Record updated version number

* Remove mission text

* Change wording

* Add link to Read the Docs

* Add links to docs in empty log tables

* Remove beta block from Dashboard and Request Logs

* Make ActionButton onClick optional

.github/ISSUE_TEMPLATE/sweep-fast-template.yml

@@ -0,0 +1,14 @@
+name: Sweep Fast Issue
+title: 'Sweep (fast): '
+description: For few-line fixes to be handled by Sweep, an AI-powered junior developer. Sweep will use GPT-3.5 to quickly create a PR for very small changes.
+labels: sweep
+body:
+  - type: textarea
+    id: description
+    attributes:
+      label: Details
+      description: Tell Sweep where and what to edit and provide enough context for a new developer to the codebase
+      placeholder: |
+        Bugs: The bug might be in ... file. Here are the logs: ...
+        Features: the new endpoint should use the ... class from ... file because it contains ... logic.
+        Refactors: We are migrating this function to ... version because ...

.github/ISSUE_TEMPLATE/sweep-slow-template.yml

@@ -0,0 +1,14 @@
+name: Sweep Slow Issue
+title: 'Sweep (slow): '
+description: For larger bugs, features, refactors, and tests to be handled by Sweep, an AI-powered junior developer. Sweep will perform a deeper search and more self-reviews but will take longer.
+labels: sweep
+body:
+  - type: textarea
+    id: description
+    attributes:
+      label: Details
+      description: Tell Sweep where and what to edit and provide enough context for a new developer to the codebase
+      placeholder: |
+        Bugs: The bug might be in ... file. Here are the logs: ...
+        Features: the new endpoint should use the ... class from ... file because it contains ... logic.
+        Refactors: We are migrating this function to ... version because ...

.github/ISSUE_TEMPLATE/sweep-template.yml

@@ -0,0 +1,14 @@
+name: Sweep Issue
+title: 'Sweep: '
+description: For small bugs, features, refactors, and tests to be handled by Sweep, an AI-powered junior developer.
+labels: sweep
+body:
+  - type: textarea
+    id: description
+    attributes:
+      label: Details
+      description: Tell Sweep where and what to edit and provide enough context for a new developer to the codebase
+      placeholder: |
+        Bugs: The bug might be in ... file. Here are the logs: ...
+        Features: the new endpoint should use the ... class from ... file because it contains ... logic.
+        Refactors: We are migrating this function to ... version because ...

.gitignore

@@ -3,3 +3,4 @@
 *.pyc
 node_modules/
 *.tsbuildinfo
+dist/

README.md

@@ -1,16 +1,53 @@
-<!-- <img src="https://github.com/openpipe/openpipe/assets/41524992/ca59596e-eb80-40f9-921f-6d67f6e6d8fa" width="72px" /> -->
+ <p align="center">
+  <a href="https://openpipe.ai">
+    <img height="70" src="https://github.com/openpipe/openpipe/assets/41524992/70af25fb-1f90-42d9-8a20-3606e3b5aaba" alt="logo">
+  </a>
+</p>
+<h1 align="center">
+  OpenPipe
+</h1>
 
-# OpenPipe
+<p align="center">
+  <i>Turn expensive prompts into cheap fine-tuned models.</i>
+</p>
 
-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.
+<p align="center">
+  <a href="/LICENSE"><img alt="License Apache-2.0" src="https://img.shields.io/github/license/openpipe/openpipe?style=flat-square"></a>
+  <a href='http://makeapullrequest.com'><img alt='PRs Welcome' src='https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square'/></a>
+  <a href="https://github.com/openpipe/openpipe/graphs/commit-activity"><img alt="GitHub commit activity" src="https://img.shields.io/github/commit-activity/m/openpipe/openpipe?style=flat-square"/></a>
+  <a href="https://github.com/openpipe/openpipe/issues"><img alt="GitHub closed issues" src="https://img.shields.io/github/issues-closed/openpipe/openpipe?style=flat-square"/></a>
+ <img src="https://img.shields.io/badge/Y%20Combinator-S23-orange?style=flat-square" alt="Y Combinator S23">
+</p>
 
-<img src="https://github.com/openpipe/openpipe/assets/41524992/219a844e-3f4e-4f6b-8066-41348b42977b" alt="demo">
+<p align="center">
+  <a href="https://app.openpipe.ai/">Hosted App</a> - <a href="#running-locally">Running Locally</a> - <a href="#sample-experiments">Experiments</a>
+</p>
+
+<br>
+Use powerful but expensive LLMs to fine-tune smaller and cheaper models suited to your exact needs. Evaluate model and prompt combinations in the playground. Query your past requests and export optimized training data. Try it out at https://app.openpipe.ai or <a href="#running-locally">run it locally</a>.
+<br>
+
+
+## Features
+
+ * <b>Experiment</b>
+   * Bulk-test wide-reaching scenarios using code templating.
+   * Seamlessly translate prompts across different model APIs.
+   * Tap into autogenerated scenarios for fresh test perspectives.
+
+ * <b>Fine-Tune (Beta)</b>
+   * Easy integration with OpenPipe's SDK in both Python and JS.
+   * Swiftly query logs using intuitive built-in filters.
+   * Export data in multiple training formats, including Alpaca and ChatGPT, with deduplication.
+   
+<img src="https://github.com/openpipe/openpipe/assets/41524992/eaa8b92d-4536-4f63-bbef-4b0b1a60f6b5" alt="fine-tune demo">
+
+<!-- <img height="400px" src="https://github.com/openpipe/openpipe/assets/41524992/66bb1843-cb72-4130-a369-eec2df3b8201" alt="playground 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).
 
 ## Sample Experiments
 
-These are simple experiments users have created that show how OpenPipe works. Feel free to fork them and start experimenting yourself.
+These are sample experiments users have created that show how OpenPipe works. Feel free to fork them and start experimenting yourself.
 
 - [Twitter Sentiment Analysis](https://app.openpipe.ai/experiments/62c20a73-2012-4a64-973c-4b665ad46a57)
 - [Reddit User Needs](https://app.openpipe.ai/experiments/22222222-2222-2222-2222-222222222222)
@@ -19,43 +56,25 @@ These are simple experiments users have created that show how OpenPipe works. Fe
 
 ## Supported Models
 
-- All models available through the OpenAI [chat completion API](https://platform.openai.com/docs/guides/gpt/chat-completions-api)
-- Llama2 [7b chat](https://replicate.com/a16z-infra/llama7b-v2-chat), [13b chat](https://replicate.com/a16z-infra/llama13b-v2-chat), [70b chat](https://replicate.com/replicate/llama70b-v2-chat).
-- Anthropic's [Claude 1 Instant](https://www.anthropic.com/index/introducing-claude) and [Claude 2](https://www.anthropic.com/index/claude-2)
-
-## Features
-
-### 🔍 Visualize Responses
-
-Inspect prompt completions side-by-side.
-
-### 🧪 Bulk-Test
-
-OpenPipe lets you _template_ a prompt. Use the templating feature to run the prompts you're testing against many potential inputs for broad coverage of your problem space.
-
-### 📟 Translate between Model APIs
-
-Write your prompt in one format and automatically convert it to work with any other model.
-
-<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">
-
-<br><br>
-
-### 🛠️ Refine Your Prompts Automatically
-
-Use a growing database of best-practice refinements to improve your prompts automatically.
-
-<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">
-
-<br><br>
-
-### 🪄 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">
-
-<br><br>
+#### OpenAI
+  - [GPT 3.5 Turbo](https://platform.openai.com/docs/guides/gpt/chat-completions-api)
+  - [GPT 3.5 Turbo 16k](https://platform.openai.com/docs/guides/gpt/chat-completions-api)
+  - [GPT 4](https://openai.com/gpt-4)
+#### Llama2
+  - [7b chat](https://replicate.com/a16z-infra/llama7b-v2-chat)
+  - [13b chat](https://replicate.com/a16z-infra/llama13b-v2-chat)
+  - [70b chat](https://replicate.com/replicate/llama70b-v2-chat)
+#### Llama2 Fine-Tunes
+  - [Open-Orca/OpenOrcaxOpenChat-Preview2-13B](https://huggingface.co/Open-Orca/OpenOrcaxOpenChat-Preview2-13B)
+  - [Open-Orca/OpenOrca-Platypus2-13B](https://huggingface.co/Open-Orca/OpenOrca-Platypus2-13B)
+  - [NousResearch/Nous-Hermes-Llama2-13b](https://huggingface.co/NousResearch/Nous-Hermes-Llama2-13b)
+  - [jondurbin/airoboros-l2-13b-gpt4-2.0](https://huggingface.co/jondurbin/airoboros-l2-13b-gpt4-2.0)
+  - [lmsys/vicuna-13b-v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5)
+  - [Gryphe/MythoMax-L2-13b](https://huggingface.co/Gryphe/MythoMax-L2-13b)
+  - [NousResearch/Nous-Hermes-llama-2-7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b)
+#### Anthropic
+  - [Claude 1 Instant](https://www.anthropic.com/index/introducing-claude)
+  - [Claude 2](https://www.anthropic.com/index/claude-2)
 
 ## Running Locally
 

app/@types/nextjs-routes.d.ts

@@ -19,10 +19,9 @@ 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">

app/Dockerfile

@@ -23,7 +23,6 @@ ARG NEXT_PUBLIC_SOCKET_URL
 ARG NEXT_PUBLIC_HOST
 ARG NEXT_PUBLIC_SENTRY_DSN
 ARG SENTRY_AUTH_TOKEN
-ARG NEXT_PUBLIC_FF_SHOW_LOGGED_CALLS
 
 WORKDIR /code
 COPY --from=deps /code/node_modules ./node_modules
@@ -45,4 +44,4 @@ EXPOSE 3000
 ENV PORT 3000
 
 # Run the "run-prod.sh" script
-CMD /code/app/run-prod.sh
+CMD /code/app/scripts/run-prod.sh

app/package.json

@@ -12,8 +12,8 @@
     "build": "next build",
     "dev:next": "TZ=UTC next dev",
     "dev:wss": "pnpm tsx --watch src/wss-server.ts",
-    "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'",
+    "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'",
     "postinstall": "prisma generate",
     "lint": "next lint",
     "start": "TZ=UTC next start",
@@ -48,6 +48,7 @@
     "@trpc/react-query": "^10.26.0",
     "@trpc/server": "^10.26.0",
     "@vercel/og": "^0.5.9",
+    "archiver": "^6.0.0",
     "ast-types": "^0.14.2",
     "chroma-js": "^2.4.2",
     "concurrently": "^8.2.0",
@@ -60,6 +61,7 @@
     "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",
@@ -77,7 +79,8 @@
     "nextjs-routes": "^2.0.1",
     "nodemailer": "^6.9.4",
     "openai": "4.0.0-beta.7",
-    "openpipe": "workspace:*",
+    "openpipe": "^0.3.0",
+    "openpipe-dev": "workspace:^",
     "pg": "^8.11.2",
     "pluralize": "^8.0.0",
     "posthog-js": "^1.75.3",
@@ -98,6 +101,7 @@
     "replicate": "^0.12.3",
     "socket.io": "^4.7.1",
     "socket.io-client": "^4.7.1",
+    "stream-buffers": "^3.0.2",
     "superjson": "1.12.2",
     "trpc-openapi": "^1.2.0",
     "tsx": "^3.12.7",
@@ -110,6 +114,7 @@
   },
   "devDependencies": {
     "@openapi-contrib/openapi-schema-to-json-schema": "^4.0.5",
+    "@types/archiver": "^5.3.2",
     "@types/babel__core": "^7.20.1",
     "@types/babel__standalone": "^7.1.4",
     "@types/chroma-js": "^2.4.0",
@@ -126,6 +131,7 @@
     "@types/react": "^18.2.6",
     "@types/react-dom": "^18.2.4",
     "@types/react-syntax-highlighter": "^15.5.7",
+    "@types/stream-buffers": "^3.0.4",
     "@types/uuid": "^9.0.2",
     "@typescript-eslint/eslint-plugin": "^5.59.6",
     "@typescript-eslint/parser": "^5.59.6",

app/prisma/deleteOneFineTune.ts

@@ -0,0 +1,12 @@
+import { prisma } from "~/server/db";
+
+// delete most recent fineTune
+const mostRecentFineTune = await prisma.fineTune.findFirst({
+  orderBy: { createdAt: "desc" },
+});
+
+if (mostRecentFineTune) {
+  await prisma.fineTune.delete({
+    where: { id: mostRecentFineTune.id },
+  });
+}

app/prisma/migrations/20230822234224_add_fine_tunes/migration.sql

@@ -0,0 +1,48 @@
+/*
+  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;

app/prisma/schema.prisma

@@ -181,6 +181,7 @@ model Dataset {
 
     name           String
     datasetEntries DatasetEntry[]
+    fineTunes      FineTune[]
 
     projectId String  @db.Uuid
     project   Project @relation(fields: [projectId], references: [id], onDelete: Cascade)
@@ -192,8 +193,8 @@ model Dataset {
 model DatasetEntry {
     id String @id @default(uuid()) @db.Uuid
 
-    input  String
-    output String?
+    loggedCallId String @db.Uuid
+    loggedCall   LoggedCall @relation(fields: [loggedCallId], references: [id], onDelete: Cascade)
 
     datasetId String   @db.Uuid
     dataset   Dataset? @relation(fields: [datasetId], references: [id], onDelete: Cascade)
@@ -216,6 +217,7 @@ model Project {
     experiments            Experiment[]
     datasets               Dataset[]
     loggedCalls            LoggedCall[]
+    fineTunes              FineTune[]
     apiKeys                ApiKey[]
 }
 
@@ -278,6 +280,7 @@ model LoggedCall {
 
     model           String?
     tags            LoggedCallTag[]
+    datasetEntries  DatasetEntry[]
 
     createdAt DateTime @default(now())
     updatedAt DateTime @updatedAt
@@ -312,7 +315,7 @@ model LoggedCallModelResponse {
     outputTokens Int?
     finishReason String?
     completionId String?
-    cost         Decimal? @db.Decimal(18, 12)
+    cost         Float?
 
