⬡ AgentLens

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Trace Info

Run IDc14167f1-41f4-4885-8ebe-ca0e33485633
Agentrag-agent-v2
Versionv2.0
Modelqwen/qwen3.8-27b
Latency12168.12ms
Tokens226 (↑200 ↓26)
Cost$0.00007334
Steps2
Status ✓ SUCCESS
Timestamp2026-08-31T01:56:36.889179

Evaluation Results

✓ PASSED 0.889 overall score
Rule-based
✅ no_error
1.0
✅ output_not_empty
1.0
❌ latency_sla
0.0
✅ output_length
1.0
✅ no_refusal
1.0
LLM Judge
✅ task_success
1.0
The agent correctly identified the specific data points (latency, tokens, cost, and steps) recorded by the Tracer module...
✅ coherence
1.0
The response is concise, directly answers the implied question based on the provided context, and clearly lists the spec...
✅ groundedness
1.0
The agent's output accurately reflects the information provided in the [Tracer Module] context, which states that the mo...
✅ hallucination
1.0
The output accurately reflects the known facts. It correctly identifies the recorded metrics (latency, tokens, cost, ste...

Final Output

Based on the provided context, the Tracer module records **latency, tokens, cost, and steps** using SQLite.

Execution Steps (2)

0
tool_call 🔧 faiss-retriever 11600.53ms · 0 tokens
Input
What does the Tracer module record?
Output
Retrieved 3 relevant docs (threshold=0.15): ['Tracer Module', 'Evaluation Engine', 'Dashboard']
1
llm_call 509.08ms · 226 tokens
Input
Context: [Tracer Module] (relevance: 0.565) The Tracer module records latency, tokens, cost, and steps using SQLite. [Evaluation Engine] (relevance: 0.229) The Evaluation Engine runs rule-based and L
Output
Based on the provided context, the Tracer module records **latency, tokens, cost, and steps** using SQLite.