Update notebooks, model registry and make release (#131)

see release notes

.github/workflows/ci.yml

@@ -66,7 +66,7 @@ jobs:
         shell: bash
         run: |
           echo "Running tests, installing dependencies with poetry..."
-          poetry install --with test,lint,typing
+          poetry install --with test,lint,typing,docs
 
       - name: Run tests
         run: make test
@@ -82,3 +82,69 @@ jobs:
           # grep will exit non-zero if the target message isn't found,
           # and `set -e` above will cause the step to fail.
           echo "$STATUS" | grep 'nothing to commit, working tree clean'
+  test_docs:
+    timeout-minutes: 5
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: ${{ env.WORKDIR }}
+    strategy:
+      matrix:
+        python-version:
+          - "3.11"
+    name: Documentation Build for Python ${{ matrix.python-version }}
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_setup"
+        with:
+          python-version: ${{ matrix.python-version }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          working-directory: .
+          cache-key: benchmarks-all
+
+      - name: Install dependencies
+        shell: bash
+        run: |
+          echo "Running tests, installing dependencies with poetry..."
+          poetry install --with test,lint,typing,docs
+
+      - name: Test Sphinx Docs
+        shell: bash
+        run: |
+          echo "Attempting to build docs..."
+          make build_docs
+  test_datasets:
+    timeout-minutes: 5
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: ${{ env.WORKDIR }}
+    strategy:
+      matrix:
+        python-version:
+          - "3.11"
+    name: Validate Public Datasets
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_setup"
+        with:
+          python-version: ${{ matrix.python-version }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          working-directory: .
+          cache-key: benchmarks-all
+
+      - name: Install dependencies
+        shell: bash
+        run: |
+          echo "Running tests, installing dependencies with poetry..."
+          poetry install --with test,lint,typing,docs
+
+      - name: Request datasets
+        shell: bash
+        run: |
+          echo "Attempting to build docs..."
+          poetry run python -m scripts.check_datasets

.github/workflows/doc_publish.yaml

@@ -0,0 +1,44 @@
+name: Publish Docs
+on: [workflow_dispatch]
+permissions:
+    contents: write
+
+env:
+  POETRY_VERSION: "1.6.1"
+
+jobs:
+  docs:
+    strategy:
+      matrix:
+        python-version:
+          - "3.11"
+    runs-on: ubuntu-latest
+    name: Documentation Publish
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_setup"
+        with:
+          python-version: ${{ matrix.python-version }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          working-directory: .
+          cache-key: benchmarks-all
+
+      - name: Install dependencies
+        shell: bash
+        run: |
+          echo "Running tests, installing dependencies with poetry..."
+          poetry install --with test,lint,typing,docs
+
+      - name: Sphinx build
+        shell: bash
+        run: |
+          make build_docs
+      - name: Publish Docs
+        uses: peaceiris/actions-gh-pages@v3
+        with:
+          publish_branch: gh-pages
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          publish_dir: ./docs/build
+          force_orphan: true

.gitignore

@@ -159,4 +159,4 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
-
+.DS_Store

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Langchain AI
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

Makefile

@@ -16,6 +16,16 @@ test:
 test_watch:
 	poetry run ptw . -- $(TEST_FILE)
 
+build_docs:
+	# Copy README.md to docs/index.md
+	cp README.md ./docs/source/index.md
+	# Append to the table of contents the contents of the file
+	cat ./docs/source/toc.segment >> ./docs/source/index.md
+	poetry run sphinx-build "./docs/source" "./docs/build"
+
+clean_docs:
+	rm -rf ./docs/build
+
 ######################
 # LINTING AND FORMATTING
 ######################

README.md

@@ -1,8 +1,19 @@
-# 🦜💪 LangChain Benchmarks
+# 🦜💯 LangChain Benchmarks
 
-This repository shows how we benchmark some of our more popular chains and agents.
-The benchmarks are organized by end-to-end use cases.
-They utilize [LangSmith](https://smith.langchain.com/) heavily.
+[![Release Notes](https://img.shields.io/github/release/langchain-ai/langchain-benchmarks)](https://github.com/langchain-ai/langchain-benchmarks/releases)
+[![CI](https://github.com/langchain-ai/langchain-benchmarks/actions/workflows/ci.yml/badge.svg)](https://github.com/langchain-ai/langchain-benchmarks/actions/workflows/ci.yml)
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchainai.svg?style=social&label=Follow%20%40LangChainAI)](https://twitter.com/langchainai)
+[![](https://dcbadge.vercel.app/api/server/6adMQxSpJS?compact=true&style=flat)](https://discord.gg/6adMQxSpJS)
+[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langchain-benchmarks)](https://github.com/langchain-ai/langchain-benchmarks/issues)
+
+
+[📖 Documentation](https://langchain-ai.github.io/langchain-benchmarks/index.html)
+
+A package to help benchmark various LLM related tasks.
+
+The benchmarks are organized by end-to-end use cases, and
+utilize [LangSmith](https://smith.langchain.com/) heavily.
 
