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78 lines
2.3 KiB
TypeScript
78 lines
2.3 KiB
TypeScript
import { Anthropic } from "@anthropic-ai/sdk"
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import { Content, Part } from "@google/genai"
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export function convertAnthropicContentToGemini(content: string | Anthropic.ContentBlockParam[]): Part[] {
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if (typeof content === "string") {
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return [{ text: content }]
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}
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return content.flatMap((block): Part | Part[] => {
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switch (block.type) {
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case "text":
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return { text: block.text }
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case "image":
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if (block.source.type !== "base64") {
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throw new Error("Unsupported image source type")
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}
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return { inlineData: { data: block.source.data, mimeType: block.source.media_type } }
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case "tool_use":
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return {
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functionCall: {
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name: block.name,
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args: block.input as Record<string, unknown>,
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},
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}
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case "tool_result": {
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if (!block.content) {
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return []
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}
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// Extract tool name from tool_use_id (e.g., "calculator-123" -> "calculator")
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const toolName = block.tool_use_id.split("-")[0]
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if (typeof block.content === "string") {
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return {
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functionResponse: { name: toolName, response: { name: toolName, content: block.content } },
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}
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}
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if (!Array.isArray(block.content)) {
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return []
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}
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const textParts: string[] = []
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const imageParts: Part[] = []
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for (const item of block.content) {
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if (item.type === "text") {
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textParts.push(item.text)
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} else if (item.type === "image" && item.source.type === "base64") {
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const { data, media_type } = item.source
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imageParts.push({ inlineData: { data, mimeType: media_type } })
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}
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}
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// Create content text with a note about images if present
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const contentText =
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textParts.join("\n\n") + (imageParts.length > 0 ? "\n\n(See next part for image)" : "")
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// Return function response followed by any images
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return [
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{ functionResponse: { name: toolName, response: { name: toolName, content: contentText } } },
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...imageParts,
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]
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}
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default:
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// Currently unsupported: "thinking" | "redacted_thinking" | "document"
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throw new Error(`Unsupported content block type: ${block.type}`)
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}
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})
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}
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export function convertAnthropicMessageToGemini(message: Anthropic.Messages.MessageParam): Content {
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return {
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role: message.role === "assistant" ? "model" : "user",
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parts: convertAnthropicContentToGemini(message.content),
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}
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}
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