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.
What is Autogen?
Autogen is an open‑source framework from Microsoft for building single‑ and multi‑agent systems, with layers for Core, AgentChat, and Studio, plus components for tools, memory, and event‑driven messaging. It helps teams focus on agent behavior and coordination instead of assembling every infrastructure piece from scratch. Learn more here.
Why use Orq with Autogen
Trace agent behavior end to end
Trace Autogen agent runs end to end, including prompts, messages between agents, tool calls, model responses, and errors in one place. You get clearer visibility into multi‑agent behavior without stitching together custom logging across Core, AgentChat, and Studio.
Model flexibility without rewiring agents
Test new models, add providers, or assign different model tiers to different Autogen workflows from Orq.ai, while keeping your Autogen agent definitions and orchestration code stable.
Evaluate real production runs
Use real Autogen conversations and traces to build datasets, compare prompt or model changes, and move from subjective tuning to measurable quality checks. You can turn failed multi‑agent runs into eval inputs for future experiments.
Control spend and access centrally
Track token usage and spend per agent, team, and workflow so you can see which Autogen routes drive cost. Add budgets, rate limits, and approved‑model lists at the Orq platform layer instead of enforcing governance separately inside each Autogen agent or config list.
How the integration works
Step 1
Point Autogen at Orq.ai’s router
Configure Autogen’s model clients (for example OpenAIChatCompletionClient or config lists) to use Orq.ai’s base URL instead of calling each provider directly. This gives Orq the context it needs to apply routing rules, capture usage, and enforce fallback behavior.
Step 2
Enable tracing from Autogen to Orq
Route Autogen’s model calls through Orq.ai’s AI Gateway / Router to capture Orq platform traces automatically for those calls. Autogen continues to manage agent messaging, while Orq logs the underlying LLM interactions.
Step 3
Define routes, fallbacks, and policies in Orq
Create routes for key Autogen workflows and assign them model tiers, fallback chains, and region/data policies. Autogen sends the LLM request to the configured Orq route, and Orq applies the routing rules you define.
Step 4
Monitor, evaluate, and tune
Once connected, use Orq’s dashboards to watch latency, errors, and cost for Autogen agents, and run evals or experiments on their traces. You can then adjust routes, models, or prompt configurations centrally where supported, without changing Autogen’s agent wiring.
Use Cases
Multi‑agent products with real observability
Trace which Autogen agent, tool call, and model contributed to a failed workflow or bad outcome.
Cost‑aware internal tools
Route routine steps to lower‑cost models while keeping complex reasoning or multi‑agent planning on stronger routes configured in Orq.
Eval‑driven agent improvements
Reuse failed conversations and multi‑agent transcripts as eval inputs before shipping prompt, tool, or model changes.
Safer experimentation across providers
Test a new provider or model on a small share of Autogen traffic, then promote or roll back based on traces and evals, instead of editing each agent definition by hand.
FAQ
Do I have to change my Autogen code to use Orq.ai?
In many cases, you can repoint Autogen’s model clients to Orq.ai’s OpenAI‑compatible endpoint (for example by updating base_url and api_key in the config list) and enable tracing with minimal changes instead of rewriting your agents. The agent roles, messaging patterns, and tools stay in Autogen.
Does Orq.ai replace Autogen’s own runtime or framework?
No. Autogen remains your agent framework and runtime. Orq.ai sits alongside it as the control plane for models, routing, observability, and evaluation. You still design and run agents in Autogen (Core, AgentChat, or Studio), but you use Orq to see how they behave, what they cost, and which models they should call.
Can I keep using my existing LLM providers with Autogen if I move to Orq.ai?
Yes. You can bring your existing provider keys into Orq.ai and route Autogen traffic through them, alongside any new models you add later. That way you centralize access, routing, and tracking without losing the providers you already rely on Bring production controls to Autogen agents
