kv-store-grpc

Implement a gRPC key-value store service in Python with protobuf definitions.

134|21|Updated Nov 12, 2025
One-click install
npx skills add https://github.com/letta-ai/skills --skill kv-store-grpc
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Skill: kv-store-grpc
Source: https://github.com/letta-ai/skills/tree/main/ai/benchmarks/letta/terminal-bench-2/trajectory-feedback/kv-store-grpc
Command: npx skills add https://github.com/letta-ai/skills --skill kv-store-grpc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill guides building a gRPC-based KV store service, including protobufs, server implementation, and basic client verification.

Core Features & Use Cases

  • Protobuf service design: Define Set/Get messages and a KV store service.
  • Server implementation: Implement a simple in-memory dictionary-backed KV store.
  • Client verification: A quick client snippet to test Set/Get operations.

Quick Start

Example: implement a KVStoreServicer with SetVal/GetVal RPCs and verify a round-trip set/get workflow.

Frequently Asked Questions about kv-store-grpc

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a gRPC service with a key-value store in Python?

A gRPC-based key-value store uses protobuf service definitions to define Set and Get RPCs, then implements a server with an in-memory dictionary backend. Python code generation from protobufs and grpcio handle the service framework, while your implementation adds validation and operation logic.

What do I need to set up protobuf and gRPC in Python?

Install grpcio and grpcio-tools to generate Python code from protobuf definitions. Compile your .proto files to create service stubs and message classes, then implement the server-side servicer to handle Get and Set operations.

How do I handle missing keys in a gRPC key-value store?

Implement explicit handling using a found flag in the response message or status codes returned by the Get operation. This signals to clients whether a key exists and lets you distinguish between not-found and error conditions.

Can I test a gRPC service locally before deployment?

Yes—write a basic client that connects to your running server and performs round-trip Set and Get operations. This functional test verifies gRPC connectivity, message serialization, and that your server handles requests correctly in a microservice environment.

What's the difference between a gRPC key-value store and REST alternatives?

gRPC uses protobuf binary serialization and HTTP/2 multiplexing for lower latency and smaller payloads compared to JSON-based REST. gRPC is better suited for microservices needing high throughput and strict schema contracts.

Do I need to verify dependencies before building a gRPC service?

Yes—confirm grpcio and grpcio-tools are installed and that protobuf compilation succeeds. Dependency verification catches missing packages early and ensures your generated code matches your service interface.