# Orq.ai Documentation

## Docs

- [AI Gateway](https://docs.orq.ai/docs/ai-gateway/get-started/introduction.md): AI Gateway is a standalone LLM routing layer. Connect any provider, route requests across 300+ models, and track cost a…
- [Migrate to Orq.ai from OpenAI, OpenRouter, or LiteLLM](https://docs.orq.ai/docs/ai-gateway/get-started/migrate.md): Move existing LLM traffic to the Orq.ai AI Gateway from the OpenAI SDK, OpenRouter, or LiteLLM by changing the base URL…
- [API Keys and Management Keys](https://docs.orq.ai/docs/ai-gateway/configuration/api-keys.md): Create and manage project-scoped API keys and workspace-scoped management keys with granular permissions.
- [Budgets](https://docs.orq.ai/docs/ai-gateway/budgets.md): Set spending limits on any scope (workspace, project, identity, API key, provider, or model) to control AI costs across…
- [Models](https://docs.orq.ai/docs/ai-gateway/using-the-router.md): Browse available LLM models and enable them in the AI Gateway. Filter by provider, capability, and pricing to find the…
- [Supported models in AI Gateway](https://docs.orq.ai/docs/ai-gateway/supported-models.md): Browse LLM models available through the AI Gateway. Access GPT, Claude, Gemini, and 300+ models from top providers with…
- [Responses API](https://docs.orq.ai/docs/ai-gateway/features/responses-api.md): Create model responses with built-in tools, server-side conversation state, and multimodal input through the AI Gateway…
- [OpenAI-compatible API](https://docs.orq.ai/docs/ai-gateway/features/openai-compatible-api.md): Use Orq.ai as an OpenAI-compatible API proxy. Access 300+ LLM models with the existing OpenAI SDK by changing only the…
- [Anthropic Messages API](https://docs.orq.ai/docs/ai-gateway/features/anthropic-messages-api.md): Use the Anthropic SDK unmodified against the Orq.ai AI Gateway, and place cache_control breakpoints on content blocks t…
- [BYOK | Bring Your Own Key](https://docs.orq.ai/docs/ai-gateway/providers-overview.md): Bring Your Own Key (BYOK) to the AI Gateway. Connect OpenAI, Anthropic, Google, AWS, and 20+ other providers using your…
- [Smart Router](https://docs.orq.ai/docs/ai-gateway/smart-router.md): Automatically route each request to the optimal model in a pool based on task complexity and the chosen mode. Reduce co…
- [Fallbacks and retries in the AI Gateway](https://docs.orq.ai/docs/ai-gateway/features/retries.md): Retry failed LLM requests with exponential backoff and configure fallback models in Orq.ai to handle rate limits, serve…
- [Load balancing across providers](https://docs.orq.ai/docs/ai-gateway/features/load-balancing.md): Distribute LLM requests across multiple providers with latency-based, weight-based, or round-robin routing. Optimize co…
- [Routing Rules](https://docs.orq.ai/docs/ai-gateway/configuration/routing-rules.md): Use CEL-based routing rules to redirect AI Gateway requests to different models based on request attributes, evaluated…
- [LLM response caching](https://docs.orq.ai/docs/ai-gateway/features/cache.md): Cache identical LLM requests to reduce latency by 95% and cut API costs. Configure TTL, exact match caching, and optimi…
- [Request timeouts](https://docs.orq.ai/docs/ai-gateway/features/timeouts.md): Set maximum LLM request duration to prevent hanging calls. Configure timeouts per request for chat, batch processing, a…
- [Rate limits and quotas](https://docs.orq.ai/docs/ai-gateway/features/rate-limits.md): Understand how the AI Gateway enforces plan-based request limits, budget-based cost, token, and requests-per-minute lim…
- [Response Healing | Plugins | AI Gateway](https://docs.orq.ai/docs/ai-gateway/features/plugins/response-healing.md): Repair malformed JSON in model output using the response_healing plugin in the AI Gateway.
- [Use managed prompts via AI Gateway](https://docs.orq.ai/docs/ai-gateway/features/using-prompts.md): Execute versioned prompts through the AI Gateway. Call managed prompts by key or ID for consistent LLM behavior without…
- [Knowledge bases via AI Gateway](https://docs.orq.ai/docs/ai-gateway/features/knowledge-bases.md): Integrate knowledge bases through the AI Gateway. Enable RAG retrieval in LLM calls with automatic context injection fo…
- [EU data residency and model routing](https://docs.orq.ai/docs/enterprise/eu-regions-faq.md): Orq.ai is built in Europe. Platform data stays in the EU by default, GDPR-compliant by design, with VPC and sovereign d…
- [Sovereign AI and zero data retention (ZDR)](https://docs.orq.ai/docs/enterprise/sovereign-ai.md): How Orq.ai delivers AI sovereignty across business entity, investors, EU infrastructure, model routing, zero data reten…
- [Guardrails](https://docs.orq.ai/docs/ai-gateway/configuration/guardrails.md): Create LLM and Python guardrails in the AI Gateway to evaluate and block non-compliant requests and responses.
- [Guardrail Rules](https://docs.orq.ai/docs/ai-gateway/configuration/guardrail-rules.md): Configure guardrail rules in the AI Gateway to validate and control LLM requests and responses with evaluators triggere…
- [Mask sensitive content in traces](https://docs.orq.ai/docs/ai-gateway/features/security.md): Control which request and response content gets written to stored traces using the security parameter on the AI Gateway.
- [PII Redaction | Plugins | AI Gateway](https://docs.orq.ai/docs/ai-gateway/features/plugins/pii-redaction.md): Redact personally identifiable information before it reaches the provider, then restore the original values in the resp…
- [Bring Your Own Model](https://docs.orq.ai/docs/ai-gateway/private-models.md): Connect fine-tuned, self-hosted, and privately deployed models from Azure AI Foundry, Google Vertex AI, or LiteLLM to t…
- [LLM response streaming](https://docs.orq.ai/docs/ai-gateway/features/streaming.md): Enable real-time streaming for LLM responses. Deliver incremental content for better UX with Server-Sent Events, React…
- [Structured outputs with JSON schema](https://docs.orq.ai/docs/ai-gateway/features/structured-outputs.md): Generate type-safe JSON responses with guaranteed schema compliance. Use Zod or Pydantic for validated LLM outputs with…
- [Multimodal inputs and generation](https://docs.orq.ai/docs/ai-gateway/features/multimodal.md): Send images, PDFs, and audio to LLMs, and generate images and speech through the AI Gateway. One unified OpenAI-compati…
- [Files API](https://docs.orq.ai/docs/ai-gateway/features/files.md): Upload files once and reuse them across Orq.ai as knowledge base datasources and batch job sources. Manage the full fil…
- [Prompt caching for reduced token costs](https://docs.orq.ai/docs/ai-gateway/features/prompt-caching.md): Cache repeated prompt prefixes at the provider level to reduce input token costs and latency. Supported on Anthropic, O…
- [Tool calling and function execution](https://docs.orq.ai/docs/ai-gateway/features/tool-calling.md): Enable LLMs to call external functions with structured parameters. Build AI agents that interact with APIs, databases,…
- [Reasoning models](https://docs.orq.ai/docs/ai-gateway/features/reasoning.md): Use reasoning and thinking-capable models like GPT-5.6 Sol and Claude Opus 5 through the AI Gateway. Configure reasonin…
- [Web search in Responses API](https://docs.orq.ai/docs/ai-gateway/features/web-search.md): Give models access to current web information via the Responses API with built-in web search across OpenAI, Anthropic,…
- [Dynamic inputs for runtime configuration](https://docs.orq.ai/docs/ai-gateway/features/inputs.md): Pass dynamic inputs to LLM prompts at runtime. Configure variables, context, and parameters through the AI Gateway for…
- [Embeddings](https://docs.orq.ai/docs/ai-gateway/features/embeddings.md): Create vector embeddings through the AI Gateway with any supported embedding model. Generate embeddings for semantic se…
- [Rerank and Moderations](https://docs.orq.ai/docs/ai-gateway/features/rerank-and-moderations.md): Rerank documents by relevance to a query and moderate text against safety categories through the AI Gateway.
- [Orq span attributes reference](https://docs.orq.ai/docs/ai-gateway/orq-attributes.md): Complete reference for orq.* OpenTelemetry span attributes emitted by the AI Gateway across traces, webhook payloads, a…
- [Request metadata](https://docs.orq.ai/docs/ai-gateway/request-metadata.md): Attach an app name, identity, thread, tags, and custom metadata to AI Gateway requests, and slice traces and analytics…
- [Model FAQ](https://docs.orq.ai/docs/ai-gateway/model-faq.md): Answers to common questions about models in Orq.ai: enabling models, model IDs, parameters, reasoning, and what capabil…
- [AI Gateway traces](https://docs.orq.ai/docs/ai-gateway/traces.md): Inspect every AI Gateway request as a detailed trace. View latency, token usage, cache hits, and provider responses for…
- [Quick Start](https://docs.orq.ai/docs/ai-studio/observability/quickstart.md): Instrument an existing application with OpenTelemetry to get full trace visibility and cost tracking in Orq.ai. Framewo…
- [Orq span attributes reference](https://docs.orq.ai/docs/ai-studio/observability/span-attributes.md): Complete reference for orq.* OpenTelemetry span attributes. Find every attribute emitted by Orq.ai across traces, webho…
- [App tracking for AI requests](https://docs.orq.ai/docs/ai-gateway/app-tracking.md): Track LLM usage by application context. Segment AI analytics, costs, and performance metrics across different apps, fea…
- [Thread management for grouped requests](https://docs.orq.ai/docs/ai-gateway/thread-management.md): Group related AI Gateway requests into conversation threads for observability. Threads label related calls together wit…
- [Track usage by identity](https://docs.orq.ai/docs/ai-studio/observability/identities.md): Group AI metrics by user, team, project, or client. Create identities via API to organize analytics and monitor usage p…
- [LLM traces for debugging](https://docs.orq.ai/docs/ai-studio/observability/traces.md): Explore step-by-step details of every LLM generation. Debug RAG pipelines, evaluators, guardrails, and caching with ful…
- [Conversation threads in traces](https://docs.orq.ai/docs/ai-studio/observability/threads.md): Group related LLM calls into threads for observability and analysis. Threads are a labeling mechanism and do not store…
- [LLM generation logs](https://docs.orq.ai/docs/ai-studio/observability/logs.md): View detailed logs for every LLM generation. Debug failed requests, analyze latency and costs, and reproduce issues wit…
- [Alerts](https://docs.orq.ai/docs/ai-studio/observability/alerts.md): Get notified when cost, latency, errors, or guardrail results cross a threshold, without watching a dashboard.
- [Trace Automations | Automated LLM Monitoring](https://docs.orq.ai/docs/ai-studio/observability/automations.md): Automatically act on LLM trace data with rule-based automations. Add traces to datasets, trigger reviews, and scale qua…
- [Reporting API | Query AI analytics](https://docs.orq.ai/docs/ai-studio/observability/reporting-api.md): Use the Orq.ai Reporting API for programmatic access to AI usage, cost, latency, token, evaluator, and guardrail analyt…
- [Audit Logs](https://docs.orq.ai/docs/ai-gateway/get-started/settings/audit-logs.md): Monitor AI Gateway workspace activity. Track who did what, when they did it, and what was affected for compliance and s…
- [Annotations](https://docs.orq.ai/docs/ai-studio/observability/annotations.md): Define annotation schemas and apply structured feedback to traces and spans in AI Studio, through the API and SDK, or t…
- [Annotation Queues](https://docs.orq.ai/docs/ai-studio/observability/annotation-queues.md): Organize production traces into review queues and apply annotations in bulk in AI Studio.
