mirror of
https://github.com/hwchase17/langchain.git
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core,langchain,community[patch]: allow langsmith 0.2 (#28598)
This commit is contained in:
Bagatur
GitHub
parent
bc4dc7f4b1
commit
e6a62d8422
@ -1,6 +1,6 @@
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import importlib
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import importlib.metadata
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from typing import Any, Dict, List, Literal, Optional
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from typing import Any, Dict, List, Literal, Optional, cast
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import numpy as np
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from langchain_core.embeddings import Embeddings
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@ -117,7 +117,7 @@ class FastEmbedEmbeddings(BaseModel, Embeddings):
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embeddings = self.model.embed(
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texts, batch_size=self.batch_size, parallel=self.parallel
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)
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return [e.tolist() for e in embeddings]
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return [cast(List[float], e.tolist()) for e in embeddings]
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def embed_query(self, text: str) -> List[float]:
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"""Generate query embeddings using FastEmbed.
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@ -133,4 +133,4 @@ class FastEmbedEmbeddings(BaseModel, Embeddings):
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text, batch_size=self.batch_size, parallel=self.parallel
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)
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)
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return query_embeddings.tolist()
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return cast(List[float], query_embeddings.tolist())
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@ -1,4 +1,4 @@
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from typing import Any, Dict, List, Optional
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from typing import Any, Dict, List, Optional, cast
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import numpy as np
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from langchain_core.embeddings import Embeddings
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@ -73,7 +73,7 @@ class LaserEmbeddings(BaseModel, Embeddings):
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embeddings: np.ndarray
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embeddings = self._encoder_pipeline.encode_sentences(texts)
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return embeddings.tolist()
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return cast(List[List[float]], embeddings.tolist())
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def embed_query(self, text: str) -> List[float]:
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"""Generate single query text embeddings using LASER.
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@ -86,4 +86,4 @@ class LaserEmbeddings(BaseModel, Embeddings):
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"""
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query_embeddings: np.ndarray
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query_embeddings = self._encoder_pipeline.encode_sentences([text])
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return query_embeddings.tolist()[0]
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return cast(List[List[float]], query_embeddings.tolist())[0]
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@ -2,7 +2,7 @@ from __future__ import annotations
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import logging
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import re
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from typing import TYPE_CHECKING, Any, List, Optional, Pattern
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from typing import TYPE_CHECKING, Any, List, Optional, Pattern, cast
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from urllib.parse import urlparse
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import numpy as np
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@ -18,7 +18,7 @@ def _array_to_buffer(array: List[float], dtype: Any = np.float32) -> bytes:
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def _buffer_to_array(buffer: bytes, dtype: Any = np.float32) -> List[float]:
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return np.frombuffer(buffer, dtype=dtype).tolist()
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return cast(List[float], np.frombuffer(buffer, dtype=dtype).tolist())
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class TokenEscaper:
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@ -1,4 +1,4 @@
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from typing import Any, Iterable, List, Optional, Tuple
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from typing import Any, Iterable, List, Optional, Tuple, cast
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from uuid import uuid4
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import numpy as np
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@ -111,7 +111,7 @@ class SemaDB(VectorStore):
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embed_matrix = embed_matrix / np.linalg.norm(
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embed_matrix, axis=1, keepdims=True
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)
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embeddings = embed_matrix.tolist()
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embeddings = cast(List[List[float]], embed_matrix.tolist())
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# Create points
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ids: List[str] = []
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points = []
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@ -186,7 +186,7 @@ class SemaDB(VectorStore):
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if self.distance_strategy == DistanceStrategy.COSINE:
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vec = np.array(embedding)
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vec = vec / np.linalg.norm(vec)
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embedding = vec.tolist()
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embedding = cast(List[float], vec.tolist())
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# Perform search request
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payload = {
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"vector": embedding,
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@ -1,6 +1,6 @@
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from __future__ import annotations
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from typing import Any, Dict, Iterable, List, Optional, Tuple, Union
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from typing import Any, Dict, Iterable, List, Optional, Tuple, Union, cast
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import numpy as np
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from langchain_core.documents import Document
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@ -75,7 +75,7 @@ class USearch(VectorStore):
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self.index.add(np.array(ids), np.array(embeddings))
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self.docstore.add(dict(zip(ids, documents)))
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self.ids.extend(ids)
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return ids.tolist()
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return cast(List[str], ids.tolist())
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def similarity_search_with_score(
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self,
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@ -171,4 +171,4 @@ class USearch(VectorStore):
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usearch = guard_import("usearch.index")
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index = usearch.Index(ndim=len(embeddings[0]), metric=metric)
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index.add(np.array(ids), np.array(embeddings))
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return cls(embedding, index, docstore, ids.tolist())
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return cls(embedding, index, docstore, cast(List[str], ids.tolist()))
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185
libs/community/poetry.lock
generated
185
libs/community/poetry.lock
generated
@ -1,4 +1,4 @@
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# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
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# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
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[[package]]
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name = "aiohappyeyeballs"
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@ -1827,7 +1827,7 @@ aiohttp = "^3.8.3"
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async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""}
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langchain-core = "^0.3.22"
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langchain-text-splitters = "^0.3.0"
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langsmith = "^0.1.17"
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langsmith = ">=0.1.17,<0.3"
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numpy = [
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{version = ">=1.22.4,<2", markers = "python_version < \"3.12\""},
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{version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""},
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@ -1853,7 +1853,7 @@ develop = true
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[package.dependencies]
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jsonpatch = "^1.33"
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langsmith = "^0.1.125"
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langsmith = ">=0.1.125,<0.3"
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packaging = ">=23.2,<25"
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pydantic = [
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{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
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@ -1869,7 +1869,7 @@ url = "../core"
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[[package]]
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name = "langchain-tests"
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version = "0.3.5"
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version = "0.3.6"
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description = "Standard tests for LangChain implementations"
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optional = false
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python-versions = ">=3.9,<4.0"
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@ -1878,7 +1878,7 @@ develop = true
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[package.dependencies]
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httpx = ">=0.25.0,<1"
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langchain-core = "^0.3.21"
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langchain-core = "^0.3.22"
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numpy = [
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{version = ">=1.24.0,<2.0.0", markers = "python_version < \"3.12\""},
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{version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""},
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@ -1910,13 +1910,13 @@ url = "../text-splitters"
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[[package]]
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name = "langsmith"
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version = "0.1.147"
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version = "0.2.1"
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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 = "<4.0,>=3.8.1"
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python-versions = "<4.0,>=3.9"
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files = [
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{file = "langsmith-0.1.147-py3-none-any.whl", hash = "sha256:7166fc23b965ccf839d64945a78e9f1157757add228b086141eb03a60d699a15"},
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{file = "langsmith-0.1.147.tar.gz", hash = "sha256:2e933220318a4e73034657103b3b1a3a6109cc5db3566a7e8e03be8d6d7def7a"},
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{file = "langsmith-0.2.1-py3-none-any.whl", hash = "sha256:9619c2d82a6d35cb6e2ff4472686415bb5bc238b12e2ed95b3e87b134228d7b4"},
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{file = "langsmith-0.2.1.tar.gz", hash = "sha256:2374dfa98fb43bb17d3446889559df36573a7fe2dddc09420b514b183512125d"},
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]
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[package.dependencies]
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@ -2425,66 +2425,66 @@ files = [
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[[package]]
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name = "numpy"
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version = "2.1.3"
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version = "2.2.0"
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description = "Fundamental package for array computing in Python"
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optional = false
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python-versions = ">=3.10"
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files = [
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[[package]]
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{file = "SQLAlchemy-2.0.36-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:b2985c0b06e989c043f1dc09d4fe89e1616aadd35392aea2844f0458a989eacf"},
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{file = "SQLAlchemy-2.0.36-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4a121d62ebe7d26fec9155f83f8be5189ef1405f5973ea4874a26fab9f1e262c"},
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{file = "SQLAlchemy-2.0.36-cp313-cp313-win32.whl", hash = "sha256:0572f4bd6f94752167adfd7c1bed84f4b240ee6203a95e05d1e208d488d0d436"},
