest(data: Any) -> bool:
"""Return True when ``data`` matches the minimum manifest shape."""
if not isinstance(data, dict):
return False
version = data.get("version")
if not isinstance(version, int) or version > SUPPORTED_SCHEMA_VERSION:
# Future schema version we don't understand — refuse rather than
# guess. Older schemas (version < 1) aren't supported either.
return False
providers = data.get("providers")
if not isinstance(providers, dict):
return False
for pname, pblock in providers.items():
if not isinstance(pname, str) or not isinstance(pblock, dict):
return False
models = pblock.get("models")
if not isinstance(models, list):
return False
for m in models:
if not isinstance(m, dict):
return False
if not isinstance(m.get("id"), str) or not m["id"].strip():
return False
return True
def _read_disk_cache() -> tuple[dict[str, Any] | None, float]:
"""Return ``(data_or_none, mtime)``. mtime is 0 if file is missing."""
path = _cache_path()
try:
mtime = path.stat().st_mtime
except (OSError, FileNotFoundError):
return (None, 0.0)
try:
with open(path) as fh:
data = json.load(fh)
except (OSError, json.JSONDecodeError):
return (None, 0.0)
if not _validate_manifest(data):
return (None, 0.0)
return (data, mtime)
def _write_disk_cache(data: dict[str, Any]) -> None:
path = _cache_path()
try:
path.parent.mkdir(parents=True, exist_ok=True)
tmp = path.with_suffix(path.suffix + ".tmp")
with open(tmp, "w") as fh:
json.dump(data, fh, indent=2)
fh.write("\n")
atomic_replace(tmp, path)
except OSError as exc:
logger.info("model catalog cache write failed: %s", exc)
# ---------------------------------------------------------------------------
# Public API
# ---------------------------------------------------------------------------
def get_catalog(*, force_refresh: bool = False) -> dict[str, Any]:
"""Return the parsed model catalog manifest, or an empty dict on failure.
Callers should treat a missing provider/model as "use the in-repo fallback"
never raise from this function so the CLI keeps working offline.
"""
global _catalog_cache, _catalog_cache_source_mtime
cfg = _load_catalog_config()
if not cfg["enabled"]:
return {}
ttl_seconds = max(0.0, cfg["ttl_hours"] * 3600.0)
disk_data, disk_mtime = _read_disk_cache()
now = time.time()
disk_fresh = disk_data is not None and (now - disk_mtime) < ttl_seconds
# In-process cache hit: disk hasn't changed since we loaded it and still fresh.
if (
not force_refresh
and _catalog_cache is not None
and disk_data is not None
and disk_mtime == _catalog_cache_source_mtime
and disk_fresh
):
return _catalog_cache
# Disk is fresh enough — use it without a network hit.
if not force_refresh and disk_fresh and disk_data is not None:
_catalog_cache = disk_data
_catalog_cache_source_mtime = disk_mtime
return disk_data
# Need to (re)fetch. If it fails, fall back to any stale disk copy.
fetched = _fetch_manifest(cfg["url"], DEFAULT_FETCH_TIMEOUT)
if fetched is not None:
_write_disk_cache(fetched)
new_disk_data, new_mtime = _read_disk_cache()
if new_disk_data is not None:
_catalog_cache = new_disk_data
_catalog_cache_source_mtime = new_mtime
return new_disk_data
_catalog_cache = fetched
_catalog_cache_source_mtime = now
return fetched
if disk_data is not None:
_catalog_cache = disk_data
_catalog_cache_source_mtime = disk_mtime
return disk_data
return {}
def _fetch_provider_override(provider: str) -> dict[str, Any] | None:
"""If ``model_catalog.providers.<name>.url`` is set, fetch that instead."""
cfg = _load_catalog_config()
if not cfg["enabled"]:
return None
provider_cfg = cfg["providers"].get(provider)
if not isinstance(provider_cfg, dict):
return None
override_url = provider_cfg.get("url")
if not isinstance(override_url, str) or not override_url.strip():
return None
# Override fetches skip the disk cache because they're usually
# third-party self-hosted. Re-request on every call but with a short
# timeout so they don't block the picker.
return _fetch_manifest(override_url.strip(), DEFAULT_FETCH_TIMEOUT)
def _get_provider_block(provider: str) -> dict[str, Any] | None:
"""Return the provider's manifest block, respecting per-provider overrides."""
override = _fetch_provider_override(provider)
if override is not None:
block = override.get("providers", {}).get(provider)
if isinstance(block, dict):
return block
catalog = get_catalog()
if not catalog:
return None
block = catalog.get("providers", {}).get(provider)
return block if isinstance(block, dict) else None
def get_curated_openrouter_models() -> list[tuple[str, str]] | None:
"""Return OpenRouter's curated ``[(id, description), ...]`` from the manifest.
