core: update notebooks to 0.5.2 and add agent cleanup (error on duplicate names) (#2038)
This commit is contained in:
Sarah Wooders
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@@ -19,18 +19,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 2,
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"id": "7ccd43f2-164b-4d25-8465-894a3bb54c4b",
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"metadata": {},
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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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"Initializing database...\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"from letta import create_client \n",
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"\n",
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@@ -39,7 +31,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 3,
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"id": "e9849ebf-1065-4ce1-9676-16fdd82bdd17",
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"metadata": {},
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"outputs": [],
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@@ -61,7 +53,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 4,
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"id": "7770600d-5e83-4498-acf1-05f5bea216c3",
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"metadata": {},
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"outputs": [],
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@@ -77,17 +69,17 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 5,
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"id": "6c3d3a55-870a-4ff0-81c0-4072f783a940",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Block(value='The company is called AgentOS and is building AI tools to make it easier to create and deploy LLM agents.', limit=2000, template_name=None, template=False, label='company', description=None, metadata_={}, user_id=None, id='block-6db0fe1a-1f5e-44ab-852c-a2df8d7ab80e')"
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"Block(value='The company is called AgentOS and is building AI tools to make it easier to create and deploy LLM agents.', limit=2000, template_name=None, template=False, label='company', description=None, metadata_={}, user_id=None, id='block-f212d9e6-f930-4d3b-b86a-40879a38aec4')"
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]
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},
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"execution_count": 4,
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -98,7 +90,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 6,
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"id": "3e3ce7a4-cf4d-4d74-8d09-b4a35b8bb439",
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"metadata": {},
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"outputs": [],
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@@ -141,7 +133,7 @@
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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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"execution_count": 7,
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"id": "c00232c5-4c37-436c-8ea4-602a31bd84fa",
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"metadata": {},
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"outputs": [],
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@@ -207,6 +199,10 @@
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"+ f\"Ideal canddiates have skills: {skills}. \" \\\n",
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"+ \"Submit your candidate evaluation with the submit_evaluation tool. \"\n",
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"\n",
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"# delete agent if exists \n",
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"if client.get_agent_id(\"eval_agent\"): \n",
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" client.delete_agent(client.get_agent_id(\"eval_agent\"))\n",
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"\n",
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"eval_agent = client.create_agent(\n",
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" name=\"eval_agent\", \n",
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" memory=OrgMemory(\n",
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@@ -271,6 +267,11 @@
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"<company name> \n",
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"\"\"\"\n",
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"\n",
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"\n",
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"# delete agent if exists \n",
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"if client.get_agent_id(\"outreach_agent\"): \n",
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" client.delete_agent(client.get_agent_id(\"outreach_agent\"))\n",
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" \n",
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"outreach_agent = client.create_agent(\n",
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" name=\"outreach_agent\", \n",
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" memory=OrgMemory(\n",
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@@ -353,7 +354,7 @@
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" \n",
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" <div class=\"message\">\n",
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" <div class=\"title\">INTERNAL MONOLOGUE</div>\n",
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" <div class=\"content\"><span class=\"internal-monologue\">Checking candidate details for Tony Stark. Need to assess suitability for our roles.</span></div>\n",
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" <div class=\"content\"><span class=\"internal-monologue\">Checking the resume for Tony Stark to evaluate if he fits the bill for our needs.</span></div>\n",
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" </div>\n",
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" \n",
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" <div class=\"message\">\n",
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@@ -363,34 +364,34 @@
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" \n",
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" <div class=\"message\">\n",
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" <div class=\"title\">FUNCTION RETURN</div>\n",
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" <div class=\"content\">{<br> <span class=\"json-key\">\"status\"</span>: <span class=\"json-key\">\"Failed\",<br> \"message\"</span>: <span class=\"json-key\">\"Error calling function read_resume: [Errno 2] No such file or directory: 'data/resumes/tony_stark.txt'\",<br> \"time\"</span>: <span class=\"json-string\">\"2024-11-06 08:09:57 PM PST-0800\"</span><br>}</div>\n",
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" <div class=\"content\">{<br> <span class=\"json-key\">\"status\"</span>: <span class=\"json-key\">\"Failed\",<br> \"message\"</span>: <span class=\"json-key\">\"Error calling function read_resume: [Errno 2] No such file or directory: 'data/resumes/tony_stark.txt'\",<br> \"time\"</span>: <span class=\"json-string\">\"2024-11-13 05:51:26 PM PST-0800\"</span><br>}</div>\n",
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" </div>\n",
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" \n",
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" <div class=\"message\">\n",
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" <div class=\"title\">INTERNAL MONOLOGUE</div>\n",
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" <div class=\"content\"><span class=\"internal-monologue\">I couldn't retrieve the resume for Tony Stark. I'll need to communicate that back to the user and suggest another action.</span></div>\n",
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" <div class=\"content\"><span class=\"internal-monologue\">I couldn't retrieve Tony's resume. Need to handle this carefully to keep the conversation flowing.</span></div>\n",
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" </div>\n",
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" \n",
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" <div class=\"message\">\n",
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" <div class=\"title\">FUNCTION CALL</div>\n",
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" <div class=\"content\"><span class=\"function-name\">send_message</span>({<br> <span class=\"json-key\">\"message\"</span>: <span class=\"json-string\">\"It looks like I'm having trouble accessing Tony Stark's resume right now. Could you provide any details you have on his skills or experience?\"</span><br>})</div>\n",
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" <div class=\"content\"><span class=\"function-name\">send_message</span>({<br> <span class=\"json-key\">\"message\"</span>: <span class=\"json-string\">\"It looks like I'm having trouble accessing Tony Stark's resume at the moment. Can you provide more details about his qualifications?\"</span><br>})</div>\n",
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" </div>\n",
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" \n",
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" <div class=\"message\">\n",
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" <div class=\"title\">FUNCTION RETURN</div>\n",
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" <div class=\"content\">{<br> <span class=\"json-key\">\"status\"</span>: <span class=\"json-key\">\"OK\",<br> \"message\"</span>: <span class=\"json-key\">\"None\",<br> \"time\"</span>: <span class=\"json-string\">\"2024-11-06 08:10:00 PM PST-0800\"</span><br>}</div>\n",
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" <div class=\"content\">{<br> <span class=\"json-key\">\"status\"</span>: <span class=\"json-key\">\"OK\",<br> \"message\"</span>: <span class=\"json-key\">\"None\",<br> \"time\"</span>: <span class=\"json-string\">\"2024-11-13 05:51:28 PM PST-0800\"</span><br>}</div>\n",
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" </div>\n",
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" </div>\n",
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" <div class=\"usage-container\">\n",
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" <div class=\"usage-stats\">\n",
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" <div class=\"title\">USAGE STATISTICS</div>\n",
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" <div class=\"content\">{<br> <span class=\"json-key\">\"completion_tokens\"</span>: <span class=\"json-number\">109</span>,<br> <span class=\"json-key\">\"prompt_tokens\"</span>: <span class=\"json-number\">4997</span>,<br> <span class=\"json-key\">\"total_tokens\"</span>: <span class=\"json-number\">5106</span>,<br> <span class=\"json-key\">\"step_count\"</span>: <span class=\"json-number\">2</span><br>}</div>\n",
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" <div class=\"content\">{<br> <span class=\"json-key\">\"completion_tokens\"</span>: <span class=\"json-number\">103</span>,<br> <span class=\"json-key\">\"prompt_tokens\"</span>: <span class=\"json-number\">4999</span>,<br> <span class=\"json-key\">\"total_tokens\"</span>: <span class=\"json-number\">5102</span>,<br> <span class=\"json-key\">\"step_count\"</span>: <span class=\"json-number\">2</span><br>}</div>\n",
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" </div>\n",
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" </div>\n",
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" "
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],
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"text/plain": [
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"LettaResponse(messages=[InternalMonologue(id='message-eda4b3ed-c49b-46e0-a328-389e1a4f99f2', date=datetime.datetime(2024, 11, 7, 4, 9, 57, 382192, tzinfo=datetime.timezone.utc), message_type='internal_monologue', internal_monologue='Checking candidate details for Tony Stark. Need to assess suitability for our roles.'), FunctionCallMessage(id='message-eda4b3ed-c49b-46e0-a328-389e1a4f99f2', date=datetime.datetime(2024, 11, 7, 4, 9, 57, 382192, tzinfo=datetime.timezone.utc), message_type='function_call', function_call=FunctionCall(name='read_resume', arguments='{\\n \"name\": \"Tony Stark\",\\n \"request_heartbeat\": true\\n}', function_call_id='call_BkJmry1mIebLCRrMS0c5OyKh')), FunctionReturn(id='message-f25ef27a-8e64-489d-b106-c6cc8d7bfc91', date=datetime.datetime(2024, 11, 7, 4, 9, 57, 384351, tzinfo=datetime.timezone.utc), message_type='function_return', function_return='{\\n \"status\": \"Failed\",\\n \"message\": \"Error calling function read_resume: [Errno 2] No such file or directory: \\'data/resumes/tony_stark.txt\\'\",\\n \"time\": \"2024-11-06 08:09:57 PM PST-0800\"\\n}', status='error', function_call_id='call_BkJmry1mIebLCRrMS0c5OyKh'), InternalMonologue(id='message-8bd8537d-b07a-433e-8db2-cac21643b68b', date=datetime.datetime(2024, 11, 7, 4, 10, 0, 919112, tzinfo=datetime.timezone.utc), message_type='internal_monologue', internal_monologue=\"I couldn't retrieve the resume for Tony Stark. I'll need to communicate that back to the user and suggest another action.\"), FunctionCallMessage(id='message-8bd8537d-b07a-433e-8db2-cac21643b68b', date=datetime.datetime(2024, 11, 7, 4, 10, 0, 919112, tzinfo=datetime.timezone.utc), message_type='function_call', function_call=FunctionCall(name='send_message', arguments='{\\n \"message\": \"It looks like I\\'m having trouble accessing Tony Stark\\'s resume right now. Could you provide any details you have on his skills or experience?\"\\n}', function_call_id='call_AiGCTzL94JmsURKnLKLANRXL')), FunctionReturn(id='message-c3a0f8fd-f894-46df-a091-1fcdf2cb7d4b', date=datetime.datetime(2024, 11, 7, 4, 10, 0, 919561, tzinfo=datetime.timezone.utc), message_type='function_return', function_return='{\\n \"status\": \"OK\",\\n \"message\": \"None\",\\n \"time\": \"2024-11-06 08:10:00 PM PST-0800\"\\n}', status='success', function_call_id='call_AiGCTzL94JmsURKnLKLANRXL')], usage=LettaUsageStatistics(completion_tokens=109, prompt_tokens=4997, total_tokens=5106, step_count=2))"
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"LettaResponse(messages=[InternalMonologue(id='message-97a1ae82-f8f3-419f-94c4-263112dbc10b', date=datetime.datetime(2024, 11, 14, 1, 51, 26, 799617, tzinfo=datetime.timezone.utc), message_type='internal_monologue', internal_monologue='Checking the resume for Tony Stark to evaluate if he fits the bill for our needs.'), FunctionCallMessage(id='message-97a1ae82-f8f3-419f-94c4-263112dbc10b', date=datetime.datetime(2024, 11, 14, 1, 51, 26, 799617, tzinfo=datetime.timezone.utc), message_type='function_call', function_call=FunctionCall(name='read_resume', arguments='{\\n \"name\": \"Tony Stark\",\\n \"request_heartbeat\": true\\n}', function_call_id='call_wOsiHlU3551JaApHKP7rK4Rt')), FunctionReturn(id='message-97a2b57e-40c6-4f06-a307-a0e3a00717ce', date=datetime.datetime(2024, 11, 14, 1, 51, 26, 803505, tzinfo=datetime.timezone.utc), message_type='function_return', function_return='{\\n \"status\": \"Failed\",\\n \"message\": \"Error calling function read_resume: [Errno 2] No such file or directory: \\'data/resumes/tony_stark.txt\\'\",\\n \"time\": \"2024-11-13 05:51:26 PM PST-0800\"\\n}', status='error', function_call_id='call_wOsiHlU3551JaApHKP7rK4Rt'), InternalMonologue(id='message-8e249aea-27ce-4788-b3e0-ac4c8401bc93', date=datetime.datetime(2024, 11, 14, 1, 51, 28, 360676, tzinfo=datetime.timezone.utc), message_type='internal_monologue', internal_monologue=\"I couldn't retrieve Tony's resume. Need to handle this carefully to keep the conversation flowing.