Validate tool call arguments against each tool's Parameters() JSON Schema
in ExecuteWithContext() before calling Execute(). This prevents type
confusion, argument injection, and missing-field errors from reaching tools.
Validates: required fields, type matching (string/integer/number/boolean/
array/object), enum membership, nested objects (recursive), array element
types. Rejects unexpected extra properties unless additionalProperties is
set to true (for MCP tool compatibility).
Returns ToolResult{IsError: true} on failure so the LLM can self-correct.
Ref: Security Hardening > Tool abuse prevention via strict parameter validation
Normalize missing security sections when attaching, loading, and saving
security config so existing config files without `.security.yml` can still
be updated safely. This fixes Pico channel setup for legacy/existing configs
and adds coverage for the missing security file path and unexported JSON
field behavior.
* feat: add ElevenLabs Scribe STT transcriber and Telegram SendVoice support
Add ElevenLabsTranscriber as an alternative speech-to-text provider using
the ElevenLabs Scribe API (scribe_v1). This enables voice message
transcription for users who already have an ElevenLabs API key, without
requiring a separate Groq account.
Changes:
- Add ElevenLabsTranscriber implementing the Transcriber interface
- Update DetectTranscriber to check providers.elevenlabs.api_key first,
falling back to Groq for backward compatibility
- Add ElevenLabs to ProvidersConfig
- Add "voice" media type for OGG files with "voice" in filename
- Add SendVoice support in Telegram channel for voice bubble messages
- Add comprehensive tests for ElevenLabs transcriber
Configuration:
"providers": {
"elevenlabs": {
"api_key": "sk_your_key_here"
}
}
Closes#1503 (partial)
* fix: move voice-bubble detection into Telegram channel to avoid regression in other channels
Address review feedback: keep inferMediaType returning "audio" for all
OGG files. Voice-bubble detection (SendVoice vs SendAudio) is now done
inside the Telegram channel based on filename, so other channels that
map "audio" explicitly are unaffected.
* fix: align VoiceConfig struct tags to pass golines formatter
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(agent): use ModelName in loop test added by upstream
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Add support for AWS Bedrock as an LLM provider using the Converse API.
The implementation is behind a build tag (-tags bedrock) to keep the
default binary size small.
Features:
- AWS SDK v2 with automatic credential chain (env vars, profiles, IAM roles)
- Converse API for unified access to Claude, Llama, Mistral models
- Tool/function calling support with proper document handling
- Image support with base64 decoding and size limits
- Request timeout configuration
- Region validation and endpoint resolution for all AWS partitions
Usage:
go build -tags bedrock
model: bedrock/us.anthropic.claude-sonnet-4-20250514-v1:0
api_base: us-east-1 (or full endpoint URL)
LLM
Prevent LLM from seeing its own credentials (API keys, tokens, secrets)
by filtering sensitive values from tool call results before sending to
the
model. Values are collected from .security.yml and replaced with
[FILTERED] using an efficient strings.Replacer (O(n+m)).
- Add FilterSensitiveData and FilterMinLength to ToolsConfig
- Implement SensitiveDataReplacer() with sync.Once caching in
SecurityConfig
- Use reflection to collect all sensitive values (Model API keys,
channel
tokens, web tool API keys, skills tokens)
- Apply filtering in agent loop at 4 tool result locations
- Add comprehensive tests covering all token types
- Move SecurityCopyFrom() before validateConfig() in PUT and PATCH handlers
- Make SecurityCopyFrom() call applySecurityConfig() to populate private fields
- Add tests for config save with security-only channel tokens
Without this fix, saving config via the web UI fails with 'channels.pico.token
is required' (and similar for Telegram/Discord) when tokens are stored in
.security.yml, because the validation ran before security credentials were
copied to the config struct.
Anthropic API returns 400 when multiple tool_result blocks share the same
tool_use_id, or when consecutive tool results are sent as separate user
messages. This fix:
1. Adds ToolCallID deduplication in sanitizeHistoryForProvider (context.go)
to drop duplicate tool results before sending to any provider.
2. Merges consecutive tool result messages into a single user message with
multiple tool_result content blocks in Anthropic's buildRequestBody,
for both "user" (with ToolCallID) and "tool" role messages.
3. Adds tests for both behaviors.
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Allow configuring provider-specific fields like reasoning_split for minimax via
the model config's extra_body map. These fields are merged into the request
body last, giving them precedence over default values.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Allow configuring provider-specific fields like reasoning_split for minimax via
the model config's extra_body map. These fields are merged into the request
body last, giving them precedence over default values.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(media): track cleanup ownership per path
Add explicit cleanup policy handling to MediaStore and count refs by path before deleting the underlying file. This prevents cleanup from removing shared files until the final ref is gone.
Refs #1886
* fix(tools): keep send_file refs forget-only
Mark send_file media registrations as forget-only so cleanup drops the ref without deleting the original workspace file.
Refs #1886
* fix(channels): declare managed media cleanup policy
Explicitly mark downloaded and managed channel media as delete-on-cleanup so media ownership is visible at each registration site.
Refs #1886
- Add hardware-banner.jpg, launcher-webui.jpg, launcher-tui.jpg (lost in
previous force push)
- Add io.LimitReader (1MB) to BaiduSearchProvider response body read
- Add no-results fallback and "Results for: ... (via Baidu Search)" header
- Add api_keys field to Brave and Perplexity tables in fr/ja/pt-br/vi
tools_configuration.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
golangci-lint v2.10.1 treats golines as a formatter. Running
`golangci-lint fmt` normalizes struct tag alignment in GLMSearchConfig,
WebToolsConfig, and MCPConfig — removing manual padding that golines
flagged as improperly formatted.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Run golines then gci to reach a stable state that satisfies both linters.
BaiduSearchConfig field caused gofumpt to re-align the struct, shifting
ToolConfig tag spacing and triggering golines on each subsequent fix.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Remove extra alignment space on ToolConfig field introduced by gofumpt
when BaiduSearchConfig was added, keeping all lines under 120 chars.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add BaiduSearchConfig struct and register in WebToolsConfig/defaults
- Insert Baidu Search in priority chain: DuckDuckGo > Baidu > GLM Search
- Use perplexityTimeout (30s) — Qianfan is LLM-based
- Fix response parsing: use references[] field per API spec
- Add baidu_search block to config.example.json
docs: sync configuration.md and README Documentation table across all languages
- Complete truncated configuration.md for fr/ja/pt-br/vi/zh: add Spawn
async flow diagram, Providers table, Model Configuration (all vendors,
examples, load balancing, migration), Provider Architecture, Scheduled
Tasks, and Advanced Topics links
- Add Hooks/Steering/SubTurn entries to Documentation table in all 8
READMEs (en/zh/fr/id/it/ja/pt-br/vi), ordered before Troubleshooting
- Add Baidu Search row to web search table in all 8 READMEs and
tools_configuration.md (en + 5 i18n); zh README reorders search
engines with China-friendly options first
- Add Matrix channel docs translations (fr/ja/pt-br/vi)
- Add Weixin channel to chat-apps.md and all README Channels tables
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- spawnSubTurn: set result=nil on panic instead of constructing a non-nil ToolResult
- HardAbort: roll back session history to initialHistoryLength after Finish()
- drainBusToSteering: switch to non-blocking reads after first message so function
returns promptly when the inbound channel is empty
- remove obsolete documentation files
- Add `AudioModelTranscriber` for model-based audio transcription via LLM providers
- Support selecting a transcription model with `voice.model_name` in config
- Keep Groq transcription as a fallback and move it into dedicated files with focused tests
- Serialize `data:audio/...` media as input_audio for OpenAI-compatible providers
- Improve transcription logging by rendering error fields as strings
- Add coverage for transcriber detection, audio-model behavior, provider audio serialization, and Groq transcription
Fixes#1890.
* feat(telegram): stream LLM responses in real-time via sendMessageDraft
Implements real-time token streaming to Telegram using the sendMessageDraft
API (telego v1.6.0). Instead of showing only a "Thinking..." placeholder
until the full response arrives, users now see partial LLM output appear
in the chat as it's generated.