Returns ``None`` when the manifest is unavailable, so callers can fall
back to their hardcoded list.
"""
block = _get_provider_block("openrouter")
if not block:
return None
out: list[tuple[str, str]] = []
for m in block.get("models", []):
mid = str(m.get("id") or "").strip()
if not mid:
continue
desc = str(m.get("description") or "")
out.append((mid, desc))
return out or None
def get_curated_nous_models() -> list[str] | None:
"""Return Nous Portal's curated list of model ids from the manifest.
Returns ``None`` when the manifest is unavailable.
"""
block = _get_provider_block("nous")
if not block:
return None
out: list[str] = []
for m in block.get("models", []):
mid = str(m.get("id") or "").strip()
if mid:
out.append(mid)
return out or None
def reset_cache() -> None:
"""Clear the in-process cache. Used by tests and ``hermes model --refresh``."""
global _catalog_cache, _catalog_cache_source_mtime
_catalog_cache = None
_catalog_cache_source_mtime = 0.0
+18 -123
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()
# ---------------------------------------------------------------------------
@@ -538,7 +533,6 @@ def resolve_display_context_length(
base_url: str = "",
api_key: str = "",
model_info: Optional[ModelInfo] = None,
custom_providers: list | None = None,
) -> Optional[int]:
"""Resolve the context length to show in /model output.
@@ -549,11 +543,6 @@ def resolve_display_context_length(
about Codex OAuth, Copilot, Nous, and falls back to models.dev for the
rest.
When ``custom_providers`` is provided, per-model ``context_length``
overrides from ``custom_providers[].models.<id>.context_length`` are
honored this closes #15779 where ``/model`` switch ignored user-set
overrides.
Prefer the provider-aware value; fall back to ``model_info.context_window``
only if the resolver returns nothing.
"""
@@ -564,7 +553,6 @@ def resolve_display_context_length(
base_url=base_url or "",
api_key=api_key or "",
provider=provider or None,
custom_providers=custom_providers,
)
if ctx:
return int(ctx)
@@ -843,14 +831,9 @@ def switch_model(
requested=current_provider,
target_model=new_model,
)
# If resolution fell through to "custom" (e.g. named custom provider like
# "ollama-launch" that resolve_runtime_provider doesn't know), keep existing
# credentials. Otherwise use the resolved values (picks up credential rotation,
# base_url adjustments for OpenCode, etc.).
if runtime.get("provider") != "custom":
api_key = runtime.get("api_key", "")
base_url = runtime.get("base_url", "")
api_mode = runtime.get("api_mode", "")
api_key = runtime.get("api_key", "")
base_url = runtime.get("base_url", "")
api_mode = runtime.get("api_mode", "")
except Exception:
pass
@@ -884,31 +867,16 @@ def switch_model(
"message": f"Could not validate `{new_model}`: {e}",
}
# Override rejection if model is in the user's saved provider config.
# API /v1/models may not list cloud/aliased models even though the server supports them.
if not validation.get("accepted"):
override = False
if user_providers:
for up in user_providers:
if isinstance(up, dict) and up.get("provider") == target_provider:
cfg_models = up.get("models", [])
if new_model in cfg_models or any(
m.get("name") == new_model for m in cfg_models if isinstance(m, dict)
):
override = True
break
if override:
validation = {"accepted": True, "persist": True, "recognized": False, "message": validation.get("message", "")}
else:
msg = validation.get("message", "Invalid model")
return ModelSwitchResult(
success=False,
new_model=new_model,
target_provider=target_provider,
provider_label=provider_label,
is_global=is_global,
error_message=msg,
)
msg = validation.get("message", "Invalid model")
return ModelSwitchResult(
success=False,
new_model=new_model,
target_provider=target_provider,
provider_label=provider_label,
is_global=is_global,
error_message=msg,
)
# Apply auto-correction if validation found a closer match
if validation.get("corrected_model"):
@@ -984,7 +952,6 @@ 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 +998,6 @@ 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 +1148,6 @@ 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 +1210,10 @@ 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 +1285,8 @@ 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,
+118 -641
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",
@@ -435,9 +383,6 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"us.meta.llama4-maverick-17b-instruct-v1:0",
"us.meta.llama4-scout-17b-instruct-v1:0",
],
# Azure Foundry: user-provided endpoint and model.
# Empty list because models depend on the endpoint configuration.
"azure-foundry": [],
}
# Vercel AI Gateway: derive the bare-model-id catalog from the curated
@@ -765,15 +710,14 @@ 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)"),
@@ -792,12 +736,10 @@ 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)"),
ProviderEntry("bedrock", "AWS Bedrock", "AWS Bedrock (Claude, Nova, Llama, DeepSeek — IAM or API key)"),
ProviderEntry("azure-foundry", "Azure Foundry", "Azure Foundry (OpenAI-style or Anthropic-style endpoint — your Azure AI deployment)"),
]
# Derived dicts — used throughout the codebase
@@ -827,8 +769,6 @@ _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 +796,6 @@ _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 +807,6 @@ _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",
}
@@ -939,16 +872,7 @@ def fetch_openrouter_models(
if _openrouter_catalog_cache is not None and not force_refresh:
return list(_openrouter_catalog_cache)
# Prefer the remotely-hosted catalog manifest; fall back to the in-repo
# snapshot when the manifest is unreachable. Both are curated lists that
# drive the picker; the OpenRouter live /v1/models filter (tool support,
# free pricing) is applied on top either way.
try:
from hermes_cli.model_catalog import get_curated_openrouter_models
remote = get_curated_openrouter_models()
except Exception:
remote = None
fallback = list(remote) if remote else list(OPENROUTER_MODELS)
fallback = list(OPENROUTER_MODELS)
preferred_ids = [mid for mid, _ in fallback]
try:
@@ -1001,24 +925,6 @@ def model_ids(*, force_refresh: bool = False) -> list[str]:
return [mid for mid, _ in fetch_openrouter_models(force_refresh=force_refresh)]
def get_curated_nous_model_ids() -> list[str]:
"""Return the curated Nous Portal model-id list.
Prefers the remotely-hosted catalog manifest (published under
``website/static/api/model-catalog.json``); falls back to the in-repo
snapshot in ``_PROVIDER_MODELS["nous"]`` when the manifest is
unreachable. Always returns a list (never None).
"""
try:
from hermes_cli.model_catalog import get_curated_nous_models
remote = get_curated_nous_models()
except Exception:
remote = None
if remote:
return list(remote)
return list(_PROVIDER_MODELS.get("nous", []))
def _ai_gateway_model_is_free(pricing: Any) -> bool:
"""Return True if an AI Gateway model has $0 input AND output pricing."""
if not isinstance(pricing, dict):
@@ -1473,124 +1379,6 @@ def curated_models_for_provider(
return [(m, "") for m in models]
def _provider_keys(provider: str) -> set[str]:
key = (provider or "").strip().lower()
normalized = normalize_provider(provider)
return {k for k in (key, normalized) if k}
def _model_in_provider_catalog(name_lower: str, providers: set[str]) -> bool:
return any(
name_lower == model.lower()
for provider in providers
for model in _PROVIDER_MODELS.get(provider, [])
)
_AGGREGATOR_PROVIDERS = frozenset(
{"nous", "openrouter", "ai-gateway", "copilot", "kilocode"}
)
def _resolve_static_model_alias(
name_lower: str,
current_keys: set[str],
) -> Optional[tuple[str, str]]:
"""Resolve short aliases (e.g. sonnet/opus) using static catalogs only."""
try:
from hermes_cli.model_switch import MODEL_ALIASES
except Exception:
return None
identity = MODEL_ALIASES.get(name_lower)
if identity is None:
return None
vendor = identity.vendor
family = identity.family
def _match(provider: str) -> Optional[str]:
models = _PROVIDER_MODELS.get(provider, [])
if not models:
return None
prefix = (
f"{vendor}/{family}"
if provider in _AGGREGATOR_PROVIDERS
else family
).lower()
for model in models:
if model.lower().startswith(prefix):
return model
return None
for provider in current_keys:
if matched := _match(provider):
return provider, matched
for provider in _PROVIDER_MODELS:
if provider in current_keys or provider in _AGGREGATOR_PROVIDERS:
continue
if matched := _match(provider):
return provider, matched
for provider in _AGGREGATOR_PROVIDERS:
if provider in current_keys and (matched := _match(provider)):
return provider, matched
return None
def detect_static_provider_for_model(
model_name: str,
current_provider: str,
) -> Optional[tuple[str, str]]:
"""Auto-detect a provider from static catalogs only.
