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58 Commits

Author SHA1 Message Date
David Corbitt
83d71c6e9d Record updated version number 2023-08-31 22:12:29 -07:00
David Corbitt
1693ac1c58 Publish updated README to npm 2023-08-31 22:09:03 -07:00
David Corbitt
8de0c0fc5a Update npm lib README 2023-08-31 21:57:30 -07:00
David Corbitt
3ed390c941 Close project menu after creating a project 2023-08-31 19:31:28 -07:00
David Corbitt
fa16dd61dc Add publish script 2023-08-31 18:49:03 -07:00
David Corbitt
cb73598148 Update package version 2023-08-31 18:48:56 -07:00
David Corbitt
2f01e53cf3 Update README 2023-08-31 18:48:44 -07:00
arcticfly
5b8113d8e7 Add links to docs, remove beta block from Dashboard and Request Logs (#208)
* 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
2023-08-31 17:17:20 -07:00
arcticfly
96a589e401 Add docs (#207)
* Add docs folder with introduction, overview, and getting started

* Add feature pages

* Remove some of Who We Are
2023-08-31 13:20:08 -07:00
arcticfly
16354d83df Update README.md 2023-08-31 00:07:23 -07:00
arcticfly
6a5afd0c9b Update README.md 2023-08-29 23:03:15 -07:00
Kyle Corbitt
1684663ddc Publish the ingestion library to NPM (#204)
* Update client libs typescript README

* Create index.d.ts files

* Publish the ingestion library to NPM

Library is now published at https://www.npmjs.com/package/openpipe; see README for details.

* Rename package.json in /dist folder

* Increment patch version

* Increment package version

* Add newline to publish.sh

---------

Co-authored-by: David Corbitt <davidlcorbitt@gmail.com>
2023-08-29 12:18:57 -07:00
arcticfly
70fae68225 Share and delete experiment from ExperimentCard (#206)
* Refactor DeleteExperimentDialog into separate component

* Add CardMenu to ExperimentCard
2023-08-29 11:53:18 -07:00
sweep-ai[bot]
518c8620d0 Configure Sweep (#202)
* Create sweep template

* Create sweep slow template

* Create sweep fast template

---------

Co-authored-by: sweep-ai[bot] <128439645+sweep-ai[bot]@users.noreply.github.com>
2023-08-29 11:50:27 -07:00
arcticfly
ab87794192 Fix prompt duplication (#205)
* Update client libs typescript README

* Properly duplicate variant
2023-08-28 16:10:56 -07:00
arcticfly
48aa697002 Update replicate versions (#201)
* Update client libs typescript README

* Update replicate versions
2023-08-28 11:20:09 -07:00
arcticfly
55f2be861e Minor edits (#196)
* Add command to delete last fine tune

* Change ids in seeded dashboard

* Change fine tune icon
2023-08-27 18:53:02 -07:00
arcticfly
fa87887e91 Set contents of editor for refinement modals instead of saving on server (#199)
* Set contents of editor for refinement modals instead of saving on server

* Show New Experiment text on mobile
2023-08-27 18:52:25 -07:00
Kyle Corbitt
28713fb3ef Merge pull request #197 from OpenPipe:hide-models
Disable custom models for the moment
2023-08-25 16:02:39 -07:00
Kyle Corbitt
ead981b900 Disable custom models for the moment
We're running into GPU constraints and need to turn off custom models until we find a better provider or can hot-swap them.
2023-08-25 16:01:51 -07:00
Kyle Corbitt
e0d0cc0df1 Merge pull request #193 from OpenPipe/examples
classify-recipes example
2023-08-25 12:46:01 -07:00
Kyle Corbitt
b4cb931f6c first version of example ready 2023-08-25 06:37:06 +00:00
arcticfly
7df1c59bd3 Update README.md 2023-08-24 22:23:40 -07:00
arcticfly
c83863f468 Update README.md 2023-08-24 20:59:46 -07:00
Kyle Corbitt
40638a7848 more work 2023-08-24 23:49:44 +00:00
arcticfly
33ca98b267 Enlarge fine-tune gif 2023-08-24 14:14:38 -07:00
arcticfly
39c943f2ec Change layout of README.md 2023-08-24 14:13:01 -07:00
Kyle Corbitt
14eae45d18 more benchmarking 2023-08-24 19:52:31 +00:00
arcticfly
2aa4ac1594 Update opening gif in README.md 2023-08-24 12:46:25 -07:00
Kyle Corbitt
13bac46e0b generate-data and some eval 2023-08-24 18:43:42 +00:00
arcticfly
42ade01f22 Update README.md 2023-08-24 11:14:25 -07:00
David Corbitt
59b79049c1 Move license to top level 2023-08-24 10:41:23 -07:00
arcticfly
0d7433cb7e Update README.md
Include more models
2023-08-24 00:13:24 -07:00
Kyle Corbitt
12d01cd3d5 initial example work 2023-08-24 07:05:28 +00:00
arcticfly
ec59252010 Wrap in Portal (#191) 2023-08-23 23:48:53 -07:00
arcticfly
87e2339df2 Remove openpipe object from config (#190)
* Remove openpipe object from config

* Remove comment
2023-08-23 23:31:39 -07:00
arcticfly
75ad6619a5 Add InfoCircles (#189) 2023-08-23 22:06:37 -07:00
Kyle Corbitt
4b8941d53a Merge pull request #188 from OpenPipe/export-fixes
Export fixes
2023-08-23 21:30:36 -07:00
David Corbitt
0d691d17cc Rename input to instruction in alpaca format 2023-08-23 21:26:28 -07:00
David Corbitt
815d4faad2 Fix mobile export styles 2023-08-23 21:21:09 -07:00
arcticfly
9632ccbc71 Export formatted logged calls (#187)
* Export formatted data

* Properly update inputMessageHashMap

* Hide remove duplicates checkbox in advanced options

* Remove unused import
2023-08-23 20:45:27 -07:00
Kyle Corbitt
a4131e4a10 Merge pull request #186 from OpenPipe/python-client
Python client
2023-08-23 19:37:55 -07:00
Kyle Corbitt
db1c8f171d Python client published 2023-08-23 19:37:05 -07:00
David Corbitt
678392ef17 Wait until flags are loaded to show beta modal 2023-08-23 18:27:39 -07:00
arcticfly
af722128e8 Use feature flags to control beta features (#185)
* Use feature flags to control beta features

* Remove references to beta env variable
2023-08-23 18:18:56 -07:00
Kyle Corbitt
50a79b6e3a python compat fixes 2023-08-23 17:14:19 -07:00
arcticfly
f59150ff5b Add flow for fine-tuning (#183)
* Remove unnecessary dataset code

* Fix jump on row selection

* Add FineTuneButton

* Add model slug to modal

* Add fine tunes to schema

* Remove dataset routers

* Remove more dataset-specific code

* Remove more data code

* Fix horizontal scroll bar jumping

* Add fine tunes page

* Actually create the fine tune entry

* Add beta modal

* Require beta for fine tunes and request logs

* Send user to waitlist link

* control beta features in .env variable

* Combine migration files

* Show beta features in app shell

* Clear selected log ids last when closing fine tune modal

* Remove ModalCloseButton from BetaModal

* Remove unused import

* Change timestamps to camelCase
2023-08-23 16:13:21 -07:00
David Corbitt
b58e0a8d54 Merge branch 'main' of github.com:corbt/prompt-lab 2023-08-23 03:29:23 -07:00
David Corbitt
dc82a3fa82 Add variant editor shadow 2023-08-23 03:29:07 -07:00
arcticfly
fedbf5784e Fix padding for mobile sign in (#184) 2023-08-23 01:07:55 -07:00
arcticfly
888c04af50 Allow user to toggle visible columns (#182)
* Maintain tag casing

* Persist column visibility in zustand

* Persist only visibleColumns key

* merge persisted state

* Only show ColumnVisibilityDropdown after rehydration

* Record storage rehydrated

* Add useIsClientRehydrated hook

* Hide ActionButton text on mobile

* Condense Paginator on mobile

---------

Co-authored-by: Kyle Corbitt <kyle@corbt.com>
2023-08-21 23:13:29 -07:00
arcticfly
1b36453051 Update README.md
Comment out most gifs
2023-08-21 13:54:23 -07:00
Kyle Corbitt
2f37b3ed87 Merge pull request #181 from OpenPipe/catch-rejections
Catch unhandled rejections in background worker
2023-08-18 22:58:31 -07:00
Kyle Corbitt
8fa7b691db make max pool size configurable 2023-08-18 22:56:24 -07:00
David Corbitt
17866a5249 Fix typo in newConstructionFn 2023-08-18 21:45:43 -07:00
Kyle Corbitt
947eba3216 Catch unhandled rejections in background worker
Previously, an unhandled promise rejection in the background worker would crash the process. This way we log it and don't crash.
2023-08-18 19:03:54 -07:00
arcticfly
ef1f9458f4 Add prompt ids (#177)
* Add prompt ids

* Add prompt ids
2023-08-18 16:56:17 -07:00
Kyle Corbitt
c6c7e746ee Merge pull request #180 from OpenPipe/priorities
Prioritize job execution
2023-08-18 13:46:31 -07:00
135 changed files with 6195 additions and 1561 deletions

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@@ -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 ...

