0
0
Framework integrations available today
0
0
OpenAI-compatible endpoint
0%
0%
of routed LLM calls traced
Agno
Agno + Orq: Production observability for Agno agents
Use Orq.ai as the model control layer for Agno. Route LLM calls through one OpenAI-compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your agent logic.
Integration:
AI Router
Tracing
Anthropic
Anthropic + Orq: Production observability for Claude agents
Use Orq.ai as the model control layer for Anthropic. Route Claude calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your Claude‑based agent logic or application code.
Integration:
AI Router
Tracing
Autogen
Autogen + Orq: Production observability for Autogen agents
Use Orq.ai as the model control layer for Autogen. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your Autogen workflows or agent graph.
Integration:
AI Router
Tracing
AWS Bedrock Agentcore
AWS Bedrock Agentcore + Orq: Production observability for Bedrock agents
Use Orq.ai as the model control layer for Amazon Bedrock AgentCore. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your AgentCore agent logic or runtime deployments.
Integration:
AI Router
Tracing
AWS Strands
AWS Strands + Orq: Production observability for AWS Strands agents
Use Orq.ai as the model control layer for AWS Strands. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your Strands agent logic or deployment path.
Integration:
AI Router
Tracing
Azure AI
Azure AI Agents + Orq: Production observability for Azure agents
Use Orq.ai as the model control layer for Azure AI Agents. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your Azure agent logic or Foundry projects.
Integration:
AI Router
Tracing
BeeAI
BeeAI + Orq: Production observability for BeeAI agents
OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your BeeAI agent logic, framework setup, or platform deployment.
Integration:
AI Router
Tracing
Claude Agent SDK
Claude Agent SDK + Orq: Production observability for Claude agents
Use Orq.ai as the model control layer for the Claude Agent SDK. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your Claude agent logic or orchestration code.
Integration:
AI Router
Tracing
CrewAI
CrewAI + Orq: Production observability for CrewAI agents
Use Orq.ai as the model control layer for CrewAI. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your CrewAI agent logic, crew definitions, or workflow orchestration.
Integration:
AI Router
Tracing
DSPy
DSPy + Orq: Production observability for DSPy programs
Use Orq.ai as the model control layer for DSPy. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your DSPy program, signatures, or optimization pipeline.
Integration:
AI Router
Tracing
Google AI
Google AI + Orq: Production observability for Gemini workloads
Use Orq.ai as the model control layer for Google AI. Route Gemini calls through one OpenAI-compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your Gemini-based agents, DSPy programs, or application code.
Integration:
AI Router
Tracing
Haystack
Haystack + Orq: Production observability for Haystack Agents and Pipelines
Use Orq.ai as the model control layer for Haystack. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your Haystack pipelines, agent graphs, or component wiring.
Integration:
AI Router
Tracing
Instructor
Instructor + Orq: Production observability for Instructor apps
Use Orq.ai as the model control layer for Instructor. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your Instructor schemas, validation logic, or application code.
Integration:
AI Router
Tracing
LangChain
LangChain + Orq: Production observability for LangChain apps
Use Orq.ai as the model control layer for LangChain. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your chains, agents, tools, or RAG pipelines.
Integration:
AI Router
Tracing
LangGraph
LangGraph + Orq: Production observability for LangGraph apps
Use Orq.ai as the model control layer for LangGraph. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your LangGraph graphs, nodes, or edge logic.
Integration:
AI Router
Tracing
LiveKit
LiveKit + Orq: Production observability for LiveKit voice agents
Use Orq.ai as the model control layer for LiveKit Agents. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your LiveKit agent code, media routing, or telephony stack.
Integration:
AI Router
Tracing
LlamaIndex
LlamaIndex + Orq: Production observability for LlamaIndex voice agents
Use Orq.ai as the model control layer for LlamaIndex. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your LlamaIndex indexes, query engines, agents, or workflows.
Integration:
AI Router
Tracing
LlamaIndex Agents
LlamaIndex Agents + Orq: Production observability for LlamaIndex agents
Use Orq.ai as the model control layer for LlamaIndex Agents. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your LlamaIndex agent graphs, tools, or workflows.
Integration:
AI Router
Tracing
Mastra
Mastra + Orq: Production observability for Mastra agents
Use Orq.ai as the model control layer for Mastra. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your Mastra agent graphs, tools, or workflows.
Integration:
AI Router
Tracing
OpenAI
OpenAI Agents + Orq: Production observability for OpenAI agent workloads
Use Orq.ai as the model control layer for OpenAI Agents. Route Agents SDK calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your agent graphs, MCP tools, or application code.
Integration:
AI Router
Tracing
OpenAI Agents
OpenAI Agents + Orq: Production observability for OpenAI agent workloads
Use Orq.ai as the model control layer for OpenAI Agents. Route Agents SDK calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your agent graphs, MCP tools, or application code.
Integration:
AI Router
Tracing
OpenClaw
OpenClaw + Orq: Production observability for OpenClaw agents
Use Orq.ai as the model control layer for OpenClaw. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your OpenClaw agent graphs, tools, or workflows.
Integration:
AI Router
Tracing
PydanticAI
PydanticAI + Orq: Production observability for PydanticAI apps
Use Orq.ai as the model control layer for PydanticAI. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your PydanticAI agents, tools, or typed interfaces.
Integration:
AI Router
Tracing
Semantic Kernel
Semantic Kernel + Orq: Production observability for Semantic Kernel apps
Use Orq.ai as the model control layer for Semantic Kernel. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your Semantic Kernel kernels, plugins, or agent workflows.
Integration:
AI Router
Tracing
SmolAgents
SmolAgents + Orq: Production observability for SmolAgents apps
Use Orq.ai as the model control layer for SmolAgents. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your SmolAgents CodeAgents, ToolCallingAgents, or workflows.
Integration:
AI Router
Tracing
Vercel AI
Vercel AI + Orq: Production observability for Vercel AI apps
Use Orq.ai as the model control layer for the Vercel AI SDK. Route LLM calls through one OpenAI‑compatible endpoint, capture traces, monitor cost, and manage fallback behavior without rebuilding your Vercel AI routes, UI components, or server actions.
Integration:
AI Router
Tracing
The Orq.ai AI Router is a single OpenAI-compatible endpoint that sits between your framework and every model provider. Point Agno, DSPy, LangChain, the Vercel AI SDK, OpenAI Agents, or any of our 26 supported frameworks at Orq.ai, and every LLM call flows through one control layer.
From that layer you get end-to-end traces of prompts, tool calls, and model responses — plus routing rules, fallback chains, budgets, and approved-model policies, all managed centrally instead of inside each codebase.
Your framework code stays untouched. Swap in the Orq.ai base URL and API key, then define policies like “route routine steps to a cheaper model” or “fall back to Claude when OpenAI errors.”
No rewrites, no per-provider SDKs, no scattered dashboards. Your framework keeps handling agent logic — Orq.ai handles models, observability, and cost.
