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https://github.com/zhayujie/chatgpt-on-wechat.git
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feat: release 2.0.9
This commit is contained in:
zhayujie
@@ -1,8 +1,16 @@
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---
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title: Claude
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description: Claude model configuration
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description: Anthropic Claude model configuration (Text Chat + Image Understanding)
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---
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Claude is provided by Anthropic and supports both text chat and image understanding. The mainstream Sonnet / Opus models natively support vision, so no separate Vision model needs to be specified.
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<Tip>
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All capabilities below can be configured in one place via the "Model Management" page in the Web Console, with no need to manually edit the configuration file.
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</Tip>
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## Text Chat
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```json
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{
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"model": "claude-sonnet-4-6",
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@@ -12,6 +20,30 @@ description: Claude model configuration
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| Parameter | Description |
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| --- | --- |
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| `model` | Options include `claude-sonnet-4-6`, `claude-opus-4-7`, `claude-opus-4-6`, `claude-sonnet-4-5`, `claude-sonnet-4-0`, `claude-3-5-sonnet-latest`, etc. See [official models](https://docs.anthropic.com/en/docs/about-claude/models/overview) |
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| `claude_api_key` | Create at [Claude Console](https://console.anthropic.com/settings/keys) |
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| `claude_api_base` | Optional. Defaults to `https://api.anthropic.com/v1`. Change to use third-party proxy |
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| `model` | Supports `claude-sonnet-4-6`, `claude-opus-4-7`, `claude-opus-4-6`, `claude-sonnet-4-5`, `claude-sonnet-4-0`, `claude-3-5-sonnet-latest`, etc. See [official models](https://docs.anthropic.com/en/docs/about-claude/models/overview) |
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| `claude_api_key` | Create one in the [Claude Console](https://console.anthropic.com/settings/keys) |
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| `claude_api_base` | Optional, defaults to `https://api.anthropic.com/v1`. Can be changed to a third-party proxy |
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### Model Selection
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| Model | Use Case |
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| --- | --- |
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| `claude-sonnet-4-6` | Default recommended, balanced cost and speed |
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| `claude-opus-4-7` | Complex reasoning and long-running tasks; best quality but higher cost |
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| `claude-sonnet-4-5` / `claude-sonnet-4-0` | Previous-generation flagships at a lower price |
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## Image Understanding
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Once `claude_api_key` is configured, the Agent's Vision tool automatically uses the Claude main model to recognize images, with no extra setup required.
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To manually specify a Vision model, set it explicitly in the configuration file:
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```json
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{
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"tools": {
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"vision": {
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"model": "claude-sonnet-4-6"
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}
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}
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}
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```
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@@ -1,26 +1,26 @@
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---
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title: Custom
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description: Custom provider for third-party APIs and local models
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description: Custom vendor configuration for third-party API proxies and local models
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---
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For models accessed via OpenAI-compatible APIs, such as:
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For model services accessed via the OpenAI-compatible protocol or locally deployed models, such as:
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- **Third-party API proxies**: Use a unified API Base to call multiple models
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- **Local models**: Models deployed locally via Ollama, vLLM, LocalAI, etc.
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- **Private deployments**: Self-hosted model services within your organization
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- **Third-party API proxies**: call multiple models through a unified API base
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- **Local models**: models deployed locally with tools like Ollama, vLLM, LocalAI
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- **Private deployments**: model services deployed inside an enterprise
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<Note>
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Unlike the `openai` provider, switching models under the Custom provider will not auto-switch the provider type. Your custom API address is always preserved.
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Difference from the `openai` vendor: when a custom vendor is selected, switching models via `/config model` does not automatically switch the vendor type — the custom API address is always used.
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</Note>
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## Configuration
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## Text Chat
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### Third-party API Proxy
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### Third-party API proxy
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```json
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{
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"bot_type": "custom",
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"model": "deepseek-v4-flash",
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"model": "",
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"custom_api_key": "YOUR_API_KEY",
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"custom_api_base": "https://{your-proxy.com}/v1"
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}
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@@ -29,13 +29,13 @@ For models accessed via OpenAI-compatible APIs, such as:
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| Parameter | Description |
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| --- | --- |
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| `bot_type` | Must be set to `custom` |
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| `model` | Model name, any model supported by your proxy service |
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| `custom_api_key` | API key provided by your proxy service |
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| `custom_api_base` | API base URL, must be OpenAI-compatible |
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| `model` | Model name; any model name supported by the proxy service |
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| `custom_api_key` | API key provided by the proxy service |
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| `custom_api_base` | API endpoint provided by the proxy service; must be OpenAI-compatible |
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### Local Models
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### Local models
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Local models typically don't require an API key — just set the API base:
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Local models usually do not require an API key — only the API base needs to be filled in:
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```json
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{
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@@ -45,7 +45,7 @@ Local models typically don't require an API key — just set the API base:
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}
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```
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Common local deployment tools and their default addresses:
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Common local deployment tools and their default endpoints:
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| Tool | Default API Base |
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| --- | --- |
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@@ -53,9 +53,9 @@ Common local deployment tools and their default addresses:
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| [vLLM](https://docs.vllm.ai) | `http://localhost:8000/v1` |
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| [LocalAI](https://localai.io) | `http://localhost:8080/v1` |
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## Switching Models
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### Switching Models
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Under the Custom provider, switching models only changes `model` without affecting `bot_type` or the API address:
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Switching models under a custom vendor only changes `model` — `bot_type` and the API endpoint remain unchanged:
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```
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/config model qwen3.5:27b
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@@ -1,9 +1,11 @@
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---
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title: DeepSeek
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description: DeepSeek model configuration
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description: DeepSeek model configuration (Text Chat + Thinking Mode)
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---
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Option 1: Native integration (recommended):
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DeepSeek is one of the default recommended vendors in Agent mode, focused on cost-effective text chat and task planning.
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## Text Chat
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```json
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{
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@@ -14,24 +16,24 @@ Option 1: Native integration (recommended):
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| Parameter | Description |
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| --- | --- |
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| `model` | Supports `deepseek-v4-flash` (default) and `deepseek-v4-pro` |
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| `deepseek_api_key` | Create at [DeepSeek Platform](https://platform.deepseek.com/api_keys) |
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| `model` | Supports `deepseek-v4-flash` (Default), `deepseek-v4-pro` |
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| `deepseek_api_key` | Create one on the [DeepSeek Platform](https://platform.deepseek.com/api_keys) |
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| `deepseek_api_base` | Optional, defaults to `https://api.deepseek.com/v1`. Can be changed to a third-party proxy |
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## Model Selection
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### Model Selection
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| Model | Use Case |
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| --- | --- |
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| `deepseek-v4-flash` | Default: fast and cost-effective |
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| `deepseek-v4-pro` | Stronger on complex tasks |
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| `deepseek-v4-flash` | Default recommended; fast and low cost |
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| `deepseek-v4-pro` | Smarter; better for complex tasks |
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## Thinking Mode
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The V4 series (`deepseek-v4-flash` / `deepseek-v4-pro`) supports an explicit "thinking mode": the model emits a chain-of-thought (`reasoning_content`) before the final answer to improve answer quality.
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The V4 series (`deepseek-v4-flash` / `deepseek-v4-pro`) supports an explicit "thinking mode": before producing the final answer, the model emits a chain of thought (`reasoning_content`) to improve answer quality.
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### Toggle
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Controlled by the global `enable_thinking` setting:
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Controlled by the global `enable_thinking` config, and can also be toggled from the Web Console's configuration page:
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```json
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{
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@@ -39,12 +41,12 @@ Controlled by the global `enable_thinking` setting:
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}
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```
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- `true`: thinking is on across all channels. The Web console renders the reasoning trace; IM channels (WeChat / WeCom / DingTalk / Feishu) don't render it but still benefit from higher answer quality.
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- `false`: thinking off, faster responses with lower first-token latency.
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- `true`: the model thinks before answering across all channels. The Web Console displays the thinking process; IM channels (WeChat / WeCom / DingTalk / Feishu) do not show it but still get better answers.
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- `false`: thinking is disabled, responses are faster, and time-to-first-token is lower.
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### Reasoning Effort
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Under thinking mode, `reasoning_effort` controls how hard the model thinks:
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Under thinking mode, `reasoning_effort` controls reasoning intensity:
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```json
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{
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@@ -55,27 +57,16 @@ Under thinking mode, `reasoning_effort` controls how hard the model thinks:
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| Value | Use Case |
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| --- | --- |
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| `high` (default) | Day-to-day agent tasks; balanced thinking depth and latency |
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| `max` | Complex coding, long-horizon planning, strict-constraint tasks. Deeper reasoning at the cost of more output tokens and higher latency |
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| `high` (Default) | Day-to-day Agent tasks; balanced reasoning and speed |
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| `max` | Complex coding, long-horizon planning, strictly constrained tasks; deeper reasoning but more time and output tokens |
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`reasoning_effort` only takes effect when `enable_thinking` is `true`. It is silently ignored on models that do not support thinking mode.
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`reasoning_effort` only takes effect when `enable_thinking` is `true`; it is ignored automatically when the model does not support thinking mode.
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### Notes
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### Behavior Notes
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- **Sampling parameters**: under thinking mode, `temperature`, `top_p`, `presence_penalty`, and `frequency_penalty` are silently ignored by the server (no error). CowAgent skips sending them automatically.
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- **Multi-turn tool calls**: once the history contains any tool-call turn, DeepSeek requires `reasoning_content` on every assistant message. CowAgent handles the round-trip automatically, including across mid-session toggles of the thinking switch.
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- **Sampling parameters**: in thinking mode, `temperature`, `top_p`, `presence_penalty`, and `frequency_penalty` are ignored by the server (without errors). CowAgent automatically skips them.
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- **Multi-turn tool calls**: when the history contains tool calls, DeepSeek requires every assistant message to include `reasoning_content`. CowAgent handles this automatically, so toggling thinking mode across turns will not cause errors.
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<Tip>
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Start with `deepseek-v4-flash`; switch to `deepseek-v4-pro` for harder tasks; enable `enable_thinking` when you want deeper reasoning.
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`deepseek-v4-flash` is used by default; switch to `deepseek-v4-pro` for complex tasks; enable `enable_thinking` when deep reasoning is needed.
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</Tip>
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Option 2: OpenAI-compatible configuration:
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```json
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{
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"model": "deepseek-v4-flash",
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"bot_type": "openai",
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"open_ai_api_key": "YOUR_API_KEY",
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"open_ai_api_base": "https://api.deepseek.com/v1"
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}
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```
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@@ -1,17 +1,66 @@
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---
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title: Doubao (ByteDance)
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description: Doubao (Volcano Ark) model configuration
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title: Doubao
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description: Doubao (Volcengine Ark) model configuration (Text / Image Understanding / Image Generation / Embedding)
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---
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Doubao (Volcengine Ark) supports text chat, image understanding, image generation (Seedream), and embedding. A single `ark_api_key` enables all capabilities.
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<Tip>
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All capabilities below can be configured in one place via the "Model Management" page in the Web Console, with no need to manually edit the configuration file.
