[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] Find Feature node with name "Green Points Rewards Program" or similar to green points or environmental rewards Labels: Feature, RewardFeature Properties: name: Green Points Rewards Program   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 the current state of the graph database to understand what nodes and relationships exist.</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 understand the schema of the graph database, including what nodes, relationships, and properties exist.</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

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>I can confirm from the ledger that there are Feature and RewardFeature nodes in the database with name and description properties. The specific "Green Points Rewards Program" feature is what I need to search for. Let me start with a targeted search.</thought_1><thought_2>I'll first try a direct search using filter_search_by_nodes_properties to look for Feature nodes with "Green Points" in their name.</thought_2><tool_call>
    <tool_name>filter_search_by_nodes_properties</tool_name>
    <parameters>
        <parameter>
            <parameter_name>chain_of_thought</parameter_name>
            <parameter_value>I'm looking for a Feature node with "Green Points" in its name, specifically targeting Feature and RewardFeature nodes.</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>search_query</parameter_name>
            <parameter_value>"Green Points"</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>nodes</parameter_name>
            <parameter_value>["Feature", "RewardFeature"]</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>properties</parameter_name>
            <parameter_value>["name"]</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>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_pending_order</name>
        <description>Cancel a pending order. If the order is already processed or delivered, it cannot be cancelled. The agent needs to explain the cancellation detail and ask for explicit user confirmation (yes/no) to proceed. If the user confirms, the order status will be changed to 'cancelled' and the payment will be refunded. The refund will be added to the user's gift card balance immediately if the payment was made using a gift card, otherwise the refund would take 5-7 business days to process. The function returns the order details after the cancellation.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>order_id</name>
                <type>string</type>
                <description>The order id, such as '#W0000000'. Be careful there is a '#' symbol at the beginning of the order id.</description>
            </property>
            <property>
                <name>reason</name>
                <type>string</type>
                <description>The reason for cancellation, which should be either 'no longer needed' or 'ordered by mistake'.</description>
                <enum>no longer needed, ordered by mistake</enum>
            </property>
            </properties>
            <required>order_id, reason</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>exchange_delivered_order_items</name>
        <description>Exchange items in a delivered order to new items of the same product type. For a delivered order, return or exchange can be only done once by the agent. The agent needs to explain the exchange detail and ask for explicit user confirmation (yes/no) to proceed.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>order_id</name>
                <type>string</type>
                <description>The order id, such as '#W0000000'. Be careful there is a '#' symbol at the beginning of the order id.</description>
            </property>
            <property>
                <name>item_ids</name>
                <type>array</type>
                <description>The item ids to be exchanged, each such as '1008292230'. There could be duplicate items in the list.</description>
                <items>
                    <type>string</type>
                </items>
            </property>
            <property>
                <name>new_item_ids</name>
                <type>array</type>
                <description>The item ids to be exchanged for, each such as '1008292230'. There could be duplicate items in the list. Each new item id should match the item id in the same position and be of the same product.</description>
                <items>
                    <type>string</type>
                </items>
            </property>
            <property>
                <name>payment_method_id</name>
                <type>string</type>
                <description>The payment method id to pay or receive refund for the item price difference, such as 'gift_card_0000000' or 'credit_card_0000000'. These can be looked up from the user or order details.</description>
            </property>
            </properties>
            <required>order_id, item_ids, new_item_ids, payment_method_id</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>find_user_id_by_email</name>
        <description>Find user id by email. If the user is not found, the function will return an error message.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>email</name>
                <type>string</type>
                <description>The email of the user, such as 'something@example.com'.</description>
            </property>
            </properties>
            <required>email</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>find_user_id_by_name_zip</name>
        <description>Find user id by first name, last name, and zip code. If the user is not found, the function will return an error message. By default, find user id by email, and only call this function if the user is not found by email or cannot remember email.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>first_name</name>
                <type>string</type>
                <description>The first name of the customer, such as 'John'.</description>
            </property>
            <property>
                <name>last_name</name>
                <type>string</type>
                <description>The last name of the customer, such as 'Doe'.</description>
            </property>
            <property>
                <name>zip</name>
                <type>string</type>
                <description>The zip code of the customer, such as '12345'.</description>
            </property>
            </properties>
            <required>first_name, last_name, zip</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>get_order_details</name>
        <description>Get the status and details of an order.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>order_id</name>
                <type>string</type>
                <description>The order id, such as '#W0000000'. Be careful there is a '#' symbol at the beginning of the order id.</description>
            </property>
            </properties>
            <required>order_id</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>get_product_details</name>
        <description>Get the inventory details of a product.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>product_id</name>
                <type>string</type>
                <description>The product id, such as '6086499569'. Be careful the product id is different from the item id.</description>
            </property>
            </properties>
            <required>product_id</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>get_user_details</name>
        <description>Get the details of a user, including their orders.</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_product_types</name>
        <description>List the name and product id of all product types. Each product type has a variety of different items with unique item ids and options. There are only 50 product types in the store.</description>
        <parameters>