- [Build your first AI agent with Orq.ai](https://docs.orq.ai/docs/ai-studio/ai-engineering/quickstart.md): Build an AI agent with Orq.ai: create the agent, connect a model, add tools, and call it from your code. Beginner-frien…
- [Cookbooks and tutorials](https://docs.orq.ai/docs/ai-studio/cookbooks/cookbooks.md): Step-by-step tutorials for building AI applications with Orq.ai. Covers RAG chatbots, text-to-SQL, PDF extraction, and…
- [Build Agents](https://docs.orq.ai/docs/ai-studio/ai-engineering/build-agents.md): Build AI agents in Orq.ai: set instructions, pick models, and attach tools, knowledge bases, memory, and guardrails via…
- [Run Agents](https://docs.orq.ai/docs/ai-studio/ai-engineering/run-agents.md): Execute AI agents in Orq.ai. Send messages, pass variables, attach files, continue tasks, and trace executions through…
- [Create Tools](https://docs.orq.ai/docs/ai-studio/ai-engineering/create-tools.md): Add function calling to LLM applications with tools. Create HTTP, Python, MCP, or JSON Schema tools to integrate AI mod…
- [Skills](https://docs.orq.ai/docs/ai-studio/ai-engineering/skills.md): Skills are reusable, instruction-driven capabilities in Orq.ai. Define a task once and plug it into any agent, prompt,…
- [Prompts](https://docs.orq.ai/docs/ai-studio/prompts/prompts.md): Build, version, and manage prompts for LLM applications. Configure models, variables, and structured outputs through AI…
- [Create a Deployment](https://docs.orq.ai/docs/ai-studio/ai-engineering/deployments.md): Create Orq.ai Deployments to ship LLM use cases to production. Configure model routing, invoke them via API or SDK, and…
- [Knowledge Bases](https://docs.orq.ai/docs/ai-studio/ai-engineering/knowledge-bases.md): Build knowledge bases for RAG to ground AI agents in domain data.
- [External Knowledge Bases](https://docs.orq.ai/docs/ai-studio/ai-engineering/external-knowledge-bases.md): Connect an existing vector database via a standard API. Keep data management on the existing infrastructure.
- [Chunking](https://docs.orq.ai/docs/ai-studio/ai-engineering/chunking.md): Split text into chunks for RAG with six strategies, and decide between the Chunking API and Knowledge Base-managed chun…
- [Memory Stores](https://docs.orq.ai/docs/ai-studio/ai-engineering/memory-stores.md): Entity-scoped long-term memory that persists across sessions, enabling personalization and context continuity for AI ag…
- [Create Playgrounds](https://docs.orq.ai/docs/ai-studio/prompts/playgrounds.md): Test LLM prompts in an interactive environment. Compare models side-by-side, adjust parameters, and iterate on prompts…
- [Build Datasets](https://docs.orq.ai/docs/ai-studio/optimize/datasets.md): Create datasets to test LLM models at scale. Define inputs, messages, and expected outputs for experiments. Manage data…
- [Build Experiments](https://docs.orq.ai/docs/ai-studio/optimize/experiments.md): Test prompts and models at scale. Compare performance metrics, evaluate outputs, and iterate on configurations via the…
- [Create Evaluators](https://docs.orq.ai/docs/ai-studio/optimize/evaluators.md): Build LLM-as-a-Judge and Python evaluators in Orq.ai to automatically score model outputs from AI Studio, the API, or t…
- [Red Teaming](https://docs.orq.ai/docs/ai-studio/optimize/red-teaming.md): Automatically probe agents and models for security vulnerabilities with evaluatorq, the Orq.ai red teaming CLI and Pyth…
- [Agent Simulation](https://docs.orq.ai/docs/ai-studio/optimize/agent-simulations.md): Test agents through realistic multi-turn conversations with AI-generated personas, scenarios, and an LLM judge.
- [Hub](https://docs.orq.ai/docs/ai-studio/optimize/hub.md): Browse and import pre-built evaluators from the Orq.ai Hub. Add them to your projects and use them in Experiments, Depl…
- [AI Chat](https://docs.orq.ai/docs/ai-studio/ai-chat/using-the-ai-chat.md): Chat and test AI models in real time directly in Orq.ai, with full conversation history, file attachments, and access t…
- [Configure Chat](https://docs.orq.ai/docs/ai-studio/ai-chat/configuration.md): Control which LLM models and agents are available to end users in Chat. Admin-only settings for managing the Chat exper…
- [General Settings](https://docs.orq.ai/docs/ai-studio/organization/workspace-settings.md): Configure your Orq.ai workspace name, default project, time zone, and organization-level preferences from the General S…
- [Projects in Orq.ai](https://docs.orq.ai/docs/ai-studio/get-started/projects.md): Organize AI resources with projects. Group prompts, deployments, agents, and knowledge bases. Manage team access and pe…
- [Favorites](https://docs.orq.ai/docs/ai-studio/get-started/favorites.md): Pin frequently used entities to the sidebar for quick access. Favorites are personal, can be organized into folders, an…
- [Members and teams](https://docs.orq.ai/docs/ai-studio/organization/members-teams.md): Manage team members, roles, and project access in Orq.ai. Configure Admin, Developer, and Researcher roles and organize…
- [API Keys](https://docs.orq.ai/docs/ai-studio/organization/api-keys.md): Create and manage project-scoped API keys with granular permissions for secure access to Orq.ai resources.
- [Management Keys](https://docs.orq.ai/docs/ai-studio/organization/management-keys.md): Create workspace-scoped management keys to authenticate workspace administration operations.
- [Audit logs](https://docs.orq.ai/docs/ai-studio/organization/audit-logs.md): Monitor organization activities and changes. Track who did what, when they did it, and what was affected for compliance…
- [Enterprise SSO authentication](https://docs.orq.ai/docs/ai-studio/organization/sso.md): Configure enterprise Single Sign-On for Orq.ai using any standards-compliant OIDC or SAML identity provider.
- [Environments for dev, staging, and production](https://docs.orq.ai/docs/ai-studio/organization/environments.md): Manage environments in Orq.ai workspaces to tag Agent and Evaluator versions and route invocations by environment inste…
- [Webhooks for real-time notifications](https://docs.orq.ai/docs/ai-studio/organization/webhooks.md): Subscribe to Orq.ai events and receive real-time HTTP POST notifications when agents, deployments, prompts, and other r…
- [AI Gateway credits and spending](https://docs.orq.ai/docs/ai-studio/organization/credits.md): Credits are the AI Gateway's budgeting system. Top up the balance, configure auto top-up, and view transaction history.
- [Billing and usage tracking](https://docs.orq.ai/docs/ai-studio/organization/billing-usage.md): Monitor LLM usage, costs, and billing cycles across workspaces. Track token consumption, model generation metrics, and…
- [Getting started with Control Tower](https://docs.orq.ai/docs/control-tower/getting-started.md): Start monitoring your AI agents in Control Tower. Connect a supported framework, send traces, and watch your assets app…
- [Control Tower](https://docs.orq.ai/docs/control-tower/overview.md): Monitor all AI agents in real time with a live dashboard. Track costs, token usage, error rates, and performance across…
- [Control Tower assets](https://docs.orq.ai/docs/control-tower/assets.md): View and manage all AI assets in your workspace from a single page. Browse agents, tools, deployments, and models with…
- [Model Governance](https://docs.orq.ai/docs/control-tower/model-governance.md): Restrict which projects can access an enabled model in the AI Gateway.
- [Workspace security controls](https://docs.orq.ai/docs/ai-studio/organization/workspace-security.md): Verify workspace domains and restrict requests with an IP allowlist.
- [Data compliance and privacy](https://docs.orq.ai/docs/ai-studio/organization/data-compliance.md): Understand Orq.ai data handling, privacy practices, and compliance measures. GDPR, SOC 2, and enterprise security stand…
- [Trust center and compliance](https://docs.orq.ai/docs/enterprise/trust.md): Orq.ai Trust Center with security certifications, compliance documentation, and privacy policies. SOC 2, GDPR, and ente…
- [Governing Shadow AI](https://docs.orq.ai/docs/enterprise/shadow-ai.md): Govern Shadow AI in the enterprise. Use Orq.ai's AI Gateway, observability, and Control Tower to detect and prevent una…
- [VPC deployment on AWS or Azure](https://docs.orq.ai/docs/enterprise/vpc-deployment.md): Deploy Orq.ai within your Virtual Private Cloud on AWS or Azure for enhanced security, compliance, data residency, and…
- [On-premise deployment requirements](https://docs.orq.ai/docs/enterprise/on-prem-requirements.md): Infrastructure requirements for deploying Orq.ai on-premise with Helm: Kubernetes cluster sizing, Gateway API, external…
- [Agent sandbox for on-premise](https://docs.orq.ai/docs/enterprise/agent-sandbox.md): Optional isolated execution of customer Python code on-premise: what the agent sandbox is, how to deploy it, and how to…
- [Integrations](https://docs.orq.ai/docs/ai-studio/integrations/overview.md): Connect LLM providers, AI frameworks, and code assistants to Orq.ai. Route API calls, send observability traces, and bu…
- [Model provider integrations](https://docs.orq.ai/docs/ai-studio/integrations/providers/overview.md): Connect your LLM providers to Orq.ai. Set up API keys for OpenAI, Anthropic, Google, and other supported providers to r…
- [Alibaba](https://docs.orq.ai/docs/ai-studio/integrations/providers/alibaba.md): Route Alibaba Qwen model requests through Orq.ai's AI Gateway. Set up your API key and access Qwen chat and embedding m…
- [Anthropic Claude integration](https://docs.orq.ai/docs/ai-studio/integrations/providers/anthropic.md): Access Claude models through Orq.ai. Use Claude Opus 5, Sonnet 5, and Haiku 4.5 with enhanced routing, caching, and pro…
- [ByteDance](https://docs.orq.ai/docs/ai-studio/integrations/providers/bytedance.md): Route ByteDance model requests through Orq.ai's AI Gateway. Set up your API key and access ByteDance LLMs with built-in…
- [Cerebras](https://docs.orq.ai/docs/ai-studio/integrations/providers/cerebras.md): Route Cerebras inference requests through Orq.ai's AI Gateway. Set up your API key and access Cerebras fast-inference m…
- [Cohere](https://docs.orq.ai/docs/ai-studio/integrations/providers/cohere.md): Route Cohere model requests through Orq.ai's AI Gateway. Set up your API key and access Command, Embed, and Rerank mode…
- [DeepSeek](https://docs.orq.ai/docs/ai-studio/integrations/providers/deepseek.md): Route DeepSeek model requests through Orq.ai's AI Gateway. Set up your API key and access DeepSeek reasoning and chat m…
- [ElevenLabs](https://docs.orq.ai/docs/ai-studio/integrations/providers/elevenlabs.md): Route ElevenLabs requests through Orq.ai's AI Gateway. Set up your API key and access text-to-speech and voice synthesi…
- [Fal](https://docs.orq.ai/docs/ai-studio/integrations/providers/fal.md): Route Fal model requests through Orq.ai's AI Gateway. Set up your API key and access Fal image generation and media mod…
- [Google AI](https://docs.orq.ai/docs/ai-studio/integrations/providers/google-ai.md): Route Google Gemini model requests through Orq.ai's AI Gateway. Set up your Google AI Studio API key for chat, embeddin…
- [Groq](https://docs.orq.ai/docs/ai-studio/integrations/providers/groq.md): Route Groq model requests through Orq.ai's AI Gateway. Set up your API key and access Groq's ultra-fast LPU inference w…
- [H Company](https://docs.orq.ai/docs/ai-studio/integrations/providers/h-company.md): Route H Company Holo3 model requests through Orq.ai's AI Gateway. Set up your API key and access Holo3 models with cach…
- [Inceptron](https://docs.orq.ai/docs/ai-studio/integrations/providers/inceptron.md): Route Inceptron inference through Orq.ai's AI Gateway. Add your API key to access open-source models via Inceptron's Op…
- [Jina](https://docs.orq.ai/docs/ai-studio/integrations/providers/jina.md): Route Jina model requests through Orq.ai's AI Gateway. Set up your API key and access Jina embedding and reranking mode…
- [Leonardo AI](https://docs.orq.ai/docs/ai-studio/integrations/providers/leonardo-ai.md): Route Leonardo AI requests through Orq.ai's AI Gateway. Set up your API key and access Leonardo's image generation mode…
- [LiteLLM custom model provider](https://docs.orq.ai/docs/ai-studio/integrations/providers/litellm.md): Import custom models using LiteLLM integration. Connect self-hosted, private, or custom LLM providers to the AI Gateway…
- [Mistral](https://docs.orq.ai/docs/ai-studio/integrations/providers/mistral.md): Route Mistral model requests through Orq.ai's AI Gateway. Set up your API key and access Mistral chat and embedding mod…
- [Moonshot AI](https://docs.orq.ai/docs/ai-studio/integrations/providers/moonshot-ai.md): Route Moonshot AI model requests through Orq.ai's AI Gateway. Set up your API key and access Moonshot's language models…
- [Nebius](https://docs.orq.ai/docs/ai-studio/integrations/providers/nebius.md): Route Nebius model requests through Orq.ai's AI Gateway. Access open models via Nebius Token Factory's OpenAI-compatibl…
- [OpenAI](https://docs.orq.ai/docs/ai-studio/integrations/providers/openai.md): Route OpenAI model requests through Orq.ai's AI Gateway. Set up your API key and access GPT, DALL-E, and Whisper models…
- [OpenAI-compatible models](https://docs.orq.ai/docs/ai-studio/integrations/providers/open-ai-like.md): Connect any OpenAI-compatible endpoint to Orq.ai's AI Gateway. Configure custom base URLs for self-hosted or private LL…
- [Perplexity](https://docs.orq.ai/docs/ai-studio/integrations/providers/perplexity.md): Route Perplexity model requests through Orq.ai's AI Gateway. Set up your API key and access Perplexity's search-augment…
- [Scaleway](https://docs.orq.ai/docs/ai-studio/integrations/providers/scaleway.md): Route Scaleway Generative APIs inference through Orq.ai's AI Gateway. Add your API key to access open-source models via…
- [TensorX](https://docs.orq.ai/docs/ai-studio/integrations/providers/tensorix.md): Route TensorX model requests through Orq.ai's AI Gateway. Access leading open-source LLMs via TensorX's OpenAI-compatib…
- [Together AI](https://docs.orq.ai/docs/ai-studio/integrations/providers/together-ai.md): Route Together AI model requests through Orq.ai's AI Gateway. Set up your API key and access open-source LLMs hosted on…
- [Wafer](https://docs.orq.ai/docs/ai-studio/integrations/providers/wafer.md): Route Wafer model requests through Orq.ai's AI Gateway. Access GLM, Kimi, and Qwen models via Wafer Serverless with obs…
- [xAI](https://docs.orq.ai/docs/ai-studio/integrations/providers/xai.md): Route xAI Grok model requests through Orq.ai's AI Gateway. Set up your API key and access Grok chat and reasoning model…
- [Z.ai](https://docs.orq.ai/docs/ai-studio/integrations/providers/z-ai.md): Route Z.ai model requests through Orq.ai's AI Gateway. Set up your API key and access Z.ai language models with built-i…
- [Amazon Bedrock](https://docs.orq.ai/docs/ai-studio/integrations/providers/aws-bedrock.md): Connect Amazon Bedrock to Orq.ai's AI Gateway. Configure your AWS access key, secret, and region to route Bedrock model…
- [Azure](https://docs.orq.ai/docs/ai-studio/integrations/providers/azure.md): Connect Azure OpenAI and Azure AI Foundry models to Orq.ai's AI Gateway. Configure your Base URL and API key to route m…
- [Google Vertex AI](https://docs.orq.ai/docs/ai-studio/integrations/providers/vertex-ai.md): Connect Google Vertex AI to Orq.ai for enterprise Gemini access. Configure service account auth, project billing, and d…
- [Coding agent integrations](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/overview.md): Connect coding agents to Orq.ai via MCP or AI Gateway. MCP integrations give agentic access to Agents, experiments, and…
- [Orq MCP Server tools and quickstart](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/orq-mcp.md): Connect AI code assistants to an Orq.ai workspace via the Model Context Protocol. Reference for all 38 available tools…
- [Orq Skills for code assistants](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/orq-skills.md): Extend Claude Code, Cursor, Codex, and other AI assistants with reusable Skills and Commands built for the full Build,…
- [Claude Code | MCP & AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/claude-code.md): Integrate Orq.ai with Claude Code CLI using MCP. Access your workspace, manage experiments, and analyze traces from you…
- [Cursor | MCP & AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/cursor.md): Integrate Orq.ai with Cursor IDE. Connect the Orq MCP server to manage experiments, datasets, and analytics, and route…
- [OpenCode | AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/opencode.md): Route OpenCode model calls through the Orq.ai AI Gateway for unified observability, cost tracking, and model governance.
- [Cline | AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/cline.md): Route Cline through the Orq.ai AI Gateway to access the full model catalog, including Claude, with a single API key.
- [Codex | MCP & AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/codex.md): Integrate Orq.ai with Codex using the Model Context Protocol, and route Codex's model calls through the AI Gateway.
- [Continue | AI Gateway](https://docs.orq.ai/docs/ai-gateway/integrations/code-assistants/continue.md): Route Continue extension model calls through Orq.ai AI Gateway for unified observability, cost tracking, and model gove…
- [Droid | AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/droid.md): Route Claude, GPT, and Gemini models through Orq.ai directly from Droid CLI. Mix providers in a single session using a…
- [GitHub Copilot](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/github-copilot.md): Capture GitHub Copilot agent usage with OpenTelemetry or route Copilot Chat through the Orq.ai AI Gateway using Bring Y…
- [GitHub Copilot CLI | AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/copilot-cli.md): Route the full Orq.ai model catalog through GitHub Copilot CLI using its bring-your-own-key provider config. A few envi…
- [Grok Build | AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/grok-build.md): Route any AI Gateway model through Grok Build, xAI's official CLI. A single config entry connects Grok Build to the ful…
- [Hermes | AI Gateway & MCP](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/hermes.md): Route Hermes Agent model calls through the Orq.ai AI Gateway and connect the Orq MCP server, from the desktop app or th…
- [Kilo Code | AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/kilo-code.md): Route Kilo Code through the Orq.ai AI Gateway to access the full model catalog, including Claude, from a single API key.
- [Kimi Code](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/kimi-code.md): Route Kimi Code model calls through the Orq.ai AI Gateway and connect the Orq MCP server for unified observability, cos…
- [MiMo Code](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/mimo-code.md): Route MiMo Code model calls through the Orq.ai AI Gateway and connect the Orq MCP server for unified observability, cos…
- [OpenCode Desktop](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/opencode-desktop.md): Route OpenCode Desktop model calls through the Orq.ai AI Gateway and connect the Orq MCP server for unified observabili…
- [Pi | AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/pi.md): Route Orq.ai AI Gateway models through the Pi coding agent by registering Orq.ai as a custom provider in a single model…
- [Roo Code | AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/roo-code.md): Route Roo Code through the Orq.ai AI Gateway to access the full model catalog, including Claude, with a single API key.
- [TRAE | AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/trae.md): Route any AI Gateway model through TRAE IDE using its built-in Custom Config panel. One entry for OpenAI-compatible mod…
- [VS Code | MCP](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/vs-code.md): Connect Orq.ai to VS Code via the Model Context Protocol and GitHub Copilot to manage experiments, datasets, and analyt…
- [Warp | AI Gateway & MCP](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/warp.md): Integrate Orq.ai with Warp terminal. Route the Warp Agent through the AI Gateway and connect the Orq MCP server to mana…
- [Zed | AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/code-assistants/zed.md): Route Zed's Agent Panel and Inline Assist through the Orq.ai AI Gateway. Access every model in the catalog, including C…
- [Chat interface integrations](https://docs.orq.ai/docs/ai-studio/integrations/chat-interfaces/overview.md): Connect chat interfaces like Claude Desktop, LibreChat, and Open WebUI to Orq.ai. Route every conversation through the…
- [Claude Desktop | MCP, Skills & Cowork](https://docs.orq.ai/docs/ai-studio/integrations/chat-interfaces/claude-desktop.md): Connect Claude Desktop to Orq.ai with MCP, install agentic Skills, or route Cowork inference through the AI Gateway for…
- [LibreChat | AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/chat-interfaces/librechat.md): Route every LibreChat conversation through the Orq.ai AI Gateway. Add one librechat.yaml endpoint to reach the full mod…
- [Open WebUI | AI Gateway](https://docs.orq.ai/docs/ai-studio/integrations/chat-interfaces/openwebui.md): Route every Open WebUI chat through the Orq.ai AI Gateway. Add one OpenAI connection to reach the full model catalog wi…
- [Framework and SDK integrations](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/overview.md): Integrate the AI Gateway with popular LLM frameworks and SDKs. Connect Langchain, Vercel AI, DSPy, Instructor, and more…
- [LangGraph framework integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/langgraph.md): Connect LangGraph to Orq.ai's AI Gateway for complete observability, built-in reliability, and access to 300+ LLMs acro…
- [LangChain framework integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/langchain.md): Connect Langchain to the AI Gateway for enhanced LLM orchestration. Use Orq.ai as a drop-in provider for chains, agents…
- [OpenAI Agents SDK integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/openai-agents.md): Connect OpenAI Agents SDK to Orq.ai's AI Gateway for complete observability, built-in reliability, and access to 300+ L…
- [Agno framework integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/agno.md): Build production AI agents with Agno and Orq.ai's AI Gateway. Create tool-using agents with complete observability and…
- [Anthropic SDK drop-in integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/anthropic.md): Route Anthropic SDK calls through the Orq.ai AI Gateway. Access fallbacks, caching, load balancing, and cost tracking f…
- [AutoGen multi-agent integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/autogen.md): Connect Microsoft AutoGen to the AI Gateway for multi-agent workflows. Build collaborative AI systems with enhanced rou…
- [AWS Strands Agents integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/aws-strands.md): Connect AWS Strands Agents to Orq.ai's AI Gateway with OpenTelemetry observability. Access 300+ LLMs with built-in reli…
- [Azure AI Agents integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/azure-ai-agents.md): Connect Azure AI Agents to Orq.ai's AI Gateway for complete observability, built-in reliability, and access to 300+ LLM…
- [AWS Bedrock AgentCore integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/aws-bedrock-agentcore.md): Run orq.ai-powered agents inside AWS Bedrock AgentCore. Route LLM calls through the AI Gateway, invoke Orq Agents by ke…
- [BeeAI framework integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/beeai.md): Send BeeAI Framework traces to Orq.ai using OpenTelemetry and OpenInference. Monitor agent workflows, tool calls, and L…
- [Claude Agent SDK | AI Gateway & Observability](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/claude-agent-sdk.md): Instrument the Claude Agent SDK with OpenTelemetry and route its model calls through the Orq.ai AI Gateway. Capture age…
- [CrewAI framework integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/crewai.md): Connect CrewAI to Orq.ai's AI Gateway for complete observability, built-in reliability, and access to 300+ LLMs across…
- [DSPy framework integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/dspy.md): Integrate DSPy with the AI Gateway for optimized LLM programs. Use Stanford's framework for automatic prompt optimizati…
- [Google ADK](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/google-ai.md): Connect Google Agent Development Kit to Orq.ai via OpenTelemetry. Trace agent workflows, tool calls, and Gemini model i…
- [Haystack](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/haystack.md): Send Deepset Haystack traces to Orq.ai via OpenTelemetry. Monitor RAG pipelines, retrieval quality, and LLM generation…
- [Instructor structured output integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/instructor.md): Combine the AI Gateway with Instructor for type-safe LLM responses. Generate Pydantic models and structured JSON output…
- [LiteLLM](https://docs.orq.ai/docs/ai-gateway/integrations/frameworks/litellm.md): Send LiteLLM traces to Orq.ai using OpenTelemetry instrumentation. Monitor LLM calls, costs, and latency across all pro…
- [LiveKit Agents integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/livekit.md): Connect LiveKit Agents to Orq.ai's AI Gateway for complete observability, built-in reliability, and access to 300+ LLMs…
- [LlamaIndex Agents integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/llamaindex-agents.md): Connect LlamaIndex Agents to Orq.ai's AI Gateway for complete observability, built-in reliability, and access to 300+ L…
- [LlamaIndex framework integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/llamaindex.md): Connect LlamaIndex to Orq.ai's AI Gateway for complete observability, built-in reliability, and access to 300+ LLMs acr…
- [Mastra framework integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/mastra.md): Connect Mastra to Orq.ai's AI Gateway for complete observability, built-in reliability, and access to 300+ LLMs across…
- [OpenAI SDK drop-in integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/openai.md): Use the AI Gateway with OpenAI SDK. Replace OpenAI base URL with Orq.ai for routing, caching, monitoring, and multi-pro…
- [OpenClaw](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/openclaw.md): Send OpenClaw framework traces to Orq.ai via OpenTelemetry. Monitor agent interactions, tool calls, and LLM performance…
- [Pydantic AI integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/pydantic-ai.md): Connect Pydantic AI to Orq.ai's AI Gateway for complete observability, built-in reliability, and access to 300+ LLMs ac…
- [Microsoft Semantic Kernel integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/semantic-kernel.md): Connect Microsoft Semantic Kernel to Orq.ai's AI Gateway for complete observability, built-in reliability, and access t…
- [SmolAgents integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/smolagents.md): Connect HuggingFace SmolAgents to Orq.ai's AI Gateway for 300+ LLMs and send traces via OpenTelemetry for full agent ob…
- [Vercel AI SDK integration](https://docs.orq.ai/docs/ai-studio/integrations/frameworks/vercel-ai.md): Use the AI Gateway with Vercel AI SDK for streaming LLM responses. Build real-time AI chat interfaces with React Server…
- [Automation platform integrations](https://docs.orq.ai/docs/ai-studio/integrations/automation/overview.md): Connect Orq.ai Deployments, Agents, and Knowledge Bases to automation platforms like n8n, Power Automate, and Camunda t…
- [n8n | Workflow Automation with Orq.ai](https://docs.orq.ai/docs/ai-studio/integrations/automation/n8n.md): Use the Orq.ai community nodes in n8n to run agents, invoke deployments, and search knowledge bases inside your automat…
- [Orq SDKs](https://docs.orq.ai/reference/client-libraries.md): Install and configure the official Orq.ai SDKs for Python and Node.js. Authenticate with your API key and start making…
- [Agents SDK Reference](https://docs.orq.ai/reference/sdk/agents.md): SDK reference for the Agents API, available in Node.js and Python.
