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HAL9000 911fe64344 docs: fix merge conflicts in v3.2.0/v3.3.0 and v3.4.0/v3.5.0 documentation PRs [AUTO-DOCS-4] 2026-04-15 15:43:16 +00:00
HAL9000 b25f34a0d4 docs: Add v3.4.0 ACMS and v3.5.0 Autonomy Hardening documentation
- Add docs/context.md: ACMS v1 context management documentation
- Add docs/autonomy.md: Autonomy hardening and A2A protocol documentation
- Update CHANGELOG.md with v3.4.0 and v3.5.0 unreleased sections
- Update mkdocs.yml navigation

[AUTO-DOCS-3]
2026-04-15 15:42:03 +00:00
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@@ -203,7 +203,124 @@ The format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
supervisors). Updated all numeric references, pre-flight checklists, and validation logic.
---
## [3.5.0] — Unreleased (Autonomy Hardening)
### Added
- **A2A Facade Session and Plan Lifecycle** — Session and plan lifecycle operations
are now functional via the CLI using the A2A (Agent-to-Agent) protocol facade.
Supports `agents session start/list/stop` and plan execution via `agents plan execute
--session SESSION_ID`. Follows ADR-047 (A2A Standard Adoption).
- **Event Queue Publish/Subscribe** — A new event queue system enables asynchronous
publish/subscribe communication between agents and plan lifecycle components.
Supports `agents events subscribe` and `agents events publish` CLI commands.
Event types include `PLAN_CREATED`, `STRATEGIZE_COMPLETE`, `EXECUTE_COMPLETE`,
`APPLY_COMPLETE`, `CORRECTION_APPLIED`, `INVARIANT_VIOLATED`, `SUBPLAN_STARTED`,
`SUBPLAN_COMPLETE`, `SUBPLAN_FAILED`, and `GUARD_TRIGGERED`.
- **Guard Enforcement** — Three guard types protect against runaway autonomous
execution: denylist (blocks specific tools/commands/file patterns), budget caps
(limits LLM tokens, cost, wall time, file writes), and tool call limits (caps
tool calls per subplan/plan and consecutive failures). Guards are configurable
at tool, subplan, plan, and global levels.
- **Automation Profile Resolution Precedence** — Automation profiles now resolve
with correct precedence: plan-level > action-level > global. The
`_resolve_profile_for_plan` function raises a clear `ValidationError` when an
unknown profile name is configured, listing available built-in profiles
(`manual`, `semi-auto`, `auto`, `supervised`).
- **Hierarchical Plan Decomposition (4+ Levels)** — The strategy actor now
decomposes plans into hierarchical subplan trees with 4+ levels of depth.
Decomposition considers dependency analysis, complexity estimation, risk
assessment, and resource constraints.
- **Decision Correction with Selective Subtree Recomputation** — When a decision
correction is applied, only the affected subtree is recomputed. Unaffected
branches of the plan tree are preserved, minimizing wasted work.
- **Parallel Execution Scaling (10+ Concurrent Subplans)** — `SubplanExecutionService`
now scales to 10+ concurrent subplans via `ThreadPoolExecutor`. Fail-fast
cancellation correctly overrides in-flight subplan results to `CANCELLED` when
`stop_flag` is active, preventing corrupted merge output.
- **Large-Scale Autonomous Task Execution** — A realistic large-scale porting task
(Firefox-scale codebase) completes autonomously using hierarchical decomposition,
parallel execution, and validation-gated apply.
### Changed
- **Server Stubs Moved to M9 (v3.8.0)** — Server stubs previously scoped to this
milestone have been moved to v3.8.0 following the ACP to A2A protocol adoption
(ADR-047) and server architecture redesign (ADR-048).
- **TUI Features Moved to M8 (v3.7.0)** — TUI features previously scoped to this
milestone have been moved to v3.7.0.
