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71 Commits

Author SHA1 Message Date
arcticfly
5df898a4f6 Add support for CommonJS in sdk (#222)
* trying rollup

* Imports mostly working

* Remove yalc.lock

* Use tsup to build

* Disable code splitting

* Update cjs exports

* Use openpipe from npm registry in app

* Remove npmignore, fix lint

* Copy the README to dist

* Update openpipe version

* Remove second openai entrypoint

* Update openpipe version

---------

Co-authored-by: Kyle Corbitt <kyle@corbt.com>
2023-09-12 14:30:37 -07:00
Kyle Corbitt
a33f674ccd more README changes 2023-09-11 20:27:35 -07:00
Kyle Corbitt
0062952eb2 readme links 2023-09-12 00:49:09 +00:00
Kyle Corbitt
381604bc88 Merge pull request #221 from OpenPipe/examples
Examples
2023-09-11 17:48:05 -07:00
Kyle Corbitt
db69b8e496 clean up example 2023-09-12 00:47:22 +00:00
David Corbitt
88be0b07a9 Use alternate credential for blob service client 2023-09-07 13:07:41 -07:00
David Corbitt
ff621f2191 update llama versions 2023-09-07 12:05:18 -07:00
arcticfly
1e98972b6a Add docs for importing data (#217) 2023-09-07 11:10:00 -07:00
arcticfly
c5bca87486 Reword downloading status text (#216)
* Reword downloading status text

* Disable closing modal while sending in progress

* Auto-refresh on upload completion

* Make error red

* Remove red from error message
2023-09-07 10:49:25 -07:00
David Corbitt
fc1f15fee7 Remove experiment button 2023-09-07 09:35:49 -07:00
arcticfly
606a524c11 Allow bulk importing (#215)
* Remove console

* Add upload data modal

* Add dataset entry deletion and export

* Remove consoles

* Upload training data through Azure Blob Storage

* Give progress updates on downloads

* Delete rows in chunks

* Fix lint

* Add FileUploadsCard in bottom right corner
2023-09-07 09:19:47 -07:00
Kyle Corbitt
82b94657b1 fix prod migration 2023-09-05 17:56:34 -07:00
David Corbitt
0a642fac2a Merge branch 'main' of github.com:corbt/prompt-lab 2023-09-05 17:26:03 -07:00
David Corbitt
4d90ff68c8 trigger deploy 2023-09-05 17:25:52 -07:00
arcticfly
6ac554f7e1 Set default value for DatasetEntry input (#214) 2023-09-05 16:42:41 -07:00
arcticfly
422a6ff4c6 Add useful datasets (#213)
* Create dataset from request logs

* Move drawer expansion logic out of app state

* Add empty dataset page

* Properly handle zero dataset state

* Add DatasetEntriesTable

* Open DatasetEntryEditorDrawer on row click

* Add editable messages

* Change Request Logs link to be a span

* Add FunctionCallEditor

* Change styling around

* Stop logging variant stats after a while

* Change FunctionCallEditor widths

* Record input tokens even on errored calls

* Allow user to add messages

* Allow changing from empty text to function call

* Fix some data layout issues

* Default to empty output

* Update arguments on blur

* Add beta flag to datasets tab

* Remove unused import

* Save training and testing datasets on fine tune

* Add DatasetEntryType

* Condense migrations

* Add index to datasetEntry

* Add datasetEntry index

* Fix types

* Enable scrolling beyond last line in VariantEditor

* Divide new dataset entries exactly along training/testing ratio
2023-09-05 15:55:31 -07:00
arcticfly
6153ebda41 Disable streaming for function calls (#212) 2023-09-04 05:40:17 -07:00
arcticfly
b682bd6b78 Fix doc link layout on mobile (#210) 2023-09-01 13:42:48 -07:00
arcticfly
43a22865fd Update python publishing process (#209)
* Update README

* Update package version

* Add publish script

* Close project menu after creating a project

* Update npm lib README

* Publish updated README to npm

* Record updated version number
2023-08-31 22:14:59 -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
Kyle Corbitt
38e28fa30a benchmark comparison to gpt-3.5 and gpt-3.5 finetuned 2023-08-28 03:55:50 +00:00
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
189 changed files with 9882 additions and 1641 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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@@ -40,3 +40,8 @@ SMTP_HOST="placeholder"
SMTP_PORT="placeholder"
SMTP_LOGIN="placeholder"
SMTP_PASSWORD="placeholder"
# Azure credentials are necessary for uploading large training data files
AZURE_STORAGE_ACCOUNT_NAME="placeholder"
AZURE_STORAGE_ACCOUNT_KEY="placeholder"
AZURE_STORAGE_CONTAINER_NAME="placeholder"

4
app/.gitignore vendored
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@@ -47,3 +47,7 @@ yarn-error.log*
# custom openai intialization
src/server/utils/openaiCustomConfig.json
# yalc
.yalc
yalc.lock

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@@ -19,10 +19,11 @@ declare module "nextjs-routes" {
| DynamicRoute<"/api/v1/[...trpc]", { "trpc": string[] }>
| StaticRoute<"/api/v1/openapi">
| StaticRoute<"/dashboard">
| DynamicRoute<"/data/[id]", { "id": string }>
| StaticRoute<"/data">
| DynamicRoute<"/datasets/[id]", { "id": string }>
| StaticRoute<"/datasets">
| DynamicRoute<"/experiments/[experimentSlug]", { "experimentSlug": string }>
| StaticRoute<"/experiments">
| StaticRoute<"/fine-tunes">
| StaticRoute<"/">
| DynamicRoute<"/invitations/[invitationToken]", { "invitationToken": string }>
| StaticRoute<"/project/settings">

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@@ -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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@@ -26,6 +26,8 @@
"dependencies": {
"@anthropic-ai/sdk": "^0.5.8",
"@apidevtools/json-schema-ref-parser": "^10.1.0",
"@azure/identity": "^3.3.0",
"@azure/storage-blob": "12.15.0",
"@babel/standalone": "^7.22.9",
"@chakra-ui/anatomy": "^2.2.0",
"@chakra-ui/next-js": "^2.1.4",
@@ -48,6 +50,7 @@
"@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 +63,7 @@
"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",
@@ -67,6 +71,7 @@
"jsonschema": "^1.4.1",
"kysely": "^0.26.1",
"kysely-codegen": "^0.10.1",
"llama-tokenizer-js": "^1.1.3",
"lodash-es": "^4.17.21",
"lucide-react": "^0.265.0",
"marked": "^7.0.3",
@@ -77,7 +82,8 @@
"nextjs-routes": "^2.0.1",
"nodemailer": "^6.9.4",
"openai": "4.0.0-beta.7",
"openpipe": "workspace:*",
"openpipe": "0.4.0-beta.1",
"openpipe-dev": "workspace:^",
"pg": "^8.11.2",
"pluralize": "^8.0.0",
"posthog-js": "^1.75.3",
@@ -98,6 +104,7 @@
"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 +117,7 @@
},
"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 +134,7 @@
"@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",

View File

@@ -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 },
});
}

View File

@@ -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;

View File

@@ -0,0 +1,26 @@
/*
Warnings:
- Added the required column `inputTokens` to the `DatasetEntry` table without a default value. This is not possible if the table is not empty.
- Added the required column `outputTokens` to the `DatasetEntry` table without a default value. This is not possible if the table is not empty.
- Added the required column `type` to the `DatasetEntry` table without a default value. This is not possible if the table is not empty.
*/
-- CreateEnum
CREATE TYPE "DatasetEntryType" AS ENUM ('TRAIN', 'TEST');
-- AlterTable
ALTER TABLE "Dataset" ADD COLUMN "trainingRatio" DOUBLE PRECISION NOT NULL DEFAULT 0.8;
-- AlterTable
ALTER TABLE "DatasetEntry" ADD COLUMN "input" JSONB NOT NULL DEFAULT '[]',
ADD COLUMN "inputTokens" INTEGER NOT NULL DEFAULT 0,
ADD COLUMN "output" JSONB,
ADD COLUMN "outputTokens" INTEGER NOT NULL DEFAULT 0,
ADD COLUMN "type" "DatasetEntryType" NOT NULL DEFAULT 'TRAIN';
-- CreateIndex
CREATE INDEX "DatasetEntry_datasetId_createdAt_id_idx" ON "DatasetEntry"("datasetId", "createdAt", "id");
-- CreateIndex
CREATE INDEX "DatasetEntry_datasetId_type_idx" ON "DatasetEntry"("datasetId", "type");

View File

@@ -0,0 +1,5 @@
-- AlterTable
ALTER TABLE "DatasetEntry" ALTER COLUMN "loggedCallId" DROP NOT NULL,
ALTER COLUMN "inputTokens" DROP DEFAULT,
ALTER COLUMN "outputTokens" DROP DEFAULT,
ALTER COLUMN "type" DROP DEFAULT;

View File

@@ -0,0 +1,23 @@
-- CreateEnum
CREATE TYPE "DatasetFileUploadStatus" AS ENUM ('PENDING', 'DOWNLOADING', 'PROCESSING', 'SAVING', 'COMPLETE', 'ERROR');
-- CreateTable
CREATE TABLE "DatasetFileUpload" (
"id" UUID NOT NULL,
"datasetId" UUID NOT NULL,
"blobName" TEXT NOT NULL,
"fileName" TEXT NOT NULL,
"fileSize" INTEGER NOT NULL,
"progress" INTEGER NOT NULL DEFAULT 0,
"status" "DatasetFileUploadStatus" NOT NULL DEFAULT 'PENDING',
"uploadedAt" TIMESTAMP(3) NOT NULL,
"visible" BOOLEAN NOT NULL DEFAULT true,
"errorMessage" TEXT,
"createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
"updatedAt" TIMESTAMP(3) NOT NULL,
CONSTRAINT "DatasetFileUpload_pkey" PRIMARY KEY ("id")
);
-- AddForeignKey
ALTER TABLE "DatasetFileUpload" ADD CONSTRAINT "DatasetFileUpload_datasetId_fkey" FOREIGN KEY ("datasetId") REFERENCES "Dataset"("id") ON DELETE CASCADE ON UPDATE CASCADE;

View File

@@ -176,11 +176,42 @@ model OutputEvaluation {
@@unique([modelResponseId, evaluationId])
}
enum DatasetFileUploadStatus {
PENDING
DOWNLOADING
PROCESSING
SAVING
COMPLETE
ERROR
}
model DatasetFileUpload {
id String @id @default(uuid()) @db.Uuid
datasetId String @db.Uuid
dataset Dataset @relation(fields: [datasetId], references: [id], onDelete: Cascade)
blobName String
fileName String
fileSize Int
progress Int @default(0) // Percentage
status DatasetFileUploadStatus @default(PENDING)
uploadedAt DateTime
visible Boolean @default(true)
errorMessage String?
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
}
model Dataset {
id String @id @default(uuid()) @db.Uuid
name String
datasetEntries DatasetEntry[]
name String
datasetEntries DatasetEntry[]
fineTunes FineTune[]
datasetFileUploads DatasetFileUpload[]
trainingRatio Float @default(0.8)
projectId String @db.Uuid
project Project @relation(fields: [projectId], references: [id], onDelete: Cascade)
@@ -189,17 +220,32 @@ model Dataset {
updatedAt DateTime @updatedAt
}
enum DatasetEntryType {
TRAIN
TEST
}
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)
input Json @default("[]")
output Json?
inputTokens Int
outputTokens Int
type DatasetEntryType
datasetId String @db.Uuid
dataset Dataset? @relation(fields: [datasetId], references: [id], onDelete: Cascade)
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
@@index([datasetId, createdAt, id])
@@index([datasetId, type])
}
model Project {
@@ -216,6 +262,7 @@ model Project {
experiments Experiment[]
datasets Dataset[]
loggedCalls LoggedCall[]
fineTunes FineTune[]
apiKeys ApiKey[]
}
@@ -276,8 +323,9 @@ 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 +360,7 @@ 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 +475,33 @@ 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

@@ -1,5 +1,4 @@
import { prisma } from "~/server/db";
import { generateNewCell } from "~/server/utils/generateNewCell";
import dedent from "dedent";
import { execSync } from "child_process";
import fs from "fs";

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: "add_scenario" }],
},
{
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: "define_func" },
{ 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 +1,55 @@
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,
iconBoxSize = 3.5,
label,
requireBeta = false,
onClick,
...buttonProps
}: {
icon: IconType;
iconBoxSize?: number;
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"
onClick={isBetaBlocked ? () => setBetaModalOpen(true) : onClick}
{...buttonProps}
>
<HStack spacing={1}>
{icon && (
<Icon as={icon} boxSize={iconBoxSize} color={requireBeta ? "orange.400" : undefined} />
)}
<Text display={{ base: "none", md: "flex" }}>{label}</Text>
</HStack>
</Button>
<BetaModal isOpen={betaModalOpen} onClose={() => setBetaModalOpen(false)} />
</>
);
};
export default ActionButton;

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 +0,0 @@
import {
Button,
Icon,
AlertDialog,
AlertDialogBody,
AlertDialogFooter,
AlertDialogHeader,
AlertDialogContent,
AlertDialogOverlay,
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";
export const DeleteButton = () => {
const experiment = useExperiment();
const mutation = api.experiments.delete.useMutation();
const utils = api.useContext();
const router = useRouter();
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();
await router.push({ pathname: "/experiments" });
closeDrawer();
onClose();
}, [mutation, experiment.data?.id, router]);
return (
<>
<Button size="sm" variant="ghost" colorScheme="red" fontWeight="normal" onClick={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>
</>
);
};

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

@@ -11,26 +11,43 @@ import {
Button,
Text,
useDisclosure,
type InputGroupProps,
} from "@chakra-ui/react";
import { FiChevronDown } from "react-icons/fi";
import { BiCheck } from "react-icons/bi";
import { isEqual } from "lodash-es";
import React from "react";
type InputDropdownProps<T> = {
options: ReadonlyArray<T>;
selectedOption: T;
onSelect: (option: T) => void;
inputGroupProps?: InputGroupProps;
getDisplayLabel?: (option: T) => string;
isDisabled?: boolean;
};
const InputDropdown = <T,>({ options, selectedOption, onSelect }: InputDropdownProps<T>) => {
const popover = useDisclosure();
const InputDropdown = <T,>({
options,
selectedOption,
onSelect,
inputGroupProps,
getDisplayLabel = (option) => option as string,
isDisabled,
}: InputDropdownProps<T>) => {
const { onOpen, ...popover } = useDisclosure();
return (
<Popover placement="bottom-start" {...popover}>
<Popover placement="bottom-start" onOpen={isDisabled ? undefined : onOpen} {...popover}>
<PopoverTrigger>
<InputGroup cursor="pointer" w={(selectedOption as string).length * 14 + 180}>
<InputGroup
cursor="pointer"
w={getDisplayLabel(selectedOption).length * 14 + 180}
{...inputGroupProps}
>
<Input
value={selectedOption as string}
value={getDisplayLabel(selectedOption)}
// eslint-disable-next-line @typescript-eslint/no-empty-function -- controlled input requires onChange
onChange={() => {}}
cursor="pointer"
@@ -41,9 +58,10 @@ const InputDropdown = <T,>({ options, selectedOption, onSelect }: InputDropdownP
onFocus={(e) => {
e.target.blur();
}}
isDisabled={isDisabled}
/>
<InputRightElement>
<Icon as={FiChevronDown} />
<Icon as={FiChevronDown} color={isDisabled ? "gray.300" : undefined} />
</InputRightElement>
</InputGroup>
</PopoverTrigger>
@@ -67,8 +85,10 @@ const InputDropdown = <T,>({ options, selectedOption, onSelect }: InputDropdownP
fontSize="sm"
borderBottomWidth={1}
>
<Text mr={16}>{option as string}</Text>
{option === selectedOption && <Icon as={BiCheck} color="blue.500" boxSize={5} />}
<Text mr={16}>{getDisplayLabel(option)}</Text>
{isEqual(option, selectedOption) && (
<Icon as={BiCheck} color="blue.500" boxSize={5} />
)}
</HStack>
))}
</VStack>

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

@@ -19,15 +19,13 @@ import {
useScenarios,
} from "~/utils/hooks";
import { BsGear, BsPencil, BsPlus, BsStars } from "react-icons/bs";
import { useAppStore } from "~/state/store";
import { api } from "~/utils/api";
export const ActionButton = (props: ButtonProps) => (
<Button size="sm" variant="ghost" color="gray.600" {...props} />
);
export const ScenariosHeader = () => {
const openDrawer = useAppStore((s) => s.openDrawer);
export const ScenariosHeader = ({ openDrawer }: { openDrawer: () => void }) => {
const { canModify } = useExperimentAccess();
const scenarios = useScenarios();

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

@@ -20,7 +20,7 @@ export default function VariantStats(props: { variant: PromptVariant }) {
inputTokens: 0,
outputTokens: 0,
scenarioCount: 0,
outputCount: 0,
finishedCount: 0,
awaitingCompletions: false,
awaitingEvals: false,
},
@@ -42,7 +42,7 @@ export default function VariantStats(props: { variant: PromptVariant }) {
const scale = chroma.scale([failColor, neutralColor, passColor]).domain([0, 0.5, 1]);
const showNumFinished = data.scenarioCount > 0 && data.scenarioCount !== data.outputCount;
const showNumFinished = data.scenarioCount > 0 && data.scenarioCount !== data.finishedCount;
return (
<HStack
@@ -55,7 +55,7 @@ export default function VariantStats(props: { variant: PromptVariant }) {
<HStack px={cellPadding.x} flexWrap="wrap">
{showNumFinished && (
<Text>
{data.outputCount} / {data.scenarioCount}
{data.finishedCount} / {data.scenarioCount}
</Text>
)}
{data.evalResults.map((result) => {

View File

@@ -12,7 +12,13 @@ import ScenarioPaginator from "./ScenarioPaginator";
import { Fragment } from "react";
import useScrolledPast from "./useHasScrolledPast";
export default function OutputsTable({ experimentId }: { experimentId: string | undefined }) {
export default function OutputsTable({
experimentId,
openDrawer,
}: {
experimentId: string | undefined;
openDrawer: () => void;
}) {
const variants = api.promptVariants.list.useQuery(
{ experimentId: experimentId as string },
{ enabled: !!experimentId },
@@ -77,6 +83,7 @@ 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>
@@ -90,7 +97,7 @@ export default function OutputsTable({ experimentId }: { experimentId: string |
colStart={1}
borderRightWidth={0}
>
<ScenariosHeader />
<ScenariosHeader openDrawer={openDrawer} />
</GridItem>
{scenarios.data.scenarios.map((scenario, i) => (

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

@@ -0,0 +1,37 @@
import {
Drawer,
DrawerBody,
DrawerCloseButton,
DrawerContent,
DrawerHeader,
DrawerOverlay,
Heading,
VStack,
type UseDisclosureReturn,
} from "@chakra-ui/react";
import { DeleteButton } from "./DeleteButton";
export default function DatasetConfigurationDrawer({
disclosure,
}: {
disclosure: UseDisclosureReturn;
}) {
return (
<Drawer placement="right" size="md" {...disclosure}>
<DrawerOverlay />
<DrawerContent>
<DrawerCloseButton />
<DrawerHeader>
<Heading size="md">Dataset Configuration</Heading>
</DrawerHeader>
<DrawerBody h="full" pb={4}>
<VStack h="full" justifyContent="space-between">
<VStack spacing={6}></VStack>
<DeleteButton closeDrawer={disclosure.onClose} />
</VStack>
</DrawerBody>
</DrawerContent>
</Drawer>
);
}

View File

@@ -0,0 +1,39 @@
import { Button, Icon, useDisclosure, Text } from "@chakra-ui/react";
import { useRouter } from "next/router";
import { BsTrash } from "react-icons/bs";
import { useHandledAsyncCallback, useDataset } from "~/utils/hooks";
import DeleteDatasetDialog from "./DeleteDatasetDialog";
export const DeleteButton = ({ closeDrawer }: { closeDrawer: () => void }) => {
const dataset = useDataset();
const router = useRouter();
const disclosure = useDisclosure();
const [onDelete] = useHandledAsyncCallback(async () => {
await router.push({ pathname: "/datasets" });
closeDrawer();
}, [router, closeDrawer]);
return (
<>
<Button
size="sm"
variant="ghost"
colorScheme="red"
fontWeight="normal"
onClick={disclosure.onOpen}
>
<Icon as={BsTrash} boxSize={4} />
<Text ml={2}>Delete Dataset</Text>
</Button>
<DeleteDatasetDialog
datasetId={dataset.data?.id}
onDelete={onDelete}
disclosure={disclosure}
/>
</>
);
};

View File

@@ -0,0 +1,73 @@
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 DeleteDatasetDialog = ({
datasetId,
onDelete,
disclosure,
}: {
datasetId?: string;
onDelete?: () => void;
disclosure: UseDisclosureReturn;
}) => {
const cancelRef = useRef<HTMLButtonElement>(null);
const mutation = api.datasets.delete.useMutation();
const utils = api.useContext();
const [onDeleteConfirm, deletionInProgress] = useHandledAsyncCallback(async () => {
if (!datasetId) return;
await mutation.mutateAsync({ id: datasetId });
await utils.datasets.list.invalidate();
onDelete?.();
disclosure.onClose();
}, [mutation, datasetId, disclosure.onClose]);
console.log("dataset id", datasetId);
return (
<AlertDialog leastDestructiveRef={cancelRef} {...disclosure}>
<AlertDialogOverlay>
<AlertDialogContent>
<AlertDialogHeader fontSize="lg" fontWeight="bold">
Delete Dataset
</AlertDialogHeader>
<AlertDialogBody>
If you delete this dataset all the associated dataset entries will be deleted as well.
Are you sure?
</AlertDialogBody>
<AlertDialogFooter>
<Button ref={cancelRef} onClick={disclosure.onClose}>
Cancel
</Button>
<Button
colorScheme="red"
isLoading={deletionInProgress}
onClick={onDeleteConfirm}
ml={3}
>
Delete
</Button>
</AlertDialogFooter>
</AlertDialogContent>
</AlertDialogOverlay>
</AlertDialog>
);
};
export default DeleteDatasetDialog;

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

@@ -0,0 +1,46 @@
import { Card, Table, Tbody } from "@chakra-ui/react";
import { useState } from "react";
import { useDatasetEntries } from "~/utils/hooks";
import { TableHeader, TableRow, EmptyTableRow } from "./TableRow";
import DatasetEntryEditorDrawer from "./DatasetEntryEditorDrawer";
export default function DatasetEntriesTable() {
const [expandedDatasetEntryId, setExpandedDatasetEntryId] = useState<string | null>(null);
const datasetEntries = useDatasetEntries().data?.entries;
return (
<>
<Card width="100%" overflowX="auto">
<Table>
<TableHeader />
<Tbody>
{datasetEntries?.length ? (
datasetEntries?.map((entry) => {
return (
<TableRow
key={entry.id}
datasetEntry={entry}
onToggle={() => {
if (entry.id === expandedDatasetEntryId) {
setExpandedDatasetEntryId(null);
} else {
setExpandedDatasetEntryId(entry.id);
}
}}
showOptions
/>
);
})
) : (
<EmptyTableRow />
)}
</Tbody>
</Table>
</Card>
<DatasetEntryEditorDrawer
datasetEntryId={expandedDatasetEntryId}
clearDatasetEntryId={() => setExpandedDatasetEntryId(null)}
/>
</>
);
}

View File

@@ -0,0 +1,174 @@
import { useState, useEffect, useMemo } from "react";
import {
Drawer,
DrawerBody,
DrawerCloseButton,
DrawerContent,
DrawerHeader,
DrawerOverlay,
DrawerFooter,
Heading,
VStack,
HStack,
Button,
Text,
Divider,
Icon,
} from "@chakra-ui/react";
import { type CreateChatCompletionRequestMessage } from "openai/resources/chat";
import { BsPlus } from "react-icons/bs";
import { type DatasetEntryType } from "@prisma/client";
import { api } from "~/utils/api";
import { useDatasetEntry, useHandledAsyncCallback } from "~/utils/hooks";
import EditableMessage from "./EditableMessage";
import EntryTypeDropdown from "./EntryTypeDropdown";
export default function DatasetDentryEditorDrawer({
datasetEntryId,
clearDatasetEntryId,
}: {
datasetEntryId: string | null;
clearDatasetEntryId: () => void;
}) {
const utils = api.useContext();
const datasetEntry = useDatasetEntry(datasetEntryId).data;
const savedInputMessages = useMemo(
() => datasetEntry?.input as unknown as CreateChatCompletionRequestMessage[],
[datasetEntry],
);
const savedOutputMessage = useMemo(
() => datasetEntry?.output as unknown as CreateChatCompletionRequestMessage,
[datasetEntry],
);
const [inputMessagesToSave, setInputMessagesToSave] = useState<
CreateChatCompletionRequestMessage[]
>([]);
const [outputMessageToSave, setOutputMessageToSave] =
useState<CreateChatCompletionRequestMessage | null>(null);
useEffect(() => {
if (savedInputMessages) {
setInputMessagesToSave(savedInputMessages);
setOutputMessageToSave(savedOutputMessage);
}
}, [savedInputMessages, savedOutputMessage]);
const updateMutation = api.datasetEntries.update.useMutation();
const [onSave, savingInProgress] = useHandledAsyncCallback(async () => {
if (!datasetEntryId || !inputMessagesToSave) return;
await updateMutation.mutateAsync({
id: datasetEntryId,
updates: {
input: JSON.stringify(inputMessagesToSave),
output: JSON.stringify(outputMessageToSave),
},
});
await utils.datasetEntries.list.invalidate();
await utils.datasetEntries.get.invalidate({ id: datasetEntryId });
}, [updateMutation, datasetEntryId, inputMessagesToSave, outputMessageToSave, utils]);
const [onUpdateType] = useHandledAsyncCallback(
async (type: DatasetEntryType) => {
if (!datasetEntryId) return;
await updateMutation.mutateAsync({
id: datasetEntryId,
updates: {
type,
},
});
await utils.datasetEntries.list.invalidate();
await utils.datasetEntries.get.invalidate({ id: datasetEntryId });
},
[updateMutation, datasetEntryId, utils],
);
return (
<Drawer isOpen={!!datasetEntryId} onClose={clearDatasetEntryId} placement="right" size="md">
<DrawerOverlay />
<DrawerContent>
<DrawerCloseButton pt={6} />
<DrawerHeader bgColor="orange.50">
<HStack w="full" justifyContent="space-between" pr={8}>
<Heading size="md">Dataset Entry</Heading>
{datasetEntry && (
<EntryTypeDropdown type={datasetEntry.type} onTypeChange={onUpdateType} />
)}
</HStack>
</DrawerHeader>
<DrawerBody h="full" pb={4} bgColor="orange.50">
<VStack h="full" justifyContent="space-between">
<VStack w="full" spacing={12} py={4}>
<VStack w="full" alignItems="flex-start">
<Text fontWeight="bold">Input</Text>
{inputMessagesToSave.map((message, i) => {
return (
<>
<Divider key={`divider-${i}`} my={4} />
<EditableMessage
key={i}
message={message}
onEdit={(message) => {
const newInputMessages = [...inputMessagesToSave];
newInputMessages[i] = message;
setInputMessagesToSave(newInputMessages);
}}
onDelete={() => {
const newInputMessages = [...inputMessagesToSave];
newInputMessages.splice(i, 1);
setInputMessagesToSave(newInputMessages);
}}
/>
</>
);
})}
<Divider my={4} />
<Button
w="full"
onClick={() =>
setInputMessagesToSave([...inputMessagesToSave, { role: "user", content: "" }])
}
variant="outline"
color="gray.500"
_hover={{ bgColor: "orange.100" }}
>
<HStack spacing={0}>
<Text>Add Message</Text>
<Icon as={BsPlus} boxSize={6} />
</HStack>
</Button>
</VStack>
<VStack w="full" alignItems="flex-start">
<Text fontWeight="bold">Output</Text>
<Divider my={4} />
<EditableMessage
message={outputMessageToSave}
onEdit={(message) => setOutputMessageToSave(message)}
isOutput
/>
</VStack>
</VStack>
</VStack>
</DrawerBody>
<DrawerFooter bgColor="orange.50">
<HStack>
<Button
onClick={() => {
setInputMessagesToSave(savedInputMessages);
setOutputMessageToSave(savedOutputMessage);
}}
>
Reset
</Button>
<Button isLoading={savingInProgress} onClick={onSave} colorScheme="orange">
Save
</Button>
</HStack>
</DrawerFooter>
</DrawerContent>
</Drawer>
);
}

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import { VStack, HStack, Tooltip, IconButton, Icon } from "@chakra-ui/react";
import { type CreateChatCompletionRequestMessage } from "openai/resources/chat";
import { BsX } from "react-icons/bs";
import AutoResizeTextArea from "~/components/AutoResizeTextArea";
import InputDropdown from "~/components/InputDropdown";
import { parseableToFunctionCall } from "~/utils/utils";
import FunctionCallEditor from "./FunctionCallEditor";
const MESSAGE_ROLE_OPTIONS = ["system", "user", "assistant", "function"] as const;
const OUTPUT_OPTIONS = ["plaintext", "func_call"] as const;
const EditableMessage = ({
message,
onEdit,
onDelete,
isOutput,
}: {
message: CreateChatCompletionRequestMessage | null;
onEdit: (message: CreateChatCompletionRequestMessage) => void;
onDelete?: () => void;
isOutput?: boolean;
}) => {
const { role = "assistant", content = "", function_call } = message || {};
const currentOutputOption: (typeof OUTPUT_OPTIONS)[number] = function_call
? "func_call"
: "plaintext";
return (
<VStack w="full">
<HStack w="full" justifyContent="space-between">
<HStack>
{!isOutput && (
<InputDropdown
options={MESSAGE_ROLE_OPTIONS}
selectedOption={role}
onSelect={(option) => {
const updatedMessage = { role: option, content };
if (role === "assistant" && currentOutputOption === "func_call") {
updatedMessage.content = JSON.stringify(function_call, null, 2);
}
onEdit(updatedMessage);
}}
inputGroupProps={{ w: "32", bgColor: "white" }}
/>
)}
{role === "assistant" && (
<InputDropdown
options={OUTPUT_OPTIONS}
selectedOption={currentOutputOption}
onSelect={(option) => {
const updatedMessage: CreateChatCompletionRequestMessage = {
role,
content: null,
function_call: undefined,
};
if (option === "plaintext") {
updatedMessage.content = JSON.stringify(function_call, null, 2);
} else if (option === "func_call") {
updatedMessage.function_call =
content && parseableToFunctionCall(content)
? JSON.parse(content)
: { name: "", arguments: "{}" };
}
onEdit(updatedMessage);
}}
inputGroupProps={{ w: "32", bgColor: "white" }}
/>
)}
</HStack>
{!isOutput && (
<HStack>
<Tooltip label="Delete" hasArrow>
<IconButton
aria-label="Delete"
icon={<Icon as={BsX} boxSize={6} />}
onClick={onDelete}
size="xs"
display="flex"
colorScheme="gray"
color="gray.500"
variant="ghost"
/>
</Tooltip>
</HStack>
)}
</HStack>
{function_call ? (
<FunctionCallEditor
function_call={function_call}
onEdit={(function_call) => onEdit({ role, function_call, content: null })}
/>
) : (
<AutoResizeTextArea
value={content || JSON.stringify(function_call, null, 2)}
onChange={(e) => onEdit({ role, content: e.target.value })}
bgColor="white"
/>
)}
</VStack>
);
};
export default EditableMessage;

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import { type DatasetEntryType } from "@prisma/client";
import InputDropdown from "~/components/InputDropdown";
const ENTRY_TYPE_OPTIONS: DatasetEntryType[] = ["TRAIN", "TEST"];
const EntryTypeDropdown = ({
type,
onTypeChange,
}: {
type: DatasetEntryType;
onTypeChange: (type: DatasetEntryType) => void;
}) => {
return (
<InputDropdown
options={ENTRY_TYPE_OPTIONS}
selectedOption={type}
onSelect={onTypeChange}
inputGroupProps={{ w: "32", bgColor: "white" }}
/>
);
};
export default EntryTypeDropdown;

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import { useRef, useMemo, useEffect } from "react";
import { VStack, HStack, Text, Input, Box } from "@chakra-ui/react";
import { type CreateChatCompletionRequestMessage } from "openai/resources/chat";
import { useAppStore } from "~/state/store";
import { type CreatedEditor } from "~/state/sharedVariantEditor.slice";
const FunctionCallEditor = ({
function_call,
onEdit,
}: {
function_call: CreateChatCompletionRequestMessage.FunctionCall;
onEdit: (function_call: CreateChatCompletionRequestMessage.FunctionCall) => void;
}) => {
const monaco = useAppStore.use.sharedArgumentsEditor.monaco();
const editorRef = useRef<CreatedEditor | null>(null);
const editorId = useMemo(() => `editor_${Math.random().toString(36).substring(7)}`, []);
useEffect(() => {
if (monaco) {
const container = document.getElementById(editorId) as HTMLElement;
const editor = monaco.editor.create(container, {
value: function_call.arguments,
language: "json",
theme: "customTheme",
lineNumbers: "off",
minimap: { enabled: false },
wrappingIndent: "indent",
wrappingStrategy: "advanced",
wordWrap: "on",
folding: false,
scrollbar: {
alwaysConsumeMouseWheel: false,
verticalScrollbarSize: 0,
},
wordWrapBreakAfterCharacters: "",
wordWrapBreakBeforeCharacters: "",
quickSuggestions: true,
renderLineHighlight: "none",
fontSize: 14,
scrollBeyondLastLine: false,
});
editorRef.current = editor;
const updateHeight = () => {
const contentHeight = editor.getContentHeight();
container.style.height = `${contentHeight}px`;
editor.layout();
};
const attemptDocumentFormat = () => {
const action = editor.getAction("editor.action.formatDocument");
if (action) {
action
.run()
.then(updateHeight)
.catch((error) => {
console.error("Error running formatDocument:", error);
});
return true;
}
return false;
};
editor.onDidBlurEditorText(() => {
attemptDocumentFormat();
onEdit({ name: function_call.name, arguments: editor.getValue() });
});
// Interval function to check for action availability
const checkForActionInterval = setInterval(() => {
const formatted = attemptDocumentFormat();
if (formatted) {
clearInterval(checkForActionInterval); // Clear the interval once the action is found and run
}
}, 100); // Check every 100ms
// Add content change listener
const contentChangeListener = editor.onDidChangeModelContent(updateHeight);
const resizeObserver = new ResizeObserver(() => {
editor.layout();
});
resizeObserver.observe(container);
return () => {
contentChangeListener.dispose();
resizeObserver.disconnect();
editor?.dispose();
};
}
}, [monaco, editorId, function_call.name, function_call.arguments, onEdit]);
return (
<VStack w="full" alignItems="flex-start">
<HStack w="full">
<Text fontWeight="bold" w={192}>
Name:
</Text>
<Input
value={function_call.name}
onChange={(e) => onEdit({ name: e.target.value, arguments: function_call.arguments })}
bgColor="white"
/>
</HStack>
<Text fontWeight="bold" w={32}>
Arguments
</Text>
<VStack
borderRadius={4}
border="1px solid"
borderColor="gray.200"
w="full"
py={1}
bgColor="white"
>
<Box id={editorId} w="full" />
</VStack>
</VStack>
);
};
export default FunctionCallEditor;

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import { Box, Td, Tr, Thead, Th, Tooltip, HStack, Text, Checkbox } from "@chakra-ui/react";
import Link from "next/link";
import dayjs from "~/utils/dayjs";
import { type RouterOutputs } from "~/utils/api";
import { useAppStore } from "~/state/store";
import { useIsClientRehydrated, useDatasetEntries } from "~/utils/hooks";
import { useMemo } from "react";
type DatasetEntry = RouterOutputs["datasetEntries"]["list"]["entries"][0];
export const TableHeader = () => {
const matchingDatasetEntryIds = useDatasetEntries().data?.matchingEntryIds;
const selectedDatasetEntryIds = useAppStore((s) => s.selectedDatasetEntries.selectedIds);
const addSelectedIds = useAppStore((s) => s.selectedDatasetEntries.addSelectedIds);
const clearSelectedIds = useAppStore((s) => s.selectedDatasetEntries.clearSelectedIds);
const allSelected = useMemo(() => {
if (!matchingDatasetEntryIds || !matchingDatasetEntryIds.length) return false;
return matchingDatasetEntryIds.every((id) => selectedDatasetEntryIds.has(id));
}, [matchingDatasetEntryIds, selectedDatasetEntryIds]);
const isClientRehydrated = useIsClientRehydrated();
if (!isClientRehydrated) return null;
return (
<Thead>
<Tr>
<Th pr={0}>
<HStack minW={16}>
<Checkbox
isChecked={allSelected}
onChange={() => {
allSelected ? clearSelectedIds() : addSelectedIds(matchingDatasetEntryIds || []);
}}
/>
<Text>
({selectedDatasetEntryIds.size ? `${selectedDatasetEntryIds.size}/` : ""}
{matchingDatasetEntryIds?.length || 0})
</Text>
</HStack>
</Th>
<Th>Created At</Th>
<Th isNumeric>Input tokens</Th>
<Th isNumeric>Output tokens</Th>
<Th isNumeric>Type</Th>
</Tr>
</Thead>
);
};
export const TableRow = ({
datasetEntry,
onToggle,
showOptions,
}: {
datasetEntry: DatasetEntry;
onToggle: () => void;
showOptions?: boolean;
}) => {
const createdAt = dayjs(datasetEntry.createdAt).format("MMMM D h:mm A");
const fullTime = dayjs(datasetEntry.createdAt).toString();
const isChecked = useAppStore((s) => s.selectedDatasetEntries.selectedIds.has(datasetEntry.id));
const toggleChecked = useAppStore((s) => s.selectedDatasetEntries.toggleSelectedId);
const isClientRehydrated = useIsClientRehydrated();
if (!isClientRehydrated) return null;
return (
<Tr
onClick={onToggle}
key={datasetEntry.id}
_hover={{ bgColor: "gray.50", cursor: "pointer" }}
fontSize="sm"
>
{showOptions && (
<Td>
<Checkbox isChecked={isChecked} onChange={() => toggleChecked(datasetEntry.id)} />
</Td>
)}
<Td>
<Tooltip label={fullTime} placement="top">
<Box whiteSpace="nowrap" minW="120px">
{createdAt}
</Box>
</Tooltip>
</Td>
<Td isNumeric>{datasetEntry.inputTokens}</Td>
<Td isNumeric>{datasetEntry.outputTokens}</Td>
<Td isNumeric>{datasetEntry.type}</Td>
</Tr>
);
};
export const EmptyTableRow = ({ filtersApplied = true }: { filtersApplied?: boolean }) => {
const visibleColumns = useAppStore((s) => s.columnVisibility.visibleColumns);
const filters = useAppStore((state) => state.logFilters.filters);
const { isLoading } = useDatasetEntries();
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 entries 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 dataset has no entries. Add some logs in the{" "}
<Link href="/request-logs">
<Text as="span" color="blue.600">
Request Logs
</Text>
</Link>{" "}
tab.
</Text>
</Td>
</Tr>
);
};

View File

@@ -3,14 +3,14 @@ import { type StackProps } from "@chakra-ui/react";
import { useDatasetEntries } from "~/utils/hooks";
import Paginator from "../Paginator";
const DatasetEntriesPaginator = (props: StackProps) => {
const DatasetEntryPaginator = (props: StackProps) => {
const { data } = useDatasetEntries();
if (!data) return null;
const { count } = data;
const { matchingEntryIds } = data;
return <Paginator count={count} {...props} />;
return <Paginator count={matchingEntryIds.length} {...props} />;
};
export default DatasetEntriesPaginator;
export default DatasetEntryPaginator;

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import { Button, HStack, Icon, Text } from "@chakra-ui/react";
import { useDataset } from "~/utils/hooks";
import { BsGearFill } from "react-icons/bs";
export const DatasetHeaderButtons = ({ openDrawer }: { openDrawer: () => void }) => {
const dataset = useDataset();
if (dataset.isLoading) return null;
return (
<HStack spacing={0} mt={{ base: 2, md: 0 }}>
<Button variant={{ base: "solid", md: "ghost" }} onClick={openDrawer}>
<HStack>
<Icon as={BsGearFill} />
<Text>Configure</Text>
</HStack>
</Button>
</HStack>
);
};

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

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@@ -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>
);
};

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import { Card, Table, Thead, Tr, Th, Tbody, Td, VStack, Icon, Text } from "@chakra-ui/react";
import { FaTable } from "react-icons/fa";
import Link from "next/link";
import dayjs from "~/utils/dayjs";
import { useDatasets } from "~/utils/hooks";
const DatasetsTable = ({}) => {
const { data } = useDatasets();
const datasets = data || [];
return (
<Card width="100%" overflowX="auto">
{datasets.length ? (
<Table>
<Thead>
<Tr>
<Th>Name</Th>
<Th>Created At</Th>
<Th>Size</Th>
</Tr>
</Thead>
<Tbody>
{datasets.map((dataset) => {
return (
<Tr key={dataset.id}>
<Td>
<Link href={{ pathname: "/datasets/[id]", query: { id: dataset.id } }}>
<Text color="blue.600">{dataset.name}</Text>
</Link>
</Td>
<Td>{dayjs(dataset.createdAt).format("MMMM D h:mm A")}</Td>
<Td>{dataset._count.datasetEntries}</Td>
</Tr>
);
})}
</Tbody>
</Table>
) : (
<VStack py={8}>
<Icon as={FaTable} boxSize={16} color="gray.300" />
<Text color="gray.400" fontSize="lg" fontWeight="bold">
No Datasets Found. Create your first dataset.
</Text>
</VStack>
)}
</Card>
);
};
export default DatasetsTable;

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import {
Modal,
ModalOverlay,
ModalContent,
ModalHeader,
ModalCloseButton,
ModalBody,
ModalFooter,
HStack,
VStack,
Icon,
Text,
Button,
useDisclosure,
type UseDisclosureReturn,
} from "@chakra-ui/react";
import { BsTrash } from "react-icons/bs";
import { useHandledAsyncCallback, useDataset } from "~/utils/hooks";
import { api } from "~/utils/api";
import { useAppStore } from "~/state/store";
import ActionButton from "../ActionButton";
import { maybeReportError } from "~/utils/errorHandling/maybeReportError";
import pluralize from "pluralize";
const DeleteButton = () => {
const selectedIds = useAppStore((s) => s.selectedDatasetEntries.selectedIds);
const disclosure = useDisclosure();
return (
<>
<ActionButton
onClick={disclosure.onOpen}
label="Delete"
icon={BsTrash}
isDisabled={selectedIds.size === 0}
requireBeta
/>
<DeleteDatasetEntriesModal disclosure={disclosure} />
</>
);
};
export default DeleteButton;
const DeleteDatasetEntriesModal = ({ disclosure }: { disclosure: UseDisclosureReturn }) => {
const dataset = useDataset().data;
const selectedIds = useAppStore((s) => s.selectedDatasetEntries.selectedIds);
const clearSelectedIds = useAppStore((s) => s.selectedDatasetEntries.clearSelectedIds);
const deleteRowsMutation = api.datasetEntries.delete.useMutation();
const utils = api.useContext();
const [deleteRows, deletionInProgress] = useHandledAsyncCallback(async () => {
if (!dataset?.id || !selectedIds.size) return;
// divide selectedIds into chunks of 15000 to reduce request size
const chunkSize = 15000;
const idsArray = Array.from(selectedIds);
for (let i = 0; i < idsArray.length; i += chunkSize) {
const response = await deleteRowsMutation.mutateAsync({
ids: idsArray.slice(i, i + chunkSize),
});
if (maybeReportError(response)) return;
}
await utils.datasetEntries.list.invalidate();
disclosure.onClose();
clearSelectedIds();
}, [deleteRowsMutation, dataset, selectedIds, utils]);
return (
<Modal size={{ base: "xl", md: "2xl" }} {...disclosure}>
<ModalOverlay />
<ModalContent w={1200}>
<ModalHeader>
<HStack>
<Icon as={BsTrash} />
<Text>Delete Logs</Text>
</HStack>
</ModalHeader>
<ModalCloseButton />
<ModalBody maxW="unset">
<VStack w="full" spacing={8} pt={4} alignItems="flex-start">
<Text>
Are you sure you want to delete the <b>{selectedIds.size}</b>{" "}
{pluralize("row", selectedIds.size)} rows you've selected?
</Text>
</VStack>
</ModalBody>
<ModalFooter>
<HStack>
<Button colorScheme="gray" onClick={disclosure.onClose} minW={24}>
Cancel
</Button>
<Button colorScheme="red" onClick={deleteRows} isLoading={deletionInProgress} minW={24}>
Delete
</Button>
</HStack>
</ModalFooter>
</ModalContent>
</Modal>
);
};

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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 { AiOutlineDownload } from "react-icons/ai";
import { useHandledAsyncCallback, useDataset } from "~/utils/hooks";
import { api } from "~/utils/api";
import { useAppStore } from "~/state/store";
import ActionButton from "../ActionButton";
import { FiChevronUp, FiChevronDown } from "react-icons/fi";
import InfoCircle from "../InfoCircle";
const ExportButton = () => {
const selectedIds = useAppStore((s) => s.selectedDatasetEntries.selectedIds);
const disclosure = useDisclosure();
return (
<>
<ActionButton
onClick={disclosure.onOpen}
label="Download"
icon={AiOutlineDownload}
isDisabled={selectedIds.size === 0}
requireBeta
/>
<ExportDatasetEntriesModal disclosure={disclosure} />
</>
);
};
export default ExportButton;
const ExportDatasetEntriesModal = ({ disclosure }: { disclosure: UseDisclosureReturn }) => {
const dataset = useDataset().data;
const selectedIds = useAppStore((s) => s.selectedDatasetEntries.selectedIds);
const clearSelectedIds = useAppStore((s) => s.selectedDatasetEntries.clearSelectedIds);
const [testingSplit, setTestingSplit] = useState(10);
const [removeDuplicates, setRemoveDuplicates] = useState(false);
const [showAdvancedOptions, setShowAdvancedOptions] = useState(false);
useEffect(() => {
if (disclosure.isOpen) {
setTestingSplit(10);
setRemoveDuplicates(false);
}
}, [disclosure.isOpen]);
const exportDataMutation = api.datasetEntries.export.useMutation();
const [exportData, exportInProgress] = useHandledAsyncCallback(async () => {
if (!dataset?.id || !selectedIds.size || !testingSplit) return;
const response = await exportDataMutation.mutateAsync({
datasetId: dataset.id,
datasetEntryIds: Array.from(selectedIds),
testingSplit,
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();
clearSelectedIds();
}, [exportDataMutation, dataset, selectedIds, testingSplit, removeDuplicates]);
return (
<Modal size={{ base: "xl", md: "2xl" }} {...disclosure}>
<ModalOverlay />
<ModalContent w={1200}>
<ModalHeader>
<HStack>
<Icon as={AiOutlineDownload} />
<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>{selectedIds.size}</b> rows you have selected in the OpenAI
training format.
</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">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={exportData} isLoading={exportInProgress} minW={24}>
Download
</Button>
</HStack>
</ModalFooter>
</ModalContent>
</Modal>
);
};

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import { RiFlaskLine } from "react-icons/ri";
import { useAppStore } from "~/state/store";
import ActionButton from "../ActionButton";
const ExperimentButton = () => {
const selectedIds = useAppStore((s) => s.selectedDatasetEntries.selectedIds);
return (
<ActionButton
onClick={() => {
console.log("experimenting with these ids", selectedIds);
}}
label="Experiment"
icon={RiFlaskLine}
isDisabled={selectedIds.size === 0}
requireBeta
/>
);
};
export default ExperimentButton;

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import { useState, useEffect } from "react";
import { VStack, HStack, Button, Text, Progress, IconButton, Portal } from "@chakra-ui/react";
import { BsX } from "react-icons/bs";
import { type RouterOutputs, api } from "~/utils/api";
import { useDataset, useHandledAsyncCallback } from "~/utils/hooks";
import { formatFileSize } from "~/utils/utils";
type FileUpload = RouterOutputs["datasets"]["listFileUploads"][0];
const FileUploadsCard = () => {
const dataset = useDataset();
const [fileUploadsRefetchInterval, setFileUploadsRefetchInterval] = useState<number>(500);
const fileUploads = api.datasets.listFileUploads.useQuery(
{ datasetId: dataset.data?.id as string },
{ enabled: !!dataset.data?.id, refetchInterval: fileUploadsRefetchInterval },
);
useEffect(() => {
if (fileUploads?.data?.some((fu) => fu.status !== "COMPLETE" && fu.status !== "ERROR")) {
setFileUploadsRefetchInterval(500);
} else {
setFileUploadsRefetchInterval(15000);
}
}, [fileUploads]);
const utils = api.useContext();
const hideFileUploadsMutation = api.datasets.hideFileUploads.useMutation();
const [hideAllFileUploads] = useHandledAsyncCallback(async () => {
if (!fileUploads.data?.length) return;
await hideFileUploadsMutation.mutateAsync({
fileUploadIds: fileUploads.data.map((upload) => upload.id),
});
await utils.datasets.listFileUploads.invalidate();
}, [hideFileUploadsMutation, fileUploads.data, utils]);
if (!fileUploads.data?.length) return null;
return (
<Portal>
<VStack
w={72}
borderRadius={8}
position="fixed"
bottom={8}
right={8}
overflow="hidden"
borderWidth={1}
boxShadow="0 0 40px 4px rgba(0, 0, 0, 0.1);"
minW={0}
bgColor="white"
>
<HStack p={4} w="full" bgColor="gray.200" justifyContent="space-between">
<Text fontWeight="bold">Uploads</Text>
<IconButton
aria-label="Close uploads"
as={BsX}
boxSize={6}
minW={0}
variant="ghost"
onClick={hideAllFileUploads}
cursor="pointer"
/>
</HStack>
{fileUploads?.data?.map((upload) => <FileUploadRow key={upload.id} fileUpload={upload} />)}
</VStack>
</Portal>
);
};
export default FileUploadsCard;
const FileUploadRow = ({ fileUpload }: { fileUpload: FileUpload }) => {
const { id, fileName, fileSize, progress, status, errorMessage } = fileUpload;
const utils = api.useContext();
const hideFileUploadsMutation = api.datasets.hideFileUploads.useMutation();
const [hideFileUpload, hidingInProgress] = useHandledAsyncCallback(async () => {
await hideFileUploadsMutation.mutateAsync({ fileUploadIds: [id] });
await utils.datasets.listFileUploads.invalidate();
}, [id, hideFileUploadsMutation, utils]);
useEffect(() => {
// Invalidate dataset entries list when upload is processed
if (status === "COMPLETE") void utils.datasetEntries.list.invalidate();
}, [status, utils]);
return (
<VStack w="full" alignItems="flex-start" p={4} borderBottomWidth={1}>
<HStack w="full" justifyContent="space-between" alignItems="flex-start">
<VStack alignItems="flex-start" spacing={0}>
<Text fontWeight="bold">{fileName}</Text>
<Text fontSize="xs">({formatFileSize(fileSize, 2)})</Text>
</VStack>
<Button
aria-label="Hide file upload"
minW={0}
variant="ghost"
isLoading={hidingInProgress}
onClick={hideFileUpload}
size="xs"
>
HIDE
</Button>
</HStack>
{errorMessage ? (
<Text alignSelf="center" pt={2}>
{errorMessage}
</Text>
) : (
<>
<Text alignSelf="center" fontSize="xs">
{getStatusText(status)}
</Text>
<Progress w="full" value={progress} borderRadius={2} />
</>
)}
</VStack>
);
};
const getStatusText = (status: FileUpload["status"]) => {
switch (status) {
case "PENDING":
return "Pending";
case "DOWNLOADING":
return "Loading Data";
case "PROCESSING":
return "Processing";
case "SAVING":
return "Saving";
case "COMPLETE":
return "Complete";
case "ERROR":
return "Error";
}
};

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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 { useDataset, useDatasetEntries, useHandledAsyncCallback } from "~/utils/hooks";
import { api } from "~/utils/api";
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 datasetEntries = useDatasetEntries().data;
const numEntries = datasetEntries?.matchingEntryIds.length || 0;
const disclosure = useDisclosure();
return (
<>
<ActionButton
onClick={disclosure.onOpen}
label="Fine Tune"
icon={AiTwotoneThunderbolt}
isDisabled={numEntries === 0}
requireBeta
/>
<FineTuneModal disclosure={disclosure} />
</>
);
};
export default FineTuneButton;
const FineTuneModal = ({ disclosure }: { disclosure: UseDisclosureReturn }) => {
const dataset = useDataset().data;
const datasetEntries = useDatasetEntries().data;
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 (!modelSlug || !selectedBaseModel || !dataset) return;
await createFineTuneMutation.mutateAsync({
slug: modelSlug,
baseModel: selectedBaseModel,
datasetId: dataset.id,
});
await utils.fineTunes.list.invalidate();
await router.push({ pathname: "/fine-tunes" });
disclosure.onClose();
}, [createFineTuneMutation, 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 <b>{datasetEntries?.trainingCount}</b> and test on{" "}
<b>{datasetEntries?.testingCount}</b> entries in this dataset.
</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>
);
};

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@@ -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;

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import { useState, useEffect, useRef, useCallback } from "react";
import {
Modal,
ModalOverlay,
ModalContent,
ModalHeader,
ModalCloseButton,
ModalBody,
ModalFooter,
HStack,
VStack,
Icon,
Text,
Button,
Box,
useDisclosure,
type UseDisclosureReturn,
} from "@chakra-ui/react";
import pluralize from "pluralize";
import { AiOutlineCloudUpload, AiOutlineFile } from "react-icons/ai";
import { useDataset, useHandledAsyncCallback } from "~/utils/hooks";
import { api } from "~/utils/api";
import ActionButton from "../ActionButton";
import { validateTrainingRows, type TrainingRow, parseJSONL } from "./validateTrainingRows";
import { uploadDatasetEntryFile } from "~/utils/azure/website";
import { formatFileSize } from "~/utils/utils";
const UploadDataButton = () => {
const disclosure = useDisclosure();
return (
<>
<ActionButton
onClick={disclosure.onOpen}
label="Upload Data"
icon={AiOutlineCloudUpload}
iconBoxSize={4}
requireBeta
/>
<UploadDataModal disclosure={disclosure} />
</>
);
};
export default UploadDataButton;
const UploadDataModal = ({ disclosure }: { disclosure: UseDisclosureReturn }) => {
const dataset = useDataset().data;
const [validationError, setValidationError] = useState<string | null>(null);
const [trainingRows, setTrainingRows] = useState<TrainingRow[] | null>(null);
const [file, setFile] = useState<File | null>(null);
const fileInputRef = useRef<HTMLInputElement>(null);
const handleFileDrop = (e: React.DragEvent<HTMLDivElement>) => {
e.preventDefault();
const files = e.dataTransfer.files;
if (files.length > 0) {
processFile(files[0] as File);
}
};
const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
const files = e.target.files;
if (files && files.length > 0) {
processFile(files[0] as File);
}
};
const processFile = (file: File) => {
setFile(file);
// skip reading if file is larger than 10MB
if (file.size > 10000000) {
setTrainingRows(null);
return;
}
const reader = new FileReader();
reader.onload = (e: ProgressEvent<FileReader>) => {
const content = e.target?.result as string;
// Process the content, e.g., set to state
let parsedJSONL;
try {
parsedJSONL = parseJSONL(content) as TrainingRow[];
const validationError = validateTrainingRows(parsedJSONL);
if (validationError) {
setValidationError(validationError);
setTrainingRows(null);
return;
}
setTrainingRows(parsedJSONL);
// eslint-disable-next-line @typescript-eslint/no-explicit-any
} catch (e: any) {
setValidationError("Unable to parse JSONL file: " + (e.message as string));
setTrainingRows(null);
return;
}
};
reader.readAsText(file);
};
const resetState = useCallback(() => {
setValidationError(null);
setTrainingRows(null);
setFile(null);
}, [setValidationError, setTrainingRows, setFile]);
useEffect(() => {
if (disclosure.isOpen) {
resetState();
}
}, [disclosure.isOpen, resetState]);
const triggerFileDownloadMutation = api.datasets.triggerFileDownload.useMutation();
const utils = api.useContext();
const [sendJSONL, sendingInProgress] = useHandledAsyncCallback(async () => {
if (!dataset || !file) return;
const blobName = await uploadDatasetEntryFile(file);
await triggerFileDownloadMutation.mutateAsync({
datasetId: dataset.id,
blobName,
fileName: file.name,
fileSize: file.size,
});
await utils.datasets.listFileUploads.invalidate();
disclosure.onClose();
}, [dataset, trainingRows, triggerFileDownloadMutation, file, utils]);
return (
<Modal
size={{ base: "xl", md: "2xl" }}
closeOnOverlayClick={false}
closeOnEsc={false}
{...disclosure}
>
<ModalOverlay />
<ModalContent w={1200}>
<ModalHeader>
<HStack>
<Text>Upload Training Logs</Text>
</HStack>
</ModalHeader>
{!sendingInProgress && <ModalCloseButton />}
<ModalBody maxW="unset" p={8}>
<Box w="full" aspectRatio={1.5}>
{validationError && (
<VStack w="full" h="full" justifyContent="center" spacing={8}>
<Icon as={AiOutlineFile} boxSize={24} color="gray.300" />
<VStack w="full">
<Text fontSize={32} color="gray.500" fontWeight="bold">
Error
</Text>
<Text color="gray.500">{validationError}</Text>
</VStack>
<Text
as="span"
textDecor="underline"
color="gray.500"
_hover={{ color: "orange.400" }}
cursor="pointer"
onClick={resetState}
>
Try again
</Text>
</VStack>
)}
{!validationError && !file && (
<VStack
w="full"
h="full"
stroke="gray.300"
justifyContent="center"
borderRadius={8}
sx={{
"background-image": `url("data:image/svg+xml,%3csvg width='100%25' height='100%25' xmlns='http://www.w3.org/2000/svg'%3e%3crect x='2%25' y='2%25' width='96%25' height='96%25' fill='none' stroke='%23eee' stroke-width='4' stroke-dasharray='6%2c 14' stroke-dashoffset='0' stroke-linecap='square' rx='8' ry='8'/%3e%3c/svg%3e")`,
}}
onDragOver={(e) => e.preventDefault()}
onDrop={handleFileDrop}
>
<JsonFileIcon />
<Icon as={AiOutlineCloudUpload} boxSize={24} color="gray.300" />
<Text fontSize={32} color="gray.500" fontWeight="bold">
Drag & Drop
</Text>
<Text color="gray.500">
your .jsonl file here, or{" "}
<input
type="file"
ref={fileInputRef}
onChange={handleFileChange}
style={{ display: "none" }}
accept=".jsonl"
/>
<Text
as="span"
textDecor="underline"
_hover={{ color: "orange.400" }}
cursor="pointer"
onClick={() => fileInputRef.current?.click()}
>
browse
</Text>
</Text>
</VStack>
)}
{!validationError && file && (
<VStack w="full" h="full" justifyContent="center" spacing={8}>
<JsonFileIcon />
<VStack w="full">
{trainingRows ? (
<>
<Text fontSize={32} color="gray.500" fontWeight="bold">
Success
</Text>
<Text color="gray.500">
We'll upload <b>{trainingRows.length}</b>{" "}
{pluralize("row", trainingRows.length)} into <b>{dataset?.name}</b>.{" "}
</Text>
</>
) : (
<>
<Text fontSize={32} color="gray.500" fontWeight="bold">
{file.name}
</Text>
<Text color="gray.500">{formatFileSize(file.size)}</Text>
</>
)}
</VStack>
{!sendingInProgress && (
<Text
as="span"
textDecor="underline"
color="gray.500"
_hover={{ color: "orange.400" }}
cursor="pointer"
onClick={resetState}
>
Change file
</Text>
)}
</VStack>
)}
</Box>
</ModalBody>
<ModalFooter>
<HStack>
<Button
colorScheme="gray"
isDisabled={sendingInProgress}
onClick={disclosure.onClose}
minW={24}
>
Cancel
</Button>
<Button
colorScheme="orange"
onClick={sendJSONL}
isLoading={sendingInProgress}
minW={24}
isDisabled={!file || !!validationError}
>
Upload
</Button>
</HStack>
</ModalFooter>
</ModalContent>
</Modal>
);
};
const JsonFileIcon = () => (
<Box position="relative" display="flex" alignItems="center" justifyContent="center">
<Icon as={AiOutlineFile} boxSize={24} color="gray.300" />
<Text position="absolute" color="orange.400" fontWeight="bold" fontSize={12} pt={4}>
JSONL
</Text>
</Box>
);

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@@ -0,0 +1,71 @@
import { type CreateChatCompletionRequestMessage } from "openai/resources/chat";
export type TrainingRow = {
input: CreateChatCompletionRequestMessage[];
output?: CreateChatCompletionRequestMessage;
};
export const parseJSONL = (jsonlString: string): unknown[] => {
const lines = jsonlString.trim().split("\n");
let lineNumber = 0;
const parsedLines = [];
try {
for (const line of lines) {
lineNumber++;
parsedLines.push(JSON.parse(line));
}
// eslint-disable-next-line @typescript-eslint/no-explicit-any
} catch (e: any) {
throw new Error(`Error parsing line ${lineNumber}: ${e.message as string}`);
}
return parsedLines;
};
export const validateTrainingRows = (rows: unknown): string | null => {
if (!Array.isArray(rows)) return "training data is not an array";
for (let i = 0; i < rows.length; i++) {
const row = rows[i] as TrainingRow;
let errorMessage: string | null = null;
try {
errorMessage = validateTrainingRow(row);
// eslint-disable-next-line @typescript-eslint/no-explicit-any
} catch (error: any) {
errorMessage = error.message;
}
if (errorMessage) return `row ${i + 1}: ${errorMessage}`;
}
return null;
};
const validateTrainingRow = (row: TrainingRow): string | null => {
if (!row) return "empty row";
if (!row.input) return "missing input";
// Validate input
if (!Array.isArray(row.input)) return "input is not an array";
if ((row.input as unknown[]).some((x) => typeof x !== "object"))
return "input contains invalid item";
if (row.input.some((x) => !x)) return "input contains empty item";
if (row.input.some((x) => !x.content && !x.function_call))
return "input contains item with no content or function_call";
if (row.input.some((x) => x.function_call && !x.function_call.arguments))
return "input contains item with function_call but no arguments";
if (row.input.some((x) => x.function_call && !x.function_call.name))
return "input contains item with function_call but no name";
// Validate output
if (row.output) {
if (typeof row.output !== "object") return "output is not an object";
if (!row.output.content && !row.output.function_call)
return "output contains no content or function_call";
if (row.output.function_call && !row.output.function_call.arguments)
return "output contains function_call but no arguments";
if (row.output.function_call && !row.output.function_call.name)
return "output contains function_call but no name";
}
return null;
};

View File

@@ -1,36 +1,43 @@
import { useRef } from "react";
import {
Button,
type UseDisclosureReturn,
AlertDialog,
AlertDialogOverlay,
AlertDialogContent,
AlertDialogHeader,
AlertDialogBody,
AlertDialogFooter,
AlertDialogHeader,
AlertDialogContent,
AlertDialogOverlay,
Button,
} from "@chakra-ui/react";
import { useRouter } from "next/router";
import { useRef } from "react";
import { api } from "~/utils/api";
import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
export const DeleteDialog = ({ onClose }: { onClose: () => void }) => {
const experiment = useExperiment();
const deleteMutation = api.experiments.delete.useMutation();
const utils = api.useContext();
const router = useRouter();
import { useHandledAsyncCallback } from "~/utils/hooks";
const DeleteExperimentDialog = ({
experimentId,
onDelete,
disclosure,
}: {
experimentId?: string;
onDelete?: () => void;
disclosure: UseDisclosureReturn;
}) => {
const cancelRef = useRef<HTMLButtonElement>(null);
const [onDeleteConfirm] = useHandledAsyncCallback(async () => {
if (!experiment.data?.id) return;
await deleteMutation.mutateAsync({ id: experiment.data.id });
const mutation = api.experiments.delete.useMutation();
const utils = api.useContext();
const [onDeleteConfirm, deletionInProgress] = useHandledAsyncCallback(async () => {
if (!experimentId) return;
await mutation.mutateAsync({ id: experimentId });
await utils.experiments.list.invalidate();
await router.push({ pathname: "/experiments" });
onClose();
}, [deleteMutation, experiment.data?.id, router]);
onDelete?.();
disclosure.onClose();
}, [mutation, experimentId, disclosure.onClose]);
return (
<AlertDialog isOpen leastDestructiveRef={cancelRef} onClose={onClose}>
<AlertDialog leastDestructiveRef={cancelRef} {...disclosure}>
<AlertDialogOverlay>
<AlertDialogContent>
<AlertDialogHeader fontSize="lg" fontWeight="bold">
@@ -43,10 +50,15 @@ export const DeleteDialog = ({ onClose }: { onClose: () => void }) => {
</AlertDialogBody>
<AlertDialogFooter>
<Button ref={cancelRef} onClick={onClose}>
<Button ref={cancelRef} onClick={disclosure.onClose}>
Cancel
</Button>
<Button colorScheme="red" onClick={onDeleteConfirm} ml={3}>
<Button
colorScheme="red"
isLoading={deletionInProgress}
onClick={onDeleteConfirm}
ml={3}
>
Delete
</Button>
</AlertDialogFooter>
@@ -55,3 +67,5 @@ export const DeleteDialog = ({ onClose }: { onClose: () => void }) => {
</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

@@ -3,17 +3,14 @@ import { useOnForkButtonPressed } from "./useOnForkButtonPressed";
import { useExperiment } from "~/utils/hooks";
import { BsGearFill } from "react-icons/bs";
import { TbGitFork } from "react-icons/tb";
import { useAppStore } from "~/state/store";
export const ExperimentHeaderButtons = () => {
export const ExperimentHeaderButtons = ({ openDrawer }: { openDrawer: () => void }) => {
const experiment = useExperiment();
const canModify = experiment.data?.access.canModify ?? false;
const { onForkButtonPressed, isForking } = useOnForkButtonPressed();
const openDrawer = useAppStore((s) => s.openDrawer);
if (experiment.isLoading) return null;
return (

View File

@@ -0,0 +1,39 @@
import { Button, Icon, useDisclosure, Text } from "@chakra-ui/react";
import { useRouter } from "next/router";
import { BsTrash } from "react-icons/bs";
import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
import DeleteExperimentDialog from "../DeleteExperimentDialog";
export const DeleteButton = ({ closeDrawer }: { closeDrawer: () => void }) => {
const experiment = useExperiment();
const router = useRouter();
const disclosure = useDisclosure();
const [onDelete] = useHandledAsyncCallback(async () => {
await router.push({ pathname: "/experiments" });
closeDrawer();
}, [router, closeDrawer]);
return (
<>
<Button
size="sm"
variant="ghost"
colorScheme="red"
fontWeight="normal"
onClick={disclosure.onOpen}
>
<Icon as={BsTrash} boxSize={4} />
<Text ml={2}>Delete Experiment</Text>
</Button>
<DeleteExperimentDialog
experimentId={experiment.data?.id}
onDelete={onDelete}
disclosure={disclosure}
/>
</>
);
};

View File

@@ -19,7 +19,7 @@ import { useCallback, useState } from "react";
import { BsPencil, BsX } from "react-icons/bs";
import { api } from "~/utils/api";
import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
import AutoResizeTextArea from "../AutoResizeTextArea";
import AutoResizeTextArea from "~/components/AutoResizeTextArea";
type EvalValues = Pick<Evaluation, "label" | "value" | "evalType">;

