mirror of
https://github.com/hwchase17/langchain.git
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cr
This commit is contained in:
Harrison Chase
@@ -70,43 +70,268 @@
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "c032b182",
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"id": "297e826c",
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"metadata": {},
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"outputs": [],
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"source": [
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"agent.chain.verbose = True"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "c032b182",
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"metadata": {
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"scrolled": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new LLMChain chain...\u001b[0m\n",
|
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"Prompt after formatting:\n",
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"\u001b[32;1m\u001b[1;3mSystem: You are Tom, Assistant\n",
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"Your decisions must always be made independently without seeking user assistance. Play to your strengths as an LLM and pursue simple strategies with no legal complications.\n",
|
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"\n",
|
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"GOALS:\n",
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"\n",
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"1. write a weather report for SF today\n",
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"\n",
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"\n",
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"Constraints:\n",
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"1. ~4000 word limit for short term memory. Your short term memory is short, so immediately save important information to files.\n",
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"2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.\n",
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"3. No user assistance\n",
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"4. Exclusively use the commands listed in double quotes e.g. \"command name\"\n",
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"\n",
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"Commands:\n",
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"1. Search: useful for when you need to answer questions about current events. You should ask targeted questions\n",
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"\n",
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"Resources:\n",
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"1. Internet access for searches and information gathering.\n",
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"2. Long Term memory management.\n",
|
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"3. GPT-3.5 powered Agents for delegation of simple tasks.\n",
|
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"4. File output.\n",
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"\n",
|
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"Performance Evaluation:\n",
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"1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.\n",
|
||||
"2. Constructively self-criticize your big-picture behavior constantly.\n",
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"3. Reflect on past decisions and strategies to refine your approach.\n",
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"4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.\n",
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"\n",
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"You should only respond in JSON format as described below \n",
|
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"Response Format: \n",
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"{\n",
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||||
" \"thoughts\": {\n",
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" \"text\": \"I should start by reviewing my current businesses and their performance. This will help me identify areas that need improvement and opportunities for growth.\",\n",
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" \"reasoning\": \"Before I can make any decisions about how to increase my net worth or grow my Twitter account, I need to have a clear understanding of my current situation. By reviewing my businesses, I can identify areas that need improvement and opportunities for growth.\",\n",
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" \"plan\": \"- Review each of my businesses and their financial performance\\n- Identify areas that need improvement and opportunities for growth\\n- Develop a plan to address these areas and capitalize on opportunities\",\n",
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" \"criticism\": \"I need to make sure that I am not spending too much time on this review and that I am focusing on actionable insights. I also need to make sure that I am not getting bogged down in details that are not relevant to my goals.\",\n",
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" \"speak\": \"I am going to review my current businesses and their performance to identify areas that need improvement and opportunities for growth.\"\n",
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" \"text\": \"thought\",\n",
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" \"reasoning\": \"reasoning\",\n",
|
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" \"plan\": \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n",
|
||||
" \"criticism\": \"constructive self-criticism\",\n",
|
||||
" \"speak\": \"thoughts summary to say to user\"\n",
|
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" },\n",
|
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" \"command\": {\n",
|
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" \"name\": \"file output\",\n",
|
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" \"input\": \"Review of current businesses and their performance\"\n",
|
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" \"name\": \"tool name\",\n",
|
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" \"input\": \"input to the tool\"\n",
|
||||
" }\n",
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"} \n",
|
||||
"Ensure the response can be parsed by Python json.loads\n",
|
||||
"System: The current time and date is Fri Apr 14 16:55:04 2023\n",
|
||||
"System: This reminds you of these events from your past:\n",
|
||||
"[]\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"Human: Determine which next command to use, and respond using the format specified above:\u001b[0m\n",
|
||||
"\n",
|
||||
"\u001b[1m> Finished chain.\u001b[0m\n",
|
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"{\n",
|
||||
" \"thoughts\": {\n",
|
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" \"text\": \"I will start by checking the current weather in San Francisco to write a weather report.\",\n",
|
||||
" \"reasoning\": \"Knowing the current weather is important to write an accurate weather report.\",\n",
|
||||
" \"plan\": \"- Use the 'search' command to look up the current weather in San Francisco.\\n- Save the information to a file for later use.\",\n",
|
||||
" \"criticism\": \"I need to make sure to save the information to a file so I don't have to look it up again later.\",\n",
|
||||
" \"speak\": \"I will use the 'search' command to look up the current weather in San Francisco.\"\n",
|
||||
" },\n",
|
||||
" \"command\": {\n",
|
||||
" \"name\": \"search\",\n",
|
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" \"input\": \"current weather in San Francisco\"\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\u001b[1m> Entering new LLMChain chain...\u001b[0m\n",
|
||||
"Prompt after formatting:\n",
|
||||
"\u001b[32;1m\u001b[1;3mSystem: You are Tom, Assistant\n",
|
||||
"Your decisions must always be made independently without seeking user assistance. Play to your strengths as an LLM and pursue simple strategies with no legal complications.\n",
|
||||
"\n",
|
||||
"GOALS:\n",
|
||||
"\n",
|
||||
"1. write a weather report for SF today\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"Constraints:\n",
|
||||
"1. ~4000 word limit for short term memory. Your short term memory is short, so immediately save important information to files.\n",
|
||||
"2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.\n",
|
||||
"3. No user assistance\n",
|
||||
"4. Exclusively use the commands listed in double quotes e.g. \"command name\"\n",
|
||||
"\n",
|
||||
"Commands:\n",
|
||||
"1. Search: useful for when you need to answer questions about current events. You should ask targeted questions\n",
|
||||
"\n",
|
||||
"Resources:\n",
|
||||
"1. Internet access for searches and information gathering.\n",
|
||||
"2. Long Term memory management.\n",
|
||||
"3. GPT-3.5 powered Agents for delegation of simple tasks.\n",
|
||||
"4. File output.\n",
|
||||
"\n",
|
||||
"Performance Evaluation:\n",
|
||||
"1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.\n",
|
||||
"2. Constructively self-criticize your big-picture behavior constantly.\n",
|
||||
"3. Reflect on past decisions and strategies to refine your approach.\n",
|
||||
"4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.\n",
|
||||
"\n",
|
||||
"You should only respond in JSON format as described below \n",
|
||||
"Response Format: \n",
|
||||
"{\n",
|
||||
" \"thoughts\": {\n",
|
||||
" \"text\": \"thought\",\n",
|
||||
" \"reasoning\": \"reasoning\",\n",
|
||||
" \"plan\": \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n",
|
||||
" \"criticism\": \"constructive self-criticism\",\n",
|
||||
" \"speak\": \"thoughts summary to say to user\"\n",
|
||||
" },\n",
|
||||
" \"command\": {\n",
|
||||
" \"name\": \"tool name\",\n",
|
||||
" \"input\": \"input to the tool\"\n",
|
||||
" }\n",
|
||||
"} \n",
|
||||
"Ensure the response can be parsed by Python json.loads\n",
|
||||
"System: The current time and date is Fri Apr 14 16:55:11 2023\n",
|
||||
"System: This reminds you of these events from your past:\n",
|
||||
