hud-evals/hud-sdk
Aug 2025 – Jun 2026
11 Months active
Languages Used
BashDockerfileGitJSONJavaScriptMarkdownPythonShell
Technical Skills
AI Agent DevelopmentAI Prompt EngineeringAI TrainingAPI DevelopmentAPI IntegrationAgent Development
Jaideep
PROFILE
Jaideep
Over an 11-month period, contributed extensively to the hud-evals/hud-sdk repository, building and modernizing an agent-based AI development platform. Work included core architectural refactors, modularizing agent frameworks, and aligning SDK and CLI surfaces for cloud and local deployments. Leveraged Python, Docker, and CI/CD pipelines to improve reliability, maintainability, and developer onboarding. Enhanced agent evaluation workflows with telemetry instrumentation, robust error handling, and comprehensive documentation. Integrated advanced models such as GPT-5 and Gemini, expanded tool discovery, and streamlined configuration management. Focused on code quality through static analysis, rigorous testing, and continuous refactoring, enabling safer releases and faster iteration cycles.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
341Total
Bugs
56
Commits
341
Features
131
Lines of code
266,719
Activity Months11
Your Network
28 peopleWork History
June 2026
31 Commits • 13 Features
Jun 1, 2026June 2026 – hud-sdk: Deliveries focused on architectural modernization, platform alignment, and reliability improvements that unlock faster iteration and safer deployments. Key features delivered include: Core Architecture Refactor and Task/Environment Structure Overhaul (decoupled job registration from telemetry; replaced references to variants with tasks to improve modularity); V6 rewrite control plane alignment and V6 SDK/CLI surfaces alignment (canonical API prefixes, improved taskset/export flow, and environment/name handling); Cloud Mode HUD runtime tunnel support to enable cloud-based operation; Remove HUD Build to streamline CI and build pipeline; and targeted quality/ops improvements (pyright typing configuration and documentation). Major bug fixes addressed platform gateway HUD key propagation, and environment/prefix handling for local tasks to improve reliability across environments. Overall impact: reduced maintenance burden, clearer execution model, and smoother integration with the rewrite control plane, enabling faster feature delivery and more robust deployments. Technologies/skills demonstrated: architectural refactoring, API design alignment, cloud-mode deployment support, static typing (pyright), CI/CD pipeline simplification, and test/docs discipline.
31 Commits • 13 Features
Jun 1, 2026June 2026 – hud-sdk: Deliveries focused on architectural modernization, platform alignment, and reliability improvements that unlock faster iteration and safer deployments. Key features delivered include: Core Architecture Refactor and Task/Environment Structure Overhaul (decoupled job registration from telemetry; replaced references to variants with tasks to improve modularity); V6 rewrite control plane alignment and V6 SDK/CLI surfaces alignment (canonical API prefixes, improved taskset/export flow, and environment/name handling); Cloud Mode HUD runtime tunnel support to enable cloud-based operation; Remove HUD Build to streamline CI and build pipeline; and targeted quality/ops improvements (pyright typing configuration and documentation). Major bug fixes addressed platform gateway HUD key propagation, and environment/prefix handling for local tasks to improve reliability across environments. Overall impact: reduced maintenance burden, clearer execution model, and smoother integration with the rewrite control plane, enabling faster feature delivery and more robust deployments. Technologies/skills demonstrated: architectural refactoring, API design alignment, cloud-mode deployment support, static typing (pyright), CI/CD pipeline simplification, and test/docs discipline.
June 2026
May 2026
9 Commits • 2 Features
May 1, 2026May 2026 monthly summary for hud-evals/hud-sdk: Delivered a major Agent Framework Core Refactor to modernize the HUD SDK agent system with modular architecture, improved run-state management, standardized tool naming and imports, and added top-level system prompts and citation metadata. Implemented inference telemetry instrumentation and strengthened testing guidelines. Published comprehensive HUD Python Agent documentation and guides to accelerate adoption and evaluation workflows.
May 2026
9 Commits • 2 Features
May 1, 2026May 2026 monthly summary for hud-evals/hud-sdk: Delivered a major Agent Framework Core Refactor to modernize the HUD SDK agent system with modular architecture, improved run-state management, standardized tool naming and imports, and added top-level system prompts and citation metadata. Implemented inference telemetry instrumentation and strengthened testing guidelines. Published comprehensive HUD Python Agent documentation and guides to accelerate adoption and evaluation workflows.
April 2026
12 Commits • 4 Features
Apr 1, 2026April 2026 hud-sdk monthly summary focusing on delivering business value through build, deployment, and analysis tooling improvements. The month delivered significant Docker CLI enhancements, improved deployment flexibility, and robust error handling and maintainability across the codebase.
12 Commits • 4 Features
Apr 1, 2026April 2026 hud-sdk monthly summary focusing on delivering business value through build, deployment, and analysis tooling improvements. The month delivered significant Docker CLI enhancements, improved deployment flexibility, and robust error handling and maintainability across the codebase.
