feat: created new graph-based deep-research agent
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#!/usr/bin/env python3
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"""Reflexion gate for deep-research.
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Runs after `critique` has reviewed the current research findings. If the
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critique's verdict is REVISE and the reflexion budget is not spent,
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loops back to `research` with the critique attached as
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`research_feedback`, so the retry is informed rather than a blind
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re-run. Otherwise it proceeds to `synthesize`.
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Routing (`_next`):
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- verdict PASS -> synthesize
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- verdict REVISE, budget remaining -> research_each_question (+ research_feedback)
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- verdict REVISE, budget spent -> synthesize
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Reflexion is a best-effort quality booster, not a hard gate: once the
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budget is spent the workflow proceeds anyway, and the human approval
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step is the final backstop.
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"""
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import json
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import os
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import re
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# Automated revision passes allowed. `research` runs at most
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# MAX_REFLEXION_REVISIONS + 1 times per user pass. Bump to allow more.
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MAX_REFLEXION_REVISIONS = 2
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def load_state():
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path = os.environ.get("GRAPH_STATE_FILE")
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if path:
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with open(path) as f:
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return json.load(f)
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return json.loads(os.environ.get("GRAPH_STATE", "{}"))
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def as_int(value, default=0):
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try:
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return int(value)
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except (TypeError, ValueError):
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return default
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def parse_verdict(critique):
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"""Pull PASS/REVISE from the critique's `VERDICT:` line. Defaults to
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PASS when no verdict line is found, so a malformed critique lets the
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workflow proceed instead of burning the whole revision budget."""
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match = re.search(r"VERDICT:\s*([A-Za-z]+)", critique, re.IGNORECASE)
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if not match:
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return "PASS"
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return match.group(1).upper()
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def main():
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state = load_state()
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critique = state.get("critique") or ""
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verdict = parse_verdict(critique)
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attempts = as_int(state.get("research_attempts"))
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if verdict == "REVISE" and attempts < MAX_REFLEXION_REVISIONS:
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feedback = (
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"A reviewer judged the previous research pass incomplete. "
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"Address every point in the critique below:\n\n" + critique
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)
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output = {
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"_next": "research_each_question",
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"research_attempts": attempts + 1,
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"research_feedback": feedback,
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}
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else:
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output = {"_next": "synthesize"}
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print(json.dumps(output))
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if __name__ == "__main__":
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main()
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