            <type>object</type>
            <properties>
            </properties>
            <required></required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>modify_pending_order_address</name>
        <description>Modify the shipping address of a pending order. The agent needs to explain the modification detail and ask for explicit user confirmation (yes/no) to proceed.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>order_id</name>
                <type>string</type>
                <description>The order id, such as '#W0000000'. Be careful there is a '#' symbol at the beginning of the order id.</description>
            </property>
            <property>
                <name>address1</name>
                <type>string</type>
                <description>The first line of the address, such as '123 Main St'.</description>
            </property>
            <property>
                <name>address2</name>
                <type>string</type>
                <description>The second line of the address, such as 'Apt 1' or ''.</description>
            </property>
            <property>
                <name>city</name>
                <type>string</type>
                <description>The city, such as 'San Francisco'.</description>
            </property>
            <property>
                <name>state</name>
                <type>string</type>
                <description>The state, such as 'CA'.</description>
            </property>
            <property>
                <name>country</name>
                <type>string</type>
                <description>The country, such as 'USA'.</description>
            </property>
            <property>
                <name>zip</name>
                <type>string</type>
                <description>The zip code, such as '12345'.</description>
            </property>
            </properties>
            <required>order_id, address1, address2, city, state, country, zip</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>modify_pending_order_items</name>
        <description>Modify items in a pending order to new items of the same product type. For a pending order, this function can only be called once. The agent needs to explain the exchange detail and ask for explicit user confirmation (yes/no) to proceed.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>order_id</name>
                <type>string</type>
                <description>The order id, such as '#W0000000'. Be careful there is a '#' symbol at the beginning of the order id.</description>
            </property>
            <property>
                <name>item_ids</name>
                <type>array</type>
                <description>The item ids to be modified, each such as '1008292230'. There could be duplicate items in the list.</description>
                <items>
                    <type>string</type>
                </items>
            </property>
            <property>
                <name>new_item_ids</name>
                <type>array</type>
                <description>The item ids to be modified for, each such as '1008292230'. There could be duplicate items in the list. Each new item id should match the item id in the same position and be of the same product.</description>
                <items>
                    <type>string</type>
                </items>
            </property>
            <property>
                <name>payment_method_id</name>
                <type>string</type>
                <description>The payment method id to pay or receive refund for the item price difference, such as 'gift_card_0000000' or 'credit_card_0000000'. These can be looked up from the user or order details.</description>
            </property>
            </properties>
            <required>order_id, item_ids, new_item_ids, payment_method_id</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>modify_pending_order_payment</name>
        <description>Modify the payment method of a pending order. The agent needs to explain the modification detail and ask for explicit user confirmation (yes/no) to proceed.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>order_id</name>
                <type>string</type>
                <description>The order id, such as '#W0000000'. Be careful there is a '#' symbol at the beginning of the order id.</description>
            </property>
            <property>
                <name>payment_method_id</name>
                <type>string</type>
                <description>The payment method id to pay or receive refund for the item price difference, such as 'gift_card_0000000' or 'credit_card_0000000'. These can be looked up from the user or order details.</description>
            </property>
            </properties>
            <required>order_id, payment_method_id</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>modify_user_address</name>
        <description>Modify the default address of a user. The agent needs to explain the modification detail and ask for explicit user confirmation (yes/no) to proceed.</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>
            <property>
                <name>address1</name>
                <type>string</type>
                <description>The first line of the address, such as '123 Main St'.</description>
            </property>
            <property>
                <name>address2</name>
                <type>string</type>
                <description>The second line of the address, such as 'Apt 1' or ''.</description>
            </property>
            <property>
                <name>city</name>
                <type>string</type>
                <description>The city, such as 'San Francisco'.</description>
            </property>
            <property>
                <name>state</name>
                <type>string</type>
                <description>The state, such as 'CA'.</description>
            </property>
            <property>
                <name>country</name>
                <type>string</type>
                <description>The country, such as 'USA'.</description>
            </property>
            <property>
                <name>zip</name>
                <type>string</type>
                <description>The zip code, such as '12345'.</description>
            </property>
            </properties>
            <required>user_id, address1, address2, city, state, country, zip</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>return_delivered_order_items</name>
        <description>Return some items of a delivered order. The order status will be changed to 'return requested'. The agent needs to explain the return detail and ask for explicit user confirmation (yes/no) to proceed. The user will receive follow-up email for how and where to return the item.</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>order_id</name>
                <type>string</type>
                <description>The order id, such as '#W0000000'. Be careful there is a '#' symbol at the beginning of the order id.</description>
            </property>
            <property>
                <name>item_ids</name>
                <type>array</type>
                <description>The item ids to be returned, each such as '1008292230'. There could be duplicate items in the list.</description>
                <items>
                    <type>string</type>
                </items>
            </property>
            <property>
                <name>payment_method_id</name>
                <type>string</type>
                <description>The payment method id to pay or receive refund for the item price difference, such as 'gift_card_0000000' or 'credit_card_0000000'. These can be looked up from the user or order details.</description>
            </property>
            </properties>
            <required>order_id, item_ids, payment_method_id</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 or some cache memory 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>

