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Author SHA1 Message Date
kshitijk4poor b277962dcc refactor: extract codex_responses logic into dedicated adapter
Move 10 Responses API format-conversion and normalization functions from
run_agent.py into agent/codex_responses_adapter.py. All functions are now
stateless module-level functions with zero self references.

The AIAgent methods remain as thin one-line wrappers that delegate to the
adapter, so all callers (tests, gateway, CLI) are unchanged.

Functions extracted:
- _deterministic_call_id: deterministic tool call ID generation
- _split_responses_tool_id: composite ID splitting
- _derive_responses_function_call_id: call_ to fc_ prefix conversion
- _responses_tools: chat completions tool schema → Responses format
- _chat_messages_to_responses_input: message format conversion
- _preflight_codex_input_items: input item normalization
- _preflight_codex_api_kwargs: API kwargs validation/cleaning
- _extract_responses_message_text: text extraction from response items
- _extract_responses_reasoning_text: reasoning extraction
- _normalize_codex_response: full response normalization

This brings codex_responses in line with anthropic_adapter.py and
bedrock_adapter.py which already have their own adapter files.

run_agent.py: 12410 → 11845 lines (-565 net)
2026-04-20 16:32:43 +05:30
420 changed files with 7710 additions and 42260 deletions
-8
View File
@@ -1,8 +0,0 @@
name: 'Setup Nix'
description: 'Install Nix with DeterminateSystems and enable magic-nix-cache'
runs:
using: composite
steps:
- uses: DeterminateSystems/nix-installer-action@ef8a148080ab6020fd15196c2084a2eea5ff2d25 # v22
- uses: DeterminateSystems/magic-nix-cache-action@565684385bcd71bad329742eefe8d12f2e765b39 # v13
-68
View File
@@ -1,68 +0,0 @@
name: Nix Lockfile Check
on:
pull_request:
workflow_dispatch:
permissions:
contents: read
pull-requests: write
concurrency:
group: nix-lockfile-check-${{ github.ref }}
cancel-in-progress: true
jobs:
check:
runs-on: ubuntu-latest
timeout-minutes: 20
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: ./.github/actions/nix-setup
- name: Resolve head SHA
id: sha
shell: bash
run: |
FULL="${{ github.event.pull_request.head.sha || github.sha }}"
echo "full=$FULL" >> "$GITHUB_OUTPUT"
echo "short=${FULL:0:7}" >> "$GITHUB_OUTPUT"
- name: Check lockfile hashes
id: check
continue-on-error: true
env:
LINK_SHA: ${{ steps.sha.outputs.full }}
run: nix run .#fix-lockfiles -- --check
- name: Post sticky PR comment (stale)
if: steps.check.outputs.stale == 'true' && github.event_name == 'pull_request'
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
with:
header: nix-lockfile-check
message: |
### ⚠️ npm lockfile hash out of date
Checked against commit [`${{ steps.sha.outputs.short }}`](${{ github.server_url }}/${{ github.repository }}/commit/${{ steps.sha.outputs.full }}) (PR head at check time).
The `hash = "sha256-..."` line in these nix files no longer matches the committed `package-lock.json`:
${{ steps.check.outputs.report }}
#### Apply the fix
- [ ] **Apply lockfile fix** — tick to push a commit with the correct hashes to this PR branch
- Or [run the Nix Lockfile Fix workflow](${{ github.server_url }}/${{ github.repository }}/actions/workflows/nix-lockfile-fix.yml) manually (pass PR `#${{ github.event.pull_request.number }}`)
- Or locally: `nix run .#fix-lockfiles -- --apply` and commit the diff
- name: Clear sticky PR comment (resolved)
if: steps.check.outputs.stale == 'false' && github.event_name == 'pull_request'
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
with:
header: nix-lockfile-check
delete: true
- name: Fail if stale
if: steps.check.outputs.stale == 'true'
run: exit 1
-149
View File
@@ -1,149 +0,0 @@
name: Nix Lockfile Fix
on:
workflow_dispatch:
inputs:
pr_number:
description: 'PR number to fix (leave empty to run on the selected branch)'
required: false
type: string
issue_comment:
types: [edited]
permissions:
contents: write
pull-requests: write
concurrency:
group: nix-lockfile-fix-${{ github.event.issue.number || github.event.inputs.pr_number || github.ref }}
cancel-in-progress: false
jobs:
fix:
# Run on manual dispatch OR when a task-list checkbox in the sticky
# lockfile-check comment flips from `[ ]` to `[x]`.
if: |
github.event_name == 'workflow_dispatch' ||
(github.event_name == 'issue_comment'
&& github.event.issue.pull_request != null
&& contains(github.event.comment.body, '[x] **Apply lockfile fix**')
&& !contains(github.event.changes.body.from, '[x] **Apply lockfile fix**'))
runs-on: ubuntu-latest
timeout-minutes: 25
steps:
- name: Authorize & resolve PR
id: resolve
uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1
with:
script: |
// 1. Verify the actor has write access — applies to both checkbox
// clicks and manual dispatch.
const { data: perm } =
await github.rest.repos.getCollaboratorPermissionLevel({
owner: context.repo.owner,
repo: context.repo.repo,
username: context.actor,
});
if (!['admin', 'write', 'maintain'].includes(perm.permission)) {
core.setFailed(
`${context.actor} lacks write access (has: ${perm.permission})`
);
return;
}
// 2. Resolve which ref to check out.
let prNumber = '';
if (context.eventName === 'issue_comment') {
prNumber = String(context.payload.issue.number);
} else if (context.eventName === 'workflow_dispatch') {
prNumber = context.payload.inputs.pr_number || '';
}
if (!prNumber) {
core.setOutput('ref', context.ref.replace(/^refs\/heads\//, ''));
core.setOutput('repo', context.repo.repo);
core.setOutput('owner', context.repo.owner);
core.setOutput('pr', '');
return;
}
const { data: pr } = await github.rest.pulls.get({
owner: context.repo.owner,
repo: context.repo.repo,
pull_number: Number(prNumber),
});
core.setOutput('ref', pr.head.ref);
core.setOutput('repo', pr.head.repo.name);
core.setOutput('owner', pr.head.repo.owner.login);
core.setOutput('pr', String(pr.number));
# Wipe the sticky lockfile-check comment to a "running" state as soon
# as the job is authorized, so the user sees their click was picked up
# before the ~minute of nix build work.
- name: Mark sticky as running
if: steps.resolve.outputs.pr != ''
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
with:
header: nix-lockfile-check
number: ${{ steps.resolve.outputs.pr }}
message: |
### 🔄 Applying lockfile fix…
Triggered by @${{ github.actor }} — [workflow run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}).
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
with:
repository: ${{ steps.resolve.outputs.owner }}/${{ steps.resolve.outputs.repo }}
ref: ${{ steps.resolve.outputs.ref }}
token: ${{ secrets.GITHUB_TOKEN }}
fetch-depth: 0
- 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
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): refresh npm lockfile hashes"
git push
- name: Update sticky (applied)
if: steps.apply.outputs.changed == 'true' && steps.resolve.outputs.pr != ''
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
with:
header: nix-lockfile-check
number: ${{ steps.resolve.outputs.pr }}
message: |
### ✅ Lockfile fix applied
Pushed a commit refreshing the npm lockfile hashes — [workflow run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}).
- name: Update sticky (already current)
if: steps.apply.outputs.changed == 'false' && steps.resolve.outputs.pr != ''
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
with:
header: nix-lockfile-check
number: ${{ steps.resolve.outputs.pr }}
message: |
### ✅ Lockfile hashes already current
Nothing to commit — [workflow run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}).
- name: Update sticky (failed)
if: failure() && steps.resolve.outputs.pr != ''
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
with:
header: nix-lockfile-check
number: ${{ steps.resolve.outputs.pr }}
message: |
### ❌ Lockfile fix failed
See the [workflow run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}) for logs.
+12 -2
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@@ -4,6 +4,15 @@ on:
push:
branches: [main]
pull_request:
paths:
- 'flake.nix'
- 'flake.lock'
- 'nix/**'
- 'pyproject.toml'
- 'uv.lock'
- 'hermes_cli/**'
- 'run_agent.py'
- 'acp_adapter/**'
permissions:
contents: read
@@ -20,8 +29,9 @@ jobs:
runs-on: ${{ matrix.os }}
timeout-minutes: 30
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: ./.github/actions/nix-setup
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: DeterminateSystems/nix-installer-action@ef8a148080ab6020fd15196c2084a2eea5ff2d25 # v22
- uses: DeterminateSystems/magic-nix-cache-action@565684385bcd71bad329742eefe8d12f2e765b39 # v13
- name: Check flake
if: runner.os == 'Linux'
run: nix flake check --print-build-logs
-49
View File
@@ -566,52 +566,3 @@ python -m pytest tests/ -q -n 4
Worker count above 4 will surface test-ordering flakes that CI never sees.
Always run the full suite before pushing changes.
### Don't write change-detector tests
A test is a **change-detector** if it fails whenever data that is **expected
to change** gets updated — model catalogs, config version numbers,
enumeration counts, hardcoded lists of provider models. These tests add no
behavioral coverage; they just guarantee that routine source updates break
CI and cost engineering time to "fix."
**Do not write:**
```python
# catalog snapshot — breaks every model release
assert "gemini-2.5-pro" in _PROVIDER_MODELS["gemini"]
assert "MiniMax-M2.7" in models
# config version literal — breaks every schema bump
assert DEFAULT_CONFIG["_config_version"] == 21
# enumeration count — breaks every time a skill/provider is added
assert len(_PROVIDER_MODELS["huggingface"]) == 8
```
**Do write:**
```python
# behavior: does the catalog plumbing work at all?
assert "gemini" in _PROVIDER_MODELS
assert len(_PROVIDER_MODELS["gemini"]) >= 1
# behavior: does migration bump the user's version to current latest?
assert raw["_config_version"] == DEFAULT_CONFIG["_config_version"]
# invariant: no plan-only model leaks into the legacy list
assert not (set(moonshot_models) & coding_plan_only_models)
# invariant: every model in the catalog has a context-length entry
for m in _PROVIDER_MODELS["huggingface"]:
assert m.lower() in DEFAULT_CONTEXT_LENGTHS_LOWER
```
The rule: if the test reads like a snapshot of current data, delete it. If
it reads like a contract about how two pieces of data must relate, keep it.
When a PR adds a new provider/model and you want a test, make the test
assert the relationship (e.g. "catalog entries all have context lengths"),
not the specific names.
Reviewers should reject new change-detector tests; authors should convert
them into invariants before re-requesting review.
+2
View File
@@ -27,10 +27,12 @@ WORKDIR /opt/hermes
# Copy only package manifests first so npm install + Playwright are cached
# unless the lockfiles themselves change.
COPY package.json package-lock.json ./
COPY scripts/whatsapp-bridge/package.json scripts/whatsapp-bridge/package-lock.json scripts/whatsapp-bridge/
COPY web/package.json web/package-lock.json web/
RUN npm install --prefer-offline --no-audit && \
npx playwright install --with-deps chromium --only-shell && \
(cd scripts/whatsapp-bridge && npm install --prefer-offline --no-audit) && \
(cd web && npm install --prefer-offline --no-audit) && \
npm cache clean --force
-3
View File
@@ -63,9 +63,6 @@ def make_approval_callback(
logger.warning("Permission request timed out or failed: %s", exc)
return "deny"
if response is None:
return "deny"
outcome = response.outcome
if isinstance(outcome, AllowedOutcome):
option_id = outcome.option_id
+14 -74
View File
@@ -4,7 +4,6 @@ from __future__ import annotations
import asyncio
import logging
import os
from collections import defaultdict, deque
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Deque, Optional
@@ -52,7 +51,7 @@ try:
except ImportError:
from acp.schema import AuthMethod as AuthMethodAgent # type: ignore[attr-defined]
from acp_adapter.auth import detect_provider
from acp_adapter.auth import detect_provider, has_provider
from acp_adapter.events import (
make_message_cb,
make_step_cb,
@@ -72,11 +71,6 @@ except Exception:
# Thread pool for running AIAgent (synchronous) in parallel.
_executor = ThreadPoolExecutor(max_workers=4, thread_name_prefix="acp-agent")
# Server-side page size for list_sessions. The ACP ListSessionsRequest schema
# does not expose a client-side limit, so this is a fixed cap that clients
# paginate against using `cursor` / `next_cursor`.
_LIST_SESSIONS_PAGE_SIZE = 50
def _extract_text(
prompt: list[
@@ -357,18 +351,9 @@ class HermesACPAgent(acp.Agent):
)
async def authenticate(self, method_id: str, **kwargs: Any) -> AuthenticateResponse | None:
# Only accept authenticate() calls whose method_id matches the
# provider we advertised in initialize(). Without this check,
# authenticate() would acknowledge any method_id as long as the
# server has provider credentials configured — harmless under
# Hermes' threat model (ACP is stdio-only, local-trust), but poor
# API hygiene and confusing if ACP ever grows multi-method auth.
provider = detect_provider()
if not provider:
return None
if not isinstance(method_id, str) or method_id.strip().lower() != provider:
return None
return AuthenticateResponse()
if has_provider():
return AuthenticateResponse()
return None
# ---- Session management -------------------------------------------------
@@ -452,28 +437,7 @@ class HermesACPAgent(acp.Agent):
cwd: str | None = None,
**kwargs: Any,
) -> ListSessionsResponse:
"""List ACP sessions with optional ``cwd`` filtering and cursor pagination.
``cwd`` is passed through to ``SessionManager.list_sessions`` which already
normalizes and filters by working directory. ``cursor`` is a ``session_id``
previously returned as ``next_cursor``; results resume after that entry.
Server-side page size is capped at ``_LIST_SESSIONS_PAGE_SIZE``; when more
results remain, ``next_cursor`` is set to the last returned ``session_id``.
"""
infos = self.session_manager.list_sessions(cwd=cwd)
if cursor:
for idx, s in enumerate(infos):
if s["session_id"] == cursor:
infos = infos[idx + 1:]
break
else:
# Unknown cursor -> empty page (do not fall back to full list).
infos = []
has_more = len(infos) > _LIST_SESSIONS_PAGE_SIZE
infos = infos[:_LIST_SESSIONS_PAGE_SIZE]
sessions = []
for s in infos:
updated_at = s.get("updated_at")
@@ -487,9 +451,7 @@ class HermesACPAgent(acp.Agent):
updated_at=updated_at,
)
)
next_cursor = sessions[-1].session_id if has_more and sessions else None
return ListSessionsResponse(sessions=sessions, next_cursor=next_cursor)
return ListSessionsResponse(sessions=sessions)
# ---- Prompt (core) ------------------------------------------------------
@@ -555,32 +517,15 @@ class HermesACPAgent(acp.Agent):
agent.step_callback = step_cb
agent.message_callback = message_cb
# Approval callback is per-thread (thread-local, GHSA-qg5c-hvr5-hjgr).
# Set it INSIDE _run_agent so the TLS write happens in the executor
# thread — setting it here would write to the event-loop thread's TLS,
# not the executor's. Also set HERMES_INTERACTIVE so approval.py
# takes the CLI-interactive path (which calls the registered
# callback via prompt_dangerous_approval) instead of the
# non-interactive auto-approve branch (GHSA-96vc-wcxf-jjff).
# ACP's conn.request_permission maps cleanly to the interactive
# callback shape — not the gateway-queue HERMES_EXEC_ASK path,
# which requires a notify_cb registered in _gateway_notify_cbs.
previous_approval_cb = None
previous_interactive = None
if approval_cb:
try:
from tools import terminal_tool as _terminal_tool
previous_approval_cb = getattr(_terminal_tool, "_approval_callback", None)
_terminal_tool.set_approval_callback(approval_cb)
except Exception:
logger.debug("Could not set ACP approval callback", exc_info=True)
def _run_agent() -> dict:
nonlocal previous_approval_cb, previous_interactive
if approval_cb:
try:
from tools import terminal_tool as _terminal_tool
previous_approval_cb = _terminal_tool._get_approval_callback()
_terminal_tool.set_approval_callback(approval_cb)
except Exception:
logger.debug("Could not set ACP approval callback", exc_info=True)
# Signal to tools.approval that we have an interactive callback
# and the non-interactive auto-approve path must not fire.
previous_interactive = os.environ.get("HERMES_INTERACTIVE")
os.environ["HERMES_INTERACTIVE"] = "1"
try:
result = agent.run_conversation(
user_message=user_text,
@@ -592,11 +537,6 @@ class HermesACPAgent(acp.Agent):
logger.exception("Agent error in session %s", session_id)
return {"final_response": f"Error: {e}", "messages": state.history}
finally:
# Restore HERMES_INTERACTIVE.
if previous_interactive is None:
os.environ.pop("HERMES_INTERACTIVE", None)
else:
os.environ["HERMES_INTERACTIVE"] = previous_interactive
if approval_cb:
try:
from tools import terminal_tool as _terminal_tool
@@ -673,8 +613,8 @@ class HermesACPAgent(acp.Agent):
await self._conn.session_update(
session_id=session_id,
update=AvailableCommandsUpdate(
session_update="available_commands_update",
available_commands=self._available_commands(),
sessionUpdate="available_commands_update",
availableCommands=self._available_commands(),
),
)
except Exception:
-326
View File
@@ -1,326 +0,0 @@
from __future__ import annotations
from dataclasses import dataclass
from datetime import datetime, timezone
from typing import Any, Optional
import httpx
from agent.anthropic_adapter import _is_oauth_token, resolve_anthropic_token
from hermes_cli.auth import _read_codex_tokens, resolve_codex_runtime_credentials
from hermes_cli.runtime_provider import resolve_runtime_provider
def _utc_now() -> datetime:
return datetime.now(timezone.utc)
@dataclass(frozen=True)
class AccountUsageWindow:
label: str
used_percent: Optional[float] = None
reset_at: Optional[datetime] = None
detail: Optional[str] = None
@dataclass(frozen=True)
class AccountUsageSnapshot:
provider: str
source: str
fetched_at: datetime
title: str = "Account limits"
plan: Optional[str] = None
windows: tuple[AccountUsageWindow, ...] = ()
details: tuple[str, ...] = ()
unavailable_reason: Optional[str] = None
@property
def available(self) -> bool:
return bool(self.windows or self.details) and not self.unavailable_reason
def _title_case_slug(value: Optional[str]) -> Optional[str]:
cleaned = str(value or "").strip()
if not cleaned:
return None
return cleaned.replace("_", " ").replace("-", " ").title()
def _parse_dt(value: Any) -> Optional[datetime]:
if value in (None, ""):
return None
if isinstance(value, (int, float)):
return datetime.fromtimestamp(float(value), tz=timezone.utc)
if isinstance(value, str):
text = value.strip()
if not text:
return None
if text.endswith("Z"):
text = text[:-1] + "+00:00"
try:
dt = datetime.fromisoformat(text)
return dt if dt.tzinfo else dt.replace(tzinfo=timezone.utc)
except ValueError:
return None
return None
def _format_reset(dt: Optional[datetime]) -> str:
if not dt:
return "unknown"
local_dt = dt.astimezone()
delta = dt - _utc_now()
total_seconds = int(delta.total_seconds())
if total_seconds <= 0:
return f"now ({local_dt.strftime('%Y-%m-%d %H:%M %Z')})"
hours, rem = divmod(total_seconds, 3600)
minutes = rem // 60
if hours >= 24:
days, hours = divmod(hours, 24)
rel = f"in {days}d {hours}h"
elif hours > 0:
rel = f"in {hours}h {minutes}m"
else:
rel = f"in {minutes}m"
return f"{rel} ({local_dt.strftime('%Y-%m-%d %H:%M %Z')})"
def render_account_usage_lines(snapshot: Optional[AccountUsageSnapshot], *, markdown: bool = False) -> list[str]:
if not snapshot:
return []
header = f"📈 {'**' if markdown else ''}{snapshot.title}{'**' if markdown else ''}"
lines = [header]
if snapshot.plan:
lines.append(f"Provider: {snapshot.provider} ({snapshot.plan})")
else:
lines.append(f"Provider: {snapshot.provider}")
for window in snapshot.windows:
if window.used_percent is None:
base = f"{window.label}: unavailable"
else:
remaining = max(0, round(100 - float(window.used_percent)))
used = max(0, round(float(window.used_percent)))
base = f"{window.label}: {remaining}% remaining ({used}% used)"
if window.reset_at:
base += f" • resets {_format_reset(window.reset_at)}"
elif window.detail:
base += f"{window.detail}"
lines.append(base)
for detail in snapshot.details:
lines.append(detail)
if snapshot.unavailable_reason:
lines.append(f"Unavailable: {snapshot.unavailable_reason}")
return lines
def _resolve_codex_usage_url(base_url: str) -> str:
normalized = (base_url or "").strip().rstrip("/")
if not normalized:
normalized = "https://chatgpt.com/backend-api/codex"
if normalized.endswith("/codex"):
normalized = normalized[: -len("/codex")]
if "/backend-api" in normalized:
return normalized + "/wham/usage"
return normalized + "/api/codex/usage"
def _fetch_codex_account_usage() -> Optional[AccountUsageSnapshot]:
creds = resolve_codex_runtime_credentials(refresh_if_expiring=True)
token_data = _read_codex_tokens()
tokens = token_data.get("tokens") or {}
account_id = str(tokens.get("account_id", "") or "").strip() or None
headers = {
"Authorization": f"Bearer {creds['api_key']}",
"Accept": "application/json",
"User-Agent": "codex-cli",
}
if account_id:
headers["ChatGPT-Account-Id"] = account_id
with httpx.Client(timeout=15.0) as client:
response = client.get(_resolve_codex_usage_url(creds.get("base_url", "")), headers=headers)
response.raise_for_status()
payload = response.json() or {}
rate_limit = payload.get("rate_limit") or {}
windows: list[AccountUsageWindow] = []
for key, label in (("primary_window", "Session"), ("secondary_window", "Weekly")):
window = rate_limit.get(key) or {}
used = window.get("used_percent")
if used is None:
continue
windows.append(
AccountUsageWindow(
label=label,
used_percent=float(used),
reset_at=_parse_dt(window.get("reset_at")),
)
)
details: list[str] = []
credits = payload.get("credits") or {}
if credits.get("has_credits"):
balance = credits.get("balance")
if isinstance(balance, (int, float)):
details.append(f"Credits balance: ${float(balance):.2f}")
elif credits.get("unlimited"):
details.append("Credits balance: unlimited")
return AccountUsageSnapshot(
provider="openai-codex",
source="usage_api",
fetched_at=_utc_now(),
plan=_title_case_slug(payload.get("plan_type")),
windows=tuple(windows),
details=tuple(details),
)
def _fetch_anthropic_account_usage() -> Optional[AccountUsageSnapshot]:
token = (resolve_anthropic_token() or "").strip()
if not token:
return None
if not _is_oauth_token(token):
return AccountUsageSnapshot(
provider="anthropic",
source="oauth_usage_api",
fetched_at=_utc_now(),
unavailable_reason="Anthropic account limits are only available for OAuth-backed Claude accounts.",
)
headers = {
"Authorization": f"Bearer {token}",
"Accept": "application/json",
"Content-Type": "application/json",
"anthropic-beta": "oauth-2025-04-20",
"User-Agent": "claude-code/2.1.0",
}
with httpx.Client(timeout=15.0) as client:
response = client.get("https://api.anthropic.com/api/oauth/usage", headers=headers)
response.raise_for_status()
payload = response.json() or {}
windows: list[AccountUsageWindow] = []
mapping = (
("five_hour", "Current session"),
("seven_day", "Current week"),
("seven_day_opus", "Opus week"),
("seven_day_sonnet", "Sonnet week"),
)
for key, label in mapping:
window = payload.get(key) or {}
util = window.get("utilization")
if util is None:
continue
used = float(util) * 100 if float(util) <= 1 else float(util)
windows.append(
AccountUsageWindow(
label=label,
used_percent=used,
reset_at=_parse_dt(window.get("resets_at")),
)
)
details: list[str] = []
extra = payload.get("extra_usage") or {}
if extra.get("is_enabled"):
used_credits = extra.get("used_credits")
monthly_limit = extra.get("monthly_limit")
currency = extra.get("currency") or "USD"
if isinstance(used_credits, (int, float)) and isinstance(monthly_limit, (int, float)):
details.append(
f"Extra usage: {used_credits:.2f} / {monthly_limit:.2f} {currency}"
)
return AccountUsageSnapshot(
provider="anthropic",
source="oauth_usage_api",
fetched_at=_utc_now(),
windows=tuple(windows),
details=tuple(details),
)
def _fetch_openrouter_account_usage(base_url: Optional[str], api_key: Optional[str]) -> Optional[AccountUsageSnapshot]:
runtime = resolve_runtime_provider(
requested="openrouter",
explicit_base_url=base_url,
explicit_api_key=api_key,
)
token = str(runtime.get("api_key", "") or "").strip()
if not token:
return None
normalized = str(runtime.get("base_url", "") or "").rstrip("/")
credits_url = f"{normalized}/credits"
key_url = f"{normalized}/key"
headers = {
"Authorization": f"Bearer {token}",
"Accept": "application/json",
}
with httpx.Client(timeout=10.0) as client:
credits_resp = client.get(credits_url, headers=headers)
credits_resp.raise_for_status()
credits = (credits_resp.json() or {}).get("data") or {}
try:
key_resp = client.get(key_url, headers=headers)
key_resp.raise_for_status()
key_data = (key_resp.json() or {}).get("data") or {}
except Exception:
key_data = {}
total_credits = float(credits.get("total_credits") or 0.0)
total_usage = float(credits.get("total_usage") or 0.0)
details = [f"Credits balance: ${max(0.0, total_credits - total_usage):.2f}"]
windows: list[AccountUsageWindow] = []
limit = key_data.get("limit")
limit_remaining = key_data.get("limit_remaining")
limit_reset = str(key_data.get("limit_reset") or "").strip()
usage = key_data.get("usage")
if (
isinstance(limit, (int, float))
and float(limit) > 0
and isinstance(limit_remaining, (int, float))
and 0 <= float(limit_remaining) <= float(limit)
):
limit_value = float(limit)
remaining_value = float(limit_remaining)
used_percent = ((limit_value - remaining_value) / limit_value) * 100
detail_parts = [f"${remaining_value:.2f} of ${limit_value:.2f} remaining"]
if limit_reset:
detail_parts.append(f"resets {limit_reset}")
windows.append(
AccountUsageWindow(
label="API key quota",
used_percent=used_percent,
detail="".join(detail_parts),
)
)
if isinstance(usage, (int, float)):
usage_parts = [f"API key usage: ${float(usage):.2f} total"]
for value, label in (
(key_data.get("usage_daily"), "today"),
(key_data.get("usage_weekly"), "this week"),
(key_data.get("usage_monthly"), "this month"),
):
if isinstance(value, (int, float)) and float(value) > 0:
usage_parts.append(f"${float(value):.2f} {label}")
details.append("".join(usage_parts))
return AccountUsageSnapshot(
provider="openrouter",
source="credits_api",
fetched_at=_utc_now(),
windows=tuple(windows),
details=tuple(details),
)
def fetch_account_usage(
provider: Optional[str],
*,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
) -> Optional[AccountUsageSnapshot]:
normalized = str(provider or "").strip().lower()
if normalized in {"", "auto", "custom"}:
return None
try:
if normalized == "openai-codex":
return _fetch_codex_account_usage()
if normalized == "anthropic":
return _fetch_anthropic_account_usage()
if normalized == "openrouter":
return _fetch_openrouter_account_usage(base_url, api_key)
except Exception:
return None
return None
+4 -122
View File
@@ -19,7 +19,6 @@ from pathlib import Path
from hermes_constants import get_hermes_home
from types import SimpleNamespace
from typing import Any, Dict, List, Optional, Tuple
from utils import normalize_proxy_env_vars
try:
import anthropic as _anthropic_sdk
@@ -266,14 +265,6 @@ def _is_third_party_anthropic_endpoint(base_url: str | None) -> bool:
return True # Any other endpoint is a third-party proxy
def _is_kimi_coding_endpoint(base_url: str | None) -> bool:
"""Return True for Kimi's /coding endpoint that requires claude-code UA."""
normalized = _normalize_base_url_text(base_url)
if not normalized:
return False
return normalized.rstrip("/").lower().startswith("https://api.kimi.com/coding")
def _requires_bearer_auth(base_url: str | None) -> bool:
"""Return True for Anthropic-compatible providers that require Bearer auth.
@@ -317,9 +308,6 @@ def build_anthropic_client(api_key: str, base_url: str = None, timeout: float =
"The 'anthropic' package is required for the Anthropic provider. "
"Install it with: pip install 'anthropic>=0.39.0'"
)
normalize_proxy_env_vars()
from httpx import Timeout
normalized_base_url = _normalize_base_url_text(base_url)
@@ -331,18 +319,9 @@ def build_anthropic_client(api_key: str, base_url: str = None, timeout: float =
kwargs["base_url"] = normalized_base_url
common_betas = _common_betas_for_base_url(normalized_base_url)
if _is_kimi_coding_endpoint(base_url):
# Kimi's /coding endpoint requires User-Agent: claude-code/0.1.0
# to be recognized as a valid Coding Agent. Without it, returns 403.
# Check this BEFORE _requires_bearer_auth since both match api.kimi.com/coding.
kwargs["api_key"] = api_key
kwargs["default_headers"] = {
"User-Agent": "claude-code/0.1.0",
**( {"anthropic-beta": ",".join(common_betas)} if common_betas else {} )
}
elif _requires_bearer_auth(normalized_base_url):
if _requires_bearer_auth(normalized_base_url):
# Some Anthropic-compatible providers (e.g. MiniMax) expect the API key in
# Authorization: Bearer *** for regular API keys. Route those endpoints
# Authorization: Bearer even for regular API keys. Route those endpoints
# through auth_token so the SDK sends Bearer auth instead of x-api-key.
# Check this before OAuth token shape detection because MiniMax secrets do
# not use Anthropic's sk-ant-api prefix and would otherwise be misread as
@@ -1083,31 +1062,6 @@ def convert_messages_to_anthropic(
"name": fn.get("name", ""),
"input": parsed_args,
})
# Kimi's /coding endpoint (Anthropic protocol) requires assistant
# tool-call messages to carry reasoning_content when thinking is
# enabled server-side. Preserve it as a thinking block so Kimi
# can validate the message history. See hermes-agent#13848.
#
# Accept empty string "" — _copy_reasoning_content_for_api()
# injects "" as a tier-3 fallback for Kimi tool-call messages
# that had no reasoning. Kimi requires the field to exist, even
# if empty.
#
# Prepend (not append): Anthropic protocol requires thinking
# blocks before text and tool_use blocks.
#
# Guard: only add when reasoning_details didn't already contribute
# thinking blocks. On native Anthropic, reasoning_details produces
# signed thinking blocks — adding another unsigned one from
# reasoning_content would create a duplicate (same text) that gets
# downgraded to a spurious text block on the last assistant message.
reasoning_content = m.get("reasoning_content")
_already_has_thinking = any(
isinstance(b, dict) and b.get("type") in ("thinking", "redacted_thinking")
for b in blocks
)
if isinstance(reasoning_content, str) and not _already_has_thinking:
blocks.insert(0, {"type": "thinking", "thinking": reasoning_content})
# Anthropic rejects empty assistant content
effective = blocks or content
if not effective or effective == "":
@@ -1263,7 +1217,6 @@ def convert_messages_to_anthropic(
# cache markers can interfere with signature validation.
_THINKING_TYPES = frozenset(("thinking", "redacted_thinking"))
_is_third_party = _is_third_party_anthropic_endpoint(base_url)
_is_kimi = _is_kimi_coding_endpoint(base_url)
last_assistant_idx = None
for i in range(len(result) - 1, -1, -1):
@@ -1275,25 +1228,7 @@ def convert_messages_to_anthropic(
if m.get("role") != "assistant" or not isinstance(m.get("content"), list):
continue
if _is_kimi:
# Kimi's /coding endpoint enables thinking server-side and
# requires unsigned thinking blocks on replayed assistant
# tool-call messages. Strip signed Anthropic blocks (Kimi
# can't validate signatures) but preserve the unsigned ones
# we synthesised from reasoning_content above.
new_content = []
for b in m["content"]:
if not isinstance(b, dict) or b.get("type") not in _THINKING_TYPES:
new_content.append(b)
continue
if b.get("signature") or b.get("data"):
# Anthropic-signed block — Kimi can't validate, strip
continue
# Unsigned thinking (synthesised from reasoning_content) —
# keep it: Kimi needs it for message-history validation.
new_content.append(b)
m["content"] = new_content or [{"type": "text", "text": "(empty)"}]
elif _is_third_party or idx != last_assistant_idx:
if _is_third_party or idx != last_assistant_idx:
# Third-party endpoint: strip ALL thinking blocks from every
# assistant message — signatures are Anthropic-proprietary.
# Direct Anthropic: strip from non-latest assistant messages only.
@@ -1470,25 +1405,11 @@ def build_anthropic_kwargs(
# MiniMax Anthropic-compat endpoints support thinking (manual mode only,
# not adaptive). Haiku does NOT support extended thinking — skip entirely.
#
# Kimi's /coding endpoint speaks the Anthropic Messages protocol but has
# its own thinking semantics: when ``thinking.enabled`` is sent, Kimi
# validates the message history and requires every prior assistant
# tool-call message to carry OpenAI-style ``reasoning_content``. The
# Anthropic path never populates that field, and
# ``convert_messages_to_anthropic`` strips all Anthropic thinking blocks
# on third-party endpoints — so the request fails with HTTP 400
# "thinking is enabled but reasoning_content is missing in assistant
# tool call message at index N". Kimi's reasoning is driven server-side
# on the /coding route, so skip Anthropic's thinking parameter entirely
# for that host. (Kimi on chat_completions enables thinking via
# extra_body in the ChatCompletionsTransport — see #13503.)
#
# On 4.7+ the `thinking.display` field defaults to "omitted", which
# silently hides reasoning text that Hermes surfaces in its CLI. We
# request "summarized" so the reasoning blocks stay populated — matching
# 4.6 behavior and preserving the activity-feed UX during long tool runs.
_is_kimi_coding = _is_kimi_coding_endpoint(base_url)
if reasoning_config and isinstance(reasoning_config, dict) and not _is_kimi_coding:
if reasoning_config and isinstance(reasoning_config, dict):
if reasoning_config.get("enabled") is not False and "haiku" not in model.lower():
effort = str(reasoning_config.get("effort", "medium")).lower()
budget = THINKING_BUDGET.get(effort, 8000)
@@ -1604,42 +1525,3 @@ def normalize_anthropic_response(
),
finish_reason,
)
def normalize_anthropic_response_v2(
response,
strip_tool_prefix: bool = False,
) -> "NormalizedResponse":
"""Normalize Anthropic response to NormalizedResponse.
Wraps the existing normalize_anthropic_response() and maps its output
to the shared transport types. This allows incremental migration —
one call site at a time — without changing the original function.
"""
from agent.transports.types import NormalizedResponse, build_tool_call
assistant_msg, finish_reason = normalize_anthropic_response(response, strip_tool_prefix)
tool_calls = None
if assistant_msg.tool_calls:
tool_calls = [
build_tool_call(
id=tc.id,
name=tc.function.name,
arguments=tc.function.arguments,
)
for tc in assistant_msg.tool_calls
]
provider_data = {}
if getattr(assistant_msg, "reasoning_details", None):
provider_data["reasoning_details"] = assistant_msg.reasoning_details
return NormalizedResponse(
content=assistant_msg.content,
tool_calls=tool_calls,
finish_reason=finish_reason,
reasoning=getattr(assistant_msg, "reasoning", None),
usage=None, # Anthropic usage is on the raw response, not the normaliser
provider_data=provider_data or None,
)
+126 -287
View File
@@ -48,7 +48,6 @@ from openai import OpenAI
from agent.credential_pool import load_pool
from hermes_cli.config import get_hermes_home
from hermes_constants import OPENROUTER_BASE_URL
from utils import base_url_host_matches, base_url_hostname, normalize_proxy_env_vars
logger = logging.getLogger(__name__)
@@ -96,37 +95,84 @@ def _normalize_aux_provider(provider: Optional[str]) -> str:
return _PROVIDER_ALIASES.get(normalized, normalized)
# Sentinel: when returned by _fixed_temperature_for_model(), callers must
# strip the ``temperature`` key from API kwargs entirely so the provider's
# server-side default applies. Kimi/Moonshot models manage temperature
# internally — sending *any* value (even the "correct" one) can conflict
# with gateway-side mode selection (thinking → 1.0, non-thinking → 0.6).
OMIT_TEMPERATURE: object = object()
_FIXED_TEMPERATURE_MODELS: Dict[str, float] = {
"kimi-for-coding": 0.6,
}
# Moonshot's kimi-for-coding endpoint (api.kimi.com/coding) documents:
# "k2.5 model will use a fixed value 1.0, non-thinking mode will use a fixed
# value 0.6. Any other value will result in an error." The same lock applies
# to the other k2.* models served on that endpoint. Enumerated explicitly so
# non-coding siblings like `kimi-k2-instruct` (variable temperature, served on
# the standard chat API and third parties) are NOT clamped.
# Source: https://platform.kimi.ai/docs/guide/kimi-k2-5-quickstart
_KIMI_INSTANT_MODELS: frozenset = frozenset({
"kimi-k2.5",
"kimi-k2-turbo-preview",
"kimi-k2-0905-preview",
})
_KIMI_THINKING_MODELS: frozenset = frozenset({
"kimi-k2-thinking",
"kimi-k2-thinking-turbo",
})
def _is_kimi_model(model: Optional[str]) -> bool:
"""True for any Kimi / Moonshot model that manages temperature server-side."""
bare = (model or "").strip().lower().rsplit("/", 1)[-1]
return bare.startswith("kimi-") or bare == "kimi"
# Moonshot's public chat endpoint (api.moonshot.ai/v1) enforces a different
# temperature contract than the Coding Plan endpoint above. Empirically,
# `kimi-k2.5` on the public API rejects 0.6 with HTTP 400
# "invalid temperature: only 1 is allowed for this model" — the Coding Plan
# lock (0.6 for non-thinking) does not apply. `kimi-k2-turbo-preview` and the
# thinking variants already match the Coding Plan contract on the public
# endpoint, so we only override the models that diverge.
# Users hit this endpoint when `KIMI_API_KEY` is a legacy `sk-*` key (the
# `sk-kimi-*` prefix routes to api.kimi.com/coding/v1 instead — see
# hermes_cli/auth.py:_kimi_base_url_for_key).
_KIMI_PUBLIC_API_OVERRIDES: Dict[str, float] = {
"kimi-k2.5": 1.0,
}
def _fixed_temperature_for_model(
model: Optional[str],
base_url: Optional[str] = None,
) -> "Optional[float] | object":
"""Return a temperature directive for models with strict contracts.
) -> Optional[float]:
"""Return a required temperature override for models with strict contracts.
Returns:
``OMIT_TEMPERATURE`` — caller must remove the ``temperature`` key so the
provider chooses its own default. Used for all Kimi / Moonshot
models whose gateway selects temperature server-side.
``float`` — a specific value the caller must use (reserved for future
models with fixed-temperature contracts).
``None`` — no override; caller should use its own default.
Moonshot's kimi-for-coding endpoint rejects any non-approved temperature on
the k2.5 family. Non-thinking variants require exactly 0.6; thinking
variants require 1.0. An optional ``vendor/`` prefix (e.g.
``moonshotai/kimi-k2.5``) is tolerated for aggregator routings.
When ``base_url`` points to Moonshot's public chat endpoint
(``api.moonshot.ai``), the contract changes for ``kimi-k2.5``: the public
API only accepts ``temperature=1``, not 0.6. That override takes precedence
over the Coding Plan defaults above.
Returns ``None`` for every other model, including ``kimi-k2-instruct*``
which is the separate non-coding K2 family with variable temperature.
"""
if _is_kimi_model(model):
logger.debug("Omitting temperature for Kimi model %r (server-managed)", model)
return OMIT_TEMPERATURE
normalized = (model or "").strip().lower()
bare = normalized.rsplit("/", 1)[-1]
# Public Moonshot API has a stricter contract for some models than the
# Coding Plan endpoint — check it first so it wins on conflict.
if base_url and ("api.moonshot.ai" in base_url.lower() or "api.moonshot.cn" in base_url.lower()):
public = _KIMI_PUBLIC_API_OVERRIDES.get(bare)
if public is not None:
logger.debug(
"Forcing temperature=%s for %r on public Moonshot API", public, model
)
return public
fixed = _FIXED_TEMPERATURE_MODELS.get(normalized)
if fixed is not None:
logger.debug("Forcing temperature=%s for model %r (fixed map)", fixed, model)
return fixed
if bare in _KIMI_THINKING_MODELS:
logger.debug("Forcing temperature=1.0 for kimi thinking model %r", model)
return 1.0
if bare in _KIMI_INSTANT_MODELS:
logger.debug("Forcing temperature=0.6 for kimi instant model %r", model)
return 0.6
return None
# Default auxiliary models for direct API-key providers (cheap/fast for side tasks)
@@ -134,7 +180,6 @@ _API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
"gemini": "gemini-3-flash-preview",
"zai": "glm-4.5-flash",
"kimi-coding": "kimi-k2-turbo-preview",
"stepfun": "step-3.5-flash",
"kimi-coding-cn": "kimi-k2-turbo-preview",
"minimax": "MiniMax-M2.7",
"minimax-cn": "MiniMax-M2.7",
@@ -162,16 +207,6 @@ _OR_HEADERS = {
"X-OpenRouter-Categories": "productivity,cli-agent",
}
# Vercel AI Gateway app attribution headers. HTTP-Referer maps to
# referrerUrl and X-Title maps to appName in the gateway's analytics.
from hermes_cli import __version__ as _HERMES_VERSION
_AI_GATEWAY_HEADERS = {
"HTTP-Referer": "https://hermes-agent.nousresearch.com",
"X-Title": "Hermes Agent",
"User-Agent": f"HermesAgent/{_HERMES_VERSION}",
}
# Nous Portal extra_body for product attribution.
# Callers should pass this as extra_body in chat.completions.create()
# when the auxiliary client is backed by Nous Portal.
@@ -183,6 +218,8 @@ auxiliary_is_nous: bool = False
# Default auxiliary models per provider
_OPENROUTER_MODEL = "google/gemini-3-flash-preview"
_NOUS_MODEL = "google/gemini-3-flash-preview"
_NOUS_FREE_TIER_VISION_MODEL = "xiaomi/mimo-v2-omni"
_NOUS_FREE_TIER_AUX_MODEL = "xiaomi/mimo-v2-pro"
_NOUS_DEFAULT_BASE_URL = "https://inference-api.nousresearch.com/v1"
_ANTHROPIC_DEFAULT_BASE_URL = "https://api.anthropic.com"
_AUTH_JSON_PATH = get_hermes_home() / "auth.json"
@@ -727,33 +764,6 @@ def _nous_base_url() -> str:
return os.getenv("NOUS_INFERENCE_BASE_URL", _NOUS_DEFAULT_BASE_URL)
def _resolve_nous_runtime_api(*, force_refresh: bool = False) -> Optional[tuple[str, str]]:
"""Return fresh Nous runtime credentials when available.
This mirrors the main agent's 401 recovery path and keeps auxiliary
clients aligned with the singleton auth store + mint flow instead of
relying only on whatever raw tokens happen to be sitting in auth.json
or the credential pool.
"""
try:
from hermes_cli.auth import resolve_nous_runtime_credentials
creds = resolve_nous_runtime_credentials(
min_key_ttl_seconds=max(60, int(os.getenv("HERMES_NOUS_MIN_KEY_TTL_SECONDS", "1800"))),
timeout_seconds=float(os.getenv("HERMES_NOUS_TIMEOUT_SECONDS", "15")),
force_mint=force_refresh,
)
except Exception as exc:
logger.debug("Auxiliary Nous runtime credential resolution failed: %s", exc)
return None
api_key = str(creds.get("api_key") or "").strip()
base_url = str(creds.get("base_url") or "").strip().rstrip("/")
if not api_key or not base_url:
return None
return api_key, base_url
def _read_codex_access_token() -> Optional[str]:
"""Read a valid, non-expired Codex OAuth access token from Hermes auth store.
@@ -843,9 +853,9 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
if is_native_gemini_base_url(base_url):
return GeminiNativeClient(api_key=api_key, base_url=base_url), model
extra = {}
if base_url_host_matches(base_url, "api.kimi.com"):
extra["default_headers"] = {"User-Agent": "claude-code/0.1.0"}
elif base_url_host_matches(base_url, "api.githubcopilot.com"):
if "api.kimi.com" in base_url.lower():
extra["default_headers"] = {"User-Agent": "KimiCLI/1.30.0"}
elif "api.githubcopilot.com" in base_url.lower():
from hermes_cli.models import copilot_default_headers
extra["default_headers"] = copilot_default_headers()
@@ -869,9 +879,9 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
if is_native_gemini_base_url(base_url):
return GeminiNativeClient(api_key=api_key, base_url=base_url), model
extra = {}
if base_url_host_matches(base_url, "api.kimi.com"):
extra["default_headers"] = {"User-Agent": "claude-code/0.1.0"}
elif base_url_host_matches(base_url, "api.githubcopilot.com"):
if "api.kimi.com" in base_url.lower():
extra["default_headers"] = {"User-Agent": "KimiCLI/1.30.0"}
elif "api.githubcopilot.com" in base_url.lower():
from hermes_cli.models import copilot_default_headers
extra["default_headers"] = copilot_default_headers()
@@ -920,50 +930,29 @@ def _try_nous(vision: bool = False) -> Tuple[Optional[OpenAI], Optional[str]]:
pass
nous = _read_nous_auth()
runtime = _resolve_nous_runtime_api(force_refresh=False)
if runtime is None and not nous:
if not nous:
return None, None
global auxiliary_is_nous
auxiliary_is_nous = True
logger.debug("Auxiliary client: Nous Portal")
# Ask the Portal which model it currently recommends for this task type.
# The /api/nous/recommended-models endpoint is the authoritative source:
# it distinguishes paid vs free tier recommendations, and get_nous_recommended_aux_model
# auto-detects the caller's tier via check_nous_free_tier(). Fall back to
# _NOUS_MODEL (google/gemini-3-flash-preview) when the Portal is unreachable
# or returns a null recommendation for this task type.
model = _NOUS_MODEL
try:
from hermes_cli.models import get_nous_recommended_aux_model
recommended = get_nous_recommended_aux_model(vision=vision)
if recommended:
model = recommended
logger.debug(
"Auxiliary/%s: using Portal-recommended model %s",
"vision" if vision else "text", model,
)
else:
logger.debug(
"Auxiliary/%s: no Portal recommendation, falling back to %s",
"vision" if vision else "text", model,
)
except Exception as exc:
logger.debug(
"Auxiliary/%s: recommended-models lookup failed (%s); "
"falling back to %s",
"vision" if vision else "text", exc, model,
)
if runtime is not None:
api_key, base_url = runtime
if nous.get("source") == "pool":
model = "gemini-3-flash"
else:
api_key = _nous_api_key(nous or {})
base_url = str((nous or {}).get("inference_base_url") or _nous_base_url()).rstrip("/")
model = _NOUS_MODEL
# Free-tier users can't use paid auxiliary models — use the free
# models instead: mimo-v2-omni for vision, mimo-v2-pro for text tasks.
try:
from hermes_cli.models import check_nous_free_tier
if check_nous_free_tier():
model = _NOUS_FREE_TIER_VISION_MODEL if vision else _NOUS_FREE_TIER_AUX_MODEL
logger.debug("Free-tier Nous account — using %s for auxiliary/%s",
model, "vision" if vision else "text")
except Exception:
pass
return (
OpenAI(
api_key=api_key,
base_url=base_url,
api_key=_nous_api_key(nous),
base_url=str(nous.get("inference_base_url") or _nous_base_url()).rstrip("/"),
),
model,
)
@@ -1041,7 +1030,7 @@ def _resolve_custom_runtime() -> Tuple[Optional[str], Optional[str], Optional[st
return None, None, None
custom_base = custom_base.strip().rstrip("/")
if base_url_host_matches(custom_base, "openrouter.ai"):
if "openrouter.ai" in custom_base.lower():
# requested='custom' falls back to OpenRouter when no custom endpoint is
# configured. Treat that as "no custom endpoint" for auxiliary routing.
return None, None, None
@@ -1075,8 +1064,6 @@ def _validate_proxy_env_urls() -> None:
"""
from urllib.parse import urlparse
normalize_proxy_env_vars()
for key in ("HTTPS_PROXY", "HTTP_PROXY", "ALL_PROXY",
"https_proxy", "http_proxy", "all_proxy"):
value = str(os.environ.get(key) or "").strip()
@@ -1307,15 +1294,6 @@ def _is_connection_error(exc: Exception) -> bool:
return False
def _is_auth_error(exc: Exception) -> bool:
"""Detect auth failures that should trigger provider-specific refresh."""
status = getattr(exc, "status_code", None)
if status == 401:
return True
err_lower = str(exc).lower()
return "error code: 401" in err_lower or "authenticationerror" in type(exc).__name__.lower()
def _try_payment_fallback(
failed_provider: str,
task: str = None,
@@ -1491,15 +1469,15 @@ def _to_async_client(sync_client, model: str):
"api_key": sync_client.api_key,
"base_url": str(sync_client.base_url),
}
sync_base_url = str(sync_client.base_url)
if base_url_host_matches(sync_base_url, "openrouter.ai"):
base_lower = str(sync_client.base_url).lower()
if "openrouter" in base_lower:
async_kwargs["default_headers"] = dict(_OR_HEADERS)
elif base_url_host_matches(sync_base_url, "api.githubcopilot.com"):
elif "api.githubcopilot.com" in base_lower:
from hermes_cli.models import copilot_default_headers
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"}
elif "api.kimi.com" in base_lower:
async_kwargs["default_headers"] = {"User-Agent": "KimiCLI/1.30.0"}
return AsyncOpenAI(**async_kwargs), model
@@ -1575,7 +1553,8 @@ def resolve_provider_client(
# Auto-detect: api.openai.com + codex model name pattern
if api_mode and api_mode != "codex_responses":
return False # explicit non-codex mode
if base_url_hostname(base_url_str) == "api.openai.com":
normalized_base = (base_url_str or "").strip().lower()
if "api.openai.com" in normalized_base and "openrouter" not in normalized_base:
model_lower = (model_str or "").lower()
if "codex" in model_lower:
return True
@@ -1623,13 +1602,7 @@ def resolve_provider_client(
# ── Nous Portal (OAuth) ──────────────────────────────────────────
if provider == "nous":
# Detect vision tasks: either explicit model override from
# _PROVIDER_VISION_MODELS, or caller passed a known vision model.
_is_vision = (
model in _PROVIDER_VISION_MODELS.values()
or (model or "").strip().lower() == "mimo-v2-omni"
)
client, default = _try_nous(vision=_is_vision)
client, default = _try_nous()
if client is None:
logger.warning("resolve_provider_client: nous requested "
"but Nous Portal not configured (run: hermes auth)")
@@ -1685,9 +1658,9 @@ def resolve_provider_client(
provider,
)
extra = {}
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"):
if "api.kimi.com" in custom_base.lower():
extra["default_headers"] = {"User-Agent": "KimiCLI/1.30.0"}
elif "api.githubcopilot.com" in custom_base.lower():
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)
@@ -1792,9 +1765,9 @@ def resolve_provider_client(
# Provider-specific headers
headers = {}
if base_url_host_matches(base_url, "api.kimi.com"):
headers["User-Agent"] = "claude-code/0.1.0"
elif base_url_host_matches(base_url, "api.githubcopilot.com"):
if "api.kimi.com" in base_url.lower():
headers["User-Agent"] = "KimiCLI/1.30.0"
elif "api.githubcopilot.com" in base_url.lower():
from hermes_cli.models import copilot_default_headers
headers.update(copilot_default_headers())
@@ -2025,35 +1998,24 @@ def resolve_vision_provider_client(
# _PROVIDER_VISION_MODELS provides per-provider vision model
# overrides when the provider has a dedicated multimodal model
# that differs from the chat model (e.g. xiaomi → mimo-v2-omni,
# zai → glm-5v-turbo). Nous is the exception: it has a dedicated
# strict vision backend with tier-aware defaults, so it must not
# fall through to the user's text chat model here.
# zai → glm-5v-turbo).
# 2. OpenRouter (vision-capable aggregator fallback)
# 3. Nous Portal (vision-capable aggregator fallback)
# 4. Stop
main_provider = _read_main_provider()
main_model = _read_main_model()
if main_provider and main_provider not in ("auto", ""):
if main_provider == "nous":
sync_client, default_model = _resolve_strict_vision_backend(main_provider)
if sync_client is not None:
logger.info(
"Vision auto-detect: using main provider %s (%s)",
main_provider, default_model or resolved_model or main_model,
)
return _finalize(main_provider, sync_client, default_model)
else:
vision_model = _PROVIDER_VISION_MODELS.get(main_provider, main_model)
rpc_client, rpc_model = resolve_provider_client(
main_provider, vision_model,
api_mode=resolved_api_mode)
if rpc_client is not None:
logger.info(
"Vision auto-detect: using main provider %s (%s)",
main_provider, rpc_model or vision_model,
)
return _finalize(
main_provider, rpc_client, rpc_model or vision_model)
vision_model = _PROVIDER_VISION_MODELS.get(main_provider, main_model)
rpc_client, rpc_model = resolve_provider_client(
main_provider, vision_model,
api_mode=resolved_api_mode)
if rpc_client is not None:
logger.info(
"Vision auto-detect: using main provider %s (%s)",
main_provider, rpc_model or vision_model,
)
return _finalize(
main_provider, rpc_client, rpc_model or vision_model)
# Fall back through aggregators (uses their dedicated vision model,
# not the user's main model) when main provider has no client.
@@ -2100,7 +2062,7 @@ def auxiliary_max_tokens_param(value: int) -> dict:
# Only use max_completion_tokens for direct OpenAI custom endpoints
if (not or_key
and _read_nous_auth() is None
and base_url_hostname(custom_base) == "api.openai.com"):
and "api.openai.com" in custom_base.lower()):
return {"max_completion_tokens": value}
return {"max_tokens": value}
@@ -2128,76 +2090,6 @@ _client_cache_lock = threading.Lock()
_CLIENT_CACHE_MAX_SIZE = 64 # safety belt — evict oldest when exceeded
def _client_cache_key(
provider: str,
*,
async_mode: bool,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
api_mode: Optional[str] = None,
main_runtime: Optional[Dict[str, Any]] = None,
) -> tuple:
runtime = _normalize_main_runtime(main_runtime)
runtime_key = tuple(runtime.get(field, "") for field in _MAIN_RUNTIME_FIELDS) if provider == "auto" else ()
return (provider, async_mode, base_url or "", api_key or "", api_mode or "", runtime_key)
def _store_cached_client(cache_key: tuple, client: Any, default_model: Optional[str], *, bound_loop: Any = None) -> None:
with _client_cache_lock:
old_entry = _client_cache.get(cache_key)
if old_entry is not None and old_entry[0] is not client:
_force_close_async_httpx(old_entry[0])
try:
close_fn = getattr(old_entry[0], "close", None)
if callable(close_fn):
close_fn()
except Exception:
pass
_client_cache[cache_key] = (client, default_model, bound_loop)
def _refresh_nous_auxiliary_client(
*,
cache_provider: str,
model: Optional[str],
async_mode: bool,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
api_mode: Optional[str] = None,
main_runtime: Optional[Dict[str, Any]] = None,
) -> Tuple[Optional[Any], Optional[str]]:
"""Refresh Nous runtime creds, rebuild the client, and replace the cache entry."""
runtime = _resolve_nous_runtime_api(force_refresh=True)
if runtime is None:
return None, model
fresh_key, fresh_base_url = runtime
sync_client = OpenAI(api_key=fresh_key, base_url=fresh_base_url)
final_model = model
current_loop = None
if async_mode:
try:
import asyncio as _aio
current_loop = _aio.get_event_loop()
except RuntimeError:
pass
client, final_model = _to_async_client(sync_client, final_model or "")
else:
client = sync_client
cache_key = _client_cache_key(
cache_provider,
async_mode=async_mode,
base_url=base_url,
api_key=api_key,
api_mode=api_mode,
main_runtime=main_runtime,
)
_store_cached_client(cache_key, client, final_model, bound_loop=current_loop)
return client, final_model
def neuter_async_httpx_del() -> None:
"""Monkey-patch ``AsyncHttpxClientWrapper.__del__`` to be a no-op.
@@ -2299,7 +2191,7 @@ def cleanup_stale_async_clients() -> None:
def _is_openrouter_client(client: Any) -> bool:
for obj in (client, getattr(client, "_client", None), getattr(client, "client", None)):
if obj and base_url_host_matches(str(getattr(obj, "base_url", "") or ""), "openrouter.ai"):
if obj and "openrouter" in str(getattr(obj, "base_url", "") or "").lower():
return True
return False
@@ -2351,14 +2243,8 @@ def _get_cached_client(
except RuntimeError:
pass
runtime = _normalize_main_runtime(main_runtime)
cache_key = _client_cache_key(
provider,
async_mode=async_mode,
base_url=base_url,
api_key=api_key,
api_mode=api_mode,
main_runtime=main_runtime,
)
runtime_key = tuple(runtime.get(field, "") for field in _MAIN_RUNTIME_FIELDS) if provider == "auto" else ()
cache_key = (provider, async_mode, base_url or "", api_key or "", api_mode or "", runtime_key)
with _client_cache_lock:
if cache_key in _client_cache:
cached_client, cached_default, cached_loop = _client_cache[cache_key]
@@ -2589,9 +2475,7 @@ def _build_call_kwargs(
}
fixed_temperature = _fixed_temperature_for_model(model, base_url)
if fixed_temperature is OMIT_TEMPERATURE:
temperature = None # strip — let server choose
elif fixed_temperature is not None:
if fixed_temperature is not None:
temperature = fixed_temperature
# Opus 4.7+ rejects any non-default temperature/top_p/top_k — silently
@@ -2611,7 +2495,7 @@ def _build_call_kwargs(
# Direct OpenAI api.openai.com with newer models needs max_completion_tokens.
if provider == "custom":
custom_base = base_url or _current_custom_base_url()
if base_url_hostname(custom_base) == "api.openai.com":
if "api.openai.com" in custom_base.lower():
kwargs["max_completion_tokens"] = max_tokens
else:
kwargs["max_tokens"] = max_tokens
@@ -2806,29 +2690,6 @@ def call_llm(
raise
first_err = retry_err
# ── Nous auth refresh parity with main agent ──────────────────
client_is_nous = (
resolved_provider == "nous"
or base_url_host_matches(_base_info, "inference-api.nousresearch.com")
)
if _is_auth_error(first_err) and client_is_nous:
refreshed_client, refreshed_model = _refresh_nous_auxiliary_client(
cache_provider=resolved_provider or "nous",
model=final_model,
async_mode=False,
base_url=resolved_base_url,
api_key=resolved_api_key,
api_mode=resolved_api_mode,
main_runtime=main_runtime,
)
if refreshed_client is not None:
logger.info("Auxiliary %s: refreshed Nous runtime credentials after 401, retrying",
task or "call")
if refreshed_model and refreshed_model != kwargs.get("model"):
kwargs["model"] = refreshed_model
return _validate_llm_response(
refreshed_client.chat.completions.create(**kwargs), task)
# ── Payment / credit exhaustion fallback ──────────────────────
# When the resolved provider returns 402 or a credit-related error,
# try alternative providers instead of giving up. This handles the
@@ -3027,28 +2888,6 @@ async def async_call_llm(
raise
first_err = retry_err
# ── Nous auth refresh parity with main agent ──────────────────
client_is_nous = (
resolved_provider == "nous"
or base_url_host_matches(_client_base, "inference-api.nousresearch.com")
)
if _is_auth_error(first_err) and client_is_nous:
refreshed_client, refreshed_model = _refresh_nous_auxiliary_client(
cache_provider=resolved_provider or "nous",
model=final_model,
async_mode=True,
base_url=resolved_base_url,
api_key=resolved_api_key,
api_mode=resolved_api_mode,
)
if refreshed_client is not None:
logger.info("Auxiliary %s (async): refreshed Nous runtime credentials after 401, retrying",
task or "call")
if refreshed_model and refreshed_model != kwargs.get("model"):
kwargs["model"] = refreshed_model
return _validate_llm_response(
await refreshed_client.chat.completions.create(**kwargs), task)
# ── Payment / connection fallback (mirrors sync call_llm) ─────
should_fallback = _is_payment_error(first_err) or _is_connection_error(first_err)
is_auto = resolved_provider in ("auto", "", None)
+8 -171
View File
@@ -22,98 +22,6 @@ from agent.prompt_builder import DEFAULT_AGENT_IDENTITY
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Multimodal content helpers
# ---------------------------------------------------------------------------
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"|"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.
"""
if not isinstance(content, list):
return []
converted: List[Dict[str, Any]] = []
for part in content:
if isinstance(part, str):
if part:
converted.append({"type": "input_text", "text": part})
continue
if not isinstance(part, dict):
continue
ptype = str(part.get("type") or "").strip().lower()
if ptype in {"text", "input_text", "output_text"}:
text = part.get("text")
if isinstance(text, str) and text:
converted.append({"type": "input_text", "text": text})
continue
if ptype in {"image_url", "input_image"}:
image_ref = part.get("image_url")
detail = part.get("detail")
if isinstance(image_ref, dict):
url = image_ref.get("url")
detail = image_ref.get("detail", detail)
else:
url = image_ref
if not isinstance(url, str) or not url:
continue
image_part: Dict[str, Any] = {"type": "input_image", "image_url": url}
if isinstance(detail, str) and detail.strip():
image_part["detail"] = detail.strip()
converted.append(image_part)
return converted
def _summarize_user_message_for_log(content: Any) -> str:
"""Return a short text summary of a user message for logging/trajectory.
Multimodal messages arrive as a list of ``{type:"text"|"image_url", ...}``
parts from the API server. Logging, spinner previews, and trajectory
files all want a plain string — this helper extracts the first chunk of
text and notes any attached images. Returns an empty string for empty
lists and ``str(content)`` for unexpected scalar types.
"""
if content is None:
return ""
if isinstance(content, str):
return content
if isinstance(content, list):
text_bits: List[str] = []
image_count = 0
for part in content:
if isinstance(part, str):
if part:
text_bits.append(part)
continue
if not isinstance(part, dict):
continue
ptype = str(part.get("type") or "").strip().lower()
if ptype in {"text", "input_text", "output_text"}:
text = part.get("text")
if isinstance(text, str) and text:
text_bits.append(text)
elif ptype in {"image_url", "input_image"}:
image_count += 1
summary = " ".join(text_bits).strip()
if image_count:
note = f"[{image_count} image{'s' if image_count != 1 else ''}]"
summary = f"{note} {summary}" if summary else note
return summary
try:
return str(content)
except Exception:
return ""
# ---------------------------------------------------------------------------
# ID helpers
# ---------------------------------------------------------------------------
def _deterministic_call_id(fn_name: str, arguments: str, index: int = 0) -> str:
"""Generate a deterministic call_id from tool call content.
@@ -172,17 +80,14 @@ def _derive_responses_function_call_id(
return f"fc_{digest}"
# ---------------------------------------------------------------------------
# Schema conversion
# ---------------------------------------------------------------------------
def _responses_tools(tools: Optional[List[Dict[str, Any]]] = None) -> Optional[List[Dict[str, Any]]]:
"""Convert chat-completions tool schemas to Responses function-tool schemas."""
if not tools:
source_tools = tools
if not source_tools:
return None
converted: List[Dict[str, Any]] = []
for item in tools:
for item in source_tools:
fn = item.get("function", {}) if isinstance(item, dict) else {}
name = fn.get("name")
if not isinstance(name, str) or not name.strip():
@@ -197,10 +102,6 @@ def _responses_tools(tools: Optional[List[Dict[str, Any]]] = None) -> Optional[L
return converted or None
# ---------------------------------------------------------------------------
# Message format conversion
# ---------------------------------------------------------------------------
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]] = []
@@ -215,14 +116,7 @@ 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)
content_text = "".join(
p.get("text", "") for p in content_parts if p.get("type") == "input_text"
)
else:
content_parts = []
content_text = str(content) if content is not None else ""
content_text = str(content) if content is not None else ""
if role == "assistant":
# Replay encrypted reasoning items from previous turns
@@ -245,9 +139,7 @@ def _chat_messages_to_responses_input(messages: List[Dict[str, Any]]) -> List[Di
seen_item_ids.add(item_id)
has_codex_reasoning = True
if content_parts:
items.append({"role": "assistant", "content": content_parts})
elif content_text.strip():
if content_text.strip():
items.append({"role": "assistant", "content": content_text})
elif has_codex_reasoning:
# The Responses API requires a following item after each
@@ -300,12 +192,7 @@ def _chat_messages_to_responses_input(messages: List[Dict[str, Any]]) -> List[Di
})
continue
# Non-assistant (user) role: emit multimodal parts when present,
# otherwise fall back to the text payload.
if content_parts:
items.append({"role": role, "content": content_parts})
else:
items.append({"role": role, "content": content_text})
items.append({"role": role, "content": content_text})
continue
if role == "tool":
@@ -325,10 +212,6 @@ def _chat_messages_to_responses_input(messages: List[Dict[str, Any]]) -> List[Di
return items
# ---------------------------------------------------------------------------
# Input preflight / validation
# ---------------------------------------------------------------------------
def _preflight_codex_input_items(raw_items: Any) -> List[Dict[str, Any]]:
if not isinstance(raw_items, list):
raise ValueError("Codex Responses input must be a list of input items.")
@@ -410,46 +293,6 @@ def _preflight_codex_input_items(raw_items: Any) -> List[Dict[str, Any]]:
content = item.get("content", "")
if content is None:
content = ""
if isinstance(content, list):
# Multimodal content from ``_chat_messages_to_responses_input``
# 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": "input_text", "text": part})
continue
if not isinstance(part, dict):
raise ValueError(
f"Codex Responses input[{idx}].content[{part_idx}] must be an object or string."
)
ptype = str(part.get("type") or "").strip().lower()
if ptype in {"input_text", "text", "output_text"}:
text = part.get("text", "")
if not isinstance(text, str):
text = str(text or "")
validated.append({"type": "input_text", "text": text})
elif ptype in {"input_image", "image_url"}:
image_ref = part.get("image_url", "")
detail = part.get("detail")
if isinstance(image_ref, dict):
url = image_ref.get("url", "")
detail = image_ref.get("detail", detail)
else:
url = image_ref
if not isinstance(url, str):
url = str(url or "")
image_part: Dict[str, Any] = {"type": "input_image", "image_url": url}
if isinstance(detail, str) and detail.strip():
image_part["detail"] = detail.strip()
validated.append(image_part)
else:
raise ValueError(
f"Codex Responses input[{idx}].content[{part_idx}] has unsupported type {part.get('type')!r}."
)
normalized.append({"role": role, "content": validated})
continue
if not isinstance(content, str):
content = str(content)
@@ -606,10 +449,6 @@ def _preflight_codex_api_kwargs(
return normalized
# ---------------------------------------------------------------------------
# Response extraction helpers
# ---------------------------------------------------------------------------
def _extract_responses_message_text(item: Any) -> str:
"""Extract assistant text from a Responses message output item."""
content = getattr(item, "content", None)
@@ -644,10 +483,6 @@ def _extract_responses_reasoning_text(item: Any) -> str:
return ""
# ---------------------------------------------------------------------------
# Full response normalization
# ---------------------------------------------------------------------------
def _normalize_codex_response(response: Any) -> tuple[Any, str]:
"""Normalize a Responses API object to an assistant_message-like object."""
output = getattr(response, "output", None)
@@ -811,3 +646,5 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
else:
finish_reason = "stop"
return assistant_message, finish_reason
+7 -18
View File
@@ -31,7 +31,6 @@ from agent.model_metadata import (
get_model_context_length,
estimate_messages_tokens_rough,
)
from agent.redact import redact_sensitive_text
logger = logging.getLogger(__name__)
@@ -551,15 +550,11 @@ class ContextCompressor(ContextEngine):
Includes tool call arguments and result content (up to
``_CONTENT_MAX`` chars per message) so the summarizer can preserve
specific details like file paths, commands, and outputs.
All content is redacted before serialization to prevent secrets
(API keys, tokens, passwords) from leaking into the summary that
gets sent to the auxiliary model and persisted across compactions.
"""
parts = []
for msg in turns:
role = msg.get("role", "unknown")
content = redact_sensitive_text(msg.get("content") or "")
content = msg.get("content") or ""
# Tool results: keep enough content for the summarizer
if role == "tool":
@@ -580,7 +575,7 @@ class ContextCompressor(ContextEngine):
if isinstance(tc, dict):
fn = tc.get("function", {})
name = fn.get("name", "?")
args = redact_sensitive_text(fn.get("arguments", ""))
args = fn.get("arguments", "")
# Truncate long arguments but keep enough for context
if len(args) > self._TOOL_ARGS_MAX:
args = args[:self._TOOL_ARGS_HEAD] + "..."
@@ -640,11 +635,7 @@ class ContextCompressor(ContextEngine):
"only output the structured summary. "
"Do NOT include any preamble, greeting, or prefix. "
"Write the summary in the same language the user was using in the "
"conversation — do not translate or switch to English. "
"NEVER include API keys, tokens, passwords, secrets, credentials, "
"or connection strings in the summary — replace any that appear "
"with [REDACTED]. Note that the user had credentials present, but "
"do not preserve their values."
"conversation — do not translate or switch to English."
)
# Shared structured template (used by both paths).
@@ -701,7 +692,7 @@ Be specific with file paths, commands, line numbers, and results.]
[What remains to be done — framed as context, not instructions]
## Critical Context
[Any specific values, error messages, configuration details, or data that would be lost without explicit preservation. NEVER include API keys, tokens, passwords, or credentials — write [REDACTED] instead.]
[Any specific values, error messages, configuration details, or data that would be lost without explicit preservation]
Target ~{summary_budget} tokens. Be CONCRETE — include file paths, command outputs, error messages, line numbers, and specific values. Avoid vague descriptions like "made some changes" — say exactly what changed.
@@ -741,7 +732,7 @@ Use this exact structure:
prompt += f"""
FOCUS TOPIC: "{focus_topic}"
The user has requested that this compaction PRIORITISE preserving all information related to the focus topic above. For content related to "{focus_topic}", include full detail — exact values, file paths, command outputs, error messages, and decisions. For content NOT related to the focus topic, summarise more aggressively (brief one-liners or omit if truly irrelevant). The focus topic sections should receive roughly 60-70% of the summary token budget. Even for the focus topic, NEVER preserve API keys, tokens, passwords, or credentials — use [REDACTED]."""
The user has requested that this compaction PRIORITISE preserving all information related to the focus topic above. For content related to "{focus_topic}", include full detail — exact values, file paths, command outputs, error messages, and decisions. For content NOT related to the focus topic, summarise more aggressively (brief one-liners or omit if truly irrelevant). The focus topic sections should receive roughly 60-70% of the summary token budget."""
try:
call_kwargs = {
@@ -764,9 +755,7 @@ The user has requested that this compaction PRIORITISE preserving all informatio
# Handle cases where content is not a string (e.g., dict from llama.cpp)
if not isinstance(content, str):
content = str(content) if content else ""
# Redact the summary output as well — the summarizer LLM may
# ignore prompt instructions and echo back secrets verbatim.
summary = redact_sensitive_text(content.strip())
summary = content.strip()
# Store for iterative updates on next compaction
self._previous_summary = summary
self._summary_failure_cooldown_until = 0.0
@@ -807,7 +796,7 @@ The user has requested that this compaction PRIORITISE preserving all informatio
)
self.summary_model = "" # empty = use main model
self._summary_failure_cooldown_until = 0.0 # no cooldown
return self._generate_summary(turns_to_summarize) # retry immediately
return self._generate_summary(messages, summary_budget) # retry immediately
# Transient errors (timeout, rate limit, network) — shorter cooldown
_transient_cooldown = 60
+9 -27
View File
@@ -21,9 +21,6 @@ from pathlib import Path
from types import SimpleNamespace
from typing import Any
from agent.file_safety import get_read_block_error, is_write_denied
from agent.redact import redact_sensitive_text
ACP_MARKER_BASE_URL = "acp://copilot"
_DEFAULT_TIMEOUT_SECONDS = 900.0
@@ -57,18 +54,6 @@ def _jsonrpc_error(message_id: Any, code: int, message: str) -> dict[str, Any]:
}
def _permission_denied(message_id: Any) -> dict[str, Any]:
return {
"jsonrpc": "2.0",
"id": message_id,
"result": {
"outcome": {
"outcome": "cancelled",
}
},
}
def _format_messages_as_prompt(
messages: list[dict[str, Any]],
model: str | None = None,
@@ -401,8 +386,6 @@ class CopilotACPClient:
stderr_tail: deque[str] = deque(maxlen=40)
def _stdout_reader() -> None:
if proc.stdout is None:
return
for line in proc.stdout:
try:
inbox.put(json.loads(line))
@@ -550,13 +533,18 @@ class CopilotACPClient:
params = msg.get("params") or {}
if method == "session/request_permission":
response = _permission_denied(message_id)
response = {
"jsonrpc": "2.0",
"id": message_id,
"result": {
"outcome": {
"outcome": "allow_once",
}
},
}
elif method == "fs/read_text_file":
try:
path = _ensure_path_within_cwd(str(params.get("path") or ""), cwd)
block_error = get_read_block_error(str(path))
if block_error:
raise PermissionError(block_error)
content = path.read_text() if path.exists() else ""
line = params.get("line")
limit = params.get("limit")
@@ -565,8 +553,6 @@ class CopilotACPClient:
start = line - 1
end = start + limit if isinstance(limit, int) and limit > 0 else None
content = "".join(lines[start:end])
if content:
content = redact_sensitive_text(content)
response = {
"jsonrpc": "2.0",
"id": message_id,
@@ -579,10 +565,6 @@ class CopilotACPClient:
elif method == "fs/write_text_file":
try:
path = _ensure_path_within_cwd(str(params.get("path") or ""), cwd)
if is_write_denied(str(path)):
raise PermissionError(
f"Write denied: '{path}' is a protected system/credential file."