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</Tip>
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## Text Chat
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```json
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{
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"model": "doubao-seed-2-0-code-preview-260215",
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"model": "doubao-seed-2-0-pro-260215",
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"ark_api_key": "YOUR_API_KEY"
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}
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```
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| Parameter | Description |
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| --- | --- |
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| `model` | Options include `doubao-seed-2-0-code-preview-260215`, `doubao-seed-2-0-pro-260215`, `doubao-seed-2-0-lite-260215`, etc. |
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| `ark_api_key` | Create at [Volcano Ark Console](https://console.volcengine.com/ark/region:ark+cn-beijing/apikey) |
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| `ark_base_url` | Optional. Defaults to `https://ark.cn-beijing.volces.com/api/v3` |
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| `model` | Can be `doubao-seed-2-0-pro-260215`, `doubao-seed-2-0-code-preview-260215`, `doubao-seed-2-0-lite-260215`, etc. |
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| `ark_api_key` | Create one in the [Volcengine Ark Console](https://console.volcengine.com/ark/region:ark+cn-beijing/apikey) |
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| `ark_base_url` | Optional, defaults to `https://ark.cn-beijing.volces.com/api/v3` |
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## Image Understanding
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Once `ark_api_key` is configured, the Agent's Vision tool automatically uses `doubao-seed-2-0-pro-260215` to recognize images, with no extra setup required.
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To manually specify a Vision model:
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```json
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{
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"tools": {
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"vision": {
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"model": "doubao-seed-2-0-pro-260215"
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}
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}
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}
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```
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## Image Generation
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```json
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{
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"skills": {
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"image-generation": {
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"model": "seedream-5.0-lite"
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}
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}
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}
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```
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Available models: `seedream-5.0-lite`, `seedream-4.5`.
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## Embedding
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```json
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{
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"embedding_provider": "doubao",
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"embedding_model": "doubao-embedding-vision-251215"
|
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}
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```
|
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The default model is `doubao-embedding-vision-251215` (multimodal embedding); the dimension (1024 or 2048) can be set via `embedding_dimensions` in the configuration file. After changing the embedding, run `/memory rebuild-index` to rebuild the index.
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@@ -1,16 +1,59 @@
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---
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title: Gemini
|
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description: Google Gemini model configuration
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description: Google Gemini model configuration (Text Chat + Image Understanding + Image Generation)
|
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---
|
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|
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Google Gemini supports text chat, image understanding, and image generation (Nano Banana series). A single `gemini_api_key` enables all capabilities.
|
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|
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<Tip>
|
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All capabilities below can be configured in one place via the "Model Management" page in the Web Console, with no need to manually edit the configuration file.
|
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</Tip>
|
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|
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## Text Chat
|
||||
|
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```json
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{
|
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"model": "gemini-3.1-pro-preview",
|
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"model": "gemini-3.5-flash",
|
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"gemini_api_key": "YOUR_API_KEY"
|
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}
|
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```
|
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|
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| Parameter | Description |
|
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| --- | --- |
|
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| `model` | Options include `gemini-3.1-flash-lite-preview`, `gemini-3.1-pro-preview`, `gemini-3-flash-preview`, `gemini-3-pro-preview`, etc. See [official docs](https://ai.google.dev/gemini-api/docs/models) |
|
||||
| `gemini_api_key` | Create at [Google AI Studio](https://aistudio.google.com/app/apikey) |
|
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| `model` | Recommended: `gemini-3.5-flash`; also supports `gemini-3.1-pro-preview`, `gemini-3.1-flash-lite-preview`, `gemini-3-flash-preview`, `gemini-3-pro-preview`, etc. See [official docs](https://ai.google.dev/gemini-api/docs/models) |
|
||||
| `gemini_api_key` | Create one in [Google AI Studio](https://aistudio.google.com/app/apikey) |
|
||||
| `gemini_api_base` | Optional, defaults to `https://generativelanguage.googleapis.com`. Can be changed to a third-party proxy |
|
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|
||||
## Image Understanding
|
||||
|
||||
All Gemini models natively support vision. Once `gemini_api_key` is configured, the Agent's Vision tool automatically uses the main model to recognize images, with no extra setup required.
|
||||
|
||||
To manually specify a Vision model:
|
||||
|
||||
```json
|
||||
{
|
||||
"tools": {
|
||||
"vision": {
|
||||
"model": "gemini-3.1-flash-lite-preview"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Image Generation
|
||||
|
||||
```json
|
||||
{
|
||||
"skills": {
|
||||
"image-generation": {
|
||||
"model": "gemini-3.1-flash-image-preview"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
| Model ID | Alias |
|
||||
| --- | --- |
|
||||
| `gemini-3.1-flash-image-preview` | Nano Banana 2 |
|
||||
| `gemini-3-pro-image-preview` | Nano Banana Pro |
|
||||
| `gemini-2.5-flash-image` | Nano Banana |
|
||||
|
||||
@@ -1,8 +1,16 @@
|
||||
---
|
||||
title: GLM (Zhipu AI)
|
||||
description: Zhipu AI GLM model configuration
|
||||
title: Zhipu GLM
|
||||
description: Zhipu AI GLM model configuration (Text / Image Understanding / Speech-to-Text / Embedding)
|
||||
---
|
||||
|
||||
Zhipu AI supports text chat, image understanding, speech-to-text (ASR), and embedding. A single `zhipu_ai_api_key` enables all capabilities.
|
||||
|
||||
<Tip>
|
||||
All capabilities below can be configured in one place via the "Model Management" page in the Web Console, with no need to manually edit the configuration file.
|
||||
</Tip>
|
||||
|
||||
## Text Chat
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "glm-5.1",
|
||||
@@ -12,16 +20,37 @@ description: Zhipu AI GLM model configuration
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `model` | Options include `glm-5.1`, `glm-5-turbo`, `glm-5`, `glm-4.7`, `glm-4-plus`, `glm-4-flash`, `glm-4-air`, etc. See [model codes](https://bigmodel.cn/dev/api/normal-model/glm-4) |
|
||||
| `zhipu_ai_api_key` | Create at [Zhipu AI Console](https://www.bigmodel.cn/usercenter/proj-mgmt/apikeys) |
|
||||
| `model` | Can be `glm-5.1`, `glm-5-turbo`, `glm-5`, `glm-4.7`, `glm-4-plus`, `glm-4-flash`, `glm-4-air`, etc. See [model codes](https://bigmodel.cn/dev/api/normal-model/glm-4) |
|
||||
| `zhipu_ai_api_key` | Create one in the [Zhipu AI Console](https://www.bigmodel.cn/usercenter/proj-mgmt/apikeys) |
|
||||
| `zhipu_ai_api_base` | Optional, defaults to `https://open.bigmodel.cn/api/paas/v4` |
|
||||
|
||||
OpenAI-compatible configuration is also supported:
|
||||
## Image Understanding
|
||||
|
||||
Zhipu's chat models (`glm-5.1`, `glm-5-turbo`, etc.) do not support vision; vision calls are uniformly routed to `glm-5v-turbo`. Once `zhipu_ai_api_key` is configured, the Agent's Vision tool automatically uses this model, with no need to specify it explicitly in the configuration file.
