From 0172d938b4bf1e9da9f3b796dbfce64c565ce565 Mon Sep 17 00:00:00 2001 From: ccurme Date: Thu, 31 Oct 2024 12:37:41 -0400 Subject: [PATCH 01/17] community: add AzureOpenAIWhisperParser (#27796) Commandeered from https://github.com/langchain-ai/langchain/pull/26757. --------- Co-authored-by: Sheepsta300 <128811766+Sheepsta300@users.noreply.github.com> --- .../parsers/azure_openai_whisper_parser.ipynb | 192 +++++++++++++++ .../document_loaders/parsers/audio.py | 227 +++++++++++++++++- libs/community/tests/examples/hello_world.m4a | Bin 0 -> 61634 bytes .../parsers/test_azure_whisper_parser.py | 104 ++++++++ 4 files changed, 513 insertions(+), 10 deletions(-) create mode 100644 docs/docs/integrations/document_loaders/parsers/azure_openai_whisper_parser.ipynb create mode 100644 libs/community/tests/examples/hello_world.m4a create mode 100644 libs/community/tests/unit_tests/document_loaders/parsers/test_azure_whisper_parser.py diff --git a/docs/docs/integrations/document_loaders/parsers/azure_openai_whisper_parser.ipynb b/docs/docs/integrations/document_loaders/parsers/azure_openai_whisper_parser.ipynb new file mode 100644 index 00000000000..b3dadb1f0ad --- /dev/null +++ b/docs/docs/integrations/document_loaders/parsers/azure_openai_whisper_parser.ipynb @@ -0,0 +1,192 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Azure OpenAI Whisper Parser" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + ">[Azure OpenAI Whisper Parser](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/whisper-overview) is a wrapper around the Azure OpenAI Whisper API which utilizes machine learning to transcribe audio files to english text. \n", + ">\n", + ">The Parser supports `.mp3`, `.mp4`, `.mpeg`, `.mpga`, `.m4a`, `.wav`, and `.webm`.\n", + "\n", + "The current implementation follows LangChain core principles and can be used with other loaders to handle both audio downloading and parsing. As a result of this the parser will `yield` an `Iterator[Document]`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prerequisites" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The service requires Azure credentials, Azure endpoint and Whisper Model deployment, which can be set up by following the guide [here](https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line%2Cpython-new%2Cjavascript&pivots=programming-language-python). Furthermore, the required dependencies must be installed.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%pip install -Uq langchain langchain-community openai" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Example 1" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `AzureOpenAIWhisperParser`'s method, `.lazy_parse`, accepts a `Blob` object as a parameter containing the file path of the file to be transcribed." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_core.documents.base import Blob\n", + "\n", + "audio_path = \"path/to/your/audio/file\"\n", + "audio_blob = Blob(path=audio_path)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_community.document_loaders.parsers.audio import AzureOpenAIWhisperParser\n", + "\n", + "endpoint = \"\"\n", + "key = \"\"\n", + "name = \"\"\n", + "\n", + "parser = AzureOpenAIWhisperParser(\n", + " api_key=key, azure_endpoint=endpoint, api_version=version, deployment_name=name\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "documents = parser.lazy_parse(blob=audio_blob)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for doc in documents:\n", + " print(doc.page_content)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Example 2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `AzureOpenAIWhisperParser` can also be used in conjuction with audio loaders, like the `YoutubeAudioLoader` with a `GenericLoader`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_community.document_loaders.blob_loaders.youtube_audio import (\n", + " YoutubeAudioLoader,\n", + ")\n", + "from langchain_community.document_loaders.generic import GenericLoader" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Must be a list\n", + "url = [\"www.youtube.url.com\"]\n", + "\n", + "save_dir = \"save/directory/\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "name = \"\"\n", + "\n", + "loader = GenericLoader(\n", + " YoutubeAudioLoader(url, save_dir), AzureOpenAIWhisperParser(deployment_name=name)\n", + ")\n", + "\n", + "docs = loader.load()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for doc in documents:\n", + " print(doc.page_content)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/libs/community/langchain_community/document_loaders/parsers/audio.py b/libs/community/langchain_community/document_loaders/parsers/audio.py index abc08e561a5..32ced082601 100644 --- a/libs/community/langchain_community/document_loaders/parsers/audio.py +++ b/libs/community/langchain_community/document_loaders/parsers/audio.py @@ -1,7 +1,8 @@ +import io import logging import os import time -from typing import Any, Dict, Iterator, Literal, Optional, Tuple, Union +from typing import Any, Callable, Dict, Iterator, Literal, Optional, Tuple, Union from langchain_core.documents import Document @@ -12,6 +13,218 @@ from langchain_community.utils.openai import is_openai_v1 logger = logging.getLogger(__name__) +class AzureOpenAIWhisperParser(BaseBlobParser): + """ + Transcribe and parse audio files using Azure OpenAI Whisper. + + This parser integrates with the Azure OpenAI Whisper model to transcribe + audio files. It differs from the standard OpenAI Whisper parser, requiring + an Azure endpoint and credentials. The parser is limited to files under 25 MB. + + **Note**: + This parser uses the Azure OpenAI API, providing integration with the Azure + ecosystem, and making it suitable for workflows involving other Azure services. + + For files larger than 25 MB, consider using Azure AI Speech batch transcription: + https://learn.microsoft.com/azure/ai-services/speech-service/batch-transcription-create?pivots=rest-api#use-a-whisper-model + + Setup: + 1. Follow the instructions here to deploy Azure Whisper: + https://learn.microsoft.com/azure/ai-services/openai/whisper-quickstart?tabs=command-line%2Cpython-new&pivots=programming-language-python + 2. Install ``langchain`` and set the following environment variables: + + .. code-block:: bash + + pip install -U langchain langchain-community + + export AZURE_OPENAI_API_KEY="your-api-key" + export AZURE_OPENAI_ENDPOINT="https://your-endpoint.openai.azure.com/" + export OPENAI_API_VERSION="your-api-version" + + Example Usage: + .. code-block:: python + + from langchain.community import AzureOpenAIWhisperParser + + whisper_parser = AzureOpenAIWhisperParser( + deployment_name="your-whisper-deployment", + api_version="2024-06-01", + api_key="your-api-key", + # other params... + ) + + audio_blob = Blob(path="your-audio-file-path") + response = whisper_parser.lazy_parse(audio_blob) + + for document in response: + print(document.page_content) + + Integration with Other Loaders: + The AzureOpenAIWhisperParser can be used with video/audio loaders and + `GenericLoader` to automate retrieval and parsing. + + YoutubeAudioLoader Example: + .. code-block:: python + + from langchain_community.document_loaders.blob_loaders import ( + YoutubeAudioLoader + ) + from langchain_community.document_loaders.generic import GenericLoader + + # Must be a list + youtube_url = ["https://your-youtube-url"] + save_dir = "directory-to-download-videos" + + loader = GenericLoader( + YoutubeAudioLoader(youtube_url, save_dir), + AzureOpenAIWhisperParser(deployment_name="your-deployment-name") + ) + + docs = loader.load() + """ + + def __init__( + self, + *, + api_key: Optional[str] = None, + azure_endpoint: Optional[str] = None, + api_version: Optional[str] = None, + azure_ad_token_provider: Union[Callable[[], str], None] = None, + language: Optional[str] = None, + prompt: Optional[str] = None, + response_format: Union[ + Literal["json", "text", "srt", "verbose_json", "vtt"], None + ] = None, + temperature: Optional[float] = None, + deployment_name: str, + max_retries: int = 3, + ): + """ + Initialize the AzureOpenAIWhisperParser. + + Args: + api_key (Optional[str]): + Azure OpenAI API key. If not provided, defaults to the + `AZURE_OPENAI_API_KEY` environment variable. + azure_endpoint (Optional[str]): + Azure OpenAI service endpoint. Defaults to `AZURE_OPENAI_ENDPOINT` + environment variable if not set. + api_version (Optional[str]): + API version to use, + defaults to the `OPENAI_API_VERSION` environment variable. + azure_ad_token_provider (Union[Callable[[], str], None]): + Azure Active Directory token for authentication (if applicable). + language (Optional[str]): + Language in which the request should be processed. + prompt (Optional[str]): + Custom instructions or prompt for the Whisper model. + response_format (Union[str, None]): + The desired output format. Options: "json", "text", "srt", + "verbose_json", "vtt". + temperature (Optional[float]): + Controls the randomness of the model's output. + deployment_name (str): + The deployment name of the Whisper model. + max_retries (int): + Maximum number of retries for failed API requests. + Raises: + ImportError: + If the required package `openai` is not installed. + """ + self.api_key = api_key or os.environ.get("AZURE_OPENAI_API_KEY") + self.azure_endpoint = azure_endpoint or os.environ.get("AZURE_OPENAI_ENDPOINT") + self.api_version = api_version or os.environ.get("OPENAI_API_VERSION") + self.azure_ad_token_provider = azure_ad_token_provider + + self.language = language + self.prompt = prompt + self.response_format = response_format + self.temperature = temperature + + self.deployment_name = deployment_name + self.max_retries = max_retries + + try: + import openai + except ImportError: + raise ImportError( + "openai package not found, please install it with " + "`pip install openai`" + ) + + if is_openai_v1(): + self._client = openai.AzureOpenAI( + api_key=self.api_key, + azure_endpoint=self.azure_endpoint, + api_version=self.api_version, + max_retries=self.max_retries, + azure_ad_token=self.azure_ad_token_provider, + ) + else: + if self.api_key: + openai.api_key = self.api_key + if self.azure_endpoint: + openai.api_base = self.azure_endpoint + if self.api_version: + openai.api_version = self.api_version + openai.api_type = "azure" + self._client = openai + + @property + def _create_params(self) -> Dict[str, Any]: + params = { + "language": self.language, + "prompt": self.prompt, + "response_format": self.response_format, + "temperature": self.temperature, + } + return {k: v for k, v in params.items() if v is not None} + + def lazy_parse(self, blob: Blob) -> Iterator[Document]: + """ + Lazily parse the provided audio blob for transcription. + + Args: + blob (Blob): + The audio file in Blob format to be transcribed. + + Yields: + Document: + Parsed transcription from the audio file. + + Raises: + Exception: + If an error occurs during transcription. + """ + + file_obj = open(str(blob.path), "rb") + + # Transcribe + try: + if is_openai_v1(): + transcript = self._client.audio.transcriptions.create( + model=self.deployment_name, + file=file_obj, + **self._create_params, + ) + else: + transcript = self._client.Audio.transcribe( + model=self.deployment_name, + deployment_id=self.deployment_name, + file=file_obj, + **self._create_params, + ) + except Exception: + raise + + yield Document( + page_content=transcript.text + if not isinstance(transcript, str) + else transcript, + metadata={"source": blob.source}, + ) + + class OpenAIWhisperParser(BaseBlobParser): """Transcribe and parse audio files. @@ -19,7 +232,7 @@ class OpenAIWhisperParser(BaseBlobParser): Args: api_key: OpenAI API key - chunk_duration_threshold: minimum duration of a chunk in seconds + chunk_duration_threshold: Minimum duration of a chunk in seconds NOTE: According to the OpenAI API, the chunk duration should be at least 0.1 seconds. If the chunk duration is less or equal than the threshold, it will be skipped. @@ -61,8 +274,6 @@ class OpenAIWhisperParser(BaseBlobParser): def lazy_parse(self, blob: Blob) -> Iterator[Document]: """Lazily parse the blob.""" - import io - try: import openai except ImportError: @@ -85,11 +296,11 @@ class OpenAIWhisperParser(BaseBlobParser): if self.api_key: openai.api_key = self.api_key if self.base_url: - openai.base_url = self.base_url + openai.api_base = self.base_url # Audio file from disk - audio = AudioSegment.from_file(blob.path) + audio = AudioSegment.from_file(blob.path) # Define the duration of each chunk in minutes # Need to meet 25MB size limit for Whisper API chunk_duration = 20 @@ -240,8 +451,6 @@ class OpenAIWhisperParserLocal(BaseBlobParser): def lazy_parse(self, blob: Blob) -> Iterator[Document]: """Lazily parse the blob.""" - import io - try: from pydub import AudioSegment except ImportError: @@ -436,8 +645,6 @@ class FasterWhisperParser(BaseBlobParser): def lazy_parse(self, blob: Blob) -> Iterator[Document]: """Lazily parse the blob.""" - import io - try: from pydub import AudioSegment except ImportError: diff --git a/libs/community/tests/examples/hello_world.m4a b/libs/community/tests/examples/hello_world.m4a new file mode 100644 index 0000000000000000000000000000000000000000..959ddd19aa63a976671565444c70171b0030920f GIT binary patch literal 61634 zcmeEuWmsIx)+QDRkU)^&8VDq~1lNQFLU4Bo?(QBS(73z1yEhu#-QC@3nuf*(a?btk zx#zq0`!n-vX6kv^wcfQ#_O4aEcU8Srz`(%Z8Q3{nnOl8efq4v%F|)C)rTL@y&feZw zPd)GX4NK^!XZhOtX#FTLv5)!}%uEbS3@j|{tjr8dj~LrZ&)DKIehixBf5iJ$=6c$8 zkFt}wgOMKWA4-@F>`S*N@sGIi$De8#n8yVFNb_6wFW^!0H!S#H8UL*S|Cpi1&PLnx z(W-7|YNYoV!#>sdXZ>*hF4ylW{#MWbTraGQxt_81V_9V8dcW)V{ak;2HigdLHPIXC znc4iKPFqX+KildLjoc&F`>JiBXQux<&8@kyg~6lgm96<7h5nh5^0AGd^hA0#`cLsw zc)Hye_BLi@f6BjX?R3l@Wj$Lv+oy+q3QuX|AD#Miqfg-p{}JF|UOfqax`9dGR?qec z!~gj4gY+>*c#N?HU&A26z`z~<{(JVQfx`$#gneqjSGIO`ztca;PvH^U>i!}AzG6RO 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zzx4e7^`1e%jm->zCRpIc|GQtR-%k}hcx`NH_eYhzHNxso9>mH3ZT!N(%GlBblsUr! zH?unR;q2l6@!>$ZTgJc28IA2sKt7m2bIB2QmMp*W#B=rzhL%9y*xteZkN*eCsK9Ob zKtsU<(!UZB!6h&QOaYjB!3^=6H*c5$d1bj!r zm-Y@0r}BU(=tExo@ zF#klf000r{L_kzM80ikmff47YG}tDf8>GRg_tSEa2g-m^_(0@5;XaTD6rb{dj-Hwh ztPv2M1>hb4VEx;G9H@H>03iDP6ac#jCjnRh0L+8!fOcL30JI6TMHm22fY%Q|HvmB7 zKH&xc>j13%h9Lk0YagffF#z&Fbo^=G0G(hSe5MV&*6vguuot|N?^K2w!1Mrsm<0e( zFGz#q1j++fasVf%?HbIB#Gd zf&6J*P5=YzB7}9o0CU?r7y)y5nt-t)2I{l=5D+{UARsV|Cm;Zy%>%C)1Wz@buGLr} zj2#RBX@0oLDF!Rv`1c0}_$dA7V{_Un@XvWOOM3?ZKhyv|ivR{DhJaFCj!WFi$Qt;r an5vk;O@Jc6PT+S;BhgVn;Xpo0`2PSa@nLHK literal 0 HcmV?d00001 diff --git a/libs/community/tests/unit_tests/document_loaders/parsers/test_azure_whisper_parser.py b/libs/community/tests/unit_tests/document_loaders/parsers/test_azure_whisper_parser.py new file mode 100644 index 00000000000..d48970534c1 --- /dev/null +++ b/libs/community/tests/unit_tests/document_loaders/parsers/test_azure_whisper_parser.py @@ -0,0 +1,104 @@ +"""Tests for the Azure OpenAI Whisper parser.""" + +from pathlib import Path +from typing import Any +from unittest.mock import Mock, patch + +import pytest +from langchain_core.documents import Document +from langchain_core.documents.base import Blob + +from langchain_community.document_loaders.parsers.audio import AzureOpenAIWhisperParser + +_THIS_DIR = Path(__file__).parents[3] + +_EXAMPLES_DIR = _THIS_DIR / "examples" +AUDIO_M4A = _EXAMPLES_DIR / "hello_world.m4a" + + +@pytest.mark.requires("openai") +@patch("openai.AzureOpenAI") +def test_azure_openai_whisper(mock_client: Mock) -> None: + endpoint = "endpoint" + key = "key" + version = "115" + name = "model" + + parser = AzureOpenAIWhisperParser( + api_key=key, azure_endpoint=endpoint, api_version=version, deployment_name=name + ) + mock_client.assert_called_once_with( + api_key=key, + azure_endpoint=endpoint, + api_version=version, + max_retries=3, + azure_ad_token=None, + ) + assert parser._client == mock_client() + + +@pytest.mark.requires("openai") +def test_is_openai_v1_lazy_parse(mocker: Any) -> None: + endpoint = "endpoint" + key = "key" + version = "115" + name = "model" + + mock_blob = mocker.Mock(spec=Blob) + mock_blob.path = AUDIO_M4A + mock_blob.source = "test_source" + + mock_openai_client = mocker.Mock() + + mock_openai_client.audio.transcriptions.create.return_value = mocker.Mock() + mock_openai_client.audio.transcriptions.create.return_value.text = ( + "Transcribed text" + ) + + mocker.patch("langchain_community.utils.openai.is_openai_v1", return_value=True) + + parser = AzureOpenAIWhisperParser( + api_key=key, azure_endpoint=endpoint, api_version=version, deployment_name=name + ) + + parser._client = mock_openai_client + + result = list(parser.lazy_parse(mock_blob)) + + assert len(result) == 1 + assert isinstance(result[0], Document) + assert result[0].page_content == "Transcribed text" + assert result[0].metadata["source"] == "test_source" + + +@pytest.mark.requires("openai") +def test_is_not_openai_v1_lazy_parse(mocker: Any) -> None: + endpoint = "endpoint" + key = "key" + version = "115" + name = "model" + + mock_blob = mocker.Mock(spec=Blob) + mock_blob.path = AUDIO_M4A + mock_blob.source = "test_source" + + mock_openai_client = mocker.Mock() + + mock_openai_client.audio.transcriptions.create.return_value = mocker.Mock() + mock_openai_client.audio.transcriptions.create.return_value.text = ( + "Transcribed text" + ) + + mocker.patch("langchain_community.utils.openai.is_openai_v1", return_value=False) + + parser = AzureOpenAIWhisperParser( + api_key=key, azure_endpoint=endpoint, api_version=version, deployment_name=name + ) + parser._client = mock_openai_client + + result = list(parser.lazy_parse(mock_blob)) + + assert len(result) == 1 + assert isinstance(result[0], Document) + assert result[0].page_content == "Transcribed text" + assert result[0].metadata["source"] == "test_source" From d9163e7afa0e5e975d36b7482c6a101e5c5dc375 Mon Sep 17 00:00:00 2001 From: Changyong Um Date: Fri, 1 Nov 2024 01:44:35 +0900 Subject: [PATCH 02/17] community[docs]: Add content for the Lora adapter in the VLLM page. (#27788) **Description:** I added code for lora_request in the community package, but I forgot to add content to the VLLM page. So, I will do that now. #27731 --------- Co-authored-by: Um Changyong --- docs/docs/integrations/llms/vllm.ipynb | 29 ++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/docs/docs/integrations/llms/vllm.ipynb b/docs/docs/integrations/llms/vllm.ipynb index 6d45b102dc1..1e1baff9631 100644 --- a/docs/docs/integrations/llms/vllm.ipynb +++ b/docs/docs/integrations/llms/vllm.ipynb @@ -246,6 +246,35 @@ ")\n", "print(llm.invoke(\"Rome is\"))" ] + }, + { + "cell_type": "markdown", + "id": "bd3f0f51", + "metadata": {}, + "source": [ + "## LoRA adapter\n", + "LoRA adapters can be used with any vLLM model that implements `SupportsLoRA`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2682ca6c", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_community.llms import VLLM\n", + "from vllm.lora.request import LoRARequest\n", + "\n", + "llm = VLLM(model=\"meta-llama/Llama-2-7b-hf\", enable_lora=True)\n", + "\n", + "LoRA_ADAPTER_PATH = \"path/to/adapter\"\n", + "lora_adapter = LoRARequest(\"lora_adapter\", 1, LoRA_ADAPTER_PATH)\n", + "\n", + "print(\n", + " llm.invoke(\"What are some popular Korean street foods?\", lora_request=lora_adapter)\n", + ")" + ] } ], "metadata": { From ad0387ac97e0c8feee4272f4ed98f0d65bd616ba Mon Sep 17 00:00:00 2001 From: ZhangShenao <15201440436@163.com> Date: Fri, 1 Nov 2024 00:56:44 +0800 Subject: [PATCH 03/17] Improvement [docs] Improve api docs (#27787) - Add missing param - Remove unused param --------- Co-authored-by: Chester Curme --- libs/core/langchain_core/indexing/api.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/core/langchain_core/indexing/api.py b/libs/core/langchain_core/indexing/api.py index ab729314cfc..c310deb2415 100644 --- a/libs/core/langchain_core/indexing/api.py +++ b/libs/core/langchain_core/indexing/api.py @@ -484,7 +484,7 @@ async def aindex( docs_source: Data loader or iterable of documents to index. record_manager: Timestamped set to keep track of which documents were updated. - vectorstore: Vector store or Document Index to index the documents into + vector_store: VectorStore or DocumentIndex to index the documents into. batch_size: Batch size to use when indexing. Default is 100. cleanup: How to handle clean up of documents. Default is None. - Incremental: Cleans up all documents that haven't been updated AND From c1e742347f9701aadba8920e4d1f79a636e50b68 Mon Sep 17 00:00:00 2001 From: Bagatur <22008038+baskaryan@users.noreply.github.com> Date: Thu, 31 Oct 2024 10:34:51 -0700 Subject: [PATCH 04/17] core[patch]: rm image loading (#27797) --- libs/core/langchain_core/prompts/image.py | 33 +++++++-------- libs/core/langchain_core/utils/image.py | 33 +++------------ .../tests/unit_tests/prompts/test_chat.py | 42 ++++++------------- 3 files changed, 35 insertions(+), 73 deletions(-) diff --git a/libs/core/langchain_core/prompts/image.py b/libs/core/langchain_core/prompts/image.py index 9336e20f60a..334e2b85aee 100644 --- a/libs/core/langchain_core/prompts/image.py +++ b/libs/core/langchain_core/prompts/image.py @@ -9,7 +9,6 @@ from langchain_core.prompts.string import ( PromptTemplateFormat, ) from langchain_core.runnables import run_in_executor -from langchain_core.utils import image as image_utils class ImagePromptTemplate(BasePromptTemplate[ImageURL]): @@ -80,8 +79,8 @@ class ImagePromptTemplate(BasePromptTemplate[ImageURL]): A formatted string. Raises: - ValueError: If the url or path is not provided. - ValueError: If the path or url is not a string. + ValueError: If the url is not provided. + ValueError: If the url is not a string. Example: @@ -98,23 +97,24 @@ class ImagePromptTemplate(BasePromptTemplate[ImageURL]): else: formatted[k] = v url = kwargs.get("url") or formatted.get("url") - path = kwargs.get("path") or formatted.get("path") - detail = kwargs.get("detail") or formatted.get("detail") - if not url and not path: - msg = "Must provide either url or path." + if kwargs.get("path") or formatted.get("path"): + msg = ( + "Loading images from 'path' has been removed as of 0.3.15 for security " + "reasons. Please specify images by 'url'." + ) raise ValueError(msg) + detail = kwargs.get("detail") or formatted.get("detail") if not url: - if not isinstance(path, str): - msg = "path must be a string." - raise ValueError(msg) - url = image_utils.image_to_data_url(path) - if not isinstance(url, str): + msg = "Must provide url." + raise ValueError(msg) + elif not isinstance(url, str): msg = "url must be a string." raise ValueError(msg) - output: ImageURL = {"url": url} - if detail: - # Don't check literal values here: let the API check them - output["detail"] = detail # type: ignore[typeddict-item] + else: + output: ImageURL = {"url": url} + if detail: + # Don't check literal values here: let the API check them + output["detail"] = detail # type: ignore[typeddict-item] return output async def aformat(self, **kwargs: Any) -> ImageURL: @@ -127,7 +127,6 @@ class ImagePromptTemplate(BasePromptTemplate[ImageURL]): A formatted string. Raises: - ValueError: If the url or path is not provided. ValueError: If the path or url is not a string. """ return await run_in_executor(None, self.format, **kwargs) diff --git a/libs/core/langchain_core/utils/image.py b/libs/core/langchain_core/utils/image.py index 708f0c7fdea..7bbc499a4ac 100644 --- a/libs/core/langchain_core/utils/image.py +++ b/libs/core/langchain_core/utils/image.py @@ -1,29 +1,8 @@ -import base64 -import mimetypes +from typing import Any -def encode_image(image_path: str) -> str: - """Get base64 string from image URI. - - Args: - image_path: The path to the image. - - Returns: - The base64 string of the image. - """ - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode("utf-8") - - -def image_to_data_url(image_path: str) -> str: - """Get data URL from image URI. - - Args: - image_path: The path to the image. - - Returns: - The data URL of the image. - """ - encoding = encode_image(image_path) - mime_type = mimetypes.guess_type(image_path)[0] - return f"data:{mime_type};base64,{encoding}" +def __getattr__(name: str) -> Any: + if name in ("encode_image", "image_to_data_url"): + msg = f"'{name}' has been removed for security reasons." + raise ValueError(msg) + raise AttributeError(name) diff --git a/libs/core/tests/unit_tests/prompts/test_chat.py b/libs/core/tests/unit_tests/prompts/test_chat.py index eee1ac498ec..8038281b58d 100644 --- a/libs/core/tests/unit_tests/prompts/test_chat.py +++ b/libs/core/tests/unit_tests/prompts/test_chat.py @@ -719,7 +719,7 @@ async def test_chat_tmpl_from_messages_multipart_image() -> None: async def test_chat_tmpl_from_messages_multipart_formatting_with_path() -> None: - """Verify that we can pass `path` for an image as a variable.""" + """Verify that we cannot pass `path` for an image as a variable.""" in_mem = "base64mem" in_file_data = "base64file01" @@ -746,35 +746,19 @@ async def test_chat_tmpl_from_messages_multipart_formatting_with_path() -> None: ), ] ) - expected = [ - SystemMessage(content="You are an AI assistant named R2D2."), - HumanMessage( - content=[ - {"type": "text", "text": "What's in this image?"}, - { - "type": "image_url", - "image_url": {"url": f"data:image/jpeg;base64,{in_mem}"}, - }, - { - "type": "image_url", - "image_url": {"url": f"data:image/jpeg;base64,{in_file_data}"}, - }, - ] - ), - ] - messages = template.format_messages( - name="R2D2", - in_mem=in_mem, - file_path=temp_file.name, - ) - assert messages == expected + with pytest.raises(ValueError): + template.format_messages( + name="R2D2", + in_mem=in_mem, + file_path=temp_file.name, + ) - messages = await template.aformat_messages( - name="R2D2", - in_mem=in_mem, - file_path=temp_file.name, - ) - assert messages == expected + with pytest.raises(ValueError): + await template.aformat_messages( + name="R2D2", + in_mem=in_mem, + file_path=temp_file.name, + ) def test_messages_placeholder() -> None: From 181bcd05778ff08688ea22f8dab81a6bd27501fd Mon Sep 17 00:00:00 2001 From: Bagatur <22008038+baskaryan@users.noreply.github.com> Date: Thu, 31 Oct 2024 10:35:02 -0700 Subject: [PATCH 05/17] core[patch]: Release 0.3.15 (#27802) --- libs/core/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/core/pyproject.toml b/libs/core/pyproject.toml index 402ba2c237a..3e01a133640 100644 --- a/libs/core/pyproject.toml +++ b/libs/core/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "langchain-core" -version = "0.3.14" +version = "0.3.15" description = "Building applications with LLMs through composability" authors = [] license = "MIT" From e4e2aa0b78e6662bb5cebb06b15c19ddbe96ae43 Mon Sep 17 00:00:00 2001 From: Bagatur <22008038+baskaryan@users.noreply.github.com> Date: Thu, 31 Oct 2024 10:56:43 -0700 Subject: [PATCH 06/17] core[patch]: update image util err msg (#27803) --- libs/core/langchain_core/utils/image.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/libs/core/langchain_core/utils/image.py b/libs/core/langchain_core/utils/image.py index 7bbc499a4ac..f46ee599d32 100644 --- a/libs/core/langchain_core/utils/image.py +++ b/libs/core/langchain_core/utils/image.py @@ -3,6 +3,11 @@ from typing import Any def __getattr__(name: str) -> Any: if name in ("encode_image", "image_to_data_url"): - msg = f"'{name}' has been removed for security reasons." + msg = ( + f"'{name}' has been removed for security reasons.