Files
go-micro/ai/anthropic/anthropic.go
T
Asim AslamandClaude 76bfeae456 Claude/update docs roadmap f zd2 j (#2880)
* docs: update all four documentation guides and mark Q2 complete

- ai-native-services: add WithMCP one-liner, standalone gateway,
  WebSocket client example, and OpenTelemetry observability section
- mcp-security: add OTel distributed tracing, WebSocket authentication
  (connection-level and per-message), DeniedReason audit field
- tool-descriptions: add manual overrides with WithEndpointDocs and
  export formats section
- agent-patterns: add LangChain/LlamaIndex SDK pattern and standalone
  gateway production pattern with Docker example
- Update roadmap: mark Q2 documentation as complete, Q2 at 100%
- Update status: reflect all recent completions, shift priorities

https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc

* feat: add agent demo example and blog post

Add examples/agent-demo with a multi-service project management app
(projects, tasks, team) that demonstrates AI agents interacting with
Go Micro services through MCP. Includes seed data and example prompts.

Add blog post 4 "Agents Meet Microservices: A Hands-On Demo" walking
through the example code and showing cross-service agent workflows.

https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc

* feat: enable multiple services in a single binary

Remove global state mutations from service and cmd option functions so
that configuring one service no longer overwrites another's settings.

Key changes:
- service/options.go: remove all DefaultXxx global writes from option
  functions; newOptions() now creates fresh Server, Client, Store, and
  Cache per service while sharing Registry, Broker, and Transport
- cmd/cmd.go: newCmd() uses local copies instead of pointers to package
  globals; Before() no longer mutates DefaultXxx vars
- cmd/options.go: remove global mutations from all option functions
- service/service.go: export ServiceImpl type for cross-package use
- service/group.go: new Group type for multi-service lifecycle
- micro.go: add Start/Stop to Service interface, expose Group and
  NewGroup convenience function
- examples/multi-service: working example with two services

https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc

* docs: highlight multi-service binary support

Add multi-service section to README with code example, update features
list, add to examples index, and note in status summary.

https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc

* feat: unify service API and clean up developer experience

- Unified service creation: micro.New("name", opts...) as canonical API
- Clean handler registration: service.Handle(handler, opts...) accepts
  server.HandlerOption args directly, no need to reach through Server()
- Unexported serviceImpl: users interact through Service interface only
- Service groups use Service interface (not concrete type)
- Fixed Stop() to properly propagate BeforeStop/AfterStop errors
- Fixed store init: error-level log instead of fatal on init failure
- Updated all examples to use consistent patterns
- Updated README, getting-started, MCP docs, and guides
- Added blog post about the DX cleanup

https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc

* fix: add blog post 5 to blog index

Blog post 5 (Developer Experience Cleanup) existed as a file but was
missing from the blog index page.

https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc

* feat: make micro new generate MCP-enabled services by default

- main.go template includes mcp.WithMCP(":3001") by default
- Handler template has agent-friendly doc comments with @example tags
- Proto template has descriptive field comments
- README includes MCP usage, Claude Code config, and tool description tips
- Makefile adds mcp-tools, mcp-test, mcp-serve targets
- go.mod updated to Go 1.22
- Added --no-mcp flag to opt out of MCP integration
- Post-create output shows MCP endpoint URLs

https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc

* docs: add MCP migration guide and troubleshooting guide

- Migration guide: 3 approaches to add MCP to existing services
  (WithMCP one-liner, standalone gateway, CLI)
- Troubleshooting guide: common issues with agents, WebSocket,
  Claude Code, auth, rate limiting, and performance

https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc

* refactor: rename model/ package to ai/ for AI model providers

The model/ package name conflicted with the conventional use of "model"
for data models. Renamed to ai/ which better describes the package's
purpose (AI provider abstraction for Anthropic, OpenAI, etc.) and frees
up model/ for future data model layer use.