)
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(str(params.get("content") or ""))
response = {
+69 -91
View File
@@ -983,14 +983,6 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
active_sources: Set[str] = set()
auth_store = _load_auth_store()
# Shared suppression gate — used at every upsert site so
# `hermes auth remove <provider> <N>` is stable across all source types.
try:
from hermes_cli.auth import is_source_suppressed as _is_suppressed
except ImportError:
def _is_suppressed(_p, _s): # type: ignore[misc]
return False
if provider == "anthropic":
# Only auto-discover external credentials (Claude Code, Hermes PKCE)
# when the user has explicitly configured anthropic as their provider.
@@ -1010,8 +1002,13 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
("claude_code", read_claude_code_credentials()),
):
if creds and creds.get("accessToken"):
if _is_suppressed(provider, source_name):
continue
# Check if user explicitly removed this source
try:
from hermes_cli.auth import is_source_suppressed
if is_source_suppressed(provider, source_name):
continue
except ImportError:
pass
active_sources.add(source_name)
changed |= _upsert_entry(
entries,
@@ -1029,7 +1026,7 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
elif provider == "nous":
state = _load_provider_state(auth_store, "nous")
if state and not _is_suppressed(provider, "device_code"):
if state:
active_sources.add("device_code")
# Prefer a user-supplied label embedded in the singleton state
# (set by persist_nous_credentials(label=...) when the user ran
@@ -1070,21 +1067,20 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
token, source = resolve_copilot_token()
if token:
source_name = "gh_cli" if "gh" in source.lower() else f"env:{source}"
if not _is_suppressed(provider, source_name):
active_sources.add(source_name)
pconfig = PROVIDER_REGISTRY.get(provider)
changed |= _upsert_entry(
entries,
provider,
source_name,
{
"source": source_name,
"auth_type": AUTH_TYPE_API_KEY,
"access_token": token,
"base_url": pconfig.inference_base_url if pconfig else "",
"label": source,
},
)
active_sources.add(source_name)
pconfig = PROVIDER_REGISTRY.get(provider)
changed |= _upsert_entry(
entries,
provider,
source_name,
{
"source": source_name,
"auth_type": AUTH_TYPE_API_KEY,
"access_token": token,
"base_url": pconfig.inference_base_url if pconfig else "",
"label": source,
},
)
except Exception as exc:
logger.debug("Copilot token seed failed: %s", exc)
@@ -1100,21 +1096,20 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
token = creds.get("api_key", "")
if token:
source_name = creds.get("source", "qwen-cli")
if not _is_suppressed(provider, source_name):
active_sources.add(source_name)
changed |= _upsert_entry(
entries,
provider,
source_name,
{
"source": source_name,
"auth_type": AUTH_TYPE_OAUTH,
"access_token": token,
"expires_at_ms": creds.get("expires_at_ms"),
"base_url": creds.get("base_url", ""),
"label": creds.get("auth_file", source_name),
},
)
active_sources.add(source_name)
changed |= _upsert_entry(
entries,
provider,
source_name,
{
"source": source_name,
"auth_type": AUTH_TYPE_OAUTH,
"access_token": token,
"expires_at_ms": creds.get("expires_at_ms"),
"base_url": creds.get("base_url", ""),
"label": creds.get("auth_file", source_name),
},
)
except Exception as exc:
logger.debug("Qwen OAuth token seed failed: %s", exc)
@@ -1123,7 +1118,13 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
# the device_code source as suppressed so it won't be re-seeded from
# the Hermes auth store. Without this gate the removal is instantly
# undone on the next load_pool() call.
if _is_suppressed(provider, "device_code"):
codex_suppressed = False
try:
from hermes_cli.auth import is_source_suppressed
codex_suppressed = is_source_suppressed(provider, "device_code")
except ImportError:
pass
if codex_suppressed:
return changed, active_sources
state = _load_provider_state(auth_store, "openai-codex")
@@ -1157,22 +1158,10 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool, Set[str]]:
changed = False
active_sources: Set[str] = set()
# Honour user suppression — `hermes auth remove <provider> <N>` for an
# env-seeded credential marks the env:<VAR> source as suppressed so it
# won't be re-seeded from the user's shell environment or ~/.hermes/.env.
# Without this gate the removal is silently undone on the next
# load_pool() call whenever the var is still exported by the shell.
try:
from hermes_cli.auth import is_source_suppressed as _is_source_suppressed
except ImportError:
def _is_source_suppressed(_p, _s): # type: ignore[misc]
return False
if provider == "openrouter":
token = os.getenv("OPENROUTER_API_KEY", "").strip()
if token:
source = "env:OPENROUTER_API_KEY"
if _is_source_suppressed(provider, source):
return changed, active_sources
active_sources.add(source)
changed |= _upsert_entry(
entries,
@@ -1209,8 +1198,6 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
if not token:
continue
source = f"env:{env_var}"
if _is_source_suppressed(provider, source):
continue
active_sources.add(source)
auth_type = AUTH_TYPE_OAUTH if provider == "anthropic" and not token.startswith("sk-ant-api") else AUTH_TYPE_API_KEY
base_url = env_url or pconfig.inference_base_url
@@ -1255,13 +1242,6 @@ def _seed_custom_pool(pool_key: str, entries: List[PooledCredential]) -> Tuple[b
changed = False
active_sources: Set[str] = set()
# Shared suppression gate — same pattern as _seed_from_env/_seed_from_singletons.
try:
from hermes_cli.auth import is_source_suppressed as _is_suppressed
except ImportError:
def _is_suppressed(_p, _s): # type: ignore[misc]
return False
# Seed from the custom_providers config entry's api_key field
cp_config = _get_custom_provider_config(pool_key)
if cp_config:
@@ -1270,20 +1250,19 @@ def _seed_custom_pool(pool_key: str, entries: List[PooledCredential]) -> Tuple[b
name = str(cp_config.get("name") or "").strip()
if api_key:
source = f"config:{name}"
if not _is_suppressed(pool_key, source):
active_sources.add(source)
changed |= _upsert_entry(
entries,
pool_key,
source,
{
"source": source,
"auth_type": AUTH_TYPE_API_KEY,
"access_token": api_key,
"base_url": base_url,
"label": name or source,
},
)
active_sources.add(source)
changed |= _upsert_entry(
entries,
pool_key,
source,
{
"source": source,
"auth_type": AUTH_TYPE_API_KEY,
"access_token": api_key,
"base_url": base_url,
"label": name or source,
},
)
# Seed from model.api_key if model.provider=='custom' and model.base_url matches
try:
@@ -1303,20 +1282,19 @@ def _seed_custom_pool(pool_key: str, entries: List[PooledCredential]) -> Tuple[b
matched_key = get_custom_provider_pool_key(model_base_url)
if matched_key == pool_key:
source = "model_config"
if not _is_suppressed(pool_key, source):
active_sources.add(source)
changed |= _upsert_entry(
entries,
pool_key,
source,
{
"source": source,
"auth_type": AUTH_TYPE_API_KEY,
"access_token": model_api_key,
"base_url": model_base_url,
"label": "model_config",
},
)
active_sources.add(source)
changed |= _upsert_entry(
entries,
pool_key,
source,
{
"source": source,
"auth_type": AUTH_TYPE_API_KEY,
"access_token": model_api_key,
"base_url": model_base_url,
"label": "model_config",
},
)
except Exception:
pass
-401
View File
@@ -1,401 +0,0 @@
"""Unified removal contract for every credential source Hermes reads from.
Hermes seeds its credential pool from many places:
env:<VAR> — os.environ / ~/.hermes/.env
claude_code — ~/.claude/.credentials.json
hermes_pkce — ~/.hermes/.anthropic_oauth.json
device_code — auth.json providers.<provider> (nous, openai-codex, ...)
qwen-cli — ~/.qwen/oauth_creds.json
gh_cli — gh auth token
config:<name> — custom_providers config entry
model_config — model.api_key when model.provider == "custom"
manual — user ran `hermes auth add`
Each source has its own reader inside ``agent.credential_pool._seed_from_*``
(which keep their existing shape — we haven't restructured them). What we
unify here is **removal**:
``hermes auth remove <provider> <N>`` must make the pool entry stay gone.
Before this module, every source had an ad-hoc removal branch in
``auth_remove_command``, and several sources had no branch at all — so
``auth remove`` silently reverted on the next ``load_pool()`` call for
qwen-cli, nous device_code (partial), hermes_pkce, copilot gh_cli, and
custom-config sources.
Now every source registers a ``RemovalStep`` that does exactly three things
in the same shape:
1. Clean up whatever externally-readable state the source reads from
(.env line, auth.json block, OAuth file, etc.)
2. Suppress the ``(provider, source_id)`` in auth.json so the
corresponding ``_seed_from_*`` branch skips the upsert on re-load
3. Return ``RemovalResult`` describing what was cleaned and any
diagnostic hints the user should see (shell-exported env vars,
external credential files we deliberately don't delete, etc.)
Adding a new credential source is:
- wire up a reader branch in ``_seed_from_*`` (existing pattern)
- gate that reader behind ``is_source_suppressed(provider, source_id)``
- register a ``RemovalStep`` here
No more per-source if/elif chain in ``auth_remove_command``.
"""
from __future__ import annotations
import os
from dataclasses import dataclass, field
from pathlib import Path
from typing import Callable, List, Optional
@dataclass
class RemovalResult:
"""Outcome of removing a credential source.
Attributes:
cleaned: Short strings describing external state that was actually
mutated (``"Cleared XAI_API_KEY from .env"``,
``"Cleared openai-codex OAuth tokens from auth store"``).
Printed as plain lines to the user.
hints: Diagnostic lines ABOUT state the user may need to clean up
themselves or is deliberately left intact (shell-exported env
var, Claude Code credential file we don't delete, etc.).
Printed as plain lines to the user. Always non-destructive.
suppress: Whether to call ``suppress_credential_source`` after
cleanup so future ``load_pool`` calls skip this source.
Default True — almost every source needs this to stay sticky.
The only legitimate False is ``manual`` entries, which aren't
seeded from anywhere external.
"""
cleaned: List[str] = field(default_factory=list)
hints: List[str] = field(default_factory=list)
suppress: bool = True
@dataclass
class RemovalStep:
"""How to remove one specific credential source cleanly.
Attributes:
provider: Provider pool key (``"xai"``, ``"anthropic"``, ``"nous"``, ...).
Special value ``"*"`` means "matches any provider" — used for
sources like ``manual`` that aren't provider-specific.
source_id: Source identifier as it appears in
``PooledCredential.source``. May be a literal (``"claude_code"``)
or a prefix pattern matched via ``match_fn``.
match_fn: Optional predicate overriding literal ``source_id``
matching. Gets the removed entry's source string. Used for
``env:*`` (any env-seeded key), ``config:*`` (any custom
pool), and ``manual:*`` (any manual-source variant).
remove_fn: ``(provider, removed_entry) -> RemovalResult``. Does the
actual cleanup and returns what happened for the user.
description: One-line human-readable description for docs / tests.
"""
provider: str
source_id: str
remove_fn: Callable[..., RemovalResult]
match_fn: Optional[Callable[[str], bool]] = None
description: str = ""
def matches(self, provider: str, source: str) -> bool:
if self.provider != "*" and self.provider != provider:
return False
if self.match_fn is not None:
return self.match_fn(source)
return source == self.source_id
_REGISTRY: List[RemovalStep] = []
def register(step: RemovalStep) -> RemovalStep:
_REGISTRY.append(step)
return step
def find_removal_step(provider: str, source: str) -> Optional[RemovalStep]:
"""Return the first matching RemovalStep, or None if unregistered.
Unregistered sources fall through to the default remove path in
``auth_remove_command``: the pool entry is already gone (that happens
before dispatch), no external cleanup, no suppression. This is the
correct behaviour for ``manual`` entries — they were only ever stored
in the pool, nothing external to clean up.
"""
for step in _REGISTRY:
if step.matches(provider, source):
return step
return None
# ---------------------------------------------------------------------------
# Individual RemovalStep implementations — one per source.
# ---------------------------------------------------------------------------
# Each remove_fn is intentionally small and single-purpose. Adding a new
# credential source means adding ONE entry here — no other changes to
# auth_remove_command.
def _remove_env_source(provider: str, removed) -> RemovalResult:
"""env:<VAR> — the most common case.
Handles three user situations:
1. Var lives only in ~/.hermes/.env → clear it
2. Var lives only in the user's shell (shell profile, systemd
EnvironmentFile, launchd plist) → hint them where to unset it
3. Var lives in both → clear from .env, hint about shell
"""
from hermes_cli.config import get_env_path, remove_env_value
result = RemovalResult()
env_var = removed.source[len("env:"):]
if not env_var:
return result
# Detect shell vs .env BEFORE remove_env_value pops os.environ.
env_in_process = bool(os.getenv(env_var))
env_in_dotenv = False
try:
env_path = get_env_path()
if env_path.exists():
env_in_dotenv = any(
line.strip().startswith(f"{env_var}=")
for line in env_path.read_text(errors="replace").splitlines()
)
except OSError:
pass
shell_exported = env_in_process and not env_in_dotenv
cleared = remove_env_value(env_var)
if cleared:
result.cleaned.append(f"Cleared {env_var} from .env")
if shell_exported:
result.hints.extend([
f"Note: {env_var} is still set in your shell environment "
f"(not in ~/.hermes/.env).",
" Unset it there (shell profile, systemd EnvironmentFile, "
"launchd plist, etc.) or it will keep being visible to Hermes.",
f" The pool entry is now suppressed — Hermes will ignore "
f"{env_var} until you run `hermes auth add {provider}`.",
])
else:
result.hints.append(
f"Suppressed env:{env_var} — it will not be re-seeded even "
f"if the variable is re-exported later."
)
return result
def _remove_claude_code(provider: str, removed) -> RemovalResult:
"""~/.claude/.credentials.json is owned by Claude Code itself.
We don't delete it — the user's Claude Code install still needs to
work. We just suppress it so Hermes stops reading it.
"""
return RemovalResult(hints=[
"Suppressed claude_code credential — it will not be re-seeded.",
"Note: Claude Code credentials still live in ~/.claude/.credentials.json",
"Run `hermes auth add anthropic` to re-enable if needed.",
])
def _remove_hermes_pkce(provider: str, removed) -> RemovalResult:
"""~/.hermes/.anthropic_oauth.json is ours — delete it outright."""
from hermes_constants import get_hermes_home
result = RemovalResult()
oauth_file = get_hermes_home() / ".anthropic_oauth.json"
if oauth_file.exists():
try:
oauth_file.unlink()
result.cleaned.append("Cleared Hermes Anthropic OAuth credentials")
except OSError as exc:
result.hints.append(f"Could not delete {oauth_file}: {exc}")
return result
def _clear_auth_store_provider(provider: str) -> bool:
"""Delete auth_store.providers[provider]. Returns True if deleted."""
from hermes_cli.auth import (
_auth_store_lock,
_load_auth_store,
_save_auth_store,
)
with _auth_store_lock():
auth_store = _load_auth_store()
providers_dict = auth_store.get("providers")
if isinstance(providers_dict, dict) and provider in providers_dict:
del providers_dict[provider]
_save_auth_store(auth_store)
return True
return False
def _remove_nous_device_code(provider: str, removed) -> RemovalResult:
"""Nous OAuth lives in auth.json providers.nous — clear it and suppress.
We suppress in addition to clearing because nothing else stops the
user's next `hermes login` run from writing providers.nous again
before they decide to. Suppression forces them to go through
`hermes auth add nous` to re-engage, which is the documented re-add
path and clears the suppression atomically.
"""
result = RemovalResult()
if _clear_auth_store_provider(provider):
result.cleaned.append(f"Cleared {provider} OAuth tokens from auth store")
return result
def _remove_codex_device_code(provider: str, removed) -> RemovalResult:
"""Codex tokens live in TWO places: our auth store AND ~/.codex/auth.json.
refresh_codex_oauth_pure() writes both every time, so clearing only
the Hermes auth store is not enough — _seed_from_singletons() would
re-import from ~/.codex/auth.json on the next load_pool() call and
the removal would be instantly undone. We suppress instead of
deleting Codex CLI's file, so the Codex CLI itself keeps working.
The canonical source name in ``_seed_from_singletons`` is
``"device_code"`` (no prefix). Entries may show up in the pool as
either ``"device_code"`` (seeded) or ``"manual:device_code"`` (added
via ``hermes auth add openai-codex``), but in both cases the re-seed
gate lives at the ``"device_code"`` suppression key. We suppress
that canonical key here; the central dispatcher also suppresses
``removed.source`` which is fine — belt-and-suspenders, idempotent.
"""
from hermes_cli.auth import suppress_credential_source
result = RemovalResult()
if _clear_auth_store_provider(provider):
result.cleaned.append(f"Cleared {provider} OAuth tokens from auth store")
# Suppress the canonical re-seed source, not just whatever source the
# removed entry had. Otherwise `manual:device_code` removals wouldn't
# block the `device_code` re-seed path.
suppress_credential_source(provider, "device_code")
result.hints.extend([
"Suppressed openai-codex device_code source — it will not be re-seeded.",
"Note: Codex CLI credentials still live in ~/.codex/auth.json",
"Run `hermes auth add openai-codex` to re-enable if needed.",
])
return result
def _remove_qwen_cli(provider: str, removed) -> RemovalResult:
"""~/.qwen/oauth_creds.json is owned by the Qwen CLI.
Same pattern as claude_code — suppress, don't delete. The user's
Qwen CLI install still reads from that file.
"""
return RemovalResult(hints=[
"Suppressed qwen-cli credential — it will not be re-seeded.",
"Note: Qwen CLI credentials still live in ~/.qwen/oauth_creds.json",
"Run `hermes auth add qwen-oauth` to re-enable if needed.",
])
def _remove_copilot_gh(provider: str, removed) -> RemovalResult:
"""Copilot token comes from `gh auth token` or COPILOT_GITHUB_TOKEN / GH_TOKEN / GITHUB_TOKEN.
Copilot is special: the same token can be seeded as multiple source
entries (gh_cli from ``_seed_from_singletons`` plus env:<VAR> from
``_seed_from_env``), so removing one entry without suppressing the
others lets the duplicates resurrect. We suppress ALL known copilot
sources here so removal is stable regardless of which entry the
user clicked.
We don't touch the user's gh CLI or shell state — just suppress so
Hermes stops picking the token up.
"""
# Suppress ALL copilot source variants up-front so no path resurrects
# the pool entry. The central dispatcher in auth_remove_command will
# ALSO suppress removed.source, but it's idempotent so double-calling
# is harmless.
from hermes_cli.auth import suppress_credential_source
suppress_credential_source(provider, "gh_cli")
for env_var in ("COPILOT_GITHUB_TOKEN", "GH_TOKEN", "GITHUB_TOKEN"):
suppress_credential_source(provider, f"env:{env_var}")
return RemovalResult(hints=[
"Suppressed all copilot token sources (gh_cli + env vars) — they will not be re-seeded.",
"Note: Your gh CLI / shell environment is unchanged.",
"Run `hermes auth add copilot` to re-enable if needed.",
])
def _remove_custom_config(provider: str, removed) -> RemovalResult:
"""Custom provider pools are seeded from custom_providers config or
model.api_key. Both are in config.yaml — modifying that from here
is more invasive than suppression. We suppress; the user can edit
config.yaml if they want to remove the key from disk entirely.
"""
source_label = removed.source
return RemovalResult(hints=[
f"Suppressed {source_label} — it will not be re-seeded.",
"Note: The underlying value in config.yaml is unchanged. Edit it "
"directly if you want to remove the credential from disk.",
])
def _register_all_sources() -> None:
"""Called once on module import.
ORDER MATTERS — ``find_removal_step`` returns the first match. Put
provider-specific steps before the generic ``env:*`` step so that e.g.
copilot's ``env:GH_TOKEN`` goes through the copilot removal (which
doesn't touch the user's shell), not the generic env-var removal
(which would try to clear .env).
"""
register(RemovalStep(
provider="copilot", source_id="gh_cli",
match_fn=lambda src: src == "gh_cli" or src.startswith("env:"),
remove_fn=_remove_copilot_gh,
description="gh auth token / COPILOT_GITHUB_TOKEN / GH_TOKEN",
))
register(RemovalStep(
provider="*", source_id="env:",
match_fn=lambda src: src.startswith("env:"),
remove_fn=_remove_env_source,
description="Any env-seeded credential (XAI_API_KEY, DEEPSEEK_API_KEY, etc.)",
))
register(RemovalStep(
provider="anthropic", source_id="claude_code",
remove_fn=_remove_claude_code,
description="~/.claude/.credentials.json",
))
register(RemovalStep(
provider="anthropic", source_id="hermes_pkce",
remove_fn=_remove_hermes_pkce,
description="~/.hermes/.anthropic_oauth.json",
))
register(RemovalStep(
provider="nous", source_id="device_code",
remove_fn=_remove_nous_device_code,
description="auth.json providers.nous",
))
register(RemovalStep(
provider="openai-codex", source_id="device_code",
match_fn=lambda src: src == "device_code" or src.endswith(":device_code"),
remove_fn=_remove_codex_device_code,
description="auth.json providers.openai-codex + ~/.codex/auth.json",
))
register(RemovalStep(
provider="qwen-oauth", source_id="qwen-cli",
remove_fn=_remove_qwen_cli,
description="~/.qwen/oauth_creds.json",
))
register(RemovalStep(
provider="*", source_id="config:",
match_fn=lambda src: src.startswith("config:") or src == "model_config",
remove_fn=_remove_custom_config,
description="Custom provider config.yaml api_key field",
))
_register_all_sources()
+4 -9
View File
@@ -470,16 +470,11 @@ def _classify_by_status(
retryable=False,
should_fallback=True,
)
# Generic 404 with no "model not found" signal — could be a wrong
# endpoint path (common with local llama.cpp / Ollama / vLLM when
# the URL is slightly misconfigured), a proxy routing glitch, or
# a transient backend issue. Classifying these as model_not_found
# silently falls back to a different provider and tells the model
# the model is missing, which is wrong and wastes a turn. Treat
# as unknown so the retry loop surfaces the real error instead.
# Generic 404 — could be model or endpoint
return result_fn(
FailoverReason.unknown,
retryable=True,
FailoverReason.model_not_found,
retryable=False,
should_fallback=True,
)
if status_code == 413:
-111
View File
@@ -1,111 +0,0 @@
"""Shared file safety rules used by both tools and ACP shims."""
from __future__ import annotations
import os
from pathlib import Path
from typing import Optional
def _hermes_home_path() -> Path:
"""Resolve the active HERMES_HOME (profile-aware) without circular imports."""
try:
from hermes_constants import get_hermes_home # local import to avoid cycles
return get_hermes_home()
except Exception:
return Path(os.path.expanduser("~/.hermes"))
def build_write_denied_paths(home: str) -> set[str]:
"""Return exact sensitive paths that must never be written."""
hermes_home = _hermes_home_path()
return {
os.path.realpath(p)
for p in [
os.path.join(home, ".ssh", "authorized_keys"),
os.path.join(home, ".ssh", "id_rsa"),
os.path.join(home, ".ssh", "id_ed25519"),
os.path.join(home, ".ssh", "config"),
str(hermes_home / ".env"),
os.path.join(home, ".bashrc"),
os.path.join(home, ".zshrc"),
os.path.join(home, ".profile"),
os.path.join(home, ".bash_profile"),
os.path.join(home, ".zprofile"),
os.path.join(home, ".netrc"),
os.path.join(home, ".pgpass"),
os.path.join(home, ".npmrc"),
os.path.join(home, ".pypirc"),
"/etc/sudoers",
"/etc/passwd",
"/etc/shadow",
]
}
def build_write_denied_prefixes(home: str) -> list[str]:
"""Return sensitive directory prefixes that must never be written."""
return [
os.path.realpath(p) + os.sep
for p in [
os.path.join(home, ".ssh"),
os.path.join(home, ".aws"),
os.path.join(home, ".gnupg"),
os.path.join(home, ".kube"),
"/etc/sudoers.d",
"/etc/systemd",
os.path.join(home, ".docker"),
os.path.join(home, ".azure"),
os.path.join(home, ".config", "gh"),
]
]
def get_safe_write_root() -> Optional[str]:
"""Return the resolved HERMES_WRITE_SAFE_ROOT path, or None if unset."""
root = os.getenv("HERMES_WRITE_SAFE_ROOT", "")
if not root:
return None
try:
return os.path.realpath(os.path.expanduser(root))
except Exception:
return None
def is_write_denied(path: str) -> bool:
"""Return True if path is blocked by the write denylist or safe root."""
home = os.path.realpath(os.path.expanduser("~"))
resolved = os.path.realpath(os.path.expanduser(str(path)))
if resolved in build_write_denied_paths(home):
return True
for prefix in build_write_denied_prefixes(home):
if resolved.startswith(prefix):
return True
safe_root = get_safe_write_root()
if safe_root and not (resolved == safe_root or resolved.startswith(safe_root + os.sep)):
return True
return False
def get_read_block_error(path: str) -> Optional[str]:
"""Return an error message when a read targets internal Hermes cache files."""
resolved = Path(path).expanduser().resolve()
hermes_home = _hermes_home_path().resolve()
blocked_dirs = [
hermes_home / "skills" / ".hub" / "index-cache",
hermes_home / "skills" / ".hub",
]
for blocked in blocked_dirs:
try:
resolved.relative_to(blocked)
except ValueError:
continue
return (
f"Access denied: {path} is an internal Hermes cache file "
"and cannot be read directly to prevent prompt injection. "
"Use the skills_list or skill_view tools instead."
)
return None
+1 -2
View File
@@ -799,8 +799,7 @@ def _gemini_http_error(response: httpx.Response) -> CodeAssistError:
err_obj = {}
err_status = str(err_obj.get("status") or "").strip()
err_message = str(err_obj.get("message") or "").strip()
_raw_details = err_obj.get("details")
err_details_list = _raw_details if isinstance(_raw_details, list) else []
err_details_list = err_obj.get("details") if isinstance(err_obj.get("details"), list) else []
# Extract google.rpc.ErrorInfo reason + metadata. There may be more
# than one ErrorInfo (rare), so we pick the first one with a reason.
+1 -2
View File
@@ -613,8 +613,7 @@ def gemini_http_error(response: httpx.Response) -> GeminiAPIError:
err_obj = {}
err_status = str(err_obj.get("status") or "").strip()
err_message = str(err_obj.get("message") or "").strip()
_raw_details = err_obj.get("details")
details_list = _raw_details if isinstance(_raw_details, list) else []
details_list = err_obj.get("details") if isinstance(err_obj.get("details"), list) else []
reason = ""
retry_after: Optional[float] = None
-242
View File
@@ -1,242 +0,0 @@
"""
Image Generation Provider ABC
=============================
Defines the pluggable-backend interface for image generation. Providers register
instances via ``PluginContext.register_image_gen_provider()``; the active one
(selected via ``image_gen.provider`` in ``config.yaml``) services every
``image_generate`` tool call.
Providers live in ``<repo>/plugins/image_gen/<name>/`` (built-in, auto-loaded
as ``kind: backend``) or ``~/.hermes/plugins/image_gen/<name>/`` (user, opt-in
via ``plugins.enabled``).
Response shape
--------------
All providers return a dict that :func:`success_response` / :func:`error_response`
produce. The tool wrapper JSON-serializes it. Keys:
success bool
image str | None URL or absolute file path
model str provider-specific model identifier
prompt str echoed prompt
aspect_ratio str "landscape" | "square" | "portrait"
provider str provider name (for diagnostics)
error str only when success=False
error_type str only when success=False
"""
from __future__ import annotations
import abc
import base64
import datetime
import logging
import uuid
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
logger = logging.getLogger(__name__)
VALID_ASPECT_RATIOS: Tuple[str, ...] = ("landscape", "square", "portrait")
DEFAULT_ASPECT_RATIO = "landscape"
# ---------------------------------------------------------------------------
# ABC
# ---------------------------------------------------------------------------
class ImageGenProvider(abc.ABC):
"""Abstract base class for an image generation backend.
Subclasses must implement :meth:`generate`. Everything else has sane
defaults override only what your provider needs.
"""
@property
@abc.abstractmethod
def name(self) -> str:
"""Stable short identifier used in ``image_gen.provider`` config.
Lowercase, no spaces. Examples: ``fal``, ``openai``, ``replicate``.
"""
@property
def display_name(self) -> str:
"""Human-readable label shown in ``hermes tools``. Defaults to ``name.title()``."""
return self.name.title()
def is_available(self) -> bool:
"""Return True when this provider can service calls.
Typically checks for a required API key. Default: True
(providers with no external dependencies are always available).
"""
return True
def list_models(self) -> List[Dict[str, Any]]:
"""Return catalog entries for ``hermes tools`` model picker.
Each entry::
{
"id": "gpt-image-1.5", # required
"display": "GPT Image 1.5", # optional; defaults to id
"speed": "~10s", # optional
"strengths": "...", # optional
"price": "$...", # optional
}
Default: empty list (provider has no user-selectable models).
"""
return []
def get_setup_schema(self) -> Dict[str, Any]:
"""Return provider metadata for the ``hermes tools`` picker.
Used by ``tools_config.py`` to inject this provider as a row in
the Image Generation provider list. Shape::
{
"name": "OpenAI", # picker label
"badge": "paid", # optional short tag
"tag": "One-line description...", # optional subtitle
"env_vars": [ # keys to prompt for
{"key": "OPENAI_API_KEY",
"prompt": "OpenAI API key",
"url": "https://platform.openai.com/api-keys"},
],
}
Default: minimal entry derived from ``display_name``. Override to
expose API key prompts and custom badges.
"""
return {
"name": self.display_name,
"badge": "",
"tag": "",
"env_vars": [],
}
def default_model(self) -> Optional[str]:
"""Return the default model id, or None if not applicable."""
models = self.list_models()
if models:
return models[0].get("id")
return None
@abc.abstractmethod
def generate(
self,
prompt: str,
aspect_ratio: str = DEFAULT_ASPECT_RATIO,
**kwargs: Any,
) -> Dict[str, Any]:
"""Generate an image.
Implementations should return the dict from :func:`success_response`
or :func:`error_response`. ``kwargs`` may contain forward-compat
parameters future versions of the schema will expose implementations
should ignore unknown keys.
"""
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def resolve_aspect_ratio(value: Optional[str]) -> str:
"""Clamp an aspect_ratio value to the valid set, defaulting to landscape.
Invalid values are coerced rather than rejected so the tool surface is
forgiving of agent mistakes.
"""
if not isinstance(value, str):
return DEFAULT_ASPECT_RATIO
v = value.strip().lower()
if v in VALID_ASPECT_RATIOS:
return v
return DEFAULT_ASPECT_RATIO
def _images_cache_dir() -> Path:
"""Return ``$HERMES_HOME/cache/images/``, creating parents as needed."""
from hermes_constants import get_hermes_home
path = get_hermes_home() / "cache" / "images"
path.mkdir(parents=True, exist_ok=True)
return path
def save_b64_image(
b64_data: str,
*,
prefix: str = "image",
extension: str = "png",
) -> Path:
"""Decode base64 image data and write it under ``$HERMES_HOME/cache/images/``.
Returns the absolute :class:`Path` to the saved file.
Filename format: ``<prefix>_<YYYYMMDD_HHMMSS>_<short-uuid>.<ext>``.
"""
raw = base64.b64decode(b64_data)
ts = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
short = uuid.uuid4().hex[:8]
path = _images_cache_dir() / f"{prefix}_{ts}_{short}.{extension}"
path.write_bytes(raw)
return path
def success_response(
*,
image: str,
model: str,
prompt: str,
aspect_ratio: str,
provider: str,
extra: Optional[Dict[str, Any]] = None,
) -> Dict[str, Any]:
"""Build a uniform success response dict.
``image`` may be an HTTP URL or an absolute filesystem path (for b64
providers like OpenAI). Callers that need to pass through additional
backend-specific fields can supply ``extra``.
"""
payload: Dict[str, Any] = {
"success": True,
"image": image,
"model": model,
"prompt": prompt,
"aspect_ratio": aspect_ratio,
"provider": provider,
}
if extra:
for k, v in extra.items():
payload.setdefault(k, v)
return payload
def error_response(
*,
error: str,
error_type: str = "provider_error",
provider: str = "",
model: str = "",
prompt: str = "",
aspect_ratio: str = DEFAULT_ASPECT_RATIO,
) -> Dict[str, Any]:
"""Build a uniform error response dict."""
return {
"success": False,
"image": None,
"error": error,
"error_type": error_type,
"model": model,
"prompt": prompt,
"aspect_ratio": aspect_ratio,
"provider": provider,
}
-120
View File
@@ -1,120 +0,0 @@
"""
Image Generation Provider Registry
==================================
Central map of registered providers. Populated by plugins at import-time via
``PluginContext.register_image_gen_provider()``; consumed by the
``image_generate`` tool to dispatch each call to the active backend.
Active selection
----------------
The active provider is chosen by ``image_gen.provider`` in ``config.yaml``.
If unset, :func:`get_active_provider` applies fallback logic:
1. If exactly one provider is registered, use it.
2. Otherwise if a provider named ``fal`` is registered, use it (legacy
default matches pre-plugin behavior).
3. Otherwise return ``None`` (the tool surfaces a helpful error pointing
the user at ``hermes tools``).
"""
from __future__ import annotations
import logging
import threading
from typing import Dict, List, Optional
from agent.image_gen_provider import ImageGenProvider
logger = logging.getLogger(__name__)
_providers: Dict[str, ImageGenProvider] = {}
_lock = threading.Lock()
def register_provider(provider: ImageGenProvider) -> None:
"""Register an image generation provider.
Re-registration (same ``name``) overwrites the previous entry and logs
a debug message this makes hot-reload scenarios (tests, dev loops)
behave predictably.
"""
if not isinstance(provider, ImageGenProvider):
raise TypeError(
f"register_provider() expects an ImageGenProvider instance, "
f"got {type(provider).__name__}"
)
name = provider.name
if not isinstance(name, str) or not name.strip():
raise ValueError("Image gen provider .name must be a non-empty string")
with _lock:
existing = _providers.get(name)
_providers[name] = provider
if existing is not None:
logger.debug("Image gen provider '%s' re-registered (was %r)", name, type(existing).__name__)
else:
logger.debug("Registered image gen provider '%s' (%s)", name, type(provider).__name__)
def list_providers() -> List[ImageGenProvider]:
"""Return all registered providers, sorted by name."""
with _lock:
items = list(_providers.values())
return sorted(items, key=lambda p: p.name)
def get_provider(name: str) -> Optional[ImageGenProvider]:
"""Return the provider registered under *name*, or None."""
if not isinstance(name, str):
return None
with _lock:
return _providers.get(name.strip())
def get_active_provider() -> Optional[ImageGenProvider]:
"""Resolve the currently-active provider.
Reads ``image_gen.provider`` from config.yaml; falls back per the
module docstring.
"""
configured: Optional[str] = None
try:
from hermes_cli.config import load_config
cfg = load_config()
section = cfg.get("image_gen") if isinstance(cfg, dict) else None
if isinstance(section, dict):
raw = section.get("provider")
if isinstance(raw, str) and raw.strip():
configured = raw.strip()
except Exception as exc:
logger.debug("Could not read image_gen.provider from config: %s", exc)
with _lock:
snapshot = dict(_providers)
if configured:
provider = snapshot.get(configured)
if provider is not None:
return provider
logger.debug(
"image_gen.provider='%s' configured but not registered; falling back",
configured,
)
# Fallback: single-provider case
if len(snapshot) == 1:
return next(iter(snapshot.values()))
# Fallback: prefer legacy FAL for backward compat
if "fal" in snapshot:
return snapshot["fal"]
return None
def _reset_for_tests() -> None:
"""Clear the registry. **Test-only.**"""
with _lock:
_providers.clear()
-162
View File
@@ -124,7 +124,6 @@ class InsightsEngine:
# Gather raw data
sessions = self._get_sessions(cutoff, source)
tool_usage = self._get_tool_usage(cutoff, source)
skill_usage = self._get_skill_usage(cutoff, source)
message_stats = self._get_message_stats(cutoff, source)
if not sessions:
@@ -136,15 +135,6 @@ class InsightsEngine:
"models": [],
"platforms": [],
"tools": [],
"skills": {
"summary": {
"total_skill_loads": 0,
"total_skill_edits": 0,
"total_skill_actions": 0,
"distinct_skills_used": 0,
},
"top_skills": [],
},
"activity": {},
"top_sessions": [],
}
@@ -154,7 +144,6 @@ class InsightsEngine:
models = self._compute_model_breakdown(sessions)
platforms = self._compute_platform_breakdown(sessions)
tools = self._compute_tool_breakdown(tool_usage)
skills = self._compute_skill_breakdown(skill_usage)
activity = self._compute_activity_patterns(sessions)
top_sessions = self._compute_top_sessions(sessions)
@@ -167,7 +156,6 @@ class InsightsEngine:
"models": models,
"platforms": platforms,
"tools": tools,
"skills": skills,
"activity": activity,
"top_sessions": top_sessions,
}
@@ -296,82 +284,6 @@ class InsightsEngine:
for name, count in tool_counts.most_common()
]
def _get_skill_usage(self, cutoff: float, source: str = None) -> List[Dict]:
"""Extract per-skill usage from assistant tool calls."""
skill_counts: Dict[str, Dict[str, Any]] = {}
if source:
cursor = self._conn.execute(
"""SELECT m.tool_calls, m.timestamp
FROM messages m
JOIN sessions s ON s.id = m.session_id
WHERE s.started_at >= ? AND s.source = ?
AND m.role = 'assistant' AND m.tool_calls IS NOT NULL""",
(cutoff, source),
)
else:
cursor = self._conn.execute(
"""SELECT m.tool_calls, m.timestamp
FROM messages m
JOIN sessions s ON s.id = m.session_id
WHERE s.started_at >= ?
AND m.role = 'assistant' AND m.tool_calls IS NOT NULL""",
(cutoff,),
)
for row in cursor.fetchall():
try:
calls = row["tool_calls"]
if isinstance(calls, str):
calls = json.loads(calls)
if not isinstance(calls, list):
continue
except (json.JSONDecodeError, TypeError):
continue
timestamp = row["timestamp"]
for call in calls:
if not isinstance(call, dict):
continue
func = call.get("function", {})
tool_name = func.get("name")
if tool_name not in {"skill_view", "skill_manage"}:
continue
args = func.get("arguments")
if isinstance(args, str):
try:
args = json.loads(args)
except (json.JSONDecodeError, TypeError):
continue
if not isinstance(args, dict):
continue
skill_name = args.get("name")
if not isinstance(skill_name, str) or not skill_name.strip():
continue
entry = skill_counts.setdefault(
skill_name,
{
"skill": skill_name,
"view_count": 0,
"manage_count": 0,
"last_used_at": None,
},
)
if tool_name == "skill_view":
entry["view_count"] += 1
else:
entry["manage_count"] += 1
if timestamp is not None and (
entry["last_used_at"] is None or timestamp > entry["last_used_at"]
):
entry["last_used_at"] = timestamp
return list(skill_counts.values())
def _get_message_stats(self, cutoff: float, source: str = None) -> Dict:
"""Get aggregate message statistics."""
if source:
@@ -563,46 +475,6 @@ class InsightsEngine:
})
return result
def _compute_skill_breakdown(self, skill_usage: List[Dict]) -> Dict[str, Any]:
"""Process per-skill usage into summary + ranked list."""
total_skill_loads = sum(s["view_count"] for s in skill_usage) if skill_usage else 0
total_skill_edits = sum(s["manage_count"] for s in skill_usage) if skill_usage else 0
total_skill_actions = total_skill_loads + total_skill_edits
top_skills = []
for skill in skill_usage:
total_count = skill["view_count"] + skill["manage_count"]
percentage = (total_count / total_skill_actions * 100) if total_skill_actions else 0
top_skills.append({
"skill": skill["skill"],
"view_count": skill["view_count"],
"manage_count": skill["manage_count"],
"total_count": total_count,
"percentage": percentage,
"last_used_at": skill.get("last_used_at"),
})
top_skills.sort(
key=lambda s: (
s["total_count"],
s["view_count"],
s["manage_count"],
s["last_used_at"] or 0,
s["skill"],
),
reverse=True,
)
return {
"summary": {
"total_skill_loads": total_skill_loads,
"total_skill_edits": total_skill_edits,
"total_skill_actions": total_skill_actions,
"distinct_skills_used": len(skill_usage),
},
"top_skills": top_skills,
}
def _compute_activity_patterns(self, sessions: List[Dict]) -> Dict:
"""Analyze activity patterns by day of week and hour."""
day_counts = Counter() # 0=Monday ... 6=Sunday
@@ -798,28 +670,6 @@ class InsightsEngine:
lines.append(f" ... and {len(report['tools']) - 15} more tools")
lines.append("")
# Skill usage
skills = report.get("skills", {})
top_skills = skills.get("top_skills", [])
if top_skills:
lines.append(" 🧠 Top Skills")
lines.append(" " + "" * 56)
lines.append(f" {'Skill':<28} {'Loads':>7} {'Edits':>7} {'Last used':>11}")
for skill in top_skills[:10]:
last_used = ""
if skill.get("last_used_at"):
last_used = datetime.fromtimestamp(skill["last_used_at"]).strftime("%b %d")
lines.append(
f" {skill['skill'][:28]:<28} {skill['view_count']:>7,} {skill['manage_count']:>7,} {last_used:>11}"
)
summary = skills.get("summary", {})
lines.append(
f" Distinct skills: {summary.get('distinct_skills_used', 0)} "
f"Loads: {summary.get('total_skill_loads', 0):,} "
f"Edits: {summary.get('total_skill_edits', 0):,}"
)
lines.append("")
# Activity patterns
act = report.get("activity", {})
if act.get("by_day"):
@@ -903,18 +753,6 @@ class InsightsEngine:
lines.append(f" {t['tool']}{t['count']:,} calls ({t['percentage']:.1f}%)")
lines.append("")
skills = report.get("skills", {})
if skills.get("top_skills"):
lines.append("**🧠 Top Skills:**")
for skill in skills["top_skills"][:5]:
suffix = ""
if skill.get("last_used_at"):
suffix = f", last used {datetime.fromtimestamp(skill['last_used_at']).strftime('%b %d')}"
lines.append(
f" {skill['skill']}{skill['view_count']:,} loads, {skill['manage_count']:,} edits{suffix}"
)
lines.append("")
# Activity summary
act = report.get("activity", {})
if act.get("busiest_day") and act.get("busiest_hour"):
+16 -90
View File
@@ -14,8 +14,6 @@ from urllib.parse import urlparse
import requests
import yaml
from utils import base_url_host_matches, base_url_hostname
from hermes_constants import OPENROUTER_MODELS_URL
logger = logging.getLogger(__name__)
@@ -25,7 +23,7 @@ logger = logging.getLogger(__name__)
# are preserved so the full model name reaches cache lookups and server queries.
_PROVIDER_PREFIXES: frozenset[str] = frozenset({
"openrouter", "nous", "openai-codex", "copilot", "copilot-acp",
"gemini", "ollama-cloud", "zai", "kimi-coding", "kimi-coding-cn", "stepfun", "minimax", "minimax-cn", "anthropic", "deepseek",
"gemini", "ollama-cloud", "zai", "kimi-coding", "kimi-coding-cn", "minimax", "minimax-cn", "anthropic", "deepseek",
"opencode-zen", "opencode-go", "ai-gateway", "kilocode", "alibaba",
"qwen-oauth",
"xiaomi",
@@ -36,7 +34,7 @@ _PROVIDER_PREFIXES: frozenset[str] = frozenset({
"glm", "z-ai", "z.ai", "zhipu", "github", "github-copilot",
"github-models", "kimi", "moonshot", "kimi-cn", "moonshot-cn", "claude", "deep-seek",
"ollama",
"stepfun", "opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
"opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
"mimo", "xiaomi-mimo",
"arcee-ai", "arceeai",
"xai", "x-ai", "x.ai", "grok",
@@ -118,6 +116,7 @@ DEFAULT_CONTEXT_LENGTHS = {
"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)
"gpt-5.3-codex-spark": 128000, # Spark variant has reduced 128k context
"gpt-5.1-chat": 128000, # Chat variant has 128k context
"gpt-5": 400000, # GPT-5.x base, mini, codex variants (400k)
"gpt-4.1": 1047576,
@@ -170,7 +169,6 @@ DEFAULT_CONTEXT_LENGTHS = {
"Qwen/Qwen3.5-35B-A3B": 131072,
"deepseek-ai/DeepSeek-V3.2": 65536,
"moonshotai/Kimi-K2.5": 262144,
"moonshotai/Kimi-K2.6": 262144,
"moonshotai/Kimi-K2-Thinking": 262144,
"MiniMaxAI/MiniMax-M2.5": 204800,
"XiaomiMiMo/MiMo-V2-Flash": 256000,
@@ -213,15 +211,8 @@ def _normalize_base_url(base_url: str) -> str:
return (base_url or "").strip().rstrip("/")
def _auth_headers(api_key: str = "") -> Dict[str, str]:
token = str(api_key or "").strip()
if not token:
return {}
return {"Authorization": f"Bearer {token}"}
def _is_openrouter_base_url(base_url: str) -> bool:
return base_url_host_matches(base_url, "openrouter.ai")
return "openrouter.ai" in _normalize_base_url(base_url).lower()
def _is_custom_endpoint(base_url: str) -> bool:
@@ -237,8 +228,6 @@ _URL_TO_PROVIDER: Dict[str, str] = {
"api.moonshot.ai": "kimi-coding",
"api.moonshot.cn": "kimi-coding-cn",
"api.kimi.com": "kimi-coding",
"api.stepfun.ai": "stepfun",
"api.stepfun.com": "stepfun",
"api.arcee.ai": "arcee",
"api.minimax": "minimax",
"dashscope.aliyuncs.com": "alibaba",
@@ -321,7 +310,7 @@ def is_local_endpoint(base_url: str) -> bool:
return False
def detect_local_server_type(base_url: str, api_key: str = "") -> Optional[str]:
def detect_local_server_type(base_url: str) -> Optional[str]:
"""Detect which local server is running at base_url by probing known endpoints.
Returns one of: "ollama", "lm-studio", "vllm", "llamacpp", or None.
@@ -333,10 +322,8 @@ def detect_local_server_type(base_url: str, api_key: str = "") -> Optional[str]:
if server_url.endswith("/v1"):
server_url = server_url[:-3]
headers = _auth_headers(api_key)
try:
with httpx.Client(timeout=2.0, headers=headers) as client:
with httpx.Client(timeout=2.0) as client:
# LM Studio exposes /api/v1/models — check first (most specific)
try:
r = client.get(f"{server_url}/api/v1/models")
@@ -523,59 +510,6 @@ def fetch_endpoint_model_metadata(
headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
last_error: Optional[Exception] = None
if is_local_endpoint(normalized):
try:
if detect_local_server_type(normalized, api_key=api_key) == "lm-studio":
server_url = normalized[:-3].rstrip("/") if normalized.endswith("/v1") else normalized
response = requests.get(
server_url.rstrip("/") + "/api/v1/models",
headers=headers,
timeout=10,
)
response.raise_for_status()
payload = response.json()
cache: Dict[str, Dict[str, Any]] = {}
for model in payload.get("models", []):
if not isinstance(model, dict):
continue
model_id = model.get("key") or model.get("id")
if not model_id:
continue
entry: Dict[str, Any] = {"name": model.get("name", model_id)}
context_length = None
for inst in model.get("loaded_instances", []) or []:
if not isinstance(inst, dict):
continue
cfg = inst.get("config", {})
ctx = cfg.get("context_length") if isinstance(cfg, dict) else None
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
max_completion_tokens = _extract_max_completion_tokens(model)
if max_completion_tokens is not None:
entry["max_completion_tokens"] = max_completion_tokens
pricing = _extract_pricing(model)
if pricing:
entry["pricing"] = pricing
_add_model_aliases(cache, model_id, entry)
alt_id = model.get("id")
if isinstance(alt_id, str) and alt_id and alt_id != model_id:
_add_model_aliases(cache, alt_id, entry)
_endpoint_model_metadata_cache[normalized] = cache
_endpoint_model_metadata_cache_time[normalized] = time.time()
return cache
except Exception as exc:
last_error = exc
for candidate in candidates:
url = candidate.rstrip("/") + "/models"
try:
@@ -782,7 +716,7 @@ def _model_id_matches(candidate_id: str, lookup_model: str) -> bool:
return False
def query_ollama_num_ctx(model: str, base_url: str, api_key: str = "") -> Optional[int]:
def query_ollama_num_ctx(model: str, base_url: str) -> Optional[int]:
"""Query an Ollama server for the model's context length.
Returns the model's maximum context from GGUF metadata via ``/api/show``,
@@ -800,16 +734,14 @@ def query_ollama_num_ctx(model: str, base_url: str, api_key: str = "") -> Option
server_url = server_url[:-3]
try:
server_type = detect_local_server_type(base_url, api_key=api_key)
server_type = detect_local_server_type(base_url)
except Exception:
return None
if server_type != "ollama":
return None
headers = _auth_headers(api_key)
try:
with httpx.Client(timeout=3.0, headers=headers) as client:
with httpx.Client(timeout=3.0) as client:
resp = client.post(f"{server_url}/api/show", json={"name": bare_model})
if resp.status_code != 200:
return None
@@ -837,7 +769,7 @@ def query_ollama_num_ctx(model: str, base_url: str, api_key: str = "") -> Option
return None
def _query_local_context_length(model: str, base_url: str, api_key: str = "") -> Optional[int]:
def _query_local_context_length(model: str, base_url: str) -> Optional[int]:
"""Query a local server for the model's context length."""
import httpx
@@ -850,15 +782,13 @@ def _query_local_context_length(model: str, base_url: str, api_key: str = "") ->
if server_url.endswith("/v1"):
server_url = server_url[:-3]
headers = _auth_headers(api_key)
try:
server_type = detect_local_server_type(base_url, api_key=api_key)
server_type = detect_local_server_type(base_url)
except Exception:
server_type = None
try:
with httpx.Client(timeout=3.0, headers=headers) as client:
with httpx.Client(timeout=3.0) as client:
# Ollama: /api/show returns model details with context info
if server_type == "ollama":
resp = client.post(f"{server_url}/api/show", json={"name": model})
@@ -1069,7 +999,7 @@ def get_model_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)
local_ctx = _query_local_context_length(model, base_url)
if local_ctx and local_ctx > 0:
save_context_length(model, base_url, local_ctx)
return local_ctx
@@ -1083,7 +1013,7 @@ def get_model_context_length(
# 4. Anthropic /v1/models API (only for regular API keys, not OAuth)
if provider == "anthropic" or (
base_url and base_url_hostname(base_url) == "api.anthropic.com"
base_url and "api.anthropic.com" in base_url
):
ctx = _query_anthropic_context_length(model, base_url or "https://api.anthropic.com", api_key)
if ctx:
@@ -1092,11 +1022,7 @@ def get_model_context_length(
# 4b. AWS Bedrock — use static context length table.
# Bedrock's ListFoundationModels doesn't expose context window sizes,
# so we maintain a curated table in bedrock_adapter.py.
if provider == "bedrock" or (
base_url
and base_url_hostname(base_url).startswith("bedrock-runtime.")
and base_url_host_matches(base_url, "amazonaws.com")
):
if provider == "bedrock" or (base_url and "bedrock-runtime" in base_url):
try:
from agent.bedrock_adapter import get_bedrock_context_length
return get_bedrock_context_length(model)
@@ -1143,7 +1069,7 @@ def get_model_context_length(
# 9. Query local server as last resort
if base_url and is_local_endpoint(base_url):
local_ctx = _query_local_context_length(model, base_url, api_key=api_key)
local_ctx = _query_local_context_length(model, base_url)
if local_ctx and local_ctx > 0:
save_context_length(model, base_url, local_ctx)
return local_ctx
-1
View File
@@ -146,7 +146,6 @@ PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
"openai-codex": "openai",
"zai": "zai",
"kimi-coding": "kimi-for-coding",
"stepfun": "stepfun",
"kimi-coding-cn": "kimi-for-coding",
"minimax": "minimax",
"minimax-cn": "minimax-cn",
+1 -7
View File
@@ -350,13 +350,7 @@ PLATFORM_HINTS = {
),
"cli": (
"You are a CLI AI Agent. Try not to use markdown but simple text "
"renderable inside a terminal. "
"File delivery: there is no attachment channel — the user reads your "
"response directly in their terminal. Do NOT emit MEDIA:/path tags "
"(those are only intercepted on messaging platforms like Telegram, "
"Discord, Slack, etc.; on the CLI they render as literal text). "
"When referring to a file you created or changed, just state its "
"absolute path in plain text; the user can open it from there."
"renderable inside a terminal."
),
"sms": (
"You are communicating via SMS. Keep responses concise and use plain text "
-142
View File
@@ -13,48 +13,6 @@ import re
logger = logging.getLogger(__name__)
# Sensitive query-string parameter names (case-insensitive exact match).
# Ported from nearai/ironclaw#2529 — catches tokens whose values don't match
# any known vendor prefix regex (e.g. opaque tokens, short OAuth codes).
_SENSITIVE_QUERY_PARAMS = frozenset({
"access_token",
"refresh_token",
"id_token",
"token",
"api_key",
"apikey",
"client_secret",
"password",
"auth",
"jwt",
"session",
"secret",
"key",
"code", # OAuth authorization codes
"signature", # pre-signed URL signatures
"x-amz-signature",
})
# Sensitive form-urlencoded / JSON body key names (case-insensitive exact match).
# Exact match, NOT substring — "token_count" and "session_id" must NOT match.
# Ported from nearai/ironclaw#2529.
_SENSITIVE_BODY_KEYS = frozenset({
"access_token",
"refresh_token",
"id_token",
"token",
"api_key",
"apikey",
"client_secret",
"password",
"auth",
"jwt",
"secret",
"private_key",
"authorization",
"key",
})
# Snapshot at import time so runtime env mutations (e.g. LLM-generated
# `export HERMES_REDACT_SECRETS=false`) cannot disable redaction mid-session.
_REDACT_ENABLED = os.getenv("HERMES_REDACT_SECRETS", "").lower() not in ("0", "false", "no", "off")
@@ -150,30 +108,6 @@ _DISCORD_MENTION_RE = re.compile(r"<@!?(\d{17,20})>")
# Negative lookahead prevents matching hex strings or identifiers
_SIGNAL_PHONE_RE = re.compile(r"(\+[1-9]\d{6,14})(?![A-Za-z0-9])")
# URLs containing query strings — matches `scheme://...?...[# or end]`.
# Used to scan text for URLs whose query params may contain secrets.
# Ported from nearai/ironclaw#2529.
_URL_WITH_QUERY_RE = re.compile(
r"(https?|wss?|ftp)://" # scheme
r"([^\s/?#]+)" # authority (may include userinfo)
r"([^\s?#]*)" # path
r"\?([^\s#]+)" # query (required)
r"(#\S*)?", # optional fragment
)
# URLs containing userinfo — `scheme://user:password@host` for ANY scheme
# (not just DB protocols already covered by _DB_CONNSTR_RE above).
# Catches things like `https://user:token@api.example.com/v1/foo`.
_URL_USERINFO_RE = re.compile(
r"(https?|wss?|ftp)://([^/\s:@]+):([^/\s@]+)@",
)
# Form-urlencoded body detection: conservative — only applies when the entire
# text looks like a query string (k=v&k=v pattern with no newlines).
_FORM_BODY_RE = re.compile(
r"^[A-Za-z_][A-Za-z0-9_.-]*=[^&\s]*(?:&[A-Za-z_][A-Za-z0-9_.-]*=[^&\s]*)+$"
)
# Compile known prefix patterns into one alternation
_PREFIX_RE = re.compile(
r"(?<![A-Za-z0-9_-])(" + "|".join(_PREFIX_PATTERNS) + r")(?![A-Za-z0-9_-])"
@@ -187,72 +121,6 @@ def _mask_token(token: str) -> str:
return f"{token[:6]}...{token[-4:]}"
def _redact_query_string(query: str) -> str:
"""Redact sensitive parameter values in a URL query string.
Handles `k=v&k=v` format. Sensitive keys (case-insensitive) have values
replaced with `***`. Non-sensitive keys pass through unchanged.
Empty or malformed pairs are preserved as-is.
"""
if not query:
return query
parts = []
for pair in query.split("&"):
if "=" not in pair:
parts.append(pair)
continue
key, _, value = pair.partition("=")
if key.lower() in _SENSITIVE_QUERY_PARAMS:
parts.append(f"{key}=***")
else:
parts.append(pair)
return "&".join(parts)
def _redact_url_query_params(text: str) -> str:
"""Scan text for URLs with query strings and redact sensitive params.
Catches opaque tokens that don't match vendor prefix regexes, e.g.
`https://example.com/cb?code=ABC123&state=xyz` `...?code=***&state=xyz`.
"""
def _sub(m: re.Match) -> str:
scheme = m.group(1)
authority = m.group(2)
path = m.group(3)
query = _redact_query_string(m.group(4))
fragment = m.group(5) or ""
return f"{scheme}://{authority}{path}?{query}{fragment}"
return _URL_WITH_QUERY_RE.sub(_sub, text)
def _redact_url_userinfo(text: str) -> str:
"""Strip `user:password@` from HTTP/WS/FTP URLs.
DB protocols (postgres, mysql, mongodb, redis, amqp) are handled
separately by `_DB_CONNSTR_RE`.
"""
return _URL_USERINFO_RE.sub(
lambda m: f"{m.group(1)}://{m.group(2)}:***@",
text,
)
def _redact_form_body(text: str) -> str:
"""Redact sensitive values in a form-urlencoded body.
Only applies when the entire input looks like a pure form body
(k=v&k=v with no newlines, no other text). Single-line non-form
text passes through unchanged. This is a conservative pass the
`_redact_url_query_params` function handles embedded query strings.
"""
if not text or "\n" in text or "&" not in text:
return text
# The body-body form check is strict: only trigger on clean k=v&k=v.
if not _FORM_BODY_RE.match(text.strip()):
return text
return _redact_query_string(text.strip())
def redact_sensitive_text(text: str) -> str:
"""Apply all redaction patterns to a block of text.
@@ -305,16 +173,6 @@ def redact_sensitive_text(text: str) -> str:
# JWT tokens (eyJ... — base64-encoded JSON headers)
text = _JWT_RE.sub(lambda m: _mask_token(m.group(0)), text)
# URL userinfo (http(s)://user:pass@host) — redact for non-DB schemes.
# DB schemes are handled above by _DB_CONNSTR_RE.
text = _redact_url_userinfo(text)
# URL query params containing opaque tokens (?access_token=…&code=…)
text = _redact_url_query_params(text)
# Form-urlencoded bodies (only triggers on clean k=v&k=v inputs).
text = _redact_form_body(text)
# Discord user/role mentions (<@snowflake_id>)
text = _DISCORD_MENTION_RE.sub(lambda m: f"<@{'!' if '!' in m.group(0) else ''}***>", text)
-831
View File
@@ -1,831 +0,0 @@
"""
Shell-script hooks bridge.
Reads the ``hooks:`` block from ``cli-config.yaml``, prompts the user for
consent on first use of each ``(event, command)`` pair, and registers
callbacks on the existing plugin hook manager so every existing
``invoke_hook()`` site dispatches to the configured shell scripts with
zero changes to call sites.
Design notes
------------
* Python plugins and shell hooks compose naturally: both flow through
:func:`hermes_cli.plugins.invoke_hook` and its aggregators. Python
plugins are registered first (via ``discover_and_load()``) so their
block decisions win ties over shell-hook blocks.
* Subprocess execution uses ``shlex.split(os.path.expanduser(command))``
with ``shell=False`` no shell injection footguns. Users that need
pipes/redirection wrap their logic in a script.
* First-use consent is gated by the allowlist under
``~/.hermes/shell-hooks-allowlist.json``. Non-TTY callers must pass
``accept_hooks=True`` (resolved from ``--accept-hooks``,
``HERMES_ACCEPT_HOOKS``, or ``hooks_auto_accept: true`` in config)
for registration to succeed without a prompt.
* Registration is idempotent safe to invoke from both the CLI entry
point (``hermes_cli/main.py``) and the gateway entry point
(``gateway/run.py``).
Wire protocol
-------------
**stdin** (JSON, piped to the script)::
{
"hook_event_name": "pre_tool_call",
"tool_name": "terminal",
"tool_input": {"command": "rm -rf /"},
"session_id": "sess_abc123",
"cwd": "/home/user/project",
"extra": {...} # event-specific kwargs
}
**stdout** (JSON, optional anything else is ignored)::
# Block a pre_tool_call (either shape accepted; normalised internally):
{"decision": "block", "reason": "Forbidden command"} # Claude-Code-style
{"action": "block", "message": "Forbidden command"} # Hermes-canonical
# Inject context for pre_llm_call:
{"context": "Today is Friday"}
# Silent no-op:
<empty or any non-matching JSON object>
"""
from __future__ import annotations
import difflib
import json
import logging
import os
import re
import shlex
import subprocess
import sys
import tempfile
import threading
import time
from contextlib import contextmanager
from dataclasses import dataclass, field
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Callable, Dict, Iterator, List, Optional, Set, Tuple
try:
import fcntl # POSIX only; Windows falls back to best-effort without flock.
except ImportError: # pragma: no cover
fcntl = None # type: ignore[assignment]
from hermes_constants import get_hermes_home
logger = logging.getLogger(__name__)
DEFAULT_TIMEOUT_SECONDS = 60
MAX_TIMEOUT_SECONDS = 300
ALLOWLIST_FILENAME = "shell-hooks-allowlist.json"
# (event, matcher, command) triples that have been wired to the plugin
# manager in the current process. Matcher is part of the key because
# the same script can legitimately register for different matchers under
# the same event (e.g. one entry per tool the user wants to gate).
# Second registration attempts for the exact same triple become no-ops
# so the CLI and gateway can both call register_from_config() safely.
_registered: Set[Tuple[str, Optional[str], str]] = set()
_registered_lock = threading.Lock()
# Intra-process lock for allowlist read-modify-write on platforms that
# lack ``fcntl`` (non-POSIX). Kept separate from ``_registered_lock``
# because ``register_from_config`` already holds ``_registered_lock`` when
# it triggers ``_record_approval`` — reusing it here would self-deadlock
# (``threading.Lock`` is non-reentrant). POSIX callers use the sibling
# ``.lock`` file via ``fcntl.flock`` and bypass this.
_allowlist_write_lock = threading.Lock()
@dataclass
class ShellHookSpec:
"""Parsed and validated representation of a single ``hooks:`` entry."""
event: str
command: str
matcher: Optional[str] = None
timeout: int = DEFAULT_TIMEOUT_SECONDS
compiled_matcher: Optional[re.Pattern] = field(default=None, repr=False)
def __post_init__(self) -> None:
# Strip whitespace introduced by YAML quirks (e.g. multi-line string
# folding) — a matcher of " terminal" would otherwise silently fail
# to match "terminal" without any diagnostic.
if isinstance(self.matcher, str):
stripped = self.matcher.strip()
self.matcher = stripped if stripped else None
if self.matcher:
try:
self.compiled_matcher = re.compile(self.matcher)
except re.error as exc:
logger.warning(
"shell hook matcher %r is invalid (%s) — treating as "
"literal equality", self.matcher, exc,
)
self.compiled_matcher = None
def matches_tool(self, tool_name: Optional[str]) -> bool:
if not self.matcher:
return True
if tool_name is None:
return False
if self.compiled_matcher is not None:
return self.compiled_matcher.fullmatch(tool_name) is not None
# compiled_matcher is None only when the regex failed to compile,
# in which case we already warned and fall back to literal equality.
return tool_name == self.matcher
# ---------------------------------------------------------------------------
# Public API
# ---------------------------------------------------------------------------
def register_from_config(
cfg: Optional[Dict[str, Any]],
*,
accept_hooks: bool = False,
) -> List[ShellHookSpec]:
"""Register every configured shell hook on the plugin manager.
``cfg`` is the full parsed config dict (``hermes_cli.config.load_config``
output). The ``hooks:`` key is read out of it. Missing, empty, or
non-dict ``hooks`` is treated as zero configured hooks.
``accept_hooks=True`` skips the TTY consent prompt the caller is
promising that the user has opted in via a flag, env var, or config
setting. ``HERMES_ACCEPT_HOOKS=1`` and ``hooks_auto_accept: true`` are
also honored inside this function so either CLI or gateway call sites
pick them up.
Returns the list of :class:`ShellHookSpec` entries that ended up wired
up on the plugin manager. Skipped entries (unknown events, malformed,
not allowlisted, already registered) are logged but not returned.
"""
if not isinstance(cfg, dict):
return []
effective_accept = _resolve_effective_accept(cfg, accept_hooks)
specs = _parse_hooks_block(cfg.get("hooks"))
if not specs:
return []
registered: List[ShellHookSpec] = []
# Import lazily — avoids circular imports at module-load time.
from hermes_cli.plugins import get_plugin_manager
manager = get_plugin_manager()
# Idempotence + allowlist read happen under the lock; the TTY
# prompt runs outside so other threads aren't parked on a blocking
# input(). Mutation re-takes the lock with a defensive idempotence
# re-check in case two callers ever race through the prompt.
for spec in specs:
key = (spec.event, spec.matcher, spec.command)
with _registered_lock:
if key in _registered:
continue
already_allowlisted = _is_allowlisted(spec.event, spec.command)
if not already_allowlisted:
if not _prompt_and_record(
spec.event, spec.command, accept_hooks=effective_accept,
):
logger.warning(
"shell hook for %s (%s) not allowlisted — skipped. "
"Use --accept-hooks / HERMES_ACCEPT_HOOKS=1 / "
"hooks_auto_accept: true, or approve at the TTY "
"prompt next run.",
spec.event, spec.command,
)
continue
with _registered_lock:
if key in _registered:
continue
manager._hooks.setdefault(spec.event, []).append(_make_callback(spec))
_registered.add(key)
registered.append(spec)
logger.info(
"shell hook registered: %s -> %s (matcher=%s, timeout=%ds)",
spec.event, spec.command, spec.matcher, spec.timeout,
)
return registered
def iter_configured_hooks(cfg: Optional[Dict[str, Any]]) -> List[ShellHookSpec]:
"""Return the parsed ``ShellHookSpec`` entries from config without
registering anything. Used by ``hermes hooks list`` and ``doctor``."""
if not isinstance(cfg, dict):
return []
return _parse_hooks_block(cfg.get("hooks"))
def reset_for_tests() -> None:
"""Clear the idempotence set. Test-only helper."""
with _registered_lock:
_registered.clear()
# ---------------------------------------------------------------------------
# Config parsing
# ---------------------------------------------------------------------------
def _parse_hooks_block(hooks_cfg: Any) -> List[ShellHookSpec]:
"""Normalise the ``hooks:`` dict into a flat list of ``ShellHookSpec``.
Malformed entries warn-and-skip we never raise from config parsing
because a broken hook must not crash the agent.
"""
from hermes_cli.plugins import VALID_HOOKS
if not isinstance(hooks_cfg, dict):
return []
specs: List[ShellHookSpec] = []
for event_name, entries in hooks_cfg.items():
if event_name not in VALID_HOOKS:
suggestion = difflib.get_close_matches(
str(event_name), VALID_HOOKS, n=1, cutoff=0.6,
)
if suggestion:
logger.warning(
"unknown hook event %r in hooks: config — did you mean %r?",
event_name, suggestion[0],
)
else:
logger.warning(
"unknown hook event %r in hooks: config (valid: %s)",
event_name, ", ".join(sorted(VALID_HOOKS)),
)
continue
if entries is None:
continue
if not isinstance(entries, list):
logger.warning(
"hooks.%s must be a list of hook definitions; got %s",
event_name, type(entries).__name__,
)
continue
for i, raw in enumerate(entries):
spec = _parse_single_entry(event_name, i, raw)
if spec is not None:
specs.append(spec)
return specs
def _parse_single_entry(
event: str, index: int, raw: Any,
) -> Optional[ShellHookSpec]:
if not isinstance(raw, dict):
logger.warning(
"hooks.%s[%d] must be a mapping with a 'command' key; got %s",
event, index, type(raw).__name__,
)
return None
command = raw.get("command")
if not isinstance(command, str) or not command.strip():
logger.warning(
"hooks.%s[%d] is missing a non-empty 'command' field",
event, index,
)
return None
matcher = raw.get("matcher")
if matcher is not None and not isinstance(matcher, str):
logger.warning(
"hooks.%s[%d].matcher must be a string regex; ignoring",
event, index,
)
matcher = None
if matcher is not None and event not in ("pre_tool_call", "post_tool_call"):
logger.warning(
"hooks.%s[%d].matcher=%r will be ignored at runtime — the "
"matcher field is only honored for pre_tool_call / "
"post_tool_call. The hook will fire on every %s event.",
event, index, matcher, event,
)
matcher = None
timeout_raw = raw.get("timeout", DEFAULT_TIMEOUT_SECONDS)
try:
timeout = int(timeout_raw)
except (TypeError, ValueError):
logger.warning(
"hooks.%s[%d].timeout must be an int (got %r); using default %ds",
event, index, timeout_raw, DEFAULT_TIMEOUT_SECONDS,
)
timeout = DEFAULT_TIMEOUT_SECONDS
if timeout < 1:
logger.warning(
"hooks.%s[%d].timeout must be >=1; using default %ds",
event, index, DEFAULT_TIMEOUT_SECONDS,
)
timeout = DEFAULT_TIMEOUT_SECONDS
if timeout > MAX_TIMEOUT_SECONDS:
logger.warning(
"hooks.%s[%d].timeout=%ds exceeds max %ds; clamping",
event, index, timeout, MAX_TIMEOUT_SECONDS,
)
timeout = MAX_TIMEOUT_SECONDS
return ShellHookSpec(
event=event,
command=command.strip(),
matcher=matcher,
timeout=timeout,
)
# ---------------------------------------------------------------------------
# Subprocess callback
# ---------------------------------------------------------------------------
_TOP_LEVEL_PAYLOAD_KEYS = {"tool_name", "args", "session_id", "parent_session_id"}
def _spawn(spec: ShellHookSpec, stdin_json: str) -> Dict[str, Any]:
"""Run ``spec.command`` as a subprocess with ``stdin_json`` on stdin.
Returns a diagnostic dict with the same keys for every outcome
(``returncode``, ``stdout``, ``stderr``, ``timed_out``,
``elapsed_seconds``, ``error``). This is the single place the
subprocess is actually invoked both the live callback path
(:func:`_make_callback`) and the CLI test helper (:func:`run_once`)
go through it.
"""
result: Dict[str, Any] = {
"returncode": None,
"stdout": "",
"stderr": "",
"timed_out": False,
"elapsed_seconds": 0.0,
"error": None,
}
try:
argv = shlex.split(os.path.expanduser(spec.command))
except ValueError as exc:
result["error"] = f"command {spec.command!r} cannot be parsed: {exc}"
return result
if not argv:
result["error"] = "empty command"
return result
t0 = time.monotonic()
try:
proc = subprocess.run(
argv,
input=stdin_json,
capture_output=True,
timeout=spec.timeout,
text=True,
shell=False,
)
except subprocess.TimeoutExpired:
result["timed_out"] = True
result["elapsed_seconds"] = round(time.monotonic() - t0, 3)
return result
except FileNotFoundError:
result["error"] = "command not found"
return result
except PermissionError:
result["error"] = "command not executable"
return result
except Exception as exc: # pragma: no cover — defensive
result["error"] = str(exc)
return result
result["returncode"] = proc.returncode
result["stdout"] = proc.stdout or ""
result["stderr"] = proc.stderr or ""
result["elapsed_seconds"] = round(time.monotonic() - t0, 3)
return result
def _make_callback(spec: ShellHookSpec) -> Callable[..., Optional[Dict[str, Any]]]:
"""Build the closure that ``invoke_hook()`` will call per firing."""
def _callback(**kwargs: Any) -> Optional[Dict[str, Any]]:
# Matcher gate — only meaningful for tool-scoped events.
if spec.event in ("pre_tool_call", "post_tool_call"):
if not spec.matches_tool(kwargs.get("tool_name")):
return None
r = _spawn(spec, _serialize_payload(spec.event, kwargs))
if r["error"]:
logger.warning(
"shell hook failed (event=%s command=%s): %s",
spec.event, spec.command, r["error"],
)
return None
if r["timed_out"]:
logger.warning(
"shell hook timed out after %.2fs (event=%s command=%s)",
r["elapsed_seconds"], spec.event, spec.command,
)
return None
stderr = r["stderr"].strip()
if stderr:
logger.debug(
"shell hook stderr (event=%s command=%s): %s",
spec.event, spec.command, stderr[:400],
)
# Non-zero exits: log but still parse stdout so scripts that
# signal failure via exit code can also return a block directive.
if r["returncode"] != 0:
logger.warning(
"shell hook exited %d (event=%s command=%s); stderr=%s",
r["returncode"], spec.event, spec.command, stderr[:400],
)
return _parse_response(spec.event, r["stdout"])
_callback.__name__ = f"shell_hook[{spec.event}:{spec.command}]"
_callback.__qualname__ = _callback.__name__
return _callback
def _serialize_payload(event: str, kwargs: Dict[str, Any]) -> str:
"""Render the stdin JSON payload. Unserialisable values are
stringified via ``default=str`` rather than dropped."""
extras = {k: v for k, v in kwargs.items() if k not in _TOP_LEVEL_PAYLOAD_KEYS}
try:
cwd = str(Path.cwd())
except OSError:
cwd = ""
payload = {
"hook_event_name": event,
"tool_name": kwargs.get("tool_name"),
"tool_input": kwargs.get("args") if isinstance(kwargs.get("args"), dict) else None,
"session_id": kwargs.get("session_id") or kwargs.get("parent_session_id") or "",
"cwd": cwd,
"extra": extras,
}
return json.dumps(payload, ensure_ascii=False, default=str)
def _parse_response(event: str, stdout: str) -> Optional[Dict[str, Any]]:
"""Translate stdout JSON into a Hermes wire-shape dict.
For ``pre_tool_call`` the Claude-Code-style ``{"decision": "block",
"reason": "..."}`` payload is translated into the canonical Hermes
``{"action": "block", "message": "..."}`` shape expected by
:func:`hermes_cli.plugins.get_pre_tool_call_block_message`. This is
the single most important correctness invariant in this module
skipping the translation silently breaks every ``pre_tool_call``
block directive.
For ``pre_llm_call``, ``{"context": "..."}`` is passed through
unchanged to match the existing plugin-hook contract.
Anything else returns ``None``.
"""
stdout = (stdout or "").strip()
if not stdout:
return None
try:
data = json.loads(stdout)
except json.JSONDecodeError:
logger.warning(
"shell hook stdout was not valid JSON (event=%s): %s",
event, stdout[:200],
)
return None
if not isinstance(data, dict):
return None
if event == "pre_tool_call":
if data.get("action") == "block":
message = data.get("message") or data.get("reason") or ""
if isinstance(message, str) and message:
return {"action": "block", "message": message}
if data.get("decision") == "block":
message = data.get("reason") or data.get("message") or ""
if isinstance(message, str) and message:
return {"action": "block", "message": message}
return None
context = data.get("context")
if isinstance(context, str) and context.strip():
return {"context": context}
return None
# ---------------------------------------------------------------------------
# Allowlist / consent
# ---------------------------------------------------------------------------
def allowlist_path() -> Path:
"""Path to the per-user shell-hook allowlist file."""
return get_hermes_home() / ALLOWLIST_FILENAME
def load_allowlist() -> Dict[str, Any]:
"""Return the parsed allowlist, or an empty skeleton if absent."""
try:
raw = json.loads(allowlist_path().read_text())
except (FileNotFoundError, json.JSONDecodeError, OSError):
return {"approvals": []}
if not isinstance(raw, dict):
return {"approvals": []}
approvals = raw.get("approvals")
if not isinstance(approvals, list):
raw["approvals"] = []
return raw
def save_allowlist(data: Dict[str, Any]) -> None:
"""Atomically persist the allowlist via per-process ``mkstemp`` +
``os.replace``. Cross-process read-modify-write races are handled
by :func:`_locked_update_approvals` (``fcntl.flock``). On OSError
the failure is logged; the in-process hook still registers but
the approval won't survive across runs."""
p = allowlist_path()
try:
p.parent.mkdir(parents=True, exist_ok=True)
fd, tmp_path = tempfile.mkstemp(
prefix=f"{p.name}.", suffix=".tmp", dir=str(p.parent),
)
try:
with os.fdopen(fd, "w") as fh:
fh.write(json.dumps(data, indent=2, sort_keys=True))
os.replace(tmp_path, p)
except Exception:
try:
os.unlink(tmp_path)
except OSError:
pass
raise
except OSError as exc:
logger.warning(
"Failed to persist shell hook allowlist to %s: %s. "
"The approval is in-memory for this run, but the next "
"startup will re-prompt (or skip registration on non-TTY "
"runs without --accept-hooks / HERMES_ACCEPT_HOOKS).",
p, exc,
)
def _is_allowlisted(event: str, command: str) -> bool:
data = load_allowlist()
return any(
isinstance(e, dict)
and e.get("event") == event
and e.get("command") == command
for e in data.get("approvals", [])
)
@contextmanager
def _locked_update_approvals() -> Iterator[Dict[str, Any]]:
"""Serialise read-modify-write on the allowlist across processes.
Holds an exclusive ``flock`` on a sibling lock file for the duration
of the update so concurrent ``_record_approval``/``revoke`` callers
cannot clobber each other's changes (the race Codex reproduced with
2050 simultaneous writers). Falls back to an in-process lock on
platforms without ``fcntl``.
