id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
36,002 | import logging
from typing import Dict, List, Optional, cast
from llama_index.core.bridge.pydantic import Field, validator
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.prompts.base import PromptTemplate
from llama_index.core.response_synthesizers import (
ResponseMode... | Get backward nodes. |
36,003 | from __future__ import annotations
import asyncio
import re
from typing import Any, Callable, Optional, Sequence, Tuple
from llama_index.core.indices.service_context import ServiceContext
from llama_index.core.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.core.llms.llm import LLM
from llama_in... | null |
36,004 | from __future__ import annotations
import asyncio
import re
from typing import Any, Callable, Optional, Sequence, Tuple
from llama_index.core import ServiceContext
from llama_index.core.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.core.indices import SummaryIndex
from llama_index.core.llms.ll... | null |
36,005 | import asyncio
from typing import Any, Dict, List, Optional, Sequence, Tuple, cast
from llama_index.core.async_utils import asyncio_module
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
from llama_index.core.evaluation.base i... | Get aevaluate_response tasks with semaphore. |
36,006 | import asyncio
from typing import Any, Dict, List, Optional, Sequence, Tuple, cast
from llama_index.core.async_utils import asyncio_module
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
from llama_index.core.evaluation.base i... | Get aevaluate tasks with semaphore. |
36,007 | import asyncio
from typing import Any, Dict, List, Optional, Sequence, Tuple, cast
from llama_index.core.async_utils import asyncio_module
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
from llama_index.core.evaluation.base i... | Get aquery tasks with semaphore. |
36,008 | 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.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.base_retriever import BaseRetriever
from ... | null |
36,009 | 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.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.base_retriever import BaseRetriever
from ... | null |
36,010 | import asyncio
from enum import Enum
from typing import Any, Callable, Optional, Sequence, Tuple, Union
from llama_index.core import ServiceContext
from llama_index.core.evaluation.base import (
BaseEvaluator,
EvaluationResult,
)
from llama_index.core.llms.llm import LLM
from llama_index.core.prompts import (
... | null |
36,011 | import asyncio
import os
import subprocess
import tempfile
from collections import defaultdict
from typing import Any, List, Optional, Tuple, TYPE_CHECKING
import numpy as np
import pandas as pd
from llama_index_client import ProjectCreate
from llama_index_client.client import PlatformApi
from llama_index_client.types.... | Get responses. Sync version of aget_responses. |
36,012 | import asyncio
import os
import subprocess
import tempfile
from collections import defaultdict
from typing import Any, List, Optional, Tuple, TYPE_CHECKING
import numpy as np
import pandas as pd
from llama_index_client import ProjectCreate
from llama_index_client.client import PlatformApi
from llama_index_client.types.... | 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. |
36,013 | import asyncio
import os
import subprocess
import tempfile
from collections import defaultdict
from typing import Any, List, Optional, Tuple, TYPE_CHECKING
import numpy as np
import pandas as pd
from llama_index_client import ProjectCreate
from llama_index_client.client import PlatformApi
from llama_index_client.types.... | Upload questions to platform dataset. |
36,014 | import asyncio
import os
import subprocess
import tempfile
from collections import defaultdict
from typing import Any, List, Optional, Tuple, TYPE_CHECKING
import numpy as np
import pandas as pd
from llama_index_client import ProjectCreate
from llama_index_client.client import PlatformApi
from llama_index_client.types.... | 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. |
36,015 | from collections import defaultdict
from typing import List, Optional, Tuple
import pandas as pd
from llama_index.core.evaluation import EvaluationResult
from llama_index.core.evaluation.retrieval.base import RetrievalEvalResult
DEFAULT_METRIC_KEYS = ["hit_rate", "mrr"]
class RetrievalEvalResult(BaseModel):
"""Ret... | Display retrieval results. |
36,016 | from collections import defaultdict
from typing import List, Optional, Tuple
import pandas as pd
