Dynamic Pydantic works with any OpenAI-compatible endpoint via LiteLLM. from dynamic_pydantic import dynamic_model genModel = dynamic_model(prompt='User = Name, Age') print(f'{genModel.schema_json()}') # {"properties": {"Name": {"default": null, "description": "The user's name", "ti...
# 需要导入模块: import pydantic [as 别名]# 或者: from pydantic importcreate_model[as 别名]deftest_repeat_base_usage():classModel(BaseModel):a: strassertModel.__fields__.keys() == {'a'} model =create_model('FooModel', b=1, __base__=Model)assertModel.__fields__.keys() == {'a...
from pydantic_extra_types.currency_code import ISO4217 class Availability(str, Enum): IN_STOCK = "In Stock" OUT_OF_STOCK = "Out Of Stock" PREORDER = "Preorder" class CustomLabels(BaseModel): label_0: str | None = None label_1: str | None = None label_2: str | None = None la...
fromlangchain.schemaimportBaseMemoryfromtypingimportList,Dict,AnyclassRecentKConversationMemory(BaseMemory):"""保存最近5轮对话中JSON文件特定键值的记忆类"""# 定义用来保存最近对话的列表,默认为空recent_conversations:list= []# 定义用来筛选添加到prompt中的实体信息的key,默认为"recent_conversations"memory_key...
)db_product=User(**data_dict)# Using `jsonable_encoder` to convert Pydantic model to dict# db_product = User(**jsonable_encoder(user))db.add(db_product)awaitdb.commit()awaitdb.refresh(db_product)returndb_product To Reproduce Snippet that uses fastapi-users withMappedAsDataclass ...
from pydantic import BaseModel class Asset(BaseModel): name: str address: str symbol: str class MegatonAsset(Asset): type: int isVisible: int class StonfiAsset(BaseModel): contract_address: str display_name: str symbol: str decimals: int community: bool deprecated: bool blacklisted: bool de...
import json from typing import List from pydantic import BaseModel from dotenv import load_dotenv from fastapi import FastAPI, Query from fastapi.responses import StreamingResponse from openai import OpenAI from .utils.prompt import ClientMessage, convert_to_openai_messages from .utils.tools import get...
When parsing the following file: """ AWS federation utilities. """ import json from urllib.parse import quote_plus import requests from pydantic import BaseModel class Credentials(BaseModel): """ AWS credentials. """ sessionId: str sessi...
pydantic_obj # input form pydantic model (note. value is created from this on_change) AutoUi.create_displayfile_renderer # creates a json-serializable pointer AutoUi.parse_file # init ui with data from .json fileAutoUi uses pydantic to define the schema of User Input form, and then ...
from pydantic import Field, BaseModel from typing import Optional, List import httpx from PIL import Image from io import BytesIO import matplotlib.pyplot as plt # Now define chatbot services global datastore datastore = HyphaDataStore() def encode_image(image_path): """This function is for Cha...