feat(kiro): add AWS Builder ID authentication support

- Add --kiro-aws-login flag for AWS Builder ID device code flow
- Add DoKiroAWSLogin function for AWS SSO OIDC authentication
- Complete Kiro integration with AWS, Google OAuth, and social auth
- Add kiro executor, translator, and SDK components
- Update browser support for Kiro authentication flows

internal/translator/claude/gemini/claude_gemini_response.go

@@ -331,8 +331,9 @@ func ConvertClaudeResponseToGeminiNonStream(_ context.Context, modelName string,
 	streamingEvents := make([][]byte, 0)
 
 	scanner := bufio.NewScanner(bytes.NewReader(rawJSON))
-	buffer := make([]byte, 20_971_520)
-	scanner.Buffer(buffer, 20_971_520)
+	// Use a smaller initial buffer (64KB) that can grow up to 20MB if needed
+	// This prevents allocating 20MB for every request regardless of size
+	scanner.Buffer(make([]byte, 64*1024), 20_971_520)
 	for scanner.Scan() {
 		line := scanner.Bytes()
 		// log.Debug(string(line))

internal/translator/claude/openai/chat-completions/claude_openai_response.go

@@ -50,6 +50,10 @@ type ToolCallAccumulator struct {
 // Returns:
 //   - []string: A slice of strings, each containing an OpenAI-compatible JSON response
 func ConvertClaudeResponseToOpenAI(_ context.Context, modelName string, originalRequestRawJSON, requestRawJSON, rawJSON []byte, param *any) []string {
+	var localParam any
+	if param == nil {
+		param = &localParam
+	}
 	if *param == nil {
 		*param = &ConvertAnthropicResponseToOpenAIParams{
 			CreatedAt:    0,

internal/translator/gemini-cli/claude/gemini-cli_claude_response.go

@@ -60,12 +60,12 @@ func ConvertGeminiCLIResponseToClaude(_ context.Context, _ string, originalReque
 
 	// Track whether tools are being used in this response chunk
 	usedTool := false
-	output := ""
+	var sb strings.Builder
 
 	// Initialize the streaming session with a message_start event
 	// This is only sent for the very first response chunk to establish the streaming session
 	if !(*param).(*Params).HasFirstResponse {
-		output = "event: message_start\n"
+		sb.WriteString("event: message_start\n")
 
 		// Create the initial message structure with default values according to Claude Code API specification
 		// This follows the Claude Code API specification for streaming message initialization
@@ -78,7 +78,7 @@ func ConvertGeminiCLIResponseToClaude(_ context.Context, _ string, originalReque
 		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)
+		sb.WriteString(fmt.Sprintf("data: %s\n\n\n", messageStartTemplate))
 
 		(*param).(*Params).HasFirstResponse = true
 	}
@@ -101,62 +101,52 @@ func ConvertGeminiCLIResponseToClaude(_ context.Context, _ string, originalReque
 				if partResult.Get("thought").Bool() {
 					// Continue existing thinking block if already in thinking state
 					if (*param).(*Params).ResponseType == 2 {
-						output = output + "event: content_block_delta\n"
+						sb.WriteString("event: content_block_delta\n")
 						data, _ := sjson.Set(fmt.Sprintf(`{"type":"content_block_delta","index":%d,"delta":{"type":"thinking_delta","thinking":""}}`, (*param).(*Params).ResponseIndex), "delta.thinking", partTextResult.String())
-						output = output + fmt.Sprintf("data: %s\n\n\n", data)
+						sb.WriteString(fmt.Sprintf("data: %s\n\n\n", data))
 					} else {
 						// Transition from another state to thinking
 						// First, close any existing content block
 						if (*param).(*Params).ResponseType != 0 {
-							if (*param).(*Params).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}}`, (*param).(*Params).ResponseIndex)
-								// output = output + "\n\n\n"
-							}
-							output = output + "event: content_block_stop\n"
-							output = output + fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, (*param).(*Params).ResponseIndex)
-							output = output + "\n\n\n"
+							sb.WriteString("event: content_block_stop\n")
+							sb.WriteString(fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, (*param).(*Params).ResponseIndex))
+							sb.WriteString("\n\n\n")
 							(*param).(*Params).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":""}}`, (*param).(*Params).ResponseIndex)
-						output = output + "\n\n\n"
-						output = output + "event: content_block_delta\n"
+						sb.WriteString("event: content_block_start\n")
+						sb.WriteString(fmt.Sprintf(`data: {"type":"content_block_start","index":%d,"content_block":{"type":"thinking","thinking":""}}`, (*param).(*Params).ResponseIndex))
+						sb.WriteString("\n\n\n")
+						sb.WriteString("event: content_block_delta\n")
 						data, _ := sjson.Set(fmt.Sprintf(`{"type":"content_block_delta","index":%d,"delta":{"type":"thinking_delta","thinking":""}}`, (*param).(*Params).ResponseIndex), "delta.thinking", partTextResult.String())
-						output = output + fmt.Sprintf("data: %s\n\n\n", data)
+						sb.WriteString(fmt.Sprintf("data: %s\n\n\n", data))
 						(*param).(*Params).ResponseType = 2 // Set state to thinking
 					}
 				} else {
 					// Process regular text content (user-visible output)
 					// Continue existing text block if already in content state
 					if (*param).(*Params).ResponseType == 1 {
-						output = output + "event: content_block_delta\n"
+						sb.WriteString("event: content_block_delta\n")
 						data, _ := sjson.Set(fmt.Sprintf(`{"type":"content_block_delta","index":%d,"delta":{"type":"text_delta","text":""}}`, (*param).(*Params).ResponseIndex), "delta.text", partTextResult.String())
-						output = output + fmt.Sprintf("data: %s\n\n\n", data)
+						sb.WriteString(fmt.Sprintf("data: %s\n\n\n", data))
 					} else {
 						// Transition from another state to text content
 						// First, close any existing content block
 						if (*param).(*Params).ResponseType != 0 {
-							if (*param).(*Params).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}}`, (*param).(*Params).ResponseIndex)
-								// output = output + "\n\n\n"
-							}
-							output = output + "event: content_block_stop\n"
-							output = output + fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, (*param).(*Params).ResponseIndex)
-							output = output + "\n\n\n"
+							sb.WriteString("event: content_block_stop\n")
+							sb.WriteString(fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, (*param).(*Params).ResponseIndex))
+							sb.WriteString("\n\n\n")
 							(*param).(*Params).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":""}}`, (*param).(*Params).ResponseIndex)
-						output = output + "\n\n\n"
-						output = output + "event: content_block_delta\n"
+						sb.WriteString("event: content_block_start\n")
+						sb.WriteString(fmt.Sprintf(`data: {"type":"content_block_start","index":%d,"content_block":{"type":"text","text":""}}`, (*param).(*Params).ResponseIndex))
+						sb.WriteString("\n\n\n")
+						sb.WriteString("event: content_block_delta\n")
 						data, _ := sjson.Set(fmt.Sprintf(`{"type":"content_block_delta","index":%d,"delta":{"type":"text_delta","text":""}}`, (*param).(*Params).ResponseIndex), "delta.text", partTextResult.String())
-						output = output + fmt.Sprintf("data: %s\n\n\n", data)
+						sb.WriteString(fmt.Sprintf("data: %s\n\n\n", data))
 						(*param).(*Params).ResponseType = 1 // Set state to content
 					}
 				}
@@ -169,42 +159,35 @@ func ConvertGeminiCLIResponseToClaude(_ context.Context, _ string, originalReque
 				// Handle state transitions when switching to function calls
 				// Close any existing function call block first
 				if (*param).(*Params).ResponseType == 3 {
-					output = output + "event: content_block_stop\n"
-					output = output + fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, (*param).(*Params).ResponseIndex)
-					output = output + "\n\n\n"
+					sb.WriteString("event: content_block_stop\n")
+					sb.WriteString(fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, (*param).(*Params).ResponseIndex))
+					sb.WriteString("\n\n\n")
 					(*param).(*Params).ResponseIndex++
 					(*param).(*Params).ResponseType = 0
 				}
 
