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docs: replace gpt-3.5-turbo-0125 and -1106 with gpt-4o-mini (#26292)

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Bagatur
2024-09-10 16:23:05 -07:00
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parent 89c6cb6f8b
commit a56812f970
40 changed files with 68 additions and 68 deletions
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4
docs/docs/how_to/binding.ipynb
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@@ -183,7 +183,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_z0OU2CytqENVrRTI6T8DkI3u', 'function': {'arguments': '{\"location\": \"San Francisco, CA\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}, {'id': 'call_ft96IJBh0cMKkQWrZjNg4bsw', 'function': {'arguments': '{\"location\": \"New York, NY\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}, {'id': 'call_tfbtGgCLmuBuWgZLvpPwvUMH', 'function': {'arguments': '{\"location\": \"Los Angeles, CA\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 84, 'prompt_tokens': 85, 'total_tokens': 169}, 'model_name': 'gpt-3.5-turbo-1106', 'system_fingerprint': 'fp_77a673219d', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-d57ad5fa-b52a-4822-bc3e-74f838697e18-0', tool_calls=[{'name': 'get_current_weather', 'args': {'location': 'San Francisco, CA', 'unit': 'celsius'}, 'id': 'call_z0OU2CytqENVrRTI6T8DkI3u'}, {'name': 'get_current_weather', 'args': {'location': 'New York, NY', 'unit': 'celsius'}, 'id': 'call_ft96IJBh0cMKkQWrZjNg4bsw'}, {'name': 'get_current_weather', 'args': {'location': 'Los Angeles, CA', 'unit': 'celsius'}, 'id': 'call_tfbtGgCLmuBuWgZLvpPwvUMH'}])"
"AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_z0OU2CytqENVrRTI6T8DkI3u', 'function': {'arguments': '{\"location\": \"San Francisco, CA\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}, {'id': 'call_ft96IJBh0cMKkQWrZjNg4bsw', 'function': {'arguments': '{\"location\": \"New York, NY\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}, {'id': 'call_tfbtGgCLmuBuWgZLvpPwvUMH', 'function': {'arguments': '{\"location\": \"Los Angeles, CA\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 84, 'prompt_tokens': 85, 'total_tokens': 169}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': 'fp_77a673219d', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-d57ad5fa-b52a-4822-bc3e-74f838697e18-0', tool_calls=[{'name': 'get_current_weather', 'args': {'location': 'San Francisco, CA', 'unit': 'celsius'}, 'id': 'call_z0OU2CytqENVrRTI6T8DkI3u'}, {'name': 'get_current_weather', 'args': {'location': 'New York, NY', 'unit': 'celsius'}, 'id': 'call_ft96IJBh0cMKkQWrZjNg4bsw'}, {'name': 'get_current_weather', 'args': {'location': 'Los Angeles, CA', 'unit': 'celsius'}, 'id': 'call_tfbtGgCLmuBuWgZLvpPwvUMH'}])"
]
},
"execution_count": 5,
@@ -192,7 +192,7 @@
}
],
"source": [
"model = ChatOpenAI(model=\"gpt-3.5-turbo-1106\").bind(tools=tools)\n",
"model = ChatOpenAI(model=\"gpt-4o-mini\").bind(tools=tools)\n",
"model.invoke(\"What's the weather in SF, NYC and LA?\")"
]
},

12
docs/docs/how_to/chat_token_usage_tracking.ipynb
View File

@@ -71,7 +71,7 @@
"\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\")\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\")\n",
"openai_response = llm.invoke(\"hello\")\n",
"openai_response.usage_metadata"
]
@@ -182,13 +182,13 @@
"content=' you' id='run-adb20c31-60c7-43a2-99b2-d4a53ca5f623'\n",
"content=' today' id='run-adb20c31-60c7-43a2-99b2-d4a53ca5f623'\n",
"content='?' id='run-adb20c31-60c7-43a2-99b2-d4a53ca5f623'\n",
"content='' response_metadata={'finish_reason': 'stop', 'model_name': 'gpt-3.5-turbo-0125'} id='run-adb20c31-60c7-43a2-99b2-d4a53ca5f623'\n",
"content='' response_metadata={'finish_reason': 'stop', 'model_name': 'gpt-4o-mini'} id='run-adb20c31-60c7-43a2-99b2-d4a53ca5f623'\n",
"content='' id='run-adb20c31-60c7-43a2-99b2-d4a53ca5f623' usage_metadata={'input_tokens': 8, 'output_tokens': 9, 'total_tokens': 17}\n"
]
}
],
"source": [
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\")\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\")\n",
"\n",
"aggregate = None\n",
"for chunk in llm.stream(\"hello\", stream_usage=True):\n",
@@ -252,7 +252,7 @@
"content=' you' id='run-8e758550-94b0-4cca-a298-57482793c25d'\n",
"content=' today' id='run-8e758550-94b0-4cca-a298-57482793c25d'\n",
"content='?' id='run-8e758550-94b0-4cca-a298-57482793c25d'\n",
"content='' response_metadata={'finish_reason': 'stop', 'model_name': 'gpt-3.5-turbo-0125'} id='run-8e758550-94b0-4cca-a298-57482793c25d'\n"
"content='' response_metadata={'finish_reason': 'stop', 'model_name': 'gpt-4o-mini'} id='run-8e758550-94b0-4cca-a298-57482793c25d'\n"
]
}
],
@@ -300,7 +300,7 @@
"\n",
"\n",
"llm = ChatOpenAI(\n",
" model=\"gpt-3.5-turbo-0125\",\n",
" model=\"gpt-4o-mini\",\n",
" stream_usage=True,\n",
")\n",
"# Under the hood, .with_structured_output binds tools to the\n",
@@ -362,7 +362,7 @@
"from langchain_community.callbacks.manager import get_openai_callback\n",
"\n",
"llm = ChatOpenAI(\n",
" model=\"gpt-3.5-turbo-0125\",\n",
" model=\"gpt-4o-mini\",\n",
" temperature=0,\n",
" stream_usage=True,\n",
")\n",

18
docs/docs/how_to/chatbots_memory.ipynb
View File

@@ -77,7 +77,7 @@
"source": [
"from langchain_openai import ChatOpenAI\n",
"\n",
"chat = ChatOpenAI(model=\"gpt-3.5-turbo-0125\")"
"chat = ChatOpenAI(model=\"gpt-4o-mini\")"
]
},
{
@@ -191,7 +191,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='You just asked me to translate the sentence \"I love programming\" from English to French.', response_metadata={'token_usage': {'completion_tokens': 18, 'prompt_tokens': 61, 'total_tokens': 79}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5cbb21c2-9c30-4031-8ea8-bfc497989535-0', usage_metadata={'input_tokens': 61, 'output_tokens': 18, 'total_tokens': 79})"
"AIMessage(content='You just asked me to translate the sentence \"I love programming\" from English to French.', response_metadata={'token_usage': {'completion_tokens': 18, 'prompt_tokens': 61, 'total_tokens': 79}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5cbb21c2-9c30-4031-8ea8-bfc497989535-0', usage_metadata={'input_tokens': 61, 'output_tokens': 18, 'total_tokens': 79})"
]
},
"execution_count": 5,
@@ -312,7 +312,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='\"J\\'adore la programmation.\"', response_metadata={'token_usage': {'completion_tokens': 9, 'prompt_tokens': 39, 'total_tokens': 48}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-648b0822-b0bb-47a2-8e7d-7d34744be8f2-0', usage_metadata={'input_tokens': 39, 'output_tokens': 9, 'total_tokens': 48})"
"AIMessage(content='\"J\\'adore la programmation.\"', response_metadata={'token_usage': {'completion_tokens': 9, 'prompt_tokens': 39, 'total_tokens': 48}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-648b0822-b0bb-47a2-8e7d-7d34744be8f2-0', usage_metadata={'input_tokens': 39, 'output_tokens': 9, 'total_tokens': 48})"
]
},
"execution_count": 8,
@@ -342,7 +342,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='You asked me to translate the sentence \"I love programming\" from English to French.', response_metadata={'token_usage': {'completion_tokens': 17, 'prompt_tokens': 63, 'total_tokens': 80}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5950435c-1dc2-43a6-836f-f989fd62c95e-0', usage_metadata={'input_tokens': 63, 'output_tokens': 17, 'total_tokens': 80})"
"AIMessage(content='You asked me to translate the sentence \"I love programming\" from English to French.', response_metadata={'token_usage': {'completion_tokens': 17, 'prompt_tokens': 63, 'total_tokens': 80}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5950435c-1dc2-43a6-836f-f989fd62c95e-0', usage_metadata={'input_tokens': 63, 'output_tokens': 17, 'total_tokens': 80})"
]
},
"execution_count": 9,
@@ -421,7 +421,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='Your name is Nemo.', response_metadata={'token_usage': {'completion_tokens': 6, 'prompt_tokens': 66, 'total_tokens': 72}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-f8aabef8-631a-4238-a39b-701e881fbe47-0', usage_metadata={'input_tokens': 66, 'output_tokens': 6, 'total_tokens': 72})"
"AIMessage(content='Your name is Nemo.', response_metadata={'token_usage': {'completion_tokens': 6, 'prompt_tokens': 66, 'total_tokens': 72}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-f8aabef8-631a-4238-a39b-701e881fbe47-0', usage_metadata={'input_tokens': 66, 'output_tokens': 6, 'total_tokens': 72})"
]
},
"execution_count": 22,
@@ -501,7 +501,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='P. Sherman is a fictional character from the animated movie \"Finding Nemo\" who lives at 42 Wallaby Way, Sydney.', response_metadata={'token_usage': {'completion_tokens': 27, 'prompt_tokens': 53, 'total_tokens': 80}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5642ef3a-fdbe-43cf-a575-d1785976a1b9-0', usage_metadata={'input_tokens': 53, 'output_tokens': 27, 'total_tokens': 80})"
"AIMessage(content='P. Sherman is a fictional character from the animated movie \"Finding Nemo\" who lives at 42 Wallaby Way, Sydney.', response_metadata={'token_usage': {'completion_tokens': 27, 'prompt_tokens': 53, 'total_tokens': 80}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5642ef3a-fdbe-43cf-a575-d1785976a1b9-0', usage_metadata={'input_tokens': 53, 'output_tokens': 27, 'total_tokens': 80})"
]
},
"execution_count": 24,
@@ -529,9 +529,9 @@
" HumanMessage(content='How are you today?'),\n",
" AIMessage(content='Fine thanks!'),\n",
" HumanMessage(content=\"What's my name?\"),\n",
" AIMessage(content='Your name is Nemo.', response_metadata={'token_usage': {'completion_tokens': 6, 'prompt_tokens': 66, 'total_tokens': 72}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-f8aabef8-631a-4238-a39b-701e881fbe47-0', usage_metadata={'input_tokens': 66, 'output_tokens': 6, 'total_tokens': 72}),\n",
" AIMessage(content='Your name is Nemo.', response_metadata={'token_usage': {'completion_tokens': 6, 'prompt_tokens': 66, 'total_tokens': 72}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-f8aabef8-631a-4238-a39b-701e881fbe47-0', usage_metadata={'input_tokens': 66, 'output_tokens': 6, 'total_tokens': 72}),\n",
" HumanMessage(content='Where does P. Sherman live?'),\n",
" AIMessage(content='P. Sherman is a fictional character from the animated movie \"Finding Nemo\" who lives at 42 Wallaby Way, Sydney.', response_metadata={'token_usage': {'completion_tokens': 27, 'prompt_tokens': 53, 'total_tokens': 80}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5642ef3a-fdbe-43cf-a575-d1785976a1b9-0', usage_metadata={'input_tokens': 53, 'output_tokens': 27, 'total_tokens': 80})]"
" AIMessage(content='P. Sherman is a fictional character from the animated movie \"Finding Nemo\" who lives at 42 Wallaby Way, Sydney.', response_metadata={'token_usage': {'completion_tokens': 27, 'prompt_tokens': 53, 'total_tokens': 80}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5642ef3a-fdbe-43cf-a575-d1785976a1b9-0', usage_metadata={'input_tokens': 53, 'output_tokens': 27, 'total_tokens': 80})]"
]
},
"execution_count": 25,
@@ -565,7 +565,7 @@
{
"data": {
"text/plain": [
"AIMessage(content=\"I'm sorry, but I don't have access to your personal information, so I don't know your name. How else may I assist you today?\", response_metadata={'token_usage': {'completion_tokens': 31, 'prompt_tokens': 74, 'total_tokens': 105}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-0ab03495-1f7c-4151-9070-56d2d1c565ff-0', usage_metadata={'input_tokens': 74, 'output_tokens': 31, 'total_tokens': 105})"
"AIMessage(content=\"I'm sorry, but I don't have access to your personal information, so I don't know your name. How else may I assist you today?\", response_metadata={'token_usage': {'completion_tokens': 31, 'prompt_tokens': 74, 'total_tokens': 105}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-0ab03495-1f7c-4151-9070-56d2d1c565ff-0', usage_metadata={'input_tokens': 74, 'output_tokens': 31, 'total_tokens': 105})"
]
},
"execution_count": 27,

2
docs/docs/how_to/chatbots_retrieval.ipynb
View File

@@ -71,7 +71,7 @@
"source": [
"from langchain_openai import ChatOpenAI\n",
"\n",
"chat = ChatOpenAI(model=\"gpt-3.5-turbo-1106\", temperature=0.2)"
"chat = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0.2)"
]
},
{

2
docs/docs/how_to/chatbots_tools.ipynb
View File

@@ -70,7 +70,7 @@
"\n",
"# Choose the LLM that will drive the agent\n",
"# Only certain models support this\n",
"chat = ChatOpenAI(model=\"gpt-3.5-turbo-1106\", temperature=0)"
"chat = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{

2
docs/docs/how_to/contextual_compression.ipynb
View File

@@ -258,7 +258,7 @@
"from langchain.retrievers.document_compressors import LLMListwiseRerank\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)\n",
"\n",
"_filter = LLMListwiseRerank.from_llm(llm, top_n=1)\n",
"compression_retriever = ContextualCompressionRetriever(\n",

10
docs/docs/how_to/convert_runnable_to_tool.ipynb
View File

@@ -285,7 +285,7 @@
"\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{
@@ -362,11 +362,11 @@
"name": "stdout",
"output_type": "stream",
"text": [
"{'agent': {'messages': [AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_W8cnfOjwqEn4cFcg19LN9mYD', 'function': {'arguments': '{\"__arg1\":\"dogs\"}', 'name': 'pet_info_retriever'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 19, 'prompt_tokens': 60, 'total_tokens': 79}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-d7f81de9-1fb7-4caf-81ed-16dcdb0b2ab4-0', tool_calls=[{'name': 'pet_info_retriever', 'args': {'__arg1': 'dogs'}, 'id': 'call_W8cnfOjwqEn4cFcg19LN9mYD'}], usage_metadata={'input_tokens': 60, 'output_tokens': 19, 'total_tokens': 79})]}}\n",
"{'agent': {'messages': [AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_W8cnfOjwqEn4cFcg19LN9mYD', 'function': {'arguments': '{\"__arg1\":\"dogs\"}', 'name': 'pet_info_retriever'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 19, 'prompt_tokens': 60, 'total_tokens': 79}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-d7f81de9-1fb7-4caf-81ed-16dcdb0b2ab4-0', tool_calls=[{'name': 'pet_info_retriever', 'args': {'__arg1': 'dogs'}, 'id': 'call_W8cnfOjwqEn4cFcg19LN9mYD'}], usage_metadata={'input_tokens': 60, 'output_tokens': 19, 'total_tokens': 79})]}}\n",
"----\n",
"{'tools': {'messages': [ToolMessage(content=\"[Document(id='86f835fe-4bbe-4ec6-aeb4-489a8b541707', page_content='Dogs are great companions, known for their loyalty and friendliness.')]\", name='pet_info_retriever', tool_call_id='call_W8cnfOjwqEn4cFcg19LN9mYD')]}}\n",
"----\n",
"{'agent': {'messages': [AIMessage(content='Dogs are known for being great companions, known for their loyalty and friendliness.', response_metadata={'token_usage': {'completion_tokens': 18, 'prompt_tokens': 134, 'total_tokens': 152}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-9ca5847a-a5eb-44c0-a774-84cc2c5bbc5b-0', usage_metadata={'input_tokens': 134, 'output_tokens': 18, 'total_tokens': 152})]}}\n",
"{'agent': {'messages': [AIMessage(content='Dogs are known for being great companions, known for their loyalty and friendliness.', response_metadata={'token_usage': {'completion_tokens': 18, 'prompt_tokens': 134, 'total_tokens': 152}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-9ca5847a-a5eb-44c0-a774-84cc2c5bbc5b-0', usage_metadata={'input_tokens': 134, 'output_tokens': 18, 'total_tokens': 152})]}}\n",
"----\n"
]
}
@@ -497,11 +497,11 @@
"name": "stdout",
"output_type": "stream",
"text": [
"{'agent': {'messages': [AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_17iLPWvOD23zqwd1QVQ00Y63', 'function': {'arguments': '{\"question\":\"What are dogs known for according to pirates?\",\"answer_style\":\"quote\"}', 'name': 'pet_expert'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 28, 'prompt_tokens': 59, 'total_tokens': 87}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-7fef44f3-7bba-4e63-8c51-2ad9c5e65e2e-0', tool_calls=[{'name': 'pet_expert', 'args': {'question': 'What are dogs known for according to pirates?', 'answer_style': 'quote'}, 'id': 'call_17iLPWvOD23zqwd1QVQ00Y63'}], usage_metadata={'input_tokens': 59, 'output_tokens': 28, 'total_tokens': 87})]}}\n",
"{'agent': {'messages': [AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_17iLPWvOD23zqwd1QVQ00Y63', 'function': {'arguments': '{\"question\":\"What are dogs known for according to pirates?\",\"answer_style\":\"quote\"}', 'name': 'pet_expert'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 28, 'prompt_tokens': 59, 'total_tokens': 87}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-7fef44f3-7bba-4e63-8c51-2ad9c5e65e2e-0', tool_calls=[{'name': 'pet_expert', 'args': {'question': 'What are dogs known for according to pirates?', 'answer_style': 'quote'}, 'id': 'call_17iLPWvOD23zqwd1QVQ00Y63'}], usage_metadata={'input_tokens': 59, 'output_tokens': 28, 'total_tokens': 87})]}}\n",
"----\n",
"{'tools': {'messages': [ToolMessage(content='\"Dogs are known for their loyalty and friendliness, making them great companions for pirates on long sea voyages.\"', name='pet_expert', tool_call_id='call_17iLPWvOD23zqwd1QVQ00Y63')]}}\n",
"----\n",
"{'agent': {'messages': [AIMessage(content='According to pirates, dogs are known for their loyalty and friendliness, making them great companions for pirates on long sea voyages.', response_metadata={'token_usage': {'completion_tokens': 27, 'prompt_tokens': 119, 'total_tokens': 146}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5a30edc3-7be0-4743-b980-ca2f8cad9b8d-0', usage_metadata={'input_tokens': 119, 'output_tokens': 27, 'total_tokens': 146})]}}\n",
"{'agent': {'messages': [AIMessage(content='According to pirates, dogs are known for their loyalty and friendliness, making them great companions for pirates on long sea voyages.', response_metadata={'token_usage': {'completion_tokens': 27, 'prompt_tokens': 119, 'total_tokens': 146}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5a30edc3-7be0-4743-b980-ca2f8cad9b8d-0', usage_metadata={'input_tokens': 119, 'output_tokens': 27, 'total_tokens': 146})]}}\n",
"----\n"
]
}

2
docs/docs/how_to/fallbacks.ipynb
View File

@@ -90,7 +90,7 @@
"outputs": [],
"source": [
"# Note that we set max_retries = 0 to avoid retrying on RateLimits, etc\n",
"openai_llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", max_retries=0)\n",
"openai_llm = ChatOpenAI(model=\"gpt-4o-mini\", max_retries=0)\n",
"anthropic_llm = ChatAnthropic(model=\"claude-3-haiku-20240307\")\n",
"llm = openai_llm.with_fallbacks([anthropic_llm])"
]

10
docs/docs/how_to/few_shot_examples_chat.ipynb
View File

@@ -86,7 +86,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='The expression \"2 🦜 9\" is not a standard mathematical operation or equation. It appears to be a combination of the number 2 and the parrot emoji 🦜 followed by the number 9. It does not have a specific mathematical meaning.', response_metadata={'token_usage': {'completion_tokens': 54, 'prompt_tokens': 17, 'total_tokens': 71}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-aad12dda-5c47-4a1e-9949-6fe94e03242a-0', usage_metadata={'input_tokens': 17, 'output_tokens': 54, 'total_tokens': 71})"
"AIMessage(content='The expression \"2 🦜 9\" is not a standard mathematical operation or equation. It appears to be a combination of the number 2 and the parrot emoji 🦜 followed by the number 9. It does not have a specific mathematical meaning.', response_metadata={'token_usage': {'completion_tokens': 54, 'prompt_tokens': 17, 'total_tokens': 71}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-aad12dda-5c47-4a1e-9949-6fe94e03242a-0', usage_metadata={'input_tokens': 17, 'output_tokens': 54, 'total_tokens': 71})"
]
},
"execution_count": 4,
@@ -97,7 +97,7 @@
"source": [
"from langchain_openai import ChatOpenAI\n",
"\n",
"model = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0.0)\n",
"model = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0.0)\n",
"\n",
"model.invoke(\"What is 2 🦜 9?\")"
]
@@ -212,7 +212,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='11', response_metadata={'token_usage': {'completion_tokens': 1, 'prompt_tokens': 60, 'total_tokens': 61}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5ec4e051-262f-408e-ad00-3f2ebeb561c3-0', usage_metadata={'input_tokens': 60, 'output_tokens': 1, 'total_tokens': 61})"
"AIMessage(content='11', response_metadata={'token_usage': {'completion_tokens': 1, 'prompt_tokens': 60, 'total_tokens': 61}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5ec4e051-262f-408e-ad00-3f2ebeb561c3-0', usage_metadata={'input_tokens': 60, 'output_tokens': 1, 'total_tokens': 61})"
]
},
"execution_count": 8,
@@ -418,7 +418,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='6', response_metadata={'token_usage': {'completion_tokens': 1, 'prompt_tokens': 60, 'total_tokens': 61}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-d1863e5e-17cd-4e9d-bf7a-b9f118747a65-0', usage_metadata={'input_tokens': 60, 'output_tokens': 1, 'total_tokens': 61})"
"AIMessage(content='6', response_metadata={'token_usage': {'completion_tokens': 1, 'prompt_tokens': 60, 'total_tokens': 61}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-d1863e5e-17cd-4e9d-bf7a-b9f118747a65-0', usage_metadata={'input_tokens': 60, 'output_tokens': 1, 'total_tokens': 61})"
]
},
"execution_count": 13,
@@ -427,7 +427,7 @@
}
],
"source": [
"chain = final_prompt | ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0.0)\n",
"chain = final_prompt | ChatOpenAI(model=\"gpt-4o-mini\", temperature=0.0)\n",
"\n",
"chain.invoke({\"input\": \"What's 3 🦜 3?\"})"
]

2
docs/docs/how_to/function_calling.ipynb
View File

@@ -191,7 +191,7 @@
"\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{

2
docs/docs/how_to/logprobs.ipynb
View File

@@ -94,7 +94,7 @@
"source": [
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\").bind(logprobs=True)\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\").bind(logprobs=True)\n",
"\n",
"msg = llm.invoke((\"human\", \"how are you today\"))\n",
"\n",

2
docs/docs/how_to/query_few_shot.ipynb
View File

@@ -143,7 +143,7 @@
" (\"human\", \"{question}\"),\n",
" ]\n",
")\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)\n",
"structured_llm = llm.with_structured_output(Search)\n",
"query_analyzer = {\"question\": RunnablePassthrough()} | prompt | structured_llm"
]

2
docs/docs/how_to/query_high_cardinality.ipynb
View File

@@ -201,7 +201,7 @@
" (\"human\", \"{question}\"),\n",
" ]\n",
")\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)\n",
"structured_llm = llm.with_structured_output(Search)\n",
"query_analyzer = {\"question\": RunnablePassthrough()} | prompt | structured_llm"
]

2
docs/docs/how_to/query_multiple_queries.ipynb
View File

@@ -159,7 +159,7 @@
" (\"human\", \"{question}\"),\n",
" ]\n",
")\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)\n",
"structured_llm = llm.with_structured_output(Search)\n",
"query_analyzer = {\"question\": RunnablePassthrough()} | prompt | structured_llm"
]

2
docs/docs/how_to/query_multiple_retrievers.ipynb
View File

@@ -154,7 +154,7 @@
" (\"human\", \"{question}\"),\n",
" ]\n",
")\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)\n",
"structured_llm = llm.with_structured_output(Search)\n",
"query_analyzer = {\"question\": RunnablePassthrough()} | prompt | structured_llm"
]

2
docs/docs/how_to/query_no_queries.ipynb
View File

@@ -149,7 +149,7 @@
" (\"human\", \"{question}\"),\n",
" ]\n",
")\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)\n",
"structured_llm = llm.bind_tools([Search])\n",
"query_analyzer = {\"question\": RunnablePassthrough()} | prompt | structured_llm"
]

2
docs/docs/how_to/serialization.ipynb
View File

@@ -44,7 +44,7 @@
" ],\n",
")\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", api_key=\"llm-api-key\")\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\", api_key=\"llm-api-key\")\n",
"\n",
"chain = prompt | llm"
]

2
docs/docs/how_to/tool_calling_parallel.ipynb
View File

@@ -59,7 +59,7 @@
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass()\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{

6
docs/docs/how_to/tool_choice.ipynb
View File

@@ -59,7 +59,7 @@
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass()\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{
@@ -77,7 +77,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_9cViskmLvPnHjXk9tbVla5HA', 'function': {'arguments': '{\"a\":2,\"b\":4}', 'name': 'Multiply'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 9, 'prompt_tokens': 103, 'total_tokens': 112}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-095b827e-2bdd-43bb-8897-c843f4504883-0', tool_calls=[{'name': 'Multiply', 'args': {'a': 2, 'b': 4}, 'id': 'call_9cViskmLvPnHjXk9tbVla5HA'}], usage_metadata={'input_tokens': 103, 'output_tokens': 9, 'total_tokens': 112})"
"AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_9cViskmLvPnHjXk9tbVla5HA', 'function': {'arguments': '{\"a\":2,\"b\":4}', 'name': 'Multiply'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 9, 'prompt_tokens': 103, 'total_tokens': 112}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-095b827e-2bdd-43bb-8897-c843f4504883-0', tool_calls=[{'name': 'Multiply', 'args': {'a': 2, 'b': 4}, 'id': 'call_9cViskmLvPnHjXk9tbVla5HA'}], usage_metadata={'input_tokens': 103, 'output_tokens': 9, 'total_tokens': 112})"
]
},
"metadata": {},
@@ -111,7 +111,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_mCSiJntCwHJUBfaHZVUB2D8W', 'function': {'arguments': '{\"a\":1,\"b\":2}', 'name': 'Add'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 15, 'prompt_tokens': 94, 'total_tokens': 109}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-28f75260-9900-4bed-8cd3-f1579abb65e5-0', tool_calls=[{'name': 'Add', 'args': {'a': 1, 'b': 2}, 'id': 'call_mCSiJntCwHJUBfaHZVUB2D8W'}], usage_metadata={'input_tokens': 94, 'output_tokens': 15, 'total_tokens': 109})"
"AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_mCSiJntCwHJUBfaHZVUB2D8W', 'function': {'arguments': '{\"a\":1,\"b\":2}', 'name': 'Add'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 15, 'prompt_tokens': 94, 'total_tokens': 109}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-28f75260-9900-4bed-8cd3-f1579abb65e5-0', tool_calls=[{'name': 'Add', 'args': {'a': 1, 'b': 2}, 'id': 'call_mCSiJntCwHJUBfaHZVUB2D8W'}], usage_metadata={'input_tokens': 94, 'output_tokens': 15, 'total_tokens': 109})"
]
},
"metadata": {},

