From 4b99426a4f8d738c59ce782ecf9eb3fac8fc3c0b Mon Sep 17 00:00:00 2001 From: Bagatur Date: Tue, 3 Sep 2024 17:25:03 -0700 Subject: [PATCH 01/37] openai[patch]: add back azure embeddings api_version alias --- libs/partners/openai/langchain_openai/embeddings/azure.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/libs/partners/openai/langchain_openai/embeddings/azure.py b/libs/partners/openai/langchain_openai/embeddings/azure.py index 3725a766285..e5647d8b511 100644 --- a/libs/partners/openai/langchain_openai/embeddings/azure.py +++ b/libs/partners/openai/langchain_openai/embeddings/azure.py @@ -125,7 +125,8 @@ class AzureOpenAIEmbeddings(OpenAIEmbeddings): ) """Automatically inferred from env var `AZURE_OPENAI_API_KEY` if not provided.""" openai_api_version: Optional[str] = Field( - default_factory=from_env("OPENAI_API_VERSION", default="2023-05-15") + default_factory=from_env("OPENAI_API_VERSION", default="2023-05-15"), + alias="api_version", ) """Automatically inferred from env var `OPENAI_API_VERSION` if not provided. From c649b449d71efdde03a6d9b74e04029d62858c9f Mon Sep 17 00:00:00 2001 From: Tomaz Bratanic Date: Wed, 4 Sep 2024 22:15:43 +0900 Subject: [PATCH 02/37] =?UTF-8?q?Add=20the=20option=20to=20ignore=20struct?= =?UTF-8?q?ured=20output=20method=20to=20LLM=20graph=20transf=E2=80=A6=20(?= =?UTF-8?q?#26013)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Open source models like Llama3.1 have function calling, but it's not that great. Therefore, we introduce the option to ignore model's function calling and just use the prompt-based approach --- .../graph_transformers/llm.py | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/libs/experimental/langchain_experimental/graph_transformers/llm.py b/libs/experimental/langchain_experimental/graph_transformers/llm.py index 61997a8715d..24b8bff5d13 100644 --- a/libs/experimental/langchain_experimental/graph_transformers/llm.py +++ b/libs/experimental/langchain_experimental/graph_transformers/llm.py @@ -650,6 +650,10 @@ class LLMGraphTransformer: any relationship properties from text. Alternatively, a list of valid properties can be provided for the LLM to extract, restricting extraction to those specified. + ignore_tool_usage (bool): Indicates whether the transformer should + bypass the use of structured output functionality of the language model. + If set to True, the transformer will not use the language model's native + function calling capabilities to handle structured output. Defaults to False. Example: .. code-block:: python @@ -675,16 +679,18 @@ class LLMGraphTransformer: strict_mode: bool = True, node_properties: Union[bool, List[str]] = False, relationship_properties: Union[bool, List[str]] = False, + ignore_tool_usage: bool = False, ) -> None: self.allowed_nodes = allowed_nodes self.allowed_relationships = allowed_relationships self.strict_mode = strict_mode - self._function_call = True + self._function_call = not ignore_tool_usage # Check if the LLM really supports structured output - try: - llm.with_structured_output(_Graph) - except NotImplementedError: - self._function_call = False + if self._function_call: + try: + llm.with_structured_output(_Graph) + except NotImplementedError: + self._function_call = False if not self._function_call: if node_properties or relationship_properties: raise ValueError( From c8122372177305c964866691a8254cb99c3809d2 Mon Sep 17 00:00:00 2001 From: ZhangShenao <15201440436@163.com> Date: Wed, 4 Sep 2024 21:26:26 +0800 Subject: [PATCH 03/37] Improvement[Community] Improve args description in api doc of `DocArrayInMemorySearch` (#26024) - Add missing arg - Remove redundant arg --- .../langchain_community/vectorstores/docarray/in_memory.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/libs/community/langchain_community/vectorstores/docarray/in_memory.py b/libs/community/langchain_community/vectorstores/docarray/in_memory.py index 6abe0232e16..32fe95d9506 100644 --- a/libs/community/langchain_community/vectorstores/docarray/in_memory.py +++ b/libs/community/langchain_community/vectorstores/docarray/in_memory.py @@ -59,9 +59,7 @@ class DocArrayInMemorySearch(DocArrayIndex): embedding (Embeddings): Embedding function. metadatas (Optional[List[Dict[Any, Any]]]): Metadata for each text if it exists. Defaults to None. - metric (str): metric for exact nearest-neighbor search. - Can be one of: "cosine_sim", "euclidean_dist" and "sqeuclidean_dist". - Defaults to "cosine_sim". + **kwargs: Other keyword arguments to be passed to the from_params method. Returns: DocArrayInMemorySearch Vector Store From af11fbfbf6ae3fae9a2fd0cf6e51b4e8f38c4886 Mon Sep 17 00:00:00 2001 From: "Friso H. Kingma" Date: Wed, 4 Sep 2024 15:26:48 +0200 Subject: [PATCH 04/37] langchain_openai: Make sure the response from the async client in the astream method of ChatOpenAI is properly awaited in case of "include_response_headers=True" (#26031) - **Description:** This is a **one line change**. the `self.async_client.with_raw_response.create(**payload)` call is not properly awaited within the `_astream` method. In `_agenerate` this is done already, but likely forgotten in the other method. - **Issue:** Not applicable - **Dependencies:** No dependencies required. (If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.) --------- Co-authored-by: Chester Curme --- .../langchain_openai/chat_models/base.py | 2 +- .../chat_models/test_base.py | 36 +++++++++++++++++-- 2 files changed, 35 insertions(+), 3 deletions(-) diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py index 66b7e75edec..b67bcafe60d 100644 --- a/libs/partners/openai/langchain_openai/chat_models/base.py +++ b/libs/partners/openai/langchain_openai/chat_models/base.py @@ -757,7 +757,7 @@ class BaseChatOpenAI(BaseChatModel): ) return if self.include_response_headers: - raw_response = self.async_client.with_raw_response.create(**payload) + raw_response = await self.async_client.with_raw_response.create(**payload) response = raw_response.parse() base_generation_info = {"headers": dict(raw_response.headers)} else: diff --git a/libs/partners/openai/tests/integration_tests/chat_models/test_base.py b/libs/partners/openai/tests/integration_tests/chat_models/test_base.py index 2e235421f93..551588976c1 100644 --- a/libs/partners/openai/tests/integration_tests/chat_models/test_base.py +++ b/libs/partners/openai/tests/integration_tests/chat_models/test_base.py @@ -686,15 +686,47 @@ def test_openai_proxy() -> None: assert proxy.port == 8080 -def test_openai_response_headers_invoke() -> None: +def test_openai_response_headers() -> None: """Test ChatOpenAI response headers.""" chat_openai = ChatOpenAI(include_response_headers=True) - result = chat_openai.invoke("I'm Pickle Rick") + query = "I'm Pickle Rick" + result = chat_openai.invoke(query, max_tokens=10) headers = result.response_metadata["headers"] assert headers assert isinstance(headers, dict) assert "content-type" in headers + # Stream + full: Optional[BaseMessageChunk] = None + for chunk in chat_openai.stream(query, max_tokens=10): + full = chunk if full is None else full + chunk + assert isinstance(full, AIMessage) + headers = full.response_metadata["headers"] + assert headers + assert isinstance(headers, dict) + assert "content-type" in headers + + +async def test_openai_response_headers_async() -> None: + """Test ChatOpenAI response headers.""" + chat_openai = ChatOpenAI(include_response_headers=True) + query = "I'm Pickle Rick" + result = await chat_openai.ainvoke(query, max_tokens=10) + headers = result.response_metadata["headers"] + assert headers + assert isinstance(headers, dict) + assert "content-type" in headers + + # Stream + full: Optional[BaseMessageChunk] = None + async for chunk in chat_openai.astream(query, max_tokens=10): + full = chunk if full is None else full + chunk + assert isinstance(full, AIMessage) + headers = full.response_metadata["headers"] + assert headers + assert isinstance(headers, dict) + assert "content-type" in headers + def test_image_token_counting_jpeg() -> None: model = ChatOpenAI(model="gpt-4o", temperature=0) From 3ec93c2817a03eeb178602d05f84bb41bd49bff5 Mon Sep 17 00:00:00 2001 From: Bagatur Date: Wed, 4 Sep 2024 10:24:06 -0700 Subject: [PATCH 05/37] standard-tests[patch]: add Ser/Des test --- .../integration_template/pyproject.toml | 1 + libs/partners/airbyte/Makefile | 4 + libs/partners/anthropic/Makefile | 3 + libs/partners/anthropic/poetry.lock | 113 +- .../__snapshots__/test_standard.ambr | 69 + libs/partners/azure-dynamic-sessions/Makefile | 3 + libs/partners/box/Makefile | 3 + libs/partners/chroma/Makefile | 4 + libs/partners/couchbase/Makefile | 3 + libs/partners/exa/Makefile | 3 + libs/partners/fireworks/Makefile | 3 + libs/partners/fireworks/poetry.lock | 892 +++--- .../__snapshots__/test_standard.ambr | 67 + libs/partners/groq/Makefile | 3 + libs/partners/groq/poetry.lock | 432 +-- .../__snapshots__/test_standard.ambr | 66 + libs/partners/huggingface/Makefile | 3 + libs/partners/huggingface/poetry.lock | 2497 +++++++++-------- libs/partners/huggingface/pyproject.toml | 2 + libs/partners/milvus/Makefile | 3 + libs/partners/mistralai/Makefile | 4 + libs/partners/mistralai/poetry.lock | 91 +- libs/partners/mistralai/pyproject.toml | 1 + .../__snapshots__/test_standard.ambr | 86 + libs/partners/mongodb/Makefile | 3 + libs/partners/nomic/Makefile | 3 + libs/partners/ollama/Makefile | 4 + libs/partners/ollama/poetry.lock | 73 +- libs/partners/ollama/pyproject.toml | 1 + libs/partners/openai/Makefile | 3 + .../__snapshots__/test_azure_standard.ambr | 72 + .../__snapshots__/test_base_standard.ambr | 69 + libs/partners/pinecone/Makefile | 3 + libs/partners/prompty/Makefile | 3 + libs/partners/qdrant/Makefile | 4 + libs/partners/robocorp/Makefile | 3 + libs/partners/unstructured/Makefile | 3 + libs/partners/voyageai/Makefile | 3 + .../unit_tests/chat_models.py | 10 + libs/standard-tests/poetry.lock | 537 ++-- libs/standard-tests/pyproject.toml | 1 + 41 files changed, 3074 insertions(+), 2077 deletions(-) create mode 100644 libs/partners/anthropic/tests/unit_tests/__snapshots__/test_standard.ambr create mode 100644 libs/partners/fireworks/tests/unit_tests/__snapshots__/test_standard.ambr create mode 100644 libs/partners/groq/tests/unit_tests/__snapshots__/test_standard.ambr create mode 100644 libs/partners/mistralai/tests/unit_tests/__snapshots__/test_standard.ambr create mode 100644 libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_azure_standard.ambr create mode 100644 libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_base_standard.ambr diff --git a/libs/cli/langchain_cli/integration_template/pyproject.toml b/libs/cli/langchain_cli/integration_template/pyproject.toml index b8af44e74d1..4d129d5dbde 100644 --- a/libs/cli/langchain_cli/integration_template/pyproject.toml +++ b/libs/cli/langchain_cli/integration_template/pyproject.toml @@ -23,6 +23,7 @@ pytest = "^7.4.3" pytest-asyncio = "^0.23.2" pytest-socket = "^0.7.0" langchain-core = { path = "../../core", develop = true } +pytest-watcher = "^0.3.4" [tool.poetry.group.codespell] optional = true diff --git a/libs/partners/airbyte/Makefile b/libs/partners/airbyte/Makefile index 882b1da6eb7..82e64b38398 100644 --- a/libs/partners/airbyte/Makefile +++ b/libs/partners/airbyte/Makefile @@ -10,6 +10,10 @@ integration_test integration_tests: TEST_FILE = tests/integration_tests/ test tests integration_test integration_tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + + ###################### # LINTING AND FORMATTING ###################### diff --git a/libs/partners/anthropic/Makefile b/libs/partners/anthropic/Makefile index 7e3178d3d6b..7a32f31997a 100644 --- a/libs/partners/anthropic/Makefile +++ b/libs/partners/anthropic/Makefile @@ -10,6 +10,9 @@ integration_test integration_tests: TEST_FILE=tests/integration_tests/ test tests integration_test integration_tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + ###################### # LINTING AND FORMATTING diff --git a/libs/partners/anthropic/poetry.lock b/libs/partners/anthropic/poetry.lock index 3c8af4e4d6a..9e634572d73 100644 --- a/libs/partners/anthropic/poetry.lock +++ b/libs/partners/anthropic/poetry.lock @@ -16,13 +16,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""} [[package]] name = "anthropic" -version = "0.33.1" +version = "0.34.1" description = "The official Python library for the anthropic API" optional = false python-versions = ">=3.7" files = [ - {file = "anthropic-0.33.1-py3-none-any.whl", hash = "sha256:f9be363e5fd18cf0fa18d909d9907dcb27e2d434c696f7a4854b809c597d6f02"}, - {file = "anthropic-0.33.1.tar.gz", hash = "sha256:fc87290521a491db1a8bdb4041cbf4a0b326b6b452309846dbfa07d08c42c401"}, + {file = "anthropic-0.34.1-py3-none-any.whl", hash = "sha256:2fa26710809d0960d970f26cd0be3686437250a481edb95c33d837aa5fa24158"}, + {file = 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b/libs/partners/anthropic/tests/unit_tests/__snapshots__/test_standard.ambr @@ -0,0 +1,69 @@ +# serializer version: 1 +# name: TestAnthropicStandard.test_serdes[serialized] + dict({ + 'graph': dict({ + 'edges': list([ + dict({ + 'source': 0, + 'target': 1, + }), + dict({ + 'source': 1, + 'target': 2, + }), + ]), + 'nodes': list([ + dict({ + 'data': 'ChatAnthropicInput', + 'id': 0, + 'type': 'schema', + }), + dict({ + 'data': dict({ + 'id': list([ + 'langchain', + 'chat_models', + 'anthropic', + 'ChatAnthropic', + ]), + 'name': 'ChatAnthropic', + }), + 'id': 1, + 'type': 'runnable', + }), + dict({ + 'data': 'ChatAnthropicOutput', + 'id': 2, + 'type': 'schema', + }), + ]), + }), + 'id': list([ + 'langchain', + 'chat_models', + 'anthropic', + 'ChatAnthropic', + ]), + 'kwargs': dict({ + 'anthropic_api_key': dict({ + 'id': list([ + 'ANTHROPIC_API_KEY', + ]), + 'lc': 1, + 'type': 'secret', + }), + 'anthropic_api_url': 'https://api.anthropic.com', + 'default_request_timeout': 60.0, + 'max_retries': 2, + 'max_tokens': 100, + 'model': 'claude-3-haiku-20240307', + 'stop_sequences': list([ + ]), + 'stream_usage': True, + 'temperature': 0.0, + }), + 'lc': 1, + 'name': 'ChatAnthropic', + 'type': 'constructor', + }) +# --- diff --git a/libs/partners/azure-dynamic-sessions/Makefile b/libs/partners/azure-dynamic-sessions/Makefile index fca7d1ae25a..ee56a8b930e 100644 --- a/libs/partners/azure-dynamic-sessions/Makefile +++ b/libs/partners/azure-dynamic-sessions/Makefile @@ -12,6 +12,9 @@ test: tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + ###################### # LINTING AND FORMATTING diff --git a/libs/partners/box/Makefile b/libs/partners/box/Makefile index 2ecf3f3a156..5b66a13edfe 100644 --- a/libs/partners/box/Makefile +++ b/libs/partners/box/Makefile @@ -12,6 +12,9 @@ integration_test integration_tests: TEST_FILE = tests/integration_tests/ test tests: poetry run pytest --disable-socket --allow-unix-socket $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + # integration tests are run without the --disable-socket flag to allow network calls integration_test integration_tests: poetry run pytest $(TEST_FILE) diff --git a/libs/partners/chroma/Makefile b/libs/partners/chroma/Makefile index 45b2faafa84..3f635f57498 100644 --- a/libs/partners/chroma/Makefile +++ b/libs/partners/chroma/Makefile @@ -10,6 +10,10 @@ integration_test integration_tests: TEST_FILE = tests/integration_tests/ test tests integration_test integration_tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + + ###################### # LINTING AND FORMATTING diff --git a/libs/partners/couchbase/Makefile b/libs/partners/couchbase/Makefile index 2d85a7d8307..5273eff7052 100644 --- a/libs/partners/couchbase/Makefile +++ b/libs/partners/couchbase/Makefile @@ -12,6 +12,9 @@ integration_test integration_tests: TEST_FILE = tests/integration_tests/ test tests: poetry run pytest --disable-socket --allow-unix-socket $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + # integration tests are run without the --disable-socket flag to allow network calls integration_test integration_tests: poetry run pytest $(TEST_FILE) diff --git a/libs/partners/exa/Makefile b/libs/partners/exa/Makefile index ede92c03c5e..438e316ecbc 100644 --- a/libs/partners/exa/Makefile +++ b/libs/partners/exa/Makefile @@ -14,6 +14,9 @@ test integration_tests: tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + ###################### # LINTING AND FORMATTING diff --git a/libs/partners/fireworks/Makefile b/libs/partners/fireworks/Makefile index 92abd753eac..4b2ef400f1c 100644 --- a/libs/partners/fireworks/Makefile +++ b/libs/partners/fireworks/Makefile @@ -10,6 +10,9 @@ integration_test integration_tests: TEST_FILE = 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'target': 2, + }), + ]), + 'nodes': list([ + dict({ + 'data': 'ChatFireworksInput', + 'id': 0, + 'type': 'schema', + }), + dict({ + 'data': dict({ + 'id': list([ + 'langchain', + 'chat_models', + 'fireworks', + 'ChatFireworks', + ]), + 'name': 'ChatFireworks', + }), + 'id': 1, + 'type': 'runnable', + }), + dict({ + 'data': 'ChatFireworksOutput', + 'id': 2, + 'type': 'schema', + }), + ]), + }), + 'id': list([ + 'langchain', + 'chat_models', + 'fireworks', + 'ChatFireworks', + ]), + 'kwargs': dict({ + 'fireworks_api_key': dict({ + 'id': list([ + 'FIREWORKS_API_KEY', + ]), + 'lc': 1, + 'type': 'secret', + }), + 'max_retries': 2, + 'max_tokens': 100, + 'model_name': 'accounts/fireworks/models/mixtral-8x7b-instruct', + 'n': 1, + 'request_timeout': 60.0, + 'stop': list([ + ]), + }), + 'lc': 1, + 'name': 'ChatFireworks', + 'type': 'constructor', + }) +# --- diff --git a/libs/partners/groq/Makefile b/libs/partners/groq/Makefile index ad229fe8f2f..3ab3161a837 100644 --- 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dict({ + 'data': 'ChatGroqOutput', + 'id': 2, + 'type': 'schema', + }), + ]), + }), + 'id': list([ + 'langchain_groq', + 'chat_models', + 'ChatGroq', + ]), + 'kwargs': dict({ + 'groq_api_key': dict({ + 'id': list([ + 'GROQ_API_KEY', + ]), + 'lc': 1, + 'type': 'secret', + }), + 'max_retries': 2, + 'max_tokens': 100, + 'model_name': 'mixtral-8x7b-32768', + 'n': 1, + 'request_timeout': 60.0, + 'stop': list([ + ]), + 'temperature': 1e-08, + }), + 'lc': 1, + 'name': 'ChatGroq', + 'type': 'constructor', + }) +# --- diff --git a/libs/partners/huggingface/Makefile b/libs/partners/huggingface/Makefile index 26c79bf1230..62ab3e92260 100644 --- a/libs/partners/huggingface/Makefile +++ b/libs/partners/huggingface/Makefile @@ -11,6 +11,9 @@ integration_test integration_tests: TEST_FILE=tests/integration_tests/ test tests integration_test integration_tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + ###################### # LINTING 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--snapshot-update --now . -- -vv $(TEST_FILE) + ###################### # LINTING AND FORMATTING diff --git a/libs/partners/mistralai/Makefile b/libs/partners/mistralai/Makefile index 933e0be7156..5ace7c176ff 100644 --- a/libs/partners/mistralai/Makefile +++ b/libs/partners/mistralai/Makefile @@ -12,6 +12,10 @@ integration_test integration_tests: TEST_FILE=$(INTEGRATION_TEST_FILE) test tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + + integration_test integration_tests: poetry run pytest $(TEST_FILE) diff --git a/libs/partners/mistralai/poetry.lock b/libs/partners/mistralai/poetry.lock index c52c780aca6..28cdf8c1934 100644 --- a/libs/partners/mistralai/poetry.lock +++ b/libs/partners/mistralai/poetry.lock @@ -206,13 +206,13 @@ typing = ["typing-extensions (>=4.8)"] [[package]] name = "fsspec" -version = "2024.6.1" +version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" 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"sha256:af00ca52c7be22dc34c0fd3d7ffef99057207a73b05dc5161fe3b2fe91f58130"}, + {file = "pytest_watcher-0.3.5.tar.gz", hash = "sha256:8896152460ba2b1a8200c12117c6611008ec96c8b2d811f0a05ab8a82b043ff8"}, +] + +[package.dependencies] +tomli = {version = ">=2.0.1,<3.0.0", markers = "python_version < \"3.11\""} +watchdog = ">=2.0.0" + [[package]] name = "pyyaml" version = "6.0.2" @@ -889,6 +905,20 @@ files = [ {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, ] +[[package]] +name = "syrupy" +version = "4.7.1" +description = "Pytest Snapshot Test Utility" +optional = false +python-versions = ">=3.8.1" +files = [ + {file = "syrupy-4.7.1-py3-none-any.whl", hash = "sha256:be002267a512a4bedddfae2e026c93df1ea928ae10baadc09640516923376d41"}, + {file = "syrupy-4.7.1.tar.gz", hash = "sha256:f9d4485f3f27d0e5df6ed299cac6fa32eb40a441915d988e82be5a4bdda335c8"}, +] + +[package.dependencies] +pytest = ">=7.0.0,<9.0.0" + [[package]] name = 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6da683eb31c..22dff1ef866 100644 --- a/libs/partners/mistralai/pyproject.toml +++ b/libs/partners/mistralai/pyproject.toml @@ -54,6 +54,7 @@ optional = true [tool.poetry.group.test.dependencies] pytest = "^7.3.0" pytest-asyncio = "^0.21.1" +pytest-watcher = "^0.3.4" [tool.poetry.group.test_integration.dependencies] diff --git a/libs/partners/mistralai/tests/unit_tests/__snapshots__/test_standard.ambr b/libs/partners/mistralai/tests/unit_tests/__snapshots__/test_standard.ambr new file mode 100644 index 00000000000..16389a8d9da --- /dev/null +++ b/libs/partners/mistralai/tests/unit_tests/__snapshots__/test_standard.ambr @@ -0,0 +1,86 @@ +# serializer version: 1 +# name: TestMistralStandard.test_serdes[serialized] + dict({ + 'graph': dict({ + 'edges': list([ + dict({ + 'source': 0, + 'target': 1, + }), + dict({ + 'source': 1, + 'target': 2, + }), + ]), + 'nodes': list([ + dict({ + 'data': 'ChatMistralAIInput', + 'id': 0, + 'type': 'schema', + }), + dict({ + 'data': dict({ + 'id': list([ + 'langchain', + 'chat_models', + 'mistralai', + 'ChatMistralAI', + ]), + 'name': 'ChatMistralAI', + }), + 'id': 1, + 'type': 'runnable', + }), + dict({ + 'data': 'ChatMistralAIOutput', + 'id': 2, + 'type': 'schema', + }), + ]), + }), + 'id': list([ + 'langchain', + 'chat_models', + 'mistralai', + 'ChatMistralAI', + ]), + 'kwargs': dict({ + 'async_client': dict({ + 'id': list([ + 'httpx', + 'AsyncClient', + ]), + 'lc': 1, + 'repr': '', + 'type': 'not_implemented', + }), + 'client': dict({ + 'id': list([ + 'httpx', + 'Client', + ]), + 'lc': 1, + 'repr': '', + 'type': 'not_implemented', + }), + 'endpoint': 'boo', + 'max_concurrent_requests': 64, + 'max_retries': 2, + 'max_tokens': 100, + 'mistral_api_key': dict({ + 'id': list([ + 'MISTRAL_API_KEY', + ]), + 'lc': 1, + 'type': 'secret', + }), + 'model': 'mistral-small', + 'temperature': 0.0, + 'timeout': 60, + 'top_p': 1, + }), + 'lc': 1, + 'name': 'ChatMistralAI', + 'type': 'constructor', + }) +# --- diff --git a/libs/partners/mongodb/Makefile b/libs/partners/mongodb/Makefile index 606ff36f4b0..63fc9d46f0e 100644 --- a/libs/partners/mongodb/Makefile +++ b/libs/partners/mongodb/Makefile @@ -10,6 +10,9 @@ integration_test integration_tests: TEST_FILE=tests/integration_tests/ test tests integration_test integration_tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + ###################### # LINTING AND FORMATTING diff --git a/libs/partners/nomic/Makefile b/libs/partners/nomic/Makefile index d7f5f71aea3..4bc3498c2e1 100644 --- a/libs/partners/nomic/Makefile +++ b/libs/partners/nomic/Makefile @@ -14,6 +14,9 @@ test integration_tests: tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + ###################### # LINTING AND FORMATTING diff --git a/libs/partners/ollama/Makefile b/libs/partners/ollama/Makefile index 239375a21c0..997bc2a6537 100644 --- a/libs/partners/ollama/Makefile +++ b/libs/partners/ollama/Makefile @@ -14,6 +14,10 @@ integration_test: TEST_FILE = tests/integration_tests/ test tests: poetry run pytest --disable-socket --allow-unix-socket $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + + # integration tests are run without the --disable-socket flag to allow network calls integration_test: poetry run pytest $(TEST_FILE) diff --git a/libs/partners/ollama/poetry.lock b/libs/partners/ollama/poetry.lock index 0e54aad2ab1..111a0d0cac0 100644 --- a/libs/partners/ollama/poetry.lock +++ b/libs/partners/ollama/poetry.lock @@ -294,7 +294,7 @@ files = [ [[package]] name = "langchain-core" -version = "0.2.37" +version = "0.2.38" description = "Building applications with LLMs through composability" optional = false python-versions = ">=3.8.1,<4.0" @@ -330,6 +330,7 @@ develop = true httpx = "^0.27.0" langchain-core = ">=0.1.40,<0.3" pytest = ">=7,<9" +syrupy = "^4" [package.source] type = "directory" @@ -337,13 +338,13 @@ url = "../../standard-tests" [[package]] name = "langsmith" -version = "0.1.107" +version = "0.1.111" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langsmith-0.1.107-py3-none-any.whl", hash = "sha256:ddd0c846980474e271a553e9c220122e32d1f2ce877cc87d39ecd86726b9e78c"}, - {file = "langsmith-0.1.107.tar.gz", hash = "sha256:f44de0a5f199381d0b518ecbe295d541c44ff33d13f18098ecc54a4547eccb3f"}, + {file = "langsmith-0.1.111-py3-none-any.whl", hash = "sha256:e5c702764911193c9812fe55136ae01cd0b9ddf5dff0b068ce6fd60eeddbcb40"}, + {file = "langsmith-0.1.111.tar.gz", hash = "sha256:bab24fd6125685f588d682693c4a3253e163804242829b1ff902e1a3e984a94c"}, ] [package.dependencies] @@ -696,6 +697,21 @@ files = [ [package.dependencies] pytest = ">=6.2.5" +[[package]] +name = "pytest-watcher" +version = "0.3.5" +description = "Automatically rerun your tests 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hash = "sha256:b4dfbb6c49221be4535623ea4474a4d6ee0a9cef4a80b20c28db4d858b64e270"}, +] + +[package.extras] +watchmedo = ["PyYAML (>=3.10)"] + [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "0de4df1fb448399e93be5924717c1cb7ec3a0c8255951878020844c28bfb7b5e" +content-hash = "0925cde82a8efa9d231b32cd29cacd6a6b5acdddad98a4577b796e2c6be1977b" diff --git a/libs/partners/ollama/pyproject.toml b/libs/partners/ollama/pyproject.toml index 27efbdeb093..8a360961377 100644 --- a/libs/partners/ollama/pyproject.toml +++ b/libs/partners/ollama/pyproject.toml @@ -54,6 +54,7 @@ pytest = "^7.4.3" pytest-asyncio = "^0.23.2" syrupy = "^4.0.2" pytest-socket = "^0.7.0" +pytest-watcher = "^0.3.4" [tool.poetry.group.codespell.dependencies] codespell = "^2.2.6" diff --git a/libs/partners/openai/Makefile b/libs/partners/openai/Makefile index 69b2dfe885c..28b03e388ad 100644 --- a/libs/partners/openai/Makefile +++ b/libs/partners/openai/Makefile @@ -11,6 +11,9 @@ integration_test integration_tests: TEST_FILE=tests/integration_tests/ test tests integration_test integration_tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + ###################### # LINTING AND FORMATTING diff --git a/libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_azure_standard.ambr b/libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_azure_standard.ambr new file mode 100644 index 00000000000..982c80d816f --- /dev/null +++ b/libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_azure_standard.ambr @@ -0,0 +1,72 @@ +# serializer version: 1 +# name: TestOpenAIStandard.test_serdes[serialized] + dict({ + 'graph': dict({ + 'edges': list([ + dict({ + 'source': 0, + 'target': 1, + }), + dict({ + 'source': 1, + 'target': 2, + }), + ]), + 'nodes': list([ + dict({ + 'data': 'AzureChatOpenAIInput', + 'id': 0, + 'type': 'schema', + }), + dict({ + 'data': dict({ + 'id': list([ + 'langchain', + 'chat_models', + 'azure_openai', + 'AzureChatOpenAI', + ]), + 'name': 'AzureChatOpenAI', + }), + 'id': 1, + 'type': 'runnable', + }), + dict({ + 'data': 'AzureChatOpenAIOutput', + 'id': 2, + 'type': 'schema', + }), + ]), + }), + 'id': list([ + 'langchain', + 'chat_models', + 'azure_openai', + 'AzureChatOpenAI', + ]), + 'kwargs': dict({ + 'azure_endpoint': 'https://test.azure.com', + 'deployment_name': 'test', + 'max_retries': 2, + 'max_tokens': 100, + 'n': 1, + 'openai_api_key': dict({ + 'id': list([ + 'AZURE_OPENAI_API_KEY', + ]), + 'lc': 1, + 'type': 'secret', + }), + 'openai_api_type': 'azure', + 'openai_api_version': '2021-10-01', + 'request_timeout': 60.0, + 'stop': list([ + ]), + 'temperature': 0.0, + 'validate_base_url': True, + }), + 'lc': 1, + 'name': 'AzureChatOpenAI', + 'type': 'constructor', + }) +# --- diff --git a/libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_base_standard.ambr b/libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_base_standard.ambr new file mode 100644 index 00000000000..02e27256e5b --- /dev/null +++ b/libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_base_standard.ambr @@ -0,0 +1,69 @@ +# serializer version: 1 +# name: TestOpenAIStandard.test_serdes[serialized] + dict({ + 'graph': dict({ + 'edges': list([ + dict({ + 'source': 0, + 'target': 1, + }), + dict({ + 'source': 1, + 'target': 2, + }), + ]), + 'nodes': list([ + dict({ + 'data': 'ChatOpenAIInput', + 'id': 0, + 'type': 'schema', + }), + dict({ + 'data': dict({ + 'id': list([ + 'langchain', + 'chat_models', + 'openai', + 'ChatOpenAI', + ]), + 'name': 'ChatOpenAI', + }), + 'id': 1, + 'type': 'runnable', + }), + dict({ + 'data': 'ChatOpenAIOutput', + 'id': 2, + 'type': 'schema', + }), + ]), + }), + 'id': list([ + 'langchain', + 'chat_models', + 'openai', + 'ChatOpenAI', + ]), + 'kwargs': dict({ + 'max_retries': 2, + 'max_tokens': 100, + 'model_name': 'gpt-3.5-turbo', + 'n': 1, + 'openai_api_key': dict({ + 'id': list([ + 'OPENAI_API_KEY', + ]), + 'lc': 1, + 'type': 'secret', + }), + 'openai_proxy': '', + 'request_timeout': 60.0, + 'stop': list([ + ]), + 'temperature': 0.0, + }), + 'lc': 1, + 'name': 'ChatOpenAI', + 'type': 'constructor', + }) +# --- diff --git a/libs/partners/pinecone/Makefile b/libs/partners/pinecone/Makefile index add7932dd09..d2f1c9265f7 100644 --- a/libs/partners/pinecone/Makefile +++ b/libs/partners/pinecone/Makefile @@ -10,6 +10,9 @@ integration_test integration_tests: TEST_FILE = tests/integration_tests/ test tests integration_test integration_tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + ###################### # LINTING AND FORMATTING diff --git a/libs/partners/prompty/Makefile b/libs/partners/prompty/Makefile index 649b9bf4791..a598781fa61 100644 --- a/libs/partners/prompty/Makefile +++ b/libs/partners/prompty/Makefile @@ -12,6 +12,9 @@ test: tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + ###################### # LINTING AND FORMATTING diff --git a/libs/partners/qdrant/Makefile b/libs/partners/qdrant/Makefile index e31881f5a44..ffab929526b 100644 --- a/libs/partners/qdrant/Makefile +++ b/libs/partners/qdrant/Makefile @@ -11,6 +11,10 @@ integration_test integration_tests: TEST_FILE = tests/integration_tests/ test tests integration_test integration_tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + + ###################### # LINTING AND FORMATTING diff --git a/libs/partners/robocorp/Makefile b/libs/partners/robocorp/Makefile index fac650e5f35..3153282b299 100644 --- a/libs/partners/robocorp/Makefile +++ b/libs/partners/robocorp/Makefile @@ -10,6 +10,9 @@ integration_test integration_tests: TEST_FILE=tests/integration_tests/ test tests integration_test integration_tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + ###################### # LINTING AND FORMATTING diff --git a/libs/partners/unstructured/Makefile b/libs/partners/unstructured/Makefile index 1b03b8e76f3..84cfd530381 100644 --- a/libs/partners/unstructured/Makefile +++ b/libs/partners/unstructured/Makefile @@ -12,6 +12,9 @@ integration_test integration_tests: TEST_FILE = tests/integration_tests/ test tests: poetry run pytest --disable-socket --allow-unix-socket $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + # integration tests are run without the --disable-socket flag to allow network calls integration_test: poetry run pytest $(TEST_FILE) diff --git a/libs/partners/voyageai/Makefile b/libs/partners/voyageai/Makefile index f0e6f96ea6b..0d2d194ce04 100644 --- a/libs/partners/voyageai/Makefile +++ b/libs/partners/voyageai/Makefile @@ -10,6 +10,9 @@ integration_test integration_tests: TEST_FILE=tests/integration_tests/ test tests integration_test integration_tests: poetry run pytest $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + ###################### # LINTING AND FORMATTING diff --git a/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py b/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py index f3a49b6c341..6ad014bab3f 100644 --- a/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py +++ b/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py @@ -5,7 +5,10 @@ from typing import Any, List, Literal, Optional, Tuple, Type from unittest import mock import pytest +from syrupy import SnapshotAssertion + from langchain_core.language_models import BaseChatModel +from langchain_core.load import dumpd, load from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr from langchain_core.runnables import RunnableBinding from langchain_core.tools import tool @@ -224,3 +227,10 @@ class ChatModelUnitTests(ChatModelTests): ExpectedParams(**ls_params) except ValidationError as e: pytest.fail(f"Validation error: {e}") + + def test_serdes(self, model: BaseChatModel, snapshot: SnapshotAssertion) -> None: + if not self.chat_model_class.is_lc_serializable(): + return + ser = dumpd(model) + assert ser == snapshot(name="serialized") + assert model.dict() == load(dumpd(model)).dict() diff --git a/libs/standard-tests/poetry.lock b/libs/standard-tests/poetry.lock index f0c71bc8867..bee65170c6c 100644 --- a/libs/standard-tests/poetry.lock +++ b/libs/standard-tests/poetry.lock @@ -1,14 +1,14 @@ -# 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. 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"2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "fe8e04975482a0f8e67d07d186c401de1d321068dd1e595c836b156f7c4fcd9c" +content-hash = "116b117030bb7084399b2157a0b2b8fa5facffd53df8a5f7dea62263cd18349b" diff --git a/libs/standard-tests/pyproject.toml b/libs/standard-tests/pyproject.toml index 7b8a230f611..9e9693d413e 100644 --- a/libs/standard-tests/pyproject.toml +++ b/libs/standard-tests/pyproject.toml @@ -15,6 +15,7 @@ python = ">=3.8.1,<4.0" langchain-core = ">=0.1.40,<0.3" pytest = ">=7,<9" httpx = "^0.27.0" +syrupy = "^4" [tool.poetry.group.test] optional = true From 7bf54636ff75a8c1bc9899abc084927b36745126 Mon Sep 17 00:00:00 2001 From: Bagatur Date: Wed, 4 Sep 2024 10:24:42 -0700 Subject: [PATCH 06/37] make --- libs/cli/langchain_cli/integration_template/Makefile | 3 +++ 1 file changed, 3 insertions(+) diff --git a/libs/cli/langchain_cli/integration_template/Makefile b/libs/cli/langchain_cli/integration_template/Makefile index 81124d8c32a..b30039ace1f 100644 --- a/libs/cli/langchain_cli/integration_template/Makefile +++ b/libs/cli/langchain_cli/integration_template/Makefile @@ -12,6 +12,9 @@ integration_test integration_tests: TEST_FILE = tests/integration_tests/ test tests: poetry run pytest --disable-socket --allow-unix-socket $(TEST_FILE) +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + # integration tests are run without the --disable-socket flag to allow network calls integration_test integration_tests: poetry run pytest $(TEST_FILE) From 576574c82c21ce3019c05f627b6bf08333d255b2 Mon Sep 17 00:00:00 2001 From: Bagatur Date: Wed, 4 Sep 2024 11:05:36 -0700 Subject: [PATCH 07/37] fmt --- libs/core/langchain_core/load/load.py | 1 + libs/core/langchain_core/load/mapping.py | 10 ++++++++++ .../langchain_mistralai/chat_models.py | 4 ++-- .../__snapshots__/test_standard.ambr | 18 ------------------ 4 files changed, 13 insertions(+), 20 deletions(-) diff --git a/libs/core/langchain_core/load/load.py b/libs/core/langchain_core/load/load.py index f7db2ff6f02..fb6e3ec2a1d 100644 --- a/libs/core/langchain_core/load/load.py +++ b/libs/core/langchain_core/load/load.py @@ -17,6 +17,7 @@ DEFAULT_NAMESPACES = [ "langchain_core", "langchain_community", "langchain_anthropic", + "langchain_groq", ] ALL_SERIALIZABLE_MAPPINGS = { diff --git a/libs/core/langchain_core/load/mapping.py b/libs/core/langchain_core/load/mapping.py index 84c3878c5d8..c884d65ac55 100644 --- a/libs/core/langchain_core/load/mapping.py +++ b/libs/core/langchain_core/load/mapping.py @@ -271,6 +271,11 @@ SERIALIZABLE_MAPPING: Dict[Tuple[str, ...], Tuple[str, ...]] = { "chat_models", "ChatAnthropic", ), + ("langchain_groq", "chat_models", "ChatGroq"): ( + "langchain_groq", + "chat_models", + "ChatGroq" + ), ("langchain", "chat_models", "fireworks", "ChatFireworks"): ( "langchain_fireworks", "chat_models", @@ -287,6 +292,11 @@ SERIALIZABLE_MAPPING: Dict[Tuple[str, ...], Tuple[str, ...]] = { "chat_models", "ChatVertexAI", ), + ("langchain", "chat_models", "mistralai", "ChatMistralAI"): ( + "langchain_mistralai", + "chat_models", + "ChatMistralAI", + ), ("langchain", "schema", "output", "ChatGenerationChunk"): ( "langchain_core", "outputs", diff --git a/libs/partners/mistralai/langchain_mistralai/chat_models.py b/libs/partners/mistralai/langchain_mistralai/chat_models.py index 06ee230d1f6..6a497bf91f0 100644 --- a/libs/partners/mistralai/langchain_mistralai/chat_models.py +++ b/libs/partners/mistralai/langchain_mistralai/chat_models.py @@ -359,8 +359,8 @@ def _convert_message_to_mistral_chat_message( class ChatMistralAI(BaseChatModel): """A chat model that uses the MistralAI API.""" - client: httpx.Client = Field(default=None) #: :meta private: - async_client: httpx.AsyncClient = Field(default=None) #: :meta private: + client: httpx.Client = Field(default=None, exclude=True) #: :meta private: + async_client: httpx.AsyncClient = Field(default=None, exclude=True) #: :meta private: mistral_api_key: Optional[SecretStr] = Field( alias="api_key", default_factory=secret_from_env("MISTRAL_API_KEY", default=None), diff --git a/libs/partners/mistralai/tests/unit_tests/__snapshots__/test_standard.ambr b/libs/partners/mistralai/tests/unit_tests/__snapshots__/test_standard.ambr index 16389a8d9da..75bdad2decf 100644 --- a/libs/partners/mistralai/tests/unit_tests/__snapshots__/test_standard.ambr +++ b/libs/partners/mistralai/tests/unit_tests/__snapshots__/test_standard.ambr @@ -45,24 +45,6 @@ 'ChatMistralAI', ]), 'kwargs': dict({ - 'async_client': dict({ - 'id': list([ - 'httpx', - 'AsyncClient', - ]), - 'lc': 1, - 'repr': '', - 'type': 'not_implemented', - }), - 'client': dict({ - 'id': list([ - 'httpx', - 'Client', - ]), - 'lc': 1, - 'repr': '', - 'type': 'not_implemented', - }), 'endpoint': 'boo', 'max_concurrent_requests': 64, 'max_retries': 2, From fdf6fbde186b231a9fc0e5bfde163db882864316 Mon Sep 17 00:00:00 2001 From: Bagatur Date: Wed, 4 Sep 2024 11:12:11 -0700 Subject: [PATCH 08/37] fmt --- .../unit_tests/chat_models.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py b/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py index 6ad014bab3f..1d7444ee4ba 100644 --- a/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py +++ b/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py @@ -5,13 +5,12 @@ from typing import Any, List, Literal, Optional, Tuple, Type from unittest import mock import pytest -from syrupy import SnapshotAssertion - from langchain_core.language_models import BaseChatModel from langchain_core.load import dumpd, load from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr from langchain_core.runnables import RunnableBinding from langchain_core.tools import tool +from syrupy import SnapshotAssertion from langchain_standard_tests.base import BaseStandardTests from langchain_standard_tests.utils.pydantic import PYDANTIC_MAJOR_VERSION @@ -231,6 +230,8 @@ class ChatModelUnitTests(ChatModelTests): def test_serdes(self, model: BaseChatModel, snapshot: SnapshotAssertion) -> None: if not self.chat_model_class.is_lc_serializable(): return - ser = dumpd(model) - assert ser == snapshot(name="serialized") - assert model.dict() == load(dumpd(model)).dict() + env_params, model_params, expected_attrs = self.init_from_env_params + with mock.patch.dict(os.environ, env_params): + ser = dumpd(model) + assert ser == snapshot(name="serialized") + assert model.dict() == load(dumpd(model)).dict() From dba308447d0e18578fbcbf3adfbbeb5d8789c7fe Mon Sep 17 00:00:00 2001 From: Bagatur Date: Wed, 4 Sep 2024 11:28:04 -0700 Subject: [PATCH 09/37] fmt --- .../tests/unit_tests/load/test_serializable.py | 10 ++++++++++ libs/core/langchain_core/load/mapping.py | 2 +- .../fireworks/tests/unit_tests/test_standard.py | 6 +++++- .../mistralai/langchain_mistralai/chat_models.py | 4 +++- .../chat_models/__snapshots__/test_azure_standard.ambr | 7 +++++++ 5 files changed, 26 insertions(+), 3 deletions(-) diff --git a/libs/community/tests/unit_tests/load/test_serializable.py b/libs/community/tests/unit_tests/load/test_serializable.py index 7ca4d27da91..d734cc49bd8 100644 --- a/libs/community/tests/unit_tests/load/test_serializable.py +++ b/libs/community/tests/unit_tests/load/test_serializable.py @@ -102,6 +102,16 @@ def test_serializable_mapping() -> None: "modifier", "RemoveMessage", ), + ("langchain", "chat_models", "mistralai", "MistralAI"): ( + "langchain_mistralai", + "chat_models", + "ChatMistralAI", + ), + ("langchain_groq", "chat_models", "ChatGroq"): ( + "langchain_groq", + "chat_models", + "ChatGroq", + ), } serializable_modules = import_all_modules("langchain") diff --git a/libs/core/langchain_core/load/mapping.py b/libs/core/langchain_core/load/mapping.py index c884d65ac55..4aa70dead92 100644 --- a/libs/core/langchain_core/load/mapping.py +++ b/libs/core/langchain_core/load/mapping.py @@ -274,7 +274,7 @@ SERIALIZABLE_MAPPING: Dict[Tuple[str, ...], Tuple[str, ...]] = { ("langchain_groq", "chat_models", "ChatGroq"): ( "langchain_groq", "chat_models", - "ChatGroq" + "ChatGroq", ), ("langchain", "chat_models", "fireworks", "ChatFireworks"): ( "langchain_fireworks", diff --git a/libs/partners/fireworks/tests/unit_tests/test_standard.py b/libs/partners/fireworks/tests/unit_tests/test_standard.py index 9288aeeb9f8..9d13e19d1ab 100644 --- a/libs/partners/fireworks/tests/unit_tests/test_standard.py +++ b/libs/partners/fireworks/tests/unit_tests/test_standard.py @@ -1,6 +1,6 @@ """Standard LangChain interface tests""" -from typing import Type +from typing import Tuple, Type from langchain_core.language_models import BaseChatModel from langchain_standard_tests.unit_tests import ( # type: ignore[import-not-found] @@ -18,3 +18,7 @@ class TestFireworksStandard(ChatModelUnitTests): @property def chat_model_params(self) -> dict: return {"api_key": "test_api_key"} + + @property + def init_from_env_params(self) -> Tuple[dict, dict, dict]: + return ({"FIREWORKS_API_KEY": "api_key"}, {}, {"fireworks_api_key": "api_key"}) diff --git a/libs/partners/mistralai/langchain_mistralai/chat_models.py b/libs/partners/mistralai/langchain_mistralai/chat_models.py index 6a497bf91f0..54485ebc55c 100644 --- a/libs/partners/mistralai/langchain_mistralai/chat_models.py +++ b/libs/partners/mistralai/langchain_mistralai/chat_models.py @@ -360,7 +360,9 @@ class ChatMistralAI(BaseChatModel): """A chat model that uses the MistralAI API.""" client: httpx.Client = Field(default=None, exclude=True) #: :meta private: - async_client: httpx.AsyncClient = Field(default=None, exclude=True) #: :meta private: + async_client: httpx.AsyncClient = Field( + default=None, exclude=True + ) #: :meta private: mistral_api_key: Optional[SecretStr] = Field( alias="api_key", default_factory=secret_from_env("MISTRAL_API_KEY", default=None), diff --git a/libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_azure_standard.ambr b/libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_azure_standard.ambr index 982c80d816f..8233a605fda 100644 --- a/libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_azure_standard.ambr +++ b/libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_azure_standard.ambr @@ -45,6 +45,13 @@ 'AzureChatOpenAI', ]), 'kwargs': dict({ + 'azure_ad_token': dict({ + 'id': list([ + 'AZURE_OPENAI_AD_TOKEN', + ]), + 'lc': 1, + 'type': 'secret', + }), 'azure_endpoint': 'https://test.azure.com', 'deployment_name': 'test', 'max_retries': 2, From 4ba14ae9e5545c3905aded58c0435f10b77f6b02 Mon Sep 17 00:00:00 2001 From: Bagatur Date: Wed, 4 Sep 2024 11:34:59 -0700 Subject: [PATCH 10/37] fmt --- libs/community/tests/unit_tests/load/test_serializable.py | 1 + 1 file changed, 1 insertion(+) diff --git a/libs/community/tests/unit_tests/load/test_serializable.py b/libs/community/tests/unit_tests/load/test_serializable.py index d734cc49bd8..cd389aa4523 100644 --- a/libs/community/tests/unit_tests/load/test_serializable.py +++ b/libs/community/tests/unit_tests/load/test_serializable.py @@ -73,6 +73,7 @@ def test_import_all_modules() -> None: ("langchain", "chat_models", "google_palm", "ChatGooglePalm"), ("langchain", "chat_models", "openai", "ChatOpenAI"), ("langchain", "chat_models", "vertexai", "ChatVertexAI"), + ("langchain", "chat_models", "mistralai", "ChatMistralAI"), ] ) From 1241a004cbcddd7794f1a6ba064e8a0ca06e1065 Mon Sep 17 00:00:00 2001 From: Bagatur Date: Wed, 4 Sep 2024 11:44:59 -0700 Subject: [PATCH 11/37] fmt --- libs/community/tests/unit_tests/load/test_serializable.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/libs/community/tests/unit_tests/load/test_serializable.py b/libs/community/tests/unit_tests/load/test_serializable.py index cd389aa4523..9b6dcc536d4 100644 --- a/libs/community/tests/unit_tests/load/test_serializable.py +++ b/libs/community/tests/unit_tests/load/test_serializable.py @@ -73,7 +73,6 @@ def test_import_all_modules() -> None: ("langchain", "chat_models", "google_palm", "ChatGooglePalm"), ("langchain", "chat_models", "openai", "ChatOpenAI"), ("langchain", "chat_models", "vertexai", "ChatVertexAI"), - ("langchain", "chat_models", "mistralai", "ChatMistralAI"), ] ) @@ -103,7 +102,7 @@ def test_serializable_mapping() -> None: "modifier", "RemoveMessage", ), - ("langchain", "chat_models", "mistralai", "MistralAI"): ( + ("langchain", "chat_models", "mistralai", "ChatMistralAI"): ( "langchain_mistralai", "chat_models", "ChatMistralAI", From 5c1ebd3086f3c46fc21347b8a95c1601e880eff1 Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Fri, 6 Sep 2024 09:22:53 -0700 Subject: [PATCH 12/37] partners/unstructured: release 0.1.3 (#26119) --- libs/partners/unstructured/poetry.lock | 1890 +++++++++++---------- 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jira = ["atlassian-python-api"] kafka = ["confluent-kafka"] -local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-oxmsg", "python-pptx (>=1.0.1)", "unstructured-inference (==0.7.36)", "unstructured.pytesseract (>=0.3.12)", "xlrd"] +local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.7.36)", "unstructured.pytesseract (>=0.3.12)", "xlrd"] md = ["markdown"] mongodb = ["pymongo"] -msg = ["python-oxmsg"] notion = ["htmlBuilder", "notion-client"] odt = ["pypandoc", "python-docx (>=1.1.2)"] onedrive = ["Office365-REST-Python-Client", "bs4", "msal"] @@ -4234,8 +4282,8 @@ openai = ["langchain-openai"] opensearch = ["opensearch-py"] org = ["pypandoc"] outlook = ["Office365-REST-Python-Client", "msal"] -paddleocr = ["paddlepaddle (==3.0.0b1)", "unstructured.paddleocr (==2.8.0.1)"] -pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypdf", "unstructured-inference (==0.7.36)", "unstructured.pytesseract (>=0.3.12)"] +paddleocr = ["paddlepaddle (==3.0.0b1)", "unstructured.paddleocr (==2.8.1.0)"] +pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.7.36)", "unstructured.pytesseract (>=0.3.12)"] pinecone = ["pinecone-client (>=3.7.1)"] postgres = ["psycopg2-binary"] ppt = ["python-pptx (>=1.0.1)"] @@ -4257,13 +4305,13 @@ xlsx = ["networkx", "openpyxl", "pandas", "xlrd"] [[package]] name = "unstructured-client" -version = "0.25.5" +version = "0.25.7" description = "Python Client SDK for Unstructured API" optional = false python-versions = ">=3.8" files = [ - {file = 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"pytest-ignore-flaky"] +type = ["pytest-mypy"] [extras] local = ["unstructured"] @@ -4473,4 +4525,4 @@ local = ["unstructured"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "d4f2a9a001f41c52964628e5d82d74e0938c75f75dbc5a08ff9d829c53fb74b9" +content-hash = "61b3872014801672b44bacea0982bbbaf70662401cc3b1d73dc104b1f230c720" diff --git a/libs/partners/unstructured/pyproject.toml b/libs/partners/unstructured/pyproject.toml index 6c6cbf671a0..b34559491fa 100644 --- a/libs/partners/unstructured/pyproject.toml +++ b/libs/partners/unstructured/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langchain-unstructured" -version = "0.1.2" +version = "0.1.3" description = "An integration package connecting Unstructured and LangChain" authors = [] readme = "README.md" @@ -13,7 +13,7 @@ license = "MIT" [tool.poetry.dependencies] python = ">=3.9,<4.0" -langchain-core = "^0.2.23" +langchain-core = "^0.2.38" unstructured-client = { version = "^0.25.0" } unstructured = { version = "^0.15.7", optional = true, python = "<3.13", extras = [ "all-docs", From a03141ac51e36828dedcf2bfcb964df22b6a7f4a Mon Sep 17 00:00:00 2001 From: ChengZi Date: Sat, 7 Sep 2024 00:52:36 +0800 Subject: [PATCH 13/37] partners[milvus]: fix integration test issues (#26136) fix some integration test issues: https://github.com/langchain-ai/langchain/actions/runs/10688447230/job/29628412258 Signed-off-by: ChengZi Co-authored-by: Erick Friis --- .../langchain_milvus/vectorstores/milvus.py | 2 +- libs/partners/milvus/poetry.lock | 654 +++++++++++++++++- libs/partners/milvus/pyproject.toml | 2 + .../vectorstores/test_milvus.py | 4 +- 4 files changed, 652 insertions(+), 10 deletions(-) diff --git a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py index 5419119ba08..279f9630369 100644 --- a/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py +++ b/libs/partners/milvus/langchain_milvus/vectorstores/milvus.py @@ -394,7 +394,7 @@ class Milvus(VectorStore): and (addr["address"] == given_address) and ("user" in addr) and (addr["user"] == tmp_user) - and (addr["db_name"] == db_name) + and (addr.get("db_name", "default") == db_name) ): logger.debug("Using previous connection: %s", con[0]) return con[0] diff --git a/libs/partners/milvus/poetry.lock b/libs/partners/milvus/poetry.lock index 26270dfc5dc..660425ed257 100644 --- a/libs/partners/milvus/poetry.lock +++ b/libs/partners/milvus/poetry.lock @@ -174,6 +174,23 @@ files = [ {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] +[[package]] +name = "coloredlogs" +version = "15.0.1" +description = "Colored terminal output for Python's logging module" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = 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"av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"] +audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] +benchmark = ["optimum-benchmark (>=0.2.0)"] +codecarbon = ["codecarbon (==1.2.0)"] +deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"] +deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"] +dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"] +flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] +ftfy = ["ftfy"] +integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"] +ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"] +modelcreation = ["cookiecutter (==1.7.3)"] +natten = ["natten (>=0.14.6,<0.15.0)"] +onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"] +onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"] +optuna = ["optuna"] +quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.5.1)", "urllib3 (<2.0.0)"] +ray = ["ray[tune] (>=2.7.0)"] +retrieval = ["datasets (!=2.5.0)", "faiss-cpu"] +ruff = ["ruff (==0.5.1)"] +sagemaker = ["sagemaker (>=2.31.0)"] +sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] +serving = ["fastapi", "pydantic", "starlette", "uvicorn"] +sigopt = ["sigopt"] +sklearn = ["scikit-learn"] +speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] +tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"] +tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] +timm = ["timm (<=0.9.16)"] +tokenizers = ["tokenizers (>=0.19,<0.20)"] +torch = ["accelerate (>=0.21.0)", "torch"] +torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] +torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] +torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"] +video = ["av (==9.2.0)", "decord (==0.6.0)"] +vision = ["Pillow (>=10.0.1,<=15.0)"] + [[package]] name = "types-requests" version = "2.32.0.20240712" @@ -1624,4 +2264,4 @@ watchmedo = ["PyYAML (>=3.10)"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "d6823046634939597b26f46d881270615741247d4927ac86cf18c71dca2ad969" +content-hash = "57c924f905dc457de6cdbf189bc3773328b322592a4cda2087616e7297dcafb3" diff --git a/libs/partners/milvus/pyproject.toml b/libs/partners/milvus/pyproject.toml index d145c8239e1..e8542886aab 100644 --- a/libs/partners/milvus/pyproject.toml +++ b/libs/partners/milvus/pyproject.toml @@ -66,11 +66,13 @@ pytest-mock = "^3.10.0" syrupy = "^4.0.2" pytest-watcher = "^0.3.4" pytest-asyncio = "^0.21.1" +milvus_model = "^0.2.0" [tool.poetry.group.codespell.dependencies] codespell = "^2.2.0" [tool.poetry.group.test_integration.dependencies] +milvus_model = "^0.2.0" [tool.poetry.group.lint.dependencies] ruff = "^0.1.5" diff --git a/libs/partners/milvus/tests/integration_tests/vectorstores/test_milvus.py b/libs/partners/milvus/tests/integration_tests/vectorstores/test_milvus.py index cd7282c06e1..0de248b3ad5 100644 --- a/libs/partners/milvus/tests/integration_tests/vectorstores/test_milvus.py +++ b/libs/partners/milvus/tests/integration_tests/vectorstores/test_milvus.py @@ -120,7 +120,7 @@ def test_milvus_max_marginal_relevance_search() -> None: output, [ Document(page_content="foo", metadata={"page": 0}), - Document(page_content="baz", metadata={"page": 2}), + Document(page_content="bar", metadata={"page": 1}), ], ) @@ -135,7 +135,7 @@ def test_milvus_max_marginal_relevance_search_with_dynamic_field() -> None: output, [ Document(page_content="foo", metadata={"page": 0}), - Document(page_content="baz", metadata={"page": 2}), + Document(page_content="bar", metadata={"page": 1}), ], ) From 854f37be879412da4f4fcff4b1d8e6e9e3961367 Mon Sep 17 00:00:00 2001 From: Brace Sproul Date: Fri, 6 Sep 2024 14:28:08 -0700 Subject: [PATCH 14/37] docs[minor]: Add state of agents survey to docs announcement bar (#26167) --- docs/docusaurus.config.js | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/docs/docusaurus.config.js b/docs/docusaurus.config.js index 869abd69035..714e217cfad 100644 --- a/docs/docusaurus.config.js +++ b/docs/docusaurus.config.js @@ -125,8 +125,11 @@ const config = { /** @type {import('@docusaurus/preset-classic').ThemeConfig} */ ({ announcementBar: { - content: 'LangChain 0.2 is out! Leave feedback on the v0.2 docs here. You can view the v0.1 docs here.', + content: + 'Share your thoughts on AI agents. Take the 3-min survey.', isCloseable: true, + backgroundColor: "rgba(53, 151, 147, 0.1)", + textColor: "rgb(53, 151, 147)", }, docs: { sidebar: { From 262e19b15db4a9e3f2103d95fc0155bfdd06d55c Mon Sep 17 00:00:00 2001 From: William FH <13333726+hinthornw@users.noreply.github.com> Date: Fri, 6 Sep 2024 14:29:29 -0700 Subject: [PATCH 15/37] infra: Clear cache for env-var checks (#26073) --- libs/community/poetry.lock | 13 +++++++------ libs/community/pyproject.toml | 2 +- .../unit_tests/callbacks/test_callback_manager.py | 3 +++ libs/core/poetry.lock | 8 ++++---- libs/core/pyproject.toml | 2 +- .../unit_tests/runnables/test_tracing_interops.py | 3 +++ .../core/tests/unit_tests/tracers/test_langchain.py | 3 +++ 7 files changed, 22 insertions(+), 12 deletions(-) diff --git a/libs/community/poetry.lock b/libs/community/poetry.lock index a90e3edec89..68b5adc1024 100644 --- a/libs/community/poetry.lock +++ b/libs/community/poetry.lock @@ -1772,7 +1772,7 @@ develop = true [package.dependencies] jsonpatch = "^1.33" -langsmith = "^0.1.75" +langsmith = "^0.1.112" packaging = ">=23.2,<25" pydantic = [ {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}, @@ -1799,6 +1799,7 @@ develop = true httpx = "^0.27.0" langchain-core = ">=0.1.40,<0.3" pytest = ">=7,<9" +syrupy = "^4" [package.source] type = "directory" @@ -1822,13 +1823,13 @@ url = "../text-splitters" [[package]] name = "langsmith" -version = "0.1.110" +version = "0.1.116" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langsmith-0.1.110-py3-none-any.whl", hash = "sha256:316d279e3853f5e90e462f9c035eeb468d042f2a21a269c1102d65f3dccdc334"}, - {file = "langsmith-0.1.110.tar.gz", hash = "sha256:9a619dfe22a67a05a05091f0677b9c842499faec5f051b31afcd901b6627d0a3"}, + {file = "langsmith-0.1.116-py3-none-any.whl", hash = "sha256:4b5ea64c81ba5ca309695c85dc3fb4617429a985129ed5d9eca00d1c9d6483f4"}, + {file = "langsmith-0.1.116.tar.gz", hash = "sha256:5ccd7f5c1840f7c507ab3ee56334a1391de28c8bf72669782e2d82cafeefffa7"}, ] [package.dependencies] @@ -2481,8 +2482,8 @@ files = [ [package.dependencies] numpy = [ {version = ">=1.20.3", markers = "python_version < \"3.10\""}, - {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, + {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -4323,4 +4324,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "b69b2186cc152c64945d8000e883e92d7872a38b7113f60b1db5c7e1c9aed7c6" +content-hash = "83bd930c36648406317fb87fa8205f67e41c89b27c30cb25b9e66a476d0e5e08" diff --git a/libs/community/pyproject.toml b/libs/community/pyproject.toml index 3a4758e5cf0..bd50a7352d0 100644 --- a/libs/community/pyproject.toml +++ b/libs/community/pyproject.toml @@ -38,7 +38,7 @@ PyYAML = ">=5.3" aiohttp = "^3.8.3" tenacity = "^8.1.0,!=8.4.0" dataclasses-json = ">= 0.5.7, < 0.7" -langsmith = "^0.1.0" +langsmith = "^0.1.112" [[tool.poetry.dependencies.numpy]] version = "^1" python = "<3.12" diff --git a/libs/community/tests/unit_tests/callbacks/test_callback_manager.py b/libs/community/tests/unit_tests/callbacks/test_callback_manager.py index 69821d2de6d..dbc414f053b 100644 --- a/libs/community/tests/unit_tests/callbacks/test_callback_manager.py +++ b/libs/community/tests/unit_tests/callbacks/test_callback_manager.py @@ -7,6 +7,7 @@ from langchain_core.callbacks.manager import CallbackManager, trace_as_chain_gro from langchain_core.outputs import LLMResult from langchain_core.tracers.langchain import LangChainTracer, wait_for_all_tracers from langchain_core.utils.pydantic import get_fields +from langsmith import utils as ls_utils from langchain_community.callbacks import get_openai_callback from langchain_community.callbacks.manager import get_bedrock_anthropic_callback @@ -17,6 +18,8 @@ def test_callback_manager_configure_context_vars( monkeypatch: pytest.MonkeyPatch, ) -> None: """Test callback manager configuration.""" + ls_utils.get_env_var.cache_clear() + ls_utils.get_tracer_project.cache_clear() monkeypatch.setenv("LANGCHAIN_TRACING_V2", "true") monkeypatch.setenv("LANGCHAIN_TRACING", "false") monkeypatch.setenv("LANGCHAIN_API_KEY", "foo") diff --git a/libs/core/poetry.lock b/libs/core/poetry.lock index 6b99c525c96..d4327070cff 100644 --- a/libs/core/poetry.lock +++ b/libs/core/poetry.lock @@ -1253,13 +1253,13 @@ url = "../text-splitters" [[package]] name = "langsmith" -version = "0.1.106" +version = "0.1.113" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langsmith-0.1.106-py3-none-any.whl", hash = "sha256:a418161c98de72ee2c6eea6667c6217814b67db4b9a3a024788013384216ff35"}, - {file = "langsmith-0.1.106.tar.gz", hash = "sha256:64a890a05640d64692f5515ebb444b0457332a9cf9e7605c4651de6737a7d3a0"}, + {file = "langsmith-0.1.113-py3-none-any.whl", hash = "sha256:0071d034fbe54cc3574f382b062c4b4f09931dfe7b703146900b7918a7f6c785"}, + {file = "langsmith-0.1.113.tar.gz", hash = "sha256:369efa53352bdc4f27d5c8b7f4f802b32492e55511c7fbeeaea143dbfdf0ee06"}, ] [package.dependencies] @@ -3220,4 +3220,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "e86e28d75744b77f8c2173b58e950c2d23c95cacad8ee5d3110309c4248f7c09" +content-hash = "db22fd24cc4409baa802efebb4a73e8effd50befe465428d7946d91dccbb9563" diff --git a/libs/core/pyproject.toml b/libs/core/pyproject.toml index ae040a018b5..25c5bc15448 100644 --- a/libs/core/pyproject.toml +++ b/libs/core/pyproject.toml @@ -24,7 +24,7 @@ ignore_missing_imports = true [tool.poetry.dependencies] python = ">=3.8.1,<4.0" -langsmith = "^0.1.75" +langsmith = "^0.1.112" tenacity = "^8.1.0,!=8.4.0" jsonpatch = "^1.33" PyYAML = ">=5.3" diff --git a/libs/core/tests/unit_tests/runnables/test_tracing_interops.py b/libs/core/tests/unit_tests/runnables/test_tracing_interops.py index 71744bf795e..b958636a913 100644 --- a/libs/core/tests/unit_tests/runnables/test_tracing_interops.py +++ b/libs/core/tests/unit_tests/runnables/test_tracing_interops.py @@ -6,6 +6,7 @@ from unittest.mock import MagicMock, patch import pytest from langsmith import Client, traceable from langsmith.run_helpers import tracing_context +from langsmith.utils import get_env_var from langchain_core.runnables.base import RunnableLambda, RunnableParallel from langchain_core.tracers.langchain import LangChainTracer @@ -31,6 +32,7 @@ def _get_posts(client: Client) -> list: def test_config_traceable_handoff() -> None: + get_env_var.cache_clear() mock_session = MagicMock() mock_client_ = Client( session=mock_session, api_key="test", auto_batch_tracing=False @@ -186,6 +188,7 @@ def test_tracing_enable_disable( def my_func(a: int) -> int: return a + 1 + get_env_var.cache_clear() env_on = env == "true" with patch.dict("os.environ", {"LANGSMITH_TRACING": env}): with tracing_context(enabled=enabled): diff --git a/libs/core/tests/unit_tests/tracers/test_langchain.py b/libs/core/tests/unit_tests/tracers/test_langchain.py index fa22e488e9b..6610624dd4c 100644 --- a/libs/core/tests/unit_tests/tracers/test_langchain.py +++ b/libs/core/tests/unit_tests/tracers/test_langchain.py @@ -9,6 +9,7 @@ from uuid import UUID import pytest from langsmith import Client from langsmith.run_trees import RunTree +from langsmith.utils import get_env_var, get_tracer_project from langchain_core.outputs import LLMResult from langchain_core.tracers.langchain import LangChainTracer @@ -130,6 +131,8 @@ class LangChainProjectNameTest(unittest.TestCase): ] for case in cases: + get_env_var.cache_clear() + get_tracer_project.cache_clear() with self.subTest(msg=case.test_name): with pytest.MonkeyPatch.context() as mp: for k, v in case.envvars.items(): From 6e82d2184b98fc5421d9ff7a9af72d1ef39d9150 Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Sat, 7 Sep 2024 16:20:25 -0700 Subject: [PATCH 16/37] partners/mongodb: release 0.1.9 (#26193) --- libs/partners/mongodb/poetry.lock | 991 ++++++++++++++------------- libs/partners/mongodb/pyproject.toml | 4 +- 2 files changed, 513 insertions(+), 482 deletions(-) diff --git a/libs/partners/mongodb/poetry.lock b/libs/partners/mongodb/poetry.lock index 749ac840a74..22a770d6d76 100644 --- a/libs/partners/mongodb/poetry.lock +++ b/libs/partners/mongodb/poetry.lock @@ -2,98 +2,113 @@ [[package]] name = "aiohappyeyeballs" -version = "2.3.5" +version = "2.4.0" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.8" files = [ - {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"}, - 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@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "langchain-mongodb" -version = "0.1.8" +version = "0.1.9" description = "An integration package connecting MongoDB and LangChain" authors = [] readme = "README.md" @@ -21,7 +21,7 @@ disallow_untyped_defs = "True" [tool.poetry.dependencies] python = ">=3.8.1,<4.0" pymongo = ">=4.6.1,<5.0" -langchain-core = "^0.2.21" +langchain-core = "^0.2.38" [[tool.poetry.dependencies.numpy]] version = "^1" python = "<3.12" From 5052e87d7c8902ce6ea827eec81b33b1f5b95dba Mon Sep 17 00:00:00 2001 From: Leonid Ganeline Date: Sat, 7 Sep 2024 16:51:47 -0700 Subject: [PATCH 17/37] docs: `integrations` reference updates 15 (#25994) Added missed provider pages and links. Fixed inconsistent formatting. --- .../integrations/platforms/huggingface.mdx | 84 ++++++++--- docs/docs/integrations/providers/apple.mdx | 22 +++ docs/docs/integrations/providers/nomic.ipynb | 69 --------- docs/docs/integrations/providers/nomic.mdx | 58 ++++++++ .../docs/integrations/providers/transwarp.mdx | 34 +++++ .../docs/integrations/providers/upstage.ipynb | 136 +++++++++--------- 6 files changed, 242 insertions(+), 161 deletions(-) create mode 100644 docs/docs/integrations/providers/apple.mdx delete mode 100644 docs/docs/integrations/providers/nomic.ipynb create mode 100644 docs/docs/integrations/providers/nomic.mdx create mode 100644 docs/docs/integrations/providers/transwarp.mdx diff --git a/docs/docs/integrations/platforms/huggingface.mdx b/docs/docs/integrations/platforms/huggingface.mdx index b558f8947fc..da7d39c1c7a 100644 --- a/docs/docs/integrations/platforms/huggingface.mdx +++ b/docs/docs/integrations/platforms/huggingface.mdx @@ -12,7 +12,7 @@ pip install langchain-huggingface ## Chat models -### Models from Hugging Face +### ChatHuggingFace We can use the `Hugging Face` LLM classes or directly use the `ChatHuggingFace` class. @@ -24,7 +24,16 @@ from langchain_huggingface import ChatHuggingFace ## LLMs -### Hugging Face Local Pipelines +### HuggingFaceEndpoint + + +See a [usage example](/docs/integrations/llms/huggingface_endpoint). + +```python +from langchain_huggingface import HuggingFaceEndpoint +``` + +### HuggingFacePipeline Hugging Face models can be run locally through the `HuggingFacePipeline` class. @@ -44,6 +53,22 @@ See a [usage example](/docs/integrations/text_embedding/huggingfacehub). from langchain_huggingface import HuggingFaceEmbeddings ``` +### HuggingFaceEndpointEmbeddings + +See a [usage example](/docs/integrations/text_embedding/huggingfacehub). + +```python +from langchain_huggingface import HuggingFaceEndpointEmbeddings +``` + +### HuggingFaceInferenceAPIEmbeddings + +See a [usage example](/docs/integrations/text_embedding/huggingfacehub). + +```python +from langchain_community.embeddings import HuggingFaceInferenceAPIEmbeddings +``` + ### HuggingFaceInstructEmbeddings See a [usage example](/docs/integrations/text_embedding/instruct_embeddings). @@ -63,25 +88,6 @@ See a [usage example](/docs/integrations/text_embedding/bge_huggingface). from langchain_community.embeddings import HuggingFaceBgeEmbeddings ``` -### Hugging Face Text Embeddings Inference (TEI) - ->[Hugging Face Text Embeddings Inference (TEI)](https://huggingface.co/docs/text-generation-inference/index) is a toolkit for deploying and serving open-source -> text embeddings and sequence classification models. `TEI` enables high-performance extraction for the most popular models, ->including `FlagEmbedding`, `Ember`, `GTE` and `E5`. - -We need to install `huggingface-hub` python package. - -```bash -pip install huggingface-hub -``` - -See a [usage example](/docs/integrations/text_embedding/text_embeddings_inference). - -```python -from langchain_community.embeddings import HuggingFaceHubEmbeddings -``` - - ## Document Loaders ### Hugging Face dataset @@ -104,7 +110,34 @@ See a [usage example](/docs/integrations/document_loaders/hugging_face_dataset). from langchain_community.document_loaders.hugging_face_dataset import HuggingFaceDatasetLoader ``` +### Hugging Face model loader +>Load model information from `Hugging Face Hub`, including README content. +> +>This loader interfaces with the `Hugging Face Models API` to fetch +> and load model metadata and README files. +> The API allows you to search and filter models based on +> specific criteria such as model tags, authors, and more. + +```python +from langchain_community.document_loaders import HuggingFaceModelLoader +``` + +### Image captions + +It uses the Hugging Face models to generate image captions. + +We need to install several python packages. + +```bash +pip install transformers pillow +``` + +See a [usage example](/docs/integrations/document_loaders/image_captions). + +```python +from langchain_community.document_loaders import ImageCaptionLoader +``` ## Tools @@ -124,3 +157,12 @@ See a [usage example](/docs/integrations/tools/huggingface_tools). ```python from langchain_community.agent_toolkits.load_tools import load_huggingface_tool ``` + +### Hugging Face Text-to-Speech Model Inference. + +> It is a wrapper around `OpenAI Text-to-Speech API`. + +```python +from langchain_community.tools.audio import HuggingFaceTextToSpeechModelInference +``` + diff --git a/docs/docs/integrations/providers/apple.mdx b/docs/docs/integrations/providers/apple.mdx new file mode 100644 index 00000000000..5a87afeb6c5 --- /dev/null +++ b/docs/docs/integrations/providers/apple.mdx @@ -0,0 +1,22 @@ +# Apple + +>[Apple Inc. (Wikipedia)](https://en.wikipedia.org/wiki/Apple_Inc.) is an American +> multinational corporation and technology company. +> +> [iMessage (Wikipedia)](https://en.wikipedia.org/wiki/IMessage) is an instant +> messaging service developed by Apple Inc. and launched in 2011. +> `iMessage` functions exclusively on Apple platforms. + +## Installation and Setup + +See [setup instructions](/docs/integrations/chat_loaders/imessage). + +## Chat loader + +It loads chat sessions from the `iMessage` `chat.db` `SQLite` file. + +See a [usage example](/docs/integrations/chat_loaders/imessage). + +```python +from langchain_community.chat_loaders.imessage import IMessageChatLoader +``` diff --git a/docs/docs/integrations/providers/nomic.ipynb b/docs/docs/integrations/providers/nomic.ipynb deleted file mode 100644 index b1f4861612a..00000000000 --- a/docs/docs/integrations/providers/nomic.ipynb +++ /dev/null @@ -1,69 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Nomic\n", - "\n", - "Nomic currently offers two products:\n", - "\n", - "- Atlas: their Visual Data Engine\n", - "- GPT4All: their Open Source Edge Language Model Ecosystem\n", - "\n", - "The Nomic integration exists in its own [partner package](https://pypi.org/project/langchain-nomic/). You can install it with:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%pip install -qU langchain-nomic" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Currently, you can import their hosted [embedding model](/docs/integrations/text_embedding/nomic) as follows:" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "id": "y8ku6X96sebl" - }, - "outputs": [], - "source": [ - "from langchain_nomic import NomicEmbeddings" - ] - } - ], - "metadata": { - "colab": { - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.11" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/docs/docs/integrations/providers/nomic.mdx b/docs/docs/integrations/providers/nomic.mdx new file mode 100644 index 00000000000..f825e3c74e3 --- /dev/null +++ b/docs/docs/integrations/providers/nomic.mdx @@ -0,0 +1,58 @@ +# Nomic + +>[Nomic](https://www.nomic.ai/) builds tools that enable everyone to interact with AI scale datasets and run AI models on consumer computers. +> +>`Nomic` currently offers two products: +> +>- `Atlas`: the Visual Data Engine +>- `GPT4All`: the Open Source Edge Language Model Ecosystem + +The Nomic integration exists in two partner packages: [langchain-nomic](https://pypi.org/project/langchain-nomic/) +and in [langchain-community](https://pypi.org/project/langchain-community/). + +## Installation + +You can install them with: + +```bash +pip install -U langchain-nomic +pip install -U langchain-community +``` + +## LLMs + +### GPT4All + +See [a usage example](/docs/integrations/llms/gpt4all). + +```python +from langchain_community.llms import GPT4All +``` + +## Embedding models + +### NomicEmbeddings + +See [a usage example](/docs/integrations/text_embedding/nomic). + +```python +from langchain_nomic import NomicEmbeddings +``` + +### GPT4All + +See [a usage example](/docs/integrations/text_embedding/gpt4all). + +```python +from langchain_community.embeddings import GPT4AllEmbeddings +``` + +## Vector store + +### Atlas + +See [a usage example and installation instructions](/docs/integrations/vectorstores/atlas). + +```python +from langchain_community.vectorstores import AtlasDB +``` diff --git a/docs/docs/integrations/providers/transwarp.mdx b/docs/docs/integrations/providers/transwarp.mdx new file mode 100644 index 00000000000..4406f885bab --- /dev/null +++ b/docs/docs/integrations/providers/transwarp.mdx @@ -0,0 +1,34 @@ +# Transwarp + +>[Transwarp](https://www.transwarp.cn/en/introduction) aims to build +> enterprise-level big data and AI infrastructure software, +> to shape the future of data world. It provides enterprises with +> infrastructure software and services around the whole data lifecycle, +> including integration, storage, governance, modeling, analysis, +> mining and circulation. +> +> `Transwarp` focuses on technology research and +> development and has accumulated core technologies in these aspects: +> distributed computing, SQL compilations, database technology, +> unification for multi-model data management, container-based cloud computing, +> and big data analytics and intelligence. + +## Installation + +You have to install several python packages: + +```bash +pip install -U tiktoken hippo-api +``` + +and get the connection configuration. + +## Vector stores + +### Hippo + +See [a usage example and installation instructions](/docs/integrations/vectorstores/hippo). + +```python +from langchain_community.vectorstores.hippo import Hippo +``` diff --git a/docs/docs/integrations/providers/upstage.ipynb b/docs/docs/integrations/providers/upstage.ipynb index b43bfe163d2..9dfce63e351 100644 --- a/docs/docs/integrations/providers/upstage.ipynb +++ b/docs/docs/integrations/providers/upstage.ipynb @@ -6,45 +6,18 @@ "source": [ "# Upstage\n", "\n", - "[Upstage](https://upstage.ai) is a leading artificial intelligence (AI) company specializing in delivering above-human-grade performance LLM components. \n" + ">[Upstage](https://upstage.ai) is a leading artificial intelligence (AI) company specializing in delivering above-human-grade performance LLM components.\n", + ">\n", + ">**Solar Mini Chat** is a fast yet powerful advanced large language model focusing on English and Korean. It has been specifically fine-tuned for multi-turn chat purposes, showing enhanced performance across a wide range of natural language processing tasks, like multi-turn conversation or tasks that require an understanding of long contexts, such as RAG (Retrieval-Augmented Generation), compared to other models of a similar size. This fine-tuning equips it with the ability to handle longer conversations more effectively, making it particularly adept for interactive applications.\n", + "\n", + ">Other than Solar, Upstage also offers features for real-world RAG (retrieval-augmented generation), such as **Groundedness Check** and **Layout Analysis**. \n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Solar LLM\n", - "\n", - "**Solar Mini Chat** is a fast yet powerful advanced large language model focusing on English and Korean. It has been specifically fine-tuned for multi-turn chat purposes, showing enhanced performance across a wide range of natural language processing tasks, like multi-turn conversation or tasks that require an understanding of long contexts, such as RAG (Retrieval-Augmented Generation), compared to other models of a similar size. This fine-tuning equips it with the ability to handle longer conversations more effectively, making it particularly adept for interactive applications.\n", - "\n", - "Other than Solar, Upstage also offers features for real-world RAG (retrieval-augmented generation), such as **Groundedness Check** and **Layout Analysis**. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Installation and Setup\n", - "\n", - "Install `langchain-upstage` package:\n", - "\n", - "```bash\n", - "pip install -qU langchain-core langchain-upstage\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Get [API Keys](https://console.upstage.ai) and set environment variable `UPSTAGE_API_KEY`." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Upstage LangChain integrations\n", + "### Upstage LangChain integrations\n", "\n", "| API | Description | Import | Example usage |\n", "| --- | --- | --- | --- |\n", @@ -60,9 +33,20 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Quick Examples\n", + "## Installation and Setup\n", "\n", - "### Environment Setup" + "Install `langchain-upstage` package:\n", + "\n", + "```bash\n", + "pip install -qU langchain-core langchain-upstage\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Get [API Keys](https://console.upstage.ai) and set environment variable `UPSTAGE_API_KEY`." ] }, { @@ -80,8 +64,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "## Chat models\n", "\n", - "### Chat\n" + "### Solar LLM\n", + "\n", + "See [a usage example](/docs/integrations/chat/upstage)." ] }, { @@ -101,10 +88,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "## Embedding models\n", "\n", - "\n", - "### Text embedding\n", - "\n" + "See [a usage example](/docs/integrations/text_embedding/upstage)." ] }, { @@ -134,7 +120,45 @@ } }, "source": [ - "### Groundedness Check" + "## Document loader\n", + "\n", + "### Layout Analysis\n", + "\n", + "See [a usage example](/docs/integrations/document_loaders/upstage)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_upstage import UpstageLayoutAnalysisLoader\n", + "\n", + "file_path = \"/PATH/TO/YOUR/FILE.pdf\"\n", + "layzer = UpstageLayoutAnalysisLoader(file_path, split=\"page\")\n", + "\n", + "# For improved memory efficiency, consider using the lazy_load method to load documents page by page.\n", + "docs = layzer.load() # or layzer.lazy_load()\n", + "\n", + "for doc in docs[:3]:\n", + " print(doc)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "## Tools\n", + "\n", + "### Groundedness Check\n", + "\n", + "See [a usage example](/docs/integrations/tools/upstage_groundedness_check)." ] }, { @@ -159,36 +183,6 @@ "response = groundedness_check.invoke(request_input)\n", "print(response)" ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - } - }, - "source": [ - "### Layout Analysis" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from langchain_upstage import UpstageLayoutAnalysisLoader\n", - "\n", - "file_path = \"/PATH/TO/YOUR/FILE.pdf\"\n", - "layzer = UpstageLayoutAnalysisLoader(file_path, split=\"page\")\n", - "\n", - "# For improved memory efficiency, consider using the lazy_load method to load documents page by page.\n", - "docs = layzer.load() # or layzer.lazy_load()\n", - "\n", - "for doc in docs[:3]:\n", - " print(doc)" - ] } ], "metadata": { @@ -210,7 +204,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.10.12" } }, "nbformat": 4, From ffdc37020037cf36daa48a91a1b6784a3a097f7a Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Sun, 8 Sep 2024 09:07:26 +0900 Subject: [PATCH 18/37] docs: update agent_executor.ipynb (#26035) initalize -> initialize Co-authored-by: Erick Friis --- docs/docs/how_to/agent_executor.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/how_to/agent_executor.ipynb b/docs/docs/how_to/agent_executor.ipynb index e6a357e3ca9..9c59f569e43 100644 --- a/docs/docs/how_to/agent_executor.ipynb +++ b/docs/docs/how_to/agent_executor.ipynb @@ -461,7 +461,7 @@ "id": "f8014c9d", "metadata": {}, "source": [ - "Now, we can initalize the agent with the LLM, the prompt, and the tools. The agent is responsible for taking in input and deciding what actions to take. Crucially, the Agent does not execute those actions - that is done by the AgentExecutor (next step). For more information about how to think about these components, see our [conceptual guide](/docs/concepts/#agents).\n", + "Now, we can initialize the agent with the LLM, the prompt, and the tools. The agent is responsible for taking in input and deciding what actions to take. Crucially, the Agent does not execute those actions - that is done by the AgentExecutor (next step). For more information about how to think about these components, see our [conceptual guide](/docs/concepts/#agents).\n", "\n", "Note that we are passing in the `model`, not `model_with_tools`. That is because `create_tool_calling_agent` will call `.bind_tools` for us under the hood." ] From 2f80d67dc1d79887a95343df4c6f27b8c6430235 Mon Sep 17 00:00:00 2001 From: Leonid Ganeline Date: Sat, 7 Sep 2024 17:13:53 -0700 Subject: [PATCH 19/37] docs: `integrations` reference updates 16 (#26059) Added missed provider pages and links. Fixed inconsistent formatting. Co-authored-by: Erick Friis --- .../docs/integrations/platforms/microsoft.mdx | 33 ++++++++++ docs/docs/integrations/providers/apache.mdx | 63 +++++++++++++++++++ docs/docs/integrations/providers/spark.mdx | 49 +++++++++++++++ docs/docs/integrations/providers/sparkllm.mdx | 27 ++++++-- 4 files changed, 166 insertions(+), 6 deletions(-) create mode 100644 docs/docs/integrations/providers/apache.mdx create mode 100644 docs/docs/integrations/providers/spark.mdx diff --git a/docs/docs/integrations/platforms/microsoft.mdx b/docs/docs/integrations/platforms/microsoft.mdx index fb0b4efbbb4..f6adefb1e49 100644 --- a/docs/docs/integrations/platforms/microsoft.mdx +++ b/docs/docs/integrations/platforms/microsoft.mdx @@ -436,6 +436,8 @@ See a [usage example](/docs/integrations/tools/azure_ai_services). from langchain_community.agent_toolkits import azure_ai_services ``` +#### Azure AI Services individual tools + The `azure_ai_services` toolkit includes the following tools: - Image Analysis: [AzureAiServicesImageAnalysisTool](https://python.langchain.com/v0.2/api_reference/community/tools/langchain_community.tools.azure_ai_services.image_analysis.AzureAiServicesImageAnalysisTool.html) @@ -460,6 +462,23 @@ See a [usage example](/docs/integrations/tools/office365). from langchain_community.agent_toolkits import O365Toolkit ``` +#### Office 365 individual tools + +You can use individual tools from the Office 365 Toolkit: +- `O365CreateDraftMessage`: tool for creating a draft email in Office 365 +- `O365SearchEmails`: tool for searching email messages in Office 365 +- `O365SearchEvents`: tool for searching calendar events in Office 365 +- `O365SendEvent`: tool for sending calendar events in Office 365 +- `O365SendMessage`: tool for sending an email in Office 365 + +```python +from langchain_community.tools.office365 import O365CreateDraftMessage +from langchain_community.tools.office365 import O365SearchEmails +from langchain_community.tools.office365 import O365SearchEvents +from langchain_community.tools.office365 import O365SendEvent +from langchain_community.tools.office365 import O365SendMessage +``` + ### Microsoft Azure PowerBI We need to install `azure-identity` python package. @@ -475,6 +494,20 @@ from langchain_community.agent_toolkits import PowerBIToolkit from langchain_community.utilities.powerbi import PowerBIDataset ``` +#### PowerBI individual tools + +You can use individual tools from the Azure PowerBI Toolkit: +- `InfoPowerBITool`: tool for getting metadata about a PowerBI Dataset +- `ListPowerBITool`: tool for getting tables names +- `QueryPowerBITool`: tool for querying a PowerBI Dataset + +```python +from langchain_community.tools.powerbi.tool import InfoPowerBITool +from langchain_community.tools.powerbi.tool import ListPowerBITool +from langchain_community.tools.powerbi.tool import QueryPowerBITool +``` + + ### PlayWright Browser Toolkit >[Playwright](https://github.com/microsoft/playwright) is an open-source automation tool diff --git a/docs/docs/integrations/providers/apache.mdx b/docs/docs/integrations/providers/apache.mdx new file mode 100644 index 00000000000..6acb7156111 --- /dev/null +++ b/docs/docs/integrations/providers/apache.mdx @@ -0,0 +1,63 @@ +# Apache Software Foundation + +>[The Apache Software Foundation (Wikipedia)](https://en.wikipedia.org/wiki/The_Apache_Software_Foundation) +> is a decentralized open source community of developers. The software they +> produce is distributed under the terms of the Apache License, a permissive +> open-source license for free and open-source software (FOSS). The Apache projects +> are characterized by a collaborative, consensus-based development process +> and an open and pragmatic software license, which is to say that it +> allows developers, who receive the software freely, to redistribute +> it under non-free terms. Each project is managed by a self-selected +> team of technical experts who are active contributors to the project. + +## Apache AGE + +>[Apache AGE](https://age.apache.org/) is a `PostgreSQL` extension that provides +> graph database functionality. `AGE` is an acronym for `A Graph Extension`, and +> is inspired by Bitnine’s fork of `PostgreSQL 10`, `AgensGraph`, which is +> a multimodal database. The goal of the project is to create single +> storage that can handle both relational and graph model data so that users +> can use standard ANSI SQL along with `openCypher`, the Graph query language. +> The data elements `Apache AGE` stores are nodes, edges connecting them, and +> attributes of nodes and edges. + +See more about [integrating with Apache AGE](/docs/integrations/graphs/apache_age). + +## Apache Cassandra + +>[Apache Cassandra](https://cassandra.apache.org/) is a NoSQL, row-oriented, +> highly scalable and highly available database. Starting with version 5.0, +> the database ships with vector search capabilities. + +See more about [integrating with Apache Cassandra](/docs/integrations/providers/cassandra/). + +## Apache Doris + +>[Apache Doris](https://doris.apache.org/) is a modern data warehouse for +> real-time analytics. It delivers lightning-fast analytics on real-time data at scale. +> +>Usually `Apache Doris` is categorized into OLAP, and it has showed excellent +> performance in ClickBench — a Benchmark For Analytical DBMS. Since it has +> a super-fast vectorized execution engine, it could also be used as a fast vectordb. + +See more about [integrating with Apache Doris](/docs/integrations/providers/apache_doris/). + +## Apache Kafka + +>[Apache Kafka](https://github.com/apache/kafka) is a distributed messaging system +> that is used to publish and subscribe to streams of records. + +See more about [integrating with Apache Kafka](/docs/integrations/memory/kafka_chat_message_history). + + +## Apache Spark + +>[Apache Spark](https://spark.apache.org/) is a unified analytics engine for +> large-scale data processing. It provides high-level APIs in Scala, Java, +> Python, and R, and an optimized engine that supports general computation +> graphs for data analysis. It also supports a rich set of higher-level +> tools including `Spark SQL` for SQL and DataFrames, `pandas API on Spark` +> for pandas workloads, `MLlib` for machine learning, +> `GraphX` for graph processing, and `Structured Streaming` for stream processing. + +See more about [integrating with Apache Spark](/docs/integrations/providers/spark). diff --git a/docs/docs/integrations/providers/spark.mdx b/docs/docs/integrations/providers/spark.mdx new file mode 100644 index 00000000000..a7721415af8 --- /dev/null +++ b/docs/docs/integrations/providers/spark.mdx @@ -0,0 +1,49 @@ +# Spark + +>[Apache Spark](https://spark.apache.org/) is a unified analytics engine for +> large-scale data processing. It provides high-level APIs in Scala, Java, +> Python, and R, and an optimized engine that supports general computation +> graphs for data analysis. It also supports a rich set of higher-level +> tools including `Spark SQL` for SQL and DataFrames, `pandas API on Spark` +> for pandas workloads, `MLlib` for machine learning, +> `GraphX` for graph processing, and `Structured Streaming` for stream processing. + +## Document loaders + +### PySpark + +It loads data from a `PySpark` DataFrame. + +See a [usage example](/docs/integrations/document_loaders/pyspark_dataframe). + +```python +from langchain_community.document_loaders import PySparkDataFrameLoader +``` + +## Tools/Toolkits + +### Spark SQL toolkit + +Toolkit for interacting with `Spark SQL`. + +See a [usage example](/docs/integrations/tools/spark_sql). + +```python +from langchain_community.agent_toolkits import SparkSQLToolkit, create_spark_sql_agent +from langchain_community.utilities.spark_sql import SparkSQL +``` + +#### Spark SQL individual tools + +You can use individual tools from the Spark SQL Toolkit: +- `InfoSparkSQLTool`: tool for getting metadata about a Spark SQL +- `ListSparkSQLTool`: tool for getting tables names +- `QueryCheckerTool`: tool uses an LLM to check if a query is correct +- `QuerySparkSQLTool`: tool for querying a Spark SQL + +```python +from langchain_community.tools.spark_sql.tool import InfoSparkSQLTool +from langchain_community.tools.spark_sql.tool import ListSparkSQLTool +from langchain_community.tools.spark_sql.tool import QueryCheckerTool +from langchain_community.tools.spark_sql.tool import QuerySparkSQLTool +``` diff --git a/docs/docs/integrations/providers/sparkllm.mdx b/docs/docs/integrations/providers/sparkllm.mdx index e9d7f94b186..c4a661f1e33 100644 --- a/docs/docs/integrations/providers/sparkllm.mdx +++ b/docs/docs/integrations/providers/sparkllm.mdx @@ -4,11 +4,26 @@ It has cross-domain knowledge and language understanding ability by learning a large amount of texts, codes and images. It can understand and perform tasks based on natural dialogue. -## SparkLLM LLM Model -An example is available at [example](/docs/integrations/llms/sparkllm). +## Chat models -## SparkLLM Chat Model -An example is available at [example](/docs/integrations/chat/sparkllm). +See a [usage example](/docs/integrations/chat/sparkllm). -## SparkLLM Text Embedding Model -An example is available at [example](/docs/integrations/text_embedding/sparkllm) +```python +from langchain_community.chat_models import ChatSparkLLM +``` + +## LLMs + +See a [usage example](/docs/integrations/llms/sparkllm). + +```python +from langchain_community.llms import SparkLLM +``` + +## Embedding models + +See a [usage example](/docs/integrations/text_embedding/sparkllm) + +```python +from langchain_community.embeddings import SparkLLMTextEmbeddings +``` From 9bd4f1dfa84d5bea063ce3e1cd6a65b4b9c16a40 Mon Sep 17 00:00:00 2001 From: Marcelo Machado Date: Sat, 7 Sep 2024 21:15:05 -0300 Subject: [PATCH 20/37] docs: small improvement ChatOllama setup description (#26043) Small improvement on ChatOllama description --------- Co-authored-by: Marcelo Machado Co-authored-by: Erick Friis --- libs/partners/ollama/langchain_ollama/chat_models.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/libs/partners/ollama/langchain_ollama/chat_models.py b/libs/partners/ollama/langchain_ollama/chat_models.py index 143761cf5f0..98369d22f94 100644 --- a/libs/partners/ollama/langchain_ollama/chat_models.py +++ b/libs/partners/ollama/langchain_ollama/chat_models.py @@ -91,7 +91,9 @@ def _lc_tool_call_to_openai_tool_call(tool_call: ToolCall) -> dict: class ChatOllama(BaseChatModel): """Ollama chat model integration. - Setup: + .. dropdown:: Setup + :open: + Install ``langchain-ollama`` and download any models you want to use from ollama. .. code-block:: bash From 1b3bd52e0e9b7f733d86942ccf642de77df2b027 Mon Sep 17 00:00:00 2001 From: Vadym Barda Date: Sun, 8 Sep 2024 10:35:25 -0400 Subject: [PATCH 21/37] core[patch]: fix edge labels for mermaid graphs (#26201) --- libs/core/langchain_core/runnables/graph_mermaid.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/libs/core/langchain_core/runnables/graph_mermaid.py b/libs/core/langchain_core/runnables/graph_mermaid.py index a471ffe26f6..1d06095b7b7 100644 --- a/libs/core/langchain_core/runnables/graph_mermaid.py +++ b/libs/core/langchain_core/runnables/graph_mermaid.py @@ -119,9 +119,9 @@ def draw_mermaid( for i in range(0, len(words), wrap_label_n_words) ) if edge.conditional: - edge_label = f" -.  {edge_data}  .-> " + edge_label = f" -.  {edge_data}  .-> " else: - edge_label = f" --  {edge_data}  --> " + edge_label = f" --  {edge_data}  --> " else: if edge.conditional: edge_label = " -.-> " From 97a8e365ecf5b4115a72c174bcb61fb0ed514469 Mon Sep 17 00:00:00 2001 From: John <43506685+Coniferish@users.noreply.github.com> Date: Sun, 8 Sep 2024 14:32:34 -0400 Subject: [PATCH 22/37] partners/unstructured: update unstructured client version (#26105) Users are having version conflicts with `unstructured-client` as described here: https://unstructuredw-kbe4326.slack.com/archives/C06JJHC9G4U/p1725557970546199?thread_ts=1725035247.162819&cid=C06JJHC9G4U This PR fixes that issue and should update the version to "0.1.3" as well for a clean-slate version for users to install Co-authored-by: Erick Friis --- libs/partners/unstructured/poetry.lock | 22 +++++++++++----------- libs/partners/unstructured/pyproject.toml | 2 +- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/libs/partners/unstructured/poetry.lock b/libs/partners/unstructured/poetry.lock index dd98fe8492a..867f7ac62e7 100644 --- a/libs/partners/unstructured/poetry.lock +++ b/libs/partners/unstructured/poetry.lock @@ -605,19 +605,19 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.15.4" +version = "3.16.0" description = "A platform independent file lock." optional = false python-versions = ">=3.8" files = [ - {file = "filelock-3.15.4-py3-none-any.whl", hash = "sha256:6ca1fffae96225dab4c6eaf1c4f4f28cd2568d3ec2a44e15a08520504de468e7"}, - {file = "filelock-3.15.4.tar.gz", hash = "sha256:2207938cbc1844345cb01a5a95524dae30f0ce089eba5b00378295a17e3e90cb"}, + {file = "filelock-3.16.0-py3-none-any.whl", hash = "sha256:f6ed4c963184f4c84dd5557ce8fece759a3724b37b80c6c4f20a2f63a4dc6609"}, + {file = "filelock-3.16.0.tar.gz", hash = "sha256:81de9eb8453c769b63369f87f11131a7ab04e367f8d97ad39dc230daa07e3bec"}, ] [package.extras] -docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"] -testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)", "virtualenv (>=20.26.2)"] -typing = ["typing-extensions (>=4.8)"] +docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"] +testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.1.1)", "pytest (>=8.3.2)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.3)"] +typing = ["typing-extensions (>=4.12.2)"] [[package]] name = "filetype" @@ -1291,7 +1291,7 @@ develop = true [package.dependencies] jsonpatch = "^1.33" -langsmith = "^0.1.75" +langsmith = "^0.1.112" packaging = ">=23.2,<25" pydantic = [ {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}, @@ -1321,13 +1321,13 @@ six = "*" [[package]] name = "langsmith" -version = "0.1.115" +version = "0.1.116" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langsmith-0.1.115-py3-none-any.whl", hash = "sha256:04e35cfd4c2d4ff1ea10bb577ff43957b05ebb3d9eb4e06e200701f4a2b4ac9f"}, - {file = "langsmith-0.1.115.tar.gz", hash = "sha256:3b775377d858d32354f3ee0dd1ed637068cfe9a1f13e7b3bfa82db1615cdffc9"}, + {file = "langsmith-0.1.116-py3-none-any.whl", hash = "sha256:4b5ea64c81ba5ca309695c85dc3fb4617429a985129ed5d9eca00d1c9d6483f4"}, + {file = "langsmith-0.1.116.tar.gz", hash = "sha256:5ccd7f5c1840f7c507ab3ee56334a1391de28c8bf72669782e2d82cafeefffa7"}, ] [package.dependencies] @@ -4525,4 +4525,4 @@ local = ["unstructured"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "61b3872014801672b44bacea0982bbbaf70662401cc3b1d73dc104b1f230c720" +content-hash = "aef99cb01bc916f945119cd14dc512ea259c5462448ab48a721de54c92a381be" diff --git a/libs/partners/unstructured/pyproject.toml b/libs/partners/unstructured/pyproject.toml index b34559491fa..b7dc827b267 100644 --- a/libs/partners/unstructured/pyproject.toml +++ b/libs/partners/unstructured/pyproject.toml @@ -13,8 +13,8 @@ license = "MIT" [tool.poetry.dependencies] python = ">=3.9,<4.0" +unstructured-client = { version = ">=0.25.0,<1" } langchain-core = "^0.2.38" -unstructured-client = { version = "^0.25.0" } unstructured = { version = "^0.15.7", optional = true, python = "<3.13", extras = [ "all-docs", ] } From 042e84170bcf05a78ed5892e4c6a66565f2624f3 Mon Sep 17 00:00:00 2001 From: Malik Ashar Khan <58248342+asharmalik19@users.noreply.github.com> Date: Sun, 8 Sep 2024 23:33:01 +0500 Subject: [PATCH 23/37] Fix typo in ScrapflyLoader documentation (#26117) This PR fixes a minor typo in the ScrapflyLoader documentation. The word "passigng" was changed to "passing." Before: passigng After: passing This change improves the clarity and professionalism of the documentation. Co-authored-by: Ashar --- docs/docs/integrations/document_loaders/scrapfly.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/integrations/document_loaders/scrapfly.ipynb b/docs/docs/integrations/document_loaders/scrapfly.ipynb index 0f37335925d..64ed86ffd4c 100644 --- a/docs/docs/integrations/document_loaders/scrapfly.ipynb +++ b/docs/docs/integrations/document_loaders/scrapfly.ipynb @@ -49,7 +49,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The ScrapflyLoader also allows passigng ScrapeConfig object for customizing the scrape request. See the documentation for the full feature details and their API params: https://scrapfly.io/docs/scrape-api/getting-started" + "The ScrapflyLoader also allows passing ScrapeConfig object for customizing the scrape request. See the documentation for the full feature details and their API params: https://scrapfly.io/docs/scrape-api/getting-started" ] }, { From b3c7ed49132e05756ff4d6e5e98fa34af976e81f Mon Sep 17 00:00:00 2001 From: Sebastian Cherny Date: Sun, 8 Sep 2024 20:38:43 +0200 Subject: [PATCH 24/37] Adding bind_tools in ChatOctoAI (#26168) The object extends from langchain_community.chat_models.openai.ChatOpenAI which doesn't have `bind_tools` defined. I tried extending from `langchain_openai.ChatOpenAI` in https://github.com/langchain-ai/langchain/pull/25975 but that PR got closed because this is not correct. So adding our own `bind_tools` (which for now copying from ChatOpenAI is good enough) will solve the tool calling issue we are having now. --------- Co-authored-by: Erick Friis --- .../langchain_community/chat_models/octoai.py | 66 ++++++++++++++++++- 1 file changed, 65 insertions(+), 1 deletion(-) diff --git a/libs/community/langchain_community/chat_models/octoai.py b/libs/community/langchain_community/chat_models/octoai.py index f79f9d192c0..6d9a2588022 100644 --- a/libs/community/langchain_community/chat_models/octoai.py +++ b/libs/community/langchain_community/chat_models/octoai.py @@ -1,9 +1,23 @@ """OctoAI Endpoints chat wrapper. Relies heavily on ChatOpenAI.""" -from typing import Dict +from typing import ( + Any, + Callable, + Dict, + Literal, + Optional, + Sequence, + Type, + Union, +) +from langchain_core.language_models import LanguageModelInput +from langchain_core.messages import BaseMessage from langchain_core.pydantic_v1 import Field, SecretStr +from langchain_core.runnables import Runnable +from langchain_core.tools import BaseTool from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init +from langchain_core.utils.function_calling import convert_to_openai_tool from langchain_community.chat_models.openai import ChatOpenAI from langchain_community.utils.openai import is_openai_v1 @@ -92,3 +106,53 @@ class ChatOctoAI(ChatOpenAI): ) return values + + def bind_tools( + self, + tools: Sequence[Union[Dict[str, Any], Type, Callable, BaseTool]], + *, + tool_choice: Optional[ + Union[dict, str, Literal["auto", "none", "required", "any"], bool] + ] = None, + strict: Optional[bool] = None, + **kwargs: Any, + ) -> Runnable[LanguageModelInput, BaseMessage]: + """Imitating bind_tool method from langchain_openai.ChatOpenAI""" + + formatted_tools = [ + convert_to_openai_tool(tool, strict=strict) for tool in tools + ] + if tool_choice: + if isinstance(tool_choice, str): + # tool_choice is a tool/function name + if tool_choice not in ("auto", "none", "any", "required"): + tool_choice = { + "type": "function", + "function": {"name": tool_choice}, + } + # 'any' is not natively supported by OpenAI API. + # We support 'any' since other models use this instead of 'required'. + if tool_choice == "any": + tool_choice = "required" + elif isinstance(tool_choice, bool): + tool_choice = "required" + elif isinstance(tool_choice, dict): + tool_names = [ + formatted_tool["function"]["name"] + for formatted_tool in formatted_tools + ] + if not any( + tool_name == tool_choice["function"]["name"] + for tool_name in tool_names + ): + raise ValueError( + f"Tool choice {tool_choice} was specified, but the only " + f"provided tools were {tool_names}." + ) + else: + raise ValueError( + f"Unrecognized tool_choice type. Expected str, bool or dict. " + f"Received: {tool_choice}" + ) + kwargs["tool_choice"] = tool_choice + return super().bind(tools=formatted_tools, **kwargs) From 181e4fc0e024d4bca182e7903259a0da4e56b7a4 Mon Sep 17 00:00:00 2001 From: Tomaz Bratanic Date: Mon, 9 Sep 2024 03:40:43 +0900 Subject: [PATCH 25/37] Add session expired retry to neo4j graph (#26182) Co-authored-by: Erick Friis --- .../langchain_community/graphs/neo4j_graph.py | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/libs/community/langchain_community/graphs/neo4j_graph.py b/libs/community/langchain_community/graphs/neo4j_graph.py index 309f5301250..6c93dc253e8 100644 --- a/libs/community/langchain_community/graphs/neo4j_graph.py +++ b/libs/community/langchain_community/graphs/neo4j_graph.py @@ -410,7 +410,9 @@ class Neo4jGraph(GraphStore): """Returns the structured schema of the Graph""" return self.structured_schema - def query(self, query: str, params: dict = {}) -> List[Dict[str, Any]]: + def query( + self, query: str, params: dict = {}, retry_on_session_expired: bool = True + ) -> List[Dict[str, Any]]: """Query Neo4j database. Args: @@ -421,7 +423,7 @@ class Neo4jGraph(GraphStore): List[Dict[str, Any]]: The list of dictionaries containing the query results. """ from neo4j import Query - from neo4j.exceptions import CypherSyntaxError + from neo4j.exceptions import CypherSyntaxError, SessionExpired with self._driver.session(database=self._database) as session: try: @@ -432,6 +434,15 @@ class Neo4jGraph(GraphStore): return json_data except CypherSyntaxError as e: raise ValueError(f"Generated Cypher Statement is not valid\n{e}") + except ( + SessionExpired + ) as e: # Session expired is a transient error that can be retried + if retry_on_session_expired: + return self.query( + query, params=params, retry_on_session_expired=False + ) + else: + raise e def refresh_schema(self) -> None: """ From fa17b145bbb2664a4c403312b31b5b1bc9229dd6 Mon Sep 17 00:00:00 2001 From: Qasim Khan Date: Sun, 8 Sep 2024 20:46:49 +0200 Subject: [PATCH 26/37] docs: fix typo in graph_constructing tutorial (#26134) Changed > "At a high-level, the steps of constructing a knowledge are from text are:" to > "At a high-level, the steps of constructing a knowledge graph from text are:" Co-authored-by: Erick Friis --- docs/docs/how_to/graph_constructing.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/how_to/graph_constructing.ipynb b/docs/docs/how_to/graph_constructing.ipynb index 52481975a6f..e9b6a014177 100644 --- a/docs/docs/how_to/graph_constructing.ipynb +++ b/docs/docs/how_to/graph_constructing.ipynb @@ -24,7 +24,7 @@ "\n", "## Architecture\n", "\n", - "At a high-level, the steps of constructing a knowledge are from text are:\n", + "At a high-level, the steps of constructing a knowledge graph from text are:\n", "\n", "1. **Extracting structured information from text**: Model is used to extract structured graph information from text.\n", "2. **Storing into graph database**: Storing the extracted structured graph information into a graph database enables downstream RAG applications\n", From bca51ca1640a93e5d9f7e50b03729e3075f2db36 Mon Sep 17 00:00:00 2001 From: Matt Hull <85494120+matt-hull0@users.noreply.github.com> Date: Sun, 8 Sep 2024 19:48:24 +0100 Subject: [PATCH 27/37] docs: Update func doc strings in tools_human (#26149) Thank you for contributing to LangChain! - [x] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** Fix docstring for two functions that look like have docstrings carried over from other functions. - **Issue:** Not found issue reporting the miss-leading docstrings. - **Dependencies:** None - **Twitter handle:** - [x] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Erick Friis --- docs/docs/how_to/tools_human.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/docs/how_to/tools_human.ipynb b/docs/docs/how_to/tools_human.ipynb index c5bcbf3c01a..5e5312debde 100644 --- a/docs/docs/how_to/tools_human.ipynb +++ b/docs/docs/how_to/tools_human.ipynb @@ -129,13 +129,13 @@ "\n", "@tool\n", "def count_emails(last_n_days: int) -> int:\n", - " \"\"\"Multiply two integers together.\"\"\"\n", + " \"\"\"Dummy function to count number of e-mails. Returns 2 * last_n_days.\"\"\"\n", " return last_n_days * 2\n", "\n", "\n", "@tool\n", "def send_email(message: str, recipient: str) -> str:\n", - " \"Add two integers.\"\n", + " \"\"\"Dummy function for sending an e-mail.\"\"\"\n", " return f\"Successfully sent email to {recipient}.\"\n", "\n", "\n", From 76bce4262955d3460e5b6cadd738cf710a4dbebb Mon Sep 17 00:00:00 2001 From: Geoffrey HARRAZI Date: Sun, 8 Sep 2024 20:58:28 +0200 Subject: [PATCH 28/37] docs: Update Google BigQuery Vector Search with new SQL filter feature introduce in langchain-google-community 1.0.9 (#26184) Hello, fix: https://github.com/langchain-ai/langchain/issues/26183 Adding documentation regarding SQL like filter for Google BigQuery Vector Search coming in next langchain-google-community 1.0.9 release. Note: langchain-google-community==1.0.9 is not yet released Question: There is no way to warn the user int the doc about the availability of a feature after a specific package version ? --------- Co-authored-by: Erick Friis --- .../google_bigquery_vector_search.ipynb | 21 ++++++++++++++++++- 1 file changed, 20 insertions(+), 1 deletion(-) diff --git a/docs/docs/integrations/vectorstores/google_bigquery_vector_search.ipynb b/docs/docs/integrations/vectorstores/google_bigquery_vector_search.ipynb index 8287bb04ca4..f5cc0e92c4e 100644 --- a/docs/docs/integrations/vectorstores/google_bigquery_vector_search.ipynb +++ b/docs/docs/integrations/vectorstores/google_bigquery_vector_search.ipynb @@ -325,7 +325,13 @@ "id": "20cf6074081b" }, "source": [ - "### Search for documents with metadata filter" + "### Searching Documents with Metadata Filters\n", + "The vectorstore supports two methods for applying filters to metadata fields when performing document searches:\n", + "\n", + "- Dictionary-based Filters\n", + " - You can pass a dictionary (dict) where the keys represent metadata fields and the values specify the filter condition. This method applies an equality filter between the key and the corresponding value. When multiple key-value pairs are provided, they are combined using a logical AND operation.\n", + "- SQL-based Filters\n", + " - Alternatively, you can provide a string representing an SQL WHERE clause to define more complex filtering conditions. This allows for greater flexibility, supporting SQL expressions such as comparison operators and logical operators." ] }, { @@ -336,11 +342,24 @@ }, "outputs": [], "source": [ + "# Dictionary-based Filters\n", "# This should only return \"Banana\" document.\n", "docs = store.similarity_search_by_vector(query_vector, filter={\"len\": 6})\n", "print(docs)" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# SQL-based Filters\n", + "# This should return \"Banana\", \"Apples and oranges\" and \"Cars and airplanes\" documents.\n", + "docs = store.similarity_search_by_vector(query_vector, filter={\"len = 6 AND len > 17\"})\n", + "print(docs)" + ] + }, { "cell_type": "markdown", "metadata": { From 3e48c728d527ef2fe7c1e4ced6dd086bde825c84 Mon Sep 17 00:00:00 2001 From: miri-bar <160584887+miri-bar@users.noreply.github.com> Date: Mon, 9 Sep 2024 19:34:54 +0300 Subject: [PATCH 29/37] docs: add ai21 tool calling example (#26199) Add tool calling example to AI21 docs --- docs/docs/integrations/chat/ai21.ipynb | 138 ++++++++++++++++++------- 1 file changed, 101 insertions(+), 37 deletions(-) diff --git a/docs/docs/integrations/chat/ai21.ipynb b/docs/docs/integrations/chat/ai21.ipynb index efdb43cab42..38429aa9153 100644 --- a/docs/docs/integrations/chat/ai21.ipynb +++ b/docs/docs/integrations/chat/ai21.ipynb @@ -50,18 +50,18 @@ }, { "cell_type": "code", - "execution_count": null, "id": "62e0dbc3", "metadata": { "tags": [] }, - "outputs": [], "source": [ "import os\n", "from getpass import getpass\n", "\n", "os.environ[\"AI21_API_KEY\"] = getpass()" - ] + ], + "outputs": [], + "execution_count": null }, { "cell_type": "markdown", @@ -73,14 +73,14 @@ }, { "cell_type": "code", - "execution_count": null, "id": "7c2e19d3-7c58-4470-9e1a-718b27a32056", "metadata": {}, - "outputs": [], "source": [ "# os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n", "# os.environ[\"LANGCHAIN_API_KEY\"] = getpass.getpass(\"Enter your LangSmith API key: \")" - ] + ], + "outputs": [], + "execution_count": null }, { "cell_type": "markdown", @@ -115,15 +115,15 @@ }, { "cell_type": "code", - "execution_count": 2, "id": "c40756fb-cbf8-4d44-a293-3989d707237e", "metadata": {}, - "outputs": [], "source": [ "from langchain_ai21 import ChatAI21\n", "\n", "llm = ChatAI21(model=\"jamba-instruct\", temperature=0)" - ] + ], + "outputs": [], + "execution_count": null }, { "cell_type": "markdown", @@ -135,21 +135,8 @@ }, { "cell_type": "code", - "execution_count": 3, "id": "46b982dc-5d8a-46da-a711-81c03ccd6adc", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "AIMessage(content=\"J'adore programmer.\", id='run-2e8d16d6-a06e-45cb-8d0c-1c8208645033-0')" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "messages = [\n", " (\n", @@ -160,7 +147,9 @@ "]\n", "ai_msg = llm.invoke(messages)\n", "ai_msg" - ] + ], + "outputs": [], + "execution_count": null }, { "cell_type": "markdown", @@ -174,7 +163,6 @@ }, { "cell_type": "code", - "execution_count": 4, "id": "39353473fce5dd2e", "metadata": { "collapsed": false, @@ -182,18 +170,6 @@ "outputs_hidden": false } }, - "outputs": [ - { - "data": { - "text/plain": [ - "AIMessage(content='Ich liebe das Programmieren.', id='run-e1bd82dc-1a7e-4b2e-bde9-ac995929ac0f-0')" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "from langchain_core.prompts import ChatPromptTemplate\n", "\n", @@ -215,7 +191,95 @@ " \"input\": \"I love programming.\",\n", " }\n", ")" - ] + ], + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "# Tool Calls / Function Calling", + "id": "39c0ccd229927eab" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "This example shows how to use tool calling with AI21 models:", + "id": "2bf6b40be07fe2d4" + }, + { + "metadata": {}, + "cell_type": "code", + "source": [ + "import os\n", + "from getpass import getpass\n", + "\n", + "from langchain_ai21.chat_models import ChatAI21\n", + "from langchain_core.messages import HumanMessage, SystemMessage, ToolMessage\n", + "from langchain_core.tools import tool\n", + "from langchain_core.utils.function_calling import convert_to_openai_tool\n", + "\n", + "os.environ[\"AI21_API_KEY\"] = getpass()\n", + "\n", + "\n", + "@tool\n", + "def get_weather(location: str, date: str) -> str:\n", + " \"\"\"“Provide the weather for the specified location on the given date.”\"\"\"\n", + " if location == \"New York\" and date == \"2024-12-05\":\n", + " return \"25 celsius\"\n", + " elif location == \"New York\" and date == \"2024-12-06\":\n", + " return \"27 celsius\"\n", + " elif location == \"London\" and date == \"2024-12-05\":\n", + " return \"22 celsius\"\n", + " return \"32 celsius\"\n", + "\n", + "\n", + "llm = ChatAI21(model=\"jamba-1.5-mini\")\n", + "\n", + "llm_with_tools = llm.bind_tools([convert_to_openai_tool(get_weather)])\n", + "\n", + "chat_messages = [\n", + " SystemMessage(\n", + " content=\"You are a helpful assistant. You can use the provided tools \"\n", + " \"to assist with various tasks and provide accurate information\"\n", + " )\n", + "]\n", + "\n", + "human_messages = [\n", + " HumanMessage(\n", + " content=\"What is the forecast for the weather in New York on December 5, 2024?\"\n", + " ),\n", + " HumanMessage(content=\"And what about the 2024-12-06?\"),\n", + " HumanMessage(content=\"OK, thank you.\"),\n", + " HumanMessage(content=\"What is the expected weather in London on December 5, 2024?\"),\n", + "]\n", + "\n", + "\n", + "for human_message in human_messages:\n", + " print(f\"User: {human_message.content}\")\n", + " chat_messages.append(human_message)\n", + " response = llm_with_tools.invoke(chat_messages)\n", + " chat_messages.append(response)\n", + " if response.tool_calls:\n", + " tool_call = response.tool_calls[0]\n", + " if tool_call[\"name\"] == \"get_weather\":\n", + " weather = get_weather.invoke(\n", + " {\n", + " \"location\": tool_call[\"args\"][\"location\"],\n", + " \"date\": tool_call[\"args\"][\"date\"],\n", + " }\n", + " )\n", + " chat_messages.append(\n", + " ToolMessage(content=weather, tool_call_id=tool_call[\"id\"])\n", + " )\n", + " llm_answer = llm_with_tools.invoke(chat_messages)\n", + " print(f\"Assistant: {llm_answer.content}\")\n", + " else:\n", + " print(f\"Assistant: {response.content}\")" + ], + "id": "a181a28df77120fb", + "outputs": [], + "execution_count": null }, { "cell_type": "markdown", From bab9de581cf4c4778fc9835a0153b12a5905e7f5 Mon Sep 17 00:00:00 2001 From: Vadym Barda Date: Mon, 9 Sep 2024 20:11:00 -0400 Subject: [PATCH 30/37] core[patch]: wrap mermaid node names w/ markdown in

tag (#26235) This fixes the issue where `__start__` and `__end__` node labels are being interpreted as markdown, as of the most recent Mermaid update --- .../core/langchain_core/runnables/graph_mermaid.py | 14 +++++++++++--- .../runnables/__snapshots__/test_graph.ambr | 10 +++++----- 2 files changed, 16 insertions(+), 8 deletions(-) diff --git a/libs/core/langchain_core/runnables/graph_mermaid.py b/libs/core/langchain_core/runnables/graph_mermaid.py index 1d06095b7b7..1e05a5af610 100644 --- a/libs/core/langchain_core/runnables/graph_mermaid.py +++ b/libs/core/langchain_core/runnables/graph_mermaid.py @@ -11,6 +11,8 @@ from langchain_core.runnables.graph import ( NodeStyles, ) +MARKDOWN_SPECIAL_CHARS = "*_`" + def draw_mermaid( nodes: Dict[str, Node], @@ -58,13 +60,19 @@ def draw_mermaid( default_class_label = "default" format_dict = {default_class_label: "{0}({1})"} if first_node is not None: - format_dict[first_node] = "{0}([{0}]):::first" + format_dict[first_node] = "{0}([{1}]):::first" if last_node is not None: - format_dict[last_node] = "{0}([{0}]):::last" + format_dict[last_node] = "{0}([{1}]):::last" # Add nodes to the graph for key, node in nodes.items(): - label = node.name.split(":")[-1] + node_name = node.name.split(":")[-1] + label = ( + f"

{node_name}

" + if node_name.startswith(tuple(MARKDOWN_SPECIAL_CHARS)) + and node_name.endswith(tuple(MARKDOWN_SPECIAL_CHARS)) + else node_name + ) if node.metadata: label = ( f"{label}
" diff --git a/libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr b/libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr index d1f1b20a49c..399f66aef09 100644 --- a/libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr +++ b/libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr @@ -1040,7 +1040,7 @@ PromptTemplate(PromptTemplate) FakeListLLM(FakeListLLM) Parallel_as_list_as_str_Input(ParallelInput) - Parallel_as_list_as_str_Output([Parallel_as_list_as_str_Output]):::last + Parallel_as_list_as_str_Output([ParallelOutput]):::last CommaSeparatedListOutputParser(CommaSeparatedListOutputParser) conditional_str_parser_input(conditional_str_parser_input) conditional_str_parser_output(conditional_str_parser_output) @@ -1067,14 +1067,14 @@ ''' %%{init: {'flowchart': {'curve': 'linear'}}}%% graph TD; - __start__([__start__]):::first + __start__([

__start__

]):::first outer_1(outer_1) inner_1_inner_1(inner_1) inner_1_inner_2(inner_2
__interrupt = before) inner_2_inner_1(inner_1) inner_2_inner_2(inner_2) outer_2(outer_2) - __end__([__end__]):::last + __end__([

__end__

]):::last __start__ --> outer_1; inner_1_inner_2 --> outer_2; inner_2_inner_2 --> outer_2; @@ -1097,13 +1097,13 @@ ''' %%{init: {'flowchart': {'curve': 'linear'}}}%% graph TD; - __start__([__start__]):::first + __start__([

__start__

]):::first parent_1(parent_1) child_child_1_grandchild_1(grandchild_1) child_child_1_grandchild_2(grandchild_2
__interrupt = before) child_child_2(child_2) parent_2(parent_2) - __end__([__end__]):::last + __end__([

__end__

]):::last __start__ --> parent_1; child_child_2 --> parent_2; parent_1 --> child_child_1_grandchild_1; From e235a572a0e12b4408c1ffb109a4ede9c0c56086 Mon Sep 17 00:00:00 2001 From: Christophe Bornet Date: Tue, 10 Sep 2024 02:26:29 +0200 Subject: [PATCH 31/37] community: Add docstring for KeybertLinkExtractor (#26210) Co-authored-by: Erick Friis --- .../extractors/keybert_link_extractor.py | 106 ++++++++++++++++-- 1 file changed, 99 insertions(+), 7 deletions(-) diff --git a/libs/community/langchain_community/graph_vectorstores/extractors/keybert_link_extractor.py b/libs/community/langchain_community/graph_vectorstores/extractors/keybert_link_extractor.py index 54be34d4631..90a208b9878 100644 --- a/libs/community/langchain_community/graph_vectorstores/extractors/keybert_link_extractor.py +++ b/libs/community/langchain_community/graph_vectorstores/extractors/keybert_link_extractor.py @@ -20,22 +20,114 @@ class KeybertLinkExtractor(LinkExtractor[KeybertInput]): embedding_model: str = "all-MiniLM-L6-v2", extract_keywords_kwargs: Optional[Dict[str, Any]] = None, ): - """Extract keywords using KeyBERT . + """Extract keywords using `KeyBERT `_. - Example: + KeyBERT is a minimal and easy-to-use keyword extraction technique that + leverages BERT embeddings to create keywords and keyphrases that are most + similar to a document. - .. code-block:: python + The KeybertLinkExtractor uses KeyBERT to create links between documents that + have keywords in common. - extractor = KeybertLinkExtractor() + Example:: - results = extractor.extract_one(PAGE_1) + extractor = KeybertLinkExtractor() + results = extractor.extract_one("lorem ipsum...") + + .. seealso:: + + - :mod:`How to use a graph vector store ` + - :class:`How to create links between documents ` + + How to link Documents on common keywords using Keybert + ====================================================== + + Preliminaries + ------------- + + Install the keybert package: + + .. code-block:: bash + + pip install -q langchain_community keybert + + Usage + ----- + + We load the ``state_of_the_union.txt`` file, chunk it, then for each chunk we + extract keyword links and add them to the chunk. + + Using extract_one() + ^^^^^^^^^^^^^^^^^^^ + + We can use :meth:`extract_one` on a document to get the links and add the links + to the document metadata with + :meth:`~langchain_core.graph_vectorstores.links.add_links`:: + + from langchain_community.document_loaders import TextLoader + from langchain_community.graph_vectorstores import CassandraGraphVectorStore + from langchain_community.graph_vectorstores.extractors import KeybertLinkExtractor + from langchain_core.graph_vectorstores.links import add_links + from langchain_text_splitters import CharacterTextSplitter + + loader = TextLoader("state_of_the_union.txt") + + raw_documents = loader.load() + text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) + + documents = text_splitter.split_documents(raw_documents) + keyword_extractor = KeybertLinkExtractor() + + for document in documents: + links = keyword_extractor.extract_one(document) + add_links(document, links) + + print(documents[0].metadata) + + .. code-block:: output + + {'source': 'state_of_the_union.txt', 'links': [Link(kind='kw', direction='bidir', tag='ukraine'), Link(kind='kw', direction='bidir', tag='ukrainian'), Link(kind='kw', direction='bidir', tag='putin'), Link(kind='kw', direction='bidir', tag='vladimir'), Link(kind='kw', direction='bidir', tag='russia')]} + + Using LinkExtractorTransformer + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + Using the :class:`~langchain_community.graph_vectorstores.extractors.keybert_link_extractor.LinkExtractorTransformer`, + we can simplify the link extraction:: + + from langchain_community.document_loaders import TextLoader + from langchain_community.graph_vectorstores.extractors import ( + KeybertLinkExtractor, + LinkExtractorTransformer, + ) + from langchain_text_splitters import CharacterTextSplitter + + loader = TextLoader("state_of_the_union.txt") + raw_documents = loader.load() + + text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) + documents = text_splitter.split_documents(raw_documents) + + transformer = LinkExtractorTransformer([KeybertLinkExtractor()]) + documents = transformer.transform_documents(documents) + + print(documents[0].metadata) + + .. code-block:: output + + {'source': 'state_of_the_union.txt', 'links': [Link(kind='kw', direction='bidir', tag='ukraine'), Link(kind='kw', direction='bidir', tag='ukrainian'), Link(kind='kw', direction='bidir', tag='putin'), Link(kind='kw', direction='bidir', tag='vladimir'), Link(kind='kw', direction='bidir', tag='russia')]} + + The documents with keyword links can then be added to a :class:`~langchain_core.graph_vectorstores.base.GraphVectorStore`:: + + from langchain_community.graph_vectorstores import CassandraGraphVectorStore + + store = CassandraGraphVectorStore.from_documents(documents=documents, embedding=...) Args: kind: Kind of links to produce with this extractor. embedding_model: Name of the embedding model to use with KeyBERT. extract_keywords_kwargs: Keyword arguments to pass to KeyBERT's - `extract_keywords` method. - """ + ``extract_keywords`` method. + """ # noqa: E501 try: import keybert From 56580b5fff81cf467a90072a8d54272def9049c0 Mon Sep 17 00:00:00 2001 From: Christophe Bornet Date: Tue, 10 Sep 2024 02:27:23 +0200 Subject: [PATCH 32/37] community: Add docstring for GLiNERLinkExtractor (#26218) Co-authored-by: Erick Friis --- .../extractors/gliner_link_extractor.py | 129 +++++++++++++++--- 1 file changed, 111 insertions(+), 18 deletions(-) diff --git a/libs/community/langchain_community/graph_vectorstores/extractors/gliner_link_extractor.py b/libs/community/langchain_community/graph_vectorstores/extractors/gliner_link_extractor.py index a485f849c7a..9d567a1f8d4 100644 --- a/libs/community/langchain_community/graph_vectorstores/extractors/gliner_link_extractor.py +++ b/libs/community/langchain_community/graph_vectorstores/extractors/gliner_link_extractor.py @@ -14,7 +14,117 @@ GLiNERInput = Union[str, Document] @beta() class GLiNERLinkExtractor(LinkExtractor[GLiNERInput]): - """Link documents with common named entities using GLiNER .""" + """Link documents with common named entities using `GLiNER`_. + + `GLiNER`_ is a Named Entity Recognition (NER) model capable of identifying any + entity type using a bidirectional transformer encoder (BERT-like). + + The ``GLiNERLinkExtractor`` uses GLiNER to create links between documents that + have named entities in common. + + Example:: + + extractor = GLiNERLinkExtractor( + labels=["Person", "Award", "Date", "Competitions", "Teams"] + ) + results = extractor.extract_one("some long text...") + + .. _GLiNER: https://github.com/urchade/GLiNER + + .. seealso:: + + - :mod:`How to use a graph vector store ` + - :class:`How to create links between documents ` + + How to link Documents on common named entities + ============================================== + + Preliminaries + ------------- + + Install the ``gliner`` package: + + .. code-block:: bash + + pip install -q langchain_community gliner + + Usage + ----- + + We load the ``state_of_the_union.txt`` file, chunk it, then for each chunk we + extract named entity links and add them to the chunk. + + Using extract_one() + ^^^^^^^^^^^^^^^^^^^ + + We can use :meth:`extract_one` on a document to get the links and add the links + to the document metadata with + :meth:`~langchain_core.graph_vectorstores.links.add_links`:: + + from langchain_community.document_loaders import TextLoader + from langchain_community.graph_vectorstores import CassandraGraphVectorStore + from langchain_community.graph_vectorstores.extractors import GLiNERLinkExtractor + from langchain_core.graph_vectorstores.links import add_links + from langchain_text_splitters import CharacterTextSplitter + + loader = TextLoader("state_of_the_union.txt") + raw_documents = loader.load() + + text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) + documents = text_splitter.split_documents(raw_documents) + + ner_extractor = GLiNERLinkExtractor(["Person", "Topic"]) + for document in documents: + links = ner_extractor.extract_one(document) + add_links(document, links) + + print(documents[0].metadata) + + .. code-block:: output + + {'source': 'state_of_the_union.txt', 'links': [Link(kind='entity:Person', direction='bidir', tag='President Zelenskyy'), Link(kind='entity:Person', direction='bidir', tag='Vladimir Putin')]} + + Using LinkExtractorTransformer + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + Using the :class:`~langchain_community.graph_vectorstores.extractors.keybert_link_extractor.LinkExtractorTransformer`, + we can simplify the link extraction:: + + from langchain_community.document_loaders import TextLoader + from langchain_community.graph_vectorstores.extractors import ( + GLiNERLinkExtractor, + LinkExtractorTransformer, + ) + from langchain_text_splitters import CharacterTextSplitter + + loader = TextLoader("state_of_the_union.txt") + raw_documents = loader.load() + + text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) + documents = text_splitter.split_documents(raw_documents) + + ner_extractor = GLiNERLinkExtractor(["Person", "Topic"]) + transformer = LinkExtractorTransformer([ner_extractor]) + documents = transformer.transform_documents(documents) + + print(documents[0].metadata) + + .. code-block:: output + + {'source': 'state_of_the_union.txt', 'links': [Link(kind='entity:Person', direction='bidir', tag='President Zelenskyy'), Link(kind='entity:Person', direction='bidir', tag='Vladimir Putin')]} + + The documents with named entity links can then be added to a :class:`~langchain_core.graph_vectorstores.base.GraphVectorStore`:: + + from langchain_community.graph_vectorstores import CassandraGraphVectorStore + + store = CassandraGraphVectorStore.from_documents(documents=documents, embedding=...) + + Args: + labels: List of kinds of entities to extract. + kind: Kind of links to produce with this extractor. + model: GLiNER model to use. + extract_kwargs: Keyword arguments to pass to GLiNER. + """ # noqa: E501 def __init__( self, @@ -24,23 +134,6 @@ class GLiNERLinkExtractor(LinkExtractor[GLiNERInput]): model: str = "urchade/gliner_mediumv2.1", extract_kwargs: Optional[Dict[str, Any]] = None, ): - """Extract keywords using GLiNER. - - Example: - - .. code-block:: python - - extractor = GLiNERLinkExtractor( - labels=["Person", "Award", "Date", "Competitions", "Teams"] - ) - results = extractor.extract_one("some long text...") - - Args: - labels: List of kinds of entities to extract. - kind: Kind of links to produce with this extractor. - model: GLiNER model to use. - extract_kwargs: Keyword arguments to pass to GLiNER. - """ try: from gliner import GLiNER From 9cf7ae0a5208916958f1ecb09b59021c79f89654 Mon Sep 17 00:00:00 2001 From: Christophe Bornet Date: Tue, 10 Sep 2024 02:27:37 +0200 Subject: [PATCH 33/37] community: Add docstring for HtmlLinkExtractor (#26213) Co-authored-by: Erick Friis --- .../extractors/html_link_extractor.py | 177 +++++++++++++++++- 1 file changed, 171 insertions(+), 6 deletions(-) diff --git a/libs/community/langchain_community/graph_vectorstores/extractors/html_link_extractor.py b/libs/community/langchain_community/graph_vectorstores/extractors/html_link_extractor.py index bc820958473..270de351e6e 100644 --- a/libs/community/langchain_community/graph_vectorstores/extractors/html_link_extractor.py +++ b/libs/community/langchain_community/graph_vectorstores/extractors/html_link_extractor.py @@ -69,11 +69,175 @@ class HtmlLinkExtractor(LinkExtractor[HtmlInput]): Expects the input to be an HTML string or a `BeautifulSoup` object. + Example:: + + extractor = HtmlLinkExtractor() + results = extractor.extract_one(HtmlInput(html, url)) + + .. seealso:: + + - :mod:`How to use a graph vector store ` + - :class:`How to create links between documents ` + + How to link Documents on hyperlinks in HTML + =========================================== + + Preliminaries + ------------- + + Install the ``beautifulsoup4`` package: + + .. code-block:: bash + + pip install -q langchain_community beautifulsoup4 + + Usage + ----- + + For this example, we'll scrape 2 HTML pages that have an hyperlink from one + page to the other using an ``AsyncHtmlLoader``. + Then we use the ``HtmlLinkExtractor`` to create the links in the documents. + + Using extract_one() + ^^^^^^^^^^^^^^^^^^^ + + We can use :meth:`extract_one` on a document to get the links and add the links + to the document metadata with + :meth:`~langchain_core.graph_vectorstores.links.add_links`:: + + from langchain_community.document_loaders import AsyncHtmlLoader + from langchain_community.graph_vectorstores.extractors import ( + HtmlInput, + HtmlLinkExtractor, + ) + from langchain_community.graph_vectorstores.links import add_links + from langchain_core.documents import Document + + loader = AsyncHtmlLoader( + [ + "https://python.langchain.com/v0.2/docs/integrations/providers/astradb/", + "https://docs.datastax.com/en/astra/home/astra.html", + ] + ) + + documents = loader.load() + + html_extractor = HtmlLinkExtractor() + + for doc in documents: + links = html_extractor.extract_one(HtmlInput(doc.page_content, url)) + add_links(doc, links) + + documents[0].metadata["links"][:5] + + .. code-block:: output + + [Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/integrations/providers/spreedly/'), + Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/integrations/providers/nvidia/'), + Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/integrations/providers/ray_serve/'), + Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/integrations/providers/bageldb/'), + Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/introduction/')] + + Using as_document_extractor() + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + If you use a document loader that returns the raw HTML and that sets the source + key in the document metadata such as ``AsyncHtmlLoader``, + you can simplify by using :meth:`as_document_extractor` that takes directly a + ``Document`` as input:: + + from langchain_community.document_loaders import AsyncHtmlLoader + from langchain_community.graph_vectorstores.extractors import HtmlLinkExtractor + from langchain_core.graph_vectorstores.links import add_links + + loader = AsyncHtmlLoader( + [ + "https://python.langchain.com/v0.2/docs/integrations/providers/astradb/", + "https://docs.datastax.com/en/astra/home/astra.html", + ] + ) + documents = loader.load() + html_extractor = HtmlLinkExtractor().as_document_extractor() + + for document in documents: + links = html_extractor.extract_one(document) + add_links(document, links) + + documents[0].metadata["links"][:5] + + .. code-block:: output + + [Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/integrations/providers/spreedly/'), + Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/integrations/providers/nvidia/'), + Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/integrations/providers/ray_serve/'), + Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/integrations/providers/bageldb/'), + Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/introduction/')] + + Using LinkExtractorTransformer + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + Using the :class:`~langchain_community.graph_vectorstores.extractors.keybert_link_extractor.LinkExtractorTransformer`, + we can simplify the link extraction:: + + from langchain_community.document_loaders import AsyncHtmlLoader + from langchain_community.graph_vectorstores.extractors import ( + HtmlLinkExtractor, + LinkExtractorTransformer, + ) + from langchain_community.graph_vectorstores.links import add_links + + loader = AsyncHtmlLoader( + [ + "https://python.langchain.com/v0.2/docs/integrations/providers/astradb/", + "https://docs.datastax.com/en/astra/home/astra.html", + ] + ) + + documents = loader.load() + transformer = LinkExtractorTransformer([HtmlLinkExtractor().as_document_extractor()]) + documents = transformer.transform_documents(documents) + + documents[0].metadata["links"][:5] + + .. code-block:: output + + [Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/integrations/providers/spreedly/'), + Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/integrations/providers/nvidia/'), + Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/integrations/providers/ray_serve/'), + Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/integrations/providers/bageldb/'), + Link(kind='hyperlink', direction='out', tag='https://python.langchain.com/v0.2/docs/introduction/')] + + We can check that there is a link from the first document to the second:: + + for doc_to in documents: + for link_to in doc_to.metadata["links"]: + if link_to.direction == "in": + for doc_from in documents: + for link_from in doc_from.metadata["links"]: + if ( + link_to.direction == "in" + and link_from.direction == "out" + and link_to.tag == link_from.tag + ): + print( + f"Found link from {doc_from.metadata['source']} to {doc_to.metadata['source']}." + ) + + .. code-block:: output + + Found link from https://python.langchain.com/v0.2/docs/integrations/providers/astradb/ to https://docs.datastax.com/en/astra/home/astra.html. + + The documents with URL links can then be added to a :class:`~langchain_core.graph_vectorstores.base.GraphVectorStore`:: + + from langchain_community.graph_vectorstores import CassandraGraphVectorStore + + store = CassandraGraphVectorStore.from_documents(documents=documents, embedding=...) + Args: - kind: The kind of edge to extract. Defaults to "hyperlink". + kind: The kind of edge to extract. Defaults to ``hyperlink``. drop_fragments: Whether fragments in URLs and links should be - dropped. Defaults to `True`. - """ + dropped. Defaults to ``True``. + """ # noqa: E501 try: import bs4 # noqa:F401 except ImportError as e: @@ -90,9 +254,10 @@ class HtmlLinkExtractor(LinkExtractor[HtmlInput]): ) -> LinkExtractor[Document]: """Return a LinkExtractor that applies to documents. - NOTE: Since the HtmlLinkExtractor parses HTML, if you use with other similar - link extractors it may be more efficient to call the link extractors directly - on the parsed BeautifulSoup object. + Note: + Since the HtmlLinkExtractor parses HTML, if you use with other similar + link extractors it may be more efficient to call the link extractors + directly on the parsed BeautifulSoup object. Args: url_metadata_key: The name of the filed in document metadata with the URL of From fa229d6c026f7d18fea6e9695f4a6dd86d6c42a3 Mon Sep 17 00:00:00 2001 From: venkatram-dev <45727389+venkatram-dev@users.noreply.github.com> Date: Mon, 9 Sep 2024 17:39:29 -0700 Subject: [PATCH 34/37] docs: fix_typo_llm_chain_tutorial (#26229) Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" docs:tutorials:llm_chain:fix typo - [ ] **PR message**: fix typo in llm chain tutorial - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. Co-authored-by: Erick Friis --- docs/docs/tutorials/llm_chain.ipynb | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/docs/docs/tutorials/llm_chain.ipynb b/docs/docs/tutorials/llm_chain.ipynb index 3236d2c5811..ef6c92e6561 100644 --- a/docs/docs/tutorials/llm_chain.ipynb +++ b/docs/docs/tutorials/llm_chain.ipynb @@ -95,7 +95,7 @@ "source": [ "## Using Language Models\n", "\n", - "First up, let's learn how to use a language model by itself. LangChain supports many different language models that you can use interchangably - select the one you want to use below!\n", + "First up, let's learn how to use a language model by itself. LangChain supports many different language models that you can use interchangeably - select the one you want to use below!\n", "\n", "```{=mdx}\n", "import ChatModelTabs from \"@theme/ChatModelTabs\";\n", @@ -159,9 +159,7 @@ "cell_type": "markdown", "id": "f83373db", "metadata": {}, - "source": [ - "If we've enable LangSmith, we can see that this run is logged to LangSmith, and can see the [LangSmith trace](https://smith.langchain.com/public/88baa0b2-7c1a-4d09-ba30-a47985dde2ea/r)" - ] + "source": "If we've enabled LangSmith, we can see that this run is logged to LangSmith, and can see the [LangSmith trace](https://smith.langchain.com/public/88baa0b2-7c1a-4d09-ba30-a47985dde2ea/r)" }, { "cell_type": "markdown", From 16d41eab1ec3cd9b86ea806f8f7e7f35c8091fe3 Mon Sep 17 00:00:00 2001 From: Emad Rad Date: Tue, 10 Sep 2024 04:22:20 +0330 Subject: [PATCH 35/37] docs: typos fixed (#26234) While going through the chatbot tutorial, I noticed a couple of typos and grammatical issues. Also, the pip install command for langchain_community was commented out, but the document mentions installing it. --------- Co-authored-by: Erick Friis --- docs/docs/tutorials/chatbot.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/docs/tutorials/chatbot.ipynb b/docs/docs/tutorials/chatbot.ipynb index 05f73ef9525..996892c9bc1 100644 --- a/docs/docs/tutorials/chatbot.ipynb +++ b/docs/docs/tutorials/chatbot.ipynb @@ -105,7 +105,7 @@ "\n", "## Quickstart\n", "\n", - "First up, let's learn how to use a language model by itself. LangChain supports many different language models that you can use interchangably - select the one you want to use below!\n", + "First up, let's learn how to use a language model by itself. LangChain supports many different language models that you can use interchangeably - select the one you want to use below!\n", "\n", "```{=mdx}\n", "import ChatModelTabs from \"@theme/ChatModelTabs\";\n", @@ -254,7 +254,7 @@ "metadata": {}, "outputs": [], "source": [ - "# ! pip install langchain_community" + "%pip install langchain_community" ] }, { @@ -952,7 +952,7 @@ "source": [ "## Streaming\n", "\n", - "Now we've got a function chatbot. However, one *really* important UX consideration for chatbot application is streaming. LLMs can sometimes take a while to respond, and so in order to improve the user experience one thing that most application do is stream back each token as it is generated. This allows the user to see progress.\n", + "Now we've got a functioning chatbot. However, one *really* important UX consideration for chatbot applications is streaming. LLMs can sometimes take a while to respond, and so in order to improve the user experience one thing that most applications do is stream back each token as it is generated. This allows the user to see progress.\n", "\n", "It's actually super easy to do this!\n", "\n", From 4ffd27c4d039bced242fa564c6999fdda2671077 Mon Sep 17 00:00:00 2001 From: ccurme Date: Tue, 10 Sep 2024 14:31:51 -0400 Subject: [PATCH 36/37] huggingface[patch]: add integration tests (#26269) Add standard tests for ChatHuggingFace. About half of these fail currently. --- .github/workflows/_integration_test.yml | 1 + .github/workflows/_release.yml | 1 + .github/workflows/scheduled_test.yml | 1 + .../tests/integration_tests/test_standard.py | 78 +++++++++++++++++++ 4 files changed, 81 insertions(+) create mode 100644 libs/partners/huggingface/tests/integration_tests/test_standard.py diff --git a/.github/workflows/_integration_test.yml b/.github/workflows/_integration_test.yml index 05971e1dfc5..40b0ec5344e 100644 --- a/.github/workflows/_integration_test.yml +++ b/.github/workflows/_integration_test.yml @@ -67,6 +67,7 @@ jobs: NVIDIA_API_KEY: ${{ secrets.NVIDIA_API_KEY }} GOOGLE_SEARCH_API_KEY: ${{ secrets.GOOGLE_SEARCH_API_KEY }} GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }} + HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }} EXA_API_KEY: ${{ secrets.EXA_API_KEY }} NOMIC_API_KEY: ${{ secrets.NOMIC_API_KEY }} WATSONX_APIKEY: ${{ secrets.WATSONX_APIKEY }} diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml index 68da8c3a704..d3efddf67eb 100644 --- a/.github/workflows/_release.yml +++ b/.github/workflows/_release.yml @@ -273,6 +273,7 @@ jobs: GOOGLE_SEARCH_API_KEY: ${{ secrets.GOOGLE_SEARCH_API_KEY }} GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }} GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }} + HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }} EXA_API_KEY: ${{ secrets.EXA_API_KEY }} NOMIC_API_KEY: ${{ secrets.NOMIC_API_KEY }} WATSONX_APIKEY: ${{ secrets.WATSONX_APIKEY }} diff --git a/.github/workflows/scheduled_test.yml b/.github/workflows/scheduled_test.yml index 61e1b3d25a6..b317a48e515 100644 --- a/.github/workflows/scheduled_test.yml +++ b/.github/workflows/scheduled_test.yml @@ -90,6 +90,7 @@ jobs: AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME }} FIREWORKS_API_KEY: ${{ secrets.FIREWORKS_API_KEY }} GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }} + HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }} MISTRAL_API_KEY: ${{ secrets.MISTRAL_API_KEY }} COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }} NVIDIA_API_KEY: ${{ secrets.NVIDIA_API_KEY }} diff --git a/libs/partners/huggingface/tests/integration_tests/test_standard.py b/libs/partners/huggingface/tests/integration_tests/test_standard.py new file mode 100644 index 00000000000..f9180b47711 --- /dev/null +++ b/libs/partners/huggingface/tests/integration_tests/test_standard.py @@ -0,0 +1,78 @@ +"""Standard LangChain interface tests""" + +from typing import Type + +import pytest +from langchain_core.language_models import BaseChatModel +from langchain_standard_tests.integration_tests import ChatModelIntegrationTests + +from langchain_huggingface import ChatHuggingFace, HuggingFaceEndpoint + + +class TestHuggingFaceEndpoint(ChatModelIntegrationTests): + @property + def chat_model_class(self) -> Type[BaseChatModel]: + return ChatHuggingFace + + @property + def chat_model_params(self) -> dict: + return {} + + @pytest.fixture + def model(self) -> BaseChatModel: + llm = HuggingFaceEndpoint( # type: ignore[call-arg] + repo_id="HuggingFaceH4/zephyr-7b-beta", + task="text-generation", + max_new_tokens=512, + do_sample=False, + repetition_penalty=1.03, + ) + return self.chat_model_class(llm=llm) # type: ignore[call-arg] + + @pytest.mark.xfail(reason=("Not implemented")) + def test_stream(self, model: BaseChatModel) -> None: + super().test_stream(model) + + @pytest.mark.xfail(reason=("Not implemented")) + async def test_astream(self, model: BaseChatModel) -> None: + await super().test_astream(model) + + @pytest.mark.xfail(reason=("Not implemented")) + def test_usage_metadata(self, model: BaseChatModel) -> None: + super().test_usage_metadata(model) + + @pytest.mark.xfail(reason=("Not implemented")) + def test_usage_metadata_streaming(self, model: BaseChatModel) -> None: + super().test_usage_metadata_streaming(model) + + @pytest.mark.xfail(reason=("Not implemented")) + def test_stop_sequence(self, model: BaseChatModel) -> None: + super().test_stop_sequence(model) + + @pytest.mark.xfail(reason=("Not implemented")) + def test_tool_calling(self, model: BaseChatModel) -> None: + super().test_tool_calling(model) + + @pytest.mark.xfail(reason=("Not implemented")) + def test_tool_calling_with_no_arguments(self, model: BaseChatModel) -> None: + super().test_tool_calling_with_no_arguments(model) + + @pytest.mark.xfail(reason=("Not implemented")) + def test_bind_runnables_as_tools(self, model: BaseChatModel) -> None: + super().test_bind_runnables_as_tools(model) + + @pytest.mark.xfail(reason=("Not implemented")) + def test_structured_output(self, model: BaseChatModel) -> None: + super().test_structured_output(model) + + @pytest.mark.xfail(reason=("Not implemented")) + def test_structured_output_pydantic_2_v1(self, model: BaseChatModel) -> None: + super().test_structured_output_pydantic_2_v1(model) + + @pytest.mark.xfail(reason=("Not implemented")) + def test_tool_message_histories_list_content(self, model: BaseChatModel) -> None: + super().test_tool_message_histories_list_content(model) + + @pytest.mark.xfail(reason=("Not implemented")) + def test_structured_few_shot_examples(self, model: BaseChatModel) -> None: + super().test_structured_few_shot_examples(model) From 979232257be64231236a52a4e86ae4bacfde3f1e Mon Sep 17 00:00:00 2001 From: ccurme Date: Tue, 10 Sep 2024 14:57:16 -0400 Subject: [PATCH 37/37] huggingface[patch]: add integration tests for embeddings (#26272) --- .../test_embeddings_standard.py | 30 +++++++++++++++++++ 1 file changed, 30 insertions(+) create mode 100644 libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py diff --git a/libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py b/libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py new file mode 100644 index 00000000000..4f5cefcbdff --- /dev/null +++ b/libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py @@ -0,0 +1,30 @@ +"""Test HuggingFace embeddings.""" + +from typing import Type + +from langchain_standard_tests.integration_tests import EmbeddingsIntegrationTests + +from langchain_huggingface.embeddings import ( + HuggingFaceEmbeddings, + HuggingFaceEndpointEmbeddings, +) + + +class TestHuggingFaceEmbeddings(EmbeddingsIntegrationTests): + @property + def embeddings_class(self) -> Type[HuggingFaceEmbeddings]: + return HuggingFaceEmbeddings + + @property + def embedding_model_params(self) -> dict: + return {"model_name": "sentence-transformers/all-mpnet-base-v2"} + + +class TestHuggingFaceEndpointEmbeddings(EmbeddingsIntegrationTests): + @property + def embeddings_class(self) -> Type[HuggingFaceEndpointEmbeddings]: + return HuggingFaceEndpointEmbeddings + + @property + def embedding_model_params(self) -> dict: + return {"model": "sentence-transformers/all-mpnet-base-v2"}