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Trace Info

Run ID34724bc1-a3ee-41e4-b876-55fb191a6264
Agentrag-agent-v2
Versionv2.0
Modelqwen/qwen3.8-27b
Latency430.19ms
Tokens211 (↑183 ↓28)
Cost$0.00006959
Steps2
Status ✓ SUCCESS
Timestamp2026-08-31T01:56:52.257053

Evaluation Results

✓ PASSED 0.962 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
0.66
The agent correctly mentioned HDBSCAN and sentence-transformers, which are two of the three required components. However...
✅ coherence
1.0
The response is concise, directly answers the implied question about how failure clustering works, and clearly identifie...
✅ groundedness
1.0
The agent's output accurately reflects the information provided in the 'Failure Clustering' context section, which state...
✅ hallucination
1.0
The output correctly identifies the use of HDBSCAN and sentence-transformers for failure clustering, which aligns perfec...

Final Output

Based on the provided context, failure clustering works by using **HDBSCAN** and **sentence-transformers** to group failed runs.

Execution Steps (2)

0
tool_call 🔧 faiss-retriever 7.28ms · 0 tokens
Input
How does failure clustering work?
Output
Retrieved 3 relevant docs (threshold=0.15): ['Failure Clustering', 'Evaluation Engine', 'Regression Detection']
1
llm_call 422.69ms · 211 tokens
Input
Context: [Failure Clustering] (relevance: 0.731) Failure clustering uses HDBSCAN and sentence-transformers to group failed runs. [Evaluation Engine] (relevance: 0.223) The Evaluation Engine runs rule
Output
Based on the provided context, failure clustering works by using **HDBSCAN** and **sentence-transformers** to group failed runs.