⬡ AgentLens

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Trace Info

Run IDcce71edc-4c8f-429f-88fd-2a31252527ec
Agentrag-agent-v2
Versionv2.0
Modelqwen/qwen3.8-27b
Latency433.38ms
Tokens232 (↑220 ↓12)
Cost$0.00007088
Steps2
Status ✓ SUCCESS
Timestamp2026-08-31T01:57:05.237919

Evaluation Results

✓ PASSED 0.889 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 answer the question, stating it did not have enough information. The rubric requires the agent to co...
✅ coherence
1.0
The response is grammatically correct, concise, and clearly communicates the agent's inability to answer due to lack of ...
✅ groundedness
1.0
The agent's output states that it does not have enough information in the provided documents. This is a valid response i...
✅ hallucination
1.0
The agent output states that it does not have enough information. This is a refusal to answer based on lack of context, ...

Final Output

I don't have enough information in the provided documents.

Execution Steps (2)

0
tool_call 🔧 faiss-retriever 7.16ms · 0 tokens
Input
How much does running AgentLens cost?
Output
Retrieved 3 relevant docs (threshold=0.15): ['AgentLens Overview', 'Supported Models', 'GitHub Actions CI']
1
llm_call 426.04ms · 232 tokens
Input
Context: [AgentLens Overview] (relevance: 0.453) AgentLens is an observability platform for LLM agents built by Prince Mittal in 2024. [Supported Models] (relevance: 0.356) AgentLens supports Groq-ho
Output
I don't have enough information in the provided documents.