id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
36,622 | from typing import Any, Dict, List, Optional, Sequence, Tuple
from llama_index.legacy.core.llms.types import ChatMessage, MessageRole
from llama_index.legacy.llms.generic_utils import get_from_param_or_env
DEFAULT_ANYSCALE_API_BASE = "https://api.endpoints.anyscale.com/v1"
DEFAULT_ANYSCALE_API_VERSION = ""
def get_fro... | "Resolve OpenAI credentials. The order of precedence is: 1. param 2. env 3. openai module 4. default |
36,623 | import asyncio
from abc import abstractmethod
from contextlib import contextmanager
from typing import (
Any,
AsyncGenerator,
Callable,
Generator,
Sequence,
cast,
)
from llama_index.legacy.bridge.pydantic import Field, validator
from llama_index.legacy.callbacks import CallbackManager, CBEventTy... | null |
36,624 | import asyncio
from abc import abstractmethod
from contextlib import contextmanager
from typing import (
Any,
AsyncGenerator,
Callable,
Generator,
Sequence,
cast,
)
from llama_index.legacy.bridge.pydantic import Field, validator
from llama_index.legacy.callbacks import CallbackManager, CBEventTy... | null |
36,625 | from typing import List, Sequence
from llama_index.legacy.constants import AI21_J2_CONTEXT_WINDOW, COHERE_CONTEXT_WINDOW
from llama_index.legacy.core.llms.types import ChatMessage, LLMMetadata, MessageRole
from llama_index.legacy.llms.anyscale_utils import anyscale_modelname_to_contextsize
from llama_index.legacy.llms.... | null |
36,626 | from typing import List, Sequence
from llama_index.legacy.constants import AI21_J2_CONTEXT_WINDOW, COHERE_CONTEXT_WINDOW
from llama_index.legacy.core.llms.types import ChatMessage, LLMMetadata, MessageRole
from llama_index.legacy.llms.anyscale_utils import anyscale_modelname_to_contextsize
from llama_index.legacy.llms.... | null |
36,627 | from typing import List, Sequence
from llama_index.legacy.constants import AI21_J2_CONTEXT_WINDOW, COHERE_CONTEXT_WINDOW
from llama_index.legacy.core.llms.types import ChatMessage, LLMMetadata, MessageRole
from llama_index.legacy.llms.anyscale_utils import anyscale_modelname_to_contextsize
from llama_index.legacy.llms.... | Get LLM metadata from llm. |
36,629 | from http import HTTPStatus
from typing import Any, Dict, List, Optional, Sequence, Tuple
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS, DEFAULT_TEMPERATURE
from llama_index.legacy.core.llms.type... | null |
36,630 | import logging
from threading import Thread
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Sequence, Union
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.constants import (
DEFAULT_CONTEXT_WIN... | Convert ChatMessages to keyword arguments for Inference API conversational. |
36,631 | import json
from typing import Sequence
from llama_index.legacy.prompts.base import PromptTemplate
from llama_index.legacy.question_gen.types import SubQuestion
from llama_index.legacy.tools.types import ToolMetadata
class ToolMetadata:
description: str
name: Optional[str] = None
fn_schema: Optional[Type[B... | null |
36,640 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | null |
36,641 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Args: model_name(str): the model name of the tokenizer. For instance, fxmarty/tiny-llama-fast-tokenizer. |
36,644 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Infer the input to torch.device. |
36,647 | import json
import os
import sys
from collections import defaultdict
from typing import Dict, List
import numpy as np
import tiktoken
def validate_json(data_path: str) -> None:
# Load dataset
with open(data_path) as f:
dataset = [json.loads(line) for line in f]
# We can inspect the data quickly by... | null |
36,648 | import re
from dataclasses import dataclass
from typing import List, Optional
from tqdm.auto import tqdm
from llama_index.legacy import VectorStoreIndex, get_tokenizer
from llama_index.legacy.llms import ChatMessage, OpenAI
from llama_index.legacy.llms.llm import LLM
from llama_index.legacy.node_parser import TokenText... | null |
36,649 | import re
from dataclasses import dataclass
from typing import List, Optional
from tqdm.auto import tqdm
from llama_index.legacy import VectorStoreIndex, get_tokenizer
from llama_index.legacy.llms import ChatMessage, OpenAI
from llama_index.legacy.llms.llm import LLM
from llama_index.legacy.node_parser import TokenText... | null |
36,650 | import random
from typing import Any, List, Optional, Tuple
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.finetuning import EmbeddingQAFinetuneDataset
from llama_index.legacy.indices.query.embedding_utils import get_top_k_embeddings
class CohereRerankerFinetuneDataset(BaseModel):
... | null |
36,651 | from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Type
import torch
import transformers
from sentence_transformers.util import cos_sim
from torch import Tensor, nn
from torch.optim import Optimizer
from tqdm.autonotebook import trange
from llama_index.legacy.embeddings.adapter_utils impor... | Train model. |
36,652 | import json
import re
import uuid
from typing import Dict, List, Tuple
from tqdm import tqdm
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.llms.utils import LLM
from llama_index.legacy.schema import MetadataMode, TextNode
class EmbeddingQAFinetuneDataset(BaseModel):
"""Embedding Q... | Generate examples given a set of nodes. |
36,653 | import argparse
from typing import Any, Optional
from llama_index.legacy.command_line.rag import RagCLI, default_ragcli_persist_dir
from llama_index.legacy.embeddings import OpenAIEmbedding
from llama_index.legacy.ingestion import IngestionCache, IngestionPipeline
from llama_index.legacy.llama_dataset.download import (... | null |
36,654 | import argparse
from typing import Any, Optional
from llama_index.legacy.command_line.rag import RagCLI, default_ragcli_persist_dir
from llama_index.legacy.embeddings import OpenAIEmbedding
from llama_index.legacy.ingestion import IngestionCache, IngestionPipeline
from llama_index.legacy.llama_dataset.download import (... | null |
36,655 | import argparse
from typing import Any, Optional
from llama_index.legacy.command_line.rag import RagCLI, default_ragcli_persist_dir
from llama_index.legacy.embeddings import OpenAIEmbedding
from llama_index.legacy.ingestion import IngestionCache, IngestionPipeline
from llama_index.legacy.llama_dataset.download import (... | null |
36,656 | import asyncio
import os
import shutil
from argparse import ArgumentParser
from glob import iglob
from pathlib import Path
from typing import Any, Callable, Dict, Optional, Union, cast
from llama_index.legacy import (
Response,
ServiceContext,
SimpleDirectoryReader,
VectorStoreIndex,
)
from llama_index.... | null |
36,657 | import logging
from typing import Any, Callable, List, Optional, Tuple, Union
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_SIMILARITY_TOP_K
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.embeddings import BaseEmb... | null |
36,658 | import logging
from typing import Any, Callable, List, Optional, Tuple, Union
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_SIMILARITY_TOP_K
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.embeddings import BaseEmb... | null |
36,659 | import logging
from typing import Callable, List, Optional, cast
from nltk.stem import PorterStemmer
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_SIMILARITY_TOP_K
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.in... | null |
36,660 | import logging
from dataclasses import dataclass
from typing import Any, List, Optional, cast
import llama_index.legacy
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.embeddings.base import BaseEmbedding
from llama_inde... | Get default node parser. |
36,661 | import logging
from dataclasses import dataclass
from typing import Any, List, Optional, cast
import llama_index.legacy
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.embeddings.base import BaseEmbedding
from llama_inde... | Get default prompt helper. |
36,662 | import logging
from dataclasses import dataclass
from typing import Any, List, Optional, cast
import llama_index.legacy
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.embeddings.base import BaseEmbedding
from llama_inde... | Helper function to set the global service context. |
36,663 | from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, cast
from llama_index.legacy.callbacks.base_handler import BaseCallbackHandler
from llama_index.legacy.callbacks.schema import CBEventType, EventPayload
from llama_index.legacy.utilities.token_counting import TokenCounter
from lla... | null |
36,664 | import asyncio
import functools
import logging
from typing import Any, Callable, cast
from llama_index.legacy.callbacks.base import CallbackManager
logger = logging.getLogger(__name__)
class CallbackManager(BaseCallbackHandler, ABC):
"""
Callback manager that handles callbacks for events within LlamaIndex.
... | Decorator to trace a method. Example: @trace_method("my_trace_id") def my_method(self): pass Assumes that the self instance has a CallbackManager instance in an attribute named `callback_manager`. This can be overridden by passing in a `callback_manager_attr` keyword argument. |
36,665 | import importlib
import uuid
from dataclasses import dataclass, field, fields
from datetime import datetime
from types import ModuleType
from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Optional, TypeVar
from llama_index.legacy.callbacks.base_handler import BaseCallbackHandler
from llama_index.leg... | Generates a random ID. Returns: str: A random ID. |
36,666 | import importlib
import uuid
from dataclasses import dataclass, field, fields
from datetime import datetime
from types import ModuleType
from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Optional, TypeVar
from llama_index.legacy.callbacks.base_handler import BaseCallbackHandler
from llama_index.leg... | Converts a list of BaseDataType to a pandas dataframe. Args: data (Iterable[BaseDataType]): A list of BaseDataType. Returns: DataFrame: The converted pandas dataframe. |
36,667 | from typing import Any
from llama_index.legacy.callbacks.argilla_callback import argilla_callback_handler
from llama_index.legacy.callbacks.arize_phoenix_callback import (
arize_phoenix_callback_handler,
)
from llama_index.legacy.callbacks.base_handler import BaseCallbackHandler
from llama_index.legacy.callbacks.de... | Set global eval handlers. |
36,669 | from abc import abstractmethod
from typing import Any, List, Sequence, Union
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.core.query_pipeline.query_component import (
ChainableMixin,
QueryComponent,
)
from llama_index.legacy.prompts.mixin import PromptMixin, PromptMixinType
f... | null |
36,670 | from abc import abstractmethod
from typing import Any, List, Sequence, Union
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.core.query_pipeline.query_component import (
ChainableMixin,
QueryComponent,
)
from llama_index.legacy.prompts.mixin import PromptMixin, PromptMixinType
f... | null |
36,671 | import asyncio
from abc import abstractmethod
from enum import Enum
from typing import Any, Callable, Coroutine, List, Optional, Tuple
import numpy as np
from llama_index.legacy.bridge.pydantic import Field, validator
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.callbacks.schema... | Mean aggregation for embeddings. |
36,672 | from inspect import signature
from typing import Any, Callable, Dict, Optional, Set, Tuple
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.query_pipeline.query_component import (
InputKeys,
OutputKeys,
... | Get parameters from function. Returns: Tuple[Set[str], Set[str]]: required and optional parameters |
36,673 | from abc import ABC, abstractmethod
from typing import (
Any,
Callable,
Dict,
Generator,
List,
Optional,
Set,
Union,
cast,
get_args,
)
from llama_index.legacy.bridge.pydantic import BaseModel, Field
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.le... | null |
36,674 | from typing import Any, List, Type
from llama_index.legacy.bridge.pydantic import BaseModel, Field, create_model
from llama_index.legacy.llms.llm import LLM
from llama_index.legacy.output_parsers.pydantic import PydanticOutputParser
from llama_index.legacy.prompts.base import PromptTemplate
from llama_index.legacy.type... | Create a list version of an existing Pydantic object. |
36,675 | from typing import Any, List, Type
from llama_index.legacy.bridge.pydantic import BaseModel, Field, create_model
from llama_index.legacy.llms.llm import LLM
from llama_index.legacy.output_parsers.pydantic import PydanticOutputParser
from llama_index.legacy.prompts.base import PromptTemplate
from llama_index.legacy.type... | Get a program based on the compatible LLM. |
36,676 | import random
import re
import signal
from collections import defaultdict
