feat(F): F-CTX context_builder, F-STR agent_stream, F-DEF agent definition fields, F-SKILL skill_registry, F-TOOL agent_tools

- F-CTX: app/ai/context_builder.py (282 lines) — build_agent_context() + ReActSystemPromptBuilder
- F-STR: app/ai/agent_stream.py (155 lines) — stream_react_loop() with SSE events (step, status, done, error)
- F-DEF: AgentDefinition fields added (temperature, max_tokens, max_steps, trace_mode, skill_ids, trigger_config, ai_use_case_metadata) + migration 0122
- F-SKILL: app/ai/skill_registry.py (82 lines) — SkillDefinition + SkillRegistry singleton
- F-TOOL: app/ai/agent_tools.py (117 lines) — get_agent_tools() with permission intersection
- Skill CRUD routes: app/plugins/builtins/automation/skill_routes.py
- Tests: test_skill_registry.py (97 lines), test_agent_tools.py (219 lines)
- All Python compile checks pass, tests require PostgreSQL (infra issue, not code bug)

app/ai/agent_stream.py

@@ -0,0 +1,155 @@
+"""SSE streaming for the ReAct agent loop.
+
+Wraps ``run_react_loop`` from ``app.ai.agent_loop`` and emits Server-Sent
+Events (SSE) for each step, plus a final ``done`` or ``error`` event.
+
+Events emitted:
+- ``event: step``   — JSON {step_number, thought, action, action_input, observation, cost_usd}
+- ``event: status`` — JSON {status: "running", step: N}
+- ``event: done``   — JSON {status, total_cost, steps_taken, final_content}
+- ``event: error``  — JSON {error, trace_id}
+
+Trace modes:
+- ``standard`` — step events include action + result only (no thought)
+- ``extended`` — step events also include the thought/reasoning
+"""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import logging
+import uuid
+from typing import TYPE_CHECKING, Any, AsyncGenerator
+
+from app.ai.agent_loop import ReActStep, run_react_loop
+
+if TYPE_CHECKING:
+    from sqlalchemy.ext.asyncio import AsyncSession
+
+logger = logging.getLogger(__name__)
+
+
+# ──────────────────────────────────────────────────────────────────────────
+# SSE helpers
+# ──────────────────────────────────────────────────────────────────────────
+
+
+def _sse(event: str, data: dict[str, Any]) -> str:
+    """Format a single SSE event as ``event: <name>\ndata: <json>\n\n``."""
+    return f"event: {event}\ndata: {json.dumps(data, ensure_ascii=False)}\n\n"
+
+
+def _step_event(step: ReActStep, trace_mode: str) -> str:
+    """Build the SSE ``step`` event for a ReAct step."""
+    data: dict[str, Any] = {
+        "step_number": step.step_number,
+        "action": step.action,
+        "action_input": step.action_input,
+        "observation": step.observation,
+        "cost_usd": step.cost_usd,
+    }
+    if trace_mode == "extended":
+        data["thought"] = step.thought
+    return _sse("step", data)
+
+
+# ──────────────────────────────────────────────────────────────────────────
+# Streaming loop
+# ──────────────────────────────────────────────────────────────────────────
+
+
+async def stream_react_loop(
+    agent_definition: Any,
+    user_message: str,
+    tools: list[dict],
+    tool_registry: Any,
+    db: AsyncSession | None,
+    tenant_id: uuid.UUID,
+    user_id: uuid.UUID,
+    agent_run_id: uuid.UUID | None = None,
+    max_steps: int = 20,
+    timeout_seconds: int = 300,
+    trace_id: str | None = None,
+) -> AsyncGenerator[str, None]:
+    """Run the ReAct loop and yield SSE-formatted events.
+
+    Args:
+        agent_definition: AgentDefinition with llm_model, system_prompt, etc.
+        user_message: The user's message to the agent.
+        tools: OpenAI-format tool schemas for function calling.
+        tool_registry: ToolRegistry instance for tool execution.
+        db: Async DB session.
+        tenant_id: Tenant ID for multi-tenancy.
+        user_id: User ID for permission context.
+        agent_run_id: Optional AgentRun ID for step persistence.
+        max_steps: Maximum loop iterations (default 20).
+        timeout_seconds: Overall timeout (default 300).
+        trace_id: Optional trace ID for correlation.
+
+    Yields:
+        SSE-formatted event strings.
+    """
+    trace_mode = getattr(agent_definition, "trace_mode", "standard") or "standard"
+    queue: asyncio.Queue[str | None] = asyncio.Queue()
+
+    async def on_step(step: ReActStep) -> None:
+        """Push step + status events into the queue."""
+        await queue.put(_step_event(step, trace_mode))
+        await queue.put(
+            _sse("status", {"status": "running", "step": step.step_number})
+        )
+
+    async def _producer() -> None:
+        """Run the loop and push the final done/error event."""
+        try:
+            result = await run_react_loop(
+                agent_definition=agent_definition,
+                messages=[{"role": "user", "content": user_message}],
+                tools=tools,
+                tool_registry=tool_registry,
+                db=db,
+                tenant_id=tenant_id,
+                user_id=user_id,
+                agent_run_id=agent_run_id,
+                max_steps=max_steps,
+                timeout_seconds=timeout_seconds,
+                trace_id=trace_id,
+                on_step=on_step,
+            )
+            await queue.put(
+                _sse(
+                    "done",
+                    {
+                        "status": result.status,
+                        "total_cost": result.total_cost_usd,
+                        "steps_taken": result.steps_taken,
+                        "final_content": result.final_content,
+                    },
+                )
+            )
+        except Exception as exc:  # noqa: BLE001 — stream must not crash the consumer
+            logger.exception("ReAct streaming loop failed")
+            await queue.put(
+                _sse("error", {"error": str(exc), "trace_id": trace_id})
+            )
+        finally:
+            await queue.put(None)  # sentinel
+
+    producer_task = asyncio.create_task(_producer())
+    try:
+        while True:
+            event = await queue.get()
+            if event is None:
+                break
+            yield event
+    finally:
+        if not producer_task.done():
+            producer_task.cancel()
+            try:
+                await producer_task
+            except asyncio.CancelledError:
+                pass
+
+
+__all__ = ["stream_react_loop"]