Returns ``(provider_id, model_name)``. The model name may be remapped
when a static alias or bare provider name resolves to a catalog default.
Returns ``None`` when no confident match is found.
"""
name = (model_name or "").strip()
if not name:
return None
name_lower = name.lower()
current_keys = _provider_keys(current_provider)
alias_match = _resolve_static_model_alias(name_lower, current_keys)
if alias_match:
return alias_match
# --- Step 0: bare provider name typed as model ---
# If someone types `/model nous` or `/model anthropic`, treat it as a
# provider switch and pick the first model from that provider's catalog.
# Skip "custom" and "openrouter" — custom has no model catalog, and
# openrouter requires an explicit model name to be useful.
resolved_provider = _PROVIDER_ALIASES.get(name_lower, name_lower)
if resolved_provider not in {"custom", "openrouter"}:
default_models = _PROVIDER_MODELS.get(resolved_provider, [])
if (
resolved_provider in _PROVIDER_LABELS
and default_models
and resolved_provider not in current_keys
):
return (resolved_provider, default_models[0])
# Aggregators list other providers' models — never auto-switch TO them
# If the model belongs to the current provider's catalog, don't suggest switching
if _model_in_provider_catalog(name_lower, current_keys):
return None
# --- Step 1: check static provider catalogs for a direct match ---
for pid, models in _PROVIDER_MODELS.items():
if pid in current_keys or pid in _AGGREGATOR_PROVIDERS:
continue
if any(name_lower == m.lower() for m in models):
return (pid, name)
return None
def detect_provider_for_model(
model_name: str,
current_provider: str,
@@ -1603,19 +1391,86 @@ def detect_provider_for_model(
Priority:
0. Bare provider name switch to that provider's default model
1. Direct provider static catalog match
2. OpenRouter catalog match
1. Direct provider with credentials (highest)
2. Direct provider without credentials remap to OpenRouter slug
3. OpenRouter catalog match
"""
name = (model_name or "").strip()
if not name:
return None
static_match = detect_static_provider_for_model(name, current_provider)
if static_match:
return static_match
if _model_in_provider_catalog(name.lower(), _provider_keys(current_provider)):
name_lower = name.lower()
# --- Step 0: bare provider name typed as model ---
# If someone types `/model nous` or `/model anthropic`, treat it as a
# provider switch and pick the first model from that provider's catalog.
# Skip "custom" and "openrouter" — custom has no model catalog, and
# openrouter requires an explicit model name to be useful.
resolved_provider = _PROVIDER_ALIASES.get(name_lower, name_lower)
if resolved_provider not in {"custom", "openrouter"}:
default_models = _PROVIDER_MODELS.get(resolved_provider, [])
if (
resolved_provider in _PROVIDER_LABELS
and default_models
and resolved_provider != normalize_provider(current_provider)
):
return (resolved_provider, default_models[0])
# Aggregators list other providers' models — never auto-switch TO them
_AGGREGATORS = {"nous", "openrouter", "ai-gateway", "copilot", "kilocode"}
# If the model belongs to the current provider's catalog, don't suggest switching
current_models = _PROVIDER_MODELS.get(current_provider, [])
if any(name_lower == m.lower() for m in current_models):
return None
# --- Step 1: check static provider catalogs for a direct match ---
direct_match: Optional[str] = None
for pid, models in _PROVIDER_MODELS.items():
if pid == current_provider or pid in _AGGREGATORS:
continue
if any(name_lower == m.lower() for m in models):
direct_match = pid
break
if direct_match:
# Check if we have credentials for this provider — env vars,
# credential pool, or auth store entries.
has_creds = False
try:
from hermes_cli.auth import PROVIDER_REGISTRY
pconfig = PROVIDER_REGISTRY.get(direct_match)
if pconfig:
for env_var in pconfig.api_key_env_vars:
if os.getenv(env_var, "").strip():
has_creds = True
break
except Exception:
pass
# Also check credential pool and auth store — covers OAuth,
# Claude Code tokens, and other non-env-var credentials (#10300).
if not has_creds:
try:
from agent.credential_pool import load_pool
pool = load_pool(direct_match)
if pool.has_credentials():
has_creds = True
except Exception:
pass
if not has_creds:
try:
from hermes_cli.auth import _load_auth_store
store = _load_auth_store()
if direct_match in store.get("providers", {}) or direct_match in store.get("credential_pool", {}):
has_creds = True
except Exception:
