Initial release: Beacon rare disease clinical trial finder

Conversational AI assistant that interviews patients, geocodes their location,
and searches ClinicalTrials.gov in real time to surface nearby recruiting trials.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

README.md

@@ -1,3 +1,4 @@
+<<<<<<< HEAD
 ---
 title: Beacon Trial Finder
 emoji: 📚
@@ -12,12 +13,15 @@ license: mit
 short_description: help patients with rare disease to find clinical trials
 ---
 
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 # Beacon — Rare Disease Clinical Trial Finder
 
 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.
 
 ## How it works
 
+<<<<<<< HEAD
 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).
 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.
 3. **LangGraph** orchestrates the two-node pipeline (intake → research).
@@ -36,6 +40,12 @@ Beacon is a conversational AI assistant that helps patients with rare diseases f
 
 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.
 
+=======
+1. **Intake agent** (Claude Sonnet) — interviews the patient conversationally to collect disease, age, symptom onset, location, and optional benchmark scores.
+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.
+3. **LangGraph** orchestrates the two-node pipeline (intake → research).
+
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 ## Project setup
 
 ### Prerequisites
@@ -73,6 +83,7 @@ cp .env.example .env
 Open `.env` and replace the placeholder values:
 
 ```env
+<<<<<<< HEAD
 ANTHROPIC_API_KEY=your_anthropic_api_key_here
 ```
 
@@ -97,11 +108,43 @@ uv run gradio app.py
 | Environment variable | Default     | Description       |
 |----------------------|-------------|-------------------|
 | `ANTHROPIC_API_KEY`  | *(required)*| Anthropic API key |
+=======
+# ⚠️  Replace with your actual API keys — never commit real keys to version control
+OPENAI_API_KEY=your_openai_api_key_here
+ANTHROPIC_API_KEY=your_anthropic_api_key_here
+```
+
+- Get your Anthropic key at <https://console.anthropic.com>
+- Get your OpenAI key at <https://platform.openai.com/api-keys>
+
+### 4. Run
+
+```bash
+uv run python main.py
+```
+
+Or if using a plain virtualenv:
+
+```bash
+python main.py
+```
+
+## Configuration
+
+| Environment variable | Default     | Description                                      |
+|----------------------|-------------|--------------------------------------------------|
+| `ANTHROPIC_API_KEY`  | *(required)*| Anthropic API key                                |
+| `OPENAI_API_KEY`     | *(optional)*| OpenAI API key (only needed for OpenAI provider) |
+| `LLM_PROVIDER`       | `anthropic` | LLM backend: `anthropic` or `openai`             |
+
+To switch to the OpenAI backend, set `LLM_PROVIDER=openai` in `.env`.
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 
 ## Project structure
 
 ```
 beacon/
+<<<<<<< HEAD
 ├── app.py                   # Gradio web UI entry point
 ├── main.py                  # Terminal entry point
 ├── clinical_trials_guru.py  # Intake + research agents, LangGraph pipeline
@@ -110,3 +153,23 @@ beacon/
 ├── pyproject.toml
 └── .env                     # Local secrets — not committed
 ```
+=======
+├── main.py                  # Entry point
+├── clinical_trials_guru.py  # Intake + research agents, LangGraph pipeline
+├── llm.py                   # LLM provider abstraction (Anthropic / OpenAI)
+├── pyproject.toml
+├── .env                     # Local secrets — not committed
+└── .gitignore
+```
+
+## Dependencies
+
+| Package          | Purpose                              |
+|------------------|--------------------------------------|
+| `anthropic`      | Claude API client                    |
+| `openai`         | OpenAI API client                    |
+| `langgraph`      | Agent pipeline orchestration         |
+| `rich`           | Terminal UI (panels, markdown, etc.) |
+| `python-dotenv`  | `.env` file loading                  |
+| `httpx`          | HTTP client for ClinicalTrials.gov   |
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)

clinical_trials_guru.py

@@ -41,10 +41,13 @@ SUBMIT_PROFILE_TOOL: anthropic.types.ToolParam = {
                 "type": "integer",
                 "description": "Months since first symptom onset",
             },
+<<<<<<< HEAD
             "diagnosis_months": {
                 "type": "integer",
                 "description": "Months since formal/official diagnosis",
             },
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
             "benchmarks": {
                 "type": "object",
                 "description": "Disease-specific scores, e.g. {\"ALSFRS-R\": \"38\"}",
@@ -62,6 +65,7 @@ SUBMIT_PROFILE_TOOL: anthropic.types.ToolParam = {
             "phases": {
                 "type": "array",
                 "items": {"type": "string", "enum": ["0", "1", "2", "3", "4"]},
+<<<<<<< HEAD
                 "description": "Desired trial phases (0=Early Phase 1, 1=Phase 1, 2=Phase 2, 3=Phase 3, 4=Phase 4). Empty = all phases.",
             },
             "include_eap": {
@@ -70,17 +74,30 @@ SUBMIT_PROFILE_TOOL: anthropic.types.ToolParam = {
             },
         },
         "required": ["disease", "age", "onset_months", "diagnosis_months", "zip_code"],
+=======
+                "description": "Desired trial phases. Empty = all phases.",
+            },
+        },
+        "required": ["disease", "age", "onset_months", "zip_code"],
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
     },
 }
 
 SEARCH_TRIALS_TOOL: anthropic.types.ToolParam = {
     "name": "search_clinical_trials",
     "description": (
+<<<<<<< HEAD
         "Search ClinicalTrials.gov for studies within a geographic radius. "
         "Results are pre-ranked by distance from the patient's location. "
         "Call multiple times with different parameters (synonyms, broader radius, "
         "different phases) if initial results are sparse. "
         "Use study_type='EXPANDED_ACCESS' to search for Expanded Access Programs (EAP / compassionate use)."
+=======
+        "Search ClinicalTrials.gov for recruiting trials within a geographic radius. "
+        "Results are pre-ranked by distance from the patient's location. "
+        "Call multiple times with different parameters (synonyms, broader radius, "
+        "different phases) if initial results are sparse."
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
     ),
     "input_schema": {
         "type": "object",
@@ -95,12 +112,16 @@ SEARCH_TRIALS_TOOL: anthropic.types.ToolParam = {
             "phases": {
                 "type": "array",
                 "items": {"type": "string"},
+<<<<<<< HEAD
                 "description": "Phase numbers to filter ['1','2','3']. Empty = all. Ignored for EAP.",
             },
             "study_type": {
                 "type": "string",
                 "enum": ["INTERVENTIONAL", "EXPANDED_ACCESS"],
                 "description": "INTERVENTIONAL (default) for clinical trials; EXPANDED_ACCESS for EAP/compassionate use.",
+=======
+                "description": "Phase numbers to filter ['1','2','3']. Empty = all.",
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
             },
             "max_results": {"type": "integer", "description": "Max trials to return (default 20)"},
         },
@@ -118,11 +139,15 @@ REQUIRED:
   • Disease/condition (standardize: "Lou Gehrig's" → "Amyotrophic Lateral Sclerosis")
   • Patient age
   • Months since first symptom onset (convert dates/years as needed)
+<<<<<<< HEAD
   • Months since formal/official diagnosis (convert dates/years as needed; may differ from onset)
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
   • ZIP/postal code and country for geographic search
 
 OPTIONAL (ask based on disease):
   • Disease-specific benchmark scores:
+<<<<<<< HEAD
       ALS → ALSFRS-R (0-48) + FVC % predicted (0-100%) + ALS subtype;
               FVC (Forced Vital Capacity) measures how much air a person can forcibly exhale —
               it reflects respiratory muscle strength. In ALS it is expressed as a percentage
@@ -160,6 +185,15 @@ OPTIONAL (ask based on disease):
       - Or both; or all phases (default if no preference)
 
 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.\
+=======
+      ALS → ALSFRS-R (0-48); MS → EDSS (0-10); Parkinson's → MDS-UPDRS III;
+      Huntington's → TFC (0-13) + CAG repeats; SMA → HFMS + SMA type;
+      Duchenne/Pompe → 6-Minute Walk Test; Friedreich's → SARA score
+  • Preferred search radius in miles (default 100)
+  • Trial phases of interest (1 / 2 / 3 / 4 / early)
+
+Ask naturally. Infer what you can. Once you have the required fields, call submit_profile.\
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 """
 
 RESEARCH_SYSTEM = """\
@@ -169,6 +203,7 @@ Results are already ranked by geographic distance from the patient.
 
