Change
0e91a0f
0e91a0fbf78e6302670dc61a8c28502e418d01a1 · commit on GitHub
openai-llms-txt: changed (34660 bytes, HTTP 200)
raw/openai-llms-txt/response.txt added
- Source
- openai-llms-txt
- Lines added
- +223
- Lines removed
- -0
- Stored bytes at this commit
- 34,660
- Timestamp
- origin
- Raw artifact at this commit
- raw/openai-llms-txt/response.txt
Recorded headers
| observed_at | 2026-08-26T20:25:35.030Z |
|---|---|
| origin_date | 2026-08-26T20:25:35.000Z |
| status | 200 |
| final URL | https://developers.openai.com/api/docs/llms.txt |
| etag | W/"f74c5ad431653be61e3c9871a7103289" |
| last-modified | Wed, 26 Aug 2026 20:25:35 GMT |
| date | Wed, 26 Aug 2026 20:25:35 GMT |
| age | 0 |
| cache-control | public, max-age=0, must-revalidate |
| cf-cache-status | null |
| content-encoding | br |
| content-length | null |
@
@@ -0,0 +1,223 @@+
# OpenAI API docs+
+
> Guides and conceptual documentation for building with the OpenAI API.+
+
Each entry has a Markdown twin at `/api/docs/<slug>.md`.+
+
## Documentation sets+
- [Combined API docs](https://developers.openai.com/api/docs/llms-full.txt): Single-file Markdown export of API guides and docs.+
+
## Actions+
- [Data retrieval with GPT Actions](https://developers.openai.com/api/docs/actions/data-retrieval.md): Learn about performing data retrieval using APIs, relational databases, and vector databases with GPT Actions.+
- [Getting started with GPT Actions](https://developers.openai.com/api/docs/actions/getting-started.md): Learn how to set up and test GPT actions from scratch with the OpenAI API.+
- [GPT Action authentication](https://developers.openai.com/api/docs/actions/authentication.md): Learn about authentication options for GPT actions, including no authentication, API key, and OAuth methods.+
- [GPT Actions](https://developers.openai.com/api/docs/actions/introduction.md): Learn about GPT Actions for customizing ChatGPT and interacting with external applications via APIs.+
- [GPT Actions library](https://developers.openai.com/api/docs/actions/actions-library.md): Learn how to build and integrate GPT Actions for common applications using OpenAI's guidance.+
- [Production notes on GPT Actions](https://developers.openai.com/api/docs/actions/production.md): Guidelines for deploying GPT Actions in a production environment, including rate limits, timeouts, and security measures.+
- [Sending and returning files with GPT Actions](https://developers.openai.com/api/docs/actions/sending-files.md): Learn how to send and return files using GPT Actions in the OpenAI API.+
+
## Assistants+
- [Assistants API deep dive](https://developers.openai.com/api/docs/assistants/deep-dive.md): A detailed guide to creating and managing assistants with the Assistants API on the OpenAI platform.+
- [Assistants API tools](https://developers.openai.com/api/docs/assistants/tools.md): Learn about the tools available for OpenAI Assistants, including file search, code interpreter, and function calling.+
- [Assistants Code Interpreter](https://developers.openai.com/api/docs/assistants/tools/code-interpreter.md): Allow assistants to run Python code with the Code Interpreter tool.+
- [Assistants File Search](https://developers.openai.com/api/docs/assistants/tools/file-search.md): Use File Search as a built-in RAG tool for assistants.+
- [Assistants Function Calling](https://developers.openai.com/api/docs/assistants/tools/function-calling.md): Use function calling to extend assistants with your own tools.+
- [Assistants migration guide](https://developers.openai.com/api/docs/assistants/migration.md): Guidance for migrating from the Assistants API to the Responses API, including side-by-side comparisons and updated patterns.+
+
## Bots+
- [Overview of OpenAI Crawlers](https://developers.openai.com/api/docs/bots.md)+
+
## Changelog+
- [API changelog](https://developers.openai.com/api/docs/changelog.md): Customer-visible changes to the OpenAI API and models.+
+
## Concepts+
- [Key concepts](https://developers.openai.com/api/docs/concepts.md): Key concepts to understand when working with the OpenAI API.+
+
## Deprecations+
- [Deprecations](https://developers.openai.com/api/docs/deprecations.md): Find information about OpenAI API deprecations and recommended replacements.+
+
## Gpts+
- [GPT Release Notes](https://developers.openai.com/api/docs/gpts/release-notes.md): Keep track of updates to OpenAI GPTs and explore new features and capabilities in the release notes.+
+
## Guides+
- [Actions in ChatKit](https://developers.openai.com/api/docs/guides/chatkit-actions.md): Embed a widget to build your own chat experiences.+
- [Admin APIs](https://developers.openai.com/api/docs/guides/admin-apis.md): Use Admin APIs and Admin API keys to automate organization management tasks such as invitations and audit log retrieval.+
- [Advanced integrations with ChatKit](https://developers.openai.com/api/docs/guides/custom-chatkit.md): Use your own server with ChatKit to integrate agent workflows into your product with more customization.+
- [Advanced usage](https://developers.openai.com/api/docs/guides/advanced-usage.md): Discover advanced usage techniques for OpenAI's API, including reproducible outputs, token management, and parameter settings.+
- [Agent Builder](https://developers.openai.com/api/docs/guides/agent-builder.md): Use the OpenAI Agent Builder to start from templates, compose nodes, preview runs, and export workflows to code.+
- [Agent definitions](https://developers.openai.com/api/docs/guides/agents/define-agents.md): Learn how to define an agent's instructions, model, tools, and local context in the OpenAI Agents SDK.+
- [Agents SDK](https://developers.openai.com/api/docs/guides/agents.md): Learn how the OpenAI Agents SDK fits together and which docs to read next.+
- [API deployment checklist](https://developers.openai.com/api/docs/guides/deployment-checklist.md): Review commonly underused Responses API design choices that improve deployment quality, speed, cost, and reliability.+
- [Apply Patch](https://developers.openai.com/api/docs/guides/tools-apply-patch.md): Allow models to propose structured diffs that your integration applies.+
- [Audio and speech](https://developers.openai.com/api/docs/guides/audio.md): Learn core audio and speech concepts for building with the OpenAI API.+
- [Background mode](https://developers.openai.com/api/docs/guides/background.md): Run long running tasks asynchronously in the background.+
- [Batch API](https://developers.openai.com/api/docs/guides/batch.md): Learn how to use OpenAI's Batch API for processing jobs with asynchronous requests, increased rate limits, and cost efficiency.+
- [ChatGPT Developer mode](https://developers.openai.com/api/docs/guides/developer-mode.md): Full MCP client access for apps and tools.+
- [ChatKit](https://developers.openai.com/api/docs/guides/chatkit.md): Embed a widget to build your own chat experiences.+
- [ChatKit widgets](https://developers.openai.com/api/docs/guides/chatkit-widgets.md): Learn how to design widgets in your chat experience with ChatKit.+
- [Citation Formatting](https://developers.openai.com/api/docs/guides/citation-formatting.md): Learn practical citation formatting patterns that help models generate reliable citations.+
- [Code generation](https://developers.openai.com/api/docs/guides/code-generation.md): Learn how to use OpenAI models and Codex to generate code.+
- [Code Interpreter](https://developers.openai.com/api/docs/guides/tools-code-interpreter.md): Allow models to write and run Python to solve problems.+
- [Codex federation rule reference](https://developers.openai.com/api/docs/guides/workload-identity-federation/federation-rules.md): Reference for Codex workload identity subjects, audiences, exact claims, CEL conditions, scopes, token lifetimes, and lifecycle behavior.+
- [Compaction](https://developers.openai.com/api/docs/guides/compaction.md): Manage long-running conversations with server-side and standalone compaction.+
- [Completions API](https://developers.openai.com/api/docs/guides/completions.md)+
- [Computer use](https://developers.openai.com/api/docs/guides/tools-computer-use.md): Use the Responses API computer tool to click, type, scroll, and inspect screenshots.+
- [Configure workload identity federation with X.509 certificates](https://developers.openai.com/api/docs/guides/workload-identity-federation/x509.md): Configure an X.509 workload identity provider and exchange a TLS client certificate for a short-lived OpenAI access token.+
- [Configuring workload identity federation for AWS](https://developers.openai.com/api/docs/guides/workload-identity-federation/aws.md): Configure AWS outbound identity federation or Amazon EKS as a workload identity federation token provider.+
- [Configuring workload identity federation for GitHub Actions](https://developers.openai.com/api/docs/guides/workload-identity-federation/github-actions.md): Configure GitHub Actions as a workload identity federation token provider.+
