repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/tests/unit_tests/test_huggingface_pipeline.py | libs/partners/huggingface/tests/unit_tests/test_huggingface_pipeline.py | from unittest.mock import MagicMock, patch
from langchain_huggingface import HuggingFacePipeline
DEFAULT_MODEL_ID = "gpt2"
def test_initialization_default() -> None:
"""Test default initialization."""
llm = HuggingFacePipeline()
assert llm.model_id == DEFAULT_MODEL_ID
@patch("transformers.pipeline")
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/tests/unit_tests/test_chat_models.py | libs/partners/huggingface/tests/unit_tests/test_chat_models.py | from typing import Any
from unittest.mock import MagicMock, Mock, patch
import pytest # type: ignore[import-not-found]
from langchain_core.messages import (
AIMessage,
BaseMessage,
FunctionMessage,
HumanMessage,
SystemMessage,
)
from langchain_core.outputs import ChatResult
from langchain_core.too... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/tests/unit_tests/__init__.py | libs/partners/huggingface/tests/unit_tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py | libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py | """Test HuggingFace embeddings."""
from langchain_tests.integration_tests import EmbeddingsIntegrationTests
from langchain_huggingface.embeddings import (
HuggingFaceEmbeddings,
HuggingFaceEndpointEmbeddings,
)
class TestHuggingFaceEmbeddings(EmbeddingsIntegrationTests):
@property
def embeddings_cla... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/tests/integration_tests/test_standard.py | libs/partners/huggingface/tests/integration_tests/test_standard.py | """Standard LangChain interface tests."""
from typing import Any, Literal
import pytest
from langchain_core.language_models import BaseChatModel
from langchain_core.tools import BaseTool
from langchain_tests.integration_tests import ChatModelIntegrationTests
from langchain_huggingface import ChatHuggingFace, Hugging... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/tests/integration_tests/test_compile.py | libs/partners/huggingface/tests/integration_tests/test_compile.py | import pytest # type: ignore[import-not-found, import-not-found]
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/tests/integration_tests/test_chat_models.py | libs/partners/huggingface/tests/integration_tests/test_chat_models.py | from langchain_core.messages import AIMessageChunk
from langchain_huggingface import ChatHuggingFace, HuggingFaceEndpoint
def test_stream_usage() -> None:
"""Test we are able to configure stream options on models that require it."""
llm = HuggingFaceEndpoint( # type: ignore[call-arg] # (model is inferred i... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/tests/integration_tests/__init__.py | libs/partners/huggingface/tests/integration_tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/tests/integration_tests/test_llms.py | libs/partners/huggingface/tests/integration_tests/test_llms.py | from collections.abc import Generator
from langchain_huggingface.llms import HuggingFacePipeline
def test_huggingface_pipeline_streaming() -> None:
"""Test streaming tokens from huggingface_pipeline."""
llm = HuggingFacePipeline.from_model_id(
model_id="openai-community/gpt2",
task="text-gene... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/__init__.py | libs/partners/huggingface/langchain_huggingface/__init__.py | from langchain_huggingface.chat_models import (
ChatHuggingFace, # type: ignore[import-not-found]
)
from langchain_huggingface.embeddings import (
HuggingFaceEmbeddings,
HuggingFaceEndpointEmbeddings,
)
from langchain_huggingface.llms import (
HuggingFaceEndpoint,
HuggingFacePipeline,
)
__all__ = ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/chat_models/huggingface.py | libs/partners/huggingface/langchain_huggingface/chat_models/huggingface.py | """Hugging Face Chat Wrapper."""
from __future__ import annotations
import contextlib
import json
from collections.abc import AsyncIterator, Callable, Iterator, Mapping, Sequence
from dataclasses import dataclass
from operator import itemgetter
from typing import TYPE_CHECKING, Any, Literal, cast
if TYPE_CHECKING:
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/chat_models/__init__.py | libs/partners/huggingface/langchain_huggingface/chat_models/__init__.py | from langchain_huggingface.chat_models.huggingface import ( # type: ignore[import-not-found]
TGI_MESSAGE,
TGI_RESPONSE,
ChatHuggingFace,
_convert_dict_to_message,
)
__all__ = ["TGI_MESSAGE", "TGI_RESPONSE", "ChatHuggingFace", "_convert_dict_to_message"]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/tests/__init__.py | libs/partners/huggingface/langchain_huggingface/tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/tests/integration_tests/__init__.py | libs/partners/huggingface/langchain_huggingface/tests/integration_tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/utils/import_utils.py | libs/partners/huggingface/langchain_huggingface/utils/import_utils.py | from __future__ import annotations
import importlib.metadata
import importlib.util
import operator as op
from packaging import version
STR_OPERATION_TO_FUNC = {
">": op.gt,
">=": op.ge,
"==": op.eq,
"!=": op.ne,
"<=": op.le,
"<": op.lt,
}
_optimum_available = importlib.util.find_spec("optim... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/llms/huggingface_endpoint.py | libs/partners/huggingface/langchain_huggingface/llms/huggingface_endpoint.py | from __future__ import annotations
import inspect
import logging
import os
from collections.abc import AsyncIterator, Iterator, Mapping
from typing import Any
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
f... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/llms/huggingface_pipeline.py | libs/partners/huggingface/langchain_huggingface/llms/huggingface_pipeline.py | from __future__ import annotations # type: ignore[import-not-found]
import importlib.util
import logging
from collections.abc import Iterator, Mapping
from typing import Any
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import BaseLLM
from langchain_core.outpu... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/llms/__init__.py | libs/partners/huggingface/langchain_huggingface/llms/__init__.py | from langchain_huggingface.llms.huggingface_endpoint import (
HuggingFaceEndpoint, # type: ignore[import-not-found]
)
from langchain_huggingface.llms.huggingface_pipeline import HuggingFacePipeline
__all__ = [
"HuggingFaceEndpoint",
"HuggingFacePipeline",
]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/data/_profiles.py | libs/partners/huggingface/langchain_huggingface/data/_profiles.py | """Auto-generated model profiles.
DO NOT EDIT THIS FILE MANUALLY.
This file is generated by the langchain-profiles CLI tool.
It contains data derived from the models.dev project.
Source: https://github.com/sst/models.dev
License: MIT License
To update these data, refer to the instructions here:
https://docs.langch... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/data/__init__.py | libs/partners/huggingface/langchain_huggingface/data/__init__.py | """Model profile data. All edits should be made in profile_augmentations.toml."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/embeddings/huggingface_endpoint.py | libs/partners/huggingface/langchain_huggingface/embeddings/huggingface_endpoint.py | from __future__ import annotations
import os
from typing import Any
from langchain_core.embeddings import Embeddings
from langchain_core.utils import from_env
from pydantic import BaseModel, ConfigDict, Field, model_validator
from typing_extensions import Self
DEFAULT_MODEL = "sentence-transformers/all-mpnet-base-v2... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/embeddings/huggingface.py | libs/partners/huggingface/langchain_huggingface/embeddings/huggingface.py | from __future__ import annotations
from typing import Any
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict, Field
from langchain_huggingface.utils.import_utils import (
IMPORT_ERROR,
is_ipex_available,
is_optimum_intel_available,
is_optimum_intel_version,
)
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/huggingface/langchain_huggingface/embeddings/__init__.py | libs/partners/huggingface/langchain_huggingface/embeddings/__init__.py | from langchain_huggingface.embeddings.huggingface import (
HuggingFaceEmbeddings, # type: ignore[import-not-found]
)
from langchain_huggingface.embeddings.huggingface_endpoint import (
HuggingFaceEndpointEmbeddings,
)
__all__ = [
"HuggingFaceEmbeddings",
"HuggingFaceEndpointEmbeddings",
]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/scripts/check_imports.py | libs/partners/mistralai/scripts/check_imports.py | import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_failure = True
print(f... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/langchain_mistralai/chat_models.py | libs/partners/mistralai/langchain_mistralai/chat_models.py | from __future__ import annotations
import hashlib
import json
import logging
import os
import re
import ssl
import uuid
from collections.abc import Callable # noqa: TC003
from operator import itemgetter
from typing import (
TYPE_CHECKING,
Any,
Literal,
cast,
)
import certifi
import httpx
from httpx_s... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/langchain_mistralai/_compat.py | libs/partners/mistralai/langchain_mistralai/_compat.py | """Derivations of standard content blocks from mistral content."""
from __future__ import annotations
from langchain_core.messages import AIMessage, AIMessageChunk
from langchain_core.messages import content as types
from langchain_core.messages.block_translators import register_translator
def _convert_from_v1_to_m... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/langchain_mistralai/__init__.py | libs/partners/mistralai/langchain_mistralai/__init__.py | from langchain_mistralai.chat_models import ChatMistralAI
from langchain_mistralai.embeddings import MistralAIEmbeddings
__all__ = ["ChatMistralAI", "MistralAIEmbeddings"]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/langchain_mistralai/embeddings.py | libs/partners/mistralai/langchain_mistralai/embeddings.py | import asyncio
import logging
import warnings
from collections.abc import Callable, Iterable
import httpx
from httpx import Response
from langchain_core.embeddings import Embeddings
from langchain_core.utils import (
secret_from_env,
)
from pydantic import (
BaseModel,
ConfigDict,
Field,
SecretStr,... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/langchain_mistralai/data/_profiles.py | libs/partners/mistralai/langchain_mistralai/data/_profiles.py | """Auto-generated model profiles.
DO NOT EDIT THIS FILE MANUALLY.
This file is generated by the langchain-profiles CLI tool.
It contains data derived from the models.dev project.
Source: https://github.com/sst/models.dev
License: MIT License
To update these data, refer to the instructions here:
https://docs.langch... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/langchain_mistralai/data/__init__.py | libs/partners/mistralai/langchain_mistralai/data/__init__.py | """Model profile data. All edits should be made in profile_augmentations.toml."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/tests/__init__.py | libs/partners/mistralai/tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/tests/unit_tests/test_standard.py | libs/partners/mistralai/tests/unit_tests/test_standard.py | """Standard LangChain interface tests."""
from langchain_core.language_models import BaseChatModel
from langchain_tests.unit_tests import ( # type: ignore[import-not-found]
ChatModelUnitTests, # type: ignore[import-not-found]
)
from langchain_mistralai import ChatMistralAI
class TestMistralStandard(ChatModelU... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/tests/unit_tests/test_chat_models.py | libs/partners/mistralai/tests/unit_tests/test_chat_models.py | """Test MistralAI Chat API wrapper."""
import os
from collections.abc import AsyncGenerator, Generator
from typing import Any, cast
from unittest.mock import MagicMock, patch
import httpx
import pytest
from langchain_core.callbacks.base import BaseCallbackHandler
from langchain_core.messages import (
AIMessage,
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/tests/unit_tests/__init__.py | libs/partners/mistralai/tests/unit_tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/tests/unit_tests/test_imports.py | libs/partners/mistralai/tests/unit_tests/test_imports.py | from langchain_mistralai import __all__
EXPECTED_ALL = ["ChatMistralAI", "MistralAIEmbeddings"]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/tests/unit_tests/test_embeddings.py | libs/partners/mistralai/tests/unit_tests/test_embeddings.py | import os
from typing import cast
from pydantic import SecretStr
from langchain_mistralai import MistralAIEmbeddings
os.environ["MISTRAL_API_KEY"] = "foo"
def test_mistral_init() -> None:
for model in [
MistralAIEmbeddings(model="mistral-embed", mistral_api_key="test"), # type: ignore[call-arg]
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/tests/integration_tests/test_standard.py | libs/partners/mistralai/tests/integration_tests/test_standard.py | """Standard LangChain interface tests."""
import pytest
from langchain_core.language_models import BaseChatModel
from langchain_tests.integration_tests import ( # type: ignore[import-not-found]
ChatModelIntegrationTests, # type: ignore[import-not-found]
)
from langchain_mistralai import ChatMistralAI
class Te... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/tests/integration_tests/test_compile.py | libs/partners/mistralai/tests/integration_tests/test_compile.py | import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/tests/integration_tests/test_chat_models.py | libs/partners/mistralai/tests/integration_tests/test_chat_models.py | """Test ChatMistral chat model."""
from __future__ import annotations
import logging
import time
from typing import Any
import pytest
from httpx import ReadTimeout
from langchain_core.messages import AIMessageChunk, BaseMessageChunk
from pydantic import BaseModel
from typing_extensions import TypedDict
from langcha... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/tests/integration_tests/__init__.py | libs/partners/mistralai/tests/integration_tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/mistralai/tests/integration_tests/test_embeddings.py | libs/partners/mistralai/tests/integration_tests/test_embeddings.py | """Test MistralAI Embedding."""
from unittest.mock import patch
import httpx
import pytest
import tenacity
from langchain_mistralai import MistralAIEmbeddings
def test_mistralai_embedding_documents() -> None:
"""Test MistralAI embeddings for documents."""
documents = ["foo bar", "test document"]
embedd... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/scripts/check_imports.py | libs/partners/xai/scripts/check_imports.py | """This module checks if the given python files can be imported without error."""
import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_mo... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/tests/__init__.py | libs/partners/xai/tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/tests/unit_tests/test_secrets.py | libs/partners/xai/tests/unit_tests/test_secrets.py | from langchain_xai import ChatXAI
MODEL_NAME = "grok-4"
def test_chat_xai_secrets() -> None:
o = ChatXAI(model=MODEL_NAME, xai_api_key="foo") # type: ignore[call-arg]
s = str(o)
assert "foo" not in s
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/tests/unit_tests/test_chat_models_standard.py | libs/partners/xai/tests/unit_tests/test_chat_models_standard.py | """Standard LangChain interface tests"""
from langchain_core.language_models import BaseChatModel
from langchain_tests.unit_tests import ( # type: ignore[import-not-found]
ChatModelUnitTests, # type: ignore[import-not-found]
)
from langchain_xai import ChatXAI
MODEL_NAME = "grok-4"
class TestXAIStandard(Chat... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/tests/unit_tests/test_chat_models.py | libs/partners/xai/tests/unit_tests/test_chat_models.py | import json
import pytest # type: ignore[import-not-found]
from langchain_core.messages import (
AIMessage,
FunctionMessage,
HumanMessage,
SystemMessage,
ToolMessage,
)
from langchain_openai.chat_models.base import (
_convert_dict_to_message,
_convert_message_to_dict,
)
from langchain_xai... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/tests/unit_tests/__init__.py | libs/partners/xai/tests/unit_tests/__init__.py | import os
os.environ["XAI_API_KEY"] = "test"
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/tests/unit_tests/test_imports.py | libs/partners/xai/tests/unit_tests/test_imports.py | from langchain_xai import __all__
EXPECTED_ALL = ["ChatXAI"]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/tests/integration_tests/test_chat_models_standard.py | libs/partners/xai/tests/integration_tests/test_chat_models_standard.py | """Standard LangChain interface tests"""
from __future__ import annotations
from typing import TYPE_CHECKING
import pytest
from langchain_core.messages import AIMessage
from langchain_core.rate_limiters import InMemoryRateLimiter
from langchain_tests.integration_tests import ( # type: ignore[import-not-found]
C... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/tests/integration_tests/test_compile.py | libs/partners/xai/tests/integration_tests/test_compile.py | import pytest # type: ignore[import-not-found]
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/tests/integration_tests/test_chat_models.py | libs/partners/xai/tests/integration_tests/test_chat_models.py | """Integration tests for ChatXAI specific features."""
from __future__ import annotations
from typing import Literal
import pytest
from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessageChunk
from langchain_xai import ChatXAI
MODEL_NAME = "grok-4-fast-reasoning"
@pytest.mark.parametrize("outpu... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/tests/integration_tests/__init__.py | libs/partners/xai/tests/integration_tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/langchain_xai/chat_models.py | libs/partners/xai/langchain_xai/chat_models.py | """Wrapper around xAI's Chat Completions API."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Literal, TypeAlias, cast
import openai
from langchain_core.messages import AIMessageChunk
from langchain_core.utils import secret_from_env
from langchain_openai.chat_models.base import BaseChatO... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/langchain_xai/__init__.py | libs/partners/xai/langchain_xai/__init__.py | """LangChain integration with xAI."""
from langchain_xai.chat_models import ChatXAI
__all__ = ["ChatXAI"]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/langchain_xai/data/_profiles.py | libs/partners/xai/langchain_xai/data/_profiles.py | """Auto-generated model profiles.
DO NOT EDIT THIS FILE MANUALLY.
This file is generated by the langchain-profiles CLI tool.
It contains data derived from the models.dev project.
Source: https://github.com/sst/models.dev
License: MIT License
To update these data, refer to the instructions here:
https://docs.langch... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/xai/langchain_xai/data/__init__.py | libs/partners/xai/langchain_xai/data/__init__.py | """Model profile data. All edits should be made in profile_augmentations.toml."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/chroma/scripts/check_imports.py | libs/partners/chroma/scripts/check_imports.py | """This module checks if the given python files can be imported without error."""
import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_mo... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/chroma/tests/__init__.py | libs/partners/chroma/tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/chroma/tests/unit_tests/test_standard.py | libs/partners/chroma/tests/unit_tests/test_standard.py | from collections.abc import Generator
import pytest
from langchain_core.vectorstores import VectorStore
from langchain_tests.integration_tests.vectorstores import VectorStoreIntegrationTests
from pytest_benchmark.fixture import BenchmarkFixture # type: ignore[import-untyped]
from langchain_chroma import Chroma
cla... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/chroma/tests/unit_tests/test_vectorstores.py | libs/partners/chroma/tests/unit_tests/test_vectorstores.py | from langchain_core.embeddings.fake import (
FakeEmbeddings,
)
from langchain_chroma.vectorstores import Chroma
def test_initialization() -> None:
"""Test integration vectorstore initialization."""
texts = ["foo", "bar", "baz"]
Chroma.from_texts(
collection_name="test_collection",
tex... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/chroma/tests/unit_tests/__init__.py | libs/partners/chroma/tests/unit_tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/chroma/tests/unit_tests/test_imports.py | libs/partners/chroma/tests/unit_tests/test_imports.py | from langchain_chroma import __all__
EXPECTED_ALL = [
"Chroma",
]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/chroma/tests/integration_tests/fake_embeddings.py | libs/partners/chroma/tests/integration_tests/fake_embeddings.py | """Fake Embedding class for testing purposes."""
import math
from langchain_core.embeddings import Embeddings
fake_texts = ["foo", "bar", "baz"]
class FakeEmbeddings(Embeddings):
"""Fake embeddings functionality for testing."""
def embed_documents(self, texts: list[str]) -> list[list[float]]:
"""R... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/chroma/tests/integration_tests/test_vectorstores.py | libs/partners/chroma/tests/integration_tests/test_vectorstores.py | """Test Chroma functionality."""
import tempfile
import uuid
from pathlib import Path
from typing import (
cast,
)
import chromadb
import pytest # type: ignore[import-not-found]
import requests
from chromadb.api.client import SharedSystemClient
from chromadb.api.rust import RustBindingsAPI
from chromadb.api.type... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/chroma/tests/integration_tests/test_compile.py | libs/partners/chroma/tests/integration_tests/test_compile.py | import pytest # type: ignore[import-not-found]
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/chroma/tests/integration_tests/__init__.py | libs/partners/chroma/tests/integration_tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/chroma/langchain_chroma/vectorstores.py | libs/partners/chroma/langchain_chroma/vectorstores.py | """This is the langchain_chroma.vectorstores module.
It contains the Chroma class which is a vector store for handling various tasks.
"""
from __future__ import annotations
import base64
import logging
import uuid
from collections.abc import Callable, Iterable, Sequence
from pathlib import Path
from typing import (
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/chroma/langchain_chroma/__init__.py | libs/partners/chroma/langchain_chroma/__init__.py | """LangChain integration for Chroma vector database."""
from langchain_chroma.vectorstores import Chroma
__all__ = [
"Chroma",
]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/scripts/check_imports.py | libs/partners/prompty/scripts/check_imports.py | import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_failure = True
traceba... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/tests/__init__.py | libs/partners/prompty/tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/tests/unit_tests/fake_output_parser.py | libs/partners/prompty/tests/unit_tests/fake_output_parser.py | from langchain_classic.agents import AgentOutputParser
from langchain_core.agents import AgentAction, AgentFinish
def extract_action_details(text: str) -> tuple[str | None, str | None]:
# Split the text into lines and strip whitespace
lines = [line.strip() for line in text.strip().split("\n")]
# Initiali... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/tests/unit_tests/test_prompty_serialization.py | libs/partners/prompty/tests/unit_tests/test_prompty_serialization.py | import json
import os
from langchain_classic.agents.format_scratchpad import (
format_to_openai_function_messages,
)
from langchain_classic.tools import tool
from langchain_core.language_models import FakeListLLM
from langchain_core.messages import AIMessage, HumanMessage
from langchain_core.utils.function_calling... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/tests/unit_tests/test_templating.py | libs/partners/prompty/tests/unit_tests/test_templating.py | from pathlib import Path
import pytest
from langchain_prompty import create_chat_prompt
PROMPT_DIR = Path(__file__).parent / "prompts"
def test_double_templating() -> None:
"""
Assess whether double templating occurs when invoking a chat prompt.
If it does, an error is thrown and the test fails.
""... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/tests/unit_tests/test_standard.py | libs/partners/prompty/tests/unit_tests/test_standard.py | import pytest
from pytest_benchmark.fixture import BenchmarkFixture # type: ignore[import]
from langchain_prompty import create_chat_prompt
@pytest.mark.benchmark
def test_create_chat_prompt_init_time(benchmark: BenchmarkFixture) -> None:
"""Test create_chat_prompt initialization time."""
def _create_chat_... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/tests/unit_tests/__init__.py | libs/partners/prompty/tests/unit_tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/tests/unit_tests/fake_callback_handler.py | libs/partners/prompty/tests/unit_tests/fake_callback_handler.py | """A fake callback handler for testing purposes."""
from itertools import chain
from typing import Any
from uuid import UUID
from langchain_core.callbacks import AsyncCallbackHandler, BaseCallbackHandler
from langchain_core.messages import BaseMessage
from pydantic import BaseModel
class BaseFakeCallbackHandler(Bas... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/tests/unit_tests/fake_chat_model.py | libs/partners/prompty/tests/unit_tests/fake_chat_model.py | """Fake Chat Model wrapper for testing purposes."""
import json
from typing import Any
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.chat_models import SimpleChatModel
from langchain_core.messages import AIMessage, BaseMes... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/tests/unit_tests/test_imports.py | libs/partners/prompty/tests/unit_tests/test_imports.py | from langchain_prompty import __all__
EXPECTED_ALL = ["create_chat_prompt"]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/tests/unit_tests/prompts/__init__.py | libs/partners/prompty/tests/unit_tests/prompts/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/tests/integration_tests/test_compile.py | libs/partners/prompty/tests/integration_tests/test_compile.py | import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/tests/integration_tests/__init__.py | libs/partners/prompty/tests/integration_tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/langchain_prompty/parsers.py | libs/partners/prompty/langchain_prompty/parsers.py | import base64
import re
from langchain_core.messages import (
AIMessage,
BaseMessage,
FunctionMessage,
HumanMessage,
SystemMessage,
)
from pydantic import BaseModel
from .core import Invoker, Prompty, SimpleModel
class RoleMap:
_ROLE_MAP: dict[str, type[BaseMessage]] = {
"system": Sy... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/langchain_prompty/core.py | libs/partners/prompty/langchain_prompty/core.py | from __future__ import annotations
import abc
import json
import os
import re
from pathlib import Path
from typing import Any, Generic, Literal, TypeVar
import yaml
from pydantic import BaseModel, ConfigDict, Field, FilePath
T = TypeVar("T")
class SimpleModel(BaseModel, Generic[T]):
"""Simple model for a singl... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/langchain_prompty/utils.py | libs/partners/prompty/langchain_prompty/utils.py | import traceback
from pathlib import Path
from typing import Any
from .core import (
Frontmatter,
InvokerFactory,
ModelSettings,
Prompty,
PropertySettings,
SimpleModel,
TemplateSettings,
param_hoisting,
)
def load(prompt_path: str, configuration: str = "default") -> Prompty:
"""Lo... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/langchain_prompty/__init__.py | libs/partners/prompty/langchain_prompty/__init__.py | from langchain_prompty.core import InvokerFactory
from langchain_prompty.langchain import create_chat_prompt
from langchain_prompty.parsers import PromptyChatParser
from langchain_prompty.renderers import MustacheRenderer
InvokerFactory().register_renderer("mustache", MustacheRenderer)
InvokerFactory().register_parser... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/langchain_prompty/renderers.py | libs/partners/prompty/langchain_prompty/renderers.py | from langchain_core.utils import mustache
from pydantic import BaseModel
from .core import Invoker, Prompty, SimpleModel
class MustacheRenderer(Invoker):
"""Render a mustache template."""
def __init__(self, prompty: Prompty) -> None:
self.prompty = prompty
def invoke(self, data: BaseModel) -> B... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/prompty/langchain_prompty/langchain.py | libs/partners/prompty/langchain_prompty/langchain.py | from typing import Any
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain_core.runnables import Runnable, RunnableLambda
from .parsers import RoleMap
from .utils import load, prepare
def create_chat_prompt(
path: str,
input_name_agent_scratchpad: str = "agent_scratchpa... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/scripts/check_imports.py | libs/partners/groq/scripts/check_imports.py | """Check that all imports in a list of files succeed."""
import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exc... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/scripts/__init__.py | libs/partners/groq/scripts/__init__.py | """Scripts for Ollama partner integration."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/langchain_groq/chat_models.py | libs/partners/groq/langchain_groq/chat_models.py | """Groq Chat wrapper."""
from __future__ import annotations
import json
import warnings
from collections.abc import AsyncIterator, Callable, Iterator, Mapping, Sequence
from operator import itemgetter
from typing import Any, Literal, cast
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/langchain_groq/_compat.py | libs/partners/groq/langchain_groq/_compat.py | from __future__ import annotations
import json
from typing import Any, cast
from langchain_core.messages import content as types
def _convert_from_v1_to_groq(
content: list[types.ContentBlock],
model_provider: str | None,
) -> tuple[list[dict[str, Any] | str], dict]:
new_content: list = []
new_addit... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/langchain_groq/version.py | libs/partners/groq/langchain_groq/version.py | """Main entrypoint into package."""
from importlib import metadata
try:
__version__ = metadata.version(__package__)
except metadata.PackageNotFoundError:
# Case where package metadata is not available.
__version__ = ""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/langchain_groq/__init__.py | libs/partners/groq/langchain_groq/__init__.py | """Groq integration for LangChain."""
from langchain_groq.chat_models import ChatGroq
from langchain_groq.version import __version__
__all__ = ["ChatGroq", "__version__"]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/langchain_groq/data/_profiles.py | libs/partners/groq/langchain_groq/data/_profiles.py | """Auto-generated model profiles.
DO NOT EDIT THIS FILE MANUALLY.
This file is generated by the langchain-profiles CLI tool.
It contains data derived from the models.dev project.
Source: https://github.com/sst/models.dev
License: MIT License
To update these data, refer to the instructions here:
https://docs.langch... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/langchain_groq/data/__init__.py | libs/partners/groq/langchain_groq/data/__init__.py | """Model profile data. All edits should be made in profile_augmentations.toml."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/tests/conftest.py | libs/partners/groq/tests/conftest.py | from typing import Any
import pytest
from langchain_tests.conftest import CustomPersister, CustomSerializer, base_vcr_config
from vcr import VCR # type: ignore[import-untyped]
def remove_request_headers(request: Any) -> Any:
for k in request.headers:
request.headers[k] = "**REDACTED**"
return reques... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/tests/__init__.py | libs/partners/groq/tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/tests/unit_tests/test_standard.py | libs/partners/groq/tests/unit_tests/test_standard.py | """Standard LangChain interface tests."""
from langchain_core.language_models import BaseChatModel
from langchain_tests.unit_tests.chat_models import (
ChatModelUnitTests,
)
from langchain_groq import ChatGroq
class TestGroqStandard(ChatModelUnitTests):
"""Run ChatGroq on LangChain standard tests."""
@... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/tests/unit_tests/test_chat_models.py | libs/partners/groq/tests/unit_tests/test_chat_models.py | """Test Groq Chat API wrapper."""
import json
import os
from typing import Any
from unittest.mock import AsyncMock, MagicMock, patch
import langchain_core.load as lc_load
import pytest
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
FunctionMessage,
HumanMessage,
InvalidToolCall,
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/partners/groq/tests/unit_tests/__init__.py | libs/partners/groq/tests/unit_tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
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