browser-use/web-ui
Apr 2025 – Apr 2025
1 Month active
Languages Used
PythonYAML
Technical Skills
API IntegrationBackend DevelopmentConfiguration ManagementFull Stack DevelopmentLLM Integration
Madhuri Pednekar
PROFILE
Madhuri Pednekar
Developed IBM WatsonX model support for the browser-use/web-ui repository, enabling broader AI model compatibility within the project. The work involved integrating IBM watsonx language models using Python and YAML, configuring environment variables, and managing dependencies to support seamless LangChain IBM integration. Expanded the system’s capabilities by adding the IBM Granite Vision model variant, thereby increasing the range of supported models available to users. Enhanced reliability through the addition of targeted test coverage for the new integration. This feature-focused contribution strengthened backend development and configuration management, positioning the project for more flexible and scalable AI deployments in future releases.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
39
Activity Months1
Your Network
51 peopleWork History
April 2025
2 Commits • 1 Features
Apr 1, 2025In April 2025, delivered IBM WatsonX model support for the browser-use/web-ui project, expanding model compatibility and strengthening test coverage. Implemented environment variable configuration, dependencies, and LangChain IBM integration to enable IBM watsonx usage, and added a test case. Expanded supported models to include the IBM Granite Vision variant (ibm/granite-vision-3.1-2b-preview). This work enhances model availability for users and positions the product for broader AI deployments.
2 Commits • 1 Features
Apr 1, 2025In April 2025, delivered IBM WatsonX model support for the browser-use/web-ui project, expanding model compatibility and strengthening test coverage. Implemented environment variable configuration, dependencies, and LangChain IBM integration to enable IBM watsonx usage, and added a test case. Expanded supported models to include the IBM Granite Vision variant (ibm/granite-vision-3.1-2b-preview). This work enhances model availability for users and positions the product for broader AI deployments.
April 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
API IntegrationBackend DevelopmentConfiguration ManagementFull Stack DevelopmentLLM Integration
Repositories Contributed To
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