Self-driving AI observability and evals for agents
Trace and evaluate agent behavior without guesswork. Surface issues automatically. Fix what breaks, faster.
AI doesn't break. Its behavior shifts.
Prompts change. Models update. Tools evolve. Respan gives teams the signals and controls to trace, evaluate, and ship AI that behaves the way it should.
01 Trace
Know exactly what your agents did.
Every prompt, tool call, and response - captured with rich context from real production traffic.
End-to-end execution paths
See every step from input to output with the context needed to debug fast. Search, filter, and sort traces by content, latency, cost, quality, tags, and custom metadata.
Reproduce and inspect real sessions
Open any production trace in the playground to replay behavior, test fixes, and debug failures in full context.
Turn production traces into action
Assign runs for review or evaluation - or promote them into datasets to improve prompts, routing, and models.
02 Evaluate
Turn judgment into a system.
Build evaluation workflows that combine human review, code checks, and LLM judges in one flow - all measured against the metrics that actually matter.
Compose one evaluation flow
Run code, human, and LLM judges in the same workflow instead of maintaining separate evaluation pipelines for each.
Start from metrics, not tooling
Define the metrics first, then treat every judge as a function inside one evaluation system built around how quality is actually measured.
Test against real product behavior
Build and version datasets from production traces, generate synthetic cases, and compare prompts, models, and releases against baselines before shipping.
03 Optimize
Iterate on prompts, tools, and routing without losing control.
Track every change, compare what actually improved, and keep optimization tied to real production signals.
Version every moving part
Track prompt, tool, model, and workflow changes so you always know what changed, when, and why.
Compare changes against real baselines
Test new prompt versions, tool behavior, and routing logic against prior versions using the same product data and evaluation criteria.
Improve the system, not just the prompt
Optimize across prompts, tools, and orchestration together instead of treating each change like an isolated experiment.
04 Deploy
Ship through one gateway, not a mess of moving parts.
Promote prompts, models, and workflows straight from the UI into production, with version control, rollout logic, and access to 500+ models through one gateway.
Promote from UI to production
Push prompt and workflow versions live directly from the product, with prompt management and deployment connected in one system.
Route across 500+ models
Deploy through a single gateway that gives you flexible model choice, routing control, and provider abstraction without rebuilding infrastructure.
Roll out with control
Gate releases, compare live behavior, and keep a clean path to revert when prompts, models, or workflows regress.
05 Monitor
Know when production shifts - and act before it spreads.
Track the metrics that matter, sample live traffic for evaluation, and trigger alerts or automations when quality, cost, latency, or behavior moves in the wrong direction.
Build monitoring around your business
Create custom dashboards with 80+ graph types and metrics so teams can track quality, latency, cost, and product-specific signals their own way.
Catch issues in real time
Monitor production behavior, sample live traffic for online evals, and get alerted in Slack, email, or text when something breaks or drifts.
Turn monitoring into action
Trigger automations from production signals to build datasets, launch follow-up evaluations, or kick off response workflows automatically.
The AI observability platform behind 80 trillion+ tokens. Loved by world-class founders, engineers, and product teams.
“Imagine jumping to a log immediately after every LLM call. This is the dream for debugging.”
Daniel Wolf
Product Lead, AlphaSense
“We scaled from 5M to 500M+ monthly API calls quickly. Respan gave us the debugging layer to resolve production issues 10x faster.”
Read how Retell builds next-gen voice agents that scale ->Zexia Zhang
CTO, Retell AI
“Respan legit has some of the best UX/DX I’ve ever seen in my life. I truly don’t think I’ve ever integrated a product that was as easy.”
Rahul Behal
Co-founder, Gumloop
“This one felt pretty nice.”
Fabian Hedin
CTO, Lovable
“Such a no brainer choice over LangSmith or anything else and super easy to set up.”
Andy Wang
CEO, Finta
“Respan has been key in helping us scale to trillions of tokens reliably with real-time observability.”
Read how Mem0 builds reliable self-improving AI memory layer ->Deshraj Yadav
CTO, Mem0
“Great product - really love the metrics dashboard.”
Esha Dinne
CTO, Giga
“We scaled from 5M to 500M+ monthly API calls quickly. Respan gave us the debugging layer to resolve production issues 10x faster.”
Read how Retell builds next-gen voice agents that scale ->Zexia Zhang
CTO, Retell AI
“This one felt pretty nice.”
Fabian Hedin
CTO, Lovable
“Respan has been key in helping us scale to trillions of tokens reliably with real-time observability.”
Read how Mem0 builds reliable self-improving AI memory layer ->Deshraj Yadav
CTO, Mem0
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