Files
agent-framework/python/packages/bedrock/AGENTS.md
Eduard van Valkenburg 6acab3d1d6 Python: [BREAKING] Standardize model selection on model (#4999)
* Refactor Anthropic model option and provider clients

Rename the Anthropic client model option from model_id to model, add provider-specific Anthropic wrappers for Foundry, Bedrock, and Vertex, and expose them through the Anthropic, Foundry, Amazon, and Google namespaces. Update core option handling, docs, samples, and tests accordingly.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix Anthropic skills sample typing

Cast the Anthropic beta client to Any in the skills sample so the pre-commit sample pyright check no longer fails on beta skills and files endpoints that are not exposed by the current SDK stubs.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* undo sample mypy

* Retry CI after transient external failures

Retrigger PR validation after an unrelated Copilot review workflow SAML failure and a transient external tau2 git fetch failure in the Windows Python test setup.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback on model option merging

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address Anthropic compatibility review feedback

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* moved all to `model`

* fixes for azure ai search

* Python: standardize remaining sample env var names

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: fix foundry-local pyright compatibility

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated env vars in cicd

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-01 19:00:18 +00:00

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Markdown

# Bedrock Package (agent-framework-bedrock)
Integration with AWS Bedrock for LLM inference.
## Main Classes
- **`BedrockChatClient`** - Chat client for AWS Bedrock models
- **`BedrockChatOptions`** - Options TypedDict for Bedrock-specific parameters
- **`BedrockGuardrailConfig`** - Configuration for Bedrock guardrails
- **`BedrockSettings`** - Pydantic settings for Bedrock configuration
## Usage
```python
from agent_framework.amazon import BedrockChatClient
client = BedrockChatClient(model="anthropic.claude-3-sonnet-20240229-v1:0")
response = await client.get_response("Hello")
```
## Import Path
```python
from agent_framework.amazon import BedrockChatClient
```