From 3c3d7e649f9570fc234cca8948c5c323598294e9 Mon Sep 17 00:00:00 2001 From: Christian Nennemann Date: Wed, 4 Mar 2026 02:20:39 +0100 Subject: [PATCH] Add ASCII art figures to all 6 generated Internet-Drafts Each draft gets 2 illustrative figures: - ABVP: architecture components + verification workflow - ATD: example DAG structure + execution state transitions - HITL: primitive framework overview + approval workflow sequence - AEM/PPALP: federated learning architecture + aggregation flow - RARP: cross-domain architecture + two-phase rollback protocol - APAE: layered architecture + cross-domain provenance tracking Co-Authored-By: Claude Opus 4.6 --- ...gent-behavior-verification-protocol-00.txt | 32 +++++++++++++ .../draft-ai-agent-learning-protocol-00.txt | 40 ++++++++++++++++ ...gent-provenance-assurance-ecosystem-00.txt | 35 ++++++++++++++ .../draft-ai-agent-rollback-protocol-00.txt | 46 +++++++++++++++++++ .../draft-ai-agent-task-a-00.txt | 39 ++++++++++++++++ .../draft-ai-primitives-for-00.txt | 44 ++++++++++++++++++ 6 files changed, 236 insertions(+) diff --git a/data/reports/generated-drafts/draft-ai-agent-behavior-verification-protocol-00.txt b/data/reports/generated-drafts/draft-ai-agent-behavior-verification-protocol-00.txt index 5713e2c..67652cc 100644 --- a/data/reports/generated-drafts/draft-ai-agent-behavior-verification-protocol-00.txt +++ b/data/reports/generated-drafts/draft-ai-agent-behavior-verification-protocol-00.txt @@ -299,6 +299,21 @@ Table of Contents with existing agent authentication and authorization frameworks as defined in [RFC6749] and referenced in [draft-aylward-aiga-1]. + +----------+ +--------------+ +-------------+ + | | | Behavior | | | + | Agent |--->| Attestation |--->| Verification| + | | | Engine | | Registry | + +----------+ +------+-------+ +------+------+ + | | + v v + +------+-------+ +------+------+ + | Behavior | | Trust | + | Traces | | Anchor | + | (signed) | | Management | + +--------------+ +-------------+ + + Figure 1: ABVP Architecture Components + The Behavior Attestation Engine (BAE) serves as the core component responsible for capturing agent behavior traces and generating cryptographic attestations. Each BAE MUST maintain a secure @@ -511,6 +526,23 @@ Table of Contents existing authorization frameworks while providing the behavioral assurance layer necessary for autonomous agent operations. + Agent BAE Registry Verifier + | | | | + |--action-->| | | + | |--trace------>| | + | |--attest----->| | + | | | | + | | |<--query-----| + | | |---proof---->| + | | | |--eval + | | | | + | | | [batch] | + | | |<--audit-----| + | | |---report--->| + | | | | + + Figure 2: Real-time Verification Workflow + Real-time verification workflows enable immediate assessment of agent behavior during active operations. When an agent initiates actions that require behavioral validation, the Behavior diff --git a/data/reports/generated-drafts/draft-ai-agent-learning-protocol-00.txt b/data/reports/generated-drafts/draft-ai-agent-learning-protocol-00.txt index 9f79f76..efbce9d 100644 --- a/data/reports/generated-drafts/draft-ai-agent-learning-protocol-00.txt +++ b/data/reports/generated-drafts/draft-ai-agent-learning-protocol-00.txt @@ -337,6 +337,29 @@ Table of Contents architectural levels to provide defense-in-depth protection against information leakage. + Tenant A Tenant B Tenant C + +--------+ +--------+ +--------+ + | Agent | | Agent | | Agent | + | Local | | Local | | Local | + | Model | | Model | | Model | + +---+----+ +---+----+ +---+----+ + | | | + v v v + +---+----+ +---+----+ +---+----+ + | DP | | DP | | DP | + | Noise | | Noise | | Noise | + +---+----+ +---+----+ +---+----+ + | | | + +-------+-------+-------+------+ + | | + +----+-----+ +----+------+ + | Secure | | Privacy | + | Aggre- | | Compliance| + | gation | | Verifier | + +----------+ +-----------+ + + Figure 1: PPALP Federated Learning Architecture + The PPALP architecture defines four primary component roles that collectively ensure privacy-preserving federated learning operations. The Federated Coordinator serves as the central @@ -471,6 +494,23 @@ Table of Contents computational efficiency suitable for practical federated learning deployments. + Agent_i Aggregator Verifier + | | | + |--local grad--->| | + | + DP noise | | + | | | + | [...N agents contribute...] | + | | | + | |--aggregate---->| + | | model update | + | | | + | |<--ZK proof-----| + | | compliance | + |<--global upd---| | + | | | + + Figure 2: Privacy-Preserving Aggregation Flow + The Multi-Tenant Federated Averaging mechanism serves as the foundation for secure parameter aggregation. Each tenant's Privacy Compliance Verifier MUST encrypt their differentially-private diff --git a/data/reports/generated-drafts/draft-ai-agent-provenance-assurance-ecosystem-00.txt b/data/reports/generated-drafts/draft-ai-agent-provenance-assurance-ecosystem-00.txt index 5f6fb5b..fd04b25 100644 --- a/data/reports/generated-drafts/draft-ai-agent-provenance-assurance-ecosystem-00.txt +++ b/data/reports/generated-drafts/draft-ai-agent-provenance-assurance-ecosystem-00.txt @@ -370,6 +370,28 @@ Table of Contents to implement provenance assurance incrementally without disrupting existing agent ecosystems. + +------------------------------------------------+ + | Provenance Query Layer | + | (cross-domain search, history retrieval) | + +------------------------------------------------+ + | Cross-Domain Tracking Layer | + | (gateway coordination, chain linking) | + +------------------------------------------------+ + | Operational Audit Layer | + | (action logging, decision trails) | + +------------------------------------------------+ + | Capability Verification Layer | + | (skill attestation, scope validation) | + +------------------------------------------------+ + | Identity Attestation Layer | + | (agent ID, key management, TEE binding) | + +------------------------------------------------+ + | Trust Infrastructure Layer | + | (PKI, trust anchors, revocation) | + +------------------------------------------------+ + + Figure 1: APAE Layered Architecture + The Identity Attestation Layer serves as the foundational trust anchor for the APAE framework, establishing and maintaining verifiable agent identities throughout their operational @@ -683,6 +705,19 @@ Table of Contents established protocols and standards while extending them with agent-specific provenance metadata and verification mechanisms. + Origin Org Gateway Target Org + +----------+ +---------+ +----------+ + | Agent | |Provnce | | Verifier | + | Registry |--->| Bridge |--->| Registry | + +----+-----+ +----+----+ +----+-----+ + | | | + +----+-----+ +----+----+ +----+-----+ + |Provenance| | Chain | |Provenance| + | Record |--->| Linker |--->| Record | + +----------+ +---------+ +----------+ + + Figure 2: Cross-Domain Provenance Tracking + Integration with OAuth 2.0 and OpenID Connect ecosystems follows the Agent Authorization Profile (AAP) [draft-aap-oauth-profile] extension pattern. Existing OAuth 2.0 authorization servers can be diff --git a/data/reports/generated-drafts/draft-ai-agent-rollback-protocol-00.txt b/data/reports/generated-drafts/draft-ai-agent-rollback-protocol-00.txt index 8bd9d4a..457e9fb 100644 --- a/data/reports/generated-drafts/draft-ai-agent-rollback-protocol-00.txt +++ b/data/reports/generated-drafts/draft-ai-agent-rollback-protocol-00.txt @@ -319,6 +319,30 @@ Table of Contents gateway-intercomm-framework] to provide cross-domain rollback coordination capabilities. + Domain A Domain B + +---------------------+ +---------------------+ + | +------+ +------+ | | +------+ +------+ | + | |Agt 1 | |Agt 2 | | | |Agt 3 | |Agt 4 | | + | +--+---+ +--+---+ | | +--+---+ +--+---+ | + | | | | | | | | + | +--+---------+----+ | | +--+---------+----+ | + | |Checkpoint Manager| | | |Checkpoint Manager| | + | +--------+---------+ | | +--------+---------+ | + | | | | | | + | +--------+---------+ | | +--------+---------+ | + | |Rollback Coordintr| | | |Rollback Coordintr| | + | +--------+---------+ | | +--------+---------+ | + +----------|------------+ +----------|------------+ + | | + +----------+ +--------------+ + | | + +----+--+----+ + | Agent | + | Gateway | + +------------+ + + Figure 1: RARP Cross-Domain Architecture + The core RARP architecture consists of three primary component types: Rollback Coordinators, Checkpoint Managers, and Agent Rollback Interfaces. Rollback Coordinators serve as the @@ -461,6 +485,28 @@ Table of Contents to validate the rollback request against their local checkpoint metadata. + Coordinator Agent A Agent B Agent C + | | | | + |--PREPARE---->| | | + |--PREPARE---------------->| | + |--PREPARE------------------------------>| + | | | | + |<--READY------| | | + |<--READY------------------| | + |<--READY---------------------------------| + | | | | + |--COMMIT----->| | | + |--COMMIT----------------->| | + |--COMMIT------------------------------->| + | | | | + | (rollback) | (rollback) | (rollback) | + | | | | + |<--DONE-------| | | + |<--DONE-------------------| | + |<--DONE---------------------------------| + + Figure 2: Two-Phase Coordinated Rollback + The coordination messaging framework builds upon the Cross-Domain Agent Collaboration Protocol [draft-han-rtgwg-agent-gateway- intercomm-framework] to enable rollback operations across diff --git a/data/reports/generated-drafts/draft-ai-agent-task-a-00.txt b/data/reports/generated-drafts/draft-ai-agent-task-a-00.txt index f7e2eef..450d185 100644 --- a/data/reports/generated-drafts/draft-ai-agent-task-a-00.txt +++ b/data/reports/generated-drafts/draft-ai-agent-task-a-00.txt @@ -310,6 +310,33 @@ Table of Contents execution parameters that govern how the workflow should be processed. + +-----------+ + | Task A | + | (ingest) | + +-----+-----+ + / \ + / \ + v v + +---------+ +---------+ + | Task B | | Task C | + | (parse) | |(enrich) | + +----+----+ +----+----+ + \ / + \ / + v v + +-----------+ + | Task D | + | (merge) | + +-----+-----+ + | + v + +-----------+ + | Task E | + | (report) | + +-----------+ + + Figure 1: Example Agent Task DAG Structure + Task nodes within the DAG represent atomic units of work that can be executed by autonomous agents. Each task node MUST specify its execution requirements, including required agent capabilities, @@ -386,6 +413,18 @@ Table of Contents alternate execution paths depending on the configured failure handling policies. + +---------+ deps met +-------+ assign +----------+ + | Pending |----------->| Ready |--------->|Executing | + +---------+ +---+---+ +----+--+--+ + | | | + | skip fail| |ok + v v v + +--------+ +------+--+---+ + |Skipped | |Failed|Compl.| + +--------+ +------+------+ + + Figure 2: Task Node Execution State Transitions + Integration with existing agent protocols occurs through standardized interfaces that abstract the underlying communication mechanisms. The framework MUST support protocol-agnostic bindings diff --git a/data/reports/generated-drafts/draft-ai-primitives-for-00.txt b/data/reports/generated-drafts/draft-ai-primitives-for-00.txt index 2edb7ce..dbd9df9 100644 --- a/data/reports/generated-drafts/draft-ai-primitives-for-00.txt +++ b/data/reports/generated-drafts/draft-ai-primitives-for-00.txt @@ -308,6 +308,32 @@ Table of Contents these primitives to be composed into comprehensive oversight systems tailored to specific operational requirements. + +-----------------------+ + | AI Agent Decision | + | Loop | + +-----------+-----------+ + | + v + +-----------+-----------+ + | Decision Point | + | Evaluator | + +-----------+-----------+ + / | \ + / | \ + v v v + +------+ +------+ +---------+ + |Appro-| |Over- | |Explain- | + | val | |ride | |ability | + +--+---+ +--+---+ +----+----+ + | | | + v v v + +--+--------+-----+ +-+--------+ + | Human Operator | | Audit | + | Interface | | Log | + +------------------+ +---------+ + + Figure 1: HITL Primitive Framework Overview + At the architectural level, HITL primitives integrate with agent systems through well-defined decision points where human intervention may be required. These decision points are identified @@ -355,6 +381,24 @@ Table of Contents preserving operational efficiency through selective intervention points. + Agent HITL Middleware Human Operator + | | | + |--action----->| | + | request |--approval req---->| + | | +context, risk | + | | | + | |<---approve/deny---| + | | +auth token | + |<--result-----| | + | proceed | | + | or halt | | + | | | + | [timeout] | | + |<--fallback---| | + | | | + + Figure 2: Approval Workflow Sequence + The core approval request structure MUST include the proposed action description, associated risk assessment, relevant context for human evaluation, and expected execution timeline. Each