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python-cli
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1
.gitignore
vendored
1
.gitignore
vendored
@@ -3,4 +3,3 @@
|
||||
*.pyc
|
||||
node_modules/
|
||||
*.tsbuildinfo
|
||||
dist/
|
||||
16
README.md
16
README.md
@@ -1,8 +1,10 @@
|
||||
<!-- <img src="https://github.com/openpipe/openpipe/assets/41524992/ca59596e-eb80-40f9-921f-6d67f6e6d8fa" width="72px" /> -->
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||||
|
||||
# OpenPipe
|
||||
|
||||
OpenPipe is a flexible playground for comparing and optimizing LLM prompts. It lets you quickly generate, test and compare candidate prompts, and can automatically [translate](#-translate-between-model-apis) those prompts between models.
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||||
|
||||
<img src="https://github.com/openpipe/openpipe/assets/41524992/66bb1843-cb72-4130-a369-eec2df3b8201" alt="demo">
|
||||
<img src="https://github.com/openpipe/openpipe/assets/41524992/219a844e-3f4e-4f6b-8066-41348b42977b" alt="demo">
|
||||
|
||||
You can use our hosted version of OpenPipe at https://openpipe.ai. You can also clone this repository and [run it locally](#running-locally).
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||||
|
||||
@@ -35,19 +37,25 @@ OpenPipe lets you _template_ a prompt. Use the templating feature to run the pro
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||||
|
||||
Write your prompt in one format and automatically convert it to work with any other model.
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||||
|
||||
<!-- <img width="480" alt="Screenshot 2023-08-01 at 11 55 38 PM" src="https://github.com/OpenPipe/OpenPipe/assets/41524992/1e19ccf2-96b6-4e93-a3a5-1449710d1b5b" alt="translate between models"> -->
|
||||
<img width="480" alt="Screenshot 2023-08-01 at 11 55 38 PM" src="https://github.com/OpenPipe/OpenPipe/assets/41524992/1e19ccf2-96b6-4e93-a3a5-1449710d1b5b" alt="translate between models">
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||||
|
||||
<br><br>
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||||
|
||||
### 🛠️ Refine Your Prompts Automatically
|
||||
|
||||
Use a growing database of best-practice refinements to improve your prompts automatically.
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||||
|
||||
<!-- <img width="480" alt="Screenshot 2023-08-01 at 11 55 38 PM" src="https://github.com/OpenPipe/OpenPipe/assets/41524992/87a27fe7-daef-445c-a5e2-1c82b23f9f99" alt="add function call"> -->
|
||||
<img width="480" alt="Screenshot 2023-08-01 at 11 55 38 PM" src="https://github.com/OpenPipe/OpenPipe/assets/41524992/87a27fe7-daef-445c-a5e2-1c82b23f9f99" alt="add function call">
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||||
|
||||
<br><br>
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||||
|
||||
### 🪄 Auto-generate Test Scenarios
|
||||
|
||||
OpenPipe includes a tool to generate new test scenarios based on your existing prompts and scenarios. Just click "Autogenerate Scenario" to try it out!
|
||||
|
||||
<!-- <img width="600" src="https://github.com/openpipe/openpipe/assets/41524992/219a844e-3f4e-4f6b-8066-41348b42977b" alt="auto-generate"> -->
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||||
<img width="600" src="https://github.com/openpipe/openpipe/assets/41524992/219a844e-3f4e-4f6b-8066-41348b42977b" alt="auto-generate">
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||||
|
||||
<br><br>
|
||||
|
||||
## Running Locally
|
||||
|
||||
|
||||
3
app/@types/nextjs-routes.d.ts
vendored
3
app/@types/nextjs-routes.d.ts
vendored
@@ -19,9 +19,10 @@ declare module "nextjs-routes" {
|
||||
| DynamicRoute<"/api/v1/[...trpc]", { "trpc": string[] }>
|
||||
| StaticRoute<"/api/v1/openapi">
|
||||
| StaticRoute<"/dashboard">
|
||||
| DynamicRoute<"/data/[id]", { "id": string }>
|
||||
| StaticRoute<"/data">
|
||||
| DynamicRoute<"/experiments/[experimentSlug]", { "experimentSlug": string }>
|
||||
| StaticRoute<"/experiments">
|
||||
| StaticRoute<"/fine-tunes">
|
||||
| StaticRoute<"/">
|
||||
| DynamicRoute<"/invitations/[invitationToken]", { "invitationToken": string }>
|
||||
| StaticRoute<"/project/settings">
|
||||
|
||||
@@ -23,7 +23,7 @@ ARG NEXT_PUBLIC_SOCKET_URL
|
||||
ARG NEXT_PUBLIC_HOST
|
||||
ARG NEXT_PUBLIC_SENTRY_DSN
|
||||
ARG SENTRY_AUTH_TOKEN
|
||||
ARG NEXT_PUBLIC_FF_SHOW_BETA_FEATURES
|
||||
ARG NEXT_PUBLIC_FF_SHOW_LOGGED_CALLS
|
||||
|
||||
WORKDIR /code
|
||||
COPY --from=deps /code/node_modules ./node_modules
|
||||
@@ -45,4 +45,4 @@ EXPOSE 3000
|
||||
ENV PORT 3000
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||||
|
||||
# Run the "run-prod.sh" script
|
||||
CMD /code/app/scripts/run-prod.sh
|
||||
CMD /code/app/run-prod.sh
|
||||
@@ -12,8 +12,8 @@
|
||||
"build": "next build",
|
||||
"dev:next": "TZ=UTC next dev",
|
||||
"dev:wss": "pnpm tsx --watch src/wss-server.ts",
|
||||
"worker": "NODE_ENV='development' pnpm tsx --watch src/server/tasks/worker.ts",
|
||||
"dev": "concurrently --kill-others 'pnpm dev:next' 'pnpm dev:wss' 'pnpm worker --watch'",
|
||||
"dev:worker": "NODE_ENV='development' pnpm tsx --watch src/server/tasks/worker.ts",
|
||||
"dev": "concurrently --kill-others 'pnpm dev:next' 'pnpm dev:wss' 'pnpm dev:worker'",
|
||||
"postinstall": "prisma generate",
|
||||
"lint": "next lint",
|
||||
"start": "TZ=UTC next start",
|
||||
@@ -60,7 +60,6 @@
|
||||
"framer-motion": "^10.12.17",
|
||||
"gpt-tokens": "^1.0.10",
|
||||
"graphile-worker": "^0.13.0",
|
||||
"human-id": "^4.0.0",
|
||||
"immer": "^10.0.2",
|
||||
"isolated-vm": "^4.5.0",
|
||||
"json-schema-to-typescript": "^13.0.2",
|
||||
|
||||
@@ -1,48 +0,0 @@
|
||||
/*
|
||||
Warnings:
|
||||
|
||||
- You are about to drop the column `input` on the `DatasetEntry` table. All the data in the column will be lost.
|
||||
- You are about to drop the column `output` on the `DatasetEntry` table. All the data in the column will be lost.
|
||||
- Added the required column `loggedCallId` to the `DatasetEntry` table without a default value. This is not possible if the table is not empty.
|
||||
|
||||
*/
|
||||
-- AlterTable
|
||||
ALTER TABLE "DatasetEntry" DROP COLUMN "input",
|
||||
DROP COLUMN "output",
|
||||
ADD COLUMN "loggedCallId" UUID NOT NULL;
|
||||
|
||||
-- AddForeignKey
|
||||
ALTER TABLE "DatasetEntry" ADD CONSTRAINT "DatasetEntry_loggedCallId_fkey" FOREIGN KEY ("loggedCallId") REFERENCES "LoggedCall"("id") ON DELETE CASCADE ON UPDATE CASCADE;
|
||||
|
||||
-- AlterTable
|
||||
ALTER TABLE "LoggedCallModelResponse" ALTER COLUMN "cost" SET DATA TYPE DOUBLE PRECISION;
|
||||
|
||||
-- CreateEnum
|
||||
CREATE TYPE "FineTuneStatus" AS ENUM ('PENDING', 'TRAINING', 'AWAITING_DEPLOYMENT', 'DEPLOYING', 'DEPLOYED', 'ERROR');
|
||||
|
||||
-- CreateTable
|
||||
CREATE TABLE "FineTune" (
|
||||
"id" UUID NOT NULL,
|
||||
"slug" TEXT NOT NULL,
|
||||
"baseModel" TEXT NOT NULL,
|
||||
"status" "FineTuneStatus" NOT NULL DEFAULT 'PENDING',
|
||||
"trainingStartedAt" TIMESTAMP(3),
|
||||
"trainingFinishedAt" TIMESTAMP(3),
|
||||
"deploymentStartedAt" TIMESTAMP(3),
|
||||
"deploymentFinishedAt" TIMESTAMP(3),
|
||||
"datasetId" UUID NOT NULL,
|
||||
"projectId" UUID NOT NULL,
|
||||
"createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
"updatedAt" TIMESTAMP(3) NOT NULL,
|
||||
|
||||
CONSTRAINT "FineTune_pkey" PRIMARY KEY ("id")
|
||||
);
|
||||
|
||||
-- CreateIndex
|
||||
CREATE UNIQUE INDEX "FineTune_slug_key" ON "FineTune"("slug");
|
||||
|
||||
-- AddForeignKey
|
||||
ALTER TABLE "FineTune" ADD CONSTRAINT "FineTune_datasetId_fkey" FOREIGN KEY ("datasetId") REFERENCES "Dataset"("id") ON DELETE CASCADE ON UPDATE CASCADE;
|
||||
|
||||
-- AddForeignKey
|
||||
ALTER TABLE "FineTune" ADD CONSTRAINT "FineTune_projectId_fkey" FOREIGN KEY ("projectId") REFERENCES "Project"("id") ON DELETE CASCADE ON UPDATE CASCADE;
|
||||
@@ -181,7 +181,6 @@ model Dataset {
|
||||
|
||||
name String
|
||||
datasetEntries DatasetEntry[]
|
||||
fineTunes FineTune[]
|
||||
|
||||
projectId String @db.Uuid
|
||||
project Project @relation(fields: [projectId], references: [id], onDelete: Cascade)
|
||||
@@ -193,8 +192,8 @@ model Dataset {
|
||||
model DatasetEntry {
|
||||
id String @id @default(uuid()) @db.Uuid
|
||||
|
||||
loggedCallId String @db.Uuid
|
||||
loggedCall LoggedCall @relation(fields: [loggedCallId], references: [id], onDelete: Cascade)
|
||||
input String
|
||||
output String?
|
||||
|
||||
datasetId String @db.Uuid
|
||||
dataset Dataset? @relation(fields: [datasetId], references: [id], onDelete: Cascade)
|
||||
@@ -217,7 +216,6 @@ model Project {
|
||||
experiments Experiment[]
|
||||
datasets Dataset[]
|
||||
loggedCalls LoggedCall[]
|
||||
fineTunes FineTune[]
|
||||
apiKeys ApiKey[]
|
||||
}
|
||||
|
||||
@@ -280,7 +278,6 @@ model LoggedCall {
|
||||
|
||||
model String?
|
||||
tags LoggedCallTag[]
|
||||
datasetEntries DatasetEntry[]
|
||||
|
||||
createdAt DateTime @default(now())
|
||||
updatedAt DateTime @updatedAt
|
||||
@@ -315,7 +312,7 @@ model LoggedCallModelResponse {
|
||||
outputTokens Int?
|
||||
finishReason String?
|
||||
completionId String?
|
||||
cost Float?
|
||||
cost Decimal? @db.Decimal(18, 12)
|
||||
|
||||
// The LoggedCall that created this LoggedCallModelResponse
|
||||
originalLoggedCallId String @unique @db.Uuid
|
||||
@@ -430,33 +427,3 @@ model VerificationToken {
|
||||
|
||||
@@unique([identifier, token])
|
||||
}
|
||||
|
||||
enum FineTuneStatus {
|
||||
PENDING
|
||||
TRAINING
|
||||
AWAITING_DEPLOYMENT
|
||||
DEPLOYING
|
||||
DEPLOYED
|
||||
ERROR
|
||||
}
|
||||
|
||||
model FineTune {
|
||||
id String @id @default(uuid()) @db.Uuid
|
||||
|
||||
slug String @unique
|
||||
baseModel String
|
||||
status FineTuneStatus @default(PENDING)
|
||||
trainingStartedAt DateTime?
|
||||
trainingFinishedAt DateTime?
|
||||
deploymentStartedAt DateTime?
|
||||
deploymentFinishedAt DateTime?
|
||||
|
||||
datasetId String @db.Uuid
|
||||
dataset Dataset @relation(fields: [datasetId], references: [id], onDelete: Cascade)
|
||||
|
||||
projectId String @db.Uuid
|
||||
project Project @relation(fields: [projectId], references: [id], onDelete: Cascade)
|
||||
|
||||
createdAt DateTime @default(now())
|
||||
updatedAt DateTime @updatedAt
|
||||
}
|
||||
|
||||
@@ -10,4 +10,6 @@ pnpm tsx src/promptConstructor/migrate.ts
|
||||
|
||||
echo "Starting the server"
|
||||
|
||||
pnpm start
|
||||
pnpm concurrently --kill-others \
|
||||
"pnpm start" \
|
||||
"pnpm tsx src/server/tasks/worker.ts"
|
||||
@@ -1,6 +0,0 @@
|
||||
#! /bin/bash
|
||||
|
||||
set -e
|
||||
cd "$(dirname "$0")/.."
|
||||
apt-get update
|
||||
apt-get install -y htop psql
|
||||
@@ -1,10 +0,0 @@
|
||||
#! /bin/bash
|
||||
|
||||
set -e
|
||||
|
||||
echo "Migrating the database"
|
||||
pnpm prisma migrate deploy
|
||||
|
||||
echo "Starting 4 workers"
|
||||
|
||||
pnpm concurrently "pnpm worker" "pnpm worker" "pnpm worker" "pnpm worker"
|
||||
@@ -1,13 +0,0 @@
|
||||
#! /bin/bash
|
||||
|
||||
set -e
|
||||
|
||||
cd "$(dirname "$0")/../.."
|
||||
|
||||
echo "Env is"
|
||||
echo $ENVIRONMENT
|
||||
|
||||
docker build . --file app/Dockerfile --tag "openpipe-prod"
|
||||
|
||||
# Run the image
|
||||
docker run --env-file app/.env -it --entrypoint "/bin/bash" "openpipe-prod"
|
||||
@@ -3,7 +3,6 @@
|
||||
// https://docs.sentry.io/platforms/javascript/guides/nextjs/
|
||||
|
||||
import * as Sentry from "@sentry/nextjs";
|
||||
import { isError } from "lodash-es";
|
||||
import { env } from "~/env.mjs";
|
||||
|
||||
if (env.NEXT_PUBLIC_SENTRY_DSN) {
|
||||
@@ -16,10 +15,4 @@ if (env.NEXT_PUBLIC_SENTRY_DSN) {
|
||||
// Setting this option to true will print useful information to the console while you're setting up Sentry.
|
||||
debug: false,
|
||||
});
|
||||
} else {
|
||||
// Install local debug exception handler for rejected promises
|
||||
process.on("unhandledRejection", (reason) => {
|
||||
const reasonDetails = isError(reason) ? reason?.stack : reason;
|
||||
console.log("Unhandled Rejection at:", reasonDetails);
|
||||
});
|
||||
}
|
||||
|
||||
@@ -11,7 +11,6 @@ import {
|
||||
Button,
|
||||
Text,
|
||||
useDisclosure,
|
||||
type InputGroupProps,
|
||||
} from "@chakra-ui/react";
|
||||
|
||||
import { FiChevronDown } from "react-icons/fi";
|
||||
@@ -21,25 +20,15 @@ type InputDropdownProps<T> = {
|
||||
options: ReadonlyArray<T>;
|
||||
selectedOption: T;
|
||||
onSelect: (option: T) => void;
|
||||
inputGroupProps?: InputGroupProps;
|
||||
};
|
||||
|
||||
const InputDropdown = <T,>({
|
||||
options,
|
||||
selectedOption,
|
||||
onSelect,
|
||||
inputGroupProps,
|
||||
}: InputDropdownProps<T>) => {
|
||||
const InputDropdown = <T,>({ options, selectedOption, onSelect }: InputDropdownProps<T>) => {
|
||||
const popover = useDisclosure();
|
||||
|
||||
return (
|
||||
<Popover placement="bottom-start" {...popover}>
|
||||
<PopoverTrigger>
|
||||
<InputGroup
|
||||
cursor="pointer"
|
||||
w={(selectedOption as string).length * 14 + 180}
|
||||
{...inputGroupProps}
|
||||
>
|
||||
<InputGroup cursor="pointer" w={(selectedOption as string).length * 14 + 180}>
|
||||
<Input
|
||||
value={selectedOption as string}
|
||||
// eslint-disable-next-line @typescript-eslint/no-empty-function -- controlled input requires onChange
|
||||
|
||||
@@ -43,7 +43,7 @@ export default function OutputCell({
|
||||
|
||||
type OutputSchema = Parameters<typeof provider.normalizeOutput>[0];
|
||||
|
||||
const { mutateAsync: hardRefetchMutate } = api.scenarioVariantCells.hardRefetch.useMutation();
|
||||
const { mutateAsync: hardRefetchMutate } = api.scenarioVariantCells.forceRefetch.useMutation();
|
||||
const [hardRefetch, hardRefetching] = useHandledAsyncCallback(async () => {
|
||||
await hardRefetchMutate({ scenarioId: scenario.id, variantId: variant.id });
|
||||
await utils.scenarioVariantCells.get.invalidate({
|
||||
|
||||
@@ -110,7 +110,7 @@ export default function VariantEditor(props: { variant: PromptVariant }) {
|
||||
setIsChanged(false);
|
||||
|
||||
await utils.promptVariants.list.invalidate();
|
||||
}, [checkForChanges, replaceVariant.mutateAsync]);
|
||||
}, [checkForChanges]);
|
||||
|
||||
useEffect(() => {
|
||||
if (monaco) {
|
||||
|
||||
@@ -77,7 +77,6 @@ export default function OutputsTable({ experimentId }: { experimentId: string |
|
||||
{...sharedProps}
|
||||
borderBottomLeftRadius={isFirst ? 8 : 0}
|
||||
borderBottomRightRadius={isLast ? 8 : 0}
|
||||
boxShadow="5px 5px 15px 1px rgba(0, 0, 0, 0.1);"
|
||||
>
|
||||
<VariantStats variant={variant} />
|
||||
</GridItem>
|
||||
|
||||
@@ -1,19 +1,15 @@
|
||||
import {
|
||||
HStack,
|
||||
IconButton,
|
||||
Text,
|
||||
Select,
|
||||
type StackProps,
|
||||
Icon,
|
||||
useBreakpointValue,
|
||||
} from "@chakra-ui/react";
|
||||
import { HStack, IconButton, Text, Select, type StackProps, Icon } from "@chakra-ui/react";
|
||||
import React, { useCallback } from "react";
|
||||
import { FiChevronsLeft, FiChevronsRight, FiChevronLeft, FiChevronRight } from "react-icons/fi";
|
||||
import { usePageParams } from "~/utils/hooks";
|
||||
|
||||
const pageSizeOptions = [10, 25, 50, 100];
|
||||
|
||||
const Paginator = ({ count, ...props }: { count: number; condense?: boolean } & StackProps) => {
|
||||
const Paginator = ({
|
||||
count,
|
||||
condense,
|
||||
...props
|
||||
}: { count: number; condense?: boolean } & StackProps) => {
|
||||
const { page, pageSize, setPageParams } = usePageParams();
|
||||
|
||||
const lastPage = Math.ceil(count / pageSize);
|
||||
@@ -41,9 +37,6 @@ const Paginator = ({ count, ...props }: { count: number; condense?: boolean } &
|
||||
const goToLastPage = () => setPageParams({ page: lastPage }, "replace");
|
||||
const goToFirstPage = () => setPageParams({ page: 1 }, "replace");
|
||||
|
||||
const isMobile = useBreakpointValue({ base: true, md: false });
|
||||
const condense = isMobile || props.condense;
|
||||
|
||||
if (count === 0) return null;
|
||||
|
||||
return (
|
||||
|
||||
112
app/src/components/datasets/DatasetCard.tsx
Normal file
112
app/src/components/datasets/DatasetCard.tsx
Normal file
@@ -0,0 +1,112 @@
|
||||
import {
|
||||
HStack,
|
||||
Icon,
|
||||
VStack,
|
||||
Text,
|
||||
Divider,
|
||||
Spinner,
|
||||
AspectRatio,
|
||||
SkeletonText,
|
||||
} from "@chakra-ui/react";
|
||||
import { RiDatabase2Line } from "react-icons/ri";
|
||||
import { formatTimePast } from "~/utils/dayjs";
|
||||
import Link from "next/link";
|
||||
import { useRouter } from "next/router";
|
||||
