introspection-harbor
Harbor installed-agent adapter for local Introspection Recipes. Install it
through introspection setup --target harbor, then run a task through:
introspection eval run --runner harbor --path evals/refund-task
Select an inherited Recipe agent variant by its declared YAML name:
introspection eval run --runner harbor --path evals/refund-task --agent agent2
For example, agents/agent2.yaml can declare name: agent2 and from: agent,
then override only its model, tools, extensions, or other variant settings.
The selected agent YAML is the only source of the evaluated model; the CLI and
adapter do not apply a separate model override.
The CLI selects the Recipe and optional canonical replay context. The adapter
copies that opaque context into Harbor's environment and forwards its path to
introspection local, which creates the temporary native Pi session immediately
before Pi starts. The adapter writes both native Pi events and
trajectory.json (ATIF) under the agent log directory. Recipe execution
preserves the Harbor task image's WORKDIR; the staged Recipe source is
selected separately and does not replace the task's working directory.
Metadata
Release files for introspection-harbor 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| introspection_harbor-0.2.0.tar.gz | 9.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| introspection_harbor-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.8 kB
Release files / introspection_harbor-0.2.0.tar.gz
| Download URL | introspection_harbor-0.2.0.tar.gz |
|---|---|
| Size | 9.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / introspection_harbor-0.2.0-py3-none-any.whl
| Download URL | introspection_harbor-0.2.0-py3-none-any.whl |
|---|---|
| Size | 6.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
7fe423032bff1e1b7ed6e70880486fee60db54dea06a3825da7a676c4e3e05b0
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 18, 2026.
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