\"), FunctionCallMessage(id='message-8e249aea-27ce-4788-b3e0-ac4c8401bc93', date=datetime.datetime(2024, 11, 14, 1, 51, 28, 360676, tzinfo=datetime.timezone.utc), message_type='function_call', function_call=FunctionCall(name='send_message', arguments='{\\n \"message\": \"It looks like I\\'m having trouble accessing Tony Stark\\'s resume at the moment. Can you provide more details about his qualifications?\"\\n}', function_call_id='call_1DoFBhOsP9OCpdPQjUfBcKjw')), FunctionReturn(id='message-5600e8e7-6c6f-482a-8594-a0483ef523a2', date=datetime.datetime(2024, 11, 14, 1, 51, 28, 361921, tzinfo=datetime.timezone.utc), message_type='function_return', function_return='{\\n \"status\": \"OK\",\\n \"message\": \"None\",\\n \"time\": \"2024-11-13 05:51:28 PM PST-0800\"\\n}', status='success', function_call_id='call_1DoFBhOsP9OCpdPQjUfBcKjw')], usage=LettaUsageStatistics(completion_tokens=103, prompt_tokens=4999, total_tokens=5102, step_count=2))"
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]
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},
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"execution_count": 15,
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@@ -416,16 +417,7 @@
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"execution_count": 16,
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"id": "19c57d54-a1fe-4244-b765-b996ba9a4788",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Users/sarahwooders/repos/letta/letta/helpers/tool_rule_solver.py:70: UserWarning: User provided tool rules and execution state resolved to no more possible tool calls.\n",
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" warnings.warn(message)\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"feedback = \"Our company pivoted to foundation model training\"\n",
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"response = client.send_message(\n",
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@@ -453,7 +445,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"execution_count": 18,
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"id": "5d7a7633-35a3-4e41-b44a-be71067dd32a",
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"metadata": {},
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"outputs": [
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@@ -501,47 +493,47 @@
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" \n",
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" <div class=\"message\">\n",
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" <div class=\"title\">INTERNAL MONOLOGUE</div>\n",
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" <div class=\"content\"><span class=\"internal-monologue\">Updating core memory to reflect the new company name as FoundationAI. This is crucial information for ongoing evaluations and discussions.</span></div>\n",
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" <div class=\"content\"><span class=\"internal-monologue\">Updating the company name to reflect the rebranding. This is important for future candidate evaluations.</span></div>\n",
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" </div>\n",
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" \n",
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" <div class=\"message\">\n",
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" <div class=\"title\">FUNCTION CALL</div>\n",
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" <div class=\"content\"><span class=\"function-name\">core_memory_replace</span>({<br> <span class=\"json-key\">\"label\"</span>: <span class=\"json-key\">\"company\",<br> \"old_content\"</span>: <span class=\"json-key\">\"The company has pivoted to foundation model training.\",<br> \"new_content\"</span>: <span class=\"json-key\">\"The company is now named FoundationAI and has pivoted to foundation model training.\",<br> \"request_heartbeat\"</span>: <span class=\"json-boolean\">true</span><br>})</div>\n",
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" <div class=\"content\"><span class=\"function-name\">core_memory_replace</span>({<br> <span class=\"json-key\">\"label\"</span>: <span class=\"json-key\">\"company\",<br> \"old_content\"</span>: <span class=\"json-key\">\"The company has pivoted to foundation model training.\",<br> \"new_content\"</span>: <span class=\"json-key\">\"The company is called FoundationAI and has pivoted to foundation model training.\",<br> \"request_heartbeat\"</span>: <span class=\"json-boolean\">true</span><br>})</div>\n",
