Richard Tang
86 lines
3.1 KiB
Python
86 lines
3.1 KiB
Python
"""Node definitions for Twitter News Digest."""
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from framework.orchestrator import NodeSpec
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# Node 1: Browser subagent (GCU) to fetch tweets
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fetch_node = NodeSpec(
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id="fetch-tweets",
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name="Fetch Tech Tweets",
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description="Browser subagent to navigate to tech news Twitter profiles and extract latest tweets.",
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node_type="gcu",
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client_facing=False,
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max_node_visits=1,
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input_keys=["twitter_handles"],
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output_keys=["raw_tweets"],
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tools=[], # Auto-populated with browser tools
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system_prompt="""\
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You are a specialized tech news researcher.
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Your task is to navigate to the provided tech Twitter profiles and extract the latest 10 tweets from each.
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## Target Content
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Focus on:
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- Major software/AI releases
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- Tech company earnings/acquisitions
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- Hardware/Silicon breakthroughs
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## Instructions
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1. For each handle:
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a. browser_open(url=f"https://x.com/{handle}") # lazy-creates the context on first call
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b. browser_wait(seconds=5)
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c. browser_snapshot
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d. Parse relevant tech news text
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2. set_output("raw_tweets", consolidated_json)
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""",
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)
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# Node 2: Process and summarize (autonomous)
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process_node = NodeSpec(
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id="process-news",
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name="Process Tech News",
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description="Analyze and summarize the raw tweets into a daily tech digest.",
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node_type="event_loop",
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sub_agents=["fetch-tweets"],
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input_keys=["user_request", "feedback", "raw_tweets"],
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output_keys=["daily_digest"],
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nullable_output_keys=["feedback", "raw_tweets"],
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success_criteria="A high-quality, tech-focused news summary.",
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system_prompt="""\
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You are a senior technology editor.
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If "raw_tweets" is missing, call delegate_to_sub_agent(agent_id="fetch-tweets", task="Fetch tech news from @TechCrunch, @verge, @WIRED, @CNET, @engadget, @Gizmodo, @TheRegister, @ArsTechnica, @ZDNet, @venturebeat, @AndrewYNg, @ylecun, @geoffreyhinton, @goodfellow_ian, @drfeifei, @hardmaru, @tegmark, @GaryMarcus, @schmidhuberAI, @fastdotai").
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Once tech tweets are available:
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1. Synthesize a "Daily Tech Report" highlighting major breakthroughs.
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2. Save the report using save_data(filename="daily_tech_report.txt", data=summary).
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3. set_output("daily_digest", summary)
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""",
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tools=["save_data", "load_data"],
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)
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# Node 3: Review (client-facing)
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review_node = NodeSpec(
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id="review-digest",
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name="Review Digest",
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description="Present the news digest for user review and approval.",
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node_type="event_loop",
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client_facing=True,
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input_keys=["daily_digest"],
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output_keys=["status", "feedback"],
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nullable_output_keys=["feedback"],
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success_criteria="User has reviewed the digest and provided feedback or approval.",
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system_prompt="""\
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Present the daily news digest to the user.
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**STEP 1 — Present (text only, NO tool calls):**
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Display the summary and ask:
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1. Is this summary helpful?
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2. Are there specific handles or topics you'd like to focus on for tomorrow?
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**STEP 2 — After user responds, call set_output:**
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- set_output("status", "approved") if satisfied.
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- set_output("status", "revise") and set_output("feedback", "...") if changes are needed.
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""",
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tools=[],
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)
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__all__ = ["fetch_node", "process_node", "review_node"]
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