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FEAT: Add more information about Patient intake agent
Browse files- README.md +0 -64
- clinical_trials_guru.py +0 -114
- pyproject.toml +2 -2
- uv.lock +44 -44
README.md
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---
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title: Beacon Trial Finder
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emoji: 📚
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short_description: help patients with rare disease to find clinical trials
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---
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=======
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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# Beacon — Rare Disease Clinical Trial Finder
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Beacon is a conversational AI assistant that helps patients with rare diseases find relevant recruiting clinical trials near them. It conducts a warm intake interview, geocodes the patient's location, queries [ClinicalTrials.gov](https://clinicaltrials.gov) in real time, and produces a ranked report of the closest matching trials.
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## How it works
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1. **Intake agent** (Claude Sonnet) — interviews the patient conversationally to collect disease, age, symptom onset date, formal diagnosis date, location, preferred trial phases, and whether they are interested in Expanded Access Programs (EAP / compassionate use).
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2. **Research agent** (Claude Opus) — searches ClinicalTrials.gov via the official v2 API for clinical trials and/or EAP listings, retrying with synonyms or wider radii if results are sparse, then outputs a ranked report with eligibility notes and next steps.
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3. **LangGraph** orchestrates the two-node pipeline (intake → research).
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EAP (also called compassionate use) allows patients who do not qualify for or cannot access a clinical trial to receive an investigational drug or device outside of a formal trial. The treatment is not yet FDA-approved; a physician must submit the EAP request to the drug sponsor and obtain FDA authorization. Beacon can search for available EAP listings alongside clinical trials.
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=======
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1. **Intake agent** (Claude Sonnet) — interviews the patient conversationally to collect disease, age, symptom onset, location, and optional benchmark scores.
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2. **Research agent** (Claude Opus) — searches ClinicalTrials.gov via the official v2 API, retrying with synonyms or wider radii if results are sparse, then outputs a ranked trial report with eligibility notes and next steps.
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3. **LangGraph** orchestrates the two-node pipeline (intake → research).
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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## Project setup
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### Prerequisites
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Open `.env` and replace the placeholder values:
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```env
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ANTHROPIC_API_KEY=your_anthropic_api_key_here
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```
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| Environment variable | Default | Description |
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|----------------------|-------------|-------------------|
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| `ANTHROPIC_API_KEY` | *(required)*| Anthropic API key |
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=======
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# ⚠️ Replace with your actual API keys — never commit real keys to version control
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OPENAI_API_KEY=your_openai_api_key_here
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ANTHROPIC_API_KEY=your_anthropic_api_key_here
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```
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- Get your Anthropic key at <https://console.anthropic.com>
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- Get your OpenAI key at <https://platform.openai.com/api-keys>
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### 4. Run
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```bash
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uv run python main.py
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```
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Or if using a plain virtualenv:
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```bash
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python main.py
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```
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## Configuration
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| Environment variable | Default | Description |
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| `ANTHROPIC_API_KEY` | *(required)*| Anthropic API key |
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| `OPENAI_API_KEY` | *(optional)*| OpenAI API key (only needed for OpenAI provider) |
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| `LLM_PROVIDER` | `anthropic` | LLM backend: `anthropic` or `openai` |
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To switch to the OpenAI backend, set `LLM_PROVIDER=openai` in `.env`.
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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## Project structure
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```
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beacon/
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├── app.py # Gradio web UI entry point
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├── main.py # Terminal entry point
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├── clinical_trials_guru.py # Intake + research agents, LangGraph pipeline
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└── .env # Local secrets — not committed
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```
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=======
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├── main.py # Entry point
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├── clinical_trials_guru.py # Intake + research agents, LangGraph pipeline
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├── llm.py # LLM provider abstraction (Anthropic / OpenAI)
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├── pyproject.toml
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├── .env # Local secrets — not committed
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└── .gitignore
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```
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## Dependencies
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| Package | Purpose |
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| `anthropic` | Claude API client |
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| `openai` | OpenAI API client |
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| `langgraph` | Agent pipeline orchestration |
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| `rich` | Terminal UI (panels, markdown, etc.) |
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| `python-dotenv` | `.env` file loading |
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| `httpx` | HTTP client for ClinicalTrials.gov |
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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=======
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=======
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---
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title: Beacon Trial Finder
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---
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title: Beacon Trial Finder
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emoji: 📚
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short_description: help patients with rare disease to find clinical trials
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---
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# Beacon — Rare Disease Clinical Trial Finder
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Beacon is a conversational AI assistant that helps patients with rare diseases find relevant recruiting clinical trials near them. It conducts a warm intake interview, geocodes the patient's location, queries [ClinicalTrials.gov](https://clinicaltrials.gov) in real time, and produces a ranked report of the closest matching trials.
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## How it works
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1. **Intake agent** (Claude Sonnet) — interviews the patient conversationally to collect disease, age, symptom onset date, formal diagnosis date, location, preferred trial phases, and whether they are interested in Expanded Access Programs (EAP / compassionate use).
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2. **Research agent** (Claude Opus) — searches ClinicalTrials.gov via the official v2 API for clinical trials and/or EAP listings, retrying with synonyms or wider radii if results are sparse, then outputs a ranked report with eligibility notes and next steps.
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3. **LangGraph** orchestrates the two-node pipeline (intake → research).
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EAP (also called compassionate use) allows patients who do not qualify for or cannot access a clinical trial to receive an investigational drug or device outside of a formal trial. The treatment is not yet FDA-approved; a physician must submit the EAP request to the drug sponsor and obtain FDA authorization. Beacon can search for available EAP listings alongside clinical trials.
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## Project setup
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### Prerequisites
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Open `.env` and replace the placeholder values:
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```env
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ANTHROPIC_API_KEY=your_anthropic_api_key_here
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```
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| Environment variable | Default | Description |
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|----------------------|-------------|-------------------|
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| `ANTHROPIC_API_KEY` | *(required)*| Anthropic API key |
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## Project structure
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```
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beacon/
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├── app.py # Gradio web UI entry point
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├── main.py # Terminal entry point
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├── clinical_trials_guru.py # Intake + research agents, LangGraph pipeline
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└── .env # Local secrets — not committed
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```
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=======
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=======
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---
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title: Beacon Trial Finder
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clinical_trials_guru.py
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"type": "integer",
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"description": "Months since first symptom onset",
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},
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"diagnosis_months": {
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"type": "integer",
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"description": "Months since formal/official diagnosis",
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},
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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"benchmarks": {
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"type": "object",
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"description": "Disease-specific scores, e.g. {\"ALSFRS-R\": \"38\"}",
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"phases": {
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"type": "array",
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"items": {"type": "string", "enum": ["0", "1", "2", "3", "4"]},
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"description": "Desired trial phases (0=Early Phase 1, 1=Phase 1, 2=Phase 2, 3=Phase 3, 4=Phase 4). Empty = all phases.",
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},
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"include_eap": {
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},
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"required": ["disease", "age", "onset_months", "diagnosis_months", "zip_code"],
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"description": "Desired trial phases. Empty = all phases.",
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},
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},
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"required": ["disease", "age", "onset_months", "zip_code"],
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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},
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}
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SEARCH_TRIALS_TOOL: anthropic.types.ToolParam = {
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"name": "search_clinical_trials",
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"description": (
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"Search ClinicalTrials.gov for studies within a geographic radius. "
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"Results are pre-ranked by distance from the patient's location. "
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"Call multiple times with different parameters (synonyms, broader radius, "
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"different phases) if initial results are sparse. "
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"Use study_type='EXPANDED_ACCESS' to search for Expanded Access Programs (EAP / compassionate use)."
