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Eduard van Valkenburg
8ed50009c6
* Centralize tool result parsing in FunctionTool.invoke() - Add parse_result static method to FunctionTool that converts raw function return values to strings at invocation time - Add result_parser parameter to FunctionTool and @tool decorator for custom parsing - Remove prepare_function_call_results from all 9 consumer files and from the public API - Update MCPTool to parse MCP types directly to strings via _parse_tool_result_from_mcp and _parse_prompt_result_from_mcp - Change MCPTool parse_tool_results/parse_prompt_results type from Literal[True] | Callable | None to Callable | None - Remove ReturnT type parameter from FunctionTool (now single generic ArgsT since invoke() always returns str) - Update all subclass signatures and docstrings Fixes #1147 * Fix test_mcp_tool_call_tool_with_meta_integration for string results The test was still accessing result[0].additional_properties but invoke() now returns a string, not a list of Content objects. * Fix SIM108 lint: use binary operator for output assignment * Fix bedrock: use FunctionTool.parse_result instead of str() fallback str(result) turns None into literal 'None' and dicts into Python reprs with single quotes, breaking JSON parsing. Use the shared parse_result which handles None as '' and serializes via json.dumps. * updated lock * updates from feedback
8ed50009c6
ยท
2026-02-12 13:49:42 +00:00
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Get Started with Microsoft Agent Framework Bedrock
Install the provider package:
pip install agent-framework-bedrock --pre
Bedrock Integration
The Bedrock integration enables Microsoft Agent Framework applications to call Amazon Bedrock models with familiar chat abstractions, including tool/function calling when you attach tools through ChatOptions.
Basic Usage Example
See the Bedrock sample script for a runnable end-to-end script that:
- Loads credentials from the
BEDROCK_*environment variables - Instantiates
BedrockChatClient - Sends a simple conversation turn and prints the response