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github-actions[bot] edited this page Oct 3, 2025 · 6 revisions

answer_rocket.types

Type definitions, result classes, and constants used throughout the AnswerRocket SDK.

Constants

  • RESULT_EXCEPTION_CODE = 1000 (from types)

Type Aliases

FeedbackType

Defined in answer_rocket.chat

FeedbackType = Literal[('CHAT_POSITIVE', 'CHAT_NEGATIVE')]

QuestionType

Defined in answer_rocket.chat

QuestionType = Literal[('DRILLDOWN', 'EXAMPLE', 'FOLLOWUP', 'RESEARCHER_REPORT', 'SAVED', 'SCHEDULED', 'SHARED', 'SKILL_PREVIEW', 'TEST_RUN', 'USER_WRITTEN', 'XML_CALLBACK')]

ThreadType

Defined in answer_rocket.chat

ThreadType = Literal[('CHAT', 'COPILOT_QUESTION_PREVIEW', 'RESEARCH', 'SHARED', 'SKILL', 'TEST')]

Type Classes

MaxResult

Defined in answer_rocket.types

Base result class for AnswerRocket API operations.

Attributes:

  • success (bool): Whether the operation succeeded. Defaults to False.
  • code (int | str | None): Error code or status code from the operation.
  • error (str | None): Error message if the operation failed.

ExecuteSqlQueryResult

Defined in answer_rocket.data

Result object for SQL query execution operations.

Attributes:

  • df (DataFrame | None): The result of the SQL query as a pandas DataFrame.
  • data (deprecated): Deprecated field. Use df instead for DataFrame results.

DomainObjectResult

Defined in answer_rocket.data

Result object for domain object retrieval operations.

RunMaxSqlGenResult

Defined in answer_rocket.data

Result object for Max SQL generation operations.

Attributes:

  • sql (str | None): The generated SQL query string.
  • df (DataFrame | None): The result of executing the generated SQL as a pandas DataFrame.
  • row_limit (int | None): The row limit applied to the SQL query.
  • data (deprecated): Deprecated field. Use df instead for DataFrame results.

RunSqlAiResult

Defined in answer_rocket.data

Result object for SQL AI generation operations.

Attributes:

  • sql (str | None): The generated SQL query string.
  • df (DataFrame | None): The result of executing the generated SQL as a pandas DataFrame.
  • rendered_prompt (str | None): The rendered prompt used for the AI generation.
  • column_metadata_map (Dict[str, any] | None): Metadata mapping for columns in the result.
  • title (str | None): The generated title for the query result.
  • explanation (str | None): An explanation of the generated SQL query.
  • data (deprecated): Deprecated field. Use df instead for DataFrame results.
  • timing_info (Dict[str, any] | None): Performance timing information for the operation.
  • prior_runs (List[RunSqlAiResult]): List of prior runs for comparison or iteration tracking.

RunSkillResult

Defined in answer_rocket.skill

Result object for synchronous skill execution.

Attributes:

AsyncSkillRunResult

Defined in answer_rocket.skill

Result object for asynchronous skill execution.

Attributes:

  • execution_id (str | None): The unique execution ID for tracking the async skill run.

ChatLoadingInfo

Defined in answer_rocket.output

Describes the loading state of an object in chat.

Attributes:

  • message (str): User-friendly message to describe the current loading step.

ContentBlock

Defined in answer_rocket.output

Represents a block of content that is produced by a skill and displayed to the user.

Blocks contain metadata as well as their final XML payload.

Attributes:

  • id (str): Unique ID for the block.
  • title (str | None): The user-friendly name of the block that will be displayed on the frontend.
  • loading_info (ChatLoadingInfo | None): Details around the block's current loading state.
  • payload (str | None): XML payload for the block to display, represented as a string.
  • is_collapsible (bool | None): Whether or not the block can be collapsed by the user.
  • layout_json (str | None): An alternative to payload, this is a JSON representation of the block's visual layout.

ChatReportOutput

Defined in answer_rocket.output

Contains all the possible information a report can return to the chat pipeline.

Attributes:

  • payload (str | None): The complete XML string for the entire report.
  • content_blocks (List[ContentBlock]): List of content blocks to display.
  • suggestions (List[str]): List of suggested follow-up questions.
  • interpretation_notes (List[str]): List of notes about how the query was interpreted.
  • final_message (str): Final message to display to the user.
  • info (Any | None): Any additional information the skill wants to include, typically for debugging.

LlmChatMessage

Defined in answer_rocket.llm

A chat message for passing to an LLM API.

Attributes:

  • role (str): The role of the participant in this chat.
  • content (str): The chat message.

LlmFunctionProperty

Defined in answer_rocket.llm

Property definition for LLM function parameters.

Attributes:

  • type (str): The data type of the property.
  • description (str): Description of what the property represents.

LlmFunctionParameters

Defined in answer_rocket.llm

Parameters definition for an LLM function.

Attributes:

  • type (str): The type of parameters (typically 'object').
  • properties (dict[str, LlmFunctionProperty]): Dictionary of property definitions.
  • required (list[str]): List of required property names.

LlmFunction

Defined in answer_rocket.llm

Function definition for LLM tool calling.

Attributes:

  • name (str): The name of the function.
  • description (str): Description of what the function does.
  • parameters (LlmFunctionParameters): Parameter definitions for the function.

ClientConfig

Defined in answer_rocket.client_config

Configuration object for AnswerRocket client initialization.

Attributes:

  • url (str): Environment URL.
  • token (str | None): Authentication token.
  • tenant (str | None): Tenant ID, provided automatically.
  • is_live_run (bool): Set when the client is used in a skill run (as opposed to running locally).
  • answer_id (str | None): The skill run answer_id that any answer-updating calls will use.
  • entry_answer_id (str | None): The answer_id for the chat entry being created.
  • user_id (str | None): Provided automatically or implicitly via the auth token.
  • copilot_id (str | None): The copilot the skill is running within.
  • copilot_skill_id (str | None): The id of the skill in the environment.
  • resource_base_path (str | None): The base path to use for resources.
  • thread_id (str | None): The thread ID for chat interactions.
  • chat_entry_id (str | None): The chat entry ID for the current interaction.
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