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@ -0,0 +1,61 @@
from __future__ import annotations
from collections.abc import Callable, Mapping
from types import MappingProxyType
from typing import TYPE_CHECKING, Final
from litellm.types.guardrails import SupportedGuardrailIntegrations
from litellm.types.proxy.guardrails.guardrail_hooks.collieai import DEFAULT_API_BASE
from .collieai import CollieAiGuardrail
if TYPE_CHECKING:
from litellm.integrations.custom_guardrail import CustomGuardrail
from litellm.types.guardrails import Guardrail, LitellmParams
PACKAGE_SETTINGS: Final = frozenset(
{
"enforcement_mode",
"deadline_ms",
"network_margin_ms",
"max_body_bytes",
"forward_conversation_id",
"summary_interval_s",
"synthetic_interval_s",
}
)
_NO_EXTRAS: Final[Mapping[str, object]] = MappingProxyType({})
def package_settings(extras: Mapping[str, object]) -> Mapping[str, object]:
return MappingProxyType({key: value for key, value in extras.items() if key in PACKAGE_SETTINGS})
def initialize_guardrail(
litellm_params: LitellmParams,
guardrail: Guardrail,
guardrail_cls: Callable[..., CustomGuardrail] = CollieAiGuardrail,
) -> CustomGuardrail:
import litellm
from litellm.secret_managers.main import get_secret_str
extras: Final = litellm_params.model_extra or _NO_EXTRAS
_callback: Final = guardrail_cls(
api_base=litellm_params.api_base or DEFAULT_API_BASE,
api_key=litellm_params.api_key or get_secret_str("COLLIEAI_API_KEY"),
guardrail_name=guardrail["guardrail_name"],
event_hook=litellm_params.mode,
default_on=litellm_params.default_on,
**package_settings(extras),
)
litellm.logging_callback_manager.add_litellm_callback(_callback)
return _callback
guardrail_initializer_registry: Final = {
SupportedGuardrailIntegrations.COLLIEAI.value: initialize_guardrail,
}
guardrail_class_registry: Final = {
SupportedGuardrailIntegrations.COLLIEAI.value: CollieAiGuardrail,
}

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@ -0,0 +1,72 @@
"""CollieAi as a LiteLLM guardrail, backed by the ``collieai-litellm-guardrail`` PyPI package.
Install: ``pip install "collieai-litellm-guardrail>=1.0.0"``
Source: https://github.com/CollieAi/collieai-litellm-guardrail
"""
from __future__ import annotations
import importlib
from collections.abc import Callable
from typing import Final
from litellm.integrations.custom_guardrail import CustomGuardrail
from litellm.types.guardrails import GuardrailEventHooks
from litellm.types.proxy.guardrails.guardrail_hooks.collieai import CollieAiGuardrailConfigModel
PACKAGE_MODULE: Final = "collieai_guardrail.guardrail"
MISSING_PACKAGE_MESSAGE: Final = (
"collieai-litellm-guardrail>=1.0.0 (Python 3.11 or newer) is required for the CollieAi guardrail. "
'Install it with: pip install "collieai-litellm-guardrail>=1.0.0"'
)
def has_readiness_guard(package: object) -> bool:
return getattr(package, "require_guardrail", None) is not None
def package_guardrail(package: object) -> type[CustomGuardrail] | None:
guardrail: Final[object] = getattr(package, "CollieAIGuardrail", None)
if not has_readiness_guard(package) or not isinstance(guardrail, type):
return None
return guardrail if issubclass(guardrail, CustomGuardrail) else None
def missing_package(import_error: ImportError | None) -> type[CustomGuardrail]:
class MissingPackage(CustomGuardrail):
def __init__(self, **kwargs: object) -> None: # kwargs-ok: mirrors the package constructor, only raises
raise ImportError(MISSING_PACKAGE_MESSAGE) from import_error
return MissingPackage
def load_base(import_module: Callable[[str], object] = importlib.import_module) -> type[CustomGuardrail]:
try:
package: Final = import_module(PACKAGE_MODULE)
except ImportError as import_error:
return missing_package(import_error)
return package_guardrail(package) or missing_package(None)
_Base: Final = load_base()
class CollieAiGuardrail(_Base):
@staticmethod
def get_config_model() -> type[CollieAiGuardrailConfigModel]:
return CollieAiGuardrailConfigModel
@classmethod
def get_supported_event_hooks(cls) -> list[GuardrailEventHooks]: # mutable-ok: CustomGuardrail's signature
return [GuardrailEventHooks.pre_call, GuardrailEventHooks.post_call]
__all__ = (
"MISSING_PACKAGE_MESSAGE",
"PACKAGE_MODULE",
"CollieAiGuardrail",
"has_readiness_guard",
"load_base",
"missing_package",
"package_guardrail",
)

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@ -163,6 +163,7 @@ class SupportedGuardrailIntegrations(Enum):
AIRIA = "airia"
WINGBACK = "wingback"
DECISION_MODEL = "decision_model"
COLLIEAI = "collieai"
class Role(Enum):

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@ -0,0 +1,42 @@
from __future__ import annotations
from typing import Final
from pydantic import ConfigDict, Field
from litellm.types.llms.base import LiteLLMBaseModel
from .base import GuardrailConfigModel
DEFAULT_API_BASE: Final = "https://app.collieai.io/v1/integrations/litellm"
class CollieAiGuardrailConfigModelOptionalParams(LiteLLMBaseModel):
model_config = ConfigDict(frozen=True)
deadline_ms: int | None = Field(
default=2500,
gt=0,
description="Each phase's whole deadline in milliseconds: connection, send, reply and parse.",
)
forward_conversation_id: bool | None = Field(
default=False,
description="Forward the caller's x-collieai-conversation-id header, and only that header.",
)
class CollieAiGuardrailConfigModel(GuardrailConfigModel[CollieAiGuardrailConfigModelOptionalParams]):
model_config = ConfigDict(frozen=True)
api_key: str = Field(
min_length=1,
description="CollieAi project API key, starting with clai_. Env: COLLIEAI_API_KEY.",
)
api_base: str | None = Field(
default=DEFAULT_API_BASE,
description="CollieAi's LiteLLM integration base URL.",
)
@staticmethod
def ui_friendly_name() -> str:
return "CollieAi"

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@ -0,0 +1,280 @@
from __future__ import annotations
import importlib.util
from types import ModuleType, SimpleNamespace
from typing import Final
import httpx
import pytest
import respx
from fastapi import HTTPException
import litellm
from litellm.caching.dual_cache import DualCache
from litellm.exceptions import GuardrailRaisedException
from litellm.integrations.custom_guardrail import CustomGuardrail
from litellm.proxy._types import UserAPIKeyAuth
from litellm.proxy.guardrails.guardrail_endpoints import get_guardrail_ui_settings, get_provider_specific_params
from litellm.proxy.guardrails.guardrail_hooks.collieai import CollieAiGuardrail, initialize_guardrail
from litellm.proxy.guardrails.guardrail_hooks.collieai.collieai import (
MISSING_PACKAGE_MESSAGE,
PACKAGE_MODULE,
has_readiness_guard,
load_base,
package_guardrail,
)
from litellm.proxy.guardrails.guardrail_registry import InMemoryGuardrailHandler
from litellm.proxy.utils import ProxyLogging
from litellm.types.guardrails import Guardrail, LitellmParams
from litellm.types.proxy.guardrails.guardrail_hooks.collieai import (
DEFAULT_API_BASE,
CollieAiGuardrailConfigModel,
CollieAiGuardrailConfigModelOptionalParams,
)
PACKAGE_INSTALLED: Final = importlib.util.find_spec("collieai_guardrail") is not None
API_KEY: Final = "clai_" + "0" * 40
CHAT_REQUEST: Final = {"model": "gpt-5.4-mini", "messages": [{"role": "user", "content": "hello"}]}
class _RecordingGuardrail(CustomGuardrail):
"""Stand-in with the ``collieai_guardrail.guardrail.CollieAIGuardrail`` constructor: it keeps what it was given"""
def __init__(
self,
*,
api_base: str | None = None,
api_key: str | None = None,
guardrail_name: str | None = None,
event_hook: object = None,
default_on: bool | None = None,
**settings: object,
) -> None:
super().__init__(guardrail_name=guardrail_name, default_on=bool(default_on))
self.given = {
"api_base": api_base,
"api_key": api_key,
"guardrail_name": guardrail_name,
"event_hook": event_hook,
"default_on": default_on,
**settings,
}
def _params(**extras: object) -> LitellmParams:
return LitellmParams(
guardrail="collieai", mode=["pre_call", "post_call"], default_on=True, api_key=API_KEY, **extras
)
def _guardrail(litellm_params: LitellmParams) -> Guardrail:
return Guardrail(guardrail_name="collieai", litellm_params=litellm_params)
def _init(litellm_params: LitellmParams) -> _RecordingGuardrail:
callback: Final = initialize_guardrail(
litellm_params, _guardrail(litellm_params), guardrail_cls=_RecordingGuardrail
)
assert isinstance(callback, _RecordingGuardrail)
return callback
@pytest.fixture(autouse=True)
def _isolate_callbacks(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setattr(litellm, "callbacks", [])
def test_hands_the_entry_and_the_package_settings_to_the_package() -> None:
callback: Final = _init(
_params(
api_base="https://collieai.internal.example/v1/integrations/litellm",
enforcement_mode="block",
deadline_ms=2000,
network_margin_ms=300,
max_body_bytes=1024,
forward_conversation_id=True,
summary_interval_s=30,
synthetic_interval_s=0,
workspace_id="not-a-collieai-setting",
)
)
assert callback.given == {
"api_base": "https://collieai.internal.example/v1/integrations/litellm",
"api_key": API_KEY,
"guardrail_name": "collieai",
"event_hook": ["pre_call", "post_call"],
"default_on": True,
"enforcement_mode": "block",
"deadline_ms": 2000,
"network_margin_ms": 300,
"max_body_bytes": 1024,
"forward_conversation_id": True,
"summary_interval_s": 30,
"synthetic_interval_s": 0,
}
assert litellm.callbacks == [callback]
def test_points_at_app_collieai_io_unless_told_otherwise() -> None:
callback: Final = _init(_params())
# The hosted service's base URL, from https://docs.collieai.io/integrations/litellm (2026-10-29)
assert callback.given["api_base"] == DEFAULT_API_BASE == "https://app.collieai.io/v1/integrations/litellm"
assert set(callback.given) == {"api_base", "api_key", "guardrail_name", "event_hook", "default_on"}
def test_hands_each_entry_its_own_name_phase_and_default_on() -> None:
litellm_params: Final = LitellmParams(guardrail="collieai", mode="pre_call", default_on=False, api_key=API_KEY)
callback: Final = initialize_guardrail(
litellm_params,
Guardrail(guardrail_name="collieai-prompts", litellm_params=litellm_params),
guardrail_cls=_RecordingGuardrail,
)
assert isinstance(callback, _RecordingGuardrail)
assert (callback.given["guardrail_name"], callback.given["event_hook"], callback.given["default_on"]) == (
"collieai-prompts",
"pre_call",
False,
)
def test_takes_the_key_from_collieai_api_key_only_when_the_entry_has_none(monkeypatch: pytest.MonkeyPatch) -> None:
from_environment: Final = "clai_" + "1" * 40
monkeypatch.setenv("COLLIEAI_API_KEY", from_environment)
