togethercomputer/openapi
Mar 2026 – Mar 2026
1 Month active
Languages Used
YAML
Technical Skills
API DevelopmentAPI DocumentationBackend DevelopmentDocumentationError HandlingOpenAPI Specification
Gleb Khaykin
PROFILE
Gleb Khaykin
Khay King Leb enhanced the togethercomputer/openapi repository by developing new reinforcement learning API specification features focused on training session control and reliability. He introduced endpoints for stopping training and creating inference checkpoints, refactored error handling from RpcStatus to ErrorData, and standardized identifier fields to improve API consistency. Working primarily with YAML and OpenAPI Specification, Khay expanded schema support for Lora-related features and enriched documentation to clarify component usage. His work improved prompts handling, pagination, and required fields, resulting in more robust and maintainable RL workflows. These updates facilitated safer long-running operations and streamlined integration for both clients and internal teams.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
1
Lines of code
418
Activity Months1
Your Network
33 peopleShared Repositories
33
Work History
March 2026
7 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for togethercomputer/openapi focusing on reinforcement learning API spec enhancements, with refactors for reliability and API consistency. Delivered new training session control endpoints, improved error handling and field requirements, standardized IDs, and expanded documentation and Lora-related schema support. Resulted in clearer, more reliable RL workflows for clients and internal teams.
7 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for togethercomputer/openapi focusing on reinforcement learning API spec enhancements, with refactors for reliability and API consistency. Delivered new training session control endpoints, improved error handling and field requirements, standardized IDs, and expanded documentation and Lora-related schema support. Resulted in clearer, more reliable RL workflows for clients and internal teams.
March 2026
Activity
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Quality Metrics
Correctness94.2%
Maintainability91.4%
Architecture94.2%
Performance91.4%
AI Usage31.4%
Skills & Technologies
Programming Languages
YAML
Technical Skills
API DevelopmentAPI DocumentationBackend DevelopmentDocumentationError HandlingOpenAPI SpecificationRefactoringSchema Design
Repositories Contributed To
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