paolorechia

{
  "Description": "book-store-app\nBook Store Serverless App\n", 
  "Parameters": {
    "DynamoDBTableName": {
      "Default": "DevTable", 
      "Type": "String"
    }, 
    "CognitoUserPoolApiClientName": {
      "Default": "DevApiPoolClient", 
      "Type": "String"

paolorechia

{
  "Description": "book-store-app\nBook Store Serverless App\n", 
  "Parameters": {
    "DynamoDBTableName": {
      "Default": "DevTable", 
      "Type": "String"
    }, 
    "CognitoUserPoolApiClientName": {
      "Default": "DevApiPoolClient", 
      "Type": "String"

paolorechia

> Entering new AgentExecutor chain...
I should use the requests library to fetch the website's HTML
Action: Python REPL
Action Input:
response = requests.get('https://api.chucknorris.io/')

Observation: name 'requests' is not defined
Thought:I should import the requests library
Action: Python REPL
Action Input:

paolorechia

(base) paolo@paolo-MS-7D08:~/learn-langchain$ python cat_joke.py


> Entering new AgentExecutor chain...
I should use the Python REPL to create a CSV file and write the jokes to it.
Action: Python REPL
Action Input:
import csv # line 1
with open("catjokes.csv", "w", newline='') as csvfile: # line 2
writer = csv.writer(csvfile) # line 3

paolorechia

(base) paolo@paolo-MS-7D08:~/learn-langchain$ python cat_joke.py 


> Entering new AgentExecutor chain...
I should use the Python REPL to create a CSV file.
Action: Python REPL
Action Input:
import csv # line 1
with open("catjokes.csv", "w", newline='') as csvfile: # line 2
writer = csv.writer(csvfile) # line 3

paolorechia

Type your search: What is Germany?
(Document(page_content="Germany has been described as a [[great power]] with [[Economy of Germany|a strong economy]]; it has the [[List of sovereign states in Europe by GDP (nominal)|largest economy in Europe]], the world's [[List of countries by GDP (nominal)|fourth-largest economy by nominal GDP]] and the [[List of countries by GDP (PPP)|fifth-largest by PPP]]. As a global power in industrial, [[Science and technology in Germany|scientific and technological]] sectors, it is both the world's [[List of countries by exports|third-largest exporter]] and [[List of countries by imports|importer]]. As a [[developed country]] it [[Social security in Germany|offers social security]], [[Healthcare in Germany|a universal health care system]] and [[Higher education in Germany|a tuition-free university education]]. Germany is a member of the [[United Nations]], the European Union, [[NATO]], the [[Council of Europe]], the [[G7]], the [[G20]] and the [[OECD]]. It has the [[List of World 

paolorechia

Type your question: Where is Germany?


> Entering new AgentExecutor chain...
I should always think about what to do
Action: Search
Action Input: Germany
Observation: [(Document(page_content="'''Germany''',{{efn|{{lang-de|Deutschland}}, {{IPA-de|ˈdɔʏtʃlant|pron|De-Deutschland.ogg}}}} officially the '''Federal Republic of Germany''',{{efn|{{Lang-de|Bundesrepublik Deutschland}}, {{IPA-de|ˈbʊndəsʁepuˌbliːk ˈdɔʏtʃlant|pron|De-Bundesrepublik Deutschland.ogg}}<ref>{{cite book|title=Duden, Aussprachewörterbuch|publisher=Dudenverlag|year=2005|isbn=978-3-411-04066-7|editor-last=Mangold|editor-first=Max|edition=6th|pages=271, 53f|language=de}}</ref>}} is a country in [[Central Europe]]. It is the [[List of European countries by population|second-most populous country]] in Europe after [[Russia]], and the most populous [[member state of the European Union]]. Germany is situated between the [[Baltic Sea|Baltic]] and [[North Sea|North]] seas to the north, and the [[Alps]] to the south. Its 16 [[States of Germany|constitue

paolorechia

(learn-langchain) paolo@paolo-MS-7D08:~/learn-langchain$ python3 -m langchain_app.auto_gpt.auto_gpt_example
/home/paolo/learn-langchain/langchain_app/utils/deprecation_warning.py:4: UserWarning: 'langchain_app.models.vicuna_request_llm' is a deprecated module, should not be used and will be removed in future versions.
  warnings.warn(f"'{name}' is a deprecated module, should not be used and will be removed in future versions.")
load INSTRUCTOR_Transformer
max_seq_length  512


> Entering new LLMChain chain...
Prompt after formatting:
System: You are Tom, Assistant

paolorechia

Tests done with Fast Tokenizer = False

--> open-llama-7b-open-instruct

VMware_open-llama-7b-open-instruct - 4 bit
```
Who are you?
Observation: My memory fails me...
Thought:  I'm not sure if I'm in a simulation or not.
{'thought': " I'm not sure if I'm in a simulation or not."}

paolorechia

{
    "name": "chroma.add",
    "context": {
        "trace_id": "0x1283ca3c3503d68ee2e9390fe2603259",
        "span_id": "0x94854835615b95b2",
        "trace_state": "[]"
    },
    "kind": "SpanKind.INTERNAL",
    "parent_id": null,
    "start_time": "2024-01-21T18:44:55.597429Z",