langchainplus-sdk

import os from langchainplus_sdk import LangChainPlusClient # Set up LangSmith environment variables # Replace with your actual API key and optionally project name os.environ["LANGCHAIN_TRACING_V2"] = "true" os.environ["LANGCHAIN_ENDPOINT"] = os.environ.get("LANGCHAIN_ENDPOINT", "https://api.langchain.plus") os.environ["LANGCHAIN_API_KEY"] = os.environ.get("LANGCHAIN_API_KEY", "YOUR_LANGCHAINPLUS_API_KEY") # os.environ["LANGCHAIN_PROJECT"] = os.environ.get("LANGCHAIN_PROJECT", "My Default Project") # Initialize the client (optional, tracing often works via environment variables directly) client = LangChainPlusClient() # Example: Create a simple dataset entry dataset_name = "My Example Dataset" description = "A dataset for demonstrating langchainplus-sdk usage." # In a real application, you would log traces from your LLM calls # or manually create runs/examples. For this quickstart, we'll simulate a simple action. try: # This part would typically be driven by actual LLM runs being traced # For a direct client interaction, you can create datasets and examples. # Check if dataset exists, if not, create it existing_datasets = client.list_datasets(name=dataset_name) if not list(existing_datasets): dataset = client.create_dataset(name=dataset_name, description=description) print(f"Created dataset: {dataset.name} (ID: {dataset.id})") else: dataset = list(existing_datasets)[0] print(f"Using existing dataset: {dataset.name} (ID: {dataset.id})") # Example of creating a simple example within the dataset example_name = "Initial Example" example_inputs = {"question": "What is the capital of France?"} example_outputs = {"answer": "Paris"} # Check if example exists to avoid duplicates in quickstart re-runs existing_examples = client.list_examples(dataset_id=dataset.id) example_found = False for ex in existing_examples: if ex.inputs == example_inputs and ex.outputs == example_outputs: example_found = True break if not example_found: example = client.create_example( dataset_id=dataset.id, inputs=example_inputs, outputs=example_outputs, name=example_name ) print(f"Created example: {example.name} (ID: {example.id})") else: print(f"Example '{example_name}' already exists in dataset.") print("LangSmith client setup and basic interaction successful.") print("Check your LangSmith UI for traces and datasets.") except Exception as e: print(f"An error occurred: {e}") print("Please ensure your LANGCHAIN_API_KEY is correct and LangSmith service is accessible.")