Skip to content

Runtime foundation — trace one Litestar/PostgreSQL task into Graph #152

Open

Description

@zenithruneblade

Outcome

Anshuk can explain and reproduce one host-side task path, with PostgreSQL custody of its result and human feedback/correction. This gives the pair a reliable backend foundation and preserves useful evidence for later evaluation and explicitly admitted training.

Primary: Anshuk (@geeked-anshuk666)
Partner: Nav (@NavSrijan) — shared Linux host work, agentic request/result design and independent reproduction.
Shared outcome: #131. Capability owners: #18, #8, #20, #29.

First result

  • Pin one source revision and supported configuration/profile. Trace Litestar admission → required PostgreSQL state/transactions → native workflow/Graph → retained result. Identify the owner of each transition and distinguish process availability, application readiness and authority to execute.
  • Reproduce one representative database-backed behavior and one relevant failure/lifecycle case. State what persists after interruption/restart, what remains unknown, and which parts are substituted or unavailable.
  • Agree the request/result envelope with Nav and Enter — design an Altar task people can inspect and steer #132: caller, operation/inputs, task and revision identity, execution destination, audience and success/refusal/unavailable/unknown outcomes.
  • Inspect the merged Tether Add native Tether lifecycle with named isolated attachments #151 and current source/evidence before selecting networking/lifecycle work. Explain how it relates to VPN / Tether — one private peer & explicit route #20 and the chosen PC topology; coordinate any review or reproduction with its existing author. A tunnel does not provide application admission or replace the founder's sovereign-peer versus same-Lich decision.
  • Review the foundation explanation and any proposed contract change with the partner/founder. Record one reusable implementation pattern and one bounded next repair or implementation; give another developer enough steps to reproduce it.

Start through CONTRIBUTING and the current State of Work. Follow current owners rather than reconstructing an entire subsystem.

First concrete persistence scene

Use the database-backed behavior and failure case above for one public/synthetic task → exact result/candidate → attributed human assessment or correction → restart → retained lookup. This is the concrete focus of this existing main task, not a second parallel assignment.

  • Identify the existing Domain/Composition records, repository/schema, migration and transaction boundaries. Include request/Run identity, relevant input/source references, exact candidate/revision, observed result, attributed human action and its relation to the original. Retain only the permitted content/reference under the selected profile; do not invent a universal logging table.
  • Preserve the original evidence. For an actual edited artifact, retain exact before/after revisions and their explicit relation through that artifact's owner; an assessment record alone does not implement arbitrary artifact editing. Keep feedback about quality separate from authorization to perform an effect and from evidence that the effect completed.
  • Restart the application under the selected PostgreSQL profile and retrieve the result and linked feedback. Verify identical retry is idempotent, changed/stale references refuse, and unauthorized access refuses. State what the observed process/restart test proves and what remains unsupported.
  • Record retention/deletion/correction behavior and remaining gaps, including how a later derived example would trace back to the exact sources, candidate and human input. Evaluation or training needs its own eligibility, permission/exclusion and dataset/split decision; it is not activated by storing this evidence.

Start with the existing Creation feedback PostgreSQL store and focused PostgreSQL vertical as a concrete reference for retained candidates, attributed assessments and owner dispositions. Confirm the selected revision/profile and reproduce what exists before proposing another schema; that reference does not deliver a general editing pipeline.

Partners: Nav traces the API/execution and failure/cleanup path; Chirayu/Kiran define the visible edit/assessment and saved/reloaded states through #132. Anshuk leads durable custody and schema/transaction fit, while each Domain/Composition keeps the meaning of its records. ADR 06, #23 (artifacts), #26 (effect consent), #30 (memory admission) and #34/#62 (later training) keep their distinct acceptance.

Scope

This is Anshuk's backend main quest. VPN/Tether #20 is a side quest coordinated with its current owner; Atelier #162 with Nav is recorded in #62, and Anshuk may advise #155 on framework reuse. Privacy/anonymization questions follow #25 and #62 as part of the selected backend seam, not an additional broad assignment.

Linux binding, CLI, recovery and rollback are growth directions selected through real cases. This task does not assign all of #18/#20, rebuild #151 or qualify a lifecycle by passing planner tests. Existing full acceptance stays with those issues.

Agentic and SDLC connection

Anshuk leads the pair's PostgreSQL/backend foundation; Nav partners on the same request-to-result passage. Their agentic and SDLC work grows from this evidence, including the intended exact Scroll/task passage over the selected private route. Discuss what the receiver may execute, the pinned identity and inputs/result audience, and loss/restart behavior; separate #29's portable Scroll/Resolution Lock work from #19 peer semantics and #20 reachability. A VPN does not deliver that application contract.

The founder is the main SDLC designer in #40. Anshuk can help a later selected missing-capability inquiry in #153 with runtime/host constraints; it is not required before the basic execution and durable-feedback passage. Pair discussions come first; use #133 to teach the general flow and reproduce one step with Chirayu/Kiran. No whole-workflow implementation deadline is introduced.

Working method

Understand the existing foundations and review any proposed shared-contract changes before multiplying implementations. Use coding agents for investigation, bounded prototypes, implementation and independent challenge. A small prototype can run alongside design and inform it; it must identify fixtures and assumptions. After the representative path and its reusable pattern are understood, build quickly within those boundaries.

The primary coordinates this result; the partner helps design, reviews the explanation and reproduces the example. Others may contribute or propose a different approach. The author reviews the full generated diff. Founder architecture/code approval and CONTRIBUTING remain in force. Bring one concise evidence packet: demo/trace, changed contracts, failure observations, checks and the next decision.

Checkpoint: the next shared planning/demo after the first reproduction. This is one bounded foundation result, not completion of the larger linked capabilities. Keep at most one review-ready implementation slice per pair awaiting the founder.

Metadata

Metadata

Labels

area:hostCLI, layout, host services, binding and installation lifecycle.area:runtimeAgents, Graph, dispatch, orchestration, capabilities and workers.

Type

No type

Projects

No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions