mirror of
https://github.com/BerriAI/litellm.git
synced 2026-10-29 06:33:28 +00:00
Merge pull request #48077 from BerriAI/litellm_backport_47670_47969_stable_1_105_x
chore(release): backport #44345, #47670, #47969, #48055, #48103, #48110 to stable/1.105.x and cut 1.105.4
This commit is contained in:
commit
a3b1add96d
730 changed files with 14276 additions and 9759 deletions
|
|
@ -1,10 +1,10 @@
|
|||
# syntax=docker/dockerfile:1.7
|
||||
|
||||
# Base image for building
|
||||
ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:1d95114038f76513a9ace6fca107d5582b08c65981f81f61cb56bf7fd2ef216d
|
||||
ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:81211e15a86ea1d5357f284482af45730c51de45eaf10ad9ce205d6bfc2df323
|
||||
|
||||
# Runtime image
|
||||
ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:1d95114038f76513a9ace6fca107d5582b08c65981f81f61cb56bf7fd2ef216d
|
||||
ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:81211e15a86ea1d5357f284482af45730c51de45eaf10ad9ce205d6bfc2df323
|
||||
ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a
|
||||
# Pinned by digest like the other base images; bump explicitly on Node upgrades.
|
||||
ARG UI_BUILD_IMAGE=node:24.19-alpine3.24@sha256:d32cdf619f63fe0471182d08996dd516c6275bb5fd31ae06e55a570bd9e1ad43
|
||||
|
|
@ -60,6 +60,7 @@ RUN apk add --no-cache \
|
|||
python-3.13-dev \
|
||||
rust \
|
||||
openssl \
|
||||
libssl3 \
|
||||
openssl-dev \
|
||||
nodejs \
|
||||
npm \
|
||||
|
|
@ -126,7 +127,7 @@ USER root
|
|||
RUN echo "https://packages.wolfi.dev/os" >> /etc/apk/repositories
|
||||
|
||||
# node (without npm) is required by the prisma CLI at runtime
|
||||
RUN apk add --no-cache bash openssl tzdata nodejs python-3.13 libsndfile libevent
|
||||
RUN apk add --no-cache bash openssl libssl3 tzdata nodejs python-3.13 libsndfile libevent
|
||||
COPY --from=pgbouncer-builder /usr/local/bin/pgbouncer /usr/local/bin/pgbouncer
|
||||
|
||||
WORKDIR /app
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:1d95114038f76513a9ace6fca107d5582b08c65981f81f61cb56bf7fd2ef216d
|
||||
ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:1d95114038f76513a9ace6fca107d5582b08c65981f81f61cb56bf7fd2ef216d
|
||||
ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:81211e15a86ea1d5357f284482af45730c51de45eaf10ad9ce205d6bfc2df323
|
||||
ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:81211e15a86ea1d5357f284482af45730c51de45eaf10ad9ce205d6bfc2df323
|
||||
ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a
|
||||
|
||||
FROM $UV_IMAGE AS uvbin
|
||||
|
|
@ -16,7 +16,7 @@ COPY --from=uvbin /uv /uvx /usr/local/bin/
|
|||
# instead of nodeenv downloading one whose dynamic deps may not be in Wolfi
|
||||
# (e.g. Node 26.2.0 needs libatomic). Retry for transient apk.cgr.dev flakes.
|
||||
RUN for i in 1 2 3; do \
|
||||
apk add --no-cache bash gcc python-3.13 python-3.13-dev openssl openssl-dev libsndfile nodejs npm && break; \
|
||||
apk add --no-cache bash gcc python-3.13 python-3.13-dev openssl libssl3 openssl-dev libsndfile nodejs npm && break; \
|
||||
[ $i = 3 ] && { echo "apk add failed after 3 retries" >&2; exit 1; }; \
|
||||
sleep 5; \
|
||||
done
|
||||
|
|
@ -75,7 +75,7 @@ FROM $LITELLM_RUNTIME_IMAGE AS runtime
|
|||
USER root
|
||||
|
||||
RUN for i in 1 2 3; do \
|
||||
apk add --no-cache bash openssl tzdata python-3.13 libsndfile libatomic && break; \
|
||||
apk add --no-cache bash openssl libssl3 tzdata python-3.13 libsndfile libatomic && break; \
|
||||
[ $i = 3 ] && { echo "apk add failed after 3 retries" >&2; exit 1; }; \
|
||||
sleep 5; \
|
||||
done
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
-----BEGIN PUBLIC KEY-----
|
||||
MFkwEwYHKoZIzj0CAQYIKoZIzj0DAQcDQgAEKi4ivqGpE231OGH50PKbqy1Y1Kkb
|
||||
POJC8+i2Wko82gBOUCe3M0Vw86H/4rhUhfoYEti4gdJ9wZbYmK0I2EE96g==
|
||||
MFkwEwYHKoZIzj0CAQYIKoZIzj0DAQcDQgAEG06dpKM+vEDnmp2zcjyXgVCXxzRg
|
||||
JA5H2LnmwBKQafZGka6OOrWujCEWATQewiAgyD4WQdJ0pvU9RC4mvNAjvQ==
|
||||
-----END PUBLIC KEY-----
|
||||
|
|
|
|||
|
|
@ -1,10 +1,10 @@
|
|||
# syntax=docker/dockerfile:1.7
|
||||
|
||||
# Base image for building
|
||||
ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:1d95114038f76513a9ace6fca107d5582b08c65981f81f61cb56bf7fd2ef216d
|
||||
ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:81211e15a86ea1d5357f284482af45730c51de45eaf10ad9ce205d6bfc2df323
|
||||
|
||||
# Runtime image
|
||||
ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:1d95114038f76513a9ace6fca107d5582b08c65981f81f61cb56bf7fd2ef216d
|
||||
ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:81211e15a86ea1d5357f284482af45730c51de45eaf10ad9ce205d6bfc2df323
|
||||
ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a
|
||||
# Pinned by digest like the other base images; bump explicitly on Node upgrades.
|
||||
ARG UI_BUILD_IMAGE=node:24.19-alpine3.24@sha256:d32cdf619f63fe0471182d08996dd516c6275bb5fd31ae06e55a570bd9e1ad43
|
||||
|
|
@ -58,6 +58,7 @@ RUN apk add --no-cache \
|
|||
python-3.13 \
|
||||
python-3.13-dev \
|
||||
openssl \
|
||||
libssl3 \
|
||||
openssl-dev \
|
||||
nodejs \
|
||||
npm \
|
||||
|
|
@ -117,7 +118,7 @@ FROM $LITELLM_RUNTIME_IMAGE AS runtime
|
|||
USER root
|
||||
|
||||
# node (without npm) is required by the prisma CLI at runtime
|
||||
RUN apk add --no-cache bash openssl tzdata nodejs python-3.13 libsndfile libevent
|
||||
RUN apk add --no-cache bash openssl libssl3 tzdata nodejs python-3.13 libsndfile libevent
|
||||
COPY --from=pgbouncer-builder /usr/local/bin/pgbouncer /usr/local/bin/pgbouncer
|
||||
|
||||
WORKDIR /app
|
||||
|
|
|
|||
|
|
@ -1,8 +1,8 @@
|
|||
# syntax=docker/dockerfile:1.7
|
||||
|
||||
# Base images
|
||||
ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:1d95114038f76513a9ace6fca107d5582b08c65981f81f61cb56bf7fd2ef216d
|
||||
ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:1d95114038f76513a9ace6fca107d5582b08c65981f81f61cb56bf7fd2ef216d
|
||||
ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:81211e15a86ea1d5357f284482af45730c51de45eaf10ad9ce205d6bfc2df323
|
||||
ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:81211e15a86ea1d5357f284482af45730c51de45eaf10ad9ce205d6bfc2df323
|
||||
ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a
|
||||
# Pinned by digest like the other base images; bump explicitly on Node upgrades.
|
||||
ARG UI_BUILD_IMAGE=node:24.19-alpine3.24@sha256:d32cdf619f63fe0471182d08996dd516c6275bb5fd31ae06e55a570bd9e1ad43
|
||||
|
|
@ -59,6 +59,7 @@ RUN for i in 1 2 3; do \
|
|||
coreutils \
|
||||
curl \
|
||||
openssl \
|
||||
libssl3 \
|
||||
libsndfile \
|
||||
nodejs \
|
||||
npm && break || sleep 5; \
|
||||
|
|
@ -129,7 +130,7 @@ RUN for i in 1 2 3; do \
|
|||
apk upgrade --no-cache && break || sleep 5; \
|
||||
done && \
|
||||
for i in 1 2 3; do \
|
||||
apk add --no-cache python-3.13 bash openssl tzdata libsndfile nodejs libevent && break || sleep 5; \
|
||||
apk add --no-cache python-3.13 bash openssl libssl3 tzdata libsndfile nodejs libevent && break || sleep 5; \
|
||||
done
|
||||
COPY --from=pgbouncer-builder /usr/local/bin/pgbouncer /usr/local/bin/pgbouncer
|
||||
|
||||
|
|
|
|||
|
|
@ -30,7 +30,7 @@ RUN uv venv --python python && \
|
|||
"google-cloud-aiplatform==1.133.0" \
|
||||
"google-genai==1.37.0" \
|
||||
"anthropic[vertex]==0.84.0" \
|
||||
"grpcio==1.78.0" \
|
||||
"grpcio==1.84.1" \
|
||||
"prometheus-client==0.20.0" \
|
||||
"langfuse==2.59.7" \
|
||||
"opentelemetry-api==1.28.0" \
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:1d95114038f76513a9ace6fca107d5582b08c65981f81f61cb56bf7fd2ef216d
|
||||
ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:1d95114038f76513a9ace6fca107d5582b08c65981f81f61cb56bf7fd2ef216d
|
||||
ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:81211e15a86ea1d5357f284482af45730c51de45eaf10ad9ce205d6bfc2df323
|
||||
ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:81211e15a86ea1d5357f284482af45730c51de45eaf10ad9ce205d6bfc2df323
|
||||
ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a
|
||||
# Checksum from https://www.pgbouncer.org/downloads/ (the Wolfi repo only carries 1.24.x)
|
||||
ARG PGBOUNCER_VERSION=1.26.0
|
||||
|
|
@ -32,7 +32,7 @@ COPY --from=uvbin /uv /uvx /usr/local/bin/
|
|||
# instead of nodeenv downloading one whose dynamic deps may not be in Wolfi
|
||||
# (e.g. Node 26.2.0 needs libatomic). Retry for transient apk.cgr.dev flakes.
|
||||
RUN for i in 1 2 3; do \
|
||||
apk add --no-cache bash gcc python-3.13 python-3.13-dev openssl openssl-dev libsndfile nodejs npm && break; \
|
||||
apk add --no-cache bash gcc python-3.13 python-3.13-dev openssl libssl3 openssl-dev libsndfile nodejs npm && break; \
|
||||
[ $i = 3 ] && { echo "apk add failed after 3 retries" >&2; exit 1; }; \
|
||||
sleep 5; \
|
||||
done
|
||||
|
|
@ -93,7 +93,7 @@ FROM $LITELLM_RUNTIME_IMAGE AS runtime
|
|||
USER root
|
||||
|
||||
RUN for i in 1 2 3; do \
|
||||
apk add --no-cache bash openssl tzdata python-3.13 libsndfile libatomic libevent && break; \
|
||||
apk add --no-cache bash openssl libssl3 tzdata python-3.13 libsndfile libatomic libevent && break; \
|
||||
[ $i = 3 ] && { echo "apk add failed after 3 retries" >&2; exit 1; }; \
|
||||
sleep 5; \
|
||||
done
|
||||
|
|
|
|||
8
litellm-rust/Cargo.lock
generated
8
litellm-rust/Cargo.lock
generated
|
|
@ -8167,18 +8167,18 @@ dependencies = [
|
|||
|
||||
[[package]]
|
||||
name = "webpki-root-certs"
|
||||
version = "1.0.9"
|
||||
version = "1.0.10"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "b96554aa2acc8ccdb7e1c9a58a7a68dd5d13bccc69cd124cb09406db612a1c9b"
|
||||
checksum = "58ec80e73fd8baf57bf0d9615554c75348bda990d6d5bbeab964dd068319fecb"
|
||||
dependencies = [
|
||||
"rustls-pki-types",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "webpki-roots"
|
||||
version = "1.0.9"
|
||||
version = "1.0.10"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "7dcd9d09a39985f5344844e66b0c530a33843579125f23e21e9f0f220850f22a"
|
||||
checksum = "1c1c8e20c8a38fc7d65abfe74eb7280e4aa667e8eec8bc84996d2874810748d9"
|
||||
dependencies = [
|
||||
"rustls-pki-types",
|
||||
]
|
||||
|
|
|
|||
|
|
@ -118,7 +118,7 @@ moka = { version = "0.12.16", features = ["future"] }
|
|||
strum = { version = "0.28.0", features = ["derive"] }
|
||||
url = "2.5.8"
|
||||
percent-encoding = "2.3"
|
||||
webpki-roots = "1"
|
||||
webpki-roots = "1.0.10"
|
||||
time = { version = "0.3.53", features = ["parsing"] }
|
||||
criterion = "0.8.2"
|
||||
fancy-regex = "0.19.2"
|
||||
|
|
|
|||
|
|
@ -104,8 +104,8 @@ def instrument_fastapi_app(app: "FastAPI") -> None:
|
|||
|
||||
Safe no-op when the V2 gate is off or ``opentelemetry-instrumentation-fastapi``
|
||||
is unavailable. This MUST be called at app-creation time — once the lifespan
|
||||
runs, the middleware stack is frozen and ``instrument_app`` raises "Cannot add
|
||||
middleware after an application has started".
|
||||
runs, the middleware stack is frozen and middleware added later never runs, so
|
||||
a late call is skipped without registering anything.
|
||||
|
||||
No ``TracerProvider`` is passed, so the instrumentation binds to the OTel global
|
||||
``ProxyTracerProvider``; the proxy publishes the real provider as the global
|
||||
|
|
@ -115,6 +115,9 @@ def instrument_fastapi_app(app: "FastAPI") -> None:
|
|||
try:
|
||||
if not is_otel_v2_enabled():
|
||||
return
|
||||
if app.middleware_stack is not None:
|
||||
verbose_logger.debug("Skipping OTel V2 FastAPI instrumentation: the app has already started")
|
||||
return
|
||||
|
||||
# Lazy: only the V2-enabled path needs the optional
|
||||
# ``opentelemetry-instrumentation-fastapi`` package, which is not part of the
|
||||
|
|
|
|||
|
|
@ -6,6 +6,7 @@ retry loop and swaps the payload for OTLP/JSON (enums as integers, ids as hex).
|
|||
|
||||
import base64
|
||||
import json
|
||||
import logging
|
||||
from collections.abc import Mapping, Sequence
|
||||
from types import MappingProxyType
|
||||
from typing import Final, TypeAlias
|
||||
|
|
@ -13,9 +14,13 @@ from typing import Final, TypeAlias
|
|||
import requests
|
||||
from google.protobuf.json_format import MessageToDict
|
||||
from opentelemetry.exporter.otlp.proto.common.trace_encoder import encode_spans
|
||||
from opentelemetry.exporter.otlp.proto.http._common import RequestPayloadTooLargeError
|
||||
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
|
||||
from opentelemetry.sdk.trace import ReadableSpan
|
||||
from opentelemetry.sdk.trace.export import SpanExportResult
|
||||
from opentelemetry.semconv.attributes.http_attributes import HTTP_RESPONSE_STATUS_CODE
|
||||
|
||||
_logger: Final = logging.getLogger(__name__)
|
||||
JSON_CONTENT_TYPE: Final = "application/json"
|
||||
_HEX_ID_KEYS: Final = frozenset({"traceId", "spanId", "parentSpanId"})
|
||||
|
||||
|
|
@ -66,12 +71,49 @@ class OTLPJsonSpanExporter(OTLPSpanExporter):
|
|||
def __init__(
|
||||
self,
|
||||
endpoint: str | None,
|
||||
headers: dict[str, str], # mutable-ok: SDK __init__ takes Dict
|
||||
headers: Mapping[str, str],
|
||||
certificate_file: str | None = None,
|
||||
session: "requests.Session | None" = None,
|
||||
*,
|
||||
max_request_size: int | None = None,
|
||||
) -> None:
|
||||
super().__init__(endpoint=endpoint, headers=headers, certificate_file=certificate_file, session=session)
|
||||
self._session.headers["Content-Type"] = JSON_CONTENT_TYPE
|
||||
super().__init__(
|
||||
endpoint=endpoint,
|
||||
headers={**{key.lower(): value for key, value in headers.items()}, "content-type": JSON_CONTENT_TYPE},
|
||||
certificate_file=certificate_file,
|
||||
session=session,
|
||||
max_request_size=max_request_size,
|
||||
)
|
||||
|
||||
def _serialize_spans(self, spans: Sequence[ReadableSpan]) -> bytes:
|
||||
return encode_spans_json(spans)
|
||||
def export(self, spans: Sequence[ReadableSpan]) -> SpanExportResult:
|
||||
if self._shutdown:
|
||||
_logger.warning("Exporter already shutdown, ignoring batch")
|
||||
return SpanExportResult.FAILURE
|
||||
|
||||
with self._metrics.export_operation(len(spans)) as result:
|
||||
try:
|
||||
serialized_data: Final = encode_spans_json(spans)
|
||||
except Exception as error: # noqa: BLE001 # SDK export contract reports encoding failures as results
|
||||
_logger.error("Failed to encode span batch: %s", error)
|
||||
result.error = error
|
||||
return SpanExportResult.FAILURE
|
||||
|
||||
if 0 < self._max_request_size < len(serialized_data):
|
||||
result.error = RequestPayloadTooLargeError(
|
||||
f"Serialized span request size {len(serialized_data)} bytes "
|
||||
f"exceeds max_request_size {self._max_request_size} bytes."
|
||||
)
|
||||
_logger.warning("Dropping span batch: %s", result.error)
|
||||
return SpanExportResult.FAILURE
|
||||
|
||||
export_result: Final = self._client.export(serialized_data)
|
||||
if not export_result.success:
|
||||
result.error = export_result.error
|
||||
result.error_attrs = (
|
||||
{HTTP_RESPONSE_STATUS_CODE: export_result.status_code}
|
||||
if export_result.status_code is not None
|
||||
else None
|
||||
)
|
||||
return SpanExportResult.FAILURE
|
||||
|
||||
return SpanExportResult.SUCCESS
|
||||
|
|
|
|||
|
|
@ -76,6 +76,7 @@ def agentops_preset(
|
|||
|
||||
def _build_agentops_exporter(spec: ExporterSpec) -> SpanExporter:
|
||||
"""Factory for the ``agentops`` exporter kind: a lazy-auth OTLP/HTTP exporter."""
|
||||
import requests
|
||||
from opentelemetry.exporter.otlp.proto.http.trace_exporter import (
|
||||
OTLPSpanExporter,
|
||||
)
|
||||
|
|
@ -89,7 +90,8 @@ def _build_agentops_exporter(spec: ExporterSpec) -> SpanExporter:
|
|||
"""
|
||||
|
||||
def __init__(self, *, endpoint: str | None, api_key: str | None) -> None:
|
||||
super().__init__(endpoint=endpoint)
|
||||
self._agentops_session = requests.Session()
|
||||
super().__init__(endpoint=endpoint, session=self._agentops_session)
|
||||
self._agentops_api_key = api_key
|
||||
self._auth_resolved = False
|
||||
|
||||
|
|
@ -102,10 +104,7 @@ def _build_agentops_exporter(spec: ExporterSpec) -> SpanExporter:
|
|||
try:
|
||||
token: Final = _fetch_agentops_jwt(self._agentops_api_key).get("token")
|
||||
if token:
|
||||
# ``_session`` is the requests.Session the base exporter
|
||||
# POSTs through; updating its Authorization header is how the
|
||||
# minted JWT reaches every subsequent export.
|
||||
self._session.headers["Authorization"] = f"Bearer {token}"
|
||||
self._agentops_session.headers["Authorization"] = f"Bearer {token}"
|
||||
except Exception as e:
|
||||
verbose_logger.debug("AgentOps JWT fetch failed: %s", e)
|
||||
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
|
|
@ -1,36 +1,75 @@
|
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1:"$Sreact.fragment"
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7:"$Sreact.suspense"
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a:X
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||||
${a?`${a} \\
|
||||
`:""}-H 'Content-Type: application/json' \\
|
||||
-d '{
|
||||
${e}
|
||||
}'`);h(o),c.toast.success("Request transformed successfully")}else{let e="string"==typeof n?n:JSON.stringify(n);h(e),c.toast.info("Transformed request received in unexpected format")}}catch(e){console.error("Error transforming request:",e),c.toast.fromError("Failed to transform request")}finally{f(!1)}};return(0,t.jsxs)("div",{className:"p-2",children:[(0,t.jsx)("h1",{className:"text-lg font-medium text-foreground",children:"Playground"}),(0,t.jsx)("p",{className:"text-sm text-muted-foreground",children:"See how LiteLLM transforms your request for the specified provider."}),(0,t.jsxs)("div",{className:"mt-4 grid grid-cols-1 gap-4 lg:grid-cols-2",children:[(0,t.jsxs)(n.Card,{children:[(0,t.jsxs)(n.CardHeader,{children:[(0,t.jsx)(n.CardTitle,{className:"text-2xl font-bold",children:"Original Request"}),(0,t.jsx)(n.CardDescription,{children:"The request you would send to LiteLLM /chat/completions endpoint."})]}),(0,t.jsx)(n.CardContent,{children:(0,t.jsx)(i.Textarea,{className:"h-72 resize-none p-4 font-mono text-sm field-sizing-fixed",value:u,onChange:e=>m(e.target.value),onKeyDown:e=>{(e.metaKey||e.ctrlKey)&&"Enter"===e.key&&(e.preventDefault(),g())},placeholder:"Press Cmd/Ctrl + Enter to transform"})}),(0,t.jsx)(n.CardFooter,{className:"justify-end",children:(0,t.jsxs)(o.Button,{onClick:g,disabled:x,children:[(0,t.jsx)("span",{children:"Transform"}),x?(0,t.jsx)(l.UiLoadingSpinner,{className:"size-4"}):(0,t.jsx)(s.ArrowRight,{})]})})]}),(0,t.jsxs)(n.Card,{children:[(0,t.jsxs)(n.CardHeader,{children:[(0,t.jsx)(n.CardTitle,{className:"text-2xl font-bold",children:"Transformed Request"}),(0,t.jsx)(n.CardDescription,{children:"How LiteLLM transforms your request for the specified provider."}),(0,t.jsx)("p",{className:"mt-2 text-xs text-muted-foreground",children:"Note: Sensitive headers are not shown."})]}),(0,t.jsx)(n.CardContent,{children:(0,t.jsxs)("div",{className:"relative rounded-md bg-muted",children:[(0,t.jsx)("pre",{className:"h-72 overflow-auto p-4 font-mono text-sm",children:p||`curl -X POST \\
|
||||
https://api.openai.com/v1/chat/completions \\
|
||||
-H 'Authorization: Bearer sk-xxx' \\
|
||||
-H 'Content-Type: application/json' \\
|
||||
-d '{
|
||||
"model": "gpt-4",
|
||||
"messages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful assistant."
|
||||
}
|
||||
],
|
||||
"temperature": 0.7
|
||||
}'`}),(0,t.jsx)(o.Button,{variant:"ghost",size:"icon-sm","aria-label":"Copy to clipboard",className:"absolute top-2 right-2",onClick:()=>{navigator.clipboard.writeText(p||""),c.toast.success("Copied to clipboard")},children:(0,t.jsx)(a.Copy,{})})]})})]})]}),(0,t.jsx)("div",{className:"mt-4 text-right",children:(0,t.jsxs)("p",{className:"text-sm text-muted-foreground",children:["Found an error? File an issue"," ",(0,t.jsx)("a",{className:"underline underline-offset-4",href:"https://github.com/BerriAI/litellm/issues",target:"_blank",rel:"noopener noreferrer",children:"here"}),"."]})})]})};var m=e.i(135214);e.s(["default",0,function(){let{accessToken:e}=(0,m.default)();return(0,t.jsx)(u,{accessToken:e})}],411929)}]);
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(globalThis.TURBOPACK||(globalThis.TURBOPACK=[])).push(["object"==typeof document?document.currentScript:void 0,178971,e=>{"use strict";var t=e.i(843476),s=e.i(271645),u=e.i(135214),l=e.i(227409);function n(){let{accessToken:e}=(0,u.default)(),[n,c]=(0,s.useState)([]);return(0,t.jsx)("div",{className:"mx-auto w-full max-w-5xl px-8 py-8",children:(0,t.jsx)(l.default,{accessToken:e??"",selectedServers:n,onChange:c})})}e.s(["default",0,function(){return(0,t.jsx)(s.Suspense,{children:(0,t.jsx)(n,{})})}])}]);
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(()=>{"use strict";(globalThis.TURBOPACK||(globalThis.TURBOPACK=[])).push(["object"==typeof document?document.currentScript:void 0,35440,e=>{var s=e.i(843476),t=e.i(405033),a=e.i(271645),l=e.i(217923),d=e.i(266027),r=e.i(602869),i=e.i(519455),o=e.i(302747);function n(e){return e>=1e6?`${(e/1e6).toFixed(1)}M`:e>=1e3?`${(e/1e3).toFixed(1)}K`:e.toLocaleString()}function u({data:e,maxVal:t}){let a=Math.max(2,Math.floor(200/Math.max(e.length,1)));return(0,s.jsx)("div",{className:"flex items-end gap-px",style:{height:48},children:e.map((e,l)=>{let d=t>0?Math.max(2,e/t*48):2;return(0,s.jsx)("div",{className:"bg-primary rounded-[1px]",style:{width:a,height:d,opacity:.7+e/Math.max(t,1)*.3}},l)})})}let c=[{value:"7d",label:"7d"},{value:"30d",label:"30d"},{value:"90d",label:"90d"}],m=({accessToken:e,userId:t})=>{let m,x,[h,v]=(0,a.useState)("30d"),{start:b,end:g}=(m=new Date,(x=new Date).setDate(m.getDate()-("7d"===h?7:"30d"===h?30:90)),{start:x,end:m}),{data:p,isLoading:f}=(0,d.f)({queryKey:["chat-user-usage",e,t,h],queryFn:()=>(0,r.sh)("user",{accessToken:e,startTime:b,endTime:g,entityIds:t?[t]:null}),enabled:!!e}),j=p?.metadata,N=p?.results??[],_=N.map(e=>e.metrics.spend),y=N.map(e=>e.metrics.api_requests),q=Math.max(..._,0),w=Math.max(...y,0),T=j?[{label:"Total Spend",value:`$${j.total_spend.toFixed(2)}`},{label:"API Requests",value:n(j.total_api_requests)},{label:"Tokens Used",value:n(j.total_tokens),sub:`${n(j.total_prompt_tokens)} in / ${n(j.total_completion_tokens)} out`},{label:"Success Rate",value:j.total_api_requests>0?`${(j.total_successful_requests/j.total_api_requests*100).toFixed(1)}%`:"N/A",sub:j.total_failed_requests>0?`${j.total_failed_requests} failed`:void 0,subVariant:j.total_failed_requests>0?"error":void 0}]:[];return(0,s.jsxs)("div",{className:"w-full",children:[(0,s.jsxs)("div",{className:"flex items-center justify-between mb-4",children:[(0,s.jsxs)("div",{children:[(0,s.jsx)("h2",{className:"text-base font-semibold text-foreground mb-0.5",children:"Your Usage"}),(0,s.jsx)("p",{className:"text-sm text-muted-foreground m-0",children:"Spend and request activity"})]}),(0,s.jsx)("div",{className:"flex gap-1",children:c.map(e=>(0,s.jsx)(i.K,{variant:h===e.value?"default":"outline",size:"sm",onClick:()=>v(e.value),children:e.label},e.value))})]}),f?(0,s.jsx)("div",{className:"grid grid-cols-2 gap-3",children:[void 0,void 0,void 0,void 0].map((e,t)=>(0,s.jsxs)("div",{className:"border rounded-lg p-4 bg-card flex flex-col gap-2",children:[(0,s.jsx)(o.f,{className:"h-3 w-1/2"}),(0,s.jsx)(o.f,{className:"h-5 w-2/3"})]},t))}):j&&0!==j.total_api_requests?(0,s.jsxs)("div",{children:[(0,s.jsx)("div",{className:"grid grid-cols-2 gap-3 mb-5",children:T.map(e=>(0,s.jsxs)("div",{className:"border rounded-lg p-4 bg-card",children:[(0,s.jsx)("div",{className:"text-xs text-muted-foreground mb-1",children:e.label}),(0,s.jsx)("div",{className:"text-xl font-semibold text-foreground",children:e.value}),e.sub&&(0,s.jsx)("div",{className:`text-xs mt-0.5 ${"error"===e.subVariant?"text-destructive":"text-muted-foreground"}`,children:e.sub})]},e.label))}),N.length>1&&(0,s.jsxs)("div",{className:"grid grid-cols-2 gap-3",children:[(0,s.jsxs)("div",{className:"border rounded-lg p-4 bg-card",children:[(0,s.jsx)("div",{className:"text-xs text-muted-foreground mb-2",children:"Daily Spend"}),(0,s.jsx)(u,{data:_,maxVal:q})]}),(0,s.jsxs)("div",{className:"border rounded-lg p-4 bg-card",children:[(0,s.jsx)("div",{className:"text-xs text-muted-foreground mb-2",children:"Daily Requests"}),(0,s.jsx)(u,{data:y,maxVal:w})]})]})]}):(0,s.jsxs)("div",{className:"text-center text-muted-foreground text-sm py-12 border border-dashed rounded-lg",children:[(0,s.jsx)(l.f,{className:"h-6 w-6 mb-3 mx-auto text-muted-foreground/50"}),"No usage data for this period"]})]})};e.s(["default",0,function(){let{accessToken:e,userId:a}=(0,t.k)();return(0,s.jsx)("div",{className:"flex-1 min-h-0 overflow-auto w-full py-8 px-8",children:(0,s.jsx)(m,{accessToken:e,userId:a})})}],35440)},302747,e=>{var s=e.i(843476),t=e.i(196631);e.s(["f",0,function({className:e,...a}){return(0,s.jsx)("div",{"data-slot":"skeleton",className:(0,t.c)("animate-pulse rounded-md bg-muted",e),...a})}])}])})();
|
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|
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|
|||