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" </div>\n",
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" \n",
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" <div class=\"message\">\n",
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" <div class=\"title\">FUNCTION RETURN</div>\n",
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" <div class=\"content\">{<br> <span class=\"json-key\">\"status\"</span>: <span class=\"json-key\">\"OK\",<br> \"message\"</span>: <span class=\"json-key\">\"None\",<br> \"time\"</span>: <span class=\"json-string\">\"2024-11-06 08:10:17 PM PST-0800\"</span><br>}</div>\n",
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" <div class=\"content\">{<br> <span class=\"json-key\">\"status\"</span>: <span class=\"json-key\">\"OK\",<br> \"message\"</span>: <span class=\"json-key\">\"None\",<br> \"time\"</span>: <span class=\"json-string\">\"2024-11-13 05:51:34 PM PST-0800\"</span><br>}</div>\n",
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" </div>\n",
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" \n",
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" <div class=\"message\">\n",
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" <div class=\"title\">INTERNAL MONOLOGUE</div>\n",
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" <div class=\"content\"><span class=\"internal-monologue\">I need to confirm the updated company name and prompt for more information about Tony.</span></div>\n",
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" <div class=\"content\"><span class=\"internal-monologue\">Now I have the updated company info, time to check in on Tony.</span></div>\n",
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" </div>\n",
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" \n",
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" <div class=\"message\">\n",
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" <div class=\"title\">FUNCTION CALL</div>\n",
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" <div class=\"content\"><span class=\"function-name\">send_message</span>({<br> <span class=\"json-key\">\"message\"</span>: <span class=\"json-string\">\"Got it! I've updated the name to FoundationAI. Do you have any details on Tony Stark's skills that match our new focus?\"</span><br>})</div>\n",
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" <div class=\"content\"><span class=\"function-name\">send_message</span>({<br> <span class=\"json-key\">\"message\"</span>: <span class=\"json-string\">\"Got it, the new name is FoundationAI! What about Tony Stark's background catches your eye for this role? Any particular insights on his skills in front-end development or LLMs?\"</span><br>})</div>\n",
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" </div>\n",
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" \n",
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" <div class=\"message\">\n",
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" <div class=\"title\">FUNCTION RETURN</div>\n",
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" <div class=\"content\">{<br> <span class=\"json-key\">\"status\"</span>: <span class=\"json-key\">\"OK\",<br> \"message\"</span>: <span class=\"json-key\">\"None\",<br> \"time\"</span>: <span class=\"json-string\">\"2024-11-06 08:10:20 PM PST-0800\"</span><br>}</div>\n",
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" <div class=\"content\">{<br> <span class=\"json-key\">\"status\"</span>: <span class=\"json-key\">\"OK\",<br> \"message\"</span>: <span class=\"json-key\">\"None\",<br> \"time\"</span>: <span class=\"json-string\">\"2024-11-13 05:51:35 PM PST-0800\"</span><br>}</div>\n",
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" </div>\n",
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" </div>\n",
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" <div class=\"usage-container\">\n",
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" <div class=\"usage-stats\">\n",
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" <div class=\"title\">USAGE STATISTICS</div>\n",
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" <div class=\"content\">{<br> <span class=\"json-key\">\"completion_tokens\"</span>: <span class=\"json-number\">142</span>,<br> <span class=\"json-key\">\"prompt_tokens\"</span>: <span class=\"json-number\">6387</span>,<br> <span class=\"json-key\">\"total_tokens\"</span>: <span class=\"json-number\">6529</span>,<br> <span class=\"json-key\">\"step_count\"</span>: <span class=\"json-number\">2</span><br>}</div>\n",
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" <div class=\"content\">{<br> <span class=\"json-key\">\"completion_tokens\"</span>: <span class=\"json-number\">146</span>,<br> <span class=\"json-key\">\"prompt_tokens\"</span>: <span class=\"json-number\">6372</span>,<br> <span class=\"json-key\">\"total_tokens\"</span>: <span class=\"json-number\">6518</span>,<br> <span class=\"json-key\">\"step_count\"</span>: <span class=\"json-number\">2</span><br>}</div>\n",
