diff --git a/docs/core_docs/docs/integrations/chat/fireworks.ipynb b/docs/core_docs/docs/integrations/chat/fireworks.ipynb
index e5276cd34c6b..9c2219315fca 100644
--- a/docs/core_docs/docs/integrations/chat/fireworks.ipynb
+++ b/docs/core_docs/docs/integrations/chat/fireworks.ipynb
@@ -3,10 +3,14 @@
   {
    "cell_type": "raw",
    "id": "afaf8039",
-   "metadata": {},
+   "metadata": {
+    "vscode": {
+     "languageId": "raw"
+    }
+   },
    "source": [
     "---\n",
-    "sidebar_label: ChatFireworks\n",
+    "sidebar_label: Fireworks\n",
     "---"
    ]
   },
@@ -24,7 +28,7 @@
     "\n",
     "| Class | Package | Local | Serializable | [PY support](https:/python.langchain.com/v0.2/docs/integrations/chat/fireworks) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |\n",
-    "| [ChatFireworks](https://api.js.langchain.com/classes/langchain_community_chat_models_fireworks.ChatFireworks.html) | [@langchain/community](https://api.js.langchain.com/modules/langchain_community_chat_models_fireworks.html) | ❌ | ✅ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/community?style=flat-square&label=%20) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20) |\n",
+    "| [ChatFireworks](https://api.js.langchain.com/classes/langchain_community_chat_models_fireworks.ChatFireworks.html) | [@langchain/community](https://api.js.langchain.com/modules/langchain_community_chat_models_fireworks.html) | ❌ | ✅ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/community?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |\n",
     "\n",
     "### Model features\n",
     "| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
diff --git a/docs/core_docs/docs/integrations/chat/mistral.ipynb b/docs/core_docs/docs/integrations/chat/mistral.ipynb
index f308e0c1d768..047ec3c4e1ad 100644
--- a/docs/core_docs/docs/integrations/chat/mistral.ipynb
+++ b/docs/core_docs/docs/integrations/chat/mistral.ipynb
@@ -3,10 +3,14 @@
   {
    "cell_type": "raw",
    "id": "afaf8039",
-   "metadata": {},
+   "metadata": {
+    "vscode": {
+     "languageId": "raw"
+    }
+   },
    "source": [
     "---\n",
-    "sidebar_label: ChatMistralAI\n",
+    "sidebar_label: MistralAI\n",
     "---"
    ]
   },
@@ -24,7 +28,7 @@
     "\n",
     "| Class | Package | Local | Serializable | [PY support](https:/python.langchain.com/v0.2/docs/integrations/chat/mistralai) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |\n",
-    "| [ChatMistralAI](https://api.js.langchain.com/classes/langchain_mistralai.ChatMistralAI.html) | [@langchain/mistralai](https://api.js.langchain.com/modules/langchain_mistralai.html) | ❌ | ❌ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/mistralai?style=flat-square&label=%20) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/mistralai?style=flat-square&label=%20) |\n",
+    "| [ChatMistralAI](https://api.js.langchain.com/classes/langchain_mistralai.ChatMistralAI.html) | [@langchain/mistralai](https://api.js.langchain.com/modules/langchain_mistralai.html) | ❌ | ❌ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/mistralai?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/mistralai?style=flat-square&label=%20&) |\n",
     "\n",
     "### Model features\n",
     "| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
@@ -250,7 +254,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 1,
    "id": "98d9034c",
    "metadata": {},
    "outputs": [
@@ -263,7 +267,7 @@
