feat(js): Pull SDK and build JS API refs

Makefile

@@ -14,11 +14,12 @@ build-api-ref:
 	$(PYTHON) langsmith-sdk/python/docs/create_api_rst.py
 	LC_ALL=C $(PYTHON) -m sphinx -T -E -b html -d langsmith-sdk/python/docs/_build/doctrees -c langsmith-sdk/python/docs langsmith-sdk/python/docs langsmith-sdk/python/docs/_build/html -j auto
 	$(PYTHON) langsmith-sdk/python/docs/scripts/custom_formatter.py langsmith-sdk/docs/_build/html/
-
+	cd langsmith-sdk/js && yarn && yarn run build:typedoc --useHostedBaseUrlForAbsoluteLinks true --hostedBaseUrl "https://$${VERCEL_URL:-docs.smith.langchain.com}/reference/js/"
 
 vercel-build: install-vercel-deps build-api-ref 
 	mkdir -p static/reference/python
 	mv langsmith-sdk/python/docs/_build/html/* static/reference/python/
+	mkdir -p static/reference/js
+	mv langsmith-sdk/js/_build/api_refs/* static/reference/js/
 	rm -rf langsmith-sdk
 	NODE_OPTIONS="--max-old-space-size=5000" yarn run docusaurus build
-

docs/evaluation/concepts/index.mdx

@@ -101,7 +101,7 @@ There are a number of ways to define and run evaluators:
 - **Custom code**: Define [custom evaluators](/evaluation/how_to_guides/custom_evaluator) as Python or TypeScript functions and run them client-side using the SDKs or server-side via the UI.
 - **Built-in evaluators**: LangSmith has a number of built-in evaluators that you can configure and run via the UI.
 
-You can run evaluators using the LangSmith SDK ([Python](https://docs.smith.langchain.com/reference/python) and TypeScript), via the [Prompt Playground](../../prompt_engineering/concepts#prompt-playground), or by configuring [Rules](../../observability/how_to_guides/monitoring/rules) to automatically run them on particular tracing projects or datasets.
+You can run evaluators using the LangSmith SDK ([Python](https://docs.smith.langchain.com/reference/python) and [TypeScript](https://docs.smith.langchain.com/reference/js)), via the [Prompt Playground](../../prompt_engineering/concepts#prompt-playground), or by configuring [Rules](../../observability/how_to_guides/monitoring/rules) to automatically run them on particular tracing projects or datasets.
 
 #### Evaluation techniques
 
@@ -165,7 +165,7 @@ It is offline because we're evaluating on a pre-compiled set of data.
 An online evaluation, on the other hand, is one in which we evaluate a deployed application's outputs on real traffic, in near realtime.
 Offline evaluations are used for testing a version(s) of your application pre-deployment.
 
-You can run offline evaluations client-side using the LangSmith SDK ([Python](https://docs.smith.langchain.com/reference/python) and TypeScript). You can run them server-side via the [Prompt Playground](../../prompt_engineering/concepts#prompt-playground) or by configuring [automations](/observability/how_to_guides/monitoring/rules) to run certain evaluators on every new experiment against a specific dataset.
+You can run offline evaluations client-side using the LangSmith SDK ([Python](https://docs.smith.langchain.com/reference/python) and [TypeScript](https://docs.smith.langchain.com/reference/js)). You can run them server-side via the [Prompt Playground](../../prompt_engineering/concepts#prompt-playground) or by configuring [automations](/observability/how_to_guides/monitoring/rules) to run certain evaluators on every new experiment against a specific dataset.
 
 ![Offline](./static/offline.png)
 

docs/reference/index.md

@@ -15,6 +15,7 @@ Technical reference that covers components, APIs, and other aspects of LangSmith
 ### SDK
 
 - [Python SDK Reference](https://docs.smith.langchain.com/reference/python)
+- [JS/TS SDK Reference](https://docs.smith.langchain.com/reference/js)
 - [LangChain off-the-shelf evaluators (Python only)](./reference/sdk_reference/langchain_evaluators)
 
 ### Common data types

docusaurus.config.js

@@ -150,6 +150,10 @@ const config = {
                 label: "Python",
                 to: "https://docs.smith.langchain.com/reference/python",
               },
+              {
+                label: "JS/TS",
+                to: "https://docs.smith.langchain.com/reference/js",
+              },
             ],
           },
         ],

vercel.json

@@ -87,7 +87,7 @@
       "destination": "/old/category/proxy/:path*"
     },
     {
-      "source": "/category/release-notes", 
+      "source": "/category/release-notes",
       "destination": "/self_hosting/release_notes"
     },
     {
@@ -187,37 +187,37 @@
       "destination": "/prompt_engineering/tutorials/optimize_classifier"
     },
     {
-        "source": "/evaluation/how_to_guides/evaluation/evaluate_llm_application#evaluate-on-a-particular-version-of-a-dataset",
-        "destination": "/evaluation/how_to_guides/evaluation/dataset_version"
+      "source": "/evaluation/how_to_guides/evaluation/evaluate_llm_application#evaluate-on-a-particular-version-of-a-dataset",
+      "destination": "/evaluation/how_to_guides/evaluation/dataset_version"
     },
     {
-        "source": "/evaluation/how_to_guides/evaluation/:path*",
-        "destination": "/evaluation/how_to_guides/:path*"
+      "source": "/evaluation/how_to_guides/evaluation/:path*",
+      "destination": "/evaluation/how_to_guides/:path*"
     },
     {
-        "source": "/evaluation/how_to_guides/datasets/:path*",
-        "destination": "/evaluation/how_to_guides/:path*"
+      "source": "/evaluation/how_to_guides/datasets/:path*",
+      "destination": "/evaluation/how_to_guides/:path*"
     },
     {
-        "source": "/evaluation/how_to_guides/human_feedback/:path*",
-        "destination": "/evaluation/how_to_guides/:path*"
+      "source": "/evaluation/how_to_guides/human_feedback/:path*",
+      "destination": "/evaluation/how_to_guides/:path*"
     },
     {
-        "source": "/reference/python(/?)",
-        "destination": "/reference/python/reference"
+      "source": "/reference/python(/?)",
+      "destination": "/reference/python/reference"
     },
     {
-        "source": "/reference/sdk_reference(/?)",
-        "destination": "/reference/"
+      "source": "/reference/sdk_reference(/?)",
+      "destination": "/reference/"
     },
     {
       "source": "/administration/pricing",
       "destination": "https://www.langchain.com/pricing-langsmith"
-  },    
-  {
-     "source": "/pricing/plans",
-     "destination": "https://www.langchain.com/pricing-langsmith"
-  }
+    },
+    {
+      "source": "/pricing/plans",
+      "destination": "https://www.langchain.com/pricing-langsmith"
+    }
   ],
   "builds": [
     {