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
