Collect the whole run
Capture model calls, tool calls, MCP servers, retrieval, handoffs, and outputs as one connected trace.
← All productsTracey / 01
AI SRE / observability
Production agents, with evidence.
Tracey turns every agent execution into an explainable run: the prompt that started it, the context it retrieved, every model and tool call, the decision it made, and the action it took. Then it gives your team the controls to contain failures without guessing.
Sample run / telemetry schema
evidence ready execution trace
agent.runroot
gen_ai.chatmodel
retrieval.querycontext
tool.callaction
latency
Trace data
measured per run
model cost
Token data
emitted by the agent
Evidence attachedOpen investigation
Works withSigNozKubernetesOpenTelemetryCodexClaude CodeMCP
The operating problem
Your agents are running. Their failures should not be a mystery.
Traditional observability shows spans and charts. Tracey connects model decisions, tool calls, side effects, infrastructure dependencies, and user outcomes into one operational explanation.
Which agent failed?
What changed before it?
Which dependency is slow?
Did recovery actually work?
One reliability loop
From signal to safe fix.
Find the failure
Compare latency, cost, errors, prompt versions, models, and cohorts to isolate what changed.
Protect production
Apply retries, timeouts, fallbacks, approval gates, and rollbacks with an auditable change history.
Observe / live runs
See every prompt, model call, tool, handoff, and outcome in context.
A replaceable media slot for an approved Tracey product demo.
Recover / verified changes
A change is not successful until production health proves it.
Show the policy, approval, execution, verification, and rollback timeline.
Control by design
AI can prepare the change. Policy decides if it ships.
Tracey keeps model intelligence and infrastructure authority separate, with approval-first controls and evidence-bound recovery.
01
Observe
Read-only investigation. Every mutation is denied.
02
Recommend
Prepare and store remediation plans without executing them.
03
Approval
Every mutation waits for administrator approval. Recommended starting mode.
04
Guarded autopilot
Allow reversible, allowlisted actions within configured risk and blast-radius limits.
05
Full autopilot
Broader allowlisted execution for mature teams; mandatory prohibitions remain.
Evidence boundary
The model selects bounded read tools and prepares plans.
A deterministic policy engine makes authorization decisions.
A restricted executor uses a separate authenticated identity.
Every mutation is typed, scoped, idempotent, and auditable.
Built for real agent operations
Make failure a workflow, not a surprise.
Raw telemetry stays in SigNoz. Agents stay independently deployed. Tracey owns the semantic investigation, policy, controlled execution, and verification layer above them.
Explore Tracey docs