openai/openai-cookbook
Apr 2025 – Jun 2025
2 Months active
Languages Used
JSONMarkdownPython
Technical Skills
API IntegrationData AnalysisJupyter NotebooksLLM EvaluationPrompt EngineeringExample Development
josiah-openai
PROFILE
Josiah-openai
Developed a suite of Jupyter notebooks for the openai/openai-cookbook repository, focusing on practical evaluation workflows for large language models. The work centered on integrating the OpenAI Evals API to demonstrate prompt regression detection, bulk experimentation, and monitoring of model completions. Leveraging Python and JSON, the notebooks provided end-to-end examples for setting up evaluations, defining criteria, and running experiments, including structured outputs and tool calling with MCP. This approach established reproducible patterns for benchmarking and API capability validation, streamlining onboarding and decision-making for developers. The contributions emphasized API integration, data analysis, and prompt engineering without addressing bug fixes during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
2,531
Activity Months2
Your Network
481 peopleSame Organization
@openai.com359
Shared Repositories
122
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered practical OpenAI Evals example notebooks in the openai/openai-cookbook to demonstrate evaluating model capabilities with structured outputs, tool calling using MCP, and web search. This release includes a focused commit (7cbff65173e8cceeb1032720f583fd98b6580d9d) and provides ready-to-run patterns that accelerate benchmarking and reproducibility.
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered practical OpenAI Evals example notebooks in the openai/openai-cookbook to demonstrate evaluating model capabilities with structured outputs, tool calling using MCP, and web search. This release includes a focused commit (7cbff65173e8cceeb1032720f583fd98b6580d9d) and provides ready-to-run patterns that accelerate benchmarking and reproducibility.
June 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered OpenAI Evals Notebooks for Evaluation and Experimentation in openai/openai-cookbook. Implemented three notebooks demonstrating how to detect prompt regressions, perform bulk model/prompt experiments, and monitor stored completions using the OpenAI Evals API. The work includes practical eval setup, criteria definitions, and end-to-end run-experiments workflows to evaluate LLM integrations. No major bugs fixed this month. Impact: accelerates evaluation cycles, improves observability of model behavior, and enhances developer onboarding for evals. Technologies demonstrated: Python, Jupyter notebooks, OpenAI Evals API, notebook-based documentation.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered OpenAI Evals Notebooks for Evaluation and Experimentation in openai/openai-cookbook. Implemented three notebooks demonstrating how to detect prompt regressions, perform bulk model/prompt experiments, and monitor stored completions using the OpenAI Evals API. The work includes practical eval setup, criteria definitions, and end-to-end run-experiments workflows to evaluate LLM integrations. No major bugs fixed this month. Impact: accelerates evaluation cycles, improves observability of model behavior, and enhances developer onboarding for evals. Technologies demonstrated: Python, Jupyter notebooks, OpenAI Evals API, notebook-based documentation.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdownPython
Technical Skills
API IntegrationData AnalysisExample DevelopmentJupyter NotebooksLLM EvaluationMachine Learning EvaluationPrompt EngineeringPython Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline