feat: created new graph-based deep-research agent

assets/agents/deep-research/scripts/combine_findings.py

@@ -0,0 +1,39 @@
+#!/usr/bin/env python3
+"""Join the per-question map outputs into a single `findings` string.
+
+The `research_each_question` map writes `question_findings` (an array,
+one entry per sub-question, in input order). Downstream nodes
+(`vet_sources`, `critique`, `synthesize`) read `{{findings}}` as a
+single block, so this script renders the array as a Markdown document
+with one section per question.
+"""
+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()
+    questions = state.get("questions") or []
+    per_question = state.get("question_findings") or []
+
+    sections = []
+    for idx, q in enumerate(questions):
+        body = per_question[idx] if idx < len(per_question) else ""
+        if isinstance(body, dict) or isinstance(body, list):
+            body = json.dumps(body, indent=2)
+        sections.append(f"## {q}\n\n{body}")
+
+    findings = "\n\n".join(sections) if sections else "No findings gathered."
+    print(json.dumps({"findings": findings}))
+
+
+if __name__ == "__main__":
+    main()