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@ArmstrongA ArmstrongA commented Mar 14, 2025

This application processes auto insurance claims using LlamaIndex and Gemini LLM.
It can be run as a command-line tool or as a Streamlit web application.

I have also added two ways of processing claims, uploading a json file and entering data manually.

Summary by CodeRabbit

  • New Features

    • Introduced an interactive auto insurance claim processing app with a web interface for file uploads and manual entry.
    • Added a command-line tool for testing and processing claims using sample data.
    • Implemented structured data handling for insurance claims through JSON files.
    • Added new environment configuration file for setting up API keys and project details.
    • Added sample documents and JSON files for claims processing.
  • Documentation

    • Provided detailed setup instructions, usage examples, and sample JSON formats for claims and policy declarations.
    • Added a README file outlining application features and configuration steps.
  • Chores

    • Supplied environment configuration templates and ignore rules to streamline deployment and customization.
    • Introduced new markdown documents detailing policy declarations for sample claims.

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coderabbitai bot commented Mar 14, 2025

Walkthrough

This update introduces new configuration files and comprehensive documentation for an auto insurance claims processing application. It adds a template for environment variables, a git ignore file, and a README detailing setup and usage instructions. Additionally, a Streamlit web app and a Jupyter notebook are provided to facilitate claim processing via file upload or manual entry. The core asynchronous workflow is implemented in a new module using Pydantic models and event classes. Sample policy documents and claim JSON files are included, along with a CLI test script for processing claims.

Changes

Files Summary
.../.env.example, .../.gitignore, .../README.md Added environment configuration template, Git ignore rules, and README with setup instructions, usage details, and directory structure for the application.
.../app.py Introduces a new Streamlit web app with two tabs ("Process File" and "Manual Entry") to process claims, handle file uploads, display results, and manage errors.
.../auto_insurance.ipynb Provides a Jupyter Notebook that outlines an asynchronous workflow for processing auto insurance claims using Pydantic models, event classes, and an orchestrator class to manage workflow steps.
.../data/alice-declarations.md, .../data/alice.json, .../data/john-declarations.md, .../data/john.json Adds sample policy declarations and structured claim data in markdown and JSON formats for testing and demonstration purposes.
.../insurance_claim_processor.py, .../test_workflow.py Implements an asynchronous processing workflow with event classes to handle claim data, policy queries, recommendations, and decisions; a CLI script for testing the claim processing functionality is also provided.

Sequence Diagram(s)

sequenceDiagram
    participant U as User
    participant A as App (Streamlit/CLI)
    participant W as AutoInsuranceWorkflow
    U->>A: Provide claim data (file upload or manual entry)
    A->>W: Call process_claim()
    W->>W: load_claim_info()
    W->>W: generate_policy_queries()
    W->>W: retrieve_policy_text()
    W->>W: generate_recommendation()
    W->>W: finalize_decision()
    W->>A: Return decision & logs
    A->>U: Display results
Loading

Poem

I'm a bunny in the code garden,
Hopping through claims with a joyful pardon.
From JSON files to workflows neat,
I nibble on changes, oh so sweet.
With every hop, the process sings—
Bunny cheers for these coding things! 🐇

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Actionable comments posted: 7

🧹 Nitpick comments (17)
auto-insurance-claims-agentic-RAG/.gitignore (1)

1-2: Ignore Sensitive Environment Files and Cache Directories

The file correctly excludes the .env file (which likely contains sensitive API keys or configuration details) and the __pycache__ directory from version control. This aligns with best practices for managing environment variables and build artifacts.

Optional: You might consider adding additional patterns such as *.pyc to ignore compiled Python files and perhaps other temporary files depending on your project’s structure.

auto-insurance-claims-agentic-RAG/.env.example (1)

1-4: Environment variables template needs improvement

The template provides placeholders for required API keys and configuration, but could be improved:

  1. Include comments explaining each variable's purpose
  2. Use consistent formatting (remove space in assignment for LLAMA_CLOUD_API_KEY)
  3. Add more descriptive placeholder values
-GOOGLE_API_KEY="AI..."
-LLAMA_CLOUD_API_KEY = "llx-..."
-PROJECT_NAME ="..."
-ORGANIZATION_ID="..."
+# Google API key for Gemini LLM access
+GOOGLE_API_KEY="your-google-api-key-here"
+# LlamaIndex Cloud API key for index operations
+LLAMA_CLOUD_API_KEY="llx-your-llama-cloud-api-key-here"
+# Project name for LlamaIndex Cloud
+PROJECT_NAME="your-project-name-here"
+# Organization ID for LlamaIndex Cloud
+ORGANIZATION_ID="your-organization-id-here"
auto-insurance-claims-agentic-RAG/test_workflow.py (3)

1-3: Remove unused import

The json module is imported but never used in the code.

import argparse
-import json
from insurance_claim_processor import process_claim
🧰 Tools
🪛 Ruff (0.8.2)

2-2: json imported but unused

Remove unused import: json

(F401)


10-12: Improve CLI error handling

The current implementation prints an error message but returns silently when the file argument is missing. Consider using parser.error() which automatically exits with a non-zero status code and displays usage information.

if not args.file:
-    print("Please provide a path to a claim JSON file using --file")
-    return
+    parser.error("Please provide a path to a claim JSON file using --file")

5-27: Add logs output to standard output

The function process_claim returns both a decision and logs, but the logs are not being displayed in the output. Consider adding an option to display these logs, which could be valuable for debugging and understanding the decision-making process.

def main():
    parser = argparse.ArgumentParser(description='Process an insurance claim')
    parser.add_argument('--file', type=str, help='Path to claim JSON file')
+    parser.add_argument('--verbose', '-v', action='store_true', help='Display processing logs')
    args = parser.parse_args()
    
    if not args.file:
        print("Please provide a path to a claim JSON file using --file")
        return
    
    print(f"Processing claim from {args.file}...")
    
    try:
        decision, logs = process_claim(claim_json_path=args.file)
        
        print("\n" + "="*50)
        print("CLAIM DECISION:")
        print(decision.model_dump_json(indent=2))
        print("="*50)
+        
+        if args.verbose and logs:
+            print("\nPROCESSING LOGS:")
+            print("="*50)
+            for log in logs:
+                print(f"[{log.get('timestamp', 'NO TIME')}] {log.get('message', '')}")
+            print("="*50)
    except Exception as e:
        print(f"Error processing claim: {str(e)}")
auto-insurance-claims-agentic-RAG/README.md (5)

13-15: Add a language specifier to the fenced code block.

Same issue (MD040). Here’s a quick fix:

-```
+```bash
cp .env.example .env
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)

13-13: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


29-34: Add a language specifier to the fenced code block for directory structure.

Consider using plaintext or none to avoid confusion:

-```
+```plaintext
data/
  john.json
  alice.json
  # ... other claim files
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)

29-29: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


40-42: Add a language specifier to the command snippet.

-```
+```bash
python test_workflow.py --file data/john.json
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)

40-40: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


48-50: Add a shell language specifier for the Streamlit command.

-```
+```bash
streamlit run app.py
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)

48-48: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


63-73: Add a language specifier to the JSON code block for clarity.

It’s already labeled “json,” but ensuring the fenced code block starts with ```json satisfies lint rules:

-```
+```json
{
  "claim_number": "CL1234567",
  ...
}
auto-insurance-claims-agentic-RAG/insurance_claim_processor.py (7)

12-21: Validate financial fields and date formats in ClaimInfo.

Currently, there's no explicit validation for fields like estimated_repair_cost or a consistent date format check for date_of_loss. Consider adding Pydantic validators or constraints to ensure the cost is non-negative and the date is in a valid format.

class ClaimInfo(BaseModel):
    ...
    @root_validator
    def check_date_and_cost(cls, values):
        cost = values.get("estimated_repair_cost")
        date_str = values.get("date_of_loss")
        if cost is not None and cost < 0:
            raise ValueError("Estimated repair cost must be non-negative.")
        # Validate date format if needed, e.g. YYYY-MM-DD
        # You could use datetime.strptime(date_str, '%Y-%m-%d') in a try/except block
        return values

42-58: Add disclaimers about partial coverage of policy aspects.

While the prompt is thorough, ensure that the user is aware the generated queries might not capture all policy nuances (e.g., liability vs. collision coverage, or special endorsements). Prompt disclaimers can help reduce user assumption of comprehensive coverage.


60-74: Enhance coverage for complex policy scenarios.

While the POLICY_RECOMMENDATION_PROMPT provides a structure for standard coverage details, consider scenarios involving modified vehicles, non-standard endorsements, or multi-claim events. Maintaining prompt extensibility can mitigate future coverage gaps.


131-145: Warn if claim data is too large or incomplete.

Currently, we only handle a missing claim, but not if the fields are empty or drastically large (leading to potential memory or LLM prompt length issues). A robust check can safeguard system reliability.


190-204: Add fallback for ambiguous policy recommendations.

When the LLM returns policy recommendations that are incomplete or contradictory, you might want to detect or ask for clarifications. Currently, there's no path for re-prompting or adjusting coverage details on ambiguous results.


229-243: Consider streaming logs to a more persistent destination.

Currently, logs are printed to stdout and collected in events. If running in a production environment, saving logs to a dedicated logging infrastructure or a file might ease troubleshooting and compliance requirements.


310-326: Consider integrating unit tests for process_claim.

The main entry point is large and critical, but there's no indication in the file of how tests are structured. With multiple dependencies on environment variables and external LLM calls, consider creating a test harness or mocking these dependencies to ensure robust coverage.

Would you like me to provide a basic Pytest or Unittest suite scaffolding to test these functionalities?

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 6140fc3 and c556052.

⛔ Files ignored due to path filters (6)
  • auto-insurance-claims-agentic-RAG/data/Chicago.pdf is excluded by !**/*.pdf
  • auto-insurance-claims-agentic-RAG/data/Houston.pdf is excluded by !**/*.pdf
  • auto-insurance-claims-agentic-RAG/data/Los_Angeles.pdf is excluded by !**/*.pdf
  • auto-insurance-claims-agentic-RAG/data/Miami.pdf is excluded by !**/*.pdf
  • auto-insurance-claims-agentic-RAG/data/New_York_City.pdf is excluded by !**/*.pdf
  • auto-insurance-claims-agentic-RAG/data/Seattle.pdf is excluded by !**/*.pdf
📒 Files selected for processing (11)
  • auto-insurance-claims-agentic-RAG/.env.example (1 hunks)
  • auto-insurance-claims-agentic-RAG/.gitignore (1 hunks)
  • auto-insurance-claims-agentic-RAG/README.md (1 hunks)
  • auto-insurance-claims-agentic-RAG/app.py (1 hunks)
  • auto-insurance-claims-agentic-RAG/auto_insurance.ipynb (1 hunks)
  • auto-insurance-claims-agentic-RAG/data/alice-declarations.md (1 hunks)
  • auto-insurance-claims-agentic-RAG/data/alice.json (1 hunks)
  • auto-insurance-claims-agentic-RAG/data/john-declarations.md (1 hunks)
  • auto-insurance-claims-agentic-RAG/data/john.json (1 hunks)
  • auto-insurance-claims-agentic-RAG/insurance_claim_processor.py (1 hunks)
  • auto-insurance-claims-agentic-RAG/test_workflow.py (1 hunks)
🧰 Additional context used
🪛 Ruff (0.8.2)
auto-insurance-claims-agentic-RAG/test_workflow.py

2-2: json imported but unused

Remove unused import: json

(F401)

auto-insurance-claims-agentic-RAG/app.py

4-4: insurance_claim_processor.ClaimInfo imported but unused

Remove unused import: insurance_claim_processor.ClaimInfo

(F401)

🪛 markdownlint-cli2 (0.17.2)
auto-insurance-claims-agentic-RAG/README.md

9-9: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


13-13: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


29-29: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


40-40: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


48-48: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

🔇 Additional comments (9)
auto-insurance-claims-agentic-RAG/data/john.json (1)

1-9: Sample data structure is well-formed

The JSON structure is valid and includes all essential fields needed for claim processing. The sample provides a good test case with realistic values for an auto insurance claim scenario.

auto-insurance-claims-agentic-RAG/data/alice.json (1)

1-9: Sample data structure is well-formed

The JSON structure is valid and includes all essential fields needed for claim processing. The data provides a good test case with appropriate values for an auto insurance claim scenario involving a rear-end collision.

auto-insurance-claims-agentic-RAG/data/john-declarations.md (1)

1-48: Policy declaration document is well-structured

The policy declaration document provides comprehensive coverage details that align with the claim data in john.json. It includes all standard elements of an auto insurance declarations page including policy information, coverages, premiums, and endorsements.

auto-insurance-claims-agentic-RAG/README.md (1)

9-11: Specify a language for the fenced code block to comply with Markdown lint rules.

Currently, the fenced code block lacks a language specifier, which triggers a markdownlint (MD040) warning. Let’s explicitly specify a shell language (e.g., bash):

-```
+```bash
pip install -r requirements.txt
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)

9-9: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

auto-insurance-claims-agentic-RAG/data/alice-declarations.md (1)

1-50: No functional issues identified; consider confirming the use of sample data.

Everything looks fine here. Broader usage of personally identifying details (PII) should be verified to ensure it’s purely fictitious. If so, no changes needed.

auto-insurance-claims-agentic-RAG/auto_insurance.ipynb (1)

719-722: Investigate and fix the coroutine “never awaited” RuntimeWarning.

The logs indicate a potential issue with the async call pattern in the notebook. Consider wrapping the code in an asyncio.run(...) block or ensuring all async calls are properly awaited. For instance:

-# Now test the workflow
-response_dict = await stream_workflow(workflow, claim_json_path="data/john.json")
-print(str(response_dict["decision"]))
+
+import asyncio
+# ...
+async def main():
+    response_dict = await stream_workflow(workflow, claim_json_path="data/john.json")
+    print(str(response_dict["decision"]))
+
+asyncio.run(main())
auto-insurance-claims-agentic-RAG/insurance_claim_processor.py (3)

1-2: Consider robust error handling with nest_asyncio usage.

Although applying nest_asyncio can help unify event loops in interactive environments like Jupyter notebooks, consider adding checks or try/except blocks to gracefully handle unexpected event-loop conflicts or re-entry errors, especially if the library is used in production.

Would you like me to create a verification script to confirm that nest_asyncio.apply() doesn't introduce regressions in environments where multiple loops co-exist, such as notebooks?


159-188: Ensure concurrency safety when aggregating policy docs.

This code merges retrieved docs in a dictionary by their id_. If the retriever is updated to run parallel tasks in the future, consider concurrency controls or locks for dictionary integration, especially if Python versions < 3.9 are used.

Do you want a script to detect concurrency usage throughout the codebase (e.g., if the retriever is overridden or extended)?


245-309: Validate environment variables.

The setup function retrieves environment variables without validating whether they exist or produce secure results. If gemini_key, llama_cloud_key, or the others are missing or invalid, the code might fail silently. Add explicit checks or warnings to guide users.

"policy_number": "POLICY-ABC123",
"claimant_name": "John Smith",
"date_of_loss": "2024-04-10",
"loss_description": "While delivering pizzas, collided with a parked car, causing damage to the parked car’s door.",
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💡 Verification agent

❓ Verification inconclusive

Potential coverage issue with commercial activity

The loss description mentions "delivering pizzas" which indicates commercial use of the vehicle. This could affect claim eligibility since personal auto policies typically exclude coverage for commercial activities like food delivery. Consider highlighting this potential coverage issue in the claims processing logic.


Attention: Update Claims Processing Logic for Commercial Activity

The file auto-insurance-claims-agentic-RAG/data/john.json (line 6) contains the following loss description:

  "loss_description": "While delivering pizzas, collided with a parked car, causing damage to the parked car’s door."

This clearly indicates a commercial activity since delivering pizzas is typically not covered under standard personal auto policies. Please ensure that the claims processing logic is updated to detect and flag such scenarios—either by explicitly checking for keywords like "delivering pizzas" or by another robust method—to prevent processing ineligible claims.

  • Location: auto-insurance-claims-agentic-RAG/data/john.json, line 6
  • Action: Update claims processing logic to validate and possibly reject claims involving commercial activities.

Vehicle: 2022 Honda Civic LX Sedan
VIN: 2HGFE2F54NH123456
Principal Operator: John Smith
Usage: Personal
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⚠️ Potential issue

Note inconsistency between declaration and claim

While the policy declaration indicates "Usage: Personal", the claim in john.json describes the incident occurring while "delivering pizzas" which suggests commercial use. This inconsistency should be flagged in the claim processing logic as it may affect coverage eligibility.

Comment on lines +16 to +24
try:
decision, logs = process_claim(claim_json_path=args.file)

print("\n" + "="*50)
print("CLAIM DECISION:")
print(decision.model_dump_json(indent=2))
print("="*50)
except Exception as e:
print(f"Error processing claim: {str(e)}")
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🛠️ Refactor suggestion

Add file existence check and improve error handling

The code should verify that the specified file exists before attempting to process it. Also, consider adding more specific exception handling and providing a more detailed error message.

try:
+    import os
+    if not os.path.exists(args.file):
+        print(f"Error: File '{args.file}' not found")
+        return
+        
    decision, logs = process_claim(claim_json_path=args.file)
    
    print("\n" + "="*50)
    print("CLAIM DECISION:")
    print(decision.model_dump_json(indent=2))
    print("="*50)
-except Exception as e:
-    print(f"Error processing claim: {str(e)}")
+except FileNotFoundError as e:
+    print(f"File error: {str(e)}")
+except json.JSONDecodeError as e:
+    print(f"Invalid JSON format: {str(e)}")
+except Exception as e:
+    print(f"Error processing claim: {str(e)}")
+    import traceback
+    print(traceback.format_exc())
📝 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
try:
decision, logs = process_claim(claim_json_path=args.file)
print("\n" + "="*50)
print("CLAIM DECISION:")
print(decision.model_dump_json(indent=2))
print("="*50)
except Exception as e:
print(f"Error processing claim: {str(e)}")
try:
import os
if not os.path.exists(args.file):
print(f"Error: File '{args.file}' not found")
return
decision, logs = process_claim(claim_json_path=args.file)
print("\n" + "="*50)
print("CLAIM DECISION:")
print(decision.model_dump_json(indent=2))
print("="*50)
except FileNotFoundError as e:
print(f"File error: {str(e)}")
except json.JSONDecodeError as e:
print(f"Invalid JSON format: {str(e)}")
except Exception as e:
print(f"Error processing claim: {str(e)}")
import traceback
print(traceback.format_exc())

import streamlit as st
import json
import os
from insurance_claim_processor import process_claim, ClaimInfo
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🛠️ Refactor suggestion

Remove unused import ClaimInfo to address the Ruff (F401) warning.

Since ClaimInfo is never used, it is safe to remove:

-from insurance_claim_processor import process_claim, ClaimInfo
+from insurance_claim_processor import process_claim
📝 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
from insurance_claim_processor import process_claim, ClaimInfo
from insurance_claim_processor import process_claim
🧰 Tools
🪛 Ruff (0.8.2)

4-4: insurance_claim_processor.ClaimInfo imported but unused

Remove unused import: insurance_claim_processor.ClaimInfo

(F401)

Comment on lines +205 to +221
@step
async def finalize_decision(self, ctx: Context, ev: RecommendationEvent) -> DecisionEvent:
if self._verbose:
ctx.write_event_to_stream(LogEvent(msg=">> Finalizing Decision"))
claim_info = await ctx.get("claim_info")
rec = ev.recommendation
covered = "covered" in rec.recommendation_summary.lower() or (rec.settlement_amount is not None and rec.settlement_amount > 0)
deductible = rec.deductible if rec.deductible is not None else 0.0
recommended_payout = rec.settlement_amount if rec.settlement_amount else 0.0
decision = ClaimDecision(
claim_number=claim_info.claim_number,
covered=covered,
deductible=deductible,
recommended_payout=recommended_payout,
notes=rec.recommendation_summary
)
return DecisionEvent(decision=decision)
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🛠️ Refactor suggestion

Refine decision logic for partial coverage.

The covered boolean is derived from the presence of "covered" in the summary or non-zero settlement. Some partial coverage claims may have $0 recommended payout if the cost is below the deductible. Consider a more explicit check for coverage vs. payout to avoid confusion.

Comment on lines +147 to +157
async def generate_policy_queries(self, ctx: Context, ev: ClaimInfoEvent) -> PolicyQueryEvent:
if self._verbose:
ctx.write_event_to_stream(LogEvent(msg=">> Generating Policy Queries"))
prompt = ChatPromptTemplate.from_messages([("user", GENERATE_POLICY_QUERIES_PROMPT)])
queries = await self.llm.astructured_predict(
PolicyQueries,
prompt,
claim_info=ev.claim_info.model_dump_json()
)
return PolicyQueryEvent(queries=queries)

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🛠️ Refactor suggestion

Handle potential LLM response errors.

When using llm.astructured_predict, there's a chance the model could return malformed JSON or incomplete data. Consider adding fallback logic for partial or invalid responses, reducing risk of runtime errors.

 recommendation = await self.llm.astructured_predict(
     PolicyQueries,
     prompt,
     claim_info=ev.claim_info.model_dump_json()
 )
+if recommendation is None:
+    raise ValueError("Failed to retrieve policy queries from LLM response.")

Committable suggestion skipped: line range outside the PR's diff.

Comment on lines +8 to +9
import asyncio
from dotenv import load_dotenv
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🛠️ Refactor suggestion

Handle potential JSON parsing exceptions.

When loading JSON, consider wrapping the parsing in a try/except block to detect malformed files. Failing gracefully or providing diagnostic feedback can improve the user experience for non-technical users.

 def parse_claim(file_path: str) -> ClaimInfo:
     try:
         with open(file_path, "r") as f:
             data = json.load(f)
     except json.JSONDecodeError as e:
+        raise ValueError(f"Failed to parse the claim file '{file_path}': {str(e)}")
     return ClaimInfo.model_validate(data)

Committable suggestion skipped: line range outside the PR's diff.

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Actionable comments posted: 3

🧹 Nitpick comments (5)
auto-insurance-claims-agentic-RAG/app.py (5)

65-67: Ensure temporary file cleanup even if an exception occurs.

The temporary file might not be deleted if an exception occurs during processing. Consider using a try-finally block to ensure cleanup.

-            # Clean up temp file
-            if os.path.exists("temp_claim.json"):
-                os.remove("temp_claim.json")
+            # Clean up temp file
+            try:
+                if os.path.exists("temp_claim.json"):
+                    os.remove("temp_claim.json")
+            except Exception as e:
+                st.warning(f"Could not delete temporary file: {str(e)}")

28-31: Create the data directory if it doesn't exist.

The code checks if the 'data' directory exists but doesn't create it if it's missing. This could lead to confusion for new users.

    # Check for sample files in the data directory
-    if os.path.exists("data"):
+    data_dir = "data"
+    if not os.path.exists(data_dir):
+        os.makedirs(data_dir)
+        st.info(f"Created '{data_dir}' directory for sample claim files.")
+    
+    if os.path.exists(data_dir):
        sample_files = [f for f in os.listdir("data") if f.endswith(".json")]

42-45: Add file size validation for uploaded files.

The current implementation accepts any size of uploaded JSON file, which could be a potential security risk or cause memory issues.

    if process_uploaded and uploaded_file is not None:
+        # Validate file size (e.g., limit to 5MB)
+        if uploaded_file.size > 5 * 1024 * 1024:  # 5MB in bytes
+            st.error("File is too large. Please upload a file smaller than 5MB.")
+            return
+
        # Save uploaded file temporarily
        with open("temp_claim.json", "wb") as f:
            f.write(uploaded_file.getbuffer())

41-67: Refactor duplicate display logic into a reusable function.