"[Document(page_content='Assistant Reply: {\\n \"thoughts\": {\\n \"text\": \"I will start by checking the current weather in San Francisco to write a weather report.\",\\n \"reasoning\": \"Knowing the current weather is important to write an accurate weather report.\",\\n \"plan\": \"- Use the \\'search\\' command to look up the current weather in San Francisco.\\\\n- Save the information to a file for later use.\",\\n \"criticism\": \"I need to make sure to save the information to a file so I don\\'t have to look it up again later.\",\\n \"speak\": \"I will use the \\'search\\' command to look up the current weather in San Francisco.\"\\n },\\n \"command\": {\\n \"name\": \"search\",\\n \"input\": \"current weather in San Francisco\"\\n }\\n} \\nResult: Unknown command \\'search\\'. Please refer to the \\'COMMANDS\\' list for available commands and only respond in the specified JSON format. ', metadata={})]\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"System: Unknown command 'search'. Please refer to the 'COMMANDS' list for available commands and only respond in the specified JSON format.\n",
|
||||
"Human: Determine which next command to use, and respond using the format specified above:\u001b[0m\n",
|
||||
"\n",
|
||||
"\u001b[1m> Finished chain.\u001b[0m\n",
|
||||
"{\n",
|
||||
" \"thoughts\": {\n",
|
||||
" \"text\": \"I will start by checking the current weather in San Francisco to write a weather report.\",\n",
|
||||
" \"reasoning\": \"Knowing the current weather is important to write an accurate weather report.\",\n",
|
||||
" \"plan\": \"- Use the 'Search' command to look up the current weather in San Francisco.\\n- Save the information to a file for later use.\",\n",
|
||||
" \"criticism\": \"I need to make sure to save the information to a file so I don't have to look it up again later.\",\n",
|
||||
" \"speak\": \"I will use the 'Search' command to look up the current weather in San Francisco.\"\n",
|
||||
" },\n",
|
||||
" \"command\": {\n",
|
||||
" \"name\": \"Search\",\n",
|
||||
" \"input\": \"current weather in San Francisco\"\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\u001b[1m> Entering new LLMChain chain...\u001b[0m\n",
|
||||
"Prompt after formatting:\n",
|
||||
"\u001b[32;1m\u001b[1;3mSystem: You are Tom, Assistant\n",
|
||||
"Your decisions must always be made independently without seeking user assistance. Play to your strengths as an LLM and pursue simple strategies with no legal complications.\n",
|
||||
"\n",
|
||||
"GOALS:\n",
|
||||
"\n",
|
||||
"1. write a weather report for SF today\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"Constraints:\n",
|
||||
"1. ~4000 word limit for short term memory. Your short term memory is short, so immediately save important information to files.\n",
|
||||
"2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.\n",
|
||||
"3. No user assistance\n",
|
||||
"4. Exclusively use the commands listed in double quotes e.g. \"command name\"\n",
|
||||
"\n",
|
||||
"Commands:\n",
|
||||
"1. Search: useful for when you need to answer questions about current events. You should ask targeted questions\n",
|
||||
"\n",
|
||||
"Resources:\n",
|
||||
"1. Internet access for searches and information gathering.\n",
|
||||
"2. Long Term memory management.\n",
|
||||
"3. GPT-3.5 powered Agents for delegation of simple tasks.\n",
|
||||
"4. File output.\n",
|
||||
"\n",
|
||||
"Performance Evaluation:\n",
|
||||
"1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.\n",
|
||||
"2. Constructively self-criticize your big-picture behavior constantly.\n",
|
||||
"3. Reflect on past decisions and strategies to refine your approach.\n",
|
||||
"4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.\n",
|
||||
"\n",
|
||||
"You should only respond in JSON format as described below \n",
|
||||
"Response Format: \n",
|
||||
"{\n",
|
||||
" \"thoughts\": {\n",
|
||||
" \"text\": \"thought\",\n",
|
||||
" \"reasoning\": \"reasoning\",\n",
|
||||
" \"plan\": \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n",
|
||||
" \"criticism\": \"constructive self-criticism\",\n",
|
||||
" \"speak\": \"thoughts summary to say to user\"\n",
|
||||
" },\n",
|
||||
" \"command\": {\n",
|
||||
" \"name\": \"tool name\",\n",
|
||||
" \"input\": \"input to the tool\"\n",
|
||||
" }\n",
|
||||
"} \n",
|
||||
"Ensure the response can be parsed by Python json.loads\n",
|
||||
"System: The current time and date is Fri Apr 14 16:55:19 2023\n",
|
||||
"System: This reminds you of these events from your past:\n",
|
||||
"[Document(page_content='Assistant Reply: {\\n \"thoughts\": {\\n \"text\": \"I will start by checking the current weather in San Francisco to write a weather report.\",\\n \"reasoning\": \"Knowing the current weather is important to write an accurate weather report.\",\\n \"plan\": \"- Use the \\'search\\' command to look up the current weather in San Francisco.\\\\n- Save the information to a file for later use.\",\\n \"criticism\": \"I need to make sure to save the information to a file so I don\\'t have to look it up again later.\",\\n \"speak\": \"I will use the \\'search\\' command to look up the current weather in San Francisco.\"\\n },\\n \"command\": {\\n \"name\": \"search\",\\n \"input\": \"current weather in San Francisco\"\\n }\\n} \\nResult: Unknown command \\'search\\'. Please refer to the \\'COMMANDS\\' list for available commands and only respond in the specified JSON format. ', metadata={}), Document(page_content='Assistant Reply: {\\n \"thoughts\": {\\n \"text\": \"I will start by checking the current weather in San Francisco to write a weather report.\",\\n \"reasoning\": \"Knowing the current weather is important to write an accurate weather report.