"""
p = allowlist_path()
p.parent.mkdir(parents=True, exist_ok=True)
lock_path = p.with_suffix(p.suffix + ".lock")
if fcntl is None: # pragma: no cover — non-POSIX fallback
with _allowlist_write_lock:
data = load_allowlist()
yield data
save_allowlist(data)
return
with open(lock_path, "a+") as lock_fh:
fcntl.flock(lock_fh.fileno(), fcntl.LOCK_EX)
try:
data = load_allowlist()
yield data
save_allowlist(data)
finally:
fcntl.flock(lock_fh.fileno(), fcntl.LOCK_UN)
def _prompt_and_record(
event: str, command: str, *, accept_hooks: bool,
) -> bool:
"""Decide whether to approve an unseen ``(event, command)`` pair.
Returns ``True`` iff the approval was granted and recorded.
"""
if accept_hooks:
_record_approval(event, command)
logger.info(
"shell hook auto-approved via --accept-hooks / env / config: "
"%s -> %s", event, command,
)
return True
if not sys.stdin.isatty():
return False
print(
f"\n⚠ Hermes is about to register a shell hook that will run a\n"
f" command on your behalf.\n\n"
f" Event: {event}\n"
f" Command: {command}\n\n"
f" Commands run with your full user credentials. Only approve\n"
f" commands you trust."
)
try:
answer = input("Allow this hook to run? [y/N]: ").strip().lower()
except (EOFError, KeyboardInterrupt):
print() # keep the terminal tidy after ^C
return False
if answer in ("y", "yes"):
_record_approval(event, command)
return True
return False
def _record_approval(event: str, command: str) -> None:
entry = {
"event": event,
"command": command,
"approved_at": _utc_now_iso(),
"script_mtime_at_approval": script_mtime_iso(command),
}
with _locked_update_approvals() as data:
data["approvals"] = [
e for e in data.get("approvals", [])
if not (
isinstance(e, dict)
and e.get("event") == event
and e.get("command") == command
)
] + [entry]
def _utc_now_iso() -> str:
return datetime.now(tz=timezone.utc).isoformat().replace("+00:00", "Z")
def revoke(command: str) -> int:
"""Remove every allowlist entry matching ``command``.
Returns the number of entries removed. Does not unregister any
callbacks that are already live on the plugin manager in the current
process restart the CLI / gateway to drop them.
"""
with _locked_update_approvals() as data:
before = len(data.get("approvals", []))
data["approvals"] = [
e for e in data.get("approvals", [])
if not (isinstance(e, dict) and e.get("command") == command)
]
after = len(data["approvals"])
return before - after
_SCRIPT_EXTENSIONS: Tuple[str, ...] = (
".sh", ".bash", ".zsh", ".fish",
".py", ".pyw",
".rb", ".pl", ".lua",
".js", ".mjs", ".cjs", ".ts",
)
def _command_script_path(command: str) -> str:
"""Return the script path from ``command`` for doctor / drift checks.
Prefers a token ending in a known script extension, then a token
containing ``/`` or leading ``~``, then the first token. Handles
``python3 /path/hook.py``, ``/usr/bin/env bash hook.sh``, and the
common bare-path form.
"""
try:
parts = shlex.split(command)
except ValueError:
return command
if not parts:
return command
for part in parts:
if part.lower().endswith(_SCRIPT_EXTENSIONS):
return part
for part in parts:
if "/" in part or part.startswith("~"):
return part
return parts[0]
# ---------------------------------------------------------------------------
# Helpers for accept-hooks resolution
# ---------------------------------------------------------------------------
def _resolve_effective_accept(
cfg: Dict[str, Any], accept_hooks_arg: bool,
) -> bool:
"""Combine all three opt-in channels into a single boolean.
Precedence (any truthy source flips us on):
1. ``--accept-hooks`` flag (CLI) / explicit argument
2. ``HERMES_ACCEPT_HOOKS`` env var
3. ``hooks_auto_accept: true`` in ``cli-config.yaml``
"""
if accept_hooks_arg:
return True
env = os.environ.get("HERMES_ACCEPT_HOOKS", "").strip().lower()
if env in ("1", "true", "yes", "on"):
return True
cfg_val = cfg.get("hooks_auto_accept", False)
return bool(cfg_val)
# ---------------------------------------------------------------------------
# Introspection (used by `hermes hooks` CLI)
# ---------------------------------------------------------------------------
def allowlist_entry_for(event: str, command: str) -> Optional[Dict[str, Any]]:
"""Return the allowlist record for this pair, if any."""
for e in load_allowlist().get("approvals", []):
if (
isinstance(e, dict)
and e.get("event") == event
and e.get("command") == command
):
return e
return None
def script_mtime_iso(command: str) -> Optional[str]:
"""ISO-8601 mtime of the resolved script path, or ``None`` if the
script is missing."""
path = _command_script_path(command)
if not path:
return None
try:
expanded = os.path.expanduser(path)
return datetime.fromtimestamp(
os.path.getmtime(expanded), tz=timezone.utc,
).isoformat().replace("+00:00", "Z")
except OSError:
return None
def script_is_executable(command: str) -> bool:
"""Return ``True`` iff ``command`` is runnable as configured.
For a bare invocation (``/path/hook.sh``) the script itself must be
executable. For interpreter-prefixed commands (``python3
/path/hook.py``, ``/usr/bin/env bash hook.sh``) the script just has
to be readable the interpreter doesn't care about the ``X_OK``
bit. Mirrors what ``_spawn`` would actually do at runtime."""
path = _command_script_path(command)
if not path:
return False
expanded = os.path.expanduser(path)
if not os.path.isfile(expanded):
return False
try:
argv = shlex.split(command)
except ValueError:
return False
is_bare_invocation = bool(argv) and argv[0] == path
required = os.X_OK if is_bare_invocation else os.R_OK
return os.access(expanded, required)
def run_once(
spec: ShellHookSpec, kwargs: Dict[str, Any],
) -> Dict[str, Any]:
"""Fire a single shell-hook invocation with a synthetic payload.
Used by ``hermes hooks test`` and ``hermes hooks doctor``.
``kwargs`` is the same dict that :func:`hermes_cli.plugins.invoke_hook`
would pass at runtime. It is routed through :func:`_serialize_payload`
so the synthetic stdin exactly matches what a real hook firing would
produce otherwise scripts tested via ``hermes hooks test`` could
diverge silently from production behaviour.
Returns the :func:`_spawn` diagnostic dict plus a ``parsed`` field
holding the canonical Hermes-wire-shape response."""
stdin_json = _serialize_payload(spec.event, kwargs)
result = _spawn(spec, stdin_json)
result["parsed"] = _parse_response(spec.event, result["stdout"])
return result
+3 -134
View File
@@ -8,7 +8,6 @@ can invoke skills via /skill-name commands and prompt-only built-ins like
import json
import logging
import re
import subprocess
from datetime import datetime
from pathlib import Path
from typing import Any, Dict, Optional
@@ -23,110 +22,6 @@ _PLAN_SLUG_RE = re.compile(r"[^a-z0-9]+")
_SKILL_INVALID_CHARS = re.compile(r"[^a-z0-9-]")
_SKILL_MULTI_HYPHEN = re.compile(r"-{2,}")
# Matches ${HERMES_SKILL_DIR} / ${HERMES_SESSION_ID} tokens in SKILL.md.
# Tokens that don't resolve (e.g. ${HERMES_SESSION_ID} with no session) are
# left as-is so the user can debug them.
_SKILL_TEMPLATE_RE = re.compile(r"\$\{(HERMES_SKILL_DIR|HERMES_SESSION_ID)\}")
# Matches inline shell snippets like: !`date +%Y-%m-%d`
# Non-greedy, single-line only — no newlines inside the backticks.
_INLINE_SHELL_RE = re.compile(r"!`([^`\n]+)`")
# Cap inline-shell output so a runaway command can't blow out the context.
_INLINE_SHELL_MAX_OUTPUT = 4000
def _load_skills_config() -> dict:
"""Load the ``skills`` section of config.yaml (best-effort)."""
try:
from hermes_cli.config import load_config
cfg = load_config() or {}
skills_cfg = cfg.get("skills")
if isinstance(skills_cfg, dict):
return skills_cfg
except Exception:
logger.debug("Could not read skills config", exc_info=True)
return {}
def _substitute_template_vars(
content: str,
skill_dir: Path | None,
session_id: str | None,
) -> str:
"""Replace ${HERMES_SKILL_DIR} / ${HERMES_SESSION_ID} in skill content.
Only substitutes tokens for which a concrete value is available
unresolved tokens are left in place so the author can spot them.
"""
if not content:
return content
skill_dir_str = str(skill_dir) if skill_dir else None
def _replace(match: re.Match) -> str:
token = match.group(1)
if token == "HERMES_SKILL_DIR" and skill_dir_str:
return skill_dir_str
if token == "HERMES_SESSION_ID" and session_id:
return str(session_id)
return match.group(0)
return _SKILL_TEMPLATE_RE.sub(_replace, content)
def _run_inline_shell(command: str, cwd: Path | None, timeout: int) -> str:
"""Execute a single inline-shell snippet and return its stdout (trimmed).
Failures return a short ``[inline-shell error: ...]`` marker instead of
raising, so one bad snippet can't wreck the whole skill message.
"""
try:
completed = subprocess.run(
["bash", "-c", command],
cwd=str(cwd) if cwd else None,
capture_output=True,
text=True,
timeout=max(1, int(timeout)),
check=False,
)
except subprocess.TimeoutExpired:
return f"[inline-shell timeout after {timeout}s: {command}]"
except FileNotFoundError:
return f"[inline-shell error: bash not found]"
except Exception as exc:
return f"[inline-shell error: {exc}]"
output = (completed.stdout or "").rstrip("\n")
if not output and completed.stderr:
output = completed.stderr.rstrip("\n")
if len(output) > _INLINE_SHELL_MAX_OUTPUT:
output = output[:_INLINE_SHELL_MAX_OUTPUT] + "…[truncated]"
return output
def _expand_inline_shell(
content: str,
skill_dir: Path | None,
timeout: int,
) -> str:
"""Replace every !`cmd` snippet in ``content`` with its stdout.
Runs each snippet with the skill directory as CWD so relative paths in
the snippet work the way the author expects.
"""
if "!`" not in content:
return content
def _replace(match: re.Match) -> str:
cmd = match.group(1).strip()
if not cmd:
return ""
return _run_inline_shell(cmd, skill_dir, timeout)
return _INLINE_SHELL_RE.sub(_replace, content)
def build_plan_path(
user_instruction: str = "",
@@ -238,36 +133,14 @@ def _build_skill_message(
activation_note: str,
user_instruction: str = "",
runtime_note: str = "",
session_id: str | None = None,
) -> str:
"""Format a loaded skill into a user/system message payload."""
from tools.skills_tool import SKILLS_DIR
content = str(loaded_skill.get("content") or "")
# ── Template substitution and inline-shell expansion ──
# Done before anything else so downstream blocks (setup notes,
# supporting-file hints) see the expanded content.
skills_cfg = _load_skills_config()
if skills_cfg.get("template_vars", True):
content = _substitute_template_vars(content, skill_dir, session_id)
if skills_cfg.get("inline_shell", False):
timeout = int(skills_cfg.get("inline_shell_timeout", 10) or 10)
content = _expand_inline_shell(content, skill_dir, timeout)
parts = [activation_note, "", content.strip()]
# ── Inject the absolute skill directory so the agent can reference
# bundled scripts without an extra skill_view() round-trip. ──
if skill_dir:
parts.append("")
parts.append(f"[Skill directory: {skill_dir}]")
parts.append(
"Resolve any relative paths in this skill (e.g. `scripts/foo.js`, "
"`templates/config.yaml`) against that directory, then run them "
"with the terminal tool using the absolute path."
)
# ── Inject resolved skill config values ──
_inject_skill_config(loaded_skill, parts)
@@ -315,13 +188,11 @@ def _build_skill_message(
# Skill is from an external dir — use the skill name instead
skill_view_target = skill_dir.name
parts.append("")
parts.append("[This skill has supporting files:]")
parts.append("[This skill has supporting files you can load with the skill_view tool:]")
for sf in supporting:
parts.append(f"- {sf} -> {skill_dir / sf}")
parts.append(f"- {sf}")
parts.append(
f'\nLoad any of these with skill_view(name="{skill_view_target}", '
f'file_path="<path>"), or run scripts directly by absolute path '
f"(e.g. `node {skill_dir}/scripts/foo.js`)."
f'\nTo view any of these, use: skill_view(name="{skill_view_target}", file_path="<path>")'
)
if user_instruction:
@@ -461,7 +332,6 @@ def build_skill_invocation_message(
activation_note,
user_instruction=user_instruction,
runtime_note=runtime_note,
session_id=task_id,
)
@@ -500,7 +370,6 @@ def build_preloaded_skills_prompt(
loaded_skill,
skill_dir,
activation_note,
session_id=task_id,
)
)
loaded_names.append(skill_name)
-51
View File
@@ -1,51 +0,0 @@
"""Transport layer types and registry for provider response normalization.
Usage:
from agent.transports import get_transport
transport = get_transport("anthropic_messages")
result = transport.normalize_response(raw_response)
"""
from agent.transports.types import NormalizedResponse, ToolCall, Usage, build_tool_call, map_finish_reason # noqa: F401
_REGISTRY: dict = {}
def register_transport(api_mode: str, transport_cls: type) -> None:
"""Register a transport class for an api_mode string."""
_REGISTRY[api_mode] = transport_cls
def get_transport(api_mode: str):
"""Get a transport instance for the given api_mode.
Returns None if no transport is registered for this api_mode.
This allows gradual migration call sites can check for None
and fall back to the legacy code path.
"""
if not _REGISTRY:
_discover_transports()
cls = _REGISTRY.get(api_mode)
if cls is None:
return None
return cls()
def _discover_transports() -> None:
"""Import all transport modules to trigger auto-registration."""
try:
import agent.transports.anthropic # noqa: F401
except ImportError:
pass
try:
import agent.transports.codex # noqa: F401
except ImportError:
pass
try:
import agent.transports.chat_completions # noqa: F401
except ImportError:
pass
try:
import agent.transports.bedrock # noqa: F401
except ImportError:
pass
-129
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@@ -1,129 +0,0 @@
"""Anthropic Messages API transport.
Delegates to the existing adapter functions in agent/anthropic_adapter.py.
This transport owns format conversion and normalization NOT client lifecycle.
"""
from typing import Any, Dict, List, Optional
from agent.transports.base import ProviderTransport
from agent.transports.types import NormalizedResponse
class AnthropicTransport(ProviderTransport):
"""Transport for api_mode='anthropic_messages'.
Wraps the existing functions in anthropic_adapter.py behind the
ProviderTransport ABC. Each method delegates no logic is duplicated.
"""
@property
def api_mode(self) -> str:
return "anthropic_messages"
def convert_messages(self, messages: List[Dict[str, Any]], **kwargs) -> Any:
"""Convert OpenAI messages to Anthropic (system, messages) tuple.
kwargs:
base_url: Optional[str] affects thinking signature handling.
"""
from agent.anthropic_adapter import convert_messages_to_anthropic
base_url = kwargs.get("base_url")
return convert_messages_to_anthropic(messages, base_url=base_url)
def convert_tools(self, tools: List[Dict[str, Any]]) -> Any:
"""Convert OpenAI tool schemas to Anthropic input_schema format."""
from agent.anthropic_adapter import convert_tools_to_anthropic
return convert_tools_to_anthropic(tools)
def build_kwargs(
self,
model: str,
messages: List[Dict[str, Any]],
tools: Optional[List[Dict[str, Any]]] = None,
**params,
) -> Dict[str, Any]:
"""Build Anthropic messages.create() kwargs.
Calls convert_messages and convert_tools internally.
params (all optional):
max_tokens: int
reasoning_config: dict | None
tool_choice: str | None
is_oauth: bool
preserve_dots: bool
context_length: int | None
base_url: str | None
fast_mode: bool
"""
from agent.anthropic_adapter import build_anthropic_kwargs
return build_anthropic_kwargs(
model=model,
messages=messages,
tools=tools,
max_tokens=params.get("max_tokens", 16384),
reasoning_config=params.get("reasoning_config"),
tool_choice=params.get("tool_choice"),
is_oauth=params.get("is_oauth", False),
preserve_dots=params.get("preserve_dots", False),
context_length=params.get("context_length"),
base_url=params.get("base_url"),
fast_mode=params.get("fast_mode", False),
)
def normalize_response(self, response: Any, **kwargs) -> NormalizedResponse:
"""Normalize Anthropic response to NormalizedResponse.
kwargs:
strip_tool_prefix: bool strip 'mcp_mcp_' prefixes from tool names.
"""
from agent.anthropic_adapter import normalize_anthropic_response_v2
strip_tool_prefix = kwargs.get("strip_tool_prefix", False)
return normalize_anthropic_response_v2(response, strip_tool_prefix=strip_tool_prefix)
def validate_response(self, response: Any) -> bool:
"""Check Anthropic response structure is valid."""
if response is None:
return False
content_blocks = getattr(response, "content", None)
if not isinstance(content_blocks, list):
return False
if not content_blocks:
return False
return True
def extract_cache_stats(self, response: Any) -> Optional[Dict[str, int]]:
"""Extract Anthropic cache_read and cache_creation token counts."""
usage = getattr(response, "usage", None)
if usage is None:
return None
cached = getattr(usage, "cache_read_input_tokens", 0) or 0
written = getattr(usage, "cache_creation_input_tokens", 0) or 0
if cached or written:
return {"cached_tokens": cached, "creation_tokens": written}
return None
# Promote the adapter's canonical mapping to module level so it's shared
_STOP_REASON_MAP = {
"end_turn": "stop",
"tool_use": "tool_calls",
"max_tokens": "length",
"stop_sequence": "stop",
"refusal": "content_filter",
"model_context_window_exceeded": "length",
}
def map_finish_reason(self, raw_reason: str) -> str:
"""Map Anthropic stop_reason to OpenAI finish_reason."""
return self._STOP_REASON_MAP.get(raw_reason, "stop")
# Auto-register on import
from agent.transports import register_transport # noqa: E402
register_transport("anthropic_messages", AnthropicTransport)
-89
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@@ -1,89 +0,0 @@
"""Abstract base for provider transports.
A transport owns the data path for one api_mode:
convert_messages convert_tools build_kwargs normalize_response
It does NOT own: client construction, streaming, credential refresh,
prompt caching, interrupt handling, or retry logic. Those stay on AIAgent.
"""
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional
from agent.transports.types import NormalizedResponse
class ProviderTransport(ABC):
"""Base class for provider-specific format conversion and normalization."""
@property
@abstractmethod
def api_mode(self) -> str:
"""The api_mode string this transport handles (e.g. 'anthropic_messages')."""
...
@abstractmethod
def convert_messages(self, messages: List[Dict[str, Any]], **kwargs) -> Any:
"""Convert OpenAI-format messages to provider-native format.
Returns provider-specific structure (e.g. (system, messages) for Anthropic,
or the messages list unchanged for chat_completions).
"""
...
@abstractmethod
def convert_tools(self, tools: List[Dict[str, Any]]) -> Any:
"""Convert OpenAI-format tool definitions to provider-native format.
Returns provider-specific tool list (e.g. Anthropic input_schema format).
"""
...
@abstractmethod
def build_kwargs(
self,
model: str,
messages: List[Dict[str, Any]],
tools: Optional[List[Dict[str, Any]]] = None,
**params,
) -> Dict[str, Any]:
"""Build the complete API call kwargs dict.
This is the primary entry point it typically calls convert_messages()
and convert_tools() internally, then adds model-specific config.
Returns a dict ready to be passed to the provider's SDK client.
"""
...
@abstractmethod
def normalize_response(self, response: Any, **kwargs) -> NormalizedResponse:
"""Normalize a raw provider response to the shared NormalizedResponse type.
This is the only method that returns a transport-layer type.
"""
...
def validate_response(self, response: Any) -> bool:
"""Optional: check if the raw response is structurally valid.
Returns True if valid, False if the response should be treated as invalid.
Default implementation always returns True.
"""
return True
def extract_cache_stats(self, response: Any) -> Optional[Dict[str, int]]:
"""Optional: extract provider-specific cache hit/creation stats.
Returns dict with 'cached_tokens' and 'creation_tokens', or None.
Default returns None.
"""
return None
def map_finish_reason(self, raw_reason: str) -> str:
"""Optional: map provider-specific stop reason to OpenAI equivalent.
Default returns the raw reason unchanged. Override for providers
with different stop reason vocabularies.
"""
return raw_reason
-154
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@@ -1,154 +0,0 @@
"""AWS Bedrock Converse API transport.
Delegates to the existing adapter functions in agent/bedrock_adapter.py.
Bedrock uses its own boto3 client (not the OpenAI SDK), so the transport
owns format conversion and normalization, while client construction and
boto3 calls stay on AIAgent.
"""
from typing import Any, Dict, List, Optional
from agent.transports.base import ProviderTransport
from agent.transports.types import NormalizedResponse, ToolCall, Usage
class BedrockTransport(ProviderTransport):
"""Transport for api_mode='bedrock_converse'."""
@property
def api_mode(self) -> str:
return "bedrock_converse"
def convert_messages(self, messages: List[Dict[str, Any]], **kwargs) -> Any:
"""Convert OpenAI messages to Bedrock Converse format."""
from agent.bedrock_adapter import convert_messages_to_converse
return convert_messages_to_converse(messages)
def convert_tools(self, tools: List[Dict[str, Any]]) -> Any:
"""Convert OpenAI tool schemas to Bedrock Converse toolConfig."""
from agent.bedrock_adapter import convert_tools_to_converse
return convert_tools_to_converse(tools)
def build_kwargs(
self,
model: str,
messages: List[Dict[str, Any]],
tools: Optional[List[Dict[str, Any]]] = None,
**params,
) -> Dict[str, Any]:
"""Build Bedrock converse() kwargs.
Calls convert_messages and convert_tools internally.
params:
max_tokens: int output token limit (default 4096)
temperature: float | None
guardrail_config: dict | None Bedrock guardrails
region: str AWS region (default 'us-east-1')
"""
from agent.bedrock_adapter import build_converse_kwargs
region = params.get("region", "us-east-1")
guardrail = params.get("guardrail_config")
kwargs = build_converse_kwargs(
model=model,
messages=messages,
tools=tools,
max_tokens=params.get("max_tokens", 4096),
temperature=params.get("temperature"),
guardrail_config=guardrail,
)
# Sentinel keys for dispatch — agent pops these before the boto3 call
kwargs["__bedrock_converse__"] = True
kwargs["__bedrock_region__"] = region
return kwargs
def normalize_response(self, response: Any, **kwargs) -> NormalizedResponse:
"""Normalize Bedrock response to NormalizedResponse.
Handles two shapes:
1. Raw boto3 dict (from direct converse() calls)
2. Already-normalized SimpleNamespace with .choices (from dispatch site)
"""
from agent.bedrock_adapter import normalize_converse_response
# Normalize to OpenAI-compatible SimpleNamespace
if hasattr(response, "choices") and response.choices:
# Already normalized at dispatch site
ns = response
else:
# Raw boto3 dict
ns = normalize_converse_response(response)
choice = ns.choices[0]
msg = choice.message
finish_reason = choice.finish_reason or "stop"
tool_calls = None
if msg.tool_calls:
tool_calls = [
ToolCall(
id=tc.id,
name=tc.function.name,
arguments=tc.function.arguments,
)
for tc in msg.tool_calls
]
usage = None
if hasattr(ns, "usage") and ns.usage:
u = ns.usage
usage = Usage(
prompt_tokens=getattr(u, "prompt_tokens", 0) or 0,
completion_tokens=getattr(u, "completion_tokens", 0) or 0,
total_tokens=getattr(u, "total_tokens", 0) or 0,
)
reasoning = getattr(msg, "reasoning", None) or getattr(msg, "reasoning_content", None)
return NormalizedResponse(
content=msg.content,
tool_calls=tool_calls,
finish_reason=finish_reason,
reasoning=reasoning,
usage=usage,
)
def validate_response(self, response: Any) -> bool:
"""Check Bedrock response structure.
After normalize_converse_response, the response has OpenAI-compatible
.choices same check as chat_completions.
"""
if response is None:
return False
# Raw Bedrock dict response — check for 'output' key
if isinstance(response, dict):
return "output" in response
# Already-normalized SimpleNamespace
if hasattr(response, "choices"):
return bool(response.choices)
return False
def map_finish_reason(self, raw_reason: str) -> str:
"""Map Bedrock stop reason to OpenAI finish_reason.
The adapter already does this mapping inside normalize_converse_response,
so this is only used for direct access to raw responses.
"""
_MAP = {
"end_turn": "stop",
"tool_use": "tool_calls",
"max_tokens": "length",
"stop_sequence": "stop",
"guardrail_intervened": "content_filter",
"content_filtered": "content_filter",
}
return _MAP.get(raw_reason, "stop")
# Auto-register on import
from agent.transports import register_transport # noqa: E402
register_transport("bedrock_converse", BedrockTransport)
-387
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@@ -1,387 +0,0 @@
"""OpenAI Chat Completions transport.
Handles the default api_mode ('chat_completions') used by ~16 OpenAI-compatible
providers (OpenRouter, Nous, NVIDIA, Qwen, Ollama, DeepSeek, xAI, Kimi, etc.).
Messages and tools are already in OpenAI format convert_messages and
convert_tools are near-identity. The complexity lives in build_kwargs
which has provider-specific conditionals for max_tokens defaults,
reasoning configuration, temperature handling, and extra_body assembly.
"""
import copy
from typing import Any, Dict, List, Optional
from agent.prompt_builder import DEVELOPER_ROLE_MODELS
from agent.transports.base import ProviderTransport
from agent.transports.types import NormalizedResponse, ToolCall, Usage
class ChatCompletionsTransport(ProviderTransport):
"""Transport for api_mode='chat_completions'.
The default path for OpenAI-compatible providers.
"""
@property
def api_mode(self) -> str:
return "chat_completions"
def convert_messages(self, messages: List[Dict[str, Any]], **kwargs) -> List[Dict[str, Any]]:
"""Messages are already in OpenAI format — sanitize Codex leaks only.
Strips Codex Responses API fields (``codex_reasoning_items`` 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:
needs_sanitize = True
break
tool_calls = msg.get("tool_calls")
if isinstance(tool_calls, list):
for tc in tool_calls:
if isinstance(tc, dict) and ("call_id" in tc or "response_item_id" in tc):
needs_sanitize = True
break
if needs_sanitize:
break
if not needs_sanitize:
return messages
sanitized = copy.deepcopy(messages)
for msg in sanitized:
if not isinstance(msg, dict):
continue
msg.pop("codex_reasoning_items", None)
tool_calls = msg.get("tool_calls")
if isinstance(tool_calls, list):
for tc in tool_calls:
if isinstance(tc, dict):
tc.pop("call_id", None)
tc.pop("response_item_id", None)
return sanitized
def convert_tools(self, tools: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""Tools are already in OpenAI format — identity."""
return tools
def build_kwargs(
self,
model: str,
messages: List[Dict[str, Any]],
tools: Optional[List[Dict[str, Any]]] = None,
**params,
) -> Dict[str, Any]:
"""Build chat.completions.create() kwargs.
This is the most complex transport method it handles ~16 providers
via params rather than subclasses.
params:
timeout: float API call timeout
max_tokens: int | None user-configured max tokens
ephemeral_max_output_tokens: int | None one-shot override (error recovery)
max_tokens_param_fn: callable returns {max_tokens: N} or {max_completion_tokens: N}
reasoning_config: dict | None
request_overrides: dict | None
session_id: str | None
qwen_session_metadata: dict | None {sessionId, promptId} precomputed
model_lower: str lowercase model name for pattern matching
# Provider detection flags (all optional, default False)
is_openrouter: bool
is_nous: bool
is_qwen_portal: bool
is_github_models: bool
is_nvidia_nim: bool
is_kimi: bool
is_custom_provider: bool
ollama_num_ctx: int | None
# Provider routing
provider_preferences: dict | None
# Qwen-specific
qwen_prepare_fn: callable | None runs AFTER codex sanitization
qwen_prepare_inplace_fn: callable | None in-place variant for deepcopied lists
# Temperature
fixed_temperature: Any from _fixed_temperature_for_model()
omit_temperature: bool
# Reasoning
supports_reasoning: bool
github_reasoning_extra: dict | None
# Claude on OpenRouter/Nous max output
anthropic_max_output: int | None
# Extra
extra_body_additions: dict | None pre-built extra_body entries
"""
# Codex sanitization: drop reasoning_items / call_id / response_item_id
sanitized = self.convert_messages(messages)
# Qwen portal prep AFTER codex sanitization. If sanitize already
# deepcopied, reuse that copy via the in-place variant to avoid a
# second deepcopy.
is_qwen = params.get("is_qwen_portal", False)
if is_qwen:
qwen_prep = params.get("qwen_prepare_fn")
qwen_prep_inplace = params.get("qwen_prepare_inplace_fn")
if sanitized is messages:
if qwen_prep is not None:
sanitized = qwen_prep(sanitized)
else:
# Already deepcopied — transform in place
if qwen_prep_inplace is not None:
qwen_prep_inplace(sanitized)
elif qwen_prep is not None:
sanitized = qwen_prep(sanitized)
# Developer role swap for GPT-5/Codex models
model_lower = params.get("model_lower", (model or "").lower())
if (
sanitized
and isinstance(sanitized[0], dict)
and sanitized[0].get("role") == "system"
and any(p in model_lower for p in DEVELOPER_ROLE_MODELS)
):
sanitized = list(sanitized)
sanitized[0] = {**sanitized[0], "role": "developer"}
api_kwargs: Dict[str, Any] = {
"model": model,
"messages": sanitized,
}
timeout = params.get("timeout")
if timeout is not None:
api_kwargs["timeout"] = timeout
# Temperature
fixed_temp = params.get("fixed_temperature")
omit_temp = params.get("omit_temperature", False)
if omit_temp:
api_kwargs.pop("temperature", None)
elif fixed_temp is not None:
api_kwargs["temperature"] = fixed_temp
# Qwen metadata (caller precomputes {sessionId, promptId})
qwen_meta = params.get("qwen_session_metadata")
if qwen_meta and is_qwen:
api_kwargs["metadata"] = qwen_meta
# Tools
if tools:
api_kwargs["tools"] = tools
# max_tokens resolution — priority: ephemeral > user > provider default
max_tokens_fn = params.get("max_tokens_param_fn")
ephemeral = params.get("ephemeral_max_output_tokens")
max_tokens = params.get("max_tokens")
anthropic_max_out = params.get("anthropic_max_output")
is_nvidia_nim = params.get("is_nvidia_nim", False)
is_kimi = params.get("is_kimi", False)
reasoning_config = params.get("reasoning_config")
if ephemeral is not None and max_tokens_fn:
api_kwargs.update(max_tokens_fn(ephemeral))
elif max_tokens is not None and max_tokens_fn:
api_kwargs.update(max_tokens_fn(max_tokens))
elif is_nvidia_nim and max_tokens_fn:
api_kwargs.update(max_tokens_fn(16384))
elif is_qwen and max_tokens_fn:
api_kwargs.update(max_tokens_fn(65536))
elif is_kimi and max_tokens_fn:
# Kimi/Moonshot: 32000 matches Kimi CLI's default
api_kwargs.update(max_tokens_fn(32000))
elif anthropic_max_out is not None:
api_kwargs["max_tokens"] = anthropic_max_out
# Kimi: top-level reasoning_effort (unless thinking disabled)
if is_kimi:
_kimi_thinking_off = bool(
reasoning_config
and isinstance(reasoning_config, dict)
and reasoning_config.get("enabled") is False
)
if not _kimi_thinking_off:
_kimi_effort = "medium"
if reasoning_config and isinstance(reasoning_config, dict):
_e = (reasoning_config.get("effort") or "").strip().lower()
if _e in ("low", "medium", "high"):
_kimi_effort = _e
api_kwargs["reasoning_effort"] = _kimi_effort
# extra_body assembly
extra_body: Dict[str, Any] = {}
is_openrouter = params.get("is_openrouter", False)
is_nous = params.get("is_nous", False)
is_github_models = params.get("is_github_models", False)
provider_prefs = params.get("provider_preferences")
if provider_prefs and is_openrouter:
extra_body["provider"] = provider_prefs
# Kimi extra_body.thinking
if is_kimi:
_kimi_thinking_enabled = True
if reasoning_config and isinstance(reasoning_config, dict):
if reasoning_config.get("enabled") is False:
_kimi_thinking_enabled = False
extra_body["thinking"] = {
"type": "enabled" if _kimi_thinking_enabled else "disabled",
}
# Reasoning
if params.get("supports_reasoning", False):
if is_github_models:
gh_reasoning = params.get("github_reasoning_extra")
if gh_reasoning is not None:
extra_body["reasoning"] = gh_reasoning
else:
if reasoning_config is not None:
rc = dict(reasoning_config)
if is_nous and rc.get("enabled") is False:
pass # omit for Nous when disabled
else:
extra_body["reasoning"] = rc
else:
extra_body["reasoning"] = {"enabled": True, "effort": "medium"}
if is_nous:
extra_body["tags"] = ["product=hermes-agent"]
# Ollama num_ctx
ollama_ctx = params.get("ollama_num_ctx")
if ollama_ctx:
options = extra_body.get("options", {})
options["num_ctx"] = ollama_ctx
extra_body["options"] = options
# Ollama/custom think=false
if params.get("is_custom_provider", False):
if reasoning_config and isinstance(reasoning_config, dict):
_effort = (reasoning_config.get("effort") or "").strip().lower()
_enabled = reasoning_config.get("enabled", True)
if _effort == "none" or _enabled is False:
extra_body["think"] = False
if is_qwen:
extra_body["vl_high_resolution_images"] = True
# Merge any pre-built extra_body additions
additions = params.get("extra_body_additions")
if additions:
extra_body.update(additions)
if extra_body:
api_kwargs["extra_body"] = extra_body
# Request overrides last (service_tier etc.)
overrides = params.get("request_overrides")
if overrides:
api_kwargs.update(overrides)
return api_kwargs
def normalize_response(self, response: Any, **kwargs) -> NormalizedResponse:
"""Normalize OpenAI ChatCompletion to NormalizedResponse.
For chat_completions, this is near-identity the response is already
in OpenAI format. extra_content on tool_calls (Gemini thought_signature)
is preserved via ToolCall.provider_data. reasoning_details (OpenRouter
unified format) and reasoning_content (DeepSeek/Moonshot) are also
preserved for downstream replay.
"""
choice = response.choices[0]
msg = choice.message
finish_reason = choice.finish_reason or "stop"
tool_calls = None
if msg.tool_calls:
tool_calls = []
for tc in msg.tool_calls:
# Preserve provider-specific extras on the tool call.
# Gemini 3 thinking models attach extra_content with
# thought_signature — without replay on the next turn the API
# rejects the request with 400.
tc_provider_data: Dict[str, Any] = {}
extra = getattr(tc, "extra_content", None)
if extra is None and hasattr(tc, "model_extra"):
extra = (tc.model_extra or {}).get("extra_content")
if extra is not None:
if hasattr(extra, "model_dump"):
try:
extra = extra.model_dump()
except Exception:
pass
tc_provider_data["extra_content"] = extra
tool_calls.append(ToolCall(
id=tc.id,
name=tc.function.name,
arguments=tc.function.arguments,
provider_data=tc_provider_data or None,
))
usage = None
if hasattr(response, "usage") and response.usage:
u = response.usage
usage = Usage(
prompt_tokens=getattr(u, "prompt_tokens", 0) or 0,
completion_tokens=getattr(u, "completion_tokens", 0) or 0,
total_tokens=getattr(u, "total_tokens", 0) or 0,
)
# Preserve reasoning fields separately. DeepSeek/Moonshot use
# ``reasoning_content``; others use ``reasoning``. Downstream code
# (_extract_reasoning, thinking-prefill retry) reads both distinctly,
# so keep them apart in provider_data rather than merging.
reasoning = getattr(msg, "reasoning", None)
reasoning_content = getattr(msg, "reasoning_content", None)
provider_data: Dict[str, Any] = {}
if reasoning_content:
provider_data["reasoning_content"] = reasoning_content
rd = getattr(msg, "reasoning_details", None)
if rd:
provider_data["reasoning_details"] = rd
return NormalizedResponse(
content=msg.content,
tool_calls=tool_calls,
finish_reason=finish_reason,
reasoning=reasoning,
usage=usage,
provider_data=provider_data or None,
)
def validate_response(self, response: Any) -> bool:
"""Check that response has valid choices."""
if response is None:
return False
if not hasattr(response, "choices") or response.choices is None:
return False
if not response.choices:
return False
return True
def extract_cache_stats(self, response: Any) -> Optional[Dict[str, int]]:
"""Extract OpenRouter/OpenAI cache stats from prompt_tokens_details."""
usage = getattr(response, "usage", None)
if usage is None:
return None
details = getattr(usage, "prompt_tokens_details", None)
if details is None:
return None
cached = getattr(details, "cached_tokens", 0) or 0
written = getattr(details, "cache_write_tokens", 0) or 0
if cached or written:
return {"cached_tokens": cached, "creation_tokens": written}
return None
# Auto-register on import
from agent.transports import register_transport # noqa: E402
register_transport("chat_completions", ChatCompletionsTransport)
-217
View File
@@ -1,217 +0,0 @@
"""OpenAI Responses API (Codex) transport.
Delegates to the existing adapter functions in agent/codex_responses_adapter.py.
This transport owns format conversion and normalization NOT client lifecycle,
streaming, or the _run_codex_stream() call path.
"""
from typing import Any, Dict, List, Optional
from agent.transports.base import ProviderTransport
from agent.transports.types import NormalizedResponse, ToolCall, Usage
class ResponsesApiTransport(ProviderTransport):
"""Transport for api_mode='codex_responses'.
Wraps the functions extracted into codex_responses_adapter.py (PR 1).
"""
@property
def api_mode(self) -> str:
return "codex_responses"
def convert_messages(self, messages: List[Dict[str, Any]], **kwargs) -> Any:
"""Convert OpenAI chat messages to Responses API input items."""
from agent.codex_responses_adapter import _chat_messages_to_responses_input
return _chat_messages_to_responses_input(messages)
def convert_tools(self, tools: List[Dict[str, Any]]) -> Any:
"""Convert OpenAI tool schemas to Responses API function definitions."""
from agent.codex_responses_adapter import _responses_tools
return _responses_tools(tools)
def build_kwargs(
self,
model: str,
messages: List[Dict[str, Any]],
tools: Optional[List[Dict[str, Any]]] = None,
**params,
) -> Dict[str, Any]:
"""Build Responses API kwargs.
Calls convert_messages and convert_tools internally.
params:
instructions: str system prompt (extracted from messages[0] if not given)
reasoning_config: dict | None {effort, enabled}
session_id: str | None used for prompt_cache_key + xAI conv header
max_tokens: int | None max_output_tokens
request_overrides: dict | None extra kwargs merged in
provider: str | None provider name for backend-specific logic
base_url: str | None endpoint URL
base_url_hostname: str | None hostname for backend detection
is_github_responses: bool Copilot/GitHub models backend
is_codex_backend: bool chatgpt.com/backend-api/codex
is_xai_responses: bool xAI/Grok backend
github_reasoning_extra: dict | None Copilot reasoning params
"""
from agent.codex_responses_adapter import (
_chat_messages_to_responses_input,
_responses_tools,
)
from run_agent import DEFAULT_AGENT_IDENTITY
instructions = params.get("instructions", "")
payload_messages = messages
if not instructions:
if messages and messages[0].get("role") == "system":
instructions = str(messages[0].get("content") or "").strip()
payload_messages = messages[1:]
if not instructions:
instructions = DEFAULT_AGENT_IDENTITY
is_github_responses = params.get("is_github_responses", False)
is_codex_backend = params.get("is_codex_backend", False)
is_xai_responses = params.get("is_xai_responses", False)
# Resolve reasoning effort
reasoning_effort = "medium"
reasoning_enabled = True
reasoning_config = params.get("reasoning_config")
if reasoning_config and isinstance(reasoning_config, dict):
if reasoning_config.get("enabled") is False:
reasoning_enabled = False
elif reasoning_config.get("effort"):
reasoning_effort = reasoning_config["effort"]
_effort_clamp = {"minimal": "low"}
reasoning_effort = _effort_clamp.get(reasoning_effort, reasoning_effort)
kwargs = {
"model": model,
"instructions": instructions,
"input": _chat_messages_to_responses_input(payload_messages),
"tools": _responses_tools(tools),
"tool_choice": "auto",
"parallel_tool_calls": True,
"store": False,
}
session_id = params.get("session_id")
if not is_github_responses and session_id:
kwargs["prompt_cache_key"] = session_id
if reasoning_enabled and is_xai_responses:
kwargs["include"] = ["reasoning.encrypted_content"]
elif reasoning_enabled:
if is_github_responses:
github_reasoning = params.get("github_reasoning_extra")
if github_reasoning is not None:
kwargs["reasoning"] = github_reasoning
else:
kwargs["reasoning"] = {"effort": reasoning_effort, "summary": "auto"}
kwargs["include"] = ["reasoning.encrypted_content"]
elif not is_github_responses and not is_xai_responses:
kwargs["include"] = []
request_overrides = params.get("request_overrides")
if request_overrides:
kwargs.update(request_overrides)
max_tokens = params.get("max_tokens")
if max_tokens is not None and not is_codex_backend:
kwargs["max_output_tokens"] = max_tokens
if is_xai_responses and session_id:
kwargs["extra_headers"] = {"x-grok-conv-id": session_id}
return kwargs
def normalize_response(self, response: Any, **kwargs) -> NormalizedResponse:
"""Normalize Codex Responses API response to NormalizedResponse."""
from agent.codex_responses_adapter import (
_normalize_codex_response,
_extract_responses_message_text,
_extract_responses_reasoning_text,
)
# _normalize_codex_response returns (SimpleNamespace, finish_reason_str)
msg, finish_reason = _normalize_codex_response(response)
tool_calls = None
if msg and msg.tool_calls:
tool_calls = []
for tc in msg.tool_calls:
provider_data = {}
if hasattr(tc, "call_id") and tc.call_id:
provider_data["call_id"] = tc.call_id
if hasattr(tc, "response_item_id") and tc.response_item_id:
provider_data["response_item_id"] = tc.response_item_id
tool_calls.append(ToolCall(
id=tc.id if hasattr(tc, "id") else (tc.function.name if hasattr(tc, "function") else None),
name=tc.function.name if hasattr(tc, "function") else getattr(tc, "name", ""),
arguments=tc.function.arguments if hasattr(tc, "function") else getattr(tc, "arguments", "{}"),
provider_data=provider_data or None,
))
# Extract reasoning items for provider_data
provider_data = {}
if msg and hasattr(msg, "codex_reasoning_items") and msg.codex_reasoning_items:
provider_data["codex_reasoning_items"] = msg.codex_reasoning_items
if msg and hasattr(msg, "reasoning_details") and msg.reasoning_details:
provider_data["reasoning_details"] = msg.reasoning_details
return NormalizedResponse(
content=msg.content if msg else None,
tool_calls=tool_calls,
finish_reason=finish_reason or "stop",
reasoning=msg.reasoning if msg and hasattr(msg, "reasoning") else None,
usage=None, # Codex usage is extracted separately in normalize_usage()
provider_data=provider_data or None,
)
def validate_response(self, response: Any) -> bool:
"""Check Codex Responses API response has valid output structure.
Returns True only if response.output is a non-empty list.
Does NOT check output_text fallback the caller handles that
with diagnostic logging for stream backfill recovery.
"""
if response is None:
return False
output = getattr(response, "output", None)
if not isinstance(output, list) or not output:
return False
return True
def preflight_kwargs(self, api_kwargs: Any, *, allow_stream: bool = False) -> dict:
"""Validate and sanitize Codex API kwargs before the call.
Normalizes input items, strips unsupported fields, validates structure.
"""
from agent.codex_responses_adapter import _preflight_codex_api_kwargs
return _preflight_codex_api_kwargs(api_kwargs, allow_stream=allow_stream)
def map_finish_reason(self, raw_reason: str) -> str:
"""Map Codex response.status to OpenAI finish_reason.
Codex uses response.status ('completed', 'incomplete') +
response.incomplete_details.reason for granular mapping.
This method handles the simple status string; the caller
should check incomplete_details separately for 'max_output_tokens'.
"""
_MAP = {
"completed": "stop",
"incomplete": "length",
"failed": "stop",
"cancelled": "stop",
}
return _MAP.get(raw_reason, "stop")
# Auto-register on import
from agent.transports import register_transport # noqa: E402
register_transport("codex_responses", ResponsesApiTransport)
-100
View File
@@ -1,100 +0,0 @@
"""Shared types for normalized provider responses.
These dataclasses define the canonical shape that all provider adapters
normalize responses to. The shared surface is intentionally minimal
only fields that every downstream consumer reads are top-level.
Protocol-specific state goes in ``provider_data`` dicts (response-level
and per-tool-call) so that protocol-aware code paths can access it
without polluting the shared type.
"""
from __future__ import annotations
import json
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional
@dataclass
class ToolCall:
"""A normalized tool call from any provider.
``id`` is the protocol's canonical identifier — what gets used in
``tool_call_id`` / ``tool_use_id`` when constructing tool result
messages. May be ``None`` when the provider omits it; the agent
fills it via ``_deterministic_call_id()`` before storing in history.
``provider_data`` carries per-tool-call protocol metadata that only
protocol-aware code reads:
* Codex: ``{"call_id": "call_XXX", "response_item_id": "fc_XXX"}``
* Gemini: ``{"extra_content": {"google": {"thought_signature": "..."}}}``
* Others: ``None``
"""
id: Optional[str]
name: str
arguments: str # JSON string
provider_data: Optional[Dict[str, Any]] = field(default=None, repr=False)
@dataclass
class Usage:
"""Token usage from an API response."""
prompt_tokens: int = 0
completion_tokens: int = 0
total_tokens: int = 0
cached_tokens: int = 0
@dataclass
class NormalizedResponse:
"""Normalized API response from any provider.
Shared fields are truly cross-provider every caller can rely on
them without branching on api_mode. Protocol-specific state goes in
``provider_data`` so that only protocol-aware code paths read it.
Response-level ``provider_data`` examples:
* Anthropic: ``{"reasoning_details": [...]}``
* Codex: ``{"codex_reasoning_items": [...]}``
* Others: ``None``
"""
content: Optional[str]
tool_calls: Optional[List[ToolCall]]
finish_reason: str # "stop", "tool_calls", "length", "content_filter"
reasoning: Optional[str] = None
usage: Optional[Usage] = None
provider_data: Optional[Dict[str, Any]] = field(default=None, repr=False)
# ---------------------------------------------------------------------------
# Factory helpers
# ---------------------------------------------------------------------------
def build_tool_call(
id: Optional[str],
name: str,
arguments: Any,
**provider_fields: Any,
) -> ToolCall:
"""Build a ``ToolCall``, auto-serialising *arguments* if it's a dict.
Any extra keyword arguments are collected into ``provider_data``.
"""
args_str = json.dumps(arguments) if isinstance(arguments, dict) else str(arguments)
pd = dict(provider_fields) if provider_fields else None
return ToolCall(id=id, name=name, arguments=args_str, provider_data=pd)
def map_finish_reason(reason: Optional[str], mapping: Dict[str, str]) -> str:
"""Translate a provider-specific stop reason to the normalised set.
Falls back to ``"stop"`` for unknown or ``None`` reasons.
"""
if reason is None:
return "stop"
return mapping.get(reason, "stop")
+1 -2
View File
@@ -6,7 +6,6 @@ from decimal import Decimal
from typing import Any, Dict, Literal, Optional
from agent.model_metadata import fetch_endpoint_model_metadata, fetch_model_metadata
from utils import base_url_host_matches
DEFAULT_PRICING = {"input": 0.0, "output": 0.0}
@@ -394,7 +393,7 @@ def resolve_billing_route(
if provider_name == "openai-codex":
return BillingRoute(provider="openai-codex", model=model, base_url=base_url or "", billing_mode="subscription_included")
if provider_name == "openrouter" or base_url_host_matches(base_url or "", "openrouter.ai"):
if provider_name == "openrouter" or "openrouter.ai" in base:
return BillingRoute(provider="openrouter", model=model, base_url=base_url or "", billing_mode="official_models_api")
if provider_name == "anthropic":
return BillingRoute(provider="anthropic", model=model.split("/")[-1], base_url=base_url or "", billing_mode="official_docs_snapshot")
+4 -5
View File
@@ -444,7 +444,6 @@ def _process_batch_worker(args: Tuple) -> Dict[str, Any]:
if not reasoning.get("has_any_reasoning", True):
print(f" 🚫 Prompt {prompt_index} discarded (no reasoning in any turn)")
discarded_no_reasoning += 1
completed_in_batch.append(prompt_index)
continue
# Get and normalize tool stats for consistent schema across all entries
@@ -1190,12 +1189,12 @@ def main(
"""
# Handle list distributions
if list_distributions:
from toolset_distributions import print_distribution_info
from toolset_distributions import list_distributions as get_all_dists, print_distribution_info
print("📊 Available Toolset Distributions")
print("=" * 70)
all_dists = list_distributions()
all_dists = get_all_dists()
for dist_name in sorted(all_dists.keys()):
print_distribution_info(dist_name)
+2 -40
View File
@@ -770,12 +770,10 @@ code_execution:
# Subagent Delegation
# =============================================================================
# The delegate_task tool spawns child agents with isolated context.
# Supports single tasks and batch mode (default 3 parallel, configurable).
# Supports single tasks and batch mode (up to 3 parallel).
delegation:
max_iterations: 50 # Max tool-calling turns per child (default: 50)
# max_concurrent_children: 3 # Max parallel child agents (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).
default_toolsets: ["terminal", "file", "web"] # Default toolsets for subagents
# model: "google/gemini-3-flash-preview" # Override model for subagents (empty = inherit parent)
# provider: "openrouter" # Override provider for subagents (empty = inherit parent)
# # Resolves full credentials (base_url, api_key) automatically.
@@ -919,39 +917,3 @@ display:
# # Names and usernames are NOT affected (user-chosen, publicly visible).
# # Routing/delivery still uses the original values internally.
# redact_pii: false
# =============================================================================
# Shell-script hooks
# =============================================================================
# Register shell scripts as plugin-hook callbacks. Each entry is executed as
# a subprocess (shell=False, shlex.split) with a JSON payload on stdin. On
# stdout the script may return JSON that either blocks the tool call or
# injects context into the next LLM call.
#
# Valid events (mirror hermes_cli.plugins.VALID_HOOKS):
# pre_tool_call, post_tool_call, pre_llm_call, post_llm_call,
# pre_api_request, post_api_request, on_session_start, on_session_end,
# on_session_finalize, on_session_reset, subagent_stop
#
# First-use consent: each (event, command) pair prompts once on a TTY, then
# is persisted to ~/.hermes/shell-hooks-allowlist.json. Non-interactive
# runs (gateway, cron) need --accept-hooks, HERMES_ACCEPT_HOOKS=1, or the
# hooks_auto_accept key below.
#
# See website/docs/user-guide/features/hooks.md for the full JSON wire
# protocol and worked examples.
#
# hooks:
# pre_tool_call:
# - matcher: "terminal"
# command: "~/.hermes/agent-hooks/block-rm-rf.sh"
# timeout: 10
# post_tool_call:
# - matcher: "write_file|patch"
# command: "~/.hermes/agent-hooks/auto-format.sh"
# pre_llm_call:
# - command: "~/.hermes/agent-hooks/inject-cwd-context.sh"
# subagent_stop:
# - command: "~/.hermes/agent-hooks/log-orchestration.sh"
#
# hooks_auto_accept: false
+99 -339
View File
@@ -19,14 +19,12 @@ import shutil
import sys
import json
import re
import concurrent.futures
import base64
import atexit
import tempfile
import time
import uuid
import textwrap
from urllib.parse import unquote, urlparse
from contextlib import contextmanager
from pathlib import Path
from datetime import datetime
@@ -67,7 +65,6 @@ from agent.usage_pricing import (
format_duration_compact,
format_token_count_compact,
)
from agent.account_usage import fetch_account_usage, render_account_usage_lines
from hermes_cli.banner import _format_context_length, format_banner_version_label
_COMMAND_SPINNER_FRAMES = ("", "", "", "", "", "", "", "", "", "")
@@ -77,7 +74,6 @@ _COMMAND_SPINNER_FRAMES = ("⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧
# User-managed env files should override stale shell exports on restart.
from hermes_constants import get_hermes_home, display_hermes_home
from hermes_cli.env_loader import load_hermes_dotenv
from utils import base_url_host_matches
_hermes_home = get_hermes_home()
_project_env = Path(__file__).parent / '.env'
@@ -371,6 +367,7 @@ def load_cli_config() -> Dict[str, Any]:
},
"delegation": {
"max_iterations": 45, # Max tool-calling turns per child agent
"default_toolsets": ["terminal", "file", "web"], # Default toolsets for subagents
"model": "", # Subagent model override (empty = inherit parent model)
"provider": "", # Subagent provider override (empty = inherit parent provider)
"base_url": "", # Direct OpenAI-compatible endpoint for subagents
@@ -531,6 +528,7 @@ def load_cli_config() -> Dict[str, Any]:
if _file_has_terminal_config or env_var not in os.environ:
val = terminal_config[config_key]
if isinstance(val, list):
import json
os.environ[env_var] = json.dumps(val)
else:
os.environ[env_var] = str(val)
@@ -914,32 +912,6 @@ def _cleanup_worktree(info: Dict[str, str] = None) -> None:
print(f"\033[32m✓ Worktree cleaned up: {wt_path}\033[0m")
def _run_state_db_auto_maintenance(session_db) -> None:
"""Call ``SessionDB.maybe_auto_prune_and_vacuum`` using current config.
Reads the ``sessions:`` section from config.yaml via
:func:`hermes_cli.config.load_config` (the authoritative loader that
deep-merges DEFAULT_CONFIG, so unmigrated configs still get default
values). Honours ``auto_prune`` / ``retention_days`` /
``vacuum_after_prune`` / ``min_interval_hours``, and delegates to the
DB. Never raises maintenance must never block interactive startup.
"""
if session_db is None:
return
try:
from hermes_cli.config import load_config as _load_full_config
cfg = (_load_full_config().get("sessions") or {})
if not cfg.get("auto_prune", False):
return
session_db.maybe_auto_prune_and_vacuum(
retention_days=int(cfg.get("retention_days", 90)),
min_interval_hours=int(cfg.get("min_interval_hours", 24)),
vacuum=bool(cfg.get("vacuum_after_prune", True)),
)
except Exception as exc:
logger.debug("state.db auto-maintenance skipped: %s", exc)
def _prune_stale_worktrees(repo_root: str, max_age_hours: int = 24) -> None:
"""Remove stale worktrees and orphaned branches on startup.
@@ -1171,6 +1143,8 @@ def _rich_text_from_ansi(text: str) -> _RichText:
def _strip_markdown_syntax(text: str) -> str:
"""Best-effort markdown marker removal for plain-text display."""
import re
plain = _rich_text_from_ansi(text or "").plain
plain = re.sub(r"^\s{0,3}(?:[-*_]\s*){3,}$", "", plain, flags=re.MULTILINE)
plain = re.sub(r"^\s{0,3}#{1,6}\s+", "", plain, flags=re.MULTILINE)
@@ -1180,11 +1154,11 @@ def _strip_markdown_syntax(text: str) -> str:
plain = re.sub(r"!\[([^\]]*)\]\([^\)]*\)", r"\1", plain)
plain = re.sub(r"\[([^\]]+)\]\([^\)]*\)", r"\1", plain)
plain = re.sub(r"\*\*\*([^*]+)\*\*\*", r"\1", plain)
plain = re.sub(r"(?<!\w)___([^_]+)___(?!\w)", r"\1", plain)
plain = re.sub(r"___([^_]+)___", r"\1", plain)
plain = re.sub(r"\*\*([^*]+)\*\*", r"\1", plain)
plain = re.sub(r"(?<!\w)__([^_]+)__(?!\w)", r"\1", plain)
plain = re.sub(r"__([^_]+)__", r"\1", plain)
plain = re.sub(r"\*([^*]+)\*", r"\1", plain)
plain = re.sub(r"(?<!\w)_([^_]+)_(?!\w)", r"\1", plain)
plain = re.sub(r"_([^_]+)_", r"\1", plain)
plain = re.sub(r"~~([^~]+)~~", r"\1", plain)
plain = re.sub(r"\n{3,}", "\n\n", plain)
return plain.strip("\n")
@@ -1297,21 +1271,10 @@ def _resolve_attachment_path(raw_path: str) -> Path | None:
if (token.startswith('"') and token.endswith('"')) or (token.startswith("'") and token.endswith("'")):
token = token[1:-1].strip()
token = token.replace('\\ ', ' ')
if not token:
return None
expanded = token
if token.startswith("file://"):
try:
parsed = urlparse(token)
if parsed.scheme == "file":
expanded = unquote(parsed.path or "")
if parsed.netloc and os.name == "nt":
expanded = f"//{parsed.netloc}{expanded}"
except Exception:
expanded = token
expanded = os.path.expandvars(os.path.expanduser(expanded))
expanded = os.path.expandvars(os.path.expanduser(token))
if os.name != "nt":
normalized = expanded.replace("\\", "/")
if len(normalized) >= 3 and normalized[1] == ":" and normalized[2] == "/" and normalized[0].isalpha():
@@ -1398,7 +1361,6 @@ def _detect_file_drop(user_input: str) -> "dict | None":
or stripped.startswith("~")
or stripped.startswith("./")
or stripped.startswith("../")
or stripped.startswith("file://")
or (len(stripped) >= 3 and stripped[1] == ":" and stripped[2] in ("\\", "/") and stripped[0].isalpha())
or stripped.startswith('"/')
or stripped.startswith('"~')
@@ -1409,25 +1371,8 @@ def _detect_file_drop(user_input: str) -> "dict | None":
if not starts_like_path:
return None
direct_path = _resolve_attachment_path(stripped)
if direct_path is not None:
return {
"path": direct_path,
"is_image": direct_path.suffix.lower() in _IMAGE_EXTENSIONS,
"remainder": "",
}
first_token, remainder = _split_path_input(stripped)
drop_path = _resolve_attachment_path(first_token)
if drop_path is None and " " in stripped and stripped[0] not in {"'", '"'}:
space_positions = [idx for idx, ch in enumerate(stripped) if ch == " "]
for pos in reversed(space_positions):
candidate = stripped[:pos].rstrip()
resolved = _resolve_attachment_path(candidate)
if resolved is not None:
drop_path = resolved
remainder = stripped[pos + 1 :].strip()
break
if drop_path is None:
return None
@@ -1891,7 +1836,7 @@ class HermesCLI:
# Match key to resolved base_url: OpenRouter URL → prefer OPENROUTER_API_KEY,
# custom endpoint → prefer OPENAI_API_KEY (issue #560).
# Note: _ensure_runtime_credentials() re-resolves this before first use.
if self.base_url and base_url_host_matches(self.base_url, "openrouter.ai"):
if self.base_url and "openrouter.ai" in self.base_url:
self.api_key = api_key or os.getenv("OPENROUTER_API_KEY") or os.getenv("OPENAI_API_KEY")
else:
self.api_key = api_key or os.getenv("OPENAI_API_KEY") or os.getenv("OPENROUTER_API_KEY")
@@ -1987,13 +1932,7 @@ class HermesCLI:
self._session_db = SessionDB()
except Exception as e:
logger.warning("Failed to initialize SessionDB — session will NOT be indexed for search: %s", e)
# Opportunistic state.db maintenance — runs at most once per
# min_interval_hours, tracked via state_meta in state.db itself so
# it's shared across all Hermes processes for this HERMES_HOME.
# Never blocks startup on failure.
_run_state_db_auto_maintenance(self._session_db)
# Deferred title: stored in memory until the session is created in the DB
self._pending_title: Optional[str] = None
@@ -2062,7 +2001,8 @@ class HermesCLI:
def _invalidate(self, min_interval: float = 0.25) -> None:
"""Throttled UI repaint — prevents terminal blinking on slow/SSH connections."""
now = time.monotonic()
import time as _time
now = _time.monotonic()
if hasattr(self, "_app") and self._app and (now - self._last_invalidate) >= min_interval:
self._last_invalidate = now
self._app.invalidate()
@@ -2280,7 +2220,8 @@ class HermesCLI:
return ""
t0 = getattr(self, "_tool_start_time", 0) or 0
if t0 > 0:
elapsed = time.monotonic() - t0
import time as _time
elapsed = _time.monotonic() - t0
if elapsed >= 60:
_m, _s = int(elapsed // 60), int(elapsed % 60)
elapsed_str = f"{_m}m {_s}s"
@@ -2535,6 +2476,9 @@ class HermesCLI:
def _emit_reasoning_preview(self, reasoning_text: str) -> None:
"""Render a buffered reasoning preview as a single [thinking] block."""
import re
import textwrap
preview_text = reasoning_text.strip()
if not preview_text:
return
@@ -2653,7 +2597,9 @@ class HermesCLI:
"""Expand [Pasted text #N -> file] placeholders into file contents."""
if not isinstance(text, str) or "[Pasted text #" not in text:
return text or ""
paste_ref_re = re.compile(r'\[Pasted text #\d+: \d+ lines \u2192 (.+?)\]')
import re as _re
paste_ref_re = _re.compile(r'\[Pasted text #\d+: \d+ lines \u2192 (.+?)\]')
def _expand_ref(match):
path = Path(match.group(1))
@@ -2976,7 +2922,9 @@ class HermesCLI:
def _command_spinner_frame(self) -> str:
"""Return the current spinner frame for slow slash commands."""
frame_idx = int(time.monotonic() * 10) % len(_COMMAND_SPINNER_FRAMES)
import time as _time
frame_idx = int(_time.monotonic() * 10) % len(_COMMAND_SPINNER_FRAMES)
return _COMMAND_SPINNER_FRAMES[frame_idx]
@contextmanager
@@ -3987,6 +3935,7 @@ class HermesCLI:
image later with ``vision_analyze`` if needed.
"""
import asyncio as _asyncio
import json as _json
from tools.vision_tools import vision_analyze_tool
analysis_prompt = (
@@ -4006,7 +3955,7 @@ class HermesCLI:
result_json = _asyncio.run(
vision_analyze_tool(image_url=str(img_path), user_prompt=analysis_prompt)
)
result = json.loads(result_json)
result = _json.loads(result_json)
if result.get("success"):
description = result.get("analysis", "")
enriched_parts.append(
@@ -4261,37 +4210,8 @@ class HermesCLI:
"""
import shlex
from argparse import Namespace
from contextlib import redirect_stdout
from io import StringIO
from hermes_cli.tools_config import tools_disable_enable_command
def _run_capture(ns: Namespace) -> None:
"""Run tools_disable_enable_command, routing its ANSI-colored
print() output through _cprint when inside the interactive TUI
so escapes aren't mangled by patch_stdout's StdoutProxy into
garbled '?[32m...?[0m' text.
Outside the TUI (standalone mode, tests), call straight through
so real stdout / pytest capture works as expected.
"""
# Standalone/tests, run as usual
if getattr(self, "_app", None) is None:
tools_disable_enable_command(ns)
return
# Buffer reports isatty()=True so color() in hermes_cli/colors.py
# still emits ANSI escapes. StringIO.isatty() is False, which
# would otherwise strip all colors before we re-render them.
class _TTYBuf(StringIO):
def isatty(self) -> bool:
return True
buf = _TTYBuf()
with redirect_stdout(buf):
tools_disable_enable_command(ns)
for line in buf.getvalue().splitlines():
_cprint(line)
try:
parts = shlex.split(cmd)
except ValueError:
@@ -4303,7 +4223,8 @@ class HermesCLI:
return
if subcommand == "list":
_run_capture(Namespace(tools_action="list", platform="cli"))
tools_disable_enable_command(
Namespace(tools_action="list", platform="cli"))
return
names = parts[2:]
@@ -4320,7 +4241,8 @@ class HermesCLI:
label = ", ".join(names)
_cprint(f"{_ACCENT}{verb} {label}...{_RST}")
_run_capture(Namespace(tools_action=subcommand, names=names, platform="cli"))
tools_disable_enable_command(
Namespace(tools_action=subcommand, names=names, platform="cli"))
# Reset session so the new tool config is picked up from a clean state
from hermes_cli.tools_config import _get_platform_tools
@@ -5047,7 +4969,7 @@ class HermesCLI:
pass
cache_enabled = (
(base_url_host_matches(result.base_url or "", "openrouter.ai") and "claude" in result.new_model.lower())
("openrouter" in (result.base_url or "").lower() and "claude" in result.new_model.lower())
or result.api_mode == "anthropic_messages"
)
if cache_enabled:
@@ -5275,7 +5197,7 @@ class HermesCLI:
# Cache notice
cache_enabled = (
(base_url_host_matches(result.base_url or "", "openrouter.ai") and "claude" in result.new_model.lower())
("openrouter" in (result.base_url or "").lower() and "claude" in result.new_model.lower())
or result.api_mode == "anthropic_messages"
)
if cache_enabled:
@@ -5306,30 +5228,6 @@ class HermesCLI:
except Exception:
return False
def _should_handle_steer_command_inline(self, text: str, has_images: bool = False) -> bool:
"""Return True when /steer should be dispatched immediately while the agent is running.
/steer MUST bypass the normal _pending_input process_loop path when
the agent is active, because process_loop is blocked inside
self.chat() for the duration of the run. By the time the queued
command is pulled from _pending_input, _agent_running has already
flipped back to False, and process_command() takes the idle
fallback delivering the steer as a next-turn message instead of
injecting it mid-run. Dispatching inline on the UI thread calls
agent.steer() directly, which is thread-safe (uses _pending_steer_lock).
"""
if not text or has_images or not _looks_like_slash_command(text):
return False
if not getattr(self, "_agent_running", False):
return False
try:
from hermes_cli.commands import resolve_command
base = text.split(None, 1)[0].lower().lstrip('/')
cmd = resolve_command(base)
return bool(cmd and cmd.name == "steer")
except Exception:
return False
def _show_model_and_providers(self):
"""Show current model + provider and list all authenticated providers.
@@ -6332,7 +6230,8 @@ class HermesCLI:
# with the output (fixes #2718).
if self._app:
self._app.invalidate()
time.sleep(0.05) # brief pause for refresh
import time as _tmod
_tmod.sleep(0.05) # brief pause for refresh
print()
ChatConsole().print(f"[{_accent_hex()}]{'' * 40}[/]")
_cprint(f" ✅ Background task #{task_num} complete")
@@ -6372,7 +6271,8 @@ class HermesCLI:
# Same TUI refresh pattern as success path (#2718)
if self._app:
self._app.invalidate()
time.sleep(0.05)
import time as _tmod
_tmod.sleep(0.05)
print()
_cprint(f" ❌ Background task #{task_num} failed: {e}")
finally:
@@ -6592,6 +6492,7 @@ class HermesCLI:
_launched = self._try_launch_chrome_debug(_port, _plat.system())
if _launched:
# Wait for the port to come up
import time as _time
for _wait in range(10):
try:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
@@ -6601,7 +6502,7 @@ class HermesCLI:
_already_open = True
break
except (OSError, socket.timeout):
time.sleep(0.5)
_time.sleep(0.5)
if _already_open:
print(f" ✓ Chrome launched and listening on port {_port}")
else:
@@ -7081,27 +6982,6 @@ class HermesCLI:
if cost_result.status == "unknown":
print(f" Note: Pricing unknown for {agent.model}")
# Account limits -- fetched off-thread with a hard timeout so slow
# provider APIs don't hang the prompt.
provider = getattr(agent, "provider", None) or getattr(self, "provider", None)
base_url = getattr(agent, "base_url", None) or getattr(self, "base_url", None)
api_key = getattr(agent, "api_key", None) or getattr(self, "api_key", None)
account_snapshot = None
if provider:
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as _pool:
try:
account_snapshot = _pool.submit(
fetch_account_usage, provider,
base_url=base_url, api_key=api_key,
).result(timeout=10.0)
except (concurrent.futures.TimeoutError, Exception):
account_snapshot = None
account_lines = [f" {line}" for line in render_account_usage_lines(account_snapshot)]
if account_lines:
print()
for line in account_lines:
print(line)
if self.verbose:
logging.getLogger().setLevel(logging.DEBUG)
for noisy in ('openai', 'openai._base_client', 'httpx', 'httpcore', 'asyncio', 'hpack', 'grpc', 'modal'):
@@ -7152,6 +7032,7 @@ class HermesCLI:
known state. When a change is detected, triggers _reload_mcp() and
informs the user so they know the tool list has been refreshed.
"""
import time
import yaml as _yaml
CONFIG_WATCH_INTERVAL = 5.0 # seconds between config.yaml stat() calls
@@ -7243,6 +7124,7 @@ class HermesCLI:
# Refresh the agent's tool list so the model can call new tools
if self.agent is not None:
from model_tools import get_tool_definitions
self.agent.tools = get_tool_definitions(
enabled_toolsets=self.agent.enabled_toolsets
if hasattr(self.agent, "enabled_toolsets") else None,
@@ -7325,6 +7207,7 @@ class HermesCLI:
full history of tool calls (not just the current one in the spinner).
