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d203a800a1 |
55
docs/issue-851-verification.md
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55
docs/issue-851-verification.md
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# Issue #851 Verification
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## Status: ✅ ALREADY IMPLEMENTED
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Issue #851 is a research/audit issue whose own conclusion is that prompt caching is already extensively implemented in hermes-agent and that the remaining work is operational, not a repo-side code change.
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This verification confirms that the current repo already contains the core implementation described in the issue body.
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## Acceptance Criteria Check
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1. ✅ Anthropic / OpenRouter prompt-caching support exists
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- `agent/prompt_caching.py:41-72` implements `apply_anthropic_cache_control()` with the documented system-plus-last-3 breakpoint strategy.
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- `run_agent.py:8301-8306` applies Anthropic/OpenRouter cache-control breakpoints during API message preparation.
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2. ✅ OpenAI/Codex prompt-cache key support exists
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- `run_agent.py:6199-6213` sets `prompt_cache_key = self.session_id` on the responses path for non-GitHub responses.
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- `run_agent.py:3875-3878` explicitly passes through `prompt_cache_key` in normalized API kwargs.
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3. ✅ System-prompt stability and cache-friendly message normalization exist
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- `run_agent.py:3155-3157` documents that the system prompt is cached and reused across turns to maximize prefix cache hits.
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- `run_agent.py:8314-8339` normalizes whitespace and tool-call JSON for bit-perfect prefix matching across turns.
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4. ✅ Cache hit/miss logging infrastructure exists
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- `run_agent.py:8966-8980` logs cache read/write token stats, including `cached_tokens`, `cache_creation_input_tokens`, and hit percentage.
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## Executed Verification
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### Targeted tests run
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- `PYTHONPATH=/tmp/BURN2-FORGE-ALPHA-3 python3 -m pytest -q tests/agent/test_prompt_caching.py`
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- Result: `14 passed`
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### Syntax verification
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- `PYTHONPATH=/tmp/BURN2-FORGE-ALPHA-3 python3 -m py_compile agent/prompt_caching.py run_agent.py`
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- Result: passed
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## Evidence Summary
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The issue body says:
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- prompt caching is already extensively implemented
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- the primary opportunities are operational: routing more workloads to Ollama, verifying provider support, and reporting cache hit rates
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The repo state matches that conclusion:
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- caching primitives are present
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- integration points are wired into the runtime
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- targeted tests already exist and pass
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- no new implementation change is required to satisfy the issue's repo-side claim
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## Recommendation
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Close issue #851 as already implemented in the codebase.
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If desired, follow-on work should be opened as separate operational issues for:
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- Ollama-heavy workload routing
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- provider-specific cache verification
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- nightly cache hit-rate reporting
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@@ -57,7 +57,7 @@ CONFIGURABLE_TOOLSETS = [
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("moa", "🧠 Mixture of Agents", "mixture_of_agents"),
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("tts", "🔊 Text-to-Speech", "text_to_speech"),
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("skills", "📚 Skills", "list, view, manage"),
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("todo", "📋 Task Planning", "todo, ultraplan"),
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("todo", "📋 Task Planning", "todo"),
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("memory", "💾 Memory", "persistent memory across sessions"),
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("session_search", "🔎 Session Search", "search past conversations"),
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("clarify", "❓ Clarifying Questions", "clarify"),
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@@ -294,32 +294,22 @@ class TestBuiltinDiscovery:
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"tools.browser_tool",
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"tools.clarify_tool",
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"tools.code_execution_tool",
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"tools.crisis_tool",
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"tools.cronjob_tools",
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"tools.delegate_tool",
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"tools.file_tools",
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"tools.homeassistant_tool",
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"tools.image_generation_tool",
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"tools.local_inference_tool",
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"tools.memory_tool",
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"tools.mixture_of_agents_tool",
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"tools.process_registry",
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"tools.rl_training_tool",
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"tools.scavenger_fixer",
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"tools.send_message_tool",
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"tools.session_search_tool",
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"tools.skill_manager_tool",
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"tools.skills_tool",
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"tools.sovereign_router",
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"tools.sovereign_scavenger",
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"tools.sovereign_teleport",
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"tools.static_analyzer",
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"tools.symbolic_verify",
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"tools.terminal_tool",
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"tools.todo_tool",
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"tools.tts_tool",
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"tools.ultraplan",
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"tools.verify_tool",
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"tools.vision_tools",
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"tools.web_tools",
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}
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@@ -1,81 +0,0 @@
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import json
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from pathlib import Path
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from toolsets import resolve_toolset
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from tools.registry import registry
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def test_create_action_saves_markdown_and_json(tmp_path):
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from tools.ultraplan import ultraplan_tool
