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@nikhilgouthamb nikhilgouthamb commented Mar 15, 2025

Summary by CodeRabbit

  • New Features
    • Introduced an automated workflow for processing auto insurance claims.
    • The system extracts key claim details, cross-references policy guidelines, and generates structured settlement recommendations.
    • Improved error handling and streamlined processing steps for a more reliable claims experience.

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coderabbitai bot commented Mar 15, 2025

Walkthrough

A new Jupyter notebook has been added to implement an auto insurance claim processing workflow. The notebook outlines a series of steps: parsing claim documents, indexing policy data, generating vector-based queries, matching policy conditions through LLM reasoning, and producing structured recommendations. It defines several Pydantic-based data models and encapsulates the operations within a dedicated workflow class. Additionally, methods for claim parsing and document declaration retrieval are introduced, with error handling and event management integrated into the workflow.

Changes

File(s) Change Summary
.../Nikhil_Insurance_claim.ipynb Added a new Jupyter notebook for auto insurance claim processing. Introduces data models (ClaimInfo, PolicyQueries, PolicyRecommendation, ClaimDecision) and a workflow class (AutoInsuranceWorkflow). Methods parse_claim and get_declarations_docs are implemented.

Sequence Diagram(s)

sequenceDiagram
    participant U as User/Application
    participant W as AutoInsuranceWorkflow
    participant P as Policy Index
    participant L as LLM Service

    U->>W: Submit claim file
    W->>W: Parse claim document (parse_claim)
    W->>P: Query policy documents (get_declarations_docs)
    W->>L: Generate query & match conditions
    L-->>W: Return policy recommendations
    W->>U: Output structured claim decision
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Poem

I'm a bunny on a coding spree,
Hopping through claims with great agility.
Parsing and indexing with a joyful air,
Documenting each step with utmost care.
In this workflow garden, my code blooms bright –
A rabbit's delight in each line and byte! 🐰

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Actionable comments posted: 2

🧹 Nitpick comments (2)
Nikhil_Insurance claim (2)

33-34: Consider pinning your library versions.
While installing dependencies within the notebook is convenient for demos, relying on unpinned versions can lead to reproducibility issues and unexpected breakages if upstream packages introduce breaking changes or security fixes.

- !pip install llama-index llama-index-indices-managed-llama-cloud llama-cloud llama-parse
+ !pip install \
+     llama-index==0.6.23 \
+     llama-index-indices-managed-llama-cloud==0.2.1 \
+     llama-cloud==1.0.0 \
+     llama-parse==0.3.2

86-94: Prefer a date/datetime type for date_of_loss.
Currently, date_of_loss is declared as a str. Switching to a Pydantic datetime (or date) field can help validate properly formatted dates, reduce parsing errors, and ensure more robust date handling.

 class ClaimInfo(BaseModel):
     """Extracted Insurance claim information."""
     claim_number: str
     policy_number: str
     claimant_name: str
-    date_of_loss: str
+    date_of_loss: datetime
     loss_description: str
     estimated_repair_cost: float
     vehicle_details: Optional[str] = None
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📥 Commits

Reviewing files that changed from the base of the PR and between 6140fc3 and ada5cce.

📒 Files selected for processing (1)
  • Nikhil_Insurance claim (1 hunks)
🔇 Additional comments (1)
Nikhil_Insurance claim (1)

186-193: Add error handling for JSON decode failures.
If the specified file is missing or the JSON is malformed, json.load() will raise an unhandled exception. Consider wrapping with try-except and providing a clearer error message or fallback.

 def parse_claim(file_path: str) -> ClaimInfo:
     with open(file_path, "r") as f:
-        data = json.load(f)
+        try:
+            data = json.load(f)
+        except json.JSONDecodeError as e:
+            raise ValueError(f"Error decoding JSON from {file_path}: {e}")
     return ClaimInfo.model_validate(data)

Comment on lines +632 to +636
"def parse_claim(file_path: str) -> ClaimInfo:\n",
" import json\n",
" with open(file_path, \"r\") as f:\n",
" data = json.load(f)\n",
" return ClaimInfo.model_validate(data) # replace \"ClaimInfo\".model_validate with actual ClaimInfo class method\n",
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🛠️ Refactor suggestion

Avoid duplicating parse_claim logic.
This parse_claim definition appears to replicate the earlier implementation at lines 186-193. Consolidate them into a single shared function to prevent divergence or maintenance overhead.

- def parse_claim(file_path: str) -> ClaimInfo:
-     import json
-     with open(file_path, "r") as f:
-         data = json.load(f)
-     return ClaimInfo.model_validate(data)
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
"def parse_claim(file_path: str) -> ClaimInfo:\n",
" import json\n",
" with open(file_path, \"r\") as f:\n",
" data = json.load(f)\n",
" return ClaimInfo.model_validate(data) # replace \"ClaimInfo\".model_validate with actual ClaimInfo class method\n",

Comment on lines +715 to +725
" rec = ev.recommendation\n",
" covered = \"covered\" in rec.recommendation_summary.lower() or (rec.settlement_amount is not None and rec.settlement_amount > 0)\n",
" deductible = rec.deductible if rec.deductible is not None else 0.0\n",
" recommended_payout = rec.settlement_amount if rec.settlement_amount else 0.0\n",
" decision = ClaimDecision(\n",
" claim_number=claim_info.claim_number,\n",
" covered=covered,\n",
" deductible=deductible,\n",
" recommended_payout=recommended_payout,\n",
" notes=rec.recommendation_summary\n",
" )\n",
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⚠️ Potential issue

Fix coverage detection logic to avoid matching “not covered” as covered.
The substring check "covered" in rec.recommendation_summary.lower() will erroneously treat “not covered” as a positive match. This may lead to contradictions where coverage is marked True but settlement remains 0.0.

- covered = "covered" in rec.recommendation_summary.lower() or (rec.settlement_amount is not None and rec.settlement_amount > 0)
+ coverage_text = rec.recommendation_summary.lower()
+ has_coverage = " covered " in f" {coverage_text} "
+ is_exclusion = ("not covered" in coverage_text) or ("exclusion" in coverage_text)
+ covered = (rec.settlement_amount is not None and rec.settlement_amount > 0) or (has_coverage and not is_exclusion)
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
" rec = ev.recommendation\n",
" covered = \"covered\" in rec.recommendation_summary.lower() or (rec.settlement_amount is not None and rec.settlement_amount > 0)\n",
" deductible = rec.deductible if rec.deductible is not None else 0.0\n",
" recommended_payout = rec.settlement_amount if rec.settlement_amount else 0.0\n",
" decision = ClaimDecision(\n",
" claim_number=claim_info.claim_number,\n",
" covered=covered,\n",
" deductible=deductible,\n",
" recommended_payout=recommended_payout,\n",
" notes=rec.recommendation_summary\n",
" )\n",
" rec = ev.recommendation\n",
" coverage_text = rec.recommendation_summary.lower()\n",
" has_coverage = \" covered \" in f\" {coverage_text} \"\n",
" is_exclusion = (\"not covered\" in coverage_text) or (\"exclusion\" in coverage_text)\n",
" covered = (rec.settlement_amount is not None and rec.settlement_amount > 0) or (has_coverage and not is_exclusion)\n",
" deductible = rec.deductible if rec.deductible is not None else 0.0\n",
" recommended_payout = rec.settlement_amount if rec.settlement_amount else 0.0\n",
" decision = ClaimDecision(\n",
" claim_number=claim_info.claim_number,\n",
" covered=covered,\n",
" deductible=deductible,\n",
" recommended_payout=recommended_payout,\n",
" notes=rec.recommendation_summary\n",
" )\n",

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