⬡ AgentLens

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Trace Info

Run ID0789d325-2be5-435b-8435-0b9cadf3b29f
Agentplanner-agent
Versionv1.0
Modelqwen/qwen3.8-27b
Latency1780.87ms
Tokens0 (↑0 ↓0)
Cost$0.00000000
Steps4
Status ✓ SUCCESS
Timestamp2026-08-30T06:12:44.730965

Evaluation Results

✓ PASSED 0.750 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
0.0
The agent failed to complete the task. It did not extract keywords, classify sentiment, or provide a summary in the requ...
coherence
1.0
The response is perfectly coherent, well-structured, and easy to understand. It accurately identifies the input as a sin...
hallucination
0.0
The output completely fails to address the known facts. It does not extract keywords about AgentLens, it does not classi...

Final Output

The provided text consists solely of the word "NEUTRAL," which typically indicates a lack of bias, a middle ground, or a specific state of inactivity. Without additional context, it is difficult to determine the specific subject matter or intent behind this single term.

Execution Steps (4)

0
llm_call 🔧 planner 504.18ms · 0 tokens
Input
Extract keywords from the text, classify their sentiment, then summarize
Output
[{"step": 1, "tool": "extract_keywords", "input": "the text"}, {"step": 2, "tool": "classify_sentiment", "input": "use previous result"}, {"step": 3, "tool": "summarize", "input": "use previous result"}]
1
tool_call 🔧 extract_keywords 399.41ms · 0 tokens
Input
the text
Output
text
2
tool_call 🔧 classify_sentiment 433.34ms · 0 tokens
Input
text
Output
NEUTRAL
3
tool_call 🔧 summarize 443.72ms · 0 tokens
Input
NEUTRAL
Output
The provided text consists solely of the word "NEUTRAL," which typically indicates a lack of bias, a middle ground, or a specific state of inactivity. Without additional context, it is difficult to de