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2026-02-14 17:24:29 +00:00

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Go

// Package openai implements the OpenAI model provider
package openai
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"go-micro.dev/v5/model"
)
func init() {
model.Register("openai", func(opts ...model.Option) model.Model {
return NewProvider(opts...)
})
}
// Provider implements the model.Model interface for OpenAI
type Provider struct {
opts model.Options
}
// NewProvider creates a new OpenAI provider
func NewProvider(opts ...model.Option) *Provider {
options := model.NewOptions(opts...)
// Set defaults if not provided
if options.Model == "" {
options.Model = "gpt-4o"
}
if options.BaseURL == "" {
options.BaseURL = "https://api.openai.com"
}
return &Provider{
opts: options,
}
}
// Init initializes the provider with options
func (p *Provider) Init(opts ...model.Option) error {
for _, o := range opts {
o(&p.opts)
}
return nil
}
// Options returns the provider options
func (p *Provider) Options() model.Options {
return p.opts
}
// String returns the provider name
func (p *Provider) String() string {
return "openai"
}
// Generate generates a response from the model
func (p *Provider) Generate(ctx context.Context, req *model.Request, opts ...model.GenerateOption) (*model.Response, error) {
// Build tools for OpenAI format
var openaiTools []map[string]any
for _, t := range req.Tools {
openaiTools = append(openaiTools, map[string]any{
"type": "function",
"function": map[string]any{
"name": t.Name,
"description": t.Description,
"parameters": map[string]any{
"type": "object",
"properties": t.Properties,
},
},
})
}
// Build messages
messages := []map[string]any{
{"role": "system", "content": req.SystemPrompt},
{"role": "user", "content": req.Prompt},
}
// Build initial request
apiReq := map[string]any{
"model": p.opts.Model,
"messages": messages,
}
if len(openaiTools) > 0 {
apiReq["tools"] = openaiTools
}
// Make API call
resp, rawMessage, 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 {
// Build follow-up messages
followUpMessages := append(messages, map[string]any{
"role": "assistant",
"content": rawMessage["content"],
"tool_calls": rawMessage["tool_calls"],
})
for _, tc := range resp.ToolCalls {
_, content := p.opts.ToolHandler(tc.Name, tc.Input)
followUpMessages = append(followUpMessages, map[string]any{
"role": "tool",
"tool_call_id": tc.ID,
"content": content,
})
}
followUpReq := map[string]any{
"model": p.opts.Model,
"messages": followUpMessages,
}
// 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 *model.Request, opts ...model.GenerateOption) (model.Stream, error) {
return nil, fmt.Errorf("streaming not yet implemented for openai provider")
}
// callAPI makes an HTTP request to the OpenAI API
func (p *Provider) callAPI(ctx context.Context, req map[string]any) (*model.Response, map[string]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/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)
}
// Set headers
httpReq.Header.Set("Content-Type", "application/json")
httpReq.Header.Set("Authorization", "Bearer "+p.opts.APIKey)
// 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 chatResp struct {
Choices []struct {
Message struct {
Content string `json:"content"`
ToolCalls []struct {
ID string `json:"id"`
Function struct {
Name string `json:"name"`
Arguments string `json:"arguments"`
} `json:"function"`
} `json:"tool_calls"`
} `json:"message"`
} `json:"choices"`
}
if err := json.Unmarshal(respBody, &chatResp); err != nil {
return nil, nil, fmt.Errorf("failed to parse response: %w", err)
}
if len(chatResp.Choices) == 0 {
return nil, nil, fmt.Errorf("no response from API")
}
choice := chatResp.Choices[0]
response := &model.Response{
Reply: choice.Message.Content,
}
// Extract tool calls
for _, tc := range choice.Message.ToolCalls {
var input map[string]any
if err := json.Unmarshal([]byte(tc.Function.Arguments), &input); err != nil {
input = map[string]any{}
}
response.ToolCalls = append(response.ToolCalls, model.ToolCall{
ID: tc.ID,
Name: tc.Function.Name,
Input: input,
})
}
// Return raw message for potential follow-up
rawMessage := map[string]any{
"content": choice.Message.Content,
"tool_calls": choice.Message.ToolCalls,
}
return response, rawMessage, nil
}