google/adk-go
Sep 2025 – Oct 2025
2 Months active
Languages Used
GoPython
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCloud StorageError HandlingGo
João Westerberg
PROFILE
João Westerberg
Baptiste Montfort contributed to the google/adk-go repository by building asynchronous tooling, cloud artifact storage, and robust event processing to improve reliability and cross-language compatibility. He implemented features such as a LongRunningFunctionTool for managing non-immediate operations and a GCSArtifactService for scalable artifact storage with versioning in Google Cloud Storage. His work included developing a streaming response aggregator to consolidate partial LLM outputs, introducing agent state management enhancements, and refining event pairing logic. Using Go and Python, Baptiste focused on backend development, API integration, and testing, delivering well-structured solutions that addressed complex orchestration, error handling, and maintainability challenges.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
9Total
Bugs
3
Commits
9
Features
5
Lines of code
5,511
Activity Months2
Your Network
37 people
Work History
October 2025
5 Commits • 3 Features
Oct 1, 2025October 2025: Delivered streaming reliability improvements, safer agent state management, and precise control flows in google/adk-go. Key features delivered include a Streaming Response Aggregator to consolidate partial streaming responses from LLM models into complete results, integrated across models with updated tests and event models; an OutputKey feature to save agent outputs to a specified state key with new saving/validation logic and tests; and an ExitLoop tool to terminate response-processing loops for finer control. Major bug fix included Robust Agent Transfer Logic with LLM Parent Validation to prevent invalid transfers, supported by targeted tests. Overall impact includes more deterministic streaming experiences, safer agent configuration, stronger transfer safety, and improved test coverage, contributing to reliability and developer velocity. Technologies demonstrated encompass LLM streaming orchestration, event/state modeling, test-driven development, and tool integration.
5 Commits • 3 Features
Oct 1, 2025October 2025: Delivered streaming reliability improvements, safer agent state management, and precise control flows in google/adk-go. Key features delivered include a Streaming Response Aggregator to consolidate partial streaming responses from LLM models into complete results, integrated across models with updated tests and event models; an OutputKey feature to save agent outputs to a specified state key with new saving/validation logic and tests; and an ExitLoop tool to terminate response-processing loops for finer control. Major bug fix included Robust Agent Transfer Logic with LLM Parent Validation to prevent invalid transfers, supported by targeted tests. Overall impact includes more deterministic streaming experiences, safer agent configuration, stronger transfer safety, and improved test coverage, contributing to reliability and developer velocity. Technologies demonstrated encompass LLM streaming orchestration, event/state modeling, test-driven development, and tool integration.
October 2025
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025: Delivered async tooling, cloud artifact storage, and robust event processing to enhance reliability, observability, and cross-language compatibility in google/adk-go. Implemented LongRunningFunctionTool for non-immediate operations; introduced GCSArtifactService for scalable artifact storage with versioning; improved Content Processor with event rearrangement to correctly pair calls and responses; fixed Run result unmarshalling for basic types to maintain Python compatibility; expanded test coverage and utilities to support these areas.
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025: Delivered async tooling, cloud artifact storage, and robust event processing to enhance reliability, observability, and cross-language compatibility in google/adk-go. Implemented LongRunningFunctionTool for non-immediate operations; introduced GCSArtifactService for scalable artifact storage with versioning; improved Content Processor with event rearrangement to correctly pair calls and responses; fixed Run result unmarshalling for basic types to maintain Python compatibility; expanded test coverage and utilities to support these areas.
Activity
Loading activity data...
Quality Metrics
Correctness92.2%
Maintainability85.6%
Architecture90.0%
Performance82.2%
AI Usage33.4%
Skills & Technologies
Programming Languages
GoPython
Technical Skills
API DevelopmentAPI IntegrationAgent SystemsBackend DevelopmentCloud StorageError HandlingGoGo ProgrammingLLM IntegrationRefactoringSoftware DesignTestingTool Developmentbackend developmenttesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline