Merge branch 'main' into plus

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/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"
 )

internal/translator/kiro/claude/init.go

@@ -0,0 +1,20 @@
+// Package claude provides translation between Kiro and Claude formats.
+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:    ConvertKiroStreamToClaude,
+			NonStream: ConvertKiroNonStreamToClaude,
+		},
+	)
+}

internal/translator/kiro/claude/kiro_claude.go

@@ -0,0 +1,21 @@
+// Package claude provides translation between Kiro and Claude formats.
+// Since Kiro executor generates Claude-compatible SSE format internally (with event: prefix),
+// translations are pass-through for streaming, but responses need proper formatting.
+package claude
+
+import (
+	"context"
+)
+
+// ConvertKiroStreamToClaude converts Kiro streaming response to Claude format.
+// Kiro executor already generates complete SSE format with "event:" prefix,
+// so this is a simple pass-through.
+func ConvertKiroStreamToClaude(ctx context.Context, model string, originalRequest, request, rawResponse []byte, param *any) []string {
+	return []string{string(rawResponse)}
+}
+
+// ConvertKiroNonStreamToClaude converts Kiro non-streaming response to Claude format.
+// The response is already in Claude format, so this is a pass-through.
+func ConvertKiroNonStreamToClaude(ctx context.Context, model string, originalRequest, request, rawResponse []byte, param *any) string {
+	return string(rawResponse)
+}

internal/translator/kiro/claude/kiro_claude_request.go

@@ -0,0 +1,817 @@
+// Package claude provides request translation functionality for Claude API to Kiro format.
+// It handles parsing and transforming Claude API requests into the Kiro/Amazon Q API format,
+// extracting model information, system instructions, message contents, and tool declarations.
+package claude
+
+import (
+	"encoding/json"
+	"fmt"
+	"net/http"
+	"strings"
+	"time"
+	"unicode/utf8"
+
+	"github.com/google/uuid"
+	kirocommon "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/kiro/common"
+	log "github.com/sirupsen/logrus"
+	"github.com/tidwall/gjson"
+)
+
+
+// Kiro API request structs - field order determines JSON key order
+
+// KiroPayload is the top-level request structure for Kiro API
+type KiroPayload struct {
+	ConversationState KiroConversationState `json:"conversationState"`
+	ProfileArn        string                `json:"profileArn,omitempty"`
+	InferenceConfig   *KiroInferenceConfig  `json:"inferenceConfig,omitempty"`
+}
+
+// KiroInferenceConfig contains inference parameters for the Kiro API.
+type KiroInferenceConfig struct {
+	MaxTokens   int     `json:"maxTokens,omitempty"`
+	Temperature float64 `json:"temperature,omitempty"`
+	TopP        float64 `json:"topP,omitempty"`
+}
+
+
+// KiroConversationState holds the conversation context
+type KiroConversationState struct {
+	ChatTriggerType string               `json:"chatTriggerType"` // Required: "MANUAL" - must be first field
+	ConversationID  string               `json:"conversationId"`
+	CurrentMessage  KiroCurrentMessage   `json:"currentMessage"`
+	History         []KiroHistoryMessage `json:"history,omitempty"`
+}
+
+// KiroCurrentMessage wraps the current user message
+type KiroCurrentMessage struct {
+	UserInputMessage KiroUserInputMessage `json:"userInputMessage"`
+}
+
+// KiroHistoryMessage represents a message in the conversation history
+type KiroHistoryMessage struct {
+	UserInputMessage         *KiroUserInputMessage         `json:"userInputMessage,omitempty"`
+	AssistantResponseMessage *KiroAssistantResponseMessage `json:"assistantResponseMessage,omitempty"`
+}
+
+// KiroImage represents an image in Kiro API format
+type KiroImage struct {
+	Format string          `json:"format"`
+	Source KiroImageSource `json:"source"`
+}
+
+// KiroImageSource contains the image data
+type KiroImageSource struct {
+	Bytes string `json:"bytes"` // base64 encoded image data
+}
+
+// KiroUserInputMessage represents a user message
+type KiroUserInputMessage struct {
+	Content                 string                       `json:"content"`
+	ModelID                 string                       `json:"modelId"`
+	Origin                  string                       `json:"origin"`
+	Images                  []KiroImage                  `json:"images,omitempty"`
+	UserInputMessageContext *KiroUserInputMessageContext `json:"userInputMessageContext,omitempty"`
+}
+
+// KiroUserInputMessageContext contains tool-related context
+type KiroUserInputMessageContext struct {
+	ToolResults []KiroToolResult  `json:"toolResults,omitempty"`
+	Tools       []KiroToolWrapper `json:"tools,omitempty"`
+}
+
+// KiroToolResult represents a tool execution result
+type KiroToolResult struct {
+	Content   []KiroTextContent `json:"content"`
+	Status    string            `json:"status"`
+	ToolUseID string            `json:"toolUseId"`
+}
+
+// KiroTextContent represents text content
+type KiroTextContent struct {
+	Text string `json:"text"`
+}
+
+// KiroToolWrapper wraps a tool specification
+type KiroToolWrapper struct {
+	ToolSpecification KiroToolSpecification `json:"toolSpecification"`
+}
+
+// KiroToolSpecification defines a tool's schema
+type KiroToolSpecification struct {
+	Name        string          `json:"name"`
+	Description string          `json:"description"`
+	InputSchema KiroInputSchema `json:"inputSchema"`
+}
+
+// KiroInputSchema wraps the JSON schema for tool input
+type KiroInputSchema struct {
+	JSON interface{} `json:"json"`
+}
+
+// KiroAssistantResponseMessage represents an assistant message
+type KiroAssistantResponseMessage struct {
+	Content  string        `json:"content"`
+	ToolUses []KiroToolUse `json:"toolUses,omitempty"`
+}
+
+// KiroToolUse represents a tool invocation by the assistant
+type KiroToolUse struct {
+	ToolUseID string                 `json:"toolUseId"`
+	Name      string                 `json:"name"`
+	Input     map[string]interface{} `json:"input"`
+}
+
+// ConvertClaudeRequestToKiro converts a Claude API request to Kiro format.
+// This is the main entry point for request translation.
+func ConvertClaudeRequestToKiro(modelName string, inputRawJSON []byte, stream bool) []byte {
+	// For Kiro, we pass through the Claude format since buildKiroPayload
+	// expects Claude format and does the conversion internally.
+	// The actual conversion happens in the executor when building the HTTP request.
+	return inputRawJSON
+}
+
+// BuildKiroPayload constructs the Kiro API request payload from Claude format.
+// Supports tool calling - tools are passed via userInputMessageContext.
+// origin parameter determines which quota to use: "CLI" for Amazon Q, "AI_EDITOR" for Kiro IDE.
+// isAgentic parameter enables chunked write optimization prompt for -agentic model variants.
+// isChatOnly parameter disables tool calling for -chat model variants (pure conversation mode).
+// headers parameter allows checking Anthropic-Beta header for thinking mode detection.
+// metadata parameter is kept for API compatibility but no longer used for thinking configuration.
+// Supports thinking mode - when enabled, injects thinking tags into system prompt.
+// Returns the payload and a boolean indicating whether thinking mode was injected.
+func BuildKiroPayload(claudeBody []byte, modelID, profileArn, origin string, isAgentic, isChatOnly bool, headers http.Header, metadata map[string]any) ([]byte, bool) {
+	// Extract max_tokens for potential use in inferenceConfig
+	// Handle -1 as "use maximum" (Kiro max output is ~32000 tokens)
+	const kiroMaxOutputTokens = 32000
+	var maxTokens int64
+	if mt := gjson.GetBytes(claudeBody, "max_tokens"); mt.Exists() {
+		maxTokens = mt.Int()
+		if maxTokens == -1 {
+			maxTokens = kiroMaxOutputTokens
+			log.Debugf("kiro: max_tokens=-1 converted to %d", kiroMaxOutputTokens)
+		}
+	}
+
+	// Extract temperature if specified
+	var temperature float64
+	var hasTemperature bool
+	if temp := gjson.GetBytes(claudeBody, "temperature"); temp.Exists() {
+		temperature = temp.Float()
+		hasTemperature = true
+	}
+
+	// Extract top_p if specified
+	var topP float64
+	var hasTopP bool
+	if tp := gjson.GetBytes(claudeBody, "top_p"); tp.Exists() {
+		topP = tp.Float()
+		hasTopP = true
+		log.Debugf("kiro: extracted top_p: %.2f", topP)
+	}
+
+	// Normalize origin value for Kiro API compatibility
+	origin = normalizeOrigin(origin)
+	log.Debugf("kiro: normalized origin value: %s", origin)
+
+	messages := gjson.GetBytes(claudeBody, "messages")
+
+	// For chat-only mode, don't include tools
+	var tools gjson.Result
+	if !isChatOnly {
+		tools = gjson.GetBytes(claudeBody, "tools")
+	}
+
+	// Extract system prompt
+	systemPrompt := extractSystemPrompt(claudeBody)
+
+	// Check for thinking mode using the comprehensive IsThinkingEnabledWithHeaders function
+	// This supports Claude API format, OpenAI reasoning_effort, AMP/Cursor format, and Anthropic-Beta header
+	thinkingEnabled := IsThinkingEnabledWithHeaders(claudeBody, headers)
+
+	// Inject timestamp context
+	timestamp := time.Now().Format("2006-01-02 15:04:05 MST")
+	timestampContext := fmt.Sprintf("[Context: Current time is %s]", timestamp)
+	if systemPrompt != "" {
+		systemPrompt = timestampContext + "\n\n" + systemPrompt
+	} else {
+		systemPrompt = timestampContext
+	}
+	log.Debugf("kiro: injected timestamp context: %s", timestamp)
+
+	// Inject agentic optimization prompt for -agentic model variants
+	if isAgentic {
+		if systemPrompt != "" {
+			systemPrompt += "\n"
+		}
+		systemPrompt += kirocommon.KiroAgenticSystemPrompt
+	}
+
+	// Handle tool_choice parameter - Kiro doesn't support it natively, so we inject system prompt hints
+	// Claude tool_choice values: {"type": "auto/any/tool", "name": "..."}
+	toolChoiceHint := extractClaudeToolChoiceHint(claudeBody)
+	if toolChoiceHint != "" {
+		if systemPrompt != "" {
+			systemPrompt += "\n"
+		}
+		systemPrompt += toolChoiceHint
+		log.Debugf("kiro: injected tool_choice hint into system prompt")
+	}
+
+	// Convert Claude tools to Kiro format
+	kiroTools := convertClaudeToolsToKiro(tools)
+
+	// Thinking mode implementation:
+	// Kiro API supports official thinking/reasoning mode via <thinking_mode> tag.
+	// When set to "enabled", Kiro returns reasoning content as official reasoningContentEvent
+	// rather than inline <thinking> tags in assistantResponseEvent.
+	// We use a high max_thinking_length to allow extensive reasoning.
+	if thinkingEnabled {
+		thinkingHint := `<thinking_mode>enabled</thinking_mode>
+<max_thinking_length>200000</max_thinking_length>`
+		if systemPrompt != "" {
+			systemPrompt = thinkingHint + "\n\n" + systemPrompt
+		} else {
+			systemPrompt = thinkingHint
+		}
+		log.Infof("kiro: injected thinking prompt (official mode), has_tools: %v", len(kiroTools) > 0)
+	}
+
+	// Process messages and build history
+	history, currentUserMsg, currentToolResults := processMessages(messages, modelID, origin)
+
+	// Build content with system prompt (only on first turn to avoid re-injection)
+	if currentUserMsg != nil {
+		effectiveSystemPrompt := systemPrompt
+		if len(history) > 0 {
+			effectiveSystemPrompt = "" // Don't re-inject on subsequent turns
+		}
+		currentUserMsg.Content = buildFinalContent(currentUserMsg.Content, effectiveSystemPrompt, currentToolResults)
+
+		// Deduplicate currentToolResults
+		currentToolResults = deduplicateToolResults(currentToolResults)
+
+		// Build userInputMessageContext with tools and tool results
+		if len(kiroTools) > 0 || len(currentToolResults) > 0 {
+			currentUserMsg.UserInputMessageContext = &KiroUserInputMessageContext{
+				Tools:       kiroTools,
+				ToolResults: currentToolResults,
+			}
+		}
+	}
+
+	// Build payload
+	var currentMessage KiroCurrentMessage
+	if currentUserMsg != nil {
+		currentMessage = KiroCurrentMessage{UserInputMessage: *currentUserMsg}
+	} else {
+		fallbackContent := ""
+		if systemPrompt != "" {
+			fallbackContent = "--- SYSTEM PROMPT ---\n" + systemPrompt + "\n--- END SYSTEM PROMPT ---\n"
+		}
+		currentMessage = KiroCurrentMessage{UserInputMessage: KiroUserInputMessage{
+			Content: fallbackContent,
+			ModelID: modelID,
+			Origin:  origin,
+		}}
+	}
+
+	// Build inferenceConfig if we have any inference parameters
+	// Note: Kiro API doesn't actually use max_tokens for thinking budget
+	var inferenceConfig *KiroInferenceConfig
+	if maxTokens > 0 || hasTemperature || hasTopP {
+		inferenceConfig = &KiroInferenceConfig{}
+		if maxTokens > 0 {
+			inferenceConfig.MaxTokens = int(maxTokens)
+		}
+		if hasTemperature {
+			inferenceConfig.Temperature = temperature
+		}
+		if hasTopP {
+			inferenceConfig.TopP = topP
+		}
+	}
+
+	payload := KiroPayload{
+		ConversationState: KiroConversationState{
+			ChatTriggerType: "MANUAL",
+			ConversationID:  uuid.New().String(),
+			CurrentMessage:  currentMessage,
+			History:         history,
+		},
+		ProfileArn:      profileArn,
+		InferenceConfig: inferenceConfig,
+	}
+
+	result, err := json.Marshal(payload)
+	if err != nil {
+		log.Debugf("kiro: failed to marshal payload: %v", err)
+		return nil, false
+	}
+
+	return result, thinkingEnabled
+}
+
+// normalizeOrigin normalizes origin value for Kiro API compatibility
+func normalizeOrigin(origin string) string {
+	switch origin {
+	case "KIRO_CLI":
+		return "CLI"
+	case "KIRO_AI_EDITOR":
+		return "AI_EDITOR"
+	case "AMAZON_Q":
+		return "CLI"
+	case "KIRO_IDE":
+		return "AI_EDITOR"
+	default:
+		return origin
+	}
+}
+
+// extractSystemPrompt extracts system prompt from Claude request
+func extractSystemPrompt(claudeBody []byte) string {
+	systemField := gjson.GetBytes(claudeBody, "system")
+	if systemField.IsArray() {
+		var sb strings.Builder
+		for _, block := range systemField.Array() {
+			if block.Get("type").String() == "text" {
+				sb.WriteString(block.Get("text").String())
+			} else if block.Type == gjson.String {
+				sb.WriteString(block.String())
+			}
+		}
+		return sb.String()
+	}
+	return systemField.String()
+}
+
+// checkThinkingMode checks if thinking mode is enabled in the Claude request
+func checkThinkingMode(claudeBody []byte) (bool, int64) {
+	thinkingEnabled := false
+	var budgetTokens int64 = 24000
+
+	thinkingField := gjson.GetBytes(claudeBody, "thinking")
+	if thinkingField.Exists() {
+		thinkingType := thinkingField.Get("type").String()
+		if thinkingType == "enabled" {
+			thinkingEnabled = true
+			if bt := thinkingField.Get("budget_tokens"); bt.Exists() {
+				budgetTokens = bt.Int()
+				if budgetTokens <= 0 {
+					thinkingEnabled = false
+					log.Debugf("kiro: thinking mode disabled via budget_tokens <= 0")
+				}
+			}
+			if thinkingEnabled {
+				log.Debugf("kiro: thinking mode enabled via Claude API parameter, budget_tokens: %d", budgetTokens)
+			}
+		}
+	}
+
+	return thinkingEnabled, budgetTokens
+}
+
+// hasThinkingTagInBody checks if the request body already contains thinking configuration tags.
+// This is used to prevent duplicate injection when client (e.g., AMP/Cursor) already includes thinking config.
+func hasThinkingTagInBody(body []byte) bool {
+	bodyStr := string(body)
+	return strings.Contains(bodyStr, "<thinking_mode>") || strings.Contains(bodyStr, "<max_thinking_length>")
+}
+
+
+// IsThinkingEnabledFromHeader checks if thinking mode is enabled via Anthropic-Beta header.
+// Claude CLI uses "Anthropic-Beta: interleaved-thinking-2025-05-14" to enable thinking.
+func IsThinkingEnabledFromHeader(headers http.Header) bool {
+	if headers == nil {
+		return false
+	}
+	betaHeader := headers.Get("Anthropic-Beta")
+	if betaHeader == "" {
+		return false
+	}
+	// Check for interleaved-thinking beta feature
+	if strings.Contains(betaHeader, "interleaved-thinking") {
+		log.Debugf("kiro: thinking mode enabled via Anthropic-Beta header: %s", betaHeader)
+		return true
+	}
+	return false
+}
+
+// IsThinkingEnabled is a public wrapper to check if thinking mode is enabled.
+// This is used by the executor to determine whether to parse <thinking> tags in responses.
+// When thinking is NOT enabled in the request, <thinking> tags in responses should be
+// treated as regular text content, not as thinking blocks.
+//
+// Supports multiple formats:
+// - Claude API format: thinking.type = "enabled"
+// - OpenAI format: reasoning_effort parameter
+// - AMP/Cursor format: <thinking_mode>interleaved</thinking_mode> in system prompt
+func IsThinkingEnabled(body []byte) bool {
+	return IsThinkingEnabledWithHeaders(body, nil)
+}
+
+// IsThinkingEnabledWithHeaders checks if thinking mode is enabled from body or headers.
+// This is the comprehensive check that supports all thinking detection methods:
+// - Claude API format: thinking.type = "enabled"
+// - OpenAI format: reasoning_effort parameter
+// - AMP/Cursor format: <thinking_mode>interleaved</thinking_mode> in system prompt
+// - Anthropic-Beta header: interleaved-thinking-2025-05-14
+func IsThinkingEnabledWithHeaders(body []byte, headers http.Header) bool {
+	// Check Anthropic-Beta header first (Claude Code uses this)
+	if IsThinkingEnabledFromHeader(headers) {
+		return true
+	}
+
+	// Check Claude API format first (thinking.type = "enabled")
+	enabled, _ := checkThinkingMode(body)
+	if enabled {
+		log.Debugf("kiro: IsThinkingEnabled returning true (Claude API format)")
+		return true
+	}
+
+	// Check OpenAI format: reasoning_effort parameter
+	// Valid values: "low", "medium", "high", "auto" (not "none")
+	reasoningEffort := gjson.GetBytes(body, "reasoning_effort")
+	if reasoningEffort.Exists() {
+		effort := reasoningEffort.String()
+		if effort != "" && effort != "none" {
+			log.Debugf("kiro: thinking mode enabled via OpenAI reasoning_effort: %s", effort)
+			return true
+		}
+	}
+
+	// Check AMP/Cursor format: <thinking_mode>interleaved</thinking_mode> in system prompt
+	// This is how AMP client passes thinking configuration
+	bodyStr := string(body)
+	if strings.Contains(bodyStr, "<thinking_mode>") && strings.Contains(bodyStr, "</thinking_mode>") {
+		// Extract thinking mode value
+		startTag := "<thinking_mode>"
+		endTag := "</thinking_mode>"
+		startIdx := strings.Index(bodyStr, startTag)
+		if startIdx >= 0 {
+			startIdx += len(startTag)
+			endIdx := strings.Index(bodyStr[startIdx:], endTag)
+			if endIdx >= 0 {
+				thinkingMode := bodyStr[startIdx : startIdx+endIdx]
+				if thinkingMode == "interleaved" || thinkingMode == "enabled" {
+					log.Debugf("kiro: thinking mode enabled via AMP/Cursor format: %s", thinkingMode)
+					return true
+				}
+			}
+		}
+	}
+
+	// Check OpenAI format: max_completion_tokens with reasoning (o1-style)
+	// Some clients use this to indicate reasoning mode
+	if gjson.GetBytes(body, "max_completion_tokens").Exists() {
+		// If max_completion_tokens is set, check if model name suggests reasoning
+		model := gjson.GetBytes(body, "model").String()
+		if strings.Contains(strings.ToLower(model), "thinking") ||
+			strings.Contains(strings.ToLower(model), "reason") {
+			log.Debugf("kiro: thinking mode enabled via model name hint: %s", model)
+			return true
+		}
+	}
+
+	log.Debugf("kiro: IsThinkingEnabled returning false (no thinking mode detected)")
+	return false
+}
+
+// shortenToolNameIfNeeded shortens tool names that exceed 64 characters.
+// MCP tools often have long names like "mcp__server-name__tool-name".
+// This preserves the "mcp__" prefix and last segment when possible.
+func shortenToolNameIfNeeded(name string) string {
+	const limit = 64
+	if len(name) <= limit {
+		return name
+	}
+	// For MCP tools, try to preserve prefix and last segment
+	if strings.HasPrefix(name, "mcp__") {
+		idx := strings.LastIndex(name, "__")
+		if idx > 0 {
+			cand := "mcp__" + name[idx+2:]
+			if len(cand) > limit {
+				return cand[:limit]
+			}
+			return cand
+		}
+	}
+	return name[:limit]
+}
+
+// convertClaudeToolsToKiro converts Claude tools to Kiro format
+func convertClaudeToolsToKiro(tools gjson.Result) []KiroToolWrapper {
+	var kiroTools []KiroToolWrapper
+	if !tools.IsArray() {
+		return kiroTools
+	}
+
+	for _, tool := range tools.Array() {
+		name := tool.Get("name").String()
+		description := tool.Get("description").String()
+		inputSchema := tool.Get("input_schema").Value()
+
+		// Shorten tool name if it exceeds 64 characters (common with MCP tools)
+		originalName := name
+		name = shortenToolNameIfNeeded(name)
+		if name != originalName {
+			log.Debugf("kiro: shortened tool name from '%s' to '%s'", originalName, name)
+		}
+
+		// CRITICAL FIX: Kiro API requires non-empty description
+		if strings.TrimSpace(description) == "" {
+			description = fmt.Sprintf("Tool: %s", name)
+			log.Debugf("kiro: tool '%s' has empty description, using default: %s", name, description)
+		}
+
+		// Truncate long descriptions (individual tool limit)
+		if len(description) > kirocommon.KiroMaxToolDescLen {
+			truncLen := kirocommon.KiroMaxToolDescLen - 30
+			for truncLen > 0 && !utf8.RuneStart(description[truncLen]) {
+				truncLen--
+			}
+			description = description[:truncLen] + "... (description truncated)"
+		}
+
+		kiroTools = append(kiroTools, KiroToolWrapper{
+			ToolSpecification: KiroToolSpecification{
+				Name:        name,
+				Description: description,
+				InputSchema: KiroInputSchema{JSON: inputSchema},
+			},
+		})
+	}
+
+	// Apply dynamic compression if total tools size exceeds threshold
+	// This prevents 500 errors when Claude Code sends too many tools
+	kiroTools = compressToolsIfNeeded(kiroTools)
+
+	return kiroTools
+}
+
+// processMessages processes Claude messages and builds Kiro history
+func processMessages(messages gjson.Result, modelID, origin string) ([]KiroHistoryMessage, *KiroUserInputMessage, []KiroToolResult) {
+	var history []KiroHistoryMessage
+	var currentUserMsg *KiroUserInputMessage
+	var currentToolResults []KiroToolResult
+
+	// Merge adjacent messages with the same role
+	messagesArray := kirocommon.MergeAdjacentMessages(messages.Array())
+	for i, msg := range messagesArray {
+		role := msg.Get("role").String()
+		isLastMessage := i == len(messagesArray)-1
+
+		if role == "user" {
+			userMsg, toolResults := BuildUserMessageStruct(msg, modelID, origin)
+			if isLastMessage {
+				currentUserMsg = &userMsg
+				currentToolResults = toolResults
+			} else {
+				// CRITICAL: Kiro API requires content to be non-empty for history messages too
+				if strings.TrimSpace(userMsg.Content) == "" {
+					if len(toolResults) > 0 {
+						userMsg.Content = "Tool results provided."
+					} else {
+						userMsg.Content = "Continue"
+					}
+				}
+				// For history messages, embed tool results in context
+				if len(toolResults) > 0 {
+					userMsg.UserInputMessageContext = &KiroUserInputMessageContext{
+						ToolResults: toolResults,
+					}
+				}
+				history = append(history, KiroHistoryMessage{
+					UserInputMessage: &userMsg,
+				})
+			}
+		} else if role == "assistant" {
+			assistantMsg := BuildAssistantMessageStruct(msg)
+			if isLastMessage {
+				history = append(history, KiroHistoryMessage{
+					AssistantResponseMessage: &assistantMsg,
+				})
+				// Create a "Continue" user message as currentMessage
+				currentUserMsg = &KiroUserInputMessage{
+					Content: "Continue",
+					ModelID: modelID,
+					Origin:  origin,
+				}
+			} else {
+				history = append(history, KiroHistoryMessage{
+					AssistantResponseMessage: &assistantMsg,
+				})
+			}
+		}
+	}
+
+	return history, currentUserMsg, currentToolResults
+}
+
+// buildFinalContent builds the final content with system prompt
+func buildFinalContent(content, systemPrompt string, toolResults []KiroToolResult) string {
+	var contentBuilder strings.Builder
+
+	if systemPrompt != "" {
+		contentBuilder.WriteString("--- SYSTEM PROMPT ---\n")
+		contentBuilder.WriteString(systemPrompt)
+		contentBuilder.WriteString("\n--- END SYSTEM PROMPT ---\n\n")
+	}
+
+	contentBuilder.WriteString(content)
+	finalContent := contentBuilder.String()
+
+	// CRITICAL: Kiro API requires content to be non-empty
+	if strings.TrimSpace(finalContent) == "" {
+		if len(toolResults) > 0 {
+			finalContent = "Tool results provided."
+		} else {
+			finalContent = "Continue"
+		}
+		log.Debugf("kiro: content was empty, using default: %s", finalContent)
+	}
+
+	return finalContent
+}
+
+// deduplicateToolResults removes duplicate tool results
+func deduplicateToolResults(toolResults []KiroToolResult) []KiroToolResult {
+	if len(toolResults) == 0 {
+		return toolResults
+	}
+
+	seenIDs := make(map[string]bool)
+	unique := make([]KiroToolResult, 0, len(toolResults))
+	for _, tr := range toolResults {
+		if !seenIDs[tr.ToolUseID] {
+			seenIDs[tr.ToolUseID] = true
+			unique = append(unique, tr)
+		} else {
+			log.Debugf("kiro: skipping duplicate toolResult in currentMessage: %s", tr.ToolUseID)
+		}
+	}
+	return unique
+}
+
+// extractClaudeToolChoiceHint extracts tool_choice from Claude request and returns a system prompt hint.
+// Claude tool_choice values:
+// - {"type": "auto"}: Model decides (default, no hint needed)
+// - {"type": "any"}: Must use at least one tool
+// - {"type": "tool", "name": "..."}: Must use specific tool
+func extractClaudeToolChoiceHint(claudeBody []byte) string {
+	toolChoice := gjson.GetBytes(claudeBody, "tool_choice")
+	if !toolChoice.Exists() {
+		return ""
+	}
+
+	toolChoiceType := toolChoice.Get("type").String()
+	switch toolChoiceType {
+	case "any":
+		return "[INSTRUCTION: You MUST use at least one of the available tools to respond. Do not respond with text only - always make a tool call.]"
+	case "tool":
+		toolName := toolChoice.Get("name").String()
+		if toolName != "" {
+			return fmt.Sprintf("[INSTRUCTION: You MUST use the tool named '%s' to respond. Do not use any other tool or respond with text only.]", toolName)
+		}
+	case "auto":
+		// Default behavior, no hint needed
+		return ""
+	}
+
+	return ""
+}
+
+// BuildUserMessageStruct builds a user message and extracts tool results
+func BuildUserMessageStruct(msg gjson.Result, modelID, origin string) (KiroUserInputMessage, []KiroToolResult) {
+	content := msg.Get("content")
+	var contentBuilder strings.Builder
+	var toolResults []KiroToolResult
+	var images []KiroImage
+
+	// Track seen toolUseIds to deduplicate
+	seenToolUseIDs := make(map[string]bool)
+
+	if content.IsArray() {
+		for _, part := range content.Array() {
+			partType := part.Get("type").String()
+			switch partType {
+			case "text":
+				contentBuilder.WriteString(part.Get("text").String())
+			case "image":
+				mediaType := part.Get("source.media_type").String()
+				data := part.Get("source.data").String()
+
+				format := ""
+				if idx := strings.LastIndex(mediaType, "/"); idx != -1 {
+					format = mediaType[idx+1:]
+				}
+
+				if format != "" && data != "" {
+					images = append(images, KiroImage{
+						Format: format,
+						Source: KiroImageSource{
+							Bytes: data,
+						},
+					})
+				}
+			case "tool_result":
+				toolUseID := part.Get("tool_use_id").String()
+
+				// Skip duplicate toolUseIds
+				if seenToolUseIDs[toolUseID] {
+					log.Debugf("kiro: skipping duplicate tool_result with toolUseId: %s", toolUseID)
+					continue
+				}
+				seenToolUseIDs[toolUseID] = true
+
+				isError := part.Get("is_error").Bool()
+				resultContent := part.Get("content")
+
+				var textContents []KiroTextContent
+				if resultContent.IsArray() {
+					for _, item := range resultContent.Array() {
+						if item.Get("type").String() == "text" {
+							textContents = append(textContents, KiroTextContent{Text: item.Get("text").String()})
+						} else if item.Type == gjson.String {
+							textContents = append(textContents, KiroTextContent{Text: item.String()})
+						}
+					}
+				} else if resultContent.Type == gjson.String {
+					textContents = append(textContents, KiroTextContent{Text: resultContent.String()})
+				}
+
+				if len(textContents) == 0 {
+					textContents = append(textContents, KiroTextContent{Text: "Tool use was cancelled by the user"})
+				}
+
+				status := "success"
+				if isError {
+					status = "error"
+				}
+
+				toolResults = append(toolResults, KiroToolResult{
+					ToolUseID: toolUseID,
+					Content:   textContents,
+					Status:    status,
+				})
+			}
+		}
+	} else {
+		contentBuilder.WriteString(content.String())
+	}
+
+	userMsg := KiroUserInputMessage{
+		Content: contentBuilder.String(),
+		ModelID: modelID,
+		Origin:  origin,
+	}
+
+	if len(images) > 0 {
+		userMsg.Images = images
+	}
+
+	return userMsg, toolResults
+}
+
+// BuildAssistantMessageStruct builds an assistant message with tool uses
+func BuildAssistantMessageStruct(msg gjson.Result) KiroAssistantResponseMessage {
+	content := msg.Get("content")
+	var contentBuilder strings.Builder
+	var toolUses []KiroToolUse
+
+	if content.IsArray() {
+		for _, part := range content.Array() {
+			partType := part.Get("type").String()
+			switch partType {
+			case "text":
+				contentBuilder.WriteString(part.Get("text").String())
+			case "tool_use":
+				toolUseID := part.Get("id").String()
+				toolName := part.Get("name").String()
+				toolInput := part.Get("input")
+
+				var inputMap map[string]interface{}
+				if toolInput.IsObject() {
+					inputMap = make(map[string]interface{})
+					toolInput.ForEach(func(key, value gjson.Result) bool {
+						inputMap[key.String()] = value.Value()
+						return true
+					})
+				}
+
+				toolUses = append(toolUses, KiroToolUse{
+					ToolUseID: toolUseID,
+					Name:      toolName,
+					Input:     inputMap,
+				})
+			}
+		}
+	} else {
+		contentBuilder.WriteString(content.String())
+	}
+
+	return KiroAssistantResponseMessage{
+		Content:  contentBuilder.String(),
+		ToolUses: toolUses,
+	}
+}