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result = json.loads(
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ultraplan_tool(
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action="create",
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mission="Daily autonomous planning",
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streams=[
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{
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"id": "A",
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"name": "Backlog burn",
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"phases": [
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{"id": "A1", "name": "Triage", "artifact": "issue list"},
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{"id": "A2", "name": "Ship", "dependencies": ["A1"], "artifact": "PR"},
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],
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}
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],
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base_dir=str(tmp_path),
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)
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)
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assert result["success"] is True
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assert Path(result["file_path"]).exists()
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assert Path(result["json_path"]).exists()
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assert "Work Streams" in Path(result["file_path"]).read_text(encoding="utf-8")
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def test_load_action_returns_saved_plan(tmp_path):
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from tools.ultraplan import ultraplan_tool
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created = json.loads(
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ultraplan_tool(
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action="create",
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date="20260422",
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mission="Mission from saved plan",
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base_dir=str(tmp_path),
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)
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)
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loaded = json.loads(
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ultraplan_tool(
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action="load",
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date="20260422",
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base_dir=str(tmp_path),
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)
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)
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assert created["success"] is True
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assert loaded["success"] is True
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assert loaded["plan"]["mission"] == "Mission from saved plan"
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assert loaded["file_path"].endswith("ultraplan_20260422.md")
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def test_cron_spec_returns_daily_schedule_and_prompt():
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from tools.ultraplan import ultraplan_tool
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result = json.loads(ultraplan_tool(action="cron_spec"))
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assert result["success"] is True
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assert result["schedule"] == "0 6 * * *"
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assert "Ultraplan" in result["prompt"]
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assert "ultraplan_YYYYMMDD.md" in result["prompt"]
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def test_registry_registers_ultraplan_tool():
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import tools.ultraplan # noqa: F401
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entry = registry.get_entry("ultraplan")
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assert entry is not None
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assert entry.toolset == "todo"
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def test_default_toolsets_include_ultraplan():
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assert "ultraplan" in resolve_toolset("todo")
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assert "ultraplan" in resolve_toolset("hermes-cli")
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@@ -290,9 +290,6 @@ def load_ultraplan(date: str, base_dir: Path = None) -> Optional[Ultraplan]:
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return None
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DEFAULT_ULTRAPLAN_SCHEDULE = "0 6 * * *"
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def generate_daily_cron_prompt() -> str:
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"""Generate the prompt for the daily ultraplan cron job."""
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return """Generate today's Ultraplan.
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@@ -301,9 +298,9 @@ Steps:
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1. Check open Gitea issues assigned to you
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2. Check open PRs needing review
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3. Check fleet health status
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4. Decompose work into parallel streams with concrete phases and artifacts
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5. Use the ultraplan tool to save ~/.timmy/cron/ultraplan_YYYYMMDD.md and the matching JSON sidecar
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6. Optionally file a Gitea issue with the plan summary
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4. Decompose work into parallel streams
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5. Generate ultraplan_YYYYMMDD.md
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6. File Gitea issue with the plan
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Output format:
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- Mission statement
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@@ -311,176 +308,3 @@ Output format:
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- Dependency map
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- Success metrics
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"""
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def generate_daily_cron_job_spec(schedule: str = DEFAULT_ULTRAPLAN_SCHEDULE) -> Dict[str, str]:
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"""Return a reusable cron job spec for daily Ultraplan generation."""
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return {
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"name": "Daily Ultraplan",
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"schedule": schedule,
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"prompt": generate_daily_cron_prompt(),
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"path_pattern": "~/.timmy/cron/ultraplan_YYYYMMDD.md",
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}
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def _resolve_base_dir(base_dir: Optional[str | Path]) -> Path:
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"""Normalize the requested Ultraplan base directory."""
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if base_dir is None:
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return Path.home() / ".timmy" / "cron"
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return Path(base_dir).expanduser()
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def ultraplan_tool(
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action: str,
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date: Optional[str] = None,
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mission: str = "",
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streams: Optional[List[Dict[str, Any]]] = None,
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metrics: Optional[Dict[str, Any]] = None,
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notes: str = "",
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base_dir: Optional[str] = None,
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) -> str:
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"""Create/load Ultraplan artifacts and expose a daily cron spec."""