 We have several goals in open sourcing this:
 
@@ -11,8 +22,39 @@ We have several goals in open sourcing this:
 - Showing how we evaluate each task
 - Encouraging others to benchmark their solutions on these tasks (we are always looking for better ways of doing things!)
 
-We currently include the following tasks:
-- [CSV Question Answering](csv-qa)
-- [Extraction](extraction)
-- [Q&A over the LangChain docs](langchain-docs-benchmarking)
-- [Meta-evaluation of 'correctness' evaluators](meta-evals)
+## Installation
+
+To install the packages, run the following command:
+
+```bash
+pip install -U langchain-benchmarks
+```
+
+All the benchmarks come with an associated benchmark dataset stored in [LangSmith](https://smith.langchain.com). To take advantage of the eval and debugging experience, [sign up](https://smith.langchain.com), and set your API key in your environment:
+
+```bash
+export LANGCHAIN_API_KEY=ls-...
+```
+
+## Repo Structure
+
+The package is located within [langchain_benchmarks](./langchain_benchmarks/). Check out the [docs](https://langchain-ai.github.io/langchain-benchmarks/index.html) for information on how to get starte.
+
+The other directories are legacy and may be moved in the future.
+
+
+## Archived
+
+Below are archived benchmarks that require cloning this repo to run.
+
+- [CSV Question Answering](https://github.com/langchain-ai/langchain-benchmarks/tree/main/csv-qa)
+- [Extraction](https://github.com/langchain-ai/langchain-benchmarks/tree/main/extraction)
+- [Q&A over the LangChain docs](https://github.com/langchain-ai/langchain-benchmarks/tree/main/langchain-docs-benchmarking)
+- [Meta-evaluation of 'correctness' evaluators](https://github.com/langchain-ai/langchain-benchmarks/tree/main/meta-evals)
+
+
+## Related
+
+- For cookbooks on other ways to test, debug, monitor, and improve your LLM applications, check out the [LangSmith docs](https://docs.smith.langchain.com/)
+- For information on building with LangChain, check out the [python documentation](https://python.langchain.com/docs/get_started/introduction) or [JS documentation](https://js.langchain.com/docs/get_started/introduction)
+

archived/csv-qa/pandas_agent_instruct.py

@@ -5,7 +5,6 @@ from langchain.agents.agent_toolkits.conversational_retrieval.tool import (
 )
 from langchain.embeddings import OpenAIEmbeddings
 from langchain.llms import OpenAI
-from langchain.prompts import PromptTemplate
 from langchain.smith import RunEvalConfig, run_on_dataset
 from langchain.tools import PythonAstREPLTool
 from langchain.vectorstores import FAISS

archived/csv-qa/pandas_ai.py

@@ -1,6 +1,4 @@
 import pandas as pd
-from langchain.agents.agent_toolkits import create_pandas_dataframe_agent
-from langchain.agents.agent_types import AgentType
 from langchain.chat_models import ChatOpenAI
 from langchain.prompts import ChatPromptTemplate
 from langchain.schema.output_parser import StrOutputParser

archived/langchain-docs-benchmarking/app/server.py

@@ -1,8 +1,7 @@
 from chat_langchain.chain import chain
 from fastapi import FastAPI
-from openai_functions_agent import agent_executor as openai_functions_agent_chain
-
 from langserve import add_routes
+from openai_functions_agent import agent_executor as openai_functions_agent_chain
 
 app = FastAPI()
 

archived/langchain-docs-benchmarking/packages/chat-langchain/chat_langchain/chain.py

@@ -134,7 +134,7 @@ def create_response_chain(
         ]
     )
 
-    response_synthesizer = (prompt | llm | StrOutputParser()).with_config(
+    response_generator = (prompt | llm | StrOutputParser()).with_config(
         run_name="GenerateResponse",
     )
     return (
@@ -147,7 +147,7 @@ def create_response_chain(
             ),
         }
         | _context
-        | response_synthesizer
+        | response_generator
     )
 
 

archived/langchain-docs-benchmarking/prepare_dataset.py

@@ -0,0 +1,57 @@
+"""Copy the public dataset to your own langsmith tenant."""
+from typing import Optional
+
+from langsmith import Client
+
+DATASET_NAME = "LangChain Docs Q&A"
+PUBLIC_DATASET_TOKEN = "452ccafc-18e1-4314-885b-edd735f17b9d"
+
+
+def create_langchain_docs_dataset(
+    dataset_name: str = DATASET_NAME,
+    public_dataset_token: str = PUBLIC_DATASET_TOKEN,
+    client: Optional[Client] = None,
+):
+    shared_client = Client(
+        api_url="https://api.smith.langchain.com", api_key="placeholder"
+    )
+    examples = list(shared_client.list_shared_examples(public_dataset_token))
+    client = client or Client()
+    if client.has_dataset(dataset_name=dataset_name):
+        loaded_examples = list(client.list_examples(dataset_name=dataset_name))
+        if len(loaded_examples) == len(examples):
+            return
+        else:
+            ds = client.read_dataset(dataset_name=dataset_name)
+    else:
+        ds = client.create_dataset(dataset_name=dataset_name)
+    client.create_examples(
+        inputs=[e.inputs for e in examples],
+        outputs=[e.outputs for e in examples],
+        dataset_id=ds.id,
+    )
+    print("Done creating dataset.")
+
+
+if __name__ == "__main__":
+    import argparse
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--target-api-key", type=str, required=False)
+    parser.add_argument("--target-endpoint", type=str, required=False)
+    parser.add_argument("--dataset-name", type=str, default=DATASET_NAME)
+    parser.add_argument(
+        "--public-dataset-token", type=str, default=PUBLIC_DATASET_TOKEN
+    )
+    args = parser.parse_args()
+    client = None
+    if args.target_api_key or args.target_endpoint:
+        client = Client(
+            api_key=args.target_api_key,
+            api_url=args.target_endpoint,
+        )
+    create_langchain_docs_dataset(
+        dataset_name=args.dataset_name,
+        public_dataset_token=args.public_dataset_token,
+        client=client,
+    )

archived/langchain-docs-benchmarking/run_evals.py

@@ -1,6 +1,5 @@
 import argparse
 import importlib.util
-import os
 import sys
 import uuid
 from functools import partial

archived/langchain-docs-benchmarking/run_experiments.py

@@ -120,6 +120,7 @@ if __name__ == "__main__":
         ]
 
     for experiment in selected_experiments:
+        print("Running experiment:", experiment)
         main(
             **experiment,
             dataset_name=args.dataset_name,

docs/Makefile

@@ -0,0 +1,20 @@
+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line, and also
+# from the environment for the first two.
+SPHINXOPTS    ?=
+SPHINXBUILD   ?= sphinx-build
+SOURCEDIR     = source
+BUILDDIR      = build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

docs/make.bat

@@ -0,0 +1,35 @@
+@ECHO OFF
+
+pushd %~dp0
+
+REM Command file for Sphinx documentation
+
+if "%SPHINXBUILD%" == "" (
+	set SPHINXBUILD=sphinx-build
+)
+set SOURCEDIR=source
+set BUILDDIR=build
+
+%SPHINXBUILD% >NUL 2>NUL
+if errorlevel 9009 (
+	echo.
+	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
+	echo.installed, then set the SPHINXBUILD environment variable to point
+	echo.to the full path of the 'sphinx-build' executable. Alternatively you
+	echo.may add the Sphinx directory to PATH.
+	echo.
+	echo.If you don't have Sphinx installed, grab it from
+	echo.https://www.sphinx-doc.org/
+	exit /b 1
+)
+
+if "%1" == "" goto help
+
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+goto end
+
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+
+:end
+popd

docs/source/.gitignore

@@ -0,0 +1,3 @@
+chromadb/
+index.md
+Untitled.ipynb

docs/source/conf.py

@@ -0,0 +1,113 @@
+# Configuration file for the Sphinx documentation builder.
+#
+# This file only contains a selection of the most common options. For a full
+# list see the documentation:
+# https://www.sphinx-doc.org/en/master/usage/configuration.html
+
+# -- Path setup --------------------------------------------------------------
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+#
+# import os
+# import sys
+# sys.path.insert(0, os.path.abspath('.'))
+
+
+# -- Project information -----------------------------------------------------
+import pathlib
+import sys
+from typing import List
+
+import toml
+
+ROOT_FOLDER = str(pathlib.Path(__file__).parent.parent.parent)
+
+# Add the project root to the path
+sys.path.insert(0, ROOT_FOLDER)
+
+with open("../../pyproject.toml") as f:
+    data = toml.load(f)
+
+project = "LangChain Benchmarks"
+copyright = "2023, Langchain AI"
+author = "Langchain AI"
+
+version = data["tool"]["poetry"]["version"]
+release = version
+
+html_title = project + " " + version
+
+
+# -- General configuration ---------------------------------------------------
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = [
+    "sphinx.ext.autodoc",
+    "sphinx.ext.autodoc.typehints",
+    "sphinx.ext.autosummary",
+    "sphinx.ext.napoleon",
+    "sphinx.ext.viewcode",
+    "myst_nb",
+    "sphinx_copybutton",
+    "IPython.sphinxext.ipython_console_highlighting",
+]
+source_suffix = [".ipynb", ".html", ".md", ".rst"]
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ["_templates"]
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+# This pattern also affects html_static_path and html_extra_path.
+exclude_patterns: List[str] = []
+
+
+# -- Options for HTML output -------------------------------------------------
+
+# The theme to use for HTML and HTML Help pages.  See the documentation for
+# a list of builtin themes.
+#
+html_theme = "sphinx_book_theme"
+
+html_theme_options = {
+    "path_to_docs": "docs/source",
+    "repository_url": "https://github.com/langchain-ai/langchain-benchmarks",
+    "home_page_in_toc": True,
+    "show_navbar_depth": 2,
+    "use_sidenotes": True,
+    "use_repository_button": True,
+    "use_issues_button": True,
+    "use_source_button": True,
+    "use_fullscreen_button": True,
+    "repository_branch": "main",
+    "launch_buttons": {
+        "notebook_interface": "jupyterlab",
+        "colab_url": "https://colab.research.google.com",
+    },
+}
+
+html_context = {
+    "display_github": True,  # Integrate GitHub
+    "github_user": "langchain-ai",  # Username
+    "github_repo": "langchain-benchmarks",  # Repo name
+    "github_version": "main",  # Version
+    "conf_py_path": "/docs/",  # Path in the checkout to the docs root
+}
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+html_static_path = ["_static"]
+
+# These paths are either relative to html_static_path
+# or fully qualified paths (eg. https://...)
+html_css_files = [
+    "css/custom.css",
+]
+
+nb_execution_mode = "off"
+autosummary_generate = True