The streaming pipeline threads through all layers:
- StreamingProvider interface (providers/types.go): opt-in ChatStream()
method that receives an onChunk callback with accumulated text
- OpenAI-compatible SSE streaming (openai_compat/provider.go): parses
SSE events with stream:true, handles text deltas and tool call assembly
- Anthropic native streaming (anthropic/provider.go): uses SDK's
NewStreaming() for direct Anthropic API connections
- HTTPProvider delegation (http_provider.go): delegates ChatStream to
the underlying openai_compat provider
- StreamingCapable + Streamer interfaces (channels/interfaces.go):
opt-in channel capability like TypingCapable/PlaceholderCapable
- Telegram streamer (telegram/telegram.go): BeginStream returns a
telegramStreamer that throttles sendMessageDraft calls (3s/200 chars)
with graceful degradation on API errors
- StreamDelegate bridge (bus/bus.go): decouples agent loop from channel
manager without tight imports
- Manager integration (manager.go): implements StreamDelegate, tracks
streamActive state, coordinates with placeholder editing
- Agent loop (loop.go): uses ChatStream when both provider and channel
support streaming, cancels stream on tool calls, skips PublishOutbound
when Finalize already delivered the message
Graceful degradation:
- Bots without forum/topics mode: first sendMessageDraft error sets
failed=true, subsequent Updates become no-ops, Finalize still delivers
via SendMessage. User sees normal non-streaming behavior.
- Non-streaming providers: type assertion fails, falls back to Chat()
- Config opt-out: streaming.enabled (default true) in telegram config
Closes#1098
* fix(telegram): delete placeholder message when streaming delivers response
When streaming was active, the "Thinking..." placeholder message stayed
in the chat because preSend only deleted the tracking entry without
removing the actual Telegram message. Now preSend deletes the placeholder
via the new MessageDeleter interface when streamActive is set.
* refactor(streaming): remove dead code and simplify streaming wiring
- Delete unused Anthropic ChatStream/parseStream (-131 lines) — factory
creates HTTPProvider for all OpenAI-compat providers including OpenRouter
- Simplify runLLMIteration from 4 to 3 return values (remove unused
streamed bool)
- Replace managerStreamer struct with finalizeHookStreamer using embedding
(Update/Cancel promoted, only Finalize overridden)
* fix(streaming): skip streamer acquisition when SendResponse is false
Heartbeat messages set SendResponse=false but the streaming path
was unconditionally acquiring a streamer, causing HEARTBEAT_OK to
leak to Telegram via streamer.Finalize().
* fix(streaming): guard streamer for non-sendable messages, add streaming config
Skip streamer acquisition for heartbeat (NoHistory=true), preventing
HEARTBEAT_OK from leaking to Telegram via streamer.Finalize().
Add streaming.enabled to Telegram defaults and example config.
* feat(telegram): stream LLM responses in real-time via sendMessageDraft
Implements real-time token streaming to Telegram using the sendMessageDraft
API (telego v1.6.0). Instead of showing only a "Thinking..." placeholder
until the full response arrives, users now see partial LLM output appear
in the chat as it's generated.
The streaming pipeline threads through all layers:
- StreamingProvider interface (providers/types.go): opt-in ChatStream()
method that receives an onChunk callback with accumulated text
- OpenAI-compatible SSE streaming (openai_compat/provider.go): parses
SSE events with stream:true, handles text deltas and tool call assembly
- Anthropic native streaming (anthropic/provider.go): uses SDK's
NewStreaming() for direct Anthropic API connections
- HTTPProvider delegation (http_provider.go): delegates ChatStream to
the underlying openai_compat provider
- StreamingCapable + Streamer interfaces (channels/interfaces.go):
opt-in channel capability like TypingCapable/PlaceholderCapable
- Telegram streamer (telegram/telegram.go): BeginStream returns a
telegramStreamer that throttles sendMessageDraft calls (3s/200 chars)
with graceful degradation on API errors
- StreamDelegate bridge (bus/bus.go): decouples agent loop from channel
manager without tight imports
- Manager integration (manager.go): implements StreamDelegate, tracks
streamActive state, coordinates with placeholder editing
- Agent loop (loop.go): uses ChatStream when both provider and channel
support streaming, cancels stream on tool calls, skips PublishOutbound
when Finalize already delivered the message
Graceful degradation:
- Bots without forum/topics mode: first sendMessageDraft error sets
failed=true, subsequent Updates become no-ops, Finalize still delivers
via SendMessage. User sees normal non-streaming behavior.
