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Author SHA1 Message Date
alt-glitch e5492dc002 chore(docs): remove stale documentation files
Remove outdated docs that no longer reflect the current architecture:
ACP setup guide, Honcho integration spec, OpenClaw migration notes,
pricing architecture design, ink-gateway TUI migration plan,
example skin config, and container CLI review fixes.
2026-04-20 01:34:30 +05:30
518 changed files with 6584 additions and 49327 deletions
-8
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@@ -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
+2 -15
View File
@@ -3,13 +3,8 @@ name: Docker Build and Publish
on:
push:
branches: [main]
paths:
- '**/*.py'
- 'pyproject.toml'
- 'uv.lock'
- 'Dockerfile'
- 'docker/**'
- '.github/workflows/docker-publish.yml'
pull_request:
branches: [main]
release:
types: [published]
@@ -54,14 +49,6 @@ jobs:
- name: Test image starts
run: |
# The image runs as the hermes user (UID 10000). GitHub Actions
# creates /tmp/hermes-test root-owned by default, which hermes
# can't write to — chown it to match the in-container UID before
# bind-mounting. Real users doing `docker run -v ~/.hermes:...`
# with their own UID hit the same issue and have their own
# remediations (HERMES_UID env var, or chown locally).
mkdir -p /tmp/hermes-test
sudo chown -R 10000:10000 /tmp/hermes-test
docker run --rm \
-v /tmp/hermes-test:/opt/data \
--entrypoint /opt/hermes/docker/entrypoint.sh \
-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
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@@ -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
+146 -37
View File
@@ -3,31 +3,14 @@ name: Supply Chain Audit
on:
pull_request:
types: [opened, synchronize, reopened]
paths:
- '**/*.py'
- '**/*.pth'
- '**/setup.py'
- '**/setup.cfg'
- '**/sitecustomize.py'
- '**/usercustomize.py'
- '**/__init__.pth'
permissions:
pull-requests: write
contents: read
# Narrow, high-signal scanner. Only fires on critical indicators of supply
# chain attacks (e.g. the litellm-style payloads). Low-signal heuristics
# (plain base64, plain exec/eval, dependency/Dockerfile/workflow edits,
# Actions version unpinning, outbound POST/PUT) were intentionally
# removed — they fired on nearly every PR and trained reviewers to ignore
# the scanner. Keep this file's checks ruthlessly narrow: if you find
# yourself adding WARNING-tier patterns here again, make a separate
# advisory-only workflow instead.
jobs:
scan:
name: Scan PR for critical supply chain risks
name: Scan PR for supply chain risks
runs-on: ubuntu-latest
steps:
- name: Checkout
@@ -35,7 +18,7 @@ jobs:
with:
fetch-depth: 0
- name: Scan diff for critical patterns
- name: Scan diff for suspicious patterns
id: scan
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
@@ -45,19 +28,19 @@ jobs:
BASE="${{ github.event.pull_request.base.sha }}"
HEAD="${{ github.event.pull_request.head.sha }}"
# Added lines only, excluding lockfiles.
# Get the full diff (added lines only)
DIFF=$(git diff "$BASE".."$HEAD" -- . ':!uv.lock' ':!*.lock' ':!package-lock.json' ':!yarn.lock' || true)
FINDINGS=""
CRITICAL=false
# --- .pth files (auto-execute on Python startup) ---
# The exact mechanism used in the litellm supply chain attack:
# https://github.com/BerriAI/litellm/issues/24512
PTH_FILES=$(git diff --name-only "$BASE".."$HEAD" | grep '\.pth$' || true)
if [ -n "$PTH_FILES" ]; then
CRITICAL=true
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: .pth file added or modified
Python \`.pth\` files in \`site-packages/\` execute automatically when the interpreter starts — no import required.
Python \`.pth\` files in \`site-packages/\` execute automatically when the interpreter starts — no import required. This is the exact mechanism used in the [litellm supply chain attack](https://github.com/BerriAI/litellm/issues/24512).
**Files:**
\`\`\`
@@ -66,12 +49,13 @@ jobs:
"
fi
# --- base64 decode + exec/eval on the same line (the litellm attack pattern) ---
# --- base64 + exec/eval combo (the litellm attack pattern) ---
B64_EXEC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'base64\.(b64decode|decodebytes|urlsafe_b64decode)' | grep -iE 'exec\(|eval\(' | head -10 || true)
if [ -n "$B64_EXEC_HITS" ]; then
CRITICAL=true
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: base64 decode + exec/eval combo
Base64-decoded strings passed directly to exec/eval — the signature of hidden credential-stealing payloads.
This is the exact pattern used in the [litellm supply chain attack](https://github.com/BerriAI/litellm/issues/24512) — base64-decoded strings passed to exec/eval to hide credential-stealing payloads.
**Matches:**
\`\`\`
@@ -80,12 +64,41 @@ jobs:
"
fi
# --- subprocess with encoded/obfuscated command argument ---
PROC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -E 'subprocess\.(Popen|call|run)\s*\(' | grep -iE 'base64|\\x[0-9a-f]{2}|chr\(' | head -10 || true)
# --- base64 decode/encode (alone — legitimate uses exist) ---
B64_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'base64\.(b64decode|b64encode|decodebytes|encodebytes|urlsafe_b64decode)|atob\(|btoa\(|Buffer\.from\(.*base64' | head -20 || true)
if [ -n "$B64_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: base64 encoding/decoding detected
Base64 has legitimate uses (images, JWT, etc.) but is also commonly used to obfuscate malicious payloads. Verify the usage is appropriate.
**Matches (first 20):**
\`\`\`
${B64_HITS}
\`\`\`
"
fi
# --- exec/eval with string arguments ---
EXEC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -E '(exec|eval)\s*\(' | grep -v '^\+\s*#' | grep -v 'test_\|mock\|assert\|# ' | head -20 || true)
if [ -n "$EXEC_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: exec() or eval() usage
Dynamic code execution can hide malicious behavior, especially when combined with base64 or network fetches.
**Matches (first 20):**
\`\`\`
${EXEC_HITS}
\`\`\`
"
fi
# --- subprocess with encoded/obfuscated commands ---
PROC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -E 'subprocess\.(Popen|call|run)\s*\(' | grep -iE 'base64|decode|encode|\\x|chr\(' | head -10 || true)
if [ -n "$PROC_HITS" ]; then
CRITICAL=true
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: subprocess with encoded/obfuscated command
Subprocess calls whose command strings are base64- or hex-encoded are a strong indicator of payload execution.
Subprocess calls with encoded arguments are a strong indicator of payload execution.
**Matches:**
\`\`\`
@@ -94,12 +107,25 @@ jobs:
"
fi
# --- Install-hook files (setup.py/sitecustomize/usercustomize/__init__.pth) ---
# These execute during pip install or interpreter startup.
SETUP_HITS=$(git diff --name-only "$BASE".."$HEAD" | grep -E '(^|/)(setup\.py|setup\.cfg|sitecustomize\.py|usercustomize\.py|__init__\.pth)$' || true)
# --- Network calls to non-standard domains ---
EXFIL_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'requests\.(post|put)\(|httpx\.(post|put)\(|urllib\.request\.urlopen' | grep -v '^\+\s*#' | grep -v 'test_\|mock\|assert' | head -10 || true)
if [ -n "$EXFIL_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: Outbound network calls (POST/PUT)
Outbound POST/PUT requests in new code could be data exfiltration. Verify the destination URLs are legitimate.
**Matches (first 10):**
\`\`\`
${EXFIL_HITS}
\`\`\`
"
fi
# --- setup.py / setup.cfg install hooks ---
SETUP_HITS=$(git diff --name-only "$BASE".."$HEAD" | grep -E '(setup\.py|setup\.cfg|__init__\.pth|sitecustomize\.py|usercustomize\.py)$' || true)
if [ -n "$SETUP_HITS" ]; then
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: Install-hook file added or modified
### ⚠️ WARNING: Install hook files modified
These files can execute code during package installation or interpreter startup.
**Files:**
@@ -109,31 +135,114 @@ jobs:
"
fi
# --- Compile/marshal/pickle (code object injection) ---
MARSHAL_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'marshal\.loads|pickle\.loads|compile\(' | grep -v '^\+\s*#' | grep -v 'test_\|re\.compile\|ast\.compile' | head -10 || true)
if [ -n "$MARSHAL_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: marshal/pickle/compile usage
These can deserialize or construct executable code objects.
**Matches:**
\`\`\`
${MARSHAL_HITS}
\`\`\`
"
fi
# --- CI/CD workflow files modified ---
WORKFLOW_HITS=$(git diff --name-only "$BASE".."$HEAD" | grep -E '\.github/workflows/.*\.ya?ml$' || true)
if [ -n "$WORKFLOW_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: CI/CD workflow files modified
Changes to workflow files can alter build pipelines, inject steps, or modify permissions. Verify no unauthorized actions or secrets access were added.
**Files:**
\`\`\`
${WORKFLOW_HITS}
\`\`\`
"
fi
# --- Dockerfile / container build files modified ---
DOCKER_HITS=$(git diff --name-only "$BASE".."$HEAD" | grep -iE '(Dockerfile|\.dockerignore|docker-compose)' || true)
if [ -n "$DOCKER_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: Container build files modified
Changes to Dockerfiles or compose files can alter base images, add build steps, or expose ports. Verify base image pins and build commands.
**Files:**
\`\`\`
${DOCKER_HITS}
\`\`\`
"
fi
# --- Dependency manifest files modified ---
DEP_HITS=$(git diff --name-only "$BASE".."$HEAD" | grep -E '(pyproject\.toml|requirements.*\.txt|package\.json|Gemfile|go\.mod|Cargo\.toml)$' || true)
if [ -n "$DEP_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: Dependency manifest files modified
Changes to dependency files can introduce new packages or change version pins. Verify all dependency changes are intentional and from trusted sources.
**Files:**
\`\`\`
${DEP_HITS}
\`\`\`
"
fi
# --- GitHub Actions version unpinning (mutable tags instead of SHAs) ---
ACTIONS_UNPIN=$(echo "$DIFF" | grep -n '^\+' | grep 'uses:' | grep -v '#' | grep -E '@v[0-9]' | head -10 || true)
if [ -n "$ACTIONS_UNPIN" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: GitHub Actions with mutable version tags
Actions should be pinned to full commit SHAs (not \`@v4\`, \`@v5\`). Mutable tags can be retargeted silently if a maintainer account is compromised.
**Matches:**
\`\`\`
${ACTIONS_UNPIN}
\`\`\`
"
fi
# --- Output results ---
if [ -n "$FINDINGS" ]; then
echo "found=true" >> "$GITHUB_OUTPUT"
if [ "$CRITICAL" = true ]; then
echo "critical=true" >> "$GITHUB_OUTPUT"
else
echo "critical=false" >> "$GITHUB_OUTPUT"
fi
# Write findings to a file (multiline env vars are fragile)
echo "$FINDINGS" > /tmp/findings.md
else
echo "found=false" >> "$GITHUB_OUTPUT"
echo "critical=false" >> "$GITHUB_OUTPUT"
fi
- name: Post critical finding comment
- name: Post warning comment
if: steps.scan.outputs.found == 'true'
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
BODY="## 🚨 CRITICAL Supply Chain Risk Detected
SEVERITY="⚠️ Supply Chain Risk Detected"
if [ "${{ steps.scan.outputs.critical }}" = "true" ]; then
SEVERITY="🚨 CRITICAL Supply Chain Risk Detected"
fi
This PR contains a pattern that has been used in real supply chain attacks. A maintainer must review the flagged code carefully before merging.
BODY="## ${SEVERITY}
This PR contains patterns commonly associated with supply chain attacks. This does **not** mean the PR is malicious — but these patterns require careful human review before merging.
$(cat /tmp/findings.md)
---
*Scanner only fires on high-signal indicators: .pth files, base64+exec/eval combos, subprocess with encoded commands, or install-hook files. Low-signal warnings were removed intentionally — if you're seeing this comment, the finding is worth inspecting.*"
*Automated scan triggered by [supply-chain-audit](/.github/workflows/supply-chain-audit.yml). If this is a false positive, a maintainer can approve after manual review.*"
gh pr comment "${{ github.event.pull_request.number }}" --body "$BODY" || echo "::warning::Could not post PR comment (expected for fork PRs — GITHUB_TOKEN is read-only)"
- name: Fail on critical findings
if: steps.scan.outputs.found == 'true'
if: steps.scan.outputs.critical == 'true'
run: |
echo "::error::CRITICAL supply chain risk patterns detected in this PR. See the PR comment for details."
exit 1
+1 -7
View File
@@ -3,14 +3,8 @@ name: Tests
on:
push:
branches: [main]
paths-ignore:
- '**/*.md'
- 'docs/**'
pull_request:
branches: [main]
paths-ignore:
- '**/*.md'
- 'docs/**'
permissions:
contents: read
@@ -23,7 +17,7 @@ concurrency:
jobs:
test:
runs-on: ubuntu-latest
timeout-minutes: 20
timeout-minutes: 10
steps:
- name: Checkout code
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
-5
View File
@@ -54,11 +54,6 @@ environments/benchmarks/evals/
# Web UI build output
hermes_cli/web_dist/
# Web UI assets — synced from @nous-research/ui at build time via
# `npm run sync-assets` (see web/package.json).
web/public/fonts/
web/public/ds-assets/
# Release script temp files
.release_notes.md
mini-swe-agent/
-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
-41
View File
@@ -20,46 +20,6 @@ from pathlib import Path
from hermes_constants import get_hermes_home
# Methods clients send as periodic liveness probes. They are not part of the
# ACP schema, so the acp router correctly returns JSON-RPC -32601 to the
# caller — but the supervisor task that dispatches the request then surfaces
# the raised RequestError via ``logging.exception("Background task failed")``,
# which dumps a traceback to stderr every probe interval. Clients like
# acp-bridge already treat the -32601 response as "agent alive", so the
# traceback is pure noise. We keep the protocol response intact and only
# silence the stderr noise for this specific benign case.
_BENIGN_PROBE_METHODS = frozenset({"ping", "health", "healthcheck"})
class _BenignProbeMethodFilter(logging.Filter):
"""Suppress acp 'Background task failed' tracebacks caused by unknown
liveness-probe methods (e.g. ``ping``) while leaving every other
background-task error — including method_not_found for any non-probe
method — visible in stderr.
"""
def filter(self, record: logging.LogRecord) -> bool:
if record.getMessage() != "Background task failed":
return True
exc_info = record.exc_info
if not exc_info:
return True
exc = exc_info[1]
# Imported lazily so this module stays importable when the optional
# ``agent-client-protocol`` dependency is not installed.
try:
from acp.exceptions import RequestError
except ImportError:
return True
if not isinstance(exc, RequestError):
return True
if getattr(exc, "code", None) != -32601:
return True
data = getattr(exc, "data", None)
method = data.get("method") if isinstance(data, dict) else None
return method not in _BENIGN_PROBE_METHODS
def _setup_logging() -> None:
"""Route all logging to stderr so stdout stays clean for ACP stdio."""
handler = logging.StreamHandler(sys.stderr)
@@ -69,7 +29,6 @@ def _setup_logging() -> None:
datefmt="%Y-%m-%d %H:%M:%S",
)
)
handler.addFilter(_BenignProbeMethodFilter())
root = logging.getLogger()
root.handlers.clear()
root.addHandler(handler)
-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
+2 -52
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
@@ -293,15 +292,9 @@ def _common_betas_for_base_url(base_url: str | None) -> list[str]:
return _COMMON_BETAS
def build_anthropic_client(api_key: str, base_url: str = None, timeout: float = None):
def build_anthropic_client(api_key: str, base_url: str = None):
"""Create an Anthropic client, auto-detecting setup-tokens vs API keys.
If *timeout* is provided it overrides the default 900s read timeout. The
connect timeout stays at 10s. Callers pass this from the per-provider /
per-model ``request_timeout_seconds`` config so Anthropic-native and
Anthropic-compatible providers respect the same knob as OpenAI-wire
providers.
Returns an anthropic.Anthropic instance.
"""
if _anthropic_sdk is None:
@@ -309,15 +302,11 @@ 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)
_read_timeout = timeout if (isinstance(timeout, (int, float)) and timeout > 0) else 900.0
kwargs = {
"timeout": Timeout(timeout=float(_read_timeout), connect=10.0),
"timeout": Timeout(timeout=900.0, connect=10.0),
}
if normalized_base_url:
kwargs["base_url"] = normalized_base_url
@@ -1529,42 +1518,3 @@ 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,
)
+106 -397
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 +95,51 @@ 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"
def _fixed_temperature_for_model(model: Optional[str]) -> Optional[float]:
"""Return a required temperature override for models with strict contracts.
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.
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.
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.
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()
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
bare = normalized.rsplit("/", 1)[-1]
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)
@@ -161,16 +174,6 @@ _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.
@@ -197,45 +200,6 @@ _CODEX_AUX_MODEL = "gpt-5.2-codex"
_CODEX_AUX_BASE_URL = "https://chatgpt.com/backend-api/codex"
def _codex_cloudflare_headers(access_token: str) -> Dict[str, str]:
"""Headers required to avoid Cloudflare 403s on chatgpt.com/backend-api/codex.
The Cloudflare layer in front of the Codex endpoint whitelists a small set of
first-party originators (``codex_cli_rs``, ``codex_vscode``, ``codex_sdk_ts``,
anything starting with ``Codex``). Requests from non-residential IPs (VPS,
server-hosted agents) that don't advertise an allowed originator are served
a 403 with ``cf-mitigated: challenge`` regardless of auth correctness.
We pin ``originator: codex_cli_rs`` to match the upstream codex-rs CLI, set
``User-Agent`` to a codex_cli_rs-shaped string (beats SDK fingerprinting),
and extract ``ChatGPT-Account-ID`` (canonical casing, from codex-rs
``auth.rs``) out of the OAuth JWT's ``chatgpt_account_id`` claim.
Malformed tokens are tolerated — we drop the account-ID header rather than
raise, so a bad token still surfaces as an auth error (401) instead of a
crash at client construction.
"""
headers = {
"User-Agent": "codex_cli_rs/0.0.0 (Hermes Agent)",
"originator": "codex_cli_rs",
}
if not isinstance(access_token, str) or not access_token.strip():
return headers
try:
import base64
parts = access_token.split(".")
if len(parts) < 2:
return headers
payload_b64 = parts[1] + "=" * (-len(parts[1]) % 4)
claims = json.loads(base64.urlsafe_b64decode(payload_b64))
acct_id = claims.get("https://api.openai.com/auth", {}).get("chatgpt_account_id")
if isinstance(acct_id, str) and acct_id:
headers["ChatGPT-Account-ID"] = acct_id
except Exception:
pass
return headers
def _to_openai_base_url(base_url: str) -> str:
"""Normalize an Anthropic-style base URL to OpenAI-compatible format.
@@ -728,33 +692,6 @@ 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.
@@ -838,15 +775,10 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
if model is None:
continue # skip provider if we don't know a valid aux model
logger.debug("Auxiliary text client: %s (%s) via pool", pconfig.name, model)
if provider_id == "gemini":
from agent.gemini_native_adapter import GeminiNativeClient, is_native_gemini_base_url
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"):
if "api.kimi.com" in base_url.lower():
extra["default_headers"] = {"User-Agent": "KimiCLI/1.30.0"}
elif base_url_host_matches(base_url, "api.githubcopilot.com"):
elif "api.githubcopilot.com" in base_url.lower():
from hermes_cli.models import copilot_default_headers
extra["default_headers"] = copilot_default_headers()
@@ -864,15 +796,10 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
if model is None:
continue # skip provider if we don't know a valid aux model
logger.debug("Auxiliary text client: %s (%s)", pconfig.name, model)
if provider_id == "gemini":
from agent.gemini_native_adapter import GeminiNativeClient, is_native_gemini_base_url
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"):
if "api.kimi.com" in base_url.lower():
extra["default_headers"] = {"User-Agent": "KimiCLI/1.30.0"}
elif base_url_host_matches(base_url, "api.githubcopilot.com"):
elif "api.githubcopilot.com" in base_url.lower():
from hermes_cli.models import copilot_default_headers
extra["default_headers"] = copilot_default_headers()
@@ -921,8 +848,7 @@ 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
@@ -933,8 +859,6 @@ def _try_nous(vision: bool = False) -> Tuple[Optional[OpenAI], Optional[str]]:
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.
# Paid accounts keep their tier-appropriate models: gemini-3-flash-preview
# for both text and vision tasks.
try:
from hermes_cli.models import check_nous_free_tier
if check_nous_free_tier():
@@ -943,15 +867,10 @@ def _try_nous(vision: bool = False) -> Tuple[Optional[OpenAI], Optional[str]]:
model, "vision" if vision else "text")
except Exception:
pass
if runtime is not None:
api_key, base_url = runtime
else:
api_key = _nous_api_key(nous or {})
base_url = str((nous or {}).get("inference_base_url") or _nous_base_url()).rstrip("/")
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,
)
@@ -1029,7 +948,7 @@ 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
@@ -1063,8 +982,6 @@ 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()
@@ -1099,7 +1016,7 @@ def _validate_base_url(base_url: str) -> None:
) from exc
def _try_custom_endpoint() -> Tuple[Optional[Any], Optional[str]]:
def _try_custom_endpoint() -> Tuple[Optional[OpenAI], Optional[str]]:
runtime = _resolve_custom_runtime()
if len(runtime) == 2:
custom_base, custom_key = runtime
@@ -1115,23 +1032,6 @@ def _try_custom_endpoint() -> Tuple[Optional[Any], Optional[str]]:
if custom_mode == "codex_responses":
real_client = OpenAI(api_key=custom_key, base_url=custom_base)
return CodexAuxiliaryClient(real_client, model), model
if custom_mode == "anthropic_messages":
# Third-party Anthropic-compatible gateway (MiniMax, Zhipu GLM,
# LiteLLM proxies, etc.). Must NEVER be treated as OAuth —
# Anthropic OAuth claims only apply to api.anthropic.com.
try:
from agent.anthropic_adapter import build_anthropic_client
real_client = build_anthropic_client(custom_key, custom_base)
except ImportError:
logger.warning(
"Custom endpoint declares api_mode=anthropic_messages but the "
"anthropic SDK is not installed — falling back to OpenAI-wire."
)
return OpenAI(api_key=custom_key, base_url=custom_base), model
return (
AnthropicAuxiliaryClient(real_client, model, custom_key, custom_base, is_oauth=False),
model,
)
return OpenAI(api_key=custom_key, base_url=custom_base), model
@@ -1152,11 +1052,7 @@ def _try_codex() -> Tuple[Optional[Any], Optional[str]]:
return None, None
base_url = _CODEX_AUX_BASE_URL
logger.debug("Auxiliary client: Codex OAuth (%s via Responses API)", _CODEX_AUX_MODEL)
real_client = OpenAI(
api_key=codex_token,
base_url=base_url,
default_headers=_codex_cloudflare_headers(codex_token),
)
real_client = OpenAI(api_key=codex_token, base_url=base_url)
return CodexAuxiliaryClient(real_client, _CODEX_AUX_MODEL), _CODEX_AUX_MODEL
@@ -1295,15 +1191,6 @@ 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,
@@ -1461,13 +1348,6 @@ def _to_async_client(sync_client, model: str):
return AsyncCodexAuxiliaryClient(sync_client), model
if isinstance(sync_client, AnthropicAuxiliaryClient):
return AsyncAnthropicAuxiliaryClient(sync_client), model
try:
from agent.gemini_native_adapter import GeminiNativeClient, AsyncGeminiNativeClient
if isinstance(sync_client, GeminiNativeClient):
return AsyncGeminiNativeClient(sync_client), model
except ImportError:
pass
try:
from agent.copilot_acp_client import CopilotACPClient
if isinstance(sync_client, CopilotACPClient):
@@ -1479,14 +1359,14 @@ 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"):
elif "api.kimi.com" in base_lower:
async_kwargs["default_headers"] = {"User-Agent": "KimiCLI/1.30.0"}
return AsyncOpenAI(**async_kwargs), model
@@ -1563,7 +1443,8 @@ 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
@@ -1611,13 +1492,7 @@ 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)")
@@ -1637,11 +1512,7 @@ def resolve_provider_client(
"but no Codex OAuth token found (run: hermes model)")
return None, None
final_model = _normalize_resolved_model(model or _CODEX_AUX_MODEL, provider)
raw_client = OpenAI(
api_key=codex_token,
base_url=_CODEX_AUX_BASE_URL,
default_headers=_codex_cloudflare_headers(codex_token),
)
raw_client = OpenAI(api_key=codex_token, base_url=_CODEX_AUX_BASE_URL)
return (raw_client, final_model)
# Standard path: wrap in CodexAuxiliaryClient adapter
client, default = _try_codex()
@@ -1673,9 +1544,9 @@ def resolve_provider_client(
provider,
)
extra = {}
if base_url_host_matches(custom_base, "api.kimi.com"):
if "api.kimi.com" in custom_base.lower():
extra["default_headers"] = {"User-Agent": "KimiCLI/1.30.0"}
elif base_url_host_matches(custom_base, "api.githubcopilot.com"):
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)
@@ -1769,20 +1640,11 @@ def resolve_provider_client(
default_model = _API_KEY_PROVIDER_AUX_MODELS.get(provider, "")
final_model = _normalize_resolved_model(model or default_model, provider)
if provider == "gemini":
from agent.gemini_native_adapter import GeminiNativeClient, is_native_gemini_base_url
if is_native_gemini_base_url(base_url):
client = GeminiNativeClient(api_key=api_key, base_url=base_url)
logger.debug("resolve_provider_client: %s (%s)", provider, final_model)
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
# Provider-specific headers
headers = {}
if base_url_host_matches(base_url, "api.kimi.com"):
if "api.kimi.com" in base_url.lower():
headers["User-Agent"] = "KimiCLI/1.30.0"
elif base_url_host_matches(base_url, "api.githubcopilot.com"):
elif "api.githubcopilot.com" in base_url.lower():
from hermes_cli.models import copilot_default_headers
headers.update(copilot_default_headers())
@@ -2013,35 +1875,24 @@ 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.