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{file = "SQLAlchemy-2.0.36-cp313-cp313-win_amd64.whl", hash = "sha256:8c78ac40bde930c60e0f78b3cd184c580f89456dd87fc08f9e3ee3ce8765ce88"},
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{file = "SQLAlchemy-2.0.36-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:be9812b766cad94a25bc63bec11f88c4ad3629a0cec1cd5d4ba48dc23860486b"},
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{file = "SQLAlchemy-2.0.36-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50aae840ebbd6cdd41af1c14590e5741665e5272d2fee999306673a1bb1fdb4d"},
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{file = "SQLAlchemy-2.0.36-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4557e1f11c5f653ebfdd924f3f9d5ebfc718283b0b9beebaa5dd6b77ec290971"},
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{file = "SQLAlchemy-2.0.36-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:07b441f7d03b9a66299ce7ccf3ef2900abc81c0db434f42a5694a37bd73870f2"},
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{file = "SQLAlchemy-2.0.36-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:28120ef39c92c2dd60f2721af9328479516844c6b550b077ca450c7d7dc68575"},
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{file = "SQLAlchemy-2.0.36-cp37-cp37m-win32.whl", hash = "sha256:b81ee3d84803fd42d0b154cb6892ae57ea6b7c55d8359a02379965706c7efe6c"},
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{file = "SQLAlchemy-2.0.36-cp37-cp37m-win_amd64.whl", hash = "sha256:f942a799516184c855e1a32fbc7b29d7e571b52612647866d4ec1c3242578fcb"},
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{file = "SQLAlchemy-2.0.36-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:3d6718667da04294d7df1670d70eeddd414f313738d20a6f1d1f379e3139a545"},
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{file = "SQLAlchemy-2.0.36-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:72c28b84b174ce8af8504ca28ae9347d317f9dba3999e5981a3cd441f3712e24"},
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{file = "SQLAlchemy-2.0.36-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b11d0cfdd2b095e7b0686cf5fabeb9c67fae5b06d265d8180715b8cfa86522e3"},
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{file = "SQLAlchemy-2.0.36-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e32092c47011d113dc01ab3e1d3ce9f006a47223b18422c5c0d150af13a00687"},
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{file = "SQLAlchemy-2.0.36-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:6a440293d802d3011028e14e4226da1434b373cbaf4a4bbb63f845761a708346"},
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{file = "SQLAlchemy-2.0.36-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c54a1e53a0c308a8e8a7dffb59097bff7facda27c70c286f005327f21b2bd6b1"},
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{file = "SQLAlchemy-2.0.36-cp38-cp38-win32.whl", hash = "sha256:1e0d612a17581b6616ff03c8e3d5eff7452f34655c901f75d62bd86449d9750e"},
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{file = "SQLAlchemy-2.0.36-cp38-cp38-win_amd64.whl", hash = "sha256:8958b10490125124463095bbdadda5aa22ec799f91958e410438ad6c97a7b793"},
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{file = "SQLAlchemy-2.0.36-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:dc022184d3e5cacc9579e41805a681187650e170eb2fd70e28b86192a479dcaa"},
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{file = "SQLAlchemy-2.0.36-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b817d41d692bf286abc181f8af476c4fbef3fd05e798777492618378448ee689"},
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{file = "SQLAlchemy-2.0.36-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a4e46a888b54be23d03a89be510f24a7652fe6ff660787b96cd0e57a4ebcb46d"},
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{file = "SQLAlchemy-2.0.36-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4ae3005ed83f5967f961fd091f2f8c5329161f69ce8480aa8168b2d7fe37f06"},
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{file = "SQLAlchemy-2.0.36-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:03e08af7a5f9386a43919eda9de33ffda16b44eb11f3b313e6822243770e9763"},
|
||||
{file = "SQLAlchemy-2.0.36-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:3dbb986bad3ed5ceaf090200eba750b5245150bd97d3e67343a3cfed06feecf7"},
|
||||
{file = "SQLAlchemy-2.0.36-cp39-cp39-win32.whl", hash = "sha256:9fe53b404f24789b5ea9003fc25b9a3988feddebd7e7b369c8fac27ad6f52f28"},
|
||||
{file = "SQLAlchemy-2.0.36-cp39-cp39-win_amd64.whl", hash = "sha256:af148a33ff0349f53512a049c6406923e4e02bf2f26c5fb285f143faf4f0e46a"},
|
||||
{file = "SQLAlchemy-2.0.36-py3-none-any.whl", hash = "sha256:fddbe92b4760c6f5d48162aef14824add991aeda8ddadb3c31d56eb15ca69f8e"},
|
||||
{file = "sqlalchemy-2.0.36.tar.gz", hash = "sha256:7f2767680b6d2398aea7082e45a774b2b0767b5c8d8ffb9c8b683088ea9b29c5"},
|
||||
]
|
||||
@ -4094,13 +4141,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "types-protobuf"
|
||||
version = "5.28.3.20241203"
|
||||
version = "5.29.1.20241207"
|
||||
description = "Typing stubs for protobuf"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "types_protobuf-5.28.3.20241203-py3-none-any.whl", hash = "sha256:5367632a4785394b0504e7c1e4d54a2dceeae9cd4f73a705d0f6499fc99cecb1"},
|
||||
{file = "types_protobuf-5.28.3.20241203.tar.gz", hash = "sha256:2e1c962bdf76c576506b5fc0678d28efa6652a54c04ae46562a6209e777bd789"},
|
||||
{file = "types_protobuf-5.29.1.20241207-py3-none-any.whl", hash = "sha256:92893c42083e9b718c678badc0af7a9a1307b92afe1599e5cba5f3d35b668b2f"},
|
||||
{file = "types_protobuf-5.29.1.20241207.tar.gz", hash = "sha256:2ebcadb8ab3ef2e3e2f067e0882906d64ba0dc65fc5b0fd7a8b692315b4a0be9"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -4628,4 +4675,4 @@ type = ["pytest-mypy"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9,<4.0"
|
||||
content-hash = "82c8110d73b618825af6b9083eb22ad670344dd4160bf2a13a71d447149f9059"
|
||||
content-hash = "67b850cc68471b3b1fab7b3932cd9ddf29c96c220fd3c2657e773295413a8a3a"
|
||||
|
||||
@ -39,7 +39,7 @@ aiohttp = "^3.8.3"
|
||||
tenacity = ">=8.1.0,!=8.4.0,<10"
|
||||
dataclasses-json = ">= 0.5.7, < 0.7"
|
||||
pydantic-settings = "^2.4.0"
|
||||
langsmith = "^0.1.125"
|
||||
langsmith = ">=0.1.125,<0.3"
|
||||
httpx-sse = "^0.4.0"
|
||||
[[tool.poetry.dependencies.numpy]]
|
||||
version = ">=1.22.4,<2"
|
||||
|
||||
@ -3,7 +3,7 @@
|
||||
import math
|
||||
import os
|
||||
import tempfile
|
||||
from typing import List
|
||||
from typing import List, cast
|
||||
|
||||
import numpy as np
|
||||
import pytest
|
||||
@ -60,13 +60,13 @@ class RandomEmbeddings(Embeddings):
|
||||
"""Fake embeddings with random vectors. For testing purposes."""
|
||||
|
||||
def embed_documents(self, texts: List[str]) -> List[List[float]]:
|
||||
return [np.random.rand(100).tolist() for _ in texts]
|
||||
return [cast(list[float], np.random.rand(100).tolist()) for _ in texts]
|
||||
|
||||
def embed_query(self, text: str) -> List[float]:
|
||||
return np.random.rand(100).tolist()
|
||||
return cast(list[float], np.random.rand(100).tolist())
|
||||
|
||||
def embed_image(self, uris: List[str]) -> List[List[float]]:
|
||||
return [np.random.rand(100).tolist() for _ in uris]
|
||||
return [cast(list[float], np.random.rand(100).tolist()) for _ in uris]
|
||||
|
||||
|
||||
class IncrementalEmbeddings(Embeddings):
|
||||
|
||||
@ -1,5 +1,7 @@
|
||||
"""Test vector store utility functions."""