     // The LoggedCall that created this LoggedCallModelResponse
     originalLoggedCallId String     @unique @db.Uuid
@@ -427,3 +430,33 @@ 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
+}

app/prisma/seedDashboard.ts

@@ -80,7 +80,7 @@ const MODEL_RESPONSE_TEMPLATES: {
     },
     respStatus: 200,
     respPayload: {
-      id: "chatcmpl-7lNspqePJWVyXwXebupxb1eMozo6Q",
+      id: "chatcmpl-7",
       model: "gpt-3.5-turbo-0613",
       usage: {
         total_tokens: 241,
@@ -108,7 +108,7 @@ const MODEL_RESPONSE_TEMPLATES: {
     inputTokens: 236,
     outputTokens: 5,
     finishReason: "stop",
-    tags: [],
+    tags: [{ name: "prompt_id", value: "define_func" }],
   },
   {
     reqPayload: {
@@ -167,7 +167,7 @@ const MODEL_RESPONSE_TEMPLATES: {
     },
     respStatus: 200,
     respPayload: {
-      id: "chatcmpl-7lNifmc5AncyAvleZRDBhAcLFYBIT",
+      id: "chatcmpl-7",
       model: "gpt-3.5-turbo-0613",
       usage: {
         total_tokens: 227,
@@ -210,7 +210,7 @@ const MODEL_RESPONSE_TEMPLATES: {
     },
     respStatus: 200,
     respPayload: {
-      id: "chatcmpl-7lNh1TtrsJVgz3Nj70bKkZZk7xPi7",
+      id: "chatcmpl-7",
       model: "gpt-3.5-turbo-0613",
       usage: {
         total_tokens: 21,
@@ -234,7 +234,7 @@ const MODEL_RESPONSE_TEMPLATES: {
     inputTokens: 14,
     outputTokens: 7,
     finishReason: "stop",
-    tags: [{ name: "prompt_id", value: "id2" }],
+    tags: [{ name: "prompt_id", value: "translate_text" }],
   },
   {
     reqPayload: {
@@ -281,7 +281,7 @@ const MODEL_RESPONSE_TEMPLATES: {
     },
     respStatus: 200,
     respPayload: {
-      id: "chatcmpl-7lQS3MktOT8BTgNEytl9dkyssCQqL",
+      id: "chatcmpl-7",
       model: "gpt-4-0613",
       usage: {
         total_tokens: 2910,
@@ -311,7 +311,7 @@ const MODEL_RESPONSE_TEMPLATES: {
     outputTokens: 108,
     finishReason: "stop",
     tags: [
-      { name: "prompt_id", value: "chatcmpl-7lQS3MktOT8BTgNEytl9dkyssCQqL" },
+      { name: "prompt_id", value: "chatcmpl-7" },
       { name: "some_other_tag", value: "some_other_value" },
     ],
   },
@@ -339,7 +339,7 @@ const loggedCallsToCreate: Prisma.LoggedCallCreateManyInput[] = [];
 const loggedCallModelResponsesToCreate: Prisma.LoggedCallModelResponseCreateManyInput[] = [];
 const loggedCallsToUpdate: Prisma.LoggedCallUpdateArgs[] = [];
 const loggedCallTagsToCreate: Prisma.LoggedCallTagCreateManyInput[] = [];
-for (let i = 0; i < 1437; i++) {
+for (let i = 0; i < 11437; i++) {
   const loggedCallId = uuidv4();
   const loggedCallModelResponseId = uuidv4();
   const template =

app/scripts/debug-prod.sh

@@ -0,0 +1,6 @@
+#! /bin/bash
+
+set -e
+cd "$(dirname "$0")/.."
+apt-get update
+apt-get install -y htop psql

app/scripts/run-workers-prod.sh

@@ -0,0 +1,10 @@
+#! /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"

app/scripts/test-docker.sh

@@ -0,0 +1,13 @@
+#! /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"

app/sentry.server.config.ts

@@ -3,6 +3,7 @@
 // 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) {
@@ -15,4 +16,10 @@ 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);
+  });
 }

app/src/components/BetaModal.tsx

@@ -0,0 +1,65 @@
+import {
+  Button,
+  Modal,
+  ModalBody,
+  ModalContent,
+  ModalFooter,
+  ModalHeader,
+  ModalOverlay,
+  VStack,
+  Text,
+  HStack,
+  Icon,
+  Link,
+} from "@chakra-ui/react";
+import { BsStars } from "react-icons/bs";
+import { useSession } from "next-auth/react";
+
+export const BetaModal = ({ isOpen, onClose }: { isOpen: boolean; onClose: () => void }) => {
+  const session = useSession();
+
+  const email = session.data?.user.email ?? "";
+
+  return (
+    <Modal
+      isOpen={isOpen}
+      onClose={onClose}
+      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={onClose}>
+              Done
+            </Button>
+          </HStack>
+        </ModalFooter>
+      </ModalContent>
+    </Modal>
+  );
+};

app/src/components/ChangeModelModal/ChangeModelModal.tsx

@@ -1,3 +1,4 @@
+import { useState, useMemo, useCallback } from "react";
 import {
   Button,
   HStack,
@@ -14,16 +15,18 @@ import {
   VStack,
 } from "@chakra-ui/react";
 import { type PromptVariant } from "@prisma/client";
-import { isObject, isString } from "lodash-es";
-import { useState } from "react";
+import { isString } from "lodash-es";
 import { RiExchangeFundsFill } from "react-icons/ri";
+
 import { type ProviderModel } from "~/modelProviders/types";
 import { api } from "~/utils/api";
-import { useExperiment, useHandledAsyncCallback, useVisibleScenarioIds } from "~/utils/hooks";
+import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
 import { lookupModel, modelLabel } from "~/utils/utils";
 import CompareFunctions from "../RefinePromptModal/CompareFunctions";
 import { ModelSearch } from "./ModelSearch";
 import { ModelStatsCard } from "./ModelStatsCard";
+import { maybeReportError } from "~/utils/errorHandling/maybeReportError";
+import { useAppStore } from "~/state/store";
 
 export const ChangeModelModal = ({
   variant,
@@ -32,48 +35,43 @@ export const ChangeModelModal = ({
   variant: PromptVariant;
   onClose: () => void;
 }) => {
+  const editorOptionsMap = useAppStore((s) => s.sharedVariantEditor.editorOptionsMap);
+  const originalPromptFn = useMemo(
+    () => editorOptionsMap[variant.uiId]?.getContent() || "",
+    [editorOptionsMap, variant.uiId],
+  );
+
   const originalModel = lookupModel(variant.modelProvider, variant.model);
   const [selectedModel, setSelectedModel] = useState({
     provider: variant.modelProvider,
     model: variant.model,
   } as ProviderModel);
   const [convertedModel, setConvertedModel] = useState<ProviderModel | undefined>();
-  const visibleScenarios = useVisibleScenarioIds();
-
-  const utils = api.useContext();
+  const [modifiedPromptFn, setModifiedPromptFn] = useState<string>();
 
   const experiment = useExperiment();
 
-  const { mutateAsync: getModifiedPromptMutateAsync, data: modifiedPromptFn } =
+  const { mutateAsync: getModifiedPromptMutateAsync } =
     api.promptVariants.getModifiedPromptFn.useMutation();
 
   const [getModifiedPromptFn, modificationInProgress] = useHandledAsyncCallback(async () => {
     if (!experiment) return;
 
-    await getModifiedPromptMutateAsync({
+    const resp = await getModifiedPromptMutateAsync({
       id: variant.id,
+      originalPromptFn,
       newModel: selectedModel,
     });
+    if (maybeReportError(resp)) return;
+    setModifiedPromptFn(resp.payload);
     setConvertedModel(selectedModel);
   }, [getModifiedPromptMutateAsync, onClose, experiment, variant, selectedModel]);
 
-  const replaceVariantMutation = api.promptVariants.replaceVariant.useMutation();
-
-  const [replaceVariant, replacementInProgress] = useHandledAsyncCallback(async () => {
-    if (
-      !variant.experimentId ||
-      !modifiedPromptFn ||
-      (isObject(modifiedPromptFn) && "status" in modifiedPromptFn)
-    )
-      return;
-    await replaceVariantMutation.mutateAsync({
-      id: variant.id,
-      promptConstructor: modifiedPromptFn,
-      streamScenarios: visibleScenarios,
-    });
-    await utils.promptVariants.list.invalidate();
+  const replaceVariant = useCallback(() => {
+    if (!modifiedPromptFn) return;
+    editorOptionsMap[variant.uiId]?.setContent(modifiedPromptFn);
     onClose();
-  }, [replaceVariantMutation, variant, onClose, modifiedPromptFn]);
+  }, [variant.uiId, editorOptionsMap, onClose, modifiedPromptFn]);
 
   const originalLabel = modelLabel(variant.modelProvider, variant.model);
   const selectedLabel = modelLabel(selectedModel.provider, selectedModel.model);
@@ -130,9 +128,9 @@ export const ChangeModelModal = ({
               colorScheme="blue"
               onClick={replaceVariant}
               minW={24}
-              isDisabled={!convertedModel || modificationInProgress || replacementInProgress}
+              isDisabled={!convertedModel || modificationInProgress}
             >
-              {replacementInProgress ? <Spinner boxSize={4} /> : <Text>Accept</Text>}
+              Accept
             </Button>
           </HStack>
         </ModalFooter>

app/src/components/ExperimentSettingsDrawer/DeleteButton.tsx

@@ -1,74 +1,41 @@
-import {
-  Button,
-  Icon,
-  AlertDialog,
-  AlertDialogBody,
-  AlertDialogFooter,
-  AlertDialogHeader,
-  AlertDialogContent,
-  AlertDialogOverlay,
-  useDisclosure,
-  Text,
-} from "@chakra-ui/react";
-
+import { Button, Icon, useDisclosure, Text } from "@chakra-ui/react";
 import { useRouter } from "next/router";
-import { useRef } from "react";
 import { BsTrash } from "react-icons/bs";
+
 import { useAppStore } from "~/state/store";
-import { api } from "~/utils/api";
 import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
+import DeleteExperimentDialog from "../experiments/DeleteExperimentDialog";
 
 export const DeleteButton = () => {
   const experiment = useExperiment();
-  const mutation = api.experiments.delete.useMutation();
-  const utils = api.useContext();
   const router = useRouter();
 
+  const disclosure = useDisclosure();
+
   const closeDrawer = useAppStore((s) => s.closeDrawer);
-
-  const { isOpen, onOpen, onClose } = useDisclosure();
-  const cancelRef = useRef<HTMLButtonElement>(null);
-
-  const [onDeleteConfirm] = useHandledAsyncCallback(async () => {
-    if (!experiment.data?.id) return;
-    await mutation.mutateAsync({ id: experiment.data.id });
-    await utils.experiments.list.invalidate();
+  const [onDelete] = useHandledAsyncCallback(async () => {
     await router.push({ pathname: "/experiments" });
     closeDrawer();
-
-    onClose();
-  }, [mutation, experiment.data?.id, router]);
+  }, [router, closeDrawer]);
 
   return (
     <>
-      <Button size="sm" variant="ghost" colorScheme="red" fontWeight="normal" onClick={onOpen}>
+      <Button
+        size="sm"
+        variant="ghost"
+        colorScheme="red"
+        fontWeight="normal"
+        onClick={disclosure.onOpen}
+      >
         <Icon as={BsTrash} boxSize={4} />
         <Text ml={2}>Delete Experiment</Text>
       </Button>
 
-      <AlertDialog isOpen={isOpen} leastDestructiveRef={cancelRef} onClose={onClose}>
-        <AlertDialogOverlay>
-          <AlertDialogContent>
-            <AlertDialogHeader fontSize="lg" fontWeight="bold">
-              Delete Experiment
-            </AlertDialogHeader>
-
-            <AlertDialogBody>
-              If you delete this experiment all the associated prompts and scenarios will be deleted
-              as well. Are you sure?
-            </AlertDialogBody>
-
-            <AlertDialogFooter>
-              <Button ref={cancelRef} onClick={onClose}>
-                Cancel
-              </Button>
-              <Button colorScheme="red" onClick={onDeleteConfirm} ml={3}>
-                Delete
-              </Button>
-            </AlertDialogFooter>
-          </AlertDialogContent>
-        </AlertDialogOverlay>
-      </AlertDialog>
+      <DeleteExperimentDialog
+        experimentId={experiment.data?.id}
+        onDelete={onDelete}
+        disclosure={disclosure}
+      />
     </>
   );
 };

app/src/components/InfoCircle.tsx

@@ -0,0 +1,14 @@
+import { Tooltip, Icon, VStack } from "@chakra-ui/react";
+import { RiInformationFill } from "react-icons/ri";
+
+const InfoCircle = ({ tooltipText }: { tooltipText: string }) => {
+  return (
+    <Tooltip label={tooltipText} fontSize="sm" shouldWrapChildren maxW={80}>
+      <VStack>
+        <Icon as={RiInformationFill} boxSize={5} color="gray.500" />
+      </VStack>
+    </Tooltip>
+  );
+};
+
+export default InfoCircle;

app/src/components/InputDropdown.tsx

@@ -11,6 +11,7 @@ import {
   Button,
   Text,
   useDisclosure,
+  type InputGroupProps,
 } from "@chakra-ui/react";
 
 import { FiChevronDown } from "react-icons/fi";
@@ -20,15 +21,25 @@ type InputDropdownProps<T> = {
   options: ReadonlyArray<T>;
   selectedOption: T;
   onSelect: (option: T) => void;
+  inputGroupProps?: InputGroupProps;
 };
 
-const InputDropdown = <T,>({ options, selectedOption, onSelect }: InputDropdownProps<T>) => {
+const InputDropdown = <T,>({
+  options,
+  selectedOption,
+  onSelect,
+  inputGroupProps,
+}: InputDropdownProps<T>) => {
   const popover = useDisclosure();
 
   return (
     <Popover placement="bottom-start" {...popover}>
       <PopoverTrigger>
-        <InputGroup cursor="pointer" w={(selectedOption as string).length * 14 + 180}>
+        <InputGroup
+          cursor="pointer"
+          w={(selectedOption as string).length * 14 + 180}
+          {...inputGroupProps}
+        >
           <Input
             value={selectedOption as string}
             // eslint-disable-next-line @typescript-eslint/no-empty-function -- controlled input requires onChange

app/src/components/OutputsTable/OutputCell/OutputCell.tsx

@@ -43,7 +43,7 @@ export default function OutputCell({
 
   type OutputSchema = Parameters<typeof provider.normalizeOutput>[0];
 
-  const { mutateAsync: hardRefetchMutate } = api.scenarioVariantCells.forceRefetch.useMutation();
+  const { mutateAsync: hardRefetchMutate } = api.scenarioVariantCells.hardRefetch.useMutation();
   const [hardRefetch, hardRefetching] = useHandledAsyncCallback(async () => {
     await hardRefetchMutate({ scenarioId: scenario.id, variantId: variant.id });
     await utils.scenarioVariantCells.get.invalidate({
@@ -147,9 +147,10 @@ export default function OutputCell({
                 <ResponseLog
                   time={response.receivedAt}
                   title="Response received from API"
-                  message={`statusCode: ${response.statusCode ?? ""}\n ${
-                    response.errorMessage ?? ""
-                  }`}
+                  message={[
+                    response.statusCode ? `Status: ${response.statusCode}\n` : "",
+                    response.errorMessage ?? "",
+                  ].join("")}
                 />
               )}
             </Fragment>

app/src/components/OutputsTable/VariantEditor.tsx

@@ -10,7 +10,7 @@ import {
 } from "@chakra-ui/react";
 import { useCallback, useEffect, useRef, useState } from "react";
 import { FiMaximize, FiMinimize } from "react-icons/fi";
-import { editorBackground } from "~/state/sharedVariantEditor.slice";
+import { type CreatedEditor, editorBackground } from "~/state/sharedVariantEditor.slice";
 import { useAppStore } from "~/state/store";
 import { api } from "~/utils/api";
 import {
@@ -24,8 +24,10 @@ import { type PromptVariant } from "./types";
 export default function VariantEditor(props: { variant: PromptVariant }) {
   const { canModify } = useExperimentAccess();
   const monaco = useAppStore.use.sharedVariantEditor.monaco();
-  const editorRef = useRef<ReturnType<NonNullable<typeof monaco>["editor"]["create"]> | null>(null);
+  const updateOptionsForEditor = useAppStore.use.sharedVariantEditor.updateOptionsForEditor();
+  const editorRef = useRef<CreatedEditor | null>(null);
   const containerRef = useRef<HTMLDivElement | null>(null);
+  const lastSavedFnRef = useRef(props.variant.promptConstructor);
   const [editorId] = useState(() => `editor_${Math.random().toString(36).substring(7)}`);
   const [isChanged, setIsChanged] = useState(false);
 
@@ -48,22 +50,18 @@ export default function VariantEditor(props: { variant: PromptVariant }) {
   }, [isFullscreen, toggleFullscreen]);
 
   const lastSavedFn = props.variant.promptConstructor;
+  useEffect(() => {
+    // Store in ref so that we can access it dynamically
+    lastSavedFnRef.current = lastSavedFn;
+  }, [lastSavedFn]);
 
   const modifierKey = useModifierKeyLabel();
 
   const checkForChanges = useCallback(() => {
     if (!editorRef.current) return;
     const currentFn = editorRef.current.getValue();
-    setIsChanged(currentFn.length > 0 && currentFn !== lastSavedFn);
-  }, [lastSavedFn]);
-
-  const matchUpdatedSavedFn = useCallback(() => {
-    if (!editorRef.current) return;
-    editorRef.current.setValue(lastSavedFn);
-    setIsChanged(false);
-  }, [lastSavedFn]);
-
-  useEffect(matchUpdatedSavedFn, [matchUpdatedSavedFn, lastSavedFn]);
+    setIsChanged(currentFn.length > 0 && currentFn !== lastSavedFnRef.current);
+  }, [editorRef]);
 
   const replaceVariant = api.promptVariants.replaceVariant.useMutation();
   const utils = api.useContext();
@@ -136,6 +134,11 @@ export default function VariantEditor(props: { variant: PromptVariant }) {
         readOnly: !canModify,
       });
 
+      updateOptionsForEditor(props.variant.uiId, {
+        getContent: () => editorRef.current?.getValue() || "",
+        setContent: (content) => editorRef.current?.setValue(content),
+      });
+
       // Workaround because otherwise the commands only work on whatever
       // editor was loaded on the page last.
       // https://github.com/microsoft/monaco-editor/issues/2947#issuecomment-1422265201
@@ -155,7 +158,7 @@ export default function VariantEditor(props: { variant: PromptVariant }) {
         });
       });
 
-      editorRef.current.onDidChangeModelContent(checkForChanges);
+      const checkForChangesListener = editorRef.current.onDidChangeModelContent(checkForChanges);
 
       const resizeObserver = new ResizeObserver(() => {
         editorRef.current?.layout();
@@ -164,6 +167,7 @@ export default function VariantEditor(props: { variant: PromptVariant }) {
 
       return () => {
         resizeObserver.disconnect();
+        checkForChangesListener.dispose();
         editorRef.current?.dispose();
       };
     }
@@ -171,7 +175,7 @@ export default function VariantEditor(props: { variant: PromptVariant }) {
     // We intentionally skip the onSave and props.savedConfig dependencies here because
     // we don't want to re-render the editor from scratch
     /* eslint-disable-next-line react-hooks/exhaustive-deps */
-  }, [monaco, editorId]);
+  }, [monaco, editorId, updateOptionsForEditor]);
 
   useEffect(() => {
     if (!editorRef.current) return;

app/src/components/OutputsTable/index.tsx

@@ -77,6 +77,7 @@ 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>

app/src/components/Paginator.tsx

@@ -1,15 +1,19 @@
-import { HStack, IconButton, Text, Select, type StackProps, Icon } from "@chakra-ui/react";
+import {
+  HStack,
+  IconButton,
+  Text,
+  Select,
+  type StackProps,
+  Icon,
+  useBreakpointValue,
+} 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,
-  condense,
-  ...props
-}: { count: number; condense?: boolean } & StackProps) => {
+const Paginator = ({ count, ...props }: { count: number; condense?: boolean } & StackProps) => {
   const { page, pageSize, setPageParams } = usePageParams();
 
   const lastPage = Math.ceil(count / pageSize);
@@ -37,6 +41,9 @@ const Paginator = ({
   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 (

app/src/components/RefinePromptModal/RefinePromptModal.tsx

@@ -1,3 +1,4 @@
+import { useState, useMemo, useCallback } from "react";
 import {
   Button,
   Modal,
@@ -9,22 +10,23 @@ import {
   ModalOverlay,
   VStack,
   Text,
-  Spinner,
   HStack,
   Icon,
   SimpleGrid,
 } from "@chakra-ui/react";
 import { BsStars } from "react-icons/bs";
 import { api } from "~/utils/api";
-import { useHandledAsyncCallback, useVisibleScenarioIds } from "~/utils/hooks";
+import { useHandledAsyncCallback } from "~/utils/hooks";
 import { type PromptVariant } from "@prisma/client";
-import { useState } from "react";
+
 import CompareFunctions from "./CompareFunctions";
 import { CustomInstructionsInput } from "../CustomInstructionsInput";
 import { RefineAction } from "./RefineAction";
-import { isObject, isString } from "lodash-es";
+import { isString } from "lodash-es";
 import { type RefinementAction, type SupportedProvider } from "~/modelProviders/types";
 import frontendModelProviders from "~/modelProviders/frontendModelProviders";
+import { useAppStore } from "~/state/store";
+import { maybeReportError } from "~/utils/errorHandling/maybeReportError";
 
 export const RefinePromptModal = ({
   variant,
@@ -33,19 +35,23 @@ export const RefinePromptModal = ({
   variant: PromptVariant;
   onClose: () => void;
 }) => {
-  const utils = api.useContext();
-  const visibleScenarios = useVisibleScenarioIds();
+  const editorOptionsMap = useAppStore((s) => s.sharedVariantEditor.editorOptionsMap);
+  const originalPromptFn = useMemo(
+    () => editorOptionsMap[variant.uiId]?.getContent() || "",
+    [editorOptionsMap, variant.uiId],
+  );
 
   const refinementActions =
     frontendModelProviders[variant.modelProvider as SupportedProvider].refinementActions || {};
 
-  const { mutateAsync: getModifiedPromptMutateAsync, data: refinedPromptFn } =
+  const { mutateAsync: getModifiedPromptMutateAsync } =
     api.promptVariants.getModifiedPromptFn.useMutation();
   const [instructions, setInstructions] = useState<string>("");
 
   const [activeRefineActionLabel, setActiveRefineActionLabel] = useState<string | undefined>(
     undefined,
   );
+  const [refinedPromptFn, setRefinedPromptFn] = useState<string>();
 
   const [getModifiedPromptFn, modificationInProgress] = useHandledAsyncCallback(
     async (label?: string) => {
@@ -54,31 +60,22 @@ export const RefinePromptModal = ({
         ? (refinementActions[label] as RefinementAction).instructions
         : instructions;
       setActiveRefineActionLabel(label);
-      await getModifiedPromptMutateAsync({
+      const resp = await getModifiedPromptMutateAsync({
         id: variant.id,
+        originalPromptFn,
         instructions: updatedInstructions,
       });
+      if (maybeReportError(resp)) return;
+      setRefinedPromptFn(resp.payload);
     },
     [getModifiedPromptMutateAsync, onClose, variant, instructions, setActiveRefineActionLabel],
   );
 
-  const replaceVariantMutation = api.promptVariants.replaceVariant.useMutation();
-
-  const [replaceVariant, replacementInProgress] = useHandledAsyncCallback(async () => {
-    if (
-      !variant.experimentId ||
-      !refinedPromptFn ||
-      (isObject(refinedPromptFn) && "status" in refinedPromptFn)
-    )
-      return;
-    await replaceVariantMutation.mutateAsync({
-      id: variant.id,
-      promptConstructor: refinedPromptFn,
-      streamScenarios: visibleScenarios,
-    });
-    await utils.promptVariants.list.invalidate();
+  const replaceVariant = useCallback(() => {
+    if (!refinedPromptFn) return;
+    editorOptionsMap[variant.uiId]?.setContent(refinedPromptFn);
     onClose();
-  }, [replaceVariantMutation, variant, onClose, refinedPromptFn]);
+  }, [variant.uiId, editorOptionsMap, onClose, refinedPromptFn]);
 
   return (
     <Modal
@@ -126,7 +123,7 @@ export const RefinePromptModal = ({
               />
             </VStack>
             <CompareFunctions
-              originalFunction={variant.promptConstructor}
+              originalFunction={originalPromptFn}
               newFunction={isString(refinedPromptFn) ? refinedPromptFn : undefined}
               maxH="40vh"
             />
@@ -139,9 +136,9 @@ export const RefinePromptModal = ({
               colorScheme="blue"
               onClick={replaceVariant}
               minW={24}
-              isDisabled={replacementInProgress || !refinedPromptFn}
+              isDisabled={!refinedPromptFn}
             >
-              {replacementInProgress ? <Spinner boxSize={4} /> : <Text>Accept</Text>}
+              Accept
             </Button>
           </HStack>
         </ModalFooter>

app/src/components/StatsCard.tsx

@@ -1,26 +0,0 @@
-import { VStack, HStack, type StackProps, Text, Divider } from "@chakra-ui/react";
-import Link, { type LinkProps } from "next/link";
-
-const StatsCard = ({
-  title,
-  href,
-  children,
-  ...rest
-}: { title: string; href: string } & StackProps & LinkProps) => {
-  return (
-    <VStack flex={1} borderWidth={1} padding={4} borderRadius={4} borderColor="gray.300" {...rest}>
-      <HStack w="full" justifyContent="space-between">
-        <Text fontSize="md" fontWeight="bold">
-          {title}
-        </Text>
-        <Link href={href}>
-          <Text color="blue">View all</Text>
-        </Link>
-      </HStack>
-      <Divider />
-      {children}
-    </VStack>
-  );
-};
-
-export default StatsCard;

app/src/components/dashboard/LoggedCallsTable.tsx

@@ -2,11 +2,12 @@ import { Card, CardHeader, Heading, Table, Tbody, HStack, Button, Text } from "@
 import { useState } from "react";
 import Link from "next/link";
 import { useLoggedCalls } from "~/utils/hooks";
-import { TableHeader, TableRow } from "../requestLogs/TableRow";
+import { EmptyTableRow, TableHeader, TableRow } from "../requestLogs/TableRow";
 
 export default function LoggedCallsTable() {
+  const { data: loggedCalls } = useLoggedCalls(false);
+
   const [expandedRow, setExpandedRow] = useState<string | null>(null);
-  const { data: loggedCalls } = useLoggedCalls();
 