View File

@@ -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 ...

View File

@@ -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 ...

1
.gitignore vendored
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@@ -3,3 +3,4 @@
*.pyc
node_modules/
*.tsbuildinfo
dist/

107
README.md
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@@ -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
@@ -75,4 +94,4 @@ OpenPipe includes a tool to generate new test scenarios based on your existing p
1. Copy your `.env` file to `.env.test`.
2. Update the `DATABASE_URL` to have a different database name than your development one
3. Run `DATABASE_URL=[your new datatase url] pnpm prisma migrate dev --skip-seed --skip-generate`
4. Run `pnpm test`
4. Run `pnpm test`

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@@ -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">

View File

@@ -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

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@@ -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",

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@@ -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 },
});
}

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@@ -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;

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@@ -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[]
}
@@ -276,8 +278,9 @@ model LoggedCall {
projectId String @db.Uuid
project Project? @relation(fields: [projectId], references: [id], onDelete: Cascade)
model String?
tags LoggedCallTag[]
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
}

View File

@@ -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 =

View File

@@ -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);
});
}

View File

@@ -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>
);
};

View File

@@ -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>

View File

@@ -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}
/>
</>
);
};

View File

@@ -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;

View File

@@ -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

View File

@@ -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>

View File

@@ -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;

View File

@@ -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>

View File

@@ -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 (

View File

@@ -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>

View File

@@ -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;

View File

@@ -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">
@@ -23,22 +24,26 @@ export default function LoggedCallsTable() {
<Table>
<TableHeader />
<Tbody>
{loggedCalls?.calls.map((loggedCall) => {
return (
<TableRow
key={loggedCall.id}
loggedCall={loggedCall}
isExpanded={loggedCall.id === expandedRow}
onToggle={() => {
if (loggedCall.id === expandedRow) {
setExpandedRow(null);
} else {
setExpandedRow(loggedCall.id);
}
}}
/>
);
})}
{loggedCalls?.calls.length ? (
loggedCalls?.calls.map((loggedCall) => {
return (
<TableRow
key={loggedCall.id}
loggedCall={loggedCall}
isExpanded={loggedCall.id === expandedRow}
onToggle={() => {
if (loggedCall.id === expandedRow) {
setExpandedRow(null);
} else {
setExpandedRow(loggedCall.id);
}
}}
/>
);
})
) : (
<EmptyTableRow filtersApplied={false} />
)}
</Tbody>
</Table>
</Card>

View File

@@ -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>
);

View File

@@ -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;

View File

@@ -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;

View File

@@ -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}
/>
</>
);
};

View File

@@ -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>
);
};

View File

@@ -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;

View File

@@ -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;

View File

@@ -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}
>
@@ -38,9 +51,17 @@ 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">
<Icon as={RiFlaskLine} boxSize={4} />
<Text fontWeight="bold">{exp.label}</Text>
<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} />
@@ -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>
);

View File

@@ -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";
}
};

View File

@@ -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 = () => {
@@ -174,15 +186,21 @@ 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 ? `${title} | OpenPipe` : "OpenPipe"}</title>
</Head>
<NavSidebar />
<Box h="100%" flex={1} overflowY="auto" bgColor="gray.50">
{children}
</Box>
</Flex>
<>
<Flex h={vh} w="100vw">
<Head>
<title>{title ? `${title} | OpenPipe` : "OpenPipe"}</title>
</Head>
<NavSidebar />
<Box h="100%" flex={1} overflowY="auto" bgColor="gray.50">
{children}
</Box>
</Flex>
<BetaModal isOpen={!!requireBeta && flagsLoaded && !flags.betaAccess} onClose={router.back} />
</>
);
}