|
||||
|
||||
from typing import cast
|
||||
|
||||
import numpy as np
|
||||
from langchain_core.documents import Document
|
||||
|
||||
@ -53,7 +55,7 @@ def test_maximal_marginal_relevance() -> None:
|
||||
def test_maximal_marginal_relevance_query_dim() -> None:
|
||||
query_embedding = np.random.random(size=5)
|
||||
query_embedding_2d = query_embedding.reshape((1, 5))
|
||||
embedding_list = np.random.random(size=(4, 5)).tolist()
|
||||
embedding_list = cast(list[list[float]], np.random.random(size=(4, 5)).tolist())
|
||||
first = maximal_marginal_relevance(query_embedding, embedding_list)
|
||||
second = maximal_marginal_relevance(query_embedding_2d, embedding_list)
|
||||
assert first == second
|
||||
|
||||
@ -6,6 +6,7 @@ from contextvars import ContextVar
|
||||
from typing import (
|
||||
TYPE_CHECKING,
|
||||
Any,
|
||||
Literal,
|
||||
Optional,
|
||||
Union,
|
||||
cast,
|
||||
@ -141,7 +142,7 @@ def _get_trace_callbacks(
|
||||
return cb
|
||||
|
||||
|
||||
def _tracing_v2_is_enabled() -> bool:
|
||||
def _tracing_v2_is_enabled() -> Union[bool, Literal["local"]]:
|
||||
if tracing_v2_callback_var.get() is not None:
|
||||
return True
|
||||
return ls_utils.tracing_is_enabled()
|
||||
|
||||
587
libs/core/poetry.lock
generated
587
libs/core/poetry.lock
generated
@ -1,4 +1,4 @@
|
||||
# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
|
||||
# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
@ -13,24 +13,24 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "anyio"
|
||||
version = "4.6.2.post1"
|
||||
version = "4.7.0"
|
||||
description = "High level compatibility layer for multiple asynchronous event loop implementations"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
|
||||
{file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
|
||||
{file = "anyio-4.7.0-py3-none-any.whl", hash = "sha256:ea60c3723ab42ba6fff7e8ccb0488c898ec538ff4df1f1d5e642c3601d07e352"},
|
||||
{file = "anyio-4.7.0.tar.gz", hash = "sha256:2f834749c602966b7d456a7567cafcb309f96482b5081d14ac93ccd457f9dd48"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
|
||||
idna = ">=2.8"
|
||||
sniffio = ">=1.1"
|
||||
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
|
||||
typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
|
||||
|
||||
[package.extras]
|
||||
doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
|
||||
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
|
||||
doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
|
||||
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
|
||||
trio = ["trio (>=0.26.1)"]
|
||||
|
||||
[[package]]
|
||||
@ -122,21 +122,18 @@ test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock
|
||||
|
||||
[[package]]
|
||||
name = "asttokens"
|
||||
version = "2.4.1"
|
||||
version = "3.0.0"
|
||||
description = "Annotate AST trees with source code positions"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
|
||||
{file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
|
||||
{file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"},
|
||||
{file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
six = ">=1.12.0"
|
||||
|
||||
[package.extras]
|
||||
astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
|
||||
test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
|
||||
astroid = ["astroid (>=2,<4)"]
|
||||
test = ["astroid (>=2,<4)", "pytest", "pytest-cov", "pytest-xdist"]
|
||||
|
||||
[[package]]
|
||||
name = "async-lru"
|
||||
@ -457,37 +454,37 @@ test = ["pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "debugpy"
|
||||
version = "1.8.8"
|
||||
version = "1.8.9"
|
||||
description = "An implementation of the Debug Adapter Protocol for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "debugpy-1.8.8-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:e59b1607c51b71545cb3496876544f7186a7a27c00b436a62f285603cc68d1c6"},
|
||||
{file = "debugpy-1.8.8-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a6531d952b565b7cb2fbd1ef5df3d333cf160b44f37547a4e7cf73666aca5d8d"},
|
||||
{file = "debugpy-1.8.8-cp310-cp310-win32.whl", hash = "sha256:b01f4a5e5c5fb1d34f4ccba99a20ed01eabc45a4684f4948b5db17a319dfb23f"},
|
||||
{file = "debugpy-1.8.8-cp310-cp310-win_amd64.whl", hash = "sha256:535f4fb1c024ddca5913bb0eb17880c8f24ba28aa2c225059db145ee557035e9"},
|
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{file = "debugpy-1.8.8-cp311-cp311-macosx_14_0_universal2.whl", hash = "sha256:c399023146e40ae373753a58d1be0a98bf6397fadc737b97ad612886b53df318"},
|
||||
{file = "debugpy-1.8.8-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:09cc7b162586ea2171eea055985da2702b0723f6f907a423c9b2da5996ad67ba"},
|
||||
{file = "debugpy-1.8.8-cp311-cp311-win32.whl", hash = "sha256:eea8821d998ebeb02f0625dd0d76839ddde8cbf8152ebbe289dd7acf2cdc6b98"},
|
||||
{file = "debugpy-1.8.8-cp311-cp311-win_amd64.whl", hash = "sha256:d4483836da2a533f4b1454dffc9f668096ac0433de855f0c22cdce8c9f7e10c4"},
|
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{file = "debugpy-1.8.8-cp312-cp312-macosx_14_0_universal2.whl", hash = "sha256:0cc94186340be87b9ac5a707184ec8f36547fb66636d1029ff4f1cc020e53996"},
|
||||
{file = "debugpy-1.8.8-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:64674e95916e53c2e9540a056e5f489e0ad4872645399d778f7c598eacb7b7f9"},
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|
||||
{file = "debugpy-1.8.8-cp312-cp312-win_amd64.whl", hash = "sha256:19ffbd84e757a6ca0113574d1bf5a2298b3947320a3e9d7d8dc3377f02d9f864"},
|
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{file = "debugpy-1.8.8-cp313-cp313-macosx_14_0_universal2.whl", hash = "sha256:705cd123a773d184860ed8dae99becd879dfec361098edbefb5fc0d3683eb804"},
|
||||
{file = "debugpy-1.8.8-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:890fd16803f50aa9cb1a9b9b25b5ec321656dd6b78157c74283de241993d086f"},
|
||||
{file = "debugpy-1.8.8-cp313-cp313-win32.whl", hash = "sha256:90244598214bbe704aa47556ec591d2f9869ff9e042e301a2859c57106649add"},
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||||
]
|
||||
|
||||
[[package]]
|
||||
@ -542,13 +539,13 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
|
||||
|
||||
[[package]]
|
||||
name = "fastjsonschema"
|
||||
version = "2.20.0"
|
||||
version = "2.21.1"
|
||||
description = "Fastest Python implementation of JSON schema"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "fastjsonschema-2.20.0-py3-none-any.whl", hash = "sha256:5875f0b0fa7a0043a91e93a9b8f793bcbbba9691e7fd83dca95c28ba26d21f0a"},
|
||||
{file = "fastjsonschema-2.20.0.tar.gz", hash = "sha256:3d48fc5300ee96f5d116f10fe6f28d938e6008f59a6a025c2649475b87f76a23"},
|
||||
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|
||||
{file = "fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -630,13 +627,13 @@ trio = ["trio (>=0.22.0,<1.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "httpx"
|
||||
version = "0.27.2"
|
||||
version = "0.28.1"
|
||||
description = "The next generation HTTP client."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
|
||||
{file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
|
||||
{file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
|
||||
{file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -644,7 +641,6 @@ anyio = "*"
|
||||
certifi = "*"
|
||||
httpcore = "==1.*"
|
||||
idna = "*"
|
||||
sniffio = "*"
|
||||
|
||||
[package.extras]
|
||||
brotli = ["brotli", "brotlicffi"]
|
||||
@ -844,13 +840,13 @@ i18n = ["Babel (>=2.7)"]
|
||||
|
||||
[[package]]
|
||||
name = "json5"
|
||||
version = "0.9.28"
|
||||
version = "0.10.0"
|
||||
description = "A Python implementation of the JSON5 data format."
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
{file = "json5-0.9.28-py3-none-any.whl", hash = "sha256:29c56f1accdd8bc2e037321237662034a7e07921e2b7223281a5ce2c46f0c4df"},
|
||||
{file = "json5-0.9.28.tar.gz", hash = "sha256:1f82f36e615bc5b42f1bbd49dbc94b12563c56408c6ffa06414ea310890e9a6e"},
|
||||
{file = "json5-0.10.0-py3-none-any.whl", hash = "sha256:19b23410220a7271e8377f81ba8aacba2fdd56947fbb137ee5977cbe1f5e8dfa"},
|
||||
{file = "json5-0.10.0.tar.gz", hash = "sha256:e66941c8f0a02026943c52c2eb34ebeb2a6f819a0be05920a6f5243cd30fd559"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -1107,18 +1103,18 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
|
||||
|
||||
[[package]]
|
||||
name = "jupyterlab"
|
||||
version = "4.3.0"
|
||||
version = "4.3.2"
|
||||
description = "JupyterLab computational environment"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "jupyterlab-4.3.0-py3-none-any.whl", hash = "sha256:f67e1095ad61ae04349024f0b40345062ab108a0c6998d9810fec6a3c1a70cd5"},
|
||||
{file = "jupyterlab-4.3.0.tar.gz", hash = "sha256:7c6835cbf8df0af0ec8a39332e85ff11693fb9a468205343b4fc0bfbc74817e5"},
|
||||
{file = "jupyterlab-4.3.2-py3-none-any.whl", hash = "sha256:e87100cbab8b886ff7a4f325c856100ba6fdfe916162a85409daf0e707e19d1d"},
|
||||
{file = "jupyterlab-4.3.2.tar.gz", hash = "sha256:3c0a6882dbddcc0a7bfdd5e2236f351b2b263e48780236e6996c2aca13ac5b22"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
async-lru = ">=1.0.0"
|
||||
httpx = ">=0.25.0"
|
||||
httpx = ">=0.28.0,<0.29.0"
|
||||
importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
|
||||
ipykernel = ">=6.5.0"
|
||||
jinja2 = ">=3.0.3"
|
||||
@ -1128,7 +1124,7 @@ jupyter-server = ">=2.4.0,<3"
|
||||
jupyterlab-server = ">=2.27.1,<3"
|
||||
notebook-shim = ">=0.2"
|
||||
packaging = "*"
|
||||
setuptools = ">=40.1.0"
|
||||
setuptools = ">=40.8.0"
|
||||
tomli = {version = ">=1.2.2", markers = "python_version < \"3.11\""}
|
||||
tornado = ">=6.2.0"
|
||||
traitlets = "*"
|
||||
@ -1190,7 +1186,7 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-tests"
|
||||
version = "0.3.4"
|
||||
version = "0.3.5"
|
||||
description = "Standard tests for LangChain implementations"
|
||||
optional = false
|
||||
python-versions = ">=3.9,<4.0"
|
||||
@ -1198,9 +1194,15 @@ files = []
|
||||
develop = true
|
||||
|
||||
[package.dependencies]
|
||||
httpx = "^0.27.0"
|
||||
langchain-core = "^0.3.19"
|
||||
httpx = ">=0.25.0,<1"
|
||||
langchain-core = "^0.3.21"
|
||||
numpy = [
|
||||
{version = ">=1.24.0,<2.0.0", markers = "python_version < \"3.12\""},
|
||||
{version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""},
|
||||
]
|
||||
pytest = ">=7,<9"
|
||||
pytest-asyncio = ">=0.20,<1"
|
||||
pytest-socket = ">=0.6.0,<1"
|
||||
syrupy = "^4"
|
||||
|
||||
[package.source]
|
||||
@ -1225,18 +1227,18 @@ url = "../text-splitters"
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.1.143"
|
||||
version = "0.2.1"
|
||||
