mirror of
https://github.com/githubhjs/CLIProxyAPIPlus.git
synced 2026-07-12 01:25:13 +00:00
603 lines
18 KiB
Go
603 lines
18 KiB
Go
// Package claude provides request translation functionality for Claude API to Kiro format.
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// It handles parsing and transforming Claude API requests into the Kiro/Amazon Q API format,
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// extracting model information, system instructions, message contents, and tool declarations.
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package claude
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import (
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"encoding/json"
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"fmt"
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"strings"
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"time"
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"unicode/utf8"
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"github.com/google/uuid"
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kirocommon "github.com/router-for-me/CLIProxyAPI/v6/internal/translator/kiro/common"
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log "github.com/sirupsen/logrus"
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"github.com/tidwall/gjson"
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)
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// Kiro API request structs - field order determines JSON key order
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// KiroPayload is the top-level request structure for Kiro API
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type KiroPayload struct {
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ConversationState KiroConversationState `json:"conversationState"`
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ProfileArn string `json:"profileArn,omitempty"`
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InferenceConfig *KiroInferenceConfig `json:"inferenceConfig,omitempty"`
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}
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// KiroInferenceConfig contains inference parameters for the Kiro API.
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type KiroInferenceConfig struct {
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MaxTokens int `json:"maxTokens,omitempty"`
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Temperature float64 `json:"temperature,omitempty"`
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}
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// KiroConversationState holds the conversation context
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type KiroConversationState struct {
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ChatTriggerType string `json:"chatTriggerType"` // Required: "MANUAL" - must be first field
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ConversationID string `json:"conversationId"`
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CurrentMessage KiroCurrentMessage `json:"currentMessage"`
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History []KiroHistoryMessage `json:"history,omitempty"`
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}
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// KiroCurrentMessage wraps the current user message
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type KiroCurrentMessage struct {
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UserInputMessage KiroUserInputMessage `json:"userInputMessage"`
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}
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// KiroHistoryMessage represents a message in the conversation history
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type KiroHistoryMessage struct {
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UserInputMessage *KiroUserInputMessage `json:"userInputMessage,omitempty"`
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AssistantResponseMessage *KiroAssistantResponseMessage `json:"assistantResponseMessage,omitempty"`
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}
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// KiroImage represents an image in Kiro API format
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type KiroImage struct {
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Format string `json:"format"`
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Source KiroImageSource `json:"source"`
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}
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// KiroImageSource contains the image data
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type KiroImageSource struct {
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Bytes string `json:"bytes"` // base64 encoded image data
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}
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// KiroUserInputMessage represents a user message
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type KiroUserInputMessage struct {
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Content string `json:"content"`
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ModelID string `json:"modelId"`
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Origin string `json:"origin"`
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Images []KiroImage `json:"images,omitempty"`
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UserInputMessageContext *KiroUserInputMessageContext `json:"userInputMessageContext,omitempty"`
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}
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// KiroUserInputMessageContext contains tool-related context
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type KiroUserInputMessageContext struct {
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ToolResults []KiroToolResult `json:"toolResults,omitempty"`
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Tools []KiroToolWrapper `json:"tools,omitempty"`
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}
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// KiroToolResult represents a tool execution result
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type KiroToolResult struct {
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Content []KiroTextContent `json:"content"`
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Status string `json:"status"`
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ToolUseID string `json:"toolUseId"`
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}
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// KiroTextContent represents text content
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type KiroTextContent struct {
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Text string `json:"text"`
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}
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// KiroToolWrapper wraps a tool specification
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type KiroToolWrapper struct {
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ToolSpecification KiroToolSpecification `json:"toolSpecification"`
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}
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// KiroToolSpecification defines a tool's schema
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type KiroToolSpecification struct {
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Name string `json:"name"`
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Description string `json:"description"`
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InputSchema KiroInputSchema `json:"inputSchema"`
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}
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// KiroInputSchema wraps the JSON schema for tool input
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type KiroInputSchema struct {
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JSON interface{} `json:"json"`
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}
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// KiroAssistantResponseMessage represents an assistant message
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type KiroAssistantResponseMessage struct {
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Content string `json:"content"`
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ToolUses []KiroToolUse `json:"toolUses,omitempty"`
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}
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// KiroToolUse represents a tool invocation by the assistant
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type KiroToolUse struct {
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ToolUseID string `json:"toolUseId"`
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Name string `json:"name"`
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Input map[string]interface{} `json:"input"`
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}
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// ConvertClaudeRequestToKiro converts a Claude API request to Kiro format.
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// This is the main entry point for request translation.
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func ConvertClaudeRequestToKiro(modelName string, inputRawJSON []byte, stream bool) []byte {
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// For Kiro, we pass through the Claude format since buildKiroPayload
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// expects Claude format and does the conversion internally.