docs/source/notebooks/datasets.ipynb

@@ -0,0 +1,225 @@
+{
+    "cells": [
+        {
+            "cell_type": "markdown",
+            "id": "033684fb-65b2-4586-a959-68c614741ca2",
+            "metadata": {},
+            "source": [
+                "# Datasets\n",
+                "[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain-benchmarks/blob/main/docs/source/notebooks/datasets.ipynb)\n",
+                "\n",
+                "Here, we'll see how to work with LangSmith datasets."
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "%pip install -U langchain-benchmarks"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": 1,
+            "id": "6d272fbf-710e-4a49-a0da-67e010541905",
+            "metadata": {
+                "tags": []
+            },
+            "outputs": [],
+            "source": [
+                "from langchain_benchmarks import clone_public_dataset, download_public_dataset"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "id": "18ee0f96-e5c4-4ae9-aebf-7d8b88c51662",
+            "metadata": {},
+            "source": [
+                "Let's first download the dataset to the local file system"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": 2,
+            "id": "58b94f6d-0c91-4361-9b22-f758ffaa150a",
+            "metadata": {
+                "tags": []
+            },
+            "outputs": [
+                {
+                    "name": "stdout",
+                    "output_type": "stream",
+                    "text": [
+                        "Fetching examples...\n"
+                    ]
+                },
+                {
+                    "data": {
+                        "application/vnd.jupyter.widget-view+json": {
+                            "model_id": "5a2fad8c0c3549ec96a3b38fe8a002b0",
+                            "version_major": 2,
+                            "version_minor": 0
+                        },
+                        "text/plain": [
+                            "  0%|          | 0/21 [00:00<?, ?it/s]"
+                        ]
+                    },
+                    "metadata": {},
+                    "output_type": "display_data"
+                },
+                {
+                    "name": "stdout",
+                    "output_type": "stream",
+                    "text": [
+                        "Done fetching examples.\n"
+                    ]
+                }
+            ],
+            "source": [
+                "download_public_dataset(\n",
+                "    \"https://smith.langchain.com/public/452ccafc-18e1-4314-885b-edd735f17b9d/examples\"\n",
+                ")"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "id": "841db832-b0d3-4fd1-8531-1154ec9b3caa",
+            "metadata": {},
+            "source": [
+                "we can take a look at the first two examples"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": 3,
+            "id": "664e90fc-af84-4c5f-a3dd-5d9ffe649650",
+            "metadata": {
+                "tags": []
+            },
+            "outputs": [
+                {
+                    "name": "stdout",
+                    "output_type": "stream",
+                    "text": [
+                        "[\n",
+                        "  {\n",
+                        "    \"created_at\": \"2023-11-15T15:26:53.511629\",\n",
+                        "    \"dataset_id\": \"9f73165c-d333-4d14-8f59-bd7eede5db08\",\n",
+                        "    \"id\": \"0703a989-2693-4039-a1f6-7281fc1b4cb0\",\n",
+                        "    \"inputs\": {\n",
+                        "      \"question\": \"do bob and alice live in the same city?\"\n",
+                        "    },\n",
+                        "    \"modified_at\": \"2023-11-15T15:26:53.511629\",\n",
+                        "    \"outputs\": {\n",
+                        "      \"expected_steps\": [\n",
+                        "        \"find_users_by_name\",\n",
+                        "        \"get_user_location\",\n",
+                        "        \"get_city_for_location\",\n",
+                        "        \"get_user_location\",\n",
+                        "        \"get_city_for_location\"\n",
+                        "      ],\n",
+                        "      \"order_matters\": false,\n",
+                        "      \"reference\": \"no\"\n",
+                        "    },\n",
+                        "    \"runs\": []\n",
+                        "  },\n",
+                        "  {\n",
+                        "    \"created_at\": \"2023-11-15T15:26:53.491359\",\n",
+                        "    \"dataset_id\": \"9f73165c-d333-4d14-8f59-bd7eede5db08\",\n",
+                        "    \"id\": \"b258b95a-9524-4da7-b758-c5481109322d\",\n",
+                        "    \"inputs\": {\n",
+                        "      \"question\": \"Is it likely that Donna is outside with an umbrella at this time?\"\n",
+                        "    },\n",
+                        "    \"modified_at\": \"2023-11-15T15:26:53.491359\",\n",
+                        "    \"outputs\": {\n",
+                        "      \"expected_steps\": [\n",
+                        "        \"find_users_by_name\",\n",
+                        "        \"get_user_location\",\n",
+                        "        \"get_current_time_for_location\",\n",
+                        "        \"get_current_weather_for_location\"\n",
+                        "      ],\n",
+                        "      \"order_matters\": false,\n",
+                        "      \"reference\": \"yes\"\n",
+                        "    },\n",
+                        "    \"runs\": []\n",
+                        "  }\n",
+                        "]\n"
+                    ]
+                }
+            ],
+            "source": [
+                "import json\n",
+                "\n",
+                "with open(\"./e95d45da-aaa3-44b3-ba2b-7c15ff6e46f5.json\", \"r\", encoding=\"utf-8\") as f:\n",
+                "    print(json.dumps(json.load(f)[:2], indent=2, sort_keys=True))"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "id": "2c6cf01f-466b-406d-b4c7-2395747780fd",
+            "metadata": {},
+            "source": [
+                "We can also clone the dataset to our local tenant"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "id": "e4dea4df-2f1c-436b-a71c-49ffb2295ccc",
+            "metadata": {},
+            "source": [
+                "Executing this command will clone the dataset to your own LangSmith tenant. \n",
+                "For this to work you must have a [LangSmith account](https://smith.langchain.com/) set up."
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "import os\n",
+                "\n",
+                "# Get from https://smith.langchain.com/settings\n",
+                "os.environ[\"LANGCHAIN_API_KEY\"] = \"ls_...\""
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "id": "18d0b905-2a6a-4752-a7cb-8653bd9049e3",
+            "metadata": {
+                "tags": []
+            },
+            "outputs": [],
+            "source": [
+                "clone_public_dataset(\n",
+                "    \"https://smith.langchain.com/public/452ccafc-18e1-4314-885b-edd735f17b9d/examples\",\n",
+                "    dataset_name=\"Agent Dataset\",\n",
+                ")"
+            ]
+        }
+    ],
+    "metadata": {
+        "kernelspec": {
+            "display_name": "Python 3 (ipykernel)",
+            "language": "python",
+            "name": "python3"
+        },
+        "language_info": {
+            "codemirror_mode": {
+                "name": "ipython",
+                "version": 3
+            },
+            "file_extension": ".py",
+            "mimetype": "text/x-python",
+            "name": "python",
+            "nbconvert_exporter": "python",
+            "pygments_lexer": "ipython3",
+            "version": "3.11.2"
+        }
+    },
+    "nbformat": 4,
+    "nbformat_minor": 5
+}