Roo-Code/src/api/transform/gemini-format.ts
2025-02-24 21:08:08 -08:00

83 lines
2.4 KiB
TypeScript

import { Anthropic } from "@anthropic-ai/sdk"
import { Content, FunctionCallPart, FunctionResponsePart, InlineDataPart, Part, TextPart } from "@google/generative-ai"
function convertAnthropicContentToGemini(content: Anthropic.Messages.MessageParam["content"]): Part[] {
if (typeof content === "string") {
return [{ text: content } as TextPart]
}
return content.flatMap((block) => {
switch (block.type) {
case "text":
return { text: block.text } as TextPart
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,
},
} as InlineDataPart
case "tool_use":
return {
functionCall: {
name: block.name,
args: block.input,
},
} as FunctionCallPart
case "tool_result":
const name = block.tool_use_id.split("-")[0]
if (!block.content) {
return []
}
if (typeof block.content === "string") {
return {
functionResponse: {
name,
response: {
name,
content: block.content,
},
},
} as FunctionResponsePart
} else {
// The only case when tool_result could be array is when the tool failed and we're providing ie user feedback potentially with images
const textParts = block.content.filter((part) => part.type === "text")
const imageParts = block.content.filter((part) => part.type === "image")
const text = textParts.length > 0 ? textParts.map((part) => part.text).join("\n\n") : ""
const imageText = imageParts.length > 0 ? "\n\n(See next part for image)" : ""
return [
{
functionResponse: {
name,
response: {
name,
content: text + imageText,
},
},
} as FunctionResponsePart,
...imageParts.map(
(part) =>
({
inlineData: {
data: part.source.data,
mimeType: part.source.media_type,
},
}) as InlineDataPart,
),
]
}
default:
throw new Error(`Unsupported content block type: ${(block as any).type}`)
}
})
}
export function convertAnthropicMessageToGemini(message: Anthropic.Messages.MessageParam): Content {
return {
role: message.role === "assistant" ? "model" : "user",
parts: convertAnthropicContentToGemini(message.content),
}
}