ProductLLMUsageResponse
Идентификатор продукта (рабочего пространства), которому принадлежит запись. Большинство эндпоинтов разграничивают доступ по продукту.
data object[]required
llm_type object
- LLMType
- null
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]
00000cache_reads_per_cache_write object
- number
- null
0{
"product_id": 0,
"dt_from": "2024-07-29T15:51:28.071Z",
"dt_to": "2024-07-29T15:51:28.071Z",
"data": [
{
"llm_type": "chatbot",
"model_vendor": "string",
"model_name": "string",
"total_input": 0,
"total_output": 0,
"total_cache_write": 0,
"total_cache_read": 0,
"total_input_cost": 0,
"total_output_cost": 0,
"total_cache_write_cost": 0,
"total_cache_read_cost": 0,
"total_cost": 0,
"cache_hit_percent": 0,
"cache_reads_per_cache_write": 0,
"total_percent_saved": 0
}
]
}