feat: backend core - auth, user, role, permission, device, webhook, monitoring, cache, repository, service, middleware, API handlers

2026-04-02 11:19:50 +08:00
parent e59a77bc49
commit dcc1f186f8
298 changed files with 62603 additions and 0 deletions
--- a/internal/pkg/apicompat/responses_to_anthropic_request.go
+++ b/internal/pkg/apicompat/responses_to_anthropic_request.go
@@ -0,0 +1,464 @@
+package apicompat
+
+import (
+	"encoding/json"
+	"fmt"
+	"strings"
+)
+
+// ResponsesToAnthropicRequest converts a Responses API request into an
+// Anthropic Messages request. This is the reverse of AnthropicToResponses and
+// enables Anthropic platform groups to accept OpenAI Responses API requests
+// by converting them to the native /v1/messages format before forwarding upstream.
+func ResponsesToAnthropicRequest(req *ResponsesRequest) (*AnthropicRequest, error) {
+	system, messages, err := convertResponsesInputToAnthropic(req.Input)
+	if err != nil {
+		return nil, err
+	}
+
+	out := &AnthropicRequest{
+		Model:       req.Model,
+		Messages:    messages,
+		Temperature: req.Temperature,
+		TopP:        req.TopP,
+		Stream:      req.Stream,
+	}
+
+	if len(system) > 0 {
+		out.System = system
+	}
+
+	// max_output_tokens → max_tokens
+	if req.MaxOutputTokens != nil && *req.MaxOutputTokens > 0 {
+		out.MaxTokens = *req.MaxOutputTokens
+	}
+	if out.MaxTokens == 0 {
+		// Anthropic requires max_tokens; default to a sensible value.
+		out.MaxTokens = 8192
+	}
+
+	// Convert tools
+	if len(req.Tools) > 0 {
+		out.Tools = convertResponsesToAnthropicTools(req.Tools)
+	}
+
+	// Convert tool_choice (reverse of convertAnthropicToolChoiceToResponses)
+	if len(req.ToolChoice) > 0 {
+		tc, err := convertResponsesToAnthropicToolChoice(req.ToolChoice)
+		if err != nil {
+			return nil, fmt.Errorf("convert tool_choice: %w", err)
+		}
+		out.ToolChoice = tc
+	}
+
+	// reasoning.effort → output_config.effort + thinking
+	if req.Reasoning != nil && req.Reasoning.Effort != "" {
+		effort := mapResponsesEffortToAnthropic(req.Reasoning.Effort)
+		out.OutputConfig = &AnthropicOutputConfig{Effort: effort}
+		// Enable thinking for non-low efforts
+		if effort != "low" {
+			out.Thinking = &AnthropicThinking{
+				Type:         "enabled",
+				BudgetTokens: defaultThinkingBudget(effort),
+			}
+		}
+	}
+
+	return out, nil
+}
+
+// defaultThinkingBudget returns a sensible thinking budget based on effort level.
+func defaultThinkingBudget(effort string) int {
+	switch effort {
+	case "low":
+		return 1024
+	case "medium":
+		return 4096
+	case "high":
+		return 10240
+	case "max":
+		return 32768
+	default:
+		return 10240
+	}
+}
+
+// mapResponsesEffortToAnthropic converts OpenAI Responses reasoning effort to
+// Anthropic effort levels. Reverse of mapAnthropicEffortToResponses.
+//
+//	low    → low
+//	medium → medium
+//	high   → high
+//	xhigh  → max
+func mapResponsesEffortToAnthropic(effort string) string {
+	if effort == "xhigh" {
+		return "max"
+	}
+	return effort // low→low, medium→medium, high→high, unknown→passthrough
+}
+
+// convertResponsesInputToAnthropic extracts system prompt and messages from
+// a Responses API input array. Returns the system as raw JSON (for Anthropic's
+// polymorphic system field) and a list of Anthropic messages.
+func convertResponsesInputToAnthropic(inputRaw json.RawMessage) (json.RawMessage, []AnthropicMessage, error) {
+	// Try as plain string input.
+	var inputStr string
+	if err := json.Unmarshal(inputRaw, &inputStr); err == nil {
+		content, _ := json.Marshal(inputStr)
+		return nil, []AnthropicMessage{{Role: "user", Content: content}}, nil
+	}
+
+	var items []ResponsesInputItem
+	if err := json.Unmarshal(inputRaw, &items); err != nil {
+		return nil, nil, fmt.Errorf("parse responses input: %w", err)
+	}
+
+	var system json.RawMessage
+	var messages []AnthropicMessage
+
+	for _, item := range items {
+		switch {
+		case item.Role == "system":
+			// System prompt → Anthropic system field
+			text := extractTextFromContent(item.Content)
+			if text != "" {
+				system, _ = json.Marshal(text)
+			}
+
+		case item.Type == "function_call":
+			// function_call → assistant message with tool_use block
+			input := json.RawMessage("{}")
+			if item.Arguments != "" {
+				input = json.RawMessage(item.Arguments)
+			}
+			block := AnthropicContentBlock{
+				Type:  "tool_use",
+				ID:    fromResponsesCallIDToAnthropic(item.CallID),
+				Name:  item.Name,
+				Input: input,
+			}
+			blockJSON, _ := json.Marshal([]AnthropicContentBlock{block})
+			messages = append(messages, AnthropicMessage{
+				Role:    "assistant",
+				Content: blockJSON,
+			})
+
+		case item.Type == "function_call_output":
+			// function_call_output → user message with tool_result block
+			outputContent := item.Output
+			if outputContent == "" {
+				outputContent = "(empty)"
+			}
+			contentJSON, _ := json.Marshal(outputContent)
+			block := AnthropicContentBlock{
+				Type:      "tool_result",
+				ToolUseID: fromResponsesCallIDToAnthropic(item.CallID),
+				Content:   contentJSON,
+			}
+			blockJSON, _ := json.Marshal([]AnthropicContentBlock{block})
+			messages = append(messages, AnthropicMessage{
+				Role:    "user",
+				Content: blockJSON,
+			})
+
+		case item.Role == "user":
+			content, err := convertResponsesUserToAnthropicContent(item.Content)
+			if err != nil {
+				return nil, nil, err
+			}
+			messages = append(messages, AnthropicMessage{
+				Role:    "user",
+				Content: content,
+			})
+
+		case item.Role == "assistant":
+			content, err := convertResponsesAssistantToAnthropicContent(item.Content)
+			if err != nil {
+				return nil, nil, err
+			}
+			messages = append(messages, AnthropicMessage{
+				Role:    "assistant",
+				Content: content,
+			})
+
+		default:
+			// Unknown role/type — attempt as user message
+			if item.Content != nil {
+				messages = append(messages, AnthropicMessage{
+					Role:    "user",
+					Content: item.Content,
+				})
+			}
+		}
+	}
+
+	// Merge consecutive same-role messages (Anthropic requires alternating roles)
+	messages = mergeConsecutiveMessages(messages)
+
+	return system, messages, nil
+}
+
+// extractTextFromContent extracts text from a content field that may be a
+// plain string or an array of content parts.
+func extractTextFromContent(raw json.RawMessage) string {
+	if len(raw) == 0 {
+		return ""
+	}
+	var s string
+	if err := json.Unmarshal(raw, &s); err == nil {
+		return s
+	}
+	var parts []ResponsesContentPart
+	if err := json.Unmarshal(raw, &parts); err == nil {
+		var texts []string
+		for _, p := range parts {
+			if (p.Type == "input_text" || p.Type == "output_text" || p.Type == "text") && p.Text != "" {
+				texts = append(texts, p.Text)
+			}
+		}
+		return strings.Join(texts, "\n\n")
+	}
+	return ""
+}
+
+// convertResponsesUserToAnthropicContent converts a Responses user message
+// content field into Anthropic content blocks JSON.
+func convertResponsesUserToAnthropicContent(raw json.RawMessage) (json.RawMessage, error) {
+	if len(raw) == 0 {
+		return json.Marshal("") // empty string content
+	}
+
+	// Try plain string.
