[Team PaLM] — TRP1 FDE Programme, April 2026

[yosef-zewdu]

Summary

• Pass@1: 0.474
• Trials: 5 runs per query
• Agent name: Oracle Forge
• Backbone LLM: Gemini 3.1 pro preview (via OpenRouter)
• Hints: Context Layer

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Architecture

• ContextManager curated domain KB, AGENT.md and corrections log
• AgenticLoop — LLM-driven tool execution max 30 iterations per query.
• ExecutionEngine/ MCPToolbox — hybrid routing: Google MCP Toolbox for PostgreSQL/SQLite/MongoDB; DuckDB MCP server for DuckDB.
• SelfCorrectionLoop — failure categorisation, LLM-guided repair, known join-key fixes, max 3 retries, outcomes logged back into Layer 3.

Per-Dataset Results

Dataset	Pass@1
agnews	0.25
bookreview	1.00
crmarenapro	0.60
deps_dev_v1	0.00
github_repos	0.00
googlelocal	0.65
music_brainz_20k	0.67
pancancer_atlas	1.00
patents	0.00
stockindex	0.60
stockmarket	0.44
yelp	0.31
OVERALL	0.47

[shreyashankar]

Hi @yosef-zewdu — we're missing coverage. The file has 30 entries across 9 of 12 datasets (missing GITHUB_REPOS, PANCANCER_ATLAS, music_brainz_20k) and 28 of 54 queries, with 1–2 runs each. Per the instructions in the README, we need every query across all 12 datasets with at least 5 runs per query. If you didn't attempt some queries, include those entries with "answer": "". Once it's in I'll re-run verification and post the Pass@1 here.

[yosef-zewdu]

@shreyashankar Thanks for the response. We will get back as the instruction suggest.

[yosef-zewdu]

Hello @shreyashankar , I have updated our submission with 5 runs per query as you mentioned. We have also updated the results. I request a re run for verification.