Files
Eduard van Valkenburg d08200d00e Python: Bump package versions for 1.12.0 release (#7238)
* Bump Python package versions for 1.12.0 release

Bump packages represented in the 1.12.0 changelog, promote Foundry Hosting, Azure Content Understanding, Gemini, Mistral, Monty, and Tools to beta, and apply the requested beta cohort date stamp. Root and core move to 1.12.0, released and RC packages use their selected increments, alpha packages including Hosting MCP use the 260721 stamp, and core floors are raised only for proven consumers.

Copilot-Session: 2dd9980a-b869-4c16-8642-75b7a6d6ebdf

* fix version in readme

* Add Responses conversation ID changes to release notes

Include the breaking Hosting Responses conversation ID helper changes from #7234 in the Python 1.12.0 changelog.

Copilot-Session: 2dd9980a-b869-4c16-8642-75b7a6d6ebdf
2026-07-21 15:45:00 +00:00
..
2026-07-14 06:44:26 +00:00
2026-07-14 06:44:26 +00:00

Get Started with Microsoft Agent Framework Anthropic

Please install this package via pip:

pip install agent-framework-anthropic --pre

Anthropic Integration

The Anthropic integration enables communication with the Anthropic API, allowing your Agent Framework applications to leverage Anthropic's capabilities.

The package also includes Anthropic-hosted transport wrappers for:

  • Microsoft Foundry via AnthropicFoundryClient
  • Amazon Bedrock via AnthropicBedrockClient
  • Google Vertex AI via AnthropicVertexClient

Basic Usage Example

See the Anthropic agent examples which demonstrate:

  • Connecting to a Anthropic endpoint with an agent
  • Streaming and non-streaming responses

Structured system blocks for prompt caching

Use instructions with Anthropic-native system blocks when you need structured system prompt content, such as prompt-cache cache_control metadata. Do not combine structured instructions blocks with a leading system message.

from anthropic.types.beta import BetaTextBlockParam

from agent_framework_anthropic import AnthropicClient

client = AnthropicClient()
system_blocks: list[BetaTextBlockParam] = [
    {"type": "text", "text": "Stable instructions", "cache_control": {"type": "ephemeral", "ttl": "1h"}},
]

response = await client.get_response("Hello", options={"instructions": system_blocks})