|
||||
" </div>\n",
|
||||
" </div>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"LettaResponse(messages=[InternalMonologue(id='message-de6a4e9f-225a-4239-beba-f53bab429083', date=datetime.datetime(2024, 11, 7, 4, 10, 17, 338163, tzinfo=datetime.timezone.utc), message_type='internal_monologue', internal_monologue='Updating core memory to reflect the new company name as FoundationAI. This is crucial information for ongoing evaluations and discussions.'), FunctionCallMessage(id='message-de6a4e9f-225a-4239-beba-f53bab429083', date=datetime.datetime(2024, 11, 7, 4, 10, 17, 338163, tzinfo=datetime.timezone.utc), message_type='function_call', function_call=FunctionCall(name='core_memory_replace', arguments='{\\n \"label\": \"company\",\\n \"old_content\": \"The company has pivoted to foundation model training.\",\\n \"new_content\": \"The company is now named FoundationAI and has pivoted to foundation model training.\",\\n \"request_heartbeat\": true\\n}', function_call_id='call_QBMhZrxD0oBavqAMOn5nAV2g')), FunctionReturn(id='message-a24ee34b-24d3-4af0-8568-bec3d9bc9ac1', date=datetime.datetime(2024, 11, 7, 4, 10, 17, 338911, tzinfo=datetime.timezone.utc), message_type='function_return', function_return='{\\n \"status\": \"OK\",\\n \"message\": \"None\",\\n \"time\": \"2024-11-06 08:10:17 PM PST-0800\"\\n}', status='success', function_call_id='call_QBMhZrxD0oBavqAMOn5nAV2g'), InternalMonologue(id='message-55c94d9f-de07-4721-b2bb-e447314e7865', date=datetime.datetime(2024, 11, 7, 4, 10, 20, 546442, tzinfo=datetime.timezone.utc), message_type='internal_monologue', internal_monologue='I need to confirm the updated company name and prompt for more information about Tony.'), FunctionCallMessage(id='message-55c94d9f-de07-4721-b2bb-e447314e7865', date=datetime.datetime(2024, 11, 7, 4, 10, 20, 546442, tzinfo=datetime.timezone.utc), message_type='function_call', function_call=FunctionCall(name='send_message', arguments='{\\n \"message\": \"Got it! I\\'ve updated the name to FoundationAI. Do you have any details on Tony Stark\\'s skills that match our new focus?\"\\n}', function_call_id='call_KUJ9Id8yXdj4gt48C1mKlXUg')), FunctionReturn(id='message-c1ebe9cc-529e-407f-a01d-c43ffddee52b', date=datetime.datetime(2024, 11, 7, 4, 10, 20, 547869, tzinfo=datetime.timezone.utc), message_type='function_return', function_return='{\\n \"status\": \"OK\",\\n \"message\": \"None\",\\n \"time\": \"2024-11-06 08:10:20 PM PST-0800\"\\n}', status='success', function_call_id='call_KUJ9Id8yXdj4gt48C1mKlXUg')], usage=LettaUsageStatistics(completion_tokens=142, prompt_tokens=6387, total_tokens=6529, step_count=2))"
|
||||
"LettaResponse(messages=[InternalMonologue(id='message-0adccea9-4b96-4cbb-b5fc-a9ef0120c646', date=datetime.datetime(2024, 11, 14, 1, 51, 34, 180327, tzinfo=datetime.timezone.utc), message_type='internal_monologue', internal_monologue='Updating the company name to reflect the rebranding. This is important for future candidate evaluations.'), FunctionCallMessage(id='message-0adccea9-4b96-4cbb-b5fc-a9ef0120c646', date=datetime.datetime(2024, 11, 14, 1, 51, 34, 180327, tzinfo=datetime.timezone.utc), message_type='function_call', function_call=FunctionCall(name='core_memory_replace', arguments='{\\n \"label\": \"company\",\\n \"old_content\": \"The company has pivoted to foundation model training.\",\\n \"new_content\": \"The company is called FoundationAI and has pivoted to foundation model training.\",\\n \"request_heartbeat\": true\\n}', function_call_id='call_5s0KTElXdipPidchUu3R9CxI')), FunctionReturn(id='message-a2f278e8-ec23-4e22-a124-c21a0f46f733', date=datetime.datetime(2024, 11, 14, 1, 51, 34, 182291, tzinfo=datetime.timezone.utc), message_type='function_return', function_return='{\\n \"status\": \"OK\",\\n \"message\": \"None\",\\n \"time\": \"2024-11-13 05:51:34 PM PST-0800\"\\n}', status='success', function_call_id='call_5s0KTElXdipPidchUu3R9CxI'), InternalMonologue(id='message-91f63cb2-b544-4b2e-82b1-b11643df5f93', date=datetime.datetime(2024, 11, 14, 1, 51, 35, 841684, tzinfo=datetime.timezone.utc), message_type='internal_monologue', internal_monologue='Now I have the updated company info, time to check in on Tony.'), FunctionCallMessage(id='message-91f63cb2-b544-4b2e-82b1-b11643df5f93', date=datetime.datetime(2024, 11, 14, 1, 51, 35, 841684, tzinfo=datetime.timezone.utc), message_type='function_call', function_call=FunctionCall(name='send_message', arguments='{\\n \"message\": \"Got it, the new name is FoundationAI! What about Tony Stark\\'s background catches your eye for this role? Any particular insights on his skills in front-end development or LLMs?\"\\n}', function_call_id='call_R4Erx7Pkpr5lepcuaGQU5isS')), FunctionReturn(id='message-813a9306-38fc-4665-9f3b-7c3671fd90e6', date=datetime.datetime(2024, 11, 14, 1, 51, 35, 842423, tzinfo=datetime.timezone.utc), message_type='function_return', function_return='{\\n \"status\": \"OK\",\\n \"message\": \"None\",\\n \"time\": \"2024-11-13 05:51:35 PM PST-0800\"\\n}', status='success', function_call_id='call_R4Erx7Pkpr5lepcuaGQU5isS')], usage=LettaUsageStatistics(completion_tokens=146, prompt_tokens=6372, total_tokens=6518, step_count=2))"
