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Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
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- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
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https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
57 lines
1.5 KiB
Markdown
57 lines
1.5 KiB
Markdown
# API Reference: BGP RPKI Validation Agent
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## Dependencies
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| Library | Version | Purpose |
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|---------|---------|---------|
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| requests | >=2.28 | HTTP client for RIPEstat and Cloudflare RPKI APIs |
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## CLI Usage
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```bash
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python scripts/agent.py \
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--asn AS13335 \
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--prefixes 1.1.1.0/24 104.16.0.0/12 \
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--output-dir /reports/ \
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--output rpki_report.json
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```
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## Functions
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### `validate_prefix_rpki(prefix) -> dict`
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Queries RIPEstat `/rpki-validation/data.json` for RPKI status (valid/invalid/unknown).
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### `get_roas_for_asn(asn) -> list`
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Queries Cloudflare RPKI `/api/v1/roas` for Route Origin Authorizations.
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### `get_prefix_overview(prefix) -> dict`
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Queries RIPEstat `/prefix-overview/data.json` for routing overview.
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### `check_rpki_adoption(asn) -> dict`
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Compares announced prefixes against ROA coverage to calculate adoption percentage.
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### `validate_multiple_prefixes(prefixes) -> list`
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Batch validates prefixes against RPKI.
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### `generate_report(asn, prefixes) -> dict`
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Full report with adoption metrics, per-prefix validation, and recommendations.
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## APIs Used
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| API | Endpoint |
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|-----|----------|
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| RIPEstat | `stat.ripe.net/data/rpki-validation/data.json` |
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| RIPEstat | `stat.ripe.net/data/announced-prefixes/data.json` |
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| Cloudflare RPKI | `rpki.cloudflare.com/api/v1/roas` |
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## Output Schema
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```json
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{
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"asn": "AS13335",
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"adoption": {"announced_prefixes": 500, "roa_covered": 498, "coverage_pct": 99.6},
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"prefix_validation": [{"prefix": "1.1.1.0/24", "status": "valid"}],
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"recommendations": ["Create ROAs for 2 uncovered prefixes"]
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}
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```
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