feat: parallelize hatchet (#804)

* parallelize hatchet (no-mistakes)

* dry (no-mistakes) (minimal)

* comments

* self-review

* self-review

* self-review

* self-review

* pr comments

* pr comments

---------

Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>

server/reflector/processors/prompts.py

@@ -0,0 +1,30 @@
+"""
+LLM prompts for transcript processing.
+
+Extracted to a separate module to avoid circular imports when importing
+from processor modules (which import LLM/settings at module level).
+"""
+
+from textwrap import dedent
+
+TOPIC_PROMPT = dedent(
+    """
+    Analyze the following transcript segment and extract the main topic being discussed.
+    Focus on the substantive content and ignore small talk or administrative chatter.
+
+    Create a title that:
+    - Captures the specific subject matter being discussed
+    - Is descriptive and self-explanatory
+    - Uses professional language
+    - Is specific rather than generic
+
+    For the summary:
+    - Summarize the key points in maximum two sentences
+    - Focus on what was discussed, decided, or accomplished
+    - Be concise but informative
+
+    <transcript>
+    {text}
+    </transcript>
+    """
+).strip()