from llama_index.core.evaluation import EvaluationResult
from llama_index.core.evaluation.retrieval.base import RetrievalEvalResult
The provided code snippet includes necessary dependencies for implementing the `get_eval_r... | 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 |
36,017 | import os
from typing import Any, Callable, Dict, List, Literal, Optional, Type
import numpy as np
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.evaluation.retrieval.metrics_base import (
BaseRetrievalMetric,
RetrievalMetricResult,
)
METRIC_REGISTRY: Dict[str, Type[BaseRe... | Resolve metrics from list of metric names. |
36,018 | import os
from typing import List, Optional
from llama_index_client import (
ConfigurableDataSourceNames,
ConfigurableTransformationNames,
ConfiguredTransformationItem,
DataSourceCreate,
PipelineCreate,
PipelineType,
ProjectCreate,
)
from llama_index_client.client import AsyncPlatformApi, Pl... | Default transformations. |
36,019 | import os
from typing import List, Optional
from llama_index_client import (
ConfigurableDataSourceNames,
ConfigurableTransformationNames,
ConfiguredTransformationItem,
DataSourceCreate,
PipelineCreate,
PipelineType,
ProjectCreate,
)
from llama_index_client.client import AsyncPlatformApi, Pl... | Get the sync platform API client. |
36,020 | import os
from typing import List, Optional
from llama_index_client import (
ConfigurableDataSourceNames,
ConfigurableTransformationNames,
ConfiguredTransformationItem,
DataSourceCreate,
PipelineCreate,
PipelineType,
ProjectCreate,
)
from llama_index_client.client import AsyncPlatformApi, Pl... | Get the async platform API client. |
36,021 | import os
from typing import List, Optional
from llama_index_client import (
ConfigurableDataSourceNames,
ConfigurableTransformationNames,
ConfiguredTransformationItem,
DataSourceCreate,
PipelineCreate,
PipelineType,
ProjectCreate,
)
from llama_index_client.client import AsyncPlatformApi, Pl... | Get a pipeline create object. |
36,022 | from enum import Enum
from typing import Generic, Type, TypeVar
from llama_index.core.bridge.pydantic import BaseModel, Field, GenericModel
from llama_index.core.vector_stores.types import BasePydanticVectorStore
class DataSink(BaseModel):
"""
A class containing metadata for a type of data sink.
"""
nam... | Build an enum of configurable data sinks. But conditional on if the corresponding vector store is available. |
36,023 | import uuid
from enum import Enum
from pathlib import Path
from typing import Any, Generic, Iterable, List, Optional, Type, TypeVar, cast
from llama_index.core.bridge.pydantic import BaseModel, Field, GenericModel
from llama_index.core.readers.base import BasePydanticReader, ReaderConfig
from llama_index.core.schema im... | Build an enum of configurable data sources. But conditional on if the corresponding reader is available. |
36,024 | from enum import Enum
from typing import Generic, Sequence, Type, TypeVar
from llama_index.core.bridge.pydantic import BaseModel, Field, GenericModel
from llama_index.core.node_parser import (
CodeSplitter,
HTMLNodeParser,
JSONNodeParser,
MarkdownNodeParser,
SentenceSplitter,
SimpleFileNodeParse... | Build an enum of configurable transformations. But conditional on if the corresponding component is available. |
36,025 | import asyncio
import multiprocessing
import os
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, Seq... | null |
36,026 | import asyncio
import multiprocessing
import os
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, Seq... | null |
36,027 | import asyncio
import multiprocessing
import os
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, Seq... | 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. |
36,028 | import asyncio
import multiprocessing
import os
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, Seq... | Wrapper for async run_transformation. To be used in loop.run_in_executor within a ProcessPoolExecutor. |
36,029 | import logging
from typing import Callable, Dict, Optional, Union
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.query.query_transform.... | Default check stop function. |
36,030 | import logging
from typing import Callable, Dict, Optional, Union
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.query.query_transform.... | Format SQL query. |
36,031 | from typing import Any, Dict, List, Optional, Sequence, Tuple
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.indices.multi_modal import Mul... | null |
36,032 | from typing import Any, Callable, Optional
from llama_index.core.query_engine.flare.schema import QueryTask
