mirror of
https://github.com/BerriAI/litellm.git
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* refactor: separate OTLP HTTP decoding from trace codec * feat: complete trace ingestion and read paths * fix: encode OTLP protobuf errors in Rust * fix: raise OTLP body limit to 16 MiB * test: cover OTLP auth body parsing boundary * refactor: parse OTLP media type into enum * fix: enforce OTLP body size at HTTP boundary * perf: preserve shared OTLP metadata across ingestion * bench: compare owned and shared trace resource fanout * refactor: extract shared storage and Python conversion caches * refactor: keep shared storage owned by traces * test: keep trace loopback coverage in Rust * test(proxy): adapt trace coverage to injected access context * fix(tracing): satisfy stacked branch lint checks * refactor(tracing): use immutable ingestion payloads * fix(tracing): declare native error encoder export * test(proxy): resolve trace access through dependency * fix(tracing): align merged normalizer types and bridge tests * fix(tracing): address ingestion and diagnostic review findings * fix(proxy): preserve body parsing for partial request scopes * test(proxy): use valid HTTP scopes in request fixtures * test(proxy): complete auth request flow scopes
75 lines
2.3 KiB
Rust
75 lines
2.3 KiB
Rust
//! The CPython runtime adapter: value marshalling, interpreter detachment, the tokio and
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//! asyncio glue, and the driver that runs a native [`Machine`](litellm_host::machine::Machine)
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//! against a Python binding, host services and active call hooks. Everything here is Python-specific by
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//! construction; another host language gets its own crate of the same shape.
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mod argument;
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mod binding;
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mod conversion_cache;
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mod driver;
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mod error;
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mod file_reader;
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mod fork_gate;
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mod gil;
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mod handle;
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mod hooks;
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mod marshal;
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mod native;
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mod owned;
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mod runtime;
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mod services;
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pub use argument::lookup;
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pub use binding::PythonBinding;
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pub use conversion_cache::{FromPythonCache, ToPythonCache};
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pub use driver::{CallOptions, run_call};
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pub use error::{InvokeError, missing_state};
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pub use file_reader::{FileContent, PythonFileReader, py_bytes};
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pub use fork_gate::RuntimeAlreadyStarted;
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pub use gil::{PythonContext, attach_blocking, release_count, release_gil};
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pub use handle::{Execution, ExecutionBody, ExecutionStep, PythonLifecycle};
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pub use hooks::{HookChain, HookResume, HookStep, PythonCallEvent, PythonCallHooks, PythonRuntime};
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pub use marshal::{
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Pythonized, from_py, from_py_argument, json_loads, json_object_field, panic_to_pyerr, to_py,
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};
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pub use owned::PythonOwned;
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pub use runtime::{
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ForkedAfterNativeRuntimeStarted, ProcessReservedForForking, enter_native, poll_async_value,
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ready_future, reserve_process_for_forking, run_async, run_async_value, run_sync,
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run_sync_value, runtime_started,
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};
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pub use services::PythonHostCalls;
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/// Starts the interpreter and imports the standard modules the tests share, once, so
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/// parallel test threads never race a first import of `asyncio`.
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#[cfg(test)]
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pub(crate) fn initialize_python() {
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static IMPORTED: std::sync::Once = std::sync::Once::new();
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pyo3::Python::initialize();
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IMPORTED.call_once(|| {
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pyo3::Python::attach(|py| {
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py.import("asyncio").expect("asyncio imports");
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});
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});
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}
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#[cfg(test)]
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pub(crate) struct InitializedPython;
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#[cfg(test)]
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impl InitializedPython {
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pub(crate) fn attach<F, R>(&self, f: F) -> R
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where
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F: for<'py> FnOnce(pyo3::Python<'py>) -> R,
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{
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pyo3::Python::attach(f)
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}
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}
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#[cfg(test)]
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#[rstest::fixture]
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#[once]
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pub(crate) fn initialized_python() -> InitializedPython {
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initialize_python();
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InitializedPython
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}
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