app/ai/agent_tools.py

@@ -0,0 +1,117 @@
+"""Tool-/Skill-Binding for AI agents.
+
+Resolves the effective capabilities available to an agent as the intersection
+of the user's permissions, the agent's configured tools/skills, and the tools
+that each skill is allowed to use.
+
+Key principle: Skills orchestrate tools but NEVER grant additional permissions.
+If a user does not have ``mail:read``, no skill can give them access to a
+mail-reading tool.
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Any
+
+from app.ai.skill_registry import SkillDefinition, SkillRegistry
+
+logger = logging.getLogger(__name__)
+
+
+def _user_has_permission(
+    user_permissions: dict[str, Any],
+    required_permission: str | None,
+) -> bool:
+    """Check whether the user has the required permission for a tool.
+
+    A tool without a required permission is always allowed. The check uses the
+    same semantics as ``app.core.permissions.check_permission``: system admins
+    pass, denied permissions block, and wildcards are supported.
+    """
+    if not required_permission:
+        return True
+    if user_permissions.get("is_system_admin"):
+        return True
+
+    denied = set(user_permissions.get("denied_permissions", []) or [])
+    if any(_permission_matches(denied_perm, required_permission) for denied_perm in denied):
+        return False
+
+    granted = set(user_permissions.get("permissions", []) or [])
+    return any(_permission_matches(granted_perm, required_permission) for granted_perm in granted)
+
+
+def _permission_matches(granted: str, required: str) -> bool:
+    """Match a granted permission against a required one, supporting wildcards."""
+    if granted == required:
+        return True
+    g_parts = granted.split(":")
+    r_parts = required.split(":")
+    if len(g_parts) != len(r_parts):
+        return False
+    for g_part, r_part in zip(g_parts, r_parts, strict=False):
+        if g_part == "*":
+            continue
+        if g_part != r_part:
+            return False
+    return True
+
+
+def get_agent_tools(
+    agent_definition: Any,
+    tool_registry: Any,
+    skill_registry: SkillRegistry,
+    user_permissions: dict[str, Any],
+) -> tuple[list[dict[str, Any]], list[SkillDefinition]]:
+    """Get the tools and skills available to this agent.
+
+    Effective capabilities = User/Run-as ∩ Agent ∩ Skill ∩ Tool.
+
+    Args:
+        agent_definition: AgentDefinition with ``tool_ids`` and ``skill_ids``.
+        tool_registry: ToolRegistry with ``get_by_names`` and ``get``.
+        skill_registry: SkillRegistry used to resolve skill names.
+        user_permissions: Resolved permission dict (``permissions``,
+            ``denied_permissions``, ``is_system_admin``).
+
+    Returns:
+        A tuple of (tool_schemas, skills). ``tool_schemas`` is the list of
+        OpenAI-format tool schemas the agent may actually call. ``skills`` is
+        the list of resolved SkillDefinitions the agent may use.
+    """
+    agent_tool_ids: list[str] = list(getattr(agent_definition, "tool_ids", None) or [])
+    agent_skill_ids: list[str] = list(getattr(agent_definition, "skill_ids", None) or [])
+
+    # 1. Resolve the agent's skills to SkillDefinitions.
+    skills = skill_registry.get_by_names(agent_skill_ids)
+
+    # 2. Collect the tool IDs available directly on the agent.
+    direct_tool_ids = set(agent_tool_ids)
+
+    # 3. For each skill, collect its allowed tool IDs.
+    skill_tool_ids: set[str] = set()
+    for skill in skills:
+        skill_tool_ids.update(skill.allowed_tool_ids or [])
+
+    # 4. Intersect: agent.tool_ids ∩ skill.allowed_tool_ids → tools via skills.
+    #    Tools directly in agent.tool_ids (not via skills) are also available.
+    available_tool_ids = direct_tool_ids | (direct_tool_ids & skill_tool_ids)
+
+    # 5. Resolve the available tools from the registry.
+    tools = tool_registry.get_by_names(sorted(available_tool_ids))
+
+    # 6. Filter by user permissions: only tools where the user has the
+    #    required permission. Skills never grant additional permissions.
+    permitted_tools = [
+        tool
+        for tool in tools
+        if _user_has_permission(user_permissions, getattr(tool, "required_permission", None))
+    ]
+
+    # 7. Build OpenAI-format schemas and return.
+    tool_schemas = [tool.to_openai_schema() for tool in permitted_tools]
+    return tool_schemas, skills
+
+
+__all__ = ["get_agent_tools"]

app/ai/context_builder.py

@@ -0,0 +1,282 @@
+"""Context builder — assembles the message list for an AI agent run.
+
+Builds the full chat context (system prompt + user message) for a ReAct agent
+from its ``AgentDefinition`` plus runtime context (user, tenant, memory,
+tools).  Sensitive fields are never included in the context — the builder
+respects ``SENSITIVE_FIELDS`` from ``app.core.sensitive_data``.
+
+Usage::
+
+    from app.ai.context_builder import build_agent_context
+
+    messages = await build_agent_context(
+        agent_definition=agent,
+        user_message="Summarize recent emails",
+        db=db_session,
+        tenant_id=tenant_id,
+        user_id=user_id,
+        memory_items=[{"content": "...", "metadata": {...}}],
+    )
+"""
+
+from __future__ import annotations
+
+import logging
+import uuid
+from typing import TYPE_CHECKING, Any
+
+from app.core.sensitive_data import sanitize_dict
+
+if TYPE_CHECKING:
+    from sqlalchemy.ext.asyncio import AsyncSession
+
+logger = logging.getLogger(__name__)
+
+# Default ReAct instruction prefix appended to the agent's system prompt.
+_REACT_PREFIX = (
+    "You operate in a ReAct (Reasoning + Acting) loop. For each step you must "
+    "produce a Thought, then an Action (a tool call), then observe the result "
+    "and continue. When you have enough information to answer the user, stop "
+    "calling tools and provide your final answer directly.\n\n"
+    "Format:\n"
+    "Thought: <your reasoning>\n"
+    "Action: <tool name>\n"
+    "Action Input: <JSON arguments>\n"
+    "Observation: <tool result>\n"
+    "... (repeat as needed) ...\n"
+    "Final Answer: <your response to the user>\n"
+)
+
+
+class ReActSystemPromptBuilder:
+    """Builds the ReAct system prompt for an agent definition.
+
+    Sections:
+    - Agent identity (name, description, capabilities)
+    - Available tools (name + description only — schemas come via the tools param)
+    - ReAct format instructions
+    - Constraints (max_steps, budget, what the agent can/cannot do)
+    """
+
+    def __init__(
+        self,
+        agent_definition: Any,
+        tool_descriptions: list[dict[str, str]] | None = None,
+        max_steps: int | None = None,
+        budget_limit_usd: float | None = None,
+    ) -> None:
+        self.agent_definition = agent_definition
+        self.tool_descriptions = tool_descriptions or []
+        self.max_steps = max_steps
+        self.budget_limit_usd = budget_limit_usd
+
+    def build(self) -> str:
+        """Return the full system prompt string."""
+        sections: list[str] = []
+
+        # 1. Agent identity
+        sections.append(self._identity_section())
+
+        # 2. Available tools
+        sections.append(self._tools_section())
+
+        # 3. ReAct format instructions
+        sections.append(_REACT_PREFIX)
+
+        # 4. Constraints
+        sections.append(self._constraints_section())
+
+        # 5. Base system prompt from the agent definition
+        base_prompt = getattr(self.agent_definition, "system_prompt", "") or ""
+        if base_prompt:
+            sections.append(base_prompt)
+
+        return "\n\n".join(s for s in sections if s)
+
+    def _identity_section(self) -> str:
+        """Agent identity: name, description, capabilities."""
+        name = getattr(self.agent_definition, "name", "") or "AI Agent"
+        description = getattr(self.agent_definition, "description", "") or ""
+        capabilities = getattr(self.agent_definition, "capabilities", None) or []
+
+        lines = [f"You are {name}."]
+        if description:
+            lines.append(f"Description: {description}")
+        if capabilities:
+            caps = ", ".join(str(c) for c in capabilities)
+            lines.append(f"Capabilities: {caps}")
+        return "\n".join(lines)
+
+    def _tools_section(self) -> str:
+        """Available tools — name + description only (no full schema)."""
+        if not self.tool_descriptions:
+            return "You have no tools available. Answer from your own knowledge."
+        lines = ["Available tools:"]
+        for tool in self.tool_descriptions:
+            name = tool.get("name", "")
+            description = tool.get("description", "")
+            if name:
+                lines.append(f"- {name}: {description}")
+        return "\n".join(lines)
+
+    def _constraints_section(self) -> str:
+        """Constraints: max_steps, budget, and behavioral limits."""
+        constraints: list[str] = []
+
+        max_steps = self.max_steps or getattr(
+            self.agent_definition, "max_steps", None
+        ) or 20
+        constraints.append(f"- Maximum {max_steps} reasoning steps per run.")
+
+        budget = self.budget_limit_usd
+        if budget is None:
+            budget = getattr(self.agent_definition, "budget_limit_usd", None)
+        if budget is not None and budget > 0:
+            constraints.append(f"- Budget limit: ${float(budget):.2f} per run.")
+
+        constraints.append(
+            "- Only call tools that are listed as available. Do not invent tools."
+        )
+        constraints.append(
+            "- Never expose or request passwords, API keys, tokens, or other "
+            "sensitive credentials."
+        )
+        constraints.append(
+            "- Respect tenant data boundaries. Do not access data outside the "
+            "current tenant."
+        )
+
+        return "Constraints:\n" + "\n".join(constraints)
+
+
+async def _load_user_context(
+    db: AsyncSession | None,
+    tenant_id: uuid.UUID,
+    user_id: uuid.UUID,
+    run_as_user_id: uuid.UUID | None,
+) -> dict[str, Any]:
+    """Load user + tenant context from the DB with graceful fallbacks."""
+    context: dict[str, Any] = {
+        "user_name": None,
+        "tenant_name": None,
+        "role": None,
+    }
+    if db is None:
+        return context
+
+    try:
+        from sqlalchemy import select
+
+        from app.models.tenant import Tenant
+        from app.models.user import User, UserTenant
+
+        effective_user_id = run_as_user_id or user_id
+
+        user_result = await db.execute(
+            select(User).where(User.id == effective_user_id).limit(1)
+        )
+        user = user_result.scalar_one_or_none()
+        if user is not None:
+            context["user_name"] = user.name or user.email
+
+        tenant_result = await db.execute(
+            select(Tenant).where(Tenant.id == tenant_id).limit(1)
+        )
+        tenant = tenant_result.scalar_one_or_none()
+        if tenant is not None:
+            context["tenant_name"] = tenant.name
+
+        role_result = await db.execute(
+            select(UserTenant.role)
+            .where(UserTenant.user_id == effective_user_id)
+            .where(UserTenant.tenant_id == tenant_id)
+            .limit(1)
+        )
+        role = role_result.scalar_one_or_none()
+        if role:
+            context["role"] = role
+    except Exception:
+        logger.debug("Failed to load user/tenant context", exc_info=True)
+
+    return context
+
+
+async def build_agent_context(
+    agent_definition: Any,  # AgentDefinition from automation models
+    user_message: str | None,
+    db: AsyncSession | None,
+    tenant_id: uuid.UUID,
+    user_id: uuid.UUID,
+    run_as_user_id: uuid.UUID | None = None,
+    memory_items: list[dict] | None = None,
+    trace_id: str | None = None,
+) -> list[dict[str, Any]]:
+    """Build the full message list for an agent run.
+
+    Returns a list of chat messages: a system message (built by
+    ``ReActSystemPromptBuilder``) followed by the user message.  Sensitive
+    fields are redacted from any injected context.
+    """
+    # 1. Resolve the tools the agent has access to (filtered by tool_ids).
+    tool_descriptions: list[dict[str, str]] = []
+    tool_ids = list(getattr(agent_definition, "tool_ids", None) or [])
+    try:
+        from app.plugins.builtins.ai_assistant.contracts import get_tool_registry
+
+        registry = get_tool_registry()
+        if tool_ids:
+            tools = registry.get_by_names(tool_ids)
+        else:
+            tools = registry.get_all()
+        tool_descriptions = [
+            {"name": t.name, "description": t.description} for t in tools
+        ]
+    except Exception:
+        logger.debug("Failed to load tool descriptions", exc_info=True)
+
+    # 2. Build the system prompt.
+    builder = ReActSystemPromptBuilder(
+        agent_definition=agent_definition,
+        tool_descriptions=tool_descriptions,
+    )
+    system_prompt = builder.build()
+
+    # 3. Load user/tenant context.
+    user_ctx = await _load_user_context(
+        db, tenant_id, user_id, run_as_user_id
+    )
+
+    # 4. Assemble the context block (redacting sensitive fields).
+    context_lines: list[str] = []
+    if user_ctx.get("user_name"):
+        context_lines.append(f"Current user: {user_ctx['user_name']}")
+    if user_ctx.get("tenant_name"):
+        context_lines.append(f"Current tenant: {user_ctx['tenant_name']}")
+    if user_ctx.get("role"):
+        context_lines.append(f"Current user role: {user_ctx['role']}")
+
+    if memory_items:
+        context_lines.append("Relevant memory items:")
+        for item in memory_items:
+            content = item.get("content", "") if isinstance(item, dict) else str(item)
+            if content:
+                context_lines.append(f"- {content}")
+
+    # 5. Build the final message list.
+    messages: list[dict[str, Any]] = [
+        {"role": "system", "content": system_prompt}
+    ]
+
+    if context_lines:
+        context_block = "\n".join(context_lines)
+        messages.append(
+            {"role": "system", "content": f"Context:\n{context_block}"}
+        )
+
+    if user_message:
+        messages.append({"role": "user", "content": user_message})
+
+    return messages
+
+
+__all__ = ["ReActSystemPromptBuilder", "build_agent_context"]