- [Alerts SDK Reference](https://docs.orq.ai/reference/sdk/alerts.md): SDK reference for the Alerts API, available in Node.js and Python.
- [Responses SDK Reference](https://docs.orq.ai/reference/sdk/responses.md): SDK reference for the Responses API, available in Node.js and Python.
- [Annotations SDK Reference](https://docs.orq.ai/reference/sdk/annotations.md): SDK reference for the Annotations API, available in Node.js and Python.
- [Annotation Queues SDK Reference](https://docs.orq.ai/reference/sdk/annotationqueues.md): SDK reference for the Annotation Queues API, available in Node.js and Python.
- [API Keys SDK Reference](https://docs.orq.ai/reference/sdk/apikeys.md): SDK reference for the API Keys API, available in Node.js and Python.
- [Budgets SDK Reference](https://docs.orq.ai/reference/sdk/budgets.md): SDK reference for the Budgets API, available in Node.js and Python.
- [Chunking SDK Reference](https://docs.orq.ai/reference/sdk/chunking.md): SDK reference for the Chunking API, available in Node.js and Python.
- [Datasets SDK Reference](https://docs.orq.ai/reference/sdk/datasets.md): SDK reference for the Datasets API, available in Node.js and Python.
- [Deployments SDK Reference](https://docs.orq.ai/reference/sdk/deployments.md): SDK reference for the Deployments API, available in Node.js and Python.
- [Evals SDK Reference](https://docs.orq.ai/reference/sdk/evals.md): SDK reference for the Evals API, available in Node.js and Python.
- [Feedback SDK Reference](https://docs.orq.ai/reference/sdk/feedback.md): SDK reference for the Feedback API, available in Node.js and Python.
- [Files SDK Reference](https://docs.orq.ai/reference/sdk/files.md): SDK reference for the Files API, available in Node.js and Python.
- [Guardrail Rules SDK Reference](https://docs.orq.ai/reference/sdk/guardrailrules.md): SDK reference for the Guardrail Rules API, available in Node.js and Python.
- [Human Review Sets SDK Reference](https://docs.orq.ai/reference/sdk/humanreviewsets.md): SDK reference for the Human Review Sets API, available in Node.js and Python.
- [Identities SDK Reference](https://docs.orq.ai/reference/sdk/identities.md): SDK reference for the Identities API, available in Node.js and Python.
- [Knowledge SDK Reference](https://docs.orq.ai/reference/sdk/knowledge.md): SDK reference for the Knowledge API, available in Node.js and Python.
- [Logs SDK Reference](https://docs.orq.ai/reference/sdk/logs.md): SDK reference for the Logs API, available in Node.js and Python.
- [Management Keys SDK Reference](https://docs.orq.ai/reference/sdk/managementkeys.md): SDK reference for the Management Keys API, available in Node.js and Python.
- [Memory Stores SDK Reference](https://docs.orq.ai/reference/sdk/memorystores.md): SDK reference for the Memory Stores API, available in Node.js and Python.
- [Models SDK Reference](https://docs.orq.ai/reference/sdk/models.md): SDK reference for the Models API, available in Node.js and Python.
- [Notifiers SDK Reference](https://docs.orq.ai/reference/sdk/notifiers.md): SDK reference for the Notifiers API, available in Node.js and Python.
- [Agents.Responses SDK Reference](https://docs.orq.ai/reference/sdk/orqresponses.md): SDK reference for the Agents.Responses API, available in Node.js and Python.
- [People SDK Reference](https://docs.orq.ai/reference/sdk/people.md): SDK reference for the People API, available in Node.js and Python.
- [PII SDK Reference](https://docs.orq.ai/reference/sdk/pii.md): SDK reference for the PII API, available in Node.js and Python.
- [Policies SDK Reference](https://docs.orq.ai/reference/sdk/policies.md): SDK reference for the Policies API, available in Node.js and Python.
- [Projects SDK Reference](https://docs.orq.ai/reference/sdk/projects.md): SDK reference for the Projects API, available in Node.js and Python.
- [Prompts SDK Reference](https://docs.orq.ai/reference/sdk/prompts.md): SDK reference for the Prompts API, available in Node.js and Python.
- [Reporting SDK Reference](https://docs.orq.ai/reference/sdk/reporting.md): SDK reference for the Reporting API, available in Node.js and Python.
- [Routing Rules SDK Reference](https://docs.orq.ai/reference/sdk/routingrules.md): SDK reference for the Routing Rules API, available in Node.js and Python.
- [Schedules SDK Reference](https://docs.orq.ai/reference/sdk/schedules.md): SDK reference for the Schedules API, available in Node.js and Python.
- [Skills SDK Reference](https://docs.orq.ai/reference/sdk/skills.md): SDK reference for the Skills API, available in Node.js and Python.
- [Smart Routers SDK Reference](https://docs.orq.ai/reference/sdk/smartrouters.md): SDK reference for the Smart Routers API, available in Node.js and Python.
- [Tools SDK Reference](https://docs.orq.ai/reference/sdk/tools.md): SDK reference for the Tools API, available in Node.js and Python.
- [Traces SDK Reference](https://docs.orq.ai/reference/sdk/traces.md): SDK reference for the Traces API, available in Node.js and Python.
- [Webhooks SDK Reference](https://docs.orq.ai/reference/sdk/webhooks.md): SDK reference for the Webhooks API, available in Node.js and Python.
- [Workspace Settings SDK Reference](https://docs.orq.ai/reference/sdk/workspacesettings.md): SDK reference for the Workspace Settings API, available in Node.js and Python.
- [Router SDK Reference](https://docs.orq.ai/reference/sdk/router.md): SDK reference for the Router API, available in Node.js and Python.
- [Router.Completions SDK Reference](https://docs.orq.ai/reference/sdk/completions.md): SDK reference for the Router.Completions API, available in Node.js and Python.
- [Router.Chat.Completions SDK Reference](https://docs.orq.ai/reference/sdk/orqcompletions.md): SDK reference for the Router.Chat.Completions API, available in Node.js and Python.
- [Router.Embeddings SDK Reference](https://docs.orq.ai/reference/sdk/embeddings.md): SDK reference for the Router.Embeddings API, available in Node.js and Python.
- [Router.Audio.Speech SDK Reference](https://docs.orq.ai/reference/sdk/speech.md): SDK reference for the Router.Audio.Speech API, available in Node.js and Python.
- [Router.Audio.Transcriptions SDK Reference](https://docs.orq.ai/reference/sdk/transcriptions.md): SDK reference for the Router.Audio.Transcriptions API, available in Node.js and Python.
- [Router.Audio.Translations SDK Reference](https://docs.orq.ai/reference/sdk/translations.md): SDK reference for the Router.Audio.Translations API, available in Node.js and Python.
- [Router.Images.Generations SDK Reference](https://docs.orq.ai/reference/sdk/generations.md): SDK reference for the Router.Images.Generations API, available in Node.js and Python.
- [Router.Images.Edits SDK Reference](https://docs.orq.ai/reference/sdk/edits.md): SDK reference for the Router.Images.Edits API, available in Node.js and Python.
- [Router.Images.Variations SDK Reference](https://docs.orq.ai/reference/sdk/variations.md): SDK reference for the Router.Images.Variations API, available in Node.js and Python.
- [Router.Moderations SDK Reference](https://docs.orq.ai/reference/sdk/moderations.md): SDK reference for the Router.Moderations API, available in Node.js and Python.
- [Router.Rerank SDK Reference](https://docs.orq.ai/reference/sdk/rerank.md): SDK reference for the Router.Rerank API, available in Node.js and Python.
- [API Error Codes](https://docs.orq.ai/reference/errors.md): Reference for all Orq.ai API error codes: HTTP status, cause, and resolution.
- [Orq CLI](https://docs.orq.ai/reference/cli.md): Install and authenticate the Orq.ai CLI. Manage prompts, agents, deployments, knowledge bases, evaluators, and the rest…
- [Terraform](https://docs.orq.ai/reference/terraform.md): Manage Orq.ai workspaces as code with the official Terraform provider.
- [Terraform Quickstart](https://docs.orq.ai/reference/terraform/quickstart.md): Provision an Orq.ai project, enable a model, and mint a scoped API key in one apply.
- [Terraform Resources](https://docs.orq.ai/reference/terraform/resources.md): Every resource the Orq.ai Terraform provider manages, with links to the full reference.
- [Enterprise Baseline](https://docs.orq.ai/reference/terraform/enterprise-baseline.md): A pre-written Terraform configuration for a locked-down Orq.ai workspace: model enforcement, workspace-wide PII redacti…
- [List schedules](https://docs.orq.ai/reference/agent-schedules/list-schedules.md): Lists all schedules attached to the specified agent, most recent first.
- [Create schedule](https://docs.orq.ai/reference/agent-schedules/create-schedule.md): Creates a schedule that runs the agent on a cron cadence. Only `cron` is accepted, as a 6-field expression firing at mo…
- [Retrieve schedule](https://docs.orq.ai/reference/agent-schedules/retrieve-schedule.md): Retrieves a single schedule by ID.
- [Delete schedule](https://docs.orq.ai/reference/agent-schedules/delete-schedule.md): Permanently removes the schedule. It will not run again.
