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