Langfuse integration for AI agents
Insiro connects AI agents to Langfuse so they can act in it under your rules. Langfuse is an open source LLM engineering platform for traces, evals, prompt management, and metrics. It helps teams debug, monitor, and improve LLM applications with clear observability data. Every Langfuse action runs through Insiro's governed gateway, using each person's own connection (API key).
What can AI agents do with Langfuse?
With Insiro, agents can call models and AI services as steps in a pipeline, compare outputs and keep the best result, enrich records with generated summaries and route requests to the right model by cost, all inside the permissions you set for Langfuse.
- Call models and AI services as steps in a pipeline.
- Compare outputs and keep the best result.
- Enrich records with generated summaries.
- Route requests to the right model by cost.
A journey through Insiro
LangfuseInsiroNotionExample: Langfuse → Insiro → Notion to write generated research into a shared doc. Insiro checks permissions, applies approvals and records the evidence at every hop.
Frequently asked questions about Langfuse
Can Insiro AI agents use Langfuse?
Yes. Insiro connects AI agents to Langfuse through its governed MCP gateway. Agents can call models and AI services as steps in a pipeline and compare outputs and keep the best result using each person's own Langfuse access, with read-only as the default and approvals for actions that change data.
How does Insiro connect to Langfuse?
Langfuse connects with API key. Each user connects their own account once; Insiro stores the credential encrypted and brokers it to the tool only at the moment of a call, so models never see it. Admins can also register a workspace-level connection.
Can I make Langfuse read-only for agents?
Yes. In Insiro Governance, set Langfuse to Off, Read only, or Read and write in a click. Write actions can require confirmation or owner approval by risk tier, and every call is logged with the user, tool, tokens and cost.
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A 30-minute working session: we connect one data source and one app, then run a governed agent on a task you choose.
- 13governance checks on every agent tool call
- 1,700+SaaS apps agents can act in
- 30+data dialects for plain-English questions