\n\n" + f"Usage of this utility in environments with user-input paths is a " + f"security vulnerability. Out of an abundance of caution, the utility " + f"has been removed to prevent possible misuse." + ) raise ValueError(msg) raise AttributeError(name) From 25a103187137077d4331e7153fe119e1c0c3ffb6 Mon Sep 17 00:00:00 2001 From: Tao Wang Date: Fri, 1 Nov 2024 05:00:16 +1100 Subject: [PATCH 07/17] community: Fix a validation error for MoonshotChat (#27801) - **Description:** Change `MoonshotCommon.client` type from `_MoonshotClient` to `Any`. - **Issue:** Fix the issue #27058 - **Dependencies:** No - **Twitter handle:** TaoWang2218 In PR #17100, the implementation for Moonshot was added, which defined two classes: - `MoonshotChat(MoonshotCommon, ChatOpenAI)` in `langchain_community.chat_models.moonshot`; - Here, `validate_environment()` assigns **client** as `openai.OpenAI().chat.completions` - Note that **client** here is actually a member variable defined in `ChatOpenAI`; - `MoonshotCommon` in `langchain_community.llms.moonshot`; - And here, `validate_environment()` assigns **_client** as `_MoonshotClient`; - Note that this is the underscored **_client**, which is defined within `MoonshotCommon` itself; At this time, there was no conflict between the two, one being `client` and the other `_client`. However, in PR #25878 which fixed #24390, `_client` in `MoonshotCommon` was changed to `client`. Since then, a conflict in the definition of `client` has arisen between `MoonshotCommon` and `MoonshotChat`, which caused `pydantic` validation error. To fix this issue, the type of `client` in `MoonshotCommon` should be changed to `Any`. Signed-off-by: Tao Wang --- libs/community/langchain_community/llms/moonshot.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/community/langchain_community/llms/moonshot.py b/libs/community/langchain_community/llms/moonshot.py index 473f35fdf06..7f204fa69d8 100644 --- a/libs/community/langchain_community/llms/moonshot.py +++ b/libs/community/langchain_community/llms/moonshot.py @@ -39,7 +39,7 @@ class _MoonshotClient(BaseModel): class MoonshotCommon(BaseModel): """Common parameters for Moonshot LLMs.""" - client: _MoonshotClient + client: Any base_url: str = MOONSHOT_SERVICE_URL_BASE moonshot_api_key: Optional[SecretStr] = Field(default=None, alias="api_key") """Moonshot API key. Get it here: https://platform.moonshot.cn/console/api-keys""" From 621f78babd03fb2c362c417c27eff9e84a8a1230 Mon Sep 17 00:00:00 2001 From: Wang Date: Fri, 1 Nov 2024 02:07:17 +0800 Subject: [PATCH 08/17] community: [fix] add missing tool_calls kwargs of delta message in openai adapter (#27492) - **Description:** add missing tool_calls kwargs of delta message in openai adapter, then tool call will work correctly via adapter's stream chat completion - **Issue:** Fixes https://github.com/langchain-ai/langchain/issues/25436 - **Dependencies:** None --- libs/community/langchain_community/adapters/openai.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/libs/community/langchain_community/adapters/openai.py b/libs/community/langchain_community/adapters/openai.py index 8db939d5c97..673e5fa567b 100644 --- a/libs/community/langchain_community/adapters/openai.py +++ b/libs/community/langchain_community/adapters/openai.py @@ -180,6 +180,12 @@ def _convert_message_chunk(chunk: BaseMessageChunk, i: int) -> dict: # not missing, but None. if i == 0: _dict["content"] = None + if "tool_calls" in chunk.additional_kwargs: + _dict["tool_calls"] = chunk.additional_kwargs["tool_calls"] + # If the first chunk is tool calls, the content is not empty string, + # not missing, but None. + if i == 0: + _dict["content"] = None else: _dict["content"] = chunk.content else: From f94125a325309e867421a66e4a649bedc47d4e1c Mon Sep 17 00:00:00 2001 From: "W. Gustavo Cevallos" Date: Thu, 31 Oct 2024 13:14:06 -0500 Subject: [PATCH 09/17] community: Update Polygon.io API (#27552) **Description:** Update the wrapper to support the Polygon API if not you get an error. I keeped `STOCKBUSINESS` for retro-compatbility with older endpoints / other uses Old Code: ``` if status not in ("OK", "STOCKBUSINESS"): raise ValueError(f"API Error: {data}") ``` API Respond: ``` API Error: {'results': {'P': 0.22, 'S': 0, 'T': 'ZOM', 'X': 5, 'p': 0.123, 'q': 0, 's': 200, 't': 1729614422813395456, 'x': 1, 'z': 1}, 'status': 'STOCKSBUSINESS', 'request_id': 'XXXXXX'} ``` - **Issue:** N/A Polygon API update - **Dependencies:** N/A - **Twitter handle:** @wgcv --------- Co-authored-by: ccurme --- libs/community/langchain_community/utilities/polygon.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/libs/community/langchain_community/utilities/polygon.py b/libs/community/langchain_community/utilities/polygon.py index c7ab49f4054..f14069bd4fa 100644 --- a/libs/community/langchain_community/utilities/polygon.py +++ b/libs/community/langchain_community/utilities/polygon.py @@ -45,7 +45,7 @@ class PolygonAPIWrapper(BaseModel): data = response.json() status = data.get("status", None) - if status not in ("OK", "STOCKBUSINESS"): + if status not in ("OK", "STOCKBUSINESS", "STOCKSBUSINESS"): raise ValueError(f"API Error: {data}") return data.get("results", None) @@ -61,7 +61,7 @@ class PolygonAPIWrapper(BaseModel): data = response.json() status = data.get("status", None) - if status not in ("OK", "STOCKBUSINESS"): + if status not in ("OK", "STOCKBUSINESS", "STOCKSBUSINESS"): raise ValueError(f"API Error: {data}") return data.get("results", None) @@ -82,7 +82,7 @@ class PolygonAPIWrapper(BaseModel): data = response.json() status = data.get("status", None) - if status not in ("OK", "STOCKBUSINESS"): + if status not in ("OK", "STOCKBUSINESS", "STOCKSBUSINESS"): raise ValueError(f"API Error: {data}") return data.get("results", None) @@ -116,7 +116,7 @@ class PolygonAPIWrapper(BaseModel): data = response.json() status = data.get("status", None) - if status not in ("OK", "STOCKBUSINESS"): + if status not in ("OK", "STOCKBUSINESS", "STOCKSBUSINESS"): raise ValueError(f"API Error: {data}") return data.get("results", None) From 54cb80c7780f67fa3f8340b899eea7c4f28cdfe0 Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Thu, 31 Oct 2024 11:21:48 -0700 Subject: [PATCH 10/17] docs: experimental case, use yq action (#27798) --- .github/scripts/prep_api_docs_build.py | 16 +++++++++++----- .github/workflows/api_doc_build.yml | 16 +++++++++------- docs/api_reference/create_api_rst.py | 10 ++++++---- 3 files changed, 26 insertions(+), 16 deletions(-) diff --git a/.github/scripts/prep_api_docs_build.py b/.github/scripts/prep_api_docs_build.py index b48a6343f6f..2c2655e2155 100644 --- a/.github/scripts/prep_api_docs_build.py +++ b/.github/scripts/prep_api_docs_build.py @@ -14,13 +14,20 @@ def load_packages_yaml() -> Dict[str, Any]: return yaml.safe_load(f) +def get_target_dir(package_name: str) -> Path: + """Get the target directory for a given package.""" + package_name_short = package_name.replace("langchain-", "") + base_path = Path("langchain/libs") + if package_name_short == "experimental": + return base_path / "experimental" + return base_path / "partners" / package_name_short + + def clean_target_directories(packages: Dict[str, Any]) -> None: """Remove old directories that will be replaced.""" - base_path = Path("langchain/libs/partners") for package in packages["packages"]: if package["repo"] != "langchain-ai/langchain": - package_name = package["name"].replace("langchain-", "") - target_dir = base_path / package_name + target_dir = get_target_dir(package["name"]) if target_dir.exists(): print(f"Removing {target_dir}") shutil.rmtree(target_dir) @@ -36,9 +43,8 @@ def move_libraries(packages: Dict[str, Any]) -> None: continue repo_name = package["repo"].split("/")[1] - package_name = package["name"].replace("langchain-", "") source_path = package["path"] - target_dir = f"langchain/libs/partners/{package_name}" + target_dir = get_target_dir(package["name"]) # Handle root path case if source_path == ".": diff --git a/.github/workflows/api_doc_build.yml b/.github/workflows/api_doc_build.yml index 0825400669d..fd8e09848ce 100644 --- a/.github/workflows/api_doc_build.yml +++ b/.github/workflows/api_doc_build.yml @@ -23,15 +23,19 @@ jobs: path: langchain-api-docs-html token: ${{ secrets.TOKEN_GITHUB_API_DOCS_HTML }} - - name: Install yq - run: | - sudo wget -qO /usr/local/bin/yq https://github.com/mikefarah/yq/releases/latest/download/yq_linux_amd64 - sudo chmod a+x /usr/local/bin/yq + - name: Get repos with yq + id: get-unsorted-repos + uses: mikefarah/yq@master + with: + cmd: yq '.packages[].repo' langchain/libs/packages.yml - name: Parse YAML and checkout repos + env: + REPOS_UNSORTED: ${{ steps.get-unsorted-repos.outputs.result }} + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} run: | # Get unique repositories - REPOS=$(yq '.packages[].repo' langchain/libs/packages.yml | sort -u) + REPOS=$(echo "$REPOS_UNSORTED" | sort -u) # Checkout each unique repository for repo in $REPOS; do @@ -41,8 +45,6 @@ jobs: git clone --depth 1 https://github.com/$repo.git $REPO_NAME fi done - env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - name: Set up Python ${{ env.PYTHON_VERSION }} + Poetry ${{ env.POETRY_VERSION }} uses: "./langchain/.github/actions/poetry_setup" diff --git a/docs/api_reference/create_api_rst.py b/docs/api_reference/create_api_rst.py index d907eec4c36..b5807e0bd13 100644 --- a/docs/api_reference/create_api_rst.py +++ b/docs/api_reference/create_api_rst.py @@ -601,9 +601,11 @@ For the legacy API reference hosted on ReadTheDocs see [https://api.python.langc ] for header_name, dir_ in sorted( zip(integration_headers, integrations), - key=lambda