text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
/// Inspired by https://github.com/hatoo/oha/blob/bb989ea3cd77727e7743e7daa60a19894bb5e901/src/monitor.rs
use crate::generation::{Decode, Message, Prefill};
use crossterm::event::{KeyCode, KeyEvent, KeyModifiers};
use text_generation_client::ClientError;
use tokio::sync::mpsc;
use tui::backend::Backend;
use tui::layout... | text-generation-inference/benchmark/src/app.rs/0 | {
"file_path": "text-generation-inference/benchmark/src/app.rs",
"repo_id": "text-generation-inference",
"token_count": 12215
} | 357 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ja/installation.md/0 | {
"file_path": "diffusers/docs/source/ja/installation.md",
"repo_id": "diffusers",
"token_count": 2493
} | 198 |
"""Common utility functions for LLM APIs."""
import re
from typing import List
def enforce_stop_tokens(text: str, stop: List[str]) -> str:
"""Cut off the text as soon as any stop words occur."""
return re.split("|".join(stop), text, maxsplit=1)[0]
| langchain/libs/community/langchain_community/llms/utils.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/utils.py",
"repo_id": "langchain",
"token_count": 85
} | 293 |
# coding=utf-8
# Copyright 2023 The Facebook Inc. and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | transformers/src/transformers/models/speecht5/tokenization_speecht5.py/0 | {
"file_path": "transformers/src/transformers/models/speecht5/tokenization_speecht5.py",
"repo_id": "transformers",
"token_count": 4079
} | 733 |
from unittest.mock import patch
from llama_index.legacy.llms import CompletionResponse
from llama_index.legacy.selectors.llm_selectors import (
LLMMultiSelector,
LLMSingleSelector,
)
from llama_index.legacy.service_context import ServiceContext
from tests.mock_utils.mock_predict import _mock_single_select
d... | llama_index/llama-index-legacy/tests/selectors/test_llm_selectors.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/selectors/test_llm_selectors.py",
"repo_id": "llama_index",
"token_count": 683
} | 1,817 |
import { unstable_dev } from "wrangler";
import type { UnstableDevWorker } from "wrangler";
import { describe, expect, it, beforeAll, afterAll } from "vitest";
describe("Worker", () => {
let worker: UnstableDevWorker;
beforeAll(async () => {
worker = await unstable_dev("src/index.ts", {
experimental: { ... | langchainjs/environment_tests/test-exports-cf/src/index.unit.test.ts/0 | {
"file_path": "langchainjs/environment_tests/test-exports-cf/src/index.unit.test.ts",
"repo_id": "langchainjs",
"token_count": 176
} | 761 |
<?xml version="1.0" encoding="utf-8"?>
<dg:chunk cp:version="2.10.10.0.1699162341377-69.0"
xmlns:docset="http://www.docugami.com/2021/dgml/TaqiTest20231103/NDA"
xmlns:addedChunks="http://www.docugami.com/2021/dgml/TaqiTest20231103/NDA/addedChunks"
xmlns:dg="http://www.docugami.com/2021/dgml"
xmlns:dgc="... | langchain/libs/community/tests/unit_tests/document_loaders/loaders/vendors/test_data/docugami-example.xml/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/loaders/vendors/test_data/docugami-example.xml",
"repo_id": "langchain",
"token_count": 16507
} | 387 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-multi-document-agents/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-multi-document-agents/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,798 |
package syncmgr
import (
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus/pkg/util/conc"
"github.com/milvus-io/milvus/pkg/util/lock"
)
type Task interface {
SegmentID() int64
CalcTargetSegment() (int64, error)
Checkpoint() *msgpb.MsgPosition
StartPosition() *msgpb.MsgPosition
C... | milvus/internal/datanode/syncmgr/key_lock_dispatcher.go/0 | {
"file_path": "milvus/internal/datanode/syncmgr/key_lock_dispatcher.go",
"repo_id": "milvus",
"token_count": 418
} | 1,707 |
<jupyter_start><jupyter_text>OpenAI Fine-Tuning[](https://colab.research.google.com/github/langchain-ai/langsmith-cookbook/blob/main/fine-tuning-examples/export-to-openai/fine-tuning-on-chat-runs.ipynb)Once you've captured run traces from your deployment (production or beta), it's likely you'll want to use that data to... | langsmith-cookbook/fine-tuning-examples/export-to-openai/fine-tuning-on-chat-runs.ipynb/0 | {
"file_path": "langsmith-cookbook/fine-tuning-examples/export-to-openai/fine-tuning-on-chat-runs.ipynb",
"repo_id": "langsmith-cookbook",
"token_count": 4016
} | 1,097 |
#!/usr/bin/env bash
# Licensed to the LF AI & Data foundation under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you... | milvus/scripts/devcontainer.sh/0 | {
"file_path": "milvus/scripts/devcontainer.sh",
"repo_id": "milvus",
"token_count": 1485
} | 2,127 |
import { GoogleVertexAI } from "@langchain/community/llms/googlevertexai";
const model = new GoogleVertexAI({
temperature: 0.7,
});
const stream = await model.stream(
"What would be a good company name for a company that makes colorful socks?"