- Rename model/ → ai/ with package name change
- Update all Go imports from go-micro.dev/v5/model to go-micro.dev/v5/ai
- Update cmd/micro/server/server.go references (model.X → ai.X)
- Update all documentation and roadmap references
- All tests pass, CLI builds successfully

https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc

* feat: add model package for typed data access with CRUD and queries

New model/ package provides a typed data model layer using Go generics.
Supports structured CRUD operations, WHERE filters, ordering, pagination,
and automatic schema creation from struct tags.

Three backends:
- memory: in-memory for development and testing
- sqlite: embedded SQL for dev and single-node production
- postgres: full PostgreSQL for production deployments

Key features:
- Generic Model[T] with Create/Read/Update/Delete/List/Count
- Query builder: Where(), WhereOp(), OrderAsc/Desc(), Limit(), Offset()
- Struct tags: model:"key" for primary key, model:"index" for indexes
- Auto table creation from struct schema
- 19 tests passing across memory and sqlite backends

https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc

* feat: add model code generation to protoc-gen-micro

Extend the micro plugin to generate model structs from proto messages
annotated with // @model. Generated alongside client/server code in
the same .pb.micro.go file.

For a proto message like:
  // @model
  message User { string id = 1; string name = 2; }

Generates:
- UserModel struct with model:"key" and json tags
- NewUserModel(db) factory returning *model.Model[UserModel]
- UserModelFromProto(*User) *UserModel converter
- (*UserModel).ToProto() *User converter

Supports @model(table=custom_table, key=custom_field) options.
Adds GetComments() to generator for plugin comment inspection.

https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc

* feat: add Model() to Service interface for Client/Server/Model trifecta

Every service now exposes Client(), Server(), and Model() — call services,
handle requests, and save/query data from the same interface. Includes
README docs, blog post, and a full model guide on the docs site.

