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LLM-powered multiagent persona simulation for imagination enhancement and business insights.

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Hello, I would like to suggest two features that could be added to the system: API Cost Calculation and Statistics: It would be very helpful to integrate an API cost...

Hi, This pull request fixes spelling and grammatical errors. To see why the changes were made, you can review the errors at https://app.gitsense.com/microsoft/TinyTroupe?doc=9bc627061868f3b574a8389e5492b37a38d1b140e990225f3adea8ff53c7aafe&samples=3.

I'd like to run it locally. Thanks in advance,

enhancement
nice to have

`llmaindex_openai_embed_model` should be `llamaindex_openai_embed_model`. https://github.com/microsoft/TinyTroupe/blob/7ae16568ad1c4dea1381eda9dc8e0c3ff812d7a2/tinytroupe/agent.py#L62

Hello, I noticed the following example in the code: ```python " - Might pretend to be a hard-core woke, but in reality that's just a facade to climb the corporate...

responsible ai

Hey this looks real interesting. Using [create_ad_for_appartment](https://github.com/microsoft/TinyTroupe/blob/main/examples/create_ad_for_appartment.ipynb) as an example, what would be the benefit of using this tool over just chucking those same prompts into an GPT? Skimming through,...

https://github.com/search?q=%22.env.example%22&type=repositories

variable typo llmaindex_openai_embed_model changed it to llamaindex_openai_embed_model(TINYTROUPE/tinytroupe/agent.py line 62 and 63) **llamaindex_openai_embed_model** = OpenAIEmbedding(model=default["embedding_model"], embed_batch_size=10) Settings.embed_model = **llamaindex_openai_embed_model**