Version

    AIClient

    AIClient 64x64

    Short description

    Ports

    Metadata

    AIClient attributes

    Connection

    CTL interface

    Compatibility

    See also
    This component is currently in the incubation phase. Although it is available for use, it is under active development and may be subject to changes. We welcome feedback and encourage users to explore its capabilities.

    Short description

    The AIClient component lets you compose and send queries to various online language models and processes the responses.

    You can define control logic which either refines your query based on assistant’s response, or moves to the next record. This is great in situations when you’re not happy with assistant’s response and want to continue “chatting about the same input record”, until you’re satisfied with the results.

    Warning Make sure the queries you generate and send to the assistant only contain data you are willing to share with their service. Make sure you conform to your data security, privacy and governance standards.

    Same input metadata Sorted inputs Inputs Outputs Each to all outputs Java CTL Auto-propagated metadata

    -

    ⨯

    1

    1

    ⨯

    ⨯

    ✓

    ✓

    Ports

    Port type Number Required Description Metadata

    Input

    1

    ✓

    Input prompts for the assistant

    Any

    Output

    1

    ✓

    Generated responses

    At least one string or variant field

    Metadata

    AIClient propagates input metadata to output.

    AIClient attributes

    Attribute Req Description Possible values

    Basic

    Connection

    yes

    Configuration of the AI provider, usually set via API key, model name, and temperature. See Connection.

    System message URL

    no

    An URL or relative path to a .txt file containing a system message. Used to load longer system prompts from external files.

    System message

    no

    A instruction message that is sent to the GPT model as context. Can help shape the tone or style of the response.

    Query and response processor

    yes

    CTL transformation script to fully control the GPT interaction workflow (input → query → response → output). See CTL interface.

    Output field

    yes

    The name of the field in the output record where the GPT response will be stored.

    Error handling

    Request timeout

    How long the component waits to get a response. If it does not receive a response within a specified limit, the execution of the component fails. The AIClient has one minute request timeout by default.

    Request timeout is in milliseconds. Different time units can be used. See Time intervals.

    1 minute (default)

    Retry count

    How many times should the component retry a request in the case of a failure. The retry count specifies the number of times the component will attempt to re-send a failed request. A failure is considered to occur when the component encounters an error processing the request or response.

    If Query and response processor specifies the sendRequestOnError function, this function is called only after all retries have failed, using the last exception.

    0 (default)

    Retry delay

    Specifies the time intervals between retry attempts. It is a comma-separated list of integers, where each integer represents the delay time in seconds for the corresponding retry. For example, a delay of 2, 5, 10 means the component will wait 2 seconds for the first retry, 5 seconds for the second, and 10 seconds for subsequent retries. If the number of retries exceeds the number of specified delays, the last delay in the list will be used for all subsequent retries.

    0 (default)

    Rate limit: time interval

    Limits the number of allowed requests defined by the Rate limit: max results property per time period (seconds, minutes, hours, days). When a limit is set and reached, the component waits until the defined time interval passes to continue sending requests.

    1s (default), 1m, 1h, 1d

    Rate limit: max requests

    Limits the total number of requests per time period defined by the Rate limit: time interval property. By default, the number of requests is unlimited. When a limit is set and reached, the component waits until the defined time interval passes to continue sending requests.

    Connection

    Connection represents provider-specific configuration of connection to assistant:

    • Anthropic (https://www.anthropic.com/) offers Claude models, focusing on AI safety and alignment. It is configured via API key, model name, and temperature.

    • Azure OpenAI (https://azure.microsoft.com/en-us/products/ai-foundry/models/openai) provides OpenAI models via Microsoft Azure AI Foundry with enterprise security and compliance features. It is configured via API key, endpoint, deployment name, and temperature.

    • Google Gemini (https://gemini.google.com/) supplies text generation and reasoning models integrated with Google Cloud services. It is configured via API key, model name, and temperature.