 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># Retail agent policy

As a retail agent, you can help users cancel or modify pending orders, return or exchange delivered orders, modify their default user address, or provide information about their own profile, orders, and related products.

- At the beginning of the conversation, you have to authenticate the user identity by locating their user id via email, or via name + zip code. This has to be done even when the user already provides the user id.

- Once the user has been authenticated, you can provide the user with information about order, product, profile information, e.g. help the user look up order id.

- You can only help one user per conversation (but you can handle multiple requests from the same user), and must deny any requests for tasks related to any other user.

- Before taking consequential actions that update the database (cancel, modify, return, exchange), you have to list the action detail and obtain explicit user confirmation (yes) to proceed.

- You should not make up any information or knowledge or procedures not provided from the user or the tools, or give subjective recommendations or comments.

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

- 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

- All times in the database are EST and 24 hour based. For example "02:30:00" means 2:30 AM EST.

- Each user has a profile of its email, default address, user id, and payment methods. Each payment method is either a gift card, a paypal account, or a credit card.

- Our retail store has 50 types of products. For each type of product, there are variant items of different options. For example, for a 't shirt' product, there could be an item with option 'color blue size M', and another item with option 'color red size L'.

- Each product has an unique product id, and each item has an unique item id. They have no relations and should not be confused.

- Each order can be in status 'pending', 'processed', 'delivered', or 'cancelled'. Generally, you can only take action on pending or delivered orders.

- Exchange or modify order tools can only be called once. Be sure that all items to be changed are collected into a list before making the tool call!!!

## Cancel pending order

- An order can only be cancelled if its status is 'pending', and you should check its status before taking the action.

- The user needs to confirm the order id and the reason (either 'no longer needed' or 'ordered by mistake') for cancellation.

- After user confirmation, the order status will be changed to 'cancelled', and the total will be refunded via the original payment method immediately if it is gift card, otherwise in 5 to 7 business days.

## Modify pending order

- An order can only be modified if its status is 'pending', and you should check its status before taking the action.

- For a pending order, you can take actions to modify its shipping address, payment method, or product item options, but nothing else.

### Modify payment

- The user can only choose a single payment method different from the original payment method.

- If the user wants the modify the payment method to gift card, it must have enough balance to cover the total amount.

- After user confirmation, the order status will be kept 'pending'. The original payment method will be refunded immediately if it is a gift card, otherwise in 5 to 7 business days.

### Modify items

- This action can only be called once, and will change the order status to 'pending (items modifed)', and the agent will not be able to modify or cancel the order anymore. So confirm all the details are right and be cautious before taking this action. In particular, remember to remind the customer to confirm they have provided all items to be modified.

- For a pending order, each item can be modified to an available new item of the same product but of different product option. There cannot be any change of product types, e.g. modify shirt to shoe.

- The user must provide a payment method to pay or receive refund of the price difference. If the user provides a gift card, it must have enough balance to cover the price difference.

## Return delivered order

- An order can only be returned if its status is 'delivered', and you should check its status before taking the action.

- The user needs to confirm the order id, the list of items to be returned, and a payment method to receive the refund.

- The refund must either go to the original payment method, or an existing gift card.

- After user confirmation, the order status will be changed to 'return requested', and the user will receive an email regarding how to return items.

## Exchange delivered order

- An order can only be exchanged if its status is 'delivered', and you should check its status before taking the action. In particular, remember to remind the customer to confirm they have provided all items to be exchanged.

- For a delivered order, each item can be exchanged to an available new item of the same product but of different product option. There cannot be any change of product types, e.g. modify shirt to shoe.

- The user must provide a payment method to pay or receive refund of the price difference. If the user provides a gift card, it must have enough balance to cover the price difference.

- After user confirmation, the order status will be changed to 'exchange requested', and the user will receive an email regarding how to return items. There is no need to place a new order.
</user_specific_instructions>

[User]
I need to start by mentioning that I'd like to exchange two items.

User Response:
I'd like to exchange a couple of items from my order.

[Assistant]
<thought_1>The user would like to exchange some items from an order. However, before I can help with any exchanges, I need to authenticate the user first. I need to get their email address or their name and zip code to find their user ID.</thought_1><thought_2>I should explain that I need to authenticate them before proceeding with their exchange request. Once authenticated, I'll need specific information about the order they want to exchange items from, including the order ID, which items they want to exchange, and what they want to exchange them for.</thought_2><thought_3>I should also mention that exchanges are only possible for delivered orders and they must exchange items for different variants of the same product type (e.g., exchanging a blue shirt for a red shirt of the same type, but not exchanging a shirt for shoes).</thought_3><text_output>I'd be happy to help you with exchanging some items from your order. Before we proceed, I'll need to verify your identity first.

Could you please provide your email address associated with your account? Alternatively, I can also verify your identity with your first name, last name, and zip code.

Once we've verified your identity, I'll need the following information to process your exchange:
1. Your order ID (starts with #W)
2. Which specific items you'd like to exchange
3. What you'd like to exchange them for

Just to note, exchanges are only possible for delivered orders, and you can only exchange items for different variants of the same product type (for example, exchanging a blue shirt for a red shirt, but not exchanging a shirt for shoes).</text_output>

[User]
I will provide the necessary information to verify my identity.

User Response:
My name is Mei Kovacs, and my zip code is 28236.

[Assistant]
<thought_1>The user has provided their first name (Mei), last name (Kovacs), and zip code (28236). This is enough information for me to attempt to authenticate them using the find_user_id_by_name_zip function.</thought_1><thought_2>I'll use the find_user_id_by_name_zip function to locate the user's account with the provided information.</thought_2><tool_call>
    <tool_name>find_user_id_by_name_zip</tool_name>
    <parameters>
        <parameter>
            <parameter_name>first_name</parameter_name>
            <parameter_value>Mei</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>last_name</parameter_name>
            <parameter_value>Kovacs</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>zip</parameter_name>
            <parameter_value>28236</parameter_value>
        </parameter>
    </parameters>
</tool_call>

[User]
Result from find_user_id_by_name_zip tool
: Error: user not found

[Assistant]
<thought_1>I was unable to find the user with the name "Mei Kovacs" and zip code "28236". This could be because of several reasons: the user might have entered the wrong information, there might be a typo, or they might have an account registered with different information.</thought_1><thought_2>I should inform the user that I couldn't find an account with the provided information and ask them to verify if the information is correct. I should also offer alternative ways to authenticate, such as using their email address instead.</thought_2><text_output>I'm sorry, but I couldn't find an account with the name "Mei Kovacs" and zip code "28236" in our system.

Could you please verify if the information you provided is correct? Perhaps there was a typo, or your account might be registered under different information.

Alternatively, could you provide the email address associated with your account? That's usually the most reliable way to find your account information in our system.</text_output>

[User]
I should confirm that my provided details are correct, and perhaps suggest using my email as an alternative authentication method.

User Response:
The details I provided are correct, but let's try using my email address instead. It's mei_kovacs_8020@example.com.

[Assistant]
<thought_1>Now the user has provided their email address (mei_kovacs_8020@example.com). I'll use the find_user_id_by_email function to attempt to authenticate them with this information.</thought_1><tool_call>
    <tool_name>find_user_id_by_email</tool_name>
    <parameters>
        <parameter>
            <parameter_name>email</parameter_name>
            <parameter_value>mei_kovacs_8020@example.com</parameter_value>
        </parameter>
    </parameters>
</tool_call>

[User]
Result from find_user_id_by_email tool
: Error: user not found

[Assistant]
<thought_1>I've tried to find the user with the email "mei_kovacs_8020@example.com" but was unsuccessful. I've now tried both methods of authentication (name+zip and email) and couldn't find a matching account in our system.</thought_1><thought_2>It's possible that the user might have made a typo in their email, or they might be using a different email address for their account. It's also possible they haven't created an account with us yet.</thought_2><thought_3>I should inform the user that I couldn't find their account with the email provided and ask them to check if there might be another email address they used. I should also ask if they're sure they have an account with us.</thought_3><text_output>I apologize, but I'm still unable to find an account with the email address "mei_kovacs_8020@example.com" in our system.

Could you please:
1. Double-check if there might be a typo in the email address you provided
2. Consider if you might have used a different email address to create your account with us
3. Confirm if you have previously created an account with our store

If you have another email address you think might be associated with your account, please share that with me, and I'll try again. Alternatively, if you remember any recent order numbers (starting with #W), that could also help me locate your account.</text_output>

[User]
Since the system can't find my account, I should mention that I don't recall another email or order ID, hoping they can suggest another way forward.

User Response:
I don't have another email address or any order IDs handy. Is there another way to find my account?

[Assistant]
<thought_1>The user doesn't have another email address or order IDs to help with authentication. I've tried both authentication methods (name+zip and email) without success, which suggests that either the user doesn't have an account with us or the information they're providing doesn't match what's in our system.</thought_1><thought_2>At this point, I need to explain the situation to the user. I should be honest that I can't help with exchanges or look up order information without first authenticating them in our system.</thought_2><text_output>I understand this is frustrating. Unfortunately, I'm unable to access any account information or process exchanges without first verifying your identity in our system.