View File

@@ -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;
@@ -109,64 +111,66 @@ export default function ProjectMenu() {
</HStack>
</NavSidebarOption>
</PopoverTrigger>
<PopoverContent
_focusVisible={{ outline: "unset" }}
w={220}
ml={{ base: 2, md: 0 }}
boxShadow="0 0 40px 4px rgba(0, 0, 0, 0.1);"
fontSize="sm"
>
<VStack alignItems="flex-start" spacing={1} py={1}>
<Text px={3} py={2}>
{user?.user.email}
</Text>
<Divider />
<Text alignSelf="flex-start" fontWeight="bold" px={3} pt={2}>
Your Projects
</Text>
<VStack spacing={0} w="full" px={1}>
{projects?.map((proj) => (
<ProjectOption
key={proj.id}
proj={proj}
isActive={proj.id === selectedProjectId}
onClose={popover.onClose}
/>
))}
<HStack
as={Button}
variant="ghost"
colorScheme="blue"
color="blue.400"
fontSize="sm"
justifyContent="flex-start"
onClick={createProject}
w="full"
borderRadius={4}
spacing={0}
>
<Text>Add project</Text>
<Icon as={isLoading ? Spinner : BsPlus} boxSize={4} strokeWidth={0.5} />
</HStack>
</VStack>
<Portal>
<PopoverContent
_focusVisible={{ outline: "unset" }}
w={220}
ml={{ base: 2, md: 0 }}
boxShadow="0 0 40px 4px rgba(0, 0, 0, 0.1);"
fontSize="sm"
>
<VStack alignItems="flex-start" spacing={1} py={1}>
<Text px={3} py={2}>
{user?.user.email}
</Text>
<Divider />
<Text alignSelf="flex-start" fontWeight="bold" px={3} pt={2}>
Your Projects
</Text>
<VStack spacing={0} w="full" px={1}>
{projects?.map((proj) => (
<ProjectOption
key={proj.id}
proj={proj}
isActive={proj.id === selectedProjectId}
onClose={popover.onClose}
/>
))}
<HStack
as={Button}
variant="ghost"
colorScheme="blue"
color="blue.400"
fontSize="sm"
justifyContent="flex-start"
onClick={createProject}
w="full"
borderRadius={4}
spacing={0}
>
<Text>Add project</Text>
<Icon as={isLoading ? Spinner : BsPlus} boxSize={4} strokeWidth={0.5} />
</HStack>
</VStack>
<Divider />
<VStack w="full" px={1}>
<ChakraLink
onClick={() => {
signOut().catch(console.error);
}}
_hover={{ bgColor: "gray.200", textDecoration: "none" }}
w="full"
py={2}
px={2}
borderRadius={4}
>
<Text>Sign out</Text>
</ChakraLink>
<Divider />
<VStack w="full" px={1}>
<ChakraLink
onClick={() => {
signOut().catch(console.error);
}}
_hover={{ bgColor: "gray.200", textDecoration: "none" }}
w="full"
py={2}
px={2}
borderRadius={4}
>
<Text>Sign out</Text>
</ChakraLink>
</VStack>
</VStack>
</VStack>
</PopoverContent>
</PopoverContent>
</Portal>
</Popover>
</VStack>
);

View File

@@ -23,50 +23,48 @@ export default function UserMenu({ user, ...rest }: { user: Session } & StackPro
);
return (
<>
<Popover placement="right">
<PopoverTrigger>
<NavSidebarOption>
<HStack
// Weird values to make mobile look right; can clean up when we make the sidebar disappear on mobile
py={2}
px={1}
spacing={3}
{...rest}
>
{profileImage}
<VStack spacing={0} align="start" flex={1} flexShrink={1}>
<Text fontWeight="bold" fontSize="sm">
{user.user.name}
</Text>
<Text color="gray.500" fontSize="xs">
{/* {user.user.email} */}
</Text>
</VStack>
<Icon as={BsChevronRight} boxSize={4} color="gray.500" />
</HStack>
</NavSidebarOption>
</PopoverTrigger>
<PopoverContent _focusVisible={{ outline: "unset" }} ml={-1} minW={48} w="full">
<VStack align="stretch" spacing={0}>
{/* sign out */}
<HStack
as={Link}
onClick={() => {
signOut().catch(console.error);
}}
px={4}
py={2}
spacing={4}
color="gray.500"
fontSize="sm"
>
<Icon as={BsBoxArrowRight} boxSize={6} />
<Text>Sign out</Text>
</HStack>
</VStack>
</PopoverContent>
</Popover>
</>
<Popover placement="right">
<PopoverTrigger>
<NavSidebarOption>
<HStack
// Weird values to make mobile look right; can clean up when we make the sidebar disappear on mobile
py={2}
px={1}
spacing={3}
{...rest}
>
{profileImage}
<VStack spacing={0} align="start" flex={1} flexShrink={1}>
<Text fontWeight="bold" fontSize="sm">
{user.user.name}
</Text>
<Text color="gray.500" fontSize="xs">
{/* {user.user.email} */}
</Text>
</VStack>
<Icon as={BsChevronRight} boxSize={4} color="gray.500" />
</HStack>
</NavSidebarOption>
</PopoverTrigger>
<PopoverContent _focusVisible={{ outline: "unset" }} ml={-1} minW={48} w="full">
<VStack align="stretch" spacing={0}>
{/* sign out */}
<HStack
as={Link}
onClick={() => {
signOut().catch(console.error);
}}
px={4}
py={2}
spacing={4}
color="gray.500"
fontSize="sm"
>
<Icon as={BsBoxArrowRight} boxSize={6} />
<Text>Sign out</Text>
</HStack>
</VStack>
</PopoverContent>
</Popover>
);
}

