# Cursor Chat: ai-agent-book

## Metadata
- **Project**: ai-agent-book
- **Path**: `/Users/boj`
- **Date**: 2025-09-17 12:46:21
- **Session ID**: `267d6cde-a505-47cb-a25b-291f59fbd47e`

## Conversation

### 👤 You

Update the user memory agent, conversational agent and main.py to support multiple providers:


        # Configure client based on provider
        if self.provider == "siliconflow":
            self.client = OpenAI(
                api_key=api_key,
                base_url="https://api.siliconflow.cn/v1"
            )
            self.model = model or "Qwen/Qwen3-235B-A22B-Thinking-2507"
        elif self.provider == "doubao":
            self.client = OpenAI(
                api_key=api_key,
                base_url="https://ark.cn-beijing.volces.com/api/v3"
            )
            self.model = model or "doubao-seed-1-6-thinking-250715"
        elif self.provider == "kimi" or self.provider == "moonshot":
            self.client = OpenAI(
                api_key=api_key,
                base_url="https://api.moonshot.cn/v1"
            )
            self.model = model or "kimi-k2-0905-preview"
        else:
            raise ValueError(f"Unsupported provider: {provider}. Use 'siliconflow', 'doubao', 'kimi', or 'moonshot'")

---

### 🤖 Cursor Assistant

I'll help you update the user memory agent, conversational agent, and main.py to support multiple providers (siliconflow, doubao, kimi, and moonshot). Let me first examine the current structure of these files.

---

### 🤖 Cursor Assistant

Now let me check the background memory processor initialization as well:

---

### 🤖 Cursor Assistant

Let me update the config.py file to add support for multiple providers and their API keys:

---

### 🤖 Cursor Assistant

Let me update the main.py file more carefully, handling each instance separately:

---

### 🤖 Cursor Assistant

Let me create a test script to demonstrate how to use the updated system with different providers:

---

### 🤖 Cursor Assistant

Let me also create a documentation file explaining the multi-provider support:

---

### 🤖 Cursor Assistant

Perfect! I've successfully updated the User Memory System to support multiple LLM providers. Here's a summary of the changes:

## 🎉 **Update Complete: Multi-Provider Support Added**

### **Changes Made:**

1. **`config.py`** - Added multi-provider configuration:
   - Added `PROVIDER` environment variable
   - Added API keys for SiliconFlow and Doubao  
   - Created `get_api_key()` method to retrieve provider-specific keys
   - Updated `validate()` to check provider-specific API keys
   - Enhanced `print_config()` to show all configured providers

2. **`agent.py` (UserMemoryAgent)** - Updated to support multiple providers:
   - Added `provider` and `model` parameters to `__init__`
   - Added provider-specific client configuration for SiliconFlow, Doubao, Kimi/Moonshot
   - Updated logging to show current provider and model

3. **`conversational_agent.py`** - Updated to support multiple providers:
   - Added `provider` and `model` parameters to `__init__`
   - Same provider configuration logic as UserMemoryAgent

4. **`background_memory_processor.py`** - Updated to pass provider to UserMemoryAgent:
   - Added `provider` and `model` parameters
   - Passes these to the internal UserMemoryAgent instance

5. **`main.py`** - Added CLI support for provider selection:
   - Added `--provider` and `--model` command-line arguments
   - Updated all functions to accept and use provider parameters
   - Enhanced API key validation for different providers

6. **Created `test_providers.py`** - Test script to verify all providers work correctly

7. **Created `PROVIDERS.md`** - Comprehensive documentation for multi-provider support

### **Supported Providers:**

| Provider | Environment Variable | Default Model |
|----------|---------------------|---------------|
| **Kimi/Moonshot** (default) | `MOONSHOT_API_KEY` | `kimi-k2-0905-preview` |
| **SiliconFlow** | `SILICONFLOW_API_KEY` | `Qwen/Qwen3-235B-A22B-Thinking-2507` |
| **Doubao** | `DOUBAO_API_KEY` | `doubao-seed-1-6-thinking-250715` |

### **Usage Examples:**

```bash
# Use environment variable to set default provider
export PROVIDER=siliconflow
export SILICONFLOW_API_KEY=your-key
python main.py --mode interactive

# Specify provider via command line
python main.py --provider doubao --mode demo

# Use custom model
python main.py --provider siliconflow --model "Qwen/Qwen3-235B-A22B-Thinking-2507" --mode interactive
```

### **In Python Code:**

```python
from agent import UserMemoryAgent

# Use any provider
agent = UserMemoryAgent(
    user_id="test_user",
    provider="siliconflow",  # or "doubao", "kimi", "moonshot"
    model="Qwen/Qwen3-235B-A22B-Thinking-2507"  # optional
)
```

The system is now fully compatible with multiple providers while maintaining backward compatibility (defaults to Kimi if no provider is specified). All components have been updated and are ready to use! [[memory:8629917]] [[memory:8629901]]

---

### 👤 You

support OpenRouter provider and models: google/gemini-2.5-pro, openai/gpt-5, anthropic/claude-sonnet-4. Use the exact model strings. Allow user to set these models in command line in main.py

---

### 🤖 Cursor Assistant

I'll add support for OpenRouter as a provider, which will allow access to multiple models including Google Gemini, OpenAI GPT-5, and Anthropic Claude through a unified API.

---

### 🤖 Cursor Assistant

I'll add support for OpenRouter provider with the specific models you requested. Let me update all the necessary files.

---

### 🤖 Cursor Assistant

## 🎉 **OpenRouter Support Successfully Added!**

I've successfully added support for the **OpenRouter** provider with the exact model strings you requested. Here's what was implemented:

### **✅ Changes Completed:**

1. **config.py** - Added OpenRouter configuration:
   - `OPENROUTER_API_KEY` environment variable
   - OpenRouter base URL: `https://openrouter.ai/api/v1`
   - API key validation for OpenRouter

2. **agent.py** & **conversational_agent.py** - Added OpenRouter provider support:
   - Default model: `google/gemini-2.5-pro`
   - Supports all three requested models with exact strings

3. **main.py** - Added CLI support:
   - `--provider openrouter` option
   - `--model` parameter accepts the exact model strings

4. **Documentation & Testing**:
   - Updated `PROVIDERS.md` with OpenRouter documentation
   - Updated `test_providers.py` to test all OpenRouter models
   - Created `test_openrouter.py` specifically for OpenRouter testing

### **📦 Supported OpenRouter Models:**

| Model String | Description |
|-------------|-------------|
| `google/gemini-2.5-pro` | Google's Gemini 2.5 Pro (default) |
| `openai/gpt-5` | OpenAI's GPT-5 |
| `anthropic/claude-sonnet-4` | Anthropic's Claude Sonnet 4 |

### **🚀 Usage Examples:**

**Command Line:**
```bash
# Set API key
export OPENROUTER_API_KEY="your-api-key-here"

# Use with different models
python main.py --provider openrouter --model "google/gemini-2.5-pro" --mode interactive
python main.py --provider openrouter --model "openai/gpt-5" --mode demo
python main.py --provider openrouter --model "anthropic/claude-sonnet-4" --mode evaluation
```

**Python API:**
```python
from agent import UserMemoryAgent

# Using any of the three models
agent = UserMemoryAgent(
    user_id="test_user",
    provider="openrouter",
    model="google/gemini-2.5-pro"  # or "openai/gpt-5" or "anthropic/claude-sonnet-4"
)
```

**Test the Integration:**
```bash
# Test all OpenRouter models
python test_openrouter.py

# Test all providers including OpenRouter
python test_providers.py
```

The system now fully supports OpenRouter with the exact model strings you specified, allowing users to easily switch between Google Gemini 2.5 Pro, OpenAI GPT-5, and Anthropic Claude Sonnet 4 through command-line arguments or programmatic API calls. [[memory:8629917]]

---


*Exported from [Cursor View](https://github.com/saharmor/cursor-view)*