Model Access Groups And Wildcard Pattern Matching

via “model-access-groups-and-wildcard-routing”

Unified API for 100+ LLM providers — OpenAI format, load balancing, spend tracking, proxy server.

Unique: Implements wildcard pattern matching (e.g., 'gpt-4-*', 'claude-*', 'open-source-*') for model access groups, enabling dynamic access without manual updates. Patterns are evaluated at request time against the model identifier, allowing new models to be automatically accessible if they match an assigned pattern.

vs others: More flexible than explicit model lists; automatic support for new models vs manual updates; wildcard patterns reduce configuration overhead

via “model-access-groups-and-wildcard-pattern-matching”

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]

Unique: Implements model access control via wildcard pattern matching on model names, allowing administrators to define access groups like 'gpt-4*' or 'claude-*-v1' that automatically include new models matching the pattern without explicit reconfiguration

vs others: More scalable than per-model access control; wildcard patterns reduce configuration burden as new models are released, vs. requiring manual updates to access lists

via “model-access-groups-and-wildcard-routing”

Library to easily interface with LLM API providers

Unique: Supports wildcard patterns for model access groups (e.g., 'gpt-4*') with fine-grained access control per user/team. Enables dynamic model discovery and routing based on permissions.

vs others: More flexible than simple allow/deny lists; wildcard patterns enable scalable access control as new models are released. Integrates with proxy server for centralized enforcement.