+	var s string
+	if err := json.Unmarshal(raw, &s); err == nil {
+		return json.Marshal(s)
+	}
+
+	// Array of content parts → Anthropic content blocks.
+	var parts []ResponsesContentPart
+	if err := json.Unmarshal(raw, &parts); err != nil {
+		// Pass through as-is if we can't parse
+		return raw, nil
+	}
+
+	var blocks []AnthropicContentBlock
+	for _, p := range parts {
+		switch p.Type {
+		case "input_text", "text":
+			if p.Text != "" {
+				blocks = append(blocks, AnthropicContentBlock{
+					Type: "text",
+					Text: p.Text,
+				})
+			}
+		case "input_image":
+			src := dataURIToAnthropicImageSource(p.ImageURL)
+			if src != nil {
+				blocks = append(blocks, AnthropicContentBlock{
+					Type:   "image",
+					Source: src,
+				})
+			}
+		}
+	}
+
+	if len(blocks) == 0 {
+		return json.Marshal("")
+	}
+	return json.Marshal(blocks)
+}
+
+// convertResponsesAssistantToAnthropicContent converts a Responses assistant
+// message content field into Anthropic content blocks JSON.
+func convertResponsesAssistantToAnthropicContent(raw json.RawMessage) (json.RawMessage, error) {
+	if len(raw) == 0 {
+		return json.Marshal([]AnthropicContentBlock{{Type: "text", Text: ""}})
+	}
+
+	// Try plain string.
+	var s string
+	if err := json.Unmarshal(raw, &s); err == nil {
+		return json.Marshal([]AnthropicContentBlock{{Type: "text", Text: s}})
+	}
+
+	// Array of content parts → Anthropic content blocks.
+	var parts []ResponsesContentPart
+	if err := json.Unmarshal(raw, &parts); err != nil {
+		return raw, nil
+	}
+
+	var blocks []AnthropicContentBlock
+	for _, p := range parts {
+		switch p.Type {
+		case "output_text", "text":
+			if p.Text != "" {
+				blocks = append(blocks, AnthropicContentBlock{
+					Type: "text",
+					Text: p.Text,
+				})
+			}
+		}
+	}
+
+	if len(blocks) == 0 {
+		blocks = append(blocks, AnthropicContentBlock{Type: "text", Text: ""})
+	}
+	return json.Marshal(blocks)
+}
+
+// fromResponsesCallIDToAnthropic converts an OpenAI function call ID back to
+// Anthropic format. Reverses toResponsesCallID.
+func fromResponsesCallIDToAnthropic(id string) string {
+	// If it has our "fc_" prefix wrapping a known Anthropic prefix, strip it
+	if after, ok := strings.CutPrefix(id, "fc_"); ok {
+		if strings.HasPrefix(after, "toolu_") || strings.HasPrefix(after, "call_") {
+			return after
+		}
+	}
+	// Generate a synthetic Anthropic tool ID
+	if !strings.HasPrefix(id, "toolu_") && !strings.HasPrefix(id, "call_") {
+		return "toolu_" + id
+	}
+	return id
+}
+
+// dataURIToAnthropicImageSource parses a data URI into an AnthropicImageSource.
+func dataURIToAnthropicImageSource(dataURI string) *AnthropicImageSource {
+	if !strings.HasPrefix(dataURI, "data:") {
+		return nil
+	}
+	// Format: data:<media_type>;base64,<data>
+	rest := strings.TrimPrefix(dataURI, "data:")
+	semicolonIdx := strings.Index(rest, ";")
+	if semicolonIdx < 0 {
+		return nil
+	}
+	mediaType := rest[:semicolonIdx]
+	rest = rest[semicolonIdx+1:]
+	if !strings.HasPrefix(rest, "base64,") {
+		return nil
+	}
+	data := strings.TrimPrefix(rest, "base64,")
+	return &AnthropicImageSource{
+		Type:      "base64",
+		MediaType: mediaType,
+		Data:      data,
+	}
+}
+
+// mergeConsecutiveMessages merges consecutive messages with the same role
+// because Anthropic requires alternating user/assistant turns.
