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98 lines
3.4 KiB
TypeScript
98 lines
3.4 KiB
TypeScript
/**
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* `IMAGE_DESCRIPTION` handler: sends an image URL to the configured small model
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* and parses the `Title:` / `Description:` response into an
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* `ImageDescriptionResult`. Uses the shared client factory, retry wrapper, and
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* usage-event emitter; the small-model default comes from `getSmallModel`.
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*/
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import type { IAgentRuntime, ImageDescriptionParams, ImageDescriptionResult } from "@elizaos/core";
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import { logger, ModelType } from "@elizaos/core";
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import { generateText } from "ai";
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import { createAnthropicClientWithTopPSupport } from "../providers/anthropic";
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import { getSmallModel } from "../utils/config";
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import { emitModelUsageEvent } from "../utils/events";
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import { executeWithRetry, formatModelError, sanitizeUrlForLogs } from "../utils/retry";
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const DEFAULT_IMAGE_DESCRIPTION_PROMPT =
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"Analyze this image and respond with:\nTitle: <short title>\nDescription: <detailed description>";
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function parseTitle(content: string): string {
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const titleMatch = content.match(/title[:\s]+(.+?)(?:\n|$)/i);
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if (titleMatch?.[1]) {
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return titleMatch[1].trim();
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}
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const firstLine = content
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.split("\n")
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.map((line) => line.trim())
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.find((line) => line.length > 0);
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return firstLine ? firstLine.slice(0, 100) : "Image Analysis";
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}
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function parseDescription(content: string): string {
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const withoutTitle = content.replace(/title[:\s]+(.+?)(?:\n|$)/i, "").trim();
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const withoutDescriptionLabel = withoutTitle.replace(/^description[:\s]+/i, "").trim();
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return withoutDescriptionLabel.length > 0 ? withoutDescriptionLabel : content.trim();
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}
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export async function handleImageDescription(
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runtime: IAgentRuntime,
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params: ImageDescriptionParams | string
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): Promise<ImageDescriptionResult> {
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const anthropic = createAnthropicClientWithTopPSupport(runtime);
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const modelName = getSmallModel(runtime);
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const imageUrl = typeof params === "string" ? params : params.imageUrl;
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const promptText =
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typeof params === "string"
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? DEFAULT_IMAGE_DESCRIPTION_PROMPT
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: (params.prompt ?? DEFAULT_IMAGE_DESCRIPTION_PROMPT);
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const operationName = `${ModelType.IMAGE_DESCRIPTION} request using ${modelName}`;
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if (!imageUrl || imageUrl.trim().length === 0) {
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throw new Error("[Anthropic] IMAGE_DESCRIPTION requires a valid image URL.");
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}
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logger.log(`[Anthropic] Using ${ModelType.IMAGE_DESCRIPTION} model: ${modelName}`);
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try {
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const response = await executeWithRetry(operationName, () =>
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generateText({
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model: anthropic(modelName),
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messages: [
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{
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role: "user" as const,
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content: [
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{ type: "text" as const, text: promptText },
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{ type: "image" as const, image: imageUrl },
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],
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},
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],
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maxOutputTokens: 1_024,
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})
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);
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if (response.usage) {
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emitModelUsageEvent(
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runtime,
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ModelType.IMAGE_DESCRIPTION,
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promptText,
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response.usage,
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modelName
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);
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}
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return {
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title: parseTitle(response.text),
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description: parseDescription(response.text),
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};
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} catch (error) {
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// error-policy:J2 context-adding rethrow — formatModelError wraps the
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// provider error with `cause`; never fabricate a { title, description }.
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logger.error(
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`[Anthropic] IMAGE_DESCRIPTION failed for ${modelName} ` +
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`(${sanitizeUrlForLogs(imageUrl)}): ${error instanceof Error ? error.message : String(error)}`
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);
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throw formatModelError(operationName, error);
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}
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}
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