项目文件夹

文件
Copilot e110ccb5ff Refactor model interface to high-level idiomatic Go API (#2863)
* Initial plan

* Add model package with provider abstraction interface

Co-authored-by: asim <17530+asim@users.noreply.github.com>

* Add unit tests for model providers

Co-authored-by: asim <17530+asim@users.noreply.github.com>

* Refactor server to use model package abstraction

Co-authored-by: asim <17530+asim@users.noreply.github.com>

* Use strings.Contains instead of custom substring search

Co-authored-by: asim <17530+asim@users.noreply.github.com>

* Add comprehensive documentation for model package

Co-authored-by: asim <17530+asim@users.noreply.github.com>

* Refactor model interface to be more idiomatic Go

Co-authored-by: asim <17530+asim@users.noreply.github.com>

* Simplify server code to use new high-level Generate API

Co-authored-by: asim <17530+asim@users.noreply.github.com>

* Update documentation for new high-level model API

Co-authored-by: asim <17530+asim@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: asim <17530+asim@users.noreply.github.com>
2026-02-14 18:15:07 +00:00
..

Model Package

The model package provides a simple, high-level interface for AI model providers like Anthropic Claude and OpenAI GPT.

Interface

The Model interface follows the same patterns as other go-micro packages (Registry, Client, Broker):

type Model interface {
    Init(...Option) error
    Options() Options
    Generate(ctx context.Context, req *Request, opts ...GenerateOption) (*Response, error)
    Stream(ctx context.Context, req *Request, opts ...GenerateOption) (Stream, error)
    String() string
}

Quick Start

import (
    "context"
    "go-micro.dev/v5/model"
    _ "go-micro.dev/v5/model/anthropic"
    _ "go-micro.dev/v5/model/openai"
)

// Create a model
m := model.New("openai",
    model.WithAPIKey("your-api-key"),
    model.WithModel("gpt-4o"),
)

// Generate a response
req := &model.Request{
    Prompt:       "What is Go?",
    SystemPrompt: "You are a helpful programming assistant",
}

resp, err := m.Generate(context.Background(), req)
if err != nil {
    log.Fatal(err)
}

fmt.Println(resp.Reply)

Options

Configure the model using functional options:

m := model.New("anthropic",
    model.WithAPIKey("your-key"),              // Required
    model.WithModel("claude-sonnet-4-20250514"), // Optional, uses provider default
    model.WithBaseURL("https://api.anthropic.com"), // Optional, uses provider default
)

You can also update options after creation:

m.Init(
    model.WithModel("gpt-4o-mini"),
    model.WithAPIKey("new-key"),
)

Using Tools

The model can automatically execute tool calls when provided with a tool handler:

// Define a tool handler
toolHandler := func(name string, input map[string]any) (result any, content string) {
    // Execute the tool and return results
    switch name {
    case "get_weather":
        return map[string]string{"temp": "72F"}, `{"temp": "72F"}`
    default:
        return nil, `{"error": "unknown tool"}`
    }
}

// Create model with tool handler
m := model.New("openai",
    model.WithAPIKey("your-key"),
    model.WithToolHandler(toolHandler),
)

// Provide tools in the request
req := &model.Request{
    Prompt: "What's the weather?",
    SystemPrompt: "You are a helpful assistant",
    Tools: []model.Tool{
        {
            Name:        "get_weather",
            Description: "Get current weather",
            Properties: map[string]any{
                "location": map[string]any{
                    "type": "string",
                    "description": "City name",
                },
            },
        },
    },
}

// Generate will automatically call tools and return final answer
resp, err := m.Generate(context.Background(), req)
fmt.Println(resp.Answer) // Final answer after tool execution

Response Structure

type Response struct {
    Reply     string      // Initial reply from model
    ToolCalls []ToolCall  // Tools the model wants to call
    Answer    string      // Final answer (after tool execution if handler provided)
}
  • Reply: The model's first response
  • ToolCalls: List of tools the model requested (if any)
  • Answer: The final answer after tools are executed (only set if ToolHandler is provided)

Supported Providers

Anthropic Claude

m := model.New("anthropic",
    model.WithAPIKey("sk-ant-..."),
    model.WithModel("claude-sonnet-4-20250514"), // default
)

Default model: claude-sonnet-4-20250514
Default base URL: https://api.anthropic.com

OpenAI GPT

m := model.New("openai",
    model.WithAPIKey("sk-..."),
    model.WithModel("gpt-4o"), // default
)

Default model: gpt-4o
Default base URL: https://api.openai.com

Auto-Detection

Use AutoDetectProvider() to detect the provider from a base URL:

provider := model.AutoDetectProvider("https://api.anthropic.com")
// Returns "anthropic"

m := model.New(provider, model.WithAPIKey("..."))

Adding a New Provider

  1. Create a new package under model/:
package myprovider

import "go-micro.dev/v5/model"

func init() {
    model.Register("myprovider", func(opts ...model.Option) model.Model {
        return NewProvider(opts...)
    })
}

type Provider struct {
    opts model.Options
}

func NewProvider(opts ...model.Option) *Provider {
    options := model.NewOptions(opts...)
    // Set defaults
    if options.Model == "" {
        options.Model = "my-default-model"
    }
    if options.BaseURL == "" {
        options.BaseURL = "https://api.myprovider.com"
    }
    return &Provider{opts: options}
}

func (p *Provider) Init(opts ...model.Option) error {
    for _, o := range opts {
        o(&p.opts)
    }
    return nil
}

func (p *Provider) Options() model.Options {
    return p.opts
}

func (p *Provider) String() string {
    return "myprovider"
}

func (p *Provider) Generate(ctx context.Context, req *model.Request, opts ...model.GenerateOption) (*model.Response, error) {
    // Implement your provider logic
    // - Build API request
    // - Make HTTP call
    // - Parse response
    // - Handle tools if ToolHandler is set
    return &model.Response{}, nil
}

func (p *Provider) Stream(ctx context.Context, req *model.Request, opts ...model.GenerateOption) (model.Stream, error) {
    return nil, fmt.Errorf("streaming not implemented")
}
  1. Import your provider:
import _ "go-micro.dev/v5/model/myprovider"

Comparison with Other Packages

The model package follows the same patterns as other go-micro packages:

Registry:

r := registry.NewRegistry(registry.Addrs("..."))
r.Register(service)

Client:

c := client.NewClient(client.Retries(3))
c.Call(ctx, req, rsp)

Model:

m := model.New("openai", model.WithAPIKey("..."))
m.Generate(ctx, req)

All use:

  • Init() to update options
  • Options() to get current options
  • String() to get the implementation name
  • Functional options pattern

Testing

go test ./model/...

Examples

See the server implementation for a complete example of using the model package with tool execution.