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// The actual conversion happens in the executor when building the HTTP request.
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return inputRawJSON
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}
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// BuildKiroPayload constructs the Kiro API request payload from Claude format.
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// Supports tool calling - tools are passed via userInputMessageContext.
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// origin parameter determines which quota to use: "CLI" for Amazon Q, "AI_EDITOR" for Kiro IDE.
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// isAgentic parameter enables chunked write optimization prompt for -agentic model variants.
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// isChatOnly parameter disables tool calling for -chat model variants (pure conversation mode).
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// Supports thinking mode - when Claude API thinking parameter is present, injects thinkingHint.
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func BuildKiroPayload(claudeBody []byte, modelID, profileArn, origin string, isAgentic, isChatOnly bool) []byte {
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// Extract max_tokens for potential use in inferenceConfig
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var maxTokens int64
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if mt := gjson.GetBytes(claudeBody, "max_tokens"); mt.Exists() {
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maxTokens = mt.Int()
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}
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// Extract temperature if specified
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var temperature float64
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var hasTemperature bool
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if temp := gjson.GetBytes(claudeBody, "temperature"); temp.Exists() {
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temperature = temp.Float()
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hasTemperature = true
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}
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// Normalize origin value for Kiro API compatibility
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origin = normalizeOrigin(origin)
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log.Debugf("kiro: normalized origin value: %s", origin)
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messages := gjson.GetBytes(claudeBody, "messages")
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// For chat-only mode, don't include tools
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var tools gjson.Result
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if !isChatOnly {
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tools = gjson.GetBytes(claudeBody, "tools")
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}
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// Extract system prompt
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systemPrompt := extractSystemPrompt(claudeBody)
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// Check for thinking mode
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thinkingEnabled, budgetTokens := checkThinkingMode(claudeBody)
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// Inject timestamp context
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timestamp := time.Now().Format("2006-01-02 15:04:05 MST")
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timestampContext := fmt.Sprintf("[Context: Current time is %s]", timestamp)
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if systemPrompt != "" {
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systemPrompt = timestampContext + "\n\n" + systemPrompt
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} else {
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systemPrompt = timestampContext
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}
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log.Debugf("kiro: injected timestamp context: %s", timestamp)
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// Inject agentic optimization prompt for -agentic model variants
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if isAgentic {
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if systemPrompt != "" {
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systemPrompt += "\n"
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}
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systemPrompt += kirocommon.KiroAgenticSystemPrompt
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}
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// Inject thinking hint when thinking mode is enabled
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if thinkingEnabled {
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if systemPrompt != "" {
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systemPrompt += "\n"
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}
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dynamicThinkingHint := fmt.Sprintf("<thinking_mode>interleaved</thinking_mode><max_thinking_length>%d</max_thinking_length>", budgetTokens)
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systemPrompt += dynamicThinkingHint
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log.Debugf("kiro: injected dynamic thinking hint into system prompt, max_thinking_length: %d", budgetTokens)
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}
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// Convert Claude tools to Kiro format
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kiroTools := convertClaudeToolsToKiro(tools)
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// Process messages and build history
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history, currentUserMsg, currentToolResults := processMessages(messages, modelID, origin)
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// Build content with system prompt
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if currentUserMsg != nil {
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currentUserMsg.Content = buildFinalContent(currentUserMsg.Content, systemPrompt, currentToolResults)
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// Deduplicate currentToolResults
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currentToolResults = deduplicateToolResults(currentToolResults)
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// Build userInputMessageContext with tools and tool results
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if len(kiroTools) > 0 || len(currentToolResults) > 0 {
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currentUserMsg.UserInputMessageContext = &KiroUserInputMessageContext{
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Tools: kiroTools,
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ToolResults: currentToolResults,
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}
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}
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}
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// Build payload
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var currentMessage KiroCurrentMessage
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if currentUserMsg != nil {
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currentMessage = KiroCurrentMessage{UserInputMessage: *currentUserMsg}
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} else {
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fallbackContent := ""
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if systemPrompt != "" {
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fallbackContent = "--- SYSTEM PROMPT ---\n" + systemPrompt + "\n--- END SYSTEM PROMPT ---\n"
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}
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currentMessage = KiroCurrentMessage{UserInputMessage: KiroUserInputMessage{
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Content: fallbackContent,
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ModelID: modelID,
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Origin: origin,
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}}
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}
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// Build inferenceConfig if we have any inference parameters
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var inferenceConfig *KiroInferenceConfig
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if maxTokens > 0 || hasTemperature {
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inferenceConfig = &KiroInferenceConfig{}
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if maxTokens > 0 {
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inferenceConfig.MaxTokens = int(maxTokens)
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}
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if hasTemperature {
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inferenceConfig.Temperature = temperature
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}
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}
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payload := KiroPayload{
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ConversationState: KiroConversationState{
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ChatTriggerType: "MANUAL",
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ConversationID: uuid.New().String(),
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CurrentMessage: currentMessage,
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History: history,
