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@ -7,12 +7,28 @@ An [100-line](minillmflow/__init__.py) minimalist LLM framework for [agents](htt
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- Install via ```pip install minillmflow```, or just copy the [source codes](minillmflow/__init__.py) (only 100 lines)
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- Install via ```pip install minillmflow```, or just copy the [source codes](minillmflow/__init__.py) (only 100 lines)
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- **Pro tip:** Build LLM apps with LLMs assistants (ChatGPT, Claude, Cursor.ai, etc.)
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- **💡 Pro tip!!** Build LLM apps with LLMs assistants (ChatGPT, Claude, Cursor.ai, etc.)
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- **Claude (preferred):** Create a project, dump the [docs](docs), and ask it to write LLM workflow!
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- **Claude (Sonnet 3.5 strongly recommended!):**
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- Create a project and dump the [docs](docs)
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- Set project instruction. For example:
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```
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1. check "tool.md" and "llm.md" for the required functions.
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2. design the high-level (batch) flow and nodes.
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3. design the shared memory structure: define its fields, data structures, and how they will be updated.
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Think out aloud first for above first and ask users your design makes sense.
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4. Finally, implement. Start with simple, minimalistic codes without, for example, typing.
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```
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- Ask it to build LLM application!
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- **ChatGPT:** Check out [GPT assistant](https://chatgpt.com/g/g-677464af36588191b9eba4901946557b-mini-llm-flow-assistant)
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- **ChatGPT:** Check out [GPT assistant](https://chatgpt.com/g/g-677464af36588191b9eba4901946557b-mini-llm-flow-assistant)
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- GPT store seems to use older models. It's good at explaining but bad at coding.
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- Alternatively, send the [docs](docs) to newer models like O1 for coding.
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Documentation: https://minillmflow.github.io/miniLLMFlow/
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Documentation: https://minillmflow.github.io/miniLLMFlow/
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## Why Mini LLM Flow?
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## Why Mini LLM Flow?
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