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Max DeichmannandGitHub d31b0eaddc security: upgrade dompurify v2 (#5570)
security: upgrade dompurify
2025-02-15 12:26:51 +00:00
Max Deichmann f53ad4de5c chore: release v2.95.1
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2025-02-11 14:19:25 +01:00
Max DeichmannandGitHub 053d7d668d security: upgrade sentry 8.52.0 (#5477)
fix
2025-02-11 14:18:38 +01:00
Max DeichmannandGitHub 21e3ed2b39 security: upgrade clickhouse migration package (#5478)
push
2025-02-11 14:18:26 +01:00
Max DeichmannandGitHub 16ca4e9293 security: upgrade json path (#5475) 2025-02-11 13:44:51 +01:00
Marc KlingenandGitHub 75f82be88d ci(v2): run codespell also on v2 branch and prs (#5224) (#5225) 2025-01-27 13:25:31 +01:00
Marc Klingen 22f6a02b08 chore: release v2.95.0
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2025-01-27 13:16:16 +01:00
Marc KlingenandGitHub 11aa1dbbb1 feat(v2-auth): make checks and auth method configurable across SSO providers (#5203) (#5219) 2025-01-27 13:15:33 +01:00
steffen911 d961d85a28 chore: release v2.94.0
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2025-01-24 16:35:20 +01:00
Steffen SchmitzandGitHub d0c1ad5144 feat: add proxy support for oauth flows (#5198) (#5201)
(cherry picked from commit c442c4290e)
2025-01-24 16:34:53 +01:00
Marc Klingen 0d30b2fe83 chore: release v2.93.9
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2025-01-24 14:12:59 +01:00
Marc KlingenandGitHub f33bae6683 feat(auth-v2): Add AUTH_CUSTOM_ID_TOKEN environment variable (#5193) (#5196) 2025-01-24 14:12:00 +01:00
Baptiste Mille-MathiasandGitHub eaa0df125b feat: add support for DATABASE_ARGS config (cherry-pick) (#5152) 2025-01-24 13:50:17 +01:00
Max Deichmann b0e01b7127 chore: release v2.93.8
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2025-01-06 10:54:29 +01:00
Max DeichmannandGitHub 2a421e7406 security: upgrade next (#4891)
push
2025-01-06 10:45:23 +01:00
Marc Klingen 23150b68db chore: release v2.93.7
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2024-12-19 00:57:59 +01:00
Ildar IapparovandMarc Klingen e5c46010a4 feat(auth): add AUTH_IGNORE_ACCOUNT_FIELDS to sanitize IDP fields before creating an account (#4728)
* feat: Field sanitization before creating an Account

* add comments

---------

Co-authored-by: Marc Klingen <git@marcklingen.com>
2024-12-19 00:57:07 +01:00
Marc Klingen b2bf68d7a4 chore: release v2.93.6
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2024-12-13 02:57:59 +01:00
Marc Klingen 31cec4f5c9 feat: in HF Spaces, prompt opening in new tab when running in iframe (#4713) 2024-12-13 02:45:32 +01:00
Max Deichmann 84a0ad8dfb chore: release v2.93.5
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2024-12-12 14:06:33 +01:00
Max DeichmannandGitHub 69466fd43b security: upgrade next-auth (#4702) 2024-12-12 14:06:12 +01:00
Marc Klingen 324e078c85 chore: release v2.93.4
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2024-12-04 00:07:38 +01:00
Marc Klingen 7385fc4529 fix: disable x frame options header on Hugging Face (#4558) 2024-12-04 00:07:02 +01:00
Marc Klingen 66d1fa427f chore: release v2.93.3
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2024-12-03 23:37:22 +01:00
bee396a433 feat(auth): add KeyCloak authentication option (#2866)
---------

Co-authored-by: RTae <natthanan.bhu@doctorasa.co>
Co-authored-by: Marc Klingen <git@marcklingen.com>
2024-12-03 23:35:01 +01:00
jay0129andMarc Klingen 8727a52931 feat(auth): add GitHub Enterprise Authentication Provider (#4463)
feat: Add GitHub Enterprise Authentication Provider

Co-authored-by: Marc Klingen <git@marcklingen.com>
2024-12-03 23:34:31 +01:00
Marc Klingen ed5c076a5a fix(auth): add nonce check for Cognito NextAuth provider (#4401) 2024-12-03 23:34:15 +01:00
Marc Klingen db5c575ae0 chore: release v2.93.2
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2024-12-03 17:53:55 +01:00
Marc Klingen 2a0f482578 fix: remove LANGFUSE_CSP_DISABLE (did not work) and disable csp headers on HF Spaces (#4545) 2024-12-03 17:51:50 +01:00
Marc Klingen c041cf371a chore: release v2.93.1
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2024-12-03 01:25:53 +01:00
Marc Klingen c6daf09cd2 [cherry-pick][2.93.x] chore: add LANGFUSE_CSP_DISABLE to .env.prod.example (#4533) 2024-12-03 01:25:04 +01:00
Marc KlingenandGitHub 7296e2e012 [cherry-pick][2.93.x] feat: optionally disable csp headers via LANGFUSE_CSP_DISABLE=true (#4532) 2024-12-03 01:22:11 +01:00
steffen911 43bf176ef7 chore: release v2.93.0 2024-11-26 10:04:45 +01:00
Steffen SchmitzandGitHub 6b48d7771c build: adjust docker actions to handle v2 branch (#4416)
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2024-11-26 09:59:57 +01:00
Max DeichmannandGitHub cd0d39b3c2 fix: fix bullmq api (#4425) 2024-11-25 23:18:16 +00:00
Max DeichmannandGitHub 8fcbcdd29d fix: order datasets API correctly (#4423) 2024-11-25 22:09:49 +00:00
Max DeichmannandGitHub e24f65c51d feat: add all queues to get api for bullmq api (#4422) 2024-11-25 21:53:27 +00:00
Marc KlingenandGitHub 38e6464219 chore: improve logging of cloud metering queue (#4420) 2024-11-25 21:22:13 +00:00
Steffen SchmitzandGitHub 86f5c885a1 chore: skip string parsing for metadata string values (#4415) 2024-11-25 18:04:49 +01:00
Hassieb PakzadandGitHub c0ebd06c0c feat(evaluators): add updates (#4360) 2024-11-25 16:51:46 +01:00
Steffen SchmitzandGitHub 0ce5ddcd00 feat: add azure storage provider support (#4386) 2024-11-25 14:57:40 +00:00
Steffen SchmitzandGitHub 7539af3bd9 chore: overwrite numerical type for second filters on observations table (#4412) 2024-11-25 14:39:04 +00:00
Steffen SchmitzandGitHub 60f9147873 fix: use larger numeric type for latency filters (#4385) 2024-11-25 13:53:27 +00:00
Steffen SchmitzandGitHub a594c142e0 chore: use clickhouse in evaluations queues (#4319) 2024-11-25 13:42:17 +00:00
Max DeichmannandGitHub 18905a9872 feat: add all scores to run items UI (#4409) 2024-11-25 14:31:11 +01:00
Hassieb PakzadandGitHub 27f5dd837d chore(costs): add chatgpt-4o-latest prices (#4407) 2024-11-25 13:55:58 +01:00
Max DeichmannandGitHub a921f9db94 feat: exclude env defined operations from clickhouse (#4405) 2024-11-25 12:56:12 +01:00
Marc Klingen b3cd940c73 chore(ui): remove ph badge (#4403) 2024-11-25 10:41:33 +01:00
Max DeichmannandGitHub f91cf1ca65 feat: refactor clickhouse filter builder for SDK APIs (#4402) 2024-11-24 22:45:29 +00:00
Max DeichmannandGitHub c438e89bd0 feat: support scores list endpoint from clickhouse (#4400) 2024-11-24 21:08:44 +00:00
Max DeichmannandGitHub 9b1746b7ed feat: fetch observations via api from clickhouse (#4395) 2024-11-24 09:48:17 +00:00
Steffen SchmitzandGitHub 0611a72c40 fix: allow special characters in openai tokenization (#4396)
* fix: allow special characters in openai tokenization

* chore: update test
2024-11-24 05:26:45 +00:00
Max DeichmannandGitHub 0ba66526e9 fix: do not use memory tables in clickhouse (#4394) 2024-11-23 18:21:30 +01:00
Max DeichmannandGitHub 425202dd1e fix: correctly retrieve scores for datasets (#4387) 2024-11-22 17:20:48 +00:00
Hassieb PakzadandGitHub 882ad83aad chore: upgrade langfuse-langchain (#4384) 2024-11-22 12:12:00 +01:00
Max DeichmannandGitHub 9b12783d08 fix: fix dataset run table to show all scores (#4383) 2024-11-22 10:44:23 +00:00
Marc KlingenandGitHub c6817ae32f chore: add Product Hunt Launch note (#4364) 2024-11-22 08:50:23 +01:00
marliessophieandGitHub 42711a8cc9 fix: don't show error message to user if trace is not yet available for dataset (#4382) 2024-11-22 08:27:54 +01:00
Marc KlingenandGitHub 0344ab2cf9 fix: experimentation should not use structured output (#4379) 2024-11-22 04:57:47 +01:00
Marc KlingenandGitHub df0d12af43 chore: rename default experiment tag langfuse-prompt-experiment (#4378) 2024-11-22 01:01:40 +00:00
marliessophieandGitHub d058ba8861 docs: add link to experimentation docs (#4371) 2024-11-21 22:42:36 +00:00
marliessophieandGitHub d1309905d0 chore: create dataset run items in order of dataset items timestamp (#4370)
* chore: create dataset run items in order of dataset items timestamp
2024-11-21 22:36:47 +01:00
Max DeichmannandGitHub ca6ac3912f fix: fix dataset run item api to always return traceid (#4367) 2024-11-21 20:25:30 +00:00
Max DeichmannandGitHub 9eabc32681 fix: return i/o from single object APIs (#4368) 2024-11-21 20:14:21 +00:00
marliessophieandGitHub 8798e4a499 feat(experiments): trigger experiments via UI (#4333) 2024-11-21 20:00:07 +01:00
Max Deichmann ea8b2da37c chore: release v2.92.0
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2024-11-21 18:44:30 +01:00
Max DeichmannandGitHub b7f7d10fea fix: fix dataset item api for self-hosters (#4366) 2024-11-21 17:43:48 +00:00
Marc KlingenandGitHub 0279c0f48e docs: add notification for lw 2 - day 4 (#4362) 2024-11-21 17:16:58 +01:00
Max DeichmannandGitHub c29cf3855f feat: SDK API for observations by id (#4295) 2024-11-21 15:28:34 +00:00
Max DeichmannandGitHub c73901369c fix: fix cost filters for traces table (#4325) 2024-11-21 14:21:01 +00:00
Hassieb PakzadandGitHub 0e70f03fc3 fix(media): lookup env var by exact string (#4356) 2024-11-21 10:48:33 +01:00
Max DeichmannandGitHub 74d1f7f717 feat: fetch single trace via API from clickhouse (#4344) 2024-11-21 10:38:24 +01:00
Marc KlingenandGitHub dfcf67184d docs: add lw2-3 info for multi-modal (#4351) 2024-11-20 23:15:19 +01:00
Max DeichmannandGitHub ce641d1e2b fix: do not fail on invalid prompt templates for evals (#4349) 2024-11-20 19:45:12 +00:00
Max DeichmannandGitHub 166b84a81a fix: do not use temp tables for dataset runs (#4347)
fix
2024-11-20 17:56:55 +00:00
Max DeichmannandGitHub f4097a1ae5 fix: dataset item api fix for large dataset runs (#4313) 2024-11-20 16:33:51 +00:00
Max DeichmannandGitHub 8374e889cf security: upgrade cross-spawn (#4339) 2024-11-20 13:32:19 +00:00
Max DeichmannandGitHub 62deaf7e00 sec: upgrade sentry (#4338) 2024-11-20 13:10:54 +00:00
Max DeichmannandGitHub a4cd68b1ad security: upgrade json path (#4335) 2024-11-20 13:32:01 +01:00
marliessophieandGitHub dde28f21fa chore: don't create traces in evaluation service (#4334) 2024-11-20 13:18:56 +01:00
Hassieb PakzadandGitHub a4c040b314 feat(core): add server side tracing of LLM invocations (#4317) 2024-11-20 12:00:31 +01:00
Max DeichmannandGitHub 87995625ca fix: correct traces pagination (#4329) 2024-11-20 02:31:34 +01:00
Marc KlingenandGitHub e717854909 docs: add launch week day 2 note (#4328) 2024-11-20 00:20:47 +01:00
Max DeichmannandGitHub 9e37f2cb17 feat: add more bullmq helpers (#4324) 2024-11-19 21:51:51 +00:00
Max DeichmannandGitHub fc08db08f3 fix: fix bullmq retry (#4323) 2024-11-19 21:24:55 +01:00
Max DeichmannandGitHub 270bc793ba feat: add service endpoint for failed bull events (#4321) 2024-11-19 21:18:40 +01:00
Max DeichmannandGitHub ced2d339ee fix: increase dataset item delay (#4318) 2024-11-19 17:46:49 +01:00
178 changed files with 13206 additions and 6358 deletions
+92
View File
@@ -0,0 +1,92 @@
# When adding additional environment variables, the schema in "/src/env.mjs"
# should be updated accordingly.
# Prisma
# https://www.prisma.io/docs/reference/database-reference/connection-urls#env
DIRECT_URL="postgresql://postgres:postgres@localhost:5432/postgres"
DATABASE_URL="postgresql://postgres:postgres@localhost:5432/postgres"
# Clickhouse
CLICKHOUSE_MIGRATION_URL="clickhouse://localhost:9000"
CLICKHOUSE_URL="http://localhost:8123"
CLICKHOUSE_USER="clickhouse"
CLICKHOUSE_PASSWORD="clickhouse"
CLICKHOUSE_MIGRATION_CLUSTER_DISABLED="true"
# Next Auth
# You can generate a new secret on the command line with:
# openssl rand -base64 32
# https://next-auth.js.org/configuration/options#secret
# NEXTAUTH_SECRET=""
NEXTAUTH_URL="http://localhost:3000"
NEXTAUTH_SECRET="secret"
# Langfuse Cloud Environment
NEXT_PUBLIC_LANGFUSE_CLOUD_REGION="DEV"
# Langfuse experimental features
LANGFUSE_ENABLE_EXPERIMENTAL_FEATURES="true"
# Salt for API key hashing
SALT="salt"
# Email
EMAIL_FROM_ADDRESS="" # Defines the email address to use as the from address.
SMTP_CONNECTION_URL="" # Defines the connection url for smtp server.
# DON'T PANIC: The Azurite Secrets are well-known and meant to be hard-coded
# S3 storage
S3_ENDPOINT=http://localhost:10000/devstoreaccount1
S3_ACCESS_KEY_ID=devstoreaccount1
S3_SECRET_ACCESS_KEY=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==
S3_BUCKET_NAME=langfuse
S3_REGION=auto
## Necessary for minio compatibility
S3_FORCE_PATH_STYLE=true
# S3 Media Upload LOCAL
LANGFUSE_S3_MEDIA_UPLOAD_ENABLED=true
LANGFUSE_S3_MEDIA_UPLOAD_BUCKET=langfuse
LANGFUSE_S3_MEDIA_UPLOAD_ACCESS_KEY_ID=devstoreaccount1
LANGFUSE_S3_MEDIA_UPLOAD_SECRET_ACCESS_KEY=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==
LANGFUSE_S3_MEDIA_UPLOAD_REGION=auto
LANGFUSE_S3_MEDIA_UPLOAD_ENDPOINT=http://localhost:10000/devstoreaccount1
## Necessary for minio compatibility
LANGFUSE_S3_MEDIA_UPLOAD_FORCE_PATH_STYLE=true
LANGFUSE_S3_MEDIA_UPLOAD_PREFIX=media/
# S3 Event Bucket Upload
## Set to true to test uploading all events to S3
LANGFUSE_S3_EVENT_UPLOAD_ENABLED=true
LANGFUSE_S3_EVENT_UPLOAD_BUCKET=langfuse
LANGFUSE_S3_EVENT_UPLOAD_ACCESS_KEY_ID=devstoreaccount1
LANGFUSE_S3_EVENT_UPLOAD_SECRET_ACCESS_KEY=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==
LANGFUSE_S3_EVENT_UPLOAD_REGION=auto
LANGFUSE_S3_EVENT_UPLOAD_ENDPOINT=http://localhost:10000/devstoreaccount1
## Necessary for minio compatibility
LANGFUSE_S3_EVENT_UPLOAD_FORCE_PATH_STYLE=true
LANGFUSE_S3_EVENT_UPLOAD_PREFIX=events/
LANGFUSE_USE_AZURE_BLOB=true
# Set during docker build of application
# Used to disable environment verification at build time
# DOCKER_BUILD=1
REDIS_HOST="127.0.0.1"
REDIS_PORT=6379
REDIS_AUTH="myredissecret"
# openssl rand -hex 32 used only here
ENCRYPTION_KEY=0000000000000000000000000000000000000000000000000000000000000000
# speeds up local development by not executing init scripts on server startup
NEXT_PUBLIC_LANGFUSE_RUN_NEXT_INIT="false"
LANGFUSE_READ_FROM_POSTGRES_ONLY=false
LANGFUSE_RETURN_FROM_CLICKHOUSE=true
LANGFUSE_READ_DASHBOARDS_FROM_CLICKHOUSE=true
LANGFUSE_READ_FROM_CLICKHOUSE_ONLY=true
LANGFUSE_ASYNC_INGESTION_PROCESSING="true"
LANGFUSE_ASYNC_CLICKHOUSE_INGESTION_PROCESSING="true"
+5 -3
View File
@@ -11,7 +11,7 @@ CLICKHOUSE_MIGRATION_URL="clickhouse://localhost:9000"
CLICKHOUSE_URL="http://localhost:8123"
CLICKHOUSE_USER="clickhouse"
CLICKHOUSE_PASSWORD="clickhouse"
CLICKHOUSE_MIGRATION_CLUSTER_DISABLED="true"
CLICKHOUSE_CLUSTER_DISABLED="true"
# Next Auth
# You can generate a new secret on the command line with:
@@ -43,7 +43,7 @@ S3_REGION=us-east-1
## Necessary for minio compatibility
S3_FORCE_PATH_STYLE=true
# # S3 Media Upload LOCAL
# S3 Media Upload LOCAL
LANGFUSE_S3_MEDIA_UPLOAD_ENABLED=true
LANGFUSE_S3_MEDIA_UPLOAD_BUCKET=langfuse
LANGFUSE_S3_MEDIA_UPLOAD_ACCESS_KEY_ID=minio
@@ -80,8 +80,10 @@ ENCRYPTION_KEY=0000000000000000000000000000000000000000000000000000000000000000
# speeds up local development by not executing init scripts on server startup
NEXT_PUBLIC_LANGFUSE_RUN_NEXT_INIT="false"
LANGFUSE_READ_FROM_POSTGRES_ONLY=false
LANGFUSE_RETURN_FROM_CLICKHOUSE=true
LANGFUSE_READ_DASHBOARDS_FROM_CLICKHOUSE=true
LANGFUSE_READ_FROM_CLICKHOUSE_ONLY=true
LANGFUSE_ASYNC_INGESTION_PROCESSING="true"
LANGFUSE_ASYNC_CLICKHOUSE_INGESTION_PROCESSING="true"
+1 -1
View File
@@ -11,7 +11,7 @@ CLICKHOUSE_MIGRATION_URL="clickhouse://localhost:9000"
CLICKHOUSE_URL="http://localhost:8123"
CLICKHOUSE_USER="clickhouse"
CLICKHOUSE_PASSWORD="clickhouse"
CLICKHOUSE_MIGRATION_CLUSTER_DISABLED="true"
CLICKHOUSE_CLUSTER_ENABLED="false"
# Next Auth
# You can generate a new secret on the command line with:
+11 -1
View File
@@ -55,6 +55,7 @@ OTEL_SERVICE_NAME="langfuse"
# Auth, optional configuration
# AUTH_DOMAINS_WITH_SSO_ENFORCEMENT=domain1.com,domain2.com
# AUTH_IGNORE_ACCOUNT_FIELDS=foo,bar
# AUTH_DISABLE_USERNAME_PASSWORD=true
# AUTH_DISABLE_SIGNUP=true
# AUTH_SESSION_MAX_AGE=43200 # 30 days in minutes (default)
@@ -67,6 +68,10 @@ OTEL_SERVICE_NAME="langfuse"
# AUTH_GITHUB_CLIENT_ID=
# AUTH_GITHUB_CLIENT_SECRET=
# AUTH_GITHUB_ALLOW_ACCOUNT_LINKING=false
# AUTH_GITHUB_ENTERPRISE_CLIENT_ID=
# AUTH_GITHUB_ENTERPRISE_CLIENT_SECRET=
# AUTH_GITHUB_ENTERPRISE_BASE_URL=
# AUTH_GITHUB_ENTERPRISE_ALLOW_ACCOUNT_LINKING=false
# AUTH_GITLAB_CLIENT_ID=
# AUTH_GITLAB_CLIENT_SECRET=
# AUTH_GITLAB_ALLOW_ACCOUNT_LINKING=false
@@ -87,12 +92,17 @@ OTEL_SERVICE_NAME="langfuse"
# AUTH_COGNITO_CLIENT_SECRET=
# AUTH_COGNITO_ISSUER=
# AUTH_COGNITO_ALLOW_ACCOUNT_LINKING=false
# AUTH_KEYCLOAK_CLIENT_ID=
# AUTH_KEYCLOAK_CLIENT_SECRET=
# AUTH_KEYCLOAK_ISSUER=
# AUTH_KEYCLOAK_ALLOW_ACCOUNT_LINKING=false
# AUTH_CUSTOM_CLIENT_ID=
# AUTH_CUSTOM_CLIENT_SECRET=
# AUTH_CUSTOM_ISSUER=
# AUTH_CUSTOM_NAME=
# AUTH_CUSTOM_SCOPE="openid email profile" # optional
# AUTH_CUSTOM_ALLOW_ACCOUNT_LINKING=false
# AUTH_CUSTOM_ID_TOKEN=false # optional, default is true
# Transactional email, optional
# Defines the email address to use as the from address.
@@ -245,4 +255,4 @@ OTEL_SERVICE_NAME="langfuse"
# LANGFUSE_ASYNC_INGESTION_PROCESSING="true"
# QUEUE_CONSUMER_LEGACY_INGESTION_QUEUE_IS_ENABLED="true"
## END Langfuse V3 Ingestion
## END Langfuse V3 Ingestion
+7 -2
View File
@@ -3,9 +3,14 @@ name: Codespell
on:
push:
branches: [main]
branches:
- "main"
tags:
- "v*"
pull_request:
branches: [main]
branches:
- "**"
merge_group:
permissions:
contents: read
+38 -12
View File
@@ -82,7 +82,7 @@ jobs:
- uses: actions/checkout@v4
- name: Install golang-migrate for Clickhouse migrations
run: |
curl -L https://github.com/golang-migrate/migrate/releases/download/v4.16.2/migrate.linux-amd64.tar.gz | tar xvz
curl -L https://github.com/golang-migrate/migrate/releases/download/v4.18.2/migrate.linux-amd64.tar.gz | tar xvz
sudo mv migrate /usr/bin/migrate
which migrate
- uses: pnpm/action-setup@v3
@@ -137,11 +137,12 @@ jobs:
tests-web-async:
timeout-minutes: 20
runs-on: ubuntu-latest
name: tests-web-async (node${{ matrix.node-version }}, pg${{ matrix.postgres-version }})
name: tests-web-async (node${{ matrix.node-version }}, pg${{ matrix.postgres-version }}, mode${{ matrix.blob-provider }})
strategy:
matrix:
node-version: [20]
postgres-version: [12, 15]
blob-provider: ["", "-azure"]
steps:
- name: Set Swap Space
uses: pierotofy/set-swap-space@master
@@ -150,7 +151,7 @@ jobs:
- uses: actions/checkout@v4
- name: Install golang-migrate for Clickhouse migrations
run: |
curl -L https://github.com/golang-migrate/migrate/releases/download/v4.16.2/migrate.linux-amd64.tar.gz | tar xvz
curl -L https://github.com/golang-migrate/migrate/releases/download/v4.18.2/migrate.linux-amd64.tar.gz | tar xvz
sudo mv migrate /usr/bin/migrate
which migrate
- uses: pnpm/action-setup@v3
@@ -172,11 +173,11 @@ jobs:
pnpm install
- name: Load default env
run: |
cp .env.dev.example .env
grep -v -e '^S3_BUCKET_NAME=' -e '^REDIS_HOST=' -e '^NEXT_PUBLIC_LANGFUSE_RUN_NEXT_INIT=' .env.dev.example > .env
cp .env.dev${{ matrix.blob-provider }}.example .env
grep -v -e '^S3_BUCKET_NAME=' -e '^REDIS_HOST=' -e '^NEXT_PUBLIC_LANGFUSE_RUN_NEXT_INIT=' .env.dev${{ matrix.blob-provider }}.example > .env
- name: Run + migrate
run: |
docker compose -f docker-compose.dev.yml up -d
docker compose -f docker-compose.dev${{ matrix.blob-provider }}.yml up -d
sleep 5 # Wait for PostgreSQL to accept connections
docker compose ps
env:
@@ -205,11 +206,12 @@ jobs:
tests-worker:
timeout-minutes: 20
runs-on: ubuntu-latest
name: tests-worker (node${{ matrix.node-version }}, pg${{ matrix.postgres-version }})
name: tests-worker (node${{ matrix.node-version }}, pg${{ matrix.postgres-version }}, mode${{ matrix.blob-provider }})
strategy:
matrix:
node-version: [20]
postgres-version: [12, 15]
blob-provider: ["", "-azure"]
steps:
- name: Set Swap Space
uses: pierotofy/set-swap-space@master
@@ -235,17 +237,17 @@ jobs:
pnpm install
- name: Install golang-migrate for Clickhouse migrations
run: |
curl -L https://github.com/golang-migrate/migrate/releases/download/v4.16.2/migrate.linux-amd64.tar.gz | tar xvz
curl -L https://github.com/golang-migrate/migrate/releases/download/v4.18.2/migrate.linux-amd64.tar.gz | tar xvz
sudo mv migrate /usr/bin/migrate
which migrate
- name: Load default env
run: |
cp .env.dev.example .env
cp .env.dev.example web/.env
cp .env.dev.example worker/.env
cp .env.dev${{ matrix.blob-provider }}.example .env
cp .env.dev${{ matrix.blob-provider }}.example web/.env
cp .env.dev${{ matrix.blob-provider }}.example worker/.env
- name: Run + migrate
run: |
docker compose -f docker-compose.dev.yml up -d
docker compose -f docker-compose.dev${{ matrix.blob-provider }}.yml up -d
sleep 5 # Wait for PostgreSQL to accept connections
docker compose ps
- name: Ensure no unhealthy status
@@ -326,9 +328,15 @@ jobs:
- name: install dependencies
run: |
pnpm install
- name: Install golang-migrate for Clickhouse migrations
run: |
curl -L https://github.com/golang-migrate/migrate/releases/download/v4.18.2/migrate.linux-amd64.tar.gz | tar xvz
sudo mv migrate /usr/bin/migrate
which migrate
- name: Load default env
run: |
cp .env.dev.example .env
echo "LANGFUSE_ASYNC_CLICKHOUSE_INGESTION_PROCESSING=true" >> .env
echo "LANGFUSE_ASYNC_INGESTION_PROCESSING=true" >> .env
echo "LANGFUSE_CACHE_API_KEY_ENABLED=true" >> .env
echo "LANGFUSE_CACHE_PROMPT_ENABLED=true" >> .env
@@ -337,14 +345,29 @@ jobs:
docker compose -f docker-compose.dev.yml up -d
docker compose ps
sleep 5 # Wait for PostgreSQL to accept connections
- name: Ensure Docker dependencies are healthy
run: |
if docker-compose ps | grep "(unhealthy)"; then
echo "One or more services are unhealthy"
exit 1
else
echo "All services are healthy"
fi
- name: Seed DB
run: |
pnpm run db:migrate
pnpm --filter=shared run ch:up
pnpm run db:seed:examples
- name: Build
run: pnpm run build
- name: Run server
run: (pnpm run start&)
- name: Check worker health
run: |
timeout 10 bash -c 'until curl -f http://localhost:3030/api/health; do sleep 2; done'
- name: Check server health
run: |
timeout 10 bash -c 'until curl -f http://localhost:3000/api/public/health; do sleep 2; done'
- name: Run e2e tests
run: pnpm --filter=web run test:e2e:server
@@ -418,6 +441,8 @@ jobs:
images: |
ghcr.io/langfuse/langfuse # GitHub
langfuse/langfuse # Docker Hub
flavor: |
latest=false
tags: |
type=ref,event=branch
type=ref,event=pr
@@ -425,6 +450,7 @@ jobs:
type=semver,pattern={{version}}
type=semver,pattern={{major}}.{{minor}}
type=semver,pattern={{major}}
type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/v3') }}
- name: Build and push Docker image (web)
uses: docker/build-push-action@v4
with:
+1 -1
View File
@@ -3,7 +3,7 @@ on:
push:
# Pattern matched against refs/tags
tags:
- "v[0-9]+.[0-9]+.[0-9]+" # Semantic version tags
- "v3.[0-9]+.[0-9]+" # Semantic version tags
jobs:
release:
+1
View File
@@ -37,6 +37,7 @@ yarn-error.log*
# do not commit any .env files to git, except for the .env.example file. https://create.t3.gg/en/usage/env-variables#using-environment-variables
.env*
!.env.dev.example
!.env.dev-azure.example
!.env.local.example
!.env.prod.example
!.env.dev.legacy.example
+63
View File
@@ -0,0 +1,63 @@
services:
clickhouse:
image: clickhouse/clickhouse-server
user: "101:101"
container_name: clickhouse
hostname: clickhouse
environment:
CLICKHOUSE_DB: default
CLICKHOUSE_USER: clickhouse
CLICKHOUSE_PASSWORD: clickhouse
volumes:
- langfuse_clickhouse_data:/var/lib/clickhouse
- langfuse_clickhouse_logs:/var/log/clickhouse-server
ports:
- "8123:8123"
- "9000:9000"
depends_on:
- postgres
azurite:
image: mcr.microsoft.com/azure-storage/azurite
container_name: azurite
command: azurite-blob --blobHost 0.0.0.0
ports:
- "10000:10000"
volumes:
- langfuse_azurite_data:/data
redis:
image: redis:7.2.4
restart: always
command: >
--requirepass ${REDIS_AUTH:-myredissecret}
ports:
- 6379:6379
postgres:
image: postgres:${POSTGRES_VERSION:-latest}
restart: always
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 3s
timeout: 3s
retries: 10
command: ["postgres", "-c", "log_statement=all"]
environment:
- POSTGRES_USER=postgres
- POSTGRES_PASSWORD=postgres
- POSTGRES_DB=postgres
ports:
- 5432:5432
volumes:
- langfuse_postgres_data:/var/lib/postgresql/data
volumes:
langfuse_postgres_data:
driver: local
langfuse_clickhouse_data:
driver: local
langfuse_clickhouse_logs:
driver: local
langfuse_azurite_data:
driver: local
+1 -1
View File
@@ -25,7 +25,7 @@ services:
CLICKHOUSE_URL: ${CLICKHOUSE_URL:-http://clickhouse:8123}
CLICKHOUSE_USER: ${CLICKHOUSE_USER:-clickhouse}
CLICKHOUSE_PASSWORD: ${CLICKHOUSE_PASSWORD:-clickhouse}
CLICKHOUSE_MIGRATION_CLUSTER_DISABLED: ${CLICKHOUSE_MIGRATION_CLUSTER_DISABLED:-true}
CLICKHOUSE_CLUSTER_ENABLED: ${CLICKHOUSE_CLUSTER_ENABLED:-false}
LANGFUSE_S3_EVENT_UPLOAD_ENABLED: ${LANGFUSE_S3_EVENT_UPLOAD_ENABLED:-true}
LANGFUSE_S3_EVENT_UPLOAD_BUCKET: ${LANGFUSE_S3_EVENT_UPLOAD_BUCKET:-langfuse}
LANGFUSE_S3_EVENT_UPLOAD_REGION: ${LANGFUSE_S3_EVENT_UPLOAD_REGION:-us-east-1}
+4 -3
View File
@@ -27,8 +27,9 @@
"@langfuse/shared": "workspace:*",
"@opentelemetry/api": ">=1.0.0 <1.10.0",
"axios": "^1.7.7",
"next": "^14.2.15",
"next-auth": "^4.24.7",
"https-proxy-agent": "^7.0.6",
"next": "^14.2.21",
"next-auth": "^4.24.11",
"zod": "^3.23.8"
},
"devDependencies": {
@@ -47,7 +48,7 @@
},
"pnpm": {
"overrides": {
"jsonpath-plus": "10.0.0"
"jsonpath-plus": "10.2.0"
}
}
}
+7 -2
View File
@@ -1,6 +1,6 @@
{
"name": "langfuse",
"version": "2.91.0",
"version": "2.95.1",
"author": "engineering@langfuse.com",
"license": "MIT",
"private": true,
@@ -83,7 +83,12 @@
},
"pnpm": {
"overrides": {
"jsonpath-plus": "10.0.0"
"jsonpath-plus": "10.2.0",
"nanoid": "^3.3.8",
"katex": "^0.16.21"
},
"patchedDependencies": {
"next-auth@4.24.11": "patches/next-auth@4.24.11.patch"
}
},
"packageManager": "pnpm@9.5.0"
+1 -1
View File
@@ -19,7 +19,7 @@ then
fi
# Construct the database URL
if [ "$CLICKHOUSE_MIGRATION_CLUSTER_DISABLED" != "true" ] ; then
if [ "$CLICKHOUSE_CLUSTER_ENABLED" == "true" ] ; then
if [ "$CLICKHOUSE_MIGRATION_SSL" = true ] ; then
DATABASE_URL="${CLICKHOUSE_MIGRATION_URL}?username=${CLICKHOUSE_USER}&password=${CLICKHOUSE_PASSWORD}&database=default&x-multi-statement=true&secure=true&skip_verify=true&x-cluster-name=default&x-migrations-table-engine=ReplicatedMergeTree"
else
+1 -1
View File
@@ -65,7 +65,7 @@ async function main() {
} catch (error) {
console.error("Error during Clickhouse preparation:", error);
} finally {
await clickhouseClient.close();
await clickhouseClient().close();
await prisma.$disconnect();
redis?.disconnect();
console.log("Disconnected from Clickhouse.");
+1 -1
View File
@@ -19,7 +19,7 @@ then
fi
# Construct the database URL
if [ "$CLICKHOUSE_MIGRATION_CLUSTER_DISABLED" != "true" ] ; then
if [ "$CLICKHOUSE_CLUSTER_ENABLED" == "true" ] ; then
if [ "$CLICKHOUSE_MIGRATION_SSL" = true ] ; then
DATABASE_URL="${CLICKHOUSE_MIGRATION_URL}?username=${CLICKHOUSE_USER}&password=${CLICKHOUSE_PASSWORD}&database=default&x-multi-statement=true&secure=true&skip_verify=true&x-cluster-name=default&x-migrations-table-engine=ReplicatedMergeTree"
else
+10 -7
View File
@@ -59,11 +59,12 @@
"@aws-sdk/client-s3": "^3.675.0",
"@aws-sdk/lib-storage": "^3.675.0",
"@aws-sdk/s3-request-presigner": "^3.679.0",
"@azure/storage-blob": "^12.26.0",
"@clickhouse/client": "^1.4.0",
"@langchain/anthropic": "^0.3.1",
"@langchain/aws": "^0.1.0",
"@langchain/core": "^0.3.9",
"@langchain/openai": "^0.3.0",
"@langchain/anthropic": "^0.3.8",
"@langchain/aws": "^0.1.2",
"@langchain/core": "^0.3.18",
"@langchain/openai": "^0.3.14",
"@opentelemetry/api": ">=1.0.0 <1.10.0",
"@prisma/client": "^5.22.0",
"@react-email/components": "^0.0.19",
@@ -75,11 +76,13 @@
"dd-trace": "^5.23.1",
"decimal.js": "^10.4.3",
"exponential-backoff": "^3.1.1",
"https-proxy-agent": "^7.0.6",
"ioredis": "^5.4.1",
"kysely": "^0.27.4",
"langchain": "^0.3.2",
"langchain": "^0.3.6",
"langfuse-langchain": "3.30.3",
"lodash": "^4.17.21",
"next-auth": "^4.24.7",
"next-auth": "^4.24.11",
"nodemailer": "^6.9.15",
"prisma-extension-kysely": "^2.1.0",
"uuid": "^9.0.1",
@@ -118,7 +121,7 @@
},
"pnpm": {
"overrides": {
"jsonpath-plus": "10.0.0"
"jsonpath-plus": "10.0.7"
}
}
}
@@ -0,0 +1,25 @@
INSERT INTO models (
id,
project_id,
model_name,
match_pattern,
start_date,
input_price,
output_price,
total_price,
unit,
tokenizer_id,
tokenizer_config
)
VALUES
('cm3x0p8ev000008kyd96800c8', NULL, 'chatgpt-4o-latest', '(?i)^(chatgpt-4o-latest)$', NULL, 0.000005, 0.000015, NULL, 'TOKENS', 'openai', '{ "tokensPerMessage": 3, "tokensPerName": 1, "tokenizerModel": "gpt-4o" }');
INSERT INTO prices (
id,
model_id,
usage_type,
price
)
VALUES
('cm3x0psrz000108kydpxg9o2k', 'cm3x0p8ev000008kyd96800c8', 'input', 0.000005),
('cm3x0pyt7000208ky8737gdla', 'cm3x0p8ev000008kyd96800c8', 'output', 0.000015);
+1 -1
View File
@@ -124,7 +124,7 @@ async function main() {
} catch (error) {
logger.error("Error during Clickhouse preparation:", error);
} finally {
await clickhouseClient.close();
await clickhouseClient().close();
await prisma.$disconnect();
redis?.disconnect();
logger.info("Disconnected from Clickhouse.");
+4 -4
View File
@@ -160,7 +160,7 @@ export const prepareClickhouse = async (
for (const query of queries) {
logger.info(`Executing query: ${query}`);
await clickhouseClient.command({
await clickhouseClient().command({
query,
clickhouse_settings: {
wait_end_of_query: 1,
@@ -174,7 +174,7 @@ export const prepareClickhouse = async (
FROM traces
WHERE session_id IS NOT NULL;
`;
const sessionResult = await clickhouseClient.query({
const sessionResult = await clickhouseClient().query({
query: sessionQuery,
format: "JSONEachRow",
});
@@ -212,7 +212,7 @@ export const prepareClickhouse = async (
ORDER BY count() desc
`;
const result = await clickhouseClient.query({
const result = await clickhouseClient().query({
query,
format: "TabSeparated",
});
@@ -243,7 +243,7 @@ export const prepareClickhouse = async (
ORDER BY event_date desc
`;
const result = await clickhouseClient.query({
const result = await clickhouseClient().query({
query,
format: "TabSeparated",
});
+13 -1
View File
@@ -22,7 +22,7 @@ const EnvSchema = z.object({
.string()
.length(
64,
"ENCRYPTION_KEY must be 256 bits, 64 string characters in hex format, generate via: openssl rand -hex 32"
"ENCRYPTION_KEY must be 256 bits, 64 string characters in hex format, generate via: openssl rand -hex 32",
)
.optional(),
LANGFUSE_CACHE_PROMPT_ENABLED: z.enum(["true", "false"]).default("false"),
@@ -30,6 +30,16 @@ const EnvSchema = z.object({
CLICKHOUSE_URL: z.string().url().optional(),
CLICKHOUSE_USER: z.string().optional(),
CLICKHOUSE_PASSWORD: z.string().optional(),
LANGFUSE_ASYNC_CLICKHOUSE_INGESTION_PROCESSING: z
.enum(["true", "false"])
.default("false"),
LANGFUSE_ASYNC_INGESTION_PROCESSING: z
.enum(["true", "false"])
.default("false"),
LANGFUSE_INGESTION_QUEUE_DELAY_MS: z.coerce
.number()
.nonnegative()
.default(15_000),
SALT: z.string().optional(), // used by components imported by web package
LANGFUSE_LOG_LEVEL: z
.enum(["trace", "debug", "info", "warn", "error", "fatal"])
@@ -48,6 +58,8 @@ const EnvSchema = z.object({
LANGFUSE_S3_EVENT_UPLOAD_FORCE_PATH_STYLE: z
.enum(["true", "false"])
.default("false"),
LANGFUSE_USE_AZURE_BLOB: z.enum(["true", "false"]).default("false"),
STRIPE_SECRET_KEY: z.string().optional(),
});
export const env = EnvSchema.parse(removeEmptyEnvVariables(process.env));
+1
View File
@@ -11,6 +11,7 @@ export * from "./server/auth/apiKeys";
export * from "./observationsTable";
export * from "./utils/zod";
export * from "./utils/json";
export * from "./utils/stringChecks";
export * from "./utils/objects";
export * from "./utils/typeChecks";
export * from "./features/entitlements/plans";
@@ -17,7 +17,6 @@ export function CustomSSOProvider<P extends CustomSSOUser>(
wellKnown: `${options.issuer}/.well-known/openid-configuration`,
authorization: { params: { scope: "openid email profile" } }, // overridden by options.authorization to be able to set custom scopes, deep merged with this default
checks: ["pkce", "state"],
idToken: true,
profile(profile) {
return {
id: profile.sub,
@@ -0,0 +1,65 @@
import type { OAuthConfig, OAuthUserConfig } from "next-auth/providers/oauth";
import type { GithubProfile, GithubEmail } from "next-auth/providers/github";
export function GitHubEnterpriseProvider<P extends GithubProfile>(
options: OAuthUserConfig<P> & {
enterprise?: {
baseUrl?: string;
};
}
): OAuthConfig<P> {
const baseUrl = options?.enterprise?.baseUrl ?? "https://github.com"
const apiBaseUrl = options?.enterprise?.baseUrl
? `${options?.enterprise?.baseUrl}/api/v3`
: "https://api.github.com"
return {
id: "github-enterprise",
name: "GitHub Enterprise",
type: "oauth",
authorization: {
url: `${baseUrl}/login/oauth/authorize`,
params: { scope: "read:user user:email" },
},
token: `${baseUrl}/login/oauth/access_token`,
userinfo: {
url: `${apiBaseUrl}/user`,
async request({ client, tokens }) {
const profile = await client.userinfo(tokens.access_token!)
if (!profile.email) {
// If the user does not have a public email, get another via the GitHub API
// See https://docs.github.com/en/rest/users/emails#list-email-addresses-for-the-authenticated-user
const res = await fetch(`${apiBaseUrl}/user/emails`, {
headers: { Authorization: `token ${tokens.access_token}` },
})
if (res.ok) {
const emails: GithubEmail[] = await res.json()
profile.email = (emails.find((e) => e.primary) ?? emails[0]).email
}
}
return profile
},
},
profile(profile) {
return {
id: profile.id.toString(),
name: profile.name ?? profile.login,
email: profile.email,
image: profile.avatar_url,
}
},
style: {
logo: "https://raw.githubusercontent.com/nextauthjs/next-auth/main/packages/next-auth/provider-logos/github.svg",
logoDark:
"https://raw.githubusercontent.com/nextauthjs/next-auth/main/packages/next-auth/provider-logos/github-dark.svg",
bg: "#fff",
bgDark: "#000",
text: "#000",
textDark: "#fff",
},
options,
}
}
+14 -10
View File
@@ -1,19 +1,23 @@
import { createClient } from "@clickhouse/client";
import { env } from "../../env";
import { NodeClickHouseClientConfigOptions } from "@clickhouse/client/dist/config";
export type ClickhouseClientType = ReturnType<typeof createClient>;
export const clickhouseClient = createClient({
url: env.CLICKHOUSE_URL,
username: env.CLICKHOUSE_USER,
password: env.CLICKHOUSE_PASSWORD,
database: "default",
clickhouse_settings: {
async_insert: 1,
wait_for_async_insert: 1, // if disabled, we won't get errors from clickhouse
},
});
export const clickhouseClient = (opts?: NodeClickHouseClientConfigOptions) =>
createClient({
...opts,
url: env.CLICKHOUSE_URL,
username: env.CLICKHOUSE_USER,
password: env.CLICKHOUSE_PASSWORD,
database: "default",
clickhouse_settings: {
async_insert: 1,
wait_for_async_insert: 1, // if disabled, we won't get errors from clickhouse
},
});
export const defaultClickhouseClient = clickhouseClient();
/**
* Accepts a JavaScript date and returns the DateTime in format YYYY-MM-DD HH:MM:SS
*/
+8 -1
View File
@@ -1,10 +1,12 @@
export * from "./services/S3StorageService";
export * from "./services/StorageService";
export * from "./services/email/organizationInvitation/sendMembershipInvitationEmail";
export * from "./services/email/batchExportSuccess/sendBatchExportSuccessEmail";
export * from "./services/email/passwordReset/sendResetPasswordVerificationRequest";
export * from "./services/PromptService";
export * from "./services/traces-ui-table-service";
export * from "./auth/apiKeys";
export * from "./auth/customSsoProvider";
export * from "./auth/gitHubEnterpriseProvider";
export * from "./llm/fetchLLMCompletion";
export * from "./llm/types";
export * from "./utils/DatabaseReadStream";
@@ -15,14 +17,18 @@ export * from "./clickhouse/schema";
export * from "./repositories/definitions";
export * from "../server/ingestion/types";
export * from "./ingestion/modelMatch";
export * from "./ingestion/processEventBatch";
export * from "../server/ingestion/types";
export * from "../server/ingestion/validateAndInflateScore";
export * from "./redis/redis";
export * from "./redis/traceUpsert";
export * from "./redis/CloudUsageMeteringQueue";
export * from "./redis/getQueue";
export * from "./redis/datasetRunItemUpsert";
export * from "./redis/batchExport";
export * from "./redis/legacyIngestion";
export * from "./redis/ingestionQueue";
export * from "./redis/experimentCreateQueue";
export * from "./auth/types";
export * from "./ingestion/legacy/index";
export * from "./queues";
@@ -33,3 +39,4 @@ export * from "./instrumentation";
export * from "./logger";
export * from "./queries";
export * from "./repositories";
export * from "./redis/evalExecutionQueue";
@@ -3,13 +3,7 @@ import z from "zod";
import { ForbiddenError, UnauthorizedError } from "../../../errors";
import { eventTypes, ingestionApiSchema, IngestionEventType } from "../types";
import { getProcessorForEvent } from "./EventProcessor";
import { TraceUpsertEventType } from "../../queues";
import {
convertTraceUpsertEventsToRedisEvents,
TraceUpsertQueue,
} from "../../redis/traceUpsert";
import { ApiAccessScope } from "../../auth/types";
import { redis } from "../../redis/redis";
import { backOff } from "exponential-backoff";
import { Model } from "../../..";
import { logger } from "../../logger";
@@ -163,45 +157,5 @@ export function cleanEvent(obj: unknown): unknown {
}
}
export const isNotNullOrUndefined = <T>(
val?: T | null,
): val is Exclude<T, null | undefined> => !isUndefinedOrNull(val);
export const isUndefinedOrNull = <T>(val?: T | null): val is undefined | null =>
val === undefined || val === null;
export const addTracesToTraceUpsertQueue = async (
batchResults: BatchResult[],
projectId: string,
): Promise<void> => {
const traceEvents: TraceUpsertEventType[] = batchResults
.filter((result) => result.type === eventTypes.TRACE_CREATE) // we only have create, no update.
.map((result) =>
result.result &&
typeof result.result === "object" &&
"id" in result.result
? // ingestion API only gets traces for one projectId
{
traceId: result.result.id as string,
projectId,
}
: null,
)
.filter(isNotNullOrUndefined);
try {
if (env.NEXT_PUBLIC_LANGFUSE_CLOUD_REGION && redis) {
logger.debug(`Sending ${traceEvents.length} events to worker via Redis`);
const queue = TraceUpsertQueue.getInstance();
if (!queue) {
logger.error("TraceUpsertQueue not initialized");
return;
}
await queue.addBulk(convertTraceUpsertEventsToRedisEvents(traceEvents));
}
} catch (error) {
logger.error("Error sending events to worker", error);
}
};
@@ -0,0 +1,396 @@
import { randomUUID } from "crypto";
import { z } from "zod";
import { type Model } from "../../db";
import { env } from "../../env";
import {
InvalidRequestError,
LangfuseNotFoundError,
UnauthorizedError,
} from "../../errors";
import { AuthHeaderValidVerificationResult } from "../auth/types";
import { getClickhouseEntityType } from "../clickhouse/schemaUtils";
import {
getCurrentSpan,
instrumentAsync,
instrumentSync,
recordIncrement,
traceException,
} from "../instrumentation";
import { logger } from "../logger";
import { LegacyIngestionEventType, QueueJobs } from "../queues";
import { IngestionQueue } from "../redis/ingestionQueue";
import { LegacyIngestionQueue } from "../redis/legacyIngestion";
import { redis } from "../redis/redis";
import { handleBatch } from "./legacy";
import {
StorageService,
StorageServiceFactory,
} from "../services/StorageService";
import { getProcessorForEvent } from "./legacy/EventProcessor";
import { eventTypes, ingestionEvent, IngestionEventType } from "./types";
export type TokenCountDelegate = (p: {
model: Model;
text: unknown;
}) => number | undefined;
let s3StorageServiceClient: StorageService;
const getS3StorageServiceClient = (bucketName: string): StorageService => {
if (!s3StorageServiceClient) {
s3StorageServiceClient = StorageServiceFactory.getInstance({
bucketName,
accessKeyId: env.LANGFUSE_S3_EVENT_UPLOAD_ACCESS_KEY_ID,
secretAccessKey: env.LANGFUSE_S3_EVENT_UPLOAD_SECRET_ACCESS_KEY,
endpoint: env.LANGFUSE_S3_EVENT_UPLOAD_ENDPOINT,
region: env.LANGFUSE_S3_EVENT_UPLOAD_REGION,
forcePathStyle: env.LANGFUSE_S3_EVENT_UPLOAD_FORCE_PATH_STYLE === "true",
});
}
return s3StorageServiceClient;
};
export const processEventBatch = async (
input: unknown[],
authCheck: AuthHeaderValidVerificationResult,
tokenCountDelegate: TokenCountDelegate,
): Promise<{
successes: { id: string; status: number }[];
errors: {
id: string;
status: number;
message?: string;
error?: string;
}[];
}> => {
// add context of api call to the span
const currentSpan = getCurrentSpan();
recordIncrement("langfuse.ingestion.event", input.length);
currentSpan?.setAttribute("event_count", input.length);
/**************
* VALIDATION *
**************/
const validationErrors: { id: string; error: unknown }[] = [];
const authenticationErrors: { id: string; error: unknown }[] = [];
const batch: z.infer<typeof ingestionEvent>[] = input
.flatMap((event) => {
const parsed = instrumentSync(
{ name: "ingestion-zod-parse-individual-event" },
(span) => {
const parsedBody = ingestionEvent.safeParse(event);
if (parsedBody.data?.id !== undefined) {
span.setAttribute("object.id", parsedBody.data.id);
}
return parsedBody;
},
);
if (!parsed.success) {
validationErrors.push({
id:
typeof event === "object" && event && "id" in event
? typeof event.id === "string"
? event.id
: "unknown"
: "unknown",
error: new InvalidRequestError(parsed.error.message),
});
return [];
}
if (!isAuthorized(parsed.data, authCheck, tokenCountDelegate)) {
authenticationErrors.push({
id: parsed.data.id,
error: new UnauthorizedError("Access Scope Denied"),
});
return [];
}
return [parsed.data];
})
.flatMap((event) => {
if (event.type === eventTypes.SDK_LOG) {
// Log SDK_LOG events, but remove them from further processing
logger.info("SDK Log Event", { event });
return [];
}
return [event];
});
const sortedBatch = sortBatch(batch);
// We group events by eventBodyId which allows us to store and process them
// as one which reduces infra interactions per event. Only used in the S3 case.
const sortedBatchByEventBodyId = sortedBatch.reduce(
(
acc: Record<
string,
{
data: IngestionEventType[];
key: string;
eventBodyId: string;
type: (typeof eventTypes)[keyof typeof eventTypes];
}
>,
event,
) => {
if (!event.body?.id) {
return acc;
}
const key = `${getClickhouseEntityType(event.type)}-${event.body.id}`;
if (!acc[key]) {
acc[key] = {
data: [],
key: event.id,
type: event.type,
eventBodyId: event.body.id,
};
}
acc[key].data.push(event);
return acc;
},
{},
);
/********************
* ASYNC PROCESSING *
********************/
let s3UploadErrored = false;
if (env.LANGFUSE_S3_EVENT_UPLOAD_ENABLED === "true") {
await instrumentAsync({ name: "s3-upload-events" }, async () => {
if (env.LANGFUSE_S3_EVENT_UPLOAD_BUCKET === undefined) {
throw new Error("S3 event store is enabled but no bucket is set");
}
const s3Client = getS3StorageServiceClient(
env.LANGFUSE_S3_EVENT_UPLOAD_BUCKET,
);
// S3 Event Upload is currently blocking, but non-failing.
// If a promise rejects, we log it below, but do not throw an error.
// In this case, we upload the full batch into the Redis queue.
const results = await Promise.allSettled(
Object.keys(sortedBatchByEventBodyId).map(async (id) => {
// We upload the event in an array to the S3 bucket grouped by the eventBodyId.
// That way we batch updates from the same invocation into a single file and reduce
// write operations on S3.
const { data, key, type, eventBodyId } = sortedBatchByEventBodyId[id];
return s3Client.uploadJson(
`${env.LANGFUSE_S3_EVENT_UPLOAD_PREFIX}${authCheck.scope.projectId}/${getClickhouseEntityType(type)}/${eventBodyId}/${key}.json`,
data,
);
}),
);
results.forEach((result) => {
if (result.status === "rejected") {
s3UploadErrored = true;
logger.error("Failed to upload event to S3", {
error: result.reason,
});
}
});
});
}
// Send each event individually to IngestionQueue for new processing
if (
env.LANGFUSE_ASYNC_INGESTION_PROCESSING === "true" &&
env.LANGFUSE_S3_EVENT_UPLOAD_ENABLED === "true" &&
env.LANGFUSE_ASYNC_CLICKHOUSE_INGESTION_PROCESSING === "true" &&
redis &&
!s3UploadErrored
) {
const queue = IngestionQueue.getInstance();
const results = await Promise.allSettled(
Object.keys(sortedBatchByEventBodyId).map(async (id) =>
queue
? queue.add(
QueueJobs.IngestionJob,
{
id: randomUUID(),
timestamp: new Date(),
name: QueueJobs.IngestionJob as const,
payload: {
data: {
type: sortedBatchByEventBodyId[id].type,
eventBodyId: sortedBatchByEventBodyId[id].eventBodyId,
},
authCheck,
},
},
{
delay: env.LANGFUSE_INGESTION_QUEUE_DELAY_MS,
},
)
: Promise.reject("Failed to instantiate queue"),
),
);
results.forEach((result) => {
if (result.status === "rejected") {
logger.error("Failed to add event to IngestionQueue", {
error: result.reason,
});
}
});
}
// As part of the legacy processing we sent the entire batch to the worker.
if (env.LANGFUSE_ASYNC_INGESTION_PROCESSING === "true" && redis) {
const queue = LegacyIngestionQueue.getInstance();
if (queue) {
let addToQueueFailed = false;
const queuePayload: LegacyIngestionEventType =
env.LANGFUSE_S3_EVENT_UPLOAD_ENABLED === "true" && !s3UploadErrored
? {
data: Object.keys(sortedBatchByEventBodyId).map((id) => {
const { key, type, eventBodyId } = sortedBatchByEventBodyId[id];
return {
type,
eventBodyId,
eventId: key,
};
}),
authCheck,
useS3EventStore: true,
}
: { data: sortedBatch, authCheck, useS3EventStore: false };
try {
await queue.add(QueueJobs.LegacyIngestionJob, {
payload: queuePayload,
id: randomUUID(),
timestamp: new Date(),
name: QueueJobs.LegacyIngestionJob as const,
});
} catch (e: unknown) {
logger.warn(
"Failed to add batch to queue, falling back to sync processing",
e,
);
addToQueueFailed = true;
}
if (!addToQueueFailed) {
return aggregateBatchResult(
// we are not sending additional server errors to the client in case of early return
[...validationErrors, ...authenticationErrors],
sortedBatch.map((event) => ({ id: event.id, result: event })),
);
}
} else {
logger.error(
"Ingestion queue not initialized, falling back to sync processing",
);
}
}
/*******************
* SYNC PROCESSING *
*******************/
const result = await handleBatch(sortedBatch, authCheck, tokenCountDelegate);
// in case we did not return early, we return the result here
return aggregateBatchResult(
[...validationErrors, ...authenticationErrors, ...result.errors],
result.results,
);
};
const isAuthorized = (
event: IngestionEventType,
authScope: AuthHeaderValidVerificationResult,
tokenCountDelegate: TokenCountDelegate,
): boolean => {
try {
getProcessorForEvent(event, tokenCountDelegate).auth(authScope.scope);
return true;
} catch (error) {
return false;
}
};
/**
* Sorts a batch of ingestion events. Orders by: updating events last, sorted by timestamp asc.
*/
const sortBatch = (batch: Array<z.infer<typeof ingestionEvent>>) => {
const updateEvents: (typeof eventTypes)[keyof typeof eventTypes][] = [
eventTypes.GENERATION_UPDATE,
eventTypes.SPAN_UPDATE,
eventTypes.OBSERVATION_UPDATE, // legacy event type
];
const updates = batch
.filter((event) => updateEvents.includes(event.type))
.sort((a, b) => {
return new Date(a.timestamp).getTime() - new Date(b.timestamp).getTime();
});
const others = batch
.filter((event) => !updateEvents.includes(event.type))
.sort((a, b) => {
return new Date(a.timestamp).getTime() - new Date(b.timestamp).getTime();
});
// Return the array with non-update events first, followed by update events
return [...others, ...updates];
};
export const aggregateBatchResult = (
errors: Array<{ id: string; error: unknown }>,
results: Array<{ id: string; result: unknown }>,
) => {
const returnedErrors: {
id: string;
status: number;
message?: string;
error?: string;
}[] = [];
const successes: {
id: string;
status: number;
}[] = [];
errors.forEach((error) => {
if (error.error instanceof InvalidRequestError) {
returnedErrors.push({
id: error.id,
status: 400,
message: "Invalid request data",
error: error.error.message,
});
} else if (error.error instanceof UnauthorizedError) {
returnedErrors.push({
id: error.id,
status: 401,
message: "Authentication error",
error: error.error.message,
});
} else if (error.error instanceof LangfuseNotFoundError) {
returnedErrors.push({
id: error.id,
status: 404,
message: "Resource not found",
error: error.error.message,
});
} else {
returnedErrors.push({
id: error.id,
status: 500,
error: "Internal Server Error",
});
}
});
if (returnedErrors.length > 0) {
traceException(errors);
logger.error("Error processing events", returnedErrors);
}
results.forEach((result) => {
successes.push({
id: result.id,
status: 201,
});
});
return { successes, errors: returnedErrors };
};
@@ -1,5 +1,7 @@
import type { ZodSchema } from "zod";
import { CallbackHandler } from "langfuse-langchain";
import { ChatAnthropic } from "@langchain/anthropic";
import { ChatBedrockConverse } from "@langchain/aws";
import {
@@ -17,11 +19,27 @@ import {
BedrockConfigSchema,
BedrockCredentialSchema,
} from "../../interfaces/customLLMProviderConfigSchemas";
import { AuthHeaderValidVerificationResult } from "../auth/types";
import {
processEventBatch,
type TokenCountDelegate,
} from "../ingestion/processEventBatch";
import { logger } from "../logger";
import { ChatMessage, ChatMessageRole, LLMAdapter, ModelParams } from "./types";
import type { BaseCallbackHandler } from "@langchain/core/callbacks/base";
type ProcessTracedEvents = () => Promise<void>;
export type TraceParams = {
traceName: string;
traceId: string;
projectId: string;
tags: string[];
tokenCountDelegate: TokenCountDelegate;
authCheck: AuthHeaderValidVerificationResult;
};
type LLMCompletionParams = {
messages: ChatMessage[];
modelParams: ModelParams;
@@ -31,6 +49,7 @@ type LLMCompletionParams = {
apiKey: string;
maxRetries?: number;
config?: Record<string, string> | null;
traceParams?: TraceParams;
};
type FetchLLMCompletionParams = LLMCompletionParams & {
@@ -40,25 +59,34 @@ type FetchLLMCompletionParams = LLMCompletionParams & {
export async function fetchLLMCompletion(
params: LLMCompletionParams & {
streaming: true;
}
): Promise<IterableReadableStream<Uint8Array>>;
},
): Promise<{
completion: IterableReadableStream<Uint8Array>;
processTracedEvents: ProcessTracedEvents;
}>;
export async function fetchLLMCompletion(
params: LLMCompletionParams & {
streaming: false;
}
): Promise<string>;
},
): Promise<{ completion: string; processTracedEvents: ProcessTracedEvents }>;
export async function fetchLLMCompletion(
params: LLMCompletionParams & {
streaming: false;
structuredOutputSchema: ZodSchema;
}
): Promise<unknown>;
},
): Promise<{
completion: unknown;
processTracedEvents: ProcessTracedEvents;
}>;
export async function fetchLLMCompletion(
params: FetchLLMCompletionParams
): Promise<string | IterableReadableStream<Uint8Array> | unknown> {
params: FetchLLMCompletionParams,
): Promise<{
completion: string | IterableReadableStream<Uint8Array> | unknown;
processTracedEvents: ProcessTracedEvents;
}> {
// the apiKey must never be printed to the console
const {
messages,
@@ -69,8 +97,39 @@ export async function fetchLLMCompletion(
baseURL,
maxRetries,
config,
traceParams,
} = params;
let finalCallbacks: BaseCallbackHandler[] | undefined = callbacks ?? [];
let processTracedEvents: ProcessTracedEvents = () => Promise.resolve();
if (traceParams) {
const handler = new CallbackHandler({
_projectId: traceParams.projectId,
_isLocalEventExportEnabled: true,
tags: traceParams.tags,
});
finalCallbacks.push(handler);
processTracedEvents = async () => {
try {
const events = await handler.langfuse._exportLocalEvents(
traceParams.projectId,
);
await processEventBatch(
JSON.parse(JSON.stringify(events)), // stringify to emulate network event batch from network call
traceParams.authCheck,
traceParams.tokenCountDelegate,
);
} catch (e) {
logger.error("Failed to process traced events", { error: e });
}
};
}
finalCallbacks = finalCallbacks.length > 0 ? finalCallbacks : undefined;
const finalMessages = messages.map((message) => {
if (message.role === ChatMessageRole.User)
return new HumanMessage(message.content);
@@ -89,7 +148,7 @@ export async function fetchLLMCompletion(
temperature: modelParams.temperature,
maxTokens: modelParams.max_tokens,
topP: modelParams.top_p,
callbacks,
callbacks: finalCallbacks,
clientOptions: { maxRetries },
});
} else if (modelParams.adapter === LLMAdapter.OpenAI) {
@@ -100,7 +159,7 @@ export async function fetchLLMCompletion(
maxTokens: modelParams.max_tokens,
topP: modelParams.top_p,
streamUsage: false, // https://github.com/langchain-ai/langchainjs/issues/6533
callbacks,
callbacks: finalCallbacks,
maxRetries,
configuration: {
baseURL,
@@ -115,7 +174,7 @@ export async function fetchLLMCompletion(
temperature: modelParams.temperature,
maxTokens: modelParams.max_tokens,
topP: modelParams.top_p,
callbacks,
callbacks: finalCallbacks,
maxRetries,
});
} else if (modelParams.adapter === LLMAdapter.Bedrock) {
@@ -129,7 +188,7 @@ export async function fetchLLMCompletion(
temperature: modelParams.temperature,
maxTokens: modelParams.max_tokens,
topP: modelParams.top_p,
callbacks,
callbacks: finalCallbacks,
maxRetries,
});
} else {
@@ -138,10 +197,19 @@ export async function fetchLLMCompletion(
throw new Error("This model provider is not supported.");
}
const runConfig = {
callbacks: finalCallbacks,
runId: traceParams?.traceId,
runName: traceParams?.traceName,
};
if (params.structuredOutputSchema) {
return await (chatModel as ChatOpenAI) // Typecast necessary due to https://github.com/langchain-ai/langchainjs/issues/6795
.withStructuredOutput(params.structuredOutputSchema)
.invoke(finalMessages);
return {
completion: await (chatModel as ChatOpenAI) // Typecast necessary due to https://github.com/langchain-ai/langchainjs/issues/6795
.withStructuredOutput(params.structuredOutputSchema)
.invoke(finalMessages, runConfig),
processTracedEvents,
};
}
/*
@@ -157,27 +225,41 @@ export async function fetchLLMCompletion(
Reference: https://platform.openai.com/docs/guides/reasoning/beta-limitations
*/
if (modelParams.model.startsWith("o1-")) {
return await new ChatOpenAI({
openAIApiKey: apiKey,
modelName: modelParams.model,
temperature: 1,
maxTokens: undefined,
topP: undefined,
callbacks,
maxRetries,
configuration: {
baseURL,
},
})
.pipe(new StringOutputParser())
.invoke(
finalMessages.filter((message) => message._getType() !== "system")
);
return {
completion: await new ChatOpenAI({
openAIApiKey: apiKey,
modelName: modelParams.model,
temperature: 1,
maxTokens: undefined,
topP: undefined,
callbacks,
maxRetries,
configuration: {
baseURL,
},
})
.pipe(new StringOutputParser())
.invoke(
finalMessages.filter((message) => message._getType() !== "system"),
runConfig,
),
processTracedEvents,
};
}
if (streaming) {
return chatModel.pipe(new BytesOutputParser()).stream(finalMessages);
return {
completion: await chatModel
.pipe(new BytesOutputParser())
.stream(finalMessages, runConfig),
processTracedEvents,
};
}
return await chatModel.pipe(new StringOutputParser()).invoke(finalMessages);
return {
completion: await chatModel
.pipe(new StringOutputParser())
.invoke(finalMessages, runConfig),
processTracedEvents,
};
}
+25
View File
@@ -26,6 +26,20 @@ export enum ChatMessageRole {
export const ChatMessageDefaultRoleSchema = z.nativeEnum(ChatMessageRole);
const ChatMessageSchema = z.object({
role: z.union([ChatMessageDefaultRoleSchema, z.string()]), // Users may ingest any string as role via API/SDK
content: z.string(),
});
export const ChatMessageListSchema = z.array(ChatMessageSchema);
export const TextPromptSchema = z.string().min(1, "Enter a prompt");
export const PromptContentSchema = z.union([
ChatMessageListSchema,
TextPromptSchema,
]);
export type PromptContent = z.infer<typeof PromptContentSchema>;
export type ModelParams = {
provider: string;
adapter: LLMAdapter;
@@ -49,6 +63,17 @@ export const ZodModelConfig = z.object({
top_p: z.coerce.number().optional(),
});
// Experiment config
export const ExperimentMetadataSchema = z
.object({
prompt_id: z.string(),
provider: z.string(),
model: z.string(),
model_params: ZodModelConfig,
})
.strict();
export type ExperimentMetadata = z.infer<typeof ExperimentMetadataSchema>;
// NOTE: Update docs page when changing this! https://langfuse.com/docs/playground#openai-playground--anthropic-playground
export const openAIModels = [
"gpt-4o",
@@ -1,20 +1,13 @@
import { filterOperators } from "../../../interfaces/filters";
import { clickhouseCompliantRandomCharacters } from "../../repositories";
function randomCharacters() {
const chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz";
let result = "";
const randomArray = new Uint8Array(5);
crypto.getRandomValues(randomArray);
randomArray.forEach((number) => {
result += chars[number % chars.length];
});
return result;
}
export type ClickhouseOperator =
| (typeof filterOperators)[keyof typeof filterOperators][number]
| "!=";
export interface Filter {
apply(): ClickhouseFilter;
clickhouseTable: string;
operator: (typeof filterOperators)[keyof typeof filterOperators][number];
operator: ClickhouseOperator;
field: string;
}
type ClickhouseFilter = {
@@ -44,7 +37,7 @@ export class StringFilter implements Filter {
}
apply(): ClickhouseFilter {
const varName = `stringFilter${randomCharacters()}`;
const varName = `stringFilter${clickhouseCompliantRandomCharacters()}`;
const fieldWithPrefix = `${this.tablePrefix ? this.tablePrefix + "." : ""}${this.field}`;
let query: string;
@@ -79,29 +72,33 @@ export class NumberFilter implements Filter {
public clickhouseTable: string;
public field: string;
public value: number;
public operator: (typeof filterOperators)["number"][number];
public operator: (typeof filterOperators)["number"][number] | "!=";
public clickhouseTypeOverwrite?: string;
protected tablePrefix?: string;
constructor(opts: {
clickhouseTable: string;
field: string;
operator: (typeof filterOperators)["number"][number];
operator: (typeof filterOperators)["number"][number] | "!=";
value: number;
tablePrefix?: string;
clickhouseTypeOverwrite?: string;
}) {
this.clickhouseTable = opts.clickhouseTable;
this.field = opts.field;
this.value = opts.value;
this.operator = opts.operator;
this.tablePrefix = opts.tablePrefix;
this.clickhouseTypeOverwrite = opts.clickhouseTypeOverwrite;
}
apply(): ClickhouseFilter {
const uid = randomCharacters();
const uid = clickhouseCompliantRandomCharacters();
const varName = `numberFilter${uid}`;
const type = this.clickhouseTypeOverwrite ?? "Decimal64(12)";
return {
query: `${this.tablePrefix ? this.tablePrefix + "." : ""}${this.field} ${this.operator} {${varName}: Decimal}`,
params: { [varName]: this.value },
query: `${this.tablePrefix ? this.tablePrefix + "." : ""}${this.field} ${this.operator} {${varName}: ${type}}`,
params: { [varName]: this.value.toString() },
};
}
}
@@ -128,7 +125,7 @@ export class DateTimeFilter implements Filter {
}
apply(): ClickhouseFilter {
const uid = randomCharacters();
const uid = clickhouseCompliantRandomCharacters();
const varName = `dateTimeFilter${uid}`;
return {
query: `${this.tablePrefix ? this.tablePrefix + "." : ""}${this.field} ${this.operator} {${varName}: DateTime64(3)}`,
@@ -159,7 +156,7 @@ export class StringOptionsFilter implements Filter {
}
apply(): ClickhouseFilter {
const uid = randomCharacters();
const uid = clickhouseCompliantRandomCharacters();
const varName = `stringOptionsFilter${uid}`;
return {
query:
@@ -198,8 +195,8 @@ export class StringObjectFilter implements Filter {
}
apply(): ClickhouseFilter {
const varKeyName = `stringObjectKeyFilter${randomCharacters()}`;
const varValueName = `stringObjectValueFilter${randomCharacters()}`;
const varKeyName = `stringObjectKeyFilter${clickhouseCompliantRandomCharacters()}`;
const varValueName = `stringObjectValueFilter${clickhouseCompliantRandomCharacters()}`;
const column = `${this.tablePrefix ? this.tablePrefix + "." : ""}${this.field}`;
// const query: `${column}['{varKeyName: String}'] ${this.operator} {${varValueName}: String}`,
@@ -254,7 +251,7 @@ export class ArrayOptionsFilter implements Filter {
}
apply(): ClickhouseFilter {
const uid = randomCharacters();
const uid = clickhouseCompliantRandomCharacters();
const varName = `arrayOptionsFilter${uid}`;
let query: string;
@@ -266,7 +263,7 @@ export class ArrayOptionsFilter implements Filter {
query = `hasAny({${varName}: Array(String)}, ${this.tablePrefix ? this.tablePrefix + "." : ""}${this.field}) = False`;
break;
case "all of":
query = `arrayAll(x -> has({${varName}: Array(String)}, x), ${this.tablePrefix ? this.tablePrefix + "." : ""}${this.field}) = True`;
query = `hasAll(${this.tablePrefix ? this.tablePrefix + "." : ""}${this.field}, {${varName}: Array(String)}) = True`;
break;
default:
throw new Error(`Unsupported operator: ${this.operator}`);
@@ -310,13 +307,13 @@ export class NumberObjectFilter implements Filter {
public field: string;
public key: string;
public value: number;
public operator: (typeof filterOperators)["numberObject"][number];
public operator: (typeof filterOperators)["numberObject"][number] | "!=";
protected tablePrefix?: string;
constructor(opts: {
clickhouseTable: string;
field: string;
operator: (typeof filterOperators)["numberObject"][number];
operator: (typeof filterOperators)["numberObject"][number] | "!=";
key: string;
value: number;
tablePrefix?: string;
@@ -330,11 +327,11 @@ export class NumberObjectFilter implements Filter {
}
apply(): ClickhouseFilter {
const varKeyName = `numberObjectKeyFilter${randomCharacters()}`;
const varValueName = `numberObjectValueFilter${randomCharacters()}`;
const varKeyName = `numberObjectKeyFilter${clickhouseCompliantRandomCharacters()}`;
const varValueName = `numberObjectValueFilter${clickhouseCompliantRandomCharacters()}`;
const column = `${this.tablePrefix ? this.tablePrefix + "." : ""}${this.field}`;
return {
query: `empty(arrayFilter(x -> (((x.1) = {${varKeyName}: String}) AND ((x.2) ${this.operator} {${varValueName}: Decimal})), ${column})) = 0`,
query: `empty(arrayFilter(x -> (((x.1) = {${varKeyName}: String}) AND ((x.2) ${this.operator} {${varValueName}: Decimal64(12)})), ${column})) = 0`,
params: { [varKeyName]: this.key, [varValueName]: this.value },
};
}
@@ -362,7 +359,7 @@ export class BooleanFilter implements Filter {
}
apply(): ClickhouseFilter {
const uid = randomCharacters();
const uid = clickhouseCompliantRandomCharacters();
const varName = `booleanFilter${uid}`;
return {
query: `${this.tablePrefix ? this.tablePrefix + "." : ""}${this.field} ${this.operator} {${varName}: Boolean}`,
@@ -374,7 +371,7 @@ export class BooleanFilter implements Filter {
export class FilterList {
private filters: Filter[];
constructor(filters: Filter[]) {
constructor(filters: Filter[] = []) {
this.filters = filters;
}
@@ -386,6 +383,10 @@ export class FilterList {
return this.filters.find(predicate);
}
length() {
return this.filters.length;
}
public apply(): ClickhouseFilter {
if (this.filters.length === 0) {
return {
@@ -67,6 +67,7 @@ export const createFilterFromFilterState = (
operator: frontEndFilter.operator,
value: frontEndFilter.value,
tablePrefix: column.queryPrefix,
clickhouseTypeOverwrite: column.clickhouseTypeOverwrite,
});
case "arrayOptions":
return new ArrayOptionsFilter({
@@ -11,13 +11,13 @@ export function parseTraceAllFilters(input: TableFilters) {
const filterCondition = tableColumnsToSqlFilterAndPrefix(
input.filter ?? [],
tracesTableCols,
"traces"
"traces",
);
const orderByCondition = orderByToPrismaSql(input.orderBy, tracesTableCols);
// to improve query performance, add timeseries filter to observation queries as well
const timeseriesFilter = input.filter?.find(
(f) => f.column === "Timestamp" && f.type === "datetime"
(f) => f.column === "Timestamp" && f.type === "datetime",
);
const observationTimeseriesFilter =
@@ -25,7 +25,7 @@ export function parseTraceAllFilters(input: TableFilters) {
? datetimeFilterToPrismaSql(
"start_time",
timeseriesFilter.operator,
timeseriesFilter.value
timeseriesFilter.value,
)
: Prisma.empty;
@@ -130,6 +130,6 @@ export function createTracesQuery({
${filterCondition}
${orderByCondition}
${limit ? Prisma.sql`LIMIT ${limit}` : Prisma.empty}
${page && limit ? Prisma.sql`OFFSET ${page * limit}` : Prisma.empty}
${page !== undefined && limit !== undefined ? Prisma.sql`OFFSET ${page * limit}` : Prisma.empty}
`;
}
@@ -7,3 +7,16 @@ export {
type FullObservationsWithScores,
type IOAndMetadataOmittedObservations,
} from "./createGenerationsQuery";
export {
FilterList,
StringFilter,
DateTimeFilter,
StringOptionsFilter,
NumberFilter,
ArrayOptionsFilter,
BooleanFilter,
NumberObjectFilter,
StringObjectFilter,
NullFilter,
type ClickhouseOperator,
} from "./clickhouse-sql/clickhouse-filter";
+23
View File
@@ -7,6 +7,7 @@ export enum EventName {
EvaluationExecution = "EvaluationExecution",
LegacyIngestion = "LegacyIngestion",
CloudUsageMetering = "CloudUsageMetering",
ExperimentCreate = "ExperimentCreate",
}
export const LegacyIngestionEventFull = z.object({
@@ -78,6 +79,13 @@ export const EvalExecutionEvent = z.object({
delay: z.number().nullish(),
});
export const ExperimentCreateEventSchema = z.object({
projectId: z.string(),
datasetId: z.string(),
runId: z.string(),
description: z.string().optional(),
});
export type BatchExportJobType = z.infer<typeof BatchExportJobSchema>;
export type TraceUpsertEventType = z.infer<typeof TraceUpsertEventSchema>;
export type DatasetRunItemUpsertEventType = z.infer<
@@ -86,6 +94,9 @@ export type DatasetRunItemUpsertEventType = z.infer<
export type EvalExecutionEventType = z.infer<typeof EvalExecutionEvent>;
export type LegacyIngestionEventType = z.infer<typeof LegacyIngestionEvent>;
export type IngestionEventQueueType = z.infer<typeof IngestionEvent>;
export type ExperimentCreateEventType = z.infer<
typeof ExperimentCreateEventSchema
>;
export const EventBodySchema = z.union([
z.object({
@@ -100,6 +111,10 @@ export const EventBodySchema = z.union([
name: z.literal(EventName.BatchExport),
payload: BatchExportJobSchema,
}),
z.object({
name: z.literal(EventName.ExperimentCreate),
payload: ExperimentCreateEventSchema,
}),
]);
export type EventBodyType = z.infer<typeof EventBodySchema>;
@@ -111,6 +126,7 @@ export enum QueueName {
IngestionQueue = "ingestion-queue", // Process single events with S3-merge
LegacyIngestionQueue = "legacy-ingestion-queue", // Used for batch processing of Ingestion
CloudUsageMeteringQueue = "cloud-usage-metering-queue",
ExperimentCreate = "experiment-create-queue",
}
export enum QueueJobs {
@@ -122,6 +138,7 @@ export enum QueueJobs {
LegacyIngestionJob = "legacy-ingestion-job",
CloudUsageMeteringJob = "cloud-usage-metering-job",
IngestionJob = "ingestion-job",
ExperimentCreateJob = "experiment-create-job",
}
export type TQueueJobTypes = {
@@ -161,4 +178,10 @@ export type TQueueJobTypes = {
payload: IngestionEventQueueType;
name: QueueJobs.IngestionJob;
};
[QueueName.ExperimentCreate]: {
timestamp: Date;
id: string;
payload: ExperimentCreateEventType;
name: QueueJobs.ExperimentCreateJob;
};
};
@@ -0,0 +1,61 @@
import { Queue } from "bullmq";
import { env } from "../..";
import { logger } from "@azure/storage-blob";
import { QueueName, QueueJobs } from "../queues";
import { createNewRedisInstance, redisQueueRetryOptions } from "./redis";
export class CloudUsageMeteringQueue {
private static instance: Queue | null = null;
public static getInstance(): Queue | null {
if (!env.STRIPE_SECRET_KEY) {
return null;
}
if (CloudUsageMeteringQueue.instance) {
return CloudUsageMeteringQueue.instance;
}
const newRedis = createNewRedisInstance({
enableOfflineQueue: false,
...redisQueueRetryOptions,
});
CloudUsageMeteringQueue.instance = newRedis
? new Queue(QueueName.CloudUsageMeteringQueue, {
connection: newRedis,
defaultJobOptions: {
removeOnComplete: true,
removeOnFail: 100,
attempts: 5,
backoff: {
type: "exponential",
delay: 5000,
},
},
})
: null;
CloudUsageMeteringQueue.instance?.on("error", (err) => {
logger.error("CloudUsageMeteringQueue error", err);
});
if (CloudUsageMeteringQueue.instance) {
CloudUsageMeteringQueue.instance.add(
QueueJobs.CloudUsageMeteringJob,
{},
{
repeat: { pattern: "5 * * * *" },
},
);
CloudUsageMeteringQueue.instance.add(
QueueJobs.CloudUsageMeteringJob,
{},
{},
);
}
return CloudUsageMeteringQueue.instance;
}
}
@@ -27,7 +27,8 @@ export class DatasetRunItemUpsertQueue {
defaultJobOptions: {
removeOnComplete: true,
removeOnFail: 10_000,
attempts: 2,
attempts: 5,
delay: 30_000, // 30 seconds
backoff: {
type: "exponential",
delay: 5000,
@@ -0,0 +1,45 @@
import { Queue } from "bullmq";
import { logger } from "../logger";
import { TQueueJobTypes, QueueName } from "../queues";
import { createNewRedisInstance, redisQueueRetryOptions } from "./redis";
export class EvalExecutionQueue {
private static instance: Queue<
TQueueJobTypes[QueueName.EvaluationExecution]
> | null = null;
public static getInstance(): Queue<
TQueueJobTypes[QueueName.EvaluationExecution]
> | null {
if (EvalExecutionQueue.instance) return EvalExecutionQueue.instance;
const newRedis = createNewRedisInstance({
enableOfflineQueue: false,
...redisQueueRetryOptions,
});
EvalExecutionQueue.instance = newRedis
? new Queue<TQueueJobTypes[QueueName.EvaluationExecution]>(
QueueName.EvaluationExecution,
{
connection: newRedis,
defaultJobOptions: {
removeOnComplete: true,
removeOnFail: 10_000,
attempts: 10,
backoff: {
type: "exponential",
delay: 5000,
},
},
},
)
: null;
EvalExecutionQueue.instance?.on("error", (err) => {
logger.error("EvalExecutionQueue error", err);
});
return EvalExecutionQueue.instance;
}
}
@@ -0,0 +1,45 @@
import { Queue } from "bullmq";
import { logger } from "../logger";
import { TQueueJobTypes, QueueName } from "../queues";
import { createNewRedisInstance, redisQueueRetryOptions } from "./redis";
export class ExperimentCreateQueue {
private static instance: Queue<
TQueueJobTypes[QueueName.ExperimentCreate]
> | null = null;
public static getInstance(): Queue<
TQueueJobTypes[QueueName.ExperimentCreate]
> | null {
if (ExperimentCreateQueue.instance) return ExperimentCreateQueue.instance;
const newRedis = createNewRedisInstance({
enableOfflineQueue: false,
...redisQueueRetryOptions,
});
ExperimentCreateQueue.instance = newRedis
? new Queue<TQueueJobTypes[QueueName.ExperimentCreate]>(
QueueName.ExperimentCreate,
{
connection: newRedis,
defaultJobOptions: {
removeOnComplete: true,
removeOnFail: 10_000,
attempts: 2,
backoff: {
type: "exponential",
delay: 5000,
},
},
},
)
: null;
ExperimentCreateQueue.instance?.on("error", (err) => {
logger.error("ExperimentCreateQueue error", err);
});
return ExperimentCreateQueue.instance;
}
}
@@ -0,0 +1,34 @@
import { Queue } from "bullmq";
import { QueueName } from "../queues";
import { BatchExportQueue } from "./batchExport";
import { CloudUsageMeteringQueue } from "./CloudUsageMeteringQueue";
import { DatasetRunItemUpsertQueue } from "./datasetRunItemUpsert";
import { EvalExecutionQueue } from "./evalExecutionQueue";
import { ExperimentCreateQueue } from "./experimentCreateQueue";
import { IngestionQueue } from "./ingestionQueue";
import { LegacyIngestionQueue } from "./legacyIngestion";
import { TraceUpsertQueue } from "./traceUpsert";
export function getQueue(queueName: QueueName): Queue | null {
switch (queueName) {
case QueueName.LegacyIngestionQueue:
return LegacyIngestionQueue.getInstance();
case QueueName.BatchExport:
return BatchExportQueue.getInstance();
case QueueName.CloudUsageMeteringQueue:
return CloudUsageMeteringQueue.getInstance();
case QueueName.DatasetRunItemUpsert:
return DatasetRunItemUpsertQueue.getInstance();
case QueueName.EvaluationExecution:
return EvalExecutionQueue.getInstance();
case QueueName.ExperimentCreate:
return ExperimentCreateQueue.getInstance();
case QueueName.TraceUpsert:
return TraceUpsertQueue.getInstance();
case QueueName.IngestionQueue:
return IngestionQueue.getInstance();
default:
const exhaustiveCheckDefault: never = queueName;
throw new Error(`Queue ${queueName} not found`);
}
}
@@ -32,6 +32,7 @@ export class TraceUpsertQueue {
removeOnComplete: 100, // Important: If not true, new jobs for that ID would be ignored as jobs in the complete set are still considered as part of the queue
removeOnFail: 100_000,
attempts: 5,
delay: 10_000, // 10 seconds
backoff: {
type: "exponential",
delay: 5000,
@@ -48,43 +49,3 @@ export class TraceUpsertQueue {
return TraceUpsertQueue.instance;
}
}
export function convertTraceUpsertEventsToRedisEvents(
events: TraceUpsertEventType[],
) {
const uniqueTracesPerProject = events.reduce((acc, event) => {
if (!acc.get(event.projectId)) {
acc.set(event.projectId, new Set());
}
acc.get(event.projectId)?.add(event.traceId);
return acc;
}, new Map<string, Set<string>>());
return [...uniqueTracesPerProject.entries()]
.map((tracesPerProject) => {
const [projectId, traceIds] = tracesPerProject;
return [...traceIds].map((traceId) => ({
name: QueueJobs.TraceUpsert,
data: {
payload: {
projectId,
traceId,
},
id: randomUUID(),
timestamp: new Date(),
name: QueueJobs.TraceUpsert as const,
},
opts: {
removeOnFail: 1_000,
removeOnComplete: true,
attempts: 5,
backoff: {
type: "exponential",
delay: 1000,
},
},
}));
})
.flat();
}
@@ -5,15 +5,19 @@ import {
} from "../clickhouse/client";
import { logger } from "../logger";
import { instrumentAsync } from "../instrumentation";
import { S3StorageService } from "../services/S3StorageService";
import {
StorageService,
StorageServiceFactory,
} from "../services/StorageService";
import { randomUUID } from "crypto";
import { getClickhouseEntityType } from "../clickhouse/schemaUtils";
import { NodeClickHouseClientConfigOptions } from "@clickhouse/client/dist/config";
let s3StorageServiceClient: S3StorageService;
let s3StorageServiceClient: StorageService;
const getS3StorageServiceClient = (bucketName: string): S3StorageService => {
const getS3StorageServiceClient = (bucketName: string): StorageService => {
if (!s3StorageServiceClient) {
s3StorageServiceClient = new S3StorageService({
s3StorageServiceClient = StorageServiceFactory.getInstance({
bucketName,
accessKeyId: env.LANGFUSE_S3_EVENT_UPLOAD_ACCESS_KEY_ID,
secretAccessKey: env.LANGFUSE_S3_EVENT_UPLOAD_SECRET_ACCESS_KEY,
@@ -28,7 +32,7 @@ const getS3StorageServiceClient = (bucketName: string): S3StorageService => {
export async function upsertClickhouse<
T extends Record<string, unknown>,
>(opts: {
table: "scores" | "traces"; // TODO: Modify eventType logic to support more tables going forward
table: "scores" | "traces" | "observations";
records: T[];
eventBodyMapper: (body: T) => Record<string, unknown>;
}): Promise<void> {
@@ -36,10 +40,6 @@ export async function upsertClickhouse<
// https://opentelemetry.io/docs/specs/semconv/database/database-spans/
span.setAttribute("ch.query.table", opts.table);
// drop trailing s and pretend it's always a create.
// Only applicable to scores and traces.
const eventType = `${opts.table.slice(0, -1)}-create`;
// If event upload is enabled, we store all rows in S3 to have a backup
if (env.LANGFUSE_S3_EVENT_UPLOAD_ENABLED === "true") {
if (env.LANGFUSE_S3_EVENT_UPLOAD_BUCKET === undefined) {
@@ -50,6 +50,13 @@ export async function upsertClickhouse<
);
await Promise.all(
opts.records.map((record) => {
// drop trailing s and pretend it's always a create.
// Only applicable to scores and traces.
let eventType = `${opts.table.slice(0, -1)}-create`;
if (opts.table === "observations") {
// @ts-ignore - If it's an observation we now that `type` is a string
eventType = `${record["type"].toLowerCase()}-create`;
}
s3Client.uploadJson(
`${env.LANGFUSE_S3_EVENT_UPLOAD_PREFIX}${record.project_id}/${getClickhouseEntityType(eventType)}/${record.id}/${randomUUID()}.json`,
[
@@ -65,7 +72,7 @@ export async function upsertClickhouse<
);
}
const res = await clickhouseClient.insert({
const res = await clickhouseClient().insert({
table: opts.table,
values: opts.records.map((record) => ({
...record,
@@ -103,12 +110,13 @@ export async function upsertClickhouse<
export async function queryClickhouse<T>(opts: {
query: string;
params?: Record<string, unknown> | undefined;
clickhouseConfigs?: NodeClickHouseClientConfigOptions;
}): Promise<T[]> {
return await instrumentAsync({ name: "clickhouse-query" }, async (span) => {
// https://opentelemetry.io/docs/specs/semconv/database/database-spans/
span.setAttribute("ch.query.text", opts.query);
const res = await clickhouseClient.query({
const res = await clickhouseClient(opts.clickhouseConfigs).query({
query: opts.query,
format: "JSONEachRow",
query_params: opts.params,
@@ -145,12 +153,12 @@ export async function queryClickhouse<T>(opts: {
export async function commandClickhouse<T>(opts: {
query: string;
params?: Record<string, unknown> | undefined;
clickhouseConfigs?: NodeClickHouseClientConfigOptions;
}): Promise<void> {
return await instrumentAsync({ name: "clickhouse-command" }, async (span) => {
// https://opentelemetry.io/docs/specs/semconv/database/database-spans/
span.setAttribute("ch.query.text", opts.query);
const res = await clickhouseClient.command({
const res = await clickhouseClient(opts.clickhouseConfigs).command({
query: opts.query,
query_params: opts.params,
});
@@ -184,3 +192,14 @@ export async function commandClickhouse<T>(opts: {
export function parseClickhouseUTCDateTimeFormat(dateStr: string): Date {
return new Date(`${dateStr.replace(" ", "T")}Z`);
}
export function clickhouseCompliantRandomCharacters() {
const chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz";
let result = "";
const randomArray = new Uint8Array(5);
crypto.getRandomValues(randomArray);
randomArray.forEach((number) => {
result += chars[number % chars.length];
});
return result;
}
@@ -256,8 +256,8 @@ export const getDistinctModels = async (
) as DateTimeFilter | undefined)
: undefined;
// No need for final as duplicates are caught by distinct anyway.
const query = `
// No need for final as duplicates are caught by distinct anyway.
const query = `
SELECT distinct(provided_model_name) as model
FROM observations o
${tracesFilter ? "LEFT JOIN traces t ON o.trace_id = t.id AND o.project_id = t.project_id" : ""}
@@ -129,8 +129,8 @@ export const scoreRecordBaseSchema = z.object({
project_id: z.string(),
trace_id: z.string(),
observation_id: z.string().nullish(),
name: z.string().nullish(),
value: z.union([z.number(), z.string()]).nullish(),
name: z.string(),
value: z.number().nullish(),
source: z.string(),
comment: z.string().nullish(),
author_user_id: z.string().nullish(),
@@ -5,3 +5,5 @@ export * from "./types";
export * from "./dashboards";
export * from "./traces_converters";
export * from "./scores_converters";
export * from "./observations_converters";
export * from "./clickhouse";
@@ -2,8 +2,9 @@ import {
commandClickhouse,
parseClickhouseUTCDateTimeFormat,
queryClickhouse,
upsertClickhouse,
} from "./clickhouse";
import { Observation, ObservationLevel } from "@prisma/client";
import { ObservationLevel } from "@prisma/client";
import { logger } from "../logger";
import { InternalServerError, LangfuseNotFoundError } from "../../errors";
import { prisma } from "../../db";
@@ -38,6 +39,58 @@ import {
TRACE_TO_OBSERVATIONS_INTERVAL,
} from "./constants";
export const checkObservationExists = async (
projectId: string,
id: string,
startTime: Date | undefined,
): Promise<boolean> => {
const query = `
SELECT id, project_id
FROM observations o
WHERE project_id = {projectId: String}
AND id = {id: String}
${startTime ? `AND start_time >= {startTime: DateTime64(3)} - ${OBSERVATIONS_TO_TRACE_INTERVAL}` : ""}
ORDER BY event_ts DESC
LIMIT 1 BY id, project_id
`;
const rows = await queryClickhouse<{ id: string; project_id: string }>({
query,
params: {
id,
projectId,
...(startTime
? { startTime: convertDateToClickhouseDateTime(startTime) }
: {}),
},
});
return rows.length > 0;
};
/**
* Accepts a trace in a Clickhouse-ready format.
* id, project_id, and timestamp must always be provided.
*/
export const upsertObservation = async (
observation: Partial<ObservationRecordReadType>,
) => {
if (
!["id", "project_id", "start_time", "type"].every(
(key) => key in observation,
)
) {
throw new Error(
"Identifier fields must be provided to upsert Observation.",
);
}
await upsertClickhouse({
table: "observations",
records: [observation as ObservationRecordReadType],
eventBodyMapper: convertObservation,
});
};
export const getObservationsViewForTrace = async (
traceId: string,
projectId: string,
@@ -94,10 +147,170 @@ export const getObservationsViewForTrace = async (
return records.map(convertObservationToView);
};
export const getObservationForTraceIdByName = async (
traceId: string,
projectId: string,
name: string,
timestamp?: Date,
fetchWithInputOutput: boolean = false,
) => {
const query = `
SELECT
id,
trace_id,
project_id,
type,
parent_observation_id,
start_time,
end_time,
name,
metadata,
level,
status_message,
version,
${fetchWithInputOutput ? "input, output," : ""}
provided_model_name,
internal_model_id,
model_parameters,
provided_usage_details,
usage_details,
provided_cost_details,
cost_details,
total_cost,
completion_start_time,
prompt_id,
prompt_name,
prompt_version,
created_at,
updated_at,
event_ts
FROM observations
WHERE trace_id = {traceId: String}
AND project_id = {projectId: String}
AND name = {name: String}
${timestamp ? `AND start_time >= {traceTimestamp: DateTime64(3)} - ${TRACE_TO_OBSERVATIONS_INTERVAL}` : ""}
ORDER BY event_ts DESC
LIMIT 1 BY id, project_id`;
const records = await queryClickhouse<ObservationRecordReadType>({
query,
params: {
traceId,
projectId,
name,
...(timestamp
? { traceTimestamp: convertDateToClickhouseDateTime(timestamp) }
: {}),
},
});
return records.map(convertObservationToView);
};
export const getObservationById = async (
id: string,
projectId: string,
fetchWithInputOutput: boolean = false,
) => {
const records = await getObservationByIdInternal(
id,
projectId,
fetchWithInputOutput,
);
const mapped = records.map(convertObservation);
if (mapped.length === 0) {
throw new LangfuseNotFoundError(`Observation with id ${id} not found`);
}
if (mapped.length > 1) {
logger.error(
`Multiple observations found for id ${id} and project ${projectId}`,
);
throw new InternalServerError(
`Multiple observations found for id ${id} and project ${projectId}`,
);
}
return mapped.shift();
};
export const getObservationsById = async (
ids: string[],
projectId: string,
fetchWithInputOutput: boolean = false,
) => {
const query = `
SELECT
id,
trace_id,
project_id,
type,
parent_observation_id,
start_time,
end_time,
name,
metadata,
level,
status_message,
version,
${fetchWithInputOutput ? "input, output," : ""}
provided_model_name,
internal_model_id,
model_parameters,
provided_usage_details,
usage_details,
provided_cost_details,
cost_details,
total_cost,
completion_start_time,
prompt_id,
prompt_name,
prompt_version,
created_at,
updated_at,
event_ts
FROM observations
WHERE id IN ({ids: Array(String)})
AND project_id = {projectId: String}
ORDER BY event_ts desc
LIMIT 1 by id, project_id`;
const records = await queryClickhouse<ObservationRecordReadType>({
query,
params: { ids, projectId },
});
return records.map(convertObservation);
};
export const getObservationViewById = async (
id: string,
projectId: string,
fetchWithInputOutput: boolean = false,
) => {
const records = await getObservationByIdInternal(
id,
projectId,
fetchWithInputOutput,
);
const mapped = records.map(convertObservationToView);
if (mapped.length === 0) {
throw new LangfuseNotFoundError(`Observation with id ${id} not found`);
}
if (mapped.length > 1) {
logger.error(
`Multiple observations found for id ${id} and project ${projectId}`,
);
throw new InternalServerError(
`Multiple observations found for id ${id} and project ${projectId}`,
);
}
return mapped.shift();
};
const getObservationByIdInternal = async (
id: string,
projectId: string,
fetchWithInputOutput: boolean = false,
) => {
const query = `
SELECT
@@ -134,26 +347,10 @@ export const getObservationById = async (
AND project_id = {projectId: String}
ORDER BY event_ts desc
LIMIT 1 by id, project_id`;
const records = await queryClickhouse<ObservationRecordReadType>({
return await queryClickhouse<ObservationRecordReadType>({
query,
params: { id, projectId },
});
const mapped = records.map(convertObservation);
if (mapped.length === 0) {
throw new LangfuseNotFoundError(`Observation with id ${id} not found`);
}
if (mapped.length > 1) {
logger.error(
`Multiple observations found for id ${id} and project ${projectId}`,
);
throw new InternalServerError(
`Multiple observations found for id ${id} and project ${projectId}`,
);
}
return mapped.shift() as Observation;
};
export type ObservationTableQuery = {
@@ -242,21 +439,19 @@ export const getObservationsTable = async (
opts.projectId,
);
return await Promise.all(
observationRecords.map(async (o) => {
const trace = traces.find((t) => t.id === o.trace_id);
return {
...convertObservationToView({ ...o, type: "GENERATION" }),
latency: o.latency ? Number(o.latency) / 1000 : null,
timeToFirstToken: o.time_to_first_token
? Number(o.time_to_first_token) / 1000
: null,
traceName: trace?.name ?? null,
traceTags: trace?.tags ?? [],
userId: trace?.userId ?? null,
};
}),
);
return observationRecords.map((o) => {
const trace = traces.find((t) => t.id === o.trace_id);
return {
...convertObservationToView({ ...o, type: "GENERATION" }),
latency: o.latency ? Number(o.latency) / 1000 : null,
timeToFirstToken: o.time_to_first_token
? Number(o.time_to_first_token) / 1000
: null,
traceName: trace?.name ?? null,
traceTags: trace?.tags ?? [],
userId: trace?.userId ?? null,
};
});
};
export const getObservationsTableWithModelData = async (
@@ -324,29 +519,27 @@ export const getObservationsTableWithModelData = async (
),
]);
return await Promise.all(
observationRecords.map(async (o) => {
const trace = traces.find((t) => t.id === o.trace_id);
const model = models.find((m) => m.id === o.internal_model_id);
return {
...convertObservationToView({ ...o, type: "GENERATION" }),
latency: o.latency ? Number(o.latency) / 1000 : null,
timeToFirstToken: o.time_to_first_token
? Number(o.time_to_first_token) / 1000
: null,
traceName: trace?.name ?? null,
traceTags: trace?.tags ?? [],
userId: trace?.userId ?? null,
modelId: model?.id ?? null,
inputPrice:
model?.Price?.find((m) => m.usageType === "input")?.price ?? null,
outputPrice:
model?.Price?.find((m) => m.usageType === "output")?.price ?? null,
totalPrice:
model?.Price?.find((m) => m.usageType === "total")?.price ?? null,
};
}),
);
return observationRecords.map((o) => {
const trace = traces.find((t) => t.id === o.trace_id);
const model = models.find((m) => m.id === o.internal_model_id);
return {
...convertObservationToView({ ...o, type: "GENERATION" }),
latency: o.latency ? Number(o.latency) / 1000 : null,
timeToFirstToken: o.time_to_first_token
? Number(o.time_to_first_token) / 1000
: null,
traceName: trace?.name ?? null,
traceTags: trace?.tags ?? [],
userId: trace?.userId ?? null,
modelId: model?.id ?? null,
inputPrice:
model?.Price?.find((m) => m.usageType === "input")?.price ?? null,
outputPrice:
model?.Price?.find((m) => m.usageType === "output")?.price ?? null,
totalPrice:
model?.Price?.find((m) => m.usageType === "total")?.price ?? null,
};
});
};
const getObservationsTableInternal = async <T>(
@@ -3,20 +3,24 @@ import {
ObservationView,
ObservationType,
ObservationLevel,
Prisma,
} from "@prisma/client";
import Decimal from "decimal.js";
import { jsonSchema } from "../../utils/zod";
import { parseClickhouseUTCDateTimeFormat } from "./clickhouse";
import { ObservationRecordReadType } from "./definitions";
import { parseJsonPrioritised } from "../../utils/json";
import { jsonSchema } from "../../utils/zod";
export const convertObservationToView = (
record: ObservationRecordReadType,
): Omit<
ObservationView,
"inputPrice" | "outputPrice" | "totalPrice" | "modelId"
> => {
): Omit<ObservationView, "inputPrice" | "outputPrice" | "totalPrice"> => {
// these cost are not used from the view. They are in the select statement but not in the
// Prisma file. We will not clean this up but keep it as it is for now.
// eslint-disable-next-line no-unused-vars
const { inputCost, outputCost, totalCost, internalModelId, ...rest } =
convertObservation(record ?? undefined);
return {
...convertObservation(record ?? undefined),
...rest,
latency: record.end_time
? parseClickhouseUTCDateTimeFormat(record.end_time).getTime() -
parseClickhouseUTCDateTimeFormat(record.start_time).getTime()
@@ -27,12 +31,18 @@ export const convertObservationToView = (
: null,
promptName: record.prompt_name ?? null,
promptVersion: record.prompt_version ?? null,
modelId: record.internal_model_id ?? null,
};
};
export const convertObservation = (
record: ObservationRecordReadType,
): Omit<Observation, "internalModel"> => {
): Omit<Observation, "internalModel"> & {
promptName: string | null;
promptVersion: number | null;
latency: number | null;
timeToFirstToken: number | null;
} => {
return {
id: record.id,
traceId: record.trace_id ?? null,
@@ -48,8 +58,12 @@ export const convertObservation = (
level: record.level as ObservationLevel,
statusMessage: record.status_message ?? null,
version: record.version ?? null,
input: jsonSchema.nullish().parse(record.input) ?? null,
output: jsonSchema.nullish().parse(record.output) ?? null,
input: (record.input
? jsonSchema.parse(parseJsonPrioritised(record.input))
: null) as Prisma.JsonValue | null,
output: (record.output
? jsonSchema.parse(parseJsonPrioritised(record.output))
: null) as Prisma.JsonValue | null,
modelParameters: record.model_parameters
? JSON.parse(record.model_parameters)
: null,
@@ -87,5 +101,15 @@ export const convertObservation = (
model: record.provided_model_name ?? null,
internalModelId: record.internal_model_id ?? null,
unit: "TOKENS", // to be removed.
promptName: record.prompt_name ?? null,
promptVersion: record.prompt_version ?? null,
latency: record.end_time
? parseClickhouseUTCDateTimeFormat(record.end_time).getTime() -
parseClickhouseUTCDateTimeFormat(record.start_time).getTime()
: null,
timeToFirstToken: record.completion_start_time
? parseClickhouseUTCDateTimeFormat(record.start_time).getTime() -
parseClickhouseUTCDateTimeFormat(record.completion_start_time).getTime()
: null,
};
};
@@ -24,28 +24,7 @@ import {
} from "./scores_converters";
import { SCORE_TO_TRACE_OBSERVATIONS_INTERVAL } from "./constants";
import { convertDateToClickhouseDateTime } from "../clickhouse/client";
export type FetchScoresReturnType = {
id: string;
timestamp: string;
project_id: string;
trace_id: string;
observation_id: string | null;
name: string;
value: number;
source: string;
comment: string | null;
author_user_id: string | null;
config_id: string | null;
data_type: string;
string_value: string | null;
queue_id: string | null;
created_at: string;
updated_at: string;
event_ts: string;
is_deleted: number;
projectId: string;
};
import { ScoreRecordReadType } from "./definitions";
export const searchExistingAnnotationScore = async (
projectId: string,
@@ -74,7 +53,7 @@ export const searchExistingAnnotationScore = async (
LIMIT 1
`;
const rows = await queryClickhouse<FetchScoresReturnType>({
const rows = await queryClickhouse<ScoreRecordReadType>({
query,
params: {
projectId,
@@ -103,7 +82,7 @@ export const getScoreById = async (
LIMIT 1
`;
const rows = await queryClickhouse<FetchScoresReturnType>({
const rows = await queryClickhouse<ScoreRecordReadType>({
query,
params: {
projectId,
@@ -118,13 +97,13 @@ export const getScoreById = async (
* Accepts a score in a Clickhouse-ready format.
* id, project_id, name, and timestamp must always be provided.
*/
export const upsertScore = async (score: Partial<FetchScoresReturnType>) => {
export const upsertScore = async (score: Partial<ScoreRecordReadType>) => {
if (!["id", "project_id", "name", "timestamp"].every((key) => key in score)) {
throw new Error("Identifier fields must be provided to upsert Score.");
}
await upsertClickhouse({
table: "scores",
records: [score as FetchScoresReturnType],
records: [score as ScoreRecordReadType],
eventBodyMapper: convertToScore,
});
};
@@ -148,7 +127,7 @@ export const getScoresForTraces = async (
${limit && offset ? `limit {limit: Int32} offset {offset: Int32}` : ""}
`;
const rows = await queryClickhouse<FetchScoresReturnType>({
const rows = await queryClickhouse<ScoreRecordReadType>({
query: query,
params: {
projectId,
@@ -181,7 +160,7 @@ export const getScoresForObservations = async (
${limit !== undefined && offset !== undefined ? `limit {limit: Int32} offset {offset: Int32}` : ""}
`;
const rows = await queryClickhouse<FetchScoresReturnType>({
const rows = await queryClickhouse<ScoreRecordReadType>({
query: query,
params: {
projectId: projectId,
@@ -1,5 +1,5 @@
import { ScoreSource, ScoreDataType } from "@prisma/client";
import { FetchScoresReturnType } from "./scores";
import { ScoreRecordReadType } from "./definitions";
export type ScoreAggregation = {
id: string;
@@ -11,22 +11,22 @@ export type ScoreAggregation = {
comment: string | null;
};
export const convertToScore = (row: FetchScoresReturnType) => {
export const convertToScore = (row: ScoreRecordReadType) => {
return {
id: row.id,
timestamp: new Date(row.timestamp),
projectId: row.project_id,
traceId: row.trace_id,
observationId: row.observation_id,
observationId: row.observation_id ?? null,
name: row.name,
value: row.value,
value: row.value ?? null,
source: row.source as ScoreSource,
comment: row.comment,
authorUserId: row.author_user_id,
configId: row.config_id,
comment: row.comment ?? null,
authorUserId: row.author_user_id ?? null,
configId: row.config_id ?? null,
dataType: row.data_type as ScoreDataType,
stringValue: row.string_value,
queueId: row.queue_id,
stringValue: row.string_value ?? null,
queueId: row.queue_id ?? null,
createdAt: new Date(row.created_at),
updatedAt: new Date(row.updated_at),
};
+30 -223
View File
@@ -8,14 +8,11 @@ import {
createFilterFromFilterState,
getProjectIdDefaultFilter,
} from "../queries/clickhouse-sql/factory";
import { ObservationLevel, Trace } from "@prisma/client";
import { FilterState } from "../../types";
import { logger } from "../logger";
import {
DateTimeFilter,
FilterList,
StringFilter,
StringOptionsFilter,
} from "../queries/clickhouse-sql/clickhouse-filter";
import { TraceRecordReadType } from "./definitions";
import { tracesTableUiColumnDefinitions } from "../../tableDefinitions/mapTracesTable";
@@ -24,241 +21,51 @@ import { orderByToClickhouseSql } from "../queries/clickhouse-sql/orderby-factor
import { UiColumnMapping } from "../../tableDefinitions";
import { sessionCols } from "../../tableDefinitions/mapSessionTable";
import { convertDateToClickhouseDateTime } from "../clickhouse/client";
import {
convertClickhouseToDomain,
convertToDomain,
} from "./traces_converters";
import { convertClickhouseToDomain } from "./traces_converters";
import { clickhouseSearchCondition } from "../queries/clickhouse-sql/search";
import { TRACE_TO_OBSERVATIONS_INTERVAL } from "./constants";
import { FetchTracesTableProps } from "../services/traces-ui-table-service";
export type TracesTableReturnType = Pick<
TraceRecordReadType,
| "project_id"
| "id"
| "name"
| "timestamp"
| "bookmarked"
| "release"
| "version"
| "user_id"
| "session_id"
| "tags"
| "public"
> & {
level: ObservationLevel;
observation_count: number | null;
latency_milliseconds: string | null;
usage_details: Record<string, number>;
cost_details: Record<string, number>;
scores_avg: Array<{ name: string; avg_value: number }>;
};
export const getTracesTableCount = async (props: {
projectId: string;
filter: FilterState;
searchQuery?: string;
orderBy?: OrderByState;
limit?: number;
offset?: number;
}) => {
const countRows = await getTracesTableGeneric<{ count: string }>({
select: "count(*) as count",
...props,
});
const converted = countRows.map((row) => ({
count: Number(row.count),
}));
return converted.length > 0 ? converted[0].count : 0;
};
export const getTracesTable = async (
export const checkTraceExists = async (
projectId: string,
traceId: string,
timestamp: Date | undefined,
filter: FilterState,
searchQuery?: string,
orderBy?: OrderByState,
limit?: number,
offset?: number,
) => {
const rows = await getTracesTableGeneric<TracesTableReturnType>({
select: `
t.id,
t.project_id as project_id,
t.timestamp,
t.tags,
t.bookmarked,
t.name,
t.release,
t.version,
t.user_id,
t.session_id,
os.latency_milliseconds,
os.cost_details as cost_details,
os.usage_details as usage_details,
os.level as level,
os.observation_count as observation_count,
s.scores_avg as scores_avg,
t.public`,
projectId,
filter,
searchQuery,
orderBy,
limit,
offset,
): Promise<boolean> => {
const { tracesFilter } = getProjectIdDefaultFilter(projectId, {
tracesPrefix: "t",
});
return rows.map(convertToDomain);
};
type FetchTracesTableProps = {
select: string;
projectId: string;
filter: FilterState;
searchQuery?: string;
orderBy?: OrderByState;
limit?: number;
offset?: number;
};
const getTracesTableGeneric = async <T>(props: FetchTracesTableProps) => {
const { select, projectId, filter, orderBy, limit, offset, searchQuery } =
props;
const { tracesFilter, scoresFilter, observationsFilter } =
getProjectIdDefaultFilter(projectId, { tracesPrefix: "t" });
tracesFilter.push(
...createFilterFromFilterState(filter, tracesTableUiColumnDefinitions),
new StringFilter({
clickhouseTable: "t",
field: "id",
operator: "=",
value: traceId,
}),
);
const traceIdFilter = tracesFilter.find(
(f) => f.clickhouseTable === "traces" && f.field === "id",
) as StringFilter | StringOptionsFilter | undefined;
traceIdFilter
? scoresFilter.push(
new StringOptionsFilter({
clickhouseTable: "scores",
field: "trace_id",
operator: "any of",
values:
traceIdFilter instanceof StringFilter
? [traceIdFilter.value]
: traceIdFilter.values,
}),
)
: null;
traceIdFilter
? observationsFilter.push(
new StringOptionsFilter({
clickhouseTable: "observations",
field: "trace_id",
operator: "any of",
values:
traceIdFilter instanceof StringFilter
? [traceIdFilter.value]
: traceIdFilter.values,
}),
)
: null;
// for query optimisation, we have to add the timeseries filter to observations + scores as well
// stats show, that 98% of all observations have their start_time larger than trace.timestamp - 5 min
const timeStampFilter = tracesFilter.find(
(f) =>
f.field === "timestamp" && (f.operator === ">=" || f.operator === ">"),
) as DateTimeFilter | undefined;
timeStampFilter
? scoresFilter.push(
new DateTimeFilter({
clickhouseTable: "scores",
field: "timestamp",
operator: ">=",
value: timeStampFilter.value,
}),
)
: null;
timeStampFilter
? observationsFilter.push(
new DateTimeFilter({
clickhouseTable: "observations",
field: "start_time",
operator: ">=",
value: timeStampFilter.value,
}),
)
: null;
const tracesFilterRes = tracesFilter.apply();
const scoresFilterRes = scoresFilter.apply();
const observationFilterRes = observationsFilter.apply();
const search = clickhouseSearchCondition(searchQuery);
const query = `
WITH observations_stats AS (
SELECT
COUNT(*) AS observation_count,
sumMap(usage_details) as usage_details,
SUM(total_cost) AS total_cost,
date_diff('milliseconds', least(min(start_time), min(end_time)), greatest(max(start_time), max(end_time))) as latency_milliseconds,
multiIf(
arrayExists(x -> x = 'ERROR', groupArray(level)), 'ERROR',
arrayExists(x -> x = 'WARNING', groupArray(level)), 'WARNING',
arrayExists(x -> x = 'DEFAULT', groupArray(level)), 'DEFAULT',
'DEBUG'
) AS level,
sumMap(cost_details) as cost_details,
trace_id,
project_id
FROM observations FINAL
WHERE ${observationFilterRes.query}
GROUP BY trace_id, project_id
),
scores_avg AS (
SELECT
project_id,
trace_id,
groupArray(tuple(name, avg_value)) AS "scores_avg"
FROM (
SELECT project_id,
trace_id,
name,
avg(value) avg_value
FROM scores final
WHERE ${scoresFilterRes.query}
GROUP BY project_id,
trace_id,
name
) tmp
GROUP BY project_id, trace_id
)
SELECT ${select}
FROM traces t final
LEFT JOIN observations_stats os on os.project_id = t.project_id and os.trace_id = t.id
LEFT JOIN scores_avg s on s.project_id = t.project_id and s.trace_id = t.id
SELECT id, project_id
FROM traces t FINAL
WHERE ${tracesFilterRes.query}
${search.query}
${orderByToClickhouseSql(orderBy ?? null, tracesTableUiColumnDefinitions)}
${limit !== undefined && offset !== undefined ? `LIMIT {limit: Int32} OFFSET {offset: Int32}` : ""}
${timestamp ? `AND timestamp >= {timestamp: DateTime64(3)} - ${TRACE_TO_OBSERVATIONS_INTERVAL}` : ""}
`;
const res = await queryClickhouse<T>({
query: query,
const rows = await queryClickhouse<{ id: string; project_id: string }>({
query,
params: {
limit: limit,
offset: offset,
...tracesFilterRes.params,
...observationFilterRes.params,
...scoresFilterRes.params,
...search.params,
...(timestamp
? { timestamp: convertDateToClickhouseDateTime(timestamp) }
: {}),
},
});
return res;
return rows.length > 0;
};
/**
@@ -535,7 +342,7 @@ export const getSessionsTableCount = async (props: {
filter: FilterState;
orderBy?: OrderByState;
limit?: number;
offset?: number;
page?: number;
}) => {
const rows = await getSessionsTableGeneric<{ count: string }>({
select: `
@@ -545,7 +352,7 @@ export const getSessionsTableCount = async (props: {
filter: props.filter,
orderBy: props.orderBy,
limit: props.limit,
offset: props.offset,
page: props.page,
});
return rows.length > 0 ? Number(rows[0].count) : 0;
@@ -556,7 +363,7 @@ export const getSessionsTable = async (props: {
filter: FilterState;
orderBy?: OrderByState;
limit?: number;
offset?: number;
page?: number;
}) => {
const rows = await getSessionsTableGeneric<SessionDataReturnType>({
select: `
@@ -582,14 +389,14 @@ export const getSessionsTable = async (props: {
filter: props.filter,
orderBy: props.orderBy,
limit: props.limit,
offset: props.offset,
page: props.page,
});
return rows;
};
const getSessionsTableGeneric = async <T>(props: FetchTracesTableProps) => {
const { select, projectId, filter, orderBy, limit, offset } = props;
const { select, projectId, filter, orderBy, limit, page } = props;
const { tracesFilter, scoresFilter, observationsFilter } =
getProjectIdDefaultFilter(projectId, { tracesPrefix: "s" });
@@ -664,7 +471,7 @@ const getSessionsTableGeneric = async <T>(props: FetchTracesTableProps) => {
FROM session_data s
WHERE ${tracesFilterRes.query ? tracesFilterRes.query : ""}
${orderByToClickhouseSql(orderBy ?? null, sessionCols)}
${limit !== undefined && offset !== undefined ? `LIMIT {limit: Int32} OFFSET {offset: Int32}` : ""}
${limit !== undefined && page !== undefined ? `LIMIT {limit: Int32} OFFSET {offset: Int32}` : ""}
`;
const obsStartTimeValue = traceTimestampFilter
@@ -676,7 +483,7 @@ const getSessionsTableGeneric = async <T>(props: FetchTracesTableProps) => {
params: {
projectId,
limit: limit,
offset: offset,
offset: limit && page ? limit * page : 0,
...tracesFilterRes.params,
...observationsStatsRes.params,
...scoresAvgFilterRes.params,
@@ -1,10 +1,10 @@
import { ObservationLevel, Trace } from "@prisma/client";
import { parseClickhouseUTCDateTimeFormat } from "./clickhouse";
import { TraceRecordReadType } from "./definitions";
import { TracesTableReturnType } from "./traces";
import Decimal from "decimal.js";
import { ScoreAggregate } from "../../features/scores";
import { convertDateToClickhouseDateTime } from "../clickhouse/client";
import { TracesTableReturnType } from "../services/traces-ui-table-service";
export const convertTraceDomainToClickhouse = (
trace: Trace,
@@ -81,7 +81,7 @@ export const convertToDomain = (row: TracesTableReturnType) => {
version: row.version ?? null,
userId: row.user_id ?? null,
sessionId: row.session_id ?? null,
latencyMilliseconds: Number(row.latency_milliseconds),
latency: Number(row.latency),
usageDetails: row.usage_details,
costDetails: row.cost_details,
level: row.level,
@@ -1,172 +0,0 @@
import type { Readable } from "stream";
import {
GetObjectCommand,
ListObjectsV2Command,
PutObjectCommand,
S3Client,
} from "@aws-sdk/client-s3";
import { Upload } from "@aws-sdk/lib-storage";
import { getSignedUrl } from "@aws-sdk/s3-request-presigner";
import { logger } from "../logger";
type UploadFile = {
fileName: string;
fileType: string;
data: Readable | string;
expiresInSeconds: number;
};
export class S3StorageService {
private client: S3Client;
private bucketName: string;
constructor(params: {
accessKeyId: string | undefined;
secretAccessKey: string | undefined;
bucketName: string;
endpoint: string | undefined;
region: string | undefined;
forcePathStyle: boolean;
}) {
// Use accessKeyId and secretAccessKey if provided or fallback to default credentials
const { accessKeyId, secretAccessKey } = params;
const credentials =
accessKeyId !== undefined && secretAccessKey !== undefined
? {
accessKeyId,
secretAccessKey,
}
: undefined;
this.client = new S3Client({
credentials,
endpoint: params.endpoint,
region: params.region,
forcePathStyle: params.forcePathStyle,
});
this.bucketName = params.bucketName;
}
public async uploadFile({
fileName,
fileType,
data,
expiresInSeconds,
}: UploadFile): Promise<{ signedUrl: string }> {
try {
await new Upload({
client: this.client,
params: {
Bucket: this.bucketName,
Key: fileName,
Body: data,
ContentType: fileType,
},
}).done();
const signedUrl = await this.getSignedUrl(fileName, expiresInSeconds);
return { signedUrl };
} catch (err) {
logger.error(`Failed to upload file to ${fileName}`, err);
throw new Error("Failed to upload to S3 or generate signed URL");
}
}
public async uploadJson(path: string, body: Record<string, unknown>[]) {
const putCommand = new PutObjectCommand({
Bucket: this.bucketName,
Key: path,
Body: JSON.stringify(body),
ContentType: "application/json",
});
try {
await this.client.send(putCommand);
} catch (err) {
logger.error(`Failed to upload JSON to S3 ${path}`, err);
throw Error("Failed to upload JSON to S3");
}
}
public async download(path: string): Promise<string> {
const getCommand = new GetObjectCommand({
Bucket: this.bucketName,
Key: path,
});
try {
const response = await this.client.send(getCommand);
return (await response.Body?.transformToString()) ?? "";
} catch (err) {
logger.error(`Failed to download file from S3 ${path}`, err);
throw Error("Failed to download file from S3");
}
}
public async listFiles(prefix: string): Promise<string[]> {
const listCommand = new ListObjectsV2Command({
Bucket: this.bucketName,
Prefix: prefix,
});
try {
const response = await this.client.send(listCommand);
return (
response.Contents?.flatMap((file) => (file.Key ? [file.Key] : [])) ?? []
);
} catch (err) {
logger.error(`Failed to list files from S3 ${prefix}`, err);
throw Error("Failed to list files from S3");
}
}
public async getSignedUrl(
fileName: string,
ttlSeconds: number,
asAttachment: boolean = true,
): Promise<string> {
try {
return await getSignedUrl(
this.client,
new GetObjectCommand({
Bucket: this.bucketName,
Key: fileName,
ResponseContentDisposition: asAttachment
? `attachment; filename="${fileName}"`
: undefined,
}),
{ expiresIn: ttlSeconds },
);
} catch (err) {
logger.error(`Failed to generate presigned URL for ${fileName}`, err);
throw Error("Failed to generate signed URL");
}
}
public async getSignedUploadUrl(params: {
path: string;
ttlSeconds: number;
sha256Hash: string;
contentType: string;
contentLength: number;
}): Promise<string> {
const { path, ttlSeconds, contentType, contentLength, sha256Hash } = params;
return await getSignedUrl(
this.client,
new PutObjectCommand({
Bucket: this.bucketName,
Key: path,
ContentType: contentType,
ChecksumSHA256: sha256Hash,
ContentLength: contentLength,
}),
{
expiresIn: ttlSeconds,
signableHeaders: new Set(["content-type", "content-length"]),
unhoistableHeaders: new Set(["x-amz-checksum-sha256"]),
},
);
}
}
@@ -0,0 +1,432 @@
import { Readable } from "stream";
import {
GetObjectCommand,
ListObjectsV2Command,
PutObjectCommand,
S3Client,
} from "@aws-sdk/client-s3";
import { Upload } from "@aws-sdk/lib-storage";
import { getSignedUrl } from "@aws-sdk/s3-request-presigner";
import {
BlobSASPermissions,
BlobServiceClient,
ContainerClient,
StorageSharedKeyCredential,
} from "@azure/storage-blob";
import { logger } from "../logger";
import { env } from "../../env";
type UploadFile = {
fileName: string;
fileType: string;
data: Readable | string;
expiresInSeconds: number;
};
export interface StorageService {
uploadFile(params: UploadFile): Promise<{ signedUrl: string }>;
uploadJson(path: string, body: Record<string, unknown>[]): Promise<void>;
download(path: string): Promise<string>;
listFiles(prefix: string): Promise<string[]>;
getSignedUrl(
fileName: string,
ttlSeconds: number,
asAttachment?: boolean,
): Promise<string>;
getSignedUploadUrl(params: {
path: string;
ttlSeconds: number;
sha256Hash: string;
contentType: string;
contentLength: number;
}): Promise<string>;
}
export class StorageServiceFactory {
public static getInstance(params: {
accessKeyId: string | undefined;
secretAccessKey: string | undefined;
bucketName: string;
endpoint: string | undefined;
region: string | undefined;
forcePathStyle: boolean;
}): StorageService {
if (env.LANGFUSE_USE_AZURE_BLOB === "true") {
return new AzureBlobStorageService(params);
}
return new S3StorageService(params);
}
}
class AzureBlobStorageService implements StorageService {
private client: ContainerClient;
private container: string;
constructor(params: {
accessKeyId: string | undefined;
secretAccessKey: string | undefined;
bucketName: string;
endpoint: string | undefined;
region: string | undefined;
forcePathStyle: boolean;
}) {
const { accessKeyId, secretAccessKey, endpoint } = params;
if (!accessKeyId || !secretAccessKey || !endpoint) {
throw new Error(
`Endpoint, account and account key must be configured to use Azure Blob Storage`,
);
}
const sharedKeyCredential = new StorageSharedKeyCredential(
accessKeyId,
secretAccessKey,
);
const blobServiceClient = new BlobServiceClient(
endpoint,
sharedKeyCredential,
);
this.container = params.bucketName;
this.client = blobServiceClient.getContainerClient(this.container);
}
private async createContainerIfNotExists(): Promise<void> {
try {
await this.client.createIfNotExists();
} catch (err) {
logger.error(
`Failed to create Azure Blob Storage container ${this.container}`,
err,
);
throw Error("Failed to create Azure Blob Storage container ");
}
}
public async uploadFile(params: UploadFile): Promise<{ signedUrl: string }> {
const { fileName, data, expiresInSeconds } = params;
try {
await this.createContainerIfNotExists();
const blockBlobClient = this.client.getBlockBlobClient(fileName);
if (typeof data === "string") {
await blockBlobClient.upload(data, data.length);
} else if (data instanceof Readable) {
let offset = 0;
const blockIds = [];
for await (const chunk of data) {
const blockId = Buffer.from(`block-${offset}`).toString("base64");
const bufferChunk = Buffer.isBuffer(chunk)
? chunk
: Buffer.from(chunk);
await blockBlobClient.stageBlock(
blockId,
bufferChunk,
bufferChunk.length,
);
blockIds.push(blockId);
offset += bufferChunk.length;
}
await blockBlobClient.commitBlockList(blockIds);
} else {
throw new Error("Unsupported data type. Must be Readable or string.");
}
return {
signedUrl: await this.getSignedUrl(fileName, expiresInSeconds, false),
};
} catch (err) {
logger.error(
`Failed to upload file to Azure Blob Storage ${fileName}`,
err,
);
throw Error("Failed to upload file to Azure Blob Storage");
}
}
public async uploadJson(
path: string,
body: Record<string, unknown>[],
): Promise<void> {
await this.createContainerIfNotExists();
const blockBlobClient = this.client.getBlockBlobClient(path);
const content = JSON.stringify(body);
try {
await blockBlobClient.upload(content, content.length);
} catch (err) {
logger.error(`Failed to upload JSON to Azure Blob Storage ${path}`, err);
throw Error("Failed to upload JSON to Azure Blob Storage");
}
}
private async streamToString(
readableStream: NodeJS.ReadableStream,
): Promise<string> {
return new Promise((resolve, reject) => {
const chunks: string[] = [];
readableStream.on("data", (data) => {
chunks.push(data.toString());
});
readableStream.on("end", () => {
resolve(chunks.join(""));
});
readableStream.on("error", reject);
});
}
public async download(path: string): Promise<string> {
try {
await this.createContainerIfNotExists();
const blobClient = this.client.getBlobClient(path);
const downloadResponse = await blobClient.download();
if (!downloadResponse.readableStreamBody) {
throw Error("No stream body available");
}
return this.streamToString(downloadResponse.readableStreamBody);
} catch (err) {
logger.error(
`Failed to download file from Azure Blob Storage ${path}`,
err,
);
throw Error("Failed to download file from Azure Blob Storage");
}
}
public async listFiles(prefix: string): Promise<string[]> {
try {
await this.createContainerIfNotExists();
const result = await this.client.listBlobsFlat({ prefix });
const files = [];
for await (const blob of result) {
if (blob.name.startsWith(prefix)) {
files.push(blob.name);
}
}
return files;
} catch (err) {
logger.error(
`Failed to list files from Azure Blob Storage ${prefix}`,
err,
);
throw Error("Failed to list files from Azure Blob Storage");
}
}
public async getSignedUrl(
fileName: string,
ttlSeconds: number,
asAttachment?: boolean,
): Promise<string> {
try {
await this.createContainerIfNotExists();
const blockBlobClient = this.client.getBlockBlobClient(fileName);
return blockBlobClient.generateSasUrl({
permissions: BlobSASPermissions.parse("r"),
expiresOn: new Date(Date.now() + ttlSeconds * 1000),
contentDisposition: asAttachment
? `attachment; filename="${fileName}"`
: undefined,
});
} catch (err) {
logger.error(
`Failed to generate presigned URL for Azure Blob Storage ${fileName}`,
err,
);
throw Error("Failed to generate presigned URL for Azure Blob Storage");
}
}
public async getSignedUploadUrl(params: {
path: string;
ttlSeconds: number;
sha256Hash: string;
contentType: string;
contentLength: number;
}): Promise<string> {
const { path, ttlSeconds, contentType } = params;
try {
await this.createContainerIfNotExists();
const blockBlobClient = this.client.getBlockBlobClient(path);
return blockBlobClient.generateSasUrl({
permissions: BlobSASPermissions.parse("w"),
expiresOn: new Date(Date.now() + ttlSeconds * 1000),
contentType: contentType,
});
} catch (err) {
logger.error(
`Failed to generate presigned upload URL for Azure Blob Storage ${path}`,
err,
);
throw Error(
"Failed to generate presigned upload URL for Azure Blob Storage",
);
}
}
}
class S3StorageService implements StorageService {
private client: S3Client;
private bucketName: string;
constructor(params: {
accessKeyId: string | undefined;
secretAccessKey: string | undefined;
bucketName: string;
endpoint: string | undefined;
region: string | undefined;
forcePathStyle: boolean;
}) {
// Use accessKeyId and secretAccessKey if provided or fallback to default credentials
const { accessKeyId, secretAccessKey } = params;
const credentials =
accessKeyId !== undefined && secretAccessKey !== undefined
? {
accessKeyId,
secretAccessKey,
}
: undefined;
this.client = new S3Client({
credentials,
endpoint: params.endpoint,
region: params.region,
forcePathStyle: params.forcePathStyle,
});
this.bucketName = params.bucketName;
}
public async uploadFile({
fileName,
fileType,
data,
expiresInSeconds,
}: UploadFile): Promise<{ signedUrl: string }> {
try {
await new Upload({
client: this.client,
params: {
Bucket: this.bucketName,
Key: fileName,
Body: data,
ContentType: fileType,
},
}).done();
const signedUrl = await this.getSignedUrl(fileName, expiresInSeconds);
return { signedUrl };
} catch (err) {
logger.error(`Failed to upload file to ${fileName}`, err);
throw new Error("Failed to upload to S3 or generate signed URL");
}
}
public async uploadJson(path: string, body: Record<string, unknown>[]) {
const putCommand = new PutObjectCommand({
Bucket: this.bucketName,
Key: path,
Body: JSON.stringify(body),
ContentType: "application/json",
});
try {
await this.client.send(putCommand);
} catch (err) {
logger.error(`Failed to upload JSON to S3 ${path}`, err);
throw Error("Failed to upload JSON to S3");
}
}
public async download(path: string): Promise<string> {
const getCommand = new GetObjectCommand({
Bucket: this.bucketName,
Key: path,
});
try {
const response = await this.client.send(getCommand);
return (await response.Body?.transformToString()) ?? "";
} catch (err) {
logger.error(`Failed to download file from S3 ${path}`, err);
throw Error("Failed to download file from S3");
}
}
public async listFiles(prefix: string): Promise<string[]> {
const listCommand = new ListObjectsV2Command({
Bucket: this.bucketName,
Prefix: prefix,
});
try {
const response = await this.client.send(listCommand);
return (
response.Contents?.flatMap((file) => (file.Key ? [file.Key] : [])) ?? []
);
} catch (err) {
logger.error(`Failed to list files from S3 ${prefix}`, err);
throw Error("Failed to list files from S3");
}
}
public async getSignedUrl(
fileName: string,
ttlSeconds: number,
asAttachment: boolean = true,
): Promise<string> {
try {
return await getSignedUrl(
this.client,
new GetObjectCommand({
Bucket: this.bucketName,
Key: fileName,
ResponseContentDisposition: asAttachment
? `attachment; filename="${fileName}"`
: undefined,
}),
{ expiresIn: ttlSeconds },
);
} catch (err) {
logger.error(`Failed to generate presigned URL for ${fileName}`, err);
throw Error("Failed to generate signed URL");
}
}
public async getSignedUploadUrl(params: {
path: string;
ttlSeconds: number;
sha256Hash: string;
contentType: string;
contentLength: number;
}): Promise<string> {
const { path, ttlSeconds, contentType, contentLength, sha256Hash } = params;
return await getSignedUrl(
this.client,
new PutObjectCommand({
Bucket: this.bucketName,
Key: path,
ContentType: contentType,
ChecksumSHA256: sha256Hash,
ContentLength: contentLength,
}),
{
expiresIn: ttlSeconds,
signableHeaders: new Set(["content-type", "content-length"]),
unhoistableHeaders: new Set(["x-amz-checksum-sha256"]),
},
);
}
}
@@ -0,0 +1,248 @@
import { ObservationLevel } from "@prisma/client";
import { OrderByState } from "../../interfaces/orderBy";
import { tracesTableUiColumnDefinitions } from "../../tableDefinitions";
import { FilterState } from "../../types";
import {
StringFilter,
StringOptionsFilter,
DateTimeFilter,
} from "../queries/clickhouse-sql/clickhouse-filter";
import {
getProjectIdDefaultFilter,
createFilterFromFilterState,
} from "../queries/clickhouse-sql/factory";
import { orderByToClickhouseSql } from "../queries/clickhouse-sql/orderby-factory";
import { clickhouseSearchCondition } from "../queries/clickhouse-sql/search";
import { convertToDomain } from "../repositories";
import { queryClickhouse } from "../repositories/clickhouse";
import { TraceRecordReadType } from "../repositories/definitions";
export type TracesTableReturnType = Pick<
TraceRecordReadType,
| "project_id"
| "id"
| "name"
| "timestamp"
| "bookmarked"
| "release"
| "version"
| "user_id"
| "session_id"
| "tags"
| "public"
> & {
level: ObservationLevel;
observation_count: number | null;
latency: string | null;
usage_details: Record<string, number>;
cost_details: Record<string, number>;
scores_avg: Array<{ name: string; avg_value: number }>;
};
export type FetchTracesTableProps = {
select: string;
projectId: string;
filter: FilterState;
searchQuery?: string;
orderBy?: OrderByState;
limit?: number;
page?: number;
};
export const getTracesTableCount = async (props: {
projectId: string;
filter: FilterState;
searchQuery?: string;
orderBy?: OrderByState;
limit?: number;
page?: number;
}) => {
const countRows = await getTracesTableGeneric<{ count: string }>({
select: "count(*) as count",
...props,
});
const converted = countRows.map((row) => ({
count: Number(row.count),
}));
return converted.length > 0 ? converted[0].count : 0;
};
export const getTracesTable = async (
projectId: string,
filter: FilterState,
searchQuery?: string,
orderBy?: OrderByState,
limit?: number,
page?: number,
) => {
const rows = await getTracesTableGeneric<TracesTableReturnType>({
select: `
t.id,
t.project_id as project_id,
t.timestamp,
t.tags,
t.bookmarked,
t.name,
t.release,
t.version,
t.user_id,
t.session_id,
os.latency_milliseconds / 1000 as latency,
os.cost_details as cost_details,
os.usage_details as usage_details,
os.level as level,
os.observation_count as observation_count,
s.scores_avg as scores_avg,
t.public`,
projectId,
filter,
searchQuery,
orderBy,
limit,
page,
});
return rows.map(convertToDomain);
};
const getTracesTableGeneric = async <T>(props: FetchTracesTableProps) => {
const { select, projectId, filter, orderBy, limit, page, searchQuery } =
props;
const { tracesFilter, scoresFilter, observationsFilter } =
getProjectIdDefaultFilter(projectId, { tracesPrefix: "t" });
tracesFilter.push(
...createFilterFromFilterState(filter, tracesTableUiColumnDefinitions),
);
const traceIdFilter = tracesFilter.find(
(f) => f.clickhouseTable === "traces" && f.field === "id",
) as StringFilter | StringOptionsFilter | undefined;
traceIdFilter
? scoresFilter.push(
new StringOptionsFilter({
clickhouseTable: "scores",
field: "trace_id",
operator: "any of",
values:
traceIdFilter instanceof StringFilter
? [traceIdFilter.value]
: traceIdFilter.values,
}),
)
: null;
traceIdFilter
? observationsFilter.push(
new StringOptionsFilter({
clickhouseTable: "observations",
field: "trace_id",
operator: "any of",
values:
traceIdFilter instanceof StringFilter
? [traceIdFilter.value]
: traceIdFilter.values,
}),
)
: null;
// for query optimisation, we have to add the timeseries filter to observations + scores as well
// stats show, that 98% of all observations have their start_time larger than trace.timestamp - 5 min
const timeStampFilter = tracesFilter.find(
(f) =>
f.field === "timestamp" && (f.operator === ">=" || f.operator === ">"),
) as DateTimeFilter | undefined;
timeStampFilter
? scoresFilter.push(
new DateTimeFilter({
clickhouseTable: "scores",
field: "timestamp",
operator: ">=",
value: timeStampFilter.value,
}),
)
: null;
timeStampFilter
? observationsFilter.push(
new DateTimeFilter({
clickhouseTable: "observations",
field: "start_time",
operator: ">=",
value: timeStampFilter.value,
}),
)
: null;
const tracesFilterRes = tracesFilter.apply();
const scoresFilterRes = scoresFilter.apply();
const observationFilterRes = observationsFilter.apply();
const search = clickhouseSearchCondition(searchQuery);
const query = `
WITH observations_stats AS (
SELECT
COUNT(*) AS observation_count,
sumMap(usage_details) as usage_details,
SUM(total_cost) AS total_cost,
date_diff('milliseconds', least(min(start_time), min(end_time)), greatest(max(start_time), max(end_time))) as latency_milliseconds,
multiIf(
arrayExists(x -> x = 'ERROR', groupArray(level)), 'ERROR',
arrayExists(x -> x = 'WARNING', groupArray(level)), 'WARNING',
arrayExists(x -> x = 'DEFAULT', groupArray(level)), 'DEFAULT',
'DEBUG'
) AS level,
sumMap(cost_details) as cost_details,
trace_id,
project_id
FROM observations FINAL
WHERE ${observationFilterRes.query}
GROUP BY trace_id, project_id
),
scores_avg AS (
SELECT
project_id,
trace_id,
groupArray(tuple(name, avg_value)) AS "scores_avg"
FROM (
SELECT project_id,
trace_id,
name,
avg(value) avg_value
FROM scores final
WHERE ${scoresFilterRes.query}
GROUP BY project_id,
trace_id,
name
) tmp
GROUP BY project_id, trace_id
)
SELECT ${select}
FROM traces t final
LEFT JOIN observations_stats os on os.project_id = t.project_id and os.trace_id = t.id
LEFT JOIN scores_avg s on s.project_id = t.project_id and s.trace_id = t.id
WHERE ${tracesFilterRes.query}
${search.query}
${orderByToClickhouseSql(orderBy ?? null, tracesTableUiColumnDefinitions)}
${limit !== undefined && page !== undefined ? `LIMIT {limit: Int32} OFFSET {offset: Int32}` : ""}
`;
const res = await queryClickhouse<T>({
query: query,
params: {
limit: limit,
offset: limit && page ? limit * page : 0,
...tracesFilterRes.params,
...observationFilterRes.params,
...scoresFilterRes.params,
...search.params,
},
});
return res;
};
@@ -69,6 +69,8 @@ export const observationsTableUiColumnDefinitions: UiColumnMapping[] = [
clickhouseTableName: "observations",
clickhouseSelect:
"if(isNull(completion_start_time), NULL, date_diff('seconds', start_time, completion_start_time))",
// If we use the default of Decimal64(12), we cannot filter for more than ~40min due to an overflow
clickhouseTypeOverwrite: "Decimal64(3)",
},
{
uiTableName: "Latency (s)",
@@ -76,6 +78,8 @@ export const observationsTableUiColumnDefinitions: UiColumnMapping[] = [
clickhouseTableName: "observations",
clickhouseSelect:
"if(isNull(end_time), NULL, date_diff('seconds', start_time, end_time))",
// If we use the default of Decimal64(12), we cannot filter for more than ~40min due to an overflow
clickhouseTypeOverwrite: "Decimal64(3)",
},
{
uiTableName: "Tokens per second",
@@ -106,27 +106,26 @@ export const tracesTableUiColumnDefinitions: UiColumnMapping[] = [
uiTableName: "Latency (s)",
uiTableId: "latency",
clickhouseTableName: "traces",
clickhouseSelect: "latency_milliseconds",
clickhouseSelect: "latency_milliseconds / 1000",
// If we use the default of Decimal64(12), we cannot filter for more than ~40min due to an overflow
clickhouseTypeOverwrite: "Decimal64(3)",
},
{
uiTableName: "Input Cost ($)",
uiTableId: "inputCost",
clickhouseTableName: "traces",
clickhouseSelect:
"if(mapExists((k, v) -> (k = 'input'), cost_details), usage_details['input'], NULL)",
clickhouseSelect: "cost_details['input']",
},
{
uiTableName: "Output Cost ($)",
uiTableId: "outputCost",
clickhouseTableName: "traces",
clickhouseSelect:
"if(mapExists((k, v) -> (k = 'output'), cost_details), usage_details['output'], NULL)",
clickhouseSelect: "cost_details['output']",
},
{
uiTableName: "Total Cost ($)",
uiTableId: "totalCost",
clickhouseTableName: "traces",
clickhouseSelect:
"if(mapExists((k, v) -> (k = 'total'), cost_details), usage_details['total'], NULL)",
clickhouseSelect: "cost_details['total']",
},
];
@@ -138,16 +138,16 @@ export const tracesTableCols: ColumnDefinition[] = [
},
];
// Used only for dataset evaluator form, not on any table
export const datasetOnlyCols: ColumnDefinition[] = [
{
name: "Dataset",
id: "datasetId",
type: "stringOptions",
internal: 'di."dataset_id"',
options: [], // to be filled in at runtime
},
];
export const datasetCol: ColumnDefinition = {
name: "Dataset",
id: "datasetId",
type: "stringOptions",
internal: 'di."dataset_id"',
options: [], // to be filled in at runtime
};
// Used only for dataset evaluator, not on dataset table
export const datasetOnlyCols: ColumnDefinition[] = [datasetCol];
export const evalTraceTableCols: ColumnDefinition[] = tracesOnlyCols;
export const evalDatasetFormFilterCols: ColumnDefinition[] = datasetOnlyCols;
@@ -3,6 +3,7 @@ export type UiColumnMapping = {
uiTableId: string;
clickhouseTableName: string;
clickhouseSelect: string;
clickhouseTypeOverwrite?: string;
queryPrefix?: string;
};
+23
View File
@@ -0,0 +1,23 @@
export function getIsCharOrUnderscore(value: string): boolean {
const charOrUnderscore = /^[A-Za-z_]+$/;
return charOrUnderscore.test(value);
}
export function extractVariables(mustacheString: string): string[] {
const mustacheRegex = /\{\{(.*?)\}\}/g;
const uniqueVariables = new Set<string>();
for (const match of mustacheString.matchAll(mustacheRegex)) {
uniqueVariables.add(match[1]);
}
for (const variable of uniqueVariables) {
// if validated fails, remove from set
if (!getIsCharOrUnderscore(variable)) {
uniqueVariables.delete(variable);
}
}
return Array.from(uniqueVariables);
}
+26
View File
@@ -0,0 +1,26 @@
diff --git a/core/lib/oauth/client.js b/core/lib/oauth/client.js
index 52c51eb6ff422dc0899ccec31baf3fa39e42eeae..bc50c35bb617d0e86b68ca42f64d44b475ba4abb 100644
--- a/core/lib/oauth/client.js
+++ b/core/lib/oauth/client.js
@@ -1,5 +1,7 @@
"use strict";
+var HttpsProxyAgent = require('https-proxy-agent').HttpsProxyAgent;
+
Object.defineProperty(exports, "__esModule", {
value: true
});
@@ -7,7 +9,12 @@ exports.openidClient = openidClient;
var _openidClient = require("openid-client");
async function openidClient(options) {
const provider = options.provider;
- if (provider.httpOptions) _openidClient.custom.setHttpOptionsDefaults(provider.httpOptions);
+ let httpOptions = {};
+ if (provider.httpOptions) httpOptions = { ...provider.httpOptions };
+ if (process.env.AUTH_HTTPS_PROXY || process.env.AUTH_HTTP_PROXY) {
+ httpOptions.agent = new HttpsProxyAgent(process.env.AUTH_HTTPS_PROXY || process.env.AUTH_HTTP_PROXY);
+ }
+ _openidClient.custom.setHttpOptionsDefaults(httpOptions);
let issuer;
if (provider.wellKnown) {
issuer = await _openidClient.Issuer.discover(provider.wellKnown);
+1777 -1121
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+1 -1
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@@ -109,7 +109,7 @@ RUN adduser --system --uid 1001 nextjs
RUN npm install -g --no-package-lock --no-save prisma@5.22.0
RUN MIGRATE_TARGET_ARCH=$(echo ${TARGETPLATFORM:-linux/amd64} | sed 's/\//-/g') && \
wget -q -O- https://github.com/golang-migrate/migrate/releases/download/v4.18.0/migrate.$MIGRATE_TARGET_ARCH.tar.gz | tar xvz && \
wget -q -O- https://github.com/golang-migrate/migrate/releases/download/v4.18.2/migrate.$MIGRATE_TARGET_ARCH.tar.gz | tar xvz && \
mv migrate /usr/bin/migrate
COPY --from=builder --chown=nextjs:nodejs /app/web/next.config.mjs .
+6 -1
View File
@@ -12,11 +12,16 @@ if [ -z "$DATABASE_URL" ]; then
echo "Error: Required database environment variables are not set. Provide a postgres url for DATABASE_URL."
exit 1
fi
if [ -n "$DATABASE_ARGS" ]; then
# Append ARGS to DATABASE_URL
DATABASE_URL="${DATABASE_URL}?$DATABASE_ARGS"
export DATABASE_URL
fi
fi
# Set DIRECT_URL to the value of DATABASE_URL if it is not set, required for migrations
if [ -z "$DIRECT_URL" ]; then
export DIRECT_URL=$DATABASE_URL
export DIRECT_URL="${DATABASE_URL}"
fi
# Always execute the postgres migration, except when disabled.
+39 -20
View File
@@ -28,6 +28,9 @@ const cspHeader = `
${env.SENTRY_CSP_REPORT_URI ? `report-uri ${env.SENTRY_CSP_REPORT_URI}; report-to csp-endpoint;` : ""}
`;
// Match rules for Hugging Face
const huggingFaceHosts = ["huggingface.co", ".*\\.hf\\.space$"];
const reportToHeader = {
key: "Report-To",
value: JSON.stringify({
@@ -78,10 +81,6 @@ const nextConfig = {
{
source: "/:path*",
headers: [
{
key: "x-frame-options",
value: "SAMEORIGIN",
},
{
key: "X-Content-Type-Options",
value: "nosniff",
@@ -97,6 +96,21 @@ const nextConfig = {
...(env.SENTRY_CSP_REPORT_URI ? [reportToHeader] : []),
],
},
{
source: "/:path*",
headers: [
{
key: "x-frame-options",
value: "SAMEORIGIN",
},
],
// Disable x-frame-options on Hugging Face to allow for embedded use of Langfuse
missing: huggingFaceHosts.map((host) => ({
type: "host",
value: host,
})),
},
// CSP header
{
source: "/:path((?!api).*)*",
headers: [
@@ -105,26 +119,31 @@ const nextConfig = {
value: cspHeader.replace(/\n/g, ""),
},
],
// Disable CSP on Hugging Face to allow for embedded use of Langfuse
missing: huggingFaceHosts.map((host) => ({
type: "host",
value: host,
})),
},
// Required to check authentication status from langfuse.com
...(env.NEXT_PUBLIC_LANGFUSE_CLOUD_REGION !== undefined
? [
{
source: "/api/auth/session",
headers: [
{
key: "Access-Control-Allow-Origin",
value: "https://langfuse.com",
},
{ key: "Access-Control-Allow-Credentials", value: "true" },
{ key: "Access-Control-Allow-Methods", value: "GET,POST" },
{
key: "Access-Control-Allow-Headers",
value: "Content-Type, Authorization",
},
],
},
]
{
source: "/api/auth/session",
headers: [
{
key: "Access-Control-Allow-Origin",
value: "https://langfuse.com",
},
{ key: "Access-Control-Allow-Credentials", value: "true" },
{ key: "Access-Control-Allow-Methods", value: "GET,POST" },
{
key: "Access-Control-Allow-Headers",
value: "Content-Type, Authorization",
},
],
},
]
: []),
// all files in /public/generated are public and can be accessed from any origin, e.g. to render an API reference based on our openapi schema
{
+11 -10
View File
@@ -1,6 +1,6 @@
{
"name": "web",
"version": "2.91.0",
"version": "2.95.1",
"private": true,
"license": "MIT",
"engines": {
@@ -35,9 +35,9 @@
"@headlessui/tailwindcss": "0.2.1",
"@heroicons/react": "^2.1.5",
"@hookform/resolvers": "^3.3.4",
"@langchain/anthropic": "^0.3.1",
"@langchain/core": "^0.3.9",
"@langchain/openai": "^0.3.0",
"@langchain/anthropic": "^0.3.8",
"@langchain/core": "^0.3.18",
"@langchain/openai": "^0.3.14",
"@langfuse/ee": "workspace:*",
"@langfuse/shared": "workspace:*",
"@marsidev/react-turnstile": "^0.5.4",
@@ -83,7 +83,7 @@
"@remixicon/react": "^4.2.0",
"@repo/eslint-config": "workspace:*",
"@repo/typescript-config": "workspace:*",
"@sentry/nextjs": "^8.33.1",
"@sentry/nextjs": "^8.52.0",
"@t3-oss/env-nextjs": "^0.11.1",
"@tailwindcss/container-queries": "^0.1.1",
"@tanstack/react-query": "^4.36.1",
@@ -107,17 +107,18 @@
"date-fns": "^3.3.1",
"dd-trace": "^5.23.1",
"decimal.js": "^10.4.3",
"dompurify": "^3.1.5",
"dompurify": "^3.2.4",
"graphql": "^16.9.0",
"https-proxy-agent": "^7.0.6",
"ioredis": "^5.4.1",
"ip-address": "^9.0.5",
"js-tiktoken": "^1.0.15",
"kysely": "^0.27.4",
"langchain": "^0.3.2",
"langchain": "^0.3.6",
"lodash": "^4.17.21",
"lucide-react": "^0.447.0",
"next": "^14.2.15",
"next-auth": "^4.24.7",
"next": "^14.2.21",
"next-auth": "^4.24.11",
"next-query-params": "^5.0.1",
"next-themes": "^0.3.0",
"posthog-js": "^1.176.0",
@@ -192,7 +193,7 @@
},
"pnpm": {
"overrides": {
"jsonpath-plus": "10.0.0"
"jsonpath-plus": "10.0.7"
}
}
}
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+70 -51
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@@ -1,6 +1,10 @@
import { v4 } from "uuid";
import { JobExecutionStatus, Prisma, prisma } from "@langfuse/shared/src/db";
import { OrgEnrichedApiKey, redis } from "@langfuse/shared/src/server";
import {
clickhouseClient,
OrgEnrichedApiKey,
redis,
} from "@langfuse/shared/src/server";
import waitForExpect from "wait-for-expect";
const generateAuth = (username: string, password: string) => {
@@ -86,70 +90,85 @@ describe("Ingestion Pipeline", () => {
body: JSON.stringify(event),
});
await waitForExpect(async () => {
// we need a second call to the public API with the API key, so that it is stored in redis
// first call (ingestion above) generates the new, fast API hash
// second call (below) stores the API key in redis
const traceUrl = `http://localhost:3000/api/public/traces/${traceId}`;
await waitForExpect(
async () => {
// we need a second call to the public API with the API key, so that it is stored in redis
// first call (ingestion above) generates the new, fast API hash
// second call (below) stores the API key in redis
const traceUrl = `http://localhost:3000/api/public/traces/${traceId}`;
const traceResponse = await fetch(traceUrl, {
headers: {
Authorization: userApiKeyAuth,
},
});
const traceResponse = await fetch(traceUrl, {
headers: {
Authorization: userApiKeyAuth,
},
});
expect(traceResponse.status).toBe(200);
expect(traceResponse.body).not.toBeNull();
expect((await traceResponse.json()).id).toBe(traceId);
const traces = await clickhouseClient().query({
query: "SELECT * FROM traces",
format: "JSONEachRow",
});
console.log("traces", await traces.text());
expect(traceResponse.status).toBe(200);
expect(traceResponse.body).not.toBeNull();
expect((await traceResponse.json()).id).toBe(traceId);
const trace = await prisma.trace.findUnique({
where: {
id: traceId,
},
});
expect(trace).not.toBeNull();
expect(trace?.name).toBe("test trace");
const trace = await prisma.trace.findUnique({
where: {
id: traceId,
},
});
expect(trace).not.toBeNull();
expect(trace?.name).toBe("test trace");
const observation = await prisma.observation.findUnique({
where: {
id: spanId,
traceId: traceId,
},
});
expect(observation).not.toBeNull();
expect(observation?.name).toBe("test span");
const observation = await prisma.observation.findUnique({
where: {
id: spanId,
traceId: traceId,
},
});
expect(observation).not.toBeNull();
expect(observation?.name).toBe("test span");
expect(redis).not.toBeNull();
expect(redis).not.toBeNull();
const redisKeys = await redis?.keys(`api-key:*`);
expect(redisKeys?.length).toBe(1);
const redisValue = await redis?.get(redisKeys![0]);
const redisKeys = await redis?.keys(`api-key:*`);
expect(redisKeys?.length).toBe(1);
const redisValue = await redis?.get(redisKeys![0]);
const llmApiKey = OrgEnrichedApiKey.parse(JSON.parse(redisValue!));
expect(llmApiKey.projectId).toBe("7a88fb47-b4e2-43b8-a06c-a5ce950dc53a");
});
const llmApiKey = OrgEnrichedApiKey.parse(JSON.parse(redisValue!));
expect(llmApiKey.projectId).toBe(
"7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
);
},
40000,
1000,
);
// check for eval
await waitForExpect(async () => {
const evalExecution = await prisma.jobExecution.findFirst({
where: {
jobInputTraceId: traceId,
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
},
});
await waitForExpect(
async () => {
const evalExecution = await prisma.jobExecution.findFirst({
where: {
jobInputTraceId: traceId,
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
},
});
expect(evalExecution).not.toBeNull();
expect(evalExecution).not.toBeNull();
if (!evalExecution) {
return;
}
if (!evalExecution) {
return;
}
// failure due to missing openai key in the pipeline. Expected
expect(evalExecution.status).toBe(JobExecutionStatus.ERROR);
}, 20000);
// failure due to missing openai key in the pipeline. Expected
expect(evalExecution.status).toBe(JobExecutionStatus.ERROR);
},
50000,
10000,
);
expect(response.status).toBe(207);
}, 25000);
}, 60000);
it("rate limit ingestion", async () => {
// update the org in the database and set the rate limit to 1 for ingestion
@@ -0,0 +1,602 @@
import {
createObservations,
createScores,
createTraces,
} from "@/src/__tests__/server/repositories/clickhouse-helpers";
import { v4 } from "uuid";
import { prisma } from "@langfuse/shared/src/db";
import {
createObservation,
createScore,
createTrace,
} from "@/src/__tests__/fixtures/tracing-factory";
import {
createDatasetRunsTable,
fetchDatasetItems,
getRunItemsByRunIdOrItemId,
} from "@/src/features/datasets/server/service";
const projectId = "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a";
describe("Fetch datasets for UI presentation", () => {
it("should fetch dataset runs for UI", async () => {
const datasetId = v4();
await prisma.dataset.create({
data: {
id: datasetId,
name: v4(),
projectId: projectId,
},
});
const datasetRunId = v4();
const datasetRun2Id = v4();
await prisma.datasetRuns.create({
data: {
id: datasetRunId,
name: v4(),
datasetId,
metadata: {},
projectId,
},
});
await prisma.datasetRuns.create({
data: {
id: datasetRun2Id,
name: v4(),
datasetId,
metadata: {},
projectId,
},
});
const datasetItemId = v4();
await prisma.datasetItem.create({
data: {
id: datasetItemId,
datasetId,
metadata: {},
projectId,
},
});
const datasetRunItemId = v4();
const datasetRunItemId2 = v4();
const datasetRunItemId3 = v4();
const datasetRunItemId4 = v4();
const observationId = v4();
const traceId = v4();
const traceId2 = v4();
const traceId3 = v4();
const traceId4 = v4();
const scoreId = v4();
const scoreId2 = v4();
const scoreId3 = v4();
const scoreName = v4();
await prisma.datasetRunItems.create({
data: {
id: datasetRunItemId,
datasetRunId: datasetRunId,
observationId: observationId,
traceId: traceId,
projectId,
datasetItemId,
},
});
await prisma.datasetRunItems.create({
data: {
id: datasetRunItemId2,
datasetRunId: datasetRunId,
traceId: traceId2,
projectId,
datasetItemId,
},
});
await prisma.datasetRunItems.create({
data: {
id: datasetRunItemId3,
datasetRunId: datasetRunId,
traceId: traceId3,
projectId,
datasetItemId,
},
});
// linked to the second run
await prisma.datasetRunItems.create({
data: {
id: datasetRunItemId4,
datasetRunId: datasetRun2Id,
observationId: null,
traceId: traceId4,
projectId,
datasetItemId,
},
});
const observation = createObservation({
id: observationId,
trace_id: traceId,
project_id: projectId,
start_time: new Date().getTime() - 1000 * 60 * 60, // minus 1 min
end_time: new Date().getTime(),
});
const observation2 = createObservation({
trace_id: traceId2,
project_id: projectId,
start_time: new Date().getTime() - 1000 * 60 * 60, // minus 1 min
end_time: new Date().getTime(),
});
const observation3 = createObservation({
trace_id: traceId2,
project_id: projectId,
start_time: new Date().getTime() - 1000 * 60 * 30,
end_time: new Date().getTime(),
total_cost: 200,
});
const observation4 = createObservation({
trace_id: traceId3,
project_id: projectId,
start_time: new Date().getTime() - 1000 * 60 * 300,
end_time: new Date().getTime(),
total_cost: 50,
});
const observation5 = createObservation({
trace_id: traceId4,
project_id: projectId,
start_time: new Date().getTime() - 1000,
end_time: new Date().getTime(),
});
await createObservations([
observation,
observation2,
observation3,
observation4,
observation5,
]);
const score = createScore({
id: scoreId,
observation_id: observationId,
trace_id: traceId,
project_id: projectId,
name: scoreName,
});
const score2 = createScore({
id: scoreId2,
observation_id: null,
trace_id: traceId,
project_id: projectId,
name: scoreName,
value: 1,
comment: "some other comment",
});
const observationId2 = v4(); // this one is not related to a run
const anotherScoreName = v4();
const score3 = createScore({
id: scoreId3,
observation_id: observationId2,
trace_id: traceId,
project_id: projectId,
name: anotherScoreName,
value: 1,
comment: "some other comment for non run related score",
});
await createScores([score, score2, score3]);
const runs = await createDatasetRunsTable({
projectId,
datasetId,
queryClickhouse: false,
page: 0,
limit: 10,
});
console.log("runs", JSON.stringify(runs));
expect(runs).toHaveLength(2);
const firstRun = runs.find((run) => run.run_id === datasetRunId);
expect(firstRun).toBeDefined();
if (!firstRun) {
throw new Error("first run is not defined");
}
expect(firstRun.run_id).toEqual(datasetRunId);
expect(firstRun.run_description).toBeNull();
expect(firstRun.run_metadata).toEqual({});
expect(firstRun.avgLatency).toBeGreaterThanOrEqual(10800);
expect(firstRun.avgTotalCost.toString()).toStrictEqual("275");
const expectedObject = {
[`${scoreName.replaceAll("-", "_")}-API-NUMERIC`]: {
type: "NUMERIC",
values: expect.arrayContaining([1, 100.5]),
average: 50.75,
},
[`${anotherScoreName.replaceAll("-", "_")}-API-NUMERIC`]: {
type: "NUMERIC",
values: expect.arrayContaining([1]),
average: 1,
comment: "some other comment for non run related score",
},
};
expect(firstRun.scores).toEqual(expectedObject);
const secondRun = runs.find((run) => run.run_id === datasetRun2Id);
expect(secondRun).toBeDefined();
if (!secondRun) {
throw new Error("second run is not defined");
}
expect(secondRun.run_id).toEqual(datasetRun2Id);
expect(secondRun.run_description).toBeNull();
expect(secondRun.run_metadata).toEqual({});
expect(secondRun.avgLatency).toEqual(1);
expect(secondRun.avgTotalCost.toString()).toStrictEqual("300");
expect(JSON.stringify(secondRun.scores)).toEqual(JSON.stringify({}));
});
it("should fetch dataset run items for UI", async () => {
const datasetId = v4();
await prisma.dataset.create({
data: {
id: datasetId,
name: v4(),
projectId: projectId,
},
});
const datasetRunId = v4();
await prisma.datasetRuns.create({
data: {
id: datasetRunId,
name: v4(),
datasetId,
metadata: {},
projectId,
},
});
const datasetItemId = v4();
await prisma.datasetItem.create({
data: {
id: datasetItemId,
datasetId,
metadata: {},
projectId,
},
});
const datasetRunItemId = v4();
const traceId = v4();
await prisma.datasetRunItems.create({
data: {
id: datasetRunItemId,
datasetRunId: datasetRunId,
traceId: traceId,
projectId,
datasetItemId,
},
});
const traceId2 = v4();
const observationId = v4();
const datasetRunItemId2 = v4();
await prisma.datasetRunItems.create({
data: {
id: datasetRunItemId2,
datasetRunId: datasetRunId,
traceId: traceId2,
projectId,
datasetItemId,
observationId,
},
});
const trace1 = createTrace({
id: traceId,
project_id: projectId,
});
const trace2 = createTrace({
id: traceId2,
project_id: projectId,
});
await createTraces([trace1, trace2]);
const observation = createObservation({
id: observationId,
trace_id: traceId2,
project_id: projectId,
start_time: new Date().getTime() - 1000 * 60 * 60, // minus 1 min
end_time: new Date().getTime(),
});
const observation2 = createObservation({
trace_id: traceId,
});
await createObservations([observation]);
const score = createScore({
observation_id: observation2.id,
trace_id: traceId2,
project_id: projectId,
});
await createScores([score]);
const runs = await getRunItemsByRunIdOrItemId(
projectId,
// fetch directly from the db to have realistic data.
await prisma.datasetRunItems.findMany({
where: {
id: {
in: [datasetRunItemId, datasetRunItemId2],
},
},
}),
);
expect(runs).toHaveLength(2);
const firstRun = runs.find((run) => run.id === datasetRunItemId);
expect(firstRun).toBeDefined();
if (!firstRun) {
throw new Error("first run is not defined");
}
expect(firstRun.id).toEqual(datasetRunItemId);
expect(firstRun.datasetItemId).toEqual(datasetItemId);
expect(firstRun.observation).toBeUndefined();
expect(firstRun.trace).toBeDefined();
expect(firstRun.trace?.id).toEqual(traceId);
const secondRun = runs.find((run) => run.id === datasetRunItemId2);
expect(secondRun).toBeDefined();
if (!secondRun) {
throw new Error("secondRun is not defined");
}
expect(secondRun.id).toEqual(datasetRunItemId2);
expect(secondRun.datasetItemId).toEqual(datasetItemId);
expect(secondRun.trace?.id).toEqual(traceId2);
expect(secondRun.observation?.id).toEqual(observationId);
const expectedObject = {
[`${score.name.replaceAll("-", "_")}-API-NUMERIC`]: {
type: "NUMERIC",
values: expect.arrayContaining([100.5]),
average: 100.5,
comment: "comment",
},
};
expect(secondRun.scores).toEqual(expectedObject);
});
it("should fetch dataset run items for UI with missing tracing data", async () => {
const datasetId = v4();
await prisma.dataset.create({
data: {
id: datasetId,
name: v4(),
projectId: projectId,
},
});
const datasetRunId = v4();
await prisma.datasetRuns.create({
data: {
id: datasetRunId,
name: v4(),
datasetId,
metadata: {},
projectId,
},
});
const datasetItemId = v4();
await prisma.datasetItem.create({
data: {
id: datasetItemId,
datasetId,
metadata: {},
projectId,
},
});
const datasetRunItemId = v4();
const traceId = v4();
await prisma.datasetRunItems.create({
data: {
id: datasetRunItemId,
datasetRunId: datasetRunId,
traceId: traceId,
projectId,
datasetItemId,
},
});
const traceId2 = v4();
const observationId = v4();
const datasetRunItemId2 = v4();
await prisma.datasetRunItems.create({
data: {
id: datasetRunItemId2,
datasetRunId: datasetRunId,
traceId: traceId2,
projectId,
datasetItemId,
observationId,
},
});
const runs = await getRunItemsByRunIdOrItemId(
projectId,
// fetch directly from the db to have realistic data.
await prisma.datasetRunItems.findMany({
where: {
id: {
in: [datasetRunItemId, datasetRunItemId2],
},
},
}),
);
expect(runs).toHaveLength(2);
const firstRun = runs.find((run) => run.id === datasetRunItemId);
expect(firstRun).toBeDefined();
if (!firstRun) {
throw new Error("first run is not defined");
}
expect(firstRun.id).toEqual(datasetRunItemId);
expect(firstRun.datasetItemId).toEqual(datasetItemId);
expect(firstRun.observation).toBeUndefined();
expect(firstRun.trace).toBeDefined();
expect(firstRun.trace?.id).toEqual(traceId);
const secondRun = runs.find((run) => run.id === datasetRunItemId2);
expect(secondRun).toBeDefined();
if (!secondRun) {
throw new Error("secondRun is not defined");
}
expect(secondRun.id).toEqual(datasetRunItemId2);
expect(secondRun.datasetItemId).toEqual(datasetItemId);
expect(secondRun.trace?.id).toEqual(traceId2);
expect(secondRun.observation?.id).toEqual(observationId);
});
it("should fetch dataset items correctly", async () => {
// Create test data in the database
const datasetId = v4();
await prisma.dataset.create({
data: {
id: datasetId,
name: v4(),
projectId: projectId,
},
});
const traceId1 = v4();
const traceId2 = v4();
const observationId2 = v4();
const datasetItemId = v4();
await prisma.datasetItem.create({
data: {
id: datasetItemId,
datasetId,
metadata: {},
projectId,
sourceTraceId: traceId1,
},
});
const datasetItemId2 = v4();
await prisma.datasetItem.create({
data: {
id: datasetItemId2,
datasetId,
metadata: {},
projectId,
sourceTraceId: traceId2,
sourceObservationId: observationId2,
},
});
const datasetItemId3 = v4();
await prisma.datasetItem.create({
data: {
id: datasetItemId3,
datasetId,
metadata: {},
projectId,
},
});
const observation = createObservation({
id: observationId2,
trace_id: traceId2,
project_id: projectId,
start_time: new Date().getTime() - 1000 * 60 * 60, // minus 1 min
end_time: new Date().getTime(),
});
await createObservations([observation]);
const trace1 = createTrace({
id: traceId1,
project_id: projectId,
});
const trace2 = createTrace({
id: traceId2,
project_id: projectId,
});
await createTraces([trace1, trace2]);
const input = {
projectId: projectId,
datasetId: datasetId,
limit: 10,
page: 0,
prisma: prisma,
};
const result = await fetchDatasetItems(input);
expect(result.totalDatasetItems).toEqual(3);
expect(result.datasetItems).toHaveLength(3);
const firstDatasetItem = result.datasetItems.find(
(item) => item.id === datasetItemId,
);
expect(firstDatasetItem).toBeDefined();
if (!firstDatasetItem) {
throw new Error("firstDatasetItem is not defined");
}
expect(firstDatasetItem.sourceTraceId).toEqual(traceId1);
expect(firstDatasetItem.sourceObservationId).toBeNull();
const secondDatasetItem = result.datasetItems.find(
(item) => item.id === datasetItemId2,
);
expect(secondDatasetItem).toBeDefined();
if (!secondDatasetItem) {
throw new Error("secondDatasetItem is not defined");
}
expect(secondDatasetItem.sourceTraceId).toEqual(traceId2);
expect(secondDatasetItem.sourceObservationId).toEqual(observationId2);
const thirdDatasetItem = result.datasetItems.find(
(item) => item.id === datasetItemId3,
);
expect(thirdDatasetItem).toBeDefined();
if (!thirdDatasetItem) {
throw new Error("thirdDatasetItem is not defined");
}
expect(thirdDatasetItem.sourceTraceId).toBeNull();
expect(thirdDatasetItem.sourceObservationId).toBeNull();
});
});
@@ -0,0 +1,253 @@
import { createObservation as createObservationObject } from "@/src/__tests__/fixtures/tracing-factory";
import { createObservations as createObservationsInClickhouse } from "@/src/__tests__/server/repositories/clickhouse-helpers";
import { makeZodVerifiedAPICall } from "@/src/__tests__/test-utils";
import { GetObservationV1Response } from "@/src/features/public-api/types/observations";
import { v4 } from "uuid";
import { v4 as uuidv4 } from "uuid";
import { GetObservationsV1Response } from "@/src/features/public-api/types/observations";
const projectId = "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a";
describe("/api/public/observations API Endpoint", () => {
describe("GET /api/public/observations/:id", () => {
it("should GET an observation", async () => {
const observationId = v4();
const traceId = v4();
const observation = createObservationObject({
id: observationId,
project_id: projectId,
trace_id: traceId,
internal_model_id: "b9854a5c92dc496b997d99d21",
provided_model_name: "gpt-4o-2024-05-13",
input: "input",
output: "output",
});
await createObservationsInClickhouse([observation]);
const getEventRes = await makeZodVerifiedAPICall(
GetObservationV1Response,
"GET",
"/api/public/observations/" + observationId,
);
expect(getEventRes.body).toMatchObject({
id: observationId,
traceId: traceId,
type: observation.type,
modelId: observation.internal_model_id,
inputPrice: 0.000005,
input: observation.input,
output: observation.output,
});
});
});
});
describe("/api/public/observations API Endpoint", () => {
it("should fetch all observations", async () => {
const traceId = uuidv4();
const observation = createObservationObject({
id: uuidv4(),
trace_id: traceId,
project_id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
internal_model_id: "clrkwk4cb000408l576jl7koo",
provided_model_name: "gpt-3.5-turbo",
input: JSON.stringify({ key: "input" }),
output: JSON.stringify({ key: "output" }),
usage_details: {
input: 10,
output: 20,
total: 30,
},
version: "2.0.0",
type: "GENERATION",
});
await createObservationsInClickhouse([observation]);
const fetchedObservations = await makeZodVerifiedAPICall(
GetObservationsV1Response,
"GET",
"/api/public/observations?traceId=" + traceId,
undefined,
);
expect(fetchedObservations.status).toBe(200);
expect(fetchedObservations.body.data.length).toBe(1);
expect(fetchedObservations.body.data[0]?.traceId).toBe(traceId);
expect(fetchedObservations.body.data[0]?.input).toEqual({ key: "input" });
expect(fetchedObservations.body.data[0]?.output).toEqual({ key: "output" });
expect(fetchedObservations.body.data[0]?.model).toEqual("gpt-3.5-turbo");
expect(fetchedObservations.body.data[0]?.modelId).toEqual(
"clrkwk4cb000408l576jl7koo",
);
expect(
fetchedObservations.body.data[0]?.calculatedInputCost,
).toBeGreaterThan(0);
expect(
fetchedObservations.body.data[0]?.calculatedOutputCost,
).toBeGreaterThan(0);
expect(
fetchedObservations.body.data[0]?.calculatedTotalCost,
).toBeGreaterThan(0);
});
it("should fetch all observations, filtered by generations", async () => {
const traceId = uuidv4();
const generationObservation = createObservationObject({
id: uuidv4(),
trace_id: traceId,
project_id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
internal_model_id: "model-1",
provided_model_name: "gpt-3.5-turbo",
input: JSON.stringify({ key: "input" }),
output: JSON.stringify({ key: "output" }),
usage_details: {
input: 10,
output: 20,
total: 30,
},
version: "2.0.0",
type: "GENERATION",
});
const spanObservation = createObservationObject({
id: uuidv4(),
trace_id: traceId,
project_id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
input: JSON.stringify({ key: "input" }),
output: JSON.stringify({ key: "output" }),
version: "2.0.0",
type: "SPAN",
});
await createObservationsInClickhouse([
generationObservation,
spanObservation,
]);
const fetchedObservations = await makeZodVerifiedAPICall(
GetObservationsV1Response,
"GET",
"/api/public/observations?type=GENERATION&traceId=" + traceId,
undefined,
);
console.log(fetchedObservations.body);
expect(fetchedObservations.status).toBe(200);
expect(fetchedObservations.body.data.length).toBe(1);
expect(fetchedObservations.body.data[0]?.traceId).toBe(traceId);
expect(fetchedObservations.body.data[0]?.input).toEqual({ key: "input" });
expect(fetchedObservations.body.data[0]?.output).toEqual({ key: "output" });
expect(fetchedObservations.body.data[0]?.type).toEqual("GENERATION");
});
it("GET /observations with timestamp filters and pagination", async () => {
const traceId = v4();
const obs1 = createObservationObject({
id: "observation-2021-01-01",
trace_id: traceId,
name: "generation-name",
start_time: new Date("2021-01-01T00:00:00.000Z").getTime(),
end_time: new Date("2021-01-01T00:00:00.000Z").getTime(),
project_id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
type: "GENERATION",
});
const obs2 = createObservationObject({
id: "observation-2021-02-01",
trace_id: traceId,
name: "generation-name",
start_time: new Date("2021-02-01T00:00:00.000Z").getTime(),
end_time: new Date("2021-02-01T00:00:00.000Z").getTime(),
project_id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
type: "SPAN",
});
const obs3 = createObservationObject({
id: "observation-2021-03-01",
trace_id: traceId,
name: "generation-name",
start_time: new Date("2021-03-01T00:00:00.000Z").getTime(),
project_id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
type: "EVENT",
});
const obs4 = createObservationObject({
id: "observation-2021-04-01",
trace_id: traceId,
name: "generation-name",
start_time: new Date("2021-04-01T00:00:00.000Z").getTime(),
end_time: new Date("2021-04-01T00:00:00.000Z").getTime(),
project_id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
type: "GENERATION",
});
await createObservationsInClickhouse([obs1, obs2, obs3, obs4]);
const fromTimestamp = "2021-02-01T00:00:00.000Z";
const toTimestamp = "2021-04-01T00:00:00.000Z";
// Test with both fromTimestamp and toTimestamp
let fetchedObservations = await makeZodVerifiedAPICall(
GetObservationsV1Response,
"GET",
`/api/public/observations?fromStartTime=${fromTimestamp}&toStartTime=${toTimestamp}&traceId=${traceId}`,
undefined,
);
expect(fetchedObservations.body.data.length).toBe(2);
expect(fetchedObservations.body.data[0]?.id).toBe("observation-2021-03-01");
expect(fetchedObservations.body.data[1]?.id).toBe("observation-2021-02-01");
expect(fetchedObservations.body.meta.totalItems).toBe(2);
// Test with only fromTimestamp
fetchedObservations = await makeZodVerifiedAPICall(
GetObservationsV1Response,
"GET",
`/api/public/observations?fromStartTime=${fromTimestamp}&traceId=${traceId}`,
undefined,
);
expect(fetchedObservations.body.data.length).toBe(3);
expect(fetchedObservations.body.data[0]?.id).toBe("observation-2021-04-01");
expect(fetchedObservations.body.data[1]?.id).toBe("observation-2021-03-01");
expect(fetchedObservations.body.data[2]?.id).toBe("observation-2021-02-01");
expect(fetchedObservations.body.meta.totalItems).toBe(3);
// Test with only toTimestamp
fetchedObservations = await makeZodVerifiedAPICall(
GetObservationsV1Response,
"GET",
`/api/public/observations?toStartTime=${toTimestamp}&traceId=${traceId}`,
undefined,
);
expect(fetchedObservations.body.data.length).toBe(3);
expect(fetchedObservations.body.data[0]?.id).toBe("observation-2021-03-01");
expect(fetchedObservations.body.data[1]?.id).toBe("observation-2021-02-01");
expect(fetchedObservations.body.data[2]?.id).toBe("observation-2021-01-01");
expect(fetchedObservations.body.meta.totalItems).toBe(3);
// test pagination only
fetchedObservations = await makeZodVerifiedAPICall(
GetObservationsV1Response,
"GET",
`/api/public/observations?limit=1&page=2&traceId=${traceId}`,
undefined,
);
expect(fetchedObservations.body.data.length).toBe(1);
expect(fetchedObservations.body.data[0]?.id).toBe("observation-2021-03-01");
expect(fetchedObservations.body.meta).toMatchObject({
totalItems: 4,
totalPages: 4,
page: 2,
limit: 1,
});
});
});
@@ -1,13 +1,27 @@
import { createScores } from "@/src/__tests__/server/repositories/clickhouse-helpers";
import { makeZodVerifiedAPICall } from "@/src/__tests__/test-utils";
import { GetScoreResponse } from "@langfuse/shared";
import {
createObservation,
createScore,
createTrace,
} from "@/src/__tests__/fixtures/tracing-factory";
import {
createObservations,
createScores,
createTraces,
} from "@/src/__tests__/server/repositories/clickhouse-helpers";
import {
createOrgProjectAndApiKey,
makeZodVerifiedAPICall,
} from "@/src/__tests__/test-utils";
import { GetScoreResponse, GetScoresResponse } from "@langfuse/shared";
import { prisma } from "@langfuse/shared/src/db";
import { v4 } from "uuid";
const projectId = "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a";
import { z } from "zod";
describe("/api/public/scores API Endpoint", () => {
describe("GET /api/public/scores/:scoreId", () => {
it("should GET a score", async () => {
const { projectId: projectId, auth } = await createOrgProjectAndApiKey();
const scoreId = v4();
const traceId = v4();
const score = {
@@ -33,6 +47,8 @@ describe("/api/public/scores API Endpoint", () => {
GetScoreResponse,
"GET",
`/api/public/scores/${scoreId}`,
undefined,
auth,
);
expect(getScore.status).toBe(200);
@@ -49,3 +65,653 @@ describe("/api/public/scores API Endpoint", () => {
});
});
});
describe("/api/public/scores API Endpoint", () => {
it("should create score for a trace", async () => {
const traceId = v4();
const { projectId: projectId, auth } = await createOrgProjectAndApiKey();
const trace = createTrace({
id: traceId,
project_id: projectId,
});
await createTraces([trace]);
const scoreId = v4();
const score = createScore({
id: scoreId,
project_id: projectId,
trace_id: traceId,
name: "score-name",
value: 100.5,
source: "API",
comment: "comment",
observation_id: null,
});
await createScores([score]);
const fetchedScore = await makeZodVerifiedAPICall(
GetScoreResponse,
"GET",
`/api/public/scores/${scoreId}`,
undefined,
auth,
);
expect(fetchedScore.body?.id).toBe(scoreId);
expect(fetchedScore.body?.traceId).toBe(traceId);
expect(fetchedScore.body?.name).toBe("score-name");
expect(fetchedScore.body?.value).toBe(100.5);
expect(fetchedScore.body?.observationId).toBeNull();
expect(fetchedScore.body?.comment).toBe("comment");
expect(fetchedScore.body?.source).toBe("API");
expect(fetchedScore.body?.projectId).toBe(projectId);
});
it("should GET score with minimal score data and minimal trace data", async () => {
const { projectId, auth } = await createOrgProjectAndApiKey();
const minimalTraceId = v4();
const trace = createTrace({
id: minimalTraceId,
project_id: projectId,
});
await createTraces([trace]);
const minimalScoreId = v4();
const score = createScore({
id: minimalScoreId,
project_id: projectId,
trace_id: minimalTraceId,
name: "score-name",
value: 100.5,
source: "API",
comment: null,
observation_id: null,
});
await createScores([score]);
const fetchedScore = await makeZodVerifiedAPICall(
GetScoreResponse,
"GET",
`/api/public/scores/${minimalScoreId}`,
undefined,
auth,
);
expect(fetchedScore.status).toBe(200);
});
describe("should Filter scores", () => {
let configId = "";
const userId = "user-name";
const traceTags = ["prod", "test"];
const traceTags_2 = ["staging", "dev"];
const scoreName = "score-name";
const queryUserName = `userId=${userId}&name=${scoreName}`;
const traceId = v4();
const traceId_2 = v4();
const traceId_3 = v4();
const generationId = v4();
const scoreId_1 = v4();
const scoreId_2 = v4();
const scoreId_3 = v4();
const scoreId_4 = v4();
const scoreId_5 = v4();
let authentication: string;
let newProjectId: string;
beforeEach(async () => {
const { projectId, auth } = await createOrgProjectAndApiKey();
authentication = auth;
newProjectId = projectId;
const trace = createTrace({
id: traceId,
project_id: newProjectId,
user_id: userId,
tags: traceTags,
});
const trace_2 = createTrace({
id: traceId_2,
project_id: newProjectId,
user_id: userId,
tags: traceTags_2,
});
const trace_3 = createTrace({
id: traceId_3,
project_id: newProjectId,
user_id: userId,
tags: ["staging"],
});
await createTraces([trace, trace_2, trace_3]);
const generation = createObservation({
id: generationId,
project_id: newProjectId,
type: "GENERATION",
});
await createObservations([generation]);
const config = await prisma.scoreConfig.create({
data: {
name: scoreName,
dataType: "NUMERIC",
maxValue: 100,
projectId: newProjectId,
},
});
configId = config.id;
const score1 = createScore({
id: scoreId_1,
project_id: newProjectId,
trace_id: traceId,
name: scoreName,
value: 10.5,
data_type: "NUMERIC",
observation_id: generationId,
config_id: config.id,
comment: "comment",
});
const score2 = createScore({
id: scoreId_2,
project_id: newProjectId,
trace_id: traceId,
name: scoreName,
value: 50.5,
data_type: "NUMERIC",
observation_id: generationId,
comment: "comment",
});
const score3 = createScore({
id: scoreId_3,
project_id: newProjectId,
trace_id: traceId,
name: scoreName,
value: 100.8,
data_type: "NUMERIC",
observation_id: generationId,
comment: "comment",
});
const score4 = createScore({
id: scoreId_4,
project_id: newProjectId,
trace_id: traceId_2,
name: "other-score-name",
value: 0,
string_value: "best",
data_type: "CATEGORICAL",
comment: "comment",
});
const score5 = createScore({
id: scoreId_5,
project_id: newProjectId,
trace_id: traceId_3,
name: "other-score-name",
value: 0,
data_type: "CATEGORICAL",
string_value: "test",
comment: "comment",
});
await createScores([score1, score2, score3, score4, score5]);
});
it("get all scores", async () => {
const getAllScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}`,
undefined,
authentication,
);
expect(getAllScore.status).toBe(200);
expect(getAllScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 3,
totalPages: 1,
});
for (const val of getAllScore.body.data) {
expect(val).toMatchObject({
traceId: traceId,
observationId: generationId,
});
}
});
it("get all scores for config", async () => {
const getAllScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?configId=${configId}`,
undefined,
authentication,
);
expect(getAllScore.status).toBe(200);
expect(getAllScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 1,
totalPages: 1,
});
for (const val of getAllScore.body.data) {
expect(val).toMatchObject({
traceId: traceId,
observationId: generationId,
configId: configId,
});
}
});
it("get all scores for numeric data type", async () => {
const getAllScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?dataType=NUMERIC`,
undefined,
authentication,
);
expect(getAllScore.status).toBe(200);
expect(getAllScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 3,
totalPages: 1,
});
for (const val of getAllScore.body.data) {
expect(val).toMatchObject({
traceId: traceId,
observationId: generationId,
dataType: "NUMERIC",
});
}
});
it("get all scores for trace tag 'prod'", async () => {
const getAllScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?traceTags=prod`,
undefined,
authentication,
);
expect(getAllScore.status).toBe(200);
expect(getAllScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 3,
totalPages: 1,
});
for (const val of getAllScore.body.data) {
expect(val).toMatchObject({
traceId: traceId,
trace: { tags: ["prod", "test"], userId: "user-name" },
});
}
});
it("get all scores for trace tags 'staging' and 'dev'", async () => {
const getAllScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?traceTags=${["staging", "dev"]}`,
undefined,
authentication,
);
expect(getAllScore.status).toBe(200);
expect(getAllScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 1,
totalPages: 1,
});
for (const val of getAllScore.body.data) {
expect(val).toMatchObject({
traceId: traceId_2,
trace: {
tags: expect.arrayContaining(["dev", "staging"]),
userId: "user-name",
},
});
}
});
describe("should Filter scores by queueId", () => {
describe("queueId filtering", () => {
let queueId: string;
beforeEach(async () => {
queueId = v4();
const score = createScore({
id: v4(),
project_id: newProjectId,
trace_id: traceId,
name: "score-name",
value: 100.5,
source: "ANNOTATION",
comment: "comment",
observation_id: generationId,
queue_id: queueId,
});
const score2 = createScore({
id: v4(),
project_id: newProjectId,
trace_id: traceId,
name: "score-name",
value: 75.0,
source: "ANNOTATION",
comment: "comment",
observation_id: generationId,
queue_id: queueId,
});
await createScores([score, score2]);
});
it("get all scores for queueId", async () => {
const getAllScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?queueId=${queueId}`,
undefined,
authentication,
);
expect(getAllScore.status).toBe(200);
expect(getAllScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 2,
totalPages: 1,
});
for (const val of getAllScore.body.data) {
expect(val).toMatchObject({
traceId: traceId,
observationId: generationId,
queueId: queueId,
source: "ANNOTATION",
});
}
});
});
});
it("test only operator", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator=<`,
undefined,
authentication,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 3,
totalPages: 1,
});
});
it("test only value", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&value=0.8`,
undefined,
authentication,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 3,
totalPages: 1,
});
});
it("test operator <", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator=<&value=50`,
undefined,
authentication,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 1,
totalPages: 1,
});
expect(getScore.body.data).toMatchObject([
{
id: scoreId_1,
name: scoreName,
value: 10.5,
},
]);
});
it("test operator >", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator=>&value=100`,
undefined,
authentication,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 1,
totalPages: 1,
});
expect(getScore.body.data).toMatchObject([
{
id: scoreId_3,
name: scoreName,
value: 100.8,
},
]);
});
it("test operator <=", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator=<=&value=50.5`,
undefined,
authentication,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 2,
totalPages: 1,
});
expect(getScore.body.data).toEqual(
expect.arrayContaining([
expect.objectContaining({
id: scoreId_2,
name: scoreName,
value: 50.5,
}),
expect.objectContaining({
id: scoreId_1,
name: scoreName,
value: 10.5,
}),
]),
);
});
it("test operator >=", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator=>=&value=50.5`,
undefined,
authentication,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 2,
totalPages: 1,
});
expect(getScore.body.data).toEqual(
expect.arrayContaining([
expect.objectContaining({
id: scoreId_3,
name: scoreName,
value: 100.8,
}),
expect.objectContaining({
id: scoreId_2,
name: scoreName,
value: 50.5,
}),
]),
);
});
it("test operator !=", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator=!=&value=50.5`,
undefined,
authentication,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 2,
totalPages: 1,
});
expect(getScore.body.data).toEqual(
expect.arrayContaining([
expect.objectContaining({
id: scoreId_3,
name: scoreName,
value: 100.8,
}),
expect.objectContaining({
id: scoreId_1,
name: scoreName,
value: 10.5,
}),
]),
);
});
it("test operator =", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator==&value=50.5`,
undefined,
authentication,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 1,
totalPages: 1,
});
expect(getScore.body.data).toMatchObject([
{
id: scoreId_2,
name: scoreName,
value: 50.5,
},
]);
});
it("test invalid operator", async () => {
try {
await makeZodVerifiedAPICall(
z.object({
message: z.string(),
error: z.array(z.object({})),
}),
"GET",
`/api/public/scores?${queryUserName}&operator=op&value=50.5`,
undefined,
authentication,
);
} catch (error) {
expect((error as Error).message).toBe(
`API call did not return 200, returned status 400, body {\"message\":\"Invalid request data\",\"error\":[{\"received\":\"op\",\"code\":\"invalid_enum_value\",\"options\":[\"<\",\">\",\"<=\",\">=\",\"!=\",\"=\"],\"path\":[\"operator\"],\"message\":\"Invalid enum value. Expected '<' | '>' | '<=' | '>=' | '!=' | '=', received 'op'\"}]}`,
);
}
});
it("test invalid value", async () => {
try {
await makeZodVerifiedAPICall(
z.object({
message: z.string(),
error: z.array(z.object({})),
}),
"GET",
`/api/public/scores?${queryUserName}&operator=<&value=myvalue`,
undefined,
authentication,
);
} catch (error) {
expect((error as Error).message).toBe(
'API call did not return 200, returned status 400, body {"message":"Invalid request data","error":[{"code":"invalid_type","expected":"number","received":"nan","path":["value"],"message":"Expected number, received nan"}]}',
);
}
});
it("should filter scores by score IDs", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?scoreIds=${scoreId_1},${scoreId_2}`,
undefined,
authentication,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 2,
totalPages: 1,
});
expect(getScore.body.data).toEqual(
expect.arrayContaining([
expect.objectContaining({
id: scoreId_2,
name: scoreName,
value: 50.5,
}),
expect.objectContaining({
id: scoreId_1,
name: scoreName,
value: 10.5,
}),
]),
);
});
});
});
@@ -0,0 +1,76 @@
import {
createObservation,
createTrace,
} from "@/src/__tests__/fixtures/tracing-factory";
import {
createObservations,
createTraces,
} from "@/src/__tests__/server/repositories/clickhouse-helpers";
import { makeZodVerifiedAPICall } from "@/src/__tests__/test-utils";
import { GetTraceV1Response } from "@/src/features/public-api/types/traces";
describe("/api/public/traces API Endpoint", () => {
it("should create and get a trace via /traces", async () => {
const createdTrace = createTrace({
name: "trace-name",
user_id: "user-1",
project_id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
metadata: { key: "value" },
release: "1.0.0",
version: "2.0.0",
});
const observations = [
createObservation({
trace_id: createdTrace.id,
project_id: createdTrace.project_id,
name: "observation-name",
end_time: new Date().getTime(),
start_time: new Date().getTime() - 1000,
input: "input",
output: "output",
}),
createObservation({
trace_id: createdTrace.id,
project_id: createdTrace.project_id,
name: "observation-name-2",
end_time: new Date().getTime(),
start_time: new Date().getTime() - 100000,
input: "input-2",
output: "output-2",
}),
];
await createTraces([createdTrace]);
await createObservations(observations);
const trace = await makeZodVerifiedAPICall(
GetTraceV1Response,
"GET",
"/api/public/traces/" + createdTrace.id,
);
expect(trace.body.name).toBe("trace-name");
expect(trace.body.release).toBe("1.0.0");
expect(trace.body.externalId).toBeNull();
expect(trace.body.version).toBe("2.0.0");
expect(trace.body.projectId).toBe("7a88fb47-b4e2-43b8-a06c-a5ce950dc53a");
expect(trace.body.latency).toBe(100);
expect(trace.body.observations.length).toBe(2);
expect(trace.body.scores.length).toBe(0);
expect(trace.body.observations).toEqual(
expect.arrayContaining([
expect.objectContaining({
name: "observation-name-2",
input: "input-2",
output: "output-2",
}),
expect.objectContaining({
name: "observation-name",
input: "input",
output: "output",
}),
]),
);
});
});
@@ -0,0 +1,277 @@
import { v4 } from "uuid";
import {
createObservations,
createTraces,
} from "@/src/__tests__/server/repositories/clickhouse-helpers";
import {
createObservation,
createTrace,
} from "@/src/__tests__/fixtures/tracing-factory";
import {
getTracesTable,
type ObservationRecordInsertType,
type TraceRecordInsertType,
type TracesTableReturnType,
} from "@langfuse/shared/src/server";
import { type FilterState } from "@langfuse/shared";
describe("Traces table API test", () => {
it("should get a correct trace without observation", async () => {
const project_id = v4();
const trace_id = v4();
const trace = createTrace({ id: trace_id, project_id });
await createTraces([trace]);
const tableRows = await getTracesTable(
project_id,
[],
undefined,
undefined,
1,
0,
);
expect(tableRows).toHaveLength(1);
expect(tableRows[0].id).toEqual(trace_id);
expect(tableRows[0].projectId).toEqual(project_id);
expect(tableRows[0].tags).toEqual(trace.tags);
expect(tableRows[0].name).toEqual(trace.name);
expect(tableRows[0].bookmarked).toEqual(trace.bookmarked);
expect(tableRows[0].release).toEqual(trace.release);
expect(tableRows[0].version).toEqual(trace.version);
expect(tableRows[0].userId).toEqual(trace.user_id);
expect(tableRows[0].sessionId).toEqual(trace.session_id);
expect(tableRows[0].public).toEqual(trace.public);
expect(tableRows[0].latency).toBeGreaterThanOrEqual(0);
expect(tableRows[0].usageDetails).toEqual({});
expect(tableRows[0].costDetails).toEqual({});
expect(tableRows[0].level).toBeDefined();
expect(tableRows[0].observationCount).toBeGreaterThanOrEqual(0);
expect(tableRows[0].scoresAvg).toEqual([]);
});
it("should get a correct trace with observations", async () => {
const project_id = v4();
const trace_id = v4();
const trace = createTrace({ id: trace_id, project_id });
await createTraces([trace]);
const obs1 = createObservation({ trace_id, project_id });
const obs2 = createObservation({ trace_id, project_id });
await createObservations([obs1, obs2]);
const tableRows = await getTracesTable(
project_id,
[],
undefined,
undefined,
1,
0,
);
expect(tableRows).toHaveLength(1);
expect(tableRows[0].id).toEqual(trace_id);
expect(tableRows[0].projectId).toEqual(project_id);
expect(tableRows[0].tags).toEqual(trace.tags);
expect(tableRows[0].name).toEqual(trace.name);
expect(tableRows[0].bookmarked).toEqual(trace.bookmarked);
expect(tableRows[0].release).toEqual(trace.release);
expect(tableRows[0].version).toEqual(trace.version);
expect(tableRows[0].userId).toEqual(trace.user_id);
expect(tableRows[0].sessionId).toEqual(trace.session_id);
expect(tableRows[0].public).toEqual(trace.public);
expect(tableRows[0].latency).toBeGreaterThanOrEqual(0);
expect(tableRows[0].usageDetails).toEqual({
input: (obs1.usage_details.input + obs2.usage_details.input).toString(),
output: (
obs1.usage_details.output + obs2.usage_details.output
).toString(),
total: (obs1.usage_details.total + obs2.usage_details.total).toString(),
});
expect(tableRows[0].costDetails).toEqual({
input: obs1.cost_details.input + obs2.cost_details.input,
output: obs1.cost_details.output + obs2.cost_details.output,
total: obs1.cost_details.total + obs2.cost_details.total,
});
expect(tableRows[0].level).toBeDefined();
expect(tableRows[0].observationCount).toBeGreaterThanOrEqual(0);
expect(tableRows[0].scoresAvg).toEqual([]);
});
type TestCase = {
traceInput: Partial<TraceRecordInsertType>;
observationInput: Partial<ObservationRecordInsertType>[];
filterstate: FilterState;
expected: Partial<TracesTableReturnType>[];
};
[
{
traceInput: {},
observationInput: [
{ cost_details: { total: 100 } },
{ cost_details: { total: 200 } },
],
filterstate: [
{
column: "totalCost",
operator: ">" as const,
value: 100000,
type: "number" as const,
},
],
expected: [],
},
{
traceInput: {},
observationInput: [
{
cost_details: { total: 0.000001 },
usage_details: { total: 0 },
},
{
cost_details: { total: 0.000002 },
usage_details: { total: 0 },
},
],
filterstate: [
{
column: "Total Cost ($)",
operator: ">" as const,
value: 0.000002,
type: "number" as const,
},
],
expected: [
{
cost_details: { total: 0.000003 },
},
],
},
{
traceInput: {},
observationInput: [],
filterstate: [
{
column: "id",
operator: "=" as const,
value: "some-id",
type: "string" as const,
},
],
expected: [],
},
{
traceInput: {},
observationInput: [],
filterstate: [
{
column: "Latency (s)",
operator: ">" as const,
value: 5_000_000, // Verify that we can pass large values
type: "number" as const,
},
],
expected: [],
},
].forEach(async (testConfig: TestCase) => {
it(`should get a correct trace with filters ${JSON.stringify(testConfig)}`, async () => {
const project_id = v4();
const trace_id = v4();
const trace = createTrace({
id: trace_id,
project_id,
...testConfig.traceInput,
});
await createTraces([trace]);
expect(testConfig.observationInput.length).not.toBeGreaterThan(2);
const obs1 = createObservation({
trace_id,
project_id,
...(testConfig.observationInput.length > 0
? testConfig.observationInput[0]
: {}),
});
const obs2 = createObservation({
trace_id,
project_id,
...(testConfig.observationInput.length > 1
? testConfig.observationInput[1]
: {}),
});
await createObservations([obs1, obs2]);
const tableRows = await getTracesTable(
project_id,
testConfig.filterstate,
undefined,
undefined,
1,
0,
);
expect(tableRows).toHaveLength(testConfig.expected.length);
testConfig.expected.forEach((expectedTrace, index) => {
if (expectedTrace.id !== undefined) {
expect(tableRows[index].id).toEqual(expectedTrace.id);
}
if (expectedTrace.project_id !== undefined) {
expect(tableRows[index].projectId).toEqual(expectedTrace.project_id);
}
if (expectedTrace.tags !== undefined) {
expect(tableRows[index].tags).toEqual(expectedTrace.tags);
}
if (expectedTrace.name !== undefined) {
expect(tableRows[index].name).toEqual(expectedTrace.name);
}
if (expectedTrace.bookmarked !== undefined) {
expect(tableRows[index].bookmarked).toEqual(expectedTrace.bookmarked);
}
if (expectedTrace.release !== undefined) {
expect(tableRows[index].release).toEqual(expectedTrace.release);
}
if (expectedTrace.version !== undefined) {
expect(tableRows[index].version).toEqual(expectedTrace.version);
}
if (expectedTrace.user_id !== undefined) {
expect(tableRows[index].userId).toEqual(expectedTrace.user_id);
}
if (expectedTrace.session_id !== undefined) {
expect(tableRows[index].sessionId).toEqual(expectedTrace.session_id);
}
if (expectedTrace.public !== undefined) {
expect(tableRows[index].public).toEqual(expectedTrace.public);
}
if (expectedTrace.latency !== undefined) {
expect(tableRows[index].latency).toEqual(expectedTrace.latency);
}
if (expectedTrace.usage_details !== undefined) {
expect(tableRows[index].usageDetails).toEqual(
expectedTrace.usage_details,
);
}
if (expectedTrace.cost_details !== undefined) {
expect(tableRows[index].costDetails).toEqual(
expectedTrace.cost_details,
);
}
if (expectedTrace.level !== undefined) {
expect(tableRows[index].level).toEqual(expectedTrace.level);
}
if (expectedTrace.observation_count !== undefined) {
expect(tableRows[index].observationCount).toEqual(
expectedTrace.observation_count,
);
}
if (expectedTrace.scores_avg !== undefined) {
expect(tableRows[index].scoresAvg).toEqual(expectedTrace.scores_avg);
}
});
});
});
});
@@ -1,4 +1,5 @@
import {
type ScoreRecordInsertType,
type ObservationRecordInsertType,
type TraceRecordInsertType,
} from "@langfuse/shared/src/server";
@@ -68,3 +69,23 @@ export const createObservation = (
...observation,
};
};
export const createScore = (score: Partial<ScoreRecordInsertType>) => {
return {
id: v4(),
project_id: v4(),
trace_id: v4(),
observation_id: v4(),
name: "test-score" + v4(),
timestamp: Date.now(),
value: 100.5,
source: "API",
comment: "comment",
data_type: "NUMERIC" as const,
created_at: Date.now(),
updated_at: Date.now(),
event_ts: Date.now(),
is_deleted: 0,
...score,
};
};
+6 -1
View File
@@ -167,7 +167,12 @@ describe("Media Upload API", () => {
);
result.getDownloadUrlResponse = getDownloadUrlResponse;
if (getDownloadUrlResponse.status !== 200) {
if (
!(
getDownloadUrlResponse.status === 200 ||
getDownloadUrlResponse.status === 201
)
) {
return result;
}
@@ -1,441 +0,0 @@
/** @jest-environment node */
import { v4 as uuidv4 } from "uuid";
import {
makeZodVerifiedAPICall,
pruneDatabase,
} from "@/src/__tests__/test-utils";
import { ModelUsageUnit } from "@langfuse/shared";
import { prisma } from "@langfuse/shared/src/db";
import {
GetObservationV1Response,
GetObservationsV1Response,
} from "@/src/features/public-api/types/observations";
describe("/api/public/observations API Endpoint", () => {
beforeEach(async () => await pruneDatabase());
afterEach(async () => await pruneDatabase());
it("should fetch all observations", async () => {
await pruneDatabase();
const traceId = uuidv4();
await prisma.trace.create({
data: {
id: traceId,
name: "trace-name",
userId: "user-1",
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
metadata: { key: "value" },
release: "1.0.0",
version: "2.0.0",
},
});
const model = await prisma.model.create({
data: {
id: "model-1",
modelName: "gpt-3.5-turbo",
inputPrice: "0.0000010",
outputPrice: "0.0000020",
totalPrice: "0.1",
matchPattern: "(.*)(gpt-)(35|3.5)(-turbo)?(.*)",
projectId: null,
unit: ModelUsageUnit.Tokens,
},
});
const prompt = await prisma.prompt.create({
data: {
name: "prompt-name",
prompt: "prompt-one",
isActive: false,
version: 1,
project: {
connect: { id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a" },
},
createdBy: "user-1",
},
});
await prisma.observation.create({
data: {
id: uuidv4(),
traceId: traceId,
name: "generation-name",
startTime: new Date("2021-01-01T00:00:00.000Z"),
endTime: new Date("2021-01-01T00:00:00.000Z"),
model: "gpt-3.5-turbo",
modelParameters: { key: "value" },
input: { key: "input" },
output: { key: "output" },
promptTokens: 10,
completionTokens: 20,
totalTokens: 30,
version: "2.0.0",
type: "GENERATION",
project: {
connect: { id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a" },
},
internalModel: "gpt-3.5-turbo",
unit: ModelUsageUnit.Tokens,
promptId: prompt.id,
},
});
const fetchedObservations = await makeZodVerifiedAPICall(
GetObservationsV1Response,
"GET",
"/api/public/observations",
undefined,
);
expect(fetchedObservations.status).toBe(200);
expect(fetchedObservations.body.data.length).toBe(1);
expect(fetchedObservations.body.data[0]?.traceId).toBe(traceId);