from contextlib import contextmanager
from typing import Any, Dict, List, Optional, Set, Tuple
from llama_index.legacy.program.predefined.evaporate.prompts import (
DEFAULT_EXPECTED_OUTPUT_PREFIX_TMPL,
DEFAULT_FIELD_EXTRACT_QUERY_TMPL,
... | Time limit context manager. NOTE: copied from https://github.com/HazyResearch/evaporate. |
36,677 | import random
import re
import signal
from collections import defaultdict
from contextlib import contextmanager
from typing import Any, Dict, List, Optional, Set, Tuple
from llama_index.legacy.program.predefined.evaporate.prompts import (
DEFAULT_EXPECTED_OUTPUT_PREFIX_TMPL,
DEFAULT_FIELD_EXTRACT_QUERY_TMPL,
... | Get function field from attribute. NOTE: copied from https://github.com/HazyResearch/evaporate. |
36,678 | import random
import re
import signal
from collections import defaultdict
from contextlib import contextmanager
from typing import Any, Dict, List, Optional, Set, Tuple
from llama_index.legacy.program.predefined.evaporate.prompts import (
DEFAULT_EXPECTED_OUTPUT_PREFIX_TMPL,
DEFAULT_FIELD_EXTRACT_QUERY_TMPL,
... | Extract field dictionaries. |
36,679 | import logging
from typing import Any, Dict, Generator, List, Optional, Tuple, Type, Union, cast
from llama_index.legacy.agent.openai.utils import resolve_tool_choice
from llama_index.legacy.llms.llm import LLM
from llama_index.legacy.llms.openai import OpenAI
from llama_index.legacy.llms.openai_utils import OpenAITool... | Default OpenAI tool to choose. |
36,680 | import logging
from typing import Any, Dict, Generator, List, Optional, Tuple, Type, Union, cast
from llama_index.legacy.agent.openai.utils import resolve_tool_choice
from llama_index.legacy.llms.llm import LLM
from llama_index.legacy.llms.openai import OpenAI
from llama_index.legacy.llms.openai_utils import OpenAITool... | Extract JSON str from raw string and start index. |
36,681 | import logging
from typing import Any, Dict, Generator, List, Optional, Tuple, Type, Union, cast
from llama_index.legacy.agent.openai.utils import resolve_tool_choice
from llama_index.legacy.llms.llm import LLM
from llama_index.legacy.llms.openai import OpenAI
from llama_index.legacy.llms.openai_utils import OpenAITool... | null |
36,682 | from llama_index.legacy.llm_predictor.base import BaseLLMPredictor, LLMPredictor
from llama_index.legacy.llm_predictor.mock import MockLLMPredictor
from llama_index.legacy.llm_predictor.structured import StructuredLLMPredictor
from llama_index.legacy.llm_predictor.vellum.predictor import VellumPredictor
class BaseLLMP... | Load predictor by class name. |
36,683 | import re
def convert_to_kebab_case(input_string: str) -> str:
matches = re.findall(
r"/[A-Z]{2,}(?=[A-Z][a-z]+[0-9]*|\b)|[A-Z]?[a-z]+[0-9]*|[A-Z]|[0-9]+/g",
input_string.lower(),
)
return "-".join(matches) | null |
36,684 | from typing import Any, Dict
from deprecated import deprecated
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types import LLMMetadata
from llam... | Mock summary predict. |
36,685 | from typing import Any, Dict
from deprecated import deprecated
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types import LLMMetadata
from llam... | Mock insert predict. |
36,686 | from typing import Any, Dict
from deprecated import deprecated
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types import LLMMetadata
from llam... | Mock query select. |
36,687 | from typing import Any, Dict
from deprecated import deprecated
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types import LLMMetadata
from llam... | Mock query select. |
36,688 | from typing import Any, Dict
from deprecated import deprecated
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types import LLMMetadata
from llam... | Mock answer. |
36,689 | from typing import Any, Dict
from deprecated import deprecated
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types import LLMMetadata
from llam... | Mock refine. |
36,690 | from typing import Any, Dict
from deprecated import deprecated
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types import LLMMetadata
from llam... | Mock keyword extract. |
36,691 | from typing import Any, Dict
from deprecated import deprecated
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types import LLMMetadata
from llam... | Mock query keyword extract. |
36,692 | from typing import Any, Dict
from deprecated import deprecated
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types import LLMMetadata
from llam... | Mock knowledge graph triplet extract. |
36,693 | from llama_index.legacy.extractors.metadata_extractors import (
BaseExtractor,
EntityExtractor,
KeywordExtractor,
QuestionsAnsweredExtractor,
SummaryExtractor,
TitleExtractor,
)
class TitleExtractor(BaseExtractor):
"""Title extractor. Useful for long documents. Extracts `document_title`
... | null |
36,695 | import os
from typing import TYPE_CHECKING, List, Optional, Union
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.clip import ClipEmbedding
from llama_index.legacy.embeddings.huggingface import HuggingFaceEmbedding
from llama_index.legacy.embeddings.huggingface_utils impo... | Save embedding to file. |
36,696 | import os
from typing import TYPE_CHECKING, List, Optional, Union
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.clip import ClipEmbedding
from llama_index.legacy.embeddings.huggingface import HuggingFaceEmbedding
from llama_index.legacy.embeddings.huggingface_utils impo... | Load embedding from file. Will only return first embedding in file. |
36,697 | from typing import Dict, Type
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.google import GoogleUnivSentEncoderEmbedding
from llama_index.legacy.embeddings.huggingface import HuggingFaceEmbedding
from llama_index.legacy.embeddings.langchain import LangchainEmbedding
fro... | Load Embedding by name. |
36,701 | from typing import Any, Dict, List, Optional
import httpx
from openai import AsyncOpenAI, OpenAI
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.embeddings.bas... | Get embedding. NOTE: Copied from OpenAI's embedding utils: https://github.com/openai/openai-python/blob/main/openai/embeddings_utils.py Copied here to avoid importing unnecessary dependencies like matplotlib, plotly, scipy, sklearn. |
36,702 | from typing import Any, Dict, List, Optional
import httpx
from openai import AsyncOpenAI, OpenAI
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.embeddings.bas... | Asynchronously get embedding. NOTE: Copied from OpenAI's embedding utils: https://github.com/openai/openai-python/blob/main/openai/embeddings_utils.py Copied here to avoid importing unnecessary dependencies like matplotlib, plotly, scipy, sklearn. |
36,703 | from typing import Any, Dict, List, Optional
import httpx
from openai import AsyncOpenAI, OpenAI
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.embeddings.bas... | Get embeddings. NOTE: Copied from OpenAI's embedding utils: https://github.com/openai/openai-python/blob/main/openai/embeddings_utils.py Copied here to avoid importing unnecessary dependencies like matplotlib, plotly, scipy, sklearn. |
36,704 | from typing import Any, Dict, List, Optional
import httpx
from openai import AsyncOpenAI, OpenAI
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.embeddings.bas... | Asynchronously get embeddings. NOTE: Copied from OpenAI's embedding utils: https://github.com/openai/openai-python/blob/main/openai/embeddings_utils.py Copied here to avoid importing unnecessary dependencies like matplotlib, plotly, scipy, sklearn. |
36,705 | from enum import Enum
from typing import Any, Dict, List, Optional, Tuple
import httpx
from openai import AsyncOpenAI, OpenAI
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.embeddings.base import BaseEmbedding
from ... | Get embedding. NOTE: Copied from OpenAI's embedding utils: https://github.com/openai/openai-python/blob/main/openai/embeddings_utils.py Copied here to avoid importing unnecessary dependencies like matplotlib, plotly, scipy, sklearn. |