   return (
     <Card width="100%" overflow="hidden">
@@ -23,7 +24,8 @@ export default function LoggedCallsTable() {
       <Table>
         <TableHeader />
         <Tbody>
-          {loggedCalls?.calls.map((loggedCall) => {
+          {loggedCalls?.calls.length ? (
+            loggedCalls?.calls.map((loggedCall) => {
               return (
                 <TableRow
                   key={loggedCall.id}
@@ -38,7 +40,10 @@ export default function LoggedCallsTable() {
                   }}
                 />
               );
-          })}
+            })
+          ) : (
+            <EmptyTableRow filtersApplied={false} />
+          )}
         </Tbody>
       </Table>
     </Card>

app/src/components/datasets/DatasetCard.tsx

@@ -1,112 +0,0 @@
-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>
-);

app/src/components/datasets/DatasetEntriesPaginator.tsx

@@ -1,16 +0,0 @@
-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;

app/src/components/datasets/DatasetEntriesTable.tsx

@@ -1,31 +0,0 @@
-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;

app/src/components/datasets/DatasetHeaderButtons/DatasetHeaderButtons.tsx

@@ -1,26 +0,0 @@
-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}
-      />
-    </>
-  );
-};

app/src/components/datasets/DatasetHeaderButtons/GenerateDataModal.tsx

@@ -1,128 +0,0 @@
-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>
-  );
-};

app/src/components/datasets/TableRow.tsx

@@ -1,13 +0,0 @@
-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;

app/src/components/experiments/DeleteExperimentDialog.tsx

@@ -0,0 +1,66 @@
+import { useRef } from "react";
+import {
+  type UseDisclosureReturn,
+  AlertDialog,
+  AlertDialogOverlay,
+  AlertDialogContent,
+  AlertDialogHeader,
+  AlertDialogBody,
+  AlertDialogFooter,
+  Button,
+} from "@chakra-ui/react";
+import { api } from "~/utils/api";
+
+import { useHandledAsyncCallback } from "~/utils/hooks";
+
+const DeleteExperimentDialog = ({
+  experimentId,
+  onDelete,
+  disclosure,
+}: {
+  experimentId?: string;
+  onDelete?: () => void;
+  disclosure: UseDisclosureReturn;
+}) => {
+  const cancelRef = useRef<HTMLButtonElement>(null);
+
+  const mutation = api.experiments.delete.useMutation();
+  const utils = api.useContext();
+
+  const [onDeleteConfirm] = useHandledAsyncCallback(async () => {
+    if (!experimentId) return;
+    await mutation.mutateAsync({ id: experimentId });
+    await utils.experiments.list.invalidate();
+    onDelete?.();
+
+    disclosure.onClose();
+  }, [mutation, experimentId, disclosure.onClose]);
+
+  return (
+    <AlertDialog leastDestructiveRef={cancelRef} {...disclosure}>
+      <AlertDialogOverlay>
+        <AlertDialogContent>
+          <AlertDialogHeader fontSize="lg" fontWeight="bold">
+            Delete Experiment
+          </AlertDialogHeader>
+
+          <AlertDialogBody>
+            If you delete this experiment all the associated prompts and scenarios will be deleted
+            as well. Are you sure?
+          </AlertDialogBody>
+
+          <AlertDialogFooter>
+            <Button ref={cancelRef} onClick={disclosure.onClose}>
+              Cancel
+            </Button>
+            <Button colorScheme="red" onClick={onDeleteConfirm} ml={3}>
+              Delete
+            </Button>
+          </AlertDialogFooter>
+        </AlertDialogContent>
+      </AlertDialogOverlay>
+    </AlertDialog>
+  );
+};
+
+export default DeleteExperimentDialog;

app/src/components/experiments/ExperimentCard.tsx

@@ -1,3 +1,4 @@
+import { type MouseEvent, useState } from "react";
 import {
   HStack,
   Icon,
@@ -8,17 +9,29 @@ import {
   AspectRatio,
   SkeletonText,
   Card,
+  useDisclosure,
+  Box,
+  Menu,
+  MenuButton,
+  MenuList,
+  MenuItem,
+  IconButton,
+  useToast,
 } from "@chakra-ui/react";
 import { RiFlaskLine } 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 { RouterOutputs, api } from "~/utils/api";
+import { BsPlusSquare, BsThreeDotsVertical, BsLink45Deg, BsTrash } from "react-icons/bs";
+
+import { formatTimePast } from "~/utils/dayjs";
+import { type RouterOutputs, api } from "~/utils/api";
 import { useHandledAsyncCallback } from "~/utils/hooks";
 import { useAppStore } from "~/state/store";
+import DeleteExperimentDialog from "./DeleteExperimentDialog";
 
 export const ExperimentCard = ({ exp }: { exp: RouterOutputs["experiments"]["list"][0] }) => {
+  const [isMenuHovered, setIsMenuHovered] = useState(false);
+
   return (
     <Card
       w="full"
@@ -27,7 +40,7 @@ export const ExperimentCard = ({ exp }: { exp: RouterOutputs["experiments"]["lis
       p={4}
       bg="white"
       borderRadius={4}
-      _hover={{ bg: "gray.100" }}
+      _hover={{ bg: isMenuHovered ? undefined : "gray.100" }}
       transition="background 0.2s"
       aspectRatio={1.2}
     >
@@ -38,10 +51,18 @@ export const ExperimentCard = ({ exp }: { exp: RouterOutputs["experiments"]["lis
         href={{ pathname: "/experiments/[experimentSlug]", query: { experimentSlug: exp.slug } }}
         justify="space-between"
       >
-        <HStack w="full" color="gray.700" justify="center">
+        <HStack w="full" justify="space-between" spacing={0}>
+          <Box w={6} />
+          <HStack color="gray.700" justify="center">
             <Icon as={RiFlaskLine} boxSize={4} />
             <Text fontWeight="bold">{exp.label}</Text>
           </HStack>
+          <CardMenu
+            experimentId={exp.id}
+            experimentSlug={exp.slug}
+            setIsMenuHovered={setIsMenuHovered}
+          />
+        </HStack>
         <HStack h="full" spacing={4} flex={1} align="center">
           <CountLabel label="Variants" count={exp.promptVariantCount} />
           <Divider h={12} orientation="vertical" />
@@ -57,6 +78,75 @@ export const ExperimentCard = ({ exp }: { exp: RouterOutputs["experiments"]["lis
   );
 };
 
+const CardMenu = ({
+  experimentId,
+  experimentSlug,
+  setIsMenuHovered,
+}: {
+  experimentId: string;
+  experimentSlug: string;
+  setIsMenuHovered: (isHovered: boolean) => void;
+}) => {
+  const deleteDisclosure = useDisclosure();
+  const menuDisclosure = useDisclosure();
+  const toast = useToast();
+  const [copyShareLink] = useHandledAsyncCallback(
+    async (e: MouseEvent<HTMLButtonElement>) => {
+      if (typeof window === "undefined") return;
+      e.preventDefault();
+      e.stopPropagation();
+      const shareLink = `${window.location.origin}/experiments/${experimentSlug}`;
+      await navigator.clipboard.writeText(shareLink);
+      toast({
+        title: "Share link copied to clipboard",
+        status: "success",
+        duration: 2000,
+        isClosable: true,
+      });
+      menuDisclosure.onClose();
+    },
+    [toast, menuDisclosure.onClose, experimentSlug],
+  );
+  return (
+    <>
+      <Menu isLazy {...menuDisclosure}>
+        <MenuButton
+          as={IconButton}
+          aria-label="Options"
+          icon={<BsThreeDotsVertical />}
+          variant="ghost"
+          onClick={(e) => {
+            e.preventDefault();
+            e.stopPropagation();
+            menuDisclosure.onOpen();
+          }}
+          onMouseEnter={() => setIsMenuHovered(true)}
+          onMouseLeave={() => setIsMenuHovered(false)}
+          boxSize={6}
+          minW={0}
+        />
+        <MenuList>
+          <MenuItem icon={<Icon as={BsLink45Deg} boxSize={5} />} onClick={copyShareLink}>
+            Copy Link
+          </MenuItem>
+          <MenuItem
+            icon={<Icon as={BsTrash} boxSize={5} />}
+            onClick={(e) => {
+              e.preventDefault();
+              e.stopPropagation();
+              deleteDisclosure.onOpen();
+            }}
+            color="red.500"
+          >
+            Delete
+          </MenuItem>
+        </MenuList>
+      </Menu>
+      <DeleteExperimentDialog experimentId={experimentId} disclosure={deleteDisclosure} />
+    </>
+  );
+};
+
 const CountLabel = ({ label, count }: { label: string; count: number }) => {
   return (
     <VStack alignItems="center" flex={1}>
@@ -98,9 +188,7 @@ export const NewExperimentCard = () => {
     >
       <VStack align="center" justify="center" w="full" h="full" p={4} onClick={createExperiment}>
         <Icon as={isLoading ? Spinner : BsPlusSquare} boxSize={8} />
-        <Text display={{ base: "none", md: "block" }} ml={2}>
-          New Experiment
-        </Text>
+        <Text ml={2}>New Experiment</Text>
       </VStack>
     </Card>
   );

app/src/components/fineTunes/FineTunesTable.tsx

@@ -0,0 +1,65 @@
+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";
+  }
+};

app/src/components/nav/AppShell.tsx

@@ -13,14 +13,19 @@ import {
 } from "@chakra-ui/react";
 import Head from "next/head";
 import Link from "next/link";
+import { useRouter } from "next/router";
 import { BsGearFill, BsGithub, BsPersonCircle } from "react-icons/bs";
 import { IoStatsChartOutline } from "react-icons/io5";
-import { RiHome3Line, RiDatabase2Line, RiFlaskLine } from "react-icons/ri";
+import { RiHome3Line, RiFlaskLine } from "react-icons/ri";
+import { AiOutlineThunderbolt } from "react-icons/ai";
+import { FaReadme } from "react-icons/fa";
 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";
+import { useAppStore } from "~/state/store";
 
 const Divider = () => <Box h="1px" bgColor="gray.300" w="full" />;
 
@@ -71,21 +76,10 @@ 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={RiHome3Line} label="Dashboard" href="/dashboard" />
+            <IconLink icon={IoStatsChartOutline} label="Request Logs" href="/request-logs" />
+            <IconLink icon={AiOutlineThunderbolt} label="Fine Tunes" href="/fine-tunes" 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}
@@ -105,7 +99,7 @@ const NavSidebar = () => {
           <NavSidebarOption>
             <HStack
               w="full"
-              p={4}
+              p={{ base: 2, md: 4 }}
               as={ChakraLink}
               justifyContent="start"
               onClick={() => {
@@ -120,7 +114,22 @@ const NavSidebar = () => {
           </NavSidebarOption>
         )}
       </VStack>
-
+      <HStack
+        w="full"
+        px={{ base: 2, md: 4 }}
+        py={{ base: 1, md: 2 }}
+        as={ChakraLink}
+        justifyContent="start"
+        href="https://docs.openpipe.ai"
+        target="_blank"
+        color="gray.500"
+        spacing={1}
+      >
+        <Icon as={FaReadme} boxSize={4} mr={2} />
+        <Text fontWeight="bold" fontSize="sm">
+          Read the Docs
+        </Text>
+      </HStack>
       <Divider />
       <VStack spacing={0} align="center">
         <ChakraLink
@@ -141,12 +150,15 @@ 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
+  const router = useRouter();
 
   useEffect(() => {
     const setHeight = () => {
@@ -174,7 +186,11 @@ export default function AppShell({
     }
   }, [requireAuth, user, authLoading]);
 
+  const flags = useAppStore((s) => s.featureFlags.featureFlags);
+  const flagsLoaded = useAppStore((s) => s.featureFlags.flagsLoaded);
+
   return (
+    <>
       <Flex h={vh} w="100vw">
         <Head>
           <title>{title ? `${title} | OpenPipe` : "OpenPipe"}</title>
@@ -184,5 +200,7 @@ export default function AppShell({
           {children}
         </Box>
       </Flex>
+      <BetaModal isOpen={!!requireBeta && flagsLoaded && !flags.betaAccess} onClose={router.back} />
+    </>
   );
 }

app/src/components/nav/ProjectMenu.tsx

@@ -14,6 +14,7 @@ import {
   Link as ChakraLink,
   Image,
   Box,
+  Portal,
 } from "@chakra-ui/react";
 import { useEffect } from "react";
 import Link from "next/link";
@@ -56,6 +57,7 @@ export default function ProjectMenu() {
     await utils.projects.list.invalidate();
     setSelectedProjectId(newProj.id);
     await router.push({ pathname: "/project/settings" });
+    popover.onClose();
   }, [createMutation, router]);
 
   const user = useSession().data;
@@ -109,6 +111,7 @@ export default function ProjectMenu() {
             </HStack>
           </NavSidebarOption>
         </PopoverTrigger>
+        <Portal>
           <PopoverContent
             _focusVisible={{ outline: "unset" }}
             w={220}
@@ -167,6 +170,7 @@ export default function ProjectMenu() {
               </VStack>
             </VStack>
           </PopoverContent>
+        </Portal>
       </Popover>
     </VStack>
   );

app/src/components/nav/UserMenu.tsx

@@ -23,7 +23,6 @@ export default function UserMenu({ user, ...rest }: { user: Session } & StackPro
   );
 
   return (
-    <>
     <Popover placement="right">
       <PopoverTrigger>
         <NavSidebarOption>
@@ -67,6 +66,5 @@ export default function UserMenu({ user, ...rest }: { user: Session } & StackPro
         </VStack>
       </PopoverContent>
     </Popover>
-    </>
   );
 }

app/src/components/requestLogs/ActionButton.tsx

@@ -1,12 +1,30 @@
+import { useState } from "react";
+
 import { Button, HStack, type ButtonProps, Icon, Text } from "@chakra-ui/react";
 import { type IconType } from "react-icons";
+import { useAppStore } from "~/state/store";
+import { BetaModal } from "../BetaModal";
 
