Use enum-backed channel menu dispatch to prevent duplicated match-arm indices and unreachable-pattern warnings (issue #913).
Also switch OpenAI native tool spec parsing to owned serde structs so tool-schema validation compiles.
The hardcoded .default(11) became stale when Lark/Feishu was
added at index 11, shifting 'Done — finish setup' to index 12.
The wizard now pre-selects the wrong channel instead of 'Done'.
Use options.len() - 1 so the default always tracks the last
item regardless of how many channels exist.
Fixes#913
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Replace the non-functional OpenAI-compatible stub with a purpose-built
Bedrock provider that implements AWS SigV4 signing from first principles
using hmac/sha2/hex crates — no AWS SDK dependency.
Key capabilities:
- SigV4 authentication (AKSK + optional session token)
- Converse API with native tool calling support
- Prompt caching via cachePoint heuristics
- Proper URI encoding for model IDs containing colons
- Resilient response parsing with unknown block type fallback
Also updates:
- Factory wiring and credential resolution bypass for AKSK auth
- Onboard wizard with Bedrock-specific model selection and guidance
- Provider reference docs with auth, region, and model ID details
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The existing iMessage channel relies on AppleScript and only works on macOS.
Linq provides a REST API for iMessage, RCS, and SMS — this gives ZeroClaw
native iMessage support on any platform via webhooks.
Implements LinqChannel following the same patterns as WhatsAppChannel:
- Channel trait impl (send, listen, health_check, typing indicators)
- Webhook handler with HMAC-SHA256 signature verification
- Sender allowlist filtering
- Onboarding wizard step with connection testing
- 18 unit tests covering parsing, auth, and signature verification
Resolves#656 — the prior issue was closed without a merged PR, so this
is the actual implementation.
Add configurable timeout for processing channel messages (LLM + tools).
Default: 300s (optimized for on-device LLMs like Ollama).
Can be overridden in config.toml:
[channels_config]
message_timeout_secs = 600
- add scope-aware proxy schema and runtime wiring for providers/channels/tools
- add agent callable proxy_config tool for fast proxy setup
- standardize docs system with index, template, and playbooks
Adds mention_only config option to Telegram channel, allowing the bot
to only respond to messages that @-mention the bot in group chats.
Direct messages are always processed regardless of this setting.
Behavior:
- When mention_only = true: Bot only responds to group messages containing @botname
- When mention_only = false (default): Bot responds to all allowed messages
- DM/private chats always work regardless of mention_only setting
Implementation:
- Fetch and cache bot username from Telegram API on startup
- Check for @botname mention in group messages
- Strip mention from message content before processing
Config example:
[channels.telegram]
bot_token = "your_token"
mention_only = true
Changes:
- src/config/schema.rs: Add mention_only to TelegramConfig
- src/channels/telegram.rs: Implement mention_only logic + 6 new tests
- src/channels/mod.rs: Update factory calls
- src/cron/scheduler.rs: Update constructor call
- src/onboard/wizard.rs: Update wizard config
- src/daemon/mod.rs: Update test config
- src/integrations/registry.rs: Update test config
- TESTING_TELEGRAM.md: Add mention_only test section
- CHANGELOG.md: Document feature
Risk: medium
Backward compatible: Yes (default: false)
Wire the existing provider-layer streaming infrastructure through the
channel trait and agent loop so Telegram users see tokens arrive
progressively via editMessageText, instead of waiting for the full
response.
Changes:
- Add StreamMode enum (off/partial/block) and draft_update_interval_ms
to TelegramConfig (backward-compatible defaults: off, 1000ms)
- Add supports_draft_updates/send_draft/update_draft/finalize_draft to
Channel trait with no-op defaults (zero impact on existing channels)
- Implement draft methods on TelegramChannel using sendMessage +
editMessageText with rate limiting and Markdown fallback
- Add on_delta mpsc::Sender<String> parameter to run_tool_call_loop
(None preserves existing behavior)
- Wire streaming in process_channel_message: when channel supports
drafts, send initial draft, spawn updater task, finalize on completion
Edge cases handled:
- 4096-char limit: finalize draft and fall back to chunked send
- Broken Markdown: use no parse_mode during streaming, apply on finalize
- Edit failures: fall back to sending complete response as new message
- Rate limiting: configurable draft_update_interval_ms (default 1s)
Add native web search capability that works regardless of LLM tool-calling
support. This is particularly useful for GLM models via Z.AI that don't
reliably support standard tool calling formats.
