Enum AgentCommands 

pub enum AgentCommands {
    Capabilities,
    LogTraining(LogTrainingArgs),
    WriteEvent(WriteEventArgs),
    WriteCorrection(WriteCorrectionArgs),
    LogTurn(LogTurnArgs),
    LoggingBootstrap {
        intent: Option<String>,
    },
    Context {
        exercise_limit: Option<u32>,
        strength_limit: Option<u32>,
        custom_limit: Option<u32>,
        task_intent: Option<String>,
        include_system: Option<bool>,
        budget_tokens: Option<u32>,
    },
    SectionIndex {
        exercise_limit: Option<u32>,
        strength_limit: Option<u32>,
        custom_limit: Option<u32>,
        task_intent: Option<String>,
        include_system: Option<bool>,
        budget_tokens: Option<u32>,
    },
    SectionFetch {
        section: String,
        limit: Option<u32>,
        cursor: Option<String>,
        fields: Option<String>,
        task_intent: Option<String>,
    },
    AnswerAdmissibility {
        task_intent: String,
        draft_answer: String,
    },
    WriteWithProof(WriteWithProofArgs),
    Evidence {
        command: AgentEvidenceCommands,
    },
    SetSaveConfirmationMode {
        mode: SaveConfirmationMode,
    },
    ResolveVisualization(ResolveVisualizationArgs),
    Request(AgentRequestArgs),
}

Variants

Capabilities

Get negotiated agent capabilities manifest

LogTraining(LogTrainingArgs)

Write one routine workout payload through the isolated vNext training route

WriteEvent(WriteEventArgs)

Write canonical non-training events through the isolated vNext event route

WriteCorrection(WriteCorrectionArgs)

Retract or retract-and-replace canonical events through the isolated vNext correction route

LogTurn(LogTurnArgs)

Legacy raw user-turn ingress on /v3/agent/evidence; not part of the vNext write harness

LoggingBootstrap

Get the focused logging bootstrap contract or one intent-native logging recipe

Fields

intent: Option<String>

Optional intent recipe id (for example: log_conversation)

Context

Get agent context bundle (system + user profile + key dimensions)

Fields

exercise_limit: Option<u32>

Max exercise_progression projections to include (default: 5)

strength_limit: Option<u32>

Max strength_inference projections to include (default: 5)

custom_limit: Option<u32>

Max custom projections to include (default: 10)

task_intent: Option<String>

Optional task intent used for context ranking (e.g. “dunk progression”)

include_system: Option<bool>

Include deployment-static system config in response payload (default: API default=true)

budget_tokens: Option<u32>

Optional response token budget hint (min 400, max 12000)

SectionIndex

Get deterministic section index for startup + targeted follow-up reads

Fields

exercise_limit: Option<u32>

Max exercise_progression projections to include (default: 5)

strength_limit: Option<u32>

Max strength_inference projections to include (default: 5)

custom_limit: Option<u32>

Max custom projections to include (default: 10)

task_intent: Option<String>

Optional task intent used for startup section derivation

include_system: Option<bool>

Include deployment-static system config in response payload (default: API default=true)

budget_tokens: Option<u32>

Optional response token budget hint (min 400, max 12000)

SectionFetch

Fetch exactly one context section (optionally paged and field-projected)

Fields

section: String

Stable section id from section-index

limit: Option<u32>

Optional page size for paged sections (1..200)

cursor: Option<String>

Optional opaque cursor for paged sections

fields: Option<String>

Optional comma-separated top-level fields to project

task_intent: Option<String>

Optional task intent for startup section derivation

AnswerAdmissibility

Validate a draft answer against the authoritative date-bound coaching serving view

Fields

task_intent: String

Current user request, preferably passed verbatim

draft_answer: String

Draft user-facing answer to validate

WriteWithProof(WriteWithProofArgs)

Legacy structured write surface for repairs and old agent flows

Evidence

Evidence lineage operations

Fields

command: AgentEvidenceCommands

SetSaveConfirmationMode

Set user save-confirmation preference (persist-intent override)

Fields

mode: SaveConfirmationMode

auto | always | never

ResolveVisualization(ResolveVisualizationArgs)

Resolve visualization policy/output for a task intent

Request(AgentRequestArgs)

Direct agent API access under /v1/agent/*

Trait Implementations

impl FromArgMatches for AgentCommands

fn from_arg_matches(__clap_arg_matches: &ArgMatches) -> Result<Self, Error>

Instantiate Self from ArgMatches, parsing the arguments as needed.

fn from_arg_matches_mut( __clap_arg_matches: &mut ArgMatches, ) -> Result<Self, Error>

Instantiate Self from ArgMatches, parsing the arguments as needed.

fn update_from_arg_matches( &mut self, __clap_arg_matches: &ArgMatches, ) -> Result<(), Error>

Assign values from ArgMatches to self.

fn update_from_arg_matches_mut<'b>( &mut self, __clap_arg_matches: &mut ArgMatches, ) -> Result<(), Error>

Assign values from ArgMatches to self.

impl Subcommand for AgentCommands

fn augment_subcommands<'b>(__clap_app: Command) -> Command

Append to Command so it can instantiate Self via FromArgMatches::from_arg_matches_mut

fn augment_subcommands_for_update<'b>(__clap_app: Command) -> Command

Append to Command so it can instantiate self via FromArgMatches::update_from_arg_matches_mut

fn has_subcommand(__clap_name: &str) -> bool

Test whether Self can parse a specific subcommand