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As a LangChain user streaming a tool-calling model, I expect each streamed chunk to expose structured `tool_call_chunk` content blocks so I can render or process tool calls live, instead of waiting for the final aggregated message. This adds `tool_call_streaming` to `ModelProfile` and uses it in the standard chat-model tool-calling tests. When a model profile opts in, `test_tool_calling` and `test_tool_calling_async` now validate that at least one streamed chunk includes a `tool_call_chunk` block via `content_blocks`, while preserving the existing final-message validation. This keeps the contract profile-gated so providers can opt in once their streaming chunk shape is verified. This PR opts in the providers verified by smoke testing with straightforward profile coverage: OpenAI, Anthropic, Fireworks, HuggingFace, OpenRouter, DeepSeek, and xAI. The generated profile artifacts are refreshed so runtime profiles expose the new capability flag. Perplexity Responses also passed the smoke test, but its current profile data is for the `sonar` family while the Responses smoke path used a routed model string. That profile strategy is left as follow-up. MistralAI currently streams `.tool_call_chunks`, but its content-block translator exposes a complete `tool_call` block instead of `tool_call_chunk`, so it also stays out of this flag until that integration is fixed.
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