use foundry local with LangChain

apps/1_call_azure_openai_chat/foundry_local_app.py

@@ -0,0 +1,78 @@
+import argparse
+import logging
+
+from foundry_local import FoundryLocalManager
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_openai import ChatOpenAI
+
+logger = logging.getLogger(__name__)
+
+
+def init_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(
+        prog="foundry_local_app",
+        description="Translate English to Japanese using Foundry Local.",
+    )
+    parser.add_argument("-i", "--input", default="I love to code.")
+    parser.add_argument("-a", "--alias", default="phi-3-mini-4k")
+    parser.add_argument("-v", "--verbose", action="store_true")
+    return parser.parse_args()
+
+
+def main(
+    alias: str,
+    input: str,
+) -> None:
+    manager = FoundryLocalManager(alias)
+
+    llm = ChatOpenAI(
+        model=manager.get_model_info(alias).id,
+        base_url=manager.endpoint,
+        api_key=manager.api_key,
+        temperature=0.0,
+        streaming=False,
+    )
+
+    prompt = ChatPromptTemplate.from_messages(
+        [
+            ("system", "You are a helpful assistant that translates {input_language} to {output_language}."),
+            ("human", "{input}"),
+        ]
+    )
+
+    chain = prompt | llm
+
+    try:
+        ai_msg = chain.invoke(
+            {
+                "input_language": "English",
+                "output_language": "Japanese",
+                "input": input,
+            },
+        )
+        logger.debug(f"AI message: {ai_msg}")
+        print(f"Response: {ai_msg.content}")
+    except Exception as e:
+        logger.error(e)
+        raise e
+
+
+if __name__ == "__main__":
+    """
+    # Usage
+        $ uv run python apps/1_call_azure_openai_chat/foundry_local_app.py --help
+    # Example
+        $ uv run python apps/1_call_azure_openai_chat/foundry_local_app.py --verbose
+    # References
+        - Get started with Foundry Local: https://learn.microsoft.com/azure/ai-foundry/foundry-local/get-started
+        - Build a translation application with LangChain: https://learn.microsoft.com/azure/ai-foundry/foundry-local/how-to/how-to-use-langchain-with-foundry-local?pivots=programming-language-python
+    """
+    args = init_args()
+
+    if args.verbose:
+        logging.basicConfig(level=logging.DEBUG)
+
+    main(
+        alias=args.alias,
+        input=args.input,
+    )

pyproject.toml

@@ -39,6 +39,7 @@ dependencies = [
     "pydantic>=2.10.2",
     "azure-ai-projects>=1.0.0b2",
     "azure-ai-inference>=1.0.0b6",
+    "foundry-local-sdk>=0.3.1",
 ]
 
 [tool.uv]