Fireworks AI Docs llms.txt · AI Docs Browser · mdream [llms.txt Tools](https://mdream.dev/llms-txt/fireworks/llms-txt) # Fireworks AI Docs llms.txt docs.fireworks.ai/llms.txt [Raw llms.txt](https://docs.fireworks.ai/llms.txt) [Raw llms-full.txt](https://docs.fireworks.ai/llms-full.txt) Copy Markdown [](https://docs.fireworks.ai/llms.txt) llms.txt Docs Exporting Billing Metrics Usage & Cost Breakdown Service Accounts Custom SSO Managing users Create a Message Cancel Reinforcement Fine-tuning Job Create API Key Create Batch Inference Job Create Dataset Load LoRA Create Deployment Create dpo job Create Evaluation Job Eval Protocol Create Model Create Reinforcement Fine-tuning Job Create Reinforcement Fine-tuning Step Create Router Create secret Create Supervised Fine-tuning Job Create User Create embeddings Delete API Key Delete Batch Inference Job Delete Dataset Unload LoRA Delete Deployment Delete dpo job Delete Evaluation Job Delete Evaluator Delete Model Delete Reinforcement Fine-tuning Job Delete Reinforcement Fine-tuning Step Delete Response Delete Router Delete secret Delete Supervised Fine-tuning Job Execute reinforcement fine tuning step Generate an image with FLUX.1 [schnell] FP8 Generate or edit an image with FLUX.1 Kontext Get Account Get Batch Inference Job Get billing summary information for an account Get Account Usage Get Dataset Get Dataset Download Endpoint Get Dataset Upload Endpoint Get LoRA Get Deployment Get Deployment Shape Get Deployment Shape Version Get dpo job Get dpo job metrics file endpoint Get Evaluation Job Get Evaluation Job execution logs (stream log endpoint + tracing IDs). Create Evaluator Get Evaluator Build Log Endpoint Get Evaluator Source Code Endpoint Create Evaluator Get generated image from FLUX.1 Kontext Get Model Get Model Download Endpoint Get Model Upload Endpoint Get Quota Get Reinforcement Fine-tuning Job Get Reinforcement Fine-tuning Step Get Response CRUD APIs for routers. Get Router Get Secret Get Supervised Fine-tuning Job Get User Introduction List Accounts List API Keys List Batch Inference Jobs List Datasets List LoRAs List Deployment Shapes Versions List Deployments List dpo jobs List Evaluation Jobs List Evaluators List Models List Quotas List Reinforcement Fine-tuning Jobs List Reinforcement Fine-tuning Steps List Responses List Routers List Secrets List Supervised Fine-tuning Jobs List Users Create Chat Completion Create Completion Create Response Prepare Model for different precisions Rerank documents Resume Dpo Job Resume Reinforcement Fine-tuning Job Resume Rlor Trainer Job Resume Supervised Fine-tuning Job Scale Deployment to a specific number of replicas or to zero Undelete Deployment Update Dataset Update LoRA Update Deployment Update Evaluator Update Model Update Quota Update Router Update secret Update User Get Dataset Upload Endpoint Validate Dataset Upload Get Evaluator Validate Model Upload Autoscaling Performance benchmarking Client-side performance optimization Exporting Metrics Regions Reserved capacity Routers Speculative Decoding Claude Code Codex Cursor Deep Agents Microsoft Foundry OpenCode Overview Pi VS Code Agent Frameworks Microsoft Foundry How Setup Works Operational Model Bring Your Own Cluster Development Setup with Fireworks Docs MCP MLOps & Observability Cookbooks Courses How do I close my Fireworks.ai account? I have multiple Fireworks accounts. When I try to login with Google on Fireworks' web UI, I'm getting signed into the wrong account. How do I fix this? What email does GitHub authentication use? What email does LinkedIn authentication use? What should I do if I can't access my company account after being invited when I already have a personal account? Are there discounts for bulk usage? Are there extra fees for serving fine-tuned models? How does billing and credit usage work? How many tokens per image? How much does Fireworks cost? Is prompt caching billed differently for serverless models? How do credits work? Why might my account be suspended even with remaining credits? Are there any quotas for serverless? Do you provide notice before removing model availability? Do you support Auto Scaling? How does autoscaling affect my costs? How