Claude/incomplete request 014 p ujza sy fvq c55 v br vpr9 e

test_langsmith.py

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+from langchain_openai import ChatOpenAI
+import os
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Debug print to confirm the key is being loaded
+print("OPENAI KEY LOADED:", os.getenv("OPENAI_API_KEY")[:10], "...")
+
+# Initialize the OpenAI LLM
+llm = ChatOpenAI()
+
+# Send a basic test message
+response = llm.invoke("Hello, world!")
+
+# Output the response
+print("LLM RESPONSE:", response)

voicedform_graph.py

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+from dotenv import load_dotenv
+import os
+from langchain_openai import ChatOpenAI
+from langgraph.graph import StateGraph, END
+from langchain_core.runnables import RunnableLambda
+
+# ✅ Load environment
+load_dotenv()
+
+# ✅ DEBUG print to confirm key is loaded
+print("OPENAI_KEY LOADED:", os.getenv("OPENAI_API_KEY")[:10], "...")
+print("LangSmith project:", os.getenv("LANGSMITH_PROJECT"))
+
+# ✅ Reusable LLM
+llm = ChatOpenAI(model="gpt-4", temperature=0)
+
+# 🧠 Node: Supervisor (decides flow, stubbed for now)
+def supervisor_node(state: dict) -> dict:
+    print("🧭 Supervisor: Deciding flow...")
+    return {"form_type": "accident_report"}
+
+# 🧠 Node: Form Selector (uses LLM to describe form)
+def form_selector_node(state: dict) -> dict:
+    form_type = state.get("form_type", "unknown")
+    print(f"📄 Form Selector: Received form type → {form_type}")
+    message = f"You are helping complete a form of type: {form_type}. What's the first field?"
+    response = llm.invoke(message)
+    return {"form_type": form_type, "first_field": response.content}
+
+# 🧠 Node: Form Completion (mock interaction)
+def form_completion_node(state: dict) -> dict:
+    print(f"✍️ Form Completion: Starting with → {state.get('first_field')}")
+    response = llm.invoke("Let's pretend to fill out this form together.")
+    return {"form_complete": response.content}
+
+# 🧠 Node: Validator (trivial check for now)
+def validator_node(state: dict) -> dict:
+    print("✅ Validator: Verifying...")
+    is_valid = "form_complete" in state
+    return {"valid": is_valid}
+
+# ✅ Build the LangGraph DAG
+from typing import TypedDict, Optional
+
+class GraphState(TypedDict, total=False):
+    input: Optional[str]
+    form_type: Optional[str]
+    first_field: Optional[str]
+    form_complete: Optional[str]
+    valid: Optional[bool]
+
+graph = StateGraph(GraphState)
+
+
+graph.add_node("supervisor", RunnableLambda(supervisor_node))
+graph.add_node("form_selector", RunnableLambda(form_selector_node))
+graph.add_node("form_completion", RunnableLambda(form_completion_node))
+graph.add_node("validator", RunnableLambda(validator_node))
+
+# ⛓️ Wire nodes together
+graph.set_entry_point("supervisor")
+graph.add_edge("supervisor", "form_selector")
+graph.add_edge("form_selector", "form_completion")
+graph.add_edge("form_completion", "validator")
+graph.add_edge("validator", END)
+
+# ✅ Compile and Run
+dag = graph.compile()
+
+# 🧪 Invoke with empty state
+print("\n🧪 Running VoicedForm DAG...\n")
+output = dag.invoke({})
+print("\n🎉 Final output:", output)

web/.env.example

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+# Supabase
+NEXT_PUBLIC_SUPABASE_URL=
+NEXT_PUBLIC_SUPABASE_ANON_KEY=
+SUPABASE_SERVICE_ROLE_KEY=
+
+# NextAuth
+NEXTAUTH_URL=http://localhost:3000
+NEXTAUTH_SECRET=
+
+# Google OAuth
+GOOGLE_CLIENT_ID=
+GOOGLE_CLIENT_SECRET=
+
+# OpenAI
+OPENAI_API_KEY=
+
+# Whisper Service
+WHISPER_WS_URL=ws://localhost:8765
+
+# Gmail API
+GMAIL_CLIENT_ID=
+GMAIL_CLIENT_SECRET=

web/.gitignore

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+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/node_modules
+/.pnp
+.pnp.*
+.yarn/*
+!.yarn/patches
+!.yarn/plugins
+!.yarn/releases
+!.yarn/versions
+
+# testing
+/coverage
+
+# next.js
+/.next/
+/out/
+
+# production
+/build
+
+# misc
+.DS_Store
+*.pem
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+.pnpm-debug.log*
+
+# env files (can opt-in for committing if needed)
+.env*
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+next-env.d.ts

web/.prettierrc

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+{
+  "semi": false,
+  "singleQuote": true,
+  "tabWidth": 2,
+  "trailingComma": "es5",
+  "printWidth": 80,
+  "arrowParens": "always"
+}