[System]
You are a model with advanced reasoning capabilities. When answering questions, please structure your thinking in the following format:

First, break down your reasoning into sequential steps using these tags:

    <thought_1>Your first step of reasoning goes here...</thought_1>
    <thought_2>Your second step of reasoning goes here...</thought_2>
    ...
    <thought_n>Your final step of reasoning goes here...</thought_n>
You should think deeply for cases where theres more reasoning to be done.

After your reasoning steps, conclude with ONE of these output formats:

Either a tool call:
<tool_call>
    <tool_name>name_of_tool</tool_name>
    <parameters>
        <parameter>
            <parameter_name>param1</parameter_name>
            <parameter_value>value1</parameter_value>
        </parameter>
        <!-- Add more parameters as needed -->
    </parameters>
</tool_call>

Or a text response:
<text_output>Your final answer or response goes here...</text_output>

IMPORTANT: When making tool calls, follow these rules:
1. Use EXACTLY the format shown above with proper XML tags
2. Make sure all XML tags are properly closed
3. For parameter values that are strings, provide the raw string without quotes
4. For parameter values that are arrays or objects, format them as valid JSON
5. Do not add any extra text or explanations inside the tool_call tags
Focus on the tool make sure to pass all parameters and valid values

Think deep for complex json types and try to be accurate in one try

Available tools:
    <tool>
        <type>function</type>
        <name>step_breakdown</name>
        <description>Tool to breakdown the steps of insertion and search into the graph database
This tool will return to you the results of search queries so you can update the insertion steps</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>insertion_steps</name>
                <type>array</type>
                <description>Insertion Steps</description>
                <items>
                    <type>string</type>
                </items>
            </property>
            <property>
                <name>search_steps</name>
                <type>array</type>
                <description>Search Steps</description>
                <items>
                    <type>string</type>
                </items>
            </property>
            </properties>
            <required>insertion_steps, search_steps</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>insert_into_graph</name>
        <description>Tool to insert info as per final insertion steps
This tool will return to you the results of insertion agents once it has inserted the info into the graph database
Pass the final insertion steps in info as to what changes to do for the info to be inserted is it updating / inserting / deleting , pass in details for each step</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>final_insertion_steps</name>
                <type>array</type>
                <description>Final Insertion Steps</description>
                <items>
                    <type>string</type>
                </items>
            </property>
            </properties>
            <required>final_insertion_steps</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>retrieve_ledger</name>
        <description>Tool to retrieve all the entities and their properties from the graph database.
Call this to to get info on the current state of the graph database initially</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>chain_of_thought</name>
                <type>string</type>
                <description>Chain Of Thought</description>
            </property>
            </properties>
            <required>chain_of_thought</required>
        </parameters>
    </tool>

 You must strictly adhere to the data types specified for each parameter in the tool calls. If a parameter is an array, format it as an array. If it's a string, provide a string. If it's an object, provide a properly structured object. Pay close attention to required fields and ensure they are always included in your response. Follow the exact structure defined in the tool specification.<user_specific_instructions>
            You are an Orchestration Agent responsible for managing information insertion and updates in a graph-based knowledge database. Your primary role is to coordinate between search and insertion operations to efficiently maintain the graph's integrity and structure.
            - Use the domain and example queries to guide you on the task but the main point is to create a comprehensive knowledge database capable of answering any user question about credit cards so if you find extra info that is not in the domain or example queries but is relevant to answering the user question about cards you should add it to the . You will get data from diverse sources and you need to make sure to add all that info and link it to the correct nodes and relationships.

            Domain
            Extract comprehensive credit card knowledge covering approval requirements across credit score ranges, issuer-specific policies and processing timeframes, card accessibility for various credit profiles, initial and potential credit limits, secured card deposit requirements, credit building effectiveness and reporting practices, fee structures and APR ranges, optimal usage strategies for building credit, and direct comparisons between similar cards, prioritizing quantitative data and comparative information to answer consumer questions about which cards they can qualify for, how quickly they can receive them, what limits they can expect, and how effectively cards will help improve their credit profiles, while also capturing specialized information about store cards, student cards, instant approval options, income verification methods, minimum payment calculations, card delivery timeframes, and specific rules or restrictions that might affect approval odds or account management, incorporating insights from customer reviews, expert opinions, and influencer recommendations to provide balanced perspectives on real-world experiences with different cards and issuers, including specific customer testimonials, detailed rewards program mechanics such as rotating category examples and spending limits, payment allocation policies, digital access eligibility requirements, comprehensive terms and conditions for promotional offers, and footnote details that clarify important limitations or exceptions to advertised features, card upgrade/downgrade paths between products within issuer families, international usage details including foreign transaction considerations and global acceptance, application decision timeframes across different issuers, co-branded card relationships and their unique benefits, card member tiers and status levels, special demographic eligibility factors beyond typical credit criteria, authorized user policies and their implications, card-specific customer service options such as dedicated service channels or concierge benefits, and fraud protection effectiveness including security features, dispute resolution processes, and real-world reliability of fraud detection systems.

            # Example Queries
            - "What credit score do I need to get a credit card from my bank?"
            - "What credit card is the easiest to get with bad credit?"
            - "Are Chase bank credit cards hard to get and what is the 5/24 rule?"
            - "How fast can I get a credit card from Amex vs. other banks?"
            - "What credit card has a $5000 limit with bad credit?"
            - "Which card helps build credit fastest and how much of my limit should I use?"
            - "How do credit cards verify income and can I get one without proof?"
            - "What is the minimum payment on a $2000 balance and should I pay in full?"
            - "Which store credit cards are easiest to get with a 550 score?"
            - "How long does it take to improve my credit score from 600 to 700?"

            Available Tools

            retrieve_ledger: Provides the graph database schema
            insert_into_graph: Executes the final insertion operations

            Core Responsibilities

            Schema Analysis

            Retrieve and analyze the graph database schema using retrieve_ledger
            Understand existing entity types, relationships, and properties

            Information Processing

            Break down new information into logical insertion phases
            Focus on capturing essential information rather than exhaustive details
            Maintain generic entity types (e.g., Person, Organization, Location) rather than specific instances

            Search Coordination

            Generate natural language search queries for the Search Agent
            Queries should be broad enough to find relevant existing nodes
            Example: "Find organizations mentioned in technology sector" rather than specific Neo4j syntax

            Insertion Planning

            Create consolidated, high-impact insertion steps
            Each step should handle multiple related operations simultaneously
            Aim for the minimum number of steps needed to capture the essential information

            Guidelines for Graph Operations
            Entity Creation
            - We will be focusing on creating a comprehensive credit card knowledge database capable of answering any user question about credit cards
            - Prefer generic entity types over specific instances
            - Valid examples: `FinancialInstitution`, `CardNetwork`, `CreditCard`, `RewardsProgram`, `RegulatoryBody`, `CreditReportingAgency`
            - Avoid specific instances: "Chase", "Visa", "Apple Card", "FICO"

            Relationship Management

            - Use general relationship types that can be reused and do not make redundant relationships
            - Batch related relationships into single operations
            - Create relationship chains that capture multiple connections at once

            Property Handling

            - Store only relevant properties that add significant value
            - Batch similar property updates together
            - Avoid storing redundant or derivable information
            - Ensure that a property named updated exists for all nodes and its default value is false. This will be used to track updates
            - Ensure that the following properties are added for all nodes if provided:
                - Card image link
                - Card applicatin link
                - Credit score
                - Name of Card

            Workflow Steps

            Schema Review

            Get current schema structure
            Identify existing entity types and relationships

            Content Analysis

            Break down new information into essential components
            Group related information for batch processing

            Search Phase

            Generate broad search queries for existing relevant nodes
            Wait for Search Agent results
            Also make sure as per content you do a broad search , and for similar info do same search in same query

            Insertion Planning

            Create minimal, high-impact insertion steps
            Each step should handle multiple operations where possible
            Aim for 2-4 final steps that cover all necessary operations

            Final Execution

            Provide consolidated steps for the Insertion Agent
            Each step should maximize the amount of information inserted
            Use insert_into_graph for final execution

            Output Format
            For each operation, provide:

            Search Queries:
            CopyQuery 1: [Natural language description covering multiple related entities]
            Query 2: [Natural language description for another group of entities]

            Insertion Steps (Minimize to 2-4 total steps):
            CopyStep 1: [Comprehensive operation handling multiple entities and relationships]
            - Entity Groups: [Multiple related entities]
            - Batch Properties: [Properties for all entities]
            - Relationship Chains: [Multiple relationships to be created]

            Step 2: [Next consolidated operation]
            ...

            Remember:

            Maximize the impact of each insertion step
            Combine related operations into single steps
            Aim for 2-4 final steps that capture all essential information
            Prioritize efficiency over granularity
            Focus on batch operations rather than individual updates
            Each step should handle multiple entities, properties, and relationships simultaneously
        </user_specific_instructions>

[User]
Your task is to insert info for content
 content: {
  "4": {
    "description": "Digital Nomad Flex Card from Remote Worker Banking has no foreign transaction fees, offers 3% back on coworking space memberships, and provides global wifi hotspot access. The card has a $75 annual fee and requires a minimum monthly spending of $1,000. The Nomad Miles rewards program allows points to be used for airline tickets, accommodation, or digital productivity tools."
  }
}

[Assistant]
<thought_1>First, I need to retrieve the current graph database schema to understand what entities, relationships, and properties exist. This will help me determine how to integrate the new credit card information.</thought_1><thought_2>After understanding the schema, I'll need to plan how to represent this Digital Nomad Flex Card. I'll likely need nodes for the card itself, the issuing bank (Remote Worker Banking), and possibly the rewards program (Nomad Miles).</thought_2><thought_3>I'll need to create search queries to check if any of these entities already exist in the database before creating new ones.</thought_3><tool_call>
    <tool_name>retrieve_ledger</tool_name>
    <parameters>
        <parameter>
            <parameter_name>chain_of_thought</parameter_name>
            <parameter_value>Retrieving the current state of the graph database to understand its structure before planning the insertion of the Digital Nomad Flex Card information.</parameter_value>
        </parameter>
    </parameters>
</tool_call>

[User]
Result from retrieve_ledger tool
: Graph Database Schema:

NODES:
- Label: CardIssuer
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CardIssuer
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CardIssuer
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CardNetwork
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CardNetwork
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CardNetwork
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, recommended_credit_score, last_synced, name, type
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, recommended_credit_score, last_synced, name, type
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, recommended_credit_score, last_synced, name, type
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, additional_info, description, last_synced, name
- Label: Feature, APRFeature
  Properties: in_zeroentropy, end_date, ze_doc_id, updated, description, last_synced, name, transfer_fee
- Label: Feature, SecurityFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, additional_info, description, last_synced, name
- Label: Feature, APRFeature
  Properties: in_zeroentropy, end_date, ze_doc_id, updated, description, last_synced, name, transfer_fee
- Label: Feature, SecurityFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, TravelFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, additional_info, description, last_synced, name
- Label: Feature, ProtectionFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: FinancialDetail
  Properties: foreign_transaction_fee, in_zeroentropy, application_process, ze_doc_id, updated, last_synced, cash_advance_fee, balance_transfer_fee, credit_limit_range, minimum_income_requirement, standard_apr_range
- Label: FinancialDetail
  Properties: foreign_transaction_fee, in_zeroentropy, application_process, ze_doc_id, updated, last_synced, cash_advance_fee, balance_transfer_fee, credit_limit_range, minimum_income_requirement, standard_apr_range
- Label: FinancialDetail
  Properties: foreign_transaction_fee, in_zeroentropy, application_process, ze_doc_id, updated, last_synced, cash_advance_fee, balance_transfer_fee, credit_limit_range, minimum_income_requirement, standard_apr_range
- Label: CustomerReview
  Properties: in_zeroentropy, ze_doc_id, total_reviews, updated, last_synced, last_updated, rating, representative_review
- Label: CustomerReview
  Properties: in_zeroentropy, ze_doc_id, total_reviews, updated, last_synced, last_updated, rating, representative_review
- Label: CustomerReview
  Properties: in_zeroentropy, ze_doc_id, total_reviews, updated, last_synced, last_updated, rating, representative_review
- Label: Acceptance
  Properties: in_zeroentropy, acceptance_rate, card_designs, ze_doc_id, updated, last_synced, digital_wallet_compatible
- Label: Acceptance
  Properties: in_zeroentropy, acceptance_rate, card_designs, ze_doc_id, updated, last_synced, digital_wallet_compatible
- Label: Acceptance
  Properties: in_zeroentropy, acceptance_rate, card_designs, ze_doc_id, updated, last_synced, digital_wallet_compatible
- Label: SpecialOffer
  Properties: in_zeroentropy, end_date, ze_doc_id, updated, description, last_synced, name
- Label: SpecialOffer
  Properties: in_zeroentropy, end_date, ze_doc_id, updated, description, last_synced, name
- Label: SpecialOffer
  Properties: in_zeroentropy, end_date, ze_doc_id, updated, description, last_synced, name
- Label: CardIssuer
  Properties: in_zeroentropy, updated, last_synced, name
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, updated, recommended_credit_score, last_synced, name, type
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, TravelFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, ProtectionFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, additional_info, description, last_synced, name
- Label: FinancialDetail
  Properties: in_zeroentropy, application_process, updated, last_synced, credit_limit_range, minimum_income_requirement, standard_apr_range
- Label: CardIssuer
  Properties: in_zeroentropy, updated, last_synced, name
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, updated, last_synced, name, type
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: FinancialDetail
  Properties: foreign_transaction_fee, in_zeroentropy, application_process, updated, last_synced, cash_advance_fee, balance_transfer_fee, credit_limit_range, minimum_income_requirement, standard_apr_range
- Label: FinancialDetail
  Properties: foreign_transaction_fee, in_zeroentropy, application_process, updated, last_synced, cash_advance_fee, balance_transfer_fee, credit_limit_range, minimum_income_requirement, standard_apr_range
- Label: CardIssuer
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, last_synced, name, type
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: FinancialDetail
  Properties: in_zeroentropy, application_process, ze_doc_id, updated, last_synced, credit_limit_range, standard_apr_range
- Label: SpecialOffer
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name

RELATIONSHIPS:
- Type: ISSUED_BY
- Type: OPERATES_ON
- Type: HAS_FEATURE
- Type: HAS_FINANCIAL_DETAILS
- Type: HAS_REVIEWS
- Type: HAS_ACCEPTANCE_INFO
- Type: OFFERS_PROMOTION

[Assistant]
<thought_1>Now that I have the schema information, I can see the database structure for credit card information. The main entities I need to work with are CardIssuer, CreditCard, Feature (with subtypes like RewardFeature and TravelFeature), and FinancialDetail.</thought_1><thought_2>Before inserting, I should check if any of these entities already exist in the database. Let me create search steps to check for the existence of "Remote Worker Banking" and "Digital Nomad Flex Card".</thought_2><tool_call>
    <tool_name>step_breakdown</tool_name>
    <parameters>
        <parameter>
            <parameter_name>insertion_steps</parameter_name>
            <parameter_value>["Create a CardIssuer node for 'Remote Worker Banking' with properties name='Remote Worker Banking', updated=false", "Create a CreditCard node for 'Digital Nomad Flex Card' with properties name='Digital Nomad Flex Card', type='Travel', annual_fee=75, updated=false", "Create RewardFeature nodes for the card's benefits: 1) name='No Foreign Transaction Fees', description='Card has no foreign transaction fees', updated=false, 2) name='Coworking Cashback', description='3% back on coworking space memberships', updated=false, 3) name='Global Wifi Access', description='Provides global wifi hotspot access', updated=false", "Create a RewardFeature node for 'Nomad Miles' with properties name='Nomad Miles', description='Rewards program allowing points to be used for airline tickets, accommodation, or digital productivity tools', updated=false", "Create a FinancialDetail node with properties foreign_transaction_fee='0%', minimum_income_requirement='$1,000 monthly spending', standard_apr_range='Not specified', updated=false", "Create ISSUED_BY relationship between 'Digital Nomad Flex Card' and 'Remote Worker Banking'", "Create HAS_FEATURE relationships between 'Digital Nomad Flex Card' and all feature nodes", "Create HAS_FINANCIAL_DETAILS relationship between 'Digital Nomad Flex Card' and the FinancialDetail node"]</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>search_steps</parameter_name>
            <parameter_value>["Find CardIssuer node with name 'Remote Worker Banking'", "Find CreditCard node with name 'Digital Nomad Flex Card'", 'Find RewardFeature nodes related to foreign transaction fees, coworking benefits, or wifi access', "Find RewardFeature node with name 'Nomad Miles'"]</parameter_value>
        </parameter>
    </parameters>
</tool_call>

[User]
Result from step_breakdown tool
: Error processing steps: Tool exceeded max retries count of 1

[Assistant]
<thought_1>I received an error while trying to use the step_breakdown tool. Let me try a more concise approach with fewer search and insertion steps to avoid overwhelming the system.</thought_1><thought_2>I'll simplify my search steps to focus on just the most important entities: the card issuer and the credit card itself. For insertion steps, I'll consolidate operations to reduce the number of steps.</thought_2><thought_3>The graph schema shows we have the necessary node types: CardIssuer, CreditCard, Feature (with subtypes like RewardFeature and TravelFeature), and FinancialDetail. I need to make sure my insertion steps conform to this schema.</thought_3><tool_call>
    <tool_name>step_breakdown</tool_name>
    <parameters>
        <parameter>
            <parameter_name>insertion_steps</parameter_name>
            <parameter_value>['Create nodes and relationships for the Digital Nomad Flex Card and related entities']</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>search_steps</parameter_name>
            <parameter_value>["Find CardIssuer node with name 'Remote Worker Banking'", "Find CreditCard node with name 'Digital Nomad Flex Card'"]</parameter_value>
        </parameter>
    </parameters>
</tool_call>

[User] Result from tool: After conducting multiple searches using different techniques, I couldn't find any CardIssuer node with the name 'Remote Worker Banking' in the database.\n\nI searched using:\n1. Exact phrase search\n2. Filtered search on CardIssuer nodes\n3. Vector semantic search\n4. Wildcard searches for \"Remote\" and \"Worker\"\n5. A complete listing of all CardIssuers in the database\n\nThe list of all CardIssuers in the database includes:\n- Gourmet Financial\n- Summit Financial Group\n- Discover Financial Services\n- Elevate Financial\n- Sustainable Banking Co.\n\nNone of these match or resemble 'Remote Worker Banking'. This CardIssuer does not appear to exist in the current database.

[Assistant]
<thought_1>Based on the search results, neither "Remote Worker Banking" nor "Digital Nomad Flex Card" exists in the database yet. This means I need to create both entities along with their associated features, relationships, and financial details.</thought_1><thought_2>Now I'll create a comprehensive set of insertion steps that follows the database schema and captures all the information about the Digital Nomad Flex Card. I'll consolidate these into logical groupings to minimize the number of steps.</thought_2><tool_call>
    <tool_name>insert_into_graph</tool_name>
    <parameters>
        <parameter>
            <parameter_name>final_insertion_steps</parameter_name>
            <parameter_value>["Step 1: Create main entities - Create a CardIssuer node with properties {name: 'Remote Worker Banking', updated: false, last_synced: current_timestamp}. Create a CreditCard node with properties {name: 'Digital Nomad Flex Card', type: 'Travel', annual_fee: 75, updated: false, last_synced: current_timestamp}. Create a ISSUED_BY relationship from the CreditCard to the CardIssuer.", "Step 2: Create card features - Create RewardFeature nodes: 1) {name: 'No Foreign Transaction Fees', description: 'Card has no foreign transaction fees', updated: false, last_synced: current_timestamp}, 2) {name: 'Coworking Space Cashback', description: '3% back on coworking space memberships', updated: false, last_synced: current_timestamp}. Create TravelFeature node: {name: 'Global Wifi Hotspot Access', description: 'Provides global wifi hotspot access for digital nomads', updated: false, last_synced: current_timestamp}. Create RewardFeature node: {name: 'Nomad Miles Program', description: 'Rewards program allowing points to be used for airline tickets, accommodation, or digital productivity tools', updated: false, last_synced: current_timestamp}. Create HAS_FEATURE relationships from the CreditCard to each feature node.", "Step 3: Create financial details - Create a FinancialDetail node with properties {foreign_transaction_fee: '0%', minimum_income_requirement: '$1,000 monthly spending', standard_apr_range: 'Not specified', updated: false, last_synced: current_timestamp}. Create a HAS_FINANCIAL_DETAILS relationship from the CreditCard to the FinancialDetail node."]</parameter_value>
        </parameter>
    </parameters>
</tool_call>


[System]
You are a model with advanced reasoning capabilities. When answering questions, please structure your thinking in the following format:

First, break down your reasoning into sequential steps using these tags:

    <thought_1>Your first step of reasoning goes here...</thought_1>
    <thought_2>Your second step of reasoning goes here...</thought_2>
    ...
    <thought_n>Your final step of reasoning goes here...</thought_n>
You should think deeply for cases where theres more reasoning to be done.