2
docs/docs/how_to/tool_runtime.ipynb
View File

@@ -71,7 +71,7 @@
"if \"OPENAI_API_KEY\" not in os.environ:\n",
" os.environ[\"OPENAI_API_KEY\"] = getpass()\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{

2
docs/docs/how_to/tool_streaming.ipynb
View File

@@ -60,7 +60,7 @@
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass()\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)\n",
"llm_with_tools = llm.bind_tools(tools)"
]
},

2
docs/docs/how_to/tools_chain.ipynb
View File

@@ -166,7 +166,7 @@
"\n",
"from langchain_openai.chat_models import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{

2
docs/docs/how_to/tools_error.ipynb
View File

@@ -93,7 +93,7 @@
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass.getpass()\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{

2
docs/docs/how_to/tools_few_shot.ipynb
View File

@@ -48,7 +48,7 @@
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass()\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)\n",
"llm_with_tools = llm.bind_tools(tools)"
]
},

2
docs/docs/integrations/document_transformers/jina_rerank.ipynb
View File

@@ -214,7 +214,7 @@
"source": [
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)\n",
"combine_docs_chain = create_stuff_documents_chain(llm, retrieval_qa_chat_prompt)\n",
"chain = create_retrieval_chain(compression_retriever, combine_docs_chain)"
]

4
docs/docs/integrations/memory/couchbase_chat_message_history.ipynb
View File

@@ -267,7 +267,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='Hello Bob! How can I assist you today?', response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 22, 'total_tokens': 32}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-a0f8a29e-ddf4-4e06-a1fe-cf8c325a2b72-0', usage_metadata={'input_tokens': 22, 'output_tokens': 10, 'total_tokens': 32})"
"AIMessage(content='Hello Bob! How can I assist you today?', response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 22, 'total_tokens': 32}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-a0f8a29e-ddf4-4e06-a1fe-cf8c325a2b72-0', usage_metadata={'input_tokens': 22, 'output_tokens': 10, 'total_tokens': 32})"
]
},
"execution_count": 11,
@@ -288,7 +288,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='Your name is Bob.', response_metadata={'token_usage': {'completion_tokens': 5, 'prompt_tokens': 43, 'total_tokens': 48}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-f764a9eb-999e-4042-96b6-fe47b7ae4779-0', usage_metadata={'input_tokens': 43, 'output_tokens': 5, 'total_tokens': 48})"
"AIMessage(content='Your name is Bob.', response_metadata={'token_usage': {'completion_tokens': 5, 'prompt_tokens': 43, 'total_tokens': 48}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-f764a9eb-999e-4042-96b6-fe47b7ae4779-0', usage_metadata={'input_tokens': 43, 'output_tokens': 5, 'total_tokens': 48})"
]
},
"execution_count": 12,

2
docs/docs/integrations/retrievers/azure_ai_search.ipynb
View File

@@ -304,7 +304,7 @@
"Question: {question}\"\"\"\n",
")\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\")\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\")\n",
"\n",
"\n",
"def format_docs(docs):\n",

2
docs/docs/integrations/retrievers/box.ipynb
View File

@@ -220,7 +220,7 @@
"\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{

2
docs/docs/integrations/retrievers/elasticsearch_retriever.ipynb
View File

@@ -645,7 +645,7 @@
"Question: {question}\"\"\"\n",
")\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\")\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\")\n",
"\n",
"\n",
"def format_docs(docs):\n",

2
docs/docs/integrations/retrievers/tavily.ipynb
View File

@@ -161,7 +161,7 @@
"Question: {question}\"\"\"\n",
")\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\")\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\")\n",
"\n",
"\n",
"def format_docs(docs):\n",

2
docs/docs/integrations/retrievers/wikipedia.ipynb
View File

@@ -171,7 +171,7 @@
"\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{

2
docs/docs/integrations/tools/github.ipynb
View File

@@ -226,7 +226,7 @@
"\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{

2
docs/docs/integrations/tools/gmail.ipynb
View File

@@ -177,7 +177,7 @@
"\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{

2
docs/docs/integrations/tools/requests.ipynb
View File

@@ -250,7 +250,7 @@
"from langchain_openai import ChatOpenAI\n",
"from langgraph.prebuilt import create_react_agent\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\")\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\")\n",
"\n",
"system_message = \"\"\"\n",
"You have access to an API to help answer user queries.\n",

2
docs/docs/integrations/tools/slack.ipynb
View File

@@ -161,7 +161,7 @@
"from langchain_openai import ChatOpenAI\n",
"from langgraph.prebuilt import create_react_agent\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\")\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\")\n",
"\n",
"agent_executor = create_react_agent(llm, tools)"
]

6
docs/docs/tutorials/chatbot.ipynb
View File

@@ -143,7 +143,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='Hello Bob! How can I assist you today?', response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 12, 'total_tokens': 22}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-d939617f-0c3b-45e9-a93f-13dafecbd4b5-0', usage_metadata={'input_tokens': 12, 'output_tokens': 10, 'total_tokens': 22})"
"AIMessage(content='Hello Bob! How can I assist you today?', response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 12, 'total_tokens': 22}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-d939617f-0c3b-45e9-a93f-13dafecbd4b5-0', usage_metadata={'input_tokens': 12, 'output_tokens': 10, 'total_tokens': 22})"
]
},
"execution_count": 2,
@@ -172,7 +172,7 @@
{
"data": {
"text/plain": [
"AIMessage(content=\"I'm sorry, I don't have access to personal information unless you provide it to me. How may I assist you today?\", response_metadata={'token_usage': {'completion_tokens': 26, 'prompt_tokens': 12, 'total_tokens': 38}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-47bc8c20-af7b-4fd2-9345-f0e9fdf18ce3-0', usage_metadata={'input_tokens': 12, 'output_tokens': 26, 'total_tokens': 38})"
"AIMessage(content=\"I'm sorry, I don't have access to personal information unless you provide it to me. How may I assist you today?\", response_metadata={'token_usage': {'completion_tokens': 26, 'prompt_tokens': 12, 'total_tokens': 38}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-47bc8c20-af7b-4fd2-9345-f0e9fdf18ce3-0', usage_metadata={'input_tokens': 12, 'output_tokens': 26, 'total_tokens': 38})"
]
},
"execution_count": 3,
@@ -204,7 +204,7 @@
{
"data": {
"text/plain": [
"AIMessage(content='Your name is Bob. How can I help you, Bob?', response_metadata={'token_usage': {'completion_tokens': 13, 'prompt_tokens': 35, 'total_tokens': 48}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-9f90291b-4df9-41dc-9ecf-1ee1081f4490-0', usage_metadata={'input_tokens': 35, 'output_tokens': 13, 'total_tokens': 48})"
"AIMessage(content='Your name is Bob. How can I help you, Bob?', response_metadata={'token_usage': {'completion_tokens': 13, 'prompt_tokens': 35, 'total_tokens': 48}, 'model_name': 'gpt-4o-mini', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-9f90291b-4df9-41dc-9ecf-1ee1081f4490-0', usage_metadata={'input_tokens': 35, 'output_tokens': 13, 'total_tokens': 48})"
]
},
"execution_count": 4,

4
docs/docs/tutorials/classification.ipynb
View File

@@ -96,7 +96,7 @@
"\n",
"\n",
"# LLM\n",
"llm = ChatOpenAI(temperature=0, model=\"gpt-3.5-turbo-0125\").with_structured_output(\n",
"llm = ChatOpenAI(temperature=0, model=\"gpt-4o-mini\").with_structured_output(\n",
" Classification\n",
")\n",
"\n",
@@ -229,7 +229,7 @@
"\"\"\"\n",
")\n",
"\n",
"llm = ChatOpenAI(temperature=0, model=\"gpt-3.5-turbo-0125\").with_structured_output(\n",
"llm = ChatOpenAI(temperature=0, model=\"gpt-4o-mini\").with_structured_output(\n",
" Classification\n",
")\n",
"\n",

2
docs/docs/tutorials/query_analysis.ipynb
View File

@@ -430,7 +430,7 @@
" (\"human\", \"{question}\"),\n",
" ]\n",
")\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)\n",
"structured_llm = llm.with_structured_output(Search)\n",
"query_analyzer = {\"question\": RunnablePassthrough()} | prompt | structured_llm"
]

2
docs/docs/versions/migrating_chains/map_reduce_chain.ipynb
View File

@@ -46,7 +46,7 @@
"\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{

2
docs/docs/versions/migrating_chains/stuff_docs_chain.ipynb
View File

@@ -32,7 +32,7 @@
"\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)"
"llm = ChatOpenAI(model=\"gpt-4o-mini\", temperature=0)"
]
},
{