@@ -2088,7 +1939,7 @@ 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}
@@ -2116,76 +1967,6 @@ _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.
@@ -2287,7 +2068,7 @@ 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
@@ -2339,14 +2120,8 @@ 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]
@@ -2415,6 +2190,7 @@ def _resolve_task_provider_model(
to "custom" and the task uses that direct endpoint. api_mode is one of
"chat_completions", "codex_responses", or None (auto-detect).
"""
config = {}
cfg_provider = None
cfg_model = None
cfg_base_url = None
@@ -2422,7 +2198,16 @@ def _resolve_task_provider_model(
cfg_api_mode = None
if task:
task_config = _get_auxiliary_task_config(task)
try:
from hermes_cli.config import load_config
config = load_config()
except ImportError:
config = {}
aux = config.get("auxiliary", {}) if isinstance(config, dict) else {}
task_config = aux.get(task, {}) if isinstance(aux, dict) else {}
if not isinstance(task_config, dict):
task_config = {}
cfg_provider = str(task_config.get("provider", "")).strip() or None
cfg_model = str(task_config.get("model", "")).strip() or None
cfg_base_url = str(task_config.get("base_url", "")).strip() or None
@@ -2452,25 +2237,17 @@ def _resolve_task_provider_model(
_DEFAULT_AUX_TIMEOUT = 30.0
def _get_auxiliary_task_config(task: str) -> Dict[str, Any]:
"""Return the config dict for auxiliary.<task>, or {} when unavailable."""
if not task:
return {}
try:
from hermes_cli.config import load_config
config = load_config()
except ImportError:
return {}
aux = config.get("auxiliary", {}) if isinstance(config, dict) else {}
task_config = aux.get(task, {}) if isinstance(aux, dict) else {}
return task_config if isinstance(task_config, dict) else {}
def _get_task_timeout(task: str, default: float = _DEFAULT_AUX_TIMEOUT) -> float:
"""Read timeout from auxiliary.{task}.timeout in config, falling back to *default*."""
if not task:
return default
task_config = _get_auxiliary_task_config(task)
try:
from hermes_cli.config import load_config
config = load_config()
except ImportError:
return default
aux = config.get("auxiliary", {}) if isinstance(config, dict) else {}
task_config = aux.get(task, {}) if isinstance(aux, dict) else {}
raw = task_config.get("timeout")
if raw is not None:
try:
@@ -2480,15 +2257,6 @@ def _get_task_timeout(task: str, default: float = _DEFAULT_AUX_TIMEOUT) -> float
return default
def _get_task_extra_body(task: str) -> Dict[str, Any]:
"""Read auxiliary.<task>.extra_body and return a shallow copy when valid."""
task_config = _get_auxiliary_task_config(task)
raw = task_config.get("extra_body")
if isinstance(raw, dict):
return dict(raw)
return {}
# ---------------------------------------------------------------------------
# Anthropic-compatible endpoint detection + image block conversion
# ---------------------------------------------------------------------------
@@ -2576,10 +2344,8 @@ def _build_call_kwargs(
"timeout": timeout,
}
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:
fixed_temperature = _fixed_temperature_for_model(model)
if fixed_temperature is not None:
temperature = fixed_temperature
# Opus 4.7+ rejects any non-default temperature/top_p/top_k — silently
@@ -2599,7 +2365,7 @@ 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
@@ -2691,8 +2457,6 @@ def call_llm(
"""
resolved_provider, resolved_model, resolved_base_url, resolved_api_key, resolved_api_mode = _resolve_task_provider_model(
task, provider, model, base_url, api_key)
effective_extra_body = _get_task_extra_body(task)
effective_extra_body.update(extra_body or {})
if task == "vision":
effective_provider, client, final_model = resolve_vision_provider_client(
@@ -2761,14 +2525,11 @@ def call_llm(
task, resolved_provider or "auto", final_model or "default",
f" at {_base_info}" if _base_info and "openrouter" not in _base_info else "")
# Pass the client's actual base_url (not just resolved_base_url) so
# endpoint-specific temperature overrides can distinguish
# api.moonshot.ai vs api.kimi.com/coding even on auto-detected routes.
kwargs = _build_call_kwargs(
resolved_provider, final_model, messages,
temperature=temperature, max_tokens=max_tokens,
tools=tools, timeout=effective_timeout, extra_body=effective_extra_body,
base_url=_base_info or resolved_base_url)
tools=tools, timeout=effective_timeout, extra_body=extra_body,
base_url=resolved_base_url)
# Convert image blocks for Anthropic-compatible endpoints (e.g. MiniMax)
_client_base = str(getattr(client, "base_url", "") or "")
@@ -2794,29 +2555,6 @@ 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
@@ -2845,8 +2583,7 @@ def call_llm(
fb_label, fb_model, messages,
temperature=temperature, max_tokens=max_tokens,
tools=tools, timeout=effective_timeout,
extra_body=effective_extra_body,
base_url=str(getattr(fb_client, "base_url", "") or ""))
extra_body=extra_body)
return _validate_llm_response(
fb_client.chat.completions.create(**fb_kwargs), task)
raise
@@ -2928,8 +2665,6 @@ async def async_call_llm(
"""
resolved_provider, resolved_model, resolved_base_url, resolved_api_key, resolved_api_mode = _resolve_task_provider_model(
task, provider, model, base_url, api_key)
effective_extra_body = _get_task_extra_body(task)
effective_extra_body.update(extra_body or {})
if task == "vision":
effective_provider, client, final_model = resolve_vision_provider_client(
@@ -2983,17 +2718,14 @@ async def async_call_llm(
effective_timeout = timeout if timeout is not None else _get_task_timeout(task)
# Pass the client's actual base_url (not just resolved_base_url) so
# endpoint-specific temperature overrides can distinguish
# api.moonshot.ai vs api.kimi.com/coding even on auto-detected routes.
_client_base = str(getattr(client, "base_url", "") or "")
kwargs = _build_call_kwargs(
resolved_provider, final_model, messages,
temperature=temperature, max_tokens=max_tokens,
tools=tools, timeout=effective_timeout, extra_body=effective_extra_body,
base_url=_client_base or resolved_base_url)
tools=tools, timeout=effective_timeout, extra_body=extra_body,
base_url=resolved_base_url)
# Convert image blocks for Anthropic-compatible endpoints (e.g. MiniMax)
_client_base = str(getattr(client, "base_url", "") or "")
if _is_anthropic_compat_endpoint(resolved_provider, _client_base):
kwargs["messages"] = _convert_openai_images_to_anthropic(kwargs["messages"])
@@ -3015,28 +2747,6 @@ 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)
@@ -3051,8 +2761,7 @@ async def async_call_llm(
fb_label, fb_model, messages,
temperature=temperature, max_tokens=max_tokens,
tools=tools, timeout=effective_timeout,
extra_body=effective_extra_body,
base_url=str(getattr(fb_client, "base_url", "") or ""))
extra_body=extra_body)
# Convert sync fallback client to async
async_fb, async_fb_model = _to_async_client(fb_client, fb_model or "")
if async_fb_model and async_fb_model != fb_kwargs.get("model"):
-813
View File
@@ -1,813 +0,0 @@
"""Codex Responses API adapter.
Pure format-conversion and normalization logic for the OpenAI Responses API
(used by OpenAI Codex, xAI, GitHub Models, and other Responses-compatible endpoints).
Extracted from run_agent.py to isolate Responses API-specific logic from the
core agent loop. All functions are stateless — they operate on the data passed
in and return transformed results.
"""
from __future__ import annotations
import hashlib
import json
import logging
import re
import uuid
from types import SimpleNamespace
from typing import Any, Dict, List, Optional
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.
Used as a fallback when the API doesn't provide a call_id.
Deterministic IDs prevent cache invalidation — random UUIDs would
make every API call's prefix unique, breaking OpenAI's prompt cache.
"""
seed = f"{fn_name}:{arguments}:{index}"
digest = hashlib.sha256(seed.encode("utf-8", errors="replace")).hexdigest()[:12]
return f"call_{digest}"
def _split_responses_tool_id(raw_id: Any) -> tuple[Optional[str], Optional[str]]:
"""Split a stored tool id into (call_id, response_item_id)."""
if not isinstance(raw_id, str):
return None, None
value = raw_id.strip()
if not value:
return None, None
if "|" in value:
call_id, response_item_id = value.split("|", 1)
call_id = call_id.strip() or None
response_item_id = response_item_id.strip() or None
return call_id, response_item_id
if value.startswith("fc_"):
return None, value
return value, None
def _derive_responses_function_call_id(
call_id: str,
response_item_id: Optional[str] = None,
) -> str:
"""Build a valid Responses `function_call.id` (must start with `fc_`)."""
if isinstance(response_item_id, str):
candidate = response_item_id.strip()
if candidate.startswith("fc_"):
return candidate
source = (call_id or "").strip()
if source.startswith("fc_"):
return source
if source.startswith("call_") and len(source) > len("call_"):
return f"fc_{source[len('call_'):]}"
sanitized = re.sub(r"[^A-Za-z0-9_-]", "", source)
if sanitized.startswith("fc_"):
return sanitized
if sanitized.startswith("call_") and len(sanitized) > len("call_"):
return f"fc_{sanitized[len('call_'):]}"
if sanitized:
return f"fc_{sanitized[:48]}"
seed = source or str(response_item_id or "") or uuid.uuid4().hex
digest = hashlib.sha1(seed.encode("utf-8")).hexdigest()[:24]
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:
return None
converted: List[Dict[str, Any]] = []
for item in tools:
fn = item.get("function", {}) if isinstance(item, dict) else {}
name = fn.get("name")
if not isinstance(name, str) or not name.strip():
continue
converted.append({
"type": "function",
"name": name,
"description": fn.get("description", ""),
"strict": False,
"parameters": fn.get("parameters", {"type": "object", "properties": {}}),
})
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]] = []
seen_item_ids: set = set()
for msg in messages:
if not isinstance(msg, dict):
continue
role = msg.get("role")
if role == "system":
continue
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 ""
if role == "assistant":
# Replay encrypted reasoning items from previous turns
# so the API can maintain coherent reasoning chains.
codex_reasoning = msg.get("codex_reasoning_items")
has_codex_reasoning = False
if isinstance(codex_reasoning, list):
for ri in codex_reasoning:
if isinstance(ri, dict) and ri.get("encrypted_content"):
item_id = ri.get("id")
if item_id and item_id in seen_item_ids:
continue
# Strip the "id" field — with store=False the
# Responses API cannot look up items by ID and
# returns 404. The encrypted_content blob is
# self-contained for reasoning chain continuity.
replay_item = {k: v for k, v in ri.items() if k != "id"}
items.append(replay_item)
if item_id:
seen_item_ids.add(item_id)
has_codex_reasoning = True
if content_parts:
items.append({"role": "assistant", "content": content_parts})
elif content_text.strip():
items.append({"role": "assistant", "content": content_text})
elif has_codex_reasoning:
# The Responses API requires a following item after each
# reasoning item (otherwise: missing_following_item error).
# When the assistant produced only reasoning with no visible
# content, emit an empty assistant message as the required
# following item.
items.append({"role": "assistant", "content": ""})
tool_calls = msg.get("tool_calls")
if isinstance(tool_calls, list):
for tc in tool_calls:
if not isinstance(tc, dict):
continue
fn = tc.get("function", {})
fn_name = fn.get("name")
if not isinstance(fn_name, str) or not fn_name.strip():
continue
embedded_call_id, embedded_response_item_id = _split_responses_tool_id(
tc.get("id")
)
call_id = tc.get("call_id")
if not isinstance(call_id, str) or not call_id.strip():
call_id = embedded_call_id
if not isinstance(call_id, str) or not call_id.strip():
if (
isinstance(embedded_response_item_id, str)
and embedded_response_item_id.startswith("fc_")
and len(embedded_response_item_id) > len("fc_")
):
call_id = f"call_{embedded_response_item_id[len('fc_'):]}"
else:
_raw_args = str(fn.get("arguments", "{}"))
call_id = _deterministic_call_id(fn_name, _raw_args, len(items))
call_id = call_id.strip()
arguments = fn.get("arguments", "{}")
if isinstance(arguments, dict):
arguments = json.dumps(arguments, ensure_ascii=False)
elif not isinstance(arguments, str):
arguments = str(arguments)
arguments = arguments.strip() or "{}"
items.append({
"type": "function_call",
"call_id": call_id,
"name": fn_name,
"arguments": arguments,
})
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})
continue
if role == "tool":
raw_tool_call_id = msg.get("tool_call_id")
call_id, _ = _split_responses_tool_id(raw_tool_call_id)
if not isinstance(call_id, str) or not call_id.strip():
if isinstance(raw_tool_call_id, str) and raw_tool_call_id.strip():
call_id = raw_tool_call_id.strip()
if not isinstance(call_id, str) or not call_id.strip():
continue
items.append({
"type": "function_call_output",
"call_id": call_id,
"output": str(msg.get("content", "") or ""),
})
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.")
normalized: List[Dict[str, Any]] = []
seen_ids: set = set()
for idx, item in enumerate(raw_items):
if not isinstance(item, dict):
raise ValueError(f"Codex Responses input[{idx}] must be an object.")
item_type = item.get("type")
if item_type == "function_call":
call_id = item.get("call_id")
name = item.get("name")
if not isinstance(call_id, str) or not call_id.strip():
raise ValueError(f"Codex Responses input[{idx}] function_call is missing call_id.")
if not isinstance(name, str) or not name.strip():
raise ValueError(f"Codex Responses input[{idx}] function_call is missing name.")
arguments = item.get("arguments", "{}")
if isinstance(arguments, dict):
arguments = json.dumps(arguments, ensure_ascii=False)
elif not isinstance(arguments, str):
arguments = str(arguments)
arguments = arguments.strip() or "{}"
normalized.append(
{
"type": "function_call",
"call_id": call_id.strip(),
"name": name.strip(),
"arguments": arguments,
}
)
continue
if item_type == "function_call_output":
call_id = item.get("call_id")
if not isinstance(call_id, str) or not call_id.strip():
raise ValueError(f"Codex Responses input[{idx}] function_call_output is missing call_id.")
output = item.get("output", "")
if output is None:
output = ""
if not isinstance(output, str):
output = str(output)
normalized.append(
{
"type": "function_call_output",
"call_id": call_id.strip(),
"output": output,
}
)
continue
if item_type == "reasoning":
encrypted = item.get("encrypted_content")
if isinstance(encrypted, str) and encrypted:
item_id = item.get("id")
if isinstance(item_id, str) and item_id:
if item_id in seen_ids:
continue
seen_ids.add(item_id)
reasoning_item = {"type": "reasoning", "encrypted_content": encrypted}
# Do NOT include the "id" in the outgoing item — with
# store=False (our default) the API tries to resolve the
# id server-side and returns 404. The id is still used
# above for local deduplication via seen_ids.
summary = item.get("summary")
if isinstance(summary, list):
reasoning_item["summary"] = summary
else:
reasoning_item["summary"] = []
normalized.append(reasoning_item)
continue
role = item.get("role")
if role in {"user", "assistant"}:
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)
normalized.append({"role": role, "content": content})
continue
raise ValueError(
f"Codex Responses input[{idx}] has unsupported item shape (type={item_type!r}, role={role!r})."
)
return normalized
def _preflight_codex_api_kwargs(
api_kwargs: Any,
*,
allow_stream: bool = False,
) -> Dict[str, Any]:
if not isinstance(api_kwargs, dict):
raise ValueError("Codex Responses request must be a dict.")
required = {"model", "instructions", "input"}
missing = [key for key in required if key not in api_kwargs]
if missing:
raise ValueError(f"Codex Responses request missing required field(s): {', '.join(sorted(missing))}.")
model = api_kwargs.get("model")
if not isinstance(model, str) or not model.strip():
raise ValueError("Codex Responses request 'model' must be a non-empty string.")
model = model.strip()
instructions = api_kwargs.get("instructions")
if instructions is None:
instructions = ""
if not isinstance(instructions, str):
instructions = str(instructions)
instructions = instructions.strip() or DEFAULT_AGENT_IDENTITY
normalized_input = _preflight_codex_input_items(api_kwargs.get("input"))
tools = api_kwargs.get("tools")
normalized_tools = None
if tools is not None:
if not isinstance(tools, list):
raise ValueError("Codex Responses request 'tools' must be a list when provided.")
normalized_tools = []
for idx, tool in enumerate(tools):
if not isinstance(tool, dict):
raise ValueError(f"Codex Responses tools[{idx}] must be an object.")
if tool.get("type") != "function":
raise ValueError(f"Codex Responses tools[{idx}] has unsupported type {tool.get('type')!r}.")
name = tool.get("name")
parameters = tool.get("parameters")
if not isinstance(name, str) or not name.strip():
raise ValueError(f"Codex Responses tools[{idx}] is missing a valid name.")
if not isinstance(parameters, dict):
raise ValueError(f"Codex Responses tools[{idx}] is missing valid parameters.")
description = tool.get("description", "")
if description is None:
description = ""
if not isinstance(description, str):
description = str(description)
strict = tool.get("strict", False)
if not isinstance(strict, bool):
strict = bool(strict)
normalized_tools.append(
{
"type": "function",
"name": name.strip(),
"description": description,
"strict": strict,
"parameters": parameters,
}
)
store = api_kwargs.get("store", False)
if store is not False:
raise ValueError("Codex Responses contract requires 'store' to be false.")
allowed_keys = {
"model", "instructions", "input", "tools", "store",
"reasoning", "include", "max_output_tokens", "temperature",
"tool_choice", "parallel_tool_calls", "prompt_cache_key", "service_tier",
"extra_headers",
}
normalized: Dict[str, Any] = {
"model": model,
"instructions": instructions,
"input": normalized_input,
"store": False,
}
if normalized_tools is not None:
normalized["tools"] = normalized_tools
# Pass through reasoning config
reasoning = api_kwargs.get("reasoning")
if isinstance(reasoning, dict):
normalized["reasoning"] = reasoning
include = api_kwargs.get("include")
if isinstance(include, list):
normalized["include"] = include
service_tier = api_kwargs.get("service_tier")
if isinstance(service_tier, str) and service_tier.strip():
normalized["service_tier"] = service_tier.strip()
# Pass through max_output_tokens and temperature
max_output_tokens = api_kwargs.get("max_output_tokens")
if isinstance(max_output_tokens, (int, float)) and max_output_tokens > 0:
normalized["max_output_tokens"] = int(max_output_tokens)
temperature = api_kwargs.get("temperature")
if isinstance(temperature, (int, float)):
normalized["temperature"] = float(temperature)
# Pass through tool_choice, parallel_tool_calls, prompt_cache_key
for passthrough_key in ("tool_choice", "parallel_tool_calls", "prompt_cache_key"):
val = api_kwargs.get(passthrough_key)
if val is not None:
normalized[passthrough_key] = val
extra_headers = api_kwargs.get("extra_headers")
if extra_headers is not None:
if not isinstance(extra_headers, dict):
raise ValueError("Codex Responses request 'extra_headers' must be an object.")
normalized_headers: Dict[str, str] = {}
for key, value in extra_headers.items():
if not isinstance(key, str) or not key.strip():
raise ValueError("Codex Responses request 'extra_headers' keys must be non-empty strings.")
if value is None:
continue
normalized_headers[key.strip()] = str(value)
if normalized_headers:
normalized["extra_headers"] = normalized_headers
if allow_stream:
stream = api_kwargs.get("stream")
if stream is not None and stream is not True:
raise ValueError("Codex Responses 'stream' must be true when set.")
if stream is True:
normalized["stream"] = True
allowed_keys.add("stream")
elif "stream" in api_kwargs:
raise ValueError("Codex Responses stream flag is only allowed in fallback streaming requests.")
unexpected = sorted(key for key in api_kwargs if key not in allowed_keys)
if unexpected:
raise ValueError(
f"Codex Responses request has unsupported field(s): {', '.join(unexpected)}."
)
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)
if not isinstance(content, list):
return ""
chunks: List[str] = []
for part in content:
ptype = getattr(part, "type", None)
if ptype not in {"output_text", "text"}:
continue
text = getattr(part, "text", None)
if isinstance(text, str) and text:
chunks.append(text)
return "".join(chunks).strip()
def _extract_responses_reasoning_text(item: Any) -> str:
"""Extract a compact reasoning text from a Responses reasoning item."""
summary = getattr(item, "summary", None)
if isinstance(summary, list):
chunks: List[str] = []
for part in summary:
text = getattr(part, "text", None)
if isinstance(text, str) and text:
chunks.append(text)
if chunks:
return "\n".join(chunks).strip()
text = getattr(item, "text", None)
if isinstance(text, str) and text:
return text.strip()
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)
if not isinstance(output, list) or not output:
# The Codex backend can return empty output when the answer was
# delivered entirely via stream events. Check output_text as a
# last-resort fallback before raising.
out_text = getattr(response, "output_text", None)
if isinstance(out_text, str) and out_text.strip():
logger.debug(
"Codex response has empty output but output_text is present (%d chars); "
"synthesizing output item.", len(out_text.strip()),
)
output = [SimpleNamespace(
type="message", role="assistant", status="completed",
content=[SimpleNamespace(type="output_text", text=out_text.strip())],
)]
response.output = output
else:
raise RuntimeError("Responses API returned no output items")
response_status = getattr(response, "status", None)
if isinstance(response_status, str):
response_status = response_status.strip().lower()
else:
response_status = None
if response_status in {"failed", "cancelled"}:
error_obj = getattr(response, "error", None)
if isinstance(error_obj, dict):
error_msg = error_obj.get("message") or str(error_obj)
else:
error_msg = str(error_obj) if error_obj else f"Responses API returned status '{response_status}'"
raise RuntimeError(error_msg)
content_parts: List[str] = []
reasoning_parts: List[str] = []
reasoning_items_raw: List[Dict[str, Any]] = []
tool_calls: List[Any] = []
has_incomplete_items = response_status in {"queued", "in_progress", "incomplete"}
saw_commentary_phase = False
saw_final_answer_phase = False
for item in output:
item_type = getattr(item, "type", None)
item_status = getattr(item, "status", None)
if isinstance(item_status, str):
item_status = item_status.strip().lower()
else:
item_status = None
if item_status in {"queued", "in_progress", "incomplete"}:
has_incomplete_items = True
if item_type == "message":
item_phase = getattr(item, "phase", None)
if isinstance(item_phase, str):
normalized_phase = item_phase.strip().lower()
if normalized_phase in {"commentary", "analysis"}:
saw_commentary_phase = True
elif normalized_phase in {"final_answer", "final"}:
saw_final_answer_phase = True
message_text = _extract_responses_message_text(item)
if message_text:
content_parts.append(message_text)
elif item_type == "reasoning":
reasoning_text = _extract_responses_reasoning_text(item)
if reasoning_text:
reasoning_parts.append(reasoning_text)
# Capture the full reasoning item for multi-turn continuity.
# encrypted_content is an opaque blob the API needs back on
# subsequent turns to maintain coherent reasoning chains.
encrypted = getattr(item, "encrypted_content", None)
if isinstance(encrypted, str) and encrypted:
raw_item = {"type": "reasoning", "encrypted_content": encrypted}
item_id = getattr(item, "id", None)
if isinstance(item_id, str) and item_id:
raw_item["id"] = item_id
# Capture summary — required by the API when replaying reasoning items
summary = getattr(item, "summary", None)
if isinstance(summary, list):
raw_summary = []
for part in summary:
text = getattr(part, "text", None)
if isinstance(text, str):
raw_summary.append({"type": "summary_text", "text": text})
raw_item["summary"] = raw_summary
reasoning_items_raw.append(raw_item)
elif item_type == "function_call":
if item_status in {"queued", "in_progress", "incomplete"}:
continue
fn_name = getattr(item, "name", "") or ""
arguments = getattr(item, "arguments", "{}")
if not isinstance(arguments, str):
arguments = json.dumps(arguments, ensure_ascii=False)
raw_call_id = getattr(item, "call_id", None)
raw_item_id = getattr(item, "id", None)
embedded_call_id, _ = _split_responses_tool_id(raw_item_id)
call_id = raw_call_id if isinstance(raw_call_id, str) and raw_call_id.strip() else embedded_call_id
if not isinstance(call_id, str) or not call_id.strip():
call_id = _deterministic_call_id(fn_name, arguments, len(tool_calls))
call_id = call_id.strip()
response_item_id = raw_item_id if isinstance(raw_item_id, str) else None
response_item_id = _derive_responses_function_call_id(call_id, response_item_id)
tool_calls.append(SimpleNamespace(
id=call_id,
call_id=call_id,
response_item_id=response_item_id,
type="function",
function=SimpleNamespace(name=fn_name, arguments=arguments),
))
elif item_type == "custom_tool_call":
fn_name = getattr(item, "name", "") or ""
arguments = getattr(item, "input", "{}")
if not isinstance(arguments, str):
arguments = json.dumps(arguments, ensure_ascii=False)
raw_call_id = getattr(item, "call_id", None)
raw_item_id = getattr(item, "id", None)
embedded_call_id, _ = _split_responses_tool_id(raw_item_id)
call_id = raw_call_id if isinstance(raw_call_id, str) and raw_call_id.strip() else embedded_call_id
if not isinstance(call_id, str) or not call_id.strip():
call_id = _deterministic_call_id(fn_name, arguments, len(tool_calls))
call_id = call_id.strip()
response_item_id = raw_item_id if isinstance(raw_item_id, str) else None
response_item_id = _derive_responses_function_call_id(call_id, response_item_id)
tool_calls.append(SimpleNamespace(
id=call_id,
call_id=call_id,
response_item_id=response_item_id,
type="function",
function=SimpleNamespace(name=fn_name, arguments=arguments),
))
final_text = "\n".join([p for p in content_parts if p]).strip()
if not final_text and hasattr(response, "output_text"):
out_text = getattr(response, "output_text", "")
if isinstance(out_text, str):
final_text = out_text.strip()
assistant_message = SimpleNamespace(
content=final_text,
tool_calls=tool_calls,
reasoning="\n\n".join(reasoning_parts).strip() if reasoning_parts else None,
reasoning_content=None,
reasoning_details=None,
codex_reasoning_items=reasoning_items_raw or None,
)
if tool_calls:
finish_reason = "tool_calls"
elif has_incomplete_items or (saw_commentary_phase and not saw_final_answer_phase):
finish_reason = "incomplete"
elif reasoning_items_raw and not final_text:
# Response contains only reasoning (encrypted thinking state) with
# no visible content or tool calls. The model is still thinking and
# needs another turn to produce the actual answer. Marking this as
# "stop" would send it into the empty-content retry loop which burns
# 3 retries then fails — treat it as incomplete instead so the Codex
# continuation path handles it correctly.
finish_reason = "incomplete"
else:
finish_reason = "stop"
return assistant_message, finish_reason
+7 -20
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] + "..."
