167 lines
9.3 KiB
YAML
167 lines
9.3 KiB
YAML
# Recl∆Im module store index — source of truth before publish.
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#
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# Target host (chain Studio's one-click "Recl∆Im hinzufügen" button
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# points here): https://releases.chain.flemming.ai/reclaim/store.yaml
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#
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# STATUS (2026-06-19). Per chain: publish UNSIGNED for now —
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# `require_signatures` is off by default; FAI_SIGNING_KEY untouched;
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# a Recl∆Im-own signing key + per-store pinning come later.
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# * sha256 — REAL, from local `chain pack` of each module.
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# Bundles staged in store/bundles/, hashes mirrored
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# in store/SHA256.txt. Bundles are UNSIGNED.
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# * signature — intentionally absent for now (see above).
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# * wasm_url — points at the intended mirror path. The ONLY
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# remaining step is HOSTING the 8 .fai + this
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# store.yaml at releases.chain.flemming.ai/reclaim/
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# — the mirror push is chain infra (scp to the
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# Hetzner host); reclaim has no SSH access. Confirm
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# the canonical wasm_url host (mirror vs Forgejo
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# release) with chain.
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#
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# NAMING NOTE for chain: every module's `provides.capability` uses an
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# UNDERSCORE (`econ.skm_score`), but this index + the Studio button use
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# the DASH form (`econ.skm-score`) per the handoff. install resolution
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# must map dash↔underscore, or the modules must be renamed. Flagging —
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# this is a chain naming-convention decision.
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schema_version: 1
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modules:
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- name: text.akoma-normalize
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versions:
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- version: 0.1.0
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status: published
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wasm_url: https://releases.chain.flemming.ai/reclaim/text-akoma-normalize/v0.1.0/text-akoma-normalize-0.1.0.fai
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sha256: 15fa6d43bf6d18193282cb1c94c273b958e2639d91d52120eaedd83a99571765
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tagline:
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en: "Normalize legal documents to Akoma Ntoso"
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de: "Rechtsdokumente nach Akoma Ntoso normalisieren"
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description:
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en: "Normalises heterogeneous legal sources (gesetze-im-internet XML, EUR-Lex FORMEX, landesrecht-berlin HTML) into a structured Akoma Ntoso 1.0 (OASIS LegalDocML) representation."
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de: "Normalisiert heterogene Rechtsquellen (gesetze-im-internet-XML, EUR-Lex-FORMEX, landesrecht-berlin-HTML) in eine strukturierte Akoma-Ntoso-1.0-Darstellung (OASIS LegalDocML)."
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category: text-processing
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tags: [legal, german, akoma-ntoso, offline-capable]
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license: Apache-2.0
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repository: https://git.flemming.ai/chain-modules/text-akoma-normalize
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- name: text.deontic-extract
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versions:
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- version: 0.1.0
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status: published
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wasm_url: https://releases.chain.flemming.ai/reclaim/text-deontic-extract/v0.1.0/text-deontic-extract-0.1.0.fai
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sha256: d03d3dc2bfbaa413ea4e192c6147595e21d8dafd24b5d32b853a03a38e48100d
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tagline:
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en: "Extract duties, prohibitions and permissions from norms"
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de: "Pflichten, Verbote und Erlaubnisse aus Normen extrahieren"
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description:
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en: "Extracts atomic deontic statements (obligation / prohibition / permission) from a normalised norm. Useful far beyond law — contracts, ISO standards, internal policies."
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de: "Extrahiert atomare deontische Aussagen (Pflicht / Verbot / Erlaubnis) aus einer normalisierten Norm. Auch jenseits des Rechts nützlich — Verträge, ISO-Normen, interne Richtlinien."
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category: text-processing
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tags: [legal, german, nlp, offline-capable]
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license: Apache-2.0
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repository: https://git.flemming.ai/chain-modules/text-deontic-extract
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- name: graph.citation-extract
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versions:
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- version: 0.1.0
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status: published
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wasm_url: https://releases.chain.flemming.ai/reclaim/graph-citation-extract/v0.1.0/graph-citation-extract-0.1.0.fai
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sha256: 9bebd3dc877da9e3c89b521572000f14f007c6a9edfcc350edd44377d68acba3
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tagline:
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en: "Build typed citation graphs from legal text"
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de: "Typisierte Zitationsgraphen aus Rechtstext bauen"
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description:
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en: "Extracts typed citations (cites, verweist_iVm, …) from German legal text per the Coupette 2021 schema. Citation graphs also fit scientific papers, patents and case law."
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de: "Extrahiert typisierte Zitationen (cites, verweist_iVm, …) aus deutschem Rechtstext nach dem Coupette-2021-Schema. Zitationsgraphen passen auch zu Papers, Patenten und Rechtsprechung."
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category: data
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tags: [legal, german, graph, offline-capable]
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license: Apache-2.0
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repository: https://git.flemming.ai/chain-modules/graph-citation-extract
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- name: text.readability-score
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versions:
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- version: 0.1.0
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status: published
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wasm_url: https://releases.chain.flemming.ai/reclaim/text-readability-score/v0.1.0/text-readability-score-0.1.0.fai
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sha256: 5f1a0098bc4c3be8d20b34d848af884b539b0eda3c59ab56dfe99bf8f811090d
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tagline:
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en: "Composite readability and complexity score"
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de: "Komposit-Score für Lesbarkeit und Komplexität"
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description:
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en: "Composite readability score for any text — DE-adapted Flesch + reference depth + verb distance. Flags hard-to-read government letters, terms & conditions, abstracts."
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de: "Komposit-Lesbarkeitsscore für beliebige Texte — DE-adaptierter Flesch + Verweistiefe + Verbdistanz. Markiert schwer lesbare Behördenbriefe, AGB und Abstracts."
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category: text-processing
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tags: [german, readability, analytics, offline-capable]
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license: Apache-2.0
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repository: https://git.flemming.ai/chain-modules/text-readability-score
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- name: stats.cohort-size
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versions:
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- version: 0.1.0
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status: published
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wasm_url: https://releases.chain.flemming.ai/reclaim/stats-cohort-size/v0.1.0/stats-cohort-size-0.1.0.fai
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sha256: 31d35f6a7b61b9249520e3ae02fa398292375555430714b04ff0771fd2f3ad99
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tagline:
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en: "Resolve addressee cohort sizes"
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de: "Größe von Adressaten-Kohorten ermitteln"
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description:
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en: "Resolves the size of an addressee cohort (e.g. 'Berlin SMEs by WZ code'). v0.1 ships a stub table for the pilot cohorts; v0.2 adds a DESTATIS GENESIS-API adapter."
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de: "Ermittelt die Größe einer Adressaten-Kohorte (z. B. 'Berliner KMU nach WZ-Code'). v0.1 mit Stub-Tabelle für die Pilot-Kohorten; v0.2 mit DESTATIS-GENESIS-API-Adapter."
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category: data
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tags: [statistics, german, government, offline-capable]
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license: Apache-2.0
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repository: https://git.flemming.ai/chain-modules/stats-cohort-size
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- name: graph.shapley-attribution
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versions:
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- version: 0.1.0
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status: published
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wasm_url: https://releases.chain.flemming.ai/reclaim/graph-shapley-attribution/v0.1.0/graph-shapley-attribution-0.1.0.fai
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sha256: 199927a6b8594da579a22d42b1ba438f4b2b6c90132a5c097c7c1d5eb8b9c319
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tagline:
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en: "Shapley-style attribution on weighted graphs"
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de: "Shapley-Attribution auf gewichteten Graphen"
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description:
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en: "Splits a target node's blame or credit among its ancestors on a weighted norm/citation graph. v0.1 proportional fallback; v0.2 full Shapley value for ≤32-node neighbourhoods."
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de: "Verteilt 'Schuld' oder 'Verdienst' eines Zielknotens auf seine Vorgänger in einem gewichteten Norm-/Zitationsgraphen. v0.1 proportional; v0.2 voller Shapley-Wert für ≤32-Knoten-Nachbarschaften."
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category: data
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tags: [graph, analytics, attribution, offline-capable]
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license: Apache-2.0
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repository: https://git.flemming.ai/chain-modules/graph-shapley-attribution
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- name: econ.skm-score
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versions:
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- version: 0.1.0
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status: published
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wasm_url: https://releases.chain.flemming.ai/reclaim/econ-skm-score/v0.1.0/econ-skm-score-0.1.0.fai
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sha256: d77afa476d4b34c22153af36c4ed3d2a0fab4c5a0dc53cba5eb217a622cd7181
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tagline:
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en: "Standard Cost Model (SKM) bureaucracy cost"
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de: "Standardkostenmodell (SKM) — Bürokratiekosten"
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description:
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en: "Standard Cost Model — P×F×T×h per duty, summed across a duty list (German NKR method). The EU- and OECD-recognised methodology for bureaucracy-cost measurement, used by NL ATR, UK RPC, EU REFIT."
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de: "Standardkostenmodell — P×F×T×h je Pflicht, summiert über eine Pflichtenliste (NKR-Methode). EU- und OECD-anerkannte Methodik zur Bürokratiekostenmessung, genutzt von NL ATR, UK RPC, EU REFIT."
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category: data
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tags: [economics, legal, government, offline-capable]
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license: Apache-2.0
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repository: https://git.flemming.ai/chain-modules/econ-skm-score
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- name: law.benefit-score
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versions:
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- version: 0.1.0
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status: published
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wasm_url: https://releases.chain.flemming.ai/reclaim/law-benefit-score/v0.1.0/law-benefit-score-0.1.0.fai
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sha256: 4a82a07ba72cae4b49f1ff883b1ca92638e5f4ea19bc2b070288142056764025
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tagline:
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en: "7-dimensional regulatory benefit score"
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de: "7-dimensionaler Nutzen-Score für Regulierung"
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description:
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en: "Seven-dimensional benefit score (protection / market / legal-certainty / EU-single-market / safety / environment / revenue), each 0–5. Domain-bound: the dimensions are legally-politically conventioned."
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de: "Siebendimensionaler Nutzen-Score (Schutz / Markt / Rechtssicherheit / EU-Binnenmarkt / Sicherheit / Umwelt / Einnahmen), je 0–5. Domänengebunden: die Dimensionen sind juristisch-politisch konventioniert."
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category: data
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tags: [legal, german, policy, offline-capable]
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license: Apache-2.0
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repository: https://git.flemming.ai/chain-modules/law-benefit-score
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services: []
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flows: []
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