litellm/litellm-rust/crates/callbacks-legacy-python/src/mapping.rs
devin-ai-integration[bot] 5e38a08741
feat(cache): select Rust caching through explicit cache objects (#43601)
* refactor(cache): organize v2 cache as a package

* docs: clarify experimental v2 guidance

* fix(cache): verify cache-hit accounting and preserve logging metadata

* refactor(cache): separate execution facts from host accounting

* refactor(rust): build messages routes with named dependencies

* wip

* fix(cache): preserve facade policy and preflight fallback

* refactor(cache): defer shared Python logging changes

* test(gateway-inference): allow dead code in shared test helpers

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(cache): key prepared requests and honor facade controls

* feat(cache): use Python caches from Rust Messages inference

* refactor(cache): separate native and Python cache adapters

* refactor(cache): enforce shared composition and adapter boundaries

* fix(cache): let Python key delegated Rust Messages entries

---------

Co-authored-by: Yujong Lee <yujong@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-29 00:01:44 +00:00

288 lines
9.3 KiB
Rust

use litellm_host::{
hooks::CallHooks,
interceptors::{RawResponse, RequestContext, WireRequest},
lifecycle::{ExecutionEvent, FailureOrigin, Timing},
};
use litellm_host_python::{HookStep, PythonCallEvent, PythonRuntime};
use pyo3::{prelude::*, types::PyDict};
use crate::LegacyLogging;
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
pub enum CallBoundary {
PrepareArguments,
BeforeProviderRequest,
AfterProviderResponse,
TransformResponse,
Succeeded,
Failed,
StreamOpened,
StreamChunk,
}
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
pub enum Dispatch {
Call(CallBoundary),
Python(&'static str),
DeclarationOnly,
}
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
pub struct CallbackMapping {
pub callback: &'static str,
pub dispatch: Dispatch,
}
struct Binding<H> {
boundary: CallBoundary,
invoke: H,
callbacks: &'static [&'static str],
}
impl<H> Binding<H> {
fn mappings(&self) -> impl Iterator<Item = CallbackMapping> {
self.callbacks.iter().map(|callback| CallbackMapping {
callback,
dispatch: Dispatch::Call(self.boundary),
})
}
}
type Step<T> = PyResult<HookStep<LegacyLogging, T>>;
type Prepare = fn(&mut LegacyLogging, Python<'_>, Py<PyDict>, f64) -> Step<Py<PyDict>>;
type Before =
fn(&mut LegacyLogging, Python<'_>, Box<WireRequest>, &RequestContext) -> Step<Box<WireRequest>>;
type After = fn(&mut LegacyLogging, Python<'_>, &RawResponse) -> Step<()>;
type Transform = fn(&mut LegacyLogging, Python<'_>, Py<PyAny>, Timing) -> Step<Py<PyAny>>;
type Success = fn(&mut LegacyLogging, Python<'_>, Timing, &Py<PyAny>) -> Step<()>;
type Failure = fn(&mut LegacyLogging, Python<'_>, Timing, FailureOrigin, &PyErr) -> Step<()>;
type Open = fn(&mut LegacyLogging, Python<'_>, &Py<PyAny>) -> PyResult<()>;
type Chunk = fn(&mut LegacyLogging, Python<'_>, &Py<PyAny>) -> PyResult<()>;
const PREPARE: Binding<Prepare> = Binding {
boundary: CallBoundary::PrepareArguments,
invoke: LegacyLogging::prepare_call,
callbacks: &["async_pre_call_deployment_hook"],
};
const BEFORE: Binding<Before> = Binding {
boundary: CallBoundary::BeforeProviderRequest,
invoke: LegacyLogging::pre_call,
callbacks: &["log_pre_api_call", "log_input_event"],
};
const AFTER: Binding<After> = Binding {
boundary: CallBoundary::AfterProviderResponse,
invoke: LegacyLogging::post_call,
callbacks: &["log_post_api_call"],
};
const TRANSFORM: Binding<Transform> = Binding {
boundary: CallBoundary::TransformResponse,
invoke: LegacyLogging::transform_public_response,
callbacks: &["async_post_call_success_deployment_hook"],
};
const SUCCESS: Binding<Success> = Binding {
boundary: CallBoundary::Succeeded,
invoke: LegacyLogging::succeeded,
callbacks: &[
"log_success_event",
"async_log_success_event",
"logging_hook",
"async_logging_hook",
"redact_standard_logging_payload_from_model_call_details",
"log_event",
"async_log_event",
],
};
const FAILURE: Binding<Failure> = Binding {
boundary: CallBoundary::Failed,
invoke: LegacyLogging::failed,
callbacks: &[
"async_post_call_failure_deployment_hook",
"log_failure_event",
"async_log_failure_event",
"log_model_group_rate_limit_error",
"log_event",
"async_log_event",
],
};
const OPEN: Binding<Open> = Binding {
boundary: CallBoundary::StreamOpened,
invoke: LegacyLogging::stream_opened,
callbacks: &[],
};
const CHUNK: Binding<Chunk> = Binding {
boundary: CallBoundary::StreamChunk,
invoke: LegacyLogging::stream_chunk,
callbacks: &[],
};
pub fn callback_mappings() -> impl Iterator<Item = CallbackMapping> {
PREPARE
.mappings()
.chain(BEFORE.mappings())
