fix(workflow): support integration: auto to follow project's initialized AI (#2421)

* fix(workflow): support integration: auto to follow project's initialized AI

Closes #2406

(squashed)

* fix(workflow): combine JSONDecodeError and UnicodeDecodeError handling

Address Copilot feedback: UnicodeDecodeError can be raised by both
read_text() and json.loads(), so combining the handlers ensures both
cases produce a consistent, clear error message.

* fix(workflows): honor integration_state schema guard and modern state in 'integration: auto'

Three Copilot follow-ups on PR #2421:

1. engine.py:799 — `_load_project_integration` was bypassing the same
   schema guard `_read_integration_json` enforces. It now reads the
   schema field directly, returns None on a future schema (so the
   workflow falls back to the literal 'auto' default rather than
   guessing), and routes through `normalize_integration_state` /
   `default_integration_key` so modern installs that record
   `default_integration` / `installed_integrations` (without the
   legacy top-level `integration` field) resolve correctly.

2. test_workflows.py — added two regression cases:
   - `integration: auto` resolves a modern normalized state file
   - `integration: auto` falls back when the state file declares a
     newer `integration_state_schema` than this CLI supports

3. test_cli.py — added a CLI-level regression for the `UnicodeDecodeError`
   branch in `_read_integration_json` to match the existing
   malformed-JSON coverage.

* refactor(integration): extract shared try_read_integration_json helper

Address Copilot review on PR #2421:

Both `_read_integration_json` (CLI) and `_load_project_integration`
(workflow engine) were parsing `.specify/integration.json` independently,
duplicating the schema guard and risking drift between the two readers.

Extract the parse + schema validation into a single low-level helper
`try_read_integration_json` in `integration_state.py` that returns either
the normalized state or a structured `IntegrationReadError`. Both callers
now delegate to this helper:

- CLI keeps its loud-fail UX: each error kind ("decode", "os",
  "not_object", "schema_too_new") is translated into the existing console
  message + typer.Exit(1).
- Engine keeps its silent fallback: any error simply returns None so
  `integration: auto` falls back to the workflow's literal default.

This eliminates the divergence Copilot flagged without changing observable
behavior for either caller.

* fix(integration): distinguish missing file from non-regular path

Address Copilot review on PR #2421:

`try_read_integration_json` was collapsing two distinct cases into a
single `(None, None)` return:

1. `.specify/integration.json` truly missing — silent fallback is correct.
2. Path exists but is a directory, socket, or other non-regular file —
   this is a misconfiguration the CLI should surface loudly.

Split the check: `exists()` falsey returns `(None, None)`; existing-but-
not-a-regular-file returns `(None, IntegrationReadError(kind="os", ...))`
so the CLI's loud-fail path produces an actionable error while the
engine still treats it as a fallback to the workflow's literal default.

* docs(workflow): clarify version pin, advisory integrations list, enum exemption

- workflow.yml: fix comment that said 0.8.3 was first release with auto
  resolution; the pin is >=0.8.5 so the comment now matches the pin.
- workflow.yml: clarify that requires.integrations.any is an advisory,
  non-exhaustive compatibility hint, not a closed set.
- engine.py: clarify that the auto-sentinel exemption only skips enum
  membership; declared type is still enforced through _coerce_input.

* fix(workflow): resolve auto sentinel for provided values; report stat errors

Two Copilot findings fixed:

1. _resolve_inputs only resolved the ``integration: auto`` sentinel when it
   came from the input default. A caller explicitly providing
   ``{"integration": "auto"}`` (which the workflow prompt advertises as a
   valid value) bypassed _resolve_default and the literal "auto" leaked
   to dispatch. Provided values now go through the same resolution path
   as defaults, and the enum-membership exemption applies in both cases.
   Regression test added.

2. try_read_integration_json used Path.exists() / Path.is_file() as a
   pre-check. Both return False on some OSErrors (e.g. permission errors
   during stat), which silently treated an unreadable-but-present file
   as missing — the engine fell back without warning and the CLI failed
   to surface the loud error. The pre-check is gone: read_text() is
   attempted directly, FileNotFoundError means missing (silent fallback),
   IsADirectoryError and other OSErrors become loud IntegrationReadError.

* fix(workflow): enforce declared type for string inputs, reject bool-as-number

Two Copilot findings fixed:

1. _coerce_input previously coerced/validated only ``number`` and
   ``boolean`` types, so ``type: string`` silently accepted any Python
   value (numbers, lists, dicts). A YAML authoring mistake like
   ``type: string`` + ``default: 5`` slipped through. Strings are now
   required to actually be strings; non-strings raise ValueError, which
   surfaces as an ``invalid default`` error from validate_workflow.

