Add Claude compatibility and enhance API handling

- Integrated Claude API compatibility in handlers, translators, and server routes.
- Introduced `/messages` endpoint and upgraded `AuthMiddleware` for `X-Api-Key` header.
- Improved streaming response handling with `ConvertCliToClaude` for SSE compatibility.
- Enhanced request processing and tool-response mapping in translators.
- Updated README to reflect Claude integration and clarify supported features.
This commit is contained in:
Luis Pater
2025-07-11 13:46:27 +08:00
parent edeadfc389
commit 3c0c61aaf1
6 changed files with 463 additions and 110 deletions

View File

@@ -1,6 +1,7 @@
package translator
import (
"bytes"
"encoding/json"
"fmt"
"github.com/tidwall/sjson"
@@ -22,11 +23,15 @@ func PrepareRequest(rawJson []byte) (string, *client.Content, []client.Content,
modelName = modelResult.String()
}
// Process the array of messages.
// Initialize data structures for processing conversation messages
// contents: stores the processed conversation history
// systemInstruction: stores system-level instructions separate from conversation
contents := make([]client.Content, 0)
var systemInstruction *client.Content
messagesResult := gjson.GetBytes(rawJson, "messages")
// Pre-process tool responses to create a lookup map
// This first pass collects all tool responses so they can be matched with their corresponding calls
toolItems := make(map[string]*client.FunctionResponse)
if messagesResult.IsArray() {
messagesResults := messagesResult.Array()
@@ -37,21 +42,26 @@ func PrepareRequest(rawJson []byte) (string, *client.Content, []client.Content,
continue
}
contentResult := messageResult.Get("content")
// Extract tool responses for later matching with function calls
if roleResult.String() == "tool" {
toolCallID := messageResult.Get("tool_call_id").String()
if toolCallID != "" {
var responseData string
// Handle both string and object-based tool response formats
if contentResult.Type == gjson.String {
responseData = contentResult.String()
} else if contentResult.IsObject() && contentResult.Get("type").String() == "text" {
responseData = contentResult.Get("text").String()
}
// drop the timestamp from the tool call ID
// Clean up tool call ID by removing timestamp suffix
// This normalizes IDs for consistent matching between calls and responses
toolCallIDs := strings.Split(toolCallID, "-")
strings.Join(toolCallIDs, "-")
newToolCallID := strings.Join(toolCallIDs[:len(toolCallIDs)-1], "-")
// Create function response object with normalized ID and response data
functionResponse := client.FunctionResponse{Name: newToolCallID, Response: map[string]interface{}{"result": responseData}}
toolItems[toolCallID] = &functionResponse
}
@@ -126,25 +136,33 @@ func PrepareRequest(rawJson []byte) (string, *client.Content, []client.Content,
}
contents = append(contents, client.Content{Role: "user", Parts: parts})
}
// Assistant messages can contain text or tool calls.
// Assistant messages can contain text responses or tool calls
// In the internal format, assistant messages are converted to "model" role
case "assistant":
if contentResult.Type == gjson.String {
// Simple text response from the assistant
contents = append(contents, client.Content{Role: "model", Parts: []client.Part{{Text: contentResult.String()}}})
} else if !contentResult.Exists() || contentResult.Type == gjson.Null {
// Handle tool calls made by the assistant.
// Handle complex tool calls made by the assistant
// This processes function calls and matches them with their responses
functionIDs := make([]string, 0)
toolCallsResult := messageResult.Get("tool_calls")
if toolCallsResult.IsArray() {
parts := make([]client.Part, 0)
tcsResult := toolCallsResult.Array()
// Process each tool call in the assistant's message
for j := 0; j < len(tcsResult); j++ {
tcResult := tcsResult[j]
// Extract function call details
functionID := tcResult.Get("id").String()
functionIDs = append(functionIDs, functionID)
functionName := tcResult.Get("function.name").String()
functionArgs := tcResult.Get("function.arguments").String()
// Parse function arguments from JSON string to map
var args map[string]any
if err := json.Unmarshal([]byte(functionArgs), &args); err == nil {
parts = append(parts, client.Part{
@@ -155,17 +173,22 @@ func PrepareRequest(rawJson []byte) (string, *client.Content, []client.Content,
})
}
}
// Add the model's function calls to the conversation
if len(parts) > 0 {
contents = append(contents, client.Content{
Role: "model", Parts: parts,
})
// Create a separate tool response message with the collected responses
// This matches function calls with their corresponding responses
toolParts := make([]client.Part, 0)
for _, functionID := range functionIDs {
if functionResponse, ok := toolItems[functionID]; ok {
toolParts = append(toolParts, client.Part{FunctionResponse: functionResponse})
}
}
// Add the tool responses as a separate message in the conversation
contents = append(contents, client.Content{Role: "tool", Parts: toolParts})
}
}
@@ -207,23 +230,28 @@ type FunctionCallGroup struct {
ResponsesNeeded int
}
// FixCLIToolResponse converts the format from 1.json to 2.json
// It groups function calls with their corresponding responses
// FixCLIToolResponse performs sophisticated tool response format conversion and grouping.
