wehub-resource-sync
db620d33df
CodeQL / Analyze (csharp) (push) Waiting to run
CodeQL / Analyze (python) (push) Waiting to run
dotnet-build-and-test / dotnet-test-functions (push) Has been cancelled
dotnet-build-and-test / paths-filter (push) Has been cancelled
dotnet-build-and-test / dotnet-build (Debug, windows-latest, net9.0) (push) Has been cancelled
dotnet-build-and-test / dotnet-build (Release, ubuntu-latest, net10.0) (push) Has been cancelled
dotnet-build-and-test / dotnet-build (Release, ubuntu-latest, net8.0) (push) Has been cancelled
dotnet-build-and-test / dotnet-build (Release, windows-latest, net472) (push) Has been cancelled
dotnet-build-and-test / dotnet-test (Release, integration, true, ubuntu-latest, net10.0) (push) Has been cancelled
dotnet-build-and-test / dotnet-test (Release, integration, true, windows-latest, net472) (push) Has been cancelled
dotnet-build-and-test / dotnet-foundry-hosted-it (push) Has been cancelled
dotnet-build-and-test / dotnet-build-and-test-check (push) Has been cancelled
dotnet-build-and-test / Integration Test Report (push) Has been cancelled
678 B
678 B
Bedrock Package (agent-framework-bedrock)
Integration with AWS Bedrock for LLM inference.
Main Classes
BedrockChatClient- Chat client for AWS Bedrock modelsBedrockChatOptions- Options TypedDict for Bedrock-specific parametersBedrockGuardrailConfig- Configuration for Bedrock guardrailsBedrockSettings- Pydantic settings for Bedrock configuration
Usage
from agent_framework.amazon import BedrockChatClient
client = BedrockChatClient(model="anthropic.claude-3-sonnet-20240229-v1:0")
response = await client.get_response("Hello")
Import Path
from agent_framework.amazon import BedrockChatClient