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# Minion Brain Chat - LLM Configuration Guide | |
This application now supports flexible LLM configuration, allowing you to configure language models in multiple ways. | |
## Features | |
### 1. Preset Configurations | |
The application has built-in preset configurations loaded from `.env` file: | |
- **gpt-4o**: GPT-4o Azure configuration | |
- **gpt-4o-mini**: GPT-4o-mini Azure configuration | |
- **gpt-4.1**: GPT-4.1 Azure configuration | |
- **o4-mini**: O4-mini Azure configuration | |
### 2. Custom Configuration | |
Select "Custom" option to fully customize all LLM parameters: | |
- API Type (openai, azure, ollama, groq, etc.) | |
- API Key | |
- Base URL | |
- API Version | |
- Model Name | |
- Temperature (0.0-2.0) | |
- Max Tokens (100-8000) | |
### 3. Environment Variable Support | |
The application automatically loads configurations from `.env` file. Environment variable format: | |
```bash | |
# GPT-4o Azure Configuration | |
GPT_4O_API_TYPE=azure | |
GPT_4O_API_KEY=your_api_key_here | |
GPT_4O_BASE_URL=https://your-endpoint.openai.azure.com/ | |
GPT_4O_API_VERSION=2024-06-01 | |
GPT_4O_TEMPERATURE=0 | |
GPT_4O_MAX_TOKENS=4000 | |
GPT_4O_MODEL=gpt-4o | |
``` | |
## Usage | |
### Method 1: Using Preset Configurations | |
1. Select a preset configuration from "Preset Model" dropdown (e.g., gpt-4o) | |
2. Other fields will automatically populate with corresponding configuration values | |
3. Enter your question and submit | |
### Method 2: Custom Configuration | |
1. Select "Custom" from "Preset Model" dropdown | |
2. Manually fill in all configuration fields: | |
- API Type: Choose provider type | |
- API Key: Enter your API key | |
- Base URL: Enter API base URL | |
- API Version: Enter API version (required for Azure) | |
- Model: Enter model name | |
- Temperature: Adjust generation randomness | |
- Max Tokens: Set maximum generation length | |
3. Enter your question and submit | |
## Security | |
- API keys are displayed as `***hidden***` in the interface | |
- `.env` file is added to `.gitignore` and won't be committed to version control | |
## Configuration Examples | |
### OpenAI Configuration | |
``` | |
API Type: openai | |
API Key: sk-your-openai-api-key | |
Base URL: https://api.openai.com/v1 | |
API Version: (leave empty) | |
Model: gpt-4 | |
Temperature: 0.7 | |
Max Tokens: 4000 | |
``` | |
### Azure OpenAI Configuration | |
``` | |
API Type: azure | |
API Key: your-azure-api-key | |
Base URL: https://your-resource.openai.azure.com/ | |
API Version: 2024-06-01 | |
Model: gpt-4 | |
Temperature: 0.7 | |
Max Tokens: 4000 | |
``` | |
### Ollama Local Configuration | |
``` | |
API Type: ollama | |
API Key: (leave empty) | |
Base URL: http://localhost:11434 | |
API Version: (leave empty) | |
Model: llama2 | |
Temperature: 0.7 | |
Max Tokens: 4000 | |
``` | |
## Troubleshooting | |
1. **API Key Error**: Check if API key is correct and valid | |
2. **Connection Error**: Verify if Base URL is correct | |
3. **Permission Error**: Ensure API key has access to the specified model | |
4. **Version Error**: For Azure, ensure API Version is correct | |
## Updating Configuration | |
To update preset configurations: | |
1. Edit the `.env` file | |
2. Restart the application to load new configurations | |
To add new preset configurations: | |
1. Add new environment variables in `.env` file | |
2. Add new configuration in `get_preset_configs()` function in `app1.py` | |
3. Restart the application |