from llama_index.core.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_parse_... | Default parse is done function. |
36,033 | from typing import Any, Callable, Optional
from llama_index.core.query_engine.flare.schema import QueryTask
from llama_index.core.types import BaseOutputParser
The provided code snippet includes necessary dependencies for implementing the `default_format_done_answer` function. Write a Python function `def default_form... | Default format done answer. |
36,034 | import logging
from typing import Any, Dict, Optional
import numpy as np
import pandas as pd
from llama_index.core.exec_utils import safe_eval, safe_exec
from llama_index.core.output_parsers.base import ChainableOutputParser
from llama_index.core.output_parsers.utils import parse_code_markdown
logger = logging.getLogge... | Process outputs in a default manner. |
36,035 | import asyncio
import json
import logging
from typing import Any, Callable, Dict, List, Optional, Tuple
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import Response
from llama_index.core.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. |
36,036 | from typing import Any, Callable, Dict, List, Optional, Tuple, cast
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import RESPONSE_TYPE
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.indices.query.query_transf... | Stop function for multi-step query combiner. |
36,037 | import logging
from typing import Callable, List, Optional, Sequence, Any
from llama_index.core.async_utils import run_async_tasks
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.base.base_selector import BaseSelect... | Combine multiple response from sub-engines. |
36,038 | import logging
from typing import Callable, List, Optional, Sequence, Any
from llama_index.core.async_utils import run_async_tasks
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.base.base_selector import BaseSelect... | Async combine multiple response from sub-engines. |
36,039 | import logging
from typing import Callable, List, Optional, Sequence, Any
from llama_index.core.async_utils import run_async_tasks
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.base.base_selector import BaseSelect... | Default node to metadata function. We use the node's text as the Tool description. |
36,040 | import logging
from abc import ABC, abstractmethod
from collections import ChainMap
from typing import Any, Dict, List, Optional, Union
from llama_index.core.base.llms.types import (
ChatMessage,
LLMMetadata,
MessageRole,
)
from llama_index.core.bridge.pydantic import BaseModel, PrivateAttr
from llama_index... | Load predictor by class name. |
36,041 | from dataclasses import dataclass
from typing import TYPE_CHECKING, Any, Callable, List, Optional
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.callbacks.base import BaseCallbackHandler, CallbackManager
from llama_index.core.embeddings.utils import EmbedType, resolve_embed_model
... | Get settings from either settings or context. |
36,042 | from dataclasses import dataclass
from typing import TYPE_CHECKING, Any, Callable, List, Optional
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.callbacks.base import BaseCallbackHandler, CallbackManager
from llama_index.core.embeddings.utils import EmbedType, resolve_embed_model
... | Get settings from either settings or context. |
36,043 | from dataclasses import dataclass
from typing import TYPE_CHECKING, Any, Callable, List, Optional
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.callbacks.base import BaseCallbackHandler, CallbackManager
from llama_index.core.embeddings.utils import EmbedType, resolve_embed_model
... | Get settings from either settings or context. |
36,044 | from string import Formatter
from typing import List
from llama_index.core.base.llms.base import BaseLLM
The provided code snippet includes necessary dependencies for implementing the `get_template_vars` function. Write a Python function `def get_template_vars(template_str: str) -> List[str]` to solve the following pr... | Get template variables from a template string. |
36,045 | from string import Formatter
from typing import List
from llama_index.core.base.llms.base import BaseLLM
class BaseLLM(ChainableMixin, BaseComponent):
def _validate_callback_manager(cls, v: CallbackManager) -> CallbackManager:
def metadata(self) -> LLMMetadata:
def chat(self, messages: Sequence[ChatMess... | null |
36,046 | from typing import List
from llama_index.core.prompts.base import BasePromptTemplate
def get_empty_prompt_txt(prompt: BasePromptTemplate) -> str:
"""Get empty prompt text.
