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agentic-mesh-protocol

CI PyPI Python Version License

Python gRPC interfaces for the Agentic Mesh Protocol.

Installation

pip install agentic-mesh-protocol

Overview

This package provides Python interfaces generated from Agentic Mesh Protocol Buffer definitions, enabling seamless integration with agentic mesh services via gRPC.

Usage

Basic Import

import agentic_mesh_protocol
from agentic_mesh_protocol.module.v1 import information_pb2, module_service_pb2_grpc

Working with gRPC Services

Example for connecting to a gRPC service:

import grpc
from agentic_mesh_protocol.module.v1 import module_service_pb2_grpc
from agentic_mesh_protocol.module.v1 import information_pb2

# Create a gRPC channel and client stub
channel = grpc.insecure_channel('localhost:50051')
stub = module_service_pb2_grpc.ModuleServiceStub(channel)

# Create a request object
request = information_pb2.GetModuleInputRequest(
    module_id="my-module-id"
)

# Call the service
response = stub.GetModuleInput(request)
print(response)

Development

Prerequisites

  • Python 3.10+
  • uv - Modern Python package management
  • Task - Task runner
  • rsync - For copying generated files

Note: buf and protoc are handled by the submodule via npx, no local installation needed

Setup Development Environment

# Clone the repository with submodules
git clone --recurse-submodules https://github.com/DigitalKin-ai/service-apis-py.git
cd service-apis-py

# Setup development environment
task setup

# Or use the quick dev setup command
task dev

Local Installation & Testing

To test the package locally before publishing:

# Install the package in editable mode
uv pip install -e .

# Or with pip
pip install -e .

# Run the local test script
python test_local.py

To test the package in an isolated environment (simulates a fresh install):

# Using uv (recommended)
uv run --with . --no-project -- python test_local.py

# Or create a fresh venv
python -m venv /tmp/test-amp
source /tmp/test-amp/bin/activate
pip install .
python test_local.py
deactivate
rm -rf /tmp/test-amp

Common Development Tasks

# Generate Python code from protobuf definitions
task gen

# Build the package
task build

# Run tests
task test

# Format code
task fmt

# Lint code
task lint

# Clean build artifacts
task clean

# Bump version
task bump-version -- patch
task bump-version -- minor
task bump-version -- major

Publishing Process

  1. Update code and commit changes
  2. Use the GitHub "Create Release" workflow to bump version (patch, minor, major)
  3. The workflow will automatically create a new release and publish to PyPI

License

This project is licensed under the terms specified in the LICENSE file.

Project links

Data verified by PyPI on Aug 4, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
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  • Released:
Newer release available (1.0.1)

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
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Credits

Author: DigitalKin.ai

GitHub Statistics

Data verified by PyPI on Aug 4, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

Other/Proprietary License

Requires

Python >=3.10

Tags

agent agentic-mesh digitalkin grpc protocol sdk

Classifiers

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