h_d: integrations_to_show.index(h_d[1]) - if h_d[1] in integrations_to_show - else len(integrations_to_show), + key=lambda h_d: ( + integrations_to_show.index(h_d[1]) + if h_d[1] in integrations_to_show + else len(integrations_to_show) + ), )[: len(integrations_to_show)]: integration_grid += f'\n- header: "**{header_name}**"\n content: {_package_namespace(dir_).replace("_", "-")} {_get_package_version(_package_dir(dir_))}\n link: {dir_.replace("-", "_")}/index.html' doc += f"""## Integrations @@ -648,7 +650,7 @@ def main(dirs: Optional[list] = None) -> None: dirs = [ dir_ for dir_ in os.listdir(ROOT_DIR / "libs") - if dir_ not in ("cli", "partners", "standard-tests") + if dir_ not in ("cli", "partners", "standard-tests", "packages.yml") ] dirs += [ dir_ From 06420de2e770156995a14b0aef9ea8a4e1604f39 Mon Sep 17 00:00:00 2001 From: Bagatur <22008038+baskaryan@users.noreply.github.com> Date: Thu, 31 Oct 2024 11:27:05 -0700 Subject: [PATCH 11/17] integrations[patch]: bump core to 0.3.15 (#27805) --- .../langchain_anthropic/chat_models.py | 8 +- libs/partners/anthropic/poetry.lock | 6 +- libs/partners/anthropic/pyproject.toml | 4 +- libs/partners/fireworks/poetry.lock | 6 +- libs/partners/fireworks/pyproject.toml | 4 +- libs/partners/groq/poetry.lock | 708 +++++++------ libs/partners/groq/pyproject.toml | 4 +- libs/partners/huggingface/poetry.lock | 325 +++--- libs/partners/huggingface/pyproject.toml | 4 +- libs/partners/mistralai/poetry.lock | 954 +++++++++--------- libs/partners/mistralai/pyproject.toml | 4 +- libs/partners/ollama/poetry.lock | 710 +++++++------ libs/partners/ollama/pyproject.toml | 4 +- libs/partners/openai/poetry.lock | 4 +- libs/partners/openai/pyproject.toml | 4 +- 15 files changed, 1453 insertions(+), 1296 deletions(-) diff --git a/libs/partners/anthropic/langchain_anthropic/chat_models.py b/libs/partners/anthropic/langchain_anthropic/chat_models.py index c408cdc23d0..5a6ca4cc6b9 100644 --- a/libs/partners/anthropic/langchain_anthropic/chat_models.py +++ b/libs/partners/anthropic/langchain_anthropic/chat_models.py @@ -143,10 +143,12 @@ def _merge_messages( all(isinstance(m, c) for m in (curr, last)) for c in (SystemMessage, HumanMessage) ): - if isinstance(last.content, str): - new_content: List = [{"type": "text", "text": last.content}] + if isinstance(cast(BaseMessage, last).content, str): + new_content: List = [ + {"type": "text", "text": cast(BaseMessage, last).content} + ] else: - new_content = copy.copy(last.content) + new_content = copy.copy(cast(list, cast(BaseMessage, last).content)) if isinstance(curr.content, str): new_content.append({"type": "text", "text": curr.content}) else: diff --git a/libs/partners/anthropic/poetry.lock b/libs/partners/anthropic/poetry.lock index 5e783dda5a4..23fccaa9d31 100644 --- a/libs/partners/anthropic/poetry.lock +++ b/libs/partners/anthropic/poetry.lock @@ -514,7 +514,7 @@ files = [ [[package]] name = "langchain-core" -version = "0.3.9" +version = "0.3.15" description = "Building applications with LLMs through composability" optional = false python-versions = ">=3.9,<4.0" @@ -530,7 +530,7 @@ pydantic = [ {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""}, ] PyYAML = ">=5.3" -tenacity = "^8.1.0,!=8.4.0" +tenacity = ">=8.1.0,!=8.4.0,<10.0.0" typing-extensions = ">=4.7" [package.source] @@ -1333,4 +1333,4 @@ watchmedo = ["PyYAML (>=3.10)"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "ff45241f112ccfe1ca845dfc9685f7b63d7cb0a362acffbb17d81ff4691af9d4" +content-hash = "f1cd6241802e9ee68050d69ed38775fa26182185984cc18b30f51595dba56330" diff --git a/libs/partners/anthropic/pyproject.toml b/libs/partners/anthropic/pyproject.toml index 83e32dbb030..55c5b90e1b4 100644 --- a/libs/partners/anthropic/pyproject.toml +++ b/libs/partners/anthropic/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "langchain-anthropic" -version = "0.2.3" +version = "0.2.4" description = "An integration package connecting AnthropicMessages and LangChain" authors = [] readme = "README.md" @@ -21,7 +21,7 @@ disallow_untyped_defs = "True" [tool.poetry.dependencies] python = ">=3.9,<4.0" anthropic = ">=0.30.0,<1" -langchain-core = "^0.3.9" +langchain-core = "^0.3.15" pydantic = "^2.7.4" [tool.ruff.lint] diff --git a/libs/partners/fireworks/poetry.lock b/libs/partners/fireworks/poetry.lock index 5f424993371..33b0cdf669c 100644 --- a/libs/partners/fireworks/poetry.lock +++ b/libs/partners/fireworks/poetry.lock @@ -670,7 +670,7 @@ files = [ [[package]] name = "langchain-core" -version = "0.3.9" +version = "0.3.15" description = "Building applications with LLMs through composability" optional = false python-versions = ">=3.9,<4.0" @@ -686,7 +686,7 @@ pydantic = [ {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""}, ] PyYAML = ">=5.3" -tenacity = "^8.1.0,!=8.4.0" +tenacity = ">=8.1.0,!=8.4.0,<10.0.0" typing-extensions = ">=4.7" [package.source] @@ -1716,4 +1716,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "56f279717e189244fb82561676aac12e1be0d39400d261a1587302335563a091" +content-hash = "9664344ff6792f26b7b2067fd85cfe111d31cf6ba40842297f0c8b36431a9028" diff --git a/libs/partners/fireworks/pyproject.toml b/libs/partners/fireworks/pyproject.toml index e8889cc2a21..e51c921fbbf 100644 --- a/libs/partners/fireworks/pyproject.toml +++ b/libs/partners/fireworks/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "langchain-fireworks" -version = "0.2.1" +version = "0.2.5" description = "An integration package connecting Fireworks and LangChain" authors = [] readme = "README.md" @@ -20,7 +20,7 @@ disallow_untyped_defs = "True" [tool.poetry.dependencies] python = ">=3.9,<4.0" -langchain-core = "^0.3.9" +langchain-core = "^0.3.15" fireworks-ai = ">=0.13.0" openai = "^1.10.0" requests = "^2" diff --git a/libs/partners/groq/poetry.lock b/libs/partners/groq/poetry.lock index 0e1d1a8ca4d..0cb0849215e 100644 --- a/libs/partners/groq/poetry.lock +++ b/libs/partners/groq/poetry.lock @@ -13,13 +13,13 @@ files = [ [[package]] name = "anyio" -version = "4.4.0" +version = "4.6.2.post1" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - 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[tool.poetry.dependencies] python = ">=3.9,<4.0" ollama = ">=0.3.0,<1" -langchain-core = "^0.3.0" +langchain-core = "^0.3.15" [tool.ruff.lint] select = [ diff --git a/libs/partners/openai/poetry.lock b/libs/partners/openai/poetry.lock index a4624a55c75..a1d51f1d22e 100644 --- a/libs/partners/openai/poetry.lock +++ b/libs/partners/openai/poetry.lock @@ -493,7 +493,7 @@ files = [ [[package]] name = "langchain-core" -version = "0.3.13" +version = "0.3.15" description = "Building applications with LLMs through composability" optional = false python-versions = ">=3.9,<4.0" @@ -1561,4 +1561,4 @@ watchmedo = ["PyYAML (>=3.10)"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "3362b445a24e614b105f82e09d06ca1c914004df2b017eae705c969810678b76" +content-hash = "985f183aed7188a51964c30831939cae8060d906e8b07d4257e423016b6f3dd4" diff --git a/libs/partners/openai/pyproject.toml b/libs/partners/openai/pyproject.toml index f60414d84d6..255e488375d 100644 --- a/libs/partners/openai/pyproject.toml +++ b/libs/partners/openai/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "langchain-openai" -version = "0.2.4" +version = "0.2.5" description = "An integration package connecting OpenAI and LangChain" authors = [] readme = "README.md" @@ -23,7 +23,7 @@ ignore_missing_imports = true [tool.poetry.dependencies] python = ">=3.9,<4.0" -langchain-core = "^0.3.13" +langchain-core = "^0.3.15" openai = "^1.52.0" tiktoken = ">=0.7,<1" From 389771ccc0dc719d66a969f998d3b7316f78f8a1 Mon Sep 17 00:00:00 2001 From: Daniel Birn Date: Thu, 31 Oct 2024 19:36:02 +0100 Subject: [PATCH 12/17] community: fix @embeddingKey in azure cosmos db no sql (#27377) I will keep this PR as small as the changes made. **Description:** fixes a fatal bug syntax error in AzureCosmosDBNoSqlVectorSearch **Issue:** #27269 #25468 --- .../vectorstores/azure_cosmos_db_no_sql.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/libs/community/langchain_community/vectorstores/azure_cosmos_db_no_sql.py b/libs/community/langchain_community/vectorstores/azure_cosmos_db_no_sql.py index 8a671da921c..2317af9da02 100644 --- a/libs/community/langchain_community/vectorstores/azure_cosmos_db_no_sql.py +++ b/libs/community/langchain_community/vectorstores/azure_cosmos_db_no_sql.py @@ -274,15 +274,15 @@ class AzureCosmosDBNoSqlVectorSearch(VectorStore): query += "TOP @limit " query += ( - "c.id, c.{}, c.text, c.metadata, " - "VectorDistance(c.@embeddingKey, @embeddings) AS SimilarityScore FROM c" + "c.id, c[@embeddingKey], c.text, c.metadata, " + "VectorDistance(c[@embeddingKey], @embeddings) AS SimilarityScore FROM c" ) # Add where_clause if specified if pre_filter is not None and pre_filter.get("where_clause") is not None: query += " {}".format(pre_filter["where_clause"]) - query += " ORDER BY VectorDistance(c.