    • OpenAI (https://openai.com/api/) delivers GPT models for text generation, coding, and reasoning. It is configured via API key, model name, and temperature.

    The model name is represented by a combo box listing models available when CloverDX was released; however, you can enter different models manually.

    The temperature controls the creativity or randomness of the model’s output. Lower values make the output more deterministic, higher values more random. The lowest possible value is 0.0; the upper bound is model-dependent, usually 1.0 or 2.0. Some models might not support temperature at all.

    The baseUrl is used only for OpenAI and defines the base URL for API requests. The default value is https://api.openai.com/v1.

    CTL interface

    AIClient requires a CTL transformation (named Query and response processor).

    Its function newChat() is called once for each input record. Consequently, the functions prepareQuery() and processResponse() are called repeatedly for each input record until assistant response is either accepted or skipped, or the processing is stopped.

    CTL template
    Table 76. Functions in AIClient
    CTL Template Functions

    boolean newChat()

    Required

    Yes

    Description

    Prepares the component for a new input record. The return value signifies whether the chat history (messages for previous input records) shall be preserved or reset; reset clears the history but keeps the component-level system message.

    Invocation

    Called once for each input record.

    Returns

    true – reset the chat context | false – preserve it

    boolean newChatOnError(string errorMessage, string stackTrace)

    Required

    No

    Description

    An optional fallback function to handle possible errors in newChat(). The purpose is otherwise identical to the base function.

    Invocation

    Called if newChat() throws an exception.

    Input Parameters

    string errorMessage – message of the thrown exception

    string stackTrace – stack trace of the thrown exception

    Returns

    true – reset the chat context | false – preserve it

    Example

    		 
    function integer newChatOnError(string errorMessage, string stackTrace) {
    printErr("Resetting chat because newChat failed: " + errorMessage);
    return true;
}

    string prepareQuery(list[ChatMessage] chatContext, integer iterationIndex)

    Required

    Yes

    Description

    Prepare a new query. The returned string will be added to the chat context as user message; if null is returned, the method shall modify the context on its own.

    Invocation

    Called repeatedly for each input record, after newChat() and before processResponse().

    Input Parameters

    list[ChatMessage] chatContext – modifiable chat context, a list of previous messages

    integer iterationIndex – number of calls of this method for the current input record (0 for the first call)

    Returns

    string – a new user message, or null if none shall be added

    Example

    		 
    function string prepareQuery(
        list[ChatMessage] chatContext,
        integer iterationIndex) {
    if (iterationIndex == 0) {
        return $in.0.message;
    } else {
        return "Try it once more.";
    }
}

    boolean prepareQueryOnError(string errorMessage, string stackTrace, list[ChatMessage] chatContext, integer iterationIndex)

    Required

    No

    Description

    An optional fallback function to handle possible errors in prepareQuery(). The purpose is otherwise identical to the base function.

    Invocation

    Called if prepareQuery() throws an exception.

    Input Parameters

    string errorMessage – message of the thrown exception

    string stackTrace – stack trace of the thrown exception

    list[ChatMessage] chatContext – modifiable chat context, a list of previous messages

    integer iterationIndex – number of calls of prepareQuery() for the current input record (0 for the first call)

    Returns

    string – a new user message, or null if none shall be added

    Example

    		 
    function integer prepareQueryOnError(
        string errorMessage,
        string stackTrace,
        list[ChatMessage] chatContext,
        integer iterationIndex) {
    printErr("Using unmodified prompt because prepareQuery failed: " + errorMessage);
    return $in.0.prompt;
}

    boolean sendRequestOnError(string errorMessage, string stackTrace, list[ChatMessage] chatContext, integer iterationIndex)

    Required

    No

    Description

    An optional function to handle possible errors in communication with the assistant.

    Invocation

    Called if an exception is thrown during communication with the assistant.

    If the Retry count attribute is specified, this function is called only after all retries have failed, using the last exception.