without_key: Final = LitellmParams(guardrail="collieai", mode=["pre_call", "post_call"], default_on=True)
assert _init(without_key).given["api_key"] == from_environment
assert _init(_params()).given["api_key"] == API_KEY
def test_ui_form_defaults_are_what_the_package_gets() -> None:
optional: Final = CollieAiGuardrailConfigModelOptionalParams()
model: Final = CollieAiGuardrailConfigModel(api_key=API_KEY)
callback: Final = _init(
_params(**model.model_dump(exclude={"api_key", "optional_params"}), **optional.model_dump())
)
assert callback.given["api_base"] == model.api_base
assert callback.given["deadline_ms"] == optional.deadline_ms
assert callback.given["forward_conversation_id"] == optional.forward_conversation_id
@pytest.mark.asyncio
async def test_ui_offers_collieai_fields_without_the_package() -> None:
assert CollieAiGuardrail.get_config_model() is CollieAiGuardrailConfigModel
fields: Final = (await get_provider_specific_params())["collieai"]
assert fields["ui_friendly_name"] == "CollieAi"
assert fields["api_key"]["required"] is True
assert fields["api_base"]["default_value"] == DEFAULT_API_BASE
assert set(fields["optional_params"]["fields"]) == {"deadline_ms", "forward_conversation_id"}
@pytest.mark.asyncio
async def test_ui_offers_only_the_two_phases_collieai_checks() -> None:
settings: Final = await get_guardrail_ui_settings()
assert settings.supported_modes_by_provider["collieai"] == ["pre_call", "post_call"]
def test_a_package_without_the_readiness_guard_is_too_old() -> None:
assert not has_readiness_guard(ModuleType("collieai_guardrail.guardrail"))
assert has_readiness_guard(SimpleNamespace(require_guardrail=object()))
def test_only_a_current_package_s_guardrail_class_is_taken() -> None:
guard: Final = object()
assert package_guardrail(SimpleNamespace(require_guardrail=guard, CollieAIGuardrail=_RecordingGuardrail)) is (
_RecordingGuardrail
)
assert package_guardrail(SimpleNamespace(CollieAIGuardrail=_RecordingGuardrail)) is None
assert package_guardrail(SimpleNamespace(require_guardrail=guard, CollieAIGuardrail=object())) is None
assert package_guardrail(SimpleNamespace(require_guardrail=guard, CollieAIGuardrail=ValueError)) is None
def test_builds_on_the_package_only_when_it_is_current() -> None:
current: Final = SimpleNamespace(require_guardrail=object(), CollieAIGuardrail=_RecordingGuardrail)
too_old: Final = SimpleNamespace(CollieAIGuardrail=_RecordingGuardrail)
assert load_base({PACKAGE_MODULE: current}.__getitem__) is _RecordingGuardrail
with pytest.raises(ImportError, match="pip install") as raised:
load_base({PACKAGE_MODULE: too_old}.__getitem__)(guardrail_name="collieai")
assert str(raised.value) == MISSING_PACKAGE_MESSAGE
assert raised.value.__cause__ is None
def test_without_the_package_building_the_guardrail_names_what_to_install() -> None:
cause: Final = ImportError("No module named 'collieai_guardrail'")
def import_module(name: str) -> object:
raise cause
with pytest.raises(ImportError, match="pip install") as raised:
load_base(import_module)(guardrail_name="collieai")
assert str(raised.value) == MISSING_PACKAGE_MESSAGE
assert raised.value.__cause__ is cause
@pytest.mark.skipif(PACKAGE_INSTALLED, reason="exercises the missing-package fallback")
def test_missing_package_fails_at_config_load_with_install_hint() -> None:
with pytest.raises(ImportError, match="pip install"):
InMemoryGuardrailHandler().initialize_guardrail(_guardrail(_params()))
assert litellm.callbacks == []
def _load(monkeypatch: pytest.MonkeyPatch, **extras: object) -> CustomGuardrail:
"""The guardrail as the proxy loads `guardrail: collieai` from its config, with no synthetic check at start. Block
mode also needs the package's readiness guard among the proxy's callbacks, which the config file loads first"""
from collieai_guardrail.guardrail import require_guardrail
block: Final = extras.get("enforcement_mode") == "block"
monkeypatch.setattr(litellm, "callbacks", [require_guardrail] if block else [])
InMemoryGuardrailHandler().initialize_guardrail(_guardrail(_params(synthetic_interval_s=0, **extras)))
loaded: Final = [callback for callback in litellm.callbacks if isinstance(callback, CollieAiGuardrail)]
assert len(loaded) == 1
return loaded[0]
async def _pre_call() -> dict[str, object]:
data: Final = {**CHAT_REQUEST, "metadata": {}}
await ProxyLogging(user_api_key_cache=DualCache()).pre_call_hook(
user_api_key_dict=UserAPIKeyAuth(request_route="/v1/chat/completions"), data=data, call_type="acompletion"
)
return data
@pytest.mark.skipif(not PACKAGE_INSTALLED, reason="needs collieai-litellm-guardrail")
@pytest.mark.asyncio
@respx.mock
async def test_block_refuses_the_call_when_collieai_is_unreachable(monkeypatch: pytest.MonkeyPatch) -> None:
route: Final = respx.post(url__startswith=DEFAULT_API_BASE).mock(side_effect=httpx.ConnectError("refused"))
_load(monkeypatch, enforcement_mode="block")
with pytest.raises((GuardrailRaisedException, HTTPException)) as refused:
await _pre_call()
assert route.called
assert getattr(refused.value, "status_code", None) == 503
@pytest.mark.skipif(not PACKAGE_INSTALLED, reason="needs collieai-litellm-guardrail")
@pytest.mark.asyncio
@respx.mock
async def test_monitor_lets_the_call_go_on_and_records_why(monkeypatch: pytest.MonkeyPatch) -> None:
route: Final = respx.post(url__startswith=DEFAULT_API_BASE).mock(side_effect=httpx.ConnectError("refused"))
_load(monkeypatch)
data: Final = await _pre_call()
assert route.called
metadata: Final = data["metadata"]
assert isinstance(metadata, dict)
[record] = metadata["standard_logging_guardrail_information"]
assert (record["guardrail_provider"], record["guardrail_status"]) == ("collieai", "guardrail_failed_to_respond")

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@ -0,0 +1,6 @@
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@ -393,4 +393,10 @@ export const GUARDRAIL_PRESETS: Record<string, GuardrailPreset> = {
mode: ["pre_call", "post_call"],
defaultOn: false,
},
collieai: {
provider: "Collieai",
guardrailNameSuggestion: "CollieAi",
mode: ["pre_call", "post_call"],
defaultOn: true,
},
};

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@ -6,6 +6,13 @@ import {
LITELLM_CONTENT_FILTER_CARDS,
PARTNER_GUARDRAIL_CARDS,
} from "./guardrail_garden_data";
import {
getGuardrailLogoAndName,
getGuardrailProviders,
guardrailLogoMap,
populateGuardrailProviderMap,
populateGuardrailProviders,
} from "./guardrail_info_helpers";
const EXPECTED_PARTNER_LOGO_FILES: Record<string, string> = {
presidio: "microsoft_azure.svg",
@ -39,6 +46,7 @@ const EXPECTED_PARTNER_LOGO_FILES: Record<string, string> = {
conduct: "conduct.png",
wingback: "wingback.png",
airia: "airia.svg",
collieai: "collieai.svg",
};
describe("guardrail_garden_data logos", () => {
@ -100,3 +108,26 @@ describe("decision model presets", () => {
}
});
});
describe("collieai preset", () => {
it("opens the CollieAi card as an always-on guardrail on both halves of the call", () => {
const expectedPreset = {
provider: "Collieai",
guardrailNameSuggestion: "CollieAi",
mode: ["pre_call", "post_call"],
defaultOn: true,
};
expect(GUARDRAIL_PRESETS["collieai"]).toEqual(expectedPreset);
});
it("uses the provider key the proxy's provider list generates, so saved guardrails keep their name and logo", () => {
const providerParams = { collieai: { ui_friendly_name: "CollieAi" } };
populateGuardrailProviders(providerParams);
populateGuardrailProviderMap(providerParams);
const provider = GUARDRAIL_PRESETS["collieai"].provider;
expect(getGuardrailLogoAndName("collieai")).toEqual({ logo: guardrailLogoMap.CollieAi, displayName: "CollieAi" });
expect(Object.keys(getGuardrailProviders())).toContain(provider);
expect(PARTNER_GUARDRAIL_CARDS.find((card) => card.id === "collieai")?.providerKey).toBe(provider);
});
});

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@ -717,6 +717,16 @@ export const PARTNER_GUARDRAIL_CARDS: GuardrailCardInfo[] = [
tags: ["Security", "Prompt Injection", "PII", "Secrets", "Redaction"],
providerKey: "Airia",
},
{
id: "collieai",
name: "CollieAi",
description:
"CollieAi checks prompts and model responses against your CollieAi policy before and after the model call and records each finding in LiteLLM's guardrail log. It observes by default. Block mode, set in the proxy config file, refuses the calls the policy blocks.",
category: "partner",
logo: guardrailLogoMap["CollieAi"],
tags: ["Security", "Prompt Injection", "PII", "Policy", "Monitoring"],
providerKey: "Collieai",
},
];
export const ALL_CARDS = [...LITELLM_CONTENT_FILTER_CARDS, ...DECISION_MODEL_CARDS, ...PARTNER_GUARDRAIL_CARDS];

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@ -9,6 +9,7 @@ import conductLogo from "../../../../../public/assets/logos/conduct.png";
import aporiaLogo from "../../../../../public/assets/logos/aporia.png";
import bedrockLogo from "../../../../../public/assets/logos/bedrock.svg";
import catoNetworksLogo from "../../../../../public/assets/logos/cato_networks.svg";
import collieaiLogo from "../../../../../public/assets/logos/collieai.svg";
import ciscoLogo from "../../../../../public/assets/logos/cisco.png";
import deepkeepLogo from "../../../../../public/assets/logos/deepkeep.svg";
import enkryptAiLogo from "../../../../../public/assets/logos/enkrypt_ai.avif";
@ -94,6 +95,7 @@ export const guardrail_provider_map: Record<string, string> = {
"LLM Shield Proxy": "llm_shield_proxy",
Conduct: "conduct",
DecisionModel: "decision_model",
Collieai: "collieai",
};
// Search aliases matched alongside the provider label in the add-guardrail provider combobox
@ -332,6 +334,7 @@ export const guardrailLogoMap = {
"Conduct Guard": conductLogo.src,
Wingback: wingbackLogo.src,
"Airia Guardrail": airiaLogo.src,
CollieAi: collieaiLogo.src,
"Decision Model": litellmLogo.src,
} satisfies Record<string, string>;

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@ -14,6 +14,7 @@ describe("logoTreatmentFor", () => {
it("marks a multicolor dark mark for a plate instead of inversion", () => {
expect(logoTreatmentFor("/ui/assets/logos/fireworks.svg")).toBe("plate");
expect(logoTreatmentFor("/ui/assets/logos/collieai.svg")).toBe("plate");
});
it("plates a dark mark with a light knockout, which inversion would flatten away", () => {

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@ -36,6 +36,7 @@ const TREATMENT_BY_ASSET: Readonly<Record<string, LogoTreatment>> = {
"aiml_api.svg": "plate",
"akto.svg": "plate",
"aws.svg": "plate",
"collieai.svg": "plate",
"deepkeep.svg": "plate",
"fireworks.svg": "plate",
"llm_guard.png": "plate",