patch(openai): 0.5.18 (#8460)

Author: dqbd

cookbook/rag_fusion.ipynb

@@ -101,7 +101,6 @@
    "source": [
     "/** Define the chat model */\n",
     "const model = new ChatOpenAI({\n",
-    "  modelName: \"o4-mini\",\n",
     "  temperature: 0,\n",
     "});"
    ]

cookbook/rewrite.ipynb

@@ -58,9 +58,8 @@
     "const prompt = PromptTemplate.fromTemplate(template);\n",
     "\n",
     "const model = new ChatOpenAI({\n",
-    "  model: \"o4-mini\",\n",
     "  temperature: 0,\n",
-    "  apiKey: Deno.env.get(\"OPENAI_API_KEY\"),\n",
+    "  openAIApiKey: Deno.env.get(\"OPENAI_API_KEY\"),\n",
     "})\n",
     "\n",
     "const retriever = new TavilySearchAPIRetriever({\n",
@@ -235,7 +234,7 @@
     "// rewriter = rewrite_prompt | ChatOpenAI(temperature=0) | StrOutputParser() | _parse\n",
     "const rewriter = RunnableSequence.from([\n",
     "  rewritePrompt,\n",
-    "  new ChatOpenAI({ model: \"o4-mini\", temperature: 0 }),\n",
+    "  new ChatOpenAI({ temperature: 0 }),\n",
     "  new StringOutputParser(),\n",
     "  _parse\n",
     "]);"

cookbook/step_back.ipynb

@@ -123,7 +123,7 @@
    "source": [
     "// Deno.env.set(\"OPENAI_API_KEY\", \"\");\n",
     "\n",
-    "const model = new ChatOpenAI({ model: \"o4-mini\", temperature: 0 });\n",
+    "const model = new ChatOpenAI({ temperature: 0 });\n",
     "const stringOutputParser = new StringOutputParser();"
    ]
   },

docs/core_docs/docs/concepts/rag.mdx

@@ -79,7 +79,7 @@ const systemPromptFmt = systemPrompt.replace("{context}", docsText);
 
 // Create a model
 const model = new ChatOpenAI({
-  model: "gpt-4o-mini",
+  model: "gpt-4o",
   temperature: 0,
 });
 

docs/core_docs/docs/concepts/retrieval.mdx

@@ -85,7 +85,7 @@ const Questions = z.object({
 });
 
 // Create an instance of the model and enforce the output structure
-const model = new ChatOpenAI({ model: "gpt-4o-mini", temperature: 0 });
+const model = new ChatOpenAI({ modelName: "gpt-4", temperature: 0 });
 const structuredModel = model.withStructuredOutput(Questions);
 
 // Define the system prompt
@@ -142,7 +142,7 @@ import { ChatOpenAI } from "@langchain/openai";
 
 const attributeInfo: AttributeInfo[] = schemaForMetadata;
 const documentContents = "Brief summary of a movie";
-const llm = new ChatOpenAI({ model: "gpt-4o-mini", temperature: 0 });
+const llm = new ChatOpenAI({ temperature: 0 });
 const retriever = SelfQueryRetriever.fromLLM({
   llm,
   vectorStore,

docs/core_docs/docs/concepts/structured_outputs.mdx

@@ -86,7 +86,7 @@ Here is an example using the `ResponseFormatter` schema defined above:
 import { ChatOpenAI } from "@langchain/openai";
 
 const model = new ChatOpenAI({
-  model: "gpt-4o-mini",
+  modelName: "gpt-4",
   temperature: 0,
 });
 
@@ -116,7 +116,7 @@ Here is an example of how to use JSON mode with OpenAI:
 import { ChatOpenAI } from "@langchain/openai";
 
 const model = new ChatOpenAI({
-  model: "gpt-4o-mini",
+  model: "gpt-4",
 }).bind({
   response_format: { type: "json_object" },
 });

docs/core_docs/docs/how_to/agent_executor.ipynb

@@ -956,4 +956,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 5
-}
+}

docs/core_docs/docs/how_to/assign.ipynb

@@ -191,4 +191,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 4
-}
+}

docs/core_docs/docs/how_to/binding.ipynb

@@ -81,7 +81,7 @@
         "    ]\n",
         ")\n",
         "\n",
-        "const model = new ChatOpenAI({ model: \"gpt-4o\", temperature: 0 });\n",
+        "const model = new ChatOpenAI({ temperature: 0 });\n",
         "\n",
         "const runnable = prompt.pipe(model).pipe(new StringOutputParser());\n",
         "\n",

docs/core_docs/docs/how_to/chatbots_tools.ipynb

@@ -508,4 +508,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 4
-}
+}