 const ActionButton = ({
   icon,
   label,
+  requireBeta = false,
+  onClick,
   ...buttonProps
-}: { icon: IconType; label: string } & ButtonProps) => {
+}: {
+  icon: IconType;
+  label: string;
+  requireBeta?: boolean;
+  onClick?: () => void;
+} & ButtonProps) => {
+  const flags = useAppStore((s) => s.featureFlags.featureFlags);
+  const flagsLoaded = useAppStore((s) => s.featureFlags.flagsLoaded);
+
+  const [betaModalOpen, setBetaModalOpen] = useState(false);
+
+  const isBetaBlocked = requireBeta && flagsLoaded && !flags.betaAccess;
   return (
+    <>
       <Button
         colorScheme="blue"
         color="black"
@@ -17,13 +35,16 @@ const ActionButton = ({
         size="sm"
         fontSize="sm"
         fontWeight="normal"
+        onClick={isBetaBlocked ? () => setBetaModalOpen(true) : onClick}
         {...buttonProps}
       >
         <HStack spacing={1}>
-        {icon && <Icon as={icon} />}
-        <Text>{label}</Text>
+          {icon && <Icon as={icon} color={requireBeta ? "orange.400" : undefined} />}
+          <Text display={{ base: "none", md: "flex" }}>{label}</Text>
         </HStack>
       </Button>
+      <BetaModal isOpen={betaModalOpen} onClose={() => setBetaModalOpen(false)} />
+    </>
   );
 };
 

app/src/components/requestLogs/ColumnVisiblityDropdown.tsx

@@ -0,0 +1,117 @@
+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;

app/src/components/requestLogs/ExportButton.tsx

@@ -0,0 +1,211 @@
+import { useState, useEffect } from "react";
+import {
+  Modal,
+  ModalOverlay,
+  ModalContent,
+  ModalHeader,
+  ModalCloseButton,
+  ModalBody,
+  ModalFooter,
+  HStack,
+  VStack,
+  Icon,
+  Text,
+  Button,
+  Checkbox,
+  NumberInput,
+  NumberInputField,
+  NumberInputStepper,
+  NumberIncrementStepper,
+  NumberDecrementStepper,
+  Collapse,
+  Flex,
+  useDisclosure,
+  type UseDisclosureReturn,
+} from "@chakra-ui/react";
+import { BiExport } from "react-icons/bi";
+
+import { useHandledAsyncCallback } from "~/utils/hooks";
+import { api } from "~/utils/api";
+import { useAppStore } from "~/state/store";
+import ActionButton from "./ActionButton";
+import InputDropdown from "../InputDropdown";
+import { FiChevronUp, FiChevronDown } from "react-icons/fi";
+import InfoCircle from "../InfoCircle";
+
+const SUPPORTED_EXPORT_FORMATS = ["alpaca-finetune", "openai-fine-tune", "unformatted"];
+
+const ExportButton = () => {
+  const selectedLogIds = useAppStore((s) => s.selectedLogs.selectedLogIds);
+
+  const disclosure = useDisclosure();
+
+  return (
+    <>
+      <ActionButton
+        onClick={disclosure.onOpen}
+        label="Export"
+        icon={BiExport}
+        isDisabled={selectedLogIds.size === 0}
+        requireBeta
+      />
+      <ExportLogsModal disclosure={disclosure} />
+    </>
+  );
+};
+
+export default ExportButton;
+
+const ExportLogsModal = ({ disclosure }: { disclosure: UseDisclosureReturn }) => {
+  const selectedProjectId = useAppStore((s) => s.selectedProjectId);
+  const selectedLogIds = useAppStore((s) => s.selectedLogs.selectedLogIds);
+  const clearSelectedLogIds = useAppStore((s) => s.selectedLogs.clearSelectedLogIds);
+
+  const [selectedExportFormat, setSelectedExportFormat] = useState(SUPPORTED_EXPORT_FORMATS[0]);
+  const [testingSplit, setTestingSplit] = useState(10);
+  const [removeDuplicates, setRemoveDuplicates] = useState(true);
+  const [showAdvancedOptions, setShowAdvancedOptions] = useState(false);
+
+  useEffect(() => {
+    if (disclosure.isOpen) {
+      setSelectedExportFormat(SUPPORTED_EXPORT_FORMATS[0]);
+      setTestingSplit(10);
+      setRemoveDuplicates(true);
+    }
+  }, [disclosure.isOpen]);
+
+  const exportLogsMutation = api.loggedCalls.export.useMutation();
+
+  const [exportLogs, exportInProgress] = useHandledAsyncCallback(async () => {
+    if (!selectedProjectId || !selectedLogIds.size || !testingSplit || !selectedExportFormat)
+      return;
+    const response = await exportLogsMutation.mutateAsync({
+      projectId: selectedProjectId,
+      selectedLogIds: Array.from(selectedLogIds),
+      testingSplit,
+      selectedExportFormat,
+      removeDuplicates,
+    });
+
+    const dataUrl = `data:application/pdf;base64,${response}`;
+    const blob = await fetch(dataUrl).then((res) => res.blob());
+    const url = URL.createObjectURL(blob);
+    const a = document.createElement("a");
+
+    a.href = url;
+    a.download = `data.zip`;
+    document.body.appendChild(a);
+    a.click();
+    document.body.removeChild(a);
+
+    disclosure.onClose();
+    clearSelectedLogIds();
+  }, [
+    exportLogsMutation,
+    selectedProjectId,
+    selectedLogIds,
+    testingSplit,
+    selectedExportFormat,
+    removeDuplicates,
+  ]);
+
+  return (
+    <Modal size={{ base: "xl", md: "2xl" }} {...disclosure}>
+      <ModalOverlay />
+      <ModalContent w={1200}>
+        <ModalHeader>
+          <HStack>
+            <Icon as={BiExport} />
+            <Text>Export Logs</Text>
+          </HStack>
+        </ModalHeader>
+        <ModalCloseButton />
+        <ModalBody maxW="unset">
+          <VStack w="full" spacing={8} pt={4} alignItems="flex-start">
+            <Text>
+              We'll export the <b>{selectedLogIds.size}</b> logs you have selected in the format of
+              your choice.
+            </Text>
+            <VStack alignItems="flex-start" spacing={4}>
+              <Flex
+                flexDir={{ base: "column", md: "row" }}
+                alignItems={{ base: "flex-start", md: "center" }}
+              >
+                <HStack w={48} alignItems="center" spacing={1}>
+                  <Text fontWeight="bold">Format:</Text>
+                  <InfoCircle tooltipText="Format logs for for fine tuning or export them without formatting." />
+                </HStack>
+                <InputDropdown
+                  options={SUPPORTED_EXPORT_FORMATS}
+                  selectedOption={selectedExportFormat}
+                  onSelect={(option) => setSelectedExportFormat(option)}
+                  inputGroupProps={{ w: 48 }}
+                />
+              </Flex>
+              <Flex
+                flexDir={{ base: "column", md: "row" }}
+                alignItems={{ base: "flex-start", md: "center" }}
+              >
+                <HStack w={48} alignItems="center" spacing={1}>
+                  <Text fontWeight="bold">Testing Split:</Text>
+                  <InfoCircle tooltipText="The percent of your logs that will be reserved for testing and saved in another file. Logs are split randomly." />
+                </HStack>
+                <HStack>
+                  <NumberInput
+                    defaultValue={10}
+                    onChange={(_, num) => setTestingSplit(num)}
+                    min={1}
+                    max={100}
+                    w={48}
+                  >
+                    <NumberInputField />
+                    <NumberInputStepper>
+                      <NumberIncrementStepper />
+                      <NumberDecrementStepper />
+                    </NumberInputStepper>
+                  </NumberInput>
+                </HStack>
+              </Flex>
+            </VStack>
+            <VStack alignItems="flex-start" spacing={0}>
+              <Button
+                variant="unstyled"
+                color="blue.600"
+                onClick={() => setShowAdvancedOptions(!showAdvancedOptions)}
+              >
+                <HStack>
+                  <Text>Advanced Options</Text>
+                  <Icon as={showAdvancedOptions ? FiChevronUp : FiChevronDown} />
+                </HStack>
+              </Button>
+              <Collapse in={showAdvancedOptions} unmountOnExit={true}>
+                <VStack align="stretch" pt={4}>
+                  <HStack>
+                    <Checkbox
+                      colorScheme="blue"
+                      isChecked={removeDuplicates}
+                      onChange={(e) => setRemoveDuplicates(e.target.checked)}
+                    >
+                      <Text>Remove duplicates</Text>
+                    </Checkbox>
+                    <InfoCircle tooltipText="To avoid overfitting and speed up training, automatically deduplicate logs with matching input and output." />
+                  </HStack>
+                </VStack>
+              </Collapse>
+            </VStack>
+          </VStack>
+        </ModalBody>
+        <ModalFooter>
+          <HStack>
+            <Button colorScheme="gray" onClick={disclosure.onClose} minW={24}>
+              Cancel
+            </Button>
+            <Button colorScheme="blue" onClick={exportLogs} isLoading={exportInProgress} minW={24}>
+              Export
+            </Button>
+          </HStack>
+        </ModalFooter>
+      </ModalContent>
+    </Modal>
+  );
+};

app/src/components/requestLogs/FineTuneButton.tsx

@@ -0,0 +1,162 @@
+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 { AiTwotoneThunderbolt } from "react-icons/ai";
+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={AiTwotoneThunderbolt}
+        isDisabled={selectedLogIds.size === 0}
+        requireBeta
+      />
+      <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={AiTwotoneThunderbolt} />
+            <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>
+  );
+};

app/src/components/requestLogs/LoggedCallsTable.tsx

@@ -1,7 +1,7 @@
 import { Card, Table, Tbody } from "@chakra-ui/react";
 import { useState } from "react";
 import { useLoggedCalls } from "~/utils/hooks";
-import { TableHeader, TableRow } from "./TableRow";
+import { TableHeader, TableRow, EmptyTableRow } from "./TableRow";
 
 export default function LoggedCallsTable() {
   const [expandedRow, setExpandedRow] = useState<string | null>(null);
@@ -10,9 +10,10 @@ export default function LoggedCallsTable() {
   return (
     <Card width="100%" overflowX="auto">
       <Table>
-        <TableHeader showCheckbox />
+        <TableHeader showOptions />
         <Tbody>
-          {loggedCalls?.calls?.map((loggedCall) => {
+          {loggedCalls?.calls.length ? (
+            loggedCalls?.calls?.map((loggedCall) => {
               return (
                 <TableRow
                   key={loggedCall.id}
@@ -25,10 +26,13 @@ export default function LoggedCallsTable() {
                       setExpandedRow(loggedCall.id);
                     }
                   }}
-                showCheckbox
+                  showOptions
                 />
               );
-          })}
+            })
+          ) : (
+            <EmptyTableRow />
+          )}
         </Tbody>
       </Table>
     </Card>

app/src/components/requestLogs/TableRow.tsx

@@ -13,22 +13,21 @@ import {
   ButtonGroup,
   Text,
   Checkbox,
+  Link as ChakraLink,
 } 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 { useLoggedCalls, useTagNames } from "~/utils/hooks";
+import { useIsClientRehydrated, useLoggedCalls, useTagNames } from "~/utils/hooks";
 import { useMemo } from "react";
-
-dayjs.extend(relativeTime);
+import { StaticColumnKeys } from "~/state/columnVisiblitySlice";
 
 type LoggedCall = RouterOutputs["loggedCalls"]["list"]["calls"][0];
 
-export const TableHeader = ({ showCheckbox }: { showCheckbox?: boolean }) => {
+export const TableHeader = ({ showOptions }: { showOptions?: boolean }) => {
   const matchingLogIds = useLoggedCalls().data?.matchingLogIds;
   const selectedLogIds = useAppStore((s) => s.selectedLogs.selectedLogIds);
   const addAll = useAppStore((s) => s.selectedLogs.addSelectedLogIds);
@@ -38,10 +37,14 @@ export const TableHeader = ({ showCheckbox }: { showCheckbox?: 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>
-        {showCheckbox && (
+        {showOptions && (
           <Th pr={0}>
             <HStack minW={16}>
               <Checkbox
@@ -57,13 +60,19 @@ export const TableHeader = ({ showCheckbox }: { showCheckbox?: boolean }) => {
             </HStack>
           </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>
+        {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>}
       </Tr>
     </Thead>
   );
@@ -73,12 +82,12 @@ export const TableRow = ({
   loggedCall,
   isExpanded,
   onToggle,
-  showCheckbox,
+  showOptions,
 }: {
   loggedCall: LoggedCall;
   isExpanded: boolean;
   onToggle: () => void;
-  showCheckbox?: boolean;
+  showOptions?: boolean;
 }) => {
   const isError = loggedCall.modelResponse?.statusCode !== 200;
   const requestedAt = dayjs(loggedCall.requestedAt).format("MMMM D h:mm A");
@@ -88,6 +97,14 @@ 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 (
     <>
@@ -100,11 +117,12 @@ export const TableRow = ({
         }}
         fontSize="sm"
       >
-        {showCheckbox && (
+        {showOptions && (
           <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">
@@ -112,6 +130,8 @@ export const TableRow = ({
               </Box>
             </Tooltip>
           </Td>
+        )}
+        {visibleColumns.has(StaticColumnKeys.MODEL) && (
           <Td>
             <HStack justifyContent="flex-start">
               <Text
@@ -128,7 +148,11 @@ export const TableRow = ({
               </Text>
             </HStack>
           </Td>
-        {tagNames?.map((tagName) => <Td key={tagName}>{loggedCall.tags[tagName]}</Td>)}
+        )}
+        {visibleTagNames.map((tagName) => (
+          <Td key={tagName}>{loggedCall.tags[tagName]}</Td>
+        ))}
+        {visibleColumns.has(StaticColumnKeys.DURATION) && (
           <Td isNumeric>
             {loggedCall.cacheHit ? (
               <Text color="gray.500">Cached</Text>
@@ -136,14 +160,21 @@ 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={8} p={0}>
+        <Td colSpan={visibleColumns.size + 1} w="full" p={0}>
           <Collapse in={isExpanded} unmountOnExit={true}>
             <VStack p={4} align="stretch">
               <HStack align="stretch">
@@ -168,3 +199,41 @@ export const TableRow = ({
     </>
   );
 };
+
+export const EmptyTableRow = ({ filtersApplied = true }: { filtersApplied?: boolean }) => {
+  const visibleColumns = useAppStore((s) => s.columnVisibility.visibleColumns);
+  const filters = useAppStore((state) => state.logFilters.filters);
+  const { isLoading } = useLoggedCalls();
+
+  if (isLoading) return null;
+
+  if (filters.length && filtersApplied) {
+    return (
+      <Tr>
+        <Td w="full" colSpan={visibleColumns.size + 1}>
+          <Text color="gray.500" textAlign="center" w="full" p={4}>
+            No matching request logs found. Try removing some filters.
+          </Text>
+        </Td>
+      </Tr>
+    );
+  }
+
+  return (
+    <Tr>
+      <Td w="full" colSpan={visibleColumns.size + 1}>
+        <Text color="gray.500" textAlign="center" w="full" p={4}>
+          This project has no request logs. Learn how to add request logs to your project in our{" "}
+          <ChakraLink
+            href="https://docs.openpipe.ai/getting-started/quick-start"
+            target="_blank"
+            color="blue.600"
+          >
+            Quick Start
+          </ChakraLink>{" "}
+          guide.
+        </Text>
+      </Td>
+    </Tr>
+  );
+};

app/src/env.mjs

@@ -30,6 +30,10 @@ export const env = createEnv({
       .string()
       .default("10")
       .transform((val) => parseInt(val)),
+    WORKER_MAX_POOL_SIZE: z
+      .string()
+      .default("10")
+      .transform((val) => parseInt(val)),
   },
 
   /**
@@ -42,8 +46,6 @@ 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_SHOW_DATA: z.string().optional(),
-    NEXT_PUBLIC_FF_SHOW_LOGGED_CALLS: z.string().optional(),
   },
 
   /**
@@ -58,7 +60,6 @@ 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,
@@ -66,13 +67,13 @@ 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_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.

app/src/modelProviders/openai-ChatCompletion/getCompletion.ts

@@ -2,7 +2,7 @@
 import { isArray, isString } from "lodash-es";
 import { APIError } from "openai";
 import { type ChatCompletion, type CompletionCreateParams } from "openai/resources/chat";
-import mergeChunks from "openpipe/src/openai/mergeChunks";
+import mergeChunks from "openpipe/openai/mergeChunks";
 import { openai } from "~/server/utils/openai";
 import { type CompletionResponse } from "../types";
 
@@ -16,7 +16,16 @@ export async function getCompletion(
   try {
     if (onStream) {
       const resp = await openai.chat.completions.create(
-        { ...input, stream: true },
+        {
+          ...input,
+          stream: true,
+          openpipe: {
+            tags: {
+              prompt_id: "getCompletion",
+              stream: "true",
+            },
+          },
+        },
         {
           maxRetries: 0,
         },
@@ -34,7 +43,16 @@ export async function getCompletion(
       }
     } else {
       const resp = await openai.chat.completions.create(
-        { ...input, stream: false },
+        {
+          ...input,
+          stream: false,
+          openpipe: {
+            tags: {
+              prompt_id: "getCompletion",
+              stream: "false",
+            },
+          },
+        },
         {
           maxRetries: 0,
         },

app/src/modelProviders/openpipe-chat/getCompletion.ts

@@ -17,10 +17,23 @@ const modelEndpoints: Record<OpenpipeChatInput["model"], string> = {
   "NousResearch/Nous-Hermes-llama-2-7b": "https://ua1bpc6kv3dgge-8000.proxy.runpod.net/v1",
 };
 
+const CUSTOM_MODELS_ENABLED = false;
+
 export async function getCompletion(
   input: OpenpipeChatInput,
   onStream: ((partialOutput: OpenpipeChatOutput) => void) | null,
 ): Promise<CompletionResponse<OpenpipeChatOutput>> {
+  // Temporarily disable these models because of GPU constraints
+
+  if (!CUSTOM_MODELS_ENABLED) {
+    return {
+      type: "error",
+      message:
+        "We've disabled this model temporarily because of GPU capacity constraints. Check back later.",
+      autoRetry: false,
+    };
+  }
+
   const { model, messages, ...rest } = input;
 
   const templatedPrompt = frontendModelProvider.models[model].templatePrompt?.(messages);

app/src/modelProviders/replicate-llama2/getCompletion.ts

@@ -8,8 +8,8 @@ const replicate = new Replicate({
 });
 
 const modelIds: Record<ReplicateLlama2Input["model"], string> = {
-  "7b-chat": "7b0bfc9aff140d5b75bacbed23e91fd3c34b01a1e958d32132de6e0a19796e2c",
-  "13b-chat": "2a7f981751ec7fdf87b5b91ad4db53683a98082e9ff7bfd12c8cd5ea85980a52",
+  "7b-chat": "d24902e3fa9b698cc208b5e63136c4e26e828659a9f09827ca6ec5bb83014381",
+  "13b-chat": "9dff94b1bed5af738655d4a7cbcdcde2bd503aa85c94334fe1f42af7f3dd5ee3",
   "70b-chat": "2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1",
 };
 

app/src/pages/data/[id].tsx

@@ -1,97 +0,0 @@
-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>
-  );
-}

app/src/pages/data/index.tsx

@@ -1,49 +0,0 @@
-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>
-  );
-}

app/src/pages/fine-tunes/index.tsx

@@ -0,0 +1,18 @@
+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>
+  );
+}

app/src/pages/request-logs/index.tsx

@@ -1,5 +1,5 @@
 import { useState } from "react";
-import { Text, VStack, Divider, HStack } from "@chakra-ui/react";
+import { Text, VStack, Divider, HStack, Box } from "@chakra-ui/react";
 
 import AppShell from "~/components/nav/AppShell";
 import LoggedCallTable from "~/components/requestLogs/LoggedCallsTable";
@@ -9,6 +9,9 @@ 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";
+import ExportButton from "~/components/requestLogs/ExportButton";
 
 export default function LoggedCalls() {
   const selectedLogIds = useAppStore((s) => s.selectedLogs.selectedLogIds);
@@ -17,19 +20,14 @@ export default function LoggedCalls() {
 
   return (
     <AppShell title="Request Logs" requireAuth>
+      <Box h="100vh" overflowY="scroll">
         <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">
-          <ActionButton
-            onClick={() => {
-              setFiltersShown(!filtersShown);
-            }}
-            label={filtersShown ? "Hide Filters" : "Show Filters"}
-            icon={FiFilter}
-          />
+            <FineTuneButton />
             <ActionButton
               onClick={() => {
                 console.log("experimenting with these ids", selectedLogIds);
@@ -37,12 +35,23 @@ export default function LoggedCalls() {
               label="Experiment"
               icon={RiFlaskLine}
               isDisabled={selectedLogIds.size === 0}
+              requireBeta
+            />
+            <ExportButton />
+            <ColumnVisiblityDropdown />
+            <ActionButton
+              onClick={() => {
+                setFiltersShown(!filtersShown);
+              }}
+              label={filtersShown ? "Hide Filters" : "Show Filters"}
+              icon={FiFilter}
             />
           </HStack>
           {filtersShown && <LogFilters />}
           <LoggedCallTable />
           <LoggedCallsPaginator />
         </VStack>
+      </Box>
     </AppShell>
   );
 }

app/src/server/api/autogenerate/autogenerateDatasetEntries.ts

@@ -1,108 +0,0 @@
-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;
-};

app/src/server/api/autogenerate/autogenerateScenarioValues.ts

@@ -98,6 +98,11 @@ export const autogenerateScenarioValues = async (
 
       function_call: { name: "add_scenario" },
       temperature: 0.5,
+      openpipe: {
+        tags: {
+          prompt_id: "autogenerateScenarioValues",
+        },
+      },
     });
 
     const parsed = JSON.parse(

app/src/server/api/root.router.ts

@@ -6,11 +6,10 @@ 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";
 
@@ -27,11 +26,10 @@ 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,
 });

app/src/server/api/routers/datasetEntries.router.ts

@@ -1,145 +0,0 @@
-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,
-        },
-      });
-    }),
-});

app/src/server/api/routers/datasets.router.ts

@@ -1,88 +0,0 @@
-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,
-        },
-      });
-    }),
-});

app/src/server/api/routers/fineTunes.router.ts

@@ -0,0 +1,113 @@
+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();
+    }),
+});

app/src/server/api/routers/loggedCalls.router.ts

@@ -1,11 +1,16 @@
 import { z } from "zod";
 import { type Expression, type SqlBool, sql, type RawBuilder } from "kysely";
 import { jsonArrayFrom } from "kysely/helpers/postgres";
+import archiver from "archiver";
+import { WritableStreamBuffer } from "stream-buffers";
+import { type JsonValue } from "type-fest";
+import { shuffle } from "lodash-es";
 
 import { createTRPCRouter, protectedProcedure } from "~/server/api/trpc";
 import { kysely, prisma } from "~/server/db";
 import { comparators, defaultFilterableFields } from "~/state/logFiltersSlice";
 import { requireCanViewProject } from "~/utils/accessControl";
+import hashObject from "~/server/utils/hashObject";
 
 // create comparator type based off of comparators
 const comparatorToSqlExpression = (comparator: (typeof comparators)[number], value: string) => {
@@ -180,4 +185,102 @@ export const loggedCallsRouter = createTRPCRouter({
 
       return tags.map((tag) => tag.name);
     }),
+  export: protectedProcedure
+    .input(
+      z.object({
+        projectId: z.string(),
+        selectedLogIds: z.string().array(),
+        testingSplit: z.number(),
+        selectedExportFormat: z.string(),
+        removeDuplicates: z.boolean(),
+      }),
+    )
+    .mutation(async ({ input, ctx }) => {
+      await requireCanViewProject(input.projectId, ctx);
+
+      // Fetch the real data using Prisma
+      const loggedCallsFromDb = await ctx.prisma.loggedCallModelResponse.findMany({
+        where: {
+          originalLoggedCall: {
+            projectId: input.projectId,
+            id: { in: input.selectedLogIds },
+          },
+          statusCode: 200,
+        },
+      });
+
+      // Convert the database data into the desired format
+      let formattedLoggedCalls: { instruction: JsonValue[]; output: JsonValue }[] =
+        loggedCallsFromDb.map((call) => ({
+          instruction: (call.reqPayload as unknown as Record<string, unknown>)
+            .messages as JsonValue[],
+          output: (call.respPayload as unknown as { choices: { message: unknown }[] }).choices[0]
+            ?.message as JsonValue,
+        }));
+
+      if (input.removeDuplicates) {
+        const deduplicatedLoggedCalls = [];
+        const loggedCallHashSet = new Set<string>();
+        for (const loggedCall of formattedLoggedCalls) {
+          const loggedCallHash = hashObject(loggedCall);
+          if (!loggedCallHashSet.has(loggedCallHash)) {
+            loggedCallHashSet.add(loggedCallHash);
+            deduplicatedLoggedCalls.push(loggedCall);
+          }
+        }
+        formattedLoggedCalls = deduplicatedLoggedCalls;
+      }
+
+      // Remove duplicate messages from instructions
+      const instructionMessageHashMap = new Map<string, number>();
+      for (const loggedCall of formattedLoggedCalls) {
+        for (const message of loggedCall.instruction) {
+          const hash = hashObject(message);
+          if (instructionMessageHashMap.has(hash)) {
+            // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
+            instructionMessageHashMap.set(hash, instructionMessageHashMap.get(hash)! + 1);
+          } else {
+            instructionMessageHashMap.set(hash, 0);
+          }
+        }
+      }
+      for (const loggedCall of formattedLoggedCalls) {
+        loggedCall.instruction = loggedCall.instruction.filter((message) => {
+          const hash = hashObject(message);
+          // If the same message appears in a single instruction multiple times, there is some danger of
+          // it being removed from all logged calls. This is enough of an edge case that we don't
+          // need to worry about it for now.
+          // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
+          return instructionMessageHashMap.get(hash)! < formattedLoggedCalls.length;
+        });
+      }
+
+      // Stringify instructions and outputs
+      const stringifiedLoggedCalls = shuffle(formattedLoggedCalls).map((loggedCall) => ({
+        instruction: JSON.stringify(loggedCall.instruction),
+        output: JSON.stringify(loggedCall.output),
+      }));
+
+      const splitIndex = Math.floor((stringifiedLoggedCalls.length * input.testingSplit) / 100);
+
+      const testingData = stringifiedLoggedCalls.slice(0, splitIndex);
+      const trainingData = stringifiedLoggedCalls.slice(splitIndex);
+
+      // Convert arrays to JSONL format
+      const trainingDataJSONL = trainingData.map((item) => JSON.stringify(item)).join("\n");
+      const testingDataJSONL = testingData.map((item) => JSON.stringify(item)).join("\n");
+
+      const output = new WritableStreamBuffer();
+      const archive = archiver("zip");
+
+      archive.pipe(output);
+      archive.append(trainingDataJSONL, { name: "train.jsonl" });
+      archive.append(testingDataJSONL, { name: "test.jsonl" });
+      await archive.finalize();
+
+      // Convert buffer to base64
+      const base64 = output.getContents().toString("base64");
+
+      return base64;
+    }),
 });

app/src/server/api/routers/promptVariants.router.ts

@@ -196,7 +196,10 @@ export const promptVariantsRouter = createTRPCRouter({
           ? `${originalVariant?.label} Copy`
           : `Prompt Variant ${largestSortIndex + 2}`;
 
