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Standardized Reasoning Content: A first look at using OpenAI’s gpt-oss on multiple providers using any-llm
After OpenAI’s ChatGPT release, the default standard for communication was the OpenAI Completion API. However, with the new “reasoning models”, a critical piece of the output isn’t handled by that OpenAI specification, leaving each provider to decide how to handle the new model capabilities.
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Standardized Reasoning Content: A first look at using OpenAI’s gpt-oss on multiple providers using any-llm
After OpenAI’s ChatGPT release, the default standard for communication was the OpenAI Completion API. However, with the new “reasoning models”, a critical piece of the output isn’t handled by that OpenAI specification, leaving each provider to decide how to handle the new model capabilities.
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Standardized Reasoning Content: A first look at using OpenAI’s gpt-oss on multiple providers using any-llm
After OpenAI’s ChatGPT release, the default standard for communication was the OpenAI Completion API. However, with the new “reasoning models”, a critical piece of the output isn’t handled by that OpenAI specification, leaving each provider to decide how to handle the new model capabilities.
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- descriptionAfter OpenAI’s ChatGPT release, the default standard for communication was the OpenAI Completion API. However, with the new “reasoning models”, a critical piece of the output isn’t handled by that OpenAI specification, leaving each provider to decide how to handle the new model capabilities.
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- og:descriptionAfter OpenAI’s ChatGPT release, the default standard for communication was the OpenAI Completion API. However, with the new “reasoning models”, a critical piece of the output isn’t handled by that OpenAI specification, leaving each provider to decide how to handle the new model capabilities.
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- twitter:descriptionAfter OpenAI’s ChatGPT release, the default standard for communication was the OpenAI Completion API. However, with the new “reasoning models”, a critical piece of the output isn’t handled by that OpenAI specification, leaving each provider to decide how to handle the new model capabilities.
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