From 49914e959ac2dcbaf0f581e726c4648f66252257 Mon Sep 17 00:00:00 2001 From: Bagatur <22008038+baskaryan@users.noreply.github.com> Date: Mon, 2 Dec 2024 08:23:37 -0800 Subject: [PATCH 01/21] community[patch]: Release 0.3.9 (#28451) --- libs/community/pyproject.toml | 27 ++++++++------------------- 1 file changed, 8 insertions(+), 19 deletions(-) diff --git a/libs/community/pyproject.toml b/libs/community/pyproject.toml index 6ba33d540d1..f19f23b62de 100644 --- a/libs/community/pyproject.toml +++ b/libs/community/pyproject.toml @@ -1,10 +1,10 @@ [build-system] -requires = ["poetry-core>=1.0.0"] +requires = [ "poetry-core>=1.0.0",] build-backend = "poetry.core.masonry.api" [tool.poetry] name = "langchain-community" -version = "0.3.8" +version = "0.3.9" description = "Community contributed LangChain integrations." authors = [] license = "MIT" @@ -12,15 +12,12 @@ readme = "README.md" repository = "https://github.com/langchain-ai/langchain" [tool.ruff] -exclude = [ - "tests/examples/non-utf8-encoding.py", - "tests/integration_tests/examples/non-utf8-encoding.py", -] +exclude = [ "tests/examples/non-utf8-encoding.py", "tests/integration_tests/examples/non-utf8-encoding.py",] [tool.mypy] ignore_missing_imports = "True" disallow_untyped_defs = "True" -exclude = ["notebooks", "examples", "example_data"] +exclude = [ "notebooks", "examples", "example_data",] [tool.codespell] skip = ".git,*.pdf,*.svg,*.pdf,*.yaml,*.ipynb,poetry.lock,*.min.js,*.css,package-lock.json,example_data,_dist,examples,*.trig" @@ -53,24 +50,16 @@ version = ">=1.26.2,<3" python = ">=3.12" [tool.ruff.lint] -select = ["E", "F", "I", "T201"] +select = [ "E", "F", "I", "T201",] [tool.coverage.run] -omit = ["tests/*"] +omit = [ "tests/*",] [tool.pytest.ini_options] addopts = "--strict-markers --strict-config --durations=5 --snapshot-warn-unused -vv" -markers = [ - "requires: mark tests as requiring a specific library", - "scheduled: mark tests to run in scheduled testing", - "compile: mark placeholder test used to compile integration tests without running them", -] +markers = [ "requires: mark tests as requiring a specific library", "scheduled: mark tests to run in scheduled testing", "compile: mark placeholder test used to compile integration tests without running them",] asyncio_mode = "auto" -filterwarnings = [ - "ignore::langchain_core._api.beta_decorator.LangChainBetaWarning", - "ignore::langchain_core._api.deprecation.LangChainDeprecationWarning:test", - "ignore::langchain_core._api.deprecation.LangChainPendingDeprecationWarning:test", -] +filterwarnings = [ "ignore::langchain_core._api.beta_decorator.LangChainBetaWarning", "ignore::langchain_core._api.deprecation.LangChainDeprecationWarning:test", "ignore::langchain_core._api.deprecation.LangChainPendingDeprecationWarning:test",] [tool.poetry.group.test] optional = true From 47433485e7fd182e37fdca9d333661c917f0632b Mon Sep 17 00:00:00 2001 From: Bagatur <22008038+baskaryan@users.noreply.github.com> Date: Mon, 2 Dec 2024 08:26:28 -0800 Subject: [PATCH 02/21] mistral[patch]: Release 0.2.3 (#28452) --- libs/partners/mistralai/poetry.lock | 420 ++++++++++++++----------- libs/partners/mistralai/pyproject.toml | 15 +- 2 files changed, 241 insertions(+), 194 deletions(-) diff --git a/libs/partners/mistralai/poetry.lock b/libs/partners/mistralai/poetry.lock index 6b1ddcf657e..152e34f833a 100644 --- a/libs/partners/mistralai/poetry.lock +++ b/libs/partners/mistralai/poetry.lock @@ -325,13 +325,13 @@ files = [ [[package]] name = "huggingface-hub" -version = "0.26.2" +version = "0.26.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" files = [ - {file = "huggingface_hub-0.26.2-py3-none-any.whl", hash = "sha256:98c2a5a8e786c7b2cb6fdeb2740893cba4d53e312572ed3d8afafda65b128c46"}, - {file = "huggingface_hub-0.26.2.tar.gz", hash = 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"tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, + {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, ] [package.dependencies] colorama = {version = "*", markers = "platform_system == \"Windows\""} [package.extras] -dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"] +dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"] discord = ["requests"] notebook = ["ipywidgets (>=6)"] slack = ["slack-sdk"] @@ -1117,4 +1167,4 @@ watchmedo = ["PyYAML (>=3.10)"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "4a86b5a8d678aa583d949272e47d16b9a1ecde22ce590d903bcb1a386dc4ecdf" +content-hash = "a89781c86a72349bba46de58ba88102bf2ae1f58a9b0fe79d952caecb656a585" diff --git a/libs/partners/mistralai/pyproject.toml b/libs/partners/mistralai/pyproject.toml index b2ae7a83bfd..8060a88fc69 100644 --- a/libs/partners/mistralai/pyproject.toml +++ b/libs/partners/mistralai/pyproject.toml @@ -1,10 +1,10 @@ [build-system] -requires = ["poetry-core>=1.0.0"] +requires = [ "poetry-core>=1.0.0",] build-backend = "poetry.core.masonry.api" [tool.poetry] name = "langchain-mistralai" -version = "0.2.2" +version = "0.2.3" description = "An integration package connecting Mistral and LangChain" authors = [] readme = "README.md" @@ -20,24 +20,21 @@ disallow_untyped_defs = "True" [tool.poetry.dependencies] python = ">=3.9,<4.0" -langchain-core = "^0.3.15" +langchain-core = "^0.3.21" tokenizers = ">=0.15.1,<1" httpx = ">=0.25.2,<1" httpx-sse = ">=0.3.1,<1" pydantic = ">=2,<3" [tool.ruff.lint] -select = ["E", "F", "I", "T201"] +select = [ "E", "F", "I", "T201",] [tool.coverage.run] -omit = ["tests/*"] +omit = [ "tests/*",] [tool.pytest.ini_options] addopts = "--strict-markers --strict-config --durations=5" -markers = [ - "requires: mark tests as requiring a specific library", - "compile: mark placeholder test used to compile integration tests without running them", -] +markers = [ "requires: mark tests as requiring a specific library", "compile: mark placeholder test used to compile integration tests without running them",] asyncio_mode = "auto" [tool.poetry.group.test] From e294e7159ae78afc2d6f7568d97d0df00373f1ad Mon Sep 17 00:00:00 2001 From: chistokir <115716367+chistokir@users.noreply.github.com> Date: Mon, 2 Dec 2024 17:05:28 +0000 Subject: [PATCH 03/21] Update mistralai.ipynb (#28440) Just fixing a broken link Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, etc. is being modified. Use "docs: ..." for purely docs changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: ccurme --- docs/docs/integrations/chat/mistralai.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/integrations/chat/mistralai.ipynb b/docs/docs/integrations/chat/mistralai.ipynb index d399f416da8..8ed4de91727 100644 --- a/docs/docs/integrations/chat/mistralai.ipynb +++ b/docs/docs/integrations/chat/mistralai.ipynb @@ -39,7 +39,7 @@ "### Credentials\n", "\n", "\n", - "A valid [API key](https://console.mistral.ai/users/api-keys/) is needed to communicate with the API. Once you've done this set the MISTRAL_API_KEY environment variable:" + "A valid [API key](https://console.mistral.ai/api-keys/) is needed to communicate with the API. Once you've done this set the MISTRAL_API_KEY environment variable:" ] }, { From 58d2bfe3103b910746d39f1f53cbb3c26696014c Mon Sep 17 00:00:00 2001 From: Riccardo Cocetta Date: Mon, 2 Dec 2024 18:29:06 +0100 Subject: [PATCH 04/21] docs: fixed a variable name in embeddings section (#28434) This is a simple change for a variable name in the Embeddings section of this document: https://python.langchain.com/docs/tutorials/retrievers/#embeddings . The variable name `embeddings_model` seems to be wrong and doesn't match what follows in the template: `embeddings`. --- docs/docs/tutorials/retrievers.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/tutorials/retrievers.ipynb b/docs/docs/tutorials/retrievers.ipynb index a57ea3d91d2..fa2eca88469 100644 --- a/docs/docs/tutorials/retrievers.ipynb +++ b/docs/docs/tutorials/retrievers.ipynb @@ -245,7 +245,7 @@ "\n", "import EmbeddingTabs from \"@theme/EmbeddingTabs\";\n", "\n", - "" + "" ] }, { From e5b4f9ad75d263e55612e9cc51aa237622c28a32 Mon Sep 17 00:00:00 2001 From: Prithvi Kannan <46332835+prithvikannan@users.noreply.github.com> Date: Mon, 2 Dec 2024 10:19:30 -0800 Subject: [PATCH 05/21] docs: Add ChatDatabricks to llm models (#28398) Thank you for contributing to LangChain! Add `ChatDatabricks` to the list of LLM models options. 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. --------- Signed-off-by: Prithvi Kannan Co-authored-by: Chester Curme --- docs/src/theme/ChatModelTabs.js | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/docs/src/theme/ChatModelTabs.js b/docs/src/theme/ChatModelTabs.js index 162723942aa..f9efa57e97c 100644 --- a/docs/src/theme/ChatModelTabs.js +++ b/docs/src/theme/ChatModelTabs.js @@ -15,6 +15,7 @@ import CodeBlock from "@theme-original/CodeBlock"; * @property {string} [googleParams] - Parameters for Google chat model. Defaults to `model="gemini-pro"` * @property {string} [togetherParams] - Parameters for Together chat model. Defaults to `model="mistralai/Mixtral-8x7B-Instruct-v0.1"` * @property {string} [nvidiaParams] - Parameters for Nvidia NIM model. Defaults to `model="meta/llama3-70b-instruct"` + * @property {string} [databricksParams] - Parameters for Databricks model. Defaults to `endpoint="databricks-meta-llama-3-1-70b-instruct"` * @property {string} [awsBedrockParams] - Parameters for AWS Bedrock chat model. * @property {boolean} [hideOpenai] - Whether or not to hide OpenAI chat model. * @property {boolean} [hideAnthropic] - Whether or not to hide Anthropic chat model. @@ -27,6 +28,7 @@ import CodeBlock from "@theme-original/CodeBlock"; * @property {boolean} [hideAzure] - Whether or not to hide Microsoft Azure OpenAI chat model. * @property {boolean} [hideNvidia] - Whether or not to hide NVIDIA NIM model. * @property {boolean} [hideAWS] - Whether or not to hide AWS models. + * @property {boolean} [hideDatabricks] - Whether or not to hide Databricks models. * @property {string} [customVarName] - Custom variable name for the model. Defaults to `model`. */ @@ -46,6 +48,7 @@ export default function ChatModelTabs(props) { azureParams, nvidiaParams, awsBedrockParams, + databricksParams, hideOpenai, hideAnthropic, hideCohere, @@ -57,6 +60,7 @@ export default function ChatModelTabs(props) { hideAzure, hideNvidia, hideAWS, + hideDatabricks, customVarName, } = props; @@ -79,6 +83,7 @@ export default function ChatModelTabs(props) { `\n azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],\n azure_deployment=os.environ["AZURE_OPENAI_DEPLOYMENT_NAME"],\n openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"],\n`; const nvidiaParamsOrDefault = nvidiaParams ?? `model="meta/llama3-70b-instruct"` const awsBedrockParamsOrDefault = awsBedrockParams ?? `model="anthropic.claude-3-5-sonnet-20240620-v1:0",\n beta_use_converse_api=True`; + const databricksParamsOrDefault = databricksParams ?? `endpoint="databricks-meta-llama-3-1-70b-instruct"` const llmVarName = customVarName ?? "model"; @@ -182,6 +187,15 @@ export default function ChatModelTabs(props) { default: false, shouldHide: hideTogether, }, + { + value: "Databricks", + label: "Databricks", + text: `from databricks_langchain import ChatDatabricks\n\nos.environ["DATABRICKS_HOST"] = "https://example.staging.cloud.databricks.com/serving-endpoints"\n\n${llmVarName} = ChatDatabricks(${databricksParamsOrDefault})`, + apiKeyName: "DATABRICKS_TOKEN", + packageName: "databricks-langchain", + default: false, + shouldHide: hideDatabricks, + }, ]; return ( From c953f93c54fdf80e98800e2d660f74a3170d2fa5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=C3=9Clgen=20Sar=C4=B1kavak?= Date: Mon, 2 Dec 2024 22:01:13 +0300 Subject: [PATCH 06/21] infra: Update Poetry version, to current latest (1.8.4) (#28194) Update all Poetry versions to the current latest, 1.8.4 . I was checking how lock files are managed and found out that even though the files are generated - updated with the current latest version of Poetry, the version used in CI and Dockerfile was outdated. * https://github.com/langchain-ai/langchain/pull/28061/files#diff-e00422d37a73d07c174e7838ad7c30f642d06305aff8f9d71e1e84c6897efbffL1 * https://github.com/langchain-ai/langchain/pull/28070/files#diff-55267c883e58892916d5316bc029725fdeeba5a77e2557cf7667793823d9d9c6L1 * https://github.com/langchain-ai/langchain/pull/27991/files#diff-9f96b8fd39133c3f1d737e013c9042b065b42ae04b3da76902304f30cec136d8R1 Co-authored-by: Erick Friis --- .github/workflows/_compile_integration_test.yml | 2 +- .github/workflows/_integration_test.yml | 2 +- .github/workflows/_lint.yml | 2 +- .github/workflows/_release.yml | 2 +- .github/workflows/_test.yml | 2 +- .github/workflows/_test_doc_imports.yml | 2 +- .github/workflows/_test_pydantic.yml | 2 +- .github/workflows/_test_release.yml | 2 +- .github/workflows/api_doc_build.yml | 2 +- .github/workflows/check_diffs.yml | 2 +- .github/workflows/run_notebooks.yml | 2 +- .github/workflows/scheduled_test.yml | 2 +- 12 files changed, 12 insertions(+), 12 deletions(-) diff --git a/.github/workflows/_compile_integration_test.yml b/.github/workflows/_compile_integration_test.yml index 4d2d772c856..aed2bc50984 100644 --- a/.github/workflows/_compile_integration_test.yml +++ b/.github/workflows/_compile_integration_test.yml @@ -13,7 +13,7 @@ on: description: "Python version to use" env: - POETRY_VERSION: "1.7.1" + POETRY_VERSION: "1.8.4" jobs: build: diff --git a/.github/workflows/_integration_test.yml b/.github/workflows/_integration_test.yml index 7f9ea8ddf57..798ea62b44e 100644 --- a/.github/workflows/_integration_test.yml +++ b/.github/workflows/_integration_test.yml @@ -12,7 +12,7 @@ on: description: "Python version to use" env: - POETRY_VERSION: "1.7.1" + POETRY_VERSION: "1.8.4" jobs: build: diff --git a/.github/workflows/_lint.yml b/.github/workflows/_lint.yml index 057959d5fcc..a72bf685573 100644 --- a/.github/workflows/_lint.yml +++ b/.github/workflows/_lint.yml @@ -13,7 +13,7 @@ on: description: "Python version to use" env: - POETRY_VERSION: "1.7.1" + POETRY_VERSION: "1.8.4" WORKDIR: ${{ inputs.working-directory == '' && '.' || inputs.working-directory }} # This env var allows us to get inline annotations when ruff has complaints. diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml index bf0c1e0454f..f52cfc99dd4 100644 --- a/.github/workflows/_release.yml +++ b/.github/workflows/_release.yml @@ -21,7 +21,7 @@ on: env: PYTHON_VERSION: "3.11" - POETRY_VERSION: "1.7.1" + POETRY_VERSION: "1.8.4" jobs: build: diff --git a/.github/workflows/_test.yml b/.github/workflows/_test.yml index 0e03bbb16ae..97107ab501a 100644 --- a/.github/workflows/_test.yml +++ b/.github/workflows/_test.yml @@ -13,7 +13,7 @@ on: description: "Python version to use" env: - POETRY_VERSION: "1.7.1" + POETRY_VERSION: "1.8.4" jobs: build: diff --git a/.github/workflows/_test_doc_imports.yml b/.github/workflows/_test_doc_imports.yml index 1b1db0d84c2..2d09ddf6d59 100644 --- a/.github/workflows/_test_doc_imports.yml +++ b/.github/workflows/_test_doc_imports.yml @@ -9,7 +9,7 @@ on: description: "Python version to use" env: - POETRY_VERSION: "1.7.1" + POETRY_VERSION: "1.8.4" jobs: build: diff --git a/.github/workflows/_test_pydantic.yml b/.github/workflows/_test_pydantic.yml index ee48f46500b..752e34d22ed 100644 --- a/.github/workflows/_test_pydantic.yml +++ b/.github/workflows/_test_pydantic.yml @@ -18,7 +18,7 @@ on: description: "Pydantic version to test." env: - POETRY_VERSION: "1.7.1" + POETRY_VERSION: "1.8.4" jobs: build: diff --git a/.github/workflows/_test_release.yml b/.github/workflows/_test_release.yml index c7ba3c0f40e..5d70d3974e2 100644 --- a/.github/workflows/_test_release.yml +++ b/.github/workflows/_test_release.yml @@ -14,7 +14,7 @@ on: description: "Release from a non-master branch (danger!)" env: - POETRY_VERSION: "1.7.1" + POETRY_VERSION: "1.8.4" PYTHON_VERSION: "3.10" jobs: diff --git a/.github/workflows/api_doc_build.yml b/.github/workflows/api_doc_build.yml index c59337cdfe7..28ad2d74236 100644 --- a/.github/workflows/api_doc_build.yml +++ b/.github/workflows/api_doc_build.yml @@ -5,7 +5,7 @@ on: schedule: - cron: '0 13 * * *' env: - POETRY_VERSION: "1.8.1" + POETRY_VERSION: "1.8.4" PYTHON_VERSION: "3.11" jobs: diff --git a/.github/workflows/check_diffs.yml b/.github/workflows/check_diffs.yml index 5caa9c9348b..e672cfe14fc 100644 --- a/.github/workflows/check_diffs.yml +++ b/.github/workflows/check_diffs.yml @@ -17,7 +17,7 @@ concurrency: cancel-in-progress: true env: - POETRY_VERSION: "1.7.1" + POETRY_VERSION: "1.8.4" jobs: build: diff --git a/.github/workflows/run_notebooks.yml b/.github/workflows/run_notebooks.yml index 5d80c0917fe..4f4fc703b38 100644 --- a/.github/workflows/run_notebooks.yml +++ b/.github/workflows/run_notebooks.yml @@ -15,7 +15,7 @@ on: - cron: '0 13 * * *' env: - POETRY_VERSION: "1.7.1" + POETRY_VERSION: "1.8.4" jobs: build: diff --git a/.github/workflows/scheduled_test.yml b/.github/workflows/scheduled_test.yml index 6a4767988bf..377012843da 100644 --- a/.github/workflows/scheduled_test.yml +++ b/.github/workflows/scheduled_test.yml @@ -6,7 +6,7 @@ on: - cron: '0 13 * * *' env: - POETRY_VERSION: "1.7.1" + POETRY_VERSION: "1.8.4" jobs: build: From 88d6d02b59bf0da1a7fdb588b5212cdd7d1faf60 Mon Sep 17 00:00:00 2001 From: ccurme Date: Mon, 2 Dec 2024 14:57:30 -0500 Subject: [PATCH 07/21] ollama[patch]: release 0.2.2 (#28456) --- libs/partners/ollama/poetry.lock | 2 +- libs/partners/ollama/pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/libs/partners/ollama/poetry.lock b/libs/partners/ollama/poetry.lock index 1234ac57455..47e6066ced2 100644 --- a/libs/partners/ollama/poetry.lock +++ b/libs/partners/ollama/poetry.lock @@ -309,7 +309,7 @@ files = [ [[package]] name = "langchain-core" -version = "0.3.20" +version = "0.3.21" description = "Building applications with LLMs through composability" optional = false python-versions = ">=3.9,<4.0" diff --git a/libs/partners/ollama/pyproject.toml b/libs/partners/ollama/pyproject.toml index 1e6fd6b4d9a..8f775dd55fe 100644 --- a/libs/partners/ollama/pyproject.toml +++ b/libs/partners/ollama/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "langchain-ollama" -version = "0.2.2rc1" +version = "0.2.2" description = "An integration package connecting Ollama and LangChain" authors = [] readme = "README.md" From 28487597b28e7ed5e98c21478c74259633ec290d Mon Sep 17 00:00:00 2001 From: ccurme Date: Mon, 2 Dec 2024 16:17:51 -0500 Subject: [PATCH 08/21] ollama[patch]: release 0.2.1 (#28458) We inadvertently skipped 0.2.1, so release pipeline [failed](https://github.com/langchain-ai/langchain/actions/runs/12126964367/job/33810204551). --- libs/partners/ollama/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/partners/ollama/pyproject.toml b/libs/partners/ollama/pyproject.toml index 8f775dd55fe..bab24cf6198 100644 --- a/libs/partners/ollama/pyproject.toml +++ b/libs/partners/ollama/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "langchain-ollama" -version = "0.2.2" +version = "0.2.1" description = "An integration package connecting Ollama and LangChain" authors = [] readme = "README.md" From 60021e54b5945bc1ef141db8c934e93177cb8beb Mon Sep 17 00:00:00 2001 From: lucasiscovici Date: Mon, 2 Dec 2024 22:43:30 +0100 Subject: [PATCH 09/21] community: Add the additonnal kward 'context' for openai (#28351) - **Description:** Add the additonnal kward 'context' for openai into `convert_dict_to_message` and `convert_message_to_dict` functions. --- libs/community/langchain_community/adapters/openai.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/libs/community/langchain_community/adapters/openai.py b/libs/community/langchain_community/adapters/openai.py index 673e5fa567b..cc40b581122 100644 --- a/libs/community/langchain_community/adapters/openai.py +++ b/libs/community/langchain_community/adapters/openai.py @@ -91,6 +91,8 @@ def convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage: additional_kwargs["function_call"] = dict(function_call) if tool_calls := _dict.get("tool_calls"): additional_kwargs["tool_calls"] = tool_calls + if context := _dict.get("context"): + additional_kwargs["context"] = context return AIMessage(content=content, additional_kwargs=additional_kwargs) elif role == "system": return SystemMessage(content=_dict.get("content", "")) @@ -135,6 +137,11 @@ def convert_message_to_dict(message: BaseMessage) -> dict: # If tool calls only, content is None not empty string if message_dict["content"] == "": message_dict["content"] = None + if "context" in message.additional_kwargs: + message_dict["context"] = message.additional_kwargs["context"] + # If context only, content is None not empty string + if message_dict["content"] == "": + message_dict["content"] = None elif isinstance(message, SystemMessage): message_dict = {"role": "system", "content": message.content} elif isinstance(message, FunctionMessage): From ecee41ab72a6b3af3c7c07a74950de57c696e785 Mon Sep 17 00:00:00 2001 From: William FH <13333726+hinthornw@users.noreply.github.com> Date: Mon, 2 Dec 2024 13:56:23 -0800 Subject: [PATCH 10/21] fix: Handle response metadata in merge_messages_runs (#28453) --- libs/core/langchain_core/messages/utils.py | 2 ++ .../tests/unit_tests/messages/test_utils.py | 18 ++++++++++++++++++ 2 files changed, 20 insertions(+) diff --git a/libs/core/langchain_core/messages/utils.py b/libs/core/langchain_core/messages/utils.py index 2fce9f7dbca..452d59a5d78 100644 --- a/libs/core/langchain_core/messages/utils.py +++ b/libs/core/langchain_core/messages/utils.py @@ -556,6 +556,8 @@ def merge_message_runs( else: last_chunk = _msg_to_chunk(last) curr_chunk = _msg_to_chunk(curr) + if curr_chunk.response_metadata: + curr_chunk.response_metadata.clear() if ( isinstance(last_chunk.content, str) and isinstance(curr_chunk.content, str) diff --git a/libs/core/tests/unit_tests/messages/test_utils.py b/libs/core/tests/unit_tests/messages/test_utils.py index 5941c14831a..9f4a9a4cc6c 100644 --- a/libs/core/tests/unit_tests/messages/test_utils.py +++ b/libs/core/tests/unit_tests/messages/test_utils.py @@ -59,6 +59,24 @@ def test_merge_message_runs_str_without_separator( assert messages == messages_model_copy +def test_merge_message_runs_response_metadata() -> None: + messages = [ + AIMessage("foo", id="1", response_metadata={"input_tokens": 1}), + AIMessage("bar", id="2", response_metadata={"input_tokens": 2}), + ] + expected = [ + AIMessage( + "foo\nbar", + id="1", + response_metadata={"input_tokens": 1}, + ) + ] + actual = merge_message_runs(messages) + assert actual == expected + # Check it's not mutated + assert messages[1].response_metadata == {"input_tokens": 2} + + def test_merge_message_runs_content() -> None: messages = [ AIMessage("foo", id="1"), From 9f044167687a2aea7050ba9a9001cfa605f9c9b0 Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Mon, 2 Dec 2024 15:30:32 -0800 Subject: [PATCH 11/21] openai: set logit_bias to none instead of empty dict by default (#28460) --- libs/partners/openai/langchain_openai/llms/base.