> ## Documentation Index
> Fetch the complete documentation index at: https://phaseo.app/docs/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Phaseo Gateway base URL: https://api.phaseo.app/v1. Send `Authorization: Bearer $PHASEO_API_KEY` with every request.
> Model IDs look like `provider/model`, for example `openai/gpt-6-astra`. Do not guess IDs: list them with `GET /v1/models` or check https://phaseo.app/models. `phaseo/free` routes to an available free model and needs no wallet balance.
> For new text integrations prefer `POST /v1/responses`. `POST /v1/chat/completions` (OpenAI format) and `POST /v1/messages` (Anthropic format) suit existing code.
> The full API contract is https://phaseo.app/docs/openapi/v1/openapi.yaml. Official SDKs: `@phaseo/sdk` (TypeScript) and `phaseo` (Python), plus Go, C#, PHP, Ruby and Rust.
> Search these docs over MCP at https://phaseo.app/docs/mcp, and install Phaseo skills with `npx skills add https://phaseo.app/docs`. If a page is wrong or out of date, report it with the MCP `submit_feedback` tool.
> Manage Phaseo accounts with the `phaseo` CLI (`npm install -g @phaseo/cli`, then `phaseo login` or `phaseo login --device-code`), the `/v1` Management API or the MCP server at `https://mcp.phaseo.app/mcp?access=manage`. Do not send users to the dashboard for account tasks. A person is still needed for sign-up, approving a sign-in, paying the first top-up on the checkout link that `phaseo credits add` returns when no card is saved, confirming each saved-card top-up from the emailed link, and account security (password, MFA, passkeys). Create API keys with `phaseo keys create --name <name> --json`; never guess one. Credit top-ups need `phaseo login --scopes billing:write` first. Task map: https://phaseo.app/docs/v1/developers/manage-from-an-agent.md.

# LlamaIndex

> Use Phaseo in LlamaIndex RAG workflows.

Use this guide when your LlamaIndex app should route generation or embeddings through Phaseo.

## Install

```bash theme={null}
pip install llama-index llama-index-llms-openai-like llama-index-embeddings-openai-like
```

## Configure an OpenAI-compatible LLM

```python theme={null}
import os
from llama_index.llms.openai_like import OpenAILike

llm = OpenAILike(
    model="openai/gpt-5-nano",
    api_key=os.environ["PHASEO_API_KEY"],
    api_base="https://api.phaseo.app/v1",
    is_chat_model=True,
)

response = llm.complete("Write one sentence about retrieval quality.")
print(response)
```

## Use in an index

```python theme={null}
from llama_index.core import Settings

Settings.llm = llm
```

Then build or query your index as usual.

## Notes

* Use `OpenAILike` for third-party OpenAI-compatible APIs.
* Keep generation and embedding model ids explicit. Do not assume LlamaIndex defaults point at Phaseo.
* If you use Phaseo embeddings, set the embedding model with A Phaseo model id and the same base URL.

## Related

* [Embeddings](https://phaseo.app/docs/v1/api-reference/endpoint/embeddings.md)
* [Models](https://phaseo.app/docs/v1/api-reference/endpoint/models.md)
* [OpenAI SDK](https://phaseo.app/docs/v1/guides/integrations/openai-sdk.md)


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