ibm: Add support for ibm-watsonx-ai new major version (#21313)

Thank you for contributing to LangChain! - [x] **PR title**: "langchain-ibm: Add support for ibm-watsonx-ai new major version" - [x] **PR message**: - **Description:** Add support for ibm-watsonx-ai new major version - **Dependencies:** `ibm_watsonx_ai` - [x] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Co-authored-by: Erick Friis <erick@langchain.dev>
3 weeks ago · 682d21c3de
parent ee6c922c91
commit 682d21c3de
6 changed files with 183 additions and 220 deletions
--- a/libs/partners/ibm/langchain_ibm/embeddings.py
+++ b/libs/partners/ibm/langchain_ibm/embeddings.py
@ -1,7 +1,7 @@
 import os
 from typing import Dict, List, Optional, Union

-from ibm_watsonx_ai import APIClient  # type: ignore
+from ibm_watsonx_ai import APIClient, Credentials  # type: ignore
 from ibm_watsonx_ai.foundation_models.embeddings import Embeddings  # type: ignore
 from langchain_core.embeddings import Embeddings as LangChainEmbeddings
 from langchain_core.pydantic_v1 import (
@ -129,38 +129,33 @@ class WatsonxEmbeddings(BaseModel, LangChainEmbeddings):
                        )
                    )

-            credentials = {
-                "url": values["url"].get_secret_value() if values["url"] else None,
-                "apikey": values["apikey"].get_secret_value()
+            credentials = Credentials(
+                url=values["url"].get_secret_value() if values["url"] else None,
+                api_key=values["apikey"].get_secret_value()
                if values["apikey"]
                else None,
-                "token": values["token"].get_secret_value()
-                if values["token"]
-                else None,
-                "password": values["password"].get_secret_value()
+                token=values["token"].get_secret_value() if values["token"] else None,
+                password=values["password"].get_secret_value()
                if values["password"]
                else None,
-                "username": values["username"].get_secret_value()
+                username=values["username"].get_secret_value()
                if values["username"]
                else None,
-                "instance_id": values["instance_id"].get_secret_value()
+                instance_id=values["instance_id"].get_secret_value()
                if values["instance_id"]
                else None,
-                "version": values["version"].get_secret_value()
+                version=values["version"].get_secret_value()
                if values["version"]
                else None,
-            }
-            credentials_without_none_value = {
-                key: value for key, value in credentials.items() if value is not None
-            }
+                verify=values["verify"],
+            )

            watsonx_embed = Embeddings(
                model_id=values["model_id"],
                params=values["params"],
-                credentials=credentials_without_none_value,
+                credentials=credentials,
                project_id=values["project_id"],
                space_id=values["space_id"],
-                verify=values["verify"],
            )

            values["watsonx_embed"] = watsonx_embed
--- a/libs/partners/ibm/langchain_ibm/llms.py
+++ b/libs/partners/ibm/langchain_ibm/llms.py
@ -2,6 +2,7 @@ import logging
 import os
 from typing import Any, Dict, Iterator, List, Mapping, Optional, Union

+from ibm_watsonx_ai import Credentials  # type: ignore
 from ibm_watsonx_ai.foundation_models import Model, ModelInference  # type: ignore
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import BaseLLM
@ -189,40 +190,34 @@ class WatsonxLLM(BaseLLM):
                            values, "instance_id", "WATSONX_INSTANCE_ID"
                        )
                    )
-
-            credentials = {
-                "url": values["url"].get_secret_value() if values["url"] else None,
-                "apikey": values["apikey"].get_secret_value()
+            credentials = Credentials(
+                url=values["url"].get_secret_value() if values["url"] else None,
+                api_key=values["apikey"].get_secret_value()
                if values["apikey"]
                else None,
-                "token": values["token"].get_secret_value()
-                if values["token"]
-                else None,
-                "password": values["password"].get_secret_value()
+                token=values["token"].get_secret_value() if values["token"] else None,
+                password=values["password"].get_secret_value()
                if values["password"]
                else None,
-                "username": values["username"].get_secret_value()
+                username=values["username"].get_secret_value()
                if values["username"]
                else None,
-                "instance_id": values["instance_id"].get_secret_value()
+                instance_id=values["instance_id"].get_secret_value()
                if values["instance_id"]
                else None,
-                "version": values["version"].get_secret_value()
+                version=values["version"].get_secret_value()
                if values["version"]
                else None,
-            }
-            credentials_without_none_value = {
-                key: value for key, value in credentials.items() if value is not None
-            }
+                verify=values["verify"],
+            )

