picoclaw/pkg/config/defaults.go

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// PicoClaw - Ultra-lightweight personal AI agent
// License: MIT
//
// Copyright (c) 2026 PicoClaw contributors
package config
import (
"path/filepath"
"github.com/sipeed/picoclaw/pkg"
)
// DefaultConfig returns the default configuration for PicoClaw.
func DefaultConfig() *Config {
workspacePath := filepath.Join(GetHome(), pkg.WorkspaceName)
return &Config{
Version: CurrentVersion,
Agents: AgentsConfig{
Defaults: AgentDefaults{
Workspace: workspacePath,
RestrictToWorkspace: true,
Provider: "",
MaxTokens: 32768,
Temperature: nil, // nil means use provider default
MaxToolIterations: 50,
SummarizeMessageThreshold: 20,
SummarizeTokenPercent: 75,
SteeringMode: "one-at-a-time",
ToolFeedback: ToolFeedbackConfig{
Enabled: false,
MaxArgsLength: 300,
},
SplitOnMarker: false,
},
},
Session: SessionConfig{
Dimensions: []string{"chat"},
},
Channels: ChannelsConfig{
WhatsApp: WhatsAppConfig{
Enabled: false,
BridgeURL: "ws://localhost:3001",
UseNative: false,
SessionStorePath: "",
AllowFrom: FlexibleStringSlice{},
},
Telegram: TelegramConfig{
Enabled: false,
AllowFrom: FlexibleStringSlice{},
Typing: TypingConfig{Enabled: true},
Placeholder: PlaceholderConfig{
Enabled: true,
Text: FlexibleStringSlice{"Thinking... 💭"},
},
feat(telegram): stream LLM responses via sendMessageDraft (#1101) * 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>
2026-03-20 13:04:14 +00:00
Streaming: StreamingConfig{Enabled: true, ThrottleSeconds: 3, MinGrowthChars: 200},
UseMarkdownV2: false,
},
Feishu: FeishuConfig{
Enabled: false,
AppID: "",
AllowFrom: FlexibleStringSlice{},
},
Discord: DiscordConfig{
Enabled: false,
AllowFrom: FlexibleStringSlice{},
MentionOnly: false,
},
MaixCam: MaixCamConfig{
Enabled: false,
Host: "0.0.0.0",
Port: 18790,
AllowFrom: FlexibleStringSlice{},
},
QQ: QQConfig{
Enabled: false,
AppID: "",
AllowFrom: FlexibleStringSlice{},
MaxMessageLength: 2000,
MaxBase64FileSizeMiB: 0,
},
DingTalk: DingTalkConfig{
Enabled: false,
ClientID: "",
AllowFrom: FlexibleStringSlice{},
},
Slack: SlackConfig{
Enabled: false,
AllowFrom: FlexibleStringSlice{},
},
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Matrix: MatrixConfig{
Enabled: false,
Homeserver: "https://matrix.org",
UserID: "",
DeviceID: "",
JoinOnInvite: true,
AllowFrom: FlexibleStringSlice{},
GroupTrigger: GroupTriggerConfig{
MentionOnly: true,
},
Placeholder: PlaceholderConfig{
Enabled: true,
Text: FlexibleStringSlice{"Thinking... 💭"},
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},
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CryptoDatabasePath: "",
CryptoPassphrase: "",
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},
LINE: LINEConfig{
Enabled: false,
WebhookHost: "0.0.0.0",
WebhookPort: 18791,
WebhookPath: "/webhook/line",
AllowFrom: FlexibleStringSlice{},
GroupTrigger: GroupTriggerConfig{MentionOnly: true},
},
OneBot: OneBotConfig{
Enabled: false,
WSUrl: "ws://127.0.0.1:3001",
ReconnectInterval: 5,
AllowFrom: FlexibleStringSlice{},
},
WeCom: WeComConfig{
Enabled: false,
BotID: "",
WebSocketURL: "wss://openws.work.weixin.qq.com",
SendThinkingMessage: true,
AllowFrom: FlexibleStringSlice{},
},
Weixin: WeixinConfig{
Enabled: false,
BaseURL: "https://ilinkai.weixin.qq.com/",
CDNBaseURL: "https://novac2c.cdn.weixin.qq.com/c2c",
AllowFrom: FlexibleStringSlice{},
Proxy: "",
},
Pico: PicoConfig{
Enabled: false,
PingInterval: 30,
ReadTimeout: 60,
WriteTimeout: 10,
MaxConnections: 100,
AllowFrom: FlexibleStringSlice{},
},
},
Hooks: HooksConfig{
Enabled: true,
Defaults: HookDefaultsConfig{
ObserverTimeoutMS: 500,
InterceptorTimeoutMS: 5000,
ApprovalTimeoutMS: 60000,
},
},
ModelList: []*ModelConfig{
// ============================================
// Add your API key to the model you want to use
// ============================================
// Zhipu AI (智谱) - https://open.bigmodel.cn/usercenter/apikeys
{
ModelName: "glm-4.7",
Model: "zhipu/glm-4.7",