@@ -638,13 +633,7 @@ class ContextCompressor(ContextEngine):
"assistant that continues the conversation. "
"Do NOT respond to any questions or requests in the conversation — "
"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."
"Do NOT include any preamble, greeting, or prefix."
)
# Shared structured template (used by both paths).
@@ -701,7 +690,7 @@ 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 +730,7 @@ 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 +753,7 @@ 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 +794,7 @@ 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
+3 -1
View File
@@ -483,7 +483,9 @@ def _rg_files(path: Path, cwd: Path, limit: int) -> list[Path] | None:
text=True,
timeout=10,
)
except (FileNotFoundError, OSError, subprocess.TimeoutExpired):
except FileNotFoundError:
return None
except subprocess.TimeoutExpired:
return None
if result.returncode != 0:
return None
+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 -10
View File
@@ -225,11 +225,9 @@ def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -
content = _oneline(args.get("content", ""))
return f"+{target}: \"{content[:25]}{'...' if len(content) > 25 else ''}\""
elif action == "replace":
old = _oneline(args.get("old_text") or "") or "<missing old_text>"
return f"~{target}: \"{old[:20]}\""
return f"~{target}: \"{_oneline(args.get('old_text', '')[:20])}\""
elif action == "remove":
old = _oneline(args.get("old_text") or "") or "<missing old_text>"
return f"-{target}: \"{old[:20]}\""
return f"-{target}: \"{_oneline(args.get('old_text', '')[:20])}\""
return action
if tool_name == "send_message":
@@ -941,13 +939,9 @@ def get_cute_tool_message(
if action == "add":
return _wrap(f"┊ 🧠 memory +{target}: \"{_trunc(args.get('content', ''), 30)}\" {dur}")
elif action == "replace":
old = args.get("old_text") or ""
old = old if old else "<missing old_text>"
return _wrap(f"┊ 🧠 memory ~{target}: \"{_trunc(old, 20)}\" {dur}")
return _wrap(f"┊ 🧠 memory ~{target}: \"{_trunc(args.get('old_text', ''), 20)}\" {dur}")
elif action == "remove":
old = args.get("old_text") or ""
old = old if old else "<missing old_text>"
return _wrap(f"┊ 🧠 memory -{target}: \"{_trunc(old, 20)}\" {dur}")
return _wrap(f"┊ 🧠 memory -{target}: \"{_trunc(args.get('old_text', ''), 20)}\" {dur}")
return _wrap(f"┊ 🧠 memory {action} {dur}")
if tool_name == "skills_list":
return _wrap(f"┊ 📚 skills list {args.get('category', 'all')} {dur}")
+5 -5
View File
@@ -290,7 +290,7 @@ def classify_api_error(
if isinstance(body, dict):
_err_obj = body.get("error", {})
if isinstance(_err_obj, dict):
_body_msg = str(_err_obj.get("message") or "").lower()
_body_msg = (_err_obj.get("message") or "").lower()
# Parse metadata.raw for wrapped provider errors
_metadata = _err_obj.get("metadata", {})
if isinstance(_metadata, dict):
@@ -302,11 +302,11 @@ def classify_api_error(
if isinstance(_inner, dict):
_inner_err = _inner.get("error", {})
if isinstance(_inner_err, dict):
_metadata_msg = str(_inner_err.get("message") or "").lower()
_metadata_msg = (_inner_err.get("message") or "").lower()
except (json.JSONDecodeError, TypeError):
pass
if not _body_msg:
_body_msg = str(body.get("message") or "").lower()
_body_msg = (body.get("message") or "").lower()
# Combine all message sources for pattern matching
parts = [_raw_msg]
if _body_msg and _body_msg not in _raw_msg:
@@ -606,10 +606,10 @@ def _classify_400(
if isinstance(body, dict):
err_obj = body.get("error", {})
if isinstance(err_obj, dict):
err_body_msg = str(err_obj.get("message") or "").strip().lower()
err_body_msg = (err_obj.get("message") or "").strip().lower()
# Responses API (and some providers) use flat body: {"message": "..."}
if not err_body_msg:
err_body_msg = str(body.get("message") or "").strip().lower()
err_body_msg = (body.get("message") or "").strip().lower()
is_generic = len(err_body_msg) < 30 or err_body_msg in ("error", "")
is_large = approx_tokens > context_length * 0.4 or approx_tokens > 80000 or num_messages > 80
-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
+8 -18
View File
@@ -39,7 +39,6 @@ from typing import Any, Dict, Iterator, List, Optional
import httpx
from agent import google_oauth
from agent.gemini_schema import sanitize_gemini_tool_parameters
from agent.google_code_assist import (
CODE_ASSIST_ENDPOINT,
FREE_TIER_ID,
@@ -206,7 +205,7 @@ def _translate_tools_to_gemini(tools: Any) -> List[Dict[str, Any]]:
decl["description"] = str(fn["description"])
params = fn.get("parameters")
if isinstance(params, dict):
decl["parameters"] = sanitize_gemini_tool_parameters(params)
decl["parameters"] = params
declarations.append(decl)
if not declarations:
return []
@@ -505,16 +504,9 @@ def _iter_sse_events(response: httpx.Response) -> Iterator[Dict[str, Any]]:
def _translate_stream_event(
event: Dict[str, Any],
model: str,
tool_call_counter: List[int],
tool_call_indices: Dict[str, int],
) -> List[_GeminiStreamChunk]:
"""Unwrap Code Assist envelope and emit OpenAI-shaped chunk(s).
``tool_call_counter`` is a single-element list used as a mutable counter
across events in the same stream. Each ``functionCall`` part gets a
fresh, unique OpenAI ``index`` keying by function name would collide
whenever the model issues parallel calls to the same tool (e.g. reading
three files in one turn).
"""
"""Unwrap Code Assist envelope and emit OpenAI-shaped chunk(s)."""
inner = event.get("response") if isinstance(event.get("response"), dict) else event
candidates = inner.get("candidates") or []
if not candidates:
@@ -540,8 +532,7 @@ def _translate_stream_event(
fc = part.get("functionCall")
if isinstance(fc, dict) and fc.get("name"):
name = str(fc["name"])
idx = tool_call_counter[0]
tool_call_counter[0] += 1
idx = tool_call_indices.setdefault(name, len(tool_call_indices))
try:
args_str = json.dumps(fc.get("args") or {}, ensure_ascii=False)
except (TypeError, ValueError):
@@ -558,7 +549,7 @@ def _translate_stream_event(
finish_reason_raw = str(cand.get("finishReason") or "")
if finish_reason_raw:
mapped = _map_gemini_finish_reason(finish_reason_raw)
if tool_call_counter[0] > 0:
if tool_call_indices:
mapped = "tool_calls"
chunks.append(_make_stream_chunk(model=model, finish_reason=mapped))
return chunks
@@ -742,9 +733,9 @@ class GeminiCloudCodeClient:
# Materialize error body for better diagnostics
response.read()
raise _gemini_http_error(response)
tool_call_counter: List[int] = [0]
tool_call_indices: Dict[str, int] = {}
for event in _iter_sse_events(response):
for chunk in _translate_stream_event(event, model, tool_call_counter):
for chunk in _translate_stream_event(event, model, tool_call_indices):
yield chunk
except httpx.HTTPError as exc:
raise CodeAssistError(
@@ -799,8 +790,7 @@ 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.
-847
View File
@@ -1,847 +0,0 @@
"""OpenAI-compatible facade over Google AI Studio's native Gemini API.
Hermes keeps ``api_mode='chat_completions'`` for the ``gemini`` provider so the
main agent loop can keep using its existing OpenAI-shaped message flow.
This adapter is the transport shim that converts those OpenAI-style
``messages[]`` / ``tools[]`` requests into Gemini's native
``models/{model}:generateContent`` schema and converts the responses back.
Why this exists
---------------
Google's OpenAI-compatible endpoint has been brittle for Hermes's multi-turn
agent/tool loop (auth churn, tool-call replay quirks, thought-signature
requirements). The native Gemini API is the canonical path and avoids the
OpenAI-compat layer entirely.
"""
from __future__ import annotations
import asyncio
import base64
import json
import logging
import time
import uuid
from types import SimpleNamespace
from typing import Any, Dict, Iterator, List, Optional
import httpx
from agent.gemini_schema import sanitize_gemini_tool_parameters
logger = logging.getLogger(__name__)
DEFAULT_GEMINI_BASE_URL = "https://generativelanguage.googleapis.com/v1beta"
def is_native_gemini_base_url(base_url: str) -> bool:
"""Return True when the endpoint speaks Gemini's native REST API."""
normalized = str(base_url or "").strip().rstrip("/").lower()
if not normalized:
return False
if "generativelanguage.googleapis.com" not in normalized:
return False
return not normalized.endswith("/openai")
class GeminiAPIError(Exception):
"""Error shape compatible with Hermes retry/error classification."""
def __init__(
self,
message: str,
*,
code: str = "gemini_api_error",
status_code: Optional[int] = None,
response: Optional[httpx.Response] = None,
retry_after: Optional[float] = None,
details: Optional[Dict[str, Any]] = None,
) -> None:
super().__init__(message)
self.code = code
self.status_code = status_code
self.response = response
self.retry_after = retry_after
self.details = details or {}
def _coerce_content_to_text(content: Any) -> str:
if content is None:
return ""
if isinstance(content, str):
return content
if isinstance(content, list):
pieces: List[str] = []
for part in content:
if isinstance(part, str):
pieces.append(part)
elif isinstance(part, dict) and part.get("type") == "text":
text = part.get("text")
if isinstance(text, str):
pieces.append(text)
return "\n".join(pieces)
return str(content)
def _extract_multimodal_parts(content: Any) -> List[Dict[str, Any]]:
if not isinstance(content, list):
text = _coerce_content_to_text(content)
return [{"text": text}] if text else []
parts: List[Dict[str, Any]] = []
for item in content:
if isinstance(item, str):
parts.append({"text": item})
continue
if not isinstance(item, dict):
continue
ptype = item.get("type")
if ptype == "text":
text = item.get("text")
if isinstance(text, str) and text:
parts.append({"text": text})
elif ptype == "image_url":
url = ((item.get("image_url") or {}).get("url") or "")
if not isinstance(url, str) or not url.startswith("data:"):
continue
try:
header, encoded = url.split(",", 1)
mime = header.split(":", 1)[1].split(";", 1)[0]
raw = base64.b64decode(encoded)
except Exception:
continue
parts.append(
{
"inlineData": {
"mimeType": mime,
"data": base64.b64encode(raw).decode("ascii"),
}
}
)
return parts
def _tool_call_extra_signature(tool_call: Dict[str, Any]) -> Optional[str]:
extra = tool_call.get("extra_content") or {}
if not isinstance(extra, dict):
return None
google = extra.get("google") or extra.get("thought_signature")
if isinstance(google, dict):
sig = google.get("thought_signature") or google.get("thoughtSignature")
return str(sig) if isinstance(sig, str) and sig else None
if isinstance(google, str) and google:
return google
return None
def _translate_tool_call_to_gemini(tool_call: Dict[str, Any]) -> Dict[str, Any]:
fn = tool_call.get("function") or {}
args_raw = fn.get("arguments", "")
try:
args = json.loads(args_raw) if isinstance(args_raw, str) and args_raw else {}
except json.JSONDecodeError:
args = {"_raw": args_raw}
if not isinstance(args, dict):
args = {"_value": args}
part: Dict[str, Any] = {
"functionCall": {
"name": str(fn.get("name") or ""),
"args": args,
}
}
thought_signature = _tool_call_extra_signature(tool_call)
if thought_signature:
part["thoughtSignature"] = thought_signature
return part
def _translate_tool_result_to_gemini(
message: Dict[str, Any],
tool_name_by_call_id: Optional[Dict[str, str]] = None,
) -> Dict[str, Any]:
tool_name_by_call_id = tool_name_by_call_id or {}
tool_call_id = str(message.get("tool_call_id") or "")
name = str(
message.get("name")
or tool_name_by_call_id.get(tool_call_id)
or tool_call_id
or "tool"
)
content = _coerce_content_to_text(message.get("content"))
try:
parsed = json.loads(content) if content.strip().startswith(("{", "[")) else None
except json.JSONDecodeError:
parsed = None
response = parsed if isinstance(parsed, dict) else {"output": content}
return {
"functionResponse": {
"name": name,
"response": response,
}
}
def _build_gemini_contents(messages: List[Dict[str, Any]]) -> tuple[List[Dict[str, Any]], Optional[Dict[str, Any]]]:
system_text_parts: List[str] = []
contents: List[Dict[str, Any]] = []
tool_name_by_call_id: Dict[str, str] = {}
for msg in messages:
if not isinstance(msg, dict):
continue
role = str(msg.get("role") or "user")
if role == "system":
system_text_parts.append(_coerce_content_to_text(msg.get("content")))
continue
if role in {"tool", "function"}:
contents.append(
{
"role": "user",
"parts": [
_translate_tool_result_to_gemini(
msg,
tool_name_by_call_id=tool_name_by_call_id,
)
],
}
)
continue
gemini_role = "model" if role == "assistant" else "user"
parts: List[Dict[str, Any]] = []
content_parts = _extract_multimodal_parts(msg.get("content"))
parts.extend(content_parts)
tool_calls = msg.get("tool_calls") or []
if isinstance(tool_calls, list):
for tool_call in tool_calls:
if isinstance(tool_call, dict):
tool_call_id = str(tool_call.get("id") or tool_call.get("call_id") or "")
tool_name = str(((tool_call.get("function") or {}).get("name") or ""))
if tool_call_id and tool_name:
tool_name_by_call_id[tool_call_id] = tool_name
parts.append(_translate_tool_call_to_gemini(tool_call))
if parts:
contents.append({"role": gemini_role, "parts": parts})
system_instruction = None
joined_system = "\n".join(part for part in system_text_parts if part).strip()
if joined_system:
system_instruction = {"parts": [{"text": joined_system}]}
return contents, system_instruction
def _translate_tools_to_gemini(tools: Any) -> List[Dict[str, Any]]:
if not isinstance(tools, list):
return []
declarations: List[Dict[str, Any]] = []
for tool in tools:
if not isinstance(tool, dict):
continue
fn = tool.get("function") or {}
if not isinstance(fn, dict):
continue
name = fn.get("name")
if not isinstance(name, str) or not name:
continue
decl: Dict[str, Any] = {"name": name}
description = fn.get("description")
if isinstance(description, str) and description:
decl["description"] = description
parameters = fn.get("parameters")
if isinstance(parameters, dict):
decl["parameters"] = sanitize_gemini_tool_parameters(parameters)
declarations.append(decl)
return [{"functionDeclarations": declarations}] if declarations else []
def _translate_tool_choice_to_gemini(tool_choice: Any) -> Optional[Dict[str, Any]]:
if tool_choice is None:
return None
if isinstance(tool_choice, str):
if tool_choice == "auto":
return {"functionCallingConfig": {"mode": "AUTO"}}
if tool_choice == "required":
return {"functionCallingConfig": {"mode": "ANY"}}
if tool_choice == "none":
return {"functionCallingConfig": {"mode": "NONE"}}
if isinstance(tool_choice, dict):
fn = tool_choice.get("function") or {}
name = fn.get("name")
if isinstance(name, str) and name:
return {"functionCallingConfig": {"mode": "ANY", "allowedFunctionNames": [name]}}
return None
def _normalize_thinking_config(config: Any) -> Optional[Dict[str, Any]]:
if not isinstance(config, dict) or not config:
return None
budget = config.get("thinkingBudget", config.get("thinking_budget"))
include = config.get("includeThoughts", config.get("include_thoughts"))
level = config.get("thinkingLevel", config.get("thinking_level"))
normalized: Dict[str, Any] = {}
if isinstance(budget, (int, float)):
normalized["thinkingBudget"] = int(budget)
if isinstance(include, bool):
normalized["includeThoughts"] = include
if isinstance(level, str) and level.strip():
normalized["thinkingLevel"] = level.strip().lower()
return normalized or None
def build_gemini_request(
*,
messages: List[Dict[str, Any]],
tools: Any = None,
tool_choice: Any = None,
temperature: Optional[float] = None,
max_tokens: Optional[int] = None,
top_p: Optional[float] = None,
stop: Any = None,
thinking_config: Any = None,
) -> Dict[str, Any]:
contents, system_instruction = _build_gemini_contents(messages)
request: Dict[str, Any] = {"contents": contents}
if system_instruction:
request["systemInstruction"] = system_instruction
gemini_tools = _translate_tools_to_gemini(tools)
if gemini_tools:
request["tools"] = gemini_tools
tool_config = _translate_tool_choice_to_gemini(tool_choice)
if tool_config:
request["toolConfig"] = tool_config
generation_config: Dict[str, Any] = {}
if temperature is not None:
generation_config["temperature"] = temperature
if max_tokens is not None:
generation_config["maxOutputTokens"] = max_tokens
if top_p is not None:
generation_config["topP"] = top_p
if stop:
generation_config["stopSequences"] = stop if isinstance(stop, list) else [str(stop)]
normalized_thinking = _normalize_thinking_config(thinking_config)
if normalized_thinking:
generation_config["thinkingConfig"] = normalized_thinking
if generation_config:
request["generationConfig"] = generation_config
return request
def _map_gemini_finish_reason(reason: str) -> str:
mapping = {
"STOP": "stop",
"MAX_TOKENS": "length",
"SAFETY": "content_filter",
"RECITATION": "content_filter",
"OTHER": "stop",
}
return mapping.get(str(reason or "").upper(), "stop")
def _tool_call_extra_from_part(part: Dict[str, Any]) -> Optional[Dict[str, Any]]:
sig = part.get("thoughtSignature")
if isinstance(sig, str) and sig:
return {"google": {"thought_signature": sig}}
return None
def _empty_response(model: str) -> SimpleNamespace:
message = SimpleNamespace(
role="assistant",
content="",
tool_calls=None,
reasoning=None,
reasoning_content=None,
reasoning_details=None,
)
choice = SimpleNamespace(index=0, message=message, finish_reason="stop")
usage = SimpleNamespace(
prompt_tokens=0,
completion_tokens=0,
total_tokens=0,
prompt_tokens_details=SimpleNamespace(cached_tokens=0),
)
return SimpleNamespace(
id=f"chatcmpl-{uuid.uuid4().hex[:12]}",
object="chat.completion",
created=int(time.time()),
model=model,
choices=[choice],
usage=usage,
)
def translate_gemini_response(resp: Dict[str, Any], model: str) -> SimpleNamespace:
candidates = resp.get("candidates") or []
if not isinstance(candidates, list) or not candidates:
return _empty_response(model)
cand = candidates[0] if isinstance(candidates[0], dict) else {}
content_obj = cand.get("content") if isinstance(cand, dict) else {}
parts = content_obj.get("parts") if isinstance(content_obj, dict) else []
text_pieces: List[str] = []
reasoning_pieces: List[str] = []
tool_calls: List[SimpleNamespace] = []
for index, part in enumerate(parts or []):
if not isinstance(part, dict):
continue
if part.get("thought") is True and isinstance(part.get("text"), str):
reasoning_pieces.append(part["text"])
continue
if isinstance(part.get("text"), str):
text_pieces.append(part["text"])
continue
fc = part.get("functionCall")
if isinstance(fc, dict) and fc.get("name"):
try:
args_str = json.dumps(fc.get("args") or {}, ensure_ascii=False)
except (TypeError, ValueError):
args_str = "{}"
tool_call = SimpleNamespace(
id=f"call_{uuid.uuid4().hex[:12]}",
type="function",
index=index,
function=SimpleNamespace(name=str(fc["name"]), arguments=args_str),
)
extra_content = _tool_call_extra_from_part(part)
if extra_content:
tool_call.extra_content = extra_content
tool_calls.append(tool_call)
finish_reason = "tool_calls" if tool_calls else _map_gemini_finish_reason(str(cand.get("finishReason") or ""))
usage_meta = resp.get("usageMetadata") or {}
usage = SimpleNamespace(
prompt_tokens=int(usage_meta.get("promptTokenCount") or 0),
completion_tokens=int(usage_meta.get("candidatesTokenCount") or 0),
total_tokens=int(usage_meta.get("totalTokenCount") or 0),
prompt_tokens_details=SimpleNamespace(
cached_tokens=int(usage_meta.get("cachedContentTokenCount") or 0),
),
)
reasoning = "".join(reasoning_pieces) or None
message = SimpleNamespace(
role="assistant",
content="".join(text_pieces) if text_pieces else None,
tool_calls=tool_calls or None,
reasoning=reasoning,
reasoning_content=reasoning,
reasoning_details=None,
)
choice = SimpleNamespace(index=0, message=message, finish_reason=finish_reason)
return SimpleNamespace(
id=f"chatcmpl-{uuid.uuid4().hex[:12]}",
object="chat.completion",
created=int(time.time()),
model=model,
choices=[choice],
usage=usage,
)
class _GeminiStreamChunk(SimpleNamespace):
pass
def _make_stream_chunk(
*,
model: str,
content: str = "",
tool_call_delta: Optional[Dict[str, Any]] = None,
finish_reason: Optional[str] = None,
reasoning: str = "",
) -> _GeminiStreamChunk:
delta_kwargs: Dict[str, Any] = {
"role": "assistant",
"content": None,
"tool_calls": None,
"reasoning": None,
"reasoning_content": None,
}
if content:
delta_kwargs["content"] = content
if tool_call_delta is not None:
tool_delta = SimpleNamespace(
index=tool_call_delta.get("index", 0),
id=tool_call_delta.get("id") or f"call_{uuid.uuid4().hex[:12]}",
type="function",
function=SimpleNamespace(
name=tool_call_delta.get("name") or "",
arguments=tool_call_delta.get("arguments") or "",
),
)
extra_content = tool_call_delta.get("extra_content")
if isinstance(extra_content, dict):
tool_delta.extra_content = extra_content
delta_kwargs["tool_calls"] = [tool_delta]
if reasoning:
delta_kwargs["reasoning"] = reasoning
delta_kwargs["reasoning_content"] = reasoning
delta = SimpleNamespace(**delta_kwargs)
choice = SimpleNamespace(index=0, delta=delta, finish_reason=finish_reason)
return _GeminiStreamChunk(
id=f"chatcmpl-{uuid.uuid4().hex[:12]}",
object="chat.completion.chunk",
created=int(time.time()),
model=model,
choices=[choice],
usage=None,
)
def _iter_sse_events(response: httpx.Response) -> Iterator[Dict[str, Any]]:
buffer = ""
for chunk in response.iter_text():
if not chunk:
continue
buffer += chunk
while "\n" in buffer:
line, buffer = buffer.split("\n", 1)
line = line.rstrip("\r")
if not line:
continue
if not line.startswith("data: "):
continue
data = line[6:]
if data == "[DONE]":
return
try:
payload = json.loads(data)
except json.JSONDecodeError:
logger.debug("Non-JSON Gemini SSE line: %s", data[:200])
continue
if isinstance(payload, dict):
yield payload
def translate_stream_event(event: Dict[str, Any], model: str, tool_call_indices: Dict[str, Dict[str, Any]]) -> List[_GeminiStreamChunk]:
candidates = event.get("candidates") or []
if not candidates:
return []
cand = candidates[0] if isinstance(candidates[0], dict) else {}
parts = ((cand.get("content") or {}).get("parts") or []) if isinstance(cand, dict) else []
chunks: List[_GeminiStreamChunk] = []
for part_index, part in enumerate(parts):
if not isinstance(part, dict):
continue
if part.get("thought") is True and isinstance(part.get("text"), str):
chunks.append(_make_stream_chunk(model=model, reasoning=part["text"]))
continue
if isinstance(part.get("text"), str) and part["text"]:
chunks.append(_make_stream_chunk(model=model, content=part["text"]))
fc = part.get("functionCall")
if isinstance(fc, dict) and fc.get("name"):
name = str(fc["name"])
try:
args_str = json.dumps(fc.get("args") or {}, ensure_ascii=False, sort_keys=True)
except (TypeError, ValueError):
args_str = "{}"
thought_signature = part.get("thoughtSignature") if isinstance(part.get("thoughtSignature"), str) else ""
call_key = json.dumps(
{
"part_index": part_index,
"name": name,
"thought_signature": thought_signature,
},
sort_keys=True,
)
slot = tool_call_indices.get(call_key)
if slot is None:
slot = {
"index": len(tool_call_indices),
"id": f"call_{uuid.uuid4().hex[:12]}",
"last_arguments": "",
}
tool_call_indices[call_key] = slot
emitted_arguments = args_str
last_arguments = str(slot.get("last_arguments") or "")
if last_arguments:
if args_str == last_arguments:
emitted_arguments = ""
elif args_str.startswith(last_arguments):
emitted_arguments = args_str[len(last_arguments):]
slot["last_arguments"] = args_str
chunks.append(
_make_stream_chunk(
model=model,
tool_call_delta={
"index": slot["index"],
"id": slot["id"],
"name": name,
"arguments": emitted_arguments,
"extra_content": _tool_call_extra_from_part(part),
},
)
)
finish_reason_raw = str(cand.get("finishReason") or "")
if finish_reason_raw:
mapped = "tool_calls" if tool_call_indices else _map_gemini_finish_reason(finish_reason_raw)
chunks.append(_make_stream_chunk(model=model, finish_reason=mapped))
return chunks
def gemini_http_error(response: httpx.Response) -> GeminiAPIError:
status = response.status_code
body_text = ""
body_json: Dict[str, Any] = {}
try:
body_text = response.text
except Exception:
body_text = ""
if body_text:
try:
parsed = json.loads(body_text)
if isinstance(parsed, dict):
body_json = parsed
except (ValueError, TypeError):
body_json = {}
err_obj = body_json.get("error") if isinstance(body_json, dict) else None
if not isinstance(err_obj, dict):
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 []
reason = ""
retry_after: Optional[float] = None
metadata: Dict[str, Any] = {}
for detail in details_list:
if not isinstance(detail, dict):
continue
type_url = str(detail.get("@type") or "")
if not reason and type_url.endswith("/google.rpc.ErrorInfo"):
reason_value = detail.get("reason")
if isinstance(reason_value, str):
reason = reason_value
md = detail.get("metadata")
if isinstance(md, dict):
metadata = md
header_retry = response.headers.get("Retry-After") or response.headers.get("retry-after")
if header_retry:
try:
retry_after = float(header_retry)
except (TypeError, ValueError):
retry_after = None
code = f"gemini_http_{status}"
if status == 401:
code = "gemini_unauthorized"
elif status == 429:
code = "gemini_rate_limited"
elif status == 404:
code = "gemini_model_not_found"
if err_message:
message = f"Gemini HTTP {status} ({err_status or 'error'}): {err_message}"
else:
message = f"Gemini returned HTTP {status}: {body_text[:500]}"
return GeminiAPIError(
message,
code=code,
status_code=status,
response=response,
retry_after=retry_after,
details={
"status": err_status,
"reason": reason,
"metadata": metadata,
"message": err_message,
},
)
class _GeminiChatCompletions:
def __init__(self, client: "GeminiNativeClient"):
self._client = client
def create(self, **kwargs: Any) -> Any:
return self._client._create_chat_completion(**kwargs)
class _AsyncGeminiChatCompletions:
def __init__(self, client: "AsyncGeminiNativeClient"):
self._client = client
async def create(self, **kwargs: Any) -> Any:
return await self._client._create_chat_completion(**kwargs)
class _GeminiChatNamespace:
def __init__(self, client: "GeminiNativeClient"):
self.completions = _GeminiChatCompletions(client)
class _AsyncGeminiChatNamespace:
def __init__(self, client: "AsyncGeminiNativeClient"):
self.completions = _AsyncGeminiChatCompletions(client)
class GeminiNativeClient:
"""Minimal OpenAI-SDK-compatible facade over Gemini's native REST API."""