            watsonx_model = ModelInference(
                model_id=values["model_id"],
                deployment_id=values["deployment_id"],
-                credentials=credentials_without_none_value,
+                credentials=credentials,
                params=values["params"],
                project_id=values["project_id"],
                space_id=values["space_id"],
-                verify=values["verify"],
            )
            values["watsonx_model"] = watsonx_model

--- a/libs/partners/ibm/poetry.lock
+++ b/libs/partners/ibm/poetry.lock
@ -165,13 +165,13 @@ test = ["pytest (>=6)"]

 [[package]]
 name = "freezegun"
-version = "1.4.0"
+version = "1.5.0"
 description = "Let your Python tests travel through time"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "freezegun-1.4.0-py3-none-any.whl", hash = "sha256:55e0fc3c84ebf0a96a5aa23ff8b53d70246479e9a68863f1fcac5a3e52f19dd6"},
-    {file = "freezegun-1.4.0.tar.gz", hash = "sha256:10939b0ba0ff5adaecf3b06a5c2f73071d9678e507c5eaedb23c761d56ac774b"},
+    {file = "freezegun-1.5.0-py3-none-any.whl", hash = "sha256:ec3f4ba030e34eb6cf7e1e257308aee2c60c3d038ff35996d7475760c9ff3719"},
+    {file = "freezegun-1.5.0.tar.gz", hash = "sha256:200a64359b363aa3653d8aac289584078386c7c3da77339d257e46a01fb5c77c"},
 ]

 [package.dependencies]
@ -222,14 +222,14 @@ files = [
 ibm-cos-sdk-core = "2.13.4"

 [[package]]
-name = "ibm-watson-machine-learning"
-version = "1.0.355"
-description = "IBM Watson Machine Learning API Client"
+name = "ibm-watsonx-ai"
+version = "1.0.1"
+description = "IBM watsonx.ai API Client"
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "ibm_watson_machine_learning-1.0.355-py3-none-any.whl", hash = "sha256:fbd6b06df7b43086483eeab1dbb535d2017191a6a51e2ae1beaa5af5dee01558"},
-    {file = "ibm_watson_machine_learning-1.0.355.tar.gz", hash = "sha256:b8443a302a50e4e1868e1315bc0a83c8b0de10953780227ea8c0c33909b6ae0c"},
+    {file = "ibm_watsonx_ai-1.0.1-py3-none-any.whl", hash = "sha256:82243058cc51660bb1ebd13e681aeef0be676da365e713bf4cc11af9d87f0f70"},
+    {file = "ibm_watsonx_ai-1.0.1.tar.gz", hash = "sha256:a5dfeb95ec8a30858fe7b7ae050adb3c2bc702b3735099cad1ae9d85a1c5ae78"},
 ]

 [package.dependencies]
@ -244,30 +244,7 @@ tabulate = "*"
 urllib3 = "*"

