Together AI Docs llms.txt · AI Docs Browser · mdream

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# Together AI Docs llms.txt

docs.together.ai/llms.txt

[Raw llms.txt](https://docs.together.ai/llms.txt) [Raw llms-full.txt](https://docs.together.ai/llms-full.txt)

Copy Markdown [](https://docs.together.ai/llms.txt)

llms.txt

Docs

Manage your account

Agent integrations

Coding agent setup

Agno

Overview

AI evaluations UI

Build an AI search engine

Build an interactive AI tutor with Llama 3.1

Authentication

AutoGen(AG2)

Credits

Payment methods & invoices

Billing troubleshooting

Usage limits & analytics

Build a RAG workflow

Changelog

Set up OIDC authentication

Cluster storage

Composio

Conditional workflow

Quickstart

CrewAI

Build an AI data analyst

Overview

Run an A/B test

Concepts

Choose a deployment profile

Upload a fine-tuned model

Manage endpoints and deployments

Migrate from v1

Supported models

Monitor endpoints and deployments

Overview

Pricing

Quickstart

Send requests

Overview

Configure autoscaling

Run a shadow experiment

Split traffic across deployments

Image generation with Flux2

Video generation with Wan 2.1

DeepSeek V4 Pro quickstart

Jig CLI

Queue API

Sprocket SDK

Deprecations

DSPy

Error codes

Supported models

Bring your own model

Data preparation

Deploy a fine-tuned model

Early stopping

Function-calling fine-tuning

LoRA vs. full fine-tuning

Monitor a fine-tuning job

Overview

Preference fine-tuning

Pricing

Fine-tuning quickstart

Reasoning fine-tuning

Supervised fine-tuning

Supported models

Troubleshooting fine-tuning jobs

Vision fine-tuning

GLM-5.2 quickstart

GPT-OSS quickstart

API & integrations

Billing & pricing

Cluster management

Overview

Quickstart

Overview

Health checks

Build a lovable clone with Kimi K2

Build a coding agent

Build a phone voice agent with Together AI

Build an audio transcription app with Whisper

Implement contextual RAG from Anthropic

Improve search with rerankers

Configure Cline with Together AI models

Configure OpenClaw with Together AI models

Configure OpenCode with Together AI models

Configure Qwen Code with Together AI models

Configure Claude Code, Codex, and ChatGPT with Together AI models

IAM model

Manage batch jobs

Overview

Run a batch job

Log probabilities

Send chat completions

Parameters

Reasoning

Structured outputs

Generate embeddings

Retrieval-augmented generation

Rerank

Agentic function calling patterns

Function calling best practices

Function calling patterns

Call functions in parallel

Call functions

Text-to-image generation

Image generation parameters

Image-to-image generation

OpenAI compatibility

Overview

Provisioned throughput

Recommended models

Third-party integrations

Generate speech

Text-to-speech streaming

WebSocket API

Advanced transcription options

Transcribe audio

Streaming transcription

Audio translation

Voice activity detection

Audio input for videos

Generate videos

Video generation parameters

Reference images and keyframes

Vision-language function calling

Vision input modes

Use image inputs

Structured extraction with vision

Iterative workflow

Kimi K2 quickstart

Kimi K2 Thinking quickstart

Kimi K2.6 quickstart

Queue GPU jobs with Kueue

LangGraph

Together mixture of agents (MoA)

Run nanochat on instant clusters

Quickstart: Next.js

Node repair

Build an open source NotebookLM

Organizations

Parallel workflow

Privacy and security

Projects

PydanticAI

Python v2 SDK Migration Guide

Quickstart

FLUX.2 quickstart

FLUX Kontext quickstart

Quickstart: How to do OCR

Retrieval-augmented generation (RAG) quickstart

Hugging Face Inference quickstart

Roles & permissions (RBAC)

Seedance 2.0 quickstart

Sequential workflow

Available models

Overview

Rate limits

Slurm management system

Slurm configuration

Slurm startup scripts

Single sign-on (SSO)