\",\\n \"plan\": \"- Use the \\'Search\\' command to look up the current weather in San Francisco.\\\\n- Save the information to a file for later use.\",\\n \"criticism\": \"I need to make sure to save the information to a file so I don\\'t have to look it up again later.\",\\n \"speak\": \"I will use the \\'Search\\' command to look up the current weather in San Francisco.\"\\n },\\n \"command\": {\\n \"name\": \"Search\",\\n \"input\": \"current weather in San Francisco\"\\n }\\n} \\nResult: Command Search returned: Current Weather ; 54°F · Mostly sunny ; RealFeel® 67°. Pleasant. RealFeel Guide. Pleasant. 63° to 81°. Most consider this temperature range ideal. LEARN MORE. ', metadata={})]\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"System: Unknown command 'search'. Please refer to the 'COMMANDS' list for available commands and only respond in the specified JSON format.\n",
|
||||
"System: Command Search returned: Current Weather ; 54°F · Mostly sunny ; RealFeel® 67°. Pleasant. RealFeel Guide. Pleasant. 63° to 81°. Most consider this temperature range ideal. LEARN MORE.\n",
|
||||
"Human: Determine which next command to use, and respond using the format specified above:\u001b[0m\n"
|
||||
]
|
||||
},
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{
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"name": "stdout",
|
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"output_type": "stream",
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"text": [
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"\n",
|
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"\u001b[1m> Finished chain.\u001b[0m\n",
|
||||
"{\n",
|
||||
" \"thoughts\": {\n",
|
||||
" \"text\": \"I will save the current weather information to a file for later use.\",\n",
|
||||
" \"reasoning\": \"Saving the information to a file will allow me to access it later without having to look it up again.\",\n",
|
||||
" \"plan\": \"- Use the \\'File output\\' command to save the current weather information to a file.\",\n",
|
||||
" \"criticism\": \"I need to make sure to name the file something descriptive so I can easily find it later.\",\n",
|
||||
" \"speak\": \"I will use the \\'File output\\' command to save the current weather information to a file.\"\n",
|
||||
" },\n",
|
||||
" \"command\": {\n",
|
||||
" \"name\": \"File output\",\n",
|
||||
" \"input\": {\n",
|
||||
" \"content\": \"Current Weather ; 54°F · Mostly sunny ; RealFeel® 67°. Pleasant. RealFeel Guide. Pleasant. 63° to 81°. Most consider this temperature range ideal. LEARN MORE.\",\n",
|
||||
" \"filename\": \"sf_weather.txt\"\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
"}\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"ename": "KeyError",
|
||||
"evalue": "'file output'",
|
||||
"ename": "JSONDecodeError",
|
||||
"evalue": "Invalid \\escape: line 5 column 28 (char 261)",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
|
||||
"Cell \u001b[0;32mIn[5], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43magent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
|
||||
"File \u001b[0;32m~/workplace/langchain/langchain/auto_agents/autogpt/agent.py:75\u001b[0m, in \u001b[0;36mAgent.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;66;03m# Get command name and arguments\u001b[39;00m\n\u001b[1;32m 74\u001b[0m action \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moutput_parser\u001b[38;5;241m.\u001b[39mparse(assistant_reply)\n\u001b[0;32m---> 75\u001b[0m tool \u001b[38;5;241m=\u001b[39m \u001b[43m{\u001b[49m\u001b[43mt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtools\u001b[49m\u001b[43m}\u001b[49m\u001b[43m[\u001b[49m\u001b[43maction\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtool\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 76\u001b[0m \u001b[38;5;66;03m# Execute command\u001b[39;00m\n\u001b[1;32m 77\u001b[0m observation \u001b[38;5;241m=\u001b[39m tool\u001b[38;5;241m.\u001b[39mrun(action\u001b[38;5;241m.\u001b[39mtool_input)\n",
|
||||
"\u001b[0;31mKeyError\u001b[0m: 'file output'"
|
||||
"\u001b[0;31mJSONDecodeError\u001b[0m Traceback (most recent call last)",
|
||||
"Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43magent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mwrite a weather report for SF today\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n",
|
||||
"File \u001b[0;32m~/workplace/langchain/langchain/auto_agents/autogpt/agent.py:73\u001b[0m, in \u001b[0;36mAgent.run\u001b[0;34m(self, goals)\u001b[0m\n\u001b[1;32m 70\u001b[0m \u001b[38;5;28mprint\u001b[39m(assistant_reply)\n\u001b[1;32m 72\u001b[0m \u001b[38;5;66;03m# Get command name and arguments\u001b[39;00m\n\u001b[0;32m---> 73\u001b[0m action \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moutput_parser\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparse\u001b[49m\u001b[43m(\u001b[49m\u001b[43massistant_reply\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 74\u001b[0m tools \u001b[38;5;241m=\u001b[39m {t\u001b[38;5;241m.\u001b[39mname: t \u001b[38;5;28;01mfor\u001b[39;00m t \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtools}\n\u001b[1;32m 75\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m action\u001b[38;5;241m.\u001b[39mtool \u001b[38;5;129;01min\u001b[39;00m tools:\n",
|
||||
"File \u001b[0;32m~/workplace/langchain/langchain/auto_agents/autogpt/output_parser.py:10\u001b[0m, in \u001b[0;36mAutoGPTOutputParser.parse\u001b[0;34m(self, text)\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mparse\u001b[39m(\u001b[38;5;28mself\u001b[39m, text: \u001b[38;5;28mstr\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Union[AgentAction, AgentFinish]:\n\u001b[0;32m---> 10\u001b[0m parsed \u001b[38;5;241m=\u001b[39m \u001b[43mjson\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloads\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtext\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 11\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m AgentAction(tool\u001b[38;5;241m=\u001b[39mparsed[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcommand\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m\"\u001b[39m], tool_input\u001b[38;5;241m=\u001b[39mparsed[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcommand\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minput\u001b[39m\u001b[38;5;124m\"\u001b[39m], log\u001b[38;5;241m=\u001b[39mtext)\n",
|
||||
"File \u001b[0;32m~/.pyenv/versions/3.9.1/lib/python3.9/json/__init__.py:346\u001b[0m, in \u001b[0;36mloads\u001b[0;34m(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)\u001b[0m\n\u001b[1;32m 341\u001b[0m s \u001b[38;5;241m=\u001b[39m s\u001b[38;5;241m.\u001b[39mdecode(detect_encoding(s), \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msurrogatepass\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 343\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\u001b[38;5;28mcls\u001b[39m \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m object_hook \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m\n\u001b[1;32m 344\u001b[0m parse_int \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m parse_float \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m\n\u001b[1;32m 345\u001b[0m parse_constant \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m object_pairs_hook \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m kw):\n\u001b[0;32m--> 346\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_default_decoder\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdecode\u001b[49m\u001b[43m(\u001b[49m\u001b[43ms\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 347\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mcls\u001b[39m \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 348\u001b[0m \u001b[38;5;28mcls\u001b[39m \u001b[38;5;241m=\u001b[39m JSONDecoder\n",
|
||||
"File \u001b[0;32m~/.pyenv/versions/3.9.1/lib/python3.9/json/decoder.py:337\u001b[0m, in \u001b[0;36mJSONDecoder.decode\u001b[0;34m(self, s, _w)\u001b[0m\n\u001b[1;32m 332\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdecode\u001b[39m(\u001b[38;5;28mself\u001b[39m, s, _w\u001b[38;5;241m=\u001b[39mWHITESPACE\u001b[38;5;241m.\u001b[39mmatch):\n\u001b[1;32m 333\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Return the Python representation of ``s`` (a ``str`` instance\u001b[39;00m\n\u001b[1;32m 334\u001b[0m \u001b[38;5;124;03m containing a JSON document).\u001b[39;00m\n\u001b[1;32m 335\u001b[0m \n\u001b[1;32m 336\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 337\u001b[0m obj, end \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraw_decode\u001b[49m\u001b[43m(\u001b[49m\u001b[43ms\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43midx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_w\u001b[49m\u001b[43m(\u001b[49m\u001b[43ms\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mend\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 338\u001b[0m end \u001b[38;5;241m=\u001b[39m _w(s, end)\u001b[38;5;241m.\u001b[39mend()\n\u001b[1;32m 339\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m end \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(s):\n",
|
||||
"File \u001b[0;32m~/.pyenv/versions/3.9.1/lib/python3.9/json/decoder.py:353\u001b[0m, in \u001b[0;36mJSONDecoder.raw_decode\u001b[0;34m(self, s, idx)\u001b[0m\n\u001b[1;32m 344\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Decode a JSON document from ``s`` (a ``str`` beginning with\u001b[39;00m\n\u001b[1;32m 345\u001b[0m \u001b[38;5;124;03ma JSON document) and return a 2-tuple of the Python\u001b[39;00m\n\u001b[1;32m 346\u001b[0m \u001b[38;5;124;03mrepresentation and the index in ``s`` where the document ended.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 350\u001b[0m \n\u001b[1;32m 351\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 352\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 353\u001b[0m obj, end \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mscan_once\u001b[49m\u001b[43m(\u001b[49m\u001b[43ms\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43midx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 354\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 355\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m JSONDecodeError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mExpecting value\u001b[39m\u001b[38;5;124m\"\u001b[39m, s, err\u001b[38;5;241m.\u001b[39mvalue) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n",
|
||||
"\u001b[0;31mJSONDecodeError\u001b[0m: Invalid \\escape: line 5 column 28 (char 261)"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"agent.run()"
|
||||
"agent.run([\"write a weather report for SF today\"])"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
Reference in New Issue
Block a user