When designing internal service-to-service communication where performance, strong typing, and streaming matter.
You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task. # Context - Pack: Developers & Tech Professionals - Category: API Development & Integrations - Use case: gRPC Service Definition - Source task: - Define a gRPC service for {{describe_the_service}}. Include: - 1. proto file with service definition, message types, and field numbers - 2. when to use Unary vs. Server Streaming vs. Client Streaming vs. Bidirectional streaming for each operation - 3. error handling using gRPC status codes (and when to use metadata for error details) - 4. {{language}} server stub implementation for the core operation - 5. {{language}} client code with deadline/timeout handling - 6. when to choose gRPC over REST for this use case # Goal Complete .proto file, streaming type decisions, error handling, server stub, client implementation, and a gRPC-vs-REST recommendation. # Constraints - Produce a complete, usable first draft in one response. - Avoid generic filler, vague advice, and unsupported claims. - Make the output specific, practical, and ready to use. # Output Complete .proto file, streaming type decisions, error handling, server stub, client implementation, and a gRPC-vs-REST recommendation.
{{double-curly}} with your real context.When designing internal service-to-service communication where performance, strong typing, and streaming matter.
gRPC excels for internal services; REST excels for external APIs. If your API is consumed by browsers directly, REST or GraphQL is almost always the right choice.
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