Feature/gsk 1819 set a minimum on langchains version

.github/workflows/build-python.yml

@@ -57,28 +57,39 @@ jobs:
         os: [ubuntu-latest]
         pydantic_v1: [false]
         pandas_v1: [false]
+        langchain_minimal: [false]
         # https://docs.github.com/en/actions/using-github-hosted-runners/about-github-hosted-runners#supported-runners-and-hardware-resources
         include:
           - python-version: "3.10"
             os: windows-2019
             pydantic_v1: false
             pandas_v1: false
+            langchain_minimal: false
           - python-version: "3.10"
             os: windows-2022
             pydantic_v1: false
             pandas_v1: false
+            langchain_minimal: false
           - python-version: "3.10"
             os: macos-latest
             pydantic_v1: false
             pandas_v1: false
+            langchain_minimal: false
           - python-version: "3.10"
             os: ubuntu-latest
             pydantic_v1: true
             pandas_v1: false
+            langchain_minimal: false
           - python-version: "3.10"
             os: ubuntu-latest
             pydantic_v1: false
             pandas_v1: true
+            langchain_minimal: false
+          - python-version: "3.10"
+            os: ubuntu-latest
+            pydantic_v1: false
+            pandas_v1: false
+            langchain_minimal: true
     continue-on-error: false # https://ncorti.com/blog/howto-github-actions-build-matrix
     steps:
       - name: Checkout code
@@ -115,6 +126,18 @@ jobs:
           pdm run pip uninstall pydantic pydantic_core -y
           pdm run pip install "pydantic>=1,<2"
 
+      - name: Install langchain minimal version
+        if: ${{ matrix.langchain_minimal }}
+        run: |
+          pdm run pip uninstall langchain -y
+          pdm run pip install "langchain==0.0.275"
+
+      - name: Check Pydantic installed version
+        if: ${{ matrix.langchain_minimal }}
+        run: |
+          pdm run pip freeze | grep '^langchain'
+          pdm run pip freeze | grep -q '^langchain==0.0.275'
+
       - name: Check Pydantic installed version
         run: |
           pdm run pip freeze | grep '^pydantic'

pyproject.toml

@@ -59,7 +59,7 @@ dev = [
     "pydantic>=2",
 ]
 ml_runtime = [
-    "langchain>=0.0.187",
+    "langchain>=0.0.275",
     "nltk>=3.8.1",
     "xgboost>=1.7.5",
     "lightgbm>=3.3.5",

tests/llm/test_talk.py

@@ -4,11 +4,28 @@
 import pytest
 from langchain.agents import AgentExecutor
 from langchain.llms import FakeListLLM
+from langchain.prompts.chat import ChatPromptTemplate
 
 from giskard import llm_config
 from giskard.llm.talk.talk import ModelSpec
 
 
+def test_create_prompt_langchain():
+    ChatPromptTemplate.from_messages(
+        [
+            (
+                "system",
+                """
+    Your task is to critisize an article based on its summary.
+    Please remember to always give unbiased and respectful critisize.
+    You should always starts with: "I believe this article is really ..."
+    """,
+            ),
+            ("user", "Article: {article_summary}"),
+        ]
+    )
+
+
 def test_predict(german_credit_test_data, german_credit_model):
     model_spec = ModelSpec(model=german_credit_model)