 [package.extras]
-fl = ["cloudpickle (==1.3.0)", "ddsketch (==1.1.2)", "diffprivlib (==0.5.1)", "environs (==9.5.0)", "gym", "image (==1.5.33)", "jsonpickle (==1.4.2)", "lz4", "numcompress (==0.1.2)", "numpy (==1.19.2)", "pandas (==1.3.4)", "parse (==1.19.0)", "pathlib2 (==2.3.6)", "psutil", "pyYAML (==5.4.1)", "pytest (==6.2.5)", "requests (==2.27.1)", "scikit-learn (==0.23.2)", "scipy (==1.6.3)", "setproctitle", "skorch (==0.11.0)", "tabulate (==0.8.9)", "tensorflow (==2.4.4)", "torch (==1.7.1)", "websockets (==8.1)"]
-fl-crypto = ["pyhelayers (==1.5.0.3)"]
-fl-rt22-1 = ["GPUtil", "cloudpickle (==1.3.0)", "ddsketch (==1.1.2)", "diffprivlib (==0.5.1)", "environs (==9.5.0)", "gym", "image (==1.5.33)", "joblib (==1.1.1)", "jsonpickle (==1.4.2)", "lz4", "numcompress (==0.1.2)", "numpy (==1.20.3)", "pandas (==1.3.4)", "parse (==1.19.0)", "pathlib2 (==2.3.6)", "protobuf (==3.19.5)", "psutil", "pyYAML (==5.4.1)", "pytest (==6.2.5)", "requests (==2.27.1)", "scikit-learn (==1.0.2)", "scipy (==1.7.3)", "setproctitle", "skorch (==0.11.0)", "tabulate (==0.8.9)", "tensorflow (==2.7.2)", "torch (==1.10.2)", "websockets (==10.1)"]
-fl-rt22-2-py3-10 = ["GPUtil", "cloudpickle (==1.3.0)", "cryptography (==39.0.1)", "ddsketch (==1.1.2)", "diffprivlib (==0.5.1)", "environs (==9.5.0)", "gym", "image (==1.5.33)", "joblib (==1.1.1)", "jsonpickle (==1.4.2)", "lz4", "numcompress (==0.1.2)", "numpy (==1.23.1)", "pandas (==1.4.3)", "parse (==1.19.0)", "pathlib2 (==2.3.6)", "protobuf (==3.19.5)", "psutil", "pyYAML (==6.0.1)", "pytest (==6.2.5)", "requests (==2.27.1)", "scikit-learn (==1.1.1)", "scipy (==1.8.1)", "setproctitle", "skorch (==0.12.0)", "tabulate (==0.8.9)", "tensorflow (==2.9.3)", "torch (==1.12.1)", "websockets (==10.1)"]
-fl-rt23-1-py3-10 = ["GPUtil", "cloudpickle (==1.3.0)", "cryptography (==39.0.1)", "ddsketch (==1.1.2)", "diffprivlib (==0.5.1)", "environs (==9.5.0)", "gym", "image (==1.5.33)", "joblib (==1.1.1)", "jsonpickle (==1.4.2)", "lz4", "numcompress (==0.1.2)", "numpy (==1.23.5)", "pandas (==1.5.3)", "parse (==1.19.0)", "pathlib2 (==2.3.6)", "protobuf (==4.22.1)", "psutil", "pyYAML (==6.0.1)", "pytest (==6.2.5)", "requests (==2.27.1)", "scikit-learn (==1.1.1)", "scipy (==1.10.1)", "setproctitle", "skorch (==0.12.0)", "tabulate (==0.8.9)", "tensorflow (==2.12.0)", "torch (==2.0.0)", "websockets (==10.1)"]
-
-[[package]]
-name = "ibm-watsonx-ai"
-version = "0.2.6"
-description = "IBM watsonx.ai API Client"
-optional = false
-python-versions = ">=3.10"
-files = [
-    {file = "ibm_watsonx_ai-0.2.6-py3-none-any.whl", hash = "sha256:94328b2599222737cf8247557815867e962a61603446339e7326afed012410d0"},