    Input Parameters

    string errorMessage – message of the thrown exception

    string stackTrace – stack trace of the thrown exception

    list[ChatMessage] chatContext – modifiable chat context, a list of previous messages

    integer iterationIndex – number of calls of prepareQuery() for the current input record (0 for the first call)

    Returns

    integer – a code indicating whether an output record shall be generated, see processResponse()

    Example

    		 
    function integer sendRequestOnError(
        string errorMessage,
        string stackTrace,
        list[ChatMessage] chatContext,
        integer iterationIndex) {
    if (iterationIndex < 3) {
        printErr("Retrying because communication with assistant failed: " + errorMessage);
        return CONTINUE;
    } else {
        $out.0.prompt = $in.0.prompt;
        $out.0.error = "Failed to send request: " + errorMessage;
        return OK;
    }
}

    integer processResponse(list[ChatMessage] chatContext, integer iterationIndex, string assistantResponse)

    Required

    Yes

    Description

    Process assistant response: write it to output, repeat a query with additional instructions, or ignore it.

    Invocation

    Called repeatedly for each input record when assistant response is received, as long as it returns CONTINUE.

    Input Parameters

    list[ChatMessage] chatContext – modifiable chat context, including the current assistant response (at the last position)

    integer iterationIndex – number of calls of this method for the current input record (0 for the first call)

    string assistantResponse – the current assistant response, just for convenience

    Returns

    integer – a code indicating whether an output record shall be generated:

    • OK – An output record is generated and next input record is processed.

    • CONTINUE – No output is generated, prepareQuery() is called again with incremented iteration index.

    • SKIP – The response is ignored and next input record is processed.

    • STOP – Processing (of all records) is stopped, an exception is thrown.

    Example

    		 
    function integer processResponse(
        list[ChatMessage] chatContext,
        integer iterationIndex,
        string assistantResponse) {
    try {
        $out.0.response = parseJson(assistantResponse);
        return OK;
    } catch (CTLException e) {
        if (iterationIndex < 3) {
            ChatMessage message;
            message.role = "USER";
            message.content = "Answer with a valid JSON.";
            push(chatContext, message);
            return CONTINUE;
        } else {
            return SKIP;
        }
    }
}

    boolean processResponseOnError(string errorMessage, string stackTrace, list[ChatMessage] chatContext, integer iterationIndex)

    Required

    No

    Description

    An optional fallback function to handle possible errors in processResponse(). The purpose is otherwise identical to the base function.

    Invocation

    Called if processResponse() throws an exception.

    Input Parameters

    string errorMessage – message of the thrown exception

    string stackTrace – stack trace of the thrown exception

    list[ChatMessage] chatContext – modifiable chat context, including the current assistant response (at the last position)

    integer iterationIndex – number of calls of this method for the current input record (0 for the first call)

    Returns

    integer – a code indicating whether an output record shall be generated, see processResponse()

    Example

    		 
    function integer processResponseOnError(
        string errorMessage,
        string stackTrace,
        list[ChatMessage] chatContext,
        integer iterationIndex) {
    if (iterationIndex < 3) {
        printErr("Retrying because processing of assistant response failed: " + errorMessage);
        ChatMessage message;
        message.role = "USER";
        message.content = "Reply again, I cannot use your response: " + errorMessage;
        push(chatContext, message);
        return CONTINUE;
    } else {
        $out.0.prompt = $in.0.prompt;
        $out.0.error = "Failed to process assistant response: " + errorMessage;
        return OK;
    }
}

    Compatibility

    Version Compatibility notice

    7.1.0

    AIClient was introduced in CloverDX version 7.1 as OpenAIClient – it only supported OpenAI.

    7.3.0

    The component was renamed to AIClient and gained support for additional providers: Anthropic (Claude models), Azure OpenAI, and Google Gemini.

    See also

    Common properties of components

    Specific attribute types