Grab AI Gateway: Connecting Grabbers to Multiple GenAI Providers

Grab AI Gateway: Connecting Grabbers to Multiple GenAI Providers

Streamline Access

• Problem: Each AI provider has different authentication methods, making it cumbersome for users to access services.
• Solution: Grab AI Gateway provides a centralized platform for easy access setup. Users only need to set base URLs to access LLMs, and API keys can be requested for exploration or production usage.

Identity and Access Management (IAM)

• Problem: Managing authentication and authorization across multiple AI providers can be complex.
• Solution: The gateway implements request path-based authorization, where keys are granted access to specific providers or features. An in-depth review by the AI Governance task force is possible in some cases.

Exploration Keys

• Problem: Users may find it challenging to experiment with different providers/models.
• Solution: Grab encourages Grabbers to use GenAI technologies for experimentation and learning. The gateway allows dynamic routing of requests to different models, lowering the barrier to experimentation.

Cost Attribution

• Problem: Allocating costs to each use case is essential for responsible usage.
• Solution: The gateway calculates costs for each request, archives them in the data lake with an audit trail, and aggregates them for reporting on dashboards and showback.

Rate Limits

• Problem: Global provider limits need to be managed to prevent overconsumption.
• Solution: AI Gateway enforces its rate limit on top of provider limits to ensure quotas are not exhausted by a single service.

The Grab AI Gateway aims to simplify access to multiple GenAI providers, manage costs, and enforce rate limits to ensure responsible usage.