Merge upstream/main into feat/searxng

Resolve merge conflicts to keep both SearXNG and GLM Search
providers. Updated search priority order to:
Perplexity > Brave > SearXNG > Tavily > DuckDuckGo > GLM Search

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Truong Vinh Tran
2026-03-04 21:42:03 +01:00
240 changed files with 32624 additions and 5595 deletions
+193 -42
View File
@@ -54,7 +54,7 @@
## 📢 News
2026-02-16 🎉 PicoClaw hit 12K stars in one week! Thank you all for your support! PicoClaw is growing faster than we ever imagined. Given the high volume of PRs, we urgently need community maintainers. Our volunteer roles and roadmap are officially posted [here](docs/ROADMAP.md) —we cant wait to have you on board!
2026-02-16 🎉 PicoClaw hit 12K stars in one week! Thank you all for your support! PicoClaw is growing faster than we ever imagined. Given the high volume of PRs, we urgently need community maintainers. Our volunteer roles and roadmap are officially posted [here](ROADMAP.md) —we cant wait to have you on board!
2026-02-13 🎉 PicoClaw hit 5000 stars in 4days! Thank you for the community! There are so many PRs & issues coming in (during Chinese New Year holidays), we are finalizing the Project Roadmap and setting up the Developer Group to accelerate PicoClaw's development.
🚀 Call to Action: Please submit your feature requests in GitHub Discussions. We will review and prioritize them during our upcoming weekly meeting.
@@ -154,10 +154,15 @@ make build
# Build for multiple platforms
make build-all
# Build for Raspberry Pi Zero 2 W (32-bit: make build-linux-arm; 64-bit: make build-linux-arm64)
make build-pi-zero
# Build And Install
make install
```
**Raspberry Pi Zero 2 W:** Use the binary that matches your OS: 32-bit Raspberry Pi OS → `make build-linux-arm` (output: `build/picoclaw-linux-arm`); 64-bit → `make build-linux-arm64` (output: `build/picoclaw-linux-arm64`). Or run `make build-pi-zero` to build both.
## 🐳 Docker Compose
You can also run PicoClaw using Docker Compose without installing anything locally.
@@ -167,39 +172,43 @@ You can also run PicoClaw using Docker Compose without installing anything local
git clone https://github.com/sipeed/picoclaw.git
cd picoclaw
# 2. Set your API keys
cp config/config.example.json config/config.json
vim config/config.json # Set DISCORD_BOT_TOKEN, API keys, etc.
# 2. First run — auto-generates docker/data/config.json then exits
docker compose -f docker/docker-compose.yml --profile gateway up
# The container prints "First-run setup complete." and stops.
# 3. Build & Start
docker compose --profile gateway up -d
# 3. Set your API keys
vim docker/data/config.json # Set provider API keys, bot tokens, etc.
# 4. Start
docker compose -f docker/docker-compose.yml --profile gateway up -d
```
> [!TIP]
> **Docker Users**: By default, the Gateway listens on `127.0.0.1` which is not accessible from the host. If you need to access the health endpoints or expose ports, set `PICOCLAW_GATEWAY_HOST=0.0.0.0` in your environment or update `config.json`.
```bash
# 5. Check logs
docker compose -f docker/docker-compose.yml logs -f picoclaw-gateway
# 4. Check logs
docker compose logs -f picoclaw-gateway
# 5. Stop
docker compose --profile gateway down
# 6. Stop
docker compose -f docker/docker-compose.yml --profile gateway down
```
### Agent Mode (One-shot)
```bash
# Ask a question
docker compose run --rm picoclaw-agent -m "What is 2+2?"
docker compose -f docker/docker-compose.yml run --rm picoclaw-agent -m "What is 2+2?"