-    {file = "ibm_watsonx_ai-0.2.6.tar.gz", hash = "sha256:76ae8ba5b83cf4e81c800b66844163246ea95f28291048fe4b9582daabdd5fc7"},
-]
-
-[package.dependencies]
-ibm-watson-machine-learning = ">=1.0.349"
-
-[package.extras]
-fl = ["cloudpickle (==1.3.0)", "ddsketch (==1.1.2)", "diffprivlib (==0.5.1)", "environs (==9.5.0)", "gym", "image (==1.5.33)", "jsonpickle (==1.4.2)", "lz4", "numcompress (==0.1.2)", "numpy (==1.19.2)", "pandas (==1.3.4)", "parse (==1.19.0)", "pathlib2 (==2.3.6)", "psutil", "pyYAML (==5.4.1)", "pytest (==6.2.5)", "requests (==2.27.1)", "scikit-learn (==0.23.2)", "scipy (==1.6.3)", "setproctitle", "skorch (==0.11.0)", "tabulate (==0.8.9)", "tensorflow (==2.4.4)", "torch (==1.7.1)", "websockets (==8.1)"]
 fl-crypto = ["pyhelayers (==1.5.0.3)"]
-fl-rt22-1 = ["GPUtil", "cloudpickle (==1.3.0)", "ddsketch (==1.1.2)", "diffprivlib (==0.5.1)", "environs (==9.5.0)", "gym", "image (==1.5.33)", "joblib (==1.1.1)", "jsonpickle (==1.4.2)", "lz4", "numcompress (==0.1.2)", "numpy (==1.20.3)", "pandas (==1.3.4)", "parse (==1.19.0)", "pathlib2 (==2.3.6)", "protobuf (==3.19.5)", "psutil", "pyYAML (==5.4.1)", "pytest (==6.2.5)", "requests (==2.27.1)", "scikit-learn (==1.0.2)", "scipy (==1.7.3)", "setproctitle", "skorch (==0.11.0)", "tabulate (==0.8.9)", "tensorflow (==2.7.2)", "torch (==1.10.2)", "websockets (==10.1)"]
 fl-rt22-2-py3-10 = ["GPUtil", "cloudpickle (==1.3.0)", "cryptography (==39.0.1)", "ddsketch (==1.1.2)", "diffprivlib (==0.5.1)", "environs (==9.5.0)", "gym", "image (==1.5.33)", "joblib (==1.1.1)", "jsonpickle (==1.4.2)", "lz4", "numcompress (==0.1.2)", "numpy (==1.23.1)", "pandas (==1.4.3)", "parse (==1.19.0)", "pathlib2 (==2.3.6)", "protobuf (==3.19.5)", "psutil", "pyYAML (==6.0.1)", "pytest (==6.2.5)", "requests (==2.27.1)", "scikit-learn (==1.1.1)", "scipy (==1.8.1)", "setproctitle", "skorch (==0.12.0)", "tabulate (==0.8.9)", "tensorflow (==2.9.3)", "torch (==1.12.1)", "websockets (==10.1)"]
 fl-rt23-1-py3-10 = ["GPUtil", "cloudpickle (==1.3.0)", "cryptography (==39.0.1)", "ddsketch (==1.1.2)", "diffprivlib (==0.5.1)", "environs (==9.5.0)", "gym", "image (==1.5.33)", "joblib (==1.1.1)", "jsonpickle (==1.4.2)", "lz4", "numcompress (==0.1.2)", "numpy (==1.23.5)", "pandas (==1.5.3)", "parse (==1.19.0)", "pathlib2 (==2.3.6)", "protobuf (==4.22.1)", "psutil", "pyYAML (==6.0.1)", "pytest (==6.2.5)", "requests (==2.27.1)", "scikit-learn (==1.1.1)", "scipy (==1.10.1)", "setproctitle", "skorch (==0.12.0)", "tabulate (==0.8.9)", "tensorflow (==2.12.0)", "torch (==2.0.0)", "websockets (==10.1)"]

