Skip to main content

pydantic_ai_bedrock

Project description

pydantic_ai_bedrock

https://github.com/pydantic/pydantic-ai/issues/118#issuecomment-2589200395

Install

pip install pydantic_ai_bedrock

Usage

from pydantic_ai import Agent
from pydantic_ai_bedrock.bedrock import (
    BedrockModel,
)  # Replace with `pydantic_ai.bedrock import BedrockModel` when pydantic_ai support bedrock

model = BedrockModel(
    model_name="anthropic.claude-3-5-sonnet-20241022-v2:0",
)
agent = Agent(model, system_prompt="You are a helpful assistant.")


if __name__ == "__main__":
    result = agent.run_sync("Hello world!")
    print(result.data)
    print(result.usage())

Develop

Install pre-commit before commit

pip install pre-commit
pre-commit install

Install package locally

pip install -e .[test]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydantic_ai_bedrock-0.0.3.tar.gz (14.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pydantic_ai_bedrock-0.0.3-py3-none-any.whl (5.8 kB view details)

Uploaded Python 3

File details

Details for the file pydantic_ai_bedrock-0.0.3.tar.gz.

File metadata

  • Download URL: pydantic_ai_bedrock-0.0.3.tar.gz
  • Upload date:
  • Size: 14.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for pydantic_ai_bedrock-0.0.3.tar.gz
Algorithm Hash digest
SHA256 4df53711392a7312a60812269dd8c5f95cc2a4b860b5b1486c57039eadf9bea1
MD5 b32870f163a22e61d1440f4537998c3a
BLAKE2b-256 2d8aea816dfd8fe2be263d9d2b772b1974d6da4d97292d2aa7c80fc1c2788420

See more details on using hashes here.

File details

Details for the file pydantic_ai_bedrock-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for pydantic_ai_bedrock-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 5f57fb72f37059011a905ef961c07592a39a55c1f5877e689d5fd26609d35afd
MD5 fcfb63a4126a5b2c046df0c8ce860694
BLAKE2b-256 6acbca97d69328ba943cac8086be20e5640e222076d195277e6001dd13bc75e7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page