 Workflow:
 1. Search for the patient's disease. Use both the full medical name and common abbreviation.
+<<<<<<< HEAD
    - If the patient wants clinical trials, search with study_type="INTERVENTIONAL".
    - If the patient wants Expanded Access Programs (EAP), also search with study_type="EXPANDED_ACCESS".
    - If the patient wants both, run separate searches for each study_type.
@@ -188,10 +223,25 @@ Workflow:
    **Qualification criteria:** [Key inclusion AND exclusion criteria relevant to this patient,
                                including age range, functional score thresholds, FVC cutoffs,
                                and any red flags. Be specific — use exact numbers from the data.]
+=======
+2. If fewer than 3 results are found, retry with: a wider radius, a disease synonym,
+   or fewer phase filters.
+3. Produce a final report listing the top 5 trials ranked by site proximity.
+   For EACH trial use exactly this format (repeat the block per trial):
+
+   📍 **[Closest hospital name]** — [City, State] ([X] mi)
+   **Trial:** [Full trial title] ([Phase])
+   **Sponsor:** [Lead sponsor]
+   **Summary:** [2–3 sentence plain-language description of what the trial is testing
+               and why it may matter for this patient]
+   **Eligibility notes:** [Key inclusion/exclusion criteria relevant to this patient,
+                         including any red flags]
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
    **Link:** https://clinicaltrials.gov/study/[NCT_ID]
 
    ---
 
+<<<<<<< HEAD
 4. After the results add a short "Next steps" section (bullet points).
    For EAP results, note that patients typically need a physician to submit the EAP request.
 
@@ -199,6 +249,9 @@ IMPORTANT: Only report trials returned by the search_clinical_trials tool. Do NO
 list, or recommend any hospitals, centers, or trials that were not in the tool results —
 even well-known institutions. If no results are found, say so clearly and suggest the patient
 ask their neurologist or contact the ALS Association for a referral.
+=======
+4. After the trial list add a short "Next steps" section (bullet points).
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 
 Be accurate. Do not fabricate details. If data is missing, say so.\
 """
@@ -210,7 +263,10 @@ class PatientProfile:
     disease: str
     age: int
     onset_months: int
+<<<<<<< HEAD
     diagnosis_months: int = 0
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
     benchmarks: dict[str, str] = field(default_factory=dict)
     zip_code: str = ""
     country_code: str = "US"
@@ -218,14 +274,20 @@ class PatientProfile:
     lon: float = 0.0
     radius_miles: int = 100
     phases: list[str] = field(default_factory=list)
+<<<<<<< HEAD
     include_eap: bool = False
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 
     def summary(self) -> str:
         lines = [
             f"Disease: {self.disease}",
             f"Age: {self.age}",
             f"Symptom onset: {self.onset_months} months ago",
+<<<<<<< HEAD
             f"Formal diagnosis: {self.diagnosis_months} months ago",
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
         ]
         if self.benchmarks:
             lines.append("Benchmarks: " + ", ".join(f"{k}={v}" for k, v in self.benchmarks.items()))
@@ -237,10 +299,13 @@ class PatientProfile:
         if self.phases:
             labels = ["Early Phase 1" if p == "0" else f"Phase {p}" for p in self.phases]
             lines.append(f"Phases: {', '.join(labels)}")
+<<<<<<< HEAD
         interests = ["Clinical trials"]
         if self.include_eap:
             interests.append("Expanded Access Programs (EAP)")
         lines.append(f"Study type interest: {', '.join(interests)}")
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
         return "\n".join(lines)
 