def __init__(
self,
*,
api_key: str,
base_url: Optional[str] = None,
default_headers: Optional[Dict[str, str]] = None,
timeout: Any = None,
http_client: Optional[httpx.Client] = None,
**_: Any,
) -> None:
self.api_key = api_key
normalized_base = (base_url or DEFAULT_GEMINI_BASE_URL).rstrip("/")
if normalized_base.endswith("/openai"):
normalized_base = normalized_base[: -len("/openai")]
self.base_url = normalized_base
self._default_headers = dict(default_headers or {})
self.chat = _GeminiChatNamespace(self)
self.is_closed = False
self._http = http_client or httpx.Client(
timeout=timeout or httpx.Timeout(connect=15.0, read=600.0, write=30.0, pool=30.0)
)
def close(self) -> None:
self.is_closed = True
try:
self._http.close()
except Exception:
pass
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.close()
def _headers(self) -> Dict[str, str]:
headers = {
"Content-Type": "application/json",
"Accept": "application/json",
"x-goog-api-key": self.api_key,
"User-Agent": "hermes-agent (gemini-native)",
}
headers.update(self._default_headers)
return headers
@staticmethod
def _advance_stream_iterator(iterator: Iterator[_GeminiStreamChunk]) -> tuple[bool, Optional[_GeminiStreamChunk]]:
try:
return False, next(iterator)
except StopIteration:
return True, None
def _create_chat_completion(
self,
*,
model: str = "gemini-2.5-flash",
messages: Optional[List[Dict[str, Any]]] = None,
stream: bool = False,
tools: Any = None,
tool_choice: Any = None,
temperature: Optional[float] = None,
max_tokens: Optional[int] = None,
top_p: Optional[float] = None,
stop: Any = None,
extra_body: Optional[Dict[str, Any]] = None,
timeout: Any = None,
**_: Any,
) -> Any:
thinking_config = None
if isinstance(extra_body, dict):
thinking_config = extra_body.get("thinking_config") or extra_body.get("thinkingConfig")
request = build_gemini_request(
messages=messages or [],
tools=tools,
tool_choice=tool_choice,
temperature=temperature,
max_tokens=max_tokens,
top_p=top_p,
stop=stop,
thinking_config=thinking_config,
)
if stream:
return self._stream_completion(model=model, request=request, timeout=timeout)
url = f"{self.base_url}/models/{model}:generateContent"
response = self._http.post(url, json=request, headers=self._headers(), timeout=timeout)
if response.status_code != 200:
raise gemini_http_error(response)
try:
payload = response.json()
except ValueError as exc:
raise GeminiAPIError(
f"Invalid JSON from Gemini native API: {exc}",
code="gemini_invalid_json",
status_code=response.status_code,
response=response,
) from exc
return translate_gemini_response(payload, model=model)
def _stream_completion(self, *, model: str, request: Dict[str, Any], timeout: Any = None) -> Iterator[_GeminiStreamChunk]:
url = f"{self.base_url}/models/{model}:streamGenerateContent?alt=sse"
stream_headers = dict(self._headers())
stream_headers["Accept"] = "text/event-stream"
def _generator() -> Iterator[_GeminiStreamChunk]:
try:
with self._http.stream("POST", url, json=request, headers=stream_headers, timeout=timeout) as response:
if response.status_code != 200:
response.read()
raise gemini_http_error(response)
tool_call_indices: Dict[str, Dict[str, Any]] = {}
for event in _iter_sse_events(response):
for chunk in translate_stream_event(event, model, tool_call_indices):
yield chunk
except httpx.HTTPError as exc:
raise GeminiAPIError(
f"Gemini streaming request failed: {exc}",
code="gemini_stream_error",
) from exc
return _generator()
class AsyncGeminiNativeClient:
"""Async wrapper used by auxiliary_client for native Gemini calls."""
def __init__(self, sync_client: GeminiNativeClient):
self._sync = sync_client
self.api_key = sync_client.api_key
self.base_url = sync_client.base_url
self.chat = _AsyncGeminiChatNamespace(self)
async def _create_chat_completion(self, **kwargs: Any) -> Any:
stream = bool(kwargs.get("stream"))
result = await asyncio.to_thread(self._sync.chat.completions.create, **kwargs)
if not stream:
return result
async def _async_stream() -> Any:
while True:
done, chunk = await asyncio.to_thread(self._sync._advance_stream_iterator, result)
if done:
break
yield chunk
return _async_stream()
async def close(self) -> None:
await asyncio.to_thread(self._sync.close)
-85
View File
@@ -1,85 +0,0 @@
"""Helpers for translating OpenAI-style tool schemas to Gemini's schema subset."""
from __future__ import annotations
from typing import Any, Dict, List
# Gemini's ``FunctionDeclaration.parameters`` field accepts the ``Schema``
# object, which is only a subset of OpenAPI 3.0 / JSON Schema. Strip fields
# outside that subset before sending Hermes tool schemas to Google.
_GEMINI_SCHEMA_ALLOWED_KEYS = {
"type",
"format",
"title",
"description",
"nullable",
"enum",
"maxItems",
"minItems",
"properties",
"required",
"minProperties",
"maxProperties",
"minLength",
"maxLength",
"pattern",
"example",
"anyOf",
"propertyOrdering",
"default",
"items",
"minimum",
"maximum",
}
def sanitize_gemini_schema(schema: Any) -> Dict[str, Any]:
"""Return a Gemini-compatible copy of a tool parameter schema.
Hermes tool schemas are OpenAI-flavored JSON Schema and may contain keys
such as ``$schema`` or ``additionalProperties`` that Google's Gemini
``Schema`` object rejects. This helper preserves the documented Gemini
subset and recursively sanitizes nested ``properties`` / ``items`` /
``anyOf`` definitions.
"""
if not isinstance(schema, dict):
return {}
cleaned: Dict[str, Any] = {}
for key, value in schema.items():
if key not in _GEMINI_SCHEMA_ALLOWED_KEYS:
continue
if key == "properties":
if not isinstance(value, dict):
continue
props: Dict[str, Any] = {}
for prop_name, prop_schema in value.items():
if not isinstance(prop_name, str):
continue
props[prop_name] = sanitize_gemini_schema(prop_schema)
cleaned[key] = props
continue
if key == "items":
cleaned[key] = sanitize_gemini_schema(value)
continue
if key == "anyOf":
if not isinstance(value, list):
continue
cleaned[key] = [
sanitize_gemini_schema(item)
for item in value
if isinstance(item, dict)
]
continue
cleaned[key] = value
return cleaned
def sanitize_gemini_tool_parameters(parameters: Any) -> Dict[str, Any]:
"""Normalize tool parameters to a valid Gemini object schema."""
cleaned = sanitize_gemini_schema(parameters)
if not cleaned:
return {"type": "object", "properties": {}}
return cleaned
-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"):
+14 -86
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__)
@@ -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:
@@ -319,7 +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.
@@ -331,10 +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")
@@ -521,59 +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:
@@ -780,7 +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``,
@@ -798,16 +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
@@ -835,7 +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
@@ -848,15 +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})
@@ -1067,7 +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
@@ -1081,7 +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:
@@ -1090,11 +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)
@@ -1141,7 +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
+3 -9
View File
@@ -152,13 +152,7 @@ MEMORY_GUIDANCE = (
"Do NOT save task progress, session outcomes, completed-work logs, or temporary TODO "
"state to memory; use session_search to recall those from past transcripts. "
"If you've discovered a new way to do something, solved a problem that could be "
"necessary later, save it as a skill with the skill tool.\n"
"Write memories as declarative facts, not instructions to yourself. "
"'User prefers concise responses' ✓ — 'Always respond concisely' ✗. "
"'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. "
"Imperative phrasing gets re-read as a directive in later sessions and can "
"cause repeated work or override the user's current request. Procedures and "
"workflows belong in skills, not memory."
"necessary later, save it as a skill with the skill tool."
)
SESSION_SEARCH_GUIDANCE = (
@@ -619,14 +613,12 @@ def build_skills_system_prompt(
or get_session_env("HERMES_SESSION_PLATFORM")
or ""
)
disabled = get_disabled_skill_names()
cache_key = (
str(skills_dir.resolve()),
tuple(str(d) for d in external_dirs),
tuple(sorted(str(t) for t in (available_tools or set()))),
tuple(sorted(str(ts) for ts in (available_toolsets or set()))),
_platform_hint,
tuple(sorted(disabled)),
)
with _SKILLS_PROMPT_CACHE_LOCK:
cached = _SKILLS_PROMPT_CACHE.get(cache_key)
@@ -634,6 +626,8 @@ def build_skills_system_prompt(
_SKILLS_PROMPT_CACHE.move_to_end(cache_key)
return cached
disabled = get_disabled_skill_names()
# ── Layer 2: disk snapshot ────────────────────────────────────────
snapshot = _load_skills_snapshot(skills_dir)
-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)
+195
View File
@@ -0,0 +1,195 @@
"""Helpers for optional cheap-vs-strong model routing."""
from __future__ import annotations
import os
import re
from typing import Any, Dict, Optional
from utils import is_truthy_value
_COMPLEX_KEYWORDS = {
"debug",
"debugging",
"implement",
"implementation",
"refactor",
"patch",
"traceback",
"stacktrace",
"exception",
"error",
"analyze",
"analysis",
"investigate",
"architecture",
"design",
"compare",
"benchmark",
"optimize",
"optimise",
"review",
"terminal",
"shell",
"tool",
"tools",
"pytest",
"test",
"tests",
"plan",
"planning",
"delegate",
"subagent",
"cron",
"docker",
"kubernetes",
}
_URL_RE = re.compile(r"https?://|www\.", re.IGNORECASE)
def _coerce_bool(value: Any, default: bool = False) -> bool:
return is_truthy_value(value, default=default)
def _coerce_int(value: Any, default: int) -> int:
try:
return int(value)
except (TypeError, ValueError):
return default
def choose_cheap_model_route(user_message: str, routing_config: Optional[Dict[str, Any]]) -> Optional[Dict[str, Any]]:
"""Return the configured cheap-model route when a message looks simple.
Conservative by design: if the message has signs of code/tool/debugging/
long-form work, keep the primary model.
"""
cfg = routing_config or {}
if not _coerce_bool(cfg.get("enabled"), False):
return None
cheap_model = cfg.get("cheap_model") or {}
if not isinstance(cheap_model, dict):
return None
provider = str(cheap_model.get("provider") or "").strip().lower()
model = str(cheap_model.get("model") or "").strip()
if not provider or not model:
return None
text = (user_message or "").strip()
if not text:
return None
max_chars = _coerce_int(cfg.get("max_simple_chars"), 160)
max_words = _coerce_int(cfg.get("max_simple_words"), 28)
if len(text) > max_chars:
return None
if len(text.split()) > max_words:
return None
if text.count("\n") > 1:
return None
if "```" in text or "`" in text:
return None
if _URL_RE.search(text):
return None
lowered = text.lower()
words = {token.strip(".,:;!?()[]{}\"'`") for token in lowered.split()}
if words & _COMPLEX_KEYWORDS:
return None
route = dict(cheap_model)
route["provider"] = provider
route["model"] = model
route["routing_reason"] = "simple_turn"
return route
def resolve_turn_route(user_message: str, routing_config: Optional[Dict[str, Any]], primary: Dict[str, Any]) -> Dict[str, Any]:
"""Resolve the effective model/runtime for one turn.
Returns a dict with model/runtime/signature/label fields.
"""
route = choose_cheap_model_route(user_message, routing_config)
if not route:
return {
"model": primary.get("model"),
"runtime": {
"api_key": primary.get("api_key"),
"base_url": primary.get("base_url"),
"provider": primary.get("provider"),
"api_mode": primary.get("api_mode"),
"command": primary.get("command"),
"args": list(primary.get("args") or []),
"credential_pool": primary.get("credential_pool"),
},
"label": None,
"signature": (
primary.get("model"),
primary.get("provider"),
primary.get("base_url"),
primary.get("api_mode"),
primary.get("command"),
tuple(primary.get("args") or ()),
),
}
from hermes_cli.runtime_provider import resolve_runtime_provider
explicit_api_key = None
api_key_env = str(route.get("api_key_env") or "").strip()
if api_key_env:
explicit_api_key = os.getenv(api_key_env) or None
try:
runtime = resolve_runtime_provider(
requested=route.get("provider"),
explicit_api_key=explicit_api_key,
explicit_base_url=route.get("base_url"),
)
except Exception:
return {
"model": primary.get("model"),
"runtime": {
"api_key": primary.get("api_key"),
"base_url": primary.get("base_url"),
"provider": primary.get("provider"),
"api_mode": primary.get("api_mode"),
"command": primary.get("command"),
"args": list(primary.get("args") or []),
"credential_pool": primary.get("credential_pool"),
},
"label": None,
"signature": (
primary.get("model"),
primary.get("provider"),
primary.get("base_url"),
primary.get("api_mode"),
primary.get("command"),
tuple(primary.get("args") or ()),
),
}
return {
"model": route.get("model"),
"runtime": {
"api_key": runtime.get("api_key"),
"base_url": runtime.get("base_url"),
"provider": runtime.get("provider"),
"api_mode": runtime.get("api_mode"),
"command": runtime.get("command"),
"args": list(runtime.get("args") or []),
"credential_pool": runtime.get("credential_pool"),
},
"label": f"smart route → {route.get('model')} ({runtime.get('provider')})",
"signature": (
route.get("model"),
runtime.get("provider"),
runtime.get("base_url"),
runtime.get("api_mode"),
runtime.get("command"),
tuple(runtime.get("args") or ()),
),
}
-39
View File
@@ -1,39 +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
-129
View File
@@ -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
View File
@@ -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
-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)
+17 -84
View File
@@ -63,38 +63,7 @@ model:
# Leave unset to use the model's native output ceiling (recommended).
# Set only if you want to deliberately limit individual response length.
#
# max_tokens: 8192
# Named provider overrides (optional)
# Use this for per-provider request timeouts, non-stream stale timeouts,
# and per-model exceptions.
# Applies to the primary turn client on every api_mode (OpenAI-wire, native
# Anthropic, and Anthropic-compatible providers), the fallback chain, and
# client rebuilds during credential rotation. For OpenAI-wire chat
# completions (streaming and non-streaming) the configured value is also
# used as the per-request ``timeout=`` kwarg so it wins over the legacy
# HERMES_API_TIMEOUT env var (which still applies when no config is set).
# ``stale_timeout_seconds`` controls the non-streaming stale-call detector and
# wins over the legacy HERMES_API_CALL_STALE_TIMEOUT env var. Leaving these
# unset keeps the legacy defaults (HERMES_API_TIMEOUT=1800s,
# HERMES_API_CALL_STALE_TIMEOUT=300s, native Anthropic 900s).
#
# Not currently wired for AWS Bedrock (bedrock_converse + AnthropicBedrock
# SDK paths) — those use boto3 with its own timeout configuration.
#
# providers:
# ollama-local:
# request_timeout_seconds: 300 # Longer timeout for local cold-starts
# stale_timeout_seconds: 900 # Explicitly re-enable stale detection on local endpoints
# anthropic:
# request_timeout_seconds: 30 # Fast-fail cloud requests
# models:
# claude-opus-4.6:
# timeout_seconds: 600 # Longer timeout for extended-thinking Opus calls
# openai-codex:
# models:
# gpt-5.4:
# stale_timeout_seconds: 1800 # Longer non-stream stale timeout for slow large-context turns
# max_tokens: 8192
# =============================================================================
# OpenRouter Provider Routing (only applies when using OpenRouter)
@@ -122,6 +91,20 @@ model:
# # Data policy: "allow" (default) or "deny" to exclude providers that may store data
# # data_collection: "deny"
# =============================================================================
# Smart Model Routing (optional)
# =============================================================================
# Use a cheaper model for short/simple turns while keeping your main model for
# more complex requests. Disabled by default.
#
# smart_model_routing:
# enabled: true
# max_simple_chars: 160
# max_simple_words: 28
# cheap_model:
# provider: openrouter
# model: google/gemini-2.5-flash
# =============================================================================
# Git Worktree Isolation
# =============================================================================
@@ -374,18 +357,6 @@ compression:
# web_extract:
# provider: "auto"
# model: ""
#
# # Session search — summarizes matching past sessions
# session_search:
# provider: "auto"
# model: ""
# timeout: 30
# max_concurrency: 3 # Limit parallel summaries to reduce request-burst 429s
# extra_body: {} # Provider-specific OpenAI-compatible request fields
# # Example for providers that support request-body
# # reasoning controls:
# # extra_body:
# # enable_thinking: false
# =============================================================================
# Persistent Memory
@@ -770,12 +741,10 @@ 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 +888,3 @@ 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
+166 -602
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File diff suppressed because it is too large Load Diff
+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]]:
+57 -78
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:
@@ -835,6 +826,7 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
# Provider routing
pr = _cfg.get("provider_routing", {})
smart_routing = _cfg.get("smart_model_routing", {}) or {}
from hermes_cli.runtime_provider import (
resolve_runtime_provider,
@@ -851,9 +843,24 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
message = format_runtime_provider_error(exc)
raise RuntimeError(message) from exc
from agent.smart_model_routing import resolve_turn_route
turn_route = resolve_turn_route(
prompt,
smart_routing,
{
"model": model,
"api_key": runtime.get("api_key"),
"base_url": runtime.get("base_url"),
"provider": runtime.get("provider"),
"api_mode": runtime.get("api_mode"),
"command": runtime.get("command"),
"args": list(runtime.get("args") or []),
},
)
fallback_model = _cfg.get("fallback_providers") or _cfg.get("fallback_model") or None
credential_pool = None
runtime_provider = str(runtime.get("provider") or "").strip().lower()
runtime_provider = str(turn_route["runtime"].get("provider") or "").strip().lower()
if runtime_provider:
try:
from agent.credential_pool import load_pool
@@ -870,13 +877,13 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
logger.debug("Job '%s': failed to load credential pool for %s: %s", job_id, runtime_provider, e)
agent = AIAgent(
model=model,
api_key=runtime.get("api_key"),
base_url=runtime.get("base_url"),
provider=runtime.get("provider"),
api_mode=runtime.get("api_mode"),
acp_command=runtime.get("command"),
acp_args=runtime.get("args"),
model=turn_route["model"],
api_key=turn_route["runtime"].get("api_key"),
base_url=turn_route["runtime"].get("base_url"),
provider=turn_route["runtime"].get("provider"),
api_mode=turn_route["runtime"].get("api_mode"),
acp_command=turn_route["runtime"].get("command"),
acp_args=turn_route["runtime"].get("args"),
max_iterations=max_iterations,
reasoning_config=reasoning_config,
prefill_messages=prefill_messages,
@@ -1021,8 +1028,16 @@ 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 +1090,15 @@ 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 +1130,13 @@ 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 -23
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:
@@ -670,7 +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):
@@ -707,20 +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", {})
@@ -1258,6 +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})
+35 -162
View File
@@ -6,7 +6,6 @@ and implement the required methods.
"""
import asyncio
import inspect
import ipaddress
import logging
import os
@@ -19,8 +18,6 @@ import uuid
from abc import ABC, abstractmethod
from urllib.parse import urlsplit
from utils import normalize_proxy_url
logger = logging.getLogger(__name__)
@@ -161,13 +158,13 @@ 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 +390,12 @@ 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 +413,7 @@ 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 +429,7 @@ 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 +509,12 @@ 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 +532,7 @@ 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 +548,7 @@ 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
# ---------------------------------------------------------------------------
@@ -906,11 +880,10 @@ class BasePlatformAdapter(ABC):
# working on a task after --replace or manual restarts.
self._background_tasks: set[asyncio.Task] = set()
# One-shot callbacks to fire after the main response is delivered.
# Keyed by session_key. Values are either a bare callback (legacy) or
# a ``(generation, callback)`` tuple so GatewayRunner can make deferred
# deliveries generation-aware and avoid stale runs clearing callbacks
# registered by a fresher run for the same session.
self._post_delivery_callbacks: Dict[str, Any] = {}
# Keyed by session_key. GatewayRunner uses this to defer
# background-review notifications ("💾 Skill created") until the
# primary reply has been sent.
self._post_delivery_callbacks: Dict[str, Callable] = {}
self._expected_cancelled_tasks: set[asyncio.Task] = set()
self._busy_session_handler: Optional[Callable[[MessageEvent, str], Awaitable[bool]]] = None
# Chats where auto-TTS on voice input is disabled (set by /voice off)
@@ -1343,7 +1316,7 @@ 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()
@@ -1428,13 +1401,7 @@ class BasePlatformAdapter(ABC):
return paths, cleaned
async def _keep_typing(
self,
chat_id: str,
interval: float = 2.0,
metadata=None,
stop_event: asyncio.Event | None = None,
) -> None:
async def _keep_typing(self, chat_id: str, interval: float = 2.0, metadata=None) -> None:
"""
Continuously send typing indicator until cancelled.