- Non-streaming providers: type assertion fails, falls back to Chat()
- Config opt-out: streaming.enabled (default true) in telegram config
Closes#1098
* fix(telegram): delete placeholder message when streaming delivers response
When streaming was active, the "Thinking..." placeholder message stayed
in the chat because preSend only deleted the tracking entry without
removing the actual Telegram message. Now preSend deletes the placeholder
via the new MessageDeleter interface when streamActive is set.
* refactor(streaming): remove dead code and simplify streaming wiring
- Delete unused Anthropic ChatStream/parseStream (-131 lines) — factory
creates HTTPProvider for all OpenAI-compat providers including OpenRouter
- Simplify runLLMIteration from 4 to 3 return values (remove unused
streamed bool)
- Replace managerStreamer struct with finalizeHookStreamer using embedding
(Update/Cancel promoted, only Finalize overridden)
* fix(streaming): skip streamer acquisition when SendResponse is false
Heartbeat messages set SendResponse=false but the streaming path
was unconditionally acquiring a streamer, causing HEARTBEAT_OK to
leak to Telegram via streamer.Finalize().
* fix(streaming): guard streamer for non-sendable messages, add streaming config
Skip streamer acquisition for heartbeat (NoHistory=true), preventing
HEARTBEAT_OK from leaking to Telegram via streamer.Finalize().
Add streaming.enabled to Telegram defaults and example config.
* fix(picoclaw): add missing closing brace for StreamingProvider interface
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: resolve golangci-lint formatting issues
Fix gci import ordering in telegram and anthropic provider, and break
long function signature in openai_compat provider to satisfy golines.
* fix: address code review feedback on streaming PR
- Deduplicate Streamer interface: alias channels.Streamer to bus.Streamer
to prevent type drift across packages
- Increase SSE scanner buffer to 10MB max to handle large single-line
responses that exceed bufio.Scanner's 64KB default
- Switch draftID generation from math/rand to crypto/rand for
collision-resistant random IDs
- Add context cancellation check in SSE parsing loop so cancelled
streams stop processing immediately
- Log Finalize failures with chat_id and content length for debugging
silent message delivery failures
* feat: make streaming throttle interval and min growth configurable
Move hardcoded streamThrottleInterval (3s) and streamMinGrowth (200)
into StreamingConfig so they can be tuned per deployment via config
or environment variables.
* fix(telegram): use parseTelegramChatID in DeleteMessage and BeginStream
These two functions called undefined parseChatID. Use
parseTelegramChatID with _ for the unused threadID instead of adding
a wrapper function. Fixes all three CI checks.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(streaming): set streamActive only after successful Finalize
Move onFinalize hook to run after Streamer.Finalize succeeds, so that
if Finalize fails the streamActive flag stays false and the regular
placeholder fallback path remains available.
Addresses review feedback from @alexhoshina.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat(pico): add pico_client outbound WebSocket channel
Add a client-mode counterpart to the existing pico server channel.
pico_client connects to a remote Pico Protocol WebSocket server,
enabling picoclaw to bridge messages with external Pico-compatible
services.
Includes config, factory registration, manager wiring, 8 unit tests,
and a minimal echo-server example for interactive testing.
* fix(pico): address PR #1198 review — goroutine leak, race, auth
- Add per-connection context cancel to picoConn to prevent pingLoop
goroutine leak on disconnect
- Re-acquire mutex in StartTyping stop closure to avoid stale conn race
- Remove query-param token auth from echo server (header-only)
- Move ListenAndServe to main goroutine where log.Fatal is safe
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: replace ConsumeInbound with InboundChan select in client test
MessageBus does not expose a ConsumeInbound method. Use a select on
InboundChan() with context cancellation, matching the pattern used in
the bus package tests.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Refactor agent loop execution around runTurn, add explicit turn state and interrupt semantics, and automatically continue queued steering that misses the current turn boundary.
* feat(feishu): add interactive card message parsing
Add support for parsing inbound Feishu interactive card messages.
When a user sends a card message, the text content is now extracted
and passed to the LLM for processing.
- Add extractCardText() to recursively extract text from card JSON
- Support both JSON 1.0 (legacy) and JSON 2.0 schema formats
- Handle nested elements: header, body, actions, columns
- Extract text from markdown, lark_md, and plain_text elements
- Add comprehensive unit tests for card parsing
Fixes #<issue_number>
💘 Generated with Crush
Assisted-by: GLM-5 via Crush <crush@charm.land>
* feat(feishu): extract and download images from interactive cards
When receiving interactive card messages, extract embedded images
(img_key, src, icon_key) and download them for LLM processing.
- Add extractCardImageKeys() to recursively extract image keys from card JSON
- Support img elements (img_key, src) and icon elements (icon_key)
- Update downloadInboundMedia() to handle MsgTypeInteractive
- Add comprehensive unit tests for image extraction
Images are downloaded and stored via MediaStore, then appended to
the message content as [image: photo] tags for LLM visibility.
💘 Generated with Crush
Assisted-by: GLM-5 via Crush <crush@charm.land>
* fix(feishu): simplify card parsing - pass raw JSON, only extract images
Address review feedback: text extraction cannot exhaustively handle all
card formats (i18n_elements, div.fields, etc.). Pass raw JSON to LLM
instead - same approach as MsgTypePost. Only image extraction remains
as images must be downloaded for LLM to process.
- Remove extractCardText() and helper functions
- extractContent() now returns raw JSON for MsgTypeInteractive
- Keep extractCardImageKeys() for downloading embedded images
- Update tests to expect raw JSON for interactive cards
* fix(feishu): don't append media tags to interactive card JSON
Appending media tags like "[attachment]" to raw JSON content produces
invalid JSON format. For interactive cards, the JSON already contains
image information and media refs are downloaded separately.
- Skip appendMediaTags for MsgTypeInteractive to preserve valid JSON
- Add test case for interactive card with images
* fix(feishu): filter out external URLs from card image extraction
Only Feishu-hosted image keys (img_xxx, icon_xxx) can be downloaded via
the Feishu API. External URLs in src field (https://...) should be
filtered out to avoid download failures.
- Add isFeishuImageKey() to detect Feishu-hosted keys vs external URLs
- Update extractImageKeysRecursive to skip external URLs in src field
- Add tests for external URL filtering and mixed scenarios
* feat(feishu): support downloading external images from interactive cards
Previously only Feishu-hosted images (img_key, icon_key) could be
downloaded. Now external URLs in src field are also downloaded via
HTTP and made available to the LLM.
- extractCardImageKeys now returns two slices: Feishu keys and external URLs
- Add downloadExternalImage to download images from HTTP URLs
- Update downloadInboundMedia to handle both Feishu API and HTTP downloads
- Update tests for new function signature
* fix(feishu): use HTTP client with timeout for external image downloads
Replaced http.DefaultClient with a client that has a 30-second timeout
to prevent hanging on unresponsive external URLs.
Generated with Crush
Assisted-by: GLM-5 via Crush <crush@charm.land>
* fix(feishu): resolve lint errors for shadow and formatting
- Rename err variables to avoid shadowing in downloadExternalImage
- Fix struct field alignment in TestExtractCardImageKeys
Generated with Crush
Assisted-by: GLM-5 via Crush <crush@charm.land>
* refactor(feishu): pass external image URLs to LLM instead of downloading
Instead of downloading external images from interactive cards, pass
the URLs directly to LLM. This reduces network overhead and lets
vision-capable models fetch images as needed.