       "    name: 'calculator',\n",
       "    args: { operation: 'add', number1: 2, number2: 2 },\n",
       "    type: 'tool_call',\n",
-      "    id: '2HFfjvCvo'\n",
+      "    id: 'Tn8X3UCSP'\n",
       "  }\n",
       "]\n"
      ]
@@ -275,7 +279,7 @@
     "import { z } from \"zod\";\n",
     "import { tool } from \"@langchain/core/tools\";\n",
     "\n",
-    "const calculatorSchema2 = z.object({\n",
+    "const calculatorSchema = z.object({\n",
     "  operation: z\n",
     "    .enum([\"add\", \"subtract\", \"multiply\", \"divide\"])\n",
     "    .describe(\"The type of operation to execute.\"),\n",
@@ -283,24 +287,23 @@
     "  number2: z.number().describe(\"The second number to operate on.\"),\n",
     "});\n",
     "\n",
-    "const calculatorTool2 = tool((input) => {\n",
+    "const calculatorTool = tool((input) => {\n",
     "  return JSON.stringify(input);\n",
     "}, {\n",
     "  name: \"calculator\",\n",
     "  description: \"A simple calculator tool\",\n",
-    "  schema: calculatorSchema2,\n",
+    "  schema: calculatorSchema,\n",
     "});\n",
     "\n",
-    "const llm2 = new ChatMistralAI({\n",
+    "// Bind the tool to the model\n",
+    "const modelWithTool = new ChatMistralAI({\n",
     "  model: \"mistral-large-latest\",\n",
+    "}).bind({\n",
+    "  tools: [calculatorTool],\n",
     "});\n",
     "\n",
-    "// Bind the tool to the model\n",
-    "const modelWithTool2 = llm2.bind({\n",
-    "  tools: [calculatorTool2],\n",
-    "});\n",
     "\n",
-    "const prompt2 = ChatPromptTemplate.fromMessages([\n",
+    "const calcToolPrompt = ChatPromptTemplate.fromMessages([\n",
     "  [\n",
     "    \"system\",\n",
     "    \"You are a helpful assistant who always needs to use a calculator.\",\n",
@@ -309,12 +312,12 @@
     "]);\n",
     "\n",
     "// Chain your prompt, model, and output parser together\n",
-    "const chain2 = prompt2.pipe(modelWithTool2);\n",
+    "const chainWithCalcTool = calcToolPrompt.pipe(modelWithTool);\n",
     "\n",
-    "const response2 = await chain2.invoke({\n",
+    "const calcToolRes = await chainWithCalcTool.invoke({\n",
     "  input: \"What is 2 + 2?\",\n",
     "});\n",
-    "console.log(response2.tool_calls);"
+    "console.log(calcToolRes.tool_calls);"
    ]
   },
   {
@@ -337,7 +340,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "id": "a8638d82",
    "metadata": {},
    "outputs": [
@@ -354,7 +357,7 @@
     "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
     "import { z } from \"zod\";\n",
     "\n",
-    "const calculatorSchema3 = z\n",
+    "const calculatorSchemaForWSO = z\n",
     "  .object({\n",
     "    operation: z\n",
     "      .enum([\"add\", \"subtract\", \"multiply\", \"divide\"])\n",
@@ -364,14 +367,16 @@
     "  })\n",
     "  .describe(\"A simple calculator tool\");\n",
     "\n",
-    "const llm3 = new ChatMistralAI({\n",
+    "const llmForWSO = new ChatMistralAI({\n",
     "  model: \"mistral-large-latest\",\n",
-    "});\n",
+    "})\n",
     "\n",
     "// Pass the schema and tool name to the withStructuredOutput method\n",
-    "const modelWithTool3 = llm3.withStructuredOutput(calculatorSchema3);\n",
+    "const modelWithStructuredOutput = llmForWSO.withStructuredOutput(calculatorSchemaForWSO, {\n",
+    "  name: \"calculator\",\n",
+    "});\n",
     "\n",
-    "const prompt3 = ChatPromptTemplate.fromMessages([\n",
+    "const promptForWSO = ChatPromptTemplate.fromMessages([\n",
     "  [\n",
     "    \"system\",\n",
     "    \"You are a helpful assistant who always needs to use a calculator.\",\n",
@@ -380,12 +385,12 @@
     "]);\n",
     "\n",
     "// Chain your prompt and model together\n",
-    "const chain3 = prompt3.pipe(modelWithTool3);\n",
+    "const chainWSO = promptForWSO.pipe(modelWithStructuredOutput);\n",
     "\n",
-    "const response3 = await chain3.invoke({\n",
+    "const responseWSO = await chainWSO.invoke({\n",
     "  input: \"What is 2 + 2?\",\n",
     "});\n",
-    "console.log(response3);"
+    "console.log(responseWSO);"
    ]
   },
   {
@@ -398,7 +403,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "id": "9786b41a",
    "metadata": {},
    "outputs": [
@@ -416,14 +421,14 @@
       "          name: 'calculator',\n",
       "          args: { operation: 'add', number1: 2, number2: 2 },\n",
       "          type: 'tool_call',\n",
-      "          id: 'qVxKofNLR'\n",
+      "          id: 'w48T6Nc3d'\n",
       "        }\n",
       "      ],\n",
       "      invalid_tool_calls: [],\n",
       "      additional_kwargs: {\n",
       "        tool_calls: [\n",
       "          {\n",
-      "            id: 'qVxKofNLR',\n",
+      "            id: 'w48T6Nc3d',\n",
       "            function: {\n",
       "              name: 'calculator',\n",
       "              arguments: '{\"operation\": \"add\", \"number1\": 2, \"number2\": 2}'\n",
@@ -441,7 +446,7 @@
       "    additional_kwargs: {\n",
       "      tool_calls: [\n",
       "        {\n",
-      "          id: 'qVxKofNLR',\n",
+      "          id: 'w48T6Nc3d',\n",
       "          function: {\n",
       "            name: 'calculator',\n",
       "            arguments: '{\"operation\": \"add\", \"number1\": 2, \"number2\": 2}'\n",
@@ -460,7 +465,7 @@
       "        name: 'calculator',\n",
       "        args: { operation: 'add', number1: 2, number2: 2 },\n",
       "        type: 'tool_call',\n",
-      "        id: 'qVxKofNLR'\n",
+      "        id: 'w48T6Nc3d'\n",
       "      }\n",
       "    ],\n",
       "    invalid_tool_calls: [],\n",
@@ -472,16 +477,16 @@
     }
    ],
    "source": [
-    "const includeRawModel3 = llm3.withStructuredOutput(calculatorSchema3, {\n",
+    "const includeRawModel = llmForWSO.withStructuredOutput(calculatorSchemaForWSO, {\n",
     "  name: \"calculator\",\n",
     "  includeRaw: true,\n",
     "});\n",
-    "const includeRawChain3 = prompt3.pipe(includeRawModel3);\n",
+    "const includeRawChain = promptForWSO.pipe(includeRawModel);\n",
     "\n",
-    "const includeRawResponse3 = await includeRawChain3.invoke({\n",
+    "const includeRawResponse = await includeRawChain.invoke({\n",
     "  input: \"What is 2 + 2?\",\n",
     "});\n",
-    "console.dir(includeRawResponse3, { depth: null });"
+    "console.dir(includeRawResponse, { depth: null });"
    ]
   },
   {
@@ -494,7 +499,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "id": "9f1dc9bd",
    "metadata": {},
    "outputs": [
@@ -510,7 +515,7 @@
     "import { ChatMistralAI } from \"@langchain/mistralai\";\n",
     "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
     "\n",
-    "const calculatorJsonSchema4 = {\n",
+    "const calculatorJsonSchema = {\n",
     "  type: \"object\",\n",
     "  properties: {\n",
     "    operation: {\n",
@@ -528,14 +533,14 @@
     "  description: \"A simple calculator tool\",\n",
     "};\n",
     "\n",
-    "const llm4 = new ChatMistralAI({\n",
+    "const llmForJsonSchema = new ChatMistralAI({\n",
     "  model: \"mistral-large-latest\",\n",
     "});\n",
     "\n",
     "// Pass the schema and tool name to the withStructuredOutput method\n",
-    "const modelWithTool4 = llm4.withStructuredOutput(calculatorJsonSchema4);\n",
+    "const modelWithJsonSchemaTool = llmForJsonSchema.withStructuredOutput(calculatorJsonSchema);\n",
     "\n",
-    "const prompt4 = ChatPromptTemplate.fromMessages([\n",
+    "const promptForJsonSchema = ChatPromptTemplate.fromMessages([\n",
     "  [\n",
     "    \"system\",\n",
     "    \"You are a helpful assistant who always needs to use a calculator.\",\n",
@@ -544,12 +549,12 @@
     "]);\n",
     "\n",
     "// Chain your prompt and model together\n",
-    "const chain4 = prompt4.pipe(modelWithTool4);\n",
+    "const chainWithJsonSchema = promptForJsonSchema.pipe(modelWithJsonSchemaTool);\n",
     "\n",
-    "const response4 = await chain4.invoke({\n",
+    "const responseFromJsonSchema = await chainWithJsonSchema.invoke({\n",
     "  input: \"What is 2 + 2?\",\n",
     "});\n",
-    "console.log(response4);\n"
+    "console.log(responseFromJsonSchema);\n"
    ]
   },
   {
@@ -565,7 +570,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "id": "76bd0061",
    "metadata": {},
    "outputs": [
@@ -573,7 +578,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The weather in Paris is 28 °C.\n"
+      "It's 28 °C in Paris.\n"
      ]
     }
    ],
@@ -585,13 +590,13 @@
     "\n",
     "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
     "\n",
-    "const llm5 = new ChatMistralAI({\n",
+    "const llmForAgent = new ChatMistralAI({\n",
     "  temperature: 0,\n",
     "  model: \"mistral-large-latest\",\n",
     "});\n",
     "\n",
     "// Prompt template must have \"input\" and \"agent_scratchpad input variables\"\n",
-    "const prompt5 = ChatPromptTemplate.fromMessages([\n",
+    "const agentPrompt = ChatPromptTemplate.fromMessages([\n",
     "  [\"system\", \"You are a helpful assistant\"],\n",
     "  [\"placeholder\", \"{chat_history}\"],\n",
     "  [\"human\", \"{input}\"],\n",
@@ -599,7 +604,7 @@
     "]);\n",
     "\n",
     "// Mocked tool\n",
-    "const currentWeatherTool5 = tool(async () => \"28 °C\", {\n",
+    "const currentWeatherToolForAgent = tool(async () => \"28 °C\", {\n",
     "  name: \"get_current_weather\",\n",
     "  description: \"Get the current weather in a given location\",\n",
     "  schema: z.object({\n",
@@ -608,20 +613,20 @@
     "});\n",
     "\n",
     "const agent = createToolCallingAgent({\n",
-    "  llm: llm5,\n",
-    "  tools: [currentWeatherTool5],\n",
-    "  prompt: prompt5,\n",
+    "  llm: llmForAgent,\n",
+    "  tools: [currentWeatherToolForAgent],\n",
+    "  prompt: agentPrompt,\n",
     "});\n",
     "\n",
     "const agentExecutor = new AgentExecutor({\n",
     "  agent,\n",
-    "  tools: [currentWeatherTool5],\n",
+    "  tools: [currentWeatherToolForAgent],\n",
     "});\n",
     "\n",
-    "const input = \"What's the weather like in Paris?\";\n",
-    "const { output } = await agentExecutor.invoke({ input });\n",
+    "const agentInput = \"What's the weather like in Paris?\";\n",
+    "const agentRes = await agentExecutor.invoke({ input: agentInput });\n",
     "\n",
-    "console.log(output);\n"
+    "console.log(agentRes.output);\n"
    ]
   },
   {