@@ -1448,18 +1415,9 @@ class BasePlatformAdapter(ABC):
"""
try:
while True:
if stop_event is not None and stop_event.is_set():
return
if chat_id not in self._typing_paused:
await self.send_typing(chat_id, metadata=metadata)
if stop_event is None:
await asyncio.sleep(interval)
continue
try:
await asyncio.wait_for(stop_event.wait(), timeout=interval)
except asyncio.TimeoutError:
continue
return
await asyncio.sleep(interval)
except asyncio.CancelledError:
pass # Normal cancellation when handler completes
finally:
@@ -1486,59 +1444,6 @@ class BasePlatformAdapter(ABC):
"""Resume typing indicator for a chat after approval resolves."""
self._typing_paused.discard(chat_id)
async def interrupt_session_activity(self, session_key: str, chat_id: str) -> None:
"""Signal the active session loop to stop and clear typing immediately."""
if session_key:
interrupt_event = self._active_sessions.get(session_key)
if interrupt_event is not None:
interrupt_event.set()
try:
await self.stop_typing(chat_id)
except Exception:
pass
def register_post_delivery_callback(
self,
session_key: str,
callback: Callable,
*,
generation: int | None = None,
) -> None:
"""Register a deferred callback to fire after the main response.
``generation`` lets callers tie the callback to a specific gateway run
generation so stale runs cannot clear callbacks owned by a fresher run.
"""
if not session_key or not callable(callback):
return
if generation is None:
self._post_delivery_callbacks[session_key] = callback
else:
self._post_delivery_callbacks[session_key] = (int(generation), callback)
def pop_post_delivery_callback(
self,
session_key: str,
*,
generation: int | None = None,
) -> Callable | None:
"""Pop a deferred callback, optionally requiring generation ownership."""
if not session_key:
return None
entry = self._post_delivery_callbacks.get(session_key)
if entry is None:
return None
if isinstance(entry, tuple) and len(entry) == 2:
entry_generation, callback = entry
if generation is not None and int(entry_generation) != int(generation):
return None
self._post_delivery_callbacks.pop(session_key, None)
return callback if callable(callback) else None
if generation is not None:
return None
self._post_delivery_callbacks.pop(session_key, None)
return entry if callable(entry) else None
# ── Processing lifecycle hooks ──────────────────────────────────────────
# Subclasses override these to react to message processing events
# (e.g. Discord adds 👀/✅/❌ reactions).
@@ -1779,6 +1684,8 @@ 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
@@ -1807,23 +1714,10 @@ class BasePlatformAdapter(ABC):
# Fall back to a new Event only if the entry was removed externally.
interrupt_event = self._active_sessions.get(session_key) or asyncio.Event()
self._active_sessions[session_key] = interrupt_event
callback_generation = getattr(interrupt_event, "_hermes_run_generation", None)
# Start continuous typing indicator (refreshes every 2 seconds)
_thread_metadata = {"thread_id": event.source.thread_id} if event.source.thread_id else None
_keep_typing_kwargs = {"metadata": _thread_metadata}
try:
_keep_typing_sig = inspect.signature(self._keep_typing)
except (TypeError, ValueError):
_keep_typing_sig = None
if _keep_typing_sig is None or "stop_event" in _keep_typing_sig.parameters:
_keep_typing_kwargs["stop_event"] = interrupt_event
typing_task = asyncio.create_task(
self._keep_typing(
event.source.chat_id,
**_keep_typing_kwargs,
)
)
typing_task = asyncio.create_task(self._keep_typing(event.source.chat_id, metadata=_thread_metadata))
try:
await self._run_processing_hook("on_processing_start", event)
@@ -2082,14 +1976,7 @@ class BasePlatformAdapter(ABC):
finally:
# Fire any one-shot post-delivery callback registered for this
# session (e.g. deferred background-review notifications).
_callback_generation = callback_generation
if hasattr(self, "pop_post_delivery_callback"):
_post_cb = self.pop_post_delivery_callback(
session_key,
generation=_callback_generation,
)
else:
_post_cb = getattr(self, "_post_delivery_callbacks", {}).pop(session_key, None)
_post_cb = getattr(self, "_post_delivery_callbacks", {}).pop(session_key, None)
if callable(_post_cb):
try:
_post_cb()
@@ -2135,10 +2022,10 @@ class BasePlatformAdapter(ABC):
pass
# Leave _active_sessions[session_key] populated — the drain
# task's own lifecycle will clean it up.
else:
# Clean up session tracking
if session_key in self._active_sessions:
del self._active_sessions[session_key]
return
# Clean up session tracking
if session_key in self._active_sessions:
del self._active_sessions[session_key]
async def cancel_background_tasks(self) -> None:
"""Cancel any in-flight background message-processing tasks.
@@ -2146,26 +2033,12 @@ class BasePlatformAdapter(ABC):
Used during gateway shutdown/replacement so active sessions from the old
process do not keep running after adapters are being torn down.
"""
# Loop until no new tasks appear. Without this, a message
# arriving during the `await asyncio.gather` below would spawn
# a fresh _process_message_background task (added to
# self._background_tasks at line ~1668 via handle_message),
# and the _background_tasks.clear() at the end of this method
# would drop the reference — the task runs untracked against a
# disconnecting adapter, logs send-failures, and may linger
# until it completes on its own. Retrying the drain until the
# task set stabilizes closes the window.
MAX_DRAIN_ROUNDS = 5
for _ in range(MAX_DRAIN_ROUNDS):
tasks = [task for task in self._background_tasks if not task.done()]
if not tasks:
break
for task in tasks:
self._expected_cancelled_tasks.add(task)
task.cancel()
tasks = [task for task in self._background_tasks if not task.done()]
for task in tasks:
self._expected_cancelled_tasks.add(task)
task.cancel()
if tasks:
await asyncio.gather(*tasks, return_exceptions=True)
# Loop: late-arrival tasks spawned during the gather above
# will be in self._background_tasks now. Re-check.
self._background_tasks.clear()
self._expected_cancelled_tasks.clear()
self._pending_messages.clear()
+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
+48 -68
View File
@@ -498,7 +498,6 @@ class DiscordAdapter(BasePlatformAdapter):
self._allowed_role_ids: set = set() # For DISCORD_ALLOWED_ROLES filtering
# Voice channel state (per-guild)
self._voice_clients: Dict[int, Any] = {} # guild_id -> VoiceClient
self._voice_locks: Dict[int, asyncio.Lock] = {} # guild_id -> serialize join/leave
# Text batching: merge rapid successive messages (Telegram-style)
self._text_batch_delay_seconds = float(os.getenv("HERMES_DISCORD_TEXT_BATCH_DELAY_SECONDS", "0.6"))
self._text_batch_split_delay_seconds = float(os.getenv("HERMES_DISCORD_TEXT_BATCH_SPLIT_DELAY_SECONDS", "2.0"))
@@ -541,6 +540,7 @@ 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
@@ -636,15 +636,6 @@ class DiscordAdapter(BasePlatformAdapter):
@self._client.event
async def on_message(message: DiscordMessage):
# Block until _resolve_allowed_usernames has swapped
# any raw usernames in DISCORD_ALLOWED_USERS for numeric
# IDs (otherwise on_message's author.id lookup can miss).
if not adapter_self._ready_event.is_set():
try:
await asyncio.wait_for(adapter_self._ready_event.wait(), timeout=30.0)
except asyncio.TimeoutError:
pass
# Dedup: Discord RESUME replays events after reconnects (#4777)
if adapter_self._dedup.is_duplicate(str(message.id)):
return
@@ -1080,8 +1071,6 @@ class DiscordAdapter(BasePlatformAdapter):
chat_id: str,
message_id: str,
content: str,
*,
finalize: bool = False,
) -> SendResult:
"""Edit a previously sent Discord message."""
if not self._client:
@@ -1248,53 +1237,51 @@ class DiscordAdapter(BasePlatformAdapter):
return False
guild_id = channel.guild.id
async with self._voice_locks.setdefault(guild_id, asyncio.Lock()):
# Already connected in this guild?
existing = self._voice_clients.get(guild_id)
if existing and existing.is_connected():
if existing.channel.id == channel.id:
self._reset_voice_timeout(guild_id)
return True
await existing.move_to(channel)
# Already connected in this guild?
existing = self._voice_clients.get(guild_id)
if existing and existing.is_connected():
if existing.channel.id == channel.id:
self._reset_voice_timeout(guild_id)
return True
vc = await channel.connect()
self._voice_clients[guild_id] = vc
await existing.move_to(channel)
self._reset_voice_timeout(guild_id)
# Start voice receiver (Phase 2: listen to users)
try:
receiver = VoiceReceiver(vc, allowed_user_ids=self._allowed_user_ids)
receiver.start()
self._voice_receivers[guild_id] = receiver
self._voice_listen_tasks[guild_id] = asyncio.ensure_future(
self._voice_listen_loop(guild_id)
)
except Exception as e:
logger.warning("Voice receiver failed to start: %s", e)
return True
vc = await channel.connect()
self._voice_clients[guild_id] = vc
self._reset_voice_timeout(guild_id)
# Start voice receiver (Phase 2: listen to users)
try:
receiver = VoiceReceiver(vc, allowed_user_ids=self._allowed_user_ids)
receiver.start()
self._voice_receivers[guild_id] = receiver
self._voice_listen_tasks[guild_id] = asyncio.ensure_future(
self._voice_listen_loop(guild_id)
)
except Exception as e:
logger.warning("Voice receiver failed to start: %s", e)
return True
async def leave_voice_channel(self, guild_id: int) -> None:
"""Disconnect from the voice channel in a guild."""
async with self._voice_locks.setdefault(guild_id, asyncio.Lock()):
# Stop voice receiver first
receiver = self._voice_receivers.pop(guild_id, None)
if receiver:
receiver.stop()
listen_task = self._voice_listen_tasks.pop(guild_id, None)
if listen_task:
listen_task.cancel()
# Stop voice receiver first
receiver = self._voice_receivers.pop(guild_id, None)
if receiver:
receiver.stop()
listen_task = self._voice_listen_tasks.pop(guild_id, None)
if listen_task:
listen_task.cancel()
vc = self._voice_clients.pop(guild_id, None)
if vc and vc.is_connected():
await vc.disconnect()
task = self._voice_timeout_tasks.pop(guild_id, None)
if task:
task.cancel()
self._voice_text_channels.pop(guild_id, None)
self._voice_sources.pop(guild_id, None)
vc = self._voice_clients.pop(guild_id, None)
if vc and vc.is_connected():
await vc.disconnect()
task = self._voice_timeout_tasks.pop(guild_id, None)
if task:
task.cancel()
self._voice_text_channels.pop(guild_id, None)
self._voice_sources.pop(guild_id, None)
# Maximum seconds to wait for voice playback before giving up
PLAYBACK_TIMEOUT = 120
@@ -1421,7 +1408,8 @@ 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 +2948,6 @@ 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 +2985,13 @@ 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 +3013,7 @@ 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 +3153,7 @@ 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
+36 -240
View File
@@ -8,8 +8,7 @@ Supports:
- Gateway allowlist integration via FEISHU_ALLOWED_USERS
- Persistent dedup state across restarts
- Per-chat serial message processing (matches openclaw createChatQueue)
- Processing status reactions: Typing while working, removed on success,
swapped for CrossMark on failure
- Persistent ACK emoji reaction on inbound messages
- Reaction events routed as synthetic text events (matches openclaw)
- Interactive card button-click events routed as synthetic COMMAND events
- Webhook anomaly tracking (matches openclaw createWebhookAnomalyTracker)
@@ -30,7 +29,6 @@ import re
import threading
import time
import uuid
from collections import OrderedDict
from dataclasses import dataclass, field
from datetime import datetime
from pathlib import Path
@@ -100,7 +98,6 @@ from gateway.platforms.base import (
BasePlatformAdapter,
MessageEvent,
MessageType,
ProcessingOutcome,
SendResult,
SUPPORTED_DOCUMENT_TYPES,
cache_document_from_bytes,
@@ -122,8 +119,6 @@ _MARKDOWN_HINT_RE = re.compile(
re.MULTILINE,
)
_MARKDOWN_LINK_RE = re.compile(r"\[([^\]]+)\]\(([^)]+)\)")
_MARKDOWN_FENCE_OPEN_RE = re.compile(r"^```([^\n`]*)\s*$")
_MARKDOWN_FENCE_CLOSE_RE = re.compile(r"^```\s*$")
_MENTION_RE = re.compile(r"@_user_\d+")
_MULTISPACE_RE = re.compile(r"[ \t]{2,}")
_POST_CONTENT_INVALID_RE = re.compile(r"content format of the post type is incorrect", re.IGNORECASE)
@@ -193,17 +188,7 @@ _APPROVAL_LABEL_MAP: Dict[str, str] = {
}
_FEISHU_BOT_MSG_TRACK_SIZE = 512 # LRU size for tracking sent message IDs
_FEISHU_REPLY_FALLBACK_CODES = frozenset({230011, 231003}) # reply target withdrawn/missing → create fallback
# Feishu reactions render as prominent badges, unlike Discord/Telegram's
# small footer emoji — a success badge on every message would add noise, so
# we only mark start (Typing) and failure (CrossMark); the reply itself is
# the success signal.
_FEISHU_REACTION_IN_PROGRESS = "Typing"
_FEISHU_REACTION_FAILURE = "CrossMark"
# Bound on the (message_id → reaction_id) handle cache. Happy-path entries
# drain on completion; the cap is a safeguard against unbounded growth from
# delete-failures, not a capacity plan.
_FEISHU_PROCESSING_REACTION_CACHE_SIZE = 1024
_FEISHU_ACK_EMOJI = "OK"
# QR onboarding constants
_ONBOARD_ACCOUNTS_URLS = {
@@ -445,66 +430,23 @@ def _coerce_required_int(value: Any, default: int, min_value: int = 0) -> int:
def _build_markdown_post_payload(content: str) -> str:
rows = _build_markdown_post_rows(content)
return json.dumps(
{
"zh_cn": {
"content": rows,
"content": [
[
{
"tag": "md",
"text": content,
}
]
],
}
},
ensure_ascii=False,
)
def _build_markdown_post_rows(content: str) -> List[List[Dict[str, str]]]:
"""Build Feishu post rows while isolating fenced code blocks.
Feishu's `md` renderer can swallow trailing content when a fenced code block
appears inside one large markdown element. Split the reply at real fence
lines so prose before/after the code block remains visible while code stays
in a dedicated row.
"""
if not content:
return [[{"tag": "md", "text": ""}]]
if "```" not in content:
return [[{"tag": "md", "text": content}]]
rows: List[List[Dict[str, str]]] = []
current: List[str] = []
in_code_block = False
def _flush_current() -> None:
nonlocal current
if not current:
return
segment = "\n".join(current)
if segment.strip():
rows.append([{"tag": "md", "text": segment}])
current = []
for raw_line in content.splitlines():
stripped_line = raw_line.strip()
is_fence = bool(
_MARKDOWN_FENCE_CLOSE_RE.match(stripped_line)
if in_code_block
else _MARKDOWN_FENCE_OPEN_RE.match(stripped_line)
)
if is_fence:
if not in_code_block:
_flush_current()
current.append(raw_line)
in_code_block = not in_code_block
if not in_code_block:
_flush_current()
continue
current.append(raw_line)
_flush_current()
return rows or [[{"tag": "md", "text": content}]]
def parse_feishu_post_payload(payload: Any) -> FeishuPostParseResult:
resolved = _resolve_post_payload(payload)
if not resolved:
@@ -1154,9 +1096,6 @@ class FeishuAdapter(BasePlatformAdapter):
# Exec approval button state (approval_id → {session_key, message_id, chat_id})
self._approval_state: Dict[int, Dict[str, str]] = {}
self._approval_counter = itertools.count(1)
# Feishu reaction deletion requires the opaque reaction_id returned
# by create, so we cache it per message_id.
self._pending_processing_reactions: "OrderedDict[str, str]" = OrderedDict()
self._load_seen_message_ids()
@staticmethod
@@ -1484,8 +1423,6 @@ class FeishuAdapter(BasePlatformAdapter):
chat_id: str,
message_id: str,
content: str,
*,
finalize: bool = False,
) -> SendResult:
"""Edit a previously sent Feishu text/post message."""
if not self._client:
@@ -1988,8 +1925,8 @@ class FeishuAdapter(BasePlatformAdapter):
if not message_id or self._is_duplicate(message_id):
logger.debug("[Feishu] Dropping duplicate/missing message_id: %s", message_id)
return
if self._is_self_sent_bot_message(event):
logger.debug("[Feishu] Dropping self-sent bot event: %s", message_id)
if getattr(sender, "sender_type", "") == "bot":
logger.debug("[Feishu] Dropping bot-originated event: %s", message_id)
return
chat_type = getattr(message, "chat_type", "p2p")
@@ -2066,12 +2003,12 @@ class FeishuAdapter(BasePlatformAdapter):
operator_type,
emoji_type,
)
# Drop bot/app-origin reactions to break the feedback loop from our
# own lifecycle reactions. A human reacting with the same emoji (e.g.
# clicking Typing on a bot message) is still routed through.
# Only process reactions from real users. Ignore app/bot-generated reactions
# and Hermes' own ACK emoji to avoid feedback loops.
loop = self._loop
if (
operator_type in {"bot", "app"}
or emoji_type == _FEISHU_ACK_EMOJI
or not message_id
or loop is None
or bool(getattr(loop, "is_closed", lambda: False)())
@@ -2295,35 +2232,33 @@ class FeishuAdapter(BasePlatformAdapter):
async def _handle_message_with_guards(self, event: MessageEvent) -> None:
"""Dispatch a single event through the agent pipeline with per-chat serialization
before handing the event off to the agent.
and a persistent ACK emoji reaction before processing starts.
Per-chat lock ensures messages in the same chat are processed one at a
time (matches openclaw's createChatQueue serial queue behaviour).
- Per-chat lock: ensures messages in the same chat are processed one at a time
(matches openclaw's createChatQueue serial queue behaviour).
- ACK indicator: adds a CHECK reaction to the triggering message before handing
off to the agent and leaves it in place as a receipt marker.
"""
chat_id = getattr(event.source, "chat_id", "") or "" if event.source else ""
chat_lock = self._get_chat_lock(chat_id)
async with chat_lock:
message_id = event.message_id
if message_id:
await self._add_ack_reaction(message_id)
await self.handle_message(event)
# =========================================================================
# Processing status reactions
# =========================================================================
def _reactions_enabled(self) -> bool:
return os.getenv("FEISHU_REACTIONS", "true").strip().lower() not in ("false", "0", "no")
async def _add_reaction(self, message_id: str, emoji_type: str) -> Optional[str]:
"""Return the reaction_id on success, else None. The id is needed later for deletion."""
if not self._client or not message_id or not emoji_type:
async def _add_ack_reaction(self, message_id: str) -> Optional[str]:
"""Add a persistent ACK emoji reaction to signal the message was received."""
if not self._client or not message_id:
return None
try:
from lark_oapi.api.im.v1 import (
from lark_oapi.api.im.v1 import ( # lazy import — keeps optional dep optional
CreateMessageReactionRequest,
CreateMessageReactionRequestBody,
)
body = (
CreateMessageReactionRequestBody.builder()
.reaction_type({"emoji_type": emoji_type})
.reaction_type({"emoji_type": _FEISHU_ACK_EMOJI})
.build()
)
request = (
@@ -2336,93 +2271,16 @@ class FeishuAdapter(BasePlatformAdapter):
if response and getattr(response, "success", lambda: False)():
data = getattr(response, "data", None)
return getattr(data, "reaction_id", None)
logger.debug(
"[Feishu] Add reaction %s on %s rejected: code=%s msg=%s",
emoji_type,
logger.warning(
"[Feishu] Failed to add ack reaction to %s: code=%s msg=%s",
message_id,
getattr(response, "code", None),
getattr(response, "msg", None),
)
except Exception:
logger.warning(
"[Feishu] Add reaction %s on %s raised",
emoji_type,
message_id,
exc_info=True,
)
logger.warning("[Feishu] Failed to add ack reaction to %s", message_id, exc_info=True)
return None
async def _remove_reaction(self, message_id: str, reaction_id: str) -> bool:
if not self._client or not message_id or not reaction_id:
return False
try:
from lark_oapi.api.im.v1 import DeleteMessageReactionRequest
request = (
DeleteMessageReactionRequest.builder()
.message_id(message_id)
.reaction_id(reaction_id)
.build()
)
response = await asyncio.to_thread(self._client.im.v1.message_reaction.delete, request)
if response and getattr(response, "success", lambda: False)():
return True
logger.debug(
"[Feishu] Remove reaction %s on %s rejected: code=%s msg=%s",
reaction_id,
message_id,
getattr(response, "code", None),
getattr(response, "msg", None),
)
except Exception:
logger.warning(
"[Feishu] Remove reaction %s on %s raised",
reaction_id,
message_id,
exc_info=True,
)
return False
def _remember_processing_reaction(self, message_id: str, reaction_id: str) -> None:
cache = self._pending_processing_reactions
cache[message_id] = reaction_id
cache.move_to_end(message_id)
while len(cache) > _FEISHU_PROCESSING_REACTION_CACHE_SIZE:
cache.popitem(last=False)
def _pop_processing_reaction(self, message_id: str) -> Optional[str]:
return self._pending_processing_reactions.pop(message_id, None)
async def on_processing_start(self, event: MessageEvent) -> None:
if not self._reactions_enabled():
return
message_id = event.message_id
if not message_id or message_id in self._pending_processing_reactions:
return
reaction_id = await self._add_reaction(message_id, _FEISHU_REACTION_IN_PROGRESS)
if reaction_id:
self._remember_processing_reaction(message_id, reaction_id)
async def on_processing_complete(
self, event: MessageEvent, outcome: ProcessingOutcome
) -> None:
if not self._reactions_enabled():
return
message_id = event.message_id
if not message_id:
return
start_reaction_id = self._pending_processing_reactions.get(message_id)
if start_reaction_id:
if not await self._remove_reaction(message_id, start_reaction_id):
# Don't stack a second badge on top of a Typing we couldn't
# remove — UI would read as both "working" and "done/failed"
# simultaneously. Keep the handle so LRU eventually evicts it.
return
self._pop_processing_reaction(message_id)
if outcome is ProcessingOutcome.FAILURE:
await self._add_reaction(message_id, _FEISHU_REACTION_FAILURE)
# =========================================================================
# Webhook server and security
# =========================================================================
@@ -3391,23 +3249,6 @@ class FeishuAdapter(BasePlatformAdapter):
return self._post_mentions_bot(normalized.mentioned_ids)
return False
def _is_self_sent_bot_message(self, event: Any) -> bool:
"""Return True only for Feishu events emitted by this Hermes bot."""
sender = getattr(event, "sender", None)
sender_type = str(getattr(sender, "sender_type", "") or "").strip().lower()
if sender_type not in {"bot", "app"}:
return False
sender_id = getattr(sender, "sender_id", None)
sender_open_id = str(getattr(sender_id, "open_id", "") or "").strip()
sender_user_id = str(getattr(sender_id, "user_id", "") or "").strip()
if self._bot_open_id and sender_open_id == self._bot_open_id:
return True
if self._bot_user_id and sender_user_id == self._bot_user_id:
return True
return False
def _message_mentions_bot(self, mentions: List[Any]) -> bool:
"""Check whether any mention targets the configured or inferred bot identity."""
for mention in mentions:
@@ -3435,55 +3276,10 @@ class FeishuAdapter(BasePlatformAdapter):
return False
async def _hydrate_bot_identity(self) -> None:
"""Best-effort discovery of bot identity for precise group mention gating
and self-sent bot event filtering.
Populates ``_bot_open_id`` and ``_bot_name`` from /open-apis/bot/v3/info
(no extra scopes required beyond the tenant access token). Falls back to
the application info endpoint for ``_bot_name`` only when the first probe
doesn't return it. Each field is hydrated independently — a value already
supplied via env vars (FEISHU_BOT_OPEN_ID / FEISHU_BOT_USER_ID /
FEISHU_BOT_NAME) is preserved and skips its probe.
"""
"""Best-effort discovery of bot identity for precise group mention gating."""
if not self._client:
return
if self._bot_open_id and self._bot_name:
# Everything the self-send filter and precise mention gate need is
# already in place; nothing to probe.
return
# Primary probe: /open-apis/bot/v3/info — returns bot_name + open_id, no
# extra scopes required. This is the same endpoint the onboarding wizard
# uses via probe_bot().
if not self._bot_open_id or not self._bot_name:
try:
resp = await asyncio.to_thread(
self._client.request,
method="GET",
url="/open-apis/bot/v3/info",
body=None,
raw_response=True,
)
content = getattr(resp, "content", None)
if content:
payload = json.loads(content)
parsed = _parse_bot_response(payload) or {}
open_id = (parsed.get("bot_open_id") or "").strip()
bot_name = (parsed.get("bot_name") or "").strip()
if open_id and not self._bot_open_id:
self._bot_open_id = open_id
if bot_name and not self._bot_name:
self._bot_name = bot_name
except Exception:
logger.debug(
"[Feishu] /bot/v3/info probe failed during hydration",
exc_info=True,
)
# Fallback probe for _bot_name only: application info endpoint. Needs
# admin:app.info:readonly or application:application:self_manage scope,
# so it's best-effort.
if self._bot_name:
if any((self._bot_open_id, self._bot_user_id, self._bot_name)):
return
try:
request = self._build_get_application_request(app_id=self._app_id, lang="en_us")
@@ -3492,17 +3288,17 @@ class FeishuAdapter(BasePlatformAdapter):
code = getattr(response, "code", None)
if code == 99991672:
logger.warning(
"[Feishu] Unable to hydrate bot name from application info. "
"[Feishu] Unable to hydrate bot identity from application info. "
"Grant admin:app.info:readonly or application:application:self_manage "
"so group @mention gating can resolve the bot name precisely."
