LLM Trajectory Failure Mode Identification and Clustering

.gitignore

@@ -201,3 +201,5 @@ mcp/couchdb/sample_data/bulk_docs.json
 .env
 mcp/servers/tsfm/artifacts/tsfm_models/
 src/tmp/
+
+

pyproject.toml

@@ -50,6 +50,11 @@ tsfm = [
     "torch>=2.0",
     "transformers>=4.40",
 ]
+# Optional deps for trajectory analysis clustering (Phase 3)
+trajectory-analysis = [
+    "sentence-transformers>=2.0",
+    "scikit-learn>=1.0",
+]
 
 [tool.uv]
 package = true

src/trajectory_analysis/__init__.py

@@ -0,0 +1,11 @@
+"""Trajectory analysis module for AssetOpsBench.
+
+This module provides tools for analyzing agent trajectories and identifying
+failure modes in multi-agent systems.
+"""
+
+from . import failure_mode
+
+__all__ = ["failure_mode"]
+
+# Made with Bob