2. ``type: number`` accepted ``default: true`` because ``bool`` is a
   subclass of ``int`` (``float(True) == 1.0``). Bools are now rejected
   explicitly in the number path so the YAML mistake fails fast. The
   boolean path is also tightened to reject non-bool / non-string
   values for symmetry.

Comment on the auto-sentinel enum exemption updated to reflect the
stronger guarantee. Regression tests added for both rejections.

* fix(cli): drop unused normalize_integration_state import to satisfy ruff

CI's `uvx ruff check src/` flagged this as F401: the symbol was imported
under a private alias but never referenced. Tests stay green after
removal.

src/specify_cli/__init__.py

@@ -55,7 +55,7 @@ from .integration_state import (
     installed_integration_keys as _installed_integration_keys,
     integration_setting as _integration_setting,
     integration_settings as _integration_settings,
-    normalize_integration_state as _normalize_integration_state,
+    try_read_integration_json as _try_read_integration_json,
     write_integration_json as _write_integration_json_file,
 )
 from .shared_infra import (
@@ -1283,35 +1283,37 @@ integration_app.add_typer(integration_catalog_app, name="catalog")
 
 
 def _read_integration_json(project_root: Path) -> dict[str, Any]:
-    """Load ``.specify/integration.json``. Returns normalized state when present."""
+    """Load ``.specify/integration.json``. Returns normalized state when present.
+
+    Delegates the parse / schema-guard logic to the shared
+    :func:`_try_read_integration_json` helper so the CLI and workflow engine
+    cannot drift on validation rules. Each error variant is translated into
+    the existing loud-fail UX (console message + ``typer.Exit(1)``).
+    """
     path = project_root / INTEGRATION_JSON
-    if not path.exists():
-        return {}
-    try:
-        data = json.loads(path.read_text(encoding="utf-8"))
-    except json.JSONDecodeError as exc:
-        console.print(f"[red]Error:[/red] {path} contains invalid JSON.")
+    state, error = _try_read_integration_json(project_root)
+    if error is None:
+        return state or {}
+    if error.kind == "decode":
+        console.print(f"[red]Error:[/red] {path} contains invalid JSON or is not valid UTF-8.")
         console.print(f"Please fix or delete {INTEGRATION_JSON} and retry.")
-        console.print(f"[dim]Details:[/dim] {exc}")
-        raise typer.Exit(1)
-    except OSError as exc:
+        console.print(f"[dim]Details:[/dim] {error.detail}")
+    elif error.kind == "os":
         console.print(f"[red]Error:[/red] Could not read {path}.")
         console.print(f"Please fix file permissions or delete {INTEGRATION_JSON} and retry.")
-        console.print(f"[dim]Details:[/dim] {exc}")
-        raise typer.Exit(1)
-    if not isinstance(data, dict):
-        console.print(f"[red]Error:[/red] {path} must contain a JSON object, got {type(data).__name__}.")
-        console.print(f"Please fix or delete {INTEGRATION_JSON} and retry.")
-        raise typer.Exit(1)
-    schema = data.get("integration_state_schema")
-    if isinstance(schema, int) and not isinstance(schema, bool) and schema > INTEGRATION_STATE_SCHEMA:
+        console.print(f"[dim]Details:[/dim] {error.detail}")
+    elif error.kind == "not_object":
         console.print(
-            f"[red]Error:[/red] {path} uses integration state schema {schema}, "
+            f"[red]Error:[/red] {path} must contain a JSON object, got {error.detail}."
+        )
+        console.print(f"Please fix or delete {INTEGRATION_JSON} and retry.")
+    elif error.kind == "schema_too_new":
+        console.print(
+            f"[red]Error:[/red] {path} uses integration state schema {error.schema}, "
             f"but this CLI only supports schema {INTEGRATION_STATE_SCHEMA}."
         )
         console.print("Please upgrade Spec Kit before modifying integrations.")
-        raise typer.Exit(1)
-    return _normalize_integration_state(data)
+    raise typer.Exit(1)
 
 
 def _write_integration_json(

src/specify_cli/integration_state.py

@@ -3,6 +3,7 @@
 from __future__ import annotations
 
 import json
+from dataclasses import dataclass
 from pathlib import Path
 from typing import Any
 
@@ -11,6 +12,67 @@ INTEGRATION_JSON = ".specify/integration.json"
 INTEGRATION_STATE_SCHEMA = 1
 
 
+@dataclass(frozen=True)
+class IntegrationReadError:
+    """Structured failure from :func:`try_read_integration_json`.
+
+    Callers map ``kind`` to whatever surface they need (loud CLI error,
+    silent fallback, etc.) without re-implementing the parse/validation logic.
+    """
+
+    kind: str  # "decode", "os", "not_object", "schema_too_new"
+    detail: str = ""
+    schema: int | None = None
+
+
+def try_read_integration_json(
+    project_root: Path,
+) -> tuple[dict[str, Any] | None, IntegrationReadError | None]:
+    """Parse ``.specify/integration.json`` without raising.
+
+    Returns ``(normalized_state, None)`` on success, ``(None, None)`` when the
+    file does not exist, or ``(None, error)`` for any parse / validation
+    failure. This is the single low-level reader; both the CLI's loud
+    ``_read_integration_json`` and the workflow engine's silent
+    ``_load_project_integration`` consume it so the schema guard and parse
+    logic cannot drift between them.
+    """
+    path = project_root / INTEGRATION_JSON
+    # Avoid Path.exists() / Path.is_file() as a pre-check: both return False
+    # on some OSErrors (e.g. permission errors during stat), which would
+    # silently treat an unreadable-but-present file as missing. Attempt the
+    # read directly and distinguish FileNotFoundError (genuinely absent) from
+    # other OSErrors (which become loud errors via the IntegrationReadError
+    # path).
+    try:
+        raw = path.read_text(encoding="utf-8")
+    except FileNotFoundError:
+        return None, None
+    except IsADirectoryError as exc:
+        return None, IntegrationReadError(
+            kind="os",
+            detail=f"{path} exists but is not a regular file: {exc}",
+        )
+    except UnicodeDecodeError as exc:
+        return None, IntegrationReadError(kind="decode", detail=str(exc))
+    except OSError as exc:
+        return None, IntegrationReadError(kind="os", detail=str(exc))
+    try:
+        data = json.loads(raw)
+    except json.JSONDecodeError as exc:
+        return None, IntegrationReadError(kind="decode", detail=str(exc))
+    if not isinstance(data, dict):
+        return None, IntegrationReadError(kind="not_object", detail=type(data).__name__)
+    schema = data.get("integration_state_schema")
+    if (
+        isinstance(schema, int)
+        and not isinstance(schema, bool)
+        and schema > INTEGRATION_STATE_SCHEMA
+    ):
+        return None, IntegrationReadError(kind="schema_too_new", schema=schema)
+    return normalize_integration_state(data), None
+
+
 def clean_integration_key(key: Any) -> str | None:
     """Return a stripped integration key, or None for empty/non-string values."""
     if not isinstance(key, str) or not key.strip():

src/specify_cli/workflows/engine.py

@@ -19,6 +19,10 @@ from typing import Any
 
 import yaml
 
+from ..integration_state import (
+    default_integration_key,
+    try_read_integration_json,
+)
 from .base import RunStatus, StepContext, StepResult, StepStatus
 
 
@@ -143,6 +147,35 @@ def validate_workflow(definition: WorkflowDefinition) -> list[str]:
                     f"Must be 'string', 'number', or 'boolean'."
                 )
 