);
for await (const chunk of stream) {
console.log("\n---------\nChu... | langchainjs/examples/src/llms/googlevertexai-streaming.ts/0 | {
"file_path": "langchainjs/examples/src/llms/googlevertexai-streaming.ts",
"repo_id": "langchainjs",
"token_count": 252
} | 794 |
"""Test AzureCosmosDBVectorSearch functionality."""
import logging
import os
from time import sleep
from typing import Any, Generator, Optional, Union
import pytest
from langchain_core.documents import Document
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores.azure_cos... | langchain/libs/community/tests/integration_tests/vectorstores/test_azure_cosmos_db.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_azure_cosmos_db.py",
"repo_id": "langchain",
"token_count": 6746
} | 390 |
from langchain_community.tools.edenai.image_explicitcontent import (
EdenAiExplicitImageTool,
)
__all__ = ["EdenAiExplicitImageTool"]
| langchain/libs/langchain/langchain/tools/edenai/image_explicitcontent.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/edenai/image_explicitcontent.py",
"repo_id": "langchain",
"token_count": 49
} | 585 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-nougat-ocr/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-nougat-ocr/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,416 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/meta/leader_view_manager_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/meta/leader_view_manager_test.go",
"repo_id": "milvus",
"token_count": 2113
} | 1,761 |
<jupyter_start><jupyter_text>Amazon Textract >[Amazon Textract](https://docs.aws.amazon.com/managedservices/latest/userguide/textract.html) is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents.>>It goes beyond simple optical character recognition (OCR) to ide... | langchain/docs/docs/integrations/document_loaders/amazon_textract.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/amazon_textract.ipynb",
"repo_id": "langchain",
"token_count": 1284
} | 104 |
{
"extends": "@tsconfig/recommended",
"compilerOptions": {
"target": "ES2021",
"lib": [
"ES2021",
"ES2022.Object",
"DOM"
],
"module": "ES2020",
"moduleResolution": "nodenext",
"esModuleInterop": true,
"declaration": true,
"noImplicitReturns": true,
"noFallthroug... | langchainjs/tsconfig.json/0 | {
"file_path": "langchainjs/tsconfig.json",
"repo_id": "langchainjs",
"token_count": 353
} | 1,050 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-palm/llama_index/llms/palm/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-palm/llama_index/llms/palm/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,275 |
# LlamaIndex Callbacks Integration: Weights and Biases
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-wandb/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-wandb/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,216 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/accesslog/writer.go/0 | {
"file_path": "milvus/internal/proxy/accesslog/writer.go",
"repo_id": "milvus",
"token_count": 3314
} | 1,876 |
from typing import Any
from unittest import mock
from langchain_community.vectorstores.nucliadb import NucliaDB
class attrdict(dict):
def __getitem__(self, key: str) -> Any:
value = dict.__getitem__(self, key)
return attrdict(value) if isinstance(value, dict) else value
__getattr__ = __getit... | langchain/libs/community/tests/integration_tests/vectorstores/test_nucliadb.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_nucliadb.py",
"repo_id": "langchain",
"token_count": 1904
} | 359 |
# Microsoft OneDrive Loader
This loader reads files from:
- Microsoft OneDrive Personal [(https://onedrive.live.com/)](https://onedrive.live.com/) and
- Microsoft OneDrive for Business [(https://portal.office.com/onedrive)](https://portal.office.com/onedrive).
It supports recursively traversing and downloading files... | llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/README.md",
"repo_id": "llama_index",
"token_count": 1963
} | 1,350 |
---
sidebar_position: 3
---
# Cookbook
import DocCardList from "@theme/DocCardList";
Example code for accomplishing common tasks with the LangChain Expression Language (LCEL). These examples show how to compose different Runnable (the core LCEL interface) components to achieve various tasks. If you're just getting a... | langchain/docs/docs/expression_language/cookbook/index.mdx/0 | {
"file_path": "langchain/docs/docs/expression_language/cookbook/index.mdx",
"repo_id": "langchain",
"token_count": 122
} | 83 |
from __future__ import annotations
import operator
import pickle
import uuid
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple
import numpy as np
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstor... | langchain/libs/community/langchain_community/vectorstores/scann.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/scann.py",
"repo_id": "langchain",
"token_count": 9169
} | 335 |
// This implementation mirrors the rendezvous hash implementation
// in the go and python services.
