Feature: AI-powered intelligent summaries with sub-agents (analyze + tag)
This commit is contained in:
Remora
139
bot.py
139
bot.py
@@ -14,6 +14,8 @@ from pathlib import Path
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from dotenv import load_dotenv
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import logging
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from urllib.parse import urlparse
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import subprocess
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import sys
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# Load .env file
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load_dotenv()
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@@ -157,54 +159,83 @@ def fetch_url_content(url):
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logger.error(f" ❌ Error: {e}")
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return {"title": "Fetch failed", "status": "error", "error": str(e), "content": ""}
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# Analyze with OpenClaw gateway (Haiku)
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def analyze_with_gateway(url, title, content):
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"""Send to OpenClaw gateway for AI analysis"""
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logger.debug(f" 🤖 Analyzing with gateway: {url}")
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# Analyze content with AI (Haiku via gateway)
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def analyze_content(url, title, content, link_type):
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"""Analyze content and create intelligent summary"""
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logger.debug(f" 🤖 Analyzing content: {url}")
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# Build analysis prompt
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prompt = f"""Analyze this webpage briefly (2-3 sentences max):
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analysis_prompt = f"""Analyze this link and create a brief summary useful for Laurent.
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URL: {url}
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Title: {title}
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**Link**: {link_type} - {title}
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**URL**: {url}
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Content excerpt:
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{content[:1000]}
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**Content (first 1500 chars)**:
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{content[:1500]}
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Provide:
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1. What is this about? (1 sentence)
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2. Who should read this? (optional)
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3. Suggested Tududi tag (e.g., "to-read", "learning", "inspiration", "tool")
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---
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Keep it concise!"""
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Respond in JSON format ONLY (no markdown, no explanation):
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{{
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"summary": "1-2 sentences max: What is it? Why would Laurent find it useful?",
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"tag": "one of: to-read, tool, inspiration, learning, reference, interesting, project, tutorial, article, code, security",
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"relevance": "very-relevant OR relevant OR nice-to-have"
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}}
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Be concise and practical."""
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try:
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response = requests.post(
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f"{GATEWAY_URL}/v1/messages",
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headers={"Authorization": f"Bearer {GATEWAY_TOKEN}"} if GATEWAY_TOKEN else {},
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json={
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"messages": [{"role": "user", "content": prompt}],
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"model": "openrouter/anthropic/claude-haiku-4.5",
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"max_tokens": 150
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},
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timeout=10
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# Use OpenClaw CLI to invoke sessions_spawn
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# This spawns a sub-agent that analyzes the content
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result = subprocess.run(
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[
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sys.executable, "-m", "openclaw",
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"sessions", "spawn",
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"--task", analysis_prompt,
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"--model", "openrouter/anthropic/claude-haiku-4.5",
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"--thinking", "off",
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"--timeout", "15"
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],
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capture_output=True,
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text=True,
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timeout=20
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)
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if response.status_code == 200:
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result = response.json()
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analysis = result.get("content", [{}])[0].get("text", "")
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logger.debug(f" ✓ Analysis complete")
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return analysis
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if result.returncode == 0:
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output = result.stdout
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logger.debug(f" Sub-agent response: {output[:200]}")
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# Try to parse JSON
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try:
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json_match = re.search(r'\{[^{}]*"summary"[^{}]*\}', output, re.DOTALL)
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if json_match:
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analysis_data = json.loads(json_match.group())
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logger.debug(f" ✓ Analysis parsed successfully")
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return analysis_data
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except json.JSONDecodeError:
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pass
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# Fallback: extract summary from text
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summary_line = output.split('\n')[0][:200]
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return {
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"summary": summary_line,
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"tag": "interesting",
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"relevance": "relevant"
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}
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else:
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logger.warning(f" Gateway error: {response.status_code}")
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logger.warning(f" Sub-agent error: {result.stderr[:200]}")
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return None
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except subprocess.TimeoutExpired:
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logger.warning(f" Analysis timeout")
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return None
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except Exception as e:
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logger.warning(f" Gateway timeout/error: {e}")
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logger.warning(f" Analysis error: {e}")
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return None
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# Send to Tududi inbox
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def add_to_tududi(title, url, link_type, analysis=""):
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"""Add to Tududi inbox with summary"""
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def add_to_tududi(title, url, link_type, summary="", tag=""):
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"""Add to Tududi inbox with intelligent summary"""
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logger.debug(f" 📌 Adding to Tududi: {title}")
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try:
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@@ -212,9 +243,14 @@ def add_to_tududi(title, url, link_type, analysis=""):
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logger.warning(" TUDUDI_API_KEY not set")
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return False
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# Format the inbox content
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content = f"📌 **{link_type}**: {title}\n🔗 {url}"
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if analysis:
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content += f"\n\n💡 Summary:\n{analysis}"
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if summary:
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content += f"\n\n💡 **Summary**:\n{summary}"
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if tag:
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content += f"\n\n🏷️ **Tag**: {tag}"
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response = requests.post(
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f"{TUDUDI_API_URL}/inbox",
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@@ -226,8 +262,8 @@ def add_to_tududi(title, url, link_type, analysis=""):
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timeout=5
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)
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if response.status_code == 200:
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logger.info(f" ✓ Added to Tududi inbox")
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if response.status_code in [200, 201]: # 200 or 201 are both OK
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logger.info(f" ✓ Added to Tududi inbox with tag: {tag}")
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return True
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else:
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logger.warning(f" Tududi error: {response.status_code}")
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@@ -278,24 +314,27 @@ class LinkAnalyzerBot(discord.Client):
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fetch_result = fetch_url_content(url)
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title = fetch_result["title"]
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# Analyze with gateway (disabled for now - no valid endpoint)
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analysis = None
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# if fetch_result["status"] == "ok":
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# analysis = analyze_with_gateway(url, title, fetch_result.get("content", ""))
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# Analyze content if fetch was successful
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analysis_data = None
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if fetch_result["status"] == "ok":
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analysis_data = analyze_content(url, title, fetch_result.get("content", ""), link_type)
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# Add to Tududi
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tududi_ok = add_to_tududi(title, url, link_type, analysis or "")
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# Prepare summary for Tududi
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summary_text = ""
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tag = "interesting"
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if analysis_data:
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summary_text = analysis_data.get("summary", "")
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tag = analysis_data.get("tag", "interesting")
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# Add to Tududi with summary
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tududi_ok = add_to_tududi(title, url, link_type, summary_text, tag)
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# Format response for Discord
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response_text = f"📌 **{link_type}**: {title}"
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if fetch_result.get("description"):
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# Add description if available
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desc = fetch_result["description"][:150]
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response_text += f"\n📝 {desc}"
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if analysis:
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# Truncate to 200 chars for Discord
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summary = analysis[:200].split('\n')[0]
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response_text += f"\n💡 {summary}"
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if summary_text:
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response_text += f"\n\n💡 {summary_text}"
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if tag:
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response_text += f"\n\n🏷️ Tag: `{tag}`"
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logger.debug(f"Posting response: {response_text}")
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