.chain(AFTER.mappings())
.chain(TRANSFORM.mappings())
.chain(SUCCESS.mappings())
.chain(FAILURE.mappings())
.chain(OPEN.mappings())
.chain(CHUNK.mappings())
.chain(PYTHON_CALLBACKS.iter().copied())
}
impl CallHooks<PythonRuntime> for LegacyLogging {
fn prepare_arguments(
&mut self,
py: Python<'_>,
arguments: Py<PyDict>,
started_at: f64,
) -> Step<Py<PyDict>> {
(PREPARE.invoke)(self, py, arguments, started_at)
}
fn arguments_prepared(&mut self, py: Python<'_>, arguments: &Py<PyDict>) -> PyResult<()> {
self.adopt_arguments(py, arguments);
Ok(())
}
fn before_provider_request(
&mut self,
py: Python<'_>,
wire: Box<WireRequest>,
context: &RequestContext,
) -> Step<Box<WireRequest>> {
(BEFORE.invoke)(self, py, wire, context)
}
fn transform_response(
&mut self,
py: Python<'_>,
response: Py<PyAny>,
timing: Timing,
) -> Step<Py<PyAny>> {
(TRANSFORM.invoke)(self, py, response, timing)
}
fn on_event(&mut self, py: Python<'_>, event: PythonCallEvent<'_>) -> Step<()> {
match event {
PythonCallEvent::Started { .. } | PythonCallEvent::Cancelled { .. } => {
Ok(HookStep::Ready(()))
}
PythonCallEvent::Execution(ExecutionEvent::ResultReady { facts }) => {
self.result_ready(py, &facts)
}
PythonCallEvent::Execution(ExecutionEvent::ProviderResponseReceived { raw }) => {
(AFTER.invoke)(self, py, raw)
}
PythonCallEvent::Succeeded { timing, response } => {
(SUCCESS.invoke)(self, py, timing, response)
}
PythonCallEvent::Failed {
timing,
origin,
error,
} => (FAILURE.invoke)(self, py, timing, origin, error),
}
}
fn on_stream_open(&mut self, py: Python<'_>, head: &Py<PyAny>) -> PyResult<()> {
(OPEN.invoke)(self, py, head)
}
fn on_stream_chunk(&mut self, py: Python<'_>, chunk: &Py<PyAny>) -> PyResult<()> {
(CHUNK.invoke)(self, py, chunk)
}
}
macro_rules! python_callbacks {
($($dispatch:expr => [$($callback:literal),* $(,)?]),* $(,)?) => {
const PYTHON_CALLBACKS: &[CallbackMapping] = &[
$($(CallbackMapping { callback: $callback, dispatch: $dispatch },)*)*
];
};
}
python_callbacks! {
Dispatch::Python("litellm.router") => [
"async_pre_routing_hook",
"async_filter_deployments",
"pre_call_check",
"async_pre_call_check",
],
Dispatch::Python("litellm.router_utils.fallback_event_handlers") => [
"log_success_fallback_event",
"log_failure_fallback_event",
],
Dispatch::Python("litellm.proxy.utils") => [
"async_pre_call_hook",
"async_post_call_response_headers_hook",
"async_post_call_failure_hook",
"async_post_call_success_hook",
"async_moderation_hook",
"async_post_call_streaming_hook",
"async_post_call_streaming_iterator_hook",
"async_filter_listed_models",
],
Dispatch::Python("litellm.litellm_core_utils.litellm_logging") => [
"async_get_chat_completion_prompt",
"get_chat_completion_prompt",
"log_stream_event",
"async_log_stream_event",
"async_post_mcp_tool_call_hook",
],
Dispatch::Python("litellm.llms.anthropic.pass_through.messages.handler") => [
"async_pre_request_hook",
],
Dispatch::Python("litellm.litellm_core_utils.streaming_handler") => [
"async_post_call_streaming_deployment_hook",
],
Dispatch::Python("litellm.responses.streaming_iterator") => [
"async_post_call_streaming_deployment_hook",
],
Dispatch::Python("litellm.main") => [
"translate_completion_input_params",
"translate_completion_output_params",
"translate_completion_output_params_streaming",
],
Dispatch::Python("litellm.integrations.argilla") => ["async_dataset_hook"],
Dispatch::Python("litellm.proxy.management_helpers.audit_logs") => ["async_log_audit_log_event"],
Dispatch::Python("litellm.llms.custom_httpx.llm_http_handler") => [
"async_should_run_agentic_loop",
"async_run_agentic_loop",
"async_build_agentic_loop_plan",
"async_post_agentic_loop_response_hook",
"async_agentic_loop_cleanup_hook",
"async_should_run_chat_completion_agentic_loop",
"async_run_chat_completion_agentic_loop",
"async_build_chat_completion_agentic_loop_plan",
],
Dispatch::Python("litellm.litellm_core_utils.chat_completion_agentic_loop") => [
"async_should_run_agentic_loop",
"async_run_agentic_loop",
"async_build_agentic_loop_plan",
"async_post_agentic_loop_response_hook",
"async_agentic_loop_cleanup_hook",
],
Dispatch::Python("litellm.llms.openai.openai") => [
"async_should_run_chat_completion_agentic_loop",
"async_run_chat_completion_agentic_loop",
],
Dispatch::Python("litellm.proxy.spend_tracking.cold_storage_handler") => [
"get_proxy_server_request_from_cold_storage_with_object_key",
],
Dispatch::Python("litellm.integrations.custom_logger") => [
"truncate_standard_logging_payload_content",
"redacts_messages_itself",
"handle_callback_failure",
"get_callback_env_vars",
],
Dispatch::DeclarationOnly => [
"async_log_pre_api_call",
"async_log_input_event",
],
}