63 lines
2.1 KiB
Plaintext
63 lines
2.1 KiB
Plaintext
---
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title: xAI (Grok)
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slug: guides/server/providers/xai
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---
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<Tip>To enable xAI (Grok) models with Letta, set `XAI_API_KEY` in your environment variables. </Tip>
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## Enabling xAI (Grok) models
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To enable the xAI provider, set your key as an environment variable:
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```bash
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export XAI_API_KEY="..."
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```
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Now, xAI models will be enabled with you run `letta run` or start the Letta server.
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### Using the `docker run` server with xAI
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To enable xAI models, simply set your `XAI_API_KEY` as an environment variable:
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```bash
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# replace `~/.letta/.persist/pgdata` with wherever you want to store your agent data
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docker run \
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-v ~/.letta/.persist/pgdata:/var/lib/postgresql/data \
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-p 8283:8283 \
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-e XAI_API_KEY="your_xai_api_key" \
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letta/letta:latest
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```
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<Accordion icon="square-terminal" title="CLI (pypi only)">
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### Using `letta run` and `letta server` with xAI
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To chat with an agent, run:
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```bash
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export XAI_API_KEY="sk-ant-..."
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letta run
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```
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This will prompt you to select an xAI model.
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```
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? Select LLM model: (Use arrow keys)
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» letta-free [type=openai] [ip=https://inference.letta.com]
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grok-2-1212 [type=xai] [ip=https://api.x.ai/v1]
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```
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To run the Letta server, run:
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```bash
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export XAI_API_KEY="..."
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letta server
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```
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To select the model used by the server, use the dropdown in the ADE or specify a `LLMConfig` object in the Python SDK.
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</Accordion>
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## Configuring xAI (Grok) models
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When creating agents, you must specify the LLM and embedding models to use. You can additionally specify a context window limit (which must be less than or equal to the maximum size). Note that xAI does not have embedding models, so you will need to use another provider.
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```python
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from letta_client import Letta
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client = Letta(base_url="http://localhost:8283")
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agent = client.agents.create(
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model="xai/grok-2-1212",
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embedding="openai/text-embedding-3-small",
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# optional configuration
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context_window_limit=30000
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)
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```
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xAI (Grok) models have very large context windows, which will be very expensive and high latency. We recommend setting a lower `context_window_limit` when using xAI (Grok) models.
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