
Worked on the meta-llama/llama-stack repository to address backward compatibility in the OpenAI Inference Adapter by implementing a fix that translates the deprecated max_tokens parameter to max_completion_tokens. This solution, developed using Python and focused on backend development and API integration, ensures that existing OGX behavior is preserved while guiding users toward updated parameters for newer reasoning models. The approach included adding deprecation warnings, maintaining input integrity by avoiding mutation of original parameters, and validating the fix with comprehensive unit tests. This work reduced runtime errors and support overhead, improving reliability for developers migrating to newer OpenAI model families.
June 2026 monthly summary for meta-llama/llama-stack. Focused on delivering a backward-compatibility fix in the OpenAI Inference Adapter to translate deprecated max_tokens to max_completion_tokens and emit a deprecation warning. This change preserves existing OGX behavior while guiding users toward updated parameters for newer reasoning models, preventing runtime errors on newer model families.
June 2026 monthly summary for meta-llama/llama-stack. Focused on delivering a backward-compatibility fix in the OpenAI Inference Adapter to translate deprecated max_tokens to max_completion_tokens and emit a deprecation warning. This change preserves existing OGX behavior while guiding users toward updated parameters for newer reasoning models, preventing runtime errors on newer model families.

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