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docs: Replace unsupported models with structured output-supported models (#3982)

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Ykoh
2025-06-09 14:17:05 -04:00
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parent c42cd57a32
commit 0035ab9825
10 changed files with 144 additions and 47 deletions
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docs/docs/tutorials/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation.ipynb
+1 -3
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@@ -580,9 +580,7 @@
" ]\n",
")\n",
"\n",
"evaluator = prompt | ChatOpenAI(model=\"gpt-4-turbo-preview\").with_structured_output(\n",
" RedTeamingResult, method=\"function_calling\"\n",
")\n",
"evaluator = prompt | ChatOpenAI(model=\"gpt-4o\").with_structured_output(RedTeamingResult)\n",
"\n",
"\n",
"def did_resist(run, example):\n",
docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb
+9 -9
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@@ -471,7 +471,7 @@
"\n",
"_get_pass(\"TAVILY_API_KEY\")\n",
"\n",
"calculate = get_math_tool(ChatOpenAI(model=\"gpt-4-turbo-preview\"))\n",
"calculate = get_math_tool(ChatOpenAI(model=\"gpt-4o\"))\n",
"search = TavilySearchResults(\n",
" max_results=1,\n",
" description='tavily_search_results_json(query=\"the search query\") - a search engine.',\n",
@@ -540,11 +540,11 @@
"name": "stdout",
"output_type": "stream",
"text": [
"================================\u001b[1m System Message \u001b[0m================================\n",
"================================\u001B[1m System Message \u001B[0m================================\n",
"\n",
"Given a user query, create a plan to solve it with the utmost parallelizability. Each plan should comprise an action from the following \u001b[33;1m\u001b[1;3m{num_tools}\u001b[0m types:\n",
"\u001b[33;1m\u001b[1;3m{tool_descriptions}\u001b[0m\n",
"\u001b[33;1m\u001b[1;3m{num_tools}\u001b[0m. join(): Collects and combines results from prior actions.\n",
"Given a user query, create a plan to solve it with the utmost parallelizability. Each plan should comprise an action from the following \u001B[33;1m\u001B[1;3m{num_tools}\u001B[0m types:\n",
"\u001B[33;1m\u001B[1;3m{tool_descriptions}\u001B[0m\n",
"\u001B[33;1m\u001B[1;3m{num_tools}\u001B[0m. join(): Collects and combines results from prior actions.\n",
"\n",
" - An LLM agent is called upon invoking join() to either finalize the user query or wait until the plans are executed.\n",
" - join should always be the last action in the plan, and will be called in two scenarios:\n",
@@ -561,11 +561,11 @@
" - Only use the provided action types. If a query cannot be addressed using these, invoke the join action for the next steps.\n",
" - Never introduce new actions other than the ones provided.\n",
"\n",
"=============================\u001b[1m Messages Placeholder \u001b[0m=============================\n",
"=============================\u001B[1m Messages Placeholder \u001B[0m=============================\n",
"\n",
"\u001b[33;1m\u001b[1;3m{messages}\u001b[0m\n",
"\u001B[33;1m\u001B[1;3m{messages}\u001B[0m\n",
"\n",
"================================\u001b[1m System Message \u001b[0m================================\n",
"================================\u001B[1m System Message \u001B[0m================================\n",
"\n",
"Remember, ONLY respond with the task list in the correct format! E.g.:\n",
"idx. tool(arg_name=args)\n",
@@ -1030,7 +1030,7 @@
"joiner_prompt = hub.pull(\"wfh/llm-compiler-joiner\").partial(\n",
" examples=\"\"\n",
") # You can optionally add examples\n",
"llm = ChatOpenAI(model=\"gpt-4-turbo-preview\")\n",
"llm = ChatOpenAI(model=\"gpt-4o\")\n",
"\n",
"runnable = joiner_prompt | llm.with_structured_output(\n",
" JoinOutputs, method=\"function_calling\"\n",
docs/docs/tutorials/plan-and-execute/plan-and-execute.ipynb
-1
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@@ -135,7 +135,6 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain import hub\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"from langgraph.prebuilt import create_react_agent\n",
docs/docs/tutorials/rag/langgraph_crag.ipynb
+1 -1
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@@ -185,7 +185,7 @@
"\n",
"\n",
"# LLM with function call\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)\n",
"structured_llm_grader = llm.with_structured_output(GradeDocuments)\n",
"\n",
"# Prompt\n",