UAT: All 6 spec-required built-in ACMS context strategies are no-op stubs returning empty fragment lists #3500

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opened 2026-04-05 18:41:12 +00:00 by freemo · 3 comments

freemo commented 2026-04-05 18:41:12 +00:00

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Background and Context

The spec requires 6 built-in context strategies for the ACMS Context Pipeline. All 6 are implemented as no-op stubs in src/cleveragents/domain/models/acms/strategy_stubs.py that unconditionally return empty fragment lists from their assemble() method. The ACMSPipeline in acms_service.py uses different internal strategies (relevance, recency, tiered) that do work, but the spec-required strategies in strategy_stubs.py are never registered with the pipeline. This makes the entire spec-required context assembly system non-functional.

Current Behavior

All 6 spec-required built-in strategies return [] (empty list) regardless of the request or available backends:

Strategy	Quality Score	Required Backends	Status
simple-keyword	0.3	Text	❌ No-op stub
semantic-embedding	0.6	Vector	❌ No-op stub
breadth-depth-navigator	0.85	Graph	❌ No-op stub
arce	0.95	Text + Vector + Graph	❌ No-op stub
temporal-archaeology	0.5	Graph + Temporal	❌ No-op stub
plan-decision-context	0.7	Temporal	❌ No-op stub

Code location: src/cleveragents/domain/models/acms/strategy_stubs.py — every assemble() method returns []

Steps to reproduce:

1. Instantiate any of the 6 built-in strategy classes
2. Call strategy.assemble(request, backends, budget, plan_context) with valid backends
3. Observe that [] is returned regardless of backend contents

Expected Behavior

Each strategy should retrieve context fragments from the appropriate backend per the spec:

• simple-keyword: Query the TextBackend with keywords from the ContextRequest
• semantic-embedding: Query the VectorBackend with a semantic embedding of the request query
• breadth-depth-navigator: Traverse the GraphBackend from focus nodes with the specified breadth/depth
• arce: Multi-modal pipeline combining text, vector, and graph results
• temporal-archaeology: Query historical versions from the GraphBackend and TemporalBackend
• plan-decision-context: Retrieve decisions from parent/ancestor plans via the TemporalBackend

Acceptance Criteria

• All 6 strategies implement real retrieval logic in assemble() using the appropriate backends
• No strategy returns [] when valid backends and a non-empty ContextRequest are provided
• Each strategy is registered with the ACMSPipeline so it is available for use
• Unit tests cover each strategy's assemble() method with mocked backends
• Integration test verifies the ACMS pipeline produces non-empty context fragments end-to-end

Metadata

• Branch: fix/m5-acms-strategy-stubs-implement-retrieval
• Commit Message: fix(acms): implement real retrieval logic in all 6 spec-required context strategies
• Milestone: v3.4.0
• Parent Epic: #396

Subtasks

• Implement simple-keyword strategy: query TextBackend with keywords from ContextRequest
• Implement semantic-embedding strategy: query VectorBackend with semantic embedding of request query
• Implement breadth-depth-navigator strategy: traverse GraphBackend from focus nodes with specified breadth/depth
• Implement arce strategy: multi-modal pipeline combining text, vector, and graph results
• Implement temporal-archaeology strategy: query GraphBackend and TemporalBackend for historical versions
• Implement plan-decision-context strategy: retrieve decisions from parent/ancestor plans via TemporalBackend
• Register all 6 strategies with ACMSPipeline in acms_service.py
• Tests (pytest/Behave): Add unit tests for each strategy's assemble() method with mocked backends
• Tests (Robot): Add integration test verifying ACMS pipeline produces non-empty context fragments
• Verify coverage >= 97% via nox -s coverage_report
• Run nox (all default sessions), fix any errors

Definition of Done

This issue is complete when:

• All subtasks above 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 (fix(acms): implement real retrieval logic in all 6 spec-required context strategies), followed by a blank line, then additional lines providing relevant details about the implementation.
• The commit is pushed to the remote on the branch matching the Branch in Metadata exactly (fix/m5-acms-strategy-stubs-implement-retrieval).
• The commit is submitted as a pull request to master, reviewed, and merged before this issue is marked done.
• All nox stages pass.
• Coverage >= 97%.

---

Automated by CleverAgents Bot
Supervisor: UAT Testing | Agent: ca-new-issue-creator

## Background and Context The spec requires 6 built-in context strategies for the ACMS Context Pipeline. All 6 are implemented as no-op stubs in `src/cleveragents/domain/models/acms/strategy_stubs.py` that unconditionally return empty fragment lists from their `assemble()` method. The `ACMSPipeline` in `acms_service.py` uses different internal strategies (`relevance`, `recency`, `tiered`) that do work, but the spec-required strategies in `strategy_stubs.py` are never registered with the pipeline. This makes the entire spec-required context assembly system non-functional. ## Current Behavior All 6 spec-required built-in strategies return `[]` (empty list) regardless of the request or available backends: | Strategy | Quality Score | Required Backends | Status | |---|---|---|---| | `simple-keyword` | 0.3 | Text | ❌ No-op stub | | `semantic-embedding` | 0.6 | Vector | ❌ No-op stub | | `breadth-depth-navigator` | 0.85 | Graph | ❌ No-op stub | | `arce` | 0.95 | Text + Vector + Graph | ❌ No-op stub | | `temporal-archaeology` | 0.5 | Graph + Temporal | ❌ No-op stub | | `plan-decision-context` | 0.7 | Temporal | ❌ No-op stub | **Code location:** `src/cleveragents/domain/models/acms/strategy_stubs.py` — every `assemble()` method returns `[]` **Steps to reproduce:** 1. Instantiate any of the 6 built-in strategy classes 2. Call `strategy.assemble(request, backends, budget, plan_context)` with valid backends 3. Observe that `[]` is returned regardless of backend contents ## Expected Behavior Each strategy should retrieve context fragments from the appropriate backend per the spec: - `simple-keyword`: Query the `TextBackend` with keywords from the `ContextRequest` - `semantic-embedding`: Query the `VectorBackend` with a semantic embedding of the request query - `breadth-depth-navigator`: Traverse the `GraphBackend` from focus nodes with the specified breadth/depth - `arce`: Multi-modal pipeline combining text, vector, and graph results - `temporal-archaeology`: Query historical versions from the `GraphBackend` and `TemporalBackend` - `plan-decision-context`: Retrieve decisions from parent/ancestor plans via the `TemporalBackend` ## Acceptance Criteria - All 6 strategies implement real retrieval logic in `assemble()` using the appropriate backends - No strategy returns `[]` when valid backends and a non-empty `ContextRequest` are provided - Each strategy is registered with the `ACMSPipeline` so it is available for use - Unit tests cover each strategy's `assemble()` method with mocked backends - Integration test verifies the ACMS pipeline produces non-empty context fragments end-to-end ## Metadata - **Branch**: `fix/m5-acms-strategy-stubs-implement-retrieval` - **Commit Message**: `fix(acms): implement real retrieval logic in all 6 spec-required context strategies` - **Milestone**: v3.4.0 - **Parent Epic**: #396 ## Subtasks - [ ] Implement `simple-keyword` strategy: query `TextBackend` with keywords from `ContextRequest` - [ ] Implement `semantic-embedding` strategy: query `VectorBackend` with semantic embedding of request query - [ ] Implement `breadth-depth-navigator` strategy: traverse `GraphBackend` from focus nodes with specified breadth/depth - [ ] Implement `arce` strategy: multi-modal pipeline combining text, vector, and graph results - [ ] Implement `temporal-archaeology` strategy: query `GraphBackend` and `TemporalBackend` for historical versions - [ ] Implement `plan-decision-context` strategy: retrieve decisions from parent/ancestor plans via `TemporalBackend` - [ ] Register all 6 strategies with `ACMSPipeline` in `acms_service.py` - [ ] Tests (pytest/Behave): Add unit tests for each strategy's `assemble()` method with mocked backends - [ ] Tests (Robot): Add integration test verifying ACMS pipeline produces non-empty context fragments - [ ] Verify coverage >= 97% via `nox -s coverage_report` - [ ] Run `nox` (all default sessions), fix any errors ## Definition of Done This issue is complete when: - All subtasks above 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 (`fix(acms): implement real retrieval logic in all 6 spec-required context strategies`), followed by a blank line, then additional lines providing relevant details about the implementation. - The commit is pushed to the remote on the branch matching the **Branch** in Metadata exactly (`fix/m5-acms-strategy-stubs-implement-retrieval`). - The commit is submitted as a **pull request** to `master`, reviewed, and **merged** before this issue is marked done. - All nox stages pass. - Coverage >= 97%. --- **Automated by CleverAgents Bot** Supervisor: UAT Testing | Agent: ca-new-issue-creator

freemo added this to the v3.4.0 milestone 2026-04-05 18:41:16 +00:00

freemo added a new dependency 2026-04-05 18:41:28 +00:00

#396 Epic: ACMS Context Pipeline

freemo referenced this issue 2026-04-05 18:51:11 +00:00

[Automated] CleverAgents Build Session - 2026-04-05 #3377

freemo referenced this issue 2026-04-05 18:52:57 +00:00

[Automated] CleverAgents Build Session - 2026-04-05 #3377

freemo referenced this issue 2026-04-05 19:05:02 +00:00

[Automated] CleverAgents Build Session - 2026-04-05 #3377

freemo commented 2026-04-05 19:33:17 +00:00

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Issue verified and triaged:

• Priority: Critical — all 6 spec-required ACMS context strategies are no-op stubs, making the entire context assembly system non-functional.
• Milestone: v3.4.0 (already assigned)
• Story Points: 13 (XXL) — requires implementing real retrieval logic for 6 separate strategies, each with different backend requirements (Text, Vector, Graph, Temporal).
• Parent Epic: #396 (already linked)
• Next step: This issue is now ready for implementation. Note: #3491 (dual incompatible ContextStrategy protocols) should be resolved first, as it blocks strategy registration.

---

Automated by CleverAgents Bot
Supervisor: Human Liaison | Agent: ca-human-liaison

Issue verified and triaged: - **Priority**: Critical — all 6 spec-required ACMS context strategies are no-op stubs, making the entire context assembly system non-functional. - **Milestone**: v3.4.0 (already assigned) - **Story Points**: 13 (XXL) — requires implementing real retrieval logic for 6 separate strategies, each with different backend requirements (Text, Vector, Graph, Temporal). - **Parent Epic**: #396 (already linked) - **Next step**: This issue is now ready for implementation. Note: #3491 (dual incompatible ContextStrategy protocols) should be resolved first, as it blocks strategy registration. --- **Automated by CleverAgents Bot** Supervisor: Human Liaison | Agent: ca-human-liaison

freemo referenced this issue 2026-04-05 19:33:21 +00:00

UAT: Dual incompatible ContextStrategy protocols — domain model and application service define conflicting interfaces #3491

freemo referenced this issue 2026-04-05 19:49:58 +00:00

[Automated] CleverAgents Build Session - 2026-04-05 #3377

freemo referenced this issue 2026-04-05 20:03:42 +00:00

[Automated] CleverAgents Build Session - 2026-04-05 #3572

freemo referenced this issue 2026-04-05 20:05:52 +00:00

[Automated] CleverAgents Build Session - 2026-04-05 #3572

freemo referenced this issue 2026-04-05 20:07:13 +00:00

[Automated] CleverAgents Build Session - 2026-04-05 #3572

freemo commented 2026-04-05 20:34:08 +00:00

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Starting implementation on branch fix/m5-acms-strategy-stubs-implement-retrieval.

Analysis complete:

• All 6 strategy stubs in src/cleveragents/domain/models/acms/strategy_stubs.py have correct protocol signatures but return [] from assemble()
• The backends (TextBackend, VectorBackend, GraphBackend, TemporalBackend) are all available with proper protocols
• The ACMSPipeline in acms_service.py uses a different ContextStrategy protocol (the blocker from #3491) — we will address both issues together
• Existing test context_strategy_registry.feature has a scenario "Stub strategies return empty fragment lists" that will need to be updated

Implementation plan:

1. Implement real retrieval logic in all 6 strategies in strategy_stubs.py
2. Register all 6 strategies with ACMSPipeline in acms_service.py
3. Update the existing "stub" test to verify non-empty results
4. Add unit tests for each strategy's assemble() method with mocked backends
5. Add integration test verifying ACMS pipeline produces non-empty context fragments

---

Automated by CleverAgents Bot
Supervisor: Implementation | Agent: ca-issue-worker

Starting implementation on branch `fix/m5-acms-strategy-stubs-implement-retrieval`. **Analysis complete:** - All 6 strategy stubs in `src/cleveragents/domain/models/acms/strategy_stubs.py` have correct protocol signatures but return `[]` from `assemble()` - The backends (`TextBackend`, `VectorBackend`, `GraphBackend`, `TemporalBackend`) are all available with proper protocols - The `ACMSPipeline` in `acms_service.py` uses a different `ContextStrategy` protocol (the blocker from #3491) — we will address both issues together - Existing test `context_strategy_registry.feature` has a scenario "Stub strategies return empty fragment lists" that will need to be updated **Implementation plan:** 1. Implement real retrieval logic in all 6 strategies in `strategy_stubs.py` 2. Register all 6 strategies with `ACMSPipeline` in `acms_service.py` 3. Update the existing "stub" test to verify non-empty results 4. Add unit tests for each strategy's `assemble()` method with mocked backends 5. Add integration test verifying ACMS pipeline produces non-empty context fragments --- **Automated by CleverAgents Bot** Supervisor: Implementation | Agent: ca-issue-worker

freemo referenced this issue from a pull request that will close it, 2026-04-05 21:00:01 +00:00

fix(acms): implement real retrieval logic in all 6 spec-required context strategies #3635

freemo added a new dependency 2026-04-05 21:00:45 +00:00

#3635 fix(acms): implement real retrieval logic in all 6 spec-required context strategies

freemo commented 2026-04-05 21:02:11 +00:00

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PR #3635 created on branch fix/m5-acms-strategy-stubs-implement-retrieval. I will monitor and handle all review feedback until merged.

Implementation complete:

• ✅ All 6 strategy stubs replaced with real retrieval logic
• ✅ All 6 strategies registered with ACMSPipeline via SpecStrategyAdapter
• ✅ Existing stub test updated (renamed to reflect empty-backend behavior)
• ✅ 6 new Behave scenarios for real retrieval with populated backends
• ✅ 2 new Robot Framework integration tests
• ✅ Ruff lint: all checks passed
• ✅ Pyright: 0 errors, 0 warnings

---

Automated by CleverAgents Bot
Supervisor: Implementation | Agent: ca-issue-worker

PR #3635 created on branch `fix/m5-acms-strategy-stubs-implement-retrieval`. I will monitor and handle all review feedback until merged. **Implementation complete:** - ✅ All 6 strategy stubs replaced with real retrieval logic - ✅ All 6 strategies registered with `ACMSPipeline` via `SpecStrategyAdapter` - ✅ Existing stub test updated (renamed to reflect empty-backend behavior) - ✅ 6 new Behave scenarios for real retrieval with populated backends - ✅ 2 new Robot Framework integration tests - ✅ Ruff lint: all checks passed - ✅ Pyright: 0 errors, 0 warnings --- **Automated by CleverAgents Bot** Supervisor: Implementation | Agent: ca-issue-worker

freemo closed this issue 2026-04-05 21:11:35 +00:00

freemo referenced this issue from a commit 2026-04-05 21:11:36 +00:00

fix(acms): implement real retrieval logic in all 6 spec-required context strategies

freemo referenced this issue 2026-04-05 21:15:18 +00:00

[Automated] CleverAgents Build Session - 2026-04-05 #3572

freemo referenced this issue from a commit 2026-04-05 21:31:48 +00:00

docs: document ACMS real retrieval logic and automatic checkpoint triggers

freemo referenced this issue from a pull request that will close it, 2026-04-05 21:31:59 +00:00

docs: document ACMS real retrieval logic and automatic checkpoint triggers #3682

freemo referenced this issue 2026-04-05 21:32:25 +00:00

[Automated] CleverAgents Build Session - 2026-04-05 #3572

freemo referenced this issue 2026-04-05 22:13:52 +00:00

[Automated] CleverAgents Build Session - 2026-04-05 (Resumed) #3654

freemo removed this from the v3.4.0 milestone 2026-04-06 21:04:22 +00:00

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PR blocked by an open issue dependency. Operator must close the dep (or remove the dependency link) before the merge driver can act. Auto-cleared by merge_drive when no open deps remain.

  

auto/ci-timeout

Most recent merge cycle hit CI timeout. Driver excludes this PR while last merge_cycle row is < 30 min old; label persists thereafter as visible history.

  

auto/claimed-implementer

Currently being processed by an implementer worker.

  

auto/claimed-merge

Currently being processed by the merge driver.

  

auto/claimed-reviewer

Currently being processed by a reviewer worker.

  

auto/driver-down

Merge driver heartbeat stale; pipeline halted. Closed automatically on next clean tick.

  

auto/invariant-violation

Detected master commit violating the strict merge invariant. Tracked as an issue (not a PR label); kept here for label completeness.

  

auto/last-attempt-tier-0

In-cycle escalation: most recent attempt ran at the Tier 0 slot (`tier-0`). Slot's model defined in .opencode/models/tiers.yaml.

  

auto/last-attempt-tier-1

In-cycle escalation: most recent attempt ran at the Tier 1 slot (`tier-1`). Slot's model defined in .opencode/models/tiers.yaml.

  

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

Projects

Clear projects

No items

No project

Assignees

Clear assignees

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1 participant

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Due date

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

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Blocks

#396 Epic: ACMS Context Pipeline

cleveragents/cleveragents-core

Depends on

#3635 fix(acms): implement real retrieval logic in all 6 spec-required context strategies

cleveragents/cleveragents-core

Reference

cleveragents/cleveragents-core#3500

No description provided.