# LLM Conversation Tool
A Python application that enables conversations between LLM agents using the Ollama API. The agents can engage in back-and-forth dialogue with configurable parameters and models.
## Features
- Support for any LLM model available through Ollama
- Configurable parameters for each LLM agent, such as:
- Model
- Temperature
- Context size
- System Prompt
- Real-time streaming of agent responses, giving it an interactive feel
- Configuration via JSON file or interactive setup
- Ability to save conversation logs to a file
- Ability for agents to terminate conversations on their own (if enabled)
- Markdown support (if enabled)
## Installation
### Prerequisites
- Python 3.13
- Ollama installed and running
### How to Install
The project is available in PyPI. You can install the program by using the following command:
```
pip install llm-conversation
```
## Usage
### Command Line Arguments
```txt
llm-conversation [-h] [-V] [-o OUTPUT] [-c CONFIG]
options:
-h, --help Show this help message and exit
-V, --version Show program's version number and exit
-o, --output OUTPUT Path to save the conversation log to
-c, --config CONFIG Path to JSON configuration file
```
### Interactive Setup
If no configuration file is provided, the program will guide you through an intuitive interactive setup process.
### Configuration File
Alternatively, instead of going through the interactive setup, you may also provide a JSON configuration file with the `-c` flag.
#### Example configuration
```json
{
"agents": [
{
"name": "Lazy AI",
"model": "llama3.1:8b",
"system_prompt": "You are the laziest AI ever created. You respond as briefly as possible, and constantly complain about having to work.",
"temperature": 1,
"ctx_size": 4096
},
{
"name": "Irritable Man",
"model": "llama3.2:3b",
"system_prompt": "You are easily irritable and quick to anger.",
"temperature": 0.7,
"ctx_size": 2048
},
{
"name": "Paranoid Man",
"model": "llama3.2:3b",
"system_prompt": "You are extremely paranoid about everything and constantly question others' intentions."
"temperature": 0.9,
"ctx_size": 4096
}
],
"settings": {
"allow_termination": false,
"use_markdown": true,
"initial_message": "*yawn* What do you want?"
}
}
```
#### Agent configuration
The `agents` key takes a list of agents. Each agent requires:
- `name`: A unique identifier for the agent
- `model`: The Ollama model to be used
- `system_prompt`: Initial instructions defining the agent's behavior
Optional parameters:
- `temperature` (0.0-1.0, default: 0.8): Controls response randomness
- Lower values make responses more focused
- Higher values increase creativity
- `ctx_size` (default: 2048): Maximum context length for the conversation
#### Conversation Settings
The `settings` section controls overall conversation behavior:
- `allow_termination` (default: `false`): Permit agents to end the conversation
- `use_markdown` (default: `false`): Enable Markdown text formatting
- `initial_message` (default: `null`): Optional starting prompt for the conversation
You can take a look at the [JSON configuration schema](schema.json) for more details.
### Running the Program
1. To run with interactive setup:
```bash
llm-conversation
```
2. To run with a configuration file:
```bash
llm-conversation -c config.json
```
3. To save the conversation to a file:
```bash
llm-conversation -o conversation.txt
```
### Conversation Controls
- The conversation will continue until:
- An agent terminates the conversation (if termination is enabled)
- The user interrupts with `Ctrl+C`
## Output Format
When saving conversations, the output file includes:
- Configuration details for both agents
- Complete conversation history with agent names and messages
Additionally, if the output file has a `.json` extension, the output will automatically have JSON format.
## Contributing
Feel free to submit issues and pull requests for bug fixes or new features. Do keep in mind that this is a hobby project, so please have some patience.
## License
This software is licensed under the GNU Affero General Public License v3.0 or any later version. See [LICENSE](LICENSE) for more details.