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=======
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"Search ClinicalTrials.gov for recruiting trials within a geographic radius. "
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"different phases) if initial results are sparse."
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),
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"input_schema": {
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"type": "object",
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"phases": {
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"type": "array",
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"items": {"type": "string"},
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"description": "Phase numbers to filter ['1','2','3']. Empty = all. Ignored for EAP.",
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},
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"study_type": {
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"type": "string",
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"enum": ["INTERVENTIONAL", "EXPANDED_ACCESS"],
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"description": "INTERVENTIONAL (default) for clinical trials; EXPANDED_ACCESS for EAP/compassionate use.",
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"description": "Phase numbers to filter ['1','2','3']. Empty = all.",
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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},
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"max_results": {"type": "integer", "description": "Max trials to return (default 20)"},
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},
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• Disease/condition (standardize: "Lou Gehrig's" → "Amyotrophic Lateral Sclerosis")
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• Patient age
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• Months since first symptom onset (convert dates/years as needed)
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• Months since formal/official diagnosis (convert dates/years as needed; may differ from onset)
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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• ZIP/postal code and country for geographic search
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OPTIONAL (ask based on disease):
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• Disease-specific benchmark scores:
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ALS → ALSFRS-R (0-48) + FVC % predicted (0-100%) + ALS subtype;
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FVC (Forced Vital Capacity) measures how much air a person can forcibly exhale —
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it reflects respiratory muscle strength. In ALS it is expressed as a percentage
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- Or both; or all phases (default if no preference)
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Ask naturally. You may infer disease synonyms and convert dates to months, but never infer or skip the ZIP/postal code — always ask the patient for it directly. Once you have every required field confirmed by the patient, call submit_profile.\
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ALS → ALSFRS-R (0-48); MS → EDSS (0-10); Parkinson's → MDS-UPDRS III;
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Huntington's → TFC (0-13) + CAG repeats; SMA → HFMS + SMA type;
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Duchenne/Pompe → 6-Minute Walk Test; Friedreich's → SARA score
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• Preferred search radius in miles (default 100)
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• Trial phases of interest (1 / 2 / 3 / 4 / early)
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Ask naturally. Infer what you can. Once you have the required fields, call submit_profile.\
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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"""
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RESEARCH_SYSTEM = """\
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Workflow:
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1. Search for the patient's disease. Use both the full medical name and common abbreviation.
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- If the patient wants clinical trials, search with study_type="INTERVENTIONAL".
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- If the patient wants Expanded Access Programs (EAP), also search with study_type="EXPANDED_ACCESS".
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- If the patient wants both, run separate searches for each study_type.
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**Qualification criteria:** [Key inclusion AND exclusion criteria relevant to this patient,
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including age range, functional score thresholds, FVC cutoffs,
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and any red flags. Be specific — use exact numbers from the data.]
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2. If fewer than 3 results are found, retry with: a wider radius, a disease synonym,
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or fewer phase filters.
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3. Produce a final report listing the top 5 trials ranked by site proximity.
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For EACH trial use exactly this format (repeat the block per trial):
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📍 **[Closest hospital name]** — [City, State] ([X] mi)
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**Trial:** [Full trial title] ([Phase])
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**Sponsor:** [Lead sponsor]
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**Summary:** [2–3 sentence plain-language description of what the trial is testing
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and why it may matter for this patient]
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**Eligibility notes:** [Key inclusion/exclusion criteria relevant to this patient,
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including any red flags]
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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**Link:** https://clinicaltrials.gov/study/[NCT_ID]
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---
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4. After the results add a short "Next steps" section (bullet points).
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For EAP results, note that patients typically need a physician to submit the EAP request.
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list, or recommend any hospitals, centers, or trials that were not in the tool results —
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even well-known institutions. If no results are found, say so clearly and suggest the patient
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ask their neurologist or contact the ALS Association for a referral.
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4. After the trial list add a short "Next steps" section (bullet points).
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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Be accurate. Do not fabricate details. If data is missing, say so.\
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"""
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disease: str
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age: int
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onset_months: int
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diagnosis_months: int = 0
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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benchmarks: dict[str, str] = field(default_factory=dict)
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zip_code: str = ""
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country_code: str = "US"
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lon: float = 0.0
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radius_miles: int = 100
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phases: list[str] = field(default_factory=list)
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include_eap: bool = False
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=======
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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def summary(self) -> str:
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lines = [
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f"Disease: {self.disease}",
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f"Age: {self.age}",
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f"Symptom onset: {self.onset_months} months ago",
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f"Formal diagnosis: {self.diagnosis_months} months ago",
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>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
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]
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if self.benchmarks:
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lines.append("Benchmarks: " + ", ".join(f"{k}={v}" for k, v in self.benchmarks.items()))
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if self.phases:
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labels = ["Early Phase 1" if p == "0" else f"Phase {p}" for p in self.phases]
|
| 301 |
lines.append(f"Phases: {', '.join(labels)}")
|
| 302 |
-
<<<<<<< HEAD
|
| 303 |
interests = ["Clinical trials"]
|
| 304 |
if self.include_eap:
|
| 305 |
interests.append("Expanded Access Programs (EAP)")
|
| 306 |
lines.append(f"Study type interest: {', '.join(interests)}")
|
| 307 |
-
=======
|
| 308 |
-
>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
|
| 309 |
return "\n".join(lines)
|
| 310 |
|
| 311 |
|
|
@@ -343,7 +278,6 @@ def search_trials_api(
|
|
| 343 |
lon: float,
|
| 344 |
radius_miles: int = 100,
|
| 345 |
phases: list[str] | None = None,
|
| 346 |
-
<<<<<<< HEAD
|
| 347 |
study_type: str = "INTERVENTIONAL",
|
| 348 |
max_results: int = 20,
|
| 349 |
) -> list[dict]:
|
|
@@ -351,18 +285,10 @@ def search_trials_api(
|
|
| 351 |
params: dict[str, str | int] = {
|
| 352 |
"query.cond": condition,
|
| 353 |
"filter.overallStatus": "AVAILABLE" if is_eap else "RECRUITING",
|
| 354 |
-
=======
|
| 355 |
-
max_results: int = 20,
|
| 356 |
-
) -> list[dict]:
|
| 357 |
-
params: dict[str, str | int] = {
|
| 358 |
-
"query.cond": condition,
|
| 359 |
-
"filter.overallStatus": "RECRUITING",
|
| 360 |
-
>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
|
| 361 |
"filter.geo": f"distance({lat},{lon},{radius_miles}mi)",
|
| 362 |
"pageSize": max_results,
|
| 363 |
"format": "json",
|
| 364 |
}
|
| 365 |
-
<<<<<<< HEAD
|
| 366 |
# aggFilters accepts only one value; studyType and phase can't be combined.
|
| 367 |
# RECRUITING status already excludes EAPs, so studyType:int is only needed
|
| 368 |
# when no phase filter is applied.
|
|
@@ -372,10 +298,6 @@ def search_trials_api(
|
|
| 372 |
params["aggFilters"] = "phase:" + " ".join(phases)
|
| 373 |
else:
|
| 374 |
params["aggFilters"] = "studyType:int"
|
| 375 |
-
=======
|
| 376 |
-
if phases:
|
| 377 |
-
params["aggFilters"] = "phase:" + " ".join(phases)
|
| 378 |
-
>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
|
| 379 |
for attempt in range(3):
|
| 380 |
try:
|
| 381 |
resp = httpx.get(CTGOV_BASE, params=params, timeout=30)
|
|
@@ -400,7 +322,6 @@ def _flatten_and_rank(studies: list[dict], patient_lat: float, patient_lon: floa
|
|
| 400 |
sponsor_mod = proto.get("sponsorCollaboratorsModule", {})
|
| 401 |
design_mod = proto.get("designModule", {})
|
| 402 |
|
| 403 |
-
<<<<<<< HEAD
|
| 404 |
# Central (overall) contacts
|
| 405 |
central_contacts = contacts_mod.get("centralContacts", [])
|
| 406 |
central_phone = next((c.get("phone", "") for c in central_contacts if c.get("phone")), "")
|
|
@@ -414,14 +335,10 @@ def _flatten_and_rank(studies: list[dict], patient_lat: float, patient_lon: floa
|
|
| 414 |
)
|
| 415 |
|
| 416 |
sites_with_dist: list[tuple[float, dict]] = []
|
| 417 |
-
=======
|
| 418 |
-
sites_with_dist: list[tuple[float, str]] = []
|
| 419 |
-
>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
|
| 420 |
for loc in contacts_mod.get("locations", []):
|
| 421 |
geo = loc.get("geoPoint", {})
|
| 422 |
if geo.get("lat") and geo.get("lon"):
|
| 423 |
d = haversine_miles(patient_lat, patient_lon, geo["lat"], geo["lon"])
|
| 424 |
-
<<<<<<< HEAD
|
| 425 |
loc_contacts = loc.get("contacts", [])
|
| 426 |
loc_phone = next((c.get("phone", "") for c in loc_contacts if c.get("phone")), "")
|
| 427 |
loc_email = next((c.get("email", "") for c in loc_contacts if c.get("email")), "")
|
|
@@ -439,15 +356,6 @@ def _flatten_and_rank(studies: list[dict], patient_lat: float, patient_lon: floa
|
|
| 439 |
"phone": loc_phone or central_phone,
|
| 440 |
"email": loc_email or central_email,
|
| 441 |
}))
|
| 442 |
-
=======
|
| 443 |
-
label = (
|
| 444 |
-
f"{loc.get('facility', '').strip()} — "
|
| 445 |
-
f"{loc.get('city', '')}, "
|
| 446 |
-
f"{loc.get('state', loc.get('country', ''))} "
|
| 447 |
-
f"({d:.0f} mi)"
|
| 448 |
-
)
|
| 449 |
-
sites_with_dist.append((d, label))
|
| 450 |
-
>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
|
| 451 |
sites_with_dist.sort(key=lambda x: x[0])
|
| 452 |
|
| 453 |
closest_dist = sites_with_dist[0][0] if sites_with_dist else None
|
|
@@ -456,22 +364,15 @@ def _flatten_and_rank(studies: list[dict], patient_lat: float, patient_lon: floa
|
|
| 456 |
"title": id_mod.get("briefTitle", ""),
|
| 457 |
"phase": ", ".join(design_mod.get("phases", [])) or "N/A",
|
| 458 |
"sponsor": sponsor_mod.get("leadSponsor", {}).get("name", ""),
|
| 459 |
-
<<<<<<< HEAD
|
| 460 |
"principal_investigator": pi,
|
| 461 |
"contact_phone": central_phone,
|
| 462 |
"contact_email": central_email,
|
| 463 |
-
=======
|
| 464 |
-
>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
|
| 465 |
"summary": desc_mod.get("briefSummary", "")[:500],
|
| 466 |
"eligibility": elig_mod.get("eligibilityCriteria", "")[:1000],
|
| 467 |
"min_age": elig_mod.get("minimumAge", ""),
|
| 468 |
"max_age": elig_mod.get("maximumAge", ""),
|
| 469 |
"closest_site_miles": round(closest_dist, 1) if closest_dist is not None else None,
|
| 470 |
-
<<<<<<< HEAD
|
| 471 |
"nearest_sites": [info for _, info in sites_with_dist[:5]],
|
| 472 |
-
=======
|
| 473 |
-
"nearest_sites": [label for _, label in sites_with_dist[:5]],
|
| 474 |
-
>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
|
| 475 |
})
|
| 476 |
|
| 477 |
result.sort(key=lambda x: x["closest_site_miles"] if x["closest_site_miles"] is not None else float("inf"))
|
|
@@ -524,10 +425,7 @@ def run_intake_agent(client: anthropic.Anthropic) -> PatientProfile:
|
|
| 524 |
disease=data["disease"],
|
| 525 |
age=data["age"],
|
| 526 |
onset_months=data["onset_months"],
|
| 527 |
-
<<<<<<< HEAD
|
| 528 |
diagnosis_months=data.get("diagnosis_months", 0),
|
| 529 |
-
=======
|
| 530 |
-
>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
|
| 531 |
benchmarks=data.get("benchmarks") or {},
|
| 532 |
zip_code=data["zip_code"],
|
| 533 |
country_code=data.get("country_code", "US"),
|
|
@@ -535,10 +433,7 @@ def run_intake_agent(client: anthropic.Anthropic) -> PatientProfile:
|
|
| 535 |
lon=lon,
|
| 536 |
radius_miles=data.get("radius_miles", 100),
|
| 537 |
phases=data.get("phases") or [],
|
| 538 |
-
<<<<<<< HEAD
|
| 539 |
include_eap=data.get("include_eap", False),
|
| 540 |
-
=======
|
| 541 |
-
>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
|
| 542 |
)
|
| 543 |
|
| 544 |
messages.append({"role": "assistant", "content": response.content})
|
|
@@ -583,17 +478,11 @@ def run_research_agent(client: anthropic.Anthropic, profile: PatientProfile) ->
|
|
| 583 |
args = block.input
|
| 584 |
radius = args.get("radius_miles", profile.radius_miles)
|
| 585 |
phases = args.get("phases") or None
|
| 586 |
-
<<<<<<< HEAD
|
| 587 |
study_type = args.get("study_type", "INTERVENTIONAL")
|
| 588 |
status_msg = (
|
| 589 |
f"[cyan]Searching:[/cyan] '[bold]{args['condition']}[/bold]' | "
|
| 590 |
f"radius=[bold]{radius}[/bold] mi | "
|
| 591 |
f"type=[bold]{study_type}[/bold] | "
|
| 592 |
-
=======
|
| 593 |
-
status_msg = (
|
| 594 |
-
f"[cyan]Searching:[/cyan] '[bold]{args['condition']}[/bold]' | "
|
| 595 |
-
f"radius=[bold]{radius}[/bold] mi | "
|
| 596 |
-
>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
|
| 597 |
f"phases=[bold]{phases or 'all'}[/bold]"
|
| 598 |
)
|
| 599 |
try:
|
|
@@ -604,10 +493,7 @@ def run_research_agent(client: anthropic.Anthropic, profile: PatientProfile) ->
|
|
| 604 |
lon=args["lon"],
|
| 605 |
radius_miles=radius,
|
| 606 |
phases=phases,
|
| 607 |
-
<<<<<<< HEAD
|
| 608 |
study_type=study_type,
|
| 609 |
-
=======
|
| 610 |
-
>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
|
| 611 |
max_results=args.get("max_results", 20),
|
| 612 |
)
|
| 613 |
ranked = _flatten_and_rank(studies, profile.lat, profile.lon)
|
|
|
|
| 41 |
"type": "integer",
|
| 42 |
"description": "Months since first symptom onset",
|
| 43 |
},
|
|
|
|
| 44 |
"diagnosis_months": {
|
| 45 |
"type": "integer",
|
| 46 |
"description": "Months since formal/official diagnosis",
|
| 47 |
},
|
|
|
|
|
|
|
| 48 |
"benchmarks": {
|
| 49 |
"type": "object",
|
| 50 |
"description": "Disease-specific scores, e.g. {\"ALSFRS-R\": \"38\"}",
|
|
|
|
| 62 |
"phases": {
|
| 63 |
"type": "array",
|
| 64 |
"items": {"type": "string", "enum": ["0", "1", "2", "3", "4"]},
|
|
|
|
| 65 |
"description": "Desired trial phases (0=Early Phase 1, 1=Phase 1, 2=Phase 2, 3=Phase 3, 4=Phase 4). Empty = all phases.",
|
| 66 |
},
|
| 67 |
"include_eap": {
|
|
|
|
| 70 |
},
|
| 71 |
},
|
| 72 |
"required": ["disease", "age", "onset_months", "diagnosis_months", "zip_code"],
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 73 |
},
|
| 74 |
}
|
| 75 |
|
| 76 |
SEARCH_TRIALS_TOOL: anthropic.types.ToolParam = {
|
| 77 |
"name": "search_clinical_trials",
|
| 78 |
"description": (
|
|
|
|
| 79 |
"Search ClinicalTrials.gov for studies within a geographic radius. "
|
| 80 |
"Results are pre-ranked by distance from the patient's location. "
|
| 81 |
"Call multiple times with different parameters (synonyms, broader radius, "
|
| 82 |
"different phases) if initial results are sparse. "
|
| 83 |
"Use study_type='EXPANDED_ACCESS' to search for Expanded Access Programs (EAP / compassionate use)."