- [Update schedule](https://docs.orq.ai/reference/agent-schedules/update-schedule.md): Partially updates a schedule. Any omitted field is left unchanged. Changing `expression` or `type` (or reactivating fro…
- [Trigger schedule execution](https://docs.orq.ai/reference/agent-schedules/trigger-schedule-execution.md): Runs the schedule's payload immediately (approximately 10 seconds after the request). The schedule's regular cadence is…
- [List agents](https://docs.orq.ai/reference/agents/list-agents.md): Retrieves a comprehensive list of agents configured in your workspace. Supports pagination for large datasets and retur…
- [Create agent](https://docs.orq.ai/reference/agents/create-agent.md): Creates a new agent with the specified configuration, including model selection, instructions, tools, and knowledge bas…
- [Retrieve agent](https://docs.orq.ai/reference/agents/retrieve-agent.md): Retrieves detailed information about a specific agent identified by its unique key or identifier. Returns the complete…
- [Delete agent](https://docs.orq.ai/reference/agents/delete-agent.md): Permanently removes an agent from the workspace. This operation is irreversible and will delete all associated configur…
- [Update agent](https://docs.orq.ai/reference/agents/update-agent.md): Modifies an existing agent's configuration with partial updates. Supports updating any aspect of the agent including mo…
- [Invoke an agent](https://docs.orq.ai/reference/agents/invoke-agent.md): Creates a model response for the given input. Returns a response object or a stream of server-sent events.
- [Create response](https://docs.orq.ai/reference/agents/create-response.md): Initiates an agent conversation and returns a complete response. This endpoint manages the full lifecycle of an agent i…
- [Get response](https://docs.orq.ai/reference/agents/get-response.md): Retrieves the current state of an agent response by task ID. Returns the response output, model information, token usag…
- [Execute an agent task](https://docs.orq.ai/reference/agents/execute-an-agent-task.md): Invokes an agent to perform a task with the provided input message. The agent will process the request using its config…
- [Run an agent with configuration](https://docs.orq.ai/reference/agents/run-an-agent-with-configuration.md): Executes an agent using inline configuration or references an existing agent. Supports dynamic agent creation where the…
- [Run agent with streaming response](https://docs.orq.ai/reference/agents/run-agent-with-streaming-response.md): Dynamically configures and executes an agent while streaming the interaction in real-time via Server-Sent Events (SSE).…
- [Stream agent execution in real-time](https://docs.orq.ai/reference/agents/stream-agent-execution-in-real-time.md): Executes an agent and streams the interaction in real-time using Server-Sent Events (SSE). Provides live updates as the…
- [List alerts](https://docs.orq.ai/reference/alerts/list-alerts.md): Returns the alerts visible to the caller, newest first. Use `starting_after` or `ending_before` to page.
- [Create an alert](https://docs.orq.ai/reference/alerts/create-an-alert.md): Creates a threshold alert in a project. The alert's query is validated against the Reporting API metric catalogue and t…
- [Retrieve an alert](https://docs.orq.ai/reference/alerts/retrieve-an-alert.md): Retrieves an alert by ID.
- [Delete an alert](https://docs.orq.ai/reference/alerts/delete-an-alert.md): Permanently deletes an alert together with its trigger history and events, and stops the evaluation schedule.
- [Update an alert](https://docs.orq.ai/reference/alerts/update-an-alert.md): Updates alert metadata, query, condition, notifiers, or enabled state. Query and condition changes restart the evaluati…
- [List alert triggers](https://docs.orq.ai/reference/alerts/list-alert-triggers.md): Returns the trigger history of an alert, newest first. A trigger is one breach incident: it opens when the threshold is…
- [List alert trigger events](https://docs.orq.ai/reference/alerts/list-alert-trigger-events.md): Returns the evaluation events recorded while a trigger was open, newest first. Each event carries the observed value an…
- [List annotation queues](https://docs.orq.ai/reference/annotation-queues/list-annotation-queues.md): Retrieves a paginated list of annotation queues for the current workspace. Results can be paginated using cursor-based…
- [Create an annotation queue](https://docs.orq.ai/reference/annotation-queue/create-an-annotation-queue.md)
- [Retrieve an annotation queue](https://docs.orq.ai/reference/annotation-queues/retrieve-an-annotation-queue.md): Retrieves a specific annotation queue by its unique identifier
- [Edit an annotation queue](https://docs.orq.ai/reference/annotation-queue/edit-an-annotation-queue.md)
- [Delete an annotation queue](https://docs.orq.ai/reference/annotation-queue/delete-an-annotation-queue.md)
- [Delete all items](https://docs.orq.ai/reference/annotation-queues/delete-all-items.md): Delete all items from an annotation queue. This action is irreversible.
- [Add items to an annotation queue](https://docs.orq.ai/reference/annotation-queue/add-items-to-an-annotation-queue.md): Adds items to the specified annotation queue.
- [Remove annotation queue items](https://docs.orq.ai/reference/annotation-queue/remove-annotation-queue-items.md): Removes items from the specified annotation queue.
- [Query items from an annotation queue](https://docs.orq.ai/reference/annotation-queue/query-items-from-an-annotation-queue.md): Queries items from the specified annotation queue.
- [Retrieve an annotation queue item](https://docs.orq.ai/reference/annotation-queue/retrieve-an-annotation-queue-item.md): Retrieves an item from the specified annotation queue in its expanded form. An annotation queue item is a pointer to a…
- [Annotate a span](https://docs.orq.ai/reference/annotations/annotate-a-span.md): Attach one or more annotations to a specific span. A standard annotation references a human review by key and supplies…
- [Remove an annotation from a span](https://docs.orq.ai/reference/annotations/remove-an-annotation-from-a-span.md): Remove one or more annotations from a specific span by their evaluator keys, or remove corrections by the eval ids of t…
- [List API keys](https://docs.orq.ai/reference/api-keys/list-api-keys.md): Returns API keys visible to the current workspace as a JSON array. Raw tokens are never included; the `token` field con…
- [Create a new API key](https://docs.orq.ai/reference/api-keys/create-a-new-api-key.md): Mints a new opaque API key (`sk-orq-<key_id>-<secret>`) in the workspace. The raw secret is returned ONCE in the respon…
- [List capability catalog](https://docs.orq.ai/reference/api-keys/list-capability-catalog.md): Returns the capability catalog: the set of permission domains that can be granted to an API key. Each entry includes th…
- [Retrieve an API key](https://docs.orq.ai/reference/api-keys/retrieve-an-api-key.md): Retrieves the metadata for an existing API key by its unique identifier. The raw secret is never returned — only `token…
- [Delete an API key](https://docs.orq.ai/reference/api-keys/delete-an-api-key.md): Permanently deletes an API key. The key is revoked immediately; in-flight requests using it will fail. The response bod…
- [Update an API key](https://docs.orq.ai/reference/api-keys/update-an-api-key.md): Updates mutable fields of an API key: display name, status (active / disabled / revoked), permission mode and access ma…
- [Create speech](https://docs.orq.ai/reference/audio/create-speech.md): Generates audio from the input text.
- [Create transcription](https://docs.orq.ai/reference/audio/create-transcription.md): Transcribe audio files to text using the AI Router. Supports multiple audio formats and languages with automatic speech…
- [Create translation](https://docs.orq.ai/reference/audio/create-translation.md): Translate audio files to English text using the AI Router. Converts speech in any supported language to an English text…
- [List budgets](https://docs.orq.ai/reference/budgets/list-budgets.md): Returns budgets visible to the current workspace, ordered by creation time with the newest first. Supports filtering by…
- [Create a new budget](https://docs.orq.ai/reference/budgets/create-a-new-budget.md): Creates a new budget in the workspace. Exactly one scope variant must be set (workspace / project / identity / api_key…
- [Retrieve a budget](https://docs.orq.ai/reference/budgets/retrieve-a-budget.md): Retrieves the metadata for an existing budget by its unique identifier. Returns `NotFound` when the budget does not exi…
- [Delete a budget](https://docs.orq.ai/reference/budgets/delete-a-budget.md): Permanently deletes a budget. Its consumption counters are cleared immediately. The response body is empty on success.
- [Update a budget](https://docs.orq.ai/reference/budgets/update-a-budget.md): Updates mutable fields of a budget: limits, rate limit, activation, and expiration. The scope is immutable — to change…
- [Reset budget consumption](https://docs.orq.ai/reference/budgets/reset-budget-consumption.md): Clears the current-period cost, token, and request counters for the budget. The budget record itself is preserved.
- [Create chat completion](https://docs.orq.ai/reference/chat/create-chat-completion.md): Creates a model response for the given chat conversation with support for retries, fallbacks, prompts, and variables.
- [Parse text](https://docs.orq.ai/reference/chunking/parse-text.md): Split large text documents into smaller, manageable chunks using different chunking strategies optimized for RAG (Retri…
- [Create completion](https://docs.orq.ai/reference/completions/create-completion.md): For sending requests to legacy completion models
- [List conversations](https://docs.orq.ai/reference/conversations/list-conversations.md)
- [Create conversation](https://docs.orq.ai/reference/conversations/create-conversation.md)
- [Retrieve conversation](https://docs.orq.ai/reference/conversations/retrieve-conversation.md)
- [Delete conversation](https://docs.orq.ai/reference/conversations/delete-conversation.md)
- [Update conversation](https://docs.orq.ai/reference/conversations/update-conversation.md)
- [List datasets](https://docs.orq.ai/reference/datasets/list-datasets.md): Retrieves a paginated list of datasets for the current workspace. Results can be paginated using cursor-based paginatio…
- [Create a dataset](https://docs.orq.ai/reference/datasets/create-a-dataset.md): Creates a new dataset in the specified project.
- [Retrieve a dataset](https://docs.orq.ai/reference/datasets/retrieve-a-dataset.md): Retrieves a specific dataset by its unique identifier
- [Delete a dataset](https://docs.orq.ai/reference/datasets/delete-a-dataset.md): Permanently deletes a dataset and all its datapoints. This action is irreversible.
- [Update a dataset](https://docs.orq.ai/reference/datasets/update-a-dataset.md): Update a dataset
- [List datapoints](https://docs.orq.ai/reference/datasets/list-datapoints.md): Retrieves a paginated list of datapoints from a specific dataset.
- [Create a datapoint](https://docs.orq.ai/reference/datasets/create-a-datapoint.md): Creates a new datapoint in the specified dataset.
- [Retrieve a datapoint](https://docs.orq.ai/reference/datasets/retrieve-a-datapoint.md): Retrieves a datapoint object
- [Delete a datapoint](https://docs.orq.ai/reference/datasets/delete-a-datapoint.md): Permanently deletes a specific datapoint from a dataset.
- [Update a datapoint](https://docs.orq.ai/reference/datasets/update-a-datapoint.md)
- [Delete all datapoints](https://docs.orq.ai/reference/datasets/delete-all-datapoints.md): Delete all datapoints from a dataset. This action is irreversible.
- [List all deployments](https://docs.orq.ai/reference/deployments/list-all-deployments.md): Returns a list of your deployments. The deployments are returned sorted by creation date, with the most recent deployme…
- [Get config](https://docs.orq.ai/reference/deployments/get-config.md): Retrieve the deployment configuration
- [Invoke](https://docs.orq.ai/reference/deployments/invoke.md): Invoke a deployment with a given payload
- [Stream](https://docs.orq.ai/reference/deployments/stream.md): Stream deployment generation. Only supported for completions and chat completions.
- [Create embeddings](https://docs.orq.ai/reference/embeddings/create-embeddings.md): Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
- [Get all Evaluators](https://docs.orq.ai/reference/evals/get-all-evaluators.md)
- [Retrieve an Evaluator](https://docs.orq.ai/reference/evals/retrieve-an-evaluator.md): Retrieve a single evaluator by its unique identifier. Returns the evaluator exactly as stored, including its type-speci…
- [Create an Evaluator](https://docs.orq.ai/reference/evals/create-an-evaluator.md)
- [Delete an Evaluator](https://docs.orq.ai/reference/evals/delete-an-evaluator.md)
- [Update an Evaluator](https://docs.orq.ai/reference/evals/update-an-evaluator.md)
- [Invoke a Custom Evaluator](https://docs.orq.ai/reference/evals/invoke-a-custom-evaluator.md)
- [List evaluator versions](https://docs.orq.ai/reference/evals/list-evaluator-versions.md): Returns version history for a specific evaluator
- [List all files](https://docs.orq.ai/reference/files/list-all-files.md): Returns a list of the files that your account has access to. orq.ai sorts and returns the files by their creation dates…
- [Upload a file](https://docs.orq.ai/reference/files/upload-a-file.md): Files are used to upload documents that can be used with features like Deployments.
- [Retrieve a file](https://docs.orq.ai/reference/files/retrieve-a-file.md): Retrieves the details of an existing file object. After you supply a unique file ID, orq.ai returns the corresponding f…
- [Delete a file](https://docs.orq.ai/reference/files/delete-a-file.md): Permanently deletes a file and its stored content from the project.
- [Update a file](https://docs.orq.ai/reference/files/update-a-file.md): Updates the metadata of an existing file object.
- [Download file content](https://docs.orq.ai/reference/files/download-file-content.md): Returns a presigned URL for downloading the file content by file ID.
- [List guardrail rules](https://docs.orq.ai/reference/guardrail-rules/list-guardrail-rules.md): Returns guardrail rules with cursor pagination, search, status, project, sort, and referenced-guardrail filters.
- [Create a guardrail rule](https://docs.orq.ai/reference/guardrail-rules/create-guardrail-rule.md): Creates a guardrail rule with metadata and optional evaluator, plugin, timeout, and matching configuration. Rules defau…
- [Retrieve a guardrail rule](https://docs.orq.ai/reference/guardrail-rules/get-guardrail-rule.md): Retrieves a guardrail rule by its unique identifier.
- [Delete a guardrail rule](https://docs.orq.ai/reference/guardrail-rules/delete-guardrail-rule.md): Permanently deletes a guardrail rule.
- [Update a guardrail rule](https://docs.orq.ai/reference/guardrail-rules/update-guardrail-rule.md): Partially updates guardrail-rule metadata or configuration. Project scope is immutable.
- [List identities](https://docs.orq.ai/reference/identities/list-identities.md): Retrieves a paginated list of identities in your workspace. Use pagination parameters to navigate through large identit…
- [Create an identity](https://docs.orq.ai/reference/identities/create-an-identity.md): Creates a new identity with a unique external_id. If an identity with the same external_id already exists, the operatio…
- [Retrieve an identity](https://docs.orq.ai/reference/identities/retrieve-an-identity.md): Retrieves detailed information about a specific identity using their identity ID or external ID from your system.
- [Delete an identity](https://docs.orq.ai/reference/identities/delete-an-identity.md): Permanently deletes an identity from your workspace and cleans up associated budget configurations.
- [Update an identity](https://docs.orq.ai/reference/identities/update-an-identity.md): Updates specific fields of an existing identity. Only the fields provided in the request body will be updated.
- [Create image](https://docs.orq.ai/reference/images/create-image.md): Create an Image
- [Create image edit](https://docs.orq.ai/reference/images/create-image-edit.md): Edit an Image
- [Create image variation](https://docs.orq.ai/reference/images/create-image-variation.md): Create an Image Variation
- [List all knowledge bases](https://docs.orq.ai/reference/knowledge-bases/list-all-knowledge-bases.md): Returns a list of your knowledge bases. The knowledge bases are returned sorted by creation date, with the most recent…
- [Create a knowledge](https://docs.orq.ai/reference/knowledge-bases/create-a-knowledge.md)
- [Retrieves a knowledge base](https://docs.orq.ai/reference/knowledge-bases/retrieves-a-knowledge-base.md): Retrieve a knowledge base with the settings.
- [Deletes a knowledge](https://docs.orq.ai/reference/knowledge-bases/deletes-a-knowledge.md): Deletes a knowledge base. Deleting a knowledge base will delete all the datasources and chunks associated with it.
- [Updates a knowledge](https://docs.orq.ai/reference/knowledge-bases/updates-a-knowledge.md)
- [Search knowledge base](https://docs.orq.ai/reference/knowledge-bases/search-knowledge-base.md): Search a Knowledge Base and return the most similar chunks, along with their search and rerank scores. Note that all co…
- [List all datasources](https://docs.orq.ai/reference/knowledge-bases/list-all-datasources.md)
- [Create a new datasource](https://docs.orq.ai/reference/knowledge-bases/create-a-new-datasource.md)
- [Retrieve a datasource](https://docs.orq.ai/reference/knowledge-bases/retrieve-a-datasource.md)
- [Deletes a datasource](https://docs.orq.ai/reference/knowledge-bases/deletes-a-datasource.md): Deletes a datasource from a knowledge base. Deleting a datasource will remove it from the knowledge base and all associ…
- [Update a datasource](https://docs.orq.ai/reference/knowledge-bases/update-a-datasource.md)
- [List all chunks for a datasource](https://docs.orq.ai/reference/knowledge-bases/list-all-chunks-for-a-datasource.md)
- [Create chunks for a datasource](https://docs.orq.ai/reference/knowledge-bases/create-chunks-for-a-datasource.md)
- [Delete multiple chunks](https://docs.orq.ai/reference/knowledge-bases/delete-multiple-chunks.md)
- [List chunks with offset-based pagination](https://docs.orq.ai/reference/knowledge-bases/list-chunks-with-offset-based-pagination.md)
- [Get chunks total count](https://docs.orq.ai/reference/knowledge-bases/get-chunks-total-count.md): Returns the total count of chunks in a datasource. When `q` is provided, the count reflects indexed chunks only — recen…
- [Retrieve a chunk](https://docs.orq.ai/reference/knowledge-bases/retrieve-a-chunk.md)
- [Delete a chunk](https://docs.orq.ai/reference/knowledge-bases/delete-a-chunk.md)
- [Update a chunk](https://docs.orq.ai/reference/knowledge-bases/update-a-chunk.md)
- [List management keys](https://docs.orq.ai/reference/management-keys/list-management-keys.md): Returns management keys in the current workspace, ordered by creation time with the newest key first. The `api_key` and…
- [Create a new management key](https://docs.orq.ai/reference/management-keys/create-a-new-management-key.md): Mints a new opaque management key (`sk-orq-<key_id>-<secret>`) in the workspace. The raw secret is returned ONCE in the…
- [List management capability catalog](https://docs.orq.ai/reference/management-keys/list-management-capability-catalog.md): Returns the management capability catalog: the set of workspace-admin permission domains that can be granted to a manag…
- [Retrieve a management key](https://docs.orq.ai/reference/management-keys/retrieve-a-management-key.md): Retrieves the metadata for an existing management key by its unique identifier. The raw secret is never returned — only…
- [Delete a management key](https://docs.orq.ai/reference/management-keys/delete-a-management-key.md): Permanently deletes a management key. Cache entries are invalidated immediately so an in-flight token cannot ride out t…
- [Update a management key](https://docs.orq.ai/reference/management-keys/update-a-management-key.md): Updates mutable fields of a management key: display name, status (active / disabled / revoked), permission mode and acc…
- [List memory stores](https://docs.orq.ai/reference/memory-stores/list-memory-stores.md): Retrieves a paginated list of memory stores in the workspace. Use cursor-based pagination parameters to navigate throug…
- [Create memory store](https://docs.orq.ai/reference/memory-stores/create-memory-store.md)
- [Retrieve memory store](https://docs.orq.ai/reference/memory-stores/retrieve-memory-store.md): Retrieves detailed information about a specific memory store, including its configuration and metadata.
- [Delete memory store](https://docs.orq.ai/reference/memory-stores/delete-memory-store.md): Permanently delete a memory store, including memories and documents.
- [Update memory store](https://docs.orq.ai/reference/memory-stores/update-memory-store.md): Update the memory store configuration
- [List all memories](https://docs.orq.ai/reference/memory-stores/list-all-memories.md): Retrieves a paginated list of memories for the memory store
- [Create a new memory](https://docs.orq.ai/reference/memory-stores/create-a-new-memory.md): Creates a new memory in the specified memory store.
- [Retrieve a specific memory](https://docs.orq.ai/reference/memory-stores/retrieve-a-specific-memory.md): Retrieves details of a specific memory by its ID
- [Delete a specific memory](https://docs.orq.ai/reference/memory-stores/delete-a-specific-memory.md): Permanently deletes a specific memory.
- [Update a specific memory](https://docs.orq.ai/reference/memory-stores/update-a-specific-memory.md): Updates the details of a specific memory.
- [List all documents for a memory](https://docs.orq.ai/reference/memory-stores/list-all-documents-for-a-memory.md): Retrieves a paginated list of documents associated with a specific memory.
- [Create a new memory document](https://docs.orq.ai/reference/memory-stores/create-a-new-memory-document.md): Creates a new document in the specified memory.
- [Retrieve a specific memory document](https://docs.orq.ai/reference/memory-stores/retrieve-a-specific-memory-document.md): Retrieves details of a specific memory document by its ID.
- [Delete a specific memory document](https://docs.orq.ai/reference/memory-stores/delete-a-specific-memory-document.md): Permanently deletes a specific memory document.
- [Update a specific memory document](https://docs.orq.ai/reference/memory-stores/update-a-specific-memory-document.md): Updates the details of a specific memory document.
- [List workspace models](https://docs.orq.ai/reference/models/list-models.md): Lists all available models for the workspace, including system and custom models with their enabled status.
- [List router models](https://docs.orq.ai/reference/models/list-router-models.md): Lists all models available through the AI Router. Returns each model in OpenAI-compatible shape with its provider, ID,…
- [Create moderation](https://docs.orq.ai/reference/moderations/create-moderation.md): Run content moderation on text input using the AI Router. Classify content against safety categories and get scores for…
- [List notifiers](https://docs.orq.ai/reference/notifiers/list-notifiers.md): Returns notifier destinations visible to the caller, ordered by creation time with the newest notifier first.
- [Create a notifier](https://docs.orq.ai/reference/notifiers/create-a-notifier.md): Creates a notifier destination in a project. Choose `NOTIFIER_TYPE_EMAIL`, `NOTIFIER_TYPE_SLACK_WEBHOOK`, or `NOTIFIER_…
- [Retrieve a notifier](https://docs.orq.ai/reference/notifiers/retrieve-a-notifier.md): Retrieves an existing notifier by ID.
- [Delete a notifier](https://docs.orq.ai/reference/notifiers/delete-a-notifier.md): Deletes an existing notifier by ID.
- [Update a notifier](https://docs.orq.ai/reference/notifiers/update-a-notifier.md): Partially updates an existing notifier. When changing `type`, provide the destination fields required by the new notifi…
- [Create ocr](https://docs.orq.ai/reference/ocr/create-ocr.md): Extracts text content while maintaining document structure and hierarchy
- [List all projects](https://docs.orq.ai/reference/projects/list-all-projects.md): Returns projects visible to the current workspace, ordered by creation time with the newest project first. Use `startin…
- [Create a new project](https://docs.orq.ai/reference/projects/create-a-new-project.md): Creates a project in the current workspace. Projects are workspace-level containers for resources such as skills, deplo…
- [Retrieve a project](https://docs.orq.ai/reference/projects/retrieve-a-project.md): Retrieves the details of an existing project by its unique project ID.
- [Delete a project](https://docs.orq.ai/reference/projects/delete-a-project.md): Deletes a project from the workspace. The response body is empty when the delete succeeds.
- [Update a project](https://docs.orq.ai/reference/projects/update-a-project.md): Updates the specified project by setting the values of the parameters passed.