import { BsPlusSquare } from "react-icons/bs";
|
||||
import { api } from "~/utils/api";
|
||||
import { useHandledAsyncCallback } from "~/utils/hooks";
|
||||
import { useAppStore } from "~/state/store";
|
||||
|
||||
type DatasetData = {
|
||||
name: string;
|
||||
numEntries: number;
|
||||
id: string;
|
||||
createdAt: Date;
|
||||
updatedAt: Date;
|
||||
};
|
||||
|
||||
export const DatasetCard = ({ dataset }: { dataset: DatasetData }) => {
|
||||
return (
|
||||
<AspectRatio ratio={1.2} w="full">
|
||||
<VStack
|
||||
as={Link}
|
||||
href={{ pathname: "/data/[id]", query: { id: dataset.id } }}
|
||||
bg="gray.50"
|
||||
_hover={{ bg: "gray.100" }}
|
||||
transition="background 0.2s"
|
||||
cursor="pointer"
|
||||
borderColor="gray.200"
|
||||
borderWidth={1}
|
||||
p={4}
|
||||
justify="space-between"
|
||||
>
|
||||
<HStack w="full" color="gray.700" justify="center">
|
||||
<Icon as={RiDatabase2Line} boxSize={4} />
|
||||
<Text fontWeight="bold">{dataset.name}</Text>
|
||||
</HStack>
|
||||
<HStack h="full" spacing={4} flex={1} align="center">
|
||||
<CountLabel label="Rows" count={dataset.numEntries} />
|
||||
</HStack>
|
||||
<HStack w="full" color="gray.500" fontSize="xs" textAlign="center">
|
||||
<Text flex={1}>Created {formatTimePast(dataset.createdAt)}</Text>
|
||||
<Divider h={4} orientation="vertical" />
|
||||
<Text flex={1}>Updated {formatTimePast(dataset.updatedAt)}</Text>
|
||||
</HStack>
|
||||
</VStack>
|
||||
</AspectRatio>
|
||||
);
|
||||
};
|
||||
|
||||
const CountLabel = ({ label, count }: { label: string; count: number }) => {
|
||||
return (
|
||||
<VStack alignItems="center" flex={1}>
|
||||
<Text color="gray.500" fontWeight="bold">
|
||||
{label}
|
||||
</Text>
|
||||
<Text fontSize="sm" color="gray.500">
|
||||
{count}
|
||||
</Text>
|
||||
</VStack>
|
||||
);
|
||||
};
|
||||
|
||||
export const NewDatasetCard = () => {
|
||||
const router = useRouter();
|
||||
const selectedProjectId = useAppStore((s) => s.selectedProjectId);
|
||||
const createMutation = api.datasets.create.useMutation();
|
||||
const [createDataset, isLoading] = useHandledAsyncCallback(async () => {
|
||||
const newDataset = await createMutation.mutateAsync({ projectId: selectedProjectId ?? "" });
|
||||
await router.push({ pathname: "/data/[id]", query: { id: newDataset.id } });
|
||||
}, [createMutation, router, selectedProjectId]);
|
||||
|
||||
return (
|
||||
<AspectRatio ratio={1.2} w="full">
|
||||
<VStack
|
||||
align="center"
|
||||
justify="center"
|
||||
_hover={{ cursor: "pointer", bg: "gray.50" }}
|
||||
transition="background 0.2s"
|
||||
cursor="pointer"
|
||||
borderColor="gray.200"
|
||||
borderWidth={1}
|
||||
p={4}
|
||||
onClick={createDataset}
|
||||
>
|
||||
<Icon as={isLoading ? Spinner : BsPlusSquare} boxSize={8} />
|
||||
<Text display={{ base: "none", md: "block" }} ml={2}>
|
||||
New Dataset
|
||||
</Text>
|
||||
</VStack>
|
||||
</AspectRatio>
|
||||
);
|
||||
};
|
||||
|
||||
export const DatasetCardSkeleton = () => (
|
||||
<AspectRatio ratio={1.2} w="full">
|
||||
<VStack align="center" borderColor="gray.200" borderWidth={1} p={4} bg="gray.50">
|
||||
<SkeletonText noOfLines={1} w="80%" />
|
||||
<SkeletonText noOfLines={2} w="60%" />
|
||||
<SkeletonText noOfLines={1} w="80%" />
|
||||
</VStack>
|
||||
</AspectRatio>
|
||||
);
|
||||
16
app/src/components/datasets/DatasetEntriesPaginator.tsx
Normal file
16
app/src/components/datasets/DatasetEntriesPaginator.tsx
Normal file
@@ -0,0 +1,16 @@
|
||||
import { type StackProps } from "@chakra-ui/react";
|
||||
|
||||
import { useDatasetEntries } from "~/utils/hooks";
|
||||
import Paginator from "../Paginator";
|
||||
|
||||
const DatasetEntriesPaginator = (props: StackProps) => {
|
||||
const { data } = useDatasetEntries();
|
||||
|
||||
if (!data) return null;
|
||||
|
||||
const { count } = data;
|
||||
|
||||
return <Paginator count={count} {...props} />;
|
||||
};
|
||||
|
||||
export default DatasetEntriesPaginator;
|
||||
31
app/src/components/datasets/DatasetEntriesTable.tsx
Normal file
31
app/src/components/datasets/DatasetEntriesTable.tsx
Normal file
@@ -0,0 +1,31 @@
|
||||
import { type StackProps, VStack, Table, Th, Tr, Thead, Tbody, Text } from "@chakra-ui/react";
|
||||
import { useDatasetEntries } from "~/utils/hooks";
|
||||
import TableRow from "./TableRow";
|
||||
import DatasetEntriesPaginator from "./DatasetEntriesPaginator";
|
||||
|
||||
const DatasetEntriesTable = (props: StackProps) => {
|
||||
const { data } = useDatasetEntries();
|
||||
|
||||
return (
|
||||
<VStack justifyContent="space-between" {...props}>
|
||||
<Table variant="simple" sx={{ "table-layout": "fixed", width: "full" }}>
|
||||
<Thead>
|
||||
<Tr>
|
||||
<Th>Input</Th>
|
||||
<Th>Output</Th>
|
||||
</Tr>
|
||||
</Thead>
|
||||
<Tbody>{data?.entries.map((entry) => <TableRow key={entry.id} entry={entry} />)}</Tbody>
|
||||
</Table>
|
||||
{(!data || data.entries.length) === 0 ? (
|
||||
<Text alignSelf="flex-start" pl={6} color="gray.500">
|
||||
No entries found
|
||||
</Text>
|
||||
) : (
|
||||
<DatasetEntriesPaginator />
|
||||
)}
|
||||
</VStack>
|
||||
);
|
||||
};
|
||||
|
||||
export default DatasetEntriesTable;
|
||||
@@ -0,0 +1,26 @@
|
||||
import { Button, HStack, useDisclosure } from "@chakra-ui/react";
|
||||
import { BiImport } from "react-icons/bi";
|
||||
import { BsStars } from "react-icons/bs";
|
||||
|
||||
import { GenerateDataModal } from "./GenerateDataModal";
|
||||
|
||||
export const DatasetHeaderButtons = () => {
|
||||
const generateModalDisclosure = useDisclosure();
|
||||
|
||||
return (
|
||||
<>
|
||||
<HStack>
|
||||
<Button leftIcon={<BiImport />} colorScheme="blue" variant="ghost">
|
||||
Import Data
|
||||
</Button>
|
||||
<Button leftIcon={<BsStars />} colorScheme="blue" onClick={generateModalDisclosure.onOpen}>
|
||||
Generate Data
|
||||
</Button>
|
||||
</HStack>
|
||||
<GenerateDataModal
|
||||
isOpen={generateModalDisclosure.isOpen}
|
||||
onClose={generateModalDisclosure.onClose}
|
||||
/>
|
||||
</>
|
||||
);
|
||||
};
|
||||
@@ -0,0 +1,128 @@
|
||||
import {
|
||||
Modal,
|
||||
ModalBody,
|
||||
ModalCloseButton,
|
||||
ModalContent,
|
||||
ModalHeader,
|
||||
ModalOverlay,
|
||||
ModalFooter,
|
||||
Text,
|
||||
HStack,
|
||||
VStack,
|
||||
Icon,
|
||||
NumberInput,
|
||||
NumberInputField,
|
||||
NumberInputStepper,
|
||||
NumberIncrementStepper,
|
||||
NumberDecrementStepper,
|
||||
Button,
|
||||
} from "@chakra-ui/react";
|
||||
import { BsStars } from "react-icons/bs";
|
||||
import { useState } from "react";
|
||||
import { useDataset, useHandledAsyncCallback } from "~/utils/hooks";
|
||||
import { api } from "~/utils/api";
|
||||
import AutoResizeTextArea from "~/components/AutoResizeTextArea";
|
||||
|
||||
export const GenerateDataModal = ({
|
||||
isOpen,
|
||||
onClose,
|
||||
}: {
|
||||
isOpen: boolean;
|
||||
onClose: () => void;
|
||||
}) => {
|
||||
const utils = api.useContext();
|
||||
|
||||
const datasetId = useDataset().data?.id;
|
||||
|
||||
const [numToGenerate, setNumToGenerate] = useState<number>(20);
|
||||
const [inputDescription, setInputDescription] = useState<string>(
|
||||
"Each input should contain an email body. Half of the emails should contain event details, and the other half should not.",
|
||||
);
|
||||
const [outputDescription, setOutputDescription] = useState<string>(
|
||||
`Each output should contain "true" or "false", where "true" indicates that the email contains event details.`,
|
||||
);
|
||||
|
||||
const generateEntriesMutation = api.datasetEntries.autogenerateEntries.useMutation();
|
||||
|
||||
const [generateEntries, generateEntriesInProgress] = useHandledAsyncCallback(async () => {
|
||||
if (!inputDescription || !outputDescription || !numToGenerate || !datasetId) return;
|
||||
await generateEntriesMutation.mutateAsync({
|
||||
datasetId,
|
||||
inputDescription,
|
||||
outputDescription,
|
||||
numToGenerate,
|
||||
});
|
||||
await utils.datasetEntries.list.invalidate();
|
||||
onClose();
|
||||
}, [
|
||||
generateEntriesMutation,
|
||||
onClose,
|
||||
inputDescription,
|
||||
outputDescription,
|
||||
numToGenerate,
|
||||
datasetId,
|
||||
]);
|
||||
|
||||
return (
|
||||
<Modal isOpen={isOpen} onClose={onClose} size={{ base: "xl", sm: "2xl", md: "3xl" }}>
|
||||
<ModalOverlay />
|
||||
<ModalContent w={1200}>
|
||||
<ModalHeader>
|
||||
<HStack>
|
||||
<Icon as={BsStars} />
|
||||
<Text>Generate Data</Text>
|
||||
</HStack>
|
||||
</ModalHeader>
|
||||
<ModalCloseButton />
|
||||
<ModalBody maxW="unset">
|
||||
<VStack w="full" spacing={8} padding={8} alignItems="flex-start">
|
||||
<VStack alignItems="flex-start" spacing={2}>
|
||||
<Text fontWeight="bold">Number of Rows:</Text>
|
||||
<NumberInput
|
||||
step={5}
|
||||
defaultValue={15}
|
||||
min={0}
|
||||
max={100}
|
||||
onChange={(valueString) => setNumToGenerate(parseInt(valueString) || 0)}
|
||||
value={numToGenerate}
|
||||
w="24"
|
||||
>
|
||||
<NumberInputField />
|
||||
<NumberInputStepper>
|
||||
<NumberIncrementStepper />
|
||||
<NumberDecrementStepper />
|
||||
</NumberInputStepper>
|
||||
</NumberInput>
|
||||
</VStack>
|
||||
<VStack alignItems="flex-start" w="full" spacing={2}>
|
||||
<Text fontWeight="bold">Input Description:</Text>
|
||||
<AutoResizeTextArea
|
||||
value={inputDescription}
|
||||
onChange={(e) => setInputDescription(e.target.value)}
|
||||
placeholder="Each input should contain..."
|
||||
/>
|
||||
</VStack>
|
||||
<VStack alignItems="flex-start" w="full" spacing={2}>
|
||||
<Text fontWeight="bold">Output Description (optional):</Text>
|
||||
<AutoResizeTextArea
|
||||
value={outputDescription}
|
||||
onChange={(e) => setOutputDescription(e.target.value)}
|
||||
placeholder="The output should contain..."
|
||||
/>
|
||||
</VStack>
|
||||
</VStack>
|
||||
</ModalBody>
|
||||
<ModalFooter>
|
||||
<Button
|
||||
colorScheme="blue"
|
||||
isLoading={generateEntriesInProgress}
|
||||
isDisabled={!numToGenerate || !inputDescription || !outputDescription}
|
||||
onClick={generateEntries}
|
||||
>
|
||||
Generate
|
||||
</Button>
|
||||
</ModalFooter>
|
||||
</ModalContent>
|
||||
</Modal>
|
||||
);
|
||||
};
|
||||
13
app/src/components/datasets/TableRow.tsx
Normal file
13
app/src/components/datasets/TableRow.tsx
Normal file
@@ -0,0 +1,13 @@
|
||||
import { Td, Tr } from "@chakra-ui/react";
|
||||
import { type DatasetEntry } from "@prisma/client";
|
||||
|
||||
const TableRow = ({ entry }: { entry: DatasetEntry }) => {
|
||||
return (
|
||||
<Tr key={entry.id}>
|
||||
<Td>{entry.input}</Td>
|
||||
<Td>{entry.output}</Td>
|
||||
</Tr>
|
||||
);
|
||||
};
|
||||
|
||||
export default TableRow;
|
||||
@@ -1,65 +0,0 @@
|
||||
import { Card, Table, Thead, Tr, Th, Tbody, Td, VStack, Icon, Text } from "@chakra-ui/react";
|
||||
import { FaTable } from "react-icons/fa";
|
||||
import { type FineTuneStatus } from "@prisma/client";
|
||||
|
||||
import dayjs from "~/utils/dayjs";
|
||||
import { useFineTunes } from "~/utils/hooks";
|
||||
|
||||
const FineTunesTable = ({}) => {
|
||||
const { data } = useFineTunes();
|
||||
|
||||
const fineTunes = data?.fineTunes || [];
|
||||
|
||||
return (
|
||||
<Card width="100%" overflowX="auto">
|
||||
{fineTunes.length ? (
|
||||
<Table>
|
||||
<Thead>
|
||||
<Tr>
|
||||
<Th>ID</Th>
|
||||
<Th>Created At</Th>
|
||||
<Th>Base Model</Th>
|
||||
<Th>Dataset Size</Th>
|
||||
<Th>Status</Th>
|
||||
</Tr>
|
||||
</Thead>
|
||||
<Tbody>
|
||||
{fineTunes.map((fineTune) => {
|
||||
return (
|
||||
<Tr key={fineTune.id}>
|
||||
<Td>{fineTune.slug}</Td>
|
||||
<Td>{dayjs(fineTune.createdAt).format("MMMM D h:mm A")}</Td>
|
||||
<Td>{fineTune.baseModel}</Td>
|
||||
<Td>{fineTune.dataset._count.datasetEntries}</Td>
|
||||
<Td fontSize="sm" fontWeight="bold">
|
||||
<Text color={getStatusColor(fineTune.status)}>{fineTune.status}</Text>
|
||||
</Td>
|
||||
</Tr>
|
||||
);
|
||||
})}
|
||||
</Tbody>
|
||||
</Table>
|
||||
) : (
|
||||
<VStack py={8}>
|
||||
<Icon as={FaTable} boxSize={16} color="gray.300" />
|
||||
<Text color="gray.400" fontSize="lg" fontWeight="bold">
|
||||
No Fine Tunes Found
|
||||
</Text>
|
||||
</VStack>
|
||||
)}
|
||||
</Card>
|
||||
);
|
||||
};
|
||||
|
||||
export default FineTunesTable;
|
||||
|
||||
const getStatusColor = (status: FineTuneStatus) => {
|
||||
switch (status) {
|
||||
case "DEPLOYED":
|
||||
return "green.500";
|
||||
case "ERROR":
|
||||
return "red.500";
|
||||
default:
|
||||
return "yellow.500";
|
||||
}
|
||||
};
|
||||
@@ -15,14 +15,12 @@ import Head from "next/head";
|
||||
import Link from "next/link";
|
||||
import { BsGearFill, BsGithub, BsPersonCircle } from "react-icons/bs";
|
||||
import { IoStatsChartOutline } from "react-icons/io5";
|
||||
import { RiHome3Line, RiFlaskLine } from "react-icons/ri";
|
||||
import { FaRobot } from "react-icons/fa";
|
||||
import { RiHome3Line, RiDatabase2Line, RiFlaskLine } from "react-icons/ri";
|
||||
import { signIn, useSession } from "next-auth/react";
|
||||
import { env } from "~/env.mjs";
|
||||
import ProjectMenu from "./ProjectMenu";
|
||||
import NavSidebarOption from "./NavSidebarOption";
|
||||
import IconLink from "./IconLink";
|
||||
import { BetaModal } from "./BetaModal";
|
||||
|
||||
const Divider = () => <Box h="1px" bgColor="gray.300" w="full" />;
|
||||
|
||||
@@ -73,10 +71,21 @@ const NavSidebar = () => {
|
||||
<ProjectMenu />
|
||||
<Divider />
|
||||
|
||||
{env.NEXT_PUBLIC_FF_SHOW_LOGGED_CALLS && (
|
||||
<>
|
||||
<IconLink icon={RiHome3Line} label="Dashboard" href="/dashboard" beta />
|
||||
<IconLink icon={IoStatsChartOutline} label="Request Logs" href="/request-logs" beta />
|
||||
<IconLink icon={FaRobot} label="Fine Tunes" href="/fine-tunes" beta />
|
||||
<IconLink
|
||||
icon={IoStatsChartOutline}
|
||||
label="Request Logs"
|
||||
href="/request-logs"
|
||||
beta
|
||||
/>
|
||||
</>
|
||||
)}
|
||||
<IconLink icon={RiFlaskLine} label="Experiments" href="/experiments" />
|
||||
{env.NEXT_PUBLIC_SHOW_DATA && (
|
||||
<IconLink icon={RiDatabase2Line} label="Data" href="/data" />
|
||||
)}
|
||||
<VStack w="full" alignItems="flex-start" spacing={0} pt={8}>
|
||||
<Text
|
||||
pl={2}
|
||||
@@ -96,7 +105,7 @@ const NavSidebar = () => {
|
||||
<NavSidebarOption>
|
||||
<HStack
|
||||
w="full"
|
||||
p={{ base: 2, md: 4 }}
|
||||
p={4}
|
||||
as={ChakraLink}
|
||||
justifyContent="start"
|
||||
onClick={() => {
|
||||
@@ -132,12 +141,10 @@ export default function AppShell({
|
||||
children,
|
||||
title,
|
||||
requireAuth,
|
||||
requireBeta,
|
||||
}: {
|
||||
children: React.ReactNode;
|
||||
title?: string;
|
||||
requireAuth?: boolean;
|
||||
requireBeta?: boolean;
|
||||
}) {
|
||||
const [vh, setVh] = useState("100vh"); // Default height to prevent flicker on initial render
|
||||
|
||||
@@ -168,7 +175,6 @@ export default function AppShell({
|
||||
}, [requireAuth, user, authLoading]);
|
||||
|
||||
return (
|
||||
<>
|
||||
<Flex h={vh} w="100vw">
|
||||
<Head>
|
||||
<title>{title ? `${title} | OpenPipe` : "OpenPipe"}</title>
|
||||
@@ -178,7 +184,5 @@ export default function AppShell({
|
||||
{children}
|
||||
</Box>
|
||||
</Flex>
|
||||
{requireBeta && !env.NEXT_PUBLIC_FF_SHOW_BETA_FEATURES && <BetaModal />}
|
||||
</>
|
||||
);
|
||||
}
|
||||
|
||||
@@ -1,67 +0,0 @@
|
||||
import {
|
||||
Button,
|
||||
Modal,
|
||||
ModalBody,
|
||||
ModalContent,
|
||||
ModalFooter,
|
||||
ModalHeader,
|
||||
ModalOverlay,
|
||||
VStack,
|
||||
Text,
|
||||
HStack,
|
||||
Icon,
|
||||
Link,
|
||||
} from "@chakra-ui/react";
|
||||
import { BsStars } from "react-icons/bs";
|
||||
import { useRouter } from "next/router";
|
||||
import { useSession } from "next-auth/react";
|
||||
|
||||
export const BetaModal = () => {
|
||||
const router = useRouter();
|
||||
const session = useSession();
|
||||
|
||||
const email = session.data?.user.email ?? "";
|
||||
|
||||
return (
|
||||
<Modal
|
||||
isOpen
|
||||
onClose={router.back}
|
||||
closeOnOverlayClick={false}
|
||||
size={{ base: "xl", md: "2xl" }}
|
||||
>
|
||||
<ModalOverlay />
|
||||
<ModalContent w={1200}>
|
||||
<ModalHeader>
|
||||
<HStack>
|
||||
<Icon as={BsStars} />
|
||||
<Text>Beta-Only Feature</Text>
|
||||
</HStack>
|
||||
</ModalHeader>
|
||||
<ModalBody maxW="unset">
|
||||
<VStack spacing={8} py={4} alignItems="flex-start">
|
||||
<Text fontSize="md">
|
||||
This feature is currently in beta. To receive early access to beta-only features, join
|
||||
the waitlist. You'll receive an email at <b>{email}</b> when you're approved.
|
||||
</Text>
|
||||
</VStack>
|
||||
</ModalBody>
|
||||
<ModalFooter>
|
||||
<HStack spacing={4}>
|
||||
<Button
|
||||
as={Link}
|
||||
textDecoration="none !important"
|
||||
colorScheme="orange"
|
||||
target="_blank"
|
||||
href={`https://ax3nafkw0jp.typeform.com/to/ZNpYqvAc#email=${email}`}
|
||||
>
|
||||
Join Waitlist
|
||||
</Button>
|
||||
<Button colorScheme="blue" onClick={router.back}>
|
||||
Done
|
||||
</Button>
|
||||
</HStack>
|
||||
</ModalFooter>
|
||||
</ModalContent>
|
||||
</Modal>
|
||||
);
|
||||
};
|
||||
@@ -23,6 +23,7 @@ export default function UserMenu({ user, ...rest }: { user: Session } & StackPro
|
||||
);
|
||||
|
||||
return (
|
||||
<>
|
||||
<Popover placement="right">
|
||||
<PopoverTrigger>
|
||||
<NavSidebarOption>
|
||||
@@ -66,5 +67,6 @@ export default function UserMenu({ user, ...rest }: { user: Session } & StackPro
|
||||
</VStack>
|
||||
</PopoverContent>
|
||||
</Popover>
|
||||
</>
|
||||
);
|
||||
}
|
||||
|
||||
@@ -21,7 +21,7 @@ const ActionButton = ({
|
||||
>
|
||||
<HStack spacing={1}>
|
||||
{icon && <Icon as={icon} />}
|
||||
<Text display={{ base: "none", md: "flex" }}>{label}</Text>
|
||||
<Text>{label}</Text>
|
||||
</HStack>
|
||||
</Button>
|
||||
);
|
||||
|
||||
@@ -1,117 +0,0 @@
|
||||
import {
|
||||
Icon,
|
||||
Popover,
|
||||
PopoverTrigger,
|
||||
PopoverContent,
|
||||
VStack,
|
||||
HStack,
|
||||
Button,
|
||||
Text,
|
||||
useDisclosure,
|
||||
Box,
|
||||
} from "@chakra-ui/react";
|
||||
import { BiCheck } from "react-icons/bi";
|
||||
import { BsToggles } from "react-icons/bs";
|
||||
import { useMemo } from "react";
|
||||
|
||||
import { useIsClientRehydrated, useTagNames } from "~/utils/hooks";
|
||||
import { useAppStore } from "~/state/store";
|
||||
import { StaticColumnKeys } from "~/state/columnVisiblitySlice";
|
||||
import ActionButton from "./ActionButton";
|
||||
|
||||
const ColumnVisiblityDropdown = () => {
|
||||
const tagNames = useTagNames().data;
|
||||
|
||||
const visibleColumns = useAppStore((s) => s.columnVisibility.visibleColumns);
|
||||
const toggleColumnVisibility = useAppStore((s) => s.columnVisibility.toggleColumnVisibility);
|
||||
const totalColumns = Object.keys(StaticColumnKeys).length + (tagNames?.length ?? 0);
|
||||
|
||||
const popover = useDisclosure();
|
||||
|
||||
const columnVisiblityOptions = useMemo(() => {
|
||||
const options: { label: string; key: string }[] = [
|
||||
{
|
||||
label: "Sent At",
|
||||
key: StaticColumnKeys.SENT_AT,
|
||||
},
|
||||
{
|
||||
label: "Model",
|
||||
key: StaticColumnKeys.MODEL,
|
||||
},
|
||||
{
|
||||
label: "Duration",
|
||||
key: StaticColumnKeys.DURATION,
|
||||
},
|
||||
{
|
||||
label: "Input Tokens",
|
||||
key: StaticColumnKeys.INPUT_TOKENS,
|
||||
},
|
||||
{
|
||||
label: "Output Tokens",
|
||||
key: StaticColumnKeys.OUTPUT_TOKENS,
|
||||
},
|
||||
{
|
||||
label: "Status Code",
|
||||
key: StaticColumnKeys.STATUS_CODE,
|
||||
},
|
||||
];
|
||||
for (const tagName of tagNames ?? []) {
|
||||
options.push({
|
||||
label: tagName,
|
||||
key: tagName,
|
||||
});
|
||||
}
|
||||
return options;
|
||||
}, [tagNames]);
|
||||
|
||||
const isClientRehydrated = useIsClientRehydrated();
|
||||
if (!isClientRehydrated) return null;
|
||||
|
||||
return (
|
||||
<Popover
|
||||
placement="bottom-start"
|
||||
isOpen={popover.isOpen}
|
||||
onOpen={popover.onOpen}
|
||||
onClose={popover.onClose}
|
||||
>
|
||||
<PopoverTrigger>
|
||||
<Box>
|
||||
<ActionButton
|
||||
label={`Columns (${visibleColumns.size}/${totalColumns})`}
|
||||
icon={BsToggles}
|
||||
/>
|
||||
</Box>
|
||||
</PopoverTrigger>
|
||||
<PopoverContent boxShadow="0 0 40px 4px rgba(0, 0, 0, 0.1);" minW={0} w="auto">
|
||||
<VStack spacing={0} maxH={400} overflowY="auto">
|
||||
{columnVisiblityOptions?.map((option, index) => (
|
||||
<HStack
|
||||
key={index}
|
||||
as={Button}
|
||||
onClick={() => toggleColumnVisibility(option.key)}
|
||||
w="full"
|
||||
minH={10}
|
||||
variant="ghost"
|
||||
justifyContent="space-between"
|
||||
fontWeight="semibold"
|
||||
borderRadius={0}
|
||||
colorScheme="blue"
|
||||
color="black"
|
||||
fontSize="sm"
|
||||
borderBottomWidth={1}
|
||||
>
|
||||
<Text mr={16}>{option.label}</Text>
|
||||
<Box w={5}>
|
||||
{visibleColumns.has(option.key) && (
|
||||
<Icon as={BiCheck} color="blue.500" boxSize={5} />
|
||||
)}
|
||||
</Box>
|
||||
</HStack>
|
||||
))}
|
||||
</VStack>
|
||||
</PopoverContent>
|
||||
</Popover>
|
||||
);
|
||||
};
|
||||
|
||||
export default ColumnVisiblityDropdown;
|
||||
@@ -1,161 +0,0 @@
|
||||
import { useState, useEffect } from "react";
|
||||
import {
|
||||
Modal,
|
||||
ModalOverlay,
|
||||
ModalContent,
|
||||
ModalHeader,
|
||||
ModalCloseButton,
|
||||
ModalBody,
|
||||
ModalFooter,
|
||||
HStack,
|
||||
VStack,
|
||||
Icon,
|
||||
Text,
|
||||
Button,
|
||||
useDisclosure,
|
||||
type UseDisclosureReturn,
|
||||
Input,
|
||||
} from "@chakra-ui/react";
|
||||
import { FaRobot } from "react-icons/fa";
|
||||
import humanId from "human-id";
|
||||
import { useRouter } from "next/router";
|
||||
|
||||
import { useHandledAsyncCallback } from "~/utils/hooks";
|
||||
import { api } from "~/utils/api";
|
||||
import { useAppStore } from "~/state/store";
|
||||
import ActionButton from "./ActionButton";
|
||||
import InputDropdown from "../InputDropdown";
|
||||
import { FiChevronDown } from "react-icons/fi";
|
||||
|
||||
const SUPPORTED_BASE_MODELS = ["llama2-7b", "llama2-13b", "llama2-70b", "gpt-3.5-turbo"];
|
||||
|
||||
const FineTuneButton = () => {
|
||||
const selectedLogIds = useAppStore((s) => s.selectedLogs.selectedLogIds);
|
||||
|
||||
const disclosure = useDisclosure();
|
||||
|
||||
return (
|
||||
<>
|
||||
<ActionButton
|
||||
onClick={disclosure.onOpen}
|
||||
label="Fine Tune"
|
||||
icon={FaRobot}
|
||||
isDisabled={selectedLogIds.size === 0}
|
||||
/>
|
||||
<FineTuneModal disclosure={disclosure} />
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
export default FineTuneButton;
|
||||
|
||||
const FineTuneModal = ({ disclosure }: { disclosure: UseDisclosureReturn }) => {
|
||||
const selectedProjectId = useAppStore((s) => s.selectedProjectId);
|
||||
const selectedLogIds = useAppStore((s) => s.selectedLogs.selectedLogIds);
|
||||
const clearSelectedLogIds = useAppStore((s) => s.selectedLogs.clearSelectedLogIds);
|
||||
|
||||
const [selectedBaseModel, setSelectedBaseModel] = useState(SUPPORTED_BASE_MODELS[0]);
|
||||
const [modelSlug, setModelSlug] = useState(humanId({ separator: "-", capitalize: false }));
|
||||
|
||||
useEffect(() => {
|
||||
if (disclosure.isOpen) {
|
||||
setSelectedBaseModel(SUPPORTED_BASE_MODELS[0]);
|
||||
setModelSlug(humanId({ separator: "-", capitalize: false }));
|
||||
}
|
||||
}, [disclosure.isOpen]);
|
||||
|
||||
const utils = api.useContext();
|
||||
const router = useRouter();
|
||||
|
||||
const createFineTuneMutation = api.fineTunes.create.useMutation();
|
||||
|
||||
const [createFineTune, creationInProgress] = useHandledAsyncCallback(async () => {
|
||||
if (!selectedProjectId || !modelSlug || !selectedBaseModel || !selectedLogIds.size) return;
|
||||
await createFineTuneMutation.mutateAsync({
|
||||
projectId: selectedProjectId,
|
||||
slug: modelSlug,
|
||||
baseModel: selectedBaseModel,
|
||||
selectedLogIds: Array.from(selectedLogIds),
|
||||
});
|
||||
|
||||
await utils.fineTunes.list.invalidate();
|
||||
await router.push({ pathname: "/fine-tunes" });
|
||||
clearSelectedLogIds();
|
||||
disclosure.onClose();
|
||||
}, [createFineTuneMutation, selectedProjectId, selectedLogIds, modelSlug, selectedBaseModel]);
|
||||
|
||||
return (
|
||||
<Modal size={{ base: "xl", md: "2xl" }} {...disclosure}>
|
||||
<ModalOverlay />
|
||||
<ModalContent w={1200}>
|
||||
<ModalHeader>
|
||||
<HStack>
|
||||
<Icon as={FaRobot} />
|
||||
<Text>Fine Tune</Text>
|
||||
</HStack>
|
||||
</ModalHeader>
|
||||
<ModalCloseButton />
|
||||
<ModalBody maxW="unset">
|
||||
<VStack w="full" spacing={8} pt={4} alignItems="flex-start">
|
||||
<Text>
|
||||
We'll train on the <b>{selectedLogIds.size}</b> logs you've selected.
|
||||
</Text>
|
||||
<VStack>
|
||||
<HStack spacing={2} w="full">
|
||||
<Text fontWeight="bold" w={36}>
|
||||
Model ID:
|
||||
</Text>
|
||||
<Input
|
||||
value={modelSlug}
|
||||
onChange={(e) => setModelSlug(e.target.value)}
|
||||
w={48}
|
||||
placeholder="unique-id"
|
||||
onKeyDown={(e) => {
|
||||
// If the user types anything other than a-z, A-Z, or 0-9, replace it with -
|
||||
if (!/[a-zA-Z0-9]/.test(e.key)) {
|
||||
e.preventDefault();
|
||||
setModelSlug((s) => s && `${s}-`);
|
||||
}
|
||||
}}
|
||||
/>
|
||||
</HStack>
|
||||
<HStack spacing={2}>
|
||||
<Text fontWeight="bold" w={36}>
|
||||
Base model:
|
||||
</Text>
|
||||
<InputDropdown
|
||||
options={SUPPORTED_BASE_MODELS}
|
||||
selectedOption={selectedBaseModel}
|
||||
onSelect={(option) => setSelectedBaseModel(option)}
|
||||
inputGroupProps={{ w: 48 }}
|
||||
/>
|
||||
</HStack>
|
||||
</VStack>
|
||||
<Button variant="unstyled" color="blue.600">
|
||||
<HStack>
|
||||
<Text>Advanced Options</Text>
|
||||
<Icon as={FiChevronDown} />
|
||||
</HStack>
|
||||
</Button>
|
||||
</VStack>
|
||||
</ModalBody>
|
||||
<ModalFooter>
|
||||
<HStack>
|
||||
<Button colorScheme="gray" onClick={disclosure.onClose} minW={24}>
|
||||
Cancel
|
||||
</Button>
|
||||
<Button
|
||||
colorScheme="blue"
|
||||
onClick={createFineTune}
|
||||
isLoading={creationInProgress}
|
||||
minW={24}
|
||||
isDisabled={!modelSlug}
|
||||
>
|
||||
Start Training
|
||||
</Button>
|
||||
</HStack>
|
||||
</ModalFooter>
|
||||
</ModalContent>
|
||||
</Modal>
|
||||
);
|
||||
};
|
||||
@@ -10,7 +10,7 @@ export default function LoggedCallsTable() {
|
||||
return (
|
||||
<Card width="100%" overflowX="auto">
|
||||
<Table>
|
||||
<TableHeader showOptions />
|
||||
<TableHeader showCheckbox />
|
||||
<Tbody>
|
||||
{loggedCalls?.calls?.map((loggedCall) => {
|
||||
return (
|
||||
@@ -25,7 +25,7 @@ export default function LoggedCallsTable() {
|
||||
setExpandedRow(loggedCall.id);
|
||||
}
|
||||
}}
|
||||
showOptions
|
||||
showCheckbox
|
||||
/>
|
||||
);
|
||||
})}
|
||||
|
||||
@@ -14,19 +14,21 @@ import {
|
||||
Text,
|
||||
Checkbox,
|
||||
} from "@chakra-ui/react";
|
||||
import dayjs from "dayjs";
|
||||
import relativeTime from "dayjs/plugin/relativeTime";
|
||||
import Link from "next/link";
|
||||
|
||||
import dayjs from "~/utils/dayjs";
|
||||
import { type RouterOutputs } from "~/utils/api";
|
||||
import { FormattedJson } from "./FormattedJson";
|
||||
import { useAppStore } from "~/state/store";
|
||||
import { useIsClientRehydrated, useLoggedCalls, useTagNames } from "~/utils/hooks";
|
||||
import { useLoggedCalls, useTagNames } from "~/utils/hooks";
|
||||
import { useMemo } from "react";
|
||||
import { StaticColumnKeys } from "~/state/columnVisiblitySlice";
|
||||
|
||||
dayjs.extend(relativeTime);
|
||||
|
||||
type LoggedCall = RouterOutputs["loggedCalls"]["list"]["calls"][0];
|
||||
|
||||
export const TableHeader = ({ showOptions }: { showOptions?: boolean }) => {
|
||||
export const TableHeader = ({ showCheckbox }: { showCheckbox?: boolean }) => {
|
||||
const matchingLogIds = useLoggedCalls().data?.matchingLogIds;
|
||||
const selectedLogIds = useAppStore((s) => s.selectedLogs.selectedLogIds);
|
||||
const addAll = useAppStore((s) => s.selectedLogs.addSelectedLogIds);
|
||||
@@ -36,14 +38,10 @@ export const TableHeader = ({ showOptions }: { showOptions?: boolean }) => {
|
||||
return matchingLogIds.every((id) => selectedLogIds.has(id));
|
||||
}, [selectedLogIds, matchingLogIds]);
|
||||
const tagNames = useTagNames().data;
|
||||
const visibleColumns = useAppStore((s) => s.columnVisibility.visibleColumns);
|
||||
const isClientRehydrated = useIsClientRehydrated();
|
||||
if (!isClientRehydrated) return null;
|
||||
|
||||
return (
|
||||
<Thead>
|
||||
<Tr>
|
||||
{showOptions && (
|
||||
{showCheckbox && (
|
||||
<Th pr={0}>
|
||||
<HStack minW={16}>
|
||||
<Checkbox
|
||||
@@ -59,19 +57,13 @@ export const TableHeader = ({ showOptions }: { showOptions?: boolean }) => {
|
||||
</HStack>
|
||||
</Th>
|
||||
)}
|
||||
{visibleColumns.has(StaticColumnKeys.SENT_AT) && <Th>Sent At</Th>}
|
||||
{visibleColumns.has(StaticColumnKeys.MODEL) && <Th>Model</Th>}
|
||||
{tagNames
|
||||
?.filter((tagName) => visibleColumns.has(tagName))
|
||||
.map((tagName) => (
|
||||
<Th key={tagName} textTransform={"none"}>
|
||||
{tagName}
|
||||
</Th>
|
||||
))}
|
||||
{visibleColumns.has(StaticColumnKeys.DURATION) && <Th isNumeric>Duration</Th>}
|
||||
{visibleColumns.has(StaticColumnKeys.INPUT_TOKENS) && <Th isNumeric>Input tokens</Th>}
|
||||
{visibleColumns.has(StaticColumnKeys.OUTPUT_TOKENS) && <Th isNumeric>Output tokens</Th>}
|
||||
{visibleColumns.has(StaticColumnKeys.STATUS_CODE) && <Th isNumeric>Status</Th>}
|
||||
<Th>Sent At</Th>
|
||||
<Th>Model</Th>
|
||||
{tagNames?.map((tagName) => <Th key={tagName}>{tagName}</Th>)}
|
||||
<Th isNumeric>Duration</Th>
|
||||
<Th isNumeric>Input tokens</Th>
|
||||
<Th isNumeric>Output tokens</Th>
|
||||
<Th isNumeric>Status</Th>
|
||||
</Tr>
|
||||
</Thead>
|
||||
);
|
||||
@@ -81,12 +73,12 @@ export const TableRow = ({
|
||||
loggedCall,
|
||||
isExpanded,
|
||||
onToggle,
|
||||
showOptions,
|
||||
showCheckbox,
|
||||
}: {
|
||||
loggedCall: LoggedCall;
|
||||
isExpanded: boolean;
|
||||
onToggle: () => void;
|
||||
showOptions?: boolean;
|
||||
showCheckbox?: boolean;
|
||||
}) => {
|
||||
const isError = loggedCall.modelResponse?.statusCode !== 200;
|
||||
const requestedAt = dayjs(loggedCall.requestedAt).format("MMMM D h:mm A");
|
||||
@@ -96,14 +88,6 @@ export const TableRow = ({
|
||||
const toggleChecked = useAppStore((s) => s.selectedLogs.toggleSelectedLogId);
|
||||
|
||||
const tagNames = useTagNames().data;
|
||||
const visibleColumns = useAppStore((s) => s.columnVisibility.visibleColumns);
|
||||
|
||||
const visibleTagNames = useMemo(() => {
|
||||
return tagNames?.filter((tagName) => visibleColumns.has(tagName)) ?? [];
|
||||
}, [tagNames, visibleColumns]);
|
||||
|
||||
const isClientRehydrated = useIsClientRehydrated();
|
||||
if (!isClientRehydrated) return null;
|
||||
|
||||
return (
|
||||
<>
|
||||
@@ -116,12 +100,11 @@ export const TableRow = ({
|
||||
}}
|
||||
fontSize="sm"
|
||||
>
|
||||
{showOptions && (
|
||||
{showCheckbox && (
|
||||
<Td>
|
||||
<Checkbox isChecked={isChecked} onChange={() => toggleChecked(loggedCall.id)} />
|
||||
</Td>
|
||||
)}
|
||||
{visibleColumns.has(StaticColumnKeys.SENT_AT) && (
|
||||
<Td>
|
||||
<Tooltip label={fullTime} placement="top">
|
||||
<Box whiteSpace="nowrap" minW="120px">
|
||||
@@ -129,8 +112,6 @@ export const TableRow = ({
|
||||
</Box>
|
||||
</Tooltip>
|
||||
</Td>
|
||||
)}
|
||||
{visibleColumns.has(StaticColumnKeys.MODEL) && (
|
||||
<Td>
|
||||
<HStack justifyContent="flex-start">
|
||||
<Text
|
||||
@@ -147,11 +128,7 @@ export const TableRow = ({
|
||||
</Text>
|
||||
</HStack>
|
||||
</Td>
|
||||
)}
|
||||
{visibleTagNames.map((tagName) => (
|
||||
<Td key={tagName}>{loggedCall.tags[tagName]}</Td>
|
||||
))}
|
||||
{visibleColumns.has(StaticColumnKeys.DURATION) && (
|
||||
{tagNames?.map((tagName) => <Td key={tagName}>{loggedCall.tags[tagName]}</Td>)}
|
||||
<Td isNumeric>
|
||||
{loggedCall.cacheHit ? (
|
||||
<Text color="gray.500">Cached</Text>
|
||||
@@ -159,21 +136,14 @@ export const TableRow = ({
|
||||
((loggedCall.modelResponse?.durationMs ?? 0) / 1000).toFixed(2) + "s"
|
||||
)}
|
||||
</Td>
|
||||
)}
|
||||
{visibleColumns.has(StaticColumnKeys.INPUT_TOKENS) && (
|
||||
<Td isNumeric>{loggedCall.modelResponse?.inputTokens}</Td>
|
||||
)}
|
||||
{visibleColumns.has(StaticColumnKeys.OUTPUT_TOKENS) && (
|
||||
<Td isNumeric>{loggedCall.modelResponse?.outputTokens}</Td>
|
||||
)}
|
||||
{visibleColumns.has(StaticColumnKeys.STATUS_CODE) && (
|
||||
<Td sx={{ color: isError ? "red.500" : "green.500", fontWeight: "semibold" }} isNumeric>
|
||||
{loggedCall.modelResponse?.statusCode ?? "No response"}
|
||||
</Td>
|
||||
)}
|
||||
</Tr>
|
||||
<Tr>
|
||||
<Td colSpan={visibleColumns.size + 1} w="full" p={0}>
|
||||
<Td colSpan={8} p={0}>
|
||||
<Collapse in={isExpanded} unmountOnExit={true}>
|
||||
<VStack p={4} align="stretch">
|
||||
<HStack align="stretch">
|
||||
|
||||
@@ -26,14 +26,6 @@ export const env = createEnv({
|
||||
SMTP_PORT: z.string().default("placeholder"),
|
||||
SMTP_LOGIN: z.string().default("placeholder"),
|
||||
SMTP_PASSWORD: z.string().default("placeholder"),
|
||||
WORKER_CONCURRENCY: z
|
||||
.string()
|
||||
.default("10")
|
||||
.transform((val) => parseInt(val)),
|
||||
WORKER_MAX_POOL_SIZE: z
|
||||
.string()
|
||||
.default("10")
|
||||
.transform((val) => parseInt(val)),
|
||||
},
|
||||
|
||||
/**
|
||||
@@ -46,7 +38,8 @@ export const env = createEnv({
|
||||
NEXT_PUBLIC_SOCKET_URL: z.string().url().default("http://localhost:3318"),
|
||||
NEXT_PUBLIC_HOST: z.string().url().default("http://localhost:3000"),
|
||||
NEXT_PUBLIC_SENTRY_DSN: z.string().optional(),
|
||||
NEXT_PUBLIC_FF_SHOW_BETA_FEATURES: z.string().optional(),
|
||||
NEXT_PUBLIC_SHOW_DATA: z.string().optional(),
|
||||
NEXT_PUBLIC_FF_SHOW_LOGGED_CALLS: z.string().optional(),
|
||||
},
|
||||
|
||||
/**
|
||||
@@ -61,6 +54,7 @@ export const env = createEnv({
|
||||
NEXT_PUBLIC_POSTHOG_KEY: process.env.NEXT_PUBLIC_POSTHOG_KEY,
|
||||
NEXT_PUBLIC_SOCKET_URL: process.env.NEXT_PUBLIC_SOCKET_URL,
|
||||
NEXT_PUBLIC_HOST: process.env.NEXT_PUBLIC_HOST,
|
||||
NEXT_PUBLIC_SHOW_DATA: process.env.NEXT_PUBLIC_SHOW_DATA,
|
||||
GITHUB_CLIENT_ID: process.env.GITHUB_CLIENT_ID,
|
||||
GITHUB_CLIENT_SECRET: process.env.GITHUB_CLIENT_SECRET,
|
||||
REPLICATE_API_TOKEN: process.env.REPLICATE_API_TOKEN,
|
||||
@@ -68,14 +62,12 @@ export const env = createEnv({
|
||||
NEXT_PUBLIC_SENTRY_DSN: process.env.NEXT_PUBLIC_SENTRY_DSN,
|
||||
SENTRY_AUTH_TOKEN: process.env.SENTRY_AUTH_TOKEN,
|
||||
OPENPIPE_API_KEY: process.env.OPENPIPE_API_KEY,
|
||||
NEXT_PUBLIC_FF_SHOW_BETA_FEATURES: process.env.NEXT_PUBLIC_FF_SHOW_BETA_FEATURES,
|
||||
NEXT_PUBLIC_FF_SHOW_LOGGED_CALLS: process.env.NEXT_PUBLIC_FF_SHOW_LOGGED_CALLS,
|
||||
SENDER_EMAIL: process.env.SENDER_EMAIL,
|
||||
SMTP_HOST: process.env.SMTP_HOST,
|
||||
SMTP_PORT: process.env.SMTP_PORT,
|
||||
SMTP_LOGIN: process.env.SMTP_LOGIN,
|
||||
SMTP_PASSWORD: process.env.SMTP_PASSWORD,
|
||||
WORKER_CONCURRENCY: process.env.WORKER_CONCURRENCY,
|
||||
WORKER_MAX_POOL_SIZE: process.env.WORKER_MAX_POOL_SIZE,
|
||||
},
|
||||
/**
|
||||
* Run `build` or `dev` with `SKIP_ENV_VALIDATION` to skip env validation.
