feat(cli): unify runtime-input prompting across declarative flows and crews

Declarative (JSON) crews now resolve inputs the same way declarative flows
do, via a shared crewai_cli.input_prompt module (prompt_for_inputs,
parse_inputs_json, closest_name, is_interactive):

- accept --inputs (previously rejected for crews), forwarded to the crew
  subprocess via CREWAI_JSON_CREW_INPUTS and validated before spinning up uv
- layer --inputs over the crew's declared `inputs` defaults
- prompt for missing {placeholder}s with the same UX as flows, and error
  cleanly with a pointed per-name message when non-interactive
- warn on unknown keys with a "did you mean" suggestion

Unlike flows — whose state schema is authoritative, so unknown keys are
dropped — the crew placeholder scan is heuristic (agent/task text fields
only), so unrecognized keys are warned about but kept, to avoid discarding a
value a field the scan doesn't cover may rely on.

--inputs remains rejected for classic (Python/YAML) crews, which take their
inputs from main.py. run_declarative_flow's private input helpers move to the
shared module with no behavior change.

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

lib/cli/tests/test_run_declarative_flow.py

@@ -5,6 +5,7 @@ from pathlib import Path
 
 import pytest
 
+import crewai_cli.input_prompt as input_prompt_module
 import crewai_cli.run_declarative_flow as run_declarative_flow_module
 
 
@@ -289,7 +290,7 @@ def test_prompts_for_missing_required_when_interactive(
         prompted.append(text)
         return "typed@example.com"
 
-    monkeypatch.setattr(run_declarative_flow_module.click, "prompt", fake_prompt)
+    monkeypatch.setattr(input_prompt_module.click, "prompt", fake_prompt)
 
     run_declarative_flow_module.run_declarative_flow(str(path))