Help needed – “advertisement_for_tv.ipynb” fails with Error: 'stream'

[juanfcastropiccolo]

Hi everyone! I’m really enjoying TinyTroupe, but I’ve run into a problem when running the advertisement_for_tv.ipynb notebook in JupyterLab and would appreciate any guidance.

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Error log

2025-04-25 23:20:12,486 - tinytroupe - ERROR - [1] Error: 'stream'
2025-04-25 23:20:14,502 - tinytroupe - ERROR - [2] Error: 'stream'
2025-04-25 23:20:16,518 - tinytroupe - ERROR - [3] Error: 'stream'
2025-04-25 23:20:18,533 - tinytroupe - ERROR - [4] Error: 'stream'
2025-04-25 23:20:20,547 - tinytroupe - ERROR - [5] Error: 'stream'
2025-04-25 23:20:20,548 - tinytroupe - ERROR - Failed to get response after 5.0 attempts.

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What I’ve tried so far

1. API key verification

   • Confirmed my OpenAI key works via Postman.
   • Exported it as an environment variable.

2. Explicitly setting the key in the notebook

   import json, sys, os
   sys.path.insert(0, '..')
   
   import tinytroupe
   from tinytroupe.agent import TinyPerson
   from tinytroupe.examples import create_lisa_the_data_scientist, create_oscar_the_architect
   from tinytroupe.factory import TinyPersonFactory
   from tinytroupe.extraction import ResultsExtractor
   
   os.environ["OPENAI_KEY"] = "MY_API_KEY"  # ← key confirmed valid

Despite this, the same 'stream' error appears after five retries.

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Environment

• TinyTroupe version: 0.4.6
• Python version: 3.x
• JupyterLab: running locally
• Operating system: macOS (Apple Silicon)

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Has anyone encountered this Error: 'stream' message or can point me toward a fix? Any help is greatly appreciated—thanks in advance!

[juanfcastropiccolo]

Fixed myself :p

I didn't set my OpenAI API Key as an environment variable extrictly on step 4:

4. Make sure you have either Azure OpenAI or OpenAI API keys set as environment variables, as described in the Pre-requisites section.

5. Use pip to install the library directly from this repository (we will not install from PyPI):

pip install git+https://github.com/microsoft/TinyTroupe.git@main

Lesson learned 👍