agentic-bq
Agent-safe BigQuery client with guardrails, cost controls, and tool wrappers for agentic AI.
Why
When LLM agents query BigQuery, you want:
- parameterized queries (no string concat)
- enforced LIMIT
- denylist protection (DROP/DELETE/etc.)
- dry-run cost checks (bytes processed)
- agent-friendly JSON results
Install
pip install agentic-bq
1 maintainer
Metadata
1 maintainer
Release files for agentic-bq 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| agentic_bq-0.1.0.tar.gz | 4.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agentic_bq-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.5 kB
Release files / agentic_bq-0.1.0.tar.gz
| Download URL | agentic_bq-0.1.0.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.9.6
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Release files / agentic_bq-0.1.0-py3-none-any.whl
| Download URL | agentic_bq-0.1.0-py3-none-any.whl |
|---|---|
| Size | 6.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
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Security for agentic-bq 0.1.0
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