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 84 |
),
|
| 85 |
"input_schema": {
|
| 86 |
"type": "object",
|
|
|
|
| 95 |
"phases": {
|
| 96 |
"type": "array",
|
| 97 |
"items": {"type": "string"},
|
|
|
|
| 98 |
"description": "Phase numbers to filter ['1','2','3']. Empty = all. Ignored for EAP.",
|
| 99 |
},
|
| 100 |
"study_type": {
|
| 101 |
"type": "string",
|
| 102 |
"enum": ["INTERVENTIONAL", "EXPANDED_ACCESS"],
|
| 103 |
"description": "INTERVENTIONAL (default) for clinical trials; EXPANDED_ACCESS for EAP/compassionate use.",
|
|
|
|
|
|
|
|
|
|
| 104 |
},
|
| 105 |
"max_results": {"type": "integer", "description": "Max trials to return (default 20)"},
|
| 106 |
},
|
|
|
|
| 118 |
• Disease/condition (standardize: "Lou Gehrig's" → "Amyotrophic Lateral Sclerosis")
|
| 119 |
• Patient age
|
| 120 |
• Months since first symptom onset (convert dates/years as needed)
|
|
|
|
| 121 |
• Months since formal/official diagnosis (convert dates/years as needed; may differ from onset)
|
|
|
|
|
|
|
| 122 |
• ZIP/postal code and country for geographic search
|
| 123 |
|
| 124 |
OPTIONAL (ask based on disease):
|
| 125 |
• Disease-specific benchmark scores:
|
|
|
|
| 126 |
ALS → ALSFRS-R (0-48) + FVC % predicted (0-100%) + ALS subtype;
|
| 127 |
FVC (Forced Vital Capacity) measures how much air a person can forcibly exhale —
|
| 128 |
it reflects respiratory muscle strength. In ALS it is expressed as a percentage
|
|
|
|
| 160 |
- Or both; or all phases (default if no preference)
|
| 161 |
|
| 162 |
Ask naturally. You may infer disease synonyms and convert dates to months, but never infer or skip the ZIP/postal code — always ask the patient for it directly. Once you have every required field confirmed by the patient, call submit_profile.\
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 163 |
"""
|
| 164 |
|
| 165 |
RESEARCH_SYSTEM = """\
|
|
|
|
| 169 |
|
| 170 |
Workflow:
|
| 171 |
1. Search for the patient's disease. Use both the full medical name and common abbreviation.
|
|
|
|
| 172 |
- If the patient wants clinical trials, search with study_type="INTERVENTIONAL".
|
| 173 |
- If the patient wants Expanded Access Programs (EAP), also search with study_type="EXPANDED_ACCESS".
|
| 174 |
- If the patient wants both, run separate searches for each study_type.
|
|
|
|
| 188 |
**Qualification criteria:** [Key inclusion AND exclusion criteria relevant to this patient,
|
| 189 |
including age range, functional score thresholds, FVC cutoffs,
|
| 190 |
and any red flags. Be specific — use exact numbers from the data.]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 191 |
**Link:** https://clinicaltrials.gov/study/[NCT_ID]
|
| 192 |
|
| 193 |
---
|
| 194 |
|
|
|
|
| 195 |
4. After the results add a short "Next steps" section (bullet points).
|
| 196 |
For EAP results, note that patients typically need a physician to submit the EAP request.
|
| 197 |
|
|
|
|
| 199 |
list, or recommend any hospitals, centers, or trials that were not in the tool results —
|
| 200 |
even well-known institutions. If no results are found, say so clearly and suggest the patient
|
| 201 |
ask their neurologist or contact the ALS Association for a referral.
|
|
|
|
|
|
|
|
|
|
| 202 |
|
| 203 |
Be accurate. Do not fabricate details. If data is missing, say so.\
|
| 204 |
"""
|
|
|
|
| 210 |
disease: str
|
| 211 |
age: int
|
| 212 |
onset_months: int
|
|
|
|
| 213 |
diagnosis_months: int = 0
|
|
|
|
|
|
|
| 214 |
benchmarks: dict[str, str] = field(default_factory=dict)
|
| 215 |
zip_code: str = ""
|
| 216 |
country_code: str = "US"
|
|
|
|
| 218 |
lon: float = 0.0
|
| 219 |
radius_miles: int = 100
|
| 220 |
phases: list[str] = field(default_factory=list)
|
|
|
|
| 221 |
include_eap: bool = False
|
|
|
|
|
|
|
| 222 |
|
| 223 |
def summary(self) -> str:
|
| 224 |
lines = [
|
| 225 |
f"Disease: {self.disease}",
|
| 226 |
f"Age: {self.age}",
|
| 227 |
f"Symptom onset: {self.onset_months} months ago",
|
|
|
|
| 228 |
f"Formal diagnosis: {self.diagnosis_months} months ago",
|
|
|
|
|
|
|
| 229 |
]
|
| 230 |
if self.benchmarks:
|
| 231 |
lines.append("Benchmarks: " + ", ".join(f"{k}={v}" for k, v in self.benchmarks.items()))
|
|
|
|
| 237 |
if self.phases:
|
| 238 |
labels = ["Early Phase 1" if p == "0" else f"Phase {p}" for p in self.phases]
|
| 239 |
lines.append(f"Phases: {', '.join(labels)}")
|
|
|
|
| 240 |
interests = ["Clinical trials"]
|
| 241 |
if self.include_eap:
|
| 242 |
interests.append("Expanded Access Programs (EAP)")
|
| 243 |
lines.append(f"Study type interest: {', '.join(interests)}")
|
|
|
|
|
|
|
| 244 |
return "\n".join(lines)
|
| 245 |
|
| 246 |
|
|
|
|
| 278 |
lon: float,
|
| 279 |
radius_miles: int = 100,
|
| 280 |
phases: list[str] | None = None,
|
|
|
|
| 281 |
study_type: str = "INTERVENTIONAL",
|
| 282 |
max_results: int = 20,
|
| 283 |
) -> list[dict]:
|
|
|
|
| 285 |
params: dict[str, str | int] = {
|
| 286 |
"query.cond": condition,
|
| 287 |
"filter.overallStatus": "AVAILABLE" if is_eap else "RECRUITING",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 288 |
"filter.geo": f"distance({lat},{lon},{radius_miles}mi)",
|
| 289 |
"pageSize": max_results,
|
| 290 |
"format": "json",
|
| 291 |
}
|
|
|
|
| 292 |
# aggFilters accepts only one value; studyType and phase can't be combined.
|
| 293 |
# RECRUITING status already excludes EAPs, so studyType:int is only needed
|
| 294 |
# when no phase filter is applied.
|
|
|
|
| 298 |
params["aggFilters"] = "phase:" + " ".join(phases)
|
| 299 |
else:
|
| 300 |
params["aggFilters"] = "studyType:int"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 301 |
for attempt in range(3):
|
| 302 |
try:
|
| 303 |
resp = httpx.get(CTGOV_BASE, params=params, timeout=30)
|
|
|
|
| 322 |
sponsor_mod = proto.get("sponsorCollaboratorsModule", {})
|
| 323 |
design_mod = proto.get("designModule", {})
|
| 324 |
|
|
|
|
| 325 |
# Central (overall) contacts
|
| 326 |
central_contacts = contacts_mod.get("centralContacts", [])
|
| 327 |
central_phone = next((c.get("phone", "") for c in central_contacts if c.get("phone")), "")
|
|
|
|
| 335 |
)
|
| 336 |
|
| 337 |
sites_with_dist: list[tuple[float, dict]] = []
|
|
|
|
|
|
|
|
|
|
| 338 |
for loc in contacts_mod.get("locations", []):
|
| 339 |
geo = loc.get("geoPoint", {})
|
| 340 |
if geo.get("lat") and geo.get("lon"):
|
| 341 |
d = haversine_miles(patient_lat, patient_lon, geo["lat"], geo["lon"])
|
|
|
|
| 342 |
loc_contacts = loc.get("contacts", [])
|
| 343 |
loc_phone = next((c.get("phone", "") for c in loc_contacts if c.get("phone")), "")
|
| 344 |
loc_email = next((c.get("email", "") for c in loc_contacts if c.get("email")), "")
|
|
|
|
| 356 |
"phone": loc_phone or central_phone,
|
| 357 |
"email": loc_email or central_email,
|
| 358 |
}))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 359 |
sites_with_dist.sort(key=lambda x: x[0])
|
| 360 |
|
| 361 |
closest_dist = sites_with_dist[0][0] if sites_with_dist else None
|
|
|
|
| 364 |
"title": id_mod.get("briefTitle", ""),
|
| 365 |
"phase": ", ".join(design_mod.get("phases", [])) or "N/A",
|
| 366 |
"sponsor": sponsor_mod.get("leadSponsor", {}).get("name", ""),
|
|
|
|
| 367 |
"principal_investigator": pi,
|
| 368 |
"contact_phone": central_phone,
|
| 369 |
"contact_email": central_email,
|
|
|
|
|
|
|
| 370 |
"summary": desc_mod.get("briefSummary", "")[:500],
|
| 371 |
"eligibility": elig_mod.get("eligibilityCriteria", "")[:1000],
|
| 372 |
"min_age": elig_mod.get("minimumAge", ""),
|
| 373 |
"max_age": elig_mod.get("maximumAge", ""),
|
| 374 |
"closest_site_miles": round(closest_dist, 1) if closest_dist is not None else None,
|
|
|
|
| 375 |
"nearest_sites": [info for _, info in sites_with_dist[:5]],
|
|
|
|
|
|
|
|
|
|
| 376 |
})
|
| 377 |
|
| 378 |
result.sort(key=lambda x: x["closest_site_miles"] if x["closest_site_miles"] is not None else float("inf"))
|
|
|
|
| 425 |
disease=data["disease"],
|
| 426 |
age=data["age"],
|
| 427 |
onset_months=data["onset_months"],
|
|
|
|
| 428 |
diagnosis_months=data.get("diagnosis_months", 0),
|
|
|
|
|
|
|
| 429 |
benchmarks=data.get("benchmarks") or {},
|
| 430 |
zip_code=data["zip_code"],
|
| 431 |
country_code=data.get("country_code", "US"),
|
|
|
|
| 433 |
lon=lon,
|
| 434 |
radius_miles=data.get("radius_miles", 100),
|
| 435 |
phases=data.get("phases") or [],
|
|
|
|
| 436 |
include_eap=data.get("include_eap", False),
|
|
|
|
|
|
|
| 437 |
)
|
| 438 |
|
| 439 |
messages.append({"role": "assistant", "content": response.content})
|
|
|
|
| 478 |
args = block.input
|
| 479 |
radius = args.get("radius_miles", profile.radius_miles)
|
| 480 |
phases = args.get("phases") or None
|
|
|
|
| 481 |
study_type = args.get("study_type", "INTERVENTIONAL")
|
| 482 |
status_msg = (
|
| 483 |
f"[cyan]Searching:[/cyan] '[bold]{args['condition']}[/bold]' | "
|
| 484 |
f"radius=[bold]{radius}[/bold] mi | "
|
| 485 |
f"type=[bold]{study_type}[/bold] | "
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 486 |
f"phases=[bold]{phases or 'all'}[/bold]"
|
| 487 |
)
|
| 488 |
try:
|
|
|
|
| 493 |
lon=args["lon"],
|
| 494 |
radius_miles=radius,
|
| 495 |
phases=phases,
|
|
|
|
| 496 |
study_type=study_type,
|
|
|
|
|
|
|
| 497 |
max_results=args.get("max_results", 20),
|
| 498 |
)
|
| 499 |
ranked = _flatten_and_rank(studies, profile.lat, profile.lon)
|
pyproject.toml
CHANGED
|
@@ -10,8 +10,8 @@ dependencies = [
|
|
| 10 |
"openai>=1.0.0",
|
| 11 |
"python-dotenv>=1.2.2",
|
| 12 |
"rich>=13.0.0",
|
| 13 |
-
<<<<<<< HEAD
|
| 14 |
"gradio>=4.0.0",
|
| 15 |
=======
|
| 16 |
-
>>>>>>>
|
|
|
|
| 17 |
]
|
|
|
|
| 10 |
"openai>=1.0.0",
|
| 11 |
"python-dotenv>=1.2.2",
|
| 12 |
"rich>=13.0.0",
|
|
|
|
| 13 |
"gradio>=4.0.0",
|
| 14 |
=======
|
| 15 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 16 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 17 |
]
|
uv.lock
CHANGED
|
@@ -1,7 +1,6 @@
|
|
| 1 |
version = 1
|
| 2 |
revision = 3
|
| 3 |
requires-python = ">=3.11"
|
| 4 |
-
<<<<<<< HEAD
|
| 5 |
resolution-markers = [
|
| 6 |
"python_full_version >= '3.14' and sys_platform == 'win32'",
|
| 7 |
"python_full_version >= '3.14' and sys_platform == 'emscripten'",
|
|
@@ -23,7 +22,8 @@ wheels = [
|
|
| 23 |
{ url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303, upload-time = "2025-11-10T22:07:40.673Z" },
|
| 24 |
]
|
| 25 |
=======
|
| 26 |
-
>>>>>>>
|
|
|
|
| 27 |
|
| 28 |
[[package]]
|
| 29 |
name = "annotated-types"
|
|
@@ -67,7 +67,6 @@ wheels = [
|
|
| 67 |
]
|
| 68 |
|
| 69 |
[[package]]
|
| 70 |
-
<<<<<<< HEAD
|
| 71 |
name = "audioop-lts"
|
| 72 |
version = "0.2.2"
|
| 73 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -125,16 +124,17 @@ wheels = [
|
|
| 125 |
|
| 126 |
[[package]]
|
| 127 |
=======
|
| 128 |
-
>>>>>>>
|
|
|
|
| 129 |
name = "beacon"
|
| 130 |
version = "0.1.0"
|
| 131 |
source = { virtual = "." }
|
| 132 |
dependencies = [
|
| 133 |
{ name = "anthropic" },
|
| 134 |
-
<<<<<<< HEAD
|
| 135 |
{ name = "gradio" },
|
| 136 |
=======
|
| 137 |
-
>>>>>>>
|
|
|
|
| 138 |
{ name = "langgraph" },
|
| 139 |
{ name = "openai" },
|
| 140 |
{ name = "python-dotenv" },
|
|
@@ -144,10 +144,10 @@ dependencies = [
|
|
| 144 |
[package.metadata]
|
| 145 |
requires-dist = [
|
| 146 |
{ name = "anthropic", specifier = ">=0.50.0" },
|
| 147 |
-
<<<<<<< HEAD
|
| 148 |
{ name = "gradio", specifier = ">=4.0.0" },
|
| 149 |
=======
|
| 150 |
-
>>>>>>>
|
|
|
|
| 151 |
{ name = "langgraph", specifier = ">=1.2.0" },
|
| 152 |
{ name = "openai", specifier = ">=1.0.0" },
|
| 153 |
{ name = "python-dotenv", specifier = ">=1.2.2" },
|
|
@@ -155,7 +155,6 @@ requires-dist = [
|
|
| 155 |
]
|
| 156 |
|
| 157 |
[[package]]
|
| 158 |
-
<<<<<<< HEAD
|
| 159 |
name = "brotli"
|
| 160 |
version = "1.2.0"
|
| 161 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -205,7 +204,8 @@ wheels = [
|
|
| 205 |
|
| 206 |
[[package]]
|
| 207 |
=======
|
| 208 |
-
>>>>>>>
|
|
|
|
| 209 |
name = "certifi"
|
| 210 |
version = "2026.4.22"
|
| 211 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -304,7 +304,6 @@ wheels = [
|
|
| 304 |
]
|
| 305 |
|
| 306 |
[[package]]
|
| 307 |
-
<<<<<<< HEAD
|
| 308 |
name = "click"
|
| 309 |
version = "8.3.3"
|