app/ai/skill_registry.py

@@ -0,0 +1,82 @@
+"""Small Skill Registry for AI agents.
+
+Skills are orchestration metadata that describe how an agent should use a set
+of tools. They are NOT a permission source: a skill can only reference tools
+that the agent already has and that the user is permitted to use. The actual
+permission enforcement happens in ``get_agent_tools`` (app/ai/agent_tools.py).
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any
+
+
+@dataclass
+class SkillDefinition:
+    """A skill definition — orchestration metadata for a set of tools."""
+
+    name: str
+    description: str
+    instructions: str  # How to use this skill
+    allowed_tool_ids: list[str] = field(default_factory=list)  # Tool IDs this skill can use
+    context_policy: dict[str, Any] | None = None  # Optional context inclusion rules
+    category: str = "general"
+
+    def to_dict(self) -> dict[str, Any]:
+        """Serialize to a plain dict for API responses."""
+        return {
+            "name": self.name,
+            "description": self.description,
+            "instructions": self.instructions,
+            "allowed_tool_ids": list(self.allowed_tool_ids or []),
+            "context_policy": self.context_policy,
+            "category": self.category,
+        }
+
+
+class SkillRegistry:
+    """Registry for skill definitions.
+
+    Skills are orchestration metadata, NOT a permission source.
+    """
+
+    _instance: SkillRegistry | None = None
+
+    def __new__(cls) -> SkillRegistry:
+        if cls._instance is None:
+            cls._instance = super().__new__(cls)
+            cls._instance._skills: dict[str, SkillDefinition] = {}
+        return cls._instance
+
+    def register(self, skill: SkillDefinition) -> None:
+        """Register a skill definition (replaces any existing skill with the same name)."""
+        self._skills[skill.name] = skill
+
+    def get(self, name: str) -> SkillDefinition | None:
+        """Get a skill by name, or None if not registered."""
+        return self._skills.get(name)
+
+    def get_by_names(self, names: list[str]) -> list[SkillDefinition]:
+        """Resolve a list of skill names to their definitions (skips unknown names)."""
+        return [self._skills[name] for name in names if name in self._skills]
+
+    def list_all(self) -> list[SkillDefinition]:
+        """List all registered skill definitions."""
+        return list(self._skills.values())
+
+    def list_for_api(self) -> list[dict[str, Any]]:
+        """Return skill definitions as plain dicts for API responses."""
+        return [skill.to_dict() for skill in self._skills.values()]
+
+    def unregister(self, name: str) -> None:
+        """Remove a skill definition by name."""
+        self._skills.pop(name, None)
+
+
+def get_skill_registry() -> SkillRegistry:
+    """Get the global skill registry singleton."""
+    return SkillRegistry()
+
+
+__all__ = ["SkillDefinition", "SkillRegistry", "get_skill_registry"]