|
||||
|
||||
## Speech-to-Text (ASR)
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "glm-5.1",
|
||||
"open_ai_api_base": "https://open.bigmodel.cn/api/paas/v4",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
"voice_to_text": "zhipu",
|
||||
"voice_to_text_model": "glm-asr-2512"
|
||||
}
|
||||
```
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `voice_to_text` | Set to `zhipu` to enable Zhipu ASR |
|
||||
| `voice_to_text_model` | Optional, defaults to `glm-asr-2512` |
|
||||
|
||||
Credentials are automatically reused from `zhipu_ai_api_key`. Audio files should be smaller than 25MB; oversized files may be rejected by the server.
|
||||
|
||||
## Embedding
|
||||
|
||||
```json
|
||||
{
|
||||
"embedding_provider": "zhipu",
|
||||
"embedding_model": "embedding-3"
|
||||
}
|
||||
```
|
||||
|
||||
Available models: `embedding-3`, `embedding-2`. After changing the embedding, run `/memory rebuild-index` to rebuild the index.
|
||||
|
||||
@@ -1,58 +1,45 @@
|
||||
---
|
||||
title: Models Overview
|
||||
description: Supported models and recommended choices for CowAgent
|
||||
description: Model vendors supported by CowAgent and their capability matrix
|
||||
---
|
||||
|
||||
CowAgent supports mainstream LLMs from domestic and international providers. Model interfaces are implemented in the project's `models/` directory.
|
||||
CowAgent supports mainstream large language models from both Chinese and overseas vendors. Model interfaces are implemented under the project's `models/` directory. In addition to text chat, some vendors also provide vision understanding, image generation, speech-to-text, text-to-speech, and embedding capabilities, which can be invoked on demand in the Agent flow.
|
||||
|
||||
<Note>
|
||||
For Agent mode, the following models are recommended based on quality and cost: deepseek-v4-flash, MiniMax-M2.7, claude-sonnet-4-6, gemini-3.1-pro-preview, glm-5.1, qwen3.6-plus, kimi-k2.6, ernie-5.1
|
||||
The following models are recommended in Agent mode; choose based on quality and cost: deepseek-v4-flash, MiniMax-M2.7, claude-sonnet-4-6, gemini-3.5-flash, glm-5.1, qwen3.6-plus, kimi-k2.6, ernie-5.1.
|
||||
|
||||
[LinkAI](https://link-ai.tech) is also supported, letting you switch between multiple vendors with a single key while gaining knowledge bases, workflows, and plugins.
|
||||
</Note>
|
||||
|
||||
## Configuration
|
||||
|
||||
Configure the model name and API key in `config.json` according to your chosen model. Each model also supports OpenAI-compatible access by setting `bot_type` to `openai` and configuring `open_ai_api_base` and `open_ai_api_key`.
|
||||
## Capability Matrix
|
||||
|
||||
You can also use the [LinkAI](https://link-ai.tech) platform interface to flexibly switch between multiple models with support for knowledge base, workflows, and other Agent capabilities.
|
||||
A snapshot of each vendor's capabilities. "Text" refers to the main chat model; the remaining columns indicate which Agent capabilities the vendor can handle.
|
||||
|
||||
## Supported Models
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="DeepSeek" href="/en/models/deepseek">
|
||||
deepseek-v4-flash, deepseek-v4-pro, and more
|
||||
</Card>
|
||||
<Card title="Baidu Qianfan / ERNIE" href="/en/models/qianfan">
|
||||
ernie-5.1, ernie-5.0, ernie-4.5-turbo-128k, and more
|
||||
</Card>
|
||||
<Card title="MiniMax" href="/en/models/minimax">
|
||||
MiniMax-M2.7 and other series models
|
||||
</Card>
|
||||
<Card title="Claude" href="/en/models/claude">
|
||||
claude-sonnet-4-6 and more
|
||||
</Card>
|
||||
<Card title="Gemini" href="/en/models/gemini">
|
||||
gemini-3.1-pro-preview and more
|
||||
</Card>
|
||||
<Card title="OpenAI" href="/en/models/openai">
|
||||
gpt-5.4, gpt-4.1, o-series and more
|
||||
</Card>
|
||||
<Card title="GLM (Zhipu AI)" href="/en/models/glm">
|
||||
glm-5.1, glm-5-turbo, glm-5 and other series models
|
||||
</Card>
|
||||
<Card title="Qwen (Tongyi Qianwen)" href="/en/models/qwen">
|
||||
qwen3.6-plus, qwen3-max and more
|
||||
</Card>
|
||||
<Card title="Doubao (ByteDance)" href="/en/models/doubao">
|
||||
doubao-seed series models
|
||||
</Card>
|
||||
<Card title="Kimi" href="/en/models/kimi">
|
||||
kimi-k2.6, kimi-k2.5, kimi-k2 and more
|
||||
</Card>
|
||||
<Card title="LinkAI" href="/en/models/linkai">
|
||||
Unified multi-model interface + knowledge base
|
||||
</Card>
|
||||
</CardGroup>
|
||||
| Vendor | Representative Models | Text | Image Understanding | Image Generation | Speech-to-Text | Text-to-Speech | Embedding |
|
||||
| --- | --- | :-: | :-: | :-: | :-: | :-: | :-: |
|
||||
| [DeepSeek](/models/deepseek) | deepseek-v4-flash / pro | ✅ | | | | | |
|
||||
| [MiniMax](/models/minimax) | MiniMax-M2.7 | ✅ | ✅ | ✅ | | ✅ | |
|
||||
| [Claude](/models/claude) | claude-opus-4-7 | ✅ | ✅ | | | | |
|
||||
| [Gemini](/models/gemini) | gemini-3.5-flash | ✅ | ✅ | ✅ | | | |
|
||||
| [OpenAI](/models/openai) | gpt-5.5, o-series | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| [Zhipu GLM](/models/glm) | glm-5.1, glm-5v-turbo | ✅ | ✅ | | ✅ | | ✅ |
|
||||
| [Tongyi Qwen](/models/qwen) | qwen3.7-max | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| [Doubao](/models/doubao) | doubao-seed-2.0 series | ✅ | ✅ | ✅ | | | ✅ |
|
||||
| [Kimi](/models/kimi) | kimi-k2.6 | ✅ | ✅ | | | | |
|
||||
| [Baidu Qianfan](/models/qianfan) | ernie-5.1 | ✅ | ✅ | | | | |
|
||||
| [LinkAI](/models/linkai) | 100+ models from multiple vendors | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| [Custom](/models/custom) | Local models / third-party proxies | ✅ | | | | | |
|
||||
|
||||
<Tip>
|
||||
For a full list of model names, refer to the project's [`common/const.py`](https://github.com/zhayujie/CowAgent/blob/master/common/const.py) file.
|
||||
Every capability in the Web Console (Vision / Image / Speech-to-Text / Text-to-Speech / Embedding / Web Search) can be configured independently with its own vendor and model; they are not forced to be bound together.
|
||||
</Tip>
|
||||
|
||||
|
||||
## How to Configure
|
||||
|
||||
**Option 1 (recommended):** Manage models and capabilities online via the [Web Console](/channels/web), with no need to edit the configuration file:
|
||||
|
||||
<img width="900" src="https://cdn.link-ai.tech/doc/20260521212527.png" />
|
||||
|
||||
**Option 2:** Manually edit `config.json` and fill in the model name and API key according to the selected model. Every model also supports OpenAI-compatible access: set `bot_type` to `openai` and configure `open_ai_api_base` and `open_ai_api_key`.
|
||||
|
||||
@@ -1,8 +1,16 @@
|
||||
---
|
||||
title: Kimi (Moonshot)
|
||||
description: Kimi (Moonshot) model configuration
|
||||
title: Kimi
|
||||
description: Kimi (Moonshot) model configuration (Text Chat + Image Understanding)
|
||||
---
|
||||
|
||||
Kimi is provided by Moonshot and supports both text chat and image understanding. The `kimi-k2.x` series natively supports vision.
|
||||
|
||||
<Tip>
|
||||
All capabilities below can be configured in one place via the "Model Management" page in the Web Console, with no need to manually edit the configuration file.
|
||||
</Tip>
|
||||
|
||||
## Text Chat
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "kimi-k2.6",
|
||||
@@ -12,16 +20,22 @@ description: Kimi (Moonshot) model configuration
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `model` | Options include `kimi-k2.6`, `kimi-k2.5`, `kimi-k2`, `moonshot-v1-8k`, `moonshot-v1-32k`, `moonshot-v1-128k` |
|
||||
| `moonshot_api_key` | Create at [Moonshot Console](https://platform.moonshot.cn/console/api-keys) |
|
||||
| `model` | Can be `kimi-k2.6`, `kimi-k2.5`, `kimi-k2`, `moonshot-v1-8k`, `moonshot-v1-32k`, `moonshot-v1-128k` |
|
||||
| `moonshot_api_key` | Create one in the [Moonshot Console](https://platform.moonshot.cn/console/api-keys) |
|
||||
| `moonshot_base_url` | Optional, defaults to `https://api.moonshot.cn/v1` |
|
||||
|
||||
OpenAI-compatible configuration is also supported:
|
||||
## Image Understanding
|
||||
|
||||
Once `moonshot_api_key` is configured, the Agent's Vision tool automatically uses `kimi-k2.6` to recognize images, with no extra setup required.
|
||||
|
||||
To manually specify a Vision model:
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "kimi-k2.6",
|
||||
"open_ai_api_base": "https://api.moonshot.cn/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
"tools": {
|
||||
"vision": {
|
||||
"model": "kimi-k2.6"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
@@ -1,9 +1,15 @@
|
||||
---
|
||||
title: LinkAI
|
||||
description: Unified access to multiple models via LinkAI platform
|
||||
description: Access text, vision, image, speech, and embedding capabilities through the LinkAI platform
|
||||
---
|
||||
|
||||
The [LinkAI](https://link-ai.tech) platform lets you flexibly switch between OpenAI, Claude, Gemini, DeepSeek, MiniMax, Qwen, Kimi, and other models, with support for knowledge base, workflows, plugins, and other Agent capabilities.
|
||||
A single `linkai_api_key` gives you access to all capabilities of mainstream vendors such as OpenAI, Claude, Gemini, DeepSeek, MiniMax, Qwen, Kimi, and Doubao.
|
||||
|
||||
<Tip>
|
||||
All capabilities below can be configured in one place via the "Model Management" page in the Web Console, with no need to manually edit the configuration file.
|
||||
</Tip>
|
||||
|
||||
## Text Chat
|
||||
|
||||
```json
|
||||
{
|
||||
@@ -14,8 +20,84 @@ The [LinkAI](https://link-ai.tech) platform lets you flexibly switch between Ope
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `use_linkai` | Set to `true` to enable LinkAI interface |
|
||||
| `linkai_api_key` | Create at [LinkAI Console](https://link-ai.tech/console/interface) |
|
||||
| `model` | Leave empty to use the agent's default model. Can be switched flexibly on the platform. All models in the [model list](https://link-ai.tech/console/models) are supported |
|
||||
| `use_linkai` | Set to `true` to enable |
|
||||
| `linkai_api_key` | Create one in the [Console](https://link-ai.tech/console/interface) |
|
||||
| `model` | Can be any code from the [model list](https://link-ai.tech/console/models) |
|
||||
|
||||
See the [API documentation](https://docs.link-ai.tech/platform/api) for more details.
