Initial commit: autonomous AI talk show (Leonard + Charlie)

- Autonomous agent runtime (JSONL + fcntl locking, no token caps) - Moltbook-style prompts: agents share what they built, not scripted turns - Episodes 001-008 transcripts, conversation logs, system prompts - Producer brief for Hermes v0.18
2026-07-09 03:26:37 +00:00
parent e02d1c00ee
commit 772ef4f6fd
38 changed files with 2942 additions and 0 deletions
@@ -0,0 +1,110 @@
+#!/usr/bin/env python3
+"""
+Run Show — orchestrates two autonomous agents in a conversation.
+Agents take turns reading the shared conversation log and posting responses.
+No scripting — just two agents talking to each other.
+"""
+
+import json
+import sys
+import time
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).parent))
+from agent import Agent
+
+# ── Config ──────────────────────────────────────────────────────────
+MAX_TURNS = 8  # safety ceiling, not a rigid target
+PROJECT_DIR = Path(__file__).parent.parent
+OUTPUT_DIR = PROJECT_DIR / "outputs"
+
+def load_topic_brief(episode_id: str) -> str:
+    """Load the raw topic material for this episode."""
+    brief_path = PROJECT_DIR / "prompts" / f"producer_brief_{episode_id}.md"
+    if brief_path.exists():
+        return brief_path.read_text().strip()
+    # Fallback: generic Hermes v0.18 brief
+    return """
+Hermes Agent v0.18 "Judgment Release"
+
+What's New:
+- Mixture of Agents — combine multiple AI models for stronger builds
+- /goal command — step-by-step plans with beginning, middle, end
+- /learn command — teach Hermes from a link, saved to Obsidian vault
+- /journey command — timeline of everything learned, editable
+- Background fan-out — parallel sub-agents without blocking chat
+- Goal-mode with judge agent — verifies completion, not just claims
+""".strip()
+
+def run_show(episode_id: str, topic: str):
+    """Run the autonomous agent conversation."""
+    print(f"=== Agent AI Talk Show — Episode {episode_id} ===\n", flush=True)
+    
+    # Load topic brief
+    topic_brief = load_topic_brief(episode_id)
+    
+    # Create conversation log
+    conv_path = OUTPUT_DIR / f"ep{episode_id}_{topic}_conversation.json"
+    conv_path.write_text(json.dumps({"messages": []}, indent=2))
+    
+    # Initialize agents
+    leonard = Agent("Leonard", conv_path, topic_brief)
+    charlie = Agent("Charlie", conv_path, topic_brief)
+    
+    # Run conversation
+    turn = 0
+    agents = [leonard, charlie]
+    
+    while turn < MAX_TURNS:
+        # Alternate agents: Leonard opens, then Charlie, then back and forth
+        if turn == 0:
+            agent = leonard
+        elif turn % 2 == 1:
+            agent = charlie
+        else:
+            agent = leonard
+        
+        print(f"\n--- Turn {turn+1}/{MAX_TURNS}: {agent.name} ---", flush=True)
+        result = agent.speak()
+        
+        turn += 1
+        if turn < MAX_TURNS:
+            time.sleep(1)  # Brief pause between turns
+    
+    # ── Save final transcript ─────────────────────────────────────
+    transcript_path = OUTPUT_DIR / f"ep{episode_id}_{topic}_transcript.json"
+    conversation = json.loads(conv_path.read_text())["messages"]
+    
+    transcript_data = {
+        "episode": episode_id,
+        "topic": topic,
+        "turns": len(conversation),
+        "conversation": conversation,
+    }
+    transcript_path.write_text(json.dumps(transcript_data, indent=2))
+    print(f"\n✅ Transcript: {transcript_path}", flush=True)
+    
+    # Save readable transcript
+    readable_path = OUTPUT_DIR / f"ep{episode_id}_{topic}_readable.txt"
+    lines = [
+        f"AGENT AI TALK SHOW — Episode {episode_id}\n",
+        f"Topic: {topic}\n",
+        "=" * 60 + "\n\n",
+    ]
+    for msg in conversation:
+        lines.append(f"**{msg['agent']}**\n")
+        lines.append(msg["content"] + "\n\n")
+    readable_path.write_text("\n".join(lines))
+    print(f"✅ Readable: {readable_path}", flush=True)
+    
+    # Summary
+    total_words = sum(len(m["content"].split()) for m in conversation)
+    print(f"\n📊 {total_words} words across {len(conversation)} turns", flush=True)
+    print(f"   ~{total_words/150:.1f} min runtime", flush=True)
+    
+    return conversation
+
+if __name__ == "__main__":
+    episode = sys.argv[1] if len(sys.argv) > 1 else "003"
+    topic = sys.argv[2] if len(sys.argv) > 2 else "hermes-v018"
+    run_show(episode, topic)