chore: add pretty_json utility and sibling comment awareness to bot realism mechanics

devplacepy/services/bot/llm.py

@@ -275,6 +275,7 @@ class LLMClient:
         mention_target: str = "",
         parent_context: str = "",
         style: str = "",
+        existing_comments: str = "",
     ) -> str:
         extras = {
             "enthusiastic_junior": "Be excited. Use **bold** for agreement. Short replies.",
@@ -313,16 +314,29 @@ class LLMClient:
         ctx = ""
         if parent_context:
             ctx = f"\n\nReplying to this comment:\n{parent_context[:800]}"
+        others = ""
+        distinct_rule = ""
+        if existing_comments:
+            others = (
+                "\n\nComments already posted by others on this thread:\n"
+                f"{existing_comments[:1600]}"
+            )
+            distinct_rule = (
+                " Other people already commented (listed below). Contribute a point "
+                "none of them made: a different angle on the topic, a caveat they "
+                "missed, or respectful disagreement with one of them by name. Do not "
+                "repeat any opinion, framing, example, or question already raised."
+            )
         system = (
             f"You are a dev replying to a post. {length_rule}{mention_rule} "
             "No em dashes. Reference a specific detail from the post. "
             "Do not open with or rely on generic filler like 'great point', 'I agree', 'nice', "
             "'thanks for sharing', or 'interesting'. Add something real: a concrete experience, "
             "a caveat, a counterexample, respectful disagreement, or a pointed question. "
-            "Never just paraphrase or agree blandly."
+            f"Never just paraphrase or agree blandly.{distinct_rule}"
         )
         reply = self.clean(
-            self._call(system, f"Post:\n{post_snippet[:1500]}{ctx}").strip(),
+            self._call(system, f"Post:\n{post_snippet[:1500]}{ctx}{others}").strip(),
             preserve_md=preserve,
         )
         return reply[:2000]
@@ -340,13 +354,14 @@ class LLMClient:
         return hits / len(candidate)
 
     def quality_check(
-        self, kind: str, text: str, context: str = "", style: str = ""
+        self, kind: str, text: str, context: str = "", style: str = "", siblings: str = ""
     ) -> tuple[bool, str]:
         from devplacepy.services.bot.config import (
             MIN_COMMENT_LEN,
             MIN_SHORT_COMMENT_LEN,
             MIN_POST_LEN,
             RESTATEMENT_OVERLAP_THRESHOLD,
+            SIBLING_OVERLAP_THRESHOLD,
             GENERIC_COMMENT_PHRASES,
         )
 
@@ -371,6 +386,11 @@ class LLMClient:
             and self._overlap_ratio(stripped, context) > RESTATEMENT_OVERLAP_THRESHOLD
         ):
             return False, "restates the source"
+        if (
+            siblings
+            and self._overlap_ratio(stripped, siblings) > SIBLING_OVERLAP_THRESHOLD
+        ):
+            return False, "echoes another comment"
         verdict = self._call(
             "You are a strict content quality reviewer for a developer community. "
             "Reject text that is generic, low-effort, pure filler, or merely summarizes its "