Substitute empty strings in parts of the prompt that have
not yet been filled out. Skip variables that have already
been partially f... | Get biggest prompt. Oftentimes we need to fetch the biggest prompt, in order to be the most conservative about chunking text. This is a helper utility for that. |
36,047 | from llama_index.core.prompts.mixin import PromptDictType
PromptDictType = Dict[str, BasePromptTemplate]
The provided code snippet includes necessary dependencies for implementing the `display_prompt_dict` function. Write a Python function `def display_prompt_dict(prompts_dict: PromptDictType) -> None` to solve the f... | Display prompt dict. Args: prompts_dict: prompt dict |
36,048 | from typing import Optional, Type, TypeVar
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.output_parsers.base import OutputParserException
from llama_index.core.output_parsers.utils import parse_json_markdown
The provided code snippet includes necessary dependencies for implementing the `... | Convert a python format string to handlebars-style template. In python format string, single braces {} are used for variable substitution, and double braces {{}} are used for escaping actual braces (e.g. for JSON dict) In handlebars template, double braces {{}} are used for variable substitution, and single braces are ... |
36,049 | from typing import Optional, Type, TypeVar
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.output_parsers.base import OutputParserException
from llama_index.core.output_parsers.utils import parse_json_markdown
def json_schema_to_guidance_output_template(
schema: dict,
key: Optional[... | Convert a pydantic model to guidance output template. |
36,050 | from typing import Optional, Type, TypeVar
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.output_parsers.base import OutputParserException
from llama_index.core.output_parsers.utils import parse_json_markdown
def wrap_json_markdown(text: str) -> str:
"""Wrap text in json markdown forma... | Convert a pydantic model to guidance output template wrapped in json markdown. |
36,051 | from typing import Optional, Type, TypeVar
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.output_parsers.base import OutputParserException
from llama_index.core.output_parsers.utils import parse_json_markdown
Model = TypeVar("Model", bound=BaseModel)
class OutputParserException(Exception)... | Parse output from guidance program. This is a temporary solution for parsing a pydantic object out of an executed guidance program. NOTE: right now we assume the output is the last markdown formatted json block NOTE: a better way is to extract via Program.variables, but guidance does not support extracting nested objec... |
36,052 | from typing import Any, Dict, List
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import RESPONSE_TYPE
from llama_index.core.bridge.langchain import BaseTool
from llama_index.core.bridge.pydantic import BaseModel, Field
from llama_index.core.schema import ... | Return a response with source node info. |
36,053 | from typing import Any, Optional
from llama_index.core.bridge.langchain import (
AgentExecutor,
AgentType,
BaseCallbackManager,
BaseLLM,
initialize_agent,
)
from llama_index.core.langchain_helpers.agents.toolkits import LlamaToolkit
def create_llama_agent(
toolkit: LlamaToolkit,
llm: BaseLLM... | Load a chat llama agent given a Llama Toolkit and LLM. Args: toolkit: LlamaToolkit to use. llm: Language model to use as the agent. callback_manager: CallbackManager to use. Global callback manager is used if not provided. Defaults to None. agent_kwargs: Additional key word arguments to pass to the underlying agent **k... |
36,054 | from typing import Any, Dict, List, Optional
from llama_index.core.bridge.langchain import (
AIMessage,
BaseChatMemory,
BaseMessage,
HumanMessage,
)
from llama_index.core.bridge.langchain import BaseMemory as Memory
from llama_index.core.bridge.pydantic import Field
from llama_index.core.indices.base im... | Get prompt input key. Copied over from langchain. |
36,055 | import logging
from abc import abstractmethod
from typing import Any, Dict, Generator, List, Optional, Sequence, Union
from llama_index.core.base.query_pipeline.query import (
ChainableMixin,
InputKeys,
OutputKeys,
QueryComponent,
validate_and_convert_stringable,
)
from llama_index.core.base.respons... | null |
36,056 | from typing import Callable, Optional
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.prompt_helper import PromptHelper
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.prompts.default_prompt_se... | Get a response synthesizer. |
36,057 | import base64
import logging
from typing import List, Sequence
import requests
from llama_index.core.schema import ImageDocument
class ImageDocument(Document, ImageNode):
"""Data document containing an image."""