 
@@ -278,6 +343,7 @@ def search_trials_api(
     lon: float,
     radius_miles: int = 100,
     phases: list[str] | None = None,
+<<<<<<< HEAD
     study_type: str = "INTERVENTIONAL",
     max_results: int = 20,
 ) -> list[dict]:
@@ -285,10 +351,18 @@ def search_trials_api(
     params: dict[str, str | int] = {
         "query.cond": condition,
         "filter.overallStatus": "AVAILABLE" if is_eap else "RECRUITING",
+=======
+    max_results: int = 20,
+) -> list[dict]:
+    params: dict[str, str | int] = {
+        "query.cond": condition,
+        "filter.overallStatus": "RECRUITING",
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
         "filter.geo": f"distance({lat},{lon},{radius_miles}mi)",
         "pageSize": max_results,
         "format": "json",
     }
+<<<<<<< HEAD
     # aggFilters accepts only one value; studyType and phase can't be combined.
     # RECRUITING status already excludes EAPs, so studyType:int is only needed
     # when no phase filter is applied.
@@ -298,6 +372,10 @@ def search_trials_api(
         params["aggFilters"] = "phase:" + " ".join(phases)
     else:
         params["aggFilters"] = "studyType:int"
+=======
+    if phases:
+        params["aggFilters"] = "phase:" + " ".join(phases)
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
     for attempt in range(3):
         try:
             resp = httpx.get(CTGOV_BASE, params=params, timeout=30)
@@ -322,6 +400,7 @@ def _flatten_and_rank(studies: list[dict], patient_lat: float, patient_lon: floa
         sponsor_mod = proto.get("sponsorCollaboratorsModule", {})
         design_mod = proto.get("designModule", {})
 
+<<<<<<< HEAD
         # Central (overall) contacts
         central_contacts = contacts_mod.get("centralContacts", [])
         central_phone = next((c.get("phone", "") for c in central_contacts if c.get("phone")), "")
@@ -335,10 +414,14 @@ def _flatten_and_rank(studies: list[dict], patient_lat: float, patient_lon: floa
         )
 
         sites_with_dist: list[tuple[float, dict]] = []
+=======
+        sites_with_dist: list[tuple[float, str]] = []
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
         for loc in contacts_mod.get("locations", []):
             geo = loc.get("geoPoint", {})
             if geo.get("lat") and geo.get("lon"):
                 d = haversine_miles(patient_lat, patient_lon, geo["lat"], geo["lon"])
+<<<<<<< HEAD
                 loc_contacts = loc.get("contacts", [])
                 loc_phone = next((c.get("phone", "") for c in loc_contacts if c.get("phone")), "")
                 loc_email = next((c.get("email", "") for c in loc_contacts if c.get("email")), "")
@@ -356,6 +439,15 @@ def _flatten_and_rank(studies: list[dict], patient_lat: float, patient_lon: floa
                     "phone": loc_phone or central_phone,
                     "email": loc_email or central_email,
                 }))
+=======
+                label = (
+                    f"{loc.get('facility', '').strip()} — "
+                    f"{loc.get('city', '')}, "
+                    f"{loc.get('state', loc.get('country', ''))} "
+                    f"({d:.0f} mi)"
+                )
+                sites_with_dist.append((d, label))
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
         sites_with_dist.sort(key=lambda x: x[0])
 
         closest_dist = sites_with_dist[0][0] if sites_with_dist else None
@@ -364,15 +456,22 @@ def _flatten_and_rank(studies: list[dict], patient_lat: float, patient_lon: floa
             "title": id_mod.get("briefTitle", ""),
             "phase": ", ".join(design_mod.get("phases", [])) or "N/A",
             "sponsor": sponsor_mod.get("leadSponsor", {}).get("name", ""),
+<<<<<<< HEAD
             "principal_investigator": pi,
             "contact_phone": central_phone,
             "contact_email": central_email,
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
             "summary": desc_mod.get("briefSummary", "")[:500],
             "eligibility": elig_mod.get("eligibilityCriteria", "")[:1000],
             "min_age": elig_mod.get("minimumAge", ""),
             "max_age": elig_mod.get("maximumAge", ""),
             "closest_site_miles": round(closest_dist, 1) if closest_dist is not None else None,
+<<<<<<< HEAD
             "nearest_sites": [info for _, info in sites_with_dist[:5]],
+=======
+            "nearest_sites": [label for _, label in sites_with_dist[:5]],
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
         })
 