After your reasoning steps, conclude with ONE of these output formats:

Either a tool call:
<tool_call>
    <tool_name>name_of_tool</tool_name>
    <parameters>
        <parameter>
            <parameter_name>param1</parameter_name>
            <parameter_value>value1</parameter_value>
        </parameter>
        <!-- Add more parameters as needed -->
    </parameters>
</tool_call>

Or a text response:
<text_output>Your final answer or response goes here...</text_output>

IMPORTANT: When making tool calls, follow these rules:
1. Use EXACTLY the format shown above with proper XML tags
2. Make sure all XML tags are properly closed
3. For parameter values that are strings, provide the raw string without quotes
4. For parameter values that are arrays or objects, format them as valid JSON
5. Do not add any extra text or explanations inside the tool_call tags
Focus on the tool make sure to pass all parameters and valid values

Available tools:
    <tool>
        <type>function</type>
        <name>book_reservation</name>
        <description>Book a reservation.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>user_id</name>
                <type>string</type>
                <description>The ID of the user to book the reservation, such as 'sara_doe_496'.</description>
            </property>
            <property>
                <name>origin</name>
                <type>string</type>
                <description>The IATA code for the origin city, such as 'SFO'.</description>
            </property>
            <property>
                <name>destination</name>
                <type>string</type>
                <description>The IATA code for the destination city, such as 'JFK'.</description>
            </property>
            <property>
                <name>flight_type</name>
                <type>string</type>
                <enum>one_way, round_trip</enum>
            </property>
            <property>
                <name>cabin</name>
                <type>string</type>
                <enum>basic_economy, economy, business</enum>
            </property>
            <property>
                <name>flights</name>
                <type>array</type>
                <description>An array of objects containing details about each piece of flight.</description>
                <items>
                    <type>object</type>
                    <properties>
                        <property>
                            <name>flight_number</name>
                            <type>string</type>
                            <description>Flight number, such as 'HAT001'.</description>
                        </property>
                        <property>
                            <name>date</name>
                            <type>string</type>
                            <description>The date for the flight in the format 'YYYY-MM-DD', such as '2024-05-01'.</description>
                        </property>
                    </properties>
                    <required>flight_number, date</required>
                </items>
            </property>
            <property>
                <name>passengers</name>
                <type>array</type>
                <description>An array of objects containing details about each passenger.</description>
                <items>
                    <type>object</type>
                    <properties>
                        <property>
                            <name>first_name</name>
                            <type>string</type>
                            <description>The first name of the passenger, such as 'Noah'.</description>
                        </property>
                        <property>
                            <name>last_name</name>
                            <type>string</type>
                            <description>The last name of the passenger, such as 'Brown'.</description>
                        </property>
                        <property>
                            <name>dob</name>
                            <type>string</type>
                            <description>The date of birth of the passenger in the format 'YYYY-MM-DD', such as '1990-01-01'.</description>
                        </property>
                    </properties>
                    <required>first_name, last_name, dob</required>
                </items>
            </property>
            <property>
                <name>payment_methods</name>
                <type>array</type>
                <description>An array of objects containing details about each payment method.</description>
                <items>
                    <type>object</type>
                    <properties>
                        <property>
                            <name>payment_id</name>
                            <type>string</type>
                            <description>The payment id stored in user profile, such as 'credit_card_7815826', 'gift_card_7815826', 'certificate_7815826'.</description>
                        </property>
                        <property>
                            <name>amount</name>
                            <type>number</type>
                            <description>The amount to be paid.</description>
                        </property>
                    </properties>
                    <required>payment_id, amount</required>
                </items>
            </property>
            <property>
                <name>total_baggages</name>
                <type>integer</type>
                <description>The total number of baggage items included in the reservation.</description>
            </property>
            <property>
                <name>nonfree_baggages</name>
                <type>integer</type>
                <description>The number of non-free baggage items included in the reservation.</description>
            </property>
            <property>
                <name>insurance</name>
                <type>string</type>
                <enum>yes, no</enum>
            </property>
            </properties>
            <required>user_id, origin, destination, flight_type, cabin, flights, passengers, payment_methods, total_baggages, nonfree_baggages, insurance</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>calculate</name>
        <description>Calculate the result of a mathematical expression.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>expression</name>
                <type>string</type>
                <description>The mathematical expression to calculate, such as '2 + 2'. The expression can contain numbers, operators (+, -, *, /), parentheses, and spaces.</description>
            </property>
            </properties>
            <required>expression</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>cancel_reservation</name>
        <description>Cancel the whole reservation.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>reservation_id</name>
                <type>string</type>
                <description>The reservation ID, such as 'ZFA04Y'.</description>
            </property>
            </properties>
            <required>reservation_id</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>get_reservation_details</name>
        <description>Get the details of a reservation.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>reservation_id</name>
                <type>string</type>
                <description>The reservation id, such as '8JX2WO'.</description>
            </property>
            </properties>
            <required>reservation_id</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>get_user_details</name>
        <description>Get the details of an user, including their reservations.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>user_id</name>
                <type>string</type>
                <description>The user id, such as 'sara_doe_496'.</description>
            </property>
            </properties>
            <required>user_id</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>list_all_airports</name>
        <description>List all airports and their cities.</description>
        <parameters>
            <type>object</type>
            <properties>
            </properties>
            <required></required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>search_direct_flight</name>
        <description>Search direct flights between two cities on a specific date.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>origin</name>
                <type>string</type>
                <description>The origin city airport in three letters, such as 'JFK'.</description>
            </property>
            <property>
                <name>destination</name>
                <type>string</type>
                <description>The destination city airport in three letters, such as 'LAX'.</description>
            </property>
            <property>
                <name>date</name>
                <type>string</type>
                <description>The date of the flight in the format 'YYYY-MM-DD', such as '2024-01-01'.</description>
            </property>
            </properties>
            <required>origin, destination, date</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>search_onestop_flight</name>
        <description>Search direct flights between two cities on a specific date.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>origin</name>
                <type>string</type>
                <description>The origin city airport in three letters, such as 'JFK'.</description>
            </property>
            <property>
                <name>destination</name>
                <type>string</type>
                <description>The destination city airport in three letters, such as 'LAX'.</description>
            </property>
            <property>
                <name>date</name>
                <type>string</type>
                <description>The date of the flight in the format 'YYYY-MM-DD', such as '2024-05-01'.</description>
            </property>
            </properties>
            <required>origin, destination, date</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>send_certificate</name>
        <description>Send a certificate to a user. Be careful!</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>user_id</name>
                <type>string</type>
                <description>The ID of the user to book the reservation, such as 'sara_doe_496'.</description>
            </property>
            <property>
                <name>amount</name>
                <type>number</type>
                <description>Certificate amount to send.</description>
            </property>
            </properties>
            <required>user_id, amount</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>think</name>
        <description>Use the tool to think about something. It will not obtain new information or change the database, but just append the thought to the log. Use it when complex reasoning is needed.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>thought</name>
                <type>string</type>
                <description>A thought to think about.</description>
            </property>
            </properties>
            <required>thought</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>transfer_to_human_agents</name>
        <description>Transfer the user to a human agent, with a summary of the user's issue. Only transfer if the user explicitly asks for a human agent, or if the user's issue cannot be resolved by the agent with the available tools.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>summary</name>
                <type>string</type>
                <description>A summary of the user's issue.</description>
            </property>
            </properties>
            <required>summary</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>update_reservation_baggages</name>
        <description>Update the baggage information of a reservation.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>reservation_id</name>
                <type>string</type>
                <description>The reservation ID, such as 'ZFA04Y'.</description>
            </property>
            <property>
                <name>total_baggages</name>
                <type>integer</type>
                <description>The updated total number of baggage items included in the reservation.</description>
            </property>
            <property>
                <name>nonfree_baggages</name>
                <type>integer</type>
                <description>The updated number of non-free baggage items included in the reservation.</description>
            </property>
            <property>
                <name>payment_id</name>
                <type>string</type>
                <description>The payment id stored in user profile, such as 'credit_card_7815826', 'gift_card_7815826', 'certificate_7815826'.</description>
            </property>
            </properties>
            <required>reservation_id, total_baggages, nonfree_baggages, payment_id</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>update_reservation_flights</name>
        <description>Update the flight information of a reservation.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>reservation_id</name>
                <type>string</type>
                <description>The reservation ID, such as 'ZFA04Y'.</description>
            </property>
            <property>
                <name>cabin</name>
                <type>string</type>
                <enum>basic_economy, economy, business</enum>
            </property>
            <property>
                <name>flights</name>
                <type>array</type>
                <description>An array of objects containing details about each piece of flight in the ENTIRE new reservation. Even if the a flight segment is not changed, it should still be included in the array.</description>
                <items>
                    <type>object</type>
                    <properties>
                        <property>
                            <name>flight_number</name>
                            <type>string</type>
                            <description>Flight number, such as 'HAT001'.</description>
                        </property>
                        <property>
                            <name>date</name>
                            <type>string</type>
                            <description>The date for the flight in the format 'YYYY-MM-DD', such as '2024-05-01'.</description>
                        </property>
                    </properties>
                    <required>flight_number, date</required>
                </items>
            </property>
            <property>
                <name>payment_id</name>
                <type>string</type>
                <description>The payment id stored in user profile, such as 'credit_card_7815826', 'gift_card_7815826', 'certificate_7815826'.</description>
            </property>
            </properties>
            <required>reservation_id, cabin, flights, payment_id</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>update_reservation_passengers</name>
        <description>Update the passenger information of a reservation.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>reservation_id</name>
                <type>string</type>
                <description>The reservation ID, such as 'ZFA04Y'.</description>
            </property>
            <property>
                <name>passengers</name>
                <type>array</type>
                <description>An array of objects containing details about each passenger.</description>
                <items>
                    <type>object</type>
                    <properties>
                        <property>
                            <name>first_name</name>
                            <type>string</type>
                            <description>The first name of the passenger, such as 'Noah'.</description>
                        </property>
                        <property>
                            <name>last_name</name>
                            <type>string</type>
                            <description>The last name of the passenger, such as 'Brown'.</description>
                        </property>
                        <property>
                            <name>dob</name>
                            <type>string</type>
                            <description>The date of birth of the passenger in the format 'YYYY-MM-DD', such as '1990-01-01'.</description>
                        </property>
                    </properties>
                    <required>first_name, last_name, dob</required>
                </items>
            </property>
            </properties>
            <required>reservation_id, passengers</required>
        </parameters>
    </tool>

