id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
36,512 | from typing import Any, Dict, List, Optional
from llama_index.core import Document, ServiceContext, VectorStoreIndex
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.llms.llm import LLM
from llama_index.core.node_parser import SentenceSplitter
from llama_index.core.query_pipeline.compone... | Apply reciprocal rank fusion. The original paper uses k=60 for best results: https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf |
36,513 | from llama_index.cli.rag import RagCLI
from llama_index.core.ingestion import IngestionPipeline, IngestionCache
from llama_index.core.query_pipeline.query import QueryPipeline
from llama_index.core.storage.docstore import SimpleDocumentStore
from llama_index.core.text_splitter import SentenceSplitter
from llama_index.e... | Init local RAG CLI. |
36,514 | import asyncio
from abc import abstractmethod
from copy import deepcopy
from typing import Any, Awaitable, Callable, Dict, List, Optional
from llama_index.core.bridge.pydantic import BaseModel, Field, PrivateAttr
from llama_index.core.utils import get_tqdm_iterable
The provided code snippet includes necessary dependen... | Generate parameter combinations. |
36,515 | import time
from functools import partial
from typing import Callable, List, Optional, Tuple
import pandas as pd
from llama_index.core import SimpleDirectoryReader
from llama_index.core.base.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
)
from llama_index.embeddings import OpenAIEmbedding, r... | null |
36,516 | import time
from functools import partial
from typing import Callable, List, Optional, Tuple
import pandas as pd
from llama_index.core import SimpleDirectoryReader
from llama_index.core.base.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
)
from llama_index.embeddings import OpenAIEmbedding, r... | null |
36,517 | import time
from functools import partial
from typing import Callable, List, Optional, Tuple
import pandas as pd
from llama_index.core import SimpleDirectoryReader
from llama_index.core.base.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
)
from llama_index.embeddings import OpenAIEmbedding, r... | Benchmark embeddings. |
36,518 | import json
import os
from typing import Dict, Tuple
from llama_index import LLMPredictor, SQLDatabase
from llama_index.indices import SQLStructStoreIndex
from llama_index.llms.openai import OpenAI
from sqlalchemy import create_engine, text
The provided code snippet includes necessary dependencies for implementing the... | Load examples. |
36,519 | import json
import os
from typing import Dict, Tuple
from llama_index import LLMPredictor, SQLDatabase
from llama_index.indices import SQLStructStoreIndex
from llama_index.llms.openai import OpenAI
from sqlalchemy import create_engine, text
The provided code snippet includes necessary dependencies for implementing the... | Create indexes for all databases. |
36,520 | import argparse
import json
import logging
import os
import re
from typing import Any, cast
from llama_index import LLMPredictor, SQLDatabase
from llama_index.indices import SQLStructStoreIndex
from llama_index.llms.openai import OpenAI
from sqlalchemy import create_engine, text
from tqdm import tqdm
def _generate_sql(... | Generate SQL queries for the given examples and write them to the output file. |
36,521 | import argparse
import ast
import json
import logging
import os
from typing import Dict, List, Optional
from llama_index.core.base.llms.types import ChatMessage, MessageRole
from llama_index.core.base.response.schema import Response
from llama_index.indices.struct_store.sql import SQLQueryMode, SQLStructStoreIndex
from... | null |
36,522 | import argparse
import ast
import json
import logging
import os
from typing import Dict, List, Optional
from llama_index.core.base.llms.types import ChatMessage, MessageRole
from llama_index.core.base.response.schema import Response
from llama_index.indices.struct_store.sql import SQLQueryMode, SQLStructStoreIndex
from... | null |
36,523 | from typing import Callable, Dict
from llama_index.tools.function_tool import FunctionTool
from task import Task
The provided code snippet includes necessary dependencies for implementing the `search_number` function. Write a Python function `def search_number(first_name: str, last_name: str) -> str` to solve the foll... | Search for a person by first and last name. |
36,524 | from typing import Callable, Dict
from llama_index.tools.function_tool import FunctionTool
from task import Task
class Phone:
def __init__(self) -> None:
self.number = ""
self.entered = False
def dial_digit(self, number: str) -> None:
"""Dial a digit on the phone."""