| 310 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -318,7 +317,8 @@ wheels = [
|
|
| 318 |
|
| 319 |
[[package]]
|
| 320 |
=======
|
| 321 |
-
>>>>>>>
|
|
|
|
| 322 |
name = "colorama"
|
| 323 |
version = "0.4.6"
|
| 324 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -346,7 +346,6 @@ wheels = [
|
|
| 346 |
]
|
| 347 |
|
| 348 |
[[package]]
|
| 349 |
-
<<<<<<< HEAD
|
| 350 |
name = "fastapi"
|
| 351 |
version = "0.136.1"
|
| 352 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -446,7 +445,8 @@ wheels = [
|
|
| 446 |
|
| 447 |
[[package]]
|
| 448 |
=======
|
| 449 |
-
>>>>>>>
|
|
|
|
| 450 |
name = "h11"
|
| 451 |
version = "0.16.0"
|
| 452 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -456,7 +456,6 @@ wheels = [
|
|
| 456 |
]
|
| 457 |
|
| 458 |
[[package]]
|
| 459 |
-
<<<<<<< HEAD
|
| 460 |
name = "hf-gradio"
|
| 461 |
version = "0.4.1"
|
| 462 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -503,7 +502,8 @@ wheels = [
|
|
| 503 |
|
| 504 |
[[package]]
|
| 505 |
=======
|
| 506 |
-
>>>>>>>
|
|
|
|
| 507 |
name = "httpcore"
|
| 508 |
version = "1.0.9"
|
| 509 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -532,7 +532,6 @@ wheels = [
|
|
| 532 |
]
|
| 533 |
|
| 534 |
[[package]]
|
| 535 |
-
<<<<<<< HEAD
|
| 536 |
name = "huggingface-hub"
|
| 537 |
version = "1.14.0"
|
| 538 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -554,7 +553,8 @@ wheels = [
|
|
| 554 |
|
| 555 |
[[package]]
|
| 556 |
=======
|
| 557 |
-
>>>>>>>
|
|
|
|
| 558 |
name = "idna"
|
| 559 |
version = "3.14"
|
| 560 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -564,7 +564,6 @@ wheels = [
|
|
| 564 |
]
|
| 565 |
|
| 566 |
[[package]]
|
| 567 |
-
<<<<<<< HEAD
|
| 568 |
name = "jinja2"
|
| 569 |
version = "3.1.6"
|
| 570 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -578,7 +577,8 @@ wheels = [
|
|
| 578 |
|
| 579 |
[[package]]
|
| 580 |
=======
|
| 581 |
-
>>>>>>>
|
|
|
|
| 582 |
name = "jiter"
|
| 583 |
version = "0.14.0"
|
| 584 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -810,7 +810,6 @@ wheels = [
|
|
| 810 |
]
|
| 811 |
|
| 812 |
[[package]]
|
| 813 |
-
<<<<<<< HEAD
|
| 814 |
name = "markupsafe"
|
| 815 |
version = "3.0.3"
|
| 816 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -886,7 +885,8 @@ wheels = [
|
|
| 886 |
|
| 887 |
[[package]]
|
| 888 |
=======
|
| 889 |
-
>>>>>>>
|
|
|
|
| 890 |
name = "mdurl"
|
| 891 |
version = "0.1.2"
|
| 892 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -896,7 +896,6 @@ wheels = [
|
|
| 896 |
]
|
| 897 |
|
| 898 |
[[package]]
|
| 899 |
-
<<<<<<< HEAD
|
| 900 |
name = "numpy"
|
| 901 |
version = "2.4.4"
|
| 902 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -977,7 +976,8 @@ wheels = [
|
|
| 977 |
|
| 978 |
[[package]]
|
| 979 |
=======
|
| 980 |
-
>>>>>>>
|
|
|
|
| 981 |
name = "openai"
|
| 982 |
version = "2.36.0"
|
| 983 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1122,7 +1122,6 @@ wheels = [
|
|
| 1122 |
]
|
| 1123 |
|
| 1124 |
[[package]]
|
| 1125 |
-
<<<<<<< HEAD
|
| 1126 |
name = "pandas"
|
| 1127 |
version = "3.0.3"
|
| 1128 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1271,7 +1270,8 @@ wheels = [
|
|
| 1271 |
|
| 1272 |
[[package]]
|
| 1273 |
=======
|
| 1274 |
-
>>>>>>>
|
|
|
|
| 1275 |
name = "pydantic"
|
| 1276 |
version = "2.13.4"
|
| 1277 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1389,7 +1389,6 @@ wheels = [
|
|
| 1389 |
]
|
| 1390 |
|
| 1391 |
[[package]]
|
| 1392 |
-
<<<<<<< HEAD
|
| 1393 |
name = "pydub"
|
| 1394 |
version = "0.25.1"
|
| 1395 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1400,7 +1399,8 @@ wheels = [
|
|
| 1400 |
|
| 1401 |
[[package]]
|
| 1402 |
=======
|
| 1403 |
-
>>>>>>>
|
|
|
|
| 1404 |
name = "pygments"
|
| 1405 |
version = "2.20.0"
|
| 1406 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1410,7 +1410,6 @@ wheels = [
|
|
| 1410 |
]
|
| 1411 |
|
| 1412 |
[[package]]
|
| 1413 |
-
<<<<<<< HEAD
|
| 1414 |
name = "python-dateutil"
|
| 1415 |
version = "2.9.0.post0"
|
| 1416 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1424,7 +1423,8 @@ wheels = [
|
|
| 1424 |
|
| 1425 |
[[package]]
|
| 1426 |
=======
|
| 1427 |
-
>>>>>>>
|
|
|
|
| 1428 |
name = "python-dotenv"
|
| 1429 |
version = "1.2.2"
|
| 1430 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1434,7 +1434,6 @@ wheels = [
|
|
| 1434 |
]
|
| 1435 |
|
| 1436 |
[[package]]
|
| 1437 |
-
<<<<<<< HEAD
|
| 1438 |
name = "python-multipart"
|
| 1439 |
version = "0.0.28"
|
| 1440 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1454,7 +1453,8 @@ wheels = [
|
|
| 1454 |
|
| 1455 |
[[package]]
|
| 1456 |
=======
|
| 1457 |
-
>>>>>>>
|
|
|
|
| 1458 |
name = "pyyaml"
|
| 1459 |
version = "6.0.3"
|
| 1460 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1550,7 +1550,6 @@ wheels = [
|
|
| 1550 |
]
|
| 1551 |
|
| 1552 |
[[package]]
|
| 1553 |
-
<<<<<<< HEAD
|
| 1554 |
name = "safehttpx"
|
| 1555 |
version = "0.1.7"
|
| 1556 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1591,7 +1590,8 @@ wheels = [
|
|
| 1591 |
|
| 1592 |
[[package]]
|
| 1593 |
=======
|
| 1594 |
-
>>>>>>>
|
|
|
|
| 1595 |
name = "sniffio"
|
| 1596 |
version = "1.3.1"
|
| 1597 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1601,7 +1601,6 @@ wheels = [
|
|
| 1601 |
]
|
| 1602 |
|
| 1603 |
[[package]]
|
| 1604 |
-
<<<<<<< HEAD
|
| 1605 |
name = "starlette"
|
| 1606 |
version = "1.0.0"
|
| 1607 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1616,7 +1615,8 @@ wheels = [
|
|
| 1616 |
|
| 1617 |
[[package]]
|
| 1618 |
=======
|
| 1619 |
-
>>>>>>>
|
|
|
|
| 1620 |
name = "tenacity"
|
| 1621 |
version = "9.1.4"
|
| 1622 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1626,7 +1626,6 @@ wheels = [
|
|
| 1626 |
]
|
| 1627 |
|
| 1628 |
[[package]]
|
| 1629 |
-
<<<<<<< HEAD
|
| 1630 |
name = "tomlkit"
|
| 1631 |
version = "0.14.0"
|
| 1632 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1637,7 +1636,8 @@ wheels = [
|
|
| 1637 |
|
| 1638 |
[[package]]
|
| 1639 |
=======
|
| 1640 |
-
>>>>>>>
|
|
|
|
| 1641 |
name = "tqdm"
|
| 1642 |
version = "4.67.3"
|
| 1643 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1650,7 +1650,6 @@ wheels = [
|
|
| 1650 |
]
|
| 1651 |
|
| 1652 |
[[package]]
|
| 1653 |
-
<<<<<<< HEAD
|
| 1654 |
name = "typer"
|
| 1655 |
version = "0.25.1"
|
| 1656 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1667,7 +1666,8 @@ wheels = [
|
|
| 1667 |
|
| 1668 |
[[package]]
|
| 1669 |
=======
|
| 1670 |
-
>>>>>>>
|
|
|
|
| 1671 |
name = "typing-extensions"
|
| 1672 |
version = "4.15.0"
|
| 1673 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1689,7 +1689,6 @@ wheels = [
|
|
| 1689 |
]
|
| 1690 |
|
| 1691 |
[[package]]
|
| 1692 |
-
<<<<<<< HEAD
|
| 1693 |
name = "tzdata"
|
| 1694 |
version = "2026.2"
|
| 1695 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1700,7 +1699,8 @@ wheels = [
|
|
| 1700 |
|
| 1701 |
[[package]]
|
| 1702 |
=======
|
| 1703 |
-
>>>>>>>
|
|
|
|
| 1704 |
name = "urllib3"
|
| 1705 |
version = "2.7.0"
|
| 1706 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1810,7 +1810,6 @@ wheels = [
|
|
| 1810 |
]
|
| 1811 |
|
| 1812 |