expect(fetchedObservations.body.data[0]?.input).toEqual({ key: "input" });
expect(fetchedObservations.body.data[0]?.output).toEqual({ key: "output" });
expect(fetchedObservations.body.data[0]?.model).toEqual("gpt-3.5-turbo");
expect(fetchedObservations.body.data[0]?.modelId).toEqual(model.id);
expect(
fetchedObservations.body.data[0]?.calculatedInputCost,
).toBeGreaterThan(0);
expect(
fetchedObservations.body.data[0]?.calculatedOutputCost,
).toBeGreaterThan(0);
expect(
fetchedObservations.body.data[0]?.calculatedTotalCost,
).toBeGreaterThan(0);
expect(fetchedObservations.body.data[0]?.promptId).toBe(prompt.id);
expect(fetchedObservations.body.data[0]?.promptName).toBe(prompt.name);
expect(fetchedObservations.body.data[0]?.promptVersion).toBe(
prompt.version,
);
});
it("should fetch all observations, filtered by generations", async () => {
await pruneDatabase();
const traceId = uuidv4();
await prisma.trace.create({
data: {
id: traceId,
name: "trace-name",
userId: "user-1",
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
metadata: { key: "value" },
release: "1.0.0",
version: "2.0.0",
},
});
await prisma.model.create({
data: {
id: "model-1",
modelName: "gpt-3.5-turbo",
inputPrice: "0.0000010",
outputPrice: "0.0000020",
totalPrice: "0.1",
matchPattern: "(.*)(gpt-)(35|3.5)(-turbo)?(.*)",
projectId: null,
unit: ModelUsageUnit.Tokens,
},
});
await prisma.observation.create({
data: {
id: uuidv4(),
traceId: traceId,
name: "generation-name",
startTime: new Date("2021-01-01T00:00:00.000Z"),
endTime: new Date("2021-01-01T00:00:00.000Z"),
model: "gpt-3.5-turbo",
internalModel: "gpt-3.5-turbo",
modelParameters: { key: "value" },
input: { key: "input" },
output: { key: "output" },
promptTokens: 10,
completionTokens: 20,
totalTokens: 30,
version: "2.0.0",
unit: ModelUsageUnit.Tokens,
type: "GENERATION",
project: {
connect: { id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a" },
},
},
});
await prisma.observation.create({
data: {
id: uuidv4(),
traceId: traceId,
name: "generation-name",
startTime: new Date("2021-01-01T00:00:00.000Z"),
endTime: new Date("2021-01-01T00:00:00.000Z"),
modelParameters: { key: "value" },
input: { key: "input" },
output: { key: "output" },
version: "2.0.0",
type: "SPAN",
project: {
connect: { id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a" },
},
},
});
const fetchedObservations = await makeZodVerifiedAPICall(
GetObservationsV1Response,
"GET",
"/api/public/observations?type=GENERATION",
undefined,
);
console.log(fetchedObservations.body);
expect(fetchedObservations.status).toBe(200);
expect(fetchedObservations.body.data.length).toBe(1);
expect(fetchedObservations.body.data[0]?.traceId).toBe(traceId);
expect(fetchedObservations.body.data[0]?.input).toEqual({ key: "input" });
expect(fetchedObservations.body.data[0]?.output).toEqual({ key: "output" });
expect(fetchedObservations.body.data[0]?.type).toEqual("GENERATION");
});
});
it("GET /observations with timestamp filters and pagination", async () => {
await prisma.trace.create({
data: {
id: "trace-id",
name: "trace-name",
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
},
});
await prisma.observation.createMany({
data: [
{
id: "observation-2021-01-01",
traceId: "trace-id",
name: "generation-name",
startTime: new Date("2021-01-01T00:00:00.000Z"),
endTime: new Date("2021-01-01T00:00:00.000Z"),
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
type: "GENERATION",
},
{
id: "observation-2021-02-01",
traceId: "trace-id",
name: "generation-name",
startTime: new Date("2021-02-01T00:00:00.000Z"),
endTime: new Date("2021-02-01T00:00:00.000Z"),
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
type: "SPAN",
},
{
id: "observation-2021-03-01",
traceId: "trace-id",
name: "generation-name",
startTime: new Date("2021-03-01T00:00:00.000Z"),
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
type: "EVENT",
},
{
id: "observation-2021-04-01",
traceId: "trace-id",
name: "generation-name",
startTime: new Date("2021-04-01T00:00:00.000Z"),
endTime: new Date("2021-04-01T00:00:00.000Z"),
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
type: "GENERATION",
},
],
});
const fromTimestamp = "2021-02-01T00:00:00.000Z";
const toTimestamp = "2021-04-01T00:00:00.000Z";
// Test with both fromTimestamp and toTimestamp
let fetchedObservations = await makeZodVerifiedAPICall(
GetObservationsV1Response,
"GET",
`/api/public/observations?fromStartTime=${fromTimestamp}&toStartTime=${toTimestamp}`,
undefined,
);
expect(fetchedObservations.body.data.length).toBe(2);
expect(fetchedObservations.body.data[0]?.id).toBe("observation-2021-03-01");
expect(fetchedObservations.body.data[1]?.id).toBe("observation-2021-02-01");
expect(fetchedObservations.body.meta.totalItems).toBe(2);
// Test with only fromTimestamp
fetchedObservations = await makeZodVerifiedAPICall(
GetObservationsV1Response,
"GET",
`/api/public/observations?fromStartTime=${fromTimestamp}`,
undefined,
);
expect(fetchedObservations.body.data.length).toBe(3);
expect(fetchedObservations.body.data[0]?.id).toBe("observation-2021-04-01");
expect(fetchedObservations.body.data[1]?.id).toBe("observation-2021-03-01");
expect(fetchedObservations.body.data[2]?.id).toBe("observation-2021-02-01");
expect(fetchedObservations.body.meta.totalItems).toBe(3);
// Test with only toTimestamp
fetchedObservations = await makeZodVerifiedAPICall(
GetObservationsV1Response,
"GET",
`/api/public/observations?toStartTime=${toTimestamp}`,
undefined,
);
expect(fetchedObservations.body.data.length).toBe(3);
expect(fetchedObservations.body.data[0]?.id).toBe("observation-2021-03-01");
expect(fetchedObservations.body.data[1]?.id).toBe("observation-2021-02-01");
expect(fetchedObservations.body.data[2]?.id).toBe("observation-2021-01-01");
expect(fetchedObservations.body.meta.totalItems).toBe(3);
// test pagination only
fetchedObservations = await makeZodVerifiedAPICall(
GetObservationsV1Response,
"GET",
`/api/public/observations?limit=1&page=2`,
undefined,
);
expect(fetchedObservations.body.data.length).toBe(1);
expect(fetchedObservations.body.data[0]?.id).toBe("observation-2021-03-01");
expect(fetchedObservations.body.meta).toMatchObject({
totalItems: 4,
totalPages: 4,
page: 2,
limit: 1,
});
});
it("Get a single EVENT from /observations/:id", async () => {
const traceId = uuidv4();
await prisma.trace.create({
data: {
id: traceId,
name: "trace-name",
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
},
});
// EVENT
const eventId = uuidv4();
await prisma.observation.create({
data: {
id: eventId,
traceId: traceId,
name: "generation-name",
startTime: new Date("2021-01-01T00:00:00.000Z"),
type: "EVENT",
project: {
connect: { id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a" },
},
},
});
const getEventRes = await makeZodVerifiedAPICall(
GetObservationV1Response,
"GET",
"/api/public/observations/" + eventId,
);
expect(getEventRes.body).toMatchObject({
id: eventId,
traceId: traceId,
type: "EVENT",
});
});
it("Get a single GENERATION from /observations/:id", async () => {
const traceId = uuidv4();
await prisma.trace.create({
data: {
id: traceId,
name: "trace-name",
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
},
});
const generationId = uuidv4();
await prisma.observation.create({
data: {
id: generationId,
traceId: traceId,
name: "generation-name",
startTime: new Date("2021-01-01T00:00:00.000Z"),
endTime: new Date("2021-01-01T00:00:00.000Z"),
model: "gpt-3.5-turbo",
internalModel: "gpt-3.5-turbo",
modelParameters: { key: "value" },
input: { key: "input" },
output: { key: "output" },
promptTokens: 10,
completionTokens: 20,
totalTokens: 30,
version: "2.0.0",
unit: ModelUsageUnit.Tokens,
type: "GENERATION",
project: {
connect: { id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a" },
},
},
});
const getGenerationRes = await makeZodVerifiedAPICall(
GetObservationV1Response,
"GET",
"/api/public/observations/" + generationId,
);
expect(getGenerationRes.body).toMatchObject({
id: generationId,
traceId: traceId,
input: { key: "input" },
output: { key: "output" },
type: "GENERATION",
});
});
it("Get a single SPAN from /observations/:id", async () => {
const traceId = uuidv4();
await prisma.trace.create({
data: {
id: traceId,
name: "trace-name",
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
},
});
const spanId = uuidv4();
await prisma.observation.create({
data: {
id: spanId,
traceId: traceId,
name: "generation-name",
startTime: new Date("2021-01-01T00:00:00.000Z"),
endTime: new Date("2021-01-01T00:00:00.000Z"),
modelParameters: { key: "value" },
input: { key: "input" },
output: { key: "output" },
version: "2.0.0",
type: "SPAN",
project: {
connect: { id: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a" },
},
},
});
const getSpanRes = await makeZodVerifiedAPICall(
GetObservationV1Response,
"GET",
"/api/public/observations/" + spanId,
);
expect(getSpanRes.body).toMatchObject({
id: spanId,
traceId: traceId,
input: { key: "input" },
output: { key: "output" },
type: "SPAN",
});
});
+1 -608
View File
@@ -7,12 +7,7 @@ import {
pruneDatabase,
} from "@/src/__tests__/test-utils";
import { v4 as uuidv4 } from "uuid";
import {
DeleteScoreResponse,
GetScoreResponse,
GetScoresResponse,
} from "@langfuse/shared";
import { z } from "zod";
import { DeleteScoreResponse, GetScoreResponse } from "@langfuse/shared";
import { PostTracesV1Response } from "@/src/features/public-api/types/traces";
const traceId = "de98afa2-89dc-47e9-9924-33f1490fdaf4";
@@ -111,39 +106,6 @@ describe("/api/public/scores API Endpoint", () => {
expect(fetchedScore.body?.observationId).toBeNull();
});
it("should GET score with minimal score data and minimal trace data", async () => {
const minimalTraceId = uuidv4();
await makeAPICall("POST", "/api/public/traces", {
id: minimalTraceId,
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
});
const dbTrace = await prisma.trace.findMany({
where: {
id: minimalTraceId,
},
});
expect(dbTrace.length).toBeGreaterThan(0);
expect(dbTrace[0]?.id).toBe(minimalTraceId);
const minimalScoreId = uuidv4();
await makeAPICall("POST", "/api/public/scores", {
id: minimalScoreId,
name: "score-name",
value: 100,
traceId: minimalTraceId,
});
const fetchedScore = await makeZodVerifiedAPICall(
GetScoreResponse,
"GET",
`/api/public/scores/${minimalScoreId}`,
);
expect(fetchedScore.status).toBe(200);
});
it("should create score for a generation", async () => {
await pruneDatabase();
@@ -826,573 +788,4 @@ describe("/api/public/scores API Endpoint", () => {
});
expect(deletedScore).toBeNull();
});
describe("should Filter scores", () => {
let configId = "";
const userId = "user-name";
const traceTags = ["prod", "test"];
const traceTags_2 = ["staging", "dev"];
const scoreName = "score-name";
const queryUserName = `userId=${userId}&name=${scoreName}`;
const traceId = uuidv4();
const traceId_2 = uuidv4();
const traceId_3 = uuidv4();
const generationId = uuidv4();
const scoreId_1 = uuidv4();
const scoreId_2 = uuidv4();
const scoreId_3 = uuidv4();
const scoreId_4 = uuidv4();
const scoreId_5 = uuidv4();
beforeAll(async () => {
should_prune_db = false;
await pruneDatabase();
await makeZodVerifiedAPICall(
PostTracesV1Response,
"POST",
"/api/public/traces",
{
id: traceId,
userId: userId,
tags: traceTags,
},
);
await makeZodVerifiedAPICall(
PostTracesV1Response,
"POST",
"/api/public/traces",
{
id: traceId_2,
userId: userId,
tags: traceTags_2,
},
);
await makeZodVerifiedAPICall(
PostTracesV1Response,
"POST",
"/api/public/traces",
{
id: traceId_3,
userId: userId,
tags: ["staging"],
},
);
await makeZodVerifiedAPICall(
PostTracesV1Response,
"POST",
"/api/public/generations",
{
id: generationId,
},
);
await makeAPICall("POST", "/api/public/score-configs", {
name: scoreName,
dataType: "NUMERIC",
maxValue: 100,
});
const config = await prisma.scoreConfig.findFirst({
where: {
name: scoreName,
},
});
configId = config?.id ?? "";
await makeAPICall("POST", "/api/public/scores", {
id: scoreId_1,
observationId: generationId,
name: scoreName,
value: 10.5,
traceId: traceId,
comment: "comment",
configId,
});
await makeAPICall("POST", "/api/public/scores", {
id: scoreId_2,
observationId: generationId,
name: scoreName,
value: 50.5,
traceId: traceId,
comment: "comment",
});
await makeAPICall("POST", "/api/public/scores", {
id: scoreId_3,
observationId: generationId,
name: scoreName,
value: 100.8,
traceId: traceId,
comment: "comment",
});
await makeAPICall("POST", "/api/public/scores", {
id: scoreId_4,
name: "other-score-name",
value: "best",
traceId: traceId_2,
comment: "comment",
});
await makeAPICall("POST", "/api/public/scores", {
id: scoreId_5,
name: "other-score-name",
value: "test",
traceId: traceId_3,
comment: "comment",
});
});
afterAll(async () => {
await pruneDatabase();
});
it("get all scores", async () => {
const getAllScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}`,
);
expect(getAllScore.status).toBe(200);
expect(getAllScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 3,
totalPages: 1,
});
for (const val of getAllScore.body.data) {
expect(val).toMatchObject({
traceId: traceId,
observationId: generationId,
});
}
});
it("get all scores for config", async () => {
const getAllScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?configId=${configId}`,
);
expect(getAllScore.status).toBe(200);
expect(getAllScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 1,
totalPages: 1,
});
for (const val of getAllScore.body.data) {
expect(val).toMatchObject({
traceId: traceId,
observationId: generationId,
configId: configId,
});
}
});
it("get all scores for numeric data type", async () => {
const getAllScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?dataType=${"NUMERIC"}`,
);
expect(getAllScore.status).toBe(200);
expect(getAllScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 3,
totalPages: 1,
});
for (const val of getAllScore.body.data) {
expect(val).toMatchObject({
traceId: traceId,
observationId: generationId,
dataType: "NUMERIC",
});
}
});
it("get all scores for trace tag 'prod'", async () => {
const getAllScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?traceTags=${"prod"}`,
);
expect(getAllScore.status).toBe(200);
expect(getAllScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 3,
totalPages: 1,
});
for (const val of getAllScore.body.data) {
expect(val).toMatchObject({
traceId: traceId,
trace: { tags: ["prod", "test"], userId: "user-name" },
});
}
});
it("get all scores for trace tags 'staging' and 'dev'", async () => {
const getAllScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?traceTags=${["staging", "dev"]}`,
);
expect(getAllScore.status).toBe(200);
expect(getAllScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 1,
totalPages: 1,
});
for (const val of getAllScore.body.data) {
expect(val).toMatchObject({
traceId: traceId_2,
trace: { tags: ["dev", "staging"], userId: "user-name" },
});
}
});
describe("should Filter scores by queueId", () => {
describe("queueId filtering", () => {
let queueId: string;
const projectId = "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a";
beforeEach(async () => {
queueId = uuidv4();
await Promise.all([
prisma.score.create({
data: {
observationId: generationId,
name: "annotation-score-1",
value: 100.5,
traceId: traceId,
comment: "comment 1",
queueId,
source: "ANNOTATION",
project: { connect: { id: projectId } },
dataType: "NUMERIC",
},
}),
prisma.score.create({
data: {
observationId: generationId,
name: "annotation-score-2",
value: 75.0,
traceId: traceId,
comment: "comment 2",
queueId,
source: "ANNOTATION",
project: { connect: { id: projectId } },
dataType: "NUMERIC",
},
}),
]);
});
afterEach(async () => {
await prisma.score.deleteMany({
where: { queueId, projectId },
});
});
it("get all scores for queueId", async () => {
const getAllScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?queueId=${queueId}`,
);
expect(getAllScore.status).toBe(200);
expect(getAllScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 2,
totalPages: 1,
});
for (const val of getAllScore.body.data) {
expect(val).toMatchObject({
traceId: traceId,
observationId: generationId,
queueId: queueId,
source: "ANNOTATION",
});
}
});
});
});
it("test only operator", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator=<`,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 3,
totalPages: 1,
});
});
it("test only value", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&value=0.8`,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 3,
totalPages: 1,
});
});
it("test operator <", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator=<&value=50`,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 1,
totalPages: 1,
});
expect(getScore.body.data).toMatchObject([
{
id: scoreId_1,
name: scoreName,
value: 10.5,
},
]);
});
it("test operator >", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator=>&value=100`,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 1,
totalPages: 1,
});
expect(getScore.body.data).toMatchObject([
{
id: scoreId_3,
name: scoreName,
value: 100.8,
},
]);
});
it("test operator <=", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator=<=&value=50.5`,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 2,
totalPages: 1,
});
expect(getScore.body.data).toMatchObject([
{
id: scoreId_2,
name: scoreName,
value: 50.5,
},
{
id: scoreId_1,
name: scoreName,
value: 10.5,
},
]);
});
it("test operator >=", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator=>=&value=50.5`,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 2,
totalPages: 1,
});
expect(getScore.body.data).toMatchObject([
{
id: scoreId_3,
name: scoreName,
value: 100.8,
},
{
id: scoreId_2,
name: scoreName,
value: 50.5,
},
]);
});
it("test operator !=", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator=!=&value=50.5`,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 2,
totalPages: 1,
});
expect(getScore.body.data).toMatchObject([
{
id: scoreId_3,
name: scoreName,
value: 100.8,
},
{
id: scoreId_1,
name: scoreName,
value: 10.5,
},
]);
});
it("test operator =", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?${queryUserName}&operator==&value=50.5`,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 1,
totalPages: 1,
});
expect(getScore.body.data).toMatchObject([
{
id: scoreId_2,
name: scoreName,
value: 50.5,
},
]);
});
it("should GET ALL scores with minimal score data and minimal trace data", async () => {
const minimalTraceId = uuidv4();
await makeAPICall("POST", "/api/public/traces", {
id: minimalTraceId,
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
});
const dbTrace = await prisma.trace.findMany({
where: {
id: minimalTraceId,
},
});
expect(dbTrace.length).toBeGreaterThan(0);
expect(dbTrace[0]?.id).toBe(minimalTraceId);
const createScore = await makeAPICall("POST", "/api/public/scores", {
name: "score-name",
value: 100,
traceId: minimalTraceId,
});
expect(createScore.status).toBe(200);
const fetchedScores = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores`,
);
expect(fetchedScores.status).toBe(200);
expect(fetchedScores.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 6,
totalPages: 1,
});
expect(fetchedScores.body.data.length).toBe(6);
});
it("test invalid operator", async () => {
try {
await makeZodVerifiedAPICall(
z.object({
message: z.string(),
error: z.array(z.object({})),
}),
"GET",
`/api/public/scores?${queryUserName}&operator=op&value=50.5`,
);
} catch (error) {
expect((error as Error).message).toBe(
`API call did not return 200, returned status 400, body {\"message\":\"Invalid request data\",\"error\":[{\"received\":\"op\",\"code\":\"invalid_enum_value\",\"options\":[\"<\",\">\",\"<=\",\">=\",\"!=\",\"=\"],\"path\":[\"operator\"],\"message\":\"Invalid enum value. Expected '<' | '>' | '<=' | '>=' | '!=' | '=', received 'op'\"}]}`,
);
}
});
it("test invalid value", async () => {
try {
await makeZodVerifiedAPICall(
z.object({
message: z.string(),
error: z.array(z.object({})),
}),
"GET",
`/api/public/scores?${queryUserName}&operator=<&value=myvalue`,
);
} catch (error) {
expect((error as Error).message).toBe(
'API call did not return 200, returned status 400, body {"message":"Invalid request data","error":[{"code":"invalid_type","expected":"number","received":"nan","path":["value"],"message":"Expected number, received nan"}]}',
);
}
});
it("should filter scores by score IDs", async () => {
const getScore = await makeZodVerifiedAPICall(
GetScoresResponse,
"GET",
`/api/public/scores?scoreIds=${scoreId_1},${scoreId_2}`,
);
expect(getScore.status).toBe(200);
expect(getScore.body.meta).toMatchObject({
page: 1,
limit: 50,
totalItems: 2,
totalPages: 1,
});
expect(getScore.body.data).toMatchObject([
{
id: scoreId_2,
name: scoreName,
value: 50.5,
},
{
id: scoreId_1,
name: scoreName,
value: 10.5,
},
]);
});
});
});
@@ -1,157 +0,0 @@
import {
createObservation,
createTraces,
} from "@/src/__tests__/server/repositories/clickhouse-helpers";
import { pruneDatabase } from "@/src/__tests__/test-utils";
import { getTracesTable } from "@langfuse/shared/src/server";
import { v4 } from "uuid";
const projectId = "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a";
describe("UI Traces table", () => {
beforeEach(async () => {
await pruneDatabase();
});
it("should return a single trace", async () => {
const traceId = v4();
const trace = {
id: traceId,
project_id: projectId,
session_id: v4(),
timestamp: Date.now(),
metadata: {},
public: false,
bookmarked: false,
name: "Test Trace",
tags: ["tag-alpha", "tag-beta"],
release: "alpha",
version: "1.0.0",
user_id: "user-id-1",
created_at: Date.now(),
updated_at: Date.now(),
event_ts: Date.now(),
is_deleted: 0,
};
await createTraces([trace]);
const result = await getTracesTable(
projectId,
[],
undefined,
undefined,
10,
0,
);
expect(result.length).toEqual(1);
expect(result[0].id).toEqual(trace.id);
expect(result[0].projectId).toEqual(trace.project_id);
expect(result[0].name).toEqual(trace.name);
expect(result[0].timestamp).toEqual(new Date(trace.timestamp));
expect(result[0].tags).toEqual(trace.tags);
expect(result[0].bookmarked).toEqual(trace.bookmarked);
expect(result[0].release).toEqual(trace.release);
expect(result[0].version).toEqual(trace.version);
expect(result[0].userId).toEqual(trace.user_id);
expect(result[0].sessionId).toEqual(trace.session_id);
expect(result[0].public).toEqual(trace.public);
expect(result[0].tags).toEqual(trace.tags);
});
it("should return a trace joined with an observation", async () => {
const traceId = v4();
const trace = {
id: traceId,
project_id: projectId,
session_id: v4(),
timestamp: Date.now(),
metadata: {},
public: false,
bookmarked: false,
name: "Test Trace",
tags: ["tag-alpha", "tag-beta"],
release: "alpha",
version: "1.0.0",
user_id: "user-id-1",
created_at: Date.now(),
updated_at: Date.now(),
event_ts: Date.now(),
is_deleted: 0,
};
const observation = {
id: v4(),
project_id: projectId,
trace_id: traceId,
prompt_id: v4(),
type: "GENERATION",
created_at: Date.now(),
updated_at: Date.now(),
event_ts: Date.now(),
is_deleted: 0,
metadata: {
some: "metadata",
},
start_time: Date.now(),
provided_usage_details: {},
provided_cost_details: {},
usage_details: { input: 100, output: 200 },
cost_details: { input: 100, output: 200 },
name: "Test Observation",
level: "WARNING",
input: "some llm input",
output: "some llm output",
version: "1.2.0",
parent_observation_id: null,
status_message: "this is an error",
provided_model_name: "anthropic",
internal_model_id: "some-model-id",
model_parameters: JSON.stringify({
model: "test-model",
model_version: "1",
model_parameters: {},
}),
total_cost: 100,
prompt_name: "Test Prompt",
prompt_version: 1,
end_time: Date.now(),
completion_start_time: Date.now(),
};
await createTraces([trace]);
await createObservation(observation);
const result = await getTracesTable(
projectId,
[],
undefined,
undefined,
10,
0,
);
expect(result.length).toEqual(1);
expect(result[0].id).toEqual(trace.id);
expect(result[0].projectId).toEqual(trace.project_id);
expect(result[0].name).toEqual(trace.name);
expect(result[0].timestamp).toEqual(new Date(trace.timestamp));
expect(result[0].tags).toEqual(trace.tags);
expect(result[0].bookmarked).toEqual(trace.bookmarked);
expect(result[0].release).toEqual(trace.release);
expect(result[0].version).toEqual(trace.version);
expect(result[0].userId).toEqual(trace.user_id);
expect(result[0].sessionId).toEqual(trace.session_id);
expect(result[0].public).toEqual(trace.public);
expect(result[0].observationCount).toEqual(1);
expect(result[0].costDetails).toEqual({
input: 100,
output: 200,
});
});
});
@@ -6,7 +6,7 @@ import {
} from "@langfuse/shared/src/server";
export const createTraces = async (trace: TraceRecordInsertType[]) => {
return await clickhouseClient.insert({
return await clickhouseClient().insert({
table: "traces",
format: "JSONEachRow",
values: trace,
@@ -16,7 +16,7 @@ export const createTraces = async (trace: TraceRecordInsertType[]) => {
export const createObservation = async (
observation: ObservationRecordInsertType,
) => {
return await clickhouseClient.insert({
return await clickhouseClient().insert({
table: "observations",
format: "JSONEachRow",
values: [observation],
@@ -26,7 +26,7 @@ export const createObservation = async (
export const createObservations = async (
observations: ObservationRecordInsertType[],
) => {
return await clickhouseClient.insert({
return await clickhouseClient().insert({
table: "observations",
format: "JSONEachRow",
values: observations,
@@ -34,7 +34,7 @@ export const createObservations = async (
};
export const createScores = async (scores: ScoreRecordInsertType[]) => {
return await clickhouseClient.insert({
return await clickhouseClient().insert({
table: "scores",
format: "JSONEachRow",
values: scores,
+45 -5
View File
@@ -1,6 +1,11 @@
import { env } from "@/src/env.mjs";
import { prisma } from "@langfuse/shared/src/db";
import { clickhouseClient } from "@langfuse/shared/src/server";
import {
clickhouseClient,
getDisplaySecretKey,
hashSecretKey,
} from "@langfuse/shared/src/server";
import { v4 } from "uuid";
import { type z } from "zod";
export const pruneDatabase = async () => {
@@ -27,18 +32,21 @@ export const pruneDatabase = async () => {
throw new Error("You cannot prune clickhouse unless running on localhost.");
}
await clickhouseClient.command({
await clickhouseClient().command({
query: "TRUNCATE TABLE IF EXISTS observations",
});
await clickhouseClient.command({
await clickhouseClient().command({
query: "TRUNCATE TABLE IF EXISTS scores",
});
await clickhouseClient.command({
await clickhouseClient().command({
query: "TRUNCATE TABLE IF EXISTS traces",
});
};
function createBasicAuthHeader(username: string, password: string): string {
export function createBasicAuthHeader(
username: string,
password: string,
): string {
const base64Credentials = Buffer.from(`${username}:${password}`).toString(
"base64",
);
@@ -130,3 +138,35 @@ export async function makeZodVerifiedAPICallSilent<T extends z.ZodTypeAny>(
return { body: resBody, status };
}
export const createOrgProjectAndApiKey = async () => {
const projectId = v4();
const org = await prisma.organization.create({
data: {
id: v4(),
name: v4(),
},
});
await prisma.project.create({
data: {
id: projectId,
name: v4(),
orgId: org.id,
},
});
const publicKey = v4();
const secretKey = v4();
const auth = createBasicAuthHeader(publicKey, secretKey);
await prisma.apiKey.create({
data: {
id: v4(),
projectId: projectId,
publicKey: publicKey,
hashedSecretKey: await hashSecretKey(secretKey),
displaySecretKey: getDisplaySecretKey(secretKey),
},
});
return { projectId, publicKey, secretKey, auth };
};
-30
View File
@@ -19,36 +19,6 @@ describe("/api/public/traces API Endpoint", () => {
beforeEach(async () => await pruneDatabase());
afterEach(async () => await pruneDatabase());
it("should create and get a trace via /traces", async () => {
await pruneDatabase();
const traceCreate = await makeZodVerifiedAPICall(
PostTracesV1Response,
"POST",
"/api/public/traces",
{
name: "trace-name",
userId: "user-1",
projectId: "7a88fb47-b4e2-43b8-a06c-a5ce950dc53a",
metadata: { key: "value" },
release: "1.0.0",
version: "2.0.0",
},
);
const trace = await makeZodVerifiedAPICall(
GetTraceV1Response,
"GET",
"/api/public/traces/" + traceCreate.body.id,
);
expect(trace.body.name).toBe("trace-name");
expect(trace.body.release).toBe("1.0.0");
expect(trace.body.externalId).toBeNull();
expect(trace.body.version).toBe("2.0.0");
expect(trace.body.projectId).toBe("7a88fb47-b4e2-43b8-a06c-a5ce950dc53a");
});
it("should upsert second trace", async () => {
await pruneDatabase();
+10
View File
@@ -53,6 +53,15 @@ describe("Token Count Functions", () => {
expect(result).toBeUndefined();
});
it("should return token count for strings with special characters", () => {
const result = tokenCount({
model: generateModel("gpt-4-1106-preview", "openai"),
text: "Hello <|endoftext|> World!",
});
expect(result).toBeDefined();
expect(result).toBeGreaterThan(0);
});
it("check extensive openai chat message", () => {
const result = tokenCount({
model: generateModel("gpt-3.5-turbo", "openai"),
@@ -130,6 +139,7 @@ describe("Token Count Functions", () => {
});
expect(result).toBeUndefined();
});
it("should return undefined for undefined text input", () => {
const result = tokenCount({
model: generateModel("gpt-4", "openai"),
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+1
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@@ -57,6 +57,7 @@ const unauthenticatedPaths: string[] = [
"/auth/sign-in",
"/auth/sign-up",
"/auth/error",
"/auth/hf-spaces",
];
// auth or unauthed
const publishablePaths: string[] = [
+33 -5
View File
@@ -23,11 +23,39 @@ type SidebarNotification = {
};
const notifications: SidebarNotification[] = [
{
id: "lw2-5",
title: "Launch Week 2 Day 5",
description: "Introducing Prompt Experiments to test prompts on datasets",
link: "https://langfuse.com/changelog/2024-11-22-prompt-experimentation",
linkTitle: "Changelog",
},
{
id: "lw2-4",
title: "Launch Week 2 Day 4",
description: "All new docs for datasets, experiments, and evaluations",
link: "https://langfuse.com/changelog/2024-11-21-all-new-datasets-and-evals-documentation",
linkTitle: "Changelog",
},
{
id: "lw2-3",
title: "Launch Week 2 Day 3",
description:
"Full multi-modal support including images, audio, and attachments",
link: "https://langfuse.com/changelog/2024-11-20-full-multi-modal-images-audio-attachments",
linkTitle: "Changelog",
},
{
id: "lw2-2",
title: "Launch Week 2 Day 2",
description: "LLM-as-a-Judge Evaluators for Dataset Experiments",
link: "https://langfuse.com/changelog/2024-11-19-llm-as-a-judge-for-datasets",
linkTitle: "Changelog",
},
{
id: "lw2-1",
title: "Launch Week 2 Day 1",
description:
"New side-by-side comparison view for dataset experiment runs.",
description: "New side-by-side comparison view for dataset experiment runs",
link: "https://langfuse.com/changelog/2024-11-18-dataset-runs-comparison-view",
linkTitle: "Changelog",
},
@@ -35,7 +63,7 @@ const notifications: SidebarNotification[] = [
id: "github-star",
title: "Star Langfuse",
description:
"See the latest releases and help grow the community on GitHub.",
"See the latest releases and help grow the community on GitHub",
link: "https://github.com/langfuse/langfuse",
linkContent: (
// eslint-disable-next-line @next/next/no-img-element
@@ -84,7 +112,7 @@ export function SidebarNotifications() {
const currentNotification = notifications[currentNotificationIndex];
return (
<Card className="relative max-h-44 overflow-hidden rounded-md bg-opacity-50 shadow-none group-data-[collapsible=icon]:hidden">
<Card className="relative max-h-60 overflow-hidden rounded-md bg-opacity-50 shadow-none group-data-[collapsible=icon]:hidden">
<Button
variant="ghost"
size="sm"
@@ -127,7 +155,7 @@ export function SidebarNotifications() {
});
}}
>
{currentNotification.linkTitle ?? "Learn more"}
{currentNotification.linkTitle ?? "Learn more"} &rarr;
</Link>
</Button>
)}
+1 -1
View File
@@ -1 +1 @@
export const VERSION = "v2.91.0";
export const VERSION = "v2.95.1";
@@ -11,7 +11,6 @@ import {
PopoverTrigger,
} from "@/src/components/ui/popover";
import { useState } from "react";
import { Trash } from "lucide-react";
import TableLink from "@/src/components/table/table-link";
import EvalLogTable from "@/src/ee/features/evals/components/eval-log";
import { usePostHogClientCapture } from "@/src/features/posthog-analytics/usePostHogClientCapture";
@@ -20,12 +19,23 @@ import { TableWithMetadataWrapper } from "@/src/components/table/TableWithMetada
import { StatusBadge } from "@/src/components/layouts/status-badge";
import { DetailPageNav } from "@/src/features/navigate-detail-pages/DetailPageNav";
import { CardDescription } from "@/src/components/ui/card";
import { EvaluatorStatus } from "@/src/ee/features/evals/types";
import { Switch } from "@/src/components/ui/switch";
import { Edit } from "lucide-react";
import {
Dialog,
DialogContent,
DialogTitle,
DialogTrigger,
} from "@/src/components/ui/dialog";
export const EvaluatorDetail = () => {
const router = useRouter();
const projectId = router.query.projectId as string;
const evaluatorId = router.query.evaluatorId as string;
const [isEditOpen, setIsEditOpen] = useState(false);
// get the current template by id
const evaluator = api.evals.configById.useQuery({
projectId: projectId,
@@ -63,79 +73,102 @@ export const EvaluatorDetail = () => {
return (
<FullScreenPage>
<>
<Header
title={evaluator.data?.id ?? "Loading..."}
breadcrumb={[
{
name: "Evaluators",
href: `/project/${router.query.projectId as string}/evals`,
},
{ name: evaluator.data?.id },
]}
actionButtons={
<>
<DeactivateEvaluator
projectId={projectId}
evaluator={evaluator.data ?? undefined}
isLoading={evaluator.isLoading}
<Header
title={evaluator.data ? `Evaluator ${evaluator.data.id}` : "Loading..."}
breadcrumb={[
{
name: "Evaluators",
href: `/project/${router.query.projectId as string}/evals`,
},
{ name: evaluator.data?.id },
]}
actionButtons={
<>
<StatusBadge
type={evaluator.data?.status.toLowerCase()}
isLive
className="max-h-8"
/>
<DeactivateEvaluator
projectId={projectId}
evaluator={evaluator.data ?? undefined}
isLoading={evaluator.isLoading}
/>
{evaluator.data && (
<DetailPageNav
key="nav"
currentId={encodeURIComponent(evaluator.data.id)}
path={(entry) =>
`/project/${projectId}/evals/${encodeURIComponent(entry.id)}`
}
listKey="evals"
/>
{evaluator.data && (
<DetailPageNav
key="nav"
currentId={encodeURIComponent(evaluator.data.id)}
path={(entry) =>
`/project/${projectId}/evals/${encodeURIComponent(entry.id)}`
}
listKey="evals"
)}
</>
}
/>
{existingEvaluator && (
<TableWithMetadataWrapper
tableComponent={
<EvalLogTable
projectId={projectId}
jobConfigurationId={existingEvaluator.id}
/>
}
cardTitleChildren={
<div className="flex w-full flex-row items-center justify-between">
<span>Evaluator configuration</span>
<Dialog open={isEditOpen} onOpenChange={setIsEditOpen}>
<DialogTrigger asChild>
<Button variant="outline" className="flex items-center gap-2">
<Edit className="h-4 w-4" />
</Button>
</DialogTrigger>
<DialogContent className="max-w-screen-xl">
<DialogTitle>Edit Evaluator</DialogTitle>
<div className="max-h-[80vh] overflow-y-auto">
<EvaluatorForm
key={existingEvaluator.id}
projectId={projectId}
evalTemplates={allTemplates.data?.templates}
existingEvaluator={existingEvaluator}
shouldWrapVariables={true}
mode="edit"
onFormSuccess={() => {
setIsEditOpen(false);
// Force a reload as the form state is not properly updated
void router.reload();
}}
/>
</div>
</DialogContent>
</Dialog>
</div>
}
cardContentChildren={
<>
<CardDescription className="flex items-center justify-between text-sm">
<span className="text-sm font-medium">Eval Template</span>
<TableLink
path={`/project/${projectId}/evals/templates/${existingEvaluator.evalTemplateId}`}
value={`${existingEvaluator.evalTemplate.name} (v${existingEvaluator.evalTemplate.version})`}
className="flex min-h-6 items-center"
/>
)}
</CardDescription>
<div className="flex w-full flex-col items-start justify-between space-y-2 pb-4">
<EvaluatorForm
key={existingEvaluator.id}
projectId={projectId}
evalTemplates={allTemplates.data?.templates}
existingEvaluator={existingEvaluator}
disabled={true}
shouldWrapVariables={true}
/>
</div>
</>
}
/>
{existingEvaluator && (
<TableWithMetadataWrapper
tableComponent={
<EvalLogTable
projectId={projectId}
jobConfigurationId={existingEvaluator.id}
/>
}
cardTitleChildren={
<div className="flex w-full flex-row items-center justify-between">
<span>Evaluator</span>
<StatusBadge
type={evaluator.data?.status.toLowerCase()}
isLive
className="max-h-8"
/>
</div>
}
cardContentChildren={
<>
<CardDescription className="flex items-center justify-between text-sm">
<span className="text-sm font-medium">Eval Template</span>
<TableLink
path={`/project/${projectId}/evals/templates/${existingEvaluator.evalTemplateId}`}
value={`${existingEvaluator.evalTemplate.name} (v${existingEvaluator.evalTemplate.version})`}
className="flex min-h-6 items-center"
/>
</CardDescription>
<div className="flex w-full flex-col items-start justify-between space-y-2 pb-4">
<EvaluatorForm
key={existingEvaluator.id}
projectId={projectId}
evalTemplates={allTemplates.data?.templates}
existingEvaluator={existingEvaluator}
disabled={true}
shouldWrapVariables={true}
/>
</div>
</>
}
/>
)}
</>
)}
</FullScreenPage>
);
};
@@ -143,7 +176,6 @@ export const EvaluatorDetail = () => {
export function DeactivateEvaluator({
projectId,
evaluator,
isLoading,
}: {
projectId: string;
evaluator?: RouterOutputs["evals"]["configById"];
@@ -153,6 +185,7 @@ export function DeactivateEvaluator({
const hasAccess = useHasProjectAccess({ projectId, scope: "evalJob:CUD" });
const [isOpen, setIsOpen] = useState(false);
const capture = usePostHogClientCapture();
const isActive = evaluator?.status === EvaluatorStatus.ACTIVE;
const mutEvaluator = api.evals.updateEvalJob.useMutation({
onSuccess: () => {
@@ -165,41 +198,50 @@ export function DeactivateEvaluator({
console.error("Project ID is missing");
return;
}
const prevStatus = evaluator?.status;
mutEvaluator.mutateAsync({
projectId,
evalConfigId: evaluator?.id ?? "",
updatedStatus: "INACTIVE",
config: {
status: isActive ? EvaluatorStatus.INACTIVE : EvaluatorStatus.ACTIVE,
},
});
capture("eval_config:delete");
capture(
prevStatus === EvaluatorStatus.ACTIVE
? "eval_config:deactivate"
: "eval_config:activate",
);
setIsOpen(false);
};
return (
<Popover open={isOpen} onOpenChange={() => setIsOpen(!isOpen)}>
<PopoverTrigger asChild>
<Button
variant="outline"
size={"icon"}
disabled={!hasAccess || evaluator?.status !== "ACTIVE"}
loading={isLoading}
>
<Trash className="h-5 w-5" />
</Button>
<div className="flex items-center">
<Switch
disabled={!hasAccess}
checked={isActive}
className={isActive ? "data-[state=checked]:bg-dark-green" : ""}
/>
</div>
</PopoverTrigger>
<PopoverContent>
<h2 className="text-md mb-3 font-semibold">Please confirm</h2>
<p className="mb-3 text-sm">
This action permanently deactivates the evaluator. No more traces will
be evaluated based on this evaluator.