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},
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ProfileArn: profileArn,
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InferenceConfig: inferenceConfig,
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}
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result, err := json.Marshal(payload)
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if err != nil {
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log.Debugf("kiro: failed to marshal payload: %v", err)
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return nil
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}
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return result
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}
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// normalizeOrigin normalizes origin value for Kiro API compatibility
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func normalizeOrigin(origin string) string {
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switch origin {
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case "KIRO_CLI":
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return "CLI"
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case "KIRO_AI_EDITOR":
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return "AI_EDITOR"
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case "AMAZON_Q":
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return "CLI"
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case "KIRO_IDE":
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return "AI_EDITOR"
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default:
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return origin
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}
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}
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// extractSystemPrompt extracts system prompt from Claude request
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func extractSystemPrompt(claudeBody []byte) string {
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systemField := gjson.GetBytes(claudeBody, "system")
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if systemField.IsArray() {
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var sb strings.Builder
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for _, block := range systemField.Array() {
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if block.Get("type").String() == "text" {
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sb.WriteString(block.Get("text").String())
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} else if block.Type == gjson.String {
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sb.WriteString(block.String())
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}
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}
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return sb.String()
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}
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return systemField.String()
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}
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// checkThinkingMode checks if thinking mode is enabled in the Claude request
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func checkThinkingMode(claudeBody []byte) (bool, int64) {
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thinkingEnabled := false
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var budgetTokens int64 = 16000
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thinkingField := gjson.GetBytes(claudeBody, "thinking")
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if thinkingField.Exists() {
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thinkingType := thinkingField.Get("type").String()
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if thinkingType == "enabled" {
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thinkingEnabled = true
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if bt := thinkingField.Get("budget_tokens"); bt.Exists() {
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budgetTokens = bt.Int()
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if budgetTokens <= 0 {
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thinkingEnabled = false
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log.Debugf("kiro: thinking mode disabled via budget_tokens <= 0")
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}
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}
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if thinkingEnabled {
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log.Debugf("kiro: thinking mode enabled via Claude API parameter, budget_tokens: %d", budgetTokens)
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}
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}
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}
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return thinkingEnabled, budgetTokens
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}
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// convertClaudeToolsToKiro converts Claude tools to Kiro format
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func convertClaudeToolsToKiro(tools gjson.Result) []KiroToolWrapper {
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var kiroTools []KiroToolWrapper
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if !tools.IsArray() {
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return kiroTools
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}
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for _, tool := range tools.Array() {
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name := tool.Get("name").String()
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description := tool.Get("description").String()
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inputSchema := tool.Get("input_schema").Value()
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// CRITICAL FIX: Kiro API requires non-empty description
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if strings.TrimSpace(description) == "" {
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description = fmt.Sprintf("Tool: %s", name)
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log.Debugf("kiro: tool '%s' has empty description, using default: %s", name, description)
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}
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// Truncate long descriptions
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if len(description) > kirocommon.KiroMaxToolDescLen {
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truncLen := kirocommon.KiroMaxToolDescLen - 30
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for truncLen > 0 && !utf8.RuneStart(description[truncLen]) {
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truncLen--
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}
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description = description[:truncLen] + "... (description truncated)"
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}
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kiroTools = append(kiroTools, KiroToolWrapper{
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ToolSpecification: KiroToolSpecification{
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Name: name,
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Description: description,
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InputSchema: KiroInputSchema{JSON: inputSchema},
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},
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})
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}
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return kiroTools
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}
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// processMessages processes Claude messages and builds Kiro history
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func processMessages(messages gjson.Result, modelID, origin string) ([]KiroHistoryMessage, *KiroUserInputMessage, []KiroToolResult) {
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var history []KiroHistoryMessage
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var currentUserMsg *KiroUserInputMessage
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var currentToolResults []KiroToolResult
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// Merge adjacent messages with the same role
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messagesArray := kirocommon.MergeAdjacentMessages(messages.Array())
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for i, msg := range messagesArray {
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role := msg.Get("role").String()
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isLastMessage := i == len(messagesArray)-1
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if role == "user" {
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userMsg, toolResults := BuildUserMessageStruct(msg, modelID, origin)
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if isLastMessage {
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currentUserMsg = &userMsg
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currentToolResults = toolResults
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} else {
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// CRITICAL: Kiro API requires content to be non-empty for history messages too
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if strings.TrimSpace(userMsg.Content) == "" {
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if len(toolResults) > 0 {
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userMsg.Content = "Tool results provided."
