LLM Gateway Server
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An LLM Gateway Server is a integration server that enables system integration between LLM systems and external systems through model protocols and integration interfaces.
- AKA: LLM Integration Server.
- Context:
- It can typically handle Model Requests through protocol handlers for llm interaction.
- It can typically manage Model Connections through connection lifecycle for llm sessions.
- It can typically maintain Model State through state management for llm context.
- It can typically process Context Data through data processors for model input.
- It can typically secure Model Credentials through security boundarys for api access.
- It can typically implement Model Interfaces through api endpoints for llm services.
- It can often validate Context Format through schema validation for input data.
- It can often control Model Usage through rate limiting for api quota.
- It can often optimize Response Time through request optimization for model performance.
- It can often handle Error Responses through error handling for model failures.
- It can often support Context Caching through cache management for response optimization.
- It can often enable Model Fallback through fallback strategy for system reliability.
- It can often be create by an LLM Gateway Server Development Project.
- ...
- It can range from being a Simple Gateway Server to being an Enterprise Gateway Server, depending on its integration scope.
- It can range from being a Single Model Server to being a Multi Model Server, depending on its model support.
- It can range from being a Development Gateway to being a Production Gateway, depending on its deployment stage.
- It can range from being a Basic Integration Server to being an Advanced Integration Server, depending on its feature set.
- ...
- It can integrate with LLM Providers through model apis for model access.
- It can connect to Data Sources through data connectors for context retrieval.
- It can support Tool Systems through tool interfaces for function calling.
- It can implement Health Checks through monitoring systems for service health.
- It can maintain Usage Metrics through metric collectors for service tracking.
- ...
- Examples:
- Model Gateway Types, such as:
- Cloud Model Gateways, such as:
- OpenAI Gateway Server for gpt model access.
- Azure Model Gateway for azure model integration.
- Local Model Gateways, such as:
- Llama Gateway Server for llama model access.
- Local Embedding Server for embedding model use.
- Cloud Model Gateways, such as:
- Integration Patterns, such as:
- Synchronous Gateways, such as:
- Asynchronous Gateways, such as:
- Feature Patterns, such as:
- Context Gateways, such as:
- Specialized Gateways, such as:
- Protocol-Specific ..., such as:
- ...
- Model Gateway Types, such as:
- Counter-Examples:
- Traditional API Gateway, which lacks llm protocol support.
- General Purpose Proxy, which lacks model specific optimization.
- Web Application Server, which focuses on web content rather than model integration.
- See: Integration Pattern, LLM Integration, Gateway Pattern, Model Protocol, System Integration.