Files
coyote/assets/agents/deep-research/scripts/parse_request.py
T
Dark-Alex-17 081fa2c9d4 test(suite): replace plan-label references with self-contained wording
Rust test comments/assert messages and deep-research script docstrings
cited numbered requirement labels (R3/R5) and task labels (TASK-016,
TASK-021) that are defined only in an external plan document. Reword
each to say what it means on its own: fail-safe crash guards, the
validator's fallback-capture warning, task-queue anchors.
2026-09-14 10:50:34 -06:00

55 lines
1.6 KiB
Python

#!/usr/bin/env python3
"""Entry router for deep-research.
Reads the caller's prompt from state. If it contains a usable research
topic, stores it as `topic` and falls through to the static `next`
(plan). If the prompt is empty, routes to `ask_topic` so the user can
supply one interactively.
Routing (`_next`):
- prompt present -> (no _next; static next: plan)
- prompt empty -> ask_topic
Fail-safe: a crash here (e.g. malformed GRAPH_STATE) means the
caller's prompt cannot be read at all, so proceeding silently is
meaningless — the degraded route is `ask_topic`, which asks the user for
the topic directly, plus a PIPELINE-FAULT entry so the loss is visible in
the final report's Pipeline notes. Clobbering `pipeline_faults` is safe
here: this is the start node, so the list can only hold its initial [].
"""
import json
import os
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 main():
state = load_state()
prompt = (state.get("initial_prompt") or "").strip()
if prompt:
print(json.dumps({"topic": prompt}))
else:
print(json.dumps({"_next": "ask_topic"}))
try:
main()
except Exception as e: # noqa: BLE001 — a crashed entry router must degrade, not die
print(
json.dumps(
{
"_next": "ask_topic",
"pipeline_faults": [
f"PIPELINE-FAULT: request parsing crashed — {e}; asked the "
"user for the research topic instead"
],
}
)
)