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coyote/assets/agents/deep-research/scripts/reflexion_gate.py
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Python

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