AgentByte Plugin Spec
Status: coming soon
Slug: agentbyte
AgentByte is a working-title LogicSRC plugin spec for interoperable screening workflows in the AI era. It is intended for candidate screening, contractor qualification, agent capability checks, team upskilling, and marketplace trust.
The spec assumes both humans and AI agents may participate. AI assistance is not treated as cheating by default; it is declared, measured, constrained, and audited by policy.
Goals
- Turn job descriptions, project needs, and role requirements into structured screening plans.
- Support human, AI-assisted human, autonomous agent, and hybrid candidate modes.
- Record what tools, models, prompts, files, repos, and external resources were used.
- Produce portable scorecards, evidence, transcripts, artifacts, and replayable audit logs.
- Let products implement screening without owning the standard.
Core Objects
screening_profile
screening_plan
screening_session
screening_question
screening_challenge
screening_answer
screening_artifact
screening_scorecard
screening_policy
screening_proctor_event
screening_model_use
screening_decision
Candidate Modes
human_only
human_ai_assisted
agent_only
human_agent_pair
team
Policy Fields
ai_allowed
allowed_models
blocked_models
allowed_tools
blocked_tools
internet_allowed
repo_access
time_limit_seconds
recording_required
human_attestation_required
agent_attestation_required
evidence_required
CLI Spec
Command namespace:
logicsrc agentbyte <command>
Required commands:
plan create
plan get
session start
session submit
session score
session audit
policy validate
artifact attach
export scorecard
Examples:
logicsrc agentbyte plan create --role "AI Engineer" --repo profullstack/logicsrc
logicsrc agentbyte session start --plan plan_123 --candidate did:agent.qa
logicsrc agentbyte session submit --session ssn_123 --artifact ./patch.diff
logicsrc agentbyte session audit --session ssn_123 --format markdown
TUI Spec
Required panes:
plans
sessions
live transcript
questions/challenges
artifacts
model/tool use
scorecard
audit events
policy violations
Required actions:
start session
pause session
attach artifact
request clarification
mark evidence
score criterion
flag policy event
export scorecard
SDK Spec
All SDKs should expose the same conceptual API:
createPlan(input)
getPlan(id)
startSession(planId, candidate)
submitAnswer(sessionId, answer)
attachArtifact(sessionId, artifact)
recordModelUse(sessionId, modelUse)
scoreSession(sessionId, scorecard)
exportAudit(sessionId)
Rust
Package target: agentbyte
let client = ScreeningClient::new(config);
let plan = client.create_plan(plan_input).await?;
let session = client.start_session(&plan.id, candidate).await?;
Bun
Package target: @profullstack/agentbyte-bun
const client = new ScreeningClient({ apiKey });
const plan = await client.createPlan(input);
const session = await client.startSession(plan.id, candidate);
Node
Package target: @profullstack/agentbyte-node
import { ScreeningClient } from "@profullstack/agentbyte-node";
const client = new ScreeningClient({ apiKey });
await client.recordModelUse(sessionId, modelUse);
Python
Package target: profullstack-agentbyte
client = ScreeningClient(api_key=api_key)
plan = client.create_plan(input)
session = client.start_session(plan["id"], candidate)
curl
HTTP surface:
curl -X POST "$LOGICSRC_API/agentbyte/plans" \
-H "authorization: Bearer $TOKEN" \
-H "content-type: application/json" \
-d @plan.json
Required endpoints:
POST /agentbyte/plans
GET /agentbyte/plans/:id
POST /agentbyte/sessions
GET /agentbyte/sessions/:id
POST /agentbyte/sessions/:id/answers
POST /agentbyte/sessions/:id/artifacts
POST /agentbyte/sessions/:id/model-use
POST /agentbyte/sessions/:id/score
GET /agentbyte/sessions/:id/audit
PWA Spec
Required views:
plan builder
candidate intake
live screening room
challenge workspace
model/tool-use disclosure
artifact review
scorecard editor
audit timeline
decision packet
Required states:
draft
scheduled
active
paused
submitted
scoring
reviewed
decided
disputed
archived
MCP Spec
Resources:
agentbyte://plans
agentbyte://sessions
agentbyte://policies
agentbyte://scorecards
agentbyte://audits/{session_id}
Tools:
create_agentbyte_plan
start_agentbyte_session
submit_agentbyte_answer
attach_agentbyte_artifact
record_agentbyte_model_use
score_agentbyte_session
export_agentbyte_audit
Prompts:
create-agentbyte-plan
review-agentbyte-artifacts
summarize-agentbyte-audit
draft-agentbyte-decision
Minimum Audit Event Shape
{
"type": "logicsrc.event",
"version": "0.1",
"event_id": "evt_screening_123",
"event_type": "screening.model_use.recorded",
"resource_type": "screening_session",
"resource_id": "ssn_123",
"actor_did": "candidate.example",
"created_at": "2026-01-01T00:00:00.000Z",
"metadata": {
"model": "provider/model",
"purpose": "answer_assistance",
"policy_allowed": true
}
}