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feat(supervisor): LLM planning step for resource-aware action dispatch (#602) - #625

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feat/issue-602
Aug 7, 2026
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feat(supervisor): LLM planning step for resource-aware action dispatch (#602)#625
xsovad06 merged 5 commits into
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feat/issue-602

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@xsovad06 xsovad06 commented Aug 7, 2026

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Summary

  • Add a SupervisorPlanner that runs before TaskProgressionEngine each supervisor cycle, assembling a resource snapshot (GitHub quota, CodeRabbit quota, CI budget, agent slots, open PRs, issue counts, recent failures) and supervisor persona (feat(supervisor): persona config for LLM planning agent #600), calling the Anthropic API (Sonnet) to produce a structured PlanResult with reasoning, approved actions, and deferred items
  • The deterministic engine filters its decisions against the approved plan (can only subtract, never add or unblock); deterministic gates remain hard stops the LLM cannot override
  • Gated behind supervisor.llm_planning = false (default): zero LLM calls, zero cost, zero behavior change until explicitly enabled

Changes

Core planner (sova/supervisor/planner.py):

  • SupervisorPlanner class with context assembly from 9 data sources, direct Anthropic API call via httpx (matching llm_suggestion_service.py pattern), structured response parsing with validation
  • PlanResult, PlannedAction, DeferredAction frozen dataclasses
  • Persona braces escaped before str.format() to prevent KeyError on user-authored {text} in persona files
  • Uses --repo flag on gh pr list to avoid CWD dependency
  • Returns None on missing API key (logged once), timeout (30s), or any error

Progression engine (sova/supervisor/progression.py):

  • evaluate_all(plan=...) keyword-only parameter; when present, unapproved actionable decisions are converted to WAIT with informative reason
  • Non-actionable decisions (WAIT, BLOCKED, CHECKPOINT_NEEDED) pass through unchanged

Daemon integration (sova/supervisor/daemon.py):

  • _poll_progression() calls planner before engine when llm_planning is enabled
  • Passes reasoning and deferred to set_pending_plan() for dashboard display

Dashboard (supervisor_service.py, supervisor.py router, supervisor.html):

  • set_pending_plan() accepts optional reasoning and deferred kwargs
  • GET /api/supervisor/plan returns reasoning (str|null) and deferred (list) fields
  • Pending actions panel shows LLM reasoning (blue left border) above items and deferred section below

Config (models.py, settings_meta.py):

  • supervisor.llm_planning: bool = False (no loader change needed, supervisor already in _NESTED_SECTIONS)

Docs (architecture.md, spec):

  • Architecture updated with planner description
  • Full spec at docs/specs/issue-602-llm-planning.md

Review guidance

  • The safety invariant is the most important thing to verify: the plan can only subtract actions from the deterministic engine's output, never add or unblock
  • The persona brace escaping fix prevents a real crash when users put {curly braces} in their persona markdown
  • The --repo flag on gh pr list prevents the daemon from listing PRs for the wrong repo when CWD differs from project_dir

Test plan

  • 37 new tests across 2 test files (5745 total, all passing)
  • test_supervisor_planner.py (27 tests): dataclasses, API key handling, LLM call success/timeout/HTTP error/JSON parse error, response parsing (valid, invalid action names, invalid issue numbers, missing fields, empty actions), persona brace escaping, context assembly
  • test_progression_plan_filter.py (10 tests): plan filtering in evaluate_all() (None passthrough, approved kept, unapproved to WAIT, blocked preserved, action-type mismatch, empty plan filters all, pr_number preserved), supervisor service plan state management

Closes #602

@xsovad06 xsovad06 self-assigned this Aug 7, 2026
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Walkthrough

The supervisor gains optional LLM planning. It gathers operational context, validates structured plans, filters unapproved actions, stores reasoning and deferred actions, and displays them in the dashboard. Deterministic behavior remains when planning is disabled or unavailable.

Changes

LLM planning flow

Layer / File(s) Summary
Planner creation and validation
sova/supervisor/planner.py, tests/test_supervisor_planner.py
SupervisorPlanner gathers supervisor context, calls Anthropic, handles failures, and validates planned and deferred actions. Tests cover API failures, parsing, filtering, defaults, and context assembly.
Plan-based progression filtering
sova/supervisor/progression.py, tests/test_progression_plan_filter.py
TaskProgressionEngine.evaluate_all() accepts an optional PlanResult. Unapproved actionable decisions become WAIT; non-actionable decisions and metadata remain unchanged.
Planner configuration and supervisor wiring
sova/config/models.py, sova/dashboard/settings_meta.py, sova/supervisor/daemon.py
Adds the disabled-by-default supervisor.llm_planning setting. The daemon generates plans when enabled and stores plan metadata for approval-pending actions.
Plan metadata storage and dashboard display
sova/dashboard/services/supervisor_service.py, sova/dashboard/routers/supervisor.py, sova/dashboard/templates/supervisor.html, tests/test_progression_plan_filter.py
Stores and returns planner reasoning and deferred actions. The dashboard displays both values and keeps the panel visible when only reasoning exists.