@embeddingKey, @embeddings)" + query += " ORDER BY VectorDistance(c[@embeddingKey], @embeddings)" # Add limit_offset_clause if specified if pre_filter is not None and pre_filter.get("limit_offset_clause") is not None: From 905f43377b92c3fe98282240e67e2458efe9e533 Mon Sep 17 00:00:00 2001 From: Ankan Mahapatra <69568975+ankan2526@users.noreply.github.com> Date: Fri, 1 Nov 2024 00:07:41 +0530 Subject: [PATCH 13/17] Update word_document.py | Fixed metadata["source"] for web paths (#27220) The metadata["source"] value for the web paths was being set to temporary path (/tmp). Fixed it by creating a new variable self.original_file_path, which will store the original path. Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --- .../langchain_community/document_loaders/word_document.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/libs/community/langchain_community/document_loaders/word_document.py b/libs/community/langchain_community/document_loaders/word_document.py index c7c50575cc7..bd2c4ae8f57 100644 --- a/libs/community/langchain_community/document_loaders/word_document.py +++ b/libs/community/langchain_community/document_loaders/word_document.py @@ -24,6 +24,7 @@ class Docx2txtLoader(BaseLoader, ABC): def __init__(self, file_path: Union[str, Path]): """Initialize with file path.""" self.file_path = str(file_path) + self.original_file_path = self.file_path if "~" in self.file_path: self.file_path = os.path.expanduser(self.file_path) @@ -55,7 +56,7 @@ class Docx2txtLoader(BaseLoader, ABC): return [ Document( page_content=docx2txt.process(self.file_path), - metadata={"source": self.file_path}, + metadata={"source": self.original_file_path}, ) ] From 2545fbe709617d40574d61a84436ab6f7f6a126d Mon Sep 17 00:00:00 2001 From: putao520 <14885090+putao520@users.noreply.github.com> Date: Fri, 1 Nov 2024 02:47:25 +0800 Subject: [PATCH 14/17] =?UTF-8?q?fix=20"WARNING:=20Received=20notification?= =?UTF-8?q?=20from=20DBMS=20server:=20{severity:=20WARN=E2=80=A6=20(#27112?= =?UTF-8?q?)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit …ING} {code: Neo.ClientNotification.Statement.FeatureDeprecationWarning} {category: DEPRECATION} {title: This feature is deprecated and will be removed in future versions.} {description: CALL subquery without a variable scope clause is now deprecated." this warning Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. Co-authored-by: putao520 --- libs/community/langchain_community/vectorstores/neo4j_vector.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/community/langchain_community/vectorstores/neo4j_vector.py b/libs/community/langchain_community/vectorstores/neo4j_vector.py index a17444c6907..7f7f3f97dd8 100644 --- a/libs/community/langchain_community/vectorstores/neo4j_vector.py +++ b/libs/community/langchain_community/vectorstores/neo4j_vector.py @@ -890,7 +890,7 @@ class Neo4jVector(VectorStore): import_query = ( "UNWIND $data AS row " - "CALL { WITH row " + "CALL (row) { WITH row " f"MERGE (c:`{self.node_label}` {{id: row.id}}) " "WITH c, row " f"CALL db.create.setNodeVectorProperty(c, " From 8ef0df3539eabf1371795c5869914ec0b1e2c27f Mon Sep 17 00:00:00 2001 From: L Date: Fri, 1 Nov 2024 02:56:22 +0800 Subject: [PATCH 15/17] feat: add batch request support for text-embedding-v3 model (#26375) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit PR title: “langchain: add batch request support for text-embedding-v3 model” PR message: • Description: This PR introduces batch request support for the text-embedding-v3 model within LangChain. The new functionality allows users to process multiple text inputs in a single request, improving efficiency and performance for high-volume applications. • Issue: This PR addresses # (if applicable). • Dependencies: No new external dependencies are required for this change. • Twitter handle: If announced on Twitter, please mention me at @yourhandle. Add tests and docs: 1. Added unit tests to cover the batch request functionality, ensuring it operates without requiring network access. 2. Included an example notebook demonstrating the batch request feature, located in docs/docs/integrations. Lint and test: All required formatting and linting checks have been performed using make format and make lint. The changes have been verified with make test to ensure compatibility. Additional notes: • The changes are fully backwards compatible. • No modifications were made to pyproject.toml, ensuring no new dependencies were added. • The update only affects the langchain package and does not involve other packages. --------- Co-authored-by: Chester Curme --- .../langchain_community/embeddings/dashscope.py | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/libs/community/langchain_community/embeddings/dashscope.py b/libs/community/langchain_community/embeddings/dashscope.py index 0963808635d..3268e5de3bd 100644 --- a/libs/community/langchain_community/embeddings/dashscope.py +++ b/libs/community/langchain_community/embeddings/dashscope.py @@ -23,6 +23,8 @@ from tenacity import ( logger = logging.getLogger(__name__) +BATCH_SIZE = {"text-embedding-v1": 25, "text-embedding-v2": 25, "text-embedding-v3": 6} + def _create_retry_decorator(embeddings: DashScopeEmbeddings) -> Callable[[Any], Any]: multiplier = 1 @@ -49,9 +51,12 @@ def embed_with_retry(embeddings: DashScopeEmbeddings, **kwargs: Any) -> Any: i = 0 input_data = kwargs["input"] input_len = len(input_data) if isinstance(input_data, list) else 1 + batch_size = BATCH_SIZE.get(kwargs["model"], 25) while i < input_len: kwargs["input"] = ( - input_data[i : i + 25] if isinstance(input_data, list) else input_data + input_data[i : i + batch_size] + if isinstance(input_data, list) + else input_data ) resp = embeddings.client.call(**kwargs) if resp.status_code == 200: @@ -67,7 +72,7 @@ def embed_with_retry(embeddings: DashScopeEmbeddings, **kwargs: Any) -> Any: f"code: {resp.code} \n message: {resp.message}", response=resp, ) - i += 25 + i += batch_size return result return _embed_with_retry(**kwargs) From c572d663f9d09f5b58c11b2525bfd83055690241 Mon Sep 17 00:00:00 2001 From: Neli Hateva Date: Thu, 31 Oct 2024 21:23:16 +0200 Subject: [PATCH 16/17] docs: Ontotext GraphDB QA Chain Update Documentation (Fix versions of libraries) (#27783) - **Description:** Update versions of libraries in the Ontotext GraphDB QA Chain Documentation - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** @OntotextGraphDB --- docs/docs/integrations/graphs/ontotext.ipynb | 24 ++++++++++++-------- 1 file changed, 14 insertions(+), 10 deletions(-) diff --git a/docs/docs/integrations/graphs/ontotext.ipynb b/docs/docs/integrations/graphs/ontotext.ipynb index 1d67d8c745c..7c28d7d2cca 100644 --- a/docs/docs/integrations/graphs/ontotext.ipynb +++ b/docs/docs/integrations/graphs/ontotext.ipynb @@ -84,16 +84,20 @@ " You need to wait a couple of seconds for the database to start on `http://localhost:7200/`. The Star Wars dataset `starwars-data.trig` is automatically loaded into the `langchain` repository. The local SPARQL endpoint `http://localhost:7200/repositories/langchain` can be used to run queries against. You can also open the GraphDB Workbench from your favourite web browser `http://localhost:7200/sparql` where you can make queries interactively.\n", "* Set up working environment\n", "\n", - "If you use `conda`, create and activate a new conda env (e.g. `conda create -n graph_ontotext_graphdb_qa python=3.9.18`).\n", + "If you use `conda`, create and activate a new conda environment, e.g.:\n", + "\n", + "```\n", + "conda create -n graph_ontotext_graphdb_qa python=3.12\n", + "conda activate graph_ontotext_graphdb_qa\n", + "```\n", "\n", "Install the following libraries:\n", "\n", "```\n", - "pip install jupyter==1.0.0\n", - "pip install openai==1.6.1\n", - "pip install rdflib==7.0.0\n", - "pip install langchain-openai==0.0.2\n", - "pip install langchain>=0.1.5\n", + "pip install jupyter==1.1.1\n", + "pip install rdflib==7.1.1\n", + "pip install langchain-community==0.3.4\n", + "pip install langchain-openai==0.2.4\n", "```\n", "\n", "Run Jupyter with\n", @@ -255,6 +259,7 @@ " ChatOpenAI(temperature=0, model_name=\"gpt-4-1106-preview\"),\n", " graph=graph,\n", " verbose=True,\n", + " allow_dangerous_requests=True,\n", ")" ] }, @@ -332,6 +337,7 @@ "\u001b[32;1m\u001b[1;3mPREFIX : \n", "PREFIX owl: \n", "PREFIX rdfs: \n", + "PREFIX xsd: \n", "\n", "SELECT ?climate\n", "WHERE {\n", @@ -383,11 +389,9 @@ "\u001b[1m> Entering new OntotextGraphDBQAChain chain...\u001b[0m\n", "Generated SPARQL:\n", "\u001b[32;1m\u001b[1;3mPREFIX : \n", - "PREFIX owl: \n", - "PREFIX rdf: \n", "PREFIX xsd: \n", "\n", - "SELECT (AVG(?boxOffice) AS ?averageBoxOffice)\n", + "SELECT (AVG(?boxOffice) AS ?averageBoxOfficeRevenue)\n", "WHERE {\n", " ?film a :Film .\n", " ?film :boxOffice ?boxOfficeValue .\n", @@ -559,7 +563,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.12.7" } }, "nbformat": 4, From 71f590de50484b47805b2bec9cc99f951cb5891c Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Thu, 31 Oct 2024 15:46:39 -0400 Subject: [PATCH 17/17] docs: fix more broken links (#27806) Fix some broken links --- docs/docs/concepts/chat_models.mdx | 4 ++-- docs/docs/concepts/runnables.mdx | 2 +- docs/docs/concepts/tools.mdx | 2 +- docs/docs/concepts/vectorstores.mdx | 2 +- docs/docs/how_to/agent_executor.ipynb | 4 ++-- docs/docs/how_to/qa_chat_history_how_to.ipynb | 2 +- docs/docs/how_to/structured_output.ipynb | 2 +- docs/docs/integrations/chat/naver.ipynb | 2 +- docs/docs/integrations/chat/writer.ipynb | 2 +- docs/docs/integrations/llms/sambastudio.ipynb | 2 +- docs/docs/introduction.mdx | 2 +- docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx | 2 +- docs/docs/tutorials/agents.ipynb | 4 ++-- docs/docs/tutorials/llm_chain.ipynb | 2 +- docs/docs/tutorials/qa_chat_history.ipynb | 2 +- docs/docs/tutorials/sql_qa.ipynb | 2 +- docs/scripts/kv_store_feat_table.py | 2 +- docs/scripts/tool_feat_table.py | 2 +- 18 files changed, 21 insertions(+), 21 deletions(-) diff --git a/docs/docs/concepts/chat_models.mdx b/docs/docs/concepts/chat_models.mdx index 1c264fcac16..966d89acd5b 100644 --- a/docs/docs/concepts/chat_models.mdx +++ b/docs/docs/concepts/chat_models.mdx @@ -152,7 +152,7 @@ A semantic cache introduces a dependency on another model on the critical path o However, there might be situations where caching chat model responses is beneficial. For example, if you have a chat model that is used to answer frequently asked questions, caching responses can help reduce the load on the model provider and improve response times. -Please see the [how to cache chat model responses](/docs/how_to/#chat-model-caching) guide for more details. +Please see the [how to cache chat model responses](/docs/how_to/chat_model_caching/) guide for more details. ## Related resources @@ -165,4 +165,4 @@ Please see the [how to cache chat model responses](/docs/how_to/#chat-model-cach * [Tool calling](/docs/concepts#tool-calling) * [Multimodality](/docs/concepts/multimodality) * [Structured outputs](/docs/concepts#structured_output) -* [Tokens](/docs/concepts/tokens) \ No newline at end of file +* [Tokens](/docs/concepts/tokens) diff --git a/docs/docs/concepts/runnables.mdx b/docs/docs/concepts/runnables.mdx index 4a383e623a3..896f38b9159 100644 --- a/docs/docs/concepts/runnables.mdx +++ b/docs/docs/concepts/runnables.mdx @@ -15,7 +15,7 @@ This guide covers the main concepts and methods of the Runnable interface, which The Runnable way defines a standard interface that allows a Runnable component to be: * [Invoked](/docs/how_to/lcel_cheatsheet/#invoke-a-runnable): A single input is transformed into an output. -* [Batched](/docs/how_to/lcel_cheatsheet/#batch-a-runnable/): Multiple inputs are efficiently transformed into outputs. +* [Batched](/docs/how_to/lcel_cheatsheet/#batch-a-runnable): Multiple inputs are efficiently transformed into outputs. * [Streamed](/docs/how_to/lcel_cheatsheet/#stream-a-runnable): Outputs are streamed as they are produced. * Inspected: Schematic information about Runnable's input, output, and configuration can be accessed. * Composed: Multiple Runnables can be composed to work together using [the LangChain Expression Language (LCEL)](/docs/concepts/lcel) to create complex pipelines. diff --git a/docs/docs/concepts/tools.mdx b/docs/docs/concepts/tools.mdx index 5c079808bd6..5b820b5f2e7 100644 --- a/docs/docs/concepts/tools.mdx +++ b/docs/docs/concepts/tools.mdx @@ -141,7 +141,7 @@ See [how to pass run time values to tools](/docs/how_to/tool_runtime/) for more You can use the `RunnableConfig` object to pass custom run time values to tools. -If you need to access the [RunnableConfig](/docs/concepts/runnables/#RunnableConfig) object from within a tool. This can be done by using the `RunnableConfig` annotation in the tool's function signature. +If you need to access the [RunnableConfig](/docs/concepts/runnables/#runnableconfig) object from within a tool. This can be done by using the `RunnableConfig` annotation in the tool's function signature. ```python from langchain_core.runnables import RunnableConfig diff --git a/docs/docs/concepts/vectorstores.mdx b/docs/docs/concepts/vectorstores.mdx index a42ccf45a41..aa5bcae7a2c 100644 --- a/docs/docs/concepts/vectorstores.mdx +++ b/docs/docs/concepts/vectorstores.mdx @@ -186,6 +186,6 @@ See this [how-to guide on hybrid search](/docs/how_to/hybrid/) for more details. | Name | When to use | Description | |-------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------| | [Hybrid search](/docs/integrations/retrievers/pinecone_hybrid_search/) | When combining keyword-based and semantic similarity. | Hybrid search combines keyword and semantic similarity, marrying the benefits of both approaches. [Paper](https://arxiv.org/abs/2210.11934). | -| [Maximal Marginal Relevance (MMR)](/docs/integrations/vectorstores/pinecone/#maximal-marginal-relevance-searches) | When needing to diversify search results. | MMR attempts to diversify the results of a search to avoid returning similar and redundant documents. | +| [Maximal Marginal Relevance (MMR)](https://python.langchain.com/api_reference/pinecone/vectorstores/langchain_pinecone.vectorstores.PineconeVectorStore.html#langchain_pinecone.vectorstores.PineconeVectorStore.max_marginal_relevance_search) | When needing to diversify search results. | MMR attempts to diversify the results of a search to avoid returning similar and redundant documents. | diff --git a/docs/docs/how_to/agent_executor.ipynb b/docs/docs/how_to/agent_executor.ipynb index 647e4c6a117..1c357632630 100644 --- a/docs/docs/how_to/agent_executor.ipynb +++ b/docs/docs/how_to/agent_executor.ipynb @@ -18,7 +18,7 @@ "# Build an Agent with AgentExecutor (Legacy)\n", "\n", ":::important\n", - "This section will cover building with the legacy LangChain AgentExecutor. These are fine for getting started, but past a certain point, you will likely want flexibility and control that they do not offer. For working with more advanced agents, we'd recommend checking out [LangGraph Agents](/docs/concepts/#langgraph) or the [migration guide](/docs/how_to/migrate_agent/)\n", + "This section will cover building with the legacy LangChain AgentExecutor. These are fine for getting started, but past a certain point, you will likely want flexibility and control that they do not offer. For working with more advanced agents, we'd recommend checking out [LangGraph Agents](/docs/concepts/architecture/#langgraph) or the [migration guide](/docs/how_to/migrate_agent/)\n", ":::\n", "\n", "By themselves, language models can't take actions - they just output text.\n", @@ -802,7 +802,7 @@ "That's a wrap! In this quick start we covered how to create a simple agent. Agents are a complex topic, and there's lot to learn! \n", "\n", ":::important\n", - "This section covered building with LangChain Agents. LangChain Agents are fine for getting started, but past a certain point you will likely want flexibility and control that they do not offer. For working with more advanced agents, we'd reccommend checking out [LangGraph](/docs/concepts/#langgraph)\n", + "This section covered building with LangChain Agents. LangChain Agents are fine for getting started, but past a certain point you will likely want flexibility and control that they do not offer. For working with more advanced agents, we'd reccommend checking out [LangGraph](/docs/concepts/architecture/#langgraph)\n", ":::\n", "\n", "If you want to continue using LangChain agents, some good advanced guides are:\n", diff --git a/docs/docs/how_to/qa_chat_history_how_to.ipynb b/docs/docs/how_to/qa_chat_history_how_to.ipynb index bf0dfb4a84d..d9c1aadb4cd 100644 --- a/docs/docs/how_to/qa_chat_history_how_to.ipynb +++ b/docs/docs/how_to/qa_chat_history_how_to.ipynb @@ -686,7 +686,7 @@ "source": [ "### Agent constructor\n", "\n", - "Now that we have defined the tools and the LLM, we can create the agent. We will be using [LangGraph](/docs/concepts/#langgraph) to construct the agent. \n", + "Now that we have defined the tools and the LLM, we can create the agent. We will be using [LangGraph](/docs/concepts/architecture/#langgraph) to construct the agent. \n", "Currently we are using a high level interface to construct the agent, but the nice thing about LangGraph is that this high-level interface is backed by a low-level, highly controllable API in case you want to modify the agent logic." ] }, diff --git a/docs/docs/how_to/structured_output.ipynb b/docs/docs/how_to/structured_output.ipynb index 3e333e340b1..e1d6f2b68e8 100644 --- a/docs/docs/how_to/structured_output.ipynb +++ b/docs/docs/how_to/structured_output.ipynb @@ -556,7 +556,7 @@ "id": "498d893b-ceaa-47ff-a9d8-4faa60702715", "metadata": {}, "source": [ - "For more on few shot prompting when using tool calling, see [here](/docs/how_to/function_calling/#Few-shot-prompting)." + "For more on few shot prompting when using tool calling, see [here](/docs/how_to/tools_few_shot/)." ] }, { diff --git a/docs/docs/integrations/chat/naver.ipynb b/docs/docs/integrations/chat/naver.ipynb index 64924cb5637..651eab58721 100644 --- a/docs/docs/integrations/chat/naver.ipynb +++ b/docs/docs/integrations/chat/naver.ipynb @@ -17,7 +17,7 @@ "source": [ "# ChatClovaX\n", "\n", - "This notebook provides a quick overview for getting started with Naver’s HyperCLOVA X [chat models](https://python.langchain.com/docs/concepts/#chat-models) via CLOVA Studio. For detailed documentation of all ChatClovaX features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/chat_models/langchain_community.chat_models.naver.ChatClovaX.html).\n", + "This notebook provides a quick overview for getting started with Naver’s HyperCLOVA X [chat models](https://python.langchain.com/docs/concepts/chat_models) via CLOVA Studio. For detailed documentation of all ChatClovaX features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/chat_models/langchain_community.chat_models.naver.ChatClovaX.html).\n", "\n", "[CLOVA Studio](http://clovastudio.ncloud.com/) has several chat models. You can find information about latest models and their costs, context windows, and supported input types in the CLOVA Studio API Guide [documentation](https://api.ncloud-docs.com/docs/clovastudio-chatcompletions).\n", "\n", diff --git a/docs/docs/integrations/chat/writer.ipynb b/docs/docs/integrations/chat/writer.ipynb index 455f8820ca9..a76752ef2f6 100644 --- a/docs/docs/integrations/chat/writer.ipynb +++ b/docs/docs/integrations/chat/writer.ipynb @@ -17,7 +17,7 @@ "source": [ "# ChatWriter\n", "\n", - "This notebook provides a quick overview for getting started with Writer [chat models](/docs/concepts/#chat-models).\n", + "This notebook provides a quick overview for getting started with Writer [chat models](/docs/concepts/chat_models).\n", "\n", "Writer has several chat models. You can find information about their latest models and their costs, context windows, and supported input types in the [Writer docs](https://dev.writer.com/home/models).\n", "\n", diff --git a/docs/docs/integrations/llms/sambastudio.ipynb b/docs/docs/integrations/llms/sambastudio.ipynb index dd977f37c95..a173842df8e 100644 --- a/docs/docs/integrations/llms/sambastudio.ipynb +++ b/docs/docs/integrations/llms/sambastudio.ipynb @@ -9,7 +9,7 @@ "**[SambaNova](https://sambanova.ai/)'s** [Sambastudio](https://sambanova.ai/technology/full-stack-ai-platform) is a platform that allows you to train, run batch inference jobs, and deploy online inference endpoints to run open source models that you fine tuned yourself.\n", "\n", ":::caution\n", - "You are currently on a page documenting the use of SambaStudio models as [text completion models](/docs/concepts/#llms). We recommend you to use the [chat completion models](/docs/concepts/#chat-models).\n", + "You are currently on a page documenting the use of SambaStudio models as [text completion models](/docs/concepts/text_llms). We recommend you to use the [chat completion models](/docs/concepts/chat_models).\n", "\n", "You may be looking for [SambaStudio Chat Models](/docs/integrations/chat/sambastudio/) .\n", ":::\n", diff --git a/docs/docs/introduction.mdx b/docs/docs/introduction.mdx index 7f5afbee628..c9422417a84 100644 --- a/docs/docs/introduction.mdx +++ b/docs/docs/introduction.mdx @@ -9,7 +9,7 @@ sidebar_class_name: hidden LangChain simplifies every stage of the LLM application lifecycle: - **Development**: Build your applications using LangChain's open-source [building blocks](/docs/concepts#langchain-expression-language-lcel), [components](/docs/concepts), and [third-party integrations](/docs/integrations/providers/). -Use [LangGraph](/docs/concepts/#langgraph) to build stateful agents with first-class streaming and human-in-the-loop support. +Use [LangGraph](/docs/concepts/architecture/#langgraph) to build stateful agents with first-class streaming and human-in-the-loop support. - **Productionization**: Use [LangSmith](https://docs.smith.langchain.com/) to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence. - **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/). diff --git a/docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx b/docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx index 74647e4b06b..5a25f24b094 100644 --- a/docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx +++ b/docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx @@ -8,7 +8,7 @@ The following may help resolve this error: - Double-check your prompt template to ensure that it is correct. - If you are using the default f-string format and you are using curly braces `{` anywhere in your template, they should be double escaped like this: `{{` (and if you want to render a double curly brace, you should use four curly braces: `{{{{`). -- If you are using a [`MessagesPlaceholder`](/docs/concepts/messages/#messagesplaceholder), make sure that you are passing in an array of messages or message-like objects. +- If you are using a [`MessagesPlaceholder`](/docs/concepts/prompt_templates/#messagesplaceholder), make sure that you are passing in an array of messages or message-like objects. - If you are using shorthand tuples to declare your prompt template, make sure that the variable name is wrapped in curly braces (`["placeholder", "{messages}"]`). - Try viewing the inputs into your prompt template using [LangSmith](https://docs.smith.langchain.com/) or log statements to confirm they appear as expected. - If you are pulling a prompt from the [LangChain Prompt Hub](https://smith.langchain.com/prompts), try pulling and logging it or running it in isolation with a sample input to confirm that it is what you expect. diff --git a/docs/docs/tutorials/agents.ipynb b/docs/docs/tutorials/agents.ipynb index 22d9a37bd91..2f1671e7c79 100644 --- a/docs/docs/tutorials/agents.ipynb +++ b/docs/docs/tutorials/agents.ipynb @@ -370,7 +370,7 @@ "source": [ "## Create the agent\n", "\n", - "Now that we have defined the tools and the LLM, we can create the agent. We will be using [LangGraph](/docs/concepts/#langgraph) to construct the agent. \n", + "Now that we have defined the tools and the LLM, we can create the agent. We will be using [LangGraph](/docs/concepts/architecture/#langgraph) to construct the agent. \n", "Currently, we are using a high level interface to construct the agent, but the nice thing about LangGraph is that this high-level interface is backed by a low-level, highly controllable API in case you want to modify the agent logic.\n" ] }, @@ -719,7 +719,7 @@ "We've also added in memory so you can have a conversation with them.\n", "Agents are a complex topic with lots to learn! \n", "\n", - "For more information on Agents, please check out the [LangGraph](/docs/concepts/#langgraph) documentation. This has it's own set of concepts, tutorials, and how-to guides." + "For more information on Agents, please check out the [LangGraph](/docs/concepts/architecture/#langgraph) documentation. This has it's own set of concepts, tutorials, and how-to guides." ] }, { diff --git a/docs/docs/tutorials/llm_chain.ipynb b/docs/docs/tutorials/llm_chain.ipynb index 0a04d91876f..fea5ec33967 100644 --- a/docs/docs/tutorials/llm_chain.ipynb +++ b/docs/docs/tutorials/llm_chain.ipynb @@ -29,7 +29,7 @@ "\n", "- Debugging and tracing your application using [LangSmith](https://docs.smith.langchain.com/)\n", "\n", - "- Deploying your application with [LangServe](/docs/concepts/#langserve)\n", + "- Deploying your application with [LangServe](/docs/concepts/architecture/#langserve)\n", "\n", "Let's dive in!\n", "\n", diff --git a/docs/docs/tutorials/qa_chat_history.ipynb b/docs/docs/tutorials/qa_chat_history.ipynb index 8aff4c3a014..2752e9d5cfa 100644 --- a/docs/docs/tutorials/qa_chat_history.ipynb +++ b/docs/docs/tutorials/qa_chat_history.ipynb @@ -817,7 +817,7 @@ "source": [ "### Agent constructor\n", "\n", - "Now that we have defined the tools and the LLM, we can create the agent. We will be using [LangGraph](/docs/concepts/#langgraph) to construct the agent. \n", + "Now that we have defined the tools and the LLM, we can create the agent. We will be using [LangGraph](/docs/concepts/architecture/#langgraph) to construct the agent. \n", "Currently we are using a high level interface to construct the agent, but the nice thing about LangGraph is that this high-level interface is backed by a low-level, highly controllable API in case you want to modify the agent logic." ] }, diff --git a/docs/docs/tutorials/sql_qa.ipynb b/docs/docs/tutorials/sql_qa.ipynb index 18a8063f866..5c8042ae4a0 100644 --- a/docs/docs/tutorials/sql_qa.ipynb +++ b/docs/docs/tutorials/sql_qa.ipynb @@ -494,7 +494,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We will use a prebuilt [LangGraph](/docs/concepts/#langgraph) agent to build our agent" + "We will use a prebuilt [LangGraph](/docs/concepts/architecture/#langgraph) agent to build our agent" ] }, { diff --git a/docs/scripts/kv_store_feat_table.py b/docs/scripts/kv_store_feat_table.py index dd7fc1ca203..6730ec650d0 100644 --- a/docs/scripts/kv_store_feat_table.py +++ b/docs/scripts/kv_store_feat_table.py @@ -14,7 +14,7 @@ hide_table_of_contents: true # Key-value stores -[Key-value stores](/docs/concepts/#key-value-stores) are used by other LangChain components to store and retrieve data. +[Key-value stores](/docs/concepts/key_value_stores) are used by other LangChain components to store and retrieve data. :::info diff --git a/docs/scripts/tool_feat_table.py b/docs/scripts/tool_feat_table.py index 981fe2f7065..3bc00ce6af2 100644 --- a/docs/scripts/tool_feat_table.py +++ b/docs/scripts/tool_feat_table.py @@ -182,7 +182,7 @@ custom_edit_url: # Tools -[Tools](/docs/concepts/#tools) are utilities designed to be called by a model: their inputs are designed to be generated by models, and their outputs are designed to be passed back to models. +[Tools](/docs/concepts/tools) are utilities designed to be called by a model: their inputs are designed to be generated by models, and their outputs are designed to be passed back to models. A [toolkit](/docs/concepts#toolkits) is a collection of tools meant to be used together.