|
||||
See [Model Service](https://link-ai.tech/console/models) for more.
|
||||
|
||||
## Image Understanding
|
||||
|
||||
Once configured, the Agent's Vision tool automatically calls multimodal models via the gateway, with no extra setup required. To manually specify a Vision model:
|
||||
|
||||
```json
|
||||
{
|
||||
"tools": {
|
||||
"vision": {
|
||||
"model": "gpt-5.4-mini"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Available models: `gpt-4.1-mini`, `gpt-5.4-mini`, `qwen3.6-plus`, `doubao-seed-2-0-pro-260215`, `kimi-k2.6`, `claude-sonnet-4-6`, `gemini-3.1-flash-lite-preview`, etc.
|
||||
|
||||
## Image Generation
|
||||
|
||||
```json
|
||||
{
|
||||
"skills": {
|
||||
"image-generation": {
|
||||
"model": "gpt-image-2"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
| Model ID | Alias |
|
||||
| --- | --- |
|
||||
| `gpt-image-2` | OpenAI |
|
||||
| `gemini-3.1-flash-image-preview` | Nano Banana 2 |
|
||||
| `gemini-3-pro-image-preview` | Nano Banana Pro |
|
||||
| `seedream-5.0-lite` | ByteDance Doubao Seedream |
|
||||
|
||||
## Speech-to-Text (ASR)
|
||||
|
||||
```json
|
||||
{
|
||||
"voice_to_text": "linkai"
|
||||
}
|
||||
```
|
||||
|
||||
ASR uses Whisper by default; credentials are automatically reused from `linkai_api_key`.
|
||||
|
||||
## Text-to-Speech (TTS)
|
||||
|
||||
The TTS gateway supports multiple underlying engines. The engine is selected by `text_to_voice_model`, and the available voices change with the engine.
|
||||
|
||||
```json
|
||||
{
|
||||
"text_to_voice": "linkai",
|
||||
"text_to_voice_model": "doubao",
|
||||
"tts_voice_id": "BV001_streaming"
|
||||
}
|
||||
```
|
||||
|
||||
| `text_to_voice_model` | Engine |
|
||||
| --- | --- |
|
||||
| `tts-1` | OpenAI · Multi-language (voices like `alloy` / `nova` / `echo`, etc.) |
|
||||
| `doubao` | ByteDance Doubao · Rich Chinese voices |
|
||||
| `baidu` | Baidu · Chinese broadcaster voices |
|
||||
|
||||
Voices differ by engine; we recommend selecting them visually in the Web Console under "Model Management → Text-to-Speech".
|
||||
|
||||
## Embedding
|
||||
|
||||
```json
|
||||
{
|
||||
"embedding_provider": "linkai",
|
||||
"embedding_model": "text-embedding-3-small"
|
||||
}
|
||||
```
|
||||
|
||||
The default model is `text-embedding-3-small` (OpenAI-compatible). After changing the embedding, run `/memory rebuild-index` to rebuild the index.
|
||||
|
||||
@@ -1,8 +1,16 @@
|
||||
---
|
||||
title: MiniMax
|
||||
description: MiniMax model configuration
|
||||
description: MiniMax model configuration (Text / Image Understanding / Image Generation / Text-to-Speech)
|
||||
---
|
||||
|
||||
MiniMax supports text chat, image understanding, image generation, and text-to-speech. A single `minimax_api_key` enables all capabilities.
|
||||
|
||||
<Tip>
|
||||
All capabilities below can be configured in one place via the "Model Management" page in the Web Console, with no need to manually edit the configuration file.
|
||||
</Tip>
|
||||
|
||||
## Text Chat
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "MiniMax-M2.7",
|
||||
@@ -12,16 +20,52 @@ description: MiniMax model configuration
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `model` | Options include `MiniMax-M2.7`, `MiniMax-M2.5`, `MiniMax-M2.1`, `MiniMax-M2.1-lightning`, `MiniMax-M2`, etc. |
|
||||
| `minimax_api_key` | Create at [MiniMax Console](https://platform.minimaxi.com/user-center/basic-information/interface-key) |
|
||||
| `model` | Can be `MiniMax-M2.7`, `MiniMax-M2.7-highspeed`, `MiniMax-M2.5`, `MiniMax-M2.1`, `MiniMax-M2.1-lightning`, `MiniMax-M2`, etc. |
|
||||
| `minimax_api_key` | Create one in the [MiniMax Console](https://platform.minimaxi.com/user-center/basic-information/interface-key) |
|
||||
|
||||
OpenAI-compatible configuration is also supported:
|
||||
## Image Understanding
|
||||
|
||||
MiniMax's M2.x chat models do not support vision natively; vision calls are uniformly routed to `MiniMax-Text-01`. Once `minimax_api_key` is configured, the Agent's Vision tool automatically uses this model, with no need to specify it explicitly in the configuration file.
|
||||
|
||||
## Image Generation
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "MiniMax-M2.7",
|
||||
"open_ai_api_base": "https://api.minimaxi.com/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
"skills": {
|
||||
"image-generation": {
|
||||
"model": "image-01"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Available models: `image-01`.
|
||||
|
||||
## Text-to-Speech (TTS)
|
||||
|
||||
```json
|
||||
{
|
||||
"text_to_voice": "minimax",
|
||||
"text_to_voice_model": "speech-2.8-hd",
|
||||
"tts_voice_id": "female-shaonv"
|
||||
}
|
||||
```
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `text_to_voice_model` | `speech-2.8-hd` (emotional rendering, natural sound), `speech-2.8-turbo` (ultra-fast), `speech-2.6-hd`, `speech-2.6-turbo` |
|
||||
| `tts_voice_id` | Voice ID; supports Chinese / Cantonese / English / Japanese / Korean — 70+ voices in total |
|
||||
|
||||
Common voice examples:
|
||||
|
||||
| Voice ID | Description |
|
||||
| --- | --- |
|
||||
| `female-shaonv` | Chinese · Young Girl (Female) |
|
||||
| `female-yujie` | Chinese · Mature Lady (Female) |
|
||||
| `female-tianmei` | Chinese · Sweet Female (Female) |
|
||||
| `male-qn-jingying` | Chinese · Elite Youth (Male) |
|
||||
| `male-qn-badao` | Chinese · Dominant Youth (Male) |
|
||||
| `Cantonese_GentleLady` | Cantonese · Gentle Female Voice |
|
||||
| `English_Graceful_Lady` | English · Graceful Lady |
|
||||
|
||||
For the full voice list (70+ voices across Chinese / Cantonese / English / Japanese / Korean), see the [system voice list](https://platform.minimaxi.com/docs/faq/system-voice-id), or select visually in the Web Console under "Model Management → Text-to-Speech".
|
||||
|
||||
@@ -1,11 +1,20 @@
|
||||
---
|
||||
title: OpenAI
|
||||
description: OpenAI model configuration
|
||||
description: OpenAI model configuration (Text / Vision / Image / Speech / Embedding)
|
||||
---
|
||||
|
||||
OpenAI offers the most complete coverage and can simultaneously serve text chat, vision understanding, image generation, speech-to-text (ASR), text-to-speech (TTS), and embedding. A single `open_ai_api_key` lets the Agent use all of these capabilities.
|
||||
|
||||
<Tip>
|
||||
All capabilities below can be configured in one place via the "Model Management" page in the Web Console, with no need to manually edit the configuration file.
|
||||
</Tip>
|
||||
|
||||
|
||||
## Text Chat
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "gpt-5.4",
|
||||
"model": "gpt-5.5",
|
||||
"open_ai_api_key": "YOUR_API_KEY",
|
||||
"open_ai_api_base": "https://api.openai.com/v1"
|
||||
}
|
||||
@@ -13,7 +22,82 @@ description: OpenAI model configuration
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `model` | Matches the [model parameter](https://platform.openai.com/docs/models) of the OpenAI API. Supports o-series, gpt-5.4, gpt-5 series, gpt-4.1, etc. Recommended for Agent mode: `gpt-5.4` |
|
||||
| `open_ai_api_key` | Create at [OpenAI Platform](https://platform.openai.com/api-keys) |
|
||||
| `open_ai_api_base` | Optional. Change to use third-party proxy |
|
||||
| `bot_type` | Not required for official OpenAI models. Set to `openai` when using Claude or other non-OpenAI models via proxy |
|
||||
| `model` | Same as OpenAI's [model parameter](https://platform.openai.com/docs/models); supports `gpt-5.5`, `gpt-5.4`, `gpt-5.4-mini`, `gpt-5.4-nano`, the `gpt-5` series, `gpt-4.1`, the o-series, etc. Agent mode defaults to `gpt-5.5`; use `gpt-5.4` for better cost-efficiency |
|
||||
| `open_ai_api_key` | Create one on the [OpenAI Platform](https://platform.openai.com/api-keys) |
|
||||
| `open_ai_api_base` | Optional; change it to access a third-party proxy |
|
||||
| `bot_type` | Not required when using OpenAI's official models; set to `openai` when accessing other vendors via the compatible protocol |
|
||||
|
||||
## Image Understanding
|
||||
|
||||
OpenAI models like `gpt-5.5`, `gpt-5.4`, `gpt-4o`, and `gpt-4.1` natively support vision. Once `open_ai_api_key` is configured, the Agent's Vision tool automatically uses the main model to recognize images. If the main model does not support vision or you want to specify it explicitly, set it in the configuration file:
|
||||
|
||||
```json
|
||||
{
|
||||
"tools": {
|
||||
"vision": {
|
||||
"model": "gpt-5.4-mini"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Supported Vision models: `gpt-5.5`, `gpt-5.4`, `gpt-5.4-mini`, `gpt-5.4-nano`, `gpt-5`, `gpt-4.1`, `gpt-4.1-mini`, `gpt-4o`.
|
||||
|
||||
## Image Generation
|
||||
|
||||
Specify the image generation model in the configuration file; the Agent automatically routes image generation skill calls to OpenAI:
|
||||
|
||||
```json
|
||||
{
|
||||
"skills": {
|
||||
"image-generation": {
|
||||
"model": "gpt-image-2"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Supported image generation models: `gpt-image-2`, `gpt-image-1`.
|
||||
|
||||
## Speech-to-Text (ASR)
|
||||
|
||||
```json
|
||||
{
|
||||
"voice_to_text": "openai",
|
||||
"voice_to_text_model": "gpt-4o-mini-transcribe"
|
||||
}
|
||||
```
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `voice_to_text` | Set to `openai` to enable OpenAI speech-to-text |
|
||||
| `voice_to_text_model` | Optional, defaults to `gpt-4o-mini-transcribe`; can also be `gpt-4o-transcribe`, `whisper-1` |
|
||||
|
||||
Credentials are automatically reused from `open_ai_api_key`.
|
||||
|
||||
## Text-to-Speech (TTS)
|
||||
|
||||
```json
|
||||
{
|
||||
"text_to_voice": "openai",
|
||||
"text_to_voice_model": "tts-1",
|
||||
"tts_voice_id": "alloy"
|
||||
}
|
||||
```
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `text_to_voice_model` | `tts-1`, `tts-1-hd`, `gpt-4o-mini-tts` |
|
||||
| `tts_voice_id` | Voices: `alloy`, `echo`, `fable`, `onyx`, `nova`, `shimmer`, `ash`, `ballad`, `coral`, `sage`, `verse` |
|
||||
|
||||
## Embedding
|
||||
|
||||
```json
|
||||
{
|
||||
"embedding_provider": "openai",
|
||||
"embedding_model": "text-embedding-3-small"
|
||||
}
|
||||
```
|
||||
|
||||
Available models: `text-embedding-3-small`, `text-embedding-3-large`, `text-embedding-ada-002`. After changing the embedding, run `/memory rebuild-index` to rebuild the index.
|
||||
|
||||
|
||||
@@ -1,8 +1,16 @@
|
||||
---
|
||||
title: Qwen (Tongyi Qianwen)
|
||||
description: Tongyi Qianwen model configuration
|
||||
title: Tongyi Qwen
|
||||
description: Tongyi Qwen model configuration (Text / Image Understanding / Image Generation / Speech-to-Text / Text-to-Speech / Embedding)
|
||||
---
|
||||
|
||||
Tongyi Qwen (DashScope / Bailian) is one of the most fully-featured vendors in China. Text, image understanding, image generation, speech-to-text, text-to-speech, and embedding can all be enabled with a single `dashscope_api_key`.
|
||||
|
||||
<Tip>
|
||||
All capabilities below can be configured in one place via the "Model Management" page in the Web Console, with no need to manually edit the configuration file.
|
||||
</Tip>
|
||||
|
||||
## Text Chat
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "qwen3.6-plus",
|
||||
@@ -12,16 +20,93 @@ description: Tongyi Qianwen model configuration
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `model` | Options include `qwen3.6-plus`, `qwen3.5-plus`, `qwen3-max`, `qwen-max`, `qwen-plus`, `qwen-turbo`, `qwq-plus`, etc. |
|
||||
| `dashscope_api_key` | Create at [Bailian Console](https://bailian.console.aliyun.com/?tab=model#/api-key). See [official docs](https://bailian.console.aliyun.com/?tab=api#/api) |
|
||||
| `model` | Can be `qwen3.6-plus`, `qwen3.7-max`, `qwen3.5-plus`, `qwen3-max`, `qwen-max`, `qwen-plus`, `qwen-turbo`, `qwq-plus`, etc. |
|
||||
| `dashscope_api_key` | Create one in the [Bailian Console](https://bailian.console.aliyun.com/?tab=model#/api-key); see the [official docs](https://bailian.console.aliyun.com/?tab=api#/api) |
|
||||
|
||||
OpenAI-compatible configuration is also supported:
|
||||
## Image Understanding
|
||||
|
||||
Once `dashscope_api_key` is configured, the Agent's Vision tool automatically calls Qwen's vision models to recognize images. Models like `qwen3-max` / `qwen3.5-plus` / `qwen3.6-plus` are already multimodal; if the main model is text-only (e.g. `qwen-turbo`), it automatically falls back to `qwen-vl-max`.
|
||||
|
||||
To manually specify a Vision model:
|
||||
|
||||
```json
|
||||
{
|
||||
"bot_type": "openai",
|
||||
"model": "qwen3.6-plus",
|
||||
"open_ai_api_base": "https://dashscope.aliyuncs.com/compatible-mode/v1",
|
||||
"open_ai_api_key": "YOUR_API_KEY"
|
||||
"tools": {
|
||||
"vision": {
|
||||
"model": "qwen3.6-plus"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Supported models: `qwen3.6-plus`, `qwen3.5-plus`, `qwen3-max`.
|
||||
|
||||
## Image Generation
|
||||
|
||||
```json
|
||||
{
|
||||
"skills": {
|
||||
"image-generation": {
|
||||
"model": "qwen-image-2.0"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Available models: `qwen-image-2.0`, `qwen-image-2.0-pro`.
|
||||
|
||||
## Speech-to-Text (ASR)
|
||||
|
||||
```json
|
||||
{
|
||||
"voice_to_text": "dashscope",
|
||||
"voice_to_text_model": "qwen3-asr-flash"
|
||||
}
|
||||
```
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `voice_to_text` | Set to `dashscope` to enable Tongyi Qwen ASR |
|
||||
| `voice_to_text_model` | Optional, defaults to `qwen3-asr-flash` |
|
||||
|
||||
Credentials are automatically reused from `dashscope_api_key`. A single audio segment should be smaller than 10MB and no longer than 300 seconds.
|
||||
|
||||
## Text-to-Speech (TTS)
|
||||
|
||||
```json
|
||||
{
|
||||
"text_to_voice": "dashscope",
|
||||
"text_to_voice_model": "qwen3-tts-flash",
|
||||
"tts_voice_id": "Cherry"
|
||||
}
|
||||
```
|
||||
|
||||
| Parameter | Description |
|
||||
| --- | --- |
|
||||
| `text_to_voice_model` | Optional, defaults to `qwen3-tts-flash`; covers Mandarin, dialects, and major foreign languages |
|
||||
| `tts_voice_id` | Voice ID; see the common list below |
|
||||
|
||||
Common voice examples:
|
||||
|
||||
| Voice ID | Description |
|
||||
| --- | --- |
|
||||
| `Cherry` | Qianyue · Sunny Female Voice |
|
||||
| `Serena` | Suyao · Gentle Female Voice |
|
||||
| `Ethan` | Chenxu · Sunny Male Voice |
|
||||
| `Chelsie` | Qianxue · Anime Girl |
|
||||
| `Dylan` | Beijing Dialect · Xiaodong |
|
||||
| `Rocky` | Cantonese · Aqiang |
|
||||
| `Sunny` | Sichuan Dialect · Qing'er |
|
||||
|
||||
The full voice list (Mandarin / regional dialects / bilingual, etc.) can be selected visually in the Web Console under "Model Management → Text-to-Speech".
|
||||
|
||||
## Embedding
|
||||
|
||||
```json
|
||||
{
|
||||
"embedding_provider": "dashscope",
|
||||
"embedding_model": "text-embedding-v4"
|
||||
}
|
||||
```
|
||||
|
||||
The default model is `text-embedding-v4`. After changing the embedding, run `/memory rebuild-index` to rebuild the index.
|
||||
|
||||
Reference in New Issue
Block a user