Files
AutoGPT/autogpt_platform/backend/backend/blocks/code_executor.py
Zamil Majdy aef5f6d666 feat(copilot): E2B sandbox auto-pause between turns to eliminate idle billing (#12330)
## Summary

### Before
- E2B sandboxes ran continuously between CoPilot turns, billing for idle
time
- Sandbox timeout caused **termination** (kill), losing all session
state
- No explicit cleanup when sessions were deleted — sandboxes leaked
- Single timeout concept with no separation between pause and kill
semantics

### After
- **Per-turn pause**: `pause_sandbox()` is called in the `finally` block
after every CoPilot turn, stopping billing instantly between turns
(paused sandboxes cost \$0 compute)
- **Auto-pause safety net**: Sandboxes are created with
`lifecycle={"on_timeout": "pause"}` (`pause_timeout` = 4h default) so
they auto-pause rather than terminate if the explicit pause is missed
- **Auto-reconnect**: `AsyncSandbox.connect()` in e2b SDK v2
auto-resumes paused sandboxes transparently — no extra code needed
- **Session delete cleanup**: `kill_sandbox()` is now called in
`delete_chat_session()` to explicitly terminate sandboxes and free
resources
- **Two distinct timeouts**: `pause_timeout` (4h, e2b auto-pause) vs
`redis_ttl` (12h, session key lifetime)

### Key Changes

| File | Change |
|------|--------|
| `pyproject.toml` | Bump `e2b-code-interpreter` `1.x` → `2.x` |
| `e2b_sandbox.py` | Add `pause_sandbox()`, `kill_sandbox()`,
`_act_on_sandbox()` helper; `lifecycle={"on_timeout": "pause"}`;
separate `pause_timeout` / `redis_ttl` params |
| `sdk/service.py` | Call `pause_sandbox()` in `finally` block
**before** transcript upload; use walrus operator for type-safe
`e2b_api_key` narrowing |
| `model.py` | Call `kill_sandbox()` in `delete_chat_session()`; inline
import to avoid circular dependency |
| `config.py` | Add `e2b_active` property; rename `e2b_sandbox_timeout`
default to 4h |
| `e2b_sandbox_test.py` | Add `test_pause_then_reconnect_reuses_sandbox`
test; update all `sandbox_timeout` → `pause_timeout` |

### Verified E2E
- Used real `E2B_API_KEY` from k8s dev cluster to manually verify:
sandbox created → paused → `is_running() == False` → reconnected via
`connect()` → state preserved → killed

## Test plan
- [x] `poetry run pytest backend/copilot/tools/e2b_sandbox_test.py` —
all 19 tests pass
- [x] CI: test (3.11, 3.12, 3.13), types — all green
- [x] E2E verified with real E2B credentials
2026-03-09 14:55:10 +00:00

591 lines
22 KiB
Python

from enum import Enum
from typing import TYPE_CHECKING, Any, Literal, Optional
from e2b_code_interpreter import AsyncSandbox
from e2b_code_interpreter import Result as E2BExecutionResult
from e2b_code_interpreter.charts import Chart as E2BExecutionResultChart
from pydantic import BaseModel, Field, JsonValue, SecretStr
from backend.blocks._base import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.data.model import (
APIKeyCredentials,
CredentialsField,
CredentialsMetaInput,
SchemaField,
)
from backend.integrations.providers import ProviderName
from backend.util.sandbox_files import (
SandboxFileOutput,
extract_and_store_sandbox_files,
)
if TYPE_CHECKING:
from backend.executor.utils import ExecutionContext
TEST_CREDENTIALS = APIKeyCredentials(
id="01234567-89ab-cdef-0123-456789abcdef",
provider="e2b",
api_key=SecretStr("mock-e2b-api-key"),
title="Mock E2B API key",
expires_at=None,
)
TEST_CREDENTIALS_INPUT = {
"provider": TEST_CREDENTIALS.provider,
"id": TEST_CREDENTIALS.id,
"type": TEST_CREDENTIALS.type,
"title": TEST_CREDENTIALS.type,
}
class ProgrammingLanguage(Enum):
PYTHON = "python"
JAVASCRIPT = "js"
BASH = "bash"
R = "r"
JAVA = "java"
class MainCodeExecutionResult(BaseModel):
"""
*Pydantic model mirroring `e2b_code_interpreter.Result`*
Represents the data to be displayed as a result of executing a cell in a Jupyter notebook.
The result is similar to the structure returned by ipython kernel: https://ipython.readthedocs.io/en/stable/development/execution.html#execution-semantics
The result can contain multiple types of data, such as text, images, plots, etc. Each type of data is represented
as a string, and the result can contain multiple types of data. The display calls don't have to have text representation,
for the actual result the representation is always present for the result, the other representations are always optional.
""" # noqa
class Chart(BaseModel, E2BExecutionResultChart):
pass
text: Optional[str] = None
html: Optional[str] = None
markdown: Optional[str] = None
svg: Optional[str] = None
png: Optional[str] = None
jpeg: Optional[str] = None
pdf: Optional[str] = None
latex: Optional[str] = None
json_data: Optional[JsonValue] = Field(None, alias="json")
javascript: Optional[str] = None
data: Optional[dict] = None
chart: Optional[Chart] = None
extra: Optional[dict] = None
"""Extra data that can be included. Not part of the standard types."""
class CodeExecutionResult(MainCodeExecutionResult):
__doc__ = MainCodeExecutionResult.__doc__
is_main_result: bool = False
"""Whether this data is the main result of the cell. Data can be produced by display calls of which can be multiple in a cell.""" # noqa
class BaseE2BExecutorMixin:
"""Shared implementation methods for E2B executor blocks."""
# Default working directory in E2B sandboxes
WORKING_DIR = "/home/user"
async def execute_code(
self,
api_key: str,
code: str,
language: ProgrammingLanguage,
template_id: str = "",
setup_commands: Optional[list[str]] = None,
timeout: Optional[int] = None,
sandbox_id: Optional[str] = None,
dispose_sandbox: bool = False,
execution_context: Optional["ExecutionContext"] = None,
extract_files: bool = False,
):
"""
Unified code execution method that handles all three use cases:
1. Create new sandbox and execute (ExecuteCodeBlock)
2. Create new sandbox, execute, and return sandbox_id (InstantiateCodeSandboxBlock)
3. Connect to existing sandbox and execute (ExecuteCodeStepBlock)
Args:
extract_files: If True and execution_context provided, extract files
created/modified during execution and store to workspace.
""" # noqa
sandbox = None
files: list[SandboxFileOutput] = []
try:
if sandbox_id:
# Connect to existing sandbox (ExecuteCodeStepBlock case)
sandbox = await AsyncSandbox.connect(
sandbox_id=sandbox_id, api_key=api_key
)
else:
# Create new sandbox (ExecuteCodeBlock/InstantiateCodeSandboxBlock case)
sandbox = await AsyncSandbox.create(
api_key=api_key, template=template_id, timeout=timeout
)
if setup_commands:
for cmd in setup_commands:
await sandbox.commands.run(cmd)
# Capture timestamp before execution to scope file extraction
start_timestamp = None
if extract_files:
ts_result = await sandbox.commands.run("date -u +%Y-%m-%dT%H:%M:%S")
start_timestamp = ts_result.stdout.strip() if ts_result.stdout else None
# Execute the code
execution = await sandbox.run_code( # type: ignore[attr-defined]
code,
language=language.value,
on_error=lambda e: sandbox.kill(), # Kill the sandbox on error
)
if execution.error:
raise Exception(execution.error)
results = execution.results
text_output = execution.text
stdout_logs = "".join(execution.logs.stdout)
stderr_logs = "".join(execution.logs.stderr)
# Extract files created/modified during this execution
if extract_files and execution_context:
files = await extract_and_store_sandbox_files(
sandbox=sandbox,
working_directory=self.WORKING_DIR,
execution_context=execution_context,
since_timestamp=start_timestamp,
text_only=False, # Include binary files too
)
return (
results,
text_output,
stdout_logs,
stderr_logs,
sandbox.sandbox_id,
files,
)
finally:
# Dispose of sandbox if requested to reduce usage costs
if dispose_sandbox and sandbox:
await sandbox.kill()
def process_execution_results(
self, results: list[E2BExecutionResult]
) -> tuple[dict[str, Any] | None, list[dict[str, Any]]]:
"""Process and filter execution results."""
