⬡ AgentLens

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Trace Info

Run IDd76e9586-8a8d-4177-b5b3-06126474b75a
Agentplanner-agent
Versionv2.0
Modelqwen/qwen3.8-27b
Latency457.15ms
Tokens0 (↑0 ↓0)
Cost$0.00000000
Steps3
Status ✓ SUCCESS
Timestamp2026-08-31T19:32:53.859527

Evaluation Results

✓ PASSED 0.875 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 clearly reported the JSON parse failure by stating 'Pipeline failed. Errors: Tool 'parse_json' failed: JSON pa...
coherence
0.0
The response is a raw error log indicating a pipeline failure, not a coherent or well-structured answer to a user query....
hallucination
1.0
The agent output accurately reflects the known facts. It correctly identifies that the 'parse_json' tool failed, which a...

Final Output

Pipeline failed. Errors: Tool 'parse_json' failed: JSON parse error: unexpected token at position 0 in: ' AgentLens is a production-gra...'; Step 2: previous step (1) produced no output — skipping

Execution Steps (3)

0
llm_call 🔧 planner 456.92ms · 0 tokens
Input
Parse the text as JSON, then summarize it
Output
[{"step": 1, "tool": "parse_json", "use_input": "original"}, {"step": 2, "tool": "summarize", "use_input": "previous"}]
1
tool_call 🔧 parse_json 0.01ms · 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
— empty —
⚠ Tool 'parse_json' failed: JSON parse error: unexpected token at position 0 in: ' AgentLens is a production-gra...'
2
tool_call 🔧 summarize 0ms · 0 tokens
Input
(empty — previous step failed)
Output
— empty —
⚠ Step 2: previous step (1) produced no output — skipping