https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc

---------

Co-authored-by: Claude <noreply@anthropic.com>
2026-03-04 13:13:34 +00:00

228 lines
5.6 KiB
Go

// Package anthropic implements the Anthropic Claude model provider
package anthropic
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"go-micro.dev/v5/ai"
)
func init() {
ai.Register("anthropic", func(opts ...ai.Option) ai.Model {
return NewProvider(opts...)
})
}
// Provider implements the ai.Model interface for Anthropic Claude
type Provider struct {
opts ai.Options
}
// NewProvider creates a new Anthropic provider
func NewProvider(opts ...ai.Option) *Provider {
options := ai.NewOptions(opts...)
// Set defaults if not provided
if options.Model == "" {
options.Model = "claude-sonnet-4-20250514"
}
if options.BaseURL == "" {
options.BaseURL = "https://api.anthropic.com"
}
return &Provider{
opts: options,
}
}
// Init initializes the provider with options
func (p *Provider) Init(opts ...ai.Option) error {
for _, o := range opts {
o(&p.opts)
}
return nil
}
// Options returns the provider options
func (p *Provider) Options() ai.Options {
return p.opts
}
// String returns the provider name
func (p *Provider) String() string {
return "anthropic"
}
// Generate generates a response from the model
func (p *Provider) Generate(ctx context.Context, req *ai.Request, opts ...ai.GenerateOption) (*ai.Response, error) {
// Build tools for Anthropic format
var anthropicTools []map[string]any
for _, t := range req.Tools {
anthropicTools = append(anthropicTools, map[string]any{
"name": t.Name,
"description": t.Description,
"input_schema": map[string]any{
"type": "object",
"properties": t.Properties,
},
})
}
// Build initial request
apiReq := map[string]any{
"model": p.opts.Model,
"max_tokens": 4096,
"system": req.SystemPrompt,
"messages": []map[string]any{
{"role": "user", "content": req.Prompt},
},
}
if len(anthropicTools) > 0 {
apiReq["tools"] = anthropicTools
}
// Make API call
resp, rawContent, err := p.callAPI(ctx, apiReq)
if err != nil {
return nil, err
}
// If no tool calls, return response
if len(resp.ToolCalls) == 0 {
return resp, nil
}
// If tool handler is provided, execute tools and get final answer
if p.opts.ToolHandler != nil {
var toolResults []ai.ToolResult
for _, tc := range resp.ToolCalls {
_, content := p.opts.ToolHandler(tc.Name, tc.Input)
toolResults = append(toolResults, ai.ToolResult{
ID: tc.ID,
Content: content,
})
}
// Build follow-up request with tool results
var toolResultBlocks []map[string]any
for _, tr := range toolResults {
toolResultBlocks = append(toolResultBlocks, map[string]any{
"type": "tool_result",
"tool_use_id": tr.ID,
"content": tr.Content,
})
}
followUpReq := map[string]any{
"model": p.opts.Model,
"max_tokens": 4096,
"system": req.SystemPrompt,
"messages": []map[string]any{
{"role": "user", "content": req.Prompt},
{"role": "assistant", "content": rawContent},
{"role": "user", "content": toolResultBlocks},
},
}
// Make follow-up API call
followUpResp, _, err := p.callAPI(ctx, followUpReq)
if err == nil && followUpResp.Reply != "" {
resp.Answer = followUpResp.Reply
}
}
return resp, nil
}
// Stream generates a streaming response (not yet implemented)
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 anthropic provider")
}
// callAPI makes an HTTP request to the Anthropic API
func (p *Provider) callAPI(ctx context.Context, req map[string]any) (*ai.Response, any, error) {
// Marshal request
reqBody, err := json.Marshal(req)
if err != nil {
return nil, nil, fmt.Errorf("failed to marshal request: %w", err)
}
// Build HTTP request
apiURL := strings.TrimRight(p.opts.BaseURL, "/") + "/v1/messages"
httpReq, err := http.NewRequestWithContext(ctx, "POST", apiURL, bytes.NewReader(reqBody))
if err != nil {
return nil, nil, fmt.Errorf("failed to create request: %w", err)
}
// Set headers
httpReq.Header.Set("Content-Type", "application/json")
httpReq.Header.Set("x-api-key", p.opts.APIKey)
httpReq.Header.Set("anthropic-version", "2023-06-01")
// Make request
httpResp, err := http.DefaultClient.Do(httpReq)
if err != nil {
return nil, nil, fmt.Errorf("API request failed: %w", err)
}
defer httpResp.Body.Close()
// Read response
respBody, _ := io.ReadAll(httpResp.Body)
if httpResp.StatusCode != 200 {
return nil, nil, fmt.Errorf("API error (%s): %s", httpResp.Status, string(respBody))
}
// Parse response
var anthropicResp struct {
Content []struct {
Type string `json:"type"`
Text string `json:"text"`
ID string `json:"id"`
Name string `json:"name"`
Input json.RawMessage `json:"input"`
} `json:"content"`
StopReason string `json:"stop_reason"`
}
if err := json.Unmarshal(respBody, &anthropicResp); err != nil {
return nil, nil, fmt.Errorf("failed to parse response: %w", err)
}
response := &ai.Response{}
// Extract text reply
var replyParts []string
for _, block := range anthropicResp.Content {
if block.Type == "text" && block.Text != "" {
replyParts = append(replyParts, block.Text)
}
}
if len(replyParts) > 0 {
response.Reply = strings.Join(replyParts, "\n")
}
// Extract tool calls
for _, block := range anthropicResp.Content {
if block.Type == "tool_use" {
var input map[string]any
if err := json.Unmarshal(block.Input, &input); err != nil {
input = map[string]any{}
}
response.ToolCalls = append(response.ToolCalls, ai.ToolCall{
ID: block.ID,
Name: block.Name,
Input: input,
})
}
}
return response, anthropicResp.Content, nil
}