Troubleshooting

# ✅ Correct: Init first
connector = ArcbeamLangConnector(...)
connector.init()

model = ChatOpenAI(...)  # Now LangChain operations are traced

# ❌ Wrong: Init after
model = ChatOpenAI(...)

connector = ArcbeamLangConnector(...)
connector.init()  # Too late! Model already created

import os

# Check the key is set
api_key = os.environ.get("ARCBEAM_API_KEY")
print(f"Using API key: {api_key[:10]}..." if api_key else "No API key set!")

import requests

try:
    response = requests.get("http://platform.arcbeam.ai/health")  # Or your base URL
    print(f"Arcbeam reachable: {response.status_code}")
except Exception as e:
    print(f"Cannot reach Arcbeam: {e}")

# Run your app and look for Arcbeam-related errors
python your_app.py 2>&1 | grep -i arcbeam

# Verify your API key format
api_key = os.environ.get("ARCBEAM_API_KEY")
if not api_key:
    print("❌ ARCBEAM_API_KEY not set!")
elif not api_key.startswith("sk-"):
    print("❌ API key should start with 'sk-'")
else:
    print(f"✅ API key looks good: {api_key[:10]}...")

# For SaaS
base_url = "http://platform.arcbeam.ai"

# For self-hosted
base_url = "https://your-domain.com"

# For local development
base_url = "http://localhost:5173"

# ✅ Correct order
from arcbeam_connector.langchain.connector import ArcbeamLangConnector
from langchain_openai import ChatOpenAI

# 1. Initialize connector first
connector = ArcbeamLangConnector(
    base_url="http://platform.arcbeam.ai",
    api_key="your-api-key-here",
)
connector.init()

# 2. Then create LangChain components
model = ChatOpenAI(model="gpt-4o-mini")

import os

# Debug environment variables
print("Environment variables:")
print(f"  ARCBEAM_API_KEY: {'✅ Set' if os.environ.get('ARCBEAM_API_KEY') else '❌ Not set'}")
print(f"  ARCBEAM_ENVIRONMENT: {os.environ.get('ARCBEAM_ENVIRONMENT', '❌ Not set')}")
print(f"  OPENAI_API_KEY: {'✅ Set' if os.environ.get('OPENAI_API_KEY') else '❌ Not set'}")

# Make sure to export variables
export ARCBEAM_API_KEY=your-key-here  # ✅ export keyword
ARCBEAM_API_KEY=your-key-here  # ❌ missing export

# Load from .env file
pip install python-dotenv

from dotenv import load_dotenv
load_dotenv()  # Load variables from .env file

# .env file
ARCBEAM_API_KEY=sk-your-api-key-here
ARCBEAM_ENVIRONMENT=dev
OPENAI_API_KEY=your-openai-key

from dotenv import load_dotenv
import os

load_dotenv()  # Must call this first!

api_key = os.environ.get("ARCBEAM_API_KEY")

# Verify the project ID is a valid UUID
import uuid

project_id = "f60a7195-665f-4014-8bb3-805ae4337aa9"
try:
    uuid.UUID(project_id)
    print("✅ Valid UUID")
except ValueError:
    print("❌ Invalid UUID format")

pip show langchain langchain-openai langgraph

pip install --upgrade langchain langchain-openai
pip install --upgrade langgraph  # If using LangGraph

pip install arcbeam-connector

pip install langchain langchain-openai

# Use localhost for local development
connector = ArcbeamLangConnector(
    base_url="http://localhost:5173",  # Not https for local
    api_key="your-api-key-here",
)

import os

# Disable SSL verification for development (not recommended for production!)
os.environ["CURL_CA_BUNDLE"] = ""