Here are a few suggestions that might help:

1. Check if you might have used a different name, spelling, or zip code when creating your account
2. Look through your email inbox for any order confirmation emails from us - these would contain your order ID and the email address you used
3. Check if any family members might have placed the order under their account

If you'd like, I can transfer you to a human agent who might have additional ways to help locate your account. Would you like me to do that instead?

Alternatively, if you can provide any additional information that might help identify your account (such as a different name, address, or payment method you might have used), I'd be happy to try again.</text_output>

[User]
Since none of the provided methods worked, accepting the suggestion to transfer to a human agent might be the best way forward.

User Response:
Yes, please transfer me to a human agent.

[Assistant]
<thought_1>The user has requested to be transferred to a human agent since we've been unable to authenticate their account using the available methods. I should transfer them to a human agent with a summary of the situation.</thought_1><thought_2>I need to prepare a clear summary of what we've tried so far and what the user is trying to accomplish, so the human agent can pick up where we left off without requiring the user to repeat information.</thought_2><tool_call>
    <tool_name>transfer_to_human_agents</tool_name>
    <parameters>
        <parameter>
            <parameter_name>summary</parameter_name>
            <parameter_value>The user would like to exchange items from an order but we've been unable to authenticate their account. They provided the name "Mei Kovacs" with zip code "28236" and the email "mei_kovacs_8020@example.com", but neither method found a matching account in our system. The user doesn't have any order IDs available and doesn't recall using another email address. They would like assistance with locating their account so they can proceed with exchanging items from their order.</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>insert_into_graph</name>
        <description>Tool to run the final insertion query and insert the data into the graph database
Pass query as a cypher query and params as a dictionary, for the query to run on
Params are sturcured and passed as a dictionary to neo4j driver like
session.run(query,params)</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>chain_of_thought</name>
                <type>string</type>
                <description>Chain Of Thought</description>
            </property>
            <property>
                <name>final_query</name>
                <type>string</type>
                <description>Final Query</description>
            </property>
            <property>
                <name>params</name>
                <type>object</type>
                <description>Params</description>
            </property>
            </properties>
            <required>chain_of_thought, final_query, params</required>
        </parameters>
    </tool>

    <tool>
        <type>function</type>
        <name>contact_search_agent</name>
        <description>Tool to contact the search agent to get the relevant information from the graph database
Pass it information to fetch step by step</description>
        <parameters>
            <type>object</type>
            <properties>
            <property>
                <name>chain_of_thought</name>
                <type>string</type>
                <description>Chain Of Thought</description>
            </property>
            <property>
                <name>search_agent_query</name>
                <type>string</type>
                <description>Search Agent Query</description>
            </property>
            <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>chain_of_thought, search_agent_query, labels, properties</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 insertion agent AI, you will be given suggestions for insertion from the orchestration agent and you will be responsible for inserting the data into the graph database.
       You will be given the context and the subquery to work on. Your job is to insert the data into the graph database for the given context.

       You will have the following tools to work with:

          1. retrive_ledger - This tool is used to get all the entities and their properties from the graph database, this will help you breaking down question into steps to contact the search agent for relevant information
          2. contact_search_agent - This tool is used to contact the search agent to get the relevant information from the graph database. Use it to search for duplicate entries. Pass in the node labels and properties and the search query to the tool. You must  call this tool to search for duplicate entries.
          3. insert_into_graph: This tool runs the final insertion query and inserts the data into the graph database. Always ensure no duplicate data is being inserted. Pass the query as a Cypher query and the parameters as a dictionary. Only use this tool AFTER you have thoroughly checked for existing similar nodes and determined that a new node MUST be created or an existing one should be updated. If an existing node is updated set the updated property to true.

        Workflow:
        1. Always start with retrieve_ledger to understand the graph schema.
        2. Then contact_search agent to search for duplicate nodes
        3. If a similar node exists:
           a.  Update the existing node with new information if appropriate.  Modify relationships as necessary. Set the update property to true
           b.  Do NOT create duplicate nodes. This is very important. No matter what you must not create duplicate nodes.
        4. If NO similar nodes exist, use insert_into_graph to create the new node and any necessary relationships.

