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Adding an AI Provider to Go Micro

This guide walks you through implementing a new AI model provider for go-micro’s ai package. After following these steps your provider will be available via ai.New("yourprovider") and automatically usable by the MCP gateway, the agent playground, and any service that calls service.Model().

Overview

The ai package uses the same plugin pattern as the rest of go-micro: define an interface, register an implementation, and let users swap providers with a single import. All providers live under ai/<name>/.

Files you will create:

ai/
└── yourprovider/
    ├── yourprovider.go       # Provider implementation
    └── yourprovider_test.go  # Unit tests

Step 1: Implement the ai.Model Interface

Every provider must satisfy ai.Model:

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
}

Skeleton

Create ai/yourprovider/yourprovider.go:

package yourprovider

import (
    "bytes"
    "context"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
    "strings"

    "go-micro.dev/v5/ai"
)

func init() {
    ai.Register("yourprovider", func(opts ...ai.Option) ai.Model {
        return NewProvider(opts...)
    })
}

type Provider struct {
    opts ai.Options
}

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

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

func (p *Provider) Options() ai.Options { return p.opts }
func (p *Provider) String() string      { return "yourprovider" }

Generate

Generate is the core method. It must:

  1. Convert req.Tools into the provider’s native tool format.
  2. Send the request to the provider API.
  3. Parse the response into ai.Response (text in Reply, tool calls in ToolCalls).
  4. If p.opts.ToolHandler is set and there are tool calls, execute each tool and make a follow-up API call to get the final answer in Answer.
func (p *Provider) Generate(ctx context.Context, req *ai.Request, opts ...ai.GenerateOption) (*ai.Response, error) {
    // 1. Build provider-specific tool definitions
    var tools []map[string]any
    for _, t := range req.Tools {
        tools = append(tools, map[string]any{
            // Map to your provider's schema
            "name":        t.Name,
            "description": t.Description,
            "parameters":  map[string]any{
                "type":       "object",
                "properties": t.Properties,
            },
        })
    }

    // 2. Build the API request body
    apiReq := map[string]any{
        "model":    p.opts.Model,
        "messages": []map[string]any{
            {"role": "system", "content": req.SystemPrompt},
            {"role": "user", "content": req.Prompt},
        },
    }
    if len(tools) > 0 {
        apiReq["tools"] = tools
    }

    // 3. Call the API
    resp, rawMsg, err := p.callAPI(ctx, apiReq)
    if err != nil {
        return nil, err
    }

    // 4. No tool calls → return immediately
    if len(resp.ToolCalls) == 0 {
        return resp, nil
    }

    // 5. Execute tools and follow up
    if p.opts.ToolHandler != nil {
        // ... build follow-up messages with tool results ...
        followUpResp, _, err := p.callAPI(ctx, followUpReq)
        if err == nil && followUpResp.Reply != "" {
            resp.Answer = followUpResp.Reply
        }
    }

    return resp, nil
}

Stream

If streaming is not supported yet, return a clear error:

func (p *Provider) Stream(ctx context.Context, req *ai.Request, opts ...ai.GenerateOption) (ai.Stream, error) {
    return nil, fmt.Errorf("streaming not yet implemented for yourprovider")
}

API Helper

Use net/http directly — no external SDK needed:

func (p *Provider) callAPI(ctx context.Context, req map[string]any) (*ai.Response, map[string]any, error) {
    reqBody, err := json.Marshal(req)
    if err != nil {
        return nil, nil, fmt.Errorf("failed to marshal request: %w", err)
    }

    apiURL := strings.TrimRight(p.opts.BaseURL, "/") + "/v1/chat/completions"
    httpReq, err := http.NewRequestWithContext(ctx, "POST", apiURL, bytes.NewReader(reqBody))
    if err != nil {
        return nil, nil, fmt.Errorf("failed to create request: %w", err)
    }

    httpReq.Header.Set("Content-Type", "application/json")
    httpReq.Header.Set("Authorization", "Bearer "+p.opts.APIKey)

    httpResp, err := http.DefaultClient.Do(httpReq)
    if err != nil {
        return nil, nil, fmt.Errorf("API request failed: %w", err)
    }
    defer httpResp.Body.Close()

    respBody, _ := io.ReadAll(httpResp.Body)
    if httpResp.StatusCode != 200 {
        return nil, nil, fmt.Errorf("API error (%s): %s", httpResp.Status, string(respBody))
    }

    // Parse your provider's response format into ai.Response
    // ...
}

Step 2: Write Tests

Create ai/yourprovider/yourprovider_test.go. At minimum test:

package yourprovider

import (
    "context"
    "testing"

    "go-micro.dev/v5/ai"
)

func TestProvider_String(t *testing.T) {
    p := NewProvider()
    if p.String() != "yourprovider" {
        t.Errorf("got %q, want %q", p.String(), "yourprovider")
    }
}

func TestProvider_Defaults(t *testing.T) {
    p := NewProvider()
    opts := p.Options()
    if opts.Model != "your-default-model" {
        t.Errorf("default model = %q, want %q", opts.Model, "your-default-model")
    }
    if opts.BaseURL != "https://api.yourprovider.com" {
        t.Errorf("default base URL = %q", opts.BaseURL)
    }
}

func TestProvider_Init(t *testing.T) {
    p := NewProvider()
    if err := p.Init(ai.WithModel("custom"), ai.WithAPIKey("key")); err != nil {
        t.Fatalf("Init: %v", err)
    }
    if p.Options().Model != "custom" {
        t.Errorf("model not updated")
    }
}

func TestProvider_Generate_NoAPIKey(t *testing.T) {
    p := NewProvider()
    _, err := p.Generate(context.Background(), &ai.Request{Prompt: "hi"})
    if err == nil {
        t.Error("expected error without API key")
    }
}

func TestProvider_Stream_NotImplemented(t *testing.T) {
    p := NewProvider()
    _, err := p.Stream(context.Background(), &ai.Request{Prompt: "hi"})
    if err == nil {
        t.Error("expected error for unimplemented streaming")
    }
}

Run:

go test ./ai/yourprovider/...

Step 3: Register the Provider

The init() function in your package calls ai.Register. Users enable your provider with a blank import:

import _ "go-micro.dev/v5/ai/yourprovider"

Then use it:

m := ai.New("yourprovider",
    ai.WithAPIKey("your-api-key"),
    ai.WithModel("your-model-name"),
)

resp, err := m.Generate(ctx, &ai.Request{
    Prompt:       "Hello!",
    SystemPrompt: "You are a helpful assistant",
})

Step 4: Update the README

Add your provider to the Supported AI Providers section in the project README.md. Follow the existing format:

### YourProvider

```go
m := ai.New("yourprovider",
    ai.WithAPIKey("your-key"),
    ai.WithModel("your-default-model"),
)

Default model: your-default-model Default base URL: https://api.yourprovider.com ```

Also add an entry in ai/README.md under “Supported Providers”.

Checklist

Before submitting your PR:

Design Notes

Why net/http instead of an SDK? Keeping providers dependency-free means go get go-micro.dev/v5 never pulls in heavy SDK trees. All existing providers (Anthropic, OpenAI) use raw HTTP for the same reason.

OpenAI-compatible APIs. Many providers (Together, Groq, Fireworks, Atlas Cloud, etc.) expose an OpenAI-compatible /v1/chat/completions endpoint. In that case, users can often just use the openai provider with ai.WithBaseURL("https://api.yourprovider.com"). A dedicated provider package is only needed when the API differs or you want to set provider-specific defaults.

Tool call loop. The current contract is one round of tool execution: Generate calls tools via ToolHandler, feeds results back, and returns the final answer. Multi-turn agentic loops are handled at a higher level (e.g. the MCP gateway).

Sponsorship

If you are an AI infrastructure company interested in becoming a supported provider, we welcome both code contributions and sponsorships. See the Supported AI Providers section in the project README for current partners, and reach out via a GitHub issue or the Discord community to discuss integration.