|
||||
|
||||
@@ -16,16 +16,7 @@ export async function getCompletion(
|
||||
try {
|
||||
if (onStream) {
|
||||
const resp = await openai.chat.completions.create(
|
||||
{
|
||||
...input,
|
||||
stream: true,
|
||||
openpipe: {
|
||||
tags: {
|
||||
prompt_id: "getCompletion",
|
||||
stream: "true",
|
||||
},
|
||||
},
|
||||
},
|
||||
{ ...input, stream: true },
|
||||
{
|
||||
maxRetries: 0,
|
||||
},
|
||||
@@ -43,16 +34,7 @@ export async function getCompletion(
|
||||
}
|
||||
} else {
|
||||
const resp = await openai.chat.completions.create(
|
||||
{
|
||||
...input,
|
||||
stream: false,
|
||||
openpipe: {
|
||||
tags: {
|
||||
prompt_id: "getCompletion",
|
||||
stream: "false",
|
||||
},
|
||||
},
|
||||
},
|
||||
{ ...input, stream: false },
|
||||
{
|
||||
maxRetries: 0,
|
||||
},
|
||||
|
||||
@@ -33,7 +33,7 @@ export default function Dashboard() {
|
||||
);
|
||||
|
||||
return (
|
||||
<AppShell title="Dashboard" requireAuth requireBeta>
|
||||
<AppShell title="Dashboard" requireAuth>
|
||||
<VStack px={8} py={8} alignItems="flex-start" spacing={4}>
|
||||
<Text fontSize="2xl" fontWeight="bold">
|
||||
Dashboard
|
||||
|
||||
97
app/src/pages/data/[id].tsx
Normal file
97
app/src/pages/data/[id].tsx
Normal file
@@ -0,0 +1,97 @@
|
||||
import {
|
||||
Box,
|
||||
Breadcrumb,
|
||||
BreadcrumbItem,
|
||||
Center,
|
||||
Flex,
|
||||
Icon,
|
||||
Input,
|
||||
VStack,
|
||||
} from "@chakra-ui/react";
|
||||
import Link from "next/link";
|
||||
|
||||
import { useRouter } from "next/router";
|
||||
import { useState, useEffect } from "react";
|
||||
import { RiDatabase2Line } from "react-icons/ri";
|
||||
import AppShell from "~/components/nav/AppShell";
|
||||
import { api } from "~/utils/api";
|
||||
import { useDataset, useHandledAsyncCallback } from "~/utils/hooks";
|
||||
import DatasetEntriesTable from "~/components/datasets/DatasetEntriesTable";
|
||||
import { DatasetHeaderButtons } from "~/components/datasets/DatasetHeaderButtons/DatasetHeaderButtons";
|
||||
import PageHeaderContainer from "~/components/nav/PageHeaderContainer";
|
||||
import ProjectBreadcrumbContents from "~/components/nav/ProjectBreadcrumbContents";
|
||||
|
||||
export default function Dataset() {
|
||||
const router = useRouter();
|
||||
const utils = api.useContext();
|
||||
|
||||
const dataset = useDataset();
|
||||
const datasetId = router.query.id as string;
|
||||
|
||||
const [name, setName] = useState(dataset.data?.name || "");
|
||||
useEffect(() => {
|
||||
setName(dataset.data?.name || "");
|
||||
}, [dataset.data?.name]);
|
||||
|
||||
const updateMutation = api.datasets.update.useMutation();
|
||||
const [onSaveName] = useHandledAsyncCallback(async () => {
|
||||
if (name && name !== dataset.data?.name && dataset.data?.id) {
|
||||
await updateMutation.mutateAsync({
|
||||
id: dataset.data.id,
|
||||
updates: { name: name },
|
||||
});
|
||||
await Promise.all([utils.datasets.list.invalidate(), utils.datasets.get.invalidate()]);
|
||||
}
|
||||
}, [updateMutation, dataset.data?.id, dataset.data?.name, name]);
|
||||
|
||||
if (!dataset.isLoading && !dataset.data) {
|
||||
return (
|
||||
<AppShell title="Dataset not found">
|
||||
<Center h="100%">
|
||||
<div>Dataset not found 😕</div>
|
||||
</Center>
|
||||
</AppShell>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<AppShell title={dataset.data?.name}>
|
||||
<VStack h="full">
|
||||
<PageHeaderContainer>
|
||||
<Breadcrumb>
|
||||
<BreadcrumbItem>
|
||||
<ProjectBreadcrumbContents projectName={dataset.data?.project?.name} />
|
||||
</BreadcrumbItem>
|
||||
<BreadcrumbItem>
|
||||
<Link href="/data">
|
||||
<Flex alignItems="center" _hover={{ textDecoration: "underline" }}>
|
||||
<Icon as={RiDatabase2Line} boxSize={4} mr={2} /> Datasets
|
||||
</Flex>
|
||||
</Link>
|
||||
</BreadcrumbItem>
|
||||
<BreadcrumbItem isCurrentPage>
|
||||
<Input
|
||||
size="sm"
|
||||
value={name}
|
||||
onChange={(e) => setName(e.target.value)}
|
||||
onBlur={onSaveName}
|
||||
borderWidth={1}
|
||||
borderColor="transparent"
|
||||
fontSize={16}
|
||||
px={0}
|
||||
minW={{ base: 100, lg: 300 }}
|
||||
flex={1}
|
||||
_hover={{ borderColor: "gray.300" }}
|
||||
_focus={{ borderColor: "blue.500", outline: "none" }}
|
||||
/>
|
||||
</BreadcrumbItem>
|
||||
</Breadcrumb>
|
||||
<DatasetHeaderButtons />
|
||||
</PageHeaderContainer>
|
||||
<Box w="full" overflowX="auto" flex={1} px={8} pt={8} pb={16}>
|
||||
{datasetId && <DatasetEntriesTable />}
|
||||
</Box>
|
||||
</VStack>
|
||||
</AppShell>
|
||||
);
|
||||
}
|
||||
49
app/src/pages/data/index.tsx
Normal file
49
app/src/pages/data/index.tsx
Normal file
@@ -0,0 +1,49 @@
|
||||
import { SimpleGrid, Icon, Breadcrumb, BreadcrumbItem, Flex } from "@chakra-ui/react";
|
||||
import AppShell from "~/components/nav/AppShell";
|
||||
import { RiDatabase2Line } from "react-icons/ri";
|
||||
import {
|
||||
DatasetCard,
|
||||
DatasetCardSkeleton,
|
||||
NewDatasetCard,
|
||||
} from "~/components/datasets/DatasetCard";
|
||||
import PageHeaderContainer from "~/components/nav/PageHeaderContainer";
|
||||
import ProjectBreadcrumbContents from "~/components/nav/ProjectBreadcrumbContents";
|
||||
import { useDatasets } from "~/utils/hooks";
|
||||
|
||||
export default function DatasetsPage() {
|
||||
const datasets = useDatasets();
|
||||
|
||||
return (
|
||||
<AppShell title="Data" requireAuth>
|
||||
<PageHeaderContainer>
|
||||
<Breadcrumb>
|
||||
<BreadcrumbItem>
|
||||
<ProjectBreadcrumbContents />
|
||||
</BreadcrumbItem>
|
||||
<BreadcrumbItem minH={8}>
|
||||
<Flex alignItems="center">
|
||||
<Icon as={RiDatabase2Line} boxSize={4} mr={2} /> Datasets
|
||||
</Flex>
|
||||
</BreadcrumbItem>
|
||||
</Breadcrumb>
|
||||
</PageHeaderContainer>
|
||||
<SimpleGrid w="full" columns={{ base: 1, md: 2, lg: 3, xl: 4 }} spacing={8} py={4} px={8}>
|
||||
<NewDatasetCard />
|
||||
{datasets.data && !datasets.isLoading ? (
|
||||
datasets?.data?.map((dataset) => (
|
||||
<DatasetCard
|
||||
key={dataset.id}
|
||||
dataset={{ ...dataset, numEntries: dataset._count.datasetEntries }}
|
||||
/>
|
||||
))
|
||||
) : (
|
||||
<>
|
||||
<DatasetCardSkeleton />
|
||||
<DatasetCardSkeleton />
|
||||
<DatasetCardSkeleton />
|
||||
</>
|
||||
)}
|
||||
</SimpleGrid>
|
||||
</AppShell>
|
||||
);
|
||||
}
|
||||
@@ -1,18 +0,0 @@
|
||||
import { Text, VStack, Divider } from "@chakra-ui/react";
|
||||
import FineTunesTable from "~/components/fineTunes/FineTunesTable";
|
||||
|
||||
import AppShell from "~/components/nav/AppShell";
|
||||
|
||||
export default function FineTunes() {
|
||||
return (
|
||||
<AppShell title="Fine Tunes" requireAuth requireBeta>
|
||||
<VStack px={8} py={8} alignItems="flex-start" spacing={4} w="full">
|
||||
<Text fontSize="2xl" fontWeight="bold">
|
||||
Fine Tunes
|
||||
</Text>
|
||||
<Divider />
|
||||
<FineTunesTable />
|
||||
</VStack>
|
||||
</AppShell>
|
||||
);
|
||||
}
|
||||
@@ -1,5 +1,5 @@
|
||||
import { useState } from "react";
|
||||
import { Text, VStack, Divider, HStack, Box } from "@chakra-ui/react";
|
||||
import { Text, VStack, Divider, HStack } from "@chakra-ui/react";
|
||||
|
||||
import AppShell from "~/components/nav/AppShell";
|
||||
import LoggedCallTable from "~/components/requestLogs/LoggedCallsTable";
|
||||
@@ -9,8 +9,6 @@ import { useAppStore } from "~/state/store";
|
||||
import { RiFlaskLine } from "react-icons/ri";
|
||||
import { FiFilter } from "react-icons/fi";
|
||||
import LogFilters from "~/components/requestLogs/LogFilters/LogFilters";
|
||||
import ColumnVisiblityDropdown from "~/components/requestLogs/ColumnVisiblityDropdown";
|
||||
import FineTuneButton from "~/components/requestLogs/FineTuneButton";
|
||||
|
||||
export default function LoggedCalls() {
|
||||
const selectedLogIds = useAppStore((s) => s.selectedLogs.selectedLogIds);
|
||||
@@ -18,15 +16,20 @@ export default function LoggedCalls() {
|
||||
const [filtersShown, setFiltersShown] = useState(true);
|
||||
|
||||
return (
|
||||
<AppShell title="Request Logs" requireAuth requireBeta>
|
||||
<Box h="100vh" overflowY="scroll">
|
||||
<AppShell title="Request Logs" requireAuth>
|
||||
<VStack px={8} py={8} alignItems="flex-start" spacing={4} w="full">
|
||||
<Text fontSize="2xl" fontWeight="bold">
|
||||
Request Logs
|
||||
</Text>
|
||||
<Divider />
|
||||
<HStack w="full" justifyContent="flex-end">
|
||||
<FineTuneButton />
|
||||
<ActionButton
|
||||
onClick={() => {
|
||||
setFiltersShown(!filtersShown);
|
||||
}}
|
||||
label={filtersShown ? "Hide Filters" : "Show Filters"}
|
||||
icon={FiFilter}
|
||||
/>
|
||||
<ActionButton
|
||||
onClick={() => {
|
||||
console.log("experimenting with these ids", selectedLogIds);
|
||||
@@ -35,20 +38,11 @@ export default function LoggedCalls() {
|
||||
icon={RiFlaskLine}
|
||||
isDisabled={selectedLogIds.size === 0}
|
||||
/>
|
||||
<ColumnVisiblityDropdown />
|
||||
<ActionButton
|
||||
onClick={() => {
|
||||
setFiltersShown(!filtersShown);
|
||||
}}
|
||||
label={filtersShown ? "Hide Filters" : "Show Filters"}
|
||||
icon={FiFilter}
|
||||
/>
|
||||
</HStack>
|
||||
{filtersShown && <LogFilters />}
|
||||
<LoggedCallTable />
|
||||
<LoggedCallsPaginator />
|
||||
</VStack>
|
||||
</Box>
|
||||
</AppShell>
|
||||
);
|
||||
}
|
||||
|
||||
108
app/src/server/api/autogenerate/autogenerateDatasetEntries.ts
Normal file
108
app/src/server/api/autogenerate/autogenerateDatasetEntries.ts
Normal file
@@ -0,0 +1,108 @@
|
||||
import { type ChatCompletion } from "openai/resources/chat";
|
||||
import { openai } from "../../utils/openai";
|
||||
import { isAxiosError } from "./utils";
|
||||
import { type APIResponse } from "openai/core";
|
||||
import { sleep } from "~/server/utils/sleep";
|
||||
|
||||
const MAX_AUTO_RETRIES = 50;
|
||||
const MIN_DELAY = 500; // milliseconds
|
||||
const MAX_DELAY = 15000; // milliseconds
|
||||
|
||||
function calculateDelay(numPreviousTries: number): number {
|
||||
const baseDelay = Math.min(MAX_DELAY, MIN_DELAY * Math.pow(2, numPreviousTries));
|
||||
const jitter = Math.random() * baseDelay;
|
||||
return baseDelay + jitter;
|
||||
}
|
||||
|
||||
const getCompletionWithBackoff = async (
|
||||
getCompletion: () => Promise<APIResponse<ChatCompletion>>,
|
||||
) => {
|
||||
let completion;
|
||||
let tries = 0;
|
||||
while (tries < MAX_AUTO_RETRIES) {
|
||||
try {
|
||||
completion = await getCompletion();
|
||||
break;
|
||||
} catch (e) {
|
||||
if (isAxiosError(e)) {
|
||||
console.error(e?.response?.data?.error?.message);
|
||||
} else {
|
||||
await sleep(calculateDelay(tries));
|
||||
console.error(e);
|
||||
}
|
||||
}
|
||||
tries++;
|
||||
}
|
||||
return completion;
|
||||
};
|
||||
// TODO: Add seeds to ensure batches don't contain duplicate data
|
||||
const MAX_BATCH_SIZE = 5;
|
||||
|
||||
export const autogenerateDatasetEntries = async (
|
||||
numToGenerate: number,
|
||||
inputDescription: string,
|
||||
outputDescription: string,
|
||||
): Promise<{ input: string; output: string }[]> => {
|
||||
const batchSizes = Array.from({ length: Math.ceil(numToGenerate / MAX_BATCH_SIZE) }, (_, i) =>
|
||||
i === Math.ceil(numToGenerate / MAX_BATCH_SIZE) - 1 && numToGenerate % MAX_BATCH_SIZE
|
||||
? numToGenerate % MAX_BATCH_SIZE
|
||||
: MAX_BATCH_SIZE,
|
||||
);
|
||||
|
||||
const getCompletion = (batchSize: number) =>
|
||||
openai.chat.completions.create({
|
||||
model: "gpt-4",
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `The user needs ${batchSize} rows of data, each with an input and an output.\n---\n The input should follow these requirements: ${inputDescription}\n---\n The output should follow these requirements: ${outputDescription}`,
|
||||
},
|
||||
],
|
||||
functions: [
|
||||
{
|
||||
name: "add_list_of_data",
|
||||
description: "Add a list of data to the database",
|
||||
parameters: {
|
||||
type: "object",
|
||||
properties: {
|
||||
rows: {
|
||||
type: "array",
|
||||
description: "The rows of data that match the description",
|
||||
items: {
|
||||
type: "object",
|
||||
properties: {
|
||||
input: {
|
||||
type: "string",
|
||||
description: "The input for this row",
|
||||
},
|
||||
output: {
|
||||
type: "string",
|
||||
description: "The output for this row",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
|
||||
function_call: { name: "add_list_of_data" },
|
||||
temperature: 0.5,
|
||||
});
|
||||
|
||||
const completionCallbacks = batchSizes.map((batchSize) =>
|
||||
getCompletionWithBackoff(() => getCompletion(batchSize)),
|
||||
);
|
||||
|
||||
const completions = await Promise.all(completionCallbacks);
|
||||
|
||||
const rows = completions.flatMap((completion) => {
|
||||
const parsed = JSON.parse(
|
||||
completion?.choices[0]?.message?.function_call?.arguments ?? "{rows: []}",
|
||||
) as { rows: { input: string; output: string }[] };
|
||||
return parsed.rows;
|
||||
});
|
||||
|
||||
return rows;
|
||||
};
|
||||
@@ -98,11 +98,6 @@ export const autogenerateScenarioValues = async (
|
||||
|
||||
function_call: { name: "add_scenario" },
|
||||
temperature: 0.5,
|
||||
openpipe: {
|
||||
tags: {
|
||||
prompt_id: "autogenerateScenarioValues",
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
const parsed = JSON.parse(
|
||||
|
||||
13
app/src/server/api/external/v1Api.router.ts
vendored
13
app/src/server/api/external/v1Api.router.ts
vendored
@@ -66,7 +66,7 @@ export const v1ApiRouter = createOpenApiRouter({
|
||||
|
||||
if (!existingResponse) return { respPayload: null };
|
||||
|
||||
const newCall = await prisma.loggedCall.create({
|
||||
await prisma.loggedCall.create({
|
||||
data: {
|
||||
projectId: ctx.key.projectId,
|
||||
requestedAt: new Date(input.requestedAt),
|
||||
@@ -75,7 +75,11 @@ export const v1ApiRouter = createOpenApiRouter({
|
||||
},
|
||||
});
|
||||
|
||||
await createTags(newCall.projectId, newCall.id, input.tags);
|
||||
await createTags(
|
||||
existingResponse.originalLoggedCall.projectId,
|
||||
existingResponse.originalLoggedCallId,
|
||||
input.tags,
|
||||
);
|
||||
return {
|
||||
respPayload: existingResponse.respPayload,
|
||||
};
|
||||
@@ -107,7 +111,7 @@ export const v1ApiRouter = createOpenApiRouter({
|
||||
.default({}),
|
||||
}),
|
||||
)
|
||||
.output(z.object({ status: z.union([z.literal("ok"), z.literal("error")]) }))
|
||||
.output(z.object({ status: z.literal("ok") }))
|
||||
.mutation(async ({ input, ctx }) => {
|
||||
const reqPayload = await reqValidator.spa(input.reqPayload);
|
||||
const respPayload = await respValidator.spa(input.respPayload);
|
||||
@@ -208,7 +212,6 @@ export const v1ApiRouter = createOpenApiRouter({
|
||||
createdAt: true,
|
||||
cacheHit: true,
|
||||
tags: true,
|
||||
id: true,
|
||||
modelResponse: {
|
||||
select: {
|
||||
id: true,
|
||||
@@ -234,7 +237,7 @@ async function createTags(projectId: string, loggedCallId: string, tags: Record<
|
||||
const tagsToCreate = Object.entries(tags).map(([name, value]) => ({
|
||||
projectId,
|
||||
loggedCallId,
|
||||
name: name.replaceAll(/[^a-zA-Z0-9_$.]/g, "_"),
|
||||
name: name.replaceAll(/[^a-zA-Z0-9_$]/g, "_"),
|
||||
value,
|
||||
}));
|
||||
await prisma.loggedCallTag.createMany({
|
||||
|
||||
@@ -6,10 +6,11 @@ import { scenarioVariantCellsRouter } from "./routers/scenarioVariantCells.route
|
||||
import { scenarioVarsRouter } from "./routers/scenarioVariables.router";
|
||||
import { evaluationsRouter } from "./routers/evaluations.router";
|
||||
import { worldChampsRouter } from "./routers/worldChamps.router";
|
||||
import { datasetsRouter } from "./routers/datasets.router";
|
||||
import { datasetEntries } from "./routers/datasetEntries.router";
|
||||
import { projectsRouter } from "./routers/projects.router";
|
||||
import { dashboardRouter } from "./routers/dashboard.router";
|
||||
import { loggedCallsRouter } from "./routers/loggedCalls.router";
|
||||
import { fineTunesRouter } from "./routers/fineTunes.router";
|
||||
import { usersRouter } from "./routers/users.router";
|
||||
import { adminJobsRouter } from "./routers/adminJobs.router";
|
||||
|
||||
@@ -26,10 +27,11 @@ export const appRouter = createTRPCRouter({
|
||||
scenarioVars: scenarioVarsRouter,
|
||||
evaluations: evaluationsRouter,
|
||||
worldChamps: worldChampsRouter,
|
||||
datasets: datasetsRouter,
|
||||
datasetEntries: datasetEntries,
|
||||
projects: projectsRouter,
|
||||
dashboard: dashboardRouter,
|
||||
loggedCalls: loggedCallsRouter,
|
||||
fineTunes: fineTunesRouter,
|
||||
users: usersRouter,
|
||||
adminJobs: adminJobsRouter,
|
||||
});
|
||||
|
||||
145
app/src/server/api/routers/datasetEntries.router.ts
Normal file
145
app/src/server/api/routers/datasetEntries.router.ts
Normal file
@@ -0,0 +1,145 @@
|
||||
import { z } from "zod";
|
||||
import { createTRPCRouter, protectedProcedure } from "~/server/api/trpc";
|
||||
import { prisma } from "~/server/db";
|
||||
import { requireCanModifyDataset, requireCanViewDataset } from "~/utils/accessControl";
|
||||
import { autogenerateDatasetEntries } from "../autogenerate/autogenerateDatasetEntries";
|
||||
|
||||
export const datasetEntries = createTRPCRouter({
|
||||
list: protectedProcedure
|
||||
.input(z.object({ datasetId: z.string(), page: z.number(), pageSize: z.number() }))
|
||||
.query(async ({ input, ctx }) => {
|
||||
await requireCanViewDataset(input.datasetId, ctx);
|
||||
|
||||
const { datasetId, page, pageSize } = input;
|
||||
|
||||
const entries = await prisma.datasetEntry.findMany({
|
||||
where: {
|
||||
datasetId,
|
||||
},
|
||||
orderBy: { createdAt: "desc" },
|
||||
skip: (page - 1) * pageSize,
|
||||
take: pageSize,
|
||||
});
|
||||
|
||||
const count = await prisma.datasetEntry.count({
|
||||
where: {
|
||||
datasetId,
|
||||
},
|
||||
});
|
||||
|
||||
return {
|
||||
entries,
|
||||
count,
|
||||
};
|
||||
}),
|
||||
createOne: protectedProcedure
|
||||
.input(
|
||||
z.object({
|
||||
datasetId: z.string(),
|
||||
input: z.string(),
|
||||
output: z.string().optional(),
|
||||
}),
|
||||
)
|
||||
.mutation(async ({ input, ctx }) => {
|
||||
await requireCanModifyDataset(input.datasetId, ctx);
|
||||
|
||||
return await prisma.datasetEntry.create({
|
||||
data: {
|
||||
datasetId: input.datasetId,
|
||||
input: input.input,
|
||||
output: input.output,
|
||||
},
|
||||
});
|
||||
}),
|
||||
|
||||
autogenerateEntries: protectedProcedure
|
||||
.input(
|
||||
z.object({
|
||||
datasetId: z.string(),
|
||||
numToGenerate: z.number(),
|
||||
inputDescription: z.string(),
|
||||
outputDescription: z.string(),
|
||||
}),
|
||||
)
|
||||
.mutation(async ({ input, ctx }) => {
|
||||
await requireCanModifyDataset(input.datasetId, ctx);
|
||||
|
||||
const dataset = await prisma.dataset.findUnique({
|
||||
where: {
|
||||
id: input.datasetId,
|
||||
},
|
||||
});
|
||||
|
||||
if (!dataset) {
|
||||
throw new Error(`Dataset with id ${input.datasetId} does not exist`);
|
||||
}
|
||||
|
||||
const entries = await autogenerateDatasetEntries(
|
||||
input.numToGenerate,
|
||||
input.inputDescription,
|
||||
input.outputDescription,
|
||||
);
|
||||
|
||||
const createdEntries = await prisma.datasetEntry.createMany({
|
||||
data: entries.map((entry) => ({
|
||||
datasetId: input.datasetId,
|
||||
input: entry.input,
|
||||
output: entry.output,
|
||||
})),
|
||||
});
|
||||
|
||||
return createdEntries;
|
||||
}),
|
||||
|
||||
delete: protectedProcedure
|
||||
.input(z.object({ id: z.string() }))
|
||||
.mutation(async ({ input, ctx }) => {
|
||||
const datasetId = (
|
||||
await prisma.datasetEntry.findUniqueOrThrow({
|
||||
where: { id: input.id },
|
||||
})
|
||||
).datasetId;
|
||||
|
||||
await requireCanModifyDataset(datasetId, ctx);
|
||||
|
||||
return await prisma.datasetEntry.delete({
|
||||
where: {
|
||||
id: input.id,
|
||||
},
|
||||
});
|
||||
}),
|
||||
|
||||
update: protectedProcedure
|
||||
.input(
|
||||
z.object({
|
||||
id: z.string(),
|
||||
updates: z.object({
|
||||
input: z.string(),
|
||||
output: z.string().optional(),
|
||||
}),
|
||||
}),
|
||||
)
|
||||
.mutation(async ({ input, ctx }) => {
|
||||
const existing = await prisma.datasetEntry.findUnique({
|
||||
where: {
|
||||
id: input.id,
|
||||
},
|
||||
});
|
||||
|
||||
if (!existing) {
|
||||
throw new Error(`dataEntry with id ${input.id} does not exist`);
|
||||
}
|
||||
|
||||
await requireCanModifyDataset(existing.datasetId, ctx);
|
||||
|
||||
return await prisma.datasetEntry.update({
|
||||
where: {
|
||||
id: input.id,
|
||||
},
|
||||
data: {
|
||||
input: input.updates.input,
|
||||
output: input.updates.output,
|
||||
},
|
||||
});
|
||||
}),
|
||||
});
|
||||
88
app/src/server/api/routers/datasets.router.ts
Normal file
88
app/src/server/api/routers/datasets.router.ts
Normal file
@@ -0,0 +1,88 @@
|
||||
import { z } from "zod";
|
||||
import { createTRPCRouter, protectedProcedure, publicProcedure } from "~/server/api/trpc";
|
||||
import { prisma } from "~/server/db";
|
||||
import {
|
||||
requireCanModifyDataset,
|
||||
requireCanModifyProject,
|
||||
requireCanViewDataset,
|
||||
requireCanViewProject,
|
||||
} from "~/utils/accessControl";
|
||||
|
||||
export const datasetsRouter = createTRPCRouter({
|
||||
list: protectedProcedure
|
||||
.input(z.object({ projectId: z.string() }))
|
||||
.query(async ({ input, ctx }) => {
|
||||
