mirror of
https://github.com/hwchase17/langchain
synced 2024-11-02 09:40:22 +00:00
mistralai[patch]: 16k token batching logic embed (#17136)
This commit is contained in:
Erick Friis
GitHub
parent
863f96b2e0
commit
f881a3330c
@ -1,5 +1,6 @@
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import asyncio
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import logging
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from typing import Dict, List, Optional
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from typing import Dict, Iterable, List, Optional
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from langchain_core.embeddings import Embeddings
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from langchain_core.pydantic_v1 import (
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@ -16,9 +17,12 @@ from mistralai.constants import (
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ENDPOINT as DEFAULT_MISTRAL_ENDPOINT,
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)
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from mistralai.exceptions import MistralException
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from tokenizers import Tokenizer # type: ignore
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logger = logging.getLogger(__name__)
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MAX_TOKENS = 16_000
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class MistralAIEmbeddings(BaseModel, Embeddings):
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"""MistralAI embedding models.
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@ -43,6 +47,7 @@ class MistralAIEmbeddings(BaseModel, Embeddings):
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max_retries: int = 5
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timeout: int = 120
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max_concurrent_requests: int = 64
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tokenizer: Tokenizer = Field(default=None)
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model: str = "mistral-embed"
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@ -72,8 +77,33 @@ class MistralAIEmbeddings(BaseModel, Embeddings):
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timeout=values["timeout"],
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max_concurrent_requests=values["max_concurrent_requests"],
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)
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if values["tokenizer"] is None:
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values["tokenizer"] = Tokenizer.from_pretrained(
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"mistralai/Mixtral-8x7B-v0.1"
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)
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return values
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def _get_batches(self, texts: List[str]) -> Iterable[List[str]]:
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"""Split a list of texts into batches of less than 16k tokens
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for Mistral API."""
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batch: List[str] = []
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batch_tokens = 0
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text_token_lengths = [
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len(encoded) for encoded in self.tokenizer.encode_batch(texts)
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]
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for text, text_tokens in zip(texts, text_token_lengths):
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if batch_tokens + text_tokens > MAX_TOKENS:
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yield batch
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batch = [text]
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batch_tokens = text_tokens
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else:
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batch.append(text)
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batch_tokens += text_tokens
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if batch:
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yield batch
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def embed_documents(self, texts: List[str]) -> List[List[float]]:
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"""Embed a list of document texts.
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@ -84,13 +114,17 @@ class MistralAIEmbeddings(BaseModel, Embeddings):
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List of embeddings, one for each text.
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"""
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try:
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embeddings_batch_response = self.client.embeddings(
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model=self.model,
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input=texts,
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batch_responses = (
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self.client.embeddings(
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model=self.model,
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input=batch,
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)
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for batch in self._get_batches(texts)
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)
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return [
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list(map(float, embedding_obj.embedding))
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for embedding_obj in embeddings_batch_response.data
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for response in batch_responses
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for embedding_obj in response.data
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]
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except MistralException as e:
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logger.error(f"An error occurred with MistralAI: {e}")
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@ -106,13 +140,19 @@ class MistralAIEmbeddings(BaseModel, Embeddings):
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List of embeddings, one for each text.
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"""
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try:
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embeddings_batch_response = await self.async_client.embeddings(
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model=self.model,
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input=texts,
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batch_responses = await asyncio.gather(
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*[
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self.async_client.embeddings(
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model=self.model,
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input=batch,
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)
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for batch in self._get_batches(texts)
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]
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)
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return [
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list(map(float, embedding_obj.embedding))
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for embedding_obj in embeddings_batch_response.data
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for response in batch_responses
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for embedding_obj in response.data
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]
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except MistralException as e:
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logger.error(f"An error occurred with MistralAI: {e}")
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621
libs/partners/mistralai/poetry.lock
generated
621
libs/partners/mistralai/poetry.lock
generated
@ -16,19 +16,20 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
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[[package]]
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name = "anyio"
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version = "4.1.0"
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version = "4.2.0"
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description = "High level compatibility layer for multiple asynchronous event loop implementations"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "anyio-4.1.0-py3-none-any.whl", hash = "sha256:56a415fbc462291813a94528a779597226619c8e78af7de0507333f700011e5f"},
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{file = "anyio-4.1.0.tar.gz", hash = "sha256:5a0bec7085176715be77df87fc66d6c9d70626bd752fcc85f57cdbee5b3760da"},
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{file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
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{file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
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]
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[package.dependencies]
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exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
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idna = ">=2.8"
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sniffio = ">=1.1"
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typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
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[package.extras]
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doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
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@ -37,13 +38,13 @@ trio = ["trio (>=0.23)"]
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[[package]]
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name = "certifi"
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version = "2023.11.17"
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version = "2024.2.2"
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description = "Python package for providing Mozilla's CA Bundle."
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optional = false
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python-versions = ">=3.6"
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files = [
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{file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
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{file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
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{file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
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{file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
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]
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[[package]]
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@ -187,6 +188,57 @@ files = [
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[package.extras]
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test = ["pytest (>=6)"]
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[[package]]
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name = "filelock"
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version = "3.13.1"
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description = "A platform independent file lock."
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
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{file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
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]
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[package.extras]
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docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
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testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
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typing = ["typing-extensions (>=4.8)"]
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[[package]]
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name = "fsspec"
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version = "2024.2.0"
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description = "File-system specification"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "fsspec-2024.2.0-py3-none-any.whl", hash = "sha256:817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8"},
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{file = "fsspec-2024.2.0.tar.gz", hash = "sha256:b6ad1a679f760dda52b1168c859d01b7b80648ea6f7f7c7f5a8a91dc3f3ecb84"},
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]
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[package.extras]
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abfs = ["adlfs"]
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adl = ["adlfs"]
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arrow = ["pyarrow (>=1)"]
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dask = ["dask", "distributed"]
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devel = ["pytest", "pytest-cov"]
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dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
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fuse = ["fusepy"]
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gcs = ["gcsfs"]
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git = ["pygit2"]
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github = ["requests"]
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gs = ["gcsfs"]
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gui = ["panel"]
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hdfs = ["pyarrow (>=1)"]
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http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
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libarchive = ["libarchive-c"]
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oci = ["ocifs"]
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s3 = ["s3fs"]
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sftp = ["paramiko"]
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smb = ["smbprotocol"]
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ssh = ["paramiko"]
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tqdm = ["tqdm"]
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[[package]]
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name = "h11"
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version = "0.14.0"
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@ -243,6 +295,38 @@ cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
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http2 = ["h2 (>=3,<5)"]
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socks = ["socksio (==1.*)"]
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[[package]]
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name = "huggingface-hub"
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version = "0.20.3"
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description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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optional = false
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python-versions = ">=3.8.0"
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files = [
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{file = "huggingface_hub-0.20.3-py3-none-any.whl", hash = "sha256:d988ae4f00d3e307b0c80c6a05ca6dbb7edba8bba3079f74cda7d9c2e562a7b6"},
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{file = "huggingface_hub-0.20.3.tar.gz", hash = "sha256:94e7f8e074475fbc67d6a71957b678e1b4a74ff1b64a644fd6cbb83da962d05d"},
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]
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[package.dependencies]