# Filter out empty formats and convert to dicts
processed_results = [
{
f: value
for f in [*r.formats(), "extra", "is_main_result"]
if (value := getattr(r, f, None)) is not None
}
for r in results
]
if main_result := next(
(r for r in processed_results if r.get("is_main_result")), None
):
# Make main_result a copy we can modify & remove is_main_result
(main_result := {**main_result}).pop("is_main_result")
return main_result, processed_results
class ExecuteCodeBlock(Block, BaseE2BExecutorMixin):
# TODO : Add support to upload and download files
# NOTE: Currently, you can only customize the CPU and Memory
# by creating a pre customized sandbox template
class Input(BlockSchemaInput):
credentials: CredentialsMetaInput[
Literal[ProviderName.E2B], Literal["api_key"]
] = CredentialsField(
description=(
"Enter your API key for the E2B platform. "
"You can get it in here - https://e2b.dev/docs"
),
)
# Todo : Option to run commond in background
setup_commands: list[str] = SchemaField(
description=(
"Shell commands to set up the sandbox before running the code. "
"You can use `curl` or `git` to install your desired Debian based "
"package manager. `pip` and `npm` are pre-installed.\n\n"
"These commands are executed with `sh`, in the foreground."
),
placeholder="pip install cowsay",
default_factory=list,
advanced=False,
)
code: str = SchemaField(
description="Code to execute in the sandbox",
placeholder="print('Hello, World!')",
default="",
advanced=False,
)
language: ProgrammingLanguage = SchemaField(
description="Programming language to execute",
default=ProgrammingLanguage.PYTHON,
advanced=False,
)
timeout: int = SchemaField(
description="Execution timeout in seconds", default=300
)
dispose_sandbox: bool = SchemaField(
description=(
"Whether to dispose of the sandbox immediately after execution. "
"If disabled, the sandbox will run until its timeout expires."
),
default=True,
)
template_id: str = SchemaField(
description=(
"You can use an E2B sandbox template by entering its ID here. "
"Check out the E2B docs for more details: "
"[E2B - Sandbox template](https://e2b.dev/docs/sandbox-template)"
),
default="",
advanced=True,
)
class Output(BlockSchemaOutput):
main_result: MainCodeExecutionResult = SchemaField(
title="Main Result", description="The main result from the code execution"
)
results: list[CodeExecutionResult] = SchemaField(
description="List of results from the code execution"
)
response: str = SchemaField(
title="Main Text Output",
description="Text output (if any) of the main execution result",
)
stdout_logs: str = SchemaField(
description="Standard output logs from execution"
)
stderr_logs: str = SchemaField(description="Standard error logs from execution")
files: list[SandboxFileOutput] = SchemaField(
description=(
"Files created or modified during execution. "
"Each file has path, name, content, and workspace_ref (if stored)."