def class_name(cls) -> str:
return "ImageDocument"
def load_image_urls(image_urls: List[s... | null |
36,058 | import base64
import logging
from typing import List, Sequence
import requests
from llama_index.core.schema import ImageDocument
logger = logging.getLogger(__name__)
def encode_image(image_path: str) -> str:
with open(image_path, "rb") as image_file:
return base64.b64encode(image_file.read()).decode("utf-8"... | null |
36,059 | import json
import uuid
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Tuple,
Union,
cast,
get_args,
)
import networkx
from llama_index.core.async_utils import run_jobs
from llama_index.core.bridge.pydantic import Field
from llama_index.core.callbacks import ... | Add input to module deps inputs. |
36,060 | import json
import uuid
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Tuple,
Union,
cast,
get_args,
)
import networkx
from llama_index.core.async_utils import run_jobs
from llama_index.core.bridge.pydantic import Field
from llama_index.core.callbacks import ... | Add input to module deps inputs. |
36,061 | import json
import uuid
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Tuple,
Union,
cast,
get_args,
)
import networkx
from llama_index.core.async_utils import run_jobs
from llama_index.core.bridge.pydantic import Field
from llama_index.core.callbacks import ... | Print debug input. |
36,062 | import json
import uuid
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Tuple,
Union,
cast,
get_args,
)
import networkx
from llama_index.core.async_utils import run_jobs
from llama_index.core.bridge.pydantic import Field
from llama_index.core.callbacks import ... | Print debug input. |
36,063 | import json
import uuid
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Tuple,
Union,
cast,
get_args,
)
import networkx
from llama_index.core.async_utils import run_jobs
from llama_index.core.bridge.pydantic import Field
from llama_index.core.callbacks import ... | null |
36,064 | from inspect import signature
from typing import Any, Callable, Dict, Optional, Set, Tuple
from llama_index.core.base.query_pipeline.query import (
InputKeys,
OutputKeys,
QueryComponent,
)
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.callbacks.base import CallbackMan... | Get parameters from function. Returns: Tuple[Set[str], Set[str]]: required and optional parameters |
36,065 | from inspect import signature
from typing import Any, Callable, Dict, Optional, Set, Tuple, cast
from llama_index.core.base.query_pipeline.query import (
InputKeys,
OutputKeys,
QueryComponent,
)
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.callbacks.base import Callb... | Get parameters from function. Returns: Tuple[Set[str], Set[str]]: required and optional parameters |
36,066 | from inspect import signature
from typing import Any, Callable, Dict, Optional, Set, Tuple, cast
from llama_index.core.base.query_pipeline.query import (
InputKeys,
OutputKeys,
QueryComponent,
)
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.callbacks.base import Callb... | Default agent input function. |
36,067 | import json
import re
from typing import Any, Dict, Generator, List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
import json
The provided code snippet includes necessary dependencies for implementing the `_depth_first_yield` function. Write a Python funct... | Do depth first yield of all of the leaf nodes of a JSON. Combines keys in the JSON tree using spaces. If levels_back is set to 0, prints all levels. If collapse_length is not None and the json_data is <= that number of characters, then we collapse it into one line. |
36,068 | import os
import logging
import mimetypes
import multiprocessing
import warnings
from datetime import datetime
from functools import reduce
from itertools import repeat
from pathlib import Path
import fsspec
from fsspec.implementations.local import LocalFileSystem
from typing import Any, Callable, Dict, Generator, List... | null |
36,069 | import os
import logging
import mimetypes
import multiprocessing
import warnings
from datetime import datetime
from functools import reduce
from itertools import repeat
from pathlib import Path
import fsspec
from fsspec.implementations.local import LocalFileSystem
from typing import Any, Callable, Dict, Generator, List... | Get some handy metadate from filesystem. Args: file_path: str: file path in str |
36,070 | import os
import logging
import mimetypes
import multiprocessing
import warnings
from datetime import datetime
from functools import reduce
from itertools import repeat