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filelock = "*"
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fsspec = ">=2023.5.0"
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packaging = ">=20.9"
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pyyaml = ">=5.1"
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requests = "*"
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tqdm = ">=4.42.1"
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typing-extensions = ">=3.7.4.3"
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[package.extras]
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all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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cli = ["InquirerPy (==0.3.4)"]
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dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
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inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
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quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
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tensorflow = ["graphviz", "pydot", "tensorflow"]
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testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
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torch = ["torch"]
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typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
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[[package]]
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name = "idna"
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version = "3.6"
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@ -292,7 +376,7 @@ files = [
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[[package]]
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name = "langchain-core"
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version = "0.1.9"
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version = "0.1.19"
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description = "Building applications with LLMs through composability"
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optional = false
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python-versions = ">=3.8.1,<4.0"
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@ -302,7 +386,7 @@ develop = true
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[package.dependencies]
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anyio = ">=3,<5"
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jsonpatch = "^1.33"
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langsmith = "~0.0.63"
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langsmith = ">=0.0.83,<0.1"
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packaging = "^23.2"
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pydantic = ">=1,<3"
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PyYAML = ">=5.3"
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@ -318,13 +402,13 @@ url = "../../core"
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[[package]]
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name = "langsmith"
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version = "0.0.71"
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version = "0.0.86"
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description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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optional = false
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python-versions = ">=3.8.1,<4.0"
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files = [
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{file = "langsmith-0.0.71-py3-none-any.whl", hash = "sha256:dccc8522acbe64723ee6d54cb043f5c8d55512782b5eb3031add6691a00a28e1"},
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{file = "langsmith-0.0.71.tar.gz", hash = "sha256:1c6147563d7d658f5514299526a18d4e69e0e8ed59b99ad87abaf894eed1477a"},
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{file = "langsmith-0.0.86-py3-none-any.whl", hash = "sha256:7af15c36edb8c9fd9ae5c6d4fb940eb1da668b630a703d63c90c91e9be53aefb"},
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{file = "langsmith-0.0.86.tar.gz", hash = "sha256:c1572824664810c4425b17f2d1e9a59d53992e6898df22a37236c62d3c80f59e"},
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]
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[package.dependencies]
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@ -410,61 +494,61 @@ files = [
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[[package]]
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name = "orjson"
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version = "3.9.10"
|
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version = "3.9.13"
|
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description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
|
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optional = false
|
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python-versions = ">=3.8"
|
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files = [
|
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{file = "orjson-3.9.10-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:c18a4da2f50050a03d1da5317388ef84a16013302a5281d6f64e4a3f406aabc4"},
|
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{file = "orjson-3.9.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5148bab4d71f58948c7c39d12b14a9005b6ab35a0bdf317a8ade9a9e4d9d0bd5"},
|
||||
{file = "orjson-3.9.10-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4cf7837c3b11a2dfb589f8530b3cff2bd0307ace4c301e8997e95c7468c1378e"},
|
||||
