[Doc] gpt-oss with function calling

[aarnphm]

based from vllm-project/vllm#22386

[gemini-code-assist]

Summary of Changes

Hello @aarnphm, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request updates the OpenAI/GPT-OSS.md documentation to include details on how to enable and utilize function calling capabilities with GPT-OSS models in vLLM. It provides specific command-line arguments for serving these models with function calling support and updates the feature compatibility matrix to reflect this new functionality.

Highlights

• Function Calling Documentation: Added a new section detailing how to enable function calling for GPT-OSS models.
• vLLM Serve Command Example: Provided a concrete vLLM serve command demonstrating the necessary flags (--tool-call-parser, --reasoning-parser, --enable-auto-tool-choice) for function calling.
• Compatibility Matrix Update: Updated the feature compatibility table to indicate that both Chat Completion API and Chat Completion API with Streaming now support function calling.

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[gemini-code-assist]

Code Review

This pull request updates the documentation for gpt-oss to include instructions for using function calling with the Chat Completion API. The changes are clear and well-placed. I've found a minor formatting inconsistency in the updated feature support table and provided a suggestion to fix it. Overall, this is a great addition to the documentation.

[gemini-code-assist]

There are some extra spaces after the ✅ emojis in these lines. For consistency with the rest of the table, it would be best to remove them.

Suggested change

	| Chat Completion API | ✅ | ✅ | ❌ | ❌ | ✅ |
	| Chat Completion API with Streaming | ✅ | ✅ | ❌ | ❌ | ✅ |
	| Chat Completion API | ✅ | ✅ | ❌ | ❌ | ✅ |
	| Chat Completion API with Streaming | ✅ | ✅ | ❌ | ❌ | ✅ |

[heheda12345]

@aarnphm Can you fix it?

[heheda12345]

Thanks! I'll merge it after vllm-project/vllm#22386