|
||||
]
|
||||
},
|
||||
"execution_count": 19,
|
||||
"execution_count": 18,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -552,7 +544,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 20,
|
||||
"execution_count": 19,
|
||||
"id": "d04d4b3a-6df1-41a9-9a8e-037fbb45836d",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -566,17 +558,17 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 21,
|
||||
"execution_count": 20,
|
||||
"id": "c60465f4-7977-4f70-9a75-d2ddebabb0fa",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"Block(value='The company is called AgentOS and is building AI tools to make it easier to create and deploy LLM agents.\\nThe company is now named FoundationAI and has pivoted to foundation model training.', limit=2000, template_name=None, template=False, label='company', description=None, metadata_={}, user_id=None, id='block-6db0fe1a-1f5e-44ab-852c-a2df8d7ab80e')"
|
||||
"Block(value='The company is called AgentOS and is building AI tools to make it easier to create and deploy LLM agents.\\nThe company is called FoundationAI and has pivoted to foundation model training.', limit=2000, template_name=None, template=False, label='company', description=None, metadata_={}, user_id=None, id='block-f212d9e6-f930-4d3b-b86a-40879a38aec4')"
|
||||
]
|
||||
},
|
||||
"execution_count": 21,
|
||||
"execution_count": 20,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -587,17 +579,17 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 22,
|
||||
"execution_count": 21,
|
||||
"id": "a51c6bb3-225d-47a4-88f1-9a26ff838dd3",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"Block(value='The company is called AgentOS and is building AI tools to make it easier to create and deploy LLM agents.', limit=2000, template_name=None, template=False, label='company', description=None, metadata_={}, user_id=None, id='block-6db0fe1a-1f5e-44ab-852c-a2df8d7ab80e')"
|
||||
"Block(value='The company is called AgentOS and is building AI tools to make it easier to create and deploy LLM agents.', limit=2000, template_name=None, template=False, label='company', description=None, metadata_={}, user_id=None, id='block-f212d9e6-f930-4d3b-b86a-40879a38aec4')"
|
||||
]
|
||||
},
|
||||
"execution_count": 22,
|
||||
"execution_count": 21,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -617,7 +609,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 23,
|
||||
"execution_count": 22,
|
||||
"id": "80b23d46-ed4b-4457-810a-a819d724e146",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -655,17 +647,17 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 24,
|
||||
"execution_count": 23,
|
||||
"id": "bf6bd419-1504-4513-bc68-d4c717ea8e2d",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"Block(value='The company is called AgentOS and is building AI tools to make it easier to create and deploy LLM agents.\\nThe company is now named FoundationAI and has pivoted to foundation model training.', limit=2000, template_name=None, template=False, label='company', description=None, metadata_={}, user_id='user-00000000-0000-4000-8000-000000000000', id='block-6db0fe1a-1f5e-44ab-852c-a2df8d7ab80e')"
|
||||
"Block(value='The company is called AgentOS and is building AI tools to make it easier to create and deploy LLM agents.\\nThe company is called FoundationAI and has pivoted to foundation model training.', limit=2000, template_name=None, template=False, label='company', description=None, metadata_={}, user_id='user-00000000-0000-4000-8000-000000000000', id='block-f212d9e6-f930-4d3b-b86a-40879a38aec4')"
|
||||
]
|
||||
},
|
||||
"execution_count": 24,
|
||||
"execution_count": 23,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -724,6 +716,10 @@
|
||||
"search_candidate_tool = client.create_tool(search_candidates_db)\n",
|
||||
"consider_candidate_tool = client.create_tool(consider_candidate)\n",
|
||||
"\n",
|
||||
"# delete agent if exists \n",
|
||||
"if client.get_agent_id(\"recruiter_agent\"): \n",
|
||||
" client.delete_agent(client.get_agent_id(\"recruiter_agent\"))\n",
|
||||
"\n",
|
||||
"# create recruiter agent\n",
|
||||
"recruiter_agent = client.create_agent(\n",
|
||||
" name=\"recruiter_agent\", \n",
|
||||
@@ -808,29 +804,29 @@
|
||||
" \n",
|
||||
" <div class=\"message\">\n",
|
||||
" <div class=\"title\">INTERNAL MONOLOGUE</div>\n",
|
||||
" <div class=\"content\"><span class=\"internal-monologue\">User has logged in for the first time. Exciting!</span></div>\n",
|
||||
" <div class=\"content\"><span class=\"internal-monologue\">New user logged in. Excited to get started!</span></div>\n",
|
||||
" </div>\n",
|
||||
" \n",
|
||||
" <div class=\"message\">\n",
|
||||
" <div class=\"title\">FUNCTION CALL</div>\n",
|
||||
" <div class=\"content\"><span class=\"function-name\">send_message</span>({<br> <span class=\"json-key\">\"message\"</span>: <span class=\"json-string\">\"Welcome! It's great to have you here. Let's dive into your journey together, shall we?\"</span><br>})</div>\n",
