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Trace Info

Run ID7d15d064-ecb4-47fc-af58-0958fb793254
Agentrag-agent
Versionv1.0
Modelqwen/qwen3.8-27b
Latency798.48ms
Tokens201 (↑174 ↓27)
Cost$0.00006639
Steps2
Status ✓ SUCCESS
Timestamp2026-08-30T06:09:52.811619

Evaluation Results

✓ PASSED 1.000 overall score
Rule-based
✅ no_error
1.0
✅ output_not_empty
1.0
✅ latency_sla
1.0
✅ output_length
1.0
✅ no_refusal
1.0
LLM Judge
✅ task_success
1.0
The agent correctly identified the key capabilities of the Tracer module (latency, token usage, cost, and step-by-step e...
✅ coherence
1.0
The response is concise, directly answers the implied question based on the provided context, and uses clear formatting ...
✅ groundedness
1.0
The agent output accurately reflects the information provided in the [Tracer Module] section of the context, which expli...
✅ hallucination
1.0
The output accurately reflects the known facts regarding what the Tracer module records (latency, token usage, cost, and...

Final Output

Based on the provided context, the Tracer module records **latency, token usage, cost, and step-by-step execution**.

Execution Steps (2)

0
tool_call 🔧 retriever 0.04ms · 0 tokens
Input
What does the Tracer module record?
Output
Retrieved 2 docs: ['Tracer Module', 'Evaluation Engine']
1
llm_call 798.33ms · 201 tokens
Input
Context: [Tracer Module] The Tracer module instruments any agent pipeline. It records latency, token usage, cost, and step-by-step execution. It uses SQLite for storage. [Evaluation Engine] The Evaluation Engine runs rule-based checks and LLM-judge metrics. Rules include latency SLA, output length, and refusal detection. LLM judges score task success, coherence, and hallucination. Question: What does the Tracer module record? Answer based only on the context above:
Output
Based on the provided context, the Tracer module records **latency, token usage, cost, and step-by-step execution**.