-				// Special handling for thinking state transition
-				if (*param).(*Params).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}}`, (*param).(*Params).ResponseIndex)
-					// output = output + "\n\n\n"
-				}
-
 				// Close any other existing content block
 				if (*param).(*Params).ResponseType != 0 {
-					output = output + "event: content_block_stop\n"
-					output = output + fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, (*param).(*Params).ResponseIndex)
-					output = output + "\n\n\n"
+					sb.WriteString("event: content_block_stop\n")
+					sb.WriteString(fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, (*param).(*Params).ResponseIndex))
+					sb.WriteString("\n\n\n")
 					(*param).(*Params).ResponseIndex++
 				}
 
 				// Start a new tool use content block
 				// This creates the structure for a function call in Claude Code format
-				output = output + "event: content_block_start\n"
+				sb.WriteString("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":{}}}`, (*param).(*Params).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)
+				sb.WriteString(fmt.Sprintf("data: %s\n\n\n", data))
 
 				if fcArgsResult := functionCallResult.Get("args"); fcArgsResult.Exists() {
-					output = output + "event: content_block_delta\n"
+					sb.WriteString("event: content_block_delta\n")
 					data, _ = sjson.Set(fmt.Sprintf(`{"type":"content_block_delta","index":%d,"delta":{"type":"input_json_delta","partial_json":""}}`, (*param).(*Params).ResponseIndex), "delta.partial_json", fcArgsResult.Raw)
-					output = output + fmt.Sprintf("data: %s\n\n\n", data)
+					sb.WriteString(fmt.Sprintf("data: %s\n\n\n", data))
 				}
 				(*param).(*Params).ResponseType = 3
 			}
@@ -216,13 +199,13 @@ func ConvertGeminiCLIResponseToClaude(_ context.Context, _ string, originalReque
 	if usageResult.Exists() && bytes.Contains(rawJSON, []byte(`"finishReason"`)) {
 		if candidatesTokenCountResult := usageResult.Get("candidatesTokenCount"); candidatesTokenCountResult.Exists() {
 			// Close the final content block
-			output = output + "event: content_block_stop\n"
-			output = output + fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, (*param).(*Params).ResponseIndex)
-			output = output + "\n\n\n"
+			sb.WriteString("event: content_block_stop\n")
+			sb.WriteString(fmt.Sprintf(`data: {"type":"content_block_stop","index":%d}`, (*param).(*Params).ResponseIndex))
+			sb.WriteString("\n\n\n")
 
 			// Send the final message delta with usage information and stop reason
-			output = output + "event: message_delta\n"
-			output = output + `data: `
+			sb.WriteString("event: message_delta\n")
+			sb.WriteString(`data: `)
 
 			// Create the message delta template with appropriate stop reason
 			template := `{"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":0,"output_tokens":0}}`
@@ -236,11 +219,11 @@ func ConvertGeminiCLIResponseToClaude(_ context.Context, _ string, originalReque
 			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"
+			sb.WriteString(template + "\n\n\n")
 		}
 	}
 
-	return []string{output}
+	return []string{sb.String()}
 }
 
 // ConvertGeminiCLIResponseToClaudeNonStream converts a non-streaming Gemini CLI response to a non-streaming Claude response.

internal/translator/init.go

@@ -33,4 +33,7 @@ import (
 	_ "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/antigravity/gemini"
 	_ "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/antigravity/openai/chat-completions"
 	_ "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/antigravity/openai/responses"
+
+	_ "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/kiro/claude"
+	_ "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/kiro/openai/chat-completions"
 )

internal/translator/kiro/claude/init.go

@@ -0,0 +1,19 @@
+package claude
+
+import (
+	. "github.com/router-for-me/CLIProxyAPI/v6/internal/constant"
+	"github.com/router-for-me/CLIProxyAPI/v6/internal/interfaces"
+	"github.com/router-for-me/CLIProxyAPI/v6/internal/translator/translator"
+)
+
+func init() {
+	translator.Register(
+		Claude,
+		Kiro,
+		ConvertClaudeRequestToKiro,
+		interfaces.TranslateResponse{
+			Stream:    ConvertKiroResponseToClaude,
+			NonStream: ConvertKiroResponseToClaudeNonStream,
+		},
+	)
+}