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/partners/openai/langchain_openai/llms/base.py b/libs/partners/openai/langchain_openai/llms/base.py index 633d473ae81..dc5dd67099b 100644 --- a/libs/partners/openai/langchain_openai/llms/base.py +++ b/libs/partners/openai/langchain_openai/llms/base.py @@ -113,7 +113,7 @@ class BaseOpenAI(BaseLLM): ) """Timeout for requests to OpenAI completion API. Can be float, httpx.Timeout or None.""" - logit_bias: Optional[Dict[str, float]] = Field(default_factory=dict) + logit_bias: Optional[Dict[str, float]] = None """Adjust the probability of specific tokens being generated.""" max_retries: int = 2 """Maximum number of retries to make when generating.""" From 42d40d694bcb238495dae5d3925a270cb0a019bd Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Mon, 2 Dec 2024 15:35:18 -0800 Subject: [PATCH 12/21] partners/openai: release 0.2.11 (#28461) --- libs/partners/openai/poetry.lock | 203 ++++++++++++++++------------ libs/partners/openai/pyproject.toml | 2 +- 2 files changed, 120 insertions(+), 85 deletions(-) diff --git a/libs/partners/openai/poetry.lock b/libs/partners/openai/poetry.lock index fe7e32705a8..a3de06c40eb 100644 --- a/libs/partners/openai/poetry.lock +++ b/libs/partners/openai/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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LangChain" authors = [] readme = "README.md" From 000be1f32c9e826a8b291d05192b253503d8adde Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Mon, 2 Dec 2024 15:36:09 -0800 Subject: [PATCH 13/21] tests: init retriever standard tests (#28459) --- .../integration_tests/__init__.py | 2 + .../integration_tests/retrievers.py | 78 +++++++++++++++++++ .../tests/unit_tests/test_basic_retriever.py | 32 ++++++++ 3 files changed, 112 insertions(+) create mode 100644 libs/standard-tests/langchain_tests/integration_tests/retrievers.py create mode 100644 libs/standard-tests/tests/unit_tests/test_basic_retriever.py diff --git a/libs/standard-tests/langchain_tests/integration_tests/__init__.py b/libs/standard-tests/langchain_tests/integration_tests/__init__.py index 67ccb38f29e..ed7e5f111c9 100644 --- a/libs/standard-tests/langchain_tests/integration_tests/__init__.py +++ b/libs/standard-tests/langchain_tests/integration_tests/__init__.py @@ -20,6 +20,7 @@ from .base_store import BaseStoreAsyncTests, BaseStoreSyncTests from .cache import AsyncCacheTestSuite, SyncCacheTestSuite from .chat_models import ChatModelIntegrationTests from .embeddings import EmbeddingsIntegrationTests +from .retrievers import RetrieversIntegrationTests from .tools import ToolsIntegrationTests from .vectorstores import AsyncReadWriteTestSuite, ReadWriteTestSuite @@ -33,4 +34,5 @@ __all__ = [ "SyncCacheTestSuite", "AsyncReadWriteTestSuite", "ReadWriteTestSuite", + "RetrieversIntegrationTests", ] diff --git a/libs/standard-tests/langchain_tests/integration_tests/retrievers.py b/libs/standard-tests/langchain_tests/integration_tests/retrievers.py new file mode 100644 index 00000000000..cf55e62f468 --- /dev/null +++ b/libs/standard-tests/langchain_tests/integration_tests/retrievers.py @@ -0,0 +1,78 @@ +from abc import abstractmethod +from typing import Type + +import pytest +from langchain_core.documents import Document +from langchain_core.retrievers import BaseRetriever + +from langchain_tests.base import BaseStandardTests + + +class RetrieversIntegrationTests(BaseStandardTests): + @property + @abstractmethod + def retriever_constructor(self) -> Type[BaseRetriever]: ... + + @property + def retriever_constructor_params(self) -> dict: + return {} + + @property + @abstractmethod + def retriever_query_example(self) -> str: + """ + Returns a dictionary representing the "args" of an example retriever call. + """ + ... + + @pytest.fixture + def retriever(self) -> BaseRetriever: + return self.retriever_constructor(**self.retriever_constructor_params) + + def test_k_constructor_param(self) -> None: + """ + Test that the retriever constructor accepts a k parameter. + """ + params = { + k: v for k, v in self.retriever_constructor_params.items() if k != "k" + } + params_3 = {**params, "k": 3} + retriever_3 = self.retriever_constructor(**params_3) + result_3 = retriever_3.invoke(self.retriever_query_example) + assert len(result_3) == 3 + assert all(isinstance(doc, Document) for doc in result_3) + + params_1 = {**params, "k": 1} + retriever_1 = self.retriever_constructor(**params_1) + result_1 = retriever_1.invoke(self.retriever_query_example) + assert len(result_1) == 1 + assert all(isinstance(doc, Document) for doc in result_1) + + def test_invoke_with_k_kwarg(self, retriever: BaseRetriever) -> None: + result_1 = retriever.invoke(self.retriever_query_example, k=1) + assert len(result_1) == 1 + assert all(isinstance(doc, Document) for doc in result_1) + + result_3 = retriever.invoke(self.retriever_query_example, k=3) + assert len(result_3) == 3 + assert all(isinstance(doc, Document) for doc in result_3) + + def test_invoke_returns_documents(self, retriever: BaseRetriever) -> None: + """ + If invoked with the example params, the retriever should return a list of + Documents. + """ + result = retriever.invoke(self.retriever_query_example) + + assert isinstance(result, list) + assert all(isinstance(doc, Document) for doc in result) + + async def test_ainvoke_returns_documents(self, retriever: BaseRetriever) -> None: + """ + If ainvoked with the example params, the retriever should return a list of + Documents. + """ + result = await retriever.ainvoke(self.retriever_query_example) + + assert isinstance(result, list) + assert all(isinstance(doc, Document) for doc in result) diff --git a/libs/standard-tests/tests/unit_tests/test_basic_retriever.py b/libs/standard-tests/tests/unit_tests/test_basic_retriever.py new file mode 100644 index 00000000000..af5d598c722 --- /dev/null +++ b/libs/standard-tests/tests/unit_tests/test_basic_retriever.py @@ -0,0 +1,32 @@ +from typing import Any, Type + +from langchain_core.callbacks import CallbackManagerForRetrieverRun +from langchain_core.documents import Document +from langchain_core.retrievers import BaseRetriever + +from langchain_tests.integration_tests import RetrieversIntegrationTests + + +class ParrotRetriever(BaseRetriever): + parrot_name: str + k: int = 3 + + def _get_relevant_documents( + self, query: str, *, run_manager: CallbackManagerForRetrieverRun, **kwargs: Any + ) -> list[Document]: + k = kwargs.get("k", self.k) + return [Document(page_content=f"{self.parrot_name} says: {query}")] * k + + +class TestParrotRetrieverIntegration(RetrieversIntegrationTests): + @property + def retriever_constructor(self) -> Type[ParrotRetriever]: + return ParrotRetriever + + @property + def retriever_constructor_params(self) -> dict: + return {"parrot_name": "Polly"} + + @property + def retriever_query_example(self) -> str: + return "parrot" From 6b7e93d4c7b25b41838d3c15f33ee9f9ffc302f9 Mon Sep 17 00:00:00 2001 From: Audrey Sage Lorberfeld Date: Mon, 2 Dec 2024 22:47:09 -0800 Subject: [PATCH 14/21] pinecone: update pinecone client (#28320) This PR updates the Pinecone client to `5.4.0`, as well as its dependencies (`pinecone-plugin-inference` and `pinecone-plugin-interface`). Note: `pinecone-client` is now simply called `pinecone`. **Question for reviewer(s):** should this PR also update the `pinecone` dep in [the root dir's `poetry.lock` file](https://github.com/langchain-ai/langchain/blob/master/poetry.lock#L6729)? Was unsure. (I don't believe so b/c it seems pinned to a lower version likely based on 3rd-party deps (e.g. Unstructured).) -- TW: @audrey_sage_ --- - To see the specific tasks where the Asana app for GitHub is being used, see below: - https://app.asana.com/0/0/1208693659122374 --- docs/docs/integrations/providers/pinecone.mdx | 2 +- .../retrievers/pinecone_hybrid_search.ipynb | 2 +- .../vectorstores/pinecone.py | 4 +- .../pinecone/langchain_pinecone/embeddings.py | 28 +- .../langchain_pinecone/vectorstores.py | 1 + libs/partners/pinecone/poetry.lock | 1843 +++++++++-------- libs/partners/pinecone/pyproject.toml | 10 +- 7 files changed, 1045 insertions(+), 845 deletions(-) diff --git a/docs/docs/integrations/providers/pinecone.mdx b/docs/docs/integrations/providers/pinecone.mdx index 6a56785d5b2..c9c84822034 100644 --- a/docs/docs/integrations/providers/pinecone.mdx +++ b/docs/docs/integrations/providers/pinecone.mdx @@ -32,7 +32,7 @@ For a more detailed walkthrough of the Pinecone vectorstore, see [this notebook] ### Pinecone Hybrid Search ```bash -pip install pinecone-client pinecone-text +pip install pinecone pinecone-text ``` ```python diff --git a/docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb b/docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb index 72cb5dde4f3..9722afe5948 100644 --- a/docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb +++ b/docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb @@ -24,7 +24,7 @@ "metadata": {}, "outputs": [], "source": [ - "%pip install --upgrade --quiet pinecone-client pinecone-text pinecone-notebooks" + "%pip install --upgrade --quiet pinecone pinecone-text pinecone-notebooks" ] }, { diff --git a/libs/community/langchain_community/vectorstores/pinecone.py b/libs/community/langchain_community/vectorstores/pinecone.py index 2cd41903dc8..7d960409e6b 100644 --- a/libs/community/langchain_community/vectorstores/pinecone.py +++ b/libs/community/langchain_community/vectorstores/pinecone.py @@ -31,7 +31,7 @@ def _import_pinecone() -> Any: except ImportError as e: raise ImportError( "Could not import pinecone python package. " - "Please install it with `pip install pinecone-client`." + "Please install it with `pip3 install pinecone`." ) from e return pinecone @@ -48,7 +48,7 @@ def _is_pinecone_v3() -> bool: class Pinecone(VectorStore): """`Pinecone` vector store. - To use, you should have the ``pinecone-client`` python package installed. + To use, you should have the ``pinecone`` python package installed. This version of Pinecone is deprecated. Please use `langchain_pinecone.Pinecone` instead. diff --git a/libs/partners/pinecone/langchain_pinecone/embeddings.py b/libs/partners/pinecone/langchain_pinecone/embeddings.py index 2dc964ed562..aef874a00d5 100644 --- a/libs/partners/pinecone/langchain_pinecone/embeddings.py +++ b/libs/partners/pinecone/langchain_pinecone/embeddings.py @@ -33,7 +33,7 @@ class PineconeEmbeddings(BaseModel, Embeddings): # Clients _client: PineconeClient = PrivateAttr(default=None) - _async_client: aiohttp.ClientSession = PrivateAttr(default=None) + _async_client: Optional[aiohttp.ClientSession] = PrivateAttr(default=None) model: str """Model to use for example 'multilingual-e5-large'.""" # Config @@ -65,6 +65,19 @@ class PineconeEmbeddings(BaseModel, Embeddings): protected_namespaces=(), ) + @property + def async_client(self) -> aiohttp.ClientSession: + """Lazily initialize the async client.""" + if self._async_client is None: + self._async_client = aiohttp.ClientSession( + headers={ + "Api-Key": self.pinecone_api_key.get_secret_value(), + "Content-Type": "application/json", + "X-Pinecone-API-Version": "2024-07", + } + ) + return self._async_client + @model_validator(mode="before") @classmethod def set_default_config(cls, values: dict) -> Any: @@ -92,15 +105,8 @@ class PineconeEmbeddings(BaseModel, Embeddings): client = PineconeClient(api_key=api_key_str, source_tag="langchain") self._client = client - # initialize async client - if not self._async_client: - self._async_client = aiohttp.ClientSession( - headers={ - "Api-Key": api_key_str, - "Content-Type": "application/json", - "X-Pinecone-API-Version": "2024-07", - } - ) + # Ensure async_client is lazily initialized + _ = self.async_client return self def _get_batch_iterator(self, texts: List[str]) -> Iterable: @@ -174,7 +180,7 @@ class PineconeEmbeddings(BaseModel, Embeddings): "inputs": [{"text": text} for text in texts], "parameters": parameters, } - async with self._async_client.post( + async with self.async_client.post( "https://api.pinecone.io/embed", json=data ) as response: response_data = await response.json(content_type=None) diff --git a/libs/partners/pinecone/langchain_pinecone/vectorstores.py b/libs/partners/pinecone/langchain_pinecone/vectorstores.py index 9dacbd2488f..2e98afad7c4 100644 --- a/libs/partners/pinecone/langchain_pinecone/vectorstores.py +++ b/libs/partners/pinecone/langchain_pinecone/vectorstores.py @@ -74,6 +74,7 @@ class PineconeVectorStore(VectorStore): dimension=1536, metric="cosine", spec=ServerlessSpec(cloud="aws", region="us-east-1"), + deletion_protection="enabled", # Defaults to "disabled" ) while not pc.describe_index(index_name).status["ready"]: time.sleep(1) diff --git a/libs/partners/pinecone/poetry.lock b/libs/partners/pinecone/poetry.lock index a169779e0f6..20fbada0d13 100644 --- a/libs/partners/pinecone/poetry.lock +++ b/libs/partners/pinecone/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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+pinecone = "^5.4.0" aiohttp = ">=3.9.5,<3.10" -[[tool.poetry.dependencies.numpy]] -version = "^1" -python = "<3.12" - -[[tool.poetry.dependencies.numpy]] -version = "^1.26.0" -python = ">=3.12" +numpy = ">=1.26.0,<2.0.0" [tool.ruff.lint] select = [ "E", "F", "I", "T201",] From ff675c11f6814e88aa338dc3668aa84d1ade3d19 Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Mon, 2 Dec 2024 22:49:35 -0800 Subject: [PATCH 15/21] partners/pinecone: release 0.2.2 (#28466) --- libs/partners/pinecone/poetry.lock | 6 +++--- libs/partners/pinecone/pyproject.toml | 4 ++-- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/libs/partners/pinecone/poetry.lock b/libs/partners/pinecone/poetry.lock index 20fbada0d13..3122fd088d0 100644 --- a/libs/partners/pinecone/poetry.lock +++ b/libs/partners/pinecone/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "aiohttp" @@ -683,7 +683,7 @@ url = "../../core" [[package]] name = "langchain-openai" -version = "0.2.10" +version = "0.2.11" description = "An integration package connecting OpenAI and LangChain" optional = false python-versions = ">=3.9,<4.0" @@ -2094,4 +2094,4 @@ propcache = ">=0.2.0" [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "73b627cc1c47574c142af6d1e18eb7186d75526421f4935b0c2c27fe4726ac6b" +content-hash = "b19080a915cafa4786cc8238c11e89b05e496912674d8915d22fe1fe85604b22" diff --git a/libs/partners/pinecone/pyproject.toml b/libs/partners/pinecone/pyproject.toml index 6caf68a2d43..cc5370983e6 100644 --- a/libs/partners/pinecone/pyproject.toml +++ b/libs/partners/pinecone/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "langchain-pinecone" -version = "0.2.1" +version = "0.2.2" description = "An integration package connecting Pinecone and LangChain" authors = [] readme = "README.md" @@ -20,7 +20,7 @@ disallow_untyped_defs = "True" [tool.poetry.dependencies] python = ">=3.9,<3.13" -langchain-core = "^0.3.15" +langchain-core = "^0.3.21" pinecone = "^5.4.0" aiohttp = ">=3.9.5,<3.10" numpy = ">=1.26.0,<2.0.0" From 7315360907b7c2fa88d7803b5778599f2e37277d Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Tue, 3 Dec 2024 09:54:53 -0800 Subject: [PATCH 16/21] openai: dont populate logit_bias if None (#28482) --- libs/partners/openai/langchain_openai/llms/base.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/libs/partners/openai/langchain_openai/llms/base.py b/libs/partners/openai/langchain_openai/llms/base.py index dc5dd67099b..b910f2e404d 100644 --- a/libs/partners/openai/langchain_openai/llms/base.py +++ b/libs/partners/openai/langchain_openai/llms/base.py @@ -205,11 +205,13 @@ class BaseOpenAI(BaseLLM): "frequency_penalty": self.frequency_penalty, "presence_penalty": self.presence_penalty, "n": self.n, - "logit_bias": self.logit_bias, "seed": self.seed, "logprobs": self.logprobs, } + if self.logit_bias is not None: + normal_params["logit_bias"] = self.logit_bias + if self.max_tokens is not None: normal_params["max_tokens"] = self.max_tokens From 926e452f44cf77a9021776f1bf57f86bb12d7d76 Mon Sep 17 00:00:00 2001 From: Audrey Sage Lorberfeld Date: Tue, 3 Dec 2024 10:08:56 -0800 Subject: [PATCH 17/21] partners: update version header for Pinecone integration (#28481) Just need to update the version header used with Pinecone in recently-merged method (from [this PR](https://github.com/langchain-ai/langchain/pull/28320/files#r1867820929)). Co-authored-by: Erick Friis --- libs/partners/pinecone/langchain_pinecone/embeddings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/partners/pinecone/langchain_pinecone/embeddings.py b/libs/partners/pinecone/langchain_pinecone/embeddings.py index aef874a00d5..d3cdd73fe7d 100644 --- a/libs/partners/pinecone/langchain_pinecone/embeddings.py +++ b/libs/partners/pinecone/langchain_pinecone/embeddings.py @@ -73,7 +73,7 @@ class PineconeEmbeddings(BaseModel, Embeddings): headers={ "Api-Key": self.pinecone_api_key.get_secret_value(), "Content-Type": "application/json", - "X-Pinecone-API-Version": "2024-07", + "X-Pinecone-API-Version": "2024-10", } ) return self._async_client From c74f34cb41185197bfa46c9f8d7d8b1eb7a53dfa Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Tue, 3 Dec 2024 10:22:16 -0800 Subject: [PATCH 18/21] pinecone: release 0.2.1 (version sequence) (#28485) --- libs/partners/pinecone/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/partners/pinecone/pyproject.toml b/libs/partners/pinecone/pyproject.toml index cc5370983e6..7c33a4502f8 100644 --- a/libs/partners/pinecone/pyproject.toml +++ b/libs/partners/pinecone/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "langchain-pinecone" -version = "0.2.2" +version = "0.2.1" description = "An integration package connecting Pinecone and LangChain" authors = [] readme = "README.md" From a220ee56cd5a1050fbb682c330251ffc3fe0eb09 Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Tue, 3 Dec 2024 10:35:57 -0800 Subject: [PATCH 19/21] infra: add 20min timeout to ci steps (#28483) --- .github/workflows/_compile_integration_test.yml | 1 + .github/workflows/_lint.yml | 1 + .github/workflows/_release.yml | 1 + .github/workflows/_test.yml | 1 + .github/workflows/_test_doc_imports.yml | 1 + .github/workflows/_test_pydantic.yml | 1 + .github/workflows/check_diffs.yml | 1 + .github/workflows/scheduled_test.yml | 1 + 8 files changed, 8 insertions(+) diff --git a/.github/workflows/_compile_integration_test.yml b/.github/workflows/_compile_integration_test.yml index aed2bc50984..ea4d4625930 100644 --- a/.github/workflows/_compile_integration_test.yml +++ b/.github/workflows/_compile_integration_test.yml @@ -21,6 +21,7 @@ jobs: run: working-directory: ${{ inputs.working-directory }} runs-on: ubuntu-latest + timeout-minutes: 20 name: "poetry run pytest -m compile tests/integration_tests #${{ inputs.python-version }}" steps: - uses: actions/checkout@v4 diff --git a/.github/workflows/_lint.yml b/.github/workflows/_lint.yml index a72bf685573..993fd418211 100644 --- a/.github/workflows/_lint.yml +++ b/.github/workflows/_lint.yml @@ -23,6 +23,7 @@ jobs: build: name: "make lint #${{ inputs.python-version }}" runs-on: ubuntu-latest + timeout-minutes: 20 steps: - uses: actions/checkout@v4 diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml index f52cfc99dd4..377b26a14a1 100644 --- a/.github/workflows/_release.yml +++ b/.github/workflows/_release.yml @@ -167,6 +167,7 @@ jobs: - release-notes - test-pypi-publish runs-on: ubuntu-latest + timeout-minutes: 20 steps: - uses: actions/checkout@v4 diff --git a/.github/workflows/_test.yml b/.github/workflows/_test.yml index 97107ab501a..4316fc407e5 100644 --- a/.github/workflows/_test.yml +++ b/.github/workflows/_test.yml @@ -21,6 +21,7 @@ jobs: run: working-directory: ${{ inputs.working-directory }} runs-on: ubuntu-latest + timeout-minutes: 20 name: "make test #${{ inputs.python-version }}" steps: - uses: actions/checkout@v4 diff --git a/.github/workflows/_test_doc_imports.yml b/.github/workflows/_test_doc_imports.yml index 2d09ddf6d59..1c7c5d13d96 100644 --- a/.github/workflows/_test_doc_imports.yml +++ b/.github/workflows/_test_doc_imports.yml @@ -14,6 +14,7 @@ env: jobs: build: runs-on: ubuntu-latest + timeout-minutes: 20 name: "check doc imports #${{ inputs.python-version }}" steps: - uses: actions/checkout@v4 diff --git a/.github/workflows/_test_pydantic.yml b/.github/workflows/_test_pydantic.yml index 752e34d22ed..50831fd8f12 100644 --- a/.github/workflows/_test_pydantic.yml +++ b/.github/workflows/_test_pydantic.yml @@ -26,6 +26,7 @@ jobs: run: working-directory: ${{ inputs.working-directory }} runs-on: ubuntu-latest + timeout-minutes: 20 name: "make test # pydantic: ~=${{ inputs.pydantic-version }}, python: ${{ inputs.python-version }}, " steps: - uses: actions/checkout@v4 diff --git a/.github/workflows/check_diffs.yml b/.github/workflows/check_diffs.yml index e672cfe14fc..61c921c03b9 100644 --- a/.github/workflows/check_diffs.yml +++ b/.github/workflows/check_diffs.yml @@ -119,6 +119,7 @@ jobs: job-configs: ${{ fromJson(needs.build.outputs.extended-tests) }} fail-fast: false runs-on: ubuntu-latest + timeout-minutes: 20 defaults: run: working-directory: ${{ matrix.job-configs.working-directory }} diff --git a/.github/workflows/scheduled_test.yml b/.github/workflows/scheduled_test.yml index 377012843da..d71dbdcccfa 100644 --- a/.github/workflows/scheduled_test.yml +++ b/.github/workflows/scheduled_test.yml @@ -13,6 +13,7 @@ jobs: if: github.repository_owner == 'langchain-ai' || github.event_name != 'schedule' name: Python ${{ matrix.python-version }} - ${{ matrix.working-directory }} runs-on: ubuntu-latest + timeout-minutes: 20 strategy: fail-fast: false matrix: From 50ddf13692e5ab42125cea5f9f6626038752bc21 Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Tue, 3 Dec 2024 12:06:29 -0800 Subject: [PATCH 20/21] infra: configurable scheduled tests (#28486) --- .github/workflows/scheduled_test.yml | 61 ++++++++++++++++++++++------ 1 file changed, 49 insertions(+), 12 deletions(-) diff --git a/.github/workflows/scheduled_test.yml b/.github/workflows/scheduled_test.yml index d71dbdcccfa..4134afd1d39 100644 --- a/.github/workflows/scheduled_test.yml +++ b/.github/workflows/scheduled_test.yml @@ -2,33 +2,70 @@ name: Scheduled tests on: workflow_dispatch: # Allows to trigger the workflow manually in GitHub UI + inputs: + working-directory-force: + type: string + description: "From which folder this pipeline executes - defaults to all in matrix - example value: libs/partners/anthropic" + python-version-force: + type: string + description: "Python version to use - defaults to 3.9 and 3.11 in matrix - example value: 3.9" schedule: - cron: '0 13 * * *' env: POETRY_VERSION: "1.8.4" + DEFAULT_LIBS: > + [ + "libs/partners/openai", + "libs/partners/anthropic", + "libs/partners/fireworks", + "libs/partners/groq", + "libs/partners/mistralai", + "libs/partners/google-vertexai", + "libs/partners/google-genai", + "libs/partners/aws" + ] jobs: + compute-matrix: + if: github.repository_owner == 'langchain-ai' || github.event_name != 'schedule' + runs-on: ubuntu-latest + name: Compute matrix + outputs: + matrix: ${{ steps.set-matrix.outputs.matrix }} + steps: + - name: Set matrix + id: set-matrix + env: + DEFAULT_LIBS: ${{ env.DEFAULT_LIBS }} + WORKING_DIRECTORY_FORCE: ${{ github.event.inputs.working-directory-force || '' }} + PYTHON_VERSION_FORCE: ${{ github.event.inputs.python-version-force || '' }} + run: | + # echo "matrix=..." where matrix is a json formatted str with keys python-version and working-directory + # python-version should default to 3.9 and 3.11, but is overridden to [PYTHON_VERSION_FORCE] if set + # working-directory should default to DEFAULT_LIBS, but is overridden to [WORKING_DIRECTORY_FORCE] if set + python_version='["3.9", "3.11"]' + working_directory="$DEFAULT_LIBS" + if [ -n "$PYTHON_VERSION_FORCE" ]; then + python_version="[\"$PYTHON_VERSION_FORCE\"]" + fi + if [ -n "$WORKING_DIRECTORY_FORCE" ]; then + working_directory="[\"$WORKING_DIRECTORY_FORCE\"]" + fi + matrix="{\"python-version\": $python_version, \"working-directory\": $working_directory}" + echo $matrix + echo "matrix=$matrix" >> $GITHUB_OUTPUT build: if: github.repository_owner == 'langchain-ai' || github.event_name != 'schedule' name: Python ${{ matrix.python-version }} - ${{ matrix.working-directory }} runs-on: ubuntu-latest + needs: [compute-matrix] timeout-minutes: 20 strategy: fail-fast: false matrix: - python-version: - - "3.9" - - "3.11" - working-directory: - - "libs/partners/openai" - - "libs/partners/anthropic" - - "libs/partners/fireworks" - - "libs/partners/groq" - - "libs/partners/mistralai" - - "libs/partners/google-vertexai" - - "libs/partners/google-genai" - - "libs/partners/aws" + python-version: ${{ fromJSON(needs.compute-matrix.outputs.matrix).python-version }} + working-directory: ${{ fromJSON(needs.compute-matrix.outputs.matrix).working-directory }} steps: - uses: actions/checkout@v4 From ab831ce05c1dd7e69896480fad8b91961db3435d Mon Sep 17 00:00:00 2001 From: ccurme Date: Tue, 3 Dec 2024 15:24:54 -0500 Subject: [PATCH 21/21] tests[patch]: populate API reference for chat models (#28487) Populate API reference for test class properties and test methods for chat models. Also: - Make `standard_chat_model_params` private. - `pytest.skip` some tests that were previously passed if features are not supported. --- .../integration_tests/chat_models.py | 669 +++++++++++++++++- .../langchain_tests/unit_tests/chat_models.py | 390 +++++++++- 2 files changed, 1028 insertions(+), 31 deletions(-) diff --git a/libs/standard-tests/langchain_tests/integration_tests/chat_models.py b/libs/standard-tests/langchain_tests/integration_tests/chat_models.py index 5ef6f99c821..1cbec02ad0d 100644 --- a/libs/standard-tests/langchain_tests/integration_tests/chat_models.py +++ b/libs/standard-tests/langchain_tests/integration_tests/chat_models.py @@ -73,8 +73,46 @@ def _validate_tool_call_message_no_args(message: BaseMessage) -> None: class ChatModelIntegrationTests(ChatModelTests): + """Base class for chat model integration tests. + + Test subclasses must implement the following two properties: + + chat_model_class + The chat model class to test, e.g., ``ChatParrotLink``. + + Example: + + .. code-block:: python + + @property + def chat_model_class(self) -> Type[ChatParrotLink]: + return ChatParrotLink + + chat_model_params + Initialization parameters for the chat model. + + Example: + + .. code-block:: python + + @property + def chat_model_params(self) -> dict: + return {"model": "bird-brain-001", "temperature": 0} + + .. note:: + API references for individual test methods include troubleshooting tips. + + .. note:: + Test subclasses can control what features are tested (such as tool + calling or multi-modality) by selectively overriding the properties on the + class. Relevant properties are mentioned in the references for each method. + See this page for detail on all properties: + https://python.langchain.com/api_reference/standard_tests/unit_tests/langchain_tests.unit_tests.chat_models.ChatModelTests.html + """ + @property def standard_chat_model_params(self) -> dict: + """:meta private:""" return {} def test_invoke(self, model: BaseChatModel) -> None: @@ -295,8 +333,8 @@ class ChatModelIntegrationTests(ChatModelTests): .. dropdown:: Configuration By default, this test is run. - To disable this feature, set `returns_usage_metadata` to False in your test - class: + To disable this feature, set `returns_usage_metadata` to False in your + test class: .. code-block:: python @@ -435,8 +473,8 @@ class ChatModelIntegrationTests(ChatModelTests): .. dropdown:: Configuration By default, this test is run. - To disable this feature, set `returns_usage_metadata` to False in your test - class: + To disable this feature, set `returns_usage_metadata` to False in your + test class: .. code-block:: python @@ -564,6 +602,28 @@ class ChatModelIntegrationTests(ChatModelTests): ) def test_stop_sequence(self, model: BaseChatModel) -> None: + """Test that model does not fail when invoked with the ``stop`` parameter, + which is a standard parameter for stopping generation at a certain token. + + More on standard parameters here: https://python.langchain.com/docs/concepts/chat_models/#standard-parameters + + This should pass for all integrations. + + .. dropdown:: Troubleshooting + + If this test fails, check that the function signature for ``_generate`` + (as well as ``_stream`` and async variants) accepts the ``stop`` parameter: + + .. code-block:: python + + def _generate( + self, + messages: List[BaseMessage], + stop: Optional[List[str]] = None, + run_manager: Optional[CallbackManagerForLLMRun] = None, + **kwargs: Any, + ) -> ChatResult: + """ # noqa: E501 result = model.invoke("hi", stop=["you"]) assert isinstance(result, AIMessage) @@ -574,6 +634,44 @@ class ChatModelIntegrationTests(ChatModelTests): assert isinstance(result, AIMessage) def test_tool_calling(self, model: BaseChatModel) -> None: + """Test that the model generates tool calls. This test is skipped if the + ``has_tool_calling`` property on the test class is set to False. + + This test is optional and should be skipped if the model does not support + tool calling (see Configuration below). + + .. dropdown:: Configuration + + To disable tool calling tests, set ``has_tool_calling`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def has_tool_calling(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, check that ``bind_tools`` is implemented to correctly + translate LangChain tool objects into the appropriate schema for your + chat model. + + This test may fail if the chat model does not support a ``tool_choice`` + parameter. This parameter can be used to force a tool call. If + ``tool_choice`` is not supported and the model consistently fails this + test, you can ``xfail`` the test: + + .. code-block:: python + + @pytest.mark.xfail(reason=("Does not support tool_choice.")) + def test_tool_calling(self, model: BaseChatModel) -> None: + super().test_tool_calling(model) + + Otherwise, ensure that the ``tool_choice_value`` property is correctly + specified on the test class. + """ if not self.has_tool_calling: pytest.skip("Test requires tool calling.") if self.tool_choice_value == "tool_name": @@ -595,6 +693,44 @@ class ChatModelIntegrationTests(ChatModelTests): _validate_tool_call_message(full) async def test_tool_calling_async(self, model: BaseChatModel) -> None: + """Test that the model generates tool calls. This test is skipped if the + ``has_tool_calling`` property on the test class is set to False. + + This test is optional and should be skipped if the model does not support + tool calling (see Configuration below). + + .. dropdown:: Configuration + + To disable tool calling tests, set ``has_tool_calling`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def has_tool_calling(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, check that ``bind_tools`` is implemented to correctly + translate LangChain tool objects into the appropriate schema for your + chat model. + + This test may fail if the chat model does not support a ``tool_choice`` + parameter. This parameter can be used to force a tool call. If + ``tool_choice`` is not supported and the model consistently fails this + test, you can ``xfail`` the test: + + .. code-block:: python + + @pytest.mark.xfail(reason=("Does not support tool_choice.")) + async def test_tool_calling_async(self, model: BaseChatModel) -> None: + await super().test_tool_calling_async(model) + + Otherwise, ensure that the ``tool_choice_value`` property is correctly + specified on the test class. + """ if not self.has_tool_calling: pytest.skip("Test requires tool calling.") if self.tool_choice_value == "tool_name": @@ -616,6 +752,46 @@ class ChatModelIntegrationTests(ChatModelTests): _validate_tool_call_message(full) def test_tool_calling_with_no_arguments(self, model: BaseChatModel) -> None: + """Test that the model generates tool calls for tools with no arguments. + This test is skipped if the ``has_tool_calling`` property on the test class + is set to False. + + This test is optional and should be skipped if the model does not support + tool calling (see Configuration below). + + .. dropdown:: Configuration + + To disable tool calling tests, set ``has_tool_calling`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def has_tool_calling(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, check that ``bind_tools`` is implemented to correctly + translate LangChain tool objects into the appropriate schema for your + chat model. It should correctly handle the case where a tool has no + arguments. + + This test may fail if the chat model does not support a ``tool_choice`` + parameter. This parameter can be used to force a tool call. It may also + fail if a provider does not support this form of tool. In these cases, + you can ``xfail`` the test: + + .. code-block:: python + + @pytest.mark.xfail(reason=("Does not support tool_choice.")) + def test_tool_calling_with_no_arguments(self, model: BaseChatModel) -> None: + super().test_tool_calling_with_no_arguments(model) + + Otherwise, ensure that the ``tool_choice_value`` property is correctly + specified on the test class. + """ # noqa: E501 if not self.has_tool_calling: pytest.skip("Test requires tool calling.") @@ -637,6 +813,45 @@ class ChatModelIntegrationTests(ChatModelTests): _validate_tool_call_message_no_args(full) def test_bind_runnables_as_tools(self, model: BaseChatModel) -> None: + """Test that the model generates tool calls for tools that are derived from + LangChain runnables. This test is skipped if the ``has_tool_calling`` property + on the test class is set to False. + + This test is optional and should be skipped if the model does not support + tool calling (see Configuration below). + + .. dropdown:: Configuration + + To disable tool calling tests, set ``has_tool_calling`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def has_tool_calling(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, check that ``bind_tools`` is implemented to correctly + translate LangChain tool objects into the appropriate schema for your + chat model. + + This test may fail if the chat model does not support a ``tool_choice`` + parameter. This parameter can be used to force a tool call. If + ``tool_choice`` is not supported and the model consistently fails this + test, you can ``xfail`` the test: + + .. code-block:: python + + @pytest.mark.xfail(reason=("Does not support tool_choice.")) + def test_bind_runnables_as_tools(self, model: BaseChatModel) -> None: + super().test_bind_runnables_as_tools(model) + + Otherwise, ensure that the ``tool_choice_value`` property is correctly + specified on the test class. + """ if not self.has_tool_calling: pytest.skip("Test requires tool calling.") @@ -663,7 +878,32 @@ class ChatModelIntegrationTests(ChatModelTests): assert tool_call["type"] == "tool_call" def test_structured_output(self, model: BaseChatModel) -> None: - """Test to verify structured output with a Pydantic model.""" + """Test to verify structured output is generated both on invoke and stream. + + This test is optional and should be skipped if the model does not support + tool calling (see Configuration below). + + .. dropdown:: Configuration + + To disable tool calling tests, set ``has_tool_calling`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def has_tool_calling(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, ensure that the model's ``bind_tools`` method + properly handles both JSON Schema and Pydantic V2 models. + ``langchain_core`` implements a utility function that will accommodate + most formats: https://python.langchain.com/api_reference/core/utils/langchain_core.utils.function_calling.convert_to_openai_tool.html + + See example implementation of ``with_structured_output`` here: https://python.langchain.com/api_reference/_modules/langchain_openai/chat_models/base.html#BaseChatOpenAI.with_structured_output + """ # noqa: E501 if not self.has_tool_calling: pytest.skip("Test requires tool calling.") @@ -690,7 +930,32 @@ class ChatModelIntegrationTests(ChatModelTests): assert set(chunk.keys()) == {"setup", "punchline"} async def test_structured_output_async(self, model: BaseChatModel) -> None: - """Test to verify structured output with a Pydantic model.""" + """Test to verify structured output is generated both on invoke and stream. + + This test is optional and should be skipped if the model does not support + tool calling (see Configuration below). + + .. dropdown:: Configuration + + To disable tool calling tests, set ``has_tool_calling`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def has_tool_calling(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, ensure that the model's ``bind_tools`` method + properly handles both JSON Schema and Pydantic V2 models. + ``langchain_core`` implements a utility function that will accommodate + most formats: https://python.langchain.com/api_reference/core/utils/langchain_core.utils.function_calling.convert_to_openai_tool.html + + See example implementation of ``with_structured_output`` here: https://python.langchain.com/api_reference/_modules/langchain_openai/chat_models/base.html#BaseChatOpenAI.with_structured_output + """ # noqa: E501 if not self.has_tool_calling: pytest.skip("Test requires tool calling.") @@ -718,9 +983,34 @@ class ChatModelIntegrationTests(ChatModelTests): @pytest.mark.skipif(PYDANTIC_MAJOR_VERSION != 2, reason="Test requires pydantic 2.") def test_structured_output_pydantic_2_v1(self, model: BaseChatModel) -> None: - """Test to verify compatibility with pydantic.v1.BaseModel. + """Test to verify we can generate structured output using + pydantic.v1.BaseModel. pydantic.v1.BaseModel is available in the pydantic 2 package. + + This test is optional and should be skipped if the model does not support + tool calling (see Configuration below). + + .. dropdown:: Configuration + + To disable tool calling tests, set ``has_tool_calling`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def has_tool_calling(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, ensure that the model's ``bind_tools`` method + properly handles both JSON Schema and Pydantic V1 models. + ``langchain_core`` implements a utility function that will accommodate + most formats: https://python.langchain.com/api_reference/core/utils/langchain_core.utils.function_calling.convert_to_openai_tool.html + + See example implementation of ``with_structured_output`` here: https://python.langchain.com/api_reference/_modules/langchain_openai/chat_models/base.html#BaseChatOpenAI.with_structured_output """ if not self.has_tool_calling: pytest.skip("Test requires tool calling.") @@ -751,7 +1041,33 @@ class ChatModelIntegrationTests(ChatModelTests): assert set(chunk.keys()) == {"setup", "punchline"} def test_structured_output_optional_param(self, model: BaseChatModel) -> None: - """Test to verify structured output with an optional param.""" + """Test to verify we can generate structured output that includes optional + parameters. + + This test is optional and should be skipped if the model does not support + tool calling (see Configuration below). + + .. dropdown:: Configuration + + To disable tool calling tests, set ``has_tool_calling`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def has_tool_calling(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, ensure that the model's ``bind_tools`` method + properly handles Pydantic V2 models with optional parameters. + ``langchain_core`` implements a utility function that will accommodate + most formats: https://python.langchain.com/api_reference/core/utils/langchain_core.utils.function_calling.convert_to_openai_tool.html + + See example implementation of ``with_structured_output`` here: https://python.langchain.com/api_reference/_modules/langchain_openai/chat_models/base.html#BaseChatOpenAI.with_structured_output + """ if not self.has_tool_calling: pytest.skip("Test requires tool calling.") @@ -773,10 +1089,42 @@ class ChatModelIntegrationTests(ChatModelTests): assert isinstance(joke_result, Joke) def test_tool_message_histories_string_content(self, model: BaseChatModel) -> None: - """ - Test that message histories are compatible with string tool contents - (e.g. OpenAI). - """ + """Test that message histories are compatible with string tool contents + (e.g. OpenAI format). If a model passes this test, it should be compatible + with messages generated from providers following OpenAI format. + + This test should be skipped if the model does not support tool calling + (see Configuration below). + + .. dropdown:: Configuration + + To disable tool calling tests, set ``has_tool_calling`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def has_tool_calling(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, check that: + + 1. The model can correctly handle message histories that include AIMessage objects with ``""`` content. + 2. The ``tool_calls`` attribute on AIMessage objects is correctly handled and passed to the model in an appropriate format. + 3. The model can correctly handle ToolMessage objects with string content and arbitrary string values for ``tool_call_id``. + + You can ``xfail`` the test if tool calling is implemented but this format + is not supported. + + .. code-block:: python + + @pytest.mark.xfail(reason=("Not implemented.")) + def test_tool_message_histories_string_content(self, model: BaseChatModel) -> None: + super().test_tool_message_histories_string_content(model) + """ # noqa: E501 if not self.has_tool_calling: pytest.skip("Test requires tool calling.") model_with_tools = model.bind_tools([my_adder_tool]) @@ -810,10 +1158,56 @@ class ChatModelIntegrationTests(ChatModelTests): self, model: BaseChatModel, ) -> None: - """ - Test that message histories are compatible with list tool contents - (e.g. Anthropic). - """ + """Test that message histories are compatible with list tool contents + (e.g. Anthropic format). + + These message histories will include AIMessage objects with "tool use" and + content blocks, e.g., + + .. code-block:: python + + [ + {"type": "text", "text": "Hmm let me think about that"}, + { + "type": "tool_use", + "input": {"fav_color": "green"}, + "id": "foo", + "name": "color_picker", + }, + ] + + This test should be skipped if the model does not support tool calling + (see Configuration below). + + .. dropdown:: Configuration + + To disable tool calling tests, set ``has_tool_calling`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def has_tool_calling(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, check that: + + 1. The model can correctly handle message histories that include AIMessage objects with list content. + 2. The ``tool_calls`` attribute on AIMessage objects is correctly handled and passed to the model in an appropriate format. + 3. The model can correctly handle ToolMessage objects with string content and arbitrary string values for ``tool_call_id``. + + You can ``xfail`` the test if tool calling is implemented but this format + is not supported. + + .. code-block:: python + + @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) + """ # noqa: E501 if not self.has_tool_calling: pytest.skip("Test requires tool calling.") model_with_tools = model.bind_tools([my_adder_tool]) @@ -852,9 +1246,48 @@ class ChatModelIntegrationTests(ChatModelTests): assert isinstance(result_list_content, AIMessage) def test_structured_few_shot_examples(self, model: BaseChatModel) -> None: - """ - Test that model can process few-shot examples with tool calls. - """ + """Test that the model can process few-shot examples with tool calls. + + These are represented as a sequence of messages of the following form: + + - ``HumanMessage`` with string content; + - ``AIMessage`` with the ``tool_calls`` attribute populated; + - ``ToolMessage`` with string content; + - ``AIMessage`` with string content (an answer); + - ``HuamnMessage`` with string content (a follow-up question). + + This test should be skipped if the model does not support tool calling + (see Configuration below). + + .. dropdown:: Configuration + + To disable tool calling tests, set ``has_tool_calling`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def has_tool_calling(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + This test uses a utility function in ``langchain_core`` to generate a + sequence of messages representing "few-shot" examples: https://python.langchain.com/api_reference/core/utils/langchain_core.utils.function_calling.tool_example_to_messages.html + + If this test fails, check that the model can correctly handle this + sequence of messages. + + You can ``xfail`` the test if tool calling is implemented but this format + is not supported. + + .. code-block:: python + + @pytest.mark.xfail(reason=("Not implemented.")) + def test_structured_few_shot_examples(self, model: BaseChatModel) -> None: + super().test_structured_few_shot_examples(model) + """ # noqa: E501 if not self.has_tool_calling: pytest.skip("Test requires tool calling.") model_with_tools = model.bind_tools([my_adder_tool], tool_choice="any") @@ -874,6 +1307,42 @@ class ChatModelIntegrationTests(ChatModelTests): assert isinstance(result, AIMessage) def test_image_inputs(self, model: BaseChatModel) -> None: + """Test that the model can process image inputs. + + This test should be skipped (see Configuration below) if the model does not + support image inputs These will take the form of messages with OpenAI-style + image content blocks: + + .. code-block:: python + + [ + {"type": "text", "text": "describe the weather in this image"}, + { + "type": "image_url", + "image_url": {"url": f"data:image/jpeg;base64,{image_data}"}, + }, + ] + + See https://python.langchain.com/docs/concepts/multimodality/ + + .. dropdown:: Configuration + + To disable this test, set ``supports_image_inputs`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def supports_image_inputs(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, check that the model can correctly handle messages + with image content blocks in OpenAI format, including base64-encoded + images. Otherwise, set the ``supports_image_inputs`` property to False. + """ if not self.supports_image_inputs: return image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" @@ -890,6 +1359,46 @@ class ChatModelIntegrationTests(ChatModelTests): model.invoke([message]) def test_image_tool_message(self, model: BaseChatModel) -> None: + """Test that the model can process ToolMessages with image inputs. + + This test should be skipped if the model does not support messages of the + form: + + .. code-block:: python + + ToolMessage( + content=[ + { + "type": "image_url", + "image_url": {"url": f"data:image/jpeg;base64,{image_data}"}, + }, + ], + tool_call_id="1", + name="random_image", + ) + + This test can be skipped by setting the ``supports_image_tool_message`` property + to False (see Configuration below). + + .. dropdown:: Configuration + + To disable this test, set ``supports_image_tool_message`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def supports_image_tool_message(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, check that the model can correctly handle messages + with image content blocks in ToolMessages, including base64-encoded + images. Otherwise, set the ``supports_image_tool_message`` property to + False. + """ if not self.supports_image_tool_message: return image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" @@ -921,6 +1430,72 @@ class ChatModelIntegrationTests(ChatModelTests): model.bind_tools([random_image]).invoke(messages) def test_anthropic_inputs(self, model: BaseChatModel) -> None: + """Test that model can process Anthropic-style message histories. + + These message histories will include ``AIMessage`` objects with ``tool_use`` + content blocks, e.g., + + .. code-block:: python + + AIMessage( + [ + {"type": "text", "text": "Hmm let me think about that"}, + { + "type": "tool_use", + "input": {"fav_color": "green"}, + "id": "foo", + "name": "color_picker", + }, + ] + ) + + as well as ``HumanMessage`` objects containing ``tool_result`` content blocks: + + .. code-block:: python + + HumanMessage( + [ + { + "type": "tool_result", + "tool_use_id": "foo", + "content": [ + { + "type": "text", + "text": "green is a great pick! that's my sister's favorite color", # noqa: E501 + } + ], + "is_error": False, + }, + {"type": "text", "text": "what's my sister's favorite color"}, + ] + ) + + This test should be skipped if the model does not support messages of this + form (or doesn't support tool calling generally). See Configuration below. + + .. dropdown:: Configuration + + To disable this test, set ``supports_anthropic_inputs`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def supports_anthropic_inputs(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, check that: + + 1. The model can correctly handle message histories that include message objects with list content. + 2. The ``tool_calls`` attribute on AIMessage objects is correctly handled and passed to the model in an appropriate format. + 3. HumanMessages with "tool_result" content blocks are correctly handled. + + Otherwise, if Anthropic tool call and result formats are not supported, + set the ``supports_anthropic_inputs`` property to False. + """ # noqa: E501 if not self.supports_anthropic_inputs: return @@ -982,7 +1557,45 @@ class ChatModelIntegrationTests(ChatModelTests): model.bind_tools([color_picker]).invoke(messages) def test_tool_message_error_status(self, model: BaseChatModel) -> None: - """Test that ToolMessage with status='error' can be handled.""" + """Test that ToolMessage with ``status="error"`` can be handled. + + These messages may take the form: + + .. code-block:: python + + ToolMessage( + "Error: Missing required argument 'b'.", + name="my_adder_tool", + tool_call_id="abc123", + status="error", + ) + + If possible, the ``status`` field should be parsed and passed appropriately + to the model. + + This test is optional and should be skipped if the model does not support + tool calling (see Configuration below). + + .. dropdown:: Configuration + + To disable tool calling tests, set ``has_tool_calling`` to False in your + test class: + + .. code-block:: python + + class TestMyChatModelIntegration(ChatModelIntegrationTests): + @property + def has_tool_calling(self) -> bool: + return False + + .. dropdown:: Troubleshooting + + If this test fails, check that the ``status`` field on ``ToolMessage`` + objects is either ignored or passed to the model appropriately. + + Otherwise, ensure that the ``tool_choice_value`` property is correctly + specified on the test class. + """ if not self.has_tool_calling: pytest.skip("Test requires tool calling.") model_with_tools = model.bind_tools([my_adder_tool]) @@ -1010,6 +1623,22 @@ class ChatModelIntegrationTests(ChatModelTests): assert isinstance(result, AIMessage) def test_message_with_name(self, model: BaseChatModel) -> None: + """Test that HumanMessage with values for the ``name`` field can be handled. + + These messages may take the form: + + .. code-block:: python + + HumanMessage("hello", name="example_user") + + If possible, the ``name`` field should be parsed and passed appropriately + to the model. Otherwise, it should be ignored. + + .. dropdown:: Troubleshooting + + If this test fails, check that the ``name`` field on ``HumanMessage`` + objects is either ignored or passed to the model appropriately. + """ result = model.invoke([HumanMessage("hello", name="example_user")]) assert result is not None assert isinstance(result, AIMessage) diff --git a/libs/standard-tests/langchain_tests/unit_tests/chat_models.py b/libs/standard-tests/langchain_tests/unit_tests/chat_models.py index f5e5fe54f6e..2de0776f5e3 100644 --- a/libs/standard-tests/langchain_tests/unit_tests/chat_models.py +++ b/libs/standard-tests/langchain_tests/unit_tests/chat_models.py @@ -1,4 +1,6 @@ -"""Unit tests for chat models.""" +""" +:autodoc-options: autoproperty +""" import os from abc import abstractmethod @@ -77,16 +79,218 @@ def my_adder(a: int, b: int) -> int: class ChatModelTests(BaseStandardTests): + """Base class for chat model tests. + + Test subclasses must implement the following two properties: + + chat_model_class + The chat model class to test, e.g., ``ChatParrotLink``. + + Example: + + .. code-block:: python + + @property + def chat_model_class(self) -> Type[ChatParrotLink]: + return ChatParrotLink + + chat_model_params + Initialization parameters for the chat model. + + Example: + + .. code-block:: python + + @property + def chat_model_params(self) -> dict: + return {"model": "bird-brain-001", "temperature": 0} + + In addition, test subclasses can control what features are tested (such as tool + calling or multi-modality) by selectively overriding the following properties. + Expand to see details: + + .. dropdown:: has_tool_calling + + Boolean property indicating whether the chat model supports tool calling. + + By default, this is determined by whether the chat model's `bind_tools` method + is overridden. It typically does not need to be overridden on the test class. + + .. dropdown:: tool_choice_value + + Value to use for tool choice when used in tests. + + Some tests for tool calling features attempt to force tool calling via a + `tool_choice` parameter. A common value for this parameter is "any". Defaults + to `None`. + + Note: if the value is set to "tool_name", the name of the tool used in each + test will be set as the value for `tool_choice`. + + Example: + + .. code-block:: python + + @property + def tool_choice_value(self) -> Optional[str]: + return "any" + + .. dropdown:: has_structured_output + + Boolean property indicating whether the chat model supports structured + output. + + By default, this is determined by whether the chat model's + `with_structured_output` method is overridden. If the base implementation is + intended to be used, this method should be overridden. + + See: https://python.langchain.com/docs/concepts/structured_outputs/ + + Example: + + .. code-block:: python + + @property + def has_structured_output(self) -> bool: + return True + + .. dropdown:: supports_image_inputs + + Boolean property indicating whether the chat model supports image inputs. + Defaults to ``False``. + + If set to ``True``, the chat model will be tested using content blocks of the + form + + .. code-block:: python + + [ + {"type": "text", "text": "describe the weather in this image"}, + { + "type": "image_url", + "image_url": {"url": f"data:image/jpeg;base64,{image_data}"}, + }, + ] + + See https://python.langchain.com/docs/concepts/multimodality/ + + Example: + + .. code-block:: python + + @property + def supports_image_inputs(self) -> bool: + return True + + .. dropdown:: supports_video_inputs + + Boolean property indicating whether the chat model supports image inputs. + Defaults to ``False``. No current tests are written for this feature. + + .. dropdown:: returns_usage_metadata + + Boolean property indicating whether the chat model returns usage metadata + on invoke and streaming responses. + + ``usage_metadata`` is an optional dict attribute on AIMessages that track input + and output tokens: https://python.langchain.com/api_reference/core/messages/langchain_core.messages.ai.UsageMetadata.html + + Example: + + .. code-block:: python + + @property + def returns_usage_metadata(self) -> bool: + return False + + .. dropdown:: supports_anthropic_inputs + + Boolean property indicating whether the chat model supports Anthropic-style + inputs. + + These inputs might feature "tool use" and "tool result" content blocks, e.g., + + .. code-block:: python + + [ + {"type": "text", "text": "Hmm let me