# Third-party notices

doc2harness evaluates coding-agent products. This file records the upstream work
it builds on and relates to. It is an attribution record, not a license grant —
see `LICENSE` for this project's own terms.

## mini-swe-agent

MIT License, Copyright (c) 2025 Kilian A. Lieret and Carlos E. Jimenez
https://mini-swe-agent.com/ · https://github.com/SWE-agent/mini-swe-agent

stage1 asks a model to build a harness product by implementing a hollowed
skeleton. That skeleton derives from mini-swe-agent's project layout.

Scope of what is redistributed here: **no mini-swe-agent source code is vendored
in this repository.** The skeleton at `src/stage1/f0_clean/` is a few small
files of contract sockets that raise `NotImplementedError`; it carries no upstream
implementation, and neither image installs mini-swe-agent. A product a builder
derives from mini-swe-agent remains subject to the MIT license above — anyone
distributing such a product needs to carry that notice with it.

Note for product builders: the stage1 build prompt instructs the model to
present the product under its own name and to suppress the upstream startup
banner. That is an evaluation-fidelity measure (the benchmark observes the
product's own declared behaviour), not an attempt to obscure provenance. It does
not remove the MIT attribution obligation, which this notice discharges for the
benchmark and which a product's own distribution must discharge for itself.

## OpenCode

https://opencode.ai/

The builder image installs the OpenCode CLI binary, which drives the model
during a stage1 build. It is installed from upstream at image build time under
its own license; this repository redistributes no OpenCode code. The published
builder image does contain the binary — consult OpenCode's terms before
redistributing that image.

## LiteLLM

https://github.com/BerriAI/LiteLLM

Used at runtime as the model gateway. It is a runtime dependency supplied by the
operator, is not a dependency of the published wheel, and no LiteLLM code is
redistributed here.