- [Configuring workload identity federation for Google Cloud](https://developers.openai.com/api/docs/guides/workload-identity-federation/google-cloud.md): Configure Google workload identity or GKE as a workload identity federation token provider.+
- [Configuring workload identity federation for Kubernetes](https://developers.openai.com/api/docs/guides/workload-identity-federation/kubernetes.md): Configure Kubernetes as a workload identity federation token provider.+
- [Configuring workload identity federation for Microsoft Azure](https://developers.openai.com/api/docs/guides/workload-identity-federation/microsoft-azure.md): Configure Azure managed identity or AKS as a workload identity federation token provider.+
- [Configuring workload identity federation for Oracle Cloud Infrastructure](https://developers.openai.com/api/docs/guides/workload-identity-federation/oracle-cloud.md): Configure Oracle Cloud Infrastructure instance principals as a workload identity federation token provider.+
- [Configuring workload identity federation for SPIFFE](https://developers.openai.com/api/docs/guides/workload-identity-federation/spiffe.md): Configure SPIFFE JWT-SVIDs as workload identity federation subject tokens.+
- [Content provenance](https://developers.openai.com/api/docs/guides/content-provenance.md): Learn how to verify images and audio, interpret content credentials and watermarks, and use provenance results responsibly.+
- [Conversation state](https://developers.openai.com/api/docs/guides/conversation-state.md): Learn how to manage conversation state during a model interaction with the OpenAI API.+
- [Cost optimization](https://developers.openai.com/api/docs/guides/cost-optimization.md): Lower your OpenAI model costs by trying our tools and strategies.+
- [Counting tokens](https://developers.openai.com/api/docs/guides/token-counting.md): Use the Responses API to count input tokens for text, images, files, tools, and more—without estimation or tiktoken.+
- [CSAM guidance](https://developers.openai.com/api/docs/guides/csam-guidance.md): Learn practical guidance for addressing CSAM risks in products built with OpenAI.+
- [Cybersecurity checks](https://developers.openai.com/api/docs/guides/safety-checks/cybersecurity.md)+
- [Data controls in the OpenAI platform](https://developers.openai.com/api/docs/guides/your-data.md): Your data is your data. An overview of how OpenAI uses your data, including retention and usage policies.+
- [Deep research](https://developers.openai.com/api/docs/guides/deep-research.md): Use deep research models for complex analysis and research tasks.+
- [Direct preference optimization](https://developers.openai.com/api/docs/guides/direct-preference-optimization.md): Fine-tune models for subjective decision-making by comparing model outputs.+
- [Error codes](https://developers.openai.com/api/docs/guides/error-codes.md): An overview of error codes from the OpenAI API and Python library, including solutions and guidance.+
- [Evaluate agent workflows](https://developers.openai.com/api/docs/guides/agent-evals.md): Learn how to evaluate agent workflows with traces, graders, datasets, and evaluation runs on the OpenAI platform.+
- [Evaluate external models](https://developers.openai.com/api/docs/guides/external-models.md): Learn how to run evals on non-OpenAI models, using the OpenAI platform.+
- [Evaluation best practices](https://developers.openai.com/api/docs/guides/evaluation-best-practices.md): Learn best practices for designing evals to test and improve model performance in production.+
- [Fast mode](https://developers.openai.com/api/docs/guides/fast-mode.md): Get up to 2.5× faster speeds in the API while retaining flexible pay-as-you-go pricing.+
- [File inputs](https://developers.openai.com/api/docs/guides/file-inputs.md): Learn how to use files as file inputs in the OpenAI API.+
- [File search](https://developers.openai.com/api/docs/guides/tools-file-search.md): Allow models to search your files for relevant information before generating a response.+
- [File transcription](https://developers.openai.com/api/docs/guides/speech-to-text.md): Learn how to transcribe recorded audio files, stream file transcripts, and use specialized speech-to-text features.+
- [Fine-tuning best practices](https://developers.openai.com/api/docs/guides/fine-tuning-best-practices.md): Improve results with practical tips for fine-tuning.+
- [Flex processing](https://developers.openai.com/api/docs/guides/flex-processing.md): Learn how to optimize costs for asynchronous tasks with flex processing.+
- [Frontend prompt instructions](https://developers.openai.com/api/docs/guides/frontend-prompt.md): Example prompt instructions for frontend work, written for GPT-5.5.+
- [Function calling](https://developers.openai.com/api/docs/guides/function-calling.md): Learn how function calling enables large language models to connect to external data and systems.+
- [Getting started with datasets](https://developers.openai.com/api/docs/guides/evaluation-getting-started.md): Learn how to get started with evals using datasets.+
- [Graders](https://developers.openai.com/api/docs/guides/graders.md): Learn about graders used for evals and fine-tuning.+
- [Guardrails and human review](https://developers.openai.com/api/docs/guides/agents/guardrails-approvals.md): Learn how to use guardrails and human review in the OpenAI Agents SDK for safer, more controlled workflows.+
- [Image generation](https://developers.openai.com/api/docs/guides/image-generation.md): Learn how to generate or edit images with the OpenAI API and image generation models.+
- [Image generation](https://developers.openai.com/api/docs/guides/tools-image-generation.md): Allow models to generate or edit images.+
- [Image input token and cost calculator](https://developers.openai.com/api/docs/guides/image-cost-calculator.md): Estimate image input tokens and API costs for OpenAI vision models by model, image dimensions, and detail level.+
- [Images and vision](https://developers.openai.com/api/docs/guides/images-vision.md): Learn how to understand or generate images with the OpenAI API.+
- [Import and reconcile OpenAI resources](https://developers.openai.com/api/docs/guides/terraform/import-and-reconcile.md): Import existing OpenAI resources into Terraform, inspect current state, reconcile drift, and understand removal behavior.+
- [Integrations and observability](https://developers.openai.com/api/docs/guides/agents/integrations-observability.md): Learn how to integrate MCP into Agents SDK workflows and how to trace and debug runs.+
- [IP allowlist](https://developers.openai.com/api/docs/guides/ip-allowlist.md): Configure organization- or project-level IP allowlists for OpenAI API requests.+
- [IP egress ranges](https://developers.openai.com/api/docs/guides/ip-addresses.md): Find the published IP egress ranges used by OpenAI products.+
- [Latency optimization](https://developers.openai.com/api/docs/guides/latency-optimization.md): Improve latency across a wide variety of LLM-related use cases.+
- [Local shell](https://developers.openai.com/api/docs/guides/tools-local-shell.md): Enable agents to run commands in a local shell.+
- [Manage Codex workload identity with the Admin API](https://developers.openai.com/api/docs/guides/workload-identity-federation/admin-api.md): Programmatically create, list, update, disable, and archive Codex workload identity providers and federation rules.+
- [Manage permissions in the OpenAI platform](https://developers.openai.com/api/docs/guides/rbac.md): Learn how to use role-based access control to assign permissions, create custom roles, group users, and scope access across both the OpenAI API and dashboard.+
- [Manage projects and access with Terraform](https://developers.openai.com/api/docs/guides/terraform/projects-and-access.md): Create an OpenAI project, define least-privilege roles, and manage group and user access with Terraform.+
- [Manage service accounts with Terraform](https://developers.openai.com/api/docs/guides/terraform/service-accounts.md): Create OpenAI project service accounts, assign least-privilege roles, and manage API keys outside Terraform state.+
- [Managing costs](https://developers.openai.com/api/docs/guides/realtime-costs.md): Learn how to monitor and optimize your costs when using the Realtime API.+
- [MCP and Connectors](https://developers.openai.com/api/docs/guides/tools-connectors-mcp.md): Use remote MCP servers and OpenAI-maintained connectors for popular services to give models new capabilities.+
- [Migrate from Agent Builder](https://developers.openai.com/api/docs/guides/agent-builder/migrate-from-agent-builder.md): Learn how to export an Agent Builder workflow and continue with ChatGPT Workspace Agents or the Agents SDK.+
- [Migrate from prompt objects](https://developers.openai.com/api/docs/guides/prompting/migrate-from-prompt-object.md): Learn how to migrate from reusable prompt objects to versioned prompts in your application code.+
- [Migrate to the Responses API](https://developers.openai.com/api/docs/guides/migrate-to-responses.md)+
- [Model optimization](https://developers.openai.com/api/docs/guides/model-optimization.md): Ensure quality model outputs with evals and fine-tuning in the OpenAI platform.+
- [Model selection](https://developers.openai.com/api/docs/guides/model-selection.md): Learn how to choose the right model by balancing accuracy, latency, and cost for optimal performance.+
- [Model, tool, and data controls with Terraform](https://developers.openai.com/api/docs/guides/terraform/project-controls.md): Manage OpenAI project model permissions, hosted-tool permissions, and data-retention controls with Terraform.+
- [Models and providers](https://developers.openai.com/api/docs/guides/agents/models.md): Learn how to choose models, set defaults, and think about providers and transport in the OpenAI Agents SDK.+
- [Moderation](https://developers.openai.com/api/docs/guides/moderation.md): Learn how to identify harmful content in text and images with OpenAI moderation models.+
- [Multi-agent](https://developers.openai.com/api/docs/guides/responses-multi-agent.md): Enable Responses API Multi-agent, handle client-side HTTP and WebSocket flows, and read Multi-agent output items.+
- [Mutual TLS](https://developers.openai.com/api/docs/guides/mutual-tls.md): Configure Mutual TLS trust, certificate verification, CEL filters, rotation, and troubleshooting for OpenAI API requests.+
- [Node reference](https://developers.openai.com/api/docs/guides/node-reference.md): Explore all available nodes for composing workflows in Agent Builder.+
- [OpenAI models in Amazon Bedrock](https://developers.openai.com/api/docs/guides/amazon-bedrock.md): Learn how Amazon Bedrock availability differs from the OpenAI API, including supported capabilities, AWS-managed controls, and pricing considerations.+
- [Optimizing LLM Accuracy](https://developers.openai.com/api/docs/guides/optimizing-llm-accuracy.md): Learn strategies to enhance the accuracy of large language models using techniques like prompt engineering, retrieval-augmented generation, and fine-tuning.+
- [Orchestration and handoffs](https://developers.openai.com/api/docs/guides/agents/orchestration.md): Learn how to orchestrate multiple agents with handoffs and agents-as-tools in the OpenAI Agents SDK.+
- [Predicted Outputs](https://developers.openai.com/api/docs/guides/predicted-outputs.md): Understand how to reduce latency for model responses where much of the response is known ahead of time.+
- [Private Link](https://developers.openai.com/api/docs/guides/private-link.md): Configure Azure Private Link endpoints, DNS, health checks, and cross-region routing for the OpenAI API.+
- [Production best practices](https://developers.openai.com/api/docs/guides/production-best-practices.md): Explore best practices for transitioning your AI projects from prototype to production, including scaling, security, and cost management.+
- [Programmatic Tool Calling](https://developers.openai.com/api/docs/guides/tools-programmatic-tool-calling.md): Configure Programmatic Tool Calling, control which tools programs can invoke, and resume programs after client-owned function calls.+
- [Prompt caching](https://developers.openai.com/api/docs/guides/prompt-caching.md): Learn how prompt caching reduces latency and cost for long prompts in OpenAI's API.+
- [Prompt engineering](https://developers.openai.com/api/docs/guides/prompt-engineering.md): Learn strategies and tactics for better results using large language models in the OpenAI API.+
- [Prompt generation](https://developers.openai.com/api/docs/guides/prompt-generation.md): Learn how to generate prompts, functions, and schemas in the OpenAI API's Playground.+
- [Prompt optimizer](https://developers.openai.com/api/docs/guides/prompt-optimizer.md): Learn how to use your dataset to automatically improve your prompts.+
- [Prompting](https://developers.openai.com/api/docs/guides/prompting.md): Learn how to create, optimize, and maintain prompts with OpenAI models.+
- [Prompting guidance for GPT-5.6 Sol](https://developers.openai.com/api/docs/guides/prompt-guidance-gpt-5p6.md): Machine-readable prompting guidance for adapting prompts and agents to GPT-5.6 Sol.+
- [Quickstart](https://developers.openai.com/api/docs/guides/agents/quickstart.md): Build your first agent with the OpenAI Agents SDK, add tools and handoffs, and understand where to go next.+
- [Rate limits](https://developers.openai.com/api/docs/guides/rate-limits.md): Rate limits are restrictions that our API imposes on the number of times a user or client can access our services within a specified period of time.+
- [Rate limits and spend with Terraform](https://developers.openai.com/api/docs/guides/terraform/rate-limits-and-spend.md): Discover and manage OpenAI project rate limits and create organization or project spend alerts with Terraform.+
- [Realtime and audio](https://developers.openai.com/api/docs/guides/realtime.md): Learn which realtime and audio guide to use for each speech application.+
- [Realtime API with SIP](https://developers.openai.com/api/docs/guides/realtime-sip.md): Learn how to connect to the Realtime API using SIP.+
- [Realtime API with WebRTC](https://developers.openai.com/api/docs/guides/realtime-webrtc.md): Learn how to connect to the Realtime API using WebRTC.+
- [Realtime API with WebSocket](https://developers.openai.com/api/docs/guides/realtime-websocket.md): Learn how to connect to the Realtime API using WebSocket in a server-to-server application.+
- [Realtime conversations](https://developers.openai.com/api/docs/guides/realtime-conversations.md): Learn how to manage Realtime speech-to-speech conversations.+
- [Realtime transcription](https://developers.openai.com/api/docs/guides/realtime-transcription.md): Learn how to transcribe live audio with realtime transcription sessions.+
- [Realtime translation](https://developers.openai.com/api/docs/guides/realtime-translation.md): Learn how to build live speech translation with Realtime translation sessions.+
- [Realtime with tools](https://developers.openai.com/api/docs/guides/realtime-mcp.md): Learn how to configure function tools, MCP tools, and connectors in a Realtime session.+
- [Reasoning best practices](https://developers.openai.com/api/docs/guides/reasoning-best-practices.md): Explore best practices for using o-series reasoning models, like o1 and o3-mini, vs. GPT models—including use cases, how to choose a model, and prompting guidance.+
- [Reasoning models](https://developers.openai.com/api/docs/guides/reasoning.md): Learn how to use OpenAI reasoning models in the Responses API, choose a reasoning effort, manage reasoning tokens, and keep reasoning state across turns.+
- [Red teaming](https://developers.openai.com/api/docs/guides/red-teaming.md): Learn how red teaming fits into AI evaluation, including Promptfoo open source and OpenAI Red Teaming for enterprise teams.+
- [Reinforcement fine-tuning](https://developers.openai.com/api/docs/guides/reinforcement-fine-tuning.md): Fine-tune models for expert-level performance within a domain.+
- [Reinforcement fine-tuning use cases](https://developers.openai.com/api/docs/guides/rft-use-cases.md): Explore best practices and practical use cases for reinforcement fine-tuning (RFT) with OpenAI models.+
- [Results and state](https://developers.openai.com/api/docs/guides/agents/results.md): Learn which result surfaces matter most in the OpenAI Agents SDK and how they connect to resumable workflow state.+
- [Retrieval](https://developers.openai.com/api/docs/guides/retrieval.md): Learn how to search your data using semantic similarity with the OpenAI API.+
- [Running agents](https://developers.openai.com/api/docs/guides/agents/running-agents.md): Learn how to run agents, stream output, and choose the right conversation-state strategy in the OpenAI Agents SDK.+
- [Safety best practices](https://developers.openai.com/api/docs/guides/safety-best-practices.md): Learn how to implement safety measures like moderation, adversarial testing, human oversight, and prompt engineering to ensure responsible AI deployment.+
- [Safety checks](https://developers.openai.com/api/docs/guides/safety-checks.md): Learn how OpenAI assesses for safety, OpenAI classifiers across safety categories, and implementation tips for how to pass safety checks.+
- [Safety in building agents](https://developers.openai.com/api/docs/guides/agent-builder-safety.md): Minimize prompt injections and other risks when building agent workflows with OpenAI Agent Builder.+
- [Sandbox Agents](https://developers.openai.com/api/docs/guides/agents/sandboxes.md): Learn how sandboxes fit into Agents SDK workflows, when to use them, and how orchestration stays separate from execution.+
