Files
opencatd-open/internal/proxy/convert/chat_messages.go
T
Sakurasan ef3025dd80 refactor: complete backend rewrite for multi-protocol proxy
Major rewrite of the Go backend to support:
- Three API format imports: openai, anthropic, compatible
- Three protocol conversions: Chat Completions, Responses, Messages
- Hub-and-spoke architecture with Chat as intermediate format

Deleted:
- opencat.go (old entry)
- store/, team/, pkg/team/, pkg/store/ (old data layer)
- internal/model/, internal/consts/ (old types)
- internal/service/team/, internal/controller/team/ (old handlers)
- llm/ (removed LLM client library, pure proxy mode)
- dist/, assets/ (old build artifacts)

Added:
- internal/store/ — 9 GORM models + multi-DB support
- internal/pkg/ — crypto (AES-GCM), apikey, jwt, ratelimit, resp, tokenizer
- internal/channel/ — channel selection, weighted LB, health checks
- internal/proxy/convert/ — 6 protocol conversion functions + SSE streaming
- internal/proxy/ — gateway with request dispatch and upstream selection
- internal/usage/ — async usage recorder with batch writes
- internal/api/ — management API (auth, users, keys, channels, models)
- Makefile for build/test/deploy

Fixed API to match frontend expectations:
- Login response wraps token in { data: { token } }
- GET /api/profile route added
- Profile response wraps user in { code, data }
- Role returned as number (10=admin, 1=user)
2026-08-30 11:49:31 +08:00

213 lines
4.7 KiB
Go

package convert
import (
"encoding/json"
"fmt"
)
// ChatToMessages converts a Chat Completions request to Anthropic Messages format
func ChatToMessages(req *ChatCompletionRequest) (*MessagesRequest, error) {
msgs := make([]Message, 0, len(req.Messages))
var systemParts []ContentPart
for _, m := range req.Messages {
if m.Role == "system" {
// Extract system message content
switch v := m.Content.(type) {
case string:
systemParts = append(systemParts, ContentPart{
Type: "text",
Text: v,
})
case []interface{}:
for _, part := range v {
if p, ok := part.(map[string]interface{}); ok {
if t, ok := p["type"].(string); ok && t == "text" {
if text, ok := p["text"].(string); ok {
systemParts = append(systemParts, ContentPart{
Type: "text",
Text: text,
})
}
}
}
}
}
continue
}
msgs = append(msgs, m)
}
out := &MessagesRequest{
Model: req.Model,
Messages: msgs,
Stream: req.Stream,
}
if len(systemParts) > 0 {
out.System = systemParts
}
if req.MaxTokens != nil {
out.MaxTokens = *req.MaxTokens
} else {
defaultMax := 4096
out.MaxTokens = defaultMax
}
if req.Temperature != nil {
out.Temperature = req.Temperature
}
if req.TopP != nil {
out.TopP = req.TopP
}
if req.Tools != nil {
out.Tools = req.Tools
}
return out, nil
}
// MessagesToChat converts an Anthropic Messages response to Chat Completions format
func MessagesToChat(resp *MessagesResponse) (*ChatCompletionResponse, error) {
choices := make([]Choice, 0)
for _, block := range resp.Content {
switch block.Type {
case "text":
choices = append(choices, Choice{
Index: len(choices),
Message: Message{
Role: "assistant",
Content: block.Text,
},
FinishReason: mapStopReason(resp.StopReason),
})
case "tool_use":
toolCall := ToolCall{
ID: block.ID,
Type: "function",
Function: FunctionCall{
Name: block.Name,
Arguments: toJSON(block.Input),
},
}
if len(choices) == 0 {
choices = append(choices, Choice{
Index: 0,
Message: Message{
Role: "assistant",
ToolCalls: []ToolCall{toolCall},
},
FinishReason: "tool_calls",
})
} else {
choices[0].Message.ToolCalls = append(choices[0].Message.ToolCalls, toolCall)
choices[0].FinishReason = "tool_calls"
}
}
}
if len(choices) == 0 {
choices = append(choices, Choice{
Index: 0,
Message: Message{
Role: "assistant",
Content: "",
},
FinishReason: "stop",
})
}
return &ChatCompletionResponse{
ID: resp.ID,
Object: "chat.completion",
Model: resp.Model,
Choices: choices,
Usage: &Usage{
PromptTokens: resp.Usage.PromptTokens,
CompletionTokens: resp.Usage.CompletionTokens,
TotalTokens: resp.Usage.PromptTokens + resp.Usage.CompletionTokens,
},
}, nil
}
// MessagesStreamToChatStream converts Anthropic streaming chunks to Chat Completions format
func MessagesStreamToChatStream(anthropicEvents []AnthropicStreamEvent, model string) []ChatCompletionStreamChunk {
var chunks []ChatCompletionStreamChunk
id := fmt.Sprintf("chatcmpl-%d", len(anthropicEvents))
for _, event := range anthropicEvents {
switch event.Type {
case "message_start":
// Initial chunk with role
chunks = append(chunks, ChatCompletionStreamChunk{
ID: id,
Object: "chat.completion.chunk",
Model: model,
Choices: []StreamChoice{{
Index: 0,
Delta: StreamDelta{
Role: "assistant",
},
}},
})
case "content_block_delta":
if event.Delta != nil && event.Delta.Text != "" {
chunks = append(chunks, ChatCompletionStreamChunk{
ID: id,
Object: "chat.completion.chunk",
Model: model,
Choices: []StreamChoice{{
Index: 0,
Delta: StreamDelta{
Content: event.Delta.Text,
},
}},
})
}
case "message_delta":
finishReason := "stop"
if event.Delta != nil && event.Delta.StopReason != "" {
finishReason = mapStopReason(event.Delta.StopReason)
}
chunk := ChatCompletionStreamChunk{
ID: id,
Object: "chat.completion.chunk",
Model: model,
Choices: []StreamChoice{{
Index: 0,
FinishReason: &finishReason,
}},
}
if event.Usage != nil {
chunk.Usage = event.Usage
}
chunks = append(chunks, chunk)
}
}
return chunks
}
func mapStopReason(reason string) string {
switch reason {
case "end_turn", "stop_sequence":
return "stop"
case "tool_use":
return "tool_calls"
case "max_tokens":
return "length"
default:
return "stop"
}
}
func toJSON(v interface{}) string {
b, err := json.Marshal(v)
if err != nil {
return "{}"
}
return string(b)
}