        Notes:
         - If you have less information or are confused, relay back as failure and explain what info you need to proceed.
         - Always try to use the ledger info to structure the insertion query.
         - Ensure we have no repeating entities. Try verifying with searches with complex queries and the node labels and properties.
         - Prioritize updating existing nodes over creating new ones. Duplicate nodes are BAD.
         - The orchestration agent is giving the instructions from the user , you need to follow them as best as possible while ensuring no duplicate information is entered twice
        </user_specific_instructions>

[User]
current insertion step is :Create core nodes: 1) CardIssuer node for 'Prestige Financial' with properties {name: 'Prestige Financial', updated: false, last_synced: current timestamp} 2) CreditCard node for 'Luxury Lifestyle Black Card' with properties {name: 'Luxury Lifestyle Black Card', type: 'Premium', annual_fee: 995, eligibility: 'Invitation-only', updated: false, last_synced: current timestamp}
                    context to work on is : ```json
{
  "nodes": {
    "CardIssuer": {
      "name": "Prestige Financial",
      "updated": false,
      "last_synced": "current timestamp"
    },
    "CreditCard": {
      "name": "Luxury Lifestyle Black Card",
      "type": "Premium",
      "annual_fee": 995,
      "eligibility": "Invitation-only",
      "updated": false,
      "last_synced": "current timestamp"
    }
  },
  "features": {
    "awards_and_benefits": [
      "personal concierge service",
      "unlimited 5% cash back on luxury goods",
      "exclusive event access",
      "Elite Status program: exclusive resorts, private shopping experiences, luxury vehicle upgrades"
    ],
    "requirements": [
      "investment portfolio verification"
    ]
  }
}
```

[Assistant]
<thought_1>I need to first retrieve the ledger to understand the graph schema and see what nodes already exist in the database.</thought_1><tool_call>
    <tool_name>retreive_ledger</tool_name>
    <parameters>
        <parameter>
            <parameter_name>chain_of_thought</parameter_name>
            <parameter_value>I need to retrieve the ledger to understand the current graph schema and check what nodes already exist in the database before performing any insertions.</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
- Label: Feature, RewardFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, ProtectionFeature
  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, 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, 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: FinancialDetail
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, description, last_synced
- Label: CreditCard
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, last_synced, name, type
- Label: CardIssuer
  Properties: in_zeroentropy, ze_doc_id, updated, last_synced, name
- Label: Feature, APRFeature
  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: annual_fee, in_zeroentropy, application_process, updated, last_synced
- Label: CardIssuer
  Properties: in_zeroentropy, 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
  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, additional_info, description, last_synced, name
- Label: FinancialDetail
  Properties: annual_fee, in_zeroentropy, updated, last_synced, 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
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: FinancialDetail
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, 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, 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, ProtectionFeature
  Properties: in_zeroentropy, ze_doc_id, updated, description, last_synced, name
- Label: Feature, ProtectionFeature
  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: FinancialDetail
  Properties: annual_fee, in_zeroentropy, ze_doc_id, updated, last_synced

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 that I have the ledger information, I need to check if a CardIssuer named "Prestige Financial" or a CreditCard named "Luxury Lifestyle Black Card" already exists in the database to avoid duplicates.</thought_1><thought_2>I should first check for the CardIssuer "Prestige Financial" by using the contact_search_agent tool.</thought_2><tool_call>
    <tool_name>contact_search_agent</tool_name>
    <parameters>
        <parameter>
            <parameter_name>chain_of_thought</parameter_name>