assert len(... | null |
36,525 | from typing import Callable, Dict
from llama_index.tools.function_tool import FunctionTool
from task import Task
class Phone:
def __init__(self) -> None:
self.number = ""
self.entered = False
def dial_digit(self, number: str) -> None:
"""Dial a digit on the phone."""
assert len(... | null |
36,526 | from typing import List, cast
import pandas as pd
from agent_utils import AGENTS, ALL_MODELS, get_model, is_valid_combination
from button_tasks import TASKS as BUTTON_TASKS
from fire import Fire
from llama_index.agent.types import BaseAgent
from math_tasks import TASKS as MATH_TASKS
ALL_TASKS = list(MATH_TASKS.keys()) ... | null |
36,527 |
The provided code snippet includes necessary dependencies for implementing the `contains_expected_response` function. Write a Python function `def contains_expected_response(response: str, expected_response: str) -> bool` to solve the following problem:
Check if the response contains the expected response.
Here is t... | Check if the response contains the expected response. |
36,528 | from typing import Callable, Dict
from eval import contains_expected_response
from llama_index.tools.function_tool import FunctionTool
from task import Task
The provided code snippet includes necessary dependencies for implementing the `add` function. Write a Python function `def add(a: int, b: int) -> int` to solve t... | Add two integers and returns the result integer. |
36,529 | from typing import Callable, Dict
from eval import contains_expected_response
from llama_index.tools.function_tool import FunctionTool
from task import Task
The provided code snippet includes necessary dependencies for implementing the `multiply` function. Write a Python function `def multiply(a: int, b: int) -> int` ... | Multiple two integers and returns the result integer. |
36,530 | import random
import time
from typing import List
from llama_index.schema import TextNode
from llama_index.vector_stores.simple import SimpleVectorStore
from llama_index.vector_stores.types import (
VectorStoreQuery,
VectorStoreQueryMode,
)
def generate_nodes(
num_vectors: int = 100, embedding_length: int =... | Benchmark simple vector store. |
36,531 | import re
from dataclasses import dataclass
from typing import List, Optional
from llama_index.core import VectorStoreIndex, get_tokenizer
from llama_index.core.llms import ChatMessage
from llama_index.core.llms.llm import LLM
from llama_index.core.node_parser import TokenTextSplitter
from llama_index.core.schema impor... | null |
36,532 | import re
from dataclasses import dataclass
from typing import List, Optional
from llama_index.core import VectorStoreIndex, get_tokenizer
from llama_index.core.llms import ChatMessage
from llama_index.core.llms.llm import LLM
from llama_index.core.node_parser import TokenTextSplitter
from llama_index.core.schema impor... | null |
36,533 | import random
from typing import Any, List, Optional, Tuple
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.indices.query.embedding_utils import get_top_k_embeddings
from llama_index.finetuning import EmbeddingQAFinetuneDataset
class CohereRerankerFinetuneDataset(BaseModel):
def to_jso... | null |
36,534 | from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Type
import torch
import transformers
from llama_index.core.utils import print_text
from llama_index.embeddings.adapter import BaseAdapter
from sentence_transformers.util import cos_sim
from torch import Tensor, nn
from torch.optim import ... | Train model. |
36,536 | from typing import Any, Dict, Optional, Sequence
from llama_index.legacy.objects.base_node_mapping import (
DEFAULT_PERSIST_DIR,
DEFAULT_PERSIST_FNAME,
BaseObjectNodeMapping,
)
from llama_index.legacy.schema import BaseNode, TextNode
from llama_index.legacy.tools.query_engine import QueryEngineTool
from lla... | Function convert Tool to node. |
36,537 | import asyncio
from abc import abstractmethod
from copy import deepcopy
from typing import Any, Awaitable, Callable, Dict, List, Optional
from llama_index.legacy.bridge.pydantic import BaseModel, Field, PrivateAttr
from llama_index.legacy.utils import get_tqdm_iterable
The provided code snippet includes necessary depe... | Generate parameter combinations. |
36,538 | from deprecated import deprecated
from llama_index.legacy.output_parsers.base import ChainableOutputParser
from copy import deepcopy
from typing import TYPE_CHECKING, Any, Callable, Optional
The provided code snippet includes necessary dependencies for implementing the `get_callable` function. Write a Python function ... | Get callable. |
36,539 | import json
from dataclasses import dataclass
from typing import Any, List
from dataclasses_json import DataClassJsonMixin