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "langsmith-0.1.143-py3-none-any.whl", hash = "sha256:ba0d827269e9b03a90fababe41fa3e4e3f833300b95add10184f7e67167dde6f"},
|
||||
{file = "langsmith-0.1.143.tar.gz", hash = "sha256:4c5159e5cd84b3f8499433009e72d2076dd2daf6c044ac8a3611b30d0d0161c5"},
|
||||
{file = "langsmith-0.2.1-py3-none-any.whl", hash = "sha256:9619c2d82a6d35cb6e2ff4472686415bb5bc238b12e2ed95b3e87b134228d7b4"},
|
||||
{file = "langsmith-0.2.1.tar.gz", hash = "sha256:2374dfa98fb43bb17d3446889559df36573a7fe2dddc09420b514b183512125d"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
httpx = ">=0.23.0,<1"
|
||||
orjson = ">=3.9.14,<4.0.0"
|
||||
orjson = {version = ">=3.9.14,<4.0.0", markers = "platform_python_implementation != \"PyPy\""}
|
||||
pydantic = [
|
||||
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
|
||||
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
|
||||
@ -1244,6 +1246,9 @@ pydantic = [
|
||||
requests = ">=2,<3"
|
||||
requests-toolbelt = ">=1.0.0,<2.0.0"
|
||||
|
||||
[package.extras]
|
||||
langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "markupsafe"
|
||||
version = "3.0.2"
|
||||
@ -1399,13 +1404,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "nbclient"
|
||||
version = "0.10.0"
|
||||
version = "0.10.1"
|
||||
description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
{file = "nbclient-0.10.0-py3-none-any.whl", hash = "sha256:f13e3529332a1f1f81d82a53210322476a168bb7090a0289c795fe9cc11c9d3f"},
|
||||
{file = "nbclient-0.10.0.tar.gz", hash = "sha256:4b3f1b7dba531e498449c4db4f53da339c91d449dc11e9af3a43b4eb5c5abb09"},
|
||||
{file = "nbclient-0.10.1-py3-none-any.whl", hash = "sha256:949019b9240d66897e442888cfb618f69ef23dc71c01cb5fced8499c2cfc084d"},
|
||||
{file = "nbclient-0.10.1.tar.gz", hash = "sha256:3e93e348ab27e712acd46fccd809139e356eb9a31aab641d1a7991a6eb4e6f68"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -1416,7 +1421,7 @@ traitlets = ">=5.4"
|
||||
|
||||
[package.extras]
|
||||
dev = ["pre-commit"]
|
||||
docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"]
|
||||
docs = ["autodoc-traits", "flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "mock", "moto", "myst-parser", "nbconvert (>=7.0.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling", "testpath", "xmltodict"]
|
||||
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||||
|
||||
[[package]]
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||||
@ -1491,26 +1496,26 @@ files = [
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||||
[[package]]
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||||
name = "notebook"
|
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version = "7.0.7"
|
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version = "7.3.1"
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description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
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[package.dependencies]
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[[package]]
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@ -1640,69 +1645,86 @@ files = [
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||||
]
|
||||
|
||||
[[package]]
|
||||
@ -1800,13 +1822,13 @@ testing = ["pytest", "pytest-benchmark"]
|
||||
|
||||
[[package]]
|
||||
name = "prometheus-client"
|
||||
version = "0.21.0"
|
||||
version = "0.21.1"
|
||||
description = "Python client for the Prometheus monitoring system."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "prometheus_client-0.21.0-py3-none-any.whl", hash = "sha256:4fa6b4dd0ac16d58bb587c04b1caae65b8c5043e85f778f42f5f632f6af2e166"},
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||||
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||||
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||||
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|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -1894,13 +1916,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "pydantic"
|
||||
version = "2.10.1"
|
||||
version = "2.10.3"
|
||||
description = "Data validation using Python type hints"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pydantic-2.10.1-py3-none-any.whl", hash = "sha256:a8d20db84de64cf4a7d59e899c2caf0fe9d660c7cfc482528e7020d7dd189a7e"},
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2054,13 +2076,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
|
||||
|
||||
[[package]]
|
||||
name = "pytest"
|
||||
version = "8.3.3"
|
||||
version = "8.3.4"
|
||||
description = "pytest: simple powerful testing with Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
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||||
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2484,101 +2506,114 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "rpds-py"
|
||||
version = "0.21.0"
|
||||
version = "0.22.3"
|
||||
description = "Python bindings to Rust's persistent data structures (rpds)"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
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||||
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -2642,13 +2677,13 @@ testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (
|
||||
|
||||
[[package]]
|
||||
name = "six"
|
||||
version = "1.16.0"
|
||||
version = "1.17.0"
|
||||
description = "Python 2 and 3 compatibility utilities"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
|
||||
