TRACEABILITY

See everything

Complete visibility into every agent decision, model call, and tool execution. Debug issues, optimize performance, and understand exactly how your AI systems behave.

TRACE-1847REPLAYING
Input Received
0ms
Context Loaded
12ms
Agent Initialized
45ms
LLM Request
89ms
1247 tok
Response Parsed
1.2s
856 tok
Tool Executed
1.8s
Output Generated
2.1s
423 tok
Total tokens2,526
DATA CAPTURED

Every detail, recorded

Overseer captures comprehensive data at every step of agent execution.

Captured
Input Data
Logged
Prompt Template
Stored
Model Response
Recorded
Tool Calls
Tracked
Token Usage
Measured
Latency
Captured
Output Data
Logged
Errors
01

Step-by-Step Replay

Walk through every decision your agent made, from input to output.

See the exact prompts, model responses, and tool calls at each step.

02

Token Analytics

Track token usage across all model calls with cost estimation.

Identify expensive operations and optimize prompts for efficiency.

03

Timing Breakdown

Understand where time is spent with detailed latency metrics.

Find bottlenecks and optimize critical paths in your workflows.

04

Error Forensics

When things go wrong, trace the exact point of failure.

Full stack traces, input/output snapshots, and retry history.

API ACCESS

Programmatic trace access

Access trace data via our SDK for custom analytics and integrations.

trace_example.py
from overseer import Client

client = Client()

# Get trace by ID
trace = client.traces.get("TRACE-1847")

# Access step details
for step in trace.steps:
    print(f"{step.name}: {step.duration}ms")
    print(f"  Tokens: {step.tokens}")
    print(f"  Output: {step.output[:100]}...")

# Export for analysis
trace.export("trace_1847.json")

Stop guessing, start seeing

Download Overseer and get complete visibility into your AI systems.