> For the complete documentation index, see [llms.txt](https://docs.distribute.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.distribute.ai/distribute-for-enterprise/enterprise-inference-api/async-api/chat.md).

# Chat

The Asynchronous Chat Completion API allows you to submit chat-based LLM tasks that are processed in the background and retrieved later. Ideal for high-latency or large-scale workloads, this custom implementation lets you queue chat requests via a `POST` endpoint and retrieve results using a unique task ID. It supports robust job tracking, delayed responses, and retry-safe workflows—making it well-suited for batch processing, long-running prompts, and serverless environments where real-time responses aren't required.

{% content-ref url="/pages/FqXZBVvFlsSdrEgmZy9Y" %}
[Chat Create](/distribute-for-enterprise/enterprise-inference-api/async-api/chat/chat-create.md)
{% endcontent-ref %}

{% content-ref url="/pages/fLEF8XhUOyUVSt1K4Bnw" %}
[Chat Result](/distribute-for-enterprise/enterprise-inference-api/async-api/chat/chat-result.md)
{% endcontent-ref %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.distribute.ai/distribute-for-enterprise/enterprise-inference-api/async-api/chat.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.