Local-first CLI for agent and human document retrieval with provenance-grounded answers, local vector-store, and predictable machine-readable output.
Why docctl
- Optimized for agentic retrieval loops with fast multi-step questions and answers.
- Runs locally with a persistent Chroma-backed index.
- Ingests
.pdf,.docx,.txt, and.mdwith provenance metadata (doc_id,source,title). - Uses sentence-aware chunking for better retrieval quality.
- Supports deterministic
--jsonoutput for automation and agents. - Exposes stable CLI workflows for ingest, search, diagnostics, and inventory.
Agent Integration
Use SKILL.md when you want an agent to drive docctl end-to-end.
The skill makes session for fast iterative retrieval.
Quickstart
Requirements:
- Python 3.12 or 3.13
pip
# 1) Install from PyPI
pip install docctl
# 2) Verify CLI
docctl --help
# 3) Ingest supported files
docctl ingest ./docs --recursive --approve-write --allow-model-download
# 4) Search indexed content
docctl search "security gateway diagnostics" --top-k 5 --allow-model-download
# 5) Show one chunk by id (replace with an id from search output)
docctl show <chunk_id_from_search> --allow-model-download
Command Overview
| Command | Purpose |
|---|---|
docctl ingest <path> |
Ingest one supported file or a directory of supported files (mutates local index state). |
docctl export <archive_path> |
Export current index data to one .zip snapshot file. |
docctl import <archive_path> |
Import index data from one .zip snapshot file (mutating). |
docctl search <query> |
Search indexed content with optional metadata filters. |
docctl show <chunk_id> |
Show one indexed chunk by exact id. |
docctl stats |
Show index statistics. |
docctl catalog |
Show index summary and per-document inventory. |
docctl doctor |
Run local diagnostics for index and embedding setup. |
docctl session |
Run a read-only NDJSON request session on stdin/stdout. |
JSON and Session Mode
Use --json for deterministic machine-readable output:
docctl --json search "security gateway diagnostics" --top-k 5 --allow-model-download
Use session for NDJSON request/response flows. For agents, this is the preferred fast path whenever one workflow needs two or more read operations:
cat <<'EOF' | docctl session --allow-model-download
{"id":"q1","op":"search","query":"security gateway diagnostics","top_k":5}
{"id":"q2","op":"catalog"}
EOF
Configuration
Global options:
--index-path(default:.docctl)--collection(default:default)--json(deterministic JSON payloads on stdout)--verbose(extra diagnostics)
Model downloads are explicit:
- Use
--allow-model-downloadwhen embedding artifacts are not already available.
Mutation boundaries:
ingestandimportare mutating.search,show,stats,catalog,doctor, andsessionare read-only.exportis read-only.
Development
Run core quality checks:
make lint
make format-check
make typecheck
make security-lint
make import-lint
make test
make test-cov
make check-markdown-links
Apply formatting fixes:
make format
Build release artifacts locally:
make build-dist
make check-dist
make release-dry-run
Documentation Map
- ARCHITECTURE.md
- docs/design-docs/index.md
- docs/product-specs/index.md
- docs/references/index.md
- SECURITY.md (canonical vulnerability disclosure policy)
- docs/RELIABILITY.md
- docs/SECURITY.md (internal implementation security guardrails)
- docs/PLANS.md
Contributing
For implementation and validation workflow, start with:
- AGENTS.md
- ARCHITECTURE.md
- The indexed docs under
docs/listed above.
Metadata
Release files for docctl 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| docctl-0.3.1.tar.gz | 34.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| docctl-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 75.7 kB
Release files / docctl-0.3.1.tar.gz
| Download URL | docctl-0.3.1.tar.gz |
|---|---|
| Size | 34.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-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/3.13.7
|
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 Mar 26, 2026.
Transparency logRelease files / docctl-0.3.1-py3-none-any.whl
| Download URL | docctl-0.3.1-py3-none-any.whl |
|---|---|
| Size | 40.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6f344d05cfa9e04ee23804afcd0b3df6ec5e684f6e5502aa3a93bfda5d928c6f
|
|
BLAKE2b-256 checksum How to use checksums |
3fbd5aa21ae94fcdcacd1bf9ad061e2a8571d0bd2503251d4e9299d8c9225e6d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Mar 26, 2026.
Transparency log