| Name | multiai JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | A Python library for text-based AI interactions |
| upload_time | 2024-12-06 06:16:18 |
| maintainer | None |
| docs_url | None |
| author | Katsutoshi Seki |
| requires_python | >=3.10 |
| license | MIT |
| keywords |
ai
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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No coveralls.
|
# multiai
`multiai` is a Python library and command-line tool designed to interact with text-based generative AI models from the following providers:
| AI Provider | Web Service | Models Available |
|--------------|------------------------------------|----------------------------------------------------------------|
| **OpenAI** | [ChatGPT](https://chat.openai.com/) | [GPT Models](https://platform.openai.com/docs/models) |
| **Anthropic**| [Claude](https://claude.ai/) | [Claude Models](https://docs.anthropic.com/en/docs/about-claude/models) |
| **Google** | [Gemini](https://gemini.google.com/)| [Gemini Models](https://ai.google.dev/gemini-api/docs/models/gemini) |
| **Perplexity** | [Perplexity](https://www.perplexity.ai/) | [Perplexity Models](https://docs.perplexity.ai/docs/model-cards) |
| **Mistral** | [Mistral](https://chat.mistral.ai/chat) | [Mistral Models](https://docs.mistral.ai/getting-started/models/) |
## Key Features
- **Interactive Chat:** Communicate with AI directly from your terminal.
- **Multi-Line Input:** Supports multi-line prompts for complex queries.
- **Pager for Long Responses:** View lengthy responses conveniently using a pager.
- **Continuation Handling:** Automatically handle and request continuations if responses are cut off.
- **Automatic Chat Logging:** Automatically save your chat history for future reference.
## Usage
Install `multiai`, then configure your API keys for your chosen AI providers as environment variables or in a user-setting file. Once that's done, you can start interacting with the AI.
- To send a simple query:
```bash
ai hi
```
You should see a response like:
```bash
gpt-4o-mini>
Hello! How can I assist you today?
```
- For an interactive session, enter interactive mode:
```bash
ai
```
In this mode, you can continue the conversation:
```bash
user> hi
gpt-4o-mini>
Hello! How can I assist you today?
user> how are you
gpt-4o-mini>
I'm just a program, so I don't have feelings, but I'm here and ready to help you! How about you? How are you doing?
user>
```
To see a list of all command-line options, use:
```bash
ai -h
```
For more detailed documentation, you can open the [manual](https://sekika.github.io/multiai/) in a web browser with:
```bash
ai -d
```
## Using `multiai` as a Python Library
`multiai` can also be used as a Python library. Here’s a simple example:
```python
import multiai
# Initialize the client
client = multiai.Prompt()
client.set_model('openai', 'gpt-4o') # Set model
client.temperature = 0.5 # Set temperature
# Send a prompt and get a response
answer = client.ask('hi')
print(answer)
# Continue the conversation with context
answer = client.ask('how are you')
print(answer)
# Clear the conversation context
client.clear()
```
The manual includes the following sample codes:
- A script that translates a text file into English.
- A local chat app that allows you to easily select from various AI models provided by different providers and engage in conversations with them.
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"description": "# multiai\n\n`multiai` is a Python library and command-line tool designed to interact with text-based generative AI models from the following providers:\n\n| AI Provider | Web Service | Models Available |\n|--------------|------------------------------------|----------------------------------------------------------------|\n| **OpenAI** | [ChatGPT](https://chat.openai.com/) | [GPT Models](https://platform.openai.com/docs/models) |\n| **Anthropic**| [Claude](https://claude.ai/) | [Claude Models](https://docs.anthropic.com/en/docs/about-claude/models) |\n| **Google** | [Gemini](https://gemini.google.com/)| [Gemini Models](https://ai.google.dev/gemini-api/docs/models/gemini) |\n| **Perplexity** | [Perplexity](https://www.perplexity.ai/) | [Perplexity Models](https://docs.perplexity.ai/docs/model-cards) |\n| **Mistral** | [Mistral](https://chat.mistral.ai/chat) | [Mistral Models](https://docs.mistral.ai/getting-started/models/) |\n\n## Key Features\n\n- **Interactive Chat:** Communicate with AI directly from your terminal.\n- **Multi-Line Input:** Supports multi-line prompts for complex queries.\n- **Pager for Long Responses:** View lengthy responses conveniently using a pager.\n- **Continuation Handling:** Automatically handle and request continuations if responses are cut off.\n- **Automatic Chat Logging:** Automatically save your chat history for future reference.\n\n## Usage\n\nInstall `multiai`, then configure your API keys for your chosen AI providers as environment variables or in a user-setting file. Once that's done, you can start interacting with the AI.\n\n- To send a simple query:\n\n ```bash\n ai hi\n ```\n\n You should see a response like:\n\n ```bash\n gpt-4o-mini>\n Hello! How can I assist you today?\n ```\n\n- For an interactive session, enter interactive mode:\n\n ```bash\n ai\n ```\n\n In this mode, you can continue the conversation:\n\n ```bash\n user> hi\n gpt-4o-mini>\n Hello! How can I assist you today?\n user> how are you\n gpt-4o-mini>\n I'm just a program, so I don't have feelings, but I'm here and ready to help you! How about you? How are you doing?\n user>\n ```\n\nTo see a list of all command-line options, use:\n\n```bash\nai -h\n```\n\nFor more detailed documentation, you can open the [manual](https://sekika.github.io/multiai/) in a web browser with:\n\n```bash\nai -d\n```\n\n## Using `multiai` as a Python Library\n\n`multiai` can also be used as a Python library. Here\u2019s a simple example:\n\n```python\nimport multiai\n\n# Initialize the client\nclient = multiai.Prompt()\nclient.set_model('openai', 'gpt-4o') # Set model\nclient.temperature = 0.5 # Set temperature\n\n# Send a prompt and get a response\nanswer = client.ask('hi')\nprint(answer)\n\n# Continue the conversation with context\nanswer = client.ask('how are you')\nprint(answer)\n\n# Clear the conversation context\nclient.clear()\n```\n\nThe manual includes the following sample codes:\n\n- A script that translates a text file into English.\n- A local chat app that allows you to easily select from various AI models provided by different providers and engage in conversations with them.\n",
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