| Name | lexa JSON |
| Version |
1.0.3
JSON |
| download |
| home_page | None |
| Summary | Python SDK for Lexa AI - OpenAI-compatible interface for Lexa's language models |
| upload_time | 2025-08-31 19:44:42 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | MIT |
| keywords |
ai
api
chat
completion
lexa
llm
ml
|
| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
|
| Travis-CI |
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|
# Lexa Python SDK
[](https://pypi.org/project/lexa/)
[](https://www.python.org/downloads/)
[](https://opensource.org/licenses/MIT)
A Python SDK for Lexa AI that provides an OpenAI-compatible interface for easy integration with Lexa's language models. Built with automatic SSL configuration and zero-setup installation.
## ✨ Features
- 🔗 **OpenAI-Compatible**: Drop-in replacement for OpenAI SDK
- 🚀 **Async Support**: Full async/await support for high-performance applications
- 📦 **Type Safety**: Comprehensive type hints and validation with Pydantic
- 🔄 **Streaming**: Real-time streaming responses for interactive applications
- 🛡️ **Auto SSL**: Automatic SSL certificate handling - works out of the box
- 📊 **Multiple Models**: Support for all Lexa models (lexa-mml, lexa-x1, lexa-rho)
- 🔧 **Flexible Configuration**: Optional SSL and configuration overrides
- ⚡ **High Performance**: Optimized HTTP clients with connection pooling
## 📦 Installation
```bash
pip install lexa
```
## 🚀 Quick Start
```python
from lexa_sdk import Lexa
# Initialize the client with your API key
client = Lexa(api_key="your-api-key")
# Simple chat completion
response = client.chat.completions.create(
model="lexa-mml",
messages=[
{"role": "user", "content": "Hello! Tell me a joke."}
],
temperature=0.7,
max_tokens=100
)
print(response["choices"][0]["message"]["content"])
```
## 📚 Available Models
| Model | Description | Context Window | Max Tokens | Use Case |
|-------|-------------|----------------|------------|----------|
| `lexa-mml` | Multimodal model with vision capabilities | 8,192 | 4,096 | General purpose with image understanding |
| `lexa-x1` | Fast, lightweight text-based model | 4,096 | 2,048 | Quick responses, simple tasks |
| `lexa-rho` | Reasoning model with enhanced capabilities | 16,384 | 8,192 | Complex reasoning, analysis |
## 🔧 Advanced Usage
### Async Support
```python
import asyncio
from lexa_sdk import Lexa
async def main():
client = Lexa(api_key="your-api-key")
# Async chat completion
response = await client.chat.completions.acreate(
model="lexa-mml",
messages=[{"role": "user", "content": "Explain quantum computing"}],
temperature=0.3
)
print(response["choices"][0]["message"]["content"])
asyncio.run(main())
```
### Streaming Responses
```python
from lexa_sdk import Lexa
client = Lexa(api_key="your-api-key")
# Streaming chat completion
stream = client.chat.completions.create(
model="lexa-mml",
messages=[{"role": "user", "content": "Write a short story"}],
temperature=0.8,
stream=True
)
for chunk in stream:
if chunk["choices"][0]["delta"].get("content"):
print(chunk["choices"][0]["delta"]["content"], end="", flush=True)
```
### Custom SSL Configuration
```python
from lexa_sdk import Lexa
# For environments with SSL issues (not recommended for production)
client = Lexa(
api_key="your-api-key",
verify_ssl=False # ⚠️ Only use if necessary
)
# Or use enhanced SSL (default behavior)
client = Lexa(
api_key="your-api-key",
enhanced_ssl=True # Automatically download and use correct certificates
)
```
## 🛠️ API Reference
### Client Methods
- `client.chat.completions.create()` - Create chat completion
- `client.chat.completions.acreate()` - Async chat completion
- `client.models.list()` - List available models
- `client.models.alist()` - Async list models
### Parameters
- `model`: Model to use (required)
- `messages`: List of messages (required)
- `temperature`: Sampling temperature (0.0 to 2.0)
- `max_tokens`: Maximum tokens to generate
- `stream`: Enable streaming responses
- `top_p`: Nucleus sampling parameter
- `frequency_penalty`: Frequency penalty
- `presence_penalty`: Presence penalty
## 🔒 Security & SSL
The Lexa SDK automatically handles SSL certificate verification:
- **Default**: Uses enhanced SSL with automatic certificate management
- **Fallback**: Gracefully falls back to standard SSL verification
- **Manual Override**: Allows custom SSL configuration when needed
## 📖 Documentation
For complete documentation, examples, and API reference, visit:
- [Official Documentation](https://docs.lexa.chat/)
- [GitHub Repository](https://github.com/Robi-Labs/lexa-python-sdk)
- [Issue Tracker](https://github.com/Robi-Labs/lexa-python-sdk/issues)
## 🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🙏 Acknowledgments
- Built with ❤️ by [Robi Labs](https://robiai.com/)
- Compatible with OpenAI API specifications
- Powered by Lexa's advanced AI models
