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Author SHA1 Message Date
Jamison Lahman
0c709a4fb6 nit 2026-04-09 08:20:13 -07:00
36 changed files with 1408 additions and 990 deletions

View File

@@ -9,6 +9,7 @@ repos:
rev: d30b4298e4fb63ce8609e29acdbcf4c9018a483c
hooks:
- id: uv-sync
args: ["--locked", "--all-extras"]
- id: uv-lock
- id: uv-export
name: uv-export default.txt
@@ -17,7 +18,7 @@ repos:
"--no-emit-project",
"--no-default-groups",
"--no-hashes",
"--group",
"--extra",
"backend",
"-o",
"backend/requirements/default.txt",
@@ -30,7 +31,7 @@ repos:
"--no-emit-project",
"--no-default-groups",
"--no-hashes",
"--group",
"--extra",
"dev",
"-o",
"backend/requirements/dev.txt",
@@ -43,7 +44,7 @@ repos:
"--no-emit-project",
"--no-default-groups",
"--no-hashes",
"--group",
"--extra",
"ee",
"-o",
"backend/requirements/ee.txt",
@@ -56,7 +57,7 @@ repos:
"--no-emit-project",
"--no-default-groups",
"--no-hashes",
"--group",
"--extra",
"model_server",
"-o",
"backend/requirements/model_server.txt",

3
.vscode/launch.json vendored
View File

@@ -531,7 +531,8 @@
"request": "launch",
"runtimeExecutable": "uv",
"runtimeArgs": [
"sync"
"sync",
"--all-extras"
],
"cwd": "${workspaceFolder}",
"console": "integratedTerminal",

View File

@@ -117,7 +117,7 @@ If using PowerShell, the command slightly differs:
Install the required Python dependencies:
```bash
uv sync
uv sync --all-extras
```
Install Playwright for Python (headless browser required by the Web Connector):

View File

@@ -47,6 +47,8 @@ from onyx.llm.factory import get_llm
from onyx.llm.factory import get_max_input_tokens_from_llm_provider
from onyx.llm.utils import get_bedrock_token_limit
from onyx.llm.utils import get_llm_contextual_cost
from onyx.llm.utils import get_max_input_tokens
from onyx.llm.utils import litellm_thinks_model_supports_image_input
from onyx.llm.utils import test_llm
from onyx.llm.well_known_providers.auto_update_service import (
fetch_llm_recommendations_from_github,
@@ -62,6 +64,8 @@ from onyx.server.manage.llm.models import BedrockFinalModelResponse
from onyx.server.manage.llm.models import BedrockModelsRequest
from onyx.server.manage.llm.models import BifrostFinalModelResponse
from onyx.server.manage.llm.models import BifrostModelsRequest
from onyx.server.manage.llm.models import CustomProviderModelResponse
from onyx.server.manage.llm.models import CustomProviderModelsRequest
from onyx.server.manage.llm.models import CustomProviderOption
from onyx.server.manage.llm.models import DefaultModel
from onyx.server.manage.llm.models import LitellmFinalModelResponse
@@ -276,6 +280,158 @@ def fetch_custom_provider_names(
)
@admin_router.post("/custom/available-models")
def fetch_custom_provider_models(
request: CustomProviderModelsRequest,
_: User = Depends(require_permission(Permission.FULL_ADMIN_PANEL_ACCESS)),
) -> list[CustomProviderModelResponse]:
"""Fetch models for a custom provider.
When ``api_base`` is provided the endpoint hits the provider's
OpenAI-compatible ``/v1/models`` (or ``/{api_version}/models``) to
discover live models. Otherwise it falls back to the static list
that LiteLLM ships for the given provider slug.
In both cases the response is enriched with metadata from LiteLLM
(display name, max input tokens, vision support) when available.
"""
if request.api_base:
return _fetch_custom_models_from_api(
provider=request.provider,
api_base=request.api_base,
api_key=request.api_key,
api_version=request.api_version,
)
return _fetch_custom_models_from_litellm(request.provider)
def _enrich_custom_model(
name: str,
provider: str,
*,
api_display_name: str | None = None,
api_max_input_tokens: int | None = None,
api_supports_image_input: bool | None = None,
) -> CustomProviderModelResponse:
"""Build a ``CustomProviderModelResponse`` enriched with LiteLLM metadata.
Values explicitly provided by the source API take precedence; LiteLLM
metadata is used as a fallback.
"""
from onyx.llm.model_name_parser import parse_litellm_model_name
# LiteLLM keys are typically "provider/model"
litellm_key = f"{provider}/{name}" if not name.startswith(f"{provider}/") else name
parsed = parse_litellm_model_name(litellm_key)
# display_name: prefer API-provided name, then LiteLLM enrichment, then raw name
if api_display_name and api_display_name != name:
display_name = api_display_name
else:
display_name = parsed.display_name or name
# max_input_tokens: prefer API value, then LiteLLM lookup
if api_max_input_tokens is not None:
max_input_tokens: int | None = api_max_input_tokens
else:
try:
max_input_tokens = get_max_input_tokens(name, provider)
except Exception:
max_input_tokens = None
# supports_image_input: prefer API value, then LiteLLM inference
if api_supports_image_input is not None:
supports_image = api_supports_image_input
else:
supports_image = litellm_thinks_model_supports_image_input(name, provider)
return CustomProviderModelResponse(
name=name,
display_name=display_name,
max_input_tokens=max_input_tokens,
supports_image_input=supports_image,
)
def _fetch_custom_models_from_api(
provider: str,
api_base: str,
api_key: str | None,
api_version: str | None,
) -> list[CustomProviderModelResponse]:
"""Hit an OpenAI-compatible ``/v1/models`` (or versioned variant)."""
cleaned = api_base.strip().rstrip("/")
if api_version:
url = f"{cleaned}/{api_version.strip().strip('/')}/models"
elif cleaned.endswith("/v1"):
url = f"{cleaned}/models"
else:
url = f"{cleaned}/v1/models"
response_json = _get_openai_compatible_models_response(
url=url,
source_name="Custom provider",
api_key=api_key,
)
models = response_json.get("data", [])
if not isinstance(models, list) or len(models) == 0:
raise OnyxError(
OnyxErrorCode.VALIDATION_ERROR,
"No models found from the provider's API.",
)
results: list[CustomProviderModelResponse] = []
for model in models:
try:
model_id = model.get("id", "")
if not model_id:
continue
if is_embedding_model(model_id):
continue
results.append(
_enrich_custom_model(
model_id,
provider,
api_display_name=model.get("name"),
api_max_input_tokens=model.get("context_length"),
api_supports_image_input=infer_vision_support(model_id),
)
)
except Exception as e:
logger.warning(
"Failed to parse custom provider model entry",
extra={"error": str(e), "item": str(model)[:1000]},
)
if not results:
raise OnyxError(
OnyxErrorCode.VALIDATION_ERROR,
"No compatible models found from the provider's API.",
)
return sorted(results, key=lambda m: m.name.lower())
def _fetch_custom_models_from_litellm(
provider: str,
) -> list[CustomProviderModelResponse]:
"""Fall back to litellm's static ``models_by_provider`` mapping."""
import litellm
model_names = litellm.models_by_provider.get(provider)
if model_names is None:
raise OnyxError(
OnyxErrorCode.NOT_FOUND,
f"Unknown provider: {provider}",
)
return sorted(
(_enrich_custom_model(name, provider) for name in model_names),
key=lambda m: m.name.lower(),
)
@admin_router.get("/built-in/options")
def fetch_llm_options(
_: User = Depends(require_permission(Permission.FULL_ADMIN_PANEL_ACCESS)),

View File

@@ -477,6 +477,21 @@ class BifrostFinalModelResponse(BaseModel):
supports_reasoning: bool
# Custom provider dynamic models fetch
class CustomProviderModelsRequest(BaseModel):
provider: str # LiteLLM provider slug (e.g. "deepseek", "fireworks_ai")
api_base: str | None = None # If set, fetches live models via /v1/models
api_key: str | None = None
api_version: str | None = None # If set, used to construct the models URL
class CustomProviderModelResponse(BaseModel):
name: str
display_name: str
max_input_tokens: int | None
supports_image_input: bool
# OpenAI Compatible dynamic models fetch
class OpenAICompatibleModelsRequest(BaseModel):
api_base: str

10
backend/pyproject.toml Normal file
View File

@@ -0,0 +1,10 @@
[project]
name = "onyx-backend"
version = "0.0.0"
requires-python = ">=3.11"
dependencies = [
"onyx[backend,dev,ee]",
]
[tool.uv.sources]
onyx = { workspace = true }

View File

@@ -46,11 +46,11 @@ curl -LsSf https://astral.py/uv/install.sh | sh
1. Edit `pyproject.toml`
2. Add/update/remove dependencies in the appropriate section:
- `[dependency-groups]` for dev tools
- `[project.dependencies]` for **shared** dependencies (used by both backend and model_server)
- `[dependency-groups.backend]` for backend-only dependencies
- `[dependency-groups.dev]` for dev tools
- `[dependency-groups.ee]` for EE features
- `[dependency-groups.model_server]` for model_server-only dependencies (ML packages)
- `[project.optional-dependencies.backend]` for backend-only dependencies
- `[project.optional-dependencies.model_server]` for model_server-only dependencies (ML packages)
- `[project.optional-dependencies.ee]` for EE features
3. Commit your changes - pre-commit hooks will automatically regenerate the lock file and requirements
### 3. Generating Lock File and Requirements
@@ -64,10 +64,10 @@ To manually regenerate:
```bash
uv lock
uv export --no-emit-project --no-default-groups --no-hashes --group backend -o backend/requirements/default.txt
uv export --no-emit-project --no-default-groups --no-hashes --extra backend -o backend/requirements/default.txt
uv export --no-emit-project --no-default-groups --no-hashes --group dev -o backend/requirements/dev.txt
uv export --no-emit-project --no-default-groups --no-hashes --group ee -o backend/requirements/ee.txt
uv export --no-emit-project --no-default-groups --no-hashes --group model_server -o backend/requirements/model_server.txt
uv export --no-emit-project --no-default-groups --no-hashes --extra ee -o backend/requirements/ee.txt
uv export --no-emit-project --no-default-groups --no-hashes --extra model_server -o backend/requirements/model_server.txt
```
### 4. Installing Dependencies
@@ -76,14 +76,30 @@ If enabled, all packages are installed automatically by the `uv-sync` pre-commit
branches or pulling new changes.
```bash
# For development (most common) — installs shared + backend + dev + ee
uv sync
# For everything (most common)
uv sync --all-extras
# For backend production only (shared + backend dependencies)
uv sync --no-default-groups --group backend
# For backend production (shared + backend dependencies)
uv sync --extra backend
# For backend development (shared + backend + dev tools)
uv sync --extra backend --extra dev
# For backend with EE (shared + backend + ee)
uv sync --extra backend --extra ee
# For model server (shared + model_server, NO backend deps!)
uv sync --no-default-groups --group model_server
uv sync --extra model_server
```
`uv` aggressively [ignores active virtual environments](https://docs.astral.sh/uv/concepts/projects/config/#project-environment-path) and prefers the root virtual environment.
When working in workspace packages, be sure to pass `--active` when syncing the virtual environment:
```bash
cd backend/
source .venv/bin/activate
uv sync --active
uv run --active ...
```
### 5. Upgrading Dependencies

View File

@@ -1,5 +1,5 @@
# This file was autogenerated by uv via the following command:
# uv export --no-emit-project --no-default-groups --no-hashes --group backend -o backend/requirements/default.txt
# uv export --no-emit-project --no-default-groups --no-hashes --extra backend -o backend/requirements/default.txt
agent-client-protocol==0.7.1
# via onyx
aioboto3==15.1.0
@@ -19,6 +19,7 @@ aiohttp==3.13.4
# aiobotocore
# discord-py
# litellm
# onyx
# voyageai
aioitertools==0.13.0
# via aiobotocore
@@ -27,6 +28,7 @@ aiolimiter==1.2.1
aiosignal==1.4.0
# via aiohttp
alembic==1.10.4
# via onyx
amqp==5.3.1
# via kombu
annotated-doc==0.0.4
@@ -49,10 +51,13 @@ argon2-cffi==23.1.0
argon2-cffi-bindings==25.1.0
# via argon2-cffi
asana==5.0.8
# via onyx
async-timeout==5.0.1 ; python_full_version < '3.11.3'
# via redis
asyncpg==0.30.0
# via onyx
atlassian-python-api==3.41.16
# via onyx
attrs==25.4.0
# via
# aiohttp
@@ -63,6 +68,7 @@ attrs==25.4.0
authlib==1.6.9
# via fastmcp
azure-cognitiveservices-speech==1.38.0
# via onyx
babel==2.17.0
# via courlan
backoff==2.2.1
@@ -80,6 +86,7 @@ beautifulsoup4==4.12.3
# atlassian-python-api
# markdownify
# markitdown
# onyx
# unstructured
billiard==4.2.3
# via celery
@@ -87,7 +94,9 @@ boto3==1.39.11
# via
# aiobotocore
# cohere
# onyx
boto3-stubs==1.39.11
# via onyx
botocore==1.39.11
# via
# aiobotocore
@@ -96,6 +105,7 @@ botocore==1.39.11
botocore-stubs==1.40.74
# via boto3-stubs
braintrust==0.3.9
# via onyx
brotli==1.2.0
# via onyx
bytecode==0.17.0
@@ -105,6 +115,7 @@ cachetools==6.2.2
caio==0.9.25
# via aiofile
celery==5.5.1
# via onyx
certifi==2025.11.12
# via
# asana
@@ -123,6 +134,7 @@ cffi==2.0.0
# pynacl
# zstandard
chardet==5.2.0
# via onyx
charset-normalizer==3.4.4
# via
# htmldate
@@ -134,6 +146,7 @@ charset-normalizer==3.4.4
chevron==0.14.0
# via braintrust
chonkie==1.0.10
# via onyx
claude-agent-sdk==0.1.19
# via onyx
click==8.3.1
@@ -188,12 +201,15 @@ cryptography==46.0.6
cyclopts==4.2.4
# via fastmcp
dask==2026.1.1
# via distributed
# via
# distributed
# onyx
dataclasses-json==0.6.7
# via unstructured
dateparser==1.2.2
# via htmldate
ddtrace==3.10.0
# via onyx
decorator==5.2.1
# via retry
defusedxml==0.7.1
@@ -207,6 +223,7 @@ deprecated==1.3.1
discord-py==2.4.0
# via onyx
distributed==2026.1.1
# via onyx
distro==1.9.0
# via
# openai
@@ -218,6 +235,7 @@ docstring-parser==0.17.0
docutils==0.22.3
# via rich-rst
dropbox==12.0.2
# via onyx
durationpy==0.10
# via kubernetes
email-validator==2.2.0
@@ -233,6 +251,7 @@ et-xmlfile==2.0.0
events==0.5
# via opensearch-py
exa-py==1.15.4
# via onyx
exceptiongroup==1.3.0
# via
# braintrust
@@ -243,16 +262,23 @@ fastapi==0.133.1
# fastapi-users
# onyx
fastapi-limiter==0.1.6
# via onyx
fastapi-users==15.0.4
# via fastapi-users-db-sqlalchemy
# via
# fastapi-users-db-sqlalchemy
# onyx
fastapi-users-db-sqlalchemy==7.0.0
# via onyx
fastavro==1.12.1
# via cohere
fastmcp==3.2.0
# via onyx
fastuuid==0.14.0
# via litellm
filelock==3.20.3
# via huggingface-hub
# via
# huggingface-hub
# onyx
filetype==1.2.0
# via unstructured
flatbuffers==25.9.23
@@ -272,6 +298,7 @@ gitpython==3.1.45
google-api-core==2.28.1
# via google-api-python-client
google-api-python-client==2.86.0
# via onyx
google-auth==2.48.0
# via
# google-api-core
@@ -281,8 +308,11 @@ google-auth==2.48.0
# google-genai
# kubernetes
google-auth-httplib2==0.1.0
# via google-api-python-client
# via
# google-api-python-client
# onyx
google-auth-oauthlib==1.0.0
# via onyx
google-genai==1.52.0
# via onyx
googleapis-common-protos==1.72.0
@@ -310,6 +340,7 @@ htmldate==1.9.1
httpcore==1.0.9
# via
# httpx
# onyx
# unstructured-client
httplib2==0.31.0
# via
@@ -326,16 +357,21 @@ httpx==0.28.1
# langsmith
# litellm
# mcp
# onyx
# openai
# unstructured-client
httpx-oauth==0.15.1
# via onyx
httpx-sse==0.4.3
# via
# cohere
# mcp
hubspot-api-client==11.1.0
# via onyx
huggingface-hub==0.35.3
# via tokenizers
# via
# onyx
# tokenizers
humanfriendly==10.0
# via coloredlogs
hyperframe==6.1.0
@@ -354,7 +390,9 @@ importlib-metadata==8.7.0
# litellm
# opentelemetry-api
inflection==0.5.1
# via pyairtable
# via
# onyx
# pyairtable
iniconfig==2.3.0
# via pytest
isodate==0.7.2
@@ -376,6 +414,7 @@ jinja2==3.1.6
# distributed
# litellm
jira==3.10.5
# via onyx
jiter==0.12.0
# via openai
jmespath==1.0.1
@@ -391,7 +430,9 @@ jsonpatch==1.33
jsonpointer==3.0.0
# via jsonpatch
jsonref==1.1.0
# via fastmcp
# via
# fastmcp
# onyx
jsonschema==4.25.1
# via
# litellm
@@ -409,12 +450,15 @@ kombu==5.5.4
kubernetes==31.0.0
# via onyx
langchain-core==1.2.22
# via onyx
langdetect==1.0.9
# via unstructured
langfuse==3.10.0
# via onyx
langsmith==0.3.45
# via langchain-core
lazy-imports==1.0.1
# via onyx
legacy-cgi==2.6.4 ; python_full_version >= '3.13'
# via ddtrace
litellm==1.81.6
@@ -429,6 +473,7 @@ lxml==5.3.0
# justext
# lxml-html-clean
# markitdown
# onyx
# python-docx
# python-pptx
# python3-saml
@@ -443,7 +488,9 @@ magika==0.6.3
makefun==1.16.0
# via fastapi-users
mako==1.2.4
# via alembic
# via
# alembic
# onyx
mammoth==1.11.0
# via markitdown
markdown-it-py==4.0.0
@@ -451,6 +498,7 @@ markdown-it-py==4.0.0
markdownify==1.2.2
# via markitdown
markitdown==0.1.2
# via onyx
markupsafe==3.0.3
# via
# jinja2
@@ -464,9 +512,11 @@ mcp==1.26.0
# via
# claude-agent-sdk
# fastmcp
# onyx
mdurl==0.1.2
# via markdown-it-py
mistune==3.2.0
# via onyx
more-itertools==10.8.0
# via
# jaraco-classes
@@ -475,10 +525,13 @@ more-itertools==10.8.0
mpmath==1.3.0
# via sympy
msal==1.34.0
# via office365-rest-python-client
# via
# office365-rest-python-client
# onyx
msgpack==1.1.2
# via distributed
msoffcrypto-tool==5.4.2
# via onyx
multidict==6.7.0
# via
# aiobotocore
@@ -495,6 +548,7 @@ mypy-extensions==1.0.0
# mypy
# typing-inspect
nest-asyncio==1.6.0
# via onyx
nltk==3.9.4
# via unstructured
numpy==2.4.1
@@ -509,8 +563,10 @@ oauthlib==3.2.2
# via
# atlassian-python-api
# kubernetes
# onyx
# requests-oauthlib
office365-rest-python-client==2.6.2
# via onyx
olefile==0.47
# via
# msoffcrypto-tool
@@ -526,11 +582,15 @@ openai==2.14.0
openapi-pydantic==0.5.1
# via fastmcp
openinference-instrumentation==0.1.42
# via onyx
openinference-semantic-conventions==0.1.25
# via openinference-instrumentation
openpyxl==3.0.10
# via markitdown
# via
# markitdown
# onyx
opensearch-py==3.0.0
# via onyx
opentelemetry-api==1.39.1
# via
# ddtrace
@@ -546,6 +606,7 @@ opentelemetry-exporter-otlp-proto-http==1.39.1
# via langfuse
opentelemetry-proto==1.39.1
# via
# onyx
# opentelemetry-exporter-otlp-proto-common
# opentelemetry-exporter-otlp-proto-http
opentelemetry-sdk==1.39.1
@@ -579,6 +640,7 @@ parameterized==0.9.0
partd==1.4.2
# via dask
passlib==1.7.4
# via onyx
pathable==0.4.4
# via jsonschema-path
pdfminer-six==20251107
@@ -590,7 +652,9 @@ platformdirs==4.5.0
# fastmcp
# zeep
playwright==1.55.0
# via pytest-playwright
# via
# onyx
# pytest-playwright
pluggy==1.6.0
# via pytest
ply==3.11
@@ -620,9 +684,12 @@ protobuf==6.33.5
psutil==7.1.3
# via
# distributed
# onyx
# unstructured
psycopg2-binary==2.9.9
# via onyx
puremagic==1.28
# via onyx
pwdlib==0.3.0
# via fastapi-users
py==1.11.0
@@ -630,6 +697,7 @@ py==1.11.0
py-key-value-aio==0.4.4
# via fastmcp
pyairtable==3.0.1
# via onyx
pyasn1==0.6.3
# via
# pyasn1-modules
@@ -639,6 +707,7 @@ pyasn1-modules==0.4.2
pycparser==2.23 ; implementation_name != 'PyPy'
# via cffi
pycryptodome==3.19.1
# via onyx
pydantic==2.11.7
# via
# agent-client-protocol
@@ -665,6 +734,7 @@ pydantic-settings==2.12.0
pyee==13.0.0
# via playwright
pygithub==2.5.0
# via onyx
pygments==2.20.0
# via rich
pyjwt==2.12.0
@@ -675,13 +745,17 @@ pyjwt==2.12.0
# pygithub
# simple-salesforce
pympler==1.1
# via onyx
pynacl==1.6.2