from pathlib import Path
import fsspec
from fsspec.implementations.local import LocalFileSystem
from typing import Any, Callable, Dict, Generator, List... | null |
36,071 | from typing import Any, Dict, Type
from llama_index.core.readers.base import BasePydanticReader
from llama_index.core.readers.string_iterable import StringIterableReader
ALL_READERS: Dict[str, Type[BasePydanticReader]] = {
StringIterableReader.class_name(): StringIterableReader,
}
class BasePydanticReader(BaseRead... | null |
36,072 | import json
import os
from typing import Optional, Type
from deprecated import deprecated
from llama_index.core.download.integration import download_integration
from llama_index.core.readers.base import BaseReader
import json
def download_integration(module_str: str, module_import_str: str, cls_name: str) -> Any:
... | Download a single loader from the Loader Hub. Args: loader_class: The name of the loader class you want to download, such as `SimpleWebPageReader`. refresh_cache: If true, the local cache will be skipped and the loader will be fetched directly from the remote repo. use_gpt_index_import: If true, the loader files will u... |
36,073 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
class Ch... | Convert messages to a history string. |
36,074 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def messa... | Convert a completion function to a chat function. |
36,075 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def messa... | Convert a completion function to a chat function. |
36,076 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def promp... | Convert a chat function to a completion function. |
36,077 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def promp... | Convert a chat function to a completion function. |
36,078 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def messa... | Convert a completion function to a chat function. |
36,079 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def promp... | Convert a chat function to a completion function. |
36,080 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def messa... | Convert a completion function to a chat function. |
36,081 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def promp... | Convert a chat function to a completion function. |
36,082 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
class Me... | Convert a stream completion response to a stream chat response. |
36,083 | from abc import abstractmethod
from typing import Any, List, Sequence, Union
from llama_index.core.base.query_pipeline.query import (
ChainableMixin,
QueryComponent,
)
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.prompts.mixin import PromptMixin, PromptMixinType
from llama_index.... | null |
36,084 | from abc import abstractmethod
from typing import Any, List, Sequence, Union
from llama_index.core.base.query_pipeline.query import (
ChainableMixin,
QueryComponent,
)
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.prompts.mixin import PromptMixin, PromptMixinType
from llama_index.... | null |
36,085 | 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.core.bridge.pydantic import Field, validator
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.callbacks.schema impor... | Mean aggregation for embeddings. |
36,086 | from abc import ABC, abstractmethod
from typing import (
Any,
Callable,
Dict,
Generator,
List,
Optional,
Set,
Union,
cast,
get_args,
)
from llama_index.core.base.llms.types import (
ChatResponse,
CompletionResponse,
)
from llama_index.core.base.response.schema import Resp... | null |
36,087 | from typing import Dict, Type
from llama_index.core.node_parser.file.html import HTMLNodeParser
from llama_index.core.node_parser.file.json import JSONNodeParser
from llama_index.core.node_parser.file.markdown import MarkdownNodeParser
from llama_index.core.node_parser.file.simple_file import SimpleFileNodeParser
from ... | null |
36,088 | import logging
import uuid
from typing import List, Optional, Protocol, runtime_checkable
from llama_index.core.schema import (
BaseNode,
Document,
ImageDocument,
ImageNode,
NodeRelationship,
TextNode,
)
from llama_index.core.utils import truncate_text
logger = logging.getLogger(__name__)
class ... | Build nodes from splits. |
36,089 | import logging
from typing import Callable, List
from llama_index.core.node_parser.interface import TextSplitter
def split_text_keep_separator(text: str, separator: str) -> List[str]:
"""Split text with separator and keep the separator at the end of each split."""