+            # Validate the default eagerly so authoring mistakes (e.g. a
+            # default not in the declared enum, or a non-numeric default for
+            # a number input) surface at install/validation time instead of
+            # at workflow-execution time. ``"auto"`` for the integration
+            # input is a runtime-resolved sentinel, so only the
+            # enum-membership check is exempted for that exact case — the
+            # declared type is still enforced (e.g. ``type: number`` paired
+            # with ``default: "auto"`` is still rejected).
+            if "default" in input_def:
+                default_value = input_def["default"]
+                is_auto_integration = (
+                    input_name == "integration" and default_value == "auto"
+                )
+                validation_input_def: dict[str, Any] = input_def
+                if is_auto_integration and "enum" in input_def:
+                    validation_input_def = {
+                        key: value
+                        for key, value in input_def.items()
+                        if key != "enum"
+                    }
+                try:
+                    WorkflowEngine._coerce_input(
+                        input_name, default_value, validation_input_def
+                    )
+                except ValueError as exc:
+                    errors.append(
+                        f"Input {input_name!r} has invalid default: {exc}"
+                    )
+
     # -- Steps ------------------------------------------------------------
     if not isinstance(definition.steps, list):
         errors.append("'steps' must be a list.")
@@ -711,16 +744,73 @@ class WorkflowEngine:
             if not isinstance(input_def, dict):
                 continue
             if name in provided:
-                resolved[name] = self._coerce_input(
-                    name, provided[name], input_def
-                )
+                # Resolve sentinels for explicitly-provided values too: a
+                # caller passing ``{"integration": "auto"}`` (which the
+                # workflow prompt advertises as a valid value) must be
+                # treated identically to omitting the input and letting the
+                # default flow through, so dispatch never sees the literal
+                # sentinel.
+                value = self._resolve_default(name, provided[name])
             elif "default" in input_def:
-                resolved[name] = input_def["default"]
+                value = self._resolve_default(name, input_def["default"])
             elif input_def.get("required", False):
                 msg = f"Required input {name!r} not provided."
                 raise ValueError(msg)
+            else:
+                continue
+
+            # When the ``integration`` default could not be resolved against
+            # project state and falls back to the literal ``"auto"``
+            # sentinel, strip ``enum`` from the input definition before
+            # coercion so a workflow that lists specific integrations in
+            # ``enum`` does not crash at runtime on the sentinel value.
+            # NOTE: only enum-membership is skipped; ``_coerce_input``
+            # still enforces the declared ``type`` against the filtered
+            # definition (``string`` rejects non-strings, ``number`` rejects
+            # bools and uncoercible values, ``boolean`` rejects non-bools),
+            # so ill-typed values still fail fast here.
+            coerce_input_def = input_def
+            if (
+                name == "integration"
+                and value == "auto"
+                and "enum" in input_def
+            ):
+                coerce_input_def = {
+                    key: val
+                    for key, val in input_def.items()
+                    if key != "enum"
+                }
+            resolved[name] = self._coerce_input(name, value, coerce_input_def)
         return resolved
 
+    def _resolve_default(self, name: str, default: Any) -> Any:
+        """Resolve special default sentinels against project state.
+
+        For the ``integration`` input, ``"auto"`` resolves to the integration
+        recorded in ``.specify/integration.json`` so workflows dispatch to the
+        AI the project was actually initialized with, instead of a hardcoded
+        value baked into the workflow YAML.
+        """
+        if name == "integration" and default == "auto":
+            resolved = self._load_project_integration()
+            if resolved is not None:
+                return resolved
+        return default
+
+    def _load_project_integration(self) -> str | None:
+        """Read the default integration key from ``.specify/integration.json``.
+
+        Delegates parsing and schema validation to
+        :func:`try_read_integration_json` — the same low-level helper used by
+        the CLI — so the engine cannot drift from CLI behavior on the parse
+        path. Returns ``None`` when the file is missing, malformed, or
+        written by a newer CLI; callers fall back to the literal default.
+        """
+        state, error = try_read_integration_json(self.project_root)
+        if state is None or error is not None:
+            return None
+        return default_integration_key(state)
+
     @staticmethod
     def _coerce_input(
         name: str, value: Any, input_def: dict[str, Any]
@@ -730,6 +820,13 @@ class WorkflowEngine:
         enum_values = input_def.get("enum")
 
         if input_type == "number":
+            # Reject bools explicitly: ``bool`` is a subclass of ``int`` so
+            # ``float(True)`` succeeds and would silently coerce a YAML
+            # authoring mistake like ``type: number`` + ``default: true``
+            # into ``1``. Fail fast instead.
+            if isinstance(value, bool):
+                msg = f"Input {name!r} expected a number, got {value!r}."
+                raise ValueError(msg)
             try:
                 value = float(value)
                 if value == int(value):
@@ -746,6 +843,17 @@ class WorkflowEngine:
                 else:
                     msg = f"Input {name!r} expected a boolean, got {value!r}."
                     raise ValueError(msg)
+            elif not isinstance(value, bool):
+                msg = f"Input {name!r} expected a boolean, got {value!r}."
+                raise ValueError(msg)
+        elif input_type == "string":
+            # Without this, ``type: string`` accepts any Python value
+            # (numbers, lists, dicts) because nothing else rejects it —
+            # YAML ``default: 5`` would slip through. Require an actual
+            # string so authoring mistakes fail at resolve time.
+            if not isinstance(value, str):
+                msg = f"Input {name!r} expected a string, got {value!r}."
+                raise ValueError(msg)
 
         if enum_values is not None and value not in enum_values:
             msg = (