)
return
app = getattr(getattr(response, "data", None), "app", None)
app_name = (getattr(app, "app_name", None) or "").strip()
if app_name and not self._bot_name:
if app_name:
self._bot_name = app_name
except Exception:
logger.debug("[Feishu] Failed to hydrate bot name from application info", exc_info=True)
logger.debug("[Feishu] Failed to hydrate bot identity", exc_info=True)
# =========================================================================
# Deduplication — seen message ID cache (persistent)
+1 -1
View File
@@ -825,7 +825,7 @@ class MatrixAdapter(BasePlatformAdapter):
async def edit_message(
self, chat_id: str, message_id: str, content: str, *, finalize: bool = False
self, chat_id: str, message_id: str, content: str
) -> SendResult:
"""Edit an existing message (via m.replace)."""
+2 -1
View File
@@ -304,7 +304,7 @@ class MattermostAdapter(BasePlatformAdapter):
)
async def edit_message(
self, chat_id: str, message_id: str, content: str, *, finalize: bool = False
self, chat_id: str, message_id: str, content: str
) -> SendResult:
"""Edit an existing post."""
formatted = self.format_message(content)
@@ -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
+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
+18 -114
View File
@@ -18,7 +18,6 @@ import logging
import os
import random
import time
import uuid
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, List, Optional, Any
@@ -128,27 +127,6 @@ def _render_mentions(text: str, mentions: list) -> str:
return text
def _is_signal_service_id(value: str) -> bool:
"""Return True if *value* already looks like a Signal service identifier."""
if not value:
return False
if value.startswith("PNI:") or value.startswith("u:"):
return True
try:
uuid.UUID(value)
return True
except (ValueError, AttributeError, TypeError):
return False
def _looks_like_e164_number(value: str) -> bool:
"""Return True for a plausible E.164 phone number."""
if not value or not value.startswith("+"):
return False
digits = value[1:]
return digits.isdigit() and 7 <= len(digits) <= 15
def check_signal_requirements() -> bool:
"""Check if Signal is configured (has URL and account)."""
return bool(os.getenv("SIGNAL_HTTP_URL") and os.getenv("SIGNAL_ACCOUNT"))
@@ -201,12 +179,6 @@ class SignalAdapter(BasePlatformAdapter):
# in Note to Self / self-chat mode (mirrors WhatsApp recentlySentIds)
self._recent_sent_timestamps: set = set()
self._max_recent_timestamps = 50
# Signal increasingly exposes ACI/PNI UUIDs as stable recipient IDs.
# Keep a best-effort mapping so outbound sends can upgrade from a
# phone number to the corresponding UUID when signal-cli prefers it.
self._recipient_uuid_by_number: Dict[str, str] = {}
self._recipient_number_by_uuid: Dict[str, str] = {}
self._recipient_cache_lock = asyncio.Lock()
logger.info("Signal adapter initialized: url=%s account=%s groups=%s",
self.http_url, redact_phone(self.account),
@@ -223,40 +195,31 @@ class SignalAdapter(BasePlatformAdapter):
return False
# Acquire scoped lock to prevent duplicate Signal listeners for the same phone
lock_acquired = False
try:
if not self._acquire_platform_lock('signal-phone', self.account, 'Signal account'):
return False
lock_acquired = True
except Exception as e:
logger.warning("Signal: Could not acquire phone lock (non-fatal): %s", e)
self.client = httpx.AsyncClient(timeout=30.0)
# Health check — verify signal-cli daemon is reachable
try:
# Health check — verify signal-cli daemon is reachable
try:
resp = await self.client.get(f"{self.http_url}/api/v1/check", timeout=10.0)
if resp.status_code != 200:
logger.error("Signal: health check failed (status %d)", resp.status_code)
return False
except Exception as e:
logger.error("Signal: cannot reach signal-cli at %s: %s", self.http_url, e)
resp = await self.client.get(f"{self.http_url}/api/v1/check", timeout=10.0)
if resp.status_code != 200:
logger.error("Signal: health check failed (status %d)", resp.status_code)
return False
except Exception as e:
logger.error("Signal: cannot reach signal-cli at %s: %s", self.http_url, e)
return False
self._running = True
self._last_sse_activity = time.time()
self._sse_task = asyncio.create_task(self._sse_listener())
self._health_monitor_task = asyncio.create_task(self._health_monitor())
self._running = True
self._last_sse_activity = time.time()
self._sse_task = asyncio.create_task(self._sse_listener())
self._health_monitor_task = asyncio.create_task(self._health_monitor())
logger.info("Signal: connected to %s", self.http_url)
return True
finally:
if not self._running:
if self.client:
await self.client.aclose()
self.client = None
if lock_acquired:
self._release_platform_lock()
logger.info("Signal: connected to %s", self.http_url)
return True
async def disconnect(self) -> None:
"""Stop SSE listener and clean up."""
@@ -437,7 +400,6 @@ class SignalAdapter(BasePlatformAdapter):
)
sender_name = envelope_data.get("sourceName", "")
sender_uuid = envelope_data.get("sourceUuid", "")
self._remember_recipient_identifiers(sender, sender_uuid)
if not sender:
logger.debug("Signal: ignoring envelope with no sender")
@@ -556,64 +518,6 @@ class SignalAdapter(BasePlatformAdapter):
await self.handle_message(event)
def _remember_recipient_identifiers(self, number: Optional[str], service_id: Optional[str]) -> None:
"""Cache any number↔UUID mapping observed from Signal envelopes."""
if not number or not service_id or not _is_signal_service_id(service_id):
return
self._recipient_uuid_by_number[number] = service_id
self._recipient_number_by_uuid[service_id] = number
def _extract_contact_uuid(self, contact: Any, phone_number: str) -> Optional[str]:
"""Best-effort extraction of a Signal service ID from listContacts output."""
if not isinstance(contact, dict):
return None
number = contact.get("number")
recipient = contact.get("recipient")
service_id = contact.get("uuid") or contact.get("serviceId")
if not service_id:
profile = contact.get("profile")
if isinstance(profile, dict):
service_id = profile.get("serviceId") or profile.get("uuid")
if service_id and _is_signal_service_id(service_id):
matches_number = number == phone_number or recipient == phone_number
if matches_number:
return service_id
return None
async def _resolve_recipient(self, chat_id: str) -> str:
"""Return the preferred Signal recipient identifier for a direct chat."""
if (
not chat_id
or chat_id.startswith("group:")
or _is_signal_service_id(chat_id)
or not _looks_like_e164_number(chat_id)
):
return chat_id
cached = self._recipient_uuid_by_number.get(chat_id)
if cached:
return cached
async with self._recipient_cache_lock:
cached = self._recipient_uuid_by_number.get(chat_id)
if cached:
return cached
contacts = await self._rpc("listContacts", {
"account": self.account,
"allRecipients": True,
})
if isinstance(contacts, list):
for contact in contacts:
number = contact.get("number") if isinstance(contact, dict) else None
service_id = self._extract_contact_uuid(contact, chat_id)
if number and service_id:
self._remember_recipient_identifiers(number, service_id)
return self._recipient_uuid_by_number.get(chat_id, chat_id)
# ------------------------------------------------------------------
# Attachment Handling
# ------------------------------------------------------------------
@@ -729,7 +633,7 @@ class SignalAdapter(BasePlatformAdapter):
if chat_id.startswith("group:"):
params["groupId"] = chat_id[6:]
else:
params["recipient"] = [await self._resolve_recipient(chat_id)]
params["recipient"] = [chat_id]
result = await self._rpc("send", params)
@@ -780,7 +684,7 @@ class SignalAdapter(BasePlatformAdapter):
if chat_id.startswith("group:"):
params["groupId"] = chat_id[6:]
else:
params["recipient"] = [await self._resolve_recipient(chat_id)]
params["recipient"] = [chat_id]
fails = self._typing_failures.get(chat_id, 0)
result = await self._rpc(
@@ -841,7 +745,7 @@ class SignalAdapter(BasePlatformAdapter):
if chat_id.startswith("group:"):
params["groupId"] = chat_id[6:]
else:
params["recipient"] = [await self._resolve_recipient(chat_id)]
params["recipient"] = [chat_id]
result = await self._rpc("send", params)
if result is not None:
@@ -880,7 +784,7 @@ class SignalAdapter(BasePlatformAdapter):
if chat_id.startswith("group:"):
params["groupId"] = chat_id[6:]
else:
params["recipient"] = [await self._resolve_recipient(chat_id)]
params["recipient"] = [chat_id]
result = await self._rpc("send", params)
if result is not None:
+8 -7
View File
@@ -150,11 +150,9 @@ class SlackAdapter(BasePlatformAdapter):
except Exception as e:
logger.warning("[Slack] Failed to read %s: %s", tokens_file, e)
lock_acquired = False
try:
if not self._acquire_platform_lock('slack-app-token', app_token, 'Slack app token'):
return False
lock_acquired = True
# First token is the primary — used for AsyncApp / Socket Mode
primary_token = bot_tokens[0]
@@ -230,9 +228,6 @@ class SlackAdapter(BasePlatformAdapter):
except Exception as e: # pragma: no cover - defensive logging
logger.error("[Slack] Connection failed: %s", e, exc_info=True)
return False
finally:
if lock_acquired and not self._running:
self._release_platform_lock()
async def disconnect(self) -> None:
"""Disconnect from Slack."""
@@ -321,8 +316,6 @@ class SlackAdapter(BasePlatformAdapter):
chat_id: str,
message_id: str,
content: str,
*,
finalize: bool = False,
) -> SendResult:
"""Edit a previously sent Slack message."""
if not self._app:
@@ -1600,9 +1593,11 @@ 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):
@@ -1632,6 +1627,7 @@ 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:
@@ -1640,12 +1636,15 @@ 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):
@@ -1657,6 +1656,7 @@ 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:
@@ -1665,6 +1665,7 @@ class SlackAdapter(BasePlatformAdapter):
await asyncio.sleep(1.5 * (attempt + 1))
continue
raise
raise last_exc
# ── Channel mention gating ─────────────────────────────────────────────
+20 -119
View File
@@ -11,7 +11,6 @@ import asyncio
import json
import logging
import os
import tempfile
import html as _html
import re
from typing import Dict, List, Optional, Any
@@ -71,10 +70,8 @@ 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 +493,6 @@ 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",
@@ -544,23 +534,8 @@ class TelegramAdapter(BasePlatformAdapter):
break
if changed:
fd, tmp_path = tempfile.mkstemp(
dir=str(config_path.parent),
suffix=".tmp",
prefix=".config_",
)
try:
with os.fdopen(fd, "w", encoding="utf-8") as f:
_yaml.dump(config, f, default_flow_style=False, sort_keys=False)
f.flush()
os.fsync(f.fileno())
os.replace(tmp_path, config_path)
except BaseException:
try:
os.unlink(tmp_path)
except OSError:
pass
raise
with open(config_path, "w") as f:
_yaml.dump(config, f, default_flow_style=False, sort_keys=False)
logger.info(
"[%s] Persisted thread_id=%s for topic '%s' in config.yaml",
self.name, thread_id, topic_name,
@@ -794,28 +769,8 @@ 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"
@@ -1126,8 +1081,6 @@ class TelegramAdapter(BasePlatformAdapter):
chat_id: str,
message_id: str,
content: str,
*,
finalize: bool = False,
) -> SendResult:
"""Edit a previously sent Telegram message."""
if not self._bot:
@@ -1704,21 +1657,6 @@ class TelegramAdapter(BasePlatformAdapter):
except Exception as exc:
logger.error("Failed to write update response from callback: %s", exc)
def _missing_media_path_error(self, label: str, path: str) -> str:
"""Build an actionable file-not-found error for gateway MEDIA delivery.
Paths like /workspace/... or /output/... often only exist inside the
Docker sandbox, while the gateway process runs on the host.
"""
error = f"{label} file not found: {path}"
if path.startswith(("/workspace/", "/output/", "/outputs/")):
error += (
" (path may only exist inside the Docker sandbox. "
"Bind-mount a host directory and emit the host-visible "
"path in MEDIA: for gateway file delivery.)"
)
return error
async def send_voice(
self,
chat_id: str,
@@ -1733,8 +1671,9 @@ 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))
return SendResult(success=False, error=f"Audio file not found: {audio_path}")
with open(audio_path, "rb") as audio_file:
# .ogg files -> send as voice (round playable bubble)
@@ -1781,8 +1720,9 @@ 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))
return SendResult(success=False, error=f"Image file not found: {image_path}")
_thread = self._metadata_thread_id(metadata)
with open(image_path, "rb") as image_file:
@@ -1819,7 +1759,7 @@ class TelegramAdapter(BasePlatformAdapter):
try:
if not os.path.exists(file_path):
return SendResult(success=False, error=self._missing_media_path_error("File", file_path))
return SendResult(success=False, error=f"File not found: {file_path}")
display_name = file_name or os.path.basename(file_path)
_thread = self._metadata_thread_id(metadata)
@@ -1853,7 +1793,7 @@ class TelegramAdapter(BasePlatformAdapter):
try:
if not os.path.exists(video_path):
return SendResult(success=False, error=self._missing_media_path_error("Video", video_path))
return SendResult(success=False, error=f"Video file not found: {video_path}")
_thread = self._metadata_thread_id(metadata)
with open(video_path, "rb") as f:
@@ -2093,7 +2033,7 @@ 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):
@@ -2301,27 +2241,22 @@ class TelegramAdapter(BasePlatformAdapter):
bot_username = (getattr(self._bot, "username", None) or "").lstrip("@").lower()
bot_id = getattr(self._bot, "id", None)
expected = f"@{bot_username}" if bot_username else None
def _iter_sources():
yield getattr(message, "text", None) or "", getattr(message, "entities", None) or []
yield getattr(message, "caption", None) or "", getattr(message, "caption_entities", None) or []
# Telegram parses mentions server-side and emits MessageEntity objects
# (type=mention for @username, type=text_mention for @FirstName targeting
# a user without a public username). Only those entities are authoritative —
# raw substring matches like "foo@hermes_bot.example" are not mentions
# (bug #12545). Entities also correctly handle @handles inside URLs, code
# blocks, and quoted text, where a regex scan would over-match.
for source_text, entities in _iter_sources():
if bot_username and f"@{bot_username}" in source_text.lower():
return True
for entity in entities:
entity_type = str(getattr(entity, "type", "")).split(".")[-1].lower()
if entity_type == "mention" and expected:
if entity_type == "mention" and bot_username:
offset = int(getattr(entity, "offset", -1))
length = int(getattr(entity, "length", 0))
if offset < 0 or length <= 0:
continue
if source_text[offset:offset + length].strip().lower() == expected:
if source_text[offset:offset + length].strip().lower() == f"@{bot_username}":
return True
elif entity_type == "text_mention":
user = getattr(entity, "user", None)
@@ -2353,16 +2288,10 @@ 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 +2306,8 @@ 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 +2590,6 @@ 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 +2606,6 @@ 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 +2744,13 @@ 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")
+12 -115
View File
@@ -13,10 +13,6 @@ Each route defines:
- skills: optional list of skills to load for the agent
- deliver: where to send the response (github_comment, telegram, etc.)
- deliver_extra: additional delivery config (repo, pr_number, chat_id)
- deliver_only: if true, skip the agent the rendered prompt IS the
message that gets delivered. Use for external push notifications
(Supabase, monitoring alerts, inter-agent pings) where zero LLM cost
and sub-second delivery matter more than agent reasoning.
Security:
- HMAC secret is required per route (validated at startup)
@@ -126,19 +122,6 @@ class WebhookAdapter(BasePlatformAdapter):
f"For testing without auth, set secret to '{_INSECURE_NO_AUTH}'."
)
# deliver_only routes bypass the agent — the POST body becomes a
# direct push notification via the configured delivery target.
# Validate up-front so misconfiguration surfaces at startup rather
# than on the first webhook POST.
if route.get("deliver_only"):
deliver = route.get("deliver", "log")
if not deliver or deliver == "log":
raise ValueError(
f"[webhook] Route '{name}' has deliver_only=true but "
f"deliver is '{deliver}'. Direct delivery requires a "
f"real target (telegram, discord, slack, github_comment, etc.)."
)
app = web.Application()
app.router.add_get("/health", self._handle_health)
app.router.add_post("/webhooks/{route_name}", self._handle_webhook)
@@ -313,14 +296,24 @@ class WebhookAdapter(BasePlatformAdapter):
{"error": "Payload too large"}, status=413
)
# Read body (must be done before any validation)
# ── Rate limiting ────────────────────────────────────────
now = time.time()
window = self._rate_counts.setdefault(route_name, [])
window[:] = [t for t in window if now - t < 60]
if len(window) >= self._rate_limit:
return web.json_response(
{"error": "Rate limit exceeded"}, status=429
)
window.append(now)
# Read body
try:
raw_body = await request.read()
except Exception as e:
logger.error("[webhook] Failed to read body: %s", e)
return web.json_response({"error": "Bad request"}, status=400)
# Validate HMAC signature FIRST (skip for INSECURE_NO_AUTH testing mode)
# Validate HMAC signature (skip for INSECURE_NO_AUTH testing mode)
secret = route_config.get("secret", self._global_secret)
if secret and secret != _INSECURE_NO_AUTH:
if not self._validate_signature(request, raw_body, secret):
@@ -331,16 +324,6 @@ class WebhookAdapter(BasePlatformAdapter):
{"error": "Invalid signature"}, status=401
)
# ── Rate limiting (after auth) ───────────────────────────
now = time.time()
window = self._rate_counts.setdefault(route_name, [])
window[:] = [t for t in window if now - t < 60]
if len(window) >= self._rate_limit:
return web.json_response(
{"error": "Rate limit exceeded"}, status=429
)
window.append(now)
# Parse payload
try:
payload = json.loads(raw_body)
@@ -436,64 +419,6 @@ class WebhookAdapter(BasePlatformAdapter):
)
self._seen_deliveries[delivery_id] = now
# ── Direct delivery mode (deliver_only) ─────────────────
# Skip the agent entirely — the rendered prompt IS the message we
# deliver. Use case: external services (Supabase, monitoring,
# cron jobs, other agents) that need to push a plain notification
# to a user's chat with zero LLM cost. Reuses the same HMAC auth,
# rate limiting, idempotency, and template rendering as agent mode.
if route_config.get("deliver_only"):
delivery = {
"deliver": route_config.get("deliver", "log"),
"deliver_extra": self._render_delivery_extra(
route_config.get("deliver_extra", {}), payload
),
"payload": payload,
}
logger.info(
"[webhook] direct-deliver event=%s route=%s target=%s msg_len=%d delivery=%s",
event_type,
route_name,
delivery["deliver"],
len(prompt),
delivery_id,
)
try:
result = await self._direct_deliver(prompt, delivery)
except Exception:
logger.exception(
"[webhook] direct-deliver failed route=%s delivery=%s",
route_name,
delivery_id,
)
return web.json_response(
{"status": "error", "error": "Delivery failed", "delivery_id": delivery_id},
status=502,
)
if result.success:
return web.json_response(
{
"status": "delivered",
"route": route_name,
"target": delivery["deliver"],
"delivery_id": delivery_id,
},
status=200,
)
# Delivery attempted but target rejected it — surface as 502
# with a generic error (don't leak adapter-level detail).
logger.warning(
"[webhook] direct-deliver target rejected route=%s target=%s error=%s",
route_name,
delivery["deliver"],
result.error,
)
return web.json_response(
{"status": "error", "error": "Delivery failed", "delivery_id": delivery_id},
status=502,
)
# Use delivery_id in session key so concurrent webhooks on the
# same route get independent agent runs (not queued/interrupted).
session_chat_id = f"webhook:{route_name}:{delivery_id}"
@@ -647,34 +572,6 @@ class WebhookAdapter(BasePlatformAdapter):
# Response delivery
# ------------------------------------------------------------------
async def _direct_deliver(
self, content: str, delivery: dict
) -> SendResult:
"""Deliver *content* directly without invoking the agent.
Used by ``deliver_only`` routes: the rendered template becomes the
literal message body, and we dispatch to the same delivery helpers
that the agent-mode ``send()`` flow uses. All target types that
work in agent mode work here Telegram, Discord, Slack, GitHub
PR comments, etc.
"""
deliver_type = delivery.get("deliver", "log")
if deliver_type == "log":
# Shouldn't reach here — startup validation rejects deliver_only
# with deliver=log — but guard defensively.
logger.info("[webhook] direct-deliver log-only: %s", content[:200])
return SendResult(success=True)
if deliver_type == "github_comment":
return await self._deliver_github_comment(content, delivery)
# Fall through to the cross-platform dispatcher, which validates the
# target name and routes via the gateway runner.
return await self._deliver_cross_platform(
deliver_type, content, delivery
)
async def _deliver_github_comment(
self, content: str, delivery: dict
) -> SendResult:
+5 -10
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
+34 -119
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
@@ -365,40 +289,39 @@ class WhatsAppAdapter(BasePlatformAdapter):
logger.info("[%s] Bridge found at %s", self.name, bridge_path)
# Acquire scoped lock to prevent duplicate sessions
lock_acquired = False
try:
if not self._acquire_platform_lock('whatsapp-session', str(self._session_path), 'WhatsApp session'):
return False
lock_acquired = True
except Exception as e:
logger.warning("[%s] Could not acquire session lock (non-fatal): %s", self.name, e)
try:
# Auto-install npm dependencies if node_modules doesn't exist
bridge_dir = bridge_path.parent
if not (bridge_dir / "node_modules").exists():
print(f"[{self.name}] Installing WhatsApp bridge dependencies...")
try:
install_result = subprocess.run(
["npm", "install", "--silent"],
cwd=str(bridge_dir),
capture_output=True,
text=True,
timeout=60,
)
if install_result.returncode != 0:
print(f"[{self.name}] npm install failed: {install_result.stderr}")
return False
print(f"[{self.name}] Dependencies installed")
except Exception as e:
print(f"[{self.name}] Failed to install dependencies: {e}")
# Auto-install npm dependencies if node_modules doesn't exist
bridge_dir = bridge_path.parent
if not (bridge_dir / "node_modules").exists():
print(f"[{self.name}] Installing WhatsApp bridge dependencies...")
try:
install_result = subprocess.run(
["npm", "install", "--silent"],
cwd=str(bridge_dir),
capture_output=True,
text=True,
timeout=60,
)
if install_result.returncode != 0:
print(f"[{self.name}] npm install failed: {install_result.stderr}")
return False
print(f"[{self.name}] Dependencies installed")
except Exception as e:
print(f"[{self.name}] Failed to install dependencies: {e}")
return False
try:
# Ensure session directory exists
self._session_path.mkdir(parents=True, exist_ok=True)
# Check if bridge is already running and connected
import aiohttp
import asyncio
try:
async with aiohttp.ClientSession() as session:
async with session.get(
@@ -529,13 +452,10 @@ class WhatsAppAdapter(BasePlatformAdapter):
return True
except Exception as e:
self._release_platform_lock()
logger.error("[%s] Failed to start bridge: %s", self.name, e, exc_info=True)
self._close_bridge_log()
return False
finally:
if not self._running:
if lock_acquired:
self._release_platform_lock()
self._close_bridge_log()
def _close_bridge_log(self) -> None:
"""Close the bridge log file handle if open."""