await requireCanViewProject(input.projectId, ctx);
|
||||
|
||||
const datasets = await prisma.dataset.findMany({
|
||||
where: {
|
||||
projectId: input.projectId,
|
||||
},
|
||||
orderBy: {
|
||||
createdAt: "desc",
|
||||
},
|
||||
include: {
|
||||
_count: {
|
||||
select: { datasetEntries: true },
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
return datasets;
|
||||
}),
|
||||
|
||||
get: publicProcedure.input(z.object({ id: z.string() })).query(async ({ input, ctx }) => {
|
||||
await requireCanViewDataset(input.id, ctx);
|
||||
return await prisma.dataset.findFirstOrThrow({
|
||||
where: { id: input.id },
|
||||
include: {
|
||||
project: true,
|
||||
},
|
||||
});
|
||||
}),
|
||||
|
||||
create: protectedProcedure
|
||||
.input(z.object({ projectId: z.string() }))
|
||||
.mutation(async ({ input, ctx }) => {
|
||||
await requireCanModifyProject(input.projectId, ctx);
|
||||
|
||||
const numDatasets = await prisma.dataset.count({
|
||||
where: {
|
||||
projectId: input.projectId,
|
||||
},
|
||||
});
|
||||
|
||||
return await prisma.dataset.create({
|
||||
data: {
|
||||
name: `Dataset ${numDatasets + 1}`,
|
||||
projectId: input.projectId,
|
||||
},
|
||||
});
|
||||
}),
|
||||
|
||||
update: protectedProcedure
|
||||
.input(z.object({ id: z.string(), updates: z.object({ name: z.string() }) }))
|
||||
.mutation(async ({ input, ctx }) => {
|
||||
await requireCanModifyDataset(input.id, ctx);
|
||||
return await prisma.dataset.update({
|
||||
where: {
|
||||
id: input.id,
|
||||
},
|
||||
data: {
|
||||
name: input.updates.name,
|
||||
},
|
||||
});
|
||||
}),
|
||||
|
||||
delete: protectedProcedure
|
||||
.input(z.object({ id: z.string() }))
|
||||
.mutation(async ({ input, ctx }) => {
|
||||
await requireCanModifyDataset(input.id, ctx);
|
||||
|
||||
await prisma.dataset.delete({
|
||||
where: {
|
||||
id: input.id,
|
||||
},
|
||||
});
|
||||
}),
|
||||
});
|
||||
@@ -178,7 +178,6 @@ export const experimentsRouter = createTRPCRouter({
|
||||
existingToNewVariantIds.set(variant.id, newVariantId);
|
||||
variantsToCreate.push({
|
||||
...variant,
|
||||
uiId: uuidv4(),
|
||||
id: newVariantId,
|
||||
experimentId: newExperimentId,
|
||||
});
|
||||
@@ -192,7 +191,6 @@ export const experimentsRouter = createTRPCRouter({
|
||||
scenariosToCreate.push({
|
||||
...scenario,
|
||||
id: newScenarioId,
|
||||
uiId: uuidv4(),
|
||||
experimentId: newExperimentId,
|
||||
variableValues: scenario.variableValues as Prisma.InputJsonValue,
|
||||
});
|
||||
|
||||
@@ -1,113 +0,0 @@
|
||||
import { z } from "zod";
|
||||
import { v4 as uuidv4 } from "uuid";
|
||||
import { type Prisma } from "@prisma/client";
|
||||
|
||||
import { createTRPCRouter, protectedProcedure } from "~/server/api/trpc";
|
||||
import { prisma } from "~/server/db";
|
||||
import { requireCanViewProject, requireCanModifyProject } from "~/utils/accessControl";
|
||||
import { error, success } from "~/utils/errorHandling/standardResponses";
|
||||
|
||||
export const fineTunesRouter = createTRPCRouter({
|
||||
list: protectedProcedure
|
||||
.input(
|
||||
z.object({
|
||||
projectId: z.string(),
|
||||
page: z.number(),
|
||||
pageSize: z.number(),
|
||||
}),
|
||||
)
|
||||
.query(async ({ input, ctx }) => {
|
||||
const { projectId, page, pageSize } = input;
|
||||
|
||||
await requireCanViewProject(projectId, ctx);
|
||||
|
||||
const fineTunes = await prisma.fineTune.findMany({
|
||||
where: {
|
||||
projectId,
|
||||
},
|
||||
include: {
|
||||
dataset: {
|
||||
include: {
|
||||
_count: {
|
||||
select: {
|
||||
datasetEntries: true,
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
orderBy: { createdAt: "asc" },
|
||||
skip: (page - 1) * pageSize,
|
||||
take: pageSize,
|
||||
});
|
||||
|
||||
const count = await prisma.fineTune.count({
|
||||
where: {
|
||||
projectId,
|
||||
},
|
||||
});
|
||||
|
||||
return {
|
||||
fineTunes,
|
||||
count,
|
||||
};
|
||||
}),
|
||||
create: protectedProcedure
|
||||
.input(
|
||||
z.object({
|
||||
projectId: z.string(),
|
||||
selectedLogIds: z.array(z.string()),
|
||||
slug: z.string(),
|
||||
baseModel: z.string(),
|
||||
}),
|
||||
)
|
||||
.mutation(async ({ input, ctx }) => {
|
||||
await requireCanModifyProject(input.projectId, ctx);
|
||||
|
||||
const existingFineTune = await prisma.fineTune.findFirst({
|
||||
where: {
|
||||
slug: input.slug,
|
||||
},
|
||||
});
|
||||
|
||||
if (existingFineTune) {
|
||||
return error("A fine tune with that slug already exists");
|
||||
}
|
||||
|
||||
const newDatasetId = uuidv4();
|
||||
|
||||
const datasetEntriesToCreate: Prisma.DatasetEntryCreateManyDatasetInput[] =
|
||||
input.selectedLogIds.map((loggedCallId) => ({
|
||||
loggedCallId,
|
||||
}));
|
||||
|
||||
await prisma.$transaction([
|
||||
prisma.dataset.create({
|
||||
data: {
|
||||
id: newDatasetId,
|
||||
name: input.slug,
|
||||
project: {
|
||||
connect: {
|
||||
id: input.projectId,
|
||||
},
|
||||
},
|
||||
datasetEntries: {
|
||||
createMany: {
|
||||
data: datasetEntriesToCreate,
|
||||
},
|
||||
},
|
||||
},
|
||||
}),
|
||||
prisma.fineTune.create({
|
||||
data: {
|
||||
projectId: input.projectId,
|
||||
slug: input.slug,
|
||||
baseModel: input.baseModel,
|
||||
datasetId: newDatasetId,
|
||||
},
|
||||
}),
|
||||
]);
|
||||
|
||||
return success();
|
||||
}),
|
||||
});
|
||||
@@ -61,7 +61,7 @@ export const scenarioVariantCellsRouter = createTRPCRouter({
|
||||
evalsComplete,
|
||||
};
|
||||
}),
|
||||
hardRefetch: protectedProcedure
|
||||
forceRefetch: protectedProcedure
|
||||
.input(
|
||||
z.object({
|
||||
scenarioId: z.string(),
|
||||
@@ -85,10 +85,7 @@ export const scenarioVariantCellsRouter = createTRPCRouter({
|
||||
});
|
||||
|
||||
if (!cell) {
|
||||
await generateNewCell(input.variantId, input.scenarioId, {
|
||||
stream: true,
|
||||
hardRefetch: true,
|
||||
});
|
||||
await generateNewCell(input.variantId, input.scenarioId, { stream: true });
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -99,7 +96,7 @@ export const scenarioVariantCellsRouter = createTRPCRouter({
|
||||
},
|
||||
});
|
||||
|
||||
await queueQueryModel(cell.id, { stream: true, hardRefetch: true });
|
||||
await queueQueryModel(cell.id, true);
|
||||
}),
|
||||
getTemplatedPromptMessage: publicProcedure
|
||||
.input(
|
||||
|
||||
19
app/src/server/scripts/openai-test.ts
Normal file
19
app/src/server/scripts/openai-test.ts
Normal file
@@ -0,0 +1,19 @@
|
||||
import "dotenv/config";
|
||||
import { openai } from "../utils/openai";
|
||||
|
||||
const resp = await openai.chat.completions.create({
|
||||
model: "gpt-3.5-turbo-0613",
|
||||
stream: true,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: "count to 20",
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
for await (const part of resp) {
|
||||
console.log("part", part);
|
||||
}
|
||||
|
||||
console.log("final resp", resp);
|
||||
@@ -1,4 +1,4 @@
|
||||
import { type Helpers, type Task, makeWorkerUtils, TaskSpec } from "graphile-worker";
|
||||
import { type Helpers, type Task, makeWorkerUtils } from "graphile-worker";
|
||||
import { env } from "~/env.mjs";
|
||||
|
||||
let workerUtilsPromise: ReturnType<typeof makeWorkerUtils> | null = null;
|
||||
@@ -16,11 +16,9 @@ function defineTask<TPayload>(
|
||||
taskIdentifier: string,
|
||||
taskHandler: (payload: TPayload, helpers: Helpers) => Promise<void>,
|
||||
) {
|
||||
const enqueue = async (payload: TPayload, spec?: TaskSpec) => {
|
||||
const enqueue = async (payload: TPayload, runAt?: Date) => {
|
||||
console.log("Enqueuing task", taskIdentifier, payload);
|
||||
|
||||
const utils = await workerUtils();
|
||||
return await utils.addJob(taskIdentifier, payload, spec);
|
||||
await (await workerUtils()).addJob(taskIdentifier, payload, { runAt });
|
||||
};
|
||||
|
||||
const handler = (payload: TPayload, helpers: Helpers) => {
|
||||
|
||||
@@ -25,6 +25,7 @@ function calculateDelay(numPreviousTries: number): number {
|
||||
}
|
||||
|
||||
export const queryModel = defineTask<QueryModelJob>("queryModel", async (task) => {
|
||||
console.log("RUNNING TASK", task);
|
||||
const { cellId, stream, numPreviousTries } = task;
|
||||
const cell = await prisma.scenarioVariantCell.findUnique({
|
||||
where: { id: cellId },
|
||||
@@ -152,7 +153,7 @@ export const queryModel = defineTask<QueryModelJob>("queryModel", async (task) =
|
||||
stream,
|
||||
numPreviousTries: numPreviousTries + 1,
|
||||
},
|
||||
{ runAt: retryTime, jobKey: cellId, priority: 3 },
|
||||
retryTime,
|
||||
);
|
||||
await prisma.scenarioVariantCell.update({
|
||||
where: { id: cellId },
|
||||
@@ -171,13 +172,7 @@ export const queryModel = defineTask<QueryModelJob>("queryModel", async (task) =
|
||||
}
|
||||
});
|
||||
|
||||
export const queueQueryModel = async (
|
||||
cellId: string,
|
||||
options: { stream?: boolean; hardRefetch?: boolean } = {},
|
||||
) => {
|
||||
// Hard refetches are higher priority than streamed queries, which are higher priority than non-streamed queries.
|
||||
const jobPriority = options.hardRefetch ? 0 : options.stream ? 1 : 2;
|
||||
|
||||
export const queueQueryModel = async (cellId: string, stream: boolean) => {
|
||||
await Promise.all([
|
||||
prisma.scenarioVariantCell.update({
|
||||
where: {
|
||||
@@ -189,13 +184,6 @@ export const queueQueryModel = async (
|
||||
jobQueuedAt: new Date(),
|
||||
},
|
||||
}),
|
||||
|
||||
queryModel.enqueue(
|
||||
{ cellId, stream: options.stream ?? false, numPreviousTries: 0 },
|
||||
|
||||
// Streamed queries are higher priority than non-streamed queries. Lower
|
||||
// numbers are higher priority in graphile-worker.
|
||||
{ jobKey: cellId, priority: jobPriority },
|
||||
),
|
||||
queryModel.enqueue({ cellId, stream, numPreviousTries: 0 }),
|
||||
]);
|
||||
};
|
||||
|
||||
@@ -13,6 +13,5 @@ export const runNewEval = defineTask<RunNewEvalJob>("runNewEval", async (task) =
|
||||
});
|
||||
|
||||
export const queueRunNewEval = async (experimentId: string) => {
|
||||
// Evals are lower priority than completions
|
||||
await runNewEval.enqueue({ experimentId }, { priority: 4 });
|
||||
await runNewEval.enqueue({ experimentId });
|
||||
};
|
||||
|
||||
@@ -1,47 +0,0 @@
|
||||
import "dotenv/config";
|
||||
|
||||
import defineTask from "./defineTask";
|
||||
import { type TaskList, run } from "graphile-worker";
|
||||
import { env } from "~/env.mjs";
|
||||
|
||||
import "../../../sentry.server.config";
|
||||
|
||||
export type TestTask = { i: number };
|
||||
|
||||
// When a new eval is created, we want to run it on all existing outputs, but return the new eval first
|
||||
export const testTask = defineTask<TestTask>("testTask", (task) => {
|
||||
console.log("ran task ", task.i);
|
||||
|
||||
void new Promise((_resolve, reject) => setTimeout(reject, 500));
|
||||
return Promise.resolve();
|
||||
});
|
||||
|
||||
const registeredTasks = [testTask];
|
||||
|
||||
const taskList = registeredTasks.reduce((acc, task) => {
|
||||
acc[task.task.identifier] = task.task.handler;
|
||||
return acc;
|
||||
}, {} as TaskList);
|
||||
|
||||
// process.on("unhandledRejection", (reason, promise) => {
|
||||
// console.log("Unhandled Rejection at:", reason?.stack || reason);
|
||||
// });
|
||||
|
||||
// Run a worker to execute jobs:
|
||||
const runner = await run({
|
||||
connectionString: env.DATABASE_URL,
|
||||
concurrency: 10,
|
||||
// Install signal handlers for graceful shutdown on SIGINT, SIGTERM, etc
|
||||
noHandleSignals: false,
|
||||
pollInterval: 1000,
|
||||
taskList,
|
||||
});
|
||||
|
||||
console.log("Worker successfully started");
|
||||
|
||||
for (let i = 0; i < 10; i++) {
|
||||
await testTask.enqueue({ i });
|
||||
await new Promise((resolve) => setTimeout(resolve, 1000));
|
||||
}
|
||||
|
||||
await runner.promise;
|
||||
@@ -1,6 +1,5 @@
|
||||
import { type TaskList, run } from "graphile-worker";
|
||||
import "dotenv/config";
|
||||
import "../../../sentry.server.config";
|
||||
|
||||
import { env } from "~/env.mjs";
|
||||
import { queryModel } from "./queryModel.task";
|
||||
@@ -18,8 +17,7 @@ const taskList = registeredTasks.reduce((acc, task) => {
|
||||
// Run a worker to execute jobs:
|
||||
const runner = await run({
|
||||
connectionString: env.DATABASE_URL,
|
||||
concurrency: env.WORKER_CONCURRENCY,
|
||||
maxPoolSize: env.WORKER_MAX_POOL_SIZE,
|
||||
concurrency: 10,
|
||||
// Install signal handlers for graceful shutdown on SIGINT, SIGTERM, etc
|
||||
noHandleSignals: false,
|
||||
pollInterval: 1000,
|
||||
|
||||
@@ -41,7 +41,7 @@ const requestUpdatedPromptFunction = async (
|
||||
) => {
|
||||
const originalModelProvider = modelProviders[originalVariant.modelProvider as SupportedProvider];
|
||||
const originalModel = originalModelProvider.models[originalVariant.model] as Model;
|
||||
let newConstructionFn = "";
|
||||
let newContructionFn = "";
|
||||
for (let i = 0; i < NUM_RETRIES; i++) {
|
||||
try {
|
||||
const messages: CreateChatCompletionRequestMessage[] = [
|
||||
@@ -109,12 +109,6 @@ const requestUpdatedPromptFunction = async (
|
||||
function_call: {
|
||||
name: "update_prompt_constructor_function",
|
||||
},
|
||||
openpipe: {
|
||||
tags: {
|
||||
prompt_id: "deriveNewConstructFn",
|
||||
model_translation: (!!newModel).toString(),
|
||||
},
|
||||
},
|
||||
});
|
||||
const argString = completion.choices[0]?.message?.function_call?.arguments || "{}";
|
||||
|
||||
@@ -137,7 +131,7 @@ const requestUpdatedPromptFunction = async (
|
||||
const args = await contructPromptFunctionArgs.copy(); // Get the actual value from the isolate
|
||||
|
||||
if (args && isObject(args) && "new_prompt_function" in args) {
|
||||
newConstructionFn = await formatPromptConstructor(args.new_prompt_function as string);
|
||||
newContructionFn = await formatPromptConstructor(args.new_prompt_function as string);
|
||||
break;
|
||||
}
|
||||
} catch (e) {
|
||||
@@ -145,5 +139,5 @@ const requestUpdatedPromptFunction = async (
|
||||
}
|
||||
}
|
||||
|
||||
return newConstructionFn;
|
||||
return newContructionFn;
|
||||
};
|
||||
|
||||
@@ -9,8 +9,10 @@ import parsePromptConstructor from "~/promptConstructor/parse";
|
||||
export const generateNewCell = async (
|
||||
variantId: string,
|
||||
scenarioId: string,
|
||||
options: { stream?: boolean; hardRefetch?: boolean } = {},
|
||||
options?: { stream?: boolean },
|
||||
): Promise<void> => {
|
||||
const stream = options?.stream ?? false;
|
||||
|
||||
const variant = await prisma.promptVariant.findUnique({
|
||||
where: {
|
||||
id: variantId,
|
||||
@@ -119,6 +121,6 @@ export const generateNewCell = async (
|
||||
}),
|
||||
);
|
||||
} else {
|
||||
await queueQueryModel(cell.id, options);
|
||||
await queueQueryModel(cell.id, stream);
|
||||
}
|
||||
};
|
||||
|
||||
@@ -27,4 +27,3 @@ try {
|
||||
// export const openai = env.OPENPIPE_API_KEY ? new OpenAI.OpenAI(config) : new OriginalOpenAI(config);
|
||||
|
||||
export const openai = new OpenAI(config);
|
||||
`
|
||||
@@ -53,11 +53,6 @@ export const runGpt4Eval = async (
|
||||
},
|
||||
},
|
||||
],
|
||||
openpipe: {
|
||||
tags: {
|
||||
prompt_id: "runOneEval",
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
try {
|
||||
|
||||
@@ -1,37 +0,0 @@
|
||||
import { type SliceCreator } from "./store";
|
||||
|
||||
export const comparators = ["=", "!=", "CONTAINS", "NOT_CONTAINS"] as const;
|
||||
|
||||
export const defaultFilterableFields = ["Request", "Response", "Model", "Status Code"] as const;
|
||||
|
||||
export enum StaticColumnKeys {
|
||||
SENT_AT = "sentAt",
|
||||
MODEL = "model",
|
||||
DURATION = "duration",
|
||||
INPUT_TOKENS = "inputTokens",
|
||||
OUTPUT_TOKENS = "outputTokens",
|
||||
STATUS_CODE = "statusCode",
|
||||
}
|
||||
|
||||
export type ColumnVisibilitySlice = {
|
||||
visibleColumns: Set<string>;
|
||||
toggleColumnVisibility: (columnKey: string) => void;
|
||||
showAllColumns: (columnKeys: string[]) => void;
|
||||
};
|
||||
|
||||
export const createColumnVisibilitySlice: SliceCreator<ColumnVisibilitySlice> = (set, get) => ({
|
||||
// initialize with all static columns visible
|
||||
visibleColumns: new Set(Object.values(StaticColumnKeys)),
|
||||
toggleColumnVisibility: (columnKey: string) =>
|
||||
set((state) => {
|
||||
if (state.columnVisibility.visibleColumns.has(columnKey)) {
|
||||
state.columnVisibility.visibleColumns.delete(columnKey);
|
||||
} else {
|
||||
state.columnVisibility.visibleColumns.add(columnKey);
|
||||
}
|
||||
}),
|
||||
showAllColumns: (columnKeys: string[]) =>
|
||||
set((state) => {
|
||||
state.columnVisibility.visibleColumns = new Set(columnKeys);
|
||||
}),
|
||||
});
|
||||
@@ -1,27 +1,13 @@
|
||||
import { type PersistOptions } from "zustand/middleware/persist";
|
||||
import { type State } from "./store";
|
||||
import SuperJSON from "superjson";
|
||||
import { merge, pick } from "lodash-es";
|
||||
import { type PartialDeep } from "type-fest";
|
||||
|
||||
export type PersistedState = PartialDeep<State>;
|
||||
export const stateToPersist = {
|
||||
selectedProjectId: null as string | null,
|
||||
};
|
||||
|
||||
export const persistOptions: PersistOptions<State, PersistedState> = {
|
||||
export const persistOptions: PersistOptions<State, typeof stateToPersist> = {
|
||||
name: "persisted-app-store",
|
||||
partialize: (state) => ({
|
||||
selectedProjectId: state.selectedProjectId,
|
||||
columnVisibility: pick(state.columnVisibility, ["visibleColumns"]),
|
||||
}),
|
||||
merge: (saved, state) => merge(state, saved),
|
||||
storage: {
|
||||
getItem: (key) => {
|
||||
const data = localStorage.getItem(key);
|
||||
return data ? SuperJSON.parse(data) : null;
|
||||
},
|
||||
setItem: (key, value) => localStorage.setItem(key, SuperJSON.stringify(value)),
|
||||
removeItem: (key) => localStorage.removeItem(key),
|
||||
},
|
||||
onRehydrateStorage: (state) => {
|
||||
if (state) state.isRehydrated = true;
|
||||
},
|
||||
};
|
||||
|
||||
@@ -8,15 +8,13 @@ import {
|
||||
createVariantEditorSlice,
|
||||
} from "./sharedVariantEditor.slice";
|
||||
import { type APIClient } from "~/utils/api";
|
||||
import { type PersistedState, persistOptions } from "./persist";
|
||||
import { persistOptions, type stateToPersist } from "./persist";
|
||||
import { type SelectedLogsSlice, createSelectedLogsSlice } from "./selectedLogsSlice";
|
||||
import { type LogFiltersSlice, createLogFiltersSlice } from "./logFiltersSlice";
|
||||
import { createColumnVisibilitySlice, type ColumnVisibilitySlice } from "./columnVisiblitySlice";
|
||||
|
||||
enableMapSet();
|
||||
|
||||
export type State = {
|
||||
isRehydrated: boolean;
|
||||
drawerOpen: boolean;
|
||||
openDrawer: () => void;
|
||||
closeDrawer: () => void;
|
||||
@@ -27,7 +25,6 @@ export type State = {
|
||||
setSelectedProjectId: (id: string) => void;
|
||||
selectedLogs: SelectedLogsSlice;
|
||||
logFilters: LogFiltersSlice;
|
||||
columnVisibility: ColumnVisibilitySlice;
|
||||
};
|
||||
|
||||
export type SliceCreator<T> = StateCreator<State, [["zustand/immer", never]], [], T>;
|
||||
@@ -35,15 +32,18 @@ export type SliceCreator<T> = StateCreator<State, [["zustand/immer", never]], []
|
||||
export type SetFn = Parameters<SliceCreator<unknown>>[0];
|
||||
export type GetFn = Parameters<SliceCreator<unknown>>[1];
|
||||
|
||||
const useBaseStore = create<State, [["zustand/persist", PersistedState], ["zustand/immer", never]]>(
|
||||
const useBaseStore = create<
|
||||
State,
|
||||
[["zustand/persist", typeof stateToPersist], ["zustand/immer", never]]
|
||||
>(
|
||||
persist(
|
||||
immer((set, get, ...rest) => ({
|
||||
isRehydrated: false,
|
||||
api: null,
|
||||
setApi: (api) =>
|
||||
set((state) => {
|
||||
state.api = api;
|
||||
}),
|
||||
|
||||
drawerOpen: false,
|
||||
openDrawer: () =>
|
||||
set((state) => {
|
||||
@@ -61,7 +61,6 @@ const useBaseStore = create<State, [["zustand/persist", PersistedState], ["zusta
|
||||
}),
|
||||
selectedLogs: createSelectedLogsSlice(set, get, ...rest),
|
||||
logFilters: createLogFiltersSlice(set, get, ...rest),
|
||||
columnVisibility: createColumnVisibilitySlice(set, get, ...rest),
|
||||
})),
|
||||
persistOptions,
|
||||
),
|
||||
|
||||
@@ -78,6 +78,33 @@ export const requireCanModifyProject = async (projectId: string, ctx: TRPCContex
|
||||
}
|
||||
};
|
||||
|
||||
export const requireCanViewDataset = async (datasetId: string, ctx: TRPCContext) => {
|
||||
ctx.markAccessControlRun();
|
||||
|
||||
const dataset = await prisma.dataset.findFirst({
|
||||
where: {
|
||||
id: datasetId,
|
||||
project: {
|
||||
projectUsers: {
|
||||
some: {
|
||||
role: { in: [ProjectUserRole.ADMIN, ProjectUserRole.MEMBER] },
|
||||
userId: ctx.session?.user.id,
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
if (!dataset) {
|
||||
throw new TRPCError({ code: "UNAUTHORIZED" });
|
||||
}
|
||||
};
|
||||
|
||||
export const requireCanModifyDataset = async (datasetId: string, ctx: TRPCContext) => {
|
||||
// Right now all users who can view a dataset can also modify it
|
||||
await requireCanViewDataset(datasetId, ctx);
|
||||
};
|
||||
|
||||
export const requireCanViewExperiment = (experimentId: string, ctx: TRPCContext): Promise<void> => {
|
||||
// Right now all experiments are publicly viewable, so this is a no-op.
