feat(acms): add context request protocol models #190

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opened 2026-02-22 23:39:58 +00:00 by freemo · 5 comments

freemo commented 2026-02-22 23:39:58 +00:00

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• Commit Message: feat(acms): add context request protocol models
• Branch: feature/m6-acms-crp-models

Background

ContextRequest, ContextFragment, DetailLevel, and ContextBudget models are defined with validation. A built-in builtin/context skill provides tools request_context, query_history, and get_context_budget (stubbed to ACMS). ContextRequest includes fields for focus, breadth, depth, strategy, temporal_scope, and skeleton_ratio.

Acceptance Criteria

• Add ContextRequest, ContextFragment, DetailLevel, and ContextBudget models with validation.
• Add built-in builtin/context skill with tools request_context, query_history, and get_context_budget (stubbed to ACMS).
• Add ContextRequest fields for focus, breadth, depth, strategy, temporal_scope, and skeleton_ratio with defaulting rules.
• Add ContextFragment metadata (uko_uri, provenance, relevance_score, token_count, detail_level) and enforce token_count >= 0.
• Add DetailLevelMap registry with name->integer resolution and inheritance support.

Definition of Done

This issue is complete when:

• All subtasks below are completed and checked off.
• A Git commit is created where the first line of the commit message matches
  the Commit Message in Metadata exactly, followed by a blank line, then
  additional lines providing relevant details about the implementation. The
  commit body should be appropriate in size for a commit message and relatively
  complete in describing what was done.
• The commit is pushed to the remote on the branch matching the Branch in
  Metadata exactly.
• The commit is submitted as a pull request to master, reviewed, and
  merged before this issue is marked done.

Subtasks

• Add ContextRequest, ContextFragment, DetailLevel, and ContextBudget models with validation.
• Add built-in builtin/context skill with tools request_context, query_history, and get_context_budget (stubbed to ACMS).
• Add ContextRequest fields for focus, breadth, depth, strategy, temporal_scope, and skeleton_ratio with defaulting rules.
• Add ContextFragment metadata (uko_uri, provenance, relevance_score, token_count, detail_level) and enforce token_count >= 0.
• Add DetailLevelMap registry with name->integer resolution and inheritance support.
• Add ContextRequest validation for invalid depth names and unknown strategies.
• Add docs/reference/crp.md with request fields, detail levels, and examples.
• Document DetailLevelMap resolution rules and defaults.
• Tests (Behave): Add features/crp_models.feature for validation and serialization ordering.
• Tests (Robot): Add robot/crp_models.robot smoke tests.
• Tests (ASV): Add benchmarks/crp_model_bench.py for validation throughput.
• Verify coverage >=97% via nox -s coverage_report. If coverage is <97% then review the current unit test coverage report at build/coverage.xml and use it to write new Behave based unit tests to improve code coverage. Specifically, write Behave style unit tests that are descriptively named and specifically improves coverage on whichever file has the most uncovered lines by writing tests that will target the uncovered lines in the report. Once that is done rerun nox -s coverage_report to verify all tests pass and coverage is above >=97%. Only mark this as complete once coverage is >=97%, if not repeat this task as many times as is needed until coverage reaches >=97%.
• Run nox (all default sessions, including benchmark), fix any errors if needed ensuring nox passes across entire code base, do not ignore any failure even if it seems unrelated to this commit, fix it.