- [Secure MCP Tunnel](https://developers.openai.com/api/docs/guides/secure-mcp-tunnels.md): Connect private or on-prem MCP servers to supported OpenAI products with an outbound-only MCP tunnel, without exposing them to the public internet.+
- [Shell](https://developers.openai.com/api/docs/guides/tools-shell.md): Run shell commands in hosted containers or your own local runtime.+
- [Skills](https://developers.openai.com/api/docs/guides/tools-skills.md): Upload, manage, and attach reusable skills to hosted environments.+
- [Spend limits](https://developers.openai.com/api/docs/guides/spend-limits.md): Control API spend with organization and project monthly spend limits.+
- [Streaming API responses](https://developers.openai.com/api/docs/guides/streaming-responses.md): Learn how to stream model responses from the OpenAI API using server-sent events.+
- [Structured model outputs](https://developers.openai.com/api/docs/guides/structured-outputs.md): Understand how to ensure model responses follow specific JSON Schema you define.+
- [Supervised fine-tuning](https://developers.openai.com/api/docs/guides/supervised-fine-tuning.md): Fine-tune models with example inputs and known good outputs for better results and efficiency.+
- [Terraform provider](https://developers.openai.com/api/docs/guides/terraform.md): Configure the OpenAI Terraform provider and manage organization resources through the Administration API.+
- [Text generation](https://developers.openai.com/api/docs/guides/text.md): Learn how to use the OpenAI API to generate text from a prompt. Learn about message types and available text formats like JSON and Structured Outputs.+
- [Text to speech](https://developers.openai.com/api/docs/guides/text-to-speech.md): Learn how to turn text into lifelike spoken audio with the OpenAI API.+
- [Theming and customization in ChatKit](https://developers.openai.com/api/docs/guides/chatkit-themes.md): Configure colors, typography, density, and component variants in your ChatKit implementation.+
- [Tool search](https://developers.openai.com/api/docs/guides/tools-tool-search.md): Use tool search to defer large tool surfaces, group related tools with namespaces, and load only the relevant functions at runtime.+
- [Trace grading](https://developers.openai.com/api/docs/guides/trace-grading.md): Use trace grading to create datasets, configure graders, and track evaluation runs for your models.+
- [Transcription](https://developers.openai.com/api/docs/guides/transcription.md): Choose between file transcription and realtime transcription, then start with the recommended model for your audio.+
- [Under 18 API Guidance](https://developers.openai.com/api/docs/guides/safety-checks/under-18-api-guidance.md)+
- [Upgrading to GPT-5.4](https://developers.openai.com/api/docs/guides/upgrading-to-gpt-5p4.md): Guidance for upgrading OpenAI API model strings and directly related prompts to GPT-5.4.+
- [Upgrading to GPT-5.5](https://developers.openai.com/api/docs/guides/upgrading-to-gpt-5p5.md): Guidance for upgrading OpenAI API model strings and directly related prompts to GPT-5.5.+
- [Upgrading to GPT-5.6 Sol](https://developers.openai.com/api/docs/guides/upgrading-to-gpt-5p6-sol.md): Machine-readable guidance for migrating OpenAI API integrations to GPT-5.6 Sol and the GPT-5.6 family.+
- [Using GPT-4.1](https://developers.openai.com/api/docs/guides/latest-model/gpt-4.1.md): Learn how to use, migrate to, and prompt GPT-4.1 in the OpenAI API.+
- [Using GPT-5](https://developers.openai.com/api/docs/guides/latest-model/gpt-5.md): Learn how to use, migrate to, and prompt GPT-5 in the OpenAI API.+
- [Using GPT-5.1](https://developers.openai.com/api/docs/guides/latest-model/gpt-5.1.md): Learn how to use, migrate to, and prompt GPT-5.1 in the OpenAI API.+
- [Using GPT-5.2](https://developers.openai.com/api/docs/guides/latest-model/gpt-5.2.md): Learn how to use, migrate to, and prompt GPT-5.2 in the OpenAI API.+
- [Using GPT-5.3-Codex](https://developers.openai.com/api/docs/guides/latest-model/gpt-5.3-codex.md): Learn how to use, migrate to, and prompt GPT-5.3-Codex in the Responses API.+
- [Using GPT-5.4](https://developers.openai.com/api/docs/guides/latest-model/gpt-5.4.md): Learn how to use, migrate to, and prompt GPT-5.4 in the OpenAI API.+
- [Using GPT-5.5](https://developers.openai.com/api/docs/guides/latest-model/gpt-5.5.md): Learn how to use and migrate to GPT-5.5 in the OpenAI API.+
