rollback doc changes

Author: kevint-cerebras

docs/configuration/models.mdx

@@ -152,79 +152,8 @@ stagehand = Stagehand(
 ```
 </CodeGroup>
 </Tab>
-
-<Tab title="Cerebras">
-<CodeGroup>
-```typescript TypeScript
-import { Stagehand } from "@browserbasehq/stagehand";
-
-const stagehand = new Stagehand({
-  modelName: "cerebras-gpt-oss-120b",
-  modelClientOptions: {
-    apiKey: process.env.CEREBRAS_API_KEY,
-  },
-});
-```
-```python Python
-import os
-from stagehand import Stagehand
-
-stagehand = Stagehand(
-    model_name="cerebras-gpt-oss-120b",
-    model_api_key=os.getenv("CEREBRAS_API_KEY")
-)
-```
-</CodeGroup>
-</Tab>
 </Tabs>
 
-## Cerebras Models
-
-Cerebras provides high-speed inference with competitive pricing for Llama models. Their infrastructure is optimized for fast token generation, making them ideal for development and high-throughput automation tasks.
-
-### Available Models
-
-| Model | Size | Best For | Speed |
-|-------|------|----------|-------|
-| `cerebras-llama-3.3-70b` | 70B parameters | Complex reasoning, production | Fast |
-| `cerebras-llama-3.1-8b` | 8B parameters | Development, simple tasks | Very Fast |
-| `cerebras-qwen-3-32b` | 32B parameters | Balanced performance, general use | Fast |
-| `cerebras-qwen-3-235b-a22b-instruct-2507` | 235B parameters | Advanced reasoning, complex tasks | Medium |
-| `cerebras-qwen-3-235b-a22b-thinking-2507` | 235B parameters | Deep reasoning, problem solving | Medium |
-| `cerebras-qwen-3-coder-480b` | 480B parameters | Code generation, programming tasks | Medium |
-| `cerebras-llama-4-maverick-17b-128e-instruct` | 17B parameters | Instruction following, fast inference | Very Fast |
-| `cerebras-llama-4-scout-17b-16e-instruct` | 17B parameters | Scouting, exploration tasks | Very Fast |
-| `cerebras-gpt-oss-120b` | 120B parameters | Open source GPT alternative | Fast |
-
-### Cerebras Configuration
-
-Cerebras models use a custom client that handles the API authentication and model name transformation:
-
-```typescript
-import { Stagehand } from "@browserbasehq/stagehand";
-import { CerebrasClient } from "@browserbasehq/stagehand";
-
-const stagehand = new Stagehand({
-  llmClient: new CerebrasClient({
-    modelName: "cerebras-qwen-3-32b",
-    clientOptions: {
-      apiKey: process.env.CEREBRAS_API_KEY,
-    },
-    logger: (message) => console.log(message),
-  }),
-});
-```
-
-### Getting Started with Cerebras
-
-1. **Get API Key**: Sign up at [Cerebras Cloud](https://www.cerebras.net/) and obtain your API key
-2. **Set Environment Variable**: Add `CEREBRAS_API_KEY=your_key_here` to your `.env` file
-3. **Choose Model**: Select from the available models:
-   - **Fast & Simple**: `cerebras-llama-3.1-8b`, `cerebras-llama-4-scout-17b-16e-instruct`
-   - **Balanced**: `cerebras-qwen-3-32b`, `cerebras-llama-3.3-70b`
-   - **Advanced**: `cerebras-qwen-3-235b-a22b-instruct-2507`, `cerebras-qwen-3-coder-480b`
-4. **Configure Client**: Use the CerebrasClient for optimal performance
-
 ## Custom LLM Integration
 
 <Note>
@@ -320,7 +249,6 @@ For each provider, use their latest models that meet these requirements. Some ex
 - **OpenAI**: GPT-4 series or newer
 - **Anthropic**: Claude 3 series or newer 
 - **Google**: Gemini 2 series or newer
-- **Cerebras**: Llama 3.1+ series (both 8B and 70B models supported)
 - **Other providers**: Latest models with structured output support
 
 **Note**: Avoid base language models without structured output capabilities or fine-tuning for instruction following. When in doubt, check our [Model Evaluation](https://www.stagehand.dev/evals) page for up-to-date recommendations.