View File

@@ -1,29 +1,50 @@
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"
bgColor="white"
borderColor="gray.300"
borderRadius={4}
variant="outline"
size="sm"
fontSize="sm"
fontWeight="normal"
{...buttonProps}
>
<HStack spacing={1}>
{icon && <Icon as={icon} />}
<Text>{label}</Text>
</HStack>
</Button>
<>
<Button
colorScheme="blue"
color="black"
bgColor="white"
borderColor="gray.300"
borderRadius={4}
variant="outline"
size="sm"
fontSize="sm"
fontWeight="normal"
onClick={isBetaBlocked ? () => setBetaModalOpen(true) : onClick}
{...buttonProps}
>
<HStack spacing={1}>
{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)} />
</>
);
};

View File

@@ -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;

View File

@@ -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>
);
};

View File

@@ -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>
);
};

View File

@@ -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);
@@ -10,25 +10,29 @@ export default function LoggedCallsTable() {
return (
<Card width="100%" overflowX="auto">
<Table>
<TableHeader showCheckbox />
<TableHeader showOptions />
<Tbody>
{loggedCalls?.calls?.map((loggedCall) => {
return (
<TableRow
key={loggedCall.id}
loggedCall={loggedCall}
isExpanded={loggedCall.id === expandedRow}
onToggle={() => {
if (loggedCall.id === expandedRow) {
setExpandedRow(null);
} else {
setExpandedRow(loggedCall.id);
}
}}
showCheckbox
/>
);
})}
{loggedCalls?.calls.length ? (
loggedCalls?.calls?.map((loggedCall) => {
return (
<TableRow
key={loggedCall.id}
loggedCall={loggedCall}
isExpanded={loggedCall.id === expandedRow}
onToggle={() => {
if (loggedCall.id === expandedRow) {
setExpandedRow(null);
} else {
setExpandedRow(loggedCall.id);
}
}}
showOptions
/>
);
})
) : (
<EmptyTableRow />
)}
</Tbody>
</Table>
</Card>

View File

@@ -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 (
<>
@@ -100,50 +117,64 @@ export const TableRow = ({
}}
fontSize="sm"
>
{showCheckbox && (
{showOptions && (
<Td>
<Checkbox isChecked={isChecked} onChange={() => toggleChecked(loggedCall.id)} />
</Td>
)}
<Td>
<Tooltip label={fullTime} placement="top">
<Box whiteSpace="nowrap" minW="120px">
{requestedAt}
</Box>
</Tooltip>
</Td>
<Td>
<HStack justifyContent="flex-start">
<Text
colorScheme="purple"
color="purple.500"
borderColor="purple.500"
px={1}
borderRadius={4}
borderWidth={1}
fontSize="xs"
whiteSpace="nowrap"
>
{loggedCall.model}
</Text>
</HStack>
</Td>
{tagNames?.map((tagName) => <Td key={tagName}>{loggedCall.tags[tagName]}</Td>)}
<Td isNumeric>
{loggedCall.cacheHit ? (
<Text color="gray.500">Cached</Text>
) : (
((loggedCall.modelResponse?.durationMs ?? 0) / 1000).toFixed(2) + "s"
)}
</Td>
<Td isNumeric>{loggedCall.modelResponse?.inputTokens}</Td>
<Td isNumeric>{loggedCall.modelResponse?.outputTokens}</Td>
<Td sx={{ color: isError ? "red.500" : "green.500", fontWeight: "semibold" }} isNumeric>
{loggedCall.modelResponse?.statusCode ?? "No response"}
</Td>
{visibleColumns.has(StaticColumnKeys.SENT_AT) && (
<Td>
<Tooltip label={fullTime} placement="top">
<Box whiteSpace="nowrap" minW="120px">
{requestedAt}
</Box>
</Tooltip>
</Td>
)}
{visibleColumns.has(StaticColumnKeys.MODEL) && (
<Td>
<HStack justifyContent="flex-start">
<Text
colorScheme="purple"
color="purple.500"
borderColor="purple.500"
px={1}
borderRadius={4}
borderWidth={1}
fontSize="xs"
whiteSpace="nowrap"
>
{loggedCall.model}
</Text>
</HStack>
</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>
) : (
((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>
);
};

View File

@@ -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.