### Technical
- `nox` passes with coverage >= 97% including large-project suites
- Hierarchical decomposition validated at 4+ levels of subplan depth
- Parallel execution validated at 10+ concurrent subplans
- Decision correction validated for selective subtree recomputation only
---
## [3.4.0] — Unreleased (ACMS v1 + Context Scaling)
### Added
- **Advanced Context Management System (ACMS) v1** — The ACMS pipeline is now
operational. Projects with 10,000+ files can be indexed and queried. The context
assembly pipeline produces scoped, budget-constrained context views for actors.
Hot/warm/cold storage tiers manage context lifecycle. See `docs/context.md` for
full documentation.
- **Context Assembly CLI** — New `agents context` command suite:
- `agents context list` — List all context fragments grouped by storage tier
- `agents context add PATH` — Manually add a file or directory to context
- `agents context show` — Show fragment details or assembled context view
- `agents context clear` — Remove fragments from the tier service
- **Context Policies with View-Specific Settings** — Context policies are
configurable in `.cleveragents/config.toml` with per-view overrides. Supports
`max_file_size`, `max_total_size`, tier capacity thresholds, and file exclusion
patterns.
- **Budget Enforcement** — `max_file_size` (default 256 KB) and `max_total_size`
(default 10 MB) constraints are enforced during context assembly. Files exceeding
`max_file_size` are skipped. Assembly stops when `max_total_size` is reached.
- **Context Analysis Summaries** — Context assembly produces meaningful summaries
of the assembled context, including fragment counts per tier, total size, and
coverage metrics.
- **ACMS Integration with Plan Execution** — Plan execution (`agents plan execute`)
now leverages ACMS context for LLM calls. The `LLMExecuteActor` receives a
scoped, budget-constrained context view assembled from project resources.
### Fixed
- **ContextTierService Thread Safety** (#7547) — Added `threading.RLock` to
`ContextTierService` to prevent `RuntimeError: dictionary changed size during
iteration` and data corruption under concurrent plan execution. All public
methods now acquire the reentrant lock before accessing tier data structures.
- **ACMS Context Tier Hydration** (#1028) — `ContextTierService` no longer starts
empty on every CLI invocation. A new `context_tier_hydrator.py` reads files from
linked project resources, creates `TieredFragment` objects, and stores them in
the tier service before context assembly. Respects max file size (256 KB), total
budget (10 MB), binary file exclusion, and directory skipping.
### Technical
- Projects with 10,000+ files index without timeout
- Context window management validated across hot/warm/cold tiers
- ACMS v1 pipeline produces scoped context output
- Test coverage >= 97%
---
## [3.8.0] — 2026-04-05
### Added
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# Autonomy Hardening
> **Milestone:** v3.5.0 — Autonomy Hardening
CleverAgents v3.5.0 introduces comprehensive autonomy hardening, enabling the system to autonomously execute large-scale tasks using hierarchical plan decomposition, parallel execution, and validation-gated apply.
---
## Overview
Autonomy hardening provides the infrastructure for safe, scalable autonomous task execution:
- **Hierarchical decomposition** — Plans decompose into 4+ levels of subplans
- **Parallel execution** — 10+ concurrent subplans execute simultaneously
- **Guard enforcement** — Denylist, budget caps, and tool call limits protect against runaway execution
- **Automation profiles** — Configurable precedence (plan > action > global) controls autonomy level
- **A2A protocol** — Agent-to-Agent facade enables session and plan lifecycle operations via CLI
- **Event queue** — Publish/subscribe system coordinates asynchronous agent communication
> **Note on Server Stubs:** Server stubs previously scoped to this milestone have been moved to M9 (v3.8.0) following the ACP to A2A protocol adoption (ADR-047) and server architecture redesign (ADR-048). TUI features were moved to M8 (v3.7.0).
---
## A2A Protocol (Agent-to-Agent)
The A2A (Agent-to-Agent) protocol provides a standardized facade for session and plan lifecycle operations.
### Overview
A2A replaces the earlier ACP (Agent Communication Protocol) following ADR-047. It provides:
- Standardized session management across agent boundaries
- Plan lifecycle operations (create, start, execute, apply, correct)
- Event-driven communication via publish/subscribe
- Type-safe message schemas
### A2A Facade CLI
The A2A facade exposes session and plan lifecycle operations via the `agents` CLI:
```
# Start an A2A session
agents session start --profile semi-auto
# List active sessions
agents session list
# Execute a plan via A2A facade
agents plan execute PLAN_ID --session SESSION_ID
# Subscribe to plan events
agents events subscribe --plan PLAN_ID
```
### Session Lifecycle
```
CREATE --> ACTIVE --> SUSPENDED --> TERMINATED
|
v
ERRORED
```
Sessions are created with an automation profile that governs the autonomy level for all plans within the session.
### References
- ADR-026: Agent-to-Agent Protocol (A2A)
- ADR-047: A2A Standard Adoption
---
## Event Queue
The event queue provides asynchronous publish/subscribe communication between agents and plan lifecycle components.
### Architecture
```
Publisher Event Queue Subscriber
| | |
|-- publish(event) -----> | |
| |-- deliver(event) ----> |
| | |
```
### Event Types
| Event | Description |
|-------|-------------|
| `PLAN_CREATED` | A new plan was created |
| `STRATEGIZE_STARTED` | Strategy phase began |
| `STRATEGIZE_COMPLETE` | Strategy phase completed |
| `EXECUTE_STARTED` | Execute phase began |
| `EXECUTE_COMPLETE` | Execute phase completed |
| `APPLY_STARTED` | Apply phase began |
| `APPLY_COMPLETE` | Apply phase completed |
| `CORRECTION_APPLIED` | A decision correction was applied |
| `INVARIANT_VIOLATED` | An invariant violation was detected |
| `SUBPLAN_STARTED` | A subplan began execution |
| `SUBPLAN_COMPLETE` | A subplan completed |
| `SUBPLAN_FAILED` | A subplan failed |
| `GUARD_TRIGGERED` | A guard condition was triggered |
### Subscribe to Events
```
# Subscribe to all events for a plan
agents events subscribe --plan PLAN_ID
# Subscribe to specific event types
agents events subscribe --plan PLAN_ID --type SUBPLAN_COMPLETE,SUBPLAN_FAILED
# Subscribe with timeout
agents events subscribe --plan PLAN_ID --timeout 300
```
### Publish Custom Events
```
# Publish a custom event
agents events publish --plan PLAN_ID --type CUSTOM --data '{"key": "value"}'
```
---
## Guard Enforcement
Guards protect against runaway autonomous execution by enforcing configurable limits.
### Guard Types
#### Denylist Guard
Prevents execution of specific tools, commands, or operations:
```toml
[guards.denylist]
tools = ["shell_exec", "file_delete"]
commands = ["rm -rf", "sudo", "chmod 777"]
file_patterns = ["/etc/**", "/sys/**", "~/.ssh/**"]
```
#### Budget Cap Guard
Limits resource consumption during autonomous execution:
```toml
[guards.budget]
max_llm_tokens = 1000000 # 1M tokens per plan
max_llm_cost_usd = 10.00 # $10 per plan
max_wall_time_seconds = 3600 # 1 hour per plan
max_file_writes = 1000 # 1000 file writes per plan
```
#### Tool Call Limit Guard
Limits the number of tool calls during execution:
```toml
[guards.tool_limits]
max_tool_calls_per_subplan = 100
max_tool_calls_per_plan = 10000
max_consecutive_failures = 5
```
### Guard Enforcement Behavior
When a guard is triggered:
1. The current subplan is halted
2. A `GUARD_TRIGGERED` event is published
3. The plan transitions to `ERRORED` state
4. A detailed guard violation report is generated
### Guard Configuration Precedence
Guards can be configured at multiple levels, with more specific configurations taking precedence:
```
Tool-level > Subplan-level > Plan-level > Global
```
---
## Automation Profiles
Automation profiles control the level of autonomy during plan execution.