     result.sort(key=lambda x: x["closest_site_miles"] if x["closest_site_miles"] is not None else float("inf"))
@@ -425,7 +524,10 @@ def run_intake_agent(client: anthropic.Anthropic) -> PatientProfile:
                 disease=data["disease"],
                 age=data["age"],
                 onset_months=data["onset_months"],
+<<<<<<< HEAD
                 diagnosis_months=data.get("diagnosis_months", 0),
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
                 benchmarks=data.get("benchmarks") or {},
                 zip_code=data["zip_code"],
                 country_code=data.get("country_code", "US"),
@@ -433,7 +535,10 @@ def run_intake_agent(client: anthropic.Anthropic) -> PatientProfile:
                 lon=lon,
                 radius_miles=data.get("radius_miles", 100),
                 phases=data.get("phases") or [],
+<<<<<<< HEAD
                 include_eap=data.get("include_eap", False),
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
             )
 
         messages.append({"role": "assistant", "content": response.content})
@@ -478,11 +583,17 @@ def run_research_agent(client: anthropic.Anthropic, profile: PatientProfile) ->
             args = block.input
             radius = args.get("radius_miles", profile.radius_miles)
             phases = args.get("phases") or None
+<<<<<<< HEAD
             study_type = args.get("study_type", "INTERVENTIONAL")
             status_msg = (
                 f"[cyan]Searching:[/cyan] '[bold]{args['condition']}[/bold]' | "
                 f"radius=[bold]{radius}[/bold] mi | "
                 f"type=[bold]{study_type}[/bold] | "
+=======
+            status_msg = (
+                f"[cyan]Searching:[/cyan] '[bold]{args['condition']}[/bold]' | "
+                f"radius=[bold]{radius}[/bold] mi | "
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
                 f"phases=[bold]{phases or 'all'}[/bold]"
             )
             try:
@@ -493,7 +604,10 @@ def run_research_agent(client: anthropic.Anthropic, profile: PatientProfile) ->
                         lon=args["lon"],
                         radius_miles=radius,
                         phases=phases,
+<<<<<<< HEAD
                         study_type=study_type,
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
                         max_results=args.get("max_results", 20),
                     )
                     ranked = _flatten_and_rank(studies, profile.lat, profile.lon)

pyproject.toml

@@ -10,5 +10,8 @@ dependencies = [
     "openai>=1.0.0",
     "python-dotenv>=1.2.2",
     "rich>=13.0.0",
+<<<<<<< HEAD
     "gradio>=4.0.0",
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 ]