),
)
def __init__(self):
super().__init__(
id="0b02b072-abe7-11ef-8372-fb5d162dd712",
description="Executes code in a sandbox environment with internet access.",
categories={BlockCategory.DEVELOPER_TOOLS},
input_schema=ExecuteCodeBlock.Input,
output_schema=ExecuteCodeBlock.Output,
test_credentials=TEST_CREDENTIALS,
test_input={
"credentials": TEST_CREDENTIALS_INPUT,
"code": "print('Hello World')",
"language": ProgrammingLanguage.PYTHON.value,
"setup_commands": [],
"timeout": 300,
"template_id": "",
},
test_output=[
("results", []),
("response", "Hello World"),
("stdout_logs", "Hello World\n"),
("files", []),
],
test_mock={
"execute_code": lambda api_key, code, language, template_id, setup_commands, timeout, dispose_sandbox, execution_context, extract_files: ( # noqa
[], # results
"Hello World", # text_output
"Hello World\n", # stdout_logs
"", # stderr_logs
"sandbox_id", # sandbox_id
[], # files
),
},
)
async def run(
self,
input_data: Input,
*,
credentials: APIKeyCredentials,
execution_context: "ExecutionContext",
**kwargs,
) -> BlockOutput:
try:
results, text_output, stdout, stderr, _, files = await self.execute_code(
api_key=credentials.api_key.get_secret_value(),
code=input_data.code,
language=input_data.language,
template_id=input_data.template_id,
setup_commands=input_data.setup_commands,
timeout=input_data.timeout,
dispose_sandbox=input_data.dispose_sandbox,
execution_context=execution_context,
extract_files=True,
)
# Determine result object shape & filter out empty formats
main_result, results = self.process_execution_results(results)
if main_result:
yield "main_result", main_result
yield "results", results
if text_output:
yield "response", text_output
if stdout:
yield "stdout_logs", stdout
if stderr:
yield "stderr_logs", stderr
# Always yield files (empty list if none)
yield "files", [f.model_dump() for f in files]
except Exception as e:
yield "error", str(e)
class InstantiateCodeSandboxBlock(Block, BaseE2BExecutorMixin):
class Input(BlockSchemaInput):
credentials: CredentialsMetaInput[
Literal[ProviderName.E2B], Literal["api_key"]
] = CredentialsField(
description=(
"Enter your API key for the E2B platform. "
"You can get it in here - https://e2b.dev/docs"
)
)
# Todo : Option to run commond in background
setup_commands: list[str] = SchemaField(
description=(
"Shell commands to set up the sandbox before running the code. "
"You can use `curl` or `git` to install your desired Debian based "
"package manager. `pip` and `npm` are pre-installed.\n\n"
"These commands are executed with `sh`, in the foreground."
),
placeholder="pip install cowsay",
default_factory=list,
advanced=False,
)
setup_code: str = SchemaField(
description="Code to execute in the sandbox",
placeholder="print('Hello, World!')",
default="",
advanced=False,
)
language: ProgrammingLanguage = SchemaField(
description="Programming language to execute",
default=ProgrammingLanguage.PYTHON,
advanced=False,
)
timeout: int = SchemaField(
description="Execution timeout in seconds", default=300
)
template_id: str = SchemaField(
description=(
"You can use an E2B sandbox template by entering its ID here. "
"Check out the E2B docs for more details: "
"[E2B - Sandbox template](https://e2b.dev/docs/sandbox-template)"
),
default="",
advanced=True,
)
class Output(BlockSchemaOutput):
sandbox_id: str = SchemaField(description="ID of the sandbox instance")
response: str = SchemaField(
title="Text Result",
description="Text result (if any) of the setup code execution",
)
stdout_logs: str = SchemaField(
description="Standard output logs from execution"
)
stderr_logs: str = SchemaField(description="Standard error logs from execution")
def __init__(self):
super().__init__(
id="ff0861c9-1726-4aec-9e5b-bf53f3622112",
description=(
"Instantiate a sandbox environment with internet access "
"in which you can execute code with the Execute Code Step block."
