pydantic-ai-agent-creationlisted
Install: claude install-skill existential-birds/beagle
# Creating PydanticAI Agents
## Quick Start
```python
from pydantic_ai import Agent
# Minimal agent (text output)
agent = Agent('openai:gpt-4o')
result = agent.run_sync('Hello!')
print(result.output) # str
```
## Model Selection
Model strings follow `provider:model-name` format:
```python
# OpenAI
agent = Agent('openai:gpt-4o')
agent = Agent('openai:gpt-4o-mini')
# Anthropic
agent = Agent('anthropic:claude-sonnet-4-5')
agent = Agent('anthropic:claude-haiku-4-5')
# Google
agent = Agent('google-gla:gemini-2.0-flash')
agent = Agent('google-vertex:gemini-2.0-flash')
# Others: groq:, mistral:, cohere:, bedrock:, etc.
```
## Structured Outputs
Use Pydantic models for validated, typed responses:
```python
from pydantic import BaseModel
from pydantic_ai import Agent
class CityInfo(BaseModel):
city: str
country: str
population: int
agent = Agent('openai:gpt-4o', output_type=CityInfo)
result = agent.run_sync('Tell me about Paris')
print(result.output.city) # "Paris"
print(result.output.population) # int, validated
```
## Agent Configuration
```python
from pydantic_ai import Agent
from pydantic_ai.settings import ModelSettings
agent = Agent(
'openai:gpt-4o',
output_type=MyOutput, # Structured output type
deps_type=MyDeps, # Dependency injection type
instructions='You are helpful.', # Static instructions
retries=2, # Retry attempts for validation
name='my-agent', # For log