indexx.dev
A simple Bluesky bot to make sense of the noise, with responses powered by Gemini, similar to Grok.
feat: model overload error
+5
-2
docker-compose.yml
+5
-2
docker-compose.yml
···
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6
environment:
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- "AUTHORIZED_USERS=${AUTHORIZED_USERS}"
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- "SERVICE=${SERVICE:?https://bsky.social}"
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- "DB_PATH=sqlite.db"
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- DB_PATH=/data/sqlite.db
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- "GEMINI_MODEL=${GEMINI_MODEL:-gemini-2.5-flash}"
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- "DID=${DID:?}"
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- "HANDLE=${HANDLE:?}"
···
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- "GEMINI_API_KEY=${GEMINI_API_KEY:?}"
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- "USE_JETSTREAM=${USE_JETSTREAM:-false}"
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volumes:
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- aero_db:/sqlite.db
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- "aero_db:/data"
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+
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volumes:
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+
aero_db:
+3
src/core.ts
+3
src/core.ts
···
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export const QUOTA_EXCEEDED_MESSAGE =
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"You have exceeded your daily message quota (15). Please wait 24 hours before trying again.";
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+
export const ERROR_MESSAGE =
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"Sorry, I ran into an issue analyzing that post. Please try again.";
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+
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export const UNAUTHORIZED_MESSAGE =
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"I can’t make sense of your noise just yet. You’ll need to be whitelisted before I can help.";
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+8
-3
src/handlers/messages.ts
+8
-3
src/handlers/messages.ts
···
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});
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}
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}
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-
} catch (error) {
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+
} catch (error: any) {
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logger.error("Error in post handler:", error);
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+
let errorMsg = c.ERROR_MESSAGE;
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+
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+
if (error.error.code == 503) {
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errorMsg =
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"Sorry, the AI model is currently overloaded. Please try again later.";
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+
}
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await conversation.sendMessage({
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-
text:
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"Sorry, I ran into an issue analyzing that post. Please try again.",
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+
text: errorMsg,
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});
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}
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}
+2
-3
src/utils/conversation.ts
+2
-3
src/utils/conversation.ts
···
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8
import { conversations, messages } from "../db/schema";
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import { and, eq } from "drizzle-orm";
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import { env } from "../env";
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import { bot, MAX_GRAPHEMES } from "../core";
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+
import { bot, ERROR_MESSAGE, MAX_GRAPHEMES } from "../core";
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import { parsePost, parsePostImages, traverseThread } from "./post";
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/*
···
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};
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} catch (e) {
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convo.sendMessage({
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text:
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"Sorry, I ran into an issue analyzing that post. Please try again.",
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+
text: ERROR_MESSAGE,
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});
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throw new Error("Failed to parse conversation");
+3
-3
src/utils/post.ts
+3
-3
src/utils/post.ts
···
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) return undefined;
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const record = (post.embed as RecordEmbed || RecordWithMediaEmbed).record;
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console.log("embed: ", post.embed);
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console.log("record: ", record);
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const embedPost = await c.bot.getPost(record.uri);
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return await parsePost(embedPost, false);
···
63
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}
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}
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-
return images.map((image, idx) => parseImage(image, idx + 1));
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+
return images.map((image, idx) => parseImage(image, idx + 1)).filter((img) =>
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+
img.alt.length > 0
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+
);
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}
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function parseImage(image: EmbedImage, index: number) {