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  # BusyBeaver-50M
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  BusyBeaver-50M is a compact agent-policy model for strict JSON tool-call prediction. It is not a general chatbot. It takes a compact agent state, task goal, recent observations, and available tool schemas, then predicts exactly one next tool call for a local agent harness.
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  This repository is the canonical packaging of the internally tracked V10 checkpoint 200 run.
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  model.eval()
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  ```
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  ## Safety
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  BusyBeaver-50M predicts tool calls; it does not execute them. Production harnesses should:
 
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  # BusyBeaver-50M
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+ ![BusyBeaver](busybeaver.jpeg)
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  BusyBeaver-50M is a compact agent-policy model for strict JSON tool-call prediction. It is not a general chatbot. It takes a compact agent state, task goal, recent observations, and available tool schemas, then predicts exactly one next tool call for a local agent harness.
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  This repository is the canonical packaging of the internally tracked V10 checkpoint 200 run.
 
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  model.eval()
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  ```
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+ ## Harness Integration
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+ BusyBeaver can be exposed to normal agent harnesses through the included OpenAI-compatible adapter server. The model still emits only strict JSON tool-policy objects; it should be used as a tool-call policy helper, not as the main chat model.
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+ ```bash
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+ python scripts/busybeaver_openai_server.py \
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+ --model GestaltLabs/BusyBeaver-50M \
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+ --host 127.0.0.1 \
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+ --port 8765
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+ ```
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+ Use `http://127.0.0.1:8765/v1` as the OpenAI-compatible base URL and `BusyBeaver-50M` as the model id. Native support in engines such as llama.cpp, vLLM, or Ollama requires either a BusyBeaver architecture adapter or a future export to a standard runtime format.
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  ## Safety
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  BusyBeaver-50M predicts tool calls; it does not execute them. Production harnesses should: