Use when user asks to configure LLM profiles, manage AI model settings, add/update/remove LLM configurations, or switch between different LLM providers like OpenAI, Anthropic, Google, etc.
Scanned 9/8/2026
Install to Claude Code
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---
name: config-llm
description: Use when user asks to configure LLM profiles, manage AI model settings, add/update/remove LLM configurations, or switch between different LLM providers like OpenAI, Anthropic, Google, etc.
---
# Config LLM - LLM Profile Management
## Overview
Manage LLM (Large Language Model) profiles for VibeSurf. Configure different AI providers, models, and their parameters.
## When to Use
- User wants to add a new LLM profile
- User needs to switch default LLM
- User wants to update LLM settings (temperature, max_tokens, etc.)
- User needs to see available LLM providers and models
- User wants to list or manage existing LLM profiles
## API Endpoints
Base path: `$VIBESURF_ENDPOINT/api/config`
### Profile Management
| Action | Method | Endpoint | Description |
|--------|--------|----------|-------------|
| List Profiles | GET | `/api/config/llm-profiles?active_only=true` | List all LLM profiles |
| Get Profile | GET | `/api/config/llm-profiles/{profile_name}` | Get specific profile details |
| Create Profile | POST | `/api/config/llm-profiles` | Create new LLM profile |
| Update Profile | PUT | `/api/config/llm-profiles/{profile_name}` | Update existing profile |
| Set Default | POST | `/api/config/llm-profiles/{profile_name}/set-default` | Set profile as default |
| Get Default | GET | `/api/config/llm-profiles/default/current` | Get current default profile |
### Provider Management
| Action | Method | Endpoint | Description |
|--------|--------|----------|-------------|
| List Providers | GET | `/api/config/llm/providers` | Get available LLM providers |
| Get Models | GET | `/api/config/llm/providers/{provider_name}/models` | Get models for a provider |
## Provider Notes
> **Tip:** Use `GET /api/config/llm/providers` to see all available providers and their supported models.
>
> **For OpenAI-compatible APIs:** If using a third-party provider that offers OpenAI-compatible endpoints (like local models, DeepSeek, or other proxies), use the `openai_compatible` provider and set the custom `base_url`.
## Request Examples
### Create Profile
```json
POST /api/config/llm-profiles
{
"profile_name": "my-openai",
"provider": "openai",
"model": "gpt-4",
"api_key": "sk-...",
"temperature": 0.7,
"max_tokens": 4096,
"is_default": false
}
```
### Update Profile
```json
PUT /api/config/llm-profiles/my-openai
{
"temperature": 0.5,
"max_tokens": 2048
}
```
## Profile Fields
| Field | Type | Required | Description |
|-------|------|----------|-------------|
| profile_name | string | Yes | Unique profile identifier |
| provider | string | Yes | Provider name |
| model | string | Yes | Model name |
| api_key | string | Yes | API key for the provider |
| base_url | string | No | Custom base URL |
| temperature | float | No | Sampling temperature (0-2) |
| max_tokens | int | No | Maximum tokens to generate |
| top_p | float | No | Nucleus sampling |
| frequency_penalty | float | No | Frequency penalty (-2 to 2) |
| seed | int | No | Random seed |
| description | string | No | Profile description |
| is_default | bool | No | Set as default profile |
## Workflow
1. **Get available providers** → `GET /api/config/llm/providers`
2. **Choose provider and model** → `GET /api/config/llm/providers/{provider}/models`
3. **Create profile** → `POST /api/config/llm-profiles`
4. **Set as default** (optional) → `POST /api/config/llm-profiles/{name}/set-default`
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