Update tools.py

tools.py

@@ -115,7 +115,7 @@ def _split_sentences(text):
 
 
 # ── Tool 1: load_scopus_csv ────────────────────────────────────────────────────
-@tool(handle_tool_error=True)
+@tool
 def load_scopus_csv(filepath: str) -> str:
     """Load a Scopus CSV export, count papers and sentences, apply boilerplate filtering.
     Returns stats string with paper count, abstract sentence count, title sentence count.
@@ -153,7 +153,7 @@ def load_scopus_csv(filepath: str) -> str:
 
 
 # ── Tool 2: run_bertopic_discovery ────────────────────────────────────────────
-@tool(handle_tool_error=True)
+@tool
 def run_bertopic_discovery(run_key: str, threshold: float = 0.7) -> str:
     """Embed sentences with all-MiniLM-L6-v2, cluster with AgglomerativeClustering (cosine metric),
     find 5 nearest centroids per cluster, generate 4 Plotly charts. Save summaries.json + emb.npy.
@@ -289,7 +289,7 @@ def _generate_charts(cluster_data, run_key, embeddings, labels_arr):
 
 
 # ── Tool 3: label_topics_with_llm ─────────────────────────────────────────────
-@tool(handle_tool_error=True)
+@tool
 def label_topics_with_llm(run_key: str) -> str:
     """Send top MAX_LABEL_TOPICS topics to Mistral for labelling. Each topic gets:
     label, category, confidence, reasoning, niche (true/false).
@@ -345,7 +345,7 @@ JSON array:"""
 
 
 # ── Tool 4: consolidate_into_themes ───────────────────────────────────────────
-@tool(handle_tool_error=True)
+@tool
 def consolidate_into_themes(run_key: str, theme_map: str) -> str:
     """Merge researcher-approved topic groups into consolidated themes.
     Recomputes centroids, recounts sentences and papers.
@@ -400,7 +400,7 @@ def _build_theme(name, topic_ids, label_lookup):
 
 
 # ── Tool 5: compare_with_taxonomy ─────────────────────────────────────────────
-@tool(handle_tool_error=True)
+@tool
 def compare_with_taxonomy(run_key: str) -> str:
     """Map final themes to PAJAIS 25-category taxonomy using Mistral.
     Each theme gets: pajais_match (or NOVEL), match_confidence, reasoning, is_novel.
@@ -461,7 +461,7 @@ JSON array:"""
 
 
 # ── Tool 6: generate_comparison_csv ───────────────────────────────────────────
-@tool(handle_tool_error=True)
+@tool
 def generate_comparison_csv() -> str:
     """Load themes from both abstract and title runs, create side-by-side comparison DataFrame.
     Saves comparison.csv showing convergence and divergence between runs."""
@@ -509,7 +509,7 @@ def generate_comparison_csv() -> str:
 
 
 # ── Tool 7: export_narrative ───────────────────────────────────────────────────
-@tool(handle_tool_error=True)
+@tool
 def export_narrative(run_key: str) -> str:
     """Generate a 500-word Section 7 narrative report for the literature review paper.
     Uses themes and taxonomy mapping via Mistral. Saves narrative.txt.
@@ -568,4 +568,4 @@ ALL_TOOLS = [
     compare_with_taxonomy,
     generate_comparison_csv,
     export_narrative,
-]
+]