AIエージェントのデフォルト構成を取得
AIエージェントのデフォルト構成を取得します
リクエスト
bearer [ACCESS_TOKEN]
application/json
クエリパラメータ
stringクエリ内省略可能
ja返されるエージェント構成のISO言語コード。その言語がサポートされていない場合は、デフォルトのエージェント構成が返されます。
stringクエリ内必須
ask返されるエージェント構成にフィルタをかけるためのモード。
次の値のいずれか1つ: ask,text_gen
stringクエリ内省略可能
openai__gpt_3_5_turbo返されるデフォルトのエージェント構成のモデル。
リクエストの例
cURL
curl -L GET "https://api.box.com/2.0/ai_agent_default?mode=text_gen" \
-H 'Authorization: Bearer <ACCESS_TOKEN>'TypeScript Gen
await client.ai.getAiAgentDefaultConfig({
mode: 'text_gen' as GetAiAgentDefaultConfigQueryParamsModeField,
language: 'en-US',
} satisfies GetAiAgentDefaultConfigQueryParams);Python Gen
client.ai.get_ai_agent_default_config(
GetAiAgentDefaultConfigMode.TEXT_GEN.value, language="en-US"
).NET Gen
await client.Ai.GetAiAgentDefaultConfigAsync(queryParams: new GetAiAgentDefaultConfigQueryParams(mode: GetAiAgentDefaultConfigQueryParamsModeField.TextGen) { Language = "en-US" });Java
BoxAIAgentConfig config = BoxAI.getAiAgentDefaultConfig(
api,
BoxAIAgent.Mode.ASK,
"en",
"openai__gpt_3_5_turbo"
);Python
config = client.get_ai_agent_default_config(
mode='text_gen',
language='en',
model='openai__gpt_3_5_turbo'
)
print(config)Node
client.ai.getAiAgentDefaultConfig({
mode: 'ask',
language: 'en',
model:'openai__gpt_3_5_turbo'
}).then(response => {
/* response -> {
"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": "openai__gpt_3_5_turbo",
"num_tokens_for_completion": 8400,
"prompt_template": "It is `{current_date}`, and I have $8000 and want to spend a week in the Azores. What should I see?",
"system_message": "You are a helpful travel assistant specialized in budget travel"
},
...
} */
});レスポンスの例
{
"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": "openai__gpt_3_5_turbo",
"num_tokens_for_completion": 8400,
"prompt_template": "It is `{current_date}`, consider these travel options `{content}` and answer `{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": "openai__gpt_3_5_turbo",
"num_tokens_for_completion": 8400,
"prompt_template": "It is `{current_date}`, consider these travel options `{content}` and answer `{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": "openai__gpt_3_5_turbo",
"num_tokens_for_completion": 8400,
"prompt_template": "It is `{current_date}`, consider these travel options `{content}` and answer `{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": "openai__gpt_3_5_turbo",
"num_tokens_for_completion": 8400,
"prompt_template": "It is `{current_date}`, consider these travel options `{content}` and answer `{user_question}`",
"system_message": "You are a helpful travel assistant specialized in budget travel"
}
}