|
||||
" <div class=\"content\"><span class=\"function-name\">send_message</span>({<br> <span class=\"json-key\">\"message\"</span>: <span class=\"json-string\">\"Welcome! I'm thrilled to have you here. Let’s dive into what you need today!\"</span><br>})</div>\n",
|
||||
" </div>\n",
|
||||
" \n",
|
||||
" <div class=\"message\">\n",
|
||||
" <div class=\"title\">FUNCTION RETURN</div>\n",
|
||||
" <div class=\"content\">{<br> <span class=\"json-key\">\"status\"</span>: <span class=\"json-key\">\"OK\",<br> \"message\"</span>: <span class=\"json-key\">\"None\",<br> \"time\"</span>: <span class=\"json-string\">\"2024-11-06 08:11:04 PM PST-0800\"</span><br>}</div>\n",
|
||||
" <div class=\"content\">{<br> <span class=\"json-key\">\"status\"</span>: <span class=\"json-key\">\"OK\",<br> \"message\"</span>: <span class=\"json-key\">\"None\",<br> \"time\"</span>: <span class=\"json-string\">\"2024-11-13 05:52:14 PM PST-0800\"</span><br>}</div>\n",
|
||||
" </div>\n",
|
||||
" </div>\n",
|
||||
" <div class=\"usage-container\">\n",
|
||||
" <div class=\"usage-stats\">\n",
|
||||
" <div class=\"title\">USAGE STATISTICS</div>\n",
|
||||
" <div class=\"content\">{<br> <span class=\"json-key\">\"completion_tokens\"</span>: <span class=\"json-number\">50</span>,<br> <span class=\"json-key\">\"prompt_tokens\"</span>: <span class=\"json-number\">2399</span>,<br> <span class=\"json-key\">\"total_tokens\"</span>: <span class=\"json-number\">2449</span>,<br> <span class=\"json-key\">\"step_count\"</span>: <span class=\"json-number\">1</span><br>}</div>\n",
|
||||
" <div class=\"content\">{<br> <span class=\"json-key\">\"completion_tokens\"</span>: <span class=\"json-number\">48</span>,<br> <span class=\"json-key\">\"prompt_tokens\"</span>: <span class=\"json-number\">2398</span>,<br> <span class=\"json-key\">\"total_tokens\"</span>: <span class=\"json-number\">2446</span>,<br> <span class=\"json-key\">\"step_count\"</span>: <span class=\"json-number\">1</span><br>}</div>\n",
|
||||
" </div>\n",
|
||||
" </div>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"LettaResponse(messages=[InternalMonologue(id='message-5fee1cc7-b1f8-442d-a0cb-f291d361c4bd', date=datetime.datetime(2024, 11, 7, 4, 11, 4, 98419, tzinfo=datetime.timezone.utc), message_type='internal_monologue', internal_monologue='User has logged in for the first time. Exciting!'), FunctionCallMessage(id='message-5fee1cc7-b1f8-442d-a0cb-f291d361c4bd', date=datetime.datetime(2024, 11, 7, 4, 11, 4, 98419, tzinfo=datetime.timezone.utc), message_type='function_call', function_call=FunctionCall(name='send_message', arguments='{\\n \"message\": \"Welcome! It\\'s great to have you here. Let\\'s dive into your journey together, shall we?\"\\n}', function_call_id='call_LtMblVxNr2FVPiCJicAtaji9')), FunctionReturn(id='message-567a8bfb-468b-4292-82b8-c9ecf20ec7e9', date=datetime.datetime(2024, 11, 7, 4, 11, 4, 98638, tzinfo=datetime.timezone.utc), message_type='function_return', function_return='{\\n \"status\": \"OK\",\\n \"message\": \"None\",\\n \"time\": \"2024-11-06 08:11:04 PM PST-0800\"\\n}', status='success', function_call_id='call_LtMblVxNr2FVPiCJicAtaji9')], usage=LettaUsageStatistics(completion_tokens=50, prompt_tokens=2399, total_tokens=2449, step_count=1))"
|
||||
"LettaResponse(messages=[InternalMonologue(id='message-8c8ab238-a43e-4509-b7ad-699e9a47ed44', date=datetime.datetime(2024, 11, 14, 1, 52, 14, 780419, tzinfo=datetime.timezone.utc), message_type='internal_monologue', internal_monologue='New user logged in. Excited to get started!'), FunctionCallMessage(id='message-8c8ab238-a43e-4509-b7ad-699e9a47ed44', date=datetime.datetime(2024, 11, 14, 1, 52, 14, 780419, tzinfo=datetime.timezone.utc), message_type='function_call', function_call=FunctionCall(name='send_message', arguments='{\\n \"message\": \"Welcome! I\\'m thrilled to have you here. Let’s dive into what you need today!\"\\n}', function_call_id='call_2OIz7t3oiGsUlhtSneeDslkj')), FunctionReturn(id='message-26c3b7a3-51c8-47ae-938d-a3ed26e42357', date=datetime.datetime(2024, 11, 14, 1, 52, 14, 781455, tzinfo=datetime.timezone.utc), message_type='function_return', function_return='{\\n \"status\": \"OK\",\\n \"message\": \"None\",\\n \"time\": \"2024-11-13 05:52:14 PM PST-0800\"\\n}', status='success', function_call_id='call_2OIz7t3oiGsUlhtSneeDslkj')], usage=LettaUsageStatistics(completion_tokens=48, prompt_tokens=2398, total_tokens=2446, step_count=1))"
|
||||
]
|
||||
},
|
||||
"execution_count": 27,
|
||||
@@ -862,25 +858,6 @@
|
||||
"source": [
|
||||
"client.delete_agent(recruiter_agent.id)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 30,
|
||||
"id": "b2dfe638-4785-431d-8a0c-91f8dab66747",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"for agent in client.list_agents(): \n",
|
||||
" client.delete_agent(agent.id)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "9cfb4b3e-4b39-4936-862d-8bd7ac357f4a",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
|
||||
Reference in New Issue
Block a user