APIBase: "https://open.bigmodel.cn/api/paas/v4",
},
// OpenAI - https://platform.openai.com/api-keys
{
ModelName: "gpt-5.4",
Model: "openai/gpt-5.4",
APIBase: "https://api.openai.com/v1",
},
// Anthropic Claude - https://console.anthropic.com/settings/keys
{
ModelName: "claude-sonnet-4.6",
Model: "anthropic/claude-sonnet-4.6",
APIBase: "https://api.anthropic.com/v1",
},
// DeepSeek - https://platform.deepseek.com/
{
ModelName: "deepseek-chat",
Model: "deepseek/deepseek-chat",
APIBase: "https://api.deepseek.com/v1",
},
// Venice AI - https://venice.ai
{
ModelName: "venice-uncensored",
Model: "venice/venice-uncensored",
APIBase: "https://api.venice.ai/api/v1",
},
// Google Gemini - https://ai.google.dev/
{
ModelName: "gemini-2.0-flash",
Model: "gemini/gemini-2.0-flash-exp",
APIBase: "https://generativelanguage.googleapis.com/v1beta",
},
// Qwen (通义千问) - https://dashscope.console.aliyun.com/apiKey
{
ModelName: "qwen-plus",
Model: "qwen/qwen-plus",
APIBase: "https://dashscope.aliyuncs.com/compatible-mode/v1",
},
// Moonshot (月之暗面) - https://platform.moonshot.cn/console/api-keys
{
ModelName: "moonshot-v1-8k",
Model: "moonshot/moonshot-v1-8k",
APIBase: "https://api.moonshot.cn/v1",
},
// Groq - https://console.groq.com/keys
{
ModelName: "llama-3.3-70b",
Model: "groq/llama-3.3-70b-versatile",
APIBase: "https://api.groq.com/openai/v1",
},
// OpenRouter (100+ models) - https://openrouter.ai/keys
{
ModelName: "openrouter-auto",
Model: "openrouter/auto",
APIBase: "https://openrouter.ai/api/v1",
},
{
ModelName: "openrouter-gpt-5.4",
Model: "openrouter/openai/gpt-5.4",
APIBase: "https://openrouter.ai/api/v1",
},
// NVIDIA - https://build.nvidia.com/
{
ModelName: "nemotron-4-340b",
Model: "nvidia/nemotron-4-340b-instruct",
APIBase: "https://integrate.api.nvidia.com/v1",
},
// Cerebras - https://inference.cerebras.ai/
{
ModelName: "cerebras-llama-3.3-70b",
Model: "cerebras/llama-3.3-70b",
APIBase: "https://api.cerebras.ai/v1",
},
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// Vivgrid - https://vivgrid.com
{
ModelName: "vivgrid-auto",
Model: "vivgrid/auto",
APIBase: "https://api.vivgrid.com/v1",
},
// Volcengine (火山引擎) - https://console.volcengine.com/ark
{
ModelName: "ark-code-latest",
Model: "volcengine/ark-code-latest",
APIBase: "https://ark.cn-beijing.volces.com/api/v3",
},
{
ModelName: "doubao-pro",
Model: "volcengine/doubao-pro-32k",
APIBase: "https://ark.cn-beijing.volces.com/api/v3",
},
// ShengsuanYun (神算云)
{
ModelName: "deepseek-v3",
Model: "shengsuanyun/deepseek-v3",
APIBase: "https://api.shengsuanyun.com/v1",
},
// Antigravity (Google Cloud Code Assist) - OAuth only
{
ModelName: "gemini-flash",
Model: "antigravity/gemini-3-flash",
AuthMethod: "oauth",
},
// GitHub Copilot - https://github.com/settings/tokens
{
ModelName: "copilot-gpt-5.4",
Model: "github-copilot/gpt-5.4",
APIBase: "http://localhost:4321",
AuthMethod: "oauth",
},
// Ollama (local) - https://ollama.com
{
ModelName: "llama3",
Model: "ollama/llama3",
APIBase: "http://localhost:11434/v1",
},
// Mistral AI - https://console.mistral.ai/api-keys
{
ModelName: "mistral-small",
Model: "mistral/mistral-small-latest",
APIBase: "https://api.mistral.ai/v1",
},
// Avian - https://avian.io
{
ModelName: "deepseek-v3.2",
Model: "avian/deepseek/deepseek-v3.2",
APIBase: "https://api.avian.io/v1",
},
{
ModelName: "kimi-k2.5",
Model: "avian/moonshotai/kimi-k2.5",
APIBase: "https://api.avian.io/v1",
},
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// Minimax - https://api.minimaxi.com/
{
ModelName: "MiniMax-M2.5",
Model: "minimax/MiniMax-M2.5",
APIBase: "https://api.minimaxi.com/v1",
ExtraBody: map[string]any{"reasoning_split": true},
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},
// LongCat - https://longcat.chat/platform
{
ModelName: "LongCat-Flash-Thinking",
Model: "longcat/LongCat-Flash-Thinking",
APIBase: "https://api.longcat.chat/openai",
},
// ModelScope (魔搭社区) - https://modelscope.cn/my/tokens
{
ModelName: "modelscope-qwen",