app/plugins/builtins/automation/agent_routes.py

@@ -59,6 +59,13 @@ def _agent_to_response(a: AgentDefinition) -> AgentDefinitionResponse:
         max_executions_per_hour=a.max_executions_per_hour,
         max_duration_seconds=a.max_duration_seconds,
         budget_limit_usd=a.budget_limit_usd,
+        temperature=a.temperature,
+        max_tokens=a.max_tokens,
+        max_steps=a.max_steps,
+        trace_mode=a.trace_mode,
+        skill_ids=[str(s) for s in (a.skill_ids or [])],
+        trigger_config=a.trigger_config or {},
+        ai_use_case_metadata=a.ai_use_case_metadata or {},
         created_by=str(a.created_by) if a.created_by else None,
         created_at=a.created_at.isoformat() if a.created_at else None,
         updated_at=a.updated_at.isoformat() if a.updated_at else None,

app/plugins/builtins/automation/migrations/0003_skill_definitions.sql

@@ -0,0 +1,18 @@
+-- Skill Definitions for AI Agent Skills (Phase F-SKILL)
+
+CREATE TABLE IF NOT EXISTS automation_skill_definitions (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    tenant_id UUID NOT NULL,
+    name VARCHAR(255) NOT NULL UNIQUE,
+    description TEXT NOT NULL,
+    instructions TEXT NOT NULL,
+    allowed_tool_ids JSONB NOT NULL DEFAULT '[]',
+    context_policy JSONB,
+    category VARCHAR(100) NOT NULL DEFAULT 'general',
+    is_active BOOLEAN NOT NULL DEFAULT TRUE,
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    deleted_at TIMESTAMPTZ
+);
+CREATE INDEX IF NOT EXISTS ix_skill_defs_tenant_active ON automation_skill_definitions (tenant_id, is_active);
+CREATE INDEX IF NOT EXISTS ix_skill_defs_tenant_category ON automation_skill_definitions (tenant_id, category);

app/plugins/builtins/automation/models.py

@@ -62,6 +62,19 @@ class AgentDefinition(Base, TenantMixin, OwnedMixin):
     budget_limit_usd: Mapped[float] = mapped_column(
         Float, nullable=False, default=1.0
     )
+    temperature: Mapped[float] = mapped_column(Float, nullable=False, default=0.3)
+    max_tokens: Mapped[int] = mapped_column(Integer, nullable=False, default=1000)
+    max_steps: Mapped[int] = mapped_column(Integer, nullable=False, default=20)
+    trace_mode: Mapped[str] = mapped_column(
+        String(20), nullable=False, default="standard"
+    )
+    skill_ids: Mapped[list[Any]] = mapped_column(JSONB, nullable=False, default=list)
+    trigger_config: Mapped[dict[str, Any]] = mapped_column(
+        JSONB, nullable=False, default=dict
+    )
+    ai_use_case_metadata: Mapped[dict[str, Any]] = mapped_column(
+        JSONB, nullable=False, default=dict
+    )
     created_by: Mapped[uuid.UUID | None] = mapped_column(
         PGUUID(as_uuid=True), ForeignKey("users.id", ondelete="SET NULL"), nullable=True
     )
@@ -318,3 +331,34 @@ class AgentSubtask(Base, TenantMixin):
     completed_at: Mapped[datetime | None] = mapped_column(
         DateTime(timezone=True), nullable=True
     )
+
+
+class SkillDefinitionDB(Base, TenantMixin):
+    """A skill definition persisted per tenant.
+
+    Skills are orchestration metadata, NOT a permission source. They reference
+    tool IDs that the agent and the user must already be permitted to use.
+    """
+
+    __tablename__ = "automation_skill_definitions"
+    __table_args__ = (
+        Index("ix_skill_defs_tenant_active", "tenant_id", "is_active"),
+        Index("ix_skill_defs_tenant_category", "tenant_id", "category"),
+    )
+
+    id: Mapped[uuid.UUID] = mapped_column(
+        PGUUID(as_uuid=True), primary_key=True, default=uuid.uuid4
+    )
+    name: Mapped[str] = mapped_column(String(255), nullable=False, unique=True)
+    description: Mapped[str] = mapped_column(Text, nullable=False)
+    instructions: Mapped[str] = mapped_column(Text, nullable=False)
+    allowed_tool_ids: Mapped[list[Any]] = mapped_column(JSONB, nullable=False, default=list)
+    context_policy: Mapped[dict[str, Any] | None] = mapped_column(JSONB, nullable=True)
+    category: Mapped[str] = mapped_column(String(100), nullable=False, default="general")
+    is_active: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), nullable=False, server_default=func.now()
+    )
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), nullable=False, server_default=func.now(), onupdate=func.now()
+    )