|
||||
ctx.markAccessControlRun();
|
||||
|
||||
@@ -26,6 +26,34 @@ export const useExperimentAccess = () => {
|
||||
return useExperiment().data?.access ?? { canView: false, canModify: false };
|
||||
};
|
||||
|
||||
export const useDatasets = () => {
|
||||
const selectedProjectId = useAppStore((state) => state.selectedProjectId);
|
||||
return api.datasets.list.useQuery(
|
||||
{ projectId: selectedProjectId ?? "" },
|
||||
{ enabled: !!selectedProjectId },
|
||||
);
|
||||
};
|
||||
|
||||
export const useDataset = () => {
|
||||
const router = useRouter();
|
||||
const dataset = api.datasets.get.useQuery(
|
||||
{ id: router.query.id as string },
|
||||
{ enabled: !!router.query.id },
|
||||
);
|
||||
|
||||
return dataset;
|
||||
};
|
||||
|
||||
export const useDatasetEntries = () => {
|
||||
const dataset = useDataset();
|
||||
const { page, pageSize } = usePageParams();
|
||||
|
||||
return api.datasetEntries.list.useQuery(
|
||||
{ datasetId: dataset.data?.id ?? "", page, pageSize },
|
||||
{ enabled: dataset.data?.id != null },
|
||||
);
|
||||
};
|
||||
|
||||
type AsyncFunction<T extends unknown[], U> = (...args: T) => Promise<U>;
|
||||
|
||||
export function useHandledAsyncCallback<T extends unknown[], U>(
|
||||
@@ -177,22 +205,3 @@ export const useTagNames = () => {
|
||||
{ enabled: !!selectedProjectId },
|
||||
);
|
||||
};
|
||||
|
||||
export const useFineTunes = () => {
|
||||
const selectedProjectId = useAppStore((state) => state.selectedProjectId);
|
||||
const { page, pageSize } = usePageParams();
|
||||
|
||||
return api.fineTunes.list.useQuery(
|
||||
{ projectId: selectedProjectId ?? "", page, pageSize },
|
||||
{ enabled: !!selectedProjectId },
|
||||
);
|
||||
};
|
||||
|
||||
export const useIsClientRehydrated = () => {
|
||||
const isRehydrated = useAppStore((state) => state.isRehydrated);
|
||||
const [isMounted, setIsMounted] = useState(false);
|
||||
useEffect(() => {
|
||||
setIsMounted(true);
|
||||
}, []);
|
||||
return isRehydrated && isMounted;
|
||||
};
|
||||
|
||||
9
app/test-docker.sh
Executable file
9
app/test-docker.sh
Executable file
@@ -0,0 +1,9 @@
|
||||
#! /bin/bash
|
||||
|
||||
set -e
|
||||
|
||||
cd "$(dirname "$0")/.."
|
||||
|
||||
source app/.env
|
||||
|
||||
docker build . --file app/Dockerfile
|
||||
@@ -141,20 +141,10 @@
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"status": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"ok"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"error"
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
|
||||
@@ -1,40 +0,0 @@
|
||||
# OpenPipe Python Client
|
||||
|
||||
This client allows you automatically report your OpenAI calls to [OpenPipe](https://openpipe.ai/). OpenPipe
|
||||
|
||||
## Installation
|
||||
`pip install openpipe`
|
||||
|
||||
## Usage
|
||||
|
||||
1. Create a project at https://app.openpipe.ai
|
||||
2. Find your project's API key at https://app.openpipe.ai/project/settings
|
||||
3. Configure the OpenPipe client as shown below.
|
||||
|
||||
```python
|
||||
from openpipe import openai, configure_openpipe
|
||||
import os
|
||||
|
||||
# Set the OpenPipe API key you got in step (3) above.
|
||||
# If you have the `OPENPIPE_API_KEY` environment variable set we'll read from it by default.
|
||||
configure_openpipe(api_key=os.getenv("OPENPIPE_API_KEY"))
|
||||
|
||||
# Configure OpenAI the same way you would normally
|
||||
openai.api_key = os.getenv("OPENAI_API_KEY")
|
||||
```
|
||||
|
||||
You can use the OpenPipe client for normal
|
||||
|
||||
## Special Features
|
||||
|
||||
### Tagging
|
||||
|
||||
OpenPipe has a concept of "tagging." This is very useful for grouping a certain set of completions together. When you're using a dataset for fine-tuning, you can select all the prompts that match a certain set of tags. Here's how you can use the tagging feature:
|
||||
|
||||
```python
|
||||
completion = openai.ChatCompletion.create(
|
||||
model="gpt-3.5-turbo",
|
||||
messages=[{"role": "system", "content": "count to 10"}],
|
||||
openpipe={"tags": {"prompt_id": "counting"}},
|
||||
)
|
||||
```
|
||||
@@ -1,202 +0,0 @@
|
||||
|
||||
Apache License
|
||||
Version 2.0, January 2004
|
||||
http://www.apache.org/licenses/
|
||||
|
||||
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
||||
|
||||
1. Definitions.
|
||||
|
||||
"License" shall mean the terms and conditions for use, reproduction,
|
||||
and distribution as defined by Sections 1 through 9 of this document.
|
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"Licensor" shall mean the copyright owner or entity authorized by
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the copyright owner that is granting the License.
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"Legal Entity" shall mean the union of the acting entity and all
|
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|
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|
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"control" means (i) the power, direct or indirect, to cause the
|
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direction or management of such entity, whether by contract or
|
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otherwise, or (ii) ownership of fifty percent (50%) or more of the
|
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|
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"You" (or "Your") shall mean an individual or Legal Entity
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Copyright [yyyy] [name of copyright owner]
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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Unless required by applicable law or agreed to in writing, software
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See the License for the specific language governing permissions and
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limitations under the License.
|
||||
@@ -13,8 +13,7 @@ from .local_testing_only_get_latest_logged_call_response_200_tags import (
|
||||
from .report_json_body import ReportJsonBody
|
||||
from .report_json_body_tags import ReportJsonBodyTags
|
||||
from .report_response_200 import ReportResponse200
|
||||
from .report_response_200_status_type_0 import ReportResponse200StatusType0
|
||||
from .report_response_200_status_type_1 import ReportResponse200StatusType1
|
||||
from .report_response_200_status import ReportResponse200Status
|
||||
|
||||
__all__ = (
|
||||
"CheckCacheJsonBody",
|
||||
@@ -26,6 +25,5 @@ __all__ = (
|
||||
"ReportJsonBody",
|
||||
"ReportJsonBodyTags",
|
||||
"ReportResponse200",
|
||||
"ReportResponse200StatusType0",
|
||||
"ReportResponse200StatusType1",
|
||||
"ReportResponse200Status",
|
||||
)
|
||||
|
||||
@@ -1,9 +1,8 @@
|
||||
from typing import Any, Dict, Type, TypeVar, Union
|
||||
from typing import Any, Dict, Type, TypeVar
|
||||
|
||||
from attrs import define
|
||||
|
||||
from ..models.report_response_200_status_type_0 import ReportResponse200StatusType0
|
||||
from ..models.report_response_200_status_type_1 import ReportResponse200StatusType1
|
||||
from ..models.report_response_200_status import ReportResponse200Status
|
||||
|
||||
T = TypeVar("T", bound="ReportResponse200")
|
||||
|
||||
@@ -12,18 +11,12 @@ T = TypeVar("T", bound="ReportResponse200")
|
||||
class ReportResponse200:
|
||||
"""
|
||||
Attributes:
|
||||
status (Union[ReportResponse200StatusType0, ReportResponse200StatusType1]):
|
||||
status (ReportResponse200Status):
|
||||
"""
|
||||
|
||||
status: Union[ReportResponse200StatusType0, ReportResponse200StatusType1]
|
||||
status: ReportResponse200Status
|
||||
|
||||
def to_dict(self) -> Dict[str, Any]:
|
||||
status: str
|
||||
|
||||
if isinstance(self.status, ReportResponse200StatusType0):
|
||||
status = self.status.value
|
||||
|
||||
else:
|
||||
status = self.status.value
|
||||
|
||||
field_dict: Dict[str, Any] = {}
|
||||
@@ -38,23 +31,7 @@ class ReportResponse200:
|
||||
@classmethod
|
||||
def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T:
|
||||
d = src_dict.copy()
|
||||
|
||||
def _parse_status(data: object) -> Union[ReportResponse200StatusType0, ReportResponse200StatusType1]:
|
||||
try:
|
||||
if not isinstance(data, str):
|
||||
raise TypeError()
|
||||
status_type_0 = ReportResponse200StatusType0(data)
|
||||
|
||||
return status_type_0
|
||||
except: # noqa: E722
|
||||
pass
|
||||
if not isinstance(data, str):
|
||||
raise TypeError()
|
||||
status_type_1 = ReportResponse200StatusType1(data)
|
||||
|
||||
return status_type_1
|
||||
|
||||
status = _parse_status(d.pop("status"))
|
||||
status = ReportResponse200Status(d.pop("status"))
|
||||
|
||||
report_response_200 = cls(
|
||||
status=status,
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from enum import Enum
|
||||
|
||||
|
||||
class ReportResponse200StatusType0(str, Enum):
|
||||
class ReportResponse200Status(str, Enum):
|
||||
OK = "ok"
|
||||
|
||||
def __str__(self) -> str:
|
||||
@@ -1,8 +0,0 @@
|
||||
from enum import Enum
|
||||
|
||||
|
||||
class ReportResponse200StatusType1(str, Enum):
|
||||
ERROR = "error"
|
||||
|
||||
def __str__(self) -> str:
|
||||
return str(self.value)
|
||||
@@ -4,7 +4,7 @@ import time
|
||||
import inspect
|
||||
|
||||
from openpipe.merge_openai_chunks import merge_openai_chunks
|
||||
from openpipe.openpipe_meta import openpipe_meta
|
||||
from openpipe.openpipe_meta import OpenPipeMeta
|
||||
|
||||
from .shared import (
|
||||
_should_check_cache,
|
||||
@@ -41,11 +41,9 @@ class WrappedChatCompletion(original_openai.ChatCompletion):
|
||||
)
|
||||
|
||||
cache_status = (
|
||||
"MISS"
|
||||
if _should_check_cache(openpipe_options, kwargs)
|
||||
else "SKIP"
|
||||
"MISS" if _should_check_cache(openpipe_options) else "SKIP"
|
||||
)
|
||||
chunk.openpipe = openpipe_meta(cache_status=cache_status)
|
||||
chunk.openpipe = OpenPipeMeta(cache_status=cache_status)
|
||||
|
||||
yield chunk
|
||||
|
||||
@@ -74,9 +72,9 @@ class WrappedChatCompletion(original_openai.ChatCompletion):
|
||||
)
|
||||
|
||||
cache_status = (
|
||||
"MISS" if _should_check_cache(openpipe_options, kwargs) else "SKIP"
|
||||
"MISS" if _should_check_cache(openpipe_options) else "SKIP"
|
||||
)
|
||||
chat_completion["openpipe"] = openpipe_meta(cache_status=cache_status)
|
||||
chat_completion["openpipe"] = OpenPipeMeta(cache_status=cache_status)
|
||||
return chat_completion
|
||||
except Exception as e:
|
||||
received_at = int(time.time() * 1000)
|
||||
@@ -128,11 +126,9 @@ class WrappedChatCompletion(original_openai.ChatCompletion):
|
||||
assembled_completion, chunk
|
||||
)
|
||||
cache_status = (
|
||||
"MISS"
|
||||
if _should_check_cache(openpipe_options, kwargs)
|
||||
else "SKIP"
|
||||
"MISS" if _should_check_cache(openpipe_options) else "SKIP"
|
||||
)
|
||||
chunk.openpipe = openpipe_meta(cache_status=cache_status)
|
||||
chunk.openpipe = OpenPipeMeta(cache_status=cache_status)
|
||||
|
||||
yield chunk
|
||||
|
||||
@@ -161,9 +157,9 @@ class WrappedChatCompletion(original_openai.ChatCompletion):
|
||||
)
|
||||
|
||||
cache_status = (
|
||||
"MISS" if _should_check_cache(openpipe_options, kwargs) else "SKIP"
|
||||
"MISS" if _should_check_cache(openpipe_options) else "SKIP"
|
||||
)
|
||||
chat_completion["openpipe"] = openpipe_meta(cache_status=cache_status)
|
||||
chat_completion["openpipe"] = OpenPipeMeta(cache_status=cache_status)
|
||||
|
||||
return chat_completion
|
||||
except Exception as e:
|
||||
|
||||
@@ -1,2 +1,7 @@
|
||||
def openpipe_meta(cache_status: str):
|
||||
return {"cache_status": cache_status}
|
||||
from attr import dataclass
|
||||
|
||||
|
||||
@dataclass
|
||||
class OpenPipeMeta:
|
||||
# Cache status. One of 'HIT', 'MISS', 'SKIP'
|
||||
cache_status: str
|
||||
|
||||
@@ -6,19 +6,15 @@ from openpipe.api_client.client import AuthenticatedClient
|
||||
from openpipe.api_client.models.report_json_body_tags import (
|
||||
ReportJsonBodyTags,
|
||||
)
|
||||
import toml
|
||||
import time
|
||||
import os
|
||||
|
||||
# TODO: sync with pyproject.toml
|
||||
version = "3.0.3"
|
||||
version = toml.load("pyproject.toml")["tool"]["poetry"]["version"]
|
||||
|
||||
configured_client = AuthenticatedClient(
|
||||
base_url="https://app.openpipe.ai/api/v1", token=""
|
||||
)
|
||||
|
||||
if os.environ.get("OPENPIPE_API_KEY"):
|
||||
configured_client.token = os.environ["OPENPIPE_API_KEY"]
|
||||
|
||||
|
||||
def _get_tags(openpipe_options):
|
||||
tags = openpipe_options.get("tags") or {}
|
||||
@@ -28,18 +24,10 @@ def _get_tags(openpipe_options):
|
||||
return ReportJsonBodyTags.from_dict(tags)
|
||||
|
||||
|
||||
def _should_check_cache(openpipe_options, req_payload):
|
||||
def _should_check_cache(openpipe_options):
|
||||
if configured_client.token == "":
|
||||
return False
|
||||
|
||||
cache_requested = openpipe_options.get("cache", False)
|
||||
streaming = req_payload.get("stream", False)
|
||||
if cache_requested and streaming:
|
||||
print(
|
||||
"Caching is not yet supported for streaming requests. Ignoring cache flag. Vote for this feature at https://github.com/OpenPipe/OpenPipe/issues/159"
|
||||
)
|
||||
return False
|
||||
return cache_requested
|
||||
return openpipe_options.get("cache", False)
|
||||
|
||||
|
||||
def _process_cache_payload(
|
||||
@@ -56,7 +44,7 @@ def maybe_check_cache(
|
||||
openpipe_options={},
|
||||
req_payload={},
|
||||
):
|
||||
if not _should_check_cache(openpipe_options, req_payload):
|
||||
if not _should_check_cache(openpipe_options):
|
||||
return None
|
||||
try:
|
||||
payload = check_cache.sync(
|
||||
@@ -80,7 +68,7 @@ async def maybe_check_cache_async(
|
||||
openpipe_options={},
|
||||
req_payload={},
|
||||
):
|
||||
if not _should_check_cache(openpipe_options, req_payload):
|
||||
if not _should_check_cache(openpipe_options):
|
||||
return None
|
||||
|
||||
try:
|
||||
|
||||
@@ -27,14 +27,12 @@ def last_logged_call():
|
||||
return local_testing_only_get_latest_logged_call.sync(client=configured_client)
|
||||
|
||||
|
||||
@pytest.mark.focus
|
||||
def test_sync():
|
||||
completion = openai.ChatCompletion.create(
|
||||
model="gpt-3.5-turbo",
|
||||
messages=[{"role": "system", "content": "count to 3"}],
|
||||
)
|
||||
|
||||
print("completion is", completion)
|
||||
last_logged = last_logged_call()
|
||||
assert (
|
||||
last_logged.model_response.resp_payload["choices"][0]["message"]["content"]
|
||||
@@ -44,7 +42,7 @@ def test_sync():
|
||||
last_logged.model_response.req_payload["messages"][0]["content"] == "count to 3"
|
||||
)
|
||||
|
||||
assert completion.openpipe["cache_status"] == "SKIP"
|
||||
assert completion.openpipe.cache_status == "SKIP"
|
||||
|
||||
|
||||
def test_streaming():
|
||||
@@ -77,7 +75,7 @@ async def test_async():
|
||||
== "count down from 5"
|
||||
)
|
||||
|
||||
assert completion.openpipe["cache_status"] == "SKIP"
|
||||
assert completion.openpipe.cache_status == "SKIP"
|
||||
|
||||
|
||||
async def test_async_streaming():
|
||||
@@ -89,7 +87,7 @@ async def test_async_streaming():
|
||||
|
||||
merged = None
|
||||
async for chunk in completion:
|
||||
assert chunk.openpipe["cache_status"] == "SKIP"
|
||||
assert chunk.openpipe.cache_status == "SKIP"
|
||||
merged = merge_openai_chunks(merged, chunk)
|
||||
|
||||
last_logged = last_logged_call()
|
||||
@@ -102,7 +100,7 @@ async def test_async_streaming():
|
||||
last_logged.model_response.req_payload["messages"][0]["content"]
|
||||
== "count down from 5"
|
||||
)
|
||||
assert merged["openpipe"]["cache_status"] == "SKIP"
|
||||
assert merged["openpipe"].cache_status == "SKIP"
|
||||
|
||||
|
||||
def test_sync_with_tags():
|
||||
@@ -148,7 +146,7 @@ async def test_caching():
|
||||
messages=messages,
|
||||
openpipe={"cache": True},
|
||||
)
|
||||
assert completion.openpipe["cache_status"] == "MISS"
|
||||
assert completion.openpipe.cache_status == "MISS"
|
||||
|
||||
first_logged = last_logged_call()
|
||||
assert (
|
||||
@@ -161,4 +159,4 @@ async def test_caching():
|
||||
messages=messages,
|
||||
openpipe={"cache": True},
|
||||
)
|
||||
assert completion2.openpipe["cache_status"] == "HIT"
|
||||
assert completion2.openpipe.cache_status == "HIT"
|
||||
|
||||
@@ -1,13 +1,9 @@
|
||||
[tool.poetry]
|
||||
name = "openpipe"
|
||||
version = "3.0.3"
|
||||
description = "Python client library for the OpenPipe service"
|
||||
authors = ["Kyle Corbitt <kyle@openpipe.ai>"]
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["Kyle Corbitt <kyle@corbt.com>"]
|
||||
license = "Apache-2.0"
|
||||
readme = "README.md"
|
||||
homepage = "https://github.com/OpenPipe/OpenPipe"
|
||||
repository = "https://github.com/OpenPipe/OpenPipe"
|
||||
include = ["pyproject.toml"]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.9"
|
||||
|
||||
@@ -13,17 +13,15 @@
|
||||
"author": "",
|
||||
"license": "Apache-2.0",
|
||||
"dependencies": {
|
||||
"encoding": "^0.1.13",
|
||||
"form-data": "^4.0.0",
|
||||
"lodash-es": "^4.17.21",
|
||||
"node-fetch": "^2.6.12",
|
||||
"node-fetch": "^3.3.2",
|
||||
"openai-beta": "npm:openai@4.0.0-beta.7",
|
||||
"openai-legacy": "npm:openai@3.3.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/lodash-es": "^4.17.8",
|
||||
"@types/node": "^20.4.8",
|
||||
"@types/node-fetch": "^2.6.4",
|
||||
"dotenv": "^16.3.1",
|
||||
"tsx": "^3.12.7",
|
||||
"typescript": "^5.0.4",
|
||||
|
||||
@@ -2,38 +2,42 @@
|
||||
/* istanbul ignore file */
|
||||
/* tslint:disable */
|
||||
/* eslint-disable */
|
||||
import FormData from 'form-data';
|
||||
import fetch, { Headers } from 'node-fetch';
|
||||
import type { RequestInit, Response } from 'node-fetch';
|
||||
import type { AbortSignal } from 'node-fetch/externals';
|
||||
import FormData from "form-data";
|
||||
import fetch, { Headers } from "node-fetch";
|
||||
import type { RequestInit, Response } from "node-fetch";
|
||||
|
||||
import { ApiError } from './ApiError';
|
||||
import type { ApiRequestOptions } from './ApiRequestOptions';
|
||||
import type { ApiResult } from './ApiResult';
|
||||
import { CancelablePromise } from './CancelablePromise';
|
||||
import type { OnCancel } from './CancelablePromise';
|
||||
import type { OpenAPIConfig } from './OpenAPI';
|
||||
// @ts-expect-error TODO maybe I need an older node-fetch or something?
