> For the complete documentation index, see [llms.txt](https://docs.fastrouter.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fastrouter.ai/integrations/coding-assistants.md).
# Coding Assistants
Every coding assistant below speaks the OpenAI-compatible API, so pointing it at FastRouter takes two fields: a base URL and a key. Once traffic routes through FastRouter you get:
* **100+ models** from OpenAI, Anthropic, Google, xAI, Meta, Groq, and Mistral behind one endpoint, including coding models like [Grok Code Fast 1](https://fastrouter.ai/models/x-ai/grok-code-fast-1). Swap models by changing one slug, no re-auth.
* **Observability** on every request: cost, tokens, latency, and which model ran, visible in real time in your [dashboard](https://dashboard.fastrouter.ai/).
* **Reliability** through automatic failover across providers, response caching, and intelligent routing.
* **Governance** with per-key budgets, rate limits, model restrictions, role-based access, and project isolation.
The setup is the similar everywhere: paste your FastRouter key, set the base URL, enter a model slug in `provider/model-name` format. Pick your tool below for the exact steps.
---
# 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.fastrouter.ai/integrations/coding-assistants.md?ask=&goal=
```
`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.