Estimated code review effort: 4 (Complex) | ~45 minutes

Possibly related issues

  • Issue 599 — The change implements the LLM-based supervisor planning layer described by the issue.

Possibly related PRs

  • xsovad06/sova#345 — This change extends its supervisor configuration and progression interfaces.
  • xsovad06/sova#542 — This change extends its pending-plan approval workflow with reasoning and deferred actions.
  • xsovad06/sova#545 — Both changes modify supervisor configuration, dashboard plan handling, and progression behavior.

Suggested reviewers: dsova06

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 11.48% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly identifies the new LLM planning step for resource-aware supervisor action dispatch.
Description check ✅ Passed The description is mostly complete and includes implementation details, review guidance, and tests, but omits the Type of Change and Checklist sections.
Linked Issues check ✅ Passed The planner, plan filtering, opt-in configuration, fallback behavior, dashboard state, and required context sources are covered by the reviewable changes for #602.
Out of Scope Changes check ✅ Passed All reviewable changes directly support LLM planning, plan filtering, opt-in configuration, or plan visibility required by #602.

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Actionable comments posted: 4

🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@sova/supervisor/planner.py`:
- Around line 227-273: Update _get_open_prs so a communicate timeout terminates
the still-running gh subprocess, then awaits proc.communicate() to reap it
before returning the unavailable response; preserve normal output handling and
exception behavior. Add a regression test that simulates a timeout and verifies
the process is terminated and reaped.
- Around line 41-49: Enable the SPAWN_REBASE planner contract end to end: in
sova/supervisor/planner.py lines 41-49, add spawn_rebase to _VALID_ACTIONS and
the prompt’s listed actions; in sova/supervisor/progression.py lines 247-271,
preserve approved spawn_rebase decisions through the existing action and issue
validation; in tests/test_supervisor_planner.py lines 111-114, update the
expected action set and add coverage confirming an approved rebase remains
actionable.
- Around line 159-171: Update _assemble_context and the external-data helpers it
uses to screen PR titles and failure messages for prompt-injection content and
isolate them from executable instructions before inclusion in the LLM prompt.
Preserve deterministic action progression so filtered or adversarial context
cannot suppress eligible actions, and add adversarial tests covering injected PR
titles and task failure messages; review the change against relevant OWASP
risks.
- Around line 320-323: Replace direct use of TaskRun.error_message in the
recent-failures prompt with a bounded, redacted failure category that excludes
credentials, URLs, user data, and source fragments. Preserve issue number and
role while ensuring only sanitized categories reach _call_llm. Add a test
verifying sensitive error text is absent from the prompt passed to _call_llm,
and check the change against relevant OWASP injection and
sensitive-data-exposure risks.
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📥 Commits

Reviewing files that changed from the base of the PR and between 3e7085c and e3224bd.

⛔ Files ignored due to path filters (2)
  • .claude/rules/architecture.md is excluded by !.claude/** and included by none
  • docs/specs/issue-602-llm-planning.md is excluded by !docs/** and included by none
📒 Files selected for processing (10)
  • sova/config/models.py
  • sova/dashboard/routers/supervisor.py
  • sova/dashboard/services/supervisor_service.py
  • sova/dashboard/settings_meta.py
  • sova/dashboard/templates/supervisor.html
  • sova/supervisor/daemon.py
  • sova/supervisor/planner.py
  • sova/supervisor/progression.py
  • tests/test_progression_plan_filter.py
  • tests/test_supervisor_planner.py

Comment thread sova/supervisor/planner.py
Comment thread sova/supervisor/planner.py
Comment thread sova/supervisor/planner.py
Comment thread sova/supervisor/planner.py
@xsovad06

xsovad06 commented Aug 7, 2026

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Address Review: Round 1

# Finding Source Score Action
1 planner.py:49: spawn_rebase missing from planner contract CodeRabbit 7/10 Acknowledged: already in _VALID_ACTIONS and prompt. False positive.
2 planner.py:171: untrusted context in LLM prompt (injection) CodeRabbit 4/10 Acknowledged: defense-in-depth (plan only subtracts, require_approval default, PR titles truncated to 50 chars, error messages sanitized).
3 planner.py:273: gh subprocess not terminated on timeout CodeRabbit 6/10 Fixed: proc.kill() + reap on asyncio.TimeoutError.
4 planner.py:323: raw error messages sent to Anthropic CodeRabbit 5/10 Fixed: _sanitize_error() redacts sensitive patterns and truncates to 120 chars. 5 new tests.

