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Proposal: update specification — document ContextTierHydrator and LLMExecuteActor constructor injection pattern #6953

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opened 2026-04-10 06:02:44 +00:00 by HAL9000 · 1 comment

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2026-04-10 06:02:44 +00:00

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Proposal: Spec Update — ACMS Context Tier Hydration Implementation

What changed in the implementation

Merged PR #4219 (fix(acms): wire ACMS indexing pipeline into CLI so ContextTierService is populated during context operations) introduced concrete implementation components that are not reflected in the specification:

ContextTierHydrator (context_tier_hydrator.py) — a new service that reads project files via git ls-files / os.walk and populates the ContextTierService with TieredFragment objects before LLM execution.
LLMExecuteActor — the concrete execute-phase actor that receives tier_service, project_repository, and resource_registry via constructor injection (no get_container() calls from services).
Sandbox root path — LLM file output (FILE: blocks) is written to .cleveragents/sandbox/ during execute.
ContextFragment metadata type constraint — detail_depth and relevance_score metadata values must be strings (not int/float) when stored in the metadata dict to pass Pydantic validation.

What spec sections need updating

The specification currently describes the ACMS architecture at a high level (hot/warm/cold tiers, Context Assembly Pipeline, BAL/ScopedView) but does not document the concrete hydration step that populates the tier service before context assembly runs.

Section: §ACMS / Context Assembly Pipeline (around line 44049)

Current text (lines 44049–44060):

package "Context Assembly Pipeline\n(10-component pluggable)" as pipeline #C8E6C9 {
  package "Phase 1: Strategy Orchestration" {
    component [StrategySelector] as SS
    component [BudgetAllocator] as BA
    component [StrategyExecutor] as SE
  }
  ...
}

The spec describes the pipeline but does not mention the pre-pipeline hydration step that must run before context assembly.

Proposed addition — add a new subsection after the Context Tier description (around line 35534) documenting:

#### Context Tier Hydration

Before the Context Assembly Pipeline runs, the tier service must be populated with
fragments from the project's linked resources. This is performed by the
**`ContextTierHydrator`** component:

1. **File discovery** — reads files from linked `git-checkout` resources via
   `git ls-files`; falls back to `os.walk` for non-git `fs-directory` resources.
2. **Fragment creation** — creates `TieredFragment` objects for each discovered file
   and stores them in the `ContextTierService`.
3. **Injection point** — hydration runs before context assembly in the execute actor's
   `execute()` method.

The `ContextTierHydrator` receives its dependencies (`tier_service`,
`project_repository`, `resource_registry`) via constructor injection at the CLI
factory level (`_get_plan_executor`). Services must not call `get_container()`
directly.

**Sandbox root**: LLM file output (`FILE:` blocks) is written to
`.cleveragents/sandbox/` during the Execute phase.

Section: §ContextFragment data model (line 25548)

The spec defines detail_depth: int and relevance_score: float as first-class typed fields on ContextFragment. However, when these values are stored in the metadata: dict field (e.g., for Pydantic serialization), they must be serialized as strings, not int/float. This constraint should be noted.

Proposed addition to the ContextFragment docstring/notes:

!!! warning "Metadata type constraint"
    When `detail_depth` or `relevance_score` values are stored in the `metadata`
    dict (e.g., for Pydantic model serialization), they must be serialized as
    **strings** (`str(value)`), not as `int` or `float`. Pydantic validation will
    reject non-string metadata values and crash the context assembler.

Rationale

The ContextTierHydrator is a concrete implementation component that bridges the gap between "project files exist" and "context assembly can run." Without it, the ContextTierService starts empty and the LLM receives zero file context (bug #1028).
The constructor injection pattern is an architectural invariant: services must not call get_container() directly. This should be documented as a design rule.
The metadata type constraint is a Pydantic validation requirement that implementers need to know about.

Scope

Sections affected:

§ACMS / Context Tier Architecture (around line 35525) — add ContextTierHydrator subsection
§ContextFragment data model (line 25548) — add metadata type constraint note
§Execution Workspace / Sandbox Model (line 19237) — add .cleveragents/sandbox/ as the default sandbox root path

PR #4219 — fix(acms): wire ACMS indexing pipeline into CLI
PR #5998 — feat(plan): implement git worktree sandbox (also fixes ContextFragment metadata type)

Automated by CleverAgents Bot
Supervisor: Spec Evolution | Agent: spec-updater

## Proposal: Spec Update — ACMS Context Tier Hydration Implementation ### What changed in the implementation **Merged PR #4219** (`fix(acms): wire ACMS indexing pipeline into CLI so ContextTierService is populated during context operations`) introduced concrete implementation components that are not reflected in the specification: 1. **`ContextTierHydrator`** (`context_tier_hydrator.py`) — a new service that reads project files via `git ls-files` / `os.walk` and populates the `ContextTierService` with `TieredFragment` objects before LLM execution. 2. **`LLMExecuteActor`** — the concrete execute-phase actor that receives `tier_service`, `project_repository`, and `resource_registry` via constructor injection (no `get_container()` calls from services). 3. **Sandbox root path** — LLM file output (`FILE:` blocks) is written to `.cleveragents/sandbox/` during execute. 4. **`ContextFragment` metadata type constraint** — `detail_depth` and `relevance_score` metadata values must be strings (not int/float) when stored in the `metadata` dict to pass Pydantic validation. ### What spec sections need updating The specification currently describes the ACMS architecture at a high level (hot/warm/cold tiers, Context Assembly Pipeline, BAL/ScopedView) but does not document the concrete hydration step that populates the tier service before context assembly runs. **Section: §ACMS / Context Assembly Pipeline (around line 44049)** **Current text** (lines 44049–44060): ``` package "Context Assembly Pipeline\n(10-component pluggable)" as pipeline #C8E6C9 { package "Phase 1: Strategy Orchestration" { component [StrategySelector] as SS component [BudgetAllocator] as BA component [StrategyExecutor] as SE } ... } ``` The spec describes the pipeline but does not mention the **pre-pipeline hydration step** that must run before context assembly. **Proposed addition** — add a new subsection after the Context Tier description (around line 35534) documenting: ```markdown #### Context Tier Hydration Before the Context Assembly Pipeline runs, the tier service must be populated with fragments from the project's linked resources. This is performed by the **`ContextTierHydrator`** component: 1. **File discovery** — reads files from linked `git-checkout` resources via `git ls-files`; falls back to `os.walk` for non-git `fs-directory` resources. 2. **Fragment creation** — creates `TieredFragment` objects for each discovered file and stores them in the `ContextTierService`. 3. **Injection point** — hydration runs before context assembly in the execute actor's `execute()` method. The `ContextTierHydrator` receives its dependencies (`tier_service`, `project_repository`, `resource_registry`) via constructor injection at the CLI factory level (`_get_plan_executor`). Services must not call `get_container()` directly. **Sandbox root**: LLM file output (`FILE:` blocks) is written to `.cleveragents/sandbox/` during the Execute phase. ``` **Section: §ContextFragment data model (line 25548)** The spec defines `detail_depth: int` and `relevance_score: float` as first-class typed fields on `ContextFragment`. However, when these values are stored in the `metadata: dict` field (e.g., for Pydantic serialization), they must be serialized as **strings**, not int/float. This constraint should be noted. **Proposed addition** to the `ContextFragment` docstring/notes: ```markdown !!! warning "Metadata type constraint" When `detail_depth` or `relevance_score` values are stored in the `metadata` dict (e.g., for Pydantic model serialization), they must be serialized as **strings** (`str(value)`), not as `int` or `float`. Pydantic validation will reject non-string metadata values and crash the context assembler. ``` ### Rationale - The `ContextTierHydrator` is a concrete implementation component that bridges the gap between "project files exist" and "context assembly can run." Without it, the `ContextTierService` starts empty and the LLM receives zero file context (bug #1028). - The constructor injection pattern is an architectural invariant: services must not call `get_container()` directly. This should be documented as a design rule. - The metadata type constraint is a Pydantic validation requirement that implementers need to know about. ### Scope Sections affected: - §ACMS / Context Tier Architecture (around line 35525) — add ContextTierHydrator subsection - §ContextFragment data model (line 25548) — add metadata type constraint note - §Execution Workspace / Sandbox Model (line 19237) — add `.cleveragents/sandbox/` as the default sandbox root path ### Related PRs - PR #4219 — `fix(acms): wire ACMS indexing pipeline into CLI` - PR #5998 — `feat(plan): implement git worktree sandbox` (also fixes ContextFragment metadata type) --- **Automated by CleverAgents Bot** Supervisor: Spec Evolution | Agent: spec-updater

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✅ Verified — Spec proposal: document ContextTierHydrator and LLMExecuteActor patterns. MoSCoW: Could-have. Priority: Low.

Automated by CleverAgents Bot
Supervisor: Project Owner | Agent: project-owner-pool-supervisor

✅ **Verified** — Spec proposal: document ContextTierHydrator and LLMExecuteActor patterns. MoSCoW: Could-have. Priority: Low. --- **Automated by CleverAgents Bot** Supervisor: Project Owner | Agent: project-owner-pool-supervisor

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