View File

@@ -5,7 +5,7 @@ import { BsPencil, BsX } from "react-icons/bs";
import { api } from "~/utils/api";
import { useExperiment, useHandledAsyncCallback, useScenarioVars } from "~/utils/hooks";
import { maybeReportError } from "~/utils/errorHandling/maybeReportError";
import { FloatingLabelInput } from "./FloatingLabelInput";
import { FloatingLabelInput } from "~/components/OutputsTable/FloatingLabelInput";
export const ScenarioVar = ({
variable,

View File

@@ -7,18 +7,19 @@ import {
DrawerOverlay,
Heading,
VStack,
type UseDisclosureReturn,
} from "@chakra-ui/react";
import EditScenarioVars from "../OutputsTable/EditScenarioVars";
import EditEvaluations from "../OutputsTable/EditEvaluations";
import { useAppStore } from "~/state/store";
import EditScenarioVars from "./EditScenarioVars";
import EditEvaluations from "./EditEvaluations";
import { DeleteButton } from "./DeleteButton";
export default function ExperimentSettingsDrawer() {
const isOpen = useAppStore((state) => state.drawerOpen);
const closeDrawer = useAppStore((state) => state.closeDrawer);
export default function ExperimentSettingsDrawer({
disclosure,
}: {
disclosure: UseDisclosureReturn;
}) {
return (
<Drawer isOpen={isOpen} placement="right" onClose={closeDrawer} size="md">
<Drawer placement="right" size="md" {...disclosure}>
<DrawerOverlay />
<DrawerContent>
<DrawerCloseButton />
@@ -31,7 +32,7 @@ export default function ExperimentSettingsDrawer() {
<EditScenarioVars />
<EditEvaluations />
</VStack>
<DeleteButton />
<DeleteButton closeDrawer={disclosure.onClose} />
</VStack>
</DrawerBody>
</DrawerContent>

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, AiOutlineDatabase } 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 +76,11 @@ 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={AiOutlineDatabase} label="Datasets" href="/datasets" beta />
<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 +100,7 @@ const NavSidebar = () => {
<NavSidebarOption>
<HStack
w="full"
p={4}
p={{ base: 2, md: 4 }}
as={ChakraLink}
justifyContent="start"
onClick={() => {
@@ -120,7 +115,22 @@ const NavSidebar = () => {
</NavSidebarOption>
)}
</VStack>
<HStack
w="full"
px={{ base: 3, md: 4 }}
py={{ base: 0, md: 1 }}
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" display={{ base: "none", md: "flex" }}>
Open Documentation
</Text>
</HStack>
<Divider />
<VStack spacing={0} align="center">
<ChakraLink
@@ -141,12 +151,15 @@ 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 +187,21 @@ 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

@@ -1,30 +0,0 @@
import { Button, HStack, type ButtonProps, Icon, Text } from "@chakra-ui/react";
import { type IconType } from "react-icons";
const ActionButton = ({
icon,
label,
...buttonProps
}: { icon: IconType; label: string } & ButtonProps) => {
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>
);
};
export default ActionButton;

View File

@@ -0,0 +1,194 @@
import { useState, useEffect, useMemo } from "react";
import {
Modal,
ModalOverlay,
ModalContent,
ModalHeader,
ModalCloseButton,
ModalBody,
ModalFooter,
HStack,
VStack,
Icon,
Text,
Button,
Flex,
Input,
useDisclosure,
type UseDisclosureReturn,
Checkbox,
} from "@chakra-ui/react";
import { FiPlusSquare } from "react-icons/fi";
import { useDatasets, useHandledAsyncCallback } from "~/utils/hooks";
import { api } from "~/utils/api";
import { useAppStore } from "~/state/store";
import ActionButton from "../ActionButton";
import InputDropdown from "../InputDropdown";
import { maybeReportError } from "~/utils/errorHandling/maybeReportError";
import { useRouter } from "next/router";
const AddToDatasetButton = () => {
const selectedLogIds = useAppStore((s) => s.selectedLogs.selectedLogIds);
const disclosure = useDisclosure();
return (
<>
<ActionButton
onClick={disclosure.onOpen}
label="Add to Dataset"
icon={FiPlusSquare}
isDisabled={selectedLogIds.size === 0}
requireBeta
/>
<AddToDatasetModal disclosure={disclosure} />
</>
);
};
export default AddToDatasetButton;
const AddToDatasetModal = ({ disclosure }: { disclosure: UseDisclosureReturn }) => {
const selectedProjectId = useAppStore((s) => s.selectedProjectId);
const selectedLogIds = useAppStore((s) => s.selectedLogs.selectedLogIds);
const clearSelectedLogIds = useAppStore((s) => s.selectedLogs.clearSelectedLogIds);
const router = useRouter();
const datasets = useDatasets().data;
const existingDatasetOptions = useMemo(
() =>
datasets?.length
? datasets.map((d) => ({ label: d.name, id: d.id }))
: [{ label: "", id: "" }],
[datasets],
);
const [selectedDatasetOption, setSelectedDatasetOption] = useState(existingDatasetOptions?.[0]);
const [newDatasetName, setNewDatasetName] = useState("");
const [createNewDataset, setCreateNewDataset] = useState(false);
useEffect(() => {
if (disclosure.isOpen) {
setSelectedDatasetOption(existingDatasetOptions?.[0]);
setCreateNewDataset(!existingDatasetOptions[0]?.id);
}
}, [disclosure.isOpen, existingDatasetOptions]);
const createDatasetEntriesMutation = api.datasetEntries.create.useMutation();
const [addToDataset, addingInProgress] = useHandledAsyncCallback(async () => {
if (
!selectedProjectId ||
!selectedLogIds.size ||
!(createNewDataset ? newDatasetName : selectedDatasetOption?.id)
)
return;
const datasetParams = createNewDataset
? { newDatasetParams: { projectId: selectedProjectId, name: newDatasetName } }
: { datasetId: selectedDatasetOption?.id };
const response = await createDatasetEntriesMutation.mutateAsync({
loggedCallIds: Array.from(selectedLogIds),
...datasetParams,
});
if (maybeReportError(response)) return;
const datasetId = response.payload;
await router.push({ pathname: "/datasets/[id]", query: { id: datasetId } });
disclosure.onClose();
clearSelectedLogIds();
}, [
selectedProjectId,
selectedLogIds,
createNewDataset,
selectedDatasetOption?.id,
newDatasetName,
router,
]);
return (
<Modal size={{ base: "xl", md: "2xl" }} {...disclosure}>
<ModalOverlay />
<ModalContent w={1200}>
<ModalHeader>
<HStack>
<Icon as={FiPlusSquare} />
<Text>Add to Dataset</Text>
</HStack>
</ModalHeader>
<ModalCloseButton />
<ModalBody maxW="unset">
<VStack w="full" spacing={8} pt={4} alignItems="flex-start">
<Text>
We'll add the <b>{selectedLogIds.size}</b> logs you have selected to the dataset you
choose.
</Text>
<VStack alignItems="flex-start" spacing={4}>
{existingDatasetOptions?.length && selectedDatasetOption && (
<Flex
flexDir={{ base: "column", md: "row" }}
alignItems={{ base: "flex-start", md: "center" }}
>
<Text fontWeight="bold" w={48}>
Dataset:
</Text>
<InputDropdown
options={existingDatasetOptions}
selectedOption={selectedDatasetOption}
getDisplayLabel={(option) => option.label}
onSelect={(option) => setSelectedDatasetOption(option)}
inputGroupProps={{ w: 48 }}
isDisabled={createNewDataset}
/>
<Checkbox
isChecked={createNewDataset}
onChange={(e) => setCreateNewDataset(e.target.checked)}
paddingLeft={4}
isDisabled={!existingDatasetOptions[0]?.id}
>
<Text>Create New Dataset</Text>
</Checkbox>
</Flex>
)}
{createNewDataset && (
<Flex
flexDir={{ base: "column", md: "row" }}
alignItems={{ base: "flex-start", md: "center" }}
>
<Text w={48} fontWeight="bold">
Dataset Name:
</Text>
<Input
w={48}
value={newDatasetName}
onChange={(e) => setNewDatasetName(e.target.value)}
/>
</Flex>
)}
</VStack>
</VStack>
</ModalBody>
<ModalFooter>
<HStack>
<Button colorScheme="gray" onClick={disclosure.onClose} minW={24}>
Cancel
</Button>
<Button
colorScheme="blue"
onClick={addToDataset}
isLoading={addingInProgress}
minW={24}
>
Add
</Button>
</HStack>
</ModalFooter>
</ModalContent>
</Modal>
);
};

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,
loggedCallIds: 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

@@ -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

@@ -9,26 +9,22 @@ import {
Collapse,
HStack,
VStack,
Button,
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 { 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 +34,14 @@ 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 +57,19 @@ 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 +79,12 @@ 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 +94,14 @@ 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 (
<>
@@ -100,71 +114,116 @@ 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">
<VStack flex={1} align="stretch">
<Heading size="sm">Input</Heading>
<FormattedJson json={loggedCall.modelResponse?.reqPayload} />
</VStack>
<VStack flex={1} align="stretch">
<Heading size="sm">Output</Heading>
<FormattedJson json={loggedCall.modelResponse?.respPayload} />
</VStack>
</HStack>
<ButtonGroup alignSelf="flex-end">
<Button as={Link} colorScheme="blue" href={{ pathname: "/experiments" }}>
Experiments
</Button>
</ButtonGroup>
</VStack>
<HStack align="stretch" p={4}>
<VStack flex={1} align="stretch">
<Heading size="sm">Input</Heading>
<FormattedJson json={loggedCall.modelResponse?.reqPayload} />
</VStack>
<VStack flex={1} align="stretch">
<Heading size="sm">Output</Heading>
<FormattedJson json={loggedCall.modelResponse?.respPayload} />
</VStack>
</HStack>
</Collapse>
</Td>
</Tr>
</>
);
};
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

@@ -26,10 +26,17 @@ export const env = createEnv({
SMTP_PORT: z.string().default("placeholder"),
SMTP_LOGIN: z.string().default("placeholder"),
SMTP_PASSWORD: z.string().default("placeholder"),
AZURE_STORAGE_ACCOUNT_NAME: z.string().default("placeholder"),
AZURE_STORAGE_ACCOUNT_KEY: z.string().default("placeholder"),
AZURE_STORAGE_CONTAINER_NAME: z.string().default("placeholder"),
WORKER_CONCURRENCY: z
.string()
.default("10")
.transform((val) => parseInt(val)),
WORKER_MAX_POOL_SIZE: z
.string()
.default("10")
.transform((val) => parseInt(val)),
},
/**
@@ -42,8 +49,6 @@ 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 +63,6 @@ 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 +70,16 @@ 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,
AZURE_STORAGE_ACCOUNT_NAME: process.env.AZURE_STORAGE_ACCOUNT_NAME,
AZURE_STORAGE_ACCOUNT_KEY: process.env.AZURE_STORAGE_ACCOUNT_KEY,
AZURE_STORAGE_CONTAINER_NAME: process.env.AZURE_STORAGE_CONTAINER_NAME,
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";
@@ -14,9 +14,18 @@ export async function getCompletion(
let finalCompletion: ChatCompletion | null = null;
try {
if (onStream) {
if (onStream && !input.function_call) {
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

@@ -42,24 +42,21 @@ const modelProvider: OpenaiChatModelProvider = {
canStream: true,
getCompletion,
getUsage: (input, output) => {
if (output.choices.length === 0) return null;
const model = modelProvider.getModel(input);
if (!model) return null;
let inputTokens: number;
let outputTokens: number;
if (output.usage) {
if (output?.usage) {
inputTokens = output.usage.prompt_tokens;
outputTokens = output.usage.completion_tokens;
} else {
try {
inputTokens = countOpenAIChatTokens(model, input.messages);
outputTokens = countOpenAIChatTokens(
model,
output.choices.map((c) => c.message).filter(truthyFilter),
);
outputTokens = output
? countOpenAIChatTokens(model, output.choices.map((c) => c.message).filter(truthyFilter))
: 0;
} catch (err) {
inputTokens = 0;
outputTokens = 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

@@ -8,9 +8,9 @@ const replicate = new Replicate({
});
const modelIds: Record<ReplicateLlama2Input["model"], string> = {
"7b-chat": "7b0bfc9aff140d5b75bacbed23e91fd3c34b01a1e958d32132de6e0a19796e2c",
"13b-chat": "2a7f981751ec7fdf87b5b91ad4db53683a98082e9ff7bfd12c8cd5ea85980a52",
"70b-chat": "2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1",
"7b-chat": "658b64a1e83d7caaba4ef10d5ee9c12c40770003f45852f05c2564962f921d8e",
"13b-chat": "7457c09004773f9f9710f7eb3b270287ffcebcfb23a13c8ec30cfb98f6bff9b2",
"70b-chat": "4dfd64cc207097970659087cf5670e3c1fbe02f83aa0f751e079cfba72ca790a",
};
export async function getCompletion(

View File

@@ -59,7 +59,7 @@ export type ModelProvider<SupportedModels extends string, InputSchema, OutputSch
) => Promise<CompletionResponse<OutputSchema>>;
getUsage: (
input: InputSchema,
output: OutputSchema,
output?: OutputSchema,
) => { gpuRuntime?: number; inputTokens?: number; outputTokens?: number; cost?: number } | null;
// This is just a convenience for type inference, don't use it at runtime