- Remove downloadExternalImage function
- Append external URLs to card content for LLM processing
- Only download Feishu-hosted images via API
💘 Generated with Crush
Assisted-by: GLM-5 via Crush <crush@charm.land>
* fix(feishu): add blank line between functions for gci formatting
* fix(feishu): keep interactive card content as valid JSON
Changed newTestAgentLoop calls from using 3 blank identifiers to 2 by
assigning the unused provider parameter and explicitly marking it as
unused with `_ = provider`. This fixes the dogsled linter violations
that were causing CI failures.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
When both providers and model_list are configured, model_list entries
with empty api_key or api_base now automatically inherit from the
matching provider (matched by protocol prefix in the Model field).
Example: a model_list entry with model='deepseek/deepseek-chat' and
no api_key will inherit from providers.deepseek.api_key.
Explicit model_list values always take precedence.
Changes:
- Add InheritProviderCredentials() in migration.go
- Call it in LoadConfig() after provider-to-model-list conversion
- Add protocolProviderMapping for all 25 supported protocols
- 6 new tests covering inheritance, precedence, and edge cases
Closes#1635
* feat(wecom): add WebSocket long-connection support for WeCom AI Bot
- Introduced WeComAIBotWSChannel to handle WebSocket connections.
- Updated NewWeComAIBotChannel to prioritize WebSocket mode when BotID and Secret are provided.
- Enhanced WeComAIBotConfig to include BotID and Secret for WebSocket mode.
- Implemented message handling for text, image, voice, and mixed messages in WebSocket mode.
- Added tests for WebSocket mode functionality and ensured backward compatibility with webhook mode.
- Refactored existing code to improve clarity and maintainability.
* feat(wecom): implement periodic processing hints and enforce WeCom stream deadline
* feat(wecom): update WeCom AI Bot setup instructions and configuration parameters
* feat(wecom): enhance WeCom AI Bot with image handling and media support
* feat(wecom): refactor WeCom AI Bot task management to use req_id for concurrent message handling
* feat(wecom): refactor WeCom AI Bot to manage request states and late replies
* feat(wecom): add response timeout handling and improve WebSocket command acknowledgment
* fix(wecom): improve error handling for late reply proactive push delivery
* refactor(wecom): reorganize WeCom AI Bot configuration fields for improved readability
* fix(wecom): update error message for websocket delivery failure in late reply proactive push
* feat(wecom): implement shared HTTP clients for WeCom image handling and response URL posting
* refactor(wecom): simplify image download and storage process in storeWSImage
* fix(wecom): improve error logging for WebSocket message handling and proactive push delivery
* fix(wecom): enhance WebSocket connection stability and task cancellation handling
* fix(wecom): improve WS image message handling by ensuring proper error response and initializing mediaRefs
* feat(wecom): enhance WeCom AIBot WebSocket handling with message deduplication and support for file and video messages
* refactor(wecom): rename image handling functions to media handling and enhance media type support
* feat(wecom): implement byte-aware content splitting for WeCom AI Bot stream messages
* refactor(wecom): remove max message length constraint from WeCom AIBot WS channel
Add nil checks in NewSpawnTool and NewSubagentTool constructors to
handle nil manager gracefully. Fix spelling errors (cancelled->canceled)
and remove unused test code. Update tests to use mock spawner.
Replace hardcoded constants with config-driven parameters in agents.defaults:
- MaxDepth, MaxConcurrent, DefaultTimeout, DefaultTokenBudget, ConcurrencyTimeout
- Support JSON config and env vars (PICOCLAW_AGENTS_DEFAULTS_SUBTURN_*)
- Add getSubTurnConfig() for runtime config resolution with defaults
- Apply defaultTokenBudget when no explicit budget is provided
Rationale: SubTurn is agent execution infrastructure, not a tool, so it belongs
in agents.defaults rather than tools config.
Example:
{
"agents": {
"defaults": {
"subturn": {
"max_depth": 5,
"max_concurrent": 10,
"default_timeout_minutes": 10
}
}
}
}
Add ActualSystemPrompt and InitialMessages fields to SubTurnConfig to enable
stateful worker context passing across multiple evaluation iterations.