- [List all prompts](https://docs.orq.ai/reference/prompts/list-all-prompts.md): Returns a list of your prompts. The prompts are returned sorted by creation date, with the most recent prompts appearin…
- [Create a prompt](https://docs.orq.ai/reference/prompts/create-a-prompt.md)
- [Retrieve a prompt](https://docs.orq.ai/reference/prompts/retrieve-a-prompt.md): Retrieves a prompt object
- [Delete a prompt](https://docs.orq.ai/reference/prompts/delete-a-prompt.md)
- [Update a prompt](https://docs.orq.ai/reference/prompts/update-a-prompt.md)
- [List all prompt versions](https://docs.orq.ai/reference/prompts/list-all-prompt-versions.md): Returns a list of your prompt versions. The prompt versions are returned sorted by creation date, with the most recent…
- [Retrieve a prompt version](https://docs.orq.ai/reference/prompts/retrieve-a-prompt-version.md): Retrieves a specific version of a prompt by its ID and version ID.
- [Query reporting metrics](https://docs.orq.ai/reference/reporting/query-reporting-metrics.md): Returns time-series, scalar, and top-list analytics for AI usage, cost, latency, evaluator results, and guardrail outco…
- [Create rerank](https://docs.orq.ai/reference/rerank/create-rerank.md): Rerank a list of documents based on their relevance to a query.
- [Create response](https://docs.orq.ai/reference/responses/create-response.md): Creates a model response for the given input. Returns a response object or a stream of server-sent events.
- [Retrieve response](https://docs.orq.ai/reference/responses/retrieve-response.md): Retrieves a previously created response by its ID.
- [List routing rules](https://docs.orq.ai/reference/routing-rules/list-routing-rules.md): Returns routing rules ordered by ascending priority. Supports cursor pagination, search, status, project, and reference…
- [Create a routing rule](https://docs.orq.ai/reference/routing-rules/create-routing-rule.md): Creates a routing rule with metadata and optional model, plugin, priority, and matching configuration. Rules default to…
- [Retrieve a routing rule](https://docs.orq.ai/reference/routing-rules/get-routing-rule.md): Retrieves a routing rule by its unique identifier.
- [Delete a routing rule](https://docs.orq.ai/reference/routing-rules/delete-routing-rule.md): Permanently deletes a routing rule.
- [Update a routing rule](https://docs.orq.ai/reference/routing-rules/update-routing-rule.md): Partially updates routing-rule metadata or configuration. Project scope is immutable.
- [List Smart Routers](https://docs.orq.ai/reference/smart-routers/list-smart-routers.md): Lists Smart Routers in the current workspace, ordered newest first. Use cursor pagination and optional key, profile, or…
- [Create a Smart Router](https://docs.orq.ai/reference/smart-routers/create-a-smart-router.md): Creates a Smart Router in the current workspace from 2 to 50 distinct eligible models. The key must be unique in the wo…
- [Retrieve a Smart Router](https://docs.orq.ai/reference/smart-routers/retrieve-a-smart-router.md): Retrieves a Smart Router by ID from the current workspace, including its model reference, model pool, routing profile,…
- [Delete a Smart Router](https://docs.orq.ai/reference/smart-routers/delete-a-smart-router.md): Permanently deletes a Smart Router and removes its AI Gateway model configuration. A Smart Router referenced by an expe…
- [Update a Smart Router](https://docs.orq.ai/reference/smart-routers/update-a-smart-router.md): Updates the model pool, routing profile, or both. Omitted fields retain their current values. The router key and model…
- [List all skills](https://docs.orq.ai/reference/skills/list-all-skills.md): Returns the skills visible to the current workspace, ordered by creation time with the newest skill first. Use `startin…
- [Create a new skill](https://docs.orq.ai/reference/skills/create-a-new-skill.md): Creates a reusable skill in the workspace. Skills store instructions, metadata, and an optional project location so tea…
- [Retrieve a skill](https://docs.orq.ai/reference/skills/retrieve-a-skill.md): Retrieves an existing skill by skill ID. Display names are also accepted for compatibility because they are unique with…
- [Delete a skill](https://docs.orq.ai/reference/skills/delete-a-skill.md): Deletes a skill from the workspace. The response body is empty when the delete succeeds.
- [Update a skill](https://docs.orq.ai/reference/skills/update-a-skill.md): Updates mutable skill fields. Omitted optional fields keep their current values. Repeated fields such as `tags` replace…
- [List tools](https://docs.orq.ai/reference/tools/list-tools.md): Lists all workspace tools. By default, returns all tools in a single response. Set `limit` to enable cursor-based pagin…
- [Create tool](https://docs.orq.ai/reference/tools/create-tool.md): Creates a new tool in the workspace.
- [Retrieve tool](https://docs.orq.ai/reference/tools/retrieve-tool.md): Retrieves a tool by id.
- [Delete tool](https://docs.orq.ai/reference/tools/delete-tool.md): Deletes a tool by key.
- [Update tool](https://docs.orq.ai/reference/tools/update-tool.md): Updates a tool in the workspace.
- [List tool versions](https://docs.orq.ai/reference/tools/list-tool-versions.md): Returns version history for a specific tool
- [Get tool version](https://docs.orq.ai/reference/tools/get-tool-version.md): Returns a specific version of a tool
- [Management APIs](https://docs.orq.ai/docs/management-apis/overview.md): Programmatically manage API keys, budgets, projects, and other workspace resources through the Orq.ai management plane.
- [Simple deployment pattern](https://docs.orq.ai/docs/ai-studio/cookbooks/common-architecture/simple-deployment.md): Implement simple deployment architecture for LLM applications. Quick-start pattern for straightforward AI integration w…
- [Customer support chatbot pattern](https://docs.orq.ai/docs/ai-studio/cookbooks/common-architecture/chatbot.md): Build customer support chatbots with Orq.ai. Create conversational AI with memory, context awareness, and intelligent e…
- [Simple RAG pattern](https://docs.orq.ai/docs/ai-studio/cookbooks/common-architecture/simple-rag.md): Build a simple RAG system with Orq.ai. Combine knowledge bases with LLMs for accurate, document-grounded responses. Ste…
- [Advanced RAG with multi-source retrieval](https://docs.orq.ai/docs/ai-studio/cookbooks/common-architecture/advanced-rag.md): Build enterprise RAG systems with multi-source retrieval, agentic query enhancement, and quality validation using RAGAS…
- [AI agent lead qualification pattern](https://docs.orq.ai/docs/ai-studio/cookbooks/common-architecture/ai-agent.md): Build multi-agent systems with Orq.ai. Create specialized agents for lead qualification, CRM integration, and automated…
- [Agents Framework & API Guide](https://docs.orq.ai/docs/ai-studio/cookbooks/common-architecture/agents-framework-guide.md): Step-by-step guide to building agents with the Orq.ai Agents Framework and API. Covers tools, memory, knowledge bases,…
- [Delegate to a Second Model with Advisor and Sidekick](https://docs.orq.ai/docs/ai-studio/cookbooks/common-architecture/advisor-and-sidekick.md): Run an Agent on a cheap model and pay for a stronger one only at the step that needs it, then read the cost split in th…
- [AI gateway vs config management](https://docs.orq.ai/docs/ai-studio/cookbooks/common-architecture/gateway-vs-config.md): Compare AI Gateway and Configuration Management integration patterns. Choose the right Orq.ai architecture for your LLM…
- [Maintain chat history with a model](https://docs.orq.ai/docs/ai-studio/cookbooks/chatbots/maintaining-history-with-a-model.md): Maintain conversation history with Orq.ai deployments. Build stateful chatbots that remember context across messages wi…
- [Build a multilingual FAQ bot with RAG](https://docs.orq.ai/docs/ai-studio/cookbooks/chatbots/multilingual-faq-bot.md): Build a multilingual FAQ chatbot with RAG. Use Orq.ai's Routing Engine to serve multiple languages dynamically without…
- [Build an intent classification chatbot](https://docs.orq.ai/docs/ai-studio/cookbooks/chatbots/intent-classification.md): Build and evaluate an intent classification system with Orq.ai. Categorize user queries for chatbots, customer support,…
- [Build AI chatbots with Lovable and Orq.ai](https://docs.orq.ai/docs/ai-studio/cookbooks/chatbots/lovable-integration.md): Build AI chatbots with Lovable and Orq.ai. Create RAG-powered FAQ bots using prompt-based development without backend e…
- [Build a multi-agent HR system](https://docs.orq.ai/docs/ai-studio/cookbooks/chatbots/agents-API.md): Build a multi-agent HR system with Python. Create specialized agents for benefits, PTO, and policy questions using memo…
- [Build and compare insurance claims agents with MCP](https://docs.orq.ai/docs/ai-studio/cookbooks/chatbots/insurance-claims-mcp-cookbook.md): Build single-agent and multi-agent insurance claims systems via Orq.ai MCP, then compare them with evaluators and a 15-…
- [Build a customer support chatbot in Node.js](https://docs.orq.ai/docs/ai-studio/cookbooks/chatbots/buildingcustomersupportchatwithaigateway.md): Build a production-ready Node.js customer support chatbot via AI Gateway with streaming, fallbacks, caching, and RAG kn…
- [Extract data from PDFs with LLMs](https://docs.orq.ai/docs/ai-studio/cookbooks/data-extraction/pdf-extraction.md): Extract structured data from PDF invoices with AI. Transform unstructured documents into actionable JSON using Orq.ai's…
- [Extract data from receipts with OCR](https://docs.orq.ai/docs/ai-studio/cookbooks/data-extraction/receipt-extraction.md): Extract data from receipt images with AI. Process JPG and PNG files to structured JSON with vendor names, amounts, and…
- [Convert natural language to SQL queries](https://docs.orq.ai/docs/ai-studio/cookbooks/data-extraction/text-to-sql.md): Transform natural language into SQL queries with AI. Build a text-to-SQL application that lets non-technical users quer…
- [Running evaluations in parallel with Evaluatorq](https://docs.orq.ai/docs/ai-studio/cookbooks/evaluation-safety/evaluator-q.md): Run AI experiments from code using Evaluatorq. Compare deployments and agents side-by-side with custom evaluators acros…
- [Run Agent Simulation with Evaluatorq](https://docs.orq.ai/docs/ai-studio/cookbooks/evaluation-safety/agent-simulations.md): Test agents through realistic multi-turn conversations using AI-generated personas, scenarios, and a judge.
- [Automate Evals & Observability with Claude Code + Orq.ai](https://docs.orq.ai/docs/ai-studio/cookbooks/evaluation-safety/automate-evals-and-observability-with-claude-code.md): Build, run, and analyze evaluations with Claude Code and Orq.ai MCP. Query observability data and automate eval workflo…
- [Align an Evaluator with Human Judgement](https://docs.orq.ai/docs/ai-studio/cookbooks/evaluation-safety/align-evaluators.md): Find where an LLM-as-a-judge Evaluator disagrees with human reviewers, and rewrite its prompt so its verdicts match.