April 2026
March 2026
23 Commits • 8 Features
Mar 1, 2026March 2026 performance snapshot for hud-sdk: key AI capabilities delivered, tooling expanded, and code quality and stability improvements. Highlights include GPT-5 integration for the Response Agent, broader tool discovery via Tool Search, a major code refactor with telemetry, and comprehensive linting and hardening across the codebase. Release readiness and stability gains position the project for safer deployments and faster feature iteration, with demonstrable business value in improved agent responsiveness, tool interoperability, and developer experience.
March 2026
23 Commits • 8 Features
Mar 1, 2026March 2026 performance snapshot for hud-sdk: key AI capabilities delivered, tooling expanded, and code quality and stability improvements. Highlights include GPT-5 integration for the Response Agent, broader tool discovery via Tool Search, a major code refactor with telemetry, and comprehensive linting and hardening across the codebase. Release readiness and stability gains position the project for safer deployments and faster feature iteration, with demonstrable business value in improved agent responsiveness, tool interoperability, and developer experience.
February 2026
105 Commits • 49 Features
Feb 1, 2026February 2026 (2026-02) focused on delivering reliable, maintainable improvements to hud-sdk, expanding tool support, tightening code quality, and strengthening testing and deployment readiness. The month delivered concrete business-value features, stability bug fixes, and architectural tweaks that reduce risk and accelerate future iteration cycles.
105 Commits • 49 Features
Feb 1, 2026February 2026 (2026-02) focused on delivering reliable, maintainable improvements to hud-sdk, expanding tool support, tightening code quality, and strengthening testing and deployment readiness. The month delivered concrete business-value features, stability bug fixes, and architectural tweaks that reduce risk and accelerate future iteration cycles.
February 2026
January 2026
32 Commits • 8 Features
Jan 1, 2026January 2026 (2026-01) — hud-sdk: Strengthened reliability, performance, and developer productivity through scenario/MCP upgrades, client refactor, tooling enhancements, and UX improvements. Major outcomes include refactoring the MCP client to FastMCPClient, comprehensive scenario improvements with extended timeouts and improved error handling, and a broad tooling uplift (pytest, Ruff, Pyright) to raise code quality. Observability and resilience were enhanced via better agent resolution, return of trace IDs for remote job requests, and an improved HUD cancel workflow, together with Gemini CUA documentation. Supported by focused bug fixes (tests, API key validation, eval naming) that stabilized behavior and reduced regressions. These changes deliver tangible business value by enabling longer-running automation, faster debugging, and more predictable deployments.
January 2026
32 Commits • 8 Features
Jan 1, 2026January 2026 (2026-01) — hud-sdk: Strengthened reliability, performance, and developer productivity through scenario/MCP upgrades, client refactor, tooling enhancements, and UX improvements. Major outcomes include refactoring the MCP client to FastMCPClient, comprehensive scenario improvements with extended timeouts and improved error handling, and a broad tooling uplift (pytest, Ruff, Pyright) to raise code quality. Observability and resilience were enhanced via better agent resolution, return of trace IDs for remote job requests, and an improved HUD cancel workflow, together with Gemini CUA documentation. Supported by focused bug fixes (tests, API key validation, eval naming) that stabilized behavior and reduced regressions. These changes deliver tangible business value by enabling longer-running automation, faster debugging, and more predictable deployments.
December 2025
19 Commits • 6 Features
Dec 1, 2025For 2025-12, delivered a focused set of security, UX, configuration, and reliability enhancements across hud-sdk, driving business value through stronger security, improved developer experience, and improved reliability for long-running tasks.
19 Commits • 6 Features
Dec 1, 2025For 2025-12, delivered a focused set of security, UX, configuration, and reliability enhancements across hud-sdk, driving business value through stronger security, improved developer experience, and improved reliability for long-running tasks.
December 2025
November 2025
41 Commits • 16 Features
Nov 1, 2025November 2025 monthly summary for hud-evals/hud-sdk. Focused on delivering business value through OpenAI agent integration, architecture improvements, and CI/QA enhancements that increase reliability, scalability, and developer velocity. Highlights include OpenAI Agent with Responses API, BaseAgentConfig refactor, evaluation flow enhancements, browser environment readiness, and HUD Gateway-based custom agent example.
November 2025
41 Commits • 16 Features
Nov 1, 2025November 2025 monthly summary for hud-evals/hud-sdk. Focused on delivering business value through OpenAI agent integration, architecture improvements, and CI/QA enhancements that increase reliability, scalability, and developer velocity. Highlights include OpenAI Agent with Responses API, BaseAgentConfig refactor, evaluation flow enhancements, browser environment readiness, and HUD Gateway-based custom agent example.
October 2025
3 Commits • 2 Features
Oct 1, 2025October 2025 (2025-10) focused on reliability, maintainability, and developer workflow improvements in hud-sdk, delivering targeted fixes and infrastructure refinements that reduce debugging time, accelerate onboarding, and streamline CI/CD readiness. All work was centered on the hud-evals/hud-sdk repo with tangible business value through improved stability and faster delivery cycles.
