Files
2026-06-15 23:48:37 +08:00

198 lines
4.6 KiB
Go

package llm
import (
"bufio"
"context"
"encoding/json"
"fmt"
"io"
"strings"
)
// Manager manages multiple LLM providers and routes requests.
type Manager struct {
providers map[string]Provider
fallback string
}
func NewManager() *Manager {
return &Manager{
providers: make(map[string]Provider),
}
}
func (m *Manager) Register(name string, provider Provider) {
m.providers[name] = provider
if m.fallback == "" {
m.fallback = name
}
}
func (m *Manager) SetFallback(name string) {
m.fallback = name
}
func (m *Manager) GetProvider(name string) (Provider, error) {
if p, ok := m.providers[name]; ok {
return p, nil
}
if p, ok := m.providers[m.fallback]; ok {
return p, nil
}
return nil, fmt.Errorf("no provider found: %s", name)
}
// Chat performs a blocking chat completion using the specified provider.
func (m *Manager) Chat(ctx context.Context, providerName string, req *ChatRequest) (*ChatResponse, error) {
provider, err := m.GetProvider(providerName)
if err != nil {
return nil, err
}
return provider.ChatCompletion(ctx, req)
}
// ChatStream performs a streaming chat and returns the raw SSE body.
func (m *Manager) ChatStream(ctx context.Context, providerName string, req *ChatRequest) (io.ReadCloser, error) {
provider, err := m.GetProvider(providerName)
if err != nil {
return nil, err
}
req.Stream = true
return provider.ChatStream(ctx, req)
}
// StreamEvent represents a normalized SSE event for the frontend.
type StreamEvent struct {
Event string `json:"event"`
Answer string `json:"answer,omitempty"`
MessageID string `json:"message_id,omitempty"`
Usage *Usage `json:"usage,omitempty"`
}
type Usage struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
Model string `json:"model"`
}
// TransformOpenAIStream reads an OpenAI SSE stream and writes normalized events to the writer.
func TransformOpenAIStream(reader io.Reader, write func(event StreamEvent)) error {
scanner := bufio.NewScanner(reader)
scanner.Buffer(make([]byte, 64*1024), 256*1024)
var totalContent string
var model string
for scanner.Scan() {
line := scanner.Text()
if !strings.HasPrefix(line, "data: ") {
continue
}
data := strings.TrimPrefix(line, "data: ")
if data == "[DONE]" {
write(StreamEvent{
Event: "message_end",
Usage: &Usage{
TotalTokens: estimateTokens(totalContent),
Model: model,
},
})
break
}
var chunk struct {
ID string `json:"id"`
Model string `json:"model"`
Choices []struct {
Delta struct {
Content string `json:"content"`
} `json:"delta"`
FinishReason *string `json:"finish_reason"`
} `json:"choices"`
}
if err := json.Unmarshal([]byte(data), &chunk); err != nil {
continue
}
model = chunk.Model
if len(chunk.Choices) > 0 && chunk.Choices[0].Delta.Content != "" {
content := chunk.Choices[0].Delta.Content
totalContent += content
write(StreamEvent{
Event: "message",
Answer: content,
MessageID: chunk.ID,
})
}
}
return scanner.Err()
}
// TransformAnthropicStream reads an Anthropic SSE stream and writes normalized events.
func TransformAnthropicStream(reader io.Reader, write func(event StreamEvent)) error {
scanner := bufio.NewScanner(reader)
scanner.Buffer(make([]byte, 64*1024), 256*1024)
var model string
for scanner.Scan() {
line := scanner.Text()
if !strings.HasPrefix(line, "data: ") {
if strings.HasPrefix(line, "event: ") {
continue
}
continue
}
data := strings.TrimPrefix(line, "data: ")
var event map[string]any
if err := json.Unmarshal([]byte(data), &event); err != nil {
continue
}
eventType, _ := event["type"].(string)
switch eventType {
case "message_start":
if msg, ok := event["message"].(map[string]any); ok {
if m, ok := msg["model"].(string); ok {
model = m
}
}
case "content_block_delta":
if delta, ok := event["delta"].(map[string]any); ok {
if text, ok := delta["text"].(string); ok {
write(StreamEvent{
Event: "message",
Answer: text,
})
}
}
case "message_delta":
if usage, ok := event["usage"].(map[string]any); ok {
outputTokens := int(getFloat(usage, "output_tokens"))
write(StreamEvent{
Event: "message_end",
Usage: &Usage{
CompletionTokens: outputTokens,
TotalTokens: outputTokens,
Model: model,
},
})
}
}
}
return scanner.Err()
}
func getFloat(m map[string]any, key string) float64 {
if v, ok := m[key].(float64); ok {
return v
}
return 0
}
func estimateTokens(text string) int {
return len(text) / 4
}