# Interactive mode
docker compose run --rm picoclaw-agent
docker compose -f docker/docker-compose.yml run --rm picoclaw-agent
```
### Rebuild
### Update
```bash
docker compose --profile gateway build --no-cache
docker compose --profile gateway up -d
docker compose -f docker/docker-compose.yml pull
docker compose -f docker/docker-compose.yml --profile gateway up -d
```
### 🚀 Quick Start
@@ -232,7 +241,8 @@ picoclaw onboard
{
"model_name": "gpt4",
"model": "openai/gpt-5.2",
"api_key": "your-api-key"
"api_key": "your-api-key",
"request_timeout": 300
},
{
"model_name": "claude-sonnet-4.6",
@@ -272,6 +282,7 @@ picoclaw onboard
```
> **New**: The `model_list` configuration format allows zero-code provider addition. See [Model Configuration](#model-configuration-model_list) for details.
> `request_timeout` is optional and uses seconds. If omitted or set to `<= 0`, PicoClaw uses the default timeout (120s).
**3. Get API Keys**
@@ -297,16 +308,19 @@ That's it! You have a working AI assistant in 2 minutes.
## 💬 Chat Apps
Talk to your picoclaw through Telegram, Discord, DingTalk, LINE, or WeCom
Talk to your picoclaw through Telegram, Discord, WhatsApp, DingTalk, LINE, or WeCom
> **Note**: All webhook-based channels (LINE, WeCom, etc.) are served on a single shared Gateway HTTP server (`gateway.host`:`gateway.port`, default `127.0.0.1:18790`). There are no per-channel ports to configure. Note: Feishu uses WebSocket/SDK mode and does not use the shared HTTP webhook server.
| Channel | Setup |
| ------------ | ---------------------------------- |
| **Telegram** | Easy (just a token) |
| **Discord** | Easy (bot token + intents) |
| **WhatsApp** | Easy (native: QR scan; or bridge URL) |
| **QQ** | Easy (AppID + AppSecret) |
| **DingTalk** | Medium (app credentials) |
| **LINE** | Medium (credentials + webhook URL) |
| **WeCom** | Medium (CorpID + webhook setup) |
| **WeCom AI Bot** | Medium (Token + AES key) |
<details>
<summary><b>Telegram</b> (Recommended)</summary>
@@ -367,8 +381,7 @@ picoclaw gateway
"discord": {
"enabled": true,
"token": "YOUR_BOT_TOKEN",
"allow_from": ["YOUR_USER_ID"],
"mention_only": false
"allow_from": ["YOUR_USER_ID"]
}
}
}
@@ -381,9 +394,31 @@ picoclaw gateway
* Bot Permissions: `Send Messages`, `Read Message History`
* Open the generated invite URL and add the bot to your server
**Optional: Mention-only mode**
**Optional: Group trigger mode**
Set `"mention_only": true` to make the bot respond only when @-mentioned. Useful for shared servers where you want the bot to respond only when explicitly called.
By default the bot responds to all messages in a server channel. To restrict responses to @-mentions only, add:
```json
{
"channels": {
"discord": {
"group_trigger": { "mention_only": true }
}
}
}
```
You can also trigger by keyword prefixes (e.g. `!bot`):
```json
{
"channels": {
"discord": {
"group_trigger": { "prefixes": ["!bot"] }
}
}
}
```
**6. Run**
@@ -393,6 +428,33 @@ picoclaw gateway
</details>
<details>
<summary><b>WhatsApp</b> (native via whatsmeow)</summary>
PicoClaw can connect to WhatsApp in two ways:
- **Native (recommended):** In-process using [whatsmeow](https://github.com/tulir/whatsmeow). No separate bridge. Set `"use_native": true` and leave `bridge_url` empty. On first run, scan the QR code with WhatsApp (Linked Devices). Session is stored under your workspace (e.g. `workspace/whatsapp/`). The native channel is **optional** to keep the default binary small; build with `-tags whatsapp_native` (e.g. `make build-whatsapp-native` or `go build -tags whatsapp_native ./cmd/...`).