think about that"}, + { + "type": "tool_use", + "input": {"fav_color": "green"}, + "id": "foo", + "name": "color_picker", + }, + ] + + If set to ``True``, the chat model will be tested using content blocks of this + form. + + Example: + + .. code-block:: python + + @property + def supports_anthropic_inputs(self) -> bool: + return False + + .. dropdown:: supports_image_tool_message + + Boolean property indicating whether the chat model supports ToolMessages + that include image content, e.g., + + .. code-block:: python + + ToolMessage( + content=[ + { + "type": "image_url", + "image_url": {"url": f"data:image/jpeg;base64,{image_data}"}, + }, + ], + tool_call_id="1", + name="random_image", + ) + + If set to ``True``, the chat model will be tested with message sequences that + include ToolMessages of this form. + + Example: + + .. code-block:: python + + @property + def supports_image_tool_message(self) -> bool: + return False + + .. dropdown:: supported_usage_metadata_details + + Property controlling what usage metadata details are emitted in both invoke + and stream. + + ``usage_metadata`` is an optional dict attribute on AIMessages that track input + and output tokens: https://python.langchain.com/api_reference/core/messages/langchain_core.messages.ai.UsageMetadata.html + + It includes optional keys ``input_token_details`` and ``output_token_details`` + that can track usage details associated with special types of tokens, such as + cached, audio, or reasoning. + + Only needs to be overridden if these details are supplied. + """ # noqa: E501 + @property @abstractmethod - def chat_model_class(self) -> Type[BaseChatModel]: ... + def chat_model_class(self) -> Type[BaseChatModel]: + """The chat model class to test, e.g., `ChatParrotLink`.""" + ... @property def chat_model_params(self) -> dict: + """Initialization parameters for the chat mobdel.""" return {} @property def standard_chat_model_params(self) -> dict: + """:meta private:""" return { "temperature": 0, "max_tokens": 100, @@ -97,12 +301,15 @@ class ChatModelTests(BaseStandardTests): @pytest.fixture def model(self) -> BaseChatModel: + """Fixture that returns an instance of the chat model. Should not be + overridden.""" return self.chat_model_class( **{**self.standard_chat_model_params, **self.chat_model_params} ) @property def has_tool_calling(self) -> bool: + """Boolean property indicating whether the model supports tool calling.""" return self.chat_model_class.bind_tools is not BaseChatModel.bind_tools @property @@ -112,6 +319,8 @@ class ChatModelTests(BaseStandardTests): @property def has_structured_output(self) -> bool: + """Boolean property indicating whether the chat model supports structured + output.""" return ( self.chat_model_class.with_structured_output is not BaseChatModel.with_structured_output @@ -119,22 +328,32 @@ class ChatModelTests(BaseStandardTests): @property def supports_image_inputs(self) -> bool: + """Boolean property indicating whether the chat model supports image inputs. + Defaults to ``False``.""" return False @property def supports_video_inputs(self) -> bool: + """Boolean property indicating whether the chat model supports image inputs. + Defaults to ``False``. No current tests are written for this feature.""" return False @property def returns_usage_metadata(self) -> bool: + """Boolean property indicating whether the chat model returns usage metadata + on invoke and streaming responses.""" return True @property def supports_anthropic_inputs(self) -> bool: + """Boolean property indicating whether the chat model supports Anthropic-style + inputs.""" return False @property def supports_image_tool_message(self) -> bool: + """Boolean property indicating whether the chat model supports ToolMessages + that include image content.""" return False @property @@ -152,31 +371,127 @@ class ChatModelTests(BaseStandardTests): ] ], ]: + """Property controlling what usage metadata details are emitted in both invoke + and stream. Only needs to be overridden if these details are returned by the + model.""" return {"invoke": [], "stream": []} class ChatModelUnitTests(ChatModelTests): + """Base class for chat model unit tests. + + Test subclasses must implement the following two properties: + + chat_model_class + The chat model class to test, e.g., ``ChatParrotLink``. + + Example: + + .. code-block:: python + + @property + def chat_model_class(self) -> Type[ChatParrotLink]: + return ChatParrotLink + + chat_model_params + Initialization parameters for the chat model. + + Example: + + .. code-block:: python + + @property + def chat_model_params(self) -> dict: + return {"model": "bird-brain-001", "temperature": 0} + + .. note:: + API references for individual test methods include troubleshooting tips. + + .. note:: + Test subclasses can control what features are tested (such as tool + calling or multi-modality) by selectively overriding the properties on the + class. Relevant properties are mentioned in the references for each method. + See this page for detail on all properties: + https://python.langchain.com/api_reference/standard_tests/unit_tests/langchain_tests.unit_tests.chat_models.ChatModelTests.html + + + Testing initialization from environment variables + Some unit tests may require testing initialization from environment variables. + These tests can be enabled by overriding the ``init_from_env_params`` + property (see below): + + .. dropdown:: init_from_env_params + + This property is used in unit tests to test initialization from + environment variables. It should return a tuple of three dictionaries + that specify the environment variables, additional initialization args, + and expected instance attributes to check. + + Defaults to empty dicts. If not overridden, the test is skipped. + + Example: + + .. code-block:: python + + @property + def init_from_env_params(self) -> Tuple[dict, dict, dict]: + return ( + { + "MY_API_KEY": "api_key", + }, + { + "model": "bird-brain-001", + }, + { + "my_api_key": "api_key", + }, + ) + """ # noqa: E501 + @property def standard_chat_model_params(self) -> dict: + """:meta private:""" params = super().standard_chat_model_params params["api_key"] = "test" return params @property def init_from_env_params(self) -> Tuple[dict, dict, dict]: - """Return env vars, init args, and expected instance attrs for initializing - from env vars.""" + """This property is used in unit tests to test initialization from environment + variables. It should return a tuple of three dictionaries that specify the + environment variables, additional initialization args, and expected instance + attributes to check.""" return {}, {}, {} def test_init(self) -> None: + """Test model initialization. This should pass for all integrations. + + .. dropdown:: Troubleshooting + + If this test fails, ensure that: + + 1. ``chat_model_params`` is specified and the model can be initialized from those params; + 2. The model accommodates standard parameters: https://python.langchain.com/docs/concepts/chat_models/#standard-parameters + """ # noqa: E501 model = self.chat_model_class( **{**self.standard_chat_model_params, **self.chat_model_params} ) assert model is not None def test_init_from_env(self) -> None: + """Test initialization from environment variables. Relies on the + ``init_from_env_params`` property. Test is skipped if that property is not + set. + + .. dropdown:: Troubleshooting + + If this test fails, ensure that ``init_from_env_params`` is specified + correctly. + """ env_params, model_params, expected_attrs = self.init_from_env_params - if env_params: + if not env_params: + pytest.skip("init_from_env_params not specified.") + else: with mock.patch.dict(os.environ, env_params): model = self.chat_model_class(**model_params) assert model is not None @@ -189,6 +504,14 @@ class ChatModelUnitTests(ChatModelTests): def test_init_streaming( self, ) -> None: + """Test that model can be initialized with ``streaming=True``. This is for + backward-compatibility purposes. + + .. dropdown:: Troubleshooting + + If this test fails, ensure that the model can be initialized with a + boolean ``streaming`` parameter. + """ model = self.chat_model_class( **{ **self.standard_chat_model_params, @@ -202,6 +525,18 @@ class ChatModelUnitTests(ChatModelTests): self, model: BaseChatModel, ) -> None: + """Test that chat model correctly handles Pydantic models that are passed + into ``bind_tools``. Test is skipped if the ``has_tool_calling`` property + on the test class is False. + + .. dropdown:: Troubleshooting + + If this test fails, ensure that the model's ``bind_tools`` method + properly handles Pydantic V2 models. ``langchain_core`` implements + a utility function that will accommodate most formats: https://python.langchain.com/api_reference/core/utils/langchain_core.utils.function_calling.convert_to_openai_tool.html + + See example implementation of ``bind_tools`` here: https://python.langchain.com/api_reference/_modules/langchain_openai/chat_models/base.html#BaseChatOpenAI.bind_tools + """ # noqa: E501 if not self.has_tool_calling: return @@ -227,12 +562,35 @@ class ChatModelUnitTests(ChatModelTests): model: BaseChatModel, schema: Any, ) -> None: + """Test ``with_structured_output`` method. Test is skipped if the + ``has_structured_output`` property on the test class is False. + + .. dropdown:: Troubleshooting + + If this test fails, ensure that the model's ``bind_tools`` method + properly handles Pydantic V2 models. ``langchain_core`` implements + a utility function that will accommodate most formats: https://python.langchain.com/api_reference/core/utils/langchain_core.utils.function_calling.convert_to_openai_tool.html + + See example implementation of ``with_structured_output`` here: https://python.langchain.com/api_reference/_modules/langchain_openai/chat_models/base.html#BaseChatOpenAI.with_structured_output + """ # noqa: E501 if not self.has_structured_output: return assert model.with_structured_output(schema) is not None def test_standard_params(self, model: BaseChatModel) -> None: + """Test that model properly generates standard parameters. These are used + for tracing purposes. + + .. dropdown:: Troubleshooting + + If this test fails, check that the model accommodates standard parameters: + https://python.langchain.com/docs/concepts/chat_models/#standard-parameters + + Check also that the model class is named according to convention + (e.g., ``ChatProviderName``). + """ + class ExpectedParams(BaseModelV1): ls_provider: str ls_model_name: str @@ -260,10 +618,20 @@ class ChatModelUnitTests(ChatModelTests): pytest.fail(f"Validation error: {e}") def test_serdes(self, model: BaseChatModel, snapshot: SnapshotAssertion) -> None: + """Test serialization and deserialization of the model. Test is skipped if the + ``is_lc_serializable`` property on the chat model class is not overwritten + to return ``True``. + + .. dropdown:: Troubleshooting + + If this test fails, check that the ``init_from_env_params`` property is + correctly set on the test class. + """ if not self.chat_model_class.is_lc_serializable(): - return - 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() + pytest.skip("Model is not serializable.") + else: + 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()