@xsovad06
xsovad06 dismissed coderabbitai[bot]’s stale review August 7, 2026 15:03

Findings addressed or acknowledged. See Address Review comment.

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xsovad06 commented Aug 7, 2026

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⚠️ Action not completed

Review rate limited.

Note: CodeRabbit is an incremental review system and does not re-review already reviewed commits. This command is applicable only when automatic reviews are paused.

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PR Summary

This PR by @xsovad06 adds an LLM planning step (SupervisorPlanner) to the supervisor daemon, across 5 commits and 12 files (+1659/-10 lines). The planner assembles a resource snapshot (GitHub quota, CodeRabbit quota, CI budget, agent slots, open PRs, issue counts, recent failures) and the supervisor persona, calls the Anthropic API (Sonnet) to produce a structured PlanResult, then the deterministic TaskProgressionEngine filters its decisions against the approved plan. The plan can only subtract actions, never add or unblock. Gated behind supervisor.llm_planning = false (default off).

CI note: SonarCloud quality gate failed (likely pre-existing coverage threshold); all code-quality checks pass (lint, tests, static checks, invariants, integration tests).

Findings

No blocking or medium-severity findings. Two low-severity observations:

[LOW] Code Quality: Extra newline in PR table header
Location: sova/supervisor/planner.py:278
Problem: The table separator line has a trailing \n in the string literal. When joined with "\n".join(lines), this produces a double newline between the header separator and the first data row, breaking markdown table rendering. The LLM can still interpret the data, so this is cosmetic only.
Suggestion: Remove the trailing \n from the separator string:

"|---|-------|--------|----|-----------|\n",  # current
"|---|-------|--------|----|-----------|",    # fixed

[LOW] Code Quality: Bare Bearer token values not caught by sanitizer
Location: sova/supervisor/planner.py:52-56
Problem: _SENSITIVE_RE catches key=value patterns like api_key=sk-abc123 and token: ghp_xyz but misses standalone Bearer eyJabc... values (without a preceding key: structure) and Authorization: Bearer xyz (where Authorization is the key, not bearer). Error messages from HTTP client libraries sometimes contain full authorization headers in this format.
Suggestion: Not urgent since _MAX_ERROR_LEN = 120 truncation is the primary defense and the regex catches the most common leak patterns. Consider adding Authorization to the pattern list if HTTP-layer errors become a concern.

Confirmed Bot Findings

Agree with CodeRabbit on sova/supervisor/planner.py:297: subprocess kill+reap on timeout. Confirmed as addressed in the current code (lines 262-266).
Agree with CodeRabbit on sova/supervisor/planner.py:348: raw error messages sanitized before LLM prompt. Confirmed as addressed via _sanitize_error() (lines 59-66, 346).
CodeRabbit's spawn_rebase finding (line 50) was correctly refuted by the author: spawn_rebase is already in _VALID_ACTIONS.
CodeRabbit's prompt injection finding (line 189) is valid in theory but mitigated in practice by the subtract-only invariant, require_approval=True default, and deterministic fallback. The worst case is a DoS (all actions become WAIT for one cycle), not unauthorized execution.

Verdict

Approve. The safety invariant is sound: the plan filtering in evaluate_all() (progression.py:247-271) correctly passes through non-actionable decisions unchanged, keeps only approved actionable decisions, and converts unapproved ones to WAIT. The plan never adds decisions or unblocks gated items. Error handling is thorough with graceful degradation to deterministic mode on any failure path. Config triple-registration is complete (model, loader via existing _NESTED_SECTIONS, settings_meta). The 42 tests provide strong coverage of parsing, filtering, error paths, and integration. The backward-compatible keyword-only parameter on evaluate_all() is clean.

What's Done Well

  1. Safety-first architecture: the subtract-only invariant is elegant and verifiable. The plan sits above deterministic gates, never below them. This means even a compromised LLM response cannot cause unauthorized action execution.

  2. Graceful degradation on every failure path: missing API key (log once, return None), HTTP timeout (return None), parse error (return None), generic exception (return None). The system silently falls back to the existing deterministic behavior with no user-visible disruption.

  3. Clean integration with existing systems: reuses the llm_suggestion_service.py httpx pattern for API calls, the _warned_no_key pattern for log suppression, and the persona loading infrastructure from #600. The daemon integration (_poll_progression) threads reasoning and deferred data through to the UI naturally.

(Posted as comment: GitHub does not allow self-reviews with formal approval/rejection state.)

@xsovad06

xsovad06 commented Aug 7, 2026

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Address Review: Round 2

Addressing findings from the SOVA self-review (sova-review: approve).