3 Commits • 2 Features
Oct 1, 2025October 2025 (2025-10) focused on reliability, maintainability, and developer workflow improvements in hud-sdk, delivering targeted fixes and infrastructure refinements that reduce debugging time, accelerate onboarding, and streamline CI/CD readiness. All work was centered on the hud-evals/hud-sdk repo with tangible business value through improved stability and faster delivery cycles.
October 2025
September 2025
25 Commits • 8 Features
Sep 1, 2025September 2025 monthly summary for hud-sdk: Core deliverables: - Grounding integration introduced to enhance grounding references in agents, enabling more reliable context grounding and inference (Grounding #113). - Versioning support added across components to improve release discipline, traceability, and rollback capabilities. - OpenAI agent enhancements including improved parameter handling and documentation for GenericOpenAIChatAgent and MCPAgent, reducing misconfig risk and improving developer experience. - Documentation and onboarding refresh completed, covering quickstart, core concepts, agent intro, onboarding details, and introductory pages; added usage examples to demonstrate SDK usage. Stability and quality: - Codebase hygiene improvements through Ruff lint fixes and naming consistency, contributing to easier maintenance and fewer regressions. - Agent stability improvements addressing operational issues (issue #114). - Bug fixes: OpenAI chat agent image handling resolved; 2048 grader issues fixed. - Maintenance and tooling: dependency updates, removal of legacy files, and version bumps to streamline CI/CD and reduce technical debt. Impact and business value: - Faster onboarding for new contributors and customers due to clearer docs and examples. - More reliable agent behavior and ground-truth grounding, improving user experience and trust in the SDK. - Safer releases with versioning across components and enforced code quality, reducing post-release defects. Technologies/skills demonstrated: - Python, Ruff linting, static analysis; OpenAI agent framework; grounding references; versioning strategies; documentation and onboarding best practices; dependency management and CI/CD housekeeping.
September 2025
25 Commits • 8 Features
Sep 1, 2025September 2025 monthly summary for hud-sdk: Core deliverables: - Grounding integration introduced to enhance grounding references in agents, enabling more reliable context grounding and inference (Grounding #113). - Versioning support added across components to improve release discipline, traceability, and rollback capabilities. - OpenAI agent enhancements including improved parameter handling and documentation for GenericOpenAIChatAgent and MCPAgent, reducing misconfig risk and improving developer experience. - Documentation and onboarding refresh completed, covering quickstart, core concepts, agent intro, onboarding details, and introductory pages; added usage examples to demonstrate SDK usage. Stability and quality: - Codebase hygiene improvements through Ruff lint fixes and naming consistency, contributing to easier maintenance and fewer regressions. - Agent stability improvements addressing operational issues (issue #114). - Bug fixes: OpenAI chat agent image handling resolved; 2048 grader issues fixed. - Maintenance and tooling: dependency updates, removal of legacy files, and version bumps to streamline CI/CD and reduce technical debt. Impact and business value: - Faster onboarding for new contributors and customers due to clearer docs and examples. - More reliable agent behavior and ground-truth grounding, improving user experience and trust in the SDK. - Safer releases with versioning across components and enforced code quality, reducing post-release defects. Technologies/skills demonstrated: - Python, Ruff linting, static analysis; OpenAI agent framework; grounding references; versioning strategies; documentation and onboarding best practices; dependency management and CI/CD housekeeping.
August 2025
41 Commits • 15 Features
Aug 1, 2025August 2025 (2025-08) delivered a focused set of RL workflow enhancements, project hygiene improvements, and documentation updates for hud-sdk, aimed at accelerating RL experimentation, improving reliability, and reducing maintenance burden. The work spanned RL example migration, config and environment refactoring, scaffolding cleanup, and a suite of stability, linting, and docs improvements.
41 Commits • 15 Features
Aug 1, 2025August 2025 (2025-08) delivered a focused set of RL workflow enhancements, project hygiene improvements, and documentation updates for hud-sdk, aimed at accelerating RL experimentation, improving reliability, and reducing maintenance burden. The work spanned RL example migration, config and environment refactoring, scaffolding cleanup, and a suite of stability, linting, and docs improvements.
August 2025
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Quality Metrics
Correctness90.6%
Maintainability87.8%
Architecture87.6%
Performance85.4%
AI Usage33.0%
Skills & Technologies
Programming Languages
BashDockerfileGitJSONJavaScriptMarkdownPythonShellTOMLTypeScript
Technical Skills
AI Agent DevelopmentAI DevelopmentAI IntegrationAI Prompt EngineeringAI TrainingAI integrationAI/MLAPI Client ConfigurationAPI DevelopmentAPI IntegrationAPI designAPI developmentAPI integrationAgent DevelopmentAgent Environment Setup
Repositories Contributed To
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