{evaluator?.status === "ACTIVE"
? "This action will deactivate the evaluator. No more traces will be evaluated based on this evaluator."
: "This action will activate the evaluator. New traces will be evaluated based on this evaluator."}
</p>
<div className="flex justify-end space-x-4">
<Button
type="button"
variant="destructive"
variant={evaluator?.status === "ACTIVE" ? "destructive" : "default"}
loading={mutEvaluator.isLoading}
onClick={onClick}
>
Deactivate evaluator
{evaluator?.status === "ACTIVE" ? "Deactivate" : "Activate"}
</Button>
</div>
</PopoverContent>
@@ -69,9 +69,9 @@ import { showSuccessToast } from "@/src/features/notifications/showSuccessToast"
const formSchema = z.object({
scoreName: z.string(),
target: z.string(),
filter: z.array(singleFilter).nullable(), // re-using the filter type from the tables
filter: z.array(singleFilter).nullable(), // reusing the filter type from the tables
mapping: z.array(wipVariableMapping),
sampling: z.coerce.number().gte(0).lte(1),
sampling: z.coerce.number().gt(0).lte(1),
delay: z.coerce.number().optional().default(10),
});
@@ -87,6 +87,7 @@ export const EvaluatorForm = (props: {
disabled?: boolean;
existingEvaluator?: JobConfiguration & { evalTemplate: EvalTemplate };
onFormSuccess?: () => void;
mode?: "create" | "edit";
shouldWrapVariables?: boolean;
}) => {
const [open, setOpen] = useState(false);
@@ -131,7 +132,7 @@ export const EvaluatorForm = (props: {
<Popover open={open} onOpenChange={setOpen}>
<PopoverTrigger asChild>
<Button
disabled={props.disabled}
disabled={props.disabled || props.mode === "edit"}
variant="outline"
role="combobox"
aria-expanded={open}
@@ -193,7 +194,11 @@ export const EvaluatorForm = (props: {
<Popover>
<PopoverTrigger asChild>
<Button
disabled={props.disabled || !selectedTemplateName}
disabled={
props.disabled ||
!selectedTemplateName ||
props.mode === "edit"
}
variant="outline"
role="combobox"
className="w-1/3 justify-between px-2 font-normal"
@@ -276,6 +281,7 @@ export const EvaluatorForm = (props: {
}
onFormSuccess={props.onFormSuccess}
shouldWrapVariables={props.shouldWrapVariables}
mode={props.mode}
/>
) : null}
</>
@@ -289,6 +295,7 @@ export const InnerEvalConfigForm = (props: {
existingEvaluator?: JobConfiguration;
onFormSuccess?: () => void;
shouldWrapVariables?: boolean;
mode?: "create" | "edit";
}) => {
const [formError, setFormError] = useState<string | null>(null);
const capture = usePostHogClientCapture();
@@ -393,6 +400,10 @@ export const InnerEvalConfigForm = (props: {
onSuccess: () => utils.models.invalidate(),
onError: (error) => setFormError(error.message),
});
const updateJobMutation = api.evals.updateEvalJob.useMutation({
onSuccess: () => utils.evals.invalidate(),
onError: (error) => setFormError(error.message),
});
const [availableVariables, setAvailableVariables] = useState<
typeof availableTraceEvalVariables | typeof availableDatasetEvalVariables
>(
@@ -402,7 +413,11 @@ export const InnerEvalConfigForm = (props: {
);
function onSubmit(values: z.infer<typeof formSchema>) {
capture("eval_config:new_form_submit");
capture(
props.mode === "edit"
? "eval_config:update"
: "eval_config:new_form_submit",
);
const validatedFilter = z.array(singleFilter).safeParse(values.filter);
@@ -427,21 +442,42 @@ export const InnerEvalConfigForm = (props: {
return;
}
createJobMutation
.mutateAsync({
projectId: props.projectId,
evalTemplateId: props.evalTemplate.id,
scoreName: values.scoreName,
target: values.target,
filter: validatedFilter.data,
mapping: validatedVarMapping.data,
sampling: values.sampling,
delay: values.delay * 1000, // multiply by 1k to convert to ms
})
const delay = values.delay * 1000; // convert to ms
const sampling = values.sampling;
const mapping = validatedVarMapping.data;
const filter = validatedFilter.data;
const scoreName = values.scoreName;
(props.mode === "edit" && props.existingEvaluator
? updateJobMutation.mutateAsync({
projectId: props.projectId,
evalConfigId: props.existingEvaluator.id,
config: {
delay,
filter,
variableMapping: mapping,
sampling,
scoreName,
},
})
: createJobMutation.mutateAsync({
projectId: props.projectId,
target: values.target,
evalTemplateId: props.evalTemplate.id,
scoreName,
filter,
mapping,
sampling,
delay,
})
)
.then(() => {
props.onFormSuccess?.();
form.reset();
void router.push(`/project/${props.projectId}/evals`);
props.onFormSuccess?.();
if (props.mode !== "edit") {
void router.push(`/project/${props.projectId}/evals`);
}
})
.catch((error) => {
// eslint-disable-next-line @typescript-eslint/no-unsafe-member-access
@@ -507,10 +543,16 @@ export const InnerEvalConfigForm = (props: {
}}
>
<TabsList>
<TabsTrigger value="trace" disabled={props.disabled}>
<TabsTrigger
value="trace"
disabled={props.disabled || props.mode === "edit"}
>
Trace
</TabsTrigger>
<TabsTrigger value="dataset" disabled={props.disabled}>
<TabsTrigger
value="dataset"
disabled={props.disabled || props.mode === "edit"}
>
Dataset
</TabsTrigger>
</TabsList>
@@ -825,7 +867,7 @@ export const InnerEvalConfigForm = (props: {
{!props.disabled ? (
<Button
type="submit"
loading={createJobMutation.isLoading}
loading={createJobMutation.isLoading || updateJobMutation.isLoading}
className="mt-3"
>
Save
@@ -15,7 +15,7 @@ import {
import { Textarea } from "@/src/components/ui/textarea";
import { api } from "@/src/utils/api";
import { zodResolver } from "@hookform/resolvers/zod";
import { extractVariables, getIsCharOrUnderscore } from "@/src/utils/string";
import { extractVariables, getIsCharOrUnderscore } from "@langfuse/shared";
import router from "next/router";
import { type EvalTemplate } from "@langfuse/shared";
import { ModelParameters } from "@/src/components/ModelParameters";
@@ -1,7 +1,10 @@
import { env } from "@/src/env.mjs";
import { DatasetRunItemUpsertQueue } from "../../../../../../packages/shared/dist/src/server/redis/datasetRunItemUpsert";
import { randomUUID } from "crypto";
import { QueueJobs, redis } from "@langfuse/shared/src/server";
import {
QueueJobs,
DatasetRunItemUpsertQueue,
redis,
} from "@langfuse/shared/src/server";
export const addDatasetRunItemsToEvalQueue = async ({
projectId,
@@ -18,30 +21,17 @@ export const addDatasetRunItemsToEvalQueue = async ({
const queue = DatasetRunItemUpsertQueue.getInstance();
if (queue) {
await queue.add(
QueueJobs.DatasetRunItemUpsert,
{
payload: {
projectId,
datasetItemId: datasetItemId,
traceId,
observationId: observationId ?? undefined,
},
id: randomUUID(),
timestamp: new Date(),
name: QueueJobs.DatasetRunItemUpsert as const,
await queue.add(QueueJobs.DatasetRunItemUpsert, {
payload: {
projectId,
datasetItemId: datasetItemId,
traceId,
observationId: observationId ?? undefined,
},
{
attempts: 3, // retry 3 times
backoff: {
type: "exponential",
delay: 1000,
},
delay: 10000, // 10 seconds
removeOnComplete: true,
removeOnFail: 1_000,
},
);
id: randomUUID(),
timestamp: new Date(),
name: QueueJobs.DatasetRunItemUpsert as const,
});
}
}
};
+116 -38
View File
@@ -12,6 +12,9 @@ import {
singleFilter,
variableMapping,
ChatMessageRole,
type JobConfiguration,
JobConfigState,
JobType,
Prisma,
} from "@langfuse/shared";
import { decrypt } from "@langfuse/shared/encryption";
@@ -23,6 +26,47 @@ import {
} from "@langfuse/shared/src/server";
import { TRPCError } from "@trpc/server";
import { EvalReferencedEvaluators } from "@/src/ee/features/evals/types";
import { EvaluatorStatus } from "../types";
import { traceException } from "@langfuse/shared/src/server";
const APIEvaluatorSchema = z.object({
id: z.string(),
projectId: z.string(),
evalTemplateId: z.string(),
scoreName: z.string(),
targetObject: z.string(),
filter: z.array(singleFilter).nullable(), // reusing the filter type from the tables
variableMapping: z.array(variableMapping),
sampling: z.instanceof(Prisma.Decimal),
delay: z.number(),
status: z.nativeEnum(JobConfigState),
jobType: z.nativeEnum(JobType),
createdAt: z.coerce.date(),
updatedAt: z.coerce.date(),
});
type APIEvaluator = z.infer<typeof APIEvaluatorSchema>;
/**
* Use this function when pulling a list of evaluators from the database before using in the application to ensure type safety.
* All evaluators are expected to pass the validation. If an evaluator fails validation, it will be logged to Otel.
* @param evaluators
* @returns list of validated evaluators
*/
const filterAndValidateDbEvaluatorList = (
evaluators: JobConfiguration[],
onParseError?: (error: z.ZodError) => void,
): APIEvaluator[] =>
evaluators.reduce((acc, ts) => {
const result = APIEvaluatorSchema.safeParse(ts);
if (result.success) {
acc.push(result.data);
} else {
console.error("Evaluator parsing error: ", result.error);
onParseError?.(result.error);
}
return acc;
}, [] as APIEvaluator[]);
export const CreateEvalTemplate = z.object({
name: z.string().min(1),
@@ -42,6 +86,26 @@ export const CreateEvalTemplate = z.object({
.default(EvalReferencedEvaluators.PERSIST),
});
const CreateEvalJobSchema = z.object({
projectId: z.string(),
evalTemplateId: z.string(),
scoreName: z.string().min(1),
target: z.string(),
filter: z.array(singleFilter).nullable(), // reusing the filter type from the tables
mapping: z.array(variableMapping),
sampling: z.number().gt(0).lte(1),
delay: z.number().gte(0).default(DEFAULT_TRACE_JOB_DELAY), // 10 seconds default
});
const UpdateEvalJobSchema = z.object({
scoreName: z.string().min(1).optional(),
filter: z.array(singleFilter).optional(),
variableMapping: z.array(variableMapping).optional(),
sampling: z.number().gt(0).lte(1).optional(),
delay: z.number().gte(0).optional(),
status: z.nativeEnum(EvaluatorStatus).optional(),
});
export const evalRouter = createTRPCRouter({
allConfigs: protectedProjectProcedure
.input(
@@ -314,6 +378,31 @@ export const evalRouter = createTRPCRouter({
}
}),
jobConfigsByTarget: protectedProjectProcedure
.input(z.object({ projectId: z.string(), targetObject: z.string() }))
.query(async ({ input, ctx }) => {
throwIfNoEntitlement({
entitlement: "model-based-evaluations",
projectId: input.projectId,
sessionUser: ctx.session.user,
});
throwIfNoProjectAccess({
session: ctx.session,
projectId: input.projectId,
scope: "evalJob:read",
});
const evaluators = await ctx.prisma.jobConfiguration.findMany({
where: {
projectId: input.projectId,
targetObject: input.targetObject,
status: "ACTIVE",
},
});
return filterAndValidateDbEvaluatorList(evaluators, traceException);
}),
jobConfigsByTemplateName: protectedProjectProcedure
.input(z.object({ projectId: z.string(), evalTemplateName: z.string() }))
.query(async ({ input, ctx }) => {
@@ -360,18 +449,7 @@ export const evalRouter = createTRPCRouter({
}),
createJob: protectedProjectProcedure
.input(
z.object({
projectId: z.string(),
evalTemplateId: z.string(),
scoreName: z.string().min(1),
target: z.string(),
filter: z.array(singleFilter).nullable(), // re-using the filter type from the tables
mapping: z.array(variableMapping),
sampling: z.number().gte(0).lte(1),
delay: z.number().gte(0).default(DEFAULT_TRACE_JOB_DELAY), // 10 seconds default
}),
)
.input(CreateEvalJobSchema)
.mutation(async ({ input, ctx }) => {
try {
throwIfNoEntitlement({
@@ -453,29 +531,31 @@ export const evalRouter = createTRPCRouter({
// Make a test structured output call to validate the LLM key
try {
await fetchLLMCompletion({
streaming: false,
apiKey: decrypt(parsedKey.data.secretKey), // decrypt the secret key
baseURL: parsedKey.data.baseURL ?? undefined,
messages: [
{
role: ChatMessageRole.System,
content: "You are an expert at evaluating LLM outputs.",
(
await fetchLLMCompletion({
streaming: false,
apiKey: decrypt(parsedKey.data.secretKey), // decrypt the secret key
baseURL: parsedKey.data.baseURL ?? undefined,
messages: [
{
role: ChatMessageRole.System,
content: "You are an expert at evaluating LLM outputs.",
},
{ role: ChatMessageRole.User, content: input.prompt },
],
modelParams: {
provider: input.provider,
model: input.model,
adapter: parsedKey.data.adapter,
...input.modelParams,
},
{ role: ChatMessageRole.User, content: input.prompt },
],
modelParams: {
provider: input.provider,
model: input.model,
adapter: parsedKey.data.adapter,
...input.modelParams,
},
structuredOutputSchema: z.object({
score: z.string(),
reasoning: z.string(),
}),
config: parsedKey.data.config,
});
structuredOutputSchema: z.object({
score: z.string(),
reasoning: z.string(),
}),
config: parsedKey.data.config,
})
).completion;
} catch (err) {
logger.error(err);
@@ -543,7 +623,7 @@ export const evalRouter = createTRPCRouter({
z.object({
projectId: z.string(),
evalConfigId: z.string(),
updatedStatus: z.enum(["ACTIVE", "INACTIVE"]),
config: UpdateEvalJobSchema,
}),
)
.mutation(async ({ input, ctx }) => {
@@ -563,9 +643,7 @@ export const evalRouter = createTRPCRouter({
id: input.evalConfigId,
projectId: input.projectId,
},
data: {
status: input.updatedStatus,
},
data: input.config,
});
await auditLog({
+7
View File
@@ -1,4 +1,11 @@
import { z } from "zod";
import { JobConfigState } from "@langfuse/shared";
export enum EvalReferencedEvaluators {
UPDATE = "update",
PERSIST = "persist",
}
export const EvaluatorStatus = JobConfigState;
export const EvaluatorStatusSchema = z.nativeEnum(EvaluatorStatus);
export type EvaluatorStatusType = z.infer<typeof EvaluatorStatusSchema>;
@@ -0,0 +1,742 @@
import React, { useEffect, useMemo, useState } from "react";
import { Button } from "@/src/components/ui/button";
import {
FormControl,
FormDescription,
FormField,
FormItem,
FormLabel,
FormMessage,
} from "@/src/components/ui/form";
import { zodResolver } from "@hookform/resolvers/zod";
import { useForm } from "react-hook-form";
import { Form } from "@/src/components/ui/form";
import { Textarea } from "@/src/components/ui/textarea";
import { ModelParameters } from "@/src/components/ModelParameters";
import {
CommandEmpty,
CommandGroup,
CommandInput,
CommandList,
Command,
CommandItem,
} from "@/src/components/ui/command";
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
SelectValue,
} from "@/src/components/ui/select";
import { z, type ZodSchema } from "zod";
import { cn } from "@/src/utils/tailwind";
import {
Popover,
PopoverContent,
PopoverTrigger,
} from "@/src/components/ui/popover";
import {
ChevronDown,
CheckIcon,
Info,
CircleCheck,
Loader2,
} from "lucide-react";
import { api } from "@/src/utils/api";
import {
Card,
CardDescription,
CardHeader,
CardTitle,
} from "@/src/components/ui/card";
import { showErrorToast } from "@/src/features/notifications/showErrorToast";
import { useModelParams } from "@/src/ee/features/playground/page/hooks/useModelParams";
import { getFinalModelParams } from "@/src/ee/utils/getFinalModelParams";
import {
type ColumnDefinition,
datasetCol,
extractVariables,
type FilterCondition,
stringOptionsFilter,
ZodModelConfig,
} from "@langfuse/shared";
import { MultiSelectKeyValues } from "@/src/features/scores/components/multi-select-key-values";
import { useHasProjectAccess } from "@/src/features/rbac/utils/checkProjectAccess";
import { PromptType } from "@/src/features/prompts/server/utils/validation";
import { Skeleton } from "@/src/components/ui/skeleton";
import { Input } from "@/src/components/ui/input";
import { EvaluatorStatus } from "@/src/ee/features/evals/types";
const CreateExperimentData = z.object({
name: z.string().min(1, "Please enter a name").optional(),
promptId: z.string().min(1, "Please select a prompt"),
datasetId: z.string().min(1, "Please select a dataset"),
description: z.string().max(1000).optional(),
modelConfig: z.object({
provider: z.string().min(1, "Please select a provider"),
model: z.string().min(1, "Please select a model"),
modelParams: ZodModelConfig,
}),
});
export type CreateExperiment = z.infer<typeof CreateExperimentData>;
const isDatasetTarget = <T extends ZodSchema>(
filters: FilterCondition[] | null,
condition: {
column: ColumnDefinition;
schema: T;
isValid: (filter: z.infer<T>) => boolean;
},
): boolean => {
if (!filters) return true;
const { column, schema, isValid } = condition;
const datasetFilters = filters.filter(
(filter) =>
(filter.column === column.id || column.name) &&
schema.safeParse(filter).success,
);
return datasetFilters.every((filter): boolean => isValid(filter));
};
export const CreateExperimentsForm = ({
projectId,
setFormOpen,
defaultValues = {},
promptDefault,
handleExperimentSettled,
handleExperimentSuccess,
}: {
projectId: string;
setFormOpen: (open: boolean) => void;
defaultValues?: Partial<CreateExperiment>;
promptDefault?: {
name: string;
version: number;
};
handleExperimentSuccess?: (data?: {
success: boolean;
datasetId: string;
runId: string;
runName: string;
}) => Promise<void>;
handleExperimentSettled?: (data?: {
success: boolean;
datasetId: string;
runId: string;
runName: string;
}) => Promise<void>;
}) => {
const [open, setOpen] = useState(false);
const [evaluatorOptions, setEvaluatorOptions] = useState<
{ key: string; value: string }[]
>([]);
const [selectedEvaluators, setSelectedEvaluators] = useState<
{ key: string; value: string }[]
>([]);
const [selectedPromptName, setSelectedPromptName] = useState<string>(
promptDefault?.name ?? "",
);
const [selectedPromptVersion, setSelectedPromptVersion] = useState<
number | null
>(promptDefault?.version ?? null);
const {
modelParams,
updateModelParamValue,
setModelParamEnabled,
availableModels,
availableProviders,
} = useModelParams();
const form = useForm<CreateExperiment>({
resolver: zodResolver(CreateExperimentData),
defaultValues: {
promptId: "",
datasetId: "",
modelConfig: {},
...defaultValues,
},
});
const hasExperimentWriteAccess = useHasProjectAccess({
projectId,
scope: "experiments:CUD",
});
const hasEvalReadAccess = useHasProjectAccess({
projectId,
scope: "evalJob:read",
});
const hasEvalWriteAccess = useHasProjectAccess({
projectId,
scope: "evalJob:CUD",
});
const promptMeta = api.prompts.allPromptMeta.useQuery({
projectId,
});
const datasets = api.datasets.allDatasetMeta.useQuery(
{ projectId },
{
trpc: {
context: {
skipBatch: true,
},
},
refetchOnMount: false,
refetchOnWindowFocus: false,
refetchOnReconnect: false,
staleTime: Infinity,
},
);
const promptId = form.watch("promptId");
const datasetId = form.watch("datasetId");
const evaluators = api.evals.jobConfigsByTarget.useQuery(
{ projectId, targetObject: "dataset" },
{
enabled: hasEvalReadAccess && !!datasetId,
trpc: {
context: {
skipBatch: true,
},
},
refetchOnMount: false,
refetchOnWindowFocus: false,
refetchOnReconnect: false,
},
);
const expectedColumns = useMemo(() => {
const prompt = promptMeta.data?.find((p) => p.id === promptId);
if (!prompt) return [];
return extractVariables(
prompt.type === PromptType.Text
? (prompt?.prompt?.toString() ?? "")
: JSON.stringify(prompt?.prompt),
);
}, [promptId, promptMeta.data]);
useEffect(() => {
if (evaluators.data) {
const isValidFilter = (filter: z.infer<typeof stringOptionsFilter>) => {
const filterIncludesId = filter.value.includes(datasetId);
if (filter.operator === "any of") {
return filterIncludesId;
} else {
return !filterIncludesId;
}
};
const initialEvaluators = evaluators.data.reduce<
{ key: string; value: string }[]
>((acc, evaluator) => {
if (
isDatasetTarget(evaluator.filter, {
column: datasetCol,
schema: stringOptionsFilter,
isValid: isValidFilter,
})
) {
acc.push({
key: evaluator.id,
value: evaluator.scoreName,
});
}
return acc;
}, []);
setEvaluatorOptions(initialEvaluators);
setSelectedEvaluators(initialEvaluators);
}
}, [evaluators.data, datasetId]);
const validationResult = api.experiments.validateConfig.useQuery(
{
projectId,
promptId: promptId as string,
datasetId: datasetId as string,
},
{
enabled: Boolean(promptId && datasetId),
},
);
const experimentMutation = api.experiments.createExperiment.useMutation({
onSuccess: handleExperimentSuccess ?? (() => {}),
onError: (error) => {
showErrorToast(
error.message || "Failed to trigger experiment run",
"Please try again.",
);
},
onSettled: handleExperimentSettled ?? (() => {}),
});
const archiveEvaluatorMutation = api.evals.updateEvalJob.useMutation();
// Watch model config changes and update form
useEffect(() => {
form.setValue("modelConfig", {
provider: modelParams.provider.value,
model: modelParams.model.value,
modelParams: getFinalModelParams(modelParams),
});
}, [modelParams, form]);
const onSubmit = async (data: CreateExperiment) => {
const experiment = {
...data,
projectId,
};
await experimentMutation.mutateAsync(experiment);
form.reset();
setFormOpen(false);
};
const handleOnValueChange = (
values: { key: string; value: string }[],
changedValueId?: string,
) => {
if (!changedValueId) return;
const evaluator = evaluators.data?.find((e) => e.id === changedValueId);
if (!evaluator) return;
if (evaluator.status === "INACTIVE") {
const confirmed = window.confirm(
`Are you sure you want to activate "${evaluator.scoreName}"? You can always always archive the evaluator.`,
);
if (!confirmed) {
return;
}
} else {
const confirmed = window.confirm(
`Are you sure you want to archive "${evaluator.scoreName}"? You can always always re-activate the evaluator.`,
);
if (!confirmed) {
return;
}
}
archiveEvaluatorMutation.mutate({
projectId,
evalConfigId: changedValueId,
config: {
status:
evaluator.status === EvaluatorStatus.INACTIVE
? EvaluatorStatus.ACTIVE
: EvaluatorStatus.INACTIVE,
},
});
setSelectedEvaluators(values);
};
const promptsByName = useMemo(
() =>
promptMeta.data?.reduce<
Record<string, Array<{ version: number; id: string }>>
>((acc, prompt) => {
if (!acc[prompt.name]) {
acc[prompt.name] = [];
}
acc[prompt.name].push({ version: prompt.version, id: prompt.id });
return acc;
}, {}),
[promptMeta.data],
);
if (!hasExperimentWriteAccess) {
return null;
}
if (
!promptMeta.data ||
!datasets.data ||
(hasEvalReadAccess && !!datasetId && !evaluators.data)
) {
return <Skeleton className="min-h-[70dvh] w-full" />;
}
return (
<Form {...form}>
<form className="space-y-6" onSubmit={form.handleSubmit(onSubmit)}>
<FormField
control={form.control}
name="name"
render={({ field }) => (
<FormItem>
<FormLabel>Experiment name (optional)</FormLabel>
<FormControl>
<Input {...field} type="string" />
</FormControl>
<FormMessage />
</FormItem>
)}
/>
<FormField
control={form.control}
name="description"
render={({ field }) => (
<FormItem>
<FormLabel>Description (optional)</FormLabel>
<FormControl>
<Textarea
{...field}
placeholder="Add description..."
className="focus:outline-none focus:ring-0 focus-visible:ring-0 focus-visible:ring-offset-0 active:ring-0"
/>
</FormControl>
<FormMessage />
</FormItem>
)}
/>
<FormField
control={form.control}
name="promptId"
render={() => (
<FormItem>
<FormLabel>Prompt</FormLabel>
{/* FIX: I need the command list in the popover to be scrollable, currently it's not */}
<div className="mb-2 flex gap-2">
<Popover open={open} onOpenChange={setOpen}>
<PopoverTrigger asChild>
<Button
variant="outline"
role="combobox"
aria-expanded={open}
className="w-2/3 justify-between px-2 font-normal"
>
{selectedPromptName || "Select a prompt"}
<ChevronDown className="ml-2 h-4 w-4 shrink-0 opacity-50" />
</Button>
</PopoverTrigger>
<PopoverContent
className="w-[--radix-popover-trigger-width] overflow-auto p-0"
align="start"
>
<Command>
<CommandInput
placeholder="Search prompts..."
className="h-9"
/>
<CommandList>
<CommandEmpty>No prompt found.</CommandEmpty>
<CommandGroup>
{promptsByName &&
Object.entries(promptsByName).map(
([name, promptData]) => (
<CommandItem
key={name}
onSelect={() => {
setSelectedPromptName(name);
const latestVersion = promptData[0];
setSelectedPromptVersion(
latestVersion.version,
);
form.setValue("promptId", latestVersion.id);
form.clearErrors("promptId");
}}
>
{name}
<CheckIcon
className={cn(
"ml-auto h-4 w-4",
name === selectedPromptName
? "opacity-100"
: "opacity-0",
)}
/>
</CommandItem>
),
)}
</CommandGroup>
</CommandList>
</Command>
</PopoverContent>
</Popover>
<Popover>
<PopoverTrigger asChild>
<Button
disabled={!selectedPromptName}
variant="outline"
role="combobox"
className="w-1/3 justify-between px-2 font-normal"
>
{selectedPromptVersion
? `Version ${selectedPromptVersion}`
: "Version"}
<ChevronDown className="ml-2 h-4 w-4 shrink-0 opacity-50" />
</Button>
</PopoverTrigger>
<PopoverContent
className="w-[--radix-popover-trigger-width] p-0"
align="start"
>
<Command>
<CommandList>
<CommandEmpty>No version found.</CommandEmpty>
<CommandGroup className="overflow-y-auto">
{promptsByName &&
selectedPromptName &&
promptsByName[selectedPromptName] ? (
promptsByName[selectedPromptName].map((prompt) => (
<CommandItem
key={prompt.id}
onSelect={() => {
setSelectedPromptVersion(prompt.version);
form.setValue("promptId", prompt.id);
form.clearErrors("promptId");
}}
>
Version {prompt.version}
<CheckIcon
className={cn(
"ml-auto h-4 w-4",
prompt.version === selectedPromptVersion
? "opacity-100"
: "opacity-0",
)}
/>
</CommandItem>
))
) : (
<CommandItem disabled>
No versions available
</CommandItem>
)}
</CommandGroup>
</CommandList>
</Command>
</PopoverContent>
</Popover>
</div>
<FormMessage />
</FormItem>
)}
/>
<FormField
control={form.control}
name="modelConfig"
render={() => (
<FormItem>
<Card className="p-4">
<ModelParameters
{...{
modelParams,
availableModels,
availableProviders,
updateModelParamValue: updateModelParamValue,
setModelParamEnabled,
modelParamsDescription:
"Select a model which supports function calling.",
}}
evalModelsOnly
/>
</Card>
{form.formState.errors.modelConfig && (
<p
id="modelConfig"
className={cn("text-sm font-medium text-destructive")}
>
{[
form.formState.errors.modelConfig?.model?.message,
form.formState.errors.modelConfig?.provider?.message,
].join(", ")}
</p>
)}
</FormItem>
)}
/>
<FormField
control={form.control}
name="datasetId"
render={({ field }) => (
<FormItem>
<div className="flex items-center gap-2">
<FormLabel>Dataset</FormLabel>
<Popover>
<PopoverTrigger asChild>
<span className="cursor-pointer text-xs text-muted-foreground">
(expected columns)
</span>
</PopoverTrigger>
<PopoverContent className="w-80">
<div className="flex flex-col space-y-2">
<h4 className="text-sm font-medium leading-none">
Expected columns
</h4>
<span className="text-sm text-muted-foreground">
{promptId ? (
<div>
<span>
Given current prompt, dataset item input must
contain at least one of these first-level JSON
keys, mapped to a string value:
</span>
<ul className="my-2 ml-2 list-inside list-disc">
{expectedColumns.map((col) => (
<li key={col}>{col}</li>
))}
</ul>
<span>
These will be used as the input to your prompt.
</span>
</div>
) : (
"Please select a prompt first"
)}
</span>
</div>
</PopoverContent>
</Popover>
</div>
<Select onValueChange={field.onChange} defaultValue={field.value}>
<FormControl>
<SelectTrigger>
<SelectValue placeholder="Select a dataset" />
</SelectTrigger>
</FormControl>
<SelectContent>
{datasets.data?.map((dataset) => (
<SelectItem value={dataset.id} key={dataset.id}>
{dataset.name}
</SelectItem>
))}
</SelectContent>
</Select>
<FormMessage />
</FormItem>
)}
/>
{evaluators.data && !!datasetId ? (
<FormItem>
<FormLabel>Evaluators</FormLabel>
<FormDescription>
Will run against your experiment results.
</FormDescription>
<MultiSelectKeyValues
key={datasetId}
placeholder="Value"
align="end"
className="grid grid-cols-[auto,1fr,auto,auto] gap-2"
disabled={!hasEvalWriteAccess}
onValueChange={handleOnValueChange}
options={evaluatorOptions}
values={
selectedEvaluators as {
value: string;
key: string;
}[]
}
hideClearButton
controlButtons={
<CommandItem
onSelect={() => {
window.open(`/project/${projectId}/evals`, "_blank");
}}
>
Manage evaluators
</CommandItem>
}
/>
</FormItem>
) : (
<FormItem>
<FormLabel>Evaluators</FormLabel>
{hasEvalReadAccess ? (
<FormDescription>
Select a dataset first to set up evaluators.
</FormDescription>
) : (
<FormDescription>
You do not have access to view evaluators. Please contact your
admin to upgrade your role.
</FormDescription>
)}
</FormItem>
)}
<div className="mt-4 flex flex-col gap-4">
{validationResult.isLoading && Boolean(promptId && datasetId) && (
<Card className="relative overflow-hidden rounded-md shadow-none group-data-[collapsible=icon]:hidden">
<CardHeader className="p-2">
<CardTitle className="flex items-center justify-between text-sm">
<span>Validating configuration...</span>
<Loader2 className="h-3 w-3 animate-spin" />
</CardTitle>
<CardDescription className="text-foreground">
Checking dataset items against prompt variables
</CardDescription>
</CardHeader>
</Card>
)}
{validationResult.data?.isValid === false && (
<Card className="relative overflow-hidden rounded-md border-dark-yellow bg-light-yellow shadow-none group-data-[collapsible=icon]:hidden">
<CardHeader className="p-2">
<CardTitle className="flex items-center justify-between text-sm text-dark-yellow">
<span>Invalid configuration</span>
{/* TODO: add link to docs explaining error cases */}
<Info className="h-4 w-4" />
</CardTitle>
<CardDescription className="text-foreground">
{validationResult.data?.message}
</CardDescription>
</CardHeader>
</Card>
)}
{validationResult.data?.isValid === true && (
<Card className="relative overflow-hidden rounded-md border-dark-green bg-light-green shadow-none group-data-[collapsible=icon]:hidden">
<CardHeader className="p-2">
<CardTitle className="flex items-center justify-between text-sm text-dark-green">
<span>Valid configuration</span>
<CircleCheck className="h-4 w-4" />
</CardTitle>
<div className="text-sm">
Matches between dataset items and prompt variables
<ul className="my-2 ml-2 list-inside list-disc">
{Object.entries(
validationResult.data.variablesMap ?? {},
).map(([variable, count]) => (
<li key={variable}>
<strong>{variable}:</strong> {count} /{" "}
{validationResult.data?.isValid
? validationResult.data.totalItems
: "unknown"}
</li>
))}
</ul>
Items missing all prompt variables will be excluded from the
experiment.