Section: #### M5: ACMS v1 + Context Scaling (Day 26)
Status: Open

## Metadata - **Commit Message**: `feat(acms): add context request protocol models` - **Branch**: `feature/m6-acms-crp-models` ## Background `ContextRequest`, `ContextFragment`, `DetailLevel`, and `ContextBudget` models are defined with validation. A built-in `builtin/context` skill provides tools `request_context`, `query_history`, and `get_context_budget` (stubbed to ACMS). ContextRequest includes fields for focus, breadth, depth, strategy, temporal_scope, and skeleton_ratio. ## Acceptance Criteria - [x] Add `ContextRequest`, `ContextFragment`, `DetailLevel`, and `ContextBudget` models with validation. - [x] Add built-in `builtin/context` skill with tools `request_context`, `query_history`, and `get_context_budget` (stubbed to ACMS). - [x] Add `ContextRequest` fields for `focus`, `breadth`, `depth`, `strategy`, `temporal_scope`, and `skeleton_ratio` with defaulting rules. - [x] Add `ContextFragment` metadata (uko_uri, provenance, relevance_score, token_count, detail_level) and enforce token_count >= 0. - [x] Add `DetailLevelMap` registry with name->integer resolution and inheritance support. ## Definition of Done This issue is complete when: - All subtasks below are completed and checked off. - A Git commit is created where the **first line** of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional lines providing relevant details about the implementation. The commit body should be appropriate in size for a commit message and relatively complete in describing what was done. - The commit is pushed to the remote on the branch matching the **Branch** in Metadata exactly. - The commit is submitted as a **pull request** to `master`, reviewed, and **merged** before this issue is marked done. ## Subtasks - [x] Add `ContextRequest`, `ContextFragment`, `DetailLevel`, and `ContextBudget` models with validation. - [x] Add built-in `builtin/context` skill with tools `request_context`, `query_history`, and `get_context_budget` (stubbed to ACMS). - [x] Add `ContextRequest` fields for `focus`, `breadth`, `depth`, `strategy`, `temporal_scope`, and `skeleton_ratio` with defaulting rules. - [x] Add `ContextFragment` metadata (uko_uri, provenance, relevance_score, token_count, detail_level) and enforce token_count >= 0. - [x] Add `DetailLevelMap` registry with name->integer resolution and inheritance support. - [x] Add `ContextRequest` validation for invalid depth names and unknown strategies. - [x] Add `docs/reference/crp.md` with request fields, detail levels, and examples. - [x] Document `DetailLevelMap` resolution rules and defaults. - [x] Tests (Behave): Add `features/crp_models.feature` for validation and serialization ordering. - [x] Tests (Robot): Add `robot/crp_models.robot` smoke tests. - [x] Tests (ASV): Add `benchmarks/crp_model_bench.py` for validation throughput. - [x] Verify coverage >=97% via `nox -s coverage_report`. If coverage is <97% then review the current unit test coverage report at `build/coverage.xml` and use it to write new Behave based unit tests to improve code coverage. Specifically, write Behave style unit tests that are descriptively named and specifically improves coverage on whichever file has the most uncovered lines by writing tests that will target the uncovered lines in the report. Once that is done rerun `nox -s coverage_report` to verify all tests pass and coverage is above >=97%. Only mark this as complete once coverage is >=97%, if not repeat this task as many times as is needed until coverage reaches >=97%. - [x] Run `nox` (all default sessions, including benchmark), fix any errors if needed ensuring nox passes across **entire** code base, do not ignore any failure even if it seems unrelated to this commit, fix it. **Section**: #### M5: ACMS v1 + Context Scaling (Day 26) **Status**: Open

freemo added this to the v3.4.0 milestone 2026-02-22 23:39:58 +00:00

freemo added the

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labels 2026-02-22 23:39:58 +00:00

freemo self-assigned this 2026-02-22 23:39:58 +00:00

freemo added a new dependency 2026-02-22 23:54:05 +00:00

#359 Epic: ACMS v1 + Context Scaling (M5)

freemo commented 2026-02-23 18:31:53 +00:00

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Expected completion updated (Day 15 rebaseline): Day 34 / 2026-03-14 (previously Day 31 / 2026-03-11)

**Expected completion updated (Day 15 rebaseline):** Day 34 / 2026-03-14 (previously Day 31 / 2026-03-11)

freemo added the due date 2026-03-07 2026-02-23 18:41:39 +00:00

freemo removed a dependency 2026-02-23 20:33:19 +00:00

#359 Epic: ACMS v1 + Context Scaling (M5)

freemo added a new dependency 2026-02-23 20:35:25 +00:00

#396 Epic: ACMS Context Pipeline

freemo referenced this issue 2026-02-24 03:42:30 +00:00

Epic: ACMS Context Pipeline #396

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labels 2026-03-02 03:47:46 +00:00

freemo referenced this issue 2026-03-02 04:27:17 +00:00

feat(cli): wire project context CLI stubs to ACMS pipeline #499

freemo added a new dependency 2026-03-02 04:40:50 +00:00

#192 feat(acms): add strategy coordinator and fusion engine

freemo added a new dependency 2026-03-02 04:41:54 +00:00

#189 feat(uko): add UKO ontology scaffolding

freemo added a new dependency 2026-03-02 04:41:54 +00:00

#191 feat(acms): add context strategy registry

freemo added a new dependency 2026-03-02 04:41:54 +00:00

#194 feat(acms): add skeleton compressor

freemo referenced this issue from a commit 2026-03-02 06:25:52 +00:00

feat(acms): add context request protocol models

freemo commented 2026-03-02 07:56:50 +00:00

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Implementation Notes

Commit: 7687c5e on feature/m6-acms-crp-models

What was done

Added CRP (Context Request Protocol) domain models and built-in context skill stubs for the ACMS pipeline.

New models (src/cleveragents/domain/models/acms/crp.py)

• DetailLevel: Five-tier enum (SKELETON, SUMMARY, STANDARD, DETAILED, FULL)
• DetailLevelMap: Name-to-integer resolution registry with inheritance support
• FragmentProvenance: Provenance metadata for context fragments
• ContextBudget: Token budget management with max_tokens, reserved_tokens, available_tokens
• ContextFragment: Retrieved context with UKO URI, provenance, relevance_score, token_count, detail_level
• ContextRequest: Focus-driven retrieval with breadth, depth, strategy, temporal_scope, skeleton_ratio, budget
• AssembledContext: Collection of fragments with total token count and budget tracking

All models use Pydantic BaseModel matching project conventions with field validators for fail-fast validation.

Built-in context skill (src/cleveragents/skills/builtins/context_ops.py)

• request_context — Accepts ContextRequest parameters, returns stubbed fragments
• query_history — Returns stubbed history entries
• get_context_budget — Returns current budget information
• All tools have proper ToolSpec definitions and a registration function

Quality gate results

Session	Status
lint	PASS
typecheck	PASS (Pyright strict — 0 errors)
unit_tests	PASS — 7552 scenarios
integration_tests	PASS (CRP tests)
coverage_report	PASS — 100% on all new files

Tests added

• 42 BDD scenarios covering all models, validation, and tool stubs
• 8 Robot Framework smoke tests
• ASV benchmark for model validation throughput
• Documentation in docs/reference/crp.md

## Implementation Notes ### Commit: `7687c5e` on `feature/m6-acms-crp-models` #### What was done Added CRP (Context Request Protocol) domain models and built-in context skill stubs for the ACMS pipeline. #### New models (`src/cleveragents/domain/models/acms/crp.py`) - **DetailLevel**: Five-tier enum (SKELETON, SUMMARY, STANDARD, DETAILED, FULL) - **DetailLevelMap**: Name-to-integer resolution registry with inheritance support - **FragmentProvenance**: Provenance metadata for context fragments - **ContextBudget**: Token budget management with max_tokens, reserved_tokens, available_tokens - **ContextFragment**: Retrieved context with UKO URI, provenance, relevance_score, token_count, detail_level - **ContextRequest**: Focus-driven retrieval with breadth, depth, strategy, temporal_scope, skeleton_ratio, budget - **AssembledContext**: Collection of fragments with total token count and budget tracking All models use Pydantic `BaseModel` matching project conventions with field validators for fail-fast validation. #### Built-in context skill (`src/cleveragents/skills/builtins/context_ops.py`) - `request_context` — Accepts ContextRequest parameters, returns stubbed fragments - `query_history` — Returns stubbed history entries - `get_context_budget` — Returns current budget information - All tools have proper ToolSpec definitions and a registration function #### Quality gate results | Session | Status | |---------|--------| | lint | PASS | | typecheck | PASS (Pyright strict — 0 errors) | | unit_tests | PASS — 7552 scenarios | | integration_tests | PASS (CRP tests) | | coverage_report | PASS — **100% on all new files** | #### Tests added - 42 BDD scenarios covering all models, validation, and tool stubs - 8 Robot Framework smoke tests - ASV benchmark for model validation throughput - Documentation in `docs/reference/crp.md`

