Box Developer Documentation

AI agent for question requests

The AI agent used to handle queries.

string
ai_agent_ask

The type of AI agent used to handle queries.

Value is always ai_agent_ask

object

AI agent processor used to handle basic text.

The parameters for the LLM endpoint specific to OpenAI / Google models.

azure__openai__gpt_3_5_turbo_16k

The model used for the AI agent for basic text. For specific model values, see the available models list.

8400
1

The number of tokens for completion.

(\{user_question\}[\s\S]*?\{content\}|\{content\}[\s\S]*?\{user_question\})
It is `{current_date}`, consider these travel options `{content}` and answer the `{user_question}`.
10000

The prompt template contains contextual information of the request and the user prompt. When passing prompt_template parameters, you must include inputs for {user_question} and {content}. {current_date} is optional, depending on the use.

You are a helpful travel assistant specialized in budget travel

System messages try to help the LLM "understand" its role and what it is supposed to do.

AI agent processor used to handle basic text.

The parameters for the LLM endpoint specific to OpenAI / Google models.

azure__openai__gpt_3_5_turbo_16k

The model used for the AI agent for basic text. For specific model values, see the available models list.

8400
1

The number of tokens for completion.

(\{user_question\}[\s\S]*?\{content\}|\{content\}[\s\S]*?\{user_question\})
It is `{current_date}`, consider these travel options `{content}` and answer the `{user_question}`.
10000

The prompt template contains contextual information of the request and the user prompt. When passing prompt_template parameters, you must include inputs for {user_question} and {content}. {current_date} is optional, depending on the use.

You are a helpful travel assistant specialized in budget travel

System messages try to help the LLM "understand" its role and what it is supposed to do.

object

AI agent processor used to to handle longer text.

openai__text_embedding_ada_002

The model used for the AI agent for calculating embeddings.

basic

The strategy used for the AI agent for calculating embeddings.

64
1
512

The number of tokens per chunk.

The parameters for the LLM endpoint specific to OpenAI / Google models.

azure__openai__gpt_3_5_turbo_16k

The model used for the AI agent for basic text. For specific model values, see the available models list.

8400
1

The number of tokens for completion.

(\{user_question\}[\s\S]*?\{content\}|\{content\}[\s\S]*?\{user_question\})
It is `{current_date}`, consider these travel options `{content}` and answer the `{user_question}`.
10000

The prompt template contains contextual information of the request and the user prompt. When passing prompt_template parameters, you must include inputs for {user_question} and {content}. {current_date} is optional, depending on the use.

You are a helpful travel assistant specialized in budget travel

System messages try to help the LLM "understand" its role and what it is supposed to do.

AI agent processor used to to handle longer text.

openai__text_embedding_ada_002

The model used for the AI agent for calculating embeddings.

basic

The strategy used for the AI agent for calculating embeddings.

64
1
512

The number of tokens per chunk.

The parameters for the LLM endpoint specific to OpenAI / Google models.

azure__openai__gpt_3_5_turbo_16k

The model used for the AI agent for basic text. For specific model values, see the available models list.

8400
1

The number of tokens for completion.

(\{user_question\}[\s\S]*?\{content\}|\{content\}[\s\S]*?\{user_question\})
It is `{current_date}`, consider these travel options `{content}` and answer the `{user_question}`.
10000

The prompt template contains contextual information of the request and the user prompt. When passing prompt_template parameters, you must include inputs for {user_question} and {content}. {current_date} is optional, depending on the use.

You are a helpful travel assistant specialized in budget travel

System messages try to help the LLM "understand" its role and what it is supposed to do.

Response Example

{
  "type": "ai_agent_ask",
  "basic_text": {
    "llm_endpoint_params": {
      "type": "openai_params",
      "frequency_penalty": 1.5,
      "presence_penalty": 1.5,
      "stop": "<|im_end|>",
      "temperature": 0,
      "top_p": 1
    },
    "model": "azure__openai__gpt_3_5_turbo_16k",
    "num_tokens_for_completion": 8400,
    "prompt_template": "It is `{current_date}`, consider these travel options `{content}` and answer the `{user_question}`.",
    "system_message": "You are a helpful travel assistant specialized in budget travel"
  },
  "basic_text_multi": {
    "llm_endpoint_params": {
      "type": "openai_params",
      "frequency_penalty": 1.5,
      "presence_penalty": 1.5,
      "stop": "<|im_end|>",
      "temperature": 0,
      "top_p": 1
    },
    "model": "azure__openai__gpt_3_5_turbo_16k",
    "num_tokens_for_completion": 8400,
    "prompt_template": "It is `{current_date}`, consider these travel options `{content}` and answer the `{user_question}`.",
    "system_message": "You are a helpful travel assistant specialized in budget travel"
  },
  "long_text": {
    "embeddings": {
      "model": "openai__text_embedding_ada_002",
      "strategy": {
        "id": "basic",
        "num_tokens_per_chunk": 64
      }
    },
    "llm_endpoint_params": {
      "type": "openai_params",
      "frequency_penalty": 1.5,
      "presence_penalty": 1.5,
      "stop": "<|im_end|>",
      "temperature": 0,
      "top_p": 1
    },
    "model": "azure__openai__gpt_3_5_turbo_16k",
    "num_tokens_for_completion": 8400,
    "prompt_template": "It is `{current_date}`, consider these travel options `{content}` and answer the `{user_question}`.",
    "system_message": "You are a helpful travel assistant specialized in budget travel"
  },
  "long_text_multi": {
    "embeddings": {
      "model": "openai__text_embedding_ada_002",
      "strategy": {
        "id": "basic",
        "num_tokens_per_chunk": 64
      }
    },
    "llm_endpoint_params": {
      "type": "openai_params",
      "frequency_penalty": 1.5,
      "presence_penalty": 1.5,
      "stop": "<|im_end|>",
      "temperature": 0,
      "top_p": 1
    },
    "model": "azure__openai__gpt_3_5_turbo_16k",
    "num_tokens_for_completion": 8400,
    "prompt_template": "It is `{current_date}`, consider these travel options `{content}` and answer the `{user_question}`.",
    "system_message": "You are a helpful travel assistant specialized in budget travel"
  }
}