项目文件夹

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Asim Aslam 1bc886fa82 Introduce Agent abstraction and integrate with chat router (#2939)
* docs: Agent interface design sketch

Proposes Agent as a top-level abstraction alongside Service in the
micro package. Agent manages services — scoped tools, system prompt,
conversation memory, registry-discoverable.

Design only, no implementation.

https://claude.ai/code/session_01QTp4SshuVmLAvvEGJe4TJd

* feat: Agent as a first-class abstraction

Introduce micro.NewAgent() alongside micro.New() — Agent is to
intelligence what Service is to capability.

Agent interface:
- Chat(ctx, message) (*Response, error) — core interaction method
- Run() — registers in registry, subscribes to broker, blocks
- Stop() — graceful shutdown
- Scoped tools — only sees endpoints of its assigned services
- Persistent memory — conversation history stored in store
- Agent-to-agent — communication via broker topics

Top-level API:
  agent := micro.NewAgent("task-mgr",
      micro.AgentServices("task"),
      micro.AgentPrompt("You manage tasks."),
      micro.AgentProvider("anthropic"),
  )
  agent.Run()

https://claude.ai/code/session_01QTp4SshuVmLAvvEGJe4TJd

* feat: wire agents into chat router, add micro agent CLI, expose Flow

Three top-level abstractions:
  micro.New("task")              — Service (capability)
  micro.NewAgent("task-mgr")     — Agent (intelligence)
  micro.NewFlow("onboard-user")  — Flow (event-driven orchestration)

micro chat as router:
- Discovers agents from registry on startup
- Single agent: routes directly
- Multiple agents: LLM classifies intent, dispatches to right agent
  via route_to_agent tool
- No agents: falls back to current direct-service behaviour
- Banner shows discovered agents

micro agent CLI:
- micro agent list — shows registered agents and their services
- micro agent describe <name> — shows agent details from registry

https://claude.ai/code/session_01QTp4SshuVmLAvvEGJe4TJd

* feat: move flow to top level, update docs for three abstractions

Package structure now consistent:
  service/   — Service (capability)
  agent/     — Agent (intelligence)
  flow/      — Flow (event-driven orchestration)

ai/flow/ kept as backward-compatible re-export.

Updated across all surfaces:
- CLAUDE.md: added agent/ and flow/ to project structure
- README: added "Building Agents" section with NewAgent() examples,
  updated features table (Agents, Flows, Chat router), CLI table
  (agent list, agent describe), docs links
- Website: features grid shows Services, Agents, Flows as the three
  pillars alongside generation, MCP, and pluggable architecture
- micro.go: Flow imported from top-level flow/ package

https://claude.ai/code/session_01QTp4SshuVmLAvvEGJe4TJd

* docs: rewrite getting-started, fix ai-integration import paths

Getting started now covers all three abstractions:
- Service (write handlers, micro run, templates)
- Agent (micro.NewAgent, scoped tools, memory, CLI)
- Flow (event-driven LLM orchestration)
Leads with prompt-based generation, then manual service creation.

ai-integration.md: fixed flow import path from go-micro.dev/v5/ai/flow
to go-micro.dev/v5/flow, updated stack diagram to show agent/flow/chat.

https://claude.ai/code/session_01QTp4SshuVmLAvvEGJe4TJd

* blog: Introducing micro.NewAgent()

Post 16 — announces Agent as a first-class abstraction. Shows the
API (NewAgent, AgentServices, AgentPrompt, AgentProvider), scoped
tools, persistent memory, multi-service agents, multi-agent systems,
and the three-abstraction comparison table (Service/Agent/Flow).

https://claude.ai/code/session_01QTp4SshuVmLAvvEGJe4TJd

* feat: fix agent registration, blog post 16

Agent registration:
- Add node with address so mDNS can discover agents
- Store type and services in node metadata (mDNS requirement)
- Connect broker before subscribing, non-fatal if broker unavailable
- Print registration confirmation on Run()

Agent/chat discovery:
- Check both service-level and node-level metadata for type=agent
  (mDNS stores metadata on nodes, not services)

Blog post 16: "Introducing micro.NewAgent()" — announces the Agent
abstraction with code examples, comparison table, multi-agent patterns.

Tested end-to-end: micro run → micro agent list discovers the agent →
micro chat routes to it → agent calls service endpoints.

https://claude.ai/code/session_01QTp4SshuVmLAvvEGJe4TJd

* feat: agents are proper services with RPC Chat endpoint

Refactored agent to use server.Server instead of fake registry entries.
An agent now:
- Creates a real RPC server with server.Name(agentName)
- Registers an Agent.Chat handler callable via standard RPC
- Sets server metadata type=agent, services=x,y for discovery
- No more fake addresses or broker hacks

micro chat calls agents via RPC (client.Call) instead of creating
local agent instances. The registry stays clean — agents are real
services with real endpoints.

Removed broker dependency from agent options. Agent-to-agent
communication is just RPC like everything else.

https://claude.ai/code/session_01QTp4SshuVmLAvvEGJe4TJd

* feat: agent uses proto-defined RPC interface

Added agent/proto/agent.proto with Agent service definition:
  rpc Chat(ChatRequest) returns (ChatResponse)

Agent now implements the generated AgentHandler interface and
registers via pb.RegisterAgentHandler. The Chat endpoint is a
standard proto-based RPC callable by any go-micro client.

Renamed the programmatic API from Chat() to Ask() to avoid
collision with the proto handler method name.

micro chat calls agents via standard RPC with JSON-encoded
request/response — no special types needed on the caller side.

https://claude.ai/code/session_01QTp4SshuVmLAvvEGJe4TJd

* feat: generate agent alongside services, update all docs

micro run --prompt now generates an agent binary that manages all
the generated services. The agent reads MICRO_AI_PROVIDER and
MICRO_AI_API_KEY from the environment. micro run propagates these
when started with --prompt.

Run banner shows services and agents separately.

Updated README, getting-started guide, and landing page to show
the complete flow: generate → services + agent start → micro chat
routes to agent → agent orchestrates services.

https://claude.ai/code/session_01QTp4SshuVmLAvvEGJe4TJd

---------

Co-authored-by: Claude <noreply@anthropic.com>
2026-06-05 10:25:14 +01:00
..
2026-02-04 14:37:29 +00:00
2026-02-04 14:37:40 +00:00
.
2026-02-12 09:56:19 +00:00

Micro License

A Go microservices toolkit

Overview

Micro is a toolkit for Go microservices development. It provides the foundation for building services in the cloud. The core of Micro is the Go Micro framework, which developers import and use in their code to write services. Surrounding this we introduce a number of tools to make it easy to serve and consume services.

Install the CLI

Install micro via go install

go install go-micro.dev/v5/cmd/micro@v5.16.0

Note: Use a specific version instead of @latest to avoid module path conflicts. See releases for the latest version.

Or via install script

wget -q  https://raw.githubusercontent.com/micro/micro/master/scripts/install.sh -O - | /bin/bash

For releases see the latest tag

Create a service

Create your service (all setup is now automatic!):

micro new helloworld

This will:

  • Create a new service in the helloworld directory
  • Automatically run go mod tidy and make proto for you
  • Show the updated project tree including generated files
  • Warn you if protoc is not installed, with install instructions

Run the service

Run the service

micro run

List services to see it's running and registered itself

micro services

Describe the service

Describe the service to see available endpoints

micro describe helloworld

Output

{
    "name": "helloworld",
    "version": "latest",
    "metadata": null,
    "endpoints": [
        {
            "request": {
                "name": "Request",
                "type": "Request",
                "values": [
                    {
                        "name": "name",
                        "type": "string",
                        "values": null
                    }
                ]
            },
            "response": {
                "name": "Response",
                "type": "Response",
                "values": [
                    {
                        "name": "msg",
                        "type": "string",
                        "values": null
                    }
                ]
            },
            "metadata": {},
            "name": "Helloworld.Call"
        },
        {
            "request": {
                "name": "Context",
                "type": "Context",
                "values": null
            },
            "response": {
                "name": "Stream",
                "type": "Stream",
                "values": null
            },
            "metadata": {
                "stream": "true"
            },
            "name": "Helloworld.Stream"
        }
    ],
    "nodes": [
        {
            "metadata": {
                "broker": "http",
                "protocol": "mucp",
                "registry": "mdns",
                "server": "mucp",
                "transport": "http"
            },
            "id": "helloworld-31e55be7-ac83-4810-89c8-a6192fb3ae83",
            "address": "127.0.0.1:39963"
        }
    ]
}

Call the service

Call via RPC endpoint

micro call helloworld Helloworld.Call '{"name": "Asim"}'

Create a client

Create a client to call the service

package main

import (
        "context"
        "fmt"

        "go-micro.dev/v5"
)

type Request struct {
        Name string
}

type Response struct {
        Message string
}

func main() {
        client := micro.New("helloworld").Client()

        req := client.NewRequest("helloworld", "Helloworld.Call", &Request{Name: "John"})

        var rsp Response

        err := client.Call(context.TODO(), req, &rsp)
        if err != nil {
                fmt.Println(err)
                return
        }

        fmt.Println(rsp.Message)
}

Protobuf

Use protobuf for code generation with protoc-gen-micro

Server

The micro server is an api and web dashboard that provide a fixed entrypoint for seeing and querying services.

Run it like so

micro server

Then browse to localhost:8080

API Endpoints

The API provides a fixed HTTP entrypoint for calling services

curl http://localhost:8080/api/helloworld/Helloworld/Call -d '{"name": "John"}'

See /api for more details and documentation for each service

Web Dashboard

The web dashboard provides a modern, secure UI for managing and exploring your Micro services. Major features include:

  • Dynamic Service & Endpoint Forms: Browse all registered services and endpoints. For each endpoint, a dynamic form is generated for easy testing and exploration.
  • API Documentation: The /api page lists all available services and endpoints, with request/response schemas and a sidebar for quick navigation. A documentation banner explains authentication requirements.
  • JWT Authentication: All login and token management uses a custom JWT utility. Passwords are securely stored with bcrypt. All /api/x endpoints and authenticated pages require an Authorization: Bearer <token> header (or micro_token cookie as fallback).
  • Token Management: The /auth/tokens page allows you to generate, view (obfuscated), and copy JWT tokens. Tokens are stored and can be revoked. When a user is deleted, all their tokens are revoked immediately.
  • User Management: The /auth/users page allows you to create, list, and delete users. Passwords are never shown or stored in plaintext.
  • Token Revocation: JWT tokens are stored and checked for revocation on every request. Revoked or deleted tokens are immediately invalidated.
  • Security: All protected endpoints use consistent authentication logic. Unauthorized or revoked tokens receive a 401 error. All sensitive actions require authentication.
  • Logs & Status: View service logs and status (PID, uptime, etc) directly from the dashboard.

To get started, run:

micro server

Then browse to localhost:8080 and log in with the default admin account (admin/micro).

Note: See the /api page for details on API authentication and how to generate tokens for use with the HTTP API