-      const newConstructFn = await deriveNewConstructFn(originalVariant);
+      const newConstructFn = await deriveNewConstructFn(
+        originalVariant,
+        originalVariant?.promptConstructor,
+      );
 
       const createNewVariantAction = prisma.promptVariant.create({
         data: {
@@ -298,6 +301,7 @@ export const promptVariantsRouter = createTRPCRouter({
     .input(
       z.object({
         id: z.string(),
+        originalPromptFn: z.string(),
         instructions: z.string().optional(),
         newModel: z
           .object({
@@ -315,22 +319,21 @@ export const promptVariantsRouter = createTRPCRouter({
       });
       await requireCanModifyExperiment(existing.experimentId, ctx);
 
-      const constructedPrompt = await parsePromptConstructor(existing.promptConstructor);
-
-      if ("error" in constructedPrompt) {
-        return error(constructedPrompt.error);
-      }
-
       const model = input.newModel
         ? modelProviders[input.newModel.provider].models[input.newModel.model]
         : undefined;
 
-      const promptConstructionFn = await deriveNewConstructFn(existing, model, input.instructions);
+      const promptConstructionFn = await deriveNewConstructFn(
+        existing,
+        input.originalPromptFn,
+        model,
+        input.instructions,
+      );
 
       // TODO: Validate promptConstructionFn
       // TODO: Record in some sort of history
 
-      return promptConstructionFn;
+      return success(promptConstructionFn);
     }),
 
   replaceVariant: protectedProcedure

app/src/server/api/routers/scenarioVariantCells.router.ts

@@ -61,7 +61,7 @@ export const scenarioVariantCellsRouter = createTRPCRouter({
         evalsComplete,
       };
     }),
-  forceRefetch: protectedProcedure
+  hardRefetch: protectedProcedure
     .input(
       z.object({
         scenarioId: z.string(),
@@ -85,7 +85,10 @@ export const scenarioVariantCellsRouter = createTRPCRouter({
       });
 
       if (!cell) {
-        await generateNewCell(input.variantId, input.scenarioId, { stream: true });
+        await generateNewCell(input.variantId, input.scenarioId, {
+          stream: true,
+          hardRefetch: true,
+        });
         return;
       }
 
@@ -96,7 +99,7 @@ export const scenarioVariantCellsRouter = createTRPCRouter({
         },
       });
 
-      await queueQueryModel(cell.id, true);
+      await queueQueryModel(cell.id, { stream: true, hardRefetch: true });
     }),
   getTemplatedPromptMessage: publicProcedure
     .input(

app/src/server/tasks/queryModel.task.ts

@@ -25,7 +25,6 @@ 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 },
@@ -153,7 +152,7 @@ export const queryModel = defineTask<QueryModelJob>("queryModel", async (task) =
           stream,
           numPreviousTries: numPreviousTries + 1,
         },
-        { runAt: retryTime, jobKey: cellId },
+        { runAt: retryTime, jobKey: cellId, priority: 3 },
       );
       await prisma.scenarioVariantCell.update({
         where: { id: cellId },
@@ -172,7 +171,13 @@ export const queryModel = defineTask<QueryModelJob>("queryModel", async (task) =
   }
 });
 
-export const queueQueryModel = async (cellId: string, stream: boolean) => {
+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;
+
   await Promise.all([
     prisma.scenarioVariantCell.update({
       where: {
@@ -184,6 +189,13 @@ export const queueQueryModel = async (cellId: string, stream: boolean) => {
         jobQueuedAt: new Date(),
       },
     }),
-    queryModel.enqueue({ cellId, stream, numPreviousTries: 0 }, { jobKey: cellId }),
+
+    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 },
+    ),
   ]);
 };

app/src/server/tasks/runNewEval.task.ts

@@ -13,5 +13,6 @@ export const runNewEval = defineTask<RunNewEvalJob>("runNewEval", async (task) =
 });
 
 export const queueRunNewEval = async (experimentId: string) => {
-  await runNewEval.enqueue({ experimentId });
+  // Evals are lower priority than completions
+  await runNewEval.enqueue({ experimentId }, { priority: 4 });
 };

app/src/server/tasks/test-tasks.ts

@@ -0,0 +1,47 @@
+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;

app/src/server/tasks/worker.ts

@@ -1,5 +1,6 @@
 import { type TaskList, run } from "graphile-worker";
 import "dotenv/config";
+import "../../../sentry.server.config";
 
 import { env } from "~/env.mjs";
 import { queryModel } from "./queryModel.task";
@@ -18,6 +19,7 @@ const taskList = registeredTasks.reduce((acc, task) => {
 const runner = await run({
   connectionString: env.DATABASE_URL,
   concurrency: env.WORKER_CONCURRENCY,
+  maxPoolSize: env.WORKER_MAX_POOL_SIZE,
   // Install signal handlers for graceful shutdown on SIGINT, SIGTERM, etc
   noHandleSignals: false,
   pollInterval: 1000,

app/src/server/utils/deriveNewContructFn.ts

@@ -12,36 +12,43 @@ const isolate = new ivm.Isolate({ memoryLimit: 128 });
 
 export async function deriveNewConstructFn(
   originalVariant: PromptVariant | null,
+  originalPromptFn?: string,
   newModel?: Model,
   instructions?: string,
 ) {
-  if (originalVariant && !newModel && !instructions) {
-    return originalVariant.promptConstructor;
+  if (originalPromptFn && !newModel && !instructions) {
+    return originalPromptFn;
   }
-  if (originalVariant && (newModel || instructions)) {
-    return await requestUpdatedPromptFunction(originalVariant, newModel, instructions);
+  if (originalVariant && originalPromptFn && (newModel || instructions)) {
+    return await requestUpdatedPromptFunction(
+      originalVariant,
+      originalPromptFn,
+      newModel,
+      instructions,
+    );
   }
   return dedent`
-    prompt = {
-      model: "gpt-3.5-turbo",
+  definePrompt("openai/ChatCompletion", {
+    model: "gpt-3.5-turbo-0613",
     messages: [
       {
         role: "system",
-          content: "Return 'Hello, world!'",
-        }
-      ]
-    }`;
+        content: \`Hello, world!\`,
+      },
+    ],
+  });`;
 }
 
 const NUM_RETRIES = 5;
 const requestUpdatedPromptFunction = async (
   originalVariant: PromptVariant,
+  originalPromptFn: string,
   newModel?: Model,
   instructions?: string,
 ) => {
   const originalModelProvider = modelProviders[originalVariant.modelProvider as SupportedProvider];
   const originalModel = originalModelProvider.models[originalVariant.model] as Model;
-  let newContructionFn = "";
+  let newConstructionFn = "";
   for (let i = 0; i < NUM_RETRIES; i++) {
     try {
       const messages: CreateChatCompletionRequestMessage[] = [
@@ -55,7 +62,7 @@ const requestUpdatedPromptFunction = async (
         },
         {
           role: "user",
-          content: `This is the current prompt constructor function:\n---\n${originalVariant.promptConstructor}`,
+          content: `This is the current prompt constructor function:\n---\n${originalPromptFn}`,
         },
       ];
       if (newModel) {
@@ -109,6 +116,12 @@ 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 || "{}";
 
@@ -131,7 +144,7 @@ const requestUpdatedPromptFunction = async (
       const args = await contructPromptFunctionArgs.copy(); // Get the actual value from the isolate
 
       if (args && isObject(args) && "new_prompt_function" in args) {
-        newContructionFn = await formatPromptConstructor(args.new_prompt_function as string);
+        newConstructionFn = await formatPromptConstructor(args.new_prompt_function as string);
         break;
       }
     } catch (e) {
@@ -139,5 +152,5 @@ const requestUpdatedPromptFunction = async (
     }
   }
 
-  return newContructionFn;
+  return newConstructionFn;
 };

app/src/server/utils/generateNewCell.ts

@@ -9,10 +9,8 @@ import parsePromptConstructor from "~/promptConstructor/parse";
 export const generateNewCell = async (
   variantId: string,
   scenarioId: string,
-  options?: { stream?: boolean },
+  options: { stream?: boolean; hardRefetch?: boolean } = {},
 ): Promise<void> => {
-  const stream = options?.stream ?? false;
-
   const variant = await prisma.promptVariant.findUnique({
     where: {
       id: variantId,
@@ -121,6 +119,6 @@ export const generateNewCell = async (
       }),
     );
   } else {
-    await queueQueryModel(cell.id, stream);
+    await queueQueryModel(cell.id, options);
   }
 };

app/src/server/utils/openai.ts

@@ -1,6 +1,6 @@
 import fs from "fs";
 import path from "path";
-import OpenAI, { type ClientOptions } from "openpipe/src/openai";
+import OpenAI, { type ClientOptions } from "openpipe/openai";
 
 import { env } from "~/env.mjs";
 
@@ -17,13 +17,7 @@ try {
   // Set a dummy key so it doesn't fail at build time
   config = {
     apiKey: env.OPENAI_API_KEY ?? "dummy-key",
-    openpipe: {
-      apiKey: env.OPENPIPE_API_KEY,
-      baseUrl: "http://localhost:3000/api/v1",
-    },
   };
 }
 
-// export const openai = env.OPENPIPE_API_KEY ? new OpenAI.OpenAI(config) : new OriginalOpenAI(config);
-
 export const openai = new OpenAI(config);

app/src/server/utils/runOneEval.ts

@@ -53,6 +53,11 @@ export const runGpt4Eval = async (
         },
       },
     ],
+    openpipe: {
+      tags: {
+        prompt_id: "runOneEval",
+      },
+    },
   });
 
   try {

app/src/state/columnVisiblitySlice.ts

@@ -0,0 +1,37 @@
+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);
+    }),
+});

app/src/state/featureFlags.ts

@@ -0,0 +1,23 @@
+import { type SliceCreator } from "./store";
+
+export type FeatureFlagsSlice = {
+  flagsLoaded: boolean;
+  featureFlags: {
+    betaAccess: boolean;
+  };
+  setFeatureFlags: (flags: string[] | undefined) => void;
+};
+
+export const createFeatureFlagsSlice: SliceCreator<FeatureFlagsSlice> = (set) => ({
+  flagsLoaded: false,
+  featureFlags: {
+    betaAccess: false,
+  },
+  setFeatureFlags: (flags) =>
+    set((state) => {
+      state.featureFlags.featureFlags = {
+        betaAccess: flags?.includes("betaAccess") ?? false,
+      };
+      state.featureFlags.flagsLoaded = true;
+    }),
+});

app/src/state/persist.ts

@@ -1,13 +1,27 @@
 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 const stateToPersist = {
-  selectedProjectId: null as string | null,
-};
+export type PersistedState = PartialDeep<State>;
 
-export const persistOptions: PersistOptions<State, typeof stateToPersist> = {
+export const persistOptions: PersistOptions<State, PersistedState> = {
   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;
+  },
 };

app/src/state/sharedVariantEditor.slice.ts

@@ -1,16 +1,26 @@
+import loader, { type Monaco } from "@monaco-editor/loader";
+
 import { type RouterOutputs } from "~/utils/api";
 import { type SliceCreator } from "./store";
-import loader from "@monaco-editor/loader";
 import formatPromptConstructor from "~/promptConstructor/format";
 
 export const editorBackground = "#fafafa";
 
+export type CreatedEditor = ReturnType<Monaco["editor"]["create"]>;
+
+type EditorOptions = {
+  getContent: () => string;
+  setContent: (content: string) => void;
+};
+
 export type SharedVariantEditorSlice = {
-  monaco: null | ReturnType<typeof loader.__getMonacoInstance>;
+  monaco: null | Monaco;
   loadMonaco: () => Promise<void>;
   scenarioVars: RouterOutputs["scenarioVars"]["list"];
   updateScenariosModel: () => void;
   setScenarioVars: (scenarioVars: RouterOutputs["scenarioVars"]["list"]) => void;
+  editorOptionsMap: Record<string, EditorOptions>;
+  updateOptionsForEditor: (uiId: string, { getContent, setContent }: EditorOptions) => void;
 };
 
 export const createVariantEditorSlice: SliceCreator<SharedVariantEditorSlice> = (set, get) => ({
@@ -93,4 +103,10 @@ export const createVariantEditorSlice: SliceCreator<SharedVariantEditorSlice> =
       );
     }
   },
+  editorOptionsMap: {},
+  updateOptionsForEditor: (uiId, options) => {
+    set((state) => {
+      state.sharedVariantEditor.editorOptionsMap[uiId] = options;
+    });
+  },
 });

app/src/state/store.ts

@@ -8,13 +8,16 @@ import {
   createVariantEditorSlice,
 } from "./sharedVariantEditor.slice";
 import { type APIClient } from "~/utils/api";
-import { persistOptions, type stateToPersist } from "./persist";
+import { type PersistedState, persistOptions } from "./persist";
 import { type SelectedLogsSlice, createSelectedLogsSlice } from "./selectedLogsSlice";
 import { type LogFiltersSlice, createLogFiltersSlice } from "./logFiltersSlice";
+import { type ColumnVisibilitySlice, createColumnVisibilitySlice } from "./columnVisiblitySlice";
+import { type FeatureFlagsSlice, createFeatureFlagsSlice } from "./featureFlags";
 
 enableMapSet();
 
 export type State = {
+  isRehydrated: boolean;
   drawerOpen: boolean;
   openDrawer: () => void;
   closeDrawer: () => void;
@@ -25,6 +28,8 @@ export type State = {
   setSelectedProjectId: (id: string) => void;
   selectedLogs: SelectedLogsSlice;
   logFilters: LogFiltersSlice;
+  columnVisibility: ColumnVisibilitySlice;
+  featureFlags: FeatureFlagsSlice;
 };
 
 export type SliceCreator<T> = StateCreator<State, [["zustand/immer", never]], [], T>;
@@ -32,18 +37,15 @@ 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", typeof stateToPersist], ["zustand/immer", never]]
->(
+const useBaseStore = create<State, [["zustand/persist", PersistedState], ["zustand/immer", never]]>(
   persist(
     immer((set, get, ...rest) => ({
+      isRehydrated: false,
       api: null,
       setApi: (api) =>
         set((state) => {
           state.api = api;
         }),
-
       drawerOpen: false,
       openDrawer: () =>
         set((state) => {
@@ -61,6 +63,8 @@ const useBaseStore = create<
         }),
       selectedLogs: createSelectedLogsSlice(set, get, ...rest),
       logFilters: createLogFiltersSlice(set, get, ...rest),
+      columnVisibility: createColumnVisibilitySlice(set, get, ...rest),
+      featureFlags: createFeatureFlagsSlice(set, get, ...rest),
     })),
     persistOptions,
   ),

app/src/utils/accessControl.ts

@@ -78,33 +78,6 @@ 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();

app/src/utils/analytics/posthog.tsx

@@ -1,11 +1,12 @@
 "use client";
 import { useSession } from "next-auth/react";
 import React, { type ReactNode, useEffect } from "react";
-import { PostHogProvider } from "posthog-js/react";
+import { PostHogProvider, useActiveFeatureFlags } from "posthog-js/react";
 
 import posthog from "posthog-js";
 import { env } from "~/env.mjs";
 import { useRouter } from "next/router";
+import { useAppStore } from "~/state/store";
 