internal/translator/kiro/claude/kiro_claude_response.go

@@ -0,0 +1,204 @@
+// Package claude provides response translation functionality for Kiro API to Claude format.
+// This package handles the conversion of Kiro API responses into Claude-compatible format,
+// including support for thinking blocks and tool use.
+package claude
+
+import (
+	"crypto/sha256"
+	"encoding/base64"
+	"encoding/json"
+	"strings"
+
+	"github.com/google/uuid"
+	"github.com/router-for-me/CLIProxyAPI/v6/sdk/cliproxy/usage"
+	log "github.com/sirupsen/logrus"
+
+	kirocommon "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/kiro/common"
+)
+
+// generateThinkingSignature generates a signature for thinking content.
+// This is required by Claude API for thinking blocks in non-streaming responses.
+// The signature is a base64-encoded hash of the thinking content.
+func generateThinkingSignature(thinkingContent string) string {
+	if thinkingContent == "" {
+		return ""
+	}
+	// Generate a deterministic signature based on content hash
+	hash := sha256.Sum256([]byte(thinkingContent))
+	return base64.StdEncoding.EncodeToString(hash[:])
+}
+
+// Local references to kirocommon constants for thinking block parsing
+var (
+	thinkingStartTag = kirocommon.ThinkingStartTag
+	thinkingEndTag   = kirocommon.ThinkingEndTag
+)
+
+// BuildClaudeResponse constructs a Claude-compatible response.
+// Supports tool_use blocks when tools are present in the response.
+// Supports thinking blocks - parses <thinking> tags and converts to Claude thinking content blocks.
+// stopReason is passed from upstream; fallback logic applied if empty.
+func BuildClaudeResponse(content string, toolUses []KiroToolUse, model string, usageInfo usage.Detail, stopReason string) []byte {
+	var contentBlocks []map[string]interface{}
+
+	// Extract thinking blocks and text from content
+	if content != "" {
+		blocks := ExtractThinkingFromContent(content)
+		contentBlocks = append(contentBlocks, blocks...)
+
+		// Log if thinking blocks were extracted
+		for _, block := range blocks {
+			if block["type"] == "thinking" {
+				thinkingContent := block["thinking"].(string)
+				log.Infof("kiro: buildClaudeResponse extracted thinking block (len: %d)", len(thinkingContent))
+			}
+		}
+	}
+
+	// Add tool_use blocks
+	for _, toolUse := range toolUses {
+		contentBlocks = append(contentBlocks, map[string]interface{}{
+			"type":  "tool_use",
+			"id":    toolUse.ToolUseID,
+			"name":  toolUse.Name,
+			"input": toolUse.Input,
+		})
+	}
+
+	// Ensure at least one content block (Claude API requires non-empty content)
+	if len(contentBlocks) == 0 {
+		contentBlocks = append(contentBlocks, map[string]interface{}{
+			"type": "text",
+			"text": "",
+		})
+	}
+
+	// Use upstream stopReason; apply fallback logic if not provided
+	if stopReason == "" {
+		stopReason = "end_turn"
+		if len(toolUses) > 0 {
+			stopReason = "tool_use"
+		}
+		log.Debugf("kiro: buildClaudeResponse using fallback stop_reason: %s", stopReason)
+	}
+
+	// Log warning if response was truncated due to max_tokens
+	if stopReason == "max_tokens" {
+		log.Warnf("kiro: response truncated due to max_tokens limit (buildClaudeResponse)")
+	}
+
+	response := map[string]interface{}{
+		"id":          "msg_" + uuid.New().String()[:24],
+		"type":        "message",
+		"role":        "assistant",
+		"model":       model,
+		"content":     contentBlocks,
+		"stop_reason": stopReason,
+		"usage": map[string]interface{}{
+			"input_tokens":  usageInfo.InputTokens,
+			"output_tokens": usageInfo.OutputTokens,
+		},
+	}
+	result, _ := json.Marshal(response)
+	return result
+}
+
+// ExtractThinkingFromContent parses content to extract thinking blocks and text.
+// Returns a list of content blocks in the order they appear in the content.
+// Handles interleaved thinking and text blocks correctly.
+func ExtractThinkingFromContent(content string) []map[string]interface{} {
+	var blocks []map[string]interface{}
+
+	if content == "" {
+		return blocks
+	}
+
+	// Check if content contains thinking tags at all
+	if !strings.Contains(content, thinkingStartTag) {
+		// No thinking tags, return as plain text
+		return []map[string]interface{}{
+			{
+				"type": "text",
+				"text": content,
+			},
+		}
+	}
+
+	log.Debugf("kiro: extractThinkingFromContent - found thinking tags in content (len: %d)", len(content))
+
+	remaining := content
+
+	for len(remaining) > 0 {
+		// Look for <thinking> tag
+		startIdx := strings.Index(remaining, thinkingStartTag)
+
+		if startIdx == -1 {
+			// No more thinking tags, add remaining as text
+			if strings.TrimSpace(remaining) != "" {
+				blocks = append(blocks, map[string]interface{}{
+					"type": "text",
+					"text": remaining,
+				})
+			}
+			break
+		}
+
+		// Add text before thinking tag (if any meaningful content)
+		if startIdx > 0 {
+			textBefore := remaining[:startIdx]
+			if strings.TrimSpace(textBefore) != "" {
+				blocks = append(blocks, map[string]interface{}{
+					"type": "text",
+					"text": textBefore,
+				})
+			}
+		}
+
+		// Move past the opening tag
+		remaining = remaining[startIdx+len(thinkingStartTag):]
+
+		// Find closing tag
+		endIdx := strings.Index(remaining, thinkingEndTag)
+
+		if endIdx == -1 {
+			// No closing tag found, treat rest as thinking content (incomplete response)
+			if strings.TrimSpace(remaining) != "" {
+				// Generate signature for thinking content (required by Claude API)
+				signature := generateThinkingSignature(remaining)
+				blocks = append(blocks, map[string]interface{}{
+					"type":      "thinking",
+					"thinking":  remaining,
+					"signature": signature,
+				})
+				log.Warnf("kiro: extractThinkingFromContent - missing closing </thinking> tag")
+			}
+			break
+		}
+
+		// Extract thinking content between tags
+		thinkContent := remaining[:endIdx]
+		if strings.TrimSpace(thinkContent) != "" {
+			// Generate signature for thinking content (required by Claude API)
+			signature := generateThinkingSignature(thinkContent)
+			blocks = append(blocks, map[string]interface{}{
+				"type":      "thinking",
+				"thinking":  thinkContent,
+				"signature": signature,
+			})
+			log.Debugf("kiro: extractThinkingFromContent - extracted thinking block (len: %d)", len(thinkContent))
+		}
+
+		// Move past the closing tag
+		remaining = remaining[endIdx+len(thinkingEndTag):]
+	}
+
+	// If no blocks were created (all whitespace), return empty text block
+	if len(blocks) == 0 {
+		blocks = append(blocks, map[string]interface{}{
+			"type": "text",
+			"text": "",
+		})
+	}
+
+	return blocks
+}

internal/translator/kiro/claude/kiro_claude_stream.go

@@ -0,0 +1,186 @@
+// Package claude provides streaming SSE event building for Claude format.
+// This package handles the construction of Claude-compatible Server-Sent Events (SSE)
+// for streaming responses from Kiro API.
+package claude
+
+import (
+	"encoding/json"
+
+	"github.com/google/uuid"
+	"github.com/router-for-me/CLIProxyAPI/v6/sdk/cliproxy/usage"
+)
+
+// BuildClaudeMessageStartEvent creates the message_start SSE event
+func BuildClaudeMessageStartEvent(model string, inputTokens int64) []byte {
+	event := map[string]interface{}{
+		"type": "message_start",
+		"message": map[string]interface{}{
+			"id":            "msg_" + uuid.New().String()[:24],
+			"type":          "message",
+			"role":          "assistant",
+			"content":       []interface{}{},
+			"model":         model,
+			"stop_reason":   nil,
+			"stop_sequence": nil,
+			"usage":         map[string]interface{}{"input_tokens": inputTokens, "output_tokens": 0},
+		},
+	}
+	result, _ := json.Marshal(event)
+	return []byte("event: message_start\ndata: " + string(result))
+}
+
+// BuildClaudeContentBlockStartEvent creates a content_block_start SSE event
+func BuildClaudeContentBlockStartEvent(index int, blockType, toolUseID, toolName string) []byte {
+	var contentBlock map[string]interface{}
+	switch blockType {
+	case "tool_use":
+		contentBlock = map[string]interface{}{
+			"type":  "tool_use",
+			"id":    toolUseID,
+			"name":  toolName,
+			"input": map[string]interface{}{},
+		}
+	case "thinking":
+		contentBlock = map[string]interface{}{
+			"type":     "thinking",
+			"thinking": "",
+		}
+	default:
+		contentBlock = map[string]interface{}{
+			"type": "text",
+			"text": "",
+		}
+	}
+
+	event := map[string]interface{}{
+		"type":          "content_block_start",
+		"index":         index,
+		"content_block": contentBlock,
+	}
+	result, _ := json.Marshal(event)
+	return []byte("event: content_block_start\ndata: " + string(result))
+}
+
+// BuildClaudeStreamEvent creates a text_delta content_block_delta SSE event
+func BuildClaudeStreamEvent(contentDelta string, index int) []byte {
+	event := map[string]interface{}{
+		"type":  "content_block_delta",
+		"index": index,
+		"delta": map[string]interface{}{
+			"type": "text_delta",
+			"text": contentDelta,
+		},
+	}
+	result, _ := json.Marshal(event)
+	return []byte("event: content_block_delta\ndata: " + string(result))
+}
+
+// BuildClaudeInputJsonDeltaEvent creates an input_json_delta event for tool use streaming
+func BuildClaudeInputJsonDeltaEvent(partialJSON string, index int) []byte {
+	event := map[string]interface{}{
+		"type":  "content_block_delta",
+		"index": index,
+		"delta": map[string]interface{}{
+			"type":         "input_json_delta",
+			"partial_json": partialJSON,
+		},
+	}
+	result, _ := json.Marshal(event)
+	return []byte("event: content_block_delta\ndata: " + string(result))
+}
+
+// BuildClaudeContentBlockStopEvent creates a content_block_stop SSE event
+func BuildClaudeContentBlockStopEvent(index int) []byte {
+	event := map[string]interface{}{
+		"type":  "content_block_stop",
+		"index": index,
+	}
+	result, _ := json.Marshal(event)
+	return []byte("event: content_block_stop\ndata: " + string(result))
+}
+
+// BuildClaudeThinkingBlockStopEvent creates a content_block_stop SSE event for thinking blocks.
+func BuildClaudeThinkingBlockStopEvent(index int) []byte {
+	event := map[string]interface{}{
+		"type":  "content_block_stop",
+		"index": index,
+	}
+	result, _ := json.Marshal(event)
+	return []byte("event: content_block_stop\ndata: " + string(result))
+}
+
+// BuildClaudeMessageDeltaEvent creates the message_delta event with stop_reason and usage
+func BuildClaudeMessageDeltaEvent(stopReason string, usageInfo usage.Detail) []byte {
+	deltaEvent := map[string]interface{}{
+		"type": "message_delta",
+		"delta": map[string]interface{}{
+			"stop_reason":   stopReason,
+			"stop_sequence": nil,
+		},
+		"usage": map[string]interface{}{
+			"input_tokens":  usageInfo.InputTokens,
+			"output_tokens": usageInfo.OutputTokens,
+		},
+	}
+	deltaResult, _ := json.Marshal(deltaEvent)
+	return []byte("event: message_delta\ndata: " + string(deltaResult))
+}
+
+// BuildClaudeMessageStopOnlyEvent creates only the message_stop event
+func BuildClaudeMessageStopOnlyEvent() []byte {
+	stopEvent := map[string]interface{}{
+		"type": "message_stop",
+	}
+	stopResult, _ := json.Marshal(stopEvent)
+	return []byte("event: message_stop\ndata: " + string(stopResult))
+}
+
+// BuildClaudePingEventWithUsage creates a ping event with embedded usage information.
+// This is used for real-time usage estimation during streaming.
+func BuildClaudePingEventWithUsage(inputTokens, outputTokens int64) []byte {
+	event := map[string]interface{}{
+		"type": "ping",
+		"usage": map[string]interface{}{
+			"input_tokens":  inputTokens,
+			"output_tokens": outputTokens,
+			"total_tokens":  inputTokens + outputTokens,
+			"estimated":     true,
+		},
+	}
+	result, _ := json.Marshal(event)
+	return []byte("event: ping\ndata: " + string(result))
+}
+
+// BuildClaudeThinkingDeltaEvent creates a thinking_delta event for Claude API compatibility.
+// This is used when streaming thinking content wrapped in <thinking> tags.
+func BuildClaudeThinkingDeltaEvent(thinkingDelta string, index int) []byte {
+	event := map[string]interface{}{
+		"type":  "content_block_delta",
+		"index": index,
+		"delta": map[string]interface{}{
+			"type":     "thinking_delta",
+			"thinking": thinkingDelta,
+		},
+	}
+	result, _ := json.Marshal(event)
+	return []byte("event: content_block_delta\ndata: " + string(result))
+}
+
+// PendingTagSuffix detects if the buffer ends with a partial prefix of the given tag.
+// Returns the length of the partial match (0 if no match).
+// Based on amq2api implementation for handling cross-chunk tag boundaries.
+func PendingTagSuffix(buffer, tag string) int {
+	if buffer == "" || tag == "" {
+		return 0
+	}
+	maxLen := len(buffer)
+	if maxLen > len(tag)-1 {
+		maxLen = len(tag) - 1
+	}
+	for length := maxLen; length > 0; length-- {
+		if len(buffer) >= length && buffer[len(buffer)-length:] == tag[:length] {
+			return length
+		}
+	}
+	return 0
+}

internal/translator/kiro/claude/kiro_claude_tools.go

@@ -0,0 +1,522 @@
+// Package claude provides tool calling support for Kiro to Claude translation.
+// This package handles parsing embedded tool calls, JSON repair, and deduplication.
+package claude
+
+import (
+	"encoding/json"
+	"regexp"
+	"strings"
+
+	"github.com/google/uuid"
+	kirocommon "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/kiro/common"
+	log "github.com/sirupsen/logrus"
+)
+
+// ToolUseState tracks the state of an in-progress tool use during streaming.
+type ToolUseState struct {
+	ToolUseID   string
+	Name        string
+	InputBuffer strings.Builder
+	IsComplete  bool
+}
+
+// Pre-compiled regex patterns for performance
+var (
+	// embeddedToolCallPattern matches [Called tool_name with args: {...}] format
+	embeddedToolCallPattern = regexp.MustCompile(`\[Called\s+([A-Za-z0-9_.-]+)\s+with\s+args:\s*`)
+	// trailingCommaPattern matches trailing commas before closing braces/brackets
+	trailingCommaPattern = regexp.MustCompile(`,\s*([}\]])`)
+)
+
+// ParseEmbeddedToolCalls extracts [Called tool_name with args: {...}] format from text.
+// Kiro sometimes embeds tool calls in text content instead of using toolUseEvent.
+// Returns the cleaned text (with tool calls removed) and extracted tool uses.
+func ParseEmbeddedToolCalls(text string, processedIDs map[string]bool) (string, []KiroToolUse) {
+	if !strings.Contains(text, "[Called") {
+		return text, nil
+	}
+
+	var toolUses []KiroToolUse
+	cleanText := text
+
+	// Find all [Called markers
+	matches := embeddedToolCallPattern.FindAllStringSubmatchIndex(text, -1)
+	if len(matches) == 0 {
+		return text, nil
+	}
+
+	// Process matches in reverse order to maintain correct indices
+	for i := len(matches) - 1; i >= 0; i-- {
+		matchStart := matches[i][0]
+		toolNameStart := matches[i][2]
+		toolNameEnd := matches[i][3]
+
+		if toolNameStart < 0 || toolNameEnd < 0 {
+			continue
+		}
+
+		toolName := text[toolNameStart:toolNameEnd]
+
+		// Find the JSON object start (after "with args:")
+		jsonStart := matches[i][1]
+		if jsonStart >= len(text) {
+			continue
+		}
+
+		// Skip whitespace to find the opening brace
+		for jsonStart < len(text) && (text[jsonStart] == ' ' || text[jsonStart] == '\t') {
+			jsonStart++
+		}
+
+		if jsonStart >= len(text) || text[jsonStart] != '{' {
+			continue
+		}
+
+		// Find matching closing bracket
+		jsonEnd := findMatchingBracket(text, jsonStart)
+		if jsonEnd < 0 {
+			continue
+		}
+
+		// Extract JSON and find the closing bracket of [Called ...]
+		jsonStr := text[jsonStart : jsonEnd+1]
+
+		// Find the closing ] after the JSON
+		closingBracket := jsonEnd + 1
+		for closingBracket < len(text) && text[closingBracket] != ']' {
+			closingBracket++
+		}
+		if closingBracket >= len(text) {
+			continue
+		}
+
+		// End index of the full tool call (closing ']' inclusive)
+		matchEnd := closingBracket + 1
+
+		// Repair and parse JSON
+		repairedJSON := RepairJSON(jsonStr)
+		var inputMap map[string]interface{}
+		if err := json.Unmarshal([]byte(repairedJSON), &inputMap); err != nil {
+			log.Debugf("kiro: failed to parse embedded tool call JSON: %v, raw: %s", err, jsonStr)
+			continue
+		}
+
+		// Generate unique tool ID
+		toolUseID := "toolu_" + uuid.New().String()[:12]
+
+		// Check for duplicates using name+input as key
+		dedupeKey := toolName + ":" + repairedJSON
+		if processedIDs != nil {
+			if processedIDs[dedupeKey] {
+				log.Debugf("kiro: skipping duplicate embedded tool call: %s", toolName)
+				// Still remove from text even if duplicate
+				if matchStart >= 0 && matchEnd <= len(cleanText) && matchStart <= matchEnd {
+					cleanText = cleanText[:matchStart] + cleanText[matchEnd:]
+				}
+				continue
+			}
+			processedIDs[dedupeKey] = true
+		}
+
+		toolUses = append(toolUses, KiroToolUse{
+			ToolUseID: toolUseID,
+			Name:      toolName,
+			Input:     inputMap,
+		})
+
+		log.Infof("kiro: extracted embedded tool call: %s (ID: %s)", toolName, toolUseID)
+
+		// Remove from clean text (index-based removal to avoid deleting the wrong occurrence)
+		if matchStart >= 0 && matchEnd <= len(cleanText) && matchStart <= matchEnd {
+			cleanText = cleanText[:matchStart] + cleanText[matchEnd:]
+		}
+	}
+
+	return cleanText, toolUses
+}
+
+// findMatchingBracket finds the index of the closing brace/bracket that matches
+// the opening one at startPos. Handles nested objects and strings correctly.
+func findMatchingBracket(text string, startPos int) int {
+	if startPos >= len(text) {
+		return -1
+	}
+
+	openChar := text[startPos]
+	var closeChar byte
+	switch openChar {
+	case '{':
+		closeChar = '}'
+	case '[':
+		closeChar = ']'
+	default:
+		return -1
+	}
+
+	depth := 1
+	inString := false
+	escapeNext := false
+
+	for i := startPos + 1; i < len(text); i++ {
+		char := text[i]
+
+		if escapeNext {
+			escapeNext = false
+			continue
+		}
+
+		if char == '\\' && inString {
+			escapeNext = true
+			continue
+		}
+
+		if char == '"' {
+			inString = !inString
+			continue
+		}
+
+		if !inString {
+			if char == openChar {
+				depth++
+			} else if char == closeChar {
+				depth--
+				if depth == 0 {
+					return i
+				}
+			}
+		}
+	}
+
+	return -1
+}
+
+// RepairJSON attempts to fix common JSON issues that may occur in tool call arguments.
+// Conservative repair strategy:
+// 1. First try to parse JSON directly - if valid, return as-is
+// 2. Only attempt repair if parsing fails
+// 3. After repair, validate the result - if still invalid, return original
+func RepairJSON(jsonString string) string {
+	// Handle empty or invalid input
+	if jsonString == "" {
+		return "{}"
+	}
+
+	str := strings.TrimSpace(jsonString)
+	if str == "" {
+		return "{}"
+	}
+
+	// CONSERVATIVE STRATEGY: First try to parse directly
+	var testParse interface{}
+	if err := json.Unmarshal([]byte(str), &testParse); err == nil {
+		log.Debugf("kiro: repairJSON - JSON is already valid, returning unchanged")
+		return str
+	}
+
+	log.Debugf("kiro: repairJSON - JSON parse failed, attempting repair")
+	originalStr := str
+
+	// First, escape unescaped newlines/tabs within JSON string values
+	str = escapeNewlinesInStrings(str)
+	// Remove trailing commas before closing braces/brackets
+	str = trailingCommaPattern.ReplaceAllString(str, "$1")
+
+	// Calculate bracket balance
+	braceCount := 0
+	bracketCount := 0
+	inString := false
+	escape := false
+	lastValidIndex := -1
+
+	for i := 0; i < len(str); i++ {
+		char := str[i]
+
+		if escape {
+			escape = false
+			continue
+		}
+
+		if char == '\\' {
+			escape = true
+			continue
+		}
+
+		if char == '"' {
+			inString = !inString
+			continue
+		}
+
+		if inString {
+			continue
+		}
+
+		switch char {
+		case '{':
+			braceCount++
+		case '}':
+			braceCount--
+		case '[':
+			bracketCount++
+		case ']':
+			bracketCount--
+		}
+
+		if braceCount >= 0 && bracketCount >= 0 {
+			lastValidIndex = i
+		}
+	}
+
+	// If brackets are unbalanced, try to repair
+	if braceCount > 0 || bracketCount > 0 {
+		if lastValidIndex > 0 && lastValidIndex < len(str)-1 {
+			truncated := str[:lastValidIndex+1]
+			// Recount brackets after truncation
+			braceCount = 0
+			bracketCount = 0
+			inString = false
+			escape = false
+			for i := 0; i < len(truncated); i++ {
+				char := truncated[i]
+				if escape {
+					escape = false
+					continue
+				}
+				if char == '\\' {
+					escape = true
+					continue
+				}
+				if char == '"' {
+					inString = !inString
+					continue
+				}
+				if inString {
+					continue
+				}
+				switch char {
+				case '{':
+					braceCount++
+				case '}':
+					braceCount--
+				case '[':
+					bracketCount++
+				case ']':
+					bracketCount--
+				}
+			}
+			str = truncated
+		}
+
+		// Add missing closing brackets
+		for braceCount > 0 {
+			str += "}"
+			braceCount--
+		}
+		for bracketCount > 0 {
+			str += "]"
+			bracketCount--
+		}
+	}
+
+	// Validate repaired JSON
+	if err := json.Unmarshal([]byte(str), &testParse); err != nil {
+		log.Warnf("kiro: repairJSON - repair failed to produce valid JSON, returning original")
+		return originalStr
+	}
+
+	log.Debugf("kiro: repairJSON - successfully repaired JSON")
+	return str
+}
+
+// escapeNewlinesInStrings escapes literal newlines, tabs, and other control characters
+// that appear inside JSON string values.
+func escapeNewlinesInStrings(raw string) string {
+	var result strings.Builder
+	result.Grow(len(raw) + 100)
+
+	inString := false
+	escaped := false
+
+	for i := 0; i < len(raw); i++ {
+		c := raw[i]
+
+		if escaped {
+			result.WriteByte(c)
+			escaped = false
+			continue
+		}
+
+		if c == '\\' && inString {
+			result.WriteByte(c)
+			escaped = true
+			continue
+		}
+
+		if c == '"' {
+			inString = !inString
+			result.WriteByte(c)
+			continue
+		}
+
+		if inString {
+			switch c {
+			case '\n':
+				result.WriteString("\\n")
+			case '\r':
+				result.WriteString("\\r")
+			case '\t':
+				result.WriteString("\\t")
+			default:
+				result.WriteByte(c)
+			}
+		} else {
+			result.WriteByte(c)
+		}
+	}
+
+	return result.String()
+}
+
+// ProcessToolUseEvent handles a toolUseEvent from the Kiro stream.
+// It accumulates input fragments and emits tool_use blocks when complete.
+// Returns events to emit and updated state.
+func ProcessToolUseEvent(event map[string]interface{}, currentToolUse *ToolUseState, processedIDs map[string]bool) ([]KiroToolUse, *ToolUseState) {
+	var toolUses []KiroToolUse
+
+	// Extract from nested toolUseEvent or direct format
+	tu := event
+	if nested, ok := event["toolUseEvent"].(map[string]interface{}); ok {
+		tu = nested
+	}
+
+	toolUseID := kirocommon.GetString(tu, "toolUseId")
+	toolName := kirocommon.GetString(tu, "name")
+	isStop := false
+	if stop, ok := tu["stop"].(bool); ok {
+		isStop = stop
+	}
+
+	// Get input - can be string (fragment) or object (complete)
+	var inputFragment string
+	var inputMap map[string]interface{}
+
+	if inputRaw, ok := tu["input"]; ok {
+		switch v := inputRaw.(type) {
+		case string:
+			inputFragment = v
+		case map[string]interface{}:
+			inputMap = v
+		}
+	}
+
+	// New tool use starting
+	if toolUseID != "" && toolName != "" {
+		if currentToolUse != nil && currentToolUse.ToolUseID != toolUseID {
+			log.Warnf("kiro: interleaved tool use detected - new ID %s arrived while %s in progress, completing previous",
+				toolUseID, currentToolUse.ToolUseID)
+			if !processedIDs[currentToolUse.ToolUseID] {
+				incomplete := KiroToolUse{
+					ToolUseID: currentToolUse.ToolUseID,
+					Name:      currentToolUse.Name,
+				}
+				if currentToolUse.InputBuffer.Len() > 0 {
+					raw := currentToolUse.InputBuffer.String()
+					repaired := RepairJSON(raw)
+
+					var input map[string]interface{}
+					if err := json.Unmarshal([]byte(repaired), &input); err != nil {
+						log.Warnf("kiro: failed to parse interleaved tool input: %v, raw: %s", err, raw)
+						input = make(map[string]interface{})
+					}
+					incomplete.Input = input
+				}
+				toolUses = append(toolUses, incomplete)
+				processedIDs[currentToolUse.ToolUseID] = true
+			}
+			currentToolUse = nil
+		}
+
+		if currentToolUse == nil {
+			if processedIDs != nil && processedIDs[toolUseID] {
+				log.Debugf("kiro: skipping duplicate toolUseEvent: %s", toolUseID)
+				return nil, nil
+			}
+
+			currentToolUse = &ToolUseState{
+				ToolUseID: toolUseID,
+				Name:      toolName,
+			}
+			log.Infof("kiro: starting new tool use: %s (ID: %s)", toolName, toolUseID)
+		}
+	}
+
+	// Accumulate input fragments
+	if currentToolUse != nil && inputFragment != "" {
+		currentToolUse.InputBuffer.WriteString(inputFragment)
+		log.Debugf("kiro: accumulated input fragment, total length: %d", currentToolUse.InputBuffer.Len())
+	}
+
+	// If complete input object provided directly
+	if currentToolUse != nil && inputMap != nil {
+		inputBytes, _ := json.Marshal(inputMap)
+		currentToolUse.InputBuffer.Reset()
+		currentToolUse.InputBuffer.Write(inputBytes)
+	}
+
+	// Tool use complete
+	if isStop && currentToolUse != nil {
+		fullInput := currentToolUse.InputBuffer.String()
+
+		// Repair and parse the accumulated JSON
+		repairedJSON := RepairJSON(fullInput)
+		var finalInput map[string]interface{}
+		if err := json.Unmarshal([]byte(repairedJSON), &finalInput); err != nil {
+			log.Warnf("kiro: failed to parse accumulated tool input: %v, raw: %s", err, fullInput)
+			finalInput = make(map[string]interface{})
+		}
+
+		toolUse := KiroToolUse{
+			ToolUseID: currentToolUse.ToolUseID,
+			Name:      currentToolUse.Name,
+			Input:     finalInput,
+		}
+		toolUses = append(toolUses, toolUse)
+
+		if processedIDs != nil {
+			processedIDs[currentToolUse.ToolUseID] = true
+		}
+
+		log.Infof("kiro: completed tool use: %s (ID: %s)", currentToolUse.Name, currentToolUse.ToolUseID)
+		return toolUses, nil
+	}
+
+	return toolUses, currentToolUse
+}
+
+// DeduplicateToolUses removes duplicate tool uses based on toolUseId and content.
+func DeduplicateToolUses(toolUses []KiroToolUse) []KiroToolUse {
+	seenIDs := make(map[string]bool)
+	seenContent := make(map[string]bool)
+	var unique []KiroToolUse
+
+	for _, tu := range toolUses {
+		if seenIDs[tu.ToolUseID] {
+			log.Debugf("kiro: removing ID-duplicate tool use: %s (name: %s)", tu.ToolUseID, tu.Name)
+			continue
+		}
+
+		inputJSON, _ := json.Marshal(tu.Input)
+		contentKey := tu.Name + ":" + string(inputJSON)
+
+		if seenContent[contentKey] {
+			log.Debugf("kiro: removing content-duplicate tool use: %s (id: %s)", tu.Name, tu.ToolUseID)
+			continue
+		}
+
+		seenIDs[tu.ToolUseID] = true
+		seenContent[contentKey] = true
+		unique = append(unique, tu)
+	}
+
+	return unique
+}
+

internal/translator/kiro/claude/tool_compression.go

@@ -0,0 +1,191 @@
+// Package claude provides tool compression functionality for Kiro translator.
+// This file implements dynamic tool compression to reduce tool payload size
+// when it exceeds the target threshold, preventing 500 errors from Kiro API.
+package claude
+
+import (
+	"encoding/json"
+	"unicode/utf8"
+
+	kirocommon "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/kiro/common"
+	log "github.com/sirupsen/logrus"
+)
+
+// calculateToolsSize calculates the JSON serialized size of the tools list.
+// Returns the size in bytes.
+func calculateToolsSize(tools []KiroToolWrapper) int {
+	if len(tools) == 0 {
+		return 0
+	}
+	data, err := json.Marshal(tools)
+	if err != nil {
+		log.Warnf("kiro: failed to marshal tools for size calculation: %v", err)
+		return 0
+	}
+	return len(data)
+}
+
+// simplifyInputSchema simplifies the input_schema by keeping only essential fields:
+// type, enum, required. Recursively processes nested properties.
+func simplifyInputSchema(schema interface{}) interface{} {
+	if schema == nil {
+		return nil
+	}
+
+	schemaMap, ok := schema.(map[string]interface{})
+	if !ok {
+		return schema
+	}
+
+	simplified := make(map[string]interface{})
+
+	// Keep essential fields
+	if t, ok := schemaMap["type"]; ok {
+		simplified["type"] = t
+	}
+	if enum, ok := schemaMap["enum"]; ok {
+		simplified["enum"] = enum
+	}
+	if required, ok := schemaMap["required"]; ok {
+		simplified["required"] = required
+	}
+
+	// Recursively process properties
+	if properties, ok := schemaMap["properties"].(map[string]interface{}); ok {
+		simplifiedProps := make(map[string]interface{})
+		for key, value := range properties {
+			simplifiedProps[key] = simplifyInputSchema(value)
+		}
+		simplified["properties"] = simplifiedProps
+	}
+
+	// Process items for array types
+	if items, ok := schemaMap["items"]; ok {
+		simplified["items"] = simplifyInputSchema(items)
+	}
+
+	// Process additionalProperties if present
+	if additionalProps, ok := schemaMap["additionalProperties"]; ok {
+		simplified["additionalProperties"] = simplifyInputSchema(additionalProps)
+	}
+
+	// Process anyOf, oneOf, allOf
+	for _, key := range []string{"anyOf", "oneOf", "allOf"} {
+		if arr, ok := schemaMap[key].([]interface{}); ok {
+			simplifiedArr := make([]interface{}, len(arr))
+			for i, item := range arr {
+				simplifiedArr[i] = simplifyInputSchema(item)
+			}
+			simplified[key] = simplifiedArr
+		}
+	}
+
+	return simplified
+}
+
+// compressToolDescription compresses a description to the target length.
+// Ensures the result is at least MinToolDescriptionLength characters.
+// Uses UTF-8 safe truncation.
+func compressToolDescription(description string, targetLength int) string {
+	if targetLength < kirocommon.MinToolDescriptionLength {
+		targetLength = kirocommon.MinToolDescriptionLength
+	}
+
+	if len(description) <= targetLength {
+		return description
+	}
+
+	// Find a safe truncation point (UTF-8 boundary)
+	truncLen := targetLength - 3 // Leave room for "..."
+
+	// Ensure we don't cut in the middle of a UTF-8 character
+	for truncLen > 0 && !utf8.RuneStart(description[truncLen]) {
+		truncLen--
+	}
+
+	if truncLen <= 0 {
+		return description[:kirocommon.MinToolDescriptionLength]
+	}
+
+	return description[:truncLen] + "..."
+}
+
+// compressToolsIfNeeded compresses tools if their total size exceeds the target threshold.
+// Compression strategy:
+// 1. First, check if compression is needed (size > ToolCompressionTargetSize)
+// 2. Step 1: Simplify input_schema (keep only type/enum/required)
+// 3. Step 2: Proportionally compress descriptions (minimum MinToolDescriptionLength chars)
+// Returns the compressed tools list.
+func compressToolsIfNeeded(tools []KiroToolWrapper) []KiroToolWrapper {
+	if len(tools) == 0 {
+		return tools
+	}
+
+	originalSize := calculateToolsSize(tools)
+	if originalSize <= kirocommon.ToolCompressionTargetSize {
+		log.Debugf("kiro: tools size %d bytes is within target %d bytes, no compression needed",
+			originalSize, kirocommon.ToolCompressionTargetSize)
+		return tools
+	}
+
+	log.Infof("kiro: tools size %d bytes exceeds target %d bytes, starting compression",
+		originalSize, kirocommon.ToolCompressionTargetSize)
+
+	// Create a copy of tools to avoid modifying the original
+	compressedTools := make([]KiroToolWrapper, len(tools))
+	for i, tool := range tools {
+		compressedTools[i] = KiroToolWrapper{
+			ToolSpecification: KiroToolSpecification{
+				Name:        tool.ToolSpecification.Name,
+				Description: tool.ToolSpecification.Description,
+				InputSchema: KiroInputSchema{JSON: tool.ToolSpecification.InputSchema.JSON},
+			},
+		}
+	}
+
+	// Step 1: Simplify input_schema
+	for i := range compressedTools {
+		compressedTools[i].ToolSpecification.InputSchema.JSON =
+			simplifyInputSchema(compressedTools[i].ToolSpecification.InputSchema.JSON)
+	}
+
+	sizeAfterSchemaSimplification := calculateToolsSize(compressedTools)
+	log.Debugf("kiro: size after schema simplification: %d bytes (reduced by %d bytes)",
+		sizeAfterSchemaSimplification, originalSize-sizeAfterSchemaSimplification)
+
+	// Check if we're within target after schema simplification
+	if sizeAfterSchemaSimplification <= kirocommon.ToolCompressionTargetSize {
+		log.Infof("kiro: compression complete after schema simplification, final size: %d bytes",
+			sizeAfterSchemaSimplification)
+		return compressedTools
+	}
+
+	// Step 2: Compress descriptions proportionally
+	sizeToReduce := float64(sizeAfterSchemaSimplification - kirocommon.ToolCompressionTargetSize)
+	var totalDescLen float64
+	for _, tool := range compressedTools {
+		totalDescLen += float64(len(tool.ToolSpecification.Description))
+	}
+
+	if totalDescLen > 0 {
+		// Assume size reduction comes primarily from descriptions.
+		keepRatio := 1.0 - (sizeToReduce / totalDescLen)
+		if keepRatio > 1.0 {
+			keepRatio = 1.0
+		} else if keepRatio < 0 {
+			keepRatio = 0
+		}
+
+		for i := range compressedTools {
+			desc := compressedTools[i].ToolSpecification.Description
+			targetLen := int(float64(len(desc)) * keepRatio)
+			compressedTools[i].ToolSpecification.Description = compressToolDescription(desc, targetLen)
+		}
+	}
+
+	finalSize := calculateToolsSize(compressedTools)
+	log.Infof("kiro: compression complete, original: %d bytes, final: %d bytes (%.1f%% reduction)",
+		originalSize, finalSize, float64(originalSize-finalSize)/float64(originalSize)*100)
+
+	return compressedTools
+}

internal/translator/kiro/common/constants.go

@@ -0,0 +1,83 @@
+// Package common provides shared constants and utilities for Kiro translator.
+package common
+
+const (
+	// KiroMaxToolDescLen is the maximum description length for Kiro API tools.
+	// Kiro API limit is 10240 bytes, leave room for "..."
+	KiroMaxToolDescLen = 10237
+
+	// ToolCompressionTargetSize is the target total size for compressed tools (20KB).
+	// If tools exceed this size, compression will be applied.
+	ToolCompressionTargetSize = 20 * 1024 // 20KB
+
+	// MinToolDescriptionLength is the minimum description length after compression.
+	// Descriptions will not be shortened below this length.
+	MinToolDescriptionLength = 50
+
+	// ThinkingStartTag is the start tag for thinking blocks in responses.
+	ThinkingStartTag = "<thinking>"
+
+	// ThinkingEndTag is the end tag for thinking blocks in responses.
+	ThinkingEndTag = "</thinking>"
+
+	// CodeFenceMarker is the markdown code fence marker.
+	CodeFenceMarker = "```"
+
+	// AltCodeFenceMarker is the alternative markdown code fence marker.
+	AltCodeFenceMarker = "~~~"
+
+	// InlineCodeMarker is the markdown inline code marker (backtick).
+	InlineCodeMarker = "`"
+
+	// KiroAgenticSystemPrompt is injected only for -agentic models to prevent timeouts on large writes.
+	// AWS Kiro API has a 2-3 minute timeout for large file write operations.
+	KiroAgenticSystemPrompt = `
+# CRITICAL: CHUNKED WRITE PROTOCOL (MANDATORY)
+
+You MUST follow these rules for ALL file operations. Violation causes server timeouts and task failure.
+
+## ABSOLUTE LIMITS
+- **MAXIMUM 350 LINES** per single write/edit operation - NO EXCEPTIONS
+- **RECOMMENDED 300 LINES** or less for optimal performance
+- **NEVER** write entire files in one operation if >300 lines
+
+## MANDATORY CHUNKED WRITE STRATEGY
+
+### For NEW FILES (>300 lines total):
+1. FIRST: Write initial chunk (first 250-300 lines) using write_to_file/fsWrite
+2. THEN: Append remaining content in 250-300 line chunks using file append operations
+3. REPEAT: Continue appending until complete
+
+### For EDITING EXISTING FILES:
+1. Use surgical edits (apply_diff/targeted edits) - change ONLY what's needed
+2. NEVER rewrite entire files - use incremental modifications
+3. Split large refactors into multiple small, focused edits
+
+### For LARGE CODE GENERATION:
+1. Generate in logical sections (imports, types, functions separately)
+2. Write each section as a separate operation
+3. Use append operations for subsequent sections
+
+## EXAMPLES OF CORRECT BEHAVIOR
+
+✅ CORRECT: Writing a 600-line file
+- Operation 1: Write lines 1-300 (initial file creation)
+- Operation 2: Append lines 301-600
+
+✅ CORRECT: Editing multiple functions
+- Operation 1: Edit function A
+- Operation 2: Edit function B
+- Operation 3: Edit function C
+
+❌ WRONG: Writing 500 lines in single operation → TIMEOUT
+❌ WRONG: Rewriting entire file to change 5 lines → TIMEOUT
+❌ WRONG: Generating massive code blocks without chunking → TIMEOUT
+
+## WHY THIS MATTERS
+- Server has 2-3 minute timeout for operations
+- Large writes exceed timeout and FAIL completely
+- Chunked writes are FASTER and more RELIABLE
+- Failed writes waste time and require retry
+
+REMEMBER: When in doubt, write LESS per operation. Multiple small operations > one large operation.`
+)

internal/translator/kiro/common/message_merge.go

@@ -0,0 +1,132 @@
+// Package common provides shared utilities for Kiro translators.
+package common
+
+import (
+	"encoding/json"
+
+	"github.com/tidwall/gjson"
+)
+
+// MergeAdjacentMessages merges adjacent messages with the same role.
+// This reduces API call complexity and improves compatibility.
+// Based on AIClient-2-API implementation.
+// NOTE: Tool messages are NOT merged because each has a unique tool_call_id that must be preserved.
+func MergeAdjacentMessages(messages []gjson.Result) []gjson.Result {
+	if len(messages) <= 1 {
+		return messages
+	}
+
+	var merged []gjson.Result
+	for _, msg := range messages {
+		if len(merged) == 0 {
+			merged = append(merged, msg)
+			continue
+		}
+
+		lastMsg := merged[len(merged)-1]
+		currentRole := msg.Get("role").String()
+		lastRole := lastMsg.Get("role").String()
+
+		// Don't merge tool messages - each has a unique tool_call_id
+		if currentRole == "tool" || lastRole == "tool" {
+			merged = append(merged, msg)
+			continue
+		}
+
+		if currentRole == lastRole {
+			// Merge content from current message into last message
+			mergedContent := mergeMessageContent(lastMsg, msg)
+			// Create a new merged message JSON
+			mergedMsg := createMergedMessage(lastRole, mergedContent)
+			merged[len(merged)-1] = gjson.Parse(mergedMsg)
+		} else {
+			merged = append(merged, msg)
+		}
+	}
+
+	return merged
+}
+
+// mergeMessageContent merges the content of two messages with the same role.
+// Handles both string content and array content (with text, tool_use, tool_result blocks).
+func mergeMessageContent(msg1, msg2 gjson.Result) string {
+	content1 := msg1.Get("content")
+	content2 := msg2.Get("content")
+
+	// Extract content blocks from both messages
+	var blocks1, blocks2 []map[string]interface{}
+
+	if content1.IsArray() {
+		for _, block := range content1.Array() {
+			blocks1 = append(blocks1, blockToMap(block))
+		}
+	} else if content1.Type == gjson.String {
+		blocks1 = append(blocks1, map[string]interface{}{
+			"type": "text",
+			"text": content1.String(),
+		})
+	}
+
+	if content2.IsArray() {
+		for _, block := range content2.Array() {
+			blocks2 = append(blocks2, blockToMap(block))
+		}
+	} else if content2.Type == gjson.String {
+		blocks2 = append(blocks2, map[string]interface{}{
+			"type": "text",
+			"text": content2.String(),
+		})
+	}
+
+	// Merge text blocks if both end/start with text
+	if len(blocks1) > 0 && len(blocks2) > 0 {
+		if blocks1[len(blocks1)-1]["type"] == "text" && blocks2[0]["type"] == "text" {
+			// Merge the last text block of msg1 with the first text block of msg2
+			text1 := blocks1[len(blocks1)-1]["text"].(string)
+			text2 := blocks2[0]["text"].(string)
+			blocks1[len(blocks1)-1]["text"] = text1 + "\n" + text2
+			blocks2 = blocks2[1:] // Remove the merged block from blocks2
+		}
+	}
+
+	// Combine all blocks
+	allBlocks := append(blocks1, blocks2...)
+
+	// Convert to JSON
+	result, _ := json.Marshal(allBlocks)
+	return string(result)
+}
+
+// blockToMap converts a gjson.Result block to a map[string]interface{}
+func blockToMap(block gjson.Result) map[string]interface{} {
+	result := make(map[string]interface{})
+	block.ForEach(func(key, value gjson.Result) bool {
+		if value.IsObject() {
+			result[key.String()] = blockToMap(value)
+		} else if value.IsArray() {
+			var arr []interface{}
+			for _, item := range value.Array() {
+				if item.IsObject() {
+					arr = append(arr, blockToMap(item))
+				} else {
+					arr = append(arr, item.Value())
+				}
+			}
+			result[key.String()] = arr
+		} else {
+			result[key.String()] = value.Value()
+		}
+		return true
+	})
+	return result
+}
+
+// createMergedMessage creates a JSON string for a merged message
+func createMergedMessage(role string, content string) string {
+	msg := map[string]interface{}{
+		"role":    role,
+		"content": json.RawMessage(content),
+	}
+	result, _ := json.Marshal(msg)
+	return string(result)
+}

internal/translator/kiro/common/utils.go

@@ -0,0 +1,16 @@
+// Package common provides shared constants and utilities for Kiro translator.
+package common
+
+// GetString safely extracts a string from a map.
+// Returns empty string if the key doesn't exist or the value is not a string.
+func GetString(m map[string]interface{}, key string) string {
+	if v, ok := m[key].(string); ok {
+		return v
+	}
+	return ""
+}
+
+// GetStringValue is an alias for GetString for backward compatibility.
+func GetStringValue(m map[string]interface{}, key string) string {
+	return GetString(m, key)
+}

internal/translator/kiro/openai/init.go

@@ -0,0 +1,20 @@
+// Package openai provides translation between OpenAI Chat Completions and Kiro formats.
+package openai
+
+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, // source format
+		Kiro,   // target format
+		ConvertOpenAIRequestToKiro,
+		interfaces.TranslateResponse{
+			Stream:    ConvertKiroStreamToOpenAI,
+			NonStream: ConvertKiroNonStreamToOpenAI,
+		},
+	)
+}

internal/translator/kiro/openai/kiro_openai.go

@@ -0,0 +1,371 @@
+// Package openai provides translation between OpenAI Chat Completions and Kiro formats.
+// This package enables direct OpenAI → Kiro translation, bypassing the Claude intermediate layer.
+//
+// The Kiro executor generates Claude-compatible SSE format internally, so the streaming response
+// translation converts from Claude SSE format to OpenAI SSE format.
+package openai
+
+import (
+	"bytes"
+	"context"
+	"encoding/json"
+	"strings"
+
+	kirocommon "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/kiro/common"
+	"github.com/router-for-me/CLIProxyAPI/v6/sdk/cliproxy/usage"
+	log "github.com/sirupsen/logrus"
+	"github.com/tidwall/gjson"
+)
+
+// ConvertKiroStreamToOpenAI converts Kiro streaming response to OpenAI format.
+// The Kiro executor emits Claude-compatible SSE events, so this function translates
+// from Claude SSE format to OpenAI SSE format.
+//
+// Claude SSE format:
+//   - event: message_start\ndata: {...}
+//   - event: content_block_start\ndata: {...}
+//   - event: content_block_delta\ndata: {...}
+//   - event: content_block_stop\ndata: {...}
+//   - event: message_delta\ndata: {...}
+//   - event: message_stop\ndata: {...}
+//
+// OpenAI SSE format:
+//   - data: {"id":"...","object":"chat.completion.chunk",...}
+//   - data: [DONE]
+func ConvertKiroStreamToOpenAI(ctx context.Context, model string, originalRequest, request, rawResponse []byte, param *any) []string {
+	// Initialize state if needed
+	if *param == nil {
+		*param = NewOpenAIStreamState(model)
+	}
+	state := (*param).(*OpenAIStreamState)
+
+	// Parse the Claude SSE event
+	responseStr := string(rawResponse)
+
+	// Handle raw event format (event: xxx\ndata: {...})
+	var eventType string
+	var eventData string
+
+	if strings.HasPrefix(responseStr, "event:") {
+		// Parse event type and data
+		lines := strings.SplitN(responseStr, "\n", 2)
+		if len(lines) >= 1 {
+			eventType = strings.TrimSpace(strings.TrimPrefix(lines[0], "event:"))
+		}
+		if len(lines) >= 2 && strings.HasPrefix(lines[1], "data:") {
+			eventData = strings.TrimSpace(strings.TrimPrefix(lines[1], "data:"))
+		}
+	} else if strings.HasPrefix(responseStr, "data:") {
+		// Just data line
+		eventData = strings.TrimSpace(strings.TrimPrefix(responseStr, "data:"))
+	} else {
+		// Try to parse as raw JSON
+		eventData = strings.TrimSpace(responseStr)
+	}
+
+	if eventData == "" {
+		return []string{}
+	}
+
+	// Parse the event data as JSON
+	eventJSON := gjson.Parse(eventData)
+	if !eventJSON.Exists() {
+		return []string{}
+	}
+
+	// Determine event type from JSON if not already set
+	if eventType == "" {
+		eventType = eventJSON.Get("type").String()
+	}
+
+	var results []string
+
+	switch eventType {
+	case "message_start":
+		// Send first chunk with role
+		firstChunk := BuildOpenAISSEFirstChunk(state)
+		results = append(results, firstChunk)
+
+	case "content_block_start":
+		// Check block type
+		blockType := eventJSON.Get("content_block.type").String()
+		switch blockType {
+		case "text":
+			// Text block starting - nothing to emit yet
+		case "thinking":
+			// Thinking block starting - nothing to emit yet for OpenAI
+		case "tool_use":
+			// Tool use block starting
+			toolUseID := eventJSON.Get("content_block.id").String()
+			toolName := eventJSON.Get("content_block.name").String()
+			chunk := BuildOpenAISSEToolCallStart(state, toolUseID, toolName)
+			results = append(results, chunk)
+			state.ToolCallIndex++
+		}
+
+	case "content_block_delta":
+		deltaType := eventJSON.Get("delta.type").String()
+		switch deltaType {
+		case "text_delta":
+			textDelta := eventJSON.Get("delta.text").String()
+			if textDelta != "" {
+				chunk := BuildOpenAISSETextDelta(state, textDelta)
+				results = append(results, chunk)
+			}
+		case "thinking_delta":
+			// Convert thinking to reasoning_content for o1-style compatibility
+			thinkingDelta := eventJSON.Get("delta.thinking").String()
+			if thinkingDelta != "" {
+				chunk := BuildOpenAISSEReasoningDelta(state, thinkingDelta)
+				results = append(results, chunk)
+			}
+		case "input_json_delta":
+			// Tool call arguments delta
+			partialJSON := eventJSON.Get("delta.partial_json").String()
+			if partialJSON != "" {
+				// Get the tool index from content block index
+				blockIndex := int(eventJSON.Get("index").Int())
+				chunk := BuildOpenAISSEToolCallArgumentsDelta(state, partialJSON, blockIndex-1) // Adjust for 0-based tool index
+				results = append(results, chunk)
+			}
+		}
+
+	case "content_block_stop":
+		// Content block ended - nothing to emit for OpenAI
+
+	case "message_delta":
+		// Message delta with stop_reason
+		stopReason := eventJSON.Get("delta.stop_reason").String()
+		finishReason := mapKiroStopReasonToOpenAI(stopReason)
+		if finishReason != "" {
+			chunk := BuildOpenAISSEFinish(state, finishReason)
+			results = append(results, chunk)
+		}
+
+		// Extract usage if present
+		if eventJSON.Get("usage").Exists() {
+			inputTokens := eventJSON.Get("usage.input_tokens").Int()
+			outputTokens := eventJSON.Get("usage.output_tokens").Int()
+			usageInfo := usage.Detail{
+				InputTokens:  inputTokens,
+				OutputTokens: outputTokens,
+				TotalTokens:  inputTokens + outputTokens,
+			}
+			chunk := BuildOpenAISSEUsage(state, usageInfo)
+			results = append(results, chunk)
+		}
+
+	case "message_stop":
+		// Final event - do NOT emit [DONE] here
+		// The handler layer (openai_handlers.go) will send [DONE] when the stream closes
+		// Emitting [DONE] here would cause duplicate [DONE] markers
+
+	case "ping":
+		// Ping event with usage - optionally emit usage chunk
+		if eventJSON.Get("usage").Exists() {
+			inputTokens := eventJSON.Get("usage.input_tokens").Int()
+			outputTokens := eventJSON.Get("usage.output_tokens").Int()
+			usageInfo := usage.Detail{
+				InputTokens:  inputTokens,
+				OutputTokens: outputTokens,
+				TotalTokens:  inputTokens + outputTokens,
+			}
+			chunk := BuildOpenAISSEUsage(state, usageInfo)
+			results = append(results, chunk)
+		}
+	}
+
+	return results
+}
+
+// ConvertKiroNonStreamToOpenAI converts Kiro non-streaming response to OpenAI format.
+// The Kiro executor returns Claude-compatible JSON responses, so this function translates
+// from Claude format to OpenAI format.
+func ConvertKiroNonStreamToOpenAI(ctx context.Context, model string, originalRequest, request, rawResponse []byte, param *any) string {
+	// Parse the Claude-format response
+	response := gjson.ParseBytes(rawResponse)
+
+	// Extract content
+	var content string
+	var reasoningContent string
+	var toolUses []KiroToolUse
+	var stopReason string
+
+	// Get stop_reason
+	stopReason = response.Get("stop_reason").String()
+
+	// Process content blocks
+	contentBlocks := response.Get("content")
+	if contentBlocks.IsArray() {
+		for _, block := range contentBlocks.Array() {
+			blockType := block.Get("type").String()
+			switch blockType {
+			case "text":
+				content += block.Get("text").String()
+			case "thinking":
+				// Convert thinking blocks to reasoning_content for OpenAI format
+				reasoningContent += block.Get("thinking").String()
+			case "tool_use":
+				toolUseID := block.Get("id").String()
+				toolName := block.Get("name").String()
+				toolInput := block.Get("input")
+
+				var inputMap map[string]interface{}
+				if toolInput.IsObject() {
+					inputMap = make(map[string]interface{})
+					toolInput.ForEach(func(key, value gjson.Result) bool {
+						inputMap[key.String()] = value.Value()
+						return true
+					})
+				}
+
+				toolUses = append(toolUses, KiroToolUse{
+					ToolUseID: toolUseID,
+					Name:      toolName,
+					Input:     inputMap,
+				})
+			}
+		}
+	}
+
+	// Extract usage
+	usageInfo := usage.Detail{
+		InputTokens:  response.Get("usage.input_tokens").Int(),
+		OutputTokens: response.Get("usage.output_tokens").Int(),
+	}
+	usageInfo.TotalTokens = usageInfo.InputTokens + usageInfo.OutputTokens
+
+	// Build OpenAI response with reasoning_content support
+	openaiResponse := BuildOpenAIResponseWithReasoning(content, reasoningContent, toolUses, model, usageInfo, stopReason)
+	return string(openaiResponse)
+}
+
+// ParseClaudeEvent parses a Claude SSE event and returns the event type and data
+func ParseClaudeEvent(rawEvent []byte) (eventType string, eventData []byte) {
+	lines := bytes.Split(rawEvent, []byte("\n"))
+	for _, line := range lines {
+		line = bytes.TrimSpace(line)
+		if bytes.HasPrefix(line, []byte("event:")) {
+			eventType = string(bytes.TrimSpace(bytes.TrimPrefix(line, []byte("event:"))))
+		} else if bytes.HasPrefix(line, []byte("data:")) {
+			eventData = bytes.TrimSpace(bytes.TrimPrefix(line, []byte("data:")))
+		}
+	}
+	return eventType, eventData
+}
+
+// ExtractThinkingFromContent parses content to extract thinking blocks.
+// Returns cleaned content (without thinking tags) and whether thinking was found.
+func ExtractThinkingFromContent(content string) (string, string, bool) {
+	if !strings.Contains(content, kirocommon.ThinkingStartTag) {
+		return content, "", false
+	}
+
+	var cleanedContent strings.Builder
+	var thinkingContent strings.Builder
+	hasThinking := false
+	remaining := content
+
+	for len(remaining) > 0 {
+		startIdx := strings.Index(remaining, kirocommon.ThinkingStartTag)
+		if startIdx == -1 {
+			cleanedContent.WriteString(remaining)
+			break
+		}
+
+		// Add content before thinking tag
+		cleanedContent.WriteString(remaining[:startIdx])
+
+		// Move past opening tag
+		remaining = remaining[startIdx+len(kirocommon.ThinkingStartTag):]
+
+		// Find closing tag
+		endIdx := strings.Index(remaining, kirocommon.ThinkingEndTag)
+		if endIdx == -1 {
+			// No closing tag - treat rest as thinking
+			thinkingContent.WriteString(remaining)
+			hasThinking = true
+			break
+		}
+
+		// Extract thinking content
+		thinkingContent.WriteString(remaining[:endIdx])
+		hasThinking = true
+		remaining = remaining[endIdx+len(kirocommon.ThinkingEndTag):]
+	}
+
+	return strings.TrimSpace(cleanedContent.String()), strings.TrimSpace(thinkingContent.String()), hasThinking
+}
+
+// ConvertOpenAIToolsToKiroFormat is a helper that converts OpenAI tools format to Kiro format
+func ConvertOpenAIToolsToKiroFormat(tools []map[string]interface{}) []KiroToolWrapper {
+	var kiroTools []KiroToolWrapper
+
+	for _, tool := range tools {
+		toolType, _ := tool["type"].(string)
+		if toolType != "function" {
+			continue
+		}
+
+		fn, ok := tool["function"].(map[string]interface{})
+		if !ok {
+			continue
+		}
+
+		name := kirocommon.GetString(fn, "name")
+		description := kirocommon.GetString(fn, "description")
+		parameters := fn["parameters"]
+
+		if name == "" {
+			continue
+		}
+
+		if description == "" {
+			description = "Tool: " + name
+		}
+
+		kiroTools = append(kiroTools, KiroToolWrapper{
+			ToolSpecification: KiroToolSpecification{
+				Name:        name,
+				Description: description,
+				InputSchema: KiroInputSchema{JSON: parameters},
+			},
+		})
+	}
+
+	return kiroTools
+}
+
+// OpenAIStreamParams holds parameters for OpenAI streaming conversion
+type OpenAIStreamParams struct {
+	State            *OpenAIStreamState
+	ThinkingState    *ThinkingTagState
+	ToolCallsEmitted map[string]bool
+}
+
+// NewOpenAIStreamParams creates new streaming parameters
+func NewOpenAIStreamParams(model string) *OpenAIStreamParams {
+	return &OpenAIStreamParams{
+		State:            NewOpenAIStreamState(model),
+		ThinkingState:    NewThinkingTagState(),
+		ToolCallsEmitted: make(map[string]bool),
+	}
+}
+
+// ConvertClaudeToolUseToOpenAI converts a Claude tool_use block to OpenAI tool_calls format
+func ConvertClaudeToolUseToOpenAI(toolUseID, toolName string, input map[string]interface{}) map[string]interface{} {
+	inputJSON, _ := json.Marshal(input)
+	return map[string]interface{}{
+		"id":   toolUseID,
+		"type": "function",
+		"function": map[string]interface{}{
+			"name":      toolName,
+			"arguments": string(inputJSON),
+		},
+	}
+}
+
+// LogStreamEvent logs a streaming event for debugging
+func LogStreamEvent(eventType, data string) {
+	log.Debugf("kiro-openai: stream event type=%s, data_len=%d", eventType, len(data))
+}

internal/translator/kiro/openai/kiro_openai_request.go

@@ -0,0 +1,863 @@
+// Package openai provides request translation from OpenAI Chat Completions to Kiro format.
+// It handles parsing and transforming OpenAI API requests into the Kiro/Amazon Q API format,
+// extracting model information, system instructions, message contents, and tool declarations.
+package openai
+
+import (
+	"encoding/json"
+	"fmt"
+	"net/http"
+	"strings"
+	"time"
+	"unicode/utf8"
+
+	"github.com/google/uuid"
+	kiroclaude "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/kiro/claude"
+	kirocommon "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/kiro/common"
+	log "github.com/sirupsen/logrus"
+	"github.com/tidwall/gjson"
+)
+
+// Kiro API request structs - reuse from kiroclaude package structure
+
+// KiroPayload is the top-level request structure for Kiro API
+type KiroPayload struct {
+	ConversationState KiroConversationState `json:"conversationState"`
+	ProfileArn        string                `json:"profileArn,omitempty"`
+	InferenceConfig   *KiroInferenceConfig  `json:"inferenceConfig,omitempty"`
+}
+
+// KiroInferenceConfig contains inference parameters for the Kiro API.
+type KiroInferenceConfig struct {
+	MaxTokens   int     `json:"maxTokens,omitempty"`
+	Temperature float64 `json:"temperature,omitempty"`
+	TopP        float64 `json:"topP,omitempty"`
+}
+
+// KiroConversationState holds the conversation context
+type KiroConversationState struct {
+	ChatTriggerType string               `json:"chatTriggerType"` // Required: "MANUAL"
+	ConversationID  string               `json:"conversationId"`
+	CurrentMessage  KiroCurrentMessage   `json:"currentMessage"`
+	History         []KiroHistoryMessage `json:"history,omitempty"`
+}
+
+// KiroCurrentMessage wraps the current user message
+type KiroCurrentMessage struct {
+	UserInputMessage KiroUserInputMessage `json:"userInputMessage"`
+}
+
+// KiroHistoryMessage represents a message in the conversation history
+type KiroHistoryMessage struct {
+	UserInputMessage         *KiroUserInputMessage         `json:"userInputMessage,omitempty"`
+	AssistantResponseMessage *KiroAssistantResponseMessage `json:"assistantResponseMessage,omitempty"`
+}
+
+// KiroImage represents an image in Kiro API format
+type KiroImage struct {
+	Format string          `json:"format"`
+	Source KiroImageSource `json:"source"`
+}
+
+// KiroImageSource contains the image data
+type KiroImageSource struct {
+	Bytes string `json:"bytes"` // base64 encoded image data
+}
+
+// KiroUserInputMessage represents a user message
+type KiroUserInputMessage struct {
+	Content                 string                       `json:"content"`
+	ModelID                 string                       `json:"modelId"`
+	Origin                  string                       `json:"origin"`
+	Images                  []KiroImage                  `json:"images,omitempty"`
+	UserInputMessageContext *KiroUserInputMessageContext `json:"userInputMessageContext,omitempty"`
+}
+
+// KiroUserInputMessageContext contains tool-related context
+type KiroUserInputMessageContext struct {
+	ToolResults []KiroToolResult  `json:"toolResults,omitempty"`
+	Tools       []KiroToolWrapper `json:"tools,omitempty"`
+}
+
+// KiroToolResult represents a tool execution result
+type KiroToolResult struct {
+	Content   []KiroTextContent `json:"content"`
+	Status    string            `json:"status"`
+	ToolUseID string            `json:"toolUseId"`
+}
+
+// KiroTextContent represents text content
+type KiroTextContent struct {
+	Text string `json:"text"`
+}
+
+// KiroToolWrapper wraps a tool specification
+type KiroToolWrapper struct {
+	ToolSpecification KiroToolSpecification `json:"toolSpecification"`
+}
+
+// KiroToolSpecification defines a tool's schema
+type KiroToolSpecification struct {
+	Name        string          `json:"name"`
+	Description string          `json:"description"`
+	InputSchema KiroInputSchema `json:"inputSchema"`
+}
+
+// KiroInputSchema wraps the JSON schema for tool input
+type KiroInputSchema struct {
+	JSON interface{} `json:"json"`
+}
+
+// KiroAssistantResponseMessage represents an assistant message
+type KiroAssistantResponseMessage struct {
+	Content  string        `json:"content"`
+	ToolUses []KiroToolUse `json:"toolUses,omitempty"`
+}
+
+// KiroToolUse represents a tool invocation by the assistant
+type KiroToolUse struct {
+	ToolUseID string                 `json:"toolUseId"`
+	Name      string                 `json:"name"`
+	Input     map[string]interface{} `json:"input"`
+}
+
+// ConvertOpenAIRequestToKiro converts an OpenAI Chat Completions request to Kiro format.
+// This is the main entry point for request translation.
+// Note: The actual payload building happens in the executor, this just passes through
+// the OpenAI format which will be converted by BuildKiroPayloadFromOpenAI.
+func ConvertOpenAIRequestToKiro(modelName string, inputRawJSON []byte, stream bool) []byte {
+	// Pass through the OpenAI format - actual conversion happens in BuildKiroPayloadFromOpenAI
+	return inputRawJSON
+}
+
+// BuildKiroPayloadFromOpenAI constructs the Kiro API request payload from OpenAI format.
+// Supports tool calling - tools are passed via userInputMessageContext.
+// origin parameter determines which quota to use: "CLI" for Amazon Q, "AI_EDITOR" for Kiro IDE.
+// isAgentic parameter enables chunked write optimization prompt for -agentic model variants.
+// isChatOnly parameter disables tool calling for -chat model variants (pure conversation mode).
+// headers parameter allows checking Anthropic-Beta header for thinking mode detection.
+// metadata parameter is kept for API compatibility but no longer used for thinking configuration.
+// Returns the payload and a boolean indicating whether thinking mode was injected.
+func BuildKiroPayloadFromOpenAI(openaiBody []byte, modelID, profileArn, origin string, isAgentic, isChatOnly bool, headers http.Header, metadata map[string]any) ([]byte, bool) {
+	// Extract max_tokens for potential use in inferenceConfig
+	// Handle -1 as "use maximum" (Kiro max output is ~32000 tokens)
+	const kiroMaxOutputTokens = 32000
+	var maxTokens int64
+	if mt := gjson.GetBytes(openaiBody, "max_tokens"); mt.Exists() {
+		maxTokens = mt.Int()
+		if maxTokens == -1 {
+			maxTokens = kiroMaxOutputTokens
+			log.Debugf("kiro-openai: max_tokens=-1 converted to %d", kiroMaxOutputTokens)
+		}
+	}
+
+	// Extract temperature if specified
+	var temperature float64
+	var hasTemperature bool
+	if temp := gjson.GetBytes(openaiBody, "temperature"); temp.Exists() {
+		temperature = temp.Float()
+		hasTemperature = true
+	}
+
+	// Extract top_p if specified
+	var topP float64
+	var hasTopP bool
+	if tp := gjson.GetBytes(openaiBody, "top_p"); tp.Exists() {
+		topP = tp.Float()
+		hasTopP = true
+		log.Debugf("kiro-openai: extracted top_p: %.2f", topP)
+	}
+
+	// Normalize origin value for Kiro API compatibility
+	origin = normalizeOrigin(origin)
+	log.Debugf("kiro-openai: normalized origin value: %s", origin)
+
+	messages := gjson.GetBytes(openaiBody, "messages")
+
+	// For chat-only mode, don't include tools
+	var tools gjson.Result
+	if !isChatOnly {
+		tools = gjson.GetBytes(openaiBody, "tools")
+	}
+
+	// Extract system prompt from messages
+	systemPrompt := extractSystemPromptFromOpenAI(messages)
+
+	// Inject timestamp context
+	timestamp := time.Now().Format("2006-01-02 15:04:05 MST")
+	timestampContext := fmt.Sprintf("[Context: Current time is %s]", timestamp)
+	if systemPrompt != "" {
+		systemPrompt = timestampContext + "\n\n" + systemPrompt
+	} else {
+		systemPrompt = timestampContext
+	}
+	log.Debugf("kiro-openai: injected timestamp context: %s", timestamp)
+
+	// Inject agentic optimization prompt for -agentic model variants
+	if isAgentic {
+		if systemPrompt != "" {
+			systemPrompt += "\n"
+		}
+		systemPrompt += kirocommon.KiroAgenticSystemPrompt
+	}
+
+	// Handle tool_choice parameter - Kiro doesn't support it natively, so we inject system prompt hints
+	// OpenAI tool_choice values: "none", "auto", "required", or {"type":"function","function":{"name":"..."}}
+	toolChoiceHint := extractToolChoiceHint(openaiBody)
+	if toolChoiceHint != "" {
+		if systemPrompt != "" {
+			systemPrompt += "\n"
+		}
+		systemPrompt += toolChoiceHint
+		log.Debugf("kiro-openai: injected tool_choice hint into system prompt")
+	}
+
+	// Handle response_format parameter - Kiro doesn't support it natively, so we inject system prompt hints
+	// OpenAI response_format: {"type": "json_object"} or {"type": "json_schema", "json_schema": {...}}
+	responseFormatHint := extractResponseFormatHint(openaiBody)
+	if responseFormatHint != "" {
+		if systemPrompt != "" {
+			systemPrompt += "\n"
+		}
+		systemPrompt += responseFormatHint
+		log.Debugf("kiro-openai: injected response_format hint into system prompt")
+	}
+
+	// Check for thinking mode
+	// Supports OpenAI reasoning_effort parameter, model name hints, and Anthropic-Beta header
+	thinkingEnabled := checkThinkingModeFromOpenAIWithHeaders(openaiBody, headers)
+
+	// Convert OpenAI tools to Kiro format
+	kiroTools := convertOpenAIToolsToKiro(tools)
+
+	// Thinking mode implementation:
+	// Kiro API supports official thinking/reasoning mode via <thinking_mode> tag.
+	// When set to "enabled", Kiro returns reasoning content as official reasoningContentEvent
+	// rather than inline <thinking> tags in assistantResponseEvent.
+	// We use a high max_thinking_length to allow extensive reasoning.
+	if thinkingEnabled {
+		thinkingHint := `<thinking_mode>enabled</thinking_mode>
+<max_thinking_length>200000</max_thinking_length>`
+		if systemPrompt != "" {
+			systemPrompt = thinkingHint + "\n\n" + systemPrompt
+		} else {
+			systemPrompt = thinkingHint
+		}
+		log.Debugf("kiro-openai: injected thinking prompt (official mode)")
+	}
+
+	// Process messages and build history
+	history, currentUserMsg, currentToolResults := processOpenAIMessages(messages, modelID, origin)
+
+	// Build content with system prompt
+	if currentUserMsg != nil {
+		currentUserMsg.Content = buildFinalContent(currentUserMsg.Content, systemPrompt, currentToolResults)
+
+		// Deduplicate currentToolResults
+		currentToolResults = deduplicateToolResults(currentToolResults)
+
+		// Build userInputMessageContext with tools and tool results
+		if len(kiroTools) > 0 || len(currentToolResults) > 0 {
+			currentUserMsg.UserInputMessageContext = &KiroUserInputMessageContext{
+				Tools:       kiroTools,
+				ToolResults: currentToolResults,
+			}
+		}
+	}
+
+	// Build payload
+	var currentMessage KiroCurrentMessage
+	if currentUserMsg != nil {
+		currentMessage = KiroCurrentMessage{UserInputMessage: *currentUserMsg}
+	} else {
+		fallbackContent := ""
+		if systemPrompt != "" {
+			fallbackContent = "--- SYSTEM PROMPT ---\n" + systemPrompt + "\n--- END SYSTEM PROMPT ---\n"
+		}
+		currentMessage = KiroCurrentMessage{UserInputMessage: KiroUserInputMessage{
+			Content: fallbackContent,
+			ModelID: modelID,
+			Origin:  origin,
+		}}
+	}
+
+	// Build inferenceConfig if we have any inference parameters
+	// Note: Kiro API doesn't actually use max_tokens for thinking budget
+	var inferenceConfig *KiroInferenceConfig
+	if maxTokens > 0 || hasTemperature || hasTopP {
+		inferenceConfig = &KiroInferenceConfig{}
+		if maxTokens > 0 {
+			inferenceConfig.MaxTokens = int(maxTokens)
+		}
+		if hasTemperature {
+			inferenceConfig.Temperature = temperature
+		}
+		if hasTopP {
+			inferenceConfig.TopP = topP
+		}
+	}
+
+	payload := KiroPayload{
+		ConversationState: KiroConversationState{
+			ChatTriggerType: "MANUAL",
+			ConversationID:  uuid.New().String(),
+			CurrentMessage:  currentMessage,
+			History:         history,
+		},
+		ProfileArn:      profileArn,
+		InferenceConfig: inferenceConfig,
+	}
+
+	result, err := json.Marshal(payload)
+	if err != nil {
+		log.Debugf("kiro-openai: failed to marshal payload: %v", err)
+		return nil, false
+	}
+
+	return result, thinkingEnabled
+}
+
+// normalizeOrigin normalizes origin value for Kiro API compatibility
+func normalizeOrigin(origin string) string {
+	switch origin {
+	case "KIRO_CLI":
+		return "CLI"
+	case "KIRO_AI_EDITOR":
+		return "AI_EDITOR"
+	case "AMAZON_Q":
+		return "CLI"
+	case "KIRO_IDE":
+		return "AI_EDITOR"
+	default:
+		return origin
+	}
+}
+
+// extractSystemPromptFromOpenAI extracts system prompt from OpenAI messages
+func extractSystemPromptFromOpenAI(messages gjson.Result) string {
+	if !messages.IsArray() {
+		return ""
+	}
+
+	var systemParts []string
+	for _, msg := range messages.Array() {
+		if msg.Get("role").String() == "system" {
+			content := msg.Get("content")
+			if content.Type == gjson.String {
+				systemParts = append(systemParts, content.String())
+			} else if content.IsArray() {
+				// Handle array content format
+				for _, part := range content.Array() {
+					if part.Get("type").String() == "text" {
+						systemParts = append(systemParts, part.Get("text").String())
+					}
+				}
+			}
+		}
+	}
+
+	return strings.Join(systemParts, "\n")
+}
+
+// shortenToolNameIfNeeded shortens tool names that exceed 64 characters.
+// MCP tools often have long names like "mcp__server-name__tool-name".
+// This preserves the "mcp__" prefix and last segment when possible.
+func shortenToolNameIfNeeded(name string) string {
+	const limit = 64
+	if len(name) <= limit {
+		return name
+	}
+	// For MCP tools, try to preserve prefix and last segment
+	if strings.HasPrefix(name, "mcp__") {
+		idx := strings.LastIndex(name, "__")
+		if idx > 0 {
+			cand := "mcp__" + name[idx+2:]
+			if len(cand) > limit {
+				return cand[:limit]
+			}
+			return cand
+		}
+	}
+	return name[:limit]
+}
+
+// convertOpenAIToolsToKiro converts OpenAI tools to Kiro format
+func convertOpenAIToolsToKiro(tools gjson.Result) []KiroToolWrapper {
+	var kiroTools []KiroToolWrapper
+	if !tools.IsArray() {
+		return kiroTools
+	}
+
+	for _, tool := range tools.Array() {
+		// OpenAI tools have type "function" with function definition inside
+		if tool.Get("type").String() != "function" {
+			continue
+		}
+
+		fn := tool.Get("function")
+		if !fn.Exists() {
+			continue
+		}
+
+		name := fn.Get("name").String()
+		description := fn.Get("description").String()
+		parameters := fn.Get("parameters").Value()
+
+		// Shorten tool name if it exceeds 64 characters (common with MCP tools)
+		originalName := name
+		name = shortenToolNameIfNeeded(name)
+		if name != originalName {
+			log.Debugf("kiro-openai: shortened tool name from '%s' to '%s'", originalName, name)
+		}
+
+		// CRITICAL FIX: Kiro API requires non-empty description
+		if strings.TrimSpace(description) == "" {
+			description = fmt.Sprintf("Tool: %s", name)
+			log.Debugf("kiro-openai: tool '%s' has empty description, using default: %s", name, description)
+		}
+
+		// Truncate long descriptions
+		if len(description) > kirocommon.KiroMaxToolDescLen {
+			truncLen := kirocommon.KiroMaxToolDescLen - 30
+			for truncLen > 0 && !utf8.RuneStart(description[truncLen]) {
+				truncLen--
+			}
+			description = description[:truncLen] + "... (description truncated)"
+		}
+
+		kiroTools = append(kiroTools, KiroToolWrapper{
+			ToolSpecification: KiroToolSpecification{
+				Name:        name,
+				Description: description,
+				InputSchema: KiroInputSchema{JSON: parameters},
+			},
+		})
+	}
+
+	return kiroTools
+}
+
+// processOpenAIMessages processes OpenAI messages and builds Kiro history
+func processOpenAIMessages(messages gjson.Result, modelID, origin string) ([]KiroHistoryMessage, *KiroUserInputMessage, []KiroToolResult) {
+	var history []KiroHistoryMessage
+	var currentUserMsg *KiroUserInputMessage
+	var currentToolResults []KiroToolResult
+
+	if !messages.IsArray() {
+		return history, currentUserMsg, currentToolResults
+	}
+
+	// Merge adjacent messages with the same role
+	messagesArray := kirocommon.MergeAdjacentMessages(messages.Array())
+
+	// Track pending tool results that should be attached to the next user message
+	// This is critical for LiteLLM-translated requests where tool results appear
+	// as separate "tool" role messages between assistant and user messages
+	var pendingToolResults []KiroToolResult
+
+	for i, msg := range messagesArray {
+		role := msg.Get("role").String()
+		isLastMessage := i == len(messagesArray)-1
+
+		switch role {
+		case "system":
+			// System messages are handled separately via extractSystemPromptFromOpenAI
+			continue
+
+		case "user":
+			userMsg, toolResults := buildUserMessageFromOpenAI(msg, modelID, origin)
+			// Merge any pending tool results from preceding "tool" role messages
+			toolResults = append(pendingToolResults, toolResults...)
+			pendingToolResults = nil // Reset pending tool results
+
+			if isLastMessage {
+				currentUserMsg = &userMsg
+				currentToolResults = toolResults
+			} else {
+				// CRITICAL: Kiro API requires content to be non-empty for history messages
+				if strings.TrimSpace(userMsg.Content) == "" {
+					if len(toolResults) > 0 {
+						userMsg.Content = "Tool results provided."
+					} else {
+						userMsg.Content = "Continue"
+					}
+				}
+				// For history messages, embed tool results in context
+				if len(toolResults) > 0 {
+					userMsg.UserInputMessageContext = &KiroUserInputMessageContext{
+						ToolResults: toolResults,
+					}
+				}
+				history = append(history, KiroHistoryMessage{
+					UserInputMessage: &userMsg,
+				})
+			}
+
+		case "assistant":
+			assistantMsg := buildAssistantMessageFromOpenAI(msg)
+
+			// If there are pending tool results, we need to insert a synthetic user message
+			// before this assistant message to maintain proper conversation structure
+			if len(pendingToolResults) > 0 {
+				syntheticUserMsg := KiroUserInputMessage{
+					Content: "Tool results provided.",
+					ModelID: modelID,
+					Origin:  origin,
+					UserInputMessageContext: &KiroUserInputMessageContext{
+						ToolResults: pendingToolResults,
+					},
+				}
+				history = append(history, KiroHistoryMessage{
+					UserInputMessage: &syntheticUserMsg,
+				})
+				pendingToolResults = nil
+			}
+
+			if isLastMessage {
+				history = append(history, KiroHistoryMessage{
+					AssistantResponseMessage: &assistantMsg,
+				})
+				// Create a "Continue" user message as currentMessage
+				currentUserMsg = &KiroUserInputMessage{
+					Content: "Continue",
+					ModelID: modelID,
+					Origin:  origin,
+				}
+			} else {
+				history = append(history, KiroHistoryMessage{
+					AssistantResponseMessage: &assistantMsg,
+				})
+			}
+
+		case "tool":
+			// Tool messages in OpenAI format provide results for tool_calls
+			// These are typically followed by user or assistant messages
+			// Collect them as pending and attach to the next user message
+			toolCallID := msg.Get("tool_call_id").String()
+			content := msg.Get("content").String()
+
+			if toolCallID != "" {
+				toolResult := KiroToolResult{
+					ToolUseID: toolCallID,
+					Content:   []KiroTextContent{{Text: content}},
+					Status:    "success",
+				}
+				// Collect pending tool results to attach to the next user message
+				pendingToolResults = append(pendingToolResults, toolResult)
+			}
+		}
+	}
+
+	// Handle case where tool results are at the end with no following user message
+	if len(pendingToolResults) > 0 {
+		currentToolResults = append(currentToolResults, pendingToolResults...)
+		// If there's no current user message, create a synthetic one for the tool results
+		if currentUserMsg == nil {
+			currentUserMsg = &KiroUserInputMessage{
+				Content: "Tool results provided.",
+				ModelID: modelID,
+				Origin:  origin,
+			}
+		}
+	}
+
+	return history, currentUserMsg, currentToolResults
+}
+
+// buildUserMessageFromOpenAI builds a user message from OpenAI format and extracts tool results
+func buildUserMessageFromOpenAI(msg gjson.Result, modelID, origin string) (KiroUserInputMessage, []KiroToolResult) {
+	content := msg.Get("content")
+	var contentBuilder strings.Builder
+	var toolResults []KiroToolResult
+	var images []KiroImage
+
+	if content.IsArray() {
+		for _, part := range content.Array() {
+			partType := part.Get("type").String()
+			switch partType {
+			case "text":
+				contentBuilder.WriteString(part.Get("text").String())
+			case "image_url":
+				imageURL := part.Get("image_url.url").String()
+				if strings.HasPrefix(imageURL, "data:") {
+					// Parse data URL: data:image/png;base64,xxxxx
+					if idx := strings.Index(imageURL, ";base64,"); idx != -1 {
+						mediaType := imageURL[5:idx] // Skip "data:"
+						data := imageURL[idx+8:]     // Skip ";base64,"
+
+						format := ""
+						if lastSlash := strings.LastIndex(mediaType, "/"); lastSlash != -1 {
+							format = mediaType[lastSlash+1:]
+						}
+
+						if format != "" && data != "" {
+							images = append(images, KiroImage{
+								Format: format,
+								Source: KiroImageSource{
+									Bytes: data,
+								},
+							})
+						}
+					}
+				}
+			}
+		}
+	} else if content.Type == gjson.String {
+		contentBuilder.WriteString(content.String())
+	}
+
+	userMsg := KiroUserInputMessage{
+		Content: contentBuilder.String(),
+		ModelID: modelID,
+		Origin:  origin,
+	}
+
+	if len(images) > 0 {
+		userMsg.Images = images
+	}
+
+	return userMsg, toolResults
+}
+
+// buildAssistantMessageFromOpenAI builds an assistant message from OpenAI format
+func buildAssistantMessageFromOpenAI(msg gjson.Result) KiroAssistantResponseMessage {
+	content := msg.Get("content")
+	var contentBuilder strings.Builder
+	var toolUses []KiroToolUse
+
+	// Handle content
+	if content.Type == gjson.String {
+		contentBuilder.WriteString(content.String())
+	} else if content.IsArray() {
+		for _, part := range content.Array() {
+			if part.Get("type").String() == "text" {
+				contentBuilder.WriteString(part.Get("text").String())
+			}
+		}
+	}
+
+	// Handle tool_calls
+	toolCalls := msg.Get("tool_calls")
+	if toolCalls.IsArray() {
+		for _, tc := range toolCalls.Array() {
+			if tc.Get("type").String() != "function" {
+				continue
+			}
+
+			toolUseID := tc.Get("id").String()
+			toolName := tc.Get("function.name").String()
+			toolArgs := tc.Get("function.arguments").String()
+
+			var inputMap map[string]interface{}
+			if err := json.Unmarshal([]byte(toolArgs), &inputMap); err != nil {
+				log.Debugf("kiro-openai: failed to parse tool arguments: %v", err)
+				inputMap = make(map[string]interface{})
+			}
+
+			toolUses = append(toolUses, KiroToolUse{
+				ToolUseID: toolUseID,
+				Name:      toolName,
+				Input:     inputMap,
+			})
+		}
+	}
+
+	return KiroAssistantResponseMessage{
+		Content:  contentBuilder.String(),
+		ToolUses: toolUses,
+	}
+}
+
+// buildFinalContent builds the final content with system prompt
+func buildFinalContent(content, systemPrompt string, toolResults []KiroToolResult) string {
+	var contentBuilder strings.Builder
+
+	if systemPrompt != "" {
+		contentBuilder.WriteString("--- SYSTEM PROMPT ---\n")
+		contentBuilder.WriteString(systemPrompt)
+		contentBuilder.WriteString("\n--- END SYSTEM PROMPT ---\n\n")
+	}
+
+	contentBuilder.WriteString(content)
+	finalContent := contentBuilder.String()
+
+	// CRITICAL: Kiro API requires content to be non-empty
+	if strings.TrimSpace(finalContent) == "" {
+		if len(toolResults) > 0 {
+			finalContent = "Tool results provided."
+		} else {
+			finalContent = "Continue"
+		}
+		log.Debugf("kiro-openai: content was empty, using default: %s", finalContent)
+	}
+
+	return finalContent
+}
+
+// checkThinkingModeFromOpenAI checks if thinking mode is enabled in the OpenAI request.
+// Returns thinkingEnabled.
+// Supports:
+// - reasoning_effort parameter (low/medium/high/auto)
+// - Model name containing "thinking" or "reason"
+// - <thinking_mode> tag in system prompt (AMP/Cursor format)
+func checkThinkingModeFromOpenAI(openaiBody []byte) bool {
+	return checkThinkingModeFromOpenAIWithHeaders(openaiBody, nil)
+}
+
+// checkThinkingModeFromOpenAIWithHeaders checks if thinking mode is enabled in the OpenAI request.
+// Returns thinkingEnabled.
+// Supports:
+// - Anthropic-Beta header with interleaved-thinking (Claude CLI)
+// - reasoning_effort parameter (low/medium/high/auto)
+// - Model name containing "thinking" or "reason"
+// - <thinking_mode> tag in system prompt (AMP/Cursor format)
+func checkThinkingModeFromOpenAIWithHeaders(openaiBody []byte, headers http.Header) bool {
+	// Check Anthropic-Beta header first (Claude CLI uses this)
+	if kiroclaude.IsThinkingEnabledFromHeader(headers) {
+		log.Debugf("kiro-openai: thinking mode enabled via Anthropic-Beta header")
+		return true
+	}
+
+	// Check OpenAI format: reasoning_effort parameter
+	// Valid values: "low", "medium", "high", "auto" (not "none")
+	reasoningEffort := gjson.GetBytes(openaiBody, "reasoning_effort")
+	if reasoningEffort.Exists() {
+		effort := reasoningEffort.String()
+		if effort != "" && effort != "none" {
+			log.Debugf("kiro-openai: thinking mode enabled via reasoning_effort: %s", effort)
+			return true
+		}
+	}
+
+	// Check AMP/Cursor format: <thinking_mode>interleaved</thinking_mode> in system prompt
+	bodyStr := string(openaiBody)
+	if strings.Contains(bodyStr, "<thinking_mode>") && strings.Contains(bodyStr, "</thinking_mode>") {
+		startTag := "<thinking_mode>"
+		endTag := "</thinking_mode>"
+		startIdx := strings.Index(bodyStr, startTag)
+		if startIdx >= 0 {
+			startIdx += len(startTag)
+			endIdx := strings.Index(bodyStr[startIdx:], endTag)
+			if endIdx >= 0 {
+				thinkingMode := bodyStr[startIdx : startIdx+endIdx]
+				if thinkingMode == "interleaved" || thinkingMode == "enabled" {
+					log.Debugf("kiro-openai: thinking mode enabled via AMP/Cursor format: %s", thinkingMode)
+					return true
+				}
+			}
+		}
+	}
+
+	// Check model name for thinking hints
+	model := gjson.GetBytes(openaiBody, "model").String()
+	modelLower := strings.ToLower(model)
+	if strings.Contains(modelLower, "thinking") || strings.Contains(modelLower, "-reason") {
+		log.Debugf("kiro-openai: thinking mode enabled via model name hint: %s", model)
+		return true
+	}
+
+	log.Debugf("kiro-openai: no thinking mode detected in OpenAI request")
+	return false
+}
+
+// hasThinkingTagInBody checks if the request body already contains thinking configuration tags.
+// This is used to prevent duplicate injection when client (e.g., AMP/Cursor) already includes thinking config.
+func hasThinkingTagInBody(body []byte) bool {
+	bodyStr := string(body)
+	return strings.Contains(bodyStr, "<thinking_mode>") || strings.Contains(bodyStr, "<max_thinking_length>")
+}
+
+
+// extractToolChoiceHint extracts tool_choice from OpenAI request and returns a system prompt hint.
+// OpenAI tool_choice values:
+// - "none": Don't use any tools
+// - "auto": Model decides (default, no hint needed)
+// - "required": Must use at least one tool
+// - {"type":"function","function":{"name":"..."}} : Must use specific tool
+func extractToolChoiceHint(openaiBody []byte) string {
+	toolChoice := gjson.GetBytes(openaiBody, "tool_choice")
+	if !toolChoice.Exists() {
+		return ""
+	}
+
+	// Handle string values
+	if toolChoice.Type == gjson.String {
+		switch toolChoice.String() {
+		case "none":
+			// Note: When tool_choice is "none", we should ideally not pass tools at all
+			// But since we can't modify tool passing here, we add a strong hint
+			return "[INSTRUCTION: Do NOT use any tools. Respond with text only.]"
+		case "required":
+			return "[INSTRUCTION: You MUST use at least one of the available tools to respond. Do not respond with text only - always make a tool call.]"
+		case "auto":
+			// Default behavior, no hint needed
+			return ""
+		}
+	}
+
+	// Handle object value: {"type":"function","function":{"name":"..."}}
+	if toolChoice.IsObject() {
+		if toolChoice.Get("type").String() == "function" {
+			toolName := toolChoice.Get("function.name").String()
+			if toolName != "" {
+				return fmt.Sprintf("[INSTRUCTION: You MUST use the tool named '%s' to respond. Do not use any other tool or respond with text only.]", toolName)
+			}
+		}
+	}
+
+	return ""
+}
+
+// extractResponseFormatHint extracts response_format from OpenAI request and returns a system prompt hint.
+// OpenAI response_format values:
+// - {"type": "text"}: Default, no hint needed
+// - {"type": "json_object"}: Must respond with valid JSON
+// - {"type": "json_schema", "json_schema": {...}}: Must respond with JSON matching schema
+func extractResponseFormatHint(openaiBody []byte) string {
+	responseFormat := gjson.GetBytes(openaiBody, "response_format")
+	if !responseFormat.Exists() {
+		return ""
+	}
+
+	formatType := responseFormat.Get("type").String()
+	switch formatType {
+	case "json_object":
+		return "[INSTRUCTION: You MUST respond with valid JSON only. Do not include any text before or after the JSON. Do not wrap the JSON in markdown code blocks. Output raw JSON directly.]"
+	case "json_schema":
+		// Extract schema if provided
+		schema := responseFormat.Get("json_schema.schema")
+		if schema.Exists() {
+			schemaStr := schema.Raw
+			// Truncate if too long
+			if len(schemaStr) > 500 {
+				schemaStr = schemaStr[:500] + "..."
+			}
+			return fmt.Sprintf("[INSTRUCTION: You MUST respond with valid JSON that matches this schema: %s. Do not include any text before or after the JSON. Do not wrap the JSON in markdown code blocks. Output raw JSON directly.]", schemaStr)
+		}
+		return "[INSTRUCTION: You MUST respond with valid JSON only. Do not include any text before or after the JSON. Do not wrap the JSON in markdown code blocks. Output raw JSON directly.]"
+	case "text":
+		// Default behavior, no hint needed
+		return ""
+	}
+
+	return ""
+}
+
+// deduplicateToolResults removes duplicate tool results
+func deduplicateToolResults(toolResults []KiroToolResult) []KiroToolResult {
+	if len(toolResults) == 0 {
+		return toolResults
+	}
+
+	seenIDs := make(map[string]bool)
+	unique := make([]KiroToolResult, 0, len(toolResults))
+	for _, tr := range toolResults {
+		if !seenIDs[tr.ToolUseID] {
+			seenIDs[tr.ToolUseID] = true
+			unique = append(unique, tr)
+		} else {
+			log.Debugf("kiro-openai: skipping duplicate toolResult: %s", tr.ToolUseID)
+		}
+	}
+	return unique
+}

internal/translator/kiro/openai/kiro_openai_request_test.go

@@ -0,0 +1,386 @@
+package openai
+
+import (
+	"encoding/json"
+	"testing"
+)
+
+// TestToolResultsAttachedToCurrentMessage verifies that tool results from "tool" role messages
+// are properly attached to the current user message (the last message in the conversation).
+// This is critical for LiteLLM-translated requests where tool results appear as separate messages.
+func TestToolResultsAttachedToCurrentMessage(t *testing.T) {
+	// OpenAI format request simulating LiteLLM's translation from Anthropic format
+	// Sequence: user -> assistant (with tool_calls) -> tool (result) -> user
+	// The last user message should have the tool results attached
+	input := []byte(`{
+		"model": "kiro-claude-opus-4-5-agentic",
+		"messages": [
+			{"role": "user", "content": "Hello, can you read a file for me?"},
+			{
+				"role": "assistant",
+				"content": "I'll read that file for you.",
+				"tool_calls": [
+					{
+						"id": "call_abc123",
+						"type": "function",
+						"function": {
+							"name": "Read",
+							"arguments": "{\"file_path\": \"/tmp/test.txt\"}"
+						}
+					}
+				]
+			},
+			{
+				"role": "tool",
+				"tool_call_id": "call_abc123",
+				"content": "File contents: Hello World!"
+			},
+			{"role": "user", "content": "What did the file say?"}
+		]
+	}`)
+
+	result, _ := BuildKiroPayloadFromOpenAI(input, "kiro-model", "", "CLI", false, false, nil, nil)
+
+	var payload KiroPayload
+	if err := json.Unmarshal(result, &payload); err != nil {
+		t.Fatalf("Failed to unmarshal result: %v", err)
+	}
+
+	// The last user message becomes currentMessage
+	// History should have: user (first), assistant (with tool_calls)
+	t.Logf("History count: %d", len(payload.ConversationState.History))
+	if len(payload.ConversationState.History) != 2 {
+		t.Errorf("Expected 2 history entries (user + assistant), got %d", len(payload.ConversationState.History))
+	}
+
+	// Tool results should be attached to currentMessage (the last user message)
+	ctx := payload.ConversationState.CurrentMessage.UserInputMessage.UserInputMessageContext
+	if ctx == nil {
+		t.Fatal("Expected currentMessage to have UserInputMessageContext with tool results")
+	}
+
+	if len(ctx.ToolResults) != 1 {
+		t.Fatalf("Expected 1 tool result in currentMessage, got %d", len(ctx.ToolResults))
+	}
+
+	tr := ctx.ToolResults[0]
+	if tr.ToolUseID != "call_abc123" {
+		t.Errorf("Expected toolUseId 'call_abc123', got '%s'", tr.ToolUseID)
+	}
+	if len(tr.Content) == 0 || tr.Content[0].Text != "File contents: Hello World!" {
+		t.Errorf("Tool result content mismatch, got: %+v", tr.Content)
+	}
+}
+
+// TestToolResultsInHistoryUserMessage verifies that when there are multiple user messages
+// after tool results, the tool results are attached to the correct user message in history.
+func TestToolResultsInHistoryUserMessage(t *testing.T) {
+	// Sequence: user -> assistant (with tool_calls) -> tool (result) -> user -> assistant -> user
+	// The first user after tool should have tool results in history
+	input := []byte(`{
+		"model": "kiro-claude-opus-4-5-agentic",
+		"messages": [
+			{"role": "user", "content": "Hello"},
+			{
+				"role": "assistant",
+				"content": "I'll read the file.",
+				"tool_calls": [
+					{
+						"id": "call_1",
+						"type": "function",
+						"function": {
+							"name": "Read",
+							"arguments": "{}"
+						}
+					}
+				]
+			},
+			{
+				"role": "tool",
+				"tool_call_id": "call_1",
+				"content": "File result"
+			},
+			{"role": "user", "content": "Thanks for the file"},
+			{"role": "assistant", "content": "You're welcome"},
+			{"role": "user", "content": "Bye"}
+		]
+	}`)
+
+	result, _ := BuildKiroPayloadFromOpenAI(input, "kiro-model", "", "CLI", false, false, nil, nil)
+
+	var payload KiroPayload
+	if err := json.Unmarshal(result, &payload); err != nil {
+		t.Fatalf("Failed to unmarshal result: %v", err)
+	}
+
+	// History should have: user, assistant, user (with tool results), assistant
+	// CurrentMessage should be: last user "Bye"
+	t.Logf("History count: %d", len(payload.ConversationState.History))
+
+	// Find the user message in history with tool results
+	foundToolResults := false
+	for i, h := range payload.ConversationState.History {
+		if h.UserInputMessage != nil {
+			t.Logf("History[%d]: user message content=%q", i, h.UserInputMessage.Content)
+			if h.UserInputMessage.UserInputMessageContext != nil {
+				if len(h.UserInputMessage.UserInputMessageContext.ToolResults) > 0 {
+					foundToolResults = true
+					t.Logf("  Found %d tool results", len(h.UserInputMessage.UserInputMessageContext.ToolResults))
+					tr := h.UserInputMessage.UserInputMessageContext.ToolResults[0]
+					if tr.ToolUseID != "call_1" {
+						t.Errorf("Expected toolUseId 'call_1', got '%s'", tr.ToolUseID)
+					}
+				}
+			}
+		}
+		if h.AssistantResponseMessage != nil {
+			t.Logf("History[%d]: assistant message content=%q", i, h.AssistantResponseMessage.Content)
+		}
+	}
+
+	if !foundToolResults {
+		t.Error("Tool results were not attached to any user message in history")
+	}
+}
+
+// TestToolResultsWithMultipleToolCalls verifies handling of multiple tool calls
+func TestToolResultsWithMultipleToolCalls(t *testing.T) {
+	input := []byte(`{
+		"model": "kiro-claude-opus-4-5-agentic",
+		"messages": [
+			{"role": "user", "content": "Read two files for me"},
+			{
+				"role": "assistant",
+				"content": "I'll read both files.",
+				"tool_calls": [
+					{
+						"id": "call_1",
+						"type": "function",
+						"function": {
+							"name": "Read",
+							"arguments": "{\"file_path\": \"/tmp/file1.txt\"}"
+						}
+					},
+					{
+						"id": "call_2",
+						"type": "function",
+						"function": {
+							"name": "Read",
+							"arguments": "{\"file_path\": \"/tmp/file2.txt\"}"
+						}
+					}
+				]
+			},
+			{
+				"role": "tool",
+				"tool_call_id": "call_1",
+				"content": "Content of file 1"
+			},
+			{
+				"role": "tool",
+				"tool_call_id": "call_2",
+				"content": "Content of file 2"
+			},
+			{"role": "user", "content": "What do they say?"}
+		]
+	}`)
+
+	result, _ := BuildKiroPayloadFromOpenAI(input, "kiro-model", "", "CLI", false, false, nil, nil)
+
+	var payload KiroPayload
+	if err := json.Unmarshal(result, &payload); err != nil {
+		t.Fatalf("Failed to unmarshal result: %v", err)
+	}
+
+	t.Logf("History count: %d", len(payload.ConversationState.History))
+	t.Logf("CurrentMessage content: %q", payload.ConversationState.CurrentMessage.UserInputMessage.Content)
+
+	// Check if there are any tool results anywhere
+	var totalToolResults int
+	for i, h := range payload.ConversationState.History {
+		if h.UserInputMessage != nil && h.UserInputMessage.UserInputMessageContext != nil {
+			count := len(h.UserInputMessage.UserInputMessageContext.ToolResults)
+			t.Logf("History[%d] user message has %d tool results", i, count)
+			totalToolResults += count
+		}
+	}
+
+	ctx := payload.ConversationState.CurrentMessage.UserInputMessage.UserInputMessageContext
+	if ctx != nil {
+		t.Logf("CurrentMessage has %d tool results", len(ctx.ToolResults))
+		totalToolResults += len(ctx.ToolResults)
+	} else {
+		t.Logf("CurrentMessage has no UserInputMessageContext")
+	}
+
+	if totalToolResults != 2 {
+		t.Errorf("Expected 2 tool results total, got %d", totalToolResults)
+	}
+}
+
+// TestToolResultsAtEndOfConversation verifies tool results are handled when
+// the conversation ends with tool results (no following user message)
+func TestToolResultsAtEndOfConversation(t *testing.T) {
+	input := []byte(`{
+		"model": "kiro-claude-opus-4-5-agentic",
+		"messages": [
+			{"role": "user", "content": "Read a file"},
+			{
+				"role": "assistant",
+				"content": "Reading the file.",
+				"tool_calls": [
+					{
+						"id": "call_end",
+						"type": "function",
+						"function": {
+							"name": "Read",
+							"arguments": "{\"file_path\": \"/tmp/test.txt\"}"
+						}
+					}
+				]
+			},
+			{
+				"role": "tool",
+				"tool_call_id": "call_end",
+				"content": "File contents here"
+			}
+		]
+	}`)
+
+	result, _ := BuildKiroPayloadFromOpenAI(input, "kiro-model", "", "CLI", false, false, nil, nil)
+
+	var payload KiroPayload
+	if err := json.Unmarshal(result, &payload); err != nil {
+		t.Fatalf("Failed to unmarshal result: %v", err)
+	}
+
+	// When the last message is a tool result, a synthetic user message is created
+	// and tool results should be attached to it
+	ctx := payload.ConversationState.CurrentMessage.UserInputMessage.UserInputMessageContext
+	if ctx == nil || len(ctx.ToolResults) == 0 {
+		t.Error("Expected tool results to be attached to current message when conversation ends with tool result")
+	} else {
+		if ctx.ToolResults[0].ToolUseID != "call_end" {
+			t.Errorf("Expected toolUseId 'call_end', got '%s'", ctx.ToolResults[0].ToolUseID)
+		}
+	}
+}
+
+// TestToolResultsFollowedByAssistant verifies handling when tool results are followed
+// by an assistant message (no intermediate user message).
+// This is the pattern from LiteLLM translation of Anthropic format where:
+// user message has ONLY tool_result blocks -> LiteLLM creates tool messages
+// then the next message is assistant
+func TestToolResultsFollowedByAssistant(t *testing.T) {
+	// Sequence: user -> assistant (with tool_calls) -> tool -> tool -> assistant -> user
+	// This simulates LiteLLM's translation of:
+	//   user: "Read files"
+	//   assistant: [tool_use, tool_use]
+	//   user: [tool_result, tool_result]  <- becomes multiple "tool" role messages
+	//   assistant: "I've read them"
+	//   user: "What did they say?"
+	input := []byte(`{
+		"model": "kiro-claude-opus-4-5-agentic",
+		"messages": [
+			{"role": "user", "content": "Read two files for me"},
+			{
+				"role": "assistant",
+				"content": "I'll read both files.",
+				"tool_calls": [
+					{
+						"id": "call_1",
+						"type": "function",
+						"function": {
+							"name": "Read",
+							"arguments": "{\"file_path\": \"/tmp/a.txt\"}"
+						}
+					},
+					{
+						"id": "call_2",
+						"type": "function",
+						"function": {
+							"name": "Read",
+							"arguments": "{\"file_path\": \"/tmp/b.txt\"}"
+						}
+					}
+				]
+			},
+			{
+				"role": "tool",
+				"tool_call_id": "call_1",
+				"content": "Contents of file A"
+			},
+			{
+				"role": "tool",
+				"tool_call_id": "call_2",
+				"content": "Contents of file B"
+			},
+			{
+				"role": "assistant",
+				"content": "I've read both files."
+			},
+			{"role": "user", "content": "What did they say?"}
+		]
+	}`)
+
+	result, _ := BuildKiroPayloadFromOpenAI(input, "kiro-model", "", "CLI", false, false, nil, nil)
+
+	var payload KiroPayload
+	if err := json.Unmarshal(result, &payload); err != nil {
+		t.Fatalf("Failed to unmarshal result: %v", err)
+	}
+
+	t.Logf("History count: %d", len(payload.ConversationState.History))
+
+	// Tool results should be attached to a synthetic user message or the history should be valid
+	var totalToolResults int
+	for i, h := range payload.ConversationState.History {
+		if h.UserInputMessage != nil {
+			t.Logf("History[%d]: user message content=%q", i, h.UserInputMessage.Content)
+			if h.UserInputMessage.UserInputMessageContext != nil {
+				count := len(h.UserInputMessage.UserInputMessageContext.ToolResults)
+				t.Logf("  Has %d tool results", count)
+				totalToolResults += count
+			}
+		}
+		if h.AssistantResponseMessage != nil {
+			t.Logf("History[%d]: assistant message content=%q", i, h.AssistantResponseMessage.Content)
+		}
+	}
+
+	ctx := payload.ConversationState.CurrentMessage.UserInputMessage.UserInputMessageContext
+	if ctx != nil {
+		t.Logf("CurrentMessage has %d tool results", len(ctx.ToolResults))
+		totalToolResults += len(ctx.ToolResults)
+	}
+
+	if totalToolResults != 2 {
+		t.Errorf("Expected 2 tool results total, got %d", totalToolResults)
+	}
+}
+
+// TestAssistantEndsConversation verifies handling when assistant is the last message
+func TestAssistantEndsConversation(t *testing.T) {
+	input := []byte(`{
+		"model": "kiro-claude-opus-4-5-agentic",
+		"messages": [
+			{"role": "user", "content": "Hello"},
+			{
+				"role": "assistant",
+				"content": "Hi there!"
+			}
+		]
+	}`)
+
+	result, _ := BuildKiroPayloadFromOpenAI(input, "kiro-model", "", "CLI", false, false, nil, nil)
+
+	var payload KiroPayload
+	if err := json.Unmarshal(result, &payload); err != nil {
+		t.Fatalf("Failed to unmarshal result: %v", err)
+	}
+
+	// When assistant is last, a "Continue" user message should be created
+	if payload.ConversationState.CurrentMessage.UserInputMessage.Content == "" {
+		t.Error("Expected a 'Continue' message to be created when assistant is last")
+	}
+}

internal/translator/kiro/openai/kiro_openai_response.go

@@ -0,0 +1,277 @@
+// Package openai provides response translation from Kiro to OpenAI format.
+// This package handles the conversion of Kiro API responses into OpenAI Chat Completions-compatible
+// JSON format, transforming streaming events and non-streaming responses.
+package openai
+
+import (
+	"encoding/json"
+	"fmt"
+	"sync/atomic"
+	"time"
+
+	"github.com/google/uuid"
+	"github.com/router-for-me/CLIProxyAPI/v6/sdk/cliproxy/usage"
+	log "github.com/sirupsen/logrus"
+)
+
+// functionCallIDCounter provides a process-wide unique counter for function call identifiers.
+var functionCallIDCounter uint64
+
+// BuildOpenAIResponse constructs an OpenAI Chat Completions-compatible response.
+// Supports tool_calls when tools are present in the response.
+// stopReason is passed from upstream; fallback logic applied if empty.
+func BuildOpenAIResponse(content string, toolUses []KiroToolUse, model string, usageInfo usage.Detail, stopReason string) []byte {
+	return BuildOpenAIResponseWithReasoning(content, "", toolUses, model, usageInfo, stopReason)
+}
+
+// BuildOpenAIResponseWithReasoning constructs an OpenAI Chat Completions-compatible response with reasoning_content support.
+// Supports tool_calls when tools are present in the response.
+// reasoningContent is included as reasoning_content field in the message when present.
+// stopReason is passed from upstream; fallback logic applied if empty.
+func BuildOpenAIResponseWithReasoning(content, reasoningContent string, toolUses []KiroToolUse, model string, usageInfo usage.Detail, stopReason string) []byte {
+	// Build the message object
+	message := map[string]interface{}{
+		"role":    "assistant",
+		"content": content,
+	}
+
+	// Add reasoning_content if present (for thinking/reasoning models)
+	if reasoningContent != "" {
+		message["reasoning_content"] = reasoningContent
+	}
+
+	// Add tool_calls if present
+	if len(toolUses) > 0 {
+		var toolCalls []map[string]interface{}
+		for i, tu := range toolUses {
+			inputJSON, _ := json.Marshal(tu.Input)
+			toolCalls = append(toolCalls, map[string]interface{}{
+				"id":    tu.ToolUseID,
+				"type":  "function",
+				"index": i,
+				"function": map[string]interface{}{
+					"name":      tu.Name,
+					"arguments": string(inputJSON),
+				},
+			})
+		}
+		message["tool_calls"] = toolCalls
+		// When tool_calls are present, content should be null according to OpenAI spec
+		if content == "" {
+			message["content"] = nil
+		}
+	}
+
+	// Use upstream stopReason; apply fallback logic if not provided
+	finishReason := mapKiroStopReasonToOpenAI(stopReason)
+	if finishReason == "" {
+		finishReason = "stop"
+		if len(toolUses) > 0 {
+			finishReason = "tool_calls"
+		}
+		log.Debugf("kiro-openai: buildOpenAIResponse using fallback finish_reason: %s", finishReason)
+	}
+
+	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":     usageInfo.InputTokens,
+			"completion_tokens": usageInfo.OutputTokens,
+			"total_tokens":      usageInfo.InputTokens + usageInfo.OutputTokens,
+		},
+	}
+
+	result, _ := json.Marshal(response)
+	return result
+}
+
+// mapKiroStopReasonToOpenAI converts Kiro/Claude stop_reason to OpenAI finish_reason
+func mapKiroStopReasonToOpenAI(stopReason string) string {
+	switch stopReason {
+	case "end_turn":
+		return "stop"
+	case "stop_sequence":
+		return "stop"
+	case "tool_use":
+		return "tool_calls"
+	case "max_tokens":
+		return "length"
+	case "content_filtered":
+		return "content_filter"
+	default:
+		return stopReason
+	}
+}
+
+// BuildOpenAIStreamChunk constructs an OpenAI Chat Completions streaming chunk.
+// This is the delta format used in streaming responses.
+func BuildOpenAIStreamChunk(model string, deltaContent string, deltaToolCalls []map[string]interface{}, finishReason string, index int) []byte {
+	delta := map[string]interface{}{}
+
+	// First chunk should include role
+	if index == 0 && deltaContent == "" && len(deltaToolCalls) == 0 {
+		delta["role"] = "assistant"
+		delta["content"] = ""
+	} else if deltaContent != "" {
+		delta["content"] = deltaContent
+	}
+
+	// Add tool_calls delta if present
+	if len(deltaToolCalls) > 0 {
+		delta["tool_calls"] = deltaToolCalls
+	}
+
+	choice := map[string]interface{}{
+		"index": 0,
+		"delta": delta,
+	}
+
+	if finishReason != "" {
+		choice["finish_reason"] = finishReason
+	} else {
+		choice["finish_reason"] = nil
+	}
+
+	chunk := map[string]interface{}{
+		"id":      "chatcmpl-" + uuid.New().String()[:12],
+		"object":  "chat.completion.chunk",
+		"created": time.Now().Unix(),
+		"model":   model,
+		"choices": []map[string]interface{}{choice},
+	}
+
+	result, _ := json.Marshal(chunk)
+	return result
+}
+
+// BuildOpenAIStreamChunkWithToolCallStart creates a stream chunk for tool call start
+func BuildOpenAIStreamChunkWithToolCallStart(model string, toolUseID, toolName string, toolIndex int) []byte {
+	toolCall := map[string]interface{}{
+		"index": toolIndex,
+		"id":    toolUseID,
+		"type":  "function",
+		"function": map[string]interface{}{
+			"name":      toolName,
+			"arguments": "",
+		},
+	}
+
+	delta := map[string]interface{}{
+		"tool_calls": []map[string]interface{}{toolCall},
+	}
+
+	choice := map[string]interface{}{
+		"index":         0,
+		"delta":         delta,
+		"finish_reason": nil,
+	}
+
+	chunk := map[string]interface{}{
+		"id":      "chatcmpl-" + uuid.New().String()[:12],
+		"object":  "chat.completion.chunk",
+		"created": time.Now().Unix(),
+		"model":   model,
+		"choices": []map[string]interface{}{choice},
+	}
+
+	result, _ := json.Marshal(chunk)
+	return result
+}
+
+// BuildOpenAIStreamChunkWithToolCallDelta creates a stream chunk for tool call arguments delta
+func BuildOpenAIStreamChunkWithToolCallDelta(model string, argumentsDelta string, toolIndex int) []byte {
+	toolCall := map[string]interface{}{
+		"index": toolIndex,
+		"function": map[string]interface{}{
+			"arguments": argumentsDelta,
+		},
+	}
+
+	delta := map[string]interface{}{
+		"tool_calls": []map[string]interface{}{toolCall},
+	}
+
+	choice := map[string]interface{}{
+		"index":         0,
+		"delta":         delta,
+		"finish_reason": nil,
+	}
+
+	chunk := map[string]interface{}{
+		"id":      "chatcmpl-" + uuid.New().String()[:12],
+		"object":  "chat.completion.chunk",
+		"created": time.Now().Unix(),
+		"model":   model,
+		"choices": []map[string]interface{}{choice},
+	}
+
+	result, _ := json.Marshal(chunk)
+	return result
+}
+
+// BuildOpenAIStreamDoneChunk creates the final [DONE] stream event
+func BuildOpenAIStreamDoneChunk() []byte {
+	return []byte("data: [DONE]")
+}
+
+// BuildOpenAIStreamFinishChunk creates the final chunk with finish_reason
+func BuildOpenAIStreamFinishChunk(model string, finishReason string) []byte {
+	choice := map[string]interface{}{
+		"index":         0,
+		"delta":         map[string]interface{}{},
+		"finish_reason": finishReason,
+	}
+
+	chunk := map[string]interface{}{
+		"id":      "chatcmpl-" + uuid.New().String()[:12],
+		"object":  "chat.completion.chunk",
+		"created": time.Now().Unix(),
+		"model":   model,
+		"choices": []map[string]interface{}{choice},
+	}
+
+	result, _ := json.Marshal(chunk)
+	return result
+}
+
+// BuildOpenAIStreamUsageChunk creates a chunk with usage information (optional, for stream_options.include_usage)
+func BuildOpenAIStreamUsageChunk(model string, usageInfo usage.Detail) []byte {
+	chunk := map[string]interface{}{
+		"id":      "chatcmpl-" + uuid.New().String()[:12],
+		"object":  "chat.completion.chunk",
+		"created": time.Now().Unix(),
+		"model":   model,
+		"choices": []map[string]interface{}{},
+		"usage": map[string]interface{}{
+			"prompt_tokens":     usageInfo.InputTokens,
+			"completion_tokens": usageInfo.OutputTokens,
+			"total_tokens":      usageInfo.InputTokens + usageInfo.OutputTokens,
+		},
+	}
+
+	result, _ := json.Marshal(chunk)
+	return result
+}
+
+// GenerateToolCallID generates a unique tool call ID in OpenAI format
+func GenerateToolCallID(toolName string) string {
+	return fmt.Sprintf("call_%s_%d_%d", toolName[:min(8, len(toolName))], time.Now().UnixNano(), atomic.AddUint64(&functionCallIDCounter, 1))
+}
+
+// min returns the minimum of two integers
+func min(a, b int) int {
+	if a < b {
+		return a
+	}
+	return b
+}

internal/translator/kiro/openai/kiro_openai_stream.go

@@ -0,0 +1,212 @@
+// Package openai provides streaming SSE event building for OpenAI format.
+// This package handles the construction of OpenAI-compatible Server-Sent Events (SSE)
+// for streaming responses from Kiro API.
+package openai
+
+import (
+	"encoding/json"
+	"time"
+
+	"github.com/google/uuid"
+	"github.com/router-for-me/CLIProxyAPI/v6/sdk/cliproxy/usage"
+)
+
+// OpenAIStreamState tracks the state of streaming response conversion
+type OpenAIStreamState struct {
+	ChunkIndex        int
+	ToolCallIndex     int
+	HasSentFirstChunk bool
+	Model             string
+	ResponseID        string
+	Created           int64
+}
+
+// NewOpenAIStreamState creates a new stream state for tracking
+func NewOpenAIStreamState(model string) *OpenAIStreamState {
+	return &OpenAIStreamState{
+		ChunkIndex:        0,
+		ToolCallIndex:     0,
+		HasSentFirstChunk: false,
+		Model:             model,
+		ResponseID:        "chatcmpl-" + uuid.New().String()[:24],
+		Created:           time.Now().Unix(),
+	}
+}
+
+// FormatSSEEvent formats a JSON payload for SSE streaming.
+// Note: This returns raw JSON data without "data:" prefix.
+// The SSE "data:" prefix is added by the Handler layer (e.g., openai_handlers.go)
+// to maintain architectural consistency and avoid double-prefix issues.
+func FormatSSEEvent(data []byte) string {
+	return string(data)
+}
+
+// BuildOpenAISSETextDelta creates an SSE event for text content delta
+func BuildOpenAISSETextDelta(state *OpenAIStreamState, textDelta string) string {
+	delta := map[string]interface{}{
+		"content": textDelta,
+	}
+
+	// Include role in first chunk
+	if !state.HasSentFirstChunk {
+		delta["role"] = "assistant"
+		state.HasSentFirstChunk = true
+	}
+
+	chunk := buildBaseChunk(state, delta, nil)
+	result, _ := json.Marshal(chunk)
+	state.ChunkIndex++
+	return FormatSSEEvent(result)
+}
+
+// BuildOpenAISSEToolCallStart creates an SSE event for tool call start
+func BuildOpenAISSEToolCallStart(state *OpenAIStreamState, toolUseID, toolName string) string {
+	toolCall := map[string]interface{}{
+		"index": state.ToolCallIndex,
+		"id":    toolUseID,
+		"type":  "function",
+		"function": map[string]interface{}{
+			"name":      toolName,
+			"arguments": "",
+		},
+	}
+
+	delta := map[string]interface{}{
+		"tool_calls": []map[string]interface{}{toolCall},
+	}
+
+	// Include role in first chunk if not sent yet
+	if !state.HasSentFirstChunk {
+		delta["role"] = "assistant"
+		state.HasSentFirstChunk = true
+	}
+
+	chunk := buildBaseChunk(state, delta, nil)
+	result, _ := json.Marshal(chunk)
+	state.ChunkIndex++
+	return FormatSSEEvent(result)
+}
+
+// BuildOpenAISSEToolCallArgumentsDelta creates an SSE event for tool call arguments delta
+func BuildOpenAISSEToolCallArgumentsDelta(state *OpenAIStreamState, argumentsDelta string, toolIndex int) string {
+	toolCall := map[string]interface{}{
+		"index": toolIndex,
+		"function": map[string]interface{}{
+			"arguments": argumentsDelta,
+		},
+	}
+
+	delta := map[string]interface{}{
+		"tool_calls": []map[string]interface{}{toolCall},
+	}
+
+	chunk := buildBaseChunk(state, delta, nil)
+	result, _ := json.Marshal(chunk)
+	state.ChunkIndex++
+	return FormatSSEEvent(result)
+}
+
+// BuildOpenAISSEFinish creates an SSE event with finish_reason
+func BuildOpenAISSEFinish(state *OpenAIStreamState, finishReason string) string {
+	chunk := buildBaseChunk(state, map[string]interface{}{}, &finishReason)
+	result, _ := json.Marshal(chunk)
+	state.ChunkIndex++
+	return FormatSSEEvent(result)
+}
+
+// BuildOpenAISSEUsage creates an SSE event with usage information
+func BuildOpenAISSEUsage(state *OpenAIStreamState, usageInfo usage.Detail) string {
+	chunk := map[string]interface{}{
+		"id":      state.ResponseID,
+		"object":  "chat.completion.chunk",
+		"created": state.Created,
+		"model":   state.Model,
+		"choices": []map[string]interface{}{},
+		"usage": map[string]interface{}{
+			"prompt_tokens":     usageInfo.InputTokens,
+			"completion_tokens": usageInfo.OutputTokens,
+			"total_tokens":      usageInfo.InputTokens + usageInfo.OutputTokens,
+		},
+	}
+	result, _ := json.Marshal(chunk)
+	return FormatSSEEvent(result)
+}
+
+// BuildOpenAISSEDone creates the final [DONE] SSE event.
+// Note: This returns raw "[DONE]" without "data:" prefix.
+// The SSE "data:" prefix is added by the Handler layer (e.g., openai_handlers.go)
+// to maintain architectural consistency and avoid double-prefix issues.
+func BuildOpenAISSEDone() string {
+	return "[DONE]"
+}
+
+// buildBaseChunk creates a base chunk structure for streaming
+func buildBaseChunk(state *OpenAIStreamState, delta map[string]interface{}, finishReason *string) map[string]interface{} {
+	choice := map[string]interface{}{
+		"index": 0,
+		"delta": delta,
+	}
+
+	if finishReason != nil {
+		choice["finish_reason"] = *finishReason
+	} else {
+		choice["finish_reason"] = nil
+	}
+
+	return map[string]interface{}{
+		"id":      state.ResponseID,
+		"object":  "chat.completion.chunk",
+		"created": state.Created,
+		"model":   state.Model,
+		"choices": []map[string]interface{}{choice},
+	}
+}
+
+// BuildOpenAISSEReasoningDelta creates an SSE event for reasoning content delta
+// This is used for o1/o3 style models that expose reasoning tokens
+func BuildOpenAISSEReasoningDelta(state *OpenAIStreamState, reasoningDelta string) string {
+	delta := map[string]interface{}{
+		"reasoning_content": reasoningDelta,
+	}
+
+	// Include role in first chunk
+	if !state.HasSentFirstChunk {
+		delta["role"] = "assistant"
+		state.HasSentFirstChunk = true
+	}
+
+	chunk := buildBaseChunk(state, delta, nil)
+	result, _ := json.Marshal(chunk)
+	state.ChunkIndex++
+	return FormatSSEEvent(result)
+}
+
+// BuildOpenAISSEFirstChunk creates the first chunk with role only
+func BuildOpenAISSEFirstChunk(state *OpenAIStreamState) string {
+	delta := map[string]interface{}{
+		"role":    "assistant",
+		"content": "",
+	}
+
+	state.HasSentFirstChunk = true
+	chunk := buildBaseChunk(state, delta, nil)
+	result, _ := json.Marshal(chunk)
+	state.ChunkIndex++
+	return FormatSSEEvent(result)
+}
+
+// ThinkingTagState tracks state for thinking tag detection in streaming
+type ThinkingTagState struct {
+	InThinkingBlock   bool
+	PendingStartChars int
+	PendingEndChars   int
+}
+
+// NewThinkingTagState creates a new thinking tag state
+func NewThinkingTagState() *ThinkingTagState {
+	return &ThinkingTagState{
+		InThinkingBlock:   false,
+		PendingStartChars: 0,
+		PendingEndChars:   0,
+	}
+}