⬡ AgentLens

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Trace Info

Run IDca4d9df1-e339-4ef0-8700-a2fbd01fc813
Agentplanner-agent
Versionv2.0
Modelqwen/qwen3.8-27b
Latency1461.87ms
Tokens0 (↑0 ↓0)
Cost$0.00000000
Steps3
Status ✓ SUCCESS
Timestamp2026-08-31T19:32:50.306030

Evaluation Results

✓ PASSED 0.750 overall score
Rule-based
✅ no_error
1.0
✅ output_not_empty
1.0
✅ latency_sla
1.0
❌ output_length
0.5
✅ no_refusal
1.0
LLM Judge
❌ task_success
0.5
The agent provided 'POSITIF', which is the French translation of 'Positive'. However, the task required two distinct ste...
❌ coherence
0.0
The response 'POSITIF' is a single word that lacks context, structure, or explanation. It does not constitute a coherent...
✅ hallucination
1.0
The output 'POSITIF' is the correct French translation of the positive sentiment word 'positive'. It does not contradict...

Final Output

POSITIF

Execution Steps (3)

0
llm_call 🔧 planner 652.68ms · 0 tokens
Input
Classify the sentiment of the text, then translate the sentiment result to French
Output
[{"step": 1, "tool": "classify_sentiment", "use_input": "original"}, {"step": 2, "tool": "translate", "use_input": "previous"}]
1
tool_call 🔧 classify_sentiment 441.67ms · 0 tokens
Input
AgentLens is a production-grade observability platform designed for LLM agent pipelines. It automatically instruments any agent, captures detailed execution traces, and runs both rule-based and LLM-j
Output
POSITIVE
2
tool_call 🔧 translate 367.32ms · 0 tokens
Input
POSITIVE
Output
POSITIF