- [Improve an Agent with Red Teaming](https://docs.orq.ai/docs/ai-studio/cookbooks/evaluation-safety/improve-agent-with-red-teaming.md): Attack an Agent with generated attacks, read the finding, fix the instructions, then replay the same attacks to check t…
- [Prompt management tutorial](https://docs.orq.ai/docs/ai-studio/cookbooks/integrations-tooling/prompt-manager.md): Use Orq.ai as a prompt manager for your LLM calls. Fetch deployment configurations at runtime while keeping control ove…
- [Capture user feedback on LLM responses](https://docs.orq.ai/docs/ai-studio/cookbooks/integrations-tooling/capturing-feedback-with-orq.md): Implement structured user feedback to improve an LLM chatbot. Capture ratings, log defects, and create a continuous lea…
- [Integrate LangGraph with Orq.ai](https://docs.orq.ai/docs/ai-studio/cookbooks/integrations-tooling/integrate-langgraph-with-orq.md): Add Orq.ai to an existing LangGraph agent: route models through the AI Gateway, ground responses with a Knowledge Base,…
- [Chain deployments for multi-step workflows](https://docs.orq.ai/docs/ai-studio/cookbooks/integrations-tooling/chaining-deployments.md): Chain multiple LLM deployments for complex workflows. Extract data from receipts, validate with evaluators, and summari…
- [Use Pinecone and custom vector databases](https://docs.orq.ai/docs/ai-studio/cookbooks/integrations-tooling/using-thirdparty-vectordbs-with-orq.md): Connect Pinecone or other vector databases to Orq.ai for custom RAG. Use external embeddings and retrieval while levera…
- [LLM and AI terminology glossary](https://docs.orq.ai/docs/ai-studio/cookbooks/learn/llm-glossary.md): Complete glossary of LLM, LLMOps, and prompt engineering terms. Learn definitions for transformers, fine-tuning, RAG, t…
- [Prompt engineering guide](https://docs.orq.ai/docs/ai-studio/prompts/prompt-engineering-guide.md): Master prompt engineering with best practices for LLM optimization. Learn model-specific formatting, structured prompts…
- [Prompt templating with Jinja and Mustache](https://docs.orq.ai/docs/ai-studio/prompts/prompt-templating.md): Reference for Jinja and Mustache template engines in Orq.ai deployments. Covers variables, conditionals, loops, filters…
- [Understanding AI operations in Control Tower](https://docs.orq.ai/docs/ai-studio/cookbooks/learn/understanding-controltower.md): Non-technical guide to monitoring AI agents, tracking costs, and maintaining control over your AI operations with the A…
- [Release 4.13](https://docs.orq.ai/docs/changelog/release-4-13.md): Release 4.13 adds metric Alerts on traces, JSON response healing in the Router, a redesigned Smart Router page, and Adv…
- [Release 4.12](https://docs.orq.ai/docs/changelog/release-4-12.md): Release 4.12 alerts admins on budget spend, lets admins set which models each project can use, brings Eval corrections…
- [Release 4.11](https://docs.orq.ai/docs/changelog/release-4-11.md): Release 4.11 introduces project-scoped navigation, Budgets as a first-class entity, PII redaction, and Management API k…
- [Release 4.10](https://docs.orq.ai/docs/changelog/release-4-10.md): Release 4.10 unifies API key management, separates the AI Gateway with a rebuilt Model Garden, introduces a unified Rev…
- [Release 4.9](https://docs.orq.ai/docs/changelog/release-4-9.md): Release 4.9 introduces native Skills, an Errors view in Traces, LangGraph trace visualization, and improved Azure Found…
- [Release 4.8](https://docs.orq.ai/docs/changelog/release-4-8.md): Orq.ai 4.8 release notes: Router Policies, Guardrail Rules, categorical evaluators, redesigned homescreen, and predefin…
- [Release 4.7](https://docs.orq.ai/docs/changelog/release-4-7.md): Release 4.7 introduces Orq Skills, reusable coding agent workflows for observability setup, agent building, experiments…
- [Release 4.6](https://docs.orq.ai/docs/changelog/release-4-6.md): Release 4.6 launches AI Chat for a unified model interface with agent exposure and workspace configuration, plus webhoo…
- [Release 4.5](https://docs.orq.ai/docs/changelog/release-4-5.md): Release 4.5 adds Jinja2 and Mustache template engines for advanced prompt templating, plus version control for evaluato…
- [Release 4.4](https://docs.orq.ai/docs/changelog/release-4-4.md): Release 4.4 introduces the Orq MCP Server with 23 tools for managing agents, datasets, experiments, and traces from any…
- [Release 4.3](https://docs.orq.ai/docs/changelog/release-4-3.md): Release 4.3 adds AI Router credits with auto top-up and unified billing across 300+ models, plus agent version control…
- [Release 4.2](https://docs.orq.ai/docs/changelog/release-4-2.md): Release 4.2 launches the sovereign AI Router with EU data residency, single-key access to 300+ models, VPC deployment,…
- [Release 4.1](https://docs.orq.ai/docs/changelog/release-4-1.md): Release 4.1 introduces the Evaluatorq Python SDK for running experiments from code and a Command Bar for universal sear…
- [Release 4.0](https://docs.orq.ai/docs/changelog/release-4.md): Release 4.0 introduces Gemini 3 Flash Preview with 1M token context window and GPT Image 1.5 support for AI-powered ima…
- [Release 3.14](https://docs.orq.ai/docs/changelog/release-314.md): Release 3.14 adds Google Gemini 3 Pro Preview with 1M+ context window and Anthropic structured outputs with JSON schema…
- [Release 3.13](https://docs.orq.ai/docs/changelog/release-313.md): Release 3.13 adds Claude Haiku 4.5 to the AI Router and introduces a verified n8n integration for workflow automation w…
- [Release 3.12](https://docs.orq.ai/docs/changelog/release-312.md): Release 3.12 introduces human-in-the-loop reviews, response caching for cost optimization, faster root cause analysis,…
- [Past Updates](https://docs.orq.ai/docs/changelog/past-product-updates.md): Archive of past Orq.ai product updates and announcements, including Evaluatorq, platform improvements, and earlier feat…
- [Plugins | AI Gateway](https://docs.orq.ai/docs/ai-gateway/features/plugins/overview.md): Plugins are request-scoped transforms that mutate the text exchanged with a model in the AI Gateway, such as PII redact…
- [Telemetry query API (private readiness preview)](https://docs.orq.ai/docs/ai-studio/observability/telemetry-query-api.md): A neutral query envelope for traces, metrics, and logs. Not yet published in navigation or generated SDKs.
- [Register external a2a agent](https://docs.orq.ai/reference/agents/register-external-a2a-agent.md)
- [Check budget enforcement](https://docs.orq.ai/reference/budgets/check-budget-enforcement.md)
- [Detect PII](https://docs.orq.ai/reference/detect-pii.md): Reports whether the supplied text contains personally identifiable information, optionally with a per-type entity break…
- [Search documentation](https://docs.orq.ai/reference/documentation/search-documentation.md): Searches the orq.ai documentation index for the given query and returns the matching pages with content snippets and me…
- [Post v2feedback](https://docs.orq.ai/reference/feedback/post-v2feedback.md)
- [Post v2feedbackevaluation](https://docs.orq.ai/reference/feedback/post-v2feedbackevaluation.md)
- [Post v2feedbackevaluationremove](https://docs.orq.ai/reference/feedback/post-v2feedbackevaluationremove.md)
- [Post v2feedbackremove](https://docs.orq.ai/reference/feedback/post-v2feedbackremove.md)
- [List guardrails used by guardrail rules](https://docs.orq.ai/reference/guardrail-rules/list-used-guardrails.md): Returns the distinct guardrail identifiers used by guardrail rules in the requested scope.
- [Create a human review set](https://docs.orq.ai/reference/human-review-sets/create-a-human-review-set.md)
- [Delete a human review set](https://docs.orq.ai/reference/human-review-sets/delete-a-human-review-set.md)
- [Get a human review set by ID](https://docs.orq.ai/reference/human-review-sets/get-a-human-review-set-by-id.md)
- [Get all human review sets](https://docs.orq.ai/reference/human-review-sets/get-all-human-review-sets.md)
- [Update a human review set](https://docs.orq.ai/reference/human-review-sets/update-a-human-review-set.md)
- [Create autorouter custom model](https://docs.orq.ai/reference/models/create-autorouter-custom-model.md)
- [Create AWS Bedrock custom model](https://docs.orq.ai/reference/models/create-aws-bedrock-custom-model.md): Registers an AWS Bedrock inference profile as a custom model for the workspace. Credentials are resolved at request tim…
- [Create custom model](https://docs.orq.ai/reference/models/create-custom-model.md): Creates a new custom model for the workspace. Provider credentials in the configuration are encrypted using the workspa…
- [Create OpenAI-compatible custom model](https://docs.orq.ai/reference/models/create-openai-compatible-custom-model.md): Creates a custom model backed by any OpenAI-compatible endpoint. The handler probes the target API with the supplied cr…
- [Create Vertex AI custom model](https://docs.orq.ai/reference/models/create-vertex-ai-custom-model.md): Registers a Google Vertex AI model as a custom model for the workspace. The service account credentials are probed agai…
- [Delete custom model](https://docs.orq.ai/reference/models/delete-custom-model.md): Deletes a custom model from the workspace. System models cannot be deleted. Returns 200 with an explanatory message if…
- [Disable model for workspace](https://docs.orq.ai/reference/models/disable-model-for-workspace.md): Removes the model from the workspace's enabled set. Idempotent — disabling an already-disabled model returns 204.
- [Enable model for workspace](https://docs.orq.ai/reference/models/enable-model-for-workspace.md): Adds the model to the workspace's enabled set. Idempotent — re-enabling an already-enabled model returns 204 with no st…
- [List Azure Foundry deployments under a resource](https://docs.orq.ai/reference/models/list-azure-foundry-deployments-under-a-resource.md): Lists Azure Foundry deployments under the given base_url and joins each entry with the Orq master-data row. Only OpenAI…
- [List models](https://docs.orq.ai/reference/models/list-models-1.md): Lists all models available through the AI Router. Returns each model in OpenAI-compatible shape with its provider, ID,…
- [Update autorouter custom model](https://docs.orq.ai/reference/models/update-autorouter-custom-model.md)
- [Update AWS Bedrock custom model](https://docs.orq.ai/reference/models/update-aws-bedrock-custom-model.md): Updates an AWS Bedrock custom model. ARN changes are format-validated (live AWS validation lives in the dedicated valid…
- [Update custom model](https://docs.orq.ai/reference/models/update-custom-model.md): Updates a custom model. Only fields present in the request body are modified, except for `metadata` and `parameters`, w…
- [Update OpenAI-compatible custom model](https://docs.orq.ai/reference/models/update-openai-compatible-custom-model.md): Updates an OpenAI-compatible custom model. Live-re-probes the target API when base_url or model_id changes, using the s…
- [Validate AWS Bedrock inference profile](https://docs.orq.ai/reference/models/validate-aws-bedrock-inference-profile.md): Performs a live Bedrock Converse probe to verify the inference profile ARN and credentials, then best-effort enriches t…
- [Validate model endpoint](https://docs.orq.ai/reference/models/validate-model-endpoint.md): Validates a provider endpoint by performing a minimal live probe. Currently supports Azure OpenAI. Response includes th…
- [Redact PII](https://docs.orq.ai/reference/redact-pii.md): Replaces detected PII with placeholders and returns the reverse mapping needed to restore the original text.
- [Retrieve a remote config](https://docs.orq.ai/reference/remote-configs/retrieve-a-remote-config.md): Retrieve the resolved remote configuration for a deployment. Returns model settings, prompt content, and parameters bas…
- [Restore redacted text](https://docs.orq.ai/reference/restore-redacted-text.md): Reverses a redaction, substituting placeholders back to their original values using the mapping returned by Redact.
- [List models used by routing rules](https://docs.orq.ai/reference/routing-rules/list-used-models.md): Returns the distinct model references used by routing rules in the requested scope.
- [Aggregate traces](https://docs.orq.ai/reference/traces/aggregate-traces.md): Aggregate trace metrics using the structured trace filter contract. This API remains supported; POST /v3/telemetry/quer…
- [Get trace](https://docs.orq.ai/reference/traces/get-trace.md): Retrieve one trace summary by trace id.
- [Get trace span](https://docs.orq.ai/reference/traces/get-trace-span.md): Retrieve one hydrated span.
- [List trace facet values](https://docs.orq.ai/reference/traces/list-trace-facet-values.md): List values and counts for one trace facet field.
- [List trace facets](https://docs.orq.ai/reference/traces/list-trace-facets.md): List trace fields that support facet value discovery.
- [List trace fields](https://docs.orq.ai/reference/traces/list-trace-fields.md): List currently supported static trace fields.
- [List trace spans](https://docs.orq.ai/reference/traces/list-trace-spans.md): List canonical span summaries for a trace.
- [Query traces with OQL](https://docs.orq.ai/reference/traces/query-traces-with-oql.md): Run an OQL trace query. OQL is validated against the trace field registry and compiled through the trace planner.
- [Search traces](https://docs.orq.ai/reference/traces/search-traces.md): Search trace summaries using the structured trace filter contract.

## OpenAPI Specs

- [openapi](https://docs.orq.ai/openapi.json)