chore: add diagnostic logging around workspace git clone

The workspace creation endpoint returns 500 but the actual error is not
visible. Add explicit error logging when GitService.clone fails and info
logging when git creates a directory name different from the one derived
from the remote URL.

Quality gates:
- pytest tests/unit: 219 passed
- mypy: clean on changed files

apps/api/src/.pi-map.md

@@ -4,7 +4,7 @@ dir: apps/api/src
 index: apps/api/src/.pi-map.index.md
 
 ## role
-Core application package for the Headquarter API, providing centralized configuration, database connectivity, structured logging, and FastAPI application initialization.
+Core backend API package for the "Headquarter" service, providing application bootstrap, configuration, database connectivity, and structured logging infrastructure.
 ## files
 - __init__.py | Marks the directory as a Python package for the Headquarter API.
 - config.py | Defines application configuration settings with environment-based overrides using Pydantic, including database URLs, service domains, OAuth/Authentik integration, JWT/session settings, and computed properties for environment-specific behavior. | exp: class:Settings, func:build_database_url(user: str, password: str, host: str, port: int, database: str) → str | dep: pydantic, pydantic_settings
@@ -12,7 +12,7 @@ Core application package for the Headquarter API, providing centralized configur
 - logging_config.py | Configures structured JSON logging with correlation ID injection, custom formatters, and HTTP request/exception middleware for a FastAPI application. | exp: class:CorrelationIdFilter, method:filter(self, record: logging.LogRecord) → bool, call:get_correlation_id, class:JSONFormatter, method:format(self, record: logging.LogRecord) → str, call:self.formatTime, call:record.getMessage, call:getattr, call:self.formatException, call:json.dumps, method:formatTime(self, record: logging.LogRecord, datefmt) → str, call:time.strftime, call:time.gmtime, class:RequestLoggingMiddleware, method:dispatch(self, request: Request, call_next: Callable) → Response, call:time.time, call:logger.info, call:call_next, call:int, call:logger.error, call:type, call:traceback.format_exc, class:ExceptionLoggingMiddleware, method:dispatch(self, request: Request, call_next: Callable) → Response, call:call_next, call:logger.critical, call:traceback.format_exc, func:configure_logging(level) → None, call:JSONFormatter, call:logging.StreamHandler, call:console_handler.setFormatter, call:console_handler.addFilter, call:CorrelationIdFilter, call:root_logger.setLevel, call:logging.getLogger("uvicorn").setLevel, call:logging.getLogger("uvicorn.access").setLevel, call:logging.getLogger("sqlalchemy.engine").setLevel, call:logger.info, call:logging.getLevelName | dep: json, logging, sys, time, traceback, collections.abc, fastapi, starlette.middleware.base, src.services.shared.correlation
 - main.py | Initializes and configures a FastAPI application for the "Headquarter API" with database setup, middleware, routing, and background services. | exp: func:_sanitize_validation_errors(errors), call:error.get, call:str, call:ctx.items, call:isinstance, call:type, call:sanitized.append, func:validation_exception_handler(request: Request, exc: RequestValidationError), call:exc.errors, call:logger.warning, call:_sanitize_validation_errors, call:JSONResponse, func:on_startup(), call:logger.info, call:init_database, call:logger.error, call:sys.exit, call:_health_monitor.start, call:seed_builtin_tool_types, func:on_shutdown(), call:logger.info, call:_health_monitor.stop | dep: logging, os, fastapi, fastapi.exceptions, fastapi.middleware.cors, fastapi.responses, fastapi.staticfiles, src.api.config, src.api.project, src.api.system, src.api.tool, src.api.user, src.api.workspace, src.config, src.models, src.database, src.logging_config, src.seeds.builtin_tool_types, src.services.instance, src.services.shared, sys, src.api.*
 ## arch
-Layered architecture with environment-based Pydantic configuration, async SQLAlchemy with Alembic migrations, structured JSON logging with correlation IDs, and FastAPI middleware/routing pattern.
+Layered FastAPI application architecture using Pydantic settings with environment overrides, async SQLAlchemy with Alembic migrations, dependency injection via lifespan context, and middleware-based cross-cutting concerns (correlation ID tracking, JSON logging, request/exception handling).
 ## tags
 src, database, logging, call:logger.info, api, middleware, fastapi, filter
 ## symbols