does billing and scaling work for on-demand GPU deployments? How does billing work for on-demand deployments? How does the system scale? Are there SLAs for serverless? What are the rate limits for on-demand deployments? What factors affect the number of simultaneous requests that can be handled? What’s the supported throughput? Why am I experiencing request timeout errors and slow response times with serverless LLM models? Does Fireworks support custom base models? Does the API support batching and load balancing? FLUX image generation How do I control output image sizes when using SDXL ControlNet? How to check if a model is available on serverless? There’s a model I would like to use that isn’t available on Fireworks. Can I request it? What factors affect the number of simultaneous requests that can be handled? Train from Your Coding Agent Choose a Training Path Training Overview Customer-Managed Encryption Keys (CMEK) Remote Environment Setup Debug SFT tokenization Deploying Fine Tuned Models Preference Optimization with DPO or ORPO Agent Tracing Evaluators Supervised Fine Tuning - Text Supervised Fine Tuning - Vision Training Overview Basics Managed Fine-Tuning Overview Monitor Training Price comparison vs Tinker Parameter Tuning Single-Turn Training Quickstart Remote Agent Quickstart Overview RFT Cost Planning RFT parameters reference Ledger & Debugging for RL Rollouts Incremental Snapshots (ARC2) RL Rollouts with Your Own Trainer Secure Training Overview Choose Serverless or Dedicated Training Checkpoints and Resume Cookbook: Distillation Cookbook: DPO The Cookbook Cookbook Reference Cookbook: Reinforcement Learning Cookbook: SFT Weight sync Dedicated Training Introduction Loss Functions Dedicated Training Quickstart Cleanup and Teardown DeploymentManager (Compatibility) DeploymentSampler FireworksClient FiretitanServiceClient & TrainingClient TrainerJobManager (Compatibility) WeightSyncer (Legacy) Saving and Loading Serverless Training Dedicated Training and Sampling Training Shapes Vision Inputs Training Prerequisites & Validation Using Secrets Warm Start from Fine-Tuned Models Training Guide: UI Weighted Training Fire Pass Setup Per-User Usage Limits Concepts Glossary Build with Fireworks AI Deployments Quickstart Serverless Quickstart Batch API Completions API Tool Calling Inference Error Codes Deployments Using predicted outputs Prompt caching Embeddings & Reranking Text Models Vision Models Account quotas Reasoning Which model should I use? Reliability and Error Handling Responses API Inference for RL Rollouts Audit & Access Logs Zero Data Retention Data Security Understanding LoRA performance Video & Audio Inputs Kimi K2 family Quantization Custom Models Upload via REST API Serverless Overview Serverless Pricing Serverless Rate Limits Serverless Serving Paths Structured Outputs Anthropic compatibility firectl account get firectl account list firectl api-key create firectl api-key delete firectl api-key get firectl api-key list firectl audit-logs list Authentication firectl batch-inference-job create firectl batch-inference-job delete firectl batch-inference-job get firectl batch-inference-job list firectl billing export-metrics firectl billing get-usage firectl billing list-invoices firectl billing notification-settings firectl billing notification-settings get firectl billing notification-settings update firectl credit-redemption list firectl credit-redemption redeem firectl dataset create firectl dataset delete firectl dataset download firectl dataset get firectl dataset list firectl dataset update firectl deployed-model get firectl deployed-model list firectl deployed-model update firectl deployment create firectl deployment delete firectl deployment get firectl deployment list firectl deployment scale firectl deployment-shape-version get firectl deployment-shape-version list firectl deployment undelete firectl deployment update firectl dpo-job cancel firectl dpo-job create firectl dpo-job delete firectl dpo-job export-metrics firectl dpo-job get firectl dpo-job list firectl dpo-job resume firectl evaluator-revision alias firectl evaluator-revision delete firectl evaluator-revision get firectl evaluator-revision list firectl identity-provider create firectl identity-provider get firectl identity-provider list firectl model create firectl model delete firectl model download firectl model get firectl model list firectl model load-lora firectl model prepare firectl model unload-lora firectl model update firectl model upload firectl quota get firectl quota list firectl quota update firectl reinforcement-fine-tuning-job cancel firectl reinforcement-fine-tuning-job create firectl reinforcement-fine-tuning-job delete firectl reinforcement-fine-tuning-job get firectl reinforcement-fine-tuning-job list firectl reinforcement-fine-tuning-job resume firectl reinforcement-fine-tuning-job update firectl reservation get firectl reservation list firectl rlor-trainer-job cancel firectl rlor-trainer-job create firectl rlor-trainer-job delete firectl rlor-trainer-job get firectl rlor-trainer-job list firectl router create firectl router delete firectl router get firectl router list firectl router update firectl secret create firectl secret delete firectl secret get firectl secret list firectl secret update firectl set-api-key firectl supervised-fine-tuning-job cancel firectl supervised-fine-tuning-job create firectl supervised-fine-tuning-job delete firectl supervised-fine-tuning-job get firectl supervised-fine-tuning-job list firectl training-shape clone firectl training-shape create firectl training-shape delete firectl training-shape get firectl training-shape list firectl training-shape update firectl training-shape-version get firectl training-shape-version list firectl training-shape-version update firectl upgrade firectl user create firectl user delete firectl user get firectl user list firectl user update firectl version firectl whoami Getting started OpenAI compatibility Python SDK Changelog OpenAPI Specs merged.openapi gateway.openapi text-completion.openapi responses.openapi openapi gateway-extra.openapi anthropic-messages.openapi Optional Demos ## What is Fireworks AI Docs's llms.txt? Fireworks AI Docs publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Fireworks AI Docs offers and where to find details. Pass Spec 3 Sections 393 Links 55.4 KB Size ~14.2k Tokens Sections: Docs · OpenAPI Specs · Optional ## Add Fireworks AI Docs Docs to Your AI Assistant Select your tool to see how to add Fireworks AI Docs's llms.txt as a documentation source. Cursor Windsurf Claude Code ChatGPT Zed Copilot 1. 1 Open any chat or composer panel 2. 2 Type @Docs and select "Add new doc" 3. 3 Paste the URL: https://docs.fireworks.ai/llms.txt 4. 4 Wait for the green dot (indexing complete) 5. 5 Reference @Docs in chat when asking about Fireworks AI Docs Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too. ## Spec Compliance 8 notes ## Frequently Asked Questions Where is Fireworks AI Docs's llms.txt file? Fireworks AI Docs publishes its llms.txt at https://docs.fireworks.ai/llms.txt. This file provides a structured, markdown-formatted index of Fireworks AI Docs's documentation that AI systems can consume to understand the project's APIs, guides, and references. How do I use Fireworks AI Docs's llms.txt with AI coding assistants? Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Fireworks AI Docs's documentation so it can provide better code suggestions and answers about Fireworks AI Docs. What does Fireworks AI Docs's llms.txt contain? Fireworks AI Docs's llms.txt contains 3 sections and 393 documentation links in 55.4 KB (~14.2k tokens). Key sections include Docs, OpenAPI Specs, Optional. How many tokens does Fireworks AI Docs's llms.txt use? The concise llms.txt index is approximately 14.2k tokens (55.4 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline. Can I generate an llms.txt for my own project? Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator. ## Browse More llms.txt Files [Directus Documentation Directus is a real-time API and no-code Data Studio for managing any SQL database. It provides REST and GraphQL APIs, granular access control, authentication, file storage, automations, realtime via WebSockets, analytics dashboards, AI integration, and a full extension system. 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