This PR proposes an implementation to support `generate` as an
`early_stopping_method` for the new `OpenAIFunctionsAgent` class.
The motivation behind is to facilitate the user to set a maximum number
of actions the agent can take with `max_iterations` and force a final
response with this new agent (as with the `Agent` class).
The following changes were made:
- The `OpenAIFunctionsAgent.return_stopped_response` method was
overwritten to support `generate` as an `early_stopping_method`
- A boolean `with_functions` parameter was added to the
`OpenAIFunctionsAgent.plan` method
This way the `OpenAIFunctionsAgent.return_stopped_response` method can
call the `OpenAIFunctionsAgent.plan` method with `with_function=False`
when the `early_stopping_method` is set to `generate`, making a call to
the LLM with no functions and forcing a final response from the
`"assistant"`.
- Relevant maintainer: @hinthornw
- Twitter handle: @aledelunap
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
"To make sure that our agent doesn't get stuck in excessively long loops, we can set max_iterations. We can also set an early stopping method, which will determine our agent's behavior once the number of max iterations is hit. By default, the early stopping uses method `force` which just returns that constant string. Alternatively, you could specify method `generate` which then does one FINAL pass through the LLM to generate an output."
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 16,
"id": "9f5f6743",
"metadata": {},
"outputs": [],
"source": [
"mrkl = initialize_agent(\n",
" tools, \n",
" llm, \n",
" agent=AgentType.OPENAI_FUNCTIONS, \n",
" verbose=True, \n",
" max_iterations=2, \n",
" early_stopping_method=\"generate\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "4362ebc7",
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor] Entering Chain run with input:\n",
"\u001b[0m{\n",
" \"input\": \"What is the weather in NYC today, yesterday, and the day before?\"\n",
"}\n",
"\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 2:llm:ChatOpenAI] Entering LLM run with input:\n",
"\u001b[0m{\n",
" \"prompts\": [\n",
" \"System: You are a helpful AI assistant.\\nHuman: What is the weather in NYC today, yesterday, and the day before?\"\n",
" ]\n",
"}\n",
"\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 2:llm:ChatOpenAI] [1.27s] Exiting LLM run with output:\n",
"\u001b[0m{\n",
" \"generations\": [\n",
" [\n",
" {\n",
" \"text\": \"\",\n",
" \"generation_info\": null,\n",
" \"message\": {\n",
" \"lc\": 1,\n",
" \"type\": \"constructor\",\n",
" \"id\": [\n",
" \"langchain\",\n",
" \"schema\",\n",
" \"messages\",\n",
" \"AIMessage\"\n",
" ],\n",
" \"kwargs\": {\n",
" \"content\": \"\",\n",
" \"additional_kwargs\": {\n",
" \"function_call\": {\n",
" \"name\": \"Search\",\n",
" \"arguments\": \"{\\n \\\"query\\\": \\\"weather in NYC today\\\"\\n}\"\n",
" }\n",
" }\n",
" }\n",
" }\n",
" }\n",
" ]\n",
" ],\n",
" \"llm_output\": {\n",
" \"token_usage\": {\n",
" \"prompt_tokens\": 79,\n",
" \"completion_tokens\": 17,\n",
" \"total_tokens\": 96\n",
" },\n",
" \"model_name\": \"gpt-3.5-turbo-0613\"\n",
" },\n",
" \"run\": null\n",
"}\n",
"\u001b[32;1m\u001b[1;3m[tool/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 3:tool:Search] Entering Tool run with input:\n",
"\u001b[0m\"{'query': 'weather in NYC today'}\"\n",
"\u001b[36;1m\u001b[1;3m[tool/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 3:tool:Search] [3.84s] Exiting Tool run with output:\n",
"\u001b[0m\"10:00 am · Feels Like85° · WindSE 4 mph · Humidity78% · UV Index3 of 11 · Cloud Cover81% · Rain Amount0 in ...\"\n",
"\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 4:llm:ChatOpenAI] Entering LLM run with input:\n",
"\u001b[0m{\n",
" \"prompts\": [\n",
" \"System: You are a helpful AI assistant.\\nHuman: What is the weather in NYC today, yesterday, and the day before?\\nAI: {'name': 'Search', 'arguments': '{\\\\n \\\"query\\\": \\\"weather in NYC today\\\"\\\\n}'}\\nFunction: 10:00 am · Feels Like85° · WindSE 4 mph · Humidity78% · UV Index3 of 11 · Cloud Cover81% · Rain Amount0 in ...\"\n",
" ]\n",
"}\n",
"\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 4:llm:ChatOpenAI] [1.24s] Exiting LLM run with output:\n",
"\u001b[0m{\n",
" \"generations\": [\n",
" [\n",
" {\n",
" \"text\": \"\",\n",
" \"generation_info\": null,\n",
" \"message\": {\n",
" \"lc\": 1,\n",
" \"type\": \"constructor\",\n",
" \"id\": [\n",
" \"langchain\",\n",
" \"schema\",\n",
" \"messages\",\n",
" \"AIMessage\"\n",
" ],\n",
" \"kwargs\": {\n",
" \"content\": \"\",\n",
" \"additional_kwargs\": {\n",
" \"function_call\": {\n",
" \"name\": \"Search\",\n",
" \"arguments\": \"{\\n \\\"query\\\": \\\"weather in NYC yesterday\\\"\\n}\"\n",
" }\n",
" }\n",
" }\n",
" }\n",
" }\n",
" ]\n",
" ],\n",
" \"llm_output\": {\n",
" \"token_usage\": {\n",
" \"prompt_tokens\": 142,\n",
" \"completion_tokens\": 17,\n",
" \"total_tokens\": 159\n",
" },\n",
" \"model_name\": \"gpt-3.5-turbo-0613\"\n",
" },\n",
" \"run\": null\n",
"}\n",
"\u001b[32;1m\u001b[1;3m[tool/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 5:tool:Search] Entering Tool run with input:\n",
"\u001b[0m\"{'query': 'weather in NYC yesterday'}\"\n",
"\u001b[36;1m\u001b[1;3m[tool/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 5:tool:Search] [1.15s] Exiting Tool run with output:\n",
"\u001b[0m\"New York Temperature Yesterday. Maximum temperature yesterday: 81 °F (at 1:51 pm) Minimum temperature yesterday: 72 °F (at 7:17 pm) Average temperature ...\"\n",
"\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[1:llm:ChatOpenAI] Entering LLM run with input:\n",
"\u001b[0m{\n",
" \"prompts\": [\n",
" \"System: You are a helpful AI assistant.\\nHuman: What is the weather in NYC today, yesterday, and the day before?\\nAI: {'name': 'Search', 'arguments': '{\\\\n \\\"query\\\": \\\"weather in NYC today\\\"\\\\n}'}\\nFunction: 10:00 am · Feels Like85° · WindSE 4 mph · Humidity78% · UV Index3 of 11 · Cloud Cover81% · Rain Amount0 in ...\\nAI: {'name': 'Search', 'arguments': '{\\\\n \\\"query\\\": \\\"weather in NYC yesterday\\\"\\\\n}'}\\nFunction: New York Temperature Yesterday. Maximum temperature yesterday: 81 °F (at 1:51 pm) Minimum temperature yesterday: 72 °F (at 7:17 pm) Average temperature ...\"\n",
" ]\n",
"}\n",
"\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[1:llm:ChatOpenAI] [2.68s] Exiting LLM run with output:\n",
"\u001b[0m{\n",
" \"generations\": [\n",
" [\n",
" {\n",
" \"text\": \"Today in NYC, the weather is currently 85°F with a southeast wind of 4 mph. The humidity is at 78% and there is 81% cloud cover. There is no rain expected today.\\n\\nYesterday in NYC, the maximum temperature was 81°F at 1:51 pm, and the minimum temperature was 72°F at 7:17 pm.\\n\\nFor the day before yesterday, I do not have the specific weather information.\",\n",
" \"generation_info\": null,\n",
" \"message\": {\n",
" \"lc\": 1,\n",
" \"type\": \"constructor\",\n",
" \"id\": [\n",
" \"langchain\",\n",
" \"schema\",\n",
" \"messages\",\n",
" \"AIMessage\"\n",
" ],\n",
" \"kwargs\": {\n",
" \"content\": \"Today in NYC, the weather is currently 85°F with a southeast wind of 4 mph. The humidity is at 78% and there is 81% cloud cover. There is no rain expected today.\\n\\nYesterday in NYC, the maximum temperature was 81°F at 1:51 pm, and the minimum temperature was 72°F at 7:17 pm.\\n\\nFor the day before yesterday, I do not have the specific weather information.\",\n",
" \"additional_kwargs\": {}\n",
" }\n",
" }\n",
" }\n",
" ]\n",
" ],\n",
" \"llm_output\": {\n",
" \"token_usage\": {\n",
" \"prompt_tokens\": 160,\n",
" \"completion_tokens\": 91,\n",
" \"total_tokens\": 251\n",
" },\n",
" \"model_name\": \"gpt-3.5-turbo-0613\"\n",
" },\n",
" \"run\": null\n",
"}\n",
"\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor] [10.18s] Exiting Chain run with output:\n",
"\u001b[0m{\n",
" \"output\": \"Today in NYC, the weather is currently 85°F with a southeast wind of 4 mph. The humidity is at 78% and there is 81% cloud cover. There is no rain expected today.\\n\\nYesterday in NYC, the maximum temperature was 81°F at 1:51 pm, and the minimum temperature was 72°F at 7:17 pm.\\n\\nFor the day before yesterday, I do not have the specific weather information.\"\n",
"}\n"
]
},
{
"data": {
"text/plain": [
"'Today in NYC, the weather is currently 85°F with a southeast wind of 4 mph. The humidity is at 78% and there is 81% cloud cover. There is no rain expected today.\\n\\nYesterday in NYC, the maximum temperature was 81°F at 1:51 pm, and the minimum temperature was 72°F at 7:17 pm.\\n\\nFor the day before yesterday, I do not have the specific weather information.'"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mrkl.run(\n",
" \"What is the weather in NYC today, yesterday, and the day before?\"\n",
")"
]
},
{
"cell_type": "markdown",
"id": "067a8d3e",
"metadata": {},
"source": [
"Notice that we never get around to looking up the weather the day before yesterday, due to hitting our max_iterations limit."
Alejandra De Luna
1 year ago
committed by
GitHub