// The go implementation is located go/internal/utils/rendezvous_hash.go
// The python implementation is located chromadb/utils/rendezvous_hash.py
use crate::errors::{ChromaError, ErrorCodes};
use std::io::Cursor;
use t... | chroma/rust/worker/src/assignment/rendezvous_hash.rs/0 | {
"file_path": "chroma/rust/worker/src/assignment/rendezvous_hash.rs",
"repo_id": "chroma",
"token_count": 2231
} | 59 |
from langchain_core.tracers.run_collector import RunCollectorCallbackHandler
__all__ = ["RunCollectorCallbackHandler"]
| langchain/libs/langchain/langchain/schema/callbacks/tracers/run_collector.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/callbacks/tracers/run_collector.py",
"repo_id": "langchain",
"token_count": 33
} | 565 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/markdown/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/markdown/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,438 |
from typing import Any
from llama_index.legacy.callbacks.base_handler import BaseCallbackHandler
def arize_phoenix_callback_handler(**kwargs: Any) -> BaseCallbackHandler:
try:
from phoenix.trace.llama_index import OpenInferenceTraceCallbackHandler
except ImportError:
raise ImportError(
... | llama_index/llama-index-legacy/llama_index/legacy/callbacks/arize_phoenix_callback.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/callbacks/arize_phoenix_callback.py",
"repo_id": "llama_index",
"token_count": 162
} | 1,553 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/musicgen/test_processing_musicgen.py/0 | {
"file_path": "transformers/tests/models/musicgen/test_processing_musicgen.py",
"repo_id": "transformers",
"token_count": 2496
} | 724 |
<jupyter_start><jupyter_text>ClearML> [ClearML](https://github.com/allegroai/clearml) is a ML/DL development and production suite, it contains 5 main modules:> - `Experiment Manager` - Automagical experiment tracking, environments and results> - `MLOps` - Orchestration, Automation & Pipelines solution for ML/DL jobs (K... | langchain/docs/docs/integrations/providers/clearml_tracking.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/providers/clearml_tracking.ipynb",
"repo_id": "langchain",
"token_count": 2148
} | 140 |
<jupyter_start><jupyter_text>Serverless Inference with Hugging Face's Transformers & Amazon SageMaker Welcome to this getting started guide. We will use the Hugging Face Inference DLCs and Amazon SageMaker Python SDK to create a [Serverless Inference](https://docs.aws.amazon.com/sagemaker/latest/dg/serverless-endpoints... | notebooks/sagemaker/19_serverless_inference/sagemaker-notebook.ipynb/0 | {
"file_path": "notebooks/sagemaker/19_serverless_inference/sagemaker-notebook.ipynb",
"repo_id": "notebooks",
"token_count": 1569
} | 317 |
import json
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Union
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class JSONLoader(BaseLoader):
"""Load a `JSON` file using a `jq` schema.
Example:
[{"text... | langchain/libs/community/langchain_community/document_loaders/json_loader.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/json_loader.py",
"repo_id": "langchain",
"token_count": 2615
} | 252 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "embeddings/googlepalm",
});
export * from "@langchain/community/embeddings/googlepalm";
| langchainjs/langchain/src/embeddings/googlepalm.ts/0 | {
"file_path": "langchainjs/langchain/src/embeddings/googlepalm.ts",
"repo_id": "langchainjs",
"token_count": 76
} | 929 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/xglm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xglm.md",
"repo_id": "transformers",
"token_count": 1137
} | 460 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.opensearch import OpensearchReader
def test_class():
names_of_base_classes = [b.__name__ for b in OpensearchReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-opensearch/tests/test_readers_opensearch.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opensearch/tests/test_readers_opensearch.py",
"repo_id": "llama_index",
"token_count": 91
} | 1,353 |
"""A chain for evaluating ReAct style agents.
This chain is used to evaluate ReAct style agents by reasoning about
the sequence of actions taken and their outcomes. It uses a language model
chain (LLMChain) to generate the reasoning and scores.