(globalThis.TURBOPACK||(globalThis.TURBOPACK=[])).push(["object"==typeof document?document.currentScript:void 0,248536,e=>{"use strict";var s=e.i(843476),t=e.i(271645),l=e.i(405033),n=e.i(227409);function i(){let{accessToken:e,selectedMCPServers:t,setSelectedMCPServers:i}=(0,l.useChatShell)();return(0,s.jsx)("div",{className:"flex-1 min-h-0 overflow-auto w-full py-8 px-8",children:(0,s.jsx)(n.default,{accessToken:e,selectedServers:t,onChange:i})})}e.s(["default",0,function(){return(0,s.jsx)(t.Suspense,{children:(0,s.jsx)(i,{})})}])}]);
|
||||
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@ -1,68 +0,0 @@
|
|||
(globalThis.TURBOPACK||(globalThis.TURBOPACK=[])).push(["object"==typeof document?document.currentScript:void 0,191905,e=>{"use strict";var t=e.i(843476),n=e.i(466828),r=e.i(677572),s=e.i(778917),a=e.i(196631);let o=({href:e,className:n})=>(0,t.jsxs)("a",{href:e,target:"_blank",rel:"noopener noreferrer",title:"Open documentation in a new tab",className:(0,a.cn)("inline-flex items-center gap-2 rounded-xl border border-border bg-card/80 px-3.5 py-2 text-sm font-medium text-foreground shadow-xs","hover:bg-card focus-visible:outline-hidden focus-visible:ring-2 focus-visible:ring-ring active:translate-y-[0.5px]",n),children:[(0,t.jsx)("span",{children:"API Reference Docs"}),(0,t.jsx)(s.ExternalLink,{"aria-hidden":!0,className:"h-4 w-4 opacity-80"}),(0,t.jsx)("span",{className:"sr-only",children:"(opens in a new tab)"})]}),i=({proxySettings:e})=>{let s="<your_proxy_base_url>",a=e?.LITELLM_UI_API_DOC_BASE_URL;return a&&a.trim()?s=a:e?.PROXY_BASE_URL&&(s=e.PROXY_BASE_URL),(0,t.jsx)("div",{className:"grid grid-cols-1 gap-2 p-8 h-[80vh] w-full mt-2",children:(0,t.jsxs)("div",{className:"mb-5",children:[(0,t.jsxs)("div",{className:"flex items-center justify-between",children:[(0,t.jsx)("h1",{className:"text-2xl font-semibold text-foreground",children:"OpenAI Compatible Proxy: API Reference"}),(0,t.jsx)(o,{className:"ml-3 shrink-0",href:"https://docs.litellm.ai/docs/proxy/user_keys"})]}),(0,t.jsxs)("p",{className:"mt-2 mb-2 text-sm text-muted-foreground",children:["LiteLLM is OpenAI Compatible. This means your API Key works with the OpenAI SDK. Just replace the base_url to point to your litellm proxy. Example Below"," "]}),(0,t.jsxs)(r.Tabs,{defaultValue:"openai",children:[(0,t.jsxs)(r.TabsList,{variant:"line",className:"border-b rounded-none w-full justify-start h-auto p-0",children:[(0,t.jsx)(r.TabsTrigger,{value:"openai",className:"rounded-none px-4 py-2 flex-none",children:"OpenAI Python SDK"}),(0,t.jsx)(r.TabsTrigger,{value:"llamaindex",className:"rounded-none px-4 py-2 flex-none",children:"LlamaIndex"}),(0,t.jsx)(r.TabsTrigger,{value:"langchain",className:"rounded-none px-4 py-2 flex-none",children:"Langchain Py"})]}),(0,t.jsx)(r.TabsContent,{value:"openai",keepMounted:!0,children:(0,t.jsx)(n.default,{language:"python",code:`import openai
|
||||
client = openai.OpenAI(
|
||||
api_key="your_api_key",
|
||||
base_url="${s}" # LiteLLM Proxy is OpenAI compatible, Read More: https://docs.litellm.ai/docs/proxy/user_keys
|
||||
)
|
||||
|
||||
response = client.chat.completions.create(
|
||||
model="gpt-3.5-turbo", # model to send to the proxy
|
||||
messages = [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "this is a test request, write a short poem"
|
||||
}
|
||||
]
|
||||
)
|
||||
|
||||
print(response)`})}),(0,t.jsx)(r.TabsContent,{value:"llamaindex",keepMounted:!0,children:(0,t.jsx)(n.default,{language:"python",code:`import os, dotenv
|
||||
|
||||
from llama_index.llms import AzureOpenAI
|
||||
from llama_index.embeddings import AzureOpenAIEmbedding
|
||||
from llama_index import VectorStoreIndex, SimpleDirectoryReader, ServiceContext
|
||||
|
||||
llm = AzureOpenAI(
|
||||
engine="azure-gpt-3.5", # model_name on litellm proxy
|
||||
temperature=0.0,
|
||||
azure_endpoint="${s}", # litellm proxy endpoint
|
||||
api_key="<your-master-key>", # litellm proxy API Key
|
||||
api_version="2023-07-01-preview",
|
||||
)
|
||||
|
||||
embed_model = AzureOpenAIEmbedding(
|
||||
deployment_name="azure-embedding-model",
|
||||
azure_endpoint="${s}",
|
||||
api_key="<your-master-key>",
|
||||
api_version="2023-07-01-preview",
|
||||
)
|
||||
|
||||
documents = SimpleDirectoryReader("llama_index_data").load_data()
|
||||
service_context = ServiceContext.from_defaults(llm=llm, embed_model=embed_model)
|
||||
index = VectorStoreIndex.from_documents(documents, service_context=service_context)
|
||||
|
||||
query_engine = index.as_query_engine()
|
||||
response = query_engine.query("What did the author do growing up?")
