docs(components): fix LLM & embedder model IDs and TS support lists (#5838)

This commit is contained in:
Kartik
2026-06-27 18:42:02 +05:30
committed by GitHub
parent 4b39d01ccb
commit e9c930c430
10 changed files with 20 additions and 14 deletions
+2 -2
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@@ -98,7 +98,7 @@ Here's a comprehensive list of all parameters that can be used across different
| `max_tokens` | Tokens to generate | All |
| `top_p` | Probability threshold for nucleus sampling | All |
| `top_k` | Number of highest probability tokens to keep | All |
| `http_client_proxies`| Allow proxy server settings | AzureOpenAI |
| `http_client_proxies`| Allow proxy server settings | All |
| `models` | List of models | Openrouter |
| `route` | Routing strategy | Openrouter |
| `openrouter_base_url`| Base URL for Openrouter API | Openrouter |
@@ -110,7 +110,7 @@ Here's a comprehensive list of all parameters that can be used across different
| `deepseek_base_url` | Base URL for DeepSeek API | DeepSeek |
| `xai_base_url` | Base URL for XAI API | XAI |
| `sarvam_base_url` | Base URL for Sarvam API | Sarvam |
| `reasoning_effort` | Reasoning level (low, medium, high) | Sarvam |
| `reasoning_effort` | Reasoning level (low, medium, high) | All |
| `frequency_penalty` | Penalize frequent tokens (-2.0 to 2.0) | Sarvam |
| `presence_penalty` | Penalize existing tokens (-2.0 to 2.0) | Sarvam |
| `seed` | Seed for deterministic sampling | Sarvam |