# via pygithub
pypandoc-binary==1.16.2
# via onyx
pyparsing==3.2.5
# via httplib2
pypdf==6.9.2
# via unstructured-client
# via
# onyx
# unstructured-client
pyperclip==1.11.0
# via fastmcp
pyreadline3==3.5.4 ; sys_platform == 'win32'
@@ -694,7 +768,9 @@ pytest==8.3.5
pytest-base-url==2.1.0
# via pytest-playwright
pytest-mock==3.12.0
# via onyx
pytest-playwright==0.7.0
# via onyx
python-dateutil==2.8.2
# via
# aiobotocore
@@ -705,9 +781,11 @@ python-dateutil==2.8.2
# htmldate
# hubspot-api-client
# kubernetes
# onyx
# opensearch-py
# pandas
python-docx==1.1.2
# via onyx
python-dotenv==1.1.1
# via
# braintrust
@@ -715,8 +793,10 @@ python-dotenv==1.1.1
# litellm
# magika
# mcp
# onyx
# pydantic-settings
python-gitlab==5.6.0
# via onyx
python-http-client==3.3.7
# via sendgrid
python-iso639==2025.11.16
@@ -727,15 +807,19 @@ python-multipart==0.0.22
# via
# fastapi-users
# mcp
# onyx
python-oxmsg==0.0.2
# via unstructured
python-pptx==0.6.23
# via markitdown
# via
# markitdown
# onyx
python-slugify==8.0.4
# via
# braintrust
# pytest-playwright
python3-saml==1.15.0
# via onyx
pytz==2025.2
# via
# dateparser
@@ -743,6 +827,7 @@ pytz==2025.2
# pandas
# zeep
pywikibot==9.0.0
# via onyx
pywin32==311 ; sys_platform == 'win32'
# via
# mcp
@@ -759,9 +844,13 @@ pyyaml==6.0.3
# kubernetes
# langchain-core
rapidfuzz==3.13.0
# via unstructured
# via
# onyx
# unstructured
redis==5.0.8
# via fastapi-limiter
# via
# fastapi-limiter
# onyx
referencing==0.36.2
# via
# jsonschema
@@ -792,6 +881,7 @@ requests==2.33.0
# matrix-client
# msal
# office365-rest-python-client
# onyx
# opensearch-py
# opentelemetry-exporter-otlp-proto-http
# pyairtable
@@ -817,6 +907,7 @@ requests-oauthlib==1.3.1
# google-auth-oauthlib
# jira
# kubernetes
# onyx
requests-toolbelt==1.0.0
# via
# jira
@@ -827,6 +918,7 @@ requests-toolbelt==1.0.0
retry==0.9.2
# via onyx
rfc3986==1.5.0
# via onyx
rich==14.2.0
# via
# cyclopts
@@ -846,12 +938,15 @@ s3transfer==0.13.1
secretstorage==3.5.0 ; sys_platform == 'linux'
# via keyring
sendgrid==6.12.5
# via onyx
sentry-sdk==2.14.0
# via onyx
shapely==2.0.6
# via onyx
shellingham==1.5.4
# via typer
simple-salesforce==1.12.6
# via onyx
six==1.17.0
# via
# asana
@@ -866,6 +961,7 @@ six==1.17.0
# python-dateutil
# stone
slack-sdk==3.20.2
# via onyx
smmap==5.0.2
# via gitdb
sniffio==1.3.1
@@ -880,6 +976,7 @@ sqlalchemy==2.0.15
# via
# alembic
# fastapi-users-db-sqlalchemy
# onyx
sse-starlette==3.0.3
# via mcp
sseclient-py==1.8.0
@@ -888,11 +985,14 @@ starlette==0.49.3
# via
# fastapi
# mcp
# onyx
# prometheus-fastapi-instrumentator
stone==3.3.1
# via dropbox
stripe==10.12.0
# via onyx
supervisor==4.3.0
# via onyx
sympy==1.14.0
# via onnxruntime
tblib==3.2.2
@@ -905,8 +1005,11 @@ tenacity==9.1.2
text-unidecode==1.3
# via python-slugify
tiktoken==0.7.0
# via litellm
# via
# litellm
# onyx
timeago==1.0.16
# via onyx
tld==0.13.1
# via courlan
tokenizers==0.21.4
@@ -930,11 +1033,13 @@ tqdm==4.67.1
# openai
# unstructured
trafilatura==1.12.2
# via onyx
typer==0.20.0
# via mcp
types-awscrt==0.28.4
# via botocore-stubs
types-openpyxl==3.0.4.7
# via onyx
types-requests==2.32.0.20250328
# via cohere
types-s3transfer==0.14.0
@@ -1000,8 +1105,11 @@ tzlocal==5.3.1
uncalled-for==0.2.0
# via fastmcp
unstructured==0.18.27
# via onyx
unstructured-client==0.42.6
# via unstructured
# via
# onyx
# unstructured
uritemplate==4.2.0
# via google-api-python-client
urllib3==2.6.3
@@ -1013,6 +1121,7 @@ urllib3==2.6.3
# htmldate
# hubspot-api-client
# kubernetes
# onyx
# opensearch-py
# pyairtable
# pygithub
@@ -1062,7 +1171,9 @@ xlrd==2.0.2
xlsxwriter==3.2.9
# via python-pptx
xmlsec==1.3.14
# via python3-saml
# via
# onyx
# python3-saml
xmltodict==1.0.2
# via ddtrace
yarl==1.22.0
@@ -1076,3 +1187,4 @@ zipp==3.23.0
zstandard==0.23.0
# via langsmith
zulip==0.8.2
# via onyx

View File

@@ -1,5 +1,5 @@
# This file was autogenerated by uv via the following command:
# uv export --no-emit-project --no-default-groups --no-hashes --group dev -o backend/requirements/dev.txt
# uv export --no-emit-project --no-default-groups --no-hashes --extra dev -o backend/requirements/dev.txt
agent-client-protocol==0.7.1
# via onyx
aioboto3==15.1.0
@@ -47,6 +47,7 @@ attrs==25.4.0
# jsonschema
# referencing
black==25.1.0
# via onyx
boto3==1.39.11
# via
# aiobotocore
@@ -59,6 +60,7 @@ botocore==1.39.11
brotli==1.2.0
# via onyx
celery-types==0.19.0
# via onyx
certifi==2025.11.12
# via
# httpcore
@@ -120,6 +122,7 @@ execnet==2.1.2
executing==2.2.1
# via stack-data
faker==40.1.2
# via onyx
fastapi==0.133.1
# via
# onyx
@@ -153,6 +156,7 @@ h11==0.16.0
# httpcore
# uvicorn
hatchling==1.28.0
# via onyx
hf-xet==1.2.0 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
# via huggingface-hub
httpcore==1.0.9
@@ -183,6 +187,7 @@ importlib-metadata==8.7.0
iniconfig==2.3.0
# via pytest
ipykernel==6.29.5
# via onyx
ipython==9.7.0
# via ipykernel
ipython-pygments-lexers==1.1.1
@@ -219,11 +224,13 @@ litellm==1.81.6
mako==1.2.4
# via alembic
manygo==0.2.0
# via onyx
markupsafe==3.0.3
# via
# jinja2
# mako
matplotlib==3.10.8
# via onyx
matplotlib-inline==0.2.1
# via
# ipykernel
@@ -236,10 +243,12 @@ multidict==6.7.0
# aiohttp
# yarl
mypy==1.13.0
# via onyx
mypy-extensions==1.0.0
# via
# black
# mypy
# onyx
nest-asyncio==1.6.0
# via ipykernel
nodeenv==1.9.1
@@ -255,12 +264,15 @@ oauthlib==3.2.2
# kubernetes
# requests-oauthlib
onyx-devtools==0.7.3
# via onyx
openai==2.14.0
# via
# litellm
# onyx
openapi-generator-cli==7.17.0
# via onyx-devtools
# via
# onyx
# onyx-devtools
packaging==24.2
# via
# black
@@ -270,6 +282,7 @@ packaging==24.2
# matplotlib
# pytest
pandas-stubs==2.3.3.251201
# via onyx
parameterized==0.9.0
# via cohere
parso==0.8.5
@@ -292,6 +305,7 @@ pluggy==1.6.0
# hatchling
# pytest
pre-commit==3.2.2
# via onyx
prometheus-client==0.23.1
# via
# onyx
@@ -345,16 +359,22 @@ pyparsing==3.2.5
# via matplotlib
pytest==8.3.5
# via
# onyx
# pytest-alembic
# pytest-asyncio
# pytest-dotenv
# pytest-repeat
# pytest-xdist
pytest-alembic==0.12.1
# via onyx
pytest-asyncio==1.3.0
# via onyx
pytest-dotenv==0.5.2
# via onyx
pytest-repeat==0.9.4
# via onyx
pytest-xdist==3.8.0
# via onyx
python-dateutil==2.8.2
# via
# aiobotocore
@@ -387,7 +407,9 @@ referencing==0.36.2
regex==2025.11.3
# via tiktoken
release-tag==0.5.2
# via onyx
reorder-python-imports-black==3.14.0
# via onyx
requests==2.33.0
# via
# cohere
@@ -408,6 +430,7 @@ rpds-py==0.29.0
rsa==4.9.1
# via google-auth
ruff==0.12.0
# via onyx
s3transfer==0.13.1
# via boto3
sentry-sdk==2.14.0
@@ -461,22 +484,39 @@ traitlets==5.14.3
trove-classifiers==2025.12.1.14
# via hatchling
types-beautifulsoup4==4.12.0.3
# via onyx
types-html5lib==1.1.11.13
# via types-beautifulsoup4
# via
# onyx
# types-beautifulsoup4
types-oauthlib==3.2.0.9
# via onyx
types-passlib==1.7.7.20240106
# via onyx
types-pillow==10.2.0.20240822
# via onyx
types-psutil==7.1.3.20251125
# via onyx
types-psycopg2==2.9.21.10
# via onyx
types-python-dateutil==2.8.19.13
# via onyx
types-pytz==2023.3.1.1
# via pandas-stubs
# via
# onyx
# pandas-stubs
types-pyyaml==6.0.12.11
# via onyx
types-regex==2023.3.23.1
# via onyx
types-requests==2.32.0.20250328
# via cohere
# via
# cohere
# onyx
types-retry==0.9.9.3
# via onyx
types-setuptools==68.0.0.3
# via onyx
typing-extensions==4.15.0
# via
# aiosignal
@@ -534,3 +574,4 @@ yarl==1.22.0
zipp==3.23.0
# via importlib-metadata
zizmor==1.18.0
# via onyx

