pydantic-ai-deepagent
pydantic-ai's model to implement deepclaude-style-agent. Making models such as claude can use deepseek r1's thinking as a reference for tool use. Check the example.
⚠️ This is not a official project of PydanticAI, And PydanticAI is in early beta, the API is still subject to change and there's a lot more to do. Feedback is very welcome!
WIP
- Implement StreamResponse
- Add tests
Install
pip install pydantic_ai_deepagent
Usage
import os
from pydantic import BaseModel
from pydantic_ai import Agent, capture_run_messages
from pydantic_ai_bedrock.bedrock import BedrockModel
from pydantic_ai_deepagent.deepagent import DeepAgentModel
from pydantic_ai_deepagent.reasoning import DeepseekReasoningModel
DEEPSEEK_R1_MODEL_NAME = os.getenv("DEEPSEEK_R1_MODEL_NAME")
DEEPSEEK_R1_API_KEY = os.getenv("DEEPSEEK_R1_API_KEY")
DEEPSEEK_R1_BASE_URL = os.getenv("DEEPSEEK_R1_BASE_URL")
model = DeepAgentModel(
reasoning_model=DeepseekReasoningModel(
model_name=DEEPSEEK_R1_MODEL_NAME,
api_key=DEEPSEEK_R1_API_KEY,
base_url=DEEPSEEK_R1_BASE_URL,
), # Any model's Textpart is reasoning content
execution_model=BedrockModel(
model_name="us.amazon.nova-micro-v1:0"
), # Any other model can use tool call, e.g. OpenAI
)
agent = Agent(model)
More examples can be found in examples
Develop
Install pre-commit before commit
pip install pre-commit
pre-commit install
Install package locally
pip install -e .[test]
Run unit-test before PR, ensure that new features are covered by unit tests
pytest -v
Metadata
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