There's duplicate code for displaying the decision and logs in all three processing paths. Consider extracting this into a helper function.

You could add a helper function at the beginning of the file:

def display_claim_results(decision, logs, success_message="Claim processed successfully!"):
    """Display claim processing results in a structured format."""
    st.success(success_message)
    
    # Create two columns
    col1, col2 = st.columns(2)
    
    with col1:
        st.subheader("Claim Decision")
        st.json(json.loads(decision.model_dump_json()))
    
    with col2:
        st.subheader("Processing Logs")
        for log in logs:
            st.text(log)

Then replace each occurrence of the display logic with a call to this function:

display_claim_results(decision, logs)

Or for the sample file case:

display_claim_results(decision, logs, f"Sample claim {selected_sample} processed successfully!")

Also applies to: 68-89, 105-136


17-19: Enhance file upload UI with additional guidance.

The current file upload interface could be improved with additional information about the expected JSON format to help users prepare their files correctly.

    st.subheader("Upload a claim file")
-    uploaded_file = st.file_uploader("Upload a claim JSON file", type=["json"])
+    uploaded_file = st.file_uploader("Upload a claim JSON file", type=["json"], 
+                                     help="Upload a JSON file containing claim details. The file should include fields such as claim_number, policy_number, claimant_name, etc.")
    process_uploaded = st.button("Process Uploaded File", key="process_uploaded", disabled=uploaded_file is None)
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  • auto-insurance-claims-agentic-RAG/app.py (1 hunks)
🧰 Additional context used
🪛 Ruff (0.8.2)
auto-insurance-claims-agentic-RAG/app.py

4-4: insurance_claim_processor.ClaimInfo imported but unused

Remove unused import: insurance_claim_processor.ClaimInfo

(F401)

🔇 Additional comments (1)
auto-insurance-claims-agentic-RAG/app.py (1)

4-4: Remove unused import ClaimInfo to address the Ruff (F401) warning.

Since ClaimInfo is never used in the file, it should be removed.

-from insurance_claim_processor import process_claim, ClaimInfo
+from insurance_claim_processor import process_claim
🧰 Tools
🪛 Ruff (0.8.2)

4-4: insurance_claim_processor.ClaimInfo imported but unused

Remove unused import: insurance_claim_processor.ClaimInfo

(F401)

Comment on lines +68 to +89
# Handle sample file processing
elif use_sample and selected_sample:
sample_path = os.path.join("data", selected_sample)

with st.spinner("Processing sample claim..."):
decision, logs = process_claim(claim_json_path=sample_path)

# Display results
st.success(f"Sample claim {selected_sample} processed successfully!")

# Create two columns
col1, col2 = st.columns(2)

with col1:
st.subheader("Claim Decision")
st.json(json.loads(decision.model_dump_json()))

with col2:
st.subheader("Processing Logs")
for log in logs:
st.text(log)

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🛠️ Refactor suggestion

Add error handling for sample claim processing.

Similar to the uploaded file processing, add try-except blocks to handle potential exceptions from process_claim.

    # Handle sample file processing
    elif use_sample and selected_sample:
        sample_path = os.path.join("data", selected_sample)
        
        with st.spinner("Processing sample claim..."):
-            decision, logs = process_claim(claim_json_path=sample_path)
-            
-            # Display results
-            st.success(f"Sample claim {selected_sample} processed successfully!")
-            
-            # Create two columns
-            col1, col2 = st.columns(2)
-            
-            with col1:
-                st.subheader("Claim Decision")
-                st.json(json.loads(decision.model_dump_json()))
-            
-            with col2:
-                st.subheader("Processing Logs")
-                for log in logs:
-                    st.text(log)
+            try:
+                decision, logs = process_claim(claim_json_path=sample_path)
+                
+                # Display results
+                st.success(f"Sample claim {selected_sample} processed successfully!")
+                
+                # Create two columns
+                col1, col2 = st.columns(2)
+                
+                with col1:
+                    st.subheader("Claim Decision")
+                    st.json(json.loads(decision.model_dump_json()))
+                
+                with col2:
+                    st.subheader("Processing Logs")
+                    for log in logs:
+                        st.text(log)
+            except Exception as e:
+                st.error(f"Error processing sample claim: {str(e)}")
📝 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
# Handle sample file processing
elif use_sample and selected_sample:
sample_path = os.path.join("data", selected_sample)
with st.spinner("Processing sample claim..."):
decision, logs = process_claim(claim_json_path=sample_path)
# Display results
st.success(f"Sample claim {selected_sample} processed successfully!")
# Create two columns
col1, col2 = st.columns(2)
with col1:
st.subheader("Claim Decision")
st.json(json.loads(decision.model_dump_json()))
with col2:
st.subheader("Processing Logs")
for log in logs:
st.text(log)
# Handle sample file processing
elif use_sample and selected_sample:
sample_path = os.path.join("data", selected_sample)
with st.spinner("Processing sample claim..."):
try:
decision, logs = process_claim(claim_json_path=sample_path)
# Display results
st.success(f"Sample claim {selected_sample} processed successfully!")
# Create two columns
col1, col2 = st.columns(2)
with col1:
st.subheader("Claim Decision")
st.json(json.loads(decision.model_dump_json()))
with col2:
st.subheader("Processing Logs")
for log in logs:
st.text(log)
except Exception as e:
st.error(f"Error processing sample claim: {str(e)}")

Comment on lines +105 to +136
if submit_form:
# Create claim data dictionary
claim_data = {
"claim_number": claim_number,
"policy_number": policy_number,
"claimant_name": claimant_name,
"date_of_loss": date_of_loss.strftime("%Y-%m-%d"),
"loss_description": loss_description,
"estimated_repair_cost": estimated_repair_cost
}

if vehicle_details:
claim_data["vehicle_details"] = vehicle_details

with st.spinner("Processing claim..."):
decision, logs = process_claim(claim_data=claim_data)

# Display results
st.success("Claim processed successfully!")

# Create two columns
col1, col2 = st.columns(2)

with col1:
st.subheader("Claim Decision")
st.json(json.loads(decision.model_dump_json()))

with col2:
st.subheader("Processing Logs")
for log in logs:
st.text(log)

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🛠️ Refactor suggestion

Add input validation and error handling for manual claim entry.

