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LLMMessageListRead

Lightweight LLM message log entry returned by the dialogue LLM-message list endpoint. The full instructions text is intentionally omitted.

iduuidrequired

Unique numeric identifier of the record.

product_idProduct Idrequired

ID of the product (workspace) that owns this record. Most endpoints scope access by product.

agent_idAgent Idrequired

ID of the agent (a configured AI assistant / bot persona) this record belongs to.

dialogue_idDialogue Idrequired

ID of the dialogue (conversation) this record relates to.

run_iduuidrequired
llm_typeLLMTyperequired

Possible values: [chatbot, classification, document, calendar, ping, stm_agent, meetings_reminder_agent, subagent_routing_agent, summarizer_agent, rag_subpromps_selector_agent, retrieval_mode_classifier, retrieval_query_rewriter, retrieval_reranker, knowledge_unit_context_generator, scrape_url_selector, scrape_page_normalizer, input_sanitizer_agent, input_misuse_agent, email_auto_reply_classifier, customer_support_resolution_classifier, customer_support_csi_classifier, customer_support_request_category_matcher, customer_support_request_category_proposer, refusal_reason_matcher, refusal_reason_proposer, silent_refusal_classifier, lead_timezone_collector_agent, reaction_picker_agent, is_message_for_agent_resolver, incoming_dialogue_router, rl_loop_contrast_analyst, rl_loop_hypothesis_generator, rl_loop_synthesis_agent, rl_loop_ab_test_suggester, rl_loop_prompt_variant_editor, initial_outreach, calendar_service_extractor, tags_extractor, crm_fields_extractor, language_extractor, stage_reset_agent, human_clarification_reset_agent, success_stage_movement_agent, dq_stage_movement_agent, refused_stage_movement_agent, escalated_stage_movement_agent, pending_stage_movement_agent, redirected_stage_movement_agent, stage_movement_arbiter_agent, pending_until_extractor, custom_follow_up_stage_movement_agent, custom_follow_up_datetime_extractor, pending_follow_up_agent, human_clarification_follow_up_agent, human_clarification_question_reformulator, human_clarification_recall_agent, redirect_contacts_extractor, crm_contact_fields_extractor, redirect_follow_up_agent, refiner_agent, output_formatter, tree_nodes_check_agent, tree_nodes_arbiter_agent, redirect_intent_agent]

kindKindrequired

Possible values: [request, response]

partsobject[]required
llm_model_name object
anyOf
string
provider_name object
anyOf
string
input_tokensInput Tokens
Default value: 0
output_tokensOutput Tokens
Default value: 0
total_tokensTotal Tokens
Default value: 0
cache_write_tokensCache Write Tokens
Default value: 0
cache_read_tokensCache Read Tokens
Default value: 0
created_atdate-timerequired

Creation time (UTC, ISO 8601).

seqSeqrequired
after_bot_messages_sequence_id object
anyOf
string
has_instructionsHas Instructions

Whether this LLM message has a non-empty instructions value that can be fetched through the per-message instructions endpoint.

Default value: false
is_client_tool_callIs Client Tool Call
Default value: false
client_tool_calls object[]

Client-tool trace links found in this LLM message. Use call_id to open the corresponding tool trace for the same agent.

  • Array [
  • call_iduuidrequired

    Client-tools trace call identifier. This is the path parameter for the trace endpoints and is not the LLM message row id.

    tool_call_idTool Call Idrequired

    Provider-level tool-call identifier inside the persisted LLM message parts.

    tool_nameTool Namerequired

    Name of the client tool invoked by the model.

  • ]
  • LLMMessageListRead
    {
    "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
    "product_id": 0,
    "agent_id": 0,
    "dialogue_id": 0,
    "run_id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
    "llm_type": "chatbot",
    "kind": "request",
    "parts": [
    {}
    ],
    "llm_model_name": "string",
    "provider_name": "string",
    "input_tokens": 0,
    "output_tokens": 0,
    "total_tokens": 0,
    "cache_write_tokens": 0,
    "cache_read_tokens": 0,
    "created_at": "2024-07-29T15:51:28.071Z",
    "seq": 0,
    "after_bot_messages_sequence_id": "string",
    "has_instructions": false,
    "is_client_tool_call": false,
    "client_tool_calls": [
    {
    "call_id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
    "tool_call_id": "string",
    "tool_name": "string"
    }
    ]
    }