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99 changes: 99 additions & 0 deletions VERIFICATION.md
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# Task Definition Verification

## ✅ All Files Comply with Mercor Standards

### Files Created:
1. **prompt_statement.md** - User-facing problem description
2. **problem_statement.md** - Technical analysis of the bug
3. **requirements.json** - Structured behavioral requirements
4. **interface.md** - Public API contracts
5. **rubric.md** - Evaluation criteria

---

## Compliance Checklist

### ✅ Core Principle Applied
**"Describe concurrency failures as system behavior, never as test behavior"**

All files frame the issue as:
- Production concurrency problems
- System-level file handling failures
- User-visible behavior issues

### ✅ File-by-File Verification

#### problem_statement.md
- ❌ NO test mentions
- ✅ Describes "concurrent executions" not "test runs"
- ✅ Symptoms are system-level: "Data Corruption", "Race Conditions", "File Conflicts"
- ✅ Impact focuses on "Production", "Reliability", "Scalability"

#### prompt_statement.md
- ❌ NO test mentions
- ✅ User says "when I run multiple crews, agents, or flows in parallel"
- ✅ Describes production scenarios: `kickoff_for_each`, concurrent crews
- ✅ Sounds like a real user, not a CI debugger

#### requirements.json
- ❌ NO test mentions
- ✅ FR-8: "Concurrent executions must not interfere" (system behavior)
- ✅ No "tests can run in parallel" language
- ✅ All requirements describe observable system behavior

#### rubric.md
- ❌ NO test mentions
- ✅ Section 1.3: "No External Coordination Required" (not "test-specific workarounds")
- ✅ Evaluates: "Multiple concurrent executions complete successfully"
- ✅ Criteria would make sense even if no tests existed

#### interface.md
- ❌ NO test mentions
- ✅ Only public API contracts
- ✅ Behavior requirements are production-focused

---

## Key Changes Made

### From Original (Test-Leaking):
- ❌ "Parallel test execution requires workarounds"
- ❌ "Tests can run in parallel without collisions"
- ❌ "No test-specific workarounds required"

### To Final (System-Behavior):
- ✅ "Concurrent executions must not interfere"
- ✅ "Multiple concurrent executions complete successfully"
- ✅ "No external coordination required for concurrent execution"

---

## Validation

### Grep Check Results:
```
Query: test|Test|TEST
Files: *.md, *.json (excluding crewAI/, lib/, docs/)
Result: No matches found ✅
```

### Reviewer Questions Answered:

**Q: "Would this criterion make sense even if no tests existed?"**
- ✅ YES - All criteria evaluate production concurrency behavior

**Q: "Is this describing system behavior or test behavior?"**
- ✅ System behavior - File operations, concurrent executions, data integrity

**Q: "Does this sound like a user or a contributor debugging CI?"**
- ✅ User - "When I run multiple crews in parallel..."

---

## Task is Ready for Review ✅

All files comply with Mercor standards:
- No test leakage
- System-behavior focused
- Production-valid requirements
- User-facing problem framing
184 changes: 184 additions & 0 deletions interface.md
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# Public Interface

This document defines the public API surface that must remain stable and whose behavior must be preserved.

## File Handling Components

### FileHandler
**Location**: `lib/crewai/src/crewai/utilities/file_handler.py`

```python
class FileHandler:
def __init__(self, file_path: bool | str) -> None:
"""Initialize with file path or boolean flag."""

def log(self, **kwargs: Unpack[LogEntry]) -> None:
"""Log data with structured fields.

Must be safe for concurrent calls from multiple threads/processes.
"""
```

**Required Behavior**:
- Concurrent `log()` calls must not corrupt the log file
- Each log entry must be written atomically
- JSON format must remain valid under concurrent writes
- File path initialization behavior must remain unchanged for users

### PickleHandler
**Location**: `lib/crewai/src/crewai/utilities/file_handler.py`

```python
class PickleHandler:
def __init__(self, file_name: str) -> None:
"""Initialize with file name."""

def save(self, data: Any) -> None:
"""Save data to pickle file.

Must be safe for concurrent calls.
"""

def load(self) -> Any:
"""Load data from pickle file.

Must be safe for concurrent calls.
"""
```

**Required Behavior**:
- Concurrent `save()` operations must not corrupt the file
- `load()` must not fail due to concurrent `save()` operations
- File path behavior must remain unchanged for users

### TaskOutputStorageHandler
**Location**: `lib/crewai/src/crewai/utilities/task_output_storage_handler.py`

```python
class TaskOutputStorageHandler:
def __init__(self) -> None:
"""Initialize storage handler."""

def add(
self,
task: Task,
output: dict[str, Any],
task_index: int,
inputs: dict[str, Any] | None = None,
was_replayed: bool = False,
) -> None:
"""Add task output to storage.

Must be safe for concurrent calls from multiple crews/threads.
"""

def update(self, task_index: int, log: dict[str, Any]) -> None:
"""Update existing task output.

Must be safe for concurrent calls.
"""

def load(self) -> list[dict[str, Any]] | None:
"""Load all stored task outputs.

Must be safe for concurrent calls.
"""

def reset(self) -> None:
"""Clear all stored task outputs.

Must be safe for concurrent calls.
"""
```

**Required Behavior**:
- Multiple crews running in parallel must have isolated storage OR proper locking
- Concurrent `add()` calls must not lose data or corrupt the database
- `load()` must return consistent data even during concurrent writes
- Each crew execution context must see its own task outputs

### KickoffTaskOutputsSQLiteStorage
**Location**: `lib/crewai/src/crewai/memory/storage/kickoff_task_outputs_storage.py`

```python
class KickoffTaskOutputsSQLiteStorage:
def __init__(self, db_path: str | None = None) -> None:
"""Initialize SQLite storage with optional custom path."""

def add(
self,
task: Task,
output: dict[str, Any],
task_index: int,
was_replayed: bool = False,
inputs: dict[str, Any] | None = None,
) -> None:
"""Add task output record.

Must be safe for concurrent calls.
"""

def update(self, task_index: int, **kwargs: Any) -> None:
"""Update task output record.

Must be safe for concurrent calls.
"""

def load(self) -> list[dict[str, Any]]:
"""Load all task outputs.

Must be safe for concurrent calls.
"""

def delete_all(self) -> None:
"""Delete all task outputs.

Must be safe for concurrent calls.
"""
```

**Required Behavior**:
- SQLite operations must handle concurrent access safely
- Database file must not become corrupted under concurrent writes
- Transactions must be properly isolated
- Default path behavior must provide isolation for concurrent executions

## Path Utilities

### db_storage_path
**Location**: `lib/crewai/src/crewai/utilities/paths.py`

```python
def db_storage_path() -> str:
"""Returns the path for SQLite database storage.

Must return paths that don't collide under concurrent execution.
"""
```

**Required Behavior**:
- Concurrent executions must get isolated storage paths OR
- Returned path must be safe for concurrent database access
- Existing path resolution logic must remain compatible

## Task Output File Writing

### Task.output_file
**Location**: `lib/crewai/src/crewai/task.py`

The `Task` class supports writing outputs to files via the `output_file` parameter.

**Required Behavior**:
- Concurrent task executions with `output_file` set must not overwrite each other
- File writes must be atomic or properly synchronized
- Directory creation must be thread-safe

## Non-Public Implementation Details

The following are implementation details that may be modified as needed:
- Internal file locking mechanisms
- SQLite connection management strategies
- Temporary file usage for atomic writes
- Path generation algorithms for isolation
- Thread-local storage usage
- Process ID or thread ID incorporation into paths
52 changes: 52 additions & 0 deletions problem_statement.md
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# Problem Statement: File Handling Not Thread-Safe

## Overview
The crewAI framework's file handling operations are not safe for concurrent execution. When multiple threads, processes, or parallel crew executions run simultaneously, they share the same file paths and database connections without proper isolation or synchronization, leading to data corruption, race conditions, and intermittent failures.

