docs(components): fix LLM & embedder model IDs and TS support lists (#5838)
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@@ -98,7 +98,7 @@ Here's a comprehensive list of all parameters that can be used across different
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| `max_tokens` | Tokens to generate | All |
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| `top_p` | Probability threshold for nucleus sampling | All |
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| `top_k` | Number of highest probability tokens to keep | All |
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| `http_client_proxies`| Allow proxy server settings | AzureOpenAI |
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| `http_client_proxies`| Allow proxy server settings | All |
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| `models` | List of models | Openrouter |
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| `route` | Routing strategy | Openrouter |
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| `openrouter_base_url`| Base URL for Openrouter API | Openrouter |
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@@ -110,7 +110,7 @@ Here's a comprehensive list of all parameters that can be used across different
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| `deepseek_base_url` | Base URL for DeepSeek API | DeepSeek |
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| `xai_base_url` | Base URL for XAI API | XAI |
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| `sarvam_base_url` | Base URL for Sarvam API | Sarvam |
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| `reasoning_effort` | Reasoning level (low, medium, high) | Sarvam |
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| `reasoning_effort` | Reasoning level (low, medium, high) | All |
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| `frequency_penalty` | Penalize frequent tokens (-2.0 to 2.0) | Sarvam |
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| `presence_penalty` | Penalize existing tokens (-2.0 to 2.0) | Sarvam |
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| `seed` | Seed for deterministic sampling | Sarvam |
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