[[package]]
|
| 1813 |
-
<<<<<<< HEAD
|
| 1814 |
name = "uvicorn"
|
| 1815 |
version = "0.47.0"
|
| 1816 |
source = { registry = "https://pypi.org/simple" }
|
|
@@ -1825,7 +1824,8 @@ wheels = [
|
|
| 1825 |
|
| 1826 |
[[package]]
|
| 1827 |
=======
|
| 1828 |
-
>>>>>>>
|
|
|
|
| 1829 |
name = "xxhash"
|
| 1830 |
version = "3.7.0"
|
| 1831 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1 |
version = 1
|
| 2 |
revision = 3
|
| 3 |
requires-python = ">=3.11"
|
|
|
|
| 4 |
resolution-markers = [
|
| 5 |
"python_full_version >= '3.14' and sys_platform == 'win32'",
|
| 6 |
"python_full_version >= '3.14' and sys_platform == 'emscripten'",
|
|
|
|
| 22 |
{ url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303, upload-time = "2025-11-10T22:07:40.673Z" },
|
| 23 |
]
|
| 24 |
=======
|
| 25 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 26 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 27 |
|
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[[package]]
|
| 29 |
name = "annotated-types"
|
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| 67 |
]
|
| 68 |
|
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[[package]]
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| 70 |
name = "audioop-lts"
|
| 71 |
version = "0.2.2"
|
| 72 |
source = { registry = "https://pypi.org/simple" }
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[[package]]
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=======
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| 127 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
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+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
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name = "beacon"
|
| 130 |
version = "0.1.0"
|
| 131 |
source = { virtual = "." }
|
| 132 |
dependencies = [
|
| 133 |
{ name = "anthropic" },
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{ name = "gradio" },
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=======
|
| 136 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
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+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
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{ name = "langgraph" },
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{ name = "openai" },
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{ name = "python-dotenv" },
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[package.metadata]
|
| 145 |
requires-dist = [
|
| 146 |
{ name = "anthropic", specifier = ">=0.50.0" },
|
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{ name = "gradio", specifier = ">=4.0.0" },
|
| 148 |
=======
|
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+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 150 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
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{ name = "langgraph", specifier = ">=1.2.0" },
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{ name = "openai", specifier = ">=1.0.0" },
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{ name = "python-dotenv", specifier = ">=1.2.2" },
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]
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[[package]]
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name = "brotli"
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version = "1.2.0"
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source = { registry = "https://pypi.org/simple" }
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[[package]]
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=======
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+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
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>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
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name = "certifi"
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version = "2026.4.22"
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source = { registry = "https://pypi.org/simple" }
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]
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[[package]]
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name = "click"
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version = "8.3.3"
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source = { registry = "https://pypi.org/simple" }
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[[package]]
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=======
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+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
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>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
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name = "colorama"
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version = "0.4.6"
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source = { registry = "https://pypi.org/simple" }
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]
|
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[[package]]
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name = "fastapi"
|
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version = "0.136.1"
|
| 351 |
source = { registry = "https://pypi.org/simple" }
|
|
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|
| 445 |
|
| 446 |
[[package]]
|
| 447 |
=======
|
| 448 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 449 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 450 |
name = "h11"
|
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version = "0.16.0"
|
| 452 |
source = { registry = "https://pypi.org/simple" }
|
|
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|
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]
|
| 457 |
|
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[[package]]
|
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|
| 459 |
name = "hf-gradio"
|
| 460 |
version = "0.4.1"
|
| 461 |
source = { registry = "https://pypi.org/simple" }
|
|
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|
| 502 |
|
| 503 |
[[package]]
|
| 504 |
=======
|
| 505 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 506 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 507 |
name = "httpcore"
|
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version = "1.0.9"
|
| 509 |
source = { registry = "https://pypi.org/simple" }
|
|
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|
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]
|
| 533 |
|
| 534 |
[[package]]
|
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|
| 535 |
name = "huggingface-hub"
|
| 536 |
version = "1.14.0"
|
| 537 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 553 |
|
| 554 |
[[package]]
|
| 555 |
=======
|
| 556 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 557 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 558 |
name = "idna"
|
| 559 |
version = "3.14"
|
| 560 |
source = { registry = "https://pypi.org/simple" }