+func mergeConsecutiveMessages(messages []AnthropicMessage) []AnthropicMessage {
+	if len(messages) <= 1 {
+		return messages
+	}
+
+	var merged []AnthropicMessage
+	for _, msg := range messages {
+		if len(merged) == 0 || merged[len(merged)-1].Role != msg.Role {
+			merged = append(merged, msg)
+			continue
+		}
+
+		// Same role — merge content arrays
+		last := &merged[len(merged)-1]
+		lastBlocks := parseContentBlocks(last.Content)
+		newBlocks := parseContentBlocks(msg.Content)
+		combined := append(lastBlocks, newBlocks...)
+		last.Content, _ = json.Marshal(combined)
+	}
+	return merged
+}
+
+// parseContentBlocks attempts to parse content as []AnthropicContentBlock.
+// If it's a string, wraps it in a text block.
+func parseContentBlocks(raw json.RawMessage) []AnthropicContentBlock {
+	var blocks []AnthropicContentBlock
+	if err := json.Unmarshal(raw, &blocks); err == nil {
+		return blocks
+	}
+	var s string
+	if err := json.Unmarshal(raw, &s); err == nil {
+		return []AnthropicContentBlock{{Type: "text", Text: s}}
+	}
+	return nil
+}
+
+// convertResponsesToAnthropicTools maps Responses API tools to Anthropic format.
+// Reverse of convertAnthropicToolsToResponses.
+func convertResponsesToAnthropicTools(tools []ResponsesTool) []AnthropicTool {
+	var out []AnthropicTool
+	for _, t := range tools {
+		switch t.Type {
+		case "web_search":
+			out = append(out, AnthropicTool{
+				Type: "web_search_20250305",
+				Name: "web_search",
+			})
+		case "function":
+			out = append(out, AnthropicTool{
+				Name:        t.Name,
+				Description: t.Description,
+				InputSchema: normalizeAnthropicInputSchema(t.Parameters),
+			})
+		default:
+			// Pass through unknown tool types
+			out = append(out, AnthropicTool{
+				Type:        t.Type,
+				Name:        t.Name,
+				Description: t.Description,
+				InputSchema: t.Parameters,
+			})
+		}
+	}
+	return out
+}
+
+// normalizeAnthropicInputSchema ensures the input_schema has a "type" field.
+func normalizeAnthropicInputSchema(schema json.RawMessage) json.RawMessage {
+	if len(schema) == 0 || string(schema) == "null" {
+		return json.RawMessage(`{"type":"object","properties":{}}`)
+	}
+	return schema
+}
+
+// convertResponsesToAnthropicToolChoice maps Responses tool_choice to Anthropic format.
+// Reverse of convertAnthropicToolChoiceToResponses.
+//
+//	"auto"                                     → {"type":"auto"}
+//	"required"                                 → {"type":"any"}
+//	"none"                                     → {"type":"none"}
+//	{"type":"function","function":{"name":"X"}} → {"type":"tool","name":"X"}
+func convertResponsesToAnthropicToolChoice(raw json.RawMessage) (json.RawMessage, error) {
+	// Try as string first
+	var s string
+	if err := json.Unmarshal(raw, &s); err == nil {
+		switch s {
+		case "auto":
+			return json.Marshal(map[string]string{"type": "auto"})
+		case "required":
+			return json.Marshal(map[string]string{"type": "any"})
+		case "none":
+			return json.Marshal(map[string]string{"type": "none"})
+		default:
+			return raw, nil
+		}
+	}
+
+	// Try as object with type=function
+	var tc struct {
+		Type     string `json:"type"`
+		Function struct {
+			Name string `json:"name"`
+		} `json:"function"`
+	}
+	if err := json.Unmarshal(raw, &tc); err == nil && tc.Type == "function" && tc.Function.Name != "" {
+		return json.Marshal(map[string]string{
+			"type": "tool",
+			"name": tc.Function.Name,
+		})
+	}
+
+	// Pass through unknown
+	return raw, nil
+}