"""
if event_type == "tool.completed":
import time as _time
self._tool_start_time = 0.0
# Print stacked scrollback line for "all" / "new" modes
if function_name and self.tool_progress_mode in ("all", "new"):
@@ -7353,6 +7236,7 @@ class HermesCLI:
if event_type != "tool.started":
return
if function_name and not function_name.startswith("_"):
import time as _time
from agent.display import get_tool_emoji
emoji = get_tool_emoji(function_name)
label = preview or function_name
@@ -7361,7 +7245,7 @@ class HermesCLI:
if _pl > 0 and len(label) > _pl:
label = label[:_pl - 3] + "..."
self._spinner_text = f"{emoji} {label}"
self._tool_start_time = time.monotonic()
self._tool_start_time = _time.monotonic()
# Store args for stacked scrollback line on completion
self._pending_tool_info.setdefault(function_name, []).append(
function_args if function_args is not None else {}
@@ -7478,12 +7362,11 @@ class HermesCLI:
self._voice_stop_and_transcribe()
# Audio cue: single beep BEFORE starting stream (avoid CoreAudio conflict)
if self._voice_beeps_enabled():
try:
from tools.voice_mode import play_beep
play_beep(frequency=880, count=1)
except Exception:
pass
try:
from tools.voice_mode import play_beep
play_beep(frequency=880, count=1)
except Exception:
pass
try:
self._voice_recorder.start(on_silence_stop=_on_silence)
@@ -7531,12 +7414,11 @@ class HermesCLI:
wav_path = self._voice_recorder.stop()
# Audio cue: double beep after stream stopped (no CoreAudio conflict)
if self._voice_beeps_enabled():
try:
from tools.voice_mode import play_beep
play_beep(frequency=660, count=2)
except Exception:
pass
try:
from tools.voice_mode import play_beep
play_beep(frequency=660, count=2)
except Exception:
pass
if wav_path is None:
_cprint(f"{_DIM}No speech detected.{_RST}")
@@ -7619,6 +7501,7 @@ class HermesCLI:
try:
from tools.tts_tool import text_to_speech_tool
from tools.voice_mode import play_audio_file
import re
# Strip markdown and non-speech content for cleaner TTS
tts_text = text[:4000] if len(text) > 4000 else text
@@ -7686,17 +7569,6 @@ class HermesCLI:
_cprint(f"Unknown voice subcommand: {subcommand}")
_cprint("Usage: /voice [on|off|tts|status]")
def _voice_beeps_enabled(self) -> bool:
"""Return whether CLI voice mode should play record start/stop beeps."""
try:
from hermes_cli.config import load_config
voice_cfg = load_config().get("voice", {})
if isinstance(voice_cfg, dict):
return bool(voice_cfg.get("beep_enabled", True))
except Exception:
pass
return True
def _enable_voice_mode(self):
"""Enable voice mode after checking requirements."""
if self._voice_mode:
@@ -8006,9 +7878,7 @@ class HermesCLI:
return
selected = state.get("selected", 0)
choices = state.get("choices")
if not isinstance(choices, list):
choices = []
choices = state.get("choices") or []
if not (0 <= selected < len(choices)):
return
@@ -8100,18 +7970,8 @@ class HermesCLI:
choice_wrapped: list[tuple[int, str]] = []
for i, choice in enumerate(choices):
label = choice_labels.get(choice, choice)
# Show number prefix for quick selection (1-9 for items 1-9, 0 for 10th item)
if i < 9:
num_prefix = str(i + 1)
elif i == 9:
num_prefix = '0'
else:
num_prefix = ' ' # No number for items beyond 10th
if i == selected:
prefix = f' {num_prefix}. '
else:
prefix = f' {num_prefix}. '
for wrapped in _wrap_panel_text(f"{prefix}{label}", inner_text_width, subsequent_indent=" "):
prefix = ' ' if i == selected else ' '
for wrapped in _wrap_panel_text(f"{prefix}{label}", inner_text_width, subsequent_indent=" "):
choice_wrapped.append((i, wrapped))
# Budget vertical space so HSplit never clips the command or choices.
@@ -8402,17 +8262,6 @@ class HermesCLI:
def run_agent():
nonlocal result
# Set callbacks inside the agent thread so thread-local storage
# in terminal_tool is populated for this thread. The main thread
# registration (run() line ~9046) is invisible here because
# _callback_tls is threading.local(). Matches the pattern used
# by acp_adapter/server.py for ACP sessions.
set_sudo_password_callback(self._sudo_password_callback)
set_approval_callback(self._approval_callback)
try:
set_secret_capture_callback(self._secret_capture_callback)
except Exception:
pass
agent_message = _voice_prefix + message if _voice_prefix else message
# Prepend pending model switch note so the model knows about the switch
_msn = getattr(self, '_pending_model_switch_note', None)
@@ -8438,15 +8287,6 @@ class HermesCLI:
"failed": True,
"error": _summary,
}
finally:
# Clear thread-local callbacks so a reused thread doesn't
# hold stale references to a disposed CLI instance.
try:
set_sudo_password_callback(None)
set_approval_callback(None)
set_secret_capture_callback(None)
except Exception:
pass
# Start agent in background thread (daemon so it cannot keep the
# process alive when the user closes the terminal tab — SIGHUP
@@ -8484,7 +8324,8 @@ class HermesCLI:
try:
_dbg = _hermes_home / "interrupt_debug.log"
with open(_dbg, "a") as _f:
_f.write(f"{time.strftime('%H:%M:%S')} interrupt fired: msg={str(interrupt_msg)[:60]!r}, "
import time as _t
_f.write(f"{_t.strftime('%H:%M:%S')} interrupt fired: msg={str(interrupt_msg)[:60]!r}, "
f"children={len(self.agent._active_children)}, "
f"parent._interrupt={self.agent._interrupt_requested}\n")
for _ci, _ch in enumerate(self.agent._active_children):
@@ -8560,8 +8401,9 @@ class HermesCLI:
# buffer so tool/status lines render ABOVE our response box.
# The flush pushes data into the renderer queue; the short
# sleep lets the renderer actually paint it before we draw.
import time as _time
sys.stdout.flush()
time.sleep(0.15)
_time.sleep(0.15)
# Update history with full conversation
self.conversation_history = result.get("messages", self.conversation_history) if result else self.conversation_history
@@ -9198,17 +9040,6 @@ class HermesCLI:
event.app.current_buffer.reset(append_to_history=True)
return
# Handle /steer while the agent is running immediately on the
# UI thread. Queuing through _pending_input would deadlock the
# steer until after the agent loop finishes (process_loop is
# blocked inside self.chat()), which turns /steer into a
# post-run next-turn message — defeating mid-run injection.
# agent.steer() is thread-safe (holds _pending_steer_lock).
if self._should_handle_steer_command_inline(text, has_images=has_images):
self.process_command(text)
event.app.current_buffer.reset(append_to_history=True)
return
# Snapshot and clear attached images
images = list(self._attached_images)
self._attached_images.clear()
@@ -9227,7 +9058,8 @@ class HermesCLI:
try:
_dbg = _hermes_home / "interrupt_debug.log"
with open(_dbg, "a") as _f:
_f.write(f"{time.strftime('%H:%M:%S')} ENTER: queued interrupt msg={str(payload)[:60]!r}, "
import time as _t
_f.write(f"{_t.strftime('%H:%M:%S')} ENTER: queued interrupt msg={str(payload)[:60]!r}, "
f"agent_running={self._agent_running}\n")
except Exception:
pass
@@ -9306,29 +9138,6 @@ class HermesCLI:
self._clarify_state["selected"] = min(max_idx, self._clarify_state["selected"] + 1)
event.app.invalidate()
# Number keys for quick clarify selection (1-9, 0 for 10th item)
def _make_clarify_number_handler(idx):
def handler(event):
if self._clarify_state and not self._clarify_freetext:
choices = self._clarify_state.get("choices") or []
# Map index to choice (treating "Other" as the last option)
if idx < len(choices):
# Select a numbered choice
self._clarify_state["response_queue"].put(choices[idx])
self._clarify_state = None
self._clarify_freetext = False
event.app.invalidate()
elif idx == len(choices):
# Select "Other" option
self._clarify_freetext = True
event.app.invalidate()
return handler
for _num in range(10):
# 1-9 select items 0-8, 0 selects item 9 (10thitem)
_idx = 9 if _num == 0 else _num - 1
kb.add(str(_num), filter=Condition(lambda: bool(self._clarify_state) and not self._clarify_freetext))(_make_clarify_number_handler(_idx))
# --- Dangerous command approval: arrow-key navigation ---
@kb.add('up', filter=Condition(lambda: bool(self._approval_state)))
@@ -9370,20 +9179,6 @@ class HermesCLI:
event.app.current_buffer.reset()
event.app.invalidate()
# Number keys for quick approval selection (1-9, 0 for 10th item)
def _make_approval_number_handler(idx):
def handler(event):
if self._approval_state and idx < len(self._approval_state["choices"]):
self._approval_state["selected"] = idx
self._handle_approval_selection()
event.app.invalidate()
return handler
for _num in range(10):
# 1-9 select items 0-8, 0 selects item 9 (10th item)
_idx = 9 if _num == 0 else _num - 1
kb.add(str(_num), filter=Condition(lambda: bool(self._approval_state)))(_make_approval_number_handler(_idx))
# --- History navigation: up/down browse history in normal input mode ---
# The TextArea is multiline, so by default up/down only move the cursor.
# Buffer.auto_up/auto_down handle both: cursor movement when multi-line,
@@ -9412,7 +9207,8 @@ class HermesCLI:
2. Interrupt the running agent (first press)
3. Force exit (second press within 2s, or when idle)
"""
now = time.time()
import time as _time
now = _time.time()
# Cancel active voice recording.
# Run cancel() in a background thread to prevent blocking the
@@ -9520,11 +9316,12 @@ class HermesCLI:
@kb.add('c-z')
def handle_ctrl_z(event):
"""Handle Ctrl+Z - suspend process to background (Unix only)."""
import sys
if sys.platform == 'win32':
_cprint(f"\n{_DIM}Suspend (Ctrl+Z) is not supported on Windows.{_RST}")
event.app.invalidate()
return
import signal as _sig
import os, signal as _sig
from prompt_toolkit.application import run_in_terminal
from hermes_cli.skin_engine import get_active_skin
agent_name = get_active_skin().get_branding("agent_name", "Hermes Agent")
@@ -9838,29 +9635,31 @@ class HermesCLI:
# extra instructions (sudo countdown, approval navigation, clarify).
# The agent-running interrupt hint is now an inline placeholder above.
def get_hint_text():
import time as _time
if cli_ref._sudo_state:
remaining = max(0, int(cli_ref._sudo_deadline - time.monotonic()))
remaining = max(0, int(cli_ref._sudo_deadline - _time.monotonic()))
return [
('class:hint', ' password hidden · Enter to skip'),
('class:clarify-countdown', f' ({remaining}s)'),
]
if cli_ref._secret_state:
remaining = max(0, int(cli_ref._secret_deadline - time.monotonic()))
remaining = max(0, int(cli_ref._secret_deadline - _time.monotonic()))
return [
('class:hint', ' secret hidden · Enter to skip'),
('class:clarify-countdown', f' ({remaining}s)'),
]
if cli_ref._approval_state:
remaining = max(0, int(cli_ref._approval_deadline - time.monotonic()))
remaining = max(0, int(cli_ref._approval_deadline - _time.monotonic()))
return [
('class:hint', ' ↑/↓ to select, Enter to confirm'),
('class:clarify-countdown', f' ({remaining}s)'),
]
if cli_ref._clarify_state:
remaining = max(0, int(cli_ref._clarify_deadline - time.monotonic()))
remaining = max(0, int(cli_ref._clarify_deadline - _time.monotonic()))
countdown = f' ({remaining}s)' if cli_ref._clarify_deadline else ''
if cli_ref._clarify_freetext:
return [
@@ -9952,32 +9751,14 @@ class HermesCLI:
selected = state.get("selected", 0)
preview_lines = _wrap_panel_text(question, 60)
for i, choice in enumerate(choices):
# Show number prefix for quick selection (1-9 for items 1-9, 0 for 10th item)
if i < 9:
num_prefix = str(i + 1)
elif i == 9:
num_prefix = '0'
else:
num_prefix = ' '
if i == selected and not cli_ref._clarify_freetext:
prefix = f" {num_prefix}. "
else:
prefix = f" {num_prefix}. "
preview_lines.extend(_wrap_panel_text(f"{prefix}{choice}", 60, subsequent_indent=" "))
# "Other" option in preview
other_num = len(choices) + 1
if other_num < 10:
other_num_prefix = str(other_num)
elif other_num == 10:
other_num_prefix = '0'
else:
other_num_prefix = ' '
prefix = " " if i == selected and not cli_ref._clarify_freetext else " "
preview_lines.extend(_wrap_panel_text(f"{prefix}{choice}", 60, subsequent_indent=" "))
other_label = (
f" {other_num_prefix}. Other (type below)" if cli_ref._clarify_freetext
else f" {other_num_prefix}. Other (type your answer)" if selected == len(choices)
else f" {other_num_prefix}. Other (type your answer)"
" Other (type below)" if cli_ref._clarify_freetext
else " Other (type your answer)" if selected == len(choices)
else " Other (type your answer)"
)
preview_lines.extend(_wrap_panel_text(other_label, 60, subsequent_indent=" "))
preview_lines.extend(_wrap_panel_text(other_label, 60, subsequent_indent=" "))
box_width = _panel_box_width("Hermes needs your input", preview_lines)
inner_text_width = max(8, box_width - 2)
@@ -9985,35 +9766,18 @@ class HermesCLI:
choice_wrapped: list[tuple[int, str]] = []
if choices:
for i, choice in enumerate(choices):
# Show number prefix for quick selection (1-9 for items 1-9, 0 for 10th item)
if i < 9:
num_prefix = str(i + 1)
elif i == 9:
num_prefix = '0'
else:
num_prefix = ' '
if i == selected and not cli_ref._clarify_freetext:
prefix = f' {num_prefix}. '
else:
prefix = f' {num_prefix}. '
for wrapped in _wrap_panel_text(f"{prefix}{choice}", inner_text_width, subsequent_indent=" "):
prefix = ' ' if i == selected and not cli_ref._clarify_freetext else ' '
for wrapped in _wrap_panel_text(f"{prefix}{choice}", inner_text_width, subsequent_indent=" "):
choice_wrapped.append((i, wrapped))
# Trailing Other row(s)
other_idx = len(choices)
other_num = other_idx + 1
if other_num < 10:
other_num_prefix = str(other_num)
elif other_num == 10:
other_num_prefix = '0'
else:
other_num_prefix = ' '
if selected == other_idx and not cli_ref._clarify_freetext:
other_label_mand = f' {other_num_prefix}. Other (type your answer)'
other_label_mand = ' Other (type your answer)'
elif cli_ref._clarify_freetext:
other_label_mand = f' {other_num_prefix}. Other (type below)'
other_label_mand = ' Other (type below)'
else:
other_label_mand = f' {other_num_prefix}. Other (type your answer)'
other_wrapped = _wrap_panel_text(other_label_mand, inner_text_width, subsequent_indent=" ")
other_label_mand = ' Other (type your answer)'
other_wrapped = _wrap_panel_text(other_label_mand, inner_text_width, subsequent_indent=" ")
elif cli_ref._clarify_freetext:
# Freetext-only mode: the guidance line takes the place of choices.
other_wrapped = _wrap_panel_text(
@@ -10078,15 +9842,6 @@ class HermesCLI:
# "Other" option (trailing row(s), only shown when choices exist)
other_idx = len(choices)
# Calculate number prefix for "Other" option
other_num = other_idx + 1
if other_num < 10:
other_num_prefix = str(other_num)
elif other_num == 10:
other_num_prefix = '0'
else:
other_num_prefix = ' '
if selected == other_idx and not cli_ref._clarify_freetext:
other_style = 'class:clarify-selected'
elif cli_ref._clarify_freetext:
@@ -10194,8 +9949,7 @@ class HermesCLI:
if stage == "provider":
title = "⚙ Model Picker — Select Provider"
choices = []
_providers = state.get("providers")
for p in _providers if isinstance(_providers, list) else []:
for p in state.get("providers") or []:
count = p.get("total_models", len(p.get("models", [])))
label = f"{p['name']} ({count} model{'s' if count != 1 else ''})"
if p.get("is_current"):
@@ -10452,20 +10206,22 @@ class HermesCLI:
app._on_resize = _resize_clear_ghosts
def spinner_loop():
import time as _time
last_idle_refresh = 0.0
while not self._should_exit:
if not self._app:
time.sleep(0.1)
_time.sleep(0.1)
continue
if self._command_running:
self._invalidate(min_interval=0.1)
time.sleep(0.1)
_time.sleep(0.1)
else:
now = time.monotonic()
now = _time.monotonic()
if now - last_idle_refresh >= 1.0:
last_idle_refresh = now
self._invalidate(min_interval=1.0)
time.sleep(0.2)
_time.sleep(0.2)
spinner_thread = threading.Thread(target=spinner_loop, daemon=True)
spinner_thread.start()
@@ -10534,7 +10290,8 @@ class HermesCLI:
continue
# Expand paste references back to full content
_paste_ref_re = re.compile(r'\[Pasted text #\d+: \d+ lines \u2192 (.+?)\]')
import re as _re
_paste_ref_re = _re.compile(r'\[Pasted text #\d+: \d+ lines \u2192 (.+?)\]')
paste_refs = list(_paste_ref_re.finditer(user_input)) if isinstance(user_input, str) else []
if paste_refs:
user_input = self._expand_paste_references(user_input)
@@ -10626,12 +10383,13 @@ class HermesCLI:
try:
if getattr(self, "agent", None) and getattr(self, "_agent_running", False):
self.agent.interrupt(f"received signal {signum}")
import time as _t
try:
_grace = float(os.getenv("HERMES_SIGTERM_GRACE", "1.5"))
except (TypeError, ValueError):
_grace = 1.5
if _grace > 0:
time.sleep(_grace)
_t.sleep(_grace)
except Exception:
pass # never block signal handling
raise KeyboardInterrupt()
@@ -10664,7 +10422,8 @@ class HermesCLI:
# uv-managed Python, fd 0 can be invalid or unregisterable with the
# asyncio selector, causing "KeyError: '0 is not registered'" (#6393).
try:
os.fstat(0)
import os as _os
_os.fstat(0)
except OSError:
print(
"Error: stdin (fd 0) is not available.\n"
@@ -10957,12 +10716,13 @@ def main(
_agent = getattr(cli, "agent", None)
if _agent is not None:
_agent.interrupt(f"received signal {signum}")
import time as _t
try:
_grace = float(os.getenv("HERMES_SIGTERM_GRACE", "1.5"))
except (TypeError, ValueError):
_grace = 1.5
if _grace > 0:
time.sleep(_grace)
_t.sleep(_grace)
except Exception:
pass # never block signal handling
raise KeyboardInterrupt()
+46 -54
View File
@@ -9,7 +9,6 @@ import copy
import json
import logging
import tempfile
import threading
import os
import re
import uuid
@@ -35,11 +34,6 @@ except ImportError:
HERMES_DIR = get_hermes_home().resolve()
CRON_DIR = HERMES_DIR / "cron"
JOBS_FILE = CRON_DIR / "jobs.json"
# In-process lock protecting load_jobs→modify→save_jobs cycles.
# Required when tick() runs jobs in parallel threads — without this,
# concurrent mark_job_run / advance_next_run calls can clobber each other.
_jobs_file_lock = threading.Lock()
OUTPUT_DIR = CRON_DIR / "output"
ONESHOT_GRACE_SECONDS = 120
@@ -600,44 +594,43 @@ def mark_job_run(job_id: str, success: bool, error: Optional[str] = None,
``delivery_error`` is tracked separately from the agent error a job
can succeed (agent produced output) but fail delivery (platform down).
"""
with _jobs_file_lock:
jobs = load_jobs()
for i, job in enumerate(jobs):
if job["id"] == job_id:
now = _hermes_now().isoformat()
job["last_run_at"] = now
job["last_status"] = "ok" if success else "error"
job["last_error"] = error if not success else None
# Track delivery failures separately — cleared on successful delivery
job["last_delivery_error"] = delivery_error
jobs = load_jobs()
for i, job in enumerate(jobs):
if job["id"] == job_id:
now = _hermes_now().isoformat()
job["last_run_at"] = now
job["last_status"] = "ok" if success else "error"
job["last_error"] = error if not success else None
# Track delivery failures separately — cleared on successful delivery
job["last_delivery_error"] = delivery_error
# Increment completed count
if job.get("repeat"):
job["repeat"]["completed"] = job["repeat"].get("completed", 0) + 1
# Increment completed count
if job.get("repeat"):
job["repeat"]["completed"] = job["repeat"].get("completed", 0) + 1
# Check if we've hit the repeat limit
times = job["repeat"].get("times")
completed = job["repeat"]["completed"]
if times is not None and times > 0 and completed >= times:
# Remove the job (limit reached)
jobs.pop(i)
save_jobs(jobs)
return
# Compute next run
job["next_run_at"] = compute_next_run(job["schedule"], now)
# Check if we've hit the repeat limit
times = job["repeat"].get("times")
completed = job["repeat"]["completed"]
if times is not None and times > 0 and completed >= times:
# Remove the job (limit reached)
jobs.pop(i)
save_jobs(jobs)
return
# Compute next run
job["next_run_at"] = compute_next_run(job["schedule"], now)
# If no next run (one-shot completed), disable
if job["next_run_at"] is None:
job["enabled"] = False
job["state"] = "completed"
elif job.get("state") != "paused":
job["state"] = "scheduled"
# If no next run (one-shot completed), disable
if job["next_run_at"] is None:
job["enabled"] = False
job["state"] = "completed"
elif job.get("state") != "paused":
job["state"] = "scheduled"
save_jobs(jobs)
return
save_jobs(jobs)
return
logger.warning("mark_job_run: job_id %s not found, skipping save", job_id)
logger.warning("mark_job_run: job_id %s not found, skipping save", job_id)
def advance_next_run(job_id: str) -> bool:
@@ -652,21 +645,20 @@ def advance_next_run(job_id: str) -> bool:
Returns True if next_run_at was advanced, False otherwise.
"""
with _jobs_file_lock:
jobs = load_jobs()
for job in jobs:
if job["id"] == job_id:
kind = job.get("schedule", {}).get("kind")
if kind not in ("cron", "interval"):
return False
now = _hermes_now().isoformat()
new_next = compute_next_run(job["schedule"], now)
if new_next and new_next != job.get("next_run_at"):
job["next_run_at"] = new_next
save_jobs(jobs)
return True
jobs = load_jobs()
for job in jobs:
if job["id"] == job_id:
kind = job.get("schedule", {}).get("kind")
if kind not in ("cron", "interval"):
return False
return False
now = _hermes_now().isoformat()
new_next = compute_next_run(job["schedule"], now)
if new_next and new_next != job.get("next_run_at"):
job["next_run_at"] = new_next
save_jobs(jobs)
return True
return False
return False
def get_due_jobs() -> List[Dict[str, Any]]:
+33 -70
View File
@@ -252,11 +252,7 @@ def _send_media_via_adapter(adapter, chat_id: str, media_files: list, metadata:
coro = adapter.send_document(chat_id=chat_id, file_path=media_path, metadata=metadata)
future = asyncio.run_coroutine_threadsafe(coro, loop)
try:
result = future.result(timeout=30)
except TimeoutError:
future.cancel()
raise
result = future.result(timeout=30)
if result and not getattr(result, "success", True):
logger.warning(
"Job '%s': media send failed for %s: %s",
@@ -386,11 +382,7 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> Option
runtime_adapter.send(chat_id, text_to_send, metadata=send_metadata),
loop,
)
try:
send_result = future.result(timeout=60)
except TimeoutError:
future.cancel()
raise
send_result = future.result(timeout=60)
if send_result and not getattr(send_result, "success", True):
err = getattr(send_result, "error", "unknown")
logger.warning(
@@ -430,6 +422,7 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> Option
# prevent "coroutine was never awaited" RuntimeWarning, then retry in a
# fresh thread that has no running loop.
coro.close()
import concurrent.futures
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
future = pool.submit(asyncio.run, _send_to_platform(platform, pconfig, chat_id, cleaned_delivery_content, thread_id=thread_id, media_files=media_files))
result = future.result(timeout=30)
@@ -754,17 +747,14 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
# scheduler process — every job this process runs is a cron job.
os.environ["HERMES_CRON_SESSION"] = "1"
# Use ContextVars for per-job session/delivery state so parallel jobs
# don't clobber each other's targets (os.environ is process-global).
from gateway.session_context import set_session_vars, clear_session_vars, _VAR_MAP
_ctx_tokens = set_session_vars(
platform=origin["platform"] if origin else "",
chat_id=str(origin["chat_id"]) if origin else "",
chat_name=origin.get("chat_name", "") if origin else "",
)
try:
# Inject origin context so the agent's send_message tool knows the chat.
# Must be INSIDE the try block so the finally cleanup always runs.
if origin:
os.environ["HERMES_SESSION_PLATFORM"] = origin["platform"]
os.environ["HERMES_SESSION_CHAT_ID"] = str(origin["chat_id"])
if origin.get("chat_name"):
os.environ["HERMES_SESSION_CHAT_NAME"] = origin["chat_name"]
# Re-read .env and config.yaml fresh every run so provider/key
# changes take effect without a gateway restart.
from dotenv import load_dotenv
@@ -775,10 +765,10 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
delivery_target = _resolve_delivery_target(job)
if delivery_target:
_VAR_MAP["HERMES_CRON_AUTO_DELIVER_PLATFORM"].set(delivery_target["platform"])
_VAR_MAP["HERMES_CRON_AUTO_DELIVER_CHAT_ID"].set(str(delivery_target["chat_id"]))
os.environ["HERMES_CRON_AUTO_DELIVER_PLATFORM"] = delivery_target["platform"]
os.environ["HERMES_CRON_AUTO_DELIVER_CHAT_ID"] = str(delivery_target["chat_id"])
if delivery_target.get("thread_id") is not None:
_VAR_MAP["HERMES_CRON_AUTO_DELIVER_THREAD_ID"].set(str(delivery_target["thread_id"]))
os.environ["HERMES_CRON_AUTO_DELIVER_THREAD_ID"] = str(delivery_target["thread_id"])
model = job.get("model") or os.getenv("HERMES_MODEL") or ""
@@ -817,13 +807,14 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
prefill_messages = None
prefill_file = os.getenv("HERMES_PREFILL_MESSAGES_FILE", "") or _cfg.get("prefill_messages_file", "")
if prefill_file:
import json as _json
pfpath = Path(prefill_file).expanduser()
if not pfpath.is_absolute():
pfpath = _hermes_home / pfpath
if pfpath.exists():
try:
with open(pfpath, "r", encoding="utf-8") as _pf:
prefill_messages = json.load(_pf)
prefill_messages = _json.load(_pf)
if not isinstance(prefill_messages, list):
prefill_messages = None
except Exception as e:
@@ -1021,8 +1012,16 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
return False, output, "", error_msg
finally:
# Clean up ContextVar session/delivery state for this job.
clear_session_vars(_ctx_tokens)
# Clean up injected env vars so they don't leak to other jobs
for key in (
"HERMES_SESSION_PLATFORM",
"HERMES_SESSION_CHAT_ID",
"HERMES_SESSION_CHAT_NAME",
"HERMES_CRON_AUTO_DELIVER_PLATFORM",
"HERMES_CRON_AUTO_DELIVER_CHAT_ID",
"HERMES_CRON_AUTO_DELIVER_THREAD_ID",
):
os.environ.pop(key, None)
if _session_db:
try:
_session_db.end_session(_cron_session_id, "cron_complete")
@@ -1075,41 +1074,15 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
if verbose:
logger.info("%s - %s job(s) due", _hermes_now().strftime('%H:%M:%S'), len(due_jobs))
# Advance next_run_at for all recurring jobs FIRST, under the file lock,
# before any execution begins. This preserves at-most-once semantics.
executed = 0
for job in due_jobs:
advance_next_run(job["id"])
# Resolve max parallel workers: env var > config.yaml > unbounded.
# Set HERMES_CRON_MAX_PARALLEL=1 to restore old serial behaviour.
_max_workers: Optional[int] = None
try:
_env_par = os.getenv("HERMES_CRON_MAX_PARALLEL", "").strip()
if _env_par:
_max_workers = int(_env_par) or None
except (ValueError, TypeError):
logger.warning("Invalid HERMES_CRON_MAX_PARALLEL value; defaulting to unbounded")
if _max_workers is None:
try:
_ucfg = load_config() or {}
_cfg_par = (
_ucfg.get("cron", {}) if isinstance(_ucfg, dict) else {}
).get("max_parallel_jobs")
if _cfg_par is not None:
_max_workers = int(_cfg_par) or None
except Exception:
pass
# For recurring jobs (cron/interval), advance next_run_at to the
# next future occurrence BEFORE execution. This way, if the
# process crashes mid-run, the job won't re-fire on restart.
# One-shot jobs are left alone so they can retry on restart.
advance_next_run(job["id"])
if verbose:
logger.info(
"Running %d job(s) in parallel (max_workers=%s)",
len(due_jobs),
_max_workers if _max_workers else "unbounded",
)
def _process_job(job: dict) -> bool:
"""Run one due job end-to-end: execute, save, deliver, mark."""
try:
success, output, final_response, error = run_job(job)
output_file = save_job_output(job["id"], output)
@@ -1141,23 +1114,13 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
error = "Agent completed but produced empty response (model error, timeout, or misconfiguration)"
mark_job_run(job["id"], success, error, delivery_error=delivery_error)
return True
executed += 1
except Exception as e:
logger.error("Error processing job %s: %s", job['id'], e)
mark_job_run(job["id"], False, str(e))
return False
# Run all due jobs concurrently, each in its own ContextVar copy
# so session/delivery state stays isolated per-thread.
with concurrent.futures.ThreadPoolExecutor(max_workers=_max_workers) as _tick_pool:
_futures = []
for job in due_jobs:
_ctx = contextvars.copy_context()
_futures.append(_tick_pool.submit(_ctx.run, _process_job, job))
_results = [f.result() for f in _futures]
return sum(_results)
return executed
finally:
if fcntl:
fcntl.flock(lock_fd, fcntl.LOCK_UN)
+1
View File
@@ -53,6 +53,7 @@ def _run_tool_in_thread(tool_name: str, arguments: Dict[str, Any], task_id: str)
try:
loop = asyncio.get_running_loop()
# We're in an async context -- need to run in thread
import concurrent.futures
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
future = pool.submit(
handle_function_call, tool_name, arguments, task_id
+3 -25
View File
@@ -576,14 +576,6 @@ def load_gateway_config() -> GatewayConfig:
bridged["free_response_channels"] = platform_cfg["free_response_channels"]
if "mention_patterns" in platform_cfg:
bridged["mention_patterns"] = platform_cfg["mention_patterns"]
if "dm_policy" in platform_cfg:
bridged["dm_policy"] = platform_cfg["dm_policy"]
if "allow_from" in platform_cfg:
bridged["allow_from"] = platform_cfg["allow_from"]
if "group_policy" in platform_cfg:
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 == Platform.DISCORD and "channel_skill_bindings" in platform_cfg:
bridged["channel_skill_bindings"] = platform_cfg["channel_skill_bindings"]
if "channel_prompts" in platform_cfg:
@@ -616,8 +608,6 @@ def load_gateway_config() -> GatewayConfig:
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["SLACK_FREE_RESPONSE_CHANNELS"] = str(frc)
if "reactions" in slack_cfg and not os.getenv("SLACK_REACTIONS"):
os.environ["SLACK_REACTIONS"] = str(slack_cfg["reactions"]).lower()
# Discord settings → env vars (env vars take precedence)
discord_cfg = yaml_cfg.get("discord", {})
@@ -672,7 +662,8 @@ def load_gateway_config() -> GatewayConfig:
if "require_mention" in telegram_cfg and not os.getenv("TELEGRAM_REQUIRE_MENTION"):
os.environ["TELEGRAM_REQUIRE_MENTION"] = str(telegram_cfg["require_mention"]).lower()
if "mention_patterns" in telegram_cfg and not os.getenv("TELEGRAM_MENTION_PATTERNS"):
os.environ["TELEGRAM_MENTION_PATTERNS"] = json.dumps(telegram_cfg["mention_patterns"])
import json as _json
os.environ["TELEGRAM_MENTION_PATTERNS"] = _json.dumps(telegram_cfg["mention_patterns"])
frc = telegram_cfg.get("free_response_chats")
if frc is not None and not os.getenv("TELEGRAM_FREE_RESPONSE_CHATS"):
if isinstance(frc, list):
@@ -709,20 +700,6 @@ def load_gateway_config() -> GatewayConfig:
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["WHATSAPP_FREE_RESPONSE_CHATS"] = str(frc)
if "dm_policy" in whatsapp_cfg and not os.getenv("WHATSAPP_DM_POLICY"):
os.environ["WHATSAPP_DM_POLICY"] = str(whatsapp_cfg["dm_policy"]).lower()
af = whatsapp_cfg.get("allow_from")
if af is not None and not os.getenv("WHATSAPP_ALLOWED_USERS"):
if isinstance(af, list):
af = ",".join(str(v) for v in af)
os.environ["WHATSAPP_ALLOWED_USERS"] = str(af)
if "group_policy" in whatsapp_cfg and not os.getenv("WHATSAPP_GROUP_POLICY"):
os.environ["WHATSAPP_GROUP_POLICY"] = str(whatsapp_cfg["group_policy"]).lower()
gaf = whatsapp_cfg.get("group_allow_from")
if gaf is not None and not os.getenv("WHATSAPP_GROUP_ALLOWED_USERS"):
if isinstance(gaf, list):
gaf = ",".join(str(v) for v in gaf)
os.environ["WHATSAPP_GROUP_ALLOWED_USERS"] = str(gaf)
# DingTalk settings → env vars (env vars take precedence)
dingtalk_cfg = yaml_cfg.get("dingtalk", {})
@@ -1260,6 +1237,7 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
if legacy_home:
qq_home = legacy_home
qq_home_name_env = "QQ_HOME_CHANNEL_NAME"
import logging
logging.getLogger(__name__).warning(
"QQ_HOME_CHANNEL is deprecated; rename to QQBOT_HOME_CHANNEL "
"in your .env for consistency with the platform key."
+60 -237
View File
@@ -117,160 +117,6 @@ def _normalize_chat_content(
return ""
# Content part type aliases used by the OpenAI Chat Completions and Responses
# APIs. We accept both spellings on input and emit a single canonical internal
# shape (``{"type": "text", ...}`` / ``{"type": "image_url", ...}``) that the
# rest of the agent pipeline already understands.
_TEXT_PART_TYPES = frozenset({"text", "input_text", "output_text"})
_IMAGE_PART_TYPES = frozenset({"image_url", "input_image"})
_FILE_PART_TYPES = frozenset({"file", "input_file"})
def _normalize_multimodal_content(content: Any) -> Any:
"""Validate and normalize multimodal content for the API server.
Returns a plain string when the content is text-only, or a list of
``{"type": "text"|"image_url", ...}`` parts when images are present.
The output shape is the native OpenAI Chat Completions vision format,
which the agent pipeline accepts verbatim (OpenAI-wire providers) or
converts (``_preprocess_anthropic_content`` for Anthropic).
Raises ``ValueError`` with an OpenAI-style code on invalid input:
* ``unsupported_content_type`` file/input_file/file_id parts, or
non-image ``data:`` URLs.
* ``invalid_image_url`` missing URL or unsupported scheme.
* ``invalid_content_part`` malformed text/image objects.
Callers translate the ValueError into a 400 response.
"""
# Scalar passthrough mirrors ``_normalize_chat_content``.
if content is None:
return ""
if isinstance(content, str):
return content[:MAX_NORMALIZED_TEXT_LENGTH] if len(content) > MAX_NORMALIZED_TEXT_LENGTH else content
if not isinstance(content, list):
# Mirror the legacy text-normalizer's fallback so callers that
# pre-existed image support still get a string back.
return _normalize_chat_content(content)
items = content[:MAX_CONTENT_LIST_SIZE] if len(content) > MAX_CONTENT_LIST_SIZE else content
normalized_parts: List[Dict[str, Any]] = []
text_accum_len = 0
for part in items:
if isinstance(part, str):
if part:
trimmed = part[:MAX_NORMALIZED_TEXT_LENGTH]
normalized_parts.append({"type": "text", "text": trimmed})
text_accum_len += len(trimmed)
continue
if not isinstance(part, dict):
# Ignore unknown scalars for forward compatibility with future
# Responses API additions (e.g. ``refusal``). The same policy
# the text normalizer applies.
continue
raw_type = part.get("type")
part_type = str(raw_type or "").strip().lower()
if part_type in _TEXT_PART_TYPES:
text = part.get("text")
if text is None:
continue
if not isinstance(text, str):
text = str(text)
if text:
trimmed = text[:MAX_NORMALIZED_TEXT_LENGTH]
normalized_parts.append({"type": "text", "text": trimmed})
text_accum_len += len(trimmed)
continue
if part_type in _IMAGE_PART_TYPES:
detail = part.get("detail")
image_ref = part.get("image_url")
# OpenAI Responses sends ``input_image`` with a top-level
# ``image_url`` string; Chat Completions sends ``image_url`` as
# ``{"url": "...", "detail": "..."}``. Support both.
if isinstance(image_ref, dict):
url_value = image_ref.get("url")
detail = image_ref.get("detail", detail)
else:
url_value = image_ref
if not isinstance(url_value, str) or not url_value.strip():
raise ValueError("invalid_image_url:Image parts must include a non-empty image URL.")
url_value = url_value.strip()
lowered = url_value.lower()
if lowered.startswith("data:"):
if not lowered.startswith("data:image/") or "," not in url_value:
raise ValueError(
"unsupported_content_type:Only image data URLs are supported. "
"Non-image data payloads are not supported."
)
elif not (lowered.startswith("http://") or lowered.startswith("https://")):
raise ValueError(
"invalid_image_url:Image inputs must use http(s) URLs or data:image/... URLs."
)
image_part: Dict[str, Any] = {"type": "image_url", "image_url": {"url": url_value}}
if detail is not None:
if not isinstance(detail, str) or not detail.strip():
raise ValueError("invalid_content_part:Image detail must be a non-empty string when provided.")
image_part["image_url"]["detail"] = detail.strip()
normalized_parts.append(image_part)
continue
if part_type in _FILE_PART_TYPES:
raise ValueError(
"unsupported_content_type:Inline image inputs are supported, "
"but uploaded files and document inputs are not supported on this endpoint."
)
# Unknown part type — reject explicitly so clients get a clear error
# instead of a silently dropped turn.
raise ValueError(
f"unsupported_content_type:Unsupported content part type {raw_type!r}. "
"Only text and image_url/input_image parts are supported."
)
if not normalized_parts:
return ""
# Text-only: collapse to a plain string so downstream logging/trajectory
# code sees the native shape and prompt caching on text-only turns is
# unaffected.
if all(p.get("type") == "text" for p in normalized_parts):
return "\n".join(p["text"] for p in normalized_parts if p.get("text"))
return normalized_parts
def _content_has_visible_payload(content: Any) -> bool:
"""True when content has any text or image attachment. Used to reject empty turns."""
if isinstance(content, str):
return bool(content.strip())
if isinstance(content, list):
for part in content:
if isinstance(part, dict):
ptype = str(part.get("type") or "").strip().lower()
if ptype in _TEXT_PART_TYPES and str(part.get("text") or "").strip():
return True
if ptype in _IMAGE_PART_TYPES:
return True
return False
def _multimodal_validation_error(exc: ValueError, *, param: str) -> "web.Response":
"""Translate a ``_normalize_multimodal_content`` ValueError into a 400 response."""
raw = str(exc)
code, _, message = raw.partition(":")
if not message:
code, message = "invalid_content_part", raw
return web.json_response(
_openai_error(message, code=code, param=param),
status=400,
)
def check_api_server_requirements() -> bool:
"""Check if API server dependencies are available."""
return AIOHTTP_AVAILABLE
@@ -323,6 +169,7 @@ class ResponseStore:
).fetchone()
if row is None:
return None
import time
self._conn.execute(
"UPDATE responses SET accessed_at = ? WHERE response_id = ?",
(time.time(), response_id),
@@ -332,6 +179,7 @@ class ResponseStore:
def put(self, response_id: str, data: Dict[str, Any]) -> None:
"""Store a response, evicting the oldest if at capacity."""
import time
self._conn.execute(
"INSERT OR REPLACE INTO responses (response_id, data, accessed_at) VALUES (?, ?, ?)",
(response_id, json.dumps(data, default=str), time.time()),
@@ -467,12 +315,12 @@ class _IdempotencyCache:
def __init__(self, max_items: int = 1000, ttl_seconds: int = 300):
from collections import OrderedDict
self._store = OrderedDict()
self._inflight: Dict[tuple[str, str], "asyncio.Task[Any]"] = {}
self._ttl = ttl_seconds
self._max = max_items
def _purge(self):
now = time.time()
import time as _t
now = _t.time()
expired = [k for k, v in self._store.items() if now - v["ts"] > self._ttl]
for k in expired:
self._store.pop(k, None)
@@ -484,27 +332,11 @@ class _IdempotencyCache:
item = self._store.get(key)
if item and item["fp"] == fingerprint:
return item["resp"]
inflight_key = (key, fingerprint)
task = self._inflight.get(inflight_key)
if task is None:
async def _compute_and_store():
resp = await compute_coro()
import time as _t
self._store[key] = {"resp": resp, "fp": fingerprint, "ts": _t.time()}
self._purge()
return resp
task = asyncio.create_task(_compute_and_store())
self._inflight[inflight_key] = task
def _clear_inflight(done_task: "asyncio.Task[Any]") -> None:
if self._inflight.get(inflight_key) is done_task:
self._inflight.pop(inflight_key, None)
task.add_done_callback(_clear_inflight)
return await asyncio.shield(task)
resp = await compute_coro()
import time as _t
self._store[key] = {"resp": resp, "fp": fingerprint, "ts": _t.time()}
self._purge()
return resp
_idem_cache = _IdempotencyCache()
@@ -534,30 +366,6 @@ def _derive_chat_session_id(
return f"api-{digest}"
_CRON_AVAILABLE = False
try:
from cron.jobs import (
list_jobs as _cron_list,
get_job as _cron_get,
create_job as _cron_create,
update_job as _cron_update,
remove_job as _cron_remove,
pause_job as _cron_pause,
resume_job as _cron_resume,
trigger_job as _cron_trigger,
)
_CRON_AVAILABLE = True
except ImportError:
_cron_list = None
_cron_get = None
_cron_create = None
_cron_update = None
_cron_remove = None
_cron_pause = None
_cron_resume = None
_cron_trigger = None
class APIServerAdapter(BasePlatformAdapter):
"""
OpenAI-compatible HTTP API server adapter.
@@ -829,32 +637,26 @@ class APIServerAdapter(BasePlatformAdapter):
system_prompt = None
conversation_messages: List[Dict[str, str]] = []
for idx, msg in enumerate(messages):
for msg in messages:
role = msg.get("role", "")
raw_content = msg.get("content", "")
content = _normalize_chat_content(msg.get("content", ""))
if role == "system":
# System messages don't support images (Anthropic rejects, OpenAI
# text-model systems don't render them). Flatten to text.
content = _normalize_chat_content(raw_content)
# Accumulate system messages
if system_prompt is None:
system_prompt = content
else:
system_prompt = system_prompt + "\n" + content
elif role in ("user", "assistant"):
try:
content = _normalize_multimodal_content(raw_content)
except ValueError as exc:
return _multimodal_validation_error(exc, param=f"messages[{idx}].content")
conversation_messages.append({"role": role, "content": content})
# Extract the last user message as the primary input
user_message: Any = ""
user_message = ""
history = []
if conversation_messages:
user_message = conversation_messages[-1].get("content", "")
history = conversation_messages[:-1]
if not _content_has_visible_payload(user_message):
if not user_message:
return web.json_response(
{"error": {"message": "No user message found in messages", "type": "invalid_request_error"}},
status=400,
@@ -1622,19 +1424,16 @@ class APIServerAdapter(BasePlatformAdapter):
# No error if conversation doesn't exist yet — it's a new conversation
# Normalize input to message list
input_messages: List[Dict[str, Any]] = []
input_messages: List[Dict[str, str]] = []
if isinstance(raw_input, str):
input_messages = [{"role": "user", "content": raw_input}]
elif isinstance(raw_input, list):
for idx, item in enumerate(raw_input):
for item in raw_input:
if isinstance(item, str):
input_messages.append({"role": "user", "content": item})
elif isinstance(item, dict):
role = item.get("role", "user")
try:
content = _normalize_multimodal_content(item.get("content", ""))
except ValueError as exc:
return _multimodal_validation_error(exc, param=f"input[{idx}].content")
content = _normalize_chat_content(item.get("content", ""))
input_messages.append({"role": role, "content": content})
else:
return web.json_response(_openai_error("'input' must be a string or array"), status=400)
@@ -1643,7 +1442,7 @@ class APIServerAdapter(BasePlatformAdapter):
# This lets stateless clients supply their own history instead of
# relying on server-side response chaining via previous_response_id.
# Precedence: explicit conversation_history > previous_response_id.
conversation_history: List[Dict[str, Any]] = []
conversation_history: List[Dict[str, str]] = []
raw_history = body.get("conversation_history")
if raw_history:
if not isinstance(raw_history, list):
@@ -1657,11 +1456,7 @@ class APIServerAdapter(BasePlatformAdapter):
_openai_error(f"conversation_history[{i}] must have 'role' and 'content' fields"),
status=400,
)
try:
entry_content = _normalize_multimodal_content(entry["content"])
except ValueError as exc:
return _multimodal_validation_error(exc, param=f"conversation_history[{i}].content")
conversation_history.append({"role": str(entry["role"]), "content": entry_content})
conversation_history.append({"role": str(entry["role"]), "content": str(entry["content"])})
if previous_response_id:
logger.debug("Both conversation_history and previous_response_id provided; using conversation_history")
@@ -1681,8 +1476,8 @@ class APIServerAdapter(BasePlatformAdapter):
conversation_history.append(msg)
# Last input message is the user_message
user_message: Any = input_messages[-1].get("content", "") if input_messages else ""
if not _content_has_visible_payload(user_message):
user_message = input_messages[-1].get("content", "") if input_messages else ""
if not user_message:
return web.json_response(_openai_error("No user message found in input"), status=400)
# Truncation support
@@ -1887,16 +1682,44 @@ class APIServerAdapter(BasePlatformAdapter):
# Cron jobs API
# ------------------------------------------------------------------
# Check cron module availability once (not per-request)
_CRON_AVAILABLE = False
try:
from cron.jobs import (
list_jobs as _cron_list,
get_job as _cron_get,
create_job as _cron_create,
update_job as _cron_update,
remove_job as _cron_remove,
pause_job as _cron_pause,
resume_job as _cron_resume,
trigger_job as _cron_trigger,
)
# Wrap as staticmethod to prevent descriptor binding — these are plain
# module functions, not instance methods. Without this, self._cron_*()
# injects ``self`` as the first positional argument and every call
# raises TypeError.
_cron_list = staticmethod(_cron_list)
_cron_get = staticmethod(_cron_get)
_cron_create = staticmethod(_cron_create)
_cron_update = staticmethod(_cron_update)
_cron_remove = staticmethod(_cron_remove)
_cron_pause = staticmethod(_cron_pause)
_cron_resume = staticmethod(_cron_resume)
_cron_trigger = staticmethod(_cron_trigger)
_CRON_AVAILABLE = True
except ImportError:
pass
_JOB_ID_RE = __import__("re").compile(r"[a-f0-9]{12}")
# Allowed fields for update — prevents clients injecting arbitrary keys
_UPDATE_ALLOWED_FIELDS = {"name", "schedule", "prompt", "deliver", "skills", "skill", "repeat", "enabled"}
_MAX_NAME_LENGTH = 200
_MAX_PROMPT_LENGTH = 5000
@staticmethod
def _check_jobs_available() -> Optional["web.Response"]:
def _check_jobs_available(self) -> Optional["web.Response"]:
"""Return error response if cron module isn't available."""
if not _CRON_AVAILABLE:
if not self._CRON_AVAILABLE:
return web.json_response(
{"error": "Cron module not available"}, status=501,
)
@@ -1921,7 +1744,7 @@ class APIServerAdapter(BasePlatformAdapter):
return cron_err
try:
include_disabled = request.query.get("include_disabled", "").lower() in ("true", "1")
jobs = _cron_list(include_disabled=include_disabled)
jobs = self._cron_list(include_disabled=include_disabled)
return web.json_response({"jobs": jobs})
except Exception as e:
return web.json_response({"error": str(e)}, status=500)
@@ -1969,7 +1792,7 @@ class APIServerAdapter(BasePlatformAdapter):
if repeat is not None:
kwargs["repeat"] = repeat
job = _cron_create(**kwargs)
job = self._cron_create(**kwargs)
return web.json_response({"job": job})
except Exception as e:
return web.json_response({"error": str(e)}, status=500)
@@ -1986,7 +1809,7 @@ class APIServerAdapter(BasePlatformAdapter):
if id_err:
return id_err
try:
job = _cron_get(job_id)
job = self._cron_get(job_id)
if not job:
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response({"job": job})
@@ -2019,7 +1842,7 @@ class APIServerAdapter(BasePlatformAdapter):
return web.json_response(
{"error": f"Prompt must be ≤ {self._MAX_PROMPT_LENGTH} characters"}, status=400,
)
job = _cron_update(job_id, sanitized)
job = self._cron_update(job_id, sanitized)
if not job:
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response({"job": job})
@@ -2038,7 +1861,7 @@ class APIServerAdapter(BasePlatformAdapter):
if id_err:
return id_err
try:
success = _cron_remove(job_id)
success = self._cron_remove(job_id)
if not success:
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response({"ok": True})
@@ -2057,7 +1880,7 @@ class APIServerAdapter(BasePlatformAdapter):
if id_err:
return id_err
try:
job = _cron_pause(job_id)
job = self._cron_pause(job_id)
if not job:
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response({"job": job})
@@ -2076,7 +1899,7 @@ class APIServerAdapter(BasePlatformAdapter):
if id_err:
return id_err
try:
job = _cron_resume(job_id)
job = self._cron_resume(job_id)
if not job:
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response({"job": job})
@@ -2095,7 +1918,7 @@ class APIServerAdapter(BasePlatformAdapter):
if id_err:
return id_err
try:
job = _cron_trigger(job_id)
job = self._cron_trigger(job_id)
if not job:
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response({"job": job})
+18 -41
View File
@@ -19,8 +19,6 @@ import uuid
from abc import ABC, abstractmethod
from urllib.parse import urlsplit
from utils import normalize_proxy_url
logger = logging.getLogger(__name__)
@@ -161,13 +159,13 @@ def resolve_proxy_url(platform_env_var: str | None = None) -> str | None:
if platform_env_var:
value = (os.environ.get(platform_env_var) or "").strip()
if value:
return normalize_proxy_url(value)
return value
for key in ("HTTPS_PROXY", "HTTP_PROXY", "ALL_PROXY",
"https_proxy", "http_proxy", "all_proxy"):
value = (os.environ.get(key) or "").strip()
if value:
return normalize_proxy_url(value)
return normalize_proxy_url(_detect_macos_system_proxy())
return value
return _detect_macos_system_proxy()
def proxy_kwargs_for_bot(proxy_url: str | None) -> dict:
@@ -393,9 +391,12 @@ async def cache_image_from_url(url: str, ext: str = ".jpg", retries: int = 2) ->
if not is_safe_url(url):
raise ValueError(f"Blocked unsafe URL (SSRF protection): {safe_url_for_log(url)}")
import asyncio
import httpx
_log = logging.getLogger(__name__)
import logging as _logging
_log = _logging.getLogger(__name__)
last_exc = None
async with httpx.AsyncClient(
timeout=30.0,
follow_redirects=True,
@@ -413,6 +414,7 @@ async def cache_image_from_url(url: str, ext: str = ".jpg", retries: int = 2) ->
response.raise_for_status()
return cache_image_from_bytes(response.content, ext)
except (httpx.TimeoutException, httpx.HTTPStatusError) as exc:
last_exc = exc
if isinstance(exc, httpx.HTTPStatusError) and exc.response.status_code < 429:
raise
if attempt < retries:
@@ -428,6 +430,7 @@ async def cache_image_from_url(url: str, ext: str = ".jpg", retries: int = 2) ->
await asyncio.sleep(wait)
continue
raise
raise last_exc
def cleanup_image_cache(max_age_hours: int = 24) -> int:
@@ -507,9 +510,12 @@ async def cache_audio_from_url(url: str, ext: str = ".ogg", retries: int = 2) ->
if not is_safe_url(url):
raise ValueError(f"Blocked unsafe URL (SSRF protection): {safe_url_for_log(url)}")
import asyncio
import httpx
_log = logging.getLogger(__name__)
import logging as _logging
_log = _logging.getLogger(__name__)
last_exc = None
async with httpx.AsyncClient(
timeout=30.0,
follow_redirects=True,
@@ -527,6 +533,7 @@ async def cache_audio_from_url(url: str, ext: str = ".ogg", retries: int = 2) ->
response.raise_for_status()
return cache_audio_from_bytes(response.content, ext)
except (httpx.TimeoutException, httpx.HTTPStatusError) as exc:
last_exc = exc
if isinstance(exc, httpx.HTTPStatusError) and exc.response.status_code < 429:
raise
if attempt < retries:
@@ -542,39 +549,7 @@ async def cache_audio_from_url(url: str, ext: str = ".ogg", retries: int = 2) ->
await asyncio.sleep(wait)
continue
raise
# ---------------------------------------------------------------------------
# Video cache utilities
#
# Same pattern as image/audio cache -- videos from platforms are downloaded
# here so the agent can reference them by local file path.
# ---------------------------------------------------------------------------
VIDEO_CACHE_DIR = get_hermes_dir("cache/videos", "video_cache")
SUPPORTED_VIDEO_TYPES = {
".mp4": "video/mp4",
".mov": "video/quicktime",
".webm": "video/webm",
".mkv": "video/x-matroska",
".avi": "video/x-msvideo",
}
def get_video_cache_dir() -> Path:
"""Return the video cache directory, creating it if it doesn't exist."""
VIDEO_CACHE_DIR.mkdir(parents=True, exist_ok=True)
return VIDEO_CACHE_DIR
def cache_video_from_bytes(data: bytes, ext: str = ".mp4") -> str:
"""Save raw video bytes to the cache and return the absolute file path."""
cache_dir = get_video_cache_dir()
filename = f"video_{uuid.uuid4().hex[:12]}{ext}"
filepath = cache_dir / filename
filepath.write_bytes(data)
return str(filepath)
raise last_exc
# ---------------------------------------------------------------------------
@@ -1343,7 +1318,7 @@ class BasePlatformAdapter(ABC):
# Extract MEDIA:<path> tags, allowing optional whitespace after the colon
# and quoted/backticked paths for LLM-formatted outputs.
media_pattern = re.compile(
r'''[`"']?MEDIA:\s*(?P<path>`[^`\n]+`|"[^"\n]+"|'[^'\n]+'|(?:~/|/)\S+(?:[^\S\n]+\S+)*?\.(?:png|jpe?g|gif|webp|mp4|mov|avi|mkv|webm|ogg|opus|mp3|wav|m4a|pdf)(?=[\s`"',;:)\]}]|$)|\S+)[`"']?'''
r'''[`"']?MEDIA:\s*(?P<path>`[^`\n]+`|"[^"\n]+"|'[^'\n]+'|(?:~/|/)\S+(?:[^\S\n]+\S+)*?\.(?:png|jpe?g|gif|webp|mp4|mov|avi|mkv|webm|ogg|opus|mp3|wav|m4a)(?=[\s`"',;:)\]}]|$)|\S+)[`"']?'''
)
for match in media_pattern.finditer(content):
path = match.group("path").strip()
@@ -1779,6 +1754,8 @@ class BasePlatformAdapter(ABC):
HERMES_HUMAN_DELAY_MIN_MS: minimum delay in ms (default 800, custom mode)
HERMES_HUMAN_DELAY_MAX_MS: maximum delay in ms (default 2500, custom mode)
"""
import random
mode = os.getenv("HERMES_HUMAN_DELAY_MODE", "off").lower()
if mode == "off":
return 0.0
+1 -1
View File
@@ -75,7 +75,7 @@ def _redact(text: str) -> str:
def check_bluebubbles_requirements() -> bool:
try:
import aiohttp # noqa: F401
import httpx # noqa: F401
import httpx as _httpx # noqa: F401
except ImportError:
return False
return True
+11 -17
View File
@@ -541,6 +541,7 @@ class DiscordAdapter(BasePlatformAdapter):
# ctypes.util.find_library fails on macOS with Homebrew-installed libs,
# so fall back to known Homebrew paths if needed.
if not opus_path:
import sys
_homebrew_paths = (
"/opt/homebrew/lib/libopus.dylib", # Apple Silicon
"/usr/local/lib/libopus.dylib", # Intel Mac
@@ -1421,7 +1422,8 @@ class DiscordAdapter(BasePlatformAdapter):
speaking_user_ids: set = set()
receiver = self._voice_receivers.get(guild_id)
if receiver:
now = time.monotonic()
import time as _time
now = _time.monotonic()
with receiver._lock:
for ssrc, last_t in receiver._last_packet_time.items():
# Consider "speaking" if audio received within last 2 seconds
@@ -2960,17 +2962,6 @@ class DiscordAdapter(BasePlatformAdapter):
parent_channel_id = self._get_parent_channel_id(message.channel)
is_voice_linked_channel = False
# Save mention-stripped text before auto-threading since create_thread()
# can clobber message.content, breaking /command detection in channels.
raw_content = message.content.strip()
normalized_content = raw_content
mention_prefix = False
if self._client.user and self._client.user in message.mentions:
mention_prefix = True
normalized_content = normalized_content.replace(f"<@{self._client.user.id}>", "").strip()
normalized_content = normalized_content.replace(f"<@!{self._client.user.id}>", "").strip()
message.content = normalized_content
if not isinstance(message.channel, discord.DMChannel):
channel_ids = {str(message.channel.id)}
if parent_channel_id:
@@ -3008,8 +2999,13 @@ class DiscordAdapter(BasePlatformAdapter):
in_bot_thread = is_thread and thread_id in self._threads
if require_mention and not is_free_channel and not in_bot_thread:
if self._client.user not in message.mentions and not mention_prefix:
if self._client.user not in message.mentions:
return
if self._client.user and self._client.user in message.mentions:
message.content = message.content.replace(f"<@{self._client.user.id}>", "").strip()
message.content = message.content.replace(f"<@!{self._client.user.id}>", "").strip()
# Auto-thread: when enabled, automatically create a thread for every
# @mention in a text channel so each conversation is isolated (like Slack).
# Messages already inside threads or DMs are unaffected.
@@ -3031,7 +3027,7 @@ class DiscordAdapter(BasePlatformAdapter):
# Determine message type
msg_type = MessageType.TEXT
if normalized_content.startswith("/"):
if message.content.startswith("/"):
msg_type = MessageType.COMMAND
elif message.attachments:
# Check attachment types
@@ -3171,9 +3167,7 @@ class DiscordAdapter(BasePlatformAdapter):
att.filename, e, exc_info=True,
)
# Use normalized_content (saved before auto-threading) instead of message.content,
# to detect /slash commands in channel messages.
event_text = normalized_content
event_text = message.content
if pending_text_injection:
event_text = f"{pending_text_injection}\n\n{event_text}" if event_text else pending_text_injection
+1
View File
@@ -410,6 +410,7 @@ class MattermostAdapter(BasePlatformAdapter):
logger.warning("Mattermost: blocked unsafe URL (SSRF protection)")
return await self.send(chat_id, f"{caption or ''}\n{url}".strip(), reply_to)
import asyncio
import aiohttp
last_exc = None
+4 -2
View File
@@ -26,8 +26,9 @@ from .adapter import ( # noqa: F401
# -- Onboard (QR-code scan-to-configure) -----------------------------------
from .onboard import ( # noqa: F401
BindStatus,
create_bind_task,
poll_bind_result,
build_connect_url,
qr_register,
)
from .crypto import decrypt_secret, generate_bind_key # noqa: F401
@@ -43,8 +44,9 @@ __all__ = [
"_ssrf_redirect_guard",
# onboard
"BindStatus",
"create_bind_task",
"poll_bind_result",
"build_connect_url",
"qr_register",
# crypto
"decrypt_secret",
"generate_bind_key",
+8 -3
View File
@@ -1086,8 +1086,11 @@ class QQAdapter(BasePlatformAdapter):
return MessageType.VIDEO
if "image" in first_type or "photo" in first_type:
return MessageType.PHOTO
# Unknown content type with an attachment — don't assume PHOTO
# to prevent non-image files from being sent to vision analysis.
logger.debug(
"Unknown media content_type '%s', defaulting to TEXT",
"[%s] Unknown media content_type '%s', defaulting to TEXT",
self._log_tag,
first_type,
)
return MessageType.TEXT
@@ -1823,12 +1826,14 @@ class QQAdapter(BasePlatformAdapter):
body["file_name"] = file_name
# Retry transient upload failures
last_exc = None
for attempt in range(3):
try:
return await self._api_request(
"POST", path, body, timeout=FILE_UPLOAD_TIMEOUT
)
except RuntimeError as exc:
last_exc = exc
err_msg = str(exc)
if any(
kw in err_msg
@@ -1837,8 +1842,8 @@ class QQAdapter(BasePlatformAdapter):
raise
if attempt < 2:
await asyncio.sleep(1.5 * (attempt + 1))
else:
raise
raise last_exc # type: ignore[misc]
# Maximum time (seconds) to wait for reconnection before giving up on send.
_RECONNECT_WAIT_SECONDS = 15.0
+21 -117
View File
@@ -1,10 +1,6 @@
"""
QQBot scan-to-configure (QR code onboard) module.
Mirrors the Feishu onboarding pattern: synchronous HTTP + a single public
entry-point ``qr_register()`` that handles the full flow (create task
display QR code poll decrypt credentials).
Calls the ``q.qq.com`` ``create_bind_task`` / ``poll_bind_result`` APIs to
generate a QR-code URL and poll for scan completion. On success the caller
receives the bot's *app_id*, *client_secret* (decrypted locally), and the
@@ -16,20 +12,18 @@ Reference: https://bot.q.qq.com/wiki/develop/api-v2/
from __future__ import annotations
import logging
import time
from enum import IntEnum
from typing import Optional, Tuple
from typing import Tuple
from urllib.parse import quote
from .constants import (
ONBOARD_API_TIMEOUT,
ONBOARD_CREATE_PATH,
ONBOARD_POLL_INTERVAL,
ONBOARD_POLL_PATH,
PORTAL_HOST,
QR_URL_TEMPLATE,
)
from .crypto import decrypt_secret, generate_bind_key
from .crypto import generate_bind_key
from .utils import get_api_headers
logger = logging.getLogger(__name__)
@@ -41,7 +35,7 @@ logger = logging.getLogger(__name__)
class BindStatus(IntEnum):
"""Status codes returned by ``_poll_bind_result``."""
"""Status codes returned by ``poll_bind_result``."""
NONE = 0
PENDING = 1
@@ -50,40 +44,18 @@ class BindStatus(IntEnum):
# ---------------------------------------------------------------------------
# QR rendering
# ---------------------------------------------------------------------------
try:
import qrcode as _qrcode_mod
except (ImportError, TypeError):
_qrcode_mod = None # type: ignore[assignment]
def _render_qr(url: str) -> bool:
"""Try to render a QR code in the terminal. Returns True if successful."""
if _qrcode_mod is None:
return False
try:
qr = _qrcode_mod.QRCode(
error_correction=_qrcode_mod.constants.ERROR_CORRECT_M,
border=2,
)
qr.add_data(url)
qr.make(fit=True)
qr.print_ascii(invert=True)
return True
except Exception:
return False
# ---------------------------------------------------------------------------
# Synchronous HTTP helpers (mirrors Feishu _post_registration pattern)
# Public API
# ---------------------------------------------------------------------------
def _create_bind_task(timeout: float = ONBOARD_API_TIMEOUT) -> Tuple[str, str]:
async def create_bind_task(
timeout: float = ONBOARD_API_TIMEOUT,
) -> Tuple[str, str]:
"""Create a bind task and return *(task_id, aes_key_base64)*.
The AES key is generated locally and sent to the server so it can
encrypt the bot credentials before returning them.
Raises:
RuntimeError: If the API returns a non-zero ``retcode``.
"""
@@ -92,8 +64,8 @@ def _create_bind_task(timeout: float = ONBOARD_API_TIMEOUT) -> Tuple[str, str]:
url = f"https://{PORTAL_HOST}{ONBOARD_CREATE_PATH}"
key = generate_bind_key()
with httpx.Client(timeout=timeout, follow_redirects=True) as client:
resp = client.post(url, json={"key": key}, headers=get_api_headers())
async with httpx.AsyncClient(timeout=timeout, follow_redirects=True) as client:
resp = await client.post(url, json={"key": key}, headers=get_api_headers())
resp.raise_for_status()
data = resp.json()
@@ -108,7 +80,7 @@ def _create_bind_task(timeout: float = ONBOARD_API_TIMEOUT) -> Tuple[str, str]:
return task_id, key
def _poll_bind_result(
async def poll_bind_result(
task_id: str,
timeout: float = ONBOARD_API_TIMEOUT,
) -> Tuple[BindStatus, str, str, str]:
@@ -117,6 +89,12 @@ def _poll_bind_result(
Returns:
A 4-tuple of ``(status, bot_appid, bot_encrypt_secret, user_openid)``.
* ``bot_encrypt_secret`` is AES-256-GCM encrypted decrypt it with
:func:`~gateway.platforms.qqbot.crypto.decrypt_secret` using the
key from :func:`create_bind_task`.
* ``user_openid`` is the OpenID of the person who scanned the code
(available when ``status == COMPLETED``).
Raises:
RuntimeError: If the API returns a non-zero ``retcode``.
"""
@@ -124,8 +102,8 @@ def _poll_bind_result(
url = f"https://{PORTAL_HOST}{ONBOARD_POLL_PATH}"
with httpx.Client(timeout=timeout, follow_redirects=True) as client:
resp = client.post(url, json={"task_id": task_id}, headers=get_api_headers())
async with httpx.AsyncClient(timeout=timeout, follow_redirects=True) as client:
resp = await client.post(url, json={"task_id": task_id}, headers=get_api_headers())
resp.raise_for_status()
data = resp.json()
@@ -144,77 +122,3 @@ def _poll_bind_result(
def build_connect_url(task_id: str) -> str:
"""Build the QR-code target URL for a given *task_id*."""
return QR_URL_TEMPLATE.format(task_id=quote(task_id))
# ---------------------------------------------------------------------------
# Public entry-point
# ---------------------------------------------------------------------------
_MAX_REFRESHES = 3
def qr_register(timeout_seconds: int = 600) -> Optional[dict]:
"""Run the QQBot scan-to-configure QR registration flow.
Mirrors ``feishu.qr_register()``: handles create display poll
decrypt in one call. Unexpected errors propagate to the caller.
:returns:
``{"app_id": ..., "client_secret": ..., "user_openid": ...}`` on
success, or ``None`` on failure / expiry / cancellation.
"""
deadline = time.monotonic() + timeout_seconds
for refresh_count in range(_MAX_REFRESHES + 1):
# ── Create bind task ──
try:
task_id, aes_key = _create_bind_task()
except Exception as exc:
logger.warning("[QQBot onboard] Failed to create bind task: %s", exc)
return None
url = build_connect_url(task_id)
# ── Display QR code + URL ──
print()
if _render_qr(url):
print(f" Scan the QR code above, or open this URL directly:\n {url}")
else:
print(f" Open this URL in QQ on your phone:\n {url}")
print(" Tip: pip install qrcode to display a scannable QR code here")
print()
# ── Poll loop ──
while time.monotonic() < deadline:
try:
status, app_id, encrypted_secret, user_openid = _poll_bind_result(task_id)
except Exception:
time.sleep(ONBOARD_POLL_INTERVAL)
continue
if status == BindStatus.COMPLETED:
client_secret = decrypt_secret(encrypted_secret, aes_key)
print()
print(f" QR scan complete! (App ID: {app_id})")
if user_openid:
print(f" Scanner's OpenID: {user_openid}")
return {
"app_id": app_id,
"client_secret": client_secret,
"user_openid": user_openid,
}
if status == BindStatus.EXPIRED:
if refresh_count >= _MAX_REFRESHES:
logger.warning("[QQBot onboard] QR code expired %d times — giving up", _MAX_REFRESHES)
return None
print(f"\n QR code expired, refreshing... ({refresh_count + 1}/{_MAX_REFRESHES})")
break # next for-loop iteration creates a new task
time.sleep(ONBOARD_POLL_INTERVAL)
else:
# deadline reached without completing
logger.warning("[QQBot onboard] Poll timed out after %ds", timeout_seconds)
return None
return None
+15 -57
View File
@@ -38,7 +38,6 @@ from gateway.platforms.base import (
BasePlatformAdapter,
MessageEvent,
MessageType,
ProcessingOutcome,
SendResult,
SUPPORTED_DOCUMENT_TYPES,
safe_url_for_log,
@@ -114,11 +113,6 @@ class SlackAdapter(BasePlatformAdapter):
# Cache for _fetch_thread_context results: cache_key → _ThreadContextCache
self._thread_context_cache: Dict[str, _ThreadContextCache] = {}
self._THREAD_CACHE_TTL = 60.0
# Track message IDs that should get reaction lifecycle (DMs / @mentions).
self._reacting_message_ids: set = set()
# Track active assistant thread status indicators so stop_typing can
# clear them (chat_id → thread_ts).
self._active_status_threads: Dict[str, str] = {}
async def connect(self) -> bool:
"""Connect to Slack via Socket Mode."""
@@ -368,7 +362,6 @@ class SlackAdapter(BasePlatformAdapter):
if not thread_ts:
return # Can only set status in a thread context
self._active_status_threads[chat_id] = thread_ts
try:
await self._get_client(chat_id).assistant_threads_setStatus(
channel_id=chat_id,
@@ -380,22 +373,6 @@ class SlackAdapter(BasePlatformAdapter):
# in an assistant-enabled context. Falls back to reactions.
logger.debug("[Slack] assistant.threads.setStatus failed: %s", e)
async def stop_typing(self, chat_id: str) -> None:
"""Clear the assistant thread status indicator."""
if not self._app:
return
thread_ts = self._active_status_threads.pop(chat_id, None)
if not thread_ts:
return
try:
await self._get_client(chat_id).assistant_threads_setStatus(
channel_id=chat_id,
thread_ts=thread_ts,
status="",
)
except Exception as e:
logger.debug("[Slack] assistant.threads.setStatus clear failed: %s", e)
def _dm_top_level_threads_as_sessions(self) -> bool:
"""Whether top-level Slack DMs get per-message session threads.
@@ -607,38 +584,6 @@ class SlackAdapter(BasePlatformAdapter):
logger.debug("[Slack] reactions.remove failed (%s): %s", emoji, e)
return False
def _reactions_enabled(self) -> bool:
"""Check if message reactions are enabled via config/env."""
return os.getenv("SLACK_REACTIONS", "true").lower() not in ("false", "0", "no")
async def on_processing_start(self, event: MessageEvent) -> None:
"""Add an in-progress reaction when message processing begins."""
if not self._reactions_enabled():
return
ts = getattr(event, "message_id", None)
if not ts or ts not in self._reacting_message_ids:
return
channel_id = getattr(event.source, "chat_id", None)
if channel_id:
await self._add_reaction(channel_id, ts, "eyes")
async def on_processing_complete(self, event: MessageEvent, outcome: ProcessingOutcome) -> None:
"""Swap the in-progress reaction for a final success/failure reaction."""
if not self._reactions_enabled():
return
ts = getattr(event, "message_id", None)
if not ts or ts not in self._reacting_message_ids:
return
self._reacting_message_ids.discard(ts)
channel_id = getattr(event.source, "chat_id", None)
if not channel_id:
return
await self._remove_reaction(channel_id, ts, "eyes")
if outcome == ProcessingOutcome.SUCCESS:
await self._add_reaction(channel_id, ts, "white_check_mark")
elif outcome == ProcessingOutcome.FAILURE:
await self._add_reaction(channel_id, ts, "x")
# ----- User identity resolution -----
async def _resolve_user_name(self, user_id: str, chat_id: str = "") -> str:
@@ -1268,12 +1213,17 @@ class SlackAdapter(BasePlatformAdapter):
# Only react when bot is directly addressed (DM or @mention).
# In listen-all channels (require_mention=false), reacting to every
# casual message would be noisy.
_should_react = (is_dm or is_mentioned) and self._reactions_enabled()
_should_react = is_dm or is_mentioned
if _should_react:
self._reacting_message_ids.add(ts)
await self._add_reaction(channel_id, ts, "eyes")
await self.handle_message(msg_event)
if _should_react:
await self._remove_reaction(channel_id, ts, "eyes")
await self._add_reaction(channel_id, ts, "white_check_mark")
# ----- Approval button support (Block Kit) -----
async def send_exec_approval(
@@ -1650,9 +1600,11 @@ class SlackAdapter(BasePlatformAdapter):
async def _download_slack_file(self, url: str, ext: str, audio: bool = False, team_id: str = "") -> str:
"""Download a Slack file using the bot token for auth, with retry."""
import asyncio
import httpx
bot_token = self._team_clients[team_id].token if team_id and team_id in self._team_clients else self.config.token
last_exc = None
async with httpx.AsyncClient(timeout=30.0, follow_redirects=True) as client:
for attempt in range(3):
@@ -1682,6 +1634,7 @@ class SlackAdapter(BasePlatformAdapter):
from gateway.platforms.base import cache_image_from_bytes
return cache_image_from_bytes(response.content, ext)
except (httpx.TimeoutException, httpx.HTTPStatusError) as exc:
last_exc = exc
if isinstance(exc, httpx.HTTPStatusError) and exc.response.status_code < 429:
raise
if attempt < 2:
@@ -1690,12 +1643,15 @@ class SlackAdapter(BasePlatformAdapter):
await asyncio.sleep(1.5 * (attempt + 1))
continue
raise
raise last_exc
async def _download_slack_file_bytes(self, url: str, team_id: str = "") -> bytes:
"""Download a Slack file and return raw bytes, with retry."""
import asyncio
import httpx
bot_token = self._team_clients[team_id].token if team_id and team_id in self._team_clients else self.config.token
last_exc = None
async with httpx.AsyncClient(timeout=30.0, follow_redirects=True) as client:
for attempt in range(3):
@@ -1707,6 +1663,7 @@ class SlackAdapter(BasePlatformAdapter):
response.raise_for_status()
return response.content
except (httpx.TimeoutException, httpx.HTTPStatusError) as exc:
last_exc = exc
if isinstance(exc, httpx.HTTPStatusError) and exc.response.status_code < 429:
raise
if attempt < 2:
@@ -1715,6 +1672,7 @@ class SlackAdapter(BasePlatformAdapter):
await asyncio.sleep(1.5 * (attempt + 1))
continue
raise
raise last_exc
# ── Channel mention gating ─────────────────────────────────────────────
+10 -71
View File
@@ -71,10 +71,8 @@ from gateway.platforms.base import (
SendResult,
cache_image_from_bytes,
cache_audio_from_bytes,
cache_video_from_bytes,
cache_document_from_bytes,
resolve_proxy_url,
SUPPORTED_VIDEO_TYPES,
SUPPORTED_DOCUMENT_TYPES,
utf16_len,
_prefix_within_utf16_limit,
@@ -496,13 +494,6 @@ class TelegramAdapter(BasePlatformAdapter):
"[%s] DM topic '%s' already exists in chat %s (will be mapped from incoming messages)",
self.name, name, chat_id,
)
elif "not a forum" in error_text or "forums_disabled" in error_text:
logger.warning(
"[%s] Cannot create DM topic '%s' in chat %s: Topics mode is not enabled. "
"The user must open the DM with this bot in Telegram, tap the bot name "
"at the top, and enable 'Topics' in chat settings before topics can be created.",
self.name, name, chat_id,
)
else:
logger.warning(
"[%s] Failed to create DM topic '%s' in chat %s: %s",
@@ -794,28 +785,8 @@ class TelegramAdapter(BasePlatformAdapter):
# Telegram pushes updates to our HTTP endpoint. This
# enables cloud platforms (Fly.io, Railway) to auto-wake
# suspended machines on inbound HTTP traffic.
#
# SECURITY: TELEGRAM_WEBHOOK_SECRET is REQUIRED. Without it,
# python-telegram-bot passes secret_token=None and the
# webhook endpoint accepts any HTTP POST — attackers can
# inject forged updates as if from Telegram. Refuse to
# start rather than silently run in fail-open mode.
# See GHSA-3vpc-7q5r-276h.
webhook_port = int(os.getenv("TELEGRAM_WEBHOOK_PORT", "8443"))
webhook_secret = os.getenv("TELEGRAM_WEBHOOK_SECRET", "").strip()
if not webhook_secret:
raise RuntimeError(
"TELEGRAM_WEBHOOK_SECRET is required when "
"TELEGRAM_WEBHOOK_URL is set. Without it, the "
"webhook endpoint accepts forged updates from "
"anyone who can reach it — see "
"https://github.com/NousResearch/hermes-agent/"
"security/advisories/GHSA-3vpc-7q5r-276h.\n\n"
"Generate a secret and set it in your .env:\n"
" export TELEGRAM_WEBHOOK_SECRET=\"$(openssl rand -hex 32)\"\n\n"
"Then register it with Telegram when setting the "
"webhook via setWebhook's secret_token parameter."
)
webhook_secret = os.getenv("TELEGRAM_WEBHOOK_SECRET", "").strip() or None
from urllib.parse import urlparse
webhook_path = urlparse(webhook_url).path or "/telegram"
@@ -1733,6 +1704,7 @@ class TelegramAdapter(BasePlatformAdapter):
return SendResult(success=False, error="Not connected")
try:
import os
if not os.path.exists(audio_path):
return SendResult(success=False, error=self._missing_media_path_error("Audio", audio_path))
@@ -1781,6 +1753,7 @@ class TelegramAdapter(BasePlatformAdapter):
return SendResult(success=False, error="Not connected")
try:
import os
if not os.path.exists(image_path):
return SendResult(success=False, error=self._missing_media_path_error("Image", image_path))
@@ -2093,7 +2066,7 @@ class TelegramAdapter(BasePlatformAdapter):
url = m.group(2).replace('\\', '\\\\').replace(')', '\\)')
return _ph(f'[{display}]({url})')
text = re.sub(r'\[([^\]]+)\]\(([^()]*(?:\([^()]*\)[^()]*)*)\)', _convert_link, text)
text = re.sub(r'\[([^\]]+)\]\(([^)]+)\)', _convert_link, text)
# 4) Convert markdown headers (## Title) → bold *Title*
def _convert_header(m):
@@ -2353,16 +2326,10 @@ class TelegramAdapter(BasePlatformAdapter):
DMs remain unrestricted. Group/supergroup messages are accepted when:
- the chat is explicitly allowlisted in ``free_response_chats``
- ``require_mention`` is disabled
- the message is a command
- the message replies to the bot
- the bot is @mentioned
- the text/caption matches a configured regex wake-word pattern
When ``require_mention`` is enabled, slash commands are not given
special treatment they must pass the same mention/reply checks
as any other group message. Users can still trigger commands via
the Telegram bot menu (``/command@botname``) or by explicitly
mentioning the bot (``@botname /command``), both of which are
recognised as mentions by :meth:`_message_mentions_bot`.
"""
if not self._is_group_chat(message):
return True
@@ -2377,6 +2344,8 @@ class TelegramAdapter(BasePlatformAdapter):
return True
if not self._telegram_require_mention():
return True
if is_command:
return True
if self._is_reply_to_bot(message):
return True
if self._message_mentions_bot(message):
@@ -2659,23 +2628,6 @@ class TelegramAdapter(BasePlatformAdapter):
except Exception as e:
logger.warning("[Telegram] Failed to cache audio: %s", e, exc_info=True)
elif msg.video:
try:
file_obj = await msg.video.get_file()
video_bytes = await file_obj.download_as_bytearray()
ext = ".mp4"
if getattr(file_obj, "file_path", None):
for candidate in SUPPORTED_VIDEO_TYPES:
if file_obj.file_path.lower().endswith(candidate):
ext = candidate
break
cached_path = cache_video_from_bytes(bytes(video_bytes), ext=ext)
event.media_urls = [cached_path]
event.media_types = [SUPPORTED_VIDEO_TYPES.get(ext, "video/mp4")]
logger.info("[Telegram] Cached user video at %s", cached_path)
except Exception as e:
logger.warning("[Telegram] Failed to cache video: %s", e, exc_info=True)
# Download document files to cache for agent processing
elif msg.document:
doc = msg.document
@@ -2692,21 +2644,6 @@ class TelegramAdapter(BasePlatformAdapter):
mime_to_ext = {v: k for k, v in SUPPORTED_DOCUMENT_TYPES.items()}
ext = mime_to_ext.get(doc.mime_type, "")
if not ext and doc.mime_type:
video_mime_to_ext = {v: k for k, v in SUPPORTED_VIDEO_TYPES.items()}
ext = video_mime_to_ext.get(doc.mime_type, "")
if ext in SUPPORTED_VIDEO_TYPES:
file_obj = await doc.get_file()
video_bytes = await file_obj.download_as_bytearray()
cached_path = cache_video_from_bytes(bytes(video_bytes), ext=ext)
event.media_urls = [cached_path]
event.media_types = [SUPPORTED_VIDEO_TYPES[ext]]
event.message_type = MessageType.VIDEO
logger.info("[Telegram] Cached user video document at %s", cached_path)
await self.handle_message(event)
return
# Check if supported
if ext not in SUPPORTED_DOCUMENT_TYPES:
supported_list = ", ".join(sorted(SUPPORTED_DOCUMENT_TYPES.keys()))
@@ -2845,11 +2782,13 @@ class TelegramAdapter(BasePlatformAdapter):
logger.info("[Telegram] Analyzing sticker at %s", cached_path)
from tools.vision_tools import vision_analyze_tool
import json as _json
result_json = await vision_analyze_tool(
image_url=cached_path,
user_prompt=STICKER_VISION_PROMPT,
)
result = json.loads(result_json)
result = _json.loads(result_json)
if result.get("success"):
description = result.get("analysis", "a sticker")
+5 -141
View File
@@ -624,16 +624,13 @@ class WeComAdapter(BasePlatformAdapter):
msgtype = str(body.get("msgtype") or "").lower()
if msgtype == "mixed":
_raw_mixed = body.get("mixed")
mixed = _raw_mixed if isinstance(_raw_mixed, dict) else {}
_raw_items = mixed.get("msg_item")
items = _raw_items if isinstance(_raw_items, list) else []
mixed = body.get("mixed") if isinstance(body.get("mixed"), dict) else {}
items = mixed.get("msg_item") if isinstance(mixed.get("msg_item"), list) else []
for item in items:
if not isinstance(item, dict):
continue
if str(item.get("msgtype") or "").lower() == "text":
_raw_text = item.get("text")
text_block = _raw_text if isinstance(_raw_text, dict) else {}
text_block = item.get("text") if isinstance(item.get("text"), dict) else {}
content = str(text_block.get("content") or "").strip()
if content:
text_parts.append(content)
@@ -675,10 +672,8 @@ class WeComAdapter(BasePlatformAdapter):
msgtype = str(body.get("msgtype") or "").lower()
if msgtype == "mixed":
_raw_mixed = body.get("mixed")
mixed = _raw_mixed if isinstance(_raw_mixed, dict) else {}
_raw_items = mixed.get("msg_item")
items = _raw_items if isinstance(_raw_items, list) else []
mixed = body.get("mixed") if isinstance(body.get("mixed"), dict) else {}
items = mixed.get("msg_item") if isinstance(mixed.get("msg_item"), list) else []
for item in items:
if not isinstance(item, dict):
continue
@@ -1464,134 +1459,3 @@ class WeComAdapter(BasePlatformAdapter):
"name": chat_id,
"type": "group" if chat_id and chat_id.lower().startswith("group") else "dm",
}
# ------------------------------------------------------------------
# QR code scan flow for obtaining bot credentials
# ------------------------------------------------------------------
_QR_GENERATE_URL = "https://work.weixin.qq.com/ai/qc/generate"
_QR_QUERY_URL = "https://work.weixin.qq.com/ai/qc/query_result"
_QR_CODE_PAGE = "https://work.weixin.qq.com/ai/qc/gen?source=hermes&scode="
_QR_POLL_INTERVAL = 3 # seconds
_QR_POLL_TIMEOUT = 300 # 5 minutes
def qr_scan_for_bot_info(
*,
timeout_seconds: int = _QR_POLL_TIMEOUT,
) -> Optional[Dict[str, str]]:
"""Run the WeCom QR scan flow to obtain bot_id and secret.
