
Tony Hrule integrated OpenAI’s built-in tools into the TLMResponses component of the cleanlab/cleanlab-tlm repository, enabling seamless support for file and web search tool calls within language model workflows. He refactored prompt formatting logic to accommodate both the Chat Completions API and the Responses API, ensuring robust handling of tool calls and responses. Using Python and YAML, Tony added necessary dependencies and improved the reliability of response string formatting, addressing edge cases in tool response parsing. His work focused on API and LLM integration, enhancing the system’s flexibility and robustness, though the scope was limited to a single feature over one month.

September 2025: Implemented OpenAI built-in tools integration in TLMResponses for cleanlab/cleanlab-tlm, refactored prompt formatting to support both Chat Completions API and Responses API, added necessary dependencies, and improved robustness of response string formatting to reliably handle tool calls and tool responses.
September 2025: Implemented OpenAI built-in tools integration in TLMResponses for cleanlab/cleanlab-tlm, refactored prompt formatting to support both Chat Completions API and Responses API, added necessary dependencies, and improved robustness of response string formatting to reliably handle tool calls and tool responses.
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