|
||||
import type { AbortSignal } from "node-fetch/externals";
|
||||
|
||||
export const isDefined = <T>(value: T | null | undefined): value is Exclude<T, null | undefined> => {
|
||||
import { ApiError } from "./ApiError";
|
||||
import type { ApiRequestOptions } from "./ApiRequestOptions";
|
||||
import type { ApiResult } from "./ApiResult";
|
||||
import { CancelablePromise } from "./CancelablePromise";
|
||||
import type { OnCancel } from "./CancelablePromise";
|
||||
import type { OpenAPIConfig } from "./OpenAPI";
|
||||
|
||||
export const isDefined = <T>(
|
||||
value: T | null | undefined
|
||||
): value is Exclude<T, null | undefined> => {
|
||||
return value !== undefined && value !== null;
|
||||
};
|
||||
|
||||
export const isString = (value: any): value is string => {
|
||||
return typeof value === 'string';
|
||||
return typeof value === "string";
|
||||
};
|
||||
|
||||
export const isStringWithValue = (value: any): value is string => {
|
||||
return isString(value) && value !== '';
|
||||
return isString(value) && value !== "";
|
||||
};
|
||||
|
||||
export const isBlob = (value: any): value is Blob => {
|
||||
return (
|
||||
typeof value === 'object' &&
|
||||
typeof value.type === 'string' &&
|
||||
typeof value.stream === 'function' &&
|
||||
typeof value.arrayBuffer === 'function' &&
|
||||
typeof value.constructor === 'function' &&
|
||||
typeof value.constructor.name === 'string' &&
|
||||
typeof value === "object" &&
|
||||
typeof value.type === "string" &&
|
||||
typeof value.stream === "function" &&
|
||||
typeof value.arrayBuffer === "function" &&
|
||||
typeof value.constructor === "function" &&
|
||||
typeof value.constructor.name === "string" &&
|
||||
/^(Blob|File)$/.test(value.constructor.name) &&
|
||||
/^(Blob|File)$/.test(value[Symbol.toStringTag])
|
||||
);
|
||||
@@ -48,7 +52,7 @@ export const base64 = (str: string): string => {
|
||||
return btoa(str);
|
||||
} catch (err) {
|
||||
// @ts-ignore
|
||||
return Buffer.from(str).toString('base64');
|
||||
return Buffer.from(str).toString("base64");
|
||||
}
|
||||
};
|
||||
|
||||
@@ -62,10 +66,10 @@ export const getQueryString = (params: Record<string, any>): string => {
|
||||
const process = (key: string, value: any) => {
|
||||
if (isDefined(value)) {
|
||||
if (Array.isArray(value)) {
|
||||
value.forEach(v => {
|
||||
value.forEach((v) => {
|
||||
process(key, v);
|
||||
});
|
||||
} else if (typeof value === 'object') {
|
||||
} else if (typeof value === "object") {
|
||||
Object.entries(value).forEach(([k, v]) => {
|
||||
process(`${key}[${k}]`, v);
|
||||
});
|
||||
@@ -80,17 +84,17 @@ export const getQueryString = (params: Record<string, any>): string => {
|
||||
});
|
||||
|
||||
if (qs.length > 0) {
|
||||
return `?${qs.join('&')}`;
|
||||
return `?${qs.join("&")}`;
|
||||
}
|
||||
|
||||
return '';
|
||||
return "";
|
||||
};
|
||||
|
||||
const getUrl = (config: OpenAPIConfig, options: ApiRequestOptions): string => {
|
||||
const encoder = config.ENCODE_PATH || encodeURI;
|
||||
|
||||
const path = options.url
|
||||
.replace('{api-version}', config.VERSION)
|
||||
.replace("{api-version}", config.VERSION)
|
||||
.replace(/{(.*?)}/g, (substring: string, group: string) => {
|
||||
if (options.path?.hasOwnProperty(group)) {
|
||||
return encoder(String(options.path[group]));
|
||||
@@ -121,7 +125,7 @@ export const getFormData = (options: ApiRequestOptions): FormData | undefined =>
|
||||
.filter(([_, value]) => isDefined(value))
|
||||
.forEach(([key, value]) => {
|
||||
if (Array.isArray(value)) {
|
||||
value.forEach(v => process(key, v));
|
||||
value.forEach((v) => process(key, v));
|
||||
} else {
|
||||
process(key, value);
|
||||
}
|
||||
@@ -134,48 +138,57 @@ export const getFormData = (options: ApiRequestOptions): FormData | undefined =>
|
||||
|
||||
type Resolver<T> = (options: ApiRequestOptions) => Promise<T>;
|
||||
|
||||
export const resolve = async <T>(options: ApiRequestOptions, resolver?: T | Resolver<T>): Promise<T | undefined> => {
|
||||
if (typeof resolver === 'function') {
|
||||
export const resolve = async <T>(
|
||||
options: ApiRequestOptions,
|
||||
resolver?: T | Resolver<T>
|
||||
): Promise<T | undefined> => {
|
||||
if (typeof resolver === "function") {
|
||||
return (resolver as Resolver<T>)(options);
|
||||
}
|
||||
return resolver;
|
||||
};
|
||||
|
||||
export const getHeaders = async (config: OpenAPIConfig, options: ApiRequestOptions): Promise<Headers> => {
|
||||
export const getHeaders = async (
|
||||
config: OpenAPIConfig,
|
||||
options: ApiRequestOptions
|
||||
): Promise<Headers> => {
|
||||
const token = await resolve(options, config.TOKEN);
|
||||
const username = await resolve(options, config.USERNAME);
|
||||
const password = await resolve(options, config.PASSWORD);
|
||||
const additionalHeaders = await resolve(options, config.HEADERS);
|
||||
|
||||
const headers = Object.entries({
|
||||
Accept: 'application/json',
|
||||
Accept: "application/json",
|
||||
...additionalHeaders,
|
||||
...options.headers,
|
||||
})
|
||||
.filter(([_, value]) => isDefined(value))
|
||||
.reduce((headers, [key, value]) => ({
|
||||
.reduce(
|
||||
(headers, [key, value]) => ({
|
||||
...headers,
|
||||
[key]: String(value),
|
||||
}), {} as Record<string, string>);
|
||||
}),
|
||||
{} as Record<string, string>
|
||||
);
|
||||
|
||||
if (isStringWithValue(token)) {
|
||||
headers['Authorization'] = `Bearer ${token}`;
|
||||
headers["Authorization"] = `Bearer ${token}`;
|
||||
}
|
||||
|
||||
if (isStringWithValue(username) && isStringWithValue(password)) {
|
||||
const credentials = base64(`${username}:${password}`);
|
||||
headers['Authorization'] = `Basic ${credentials}`;
|
||||
headers["Authorization"] = `Basic ${credentials}`;
|
||||
}
|
||||
|
||||
if (options.body) {
|
||||
if (options.mediaType) {
|
||||
headers['Content-Type'] = options.mediaType;
|
||||
headers["Content-Type"] = options.mediaType;
|
||||
} else if (isBlob(options.body)) {
|
||||
headers['Content-Type'] = 'application/octet-stream';
|
||||
headers["Content-Type"] = "application/octet-stream";
|
||||
} else if (isString(options.body)) {
|
||||
headers['Content-Type'] = 'text/plain';
|
||||
headers["Content-Type"] = "text/plain";
|
||||
} else if (!isFormData(options.body)) {
|
||||
headers['Content-Type'] = 'application/json';
|
||||
headers["Content-Type"] = "application/json";
|
||||
}
|
||||
}
|
||||
|
||||
@@ -184,8 +197,8 @@ export const getHeaders = async (config: OpenAPIConfig, options: ApiRequestOptio
|
||||
|
||||
export const getRequestBody = (options: ApiRequestOptions): any => {
|
||||
if (options.body !== undefined) {
|
||||
if (options.mediaType?.includes('/json')) {
|
||||
return JSON.stringify(options.body)
|
||||
if (options.mediaType?.includes("/json")) {
|
||||
return JSON.stringify(options.body);
|
||||
} else if (isString(options.body) || isBlob(options.body) || isFormData(options.body)) {
|
||||
return options.body as any;
|
||||
} else {
|
||||
@@ -217,7 +230,10 @@ export const sendRequest = async (
|
||||
return await fetch(url, request);
|
||||
};
|
||||
|
||||
export const getResponseHeader = (response: Response, responseHeader?: string): string | undefined => {
|
||||
export const getResponseHeader = (
|
||||
response: Response,
|
||||
responseHeader?: string
|
||||
): string | undefined => {
|
||||
if (responseHeader) {
|
||||
const content = response.headers.get(responseHeader);
|
||||
if (isString(content)) {
|
||||
@@ -230,10 +246,10 @@ export const getResponseHeader = (response: Response, responseHeader?: string):
|
||||
export const getResponseBody = async (response: Response): Promise<any> => {
|
||||
if (response.status !== 204) {
|
||||
try {
|
||||
const contentType = response.headers.get('Content-Type');
|
||||
const contentType = response.headers.get("Content-Type");
|
||||
if (contentType) {
|
||||
const jsonTypes = ['application/json', 'application/problem+json']
|
||||
const isJSON = jsonTypes.some(type => contentType.toLowerCase().startsWith(type));
|
||||
const jsonTypes = ["application/json", "application/problem+json"];
|
||||
const isJSON = jsonTypes.some((type) => contentType.toLowerCase().startsWith(type));
|
||||
if (isJSON) {
|
||||
return await response.json();
|
||||
} else {
|
||||
@@ -249,15 +265,15 @@ export const getResponseBody = async (response: Response): Promise<any> => {
|
||||
|
||||
export const catchErrorCodes = (options: ApiRequestOptions, result: ApiResult): void => {
|
||||
const errors: Record<number, string> = {
|
||||
400: 'Bad Request',
|
||||
401: 'Unauthorized',
|
||||
403: 'Forbidden',
|
||||
404: 'Not Found',
|
||||
500: 'Internal Server Error',
|
||||
502: 'Bad Gateway',
|
||||
503: 'Service Unavailable',
|
||||
400: "Bad Request",
|
||||
401: "Unauthorized",
|
||||
403: "Forbidden",
|
||||
404: "Not Found",
|
||||
500: "Internal Server Error",
|
||||
502: "Bad Gateway",
|
||||
503: "Service Unavailable",
|
||||
...options.errors,
|
||||
}
|
||||
};
|
||||
|
||||
const error = errors[result.status];
|
||||
if (error) {
|
||||
@@ -265,8 +281,8 @@ export const catchErrorCodes = (options: ApiRequestOptions, result: ApiResult):
|
||||
}
|
||||
|
||||
if (!result.ok) {
|
||||
const errorStatus = result.status ?? 'unknown';
|
||||
const errorStatusText = result.statusText ?? 'unknown';
|
||||
const errorStatus = result.status ?? "unknown";
|
||||
const errorStatusText = result.statusText ?? "unknown";
|
||||
const errorBody = (() => {
|
||||
try {
|
||||
return JSON.stringify(result.body, null, 2);
|
||||
@@ -275,7 +291,9 @@ export const catchErrorCodes = (options: ApiRequestOptions, result: ApiResult):
|
||||
}
|
||||
})();
|
||||
|
||||
throw new ApiError(options, result,
|
||||
throw new ApiError(
|
||||
options,
|
||||
result,
|
||||
`Generic Error: status: ${errorStatus}; status text: ${errorStatusText}; body: ${errorBody}`
|
||||
);
|
||||
}
|
||||
@@ -288,7 +306,10 @@ export const catchErrorCodes = (options: ApiRequestOptions, result: ApiResult):
|
||||
* @returns CancelablePromise<T>
|
||||
* @throws ApiError
|
||||
*/
|
||||
export const request = <T>(config: OpenAPIConfig, options: ApiRequestOptions): CancelablePromise<T> => {
|
||||
export const request = <T>(
|
||||
config: OpenAPIConfig,
|
||||
options: ApiRequestOptions
|
||||
): CancelablePromise<T> => {
|
||||
return new CancelablePromise(async (resolve, reject, onCancel) => {
|
||||
try {
|
||||
const url = getUrl(config, options);
|
||||
|
||||
@@ -82,7 +82,7 @@ export class DefaultService {
|
||||
tags?: Record<string, string>;
|
||||
},
|
||||
): CancelablePromise<{
|
||||
status: ('ok' | 'error');
|
||||
status: 'ok';
|
||||
}> {
|
||||
return this.httpRequest.request({
|
||||
method: 'POST',
|
||||
|
||||
@@ -2,13 +2,10 @@ import dotenv from "dotenv";
|
||||
import { expect, test } from "vitest";
|
||||
import OpenAI from ".";
|
||||
import {
|
||||
ChatCompletion,
|
||||
CompletionCreateParams,
|
||||
CreateChatCompletionRequestMessage,
|
||||
} from "openai-beta/resources/chat/completions";
|
||||
import { OPClient } from "../codegen";
|
||||
import mergeChunks from "./mergeChunks";
|
||||
import assert from "assert";
|
||||
|
||||
dotenv.config({ path: "../.env" });
|
||||
|
||||
@@ -34,7 +31,9 @@ test("basic call", async () => {
|
||||
};
|
||||
const completion = await oaiClient.chat.completions.create({
|
||||
...payload,
|
||||
openpipe: { tags: { promptId: "test" } },
|
||||
openpipe: {
|
||||
tags: { promptId: "test" },
|
||||
},
|
||||
});
|
||||
await completion.openpipe.reportingFinished;
|
||||
const lastLogged = await lastLoggedCall();
|
||||
@@ -47,32 +46,29 @@ const randomString = (length: number) => {
|
||||
const characters = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789";
|
||||
return Array.from(
|
||||
{ length },
|
||||
() => characters[Math.floor(Math.random() * characters.length)],
|
||||
() => characters[Math.floor(Math.random() * characters.length)]
|
||||
).join("");
|
||||
};
|
||||
|
||||
test("streaming", async () => {
|
||||
test.skip("streaming", async () => {
|
||||
const completion = await oaiClient.chat.completions.create({
|
||||
model: "gpt-3.5-turbo",
|
||||
messages: [{ role: "system", content: "count to 3" }],
|
||||
messages: [{ role: "system", content: "count to 4" }],
|
||||
stream: true,
|
||||
});
|
||||
|
||||
let merged: ChatCompletion | null = null;
|
||||
let merged = null;
|
||||
for await (const chunk of completion) {
|
||||
merged = mergeChunks(merged, chunk);
|
||||
merged = merge_openai_chunks(merged, chunk);
|
||||
}
|
||||
|
||||
const lastLogged = await lastLoggedCall();
|
||||
await completion.openpipe.reportingFinished;
|
||||
|
||||
expect(merged).toMatchObject(lastLogged?.modelResponse?.respPayload);
|
||||
expect(lastLogged?.modelResponse?.reqPayload.messages).toMatchObject([
|
||||
{ role: "system", content: "count to 3" },
|
||||
]);
|
||||
expect(lastLogged?.modelResponse?.respPayload.choices[0].message.content).toBe(
|
||||
merged.choices[0].message.content
|
||||
);
|
||||
});
|
||||
|
||||
test("bad call streaming", async () => {
|
||||
test.skip("bad call streaming", async () => {
|
||||
try {
|
||||
await oaiClient.chat.completions.create({
|
||||
model: "gpt-3.5-turbo-blaster",
|
||||
@@ -80,29 +76,26 @@ test("bad call streaming", async () => {
|
||||
stream: true,
|
||||
});
|
||||
} catch (e) {
|
||||
await e.openpipe.reportingFinished;
|
||||
const lastLogged = await lastLoggedCall();
|
||||
expect(lastLogged?.modelResponse?.errorMessage).toEqual(
|
||||
"The model `gpt-3.5-turbo-blaster` does not exist",
|
||||
expect(lastLogged?.modelResponse?.errorMessage).toBe(
|
||||
"The model `gpt-3.5-turbo-blaster` does not exist"
|
||||
);
|
||||
expect(lastLogged?.modelResponse?.statusCode).toEqual(404);
|
||||
expect(lastLogged?.modelResponse?.statusCode).toBe(404);
|
||||
}
|
||||
});
|
||||
|
||||
test("bad call", async () => {
|
||||
try {
|
||||
await oaiClient.chat.completions.create({
|
||||
model: "gpt-3.5-turbo-buster",
|
||||
model: "gpt-3.5-turbo-booster",
|
||||
messages: [{ role: "system", content: "count to 10" }],
|
||||
});
|
||||
} catch (e) {
|
||||
assert("openpipe" in e);
|
||||
await e.openpipe.reportingFinished;
|
||||
const lastLogged = await lastLoggedCall();
|
||||
expect(lastLogged?.modelResponse?.errorMessage).toEqual(
|
||||
"The model `gpt-3.5-turbo-buster` does not exist",
|
||||
expect(lastLogged?.modelResponse?.errorMessage).toBe(
|
||||
"The model `gpt-3.5-turbo-booster` does not exist"
|
||||
);
|
||||
expect(lastLogged?.modelResponse?.statusCode).toEqual(404);
|
||||
expect(lastLogged?.modelResponse?.statusCode).toBe(404);
|
||||
}
|
||||
});
|
||||
|
||||
@@ -116,12 +109,12 @@ test("caching", async () => {
|
||||
messages: [message],
|
||||
openpipe: { cache: true },
|
||||
});
|
||||
expect(completion.openpipe.cacheStatus).toEqual("MISS");
|
||||
expect(completion.openpipe.cacheStatus).toBe("MISS");
|
||||
|
||||
await completion.openpipe.reportingFinished;
|
||||
const firstLogged = await lastLoggedCall();
|
||||
expect(completion.choices[0].message.content).toEqual(
|
||||
firstLogged?.modelResponse?.respPayload.choices[0].message.content,
|
||||
expect(completion.choices[0].message.content).toBe(
|
||||
firstLogged?.modelResponse?.respPayload.choices[0].message.content
|
||||
);
|
||||
|
||||
const completion2 = await oaiClient.chat.completions.create({
|
||||
@@ -129,5 +122,5 @@ test("caching", async () => {
|
||||
messages: [message],
|
||||
openpipe: { cache: true },
|
||||
});
|
||||
expect(completion2.openpipe.cacheStatus).toEqual("HIT");
|
||||
expect(completion2.openpipe.cacheStatus).toBe("HIT");
|
||||
});
|
||||
|
||||
@@ -5,9 +5,9 @@ import {
|
||||
ChatCompletion,
|
||||
ChatCompletionChunk,
|
||||
CompletionCreateParams,
|
||||
Completions,
|
||||
} from "openai-beta/resources/chat/completions";
|
||||
|
||||
import { WrappedStream } from "./streaming";
|
||||
import { DefaultService, OPClient } from "../codegen";
|
||||
import { Stream } from "openai-beta/streaming";
|
||||
import { OpenPipeArgs, OpenPipeMeta, type OpenPipeConfig, getTags } from "../shared";
|
||||
@@ -27,11 +27,11 @@ export default class OpenAI extends openai.OpenAI {
|
||||
BASE:
|
||||
openpipe?.baseUrl ?? readEnv("OPENPIPE_BASE_URL") ?? "https://app.openpipe.ai/api/v1",
|
||||
TOKEN: openPipeApiKey,
|
||||
}),
|
||||
})
|
||||
);
|
||||
} else {
|
||||
console.warn(
|
||||
"You're using the OpenPipe client without an API key. No completion requests will be logged.",
|
||||
"You're using the OpenPipe client without an API key. No completion requests will be logged."
