pydantic-ai-model-integration
Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience, or optimizing API calls.
npx skills add majiayu000/claude-skill-registry --skill pydantic-ai-model-integration --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# PydanticAI Model Integration ## Provider Model Strings Format: `provider:model-name` ```python from pydantic_ai import Agent # OpenAI Agent('openai:gpt-4o') Agent('openai:gpt-4o-mini') Agent('openai:o1-preview') # Anthropic Agent('anthropic:claude-sonnet-4-5') Agent('anthropic:claude-haiku-4-5') # Google (API Key) Agent('google-gla:gemini-2.0-flash') Agent('google-gla:gemini-2.0-pro') # Google (Vertex AI) Agent('google-vertex:gemini-2.0-flash') # Groq Agent('groq:llama-3.3-70b-versatile') Agent('groq:mixtral-8x7b-32768') # Mistral Agent('mistral:mistral-large-latest') # Other providers Agent('cohere:command-r-plus') Agent('bedrock:anthropic.claude-3-sonnet') ``` ## Model Settings ```python from pydantic_ai import Agent from pydantic_ai.settings import ModelSettings agent = Agent( 'openai:gpt-4o', model_settings=ModelSettings( temperature=0.7, max_tokens=1000, top_p=0.9, timeout=30.0, # Request timeout ) ) # Override per-run result = await agent.run( 'Generate creative text', model_settings=ModelSettings(temperature=1.0) ) ``` ## Fallback Models Chain models for resilience: ```python from pydantic_ai.models.fallback import FallbackModel # Try models in order until one succeeds fal
- Provider Model Strings
- Model Settings
- Fallback Models
- Streaming Responses
- Streaming with Structured Output
- Dynamic Model Selection
- Deferred Model Checking
- Usage Tracking
- Usage Limits
- Provider-Specific Features
- OpenAI
- Anthropic
- Common Model Patterns
- Check gates before ship
What does the pydantic-ai-model-integration skill do?
Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience, or optimizing API calls.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill pydantic-ai-model-integration --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.