- **Bridge:** Connect to an external WebSocket bridge. Set `bridge_url` (e.g. `ws://localhost:3001`) and keep `use_native` false.
**Configure (native)**
```json
{
"channels": {
"whatsapp": {
"enabled": true,
"use_native": true,
"session_store_path": "",
"allow_from": []
}
}
}
```
If `session_store_path` is empty, the session is stored in `&lt;workspace&gt;/whatsapp/`. Run `picoclaw gateway`; on first run, scan the QR code printed in the terminal with WhatsApp → Linked Devices.
</details>
<details>
<summary><b>QQ</b></summary>
@@ -477,8 +539,6 @@ picoclaw gateway
"enabled": true,
"channel_secret": "YOUR_CHANNEL_SECRET",
"channel_access_token": "YOUR_CHANNEL_ACCESS_TOKEN",
"webhook_host": "0.0.0.0",
"webhook_port": 18791,
"webhook_path": "/webhook/line",
"allow_from": []
}
@@ -486,13 +546,15 @@ picoclaw gateway
}
```
> LINE webhook is served on the shared Gateway server (`gateway.host`:`gateway.port`, default `127.0.0.1:18790`).
**3. Set up Webhook URL**
LINE requires HTTPS for webhooks. Use a reverse proxy or tunnel:
```bash
# Example with ngrok
ngrok http 18791
# Example with ngrok (gateway default port is 18790)
ngrok http 18790
```
Then set the Webhook URL in LINE Developers Console to `https://your-domain/webhook/line` and enable **Use webhook**.
@@ -505,19 +567,18 @@ picoclaw gateway
> In group chats, the bot responds only when @mentioned. Replies quote the original message.
> **Docker Compose**: Add `ports: ["18791:18791"]` to the `picoclaw-gateway` service to expose the webhook port.
</details>
<details>
<summary><b>WeCom (企业微信)</b></summary>
PicoClaw supports two types of WeCom integration:
PicoClaw supports three types of WeCom integration:
**Option 1: WeCom Bot (智能机器人)** - Easier setup, supports group chats
**Option 2: WeCom App (自建应用)** - More features, proactive messaging
**Option 1: WeCom Bot (Bot)** - Easier setup, supports group chats
**Option 2: WeCom App (Custom App)** - More features, proactive messaging, private chat only
**Option 3: WeCom AI Bot (AI Bot)** - Official AI Bot, streaming replies, supports group & private chat
See [WeCom App Configuration Guide](docs/wecom-app-configuration.md) for detailed setup instructions.
See [WeCom AI Bot Configuration Guide](docs/channels/wecom/wecom_aibot/README.zh.md) for detailed setup instructions.
**Quick Setup - WeCom Bot:**
@@ -536,8 +597,6 @@ See [WeCom App Configuration Guide](docs/wecom-app-configuration.md) for detaile
"token": "YOUR_TOKEN",
"encoding_aes_key": "YOUR_ENCODING_AES_KEY",
"webhook_url": "https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=YOUR_KEY",
"webhook_host": "0.0.0.0",
"webhook_port": 18793,
"webhook_path": "/webhook/wecom",
"allow_from": []
}
@@ -545,6 +604,8 @@ See [WeCom App Configuration Guide](docs/wecom-app-configuration.md) for detaile
}
```
> WeCom webhook is served on the shared Gateway server (`gateway.host`:`gateway.port`, default `127.0.0.1:18790`).
**Quick Setup - WeCom App:**
**1. Create an app**
@@ -552,10 +613,11 @@ See [WeCom App Configuration Guide](docs/wecom-app-configuration.md) for detaile
* Go to WeCom Admin Console → App Management → Create App
* Copy **AgentId** and **Secret**
* Go to "My Company" page, copy **CorpID**
**2. Configure receive message**
* In App details, click "Receive Message" → "Set API"
* Set URL to `http://your-server:18792/webhook/wecom-app`
* Set URL to `http://your-server:18790/webhook/wecom-app`
* Generate **Token** and **EncodingAESKey**
**3. Configure**
@@ -570,8 +632,6 @@ See [WeCom App Configuration Guide](docs/wecom-app-configuration.md) for detaile
"agent_id": 1000002,
"token": "YOUR_TOKEN",
"encoding_aes_key": "YOUR_ENCODING_AES_KEY",
"webhook_host": "0.0.0.0",
"webhook_port": 18792,
"webhook_path": "/webhook/wecom-app",
"allow_from": []
}
@@ -585,7 +645,40 @@ See [WeCom App Configuration Guide](docs/wecom-app-configuration.md) for detaile
picoclaw gateway
```
> **Note**: WeCom App requires opening port 18792 for webhook callbacks. Use a reverse proxy for HTTPS.
> **Note**: WeCom webhook callbacks are served on the Gateway port (default 18790). Use a reverse proxy for HTTPS.
**Quick Setup - WeCom AI Bot:**
**1. Create an AI Bot**
* Go to WeCom Admin Console → App Management → AI Bot
* In the AI Bot settings, configure callback URL: `http://your-server:18791/webhook/wecom-aibot`
* Copy **Token** and click "Random Generate" for **EncodingAESKey**
**2. Configure**
```json
{
"channels": {
"wecom_aibot": {
"enabled": true,
"token": "YOUR_TOKEN",
"encoding_aes_key": "YOUR_43_CHAR_ENCODING_AES_KEY",
"webhook_path": "/webhook/wecom-aibot",
"allow_from": [],
"welcome_message": "Hello! How can I help you?"
}
}
}
```
**3. Run**
```bash
picoclaw gateway
```
> **Note**: WeCom AI Bot uses streaming pull protocol — no reply timeout concerns. Long tasks (>30 seconds) automatically switch to `response_url` push delivery.
</details>
@@ -599,6 +692,31 @@ Connect Picoclaw to the Agent Social Network simply by sending a single message
Config file: `~/.picoclaw/config.json`
### Environment Variables
You can override default paths using environment variables. This is useful for portable installations, containerized deployments, or running picoclaw as a system service. These variables are independent and control different paths.
| Variable | Description | Default Path |
|-------------------|-----------------------------------------------------------------------------------------------------------------------------------------|---------------------------|
| `PICOCLAW_CONFIG` | Overrides the path to the configuration file. This directly tells picoclaw which `config.json` to load, ignoring all other locations. | `~/.picoclaw/config.json` |
| `PICOCLAW_HOME` | Overrides the root directory for picoclaw data. This changes the default location of the `workspace` and other data directories. | `~/.picoclaw` |
**Examples:**
```bash
# Run picoclaw using a specific config file
# The workspace path will be read from within that config file
PICOCLAW_CONFIG=/etc/picoclaw/production.json picoclaw gateway
# Run picoclaw with all its data stored in /opt/picoclaw
# Config will be loaded from the default ~/.picoclaw/config.json
# Workspace will be created at /opt/picoclaw/workspace
PICOCLAW_HOME=/opt/picoclaw picoclaw agent
# Use both for a fully customized setup
PICOCLAW_HOME=/srv/picoclaw PICOCLAW_CONFIG=/srv/picoclaw/main.json picoclaw gateway
```
### Workspace Layout
PicoClaw stores data in your configured workspace (default: `~/.picoclaw/workspace`):
@@ -618,6 +736,20 @@ PicoClaw stores data in your configured workspace (default: `~/.picoclaw/workspa
└── USER.md # User preferences
```
### Skill Sources
By default, skills are loaded from:
1. `~/.picoclaw/workspace/skills` (workspace)
2. `~/.picoclaw/skills` (global)
3. `<current-working-directory>/skills` (builtin)
For advanced/test setups, you can override the builtin skills root with:
```bash
export PICOCLAW_BUILTIN_SKILLS=/path/to/skills
```
### 🔒 Security Sandbox
PicoClaw runs in a sandboxed environment by default. The agent can only access files and execute commands within the configured workspace.