@ -350,7 +327,7 @@ files = [

 [[package]]
 name = "langchain-core"
-version = "0.1.44"
+version = "0.1.50"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@ -374,13 +351,13 @@ url = "../../core"

 [[package]]
 name = "langsmith"
-version = "0.1.49"
+version = "0.1.54"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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-    {file = "langsmith-0.1.49.tar.gz", hash = "sha256:5aee8537763f9d62b3368d79d7bfef881e2bfaa28639011d8d7328770cbd6419"},
+    {file = "langsmith-0.1.54-py3-none-any.whl", hash = "sha256:e8ba2758dbdff0fccb35337c28a5ab641dd980b22e178d390b72a15c9ae9caff"},
+    {file = "langsmith-0.1.54.tar.gz", hash = "sha256:86f5a90e48303de897f37a893f8bb635eabdaf23e674099e8bc0f2e9ca2f8faf"},
 ]

 [package.dependencies]
@ -510,62 +487,57 @@ files = [

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-version = "3.10.1"
+version = "3.10.3"
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 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "pydantic_core-2.18.2.tar.gz", hash = "sha256:2e29d20810dfc3043ee13ac7d9e25105799817683348823f305ab3f349b9386e"},
 ]

 [package.dependencies]
@ -796,13 +768,13 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no

 [[package]]
 name = "pytest-asyncio"
-version = "0.21.1"
+version = "0.21.2"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pytest-asyncio-0.21.1.tar.gz", hash = "sha256:40a7eae6dded22c7b604986855ea48400ab15b069ae38116e8c01238e9eeb64d"},
-    {file = "pytest_asyncio-0.21.1-py3-none-any.whl", hash = "sha256:8666c1c8ac02631d7c51ba282e0c69a8a452b211ffedf2599099845da5c5c37b"},
+    {file = "pytest_asyncio-0.21.2-py3-none-any.whl", hash = "sha256:ab664c88bb7998f711d8039cacd4884da6430886ae8bbd4eded552ed2004f16b"},
+    {file = "pytest_asyncio-0.21.2.tar.gz", hash = "sha256:d67738fc232b94b326b9d060750beb16e0074210b98dd8b58a5239fa2a154f45"},
 ]

 [package.dependencies]
@ -1150,4 +1122,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<4.0"
-content-hash = "74145dde7786d332ae06f03a65325b07e35f9be935df97f1258b45ef6332929c"
+content-hash = "93a9a4c4352337acc17afdf267799a6a3e9868a2af3a56d948d2a6892d5fb942"
--- a/libs/partners/ibm/pyproject.toml
+++ b/libs/partners/ibm/pyproject.toml
@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-ibm"
-version = "0.1.4"
+version = "0.1.5"
 description = "An integration package connecting IBM watsonx.ai and LangChain"
 authors = ["IBM"]
 readme = "README.md"
@ -12,8 +12,8 @@ license = "MIT"

 [tool.poetry.dependencies]
 python = ">=3.10,<4.0"
-langchain-core = "^0.1.42"
-ibm-watsonx-ai = "^0.2.6"
+langchain-core = "^0.1.50"
+ibm-watsonx-ai = "^1.0.1"

 [tool.poetry.group.test]
 optional = true
--- a/libs/partners/ibm/tests/integration_tests/test_embeddings.py
+++ b/libs/partners/ibm/tests/integration_tests/test_embeddings.py
@ -54,7 +54,7 @@ def test_03_generate_embed_documents_with_param() -> None:

 def test_10_generate_embed_query_with_client_initialization() -> None:
    watsonx_client = APIClient(
-        wml_credentials={
+        credentials={
            "url": URL,
            "apikey": WX_APIKEY,
        }
--- a/libs/partners/ibm/tests/integration_tests/test_llms.py
+++ b/libs/partners/ibm/tests/integration_tests/test_llms.py
@ -5,6 +5,7 @@ You'll need to set WATSONX_APIKEY and WATSONX_PROJECT_ID environment variables.

 import os

+from ibm_watsonx_ai import Credentials  # type: ignore
 from ibm_watsonx_ai.foundation_models import Model, ModelInference  # type: ignore
 from ibm_watsonx_ai.foundation_models.utils.enums import (  # type: ignore
    DecodingMethods,
@ -135,12 +136,12 @@ def test_watsonxllm_invoke_from_wx_model() -> None:


 def test_watsonxllm_invoke_from_wx_model_inference() -> None:
+    credentials = Credentials(
+        api_key=WX_APIKEY, url="https://us-south.ml.cloud.ibm.com"
+    )
    model = ModelInference(
        model_id=MODEL_ID,
-        credentials={
-            "apikey": WX_APIKEY,
-            "url": "https://us-south.ml.cloud.ibm.com",
-        },
+        credentials=credentials,
        project_id=WX_PROJECT_ID,
    )
    watsonxllm = WatsonxLLM(watsonx_model=model)