 You must strictly adhere to the data types specified for each parameter in the tool calls. If a parameter is an array, format it as an array. If it's a string, provide a string. If it's an object, provide a properly structured object. Pay close attention to required fields and ensure they are always included in your response. Follow the exact structure defined in the tool specification.<user_specific_instructions># Airline Agent Policy

The current time is 2024-05-15 15:00:00 EST.

As an airline agent, you can help users book, modify, or cancel flight reservations.

- Before taking any actions that update the booking database (booking, modifying flights, editing baggage, upgrading cabin class, or updating passenger information), you must list the action details and obtain explicit user confirmation (yes) to proceed.

- You should not provide any information, knowledge, or procedures not provided by the user or available tools, or give subjective recommendations or comments.

- You should only make one tool call at a time, and if you make a tool call, you should not respond to the user simultaneously. If you respond to the user, you should not make a tool call at the same time.

- You should deny user requests that are against this policy.

- You should transfer the user to a human agent if and only if the request cannot be handled within the scope of your actions.

## Domain Basic

- Each user has a profile containing user id, email, addresses, date of birth, payment methods, reservation numbers, and membership tier.

- Each reservation has an reservation id, user id, trip type (one way, round trip), flights, passengers, payment methods, created time, baggages, and travel insurance information.

- Each flight has a flight number, an origin, destination, scheduled departure and arrival time (local time), and for each date:
  - If the status is "available", the flight has not taken off, available seats and prices are listed.
  - If the status is "delayed" or "on time", the flight has not taken off, cannot be booked.
  - If the status is "flying", the flight has taken off but not landed, cannot be booked.

## Book flight

- The agent must first obtain the user id, then ask for the trip type, origin, destination.

- Passengers: Each reservation can have at most five passengers. The agent needs to collect the first name, last name, and date of birth for each passenger. All passengers must fly the same flights in the same cabin.

- Payment: each reservation can use at most one travel certificate, at most one credit card, and at most three gift cards. The remaining amount of a travel certificate is not refundable. All payment methods must already be in user profile for safety reasons.

- Checked bag allowance: If the booking user is a regular member, 0 free checked bag for each basic economy passenger, 1 free checked bag for each economy passenger, and 2 free checked bags for each business passenger. If the booking user is a silver member, 1 free checked bag for each basic economy passenger, 2 free checked bag for each economy passenger, and 3 free checked bags for each business passenger. If the booking user is a gold member, 2 free checked bag for each basic economy passenger, 3 free checked bag for each economy passenger, and 3 free checked bags for each business passenger. Each extra baggage is 50 dollars.

- Travel insurance: the agent should ask if the user wants to buy the travel insurance, which is 30 dollars per passenger and enables full refund if the user needs to cancel the flight given health or weather reasons.

## Modify flight

- The agent must first obtain the user id and the reservation id.

- Change flights: Basic economy flights cannot be modified. Other reservations can be modified without changing the origin, destination, and trip type. Some flight segments can be kept, but their prices will not be updated based on the current price. The API does not check these for the agent, so the agent must make sure the rules apply before calling the API!

- Change cabin: all reservations, including basic economy, can change cabin without changing the flights. Cabin changes require the user to pay for the difference between their current cabin and the new cabin class. Cabin class must be the same across all the flights in the same reservation; changing cabin for just one flight segment is not possible.

- Change baggage and insurance: The user can add but not remove checked bags. The user cannot add insurance after initial booking.

- Change passengers: The user can modify passengers but cannot modify the number of passengers. This is something that even a human agent cannot assist with.

- Payment: If the flights are changed, the user needs to provide one gift card or credit card for payment or refund method. The agent should ask for the payment or refund method instead.

## Cancel flight

- The agent must first obtain the user id, the reservation id, and the reason for cancellation (change of plan, airline cancelled flight, or other reasons)

- All reservations can be cancelled within 24 hours of booking, or if the airline cancelled the flight. Otherwise, basic economy or economy flights can be cancelled only if travel insurance is bought and the condition is met, and business flights can always be cancelled. The rules are strict regardless of the membership status. The API does not check these for the agent, so the agent must make sure the rules apply before calling the API!

- The agent can only cancel the whole trip that is not flown. If any of the segments are already used, the agent cannot help and transfer is needed.

- The refund will go to original payment methods in 5 to 7 business days.

## Refund

- If the user is silver/gold member or has travel insurance or flies business, and complains about cancelled flights in a reservation, the agent can offer a certificate as a gesture after confirming the facts, with the amount being $100 times the number of passengers.

- If the user is silver/gold member or has travel insurance or flies business, and complains about delayed flights in a reservation and wants to change or cancel the reservation, the agent can offer a certificate as a gesture after confirming the facts and changing or cancelling the reservation, with the amount being $50 times the number of passengers.

- Do not proactively offer these unless the user complains about the situation and explicitly asks for some compensation. Do not compensate if the user is regular member and has no travel insurance and flies (basic) economy.
</user_specific_instructions>

[User]
I need to mention that I accidentally booked two flights on May 17 and I'm looking to cancel the ATL to JFK flight.

User Response:
Hi, I accidentally booked two flights on May 17, and I'd like to cancel the one from ATL to JFK please.