pass
# Always return the direct provider match. If credentials are
# missing, the client init will give a clear error rather than
# silently routing through the wrong provider (#10300).
return (direct_match, name)
# --- Step 2: check OpenRouter catalog ---
# First try exact match (handles provider/model format)
or_slug = _find_openrouter_slug(name)
@@ -1680,41 +1535,31 @@ 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 +1572,20 @@ 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 +1607,14 @@ 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 +1771,6 @@ 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 +1783,6 @@ 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 +1978,6 @@ 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 +2148,6 @@ 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 +2527,6 @@ 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":
@@ -3094,8 +2571,8 @@ def validate_requested_model(
)
return {
"accepted": True,
"persist": True,
"accepted": False,
"persist": False,
"recognized": False,
"message": message,
}
+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] = []
-219
View File
@@ -1,219 +0,0 @@
"""Oneshot (-z) mode: send a prompt, get the final content block, exit.
Bypasses cli.py entirely. No banner, no spinner, no session_id line,
no stderr chatter. Just the agent's final text to stdout.
Toolsets = whatever the user has configured for "cli" in `hermes tools`.
Rules / memory / AGENTS.md / preloaded skills = same as a normal chat turn.
Approvals = auto-bypassed (HERMES_YOLO_MODE=1 is set for the call).
Working directory = the user's CWD (AGENTS.md etc. resolve from there as usual).
Model / provider selection mirrors `hermes chat`:
- Both optional. If omitted, use the user's configured default.
- If both given, pair them exactly as given.
- If only --model given, auto-detect the provider that serves it.
- If only --provider given, error out (ambiguous caller must pick a model).
Env var fallbacks (used when the corresponding arg is not passed):
- HERMES_INFERENCE_MODEL
- HERMES_INFERENCE_PROVIDER (already read by resolve_runtime_provider)
"""
from __future__ import annotations
import logging
import os
import sys
from contextlib import redirect_stderr, redirect_stdout
from typing import Optional
def run_oneshot(
prompt: str,
model: Optional[str] = None,
provider: Optional[str] = None,
) -> int:
"""Execute a single prompt and print only the final content block.
Args:
prompt: The user message to send.
model: Optional model override. Falls back to HERMES_INFERENCE_MODEL
env var, then config.yaml's model.default / model.model.
provider: Optional provider override. Falls back to
HERMES_INFERENCE_PROVIDER env var, then config.yaml's model.provider,
then "auto".
Returns the exit code. Caller should sys.exit() with the return.
"""
# Silence every stdlib logger for the duration. AIAgent, tools, and
# provider adapters all log to stderr through the root logger; file
# handlers added by setup_logging() keep working (they're attached to
# the root logger's handler list, not affected by level), but no
# bytes reach the terminal.
logging.disable(logging.CRITICAL)
# --provider without --model is ambiguous: carrying the user's configured
# model across to a different provider is usually wrong (that provider may
# not host it), and silently picking the provider's catalog default hides
# the mismatch. Require the caller to be explicit. Validate BEFORE the
# stderr redirect so the message actually reaches the terminal.
env_model_early = os.getenv("HERMES_INFERENCE_MODEL", "").strip()
if provider and not ((model or "").strip() or env_model_early):
sys.stderr.write(
"hermes -z: --provider requires --model (or HERMES_INFERENCE_MODEL). "
"Pass both explicitly, or neither to use your configured defaults.\n"
)
return 2
# Auto-approve any shell / tool approvals. Non-interactive by
# definition — a prompt would hang forever.
os.environ["HERMES_YOLO_MODE"] = "1"
os.environ["HERMES_ACCEPT_HOOKS"] = "1"
# Redirect stderr AND stdout to devnull for the entire call tree.
# We'll print the final response to the real stdout at the end.
real_stdout = sys.stdout
devnull = open(os.devnull, "w")
try:
with redirect_stdout(devnull), redirect_stderr(devnull):
response = _run_agent(prompt, model=model, provider=provider)
finally:
try:
devnull.close()
except Exception:
pass
if response:
real_stdout.write(response)
if not response.endswith("\n"):
real_stdout.write("\n")
real_stdout.flush()
return 0
def _run_agent(
prompt: str,
model: Optional[str] = None,
provider: Optional[str] = None,
) -> str:
"""Build an AIAgent exactly like a normal CLI chat turn would, then
run a single conversation. Returns the final response string."""
# Imports are local so they don't run when hermes is invoked for
# other commands (keeps top-level CLI startup cheap).
from hermes_cli.config import load_config
from hermes_cli.models import detect_provider_for_model
from hermes_cli.runtime_provider import resolve_runtime_provider
from hermes_cli.tools_config import _get_platform_tools
from run_agent import AIAgent
cfg = load_config()
# Resolve effective model: explicit arg → env var → config.
model_cfg = cfg.get("model") or {}
if isinstance(model_cfg, str):
cfg_model = model_cfg
else:
cfg_model = model_cfg.get("default") or model_cfg.get("model") or ""
env_model = os.getenv("HERMES_INFERENCE_MODEL", "").strip()
effective_model = (model or "").strip() or env_model or cfg_model
# Resolve effective provider: explicit arg → (auto-detect from model if
# model was explicit) → env / config (handled inside resolve_runtime_provider).
#
# When --model is given without --provider, auto-detect the provider that
# serves that model — same semantic as `/model <name>` in an interactive
# session. Without this, resolve_runtime_provider() would fall back to
# 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
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".
# sorted() gives stable ordering; set→list for AIAgent's signature.
toolsets_list = sorted(_get_platform_tools(cfg, "cli"))
agent = AIAgent(
api_key=runtime.get("api_key"),
base_url=runtime.get("base_url"),
provider=runtime.get("provider"),
api_mode=runtime.get("api_mode"),
model=effective_model,
enabled_toolsets=toolsets_list,
quiet_mode=True,
platform="cli",
credential_pool=runtime.get("credential_pool"),
# Interactive callbacks are intentionally NOT wired beyond this
# one. In oneshot mode there's no user sitting at a terminal:
# - clarify → returns a synthetic "pick a default" instruction
# so the agent continues instead of stalling on
# the tool's built-in "not available" error
# - sudo password prompt → terminal_tool gates on
# HERMES_INTERACTIVE which we never set
# - shell-hook approval → auto-approved via HERMES_ACCEPT_HOOKS=1
# (set above); also falls back to deny on non-tty
# - dangerous-command approval → bypassed via HERMES_YOLO_MODE=1
# - skill secret capture → returns gracefully when no callback set
clarify_callback=_oneshot_clarify_callback,
)
# Belt-and-braces: make sure AIAgent doesn't invoke any streaming
# display callbacks that would bypass our stdout capture.
agent.suppress_status_output = True
agent.stream_delta_callback = None
agent.tool_gen_callback = None
return agent.chat(prompt) or ""
def _oneshot_clarify_callback(question: str, choices=None) -> str:
"""Clarify is disabled in oneshot mode — tell the agent to pick a
default and proceed instead of stalling or erroring."""
if choices:
return (
f"[oneshot mode: no user available. Pick the best option from "
f"{choices} using your own judgment and continue.]"
)
return (
"[oneshot mode: no user available. Make the most reasonable "
"assumption you can and continue.]"
)
-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)
-40
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",
@@ -165,35 +158,15 @@ 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",
),
# Azure Foundry: supports both OpenAI-style and Anthropic-style endpoints.
# The transport is determined at runtime from config.yaml model.api_mode.
"azure-foundry": 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 +281,6 @@ 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 +291,6 @@ 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 +313,6 @@ _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",
+16 -243
View File
@@ -221,32 +221,6 @@ def _resolve_runtime_from_pool_entry(
elif provider == "copilot":
api_mode = _copilot_runtime_api_mode(model_cfg, getattr(entry, "runtime_api_key", ""))
base_url = base_url or PROVIDER_REGISTRY["copilot"].inference_base_url
elif provider == "azure-foundry":
# Azure Foundry: read api_mode and base_url from config
cfg_provider = str(model_cfg.get("provider") or "").strip().lower()
if cfg_provider == "azure-foundry":
cfg_base_url = str(model_cfg.get("base_url") or "").strip().rstrip("/")
if cfg_base_url:
base_url = cfg_base_url
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)
else:
configured_provider = str(model_cfg.get("provider") or "").strip().lower()
# Honour model.base_url from config.yaml when the configured provider
@@ -260,16 +234,11 @@ 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 +438,6 @@ 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
@@ -644,88 +589,6 @@ def _resolve_openrouter_runtime(
}
def _resolve_azure_foundry_runtime(
*,
requested_provider: str,
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.
Reads ``model.base_url`` + ``model.api_mode`` from config.yaml (or
explicit overrides), pulls the API key from ``.env`` / env var, and
strips a trailing ``/v1`` for Anthropic-style endpoints because the
Anthropic SDK appends ``/v1/messages`` internally.
Raises :class:`AuthError` when required values are missing.
