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chore: import upstream snapshot with attribution
2026-07-13 12:40:33 +08:00

359 lines
9.1 KiB
Go

// Package gemini implements the Google Gemini model provider.
//
// Usage:
//
// import _ "go-micro.dev/v6/ai/gemini"
//
// m := ai.New("gemini",
// ai.WithAPIKey("your-api-key"),
// )
package gemini
import (
"bufio"
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"go-micro.dev/v6/ai"
)
func init() {
ai.Register("gemini", func(opts ...ai.Option) ai.Model {
return NewProvider(opts...)
})
ai.RegisterStream("gemini")
}
// Provider implements the ai.Model interface for Google Gemini.
type Provider struct {
opts ai.Options
}
// NewProvider creates a new Gemini provider.
func NewProvider(opts ...ai.Option) *Provider {
options := ai.NewOptions(opts...)
if options.Model == "" {
options.Model = "gemini-2.5-flash"
}
if options.BaseURL == "" {
options.BaseURL = "https://generativelanguage.googleapis.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 "gemini" }
func (p *Provider) Generate(ctx context.Context, req *ai.Request, opts ...ai.GenerateOption) (*ai.Response, error) {
var tools []map[string]any
for _, t := range req.Tools {
tools = append(tools, map[string]any{
"name": t.Name,
"description": t.Description,
"parameters": map[string]any{
"type": "object",
"properties": t.Properties,
},
})
}
contents := geminiContents(req)
apiReq := map[string]any{
"contents": contents,
}
if req.SystemPrompt != "" {
apiReq["system_instruction"] = map[string]any{
"parts": []map[string]any{{"text": req.SystemPrompt}},
}
}
if len(tools) > 0 {
apiReq["tools"] = []map[string]any{
{"functionDeclarations": tools},
}
}
resp, rawParts, err := p.callAPI(ctx, apiReq)
if err != nil {
return nil, err
}
if len(resp.ToolCalls) == 0 {
return resp, nil
}
if p.opts.ToolHandler != nil {
var resultParts []map[string]any
for _, tc := range resp.ToolCalls {
result := p.opts.ToolHandler(ctx, tc).Value
resultParts = append(resultParts, map[string]any{
"functionResponse": map[string]any{
"name": tc.Name,
"id": tc.ID,
"response": result,
},
})
}
followUpContents := append(contents,
map[string]any{"role": "model", "parts": rawParts},
map[string]any{"role": "user", "parts": resultParts},
)
followUpReq := map[string]any{
"contents": followUpContents,
}
if req.SystemPrompt != "" {
followUpReq["system_instruction"] = map[string]any{
"parts": []map[string]any{{"text": req.SystemPrompt}},
}
}
followUpResp, _, err := p.callAPI(ctx, followUpReq)
if err == nil && followUpResp.Reply != "" {
resp.Answer = followUpResp.Reply
}
}
return resp, nil
}
func (p *Provider) Stream(ctx context.Context, req *ai.Request, opts ...ai.GenerateOption) (ai.Stream, error) {
apiReq := map[string]any{
"contents": geminiContents(req),
}
if req.SystemPrompt != "" {
apiReq["system_instruction"] = map[string]any{
"parts": []map[string]any{{"text": req.SystemPrompt}},
}
}
if p.opts.MaxTokens > 0 {
apiReq["generationConfig"] = map[string]any{"maxOutputTokens": p.opts.MaxTokens}
}
reqBody, err := json.Marshal(apiReq)
if err != nil {
return nil, fmt.Errorf("failed to marshal stream request: %w", err)
}
apiURL := strings.TrimRight(p.opts.BaseURL, "/") +
"/v1beta/models/" + p.opts.Model + ":streamGenerateContent?alt=sse"
httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, apiURL, bytes.NewReader(reqBody))
if err != nil {
return nil, fmt.Errorf("failed to create stream request: %w", err)
}
httpReq.Header.Set("Content-Type", "application/json")
httpReq.Header.Set("Accept", "text/event-stream")
httpReq.Header.Set("x-goog-api-key", p.opts.APIKey)
httpResp, err := http.DefaultClient.Do(httpReq)
if err != nil {
return nil, fmt.Errorf("stream API request failed: %w", err)
}
if httpResp.StatusCode != http.StatusOK {
defer httpResp.Body.Close()
respBody, _ := io.ReadAll(httpResp.Body)
return nil, ai.NewHTTPError(httpResp, respBody)
}
return &streamReader{body: httpResp.Body, scanner: bufio.NewScanner(httpResp.Body)}, nil
}
type streamReader struct {
body io.ReadCloser