|
||||
);
|
||||
}
|
||||
}
|
||||
@@ -43,10 +43,10 @@ class WrappedChat extends openai.OpenAI.Chat {
|
||||
this.completions.opClient = client;
|
||||
}
|
||||
|
||||
completions: WrappedCompletions = new WrappedCompletions(this.client);
|
||||
completions: InstrumentedCompletions = new InstrumentedCompletions(this.client);
|
||||
}
|
||||
|
||||
class WrappedCompletions extends openai.OpenAI.Chat.Completions {
|
||||
class InstrumentedCompletions extends openai.OpenAI.Chat.Completions {
|
||||
opClient?: OPClient;
|
||||
|
||||
constructor(client: openai.OpenAI, opClient?: OPClient) {
|
||||
@@ -54,35 +54,32 @@ class WrappedCompletions extends openai.OpenAI.Chat.Completions {
|
||||
this.opClient = opClient;
|
||||
}
|
||||
|
||||
async _report(args: Parameters<DefaultService["report"]>[0]) {
|
||||
_report(args: Parameters<DefaultService["report"]>[0]) {
|
||||
try {
|
||||
this.opClient ? await this.opClient.default.report(args) : Promise.resolve();
|
||||
return this.opClient ? this.opClient.default.report(args) : Promise.resolve();
|
||||
} catch (e) {
|
||||
console.error(e);
|
||||
return Promise.resolve();
|
||||
}
|
||||
}
|
||||
|
||||
create(
|
||||
body: CompletionCreateParams.CreateChatCompletionRequestNonStreaming & OpenPipeArgs,
|
||||
options?: Core.RequestOptions,
|
||||
options?: Core.RequestOptions
|
||||
): Promise<Core.APIResponse<ChatCompletion & { openpipe: OpenPipeMeta }>>;
|
||||
create(
|
||||
body: CompletionCreateParams.CreateChatCompletionRequestStreaming & OpenPipeArgs,
|
||||
options?: Core.RequestOptions,
|
||||
): Promise<Core.APIResponse<WrappedStream>>;
|
||||
options?: Core.RequestOptions
|
||||
): Promise<Core.APIResponse<Stream<ChatCompletionChunk>>>;
|
||||
async create(
|
||||
{ openpipe, ...body }: CompletionCreateParams & OpenPipeArgs,
|
||||
options?: Core.RequestOptions,
|
||||
): Promise<Core.APIResponse<(ChatCompletion & { openpipe: OpenPipeMeta }) | WrappedStream>> {
|
||||
options?: Core.RequestOptions
|
||||
): Promise<
|
||||
Core.APIResponse<(ChatCompletion & { openpipe: OpenPipeMeta }) | Stream<ChatCompletionChunk>>
|
||||
> {
|
||||
console.log("LALALA REPORT", this.opClient);
|
||||
const requestedAt = Date.now();
|
||||
let reportingFinished: OpenPipeMeta["reportingFinished"] = Promise.resolve();
|
||||
let cacheRequested = openpipe?.cache ?? false;
|
||||
if (cacheRequested && body.stream) {
|
||||
console.warn(
|
||||
`Caching is not yet supported for streaming requests. Ignoring cache flag. Vote for this feature at https://github.com/OpenPipe/OpenPipe/issues/159`,
|
||||
);
|
||||
cacheRequested = false;
|
||||
}
|
||||
const cacheRequested = openpipe?.cache ?? false;
|
||||
|
||||
if (cacheRequested) {
|
||||
try {
|
||||
@@ -95,13 +92,12 @@ class WrappedCompletions extends openai.OpenAI.Chat.Completions {
|
||||
.then((res) => res.respPayload);
|
||||
|
||||
if (cached) {
|
||||
const meta = {
|
||||
cacheStatus: "HIT",
|
||||
reportingFinished,
|
||||
};
|
||||
return {
|
||||
...cached,
|
||||
openpipe: meta,
|
||||
openpipe: {
|
||||
cacheStatus: "HIT",
|
||||
reportingFinished: Promise.resolve(),
|
||||
},
|
||||
};
|
||||
}
|
||||
} catch (e) {
|
||||
@@ -109,23 +105,15 @@ class WrappedCompletions extends openai.OpenAI.Chat.Completions {
|
||||
}
|
||||
}
|
||||
|
||||
let reportingFinished: OpenPipeMeta["reportingFinished"] = Promise.resolve();
|
||||
|
||||
try {
|
||||
if (body.stream) {
|
||||
const stream = await super.create(body, options);
|
||||
const wrappedStream = new WrappedStream(stream, (response) =>
|
||||
this._report({
|
||||
requestedAt,
|
||||
receivedAt: Date.now(),
|
||||
reqPayload: body,
|
||||
respPayload: response,
|
||||
statusCode: 200,
|
||||
tags: getTags(openpipe),
|
||||
}),
|
||||
);
|
||||
|
||||
// Do some logging of each chunk here
|
||||
|
||||
return wrappedStream;
|
||||
return stream;
|
||||
} else {
|
||||
const response = await super.create(body, options);
|
||||
|
||||
@@ -159,16 +147,6 @@ class WrappedCompletions extends openai.OpenAI.Chat.Completions {
|
||||
tags: getTags(openpipe),
|
||||
});
|
||||
}
|
||||
// make sure error is an object we can add properties to
|
||||
if (typeof error === "object" && error !== null) {
|
||||
error = {
|
||||
...error,
|
||||
openpipe: {
|
||||
cacheStatus: cacheRequested ? "MISS" : "SKIP",
|
||||
reportingFinished,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
throw error;
|
||||
}
|
||||
|
||||
@@ -1,43 +0,0 @@
|
||||
import { ChatCompletion, ChatCompletionChunk } from "openai-beta/resources/chat";
|
||||
import { Stream } from "openai-beta/streaming";
|
||||
import { OpenPipeMeta } from "../shared";
|
||||
import mergeChunks from "./mergeChunks";
|
||||
|
||||
export class WrappedStream extends Stream<ChatCompletionChunk> {
|
||||
openpipe: OpenPipeMeta;
|
||||
|
||||
private resolveReportingFinished: () => void = () => {};
|
||||
private report: (response: unknown) => Promise<void>;
|
||||
|
||||
constructor(stream: Stream<ChatCompletionChunk>, report: (response: unknown) => Promise<void>) {
|
||||
super(stream.response, stream.controller);
|
||||
this.report = report;
|
||||
|
||||
const reportingFinished = new Promise<void>((resolve) => {
|
||||
this.resolveReportingFinished = resolve;
|
||||
});
|
||||
|
||||
this.openpipe = {
|
||||
cacheStatus: "MISS",
|
||||
reportingFinished,
|
||||
};
|
||||
}
|
||||
|
||||
async *[Symbol.asyncIterator](): AsyncIterator<ChatCompletionChunk, any, undefined> {
|
||||
const iterator = super[Symbol.asyncIterator]();
|
||||
|
||||
let combinedResponse: ChatCompletion | null = null;
|
||||
while (true) {
|
||||
const result = await iterator.next();
|
||||
if (result.done) break;
|
||||
combinedResponse = mergeChunks(combinedResponse, result.value);
|
||||
|
||||
yield result.value;
|
||||
}
|
||||
|
||||
await this.report(combinedResponse);
|
||||
|
||||
// Resolve the promise here
|
||||
this.resolveReportingFinished();
|
||||
}
|
||||
}
|
||||
@@ -1,5 +1,4 @@
|
||||
import pkg from "../package.json";
|
||||
import { DefaultService } from "./codegen";
|
||||
|
||||
export type OpenPipeConfig = {
|
||||
apiKey?: string;
|
||||
@@ -16,11 +15,9 @@ export type OpenPipeMeta = {
|
||||
// We report your call to OpenPipe asynchronously in the background. If you
|
||||
// need to wait until the report is sent to take further action, you can await
|
||||
// this promise.
|
||||
reportingFinished: Promise<void>;
|
||||
reportingFinished: Promise<void | { status: "ok" }>;
|
||||
};
|
||||
|
||||
export type ReportFn = (...args: Parameters<DefaultService["report"]>) => Promise<void>;
|
||||
|
||||
export const getTags = (args: OpenPipeArgs["openpipe"]): Record<string, string> => ({
|
||||
...args?.tags,
|
||||
...(args?.cache ? { $cache: args.cache?.toString() } : {}),
|
||||
|
||||
86
pnpm-lock.yaml
generated
86
pnpm-lock.yaml
generated
@@ -116,9 +116,6 @@ importers:
|
||||
graphile-worker:
|
||||
specifier: ^0.13.0
|
||||
version: 0.13.0
|
||||
human-id:
|
||||
specifier: ^4.0.0
|
||||
version: 4.0.0
|
||||
immer:
|
||||
specifier: ^10.0.2
|
||||
version: 10.0.2
|
||||
@@ -169,7 +166,7 @@ importers:
|
||||
version: 6.9.4
|
||||
openai:
|
||||
specifier: 4.0.0-beta.7
|
||||
version: 4.0.0-beta.7(encoding@0.1.13)
|
||||
version: 4.0.0-beta.7
|
||||
openpipe:
|
||||
specifier: workspace:*
|
||||
version: link:../client-libs/typescript
|
||||
@@ -360,9 +357,6 @@ importers:
|
||||
|
||||
client-libs/typescript:
|
||||
dependencies:
|
||||
encoding:
|
||||
specifier: ^0.1.13
|
||||
version: 0.1.13
|
||||
form-data:
|
||||
specifier: ^4.0.0
|
||||
version: 4.0.0
|
||||
@@ -370,11 +364,11 @@ importers:
|
||||
specifier: ^4.17.21
|
||||
version: 4.17.21
|
||||
node-fetch:
|
||||
specifier: ^2.6.12
|
||||
version: 2.6.12(encoding@0.1.13)
|
||||
specifier: ^3.3.2
|
||||
version: 3.3.2
|
||||
openai-beta:
|
||||
specifier: npm:openai@4.0.0-beta.7
|
||||
version: /openai@4.0.0-beta.7(encoding@0.1.13)
|
||||
version: /openai@4.0.0-beta.7
|
||||
openai-legacy:
|
||||
specifier: npm:openai@3.3.0
|
||||
version: /openai@3.3.0
|
||||
@@ -385,9 +379,6 @@ importers:
|
||||
'@types/node':
|
||||
specifier: ^20.4.8
|
||||
version: 20.4.8
|
||||
'@types/node-fetch':
|
||||
specifier: ^2.6.4
|
||||
version: 2.6.4
|
||||
dotenv:
|
||||
specifier: ^16.3.1
|
||||
version: 16.3.1
|
||||
@@ -425,7 +416,7 @@ packages:
|
||||
digest-fetch: 1.3.0
|
||||
form-data-encoder: 1.7.2
|
||||
formdata-node: 4.4.1
|
||||
node-fetch: 2.6.12(encoding@0.1.13)
|
||||
node-fetch: 2.6.12
|
||||
transitivePeerDependencies:
|
||||
- encoding
|
||||
dev: false
|
||||
@@ -2699,7 +2690,7 @@ packages:
|
||||
dependencies:
|
||||
https-proxy-agent: 5.0.1
|
||||
mkdirp: 0.5.6
|
||||
node-fetch: 2.6.12(encoding@0.1.13)
|
||||
node-fetch: 2.6.12
|
||||
progress: 2.0.3
|
||||
proxy-from-env: 1.1.0
|
||||
which: 2.0.2
|
||||
@@ -3189,6 +3180,7 @@ packages:
|
||||
dependencies:
|
||||
'@types/node': 20.4.10
|
||||
form-data: 3.0.1
|
||||
dev: false
|
||||
|
||||
/@types/node@18.16.0:
|
||||
resolution: {integrity: sha512-BsAaKhB+7X+H4GnSjGhJG9Qi8Tw+inU9nJDwmD5CgOmBLEI6ArdhikpLX7DjbjDRDTbqZzU2LSQNZg8WGPiSZQ==}
|
||||
@@ -3839,6 +3831,7 @@ packages:
|
||||
|
||||
/asynckit@0.4.0:
|
||||
resolution: {integrity: sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q==}
|
||||
dev: false
|
||||
|
||||
/available-typed-arrays@1.0.5:
|
||||
resolution: {integrity: sha512-DMD0KiN46eipeziST1LPP/STfDU0sufISXmjSgvVsoU2tqxctQeASejWcfNtxYKqETM1UxQ8sp2OrSBWpHY6sw==}
|
||||
@@ -4229,6 +4222,7 @@ packages:
|
||||
engines: {node: '>= 0.8'}
|
||||
dependencies:
|
||||
delayed-stream: 1.0.0
|
||||
dev: false
|
||||
|
||||
/comma-separated-tokens@1.0.8:
|
||||
resolution: {integrity: sha512-GHuDRO12Sypu2cV70d1dkA2EUmXHgntrzbpvOB+Qy+49ypNfGgFQIC2fhhXbnyrJRynDCAARsT7Ou0M6hirpfw==}
|
||||
@@ -4513,6 +4507,11 @@ packages:
|
||||
assert-plus: 1.0.0
|
||||
dev: false
|
||||
|
||||
/data-uri-to-buffer@4.0.1:
|
||||
resolution: {integrity: sha512-0R9ikRb668HB7QDxT1vkpuUBtqc53YyAwMwGeUFKRojY/NWKvdZ+9UYtRfGmhqNbRkTSVpMbmyhXipFFv2cb/A==}
|
||||
engines: {node: '>= 12'}
|
||||
dev: false
|
||||
|
||||
/date-fns@2.30.0:
|
||||
resolution: {integrity: sha512-fnULvOpxnC5/Vg3NCiWelDsLiUc9bRwAPs/+LfTLNvetFCtCTN+yQz15C/fs4AwX1R9K5GLtLfn8QW+dWisaAw==}
|
||||
engines: {node: '>=0.11'}
|
||||
@@ -4596,6 +4595,7 @@ packages:
|
||||
/delayed-stream@1.0.0:
|
||||
resolution: {integrity: sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==}
|
||||
engines: {node: '>=0.4.0'}
|
||||
dev: false
|
||||
|
||||
/depd@1.1.2:
|
||||
resolution: {integrity: sha512-7emPTl6Dpo6JRXOXjLRxck+FlLRX5847cLKEn00PLAgc3g2hTZZgr+e4c2v6QpSmLeFP3n5yUo7ft6avBK/5jQ==}
|
||||
@@ -4729,12 +4729,6 @@ packages:
|
||||
engines: {node: '>= 0.8'}
|
||||
dev: false
|
||||
|
||||
/encoding@0.1.13:
|
||||
resolution: {integrity: sha512-ETBauow1T35Y/WZMkio9jiM0Z5xjHHmJ4XmjZOq1l/dXz3lr2sRn87nJy20RupqSh1F2m3HHPSp8ShIPQJrJ3A==}
|
||||
dependencies:
|
||||
iconv-lite: 0.6.3
|
||||
dev: false
|
||||
|
||||
/engine.io-client@6.5.2:
|
||||
resolution: {integrity: sha512-CQZqbrpEYnrpGqC07a9dJDz4gePZUgTPMU3NKJPSeQOyw27Tst4Pl3FemKoFGAlHzgZmKjoRmiJvbWfhCXUlIg==}
|
||||
dependencies:
|
||||
@@ -5405,6 +5399,14 @@ packages:
|
||||
format: 0.2.2
|
||||
dev: false
|
||||
|
||||
/fetch-blob@3.2.0:
|
||||
resolution: {integrity: sha512-7yAQpD2UMJzLi1Dqv7qFYnPbaPx7ZfFK6PiIxQ4PfkGPyNyl2Ugx+a/umUonmKqjhM4DnfbMvdX6otXq83soQQ==}
|
||||
engines: {node: ^12.20 || >= 14.13}
|
||||
dependencies:
|
||||
node-domexception: 1.0.0
|
||||
web-streams-polyfill: 3.2.1
|
||||
dev: false
|
||||
|
||||
/fflate@0.4.8:
|
||||
resolution: {integrity: sha512-FJqqoDBR00Mdj9ppamLa/Y7vxm+PRmNWA67N846RvsoYVMKB4q3y/de5PA7gUmRMYK/8CMz2GDZQmCRN1wBcWA==}
|
||||
dev: false
|
||||
@@ -5520,6 +5522,7 @@ packages:
|
||||
asynckit: 0.4.0
|
||||
combined-stream: 1.0.8
|
||||
mime-types: 2.1.35
|
||||
dev: false
|
||||
|
||||
/form-data@4.0.0:
|
||||
resolution: {integrity: sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==}
|
||||
@@ -5543,6 +5546,13 @@ packages:
|
||||
web-streams-polyfill: 4.0.0-beta.3
|
||||
dev: false
|
||||
|
||||
/formdata-polyfill@4.0.10:
|
||||
resolution: {integrity: sha512-buewHzMvYL29jdeQTVILecSaZKnt/RJWjoZCF5OW60Z67/GmSLBkOFM7qh1PI3zFNtJbaZL5eQu1vLfazOwj4g==}
|
||||
engines: {node: '>=12.20.0'}
|
||||
dependencies:
|
||||
fetch-blob: 3.2.0
|
||||
dev: false
|
||||
|
||||
/forwarded@0.2.0:
|
||||
resolution: {integrity: sha512-buRG0fpBtRHSTCOASe6hD258tEubFoRLb4ZNA6NxMVHNw2gOcwHo9wyablzMzOA5z9xA9L1KNjk/Nt6MT9aYow==}
|
||||
engines: {node: '>= 0.6'}
|
||||
@@ -5945,10 +5955,6 @@ packages:
|
||||
- supports-color
|
||||
dev: false
|
||||
|
||||
/human-id@4.0.0:
|
||||
resolution: {integrity: sha512-pui0xZRgeAlaRt0I9r8N2pNlbNmluvn71EfjKRpM7jOpZbuHe5mm76r67gcprjw/Nd+GpvB9C3OlTbh7ZKLg7A==}
|
||||
dev: false
|
||||
|
||||
/humanize-ms@1.2.1:
|
||||
resolution: {integrity: sha512-Fl70vYtsAFb/C06PTS9dZBo7ihau+Tu/DNCk/OyHhea07S+aeMWpFFkUaXRa8fI+ScZbEI8dfSxwY7gxZ9SAVQ==}
|
||||
dependencies:
|
||||
@@ -5962,13 +5968,6 @@ packages:
|
||||
safer-buffer: 2.1.2
|
||||
dev: false
|
||||
|
||||
/iconv-lite@0.6.3:
|
||||
resolution: {integrity: sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw==}
|
||||
engines: {node: '>=0.10.0'}
|
||||
dependencies:
|
||||
safer-buffer: 2.1.2
|
||||
dev: false
|
||||
|
||||
/ignore@5.2.4:
|
||||
resolution: {integrity: sha512-MAb38BcSbH0eHNBxn7ql2NH/kX33OkB3lZ1BNdh7ENeRChHTYsTvWrMubiIAMNS2llXEEgZ1MUOBtXChP3kaFQ==}
|
||||
engines: {node: '>= 4'}
|
||||
@@ -6260,7 +6259,7 @@ packages:
|
||||
resolution: {integrity: sha512-7vuh85V5cdDofPyxn58nrPjBktZo0u9x1g8WtjQol+jZDaE+fhN+cIvTj11GndBnMnyfrUOG1sZQxCdjKh+DKg==}
|
||||
engines: {node: '>= 10.13.0'}
|
||||
dependencies:
|
||||
'@types/node': 20.4.10
|
||||
'@types/node': 18.16.0
|
||||
merge-stream: 2.0.0
|
||||
supports-color: 8.1.1
|
||||
|
||||
@@ -6860,7 +6859,7 @@ packages:
|
||||
engines: {node: '>=10.5.0'}
|
||||
dev: false
|
||||
|
||||
/node-fetch@2.6.12(encoding@0.1.13):
|
||||
/node-fetch@2.6.12:
|
||||
resolution: {integrity: sha512-C/fGU2E8ToujUivIO0H+tpQ6HWo4eEmchoPIoXtxCrVghxdKq+QOHqEZW7tuP3KlV3bC8FRMO5nMCC7Zm1VP6g==}
|
||||
engines: {node: 4.x || >=6.0.0}
|
||||
peerDependencies:
|
||||
@@ -6869,10 +6868,18 @@ packages:
|
||||
encoding:
|
||||
optional: true
|
||||
dependencies:
|
||||
encoding: 0.1.13
|
||||
whatwg-url: 5.0.0
|
||||
dev: false
|
||||
|
||||
/node-fetch@3.3.2:
|
||||
resolution: {integrity: sha512-dRB78srN/l6gqWulah9SrxeYnxeddIG30+GOqK/9OlLVyLg3HPnr6SqOWTWOXKRwC2eGYCkZ59NNuSgvSrpgOA==}
|
||||
engines: {node: ^12.20.0 || ^14.13.1 || >=16.0.0}
|
||||
dependencies:
|
||||
data-uri-to-buffer: 4.0.1
|
||||
fetch-blob: 3.2.0
|
||||
formdata-polyfill: 4.0.10
|
||||
dev: false
|
||||
|
||||
/node-mocks-http@1.12.2:
|
||||
resolution: {integrity: sha512-xhWwC0dh35R9rf0j3bRZXuISXdHxxtMx0ywZQBwjrg3yl7KpRETzogfeCamUIjltpn0Fxvs/ZhGJul1vPLrdJQ==}
|
||||
engines: {node: '>=0.6'}
|
||||
@@ -7020,7 +7027,7 @@ packages:
|
||||
- debug
|
||||
dev: false
|
||||
|
||||
/openai@4.0.0-beta.7(encoding@0.1.13):
|
||||
/openai@4.0.0-beta.7:
|
||||
resolution: {integrity: sha512-jHjwvpMuGkNxiQ3erwLZsOvPEhcVrMtwtfNeYmGCjhbdB+oStVw/7pIhIPkualu8rlhLwgMR7awknIaN3IQcOA==}
|
||||
dependencies:
|
||||
'@types/node': 18.16.0
|
||||
@@ -7030,7 +7037,7 @@ packages:
|
||||
digest-fetch: 1.3.0
|
||||
form-data-encoder: 1.7.2
|
||||
formdata-node: 4.4.1
|
||||
node-fetch: 2.6.12(encoding@0.1.13)
|
||||
node-fetch: 2.6.12
|
||||
transitivePeerDependencies:
|
||||
- encoding
|
||||
dev: false
|
||||
@@ -9130,6 +9137,11 @@ packages:
|
||||
glob-to-regexp: 0.4.1
|
||||
graceful-fs: 4.2.11
|
||||
|
||||
/web-streams-polyfill@3.2.1:
|
||||
resolution: {integrity: sha512-e0MO3wdXWKrLbL0DgGnUV7WHVuw9OUvL4hjgnPkIeEvESk74gAITi5G606JtZPp39cd8HA9VQzCIvA49LpPN5Q==}
|
||||
engines: {node: '>= 8'}
|
||||
dev: false
|
||||
|
||||
/web-streams-polyfill@4.0.0-beta.3:
|
||||
resolution: {integrity: sha512-QW95TCTaHmsYfHDybGMwO5IJIM93I/6vTRk+daHTWFPhwh+C8Cg7j7XyKrwrj8Ib6vYXe0ocYNrmzY4xAAN6ug==}
|
||||
engines: {node: '>= 14'}
|
||||
|
||||
26
render.yaml
26
render.yaml
@@ -2,23 +2,27 @@ databases:
|
||||
- name: querykey-prod
|
||||
databaseName: querykey_prod
|
||||
user: querykey
|
||||
plan: standard
|
||||
plan: starter
|
||||
|
||||
services:
|
||||
- type: web
|
||||
name: querykey-prod-web
|
||||
runtime: docker
|
||||
env: docker
|
||||
dockerfilePath: ./app/Dockerfile
|
||||
dockerContext: .
|
||||
plan: pro
|
||||
plan: standard
|
||||
domains:
|
||||
- app.openpipe.ai
|
||||
envVars:
|
||||
- key: NODE_ENV
|
||||
value: production
|
||||
- key: DATABASE_URL
|
||||
fromDatabase:
|
||||
name: querykey-prod
|
||||
property: connectionString
|
||||
- fromGroup: querykey-prod
|
||||
- key: NEXT_PUBLIC_SOCKET_URL
|
||||
value: https://querykey-prod-wss.onrender.com
|
||||
# Render support says we need to manually set this because otherwise
|
||||
# sometimes it checks a different random port that NextJS opens for
|
||||
# liveness and the liveness check fails.
|
||||
@@ -27,22 +31,8 @@ services:
|
||||
|
||||
- type: web
|
||||
name: querykey-prod-wss
|
||||
runtime: docker
|
||||
env: docker
|
||||
dockerfilePath: ./app/Dockerfile
|
||||
dockerContext: .
|
||||
plan: free
|
||||
dockerCommand: pnpm tsx src/wss-server.ts
|
||||
|
||||
- type: worker
|
||||
name: querykey-prod-worker
|
||||
runtime: docker
|
||||
dockerfilePath: ./app/Dockerfile
|
||||
dockerContext: .
|
||||
plan: pro
|
||||
dockerCommand: /code/app/scripts/run-workers-prod.sh
|
||||
envVars:
|
||||
- key: DATABASE_URL
|
||||
fromDatabase:
|
||||
name: querykey-prod
|
||||
property: connectionString
|
||||
- fromGroup: querykey-prod
|
||||
|
||||
Reference in New Issue
Block a user