The manual entry form lacks input validation and error handling. Consider validating required fields and adding a try-except block around the process_claim call.

    if submit_form:
+        # Validate required fields
+        required_fields = [claim_number, policy_number, claimant_name, loss_description]
+        if any(not field for field in required_fields):
+            st.error("Please fill in all required fields.")
+            return
+
        # Create claim data dictionary
        claim_data = {
            "claim_number": claim_number,
            "policy_number": policy_number,
            "claimant_name": claimant_name,
            "date_of_loss": date_of_loss.strftime("%Y-%m-%d"),
            "loss_description": loss_description,
            "estimated_repair_cost": estimated_repair_cost
        }
        
        if vehicle_details:
            claim_data["vehicle_details"] = vehicle_details
        
        with st.spinner("Processing claim..."):
-            decision, logs = process_claim(claim_data=claim_data)
-            
-            # Display results
-            st.success("Claim processed successfully!")
-            
-            # Create two columns
-            col1, col2 = st.columns(2)
-            
-            with col1:
-                st.subheader("Claim Decision")
-                st.json(json.loads(decision.model_dump_json()))
-            
-            with col2:
-                st.subheader("Processing Logs")
-                for log in logs:
-                    st.text(log)
+            try:
+                decision, logs = process_claim(claim_data=claim_data)
+                
+                # Display results
+                st.success("Claim processed successfully!")
+                
+                # Create two columns
+                col1, col2 = st.columns(2)
+                
+                with col1:
+                    st.subheader("Claim Decision")
+                    st.json(json.loads(decision.model_dump_json()))
+                
+                with col2:
+                    st.subheader("Processing Logs")
+                    for log in logs:
+                        st.text(log)
+            except Exception as e:
+                st.error(f"Error processing claim: {str(e)}")
📝 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
if submit_form:
# Create claim data dictionary
claim_data = {
"claim_number": claim_number,
"policy_number": policy_number,
"claimant_name": claimant_name,
"date_of_loss": date_of_loss.strftime("%Y-%m-%d"),
"loss_description": loss_description,
"estimated_repair_cost": estimated_repair_cost
}
if vehicle_details:
claim_data["vehicle_details"] = vehicle_details
with st.spinner("Processing claim..."):
decision, logs = process_claim(claim_data=claim_data)
# Display results
st.success("Claim processed successfully!")
# Create two columns
col1, col2 = st.columns(2)
with col1:
st.subheader("Claim Decision")
st.json(json.loads(decision.model_dump_json()))
with col2:
st.subheader("Processing Logs")
for log in logs:
st.text(log)
if submit_form:
# Validate required fields
required_fields = [claim_number, policy_number, claimant_name, loss_description]
if any(not field for field in required_fields):
st.error("Please fill in all required fields.")
return
# Create claim data dictionary
claim_data = {
"claim_number": claim_number,
"policy_number": policy_number,
"claimant_name": claimant_name,
"date_of_loss": date_of_loss.strftime("%Y-%m-%d"),
"loss_description": loss_description,
"estimated_repair_cost": estimated_repair_cost
}
if vehicle_details:
claim_data["vehicle_details"] = vehicle_details
with st.spinner("Processing claim..."):
try:
decision, logs = process_claim(claim_data=claim_data)
# Display results
st.success("Claim processed successfully!")
# Create two columns
col1, col2 = st.columns(2)
with col1:
st.subheader("Claim Decision")
st.json(json.loads(decision.model_dump_json()))
with col2:
st.subheader("Processing Logs")
for log in logs:
st.text(log)
except Exception as e:
st.error(f"Error processing claim: {str(e)}")

Comment on lines +41 to +67
if process_uploaded and uploaded_file is not None:
# Save uploaded file temporarily
with open("temp_claim.json", "wb") as f:
f.write(uploaded_file.getbuffer())

with st.spinner("Processing claim..."):
decision, logs = process_claim(claim_json_path="temp_claim.json")

# Display results
st.success("Claim processed successfully!")

# Create two columns
col1, col2 = st.columns(2)

with col1:
st.subheader("Claim Decision")
st.json(json.loads(decision.model_dump_json()))

with col2:
st.subheader("Processing Logs")
for log in logs:
st.text(log)

# Clean up temp file
if os.path.exists("temp_claim.json"):
os.remove("temp_claim.json")

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🛠️ Refactor suggestion

Add error handling for the claim processing function.

The current implementation doesn't handle potential exceptions from process_claim, which could crash the application. Consider wrapping this in a try-except block to gracefully handle errors.

    if process_uploaded and uploaded_file is not None:
        # Save uploaded file temporarily
        with open("temp_claim.json", "wb") as f:
            f.write(uploaded_file.getbuffer())
        
        with st.spinner("Processing claim..."):
-            decision, logs = process_claim(claim_json_path="temp_claim.json")
-            
-            # Display results
-            st.success("Claim processed successfully!")
-            
-            # Create two columns
-            col1, col2 = st.columns(2)
-            
-            with col1:
-                st.subheader("Claim Decision")
-                st.json(json.loads(decision.model_dump_json()))
-            
-            with col2:
-                st.subheader("Processing Logs")
-                for log in logs:
-                    st.text(log)
+            try:
+                decision, logs = process_claim(claim_json_path="temp_claim.json")
+                
+                # Display results
+                st.success("Claim processed successfully!")
+                
+                # Create two columns
+                col1, col2 = st.columns(2)
+                
+                with col1:
+                    st.subheader("Claim Decision")
+                    st.json(json.loads(decision.model_dump_json()))
+                
+                with col2:
+                    st.subheader("Processing Logs")
+                    for log in logs:
+                        st.text(log)
+            except Exception as e:
+                st.error(f"Error processing claim: {str(e)}")
            
            # Clean up temp file
            if os.path.exists("temp_claim.json"):
                os.remove("temp_claim.json")
📝 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
if process_uploaded and uploaded_file is not None:
# Save uploaded file temporarily
with open("temp_claim.json", "wb") as f:
f.write(uploaded_file.getbuffer())
with st.spinner("Processing claim..."):
decision, logs = process_claim(claim_json_path="temp_claim.json")
# Display results
st.success("Claim processed successfully!")
# Create two columns
col1, col2 = st.columns(2)
with col1:
st.subheader("Claim Decision")
st.json(json.loads(decision.model_dump_json()))
with col2:
st.subheader("Processing Logs")
for log in logs:
st.text(log)
# Clean up temp file
if os.path.exists("temp_claim.json"):
os.remove("temp_claim.json")
if process_uploaded and uploaded_file is not None:
# Save uploaded file temporarily
with open("temp_claim.json", "wb") as f:
f.write(uploaded_file.getbuffer())
with st.spinner("Processing claim..."):
try:
decision, logs = process_claim(claim_json_path="temp_claim.json")
# Display results
st.success("Claim processed successfully!")
# Create two columns
col1, col2 = st.columns(2)
with col1:
st.subheader("Claim Decision")
st.json(json.loads(decision.model_dump_json()))
with col2:
st.subheader("Processing Logs")
for log in logs:
st.text(log)
except Exception as e:
st.error(f"Error processing claim: {str(e)}")
# Clean up temp file
if os.path.exists("temp_claim.json"):
os.remove("temp_claim.json")

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Actionable comments posted: 1

🧹 Nitpick comments (5)
auto-insurance-claims-agentic-RAG/README.md (5)

9-11: Specify Language in Fenced Code Block for Dependencies Installation.
For better readability and to meet markdownlint guidelines (MD040), add a language identifier (e.g., bash) to the fenced code block.

-   ```
-   pip install -r requirements.txt
-   ```
+   ```bash
+   pip install -r requirements.txt
+   ```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 markdownlint-cli2 (0.17.2)</summary>

9-9: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

</details>

</details>

---

`13-15`: **Add Language Specification for Environment File Copy Command.**  
Specify the language for the fenced code block to improve clarity. For instance, use `bash` as shown below:  
```diff
-   ```
-   cp .env.example .env
-   ```
+   ```bash
+   cp .env.example .env
+   ```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 markdownlint-cli2 (0.17.2)</summary>

13-13: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

</details>

</details>

---

`25-35`: **Directory Structure: Add Language Identifier to Fenced Block.**  
Specify a language identifier for the directory listing code block to enhance readability. For example, use `text`:  
```diff
-```
-data/
-  john.json
-  alice.json
-  # ... other claim files
-```
+```text
+data/
+  john.json
+  alice.json
+  # ... other claim files
+```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 markdownlint-cli2 (0.17.2)</summary>

29-29: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

</details>

</details>

---

`36-43`: **Command Line Tool Instructions: Enhance Code Block Readability.**  
Specify the language (e.g., `bash`) for the fenced code block in the command line example:  
```diff
-```
-python test_workflow.py --file data/john.json
-```
+```bash
+python test_workflow.py --file data/john.json
+```

<details>
<summary>🧰 Tools</summary>

<details>
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40-40: Fenced code blocks should have a language specified
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(MD040, fenced-code-language)

</details>

</details>

---

`44-53`: **Streamlit Web App Instructions: Add Code Block Language.**  
Include a language identifier for the command in the fenced code block to improve clarity:  
```diff
-```
-streamlit run app.py
-```
+```bash
+streamlit run app.py
+```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 markdownlint-cli2 (0.17.2)</summary>

48-48: Fenced code blocks should have a language specified
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(MD040, fenced-code-language)

</details>

</details>

</blockquote></details>

</blockquote></details>

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**Configuration used: CodeRabbit UI**
**Review profile: CHILL**
**Plan: Pro**

<details>
<summary>📥 Commits</summary>

Reviewing files that changed from the base of the PR and between 6884eb25f994ef8e63e9ec3daa1c1b9c0c3a70d6 and ce2a23ae6848158797b133c31f9ee51bed2f9edb.

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<summary>📒 Files selected for processing (1)</summary>

* `auto-insurance-claims-agentic-RAG/README.md` (1 hunks)

</details>

<details>
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<details>
<summary>🪛 markdownlint-cli2 (0.17.2)</summary>

<details>
<summary>auto-insurance-claims-agentic-RAG/README.md</summary>

9-9: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

---

13-13: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

---

29-29: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

---

40-40: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

---

48-48: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

</details>

</details>

</details>

<details>
<summary>🔇 Additional comments (5)</summary><blockquote>

<details>
<summary>auto-insurance-claims-agentic-RAG/README.md (5)</summary>

`1-3`: **Title and Introduction: Clear and Concise.**  
The title and introductory description effectively communicate the purpose of the application.

---

`5-17`: **Setup Instructions: Well-Structured.**  
The setup section clearly guides users through cloning the repository, installing dependencies, and configuring environment variables.

<details>
<summary>🧰 Tools</summary>

<details>
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9-9: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

---

13-13: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

</details>

</details>

---

`18-24`: **Required API Keys: Clear and Informative.**  
The section clearly lists all required API keys and configuration parameters, making it easy for users to set up their environment.

---

`54-60`: **Features Section: Informative and Well-Listed.**  
The features section clearly outlines the application's capabilities in an easy-to-read format.

---

`61-73`: **Sample Claim JSON Format: Correct and Well-Formatted.**  
The provided JSON example is properly formatted and serves as a good reference for the expected claim data structure.