"""
explicit_api_key = str(explicit_api_key or "").strip()
explicit_base_url_clean = str(explicit_base_url or "").strip().rstrip("/")
cfg_provider = str(model_cfg.get("provider") or "").strip().lower()
cfg_base_url = ""
cfg_api_mode = "chat_completions"
if cfg_provider == "azure-foundry":
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:
raise AuthError(
"Azure Foundry requires a base URL. Set it via 'hermes model' or "
"the AZURE_FOUNDRY_BASE_URL environment variable."
)
api_key = explicit_api_key
if not api_key:
try:
from hermes_cli.config import get_env_value
api_key = get_env_value("AZURE_FOUNDRY_API_KEY") or ""
except Exception:
api_key = ""
if not api_key:
api_key = os.getenv("AZURE_FOUNDRY_API_KEY", "").strip()
if not api_key:
raise AuthError(
"Azure Foundry requires an API key. Set AZURE_FOUNDRY_API_KEY in "
"~/.hermes/.env or run 'hermes model' to configure."
)
# Anthropic SDK appends /v1/messages itself, so strip any trailing /v1
# we inherited from the configured base_url to avoid double-/v1 paths.
if cfg_api_mode == "anthropic_messages":
base_url = re.sub(r"/v1/?$", "", base_url)
source = "explicit" if (explicit_api_key or explicit_base_url) else "config"
return {
"provider": "azure-foundry",
"api_mode": cfg_api_mode,
"base_url": base_url,
"api_key": api_key,
"source": source,
"requested_provider": requested_provider,
}
def _resolve_explicit_runtime(
*,
provider: str,
@@ -815,15 +678,6 @@ def _resolve_explicit_runtime(
"requested_provider": requested_provider,
}
# Azure Foundry: user-configured endpoint with selectable API mode
if provider == "azure-foundry":
return _resolve_azure_foundry_runtime(
requested_provider=requested_provider,
model_cfg=model_cfg,
explicit_api_key=explicit_api_key,
explicit_base_url=explicit_base_url,
)
pconfig = PROVIDER_REGISTRY.get(provider)
if pconfig and pconfig.auth_type == "api_key":
env_url = ""
@@ -892,41 +746,6 @@ def resolve_runtime_provider(
"""
requested_provider = resolve_requested_provider(requested)
# Azure Anthropic short-circuit: when explicitly targeting an Azure endpoint
# with provider="anthropic", bypass _resolve_named_custom_runtime (which would
# return provider="custom" with chat_completions api_mode and no valid key).
# Instead, use the Azure key directly with anthropic_messages api_mode.
_eff_base = (explicit_base_url or "").strip()
if requested_provider == "anthropic" and "azure.com" in _eff_base:
_azure_key = (
(explicit_api_key or "").strip()
or os.getenv("AZURE_ANTHROPIC_KEY", "").strip()
or os.getenv("ANTHROPIC_API_KEY", "").strip()
)
return {
"provider": "anthropic",
"api_mode": "anthropic_messages",
"base_url": _eff_base.rstrip("/"),
"api_key": _azure_key,
"source": "azure-explicit",
"requested_provider": requested_provider,
}
# Azure Foundry: user-configured endpoint with selectable API mode
# (OpenAI-style chat_completions or Anthropic-style anthropic_messages).
# Resolve before the custom-runtime / pool / generic paths so Azure
# config is always picked up from model.base_url + model.api_mode,
# regardless of whether the caller passed explicit_* args.
if requested_provider == "azure-foundry":
azure_runtime = _resolve_azure_foundry_runtime(
requested_provider=requested_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
custom_runtime = _resolve_named_custom_runtime(
requested_provider=requested_provider,
explicit_api_key=explicit_api_key,
@@ -1105,6 +924,13 @@ def resolve_runtime_provider(
# Anthropic (native Messages API)
if provider == "anthropic":
from agent.anthropic_adapter import resolve_anthropic_token
token = resolve_anthropic_token()
if not token:
raise AuthError(
"No Anthropic credentials found. Set ANTHROPIC_TOKEN or ANTHROPIC_API_KEY, "
"run 'claude setup-token', or authenticate with 'claude /login'."