from llama_index.legacy.output_parsers.base import (
OutputParserException,
StructuredOutput,
)
from llama_index.legacy.output_parsers.utils import _marshal_llm_to_json
from llama_index.leg... | null |
36,543 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence, Type
from openai.resources import Completions
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.bridge.pydantic import BaseModel
fro... | Use tenacity to retry the completion call. |
36,544 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence, Type
from openai.resources import Completions
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.bridge.pydantic import BaseModel
fro... | Use tenacity to retry the async completion call. |
36,545 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence, Type
from openai.resources import Completions
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.bridge.pydantic import BaseModel
fro... | Calculate the maximum number of tokens possible to generate for a model. Args: modelname: The modelname we want to know the context size for. Returns: The maximum context size Example: .. code-block:: python max_tokens = openai.modelname_to_contextsize("text-davinci-003") Modified from: https://github.com/hwchase17/lan... |
36,546 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence, Type
from openai.resources import Completions
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.bridge.pydantic import BaseModel
fro... | null |
36,547 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence, Type
from openai.resources import Completions
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.bridge.pydantic import BaseModel
fro... | null |
36,548 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence, Type
from openai.resources import Completions
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.bridge.pydantic import BaseModel
fro... | Convert generic messages to OpenAI message dicts. |
36,549 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence, Type
from openai.resources import Completions
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.bridge.pydantic import BaseModel
fro... | Convert litellm.utils.Message instance to generic message. |
36,550 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence, Type
from openai.resources import Completions
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.bridge.pydantic import BaseModel
fro... | Convert openai message dicts to generic messages. |
36,551 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence, Type
from openai.resources import Completions
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.bridge.pydantic import BaseModel
fro... | Convert pydantic class to OpenAI function. |
36,552 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence, Type
from openai.resources import Completions
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.bridge.pydantic import BaseModel
fro... | null |
36,553 | import logging
from typing import Any, Callable, Optional
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage, MessageRole
def _create_retry_decorator(max_retries: int) -> Callable... | Use tenacity to retry the completion call. |
36,554 | import logging
from typing import Any, Callable, Optional
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage, MessageRole
def _create_retry_decorator(max_retries: int) -> Callable... | Use tenacity to retry the completion call. |
36,555 | import logging
from typing import Any, Callable, Optional
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage, MessageRole
The provided code snippet includes necessary dependencie... | Init vertexai. Args: project: The default GCP project to use when making Vertex API calls. location: The default location to use when making API calls. credentials: The default custom credentials to use when making API calls. If not provided credentials will be ascertained from the environment. Raises: ImportError: If ... |
36,556 | import logging
from typing import Any, Callable, Optional
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage, MessageRole
class ChatMessage(BaseModel):
"""Chat message."""
... | null |
36,557 | import logging
from typing import Any, Callable, Optional
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage, MessageRole
class MessageRole(str, Enum):
"""Message role."""
... | Parse a sequence of messages into history. Args: history: The list of messages to re-create the history of the chat. Returns: A parsed chat history. Raises: ValueError: If a sequence of message has a SystemMessage not at the first place. |
36,558 | import logging
from typing import Any, Callable, Optional
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage, MessageRole
class MessageRole(str, Enum):
"""Message role."""