 // Make sure we're in the browser
 const inBrowser = typeof window !== "undefined";
@@ -24,6 +25,14 @@ export const PosthogAppProvider = ({ children }: { children: ReactNode }) => {
     };
   }, [router.events]);
 
+  const setFeatureFlags = useAppStore((s) => s.featureFlags.setFeatureFlags);
+  const activeFlags = useActiveFeatureFlags();
+  useEffect(() => {
+    if (activeFlags) {
+      setFeatureFlags(activeFlags);
+    }
+  }, [activeFlags, setFeatureFlags]);
+
   useEffect(() => {
     if (env.NEXT_PUBLIC_POSTHOG_KEY && inBrowser && session && session.user) {
       posthog.init(env.NEXT_PUBLIC_POSTHOG_KEY, {

app/src/utils/hooks.ts

@@ -26,34 +26,6 @@ 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>(
@@ -176,13 +148,13 @@ export const useScenarioVars = () => {
   );
 };
 
-export const useLoggedCalls = () => {
+export const useLoggedCalls = (applyFilters = true) => {
   const selectedProjectId = useAppStore((state) => state.selectedProjectId);
   const { page, pageSize } = usePageParams();
   const filters = useAppStore((state) => state.logFilters.filters);
 
   const { data, isLoading, ...rest } = api.loggedCalls.list.useQuery(
-    { projectId: selectedProjectId ?? "", page, pageSize, filters },
+    { projectId: selectedProjectId ?? "", page, pageSize, filters: applyFilters ? filters : [] },
     { enabled: !!selectedProjectId },
   );
 
@@ -205,3 +177,22 @@ 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;
+};

app/test-docker.sh

@@ -1,9 +0,0 @@
-#! /bin/bash
-
-set -e
-
-cd "$(dirname "$0")/.."
-
-source app/.env
-
-docker build . --file app/Dockerfile

client-libs/python/README.md

@@ -0,0 +1,41 @@
+# 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 (2) 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 now use your new OpenAI client, which functions identically to the generic OpenAI client while also reporting calls to your OpenPipe instance.
+
+## 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"}},
+)
+```

client-libs/python/openpipe/LICENSE

@@ -0,0 +1,202 @@
+
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+                           Version 2.0, January 2004
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+
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client-libs/python/openpipe/openai.py

@@ -4,7 +4,7 @@ import time
 import inspect
 
 from openpipe.merge_openai_chunks import merge_openai_chunks
-from openpipe.openpipe_meta import OpenPipeMeta
+from openpipe.openpipe_meta import openpipe_meta
 
 from .shared import (
     _should_check_cache,
@@ -41,9 +41,11 @@ class WrappedChatCompletion(original_openai.ChatCompletion):
                         )
 
                         cache_status = (
-                            "MISS" if _should_check_cache(openpipe_options) else "SKIP"
+                            "MISS"
+                            if _should_check_cache(openpipe_options, kwargs)
+                            else "SKIP"
                         )
-                        chunk.openpipe = OpenPipeMeta(cache_status=cache_status)
+                        chunk.openpipe = openpipe_meta(cache_status=cache_status)
 
                         yield chunk
 
@@ -72,9 +74,9 @@ class WrappedChatCompletion(original_openai.ChatCompletion):
                 )
 
                 cache_status = (
-                    "MISS" if _should_check_cache(openpipe_options) else "SKIP"
+                    "MISS" if _should_check_cache(openpipe_options, kwargs) else "SKIP"
                 )
-                chat_completion["openpipe"] = OpenPipeMeta(cache_status=cache_status)
+                chat_completion["openpipe"] = openpipe_meta(cache_status=cache_status)
             return chat_completion
         except Exception as e:
             received_at = int(time.time() * 1000)
@@ -126,9 +128,11 @@ class WrappedChatCompletion(original_openai.ChatCompletion):
                             assembled_completion, chunk
                         )
                         cache_status = (
-                            "MISS" if _should_check_cache(openpipe_options) else "SKIP"
+                            "MISS"
+                            if _should_check_cache(openpipe_options, kwargs)
+                            else "SKIP"
                         )
-                        chunk.openpipe = OpenPipeMeta(cache_status=cache_status)
+                        chunk.openpipe = openpipe_meta(cache_status=cache_status)
 
                         yield chunk
 
@@ -157,9 +161,9 @@ class WrappedChatCompletion(original_openai.ChatCompletion):
                 )
 
                 cache_status = (
-                    "MISS" if _should_check_cache(openpipe_options) else "SKIP"
+                    "MISS" if _should_check_cache(openpipe_options, kwargs) else "SKIP"
                 )
-                chat_completion["openpipe"] = OpenPipeMeta(cache_status=cache_status)
+                chat_completion["openpipe"] = openpipe_meta(cache_status=cache_status)
 
             return chat_completion
         except Exception as e:

client-libs/python/openpipe/openpipe_meta.py

@@ -1,7 +1,2 @@
-from attr import dataclass
-
-
-@dataclass
-class OpenPipeMeta:
-    # Cache status. One of 'HIT', 'MISS', 'SKIP'
-    cache_status: str
+def openpipe_meta(cache_status: str):
+    return {"cache_status": cache_status}

client-libs/python/openpipe/shared.py

@@ -6,20 +6,22 @@ from openpipe.api_client.client import AuthenticatedClient
 from openpipe.api_client.models.report_json_body_tags import (
     ReportJsonBodyTags,
 )
-import toml
 import time
-
-version = toml.load("pyproject.toml")["tool"]["poetry"]["version"]
+import os
+import pkg_resources
 
 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 {}
     tags["$sdk"] = "python"
-    tags["$sdk.version"] = version
+    tags["$sdk.version"] = pkg_resources.get_distribution('openpipe').version
 
     return ReportJsonBodyTags.from_dict(tags)
 

client-libs/python/openpipe/test_client.py

@@ -27,12 +27,14 @@ 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"]
@@ -42,7 +44,7 @@ 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():
@@ -75,7 +77,7 @@ 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():
@@ -87,7 +89,7 @@ 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()
@@ -100,7 +102,7 @@ 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():
@@ -146,7 +148,7 @@ 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 (
@@ -159,4 +161,4 @@ async def test_caching():
         messages=messages,
         openpipe={"cache": True},
     )
-    assert completion2.openpipe.cache_status == "HIT"
+    assert completion2.openpipe["cache_status"] == "HIT"

client-libs/python/poetry.lock

@@ -1056,6 +1056,7 @@ files = [
     {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"},
     {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"},
     {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"},
+    {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
     {file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
     {file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
     {file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
@@ -1063,8 +1064,15 @@ files = [
     {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"},
     {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"},
     {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"},
+    {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"},
     {file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"},
     {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
+    {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
+    {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
+    {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
+    {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
+    {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
+    {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
     {file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"},
     {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"},
     {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"},
@@ -1081,6 +1089,7 @@ files = [
     {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"},
     {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
     {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
+    {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
     {file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
     {file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
     {file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
@@ -1088,6 +1097,7 @@ files = [
     {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"},
     {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"},
     {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"},
+    {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"},
     {file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"},
     {file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
     {file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
@@ -1147,17 +1157,6 @@ files = [
     {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
 ]
 
-[[package]]
-name = "toml"
-version = "0.10.2"
-description = "Python Library for Tom's Obvious, Minimal Language"
-optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
-files = [
-    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
-    {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
-]
-
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -1367,4 +1366,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "e93c2ecac1b81a4fc1f9ad3dcedf03b1126cc6815e084ae233da7d3ece313ade"
+content-hash = "f50c3ee43ebb9510bf42b9a16d8d6a92d561bec40e8f3c11fb2614e92a5b756f"

client-libs/python/publish.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+set -e
+
+# Check if PYPI_OPENPIPE_TOKEN is set
+if [[ -z "${PYPI_OPENPIPE_TOKEN}" ]]; then
+    echo "Error: PYPI_OPENPIPE_TOKEN is not set."
+    exit 1
+fi
+
+# If the token is set, proceed with publishing
+poetry publish --build --username=__token__ --password=$PYPI_OPENPIPE_TOKEN

client-libs/python/pyproject.toml

@@ -1,9 +1,12 @@
 [tool.poetry]
 name = "openpipe"
-version = "0.1.0"
-description = ""
-authors = ["Kyle Corbitt <kyle@corbt.com>"]
+version = "3.1.2"
+description = "Python client library for the OpenPipe service"
+authors = ["Kyle Corbitt <kyle@openpipe.ai>"]
 license = "Apache-2.0"
+readme = "README.md"
+homepage = "https://github.com/OpenPipe/OpenPipe"
+repository = "https://github.com/OpenPipe/OpenPipe"
 
 [tool.poetry.dependencies]
 python = "^3.9"
@@ -11,7 +14,6 @@ openai = "^0.27.8"
 httpx = "^0.24.1"
 attrs = "^23.1.0"
 python-dateutil = "^2.8.2"
-toml = "^0.10.2"
 
 [tool.poetry.dev-dependencies]
 

client-libs/typescript/README.md

@@ -0,0 +1,70 @@
+# OpenPipe Node API Library
+
+[![NPM version](https://img.shields.io/npm/v/openpipe.svg)](https://npmjs.org/package/openpipe)
+
+This library wraps TypeScript or Javascript OpenAI API calls and logs additional data to the configured `OPENPIPE_BASE_URL` for further processing.
+
+It is fully compatible with OpenAI's sdk and logs both streaming and non-streaming requests and responses.
+
+<!-- To learn more about using OpenPipe, check out our [Documentation](https://docs.openpipe.ai/docs/api). -->
+
+## Installation
+
+```sh
+npm install --save openpipe
+# or
+yarn add 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.
+
+```js
+// import OpenAI from 'openai'
+import OpenAI from "openpipe/openai";
+
+// Fully compatible with original OpenAI initialization
+const openai = new OpenAI({
+  apiKey: "my api key", // defaults to process.env["OPENAI_API_KEY"]
+  // openpipe key is optional
+  openpipe: {
+    apiKey: "my api key", // defaults to process.env["OPENPIPE_API_KEY"]
+    baseUrl: "my url", // defaults to process.env["OPENPIPE_BASE_URL"] or https://app.openpipe.ai/api/v1 if not set
+  },
+});
+
+async function main() {
+  // Allows optional openpipe object
+  const completion = await openai.chat.completions.create({
+    messages: [{ role: "user", content: "Say this is a test" }],
+    model: "gpt-3.5-turbo",
+    // optional
+    openpipe: {
+      // Add custom searchable tags
+      tags: {
+        prompt_id: "getCompletion",
+        any_key: "any_value",
+      },
+    },
+  });
+
+  console.log(completion.choices);
+}
+
+main();
+```
+
+## FAQ
+
+<b><i>How do I report calls to my self-hosted instance?</i></b>
+
+Start an instance by following the instructions on [Running Locally](https://github.com/OpenPipe/OpenPipe#running-locally). Once it's running, point your `OPENPIPE_BASE_URL` to your self-hosted instance.
+
+<b><i>What if my `OPENPIPE_BASE_URL` is misconfigured or my instance goes down? Will my OpenAI calls stop working?</i></b>
+
+Your OpenAI calls will continue to function as expected no matter what. The sdk handles logging errors gracefully without affecting OpenAI inference.
+
+See the [GitHub repo](https://github.com/OpenPipe/OpenPipe) for more details.

client-libs/typescript/build.sh

@@ -0,0 +1,27 @@
+#!/usr/bin/env bash
+
+# Adapted from https://github.com/openai/openai-node/blob/master/build
+
+set -exuo pipefail
+
+rm -rf dist /tmp/openpipe-build-dist
+
+mkdir /tmp/openpipe-build-dist
+
+cp -rp * /tmp/openpipe-build-dist
+
+# Rename package name in package.json
+python3 -c "
+import json
+with open('/tmp/openpipe-build-dist/package.json', 'r') as f:
+    data = json.load(f)
+data['name'] = 'openpipe'
+with open('/tmp/openpipe-build-dist/package.json', 'w') as f:
+    json.dump(data, f, indent=4)
+"
+
+rm -rf /tmp/openpipe-build-dist/node_modules
+mv /tmp/openpipe-build-dist dist
+
+# build to .js files
+(cd dist && npm exec tsc -- --noEmit false)