Fetches a QR code from WeCom, renders it in the terminal, and polls
until the user scans it or the timeout expires.
Returns ``{"bot_id": ..., "secret": ...}`` on success, ``None`` on
failure or timeout.
Note: the ``work.weixin.qq.com/ai/qc/{generate,query_result}`` endpoints
used here are not part of WeCom's public developer API — they back the
admin-console web UI's bot-creation flow and may change without notice.
The same pattern is used by the feishu/dingtalk QR setup wizards.
"""
try:
import urllib.request
import urllib.parse
except ImportError: # pragma: no cover
logger.error("urllib is required for WeCom QR scan")
return None
generate_url = f"{_QR_GENERATE_URL}?source=hermes"
# ── Step 1: Fetch QR code ──
print(" Connecting to WeCom...", end="", flush=True)
try:
req = urllib.request.Request(generate_url, headers={"User-Agent": "HermesAgent/1.0"})
with urllib.request.urlopen(req, timeout=15) as resp:
raw = json.loads(resp.read().decode("utf-8"))
except Exception as exc:
logger.error("WeCom QR: failed to fetch QR code: %s", exc)
print(f" failed: {exc}")
return None
data = raw.get("data") or {}
scode = str(data.get("scode") or "").strip()
auth_url = str(data.get("auth_url") or "").strip()
if not scode or not auth_url:
logger.error("WeCom QR: unexpected response format: %s", raw)
print(" failed: unexpected response format")
return None
print(" done.")
# ── Step 2: Render QR code in terminal ──
print()
qr_rendered = False
try:
import qrcode as _qrcode
qr = _qrcode.QRCode()
qr.add_data(auth_url)
qr.make(fit=True)
qr.print_ascii(invert=True)
qr_rendered = True
except ImportError:
pass
except Exception:
pass
page_url = f"{_QR_CODE_PAGE}{urllib.parse.quote(scode)}"
if qr_rendered:
print(f"\n Scan the QR code above, or open this URL directly:\n {page_url}")
else:
print(f" Open this URL in WeCom on your phone:\n\n {page_url}\n")
print(" Tip: pip install qrcode to display a scannable QR code here next time")
print()
print(" Fetching configuration results...", end="", flush=True)
# ── Step 3: Poll for result ──
import time
deadline = time.time() + timeout_seconds
query_url = f"{_QR_QUERY_URL}?scode={urllib.parse.quote(scode)}"
poll_count = 0
while time.time() < deadline:
try:
req = urllib.request.Request(query_url, headers={"User-Agent": "HermesAgent/1.0"})
with urllib.request.urlopen(req, timeout=10) as resp:
result = json.loads(resp.read().decode("utf-8"))
except Exception as exc:
logger.debug("WeCom QR poll error: %s", exc)
time.sleep(_QR_POLL_INTERVAL)
continue
poll_count += 1
# Print a dot on every poll so progress is visible within 3s.
print(".", end="", flush=True)
result_data = result.get("data") or {}
status = str(result_data.get("status") or "").lower()
if status == "success":
print() # newline after "Fetching configuration results..." dots
bot_info = result_data.get("bot_info") or {}
bot_id = str(bot_info.get("botid") or bot_info.get("bot_id") or "").strip()
secret = str(bot_info.get("secret") or "").strip()
if bot_id and secret:
return {"bot_id": bot_id, "secret": secret}
logger.warning(
"WeCom QR: scan reported success but bot_info missing or incomplete: %s",
result_data,
)
print(
" QR scan reported success but no bot credentials were returned.\n"
" This usually means the bot was not actually created on the WeCom side.\n"
" Falling back to manual credential entry."
)
return None
time.sleep(_QR_POLL_INTERVAL)
print() # newline after dots
print(f" QR scan timed out ({timeout_seconds // 60} minutes). Please try again.")
return None
+12 -90
View File
@@ -66,37 +66,6 @@ def _kill_port_process(port: int) -> None:
except Exception:
pass
def _terminate_bridge_process(proc, *, force: bool = False) -> None:
"""Terminate the bridge process using process-tree semantics where possible."""
if _IS_WINDOWS:
cmd = ["taskkill", "/PID", str(proc.pid), "/T"]
if force:
cmd.append("/F")
try:
result = subprocess.run(
cmd,
capture_output=True,
text=True,
timeout=10,
)
except FileNotFoundError:
if force:
proc.kill()
else:
proc.terminate()
return
if result.returncode != 0:
details = (result.stderr or result.stdout or "").strip()
raise OSError(details or f"taskkill failed for PID {proc.pid}")
return
import signal
sig = signal.SIGTERM if not force else signal.SIGKILL
os.killpg(os.getpgid(proc.pid), sig)
import sys
sys.path.insert(0, str(Path(__file__).resolve().parents[2]))
@@ -149,10 +118,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
- bridge_script: Path to the Node.js bridge script
- bridge_port: Port for HTTP communication (default: 3000)
- session_path: Path to store WhatsApp session data
- dm_policy: "open" | "allowlist" | "disabled" how DMs are handled (default: "open")
- allow_from: List of sender IDs allowed in DMs (when dm_policy="allowlist")
- group_policy: "open" | "allowlist" | "disabled" which groups are processed (default: "open")
- group_allow_from: List of group JIDs allowed (when group_policy="allowlist")
"""
# WhatsApp message limits — practical UX limit, not protocol max.
@@ -175,10 +140,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
get_hermes_dir("platforms/whatsapp/session", "whatsapp/session")
))
self._reply_prefix: Optional[str] = config.extra.get("reply_prefix")
self._dm_policy = str(config.extra.get("dm_policy") or os.getenv("WHATSAPP_DM_POLICY", "open")).strip().lower()
self._allow_from = self._coerce_allow_list(config.extra.get("allow_from") or config.extra.get("allowFrom"))
self._group_policy = str(config.extra.get("group_policy") or os.getenv("WHATSAPP_GROUP_POLICY", "open")).strip().lower()
self._group_allow_from = self._coerce_allow_list(config.extra.get("group_allow_from") or config.extra.get("groupAllowFrom"))
self._mention_patterns = self._compile_mention_patterns()
self._message_queue: asyncio.Queue = asyncio.Queue()
self._bridge_log_fh = None
@@ -202,33 +163,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
return {str(part).strip() for part in raw if str(part).strip()}
return {part.strip() for part in str(raw).split(",") if part.strip()}
@staticmethod
def _coerce_allow_list(raw) -> set[str]:
"""Parse allow_from / group_allow_from from config or env var."""
if raw is None:
return set()
if isinstance(raw, list):
return {str(part).strip() for part in raw if str(part).strip()}
return {part.strip() for part in str(raw).split(",") if part.strip()}
def _is_dm_allowed(self, sender_id: str) -> bool:
"""Check whether a DM from the given sender should be processed."""
if self._dm_policy == "disabled":
return False
if self._dm_policy == "allowlist":
return sender_id in self._allow_from
# "open" — all DMs allowed
return True
def _is_group_allowed(self, chat_id: str) -> bool:
"""Check whether a group chat should be processed."""
if self._group_policy == "disabled":
return False
if self._group_policy == "allowlist":
return chat_id in self._group_allow_from
# "open" — all groups allowed
return True
def _compile_mention_patterns(self):
patterns = self.config.extra.get("mention_patterns")
if patterns is None:
@@ -321,18 +255,8 @@ class WhatsAppAdapter(BasePlatformAdapter):
return cleaned.strip() or text
def _should_process_message(self, data: Dict[str, Any]) -> bool:
is_group = data.get("isGroup", False)
if is_group:
chat_id = str(data.get("chatId") or "")
if not self._is_group_allowed(chat_id):
return False
else:
sender_id = str(data.get("senderId") or data.get("from") or "")
if not self._is_dm_allowed(sender_id):
return False
# DMs that pass the policy gate are always processed
if not data.get("isGroup"):
return True
# Group messages: check mention / free-response settings
chat_id = str(data.get("chatId") or "")
if chat_id in self._whatsapp_free_response_chats():
return True
@@ -399,6 +323,7 @@ class WhatsAppAdapter(BasePlatformAdapter):
# Check if bridge is already running and connected
import aiohttp
import asyncio
try:
async with aiohttp.ClientSession() as session:
async with session.get(
@@ -567,14 +492,22 @@ class WhatsAppAdapter(BasePlatformAdapter):
"""Stop the WhatsApp bridge and clean up any orphaned processes."""
if self._bridge_process:
try:
# Kill the entire process group so child node processes die too
import signal
try:
_terminate_bridge_process(self._bridge_process, force=False)
if _IS_WINDOWS:
self._bridge_process.terminate()
else:
os.killpg(os.getpgid(self._bridge_process.pid), signal.SIGTERM)
except (ProcessLookupError, PermissionError):
self._bridge_process.terminate()
await asyncio.sleep(1)
if self._bridge_process.poll() is None:
try:
_terminate_bridge_process(self._bridge_process, force=True)
if _IS_WINDOWS:
self._bridge_process.kill()
else:
os.killpg(os.getpgid(self._bridge_process.pid), signal.SIGKILL)
except (ProcessLookupError, PermissionError):
self._bridge_process.kill()
except Exception as e:
@@ -840,17 +773,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
"""Send a video natively via bridge — plays inline in WhatsApp."""
return await self._send_media_to_bridge(chat_id, video_path, "video", caption)
async def send_voice(
self,
chat_id: str,
audio_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send an audio file as a WhatsApp voice message via bridge."""
return await self._send_media_to_bridge(chat_id, audio_path, "audio", caption)
async def send_document(
self,
chat_id: str,
+95 -214
View File
@@ -30,8 +30,6 @@ from pathlib import Path
from datetime import datetime
from typing import Dict, Optional, Any, List
from agent.account_usage import fetch_account_usage, render_account_usage_lines
# --- Agent cache tuning ---------------------------------------------------
# Bounds the per-session AIAgent cache to prevent unbounded growth in
# long-lived gateways (each AIAgent holds LLM clients, tool schemas,
@@ -88,7 +86,7 @@ sys.path.insert(0, str(Path(__file__).parent.parent))
# Resolve Hermes home directory (respects HERMES_HOME override)
from hermes_constants import get_hermes_home
from utils import atomic_yaml_write, base_url_host_matches, is_truthy_value
from utils import atomic_yaml_write, is_truthy_value
_hermes_home = get_hermes_home()
# Load environment variables from ~/.hermes/.env first.
@@ -281,7 +279,6 @@ from gateway.session import (
build_session_context,
build_session_context_prompt,
build_session_key,
is_shared_multi_user_session,
)
from gateway.delivery import DeliveryRouter
from gateway.platforms.base import (
@@ -710,26 +707,7 @@ class GatewayRunner:
self._session_db = SessionDB()
except Exception as e:
logger.debug("SQLite session store not available: %s", e)
# Opportunistic state.db maintenance: prune ended sessions older
# than sessions.retention_days + optional VACUUM. Tracks last-run
# in state_meta so it only actually executes once per
# sessions.min_interval_hours. Gateway is long-lived so blocking
# a few seconds once per day is acceptable; failures are logged
# but never raised.
if self._session_db is not None:
try:
from hermes_cli.config import load_config as _load_full_config
_sess_cfg = (_load_full_config().get("sessions") or {})
if _sess_cfg.get("auto_prune", False):
self._session_db.maybe_auto_prune_and_vacuum(
retention_days=int(_sess_cfg.get("retention_days", 90)),
min_interval_hours=int(_sess_cfg.get("min_interval_hours", 24)),
vacuum=bool(_sess_cfg.get("vacuum_after_prune", True)),
)
except Exception as exc:
logger.debug("state.db auto-maintenance skipped: %s", exc)
# DM pairing store for code-based user authorization
from gateway.pairing import PairingStore
self.pairing_store = PairingStore()
@@ -1288,6 +1266,7 @@ class GatewayRunner:
the prefill_messages_file key in ~/.hermes/config.yaml.
Relative paths are resolved from ~/.hermes/.
"""
import json as _json
file_path = os.getenv("HERMES_PREFILL_MESSAGES_FILE", "")
if not file_path:
try:
@@ -1309,7 +1288,7 @@ class GatewayRunner:
return []
try:
with open(path, "r", encoding="utf-8") as f:
data = json.load(f)
data = _json.load(f)
if not isinstance(data, list):
logger.warning("Prefill messages file must contain a JSON array: %s", path)
return []
@@ -1688,32 +1667,12 @@ class GatewayRunner:
notified: set = set()
for session_key in active:
source = None
try:
if getattr(self, "session_store", None) is not None:
self.session_store._ensure_loaded()
entry = self.session_store._entries.get(session_key)
source = getattr(entry, "origin", None) if entry else None
except Exception as e:
logger.debug(
"Failed to load session origin for shutdown notification %s: %s",
session_key,
e,
)
if source is not None:
platform_str = source.platform.value
chat_id = source.chat_id
thread_id = source.thread_id
else:
# Fall back to parsing the session key when no persisted
# origin is available (legacy sessions/tests).
_parsed = _parse_session_key(session_key)
if not _parsed:
continue
platform_str = _parsed["platform"]
chat_id = _parsed["chat_id"]
thread_id = _parsed.get("thread_id")
# Parse platform + chat_id from the session key.
_parsed = _parse_session_key(session_key)
if not _parsed:
continue
platform_str = _parsed["platform"]
chat_id = _parsed["chat_id"]
# Deduplicate: one notification per chat, even if multiple
# sessions (different users/threads) share the same chat.
@@ -1729,6 +1688,7 @@ class GatewayRunner:
# Include thread_id if present so the message lands in the
# correct forum topic / thread.
thread_id = _parsed.get("thread_id")
metadata = {"thread_id": thread_id} if thread_id else None
await adapter.send(chat_id, msg, metadata=metadata)
@@ -1981,39 +1941,6 @@ class GatewayRunner:
"or configure platform allowlists (e.g., TELEGRAM_ALLOWED_USERS=your_id)."
)
# Discover Python plugins before shell hooks so plugin block
# decisions take precedence in tie cases. The CLI startup path
# does this via an explicit call in hermes_cli/main.py; the
# gateway lazily imports run_agent inside per-request handlers,
# so the discover_plugins() side-effect in model_tools.py is NOT
# guaranteed to have run by the time we reach this point.
try:
from hermes_cli.plugins import discover_plugins
discover_plugins()
except Exception:
logger.debug(
"plugin discovery failed at gateway startup", exc_info=True,
)
# Register declarative shell hooks from cli-config.yaml. Gateway
# has no TTY, so consent has to come from one of the three opt-in
# channels (--accept-hooks on launch, HERMES_ACCEPT_HOOKS env var,
# or hooks_auto_accept: true in config.yaml). We pass
# accept_hooks=False here and let register_from_config resolve
# the effective value from env + config itself — the CLI-side
# registration already honored --accept-hooks, and re-reading
# hooks_auto_accept here would just duplicate that lookup.
# Failures are logged but must never block gateway startup.
try:
from hermes_cli.config import load_config
from agent.shell_hooks import register_from_config
register_from_config(load_config(), accept_hooks=False)
except Exception:
logger.debug(
"shell-hook registration failed at gateway startup",
exc_info=True,
)
# Discover and load event hooks
self.hooks.discover_and_load()
@@ -3296,9 +3223,10 @@ class GatewayRunner:
return "Usage: /queue <prompt>"
adapter = self.adapters.get(source.platform)
if adapter:
queued_event = MessageEvent(
from gateway.platforms.base import MessageEvent as _ME, MessageType as _MT
queued_event = _ME(
text=queued_text,
message_type=MessageType.TEXT,
message_type=_MT.TEXT,
source=event.source,
message_id=event.message_id,
channel_prompt=event.channel_prompt,
@@ -3320,9 +3248,10 @@ class GatewayRunner:
# Agent hasn't started yet — queue as turn-boundary fallback.
adapter = self.adapters.get(source.platform)
if adapter:
queued_event = MessageEvent(
from gateway.platforms.base import MessageEvent as _ME, MessageType as _MT
queued_event = _ME(
text=steer_text,
message_type=MessageType.TEXT,
message_type=_MT.TEXT,
source=event.source,
message_id=event.message_id,
channel_prompt=event.channel_prompt,
@@ -3342,9 +3271,10 @@ class GatewayRunner:
# Running agent is missing or lacks steer() — fall back to queue.
adapter = self.adapters.get(source.platform)
if adapter:
queued_event = MessageEvent(
from gateway.platforms.base import MessageEvent as _ME, MessageType as _MT
queued_event = _ME(
text=steer_text,
message_type=MessageType.TEXT,
message_type=_MT.TEXT,
source=event.source,
message_id=event.message_id,
channel_prompt=event.channel_prompt,
@@ -3693,8 +3623,9 @@ class GatewayRunner:
plugin_handler = get_plugin_command_handler(command.replace("_", "-"))
if plugin_handler:
user_args = event.get_command_args().strip()
import asyncio as _aio
result = plugin_handler(user_args)
if asyncio.iscoroutine(result):
if _aio.iscoroutine(result):
result = await result
return str(result) if result else None
except Exception as e:
@@ -3811,12 +3742,12 @@ class GatewayRunner:
history = history or []
message_text = event.text or ""
_is_shared_multi_user = is_shared_multi_user_session(
source,
group_sessions_per_user=getattr(self.config, "group_sessions_per_user", True),
thread_sessions_per_user=getattr(self.config, "thread_sessions_per_user", False),
_is_shared_thread = (
source.chat_type != "dm"
and source.thread_id
and not getattr(self.config, "thread_sessions_per_user", False)
)
if _is_shared_multi_user and source.user_name:
if _is_shared_thread and source.user_name:
message_text = f"[{source.user_name}] {message_text}"
if event.media_urls:
@@ -3876,7 +3807,9 @@ class GatewayRunner:
for i, path in enumerate(event.media_urls):
mtype = event.media_types[i] if i < len(event.media_types) else ""
if mtype in ("", "application/octet-stream"):
_ext = os.path.splitext(path)[1].lower()
import os as _os2
_ext = _os2.path.splitext(path)[1].lower()
if _ext in _TEXT_EXTENSIONS:
mtype = "text/plain"
else:
@@ -3886,10 +3819,13 @@ class GatewayRunner:
if not mtype.startswith(("application/", "text/")):
continue
basename = os.path.basename(path)
import os as _os
import re as _re
basename = _os.path.basename(path)
parts = basename.split("_", 2)
display_name = parts[2] if len(parts) >= 3 else basename
display_name = re.sub(r'[^\w.\- ]', '_', display_name)
display_name = _re.sub(r'[^\w.\- ]', '_', display_name)
if mtype.startswith("text/"):
context_note = (
@@ -3906,14 +3842,14 @@ class GatewayRunner:
message_text = f"{context_note}\n\n{message_text}"
if getattr(event, "reply_to_text", None) and event.reply_to_message_id:
# Always inject the reply-to pointer — even when the quoted text
# already appears in history. The prefix isn't deduplication, it's
# disambiguation: it tells the agent *which* prior message the user
# is referencing. History can contain the same or similar text
# multiple times, and without an explicit pointer the agent has to
# guess (or answer for both subjects). Token overhead is minimal.
reply_snippet = event.reply_to_text[:500]
message_text = f'[Replying to: "{reply_snippet}"]\n\n{message_text}'
found_in_history = any(
reply_snippet[:200] in (msg.get("content") or "")
for msg in history
if msg.get("role") in ("assistant", "user", "tool")
)
if not found_in_history:
message_text = f'[Replying to: "{reply_snippet}"]\n\n{message_text}'
if "@" in message_text:
try:
@@ -3921,11 +3857,9 @@ class GatewayRunner:
from agent.model_metadata import get_model_context_length
_msg_cwd = os.environ.get("TERMINAL_CWD", os.path.expanduser("~"))
_msg_runtime = _resolve_runtime_agent_kwargs()
_msg_ctx_len = get_model_context_length(
self._model,
base_url=self._base_url or _msg_runtime.get("base_url") or "",
api_key=_msg_runtime.get("api_key") or "",
base_url=self._base_url or "",
)
_ctx_result = await preprocess_context_references_async(
message_text,
@@ -5187,6 +5121,7 @@ class GatewayRunner:
# Save the requester's routing info so the new gateway process can
# notify them once it comes back online.
try:
import json as _json
notify_data = {
"platform": event.source.platform.value if event.source.platform else None,
"chat_id": event.source.chat_id,
@@ -5194,7 +5129,7 @@ class GatewayRunner:
if event.source.thread_id:
notify_data["thread_id"] = event.source.thread_id
(_hermes_home / ".restart_notify.json").write_text(
json.dumps(notify_data)
_json.dumps(notify_data)
)
except Exception as e:
logger.debug("Failed to write restart notify file: %s", e)
@@ -5205,14 +5140,16 @@ class GatewayRunner:
# marker persists so the new gateway can still detect a delayed
# /restart redelivery from Telegram. Overwritten on every /restart.
try:
import json as _json
import time as _time
dedup_data = {
"platform": event.source.platform.value if event.source.platform else None,
"requested_at": time.time(),
"requested_at": _time.time(),
}
if event.platform_update_id is not None:
dedup_data["update_id"] = event.platform_update_id
(_hermes_home / ".restart_last_processed.json").write_text(
json.dumps(dedup_data)
_json.dumps(dedup_data)
)
except Exception as e:
logger.debug("Failed to write restart dedup marker: %s", e)
@@ -5260,10 +5197,12 @@ class GatewayRunner:
return False
try:
import json as _json
import time as _time
marker_path = _hermes_home / ".restart_last_processed.json"
if not marker_path.exists():
return False
data = json.loads(marker_path.read_text())
data = _json.loads(marker_path.read_text())
except Exception:
return False
@@ -5277,7 +5216,7 @@ class GatewayRunner:
# swallow a fresh /restart from the user.
requested_at = data.get("requested_at")
if isinstance(requested_at, (int, float)):
if time.time() - requested_at > 300:
if _time.time() - requested_at > 300:
return False
return event.platform_update_id <= recorded_uid
@@ -5668,7 +5607,7 @@ class GatewayRunner:
# Cache notice
cache_enabled = (
(base_url_host_matches(result.base_url or "", "openrouter.ai") and "claude" in result.new_model.lower())
("openrouter" in (result.base_url or "").lower() and "claude" in result.new_model.lower())
or result.api_mode == "anthropic_messages"
)
if cache_enabled:
@@ -6475,11 +6414,6 @@ class GatewayRunner:
session_id=task_id,
platform=platform_key,
user_id=source.user_id,
user_name=source.user_name,
chat_id=source.chat_id,
chat_name=source.chat_name,
chat_type=source.chat_type,
thread_id=source.thread_id,
session_db=self._session_db,
fallback_model=self._fallback_model,
)
@@ -7240,7 +7174,6 @@ class GatewayRunner:
tool_calls=msg.get("tool_calls"),
tool_call_id=msg.get("tool_call_id"),
reasoning=msg.get("reasoning"),
reasoning_content=msg.get("reasoning_content"),
)
except Exception:
pass # Best-effort copy
@@ -7289,38 +7222,6 @@ class GatewayRunner:
if cached:
agent = cached[0]
# Resolve provider/base_url/api_key for the account-usage fetch.
# Prefer the live agent; fall back to persisted billing data on the
# SessionDB row so `/usage` still returns account info between turns
# when no agent is resident.
provider = getattr(agent, "provider", None) if agent and agent is not _AGENT_PENDING_SENTINEL else None
base_url = getattr(agent, "base_url", None) if agent and agent is not _AGENT_PENDING_SENTINEL else None
api_key = getattr(agent, "api_key", None) if agent and agent is not _AGENT_PENDING_SENTINEL else None
if not provider and getattr(self, "_session_db", None) is not None:
try:
_entry_for_billing = self.session_store.get_or_create_session(source)
persisted = self._session_db.get_session(_entry_for_billing.session_id) or {}
except Exception:
persisted = {}
provider = provider or persisted.get("billing_provider")
base_url = base_url or persisted.get("billing_base_url")
# Fetch account usage off the event loop so slow provider APIs don't
# block the gateway. Failures are non-fatal -- account_lines stays [].
account_lines: list[str] = []
if provider:
try:
account_snapshot = await asyncio.to_thread(
fetch_account_usage,
provider,
base_url=base_url,
api_key=api_key,
)
except Exception:
account_snapshot = None
if account_snapshot:
account_lines = render_account_usage_lines(account_snapshot, markdown=True)
if agent and hasattr(agent, "session_total_tokens") and agent.session_api_calls > 0:
lines = []
@@ -7378,10 +7279,6 @@ class GatewayRunner:
if ctx.compression_count:
lines.append(f"Compressions: {ctx.compression_count}")
if account_lines:
lines.append("")
lines.extend(account_lines)
return "\n".join(lines)
# No agent at all -- check session history for a rough count
@@ -7391,26 +7288,23 @@ class GatewayRunner:
from agent.model_metadata import estimate_messages_tokens_rough
msgs = [m for m in history if m.get("role") in ("user", "assistant") and m.get("content")]
approx = estimate_messages_tokens_rough(msgs)
lines = [
"📊 **Session Info**",
f"Messages: {len(msgs)}",
f"Estimated context: ~{approx:,} tokens",
"_(Detailed usage available after the first agent response)_",
]
if account_lines:
lines.append("")
lines.extend(account_lines)
return "\n".join(lines)
if account_lines:
return "\n".join(account_lines)
return (
f"📊 **Session Info**\n"
f"Messages: {len(msgs)}\n"
f"Estimated context: ~{approx:,} tokens\n"
f"_(Detailed usage available after the first agent response)_"
)
return "No usage data available for this session."
async def _handle_insights_command(self, event: MessageEvent) -> str:
"""Handle /insights command -- show usage insights and analytics."""
import asyncio as _asyncio
args = event.get_command_args().strip()
# Normalize Unicode dashes (Telegram/iOS auto-converts -- to em/en dash)
args = re.sub(r'[\u2012\u2013\u2014\u2015](days|source)', r'--\1', args)
import re as _re
args = _re.sub(r'[\u2012\u2013\u2014\u2015](days|source)', r'--\1', args)
days = 30
source = None
@@ -7439,7 +7333,7 @@ class GatewayRunner:
from hermes_state import SessionDB
from agent.insights import InsightsEngine
loop = asyncio.get_running_loop()
loop = _asyncio.get_running_loop()
def _run_insights():
db = SessionDB()
@@ -7797,6 +7691,9 @@ class GatewayRunner:
the messenger. The user's next message is intercepted by
``_handle_message`` and written to ``.update_response``.
"""
import json
import re as _re
pending_path = _hermes_home / ".update_pending.json"
claimed_path = _hermes_home / ".update_pending.claimed.json"
output_path = _hermes_home / ".update_output.txt"
@@ -7841,7 +7738,7 @@ class GatewayRunner:
return
def _strip_ansi(text: str) -> str:
return re.sub(r'\x1b\[[0-9;]*[A-Za-z]', '', text)
return _re.sub(r'\x1b\[[0-9;]*[A-Za-z]', '', text)
bytes_sent = 0
last_stream_time = loop.time()
@@ -7989,6 +7886,9 @@ class GatewayRunner:
cannot resolve the adapter (e.g. after a gateway restart where the
platform hasn't reconnected yet).
"""
import json
import re as _re
pending_path = _hermes_home / ".update_pending.json"
claimed_path = _hermes_home / ".update_pending.claimed.json"
output_path = _hermes_home / ".update_output.txt"
@@ -8034,7 +7934,7 @@ class GatewayRunner:
if adapter and chat_id:
# Strip ANSI escape codes for clean display
output = re.sub(r'\x1b\[[0-9;]*m', '', output).strip()
output = _re.sub(r'\x1b\[[0-9;]*m', '', output).strip()
if output:
if len(output) > 3500:
output = "" + output[-3500:]
@@ -8067,12 +7967,14 @@ class GatewayRunner:
async def _send_restart_notification(self) -> None:
"""Notify the chat that initiated /restart that the gateway is back."""
import json as _json
notify_path = _hermes_home / ".restart_notify.json"
if not notify_path.exists():
return
try:
data = json.loads(notify_path.read_text())
data = _json.loads(notify_path.read_text())
platform_str = data.get("platform")
chat_id = data.get("chat_id")
thread_id = data.get("thread_id")
@@ -8158,6 +8060,7 @@ class GatewayRunner:
The enriched message string with vision descriptions prepended.
"""
from tools.vision_tools import vision_analyze_tool
import json as _json
analysis_prompt = (
"Describe everything visible in this image in thorough detail. "
@@ -8173,7 +8076,7 @@ class GatewayRunner:
image_url=path,
user_prompt=analysis_prompt,
)
result = json.loads(result_json)
result = _json.loads(result_json)
if result.get("success"):
description = result.get("analysis", "")
enriched_parts.append(
@@ -8232,6 +8135,7 @@ class GatewayRunner:
return disabled_note
from tools.transcription_tools import transcribe_audio
import asyncio
enriched_parts = []
for path in audio_paths:
@@ -8367,6 +8271,7 @@ class GatewayRunner:
if not adapter:
return
try:
from gateway.platforms.base import MessageEvent, MessageType
synth_event = MessageEvent(
text=synth_text,
message_type=MessageType.TEXT,
@@ -8471,6 +8376,7 @@ class GatewayRunner:
break
if adapter and source.chat_id:
try:
from gateway.platforms.base import MessageEvent, MessageType
synth_event = MessageEvent(
text=synth_text,
message_type=MessageType.TEXT,
@@ -8992,6 +8898,7 @@ class GatewayRunner:
if _streaming_enabled:
try:
from gateway.stream_consumer import GatewayStreamConsumer, StreamConsumerConfig
from gateway.config import Platform
_adapter = self.adapters.get(source.platform)
if _adapter:
_adapter_supports_edit = getattr(_adapter, "SUPPORTS_MESSAGE_EDITING", True)
@@ -9275,7 +9182,8 @@ class GatewayRunner:
if args:
from agent.display import get_tool_preview_max_len
_pl = get_tool_preview_max_len()
args_str = json.dumps(args, ensure_ascii=False, default=str)
import json as _json
args_str = _json.dumps(args, ensure_ascii=False, default=str)
# When tool_preview_length is 0 (default), don't truncate
# in verbose mode — the user explicitly asked for full
# detail. Platform message-length limits handle the rest.
@@ -9341,7 +9249,8 @@ class GatewayRunner:
# Skip tool progress for platforms that don't support message
# editing (e.g. iMessage/BlueBubbles) — each progress update
# would become a separate message bubble, which is noisy.
if type(adapter).edit_message is BasePlatformAdapter.edit_message:
from gateway.platforms.base import BasePlatformAdapter as _BaseAdapter
if type(adapter).edit_message is _BaseAdapter.edit_message:
while not progress_queue.empty():
try:
progress_queue.get_nowait()
@@ -9723,11 +9632,6 @@ class GatewayRunner:
session_id=session_id,
platform=platform_key,
user_id=source.user_id,
user_name=source.user_name,
chat_id=source.chat_id,
chat_name=source.chat_name,
chat_type=source.chat_type,
thread_id=source.thread_id,
gateway_session_key=session_key,
session_db=self._session_db,
fallback_model=self._fallback_model,
@@ -10794,6 +10698,7 @@ async def start_gateway(config: Optional[GatewayConfig] = None, replace: bool =
# The PID file is scoped to HERMES_HOME, so future multi-profile
# setups (each profile using a distinct HERMES_HOME) will naturally
# allow concurrent instances without tripping this guard.
import time as _time
from gateway.status import get_running_pid, remove_pid_file, terminate_pid
existing_pid = get_running_pid()
if existing_pid is not None and existing_pid != os.getpid():
@@ -10833,7 +10738,7 @@ async def start_gateway(config: Optional[GatewayConfig] = None, replace: bool =
for _ in range(20):
try:
os.kill(existing_pid, 0)
time.sleep(0.5)
_time.sleep(0.5)
except (ProcessLookupError, PermissionError):
break # Process is gone
else:
@@ -10844,16 +10749,10 @@ async def start_gateway(config: Optional[GatewayConfig] = None, replace: bool =
)
try:
terminate_pid(existing_pid, force=True)
time.sleep(0.5)
_time.sleep(0.5)
except (ProcessLookupError, PermissionError, OSError):
pass
remove_pid_file()
# remove_pid_file() is a no-op when the PID doesn't match.
# Force-unlink to cover the old-process-crashed case.
try:
(get_hermes_home() / "gateway.pid").unlink(missing_ok=True)
except Exception:
pass
# Clean up any takeover marker the old process didn't consume
# (e.g. SIGKILL'd before its shutdown handler could read it).
try:
@@ -10992,30 +10891,6 @@ async def start_gateway(config: Optional[GatewayConfig] = None, replace: bool =
else:
logger.info("Skipping signal handlers (not running in main thread).")
# Claim the PID file BEFORE bringing up any platform adapters.
# This closes the --replace race window: two concurrent `gateway run
# --replace` invocations both pass the termination-wait above, but
# only the winner of the O_CREAT|O_EXCL race below will ever open
# Telegram polling, Discord gateway sockets, etc. The loser exits
# cleanly before touching any external service.
import atexit
from gateway.status import write_pid_file, remove_pid_file, get_running_pid
_current_pid = get_running_pid()
if _current_pid is not None and _current_pid != os.getpid():
logger.error(
"Another gateway instance (PID %d) started during our startup. "
"Exiting to avoid double-running.", _current_pid
)
return False
try:
write_pid_file()
except FileExistsError:
logger.error(
"PID file race lost to another gateway instance. Exiting."
)
return False
atexit.register(remove_pid_file)
# Start the gateway
success = await runner.start()
if not success:
@@ -11025,6 +10900,12 @@ async def start_gateway(config: Optional[GatewayConfig] = None, replace: bool =
logger.error("Gateway exiting cleanly: %s", runner.exit_reason)
return True
# Write PID file so CLI can detect gateway is running
import atexit
from gateway.status import write_pid_file, remove_pid_file
write_pid_file()
atexit.register(remove_pid_file)
# Start background cron ticker so scheduled jobs fire automatically.
# Pass the event loop so cron delivery can use live adapters (E2EE support).
cron_stop = threading.Event()
+11 -42
View File
@@ -152,7 +152,6 @@ class SessionContext:
source: SessionSource
connected_platforms: List[Platform]
home_channels: Dict[Platform, HomeChannel]
shared_multi_user_session: bool = False
# Session metadata
session_key: str = ""
@@ -167,7 +166,6 @@ class SessionContext:
"home_channels": {
p.value: hc.to_dict() for p, hc in self.home_channels.items()
},
"shared_multi_user_session": self.shared_multi_user_session,
"session_key": self.session_key,
"session_id": self.session_id,
"created_at": self.created_at.isoformat() if self.created_at else None,
@@ -242,16 +240,18 @@ def build_session_context_prompt(
lines.append(f"**Channel Topic:** {context.source.chat_topic}")
# User identity.
# In shared multi-user sessions (shared threads OR shared non-thread groups
# when group_sessions_per_user=False), multiple users contribute to the same
# conversation. Don't pin a single user name in the system prompt — it
# changes per-turn and would bust the prompt cache. Instead, note that
# this is a multi-user session; individual sender names are prefixed on
# each user message by the gateway.
if context.shared_multi_user_session:
session_label = "Multi-user thread" if context.source.thread_id else "Multi-user session"
# In shared thread sessions (non-DM with thread_id), multiple users
# contribute to the same conversation. Don't pin a single user name
# in the system prompt — it changes per-turn and would bust the prompt
# cache. Instead, note that this is a multi-user thread; individual
# sender names are prefixed on each user message by the gateway.
_is_shared_thread = (
context.source.chat_type != "dm"
and context.source.thread_id
)
if _is_shared_thread:
lines.append(
f"**Session type:** {session_label} — messages are prefixed "
"**Session type:** Multi-user thread — messages are prefixed "
"with [sender name]. Multiple users may participate."
)
elif context.source.user_name:
@@ -467,27 +467,6 @@ class SessionEntry:
)
def is_shared_multi_user_session(
source: SessionSource,
*,
group_sessions_per_user: bool = True,
thread_sessions_per_user: bool = False,
) -> bool:
"""Return True when a non-DM session is shared across participants.
Mirrors the isolation rules in :func:`build_session_key`:
- DMs are never shared.
- Threads are shared unless ``thread_sessions_per_user`` is True.
- Non-thread group/channel sessions are shared unless
``group_sessions_per_user`` is True (default: True = isolated).
"""
if source.chat_type == "dm":
return False
if source.thread_id:
return not thread_sessions_per_user
return not group_sessions_per_user
def build_session_key(
source: SessionSource,
group_sessions_per_user: bool = True,
@@ -1147,10 +1126,6 @@ class SessionStore:
tool_name=message.get("tool_name"),
tool_calls=message.get("tool_calls"),
tool_call_id=message.get("tool_call_id"),
reasoning=message.get("reasoning") if message.get("role") == "assistant" else None,
reasoning_content=message.get("reasoning_content") if message.get("role") == "assistant" else None,
reasoning_details=message.get("reasoning_details") if message.get("role") == "assistant" else None,
codex_reasoning_items=message.get("codex_reasoning_items") if message.get("role") == "assistant" else None,
)
except Exception as e:
logger.debug("Session DB operation failed: %s", e)
@@ -1180,7 +1155,6 @@ class SessionStore:
tool_calls=msg.get("tool_calls"),
tool_call_id=msg.get("tool_call_id"),
reasoning=msg.get("reasoning") if role == "assistant" else None,
reasoning_content=msg.get("reasoning_content") if role == "assistant" else None,
reasoning_details=msg.get("reasoning_details") if role == "assistant" else None,
codex_reasoning_items=msg.get("codex_reasoning_items") if role == "assistant" else None,
)
@@ -1264,11 +1238,6 @@ def build_session_context(
source=source,
connected_platforms=connected,
home_channels=home_channels,
shared_multi_user_session=is_shared_multi_user_session(
source,
group_sessions_per_user=getattr(config, "group_sessions_per_user", True),
thread_sessions_per_user=getattr(config, "thread_sessions_per_user", False),
),
)
if session_entry:
-9
View File
@@ -56,12 +56,6 @@ _SESSION_USER_ID: ContextVar = ContextVar("HERMES_SESSION_USER_ID", default=_UNS
_SESSION_USER_NAME: ContextVar = ContextVar("HERMES_SESSION_USER_NAME", default=_UNSET)
_SESSION_KEY: ContextVar = ContextVar("HERMES_SESSION_KEY", default=_UNSET)
# Cron auto-delivery vars — set per-job in run_job() so concurrent jobs
# don't clobber each other's delivery targets.
_CRON_AUTO_DELIVER_PLATFORM: ContextVar = ContextVar("HERMES_CRON_AUTO_DELIVER_PLATFORM", default=_UNSET)
_CRON_AUTO_DELIVER_CHAT_ID: ContextVar = ContextVar("HERMES_CRON_AUTO_DELIVER_CHAT_ID", default=_UNSET)
_CRON_AUTO_DELIVER_THREAD_ID: ContextVar = ContextVar("HERMES_CRON_AUTO_DELIVER_THREAD_ID", default=_UNSET)
_VAR_MAP = {
"HERMES_SESSION_PLATFORM": _SESSION_PLATFORM,
"HERMES_SESSION_CHAT_ID": _SESSION_CHAT_ID,
@@ -70,9 +64,6 @@ _VAR_MAP = {
"HERMES_SESSION_USER_ID": _SESSION_USER_ID,
"HERMES_SESSION_USER_NAME": _SESSION_USER_NAME,
"HERMES_SESSION_KEY": _SESSION_KEY,
"HERMES_CRON_AUTO_DELIVER_PLATFORM": _CRON_AUTO_DELIVER_PLATFORM,
"HERMES_CRON_AUTO_DELIVER_CHAT_ID": _CRON_AUTO_DELIVER_CHAT_ID,
"HERMES_CRON_AUTO_DELIVER_THREAD_ID": _CRON_AUTO_DELIVER_THREAD_ID,
}
+2 -22
View File
@@ -225,28 +225,8 @@ def _cleanup_invalid_pid_path(pid_path: Path, *, cleanup_stale: bool) -> None:
def write_pid_file() -> None:
"""Write the current process PID and metadata to the gateway PID file.
Uses atomic O_CREAT | O_EXCL creation so that concurrent --replace
invocations race: exactly one process wins and the rest get
FileExistsError.
"""
path = _get_pid_path()
path.parent.mkdir(parents=True, exist_ok=True)
record = json.dumps(_build_pid_record())
try:
fd = os.open(path, os.O_CREAT | os.O_EXCL | os.O_WRONLY)
except FileExistsError:
raise # Let caller decide: another gateway is racing us
try:
with os.fdopen(fd, "w", encoding="utf-8") as f:
f.write(record)
except Exception:
try:
path.unlink(missing_ok=True)
except OSError:
pass
raise
"""Write the current process PID and metadata to the gateway PID file."""
_write_json_file(_get_pid_path(), _build_pid_record())
def write_runtime_status(
+6 -25
View File
@@ -72,8 +72,6 @@ DEFAULT_QWEN_BASE_URL = "https://portal.qwen.ai/v1"
DEFAULT_GITHUB_MODELS_BASE_URL = "https://api.githubcopilot.com"
DEFAULT_COPILOT_ACP_BASE_URL = "acp://copilot"
DEFAULT_OLLAMA_CLOUD_BASE_URL = "https://ollama.com/v1"
STEPFUN_STEP_PLAN_INTL_BASE_URL = "https://api.stepfun.ai/step_plan/v1"
STEPFUN_STEP_PLAN_CN_BASE_URL = "https://api.stepfun.com/step_plan/v1"
CODEX_OAUTH_CLIENT_ID = "app_EMoamEEZ73f0CkXaXp7hrann"
CODEX_OAUTH_TOKEN_URL = "https://auth.openai.com/oauth/token"
CODEX_ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 120
@@ -170,11 +168,8 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
id="kimi-coding",
name="Kimi / Moonshot",
auth_type="api_key",
# Legacy platform.moonshot.ai keys use this endpoint (OpenAI-compat).
# sk-kimi- (Kimi Code) keys are auto-redirected to api.kimi.com/coding
# by _resolve_kimi_base_url() below.
inference_base_url="https://api.moonshot.ai/v1",
api_key_env_vars=("KIMI_API_KEY", "KIMI_CODING_API_KEY"),
api_key_env_vars=("KIMI_API_KEY",),
base_url_env_var="KIMI_BASE_URL",
),
"kimi-coding-cn": ProviderConfig(
@@ -184,14 +179,6 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
inference_base_url="https://api.moonshot.cn/v1",
api_key_env_vars=("KIMI_CN_API_KEY",),
),
"stepfun": ProviderConfig(
id="stepfun",
name="StepFun Step Plan",
auth_type="api_key",
inference_base_url=STEPFUN_STEP_PLAN_INTL_BASE_URL,
api_key_env_vars=("STEPFUN_API_KEY",),
base_url_env_var="STEPFUN_BASE_URL",
),
"arcee": ProviderConfig(
id="arcee",
name="Arcee AI",
@@ -353,16 +340,10 @@ def get_anthropic_key() -> str:
# =============================================================================
# Kimi Code (kimi.com/code) issues keys prefixed "sk-kimi-" that only work
# on api.kimi.com/coding. Legacy keys from platform.moonshot.ai work on
# api.moonshot.ai/v1 (the old default). Auto-detect when user hasn't set
# on api.kimi.com/coding/v1. Legacy keys from platform.moonshot.ai work on
# api.moonshot.ai/v1 (the default). Auto-detect when user hasn't set
# KIMI_BASE_URL explicitly.
#
# Note: the base URL intentionally has NO /v1 suffix. The /coding endpoint
# speaks the Anthropic Messages protocol, and the anthropic SDK appends
# "/v1/messages" internally — so "/coding" + SDK suffix → "/coding/v1/messages"
# (the correct target). Using "/coding/v1" here would produce
# "/coding/v1/v1/messages" (a 404).
KIMI_CODE_BASE_URL = "https://api.kimi.com/coding"
KIMI_CODE_BASE_URL = "https://api.kimi.com/coding/v1"
def _resolve_kimi_base_url(api_key: str, default_url: str, env_override: str) -> str:
@@ -1002,7 +983,6 @@ def resolve_provider(
"x-ai": "xai", "x.ai": "xai", "grok": "xai",
"kimi": "kimi-coding", "kimi-for-coding": "kimi-coding", "moonshot": "kimi-coding",
"kimi-cn": "kimi-coding-cn", "moonshot-cn": "kimi-coding-cn",
"step": "stepfun", "stepfun-coding-plan": "stepfun",
"arcee-ai": "arcee", "arceeai": "arcee",
"minimax-china": "minimax-cn", "minimax_cn": "minimax-cn",
"claude": "anthropic", "claude-code": "anthropic",
@@ -3395,7 +3375,7 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
)
from hermes_cli.models import (
_PROVIDER_MODELS, get_pricing_for_provider,
_PROVIDER_MODELS, get_pricing_for_provider, filter_nous_free_models,
check_nous_free_tier, partition_nous_models_by_tier,
)
model_ids = _PROVIDER_MODELS.get("nous", [])
@@ -3404,6 +3384,7 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
unavailable_models: list = []
if model_ids:
pricing = get_pricing_for_provider("nous")
model_ids = filter_nous_free_models(model_ids, pricing)
free_tier = check_nous_free_tier()
if free_tier:
model_ids, unavailable_models = partition_nous_models_by_tier(
+63 -37
View File
@@ -152,23 +152,6 @@ def auth_add_command(args) -> None:
pool = load_pool(provider)
# Clear ALL suppressions for this provider — re-adding a credential is
# a strong signal the user wants auth re-enabled. This covers env:*
# (shell-exported vars), gh_cli (copilot), claude_code, qwen-cli,
# device_code (codex), etc. One consistent re-engagement pattern.
# Matches the Codex device_code re-link pattern that predates this.
if not provider.startswith(CUSTOM_POOL_PREFIX):
try:
from hermes_cli.auth import (
_load_auth_store,
unsuppress_credential_source,
)
suppressed = _load_auth_store().get("suppressed_sources", {})
for src in list(suppressed.get(provider, []) or []):
unsuppress_credential_source(provider, src)
except Exception:
pass
if requested_type == AUTH_TYPE_API_KEY:
token = (getattr(args, "api_key", None) or "").strip()
if not token:
@@ -355,28 +338,71 @@ def auth_remove_command(args) -> None:
raise SystemExit(f'No credential matching "{target}" for provider {provider}.')
print(f"Removed {provider} credential #{index} ({removed.label})")
# Unified removal dispatch. Every credential source Hermes reads from
# (env vars, external OAuth files, auth.json blocks, custom config)
# has a RemovalStep registered in agent.credential_sources. The step
# handles its source-specific cleanup and we centralise suppression +
# user-facing output here so every source behaves identically from
# the user's perspective.
from agent.credential_sources import find_removal_step
from hermes_cli.auth import suppress_credential_source
# If this was an env-seeded credential, also clear the env var from .env
# so it doesn't get re-seeded on the next load_pool() call.
if removed.source.startswith("env:"):
env_var = removed.source[len("env:"):]
if env_var:
from hermes_cli.config import remove_env_value
cleared = remove_env_value(env_var)
if cleared:
print(f"Cleared {env_var} from .env")
step = find_removal_step(provider, removed.source)
if step is None:
# Unregistered source — e.g. "manual", which has nothing external
# to clean up. The pool entry is already gone; we're done.
return
# If this was a singleton-seeded credential (OAuth device_code, hermes_pkce),
# clear the underlying auth store / credential file so it doesn't get
# re-seeded on the next load_pool() call.
elif provider == "openai-codex" and (
removed.source == "device_code" or removed.source.endswith(":device_code")
):
# Codex tokens live in TWO places: the Hermes auth store and
# ~/.codex/auth.json (the Codex CLI shared file). On every refresh,
# refresh_codex_oauth_pure() writes to both. So clearing only the
# Hermes auth store is not enough — _seed_from_singletons() will
# auto-import from ~/.codex/auth.json on the next load_pool() and
# the removal is instantly undone. Mark the source as suppressed
# so auto-import is skipped; leave ~/.codex/auth.json untouched so
# the Codex CLI itself keeps working.
from hermes_cli.auth import (
_load_auth_store, _save_auth_store, _auth_store_lock,
suppress_credential_source,
)
with _auth_store_lock():
auth_store = _load_auth_store()
providers_dict = auth_store.get("providers")
if isinstance(providers_dict, dict) and provider in providers_dict:
del providers_dict[provider]
_save_auth_store(auth_store)
print(f"Cleared {provider} OAuth tokens from auth store")
suppress_credential_source(provider, "device_code")
print("Suppressed openai-codex device_code source — it will not be re-seeded.")
print("Note: Codex CLI credentials still live in ~/.codex/auth.json")
print("Run `hermes auth add openai-codex` to re-enable if needed.")
result = step.remove_fn(provider, removed)
for line in result.cleaned:
print(line)
if result.suppress:
suppress_credential_source(provider, removed.source)
for line in result.hints:
print(line)
elif removed.source == "device_code" and provider == "nous":
from hermes_cli.auth import (
_load_auth_store, _save_auth_store, _auth_store_lock,
)
with _auth_store_lock():
auth_store = _load_auth_store()
providers_dict = auth_store.get("providers")
if isinstance(providers_dict, dict) and provider in providers_dict:
del providers_dict[provider]
_save_auth_store(auth_store)
print(f"Cleared {provider} OAuth tokens from auth store")
elif removed.source == "hermes_pkce" and provider == "anthropic":
from hermes_constants import get_hermes_home
oauth_file = get_hermes_home() / ".anthropic_oauth.json"
if oauth_file.exists():
oauth_file.unlink()
print("Cleared Hermes Anthropic OAuth credentials")
elif removed.source == "claude_code" and provider == "anthropic":
from hermes_cli.auth import suppress_credential_source
suppress_credential_source(provider, "claude_code")
print("Suppressed claude_code credential — it will not be re-seeded.")
print("Note: Claude Code credentials still live in ~/.claude/.credentials.json")
print("Run `hermes auth add anthropic` to re-enable if needed.")
def auth_reset_command(args) -> None:
+1
View File
@@ -24,6 +24,7 @@ _FORWARD_COMPAT_TEMPLATE_MODELS: List[tuple[str, tuple[str, ...]]] = [
("gpt-5.4-mini", ("gpt-5.3-codex", "gpt-5.2-codex")),
("gpt-5.4", ("gpt-5.3-codex", "gpt-5.2-codex")),
("gpt-5.3-codex", ("gpt-5.2-codex",)),
("gpt-5.3-codex-spark", ("gpt-5.3-codex", "gpt-5.2-codex")),
]
+11 -26
View File
@@ -497,8 +497,9 @@ def _collect_gateway_skill_entries(
# --- Tier 1: Plugin slash commands (never trimmed) ---------------------
plugin_pairs: list[tuple[str, str]] = []
try:
from hermes_cli.plugins import get_plugin_commands
plugin_cmds = get_plugin_commands()
from hermes_cli.plugins import get_plugin_manager
pm = get_plugin_manager()
plugin_cmds = getattr(pm, "_plugin_commands", {})
for cmd_name in sorted(plugin_cmds):
name = sanitize_name(cmd_name) if sanitize_name else cmd_name
if not name:
@@ -924,22 +925,12 @@ class SlashCommandCompleter(Completer):
display_meta=meta,
)
# If the user typed @file: / @folder: (or just @file / @folder with
# no colon yet), delegate to path completions. Accepting the bare
# form lets the picker surface directories as soon as the user has
# typed `@folder`, without requiring them to first accept the static
# `@folder:` hint and re-trigger completion.
# If the user typed @file: or @folder:, delegate to path completions
for prefix in ("@file:", "@folder:"):
bare = prefix[:-1]
if word == bare or word.startswith(prefix):
want_dir = prefix == "@folder:"
path_part = '' if word == bare else word[len(prefix):]
if word.startswith(prefix):
path_part = word[len(prefix):] or "."
expanded = os.path.expanduser(path_part)
if not expanded or expanded == ".":
search_dir, match_prefix = ".", ""
elif expanded.endswith("/"):
if expanded.endswith("/"):
search_dir, match_prefix = expanded, ""
else:
search_dir = os.path.dirname(expanded) or "."
@@ -955,21 +946,15 @@ class SlashCommandCompleter(Completer):
for entry in sorted(entries):
if match_prefix and not entry.lower().startswith(prefix_lower):
continue
full_path = os.path.join(search_dir, entry)
is_dir = os.path.isdir(full_path)
# `@folder:` must only surface directories; `@file:` only
# regular files. Without this filter `@folder:` listed
# every .env / .gitignore in the cwd, defeating the
# explicit prefix and confusing users expecting a
# directory picker.
if want_dir != is_dir:
continue
if count >= limit:
break
full_path = os.path.join(search_dir, entry)
is_dir = os.path.isdir(full_path)
display_path = os.path.relpath(full_path)
suffix = "/" if is_dir else ""
kind = "folder" if is_dir else "file"
meta = "dir" if is_dir else _file_size_label(full_path)
completion = f"{prefix}{display_path}{suffix}"
completion = f"@{kind}:{display_path}{suffix}"
yield Completion(
completion,
start_position=-len(word),
+7 -222
View File
@@ -13,7 +13,6 @@ This module provides:
"""
import copy
import logging
import os
import platform
import re
@@ -25,7 +24,6 @@ from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Any, Optional, List, Tuple
logger = logging.getLogger(__name__)
_IS_WINDOWS = platform.system() == "Windows"
_ENV_VAR_NAME_RE = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
@@ -387,26 +385,6 @@ DEFAULT_CONFIG = {
# (terminal and execute_code). Skill-declared required_environment_variables
# are passed through automatically; this list is for non-skill use cases.
"env_passthrough": [],
# Extra files to source in the login shell when building the
# per-session environment snapshot. Use this when tools like nvm,
# pyenv, asdf, or custom PATH entries are registered by files that
# a bash login shell would skip — most commonly ``~/.bashrc``
# (bash doesn't source bashrc in non-interactive login mode) or
# zsh-specific files like ``~/.zshrc`` / ``~/.zprofile``.
# Paths support ``~`` / ``${VAR}``. Missing files are silently
# skipped. When empty, Hermes auto-appends ``~/.bashrc`` if the
# snapshot shell is bash (this is the ``auto_source_bashrc``
# behaviour — disable with that key if you want strict login-only
# semantics).
"shell_init_files": [],
# When true (default), Hermes sources ``~/.bashrc`` in the login
# shell used to build the environment snapshot. This captures
# PATH additions, shell functions, and aliases defined in the
# user's bashrc — which a plain ``bash -l -c`` would otherwise
# miss because bash skips bashrc in non-interactive login mode.
# Turn this off if you have a bashrc that misbehaves when sourced
# non-interactively (e.g. one that hard-exits on TTY checks).
"auto_source_bashrc": True,
"docker_image": "nikolaik/python-nodejs:python3.11-nodejs20",
"docker_forward_env": [],
# Explicit environment variables to set inside Docker containers.
@@ -613,10 +591,6 @@ DEFAULT_CONFIG = {
},
# Text-to-speech configuration
# Each provider supports an optional `max_text_length:` override for the
# per-request input-character cap. Omit it to use the provider's documented
# limit (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k model-aware,
# Gemini 5000, Edge 5000, Mistral 4000, NeuTTS/KittenTTS 2000).
"tts": {
"provider": "edge", # "edge" (free) | "elevenlabs" (premium) | "openai" | "xai" | "minimax" | "mistral" | "neutts" (local)
"edge": {
@@ -669,7 +643,6 @@ DEFAULT_CONFIG = {
"record_key": "ctrl+b",
"max_recording_seconds": 120,
"auto_tts": False,
"beep_enabled": True, # Play record start/stop beeps in CLI voice mode
"silence_threshold": 200, # RMS below this = silence (0-32767)
"silence_duration": 3.0, # Seconds of silence before auto-stop
},
@@ -716,12 +689,6 @@ DEFAULT_CONFIG = {
# independent of the parent's max_iterations)
"reasoning_effort": "", # reasoning effort for subagents: "xhigh", "high", "medium",
# "low", "minimal", "none" (empty = inherit parent's level)
"max_concurrent_children": 3, # max parallel children per batch; floor of 1 enforced, no ceiling
# Orchestrator role controls (see tools/delegate_tool.py:_get_max_spawn_depth
# and _get_orchestrator_enabled). Values are clamped to [1, 3] with a
# warning log if out of range.
"max_spawn_depth": 1, # depth cap (1 = flat [default], 2 = orchestrator→leaf, 3 = three-level)
"orchestrator_enabled": True, # kill switch for role="orchestrator"
},
# Ephemeral prefill messages file — JSON list of {role, content} dicts
@@ -734,20 +701,6 @@ DEFAULT_CONFIG = {
# always goes to ~/.hermes/skills/.
"skills": {
"external_dirs": [], # e.g. ["~/.agents/skills", "/shared/team-skills"]
# Substitute ${HERMES_SKILL_DIR} and ${HERMES_SESSION_ID} in SKILL.md
# content with the absolute skill directory and the active session id
# before the agent sees it. Lets skill authors reference bundled
# scripts without the agent having to join paths.
"template_vars": True,
# Pre-execute inline shell snippets written as !`cmd` in SKILL.md
# body. Their stdout is inlined into the skill message before the
# agent reads it, so skills can inject dynamic context (dates, git
# state, detected tool versions, …). Off by default because any
# content from the skill author runs on the host without approval;
# only enable for skill sources you trust.
"inline_shell": False,
# Timeout (seconds) for each !`cmd` snippet when inline_shell is on.
"inline_shell_timeout": 10,
},
# Honcho AI-native memory -- reads ~/.honcho/config.json as single source of truth.
@@ -818,21 +771,6 @@ DEFAULT_CONFIG = {
"command_allowlist": [],
# User-defined quick commands that bypass the agent loop (type: exec only)
"quick_commands": {},
# Shell-script hooks — declarative bridge that invokes shell scripts
# on plugin-hook events (pre_tool_call, post_tool_call, pre_llm_call,
# subagent_stop, etc.). Each entry maps an event name to a list of
# {matcher, command, timeout} dicts. First registration of a new
# command prompts the user for consent; subsequent runs reuse the
# stored approval from ~/.hermes/shell-hooks-allowlist.json.
# See `website/docs/user-guide/features/hooks.md` for schema + examples.
"hooks": {},
# Auto-accept shell-hook registrations without a TTY prompt. Also
# toggleable per-invocation via --accept-hooks or HERMES_ACCEPT_HOOKS=1.
# Gateway / cron / non-interactive runs need this (or one of the other
# channels) to pick up newly-added hooks.
"hooks_auto_accept": False,
# Custom personalities — add your own entries here
# Supports string format: {"name": "system prompt"}
# Or dict format: {"name": {"description": "...", "system_prompt": "...", "tone": "...", "style": "..."}}
@@ -856,11 +794,6 @@ DEFAULT_CONFIG = {
# Wrap delivered cron responses with a header (task name) and footer
# ("The agent cannot see this message"). Set to false for clean output.
"wrap_response": True,
# Maximum number of due jobs to run in parallel per tick.
# null/0 = unbounded (limited only by thread count).
# 1 = serial (pre-v0.9 behaviour).
# Also overridable via HERMES_CRON_MAX_PARALLEL env var.
"max_parallel_jobs": None,
},
# execute_code settings — controls the tool used for programmatic tool calls.
@@ -893,36 +826,8 @@ DEFAULT_CONFIG = {
"force_ipv4": False,
},
# Session storage — controls automatic cleanup of ~/.hermes/state.db.
# state.db accumulates every session, message, tool call, and FTS5 index
# entry forever. Without auto-pruning, a heavy user (gateway + cron)
# reports 384MB+ databases with 68K+ messages, which slows down FTS5
# inserts, /resume listing, and insights queries.
"sessions": {
# When true, prune ended sessions older than retention_days once
# per (roughly) min_interval_hours at CLI/gateway/cron startup.
# Only touches ended sessions — active sessions are always preserved.
# Default false: session history is valuable for search recall, and
# silently deleting it could surprise users. Opt in explicitly.
"auto_prune": False,
# How many days of ended-session history to keep. Matches the
# default of ``hermes sessions prune``.
"retention_days": 90,
# VACUUM after a prune that actually deleted rows. SQLite does not
# reclaim disk space on DELETE — freed pages are just reused on
# subsequent INSERTs — so without VACUUM the file stays bloated
# even after pruning. VACUUM blocks writes for a few seconds per
# 100MB, so it only runs at startup, and only when prune deleted
# ≥1 session.
"vacuum_after_prune": True,
# Minimum hours between auto-maintenance runs (avoids repeating
# the sweep on every CLI invocation). Tracked via state_meta in
# state.db itself, so it's shared across all processes.
"min_interval_hours": 24,
},
# Config schema version - bump this when adding new required fields
"_config_version": 22,
"_config_version": 20,
}
# =============================================================================
@@ -1078,22 +983,6 @@ OPTIONAL_ENV_VARS = {
"category": "provider",
"advanced": True,
},
"STEPFUN_API_KEY": {
"description": "StepFun Step Plan API key",
"prompt": "StepFun Step Plan API key",
"url": "https://platform.stepfun.com/",
"password": True,
"category": "provider",
"advanced": True,
},
"STEPFUN_BASE_URL": {
"description": "StepFun Step Plan base URL override",
"prompt": "StepFun Step Plan base URL (leave empty for default)",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
"ARCEEAI_API_KEY": {
"description": "Arcee AI API key",
"prompt": "Arcee AI API key",
@@ -1961,53 +1850,12 @@ def _normalize_custom_provider_entry(
if not isinstance(entry, dict):
return None
# Accept camelCase aliases commonly used in hand-written configs.
_CAMEL_ALIASES: Dict[str, str] = {
"apiKey": "api_key",
"baseUrl": "base_url",
"apiMode": "api_mode",
"keyEnv": "key_env",
"defaultModel": "default_model",
"contextLength": "context_length",
"rateLimitDelay": "rate_limit_delay",
}
_KNOWN_KEYS = {
"name", "api", "url", "base_url", "api_key", "key_env",
"api_mode", "transport", "model", "default_model", "models",
"context_length", "rate_limit_delay",
}
for camel, snake in _CAMEL_ALIASES.items():
if camel in entry and snake not in entry:
logger.warning(
"providers.%s: camelCase key '%s' auto-mapped to '%s' "
"(use snake_case to avoid this warning)",
provider_key or "?", camel, snake,
)
entry[snake] = entry[camel]
unknown = set(entry.keys()) - _KNOWN_KEYS - set(_CAMEL_ALIASES.keys())
if unknown:
logger.warning(
"providers.%s: unknown config keys ignored: %s",
provider_key or "?", ", ".join(sorted(unknown)),
)
from urllib.parse import urlparse
base_url = ""
for url_key in ("base_url", "url", "api"):
for url_key in ("api", "url", "base_url"):
raw_url = entry.get(url_key)
if isinstance(raw_url, str) and raw_url.strip():
candidate = raw_url.strip()
parsed = urlparse(candidate)
if parsed.scheme and parsed.netloc:
base_url = candidate
break
else:
logger.warning(
"providers.%s: '%s' value '%s' is not a valid URL "
"(no scheme or host) — skipped",
provider_key or "?", url_key, candidate,
)
base_url = raw_url.strip()
break
if not base_url:
return None
@@ -2146,7 +1994,6 @@ _KNOWN_ROOT_KEYS = {
"fallback_providers", "credential_pool_strategies", "toolsets",
"agent", "terminal", "display", "compression", "delegation",
"auxiliary", "custom_providers", "context", "memory", "gateway",
"sessions",
}
# Valid fields inside a custom_providers list entry
@@ -2304,6 +2151,7 @@ def print_config_warnings(config: Optional[Dict[str, Any]] = None) -> None:
if not issues:
return
import sys
lines = ["\033[33m⚠ Config issues detected in config.yaml:\033[0m"]
for ci in issues:
marker = "\033[31m✗\033[0m" if ci.severity == "error" else "\033[33m⚠\033[0m"
@@ -2318,6 +2166,7 @@ def warn_deprecated_cwd_env_vars(config: Optional[Dict[str, Any]] = None) -> Non
These env vars are deprecated the canonical setting is terminal.cwd
in config.yaml. Prints a migration hint to stderr.
"""
import os, sys
messaging_cwd = os.environ.get("MESSAGING_CWD")
terminal_cwd_env = os.environ.get("TERMINAL_CWD")
@@ -2635,71 +2484,6 @@ def migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, A
else:
print(" ✓ Removed unused compression.summary_* keys")
# ── Version 20 → 21: plugins are now opt-in; grandfather existing user plugins ──
# The loader now requires plugins to appear in ``plugins.enabled`` before
# loading. Existing installs had all discovered plugins loading by default
# (minus anything in ``plugins.disabled``). To avoid silently breaking
# those setups on upgrade, populate ``plugins.enabled`` with the set of
# currently-installed user plugins that aren't already disabled.
#
# Bundled plugins (shipped in the repo itself) are NOT grandfathered —
# they ship off for everyone, including existing users, so any user who
# wants one has to opt in explicitly.
if current_ver < 21:
config = read_raw_config()
plugins_cfg = config.get("plugins")
if not isinstance(plugins_cfg, dict):
plugins_cfg = {}
# Only migrate if the enabled allow-list hasn't been set yet.
if "enabled" not in plugins_cfg:
disabled = plugins_cfg.get("disabled", []) or []
if not isinstance(disabled, list):
disabled = []
disabled_set = set(disabled)
# Scan ``$HERMES_HOME/plugins/`` for currently installed user plugins.
grandfathered: List[str] = []
try:
user_plugins_dir = get_hermes_home() / "plugins"
if user_plugins_dir.is_dir():
for child in sorted(user_plugins_dir.iterdir()):
if not child.is_dir():
continue
manifest_file = child / "plugin.yaml"
if not manifest_file.exists():
manifest_file = child / "plugin.yml"
if not manifest_file.exists():
continue
try:
with open(manifest_file) as _mf:
manifest = yaml.safe_load(_mf) or {}
except Exception:
manifest = {}
name = manifest.get("name") or child.name
if name in disabled_set:
continue
grandfathered.append(name)
except Exception:
grandfathered = []
plugins_cfg["enabled"] = grandfathered
config["plugins"] = plugins_cfg
save_config(config)
results["config_added"].append(
f"plugins.enabled (opt-in allow-list, {len(grandfathered)} grandfathered)"
)
if not quiet:
if grandfathered:
print(
f" ✓ Plugins now opt-in: grandfathered "
f"{len(grandfathered)} existing plugin(s) into plugins.enabled"
)
else:
print(
" ✓ Plugins now opt-in: no existing plugins to grandfather. "
"Use `hermes plugins enable <name>` to activate."
)
if current_ver < latest_ver and not quiet:
print(f"Config version: {current_ver}{latest_ver}")
@@ -3325,6 +3109,7 @@ def _check_non_ascii_credential(key: str, value: str) -> str:
bad_chars.append(f" position {i}: {ch!r} (U+{ord(ch):04X})")
sanitized = value.encode("ascii", errors="ignore").decode("ascii")
import sys
print(
f"\n Warning: {key} contains non-ASCII characters that will break API requests.\n"
f" This usually happens when copy-pasting from a PDF, rich-text editor,\n"
+5 -11
View File
@@ -30,7 +30,6 @@ load_dotenv(PROJECT_ROOT / ".env", override=False, encoding="utf-8")
from hermes_cli.colors import Colors, color
from hermes_constants import OPENROUTER_MODELS_URL
from utils import base_url_host_matches
_PROVIDER_ENV_HINTS = (
@@ -912,7 +911,6 @@ def run_doctor(args):
_apikey_providers = [
("Z.AI / GLM", ("GLM_API_KEY", "ZAI_API_KEY", "Z_AI_API_KEY"), "https://api.z.ai/api/paas/v4/models", "GLM_BASE_URL", True),
("Kimi / Moonshot", ("KIMI_API_KEY",), "https://api.moonshot.ai/v1/models", "KIMI_BASE_URL", True),
("StepFun Step Plan", ("STEPFUN_API_KEY",), "https://api.stepfun.ai/step_plan/v1/models", "STEPFUN_BASE_URL", True),
("Kimi / Moonshot (China)", ("KIMI_CN_API_KEY",), "https://api.moonshot.cn/v1/models", None, True),
("Arcee AI", ("ARCEEAI_API_KEY",), "https://api.arcee.ai/api/v1/models", "ARCEE_BASE_URL", True),
("DeepSeek", ("DEEPSEEK_API_KEY",), "https://api.deepseek.com/v1/models", "DEEPSEEK_BASE_URL", True),
@@ -944,22 +942,18 @@ def run_doctor(args):
try:
import httpx
_base = os.getenv(_base_env, "") if _base_env else ""
# Auto-detect Kimi Code keys (sk-kimi-) → api.kimi.com/coding/v1
# (OpenAI-compat surface, which exposes /models for health check).
# Auto-detect Kimi Code keys (sk-kimi-) → api.kimi.com
if not _base and _key.startswith("sk-kimi-"):
_base = "https://api.kimi.com/coding/v1"
# Anthropic-compat endpoints (/anthropic, api.kimi.com/coding
# with no /v1) don't support /models. Rewrite to the OpenAI-compat
# /v1 surface for health checks.
# Anthropic-compat endpoints (/anthropic) don't support /models.
# Rewrite to the OpenAI-compat /v1 surface for health checks.
if _base and _base.rstrip("/").endswith("/anthropic"):
from agent.auxiliary_client import _to_openai_base_url
_base = _to_openai_base_url(_base)
if base_url_host_matches(_base, "api.kimi.com") and _base.rstrip("/").endswith("/coding"):
_base = _base.rstrip("/") + "/v1"
_url = (_base.rstrip("/") + "/models") if _base else _default_url
_headers = {"Authorization": f"Bearer {_key}"}
if base_url_host_matches(_base, "api.kimi.com"):
_headers["User-Agent"] = "claude-code/0.1.0"
if "api.kimi.com" in _url.lower():
_headers["User-Agent"] = "KimiCLI/1.30.0"
_resp = httpx.get(
_url,
headers=_headers,
+1 -52
View File
@@ -3,7 +3,6 @@
from __future__ import annotations
import os
import sys
from pathlib import Path
from dotenv import load_dotenv
@@ -15,26 +14,6 @@ from dotenv import load_dotenv
# pure ASCII (they become HTTP header values).
_CREDENTIAL_SUFFIXES = ("_API_KEY", "_TOKEN", "_SECRET", "_KEY")
# Names we've already warned about during this process, so repeated
# load_hermes_dotenv() calls (user env + project env, gateway hot-reload,
# tests) don't spam the same warning multiple times.
_WARNED_KEYS: set[str] = set()
def _format_offending_chars(value: str, limit: int = 3) -> str:
"""Return a compact 'U+XXXX ('c'), ...' summary of non-ASCII codepoints."""
seen: list[str] = []
for ch in value:
if ord(ch) > 127:
label = f"U+{ord(ch):04X}"
if ch.isprintable():
label += f" ({ch!r})"
if label not in seen:
seen.append(label)
if len(seen) >= limit:
break
return ", ".join(seen)
def _sanitize_loaded_credentials() -> None:
"""Strip non-ASCII characters from credential env vars in os.environ.
@@ -42,42 +21,14 @@ def _sanitize_loaded_credentials() -> None:
Called after dotenv loads so the rest of the codebase never sees
non-ASCII API keys. Only touches env vars whose names end with
known credential suffixes (``_API_KEY``, ``_TOKEN``, etc.).
Emits a one-line warning to stderr when characters are stripped.
Silent stripping would mask copy-paste corruption (Unicode lookalike
glyphs from PDFs / rich-text editors, ZWSP from web pages) as opaque
provider-side "invalid API key" errors (see #6843).