scanner *bufio.Scanner
closed bool
}
func (s *streamReader) Recv() (*ai.Response, error) {
for s.scanner.Scan() {
line := strings.TrimSpace(s.scanner.Text())
if line == "" || strings.HasPrefix(line, ":") || strings.HasPrefix(line, "event:") {
continue
}
if !strings.HasPrefix(line, "data:") {
continue
}
data := strings.TrimSpace(strings.TrimPrefix(line, "data:"))
if data == "[DONE]" {
return nil, io.EOF
}
var chunk struct {
Error *struct {
Code int `json:"code"`
Message string `json:"message"`
Status string `json:"status"`
} `json:"error"`
Candidates []struct {
Content struct {
Parts []struct {
Text string `json:"text"`
} `json:"parts"`
} `json:"content"`
} `json:"candidates"`
UsageMetadata *struct {
PromptTokenCount int `json:"promptTokenCount"`
CandidatesTokenCount int `json:"candidatesTokenCount"`
TotalTokenCount int `json:"totalTokenCount"`
} `json:"usageMetadata"`
}
if err := json.Unmarshal([]byte(data), &chunk); err != nil {
return nil, fmt.Errorf("failed to parse stream chunk: %w", err)
}
if chunk.Error != nil {
return nil, fmt.Errorf("gemini stream error (%s): %s", chunk.Error.Status, chunk.Error.Message)
}
for _, candidate := range chunk.Candidates {
var parts []string
for _, part := range candidate.Content.Parts {
if part.Text != "" {
parts = append(parts, part.Text)
}
}
if len(parts) > 0 {
return &ai.Response{Reply: strings.Join(parts, "")}, nil
}
}
if chunk.UsageMetadata != nil {
return &ai.Response{Usage: ai.Usage{
InputTokens: chunk.UsageMetadata.PromptTokenCount,
OutputTokens: chunk.UsageMetadata.CandidatesTokenCount,
TotalTokens: chunk.UsageMetadata.TotalTokenCount,
}}, nil
}
}
if err := s.scanner.Err(); err != nil {
return nil, err
}
return nil, io.EOF
}
func (s *streamReader) Close() error {
if s.closed {
return nil
}
s.closed = true
return s.body.Close()
}
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, "/") +
"/v1beta/models/" + p.opts.Model + ":generateContent"
httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, 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("x-goog-api-key", 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 != http.StatusOK {
return nil, nil, ai.NewHTTPError(httpResp, respBody)
}
var geminiResp struct {
Candidates []struct {
Content struct {
Parts []struct {
Text string `json:"text"`
FunctionCall *functionCallPB `json:"functionCall"`
} `json:"parts"`
} `json:"content"`
} `json:"candidates"`
}
if err := json.Unmarshal(respBody, &geminiResp); err != nil {
return nil, nil, fmt.Errorf("failed to parse response: %w", err)
}
if len(geminiResp.Candidates) == 0 {
return nil, nil, fmt.Errorf("no response from API")
}
parts := geminiResp.Candidates[0].Content.Parts
response := &ai.Response{}
var replyParts []string
var rawParts []map[string]any
for _, part := range parts {
if part.Text != "" {
replyParts = append(replyParts, part.Text)
rawParts = append(rawParts, map[string]any{"text": part.Text})
}
if part.FunctionCall != nil {
response.ToolCalls = append(response.ToolCalls, ai.ToolCall{
ID: part.FunctionCall.ID,
Name: part.FunctionCall.Name,
Input: part.FunctionCall.Args,
})
rawParts = append(rawParts, map[string]any{
"functionCall": map[string]any{
"id": part.FunctionCall.ID,
"name": part.FunctionCall.Name,
"args": part.FunctionCall.Args,
},
})
}
}
if len(replyParts) > 0 {
response.Reply = strings.Join(replyParts, "\n")
}
return response, rawParts, nil
}
type functionCallPB struct {
ID string `json:"id"`
Name string `json:"name"`
Args map[string]any `json:"args"`
}
func geminiContents(req *ai.Request) []map[string]any {
contents := make([]map[string]any, 0, len(req.Messages)+1)
for _, m := range req.Messages {
role := m.Role
if role == "assistant" {
role = "model"
}
if role == "system" || role == "" {
continue
}
contents = append(contents, map[string]any{"role": role, "parts": []map[string]any{{"text": fmt.Sprint(m.Content)}}})
}
if req.Prompt != "" {
contents = append(contents, map[string]any{"role": "user", "parts": []map[string]any{{"text": req.Prompt}}})
}
return contents
}