- [Using GPT-5.6](https://developers.openai.com/api/docs/guides/latest-model/gpt-5.6.md): Learn how to use and migrate to GPT-5.6, the latest model family in the OpenAI API.+
- [Using realtime models](https://developers.openai.com/api/docs/guides/realtime-models-prompting.md): Learn how to use realtime voice models, including Realtime 2 reasoning, preambles, tool use, and migration from earlier realtime models.+
- [Using tools](https://developers.openai.com/api/docs/guides/tools.md): Use powerful tools like remote MCP servers, or built-in tools like web search and file search to extend the model's capabilities.+
- [Vector embeddings](https://developers.openai.com/api/docs/guides/embeddings.md): Learn how to turn text into numbers, unlocking use cases like search, clustering, and more with OpenAI API embeddings.+
- [Video generation with Sora](https://developers.openai.com/api/docs/guides/video-generation.md): Learn how to generate, refine, and manage videos using the OpenAI Videos API.+
- [Vision fine-tuning](https://developers.openai.com/api/docs/guides/vision-fine-tuning.md): Fine-tune models for better image understanding.+
- [Voice activity detection (VAD)](https://developers.openai.com/api/docs/guides/realtime-vad.md): Learn about automatic voice activity detection in the Realtime API.+
- [Voice agents](https://developers.openai.com/api/docs/guides/voice-agents.md): Learn how to build voice agents with the OpenAI Agents SDK, choose the right architecture, and connect voice workflows to the rest of the agent stack.+
- [Web search](https://developers.openai.com/api/docs/guides/tools-web-search.md): Allow models to search the web for the latest information before generating a response.+
- [Webhooks](https://developers.openai.com/api/docs/guides/webhooks.md): Use webhooks to receive real-time updates from the OpenAI API.+
- [Webhooks and server-side controls](https://developers.openai.com/api/docs/guides/realtime-server-controls.md): Learn how to use webhooks and server-side controls with the Realtime API.+
- [WebSocket Mode](https://developers.openai.com/api/docs/guides/websocket-mode.md): Learn how to use Responses API WebSocket mode with response creation, continuation, and multiplexing.+
- [Working with evals](https://developers.openai.com/api/docs/guides/evals.md): Learn how to test and improve AI model outputs through evaluations.+
- [Workload identity federation](https://developers.openai.com/api/docs/guides/workload-identity-federation.md): Authenticate trusted workloads to the OpenAI API and Codex with short-lived identity-provider tokens.+
+
## Libraries+
- [SDKs and CLI](https://developers.openai.com/api/docs/libraries.md): Discover official OpenAI SDKs, the OpenAI CLI, and the Agents SDK.+
- [OpenAI CLI](https://developers.openai.com/api/docs/libraries/openai-cli.md): Install and use the generated openai command-line tool for Responses, structured outputs, images, speech, and shell workflows.+
+
## Mcp+
- [Building MCP servers for plugins and API integrations](https://developers.openai.com/api/docs/mcp.md): Learn how to build MCP servers for use with plugins, deep research, or API integrations.+
+
## Models+
- [Models](https://developers.openai.com/api/docs/models.md): Catalog of models available through the OpenAI API.+
- [All models](https://developers.openai.com/api/docs/models/all.md): Browse the complete OpenAI API model catalog.+
- [Compare models](https://developers.openai.com/api/docs/models/compare.md): Compare model capabilities, context windows, and pricing.+
+
## Pricing+
- [Pricing](https://developers.openai.com/api/docs/pricing.md): Pricing information for the OpenAI platform.+
+
## Quickstart+
- [Developer quickstart](https://developers.openai.com/api/docs/quickstart.md): Learn how to use the OpenAI API to generate human-like responses to natural language prompts, analyze images with computer vision, use powerful built-in tools, and more.+
+
## Supported Countries+
- [Supported countries and territories](https://developers.openai.com/api/docs/supported-countries.md): Countries and territories that currently support access to our API services.+
+
## Tutorials+
- [Meeting minutes](https://developers.openai.com/api/docs/tutorials/meeting-minutes.md): Create an automated meeting minutes generator with Whisper and a GPT model.+
- [Web QA with embeddings](https://developers.openai.com/api/docs/tutorials/web-qa-embeddings.md): How to build an AI that can answer questions about your website.