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} else {
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userMsg.Content = "Continue"
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}
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}
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// For history messages, embed tool results in context
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if len(toolResults) > 0 {
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userMsg.UserInputMessageContext = &KiroUserInputMessageContext{
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ToolResults: toolResults,
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}
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}
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history = append(history, KiroHistoryMessage{
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UserInputMessage: &userMsg,
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})
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}
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} else if role == "assistant" {
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assistantMsg := BuildAssistantMessageStruct(msg)
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if isLastMessage {
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history = append(history, KiroHistoryMessage{
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AssistantResponseMessage: &assistantMsg,
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})
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// Create a "Continue" user message as currentMessage
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currentUserMsg = &KiroUserInputMessage{
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Content: "Continue",
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ModelID: modelID,
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Origin: origin,
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}
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} else {
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history = append(history, KiroHistoryMessage{
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AssistantResponseMessage: &assistantMsg,
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})
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}
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}
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}
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return history, currentUserMsg, currentToolResults
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}
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// buildFinalContent builds the final content with system prompt
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func buildFinalContent(content, systemPrompt string, toolResults []KiroToolResult) string {
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var contentBuilder strings.Builder
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if systemPrompt != "" {
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contentBuilder.WriteString("--- SYSTEM PROMPT ---\n")
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contentBuilder.WriteString(systemPrompt)
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contentBuilder.WriteString("\n--- END SYSTEM PROMPT ---\n\n")
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}
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contentBuilder.WriteString(content)
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finalContent := contentBuilder.String()
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// CRITICAL: Kiro API requires content to be non-empty
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if strings.TrimSpace(finalContent) == "" {
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if len(toolResults) > 0 {
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finalContent = "Tool results provided."
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} else {
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finalContent = "Continue"
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}
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log.Debugf("kiro: content was empty, using default: %s", finalContent)
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}
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return finalContent
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}
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// deduplicateToolResults removes duplicate tool results
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func deduplicateToolResults(toolResults []KiroToolResult) []KiroToolResult {
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if len(toolResults) == 0 {
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return toolResults
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}
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seenIDs := make(map[string]bool)
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unique := make([]KiroToolResult, 0, len(toolResults))
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for _, tr := range toolResults {
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if !seenIDs[tr.ToolUseID] {
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seenIDs[tr.ToolUseID] = true
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unique = append(unique, tr)
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} else {
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log.Debugf("kiro: skipping duplicate toolResult in currentMessage: %s", tr.ToolUseID)
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}
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}
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return unique
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}
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// BuildUserMessageStruct builds a user message and extracts tool results
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func BuildUserMessageStruct(msg gjson.Result, modelID, origin string) (KiroUserInputMessage, []KiroToolResult) {
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content := msg.Get("content")
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var contentBuilder strings.Builder
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var toolResults []KiroToolResult
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var images []KiroImage
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// Track seen toolUseIds to deduplicate
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seenToolUseIDs := make(map[string]bool)
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if content.IsArray() {
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for _, part := range content.Array() {
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partType := part.Get("type").String()
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switch partType {
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case "text":
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contentBuilder.WriteString(part.Get("text").String())
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case "image":
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mediaType := part.Get("source.media_type").String()
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data := part.Get("source.data").String()
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format := ""
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if idx := strings.LastIndex(mediaType, "/"); idx != -1 {
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format = mediaType[idx+1:]
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}
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if format != "" && data != "" {
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images = append(images, KiroImage{
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Format: format,
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Source: KiroImageSource{
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Bytes: data,
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},
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})
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}
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case "tool_result":
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toolUseID := part.Get("tool_use_id").String()
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// Skip duplicate toolUseIds
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if seenToolUseIDs[toolUseID] {
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log.Debugf("kiro: skipping duplicate tool_result with toolUseId: %s", toolUseID)
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continue
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}
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seenToolUseIDs[toolUseID] = true
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isError := part.Get("is_error").Bool()
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resultContent := part.Get("content")
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var textContents []KiroTextContent
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if resultContent.IsArray() {
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for _, item := range resultContent.Array() {
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if item.Get("type").String() == "text" {
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textContents = append(textContents, KiroTextContent{Text: item.Get("text").String()})
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} else if item.Type == gjson.String {
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textContents = append(textContents, KiroTextContent{Text: item.String()})
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}
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}
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} else if resultContent.Type == gjson.String {
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textContents = append(textContents, KiroTextContent{Text: resultContent.String()})
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}
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|
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,
|
|
}
|
|
} |