### Built-in Profiles
| Profile | Description | Human Approval Required |
|---------|-------------|------------------------|
| `manual` | All decisions require human approval | Every decision |
| `semi-auto` | High-risk decisions require approval | Destructive operations |
| `auto` | Fully autonomous execution | None (guards only) |
| `supervised` | Periodic checkpoints for human review | At checkpoints |
### Profile Precedence
Automation profiles are resolved with the following precedence (highest to lowest):
1. **Plan-level** — Set via `agents plan create --profile PROFILE`
2. **Action-level** — Set via `agents action create --profile PROFILE`
3. **Global** — Set in `.cleveragents/config.toml` under `[automation]`
```toml
# Global default
[automation]
default_profile = "semi-auto"
```
```
# Plan-level override (highest precedence)
agents plan create --profile auto "Port the Firefox codebase to Rust"
```
### Custom Profiles
Custom profiles can be defined in `.cleveragents/profiles/`:
```toml
# .cleveragents/profiles/strict.toml
[profile]
name = "strict"
description = "Strict profile for sensitive codebases"
base = "semi-auto"
[profile.overrides]
require_approval_for = ["file_write", "git_commit", "shell_exec"]
max_consecutive_auto_decisions = 3
```
### Profile Resolution
The `_resolve_profile_for_plan` function in `PlanLifecycleService` resolves the effective profile for a plan. If the plan's configured profile name is not a known built-in profile, a `ValidationError` is raised with an actionable error message listing available profiles.
---
## Hierarchical Plan Decomposition
CleverAgents v3.5.0 supports hierarchical plan decomposition with 4+ levels of subplans.
### Decomposition Model
```
Plan (Level 0)
|
+-- Subplan A (Level 1)
| |
| +-- Subplan A.1 (Level 2)
| | |
| | +-- Subplan A.1.1 (Level 3)
| | | |
| | | +-- Subplan A.1.1.1 (Level 4)
| | |
| | +-- Subplan A.1.2 (Level 3)
| |
| +-- Subplan A.2 (Level 2)
|
+-- Subplan B (Level 1)
|
+-- Subplan B.1 (Level 2)
```
### Decomposition Strategy
The strategy actor decomposes plans based on:
1. **Dependency analysis** — Identifies independent work units that can execute in parallel
2. **Complexity estimation** — Estimates effort for each subplan to balance load
3. **Risk assessment** — Groups high-risk operations for sequential execution
4. **Resource constraints** — Respects available compute and memory limits
### Decision Correction with Subtree Recomputation
When a decision correction is applied, only the affected subtree is recomputed:
```
Plan
|
+-- Subplan A (complete)
|
+-- Subplan B (correction applied here)
| |
| +-- Subplan B.1 (RECOMPUTED)
| |
| +-- Subplan B.2 (RECOMPUTED)
|
+-- Subplan C (unaffected, not recomputed)
```
This selective recomputation minimizes wasted work when corrections are needed.
---
## Parallel Execution
CleverAgents v3.5.0 scales parallel execution to 10+ concurrent subplans.
### Execution Model
```
SubplanExecutionService
|
+-- ThreadPoolExecutor (max_workers=N)
|
+-- Worker 1: Subplan A.1
+-- Worker 2: Subplan A.2
+-- Worker 3: Subplan B.1
+-- Worker 4: Subplan B.2
+-- Worker 5: Subplan C.1
...
+-- Worker N: Subplan X.Y
```
### Fail-Fast Cancellation
When `fail_fast=True` and a subplan fails:
1. The `stop_flag` is set
2. Queued subplans are cancelled before starting
3. In-flight subplans that complete after `stop_flag` is set are overridden to `CANCELLED`
4. The merge output excludes cancelled subplan results
### Parallel Execution Configuration
```toml
[execution]
max_parallel_subplans = 10 # Maximum concurrent subplans
fail_fast = true # Cancel remaining subplans on first failure
subplan_timeout_seconds = 600 # 10 minutes per subplan
```
### Monitoring Parallel Execution
```
# Watch parallel execution in real-time
agents plan tree PLAN_ID --watch
# View execution metrics
agents plan show PLAN_ID --format json | jq '.execution_metrics'
```
---
## Large-Scale Autonomous Task Execution
CleverAgents v3.5.0 is validated against realistic large-scale porting tasks.