uv.lock

@@ -1,6 +1,7 @@
 version = 1
 revision = 3
 requires-python = ">=3.11"
+<<<<<<< HEAD
 resolution-markers = [
     "python_full_version >= '3.14' and sys_platform == 'win32'",
     "python_full_version >= '3.14' and sys_platform == 'emscripten'",
@@ -21,6 +22,8 @@ sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea2734456098
 wheels = [
     { 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" },
 ]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 
 [[package]]
 name = "annotated-types"
@@ -64,6 +67,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "audioop-lts"
 version = "0.2.2"
 source = { registry = "https://pypi.org/simple" }
@@ -120,12 +124,17 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "beacon"
 version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
     { name = "anthropic" },
+<<<<<<< HEAD
     { name = "gradio" },
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
     { name = "langgraph" },
     { name = "openai" },
     { name = "python-dotenv" },
@@ -135,7 +144,10 @@ dependencies = [
 [package.metadata]
 requires-dist = [
     { name = "anthropic", specifier = ">=0.50.0" },
+<<<<<<< HEAD
     { name = "gradio", specifier = ">=4.0.0" },
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
     { name = "langgraph", specifier = ">=1.2.0" },
     { name = "openai", specifier = ">=1.0.0" },
     { name = "python-dotenv", specifier = ">=1.2.2" },
@@ -143,6 +155,7 @@ requires-dist = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "brotli"
 version = "1.2.0"
 source = { registry = "https://pypi.org/simple" }
@@ -191,6 +204,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "certifi"
 version = "2026.4.22"
 source = { registry = "https://pypi.org/simple" }
@@ -289,6 +304,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "click"
 version = "8.3.3"
 source = { registry = "https://pypi.org/simple" }
@@ -301,6 +317,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "colorama"
 version = "0.4.6"
 source = { registry = "https://pypi.org/simple" }
@@ -328,6 +346,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "fastapi"
 version = "0.136.1"
 source = { registry = "https://pypi.org/simple" }
@@ -426,6 +445,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "h11"
 version = "0.16.0"
 source = { registry = "https://pypi.org/simple" }
@@ -435,6 +456,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "hf-gradio"
 version = "0.4.1"
 source = { registry = "https://pypi.org/simple" }
@@ -480,6 +502,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "httpcore"
 version = "1.0.9"
 source = { registry = "https://pypi.org/simple" }
@@ -508,6 +532,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "huggingface-hub"
 version = "1.14.0"
 source = { registry = "https://pypi.org/simple" }
@@ -528,6 +553,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "idna"
 version = "3.14"
 source = { registry = "https://pypi.org/simple" }
@@ -537,6 +564,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "jinja2"
 version = "3.1.6"
 source = { registry = "https://pypi.org/simple" }
@@ -549,6 +577,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "jiter"
 version = "0.14.0"
 source = { registry = "https://pypi.org/simple" }
@@ -780,6 +810,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "markupsafe"
 version = "3.0.3"
 source = { registry = "https://pypi.org/simple" }
@@ -854,6 +885,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "mdurl"
 version = "0.1.2"
 source = { registry = "https://pypi.org/simple" }
@@ -863,6 +896,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "numpy"
 version = "2.4.4"
 source = { registry = "https://pypi.org/simple" }
@@ -942,6 +976,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "openai"
 version = "2.36.0"
 source = { registry = "https://pypi.org/simple" }
@@ -1086,6 +1122,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "pandas"
 version = "3.0.3"
 source = { registry = "https://pypi.org/simple" }
@@ -1233,6 +1270,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "pydantic"
 version = "2.13.4"
 source = { registry = "https://pypi.org/simple" }
@@ -1350,6 +1389,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "pydub"
 version = "0.25.1"
 source = { registry = "https://pypi.org/simple" }
@@ -1359,6 +1399,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "pygments"
 version = "2.20.0"
 source = { registry = "https://pypi.org/simple" }
@@ -1368,6 +1410,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "python-dateutil"
 version = "2.9.0.post0"
 source = { registry = "https://pypi.org/simple" }
@@ -1380,6 +1423,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "python-dotenv"
 version = "1.2.2"
 source = { registry = "https://pypi.org/simple" }
@@ -1389,6 +1434,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "python-multipart"
 version = "0.0.28"
 source = { registry = "https://pypi.org/simple" }
@@ -1407,6 +1453,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "pyyaml"
 version = "6.0.3"
 source = { registry = "https://pypi.org/simple" }
@@ -1502,6 +1550,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "safehttpx"
 version = "0.1.7"
 source = { registry = "https://pypi.org/simple" }
@@ -1541,6 +1590,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "sniffio"
 version = "1.3.1"
 source = { registry = "https://pypi.org/simple" }
@@ -1550,6 +1601,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "starlette"
 version = "1.0.0"
 source = { registry = "https://pypi.org/simple" }
@@ -1563,6 +1615,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "tenacity"
 version = "9.1.4"
 source = { registry = "https://pypi.org/simple" }
@@ -1572,6 +1626,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "tomlkit"
 version = "0.14.0"
 source = { registry = "https://pypi.org/simple" }
@@ -1581,6 +1636,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "tqdm"
 version = "4.67.3"
 source = { registry = "https://pypi.org/simple" }
@@ -1593,6 +1650,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "typer"
 version = "0.25.1"
 source = { registry = "https://pypi.org/simple" }
@@ -1608,6 +1666,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "typing-extensions"
 version = "4.15.0"
 source = { registry = "https://pypi.org/simple" }
@@ -1629,6 +1689,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "tzdata"
 version = "2026.2"
 source = { registry = "https://pypi.org/simple" }
@@ -1638,6 +1699,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "urllib3"
 version = "2.7.0"
 source = { registry = "https://pypi.org/simple" }
@@ -1747,6 +1810,7 @@ wheels = [
 ]
 
 [[package]]
+<<<<<<< HEAD
 name = "uvicorn"
 version = "0.47.0"
 source = { registry = "https://pypi.org/simple" }
@@ -1760,6 +1824,8 @@ wheels = [
 ]
 
 [[package]]
+=======
+>>>>>>> 6977736 (Initial release: Beacon rare disease clinical trial finder)
 name = "xxhash"
 version = "3.7.0"
 source = { registry = "https://pypi.org/simple" }