"""
import re
from typing import (
Any,
Dict,
List,
Optio... | langchain/libs/langchain/langchain/evaluation/agents/trajectory_eval_chain.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/agents/trajectory_eval_chain.py",
"repo_id": "langchain",
"token_count": 5923
} | 505 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querynodev2/segments/reduce_test.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/reduce_test.go",
"repo_id": "milvus",
"token_count": 2366
} | 1,770 |
from langchain_community.vectorstores.lancedb import LanceDB
__all__ = ["LanceDB"]
| langchain/libs/langchain/langchain/vectorstores/lancedb.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/lancedb.py",
"repo_id": "langchain",
"token_count": 27
} | 584 |
# coding=utf-8
# Copyright 2021 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/test_feature_extraction_utils.py/0 | {
"file_path": "transformers/tests/test_feature_extraction_utils.py",
"repo_id": "transformers",
"token_count": 2408
} | 803 |
<jupyter_start><jupyter_text>Tongyi QwenTongyi Qwen is a large-scale language model developed by Alibaba's Damo Academy. It is capable of understanding user intent through natural language understanding and semantic analysis, based on user input in natural language. It provides services and assistance to users in diffe... | langchain/docs/docs/integrations/llms/tongyi.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/tongyi.ipynb",
"repo_id": "langchain",
"token_count": 350
} | 127 |
export {
isBrowser,
isWebWorker,
isJsDom,
isDeno,
isNode,
getEnv,
type RuntimeEnvironment,
getRuntimeEnvironment,
getEnvironmentVariable,
} from "@langchain/core/utils/env";
| langchainjs/langchain/src/util/env.ts/0 | {
"file_path": "langchainjs/langchain/src/util/env.ts",
"repo_id": "langchainjs",
"token_count": 69
} | 961 |
<jupyter_start><jupyter_text>MosaicML>[MosaicML](https://docs.mosaicml.com/en/latest/inference.html) offers a managed inference service. You can either use a variety of open-source models, or deploy your own.This example goes over how to use LangChain to interact with `MosaicML` Inference for text embedding.<jupyter_co... | langchain/docs/docs/integrations/text_embedding/mosaicml.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/mosaicml.ipynb",
"repo_id": "langchain",
"token_count": 413
} | 175 |
//! Test suite for the Web and headless browsers.
#![cfg(target_arch = "wasm32")]
extern crate wasm_bindgen_test;
use wasm_bindgen_test::*;
wasm_bindgen_test_configure!(run_in_browser);
#[wasm_bindgen_test]
fn pass() {
assert_eq!(1 + 1, 2);
}
| tokenizers/tokenizers/examples/unstable_wasm/tests/web.rs/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/tests/web.rs",
"repo_id": "tokenizers",
"token_count": 109
} | 450 |
"""Default prompt selectors."""
from llama_index.core.prompts import SelectorPromptTemplate
from llama_index.core.prompts.chat_prompts import (
CHAT_REFINE_PROMPT,
CHAT_REFINE_TABLE_CONTEXT_PROMPT,
CHAT_TEXT_QA_PROMPT,
CHAT_TREE_SUMMARIZE_PROMPT,
)
from llama_index.core.prompts.default_prompts import (
... | llama_index/llama-index-core/llama_index/core/prompts/default_prompt_selectors.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/prompts/default_prompt_selectors.py",
"repo_id": "llama_index",
"token_count": 526
} | 1,134 |
[tool.poetry]
name = "langsmith"
version = "0.1.1"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
authors = ["LangChain <support@langchain.dev>"]
license = "MIT"
readme = "README.md"
repository = "https://github.com/langchain-ai/langsmith-sdk"
homepage = "https://smith.l... | langsmith-sdk/python/pyproject.toml/0 | {
"file_path": "langsmith-sdk/python/pyproject.toml",
"repo_id": "langsmith-sdk",
"token_count": 685
} | 1,022 |
{
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"target": {
"limit": 100,
"matchAny": false,
"t... | milvus/deployments/monitor/grafana/milvus-dashboard.json/0 | {
"file_path": "milvus/deployments/monitor/grafana/milvus-dashboard.json",
"repo_id": "milvus",
"token_count": 216145
} | 1,764 |
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from sagemaker.huggingface import HuggingFace... | transformers/tests/sagemaker/test_single_node_gpu.py/0 | {
"file_path": "transformers/tests/sagemaker/test_single_node_gpu.py",
"repo_id": "transformers",
"token_count": 1584
} | 765 |
"""You Retriever."""