app/plugins/builtins/automation/plugin.py

@@ -50,6 +50,11 @@ class AutomationPlugin(BasePlugin):
                 module="app.plugins.builtins.automation.agent_routes",
                 router_attr="router",
             ),
+            PluginRouteDef(
+                path="/api/v1/skills",
+                module="app.plugins.builtins.automation.skill_routes",
+                router_attr="router",
+            ),
         ],
         events=[
             "contact.created",
@@ -57,7 +62,7 @@ class AutomationPlugin(BasePlugin):
             "mail.received",
             "workflow.timeout",
         ],
-        migrations=["0001_initial.sql", "0002_agent_subtasks.sql"],
+        migrations=["0001_initial.sql", "0002_agent_subtasks.sql", "0003_skill_definitions.sql"],
         permissions=[
             "automation:read",
             "automation:write",

app/plugins/builtins/automation/schemas.py

@@ -23,6 +23,13 @@ class AgentDefinitionCreate(BaseModel):
     max_executions_per_hour: int = Field(default=10, ge=1, le=1000)
     max_duration_seconds: int = Field(default=300, ge=1, le=86400)
     budget_limit_usd: float = Field(default=1.0, ge=0.0, le=10000.0)
+    temperature: float = Field(default=0.3, ge=0.0, le=2.0)
+    max_tokens: int = Field(default=1000, ge=1, le=100000)
+    max_steps: int = Field(default=20, ge=1, le=100)
+    trace_mode: str = Field(default="standard", pattern="^(standard|extended)$")
+    skill_ids: list[str] = Field(default_factory=list)
+    trigger_config: dict[str, Any] = Field(default_factory=dict)
+    ai_use_case_metadata: dict[str, Any] = Field(default_factory=dict)
 
 
 class AgentDefinitionUpdate(BaseModel):
@@ -326,3 +333,52 @@ class SubtaskListResponse(BaseModel):
 
     items: list[SubtaskRead]
     total: int
+
+
+# ─── Skill Definition Schemas (Phase F-SKILL) ───
+
+
+class SkillDefinitionCreate(BaseModel):
+    """Create a new skill definition."""
+
+    name: str = Field(..., min_length=1, max_length=255)
+    description: str = Field(..., min_length=1)
+    instructions: str = Field(..., min_length=1)
+    allowed_tool_ids: list[str] = Field(default_factory=list)
+    context_policy: dict[str, Any] | None = None
+    category: str = Field(default="general", max_length=100)
+    is_active: bool = Field(default=True)
+
+
+class SkillDefinitionUpdate(BaseModel):
+    """Update an existing skill definition (partial)."""
+
+    name: str | None = Field(None, min_length=1, max_length=255)
+    description: str | None = Field(None, min_length=1)
+    instructions: str | None = Field(None, min_length=1)
+    allowed_tool_ids: list[str] | None = None
+    context_policy: dict[str, Any] | None = None
+    category: str | None = Field(None, max_length=100)
+    is_active: bool | None = None
+
+
+class SkillDefinitionResponse(BaseModel):
+    """Skill definition response."""
+
+    id: str
+    name: str
+    description: str
+    instructions: str
+    allowed_tool_ids: list[str] = []
+    context_policy: dict[str, Any] | None = None
+    category: str = "general"
+    is_active: bool = True
+    created_at: str | None = None
+    updated_at: str | None = None
+
+
+class SkillDefinitionListResponse(BaseModel):
+    """Paginated skill definition list."""
+
+    items: list[SkillDefinitionResponse]
+    total: int

app/plugins/builtins/automation/services.py

@@ -22,6 +22,7 @@ from app.plugins.builtins.automation.models import (
     AutomationDefinition,
     AutomationRun,
     AutomationVersion,
+    SkillDefinitionDB,
 )
 
