Providers
OpenAI
Anthropic
Google
Frameworks
LangChain
CrewAI
Agents SDK
With Kalibr, your agents learn from past executions and route around failing paths autonomously.
Kalibr captures step-level telemetry on your agentic systems and exposes routing recommendations your agents query before each run.
$ pip install kalibr
Agents running Kalibr see 10× fewer failures.
Providers
OpenAI
Anthropic
Google
Frameworks
LangChain
CrewAI
Agents SDK
Wrap your LLM and tool calls with the Kalibr SDK. Every step records latency, cost, and success or failure.
Before the next step, your agent queries Kalibr with a goal (for example: goal="book_meeting"). Kalibr returns which models and tools are currently succeeding. Your agent routes to the optimal path.
That's it.
Auto-instrument every LLM call. Latency, tokens, cost, success/failure — logged automatically with zero code changes.
Kalibr aggregates outcomes by model and task type. It knows which models succeed at "book_meeting" vs "write_code" — with statistical confidence.
Your agent calls get_policy("book_meeting") before acting. Kalibr returns the model with the best success rate for that goal.
Most tools show you logs after something breaks. Kalibr feeds execution outcomes back into your agents so they can choose better paths before they fail.
Observability data transformed into runtime optimization signals
GPT-4o-mini → Claude Haiku maintains 94% quality at 62% lower cost
Start with cheaper models. 73% of tasks complete without expensive polish step
89% of searches repeat within 2 hours. Cache results to reduce latency
Production patterns automatically influence future routing and execution decisions.
Connect Kalibr to your agent systems. Every workflow is automatically tracked - no refactoring required.
See entire agent executions with all models, tools, costs, and decisions - not just isolated API calls.
Agents query Kalibr's runtime API before executing steps to decide which models, tools, or paths to use.
Use production patterns to identify cost savings and performance improvements.
See complete agent workflows with all models, tools, and decisions - not isolated API calls.
One workflow uses OpenAI, Anthropic, and Google? We track it all in a single unified view.
Agents see what other agents did and learn from their decisions - without manual handoff code.
Detect which model combinations work best, which routing strategies succeed, where failures occur.
Know what complete workflows cost by agent and business outcome - not just API spend.
Execution data influences future routing: which models to use, where to cut costs, how to improve performance.
Agents fail less in production
Model drift stops breaking workflows
Cost spikes become visible before they matter
You stop retuning prompts and routing rules manually
Start free. Scale as you grow.
Request trial credits to test Kalibr with your production workloads.
Request trial creditsStart free. See what's failing. Let your agents handle it.
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