Merge

.github/scripts/deployDomainVercel.sh

@@ -0,0 +1,30 @@
+#!/bin/bash
+
+# Check if an argument is provided
+if [ $# -eq 0 ]; then
+    echo "Error: Please provide a version string as an argument."
+    exit 1
+fi
+
+inputString=$1
+
+# Check if VERCEL_TOKEN is set
+if [ -z "$VERCEL_TOKEN" ]; then
+    echo "Error: VERCEL_TOKEN is not set."
+    exit 1
+fi
+
+# save stdout and stderr to files
+vercel deploy --prebuilt --token="$VERCEL_TOKEN" >deployment-url.txt 2>error.txt
+
+# check the exit code
+code=$?
+if [ $code -eq 0 ]; then
+    # Set the deploymentUrl using the input string
+    deploymentUrl="${inputString}.api.js.langchain.com"
+    vercel alias $(cat deployment-url.txt) $deploymentUrl --token="$VERCEL_TOKEN" --scope="langchain"
+else
+    # Handle the error
+    errorMessage=$(cat error.txt)
+    echo "There was an error: $errorMessage"
+fi

.github/workflows/deploy-api-refs-prod.yml

@@ -3,7 +3,7 @@ name: Deploy API Refs Prod
 on:
   workflow_dispatch:  # Allows triggering the workflow manually in GitHub UI
   push:
-    branches: ["main"]
+    branches: ["main", "v0.2"]
 
 # If another push to the same PR or branch happens while this workflow is still running,
 # cancel the earlier run in favor of the next run.
@@ -34,6 +34,21 @@ jobs:
       - name: Build All Projects
         run: yarn turbo:command build --filter=!examples --filter=!api_refs --filter=!core_docs --filter=!create-langchain-integration
       - name: Build Project Artifacts
-        run: vercel build --prod --token=${{ secrets.VERCEL_TOKEN }}
-      - name: Deploy Project Artifacts to Vercel
-        run: vercel deploy --prebuilt --prod --token=${{ secrets.VERCEL_TOKEN }}
+        run: |
+          if [ ${{ github.ref }} = 'refs/heads/main' ]; then
+            vercel build --prod --token=${{ secrets.VERCEL_TOKEN }}
+          else
+            vercel build --token=${{ secrets.VERCEL_TOKEN }}
+          fi
+      - name: Deploy to Vercel
+        env:
+          VERCEL_TOKEN: ${{ secrets.VERCEL_TOKEN }}
+        run: |
+          if [ ${{ github.ref }} = 'refs/heads/main' ]; then
+            vercel deploy --prebuilt --prod --token=${{ secrets.VERCEL_TOKEN }}
+          elif [ ${{ github.ref }} = 'refs/heads/v0.2' ]; then
+            .github/scripts/deployDomainVercel.sh v02
+          else
+            echo "Error: Deployment is only allowed for 'main' or 'v0.2' branches."
+            exit 1
+          fi

.vercelignore

@@ -0,0 +1,4 @@
+node_modules/
+**/node_modules/
+.next/
+**/.next/

deno.json

@@ -1,20 +1,20 @@
 {
   "imports": {
-    "langchain/": "npm:/langchain/",
+    "langchain/": "npm:/langchain@0.3.2/",
+    "@langchain/anthropic": "npm:@langchain/anthropic@0.3.0",
+    "@langchain/cloudflare": "npm:@langchain/cloudflare@0.1.0",
+    "@langchain/community/": "npm:/@langchain/community@0.3.0/",
+    "@langchain/openai": "npm:@langchain/openai@0.3.0",
+    "@langchain/cohere": "npm:@langchain/cohere@0.3.0",
+    "@langchain/textsplitters": "npm:@langchain/textsplitters@0.1.0",
+    "@langchain/google-vertexai-web": "npm:@langchain/google-vertexai-web@0.1.0",
+    "@langchain/mistralai": "npm:@langchain/mistralai@0.1.0",
+    "@langchain/core/": "npm:/@langchain/core@0.3.1/",
+    "@langchain/pinecone": "npm:@langchain/pinecone@0.1.0",
+    "@langchain/google-common": "npm:@langchain/google-common@0.1.0",
+    "@langchain/langgraph": "npm:/@langchain/langgraph@0.2.3",
+    "@langchain/langgraph/": "npm:/@langchain/langgraph@0.2.3/",
     "@faker-js/faker": "npm:@faker-js/faker",
-    "@langchain/anthropic": "npm:@langchain/anthropic",
-    "@langchain/cloudflare": "npm:@langchain/cloudflare",
-    "@langchain/community/": "npm:/@langchain/community@0.2.2/",
-    "@langchain/openai": "npm:@langchain/openai",
-    "@langchain/cohere": "npm:@langchain/cohere",
-    "@langchain/textsplitters": "npm:@langchain/textsplitters",
-    "@langchain/google-vertexai-web": "npm:@langchain/google-vertexai-web",
-    "@langchain/mistralai": "npm:@langchain/mistralai",
-    "@langchain/core/": "npm:/@langchain/core@0.2.16/",
-    "@langchain/pinecone": "npm:@langchain/pinecone",
-    "@langchain/google-common": "npm:@langchain/google-common",
-    "@langchain/langgraph": "npm:/@langchain/langgraph@0.0.21",
-    "@langchain/langgraph/": "npm:/@langchain/langgraph@0.0.21/",
     "@microsoft/fetch-event-source": "npm:@microsoft/fetch-event-source",
     "@pinecone-database/pinecone": "npm:@pinecone-database/pinecone",
     "cheerio": "npm:cheerio",

docs/core_docs/docs/concepts.mdx

@@ -657,7 +657,7 @@ const tools = toolkit.getTools()
 
 By themselves, language models can't take actions - they just output text.
 A big use case for LangChain is creating **agents**.
-Agents are systems that use an LLM as a reasoning enginer to determine which actions to take and what the inputs to those actions should be.
+Agents are systems that use an LLM as a reasoning engineer to determine which actions to take and what the inputs to those actions should be.
 The results of those actions can then be fed back into the agent and it determine whether more actions are needed, or whether it is okay to finish.
 
 [LangGraph](https://github.com/langchain-ai/langgraphjs) is an extension of LangChain specifically aimed at creating highly controllable and customizable agents.