[Assistant]
<thought_1>I need to help the user cancel a flight. First, I need to get the user's ID and the reservation ID for the flight they want to cancel.</thought_1><thought_2>According to our policy, I can only cancel entire reservations, not just individual flight segments. As stated in the policy: "The agent can only cancel the whole trip that is not flown. If any of the segments are already used, the agent cannot help and transfer is needed."</thought_2><thought_3>Before proceeding with any cancellation, I need to gather the necessary information: user ID and reservation ID. Then I'll need to check the details of the reservation to understand the cancellation policy that applies to this specific case.</thought_3><text_output>I understand you'd like to cancel your ATL to JFK flight on May 17. To help you with this cancellation, I'll need some information:

1. Could you please provide your user ID?
2. What is the reservation ID for the flight you want to cancel?

I should mention that our system only allows canceling entire reservations rather than individual flight segments. Once you provide this information, I can check the details of your reservation and help determine the best course of action.</text_output>

[User]
I remember my user ID but don't recall the reservation ID.

User Response:
My user ID is mohamed_hernandez_5188, but I'm sorry, I don't recall the reservation ID.

[Assistant]
<thought_1>The user has provided their user ID (mohamed_hernandez_5188) but doesn't remember the reservation ID. I should use the get_user_details tool to retrieve information about the user, including their reservations.</thought_1><thought_2>By getting the user details, I'll be able to see all their reservations and identify which one contains the ATL to JFK flight on May 17 that they want to cancel.</thought_2><tool_call>
    <tool_name>get_user_details</tool_name>
    <parameters>
        <parameter>
            <parameter_name>user_id</parameter_name>
            <parameter_value>mohamed_hernandez_5188</parameter_value>
        </parameter>
    </parameters>
</tool_call>


[System]
You are a model with advanced reasoning capabilities. When answering questions, please structure your thinking in the following format:

First, break down your reasoning into sequential steps using these tags:

    <thought_1>Your first step of reasoning goes here...</thought_1>
    <thought_2>Your second step of reasoning goes here...</thought_2>
    ...
    <thought_n>Your final step of reasoning goes here...</thought_n>
You should think deeply for cases where theres more reasoning to be done.

After your reasoning steps, conclude with ONE of these output formats:

Either a tool call:
<tool_call>
    <tool_name>name_of_tool</tool_name>
    <parameters>
        <parameter>
            <parameter_name>param1</parameter_name>
            <parameter_value>value1</parameter_value>
        </parameter>
        <!-- Add more parameters as needed -->
    </parameters>
</tool_call>

Or a text response:
<text_output>Your final answer or response goes here...</text_output>

IMPORTANT: When making tool calls, follow these rules:
1. Use EXACTLY the format shown above with proper XML tags
2. Make sure all XML tags are properly closed
3. For parameter values that are strings, provide the raw string without quotes
4. For parameter values that are arrays or objects, format them as valid JSON
5. Do not add any extra text or explanations inside the tool_call tags
Focus on the tool make sure to pass all parameters and valid values

Think deep for complex json types and try to be accurate in one try

Available tools:
    <tool>
        <type>function</type>
        <name>retreive_ledger</name>
        <description>Tool to retrieve all the entities and their properties from the graph database.
Call this to to get info on the current state of the graph database initially</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>chain_of_thought</name>
                <type>string</type>
                <description>Chain Of Thought</description>
            </property>
            </properties>
            <required>chain_of_thought</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>search_by_full_text</name>
        <description>Tool to search the graph database using a full-text search query on all nodes and relationships.
Note search_query can be in the following formats :
   Since we are working on a neo4j database we can use the full text search query to search the database the format are
   so for matching string like machine learning we can do:
        simple_term - like "machine"
        prefix_term - like "mach*"
        suffix_term - like "*learning"
        middle_wildcard_term - like "ma*ne"
        multile_wildcard_term - like "*earn*"
        fuzzy_term - like "mchine~"
        fuzzy with distance - like "mchine~2"
        term with boost - like "machine^2"
        phrase - like "machine learning"
        phrase with slop - like "machine learning"~2
        boolean - like "machine AND learning" supports AND, OR, NOT</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>chain_of_thought</name>
                <type>string</type>
                <description>Chain Of Thought</description>
            </property>
            <property>
                <name>search_query</name>
                <type>string</type>
                <description>Search Query</description>
            </property>
            </properties>
            <required>chain_of_thought, search_query</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>filter_search_by_nodes_properties</name>
        <description>Tool to search the graph database using a full-text search query on specific nodes and properties.
Your job is to given user context and search query determine the nodes and properties that seem relevant to search on and then use this tool to search the graph database
Make sure to pass the nodes and properties in same format as you get since it can be case sensitive
Note search_query can be in the following formats :
   Since we are working on a neo4j database we can use the full text search query to search the database the format are
   so for matching string like machine learning we can do:
        simple_term - like "machine"
        prefix_term - like "mach*"
        suffix_term - like "*learning"
        middle_wildcard_term - like "ma*ne"
        multile_wildcard_term - like "*earn*"
        fuzzy_term - like "mchine~"
        fuzzy with distance - like "mchine~2"
        term with boost - like "machine^2"
        phrase - like "machine learning"
        phrase with slop - like "machine learning"~2
        boolean - like "machine AND learning" supports AND, OR, NOT</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>chain_of_thought</name>
                <type>string</type>
                <description>Chain Of Thought</description>
            </property>
            <property>
                <name>search_query</name>
                <type>string</type>
                <description>Search Query</description>
            </property>
            <property>
                <name>nodes</name>
                <type>array</type>
                <description>Nodes</description>
                <items>
                    <type>string</type>
                </items>
            </property>
            <property>
                <name>properties</name>
                <type>array</type>
                <description>Properties</description>
                <items>
                    <type>string</type>
                </items>
            </property>
            </properties>
            <required>chain_of_thought, search_query, nodes, properties</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>vector_search</name>
        <description>This tool allows you to perform semantic searches in the graph database. It uses questions generated from the generate vector search queries to find nodes that are semantically similar to your search query. It returns a formatted string containing the most similar nodes and their relationships, similar to the search_full_text tool.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>chain_of_thought</name>
                <type>string</type>
                <description>Chain Of Thought</description>
            </property>
            <property>
                <name>search_query</name>
                <type>string</type>
                <description>Search Query</description>
            </property>
            </properties>
            <required>chain_of_thought, search_query</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>generate_vector_search_queries</name>
        <description>This tool turns the nodes labels and properties into descriptions phrased as questions, this allows better context for vector search queries when question to question matching is done</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>labels</name>
                <type>array</type>
                <description>Labels</description>
                <items>
                    <type>string</type>
                </items>
            </property>
            <property>
                <name>properties</name>
                <type>object</type>
                <description>Properties</description>
            </property>
            </properties>
            <required>labels, properties</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>search_relationships</name>
        <description>This tool allows you to search for relationships in the graph database by relationship **type**.
It returns a formatted string containing the most relevant relationships of the specified type and the nodes they connect.
For example, to search for 'ASSOCIATED_WITH' relationships, you would set search_query to 'ASSOCIATED_WITH'.
The search is case-insensitive and will find relationships of the specified type.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>chain_of_thought</name>
                <type>string</type>
                <description>Chain Of Thought</description>
            </property>
            <property>
                <name>search_query</name>
                <type>string</type>
                <description>Search Query</description>
            </property>
            </properties>
            <required>chain_of_thought, search_query</required>
        </parameters>
    </tool>