</details>

</blockquote></details>

</details>

<!-- This is an auto-generated comment by CodeRabbit for review status -->

Comment on lines +74 to +84
## Sample claim decision

```json
{
"claim_number":"CLAIM-0001"
"covered":true
"deductible":0
"recommended_payout":0
"notes":"Collision is covered, subject to exclusions. Exclusion 1 applies as the vehicle was used to deliver pizzas for compensation."
}
```
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⚠️ Potential issue

Fix JSON Formatting in Sample Claim Decision.
The sample JSON for the claim decision is missing commas between key-value pairs, rendering it invalid. Please update it to the following valid JSON format:

-{
-"claim_number":"CLAIM-0001"
-"covered":true
-"deductible":0
-"recommended_payout":0
-"notes":"Collision is covered, subject to exclusions. Exclusion 1 applies as the vehicle was used to deliver pizzas for compensation."
-}
+{
+  "claim_number": "CLAIM-0001",
+  "covered": true,
+  "deductible": 0,
+  "recommended_payout": 0,
+  "notes": "Collision is covered, subject to exclusions. Exclusion 1 applies as the vehicle was used to deliver pizzas for compensation."
+}
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## Sample claim decision
```json
{
"claim_number":"CLAIM-0001"
"covered":true
"deductible":0
"recommended_payout":0
"notes":"Collision is covered, subject to exclusions. Exclusion 1 applies as the vehicle was used to deliver pizzas for compensation."
}
```
## Sample claim decision

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Actionable comments posted: 0

♻️ Duplicate comments (1)
auto-insurance-claims-agentic-RAG/README.md (1)

76-86: 🛠️ Refactor suggestion

Fix JSON Formatting for Sample Claim Decision

The sample claim decision JSON is invalid due to missing commas between key-value pairs. This could mislead users who use these samples as references. Please update the JSON to include proper commas.

-{
-"claim_number":"CLAIM-0001"
-"covered":true
-"deductible":0
-"recommended_payout":0
-"notes":"Collision is covered, subject to exclusions. Exclusion 1 applies as the vehicle was used to deliver pizzas for compensation."
-}
+{
+  "claim_number": "CLAIM-0001",
+  "covered": true,
+  "deductible": 0,
+  "recommended_payout": 0,
+  "notes": "Collision is covered, subject to exclusions. Exclusion 1 applies as the vehicle was used to deliver pizzas for compensation."
+}
🧹 Nitpick comments (5)
auto-insurance-claims-agentic-RAG/README.md (5)

11-13: Specify Language for Fenced Code Block (Dependencies Installation)

The fenced code block for installing dependencies lacks a language identifier. Adding one (e.g., bash) will improve syntax highlighting and help conform to markdown lint guidelines.

-   ```
-   pip install -r requirements.txt
-   ```
+   ```bash
+   pip install -r requirements.txt
+   ```
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)

11-11: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


15-17: Specify Language for Fenced Code Block (Copy .env File)

The fenced code block for copying the .env.example file should include a language identifier (e.g., bash) for clarity and consistency.

-   ```
-   cp .env.example .env
-   ```
+   ```bash
+   cp .env.example .env
+   ```
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)

15-15: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


27-36: Directory Structure Instructions

The instructions regarding the data directory and sample JSON files are clear. For consistency and enhanced readability, consider adding a language identifier (e.g., text) to the fenced code block that displays the directory structure.

-```
-data/
-  john.json
-  alice.json
-  # ... other claim files
-```
+```text
+data/
+  john.json
+  alice.json
+  # ... other claim files
+```
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)

31-31: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


38-44: Command Line Tool Example

The command line example is clear, but the fenced code block (showing the command to test a claim) would benefit from a language identifier (e.g., bash) to improve readability.

-```
-python test_workflow.py --file data/john.json
-```
+```bash
+python test_workflow.py --file data/john.json
+```
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)

42-42: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


46-52: Streamlit App Run Example

The instructions for running the Streamlit web app are well-written. Adding a language identifier (e.g., bash) to the fenced code block will enhance clarity.

-```
-streamlit run app.py
-```
+```bash
+streamlit run app.py
+```
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)

50-50: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between ce2a23a and e3bf387.

⛔ Files ignored due to path filters (1)
  • auto-insurance-claims-agentic-RAG/images/Architecture_diagram.png is excluded by !**/*.png
📒 Files selected for processing (1)
  • auto-insurance-claims-agentic-RAG/README.md (1 hunks)
🧰 Additional context used
🪛 LanguageTool
auto-insurance-claims-agentic-RAG/README.md

[uncategorized] ~10-~10: Possible missing preposition found.
Context: ... ## Setup 1. Clone this repository 2. Install the required dependencies: ``` pi...

(AI_HYDRA_LEO_MISSING_TO)

🪛 markdownlint-cli2 (0.17.2)
auto-insurance-claims-agentic-RAG/README.md

11-11: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


15-15: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


31-31: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


42-42: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


50-50: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)

🔇 Additional comments (6)
auto-insurance-claims-agentic-RAG/README.md (6)

1-2: Image Reference Check

The architecture diagram image is referenced correctly. Please ensure that the image exists at ./images/Architecture_diagram.png in the repository.


3-6: Introduction and Overview

The title and introductory description clearly articulate the application's purpose and capabilities (processing auto insurance claims via LlamaIndex and Gemini LLM in both CLI and Streamlit modes).


7-10: Setup Instructions Clarity

The setup steps (cloning the repository and installing dependencies) are straightforward and well-sequenced.

🧰 Tools
🪛 LanguageTool

[uncategorized] ~10-~10: Possible missing preposition found.
Context: ... ## Setup 1. Clone this repository 2. Install the required dependencies: ``` pi...

(AI_HYDRA_LEO_MISSING_TO)


20-26: API Keys Explanation

The “Required API Keys” section is clearly outlined, providing users with the necessary details about which API keys and identifiers need to be configured.


56-62: Features Listing

The features section succinctly lists the capabilities of the application. The information is clear and adequately highlights important functions.


63-75: Sample Claim JSON Format

The sample claim JSON is correctly structured and already includes a language identifier (json), which aids in clarity and proper syntax highlighting.

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