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docs: update for pipecat PR #4688 #886

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6 changes: 3 additions & 3 deletions api-reference/server/services/llm/nebius.mdx
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Expand Up @@ -50,7 +50,7 @@ Before using Nebius LLM services, you need:

1. **Nebius Account**: Sign up at [Nebius](https://nebius.com/)
2. **API Key**: Generate an API key from the Token Factory dashboard
3. **Model Selection**: Choose from available models (default: `openai/gpt-oss-120b`)
3. **Model Selection**: Choose from available models (default: `Qwen/Qwen3-30B-A3B-Instruct-2507`)

### Required Environment Variables

Expand Down Expand Up @@ -80,7 +80,7 @@ Runtime-configurable settings passed via the `settings` constructor argument usi

| Parameter | Type | Default | Description |
| ------------------- | ------- | ----------------------- | -------------------------------------------------------------------------------------- |
| `model` | `str` | `"openai/gpt-oss-120b"` | Nebius model identifier. Check Nebius Token Factory for available models. |
| `model` | `str` | `"Qwen/Qwen3-30B-A3B-Instruct-2507"` | Nebius model identifier. Check Nebius Token Factory for available models. |
| `temperature` | `float` | `NOT_GIVEN` | Sampling temperature (0.0 to 2.0). Lower values are more focused, higher are creative. |
| `max_tokens` | `int` | `NOT_GIVEN` | Maximum tokens to generate. |
| `top_p` | `float` | `NOT_GIVEN` | Top-p (nucleus) sampling (0.0 to 1.0). Controls diversity of output. |
Expand Down Expand Up @@ -115,7 +115,7 @@ from pipecat.services.nebius import NebiusLLMService
llm = NebiusLLMService(
api_key=os.getenv("NEBIUS_API_KEY"),
settings=NebiusLLMService.Settings(
model="openai/gpt-oss-120b",
model="Qwen/Qwen3-30B-A3B-Instruct-2507",
temperature=0.7,
max_tokens=1000,
),
Expand Down
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