// This function transforms the CLI tool response format by intelligently grouping function calls
// with their corresponding responses, ensuring proper conversation flow and API compatibility.
// It converts from a linear format (1.json) to a grouped format (2.json) where function calls
// and their responses are properly associated and structured.
func FixCLIToolResponse(input string) (string, error) {
// Parse the input JSON
// Parse the input JSON to extract the conversation structure
parsed := gjson.Parse(input)
// Get the contents array
// Extract the contents array which contains the conversation messages
contents := parsed.Get("request.contents")
if !contents.Exists() {
return input, fmt.Errorf("contents not found in input")
}
var newContents []interface{}
var pendingGroups []*FunctionCallGroup
var collectedResponses []gjson.Result
// Initialize data structures for processing and grouping
var newContents []interface{} // Final processed contents array
var pendingGroups []*FunctionCallGroup // Groups awaiting completion with responses
var collectedResponses []gjson.Result // Standalone responses to be matched
// Process each content object
// Process each content object in the conversation
// This iterates through messages and groups function calls with their responses
contents.ForEach(func(key, value gjson.Result) bool {
role := value.Get("role").String()
parts := value.Get("parts")
@@ -363,3 +391,154 @@ func FixCLIToolResponse(input string) (string, error) {
return result, nil
}
func PrepareClaudeRequest(rawJson []byte) (string, *client.Content, []client.Content, []client.ToolDeclaration) {
var pathsToDelete []string
root := gjson.ParseBytes(rawJson)
walk(root, "", "additionalProperties", &pathsToDelete)
walk(root, "", "$schema", &pathsToDelete)
var err error
for _, p := range pathsToDelete {
rawJson, err = sjson.DeleteBytes(rawJson, p)
if err != nil {
continue
}
}
rawJson = bytes.Replace(rawJson, []byte(`"url":{"type":"string","format":"uri",`), []byte(`"url":{"type":"string",`), -1)
// log.Debug(string(rawJson))
modelName := "gemini-2.5-pro"
modelResult := gjson.GetBytes(rawJson, "model")
if modelResult.Type == gjson.String {
modelName = modelResult.String()
}
contents := make([]client.Content, 0)
var systemInstruction *client.Content
systemResult := gjson.GetBytes(rawJson, "system")
if systemResult.IsArray() {
systemResults := systemResult.Array()
systemInstruction = &client.Content{Role: "user", Parts: []client.Part{}}
for i := 0; i < len(systemResults); i++ {
systemPromptResult := systemResults[i]
systemTypePromptResult := systemPromptResult.Get("type")
if systemTypePromptResult.Type == gjson.String && systemTypePromptResult.String() == "text" {
systemPrompt := systemPromptResult.Get("text").String()
systemPart := client.Part{Text: systemPrompt}
systemInstruction.Parts = append(systemInstruction.Parts, systemPart)
}
}
if len(systemInstruction.Parts) == 0 {
systemInstruction = nil
}
}
messagesResult := gjson.GetBytes(rawJson, "messages")
if messagesResult.IsArray() {
messageResults := messagesResult.Array()
for i := 0; i < len(messageResults); i++ {
messageResult := messageResults[i]
roleResult := messageResult.Get("role")
if roleResult.Type != gjson.String {
continue
}
role := roleResult.String()
if role == "assistant" {
role = "model"
}
clientContent := client.Content{Role: role, Parts: []client.Part{}}
contentsResult := messageResult.Get("content")
if contentsResult.IsArray() {
contentResults := contentsResult.Array()
for j := 0; j < len(contentResults); j++ {
contentResult := contentResults[j]