... | null |
36,561 | from typing import TYPE_CHECKING, Optional, Union
from llama_index.legacy.llms.llama_cpp import LlamaCPP
from llama_index.legacy.llms.llama_utils import completion_to_prompt, messages_to_prompt
from llama_index.legacy.llms.llm import LLM
from llama_index.legacy.llms.mock import MockLLM
from llama_index.legacy.llms.open... | Resolve LLM from string or LLM instance. |
36,562 | import logging
from abc import ABC, abstractmethod
from typing import Any, Callable, Optional, Sequence
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage
from llama_index.legacy.... | null |
36,563 | import logging
from abc import ABC, abstractmethod
from typing import Any, Callable, Optional, Sequence
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage
from llama_index.legacy.... | null |
36,564 | import logging
from abc import ABC, abstractmethod
from typing import Any, Callable, Optional, Sequence
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage
from llama_index.legacy.... | Use tenacity to retry the completion call. |
36,565 | from collections import ChainMap
from typing import (
Any,
Dict,
List,
Optional,
Protocol,
Sequence,
get_args,
runtime_checkable,
)
from llama_index.legacy.bridge.pydantic import BaseModel, Field, validator
from llama_index.legacy.callbacks import CBEventType, EventPayload
from llama_ind... | Convert a stream completion response to a stream of tokens. |
36,566 | from collections import ChainMap
from typing import (
Any,
Dict,
List,
Optional,
Protocol,
Sequence,
get_args,
runtime_checkable,
)
from llama_index.legacy.bridge.pydantic import BaseModel, Field, validator
from llama_index.legacy.callbacks import CBEventType, EventPayload
from llama_ind... | Convert a stream completion response to a stream of tokens. |
36,567 | from collections import ChainMap
from typing import (
Any,
Dict,
List,
Optional,
Protocol,
Sequence,
get_args,
runtime_checkable,
)
from llama_index.legacy.bridge.pydantic import BaseModel, Field, validator
from llama_index.legacy.callbacks import CBEventType, EventPayload
from llama_ind... | Convert a stream completion response to a stream of tokens. |
36,568 | from collections import ChainMap
from typing import (
Any,
Dict,
List,
Optional,
Protocol,
Sequence,
get_args,
runtime_checkable,
)
from llama_index.legacy.bridge.pydantic import BaseModel, Field, validator
from llama_index.legacy.callbacks import CBEventType, EventPayload
from llama_ind... | Convert a stream completion response to a stream of tokens. |
36,569 | from collections import ChainMap
from typing import (
Any,
Dict,
List,
Optional,
Protocol,
Sequence,
get_args,
runtime_checkable,
)
from llama_index.legacy.bridge.pydantic import BaseModel, Field, validator
from llama_index.legacy.callbacks import CBEventType, EventPayload
from llama_ind... | null |
36,570 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage
def _create_retry_decorator(max_retries: int) ->... | Use tenacity to retry the completion call. |
36,571 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage
def _create_retry_decorator(max_retries: int) ->... | Use tenacity to retry the async completion call. |
36,572 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage
ALL_AVAILABLE_MODELS = {**COMMAND_MODELS, **GENE... | null |
36,573 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage
COMMAND_MODELS = {
"command": 4096,
"com... | null |
36,574 | import logging
from typing import Any, Callable, Dict, List, Optional, Sequence
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage
class ChatMessage(BaseModel):
def __str__(... | null |
36,578 | from typing import Optional
from typing_extensions import NotRequired, TypedDict
from llama_index.legacy.core.llms.types import ChatMessage
class ChatCompletionMessage(TypedDict):
role: str
content: Optional[str]
user: NotRequired[str]
class ChatMessage(BaseModel):
"""Chat message."""
role: Messag... | null |
36,579 | from typing import Optional
from typing_extensions import NotRequired, TypedDict
from llama_index.legacy.core.llms.types import ChatMessage
XINFERENCE_MODEL_SIZES = {
"baichuan": 2048,
"baichuan-chat": 2048,
"wizardlm-v1.0": 2048,
"vicuna-v1.3": 2048,
"orca": 2048,
"chatglm": 2048,
"chatglm2... | null |
36,581 | from typing import Dict, Type
from llama_index.legacy.llms.bedrock import Bedrock
from llama_index.legacy.llms.custom import CustomLLM
from llama_index.legacy.llms.gradient import (
GradientBaseModelLLM,
GradientModelAdapterLLM,
)
from llama_index.legacy.llms.huggingface import HuggingFaceLLM
from llama_index.l... | Load LLM by name. |
36,582 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
class ... | Convert messages to a history string. |
36,583 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def mes... | Convert a completion function to a chat function. |
36,584 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def mes... | Convert a completion function to a chat function. |
36,585 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def pro... | Convert a chat function to a completion function. |
36,586 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def pro... | Convert a chat function to a completion function. |
36,587 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def mes... | Convert a completion function to a chat function. |
36,588 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def pro... | Convert a chat function to a completion function. |
36,589 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def mes... | Convert a completion function to a chat function. |
36,590 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
def pro... | Convert a chat function to a completion function. |
36,591 | import os
from typing import Any, Awaitable, Callable, List, Optional, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
class ... | Convert a stream completion response to a stream chat response. |
36,592 | import logging
import os
import time
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type, Union
import openai
from deprecated import deprecated
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionMessageToolCall
from openai.types.chat.chat_completion_chunk import ChoiceDelt... | null |
36,593 | import logging
import os
import time
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type, Union
import openai
from deprecated import deprecated
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionMessageToolCall
from openai.types.chat.chat_completion_chunk import ChoiceDelt... | null |
36,594 | import logging
import os
import time
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type, Union
import openai
from deprecated import deprecated
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionMessageToolCall
from openai.types.chat.chat_completion_chunk import ChoiceDelt... | Convert generic messages to OpenAI message dicts. |
36,595 | import logging
import os
import time
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type, Union
import openai
from deprecated import deprecated
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionMessageToolCall
from openai.types.chat.chat_completion_chunk import ChoiceDelt... | Convert openai message dicts to generic messages. |
36,596 | import logging
import os
import time
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type, Union
import openai
from deprecated import deprecated
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionMessageToolCall
from openai.types.chat.chat_completion_chunk import ChoiceDelt... | Convert openai message dicts to generic messages. |
36,597 | import logging
import os
import time
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type, Union
import openai
from deprecated import deprecated
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionMessageToolCall
from openai.types.chat.chat_completion_chunk import ChoiceDelt... | Deprecated in favor of `to_openai_tool`. Convert pydantic class to OpenAI function. |
36,598 | import logging
import os
import time
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type, Union
import openai
from deprecated import deprecated
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionMessageToolCall
from openai.types.chat.chat_completion_chunk import ChoiceDelt... | "Resolve OpenAI credentials. The order of precedence is: 1. param 2. env 3. openai module 4. default |
36,599 | import logging
import os
import time
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type, Union
import openai
from deprecated import deprecated
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionMessageToolCall
from openai.types.chat.chat_completion_chunk import ChoiceDelt... | Checks the validity of the associated token, if any, and tries to refresh it using the credentials available in the current context. Different authentication methods are tried, in order, until a successful one is found as defined at the package `azure-indentity`. |
36,600 | import logging
import os
import time
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type, Union
import openai
from deprecated import deprecated
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionMessageToolCall
from openai.types.chat.chat_completion_chunk import ChoiceDelt... | null |
36,601 | import base64
from typing import Any, Dict, Union
from llama_index.legacy.llms import ChatMessage, MessageRole
def is_gemini_model(model: str) -> bool:
return model.startswith("gemini") | null |
36,602 | import base64
from typing import Any, Dict, Union
from llama_index.legacy.llms import ChatMessage, MessageRole
def create_gemini_client(model: str) -> Any:
from vertexai.preview.generative_models import GenerativeModel
return GenerativeModel(model_name=model) | null |
36,603 | import logging
from importlib.metadata import version
from types import ModuleType
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type
import openai
from packaging.version import parse
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
... | Use tenacity to retry the completion call. |
36,604 | import logging
from importlib.metadata import version
from types import ModuleType
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type
import openai
from packaging.version import parse
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
... | Convert generic messages to OpenAI message dicts. |
36,605 | import logging
from importlib.metadata import version
from types import ModuleType
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type
import openai
from packaging.version import parse
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
... | Convert openai message dicts to generic messages. |
