Roo-Code/src/api/transform/gemini-format.ts
2025-05-12 14:16:27 -07:00

78 lines
2.3 KiB
TypeScript

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