openai/openai-dotnet
Nov 2025 – Nov 2025
1 Month active
Languages Used
C#TypeScript
Technical Skills
API DevelopmentAPI IntegrationC#Event HandlingObject-Oriented ProgrammingSoftware Design
ShivangiReja
PROFILE
Shivangireja
Shivangi Reja developed four new features for the openai/openai-dotnet repository, focusing on enhancing real-time AI reasoning visibility and improving citation traceability. She implemented streaming event types for reasoning text and summaries, allowing developers to observe AI decision processes as they happen. By adding filename metadata to file citation annotations, she improved traceability within API responses. Shivangi also expanded web search capabilities by integrating stable web search tool support and a dedicated preview factory. Utilizing C#, TypeScript, and expertise in API development and event handling, her work delivered deeper insight, richer metadata, and more robust conversation management for end users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
4
Lines of code
98,270
Activity Months1
Your Network
1722 peopleSame Organization
@users.noreply.github.com1701
Work History
November 2025
4 Commits • 4 Features
Nov 1, 2025Month: 2025-11 — Concise monthly summary for openai/openai-dotnet focusing on delivering features that expand streaming reasoning visibility, enhance citation traceability, broaden web search capabilities, and enrich API response metadata. This month’s work improves real-time insight into AI reasoning, improves traceability for citations, extends information retrieval capabilities, and strengthens conversation management with richer response properties, driving developer productivity and end-user value. No major bugs reported in this dataset.
4 Commits • 4 Features
Nov 1, 2025Month: 2025-11 — Concise monthly summary for openai/openai-dotnet focusing on delivering features that expand streaming reasoning visibility, enhance citation traceability, broaden web search capabilities, and enrich API response metadata. This month’s work improves real-time insight into AI reasoning, improves traceability for citations, extends information retrieval capabilities, and strengthens conversation management with richer response properties, driving developer productivity and end-user value. No major bugs reported in this dataset.
November 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance95.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#TypeScript
Technical Skills
API DevelopmentAPI IntegrationC#Event HandlingObject-Oriented ProgrammingSoftware DesignSoftware DevelopmentSoftware EngineeringStreaming DataTool IntegrationTypeScript
Repositories Contributed To
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