            <parameter_value>Before inserting a new CardIssuer node, I need to check if "Prestige Financial" already exists in the database to avoid duplicates.</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>search_agent_query</parameter_name>
            <parameter_value>Find any CardIssuer nodes with name 'Prestige Financial'</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>labels</parameter_name>
            <parameter_value>['CardIssuer']</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>properties</parameter_name>
            <parameter_value>{'name': 'Prestige Financial'}</parameter_value>
        </parameter>
    </parameters>
</tool_call>

[User]
Result from tool: No CardIssuer node with the name 'Prestige Financial' was found in the database.

The search returned other financial institutions including:
- Elevate Financial
- Summit Financial Group
- Gourmet Financial
- Discover Financial Services
- Renovation Financial

But no entity matching 'Prestige Financial' exists in the current database.

[Assistant]
<thought_1>I've confirmed that there is no CardIssuer node with the name "Prestige Financial" in the database. Now I need to check if the CreditCard "Luxury Lifestyle Black Card" already exists.</thought_1><tool_call>
    <tool_name>contact_search_agent</tool_name>
    <parameters>
        <parameter>
            <parameter_name>chain_of_thought</parameter_name>
            <parameter_value>Before inserting a new CreditCard node, I need to check if "Luxury Lifestyle Black Card" already exists in the database to avoid duplicates.</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>search_agent_query</parameter_name>
            <parameter_value>Find any CreditCard nodes with name 'Luxury Lifestyle Black Card'</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>labels</parameter_name>
            <parameter_value>['CreditCard']</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>properties</parameter_name>
            <parameter_value>{'name': 'Luxury Lifestyle Black Card'}</parameter_value>
        </parameter>
    </parameters>
</tool_call>

[User]
Result from tool: No CreditCard node with name 'Luxury Lifestyle Black Card' was found in the database.

The closest premium cards found were:
1. Summit Infinite Travel (Travel card with $150 annual fee)
2. Elevate Platinum Rewards (Rewards card with $95 annual fee)
3. CulinaryElite Dining Card (Rewards card with $99 annual fee)

None of these match the requested "Luxury Lifestyle Black Card" name.

[Assistant]
<thought_1>I've confirmed that neither the CardIssuer "Prestige Financial" nor the CreditCard "Luxury Lifestyle Black Card" exist in the database. According to my instructions, I should now proceed with inserting these new nodes into the graph database.</thought_1><thought_2>The timestamp for last_synced should be the current timestamp. I'll use the Neo4j datetime() function for this.</thought_2><thought_3>I'll now create the Cypher query to insert these new nodes and the relationship between them. I need to ensure the properties are set correctly according to the context provided.</thought_3><tool_call>
    <tool_name>insert_into_graph</tool_name>
    <parameters>
        <parameter>
            <parameter_name>chain_of_thought</parameter_name>
            <parameter_value>I've confirmed that neither "Prestige Financial" as a CardIssuer nor "Luxury Lifestyle Black Card" as a CreditCard exist in the database. I'll now create both nodes and establish a relationship between them. For the timestamp, I'll use Neo4j's datetime() function to capture the current time. I'll also set the updated property to false as specified.</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>final_query</parameter_name>
            <parameter_value>MERGE (i:CardIssuer {name: $issuerName})
ON CREATE SET
    i.updated = false,
    i.last_synced = datetime(),
    i.in_zeroentropy = true
WITH i
MERGE (c:CreditCard {name: $cardName})
ON CREATE SET
    c.type = $cardType,
    c.annual_fee = $annualFee,
    c.eligibility = $eligibility,
    c.updated = false,
    c.last_synced = datetime(),
    c.in_zeroentropy = true
WITH i, c
MERGE (c)-[:ISSUED_BY]->(i)
RETURN i, c</parameter_value>
        </parameter>
        <parameter>
            <parameter_name>params</parameter_name>
            <parameter_value>{
  "issuerName": "Prestige Financial",
  "cardName": "Luxury Lifestyle Black Card",
  "cardType": "Premium",
  "annualFee": 995,
  "eligibility": "Invitation-only"
}</parameter_value>
        </parameter>
    </parameters>
</tool_call>