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"description": "# Lexa Python SDK\n\n[](https://pypi.org/project/lexa/)\n[](https://www.python.org/downloads/)\n[](https://opensource.org/licenses/MIT)\n\nA Python SDK for Lexa AI that provides an OpenAI-compatible interface for easy integration with Lexa's language models. Built with automatic SSL configuration and zero-setup installation.\n\n## \u2728 Features\n\n- \ud83d\udd17 **OpenAI-Compatible**: Drop-in replacement for OpenAI SDK\n- \ud83d\ude80 **Async Support**: Full async/await support for high-performance applications\n- \ud83d\udce6 **Type Safety**: Comprehensive type hints and validation with Pydantic\n- \ud83d\udd04 **Streaming**: Real-time streaming responses for interactive applications\n- \ud83d\udee1\ufe0f **Auto SSL**: Automatic SSL certificate handling - works out of the box\n- \ud83d\udcca **Multiple Models**: Support for all Lexa models (lexa-mml, lexa-x1, lexa-rho)\n- \ud83d\udd27 **Flexible Configuration**: Optional SSL and configuration overrides\n- \u26a1 **High Performance**: Optimized HTTP clients with connection pooling\n\n## \ud83d\udce6 Installation\n\n```bash\npip install lexa\n```\n\n## \ud83d\ude80 Quick Start\n\n```python\nfrom lexa_sdk import Lexa\n\n# Initialize the client with your API key\nclient = Lexa(api_key=\"your-api-key\")\n\n# Simple chat completion\nresponse = client.chat.completions.create(\n model=\"lexa-mml\",\n messages=[\n {\"role\": \"user\", \"content\": \"Hello! Tell me a joke.\"}\n ],\n temperature=0.7,\n max_tokens=100\n)\n\nprint(response[\"choices\"][0][\"message\"][\"content\"])\n```\n\n## \ud83d\udcda Available Models\n\n| Model | Description | Context Window | Max Tokens | Use Case |\n|-------|-------------|----------------|------------|----------|\n| `lexa-mml` | Multimodal model with vision capabilities | 8,192 | 4,096 | General purpose with image understanding |\n| `lexa-x1` | Fast, lightweight text-based model | 4,096 | 2,048 | Quick responses, simple tasks |\n| `lexa-rho` | Reasoning model with enhanced capabilities | 16,384 | 8,192 | Complex reasoning, analysis |\n\n## \ud83d\udd27 Advanced Usage\n\n### Async Support\n\n```python\nimport asyncio\nfrom lexa_sdk import Lexa\n\nasync def main():\n client = Lexa(api_key=\"your-api-key\")\n\n # Async chat completion\n response = await client.chat.completions.acreate(\n model=\"lexa-mml\",\n messages=[{\"role\": \"user\", \"content\": \"Explain quantum computing\"}],\n temperature=0.3\n )\n\n print(response[\"choices\"][0][\"message\"][\"content\"])\n\nasyncio.run(main())\n```\n\n### Streaming Responses\n\n```python\nfrom lexa_sdk import Lexa\n\nclient = Lexa(api_key=\"your-api-key\")\n\n# Streaming chat completion\nstream = client.chat.completions.create(\n model=\"lexa-mml\",\n messages=[{\"role\": \"user\", \"content\": \"Write a short story\"}],\n temperature=0.8,\n stream=True\n)\n\nfor chunk in stream:\n if chunk[\"choices\"][0][\"delta\"].get(\"content\"):\n print(chunk[\"choices\"][0][\"delta\"][\"content\"], end=\"\", flush=True)\n```\n\n### Custom SSL Configuration\n\n```python\nfrom lexa_sdk import Lexa\n\n# For environments with SSL issues (not recommended for production)\nclient = Lexa(\n api_key=\"your-api-key\",\n verify_ssl=False # \u26a0\ufe0f Only use if necessary\n)\n\n# Or use enhanced SSL (default behavior)\nclient = Lexa(\n api_key=\"your-api-key\",\n enhanced_ssl=True # Automatically download and use correct certificates\n)\n```\n\n## \ud83d\udee0\ufe0f API Reference\n\n### Client Methods\n\n- `client.chat.completions.create()` - Create chat completion\n- `client.chat.completions.acreate()` - Async chat completion\n- `client.models.list()` - List available models\n- `client.models.alist()` - Async list models\n\n### Parameters\n\n- `model`: Model to use (required)\n- `messages`: List of messages (required)\n- `temperature`: Sampling temperature (0.0 to 2.0)\n- `max_tokens`: Maximum tokens to generate\n- `stream`: Enable streaming responses\n- `top_p`: Nucleus sampling parameter\n- `frequency_penalty`: Frequency penalty\n- `presence_penalty`: Presence penalty\n\n## \ud83d\udd12 Security & SSL\n\nThe Lexa SDK automatically handles SSL certificate verification:\n- **Default**: Uses enhanced SSL with automatic certificate management\n- **Fallback**: Gracefully falls back to standard SSL verification\n- **Manual Override**: Allows custom SSL configuration when needed\n\n## \ud83d\udcd6 Documentation\n\nFor complete documentation, examples, and API reference, visit:\n- [Official Documentation](https://docs.lexa.chat/)\n- [GitHub Repository](https://github.com/Robi-Labs/lexa-python-sdk)\n- [Issue Tracker](https://github.com/Robi-Labs/lexa-python-sdk/issues)\n\n## \ud83e\udd1d Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n## \ud83d\udcc4 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## \ud83d\ude4f Acknowledgments\n\n- Built with \u2764\ufe0f by [Robi Labs](https://robiai.com/)\n- Compatible with OpenAI API specifications\n- Powered by Lexa's advanced AI models\n",
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