@@ -794,7 +926,7 @@ The subagent has access to tools (message, web_search, etc.) and can communicate
### Providers
> [!NOTE]
> Groq provides free voice transcription via Whisper. If configured, Telegram voice messages will be automatically transcribed.
> Groq provides free voice transcription via Whisper. If configured, audio messages from any channel will be automatically transcribed at the agent level.
| Provider | Purpose | Get API Key |
| -------------------------- | --------------------------------------- | -------------------------------------------------------------------- |
@@ -822,7 +954,7 @@ This design also enables **multi-agent support** with flexible provider selectio
#### 📋 All Supported Vendors
| Vendor | `model` Prefix | Default API Base | Protocol | API Key |
| ------------------- | ----------------- | --------------------------------------------------- | --------- | ---------------------------------------------------------------- |
| ------------------- | ----------------- |-----------------------------------------------------| --------- | ---------------------------------------------------------------- |
| **OpenAI** | `openai/` | `https://api.openai.com/v1` | OpenAI | [Get Key](https://platform.openai.com) |
| **Anthropic** | `anthropic/` | `https://api.anthropic.com/v1` | Anthropic | [Get Key](https://console.anthropic.com) |
| **智谱 AI (GLM)** | `zhipu/` | `https://open.bigmodel.cn/api/paas/v4` | OpenAI | [Get Key](https://open.bigmodel.cn/usercenter/proj-mgmt/apikeys) |
@@ -834,6 +966,7 @@ This design also enables **multi-agent support** with flexible provider selectio
| **NVIDIA** | `nvidia/` | `https://integrate.api.nvidia.com/v1` | OpenAI | [Get Key](https://build.nvidia.com) |
| **Ollama** | `ollama/` | `http://localhost:11434/v1` | OpenAI | Local (no key needed) |
| **OpenRouter** | `openrouter/` | `https://openrouter.ai/api/v1` | OpenAI | [Get Key](https://openrouter.ai/keys) |
| **LiteLLM Proxy** | `litellm/` | `http://localhost:4000/v1 | OpenAI | Your LiteLLM proxy key |
| **VLLM** | `vllm/` | `http://localhost:8000/v1` | OpenAI | Local |
| **Cerebras** | `cerebras/` | `https://api.cerebras.ai/v1` | OpenAI | [Get Key](https://cerebras.ai) |
| **火山引擎** | `volcengine/` | `https://ark.cn-beijing.volces.com/api/v3` | OpenAI | [Get Key](https://console.volcengine.com) |
@@ -930,10 +1063,24 @@ This design also enables **multi-agent support** with flexible provider selectio
"model_name": "my-custom-model",
"model": "openai/custom-model",
"api_base": "https://my-proxy.com/v1",
"api_key": "sk-...",
"request_timeout": 300
}
```
**LiteLLM Proxy**
```json
{
"model_name": "lite-gpt4",
"model": "litellm/lite-gpt4",
"api_base": "http://localhost:4000/v1",
"api_key": "sk-..."
}
```
PicoClaw strips only the outer `litellm/` prefix before sending the request, so proxy aliases like `litellm/lite-gpt4` send `lite-gpt4`, while `litellm/openai/gpt-4o` sends `openai/gpt-4o`.
#### Load Balancing
Configure multiple endpoints for the same model name—PicoClaw will automatically round-robin between them:
@@ -1078,7 +1225,11 @@ picoclaw agent -m "Hello"
"allow_from": [""]
},
"whatsapp": {
"enabled": false
"enabled": false,
"bridge_url": "ws://localhost:3001",
"use_native": false,
"session_store_path": "",
"allow_from": []
},
"feishu": {
"enabled": false,