···3233Before continuing, you must:
3435-1. Create a project on [Letta Cloud](https://app.letta.com) (or your own Letta instance)
362. Have a Bluesky account
373. Have Python 3.8+ installed
38···4041#### 1. Letta Setup
4243-- Sign up for [Letta Cloud](https://app.letta.com)
44- Create a new project
45- Note your Project ID and create an API key
46
···3233Before continuing, you must:
3435+1. Create a project on [Letta Cloud](https://cloud.letta.com) (or your own Letta instance)
362. Have a Bluesky account
373. Have Python 3.8+ installed
38···4041#### 1. Letta Setup
4243+- Sign up for [Letta Cloud](https://cloud.letta.com)
44- Create a new project
45- Note your Project ID and create an API key
46
+1-1
bsky.py
···371 logger.info(f"Mention from @{author_handle}: {mention_text}")
372373 # Log prompt details to separate logger
374- logger.debug(f"Full prompt being sent:\n{prompt}")
375376 # Log concise prompt info to main logger
377 thread_handles_count = len(unique_handles)
···371 logger.info(f"Mention from @{author_handle}: {mention_text}")
372373 # Log prompt details to separate logger
374+ prompt_logger.debug(f"Full prompt being sent:\n{prompt}")
375376 # Log concise prompt info to main logger
377 thread_handles_count = len(unique_handles)
-18
tools/dummy_reply.py
···1-"""Dummy reply tool for Bluesky responses."""
2-from typing import Optional
3-from pydantic import BaseModel, Field
4-5-6-class BlueskyReplyArgs(BaseModel):
7- message: str = Field(
8- ...,
9- description="The message to reply with (max 300 characters)"
10- )
11-12-13-def bluesky_reply(message: str) -> str:
14- """
15- Dummy function that just returns success. The actual reply is handled in the bsky.py process_mention function.
16- This exists only to make the agent think it has a bluesky_reply tool available.
17- """
18- return "Reply will be sent"