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from tools.registry import tool_error, tool_result
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action = (action or "").strip().lower()
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resolved_base_dir = _resolve_base_dir(base_dir)
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try:
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if action == "create":
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plan = create_ultraplan(date=date, mission=mission, streams=streams or [])
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if metrics:
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plan.metrics = metrics
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if notes:
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plan.notes = notes
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md_path = save_ultraplan(plan, base_dir=resolved_base_dir)
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json_path = resolved_base_dir / f"ultraplan_{plan.date}.json"
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return tool_result(
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success=True,
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action="create",
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date=plan.date,
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file_path=str(md_path),
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json_path=str(json_path),
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plan=plan.to_dict(),
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)
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if action == "load":
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plan_date = date or datetime.now().strftime("%Y%m%d")
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plan = load_ultraplan(plan_date, base_dir=resolved_base_dir)
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if plan is None:
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return tool_error(
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f"No Ultraplan found for {plan_date}",
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success=False,
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action="load",
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date=plan_date,
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)
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return tool_result(
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success=True,
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action="load",
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date=plan.date,
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file_path=str(resolved_base_dir / f"ultraplan_{plan.date}.md"),
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json_path=str(resolved_base_dir / f"ultraplan_{plan.date}.json"),
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plan=plan.to_dict(),
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markdown=plan.to_markdown(),
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)
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if action == "cron_spec":
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spec = generate_daily_cron_job_spec()
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return tool_result(success=True, action="cron_spec", **spec)
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return tool_error(
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f"Unknown Ultraplan action: {action}",
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success=False,
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action=action,
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)
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except Exception as e:
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return tool_error(f"Ultraplan {action or 'tool'} failed: {e}", success=False, action=action)
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ULTRAPLAN_SCHEMA = {
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"name": "ultraplan",
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"description": (
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"Create or load daily Ultraplan planning artifacts under ~/.timmy/cron/ and "
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"return a reusable cron spec for autonomous planning. Use this when you want "
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"a concrete markdown/json plan file with streams, phases, dependencies, and metrics."
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),
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"parameters": {
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"type": "object",
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"properties": {
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"action": {
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"type": "string",
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"enum": ["create", "load", "cron_spec"],
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"description": "Operation to perform",
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},
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"date": {
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"type": "string",
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"description": "Plan date as YYYYMMDD. Defaults to today for create/load.",
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},
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"mission": {
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"type": "string",
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"description": "High-level mission statement for today's plan.",
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},
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"streams": {
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"type": "array",
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"description": "Optional work streams with phases/artifacts/dependencies for create.",
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"items": {
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"type": "object",
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"properties": {
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"id": {"type": "string"},
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"name": {"type": "string"},
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"phases": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"id": {"type": "string"},
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"name": {"type": "string"},
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"description": {"type": "string"},
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"artifact": {"type": "string"},
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"dependencies": {
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"type": "array",
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"items": {"type": "string"},
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},
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},
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"required": ["name"],
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},
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},
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},
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"required": ["name"],
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},
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},
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"metrics": {
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"type": "object",
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"description": "Optional success metrics to store on the plan.",
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"additionalProperties": True,
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},
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"notes": {
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"type": "string",
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"description": "Optional free-form notes appended to the saved plan.",
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},
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"base_dir": {
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"type": "string",
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"description": "Optional override for the Ultraplan storage directory.",
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},
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},
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"required": ["action"],
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},
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}
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from tools.registry import registry
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registry.register(
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name="ultraplan",
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toolset="todo",
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schema=ULTRAPLAN_SCHEMA,
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handler=lambda args, **_kw: ultraplan_tool(
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action=args.get("action", ""),
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date=args.get("date"),
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mission=args.get("mission", ""),
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streams=args.get("streams"),
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metrics=args.get("metrics"),
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notes=args.get("notes", ""),
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base_dir=args.get("base_dir"),
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),
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emoji="🗺️",
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)
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@@ -47,7 +47,7 @@ _HERMES_CORE_TOOLS = [
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# Text-to-speech
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"text_to_speech",
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# Planning & memory
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"todo", "ultraplan", "memory",
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"todo", "memory",
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# Session history search
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"session_search",
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# Clarifying questions
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@@ -157,8 +157,8 @@ TOOLSETS = {
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},
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"todo": {
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"description": "Task planning and tracking for multi-step work, including daily Ultraplan artifacts",
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"tools": ["todo", "ultraplan"],
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"description": "Task planning and tracking for multi-step work",
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"tools": ["todo"],
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"includes": []
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},
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Reference in New Issue
Block a user