Dreamer: prompt versioning, Early REM v1.1, prompt signature in headers

scripts/dream.py

@@ -20,6 +20,7 @@ from pathlib import Path
 from datetime import datetime, timedelta
 from dotenv import load_dotenv
 import psycopg2
+import hashlib
 
 load_dotenv(Path.home() / "aaronai" / ".env")
 
@@ -47,6 +48,21 @@ MODE_RANGES = {
     "lucid":     (0.32, 0.72),
 }
 
+# ─── Prompt versioning ──────────────────────────────────────────────────────
+# Bump the relevant constant manually when changing a prompt.
+PROMPT_VERSION_NREM = "1.0"
+PROMPT_VERSION_EREM = "1.1"
+PROMPT_VERSION_LREM = "1.0"
+PROMPT_VERSION_SYN  = "1.0"
+
+def prompt_signature():
+    return (f"nrem={PROMPT_VERSION_NREM}|erem={PROMPT_VERSION_EREM}"
+            f"|lrem={PROMPT_VERSION_LREM}|syn={PROMPT_VERSION_SYN}")
+
+def prompt_hash(prompts: list[str]) -> str:
+    combined = "".join(prompts)
+    return hashlib.md5(combined.encode()).hexdigest()[:8]
+
 # ─── Stage 1: Observe ───────────────────────────────────────────────────────
 
 def observe_corpus():
@@ -158,29 +174,33 @@ that ends with a single concrete question he could act on."""
 
 
 def synthesize_early_rem(chunks, nrem_output):
+    # v1.1 — removed citation instruction, removed close-friend persona,
+    # shifted register from analysis to recognition.
     chunk_text = "\n\n---\n\n".join([f"[{c['source']}]\n{c['content']}" for c in chunks])
-    prompt = f"""You have been thinking about Aaron's situation. You know his work
-intimately — his decade building HVAMC at New Paltz, the career
-decision he is facing, the Tulsa project he keeps returning to,
-the gap between what he has built and what he wants to build next.
-
-Earlier tonight, while consolidating his recent work, you noticed this:
+    prompt = f"""Something was noticed earlier tonight, moving through Aaron's recent work:
 
 {nrem_output}
 
-That observation has been with you. Now, here is material from his
-corpus that has been on your mind alongside it:
+That observation is still with you. Now here is material from a different
+time — pulled from further back, from different parts of his corpus:
 
 {chunk_text}
 
-Write to him the way a close friend who has read everything he
-has ever written would write — someone who knows where the
-professional and personal are tangled together and is not afraid
-to say so. Let what was noticed earlier inform what you say now,
-but don't just repeat it — go further into the personal territory
-it opens up. Personal register. Specific citations. Do not avoid
-the difficult thing. No headers, no bullet points. 200-350 words.
-End with something forward-facing — a question or an offer."""
+You are not analyzing. You are recognizing.
+
+Something in the earlier observation and something in this older material
+are the same thing wearing different clothes. Find it. Don't explain why
+they're connected — just let the connection speak. Write from inside the
+recognition, not from above it.
+
+The emotional register underneath the career logic is more interesting
+than the career logic. The pattern that has been repeating longer than
+he has been aware of it is more interesting than the current instance.
+
+Write directly to Aaron. No citations, no references, no analysis.
+First person, present tense. Let what you noticed arrive rather than
+be delivered. 150-250 words. End with one thing that is true that
+he probably already knows but hasn't said out loud yet."""
     return _call_claude(prompt)
 
 
@@ -272,7 +292,8 @@ def deliver(dream_text, mode, task=None):
     import requests
     date_str = datetime.now().strftime("%Y-%m-%d")
     filename = f"{date_str}-{mode}.md"
-    header = f"# Dream — {mode.upper()} — {datetime.now().strftime('%Y-%m-%d %H:%M')}\n\n"
+    header = f"# Dream — {mode.upper()} — {datetime.now().strftime('%Y-%m-%d %H:%M')}\n"
+    header += f"*prompt_sig: {prompt_signature()}*\n\n"
     if task:
         header += f"*Task: {task}*\n\n"
     header += "---\n\n"