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* Add agent-framework-gemini package * Add AGENTS.md documentation * Add LICENSE file * Add README.md for agent-framework-gemini package * Add Google Gemini API keys to .env.example * Add Google Gemini chat client implementation * Add tests for GeminiChatClient * Add Google Gemini agent examples * Fix client inheritence order * Update Gemini agent examples * Update documentation * Update AGENTS.md * Add tests for JSON string handling in GeminiChatClient * Add final response assembly test in GeminiChatClient * Add tests for handling empty candidates in GeminiChatClient * Improve Pydantic response handling in GeminiChatClient * Add tests for function result resolution and callable tool normalization * Add test for function result resolution when call_id is generated * Refactor GeminiChatClient to correct inheritance order Also updates constructor parameter order for environment file handling * Enhance documentation and clarify Gemini-specific fields * Update ThinkingConfig with new attributes and type * Add tests for GoogleSearch and GoogleMaps configs * Suppress valid-type mypy error on GeminiChatOptionsT * Move service_url method near overrides * Order _prepare_config kwargs by base then Gemini-specific * Use FunctionCallingConfigMode for clarity and type safety * Fix code_execution doc * Add agent-framework-gemini to project dependencies * Remove package from core dependencies Initial release will be done without agent-framework-gemini in core[all]. * Move integration tests into one file * Remove __init__.py file from gemini tests directory * Introduce RawGeminiChatClient as lightweight chat client Updated GeminiChatClient to inherit from RawGeminiChatClient, maintaining full functionality with added features. * Updated variable names from `model_id` to `model` Across the codebase, including environment variables and client initialization. Adjusted related tests and sample scripts to reflect this change, ensuring consistency in the usage of the Gemini model identifier. * Update AGENTS.md * Update Gemini package to alpha status * Fix docstrings in Gemini tests * Change 'model_id' to 'model' in response handling * Fix model property change in response handling * Add built-in tool factory methods to Gemini client Replaces boolean tool options (code_execution, google_search_grounding, google_maps_grounding) with static factory methods that return types.Tool objects: get_code_interpreter_tool, get_web_search_tool, get_mcp_tool, get_file_search_tool, and get_maps_grounding_tool. Simplifies _prepare_tools to a single translation boundary between FunctionTool (framework) and FunctionDeclaration (Gemini API), with types.Tool objects passed through unchanged. * Surface code execution parts _parse_parts now maps executable_code and code_execution_result parts to text Content objects so callers can see the code run and its output. Unknown part types log at debug level rather than being silently dropped. * Update Gemini client documentation * Unify Gemini model name Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Update Agent Framework core version Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Add Python 3.14 in classifiers * Replace kwargs with parameters in tool factories * Refactor chat options handling in Gemini client * Add tests for handling unknown and consumed keys * Update Gemini documentation Now reflects new options and built-in tool factory methods * Change build system to flit Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Fix build system in pyproject.toml * Fix type checking for generate_content_stream --------- Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
1.4 KiB
1.4 KiB
Gemini Package (agent-framework-gemini)
Integration with Google's Gemini API via the google-genai SDK.
Core Classes
RawGeminiChatClient- Lightweight chat client without any layers, for custom pipeline compositionGeminiChatClient- Full-featured chat client with function invocation, middleware, and telemetryGeminiChatOptions- Options TypedDict for Gemini-specific parametersGeminiSettings- Settings loaded from environment variablesThinkingConfig- Configuration for extended thinking
Gemini-specific Options
thinking_config- Enable extended thinking viaThinkingConfigresponse_schema- Raw JSON schema dict for structured output (alternative toresponse_format)top_k- Top-K sampling parameter
Built-in Tool Factory Methods
get_web_search_tool()- Google Search grounding for up-to-date web answersget_code_interpreter_tool()- Sandboxed code executionget_maps_grounding_tool()- Google Maps grounding for location and mappingget_file_search_tool()- Retrieval from Gemini file search storesget_mcp_tool()- Model Context Protocol server integration
Usage
from agent_framework import Content, Message
from agent_framework_gemini import GeminiChatClient
client = GeminiChatClient(model="gemini-2.5-flash")
response = await client.get_response([Message(role="user", contents=[Content.from_text("Hello")])])