Lumina API
The Lumina API is the planned developer interface for interacting with Lumina language models — a simple, reliable, developer-friendly way to integrate AI-powered text generation into applications.
Not yet available. Everything on this page — endpoints, auth, models — is a design draft and subject to change before the first stable release.
Planned Features
The first public release of the Lumina API is expected to support:
Additional capabilities may be introduced in future versions.
Intended Use Cases
Lumina is intended for applications such as:
- AI chat assistants
- Customer support tools
- Knowledge assistants
- Educational applications
- Writing and editing assistance
- Content summarization
- Brainstorming and idea generation
- Productivity applications
- General programming-related questions
- API integration into websites, desktop applications, and mobile apps
Not Intended For
Lumina is not designed for:
- Medical diagnosis or treatment
- Legal advice
- Financial or investment advice
- Emergency response
- Safety-critical systems
- Autonomous decision-making without human oversight
- Activities that violate applicable laws or regulations
Developers are responsible for evaluating whether Lumina is appropriate for their specific use case.
Endpoints
Planned endpoints include:
- •Chat Completions
- •Text Generation
- •Models
- •Embeddings
Authentication
Authentication is expected to use API keys sent in the Authorization header.
Authorization: Bearer YOUR_API_KEYExample Request
The example illustrates the intended API design and is not currently functional.
POST /v1/chat
Content-Type: application/json
Authorization: Bearer YOUR_API_KEY{
"model": "parallax-lumina-v1",
"messages": [
{
"role": "user",
"content": "Explain quantum computing in simple terms."
}
]
}{
"id": "chatcmpl-example",
"object": "chat.completion",
"model": "parallax-lumina-v1",
"choices": [
{
"message": {
"role": "assistant",
"content": "Quantum computers use quantum bits, or qubits, which can represent multiple states at once. This allows certain problems to be solved much more efficiently than with traditional computers."
}
}
]
}Safety
The API is planned to include safeguards intended to:
- Refuse clearly harmful or illegal requests where appropriate
- Reduce prompt injection risks for supported tool integrations
- Help protect sensitive information in supported workflows
No AI system is perfect, and developers should implement additional safeguards appropriate for their applications.
Limitations
As an AI language model, Lumina may:
- Produce inaccurate or outdated information
- Generate incomplete responses
- Misinterpret ambiguous prompts
- Produce inconsistent answers for complex reasoning tasks
Developers should validate important outputs before relying on them.
Development roadmap
Phase 1
Private internal testing
Phase 2
Developer Preview
Phase 3
Public API
Phase 4
General Availability
Future releases may introduce additional capabilities, performance improvements, and expanded model support.
Feedback
Community feedback will play an important role in shaping future versions of Lumina. Suggestions, bug reports, and feature requests will be welcomed once the project becomes publicly available.