|
||||
print(response)`})}),(0,t.jsx)(r.TabsContent,{value:"langchain",keepMounted:!0,children:(0,t.jsx)(n.default,{language:"python",code:`from langchain.chat_models import ChatOpenAI
|
||||
from langchain.prompts.chat import (
|
||||
ChatPromptTemplate,
|
||||
HumanMessagePromptTemplate,
|
||||
SystemMessagePromptTemplate,
|
||||
)
|
||||
from langchain.schema import HumanMessage, SystemMessage
|
||||
|
||||
chat = ChatOpenAI(
|
||||
openai_api_base="${s}",
|
||||
model = "gpt-3.5-turbo",
|
||||
temperature=0.1
|
||||
)
|
||||
|
||||
messages = [
|
||||
SystemMessage(
|
||||
content="You are a helpful assistant that im using to make a test request to."
|
||||
),
|
||||
HumanMessage(
|
||||
content="test from litellm. tell me why it's amazing in 1 sentence"
|
||||
),
|
||||
]
|
||||
response = chat(messages)
|
||||
|
||||
print(response)`})})]})]})})};var l=e.i(541202),d=e.i(135214),m=e.i(592392);e.s(["default",0,()=>{let{accessToken:e}=(0,d.default)(),n=(0,m.default)(e);return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(l.DeprecationBanner,{featureName:"The API Reference tab"}),(0,t.jsx)(i,{proxySettings:n})]})}],191905)},541202,e=>{"use strict";var t=e.i(843476),n=e.i(271645),r=e.i(522016),s=e.i(952571),a=e.i(37727);e.s(["DeprecationBanner",0,({featureName:e})=>{let[o,i]=(0,n.useState)(!1);return o?null:(0,t.jsxs)("div",{role:"alert",className:"mb-4 flex items-start gap-3 rounded-lg border border-border bg-muted/50 px-4 py-3 text-sm",children:[(0,t.jsx)(s.Info,{className:"mt-0.5 size-4 shrink-0 text-muted-foreground"}),(0,t.jsxs)("div",{className:"min-w-0 flex-1",children:[(0,t.jsx)("p",{className:"font-medium",children:`${e} is on a draft deprecation list`}),(0,t.jsxs)("p",{className:"mt-1 break-words text-muted-foreground",children:[`${e} is one of several experimental features we're considering removing, potentially as early as September 1, 2026. This list is a draft and is not final. If you rely on this feature, please share feedback on the `,(0,t.jsx)(r.default,{href:"https://github.com/BerriAI/litellm/discussions/32090",target:"_blank",rel:"noopener noreferrer",className:"underline underline-offset-4",children:"deprecation discussion"}),"."]})]}),(0,t.jsx)("button",{type:"button","aria-label":"Close",onClick:()=>i(!0),className:"shrink-0 rounded-md p-0.5 text-muted-foreground transition-colors hover:text-foreground",children:(0,t.jsx)(a.X,{className:"size-4"})})]})}])}]);
|
||||
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(globalThis.TURBOPACK||(globalThis.TURBOPACK=[])).push(["object"==typeof document?document.currentScript:void 0,178971,e=>{"use strict";var s=e.i(843476),t=e.i(271645),n=e.i(135214),c=e.i(227409);function i(){let{accessToken:e}=(0,n.f)(),[i,u]=(0,t.useState)([]);return(0,s.jsx)("div",{className:"mx-auto w-full max-w-5xl px-8 py-8",children:(0,s.jsx)(c.f,{accessToken:e??"",selectedServers:i,onChange:u})})}e.s(["default",0,function(){return(0,s.jsx)(t.Suspense,{children:(0,s.jsx)(i,{})})}])}]);
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