import logging
import os
from typing import List, Optional
import requests
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.schema import NodeWithScore, QueryBundle, TextNode
logger = logging.getLogge... | llama_index/llama-index-integrations/retrievers/llama-index-retrievers-you/llama_index/retrievers/you/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/retrievers/llama-index-retrievers-you/llama_index/retrievers/you/base.py",
"repo_id": "llama_index",
"token_count": 465
} | 1,466 |
# coding=utf-8
# Copyright 2023 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/models/clap/test_feature_extraction_clap.py/0 | {
"file_path": "transformers/tests/models/clap/test_feature_extraction_clap.py",
"repo_id": "transformers",
"token_count": 19243
} | 773 |
from langchain_community.document_loaders.dataframe import (
BaseDataFrameLoader,
DataFrameLoader,
)
__all__ = ["BaseDataFrameLoader", "DataFrameLoader"]
| langchain/libs/langchain/langchain/document_loaders/dataframe.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/dataframe.py",
"repo_id": "langchain",
"token_count": 52
} | 503 |
from langchain_core.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
__all__ = ["StreamingStdOutCallbackHandler"]
| langchain/libs/langchain/langchain/schema/callbacks/streaming_stdout.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/callbacks/streaming_stdout.py",
"repo_id": "langchain",
"token_count": 37
} | 564 |
# LlamaIndex Finetuning
A LlamaIndex extension package that contains classes and features for carrying
out finetuning of OpenAI LLMs and Embedding models.
| llama_index/llama-index-finetuning/README.md/0 | {
"file_path": "llama_index/llama-index-finetuning/README.md",
"repo_id": "llama_index",
"token_count": 39
} | 1,160 |
<jupyter_start><jupyter_text>Réponses aux questions (TensorFlow) Installez les bibliothèques Transformers et Datasets pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!apt install git-lfs<jupyter_output><empty_output><jupyter_text>Vous aurez besoin de configurer git, adaptez v... | notebooks/course/fr/chapter7/section7_tf.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter7/section7_tf.ipynb",
"repo_id": "notebooks",
"token_count": 6501
} | 297 |
# coding=utf-8
# Copyright 2022 The OpenBMB Team and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | transformers/src/transformers/models/cpmant/configuration_cpmant.py/0 | {
"file_path": "transformers/src/transformers/models/cpmant/configuration_cpmant.py",
"repo_id": "transformers",
"token_count": 2021
} | 584 |
// File only needed for VSCode users to have proper Docker based interpreters
{
"name": "accelerate_dev_environment",
"build": {
// ACTION NEEDED: comment/uncomment the relevant line depending on whether you are in a CPU/GPU environment
"dockerfile": "../docker/accelerate-cpu/Dockerfile"
// ... | accelerate/.devcontainer/devcontainer.json/0 | {
"file_path": "accelerate/.devcontainer/devcontainer.json",
"repo_id": "accelerate",
"token_count": 459
} | 0 |
# Copyright 2024 Alibaba DAMO-VILAB and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... | diffusers/src/diffusers/pipelines/i2vgen_xl/pipeline_i2vgen_xl.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/i2vgen_xl/pipeline_i2vgen_xl.py",
"repo_id": "diffusers",
"token_count": 17765
} | 251 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clip/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clip/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,254 |
<jupyter_start><jupyter_text>ArcGISThis notebook demonstrates the use of the `langchain_community.document_loaders.ArcGISLoader` class.You will need to install the ArcGIS API for Python `arcgis` and, optionally, `bs4.BeautifulSoup`.You can use an `arcgis.gis.GIS` object for authenticated data loading, or leave it blank... | langchain/docs/docs/integrations/document_loaders/arcgis.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/arcgis.ipynb",
"repo_id": "langchain",
"token_count": 748
} | 101 |
python_tests()
| llama_index/llama-index-integrations/question_gen/llama-index-question-gen-guidance/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/question_gen/llama-index-question-gen-guidance/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,362 |
"""Test text splitter."""
from typing import List
import tiktoken
from llama_index.core.node_parser.text import TokenTextSplitter
from llama_index.core.node_parser.text.utils import truncate_text
from llama_index.core.schema import Document, MetadataMode, TextNode
def test_split_token() -> None:
"""Test split no... | llama_index/llama-index-core/tests/text_splitter/test_token_splitter.py/0 | {
"file_path": "llama_index/llama-index-core/tests/text_splitter/test_token_splitter.py",
"repo_id": "llama_index",
"token_count": 1211
} | 1,246 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-cohere/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-cohere/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,279 |
<jupyter_start><jupyter_text>S3/R2 Storage If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>!pip install llama-index
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sy... | llama_index/docs/examples/vector_stores/SimpleIndexOnS3.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/SimpleIndexOnS3.ipynb",
"repo_id": "llama_index",
"token_count": 689
} | 1,169 |
""" GitLab Tool """
| langchain/libs/langchain/langchain/tools/gitlab/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/gitlab/__init__.py",
"repo_id": "langchain",
"token_count": 6
} | 575 |
"""Prompts."""