internal/translator/kiro/claude/kiro_claude.go

@@ -0,0 +1,24 @@
+// Package claude provides translation between Kiro and Claude formats.
+// Since Kiro uses Claude-compatible format internally, translations are mostly pass-through.
+package claude
+
+import (
+	"bytes"
+	"context"
+)
+
+// ConvertClaudeRequestToKiro converts Claude request to Kiro format.
+// Since Kiro uses Claude format internally, this is mostly a pass-through.
+func ConvertClaudeRequestToKiro(modelName string, inputRawJSON []byte, stream bool) []byte {
+	return bytes.Clone(inputRawJSON)
+}
+
+// ConvertKiroResponseToClaude converts Kiro streaming response to Claude format.
+func ConvertKiroResponseToClaude(ctx context.Context, model string, originalRequest, request, rawResponse []byte, param *any) []string {
+	return []string{string(rawResponse)}
+}
+
+// ConvertKiroResponseToClaudeNonStream converts Kiro non-streaming response to Claude format.
+func ConvertKiroResponseToClaudeNonStream(ctx context.Context, model string, originalRequest, request, rawResponse []byte, param *any) string {
+	return string(rawResponse)
+}

internal/translator/kiro/openai/chat-completions/init.go

@@ -0,0 +1,19 @@
+package chat_completions
+
+import (
+	. "github.com/router-for-me/CLIProxyAPI/v6/internal/constant"
+	"github.com/router-for-me/CLIProxyAPI/v6/internal/interfaces"
+	"github.com/router-for-me/CLIProxyAPI/v6/internal/translator/translator"
+)
+
+func init() {
+	translator.Register(
+		OpenAI,
+		Kiro,
+		ConvertOpenAIRequestToKiro,
+		interfaces.TranslateResponse{
+			Stream:    ConvertKiroResponseToOpenAI,
+			NonStream: ConvertKiroResponseToOpenAINonStream,
+		},
+	)
+}