{file = "orjson-3.9.10-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c62b6fa2961a1dcc51ebe88771be5319a93fd89bd247c9ddf732bc250507bc2b"},
|
||||
{file = "orjson-3.9.10-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:deeb3922a7a804755bbe6b5be9b312e746137a03600f488290318936c1a2d4dc"},
|
||||
{file = "orjson-3.9.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1234dc92d011d3554d929b6cf058ac4a24d188d97be5e04355f1b9223e98bbe9"},
|
||||
{file = "orjson-3.9.10-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:06ad5543217e0e46fd7ab7ea45d506c76f878b87b1b4e369006bdb01acc05a83"},
|
||||
{file = "orjson-3.9.10-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4fd72fab7bddce46c6826994ce1e7de145ae1e9e106ebb8eb9ce1393ca01444d"},
|
||||
{file = "orjson-3.9.10-cp310-none-win32.whl", hash = "sha256:b5b7d4a44cc0e6ff98da5d56cde794385bdd212a86563ac321ca64d7f80c80d1"},
|
||||
{file = "orjson-3.9.10-cp310-none-win_amd64.whl", hash = "sha256:61804231099214e2f84998316f3238c4c2c4aaec302df12b21a64d72e2a135c7"},
|
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{file = "orjson-3.9.10-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:cff7570d492bcf4b64cc862a6e2fb77edd5e5748ad715f487628f102815165e9"},
|
||||
{file = "orjson-3.9.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ed8bc367f725dfc5cabeed1ae079d00369900231fbb5a5280cf0736c30e2adf7"},
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]
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[[package]]
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@ -480,13 +564,13 @@ files = [
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[[package]]
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||||
name = "pluggy"
|
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version = "1.3.0"
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version = "1.4.0"
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description = "plugin and hook calling mechanisms for python"
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optional = false
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@ -495,18 +579,18 @@ testing = ["pytest", "pytest-benchmark"]
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[[package]]
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version = "2.5.2"
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[package.dependencies]
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[[package]]
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@ -790,6 +859,133 @@ files = [
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{file = "tokenizers-0.15.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6456e7ad397352775e2efdf68a9ec5d6524bbc4543e926eef428d36de627aed4"},
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|
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{file = "tokenizers-0.15.1-cp38-none-win_amd64.whl", hash = "sha256:a4fa0a20d9f69cc2bf1cfce41aa40588598e77ec1d6f56bf0eb99769969d1ede"},
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{file = "tokenizers-0.15.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:777286b1f7e52de92aa4af49fe31046cfd32885d1bbaae918fab3bba52794c33"},
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{file = "tokenizers-0.15.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58d4d550a3862a47dd249892d03a025e32286eb73cbd6bc887fb8fb64bc97165"},
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{file = "tokenizers-0.15.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4eda68ce0344f35042ae89220b40a0007f721776b727806b5c95497b35714bb7"},
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{file = "tokenizers-0.15.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0cd33d15f7a3a784c3b665cfe807b8de3c6779e060349bd5005bb4ae5bdcb437"},
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{file = "tokenizers-0.15.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0a1aa370f978ac0bfb50374c3a40daa93fd56d47c0c70f0c79607fdac2ccbb42"},
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{file = "tokenizers-0.15.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:68f30b05f46a4d9aba88489eadd021904afe90e10a7950e28370d6e71b9db021"},
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{file = "tokenizers-0.15.1-cp39-none-win_amd64.whl", hash = "sha256:9ff499923e4d6876d6b6a63ea84a56805eb35e91dd89b933a7aee0c56a3838c6"},
|
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{file = "tokenizers-0.15.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b3aa007a0f4408f62a8471bdaa3faccad644cbf2622639f2906b4f9b5339e8b8"},
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{file = "tokenizers-0.15.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:f3d4176fa93d8b2070db8f3c70dc21106ae6624fcaaa334be6bdd3a0251e729e"},
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{file = "tokenizers-0.15.1-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:1d0e463655ef8b2064df07bd4a445ed7f76f6da3b286b4590812587d42f80e89"},
|
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{file = "tokenizers-0.15.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:089138fd0351b62215c462a501bd68b8df0e213edcf99ab9efd5dba7b4cb733e"},
|
||||
{file = "tokenizers-0.15.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e563ac628f5175ed08e950430e2580e544b3e4b606a0995bb6b52b3a3165728"},
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||||
{file = "tokenizers-0.15.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:244dcc28c5fde221cb4373961b20da30097669005b122384d7f9f22752487a46"},
|
||||
{file = "tokenizers-0.15.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:d82951d46052dddae1369e68ff799a0e6e29befa9a0b46e387ae710fd4daefb0"},
|
||||
{file = "tokenizers-0.15.1-pp37-pypy37_pp73-macosx_10_12_x86_64.whl", hash = "sha256:7b14296bc9059849246ceb256ffbe97f8806a9b5d707e0095c22db312f4fc014"},
|
||||
{file = "tokenizers-0.15.1-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0309357bb9b6c8d86cdf456053479d7112074b470651a997a058cd7ad1c4ea57"},
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||||
{file = "tokenizers-0.15.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:083f06e9d8d01b70b67bcbcb7751b38b6005512cce95808be6bf34803534a7e7"},
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||||
{file = "tokenizers-0.15.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85288aea86ada579789447f0dcec108ebef8da4b450037eb4813d83e4da9371e"},
|
||||
{file = "tokenizers-0.15.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:385e6fcb01e8de90c1d157ae2a5338b23368d0b1c4cc25088cdca90147e35d17"},
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{file = "tokenizers-0.15.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:60067edfcbf7d6cd448ac47af41ec6e84377efbef7be0c06f15a7c1dd069e044"},
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{file = "tokenizers-0.15.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5f7e37f89acfe237d4eaf93c3b69b0f01f407a7a5d0b5a8f06ba91943ea3cf10"},
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{file = "tokenizers-0.15.1-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:2417d9e4958a6c2fbecc34c27269e74561c55d8823bf914b422e261a11fdd5fd"},
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{file = "tokenizers-0.15.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8550974bace6210e41ab04231e06408cf99ea4279e0862c02b8d47e7c2b2828"},
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{file = "tokenizers-0.15.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:194ba82129b171bcd29235a969e5859a93e491e9b0f8b2581f500f200c85cfdd"},
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{file = "tokenizers-0.15.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:1bfd95eef8b01e6c0805dbccc8eaf41d8c5a84f0cce72c0ab149fe76aae0bce6"},
|
||||
{file = "tokenizers-0.15.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:b87a15dd72f8216b03c151e3dace00c75c3fe7b0ee9643c25943f31e582f1a34"},
|
||||
{file = "tokenizers-0.15.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:6ac22f358a0c2a6c685be49136ce7ea7054108986ad444f567712cf274b34cd8"},
|
||||
{file = "tokenizers-0.15.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1e9d1f046a9b9d9a95faa103f07db5921d2c1c50f0329ebba4359350ee02b18b"},
|
||||
{file = "tokenizers-0.15.1-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:2a0fd30a4b74485f6a7af89fffb5fb84d6d5f649b3e74f8d37f624cc9e9e97cf"},
|
||||
{file = "tokenizers-0.15.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:80e45dc206b9447fa48795a1247c69a1732d890b53e2cc51ba42bc2fefa22407"},
|
||||
{file = "tokenizers-0.15.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4eaff56ef3e218017fa1d72007184401f04cb3a289990d2b6a0a76ce71c95f96"},
|
||||
{file = "tokenizers-0.15.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:b41dc107e4a4e9c95934e79b025228bbdda37d9b153d8b084160e88d5e48ad6f"},
|
||||
{file = "tokenizers-0.15.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:1922b8582d0c33488764bcf32e80ef6054f515369e70092729c928aae2284bc2"},
|
||||
{file = "tokenizers-0.15.1.tar.gz", hash = "sha256:c0a331d6d5a3d6e97b7f99f562cee8d56797180797bc55f12070e495e717c980"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
huggingface_hub = ">=0.16.4,<1.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["tokenizers[testing]"]
|
||||
docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
|
||||
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.0.1"
|
||||
@ -801,6 +997,26 @@ files = [
|
||||
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tqdm"
|
||||
version = "4.66.1"
|
||||
description = "Fast, Extensible Progress Meter"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
|
||||
{file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
||||
|
||||
[package.extras]
|
||||
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
|
||||
notebook = ["ipywidgets (>=6)"]
|
||||
slack = ["slack-sdk"]
|
||||
telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.9.0"
|
||||
@ -814,21 +1030,22 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "2.1.0"
|
||||
version = "2.2.0"
|
||||
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
|
||||
{file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
|
||||
{file = "urllib3-2.2.0-py3-none-any.whl", hash = "sha256:ce3711610ddce217e6d113a2732fafad960a03fd0318c91faa79481e35c11224"},
|
||||
{file = "urllib3-2.2.0.tar.gz", hash = "sha256:051d961ad0c62a94e50ecf1af379c3aba230c66c710493493560c0c223c49f20"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
|
||||
h2 = ["h2 (>=4,<5)"]
|
||||
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
content-hash = "72f02f84025d4cda9edb7f7105aecf65cc6341541143c45e5f2885c30aea5a0d"
|
||||
content-hash = "e3e1795eb1e3f7828f431e7882e2c841148a95e0c5ac84f2e6e8623c884eda21"
|
||||
|
||||
@ -14,6 +14,7 @@ license = "MIT"
|
||||
python = ">=3.8.1,<4.0"
|
||||
langchain-core = "^0.1"
|
||||
mistralai = "^0.0.11"
|
||||
tokenizers = "^0.15.1"
|
||||
|
||||
[tool.poetry.group.test]
|
||||
optional = true
|
||||
|
||||
@ -1,4 +1,5 @@
|
||||
"""Test MistralAI Embedding"""
|
||||
|
||||
from langchain_mistralai import MistralAIEmbeddings
|
||||
|
||||
|
||||
@ -38,10 +39,10 @@ async def test_mistralai_embedding_query_async() -> None:
|
||||
|
||||
def test_mistralai_embedding_documents_long() -> None:
|
||||
"""Test MistralAI embeddings for documents."""
|
||||
documents = ["foo bar " * 1000, "test document " * 1000]
|
||||
documents = ["foo bar " * 1000, "test document " * 1000] * 5
|
||||
embedding = MistralAIEmbeddings()
|
||||
output = embedding.embed_documents(documents)
|
||||
assert len(output) == 2
|
||||
assert len(output) == 10
|
||||
assert len(output[0]) == 1024
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user