contentTypeResult := contentResult.Get("type")
if contentTypeResult.Type == gjson.String && contentTypeResult.String() == "text" {
prompt := contentResult.Get("text").String()
clientContent.Parts = append(clientContent.Parts, client.Part{Text: prompt})
} else if contentTypeResult.Type == gjson.String && contentTypeResult.String() == "tool_use" {
functionName := contentResult.Get("name").String()
functionArgs := contentResult.Get("input").String()
var args map[string]any
if err = json.Unmarshal([]byte(functionArgs), &args); err == nil {
clientContent.Parts = append(clientContent.Parts, client.Part{
FunctionCall: &client.FunctionCall{
Name: functionName,
Args: args,
},
})
}
} else if contentTypeResult.Type == gjson.String && contentTypeResult.String() == "tool_result" {
toolCallID := contentResult.Get("tool_use_id").String()
if toolCallID != "" {
funcName := toolCallID
toolCallIDs := strings.Split(toolCallID, "-")
if len(toolCallIDs) > 1 {
funcName = strings.Join(toolCallIDs[0:len(toolCallIDs)-1], "-")
}
responseData := contentResult.Get("content").String()
functionResponse := client.FunctionResponse{Name: funcName, Response: map[string]interface{}{"result": responseData}}
clientContent.Parts = append(clientContent.Parts, client.Part{FunctionResponse: &functionResponse})
}
}
}
contents = append(contents, clientContent)
} else if contentsResult.Type == gjson.String {
prompt := contentsResult.String()
contents = append(contents, client.Content{Role: role, Parts: []client.Part{{Text: prompt}}})
}
}
}
var tools []client.ToolDeclaration
toolsResult := gjson.GetBytes(rawJson, "tools")
if toolsResult.IsArray() {
tools = make([]client.ToolDeclaration, 1)
tools[0].FunctionDeclarations = make([]any, 0)
toolsResults := toolsResult.Array()
for i := 0; i < len(toolsResults); i++ {
toolResult := toolsResults[i]
inputSchemaResult := toolResult.Get("input_schema")
if inputSchemaResult.Exists() && inputSchemaResult.IsObject() {
inputSchema := inputSchemaResult.Raw
inputSchema, _ = sjson.Delete(inputSchema, "additionalProperties")
inputSchema, _ = sjson.Delete(inputSchema, "$schema")
tool, _ := sjson.Delete(toolResult.Raw, "input_schema")
tool, _ = sjson.SetRaw(tool, "parameters", inputSchema)
var toolDeclaration any
if err = json.Unmarshal([]byte(tool), &toolDeclaration); err == nil {
tools[0].FunctionDeclarations = append(tools[0].FunctionDeclarations, toolDeclaration)
}
}
}
} else {
tools = make([]client.ToolDeclaration, 0)
}
return modelName, systemInstruction, contents, tools
}
func walk(value gjson.Result, path, field string, pathsToDelete *[]string) {
switch value.Type {
case gjson.JSON:
value.ForEach(func(key, val gjson.Result) bool {
var childPath string
if path == "" {
childPath = key.String()
} else {
childPath = path + "." + key.String()
}
if key.String() == field {
*pathsToDelete = append(*pathsToDelete, childPath)
}
walk(val, childPath, field, pathsToDelete)
return true
})
case gjson.String, gjson.Number, gjson.True, gjson.False, gjson.Null:
}
}

View File

@@ -1,6 +1,7 @@
package translator
import (
"bytes"
"fmt"
"time"
@@ -188,3 +189,194 @@ func ConvertCliToOpenAINonStream(rawJson []byte, unixTimestamp int64, isGlAPIKey
return template
}
// ConvertCliToClaude performs sophisticated streaming response format conversion.
// This function implements a complex state machine that translates backend client responses
// into Claude-compatible Server-Sent Events (SSE) format. It manages different response types
// and handles state transitions between content blocks, thinking processes, and function calls.