internal/translator/kiro/openai/chat-completions/kiro_openai_request.go

@@ -0,0 +1,258 @@
+// Package chat_completions provides request translation from OpenAI to Kiro format.
+package chat_completions
+
+import (
+	"bytes"
+	"encoding/json"
+
+	"github.com/tidwall/gjson"
+	"github.com/tidwall/sjson"
+)
+
+// ConvertOpenAIRequestToKiro transforms an OpenAI Chat Completions API request into Kiro (Claude) format.
+// Kiro uses Claude-compatible format internally, so we primarily pass through to Claude format.
+// Supports tool calling: OpenAI tools -> Claude tools, tool_calls -> tool_use, tool messages -> tool_result.
+func ConvertOpenAIRequestToKiro(modelName string, inputRawJSON []byte, stream bool) []byte {
+	rawJSON := bytes.Clone(inputRawJSON)
+	root := gjson.ParseBytes(rawJSON)
+
+	// Build Claude-compatible request
+	out := `{"model":"","max_tokens":32000,"messages":[]}`
+
+	// Set model
+	out, _ = sjson.Set(out, "model", modelName)
+
+	// Copy max_tokens if present
+	if v := root.Get("max_tokens"); v.Exists() {
+		out, _ = sjson.Set(out, "max_tokens", v.Int())
+	}
+
+	// Copy temperature if present
+	if v := root.Get("temperature"); v.Exists() {
+		out, _ = sjson.Set(out, "temperature", v.Float())
+	}
+
+	// Copy top_p if present
+	if v := root.Get("top_p"); v.Exists() {
+		out, _ = sjson.Set(out, "top_p", v.Float())
+	}
+
+	// Convert OpenAI tools to Claude tools format
+	if tools := root.Get("tools"); tools.Exists() && tools.IsArray() {
+		claudeTools := make([]interface{}, 0)
+		for _, tool := range tools.Array() {
+			if tool.Get("type").String() == "function" {
+				fn := tool.Get("function")
+				claudeTool := map[string]interface{}{
+					"name":        fn.Get("name").String(),
+					"description": fn.Get("description").String(),
+				}
+				// Convert parameters to input_schema
+				if params := fn.Get("parameters"); params.Exists() {
+					claudeTool["input_schema"] = params.Value()
+				} else {
+					claudeTool["input_schema"] = map[string]interface{}{
+						"type":       "object",
+						"properties": map[string]interface{}{},
+					}
+				}
+				claudeTools = append(claudeTools, claudeTool)
+			}
+		}
+		if len(claudeTools) > 0 {
+			out, _ = sjson.Set(out, "tools", claudeTools)
+		}
+	}
+
+	// Process messages
+	messages := root.Get("messages")
+	if messages.Exists() && messages.IsArray() {
+		claudeMessages := make([]interface{}, 0)
+		var systemPrompt string
+		
+		// Track pending tool results to merge with next user message
+		var pendingToolResults []map[string]interface{}
+
+		for _, msg := range messages.Array() {
+			role := msg.Get("role").String()
+			content := msg.Get("content")
+
+			if role == "system" {
+				// Extract system message
+				if content.IsArray() {
+					for _, part := range content.Array() {
+						if part.Get("type").String() == "text" {
+							systemPrompt += part.Get("text").String() + "\n"
+						}
+					}
+				} else {
+					systemPrompt = content.String()
+				}
+				continue
+			}
+
+			if role == "tool" {
+				// OpenAI tool message -> Claude tool_result content block
+				toolCallID := msg.Get("tool_call_id").String()
+				toolContent := content.String()
+				
+				toolResult := map[string]interface{}{
+					"type":        "tool_result",
+					"tool_use_id": toolCallID,
+				}
+				
+				// Handle content - can be string or structured
+				if content.IsArray() {
+					contentParts := make([]interface{}, 0)
+					for _, part := range content.Array() {
+						if part.Get("type").String() == "text" {
+							contentParts = append(contentParts, map[string]interface{}{
+								"type": "text",
+								"text": part.Get("text").String(),
+							})
+						}
+					}
+					toolResult["content"] = contentParts
+				} else {
+					toolResult["content"] = toolContent
+				}
+				
+				pendingToolResults = append(pendingToolResults, toolResult)
+				continue
+			}
+
+			claudeMsg := map[string]interface{}{
+				"role": role,
+			}
+