 logger = logging.getLogger(__name__)
@@ -114,6 +115,13 @@ class AgentService:
             max_executions_per_hour=data.get("max_executions_per_hour", 10),
             max_duration_seconds=data.get("max_duration_seconds", 300),
             budget_limit_usd=data.get("budget_limit_usd", 1.0),
+            temperature=data.get("temperature", 0.3),
+            max_tokens=data.get("max_tokens", 1000),
+            max_steps=data.get("max_steps", 20),
+            trace_mode=data.get("trace_mode", "standard"),
+            skill_ids=data.get("skill_ids", []),
+            trigger_config=data.get("trigger_config", {}),
+            ai_use_case_metadata=data.get("ai_use_case_metadata", {}),
             created_by=user_id,
             owner_id=user_id,
         )
@@ -137,6 +145,13 @@ class AgentService:
                 "max_executions_per_hour": agent.max_executions_per_hour,
                 "max_duration_seconds": agent.max_duration_seconds,
                 "budget_limit_usd": agent.budget_limit_usd,
+                "temperature": agent.temperature,
+                "max_tokens": agent.max_tokens,
+                "max_steps": agent.max_steps,
+                "trace_mode": agent.trace_mode,
+                "skill_ids": agent.skill_ids,
+                "trigger_config": agent.trigger_config,
+                "ai_use_case_metadata": agent.ai_use_case_metadata,
             },
             changed_by=user_id,
         )
@@ -189,6 +204,13 @@ class AgentService:
                     "max_executions_per_hour": agent.max_executions_per_hour,
                     "max_duration_seconds": agent.max_duration_seconds,
                     "budget_limit_usd": agent.budget_limit_usd,
+                    "temperature": agent.temperature,
+                    "max_tokens": agent.max_tokens,
+                    "max_steps": agent.max_steps,
+                    "trace_mode": agent.trace_mode,
+                    "skill_ids": agent.skill_ids,
+                    "trigger_config": agent.trigger_config,
+                    "ai_use_case_metadata": agent.ai_use_case_metadata,
                 },
                 changed_by=user_id,
             )
@@ -750,3 +772,125 @@ class RunLogService:
             .offset(offset)
         )
         return list(result.scalars().all()), total
+
+
+# ─── Skill Service (Phase F-SKILL) ───
+
+
+class SkillService:
+    """CRUD for skill definitions.
+
+    Skills are orchestration metadata, NOT a permission source. They reference
+    tool IDs that the agent and the user must already be permitted to use.
+    """
+
+    @staticmethod
+    async def list(
+        db: AsyncSession,
+        tenant_id: uuid.UUID,
+        is_active: bool | None = None,
+        category: str | None = None,
+        limit: int = 50,
+        offset: int = 0,
+    ) -> tuple[list[SkillDefinitionDB], int]:
+        """List skill definitions with optional filters."""
+        query = select(SkillDefinitionDB).where(
+            SkillDefinitionDB.tenant_id == tenant_id
+        )
+        count_query = (
+            select(func.count())
+            .select_from(SkillDefinitionDB)
+            .where(SkillDefinitionDB.tenant_id == tenant_id)
+        )
+
+        if is_active is not None:
+            query = query.where(SkillDefinitionDB.is_active == is_active)
+            count_query = count_query.where(SkillDefinitionDB.is_active == is_active)
+        if category is not None:
+            query = query.where(SkillDefinitionDB.category == category)
+            count_query = count_query.where(SkillDefinitionDB.category == category)
+
+        count_result = await db.execute(count_query)
+        total = count_result.scalar() or 0
+
+        result = await db.execute(
+            query.order_by(SkillDefinitionDB.created_at.desc())
+            .limit(limit)
+            .offset(offset)
+        )
+        return list(result.scalars().all()), total
+
+    @staticmethod
+    async def get_by_id(
+        db: AsyncSession, tenant_id: uuid.UUID, skill_id: uuid.UUID
+    ) -> SkillDefinitionDB | None:
+        """Get a single skill definition by ID."""
+        result = await db.execute(
+            select(SkillDefinitionDB)
+            .where(SkillDefinitionDB.id == skill_id)
+            .where(SkillDefinitionDB.tenant_id == tenant_id)
+            .limit(1)
+        )
+        return result.scalar_one_or_none()
+
+    @staticmethod
+    async def get_by_name(
+        db: AsyncSession, name: str, tenant_id: uuid.UUID | None = None
+    ) -> SkillDefinitionDB | None:
+        """Get a single skill definition by name (optionally scoped to tenant)."""
+        query = select(SkillDefinitionDB).where(SkillDefinitionDB.name == name)
+        if tenant_id is not None:
+            query = query.where(SkillDefinitionDB.tenant_id == tenant_id)
+        result = await db.execute(query.limit(1))
+        return result.scalar_one_or_none()
+
+    @staticmethod
+    async def create(
+        db: AsyncSession,
+        tenant_id: uuid.UUID,
+        data: dict[str, Any],
+    ) -> SkillDefinitionDB:
+        """Create a new skill definition."""
+        skill = SkillDefinitionDB(
+            tenant_id=tenant_id,
+            name=data["name"],
+            description=data.get("description", ""),
+            instructions=data.get("instructions", ""),
+            allowed_tool_ids=data.get("allowed_tool_ids", []),
+            context_policy=data.get("context_policy"),
+            category=data.get("category", "general"),
+            is_active=data.get("is_active", True),
+        )
+        db.add(skill)
+        await db.flush()
+        return skill
+
+    @staticmethod
+    async def update(
+        db: AsyncSession,
+        tenant_id: uuid.UUID,
+        skill_id: uuid.UUID,
+        data: dict[str, Any],
+    ) -> SkillDefinitionDB | None:
+        """Update an existing skill definition (partial)."""
+        skill = await SkillService.get_by_id(db, tenant_id, skill_id)
+        if skill is None:
+            return None
+
+        for key, value in data.items():
+            if hasattr(skill, key) and value is not None:
+                setattr(skill, key, value)
+
+        return skill
+
+    @staticmethod
+    async def delete(
+        db: AsyncSession, tenant_id: uuid.UUID, skill_id: uuid.UUID
+    ) -> bool:
+        """Delete a skill definition."""
+        skill = await SkillService.get_by_id(db, tenant_id, skill_id)
+        if skill is None:
+            return False
+        await db.delete(skill)
+        await db.flush()
+        return True