36,606 | import logging
from importlib.metadata import version
from types import ModuleType
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type
import openai
from packaging.version import parse
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
... | Convert pydantic class to OpenAI function. |
36,607 | import logging
from importlib.metadata import version
from types import ModuleType
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type
import openai
from packaging.version import parse
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
... | "Resolve KonkoAI credentials. The order of precedence is: 1. param 2. env 3. konkoai module 4. default |
36,608 | import logging
from importlib.metadata import version
from types import ModuleType
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type
import openai
from packaging.version import parse
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
... | Use tenacity to retry the async completion call. |
36,609 | from typing import Dict
MISTRALAI_MODELS: Dict[str, int] = {
"mistral-tiny": 32000,
"mistral-small": 32000,
"mistral-medium": 32000,
}
def mistralai_modelname_to_contextsize(modelname: str) -> int:
if modelname not in MISTRALAI_MODELS:
raise ValueError(
f"Unknown model: {modelname}.... | null |
36,610 | import json
from typing import Any, Dict, Sequence, Tuple
import httpx
from httpx import Timeout
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.constants import DEFAULT_CONTEXT_WINDOW, DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
... | null |
36,611 | from typing import TYPE_CHECKING, List
from llama_index.legacy.core.llms.types import LLMMetadata
from llama_index.legacy.llms.anthropic import Anthropic
from llama_index.legacy.llms.anthropic_utils import CLAUDE_MODELS
from llama_index.legacy.llms.openai import OpenAI
from llama_index.legacy.llms.openai_utils import (... | Generate metadata for a Language Model (LLM) instance. This function takes an instance of a Language Model (LLM) and generates metadata based on the provided instance. The metadata includes information such as the context window, number of output tokens, chat model status, and model name. Parameters: llm (LLM): An inst... |
36,612 | from typing import TYPE_CHECKING, List
from llama_index.legacy.core.llms.types import LLMMetadata
from llama_index.legacy.llms.anthropic import Anthropic
from llama_index.legacy.llms.anthropic_utils import CLAUDE_MODELS
from llama_index.legacy.llms.openai import OpenAI
from llama_index.legacy.llms.openai_utils import (... | null |
36,613 | import typing
from typing import Sequence, Union
from llama_index.legacy.core.llms.types import MessageRole
from llama_index.legacy.llms.base import (
ChatMessage,
ChatResponse,
CompletionResponse,
)
def _error_if_finished_early(candidate: "glm.Candidate") -> None: # type: ignore[name-defined] # only until... | null |
36,614 | import typing
from typing import Sequence, Union
from llama_index.legacy.core.llms.types import MessageRole
from llama_index.legacy.llms.base import (
ChatMessage,
ChatResponse,
CompletionResponse,
)
ROLES_FROM_GEMINI = {v: k for k, v in ROLES_TO_GEMINI.items()}
def _error_if_finished_early(candidate: "glm.... | null |
36,615 | import typing
from typing import Sequence, Union
from llama_index.legacy.core.llms.types import MessageRole
from llama_index.legacy.llms.base import (
ChatMessage,
ChatResponse,
CompletionResponse,
)
ROLES_TO_GEMINI = {
MessageRole.USER: "user",
MessageRole.ASSISTANT: "model",
## Gemini only has... | Convert ChatMessages to Gemini-specific history, including ImageDocuments. |
36,616 | import typing
from typing import Sequence, Union
from llama_index.legacy.core.llms.types import MessageRole
from llama_index.legacy.llms.base import (
ChatMessage,
ChatResponse,
CompletionResponse,
)
ROLES_TO_GEMINI = {
MessageRole.USER: "user",
MessageRole.ASSISTANT: "model",
## Gemini only has... | null |
36,617 | from http import HTTPStatus
from typing import Any, Dict, List, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
CompletionResponse,
)
class CompletionResponse(BaseModel):
"""
Completion response.
Fields:
text: Text content of the response if not str... | null |
36,618 | from http import HTTPStatus
from typing import Any, Dict, List, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
CompletionResponse,
)
class ChatMessage(BaseModel):
"""Chat message."""
role: MessageRole = MessageRole.USER
content: Optional[Any] = ""
addi... | null |
36,619 | from http import HTTPStatus
from typing import Any, Dict, List, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
CompletionResponse,
)
class ChatMessage(BaseModel):
def __str__(self) -> str:
def chat_message_to_dashscope_messages(
chat_messages: Sequence[ChatMe... | null |
36,620 | from typing import Dict, Sequence
from llama_index.legacy.core.llms.types import ChatMessage, MessageRole
CLAUDE_MODELS: Dict[str, int] = {
"claude-instant-1": 100000,
"claude-instant-1.2": 100000,
"claude-2": 100000,
"claude-2.0": 100000,
"claude-2.1": 200000,
}
def anthropic_modelname_to_contexts... | null |
36,621 | 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
def _message_to_anyscale_prompt(message: ChatMessage) -> Dict[str, Any]:
class ChatMessage(BaseModel):
def _... | null |
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