+			// Handle assistant messages with tool_calls
+			if role == "assistant" && msg.Get("tool_calls").Exists() {
+				contentParts := make([]interface{}, 0)
+				
+				// Add text content if present
+				if content.Exists() && content.String() != "" {
+					contentParts = append(contentParts, map[string]interface{}{
+						"type": "text",
+						"text": content.String(),
+					})
+				}
+				
+				// Convert tool_calls to tool_use blocks
+				for _, toolCall := range msg.Get("tool_calls").Array() {
+					toolUseID := toolCall.Get("id").String()
+					fnName := toolCall.Get("function.name").String()
+					fnArgs := toolCall.Get("function.arguments").String()
+					
+					// Parse arguments JSON
+					var argsMap map[string]interface{}
+					if err := json.Unmarshal([]byte(fnArgs), &argsMap); err != nil {
+						argsMap = map[string]interface{}{"raw": fnArgs}
+					}
+					
+					contentParts = append(contentParts, map[string]interface{}{
+						"type":  "tool_use",
+						"id":    toolUseID,
+						"name":  fnName,
+						"input": argsMap,
+					})
+				}
+				
+				claudeMsg["content"] = contentParts
+				claudeMessages = append(claudeMessages, claudeMsg)
+				continue
+			}
+
+			// Handle user messages - may need to include pending tool results
+			if role == "user" && len(pendingToolResults) > 0 {
+				contentParts := make([]interface{}, 0)
+				
+				// Add pending tool results first
+				for _, tr := range pendingToolResults {
+					contentParts = append(contentParts, tr)
+				}
+				pendingToolResults = nil
+				
+				// Add user content
+				if content.IsArray() {
+					for _, part := range content.Array() {
+						partType := part.Get("type").String()
+						if partType == "text" {
+							contentParts = append(contentParts, map[string]interface{}{
+								"type": "text",
+								"text": part.Get("text").String(),
+							})
+						} else if partType == "image_url" {
+							contentParts = append(contentParts, map[string]interface{}{
+								"type": "image",
+								"source": map[string]interface{}{
+									"type": "url",
+									"url":  part.Get("image_url.url").String(),
+								},
+							})
+						}
+					}
+				} else if content.String() != "" {
+					contentParts = append(contentParts, map[string]interface{}{
+						"type": "text",
+						"text": content.String(),
+					})
+				}
+				
+				claudeMsg["content"] = contentParts
+				claudeMessages = append(claudeMessages, claudeMsg)
+				continue
+			}
+
+			// Handle regular content
+			if content.IsArray() {
+				contentParts := make([]interface{}, 0)
+				for _, part := range content.Array() {
+					partType := part.Get("type").String()
+					if partType == "text" {
+						contentParts = append(contentParts, map[string]interface{}{
+							"type": "text",
+							"text": part.Get("text").String(),
+						})
+					} else if partType == "image_url" {
+						contentParts = append(contentParts, map[string]interface{}{
+							"type": "image",
+							"source": map[string]interface{}{
+								"type": "url",
+								"url":  part.Get("image_url.url").String(),
+							},
+						})
+					}
+				}
+				claudeMsg["content"] = contentParts
+			} else {
+				claudeMsg["content"] = content.String()
+			}
+
+			claudeMessages = append(claudeMessages, claudeMsg)
+		}
+
+		// If there are pending tool results without a following user message,
+		// create a user message with just the tool results
+		if len(pendingToolResults) > 0 {
+			contentParts := make([]interface{}, 0)
+			for _, tr := range pendingToolResults {
+				contentParts = append(contentParts, tr)
+			}
+			claudeMessages = append(claudeMessages, map[string]interface{}{
+				"role":    "user",
+				"content": contentParts,
+			})
+		}
+
+		out, _ = sjson.Set(out, "messages", claudeMessages)
+
+		if systemPrompt != "" {
+			out, _ = sjson.Set(out, "system", systemPrompt)
+		}
+	}
+
+	// Set stream
+	out, _ = sjson.Set(out, "stream", stream)
+
+	return []byte(out)
+}

