AgentLogRequest.ts

/**
 * This file was auto-generated by Fern from our API Definition.
 */

import * as Humanloop from "../../../../index";

/**
 * @example
 *     {
 *         path: "Banking/Teller Agent",
 *         agent: {
 *             provider: "anthropic",
 *             endpoint: "chat",
 *             model: "claude-3-7-sonnet-latest",
 *             reasoningEffort: 1024,
 *             template: [{
 *                     role: "system",
 *                     content: "You are a helpful digital assistant, helping users navigate our digital banking platform."
 *                 }],
 *             maxIterations: 3,
 *             tools: [{
 *                     type: "file",
 *                     link: {
 *                         fileId: "pr_1234567890",
 *                         versionId: "prv_1234567890"
 *                     },
 *                     onAgentCall: "continue"
 *                 }, {
 *                     type: "inline",
 *                     jsonSchema: {
 *                         name: "stop",
 *                         description: "Call this tool when you have finished your task.",
 *                         parameters: {
 *                             "type": "object",
 *                             "properties": {
 *                                 "output": {
 *                                     "type": "string",
 *                                     "description": "The final output to return to the user."
 *                                 }
 *                             },
 *                             "additionalProperties": false,
 *                             "required": [
 *                                 "output"
 *                             ]
 *                         },
 *                         strict: true
 *                     },
 *                     onAgentCall: "stop"
 *                 }]
 *         }
 *     }
 */
export interface AgentLogRequest {
    /**
     * A specific Version ID of the Agent to log to.
     */
    versionId?: string;
    /**
     * Name of the Environment identifying a deployed version to log to.
     */
    environment?: string;
    /** Unique identifier for the Run to associate the Log to. */
    runId?: string;
    /** Path of the Agent, including the name. This locates the Agent in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */
    path?: string;
    /** ID for an existing Agent. */
    id?: string;
    /** The message returned by the provider. */
    outputMessage?: Humanloop.ChatMessage;
    /** Number of tokens in the prompt used to generate the output. */
    promptTokens?: number;
    /** Number of reasoning tokens used to generate the output. */
    reasoningTokens?: number;
    /** Number of tokens in the output generated by the model. */
    outputTokens?: number;
    /** Cost in dollars associated to the tokens in the prompt. */
    promptCost?: number;
    /** Cost in dollars associated to the tokens in the output. */
    outputCost?: number;
    /** Reason the generation finished. */
    finishReason?: string;
    /** The messages passed to the to provider chat endpoint. */
    messages?: Humanloop.ChatMessage[];
    /**
     * Controls how the model uses tools. The following options are supported:
     * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt.
     * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt.
     * - `'required'` means the model must call one or more of the provided tools.
     * - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
     */
    toolChoice?: Humanloop.AgentLogRequestToolChoice;
    /**
     * The Agent configuration to use. Two formats are supported:
     * - An object representing the details of the Agent configuration
     * - A string representing the raw contents of a .agent file
     *
     * A new Agent version will be created if the provided details do not match any existing version.
     */
    agent?: Humanloop.AgentLogRequestAgent;
    /** When the logged event started. */
    startTime?: Date;
    /** When the logged event ended. */
    endTime?: Date;
    /** Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later. */
    output?: string;
    /** User defined timestamp for when the log was created. */
    createdAt?: Date;
    /** Error message if the log is an error. */
    error?: string;
    /** Duration of the logged event in seconds. */
    providerLatency?: number;
    /** Captured log and debug statements. */
    stdout?: string;
    /** Raw request sent to provider. */
    providerRequest?: Record<string, unknown>;
    /** Raw response received the provider. */
    providerResponse?: Record<string, unknown>;
    /** The inputs passed to the prompt template. */
    inputs?: Record<string, unknown>;
    /** Identifies where the model was called from. */
    source?: string;
    /** Any additional metadata to record. */
    metadata?: Record<string, unknown>;
    /** Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair. */
    sourceDatapointId?: string;
    /** The ID of the parent Log to nest this Log under in a Trace. */
    traceParentId?: string;
    /** End-user ID related to the Log. */
    user?: string;
    /** The name of the Environment the Log is associated to. */
    agentLogRequestEnvironment?: string;
    /** Whether the request/response payloads will be stored on Humanloop. */
    save?: boolean;
    /** This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you. */
    logId?: string;
}