@@ -567,14 +487,22 @@ 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:
@@ -727,8 +655,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
chat_id: str,
message_id: str,
content: str,
*,
finalize: bool = False,
) -> SendResult:
"""Edit a previously sent message via the WhatsApp bridge."""
if not self._running or not self._http_session:
@@ -840,17 +766,6 @@ 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,
+170 -635
View File
File diff suppressed because it is too large Load Diff
+14 -46
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,
@@ -947,18 +926,12 @@ class SessionStore:
continue
# Never prune sessions with an active background process
# attached — the user may still be waiting on output.
# The callback is keyed by session_key (see process_registry.
# has_active_for_session); passing session_id here used to
# never match, so active sessions got pruned anyway.
if self._has_active_processes_fn is not None:
try:
if self._has_active_processes_fn(entry.session_key):
if self._has_active_processes_fn(entry.session_id):
continue
except Exception as exc:
logger.debug(
"has_active_processes_fn raised during prune for %s: %s",
entry.session_key, exc,
)
except Exception:
pass
if entry.updated_at < cutoff:
removed_keys.append(key)
for key in removed_keys:
@@ -1259,11 +1232,6 @@ 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(
-24
View File
@@ -571,30 +571,6 @@ class GatewayStreamConsumer:
if final_text.strip() and final_text != self._visible_prefix():
continuation = final_text
else:
# Defence-in-depth for #7183: the last edit may still show the
# cursor character because fallback mode was entered after an
# edit failure left it stuck. Try one final edit to strip it
# so the message doesn't freeze with a visible ▉. Best-effort
# — if this edit also fails (flood control still active),
# _try_strip_cursor has already been called on fallback entry
# and the adaptive-backoff retries will have had their shot.
if (
self._message_id
and self._last_sent_text
and self.cfg.cursor
and self._last_sent_text.endswith(self.cfg.cursor)
):
clean_text = self._last_sent_text[:-len(self.cfg.cursor)]
try:
result = await self.adapter.edit_message(
chat_id=self.chat_id,
message_id=self._message_id,
content=clean_text,
)
if result.success:
self._last_sent_text = clean_text
except Exception:
pass
self._already_sent = True
self._final_response_sent = True
return
+5 -27
View File
@@ -20,7 +20,6 @@ import logging
import os
import shutil
import shlex
import ssl
import stat
import base64
import hashlib
@@ -152,7 +151,7 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
id="gemini",
name="Google AI Studio",
auth_type="api_key",
inference_base_url="https://generativelanguage.googleapis.com/v1beta",
inference_base_url="https://generativelanguage.googleapis.com/v1beta/openai",
api_key_env_vars=("GOOGLE_API_KEY", "GEMINI_API_KEY"),
base_url_env_var="GEMINI_BASE_URL",
),
@@ -354,9 +353,6 @@ def _resolve_kimi_base_url(api_key: str, default_url: str, env_override: str) ->
"""
if env_override:
return env_override
# No key → nothing to infer from. Return default without inspecting.
if not api_key:
return default_url
if api_key.startswith("sk-kimi-"):
return KIMI_CODE_BASE_URL
return default_url
@@ -484,14 +480,6 @@ def _resolve_zai_base_url(api_key: str, default_url: str, env_override: str) ->
if env_override:
return env_override
# No API key set → don't probe (would fire N×M HTTPS requests with an
# empty Bearer token, all returning 401). This path is hit during
# auxiliary-client auto-detection when the user has no Z.AI credentials
# at all — the caller discards the result immediately, so the probe is
# pure latency for every AIAgent construction.
if not api_key:
return default_url
# Check provider-state cache for a previously-detected endpoint.
auth_store = _load_auth_store()
state = _load_provider_state(auth_store, "zai") or {}
@@ -1664,7 +1652,7 @@ def _resolve_verify(
insecure: Optional[bool] = None,
ca_bundle: Optional[str] = None,
auth_state: Optional[Dict[str, Any]] = None,
) -> bool | ssl.SSLContext:
) -> bool | str:
tls_state = auth_state.get("tls") if isinstance(auth_state, dict) else {}
tls_state = tls_state if isinstance(tls_state, dict) else {}
@@ -1684,12 +1672,13 @@ def _resolve_verify(
if effective_ca:
ca_path = str(effective_ca)
if not os.path.isfile(ca_path):
logger.warning(
import logging
logging.getLogger("hermes.auth").warning(
"CA bundle path does not exist: %s — falling back to default certificates",
ca_path,
)
return True
return ssl.create_default_context(cafile=ca_path)
return ca_path
return True
@@ -2732,17 +2721,6 @@ def _update_config_for_provider(
# Clear stale base_url to prevent contamination when switching providers
model_cfg.pop("base_url", None)
# Clear stale api_key/api_mode left over from a previous custom provider.
# When the user switches from e.g. a MiniMax custom endpoint
# (api_mode=anthropic_messages, api_key=mxp-...) to a built-in provider
# (e.g. OpenRouter), the stale api_key/api_mode would override the new
# provider's credentials and transport choice. Built-in providers that
# need a specific api_mode (copilot, xai) set it at request-resolution
# time via `_copilot_runtime_api_mode` / `_detect_api_mode_for_url`, so
# removing the persisted value here is safe.
model_cfg.pop("api_key", None)
model_cfg.pop("api_mode", None)
# When switching to a non-OpenRouter provider, ensure model.default is
# valid for the new provider. An OpenRouter-formatted name like
# "anthropic/claude-opus-4.6" will fail on direct-API providers.
+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 -1
View File
@@ -201,7 +201,7 @@ def run_backup(args) -> None:
else:
zf.write(abs_path, arcname=str(rel_path))
total_bytes += abs_path.stat().st_size
except (PermissionError, OSError, ValueError) as exc:
except (PermissionError, OSError) as exc:
errors.append(f" {rel_path}: {exc}")
continue
+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),
+41 -205
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.
@@ -425,11 +403,7 @@ DEFAULT_CONFIG = {
"container_persistent": True, # Persist filesystem across sessions
# Docker volume mounts — share host directories with the container.
# Each entry is "host_path:container_path" (standard Docker -v syntax).
# Example:
# ["/home/user/projects:/workspace/projects",
# "/home/user/.hermes/cache/documents:/output"]
# For gateway MEDIA delivery, write inside Docker to /output/... and emit
# the host-visible path in MEDIA:, not the container path.
# Example: ["/home/user/projects:/workspace/projects", "/data:/data"]
"docker_volumes": [],
# Explicit opt-in: mount the host cwd into /workspace for Docker sessions.
# Default off because passing host directories into a sandbox weakens isolation.
@@ -496,6 +470,13 @@ DEFAULT_CONFIG = {
},
},
"smart_model_routing": {
"enabled": False,
"max_simple_chars": 160,
"max_simple_words": 28,
"cheap_model": {},
},
# Auxiliary model config — provider:model for each side task.
# Format: provider is the provider name, model is the model slug.
# "auto" for provider = auto-detect best available provider.
@@ -509,7 +490,6 @@ DEFAULT_CONFIG = {
"base_url": "", # direct OpenAI-compatible endpoint (takes precedence over provider)
"api_key": "", # API key for base_url (falls back to OPENAI_API_KEY)
"timeout": 120, # seconds — LLM API call timeout; vision payloads need generous timeout
"extra_body": {}, # OpenAI-compatible provider-specific request fields
"download_timeout": 30, # seconds — image HTTP download timeout; increase for slow connections
},
"web_extract": {
@@ -518,7 +498,6 @@ DEFAULT_CONFIG = {
"base_url": "",
"api_key": "",
"timeout": 360, # seconds (6min) — per-attempt LLM summarization timeout; increase for slow local models
"extra_body": {},
},
"compression": {
"provider": "auto",
@@ -526,7 +505,6 @@ DEFAULT_CONFIG = {
"base_url": "",
"api_key": "",
"timeout": 120, # seconds — compression summarises large contexts; increase for local models
"extra_body": {},
},
"session_search": {
"provider": "auto",
@@ -534,8 +512,6 @@ DEFAULT_CONFIG = {
"base_url": "",
"api_key": "",
"timeout": 30,
"extra_body": {},
"max_concurrency": 3, # Clamp parallel summaries to avoid request-burst 429s on small providers
},
"skills_hub": {
"provider": "auto",
@@ -543,7 +519,6 @@ DEFAULT_CONFIG = {
"base_url": "",
"api_key": "",
"timeout": 30,
"extra_body": {},
},
"approval": {
"provider": "auto",
@@ -551,7 +526,6 @@ DEFAULT_CONFIG = {
"base_url": "",
"api_key": "",
"timeout": 30,
"extra_body": {},
},
"mcp": {
"provider": "auto",
@@ -559,7 +533,6 @@ DEFAULT_CONFIG = {
"base_url": "",
"api_key": "",
"timeout": 30,
"extra_body": {},
},
"flush_memories": {
"provider": "auto",
@@ -567,7 +540,6 @@ DEFAULT_CONFIG = {
"base_url": "",
"api_key": "",
"timeout": 30,
"extra_body": {},
},
"title_generation": {
"provider": "auto",
@@ -575,7 +547,6 @@ DEFAULT_CONFIG = {
"base_url": "",
"api_key": "",
"timeout": 30,
"extra_body": {},
},
},
@@ -587,14 +558,9 @@ DEFAULT_CONFIG = {
"bell_on_complete": False,
"show_reasoning": False,
"streaming": False,
"final_response_markdown": "strip", # render | strip | raw
"inline_diffs": True, # Show inline diff previews for write actions (write_file, patch, skill_manage)
"show_cost": False, # Show $ cost in the status bar (off by default)
"skin": "default",
"user_message_preview": { # CLI: how many submitted user-message lines to echo back in scrollback
"first_lines": 2,
"last_lines": 2,
},
"interim_assistant_messages": True, # Gateway: show natural mid-turn assistant status messages
"tool_progress_command": False, # Enable /verbose command in messaging gateway
"tool_progress_overrides": {}, # DEPRECATED — use display.platforms instead
@@ -665,7 +631,6 @@ 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
},
@@ -712,12 +677,6 @@ 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
@@ -730,20 +689,6 @@ 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.
@@ -763,14 +708,6 @@ DEFAULT_CONFIG = {
"auto_thread": True, # Auto-create threads on @mention in channels (like Slack)
"reactions": True, # Add 👀/✅/❌ reactions to messages during processing
"channel_prompts": {}, # Per-channel ephemeral system prompts (forum parents apply to child threads)
# discord_server tool: restrict which actions the agent may call.
# Default (empty) = all actions allowed (subject to bot privileged intents).
# Accepts comma-separated string ("list_guilds,list_channels,fetch_messages")
# or YAML list. Unknown names are dropped with a warning at load time.
# Actions: list_guilds, server_info, list_channels, channel_info,
# list_roles, member_info, search_members, fetch_messages, list_pins,
# pin_message, unpin_message, create_thread, add_role, remove_role.
"server_actions": "",
},
# WhatsApp platform settings (gateway mode)
@@ -814,21 +751,6 @@ 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": "..."}}
@@ -852,11 +774,6 @@ 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.
@@ -890,7 +807,7 @@ DEFAULT_CONFIG = {
},
# Config schema version - bump this when adding new required fields
"_config_version": 22,
"_config_version": 19,
}
# =============================================================================
@@ -1913,53 +1830,12 @@ 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
@@ -2255,6 +2131,7 @@ 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"
@@ -2269,6 +2146,7 @@ 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")
@@ -2586,71 +2464,6 @@ 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}")
@@ -3053,6 +2866,19 @@ _FALLBACK_COMMENT = """
# fallback_model:
# provider: openrouter
# model: anthropic/claude-sonnet-4
#
# ── Smart Model Routing ────────────────────────────────────────────────
# Optional cheap-vs-strong routing for simple turns.
# Keeps the primary model for complex work, but can route short/simple
# messages to a cheaper model across providers.
#
# smart_model_routing:
# enabled: true
# max_simple_chars: 160
# max_simple_words: 28
# cheap_model:
# provider: openrouter
# model: google/gemini-2.5-flash
"""
@@ -3084,6 +2910,19 @@ _COMMENTED_SECTIONS = """
# fallback_model:
# provider: openrouter
# model: anthropic/claude-sonnet-4
#
# ── Smart Model Routing ────────────────────────────────────────────────
# Optional cheap-vs-strong routing for simple turns.
# Keeps the primary model for complex work, but can route short/simple
# messages to a cheaper model across providers.
#
# smart_model_routing:
# enabled: true
# max_simple_chars: 160
# max_simple_words: 28
# cheap_model:
# provider: openrouter
# model: google/gemini-2.5-flash
"""
@@ -3276,6 +3115,7 @@ 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"
@@ -3545,10 +3385,6 @@ def show_config():
print(f" Personality: {display.get('personality', 'kawaii')}")
print(f" Reasoning: {'on' if display.get('show_reasoning', False) else 'off'}")
print(f" Bell: {'on' if display.get('bell_on_complete', False) else 'off'}")
ump = display.get('user_message_preview', {}) if isinstance(display.get('user_message_preview', {}), dict) else {}
ump_first = ump.get('first_lines', 2)
ump_last = ump.get('last_lines', 2)
print(f" User preview: first {ump_first} line(s), last {ump_last} line(s)")
# Terminal
print()
+1 -92
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 = (
@@ -278,86 +277,6 @@ def run_doctor(args):
config_path = HERMES_HOME / 'config.yaml'
if config_path.exists():
check_ok(f"{_DHH}/config.yaml exists")
# Validate model.provider and model.default values
try:
import yaml as _yaml
cfg = _yaml.safe_load(config_path.read_text(encoding="utf-8")) or {}
model_section = cfg.get("model") or {}
provider_raw = (model_section.get("provider") or "").strip()
provider = provider_raw.lower()
default_model = (model_section.get("default") or model_section.get("model") or "").strip()
known_providers: set = set()
try:
from hermes_cli.auth import PROVIDER_REGISTRY
known_providers = set(PROVIDER_REGISTRY.keys()) | {"openrouter", "custom", "auto"}
except Exception:
pass
try:
from hermes_cli.auth import resolve_provider as _resolve_provider
except Exception:
_resolve_provider = None
canonical_provider = provider
if provider and _resolve_provider is not None and provider != "auto":
try:
canonical_provider = _resolve_provider(provider)
except Exception:
canonical_provider = None
if provider and provider != "auto":
if canonical_provider is None or (known_providers and canonical_provider not in known_providers):
known_list = ", ".join(sorted(known_providers)) if known_providers else "(unavailable)"
check_fail(
f"model.provider '{provider_raw}' is not a recognised provider",
f"(known: {known_list})",
)
issues.append(
f"model.provider '{provider_raw}' is unknown. "
f"Valid providers: {known_list}. "
f"Fix: run 'hermes config set model.provider <valid_provider>'"
)
# Warn if model is set to a provider-prefixed name on a provider that doesn't use them
if default_model and "/" in default_model and canonical_provider and canonical_provider not in ("openrouter", "custom", "auto", "ai-gateway", "kilocode", "opencode-zen", "huggingface", "nous"):
check_warn(
f"model.default '{default_model}' uses a vendor/model slug but provider is '{provider_raw}'",
"(vendor-prefixed slugs belong to aggregators like openrouter)",
)
issues.append(
f"model.default '{default_model}' is vendor-prefixed but model.provider is '{provider_raw}'. "
"Either set model.provider to 'openrouter', or drop the vendor prefix."
)
# Check credentials for the configured provider.
# Limit to API-key providers in PROVIDER_REGISTRY — other provider
# types (OAuth, SDK, openrouter/anthropic/custom/auto) have their
# own env-var checks elsewhere in doctor, and get_auth_status()
# returns a bare {logged_in: False} for anything it doesn't
# explicitly dispatch, which would produce false positives.
if canonical_provider and canonical_provider not in ("auto", "custom", "openrouter"):
try:
from hermes_cli.auth import PROVIDER_REGISTRY, get_auth_status
pconfig = PROVIDER_REGISTRY.get(canonical_provider)
if pconfig and getattr(pconfig, "auth_type", "") == "api_key":
status = get_auth_status(canonical_provider) or {}
configured = bool(status.get("configured") or status.get("logged_in") or status.get("api_key"))
if not configured:
check_fail(
f"model.provider '{canonical_provider}' is set but no API key is configured",
"(check ~/.hermes/.env or run 'hermes setup')",
)
issues.append(
f"No credentials found for provider '{canonical_provider}'. "
f"Run 'hermes setup' or set the provider's API key in {_DHH}/.env, "
f"or switch providers with 'hermes config set model.provider <name>'"
)
except Exception:
pass
except Exception as e:
check_warn("Could not validate model/provider config", f"({e})")
else:
fallback_config = PROJECT_ROOT / 'cli-config.yaml'
if fallback_config.exists():
@@ -859,16 +778,6 @@ def run_doctor(args):
elif response.status_code == 401:
print(f"\r {color('', Colors.RED)} OpenRouter API {color('(invalid API key)', Colors.DIM)} ")
issues.append("Check OPENROUTER_API_KEY in .env")
elif response.status_code == 402:
print(f"\r {color('', Colors.RED)} OpenRouter API {color('(out of credits — payment required)', Colors.DIM)}")
issues.append(
"OpenRouter account has insufficient credits. "
"Fix: run 'hermes config set model.provider <provider>' to switch providers, "
"or fund your OpenRouter account at https://openrouter.ai/settings/credits"
)
elif response.status_code == 429:
print(f"\r {color('', Colors.RED)} OpenRouter API {color('(rate limited)', Colors.DIM)} ")
issues.append("OpenRouter rate limit hit — consider switching to a different provider or waiting")
else:
print(f"\r {color('', Colors.RED)} OpenRouter API {color(f'(HTTP {response.status_code})', Colors.DIM)} ")
except Exception as e:
@@ -953,7 +862,7 @@ def run_doctor(args):
_base = _to_openai_base_url(_base)
_url = (_base.rstrip("/") + "/models") if _base else _default_url
_headers = {"Authorization": f"Bearer {_key}"}
if base_url_host_matches(_base, "api.kimi.com"):
if "api.kimi.com" in _url.lower():
_headers["User-Agent"] = "KimiCLI/1.30.0"
_resp = httpx.get(
_url,
+1
View File
@@ -160,6 +160,7 @@ def _config_overrides(config: dict) -> dict[str, str]:
("display", "streaming"),
("display", "skin"),
("display", "show_reasoning"),
("smart_model_routing", "enabled"),
("privacy", "redact_pii"),
("tts", "provider"),
]
+1 -50
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:
+4
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()}"
-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
+48 -283
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"]
@@ -705,10 +693,6 @@ def _resolve_session_by_name_or_id(name_or_id: str) -> Optional[str]:
- If it looks like a session ID (contains underscore + hex), try direct lookup first.
- Otherwise, treat it as a title and use resolve_session_by_title (auto-latest).
- Falls back to the other method if the first doesn't match.
- If the resolved session is a compression root, follow the chain forward
to the latest continuation. Users who remember the old root ID (e.g.
from an exit summary printed before the bug fix, or from notes) get
resumed at the live tip instead of a stale parent with no messages.
"""
try:
from hermes_state import SessionDB
@@ -717,23 +701,14 @@ def _resolve_session_by_name_or_id(name_or_id: str) -> Optional[str]:
# Try as exact session ID first
session = db.get_session(name_or_id)
resolved_id: Optional[str] = None
if session:
resolved_id = session["id"]
else:
# Try as title (with auto-latest for lineage)
resolved_id = db.resolve_session_by_title(name_or_id)
if resolved_id:
# Project forward through compression chain so resumes land on
# the live tip instead of a dead compressed parent.
try:
resolved_id = db.get_compression_tip(resolved_id) or resolved_id
except Exception:
pass
db.close()
return session["id"]
# Try as title (with auto-latest for lineage)
session_id = db.resolve_session_by_title(name_or_id)
db.close()
return resolved_id
return session_id
except Exception:
pass
return None
@@ -1015,17 +990,6 @@ 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 +1144,8 @@ 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 +1254,16 @@ 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 +1282,8 @@ 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 +1379,8 @@ 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 +1491,6 @@ 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":
@@ -1579,6 +1536,7 @@ def select_provider_and_model(args=None):
"kilocode",
"opencode-zen",
"opencode-go",
"ai-gateway",
"alibaba",
"huggingface",
"xiaomi",
@@ -2050,63 +2008,6 @@ 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 (
@@ -2127,6 +2028,7 @@ 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"):
@@ -2294,6 +2196,7 @@ 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"):
@@ -2448,7 +2351,7 @@ def _model_flow_google_gemini_cli(_config, current_model=""):
return
models = list(_PROVIDER_MODELS.get("google-gemini-cli") or [])
default = current_model or (models[0] if models else "gemini-3-flash-preview")
default = current_model or (models[0] if models else "gemini-2.5-flash")
selected = _prompt_model_selection(models, current_model=default)
if selected:
_save_model_choice(selected)
@@ -3424,9 +3327,8 @@ 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",
@@ -4165,12 +4067,6 @@ 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
@@ -4280,7 +4176,9 @@ 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
@@ -4319,6 +4217,8 @@ 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():
@@ -4350,6 +4250,7 @@ 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:
@@ -4386,6 +4287,7 @@ 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
@@ -4462,6 +4364,7 @@ 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:
@@ -5212,11 +5115,9 @@ 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")
@@ -5791,6 +5692,8 @@ 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],
@@ -6443,17 +6346,6 @@ 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",
@@ -6576,16 +6468,6 @@ 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",
@@ -6705,8 +6587,6 @@ 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(
@@ -7071,7 +6951,6 @@ 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"
@@ -7082,9 +6961,8 @@ 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)
# =========================================================================
@@ -7124,13 +7002,6 @@ For more help on a command:
wh_sub.add_argument(
"--secret", default="", help="HMAC secret (auto-generated if omitted)"
)
wh_sub.add_argument(
"--deliver-only",
action="store_true",
help="Skip the agent — deliver the rendered prompt directly as the "
"message. Zero LLM cost. Requires --deliver to be a real target "
"(not 'log').",
)
webhook_subparsers.add_parser(
"list", aliases=["ls"], help="List all dynamic subscriptions"
@@ -7151,67 +7022,6 @@ 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
# =========================================================================
@@ -7619,17 +7429,6 @@ 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"
@@ -7677,7 +7476,9 @@ 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
@@ -7883,7 +7684,6 @@ 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)"
@@ -7922,8 +7722,6 @@ 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
@@ -8062,6 +7860,7 @@ Examples:
return
line = _json.dumps(data, ensure_ascii=False) + "\n"
if args.output == "-":
import sys
sys.stdout.write(line)
else:
@@ -8071,6 +7870,7 @@ 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")
@@ -8141,6 +7941,8 @@ 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])
@@ -8331,7 +8133,6 @@ 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."""
@@ -8605,42 +8406,6 @@ 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"
+4 -68
View File
@@ -1035,49 +1035,21 @@ def list_authenticated_providers(
seen_slugs.add(_cp.slug.lower())
# --- 3. User-defined endpoints from config ---
# Track (name, base_url) of what section 3 emits so section 4 can skip
# any overlapping ``custom_providers:`` entries. Callers typically pass
# both (gateway/CLI invoke ``get_compatible_custom_providers()`` which
# merges ``providers:`` into the list) — without this, the same endpoint
# produces two picker rows: one bare-slug ("openrouter") from section 3
# and one "custom:openrouter" from section 4, both labelled identically.
_section3_emitted_pairs: set = set()
if user_providers and isinstance(user_providers, dict):
for ep_name, ep_cfg in user_providers.items():
if not isinstance(ep_cfg, dict):
continue
# Skip if this slug was already emitted (e.g. canonical provider
# with the same name) or will be picked up by section 4.
if ep_name.lower() in seen_slugs:
continue
display_name = ep_cfg.get("name", "") or ep_name
# ``base_url`` is Hermes's canonical write key (matches
# custom_providers and _save_custom_provider); ``api`` / ``url``
# remain as fallbacks for hand-edited / legacy configs.
api_url = (
ep_cfg.get("base_url", "")
or ep_cfg.get("api", "")
or ep_cfg.get("url", "")
or ""
)
# ``default_model`` is the legacy key; ``model`` matches what
# custom_providers entries use, so accept either.
default_model = ep_cfg.get("default_model", "") or ep_cfg.get("model", "")
api_url = ep_cfg.get("api", "") or ep_cfg.get("url", "") or ""
default_model = ep_cfg.get("default_model", "")
# Build models list from both default_model and full models array
models_list = []
if default_model:
models_list.append(default_model)
# Also include the full models list from config.
# Hermes writes ``models:`` as a dict keyed by model id
# (see hermes_cli/main.py::_save_custom_provider); older
# configs or hand-edited files may still use a list.
# Also include the full models list from config
cfg_models = ep_cfg.get("models", [])
if isinstance(cfg_models, dict):
for m in cfg_models:
if m and m not in models_list:
models_list.append(m)
elif isinstance(cfg_models, list):
if isinstance(cfg_models, list):
for m in cfg_models:
if m and m not in models_list:
models_list.append(m)
@@ -1094,14 +1066,6 @@ def list_authenticated_providers(
"source": "user-config",
"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(),
)
if _pair[0] and _pair[1]:
_section3_emitted_pairs.add(_pair)
# --- 4. Saved custom providers from config ---
# Each ``custom_providers`` entry represents one model under a named
@@ -1136,41 +1100,13 @@ def list_authenticated_providers(
"api_url": api_url,
"models": [],
}
# The singular ``model:`` field only holds the currently
# active model. Hermes's own writer (main.py::_save_custom_provider)
# stores every configured model as a dict under ``models:``;
# downstream readers (agent/models_dev.py, gateway/run.py,
# run_agent.py, hermes_cli/config.py) already consume that dict.
# The /model picker previously ignored it, so multi-model
# custom providers appeared to have only the active model.
default_model = (entry.get("model") or "").strip()
if default_model and default_model not in groups[slug]["models"]:
groups[slug]["models"].append(default_model)
cfg_models = entry.get("models", {})
if isinstance(cfg_models, dict):
for m in cfg_models:
if m and m not in groups[slug]["models"]:
groups[slug]["models"].append(m)
elif isinstance(cfg_models, list):
for m in cfg_models:
if m and m not in groups[slug]["models"]:
groups[slug]["models"].append(m)
for slug, grp in groups.items():
if slug.lower() in seen_slugs:
continue
# Skip if section 3 already emitted this endpoint under its
# ``providers:`` dict key — matches on (display_name, base_url),
# the tuple section 4 groups by. Prevents two picker rows
# labelled identically when callers pass both ``user_providers``
# and a compatibility-merged ``custom_providers`` list.
_pair_key = (
str(grp["name"]).strip().lower(),
str(grp["api_url"]).strip().rstrip("/").lower(),
)
if _pair_key[0] and _pair_key[1] and _pair_key in _section3_emitted_pairs:
continue
results.append({
"slug": slug,
"name": grp["name"],
+34 -329
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", ""),
@@ -68,31 +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.
