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updated README and directory name
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zyzhang1130 committed Nov 20, 2024
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Expand Up @@ -24,7 +24,9 @@ By orchestrating these agents, the system can handle complex tasks that require

These models are tested in this example. For other models, some modifications may be needed.

- **Anthropic Claude** (`claude-3-5-sonnet-20240620`) accessed via the `litellm` package configuration.
- **Anthropic Claude:** `claude-3-5-sonnet-20240620`, `claude-3-5-sonnet-20241022`, `claude-3-5-haiku-20241022` (accessed via the `litellm` package configuration).
- **OpenAI:** `GPT4-o`, `GPT4-o-mini`.
- **DashScope:** `qwen-max`, `qwen-max-1201`.

## Prerequisites

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## Examples

This section demonstrates the pipeline's effectiveness on two different complex tasks.
This section demonstrates the pipeline's effectiveness on two different complex tasks. For your own task, replace `"Your task description here."` with your task in `input_task` in `di_multiagent.py` script.

### Task 1: Mathematical Problem Solving

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