36,706 | from enum import Enum
from typing import Any, Dict, List, Optional, Tuple
import httpx
from openai import AsyncOpenAI, OpenAI
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.embeddings.base import BaseEmbedding
from ... | Asynchronously get embedding. NOTE: Copied from OpenAI's embedding utils: https://github.com/openai/openai-python/blob/main/openai/embeddings_utils.py Copied here to avoid importing unnecessary dependencies like matplotlib, plotly, scipy, sklearn. |
36,707 | from enum import Enum
from typing import Any, Dict, List, Optional, Tuple
import httpx
from openai import AsyncOpenAI, OpenAI
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.embeddings.base import BaseEmbedding
from ... | Get embeddings. NOTE: Copied from OpenAI's embedding utils: https://github.com/openai/openai-python/blob/main/openai/embeddings_utils.py Copied here to avoid importing unnecessary dependencies like matplotlib, plotly, scipy, sklearn. |
36,708 | from enum import Enum
from typing import Any, Dict, List, Optional, Tuple
import httpx
from openai import AsyncOpenAI, OpenAI
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.embeddings.base import BaseEmbedding
from ... | Asynchronously get embeddings. NOTE: Copied from OpenAI's embedding utils: https://github.com/openai/openai-python/blob/main/openai/embeddings_utils.py Copied here to avoid importing unnecessary dependencies like matplotlib, plotly, scipy, sklearn. |
36,709 | from enum import Enum
from typing import Any, Dict, List, Optional, Tuple
import httpx
from openai import AsyncOpenAI, OpenAI
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.embeddings.base import BaseEmbedding
from ... | Get engine. |
36,710 | import logging
from enum import Enum
from http import HTTPStatus
from typing import Any, Dict, List, Optional, Union
from pydantic import PrivateAttr
from llama_index.legacy.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.legacy.schema import ImageType
logger = logging.getLogger(__name__)
The p... | Call DashScope text embedding. ref: https://help.aliyun.com/zh/dashscope/developer-reference/text-embedding-api-details. Args: model (str): The `DashScopeTextEmbeddingModels` text (Union[str, List[str]]): text or list text to embedding. Raises: ImportError: need import dashscope Returns: List[List[float]]: The list of ... |
36,711 | import logging
from enum import Enum
from http import HTTPStatus
from typing import Any, Dict, List, Optional, Union
from pydantic import PrivateAttr
from llama_index.legacy.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.legacy.schema import ImageType
logger = logging.getLogger(__name__)
The p... | Call DashScope batch text embedding. Args: model (str): The `DashScopeMultiModalEmbeddingModels` url (str): The url of the file to embedding which with lines of text to embedding. Raises: ImportError: Need install dashscope package. Returns: str: The url of the embedding result, format ref: https://help.aliyun.com/zh/d... |
36,712 | import logging
from enum import Enum
from http import HTTPStatus
from typing import Any, Dict, List, Optional, Union
from pydantic import PrivateAttr
from llama_index.legacy.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.legacy.schema import ImageType
logger = logging.getLogger(__name__)
class... | Call DashScope multimodal embedding. ref: https://help.aliyun.com/zh/dashscope/developer-reference/one-peace-multimodal-embedding-api-details. Args: model (str): The `DashScopeBatchTextEmbeddingModels` input (str): The input of the embedding, eg: [{'factor': 1, 'text': '你好'}, {'factor': 2, 'audio': 'https://dashscope.o... |
36,713 | from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseGen,
MessageRole,
)
from llama_index.legacy.types import TokenGen
class MessageRole(str, Enum):
"""Message role."""
SYSTEM = "system"
USER = "user"
ASSISTANT = "assistant"
FUNCTION = "function"
... | null |
36,714 | import asyncio
import logging
import queue
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from enum import Enum
from threading import Event
from typing import AsyncGenerator, Generator, List, Optional, Union
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse... | Utility for ChatMessage responses from OpenAI models. |
36,719 | import logging
from typing import Dict, List, Optional, cast
from llama_index.legacy.bridge.pydantic import Field, validator
from llama_index.legacy.postprocessor.types import BaseNodePostprocessor
from llama_index.legacy.prompts.base import PromptTemplate
from llama_index.legacy.response_synthesizers import (
Resp... | Get forward nodes. |
36,720 | import logging
from typing import Dict, List, Optional, cast
from llama_index.legacy.bridge.pydantic import Field, validator
from llama_index.legacy.postprocessor.types import BaseNodePostprocessor
from llama_index.legacy.prompts.base import PromptTemplate
from llama_index.legacy.response_synthesizers import (
Resp... | Get backward nodes. |
36,721 | from __future__ import annotations
import asyncio
import re
from typing import Any, Callable, Optional, Sequence, Tuple
from llama_index.legacy import ServiceContext
from llama_index.legacy.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.legacy.prompts import BasePromptTemplate, PromptTemplate
f... | null |
36,722 | from __future__ import annotations
import asyncio
import re
from typing import Any, Callable, Optional, Sequence, Tuple
from llama_index.legacy import ServiceContext
from llama_index.legacy.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.legacy.indices import SummaryIndex
from llama_index.legacy... | null |
36,723 | import asyncio
from typing import Any, Dict, List, Optional, Sequence, Tuple, cast
from llama_index.legacy.async_utils import asyncio_module
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.response.schema import RESPONSE_TYPE, Response
from llama_index.legacy.evaluatio... | Get aevaluate_response tasks with semaphore. |
36,724 | import asyncio
from typing import Any, Dict, List, Optional, Sequence, Tuple, cast
from llama_index.legacy.async_utils import asyncio_module
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.response.schema import RESPONSE_TYPE, Response
from llama_index.legacy.evaluatio... | Get aevaluate tasks with semaphore. |
36,725 | import asyncio
from typing import Any, Dict, List, Optional, Sequence, Tuple, cast
from llama_index.legacy.async_utils import asyncio_module
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.response.schema import RESPONSE_TYPE, Response
from llama_index.legacy.evaluatio... | Get aquery tasks with semaphore. |
36,726 | import json
import os
import re
import string
from collections import Counter
from shutil import rmtree
from typing import Any, Dict, List, Optional, Tuple
import requests
import tqdm
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.base_retriever import BaseRetriever
f... | null |
36,727 | import json
import os
import re
import string
from collections import Counter
from shutil import rmtree
from typing import Any, Dict, List, Optional, Tuple
import requests
import tqdm
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.base_retriever import BaseRetriever
f... | null |
36,728 | import asyncio
from enum import Enum
from typing import Any, Callable, Optional, Sequence, Tuple, Union
from llama_index.legacy import ServiceContext
from llama_index.legacy.evaluation.base import (
BaseEvaluator,
EvaluationResult,
)
from llama_index.legacy.prompts import (
BasePromptTemplate,
ChatMessa... | null |
36,729 | import asyncio
from collections import defaultdict
from typing import Any, List, Optional, Tuple
import numpy as np
import pandas as pd
from llama_index.legacy.async_utils import asyncio_module
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.evaluation.base import Evaluatio... | Get responses. Sync version of aget_responses. |
36,730 | import asyncio
from collections import defaultdict
from typing import Any, List, Optional, Tuple
import numpy as np
import pandas as pd
from llama_index.legacy.async_utils import asyncio_module
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.evaluation.base import Evaluatio... | Get results df. Args: eval_results_list (List[EvaluationResult]): List of evaluation results. names (List[str]): Names of the evaluation results. metric_keys (List[str]): List of metric keys to get. |
36,731 | import asyncio
from collections import defaultdict
from typing import Any, List, Optional, Tuple
import numpy as np
import pandas as pd
from llama_index.legacy.async_utils import asyncio_module
