fix(cli): filter unknown --inputs keys even on flow persistence restore

Review follow-up: the `id` (persistence-restore) branch of
_resolve_flow_inputs returned the raw payload, so typo keys passed alongside
`id` skipped the unknown-key warning/drop and reached kickoff — which can
fail strict (extra="forbid") flow state models. The restore path now still
warns on and drops unknown keys (keeping `id` and known state fields); it
only skips the required-field prompt and pre-kickoff validation, which
persistence hydrates. Regression test: test_id_restore_still_drops_unknown_keys.

Also drop the duplicate module import in test_input_prompt.py (both `import`
and `from ... import` of crewai_cli.input_prompt) flagged by the code-quality
bot; monkeypatching now uses the string target form.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RBYGqJHC2TMC6fonFziuuh

lib/cli/tests/test_input_prompt.py

@@ -4,7 +4,6 @@ from __future__ import annotations
 
 import pytest
 
-import crewai_cli.input_prompt as input_prompt_module
 from crewai_cli.input_prompt import (
     closest_name,
     parse_inputs_json,
@@ -51,7 +50,7 @@ def test_prompt_for_inputs_uses_describe_and_coerce(monkeypatch, capsys):
         seen.append(text)
         return "42"
 
-    monkeypatch.setattr(input_prompt_module.click, "prompt", fake_prompt)
+    monkeypatch.setattr("crewai_cli.input_prompt.click.prompt", fake_prompt)
 
     result = prompt_for_inputs(
         ["count"],
@@ -71,7 +70,7 @@ def test_prompt_for_inputs_uses_describe_and_coerce(monkeypatch, capsys):
 
 def test_prompt_for_inputs_keeps_raw_string_without_coerce(monkeypatch):
     monkeypatch.setattr(
-        input_prompt_module.click, "prompt", lambda text, **kwargs: "AI"
+        "crewai_cli.input_prompt.click.prompt", lambda text, **kwargs: "AI"
     )
 
     result = prompt_for_inputs(