freemo referenced this issue 2026-03-02 07:57:37 +00:00

feat(acms): add context request protocol models #505

freemo added

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labels 2026-03-02 07:58:02 +00:00

freemo added a new dependency 2026-03-02 08:01:27 +00:00

#505 feat(acms): add context request protocol models

freemo referenced this issue 2026-03-02 08:34:58 +00:00

chore: integration batch — 6 features/tasks for v3.2.0, v3.4.0, v3.5.0 #508

freemo referenced this issue from a pull request that will close it, 2026-03-02 08:36:25 +00:00

feat(acms): add context request protocol models #505

freemo referenced this issue from a commit 2026-03-02 14:32:33 +00:00

feat(acms): add context request protocol models

freemo commented 2026-03-02 16:18:59 +00:00

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Closing: PR #505 was merged to master on 2026-03-02 via integration batch PR #508. All acceptance criteria met, all subtasks checked off. CRP models (ContextRequest, ContextFragment, DetailLevel, ContextBudget) and builtin/context skill are now in master.

Closing: PR #505 was merged to master on 2026-03-02 via integration batch PR #508. All acceptance criteria met, all subtasks checked off. CRP models (ContextRequest, ContextFragment, DetailLevel, ContextBudget) and builtin/context skill are now in master.

freemo commented 2026-03-04 00:37:48 +00:00

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Closing: code merged to master via commit d3b182e1 (integration batch PR #508, 2026-03-02). Duplicate tracking issue #505 was also created and closed for this same work.

Closing: code merged to master via commit `d3b182e1` (integration batch PR #508, 2026-03-02). Duplicate tracking issue #505 was also created and closed for this same work.

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labels 2026-03-04 00:40:29 +00:00

freemo commented 2026-03-04 01:07:37 +00:00

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Resolved by PR #505

Resolved by PR #505

freemo removed a dependency 2026-03-04 01:55:17 +00:00

#505 feat(acms): add context request protocol models

freemo removed a dependency 2026-03-04 01:56:05 +00:00

#189 feat(uko): add UKO ontology scaffolding

freemo removed a dependency 2026-03-04 01:56:11 +00:00

#194 feat(acms): add skeleton compressor

freemo closed this issue 2026-03-04 01:56:16 +00:00

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auto/last-attempt-tier-2

In-cycle escalation: most recent attempt ran at the Tier 2 slot (`tier-2`). Slot's model defined in .opencode/models/tiers.yaml. Gated behind IMPLEMENTER_ESCALATION_TIER2_ENABLED.

  

auto/last-attempt-tier-min

In-cycle escalation: most recent attempt ran at the Tier -1 slot (`tier-min`). Slot's model defined in .opencode/models/tiers.yaml. Suffix is ``-min`` (not ``--1``) so the Forgejo UI reads naturally.

  

Automation Tracking

Tracking issues used by the AI Automation system for agents to communicate and report.

  

auto/needs-conflict-resolution

Rebase conflict needs LLM conflict-resolver.

  

auto/needs-implementer

Failing CI needs implementer attention.

