fix: update documentation with latest models (#2068)

Author: priyansh4320

notebook/LlamaIndex_query_engine.ipynb

@@ -108,7 +108,7 @@
     "\n",
     "chroma_query_engine = LlamaIndexQueryEngine(\n",
     "    vector_store=chroma_vector_store,\n",
-    "    llm=OpenAI(model=\"gpt-4o\", temperature=0.0),  # Default model for querying, change if needed\n",
+    "    llm=OpenAI(model=\"gpt-4.1\", temperature=0.0),  # Default model for querying, change if needed\n",
     ")"
    ]
   },
@@ -262,7 +262,7 @@
    "source": [
     "pinecone_query_engine = LlamaIndexQueryEngine(\n",
     "    vector_store=pinecone_vector_store,\n",
-    "    llm=OpenAI(model=\"gpt-4o\", temperature=0.0),  # Default model for querying, change if needed\n",
+    "    llm=OpenAI(model=\"gpt-4.1\", temperature=0.0),  # Default model for querying, change if needed\n",
     ")"
    ]
   },

notebook/agent_tools_run_examples.ipynb

@@ -28,7 +28,7 @@
     "from autogen.tools import tool\n",
     "\n",
     "# Load LLM configuration\n",
-    "llm_config = autogen.LLMConfig.from_json(path=\"OAI_CONFIG_LIST\", cache_seed=42).where(model=[\"gpt-4o-mini\"])"
+    "llm_config = autogen.LLMConfig.from_json(path=\"OAI_CONFIG_LIST\", cache_seed=42).where(model=[\"gpt-5-nano\"])"
    ]
   },
   {

notebook/agentchat_RetrieveChat_couchbase.ipynb

@@ -87,7 +87,7 @@
     "# a vector database instance\n",
     "from autogen.retrieve_utils import TEXT_FORMATS\n",
     "\n",
-    "config_list = [{\"model\": \"gpt-4o-mini\", \"api_key\": os.environ[\"OPENAI_API_KEY\"], \"api_type\": \"openai\"}]\n",
+    "config_list = [{\"model\": \"gpt-5-nano\", \"api_key\": os.environ[\"OPENAI_API_KEY\"], \"api_type\": \"openai\"}]\n",
     "assert len(config_list) > 0\n",
     "print(\"models to use: \", [config_list[i][\"model\"] for i in range(len(config_list))])"
    ]

notebook/agentchat_assistant_agent_standalone.ipynb

@@ -75,7 +75,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "llm_config = autogen.LLMConfig.from_json(path=\"OAI_CONFIG_LIST\", temperature=0.8, timeout=600).where(tags=\"gpt-4o-mini\")"
+    "llm_config = autogen.LLMConfig.from_json(path=\"OAI_CONFIG_LIST\", temperature=0.8, timeout=600).where(tags=\"gpt-5-nano\")"
    ]
   },
   {

notebook/agentchat_captainagent.ipynb

@@ -41,7 +41,7 @@
     "```python\n",
     "config_list = [\n",
     "    {\n",
-    "        'model': 'gpt-4o-mini',\n",
+    "        'model': 'gpt-5-nano',\n",
     "        'api_key': '<your OpenAI API key here>',\n",
     "    },\n",
     "    {\n",
@@ -78,15 +78,15 @@
     "\n",
     "config_path = \"OAI_CONFIG_LIST\"\n",
     "# You can modify the filter_dict to select your model\n",
-    "llm_config = autogen.LLMConfig.from_json(path=config_path).where(model=\"gpt-4o\")"
+    "llm_config = autogen.LLMConfig.from_json(path=config_path).where(model=\"gpt-5\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Using CaptainAgent without libraries\n",
-    "We begin with demonstrating how to use CaptainAgent without retrieving from libraries. In this case, CaptainAgent will automatically generate a set of experts according to its identified subtask and initiate the group chat. By default, the backbone of the LLM is set to `gpt-4o`. For instructions on configuring the backbone, refer to docs on [`nested_mode`](https://docs.ag2.ai/latest/docs/user-guide/reference-agents/captainagent)."
+    "We begin with demonstrating how to use CaptainAgent without retrieving from libraries. In this case, CaptainAgent will automatically generate a set of experts according to its identified subtask and initiate the group chat. By default, the backbone of the LLM is set to `gpt-5`. For instructions on configuring the backbone, refer to docs on [`nested_mode`](https://docs.ag2.ai/latest/docs/user-guide/reference-agents/captainagent)."
    ]
   },
   {

notebook/agentchat_captainagent_crosstool.ipynb

@@ -72,7 +72,7 @@
     "import autogen\n",
     "\n",
     "config_path = \"OAI_CONFIG_LIST\"\n",
-    "llm_config = autogen.LLMConfig.from_json(path=config_path, temperature=0).where(model=\"gpt-4o\")"
+    "llm_config = autogen.LLMConfig.from_json(path=config_path, temperature=0).where(model=\"gpt-5\")"
    ]
   },
   {

notebook/agentchat_cost_token_tracking.ipynb

@@ -66,7 +66,7 @@
     "from autogen import AssistantAgent, LLMConfig, OpenAIWrapper, UserProxyAgent, gather_usage_summary\n",
     "\n",
     "filter_dict = {\n",
-    "    \"tags\": [\"gpt-4o\", \"gpt-4o-mini\"],  # comment out to get all\n",
+    "    \"tags\": [\"gpt-5\", \"gpt-5-nano\"],  # comment out to get all\n",
     "}\n",
     "\n",
     "config_list = autogen.config_list_from_json(\n",
@@ -85,17 +85,17 @@
     "```python\n",
     "config_list = [\n",
     "    {\n",
-    "        \"model\": \"gpt-4o\",\n",
+    "        \"model\": \"gpt-5\",\n",
     "        \"api_key\": \"<your OpenAI API key>\",\n",
-    "        \"tags\": [\"gpt-4o\"],\n",
-    "    },  # OpenAI API endpoint for gpt-4o\n",
+    "        \"tags\": [\"gpt-5\"],\n",
+    "    },  # OpenAI API endpoint for gpt-5\n",
     "    {\n",
-    "        \"model\": \"gpt-4o-mini\",\n",
+    "        \"model\": \"gpt-5-nano\",\n",
     "        \"base_url\": \"<your Azure OpenAI API base>\", \n",
     "        \"api_type\": \"azure\", \n",
     "        \"api_version\": \"2024-07-18\",\n",
     "        \"api_key\": \"<your Azure OpenAI API key>\",\n",
-    "        \"tags\": [\"gpt-4o-mini\", \"20240718\"],\n",
+    "        \"tags\": [\"gpt-5-nano\", \"20240718\"],\n",
     "    }\n",
     "]\n",
     "```\n",

notebook/agentchat_function_call_currency_converter_tool_api.ipynb

@@ -107,7 +107,7 @@
     "llm_config = autogen.LLMConfig(\n",
     "    config_list=[\n",
     "        {\n",
-    "            \"model\": \"gpt-4o\",\n",
+    "            \"model\": \"gpt-4.1\",\n",
     "            \"api_type\": \"azure\",\n",
     "            \"api_key\": os.getenv(\"AZURE_OPENAI_API_KEY\"),\n",
     "            \"base_url\": os.getenv(\"BASE_URL\"),\n",

notebook/agentchat_graph_rag_neo4j.ipynb

@@ -86,7 +86,7 @@
     "\n",
     "> **Important**  \n",
     "> - **Default Models**:\n",
-    ">   - **Question Answering**: OpenAI's `GPT-4o` with `temperature=0.0`.\n",
+    ">   - **Question Answering**: OpenAI's `gpt-4.1` with `temperature=0.0`.\n",
     ">   - **Embedding**: OpenAI's `text-embedding-3-small`.\n",
     "> \n",
     "> - **Customization**:\n",
@@ -167,7 +167,7 @@
     "    password=\"password\",  # Change if you reset password\n",
     "    host=\"bolt://172.17.0.3\",  # Change\n",
     "    port=7687,  # if needed\n",
-    "    llm=OpenAI(model=\"gpt-4o\", temperature=0.0),  # Default, no need to specify\n",
+    "    llm=OpenAI(model=\"gpt-4.1\", temperature=0.0),  # Default, no need to specify\n",
     "    embedding=OpenAIEmbedding(model_name=\"text-embedding-3-small\"),  # except you want to use a different model\n",
     "    database=\"neo4j\",  # Change if you want to store the graphh in your custom database\n",
     ")\n",
@@ -199,7 +199,7 @@
     "    password=\"password\",  # Change if you reset password\n",
     "    host=\"bolt://172.17.0.3\",  # Change\n",
     "    port=7687,  # if needed\n",
-    "    llm=OpenAI(model=\"gpt-4o\", temperature=0.0),  # Default, no need to specify\n",
+    "    llm=OpenAI(model=\"gpt-4.1\", temperature=0.0),  # Default, no need to specify\n",
     "    embedding=OpenAIEmbedding(model_name=\"text-embedding-3-small\"),  # except you want to use a different model\n",
     "    database=\"neo4j\",  # Change if you want to store the graphh in your custom database\n",
     ")\n",
@@ -320,7 +320,7 @@
     "    host=\"bolt://192.168.0.115\",\n",
     "    port=7687,\n",
     "    database=\"neo4j\",\n",
-    "    llm=OpenAI(model=\"gpt-4o\", temperature=0.0),\n",
+    "    llm=OpenAI(model=\"gpt-4.1\", temperature=0.0),\n",
     "    embedding=OpenAIEmbedding(model_name=\"text-embedding-3-small\"),\n",
     "    entities=entities,  # possible entities\n",
     "    relations=relations,  # possible relations\n",

notebook/agentchat_graph_rag_neo4j_native.ipynb

@@ -78,8 +78,8 @@
     "\n",
     "**Important**  \n",
     "- **Default Models**:\n",
-    "    - **Knowledge Graph Construction** OpenAI's `GPT-4o` with `json_object` output `temperature=0.0`.\n",
-    "    - **Question Answering**: OpenAI's `GPT-4o` with `temperature=0.0`.\n",
+    "    - **Knowledge Graph Construction** OpenAI's `gpt-5` with `json_object` output `temperature=0.0`.\n",
+    "    - **Question Answering**: OpenAI's `gpt-5` with `temperature=0.0`.\n",
     "    - **Embedding**: OpenAI's `text-embedding-3-large`. You need to provide its dimension for the query engine later.\n",
     "\n",
     "- **Customization**:\n",
@@ -102,15 +102,15 @@
     "from neo4j_graphrag.llm.openai_llm import OpenAILLM\n",
     "\n",
     "llm = OpenAILLM(\n",
-    "    model_name=\"gpt-4o\",\n",
+    "    model_name=\"gpt-5\",\n",
     "    model_params={\n",
     "        \"response_format\": {\"type\": \"json_object\"},  # Json format response is required for the LLM\n",
     "        \"temperature\": 0,\n",
     "    },\n",
     ")\n",
     "\n",
     "query_llm = OpenAILLM(\n",
-    "    model_name=\"gpt-4o\",\n",
+    "    model_name=\"gpt-5\",\n",
     "    model_params={\"temperature\": 0},  # Don't use json format response for the query LLM\n",
     ")\n",
     "\n",