|
|
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|
| 564 |
]
|
| 565 |
|
| 566 |
[[package]]
|
|
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|
| 567 |
name = "jinja2"
|
| 568 |
version = "3.1.6"
|
| 569 |
source = { registry = "https://pypi.org/simple" }
|
|
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|
| 577 |
|
| 578 |
[[package]]
|
| 579 |
=======
|
| 580 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 581 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 582 |
name = "jiter"
|
| 583 |
version = "0.14.0"
|
| 584 |
source = { registry = "https://pypi.org/simple" }
|
|
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|
| 810 |
]
|
| 811 |
|
| 812 |
[[package]]
|
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|
| 813 |
name = "markupsafe"
|
| 814 |
version = "3.0.3"
|
| 815 |
source = { registry = "https://pypi.org/simple" }
|
|
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|
| 885 |
|
| 886 |
[[package]]
|
| 887 |
=======
|
| 888 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 889 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 890 |
name = "mdurl"
|
| 891 |
version = "0.1.2"
|
| 892 |
source = { registry = "https://pypi.org/simple" }
|
|
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| 896 |
]
|
| 897 |
|
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[[package]]
|
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| 899 |
name = "numpy"
|
| 900 |
version = "2.4.4"
|
| 901 |
source = { registry = "https://pypi.org/simple" }
|
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|
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|
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[[package]]
|
| 978 |
=======
|
| 979 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 980 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 981 |
name = "openai"
|
| 982 |
version = "2.36.0"
|
| 983 |
source = { registry = "https://pypi.org/simple" }
|
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|
| 1122 |
]
|
| 1123 |
|
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[[package]]
|
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| 1125 |
name = "pandas"
|
| 1126 |
version = "3.0.3"
|
| 1127 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1270 |
|
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[[package]]
|
| 1272 |
=======
|
| 1273 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 1274 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 1275 |
name = "pydantic"
|
| 1276 |
version = "2.13.4"
|
| 1277 |
source = { registry = "https://pypi.org/simple" }
|
|
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|
| 1389 |
]
|
| 1390 |
|
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[[package]]
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| 1392 |
name = "pydub"
|
| 1393 |
version = "0.25.1"
|
| 1394 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1399 |
|
| 1400 |
[[package]]
|
| 1401 |
=======
|
| 1402 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 1403 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 1404 |
name = "pygments"
|
| 1405 |
version = "2.20.0"
|
| 1406 |
source = { registry = "https://pypi.org/simple" }
|
|
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|
| 1410 |
]
|
| 1411 |
|
| 1412 |
[[package]]
|
|
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|
| 1413 |
name = "python-dateutil"
|
| 1414 |
version = "2.9.0.post0"
|
| 1415 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1423 |
|
| 1424 |
[[package]]
|
| 1425 |
=======
|
| 1426 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 1427 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 1428 |
name = "python-dotenv"
|
| 1429 |
version = "1.2.2"
|
| 1430 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1434 |
]
|
| 1435 |
|
| 1436 |
[[package]]
|
|
|
|
| 1437 |
name = "python-multipart"
|
| 1438 |
version = "0.0.28"
|
| 1439 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1453 |
|
| 1454 |
[[package]]
|
| 1455 |
=======
|
| 1456 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 1457 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 1458 |
name = "pyyaml"
|
| 1459 |
version = "6.0.3"
|
| 1460 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1550 |
]
|
| 1551 |
|
| 1552 |
[[package]]
|
|
|
|
| 1553 |
name = "safehttpx"
|
| 1554 |
version = "0.1.7"
|
| 1555 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1590 |
|
| 1591 |
[[package]]
|
| 1592 |
=======
|
| 1593 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 1594 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 1595 |
name = "sniffio"
|
| 1596 |
version = "1.3.1"
|
| 1597 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1601 |
]
|
| 1602 |
|
| 1603 |
[[package]]
|
|
|
|
| 1604 |
name = "starlette"
|
| 1605 |
version = "1.0.0"
|
| 1606 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1615 |
|
| 1616 |
[[package]]
|
| 1617 |
=======
|
| 1618 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 1619 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 1620 |
name = "tenacity"
|
| 1621 |
version = "9.1.4"
|
| 1622 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1626 |
]
|
| 1627 |
|
| 1628 |
[[package]]
|
|
|
|
| 1629 |
name = "tomlkit"
|
| 1630 |
version = "0.14.0"
|
| 1631 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1636 |
|
| 1637 |
[[package]]
|
| 1638 |
=======
|
| 1639 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 1640 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 1641 |
name = "tqdm"
|
| 1642 |
version = "4.67.3"
|
| 1643 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1650 |
]
|
| 1651 |
|
| 1652 |
[[package]]
|
|
|
|
| 1653 |
name = "typer"
|
| 1654 |
version = "0.25.1"
|
| 1655 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1666 |
|
| 1667 |
[[package]]
|
| 1668 |
=======
|
| 1669 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 1670 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 1671 |
name = "typing-extensions"
|
| 1672 |
version = "4.15.0"
|
| 1673 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1689 |
]
|
| 1690 |
|
| 1691 |
[[package]]
|
|
|
|
| 1692 |
name = "tzdata"
|
| 1693 |
version = "2026.2"
|
| 1694 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1699 |
|
| 1700 |
[[package]]
|
| 1701 |
=======
|
| 1702 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 1703 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 1704 |
name = "urllib3"
|
| 1705 |
version = "2.7.0"
|
| 1706 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1810 |
]
|
| 1811 |
|
| 1812 |
[[package]]
|
|
|
|
| 1813 |
name = "uvicorn"
|
| 1814 |
version = "0.47.0"
|
| 1815 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
| 1824 |
|
| 1825 |
[[package]]
|
| 1826 |
=======
|
| 1827 |
+
>>>>>>> f8d77e4 (Initial release: Beacon rare disease clinical trial finder)
|
| 1828 |
+
>>>>>>> 96a8855 (Initial release: Beacon rare disease clinical trial finder)
|
| 1829 |
name = "xxhash"
|
| 1830 |
version = "3.7.0"
|
| 1831 |
source = { registry = "https://pypi.org/simple" }
|