feat: Add analyze module for LLM integration

This commit introduces the `analyze` module, which orchestrates
communication with Large Language Models (LLMs) for text summarization
and analysis.

Key components include:
- `llm.rs`: Contains the `LlmError` enum and the `chat_once` function
  for interacting with OpenAI-compatible LLM APIs.
- `prompt.rs`: Defines the system prompt and logic for rendering user
  content from analysis inputs.
- `recovery.rs`: Implements logic to scan for and re-enqueue pending
  analysis jobs upon server startup.
- `worker.rs`: The core worker that consumes analysis jobs, processes
  them with the LLM, and writes the output.
- `mod.rs`: Defines `AnalyzeJob` and associated channel types for
  inter-component communication.

This module enables the server to process dictated recordings, summarize
them using an LLM, and store the results.

server/src/lib.rs

@@ -1,3 +1,4 @@
+pub mod analyze;
 pub mod auth;
 pub mod config;
 pub mod error;