),
categories={BlockCategory.DEVELOPER_TOOLS},
input_schema=InstantiateCodeSandboxBlock.Input,
output_schema=InstantiateCodeSandboxBlock.Output,
test_credentials=TEST_CREDENTIALS,
test_input={
"credentials": TEST_CREDENTIALS_INPUT,
"setup_code": "print('Hello World')",
"language": ProgrammingLanguage.PYTHON.value,
"setup_commands": [],
"timeout": 300,
"template_id": "",
},
test_output=[
("sandbox_id", str),
("response", "Hello World"),
("stdout_logs", "Hello World\n"),
],
test_mock={
"execute_code": lambda api_key, code, language, template_id, setup_commands, timeout: ( # noqa
[], # results
"Hello World", # text_output
"Hello World\n", # stdout_logs
"", # stderr_logs
"sandbox_id", # sandbox_id
[], # files
),
},
)
async def run(
self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
) -> BlockOutput:
try:
_, text_output, stdout, stderr, sandbox_id, _ = await self.execute_code(
api_key=credentials.api_key.get_secret_value(),
code=input_data.setup_code,
language=input_data.language,
template_id=input_data.template_id,
setup_commands=input_data.setup_commands,
timeout=input_data.timeout,
)
if sandbox_id:
yield "sandbox_id", sandbox_id
else:
yield "error", "Sandbox ID not found"
if text_output:
yield "response", text_output
if stdout:
yield "stdout_logs", stdout
if stderr:
yield "stderr_logs", stderr
except Exception as e:
yield "error", str(e)
class ExecuteCodeStepBlock(Block, BaseE2BExecutorMixin):
class Input(BlockSchemaInput):
credentials: CredentialsMetaInput[
Literal[ProviderName.E2B], Literal["api_key"]
] = CredentialsField(
description=(
"Enter your API key for the E2B platform. "
"You can get it in here - https://e2b.dev/docs"
),
)
sandbox_id: str = SchemaField(
description="ID of the sandbox instance to execute the code in",
advanced=False,
)
step_code: str = SchemaField(
description="Code to execute in the sandbox",
placeholder="print('Hello, World!')",
default="",
advanced=False,
)
language: ProgrammingLanguage = SchemaField(
description="Programming language to execute",
default=ProgrammingLanguage.PYTHON,
advanced=False,
)
dispose_sandbox: bool = SchemaField(
description="Whether to dispose of the sandbox after executing this code.",
default=False,
)
class Output(BlockSchemaOutput):
main_result: MainCodeExecutionResult = SchemaField(
title="Main Result", description="The main result from the code execution"
)
results: list[CodeExecutionResult] = SchemaField(
description="List of results from the code execution"
)
response: str = SchemaField(
title="Main Text Output",
description="Text output (if any) of the main execution result",
)
stdout_logs: str = SchemaField(
description="Standard output logs from execution"
)
stderr_logs: str = SchemaField(description="Standard error logs from execution")
def __init__(self):
super().__init__(
id="82b59b8e-ea10-4d57-9161-8b169b0adba6",
description="Execute code in a previously instantiated sandbox.",
categories={BlockCategory.DEVELOPER_TOOLS},
input_schema=ExecuteCodeStepBlock.Input,
output_schema=ExecuteCodeStepBlock.Output,
test_credentials=TEST_CREDENTIALS,
test_input={
"credentials": TEST_CREDENTIALS_INPUT,
"sandbox_id": "sandbox_id",
"step_code": "print('Hello World')",
"language": ProgrammingLanguage.PYTHON.value,
},
test_output=[
("results", []),
("response", "Hello World"),
("stdout_logs", "Hello World\n"),
],
test_mock={
"execute_code": lambda api_key, code, language, sandbox_id, dispose_sandbox: ( # noqa
[], # results
"Hello World", # text_output
"Hello World\n", # stdout_logs
"", # stderr_logs
sandbox_id, # sandbox_id
[], # files
),
},
)
async def run(
self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
) -> BlockOutput:
try:
results, text_output, stdout, stderr, _, _ = await self.execute_code(
api_key=credentials.api_key.get_secret_value(),
code=input_data.step_code,
language=input_data.language,
sandbox_id=input_data.sandbox_id,
dispose_sandbox=input_data.dispose_sandbox,
)
# Determine result object shape & filter out empty formats
main_result, results = self.process_execution_results(results)
if main_result:
yield "main_result", main_result
yield "results", results
if text_output:
yield "response", text_output
if stdout:
yield "stdout_logs", stdout
if stderr:
yield "stderr_logs", stderr
except Exception as e:
yield "error", str(e)