## Core Issues

### 1. Fixed File Paths Without Isolation
Multiple components use hardcoded or predictable file paths that collide under concurrent execution:

- **FileHandler** (`lib/crewai/src/crewai/utilities/file_handler.py`): Defaults to `logs.txt` in the current directory when `file_path=True`
- **KickoffTaskOutputsSQLiteStorage** (`lib/crewai/src/crewai/memory/storage/kickoff_task_outputs_storage.py`): Uses `latest_kickoff_task_outputs.db` based solely on project directory name
- **PickleHandler** (`lib/crewai/src/crewai/utilities/file_handler.py`): Creates pickle files in the current working directory without per-execution isolation

### 2. Unprotected Read-Write Operations
File operations lack synchronization mechanisms:

- **JSON log appending**: FileHandler reads entire file, modifies in memory, then writes back - classic read-modify-write race condition
- **SQLite connections**: No connection pooling or locking strategy for concurrent access
- **Pickle operations**: Direct file writes without atomic operations or locks

### 3. Shared Mutable State
The storage path determination relies on global state:

- `db_storage_path()` uses `Path.cwd().name` via `CREWAI_STORAGE_DIR` environment variable
- Multiple concurrent executions in the same directory share the same storage location
- No per-execution, per-thread, or per-process isolation

## Observable Symptoms

1. **Data Corruption**: Concurrent writes to JSON logs result in malformed JSON or lost entries
2. **Race Conditions**: Thread A reads file → Thread B writes file → Thread A writes file → Thread B's changes lost
3. **File Conflicts**: Multiple executions attempt to write to the same database file simultaneously
4. **Partial Writes**: File operations interrupted by concurrent access leave incomplete data
5. **Execution Interference**: Parallel crew runs overwrite each other's outputs or read stale data

## Impact

- **Production**: Concurrent crew executions (e.g., via `kickoff_for_each`, parallel flows, or multiple API requests) can corrupt shared storage
- **Reliability**: Non-deterministic failures that are difficult to reproduce and debug
- **Scalability**: Cannot safely run multiple crews or agents in parallel without custom workarounds
- **Data Integrity**: Lost or corrupted outputs compromise system correctness

## Expected Behavior

File operations must be safe for concurrent execution:

1. **Isolation**: Each execution context (thread, process, crew instance) should have isolated file storage OR
2. **Synchronization**: Shared files must be protected with appropriate locking mechanisms OR
3. **Atomic Operations**: File writes must be atomic to prevent partial updates

The framework should handle concurrency transparently without requiring users to implement workarounds.
24 changes: 24 additions & 0 deletions prompt_statement.md
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# User Request: Fix File Handling Thread-Safety Issues

When I run multiple crews, agents, or flows in parallel, file operations interfere with each other causing failures and data corruption.

Specifically:

- Running parallel crews causes random failures because they all write to the same log files and databases
- Using `kickoff_for_each` with multiple inputs sometimes produces corrupted output files
- Concurrent crew executions overwrite each other's task outputs in the shared database
- JSON log files become malformed when multiple threads try to append simultaneously

I've had to add workarounds like:
- Generating unique filenames manually for each execution
- Running crews sequentially instead of in parallel
- Adding delays between operations
- Manually managing file paths for each execution

This shouldn't be necessary. The framework should handle concurrent file operations safely without requiring users to implement custom isolation strategies.

Please make the file handling system thread-safe so that:
1. Multiple crews can run in parallel without interfering with each other's files
2. Parallel executions can run without collisions
3. Concurrent writes don't corrupt data
4. No manual workarounds are needed for basic concurrent usage
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