"""
for key, value in list(os.environ.items()):
if not any(key.endswith(suffix) for suffix in _CREDENTIAL_SUFFIXES):
continue
try:
value.encode("ascii")
continue
except UnicodeEncodeError:
pass
cleaned = value.encode("ascii", errors="ignore").decode("ascii")
os.environ[key] = cleaned
if key in _WARNED_KEYS:
continue
_WARNED_KEYS.add(key)
stripped = len(value) - len(cleaned)
detail = _format_offending_chars(value) or "non-printable"
print(
f" Warning: {key} contained {stripped} non-ASCII character"
f"{'s' if stripped != 1 else ''} ({detail}) — stripped so the "
f"key can be sent as an HTTP header.",
file=sys.stderr,
)
print(
" This usually means the key was copy-pasted from a PDF, "
"rich-text editor, or web page that substituted lookalike\n"
" Unicode glyphs for ASCII letters. If authentication fails "
"(e.g. \"API key not valid\"), re-copy the key from the\n"
" provider's dashboard and run `hermes setup` (or edit the "
".env file in a plain-text editor).",
file=sys.stderr,
)
os.environ[key] = value.encode("ascii", errors="ignore").decode("ascii")
def _load_dotenv_with_fallback(path: Path, *, override: bool) -> None:
@@ -160,8 +111,6 @@ def load_hermes_dotenv(
# Fix corrupted .env files before python-dotenv parses them (#8908).
if user_env.exists():
_sanitize_env_file_if_needed(user_env)
if project_env_path and project_env_path.exists():
_sanitize_env_file_if_needed(project_env_path)
if user_env.exists():
_load_dotenv_with_fallback(user_env, override=True)
+108 -118
View File
@@ -994,6 +994,8 @@ def get_systemd_linger_status() -> tuple[bool | None, str]:
if not is_linux():
return None, "not supported on this platform"
import shutil
if not shutil.which("loginctl"):
return None, "loginctl not found"
@@ -1345,6 +1347,7 @@ def _ensure_linger_enabled() -> None:
return
import getpass
import shutil
username = getpass.getuser()
linger_file = Path(f"/var/lib/systemd/linger/{username}")
@@ -1653,6 +1656,7 @@ def get_launchd_label() -> str:
def _launchd_domain() -> str:
import os
return f"gui/{os.getuid()}"
@@ -2639,120 +2643,9 @@ def _setup_dingtalk():
def _setup_wecom():
"""Interactive setup for WeCom — scan QR code or manual credential input."""
print()
print(color(" ─── 💬 WeCom (Enterprise WeChat) Setup ───", Colors.CYAN))
existing_bot_id = get_env_value("WECOM_BOT_ID")
existing_secret = get_env_value("WECOM_SECRET")
if existing_bot_id and existing_secret:
print()
print_success("WeCom is already configured.")
if not prompt_yes_no(" Reconfigure WeCom?", False):
return
# ── Choose setup method ──
print()
method_choices = [
"Scan QR code to obtain Bot ID and Secret automatically (recommended)",
"Enter existing Bot ID and Secret manually",
]
method_idx = prompt_choice(" How would you like to set up WeCom?", method_choices, 0)
bot_id = None
secret = None
if method_idx == 0:
# ── QR scan flow ──
try:
from gateway.platforms.wecom import qr_scan_for_bot_info
except Exception as exc:
print_error(f" WeCom QR scan import failed: {exc}")
qr_scan_for_bot_info = None
if qr_scan_for_bot_info is not None:
try:
credentials = qr_scan_for_bot_info()
except KeyboardInterrupt:
print()
print_warning(" WeCom setup cancelled.")
return
except Exception as exc:
print_warning(f" QR scan failed: {exc}")
credentials = None
if credentials:
bot_id = credentials.get("bot_id", "")
secret = credentials.get("secret", "")
print_success(" ✔ QR scan successful! Bot ID and Secret obtained.")
if not bot_id or not secret:
print_info(" QR scan did not complete. Continuing with manual input.")
bot_id = None
secret = None
# ── Manual credential input ──
if not bot_id or not secret:
print()
print_info(" 1. Go to WeCom Application → Workspace → Smart Robot -> Create smart robots")
print_info(" 2. Select API Mode")
print_info(" 3. Copy the Bot ID and Secret from the bot's credentials info")
print_info(" 4. The bot connects via WebSocket — no public endpoint needed")
print()
bot_id = prompt(" Bot ID", password=False)
if not bot_id:
print_warning(" Skipped — WeCom won't work without a Bot ID.")
return
secret = prompt(" Secret", password=True)
if not secret:
print_warning(" Skipped — WeCom won't work without a Secret.")
return
# ── Save core credentials ──
save_env_value("WECOM_BOT_ID", bot_id)
save_env_value("WECOM_SECRET", secret)
# ── Allowed users (deny-by-default security) ──
print()
print_info(" The gateway DENIES all users by default for security.")
print_info(" Enter user IDs to create an allowlist, or leave empty.")
allowed = prompt(" Allowed user IDs (comma-separated, or empty)", password=False)
if allowed:
cleaned = allowed.replace(" ", "")
save_env_value("WECOM_ALLOWED_USERS", cleaned)
print_success(" Saved — only these users can interact with the bot.")
else:
print()
access_choices = [
"Enable open access (anyone can message the bot)",
"Use DM pairing (unknown users request access, you approve with 'hermes pairing approve')",
"Disable direct messages",
"Skip for now (bot will deny all users until configured)",
]
access_idx = prompt_choice(" How should unauthorized users be handled?", access_choices, 1)
if access_idx == 0:
save_env_value("WECOM_DM_POLICY", "open")
save_env_value("GATEWAY_ALLOW_ALL_USERS", "true")
print_warning(" Open access enabled — anyone can use your bot!")
elif access_idx == 1:
save_env_value("WECOM_DM_POLICY", "pairing")
print_success(" DM pairing mode — users will receive a code to request access.")
print_info(" Approve with: hermes pairing approve <platform> <code>")
elif access_idx == 2:
save_env_value("WECOM_DM_POLICY", "disabled")
print_warning(" Direct messages disabled.")
else:
print_info(" Skipped — configure later with 'hermes gateway setup'")
# ── Home channel (optional) ──
print()
print_info(" Chat ID for scheduled results and notifications.")
home = prompt(" Home chat ID (optional, for cron/notifications)", password=False)
if home:
save_env_value("WECOM_HOME_CHANNEL", home)
print_success(f" Home channel set to {home}")
print()
print_success("💬 WeCom configured!")
"""Configure WeCom (Enterprise WeChat) via the standard platform setup."""
wecom_platform = next(p for p in _PLATFORMS if p["key"] == "wecom")
_setup_standard_platform(wecom_platform)
def _is_service_installed() -> bool:
@@ -3132,8 +3025,7 @@ def _setup_qqbot():
if method_idx == 0:
# ── QR scan-to-configure ──
try:
from gateway.platforms.qqbot import qr_register
credentials = qr_register()
credentials = _qqbot_qr_flow()
except KeyboardInterrupt:
print()
print_warning(" QQ Bot setup cancelled.")
@@ -3215,6 +3107,106 @@ def _setup_qqbot():
print_info(f" App ID: {credentials['app_id']}")
def _qqbot_render_qr(url: str) -> bool:
"""Try to render a QR code in the terminal. Returns True if successful."""
try:
import qrcode as _qr
qr = _qr.QRCode(border=1,error_correction=_qr.constants.ERROR_CORRECT_L)
qr.add_data(url)
qr.make(fit=True)
qr.print_ascii(invert=True)
return True
except Exception:
return False
def _qqbot_qr_flow():
"""Run the QR-code scan-to-configure flow.
Returns a dict with app_id, client_secret, user_openid on success,
or None on failure/cancel.
"""
try:
from gateway.platforms.qqbot import (
create_bind_task, poll_bind_result, build_connect_url,
decrypt_secret, BindStatus,
)
from gateway.platforms.qqbot.constants import ONBOARD_POLL_INTERVAL
except Exception as exc:
print_error(f" QQBot onboard import failed: {exc}")
return None
import asyncio
import time
MAX_REFRESHES = 3
refresh_count = 0
while refresh_count <= MAX_REFRESHES:
loop = asyncio.new_event_loop()
# ── Create bind task ──
try:
task_id, aes_key = loop.run_until_complete(create_bind_task())
except Exception as e:
print_warning(f" Failed to create bind task: {e}")
loop.close()
return None
url = build_connect_url(task_id)
# ── Display QR code + URL ──
print()
if _qqbot_render_qr(url):
print(f" Scan the QR code above, or open this URL directly:\n {url}")
else:
print(f" Open this URL in QQ on your phone:\n {url}")
print_info(" Tip: pip install qrcode to show a scannable QR code here")
# ── Poll loop (silent — keep QR visible at bottom) ──
try:
while True:
try:
status, app_id, encrypted_secret, user_openid = loop.run_until_complete(
poll_bind_result(task_id)
)
except Exception:
time.sleep(ONBOARD_POLL_INTERVAL)
continue
if status == BindStatus.COMPLETED:
client_secret = decrypt_secret(encrypted_secret, aes_key)
print()
print_success(f" QR scan complete! (App ID: {app_id})")
if user_openid:
print_info(f" Scanner's OpenID: {user_openid}")
return {
"app_id": app_id,
"client_secret": client_secret,
"user_openid": user_openid,
}
if status == BindStatus.EXPIRED:
refresh_count += 1
if refresh_count > MAX_REFRESHES:
print()
print_warning(f" QR code expired {MAX_REFRESHES} times — giving up.")
return None
print()
print_warning(f" QR code expired, refreshing... ({refresh_count}/{MAX_REFRESHES})")
loop.close()
break # outer while creates a new task
time.sleep(ONBOARD_POLL_INTERVAL)
except KeyboardInterrupt:
loop.close()
raise
finally:
loop.close()
return None
def _setup_signal():
"""Interactive setup for Signal messenger."""
import shutil
@@ -3402,8 +3394,6 @@ def gateway_setup():
_setup_feishu()
elif platform["key"] == "qqbot":
_setup_qqbot()
elif platform["key"] == "wecom":
_setup_wecom()
else:
_setup_standard_platform(platform)
-385
View File
@@ -1,385 +0,0 @@
"""hermes hooks — inspect and manage shell-script hooks.
Usage::
hermes hooks list
hermes hooks test <event> [--for-tool X] [--payload-file F]
hermes hooks revoke <command>
hermes hooks doctor
Consent records live under ``~/.hermes/shell-hooks-allowlist.json`` and
hook definitions come from the ``hooks:`` block in ``~/.hermes/config.yaml``
(the same config read by the CLI / gateway at startup).
This module is a thin CLI shell over :mod:`agent.shell_hooks`; every
shared concern (payload serialisation, response parsing, allowlist
format) lives there.
"""
from __future__ import annotations
import json
import os
from pathlib import Path
from typing import Any, Dict, List, Optional
def hooks_command(args) -> None:
"""Entry point for ``hermes hooks`` — dispatches to the requested action."""
sub = getattr(args, "hooks_action", None)
if not sub:
print("Usage: hermes hooks {list|test|revoke|doctor}")
print("Run 'hermes hooks --help' for details.")
return
if sub in ("list", "ls"):
_cmd_list(args)
elif sub == "test":
_cmd_test(args)
elif sub in ("revoke", "remove", "rm"):
_cmd_revoke(args)
elif sub == "doctor":
_cmd_doctor(args)
else:
print(f"Unknown hooks subcommand: {sub}")
# ---------------------------------------------------------------------------
# list
# ---------------------------------------------------------------------------
def _cmd_list(_args) -> None:
from hermes_cli.config import load_config
from agent import shell_hooks
specs = shell_hooks.iter_configured_hooks(load_config())
if not specs:
print("No shell hooks configured in ~/.hermes/config.yaml.")
print("See `hermes hooks --help` or")
print(" website/docs/user-guide/features/hooks.md")
print("for the config schema and worked examples.")
return
by_event: Dict[str, List] = {}
for spec in specs:
by_event.setdefault(spec.event, []).append(spec)
allowlist = shell_hooks.load_allowlist()
approved = {
(e.get("event"), e.get("command"))
for e in allowlist.get("approvals", [])
if isinstance(e, dict)
}
print(f"Configured shell hooks ({len(specs)} total):\n")
for event in sorted(by_event.keys()):
print(f" [{event}]")
for spec in by_event[event]:
is_approved = (spec.event, spec.command) in approved
status = "✓ allowed" if is_approved else "✗ not allowlisted"
matcher_part = f" matcher={spec.matcher!r}" if spec.matcher else ""
print(
f" - {spec.command}{matcher_part} "
f"(timeout={spec.timeout}s, {status})"
)
if is_approved:
entry = shell_hooks.allowlist_entry_for(spec.event, spec.command)
if entry and entry.get("approved_at"):
print(f" approved_at: {entry['approved_at']}")
mtime_now = shell_hooks.script_mtime_iso(spec.command)
mtime_at = entry.get("script_mtime_at_approval")
if mtime_now and mtime_at and mtime_now > mtime_at:
print(
f" ⚠ script modified since approval "
f"(was {mtime_at}, now {mtime_now}) — "
f"run `hermes hooks doctor` to re-validate"
)
print()
# ---------------------------------------------------------------------------
# test
# ---------------------------------------------------------------------------
# Synthetic kwargs matching the real invoke_hook() call sites — these are
# passed verbatim to agent.shell_hooks.run_once(), which routes them through
# the same _serialize_payload() that production firings use. That way the
# stdin a script sees under `hermes hooks test` and `hermes hooks doctor`
# is identical in shape to what it will see at runtime.
_DEFAULT_PAYLOADS = {
"pre_tool_call": {
"tool_name": "terminal",
"args": {"command": "echo hello"},
"session_id": "test-session",
"task_id": "test-task",
"tool_call_id": "test-call",
},
"post_tool_call": {
"tool_name": "terminal",
"args": {"command": "echo hello"},
"session_id": "test-session",
"task_id": "test-task",
"tool_call_id": "test-call",
"result": '{"output": "hello"}',
},
"pre_llm_call": {
"session_id": "test-session",
"user_message": "What is the weather?",
"conversation_history": [],
"is_first_turn": True,
"model": "gpt-4",
"platform": "cli",
},
"post_llm_call": {
"session_id": "test-session",
"model": "gpt-4",
"platform": "cli",
},
"on_session_start": {"session_id": "test-session"},
"on_session_end": {"session_id": "test-session"},
"on_session_finalize": {"session_id": "test-session"},
"on_session_reset": {"session_id": "test-session"},
"pre_api_request": {
"session_id": "test-session",
"task_id": "test-task",
"platform": "cli",
"model": "claude-sonnet-4-6",
"provider": "anthropic",
"base_url": "https://api.anthropic.com",
"api_mode": "anthropic_messages",
"api_call_count": 1,
"message_count": 4,
"tool_count": 12,
"approx_input_tokens": 2048,
"request_char_count": 8192,
"max_tokens": 4096,
},
"post_api_request": {
"session_id": "test-session",
"task_id": "test-task",
"platform": "cli",
"model": "claude-sonnet-4-6",
"provider": "anthropic",
"base_url": "https://api.anthropic.com",
"api_mode": "anthropic_messages",
"api_call_count": 1,
"api_duration": 1.234,
"finish_reason": "stop",
"message_count": 4,
"response_model": "claude-sonnet-4-6",
"usage": {"input_tokens": 2048, "output_tokens": 512},
"assistant_content_chars": 1200,
"assistant_tool_call_count": 0,
},
"subagent_stop": {
"parent_session_id": "parent-sess",
"child_role": None,
"child_summary": "Synthetic summary for hooks test",
"child_status": "completed",
"duration_ms": 1234,
},
}
def _cmd_test(args) -> None:
from hermes_cli.config import load_config
from hermes_cli.plugins import VALID_HOOKS
from agent import shell_hooks
event = args.event
if event not in VALID_HOOKS:
print(f"Unknown event: {event!r}")
print(f"Valid events: {', '.join(sorted(VALID_HOOKS))}")
return
# Synthetic kwargs in the same shape invoke_hook() would pass. Merged
# with --for-tool (overrides tool_name) and --payload-file (extra kwargs).
payload = dict(_DEFAULT_PAYLOADS.get(event, {"session_id": "test-session"}))
if getattr(args, "for_tool", None):
payload["tool_name"] = args.for_tool
if getattr(args, "payload_file", None):
try:
custom = json.loads(Path(args.payload_file).read_text())
if isinstance(custom, dict):
payload.update(custom)
else:
print(f"Warning: {args.payload_file} is not a JSON object; ignoring")
except Exception as exc:
print(f"Error reading payload file: {exc}")
return
specs = shell_hooks.iter_configured_hooks(load_config())
specs = [s for s in specs if s.event == event]
if getattr(args, "for_tool", None):
specs = [
s for s in specs
if s.event not in ("pre_tool_call", "post_tool_call")
or s.matches_tool(args.for_tool)
]
if not specs:
print(f"No shell hooks configured for event: {event}")
if getattr(args, "for_tool", None):
print(f"(with matcher filter --for-tool={args.for_tool})")
return
print(f"Firing {len(specs)} hook(s) for event '{event}':\n")
for spec in specs:
print(f"{spec.command}")
result = shell_hooks.run_once(spec, payload)
_print_run_result(result)
print()
def _print_run_result(result: Dict[str, Any]) -> None:
if result.get("error"):
print(f" ✗ error: {result['error']}")
return
if result.get("timed_out"):
print(f" ✗ timed out after {result['elapsed_seconds']}s")
return
rc = result.get("returncode")
elapsed = result.get("elapsed_seconds", 0)
print(f" exit={rc} elapsed={elapsed}s")
stdout = (result.get("stdout") or "").strip()
stderr = (result.get("stderr") or "").strip()
if stdout:
print(f" stdout: {_truncate(stdout, 400)}")
if stderr:
print(f" stderr: {_truncate(stderr, 400)}")
parsed = result.get("parsed")
if parsed:
print(f" parsed (Hermes wire shape): {json.dumps(parsed)}")
else:
print(" parsed: <none — hook contributed nothing to the dispatcher>")
def _truncate(s: str, n: int) -> str:
return s if len(s) <= n else s[: n - 3] + "..."
# ---------------------------------------------------------------------------
# revoke
# ---------------------------------------------------------------------------
def _cmd_revoke(args) -> None:
from agent import shell_hooks
removed = shell_hooks.revoke(args.command)
if removed == 0:
print(f"No allowlist entry found for command: {args.command}")
return
print(f"Removed {removed} allowlist entry/entries for: {args.command}")
print(
"Note: currently running CLI / gateway processes keep their "
"already-registered callbacks until they restart."
)
# ---------------------------------------------------------------------------
# doctor
# ---------------------------------------------------------------------------
def _cmd_doctor(_args) -> None:
from hermes_cli.config import load_config
from agent import shell_hooks
specs = shell_hooks.iter_configured_hooks(load_config())
if not specs:
print("No shell hooks configured — nothing to check.")
return
print(f"Checking {len(specs)} configured shell hook(s)...\n")
problems = 0
for spec in specs:
print(f" [{spec.event}] {spec.command}")
problems += _doctor_one(spec, shell_hooks)
print()
if problems:
print(f"{problems} issue(s) found. Fix before relying on these hooks.")
else:
print("All shell hooks look healthy.")
def _doctor_one(spec, shell_hooks) -> int:
problems = 0
# 1. Script exists and is executable
if shell_hooks.script_is_executable(spec.command):
print(" ✓ script exists and is executable")
else:
problems += 1
print(" ✗ script missing or not executable "
"(chmod +x the file, or fix the path)")
# 2. Allowlist status
entry = shell_hooks.allowlist_entry_for(spec.event, spec.command)
if entry:
print(f" ✓ allowlisted (approved {entry.get('approved_at', '?')})")
else:
problems += 1
print(" ✗ not allowlisted — hook will NOT fire at runtime "
"(run with --accept-hooks once, or confirm at the TTY prompt)")
# 3. Mtime drift
if entry and entry.get("script_mtime_at_approval"):
mtime_now = shell_hooks.script_mtime_iso(spec.command)
mtime_at = entry["script_mtime_at_approval"]
if mtime_now and mtime_at and mtime_now > mtime_at:
problems += 1
print(f" ⚠ script modified since approval "
f"(was {mtime_at}, now {mtime_now}) — review changes, "
f"then `hermes hooks revoke` + re-approve to refresh")
elif mtime_now and mtime_at and mtime_now == mtime_at:
print(" ✓ script unchanged since approval")
# 4. Produces valid JSON for a synthetic payload — only when the entry
# is already allowlisted. Otherwise `hermes hooks doctor` would execute
# every script listed in a freshly-pulled config before the user has
# reviewed them, which directly contradicts the documented workflow
# ("spot newly-added hooks *before they register*").
if not entry:
print(" skipped JSON smoke test — not allowlisted yet. "
"Approve the hook first (via TTY prompt or --accept-hooks), "
"then re-run `hermes hooks doctor`.")
elif shell_hooks.script_is_executable(spec.command):
payload = _DEFAULT_PAYLOADS.get(spec.event, {"extra": {}})
result = shell_hooks.run_once(spec, payload)
if result.get("timed_out"):
problems += 1
print(f" ✗ timed out after {result['elapsed_seconds']}s "
f"on synthetic payload (timeout={spec.timeout}s)")
elif result.get("error"):
problems += 1
print(f" ✗ execution error: {result['error']}")
else:
rc = result.get("returncode")
elapsed = result.get("elapsed_seconds", 0)
stdout = (result.get("stdout") or "").strip()
if stdout:
try:
json.loads(stdout)
print(f" ✓ produced valid JSON on synthetic payload "
f"(exit={rc}, {elapsed}s)")
except json.JSONDecodeError:
problems += 1
print(f" ✗ stdout was not valid JSON (exit={rc}, "
f"{elapsed}s): {_truncate(stdout, 120)}")
else:
print(f" ✓ ran clean with empty stdout "
f"(exit={rc}, {elapsed}s) — hook is observer-only")
return problems
+47 -396
View File
@@ -51,19 +51,6 @@ import sys
from pathlib import Path
from typing import Optional
def _add_accept_hooks_flag(parser) -> None:
"""Attach the ``--accept-hooks`` flag. Shared across every agent
subparser so the flag works regardless of CLI position."""
parser.add_argument(
"--accept-hooks",
action="store_true",
default=argparse.SUPPRESS,
help=(
"Auto-approve unseen shell hooks without a TTY prompt "
"(equivalent to HERMES_ACCEPT_HOOKS=1 / hooks_auto_accept: true)."
),
)
def _require_tty(command_name: str) -> None:
"""Exit with a clear error if stdin is not a terminal.
@@ -193,7 +180,7 @@ import time as _time
from datetime import datetime
from hermes_cli import __version__, __release_date__
from hermes_constants import AI_GATEWAY_BASE_URL, OPENROUTER_BASE_URL
from hermes_constants import OPENROUTER_BASE_URL
logger = logging.getLogger(__name__)
@@ -618,6 +605,7 @@ def _exec_in_container(container_info: dict, cli_args: list):
container_info: dict with backend, container_name, exec_user, hermes_bin
cli_args: the original CLI arguments (everything after 'hermes')
"""
import shutil
backend = container_info["backend"]
container_name = container_info["container_name"]
@@ -1015,17 +1003,6 @@ def _launch_tui(resume_session_id: Optional[str] = None, tui_dev: bool = False):
)
env.setdefault("HERMES_PYTHON", sys.executable)
env.setdefault("HERMES_CWD", os.getcwd())
# Guarantee an 8GB V8 heap + exposed GC for the TUI. Default node cap is
# ~1.54GB depending on version and can fatal-OOM on long sessions with
# large transcripts / reasoning blobs. Token-level merge: respect any
# user-supplied --max-old-space-size (they may have set it higher) and
# avoid duplicating --expose-gc.
_tokens = env.get("NODE_OPTIONS", "").split()
if not any(t.startswith("--max-old-space-size=") for t in _tokens):
_tokens.append("--max-old-space-size=8192")
if "--expose-gc" not in _tokens:
_tokens.append("--expose-gc")
env["NODE_OPTIONS"] = " ".join(_tokens)
if resume_session_id:
env["HERMES_TUI_RESUME"] = resume_session_id
@@ -1180,6 +1157,8 @@ def cmd_gateway(args):
def cmd_whatsapp(args):
"""Set up WhatsApp: choose mode, configure, install bridge, pair via QR."""
_require_tty("whatsapp")
import subprocess
from pathlib import Path
from hermes_cli.config import get_env_value, save_env_value
print()
@@ -1288,27 +1267,16 @@ def cmd_whatsapp(args):
return
if not (bridge_dir / "node_modules").exists():
print("\n→ Installing WhatsApp bridge dependencies (this can take a few minutes)...")
npm = shutil.which("npm")
if not npm:
print(" ✗ npm not found on PATH — install Node.js first")
return
try:
result = subprocess.run(
[npm, "install", "--no-fund", "--no-audit", "--progress=false"],
cwd=str(bridge_dir),
stdout=subprocess.DEVNULL,
stderr=subprocess.PIPE,
text=True,
)
except KeyboardInterrupt:
print("\n ✗ Install cancelled")
return
print("\n→ Installing WhatsApp bridge dependencies...")
result = subprocess.run(
["npm", "install"],
cwd=str(bridge_dir),
capture_output=True,
text=True,
timeout=120,
)
if result.returncode != 0:
err = (result.stderr or "").strip()
preview = "\n".join(err.splitlines()[-30:]) if err else "(no output)"
print(" ✗ npm install failed:")
print(preview)
print(f" ✗ npm install failed: {result.stderr}")
return
print(" ✓ Dependencies installed")
else:
@@ -1327,6 +1295,8 @@ def cmd_whatsapp(args):
except (EOFError, KeyboardInterrupt):
response = "n"
if response.lower() in ("y", "yes"):
import shutil
shutil.rmtree(session_dir, ignore_errors=True)
session_dir.mkdir(parents=True, exist_ok=True)
print(" ✓ Session cleared")
@@ -1422,6 +1392,8 @@ def select_provider_and_model(args=None):
# Read effective provider the same way the CLI does at startup:
# config.yaml model.provider > env var > auto-detect
import os
config_provider = None
model_cfg = config.get("model")
if isinstance(model_cfg, dict):
@@ -1532,8 +1504,6 @@ def select_provider_and_model(args=None):
# Step 2: Provider-specific setup + model selection
if selected_provider == "openrouter":
_model_flow_openrouter(config, current_model)
elif selected_provider == "ai-gateway":
_model_flow_ai_gateway(config, current_model)
elif selected_provider == "nous":
_model_flow_nous(config, current_model, args=args)
elif selected_provider == "openai-codex":
@@ -1566,8 +1536,6 @@ def select_provider_and_model(args=None):
_model_flow_anthropic(config, current_model)
elif selected_provider == "kimi-coding":
_model_flow_kimi(config, current_model)
elif selected_provider == "stepfun":
_model_flow_stepfun(config, current_model)
elif selected_provider == "bedrock":
_model_flow_bedrock(config, current_model)
elif selected_provider in (
@@ -1581,6 +1549,7 @@ def select_provider_and_model(args=None):
"kilocode",
"opencode-zen",
"opencode-go",
"ai-gateway",
"alibaba",
"huggingface",
"xiaomi",
@@ -2052,63 +2021,6 @@ def _model_flow_openrouter(config, current_model=""):
print("No change.")
def _model_flow_ai_gateway(config, current_model=""):
"""Vercel AI Gateway provider: ensure API key, then pick model with pricing."""
from hermes_cli.auth import (
_prompt_model_selection,
_save_model_choice,
deactivate_provider,
)
from hermes_cli.config import get_env_value, save_env_value
api_key = get_env_value("AI_GATEWAY_API_KEY")
if not api_key:
print("No Vercel AI Gateway API key configured.")
print("Create API key here: https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai-gateway&title=AI+Gateway")
print("Add a payment method to get $5 in free credits.")
print()
try:
import getpass
key = getpass.getpass("AI Gateway API key (or Enter to cancel): ").strip()
except (KeyboardInterrupt, EOFError):
print()
return
if not key:
print("Cancelled.")
return
save_env_value("AI_GATEWAY_API_KEY", key)
print("API key saved.")
print()
from hermes_cli.models import ai_gateway_model_ids, get_pricing_for_provider
models_list = ai_gateway_model_ids(force_refresh=True)
pricing = get_pricing_for_provider("ai-gateway", force_refresh=True)
selected = _prompt_model_selection(
models_list, current_model=current_model, pricing=pricing
)
if selected:
_save_model_choice(selected)
from hermes_cli.config import load_config, save_config
cfg = load_config()
model = cfg.get("model")
if not isinstance(model, dict):
model = {"default": model} if model else {}
cfg["model"] = model
model["provider"] = "ai-gateway"
model["base_url"] = AI_GATEWAY_BASE_URL
model["api_mode"] = "chat_completions"
save_config(cfg)
deactivate_provider()
print(f"Default model set to: {selected} (via Vercel AI Gateway)")
else:
print("No change.")
def _model_flow_nous(config, current_model="", args=None):
"""Nous Portal provider: ensure logged in, then pick model."""
from hermes_cli.auth import (
@@ -2129,6 +2041,7 @@ def _model_flow_nous(config, current_model="", args=None):
save_env_value,
)
from hermes_cli.nous_subscription import prompt_enable_tool_gateway
import argparse
state = get_provider_auth_state("nous")
if not state or not state.get("access_token"):
@@ -2167,6 +2080,7 @@ def _model_flow_nous(config, current_model="", args=None):
from hermes_cli.models import (
_PROVIDER_MODELS,
get_pricing_for_provider,
filter_nous_free_models,
check_nous_free_tier,
partition_nous_models_by_tier,
)
@@ -2209,8 +2123,10 @@ def _model_flow_nous(config, current_model="", args=None):
# Check if user is on free tier
free_tier = check_nous_free_tier()
# For free users: partition models into selectable/unavailable based on
# whether they are free per the Portal-reported pricing.
# For both tiers: apply the allowlist filter first (removes non-allowlisted
# free models and allowlist models that aren't actually free).
# Then for free users: partition remaining models into selectable/unavailable.
model_ids = filter_nous_free_models(model_ids, pricing)
unavailable_models: list[str] = []
if free_tier:
model_ids, unavailable_models = partition_nous_models_by_tier(
@@ -2293,6 +2209,7 @@ def _model_flow_openai_codex(config, current_model=""):
DEFAULT_CODEX_BASE_URL,
)
from hermes_cli.codex_models import get_codex_model_ids
import argparse
status = get_codex_auth_status()
if not status.get("logged_in"):
@@ -3423,9 +3340,8 @@ def _model_flow_kimi(config, current_model=""):
# Step 3: Model selection — show appropriate models for the endpoint
if is_coding_plan:
# Coding Plan models (kimi-k2.6 first)
# Coding Plan models (kimi-k2.5 first)
model_list = [
"kimi-k2.6",
"kimi-k2.5",
"kimi-for-coding",
"kimi-k2-thinking",
@@ -3464,140 +3380,6 @@ def _model_flow_kimi(config, current_model=""):
print("No change.")
def _infer_stepfun_region(base_url: str) -> str:
"""Infer the current StepFun region from the configured endpoint."""
normalized = (base_url or "").strip().lower()
if "api.stepfun.com" in normalized:
return "china"
return "international"
def _stepfun_base_url_for_region(region: str) -> str:
from hermes_cli.auth import (
STEPFUN_STEP_PLAN_CN_BASE_URL,
STEPFUN_STEP_PLAN_INTL_BASE_URL,
)
return (
STEPFUN_STEP_PLAN_CN_BASE_URL
if region == "china"
else STEPFUN_STEP_PLAN_INTL_BASE_URL
)
def _model_flow_stepfun(config, current_model=""):
"""StepFun Step Plan flow with region-specific endpoints."""
from hermes_cli.auth import (
PROVIDER_REGISTRY,
_prompt_model_selection,
_save_model_choice,
deactivate_provider,
)
from hermes_cli.config import get_env_value, save_env_value, load_config, save_config
from hermes_cli.models import fetch_api_models
provider_id = "stepfun"
pconfig = PROVIDER_REGISTRY[provider_id]
key_env = pconfig.api_key_env_vars[0] if pconfig.api_key_env_vars else ""
base_url_env = pconfig.base_url_env_var or ""
existing_key = ""
for ev in pconfig.api_key_env_vars:
existing_key = get_env_value(ev) or os.getenv(ev, "")
if existing_key:
break
if not existing_key:
print(f"No {pconfig.name} API key configured.")
if key_env:
try:
import getpass
new_key = getpass.getpass(f"{key_env} (or Enter to cancel): ").strip()
except (KeyboardInterrupt, EOFError):
print()
return
if not new_key:
print("Cancelled.")
return
save_env_value(key_env, new_key)
existing_key = new_key
print("API key saved.")
print()
else:
print(f" {pconfig.name} API key: {existing_key[:8]}... ✓")
print()
current_base = ""
if base_url_env:
current_base = get_env_value(base_url_env) or os.getenv(base_url_env, "")
if not current_base:
model_cfg = config.get("model")
if isinstance(model_cfg, dict):
current_base = str(model_cfg.get("base_url") or "").strip()
current_region = _infer_stepfun_region(current_base or pconfig.inference_base_url)
region_choices = [
("international", f"International ({_stepfun_base_url_for_region('international')})"),
("china", f"China ({_stepfun_base_url_for_region('china')})"),
]
ordered_regions = []
for region_key, label in region_choices:
if region_key == current_region:
ordered_regions.insert(0, (region_key, f"{label} ← currently active"))
else:
ordered_regions.append((region_key, label))
ordered_regions.append(("cancel", "Cancel"))
region_idx = _prompt_provider_choice([label for _, label in ordered_regions])
if region_idx is None or ordered_regions[region_idx][0] == "cancel":
print("No change.")
return
selected_region = ordered_regions[region_idx][0]
effective_base = _stepfun_base_url_for_region(selected_region)
if base_url_env:
save_env_value(base_url_env, effective_base)
live_models = fetch_api_models(existing_key, effective_base)
if live_models:
model_list = live_models
print(f" Found {len(model_list)} model(s) from {pconfig.name} API")
else:
model_list = _PROVIDER_MODELS.get(provider_id, [])
if model_list:
print(
f" Could not auto-detect models from {pconfig.name} API — "
"showing Step Plan fallback catalog."
)
if model_list:
selected = _prompt_model_selection(model_list, current_model=current_model)
else:
try:
selected = input("Model name: ").strip()
except (KeyboardInterrupt, EOFError):
selected = None
if selected:
_save_model_choice(selected)
cfg = load_config()
model = cfg.get("model")
if not isinstance(model, dict):
model = {"default": model} if model else {}
cfg["model"] = model
model["provider"] = provider_id
model["base_url"] = effective_base
model.pop("api_mode", None)
save_config(cfg)
deactivate_provider()
config["model"] = dict(model)
print(f"Default model set to: {selected} (via {pconfig.name})")
else:
print("No change.")
def _model_flow_bedrock_api_key(config, region, current_model=""):
"""Bedrock API Key mode — uses the OpenAI-compatible bedrock-mantle endpoint.
@@ -4298,12 +4080,6 @@ def cmd_webhook(args):
webhook_command(args)
def cmd_hooks(args):
"""Shell-hook inspection and management."""
from hermes_cli.hooks import hooks_command
hooks_command(args)
def cmd_doctor(args):
"""Check configuration and dependencies."""
from hermes_cli.doctor import run_doctor
@@ -4413,7 +4189,9 @@ def _clear_bytecode_cache(root: Path) -> int:
]
if os.path.basename(dirpath) == "__pycache__":
try:
shutil.rmtree(dirpath)
import shutil as _shutil
_shutil.rmtree(dirpath)
removed += 1
except OSError:
pass
@@ -4452,6 +4230,8 @@ def _gateway_prompt(prompt_text: str, default: str = "", timeout: float = 300.0)
tmp.replace(prompt_path)
# Poll for response
import time as _time
deadline = _time.monotonic() + timeout
while _time.monotonic() < deadline:
if response_path.exists():
@@ -4483,6 +4263,7 @@ def _build_web_ui(web_dir: Path, *, fatal: bool = False) -> bool:
"""
if not (web_dir / "package.json").exists():
return True
import shutil
npm = shutil.which("npm")
if not npm:
@@ -4519,6 +4300,7 @@ def _update_via_zip(args):
Used on Windows when git file I/O is broken (antivirus, NTFS filter
drivers causing 'Invalid argument' errors on file creation).
"""
import shutil
import tempfile
import zipfile
from urllib.request import urlretrieve
@@ -4595,6 +4377,7 @@ def _update_via_zip(args):
# breaks on this machine, keep base deps and reinstall the remaining extras
# individually so update does not silently strip working capabilities.
print("→ Updating Python dependencies...")
import subprocess
uv_bin = shutil.which("uv")
if uv_bin:
@@ -5345,11 +5128,9 @@ def _install_hangup_protection(gateway_mode: bool = False):
# (2) Mirror output to update.log and wrap stdio for broken-pipe
# tolerance. Any failure here is non-fatal; we just skip the wrap.
try:
# Late-bound import so tests can monkeypatch
# hermes_cli.config.get_hermes_home to simulate setup failure.
from hermes_cli.config import get_hermes_home as _get_hermes_home
from hermes_cli.config import get_hermes_home
logs_dir = _get_hermes_home() / "logs"
logs_dir = get_hermes_home() / "logs"
logs_dir.mkdir(parents=True, exist_ok=True)
log_path = logs_dir / "update.log"
log_file = open(log_path, "a", buffering=1, encoding="utf-8")
@@ -5924,6 +5705,8 @@ def _cmd_update_impl(args, gateway_mode: bool):
# Verify the service actually survived the
# restart. systemctl restart returns 0 even
# if the new process crashes immediately.
import time as _time
_time.sleep(3)
verify = subprocess.run(
scope_cmd + ["is-active", svc_name],
@@ -6576,17 +6359,6 @@ For more help on a command:
default=False,
help="Run in an isolated git worktree (for parallel agents)",
)
parser.add_argument(
"--accept-hooks",
action="store_true",
default=False,
help=(
"Auto-approve any unseen shell hooks declared in config.yaml "
"without a TTY prompt. Equivalent to HERMES_ACCEPT_HOOKS=1 or "
"hooks_auto_accept: true in config.yaml. Use on CI / headless "
"runs that can't prompt."
),
)
parser.add_argument(
"--skills",
"-s",
@@ -6666,7 +6438,6 @@ For more help on a command:
"zai",
"kimi-coding",
"kimi-coding-cn",
"stepfun",
"minimax",
"minimax-cn",
"kilocode",
@@ -6710,16 +6481,6 @@ For more help on a command:
default=argparse.SUPPRESS,
help="Run in an isolated git worktree (for parallel agents on the same repo)",
)
chat_parser.add_argument(
"--accept-hooks",
action="store_true",
default=argparse.SUPPRESS,
help=(
"Auto-approve any unseen shell hooks declared in config.yaml "
"without a TTY prompt (see also HERMES_ACCEPT_HOOKS env var and "
"hooks_auto_accept: in config.yaml)."
),
)
chat_parser.add_argument(
"--checkpoints",
action="store_true",
@@ -6839,8 +6600,6 @@ For more help on a command:
action="store_true",
help="Replace any existing gateway instance (useful for systemd)",
)
_add_accept_hooks_flag(gateway_run)
_add_accept_hooks_flag(gateway_parser)
# gateway start
gateway_start = gateway_subparsers.add_parser(
@@ -7205,7 +6964,6 @@ For more help on a command:
"run", help="Run a job on the next scheduler tick"
)
cron_run.add_argument("job_id", help="Job ID to trigger")
_add_accept_hooks_flag(cron_run)
cron_remove = cron_subparsers.add_parser(
"remove", aliases=["rm", "delete"], help="Remove a scheduled job"
@@ -7216,9 +6974,8 @@ For more help on a command:
cron_subparsers.add_parser("status", help="Check if cron scheduler is running")
# cron tick (mostly for debugging)
cron_tick = cron_subparsers.add_parser("tick", help="Run due jobs once and exit")
_add_accept_hooks_flag(cron_tick)
_add_accept_hooks_flag(cron_parser)
cron_subparsers.add_parser("tick", help="Run due jobs once and exit")
cron_parser.set_defaults(func=cmd_cron)
# =========================================================================
@@ -7285,67 +7042,6 @@ For more help on a command:
webhook_parser.set_defaults(func=cmd_webhook)
# =========================================================================
# hooks command — shell-hook inspection and management
# =========================================================================
hooks_parser = subparsers.add_parser(
"hooks",
help="Inspect and manage shell-script hooks",
description=(
"Inspect shell-script hooks declared in ~/.hermes/config.yaml, "
"test them against synthetic payloads, and manage the first-use "
"consent allowlist at ~/.hermes/shell-hooks-allowlist.json."
),
)
hooks_subparsers = hooks_parser.add_subparsers(dest="hooks_action")
hooks_subparsers.add_parser(
"list", aliases=["ls"],
help="List configured hooks with matcher, timeout, and consent status",
)
_hk_test = hooks_subparsers.add_parser(
"test",
help="Fire every hook matching <event> against a synthetic payload",
)
_hk_test.add_argument(
"event",
help="Hook event name (e.g. pre_tool_call, pre_llm_call, subagent_stop)",
)
_hk_test.add_argument(
"--for-tool", dest="for_tool", default=None,
help=(
"Only fire hooks whose matcher matches this tool name "
"(used for pre_tool_call / post_tool_call)"
),
)
_hk_test.add_argument(
"--payload-file", dest="payload_file", default=None,
help=(
"Path to a JSON file whose contents are merged into the "
"synthetic payload before execution"
),
)
_hk_revoke = hooks_subparsers.add_parser(
"revoke", aliases=["remove", "rm"],
help="Remove a command's allowlist entries (takes effect on next restart)",
)
_hk_revoke.add_argument(
"command",
help="The exact command string to revoke (as declared in config.yaml)",
)
hooks_subparsers.add_parser(
"doctor",
help=(
"Check each configured hook: exec bit, allowlist, mtime drift, "
"JSON validity, and synthetic run timing"
),
)
hooks_parser.set_defaults(func=cmd_hooks)
# =========================================================================
# doctor command
# =========================================================================
@@ -7753,17 +7449,6 @@ Examples:
action="store_true",
help="Remove existing plugin and reinstall",
)
_install_enable_group = plugins_install.add_mutually_exclusive_group()
_install_enable_group.add_argument(
"--enable",
action="store_true",
help="Auto-enable the plugin after install (skip confirmation prompt)",
)
_install_enable_group.add_argument(
"--no-enable",
action="store_true",
help="Install disabled (skip confirmation prompt); enable later with `hermes plugins enable <name>`",
)
plugins_update = plugins_subparsers.add_parser(
"update", help="Pull latest changes for an installed plugin"
@@ -7811,7 +7496,9 @@ Examples:
)
cmd_info["setup_fn"](plugin_parser)
except Exception as _exc:
logging.getLogger(__name__).debug("Plugin CLI discovery failed: %s", _exc)
import logging as _log
_log.getLogger(__name__).debug("Plugin CLI discovery failed: %s", _exc)
# =========================================================================
# memory command
@@ -8017,7 +7704,6 @@ Examples:
action="store_true",
help="Enable verbose logging on stderr",
)
_add_accept_hooks_flag(mcp_serve_p)
mcp_add_p = mcp_sub.add_parser(
"add", help="Add an MCP server (discovery-first install)"
@@ -8056,8 +7742,6 @@ Examples:
)
mcp_login_p.add_argument("name", help="Server name to re-authenticate")
_add_accept_hooks_flag(mcp_parser)
def cmd_mcp(args):
from hermes_cli.mcp_config import mcp_command
@@ -8196,6 +7880,7 @@ Examples:
return
line = _json.dumps(data, ensure_ascii=False) + "\n"
if args.output == "-":
import sys
sys.stdout.write(line)
else:
@@ -8205,6 +7890,7 @@ Examples:
else:
sessions = db.export_all(source=args.source)
if args.output == "-":
import sys
for s in sessions:
sys.stdout.write(_json.dumps(s, ensure_ascii=False) + "\n")
@@ -8275,6 +7961,8 @@ Examples:
# Launch hermes --resume <id> by replacing the current process
print(f"Resuming session: {selected_id}")
import shutil
hermes_bin = shutil.which("hermes")
if hermes_bin:
os.execvp(hermes_bin, ["hermes", "--resume", selected_id])
@@ -8465,7 +8153,6 @@ Examples:
help="Run Hermes Agent as an ACP (Agent Client Protocol) server",
description="Start Hermes Agent in ACP mode for editor integration (VS Code, Zed, JetBrains)",
)
_add_accept_hooks_flag(acp_parser)
def cmd_acp(args):
"""Launch Hermes Agent as an ACP server."""
@@ -8739,42 +8426,6 @@ Examples:
cmd_version(args)
return
# Discover Python plugins and register shell hooks once, before any
# command that can fire lifecycle hooks. Both are idempotent; gated
# so introspection/management commands (hermes hooks list, cron
# list, gateway status, mcp add, ...) don't pay discovery cost or
# trigger consent prompts for hooks the user is still inspecting.
# Groups with mixed admin/CRUD vs. agent-running entries narrow via
# the nested subcommand (dest varies by parser).
_AGENT_COMMANDS = {None, "chat", "acp", "rl"}
_AGENT_SUBCOMMANDS = {
"cron": ("cron_command", {"run", "tick"}),
"gateway": ("gateway_command", {"run"}),
"mcp": ("mcp_action", {"serve"}),
}
_sub_attr, _sub_set = _AGENT_SUBCOMMANDS.get(args.command, (None, None))
if (
args.command in _AGENT_COMMANDS
or (_sub_attr and getattr(args, _sub_attr, None) in _sub_set)
):
_accept_hooks = bool(getattr(args, "accept_hooks", False))
try:
from hermes_cli.plugins import discover_plugins
discover_plugins()
except Exception:
logger.debug(
"plugin discovery failed at CLI startup", exc_info=True,
)
try:
from hermes_cli.config import load_config
from agent.shell_hooks import register_from_config
register_from_config(load_config(), accept_hooks=_accept_hooks)
except Exception:
logger.debug(
"shell-hook registration failed at CLI startup",
exc_info=True,
)
# Handle top-level --resume / --continue as shortcut to chat
if (args.resume or args.continue_last) and args.command is None:
args.command = "chat"
+1 -3
View File
@@ -143,7 +143,7 @@ MODEL_ALIASES: dict[str, ModelIdentity] = {
# Z.AI / GLM
"glm": ModelIdentity("z-ai", "glm"),
# Step Plan (StepFun)
# StepFun
"step": ModelIdentity("stepfun", "step"),
# Xiaomi
@@ -678,7 +678,6 @@ def switch_model(
_da = DIRECT_ALIASES.get(resolved_alias)
if _da is not None and _da.base_url:
base_url = _da.base_url
api_mode = "" # clear so determine_api_mode re-detects from URL
if not api_key:
api_key = "no-key-required"
@@ -1096,7 +1095,6 @@ def list_authenticated_providers(
"api_url": api_url,
})
seen_slugs.add(ep_name.lower())
seen_slugs.add(custom_provider_slug(display_name).lower())
_pair = (
str(display_name).strip().lower(),
str(api_url).strip().rstrip("/").lower(),
+71 -457
View File
@@ -16,12 +16,6 @@ from difflib import get_close_matches
from pathlib import Path
from typing import Any, NamedTuple, Optional
from hermes_cli import __version__ as _HERMES_VERSION
# Identify ourselves so endpoints fronted by Cloudflare's Browser Integrity
# Check (error 1010) don't reject the default ``Python-urllib/*`` signature.
_HERMES_USER_AGENT = f"hermes-cli/{_HERMES_VERSION}"
COPILOT_BASE_URL = "https://api.githubcopilot.com"
COPILOT_MODELS_URL = f"{COPILOT_BASE_URL}/models"
COPILOT_EDITOR_VERSION = "vscode/1.104.1"
@@ -32,7 +26,7 @@ COPILOT_REASONING_EFFORTS_O_SERIES = ["low", "medium", "high"]
# Fallback OpenRouter snapshot used when the live catalog is unavailable.
# (model_id, display description shown in menus)
OPENROUTER_MODELS: list[tuple[str, str]] = [
("moonshotai/kimi-k2.6", "recommended"),
("moonshotai/kimi-k2.5", "recommended"),
("anthropic/claude-opus-4.7", ""),
("anthropic/claude-opus-4.6", ""),
("anthropic/claude-sonnet-4.6", ""),
@@ -53,7 +47,6 @@ OPENROUTER_MODELS: list[tuple[str, str]] = [
("stepfun/step-3.5-flash", ""),
("minimax/minimax-m2.7", ""),
("minimax/minimax-m2.5", ""),
("minimax/minimax-m2.5:free", "free"),
("z-ai/glm-5.1", ""),
("z-ai/glm-5v-turbo", ""),
("z-ai/glm-5-turbo", ""),
@@ -69,31 +62,6 @@ OPENROUTER_MODELS: list[tuple[str, str]] = [
_openrouter_catalog_cache: list[tuple[str, str]] | None = None
# Fallback Vercel AI Gateway snapshot used when the live catalog is unavailable.
# OSS / open-weight models prioritized first, then closed-source by family.
# Slugs match Vercel's actual /v1/models catalog (e.g. alibaba/ for Qwen,
# zai/ and xai/ without hyphens).
VERCEL_AI_GATEWAY_MODELS: list[tuple[str, str]] = [
("moonshotai/kimi-k2.6", "recommended"),
("alibaba/qwen3.6-plus", ""),
("zai/glm-5.1", ""),
("minimax/minimax-m2.7", ""),
("anthropic/claude-sonnet-4.6", ""),
("anthropic/claude-opus-4.7", ""),
("anthropic/claude-opus-4.6", ""),
("anthropic/claude-haiku-4.5", ""),
("openai/gpt-5.4", ""),
("openai/gpt-5.4-mini", ""),
("openai/gpt-5.3-codex", ""),
("google/gemini-3.1-pro-preview", ""),
("google/gemini-3-flash", ""),
("google/gemini-3.1-flash-lite-preview", ""),
("xai/grok-4.20-reasoning", ""),
]
_ai_gateway_catalog_cache: list[tuple[str, str]] | None = None
def _codex_curated_models() -> list[str]:
"""Derive the openai-codex curated list from codex_models.py.
@@ -107,7 +75,7 @@ def _codex_curated_models() -> list[str]:
_PROVIDER_MODELS: dict[str, list[str]] = {
"nous": [
"moonshotai/kimi-k2.6",
"moonshotai/kimi-k2.5",
"xiaomi/mimo-v2-pro",
"anthropic/claude-opus-4.7",
"anthropic/claude-opus-4.6",
@@ -126,15 +94,17 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"stepfun/step-3.5-flash",
"minimax/minimax-m2.7",
"minimax/minimax-m2.5",
"minimax/minimax-m2.5:free",
"z-ai/glm-5.1",
"z-ai/glm-5v-turbo",
"z-ai/glm-5-turbo",
"x-ai/grok-4.20-beta",
"nvidia/nemotron-3-super-120b-a12b",
"nvidia/nemotron-3-super-120b-a12b:free",
"arcee-ai/trinity-large-preview:free",
"arcee-ai/trinity-large-thinking",
"openai/gpt-5.4-pro",
"openai/gpt-5.4-nano",
"openrouter/elephant-alpha",
],
"openai-codex": _codex_curated_models(),
"copilot-acp": [
@@ -189,13 +159,12 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
# (map to OpenRouter defaults — users get familiar picks on NIM)
"qwen/qwen3.5-397b-a17b",
"deepseek-ai/deepseek-v3.2",
"moonshotai/kimi-k2.6",
"moonshotai/kimi-k2.5",
"minimaxai/minimax-m2.5",
"z-ai/glm5",
"openai/gpt-oss-120b",
],
"kimi-coding": [
"kimi-k2.6",
"kimi-k2.5",
"kimi-for-coding",
"kimi-k2-thinking",
@@ -204,18 +173,12 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"kimi-k2-0905-preview",
],
"kimi-coding-cn": [
"kimi-k2.6",
"kimi-k2.5",
"kimi-k2-thinking",
"kimi-k2-turbo-preview",
"kimi-k2-0905-preview",
],
"stepfun": [
"step-3.5-flash",
"step-3.5-flash-2603",
],
"moonshot": [
"kimi-k2.6",
"kimi-k2.5",
"kimi-k2-thinking",
"kimi-k2-turbo-preview",
@@ -262,6 +225,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"gpt-5.4-pro",
"gpt-5.4",
"gpt-5.3-codex",
"gpt-5.3-codex-spark",
"gpt-5.2",
"gpt-5.2-codex",
"gpt-5.1",
@@ -295,7 +259,6 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"big-pickle",
],
"opencode-go": [
"kimi-k2.6",
"kimi-k2.5",
"glm-5.1",
"glm-5",
@@ -303,8 +266,20 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"mimo-v2-omni",
"minimax-m2.7",
"minimax-m2.5",
"qwen3.6-plus",
"qwen3.5-plus",
],
"ai-gateway": [
"anthropic/claude-opus-4.6",
"anthropic/claude-sonnet-4.6",
"anthropic/claude-sonnet-4.5",
"anthropic/claude-haiku-4.5",
"openai/gpt-5",
"openai/gpt-4.1",
"openai/gpt-4.1-mini",
"google/gemini-3-pro-preview",
"google/gemini-3-flash",
"google/gemini-2.5-pro",
"google/gemini-2.5-flash",
"deepseek/deepseek-v3.2",
],
"kilocode": [
"anthropic/claude-opus-4.6",
@@ -338,7 +313,6 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"zai-org/GLM-5",
"XiaomiMiMo/MiMo-V2-Flash",
"moonshotai/Kimi-K2-Thinking",
"moonshotai/Kimi-K2.6",
],
# AWS Bedrock — static fallback list used when dynamic discovery is
# unavailable (no boto3, no credentials, or API error). The agent
@@ -358,18 +332,18 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
],
}
# Vercel AI Gateway: derive the bare-model-id catalog from the curated
# ``VERCEL_AI_GATEWAY_MODELS`` snapshot so both the picker (tuples with descriptions)
# and the static fallback catalog (bare ids) stay in sync from a single
# source of truth.
_PROVIDER_MODELS["ai-gateway"] = [mid for mid, _ in VERCEL_AI_GATEWAY_MODELS]
# ---------------------------------------------------------------------------
# Nous Portal free-model helper
# Nous Portal free-model filtering
# ---------------------------------------------------------------------------
# The Nous Portal models endpoint is the source of truth for which models
# are currently offered (free or paid). We trust whatever it returns and
# surface it to users as-is — no local allowlist filtering.
# Models that are ALLOWED to appear when priced as free on Nous Portal.
# Any other free model is hidden — prevents promotional/temporary free models
# from cluttering the selection when users are paying subscribers.
# Models in this list are ALSO filtered out if they are NOT free (i.e. they
# should only appear in the menu when they are genuinely free).
_NOUS_ALLOWED_FREE_MODELS: frozenset[str] = frozenset({
"xiaomi/mimo-v2-pro",
"xiaomi/mimo-v2-omni",
})
def _is_model_free(model_id: str, pricing: dict[str, dict[str, str]]) -> bool:
@@ -383,6 +357,35 @@ def _is_model_free(model_id: str, pricing: dict[str, dict[str, str]]) -> bool:
return False
def filter_nous_free_models(
model_ids: list[str],
pricing: dict[str, dict[str, str]],
) -> list[str]:
"""Filter the Nous Portal model list according to free-model policy.
Rules:
Paid models that are NOT in the allowlist keep (normal case).
Free models that are NOT in the allowlist drop.
Allowlist models that ARE free keep.
Allowlist models that are NOT free drop.
"""
if not pricing:
return model_ids # no pricing data — can't filter, show everything
result: list[str] = []
for mid in model_ids:
free = _is_model_free(mid, pricing)
if mid in _NOUS_ALLOWED_FREE_MODELS:
# Allowlist model: only show when it's actually free
if free:
result.append(mid)
else:
# Regular model: keep only when it's NOT free
if not free:
result.append(mid)
return result
# ---------------------------------------------------------------------------
# Nous Portal account tier detection
# ---------------------------------------------------------------------------
@@ -446,7 +449,8 @@ def partition_nous_models_by_tier(
) -> tuple[list[str], list[str]]:
"""Split Nous models into (selectable, unavailable) based on user tier.
For paid-tier users: all models are selectable, none unavailable.
For paid-tier users: all models are selectable, none unavailable
(free-model filtering is handled separately by ``filter_nous_free_models``).
For free-tier users: only free models are selectable; paid models
are returned as unavailable (shown grayed out in the menu).
@@ -485,6 +489,8 @@ def check_nous_free_tier() -> bool:
Returns False (assume paid) on any error never blocks paying users.
"""
global _free_tier_cache
import time
now = time.monotonic()
if _free_tier_cache is not None:
cached_result, cached_at = _free_tier_cache
@@ -516,157 +522,6 @@ def check_nous_free_tier() -> bool:
return False # default to paid on error — don't block users
# ---------------------------------------------------------------------------
# Nous Portal recommended models
#
# The Portal publishes a curated list of suggested models (separated into
# paid and free tiers) plus dedicated recommendations for compaction (text
# summarisation / auxiliary) and vision tasks. We fetch it once per process
# with a TTL cache so callers can ask "what's the best aux model right now?"
# without hitting the network on every lookup.
#
# Shape of the response (fields we care about):
# {
# "paidRecommendedModels": [ {modelName, ...}, ... ],
# "freeRecommendedModels": [ {modelName, ...}, ... ],
# "paidRecommendedCompactionModel": {modelName, ...} | null,
# "paidRecommendedVisionModel": {modelName, ...} | null,
# "freeRecommendedCompactionModel": {modelName, ...} | null,
# "freeRecommendedVisionModel": {modelName, ...} | null,
# }
# ---------------------------------------------------------------------------
NOUS_RECOMMENDED_MODELS_PATH = "/api/nous/recommended-models"
_NOUS_RECOMMENDED_CACHE_TTL: int = 600 # seconds (10 minutes)
# (result_dict, timestamp) keyed by portal_base_url so staging vs prod don't collide.
_nous_recommended_cache: dict[str, tuple[dict[str, Any], float]] = {}
def fetch_nous_recommended_models(
portal_base_url: str = "",
timeout: float = 5.0,
*,
force_refresh: bool = False,
) -> dict[str, Any]:
"""Fetch the Nous Portal's curated recommended-models payload.
Hits ``<portal>/api/nous/recommended-models``. The endpoint is public
no auth is required. Results are cached per portal URL for
``_NOUS_RECOMMENDED_CACHE_TTL`` seconds; pass ``force_refresh=True`` to
bypass the cache.
Returns the parsed JSON dict on success, or ``{}`` on any failure
(network, parse, non-2xx). Callers must treat missing/null fields as
"no recommendation" and fall back to their own default.
"""
base = (portal_base_url or "https://portal.nousresearch.com").rstrip("/")
now = time.monotonic()
cached = _nous_recommended_cache.get(base)
if not force_refresh and cached is not None:
payload, cached_at = cached
if now - cached_at < _NOUS_RECOMMENDED_CACHE_TTL:
return payload
url = f"{base}{NOUS_RECOMMENDED_MODELS_PATH}"
try:
req = urllib.request.Request(
url,
headers={"Accept": "application/json"},
)
with urllib.request.urlopen(req, timeout=timeout) as resp:
data = json.loads(resp.read().decode())
if not isinstance(data, dict):
data = {}
except Exception:
data = {}
_nous_recommended_cache[base] = (data, now)
return data
def _resolve_nous_portal_url() -> str:
"""Best-effort lookup of the Portal base URL the user is authed against."""
try:
from hermes_cli.auth import (
DEFAULT_NOUS_PORTAL_URL,
get_provider_auth_state,
)
state = get_provider_auth_state("nous") or {}
portal = str(state.get("portal_base_url") or "").strip()
if portal:
return portal.rstrip("/")
return str(DEFAULT_NOUS_PORTAL_URL).rstrip("/")
except Exception:
return "https://portal.nousresearch.com"
def _extract_model_name(entry: Any) -> Optional[str]:
"""Pull the ``modelName`` field from a recommended-model entry, else None."""
if not isinstance(entry, dict):
return None
model_name = entry.get("modelName")
if isinstance(model_name, str) and model_name.strip():
return model_name.strip()
return None
def get_nous_recommended_aux_model(
*,
vision: bool = False,
free_tier: Optional[bool] = None,
portal_base_url: str = "",
force_refresh: bool = False,
) -> Optional[str]:
"""Return the Portal's recommended model name for an auxiliary task.
Picks the best field from the Portal's recommended-models payload:
* ``vision=True`` ``paidRecommendedVisionModel`` (paid tier) or
``freeRecommendedVisionModel`` (free tier)
* ``vision=False`` ``paidRecommendedCompactionModel`` or
``freeRecommendedCompactionModel``
When ``free_tier`` is ``None`` (default) the user's tier is auto-detected
via :func:`check_nous_free_tier`. Pass an explicit bool to bypass the
detection useful for tests or when the caller already knows the tier.
For paid-tier users we prefer the paid recommendation but gracefully fall
back to the free recommendation if the Portal returned ``null`` for the
paid field (common during the staged rollout of new paid models).
Returns ``None`` when every candidate is missing, null, or the fetch
fails callers should fall back to their own default (currently
``google/gemini-3-flash-preview``).
"""
base = portal_base_url or _resolve_nous_portal_url()
payload = fetch_nous_recommended_models(base, force_refresh=force_refresh)
if not payload:
return None
if free_tier is None:
try:
free_tier = check_nous_free_tier()
except Exception:
# On any detection error, assume paid — paid users see both fields
# anyway so this is a safe default that maximises model quality.
free_tier = False
if vision:
paid_key, free_key = "paidRecommendedVisionModel", "freeRecommendedVisionModel"
else:
paid_key, free_key = "paidRecommendedCompactionModel", "freeRecommendedCompactionModel"
# Preference order:
# free tier → free only
# paid tier → paid, then free (if paid field is null)
candidates = [free_key] if free_tier else [paid_key, free_key]
for key in candidates:
name = _extract_model_name(payload.get(key))
if name:
return name
return None
# ---------------------------------------------------------------------------
# Canonical provider list — single source of truth for provider identity.
# Every code path that lists, displays, or iterates providers derives from
@@ -687,7 +542,6 @@ class ProviderEntry(NamedTuple):
CANONICAL_PROVIDERS: list[ProviderEntry] = [
ProviderEntry("nous", "Nous Portal", "Nous Portal (Nous Research subscription)"),
ProviderEntry("openrouter", "OpenRouter", "OpenRouter (100+ models, pay-per-use)"),
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 models — pro, omni, flash)"),
@@ -703,7 +557,6 @@ CANONICAL_PROVIDERS: list[ProviderEntry] = [
ProviderEntry("zai", "Z.AI / GLM", "Z.AI / GLM (Zhipu AI direct API)"),
ProviderEntry("kimi-coding", "Kimi / Kimi Coding Plan", "Kimi Coding Plan (api.kimi.com) & Moonshot API"),
ProviderEntry("kimi-coding-cn", "Kimi / Moonshot (China)", "Kimi / Moonshot China (Moonshot CN direct API)"),
ProviderEntry("stepfun", "StepFun Step Plan", "StepFun Step Plan (agent/coding models via Step Plan API)"),
ProviderEntry("minimax", "MiniMax", "MiniMax (global direct API)"),
ProviderEntry("minimax-cn", "MiniMax (China)", "MiniMax China (domestic direct API)"),
ProviderEntry("alibaba", "Alibaba Cloud (DashScope)","Alibaba Cloud / DashScope Coding (Qwen + multi-provider)"),
@@ -712,6 +565,7 @@ CANONICAL_PROVIDERS: list[ProviderEntry] = [
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("ai-gateway", "Vercel AI Gateway", "Vercel AI Gateway (200+ models, pay-per-use)"),
ProviderEntry("bedrock", "AWS Bedrock", "AWS Bedrock (Claude, Nova, Llama, DeepSeek — IAM or API key)"),
]
@@ -738,8 +592,6 @@ _PROVIDER_ALIASES = {
"moonshot": "kimi-coding",
"kimi-cn": "kimi-coding-cn",
"moonshot-cn": "kimi-coding-cn",
"step": "stepfun",
"stepfun-coding-plan": "stepfun",
"arcee-ai": "arcee",
"arceeai": "arcee",
"minimax-china": "minimax-cn",
@@ -809,31 +661,6 @@ def _openrouter_model_is_free(pricing: Any) -> bool:
return False
def _openrouter_model_supports_tools(item: Any) -> bool:
"""Return True when the model's ``supported_parameters`` advertise tool calling.
hermes-agent is tool-calling-first every provider path assumes the model
can invoke tools. Models that don't advertise ``tools`` in their
``supported_parameters`` (e.g. image-only or completion-only models) cannot
be driven by the agent loop and would fail at the first tool call.
**Permissive when the field is missing.** Some OpenRouter-compatible gateways
(Nous Portal, private mirrors, older catalog snapshots) don't populate
``supported_parameters`` at all. Treat that as "unknown capability → allow"
so the picker doesn't silently empty for those users. Only hide models
whose ``supported_parameters`` is an explicit list that omits ``tools``.
Ported from Kilo-Org/kilocode#9068.
"""
if not isinstance(item, dict):
return True
params = item.get("supported_parameters")
if not isinstance(params, list):
# Field absent / malformed / None — be permissive.
return True
return "tools" in params
def fetch_openrouter_models(
timeout: float = 8.0,
*,
@@ -876,11 +703,6 @@ def fetch_openrouter_models(
live_item = live_by_id.get(preferred_id)
if live_item is None:
continue
# Hide models that don't advertise tool-calling support — hermes-agent
# requires it and surfacing them leads to immediate runtime failures
# when the user selects them. Ported from Kilo-Org/kilocode#9068.
if not _openrouter_model_supports_tools(live_item):
continue
desc = "free" if _openrouter_model_is_free(live_item.get("pricing")) else ""
curated.append((preferred_id, desc))
@@ -898,93 +720,6 @@ def model_ids(*, force_refresh: bool = False) -> list[str]:
return [mid for mid, _ in fetch_openrouter_models(force_refresh=force_refresh)]
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):
return False
try:
return float(pricing.get("input", "0")) == 0 and float(pricing.get("output", "0")) == 0
except (TypeError, ValueError):
return False
def fetch_ai_gateway_models(
timeout: float = 8.0,
*,
force_refresh: bool = False,
) -> list[tuple[str, str]]:
"""Return the curated AI Gateway picker list, refreshed from the live catalog when possible."""
global _ai_gateway_catalog_cache
if _ai_gateway_catalog_cache is not None and not force_refresh:
return list(_ai_gateway_catalog_cache)
from hermes_constants import AI_GATEWAY_BASE_URL
fallback = list(VERCEL_AI_GATEWAY_MODELS)
preferred_ids = [mid for mid, _ in fallback]
try:
req = urllib.request.Request(
f"{AI_GATEWAY_BASE_URL.rstrip('/')}/models",
headers={"Accept": "application/json"},
)
with urllib.request.urlopen(req, timeout=timeout) as resp:
payload = json.loads(resp.read().decode())
except Exception:
return list(_ai_gateway_catalog_cache or fallback)
live_items = payload.get("data", [])
if not isinstance(live_items, list):
return list(_ai_gateway_catalog_cache or fallback)
live_by_id: dict[str, dict[str, Any]] = {}
for item in live_items:
if not isinstance(item, dict):
continue
mid = str(item.get("id") or "").strip()
if not mid:
continue
live_by_id[mid] = item
curated: list[tuple[str, str]] = []
for preferred_id in preferred_ids:
live_item = live_by_id.get(preferred_id)
if live_item is None:
continue
desc = "free" if _ai_gateway_model_is_free(live_item.get("pricing")) else ""
curated.append((preferred_id, desc))
if not curated:
return list(_ai_gateway_catalog_cache or fallback)
# If the live catalog offers a free Moonshot model, auto-promote it to
# position #1 as "recommended" — dynamic discovery without a PR.
free_moonshot = next(
(
mid
for mid, item in live_by_id.items()
if mid.startswith("moonshotai/")
and _ai_gateway_model_is_free(item.get("pricing"))
),
None,
)
if free_moonshot:
curated = [(mid, desc) for mid, desc in curated if mid != free_moonshot]
curated.insert(0, (free_moonshot, "recommended"))
else:
first_id, _ = curated[0]
curated[0] = (first_id, "recommended")
_ai_gateway_catalog_cache = curated
return list(curated)
def ai_gateway_model_ids(*, force_refresh: bool = False) -> list[str]:
"""Return just the AI Gateway model-id strings."""
return [mid for mid, _ in fetch_ai_gateway_models(force_refresh=force_refresh)]
# ---------------------------------------------------------------------------
@@ -1129,56 +864,6 @@ def fetch_models_with_pricing(
return result
def fetch_ai_gateway_pricing(
timeout: float = 8.0,
*,
force_refresh: bool = False,
) -> dict[str, dict[str, str]]:
"""Fetch Vercel AI Gateway /v1/models and return hermes-shaped pricing.
Vercel uses ``input`` / ``output`` field names; hermes's picker expects
``prompt`` / ``completion``. This translates. Cache read/write field names
already match.
"""
from hermes_constants import AI_GATEWAY_BASE_URL
cache_key = AI_GATEWAY_BASE_URL.rstrip("/")
if not force_refresh and cache_key in _pricing_cache:
return _pricing_cache[cache_key]
try:
req = urllib.request.Request(
f"{cache_key}/models",
headers={"Accept": "application/json"},
)
with urllib.request.urlopen(req, timeout=timeout) as resp:
payload = json.loads(resp.read().decode())
except Exception:
_pricing_cache[cache_key] = {}
return {}
result: dict[str, dict[str, str]] = {}
for item in payload.get("data", []):
if not isinstance(item, dict):
continue
mid = item.get("id")
pricing = item.get("pricing")
if not (mid and isinstance(pricing, dict)):
continue
entry: dict[str, str] = {
"prompt": str(pricing.get("input", "")),
"completion": str(pricing.get("output", "")),
}
if pricing.get("input_cache_read"):
entry["input_cache_read"] = str(pricing["input_cache_read"])
if pricing.get("input_cache_write"):
entry["input_cache_write"] = str(pricing["input_cache_write"])
result[mid] = entry
_pricing_cache[cache_key] = result
return result
def _resolve_openrouter_api_key() -> str:
"""Best-effort OpenRouter API key for pricing fetch."""
return os.getenv("OPENROUTER_API_KEY", "").strip()
@@ -1197,7 +882,7 @@ def _resolve_nous_pricing_credentials() -> tuple[str, str]:
def get_pricing_for_provider(provider: str, *, force_refresh: bool = False) -> dict[str, dict[str, str]]:
"""Return live pricing for providers that support it (openrouter, nous, ai-gateway)."""
"""Return live pricing for providers that support it (openrouter, nous)."""
normalized = normalize_provider(provider)
if normalized == "openrouter":
return fetch_models_with_pricing(
@@ -1205,8 +890,6 @@ def get_pricing_for_provider(provider: str, *, force_refresh: bool = False) -> d
base_url="https://openrouter.ai/api",
force_refresh=force_refresh,
)
if normalized == "ai-gateway":
return fetch_ai_gateway_pricing(force_refresh=force_refresh)
if normalized == "nous":
api_key, base_url = _resolve_nous_pricing_credentials()
if base_url:
@@ -1411,6 +1094,7 @@ def detect_provider_for_model(
from hermes_cli.auth import PROVIDER_REGISTRY
pconfig = PROVIDER_REGISTRY.get(direct_match)
if pconfig:
import os
for env_var in pconfig.api_key_env_vars:
if os.getenv(env_var, "").strip():
has_creds = True
@@ -1620,19 +1304,6 @@ def provider_model_ids(provider: Optional[str], *, force_refresh: bool = False)
return live
except Exception:
pass
if normalized == "stepfun":
try:
from hermes_cli.auth import resolve_api_key_provider_credentials
creds = resolve_api_key_provider_credentials("stepfun")
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 == "anthropic":
live = _fetch_anthropic_models()
if live:
@@ -2098,7 +1769,7 @@ def probe_api_models(
candidates.append((alternate_base, True))
tried: list[str] = []
headers: dict[str, str] = {"User-Agent": _HERMES_USER_AGENT}
headers: dict[str, str] = {}
if api_key:
headers["Authorization"] = f"Bearer {api_key}"
if normalized.startswith(COPILOT_BASE_URL):
@@ -2560,70 +2231,13 @@ def validate_requested_model(
except Exception:
pass # Fall through to generic warning
# Static-catalog fallback: when the /models probe was unreachable,
# validate against the curated list from provider_model_ids() — same
# pattern as the openai-codex and minimax branches above. This fixes
# /model switches in the gateway for providers like opencode-go and
# opencode-zen whose /models endpoint returns 404 against the HTML
# marketing site. Without this block, validate_requested_model would
# reject every model on such providers, switch_model() would return
# success=False, and the gateway would never write to
# _session_model_overrides.
provider_label = _PROVIDER_LABELS.get(normalized, normalized)
try:
catalog_models = provider_model_ids(normalized)
except Exception:
catalog_models = []
if catalog_models:
catalog_lower = {m.lower(): m for m in catalog_models}
if requested_for_lookup.lower() in catalog_lower:
return {
"accepted": True,
"persist": True,
"recognized": True,
"message": None,
}
catalog_lower_list = list(catalog_lower.keys())
auto = get_close_matches(
requested_for_lookup.lower(), catalog_lower_list, n=1, cutoff=0.9
)
if auto:
corrected = catalog_lower[auto[0]]
return {
"accepted": True,
"persist": True,
"recognized": True,
"corrected_model": corrected,
"message": f"Auto-corrected `{requested}` → `{corrected}`",
}
suggestions = get_close_matches(
requested_for_lookup.lower(), catalog_lower_list, n=3, cutoff=0.5
)
suggestion_text = ""
if suggestions:
suggestion_text = "\n Similar models: " + ", ".join(
f"`{catalog_lower[s]}`" for s in suggestions
)
return {
"accepted": True,
"persist": True,
"recognized": False,
"message": (
f"Note: `{requested}` was not found in the {provider_label} curated catalog "
f"and the /models endpoint was unreachable.{suggestion_text}"
f"\n The model may still work if it exists on the provider."
),
}
# No catalog available — accept with a warning, matching the comment's
# stated intent ("Accept and persist, but warn").
return {
"accepted": True,
"persist": True,
"accepted": False,
"persist": False,
"recognized": False,
"message": (
f"Note: could not reach the {provider_label} API to validate `{requested}`. "
f"Could not reach the {provider_label} API to validate `{requested}`. "
f"If the service isn't down, this model may not be valid."
),
}
+4 -4
View File
@@ -10,7 +10,6 @@ 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 tools.tool_backend_helpers import (
fal_key_is_configured,
has_direct_modal_credentials,
managed_nous_tools_enabled,
normalize_browser_cloud_provider,
@@ -272,7 +271,7 @@ def get_nous_subscription_features(
direct_firecrawl = bool(get_env_value("FIRECRAWL_API_KEY") or get_env_value("FIRECRAWL_API_URL"))
direct_parallel = bool(get_env_value("PARALLEL_API_KEY"))
direct_tavily = bool(get_env_value("TAVILY_API_KEY"))
direct_fal = fal_key_is_configured()
direct_fal = bool(get_env_value("FAL_KEY"))
direct_openai_tts = bool(resolve_openai_audio_api_key())
direct_elevenlabs = bool(get_env_value("ELEVENLABS_API_KEY"))
direct_camofox = bool(get_env_value("CAMOFOX_URL"))
@@ -521,7 +520,7 @@ def apply_nous_managed_defaults(
browser_cfg["cloud_provider"] = "browser-use"
changed.add("browser")
if "image_gen" in selected_toolsets and not fal_key_is_configured():
if "image_gen" in selected_toolsets and not get_env_value("FAL_KEY"):
changed.add("image_gen")
return changed
@@ -549,7 +548,7 @@ def _get_gateway_direct_credentials() -> Dict[str, bool]:
or get_env_value("TAVILY_API_KEY")
or get_env_value("EXA_API_KEY")
),
"image_gen": fal_key_is_configured(),
"image_gen": bool(get_env_value("FAL_KEY")),
"tts": bool(
resolve_openai_audio_api_key()
or get_env_value("ELEVENLABS_API_KEY")
@@ -587,6 +586,7 @@ def get_gateway_eligible_tools(
return [], [], []
if config is None:
from hermes_cli.config import load_config
config = load_config() or {}
# Quick provider check without the heavy get_nous_subscription_features call
+44 -344
View File
@@ -2,20 +2,14 @@
Hermes Plugin System
====================
Discovers, loads, and manages plugins from four sources:
Discovers, loads, and manages plugins from three sources:
1. **Bundled plugins** ``<repo>/plugins/<name>/`` (shipped with hermes-agent;
``memory/`` and ``context_engine/`` subdirs are excluded they have their
own discovery paths)
2. **User plugins** ``~/.hermes/plugins/<name>/``
3. **Project plugins** ``./.hermes/plugins/<name>/`` (opt-in via
1. **User plugins** ``~/.hermes/plugins/<name>/``
2. **Project plugins** ``./.hermes/plugins/<name>/`` (opt-in via
``HERMES_ENABLE_PROJECT_PLUGINS``)
4. **Pip plugins** packages that expose the ``hermes_agent.plugins``
3. **Pip plugins** packages that expose the ``hermes_agent.plugins``
entry-point group.
Later sources override earlier ones on name collision, so a user or project
plugin with the same name as a bundled plugin replaces it.
Each directory plugin must contain a ``plugin.yaml`` manifest **and** an
``__init__.py`` with a ``register(ctx)`` function.
@@ -70,7 +64,6 @@ VALID_HOOKS: Set[str] = {
"on_session_end",
"on_session_finalize",
"on_session_reset",
"subagent_stop",
}
ENTRY_POINTS_GROUP = "hermes_agent.plugins"
@@ -84,12 +77,7 @@ def _env_enabled(name: str) -> bool:
def _get_disabled_plugins() -> set:
"""Read the disabled plugins list from config.yaml.
Kept for backward compat and explicit deny-list semantics. A plugin
name in this set will never load, even if it appears in
``plugins.enabled``.
"""
"""Read the disabled plugins list from config.yaml."""
try:
from hermes_cli.config import load_config
config = load_config()
@@ -99,43 +87,10 @@ def _get_disabled_plugins() -> set:
return set()
def _get_enabled_plugins() -> Optional[set]:
"""Read the enabled-plugins allow-list from config.yaml.
Plugins are opt-in by default only plugins whose name appears in
this set are loaded. Returns:
* ``None`` the key is missing or malformed. Callers should treat
this as "nothing enabled yet" (the opt-in default); the first
``migrate_config`` run populates the key with a grandfathered set
of currently-installed user plugins so existing setups don't
break on upgrade.
* ``set()`` an empty list was explicitly set; nothing loads.
* ``set(...)`` the concrete allow-list.
"""
try:
from hermes_cli.config import load_config
config = load_config()
plugins_cfg = config.get("plugins")
if not isinstance(plugins_cfg, dict):
return None
if "enabled" not in plugins_cfg:
return None
enabled = plugins_cfg.get("enabled")
if not isinstance(enabled, list):
return None
return set(enabled)
except Exception:
return None
# ---------------------------------------------------------------------------
# Data classes
# ---------------------------------------------------------------------------
_VALID_PLUGIN_KINDS: Set[str] = {"standalone", "backend", "exclusive"}
@dataclass
class PluginManifest:
"""Parsed representation of a plugin.yaml manifest."""
@@ -149,23 +104,6 @@ class PluginManifest:
provides_hooks: List[str] = field(default_factory=list)
source: str = "" # "user", "project", or "entrypoint"
path: Optional[str] = None
# Plugin kind — see plugins.py module docstring for semantics.
# ``standalone`` (default): hooks/tools of its own; opt-in via
# ``plugins.enabled``.
# ``backend``: pluggable backend for an existing core tool (e.g.
# image_gen). Built-in (bundled) backends auto-load;
# user-installed still gated by ``plugins.enabled``.
# ``exclusive``: category with exactly one active provider (memory).
# Selection via ``<category>.provider`` config key; the
# category's own discovery system handles loading and the
# general scanner skips these.
kind: str = "standalone"
# Registry key — path-derived, used by ``plugins.enabled``/``disabled``
# lookups and by ``hermes plugins list``. For a flat plugin at
# ``plugins/disk-cleanup/`` the key is ``disk-cleanup``; for a nested
# category plugin at ``plugins/image_gen/openai/`` the key is
# ``image_gen/openai``. When empty, falls back to ``name``.
key: str = ""
@dataclass
@@ -386,33 +324,6 @@ class PluginContext:
self.manifest.name, engine.name,
)
# -- image gen provider registration ------------------------------------
def register_image_gen_provider(self, provider) -> None:
"""Register an image generation backend.
``provider`` must be an instance of
:class:`agent.image_gen_provider.ImageGenProvider`. The
``provider.name`` attribute is what ``image_gen.provider`` in
``config.yaml`` matches against when routing ``image_generate``
tool calls.
"""
from agent.image_gen_provider import ImageGenProvider
from agent.image_gen_registry import register_provider
if not isinstance(provider, ImageGenProvider):
logger.warning(
"Plugin '%s' tried to register an image_gen provider that does "
"not inherit from ImageGenProvider. Ignoring.",
self.manifest.name,
)
return
register_provider(provider)
logger.info(
"Plugin '%s' registered image_gen provider: %s",
self.manifest.name, provider.name,
)
# -- hook registration --------------------------------------------------
def register_hook(self, hook_name: str, callback: Callable) -> None:
@@ -511,103 +422,26 @@ class PluginManager:
manifests: List[PluginManifest] = []
# 1. Bundled plugins (<repo>/plugins/<name>/)
#
# Repo-shipped plugins live next to hermes_cli/. Two layouts are
# supported (see ``_scan_directory`` for details):
#
# - flat: ``plugins/disk-cleanup/plugin.yaml`` (standalone)
# - category: ``plugins/image_gen/openai/plugin.yaml`` (backend)
#
# ``memory/`` and ``context_engine/`` are skipped at the top level —
# they have their own discovery systems. Porting those to the
# category-namespace ``kind: exclusive`` model is a future PR.
repo_plugins = Path(__file__).resolve().parent.parent / "plugins"
manifests.extend(
self._scan_directory(
repo_plugins,
source="bundled",
skip_names={"memory", "context_engine"},
)
)
# 2. User plugins (~/.hermes/plugins/)
# 1. User plugins (~/.hermes/plugins/)
user_dir = get_hermes_home() / "plugins"
manifests.extend(self._scan_directory(user_dir, source="user"))
# 3. Project plugins (./.hermes/plugins/)
# 2. Project plugins (./.hermes/plugins/)
if _env_enabled("HERMES_ENABLE_PROJECT_PLUGINS"):
project_dir = Path.cwd() / ".hermes" / "plugins"
manifests.extend(self._scan_directory(project_dir, source="project"))
# 4. Pip / entry-point plugins
# 3. Pip / entry-point plugins
manifests.extend(self._scan_entry_points())
# Load each manifest (skip user-disabled plugins).
# Later sources override earlier ones on key collision — user
# plugins take precedence over bundled, project plugins take
# precedence over user. Dedup here so we only load the final
# winner. Keys are path-derived (``image_gen/openai``,
# ``disk-cleanup``) so ``tts/openai`` and ``image_gen/openai``
# don't collide even when both manifests say ``name: openai``.
# Load each manifest (skip user-disabled plugins)
disabled = _get_disabled_plugins()
enabled = _get_enabled_plugins() # None = opt-in default (nothing enabled)
winners: Dict[str, PluginManifest] = {}
for manifest in manifests:
winners[manifest.key or manifest.name] = manifest
for manifest in winners.values():
lookup_key = manifest.key or manifest.name
# Explicit disable always wins (matches on key or on legacy
# bare name for back-compat with existing user configs).
if lookup_key in disabled or manifest.name in disabled:
if manifest.name in disabled:
loaded = LoadedPlugin(manifest=manifest, enabled=False)
loaded.error = "disabled via config"
self._plugins[lookup_key] = loaded
logger.debug("Skipping disabled plugin '%s'", lookup_key)
continue
# Exclusive plugins (memory providers) have their own
# discovery/activation path. The general loader records the
# manifest for introspection but does not load the module.
if manifest.kind == "exclusive":
loaded = LoadedPlugin(manifest=manifest, enabled=False)
loaded.error = (
"exclusive plugin — activate via <category>.provider config"
)
self._plugins[lookup_key] = loaded
logger.debug(
"Skipping '%s' (exclusive, handled by category discovery)",
lookup_key,
)
continue
# Built-in backends auto-load — they ship with hermes and must
# just work. Selection among them (e.g. which image_gen backend
# services calls) is driven by ``<category>.provider`` config,
# enforced by the tool wrapper.
if manifest.kind == "backend" and manifest.source == "bundled":
self._load_plugin(manifest)
continue
# Everything else (standalone, user-installed backends,
# entry-point plugins) is opt-in via plugins.enabled.
# Accept both the path-derived key and the legacy bare name
# so existing configs keep working.
is_enabled = (
enabled is not None
and (lookup_key in enabled or manifest.name in enabled)
)
if not is_enabled:
loaded = LoadedPlugin(manifest=manifest, enabled=False)
loaded.error = (
"not enabled in config (run `hermes plugins enable {}` to activate)"
.format(lookup_key)
)
self._plugins[lookup_key] = loaded
logger.debug(
"Skipping '%s' (not in plugins.enabled)", lookup_key
)
self._plugins[manifest.name] = loaded
logger.debug("Skipping disabled plugin '%s'", manifest.name)
continue
self._load_plugin(manifest)
@@ -622,46 +456,8 @@ class PluginManager:
# Directory scanning
# -----------------------------------------------------------------------
def _scan_directory(
self,
path: Path,
source: str,
skip_names: Optional[Set[str]] = None,
) -> List[PluginManifest]:
"""Read ``plugin.yaml`` manifests from subdirectories of *path*.
Supports two layouts, mixed freely:
* **Flat** ``<root>/<plugin-name>/plugin.yaml``. Key is
``<plugin-name>`` (e.g. ``disk-cleanup``).
* **Category** ``<root>/<category>/<plugin-name>/plugin.yaml``,
where the ``<category>`` directory itself has no ``plugin.yaml``.
Key is ``<category>/<plugin-name>`` (e.g. ``image_gen/openai``).
Depth is capped at two segments.
*skip_names* is an optional allow-list of names to ignore at the
top level (kept for back-compat; the current call sites no longer
pass it now that categories are first-class).
"""
return self._scan_directory_level(
path, source, skip_names=skip_names, prefix="", depth=0
)
def _scan_directory_level(
self,
path: Path,
source: str,
*,
skip_names: Optional[Set[str]],
prefix: str,
depth: int,
) -> List[PluginManifest]:
"""Recursive implementation of :meth:`_scan_directory`.
``prefix`` is the category path already accumulated ("" at root,
"image_gen" one level in). ``depth`` is the recursion depth; we
cap at 2 so ``<root>/a/b/c/`` is ignored.
"""
def _scan_directory(self, path: Path, source: str) -> List[PluginManifest]:
"""Read ``plugin.yaml`` manifests from subdirectories of *path*."""
manifests: List[PluginManifest] = []
if not path.is_dir():
return manifests
@@ -669,112 +465,35 @@ class PluginManager:
for child in sorted(path.iterdir()):
if not child.is_dir():
continue
if depth == 0 and skip_names and child.name in skip_names:
continue
manifest_file = child / "plugin.yaml"
if not manifest_file.exists():
manifest_file = child / "plugin.yml"
if manifest_file.exists():
manifest = self._parse_manifest(
manifest_file, child, source, prefix
)
if manifest is not None:
manifests.append(manifest)
if not manifest_file.exists():
logger.debug("Skipping %s (no plugin.yaml)", child)
continue
# No manifest at this level. If we're still within the depth
# cap, treat this directory as a category namespace and recurse
# one level in looking for children with manifests.
if depth >= 1:
logger.debug("Skipping %s (no plugin.yaml, depth cap reached)", child)
continue
sub_prefix = f"{prefix}/{child.name}" if prefix else child.name
manifests.extend(
self._scan_directory_level(
child,
source,
skip_names=None,
prefix=sub_prefix,
depth=depth + 1,
try:
if yaml is None:
logger.warning("PyYAML not installed cannot load %s", manifest_file)
continue
data = yaml.safe_load(manifest_file.read_text()) or {}
manifest = PluginManifest(
name=data.get("name", child.name),
version=str(data.get("version", "")),
description=data.get("description", ""),
author=data.get("author", ""),
requires_env=data.get("requires_env", []),
provides_tools=data.get("provides_tools", []),
provides_hooks=data.get("provides_hooks", []),
source=source,
path=str(child),
)
)
manifests.append(manifest)
except Exception as exc:
logger.warning("Failed to parse %s: %s", manifest_file, exc)
return manifests
def _parse_manifest(
self,
manifest_file: Path,
plugin_dir: Path,
source: str,
prefix: str,
) -> Optional[PluginManifest]:
"""Parse a single ``plugin.yaml`` into a :class:`PluginManifest`.
Returns ``None`` on parse failure (logs a warning).
"""
try:
if yaml is None:
logger.warning("PyYAML not installed cannot load %s", manifest_file)
return None
data = yaml.safe_load(manifest_file.read_text()) or {}
name = data.get("name", plugin_dir.name)
key = f"{prefix}/{plugin_dir.name}" if prefix else name
raw_kind = data.get("kind", "standalone")
if not isinstance(raw_kind, str):
raw_kind = "standalone"
kind = raw_kind.strip().lower()
if kind not in _VALID_PLUGIN_KINDS:
logger.warning(
"Plugin %s: unknown kind '%s' (valid: %s); treating as 'standalone'",
key, raw_kind, ", ".join(sorted(_VALID_PLUGIN_KINDS)),
)
kind = "standalone"
# Auto-coerce user-installed memory providers to kind="exclusive"
# so they're routed to plugins/memory discovery instead of being
# loaded by the general PluginManager (which has no
# register_memory_provider on PluginContext). Mirrors the
# heuristic in plugins/memory/__init__.py:_is_memory_provider_dir.
# Bundled memory providers are already skipped via skip_names.
if kind == "standalone" and "kind" not in data:
init_file = plugin_dir / "__init__.py"
if init_file.exists():
try:
source_text = init_file.read_text(errors="replace")[:8192]
if (
"register_memory_provider" in source_text
or "MemoryProvider" in source_text
):
kind = "exclusive"
logger.debug(
"Plugin %s: detected memory provider, "
"treating as kind='exclusive'",
key,
)
except Exception:
pass
return PluginManifest(
name=name,
version=str(data.get("version", "")),
description=data.get("description", ""),
author=data.get("author", ""),
requires_env=data.get("requires_env", []),
provides_tools=data.get("provides_tools", []),
provides_hooks=data.get("provides_hooks", []),
source=source,
path=str(plugin_dir),
kind=kind,
key=key,
)
except Exception as exc:
logger.warning("Failed to parse %s: %s", manifest_file, exc)
return None
# -----------------------------------------------------------------------
# Entry-point scanning
# -----------------------------------------------------------------------
@@ -797,7 +516,6 @@ class PluginManager:
name=ep.name,
source="entrypoint",
path=ep.value,
key=ep.name,
)
manifests.append(manifest)
except Exception as exc:
@@ -814,7 +532,7 @@ class PluginManager:
loaded = LoadedPlugin(manifest=manifest)
try:
if manifest.source in ("user", "project", "bundled"):
if manifest.source in ("user", "project"):
module = self._load_directory_module(manifest)
else:
module = self._load_entrypoint_module(manifest)
@@ -859,16 +577,10 @@ class PluginManager:
loaded.error = str(exc)
logger.warning("Failed to load plugin '%s': %s", manifest.name, exc)
self._plugins[manifest.key or manifest.name] = loaded
self._plugins[manifest.name] = loaded
def _load_directory_module(self, manifest: PluginManifest) -> types.ModuleType:
"""Import a directory-based plugin as ``hermes_plugins.<slug>``.
The module slug is derived from ``manifest.key`` so category-namespaced
plugins (``image_gen/openai``) import as
``hermes_plugins.image_gen__openai`` without colliding with any
future ``tts/openai``.
"""
"""Import a directory-based plugin as ``hermes_plugins.<name>``."""
plugin_dir = Path(manifest.path) # type: ignore[arg-type]
init_file = plugin_dir / "__init__.py"
if not init_file.exists():
@@ -881,9 +593,7 @@ class PluginManager:
ns_pkg.__package__ = _NS_PARENT
sys.modules[_NS_PARENT] = ns_pkg
key = manifest.key or manifest.name
slug = key.replace("/", "__").replace("-", "_")
module_name = f"{_NS_PARENT}.{slug}"
module_name = f"{_NS_PARENT}.{manifest.name.replace('-', '_')}"
spec = importlib.util.spec_from_file_location(
module_name,
init_file,
@@ -964,12 +674,10 @@ class PluginManager:
def list_plugins(self) -> List[Dict[str, Any]]:
"""Return a list of info dicts for all discovered plugins."""
result: List[Dict[str, Any]] = []
for key, loaded in sorted(self._plugins.items()):
for name, loaded in sorted(self._plugins.items()):
result.append(
{
"name": loaded.manifest.name,
"key": loaded.manifest.key or loaded.manifest.name,
"kind": loaded.manifest.kind,
"name": name,
"version": loaded.manifest.version,
"description": loaded.manifest.description,
"source": loaded.manifest.source,
@@ -1073,31 +781,23 @@ def get_pre_tool_call_block_message(
return None
def _ensure_plugins_discovered() -> PluginManager:
"""Return the global manager after running idempotent plugin discovery."""
manager = get_plugin_manager()
manager.discover_and_load()
return manager
def get_plugin_context_engine():
"""Return the plugin-registered context engine, or None."""
return _ensure_plugins_discovered()._context_engine
return get_plugin_manager()._context_engine
def get_plugin_command_handler(name: str) -> Optional[Callable]:
"""Return the handler for a plugin-registered slash command, or ``None``."""
entry = _ensure_plugins_discovered()._plugin_commands.get(name)
entry = get_plugin_manager()._plugin_commands.get(name)
return entry["handler"] if entry else None
def get_plugin_commands() -> Dict[str, dict]:
"""Return the full plugin commands dict (name → {handler, description, plugin}).
Triggers idempotent plugin discovery so callers can use plugin commands
before any explicit discover_plugins() call.
Safe to call before discovery returns an empty dict if no plugins loaded.
"""
return _ensure_plugins_discovered()._plugin_commands
return get_plugin_manager()._plugin_commands
def get_plugin_toolsets() -> List[tuple]:
+93 -245
View File
@@ -15,7 +15,6 @@ import shutil
import subprocess
import sys
from pathlib import Path
from typing import Optional
from hermes_constants import get_hermes_home
@@ -282,16 +281,8 @@ def _require_installed_plugin(name: str, plugins_dir: Path, console) -> Path:
# ---------------------------------------------------------------------------
def cmd_install(
identifier: str,
force: bool = False,
enable: Optional[bool] = None,
) -> None:
"""Install a plugin from a Git URL or owner/repo shorthand.
After install, prompt "Enable now? [y/N]" unless *enable* is provided
(True = auto-enable without prompting, False = install disabled).
"""
def cmd_install(identifier: str, force: bool = False) -> None:
"""Install a plugin from a Git URL or owner/repo shorthand."""
import tempfile
from rich.console import Console
@@ -400,40 +391,6 @@ def cmd_install(
_display_after_install(target, identifier)
# Determine the canonical plugin name for enable-list bookkeeping.
installed_name = installed_manifest.get("name") or target.name
# Decide whether to enable: explicit flag > interactive prompt > default off
should_enable = enable
if should_enable is None:
# Interactive prompt unless stdin isn't a TTY (scripted install).
if sys.stdin.isatty() and sys.stdout.isatty():
try:
answer = input(
f" Enable '{installed_name}' now? [y/N]: "
).strip().lower()
should_enable = answer in ("y", "yes")
except (EOFError, KeyboardInterrupt):
should_enable = False
else:
should_enable = False
if should_enable:
enabled = _get_enabled_set()
disabled = _get_disabled_set()
enabled.add(installed_name)
disabled.discard(installed_name)
_save_enabled_set(enabled)
_save_disabled_set(disabled)
console.print(
f"[green]✓[/green] Plugin [bold]{installed_name}[/bold] enabled."
)
else:
console.print(
f"[dim]Plugin installed but not enabled. "
f"Run `hermes plugins enable {installed_name}` to activate.[/dim]"
)
console.print("[dim]Restart the gateway for the plugin to take effect:[/dim]")
console.print("[dim] hermes gateway restart[/dim]")
console.print()
@@ -511,11 +468,7 @@ def cmd_remove(name: str) -> None:
def _get_disabled_set() -> set:
"""Read the disabled plugins set from config.yaml.
An explicit deny-list. A plugin name here never loads, even if also
listed in ``plugins.enabled``.
"""
"""Read the disabled plugins set from config.yaml."""
try:
from hermes_cli.config import load_config
config = load_config()
@@ -535,196 +488,103 @@ def _save_disabled_set(disabled: set) -> None:
save_config(config)
def _get_enabled_set() -> set:
"""Read the enabled plugins allow-list from config.yaml.
Plugins are opt-in: only names here are loaded. Returns ``set()`` if
the key is missing (same behaviour as "nothing enabled yet").
"""
try:
from hermes_cli.config import load_config
config = load_config()
plugins_cfg = config.get("plugins", {})
if not isinstance(plugins_cfg, dict):
return set()
enabled = plugins_cfg.get("enabled", [])
return set(enabled) if isinstance(enabled, list) else set()
except Exception:
return set()
def _save_enabled_set(enabled: set) -> None:
"""Write the enabled plugins list to config.yaml."""
from hermes_cli.config import load_config, save_config
config = load_config()
if "plugins" not in config:
config["plugins"] = {}
config["plugins"]["enabled"] = sorted(enabled)
save_config(config)
def cmd_enable(name: str) -> None:
"""Add a plugin to the enabled allow-list (and remove it from disabled)."""
"""Enable a previously disabled plugin."""
from rich.console import Console
console = Console()
# Discover the plugin — check installed (user) AND bundled.
if not _plugin_exists(name):
console.print(f"[red]Plugin '{name}' is not installed or bundled.[/red]")
plugins_dir = _plugins_dir()
# Verify the plugin exists
target = plugins_dir / name
if not target.is_dir():
console.print(f"[red]Plugin '{name}' is not installed.[/red]")
sys.exit(1)
enabled = _get_enabled_set()
disabled = _get_disabled_set()
if name in enabled and name not in disabled:
if name not in disabled:
console.print(f"[dim]Plugin '{name}' is already enabled.[/dim]")
return
enabled.add(name)
disabled.discard(name)
_save_enabled_set(enabled)
_save_disabled_set(disabled)
console.print(
f"[green]✓[/green] Plugin [bold]{name}[/bold] enabled. "
"Takes effect on next session."
)
console.print(f"[green]✓[/green] Plugin [bold]{name}[/bold] enabled. Takes effect on next session.")
def cmd_disable(name: str) -> None:
"""Remove a plugin from the enabled allow-list (and add to disabled)."""
"""Disable a plugin without removing it."""
from rich.console import Console
console = Console()
if not _plugin_exists(name):
console.print(f"[red]Plugin '{name}' is not installed or bundled.[/red]")
plugins_dir = _plugins_dir()
# Verify the plugin exists
target = plugins_dir / name
if not target.is_dir():
console.print(f"[red]Plugin '{name}' is not installed.[/red]")
sys.exit(1)
enabled = _get_enabled_set()
disabled = _get_disabled_set()
if name not in enabled and name in disabled:
if name in disabled:
console.print(f"[dim]Plugin '{name}' is already disabled.[/dim]")
return
enabled.discard(name)
disabled.add(name)
_save_enabled_set(enabled)
_save_disabled_set(disabled)
console.print(
f"[yellow]\u2298[/yellow] Plugin [bold]{name}[/bold] disabled. "
"Takes effect on next session."
)
console.print(f"[yellow]\u2298[/yellow] Plugin [bold]{name}[/bold] disabled. Takes effect on next session.")
def _plugin_exists(name: str) -> bool:
"""Return True if a plugin with *name* is installed (user) or bundled."""
# Installed: directory name or manifest name match in user plugins dir
user_dir = _plugins_dir()
if user_dir.is_dir():
if (user_dir / name).is_dir():
return True
for child in user_dir.iterdir():
if not child.is_dir():
continue
manifest = _read_manifest(child)
if manifest.get("name") == name:
return True
# Bundled: <repo>/plugins/<name>/
from pathlib import Path as _P
import hermes_cli
repo_plugins = _P(hermes_cli.__file__).resolve().parent.parent / "plugins"
if repo_plugins.is_dir():
candidate = repo_plugins / name
if candidate.is_dir() and (
(candidate / "plugin.yaml").exists()
or (candidate / "plugin.yml").exists()
):
return True
return False
def cmd_list() -> None:
"""List installed plugins."""
from rich.console import Console
from rich.table import Table
def _discover_all_plugins() -> list:
"""Return a list of (name, version, description, source, dir_path) for
every plugin the loader can see user + bundled + project.
Matches the ordering/dedup of ``PluginManager.discover_and_load``:
bundled first, then user, then project; user overrides bundled on
name collision.
"""
try:
import yaml
except ImportError:
yaml = None
seen: dict = {} # name -> (name, version, description, source, path)
# Bundled (<repo>/plugins/<name>/), excluding memory/ and context_engine/
import hermes_cli
repo_plugins = Path(hermes_cli.__file__).resolve().parent.parent / "plugins"
for base, source in ((repo_plugins, "bundled"), (_plugins_dir(), "user")):
if not base.is_dir():
continue
for d in sorted(base.iterdir()):
if not d.is_dir():
continue
if source == "bundled" and d.name in ("memory", "context_engine"):
continue
manifest_file = d / "plugin.yaml"
if not manifest_file.exists():
manifest_file = d / "plugin.yml"
if not manifest_file.exists():
continue
name = d.name
version = ""
description = ""
if yaml:
try:
with open(manifest_file) as f:
manifest = yaml.safe_load(f) or {}
name = manifest.get("name", d.name)
version = manifest.get("version", "")
description = manifest.get("description", "")
except Exception:
pass
# User plugins override bundled on name collision.
if name in seen and source == "bundled":
continue
src_label = source
if source == "user" and (d / ".git").exists():
src_label = "git"
seen[name] = (name, version, description, src_label, d)
return list(seen.values())
def cmd_list() -> None:
"""List all plugins (bundled + user) with enabled/disabled state."""
from rich.console import Console
from rich.table import Table
console = Console()
entries = _discover_all_plugins()
if not entries:
plugins_dir = _plugins_dir()
dirs = sorted(d for d in plugins_dir.iterdir() if d.is_dir())
if not dirs:
console.print("[dim]No plugins installed.[/dim]")
console.print("[dim]Install with:[/dim] hermes plugins install owner/repo")
return
enabled = _get_enabled_set()
disabled = _get_disabled_set()
table = Table(title="Plugins", show_lines=False)
table = Table(title="Installed Plugins", show_lines=False)
table.add_column("Name", style="bold")
table.add_column("Status")
table.add_column("Version", style="dim")
table.add_column("Description")
table.add_column("Source", style="dim")
for name, version, description, source, _dir in entries:
if name in disabled:
status = "[red]disabled[/red]"
elif name in enabled:
status = "[green]enabled[/green]"
else:
status = "[yellow]not enabled[/yellow]"
for d in dirs:
manifest_file = d / "plugin.yaml"
name = d.name
version = ""
description = ""
source = "local"
if manifest_file.exists() and yaml:
try:
with open(manifest_file) as f:
manifest = yaml.safe_load(f) or {}
name = manifest.get("name", d.name)
version = manifest.get("version", "")
description = manifest.get("description", "")
except Exception:
pass
# Check if it's a git repo (installed via hermes plugins install)
if (d / ".git").exists():
source = "git"
is_disabled = name in disabled or d.name in disabled
status = "[red]disabled[/red]" if is_disabled else "[green]enabled[/green]"
table.add_row(name, status, str(version), description, source)
console.print()
@@ -732,7 +592,6 @@ def cmd_list() -> None:
console.print()
console.print("[dim]Interactive toggle:[/dim] hermes plugins")
console.print("[dim]Enable/disable:[/dim] hermes plugins enable/disable <name>")
console.print("[dim]Plugins are opt-in by default — only 'enabled' plugins load.[/dim]")
# ---------------------------------------------------------------------------
@@ -883,25 +742,41 @@ def cmd_toggle() -> None:
"""Interactive composite UI — general plugins + provider plugin categories."""
from rich.console import Console
console = Console()
try:
import yaml
except ImportError:
yaml = None
# -- General plugins discovery (bundled + user) --
entries = _discover_all_plugins()
enabled_set = _get_enabled_set()
disabled_set = _get_disabled_set()
console = Console()
plugins_dir = _plugins_dir()
# -- General plugins discovery --
dirs = sorted(d for d in plugins_dir.iterdir() if d.is_dir())
disabled = _get_disabled_set()
plugin_names = []
plugin_labels = []
plugin_selected = set()
for i, (name, _version, description, source, _d) in enumerate(entries):
label = f"{name} \u2014 {description}" if description else name
if source == "bundled":
label = f"{label} [bundled]"
for i, d in enumerate(dirs):
manifest_file = d / "plugin.yaml"
name = d.name
description = ""
if manifest_file.exists() and yaml:
try:
with open(manifest_file) as f:
manifest = yaml.safe_load(f) or {}
name = manifest.get("name", d.name)
description = manifest.get("description", "")
except Exception:
pass
plugin_names.append(name)
label = f"{name} \u2014 {description}" if description else name
plugin_labels.append(label)
# Selected (enabled) when in enabled-set AND not in disabled-set
if name in enabled_set and name not in disabled_set:
if name not in disabled and d.name not in disabled:
plugin_selected.add(i)
# -- Provider categories --
@@ -929,10 +804,10 @@ def cmd_toggle() -> None:
try:
import curses
_run_composite_ui(curses, plugin_names, plugin_labels, plugin_selected,
disabled_set, categories, console)
disabled, categories, console)
except ImportError:
_run_composite_fallback(plugin_names, plugin_labels, plugin_selected,
disabled_set, categories, console)
disabled, categories, console)
def _run_composite_ui(curses, plugin_names, plugin_labels, plugin_selected,
@@ -1145,29 +1020,18 @@ def _run_composite_ui(curses, plugin_names, plugin_labels, plugin_selected,
curses.wrapper(_draw)
flush_stdin()
# Persist general plugin changes. The new allow-list is the set of
# plugin names that were checked; anything not checked is explicitly
# disabled (written to disabled-list) so it remains off even if the
# plugin code does something clever like auto-enable in the future.
new_enabled: set = set()
new_disabled: set = set(disabled) # preserve existing disabled state for unseen plugins
# Persist general plugin changes
new_disabled = set()
for i, name in enumerate(plugin_names):
if i in chosen:
new_enabled.add(name)
new_disabled.discard(name)
else:
if i not in chosen:
new_disabled.add(name)
prev_enabled = _get_enabled_set()
enabled_changed = new_enabled != prev_enabled
disabled_changed = new_disabled != disabled
if enabled_changed or disabled_changed:
_save_enabled_set(new_enabled)
if new_disabled != disabled:
_save_disabled_set(new_disabled)
enabled_count = len(plugin_names) - len(new_disabled)
console.print(
f"\n[green]\u2713[/green] General plugins: {len(new_enabled)} enabled, "
f"{len(plugin_names) - len(new_enabled)} disabled."
f"\n[green]\u2713[/green] General plugins: {enabled_count} enabled, "
f"{len(new_disabled)} disabled."
)
elif n_plugins > 0:
console.print("\n[dim]General plugins unchanged.[/dim]")
@@ -1214,17 +1078,11 @@ def _run_composite_fallback(plugin_names, plugin_labels, plugin_selected,
return
print()
new_enabled: set = set()
new_disabled: set = set(disabled)
new_disabled = set()
for i, name in enumerate(plugin_names):
if i in chosen:
new_enabled.add(name)
new_disabled.discard(name)
else:
if i not in chosen:
new_disabled.add(name)
prev_enabled = _get_enabled_set()
if new_enabled != prev_enabled or new_disabled != disabled:
_save_enabled_set(new_enabled)
if new_disabled != disabled:
_save_disabled_set(new_disabled)
# Provider categories
@@ -1250,17 +1108,7 @@ def plugins_command(args) -> None:
action = getattr(args, "plugins_action", None)
if action == "install":
# Map argparse tri-state: --enable=True, --no-enable=False, neither=None (prompt)
enable_arg = None
if getattr(args, "enable", False):
enable_arg = True
elif getattr(args, "no_enable", False):
enable_arg = False
cmd_install(
args.identifier,
force=getattr(args, "force", False),
enable=enable_arg,
)
cmd_install(args.identifier, force=getattr(args, "force", False))
elif action == "update":
cmd_update(args.name)
elif action in ("remove", "rm", "uninstall"):
+3 -29
View File
@@ -23,8 +23,6 @@ import logging
from dataclasses import dataclass
from typing import Any, Dict, List, Optional, Tuple
from utils import base_url_host_matches, base_url_hostname
logger = logging.getLogger(__name__)
@@ -94,12 +92,6 @@ HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
transport="openai_chat",
base_url_env_var="KIMI_BASE_URL",
),
"stepfun": HermesOverlay(
transport="openai_chat",
extra_env_vars=("STEPFUN_API_KEY",),
base_url_override="https://api.stepfun.ai/step_plan/v1",
base_url_env_var="STEPFUN_BASE_URL",
),
"minimax": HermesOverlay(
transport="anthropic_messages",
base_url_env_var="MINIMAX_BASE_URL",
@@ -216,10 +208,6 @@ ALIASES: Dict[str, str] = {
"kimi-coding-cn": "kimi-for-coding",
"moonshot": "kimi-for-coding",
# stepfun
"step": "stepfun",
"stepfun-coding-plan": "stepfun",
# minimax-cn
"minimax-china": "minimax-cn",
"minimax_cn": "minimax-cn",
@@ -304,7 +292,6 @@ _LABEL_OVERRIDES: Dict[str, str] = {
"nous": "Nous Portal",
"openai-codex": "OpenAI Codex",
"copilot-acp": "GitHub Copilot ACP",
"stepfun": "StepFun Step Plan",
"xiaomi": "Xiaomi MiMo",
"local": "Local endpoint",
"bedrock": "AWS Bedrock",
@@ -438,16 +425,6 @@ def determine_api_mode(provider: str, base_url: str = "") -> str:
"""
pdef = get_provider(provider)
if pdef is not None:
# Even for known providers, check URL heuristics for special endpoints
# (e.g. kimi /coding endpoint needs anthropic_messages even on 'custom')
if base_url:
url_lower = base_url.rstrip("/").lower()
if "api.kimi.com/coding" in url_lower:
return "anthropic_messages"
if url_lower.endswith("/anthropic") or "api.anthropic.com" in url_lower:
return "anthropic_messages"
if "api.openai.com" in url_lower:
return "codex_responses"
return TRANSPORT_TO_API_MODE.get(pdef.transport, "chat_completions")
# Direct provider checks for providers not in HERMES_OVERLAYS
@@ -457,14 +434,11 @@ def determine_api_mode(provider: str, base_url: str = "") -> str:
# URL-based heuristics for custom / unknown providers
if base_url:
url_lower = base_url.rstrip("/").lower()
hostname = base_url_hostname(base_url)
if url_lower.endswith("/anthropic") or hostname == "api.anthropic.com":
if url_lower.endswith("/anthropic") or "api.anthropic.com" in url_lower:
return "anthropic_messages"
if hostname == "api.kimi.com" and "/coding" in url_lower:
return "anthropic_messages"
if hostname == "api.openai.com":
if "api.openai.com" in url_lower:
return "codex_responses"
if hostname.startswith("bedrock-runtime.") and base_url_host_matches(base_url, "amazonaws.com"):
if "bedrock-runtime" in url_lower and "amazonaws.com" in url_lower:
return "bedrock_converse"
return "chat_completions"
+9 -21
View File
@@ -29,7 +29,6 @@ from hermes_cli.auth import (
)
from hermes_cli.config import get_compatible_custom_providers, load_config
from hermes_constants import OPENROUTER_BASE_URL
from utils import base_url_host_matches, base_url_hostname
def _normalize_custom_provider_name(value: str) -> str:
@@ -46,20 +45,14 @@ def _detect_api_mode_for_url(base_url: str) -> Optional[str]:
protocol under a ``/anthropic`` suffix treat those as
``anthropic_messages`` transport instead of the default
``chat_completions``.
- Kimi Code's ``api.kimi.com/coding`` endpoint also speaks the
Anthropic Messages protocol (the /coding route accepts Claude
Code's native request shape).
"""
normalized = (base_url or "").strip().lower().rstrip("/")
hostname = base_url_hostname(base_url)
if hostname == "api.x.ai":
if "api.x.ai" in normalized:
return "codex_responses"
if hostname == "api.openai.com":
if "api.openai.com" in normalized and "openrouter" not in normalized:
return "codex_responses"
if normalized.endswith("/anthropic"):
return "anthropic_messages"
if hostname == "api.kimi.com" and "/coding" in normalized:
return "anthropic_messages"
return None
@@ -210,8 +203,7 @@ def _resolve_runtime_from_pool_entry(
api_mode = opencode_model_api_mode(provider, model_cfg.get("default", ""))
else:
# Auto-detect Anthropic-compatible endpoints (/anthropic suffix,
# Kimi /coding, api.openai.com → codex_responses, api.x.ai →
# codex_responses).
# api.openai.com → codex_responses, api.x.ai → codex_responses).
detected = _detect_api_mode_for_url(base_url)
if detected:
api_mode = detected
@@ -488,7 +480,7 @@ def _resolve_openrouter_runtime(
# When hitting a custom endpoint (e.g. Z.ai, local LLM), prefer
# OPENAI_API_KEY so the OpenRouter key doesn't leak to an unrelated
# provider (issues #420, #560).
_is_openrouter_url = base_url_host_matches(base_url, "openrouter.ai")
_is_openrouter_url = "openrouter.ai" in base_url
if _is_openrouter_url:
api_key_candidates = [
explicit_api_key,
@@ -498,12 +490,8 @@ def _resolve_openrouter_runtime(
else:
# Custom endpoint: use api_key from config when using config base_url (#1760).
# When the endpoint is Ollama Cloud, check OLLAMA_API_KEY — it's
# the canonical env var for ollama.com authentication. Match on
# HOST, not substring — a custom base_url whose path contains
# "ollama.com" (e.g. http://127.0.0.1/ollama.com/v1) or whose
# hostname is a look-alike (ollama.com.attacker.test) must not
# receive the Ollama credential. See GHSA-76xc-57q6-vm5m.
_is_ollama_url = base_url_host_matches(base_url, "ollama.com")
# the canonical env var for ollama.com authentication.
_is_ollama_url = "ollama.com" in base_url.lower()
api_key_candidates = [
explicit_api_key,
(cfg_api_key if use_config_base_url else ""),
@@ -666,8 +654,7 @@ def _resolve_explicit_runtime(
if configured_mode:
api_mode = configured_mode
else:
# Auto-detect from URL (Anthropic /anthropic suffix,
# api.openai.com → Responses, Kimi /coding, etc.).
# Auto-detect Anthropic-compatible endpoints (/anthropic suffix).
detected = _detect_api_mode_for_url(base_url)
if detected:
api_mode = detected
@@ -917,7 +904,8 @@ def resolve_runtime_provider(
code="no_aws_credentials",
)
# Read bedrock-specific config from config.yaml
_bedrock_cfg = load_config().get("bedrock", {})
from hermes_cli.config import load_config as _load_bedrock_config
_bedrock_cfg = _load_bedrock_config().get("bedrock", {})
# Region priority: config.yaml bedrock.region → env var → us-east-1
region = (_bedrock_cfg.get("region") or "").strip() or resolve_bedrock_region()
auth_source = resolve_aws_auth_env_var() or "aws-sdk-default-chain"
+58 -169
View File
@@ -22,7 +22,6 @@ from typing import Optional, Dict, Any
from hermes_cli.nous_subscription import get_nous_subscription_features
from tools.tool_backend_helpers import managed_nous_tools_enabled
from utils import base_url_hostname
from hermes_constants import get_optional_skills_dir
logger = logging.getLogger(__name__)
@@ -94,16 +93,15 @@ _DEFAULT_PROVIDER_MODELS = {
"gemini-3-flash-preview", "gemini-3.1-flash-lite-preview",
],
"zai": ["glm-5.1", "glm-5", "glm-4.7", "glm-4.5", "glm-4.5-flash"],
"kimi-coding": ["kimi-k2.6", "kimi-k2.5", "kimi-k2-thinking", "kimi-k2-turbo-preview"],
"kimi-coding-cn": ["kimi-k2.6", "kimi-k2.5", "kimi-k2-thinking", "kimi-k2-turbo-preview"],
"stepfun": ["step-3.5-flash", "step-3.5-flash-2603"],
"kimi-coding": ["kimi-k2.5", "kimi-k2-thinking", "kimi-k2-turbo-preview"],
"kimi-coding-cn": ["kimi-k2.5", "kimi-k2-thinking", "kimi-k2-turbo-preview"],
"arcee": ["trinity-large-thinking", "trinity-large-preview", "trinity-mini"],
"minimax": ["MiniMax-M2.7", "MiniMax-M2.5", "MiniMax-M2.1", "MiniMax-M2"],
"minimax-cn": ["MiniMax-M2.7", "MiniMax-M2.5", "MiniMax-M2.1", "MiniMax-M2"],
"ai-gateway": ["anthropic/claude-opus-4.6", "anthropic/claude-sonnet-4.6", "openai/gpt-5", "google/gemini-3-flash"],
"kilocode": ["anthropic/claude-opus-4.6", "anthropic/claude-sonnet-4.6", "openai/gpt-5.4", "google/gemini-3-pro-preview", "google/gemini-3-flash-preview"],
"opencode-zen": ["gpt-5.4", "gpt-5.3-codex", "claude-sonnet-4-6", "gemini-3-flash", "glm-5", "kimi-k2.5", "minimax-m2.7"],
"opencode-go": ["kimi-k2.6", "kimi-k2.5", "glm-5.1", "glm-5", "mimo-v2-pro", "mimo-v2-omni", "minimax-m2.5", "minimax-m2.7", "qwen3.6-plus", "qwen3.5-plus"],
"opencode-go": ["glm-5.1", "glm-5", "kimi-k2.5", "mimo-v2-pro", "mimo-v2-omni", "minimax-m2.5", "minimax-m2.7"],
"huggingface": [
"Qwen/Qwen3.5-397B-A17B", "Qwen/Qwen3-235B-A22B-Thinking-2507",
"Qwen/Qwen3-Coder-480B-A35B-Instruct", "deepseek-ai/DeepSeek-R1-0528",
@@ -409,36 +407,13 @@ def _print_setup_summary(config: dict, hermes_home):
("Browser Automation", False, missing_browser_hint)
)
# Image generation — FAL (direct or via Nous), or any plugin-registered
# provider (OpenAI, etc.)
# FAL (image generation)
if subscription_features.image_gen.managed_by_nous:
tool_status.append(("Image Generation (Nous subscription)", True, None))
elif subscription_features.image_gen.available:
tool_status.append(("Image Generation", True, None))
else:
# Fall back to probing plugin-registered providers so OpenAI-only
# setups don't show as "missing FAL_KEY".
_img_backend = None
try:
from agent.image_gen_registry import list_providers
from hermes_cli.plugins import _ensure_plugins_discovered
_ensure_plugins_discovered()
for _p in list_providers():
if _p.name == "fal":
continue
try:
if _p.is_available():
_img_backend = _p.display_name
break
except Exception:
continue
except Exception:
pass
if _img_backend:
tool_status.append((f"Image Generation ({_img_backend})", True, None))
else:
tool_status.append(("Image Generation", False, "FAL_KEY or OPENAI_API_KEY"))
tool_status.append(("Image Generation", False, "FAL_KEY"))
# TTS — show configured provider
tts_provider = config.get("tts", {}).get("provider", "edge")
@@ -458,6 +433,7 @@ def _print_setup_summary(config: dict, hermes_home):
tool_status.append(("Text-to-Speech (Google Gemini)", True, None))
elif tts_provider == "neutts":
try:
import importlib.util
neutts_ok = importlib.util.find_spec("neutts") is not None
except Exception:
neutts_ok = False
@@ -465,16 +441,6 @@ def _print_setup_summary(config: dict, hermes_home):
tool_status.append(("Text-to-Speech (NeuTTS local)", True, None))
else:
tool_status.append(("Text-to-Speech (NeuTTS — not installed)", False, "run 'hermes setup tts'"))
elif tts_provider == "kittentts":
try:
import importlib.util
kittentts_ok = importlib.util.find_spec("kittentts") is not None
except Exception:
kittentts_ok = False
if kittentts_ok:
tool_status.append(("Text-to-Speech (KittenTTS local)", True, None))
else:
tool_status.append(("Text-to-Speech (KittenTTS — not installed)", False, "run 'hermes setup tts'"))
else:
tool_status.append(("Text-to-Speech (Edge TTS)", True, None))
@@ -805,7 +771,6 @@ def setup_model_provider(config: dict, *, quick: bool = False):
"zai": "Z.AI / GLM",
"kimi-coding": "Kimi / Moonshot",
"kimi-coding-cn": "Kimi / Moonshot (China)",
"stepfun": "StepFun Step Plan",
"minimax": "MiniMax",
"minimax-cn": "MiniMax CN",
"anthropic": "Anthropic",
@@ -838,8 +803,7 @@ def setup_model_provider(config: dict, *, quick: bool = False):
elif _vision_idx == 1: # OpenAI-compatible endpoint
_base_url = prompt(" Base URL (blank for OpenAI)").strip() or "https://api.openai.com/v1"
_api_key_label = " API key"
_is_native_openai = base_url_hostname(_base_url) == "api.openai.com"
if _is_native_openai:
if "api.openai.com" in _base_url.lower():
_api_key_label = " OpenAI API key"
_oai_key = prompt(_api_key_label, password=True).strip()
if _oai_key:
@@ -847,7 +811,7 @@ def setup_model_provider(config: dict, *, quick: bool = False):
# Save vision base URL to config (not .env — only secrets go there)
_vaux = config.setdefault("auxiliary", {}).setdefault("vision", {})
_vaux["base_url"] = _base_url
if _is_native_openai:
if "api.openai.com" in _base_url.lower():
_oai_vision_models = ["gpt-4o", "gpt-4o-mini", "gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano"]
_vm_choices = _oai_vision_models + ["Use default (gpt-4o-mini)"]
_vm_idx = prompt_choice("Select vision model:", _vm_choices, 0)
@@ -883,6 +847,7 @@ def setup_model_provider(config: dict, *, quick: bool = False):
def _check_espeak_ng() -> bool:
"""Check if espeak-ng is installed."""
import shutil
return shutil.which("espeak-ng") is not None or shutil.which("espeak") is not None
@@ -936,31 +901,6 @@ def _install_neutts_deps() -> bool:
return False
def _install_kittentts_deps() -> bool:
"""Install KittenTTS dependencies with user approval. Returns True on success."""
import subprocess
import sys
wheel_url = (
"https://github.com/KittenML/KittenTTS/releases/download/"
"0.8.1/kittentts-0.8.1-py3-none-any.whl"
)
print()
print_info("Installing kittentts Python package (~25-80MB model downloaded on first use)...")
print()
try:
subprocess.run(
[sys.executable, "-m", "pip", "install", "-U", wheel_url, "soundfile", "--quiet"],
check=True, timeout=300,
)
print_success("kittentts installed successfully")
return True
except (subprocess.CalledProcessError, subprocess.TimeoutExpired) as e:
print_error(f"Failed to install kittentts: {e}")
print_info(f"Try manually: python -m pip install -U '{wheel_url}' soundfile")
return False
def _setup_tts_provider(config: dict):
"""Interactive TTS provider selection with install flow for NeuTTS."""
tts_config = config.get("tts", {})
@@ -976,7 +916,6 @@ def _setup_tts_provider(config: dict):
"mistral": "Mistral Voxtral TTS",
"gemini": "Google Gemini TTS",
"neutts": "NeuTTS",
"kittentts": "KittenTTS",
}
current_label = provider_labels.get(current_provider, current_provider)
@@ -1000,10 +939,9 @@ def _setup_tts_provider(config: dict):
"Mistral Voxtral TTS (multilingual, native Opus, needs API key)",
"Google Gemini TTS (30 prebuilt voices, prompt-controllable, needs API key)",
"NeuTTS (local on-device, free, ~300MB model download)",
"KittenTTS (local on-device, free, lightweight ~25-80MB ONNX)",
]
)
providers.extend(["edge", "elevenlabs", "openai", "xai", "minimax", "mistral", "gemini", "neutts", "kittentts"])
providers.extend(["edge", "elevenlabs", "openai", "xai", "minimax", "mistral", "gemini", "neutts"])
choices.append(f"Keep current ({current_label})")
keep_current_idx = len(choices) - 1
idx = prompt_choice("Select TTS provider:", choices, keep_current_idx)
@@ -1024,6 +962,7 @@ def _setup_tts_provider(config: dict):
if selected == "neutts":
# Check if already installed
try:
import importlib.util
already_installed = importlib.util.find_spec("neutts") is not None
except Exception:
already_installed = False
@@ -1122,29 +1061,6 @@ def _setup_tts_provider(config: dict):
print_warning("No API key provided. Falling back to Edge TTS.")
selected = "edge"
elif selected == "kittentts":
# Check if already installed
try:
import importlib.util
already_installed = importlib.util.find_spec("kittentts") is not None
except Exception:
already_installed = False
if already_installed:
print_success("KittenTTS is already installed")
else:
print()
print_info("KittenTTS is lightweight (~25-80MB, CPU-only, no API key required).")
print_info("Voices: Jasper, Bella, Luna, Bruno, Rosie, Hugo, Kiki, Leo")
print()
if prompt_yes_no("Install KittenTTS now?", True):
if not _install_kittentts_deps():
print_warning("KittenTTS installation incomplete. Falling back to Edge TTS.")
selected = "edge"
else:
print_info("Skipping install. Set tts.provider to 'kittentts' after installing manually.")
selected = "edge"
# Save the selection
if "tts" not in config:
config["tts"] = {}
@@ -1166,6 +1082,8 @@ def setup_tts(config: dict):
def setup_terminal_backend(config: dict):
"""Configure the terminal execution backend."""
import platform as _platform
import shutil
print_header("Terminal Backend")
print_info("Choose where Hermes runs shell commands and code.")
print_info("This affects tool execution, file access, and isolation.")
@@ -2440,74 +2358,6 @@ def setup_tools(config: dict, first_install: bool = False):
# =============================================================================
def _model_section_has_credentials(config: dict) -> bool:
"""Return True when any known inference provider has usable credentials.
Sources of truth:
* ``PROVIDER_REGISTRY`` in ``hermes_cli.auth`` lists every supported
provider along with its ``api_key_env_vars``.
* ``active_provider`` in the auth store covers OAuth device-code /
external-OAuth providers (Nous, Codex, Qwen, Gemini CLI, ...).
* The legacy OpenRouter aggregator env vars, which route generic
``OPENAI_API_KEY`` / ``OPENROUTER_API_KEY`` values through OpenRouter.
"""
try:
from hermes_cli.auth import get_active_provider
if get_active_provider():
return True
except Exception:
pass
try:
from hermes_cli.auth import PROVIDER_REGISTRY
except Exception:
PROVIDER_REGISTRY = {} # type: ignore[assignment]
def _has_key(pconfig) -> bool:
for env_var in pconfig.api_key_env_vars:
# CLAUDE_CODE_OAUTH_TOKEN is set by Claude Code itself, not by
# the user — mirrors is_provider_explicitly_configured in auth.py.
if env_var == "CLAUDE_CODE_OAUTH_TOKEN":
continue
if get_env_value(env_var):
return True
return False
# Prefer the provider declared in config.yaml, avoids false positives
# from stray env vars (GH_TOKEN, etc.) when the user has already picked
# a different provider.
model_cfg = config.get("model") if isinstance(config, dict) else None
if isinstance(model_cfg, dict):
provider_id = (model_cfg.get("provider") or "").strip().lower()
if provider_id in PROVIDER_REGISTRY:
if _has_key(PROVIDER_REGISTRY[provider_id]):
return True
if provider_id == "openrouter":
for env_var in ("OPENROUTER_API_KEY", "OPENAI_API_KEY"):
if get_env_value(env_var):
return True
# OpenRouter aggregator fallback (no provider declared in config).
for env_var in ("OPENROUTER_API_KEY", "OPENAI_API_KEY"):
if get_env_value(env_var):
return True
for pid, pconfig in PROVIDER_REGISTRY.items():
# Skip copilot in auto-detect: GH_TOKEN / GITHUB_TOKEN are
# commonly set for git tooling. Mirrors resolve_provider in auth.py.
if pid == "copilot":
continue
if _has_key(pconfig):
return True
return False
def _gateway_platform_short_label(label: str) -> str:
"""Strip trailing parenthetical qualifiers from a gateway platform label."""
base = label.split("(", 1)[0].strip()
return base or label
def _get_section_config_summary(config: dict, section_key: str) -> Optional[str]:
"""Return a short summary if a setup section is already configured, else None.
@@ -2516,7 +2366,20 @@ def _get_section_config_summary(config: dict, section_key: str) -> Optional[str]
so that test patches on ``setup_mod.get_env_value`` take effect.
"""
if section_key == "model":
if not _model_section_has_credentials(config):
has_key = bool(
get_env_value("OPENROUTER_API_KEY")
or get_env_value("OPENAI_API_KEY")
or get_env_value("ANTHROPIC_API_KEY")
)
if not has_key:
# Check for OAuth providers
try:
from hermes_cli.auth import get_active_provider
if get_active_provider():
has_key = True
except Exception:
pass
if not has_key:
return None
model = config.get("model")
if isinstance(model, str) and model.strip():
@@ -2534,11 +2397,37 @@ def _get_section_config_summary(config: dict, section_key: str) -> Optional[str]
return f"max turns: {max_turns}"
elif section_key == "gateway":
platforms = [
_gateway_platform_short_label(label)
for label, env_var, _ in _GATEWAY_PLATFORMS
if get_env_value(env_var)
]
platforms = []
if get_env_value("TELEGRAM_BOT_TOKEN"):
platforms.append("Telegram")
if get_env_value("DISCORD_BOT_TOKEN"):
platforms.append("Discord")
if get_env_value("SLACK_BOT_TOKEN"):
platforms.append("Slack")
if get_env_value("SIGNAL_ACCOUNT"):
platforms.append("Signal")
if get_env_value("EMAIL_ADDRESS"):
platforms.append("Email")
if get_env_value("TWILIO_ACCOUNT_SID"):
platforms.append("SMS")
if get_env_value("MATRIX_ACCESS_TOKEN") or get_env_value("MATRIX_PASSWORD"):
platforms.append("Matrix")
if get_env_value("MATTERMOST_TOKEN"):
platforms.append("Mattermost")
if get_env_value("WHATSAPP_PHONE_NUMBER_ID"):
platforms.append("WhatsApp")
if get_env_value("DINGTALK_CLIENT_ID"):
platforms.append("DingTalk")
if get_env_value("FEISHU_APP_ID"):
platforms.append("Feishu")
if get_env_value("WECOM_BOT_ID"):
platforms.append("WeCom")
if get_env_value("WEIXIN_ACCOUNT_ID"):
platforms.append("Weixin")
if get_env_value("BLUEBUBBLES_SERVER_URL"):
platforms.append("BlueBubbles")
if get_env_value("WEBHOOK_ENABLED"):
platforms.append("Webhooks")
if platforms:
return ", ".join(platforms)
return None # No platforms configured — section must run
-2
View File
@@ -122,7 +122,6 @@ def show_status(args):
"OpenAI": "OPENAI_API_KEY",
"Z.AI/GLM": "GLM_API_KEY",
"Kimi": "KIMI_API_KEY",
"StepFun Step Plan": "STEPFUN_API_KEY",
"MiniMax": "MINIMAX_API_KEY",
"MiniMax-CN": "MINIMAX_CN_API_KEY",
"Firecrawl": "FIRECRAWL_API_KEY",
@@ -253,7 +252,6 @@ def show_status(args):
apikey_providers = {
"Z.AI / GLM": ("GLM_API_KEY", "ZAI_API_KEY", "Z_AI_API_KEY"),
"Kimi / Moonshot": ("KIMI_API_KEY",),
"StepFun Step Plan": ("STEPFUN_API_KEY",),
"MiniMax": ("MINIMAX_API_KEY",),
"MiniMax (China)": ("MINIMAX_CN_API_KEY",),
}
+1 -1
View File
@@ -127,7 +127,7 @@ TIPS = [
# --- Tools & Capabilities ---
"execute_code runs Python scripts that call Hermes tools programmatically — results stay out of context.",
"delegate_task spawns up to 3 concurrent sub-agents by default (configurable via delegation.max_concurrent_children) with isolated contexts for parallel work.",
"delegate_task spawns up to 3 concurrent sub-agents with isolated contexts for parallel work.",
"web_extract works on PDF URLs — pass any PDF link and it converts to markdown.",
"search_files is ripgrep-backed and faster than grep — use it instead of terminal grep.",
"patch uses 9 fuzzy matching strategies so minor whitespace differences won't break edits.",
+5 -229
View File
@@ -24,8 +24,7 @@ from hermes_cli.nous_subscription import (
apply_nous_managed_defaults,
get_nous_subscription_features,
)
from tools.tool_backend_helpers import fal_key_is_configured, managed_nous_tools_enabled
from utils import base_url_hostname
from tools.tool_backend_helpers import managed_nous_tools_enabled
logger = logging.getLogger(__name__)
@@ -182,14 +181,6 @@ TOOL_CATEGORIES = {
],
"tts_provider": "gemini",
},
{
"name": "KittenTTS",
"badge": "local · free",
"tag": "Lightweight local ONNX TTS (~25MB), no API key",
"env_vars": [],
"tts_provider": "kittentts",
"post_setup": "kittentts",
},
],
},
"web": {
@@ -431,36 +422,6 @@ def _run_post_setup(post_setup_key: str):
_print_warning(" Node.js not found. Install Camofox via Docker:")
_print_info(" docker run -p 9377:9377 -e CAMOFOX_PORT=9377 jo-inc/camofox-browser")
elif post_setup_key == "kittentts":
try:
__import__("kittentts")
_print_success(" kittentts is already installed")
return
except ImportError:
pass
import subprocess
_print_info(" Installing kittentts (~25-80MB model, CPU-only)...")
wheel_url = (
"https://github.com/KittenML/KittenTTS/releases/download/"
"0.8.1/kittentts-0.8.1-py3-none-any.whl"
)
try:
result = subprocess.run(
[sys.executable, "-m", "pip", "install", "-U", wheel_url, "soundfile", "--quiet"],
capture_output=True, text=True, timeout=300,
)
if result.returncode == 0:
_print_success(" kittentts installed")
_print_info(" Voices: Jasper, Bella, Luna, Bruno, Rosie, Hugo, Kiki, Leo")
_print_info(" Models: KittenML/kitten-tts-nano-0.8-int8 (25MB), micro (41MB), mini (80MB)")
else:
_print_warning(" kittentts install failed:")
_print_info(f" {result.stderr.strip()[:300]}")
_print_info(f" Run manually: python -m pip install -U '{wheel_url}' soundfile")
except subprocess.TimeoutExpired:
_print_warning(" kittentts install timed out (>5min)")
_print_info(f" Run manually: python -m pip install -U '{wheel_url}' soundfile")
elif post_setup_key == "rl_training":
try:
__import__("tinker_atropos")
@@ -585,10 +546,6 @@ def _get_platform_tools(
ts_tools = set(resolve_toolset(ts_key))
if ts_tools and ts_tools.issubset(all_tool_names):
enabled_toolsets.add(ts_key)
default_off = set(_DEFAULT_OFF_TOOLSETS)
if platform in default_off:
default_off.remove(platform)
enabled_toolsets -= default_off
# Plugin toolsets: enabled by default unless explicitly disabled.
# A plugin toolset is "known" for a platform once `hermes tools`
@@ -847,51 +804,6 @@ def _configure_toolset(ts_key: str, config: dict):
_configure_simple_requirements(ts_key)
def _plugin_image_gen_providers() -> list[dict]:
"""Build picker-row dicts from plugin-registered image gen providers.
Each returned dict looks like a regular ``TOOL_CATEGORIES`` provider
row but carries an ``image_gen_plugin_name`` marker so downstream
code (config writing, model picker) knows to route through the
plugin registry instead of the in-tree FAL backend.
FAL is skipped it's already exposed by the hardcoded
``TOOL_CATEGORIES["image_gen"]`` entries. When FAL gets ported to
a plugin in a follow-up PR, the hardcoded entries go away and this
function surfaces it alongside OpenAI automatically.
"""
try:
from agent.image_gen_registry import list_providers
from hermes_cli.plugins import _ensure_plugins_discovered
_ensure_plugins_discovered()
providers = list_providers()
except Exception:
return []
rows: list[dict] = []
for provider in providers:
if getattr(provider, "name", None) == "fal":
# FAL has its own hardcoded rows today.
continue
try:
schema = provider.get_setup_schema()
except Exception:
continue
if not isinstance(schema, dict):
continue
rows.append(
{
"name": schema.get("name", provider.display_name),
"badge": schema.get("badge", ""),
"tag": schema.get("tag", ""),
"env_vars": schema.get("env_vars", []),
"image_gen_plugin_name": provider.name,
}
)
return rows
def _visible_providers(cat: dict, config: dict) -> list[dict]:
"""Return provider entries visible for the current auth/config state."""
features = get_nous_subscription_features(config)
@@ -902,12 +814,6 @@ def _visible_providers(cat: dict, config: dict) -> list[dict]:
if provider.get("requires_nous_auth") and not features.nous_auth_present:
continue
visible.append(provider)
# Inject plugin-registered image_gen backends (OpenAI today, more
# later) so the picker lists them alongside FAL / Nous Subscription.
if cat.get("name") == "Image Generation":
visible.extend(_plugin_image_gen_providers())
return visible
@@ -927,24 +833,7 @@ def _toolset_needs_configuration_prompt(ts_key: str, config: dict) -> bool:
browser_cfg = config.get("browser", {})
return not isinstance(browser_cfg, dict) or "cloud_provider" not in browser_cfg
if ts_key == "image_gen":
# Satisfied when the in-tree FAL backend is configured OR any
# plugin-registered image gen provider is available.
if fal_key_is_configured():
return False
try:
from agent.image_gen_registry import list_providers
from hermes_cli.plugins import _ensure_plugins_discovered
_ensure_plugins_discovered()
for provider in list_providers():
try:
if provider.is_available():
return False
except Exception:
continue
except Exception:
pass
return True
return not get_env_value("FAL_KEY")
return not _toolset_has_keys(ts_key, config)
@@ -1163,88 +1052,6 @@ def _configure_imagegen_model(backend_name: str, config: dict) -> None:
_print_success(f" Model set to: {chosen}")
def _plugin_image_gen_catalog(plugin_name: str):
"""Return ``(catalog_dict, default_model_id)`` for a plugin provider.
``catalog_dict`` is shaped like the legacy ``FAL_MODELS`` table
``{model_id: {"display", "speed", "strengths", "price", ...}}``
so the existing picker code paths work without change. Returns
``({}, None)`` if the provider isn't registered or has no models.
"""
try:
from agent.image_gen_registry import get_provider
from hermes_cli.plugins import _ensure_plugins_discovered
_ensure_plugins_discovered()
provider = get_provider(plugin_name)
except Exception:
return {}, None
if provider is None:
return {}, None
try:
models = provider.list_models() or []
default = provider.default_model()
except Exception:
return {}, None
catalog = {m["id"]: m for m in models if isinstance(m, dict) and "id" in m}
return catalog, default
def _configure_imagegen_model_for_plugin(plugin_name: str, config: dict) -> None:
"""Prompt the user to pick a model for a plugin-registered backend.
Writes selection to ``image_gen.model``. Mirrors
:func:`_configure_imagegen_model` but sources its catalog from the
plugin registry instead of :data:`IMAGEGEN_BACKENDS`.
"""
catalog, default_model = _plugin_image_gen_catalog(plugin_name)
if not catalog:
return
cur_cfg = config.setdefault("image_gen", {})
if not isinstance(cur_cfg, dict):
cur_cfg = {}
config["image_gen"] = cur_cfg
current_model = cur_cfg.get("model") or default_model
if current_model not in catalog:
current_model = default_model
model_ids = list(catalog.keys())
ordered = [current_model] + [m for m in model_ids if m != current_model]
widths = {
"model": max(len(m) for m in model_ids),
"speed": max((len(catalog[m].get("speed", "")) for m in model_ids), default=6),
"strengths": max((len(catalog[m].get("strengths", "")) for m in model_ids), default=0),
}
print()
header = (
f" {'Model':<{widths['model']}} "
f"{'Speed':<{widths['speed']}} "
f"{'Strengths':<{widths['strengths']}} "
f"Price"
)
print(color(header, Colors.CYAN))
rows = []
for mid in ordered:
row = _format_imagegen_model_row(mid, catalog[mid], widths)
if mid == current_model:
row += " ← currently in use"
rows.append(row)
idx = _prompt_choice(
f" Choose {plugin_name} model:",
rows,
default=0,
)
chosen = ordered[idx]
cur_cfg["model"] = chosen
_print_success(f" Model set to: {chosen}")
def _configure_provider(provider: dict, config: dict):
"""Configure a single provider - prompt for API keys and set config."""
env_vars = provider.get("env_vars", [])
@@ -1301,28 +1108,10 @@ def _configure_provider(provider: dict, config: dict):
_print_success(f" {provider['name']} - no configuration needed!")
if managed_feature:
_print_info(" Requests for this tool will be billed to your Nous subscription.")
# Plugin-registered image_gen provider: write image_gen.provider
# and route model selection to the plugin's own catalog.
plugin_name = provider.get("image_gen_plugin_name")
if plugin_name:
img_cfg = config.setdefault("image_gen", {})
if not isinstance(img_cfg, dict):
img_cfg = {}
config["image_gen"] = img_cfg
img_cfg["provider"] = plugin_name
_print_success(f" image_gen.provider set to: {plugin_name}")
_configure_imagegen_model_for_plugin(plugin_name, config)
return
# Imagegen backends prompt for model selection after backend pick.
backend = provider.get("imagegen_backend")
if backend:
_configure_imagegen_model(backend, config)
# In-tree FAL is the only non-plugin backend today. Keep
# image_gen.provider clear so the dispatch shim falls through
# to the legacy FAL path.
img_cfg = config.setdefault("image_gen", {})
if isinstance(img_cfg, dict) and img_cfg.get("provider") not in (None, "", "fal"):
img_cfg["provider"] = "fal"
return
# Prompt for each required env var
@@ -1357,23 +1146,10 @@ def _configure_provider(provider: dict, config: dict):
if all_configured:
_print_success(f" {provider['name']} configured!")
plugin_name = provider.get("image_gen_plugin_name")
if plugin_name:
img_cfg = config.setdefault("image_gen", {})
if not isinstance(img_cfg, dict):
img_cfg = {}
config["image_gen"] = img_cfg
img_cfg["provider"] = plugin_name
_print_success(f" image_gen.provider set to: {plugin_name}")
_configure_imagegen_model_for_plugin(plugin_name, config)
return
# Imagegen backends prompt for model selection after env vars are in.
backend = provider.get("imagegen_backend")
if backend:
_configure_imagegen_model(backend, config)
img_cfg = config.setdefault("image_gen", {})
if isinstance(img_cfg, dict) and img_cfg.get("provider") not in (None, "", "fal"):
img_cfg["provider"] = "fal"
def _configure_simple_requirements(ts_key: str):
@@ -1399,17 +1175,17 @@ def _configure_simple_requirements(ts_key: str):
_print_warning(" Skipped")
elif idx == 1:
base_url = _prompt(" OPENAI_BASE_URL (blank for OpenAI)").strip() or "https://api.openai.com/v1"
is_native_openai = base_url_hostname(base_url) == "api.openai.com"
key_label = " OPENAI_API_KEY" if is_native_openai else " API key"
key_label = " OPENAI_API_KEY" if "api.openai.com" in base_url.lower() else " API key"
api_key = _prompt(key_label, password=True)
if api_key and api_key.strip():
save_env_value("OPENAI_API_KEY", api_key.strip())
# Save vision base URL to config (not .env — only secrets go there)
from hermes_cli.config import load_config, save_config
_cfg = load_config()
_aux = _cfg.setdefault("auxiliary", {}).setdefault("vision", {})
_aux["base_url"] = base_url
save_config(_cfg)
if is_native_openai:
if "api.openai.com" in base_url.lower():
save_env_value("AUXILIARY_VISION_MODEL", "gpt-4o-mini")
_print_success(" Saved")
else:
+7 -248
View File
@@ -16,7 +16,6 @@ import json
import logging
import os
import secrets
import subprocess
import sys
import threading
import time
@@ -115,91 +114,6 @@ def _require_token(request: Request) -> None:
raise HTTPException(status_code=401, detail="Unauthorized")
# Accepted Host header values for loopback binds. DNS rebinding attacks
# point a victim browser at an attacker-controlled hostname (evil.test)
# which resolves to 127.0.0.1 after a TTL flip — bypassing same-origin
# checks because the browser now considers evil.test and our dashboard
# "same origin". Validating the Host header at the app layer rejects any
# request whose Host isn't one we bound for. See GHSA-ppp5-vxwm-4cf7.
_LOOPBACK_HOST_VALUES: frozenset = frozenset({
"localhost", "127.0.0.1", "::1",
})
def _is_accepted_host(host_header: str, bound_host: str) -> bool:
"""True if the Host header targets the interface we bound to.
Accepts:
- Exact bound host (with or without port suffix)
- Loopback aliases when bound to loopback
- Any host when bound to 0.0.0.0 (explicit opt-in to non-loopback,
no protection possible at this layer)
"""
if not host_header:
return False
# Strip port suffix. IPv6 addresses use bracket notation:
# [::1] — no port
# [::1]:9119 — with port
# Plain hosts/v4:
# localhost:9119
# 127.0.0.1:9119
h = host_header.strip()
if h.startswith("["):
# IPv6 bracketed — port (if any) follows "]:"
close = h.find("]")
if close != -1:
host_only = h[1:close] # strip brackets
else:
host_only = h.strip("[]")
else:
host_only = h.rsplit(":", 1)[0] if ":" in h else h
host_only = host_only.lower()
# 0.0.0.0 bind means operator explicitly opted into all-interfaces
# (requires --insecure per web_server.start_server). No Host-layer
# defence can protect that mode; rely on operator network controls.
if bound_host in ("0.0.0.0", "::"):
return True
# Loopback bind: accept the loopback names
bound_lc = bound_host.lower()
if bound_lc in _LOOPBACK_HOST_VALUES:
return host_only in _LOOPBACK_HOST_VALUES
# Explicit non-loopback bind: require exact host match
return host_only == bound_lc
@app.middleware("http")
async def host_header_middleware(request: Request, call_next):
"""Reject requests whose Host header doesn't match the bound interface.
Defends against DNS rebinding: a victim browser on a localhost
dashboard is tricked into fetching from an attacker hostname that
TTL-flips to 127.0.0.1. CORS and same-origin checks don't help —
the browser now treats the attacker origin as same-origin with the
dashboard. Host-header validation at the app layer catches it.
See GHSA-ppp5-vxwm-4cf7.
"""
# Store the bound host on app.state so this middleware can read it —
# set by start_server() at listen time.
bound_host = getattr(app.state, "bound_host", None)
if bound_host:
host_header = request.headers.get("host", "")
if not _is_accepted_host(host_header, bound_host):
return JSONResponse(
status_code=400,
content={
"detail": (
"Invalid Host header. Dashboard requests must use "
"the hostname the server was bound to."
),
},
)
return await call_next(request)
@app.middleware("http")
async def auth_middleware(request: Request, call_next):
"""Require the session token on all /api/ routes except the public list."""
@@ -562,138 +476,6 @@ async def get_status():
}
# ---------------------------------------------------------------------------
# Gateway + update actions (invoked from the Status page).
#
# Both commands are spawned as detached subprocesses so the HTTP request
# returns immediately. stdin is closed (``DEVNULL``) so any stray ``input()``
# calls fail fast with EOF rather than hanging forever. stdout/stderr are
# streamed to a per-action log file under ``~/.hermes/logs/<action>.log`` so
# the dashboard can tail them back to the user.
# ---------------------------------------------------------------------------
_ACTION_LOG_DIR: Path = get_hermes_home() / "logs"
# Short ``name`` (from the URL) → absolute log file path.
_ACTION_LOG_FILES: Dict[str, str] = {
"gateway-restart": "gateway-restart.log",
"hermes-update": "hermes-update.log",
}
# ``name`` → most recently spawned Popen handle. Used so ``status`` can
# report liveness and exit code without shelling out to ``ps``.
_ACTION_PROCS: Dict[str, subprocess.Popen] = {}
def _spawn_hermes_action(subcommand: List[str], name: str) -> subprocess.Popen:
"""Spawn ``hermes <subcommand>`` detached and record the Popen handle.
Uses the running interpreter's ``hermes_cli.main`` module so the action
inherits the same venv/PYTHONPATH the web server is using.
"""
log_file_name = _ACTION_LOG_FILES[name]
_ACTION_LOG_DIR.mkdir(parents=True, exist_ok=True)
log_path = _ACTION_LOG_DIR / log_file_name
log_file = open(log_path, "ab", buffering=0)
log_file.write(
f"\n=== {name} started {time.strftime('%Y-%m-%d %H:%M:%S')} ===\n".encode()
)
cmd = [sys.executable, "-m", "hermes_cli.main", *subcommand]
popen_kwargs: Dict[str, Any] = {
"cwd": str(PROJECT_ROOT),
"stdin": subprocess.DEVNULL,
"stdout": log_file,
"stderr": subprocess.STDOUT,
"env": {**os.environ, "HERMES_NONINTERACTIVE": "1"},
}
if sys.platform == "win32":
popen_kwargs["creationflags"] = (
subprocess.CREATE_NEW_PROCESS_GROUP # type: ignore[attr-defined]
| getattr(subprocess, "DETACHED_PROCESS", 0)
)
else:
popen_kwargs["start_new_session"] = True
proc = subprocess.Popen(cmd, **popen_kwargs)
_ACTION_PROCS[name] = proc
return proc
def _tail_lines(path: Path, n: int) -> List[str]:
"""Return the last ``n`` lines of ``path``. Reads the whole file — fine
for our small per-action logs. Binary-decoded with ``errors='replace'``
so log corruption doesn't 500 the endpoint."""
if not path.exists():
return []
try:
text = path.read_text(errors="replace")
except OSError:
return []
lines = text.splitlines()
return lines[-n:] if n > 0 else lines
@app.post("/api/gateway/restart")
async def restart_gateway():
"""Kick off a ``hermes gateway restart`` in the background."""
try:
proc = _spawn_hermes_action(["gateway", "restart"], "gateway-restart")
except Exception as exc:
_log.exception("Failed to spawn gateway restart")
raise HTTPException(status_code=500, detail=f"Failed to restart gateway: {exc}")
return {
"ok": True,
"pid": proc.pid,
"name": "gateway-restart",
}
@app.post("/api/hermes/update")
async def update_hermes():
"""Kick off ``hermes update`` in the background."""
try:
proc = _spawn_hermes_action(["update"], "hermes-update")
except Exception as exc:
_log.exception("Failed to spawn hermes update")
raise HTTPException(status_code=500, detail=f"Failed to start update: {exc}")
return {
"ok": True,
"pid": proc.pid,
"name": "hermes-update",
}
@app.get("/api/actions/{name}/status")
async def get_action_status(name: str, lines: int = 200):
"""Tail an action log and report whether the process is still running."""
log_file_name = _ACTION_LOG_FILES.get(name)
if log_file_name is None:
raise HTTPException(status_code=404, detail=f"Unknown action: {name}")
log_path = _ACTION_LOG_DIR / log_file_name
tail = _tail_lines(log_path, min(max(lines, 1), 2000))
proc = _ACTION_PROCS.get(name)
if proc is None:
running = False
exit_code: Optional[int] = None
pid: Optional[int] = None
else:
exit_code = proc.poll()
running = exit_code is None
pid = proc.pid
return {
"name": name,
"running": running,
"exit_code": exit_code,
"pid": pid,
"lines": tail,
}
@app.get("/api/sessions")
async def get_sessions(limit: int = 20, offset: int = 0):
try:
@@ -2176,8 +1958,6 @@ async def update_config_raw(body: RawConfigUpdate):
@app.get("/api/analytics/usage")
async def get_usage_analytics(days: int = 30):
from hermes_state import SessionDB
from agent.insights import InsightsEngine
db = SessionDB()
try:
cutoff = time.time() - (days * 86400)
@@ -2189,8 +1969,7 @@ async def get_usage_analytics(days: int = 30):
SUM(reasoning_tokens) as reasoning_tokens,
COALESCE(SUM(estimated_cost_usd), 0) as estimated_cost,
COALESCE(SUM(actual_cost_usd), 0) as actual_cost,
COUNT(*) as sessions,
SUM(COALESCE(api_call_count, 0)) as api_calls
COUNT(*) as sessions
FROM sessions WHERE started_at > ?
GROUP BY day ORDER BY day
""", (cutoff,))
@@ -2201,8 +1980,7 @@ async def get_usage_analytics(days: int = 30):
SUM(input_tokens) as input_tokens,
SUM(output_tokens) as output_tokens,
COALESCE(SUM(estimated_cost_usd), 0) as estimated_cost,
COUNT(*) as sessions,
SUM(COALESCE(api_call_count, 0)) as api_calls
COUNT(*) as sessions
FROM sessions WHERE started_at > ? AND model IS NOT NULL
GROUP BY model ORDER BY SUM(input_tokens) + SUM(output_tokens) DESC
""", (cutoff,))
@@ -2215,29 +1993,12 @@ async def get_usage_analytics(days: int = 30):
SUM(reasoning_tokens) as total_reasoning,
COALESCE(SUM(estimated_cost_usd), 0) as total_estimated_cost,
COALESCE(SUM(actual_cost_usd), 0) as total_actual_cost,
COUNT(*) as total_sessions,
SUM(COALESCE(api_call_count, 0)) as total_api_calls
COUNT(*) as total_sessions
FROM sessions WHERE started_at > ?
""", (cutoff,))
totals = dict(cur3.fetchone())
insights_report = InsightsEngine(db).generate(days=days)
skills = insights_report.get("skills", {
"summary": {
"total_skill_loads": 0,
"total_skill_edits": 0,
"total_skill_actions": 0,
"distinct_skills_used": 0,
},
"top_skills": [],
})
return {
"daily": daily,
"by_model": by_model,
"totals": totals,
"period_days": days,
"skills": skills,
}
return {"daily": daily, "by_model": by_model, "totals": totals, "period_days": days}
finally:
db.close()
@@ -2544,15 +2305,13 @@ def start_server(
"authentication. Only use on trusted networks.", host,
)
# Record the bound host so host_header_middleware can validate incoming
# Host headers against it. Defends against DNS rebinding (GHSA-ppp5-vxwm-4cf7).
app.state.bound_host = host
if open_browser:
import threading
import webbrowser
def _open():
time.sleep(1.0)
import time as _t
_t.sleep(1.0)
webbrowser.open(f"http://{host}:{port}")
threading.Thread(target=_open, daemon=True).start()
+10 -185
View File
@@ -31,7 +31,7 @@ T = TypeVar("T")
DEFAULT_DB_PATH = get_hermes_home() / "state.db"
SCHEMA_VERSION = 8
SCHEMA_VERSION = 6
SCHEMA_SQL = """
CREATE TABLE IF NOT EXISTS schema_version (
@@ -65,7 +65,6 @@ CREATE TABLE IF NOT EXISTS sessions (
cost_source TEXT,
pricing_version TEXT,
title TEXT,
api_call_count INTEGER DEFAULT 0,
FOREIGN KEY (parent_session_id) REFERENCES sessions(id)
);
@@ -81,16 +80,10 @@ CREATE TABLE IF NOT EXISTS messages (
token_count INTEGER,
finish_reason TEXT,
reasoning TEXT,
reasoning_content TEXT,
reasoning_details TEXT,
codex_reasoning_items TEXT
);
CREATE TABLE IF NOT EXISTS state_meta (
key TEXT PRIMARY KEY,
value TEXT
);
CREATE INDEX IF NOT EXISTS idx_sessions_source ON sessions(source);
CREATE INDEX IF NOT EXISTS idx_sessions_parent ON sessions(parent_session_id);
CREATE INDEX IF NOT EXISTS idx_sessions_started ON sessions(started_at DESC);
@@ -336,26 +329,6 @@ class SessionDB:
except sqlite3.OperationalError:
pass # Column already exists
cursor.execute("UPDATE schema_version SET version = 6")
if current_version < 7:
# v7: preserve provider-native reasoning_content separately from
# normalized reasoning text. Kimi/Moonshot replay can require
# this field on assistant tool-call messages when thinking is on.
try:
cursor.execute('ALTER TABLE messages ADD COLUMN "reasoning_content" TEXT')
except sqlite3.OperationalError:
pass # Column already exists
cursor.execute("UPDATE schema_version SET version = 7")
if current_version < 8:
# v8: add api_call_count column to sessions — tracks the number
# of individual LLM API calls made within a session (as opposed
# to the session count itself).
try:
cursor.execute(
'ALTER TABLE sessions ADD COLUMN "api_call_count" INTEGER DEFAULT 0'
)
except sqlite3.OperationalError:
pass # Column already exists
cursor.execute("UPDATE schema_version SET version = 8")
# Unique title index — always ensure it exists (safe to run after migrations
# since the title column is guaranteed to exist at this point)
@@ -462,7 +435,6 @@ class SessionDB:
billing_provider: Optional[str] = None,
billing_base_url: Optional[str] = None,
billing_mode: Optional[str] = None,
api_call_count: int = 0,
absolute: bool = False,
) -> None:
"""Update token counters and backfill model if not already set.
@@ -492,8 +464,7 @@ class SessionDB:
billing_provider = COALESCE(billing_provider, ?),
billing_base_url = COALESCE(billing_base_url, ?),
billing_mode = COALESCE(billing_mode, ?),
model = COALESCE(model, ?),
api_call_count = ?
model = COALESCE(model, ?)
WHERE id = ?"""
else:
sql = """UPDATE sessions SET
@@ -513,8 +484,7 @@ class SessionDB:
billing_provider = COALESCE(billing_provider, ?),
billing_base_url = COALESCE(billing_base_url, ?),
billing_mode = COALESCE(billing_mode, ?),
model = COALESCE(model, ?),
api_call_count = COALESCE(api_call_count, 0) + ?
model = COALESCE(model, ?)
WHERE id = ?"""
params = (
input_tokens,
@@ -532,7 +502,6 @@ class SessionDB:
billing_base_url,
billing_mode,
model,
api_call_count,
session_id,
)
def _do(conn):
@@ -953,7 +922,6 @@ class SessionDB:
token_count: int = None,
finish_reason: str = None,
reasoning: str = None,
reasoning_content: str = None,
reasoning_details: Any = None,
codex_reasoning_items: Any = None,
) -> int:
@@ -983,8 +951,8 @@ class SessionDB:
cursor = conn.execute(
"""INSERT INTO messages (session_id, role, content, tool_call_id,
tool_calls, tool_name, timestamp, token_count, finish_reason,
reasoning, reasoning_content, reasoning_details, codex_reasoning_items)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
reasoning, reasoning_details, codex_reasoning_items)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
(
session_id,
role,
@@ -996,7 +964,6 @@ class SessionDB:
token_count,
finish_reason,
reasoning,
reasoning_content,
reasoning_details_json,
codex_items_json,
),
@@ -1047,7 +1014,7 @@ class SessionDB:
with self._lock:
cursor = self._conn.execute(
"SELECT role, content, tool_call_id, tool_calls, tool_name, "
"reasoning, reasoning_content, reasoning_details, codex_reasoning_items "
"reasoning, reasoning_details, codex_reasoning_items "
"FROM messages WHERE session_id = ? ORDER BY timestamp, id",
(session_id,),
)
@@ -1071,8 +1038,6 @@ class SessionDB:
if row["role"] == "assistant":
if row["reasoning"]:
msg["reasoning"] = row["reasoning"]
if row["reasoning_content"] is not None:
msg["reasoning_content"] = row["reasoning_content"]
if row["reasoning_details"]:
try:
msg["reasoning_details"] = json.loads(row["reasoning_details"])
@@ -1284,37 +1249,10 @@ class SessionDB:
try:
with self._lock:
ctx_cursor = self._conn.execute(
"""WITH target AS (
SELECT session_id, timestamp, id
FROM messages
WHERE id = ?
)
SELECT role, content
FROM (
SELECT m.id, m.timestamp, m.role, m.content
FROM messages m
JOIN target t ON t.session_id = m.session_id
WHERE (m.timestamp < t.timestamp)
OR (m.timestamp = t.timestamp AND m.id < t.id)
ORDER BY m.timestamp DESC, m.id DESC
LIMIT 1
)
UNION ALL
SELECT role, content
FROM messages
WHERE id = ?
UNION ALL
SELECT role, content
FROM (
SELECT m.id, m.timestamp, m.role, m.content
FROM messages m
JOIN target t ON t.session_id = m.session_id
WHERE (m.timestamp > t.timestamp)
OR (m.timestamp = t.timestamp AND m.id > t.id)
ORDER BY m.timestamp ASC, m.id ASC
LIMIT 1
)""",
(match["id"], match["id"]),
"""SELECT role, content FROM messages
WHERE session_id = ? AND id >= ? - 1 AND id <= ? + 1
ORDER BY id""",
(match["session_id"], match["id"], match["id"]),
)
context_msgs = [
{"role": r["role"], "content": (r["content"] or "")[:200]}
@@ -1476,116 +1414,3 @@ class SessionDB:
return len(session_ids)
return self._execute_write(_do)
# ── Meta key/value (for scheduler bookkeeping) ──
def get_meta(self, key: str) -> Optional[str]:
"""Read a value from the state_meta key/value store."""
with self._lock:
row = self._conn.execute(
"SELECT value FROM state_meta WHERE key = ?", (key,)
).fetchone()
if row is None:
return None
return row["value"] if isinstance(row, sqlite3.Row) else row[0]
def set_meta(self, key: str, value: str) -> None:
"""Write a value to the state_meta key/value store."""
def _do(conn):
conn.execute(
"INSERT INTO state_meta (key, value) VALUES (?, ?) "
"ON CONFLICT(key) DO UPDATE SET value = excluded.value",
(key, value),
)
self._execute_write(_do)
# ── Space reclamation ──
def vacuum(self) -> None:
"""Run VACUUM to reclaim disk space after large deletes.
SQLite does not shrink the database file when rows are deleted
freed pages just get reused on the next insert. After a prune that
removed hundreds of sessions, the file stays bloated unless we
explicitly VACUUM.
VACUUM rewrites the entire DB, so it's expensive (seconds per
100MB) and cannot run inside a transaction. It also acquires an
exclusive lock, so callers must ensure no other writers are
active. Safe to call at startup before the gateway/CLI starts
serving traffic.
"""
# VACUUM cannot be executed inside a transaction.
with self._lock:
# Best-effort WAL checkpoint first, then VACUUM.
try:
self._conn.execute("PRAGMA wal_checkpoint(TRUNCATE)")
except Exception:
pass
self._conn.execute("VACUUM")
def maybe_auto_prune_and_vacuum(
self,
retention_days: int = 90,
min_interval_hours: int = 24,
vacuum: bool = True,
) -> Dict[str, Any]:
"""Idempotent auto-maintenance: prune old sessions + optional VACUUM.
Records the last run timestamp in state_meta so subsequent calls
within ``min_interval_hours`` no-op. Designed to be called once at
startup from long-lived entrypoints (CLI, gateway, cron scheduler).
Never raises. On any failure, logs a warning and returns a dict
with ``"error"`` set.
Returns a dict with keys:
- ``"skipped"`` (bool) true if within min_interval_hours of last run
- ``"pruned"`` (int) number of sessions deleted
- ``"vacuumed"`` (bool) true if VACUUM ran
- ``"error"`` (str, optional) present only on failure
"""
result: Dict[str, Any] = {"skipped": False, "pruned": 0, "vacuumed": False}
try:
# Skip if another process/call did maintenance recently.
last_raw = self.get_meta("last_auto_prune")
now = time.time()
if last_raw:
try:
last_ts = float(last_raw)
if now - last_ts < min_interval_hours * 3600:
result["skipped"] = True
return result
except (TypeError, ValueError):
pass # corrupt meta; treat as no prior run
pruned = self.prune_sessions(older_than_days=retention_days)
result["pruned"] = pruned
# Only VACUUM if we actually freed rows — VACUUM on a tight DB
# is wasted I/O. Threshold keeps small DBs from paying the cost.
if vacuum and pruned > 0:
try:
self.vacuum()
result["vacuumed"] = True
except Exception as exc:
logger.warning("state.db VACUUM failed: %s", exc)
# Record the attempt even if pruned == 0, so we don't retry
# every startup within the min_interval_hours window.
self.set_meta("last_auto_prune", str(now))
if pruned > 0:
logger.info(
"state.db auto-maintenance: pruned %d session(s) older than %d days%s",
pruned,
retention_days,
" + VACUUM" if result["vacuumed"] else "",
)
except Exception as exc:
# Maintenance must never block startup. Log and return error marker.
logger.warning("state.db auto-maintenance failed: %s", exc)
result["error"] = str(exc)
return result
+3 -10
View File
@@ -47,19 +47,12 @@ def _effective_temperature_for_model(
model: str,
base_url: Optional[str] = None,
) -> Optional[float]:
"""Return a fixed temperature for models with strict sampling contracts.
Returns ``None`` when the model manages temperature server-side (Kimi);
callers must omit the ``temperature`` kwarg entirely in that case.
"""
"""Return a fixed temperature for models with strict sampling contracts."""
try:
from agent.auxiliary_client import _fixed_temperature_for_model, OMIT_TEMPERATURE
from agent.auxiliary_client import _fixed_temperature_for_model
except Exception:
return None
result = _fixed_temperature_for_model(model, base_url)
if result is OMIT_TEMPERATURE:
return None # caller must omit temperature
return result
return _fixed_temperature_for_model(model, base_url)
+1 -2
View File
@@ -7,8 +7,7 @@
let
hermes-agent = inputs.self.packages.${system}.default;
hermes-tui = inputs.self.packages.${system}.tui;
hermes-web = inputs.self.packages.${system}.web;
packages = [ hermes-agent hermes-tui hermes-web ];
packages = [ hermes-agent hermes-tui ];
in {
devShells.default = pkgs.mkShell {
inputsFrom = packages;
-217
View File
@@ -1,217 +0,0 @@
# nix/lib.nix — Shared helpers for nix stuff
{ pkgs, npm-lockfile-fix }:
{
# Returns a buildNpmPackage-compatible attrs set that provides:
# patchPhase — ensures lockfile has exactly one trailing newline
# nativeBuildInputs — [ updateLockfileScript ] (list, prepend with ++ for more)
# passthru.devShellHook — stamp-checked npm install + hash auto-update
# passthru.npmLockfile — metadata for mkFixLockfiles
#
# NOTE: npmConfigHook runs `diff` between the source lockfile and the
# npm-deps cache lockfile. fetchNpmDeps preserves whatever trailing
# newlines the lockfile has. The patchPhase normalizes to exactly one
# trailing newline so both sides always match.
#
# Usage:
# npm = hermesNpmLib.mkNpmPassthru { folder = "ui-tui"; attr = "tui"; pname = "hermes-tui"; };
# pkgs.buildNpmPackage (npm // { ... } # or:
# pkgs.buildNpmPackage ({ ... } // npm)
mkNpmPassthru =
{
folder, # repo-relative folder with package.json, e.g. "ui-tui"
attr, # flake package attr, e.g. "tui"
pname, # e.g. "hermes-tui"
nixFile ? "nix/${attr}.nix", # defaults to nix/<attr>.nix
}:
{
patchPhase = ''
runHook prePatch
# Normalize trailing newlines so source and npm-deps always match,
# regardless of what fetchNpmDeps preserves.
sed -i -z 's/\n*$/\n/' package-lock.json
# Make npmConfigHook's byte-for-byte diff newline-agnostic by
# replacing its hardcoded /nix/store/.../diff with a wrapper that
# normalizes trailing newlines on both sides before comparing.
mkdir -p "$TMPDIR/bin"
cat > "$TMPDIR/bin/diff" << DIFFWRAP
#!/bin/sh
f1=\$(mktemp) && sed -z 's/\n*$/\n/' "\$1" > "\$f1"
f2=\$(mktemp) && sed -z 's/\n*$/\n/' "\$2" > "\$f2"
${pkgs.diffutils}/bin/diff "\$f1" "\$f2" && rc=0 || rc=\$?
rm -f "\$f1" "\$f2"
exit \$rc
DIFFWRAP
chmod +x "$TMPDIR/bin/diff"
export PATH="$TMPDIR/bin:$PATH"
runHook postPatch
'';
nativeBuildInputs = [
(pkgs.writeShellScriptBin "update_${attr}_lockfile" ''
set -euox pipefail
REPO_ROOT=$(git rev-parse --show-toplevel)
cd "$REPO_ROOT/${folder}"
rm -rf node_modules/
npm cache clean --force
CI=true npm install
${pkgs.lib.getExe npm-lockfile-fix} ./package-lock.json
NIX_FILE="$REPO_ROOT/${nixFile}"
sed -i "s/hash = \"[^\"]*\";/hash = \"\";/" $NIX_FILE
NIX_OUTPUT=$(nix build .#${attr} 2>&1 || true)
NEW_HASH=$(echo "$NIX_OUTPUT" | grep 'got:' | awk '{print $2}')
echo got new hash $NEW_HASH
sed -i "s|hash = \"[^\"]*\";|hash = \"$NEW_HASH\";|" $NIX_FILE
nix build .#${attr}
echo "Updated npm hash in $NIX_FILE to $NEW_HASH"
'')
];
passthru = {
devShellHook = pkgs.writeShellScript "npm-dev-hook-${pname}" ''
REPO_ROOT=$(git rev-parse --show-toplevel)
_hermes_npm_stamp() {
sha256sum "${folder}/package.json" "${folder}/package-lock.json" \
2>/dev/null | sha256sum | awk '{print $1}'
}
STAMP=".nix-stamps/${pname}"
STAMP_VALUE="$(_hermes_npm_stamp)"
if [ ! -f "$STAMP" ] || [ "$(cat "$STAMP")" != "$STAMP_VALUE" ]; then
echo "${pname}: installing npm dependencies..."
( cd ${folder} && CI=true npm install --silent --no-fund --no-audit 2>/dev/null )
# Auto-update the nix hash so it stays in sync with the lockfile
echo "${pname}: prefetching npm deps..."
NIX_FILE="$REPO_ROOT/${nixFile}"
if NEW_HASH=$(${pkgs.lib.getExe pkgs.prefetch-npm-deps} "${folder}/package-lock.json" 2>/dev/null); then
sed -i "s|hash = \"sha256-[A-Za-z0-9+/=]+\"|hash = \"$NEW_HASH\";|" "$NIX_FILE"
echo "${pname}: updated hash to $NEW_HASH"
else
echo "${pname}: warning: prefetch failed, run 'nix run .#fix-lockfiles -- --apply' manually" >&2
fi
mkdir -p .nix-stamps
_hermes_npm_stamp > "$STAMP"
fi
unset -f _hermes_npm_stamp
'';
npmLockfile = {
inherit attr folder nixFile;
};
};
};
# Aggregate `fix-lockfiles` bin from a list of packages carrying
# passthru.npmLockfile = { attr; folder; nixFile; };
# Invocations:
# fix-lockfiles --check # exit 1 if any hash is stale
# fix-lockfiles --apply # rewrite stale hashes in place
# Writes machine-readable fields (stale, changed, report) to $GITHUB_OUTPUT
# when set, so CI workflows can post a sticky PR comment directly.
mkFixLockfiles =
{
packages, # list of packages with passthru.npmLockfile
}:
let
entries = map (p: p.passthru.npmLockfile) packages;
entryArgs = pkgs.lib.concatMapStringsSep " " (e: "\"${e.attr}:${e.folder}:${e.nixFile}\"") entries;
in
pkgs.writeShellScriptBin "fix-lockfiles" ''
set -uox pipefail
MODE="''${1:---check}"
case "$MODE" in
--check|--apply) ;;
-h|--help)
echo "usage: fix-lockfiles [--check|--apply]"
exit 0 ;;
*)
echo "usage: fix-lockfiles [--check|--apply]" >&2
exit 2 ;;
esac
ENTRIES=(${entryArgs})
REPO_ROOT="$(git rev-parse --show-toplevel)"
cd "$REPO_ROOT"
# When running in GH Actions, emit Markdown links in the report pointing
# at the offending line of the nix file (and the lockfile) at the exact
# commit that was checked. LINK_SHA should be set by the workflow to the
# PR head SHA; falls back to GITHUB_SHA (which on pull_request is the
# test-merge commit, still browseable).
LINK_SERVER="''${GITHUB_SERVER_URL:-https://github.com}"
LINK_REPO="''${GITHUB_REPOSITORY:-}"
LINK_SHA="''${LINK_SHA:-''${GITHUB_SHA:-}}"
STALE=0
FIXED=0
REPORT=""
for entry in "''${ENTRIES[@]}"; do
IFS=":" read -r ATTR FOLDER NIX_FILE <<< "$entry"
echo "==> .#$ATTR ($FOLDER -> $NIX_FILE)"
OUTPUT=$(nix build ".#$ATTR.npmDeps" --no-link --print-build-logs 2>&1)
STATUS=$?
if [ "$STATUS" -eq 0 ]; then
echo " ok"
continue
fi
NEW_HASH=$(echo "$OUTPUT" | awk '/got:/ {print $2; exit}')
if [ -z "$NEW_HASH" ]; then
echo " build failed with no hash mismatch:" >&2
echo "$OUTPUT" | tail -40 >&2
exit 1
fi
HASH_LINE=$(grep -n 'hash = "sha256-' "$NIX_FILE" | head -1 | cut -d: -f1)
OLD_HASH=$(grep -oE 'hash = "sha256-[^"]+"' "$NIX_FILE" | head -1 \
| sed -E 's/hash = "(.*)"/\1/')
LOCK_FILE="$FOLDER/package-lock.json"
echo " stale: $NIX_FILE:$HASH_LINE $OLD_HASH -> $NEW_HASH"
STALE=1
if [ -n "$LINK_REPO" ] && [ -n "$LINK_SHA" ]; then
NIX_URL="$LINK_SERVER/$LINK_REPO/blob/$LINK_SHA/$NIX_FILE#L$HASH_LINE"
LOCK_URL="$LINK_SERVER/$LINK_REPO/blob/$LINK_SHA/$LOCK_FILE"
REPORT+="- [\`$NIX_FILE:$HASH_LINE\`]($NIX_URL) (\`.#$ATTR\`): \`$OLD_HASH\` \`$NEW_HASH\` lockfile: [\`$LOCK_FILE\`]($LOCK_URL)"$'\n'
else
REPORT+="- \`$NIX_FILE:$HASH_LINE\` (\`.#$ATTR\`): \`$OLD_HASH\` \`$NEW_HASH\`"$'\n'
fi
if [ "$MODE" = "--apply" ]; then
sed -i "s|hash = \"sha256-[^\"]*\";|hash = \"$NEW_HASH\";|" "$NIX_FILE"
nix build ".#$ATTR.npmDeps" --no-link --print-build-logs
FIXED=1
echo " fixed"
fi
done
if [ -n "''${GITHUB_OUTPUT:-}" ]; then
{
[ "$STALE" -eq 1 ] && echo "stale=true" || echo "stale=false"
[ "$FIXED" -eq 1 ] && echo "changed=true" || echo "changed=false"
if [ -n "$REPORT" ]; then
echo "report<<REPORT_EOF"
printf "%s" "$REPORT"
echo "REPORT_EOF"
fi
} >> "$GITHUB_OUTPUT"
fi
if [ "$STALE" -eq 1 ] && [ "$MODE" = "--check" ]; then
echo
echo "Stale lockfile hashes detected. Run:"
echo " nix run .#fix-lockfiles -- --apply"
exit 1
fi
exit 0
'';
}
+2 -10
View File
@@ -8,12 +8,8 @@
inherit (inputs) uv2nix pyproject-nix pyproject-build-systems;
};
hermesNpmLib = pkgs.callPackage ./lib.nix {
npm-lockfile-fix = inputs'.npm-lockfile-fix.packages.default;
};
hermesTui = pkgs.callPackage ./tui.nix {
inherit hermesNpmLib;
npm-lockfile-fix = inputs'.npm-lockfile-fix.packages.default;
};
# Import bundled skills, excluding runtime caches
@@ -23,7 +19,7 @@
};
hermesWeb = pkgs.callPackage ./web.nix {
inherit hermesNpmLib;
npm-lockfile-fix = inputs'.npm-lockfile-fix.packages.default;
};
runtimeDeps = with pkgs; [
@@ -115,10 +111,6 @@
tui = hermesTui;
web = hermesWeb;
fix-lockfiles = hermesNpmLib.mkFixLockfiles {
packages = [ hermesTui hermesWeb ];
};
};
};
}
+43 -6
View File
@@ -1,18 +1,18 @@
# nix/tui.nix — Hermes TUI (Ink/React) compiled with tsc and bundled
{ pkgs, hermesNpmLib, ... }:
{ pkgs, npm-lockfile-fix, ... }:
let
src = ../ui-tui;
npmDeps = pkgs.fetchNpmDeps {
inherit src;
hash = "sha256-RU4qSHgJPMyfRSEJDzkG4+MReDZDc6QbTD2wisa5QE0=";
hash = "sha256-mG3vpgGi4ljt4X3XIf3I/5mIcm+rVTUAmx2DQ6YVA90=";
};
npm = hermesNpmLib.mkNpmPassthru { folder = "ui-tui"; attr = "tui"; pname = "hermes-tui"; };
packageJson = builtins.fromJSON (builtins.readFile (src + "/package.json"));
version = packageJson.version;
npmLockHash = builtins.hashString "sha256" (builtins.readFile ../ui-tui/package-lock.json);
in
pkgs.buildNpmPackage (npm // {
pkgs.buildNpmPackage {
pname = "hermes-tui";
inherit src npmDeps version;
@@ -37,4 +37,41 @@ pkgs.buildNpmPackage (npm // {
runHook postInstall
'';
})
nativeBuildInputs = [
(pkgs.writeShellScriptBin "update_tui_lockfile" ''
set -euox pipefail
# get root of repo
REPO_ROOT=$(git rev-parse --show-toplevel)
# cd into ui-tui and reinstall
cd "$REPO_ROOT/ui-tui"
rm -rf node_modules/
npm cache clean --force
CI=true npm install # ci env var to suppress annoying unicode install banner lag
${pkgs.lib.getExe npm-lockfile-fix} ./package-lock.json
NIX_FILE="$REPO_ROOT/nix/tui.nix"
# compute the new hash
sed -i "s/hash = \"[^\"]*\";/hash = \"\";/" $NIX_FILE
NIX_OUTPUT=$(nix build .#tui 2>&1 || true)
NEW_HASH=$(echo "$NIX_OUTPUT" | grep 'got:' | awk '{print $2}')
echo got new hash $NEW_HASH
sed -i "s|hash = \"[^\"]*\";|hash = \"$NEW_HASH\";|" $NIX_FILE
nix build .#tui
echo "Updated npm hash in $NIX_FILE to $NEW_HASH"
'')
];
passthru.devShellHook = ''
STAMP=".nix-stamps/hermes-tui"
STAMP_VALUE="${npmLockHash}"
if [ ! -f "$STAMP" ] || [ "$(cat "$STAMP")" != "$STAMP_VALUE" ]; then
echo "hermes-tui: installing npm dependencies..."
cd ui-tui && CI=true npm install --silent --no-fund --no-audit 2>/dev/null && cd ..
mkdir -p .nix-stamps
echo "$STAMP_VALUE" > "$STAMP"
fi
'';
}
+39 -5
View File
@@ -1,15 +1,15 @@
# nix/web.nix — Hermes Web Dashboard (Vite/React) frontend build
{ pkgs, hermesNpmLib, ... }:
{ pkgs, npm-lockfile-fix, ... }:
let
src = ../web;
npmDeps = pkgs.fetchNpmDeps {
inherit src;
hash = "sha256-TS/vrCHbdvXkPcAPxImKzAd2pdDCrKlgYZkXBMQ+TEg=";
hash = "sha256-Y0pOzdFG8BLjfvCLmsvqYpjxFjAQabXp1i7X9W/cCU4=";
};
npm = hermesNpmLib.mkNpmPassthru { folder = "web"; attr = "web"; pname = "hermes-web"; };
npmLockHash = builtins.hashString "sha256" (builtins.readFile ../web/package-lock.json);
in
pkgs.buildNpmPackage (npm // {
pkgs.buildNpmPackage {
pname = "hermes-web";
version = "0.0.0";
inherit src npmDeps;
@@ -26,4 +26,38 @@ pkgs.buildNpmPackage (npm // {
cp -r dist $out
runHook postInstall
'';
})
nativeBuildInputs = [
(pkgs.writeShellScriptBin "update_web_lockfile" ''
set -euox pipefail
REPO_ROOT=$(git rev-parse --show-toplevel)
cd "$REPO_ROOT/web"
rm -rf node_modules/
npm cache clean --force
CI=true npm install
${pkgs.lib.getExe npm-lockfile-fix} ./package-lock.json
NIX_FILE="$REPO_ROOT/nix/web.nix"
sed -i "s/hash = \"[^\"]*\";/hash = \"\";/" $NIX_FILE
NIX_OUTPUT=$(nix build .#web 2>&1 || true)
NEW_HASH=$(echo "$NIX_OUTPUT" | grep 'got:' | awk '{print $2}')
echo got new hash $NEW_HASH
sed -i "s|hash = \"[^\"]*\";|hash = \"$NEW_HASH\";|" $NIX_FILE
nix build .#web
echo "Updated npm hash in $NIX_FILE to $NEW_HASH"
'')
];
passthru.devShellHook = ''
STAMP=".nix-stamps/hermes-web"
STAMP_VALUE="${npmLockHash}"
if [ ! -f "$STAMP" ] || [ "$(cat "$STAMP")" != "$STAMP_VALUE" ]; then
echo "hermes-web: installing npm dependencies..."
cd web && CI=true npm install --silent --no-fund --no-audit 2>/dev/null && cd ..
mkdir -p .nix-stamps
echo "$STAMP_VALUE" > "$STAMP"
fi
'';
}
-3
View File
@@ -1,3 +0,0 @@
# Dogfood — Advanced QA & Testing Skills
Specialized QA workflows that go beyond basic bug-finding. These skills use structured methodologies to surface UX friction, accessibility issues, and product-level problems that standard testing misses.
@@ -1,190 +0,0 @@
---
name: adversarial-ux-test
description: Roleplay the most difficult, tech-resistant user for your product. Browse the app as that persona, find every UX pain point, then filter complaints through a pragmatism layer to separate real problems from noise. Creates actionable tickets from genuine issues only.
version: 1.0.0
author: Omni @ Comelse
license: MIT
metadata:
hermes:
tags: [qa, ux, testing, adversarial, dogfood, personas, user-testing]
related_skills: [dogfood]
---
# Adversarial UX Test
Roleplay the worst-case user for your product — the person who hates technology, doesn't want your software, and will find every reason to complain. Then filter their feedback through a pragmatism layer to separate real UX problems from "I hate computers" noise.
Think of it as an automated "mom test" — but angry.
## Why This Works
Most QA finds bugs. This finds **friction**. A technically correct app can still be unusable for real humans. The adversarial persona catches:
- Confusing terminology that makes sense to developers but not users
- Too many steps to accomplish basic tasks
- Missing onboarding or "aha moments"
- Accessibility issues (font size, contrast, click targets)
- Cold-start problems (empty states, no demo content)
- Paywall/signup friction that kills conversion
The **pragmatism filter** (Phase 3) is what makes this useful instead of just entertaining. Without it, you'd add a "print this page" button to every screen because Grandpa can't figure out PDFs.
## How to Use
Tell the agent:
```
"Run an adversarial UX test on [URL]"
"Be a grumpy [persona type] and test [app name]"
"Do an asshole user test on my staging site"
```
You can provide a persona or let the agent generate one based on your product's target audience.
## Step 1: Define the Persona
If no persona is provided, generate one by answering:
1. **Who is the HARDEST user for this product?** (age 50+, non-technical role, decades of experience doing it "the old way")
2. **What is their tech comfort level?** (the lower the better — WhatsApp-only, paper notebooks, wife set up their email)
3. **What is the ONE thing they need to accomplish?** (their core job, not your feature list)
4. **What would make them give up?** (too many clicks, jargon, slow, confusing)
5. **How do they talk when frustrated?** (blunt, sweary, dismissive, sighing)
### Good Persona Example
> **"Big Mick" McAllister** — 58-year-old S&C coach. Uses WhatsApp and that's it. His "spreadsheet" is a paper notebook. "If I can't figure it out in 10 seconds I'm going back to my notebook." Needs to log session results for 25 players. Hates small text, jargon, and passwords.
### Bad Persona Example
> "A user who doesn't like the app" — too vague, no constraints, no voice.
The persona must be **specific enough to stay in character** for 20 minutes of testing.
## Step 2: Become the Asshole (Browse as the Persona)
1. Read any available project docs for app context and URLs
2. **Fully inhabit the persona** — their frustrations, limitations, goals
3. Navigate to the app using browser tools
4. **Attempt the persona's ACTUAL TASKS** (not a feature tour):
- Can they do what they came to do?
- How many clicks/screens to accomplish it?
- What confuses them?
- What makes them angry?
- Where do they get lost?
- What would make them give up and go back to their old way?
5. Test these friction categories:
- **First impression** — would they even bother past the landing page?
- **Core workflow** — the ONE thing they need to do most often
- **Error recovery** — what happens when they do something wrong?
- **Readability** — text size, contrast, information density
- **Speed** — does it feel faster than their current method?
- **Terminology** — any jargon they wouldn't understand?
- **Navigation** — can they find their way back? do they know where they are?
6. Take screenshots of every pain point
7. Check browser console for JS errors on every page
## Step 3: The Rant (Write Feedback in Character)
Write the feedback AS THE PERSONA — in their voice, with their frustrations. This is not a bug report. This is a real human venting.
```
[PERSONA NAME]'s Review of [PRODUCT]
Overall: [Would they keep using it? Yes/No/Maybe with conditions]
THE GOOD (grudging admission):
- [things even they have to admit work]
THE BAD (legitimate UX issues):
- [real problems that would stop them from using the product]
THE UGLY (showstoppers):
- [things that would make them uninstall/cancel immediately]
SPECIFIC COMPLAINTS:
1. [Page/feature]: "[quote in persona voice]" — [what happened, expected]
2. ...
VERDICT: "[one-line persona quote summarizing their experience]"
```
## Step 4: The Pragmatism Filter (Critical — Do Not Skip)
Step OUT of the persona. Evaluate each complaint as a product person:
- **RED: REAL UX BUG** — Any user would have this problem, not just grumpy ones. Fix it.
- **YELLOW: VALID BUT LOW PRIORITY** — Real issue but only for extreme users. Note it.
- **WHITE: PERSONA NOISE** — "I hate computers" talking, not a product problem. Skip it.
- **GREEN: FEATURE REQUEST** — Good idea hidden in the complaint. Consider it.
### Filter Criteria
1. Would a 35-year-old competent-but-busy user have the same complaint? → RED
2. Is this a genuine accessibility issue (font size, contrast, click targets)? → RED
3. Is this "I want it to work like paper" resistance to digital? → WHITE
4. Is this a real workflow inefficiency the persona stumbled on? → YELLOW or RED
5. Would fixing this add complexity for the 80% who are fine? → WHITE
6. Does the complaint reveal a missing onboarding moment? → GREEN
**This filter is MANDATORY.** Never ship raw persona complaints as tickets.
## Step 5: Create Tickets
For **RED** and **GREEN** items only:
- Clear, actionable title
- Include the persona's verbatim quote (entertaining + memorable)
- The real UX issue underneath (objective)
- A suggested fix (actionable)
- Tag/label: "ux-review"
For **YELLOW** items: one catch-all ticket with all notes.
**WHITE** items appear in the report only. No tickets.
**Max 10 tickets per session** — focus on the worst issues.
## Step 6: Report
Deliver:
1. The persona rant (Step 3) — entertaining and visceral
2. The filtered assessment (Step 4) — pragmatic and actionable
3. Tickets created (Step 5) — with links
4. Screenshots of key issues
## Tips
- **One persona per session.** Don't mix perspectives.
- **Stay in character during Steps 2-3.** Break character only at Step 4.
- **Test the CORE WORKFLOW first.** Don't get distracted by settings pages.
- **Empty states are gold.** New user experience reveals the most friction.
- **The best findings are RED items the persona found accidentally** while trying to do something else.
- **If the persona has zero complaints, your persona is too tech-savvy.** Make them older, less patient, more set in their ways.
- **Run this before demos, launches, or after shipping a batch of features.**
- **Register as a NEW user when possible.** Don't use pre-seeded admin accounts — the cold start experience is where most friction lives.
- **Zero WHITE items is a signal, not a failure.** If the pragmatism filter finds no noise, your product has real UX problems, not just a grumpy persona.
- **Check known issues in project docs AFTER the test.** If the persona found a bug that's already in the known issues list, that's actually the most damning finding — it means the team knew about it but never felt the user's pain.
- **Subscription/paywall testing is critical.** Test with expired accounts, not just active ones. The "what happens when you can't pay" experience reveals whether the product respects users or holds their data hostage.
- **Count the clicks to accomplish the persona's ONE task.** If it's more than 5, that's almost always a RED finding regardless of persona tech level.
## Example Personas by Industry
These are starting points — customize for your specific product:
| Product Type | Persona | Age | Key Trait |
|-------------|---------|-----|-----------|
| CRM | Retirement home director | 68 | Filing cabinet is the current CRM |
| Photography SaaS | Rural wedding photographer | 62 | Books clients by phone, invoices on paper |
| AI/ML Tool | Department store buyer | 55 | Burned by 3 failed tech startups |
| Fitness App | Old-school gym coach | 58 | Paper notebook, thick fingers, bad eyes |
| Accounting | Family bakery owner | 64 | Shoebox of receipts, hates subscriptions |
| E-commerce | Market stall vendor | 60 | Cash only, smartphone is for calls |
| Healthcare | Senior GP | 63 | Dictates notes, nurse handles the computer |
| Education | Veteran teacher | 57 | Chalk and talk, worksheets in ring binders |
## Rules
- Stay in character during Steps 2-3
- Be genuinely mean but fair — find real problems, not manufactured ones
- The pragmatism filter (Step 4) is **MANDATORY**
- Screenshots required for every complaint
- Max 10 tickets per session
- Test on staging/deployed app, not local dev
- One persona, one session, one report
@@ -57,32 +57,32 @@ Use the `ddgs` command via `terminal` when it exists. This is the preferred path
```bash
# Text search
ddgs text -q "python async programming" -m 5
ddgs text -k "python async programming" -m 5
# News search
ddgs news -q "artificial intelligence" -m 5
ddgs news -k "artificial intelligence" -m 5
# Image search
ddgs images -q "landscape photography" -m 10
ddgs images -k "landscape photography" -m 10
# Video search
ddgs videos -q "python tutorial" -m 5
ddgs videos -k "python tutorial" -m 5
# With region filter
ddgs text -q "best restaurants" -m 5 -r us-en
ddgs text -k "best restaurants" -m 5 -r us-en
# Recent results only (d=day, w=week, m=month, y=year)
ddgs text -q "latest AI news" -m 5 -t w
ddgs text -k "latest AI news" -m 5 -t w
# JSON output for parsing
ddgs text -q "fastapi tutorial" -m 5 -o json
ddgs text -k "fastapi tutorial" -m 5 -o json
```
### CLI Flags
| Flag | Description | Example |
|------|-------------|---------|
| `-q` | Query — **required** | `-q "search terms"` |
| `-k` | Keywords (query)**required** | `-k "search terms"` |
| `-m` | Max results | `-m 5` |
| `-r` | Region | `-r us-en` |
| `-t` | Time limit | `-t w` (week) |
@@ -189,7 +189,7 @@ DuckDuckGo returns titles, URLs, and snippets — not full page content. To get
CLI example:
```bash
ddgs text -q "fastapi deployment guide" -m 3 -o json
ddgs text -k "fastapi deployment guide" -m 3 -o json
```
Python example, only after verifying `ddgs` is installed in that runtime:
@@ -229,7 +229,7 @@ Then extract the best URL with `web_extract` or another content-retrieval tool.
- **Do not assume the CLI exists**: Check `command -v ddgs` before using it.
- **Do not assume `execute_code` can import `ddgs`**: `from ddgs import DDGS` may fail with `ModuleNotFoundError` unless that runtime was prepared separately.
- **Package name**: The package is `ddgs` (previously `duckduckgo-search`). Install with `pip install ddgs`.
- **Don't confuse `-q` and `-m`** (CLI): `-q` is for the query, `-m` is for max results count.
- **Don't confuse `-k` and `-m`** (CLI): `-k` is for keywords, `-m` is for max results count.
- **Empty results**: If `ddgs` returns nothing, it may be rate-limited. Wait a few seconds and retry.
## Validated With
@@ -25,4 +25,4 @@ if ! command -v ddgs &> /dev/null; then
exit 1
fi
ddgs text -q "$QUERY" -m "$MAX_RESULTS"
ddgs text -k "$QUERY" -m "$MAX_RESULTS"
@@ -1,5 +0,0 @@
# Web Development
Optional skills for client-side web development workflows — embedding agents, copilots, and AI-native UX patterns into user-facing web apps.
These are distinct from Hermes' own browser automation (Browserbase, Camofox), which operate *on* websites from outside. Web-development skills here help users build *into* their own websites.
@@ -1,189 +0,0 @@
---
name: page-agent
description: Embed alibaba/page-agent into your own web application — a pure-JavaScript in-page GUI agent that ships as a single <script> tag or npm package and lets end-users of your site drive the UI with natural language ("click login, fill username as John"). No Python, no headless browser, no extension required. Use this skill when the user is a web developer who wants to add an AI copilot to their SaaS / admin panel / B2B tool, make a legacy web app accessible via natural language, or evaluate page-agent against a local (Ollama) or cloud (Qwen / OpenAI / OpenRouter) LLM. NOT for server-side browser automation — point those users to Hermes' built-in browser tool instead.
version: 1.0.0
author: Hermes Agent
license: MIT
metadata:
hermes:
tags: [web, javascript, agent, browser, gui, alibaba, embed, copilot, saas]
category: web-development
---
# page-agent
alibaba/page-agent (https://github.com/alibaba/page-agent, 17k+ stars, MIT) is an in-page GUI agent written in TypeScript. It lives inside a webpage, reads the DOM as text (no screenshots, no multi-modal LLM), and executes natural-language instructions like "click the login button, then fill username as John" against the current page. Pure client-side — the host site just includes a script and passes an OpenAI-compatible LLM endpoint.
## When to use this skill
Load this skill when a user wants to:
- **Ship an AI copilot inside their own web app** (SaaS, admin panel, B2B tool, ERP, CRM) — "users on my dashboard should be able to type 'create invoice for Acme Corp and email it' instead of clicking through five screens"
- **Modernize a legacy web app** without rewriting the frontend — page-agent drops on top of existing DOM
- **Add accessibility via natural language** — voice / screen-reader users drive the UI by describing what they want
- **Demo or evaluate page-agent** against a local (Ollama) or hosted (Qwen, OpenAI, OpenRouter) LLM
- **Build interactive training / product demos** — let an AI walk a user through "how to submit an expense report" live in the real UI
## When NOT to use this skill
- User wants **Hermes itself to drive a browser** → use Hermes' built-in browser tool (Browserbase / Camofox). page-agent is the *opposite* direction.
- User wants **cross-tab automation without embedding** → use Playwright, browser-use, or the page-agent Chrome extension
- User needs **visual grounding / screenshots** → page-agent is text-DOM only; use a multimodal browser agent instead
## Prerequisites
- Node 22.13+ or 24+, npm 10+ (docs claim 11+ but 10.9 works fine)
- An OpenAI-compatible LLM endpoint: Qwen (DashScope), OpenAI, Ollama, OpenRouter, or anything speaking `/v1/chat/completions`
- Browser with devtools (for debugging)
## Path 1 — 30-second demo via CDN (no install)
Fastest way to see it work. Uses alibaba's free testing LLM proxy — **for evaluation only**, subject to their terms.
Add to any HTML page (or paste into the devtools console as a bookmarklet):
```html
<script src="https://cdn.jsdelivr.net/npm/page-agent@1.8.0/dist/iife/page-agent.demo.js" crossorigin="true"></script>
```
A panel appears. Type an instruction. Done.
Bookmarklet form (drop into bookmarks bar, click on any page):
```javascript
javascript:(function(){var s=document.createElement('script');s.src='https://cdn.jsdelivr.net/npm/page-agent@1.8.0/dist/iife/page-agent.demo.js';document.head.appendChild(s);})();
```
## Path 2 — npm install into your own web app (production use)
Inside an existing web project (React / Vue / Svelte / plain):
```bash
npm install page-agent
```
Wire it up with your own LLM endpoint — **never ship the demo CDN to real users**:
```javascript
import { PageAgent } from 'page-agent'
const agent = new PageAgent({
model: 'qwen3.5-plus',
baseURL: 'https://dashscope.aliyuncs.com/compatible-mode/v1',
apiKey: process.env.LLM_API_KEY, // never hardcode
language: 'en-US',
})
// Show the panel for end users:
agent.panel.show()
// Or drive it programmatically:
await agent.execute('Click submit button, then fill username as John')
```
Provider examples (any OpenAI-compatible endpoint works):
| Provider | `baseURL` | `model` |
|----------|-----------|---------|
| Qwen / DashScope | `https://dashscope.aliyuncs.com/compatible-mode/v1` | `qwen3.5-plus` |
| OpenAI | `https://api.openai.com/v1` | `gpt-4o-mini` |
| Ollama (local) | `http://localhost:11434/v1` | `qwen3:14b` |
| OpenRouter | `https://openrouter.ai/api/v1` | `anthropic/claude-sonnet-4.6` |
**Key config fields** (passed to `new PageAgent({...})`):
- `model`, `baseURL`, `apiKey` — LLM connection
- `language` — UI language (`en-US`, `zh-CN`, etc.)
- Allowlist and data-masking hooks exist for locking down what the agent can touch — see https://alibaba.github.io/page-agent/ for the full option list
**Security.** Don't put your `apiKey` in client-side code for a real deployment — proxy LLM calls through your backend and point `baseURL` at your proxy. The demo CDN exists because alibaba runs that proxy for evaluation.
## Path 3 — clone the source repo (contributing, or hacking on it)
Use this when the user wants to modify page-agent itself, test it against arbitrary sites via a local IIFE bundle, or develop the browser extension.
```bash
git clone https://github.com/alibaba/page-agent.git
cd page-agent
npm ci # exact lockfile install (or `npm i` to allow updates)
```
Create `.env` in the repo root with an LLM endpoint. Example:
```
LLM_MODEL_NAME=gpt-4o-mini
LLM_API_KEY=sk-...
LLM_BASE_URL=https://api.openai.com/v1
```
Ollama flavor:
```
LLM_BASE_URL=http://localhost:11434/v1
LLM_API_KEY=NA
LLM_MODEL_NAME=qwen3:14b
```
Common commands:
```bash
npm start # docs/website dev server
npm run build # build every package
npm run dev:demo # serve IIFE bundle at http://localhost:5174/page-agent.demo.js
npm run dev:ext # develop the browser extension (WXT + React)
npm run build:ext # build the extension
```
**Test on any website** using the local IIFE bundle. Add this bookmarklet:
```javascript
javascript:(function(){var s=document.createElement('script');s.src=`http://localhost:5174/page-agent.demo.js?t=${Math.random()}`;s.onload=()=>console.log('PageAgent ready!');document.head.appendChild(s);})();
```
Then: `npm run dev:demo`, click the bookmarklet on any page, and the local build injects. Auto-rebuilds on save.
**Warning:** your `.env` `LLM_API_KEY` is inlined into the IIFE bundle during dev builds. Don't share the bundle. Don't commit it. Don't paste the URL into Slack. (Verified: grepping the public dev bundle returns the literal values from `.env`.)
## Repo layout (Path 3)
Monorepo with npm workspaces. Key packages:
| Package | Path | Purpose |
|---------|------|---------|
| `page-agent` | `packages/page-agent/` | Main entry with UI panel |
| `@page-agent/core` | `packages/core/` | Core agent logic, no UI |
| `@page-agent/mcp` | `packages/mcp/` | MCP server (beta) |
| — | `packages/llms/` | LLM client |
| — | `packages/page-controller/` | DOM ops + visual feedback |
| — | `packages/ui/` | Panel + i18n |
| — | `packages/extension/` | Chrome/Firefox extension |
| — | `packages/website/` | Docs + landing site |
## Verifying it works
After Path 1 or Path 2:
1. Open the page in a browser with devtools open
2. You should see a floating panel. If not, check the console for errors (most common: CORS on the LLM endpoint, wrong `baseURL`, or a bad API key)
3. Type a simple instruction matching something visible on the page ("click the Login link")
4. Watch the Network tab — you should see a request to your `baseURL`
After Path 3:
1. `npm run dev:demo` prints `Accepting connections at http://localhost:5174`
2. `curl -I http://localhost:5174/page-agent.demo.js` returns `HTTP/1.1 200 OK` with `Content-Type: application/javascript`
3. Click the bookmarklet on any site; panel appears
## Pitfalls
- **Demo CDN in production** — don't. It's rate-limited, uses alibaba's free proxy, and their terms forbid production use.
- **API key exposure** — any key passed to `new PageAgent({apiKey: ...})` ships in your JS bundle. Always proxy through your own backend for real deployments.
- **Non-OpenAI-compatible endpoints** fail silently or with cryptic errors. If your provider needs native Anthropic/Gemini formatting, use an OpenAI-compatibility proxy (LiteLLM, OpenRouter) in front.
- **CSP blocks** — sites with strict Content-Security-Policy may refuse to load the CDN script or disallow inline eval. In that case, self-host from your origin.
- **Restart dev server** after editing `.env` in Path 3 — Vite only reads env at startup.
- **Node version** — the repo declares `^22.13.0 || >=24`. Node 20 will fail `npm ci` with engine errors.
- **npm 10 vs 11** — docs say npm 11+; npm 10.9 actually works fine.
## Reference
- Repo: https://github.com/alibaba/page-agent
- Docs: https://alibaba.github.io/page-agent/
- License: MIT (built on browser-use's DOM processing internals, Copyright 2024 Gregor Zunic)
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},
"homepage": "https://github.com/NousResearch/Hermes-Agent#readme",
"dependencies": {
"@askjo/camofox-browser": "^1.5.2",
"agent-browser": "^0.26.0"
"agent-browser": "^0.13.0",
"@askjo/camofox-browser": "^1.5.2"
},
"overrides": {
"lodash": "4.18.1"
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# disk-cleanup
Auto-tracks and cleans up ephemeral files created during Hermes Agent
sessions — test scripts, temp outputs, cron logs, stale chrome profiles.
Scoped strictly to `$HERMES_HOME` and `/tmp/hermes-*`.
Originally contributed by [@LVT382009](https://github.com/LVT382009) as a
skill in PR #12212. Ported to the plugin system so the behaviour runs
automatically via `post_tool_call` and `on_session_end` hooks — the agent
never needs to remember to call a tool.
## How it works
| Hook | Behaviour |
|---|---|
| `post_tool_call` | When `write_file` / `terminal` / `patch` creates a file matching `test_*`, `tmp_*`, or `*.test.*` inside `HERMES_HOME`, track it silently as `test` / `temp` / `cron-output`. |
| `on_session_end` | If any test files were auto-tracked during this turn, run `quick` cleanup (no prompts). |
Deletion rules (same as the original PR):
| Category | Threshold | Confirmation |
|---|---|---|
| `test` | every session end | Never |
| `temp` | >7 days since tracked | Never |
| `cron-output` | >14 days since tracked | Never |
| empty dirs under HERMES_HOME | always | Never |
| `research` | >30 days, beyond 10 newest | Always (deep only) |
| `chrome-profile` | >14 days since tracked | Always (deep only) |
| files >500 MB | never auto | Always (deep only) |
## Slash command
```
/disk-cleanup status # breakdown + top-10 largest
/disk-cleanup dry-run # preview without deleting
/disk-cleanup quick # run safe cleanup now
/disk-cleanup deep # quick + list items needing prompt
/disk-cleanup track <path> <category> # manual tracking
/disk-cleanup forget <path> # stop tracking
```
## Safety
- `is_safe_path()` rejects anything outside `HERMES_HOME` or `/tmp/hermes-*`
- Windows mounts (`/mnt/c` etc.) are rejected
- The state directory `$HERMES_HOME/disk-cleanup/` is itself excluded
- `$HERMES_HOME/logs/`, `memories/`, `sessions/`, `skills/`, `plugins/`,
and config files are never tracked
- Backup/restore is scoped to `tracked.json` — the plugin never touches
agent logs
- Atomic writes: `.tmp` → backup → rename
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"""disk-cleanup plugin — auto-cleanup of ephemeral Hermes session files.
Wires three behaviours:
1. ``post_tool_call`` hook inspects ``write_file`` and ``terminal``
tool results for newly-created paths matching test/temp patterns
under ``HERMES_HOME`` and tracks them silently. Zero agent
compliance required.
2. ``on_session_end`` hook when any test files were auto-tracked
during the just-finished turn, runs :func:`disk_cleanup.quick` and
logs a single line to ``$HERMES_HOME/disk-cleanup/cleanup.log``.
3. ``/disk-cleanup`` slash command manual ``status``, ``dry-run``,
``quick``, ``deep``, ``track``, ``forget``.
Replaces PR #12212's skill-plus-script design: the agent no longer
needs to remember to run commands.
"""
from __future__ import annotations
import logging
import re
import shlex
import threading
from pathlib import Path
from typing import Any, Dict, Optional, Set
from . import disk_cleanup as dg
logger = logging.getLogger(__name__)
# Per-task set of "test files newly tracked this turn". Keyed by task_id
# (or session_id as fallback) so on_session_end can decide whether to run
# cleanup. Guarded by a lock — post_tool_call can fire concurrently on
# parallel tool calls.
_recent_test_tracks: Dict[str, Set[str]] = {}
_lock = threading.Lock()
# Tool-call result shapes we can parse
_WRITE_FILE_PATH_KEY = "path"
_TERMINAL_PATH_REGEX = re.compile(r"(?:^|\s)(/[^\s'\"`]+|\~/[^\s'\"`]+)")
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _tracker_key(task_id: str, session_id: str) -> str:
return task_id or session_id or "default"
def _record_track(task_id: str, session_id: str, path: Path, category: str) -> None:
"""Record that we tracked *path* as *category* during this turn."""
if category != "test":
return
key = _tracker_key(task_id, session_id)
with _lock:
_recent_test_tracks.setdefault(key, set()).add(str(path))
def _drain(task_id: str, session_id: str) -> Set[str]:
"""Pop the set of test paths tracked during this turn."""
key = _tracker_key(task_id, session_id)
with _lock:
return _recent_test_tracks.pop(key, set())
def _attempt_track(path_str: str, task_id: str, session_id: str) -> None:
"""Best-effort auto-track. Never raises."""
try:
p = Path(path_str).expanduser()
except Exception:
return
if not p.exists():
return
category = dg.guess_category(p)
if category is None:
return
newly = dg.track(str(p), category, silent=True)
if newly:
_record_track(task_id, session_id, p, category)
def _extract_paths_from_write_file(args: Dict[str, Any]) -> Set[str]:
path = args.get(_WRITE_FILE_PATH_KEY)
return {path} if isinstance(path, str) and path else set()
def _extract_paths_from_patch(args: Dict[str, Any]) -> Set[str]:
# The patch tool creates new files via the `mode="patch"` path too, but
# most of its use is editing existing files — we only care about new
# ephemeral creations, so treat patch conservatively and only pick up
# the single-file `path` arg. Track-then-cleanup is idempotent, so
# re-tracking an already-tracked file is a no-op (dedup in track()).
path = args.get("path")
return {path} if isinstance(path, str) and path else set()
def _extract_paths_from_terminal(args: Dict[str, Any], result: str) -> Set[str]:
"""Best-effort: pull candidate filesystem paths from a terminal command
and its output, then let ``guess_category`` / ``is_safe_path`` filter.
"""
paths: Set[str] = set()
cmd = args.get("command") or ""
if isinstance(cmd, str) and cmd:
# Tokenise the command — catches `touch /tmp/hermes-x/test_foo.py`
try:
for tok in shlex.split(cmd, posix=True):
if tok.startswith(("/", "~")):
paths.add(tok)
except ValueError:
pass
# Only scan the result text if it's a reasonable size (avoid 50KB dumps).
if isinstance(result, str) and len(result) < 4096:
for match in _TERMINAL_PATH_REGEX.findall(result):
paths.add(match)
return paths
# ---------------------------------------------------------------------------
# Hooks
# ---------------------------------------------------------------------------
def _on_post_tool_call(
tool_name: str = "",
args: Optional[Dict[str, Any]] = None,
result: Any = None,
task_id: str = "",
session_id: str = "",
tool_call_id: str = "",
**_: Any,
) -> None:
"""Auto-track ephemeral files created by recent tool calls."""
if not isinstance(args, dict):
return
candidates: Set[str] = set()
if tool_name == "write_file":
candidates = _extract_paths_from_write_file(args)
elif tool_name == "patch":
candidates = _extract_paths_from_patch(args)
elif tool_name == "terminal":
candidates = _extract_paths_from_terminal(args, result if isinstance(result, str) else "")
else:
return
for path_str in candidates:
_attempt_track(path_str, task_id, session_id)
def _on_session_end(
session_id: str = "",
completed: bool = True,
interrupted: bool = False,
**_: Any,
) -> None:
"""Run quick cleanup if any test files were tracked during this turn."""
# Drain both task-level and session-level buckets. In practice only one
# is populated per turn; the other is empty.
drained_session = _drain("", session_id)
# Also drain any task-scoped buckets that happen to exist. This is a
# cheap sweep: if an agent spawned subagents (each with their own
# task_id) they'll have recorded into separate buckets; we want to
# cleanup them all at session end.
with _lock:
task_buckets = list(_recent_test_tracks.keys())
for key in task_buckets:
if key and key != session_id:
_recent_test_tracks.pop(key, None)
if not drained_session and not task_buckets:
return
try:
summary = dg.quick()
except Exception as exc:
logger.debug("disk-cleanup quick cleanup failed: %s", exc)
return
if summary["deleted"] or summary["empty_dirs"]:
dg._log(
f"AUTO_QUICK (session_end): deleted={summary['deleted']} "
f"dirs={summary['empty_dirs']} freed={dg.fmt_size(summary['freed'])}"
)
# ---------------------------------------------------------------------------
# Slash command
# ---------------------------------------------------------------------------
_HELP_TEXT = """\
/disk-cleanup ephemeral-file cleanup
Subcommands:
status Per-category breakdown + top-10 largest
dry-run Preview what quick/deep would delete
quick Run safe cleanup now (no prompts)
deep Run quick, then list items that need prompts
track <path> <category> Manually add a path to tracking
forget <path> Stop tracking a path (does not delete)
Categories: temp | test | research | download | chrome-profile | cron-output | other
All operations are scoped to HERMES_HOME and /tmp/hermes-*.
Test files are auto-tracked on write_file / terminal and auto-cleaned at session end.
"""
def _fmt_summary(summary: Dict[str, Any]) -> str:
base = (
f"[disk-cleanup] Cleaned {summary['deleted']} files + "
f"{summary['empty_dirs']} empty dirs, freed {dg.fmt_size(summary['freed'])}."
)
if summary.get("errors"):
base += f"\n {len(summary['errors'])} error(s); see cleanup.log."
return base
def _handle_slash(raw_args: str) -> Optional[str]:
argv = raw_args.strip().split()
if not argv or argv[0] in ("help", "-h", "--help"):
return _HELP_TEXT
sub = argv[0]
if sub == "status":
return dg.format_status(dg.status())
if sub == "dry-run":
auto, prompt = dg.dry_run()
auto_size = sum(i["size"] for i in auto)
prompt_size = sum(i["size"] for i in prompt)
lines = [
"Dry-run preview (nothing deleted):",
f" Auto-delete : {len(auto)} files ({dg.fmt_size(auto_size)})",
]
for item in auto:
lines.append(f" [{item['category']}] {item['path']}")
lines.append(
f" Needs prompt: {len(prompt)} files ({dg.fmt_size(prompt_size)})"
)
for item in prompt:
lines.append(f" [{item['category']}] {item['path']}")
lines.append(
f"\n Total potential: {dg.fmt_size(auto_size + prompt_size)}"
)
return "\n".join(lines)
if sub == "quick":
return _fmt_summary(dg.quick())
if sub == "deep":
# In-session deep can't prompt the user interactively — show what
# quick cleaned plus the items that WOULD need confirmation.
quick_summary = dg.quick()
_auto, prompt_items = dg.dry_run()
lines = [_fmt_summary(quick_summary)]
if prompt_items:
size = sum(i["size"] for i in prompt_items)
lines.append(
f"\n{len(prompt_items)} item(s) need confirmation "
f"({dg.fmt_size(size)}):"
)
for item in prompt_items:
lines.append(f" [{item['category']}] {item['path']}")
lines.append(
"\nRun `/disk-cleanup forget <path>` to skip, or delete "
"manually via terminal."
)
return "\n".join(lines)
if sub == "track":
if len(argv) < 3:
return "Usage: /disk-cleanup track <path> <category>"
path_arg = argv[1]
category = argv[2]
if category not in dg.ALLOWED_CATEGORIES:
return (
f"Unknown category '{category}'. "
f"Allowed: {sorted(dg.ALLOWED_CATEGORIES)}"
)
if dg.track(path_arg, category, silent=True):
return f"Tracked {path_arg} as '{category}'."
return (
f"Not tracked (already present, missing, or outside HERMES_HOME): "
f"{path_arg}"
)
if sub == "forget":
if len(argv) < 2:
return "Usage: /disk-cleanup forget <path>"
n = dg.forget(argv[1])
return (
f"Removed {n} tracking entr{'y' if n == 1 else 'ies'} for {argv[1]}."
if n else f"Not found in tracking: {argv[1]}"
)
return f"Unknown subcommand: {sub}\n\n{_HELP_TEXT}"
# ---------------------------------------------------------------------------
# Plugin registration
# ---------------------------------------------------------------------------
def register(ctx) -> None:
ctx.register_hook("post_tool_call", _on_post_tool_call)
ctx.register_hook("on_session_end", _on_session_end)
ctx.register_command(
"disk-cleanup",
handler=_handle_slash,
description="Track and clean up ephemeral Hermes session files.",
)
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"""disk_cleanup — ephemeral file cleanup for Hermes Agent.
Library module wrapping the deterministic cleanup rules written by
@LVT382009 in PR #12212. The plugin ``__init__.py`` wires these
functions into ``post_tool_call`` and ``on_session_end`` hooks so
tracking and cleanup happen automatically the agent never needs to
call a tool or remember a skill.
Rules:
- test files delete immediately at task end (age >= 0)
- temp files delete after 7 days
- cron-output delete after 14 days
- empty dirs always delete (under HERMES_HOME)
- research keep 10 newest, prompt for older (deep only)
- chrome-profile prompt after 14 days (deep only)
- >500 MB files prompt always (deep only)
Scope: strictly HERMES_HOME and /tmp/hermes-*
Never touches: ~/.hermes/logs/ or any system directory.
"""
from __future__ import annotations
import json
import logging
import shutil
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
try:
from hermes_constants import get_hermes_home
except Exception: # pragma: no cover — plugin may load before constants resolves
import os
def get_hermes_home() -> Path: # type: ignore[no-redef]
val = (os.environ.get("HERMES_HOME") or "").strip()
return Path(val).resolve() if val else (Path.home() / ".hermes").resolve()
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Paths
# ---------------------------------------------------------------------------
def get_state_dir() -> Path:
"""State dir — separate from ``$HERMES_HOME/logs/``."""
return get_hermes_home() / "disk-cleanup"
def get_tracked_file() -> Path:
return get_state_dir() / "tracked.json"
def get_log_file() -> Path:
"""Audit log — intentionally NOT under ``$HERMES_HOME/logs/``."""
return get_state_dir() / "cleanup.log"
# ---------------------------------------------------------------------------
# Path safety
# ---------------------------------------------------------------------------
def is_safe_path(path: Path) -> bool:
"""Accept only paths under HERMES_HOME or ``/tmp/hermes-*``.
Rejects Windows mounts (``/mnt/c`` etc.) and any system directory.
"""
hermes_home = get_hermes_home()
try:
path.resolve().relative_to(hermes_home)
return True
except (ValueError, OSError):
pass
# Allow /tmp/hermes-* explicitly
parts = path.parts
if len(parts) >= 3 and parts[1] == "tmp" and parts[2].startswith("hermes-"):
return True
return False
# ---------------------------------------------------------------------------
# Audit log
# ---------------------------------------------------------------------------
def _log(message: str) -> None:
try:
log_file = get_log_file()
log_file.parent.mkdir(parents=True, exist_ok=True)
ts = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
with open(log_file, "a") as f:
f.write(f"[{ts}] {message}\n")
except OSError:
# Never let the audit log break the agent loop.
pass
# ---------------------------------------------------------------------------
# tracked.json — atomic read/write, backup scoped to tracked.json only
# ---------------------------------------------------------------------------
def load_tracked() -> List[Dict[str, Any]]:
"""Load tracked.json. Restores from ``.bak`` on corruption."""
tf = get_tracked_file()
tf.parent.mkdir(parents=True, exist_ok=True)
if not tf.exists():
return []
try:
return json.loads(tf.read_text())
except (json.JSONDecodeError, ValueError):
bak = tf.with_suffix(".json.bak")
if bak.exists():
try:
data = json.loads(bak.read_text())
_log("WARN: tracked.json corrupted — restored from .bak")
return data
except Exception:
pass
_log("WARN: tracked.json corrupted, no backup — starting fresh")
return []
def save_tracked(tracked: List[Dict[str, Any]]) -> None:
"""Atomic write: ``.tmp`` → backup old → rename."""
tf = get_tracked_file()
tf.parent.mkdir(parents=True, exist_ok=True)
tmp = tf.with_suffix(".json.tmp")
tmp.write_text(json.dumps(tracked, indent=2))
if tf.exists():
shutil.copy2(tf, tf.with_suffix(".json.bak"))
tmp.replace(tf)
# ---------------------------------------------------------------------------
# Categories
# ---------------------------------------------------------------------------
ALLOWED_CATEGORIES = {
"temp", "test", "research", "download",
"chrome-profile", "cron-output", "other",
}
def fmt_size(n: float) -> str:
for unit in ("B", "KB", "MB", "GB", "TB"):
if n < 1024:
return f"{n:.1f} {unit}"
n /= 1024
return f"{n:.1f} PB"
# ---------------------------------------------------------------------------
# Track / forget
# ---------------------------------------------------------------------------
def track(path_str: str, category: str, silent: bool = False) -> bool:
"""Register a file for tracking. Returns True if newly tracked."""
if category not in ALLOWED_CATEGORIES:
_log(f"WARN: unknown category '{category}', using 'other'")
category = "other"
path = Path(path_str).resolve()
if not path.exists():
_log(f"SKIP: {path} (does not exist)")
return False
if not is_safe_path(path):
_log(f"REJECT: {path} (outside HERMES_HOME)")
return False
size = path.stat().st_size if path.is_file() else 0
tracked = load_tracked()
# Deduplicate
if any(item["path"] == str(path) for item in tracked):
return False
tracked.append({
"path": str(path),
"timestamp": datetime.now(timezone.utc).isoformat(),
"category": category,
"size": size,
})
save_tracked(tracked)
_log(f"TRACKED: {path} ({category}, {fmt_size(size)})")
if not silent:
print(f"Tracked: {path} ({category}, {fmt_size(size)})")
return True
def forget(path_str: str) -> int:
"""Remove a path from tracking without deleting the file."""
p = Path(path_str).resolve()
tracked = load_tracked()
before = len(tracked)
tracked = [i for i in tracked if Path(i["path"]).resolve() != p]
removed = before - len(tracked)
if removed:
save_tracked(tracked)
_log(f"FORGOT: {p} ({removed} entries)")
return removed
# ---------------------------------------------------------------------------
# Dry run
# ---------------------------------------------------------------------------
def dry_run() -> Tuple[List[Dict], List[Dict]]:
"""Return (auto_delete_list, needs_prompt_list) without touching files."""
tracked = load_tracked()
now = datetime.now(timezone.utc)
auto: List[Dict] = []
prompt: List[Dict] = []
for item in tracked:
p = Path(item["path"])
if not p.exists():
continue
age = (now - datetime.fromisoformat(item["timestamp"])).days
cat = item["category"]
size = item["size"]
if cat == "test":
auto.append(item)
elif cat == "temp" and age > 7:
auto.append(item)
elif cat == "cron-output" and age > 14:
auto.append(item)
elif cat == "research" and age > 30:
prompt.append(item)
elif cat == "chrome-profile" and age > 14:
prompt.append(item)
elif size > 500 * 1024 * 1024:
prompt.append(item)
return auto, prompt
# ---------------------------------------------------------------------------
# Quick cleanup
# ---------------------------------------------------------------------------
def quick() -> Dict[str, Any]:
"""Safe deterministic cleanup — no prompts.
Returns: ``{"deleted": N, "empty_dirs": N, "freed": bytes,
"errors": [str, ...]}``.
"""
tracked = load_tracked()
now = datetime.now(timezone.utc)
deleted = 0
freed = 0
new_tracked: List[Dict] = []
errors: List[str] = []
for item in tracked:
p = Path(item["path"])
cat = item["category"]
if not p.exists():
_log(f"STALE: {p} (removed from tracking)")
continue
age = (now - datetime.fromisoformat(item["timestamp"])).days
should_delete = (
cat == "test"
or (cat == "temp" and age > 7)
or (cat == "cron-output" and age > 14)
)
if should_delete:
try:
if p.is_file():
p.unlink()
elif p.is_dir():
shutil.rmtree(p)
freed += item["size"]
deleted += 1
_log(f"DELETED: {p} ({cat}, {fmt_size(item['size'])})")
except OSError as e:
_log(f"ERROR deleting {p}: {e}")
errors.append(f"{p}: {e}")
new_tracked.append(item)
else:
new_tracked.append(item)
# Remove empty dirs under HERMES_HOME (but leave HERMES_HOME itself and
# a short list of well-known top-level state dirs alone — a fresh install
# has these empty, and deleting them would surprise the user).
hermes_home = get_hermes_home()
_PROTECTED_TOP_LEVEL = {
"logs", "memories", "sessions", "cron", "cronjobs",
"cache", "skills", "plugins", "disk-cleanup", "optional-skills",
"hermes-agent", "backups", "profiles", ".worktrees",
}
empty_removed = 0
try:
for dirpath in sorted(hermes_home.rglob("*"), reverse=True):
if not dirpath.is_dir() or dirpath == hermes_home:
continue
try:
rel_parts = dirpath.relative_to(hermes_home).parts
except ValueError:
continue
# Skip the well-known top-level state dirs themselves.
if len(rel_parts) == 1 and rel_parts[0] in _PROTECTED_TOP_LEVEL:
continue
try:
if not any(dirpath.iterdir()):
dirpath.rmdir()
empty_removed += 1
_log(f"DELETED: {dirpath} (empty dir)")
except OSError:
pass
except OSError:
pass
save_tracked(new_tracked)
_log(
f"QUICK_SUMMARY: {deleted} files, {empty_removed} dirs, "
f"{fmt_size(freed)}"
)
return {
"deleted": deleted,
"empty_dirs": empty_removed,
"freed": freed,
"errors": errors,
}
# ---------------------------------------------------------------------------
# Deep cleanup (interactive — not called from plugin hooks)
# ---------------------------------------------------------------------------
def deep(
confirm: Optional[callable] = None,
) -> Dict[str, Any]:
"""Deep cleanup.
Runs :func:`quick` first, then asks the *confirm* callable for each
risky item (research > 30d beyond 10 newest, chrome-profile > 14d,
any file > 500 MB). *confirm(item)* must return True to delete.
Returns: ``{"quick": {...}, "deep_deleted": N, "deep_freed": bytes}``.
"""
quick_result = quick()
if confirm is None:
# No interactive confirmer — deep stops after the quick pass.
return {"quick": quick_result, "deep_deleted": 0, "deep_freed": 0}
tracked = load_tracked()
now = datetime.now(timezone.utc)
research, chrome, large = [], [], []
for item in tracked:
p = Path(item["path"])
if not p.exists():
continue
age = (now - datetime.fromisoformat(item["timestamp"])).days
cat = item["category"]
if cat == "research" and age > 30:
research.append(item)
elif cat == "chrome-profile" and age > 14:
chrome.append(item)
elif item["size"] > 500 * 1024 * 1024:
large.append(item)
research.sort(key=lambda x: x["timestamp"], reverse=True)
old_research = research[10:]
freed, count = 0, 0
to_remove: List[Dict] = []
for group in (old_research, chrome, large):
for item in group:
if confirm(item):
try:
p = Path(item["path"])
if p.is_file():
p.unlink()
elif p.is_dir():
shutil.rmtree(p)
to_remove.append(item)
freed += item["size"]
count += 1
_log(
f"DELETED: {p} ({item['category']}, "
f"{fmt_size(item['size'])})"
)
except OSError as e:
_log(f"ERROR deleting {item['path']}: {e}")
if to_remove:
remove_paths = {i["path"] for i in to_remove}
save_tracked([i for i in tracked if i["path"] not in remove_paths])
return {"quick": quick_result, "deep_deleted": count, "deep_freed": freed}
# ---------------------------------------------------------------------------
# Status
# ---------------------------------------------------------------------------
def status() -> Dict[str, Any]:
"""Return per-category breakdown and top 10 largest tracked files."""
tracked = load_tracked()
cats: Dict[str, Dict] = {}
for item in tracked:
c = item["category"]
cats.setdefault(c, {"count": 0, "size": 0})
cats[c]["count"] += 1
cats[c]["size"] += item["size"]
existing = [
(i["path"], i["size"], i["category"])
for i in tracked if Path(i["path"]).exists()
]
existing.sort(key=lambda x: x[1], reverse=True)
return {
"categories": cats,
"top10": existing[:10],
"total_tracked": len(tracked),
}
def format_status(s: Dict[str, Any]) -> str:
"""Human-readable status string (for slash command output)."""
lines = [f"{'Category':<20} {'Files':>6} {'Size':>10}", "-" * 40]
cats = s["categories"]
for cat, d in sorted(cats.items(), key=lambda x: x[1]["size"], reverse=True):
lines.append(f"{cat:<20} {d['count']:>6} {fmt_size(d['size']):>10}")
if not cats:
lines.append("(nothing tracked yet)")
lines.append("")
lines.append("Top 10 largest tracked files:")
if not s["top10"]:
lines.append(" (none)")
else:
for rank, (path, size, cat) in enumerate(s["top10"], 1):
lines.append(f" {rank:>2}. {fmt_size(size):>8} [{cat}] {path}")
return "\n".join(lines)
# ---------------------------------------------------------------------------
# Auto-categorisation from tool-call inspection
# ---------------------------------------------------------------------------
_TEST_PATTERNS = ("test_", "tmp_")
_TEST_SUFFIXES = (".test.py", ".test.js", ".test.ts", ".test.md")
def guess_category(path: Path) -> Optional[str]:
"""Return a category label for *path*, or None if we shouldn't track it.
Used by the ``post_tool_call`` hook to auto-track ephemeral files.
"""
if not is_safe_path(path):
return None
# Skip the state dir itself, logs, memory files, sessions, config.
hermes_home = get_hermes_home()
try:
rel = path.resolve().relative_to(hermes_home)
top = rel.parts[0] if rel.parts else ""
if top in {
"disk-cleanup", "logs", "memories", "sessions", "config.yaml",
"skills", "plugins", ".env", "USER.md", "MEMORY.md", "SOUL.md",
"auth.json", "hermes-agent",
}:
return None
if top == "cron" or top == "cronjobs":
return "cron-output"
if top == "cache":
return "temp"
except ValueError:
# Path isn't under HERMES_HOME (e.g. /tmp/hermes-*) — fall through.
pass
name = path.name
if name.startswith(_TEST_PATTERNS):
return "test"
if any(name.endswith(sfx) for sfx in _TEST_SUFFIXES):
return "test"
return None

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