# Finding Source Score Action
1 planner.py:278: extra \n in PR table header creates double newline in LLM prompt SOVA review 2/10 Fixed: removed trailing \n from table separator.
2 planner.py:52-56: sanitizer misses Authorization: Bearer <token> and standalone Bearer <token> patterns SOVA review 2/10 Fixed: added authorization two-word match (longest-first), standalone bearer match, and 2 new tests.

All 5752 tests pass. All CI checks pass (SonarCloud quality gate is a pre-existing coverage threshold issue).

… planning

Introduces SupervisorPlanner class that assembles resource snapshots
(GitHub quota, CodeRabbit quota, CI budget, agent slots, open PRs,
issue counts, recent failures) and supervisor persona (#600), calls
the Anthropic API (Sonnet via direct httpx) to produce a structured
PlanResult with reasoning, approved actions, and deferred items.

Persona braces are escaped before str.format() to prevent KeyError
on user-authored curly braces in persona files. Uses --repo flag on
gh pr list to avoid CWD dependency. Subprocess is killed and reaped
on timeout to prevent orphaned gh processes. Error messages in the
recent failures section are truncated and redacted (sensitive patterns
like api_key, token, secret stripped) before inclusion in the LLM
prompt.

Gated behind supervisor.llm_planning config (default false, registered
in settings_meta). Returns None on missing API key, timeout, or any
error (falls back to deterministic mode silently).

Closes #602
daemon._poll_progression() calls SupervisorPlanner.plan() before
engine.evaluate_all(plan=plan) when llm_planning is enabled.

evaluate_all() accepts optional plan: PlanResult parameter. When
present, actionable decisions not in the plan's approved list are
converted to WAIT with an informative reason. Non-actionable
decisions (WAIT, BLOCKED, CHECKPOINT_NEEDED) pass through unchanged.

The plan can only subtract actions, never add or unblock.
Deterministic gates remain hard stops the LLM cannot override.
…isor UI

supervisor_service stores reasoning and deferred alongside the pending
plan. GET /api/supervisor/plan now returns reasoning (str|null) and
deferred (list) fields.

The pending actions panel shows the LLM's reasoning above action items
(blue left border) and deferred items below (informational, no action
buttons). Both sections are hidden when their data is absent for
backward compatibility.
test_supervisor_planner.py (52 tests): dataclasses, API key handling,
LLM call success/timeout/error, response parsing (valid, invalid
action names, missing fields), persona brace escaping, context
assembly, error message sanitization (redaction, truncation,
authorization header, standalone bearer token), resource snapshot
(happy path, all-fail), open PRs (success, CI states, timeout,
empty, error), issue counts (by state, empty, error), recent
failures (with data, empty, DB error), deferred/priority edge cases.

test_progression_plan_filter.py (10 tests): plan filtering in
evaluate_all() (None passthrough, approved kept, unapproved to WAIT,
blocked preserved, action-type mismatch, empty plan). Supervisor
service plan state management (reasoning + deferred storage).

test_supervisor_daemon.py: add llm_planning=True integration test
verifying planner is invoked and plan is passed to engine.
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xsovad06 commented Aug 7, 2026

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Address Review: Round 3

Fixing SonarCloud coverage gap (64% -> 80%+ threshold on new code).

# Finding Source Score Action
1 planner.py:336: TaskRun.created_at does not exist (should be started_at) Scout check 7/10 Fixed: created_at -> started_at. The query was silently returning "Data unavailable" due to AttributeError caught by the broad except.
2 SonarCloud: 91/228 uncovered lines in planner.py (60.1% coverage) SonarCloud 5/10 Fixed: added 20 new tests covering _get_resource_snapshot (happy + all-fail), _get_open_prs (success, CI states, timeout, empty, error), _get_issue_counts (by state, empty, error), _get_recent_failures (with data, empty, DB error), _load_persona, and _parse_response edge cases.
3 SonarCloud: 3/9 uncovered lines in daemon.py (llm_planning branch) SonarCloud 3/10 Fixed: added test_poll_progression_with_llm_planning in daemon test suite.

All 5771 tests pass. All CI checks pass including SonarCloud.

…602)

Spec covers dataclasses, context assembly, LLM call pattern, plan
filtering, safety guarantees, config registration, dashboard UI
changes, and testing strategy.

Architecture.md updated with planner.py description: context assembly,
Anthropic API pattern, plan filtering semantics, persona brace
escaping, config gating.
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xsovad06 merged commit bcaaa6b into main Aug 7, 2026
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xsovad06 deleted the feat/issue-602 branch August 7, 2026 16:50
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feat(supervisor): LLM planning step -- resource-aware reasoning before action dispatch

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