- Fix line-too-long in test_permissions.py docstring
- Fix type annotation in validators.py (callable -> Callable)
- Add --fresh flag to benchmark tests to prevent state resumption
- Exclude direct_benchmark/adapters from pyright (optional deps)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add comprehensive sub-agent spawning infrastructure that enables prompt
strategies to coordinate multiple agents for advanced reasoning patterns.
New files:
- forge/agent/execution_context.py: ExecutionContext, ResourceBudget,
SubAgentHandle, and AgentFactory protocol for sub-agent lifecycle
- agent_factory/default_factory.py: DefaultAgentFactory implementation
- prompt_strategies/lats.py: Language Agent Tree Search using MCTS
with sub-agents for action expansion and evaluation
- prompt_strategies/multi_agent_debate.py: Multi-agent debate with
proposal, critique, and consensus phases
Key changes:
- BaseMultiStepPromptStrategy gains spawn_sub_agent(), run_sub_agent(),
spawn_and_run(), and run_parallel() methods
- Agent class accepts optional ExecutionContext and injects it into strategies
- Sub-agents enabled by default (enable_sub_agents=True)
- Resource limits: max_depth=5, max_sub_agents=25, max_cycles=25
All 7 strategies now available in benchmark:
one_shot, rewoo, plan_execute, reflexion, tree_of_thoughts, lats, multi_agent_debate
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Remove vcrpy and pytest-recording dependencies
- Remove tests/vcr/ directory and vcr_cassettes submodule
- Remove .gitmodules (only had cassette submodule)
- Simplify CI workflow - no more cassette checkout/push/PAT_REVIEW
- Tests requiring API keys now skip if not set (fork PRs)
- Update CLAUDE.md files to remove cassette references
- Fix broken agbenchmark path in pyproject.toml
Security improvement: removes need for PAT with cross-repo write access.
Fork PRs will have API-dependent tests skipped (GitHub protects secrets).
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Previously, when a user selected "Once" or "Always" with feedback (via Tab),
the command was NOT executed because UserFeedbackProvided was raised before
checking the approval scope. This fix changes the architecture from
exception-based to return-value-based.
Changes:
- Add PermissionCheckResult class with allowed, scope, and feedback fields
- Change check_command() to return PermissionCheckResult instead of bool
- Update prompt_fn signature to return (ApprovalScope, feedback) tuple
- Add pending_user_feedback mechanism to EpisodicActionHistory
- Update execute() to handle feedback after successful command execution
- Feedback message explicitly states "Command executed successfully"
- Add on_auto_approve callback for displaying auto-approved commands
- Add comprehensive tests for approval/denial with feedback scenarios
Behavior:
- Once + feedback → Execute command, then send feedback to agent
- Always + feedback → Execute command, save permission, send feedback
- Deny + feedback → Don't execute, send feedback to agent
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add a task management component modeled after Claude Code's TodoWrite:
- TodoItem with recursive sub_items for hierarchical task structure
- todo_write: atomic list replacement with sub-items support
- todo_read: retrieve current todos with nested structure
- todo_clear: clear all todos
- todo_decompose: use smart LLM to break down tasks into sub-steps
Features:
- Hierarchical task tracking with independent status per sub-item
- MessageProvider shows todos in LLM context with proper indentation
- DirectiveProvider adds best practices for task management
- Graceful fallback when LLM provider not configured
Integrates with:
- original_autogpt Agent (full LLM decomposition support)
- ForgeAgent (basic task tracking, no decomposition)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Restructuring the Repo to make it clear the difference between classic autogpt and the autogpt platform:
* Move the "classic" projects `autogpt`, `forge`, `frontend`, and `benchmark` into a `classic` folder
* Also rename `autogpt` to `original_autogpt` for absolute clarity
* Rename `rnd/` to `autogpt_platform/`
* `rnd/autogpt_builder` -> `autogpt_platform/frontend`
* `rnd/autogpt_server` -> `autogpt_platform/backend`
* Adjust any paths accordingly