Changes:
- Add ActualSystemPrompt field to separate system role from user task description
- Add InitialMessages field to preload ephemeral session history before agent loop starts
- Add Messages field to ToolResult for carrying session history (internal use, not serialized)
- Update runTurn to inject system prompt and preload history from InitialMessages
- Update AgentLoopSpawner to map new fields from tools.SubTurnConfig to agent.SubTurnConfig
This enables the evaluator-optimizer execution strategy in team tool to maintain
worker context across iterations while keeping SubTurn isolation intact.
* feat(config): support multiple API keys for failover
Add api_keys field to ModelConfig to support multiple API keys with
automatic failover. When multiple keys are configured, they are expanded
into separate model entries with fallbacks set up for key-level failover.
Example config:
{
"model_name": "glm-4.7",
"model": "zhipu/glm-4.7",
"api_keys": ["key1", "key2", "key3"]
}
Expands internally to:
- glm-4.7 (key1) -> fallbacks: [glm-4.7__key_1, glm-4.7__key_2]
- glm-4.7__key_1 (key2)
- glm-4.7__key_2 (key3)
Backward compatible: single api_key still works as before.
* fix(providers): change cooldown tracking from provider to ModelKey
This enables proper key-switching when multiple API keys share the same
provider. Previously, when one key failed, all keys were blocked because
cooldown was tracked per-provider.
Now each (provider, model) combination has independent cooldown, allowing
fallback to alternate keys when one is rate limited.
Includes TestMultiKeyWithModelFallback and related failover tests.
* feat(feishu): add Lark (international) support via IsLark config field
Add IsLark field to FeishuConfig to switch between Feishu and Lark
domains. Also fix domain inconsistency where WS client defaulted to
LarkBaseUrl while HTTP client used FeishuBaseUrl.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: update documentation and web UI for Lark support
Add is_lark field to config example, feishu docs, i18n translations,
and web frontend form.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* fix(tools): propagate tool registry to subagents via Clone
SubagentManager was created with an empty ToolRegistry and SetTools()
was never called, causing all subagent tool invocations to fail with
"tool not found". This was a regression from the multi-agent refactor.
Fix: clone the parent agent's tool registry into the subagent manager
after creation but before spawn/spawn_status registration — giving
subagents access to file, exec, web, and other tools while preventing
recursive subagent spawning.
- Add ToolRegistry.Clone() for independent shallow copies
- Call subagentManager.SetTools(agent.Tools.Clone()) in registerSharedTools
- Add tests for Clone isolation, empty clone, and hidden tool state
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(tools): fix cron_test build error and add TTL clone test
- Fix cron_test.go:229 — replace non-existent SubscribeOutbound(ctx)
with select on OutboundChan(), matching the MessageBus channel API
- Add TestToolRegistry_Clone_PreservesTTLValue per reviewer feedback
- Add version reset note to Clone() doc comment
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat(agent): add structured agent definition loader
Parse AGENT.md frontmatter into a runtime definition and pair it with SOUL.md while keeping a legacy AGENTS.md fallback for transition.
Refs #1218
* refactor(agent): build context from structured agent files
Use AGENT.md and SOUL.md as the structured bootstrap source, ignore IDENTITY.md for structured agents, remove USER.md from the new context flow, and update pkg/agent tests accordingly.
Refs #1218
* refactor(onboard): switch workspace templates to AGENT.md
Replace the legacy AGENTS.md, IDENTITY.md, and USER.md templates with a structured AGENT.md plus SOUL.md, and update the onboard template test to assert the new generated files.
Refs #1218
* docs(readme): update workspace layout for AGENT.md
Refresh the documented workspace tree across the README translations so onboarding now points to AGENT.md and SOUL.md instead of the retired AGENTS.md, IDENTITY.md, and USER.md files.
Refs #1218
* feat(agent): restore workspace USER.md context
* docs(readme): document workspace USER.md layout
* fix: sort agent definition imports for gci
When building parameters for Anthropic API calls, tool calls with empty
names would cause 400 Bad Request errors with the message:
'tool_use.name: String should have at least 1 character'
This fix adds a check to skip tool calls that have empty names, preventing
the API error and allowing the conversation to continue normally.
Fixes#1658