</div>
</CardHeader>
</Card>
)}
<div className="flex justify-end">
<Button
type="submit"
disabled={
Boolean(promptId && datasetId) &&
!validationResult.data?.isValid
}
loading={form.formState.isSubmitting}
>
Create
</Button>
</div>
</div>
</form>
</Form>
);
};
@@ -0,0 +1,220 @@
import { z } from "zod";
import { randomUUID } from "crypto";
import {
type ExperimentMetadata,
QueueJobs,
QueueName,
redis,
ZodModelConfig,
ExperimentCreateQueue,
} from "@langfuse/shared/src/server";
import { env } from "@/src/env.mjs";
import {
createTRPCRouter,
protectedProjectProcedure,
} from "@/src/server/api/trpc";
import { PromptType } from "@/src/features/prompts/server/utils/validation";
import {
type DatasetItem,
extractVariables,
UnauthorizedError,
} from "@langfuse/shared";
import { throwIfNoEntitlement } from "@/src/features/entitlements/server/hasEntitlement";
import { throwIfNoProjectAccess } from "@/src/features/rbac/utils/checkProjectAccess";
const ValidConfigResponse = z.object({
isValid: z.literal(true),
totalItems: z.number(),
variablesMap: z.record(z.string(), z.number()),
});
const InvalidConfigResponse = z.object({
isValid: z.literal(false),
message: z.string(),
});
const ConfigResponse = z.discriminatedUnion("isValid", [
ValidConfigResponse,
InvalidConfigResponse,
]);
const validateDatasetItems = (
datasetItems: DatasetItem[],
variables: string[],
): Record<string, number> => {
const variableMap: Record<string, number> = {};
for (const { input } of datasetItems) {
if (!input) {
continue;
}
const inputKeys = Object.keys(input);
// For each variable, increment its count if it exists in this item
for (const variable of variables) {
if (inputKeys.includes(variable)) {
variableMap[variable] = (variableMap[variable] || 0) + 1;
}
}
}
return variableMap;
};
export const experimentsRouter = createTRPCRouter({
validateConfig: protectedProjectProcedure
.input(
z.object({
projectId: z.string(),
datasetId: z.string(),
promptId: z.string(),
}),
)
.output(ConfigResponse)
.query(async ({ input, ctx }) => {
throwIfNoEntitlement({
entitlement: "experiments",
projectId: input.projectId,
sessionUser: ctx.session.user,
});
throwIfNoProjectAccess({
session: ctx.session,
projectId: input.projectId,
scope: "experiments:CUD",
});
const prompt = await ctx.prisma.prompt.findFirst({
where: {
id: input.promptId,
projectId: input.projectId,
},
});
if (!prompt) {
return {
isValid: false,
message: "Selected prompt not found.",
};
}
const extractedVariables = extractVariables(
prompt?.type === PromptType.Text
? (prompt.prompt?.toString() ?? "")
: JSON.stringify(prompt.prompt),
);
if (!Boolean(extractedVariables.length)) {
return {
isValid: false,
message: "Selected prompt has no variables.",
};
}
const datasetItems = await ctx.prisma.datasetItem.findMany({
where: {
datasetId: input.datasetId,
projectId: input.projectId,
},
});
if (!Boolean(datasetItems.length)) {
return {
isValid: false,
message: "Selected dataset is empty.",
};
}
const variablesMap = validateDatasetItems(
datasetItems,
extractedVariables,
);
if (!Boolean(Object.keys(variablesMap).length)) {
return {
isValid: false,
message: "No dataset item contains any variables.",
};
}
return {
isValid: true,
totalItems: datasetItems.length,
variablesMap: variablesMap,
};
}),
createExperiment: protectedProjectProcedure
.input(
z.object({
projectId: z.string(),
name: z.string().optional(),
promptId: z.string().min(1, "Please select a prompt"),
datasetId: z.string().min(1, "Please select a dataset"),
description: z.string().max(1000).optional(),
modelConfig: z.object({
provider: z.string().min(1, "Please select a provider"),
model: z.string().min(1, "Please select a model"),
modelParams: ZodModelConfig,
}),
}),
)
.mutation(async ({ input, ctx }) => {
throwIfNoEntitlement({
entitlement: "experiments",
projectId: input.projectId,
sessionUser: ctx.session.user,
});
throwIfNoProjectAccess({
session: ctx.session,
projectId: input.projectId,
scope: "experiments:CUD",
});
if (!redis || !env.NEXT_PUBLIC_LANGFUSE_CLOUD_REGION) {
throw new UnauthorizedError("Experiment creation failed");
}
const metadata: ExperimentMetadata = {
prompt_id: input.promptId,
provider: input.modelConfig.provider,
model: input.modelConfig.model,
model_params: input.modelConfig.modelParams,
};
const name =
input.name ?? `${input.promptId}-${new Date().toISOString()}`;
const datasetRun = await ctx.prisma.datasetRuns.create({
data: {
name: name,
description: input.description,
datasetId: input.datasetId,
metadata: metadata,
projectId: input.projectId,
},
});
const queue = ExperimentCreateQueue.getInstance();
if (queue) {
await queue.add(QueueName.ExperimentCreate, {
name: QueueJobs.ExperimentCreateJob,
id: randomUUID(),
timestamp: new Date(),
payload: {
projectId: input.projectId,
datasetId: input.datasetId,
runId: datasetRun.id,
description: input.description,
},
});
}
return {
success: true,
datasetId: input.datasetId,
runId: datasetRun.id,
runName: name,
};
}),
});
@@ -28,6 +28,20 @@ export const GithubProviderSchema = base.extend({
.nullish(),
});
export const GithubEnterpriseProviderSchema = base.extend({
authProvider: z.literal("github-enterprise"),
authConfig: z
.object({
clientId: z.string(),
clientSecret: z.string(),
enterprise: z.object({
baseUrl: z.string().url(),
}),
allowDangerousEmailAccountLinking: z.boolean().optional().default(false),
})
.nullish(),
});
export const GitlabProviderSchema = base.extend({
authProvider: z.literal("gitlab"),
authConfig: z
@@ -88,6 +102,18 @@ export const CognitoProviderSchema = base.extend({
.nullish(),
});
export const KeycloakProviderSchema = base.extend({
authProvider: z.literal("keycloak"),
authConfig: z
.object({
clientId: z.string(),
clientSecret: z.string(),
issuer: z.string(),
allowDangerousEmailAccountLinking: z.boolean().optional().default(false),
})
.nullish(),
});
export const CustomProviderSchema = base.extend({
authProvider: z.literal("custom"),
authConfig: z
@@ -97,6 +123,7 @@ export const CustomProviderSchema = base.extend({
clientSecret: z.string(),
issuer: z.string(),
scope: z.string().nullish(),
idToken: z.boolean().optional().default(true),
allowDangerousEmailAccountLinking: z.boolean().optional().default(false),
})
.nullish(),
@@ -104,21 +131,27 @@ export const CustomProviderSchema = base.extend({
export type GoogleProviderSchema = z.infer<typeof GoogleProviderSchema>;
export type GithubProviderSchema = z.infer<typeof GithubProviderSchema>;
export type GithubEnterpriseProviderSchema = z.infer<
typeof GithubEnterpriseProviderSchema
>;
export type GitlabProviderSchema = z.infer<typeof GitlabProviderSchema>;
export type Auth0ProviderSchema = z.infer<typeof Auth0ProviderSchema>;
export type OktaProviderSchema = z.infer<typeof OktaProviderSchema>;
export type AzureAdProviderSchema = z.infer<typeof AzureAdProviderSchema>;
export type CognitoProviderSchema = z.infer<typeof CognitoProviderSchema>;
export type KeycloakProviderSchema = z.infer<typeof KeycloakProviderSchema>;
export type CustomProviderSchema = z.infer<typeof CustomProviderSchema>;
export const SsoProviderSchema = z.discriminatedUnion("authProvider", [
GoogleProviderSchema,
GithubProviderSchema,
GithubEnterpriseProviderSchema,
GitlabProviderSchema,
Auth0ProviderSchema,
OktaProviderSchema,
AzureAdProviderSchema,
CognitoProviderSchema,
KeycloakProviderSchema,
CustomProviderSchema,
]);
@@ -4,6 +4,7 @@ import GitHubProvider from "next-auth/providers/github";
import GitLabProvider from "next-auth/providers/gitlab";
import OktaProvider from "next-auth/providers/okta";
import CognitoProvider from "next-auth/providers/cognito";
import KeycloakProvider from "next-auth/providers/keycloak";
import Auth0Provider from "next-auth/providers/auth0";
import AzureADProvider from "next-auth/providers/azure-ad";
import { isEeEnabled } from "@/src/ee/utils/isEeEnabled";
@@ -12,6 +13,7 @@ import { decrypt } from "@langfuse/shared/encryption";
import { SsoProviderSchema } from "./types";
import {
CustomSSOProvider,
GitHubEnterpriseProvider,
logger,
traceException,
} from "@langfuse/shared/src/server";
@@ -188,6 +190,12 @@ const dbToNextAuthProvider = (provider: SsoProviderSchema): Provider | null => {
...provider.authConfig,
clientSecret: decrypt(provider.authConfig.clientSecret),
});
else if (provider.authProvider === "keycloak")
return KeycloakProvider({
id: getAuthProviderIdForSsoConfig(provider), // use the domain as the provider id as we use domain-specific credentials
...provider.authConfig,
clientSecret: decrypt(provider.authConfig.clientSecret),
});
else if (provider.authProvider === "custom")
return CustomSSOProvider({
id: getAuthProviderIdForSsoConfig(provider), // use the domain as the provider id as we use domain-specific credentials
@@ -197,6 +205,15 @@ const dbToNextAuthProvider = (provider: SsoProviderSchema): Provider | null => {
params: { scope: provider.authConfig.scope ?? "openid email profile" },
},
});
else if (provider.authProvider === "github-enterprise")
return GitHubEnterpriseProvider({
id: getAuthProviderIdForSsoConfig(provider), // use the domain as the provider id as we use domain-specific credentials
...provider.authConfig,
clientSecret: decrypt(provider.authConfig.clientSecret),
enterprise: {
baseUrl: provider.authConfig.enterprise.baseUrl,
},
});
else {
// Type check to ensure we handle all providers
// eslint-disable-next-line @typescript-eslint/no-unused-vars
@@ -16,9 +16,9 @@ import usePlaygroundCache from "@/src/ee/features/playground/page/hooks/usePlayg
import { getFinalModelParams } from "@/src/ee/utils/getFinalModelParams";
import { usePostHogClientCapture } from "@/src/features/posthog-analytics/usePostHogClientCapture";
import useProjectIdFromURL from "@/src/hooks/useProjectIdFromURL";
import { extractVariables } from "@/src/utils/string";
import {
ChatMessageRole,
extractVariables,
type ChatMessageWithId,
type PromptVariable,
type UIModelParams,
@@ -45,7 +45,7 @@ export default async function chatCompletionHandler(req: NextRequest) {
);
}
const stream = await fetchLLMCompletion({
const { completion } = await fetchLLMCompletion({
messages,
modelParams,
streaming: true,
@@ -55,7 +55,7 @@ export default async function chatCompletionHandler(req: NextRequest) {
config: parsedKey.data.config,
});
return new StreamingTextResponse(stream);
return new StreamingTextResponse(completion);
} catch (err) {
logger.error("Failed to handle chat completion", err);
+98 -48
View File
@@ -1,6 +1,26 @@
import { z } from "zod";
import { createEnv } from "@t3-oss/env-nextjs";
const zAuthMethod = z
.enum([
"client_secret_basic",
"client_secret_post",
"client_secret_jwt",
"private_key_jwt",
"tls_client_auth",
"self_signed_tls_client_auth",
"none",
])
.optional()
.default("client_secret_basic");
const zAuthChecks = z
.string()
.optional()
.transform((s) => s?.split(",").map((s) => s.trim()))
.pipe(z.array(z.enum(["nonce", "none", "pkce", "state"])).optional());
export const env = createEnv({
/**
* Specify your server-side environment variables schema here. This way you can ensure the app
@@ -46,7 +66,7 @@ export const env = createEnv({
LANGFUSE_DEFAULT_PROJECT_ROLE: z
.enum(["OWNER", "ADMIN", "MEMBER", "VIEWER"])
.optional(),
LANGFUSE_CSP_ENFORCE_HTTPS: z.enum(["true", "false"]).optional(),
LANGFUSE_CSP_ENFORCE_HTTPS: z.enum(["true", "false"]).optional().default("false"),
// Telemetry
TELEMETRY_ENABLED: z.enum(["true", "false"]).optional(),
// AUTH
@@ -54,36 +74,68 @@ export const env = createEnv({
AUTH_GOOGLE_CLIENT_SECRET: z.string().optional(),
AUTH_GOOGLE_ALLOWED_DOMAINS: z.string().optional(),
AUTH_GOOGLE_ALLOW_ACCOUNT_LINKING: z.enum(["true", "false"]).optional(),
AUTH_GOOGLE_CLIENT_AUTH_METHOD: zAuthMethod,
AUTH_GOOGLE_CHECKS: zAuthChecks,
AUTH_GITHUB_CLIENT_ID: z.string().optional(),
AUTH_GITHUB_CLIENT_SECRET: z.string().optional(),
AUTH_GITHUB_ALLOW_ACCOUNT_LINKING: z.enum(["true", "false"]).optional(),
AUTH_GITHUB_CLIENT_AUTH_METHOD: zAuthMethod,
AUTH_GITHUB_CHECKS: zAuthChecks,
AUTH_GITHUB_ENTERPRISE_CLIENT_ID: z.string().optional(),
AUTH_GITHUB_ENTERPRISE_CLIENT_SECRET: z.string().optional(),
AUTH_GITHUB_ENTERPRISE_BASE_URL: z.string().optional(),
AUTH_GITHUB_ENTERPRISE_ALLOW_ACCOUNT_LINKING: z
.enum(["true", "false"])
.optional(),
AUTH_GITHUB_ENTERPRISE_CLIENT_AUTH_METHOD: zAuthMethod,
AUTH_GITHUB_ENTERPRISE_CHECKS: zAuthChecks,
AUTH_GITLAB_CLIENT_ID: z.string().optional(),
AUTH_GITLAB_CLIENT_SECRET: z.string().optional(),
AUTH_GITLAB_ALLOW_ACCOUNT_LINKING: z.enum(["true", "false"]).optional(),
AUTH_GITLAB_ISSUER: z.string().optional(),
AUTH_GITLAB_CLIENT_AUTH_METHOD: zAuthMethod,
AUTH_GITLAB_CHECKS: zAuthChecks,
AUTH_AZURE_AD_CLIENT_ID: z.string().optional(),
AUTH_AZURE_AD_CLIENT_SECRET: z.string().optional(),
AUTH_AZURE_AD_TENANT_ID: z.string().optional(),
AUTH_AZURE_ALLOW_ACCOUNT_LINKING: z.enum(["true", "false"]).optional(),
AUTH_AZURE_CLIENT_AUTH_METHOD: zAuthMethod,
AUTH_AZURE_CHECKS: zAuthChecks,
AUTH_OKTA_CLIENT_ID: z.string().optional(),
AUTH_OKTA_CLIENT_SECRET: z.string().optional(),
AUTH_OKTA_ISSUER: z.string().optional(),
AUTH_OKTA_ALLOW_ACCOUNT_LINKING: z.enum(["true", "false"]).optional(),
AUTH_OKTA_CHECKS: zAuthChecks,
AUTH_OKTA_CLIENT_AUTH_METHOD: zAuthMethod,
AUTH_AUTH0_CLIENT_ID: z.string().optional(),
AUTH_AUTH0_CLIENT_SECRET: z.string().optional(),
AUTH_AUTH0_ISSUER: z.string().url().optional(),
AUTH_AUTH0_ALLOW_ACCOUNT_LINKING: z.enum(["true", "false"]).optional(),
AUTH_AUTH0_CLIENT_AUTH_METHOD: zAuthMethod,
AUTH_AUTH0_CHECKS: zAuthChecks,
AUTH_COGNITO_CLIENT_ID: z.string().optional(),
AUTH_COGNITO_CLIENT_SECRET: z.string().optional(),
AUTH_COGNITO_ISSUER: z.string().url().optional(),
AUTH_COGNITO_ALLOW_ACCOUNT_LINKING: z.enum(["true", "false"]).optional(),
AUTH_COGNITO_CLIENT_AUTH_METHOD: zAuthMethod,
AUTH_COGNITO_CHECKS: zAuthChecks,
AUTH_KEYCLOAK_CLIENT_ID: z.string().optional(),
AUTH_KEYCLOAK_CLIENT_SECRET: z.string().optional(),
AUTH_KEYCLOAK_ISSUER: z.string().optional(),
AUTH_KEYCLOAK_ALLOW_ACCOUNT_LINKING: z.enum(["true", "false"]).optional(),
AUTH_KEYCLOAK_CLIENT_AUTH_METHOD: zAuthMethod,
AUTH_KEYCLOAK_CHECKS: zAuthChecks,
AUTH_CUSTOM_CLIENT_ID: z.string().optional(),
AUTH_CUSTOM_CLIENT_SECRET: z.string().optional(),
AUTH_CUSTOM_ISSUER: z.string().url().optional(),
AUTH_CUSTOM_NAME: z.string().optional(),
AUTH_CUSTOM_SCOPE: z.string().optional(),
AUTH_CUSTOM_CLIENT_AUTH_METHOD: zAuthMethod,
AUTH_CUSTOM_CHECKS: zAuthChecks,
AUTH_CUSTOM_ALLOW_ACCOUNT_LINKING: z.enum(["true", "false"]).optional(),
AUTH_CUSTOM_ID_TOKEN: z.enum(["true", "false"]).optional(),
AUTH_DOMAINS_WITH_SSO_ENFORCEMENT: z.string().optional(),
AUTH_IGNORE_ACCOUNT_FIELDS: z.string().optional(),
AUTH_DISABLE_USERNAME_PASSWORD: z.enum(["true", "false"]).optional(),
AUTH_DISABLE_SIGNUP: z.enum(["true", "false"]).optional(),
AUTH_SESSION_MAX_AGE: z.coerce
@@ -95,6 +147,8 @@ export const env = createEnv({
)
.optional()
.default(30 * 24 * 60), // default to 30 days
AUTH_HTTP_PROXY: z.string().url().optional(),
AUTH_HTTPS_PROXY: z.string().url().optional(),
// EMAIL
EMAIL_FROM_ADDRESS: z.string().optional(),
SMTP_CONNECTION_URL: z.string().optional(),
@@ -119,6 +173,7 @@ export const env = createEnv({
CLICKHOUSE_URL: z.string().optional(),
CLICKHOUSE_USER: z.string().optional(),
CLICKHOUSE_PASSWORD: z.string().optional(),
CLICKHOUSE_CLUSTER_ENABLED: z.enum(["true", "false"]).default("false"),
// EE ui customization
LANGFUSE_UI_API_HOST: z.string().optional(),
LANGFUSE_UI_DOCUMENTATION_HREF: z.string().url().optional(),
@@ -182,26 +237,6 @@ export const env = createEnv({
.nonnegative()
.default(3600),
// Ingestion event upload to S3
LANGFUSE_S3_EVENT_UPLOAD_ENABLED: z
.enum(["true", "false"])
.default("false"),
LANGFUSE_S3_EVENT_UPLOAD_BUCKET: z.string().optional(),
LANGFUSE_S3_EVENT_UPLOAD_PREFIX: z.string().default(""),
LANGFUSE_S3_EVENT_UPLOAD_REGION: z.string().optional(),
LANGFUSE_S3_EVENT_UPLOAD_ENDPOINT: z.string().optional(),
LANGFUSE_S3_EVENT_UPLOAD_ACCESS_KEY_ID: z.string().optional(),
LANGFUSE_S3_EVENT_UPLOAD_SECRET_ACCESS_KEY: z.string().optional(),
LANGFUSE_S3_EVENT_UPLOAD_FORCE_PATH_STYLE: z
.enum(["true", "false"])
.default("false"),
LANGFUSE_ASYNC_INGESTION_PROCESSING: z
.enum(["true", "false"])
.default("false"),
LANGFUSE_ASYNC_CLICKHOUSE_INGESTION_PROCESSING: z
.enum(["true", "false"])
.default("false"),
LANGFUSE_ALLOWED_ORGANIZATION_CREATORS: z
.string()
.optional()
@@ -213,13 +248,10 @@ export const env = createEnv({
(creator) => emailSchema.safeParse(creator).success,
);
}, "LANGFUSE_ALLOWED_ORGANIZATION_CREATORS must be a comma separated list of valid email addresses"),
LANGFUSE_INGESTION_QUEUE_DELAY_MS: z.coerce
.number()
.nonnegative()
.default(15_000),
LANGFUSE_READ_FROM_POSTGRES_ONLY: z.enum(["true", "false"]).default("true"),
LANGFUSE_RETURN_FROM_CLICKHOUSE: z.enum(["true", "false"]).default("false"),
LANGFUSE_EXPERIMENT_EXCLUDED_PROJECT_IDS: z.string().optional(),
LANGFUSE_EXPERIMENT_EXCLUDED_OPERATIONS: z.string().optional(),
LANGFUSE_READ_DASHBOARDS_FROM_CLICKHOUSE: z
.enum(["true", "false"])
.default("false"),
@@ -288,6 +320,8 @@ export const env = createEnv({
NEXT_PUBLIC_SIGN_UP_DISABLED: process.env.NEXT_PUBLIC_SIGN_UP_DISABLED,
LANGFUSE_ENABLE_EXPERIMENTAL_FEATURES:
process.env.LANGFUSE_ENABLE_EXPERIMENTAL_FEATURES,
LANGFUSE_EXPERIMENT_EXCLUDED_OPERATIONS:
process.env.LANGFUSE_EXPERIMENT_EXCLUDED_OPERATIONS,
LANGFUSE_DISABLE_EXPENSIVE_POSTGRES_QUERIES:
process.env.LANGFUSE_DISABLE_EXPENSIVE_POSTGRES_QUERIES,
LANGFUSE_TEAM_SLACK_WEBHOOK: process.env.LANGFUSE_TEAM_SLACK_WEBHOOK,
@@ -307,47 +341,85 @@ export const env = createEnv({
AUTH_GOOGLE_ALLOWED_DOMAINS: process.env.AUTH_GOOGLE_ALLOWED_DOMAINS,
AUTH_GOOGLE_ALLOW_ACCOUNT_LINKING:
process.env.AUTH_GOOGLE_ALLOW_ACCOUNT_LINKING,
AUTH_GOOGLE_CLIENT_AUTH_METHOD: process.env.AUTH_GOOGLE_CLIENT_AUTH_METHOD,
AUTH_GOOGLE_CHECKS: process.env.AUTH_GOOGLE_CHECKS,
AUTH_GITHUB_CLIENT_ID: process.env.AUTH_GITHUB_CLIENT_ID,
AUTH_GITHUB_CLIENT_SECRET: process.env.AUTH_GITHUB_CLIENT_SECRET,
AUTH_GITHUB_ALLOW_ACCOUNT_LINKING:
process.env.AUTH_GITHUB_ALLOW_ACCOUNT_LINKING,
AUTH_GITHUB_CLIENT_AUTH_METHOD: process.env.AUTH_GITHUB_CLIENT_AUTH_METHOD,
AUTH_GITHUB_CHECKS: process.env.AUTH_GITHUB_CHECKS,
AUTH_GITHUB_ENTERPRISE_CLIENT_ID:
process.env.AUTH_GITHUB_ENTERPRISE_CLIENT_ID,
AUTH_GITHUB_ENTERPRISE_CLIENT_SECRET:
process.env.AUTH_GITHUB_ENTERPRISE_CLIENT_SECRET,
AUTH_GITHUB_ENTERPRISE_BASE_URL:
process.env.AUTH_GITHUB_ENTERPRISE_BASE_URL,
AUTH_GITHUB_ENTERPRISE_ALLOW_ACCOUNT_LINKING:
process.env.AUTH_GITHUB_ENTERPRISE_ALLOW_ACCOUNT_LINKING,
AUTH_GITHUB_ENTERPRISE_CLIENT_AUTH_METHOD:
process.env.AUTH_GITHUB_ENTERPRISE_CLIENT_AUTH_METHOD,
AUTH_GITHUB_ENTERPRISE_CHECKS: process.env.AUTH_GITHUB_ENTERPRISE_CHECKS,
AUTH_GITLAB_ISSUER: process.env.AUTH_GITLAB_ISSUER,
AUTH_GITLAB_CLIENT_ID: process.env.AUTH_GITLAB_CLIENT_ID,
AUTH_GITLAB_CLIENT_SECRET: process.env.AUTH_GITLAB_CLIENT_SECRET,
AUTH_GITLAB_ALLOW_ACCOUNT_LINKING:
process.env.AUTH_GITLAB_ALLOW_ACCOUNT_LINKING,
AUTH_GITLAB_CLIENT_AUTH_METHOD: process.env.AUTH_GITLAB_CLIENT_AUTH_METHOD,
AUTH_GITLAB_CHECKS: process.env.AUTH_GITLAB_CHECKS,
AUTH_AZURE_AD_CLIENT_ID: process.env.AUTH_AZURE_AD_CLIENT_ID,
AUTH_AZURE_AD_CLIENT_SECRET: process.env.AUTH_AZURE_AD_CLIENT_SECRET,
AUTH_AZURE_AD_TENANT_ID: process.env.AUTH_AZURE_AD_TENANT_ID,
AUTH_AZURE_ALLOW_ACCOUNT_LINKING:
process.env.AUTH_AZURE_ALLOW_ACCOUNT_LINKING,
AUTH_AZURE_CLIENT_AUTH_METHOD: process.env.AUTH_AZURE_CLIENT_AUTH_METHOD,
AUTH_AZURE_CHECKS: process.env.AUTH_AZURE_CHECKS,
AUTH_OKTA_CLIENT_ID: process.env.AUTH_OKTA_CLIENT_ID,
AUTH_OKTA_CLIENT_SECRET: process.env.AUTH_OKTA_CLIENT_SECRET,
AUTH_OKTA_ISSUER: process.env.AUTH_OKTA_ISSUER,
AUTH_OKTA_ALLOW_ACCOUNT_LINKING:
process.env.AUTH_OKTA_ALLOW_ACCOUNT_LINKING,
AUTH_OKTA_CLIENT_AUTH_METHOD: process.env.AUTH_OKTA_CLIENT_AUTH_METHOD,
AUTH_OKTA_CHECKS: process.env.AUTH_OKTA_CHECKS,
AUTH_AUTH0_CLIENT_ID: process.env.AUTH_AUTH0_CLIENT_ID,
AUTH_AUTH0_CLIENT_SECRET: process.env.AUTH_AUTH0_CLIENT_SECRET,
AUTH_AUTH0_ISSUER: process.env.AUTH_AUTH0_ISSUER,
AUTH_AUTH0_ALLOW_ACCOUNT_LINKING:
process.env.AUTH_AUTH0_ALLOW_ACCOUNT_LINKING,
AUTH_AUTH0_CLIENT_AUTH_METHOD: process.env.AUTH_AUTH0_CLIENT_AUTH_METHOD,
AUTH_AUTH0_CHECKS: process.env.AUTH_AUTH0_CHECKS,
AUTH_COGNITO_CLIENT_ID: process.env.AUTH_COGNITO_CLIENT_ID,
AUTH_COGNITO_CLIENT_SECRET: process.env.AUTH_COGNITO_CLIENT_SECRET,
AUTH_COGNITO_ISSUER: process.env.AUTH_COGNITO_ISSUER,
AUTH_COGNITO_ALLOW_ACCOUNT_LINKING:
process.env.AUTH_COGNITO_ALLOW_ACCOUNT_LINKING,
AUTH_COGNITO_CLIENT_AUTH_METHOD: process.env.AUTH_COGNITO_CLIENT_AUTH_METHOD,
AUTH_COGNITO_CHECKS: process.env.AUTH_COGNITO_CHECKS,
AUTH_KEYCLOAK_CLIENT_ID: process.env.AUTH_KEYCLOAK_CLIENT_ID,
AUTH_KEYCLOAK_CLIENT_SECRET: process.env.AUTH_KEYCLOAK_CLIENT_SECRET,
AUTH_KEYCLOAK_ISSUER: process.env.AUTH_KEYCLOAK_ISSUER,
AUTH_KEYCLOAK_ALLOW_ACCOUNT_LINKING:
process.env.AUTH_KEYCLOAK_ALLOW_ACCOUNT_LINKING,
AUTH_KEYCLOAK_CLIENT_AUTH_METHOD: process.env.AUTH_KEYCLOAK_CLIENT_AUTH_METHOD,
AUTH_KEYCLOAK_CHECKS: process.env.AUTH_KEYCLOAK_CHECKS,
AUTH_CUSTOM_CLIENT_ID: process.env.AUTH_CUSTOM_CLIENT_ID,
AUTH_CUSTOM_CLIENT_SECRET: process.env.AUTH_CUSTOM_CLIENT_SECRET,
AUTH_CUSTOM_ISSUER: process.env.AUTH_CUSTOM_ISSUER,
AUTH_CUSTOM_NAME: process.env.AUTH_CUSTOM_NAME,
AUTH_CUSTOM_SCOPE: process.env.AUTH_CUSTOM_SCOPE,
AUTH_CUSTOM_CLIENT_AUTH_METHOD: process.env.AUTH_CUSTOM_CLIENT_AUTH_METHOD,
AUTH_CUSTOM_CHECKS: process.env.AUTH_CUSTOM_CHECKS,
AUTH_CUSTOM_ALLOW_ACCOUNT_LINKING:
process.env.AUTH_CUSTOM_ALLOW_ACCOUNT_LINKING,
AUTH_CUSTOM_ID_TOKEN: process.env.AUTH_CUSTOM_ID_TOKEN,
AUTH_IGNORE_ACCOUNT_FIELDS: process.env.AUTH_IGNORE_ACCOUNT_FIELDS,
AUTH_DOMAINS_WITH_SSO_ENFORCEMENT:
process.env.AUTH_DOMAINS_WITH_SSO_ENFORCEMENT,
AUTH_DISABLE_USERNAME_PASSWORD: process.env.AUTH_DISABLE_USERNAME_PASSWORD,
AUTH_DISABLE_SIGNUP: process.env.AUTH_DISABLE_SIGNUP,
AUTH_SESSION_MAX_AGE: process.env.AUTH_SESSION_MAX_AGE,
AUTH_HTTP_PROXY: process.env.AUTH_HTTP_PROXY,
AUTH_HTTPS_PROXY: process.env.AUTH_HTTPS_PROXY,
// Email
EMAIL_FROM_ADDRESS: process.env.EMAIL_FROM_ADDRESS,
SMTP_CONNECTION_URL: process.env.SMTP_CONNECTION_URL,
@@ -384,23 +456,6 @@ export const env = createEnv({
process.env.LANGFUSE_S3_MEDIA_UPLOAD_FORCE_PATH_STYLE,
LANGFUSE_S3_MEDIA_DOWNLOAD_URL_EXPIRY_SECONDS:
process.env.LANGFUSE_S3_MEDIA_DOWNLOAD_URL_EXPIRY_SECONDS,
// S3 event upload
LANGFUSE_S3_EVENT_UPLOAD_ENABLED:
process.env.LANGFUSE_S3_EVENT_UPLOAD_ENABLED,
LANGFUSE_S3_EVENT_UPLOAD_BUCKET:
process.env.LANGFUSE_S3_EVENT_UPLOAD_BUCKET,
LANGFUSE_S3_EVENT_UPLOAD_PREFIX:
process.env.LANGFUSE_S3_EVENT_UPLOAD_PREFIX,
LANGFUSE_S3_EVENT_UPLOAD_REGION:
process.env.LANGFUSE_S3_EVENT_UPLOAD_REGION,
LANGFUSE_S3_EVENT_UPLOAD_ENDPOINT:
process.env.LANGFUSE_S3_EVENT_UPLOAD_ENDPOINT,
LANGFUSE_S3_EVENT_UPLOAD_ACCESS_KEY_ID:
process.env.LANGFUSE_S3_EVENT_UPLOAD_ACCESS_KEY_ID,
LANGFUSE_S3_EVENT_UPLOAD_SECRET_ACCESS_KEY:
process.env.LANGFUSE_S3_EVENT_UPLOAD_SECRET_ACCESS_KEY,
LANGFUSE_S3_EVENT_UPLOAD_FORCE_PATH_STYLE:
process.env.LANGFUSE_S3_EVENT_UPLOAD_FORCE_PATH_STYLE,
// Database exports
DB_EXPORT_PAGE_SIZE: process.env.DB_EXPORT_PAGE_SIZE,
// Worker
@@ -414,6 +469,7 @@ export const env = createEnv({
CLICKHOUSE_URL: process.env.CLICKHOUSE_URL,
CLICKHOUSE_USER: process.env.CLICKHOUSE_USER,
CLICKHOUSE_PASSWORD: process.env.CLICKHOUSE_PASSWORD,
CLICKHOUSE_CLUSTER_ENABLED: process.env.CLICKHOUSE_CLUSTER_ENABLED,
// EE ui customization
LANGFUSE_UI_API_HOST: process.env.LANGFUSE_UI_API_HOST,
LANGFUSE_UI_DOCUMENTATION_HREF: process.env.LANGFUSE_UI_DOCUMENTATION_HREF,
@@ -444,14 +500,8 @@ export const env = createEnv({
LANGFUSE_CACHE_API_KEY_ENABLED: process.env.LANGFUSE_CACHE_API_KEY_ENABLED,
LANGFUSE_CACHE_API_KEY_TTL_SECONDS:
process.env.LANGFUSE_CACHE_API_KEY_TTL_SECONDS,
LANGFUSE_ASYNC_INGESTION_PROCESSING:
process.env.LANGFUSE_ASYNC_INGESTION_PROCESSING,
LANGFUSE_ASYNC_CLICKHOUSE_INGESTION_PROCESSING:
process.env.LANGFUSE_ASYNC_CLICKHOUSE_INGESTION_PROCESSING,
LANGFUSE_ALLOWED_ORGANIZATION_CREATORS:
process.env.LANGFUSE_ALLOWED_ORGANIZATION_CREATORS,
LANGFUSE_INGESTION_QUEUE_DELAY_MS:
process.env.LANGFUSE_INGESTION_QUEUE_DELAY_MS,
LANGFUSE_READ_FROM_POSTGRES_ONLY:
process.env.LANGFUSE_READ_FROM_POSTGRES_ONLY,
LANGFUSE_READ_FROM_CLICKHOUSE_ONLY:
@@ -47,6 +47,7 @@ const DatasetAggregateCell = ({
refetchOnWindowFocus: false,
refetchOnReconnect: false,
staleTime: Infinity,
onError: () => {},
},
);
const observation = api.observations.byId.useQuery(
@@ -66,6 +67,7 @@ const DatasetAggregateCell = ({
refetchOnWindowFocus: false,
refetchOnReconnect: false,
staleTime: Infinity,
onError: () => {},
},
);
@@ -81,7 +83,10 @@ const DatasetAggregateCell = ({
{variant === "peek" && actionButtons}
<div className="flex flex-row items-center justify-center gap-1">
<IOTableCell
isLoading={!!!observationId ? trace.isLoading : observation.isLoading}
isLoading={
(!!!observationId ? trace.isLoading : observation.isLoading) ||
!data
}
data={data?.output}
className={"bg-accent-light-green"}
singleLine={singleLine}
@@ -10,7 +10,7 @@ import { type ScoreAggregate } from "@langfuse/shared";
import { type Prisma } from "@langfuse/shared";
import { NumberParam } from "use-query-params";
import { useQueryParams, withDefault } from "use-query-params";
import { useMemo, useState } from "react";
import { useMemo, useState, useCallback } from "react";
import { usdFormatter } from "@/src/utils/numbers";
import { getScoreDataTypeIcon } from "@/src/features/scores/components/ScoreDetailColumnHelpers";
import { api, type RouterOutputs } from "@/src/utils/api";
@@ -24,6 +24,8 @@ import {
} from "@/src/components/ui/dropdown-menu";
import { DatasetCompareRunPeekView } from "@/src/features/datasets/components/DatasetCompareRunPeekView";
import { useClickhouse } from "@/src/components/layouts/ClickhouseAdminToggle";
import { getQueryKey } from "@trpc/react-query";
import { useQueryClient } from "@tanstack/react-query";
export type RunMetrics = {
id: string;
@@ -47,6 +49,16 @@ export type DatasetCompareRunRowData = {
runs?: RunAggregate;
};
const getRefetchInterval = (
runId: string,
localExperiments: { key: string; value: string }[],
unchangedCounts: Record<string, number>,
) => {
if (unchangedCounts[runId] < 2) return 5000;
if (localExperiments.some((run) => run.key === runId)) return 3000;
return false;
};
const DATASET_RUN_METRICS = ["scores", "resourceMetrics"] as const;
export type DatasetRunMetric = (typeof DATASET_RUN_METRICS)[number];
@@ -55,6 +67,7 @@ export function DatasetCompareRunsTable(props: {
datasetId: string;
runIds: string[];
runsData?: RouterOutputs["datasets"]["baseRunDataByDatasetId"];
localExperiments: { key: string; value: string }[];
}) {
const [selectedMetrics, setSelectedMetrics] = useState<DatasetRunMetric[]>([
"scores",
@@ -69,6 +82,10 @@ export function DatasetCompareRunsTable(props: {
traceId: string;
observationId?: string;
} | null>(null);
const [unchangedCounts, setUnchangedCounts] = useState<
Record<string, number>
>({});
const queryClient = useQueryClient();
const rowHeight = "l";
@@ -84,8 +101,51 @@ export function DatasetCompareRunsTable(props: {
limit: paginationState.pageSize,
});
const queryClickhouse = useClickhouse();
// Individual queries for each run
const runs = (props.runIds ?? []).map((runId) => ({
// 1. First, separate the run definitions
const runQueries = useMemo(
() =>
(props.runIds ?? []).map((runId) => ({
runId,
queryKey: getQueryKey(api.datasets.runitemsByRunIdOrItemId, {
projectId: props.projectId,
datasetRunId: runId,
page: paginationState.pageIndex,
limit: paginationState.pageSize,
queryClickhouse,
}),
})),
[
props.runIds,
props.projectId,
paginationState.pageIndex,
paginationState.pageSize,
queryClickhouse,
],
);
// 2. Track changes using onSuccess callback in the queries instead of useEffect
const handleQuerySuccess = useCallback(
(runId: string, newData: any) => {
setUnchangedCounts((prev) => {
const prevCount = prev[runId] || 0;
const queryKey = runQueries.find((r) => r.runId === runId)?.queryKey;
const prevData = queryClient.getQueryData(queryKey || []);
// Only increment if we have previous data and it matches the new data
if (prevData && JSON.stringify(prevData) === JSON.stringify(newData)) {
const newCount = prevCount + 1;
return { ...prev, [runId]: newCount };
}
return { ...prev, [runId]: 0 };
});
},
[queryClient, runQueries],
);
// 3. Use the queries with success callback
const runs = runQueries.map(({ runId }) => ({
runId,
items: api.datasets.runitemsByRunIdOrItemId.useQuery(
{
@@ -99,8 +159,14 @@ export function DatasetCompareRunsTable(props: {
refetchOnWindowFocus: false,
refetchOnMount: false,
refetchOnReconnect: false,
staleTime: 5 * 60 * 1000, // 5 minutes
staleTime: 5 * 60 * 1000,
enabled: baseDatasetItems.isSuccess,
refetchInterval: getRefetchInterval(
runId,
props.localExperiments,
unchangedCounts,
),
onSuccess: (data) => handleQuerySuccess(runId, data),
},
),
}));
@@ -139,7 +205,7 @@ export function DatasetCompareRunsTable(props: {
{},
);
return baseDatasetItems.data?.map(
return baseDatasetItems.data?.datasetItems.map(
(item): DatasetCompareRunRowData => ({
id: item.id,
input: item.input ?? "null",
@@ -356,7 +422,7 @@ export function DatasetCompareRunsTable(props: {
}
}
pagination={{
totalCount: baseDatasetItems.data?.length ?? null,
totalCount: baseDatasetItems.data?.totalCount ?? null,
onChange: setPaginationState,
state: paginationState,
}}

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