parts = text.split(separator)
result = [sep... | Split text by separator. |
36,090 | import logging
from typing import Callable, List
from llama_index.core.node_parser.interface import TextSplitter
The provided code snippet includes necessary dependencies for implementing the `split_by_char` function. Write a Python function `def split_by_char() -> Callable[[str], List[str]]` to solve the following pr... | Split text by character. |
36,091 | import logging
from typing import Callable, List
from llama_index.core.node_parser.interface import TextSplitter
def split_by_sentence_tokenizer() -> Callable[[str], List[str]]:
import nltk
tokenizer = nltk.tokenize.PunktSentenceTokenizer()
# get the spans and then return the sentences
# using the st... | null |
36,092 | import logging
from typing import Callable, List
from llama_index.core.node_parser.interface import TextSplitter
def split_by_regex(regex: str) -> Callable[[str], List[str]]:
"""Split text by regex."""
import re
return lambda text: re.findall(regex, text)
The provided code snippet includes necessary depend... | Split text by phrase regex. This regular expression will split the sentences into phrases, where each phrase is a sequence of one or more non-comma, non-period, and non-semicolon characters, followed by an optional comma, period, or semicolon. The regular expression will also capture the delimiters themselves as separa... |
36,093 | from typing import Any, Dict, List, Optional, Sequence
from llama_index.core.bridge.pydantic import Field
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.node_parser.interface import NodeParser
from llama_index.cor... | Add parent/child relationship between nodes. |
36,094 | from typing import Any, Dict, List, Optional, Sequence
from llama_index.core.bridge.pydantic import Field
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.node_parser.interface import NodeParser
from llama_index.cor... | Get leaf nodes. |
36,095 | from typing import Any, Dict, List, Optional, Sequence
from llama_index.core.bridge.pydantic import Field
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.node_parser.interface import NodeParser
from llama_index.cor... | Get children of root nodes in given nodes that have given depth. |
36,096 | from typing import Any, Callable, List, Optional, Dict
from llama_index.core.bridge.pydantic import Field
import pandas as pd
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.node_parser.relational.base_element import (
DEFAULT_SUMMARY_QUERY_STR,
BaseElementNodeParser,
Eleme... | Convert HTML to dataframe. |
36,097 | from io import StringIO
from typing import Any, Callable, List, Optional
import pandas as pd
from llama_index.core.node_parser.relational.base_element import (
BaseElementNodeParser,
Element,
)
from llama_index.core.schema import BaseNode, TextNode
The provided code snippet includes necessary dependencies for ... | Convert Markdown to dataframe. |
36,098 | from llama_index.core.agent.types import TaskStep
from llama_index.core.base.llms.types import ChatMessage, MessageRole
from llama_index.core.memory import BaseMemory
class TaskStep(BaseModel):
"""Agent task step.
Represents a single input step within the execution run ("Task") of an agent
given a user in... | Add user step to memory. |
36,099 | import re
from typing import Tuple
from llama_index.core.agent.react.types import (
ActionReasoningStep,
BaseReasoningStep,
ResponseReasoningStep,
)
from llama_index.core.output_parsers.utils import extract_json_str
from llama_index.core.types import BaseOutputParser
def extract_final_response(input_text: ... | null |
36,100 | import re
from typing import Tuple
from llama_index.core.agent.react.types import (
ActionReasoningStep,
BaseReasoningStep,
ResponseReasoningStep,
)
from llama_index.core.output_parsers.utils import extract_json_str
from llama_index.core.types import BaseOutputParser
def extract_tool_use(input_text: str) ->... | Parse an action reasoning step from the LLM output. |
36,101 | import asyncio
import uuid
from functools import partial
from itertools import chain
from threading import Thread
from typing import (
Any,
AsyncGenerator,
Dict,
Generator,
List,
Optional,
Sequence,
Tuple,
cast,
)
from llama_index.core.agent.react.formatter import ReActChatFormatter
... | Add user step to memory. |
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