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.evaluation.base import Evaluatio... | Default parser function for evaluation response. Args: eval_response (str): The response string from the evaluation. Returns: Tuple[float, str]: A tuple containing the score as a float and the reasoning as a string. |
36,732 | from collections import defaultdict
from typing import List, Optional, Tuple
import pandas as pd
from llama_index.legacy.evaluation import EvaluationResult
from llama_index.legacy.evaluation.retrieval.base import RetrievalEvalResult
DEFAULT_METRIC_KEYS = ["hit_rate", "mrr"]
class RetrievalEvalResult(BaseModel):
""... | Display retrieval results. |
36,733 | from collections import defaultdict
from typing import List, Optional, Tuple
import pandas as pd
from llama_index.legacy.evaluation import EvaluationResult
from llama_index.legacy.evaluation.retrieval.base import RetrievalEvalResult
The provided code snippet includes necessary dependencies for implementing the `get_ev... | Organizes EvaluationResults into a deep dataframe and computes the mean score. result: result_df: pd.DataFrame representing all the evaluation results mean_df: pd.DataFrame of average scores groupby names |
36,734 | import os
from typing import Any, Callable, Dict, List, Literal, Optional, Type
import numpy as np
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.evaluation.retrieval.metrics_base import (
BaseRetrievalMetric,
RetrievalMetricResult,
)
METRIC_REGISTRY: Dict[str, Type[Ba... | Resolve metrics from list of metric names. |
36,735 | import asyncio
import multiprocessing
import re
import warnings
from concurrent.futures import ProcessPoolExecutor
from enum import Enum
from functools import partial, reduce
from hashlib import sha256
from itertools import repeat
from pathlib import Path
from typing import Any, Generator, List, Optional, Sequence, Uni... | Run a series of transformations on a set of nodes. Args: nodes: The nodes to transform. transformations: The transformations to apply to the nodes. Returns: The transformed nodes. |
36,736 | import asyncio
import multiprocessing
import re
import warnings
from concurrent.futures import ProcessPoolExecutor
from enum import Enum
from functools import partial, reduce
from hashlib import sha256
from itertools import repeat
from pathlib import Path
from typing import Any, Generator, List, Optional, Sequence, Uni... | Wrapper for async run_transformation. To be used in loop.run_in_executor within a ProcessPoolExecutor. |
36,737 | import logging
from typing import Callable, Dict, Optional, Union
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.response.schema import RESPONSE_TYPE, Response
from llama_index.legacy.indices.query.query_tr... | Default check stop function. |
36,738 | import logging
from typing import Callable, Dict, Optional, Union
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.response.schema import RESPONSE_TYPE, Response
from llama_index.legacy.indices.query.query_tr... | Format SQL query. |
36,739 | from typing import Any, Dict, List, Optional, Sequence, Tuple
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.callbacks.schema import CBEventType, EventPayload
from llama_index.legacy.core.response.schema import RESPONSE_TYPE, Response
from llama_index.legacy.indices.multi_modal im... | null |
36,740 | from typing import Any, Callable, Optional
from llama_index.legacy.query_engine.flare.schema import QueryTask
from llama_index.legacy.types import BaseOutputParser
The provided code snippet includes necessary dependencies for implementing the `default_parse_is_done_fn` function. Write a Python function `def default_pa... | Default parse is done function. |
36,741 | from typing import Any, Callable, Optional
from llama_index.legacy.query_engine.flare.schema import QueryTask
from llama_index.legacy.types import BaseOutputParser
The provided code snippet includes necessary dependencies for implementing the `default_format_done_answer` function. Write a Python function `def default_... | Default format done answer. |
36,742 | import logging
from typing import Any, Dict, Optional
import numpy as np
import pandas as pd
from llama_index.legacy.exec_utils import safe_eval, safe_exec
from llama_index.legacy.output_parsers.base import ChainableOutputParser
from llama_index.legacy.output_parsers.utils import parse_code_markdown
logger = logging.ge... | Process outputs in a default manner. |
36,743 | import asyncio
import json
import logging
from typing import Any, Callable, Dict, List, Optional, Tuple
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.response.schema import Response
from llama_index.legacy.indices.struct_store.sql_retriever import (
BaseSQLParser... | Load the JSONalyzer. Args: use_async (bool): Whether to use async. custom_jsonalyzer (Callable): A custom JSONalyzer to use. Returns: Callable: The JSONalyzer. |
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