internal/translator/kiro/openai/chat-completions/kiro_openai_response.go

@@ -0,0 +1,316 @@
+// Package chat_completions provides response translation from Kiro to OpenAI format.
+package chat_completions
+
+import (
+	"context"
+	"encoding/json"
+	"time"
+
+	"github.com/google/uuid"
+	"github.com/tidwall/gjson"
+)
+
+// ConvertKiroResponseToOpenAI converts Kiro streaming response to OpenAI SSE format.
+// Handles Claude SSE events: content_block_start, content_block_delta, input_json_delta,
+// content_block_stop, message_delta, and message_stop.
+func ConvertKiroResponseToOpenAI(ctx context.Context, model string, originalRequest, request, rawResponse []byte, param *any) []string {
+	root := gjson.ParseBytes(rawResponse)
+	var results []string
+
+	eventType := root.Get("type").String()
+
+	switch eventType {
+	case "message_start":
+		// Initial message event - could emit initial chunk if needed
+		return results
+
+	case "content_block_start":
+		// Start of a content block (text or tool_use)
+		blockType := root.Get("content_block.type").String()
+		index := int(root.Get("index").Int())
+
+		if blockType == "tool_use" {
+			// Start of tool_use block
+			toolUseID := root.Get("content_block.id").String()
+			toolName := root.Get("content_block.name").String()
+
+			toolCall := map[string]interface{}{
+				"index": index,
+				"id":    toolUseID,
+				"type":  "function",
+				"function": map[string]interface{}{
+					"name":      toolName,
+					"arguments": "",
+				},
+			}
+
+			response := map[string]interface{}{
+				"id":      "chatcmpl-" + uuid.New().String()[:24],
+				"object":  "chat.completion.chunk",
+				"created": time.Now().Unix(),
+				"model":   model,
+				"choices": []map[string]interface{}{
+					{
+						"index": 0,
+						"delta": map[string]interface{}{
+							"tool_calls": []map[string]interface{}{toolCall},
+						},
+						"finish_reason": nil,
+					},
+				},
+			}
+			result, _ := json.Marshal(response)
+			results = append(results, string(result))
+		}
+		return results
+
+	case "content_block_delta":
+		index := int(root.Get("index").Int())
+		deltaType := root.Get("delta.type").String()
+
+		if deltaType == "text_delta" {
+			// Text content delta
+			contentDelta := root.Get("delta.text").String()
+			if contentDelta != "" {
+				response := map[string]interface{}{
+					"id":      "chatcmpl-" + uuid.New().String()[:24],
+					"object":  "chat.completion.chunk",
+					"created": time.Now().Unix(),
+					"model":   model,
+					"choices": []map[string]interface{}{
+						{
+							"index": 0,
+							"delta": map[string]interface{}{
+								"content": contentDelta,
+							},
+							"finish_reason": nil,
+						},
+					},
+				}
+				result, _ := json.Marshal(response)
+				results = append(results, string(result))
+			}
+		} else if deltaType == "input_json_delta" {
+			// Tool input delta (streaming arguments)
+			partialJSON := root.Get("delta.partial_json").String()
+			if partialJSON != "" {
+				toolCall := map[string]interface{}{
+					"index": index,
+					"function": map[string]interface{}{
+						"arguments": partialJSON,
+					},
+				}
+
+				response := map[string]interface{}{
+					"id":      "chatcmpl-" + uuid.New().String()[:24],
+					"object":  "chat.completion.chunk",
+					"created": time.Now().Unix(),
+					"model":   model,
+					"choices": []map[string]interface{}{
+						{
+							"index": 0,
+							"delta": map[string]interface{}{
+								"tool_calls": []map[string]interface{}{toolCall},
+							},
+							"finish_reason": nil,
+						},
+					},
+				}
+				result, _ := json.Marshal(response)
+				results = append(results, string(result))
+			}
+		}
+		return results
+
+	case "content_block_stop":
+		// End of content block - no output needed for OpenAI format
+		return results
+
+	case "message_delta":
+		// Final message delta with stop_reason
+		stopReason := root.Get("delta.stop_reason").String()
+		if stopReason != "" {
+			finishReason := "stop"
+			if stopReason == "tool_use" {
+				finishReason = "tool_calls"
+			} else if stopReason == "end_turn" {
+				finishReason = "stop"
+			} else if stopReason == "max_tokens" {
+				finishReason = "length"
+			}
+
+			response := map[string]interface{}{
+				"id":      "chatcmpl-" + uuid.New().String()[:24],
+				"object":  "chat.completion.chunk",
+				"created": time.Now().Unix(),
+				"model":   model,
+				"choices": []map[string]interface{}{
+					{
+						"index":         0,
+						"delta":         map[string]interface{}{},
+						"finish_reason": finishReason,
