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picoclaw/docs/migration/model-list-migration.md
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yinwm 5cd1597674 fix: remove unnecessary lock mechanism and upgrade Claude 3 to Claude 4
- Remove sync.RWMutex and rrCounters from Config struct
- Simplify GetModelConfig to use global atomic counter for load balancing
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- Upgrade all Claude 3 references to Claude 4 across documentation

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-20 11:34:52 +08:00

5.8 KiB

Migration Guide: From providers to model_list

This guide explains how to migrate from the legacy providers configuration to the new model_list format.

Why Migrate?

The new model_list configuration offers several advantages:

  • Zero-code provider addition: Add OpenAI-compatible providers with configuration only
  • Load balancing: Configure multiple endpoints for the same model
  • Protocol-based routing: Use prefixes like openai/, anthropic/, etc.
  • Cleaner configuration: Model-centric instead of vendor-centric

Timeline

Version Status
v1.x model_list introduced, providers deprecated but functional
v1.x+1 Prominent deprecation warnings, migration tool available
v2.0 providers configuration removed

Before and After

Before: Legacy providers Configuration

{
  "providers": {
    "openai": {
      "api_key": "sk-your-openai-key",
      "api_base": "https://api.openai.com/v1"
    },
    "anthropic": {
      "api_key": "sk-ant-your-key"
    },
    "deepseek": {
      "api_key": "sk-your-deepseek-key"
    }
  },
  "agents": {
    "defaults": {
      "provider": "openai",
      "model": "gpt-5.2"
    }
  }
}

After: New model_list Configuration

{
  "model_list": [
    {
      "model_name": "gpt4",
      "model": "openai/gpt-5.2",
      "api_key": "sk-your-openai-key",
      "api_base": "https://api.openai.com/v1"
    },
    {
      "model_name": "claude-sonnet-4",
      "model": "anthropic/claude-sonnet-4",
      "api_key": "sk-ant-your-key"
    },
    {
      "model_name": "deepseek",
      "model": "deepseek/deepseek-chat",
      "api_key": "sk-your-deepseek-key"
    }
  ],
  "agents": {
    "defaults": {
      "model": "gpt4"
    }
  }
}

Protocol Prefixes

The model field uses a protocol prefix format: [protocol/]model-identifier

Prefix Description Example
openai/ OpenAI API (default) openai/gpt-5.2
anthropic/ Anthropic API anthropic/claude-opus-4
antigravity/ Google via Antigravity OAuth antigravity/gemini-2.0-flash
claude-cli/ Claude CLI (local) claude-cli/claude-sonnet-4
codex-cli/ Codex CLI (local) codex-cli/codex-4
github-copilot/ GitHub Copilot github-copilot/gpt-4o
openrouter/ OpenRouter openrouter/anthropic/claude-sonnet-4
groq/ Groq API groq/llama-3.1-70b
deepseek/ DeepSeek API deepseek/deepseek-chat
cerebras/ Cerebras API cerebras/llama-3.3-70b
qwen/ Alibaba Qwen qwen/qwen-max

Note: If no prefix is specified, openai/ is used as the default.

ModelConfig Fields

Field Required Description
model_name Yes User-facing alias for the model
model Yes Protocol and model identifier (e.g., openai/gpt-5.2)
api_base No API endpoint URL
api_key No* API authentication key
proxy No HTTP proxy URL
auth_method No Authentication method: oauth, token
connect_mode No Connection mode for CLI providers: stdio, grpc
rpm No Requests per minute limit
max_tokens_field No Field name for max tokens

*api_key is required for HTTP-based protocols unless api_base points to a local server.

Load Balancing

Configure multiple endpoints for the same model to distribute load:

{
  "model_list": [
    {
      "model_name": "gpt4",
      "model": "openai/gpt-5.2",
      "api_key": "sk-key1",
      "api_base": "https://api1.example.com/v1"
    },
    {
      "model_name": "gpt4",
      "model": "openai/gpt-5.2",
      "api_key": "sk-key2",
      "api_base": "https://api2.example.com/v1"
    },
    {
      "model_name": "gpt4",
      "model": "openai/gpt-5.2",
      "api_key": "sk-key3",
      "api_base": "https://api3.example.com/v1"
    }
  ]
}

When you request model gpt4, requests will be distributed across all three endpoints using round-robin selection.

Adding a New OpenAI-Compatible Provider

With model_list, adding a new provider requires zero code changes:

{
  "model_list": [
    {
      "model_name": "my-custom-llm",
      "model": "openai/my-model-v1",
      "api_key": "your-api-key",
      "api_base": "https://api.your-provider.com/v1"
    }
  ]
}

Just specify openai/ as the protocol (or omit it for the default), and provide your provider's API base URL.

Backward Compatibility

During the migration period, your existing providers configuration will continue to work:

  1. If model_list is empty and providers has data, the system auto-converts internally
  2. A deprecation warning is logged: "providers config is deprecated, please migrate to model_list"
  3. All existing functionality remains unchanged

Migration Checklist

  • Identify all providers you're currently using
  • Create model_list entries for each provider
  • Use appropriate protocol prefixes
  • Update agents.defaults.model to reference the new model_name
  • Test that all models work correctly
  • Remove or comment out the old providers section

Troubleshooting

Model not found error

model "xxx" not found in model_list or providers

Solution: Ensure the model_name in model_list matches the value in agents.defaults.model.

Unknown protocol error

unknown protocol "xxx" in model "xxx/model-name"

Solution: Use a supported protocol prefix. See the Protocol Prefixes table above.

Missing API key error

api_key or api_base is required for HTTP-based protocol "xxx"

Solution: Provide api_key and/or api_base for HTTP-based providers.

Need Help?