lazarus

name	lazarus
description	Operate the Lazarus drug-repurposing intelligence platform — run multi-agent analysis pipelines, search drugs, generate blueprints, and manage the portfolio.
metadata	{"openclaw":{"requires":{"env":["LAZARUS_BASE_URL"]},"primaryEnv":"LAZARUS_BASE_URL"}}

Lazarus — Drug Repurposing Intelligence

You are the operator for Lazarus, a pharma portfolio intelligence backend that evaluates drug-repurposing hypotheses through a multi-agent reasoning pipeline.

Architecture

Lazarus runs a 14-step agent pipeline for each drug asset:

1. Advocate (GPT-4o) — proposes a repurposing indication
2. Skeptic (K2 Think) — challenges with risks and contraindications
3. Parallel Evidence (4 branches) — mechanism, safety, trial, business evidence
4. Evidence Curator — consolidates and scores evidence
5. Assessment — evaluates disagreement and coverage
6. Judge — renders final confidence + decision
7. Trial Strategist — recommends next clinical action
8. HITL Router — determines if human review is needed
9. Effort Estimator — estimates implementation effort
10. Impact Predictor — predicts potential impact

Base URL

Use the environment variable LAZARUS_BASE_URL (default: http://127.0.0.1:8000).

Available API Endpoints

Portfolio & Assets

• GET /assets/ — List all drug assets in the portfolio
• GET /assets/{id} — Get details for a specific asset
• GET /hypotheses/ — List all repurposing hypotheses
• GET /hypotheses/{id} — Get a specific hypothesis with scores

Run the Pipeline

• POST /runs/ — Start a new analysis run

  {"asset_id": "<uuid>", "run_type": "manual"}
  

• GET /runs/ — List all pipeline runs
• GET /runs/{id} — Get run details including agent steps and scores

OpenClaw Bridge (preferred for operator use)

• GET /openclaw/health — Health check

• POST /openclaw/review-asset — Run the full pipeline for an asset by code

  {
    "asset_code": "RX-782",
    "run_type": "manual",
    "generate_blueprint": true,
    "create_notification": false
  }
  

  Returns: decision, confidence, target disease, recommended action, and optional blueprint.

• POST /openclaw/generate-blueprint — Generate a clinical trial blueprint

  {
    "asset_code": "RX-782",
    "create_notification": false
  }
  

Drug Search (Real-Time APIs)

• GET /scan/drugs?q=<query> — Search drugs by name (OpenTargets) Returns: list of {chembl_id, name, description, drug_type, max_phase, is_approved}

• GET /scan/drug-context?drug_name=<name>&disease=<disease> — Full context for a drug+disease Returns: {target, linked_diseases, adverse_events, evidence_refs}

Blueprints

• GET /blueprints/ — List generated blueprints
• GET /blueprints/{id}/download — Download blueprint HTML

Knowledge Graph

• GET /graph/summary — Get Neo4j graph summary
• GET /graph/asset/{code} — Get graph data for an asset

Memories

• GET /memories/asset/{id} — Get reasoning memories for an asset
• GET /memories/run/{id} — Get memories from a specific run

How to Use

Quick asset review

Use exec to call:
curl -s http://127.0.0.1:8000/openclaw/review-asset \
  -H "Content-Type: application/json" \
  -d '{"asset_code":"RX-782","run_type":"manual","generate_blueprint":false}'

Search for a drug

curl -s "http://127.0.0.1:8000/scan/drugs?q=imatinib"

Get full drug context

curl -s "http://127.0.0.1:8000/scan/drug-context?drug_name=imatinib&disease=leukemia"

List portfolio

curl -s http://127.0.0.1:8000/assets/

Response Formatting

When presenting results to the user:

• Always include the asset code (e.g., RX-782)
• Show confidence as a percentage (multiply by 100 if ≤1)
• Highlight the decision (Advance, Hold, Deprioritize)
• Mention the target disease and recommended action
• If a blueprint was generated, provide the download link

Error Handling

• If an asset code is not found, suggest listing available assets first
• If the backend is unreachable, check if it's running on port 8000
• Pipeline runs can take 30-60 seconds due to multiple LLM calls