Model: "modelscope/Qwen/Qwen3-235B-A22B-Instruct-2507",
APIBase: "https://api-inference.modelscope.cn/v1",
},
// VLLM (local) - http://localhost:8000
{
ModelName: "local-model",
Model: "vllm/custom-model",
APIBase: "http://localhost:8000/v1",
},
// LM Studio (local) - http://localhost:1234
{
ModelName: "lmstudio-local",
Model: "lmstudio/openai/gpt-oss-20b",
APIBase: "http://localhost:1234/v1",
},
// Azure OpenAI - https://portal.azure.com
// model_name is a user-friendly alias; the model field's path after "azure/" is your deployment name
{
ModelName: "azure-gpt5",
Model: "azure/my-gpt5-deployment",
APIBase: "https://your-resource.openai.azure.com",
},
},
Gateway: GatewayConfig{
Host: "127.0.0.1",
Port: 18790,
HotReload: false,
LogLevel: DefaultGatewayLogLevel,
},
Tools: ToolsConfig{
FilterSensitiveData: true,
FilterMinLength: 8,
MediaCleanup: MediaCleanupConfig{
ToolConfig: ToolConfig{
Enabled: true,
},
MaxAge: 30,
Interval: 5,
},
Web: WebToolsConfig{
ToolConfig: ToolConfig{
Enabled: true,
},
PreferNative: true,
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Proxy: "",
FetchLimitBytes: 10 * 1024 * 1024, // 10MB by default
Format: "plaintext",
Brave: BraveConfig{
Enabled: false,
MaxResults: 5,
},
Tavily: TavilyConfig{
Enabled: false,
MaxResults: 5,
},
DuckDuckGo: DuckDuckGoConfig{
Enabled: true,
MaxResults: 5,
},
Perplexity: PerplexityConfig{
Enabled: false,
MaxResults: 5,
},
SearXNG: SearXNGConfig{
Enabled: false,
BaseURL: "",
MaxResults: 5,
},
GLMSearch: GLMSearchConfig{
Enabled: false,
BaseURL: "https://open.bigmodel.cn/api/paas/v4/web_search",
SearchEngine: "search_std",
MaxResults: 5,
},
BaiduSearch: BaiduSearchConfig{
Enabled: false,
BaseURL: "https://qianfan.baidubce.com/v2/ai_search/web_search",
MaxResults: 10,
},
},
Cron: CronToolsConfig{
ToolConfig: ToolConfig{
Enabled: true,
},
ExecTimeoutMinutes: 5,
AllowCommand: true,
},
Exec: ExecConfig{
ToolConfig: ToolConfig{
Enabled: true,
},
EnableDenyPatterns: true,
AllowRemote: true,
TimeoutSeconds: 60,
},
Skills: SkillsToolsConfig{
ToolConfig: ToolConfig{
Enabled: true,
},
Registries: SkillsRegistriesConfig{
ClawHub: ClawHubRegistryConfig{
Enabled: true,
BaseURL: "https://clawhub.ai",
},
},
MaxConcurrentSearches: 2,
SearchCache: SearchCacheConfig{
MaxSize: 50,
TTLSeconds: 300,
},
},
feat(feishu,tools): add outbound media delivery via send_file tool (#1156) * feat(feishu): implement SendMedia and add send_file tool Add outbound media support for the Feishu channel so the agent can send images and files to users via the MediaStore pipeline. Feishu channel: - SendMedia dispatches media parts as image or file uploads - sendImage uploads via Image.Create then sends image message - sendFile uploads via File.Create then sends file message - feishuFileType maps extensions to Feishu file_type values send_file tool: - New tool lets the LLM send a local file to the current chat - Validates path, registers file in MediaStore, returns media ref - Agent loop wires tool registration, MediaStore propagation, and context updates Tested on Radxa Cubie A7A (arm64) with Feishu websocket channel. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(agent): publish outbound media regardless of SendResponse flag The SendResponse flag controls whether the agent loop publishes the final text response (callers that publish it themselves set this to false). However, the media publish path was also gated behind this flag, which meant tool-produced media was silently dropped for normal channel messages. Media should be published immediately when a tool returns media refs, independent of how the text response is delivered. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(tools): use magic-bytes MIME detection and add file size limit to send_file - Replace hardcoded extension-to-MIME map with h2non/filetype (magic bytes) + mime.TypeByExtension fallback, consistent with the vision pipeline in resolveMediaRefs - Add configurable max file size check (defaults to config.DefaultMaxMediaSize, 20 MB) to prevent oversized uploads - Add tests for magic-bytes detection, extension fallback, size limit, and default max size Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor(agent): add ForEachTool to AgentRegistry for cross-agent tool lookup Extract the pattern of iterating agents to find a named tool into AgentRegistry.ForEachTool, simplifying SetMediaStore propagation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(agent,tools): adapt send_file to ctx-based channel injection after upstream refactor Replace ContextualTool interface (removed upstream) with direct ctx reading in SendFileTool.Execute, using ToolChannel/ToolChatID helpers. Remove updateToolContexts which is no longer needed since ExecuteWithContext already injects channel/chatID into ctx for all tools. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(tools): support toggling send_file tool via config Add SendFileConfig with Enabled field to ToolsConfig, defaulting to true. Wrap send_file tool registration in loop.go with the config check, consistent with the pattern used by other tools. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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SendFile: ToolConfig{
Enabled: true,
},
SendTTS: ToolConfig{
Enabled: false,
},
MCP: MCPConfig{
ToolConfig: ToolConfig{
Enabled: false,
},
Discovery: ToolDiscoveryConfig{
Enabled: false,
TTL: 5,
MaxSearchResults: 5,
UseBM25: true,
UseRegex: false,
},
MaxInlineTextChars: DefaultMCPMaxInlineTextChars,
Servers: map[string]MCPServerConfig{},
},
AppendFile: ToolConfig{
Enabled: true,
},
EditFile: ToolConfig{
Enabled: true,
},
FindSkills: ToolConfig{
Enabled: true,
},
I2C: ToolConfig{
Enabled: false, // Hardware tool - Linux only
},
InstallSkill: ToolConfig{
Enabled: true,
},
ListDir: ToolConfig{
Enabled: true,
},
Message: ToolConfig{
Enabled: true,
},
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ReadFile: ReadFileToolConfig{
Enabled: true,
Mode: ReadFileModeBytes,
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MaxReadFileSize: 64 * 1024, // 64KB
},
Spawn: ToolConfig{
Enabled: true,
},
feat(tools): add SpawnStatusTool for reporting subagent statuses (#1540) * feat(tools): add SpawnStatusTool for reporting subagent statuses * feat(tools): enhance SpawnStatusTool to restrict task visibility by conversation context * feat(tests): add Unicode result truncation and channel filtering tests for SpawnStatusTool * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * feat(tools): enhance SpawnStatusTool with task ID validation and sorting by creation timestamp * feat(tools): update SpawnStatusTool description and parameter documentation for clarity * refactor(tests): improve comments for clarity in ChannelFiltering test case * fix(tools): update no subagents message for clarity and remove unnecessary locking in runTask * fix(tools): improve description clarity for SpawnStatusTool regarding task context * feat(tools): add spawn_status tool configuration and registration * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * fix(agent): improve subagent management for spawn and spawn_status tools * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * fix(tests): update ResultTruncation_Unicode test to use valid CJK character --------- Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> Co-authored-by: lxowalle <83055338+lxowalle@users.noreply.github.com>
2026-03-17 06:41:43 +00:00
SpawnStatus: ToolConfig{
Enabled: false,
},
SPI: ToolConfig{
Enabled: false, // Hardware tool - Linux only
},
Subagent: ToolConfig{
Enabled: true,
},
WebFetch: ToolConfig{
Enabled: true,
},
WriteFile: ToolConfig{
Enabled: true,
},
},
Heartbeat: HeartbeatConfig{
Enabled: true,
Interval: 30,
},
Devices: DevicesConfig{
Enabled: false,
MonitorUSB: true,
},
Voice: VoiceConfig{
ModelName: "",
TTSModelName: "",
EchoTranscription: false,
ElevenLabsAPIKey: "",
},
BuildInfo: BuildInfo{
Version: Version,
GitCommit: GitCommit,
BuildTime: BuildTime,
GoVersion: GoVersion,
},
}
}