task/ci-matrix-strategy-python-versions
15 Commits
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ce396d2b43 |
build: reordered agent perms
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bdcc44cb09 |
build: read and write permissions set seperate edit since read seems to be getting denied as does write
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3a6d42ee79 |
build: fixed some bad permissions and no longer require prompt to be written to a file for supervisors
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1885990081
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build: auto opencode agents rewritten
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435e409df9
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build: moved all sonnet agents to haiku
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5a57eb9a07
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Build: doom loops are detected and killed
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acb901abf1
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Build: Refined some of the wording in the supervisors to get more reliable performance out of them. Made permissions stricter so we will get less circumvention of intended permissions
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38bcd41338
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Build: Better protection against agents editing the main working directory
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ad069c2012
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Build: Fixed forgejo tool permissions in the agents and fixed the label manager so it reliably works with org level labels
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5a9aaa79ed |
Build: Reinforced label enforcement, and ensure implementation workers dont continue work on a mergable PR.
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8692bb46e5 |
build: Refactored agent definitions to be simpler and less contention
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fc9c730670
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build: Fixed some model settings
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5c584c1cab |
feat(agents): Harden label creation restrictions
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- Block REST API endpoints for label creation at the bash level for all agents. - Restrict `forgejo_create_label` and related MCP tools for all agents. - Restrict `forgejo_add_issue_labels` to only the `forgejo-label-manager`. - Ensure all label operations are centralized through the `forgejo-label-manager`. - Update agent definitions to use the label manager instead of direct API calls or MCP tools for adding labels. This prevents agents from creating new project-level labels and enforces the use of organization-level labels, resolving the issue of duplicate labels being created. |
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db7e044b18 |
refactor: complete tier selector architecture migration for all agents
ci.yml / refactor: complete tier selector architecture migration for all agents (push) Failing after 0s
BREAKING CHANGE: Removed all tier-specific agents in favor of model-agnostic versions
Key changes:
- Create model-agnostic agents:
- behave-tester.md (replaces 4 tier-specific versions)
- robot-tester.md (replaces 4 tier-specific versions)
- coverage-improver.md (replaces coverage-checker with escalation)
- Convert existing agents to support escalation:
- lint-fixer.md (now model-agnostic)
- test-fixer.md (now model-agnostic)
- integration-test-runner.md (now model-agnostic)
- Update tier selectors to support all new agents
- Update quality-gate-escalator to handle all quality fixers
- Update subtask-loop to use quality-gate-escalator for all quality gates
- Empty redundant tier-specific agents for deletion:
- All implementer-{tier}.md files
- All behave-tester-{tier}.md files
- All robot-tester-{tier}.md files
- coverage-checker.md (replaced by coverage-improver.md)
Benefits:
- Eliminates ~90% code duplication
- All agents now support full 4-tier escalation (haiku→codex→sonnet→opus)
- Consistent escalation behavior across all agent types
- Single source of truth for each agent's logic
- Significant cost savings by defaulting to haiku for all quality gates
The system now uses tier selectors (tier-haiku, tier-codex, tier-sonnet,
tier-opus) that set the model and invoke model-agnostic worker agents,
eliminating the need for separate implementations per model tier.
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4aa236b7df |
feat: implement tier selector architecture for escalation without redundancy
BREAKING CHANGE: New escalation architecture eliminates duplicate agent code Key changes: - Add tier selector agents (tier-haiku, tier-codex, tier-sonnet, tier-opus) that set the model and invoke worker agents - Create model-agnostic implementer.md that inherits model from caller - Update unit-test-runner and typecheck-fixer to support escalation - Add quality-gate-escalator to manage escalation for quality fixers - Create subtask-loop-v2.md demonstrating the new architecture - Document the new architecture in escalation-architecture-proposal.md Benefits: - Eliminates 90% code duplication across tier-specific agents - Single source of truth for implementation logic - Easy to add new tiers or modify escalation paths - Consistent behavior across all model tiers - Quality gate fixers now support full escalation starting from haiku The architecture leverages the fact that agents without a model specification inherit the model from their caller, allowing thin tier selectors to control which model executes the actual work. |