This release is a pre-release and may not be stable for production use.
ReproSieve
ReproSieve turns one failed agent trace into a smaller, redacted, deterministic capsule that preserves the failure condition expressed by your predicate.
Important: ReproSieve preserves what the predicate recognizes. A weak or overly broad predicate can preserve the wrong failure.
Status: ReproSieve 0.1.0a4 is an experimental technical alpha. Use synthetic or disposable inputs, inspect capsules before sharing, and treat embedded predicates as arbitrary Python.
Try the complete package-owned synthetic demonstration:
python -m pip install reprosieve==0.1.0a4
reprosieve demo
It needs only the core package: no OpenAI extra, API key, agent application, or network access. It reduces the synthetic 247-event fixture, independently verifies 1-minimality, materializes retained recorded values, exports an offline predicate reproduction, and executes that export.
ReproSieve captures one supported OpenAI Agents SDK trace, removes configured secrets before persistence, replaces model and tool calls with recorded outputs, and reduces the trace against an executable failure predicate. The result is a hash-addressed capsule with an independent 1-minimality proof.
Feedback boundary: Do not submit real traces, credentials, private source, personal data, or confidential capsules. Submit synthetic/disposable reproductions or a prose description of the unsupported failure shape.
Supported path
- Python 3.11, 3.12, and 3.13.
openai-agents>=0.18.3,<0.19; CI tests 0.18.3.- One completed SDK trace captured through the public
TracingProcessorAPI. - Embedded Python predicates. ReproSieve invokes them with a direct argument vector, a clean temporary directory, provider keys removed, bounded time/output/process resources, and Python audit hooks that deny outbound network, child processes, native loading, and host-file access. These controls are defense in depth, not an OS sandbox; embedded predicates are arbitrary code.
- Deterministic recorded-output materialization and offline predicate reproduction. These paths reconstruct retained values and execute only the declared predicate; they do not rerun application or orchestration code.
Support matrix
| Surface | Supported |
|---|---|
| Python | 3.11, 3.12, 3.13 |
| Capture SDK | openai-agents>=0.18.3,<0.19 |
| Standalone reproduction | Linux and macOS |
| Input safety claim | Synthetic or disposable data only |
Install capture support:
python -m pip install "reprosieve[openai]"
Workflow
The predicate script is arbitrary capsule-provided Python and is not sandboxed.
It must be included in the capsule, and every command that can execute or export
it requires --trust-embedded-predicate. --predicate must be the final option
because everything after it is an argument vector.
reprosieve capture \
--output failed.reprosieve \
--workspace-root . \
--include verify_failure.py \
-- python app.py
reprosieve reduce failed.reprosieve \
--output-dir reduced \
--trust-embedded-predicate \
--predicate python verify_failure.py
reprosieve materialize reduced/<sha256>.reprosieve \
--output materialized.json
reprosieve reproduce-predicate reduced/<sha256>.reprosieve \
--trust-embedded-predicate \
--predicate python verify_failure.py
reprosieve verify-minimal reduced/<sha256>.reprosieve \
--trust-embedded-predicate \
--predicate python verify_failure.py
reprosieve export reduced/<sha256>.reprosieve \
--trust-embedded-predicate \
--output issue-repro
cd issue-repro
python reproduce.py --trust-embedded-predicate
Exported reproductions refuse to execute without that explicit flag. Use it only after inspecting and accepting the embedded Python predicate as arbitrary code running with your user account's permissions.
materialize writes recorded values as deterministic JSON.
reproduce-predicate evaluates the embedded predicate in a fresh constrained
directory and reports every trial. Neither command is application replay.
The pre-0.1 minimize and replay names remain warning aliases for reduce
and materialize. They may be removed before 0.2.
Application replay is not part of the 0.1 CLI or promise. Experimental 0.5
library work now has one OpenAI Agents SDK adapter that re-executes an explicit
application callback through injected public Model and FunctionTool
interfaces. It enforces ordered exact matching and measured canaries, but
remains synthetic-only and is not a 0.5 readiness claim. See
the application-replay boundary.
Predicate exit codes are strict:
0: target failure reproduced.1: target failure absent.2: candidate or harness invalid.- timeout, signal, cancellation, output overflow, unexpected exit, or missing predicate file: invalid.
Invalid is never treated as absent and is never accepted as a reduction.
Zero-setup synthetic demo
The installed package includes a synthetic 247-event mechanical fixture:
reprosieve demo
The demo accepts no external capsule, predicate, command, or executable.
Therefore, unlike commands that consume user-controlled capsules, it does not
require --trust-embedded-predicate. To retain the source capsule, reduced
capsule and report, materialized JSON, standalone export, and summary JSON, pass
a path that does not already exist:
reprosieve demo --output-dir reprosieve-demo-output
Without --output-dir, the temporary workspace is cleaned automatically. The
demo never overwrites an existing path.
Reproducible proof
The repository release gate runs the same installed CLI demo through its historical source entry point:
python scripts/killer_demo.py
The release gate requires this command to finish within 20 seconds. “1-minimal” means deleting any remaining declared unit makes the failure absent or the candidate structurally invalid. It does not mean globally smallest.
Two additional copy-paste checks:
python -m scripts.verify
python -m scripts.final_release_gate
The first runs tests, lint, typing, and contract self-tests. The second runs the
current exact-head security, secrets, killer-demo, and minimality checks from a
clean Git state. The immutable contract-v2 release gate remains historical
evidence, as documented in RELEASING.md.
Scope and comparison
ReproSieve is not a trace viewer, observability backend, VM sandbox, or general record/replay system. Existing record/replay tools preserve executions; ReproSieve adds dependency-aware reduction, redaction before its own persistence, strict tri-state predicates, and an independently checked 1-minimality claim for one recorded agent trajectory. It does not diagnose root cause, rerun application logic, or replay live model semantics.
Privacy boundary
ReproSieve redacts SDK payloads in memory before its own first write. Capture
replaces the SDK default exporter unless --retain-sdk-exporter is explicitly
passed. Captured target stdout and stderr are discarded because they may contain
secrets. Exact canaries, bounded regexes, allow paths, deny paths, declared
workspace files, and environment allowlists are available on capture.
Arbitrary personal data cannot be detected reliably. Inspect every capsule before publishing it. See the privacy contract and security review.
Development
python -m pip install -e ".[dev]"
python -m pytest
python -m ruff check .
python -m mypy
python -m build
python scripts/security_check.py
python scripts/killer_demo.py
Apache-2.0 licensed.
See SUPPORT.md for supported combinations and CONTRIBUTING.md before opening a change. Maturity levels are defined in ROADMAP.md; real-case evidence status is tracked in docs/case-studies.
Release files for reprosieve 0.1.0a4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| reprosieve-0.1.0a4.tar.gz | 58.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| reprosieve-0.1.0a4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 125.5 kB
Release files / reprosieve-0.1.0a4.tar.gz
| Download URL | reprosieve-0.1.0a4.tar.gz |
|---|---|
| Size | 58.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / reprosieve-0.1.0a4-py3-none-any.whl
| Download URL | reprosieve-0.1.0a4-py3-none-any.whl |
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| Size | 67.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 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 Jul 28, 2026.
Transparency log