//
// Response type states: 0=none, 1=content, 2=thinking, 3=function
// The function maintains state across multiple calls to ensure proper SSE event sequencing.
func ConvertCliToClaude(rawJson []byte, isGlAPIKey, hasFirstResponse bool, responseType, responseIndex *int) string {
// Normalize the response format for different API key types
// Generative Language API keys have a different response structure
if isGlAPIKey {
rawJson, _ = sjson.SetRawBytes(rawJson, "response", rawJson)
}
// Track whether tools are being used in this response chunk
usedTool := false
output := ""
// Initialize the streaming session with a message_start event
// This is only sent for the very first response chunk
if !hasFirstResponse {
output = "event: message_start\n"
// Create the initial message structure with default values
// This follows the Claude API specification for streaming message initialization
messageStartTemplate := `{"type": "message_start", "message": {"id": "msg_1nZdL29xx5MUA1yADyHTEsnR8uuvGzszyY", "type": "message", "role": "assistant", "content": [], "model": "claude-3-5-sonnet-20241022", "stop_reason": null, "stop_sequence": null, "usage": {"input_tokens": 0, "output_tokens": 0}}}`
// Override default values with actual response metadata if available
if modelVersionResult := gjson.GetBytes(rawJson, "response.modelVersion"); modelVersionResult.Exists() {
messageStartTemplate, _ = sjson.Set(messageStartTemplate, "message.model", modelVersionResult.String())
}
if responseIdResult := gjson.GetBytes(rawJson, "response.responseId"); responseIdResult.Exists() {
messageStartTemplate, _ = sjson.Set(messageStartTemplate, "message.id", responseIdResult.String())
}
output = output + fmt.Sprintf("data: %s\n\n\n", messageStartTemplate)
}
// Process the response parts array from the backend client
// Each part can contain text content, thinking content, or function calls
partsResult := gjson.GetBytes(rawJson, "response.candidates.0.content.parts")
if partsResult.IsArray() {
partResults := partsResult.Array()
for i := 0; i < len(partResults); i++ {
partResult := partResults[i]
// Extract the different types of content from each part
partTextResult := partResult.Get("text")
functionCallResult := partResult.Get("functionCall")
// Handle text content (both regular content and thinking)
if partTextResult.Exists() {
// Process thinking content (internal reasoning)
if partResult.Get("thought").Bool() {
// Continue existing thinking block
if *responseType == 2 {
output = output + "event: content_block_delta\n"
data, _ := sjson.Set(fmt.Sprintf(`{"type":"content_block_delta","index":%d,"delta":{"type":"thinking_delta","thinking":""}}`, *responseIndex), "delta.thinking", partTextResult.String())
output = output + fmt.Sprintf("data: %s\n\n\n", data)
} else {
// Transition from another state to thinking
// First, close any existing content block
if *responseType != 0 {
if *responseType == 2 {
output = output + "event: content_block_delta\n"
output = output + fmt.Sprintf(`data: {"type":"content_block_delta","index":%d,"delta":{"type":"signature_delta","signature":null}}`, *responseIndex)
output = output + "\n\n\n"
}
output = output + "event: content_block_stop\n"
output = output + fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, *responseIndex)
output = output + "\n\n\n"
*responseIndex++
}
// Start a new thinking content block
output = output + "event: content_block_start\n"
output = output + fmt.Sprintf(`data: {"type":"content_block_start","index":%d,"content_block":{"type":"thinking","thinking":""}}`, *responseIndex)
output = output + "\n\n\n"
output = output + "event: content_block_delta\n"
data, _ := sjson.Set(fmt.Sprintf(`{"type":"content_block_delta","index":%d,"delta":{"type":"thinking_delta","thinking":""}}`, *responseIndex), "delta.thinking", partTextResult.String())
output = output + fmt.Sprintf("data: %s\n\n\n", data)
*responseType = 2 // Set state to thinking
}
} else {
// Process regular text content (user-visible output)
// Continue existing text block
if *responseType == 1 {
output = output + "event: content_block_delta\n"
data, _ := sjson.Set(fmt.Sprintf(`{"type":"content_block_delta","index":%d,"delta":{"type":"text_delta","text":""}}`, *responseIndex), "delta.text", partTextResult.String())
output = output + fmt.Sprintf("data: %s\n\n\n", data)
} else {
// Transition from another state to text content
// First, close any existing content block
if *responseType != 0 {
if *responseType == 2 {
output = output + "event: content_block_delta\n"
output = output + fmt.Sprintf(`data: {"type":"content_block_delta","index":%d,"delta":{"type":"signature_delta","signature":null}}`, *responseIndex)
output = output + "\n\n\n"
}
output = output + "event: content_block_stop\n"
output = output + fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, *responseIndex)
output = output + "\n\n\n"
*responseIndex++
}
// Start a new text content block
output = output + "event: content_block_start\n"
output = output + fmt.Sprintf(`data: {"type":"content_block_start","index":%d,"content_block":{"type":"text","text":""}}`, *responseIndex)
output = output + "\n\n\n"
output = output + "event: content_block_delta\n"
data, _ := sjson.Set(fmt.Sprintf(`{"type":"content_block_delta","index":%d,"delta":{"type":"text_delta","text":""}}`, *responseIndex), "delta.text", partTextResult.String())
output = output + fmt.Sprintf("data: %s\n\n\n", data)
*responseType = 1 // Set state to content
}
}
} else if functionCallResult.Exists() {
// Handle function/tool calls from the AI model
// This processes tool usage requests and formats them for Claude API compatibility
usedTool = true
fcName := functionCallResult.Get("name").String()
// Handle state transitions when switching to function calls
// Close any existing function call block first
if *responseType == 3 {
output = output + "event: content_block_stop\n"
output = output + fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, *responseIndex)
output = output + "\n\n\n"
*responseIndex++
*responseType = 0
}
// Special handling for thinking state transition
if *responseType == 2 {
output = output + "event: content_block_delta\n"
output = output + fmt.Sprintf(`data: {"type":"content_block_delta","index":%d,"delta":{"type":"signature_delta","signature":null}}`, *responseIndex)
output = output + "\n\n\n"
}
// Close any other existing content block
if *responseType != 0 {
output = output + "event: content_block_stop\n"
output = output + fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, *responseIndex)
output = output + "\n\n\n"
*responseIndex++
}
// Start a new tool use content block
// This creates the structure for a function call in Claude format
output = output + "event: content_block_start\n"
// Create the tool use block with unique ID and function details
data := fmt.Sprintf(`{"type":"content_block_start","index":%d,"content_block":{"type":"tool_use","id":"","name":"","input":{}}}`, *responseIndex)
data, _ = sjson.Set(data, "content_block.id", fmt.Sprintf("%s-%d", fcName, time.Now().UnixNano()))
data, _ = sjson.Set(data, "content_block.name", fcName)
output = output + fmt.Sprintf("data: %s\n\n\n", data)
if fcArgsResult := functionCallResult.Get("args"); fcArgsResult.Exists() {
output = output + "event: content_block_delta\n"
data, _ = sjson.Set(fmt.Sprintf(`{"type":"content_block_delta","index":%d,"delta":{"type":"input_json_delta","partial_json":""}}`, *responseIndex), "delta.partial_json", fcArgsResult.Raw)
output = output + fmt.Sprintf("data: %s\n\n\n", data)
}
*responseType = 3
}
}
}
usageResult := gjson.GetBytes(rawJson, "response.usageMetadata")
if usageResult.Exists() && bytes.Contains(rawJson, []byte(`"finishReason"`)) {
if candidatesTokenCountResult := usageResult.Get("candidatesTokenCount"); candidatesTokenCountResult.Exists() {
output = output + "event: content_block_stop\n"
output = output + fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, *responseIndex)
output = output + "\n\n\n"
output = output + "event: message_delta\n"
output = output + `data: `
template := `{"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":0,"output_tokens":0}}`
if usedTool {
template = `{"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"input_tokens":0,"output_tokens":0}}`
}
thoughtsTokenCount := usageResult.Get("thoughtsTokenCount").Int()
template, _ = sjson.Set(template, "usage.output_tokens", candidatesTokenCountResult.Int()+thoughtsTokenCount)
template, _ = sjson.Set(template, "usage.input_tokens", usageResult.Get("promptTokenCount").Int())
output = output + template + "\n\n\n"
}
}
return output
}