from abc import ABC, abstractmethod
from copy import deepcopy
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Tuple,
Union,
)
from llama_index.core.bridge.pydantic import Field
if TYPE_CHECKING:
from llama_index.core.bridge.lan... | llama_index/llama-index-core/llama_index/core/prompts/base.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/prompts/base.py",
"repo_id": "llama_index",
"token_count": 8807
} | 1,192 |
from langchain_community.embeddings.mosaicml import MosaicMLInstructorEmbeddings
__all__ = ["MosaicMLInstructorEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/mosaicml.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/mosaicml.py",
"repo_id": "langchain",
"token_count": 41
} | 525 |
import type { ObjectId } from "mongodb";
import type { User } from "./User";
import type { Timestamps } from "./Timestamps";
export interface Assistant extends Timestamps {
_id: ObjectId;
createdById: User["_id"] | string; // user id or session
createdByName?: User["username"];
avatar?: string;
name: string;
des... | chat-ui/src/lib/types/Assistant.ts/0 | {
"file_path": "chat-ui/src/lib/types/Assistant.ts",
"repo_id": "chat-ui",
"token_count": 145
} | 102 |
---
keywords: [AzureOpenAIEmbeddings]
---
# Azure OpenAI
[Azure OpenAI](https://azure.microsoft.com/products/ai-services/openai-service/) is a cloud service to help you quickly develop generative AI experiences with a diverse set of prebuilt and curated models from OpenAI, Meta and beyond.
LangChain.js supports inte... | langchainjs/docs/core_docs/docs/integrations/text_embedding/azure_openai.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/text_embedding/azure_openai.mdx",
"repo_id": "langchainjs",
"token_count": 1643
} | 768 |
<!--Copyright 2024 The Qwen Team and The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applic... | transformers/docs/source/en/model_doc/qwen2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/qwen2.md",
"repo_id": "transformers",
"token_count": 920
} | 452 |
{
"example_name": "text classification",
"directory_name": "{{cookiecutter.example_name|lower|replace(' ', '-')}}",
"example_shortcut": "{{cookiecutter.directory_name}}",
"model_class": "AutoModel",
"authors": "The HuggingFace Team",
"can_train_from_scratch": ["True", "False"],
"with_trainer": ["True", "F... | transformers/templates/adding_a_new_example_script/cookiecutter.json/0 | {
"file_path": "transformers/templates/adding_a_new_example_script/cookiecutter.json",
"repo_id": "transformers",
"token_count": 115
} | 698 |
from __future__ import annotations
import json
import logging
import uuid
from typing import TYPE_CHECKING, Any, Callable, Iterable, List, Optional, Tuple, Type
import numpy as np
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VST... | langchain/libs/community/langchain_community/vectorstores/databricks_vector_search.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/databricks_vector_search.py",
"repo_id": "langchain",
"token_count": 10140
} | 330 |
# coding=utf-8 # Copyright 2020 Huggingface
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | transformers/tests/models/reformer/test_modeling_reformer.py/0 | {
"file_path": "transformers/tests/models/reformer/test_modeling_reformer.py",
"repo_id": "transformers",
"token_count": 27091
} | 783 |
from llama_index.readers.file.slides.base import PptxReader
__all__ = ["PptxReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/slides/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/slides/__init__.py",
"repo_id": "llama_index",
"token_count": 33
} | 1,440 |
use serde::Deserialize;
#[derive(Deserialize)]
/// The type of memberlist provider to use
/// # Options
/// - CustomResource: Use a custom resource to get the memberlist
pub(crate) enum MemberlistProviderType {
CustomResource,
}
/// The configuration for the memberlist provider.
/// # Options
/// - CustomResource... | chroma/rust/worker/src/memberlist/config.rs/0 | {
"file_path": "chroma/rust/worker/src/memberlist/config.rs",
"repo_id": "chroma",
"token_count": 252
} | 61 |
export const PUBLIC_SEP_TOKEN = "</s>";
| chat-ui/src/lib/constants/publicSepToken.ts/0 | {
"file_path": "chat-ui/src/lib/constants/publicSepToken.ts",
"repo_id": "chat-ui",
"token_count": 16
} | 95 |
reviewers:
- wayblink
- jiaoew1991
- congqixia
approvers:
- maintainers
labels:
- area/test
- sig/testing
- test/integration
| milvus/tests/integration/OWNERS/0 | {
"file_path": "milvus/tests/integration/OWNERS",
"repo_id": "milvus",
"token_count": 56
} | 1,886 |
from __future__ import annotations
import json
import re
from typing import (
Any,
Callable,
Iterable,
List,
Optional,
Tuple,
Type,
)
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore, VectorSt... | langchain/libs/community/langchain_community/vectorstores/singlestoredb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/singlestoredb.py",
"repo_id": "langchain",
"token_count": 10405
} | 332 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/dpt/convert_dinov2_depth_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/dpt/convert_dinov2_depth_to_hf.py",
"repo_id": "transformers",
"token_count": 7347
} | 637 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/examples/legacy/seq2seq/old_test_datasets.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/old_test_datasets.py",
"repo_id": "transformers",
"token_count": 5148
} | 509 |
from typing import Any, Dict
from langchain_core.pydantic_v1 import root_validator
from langchain_community.llms.openai import BaseOpenAI
class OpenLM(BaseOpenAI):
"""OpenLM models."""