Support

Code interpreter

Code sandbox

Architecture

Mastra quickstart

Vercel AI SDK quickstart

Gang-schedule GPU jobs with Volcano

Wan 2.7 quickstart

Agent workflows

Together Cookbooks & Example Apps

Build a real-time image generator with Flux and Together AI

Overview

Python Library

Create audio generation request

Create realtime text-to-speech

Create audio transcription request

Real-time audio transcription via WebSocket

Create audio translation request

Cancel a batch job

Create a batch job

Get a batch job

List batch jobs

Create chat completion

Clusters

Endpoints

Endpoints

Evals

Files

Fine-tuning

Get started

Jig CLI reference

Models

Models

Telemetry

Whoami

Create a GPU cluster

Delete GPU cluster by cluster ID

Get GPU cluster by cluster ID

List all GPU clusters

List regions and corresponding supported driver versions

Update a GPU cluster

Create a shared volume

Delete a shared volume by ID

Get a shared volume by ID

List all shared volumes

Update a shared volume

Create completion

Create an evaluation job

Create video

Sprocket SDK reference

Delete a file

Delete a fine-tune job

Create a new deployment

Delete a deployment

Get a deployment by ID or name

Get the list of deployments

Get logs for a deployment

Create a new secret

Delete a secret

Get a secret by ID or name

Get the list of project secrets

Update a secret

Download a file

Create a new volume

Delete a volume

Get a volume by ID or name

Get the list of project volumes

Update a volume

Update a deployment

Create an A/B experiment

Delete an A/B experiment

Get an A/B experiment

List A/B experiments

Update an A/B experiment

Add a deployment adapter

Get a deployment adapter

List deployment adapters

Remove a deployment adapter

Update a deployment adapter

Get a model configuration

List model configurations

Create a deployment

Delete a deployment

Get a deployment

List deployments

Update a deployment

Get endpoint analytics

Create an endpoint

Delete an endpoint

Get an endpoint

List endpoints

List endpoint events

List organization endpoints

Update an endpoint

Get an inference instance type

List inference instance types

Create a remote model upload

Get a remote model upload

List remote model uploads

List remote model upload events

Create a model

Delete a model

Get a model

List project models

List model files

List organization models

List model revisions

Update a model

Get a placement profile

List placement profiles

Create a shadow experiment target

Delete a shadow experiment target

Get a shadow experiment target

List shadow experiment targets

Update a shadow experiment target

Create a shadow experiment

Delete a shadow experiment

Get a shadow experiment

List shadow experiments

Update a shadow experiment

Get a supported model

List supported models

Create embedding

Get evaluation job details

Get evaluation job status and results

List all files

Retrieve file metadata

Get file contents

List all jobs

List job

List checkpoints

List job events

Get metrics

Get model limits

Download model

Fetch video metadata

Get model list

Get all evaluation jobs

Create job

Estimate price

Cancel job

Create image

Cancel a queued job

Get queue metrics

Get job status

Submit a queued job

Remediation approve

Remediation cancel

Remediation create

Remediation get

Remediation list

Remediation reject

Create a rerank request

Execute code

List active sessions

Upload a file

Get API key identity

TypeScript Library

OpenAPI Specs

openapi

tcloud

deprecated-spec

## What is Together AI Docs's llms.txt?

Together 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 Together AI Docs offers and where to find details.

Pass

Spec

2

Sections

321

Links

52.8 KB

Size

~13.5k

Tokens

Sections: Docs · OpenAPI Specs

## Add Together AI Docs Docs to Your AI Assistant

Select your tool to see how to add Together 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.together.ai/llms.txt
4. 4

   Wait for the green dot (indexing complete)
5. 5

   Reference @Docs in chat when asking about Together AI Docs

Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.

## Spec Compliance 3 notes

## Frequently Asked Questions

Where is Together AI Docs's llms.txt file?

Together AI Docs publishes its llms.txt at https://docs.together.ai/llms.txt. This file provides a structured, markdown-formatted index of Together AI Docs's documentation that AI systems can consume to understand the project's APIs, guides, and references.

How do I use Together 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 Together AI Docs's documentation so it can provide better code suggestions and answers about Together AI Docs.

What does Together AI Docs's llms.txt contain?

Together AI Docs's llms.txt contains 2 sections and 321 documentation links in 52.8 KB (~13.5k tokens). Key sections include Docs, OpenAPI Specs.

How many tokens does Together AI Docs's llms.txt use?

The concise llms.txt index is approximately 13.5k tokens (52.8 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.

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## Related Tools

[<h3>llms.txt Generator</h3>Generate an llms.txt for your own project.](https://mdream.dev/llms-txt/together/tools/llms-txt/generator) [<h3>llms.txt Validator</h3>Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/together/tools/llms-txt/validator)

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