+					},
+				},
+			}
+			result, _ := json.Marshal(response)
+			results = append(results, string(result))
+		}
+		return results
+
+	case "message_stop":
+		// End of message - could emit [DONE] marker
+		return results
+	}
+
+	// Fallback: handle raw content for backward compatibility
+	var contentDelta string
+	if delta := root.Get("delta.text"); delta.Exists() {
+		contentDelta = delta.String()
+	} else if content := root.Get("content"); content.Exists() && root.Get("type").String() == "" {
+		contentDelta = content.String()
+	}
+
+	if contentDelta != "" {
+		response := map[string]interface{}{
+			"id":      "chatcmpl-" + uuid.New().String()[:24],
+			"object":  "chat.completion.chunk",
+			"created": time.Now().Unix(),
+			"model":   model,
+			"choices": []map[string]interface{}{
+				{
+					"index": 0,
+					"delta": map[string]interface{}{
+						"content": contentDelta,
+					},
+					"finish_reason": nil,
+				},
+			},
+		}
+		result, _ := json.Marshal(response)
+		results = append(results, string(result))
+	}
+
+	// Handle tool_use content blocks (Claude format) - fallback
+	toolUses := root.Get("delta.tool_use")
+	if !toolUses.Exists() {
+		toolUses = root.Get("tool_use")
+	}
+	if toolUses.Exists() && toolUses.IsObject() {
+		inputJSON := toolUses.Get("input").String()
+		if inputJSON == "" {
+			if inputObj := toolUses.Get("input"); inputObj.Exists() {
+				inputBytes, _ := json.Marshal(inputObj.Value())
+				inputJSON = string(inputBytes)
+			}
+		}
+
+		toolCall := map[string]interface{}{
+			"index": 0,
+			"id":    toolUses.Get("id").String(),
+			"type":  "function",
+			"function": map[string]interface{}{
+				"name":      toolUses.Get("name").String(),
+				"arguments": inputJSON,
+			},
+		}
+
+		response := map[string]interface{}{
+			"id":      "chatcmpl-" + uuid.New().String()[:24],
+			"object":  "chat.completion.chunk",
+			"created": time.Now().Unix(),
+			"model":   model,
+			"choices": []map[string]interface{}{
+				{
+					"index": 0,
+					"delta": map[string]interface{}{
+						"tool_calls": []map[string]interface{}{toolCall},
+					},
+					"finish_reason": nil,
+				},
+			},
+		}
+		result, _ := json.Marshal(response)
+		results = append(results, string(result))
+	}
+
+	return results
+}
+
+// ConvertKiroResponseToOpenAINonStream converts Kiro non-streaming response to OpenAI format.
+func ConvertKiroResponseToOpenAINonStream(ctx context.Context, model string, originalRequest, request, rawResponse []byte, param *any) string {
+	root := gjson.ParseBytes(rawResponse)
+
+	var content string
+	var toolCalls []map[string]interface{}
+
+	contentArray := root.Get("content")
+	if contentArray.IsArray() {
+		for _, item := range contentArray.Array() {
+			itemType := item.Get("type").String()
+			if itemType == "text" {
+				content += item.Get("text").String()
+			} else if itemType == "tool_use" {
+				// Convert Claude tool_use to OpenAI tool_calls format
+				inputJSON := item.Get("input").String()
+				if inputJSON == "" {
+					// If input is an object, marshal it
+					if inputObj := item.Get("input"); inputObj.Exists() {
+						inputBytes, _ := json.Marshal(inputObj.Value())
+						inputJSON = string(inputBytes)
+					}
+				}
+				toolCall := map[string]interface{}{
+					"id":   item.Get("id").String(),
+					"type": "function",
+					"function": map[string]interface{}{
+						"name":      item.Get("name").String(),
+						"arguments": inputJSON,
+					},
+				}
+				toolCalls = append(toolCalls, toolCall)
+			}
+		}
+	} else {
+		content = root.Get("content").String()
+	}
+
+	inputTokens := root.Get("usage.input_tokens").Int()
+	outputTokens := root.Get("usage.output_tokens").Int()
+
+	message := map[string]interface{}{
+		"role":    "assistant",
+		"content": content,
+	}
+
+	// Add tool_calls if present
+	if len(toolCalls) > 0 {
+		message["tool_calls"] = toolCalls
+	}
+
+	finishReason := "stop"
+	if len(toolCalls) > 0 {
+		finishReason = "tool_calls"
+	}
+
+	response := map[string]interface{}{
+		"id":      "chatcmpl-" + uuid.New().String()[:24],
+		"object":  "chat.completion",
+		"created": time.Now().Unix(),
+		"model":   model,
+		"choices": []map[string]interface{}{
+			{
+				"index":         0,
+				"message":       message,
+				"finish_reason": finishReason,
+			},
+		},
+		"usage": map[string]interface{}{
+			"prompt_tokens":     inputTokens,
+			"completion_tokens": outputTokens,
+			"total_tokens":      inputTokens + outputTokens,
+		},
+	}
+
+	result, _ := json.Marshal(response)
+	return string(result)
+}