Features:
- DuckDuckGo provider (free, no API key required)
- Brave Search provider (optional, requires API key)
- Configurable max results and timeout
- Enabled by default
Configuration (config.toml):
[web_search]
enabled = true
provider = "duckduckgo"
max_results = 5
The tool allows agents to search the web for current information without
requiring proper tool calling support from the LLM.
Also includes CI workflow fix for first-interaction action inputs.
Classify incoming user messages by keyword/pattern and route to the
appropriate model hint automatically, feeding into the existing
RouterProvider. Disabled by default; opt-in via [query_classification]
config section.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add three onboarding improvements for the Astrai provider:
- Signup URL: users now see "Get your API key at: https://as-trai.com"
during onboarding instead of a blank prompt
- Curated model list: auto (best execution), GPT-4o, Claude Sonnet 4.5,
DeepSeek V3, Llama 3.3 70B
- Live model fetch: Astrai's OpenAI-compatible /v1/models endpoint is
now queried when an API key is present, matching other providers
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Three fixes for conversation quality issues:
1. loop_.rs and channels now read max_tool_iterations from AgentConfig
instead of using a hardcoded constant of 10, making it configurable.
2. Memory recall now filters entries below a configurable
min_relevance_score threshold (default 0.4), preventing unrelated
memories from bleeding into conversation context.
3. Default hybrid search weights rebalanced from 70/30 vector/keyword
to 40/60, reducing cross-topic semantic bleed.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add memory.sqlite_open_timeout_secs config (None = wait indefinitely).
- When set, open the DB in a thread with recv_timeout; cap at 300s.
- Default remains None for backward compatibility.
- Document in README; add tests for timeout path and default.
- Add "astrai" to factory_all_providers_create_successfully test
- Add "astrai" => "ASTRAI_API_KEY" in provider_env_var() for onboarding
- Add Astrai to onboarding provider selection list (Gateway tier)
- Add provider_env_var("astrai") assertion in known_providers test
Addresses review comments from @chumyin on #486.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implement QQ Official messaging channel using OAuth2 authentication
with Discord-like WebSocket gateway protocol for events.
- Add QQChannel with send/listen/health_check support
- Add QQConfig (app_id, app_secret, allowed_users)
- OAuth2 token refresh and WebSocket heartbeat management
- Message deduplication with capacity-based eviction
- Support both C2C (private) and group AT messages
- Integrate with onboard wizard, integrations registry, and channel
list/doctor commands
- Include unit tests for user allowlist, deduplication, and config
Integrate cloud endpoint behavior into existing ollama provider flow, avoid a separate standalone doc, and keep configuration minimal via api_url/api_key.
Also align reply_target and memory trait call sites needed for current baseline compatibility.
* fix(providers): add CN/global endpoint variants for Chinese vendors
* fix(onboard): deduplicate provider key-url match arms
* chore(i18n): normalize non-English literals to English
Adds a new Signal messaging channel that connects to a running
signal-cli daemon's native HTTP API (JSON-RPC + SSE).
[channels_config.signal]
http_url = "http://127.0.0.1:8686"
account = "+1234567890"
group_id = "group_id" # optional, omit for all
allowed_from = ["+1111111111"]
ignore_attachments = true
ignore_stories = true
Implementation:
- SSE listener at /api/v1/events for incoming messages
- JSON-RPC sends via /api/v1/rpc (method: send)
- Health check via /api/v1/check
- Typing indicators via sendTyping RPC
- Supports DMs and group messages (room_id filtering)
- Allowlist-based sender filtering (E.164 or wildcard)
- Optional attachment/story filtering
- Fixed has_supervised_channels() to include signal + irc/lark/dingtalk
Registered in channel list, doctor, start, integrations registry, and
daemon supervisor gate. Includes unit tests for config serde, sender
filtering, room matching, envelope processing, and deserialization.
No new dependencies (uses existing uuid, futures-util, reqwest).
When mention_only is true, the bot only responds to messages that
@-mention the bot. Other messages in the guild are silently ignored.
Also strips the bot mention from content before processing.
Co-authored-by: Will Sarg <12886992+willsarg@users.noreply.github.com>