@@ -106,7 +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",
@@ -159,14 +128,16 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
],
"gemini": [
"gemini-3.1-pro-preview",
"gemini-3-pro-preview",
"gemini-3-flash-preview",
"gemini-3.1-flash-lite-preview",
"gemini-2.5-pro",
"gemini-2.5-flash",
"gemini-2.5-flash-lite",
],
"google-gemini-cli": [
"gemini-3.1-pro-preview",
"gemini-3-pro-preview",
"gemini-3-flash-preview",
"gemini-2.5-pro",
"gemini-2.5-flash",
"gemini-2.5-flash-lite",
],
"zai": [
"glm-5.1",
@@ -190,13 +161,12 @@ _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",
@@ -205,14 +175,12 @@ _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",
],
"moonshot": [
"kimi-k2.6",
"kimi-k2.5",
"kimi-k2-thinking",
"kimi-k2-turbo-preview",
@@ -259,6 +227,7 @@ _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",
@@ -292,7 +261,6 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"big-pickle",
],
"opencode-go": [
"kimi-k2.6",
"kimi-k2.5",
"glm-5.1",
"glm-5",
@@ -300,8 +268,20 @@ _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",
@@ -335,7 +315,6 @@ _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
@@ -355,12 +334,6 @@ _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 filtering
# ---------------------------------------------------------------------------
@@ -518,6 +491,8 @@ 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
@@ -569,7 +544,6 @@ 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)"),
@@ -578,7 +552,7 @@ CANONICAL_PROVIDERS: list[ProviderEntry] = [
ProviderEntry("copilot", "GitHub Copilot", "GitHub Copilot (uses GITHUB_TOKEN or gh auth token)"),
ProviderEntry("copilot-acp", "GitHub Copilot ACP", "GitHub Copilot ACP (spawns `copilot --acp --stdio`)"),
ProviderEntry("huggingface", "Hugging Face", "Hugging Face Inference Providers (20+ open models)"),
ProviderEntry("gemini", "Google AI Studio", "Google AI Studio (Gemini models — native Gemini API)"),
ProviderEntry("gemini", "Google AI Studio", "Google AI Studio (Gemini models — OpenAI-compatible endpoint)"),
ProviderEntry("google-gemini-cli", "Google Gemini (OAuth)", "Google Gemini via OAuth + Code Assist (free tier supported; no API key needed)"),
ProviderEntry("deepseek", "DeepSeek", "DeepSeek (DeepSeek-V3, R1, coder — direct API)"),
ProviderEntry("xai", "xAI", "xAI (Grok models — direct API)"),
@@ -593,6 +567,7 @@ 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)"),
]
@@ -688,31 +663,6 @@ 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,
*,
@@ -755,11 +705,6 @@ 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))
@@ -777,93 +722,6 @@ 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)]
# ---------------------------------------------------------------------------
@@ -1008,56 +866,6 @@ 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()
@@ -1076,7 +884,7 @@ 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(
@@ -1084,8 +892,6 @@ 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:
@@ -1290,6 +1096,7 @@ 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
@@ -1964,7 +1771,7 @@ 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):
@@ -2299,51 +2106,6 @@ def validate_requested_model(
),
}
# MiniMax providers don't expose a /models endpoint — validate against
# the static catalog instead, similar to openai-codex.
if normalized in ("minimax", "minimax-cn"):
try:
catalog_models = provider_model_ids(normalized)
except Exception:
catalog_models = []
if catalog_models:
# Case-insensitive lookup (catalog uses mixed case like MiniMax-M2.7)
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,
}
# Auto-correct close matches (case-insensitive)
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 MiniMax catalog."
f"{suggestion_text}"
"\n MiniMax does not expose a /models endpoint, so Hermes cannot verify the model name."
"\n The model may still work if it exists on the server."
),
}
# Probe the live API to check if the model actually exists
api_models = fetch_api_models(api_key, base_url)
@@ -2426,70 +2188,13 @@ 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
+16 -119
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.
@@ -60,8 +54,6 @@ logger = logging.getLogger(__name__)
VALID_HOOKS: Set[str] = {
"pre_tool_call",
"post_tool_call",
"transform_terminal_output",
"transform_tool_result",
"pre_llm_call",
"post_llm_call",
"pre_api_request",
@@ -70,7 +62,6 @@ VALID_HOOKS: Set[str] = {
"on_session_end",
"on_session_finalize",
"on_session_reset",
"subagent_stop",
}
ENTRY_POINTS_GROUP = "hermes_agent.plugins"
@@ -84,12 +75,7 @@ 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()
@@ -99,36 +85,6 @@ 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
# ---------------------------------------------------------------------------
@@ -464,66 +420,27 @@ class PluginManager:
manifests: List[PluginManifest] = []
# 1. Bundled plugins (<repo>/plugins/<name>/)
# Repo-shipped generic plugins live next to hermes_cli/. Memory and
# context_engine subdirs are handled by their own discovery paths, so
# skip those names here. Bundled plugins are discovered (so they
# show up in `hermes plugins`) but only loaded when added to
# `plugins.enabled` in config.yaml — opt-in like any other plugin.
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 name collision — user plugins
# take precedence over bundled, project plugins take precedence over
# user. Dedup here so we only load the final winner.
# 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.name] = manifest
for manifest in winners.values():
# Explicit disable always wins.
if manifest.name in disabled:
loaded = LoadedPlugin(manifest=manifest, enabled=False)
loaded.error = "disabled via config"
self._plugins[manifest.name] = loaded
logger.debug("Skipping disabled plugin '%s'", manifest.name)
continue
# Opt-in gate: plugins must be in the enabled allow-list.
# If the allow-list is missing (None), treat as "nothing enabled"
# — users have to explicitly enable plugins to load them.
# Memory and context_engine providers are excluded from this gate
# since they have their own single-select config (memory.provider
# / context.engine), not the enabled list.
if enabled is None or manifest.name not in enabled:
loaded = LoadedPlugin(manifest=manifest, enabled=False)
loaded.error = "not enabled in config (run `hermes plugins enable {}` to activate)".format(
manifest.name
)
self._plugins[manifest.name] = loaded
logger.debug(
"Skipping '%s' (not in plugins.enabled)", manifest.name
)
continue
self._load_plugin(manifest)
if manifests:
@@ -537,18 +454,8 @@ 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*.
*skip_names* is an optional allow-list of names to ignore (used
for the bundled scan to exclude ``memory`` / ``context_engine``
subdirs that have their own discovery path).
"""
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
@@ -556,8 +463,6 @@ class PluginManager:
for child in sorted(path.iterdir()):
if not child.is_dir():
continue
if skip_names and child.name in skip_names:
continue
manifest_file = child / "plugin.yaml"
if not manifest_file.exists():
manifest_file = child / "plugin.yml"
@@ -625,7 +530,7 @@ 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)
@@ -874,31 +779,23 @@ 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"):
+5 -12
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__)
@@ -324,16 +322,12 @@ def normalize_provider(name: str) -> str:
def get_provider(name: str) -> Optional[ProviderDef]:
"""Look up a built-in provider by id or alias.
"""Look up a provider by id or alias, merging all data sources.
Resolution order:
1. Hermes overlays (for providers not in models.dev: nous, openai-codex, etc.)
2. models.dev catalog + Hermes overlay
User-defined providers from config.yaml (``providers:`` / ``custom_providers:``)
are resolved by :func:`resolve_provider_full`, which layers ``resolve_user_provider``
and ``resolve_custom_provider`` on top of this function. Callers that need
user-config support should use ``resolve_provider_full`` instead.
3. User-defined providers from config (TODO: Phase 4)
Returns a fully-resolved ProviderDef or None.
"""
@@ -436,12 +430,11 @@ 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.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"
+17 -39
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:
@@ -39,22 +38,14 @@ def _normalize_custom_provider_name(value: str) -> str:
def _detect_api_mode_for_url(base_url: str) -> Optional[str]:
"""Auto-detect api_mode from the resolved base URL.
- Direct api.openai.com endpoints need the Responses API for GPT-5.x
tool calls with reasoning (chat/completions returns 400).
- Third-party Anthropic-compatible gateways (MiniMax, Zhipu GLM,
LiteLLM proxies, etc.) conventionally expose the native Anthropic
protocol under a ``/anthropic`` suffix treat those as
``anthropic_messages`` transport instead of the default
``chat_completions``.
Direct api.openai.com endpoints need the Responses API for GPT-5.x
tool calls with reasoning (chat/completions returns 400).
"""
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"
return None
@@ -203,12 +194,8 @@ def _resolve_runtime_from_pool_entry(
elif provider in ("opencode-zen", "opencode-go"):
from hermes_cli.models import opencode_model_api_mode
api_mode = opencode_model_api_mode(provider, model_cfg.get("default", ""))
else:
# Auto-detect Anthropic-compatible endpoints (/anthropic suffix,
# api.openai.com → codex_responses, api.x.ai → codex_responses).
detected = _detect_api_mode_for_url(base_url)
if detected:
api_mode = detected
elif base_url.rstrip("/").endswith("/anthropic"):
api_mode = "anthropic_messages"
# OpenCode base URLs end with /v1 for OpenAI-compatible models, but the
# Anthropic SDK prepends its own /v1/messages to the base_url. Strip the
@@ -482,7 +469,7 @@ 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,
@@ -492,12 +479,8 @@ 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 ""),
@@ -659,11 +642,8 @@ def _resolve_explicit_runtime(
configured_mode = _parse_api_mode(model_cfg.get("api_mode"))
if configured_mode:
api_mode = configured_mode
else:
# Auto-detect Anthropic-compatible endpoints (/anthropic suffix).
detected = _detect_api_mode_for_url(base_url)
if detected:
api_mode = detected
elif base_url.rstrip("/").endswith("/anthropic"):
api_mode = "anthropic_messages"
return {
"provider": provider,
@@ -910,7 +890,8 @@ 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"
@@ -984,13 +965,10 @@ def resolve_runtime_provider(
elif provider in ("opencode-zen", "opencode-go"):
from hermes_cli.models import opencode_model_api_mode
api_mode = opencode_model_api_mode(provider, model_cfg.get("default", ""))
else:
# Auto-detect Anthropic-compatible endpoints by URL convention
# (e.g. https://api.minimax.io/anthropic, https://dashscope.../anthropic)
# plus api.openai.com → codex_responses and api.x.ai → codex_responses.
detected = _detect_api_mode_for_url(base_url)
if detected:
api_mode = detected
# Auto-detect Anthropic-compatible endpoints by URL convention
# (e.g. https://api.minimax.io/anthropic, https://dashscope.../anthropic)
elif base_url.rstrip("/").endswith("/anthropic"):
api_mode = "anthropic_messages"
# Strip trailing /v1 for OpenCode Anthropic models (see comment above).
if api_mode == "anthropic_messages" and provider in ("opencode-zen", "opencode-go"):
base_url = re.sub(r"/v1/?$", "", base_url)
+58 -144
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__)
@@ -90,19 +89,19 @@ _DEFAULT_PROVIDER_MODELS = {
"grok-code-fast-1",
],
"gemini": [
"gemini-3.1-pro-preview", "gemini-3-pro-preview",
"gemini-3-flash-preview", "gemini-3.1-flash-lite-preview",
"gemini-3.1-pro-preview", "gemini-3-flash-preview", "gemini-3.1-flash-lite-preview",
"gemini-2.5-pro", "gemini-2.5-flash", "gemini-2.5-flash-lite",
],
"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"],
"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",
@@ -434,6 +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
@@ -441,16 +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))
@@ -813,8 +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:
@@ -822,7 +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)
@@ -858,6 +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
@@ -911,31 +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", {})
@@ -951,7 +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)
@@ -975,10 +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)
@@ -999,6 +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
@@ -1097,29 +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"] = {}
@@ -1141,6 +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.")
@@ -2415,74 +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.
@@ -2491,7 +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():
@@ -2509,11 +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
-82
View File
@@ -1,82 +0,0 @@
from __future__ import annotations
def _coerce_timeout(raw: object) -> float | None:
try:
timeout = float(raw)
except (TypeError, ValueError):
return None
if timeout <= 0:
return None
return timeout
def get_provider_request_timeout(
provider_id: str, model: str | None = None
) -> float | None:
"""Return a configured provider request timeout in seconds, if any."""
if not provider_id:
return None
try:
from hermes_cli.config import load_config
except ImportError:
return None
config = load_config()
providers = config.get("providers", {}) if isinstance(config, dict) else {}
provider_config = (
providers.get(provider_id, {}) if isinstance(providers, dict) else {}
)
if not isinstance(provider_config, dict):
return None
model_config = _get_model_config(provider_config, model)
if model_config is not None:
timeout = _coerce_timeout(model_config.get("timeout_seconds"))
if timeout is not None:
return timeout
return _coerce_timeout(provider_config.get("request_timeout_seconds"))
def get_provider_stale_timeout(
provider_id: str, model: str | None = None
) -> float | None:
"""Return a configured non-stream stale timeout in seconds, if any."""
if not provider_id:
return None
try:
from hermes_cli.config import load_config
except ImportError:
return None
config = load_config()
providers = config.get("providers", {}) if isinstance(config, dict) else {}
provider_config = (
providers.get(provider_id, {}) if isinstance(providers, dict) else {}
)
if not isinstance(provider_config, dict):
return None
model_config = _get_model_config(provider_config, model)
if model_config is not None:
timeout = _coerce_timeout(model_config.get("stale_timeout_seconds"))
if timeout is not None:
return timeout
return _coerce_timeout(provider_config.get("stale_timeout_seconds"))
def _get_model_config(
provider_config: dict[str, object], model: str | None
) -> dict[str, object] | None:
if not model:
return None
models = provider_config.get("models", {})
model_config = models.get(model, {}) if isinstance(models, dict) else {}
if isinstance(model_config, dict):
return model_config
return None
+4 -2
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.",
@@ -245,7 +245,7 @@ TIPS = [
"Three plugin types: general (tools/hooks), memory providers, and context engines.",
"hermes plugins install owner/repo installs plugins directly from GitHub.",
"8 external memory providers available: Honcho, OpenViking, Mem0, Hindsight, and more.",
"Plugin hooks include pre/post_tool_call, pre/post_llm_call, and transform_terminal_output for output canonicalization.",
"Plugin hooks include pre_tool_call, post_tool_call, pre_llm_call, and post_llm_call.",
# --- Miscellaneous ---
"Prompt caching (Anthropic) reduces costs by reusing cached system prompt prefixes.",
@@ -323,6 +323,7 @@ TIPS = [
"GPT-5 and Codex use 'developer' role instead of 'system' in the message format.",
"Per-task auxiliary overrides: auxiliary.vision.provider, auxiliary.compression.model, etc. in config.yaml.",
"The auxiliary client treats 'main' as a provider alias — resolves to your actual primary provider + model.",
"Smart routing can auto-route simple queries to a cheaper model — set smart_model_routing.enabled: true.",
"hermes claw migrate --dry-run previews OpenClaw migration without writing anything.",
"File paths pasted with quotes or escaped spaces are handled automatically — no manual cleanup needed.",
"Slash commands never trigger the large-paste collapse — /command with big arguments works correctly.",
@@ -345,3 +346,4 @@ def get_random_tip(exclude_recent: int = 0) -> str:
return random.choice(TIPS)
+5 -48
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`
@@ -876,7 +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":
return not fal_key_is_configured()
return not get_env_value("FAL_KEY")
return not _toolset_has_keys(ts_key, config)
@@ -1218,17 +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:
+5 -243
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."""
@@ -318,8 +232,8 @@ _CATEGORY_MERGE: Dict[str, str] = {
"checkpoints": "agent",
"approvals": "security",
"human_delay": "display",
"smart_model_routing": "agent",
"dashboard": "display",
"code_execution": "agent",
}
# Display order for tabs — unlisted categories sort alphabetically after these.
@@ -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)
@@ -2217,24 +1997,8 @@ async def get_usage_analytics(days: int = 30):
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()
@@ -2541,15 +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()
+1 -15
View File
@@ -155,15 +155,6 @@ def _cmd_subscribe(args):
"created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
}
if getattr(args, "deliver_only", False):
if route["deliver"] == "log":
print(
"Error: --deliver-only requires --deliver to be a real target "
"(telegram, discord, slack, github_comment, etc.) — not 'log'."
)
return
route["deliver_only"] = True
if args.deliver_chat_id:
route["deliver_extra"] = {"chat_id": args.deliver_chat_id}
@@ -181,12 +172,9 @@ def _cmd_subscribe(args):
else:
print(" Events: (all)")
print(f" Deliver: {route['deliver']}")
if route.get("deliver_only"):
print(" Mode: direct delivery (no agent, zero LLM cost)")
if route.get("prompt"):
prompt_preview = route["prompt"][:80] + ("..." if len(route["prompt"]) > 80 else "")
label = "Message" if route.get("deliver_only") else "Prompt"
print(f" {label}: {prompt_preview}")
print(f" Prompt: {prompt_preview}")
print(f"\n Configure your service to POST to the URL above.")
print(f" Use the secret for HMAC-SHA256 signature validation.")
print(f" The gateway must be running to receive events (hermes gateway run).\n")
@@ -204,8 +192,6 @@ def _cmd_list(args):
for name, route in subs.items():
events = ", ".join(route.get("events", [])) or "(all)"
deliver = route.get("deliver", "log")
if route.get("deliver_only"):
deliver = f"{deliver} (direct — no agent)"
desc = route.get("description", "")
print(f"{name}")
if desc:
+6 -156
View File
@@ -383,19 +383,10 @@ class SessionDB:
return session_id
def end_session(self, session_id: str, end_reason: str) -> None:
"""Mark a session as ended.
No-ops when the session is already ended. The first end_reason wins:
compression-split sessions must keep their ``end_reason = 'compression'``
record even if a later stale ``end_session()`` call (e.g. from a
desynced CLI session_id after ``/resume`` or ``/branch``) targets them
with a different reason. Use ``reopen_session()`` first if you
intentionally need to re-end a closed session with a new reason.
"""
"""Mark a session as ended."""
def _do(conn):
conn.execute(
"UPDATE sessions SET ended_at = ?, end_reason = ? "
"WHERE id = ? AND ended_at IS NULL",
"UPDATE sessions SET ended_at = ?, end_reason = ? WHERE id = ?",
(time.time(), end_reason, session_id),
)
self._execute_write(_do)
@@ -723,42 +714,6 @@ class SessionDB:
return f"{base} #{max_num + 1}"
def get_compression_tip(self, session_id: str) -> Optional[str]:
"""Walk the compression-continuation chain forward and return the tip.
A compression continuation is a child session where:
1. The parent's ``end_reason = 'compression'``
2. The child was created AFTER the parent was ended (started_at >= ended_at)
The second condition distinguishes compression continuations from
delegate subagents or branch children, which can also have a
``parent_session_id`` but were created while the parent was still live.
Returns the session_id of the latest continuation in the chain, or the
input ``session_id`` if it isn't part of a compression chain (or if the
input itself doesn't exist).
"""
current = session_id
# Bound the walk defensively — compression chains this deep are
# pathological and shouldn't happen in practice. 100 = plenty.
for _ in range(100):
with self._lock:
cursor = self._conn.execute(
"SELECT id FROM sessions "
"WHERE parent_session_id = ? "
" AND started_at >= ("
" SELECT ended_at FROM sessions "
" WHERE id = ? AND end_reason = 'compression'"
" ) "
"ORDER BY started_at DESC LIMIT 1",
(current, current),
)
row = cursor.fetchone()
if row is None:
return current
current = row["id"]
return current
def list_sessions_rich(
self,
source: str = None,
@@ -766,7 +721,6 @@ class SessionDB:
limit: int = 20,
offset: int = 0,
include_children: bool = False,
project_compression_tips: bool = True,
) -> List[Dict[str, Any]]:
"""List sessions with preview (first user message) and last active timestamp.
@@ -778,14 +732,6 @@ class SessionDB:
By default, child sessions (subagent runs, compression continuations)
are excluded. Pass ``include_children=True`` to include them.
With ``project_compression_tips=True`` (default), sessions that are
roots of compression chains are projected forward to their latest
continuation one logical conversation = one list entry, showing the
live continuation's id/message_count/title/last_active. This prevents
compressed continuations from being invisible to users while keeping
delegate subagents and branches hidden. Pass ``False`` to return the
raw root rows (useful for admin/debug UIs).
"""
where_clauses = []
params = []
@@ -836,77 +782,8 @@ class SessionDB:
s["preview"] = ""
sessions.append(s)
# Project compression roots forward to their tips. Each row whose
# end_reason is 'compression' has a continuation child; replace the
# surfaced fields (id, message_count, title, last_active, ended_at,
# end_reason, preview) with the tip's values so the list entry acts
# as the live conversation. Keep the root's started_at to preserve
# chronological ordering by original conversation start.
if project_compression_tips and not include_children:
projected = []
for s in sessions:
if s.get("end_reason") != "compression":
projected.append(s)
continue
tip_id = self.get_compression_tip(s["id"])
if tip_id == s["id"]:
projected.append(s)
continue
tip_row = self._get_session_rich_row(tip_id)
if not tip_row:
projected.append(s)
continue
# Preserve the root's started_at for stable sort order, but
# surface the tip's identity and activity data.
merged = dict(s)
for key in (
"id", "ended_at", "end_reason", "message_count",
"tool_call_count", "title", "last_active", "preview",
"model", "system_prompt",
):
if key in tip_row:
merged[key] = tip_row[key]
merged["_lineage_root_id"] = s["id"]
projected.append(merged)
sessions = projected
return sessions
def _get_session_rich_row(self, session_id: str) -> Optional[Dict[str, Any]]:
"""Fetch a single session with the same enriched columns as
``list_sessions_rich`` (preview + last_active). Returns None if the
session doesn't exist.
"""
query = """
SELECT s.*,
COALESCE(
(SELECT SUBSTR(REPLACE(REPLACE(m.content, X'0A', ' '), X'0D', ' '), 1, 63)
FROM messages m
WHERE m.session_id = s.id AND m.role = 'user' AND m.content IS NOT NULL
ORDER BY m.timestamp, m.id LIMIT 1),
''
) AS _preview_raw,
COALESCE(
(SELECT MAX(m2.timestamp) FROM messages m2 WHERE m2.session_id = s.id),
s.started_at
) AS last_active
FROM sessions s
WHERE s.id = ?
"""
with self._lock:
cursor = self._conn.execute(query, (session_id,))
row = cursor.fetchone()
if not row:
return None
s = dict(row)
raw = s.pop("_preview_raw", "").strip()
if raw:
text = raw[:60]
s["preview"] = text + ("..." if len(raw) > 60 else "")
else:
s["preview"] = ""
return s
# =========================================================================
# Message storage
# =========================================================================
@@ -1249,37 +1126,10 @@ 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]}
+5 -18
View File
@@ -43,23 +43,13 @@ from dotenv import load_dotenv
load_dotenv()
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.
"""
def _effective_temperature_for_model(model: str) -> Optional[float]:
"""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)
@@ -467,10 +457,7 @@ Complete the user's task step by step."""
"tools": self.tools,
"timeout": 300.0,
}
fixed_temperature = _effective_temperature_for_model(
self.model,
str(getattr(self.client, "base_url", "") or ""),
)
fixed_temperature = _effective_temperature_for_model(self.model)
if fixed_temperature is not None:
api_kwargs["temperature"] = fixed_temperature
-49
View File
@@ -282,31 +282,6 @@ def get_tool_definitions(
filtered_tools[i] = {"type": "function", "function": dynamic_schema}
break
# Rebuild discord_server schema based on the bot's privileged intents
# (detected from GET /applications/@me) and the user's action allowlist
# in config. Hides actions the bot's intents don't support so the
# model never attempts them, and annotates fetch_messages when the
# MESSAGE_CONTENT intent is missing.
if "discord_server" in available_tool_names:
try:
from tools.discord_tool import get_dynamic_schema
dynamic = get_dynamic_schema()
except Exception: # pragma: no cover — defensive, fall back to static
dynamic = None
if dynamic is None:
# Tool filtered out entirely (empty allowlist or detection disabled
# the only remaining actions). Drop it from the schema list.
filtered_tools = [
t for t in filtered_tools
if t.get("function", {}).get("name") != "discord_server"
]
available_tool_names.discard("discord_server")
else:
for i, td in enumerate(filtered_tools):
if td.get("function", {}).get("name") == "discord_server":
filtered_tools[i] = {"type": "function", "function": dynamic}
break
# Strip web tool cross-references from browser_navigate description when
# web_search / web_extract are not available. The static schema says
# "prefer web_search or web_extract" which causes the model to hallucinate
@@ -550,30 +525,6 @@ def handle_function_call(
except Exception:
pass
# Generic tool-result canonicalization seam: plugins receive the
# final result string (JSON, usually) and may replace it by
# returning a string from transform_tool_result. Runs after
# post_tool_call (which stays observational) and before the result
# is appended back into conversation context. Fail-open; the first
# valid string return wins; non-string returns are ignored.
try:
from hermes_cli.plugins import invoke_hook
hook_results = invoke_hook(
"transform_tool_result",
tool_name=function_name,
args=function_args,
result=result,
task_id=task_id or "",
session_id=session_id or "",
tool_call_id=tool_call_id or "",
)
for hook_result in hook_results:
if isinstance(hook_result, str):
result = hook_result
break
except Exception:
pass
return result
except Exception as e:
+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.

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