@classmethod
def is_lc_serializable(cls) -> bool:
return False
@property
def _invocation_params(self)... | langchain/libs/community/langchain_community/llms/openlm.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/openlm.py",
"repo_id": "langchain",
"token_count": 383
} | 272 |
<jupyter_start><jupyter_text>Generative Agents in LangChainThis notebook implements a generative agent based on the paper [Generative Agents: Interactive Simulacra of Human Behavior](https://arxiv.org/abs/2304.03442) by Park, et. al.In it, we leverage a time-weighted Memory object backed by a LangChain Retriever.<jupyt... | langchain/cookbook/generative_agents_interactive_simulacra_of_human_behavior.ipynb/0 | {
"file_path": "langchain/cookbook/generative_agents_interactive_simulacra_of_human_behavior.ipynb",
"repo_id": "langchain",
"token_count": 4641
} | 78 |
# The SnowballTarget Environment
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit7/snowballtarget.gif" alt="SnowballTarget"/>
SnowballTarget is an environment we created at Hugging Face using assets from [Kay Lousberg](https://kaylousberg.com/). We have an option... | deep-rl-class/units/en/unit5/snowball-target.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit5/snowball-target.mdx",
"repo_id": "deep-rl-class",
"token_count": 1019
} | 172 |
import { OpenAI } from "@langchain/openai";
import { ConsoleCallbackHandler } from "@langchain/core/tracers/console";
const llm = new OpenAI({
temperature: 0,
});
const response = await llm.call("1 + 1 =", {
// These tags will be attached only to this call to the LLM.
tags: ["example", "callbacks", "request"],
... | langchainjs/examples/src/callbacks/docs_request_callbacks.ts/0 | {
"file_path": "langchainjs/examples/src/callbacks/docs_request_callbacks.ts",
"repo_id": "langchainjs",
"token_count": 126
} | 761 |
package kafka
import (
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/mq/msgstream/mqwrapper"
)
type kafkaID struct {
messageID int64
}
var _ mqwrapper.MessageID = &kafkaID{}
func (kid *kafkaID) Serialize() []byte {
return SerializeKafkaID(kid.messageID)
}
func (kid *kafkaID) AtEarli... | milvus/pkg/mq/msgstream/mqwrapper/kafka/kafka_id.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/mqwrapper/kafka/kafka_id.go",
"repo_id": "milvus",
"token_count": 350
} | 1,815 |
---
anArray:
one
- two
- three
tags: 'onetag', 'twotag' ]
---
A document with frontmatter that isn't valid.
| langchain/libs/community/tests/unit_tests/document_loaders/sample_documents/obsidian/bad_frontmatter.md/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/sample_documents/obsidian/bad_frontmatter.md",
"repo_id": "langchain",
"token_count": 41
} | 405 |
import { AI, environment } from "@raycast/api";
import { LLM, type BaseLLMParams } from "@langchain/core/language_models/llms";
/**
* The input parameters for the RaycastAI class, which extends the BaseLLMParams interface.
*/
export interface RaycastAIInput extends BaseLLMParams {
model?: AI.Model;
creativity?: ... | langchainjs/libs/langchain-community/src/llms/raycast.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/raycast.ts",
"repo_id": "langchainjs",
"token_count": 935
} | 946 |
[req]
distinguished_name = req_distinguished_name
x509_extensions = usr_cert
[req_distinguished_name]
CN = localhost
[usr_cert]
subjectAltName = @alt_names
[alt_names]
DNS.1 = localhost | chroma/chromadb/test/openssl.cnf/0 | {
"file_path": "chroma/chromadb/test/openssl.cnf",
"repo_id": "chroma",
"token_count": 72
} | 24 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/look_aside_balancer.go/0 | {
"file_path": "milvus/internal/proxy/look_aside_balancer.go",
"repo_id": "milvus",
"token_count": 3791
} | 1,827 |
import pytest
from langchain_community.embeddings.openai import OpenAIEmbeddings
@pytest.mark.requires("openai")
def test_openai_invalid_model_kwargs() -> None:
with pytest.raises(ValueError):
OpenAIEmbeddings(model_kwargs={"model": "foo"})
@pytest.mark.requires("openai")
def test_openai_incorrect_fiel... | langchain/libs/community/tests/unit_tests/embeddings/test_openai.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/embeddings/test_openai.py",
"repo_id": "langchain",
"token_count": 193
} | 377 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/readers/steamship/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/steamship/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,766 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/es/add_new_pipeline.md/0 | {
"file_path": "transformers/docs/source/es/add_new_pipeline.md",
"repo_id": "transformers",
"token_count": 4318
} | 477 |
export interface DocumentInput<
// eslint-disable-next-line @typescript-eslint/no-explicit-any
Metadata extends Record<string, any> = Record<string, any>
> {
pageContent: string;
metadata?: Metadata;
}
export interface DocumentInterface<
// eslint-disable-next-line @typescript-eslint/no-explicit-any
Metad... | langchainjs/langchain-core/src/documents/document.ts/0 | {
"file_path": "langchainjs/langchain-core/src/documents/document.ts",
"repo_id": "langchainjs",
"token_count": 305
} | 858 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["ChatGPTRetrievalPluginClient"]
contains_example = false
import_path = "llama_index.vector... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-chatgpt-plugin/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-chatgpt-plugin/pyproject.toml",
"repo_id": "llama_index",
"token_count": 649
} | 1,517 |
<div align="center">
# Text Generation Inference benchmarking tool
</div>
A lightweight benchmarking tool based inspired by [oha](https://github.com/hatoo/oha)
and powered by [tui](https://github.com/tui-rs-revival/ratatui).
## Install
```shell
make install-benchmark
```
... | text-generation-inference/benchmark/README.md/0 | {
"file_path": "text-generation-inference/benchmark/README.md",
"repo_id": "text-generation-inference",
"token_count": 189
} | 378 |
# DataNode Recovery Design
update: 5.21.2021, by [Goose](https://github.com/XuanYang-cn)
update: 6.03.2021, by [Goose](https://github.com/XuanYang-cn)
update: 6.21.2021, by [Goose](https://github.com/XuanYang-cn)
## What's DataNode?
DataNode processes insert data and persists insert data into storage.
DataNode is... | milvus/docs/design_docs/20210521-datanode_recovery_design.md/0 | {
"file_path": "milvus/docs/design_docs/20210521-datanode_recovery_design.md",
"repo_id": "milvus",
"token_count": 1664
} | 1,628 |
from pathlib import Path
from typing import Any, List
import pytest
from langchain_core.documents import Document
from langchain_community.document_loaders import DirectoryLoader
def test_raise_error_if_path_not_exist() -> None:
loader = DirectoryLoader("./not_exist_directory")
with pytest.raises(FileNotFou... | langchain/libs/community/tests/unit_tests/document_loaders/test_directory.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_directory.py",
"repo_id": "langchain",
"token_count": 599
} | 408 |
import torch
from dataclasses import dataclass
from text_generation_server.utils.layers import TensorParallelHead, FastLinear
@dataclass
class Output:
logits: torch.FloatTensor = None
speculative_logits: torch.FloatTensor = None
class ResBlock(torch.nn.Module):
def __init__(self, config, prefix, weights... | text-generation-inference/server/text_generation_server/utils/medusa.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/medusa.py",
"repo_id": "text-generation-inference",
"token_count": 803
} | 429 |
{
"git": {
"deploymentEnabled": {
"main": false
}
}
}
| chat-langchain/chat-langchain/vercel.json/0 | {
"file_path": "chat-langchain/chat-langchain/vercel.json",
"repo_id": "chat-langchain",
"token_count": 39
} | 8 |
# LlamaIndex Vector_Stores Integration: Awadb
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,592 |
async function test() {
const { default: assert } = await import("assert");
const { OpenAI } = await import("langchain/llms/openai");
const { LLMChain } = await import("langchain/chains");
const { ChatPromptTemplate } = await import("langchain/prompts");
const { loadPrompt } = await import("langchain/prompts/... | langchainjs/environment_tests/test-exports-bun/src/import.cjs/0 | {
"file_path": "langchainjs/environment_tests/test-exports-bun/src/import.cjs",
"repo_id": "langchainjs",
"token_count": 543
} | 804 |
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