langchain-agent-python/azure.yaml at main · Azure-Samples/langchain-agent-python · GitHub

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# yaml-language-server: $schema=https://raw.githubusercontent.com/Azure/azure-dev/main/schemas/v1.0/azure.yaml.json

name: langchain-agent-mcp
metadata:
  template: langchain-agent-mcp@0.0.1
  description: LangChain agent with Model Context Protocol (MCP) using Azure OpenAI, Container Apps and Azure Functions

infra:
  provider: bicep
  path: ./infra
  module: main

services:
  mcp-server:
    project: ./mcp
    language: python
    host: containerapp
    docker:
      path: ./Dockerfile
      context: ./
  agent:
    project: ./agent
    language: python
    host: containerapp
    docker:
      path: ./Dockerfile
      context: ./

hooks:
  postprovision:
    shell: sh
    run: ./infra/hooks/postprovision.sh
    interactive: true
    # Database seeding is idempotent and not required for infra to be valid.
    # If seeding fails (e.g. local pip/firewall issue), provisioning still succeeds
    # and the user can re-run `azd hooks run postprovision` after fixing the issue.
    continueOnError: true