app.py

#!/usr/bin/env python3
"""
SmolAgents Authentication Fix
Resolves 401 "Invalid username or password" errors
"""

import os
from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, InferenceClientModel

# Method 1: Explicit token (most reliable)
def create_agent_with_token():
    """Create agent with explicit HF token - most reliable method"""
    # Replace with your actual HuggingFace token
    hf_token = "hf_xxxxxxxxxxxxxxxxxxxxxxxxxx"

    model = HfApiModel(
        model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
        token=hf_token
    )

    agent = CodeAgent(
        tools=[DuckDuckGoSearchTool()],
        model=model
    )
    return agent

# Method 2: Environment variable (recommended for production)
def create_agent_with_env_var():
    """Create agent using HF_TOKEN environment variable"""
    # Set environment variable first:
    # export HF_TOKEN="hf_xxxxxxxxxxxxxxxxxxxxxxxxxx"

    # Verify token is set
    if not os.getenv("HF_TOKEN"):
        raise ValueError("HF_TOKEN environment variable not set!")

    model = HfApiModel(
        model_id="Qwen/Qwen2.5-Coder-32B-Instruct"
        # token will be read from HF_TOKEN automatically
    )

    agent = CodeAgent(
        tools=[DuckDuckGoSearchTool()],
        model=model
    )
    return agent

# Method 3: InferenceClientModel (newest approach, 2025)
def create_agent_with_inference_client():
    """Create agent using newer InferenceClientModel - better error handling"""
    hf_token = "hf_xxxxxxxxxxxxxxxxxxxxxxxxxx"

    model = InferenceClientModel(
        model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
        token=hf_token
    )

    agent = CodeAgent(
        tools=[DuckDuckGoSearchTool()],
        model=model
    )
    return agent

# Method 4: Login first (alternative approach)
def create_agent_with_login():
    """Create agent after logging in to HuggingFace Hub"""
    from huggingface_hub import login

    # Login to HF (will prompt for token if not provided)
    login(token="hf_xxxxxxxxxxxxxxxxxxxxxxxxxx")

    # Now HfApiModel should work without explicit token
    model = HfApiModel(
        model_id="Qwen/Qwen2.5-Coder-32B-Instruct"
    )

    agent = CodeAgent(
        tools=[DuckDuckGoSearchTool()],
        model=model
    )
    return agent

def test_agent(agent):
    """Test the agent with a simple query"""
    try:
        result = agent.run("What is the current time?")
        print("✅ Success! Agent is working properly.")
        print(f"Result: {result}")
        return True
    except Exception as e:
        print(f"❌ Error: {e}")
        return False

if __name__ == "__main__":
    print("Testing SmolAgents authentication fixes...\n")

    # Try Method 1 first (most common solution)
    print("Method 1: Explicit token")
    try:
        agent = create_agent_with_token()
        if test_agent(agent):
            print("✅ Method 1 successful!\n")
        else:
            print("❌ Method 1 failed, trying next method...\n")
    except Exception as e:
        print(f"❌ Method 1 failed: {e}\n")

    # Try Method 3 (newest approach)
    print("Method 3: InferenceClientModel")
    try:
        agent = create_agent_with_inference_client()
        if test_agent(agent):
            print("✅ Method 3 successful!\n")
    except Exception as e:
        print(f"❌ Method 3 failed: {e}\n")

# Token Requirements Checklist:
"""
Your HuggingFace token must have these permissions:
✅ "Make calls to the serverless Inference API"
✅ "Read access to contents of all public gated repos" (for gated models)

To get your token:
1. Go to: https://huggingface.co/settings/tokens
2. Click "New token"
3. Select "Write" permissions
4. Copy the token (starts with hf_)

Common issues:
- Token is expired or revoked
- Token lacks proper permissions
- Model is gated and requires special access
- Network/firewall blocking HF API calls
"""