### Acceptance Criteria
The following acceptance criteria were validated for v3.5.0:
- A2A facade session and plan lifecycle operations functional via CLI
- Event queue publish/subscribe operational
- Guard enforcement works (denylist, budget caps, tool call limits)
- Automation profile resolution precedence correct (plan > action > global)
- Full autonomy acceptance flow with hierarchical decomposition (4+ levels)
- Parallel execution scales to 10+ concurrent subplans
- A realistic porting task completes autonomously
- `nox` passes with coverage >= 97% including large-project suites
### Example: Autonomous Codebase Porting
```
# Create a plan for a large-scale porting task
agents plan create --profile auto \
"Port the Firefox rendering engine from C++ to Rust, \
maintaining all existing test coverage and API compatibility"
# Link the source project
agents plan link PLAN_ID --resource firefox-source
# Execute autonomously
agents plan execute PLAN_ID
# Monitor progress
agents plan tree PLAN_ID --watch
```
### Performance at Scale
| Metric | v3.4.0 | v3.5.0 |
|--------|--------|--------|
| Max parallel subplans | 4 | 10+ |
| Max decomposition depth | 2 | 4+ |
| Decision correction scope | Full recompute | Subtree only |
| Large project support | 10K files | 50K+ files |
---
## Troubleshooting
### Guard Violations
If a guard is triggered unexpectedly:
1. Check the guard violation report: `agents plan show PLAN_ID --format json | jq '.guard_violations'`
2. Review guard configuration: `agents config show guards`
3. Adjust guard limits if appropriate: `agents config set guards.budget.max_llm_tokens 2000000`
### Automation Profile Errors
If you see `ValidationError: unknown automation profile`:
- This was fixed in v3.5.0 (automation profile silent fallback fix)
- Ensure you are using a built-in profile: `manual`, `semi-auto`, `auto`, or `supervised`
- Custom profiles must be defined in `.cleveragents/profiles/`
### Parallel Execution Failures
If parallel subplans are not being cancelled on failure:
- This was fixed in v3.5.0 (SubplanExecutionService fail_fast cancellation fix)
- Ensure you are running v3.5.0 or later
- Check `fail_fast` configuration: `agents config show execution.fail_fast`
---
*See also: [A2A Protocol API Reference](api/a2a.md) | [Actor System](api/actor.md) | [ADR-047: A2A Standard Adoption](adr/ADR-047-acp-standard-adoption.md)*
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# Advanced Context Management System (ACMS)
> **Milestone:** v3.4.0 — ACMS v1 + Context Scaling
The Advanced Context Management System (ACMS) provides intelligent, budget-aware context assembly for CleverAgents. It enables projects with 10,000+ files to be indexed and queried efficiently, assembling scoped context views for actors within configurable budget constraints.
---
## Overview
ACMS solves the fundamental challenge of providing LLM actors with the right context at the right time, without exceeding token budgets or degrading performance on large codebases.
Key capabilities:
- **Large-scale indexing** — Projects with 10,000+ files index without timeout
- **Budget enforcement** — Configurable `max_file_size` and `max_total_size` constraints
- **Tiered storage** — Hot/warm/cold storage tiers manage context lifecycle
- **Scoped assembly** — Context views are scoped per actor and per resource
- **CLI integration** — Full `agents context` command suite
---
## Context Policies
Context policies define how context is assembled for a given view. Policies are configurable at the project level and can be overridden per view.
### Configuration
Context policies are stored in `.cleveragents/config.toml` under the `[context]` section:
```toml
[context]
# Maximum size of a single file to include in context (bytes)
max_file_size = 262144 # 256 KB default
# Maximum total size of all context fragments combined (bytes)
max_total_size = 10485760 # 10 MB default
# Storage tier thresholds
hot_tier_max_fragments = 50
warm_tier_max_fragments = 200
cold_tier_max_fragments = 2000
# File patterns to exclude from indexing
exclude_patterns = [
".git/**",
"node_modules/**",
"__pycache__/**",
"*.pyc",
"*.bin",
"*.exe",
]
```
### View-Specific Settings
Individual context views can override global policy settings:
```toml
[context.views.execute]
max_file_size = 131072 # 128 KB for execute view
max_total_size = 5242880 # 5 MB for execute view
[context.views.strategize]
max_file_size = 524288 # 512 KB for strategize view
max_total_size = 20971520 # 20 MB for strategize view
```
---
## Budget Enforcement
ACMS enforces two budget constraints during context assembly:
### `max_file_size`
Controls the maximum size of any single file included in a context fragment. Files exceeding this limit are excluded from context assembly.