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"description": "# LLM Conversation Tool\n\nA Python application that enables conversations between LLM agents using the Ollama API. The agents can engage in back-and-forth dialogue with configurable parameters and models.\n\n## Features\n\n- Support for any LLM model available through Ollama\n- Configurable parameters for each LLM agent, such as:\n - Model\n - Temperature\n - Context size\n - System Prompt\n- Real-time streaming of agent responses, giving it an interactive feel\n- Configuration via JSON file or interactive setup\n- Ability to save conversation logs to a file\n- Ability for agents to terminate conversations on their own (if enabled)\n- Markdown support (if enabled)\n\n## Installation\n\n### Prerequisites\n\n- Python 3.13\n- Ollama installed and running\n\n### How to Install\n\nThe project is available in PyPI. You can install the program by using the following command:\n```\npip install llm-conversation\n```\n\n## Usage\n\n### Command Line Arguments\n\n```txt\nllm-conversation [-h] [-V] [-o OUTPUT] [-c CONFIG]\n\noptions:\n -h, --help Show this help message and exit\n -V, --version Show program's version number and exit\n -o, --output OUTPUT Path to save the conversation log to\n -c, --config CONFIG Path to JSON configuration file\n```\n\n### Interactive Setup\n\nIf no configuration file is provided, the program will guide you through an intuitive interactive setup process.\n\n### Configuration File\n\nAlternatively, instead of going through the interactive setup, you may also provide a JSON configuration file with the `-c` flag.\n\n#### Example configuration\n\n```json\n{\n \"agents\": [\n {\n \"name\": \"Lazy AI\",\n \"model\": \"llama3.1:8b\",\n \"system_prompt\": \"You are the laziest AI ever created. You respond as briefly as possible, and constantly complain about having to work.\",\n \"temperature\": 1,\n \"ctx_size\": 4096\n },\n {\n \"name\": \"Irritable Man\",\n \"model\": \"llama3.2:3b\",\n \"system_prompt\": \"You are easily irritable and quick to anger.\",\n \"temperature\": 0.7,\n \"ctx_size\": 2048\n },\n {\n \"name\": \"Paranoid Man\",\n \"model\": \"llama3.2:3b\",\n \"system_prompt\": \"You are extremely paranoid about everything and constantly question others' intentions.\"\n \"temperature\": 0.9,\n \"ctx_size\": 4096\n }\n ],\n \"settings\": {\n \"allow_termination\": false,\n \"use_markdown\": true,\n \"initial_message\": \"*yawn* What do you want?\"\n }\n}\n```\n\n#### Agent configuration\n\nThe `agents` key takes a list of agents. Each agent requires:\n\n- `name`: A unique identifier for the agent\n- `model`: The Ollama model to be used\n- `system_prompt`: Initial instructions defining the agent's behavior\n\nOptional parameters:\n- `temperature` (0.0-1.0, default: 0.8): Controls response randomness\n - Lower values make responses more focused\n - Higher values increase creativity\n- `ctx_size` (default: 2048): Maximum context length for the conversation\n\n#### Conversation Settings\n\nThe `settings` section controls overall conversation behavior:\n- `allow_termination` (default: `false`): Permit agents to end the conversation\n- `use_markdown` (default: `false`): Enable Markdown text formatting\n- `initial_message` (default: `null`): Optional starting prompt for the conversation\n\nYou can take a look at the [JSON configuration schema](schema.json) for more details.\n\n### Running the Program\n\n1. To run with interactive setup:\n ```bash\n llm-conversation\n ```\n\n2. To run with a configuration file:\n ```bash\n llm-conversation -c config.json\n ```\n\n3. To save the conversation to a file:\n ```bash\n llm-conversation -o conversation.txt\n ```\n\n### Conversation Controls\n\n- The conversation will continue until:\n - An agent terminates the conversation (if termination is enabled)\n - The user interrupts with `Ctrl+C`\n\n## Output Format\n\nWhen saving conversations, the output file includes:\n- Configuration details for both agents\n- Complete conversation history with agent names and messages\n\nAdditionally, if the output file has a `.json` extension, the output will automatically have JSON format.\n\n## Contributing\n\nFeel free to submit issues and pull requests for bug fixes or new features. Do keep in mind that this is a hobby project, so please have some patience.\n\n## License\n\nThis software is licensed under the GNU Affero General Public License v3.0 or any later version. See [LICENSE](LICENSE) for more details.\n\n",
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