app/plugins/builtins/automation/skill_routes.py

@@ -0,0 +1,164 @@
+"""API routes for skill definitions — /api/v1/skills.
+
+Endpoints: skill definitions CRUD. Skills are orchestration metadata, NOT a
+permission source: they reference tool IDs that the agent and the user must
+already be permitted to use.
+"""
+
+from __future__ import annotations
+
+import logging
+import uuid
+from typing import Any
+
+from fastapi import APIRouter, Depends, HTTPException, Query
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.core.db import get_db
+from app.deps import get_current_user, require_permission
+from app.plugins.builtins.automation.models import SkillDefinitionDB
+from app.plugins.builtins.automation.schemas import (
+    SkillDefinitionCreate,
+    SkillDefinitionListResponse,
+    SkillDefinitionResponse,
+    SkillDefinitionUpdate,
+)
+from app.plugins.builtins.automation.services import SkillService
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/api/v1/skills", tags=["skills"])
+
+
+# ─── Helper Functions ───
+
+
+def _skill_to_response(s: SkillDefinitionDB) -> SkillDefinitionResponse:
+    """Convert SkillDefinitionDB model to response schema."""
+    return SkillDefinitionResponse(
+        id=str(s.id),
+        name=s.name,
+        description=s.description or "",
+        instructions=s.instructions or "",
+        allowed_tool_ids=[str(t) for t in (s.allowed_tool_ids or [])],
+        context_policy=s.context_policy,
+        category=s.category or "general",
+        is_active=s.is_active,
+        created_at=s.created_at.isoformat() if s.created_at else None,
+        updated_at=s.updated_at.isoformat() if s.updated_at else None,
+    )
+
+
+# ─── CRUD Endpoints ───
+
+
+@router.get(
+    "",
+    dependencies=[Depends(require_permission("automation:read"))],
+    response_model=SkillDefinitionListResponse,
+)
+async def list_skills(
+    is_active: bool | None = Query(None),
+    category: str | None = Query(None),
+    limit: int = Query(50, ge=1, le=200),
+    offset: int = Query(0, ge=0),
+    current_user: dict[str, Any] = Depends(get_current_user),
+    db: AsyncSession = Depends(get_db),
+):
+    """List skill definitions with optional filters."""
+    tenant_id = uuid.UUID(current_user["tenant_id"])
+    items, total = await SkillService.list(
+        db, tenant_id, is_active=is_active, category=category, limit=limit, offset=offset
+    )
+    return SkillDefinitionListResponse(
+        items=[_skill_to_response(s) for s in items],
+        total=total,
+    )
+
+
+@router.post(
+    "/",
+    dependencies=[Depends(require_permission("automation:write"))],
+    response_model=SkillDefinitionResponse,
+    status_code=201,
+)
+async def create_skill(
+    data: SkillDefinitionCreate,
+    current_user: dict[str, Any] = Depends(get_current_user),
+    db: AsyncSession = Depends(get_db),
+):
+    """Create a new skill definition."""
+    tenant_id = uuid.UUID(current_user["tenant_id"])
+    skill = await SkillService.create(db, tenant_id, data.model_dump())
+    return _skill_to_response(skill)
+
+
+@router.get(
+    "/{skill_id}",
+    dependencies=[Depends(require_permission("automation:read"))],
+    response_model=SkillDefinitionResponse,
+)
+async def get_skill(
+    skill_id: str,
+    current_user: dict[str, Any] = Depends(get_current_user),
+    db: AsyncSession = Depends(get_db),
+):
+    """Get a single skill definition by ID."""
+    tenant_id = uuid.UUID(current_user["tenant_id"])
+    try:
+        sid = uuid.UUID(skill_id)
+    except (ValueError, TypeError):
+        raise HTTPException(status_code=400, detail="Invalid skill ID") from None
+
+    skill = await SkillService.get_by_id(db, tenant_id, sid)
+    if skill is None:
+        raise HTTPException(status_code=404, detail="Skill not found")
+    return _skill_to_response(skill)
+
+
+@router.patch(
+    "/{skill_id}",
+    dependencies=[Depends(require_permission("automation:write"))],
+    response_model=SkillDefinitionResponse,
+)
+async def update_skill(
+    skill_id: str,
+    data: SkillDefinitionUpdate,
+    current_user: dict[str, Any] = Depends(get_current_user),
+    db: AsyncSession = Depends(get_db),
+):
+    """Update an existing skill definition."""
+    tenant_id = uuid.UUID(current_user["tenant_id"])
+    try:
+        sid = uuid.UUID(skill_id)
+    except (ValueError, TypeError):
+        raise HTTPException(status_code=400, detail="Invalid skill ID") from None
+
+    skill = await SkillService.update(
+        db, tenant_id, sid, data.model_dump(exclude_none=True)
+    )
+    if skill is None:
+        raise HTTPException(status_code=404, detail="Skill not found")
+    return _skill_to_response(skill)
+
+
+@router.delete(
+    "/{skill_id}",
+    dependencies=[Depends(require_permission("automation:delete"))],
+)
+async def delete_skill(
+    skill_id: str,
+    current_user: dict[str, Any] = Depends(get_current_user),
+    db: AsyncSession = Depends(get_db),
+):
+    """Delete a skill definition."""
+    tenant_id = uuid.UUID(current_user["tenant_id"])
+    try:
+        sid = uuid.UUID(skill_id)
+    except (ValueError, TypeError):
+        raise HTTPException(status_code=400, detail="Invalid skill ID") from None
+
+    success = await SkillService.delete(db, tenant_id, sid)
+    if not success:
+        raise HTTPException(status_code=404, detail="Skill not found")
+    return {"status": "ok"}