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 +1,121 @@
import {
Breadcrumb,
BreadcrumbItem,
Center,
Flex,
Icon,
Input,
VStack,
HStack,
useDisclosure,
} from "@chakra-ui/react";
import Link from "next/link";
import { useState, useEffect } from "react";
import { AiOutlineDatabase } from "react-icons/ai";
import AppShell from "~/components/nav/AppShell";
import { api } from "~/utils/api";
import { useDataset, useHandledAsyncCallback } from "~/utils/hooks";
import PageHeaderContainer from "~/components/nav/PageHeaderContainer";
import ProjectBreadcrumbContents from "~/components/nav/ProjectBreadcrumbContents";
import DatasetConfigurationDrawer from "~/components/datasets/DatasetConfigurationDrawer/DatasetConfigurationDrawer";
import { DatasetHeaderButtons } from "~/components/datasets/DatasetHeaderButtons";
import DatasetEntriesTable from "~/components/datasets/DatasetEntriesTable/DatasetEntriesTable";
import DatasetEntryPaginator from "~/components/datasets/DatasetEntryPaginator";
import { useAppStore } from "~/state/store";
import FineTuneButton from "~/components/datasets/FineTuneButton";
// import ExperimentButton from "~/components/datasets/ExperimentButton";
import UploadDataButton from "~/components/datasets/UploadDataButton";
// import DownloadButton from "~/components/datasets/DownloadButton";
import DeleteButton from "~/components/datasets/DeleteButton";
import FileUploadsCard from "~/components/datasets/FileUploadsCard";
export default function Dataset() {
const utils = api.useContext();
const dataset = useDataset();
const drawerDisclosure = useDisclosure();
const [name, setName] = useState(dataset.data?.name || "");
useEffect(() => {
setName(dataset.data?.name || "");
}, [dataset.data?.name]);
useEffect(() => {
useAppStore.getState().sharedArgumentsEditor.loadMonaco().catch(console.error);
}, []);
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,
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" overflowY="scroll">
<PageHeaderContainer>
<Breadcrumb>
<BreadcrumbItem>
<ProjectBreadcrumbContents projectName={dataset.data?.project?.name} />
</BreadcrumbItem>
<BreadcrumbItem>
<Link href="/datasets">
<Flex alignItems="center" _hover={{ textDecoration: "underline" }}>
<Icon as={AiOutlineDatabase} 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 openDrawer={drawerDisclosure.onOpen} />
</PageHeaderContainer>
<VStack px={8} py={8} alignItems="flex-start" spacing={4} w="full">
<HStack w="full" justifyContent="flex-end">
<FineTuneButton />
<UploadDataButton />
{/* <ExperimentButton /> */}
{/* <DownloadButton /> */}
<DeleteButton />
</HStack>
<DatasetEntriesTable />
<DatasetEntryPaginator />
</VStack>
</VStack>
<FileUploadsCard />
</AppShell>
<DatasetConfigurationDrawer disclosure={drawerDisclosure} />
</>
);
}

View File

@@ -0,0 +1,17 @@
import { VStack, Text, Divider } from "@chakra-ui/react";
import AppShell from "~/components/nav/AppShell";
import DatasetsTable from "~/components/datasets/DatasetsTable";
export default function DatasetsPage() {
return (
<AppShell title="Datasets" requireAuth>
<VStack w="full" py={8} px={8} spacing={4} alignItems="flex-start">
<Text fontSize="2xl" fontWeight="bold">
Datasets
</Text>
<Divider />
<DatasetsTable />
</VStack>
</AppShell>
);
}

View File

@@ -8,26 +8,25 @@ import {
Input,
Text,
VStack,
useDisclosure,
} from "@chakra-ui/react";
import Link from "next/link";
import { useRouter } from "next/router";
import { useState, useEffect } from "react";
import { RiFlaskLine } from "react-icons/ri";
import OutputsTable from "~/components/OutputsTable";
import ExperimentSettingsDrawer from "~/components/ExperimentSettingsDrawer/ExperimentSettingsDrawer";
import ExperimentSettingsDrawer from "~/components/experiments/ExperimentSettingsDrawer/ExperimentSettingsDrawer";
import { ExperimentHeaderButtons } from "~/components/experiments/ExperimentHeaderButtons/ExperimentHeaderButtons";
import AppShell from "~/components/nav/AppShell";
import { api } from "~/utils/api";
import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
import { useAppStore } from "~/state/store";
import { useSyncVariantEditor } from "~/state/sync";
import { ExperimentHeaderButtons } from "~/components/experiments/ExperimentHeaderButtons/ExperimentHeaderButtons";
import Head from "next/head";
import PageHeaderContainer from "~/components/nav/PageHeaderContainer";
import ProjectBreadcrumbContents from "~/components/nav/ProjectBreadcrumbContents";
export default function Experiment() {
const router = useRouter();
const utils = api.useContext();
useSyncVariantEditor();
@@ -44,6 +43,7 @@ export default function Experiment() {
useAppStore.getState().sharedVariantEditor.loadMonaco().catch(console.error);
}, []);
const drawerDisclosure = useDisclosure();
const [label, setLabel] = useState(experiment.data?.label || "");
useEffect(() => {
setLabel(experiment.data?.label || "");
@@ -121,11 +121,11 @@ export default function Experiment() {
)}
</BreadcrumbItem>
</Breadcrumb>
<ExperimentHeaderButtons />
<ExperimentHeaderButtons openDrawer={drawerDisclosure.onOpen} />
</PageHeaderContainer>
<ExperimentSettingsDrawer />
<ExperimentSettingsDrawer disclosure={drawerDisclosure} />
<Box w="100%" overflowX="auto" flex={1} id="output-container">
<OutputsTable experimentId={experiment.data?.id} />
<OutputsTable experimentId={experiment.data?.id} openDrawer={drawerDisclosure.onOpen} />
</Box>
</VStack>
</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

@@ -1,14 +1,16 @@
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";
import LoggedCallsPaginator from "~/components/requestLogs/LoggedCallsPaginator";
import ActionButton from "~/components/requestLogs/ActionButton";
import ActionButton from "~/components/ActionButton";
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 ExportButton from "~/components/requestLogs/ExportButton";
import AddToDatasetButton from "~/components/requestLogs/AddToDatasetButton";
export default function LoggedCalls() {
const selectedLogIds = useAppStore((s) => s.selectedLogs.selectedLogIds);
@@ -17,32 +19,29 @@ 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">
<AddToDatasetButton />
<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

@@ -119,10 +119,10 @@ export const v1ApiRouter = createOpenApiRouter({
let usage;
let model;
if (reqPayload.success && respPayload.success) {
if (reqPayload.success) {
usage = modelProvider.getUsage(
input.reqPayload as CompletionCreateParams,
input.respPayload as ChatCompletion,
respPayload.success ? (input.respPayload as ChatCompletion) : undefined,
);
model = reqPayload.data.model;
}

View File

@@ -6,11 +6,12 @@ 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 { datasetsRouter } from "./routers/datasets.router";
import { datasetEntriesRouter } from "./routers/datasetEntries.router";
import { fineTunesRouter } from "./routers/fineTunes.router";
import { usersRouter } from "./routers/users.router";
import { adminJobsRouter } from "./routers/adminJobs.router";
@@ -27,11 +28,12 @@ export const appRouter = createTRPCRouter({
scenarioVars: scenarioVarsRouter,
evaluations: evaluationsRouter,
worldChamps: worldChampsRouter,
datasets: datasetsRouter,
datasetEntries: datasetEntries,
projects: projectsRouter,
dashboard: dashboardRouter,
loggedCalls: loggedCallsRouter,
datasets: datasetsRouter,
datasetEntries: datasetEntriesRouter,
fineTunes: fineTunesRouter,
users: usersRouter,
adminJobs: adminJobsRouter,
});

View File

@@ -1,145 +1,337 @@
import { z } from "zod";
import { v4 as uuidv4 } from "uuid";
import {
type ChatCompletion,
type CompletionCreateParams,
type CreateChatCompletionRequestMessage,
} from "openai/resources/chat";
import { TRPCError } from "@trpc/server";
import archiver from "archiver";
import { WritableStreamBuffer } from "stream-buffers";
import { createTRPCRouter, protectedProcedure } from "~/server/api/trpc";
import { prisma } from "~/server/db";
import { requireCanModifyDataset, requireCanViewDataset } from "~/utils/accessControl";
import { autogenerateDatasetEntries } from "../autogenerate/autogenerateDatasetEntries";
import { requireCanModifyProject, requireCanViewProject } from "~/utils/accessControl";
import { error, success } from "~/utils/errorHandling/standardResponses";
import { countOpenAIChatTokens } from "~/utils/countTokens";
import { type TrainingRow } from "~/components/datasets/validateTrainingRows";
import hashObject from "~/server/utils/hashObject";
import { type JsonValue } from "type-fest";
import { formatEntriesFromTrainingRows } from "~/server/utils/createEntriesFromTrainingRows";
export const datasetEntries = createTRPCRouter({
export const datasetEntriesRouter = 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 { projectId } = await prisma.dataset.findUniqueOrThrow({
where: { id: datasetId },
});
await requireCanViewProject(projectId, ctx);
const count = await prisma.datasetEntry.count({
where: {
datasetId,
},
});
const [entries, matchingEntries, trainingCount, testingCount] = await prisma.$transaction([
prisma.datasetEntry.findMany({
where: {
datasetId: datasetId,
},
orderBy: [{ createdAt: "desc" }, { id: "desc" }],
skip: (page - 1) * pageSize,
take: pageSize,
}),
prisma.datasetEntry.findMany({
where: {
datasetId: datasetId,
},
select: {
id: true,
},
}),
prisma.datasetEntry.count({
where: {
datasetId: datasetId,
type: "TRAIN",
},
}),
prisma.datasetEntry.count({
where: {
datasetId: datasetId,
type: "TEST",
},
}),
]);
return {
entries,
count,
matchingEntryIds: matchingEntries.map((entry) => entry.id),
trainingCount,
testingCount,
};
}),
createOne: protectedProcedure
get: protectedProcedure.input(z.object({ id: z.string() })).query(async ({ input, ctx }) => {
const entry = await prisma.datasetEntry.findUniqueOrThrow({
where: { id: input.id },
include: {
dataset: true,
},
});
if (!entry.dataset) {
throw new TRPCError({ message: "Dataset not found for dataset entry", code: "NOT_FOUND" });
}
await requireCanViewProject(entry.dataset.projectId, ctx);
if (!entry) {
throw new TRPCError({ message: "Dataset entry not found", code: "NOT_FOUND" });
}
return entry;
}),
create: protectedProcedure
.input(
z.object({
datasetId: z.string(),
input: z.string(),
output: z.string().optional(),
datasetId: z.string().optional(),
newDatasetParams: z
.object({
projectId: z.string(),
name: z.string(),
})
.optional(),
loggedCallIds: z.string().array().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`);
let datasetId: string;
let trainingRatio = 0.8;
if (input.datasetId) {
datasetId = input.datasetId;
const { projectId, trainingRatio: datasetTrainingRatio } =
await prisma.dataset.findUniqueOrThrow({
where: { id: input.datasetId },
});
trainingRatio = datasetTrainingRatio;
await requireCanModifyProject(projectId, ctx);
} else if (input.newDatasetParams) {
await requireCanModifyProject(input.newDatasetParams.projectId, ctx);
datasetId = uuidv4();
} else {
return error("No datasetId or newDatasetParams provided");
}
const entries = await autogenerateDatasetEntries(
input.numToGenerate,
input.inputDescription,
input.outputDescription,
);
if (!input.loggedCallIds) {
return error("No loggedCallIds provided");
}
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({
const loggedCalls = await prisma.loggedCall.findMany({
where: {
id: input.id,
id: {
in: input.loggedCallIds,
},
modelResponse: {
isNot: null,
},
},
include: {
modelResponse: {
select: {
reqPayload: true,
respPayload: true,
inputTokens: true,
outputTokens: true,
},
},
},
orderBy: { createdAt: "desc" },
});
}),
const trainingRows = loggedCalls.map((loggedCall) => {
const inputMessages = (
loggedCall.modelResponse?.reqPayload as unknown as CompletionCreateParams
).messages;
let output: ChatCompletion.Choice.Message | undefined = undefined;
const resp = loggedCall.modelResponse?.respPayload as unknown as ChatCompletion | undefined;
if (resp && resp.choices?.[0]) {
output = resp.choices[0].message;
}
return {
input: inputMessages as unknown as CreateChatCompletionRequestMessage[],
output: output as unknown as CreateChatCompletionRequestMessage,
};
});
const datasetEntriesToCreate = await formatEntriesFromTrainingRows(datasetId, trainingRows);
// Ensure dataset and dataset entries are created atomically
await prisma.$transaction([
prisma.dataset.upsert({
where: { id: datasetId },
update: {},
create: {
id: datasetId,
projectId: input.newDatasetParams?.projectId ?? "",
name: input.newDatasetParams?.name ?? "",
trainingRatio,
},
}),
prisma.datasetEntry.createMany({
data: datasetEntriesToCreate,
}),
]);
return success(datasetId);
}),
update: protectedProcedure
.input(
z.object({
id: z.string(),
updates: z.object({
input: z.string(),
type: z.enum(["TRAIN", "TEST"]).optional(),
input: z.string().optional(),
output: z.string().optional(),
}),
}),
)
.mutation(async ({ input, ctx }) => {
const existing = await prisma.datasetEntry.findUnique({
where: {
id: input.id,
const { dataset } = await prisma.datasetEntry.findUniqueOrThrow({
where: { id: input.id },
include: {
dataset: true,
},
});
if (!existing) {
throw new Error(`dataEntry with id ${input.id} does not exist`);
if (!dataset) {
return error("Dataset not found for dataset entry");
}
await requireCanModifyDataset(existing.datasetId, ctx);
await requireCanModifyProject(dataset.projectId, ctx);
return await prisma.datasetEntry.update({
where: {
id: input.id,
},
let parsedInput = undefined;
let inputTokens = undefined;
if (input.updates.input) {
parsedInput = JSON.parse(input.updates.input);
inputTokens = countOpenAIChatTokens(
"gpt-4-0613",
parsedInput as unknown as CreateChatCompletionRequestMessage[],
);
}
let parsedOutput = undefined;
let outputTokens = undefined;
// The client might send "null" as a string, so we need to check for that
if (input.updates.output && input.updates.output !== "null") {
parsedOutput = JSON.parse(input.updates.output);
outputTokens = countOpenAIChatTokens("gpt-4-0613", [
parsedOutput as unknown as ChatCompletion.Choice.Message,
]);
}
await prisma.datasetEntry.update({
where: { id: input.id },
data: {
input: input.updates.input,
output: input.updates.output,
type: input.updates.type,
input: parsedInput,
output: parsedOutput,
inputTokens,
outputTokens,
},
});
return success("Dataset entry updated");
}),
delete: protectedProcedure
.input(z.object({ ids: z.string().array() }))
.mutation(async ({ input, ctx }) => {
if (input.ids.length === 0) {
return error("No ids provided");
}
const { dataset } = await prisma.datasetEntry.findUniqueOrThrow({
where: { id: input.ids[0] },
include: {
dataset: true,
},
});
if (!dataset) {
return error("Dataset not found for dataset entry");
}
await requireCanModifyProject(dataset.projectId, ctx);
await prisma.datasetEntry.deleteMany({
where: {
id: {
in: input.ids,
},
datasetId: dataset?.id,
},
});
return success("Dataset entries deleted");
}),
export: protectedProcedure
.input(
z.object({
datasetId: z.string(),
datasetEntryIds: z.string().array(),
testingSplit: z.number(),
removeDuplicates: z.boolean(),
}),
)
.mutation(async ({ input, ctx }) => {
const { projectId } = await prisma.dataset.findUniqueOrThrow({
where: { id: input.datasetId },
});
await requireCanViewProject(projectId, ctx);
const datasetEntries = await ctx.prisma.datasetEntry.findMany({
where: {
id: {
in: input.datasetEntryIds,
},
},
});
let rows: TrainingRow[] = datasetEntries.map((entry) => ({
input: entry.input as unknown as CreateChatCompletionRequestMessage[],
output: entry.output as unknown as CreateChatCompletionRequestMessage,
}));
if (input.removeDuplicates) {
const deduplicatedRows = [];
const rowHashSet = new Set<string>();
for (const row of rows) {
const rowHash = hashObject(row as unknown as JsonValue);
if (!rowHashSet.has(rowHash)) {
rowHashSet.add(rowHash);
deduplicatedRows.push(row);
}
}
rows = deduplicatedRows;
}
const splitIndex = Math.floor((rows.length * input.testingSplit) / 100);
const testingData = rows.slice(0, splitIndex);
const trainingData = rows.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

@@ -1,87 +1,182 @@
import { z } from "zod";
import { createTRPCRouter, protectedProcedure, publicProcedure } from "~/server/api/trpc";
import { createTRPCRouter, protectedProcedure } from "~/server/api/trpc";
import { prisma } from "~/server/db";
import {
requireCanModifyDataset,
requireCanModifyProject,
requireCanViewDataset,
requireCanViewProject,
} from "~/utils/accessControl";
import { requireCanModifyProject, requireCanViewProject } from "~/utils/accessControl";
import { error, success } from "~/utils/errorHandling/standardResponses";
import { generateServiceClientUrl } from "~/utils/azure/server";
import { queueImportDatasetEntries } from "~/server/tasks/importDatasetEntries.task";
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({
get: protectedProcedure.input(z.object({ id: z.string() })).query(async ({ input, ctx }) => {
const dataset = await prisma.dataset.findUniqueOrThrow({
where: { id: input.id },
include: {
project: true,
},
});
await requireCanViewProject(dataset.projectId, ctx);
return dataset;
}),
create: protectedProcedure
list: protectedProcedure
.input(z.object({ projectId: z.string() }))
.mutation(async ({ input, ctx }) => {
await requireCanModifyProject(input.projectId, ctx);
.query(async ({ input, ctx }) => {
await requireCanViewProject(input.projectId, ctx);
const numDatasets = await prisma.dataset.count({
return await prisma.dataset.findMany({
where: {
projectId: input.projectId,
},
});
return await prisma.dataset.create({
data: {
name: `Dataset ${numDatasets + 1}`,
projectId: input.projectId,
include: {
_count: {
select: {
datasetEntries: true,
},
},
},
orderBy: { createdAt: "desc" },
});
}),
update: protectedProcedure
.input(z.object({ id: z.string(), updates: z.object({ name: z.string() }) }))
create: protectedProcedure
.input(
z.object({
projectId: z.string(),
name: z.string(),
}),
)
.mutation(async ({ input, ctx }) => {
await requireCanModifyDataset(input.id, ctx);
return await prisma.dataset.update({
where: {
id: input.id,
},
await requireCanModifyProject(input.projectId, ctx);
const dataset = await prisma.dataset.create({
data: {
name: input.updates.name,
projectId: input.projectId,
name: input.name,
},
});
return success(dataset);
}),
update: protectedProcedure
.input(
z.object({
id: z.string(),
name: z.string(),
}),
)
.mutation(async ({ input, ctx }) => {
const { projectId } = await prisma.dataset.findUniqueOrThrow({
where: { id: input.id },
});
await requireCanModifyProject(projectId, ctx);
await prisma.dataset.update({
where: { id: input.id },
data: {
name: input.name,
},
});
return success("Dataset updated");
}),
delete: protectedProcedure
.input(z.object({ id: z.string() }))
.mutation(async ({ input, ctx }) => {
await requireCanModifyDataset(input.id, ctx);
const { projectId } = await prisma.dataset.findUniqueOrThrow({
where: { id: input.id },
});
await requireCanModifyProject(projectId, ctx);
await prisma.dataset.delete({
where: { id: input.id },
});
return success("Dataset deleted");
}),
getServiceClientUrl: protectedProcedure
.input(z.object({ projectId: z.string() }))
.query(async ({ input, ctx }) => {
// The user must at least be authenticated to get a SAS token
await requireCanModifyProject(input.projectId, ctx);
return generateServiceClientUrl();
}),
triggerFileDownload: protectedProcedure
.input(
z.object({
datasetId: z.string(),
blobName: z.string(),
fileName: z.string(),
fileSize: z.number(),
}),
)
.mutation(async ({ input, ctx }) => {
const { projectId } = await prisma.dataset.findUniqueOrThrow({
where: { id: input.datasetId },
});
await requireCanViewProject(projectId, ctx);
const { id } = await prisma.datasetFileUpload.create({
data: {
datasetId: input.datasetId,
blobName: input.blobName,
status: "PENDING",
fileName: input.fileName,
fileSize: input.fileSize,
uploadedAt: new Date(),
},
});
await queueImportDatasetEntries(id);
}),
listFileUploads: protectedProcedure
.input(z.object({ datasetId: z.string() }))
.query(async ({ input, ctx }) => {
const { projectId } = await prisma.dataset.findUniqueOrThrow({
where: { id: input.datasetId },
});
await requireCanViewProject(projectId, ctx);
return await prisma.datasetFileUpload.findMany({
where: {
id: input.id,
datasetId: input.datasetId,
visible: true,
},
orderBy: { createdAt: "desc" },
});
}),
hideFileUploads: protectedProcedure
.input(z.object({ fileUploadIds: z.string().array() }))
.mutation(async ({ input, ctx }) => {
if (!input.fileUploadIds.length) return error("No file upload ids provided");
const {
dataset: { projectId, id: datasetId },
} = await prisma.datasetFileUpload.findUniqueOrThrow({
where: { id: input.fileUploadIds[0] },
select: {
dataset: {
select: {
id: true,
projectId: true,
},
},
},
});
await requireCanModifyProject(projectId, ctx);
await prisma.datasetFileUpload.updateMany({
where: {
id: {
in: input.fileUploadIds,
},
datasetId,
},
data: {
visible: false,
},
});
}),

View File

@@ -0,0 +1,90 @@
import { z } from "zod";
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({
datasetId: z.string(),
slug: z.string(),
baseModel: z.string(),
}),
)
.mutation(async ({ input, ctx }) => {
const { projectId } = await prisma.dataset.findUniqueOrThrow({
where: {
id: input.datasetId,
},
});
await requireCanModifyProject(projectId, ctx);
const existingFineTune = await prisma.fineTune.findFirst({
where: {
slug: input.slug,
},
});
if (existingFineTune) {
return error("A fine tune with that slug already exists");
}
await prisma.fineTune.create({
data: {
projectId,
slug: input.slug,
baseModel: input.baseModel,
datasetId: input.datasetId,
},
});
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(),
loggedCallIds: 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.loggedCallIds },
},
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

@@ -93,17 +93,12 @@ export const promptVariantsRouter = createTRPCRouter({
visible: true,
},
});
const outputCount = await prisma.scenarioVariantCell.count({
const finishedCount = await prisma.scenarioVariantCell.count({
where: {
promptVariantId: input.variantId,
testScenario: { visible: true },
modelResponses: {
some: {
outdated: false,
respPayload: {
not: Prisma.AnyNull,
},
},
retrievalStatus: {
in: ["COMPLETE", "ERROR"],
},
},
});
@@ -131,7 +126,7 @@ export const promptVariantsRouter = createTRPCRouter({
const inputTokens = overallTokens._sum?.inputTokens ?? 0;
const outputTokens = overallTokens._sum?.outputTokens ?? 0;
const awaitingCompletions = outputCount < scenarioCount;
const awaitingCompletions = finishedCount < scenarioCount;
const awaitingEvals = !!evalResults.find(
(result) => result.totalCount < scenarioCount * evals.length,
@@ -143,7 +138,7 @@ export const promptVariantsRouter = createTRPCRouter({
outputTokens,
overallCost: overallTokens._sum?.cost ?? 0,
scenarioCount,
outputCount,
finishedCount,
awaitingCompletions,
awaitingEvals,
};
@@ -196,7 +191,10 @@ 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 +296,7 @@ export const promptVariantsRouter = createTRPCRouter({
.input(
z.object({
id: z.string(),
originalPromptFn: z.string(),
instructions: z.string().optional(),
newModel: z
.object({
@@ -315,22 +314,21 @@ 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 +1,152 @@
import { type DatasetFileUpload } from "@prisma/client";
import { prisma } from "~/server/db";
import defineTask from "./defineTask";
import { downloadBlobToString } from "~/utils/azure/server";
import {
type TrainingRow,
validateTrainingRows,
parseJSONL,
} from "~/components/datasets/validateTrainingRows";
import { formatEntriesFromTrainingRows } from "~/server/utils/createEntriesFromTrainingRows";
export type ImportDatasetEntriesJob = {
datasetFileUploadId: string;
};
export const importDatasetEntries = defineTask<ImportDatasetEntriesJob>(
"importDatasetEntries",
async (task) => {
const { datasetFileUploadId } = task;
const datasetFileUpload = await prisma.datasetFileUpload.findUnique({
where: { id: datasetFileUploadId },
});
if (!datasetFileUpload) {
await prisma.datasetFileUpload.update({
where: { id: datasetFileUploadId },
data: {
errorMessage: "Dataset File Upload not found",
status: "ERROR",
},
});
return;
}
await prisma.datasetFileUpload.update({
where: { id: datasetFileUploadId },
data: {
status: "DOWNLOADING",
progress: 5,
},
});
const onBlobDownloadProgress = async (progress: number) => {
await prisma.datasetFileUpload.update({
where: { id: datasetFileUploadId },
data: {
progress: 5 + Math.floor((progress / datasetFileUpload.fileSize) * 25),
},
});
};
const jsonlStr = await downloadBlobToString(datasetFileUpload.blobName, onBlobDownloadProgress);
let trainingRows: TrainingRow[] = [];
let validationError: string | null = null;
try {
trainingRows = parseJSONL(jsonlStr) as TrainingRow[];
validationError = validateTrainingRows(trainingRows);
// eslint-disable-next-line @typescript-eslint/no-explicit-any
} catch (e: any) {
validationError = e.message;
}
if (validationError) {
await prisma.datasetFileUpload.update({
where: { id: datasetFileUploadId },
data: {
errorMessage: `Invalid JSONL: ${validationError}`,
status: "ERROR",
},
});
return;
}
await prisma.datasetFileUpload.update({
where: { id: datasetFileUploadId },
data: {
status: "PROCESSING",
progress: 30,
},
});
const updatePromises: Promise<DatasetFileUpload>[] = [];
const updateCallback = async (progress: number) => {
await prisma.datasetFileUpload.update({
where: { id: datasetFileUploadId },
data: {
progress: 30 + Math.floor((progress / trainingRows.length) * 69),
},
});
};
let datasetEntriesToCreate;
try {
datasetEntriesToCreate = await formatEntriesFromTrainingRows(
datasetFileUpload.datasetId,
trainingRows,
updateCallback,
500,
);
// eslint-disable-next-line @typescript-eslint/no-explicit-any
} catch (e: any) {
await prisma.datasetFileUpload.update({
where: { id: datasetFileUploadId },
data: {
errorMessage: `Error formatting rows: ${e.message as string}`,
status: "ERROR",
visible: true,
},
});
return;
}
await Promise.all(updatePromises);
await prisma.datasetFileUpload.update({
where: { id: datasetFileUploadId },
data: {
status: "SAVING",
progress: 99,
},
});
await prisma.datasetEntry.createMany({
data: datasetEntriesToCreate,
});
await prisma.datasetFileUpload.update({
where: { id: datasetFileUploadId },
data: {
status: "COMPLETE",
progress: 100,
visible: true,
},
});
},
);
export const queueImportDatasetEntries = async (datasetFileUploadId: string) => {
await Promise.all([
prisma.datasetFileUpload.update({
where: {
id: datasetFileUploadId,
},
data: {
errorMessage: null,
status: "PENDING",
},
}),
importDatasetEntries.enqueue({ datasetFileUploadId }),
]);
};

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