feat: add rare disease MDT copilot team with ontology-first workflow#99
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hazelian0619 wants to merge 1 commit intoaristoteleo:mainfrom
Closed
feat: add rare disease MDT copilot team with ontology-first workflow#99hazelian0619 wants to merge 1 commit intoaristoteleo:mainfrom
hazelian0619 wants to merge 1 commit intoaristoteleo:mainfrom
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Introduce a production rare disease multi-agent team for evidence-backed differential reasoning. The team coordinates six specialized agents through a structured workflow: phenotype normalization → evidence retrieval → genotype analysis → audit → clinician-facing report. Core additions: - 6 agent definitions (leader, phenotype_structurer, evidence_researcher, genotype_analyst, auditor, reporter) - rare_disease_team template assembling the full workflow - rd_ontology ToolSet providing agent-native SQLite queries against Orphanet/OMIM/HPO data - rd_ontology_first skill enforcing ontology-before-online retrieval - ETL pipeline (build_rd_ontology.py) and CLI query helper (query_rd_ontology.py) Architecture follows a dual-layer design: offline ontology layer (Orphanet/OMIM/HPO → local SQLite) for deterministic normalization, then online evidence layer (BioMCP/Web/DB API) for literature. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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Superseded by v2. |
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Summary
Introduce a production rare disease multi-agent team for evidence-backed differential reasoning. The "Rare Disease MDT Copilot" coordinates six specialized agents through a structured clinical decision-support workflow.
What's included
Agent definitions (6 agents)
Team template
rare_disease_team— assembles the 6 agents with a hard workflow contractOntology layer
rd_ontologyToolSet — agent-native SQLite queries against Orphanet/OMIM/HPO (6 tools: resolve_term, search_disease, get_disease, get_hpo_term, find_by_hpo, stats)rd_ontology_firstskill — enforces ontology-before-online retrieval patternbuild_rd_ontology.py) — Orphanet XML + HPO .obo/.hpoa + OMIM → rd_ontology.sqlitequery_rd_ontology.py) — resolve disease aliases, fetch detailed recordsArchitecture
Dual-layer design: offline ontology layer (Orphanet/OMIM/HPO → local SQLite) for deterministic normalization, then online evidence layer (BioMCP/Web/DB API) for literature and current evidence.
Design notes
🤖 Generated with Claude Code