hermes-agent/website/docs/user-guide/messaging/qqbot.md
Teknium fef1a41248
docs: round 2 audit — messaging, developer-guide, guides, integrations (#22858)
Cross-checked 75 docs pages under user-guide/messaging/, developer-guide/,
guides/, and integrations/ against the live registries and gateway code.

messaging/
- index.md: API Server toolset is hermes-api-server (was 'hermes (default)');
  Google Chat slug is hermes-google_chat (underscore — plugin name uses _).
- google_chat.md: drop bogus 'pip install hermes-agent[google_chat]' (no such
  extra); list the actual deps (google-cloud-pubsub, google-api-python-client,
  google-auth, google-auth-oauthlib).
- qqbot.md: config namespace is platforms.qqbot (was platforms.qq, which is
  silently ignored by the adapter); QQ_STT_BASE_URL is not read directly —
  baseUrl lives under platforms.qqbot.extra.stt.
- teams-meetings.md: 'hermes teams-pipeline' is plugin-gated (teams_pipeline
  plugin must be enabled), not a built-in subcommand.
- sms.md: example log line 0.0.0.0:8080 -> 127.0.0.1:8080 (default
  SMS_WEBHOOK_HOST).
- open-webui.md: API_SERVER_* are env vars, not YAML keys — write them to
  per-profile .env, not 'hermes config set' (same pattern fixed in
  api-server.md last round). Also bumped example ports to 8650+ to dodge the
  default webhook (8644)/wecom-callback (8645)/msgraph-webhook (8646)
  collision.

developer-guide/
- architecture.md: tool/toolset counts (61/52 -> 70+/~28); LOC stamps for
  run_agent.py, cli.py, hermes_cli/main.py, setup.py, mcp_tool.py,
  gateway/run.py replaced with 'large file' to stop drifting.
- agent-loop.md: same LOC drift (~13,700 -> 'a large file (15k+ lines)').
- gateway-internals.md: '14+ external messaging platforms' -> '20+'; gateway
  platform tree updated (qqbot is a sub-package, not qqbot.py; added
  yuanbao.py, feishu_comment.py, msgraph_webhook.py); 'gateway/builtin_hooks/
  (always active)' was wrong — it's an empty extension point and
  _register_builtin_hooks() is a no-op stub.
- acp-internals.md: drop fictional 'message_callback' from the bridged-
  callbacks list; clarify thinking_callback is currently set to None.
- provider-runtime.md: provider list was missing AWS Bedrock, Azure Foundry,
  NVIDIA NIM, xAI, Arcee, GMI Cloud, StepFun, Qwen OAuth, Xiaomi, Ollama
  Cloud, LM Studio, Tencent TokenHub. Fallback section described only the
  legacy single-pair model — corrected to the canonical list-form
  fallback_providers chain.
- environments.md: parsers list missing llama4_json and the deepseek_v31
  alias; both register via @register_parser.
- browser-supervisor.md: drop reference to scripts/browser_supervisor_e2e.py
  which doesn't exist in-repo.
- contributing.md: tinker-atropos is a git submodule — note that
  'git submodule update --init' is required if cloning without
  --recurse-submodules.

guides/
- operate-teams-meeting-pipeline.md: cron flags were all wrong — schedule is
  positional (not --schedule), the script-only flag is --no-agent (not
  --script-only), and there's no --command flag. Replaced with a real example
  that creates the script under ~/.hermes/scripts/ and uses the actual flags.
  Also replaced fictional 'hermes cron show <name>' with 'hermes cron status'.
- automation-templates.md: 'cron create --skills "a,b"' doesn't work —
  the flag is --skill (singular, repeatable). Fixed all 5 occurrences via AST
  rewrite.
- minimax-oauth.md: 'hermes auth add minimax-oauth --region cn' silently
  fails because --region isn't registered on the auth-add argparse spec.
  Pointed users at the minimax-cn provider (or MINIMAX_CN_API_KEY env) for
  China-region access.
- cron-script-only.md: 'hermes send' is fictional — replaced the comparison-
  table mention with a webhook-subscription pointer; also fixed the dead link
  to /guides/pipe-script-output (page doesn't exist).
- cron-troubleshooting.md: 'hermes serve' isn't a real subcommand. Pointed
  at 'hermes gateway' (foreground) / 'hermes gateway start' (service).
- local-ollama-setup.md: 'agent.api_timeout' is not a config key. The right
  knob is the HERMES_API_TIMEOUT env var.
- python-library.md: run_conversation() return dict has only final_response
  and messages — task_id is stored on the agent instance, not echoed back.
- use-mcp-with-hermes.md: '--args /c "npx -y …"' wraps the npx command in
  one quoted string, so cmd.exe gets a single arg instead of the multi-token
  command line it needs. Removed the surrounding quotes — argparse nargs='*'
  collects each token correctly.

integrations/
- providers.md: Bedrock guardrail YAML keys were 'id'/'version' (don't exist);
  actual keys are guardrail_identifier/guardrail_version (matches DEFAULT_CONFIG
  and the run_agent.py reader). GMI default base URL (api.gmi.ai/v1 ->
  api.gmi-serving.com/v1) and portal URL (inference.gmi.ai -> www.gmicloud.ai)
  refreshed. Fallback section rewritten to lead with the canonical
  fallback_providers list form (was leading with the legacy fallback_model
  single dict); supported-providers list extended to include azure-foundry,
  alibaba-coding-plan, lmstudio.

index.md
- '68 built-in tools' -> '70+'; '15+ platforms' was both inconsistent with
  integrations/index.md ('19+') and undercounted — bumped to 20+ and added
  Weixin/QQ Bot/Yuanbao/Google Chat to the list.

Validation: 'npm run build' clean (exit 0); broken-link count unchanged at
155 (same as round-1 post-skill-regen baseline). 24 files, +132/-89.
2026-05-09 15:00:24 -07:00

4.5 KiB

QQ Bot

Connect Hermes to QQ via the Official QQ Bot API (v2) — supporting private (C2C), group @-mentions, guild, and direct messages with voice transcription.

Overview

The QQ Bot adapter uses the Official QQ Bot API to:

  • Receive messages via a persistent WebSocket connection to the QQ Gateway
  • Send text and markdown replies via the REST API
  • Download and process images, voice messages, and file attachments
  • Transcribe voice messages using Tencent's built-in ASR or a configurable STT provider

Prerequisites

  1. QQ Bot Application — Register at q.qq.com:

    • Create a new application and note your App ID and App Secret
    • Enable the required intents: C2C messages, Group @-messages, Guild messages
    • Configure your bot in sandbox mode for testing, or publish for production
  2. Dependencies — The adapter requires aiohttp and httpx:

    pip install aiohttp httpx
    

Configuration

Interactive setup

hermes gateway setup

Select QQ Bot from the platform list and follow the prompts.

Manual configuration

Set the required environment variables in ~/.hermes/.env:

QQ_APP_ID=your-app-id
QQ_CLIENT_SECRET=your-app-secret

Environment Variables

Variable Description Default
QQ_APP_ID QQ Bot App ID (required)
QQ_CLIENT_SECRET QQ Bot App Secret (required)
QQBOT_HOME_CHANNEL OpenID for cron/notification delivery
QQBOT_HOME_CHANNEL_NAME Display name for home channel Home
QQ_ALLOWED_USERS Comma-separated user OpenIDs for DM access open (all users)
QQ_GROUP_ALLOWED_USERS Comma-separated group OpenIDs for group access
QQ_ALLOW_ALL_USERS Set to true to allow all DMs false
QQ_PORTAL_HOST Override the QQ portal host (set to sandbox.q.qq.com for sandbox routing) q.qq.com
QQ_STT_API_KEY API key for voice-to-text provider
QQ_STT_BASE_URL (Not read directly — set platforms.qqbot.extra.stt.baseUrl in config.yaml instead) n/a
QQ_STT_MODEL STT model name glm-asr

Advanced Configuration

For fine-grained control, add platform settings to ~/.hermes/config.yaml:

platforms:
  qqbot:
    enabled: true
    extra:
      app_id: "your-app-id"
      client_secret: "your-secret"
      markdown_support: true       # enable QQ markdown (msg_type 2). Config-only; no env-var equivalent.
      dm_policy: "open"          # open | allowlist | disabled
      allow_from:
        - "user_openid_1"
      group_policy: "open"       # open | allowlist | disabled
      group_allow_from:
        - "group_openid_1"
      stt:
        provider: "zai"          # zai (GLM-ASR), openai (Whisper), etc.
        baseUrl: "https://open.bigmodel.cn/api/coding/paas/v4"
        apiKey: "your-stt-key"
        model: "glm-asr"

Voice Messages (STT)

Voice transcription works in two stages:

  1. QQ built-in ASR (free, always tried first) — QQ provides asr_refer_text in voice message attachments, which uses Tencent's own speech recognition

  2. Configured STT provider (fallback) — If QQ's ASR doesn't return text, the adapter calls an OpenAI-compatible STT API:

    • Zhipu/GLM (zai): Default provider, uses glm-asr model
    • OpenAI Whisper: Set QQ_STT_BASE_URL and QQ_STT_MODEL
    • Any OpenAI-compatible STT endpoint

Troubleshooting

Bot disconnects immediately (quick disconnect)

This usually means:

  • Invalid App ID / Secret — Double-check your credentials at q.qq.com
  • Missing permissions — Ensure the bot has the required intents enabled
  • Sandbox-only bot — If the bot is in sandbox mode, it can only receive messages from QQ's sandbox test channel

Voice messages not transcribed

  1. Check if QQ's built-in asr_refer_text is present in the attachment data
  2. If using a custom STT provider, verify QQ_STT_API_KEY is set correctly
  3. Check gateway logs for STT error messages

Messages not delivered

  • Verify the bot's intents are enabled at q.qq.com
  • Check QQ_ALLOWED_USERS if DM access is restricted
  • For group messages, ensure the bot is @mentioned (group policy may require allowlisting)
  • Check QQBOT_HOME_CHANNEL for cron/notification delivery

Connection errors

  • Ensure aiohttp and httpx are installed: pip install aiohttp httpx
  • Check network connectivity to api.sgroup.qq.com and the WebSocket gateway
  • Review gateway logs for detailed error messages and reconnect behavior