)
# Allow base URL override from config.yaml model.base_url, but only
# when the configured provider is anthropic — otherwise a non-Anthropic
# base_url (e.g. Codex endpoint) would leak into Anthropic requests.
@@ -1113,54 +939,6 @@ def resolve_runtime_provider(
if cfg_provider == "anthropic":
cfg_base_url = (model_cfg.get("base_url") or "").strip().rstrip("/")
base_url = cfg_base_url or "https://api.anthropic.com"
# For Azure AI Foundry endpoints, use ANTHROPIC_API_KEY directly —
# Claude Code OAuth tokens (sk-ant-oat01) are not accepted by Azure.
# Azure keys don't start with "sk-ant-" so resolve_anthropic_token()
# would find the Claude Code OAuth token first (priority 3) and return
# that instead, causing 401s. Detect Azure endpoints and use the env
# key directly to bypass the OAuth priority chain.
_is_azure_endpoint = "azure.com" in base_url.lower() or (
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()
)
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."
)
else:
from agent.anthropic_adapter import resolve_anthropic_token
token = resolve_anthropic_token()
if not token:
raise AuthError(
"No Anthropic credentials found. Set ANTHROPIC_TOKEN or ANTHROPIC_API_KEY, "
"run 'claude setup-token', or authenticate with 'claude /login'."
)
return {
"provider": "anthropic",
"api_mode": "anthropic_messages",
@@ -1262,20 +1040,15 @@ 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)
+65 -96
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),
@@ -2916,6 +2863,17 @@ SETUP_SECTIONS = [
("agent", "Agent Settings", setup_agent_settings),
]
# The returning-user menu intentionally omits standalone TTS because model setup
# already includes TTS selection and tools setup covers the rest of the provider
# configuration. Keep this list in the same order as the visible menu entries.
RETURNING_USER_MENU_SECTION_KEYS = [
"model",
"terminal",
"gateway",
"tools",
"agent",
]
def run_setup_wizard(args):
"""Run the interactive setup wizard.
@@ -2940,9 +2898,6 @@ def run_setup_wizard(args):
save_config(copy.deepcopy(DEFAULT_CONFIG))
print_success("Configuration reset to defaults.")
reconfigure_requested = bool(getattr(args, "reconfigure", False))
quick_requested = bool(getattr(args, "quick", False))
config = load_config()
hermes_home = get_hermes_home()
@@ -3034,36 +2989,50 @@ def run_setup_wizard(args):
migration_ran = False
if is_existing:
# Existing install — default is the full-wizard reconfigure flow.
# Every prompt shows the current value as its default, so pressing
# Enter keeps it. Opt into `--quick` for the narrow "just fill in
# missing items" flow (useful after a partial OpenClaw migration
# or when a required API key got cleared).
if quick_requested:
# ── Returning User Menu ──
print()
print_header("Welcome Back!")
print_success("You already have Hermes configured.")
print()
menu_choices = [
"Quick Setup - configure missing items only",
"Full Setup - reconfigure everything",
"Model & Provider",
"Terminal Backend",
"Messaging Platforms (Gateway)",
"Tools",
"Agent Settings",
"Exit",
]
choice = prompt_choice("What would you like to do?", menu_choices, 0)
if choice == 0:
# Quick setup
_run_quick_setup(config, hermes_home)
return
print()
print_header("Reconfigure")
print_success("You already have Hermes configured.")
print_info("Running the full wizard — each prompt shows your current value.")
print_info("Press Enter to keep it, or type a new value to change it.")
print_info("")
print_info("Tip: jump straight to a section with 'hermes setup model|terminal|")
print_info(" gateway|tools|agent', or fill only missing items with --quick.")
# Fall through to the "Full Setup — run all sections" block below.
# --reconfigure is now the default on existing installs; the flag
# is preserved for backwards compatibility but is a no-op here.
elif choice == 1:
# Full setup — fall through to run all sections
pass
elif choice == 7:
print_info("Exiting. Run 'hermes setup' again when ready.")
return
elif 2 <= choice <= 6:
# Individual section — map by key, not by position.
# SETUP_SECTIONS includes TTS but the returning-user menu skips it,
# so positional indexing (choice - 2) would dispatch the wrong section.
section_key = RETURNING_USER_MENU_SECTION_KEYS[choice - 2]
section = next((s for s in SETUP_SECTIONS if s[0] == section_key), None)
if section:
_, label, func = section
func(config)
save_config(config)
_print_setup_summary(config, hermes_home)
return
else:
# ── First-Time Setup ──
print()
# --reconfigure / --quick on a fresh install are meaningless — fall
# through to the normal first-time flow.
if reconfigure_requested or quick_requested:
print_info("No existing configuration found — running first-time setup.")
print()
# Offer OpenClaw migration before configuration begins
migration_ran = _offer_openclaw_migration(hermes_home)
if migration_ran:

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