  

auto/postmortem

Documenting a driver incident or rollback.

  

auto/ready-to-merge

Reviewer has APPROVED this PR and no later REQUEST_CHANGES is outstanding. The merge driver requires this label to even consider a PR for merging. Set by the reviewer worker on APPROVE; cleared on REQUEST_CHANGES.

  

auto/restart-throttled

Train repeatedly lost master-tempo races. Driver excludes via merge_cycle until cooldown elapses; label persists as visible history.

  

auto/revert

Revert PR backing out an invariant violation. Fast-tracked through the merge driver.

  

auto/sentinel

Sentinel PR duplicated from upstream into a personal fork by tools/duplicate_prs_to_fork.py for pipeline testing. Lives only in the fork; the canonical pipeline never sees it.

  

auto/stale-inactivity

No implementer activity for N days. Flagged for human review. Auto-cleared on next push to head branch.

  

auto/unstable

Repeatedly fails on current master (>= 3 ci-fail-on-rebased-sha releases in 12 h). Excluded from driver until human triage.

  

Blocked

A ticket in a blocked state and unable to complete until some other task is completed first.

  

Bounty

$100

A bounty of $100 for any open-source contributor who provides a MR that solves this issue

  

Bounty

$1000

A bounty of $1000 for any open-source contributor who provides a MR that solves this issue

  

Bounty

$10000

A bounty of $10000 for any open-source contributor who provides a MR that solves this issue

  

Bounty

$20

A bounty of $20 for any open-source contributor who provides a MR that solves this issue

  

Bounty

$2000

A bounty of $2000 for any open-source contributor who provides a MR that solves this issue

  

Bounty

$250

A bounty of $250 for any open-source contributor who provides a MR that solves this issue

  

Bounty

$50

A bounty of $50 for any open-source contributor who provides a MR that solves this issue

  

Bounty

$500

A bounty of $500 for any open-source contributor who provides a MR that solves this issue

  

Bounty

$5000

A bounty of $5000 for any open-source contributor who provides a MR that solves this issue

  

Bounty

$750

A bounty of $750 for any open-source contributor who provides a MR that solves this issue

  

MoSCoW

Could have

Could have feature in order to satisfy the epic/legendary.

  

MoSCoW

Must have

Must have feature in order to satisfy the epic/legendary.

  

MoSCoW

Should have

Should have feature in order to satisfy the epic/legendary.

  

Needs Feedback

There are questions in the ticket that can not be completed until the project owner provides clarity.

  

Points

1

1 man-hours worth of work for an expert with no learning curve.

  

Points

13

13 man-hours worth of work for an expert with no learning curve.

  

Points

2

2 man-hours worth of work for an expert with no learning curve.

  

Points

21

21 man-hours worth of work for an expert with no learning curve.

  

Points

3

3 man-hours worth of work for an expert with no learning curve.

  

Points

34

34 man-hours worth of work for an expert with no learning curve.

  

Points

5

5 man-hours worth of work for an expert with no learning curve.

  

Points

55

55 man-hours worth of work for an expert with no learning curve.

  

Points

8

8 man-hours worth of work for an expert with no learning curve.

  

Points

88

88 man-hours worth of work for an expert with no learning curve.

  

Priority

Backlog

This ticket has backlogged priority and is not to be worked on yet

  

Priority

CI Blocker

Critical priority issue that blocks CI/CD pipeline and prevents PR merges

  

Priority

Critical

The priority is critical

  

Priority

High

The priority is high

  

Priority

Low

The priority is low

  

Priority

Medium

The priority is medium

  

Signed-off: Owner

When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  

Signed-off: Scrum Master

When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  

Signed-off: Tech Lead

When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  

Spike

A ticket for learning a tool or technology that is needed to be able to do future planning and design.

  

State

Completed

The ticket has been fully implemented, completed, and merged with the source code. This label should only be applied once a ticket is closed.

  

State

Duplicate

A ticket that represents the same content as an existing ticket.

  

State

In Progress

A ticket that is actively being developed.

  

State

In Review

A ticket that has had some code completed to implement but is waiting to pass peer review and is not yet merged in.

  

State

Paused

This ticket's work started but wasn't finished. It's on hold (likely in a feature branch) and will be resumed later, either due to a blocker or a delay.

  

State

Unverified

All new tickets start in this state. A developer may set it to show the ticket is unverified. This means we haven't agreed to work on it. It will either move to a verified state or be closed as wontdo.

  

State

Verified

The issue has been verified by a developer as legitimate. It will be worked on and verified tickets are now considered part of the backlog.

  

State

Wont Do

This ticket has been decided it wont be done. This may mean the bug has been determined to not be real (cant verify) or the feature is one we have decided we dont want to adopt.

  

Type

Automation

Any edits or discussion about the AI automated coding system.

  

Type

Bug

Something that doesnt work as intended.

  

Type

Discussion

Anytime a ticket represents a discussion about a subject and doesnt fall into one of the other categories.

  

Type

Documentation

An error or improvement needed in the documentation.

  

Type

Epic

Any first tier epic. That is, an epic which contains only issues as children and will not have sub-epics.

  

Type

Feature

Some new functionality not present.

  

Type

Legendary

A type of Epic which will contain other Epics.

  

Type

Refactor

A code change that restructures existing code without changing its external behavior.

  

Type

Support

Someone needs help using the project.

  

Type

Task

A generic task that doesnt fit into the other type categories.

  

Type

Testing

Work exclusively focusing on fixing or expanding testing.

No labels

auto/needs-reevaluation

controller-managed

auto/blocked-by-deps

auto/ci-timeout

auto/claimed-implementer

auto/claimed-merge

auto/claimed-reviewer

auto/driver-down

auto/invariant-violation

auto/last-attempt-tier-0

auto/last-attempt-tier-1

auto/last-attempt-tier-2

auto/last-attempt-tier-min

Automation Tracking

auto/needs-conflict-resolution

auto/needs-implementer

auto/postmortem

auto/ready-to-merge

auto/restart-throttled

auto/revert

auto/sentinel

auto/stale-inactivity

auto/unstable

Blocked

Bounty

$100

Bounty

$1000

Bounty

$10000

Bounty

$20

Bounty

$2000

Bounty

$250

Bounty

$50

Bounty

$500

Bounty

$5000

Bounty

$750

MoSCoW

Could have

MoSCoW

Must have

MoSCoW

Should have

Needs Feedback

Points

1

Points

13

Points

2

Points

21

Points

3

Points

34

Points

5

Points

55

Points

8

Points

88

Priority

Backlog

Priority

CI Blocker

Priority

Critical

Priority

High

Priority

Low

Priority

Medium

Signed-off: Owner

Signed-off: Scrum Master

Signed-off: Tech Lead

Spike

State

Completed

State

Duplicate

State

In Progress

State

In Review

State

Paused

State

Unverified

State

Verified

State

Wont Do

Type

Automation

Type

Bug

Type

Discussion

Type

Documentation

Type

Epic

Type

Feature

Type

Legendary

Type

Refactor

Type

Support

Type

Task

Type

Testing

Milestone

Clear milestone

No items

No milestone

v3.4.0

Projects

Clear projects

No items

No project

Assignees

Clear assignees

No assignees

freemo

1 participant

Notifications

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Due date

The due date is invalid or out of range. Please use the format "yyyy-mm-dd".

2026-03-07

Blocks

#191 feat(acms): add context strategy registry

cleveragents/cleveragents-core

#192 feat(acms): add strategy coordinator and fusion engine

cleveragents/cleveragents-core

#396 Epic: ACMS Context Pipeline

cleveragents/cleveragents-core

Reference

cleveragents/cleveragents-core#190

No description provided.