- **Default:** 256 KB (`262144` bytes)
- **Purpose:** Prevents single large files from consuming the entire context budget
- **Behavior:** Files exceeding the limit are logged at `DEBUG` level and skipped
### `max_total_size`
Controls the maximum combined size of all context fragments in a single assembled view.
- **Default:** 10 MB (`10485760` bytes)
- **Purpose:** Ensures the assembled context fits within LLM token budgets
- **Behavior:** Once the total budget is reached, lower-priority fragments are excluded
### Binary File Exclusion
Binary files are automatically excluded from context assembly regardless of size settings. Detection uses content-based heuristics (null byte scanning) rather than file extension matching.
---
## CLI Commands
The `agents context` command suite provides full control over context management.
### `agents context list`
Lists all context fragments currently in the tier service, grouped by storage tier.
```
agents context list [--plan PLAN_ID] [--format {table,json,plain}]
```
**Options:**
| Option | Description |
|--------|-------------|
| `--plan PLAN_ID` | Filter fragments by plan ID |
| `--format` | Output format (default: `table`) |
### `agents context add`
Manually adds a file or directory to the context tier service.
```
agents context add PATH [--tier {hot,warm,cold}] [--plan PLAN_ID]
```
**Options:**
| Option | Description |
|--------|-------------|
| `PATH` | File or directory path to add |
| `--tier` | Target storage tier (default: `warm`) |
| `--plan PLAN_ID` | Associate fragment with a specific plan |
**Example:**
```
# Add a single file to hot tier
agents context add src/critical_module.py --tier hot
# Add a directory to warm tier
agents context add src/utils/ --tier warm --plan 01HXYZ...
```
### `agents context show`
Displays detailed information about a specific context fragment or the assembled context view for a plan.
```
agents context show [FRAGMENT_ID | --plan PLAN_ID] [--format {table,json,plain}]
```
**Options:**
| Option | Description |
|--------|-------------|
| `FRAGMENT_ID` | Show details for a specific fragment |
| `--plan PLAN_ID` | Show assembled context view for a plan |
| `--format` | Output format (default: `table`) |
### `agents context clear`
Removes context fragments from the tier service.
```
agents context clear [--tier {hot,warm,cold,all}] [--plan PLAN_ID] [--confirm]
```
**Options:**
| Option | Description |
|--------|-------------|
| `--tier` | Clear only the specified tier (default: `all`) |
| `--plan PLAN_ID` | Clear only fragments for a specific plan |
| `--confirm` | Skip confirmation prompt |
---
## Hot/Warm/Cold Storage Tiers
ACMS uses a three-tier storage model to manage context lifecycle efficiently.
### Tier Definitions
| Tier | Description | Access Speed | Eviction Policy |
|------|-------------|--------------|-----------------|
| **Hot** | Actively used fragments for the current actor | Immediate | LRU when capacity exceeded |
| **Warm** | Recently accessed fragments, likely to be reused | Fast | LRU + staleness-based |
| **Cold** | Indexed but infrequently accessed fragments | Slower | Age-based + LRU |
### Tier Promotion and Demotion
Fragments move between tiers automatically based on access patterns:
- **Promotion:** A fragment accessed from `warm` or `cold` is promoted toward `hot`
- **Demotion:** Fragments not accessed within the staleness window are demoted
- **Eviction:** When a tier reaches capacity, the least-recently-used fragment is evicted to the next tier or removed
### Thread Safety
`ContextTierService` uses a reentrant lock (`threading.RLock`) to ensure thread safety when parallel subplans share the same DI Singleton instance. All public methods acquire the lock before accessing tier data structures.
---
## Context Assembly Pipeline
The context assembly pipeline transforms raw file content into scoped, budget-constrained context views for LLM actors.
### Pipeline Stages
1. **Hydration**`git ls-files` / `os.walk` enumerates project files into `TieredFragment` objects
2. **Filtering** — Binary exclusion, size limits, and pattern exclusion applied
3. **Tiering** — Fragments assigned to hot/warm/cold based on relevance score
4. **Assembly** — Budget-constrained selection with scope application produces the final context view
### Context Hydration
The `context_tier_hydrator.py` module reads files from linked project resources before context assembly in `LLMExecuteActor.execute()`. It:
1. Resolves project resource paths via `plan.project_links`
2. Enumerates files using `git ls-files` (for git projects) or `os.walk` (for non-git projects)
3. Applies size and binary filters
4. Creates `TieredFragment` objects with metadata
5. Stores fragments in `ContextTierService`
### Scoped Context Views
Context views are scoped per actor and per resource to prevent cross-contamination between parallel subplans.
---
## Large Project Indexing
ACMS is designed to handle projects with 10,000+ files without timeout.
### Performance Characteristics
| Project Size | Indexing Time | Memory Usage |
|-------------|---------------|--------------|
| 1,000 files | < 1 second | ~50 MB |
| 10,000 files | < 10 seconds | ~200 MB |
| 50,000 files | < 60 seconds | ~800 MB |
### Optimization Strategies
1. **Lazy loading** — File content is read on demand, not during initial indexing
2. **Streaming hydration** — Files are processed in batches to limit peak memory usage
3. **Parallel enumeration** — Directory traversal uses thread pools for I/O-bound operations
4. **Incremental updates** — Only changed files (via `git diff`) are re-indexed on subsequent runs
---
## Integration with Plan Execution
ACMS integrates directly with the plan execution pipeline to provide LLM actors with relevant context.
### Automatic Context Injection
When `agents plan execute` runs, ACMS automatically:
1. Hydrates the context tier from project resources
2. Assembles a scoped context view for the execute actor
3. Injects the context view into the LLM prompt
4. Tracks which fragments were used for observability
### Context in Strategy Phase
During `agents plan strategize`, ACMS provides a broader context view to help the strategy actor understand the full project structure before decomposing the plan.
### Context in Apply Phase
During `agents plan apply`, ACMS provides targeted context for validation actors to verify that applied changes are consistent with the project.
### Configuration Example
```toml
[actor.execute]
context_view = "execute"
context_budget_bytes = 5242880
[actor.strategize]
context_view = "strategize"
context_budget_bytes = 20971520
```
---
## Troubleshooting
### Context is Empty
If the LLM receives no file context, check:
1. **Project links** — Ensure the plan has linked project resources (`agents plan link`)
2. **File permissions** — Ensure the agent process can read project files
3. **Budget settings** — Increase `max_total_size` if all files exceed the budget
4. **Exclusion patterns** — Check that source files are not matched by exclusion patterns
### Indexing Timeout
For very large projects:
1. Increase the hydration timeout in config: `context.hydration_timeout_seconds = 120`
2. Add more specific exclusion patterns to reduce the file count
3. Use `agents context add` to manually add only the most relevant files
### Thread Safety Errors
If you see `RuntimeError: dictionary changed size during iteration`:
- This was fixed in v3.4.0 (see `ContextTierService` thread safety fix)
- Ensure you are running v3.4.0 or later
---
*See also: [ACMS / UKO API Reference](api/acms.md) | [Context Hydration Module](modules/context-hydration.md)*
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@@ -45,6 +45,8 @@ nav:
- Automation Tracking: development/automation-tracking.md
- Custom Sandbox Strategy: development/custom_sandbox_strategy.md
- Documentation Writer: development/docs-writer.md
- Context Management (ACMS): context.md
- Autonomy Hardening: autonomy.md
- Implementation Timeline: timeline.md
- FAQ: faq.md
- Reference: reference/