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
|
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|
||||
|
||||
[[package]]
|
||||
@ -2694,13 +2729,13 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
|
||||
|
||||
[[package]]
|
||||
name = "syrupy"
|
||||
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|
||||
version = "4.8.0"
|
||||
description = "Pytest Snapshot Test Utility"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1"
|
||||
files = [
|
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2762,33 +2797,63 @@ test = ["pytest", "ruff"]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.1.0"
|
||||
version = "2.2.1"
|
||||
description = "A lil' TOML parser"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
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|
||||
|
||||
[[package]]
|
||||
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|
||||
version = "6.4.1"
|
||||
version = "6.4.2"
|
||||
description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
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|
||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
@ -2833,13 +2898,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "types-python-dateutil"
|
||||
version = "2.9.0.20241003"
|
||||
version = "2.9.0.20241206"
|
||||
description = "Typing stubs for python-dateutil"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "types-python-dateutil-2.9.0.20241003.tar.gz", hash = "sha256:58cb85449b2a56d6684e41aeefb4c4280631246a0da1a719bdbe6f3fb0317446"},
|
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|
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|
||||
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|
||||
|
||||
[[package]]
|
||||
@ -3033,4 +3098,4 @@ type = ["pytest-mypy"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9,<4.0"
|
||||
content-hash = "02bfef4d884d17f83dde79a4076a3d07f94a1b3dbf2414f07379dab64a78e183"
|
||||
content-hash = "5accfdfd412486fbf7bb3ef18f00e75db40599034428651ef014b0bc3927ddfa"
|
||||
|
||||
@ -27,7 +27,7 @@ target-version = "py39"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = ">=3.9,<4.0"
|
||||
langsmith = "^0.1.125"
|
||||
langsmith = ">=0.1.125,<0.3"
|
||||
tenacity = ">=8.1.0,!=8.4.0,<10.0.0"
|
||||
jsonpatch = "^1.33"
|
||||
PyYAML = ">=5.3"
|
||||
|
||||
@ -4600,18 +4600,18 @@ def test_representation_of_runnables() -> None:
|
||||
assert repr(RunnableLambda(func=f, afunc=af)) == "RunnableLambda(f)"
|
||||
|
||||
assert repr(
|
||||
RunnableLambda(lambda x: x + 2)
|
||||
RunnableLambda(lambda x: x * 2)
|
||||
| {
|
||||
"a": RunnableLambda(lambda x: x * 2),
|
||||
"b": RunnableLambda(lambda x: x * 3),
|
||||
}
|
||||
) == (
|
||||
"RunnableLambda(...)\n"
|
||||
"RunnableLambda(lambda x: x * 2)\n"
|
||||
"| {\n"
|
||||
" a: RunnableLambda(...),\n"
|
||||
" b: RunnableLambda(...)\n"
|
||||
" }"
|
||||
), "repr where code string contains multiple lambdas gives up"
|
||||
)
|
||||
|
||||
|
||||
async def test_tool_from_runnable() -> None:
|
||||
|
||||
@ -75,7 +75,7 @@ class EmbeddingsFilter(BaseDocumentCompressor):
|
||||
)
|
||||
embedded_query = self.embeddings.embed_query(query)
|
||||
similarity = self.similarity_fn([embedded_query], embedded_documents)[0]
|
||||
included_idxs = np.arange(len(embedded_documents))
|
||||
included_idxs: np.ndarray = np.arange(len(embedded_documents))
|
||||
if self.k is not None:
|
||||
included_idxs = np.argsort(similarity)[::-1][: self.k]
|
||||
if self.similarity_threshold is not None:
|
||||
@ -110,7 +110,7 @@ class EmbeddingsFilter(BaseDocumentCompressor):
|
||||
)
|
||||
embedded_query = await self.embeddings.aembed_query(query)
|
||||
similarity = self.similarity_fn([embedded_query], embedded_documents)[0]
|
||||
included_idxs = np.arange(len(embedded_documents))
|
||||
included_idxs: np.ndarray = np.arange(len(embedded_documents))
|
||||
if self.k is not None:
|
||||
included_idxs = np.argsort(similarity)[::-1][: self.k]
|
||||
if self.similarity_threshold is not None:
|
||||
|
||||
183
libs/langchain/poetry.lock
generated
183
libs/langchain/poetry.lock
generated
@ -1,4 +1,4 @@
|
||||
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
|
||||
# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "aiohappyeyeballs"
|
||||
@ -1984,7 +1984,7 @@ develop = true
|
||||
|
||||
[package.dependencies]
|
||||
jsonpatch = "^1.33"
|
||||
langsmith = "^0.1.125"
|
||||
langsmith = ">=0.1.125,<0.3"
|
||||
packaging = ">=23.2,<25"
|
||||
pydantic = [
|
||||
{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
|
||||
@ -2018,7 +2018,7 @@ url = "../partners/openai"
|
||||
|
||||
[[package]]
|
||||
name = "langchain-tests"
|
||||
version = "0.3.5"
|
||||
version = "0.3.6"
|
||||
description = "Standard tests for LangChain implementations"
|
||||
optional = false
|
||||
python-versions = ">=3.9,<4.0"
|
||||
@ -2027,7 +2027,7 @@ develop = true
|
||||
|
||||
[package.dependencies]
|
||||
httpx = ">=0.25.0,<1"
|
||||
langchain-core = "^0.3.21"
|
||||
langchain-core = "^0.3.22"
|
||||
numpy = [
|
||||
{version = ">=1.24.0,<2.0.0", markers = "python_version < \"3.12\""},
|
||||
{version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""},
|
||||
@ -2075,13 +2075,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.1.147"
|
||||
version = "0.2.1"
|
||||
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "langsmith-0.1.147-py3-none-any.whl", hash = "sha256:7166fc23b965ccf839d64945a78e9f1157757add228b086141eb03a60d699a15"},
|
||||
{file = "langsmith-0.1.147.tar.gz", hash = "sha256:2e933220318a4e73034657103b3b1a3a6109cc5db3566a7e8e03be8d6d7def7a"},
|
||||
{file = "langsmith-0.2.1-py3-none-any.whl", hash = "sha256:9619c2d82a6d35cb6e2ff4472686415bb5bc238b12e2ed95b3e87b134228d7b4"},
|
||||
{file = "langsmith-0.2.1.tar.gz", hash = "sha256:2374dfa98fb43bb17d3446889559df36573a7fe2dddc09420b514b183512125d"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2571,66 +2571,66 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "2.1.3"
|
||||
version = "2.2.0"
|
||||
description = "Fundamental package for array computing in Python"
|
||||
optional = false
|
||||
python-versions = ">=3.10"
|
||||
files = [
|
||||
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{file = "numpy-2.1.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b47fbb433d3260adcd51eb54f92a2ffbc90a4595f8970ee00e064c644ac788f5"},
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{file = "numpy-2.1.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e711e02f49e176a01d0349d82cb5f05ba4db7d5e7e0defd026328e5cfb3226d3"},
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{file = "numpy-2.1.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8637dcd2caa676e475503d1f8fdb327bc495554e10838019651b76d17b98e512"},
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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[[package]]
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{file = "SQLAlchemy-2.0.36-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e32092c47011d113dc01ab3e1d3ce9f006a47223b18422c5c0d150af13a00687"},
|
||||
{file = "SQLAlchemy-2.0.36-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:6a440293d802d3011028e14e4226da1434b373cbaf4a4bbb63f845761a708346"},
|
||||
{file = "SQLAlchemy-2.0.36-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c54a1e53a0c308a8e8a7dffb59097bff7facda27c70c286f005327f21b2bd6b1"},
|
||||
{file = "SQLAlchemy-2.0.36-cp38-cp38-win32.whl", hash = "sha256:1e0d612a17581b6616ff03c8e3d5eff7452f34655c901f75d62bd86449d9750e"},
|
||||
{file = "SQLAlchemy-2.0.36-cp38-cp38-win_amd64.whl", hash = "sha256:8958b10490125124463095bbdadda5aa22ec799f91958e410438ad6c97a7b793"},
|
||||
{file = "SQLAlchemy-2.0.36-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:dc022184d3e5cacc9579e41805a681187650e170eb2fd70e28b86192a479dcaa"},
|
||||
{file = "SQLAlchemy-2.0.36-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b817d41d692bf286abc181f8af476c4fbef3fd05e798777492618378448ee689"},
|
||||
{file = "SQLAlchemy-2.0.36-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a4e46a888b54be23d03a89be510f24a7652fe6ff660787b96cd0e57a4ebcb46d"},
|
||||
{file = "SQLAlchemy-2.0.36-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4ae3005ed83f5967f961fd091f2f8c5329161f69ce8480aa8168b2d7fe37f06"},
|
||||
{file = "SQLAlchemy-2.0.36-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:03e08af7a5f9386a43919eda9de33ffda16b44eb11f3b313e6822243770e9763"},
|
||||
{file = "SQLAlchemy-2.0.36-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:3dbb986bad3ed5ceaf090200eba750b5245150bd97d3e67343a3cfed06feecf7"},
|
||||
{file = "SQLAlchemy-2.0.36-cp39-cp39-win32.whl", hash = "sha256:9fe53b404f24789b5ea9003fc25b9a3988feddebd7e7b369c8fac27ad6f52f28"},
|
||||
{file = "SQLAlchemy-2.0.36-cp39-cp39-win_amd64.whl", hash = "sha256:af148a33ff0349f53512a049c6406923e4e02bf2f26c5fb285f143faf4f0e46a"},
|
||||
{file = "SQLAlchemy-2.0.36-py3-none-any.whl", hash = "sha256:fddbe92b4760c6f5d48162aef14824add991aeda8ddadb3c31d56eb15ca69f8e"},
|
||||
{file = "sqlalchemy-2.0.36.tar.gz", hash = "sha256:7f2767680b6d2398aea7082e45a774b2b0767b5c8d8ffb9c8b683088ea9b29c5"},
|
||||
]
|
||||
@ -4452,13 +4499,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "types-protobuf"
|
||||
version = "5.28.3.20241203"
|
||||
version = "5.29.1.20241207"
|
||||
description = "Typing stubs for protobuf"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "types_protobuf-5.28.3.20241203-py3-none-any.whl", hash = "sha256:5367632a4785394b0504e7c1e4d54a2dceeae9cd4f73a705d0f6499fc99cecb1"},
|
||||
{file = "types_protobuf-5.28.3.20241203.tar.gz", hash = "sha256:2e1c962bdf76c576506b5fc0678d28efa6652a54c04ae46562a6209e777bd789"},
|
||||
{file = "types_protobuf-5.29.1.20241207-py3-none-any.whl", hash = "sha256:92893c42083e9b718c678badc0af7a9a1307b92afe1599e5cba5f3d35b668b2f"},
|
||||
{file = "types_protobuf-5.29.1.20241207.tar.gz", hash = "sha256:2ebcadb8ab3ef2e3e2f067e0882906d64ba0dc65fc5b0fd7a8b692315b4a0be9"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -4971,4 +5018,4 @@ type = ["pytest-mypy"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9,<4.0"
|
||||
content-hash = "281ab0dd41e4fc73f4d91dab9dbfccf0282c4eb34068f3059f28b9b67aec40e0"
|
||||
content-hash = "565689140fe21740c651e376da4a5ff2eaf687588aed8c2707d3ffb2a77df7e4"
|
||||
|
||||
@ -35,7 +35,7 @@ langchain-server = "langchain.server:main"
|
||||
python = ">=3.9,<4.0"
|
||||
langchain-core = "^0.3.22"
|
||||
langchain-text-splitters = "^0.3.0"
|
||||
langsmith = "^0.1.17"
|
||||
langsmith = ">=0.1.17,<0.3"
|
||||
pydantic = "^2.7.4"
|
||||
SQLAlchemy = ">=1.4,<3"
|
||||
requests = "^2"
|
||||
|
||||
Loading…
Reference in New Issue
Block a user