 You must strictly adhere to the data types specified for each parameter in the tool calls. If a parameter is an array, format it as an array. If it's a string, provide a string. If it's an object, provide a properly structured object. Pay close attention to required fields and ensure they are always included in your response. Follow the exact structure defined in the tool specification.<user_specific_instructions>
        <agent_role>
        You are a search agent AI working with both graph and vector databases. Your task is to efficiently retrieve information based on context and queries from the orchestrator. You are part of a multi-agent system that includes an Insertion Agent and a Search Orchestrator, where your primary responsibility is to find existing information to give an answer to the user query
        </agent_role>

        <search_workflow>
        Follow this precise search process in order:

        1. **ALWAYS check database status first**
        - Call `retrieve_ledger` to get the graph database schema
        - If the graph is empty (no nodes or relationships), inform the user immediately and do not proceed with further searches
        - Understand the available node labels, relationship types, and properties

        2. **Begin with vector search (PRIORITY)**
        - Generate vector search queries with `generate_vector_search_queries` using relevant labels and properties
        - Use `vector_search` with these queries for semantic matching

        3. **Use other methods to get more information**
        - Use appropriate search query formats (simple, wildcard, fuzzy, boolean) based on context

         **Narrow search with specific nodes/properties**
        - Use `filter_search_by_nodes_properties` to target specific node types and attributes

         **Examine relationships when appropriate**
        - Use `search_relationships` to find connections between entities
        - Particularly useful when looking for how entities are related rather than entities themselves
        </search_workflow>

        <search_constraints>
        1. **Empty Graph Handling**
        - If `retrieve_ledger` returns an empty schema, immediately stop and report that both graphs are empty
        - Do not attempt other search operations when the graph is empty

        2. **Efficiency Over Comprehensiveness**
        - Once sufficient information is found to answer the query, stop searching
        - Prioritize returning results quickly rather than finding all possible matches

        3. **Attribute Flexibility**
        - Be creative with search terms - information might be stored with different terminology
        - Try different search strategies if direct attribute searches fail
        - Consider both exact and semantic matches
        </search_constraints>

        <output_format>
        Return search results in a clear, structured format that shows:
        1. What node types were found
        2. Key properties of those nodes
        3. Important relationships between nodes
        4. Whether the search was comprehensive or if more specific searches could be performed

        Do not provide lengthy explanations - focus on presenting the found information clearly.
        </output_format>

        <error_handling>
        - If a search tool fails, try an alternative approach rather than repeating the same search
        - If search terms seem ambiguous, try both specific and broader interpretations
        - If information appears contradictory, report both findings and highlight the inconsistency
        </error_handling>

        <tool_usage>
        1. **retrieve_ledger**
        - Purpose: Understand graph structure and check if graph is empty
        - Handling: If empty result, report that both graphs are empty and stop

        2. **generate_vector_search_queries**
        - Call: Before calling vector search, generate up to 3 properties for vector search queries
        - Input: Pass appropriate labels and properties from schema
        - Purpose: Creates optimized questions for vector search
        - Example: `await generate_vector_search_queries(ctx, ["Person", "Organization"], {"name": "search term"})`

        3. **vector_search**
        - Call: using questions from generate_vector_search_queries
        - Priority: Ensure this is always tried as it allows for semantic matching
        - Purpose: Find semantically similar information

        4. **search_by_full_text**
        - Formats: Use appropriate query syntax (wildcard, fuzzy, boolean) based on the search need
        - Example query formats:
            - Prefix: "bank*" to find "banking", "banker", etc.
            - Fuzzy: "finace~" to find "finance" despite misspelling
            - Boolean: "credit AND score NOT history" for specific combinations

        5. **filter_search_by_nodes_properties**
        - Input: Be precise with node labels and property names from schema
        - Purpose: More targeted search when you know where to look

        6. **search_relationships**
        - Call: When specifically looking for connections between entities
        - Input: Relationship type exactly as shown in schema
        - Purpose: Find how entities are connected rather than entities themselves
        </tool_usage>
        </user_specific_instructions>
<user_specific_instructions>For each search query the result you return return it in the format of found nodes properties and thier relations as per the graph database schema
            Return info in format of what Node and its type was found with its properties and nicely formatted relations no need to explain or answer, if some info was not found return back with empty results
            Return back what u found in exact format for Node and its properties and relations as per query
            </user_specific_instructions>
<user_specific_instructions>For each search query the result you return return it in the format of found nodes properties and thier relations as per the graph database schema
            Return info in format of what Node and its type was found with its properties and nicely formatted relations no need to explain or answer, if some info was not found return back with empty results
            Return back what u found in exact format for Node and its properties and relations as per query
            </user_specific_instructions>
<user_specific_instructions>For each search query the result you return return it in the format of found nodes properties and thier relations as per the graph database schema
            Return info in format of what Node and its type was found with its properties and nicely formatted relations no need to explain or answer, if some info was not found return back with empty results
            Return back what u found in exact format for Node and its properties and relations as per query
            </user_specific_instructions>
<user_specific_instructions>For each search query the result you return return it in the format of found nodes properties and thier relations as per the graph database schema
            Return info in format of what Node and its type was found with its properties and nicely formatted relations no need to explain or answer, if some info was not found return back with empty results
            Return back what u found in exact format for Node and its properties and relations as per query
            </user_specific_instructions>
<user_specific_instructions>For each search query the result you return return it in the format of found nodes properties and thier relations as per the graph database schema
            Return info in format of what Node and its type was found with its properties and nicely formatted relations no need to explain or answer, if some info was not found return back with empty results
            Return back what u found in exact format for Node and its properties and relations as per query
            </user_specific_instructions>
<user_specific_instructions>For each search query the result you return return it in the format of found nodes properties and thier relations as per the graph database schema
            Return info in format of what Node and its type was found with its properties and nicely formatted relations no need to explain or answer, if some info was not found return back with empty results
            Return back what u found in exact format for Node and its properties and relations as per query
            </user_specific_instructions>
<user_specific_instructions>For each search query the result you return return it in the format of found nodes properties and thier relations as per the graph database schema
            Return info in format of what Node and its type was found with its properties and nicely formatted relations no need to explain or answer, if some info was not found return back with empty results
            Return back what u found in exact format for Node and its properties and relations as per query
            </user_specific_instructions>
<user_specific_instructions>For each search query the result you return return it in the format of found nodes properties and thier relations as per the graph database schema
            Return info in format of what Node and its type was found with its properties and nicely formatted relations no need to explain or answer, if some info was not found return back with empty results
            Return back what u found in exact format for Node and its properties and relations as per query
            </user_specific_instructions>

[User] Find Feature node with name "Practice Expansion Financing" or related to practice expansion or medical practice financing Labels: Feature Properties: name: Practice Expansion Financing   Use all kinds of queries to confirm existence of the data if basic queries dont work, if you have enough info to answer the question dont go more deep

[Assistant]
<thought_1>First, I need to check if the graph database is populated and understand its schema by calling retrieve_ledger.</thought_1><tool_call>
    <tool_name>retreive_ledger</tool_name>
    <parameters>
        <parameter>
            <parameter_name>chain_of_thought</parameter_name>
            <parameter_value>I need to first retrieve the graph database schema to understand what nodes and relationships exist, and verify the database is not empty.</parameter_value>
        </parameter>
    </parameters>
</tool_call>

[User]
Result from retreive_ledger tool
: Graph Database Schema:

NODES:
- Label: CardIssuer
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CardIssuer
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CardIssuer
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CardNetwork
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CardNetwork
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CardNetwork
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, recommended_credit_score, last_synced, name, type
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, recommended_credit_score, last_synced, name, type
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, recommended_credit_score, last_synced, name, type
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, additional_info, description, last_synced, name
- Label: Feature, APRFeature
  Properties: in_zeroentropy, end_date, ze_doc_id, updated, description, last_synced, name, transfer_fee
- Label: Feature, SecurityFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, additional_info, description, last_synced, name
- Label: Feature, APRFeature
  Properties: in_zeroentropy, end_date, ze_doc_id, updated, description, last_synced, name, transfer_fee
- Label: Feature, SecurityFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, TravelFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, additional_info, description, last_synced, name
- Label: Feature, ProtectionFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: FinancialDetail
  Properties: foreign_transaction_fee, in_zeroentropy, application_process, ze_doc_id, updated, last_synced, cash_advance_fee, balance_transfer_fee, credit_limit_range, minimum_income_requirement, standard_apr_range
- Label: FinancialDetail
  Properties: foreign_transaction_fee, in_zeroentropy, application_process, ze_doc_id, updated, last_synced, cash_advance_fee, balance_transfer_fee, credit_limit_range, minimum_income_requirement, standard_apr_range
- Label: FinancialDetail
  Properties: foreign_transaction_fee, in_zeroentropy, application_process, ze_doc_id, updated, last_synced, cash_advance_fee, balance_transfer_fee, credit_limit_range, minimum_income_requirement, standard_apr_range
- Label: CustomerReview
  Properties: in_zeroentropy, ze_doc_id, total_reviews, updated, last_synced, last_updated, rating, representative_review
- Label: CustomerReview
  Properties: in_zeroentropy, ze_doc_id, total_reviews, updated, last_synced, last_updated, rating, representative_review
- Label: CustomerReview
  Properties: in_zeroentropy, ze_doc_id, total_reviews, updated, last_synced, last_updated, rating, representative_review
- Label: Acceptance
  Properties: in_zeroentropy, acceptance_rate, card_designs, ze_doc_id, updated, last_synced, digital_wallet_compatible
- Label: Acceptance
  Properties: in_zeroentropy, acceptance_rate, card_designs, ze_doc_id, updated, last_synced, digital_wallet_compatible
- Label: Acceptance
  Properties: in_zeroentropy, acceptance_rate, card_designs, ze_doc_id, updated, last_synced, digital_wallet_compatible
- Label: SpecialOffer
  Properties: in_zeroentropy, end_date, ze_doc_id, updated, description, last_synced, name
- Label: SpecialOffer
  Properties: in_zeroentropy, end_date, ze_doc_id, updated, description, last_synced, name
- Label: SpecialOffer
  Properties: in_zeroentropy, end_date, ze_doc_id, updated, description, last_synced, name
- Label: CardIssuer
  Properties: in_zeroentropy, updated, last_synced, name
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, updated, recommended_credit_score, last_synced, name, type
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, TravelFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, ProtectionFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, additional_info, description, last_synced, name
- Label: FinancialDetail
  Properties: in_zeroentropy, application_process, updated, last_synced, credit_limit_range, minimum_income_requirement, standard_apr_range
- Label: CardIssuer
  Properties: in_zeroentropy, updated, last_synced, name
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, updated, last_synced, name, type
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: FinancialDetail
  Properties: foreign_transaction_fee, in_zeroentropy, application_process, updated, last_synced, cash_advance_fee, balance_transfer_fee, credit_limit_range, minimum_income_requirement, standard_apr_range
- Label: FinancialDetail
  Properties: foreign_transaction_fee, in_zeroentropy, application_process, updated, last_synced, cash_advance_fee, balance_transfer_fee, credit_limit_range, minimum_income_requirement, standard_apr_range
- Label: CardIssuer
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, last_synced, name, type
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: FinancialDetail
  Properties: in_zeroentropy, application_process, ze_doc_id, updated, last_synced, credit_limit_range, standard_apr_range
- Label: SpecialOffer
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: CardIssuer
  Properties: in_zeroentropy, updated, last_synced, name
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, updated, last_synced, name, type
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, TravelFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: FinancialDetail
  Properties: foreign_transaction_fee, in_zeroentropy, updated, last_synced, minimum_income_requirement, standard_apr_range
- Label: CardIssuer
  Properties: in_zeroentropy, updated, last_synced, name
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, updated, recommended_credit_score, last_synced, name, type
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, ProtectionFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: Feature, ProtectionFeature
  Properties: in_zeroentropy, updated, description, last_synced, name
- Label: FinancialDetail
  Properties: in_zeroentropy, application_process, updated, last_synced, credit_limit_range, standard_apr_range
- Label: CardIssuer
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, recommended_credit_score, last_synced, name, eligibility, type
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: FinancialDetail
  Properties: annual_fee, in_zeroentropy, application_process, ze_doc_id, updated, description, last_synced
- Label: CardIssuer
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, last_synced, name, eligibility, type

RELATIONSHIPS:
- Type: ISSUED_BY
- Type: OPERATES_ON
- Type: HAS_FEATURE
- Type: HAS_FINANCIAL_DETAILS
- Type: HAS_REVIEWS
- Type: HAS_ACCEPTANCE_INFO
- Type: OFFERS_PROMOTION
- Type: HAS_FINANCIAL_DETAIL

[Assistant]
<thought_1>Now I understand the structure of the graph database. The database contains Feature nodes, which is what I'm looking for. Let me first try a direct full-text search for "Practice Expansion Financing" in the Feature nodes.</thought_1><tool_call>
    <tool_name>filter_search_by_nodes_properties</tool_name>
    <parameters>
        <parameter>
            <parameter_name>chain_of_thought</parameter_name>
            <parameter_value>I'll search specifically for Feature nodes with the name "Practice Expansion Financing" as per the user's request.</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>search_query</parameter_name>
            <parameter_value>"Practice Expansion Financing"</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>nodes</parameter_name>
            <parameter_value>['Feature']</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>properties</parameter_name>
            <parameter_value>['name']</parameter_value>
        </parameter>
    </parameters>
</tool_call>

[User]
Result from filter_search_by_nodes_properties tool
:
Top 5 results for search term: '"Practice Expansion Financing"'
Filtered by labels: Feature
Filtered by properties: name
====================================================================================================
No matches found
====================================================================================================

[Assistant]
<thought_1>I didn't find any exact matches for "Practice Expansion Financing" in Feature nodes. Let me try a broader search using full-text search with keywords related to practice expansion or medical practice financing.</thought_1><tool_call>
    <tool_name>search_by_full_text</tool_name>
    <parameters>
        <parameter>
            <parameter_name>chain_of_thought</parameter_name>
            <parameter_value>Since the exact term "Practice Expansion Financing" wasn't found, I'll broaden my search to include terms like 'practice', 'expansion', or 'financing' using a full text search.</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>search_query</parameter_name>
            <parameter_value>practice OR expansion OR financing</parameter_value>
        </parameter>
    </parameters>
</tool_call>

[User]
Result from search_by_full_text tool
:
Search results for: 'practice OR expansion OR financing'
================================================================================
No matches found
================================================================================

[Assistant]
<thought_1>Still no results. Let me try to use vector search to find semantically similar content related to practice expansion or medical financing.</thought_1><tool_call>
    <tool_name>generate_vector_search_queries</tool_name>
    <parameters>
        <parameter>
            <parameter_name>labels</parameter_name>
            <parameter_value>["Feature"]</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>properties</parameter_name>
            <parameter_value>{"name": "Practice Expansion Financing", "description": "financing for medical practice expansion"}
            </parameter_value>
        </parameter>
    </parameters>
</tool_call>