View File

@@ -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,
},

View File

@@ -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);

View File

@@ -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",
};

View File

@@ -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>
);
}

View File

@@ -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>
);
}

View File

@@ -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>
);
}

View File

@@ -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);
@@ -17,32 +20,38 @@ export default function LoggedCalls() {
return (
<AppShell title="Request Logs" requireAuth>
<VStack px={8} py={8} alignItems="flex-start" spacing={4} w="full">
<Text fontSize="2xl" fontWeight="bold">
Request Logs
</Text>
<Divider />
<HStack w="full" justifyContent="flex-end">
<ActionButton
onClick={() => {
setFiltersShown(!filtersShown);
}}
label={filtersShown ? "Hide Filters" : "Show Filters"}
icon={FiFilter}
/>
<ActionButton
onClick={() => {
console.log("experimenting with these ids", selectedLogIds);
}}
label="Experiment"
icon={RiFlaskLine}
isDisabled={selectedLogIds.size === 0}
/>
</HStack>
{filtersShown && <LogFilters />}
<LoggedCallTable />
<LoggedCallsPaginator />
</VStack>
<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">
<FineTuneButton />
<ActionButton
onClick={() => {
console.log("experimenting with these ids", selectedLogIds);
}}
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>
);
}

View File

@@ -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;
};

View File

@@ -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(

View File

@@ -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,
});

View File

@@ -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,
},
});
}),
});

View File

@@ -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,
},
});
}),
});

View File

@@ -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();
}),
});

View File

@@ -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;
}),
});

View File

@@ -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

View File

@@ -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;

View File

@@ -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,

View File

@@ -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",
messages: [
{
role: "system",
content: "Return 'Hello, world!'",
}
]
}`;
definePrompt("openai/ChatCompletion", {
model: "gpt-3.5-turbo-0613",
messages: [
{
role: "system",
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;
};

View File

@@ -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);

View File

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

View File

@@ -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);
}),
});

View File

@@ -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;
}),
});

View File

@@ -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;
},
};

View File

@@ -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;
});
},
});

View File

@@ -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,
),

View File

@@ -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();

View File

@@ -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, {

View File

@@ -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;
};

View File

@@ -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"}},
)
```

View File

@@ -0,0 +1,202 @@
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See the License for the specific language governing permissions and
limitations under the License.

View File

@@ -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:

View File

@@ -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}

View File

@@ -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)

View File

@@ -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"

View File

@@ -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"

View File

@@ -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

View File

@@ -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]

View File

@@ -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.

27
client-libs/typescript/build.sh Executable file
View File

@@ -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)

View File

@@ -1,3 +1 @@
// main.ts or index.ts at the root level
export * as OpenAI from "./src/openai";
export * as OpenAILegacy from "./src/openai-legacy";
export * as openai from "./openai";

View File

@@ -80,6 +80,7 @@ test("bad call streaming", async () => {
stream: true,
});
} catch (e) {
// @ts-expect-error need to check for error type
await e.openpipe.reportingFinished;
const lastLogged = await lastLoggedCall();
expect(lastLogged?.modelResponse?.errorMessage).toEqual(
@@ -96,7 +97,9 @@ test("bad call", async () => {
messages: [{ role: "system", content: "count to 10" }],
});
} catch (e) {
// @ts-expect-error need to check for error type
assert("openpipe" in e);
// @ts-expect-error need to check for error type
await e.openpipe.reportingFinished;
const lastLogged = await lastLoggedCall();
expect(lastLogged?.modelResponse?.errorMessage).toEqual(
@@ -120,7 +123,8 @@ test("caching", async () => {
await completion.openpipe.reportingFinished;
const firstLogged = await lastLoggedCall();
expect(completion.choices[0].message.content).toEqual(
expect(completion.choices[0]?.message.content).toEqual(
firstLogged?.modelResponse?.respPayload.choices[0].message.content,
);

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