---
title: "Fireworks AI integration for LuumenAI"
url: "https://www.luumen.ai/integrations/fireworks-ai/"
entity: SoftwareIntegration
category: "AI & automation"
audience: "SRE, DevOps, platform engineering, IT operations"
---

# Fireworks AI integration for LuumenAI

Check Fireworks models and deployments, then run inference as an approved step

## What LuumenAI can do with Fireworks AI

LuumenAI connects to Fireworks AI with an API token and exposes 9 tools (5 read-only · 4 write). Reads answer immediately; writes are shown as a plan and require approval by default, configurable per tool by an administrator.

## Key facts

- Authentication: API token
- Tools available: 9 tools (5 read-only · 4 write)
- Plan: available on all plans
- Category: AI & automation

## About Fireworks AI with LuumenAI

Connect Fireworks AI and Luumen can read your account's models and deployments on request — which deployment IDs exist, how a deployment is configured, whether a model resource is ready. Inference calls such as chat completions, embeddings, and reranking are prepared as a step you review before it runs. Authentication is by API key.

## Example tools

Read-only (5 in total):

- `FIREWORKS_AI_GET_DEPLOYMENT` — Return configuration and serving status for one Fireworks deployment without scaling or modifying it.
- `FIREWORKS_AI_GET_MODEL` — Return metadata and status for one model resource in a Fireworks account; this does not test whether the model can serve inference.
- `FIREWORKS_AI_LIST_ACCOUNTS` — Return one page of Fireworks accounts accessible to the API key so an agent can obtain account IDs for model and deployment discovery.
- `FIREWORKS_AI_LIST_DEPLOYMENTS` — Return one page of deployment resources in a Fireworks account for deployment ID discovery and serving-capacity and status inspection.
- `FIREWORKS_AI_LIST_MODELS` — Return one page of model resources in a Fireworks account for model-ID discovery and status inspection; availability for inference is not guaranteed.

Write and destructive (4 in total, approval required by default):

- `FIREWORKS_AI_CREATE_CHAT_COMPLETION` — Generate one non-streaming OpenAI-compatible chat completion from role-based messages using a caller-supplied Fireworks model or deployment ID.
- `FIREWORKS_AI_CREATE_EMBEDDINGS` — Create embedding vectors for one or more caller-provided inputs using a caller-supplied Fireworks embedding model.
- `FIREWORKS_AI_GENERATE_MODEL_RESPONSE` — Generate one non-streaming Responses API result, optionally continuing a stored response or using function, MCP, or SSE tools; storage is off by default.
- `FIREWORKS_AI_RERANK_DOCUMENTS` — Rank a provided document list by relevance to a query using an optional caller-supplied Fireworks reranker model.

## Frequently asked questions

### How does LuumenAI connect to Fireworks AI?

Authorize once with API token. Luumen lists the scopes each action needs before you approve the connection, and credentials never appear in the chat.

### Can LuumenAI change things in Fireworks AI on its own?

Read actions answer immediately. Anything that writes is shown as a plan and requires approval by default. Administrators configure that per tool.

### Is there an audit trail?

Every call to Fireworks AI — read or write, approved or declined — is recorded with the actor, the input, and the result.

Full page: https://www.luumen.ai/integrations/fireworks-ai/