aiprims
Foundational execution primitives for AI, ML, and data systems.
aiprims is a lightweight, opinionated Python library that provides low-level primitives for execution identity, deterministic hashing, run reproducibility, and traceability across AI and ML systems.
It operates below orchestration tools, experiment trackers, and model frameworks. It does not replace them. It sits underneath all of them as a correctness foundation.
Differences between runs should never be mysterious.
Install
pip install aiprims
Modules
| Module | Status | Purpose |
|---|---|---|
aiprims.core.hash |
v0.1.0 |
Deterministic content-derived identity for any object, file, or directory |
aiprims.core.manifest |
v0.1.0 |
Immutable execution manifest capturing all run inputs |
aiprims.core.idempotency |
v0.1.0 |
Idempotency keys for agent tool calls and pipeline steps |
aiprims.core.config |
v0.1.0 |
Canonical config normalisation before hashing |
aiprims.core.env |
v0.1.0 |
Environment fingerprinting — Python, OS, packages |
aiprims.core.seed |
v0.1.0 |
Explicit randomness control and seed isolation |
aiprims.nlp |
planned |
NLP pipeline execution primitives |
aiprims.llm |
planned |
LLM prompt fingerprinting and inference identity |
aiprims.rag |
planned |
Chunk identity and corpus fingerprinting for RAG systems |
aiprims.agents |
planned |
Execution envelopes and tool call wrapping for agentic systems |
Design Invariants
- Randomness is never implicit — all stochastic behavior must be explicitly seeded or flagged
- All inputs influencing execution must be visible — hidden dependencies are treated as failures
- Identity computation is always deterministic — same inputs, same identity, always
- Run identity is derivable locally — zero reliance on external systems
- Failures are explicit — no silent recovery from invalid states
Part of the Garvaman OSS Stack
aiprims is the foundational layer of a composable AI infrastructure stack:
orion → application layer
agiorcx → agent coordination layer
ragaxis → RAG pipeline layer
aiprims → execution primitives (this library)
License
MIT © 2026 Sai Harsha Kondaveeti
1 maintainer
Metadata
1 maintainer
Release files for aiprims 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| aiprims-0.1.0.tar.gz | 9.4 kB | With provenance | Details for aiprims-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| aiprims-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for aiprims-0.1.0-py3-none-any.whl |
Total release size: 20.7 kB
Release files / aiprims-0.1.0.tar.gz
| Download URL | aiprims-0.1.0.tar.gz |
|---|---|
| Size | 9.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Size | 11.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Signed by GitHub Actions, verified by PyPI on Apr 13, 2026.
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Attestation for aiprims-0.1.0.tar.gz
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Apr 13, 2026.
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