Gflags worker parameters (#22931)

* feat: add LITELLM_WORKER_STARTUP_HOOKS for per-worker initialization (gflags support)

Add support for running user-defined startup hooks in each worker process
during proxy_startup_event. This enables re-initialization of in-process
state (like gflags.FLAGS) that doesn't survive uvicorn worker spawning.

Usage:
  export LITELLM_WORKER_STARTUP_HOOKS=mymodule:init_fn,other:setup_fn

Hooks run early in proxy_startup_event (before config/DB loading).
Supports both sync and async callables. Errors propagate to prevent
broken workers from serving traffic. No-op when env var is unset.

Includes 5 tests covering sync/async hooks, multiple hooks, error
propagation, and no-hooks-set scenarios.

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* docs: add Worker Startup Hooks page with gflags usage example

- New docs page: docs/proxy/worker_startup_hooks.md
  - Explains the problem (per-process state lost in multi-worker deployments)
  - Full gflags example with wrapper module and startup script
  - Covers multiple hooks, async hooks, error behavior
  - Architecture diagram showing master→worker flow
- Added LITELLM_WORKER_STARTUP_HOOKS to config_settings.md env var table
- Added to sidebar under Setup & Deployment

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* Update litellm/proxy/proxy_server.py

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>

* Apply suggestion from @greptile-apps[bot]

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>

---------

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
This commit is contained in:
Ishaan Jaff
2026-03-06 18:09:57 -08:00
committed by GitHub
co-authored by Cursor Agent Ishaan Jaff greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
parent bb52b0b6b0
commit b7b20664c1
5 changed files with 328 additions and 0 deletions
@@ -815,6 +815,7 @@ router_settings:
| LITELLM_TOKEN | Access token for LiteLLM integration
| LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES | When set to "true", routes OpenAI /v1/messages requests through chat/completions instead of the Responses API for Anthropic models. Can also be set via `litellm_settings.use_chat_completions_url_for_anthropic_messages`
| LITELLM_USER_AGENT | Custom user agent string for LiteLLM API requests. Used for partner telemetry attribution
| LITELLM_WORKER_STARTUP_HOOKS | Comma-separated list of `module.path:function_name` callables to run in each worker process during startup. Runs early in the worker lifecycle (before config/DB loading). Useful for re-initializing per-process state like [gflags](https://github.com/google/python-gflags). See [Worker Startup Hooks](/proxy/worker_startup_hooks) for details
| LITELLM_PRINT_STANDARD_LOGGING_PAYLOAD | If true, prints the standard logging payload to the console - useful for debugging
| LITELM_ENVIRONMENT | Environment for LiteLLM Instance. This is currently only logged to DeepEval to determine the environment for DeepEval integration.
| LITELLM_ASYNCIO_QUEUE_MAXSIZE | Maximum size for asyncio queues (e.g. log queues, spend update queues, and cookbook examples such as realtime audio in `nova_sonic_realtime.py`). Bounds in-memory growth to prevent OOM. Default is 1000.
@@ -0,0 +1,155 @@
# Worker Startup Hooks
Use `LITELLM_WORKER_STARTUP_HOOKS` to run custom initialization functions in **each worker process** during proxy startup. This is essential when using multi-worker deployments (`--num_workers > 1`) with libraries that require per-process initialization, such as [gflags](https://github.com/google/python-gflags).
## The Problem
When running the LiteLLM proxy with multiple workers:
```bash
litellm --config config.yaml --num_workers 4
```
Each worker is a **separate process** spawned by uvicorn or gunicorn. Any in-process state initialized in the master process (before `run_server()`) is **not available** in worker processes. This includes:
- [python-gflags](https://github.com/google/python-gflags) (`gflags.FLAGS`)
- [absl-py flags](https://abseil.io/docs/python/guides/flags) (`absl.flags.FLAGS`)
- Custom singleton registries or connection pools
- Any module-level state that requires explicit initialization
## Usage
Set the `LITELLM_WORKER_STARTUP_HOOKS` environment variable to a comma-separated list of `module.path:function_name` callables:
```bash
export LITELLM_WORKER_STARTUP_HOOKS="my_module:my_init_function"
```
Each hook is called **early** in the worker startup lifecycle — before config loading, database setup, or any request handling. Both sync and async functions are supported.
## Example: gflags Initialization
### 1. Define your wrapper module
```python title="my_litellm_wrapper.py"
import gflags
import json
import os
import sys
from typing import Optional, List, Any
def init_gflags(
usage: Optional[Any] = None,
raw_args: Optional[List[str]] = None,
known_only: bool = False,
) -> List[str]:
"""Initialize gflags from command-line arguments."""
try:
gflags.FLAGS.set_gnu_getopt(True)
if raw_args is None:
raw_args = sys.argv
argv = gflags.FLAGS(raw_args, known_only=known_only)
except gflags.Error as e:
if usage is None:
print("%s\nUsage: %s ARGS\n%s" % (e, sys.argv[0], gflags.FLAGS))
else:
print(usage % dict(cmd=sys.argv[0], flags=gflags.FLAGS))
sys.exit(1)
return argv
def init_gflags_for_worker():
"""Re-initialize gflags in each worker process.
Reads the original sys.argv from the GFLAGS_ARGV env var
(set by the master process before starting the proxy).
"""
raw_args = json.loads(os.environ.get("GFLAGS_ARGV", "[]")) or sys.argv
init_gflags(raw_args=raw_args, known_only=True)
```
### 2. Start the proxy
```python title="start_proxy.py"
import json
import os
import sys
from my_litellm_wrapper import init_gflags
# Store sys.argv so workers can re-parse the same flags
os.environ["GFLAGS_ARGV"] = json.dumps(sys.argv)
# Tell LiteLLM to call our hook in each worker
os.environ["LITELLM_WORKER_STARTUP_HOOKS"] = "my_litellm_wrapper:init_gflags_for_worker"
# Initialize gflags in the master process
init_gflags()
# Start the proxy (programmatic invocation)
from litellm.proxy.proxy_cli import run_server
run_server(
["--config", "config.yaml", "--num_workers", "4"],
standalone_mode=False,
)
```
Or via shell:
```bash
export GFLAGS_ARGV='["my_app", "--my_flag=value", "--batch_size=32"]'
export LITELLM_WORKER_STARTUP_HOOKS="my_litellm_wrapper:init_gflags_for_worker"
litellm --config config.yaml --num_workers 4
```
## How It Works
```
Master Process Worker Process (×N)
───────────────── ──────────────────────
1. init_gflags() 3. proxy_startup_event():
2. run_server() → Read LITELLM_WORKER_STARTUP_HOOKS
→ sets env vars → Import & call each hook
→ uvicorn.run(workers=N) (gflags.FLAGS re-initialized ✓)
→ spawns workers ──────────────────► → Continue with config/DB setup
→ Ready to serve requests
```
- Hooks run at the **very beginning** of `proxy_startup_event` (the FastAPI lifespan), before config loading, database connections, or any other initialization.
- Environment variables set in the master process are **inherited** by worker processes (standard Unix fork/spawn behavior).
- If a hook **raises an exception**, the worker fails to start — this is intentional, since missing initialization (e.g., uninitialized gflags) would cause downstream errors.
## Multiple Hooks
Separate multiple hooks with commas:
```bash
export LITELLM_WORKER_STARTUP_HOOKS="my_module:init_gflags,my_module:init_metrics,my_module:init_connections"
```
Hooks are executed **in order**, left to right.
## Async Hooks
Async functions are also supported — they are automatically awaited:
```python
async def init_async_connections():
"""Example async hook for initializing async resources."""
await setup_async_connection_pool()
```
```bash
export LITELLM_WORKER_STARTUP_HOOKS="my_module:init_async_connections"
```
## Reference
| Environment Variable | Description |
|---|---|
| `LITELLM_WORKER_STARTUP_HOOKS` | Comma-separated `module.path:function_name` callables to run in each worker on startup |
The hook format follows the standard Python entry point syntax: `module.path:function_name`, where `module.path` is a dotted Python import path and `function_name` is the name of the callable within that module.
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@@ -311,6 +311,7 @@ const sidebars = {
"proxy/master_key_rotations",
"proxy/model_management",
"proxy/prod",
"proxy/worker_startup_hooks",
"proxy/release_cycle",
],
},
+30
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@@ -1,6 +1,7 @@
import asyncio
import copy
import enum
import importlib
import inspect
import io
import os
@@ -768,6 +769,35 @@ async def proxy_startup_event(app: FastAPI): # noqa: PLR0915
import json
init_verbose_loggers()
## RUN WORKER STARTUP HOOKS (e.g., gflags initialization) ##
_startup_hooks_env = os.environ.get("LITELLM_WORKER_STARTUP_HOOKS", "")
if _startup_hooks_env:
for _hook_spec in _startup_hooks_env.split(","):
_hook_spec = _hook_spec.strip()
if not _hook_spec:
continue
try:
if ":" not in _hook_spec:
raise ValueError(
f"Invalid hook spec '{_hook_spec}': expected format is 'module.path:function_name'"
)
_module_path, _func_name = _hook_spec.rsplit(":", 1)
_module = importlib.import_module(_module_path)
_hook_fn = getattr(_module, _func_name)
if inspect.iscoroutinefunction(_hook_fn):
await _hook_fn()
else:
_hook_fn()
verbose_proxy_logger.info(
"Worker startup hook '%s' executed successfully", _hook_spec
)
except Exception as e:
verbose_proxy_logger.error(
"Worker startup hook '%s' failed: %s", _hook_spec, e
)
raise
## CHECK PREMIUM USER
verbose_proxy_logger.debug(
"litellm.proxy.proxy_server.py::startup() - CHECKING PREMIUM USER - {}".format(
+141
View File
@@ -663,3 +663,144 @@ class TestHealthAppFactory:
standalone_mode=False,
)
mock_setup_database.assert_called_with(use_migrate=False)
# --- Module-level helpers for worker startup hook tests ---
_dummy_hook_called = False
def _dummy_hook():
"""A simple sync hook used by test_should_run_worker_startup_hooks."""
global _dummy_hook_called
_dummy_hook_called = True
_dummy_async_hook_called = False
async def _dummy_async_hook():
"""A simple async hook used by test_should_run_async_worker_startup_hook."""
global _dummy_async_hook_called
_dummy_async_hook_called = True
def _failing_hook():
"""A hook that always raises, used by test_should_raise_on_failing_hook."""
raise RuntimeError("Hook failed on purpose")
class TestWorkerStartupHooks:
"""Tests for the LITELLM_WORKER_STARTUP_HOOKS mechanism in proxy_startup_event."""
@pytest.mark.asyncio
async def test_should_run_worker_startup_hooks(self):
"""Sync worker startup hook is called during proxy_startup_event."""
global _dummy_hook_called
_dummy_hook_called = False
from litellm.proxy.proxy_server import proxy_startup_event
env_overrides = {
"LITELLM_WORKER_STARTUP_HOOKS": "tests.test_litellm.proxy.test_proxy_cli:_dummy_hook",
}
# Remove DATABASE_URL to avoid real DB setup
clean_env = {
k: v for k, v in os.environ.items() if k not in ("DATABASE_URL", "DIRECT_URL")
}
clean_env.update(env_overrides)
with patch.dict(os.environ, clean_env, clear=True):
try:
async with proxy_startup_event(app=None) as _:
pass
except Exception:
pass # We expect errors after the hook (no DB, etc.)
assert _dummy_hook_called is True, "Sync startup hook was not called"
@pytest.mark.asyncio
async def test_should_run_async_worker_startup_hook(self):
"""Async worker startup hook is awaited during proxy_startup_event."""
global _dummy_async_hook_called
_dummy_async_hook_called = False
from litellm.proxy.proxy_server import proxy_startup_event
env_overrides = {
"LITELLM_WORKER_STARTUP_HOOKS": "tests.test_litellm.proxy.test_proxy_cli:_dummy_async_hook",
}
clean_env = {
k: v for k, v in os.environ.items() if k not in ("DATABASE_URL", "DIRECT_URL")
}
clean_env.update(env_overrides)
with patch.dict(os.environ, clean_env, clear=True):
try:
async with proxy_startup_event(app=None) as _:
pass
except Exception:
pass
assert _dummy_async_hook_called is True, "Async startup hook was not called"
@pytest.mark.asyncio
async def test_should_raise_on_failing_worker_startup_hook(self):
"""A failing worker startup hook propagates the error."""
from litellm.proxy.proxy_server import proxy_startup_event
env_overrides = {
"LITELLM_WORKER_STARTUP_HOOKS": "tests.test_litellm.proxy.test_proxy_cli:_failing_hook",
}
clean_env = {
k: v for k, v in os.environ.items() if k not in ("DATABASE_URL", "DIRECT_URL")
}
clean_env.update(env_overrides)
with patch.dict(os.environ, clean_env, clear=True):
with pytest.raises(RuntimeError, match="Hook failed on purpose"):
async with proxy_startup_event(app=None) as _:
pass
def test_should_skip_when_no_hooks_set(self):
"""When LITELLM_WORKER_STARTUP_HOOKS is not set, no hooks are executed."""
global _dummy_hook_called
_dummy_hook_called = False
with patch.dict(os.environ, {}, clear=False):
os.environ.pop("LITELLM_WORKER_STARTUP_HOOKS", None)
# The hook block should be skipped entirely when env var is absent
assert "LITELLM_WORKER_STARTUP_HOOKS" not in os.environ
# Verify that an empty env var value also results in no hook execution
assert os.environ.get("LITELLM_WORKER_STARTUP_HOOKS", "") == ""
@pytest.mark.asyncio
async def test_should_run_multiple_hooks(self):
"""Multiple comma-separated hooks are all called."""
global _dummy_hook_called, _dummy_async_hook_called
_dummy_hook_called = False
_dummy_async_hook_called = False
from litellm.proxy.proxy_server import proxy_startup_event
hooks = (
"tests.test_litellm.proxy.test_proxy_cli:_dummy_hook,"
"tests.test_litellm.proxy.test_proxy_cli:_dummy_async_hook"
)
env_overrides = {
"LITELLM_WORKER_STARTUP_HOOKS": hooks,
}
clean_env = {
k: v for k, v in os.environ.items() if k not in ("DATABASE_URL", "DIRECT_URL")
}
clean_env.update(env_overrides)
with patch.dict(os.environ, clean_env, clear=True):
try:
async with proxy_startup_event(app=None) as _:
pass
except Exception:
pass
assert _dummy_hook_called is True, "First hook was not called"
assert _dummy_async_hook_called is True, "Second hook was not called"