View File

@@ -1,5 +1,5 @@
# This file was autogenerated by uv via the following command:
# uv export --no-emit-project --no-default-groups --no-hashes --group ee -o backend/requirements/ee.txt
# uv export --no-emit-project --no-default-groups --no-hashes --extra ee -o backend/requirements/ee.txt
agent-client-protocol==0.7.1
# via onyx
aioboto3==15.1.0
@@ -182,6 +182,7 @@ packaging==24.2
parameterized==0.9.0
# via cohere
posthog==3.7.4
# via onyx
prometheus-client==0.23.1
# via
# onyx

View File

@@ -1,6 +1,7 @@
# This file was autogenerated by uv via the following command:
# uv export --no-emit-project --no-default-groups --no-hashes --group model_server -o backend/requirements/model_server.txt
# uv export --no-emit-project --no-default-groups --no-hashes --extra model_server -o backend/requirements/model_server.txt
accelerate==1.6.0
# via onyx
agent-client-protocol==0.7.1
# via onyx
aioboto3==15.1.0
@@ -104,6 +105,7 @@ distro==1.9.0
durationpy==0.10
# via kubernetes
einops==0.8.1
# via onyx
fastapi==0.133.1
# via
# onyx
@@ -205,6 +207,7 @@ networkx==3.5
numpy==2.4.1
# via
# accelerate
# onyx
# scikit-learn
# scipy
# transformers
@@ -360,6 +363,7 @@ s3transfer==0.13.1
safetensors==0.5.3
# via
# accelerate
# onyx
# transformers
scikit-learn==1.7.2
# via sentence-transformers
@@ -368,6 +372,7 @@ scipy==1.16.3
# scikit-learn
# sentence-transformers
sentence-transformers==4.0.2
# via onyx
sentry-sdk==2.14.0
# via onyx
setuptools==80.9.0 ; python_full_version >= '3.12'
@@ -406,6 +411,7 @@ tokenizers==0.21.4
torch==2.9.1
# via
# accelerate
# onyx
# sentence-transformers
tqdm==4.67.1
# via
@@ -414,7 +420,9 @@ tqdm==4.67.1
# sentence-transformers
# transformers
transformers==4.53.0
# via sentence-transformers
# via
# onyx
# sentence-transformers
triton==3.5.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
types-requests==2.32.0.20250328

View File

@@ -70,10 +70,6 @@ spec:
"-Q",
"connector_pruning,connector_doc_permissions_sync,connector_external_group_sync,csv_generation,sandbox",
]
ports:
- name: metrics
containerPort: 9094
protocol: TCP
resources:
{{- toYaml .Values.celery_worker_heavy.resources | nindent 12 }}
envFrom:

View File

@@ -28,7 +28,7 @@ dependencies = [
"kubernetes>=31.0.0",
]
[dependency-groups]
[project.optional-dependencies]
# Main backend application dependencies
backend = [
"aiohttp==3.13.4",
@@ -195,9 +195,6 @@ model_server = [
"sentry-sdk[fastapi,celery,starlette]==2.14.0",
]
[tool.uv]
default-groups = ["backend", "dev", "ee", "model_server"]
[tool.mypy]
plugins = "sqlalchemy.ext.mypy.plugin"
mypy_path = "backend"
@@ -233,7 +230,7 @@ follow_imports = "skip"
ignore_errors = true
[tool.uv.workspace]
members = ["tools/ods"]
members = ["backend", "tools/ods"]
[tool.basedpyright]
include = ["backend"]

310
uv.lock generated
View File

@@ -14,6 +14,12 @@ resolution-markers = [
"python_full_version < '3.12' and sys_platform != 'win32'",
]
[manifest]
members = [
"onyx",
"onyx-backend",
]
[[package]]
name = "accelerate"
version = "1.6.0"
@@ -4228,7 +4234,7 @@ dependencies = [
{ name = "voyageai" },
]
[package.dev-dependencies]
[package.optional-dependencies]
backend = [
{ name = "aiohttp" },
{ name = "alembic" },
@@ -4382,175 +4388,179 @@ model-server = [
[package.metadata]
requires-dist = [
{ name = "accelerate", marker = "extra == 'model-server'", specifier = "==1.6.0" },
{ name = "agent-client-protocol", specifier = ">=0.7.1" },
{ name = "aioboto3", specifier = "==15.1.0" },
{ name = "aiohttp", marker = "extra == 'backend'", specifier = "==3.13.4" },
{ name = "alembic", marker = "extra == 'backend'", specifier = "==1.10.4" },
{ name = "asana", marker = "extra == 'backend'", specifier = "==5.0.8" },
{ name = "asyncpg", marker = "extra == 'backend'", specifier = "==0.30.0" },
{ name = "atlassian-python-api", marker = "extra == 'backend'", specifier = "==3.41.16" },
{ name = "azure-cognitiveservices-speech", marker = "extra == 'backend'", specifier = "==1.38.0" },
{ name = "beautifulsoup4", marker = "extra == 'backend'", specifier = "==4.12.3" },
{ name = "black", marker = "extra == 'dev'", specifier = "==25.1.0" },
{ name = "boto3", marker = "extra == 'backend'", specifier = "==1.39.11" },
{ name = "boto3-stubs", extras = ["s3"], marker = "extra == 'backend'", specifier = "==1.39.11" },
{ name = "braintrust", marker = "extra == 'backend'", specifier = "==0.3.9" },
{ name = "brotli", specifier = ">=1.2.0" },
{ name = "celery", marker = "extra == 'backend'", specifier = "==5.5.1" },
{ name = "celery-types", marker = "extra == 'dev'", specifier = "==0.19.0" },
{ name = "chardet", marker = "extra == 'backend'", specifier = "==5.2.0" },
{ name = "chonkie", marker = "extra == 'backend'", specifier = "==1.0.10" },
{ name = "claude-agent-sdk", specifier = ">=0.1.19" },
{ name = "cohere", specifier = "==5.6.1" },
{ name = "dask", marker = "extra == 'backend'", specifier = "==2026.1.1" },
{ name = "ddtrace", marker = "extra == 'backend'", specifier = "==3.10.0" },
{ name = "discord-py", specifier = "==2.4.0" },
{ name = "discord-py", marker = "extra == 'backend'", specifier = "==2.4.0" },
{ name = "distributed", marker = "extra == 'backend'", specifier = "==2026.1.1" },
{ name = "dropbox", marker = "extra == 'backend'", specifier = "==12.0.2" },
{ name = "einops", marker = "extra == 'model-server'", specifier = "==0.8.1" },
{ name = "exa-py", marker = "extra == 'backend'", specifier = "==1.15.4" },
{ name = "faker", marker = "extra == 'dev'", specifier = "==40.1.2" },
{ name = "fastapi", specifier = "==0.133.1" },
{ name = "fastapi-limiter", marker = "extra == 'backend'", specifier = "==0.1.6" },
{ name = "fastapi-users", marker = "extra == 'backend'", specifier = "==15.0.4" },
{ name = "fastapi-users-db-sqlalchemy", marker = "extra == 'backend'", specifier = "==7.0.0" },
{ name = "fastmcp", marker = "extra == 'backend'", specifier = "==3.2.0" },
{ name = "filelock", marker = "extra == 'backend'", specifier = "==3.20.3" },
{ name = "google-api-python-client", marker = "extra == 'backend'", specifier = "==2.86.0" },
{ name = "google-auth-httplib2", marker = "extra == 'backend'", specifier = "==0.1.0" },
{ name = "google-auth-oauthlib", marker = "extra == 'backend'", specifier = "==1.0.0" },
{ name = "google-genai", specifier = "==1.52.0" },
{ name = "hatchling", marker = "extra == 'dev'", specifier = "==1.28.0" },
{ name = "httpcore", marker = "extra == 'backend'", specifier = "==1.0.9" },
{ name = "httpx", extras = ["http2"], marker = "extra == 'backend'", specifier = "==0.28.1" },
{ name = "httpx-oauth", marker = "extra == 'backend'", specifier = "==0.15.1" },
{ name = "hubspot-api-client", marker = "extra == 'backend'", specifier = "==11.1.0" },
{ name = "huggingface-hub", marker = "extra == 'backend'", specifier = "==0.35.3" },
{ name = "inflection", marker = "extra == 'backend'", specifier = "==0.5.1" },
{ name = "ipykernel", marker = "extra == 'dev'", specifier = "==6.29.5" },
{ name = "jira", marker = "extra == 'backend'", specifier = "==3.10.5" },
{ name = "jsonref", marker = "extra == 'backend'", specifier = "==1.1.0" },
{ name = "kubernetes", specifier = ">=31.0.0" },
{ name = "kubernetes", marker = "extra == 'backend'", specifier = "==31.0.0" },
{ name = "langchain-core", marker = "extra == 'backend'", specifier = "==1.2.22" },
{ name = "langfuse", marker = "extra == 'backend'", specifier = "==3.10.0" },
{ name = "lazy-imports", marker = "extra == 'backend'", specifier = "==1.0.1" },
{ name = "litellm", specifier = "==1.81.6" },
{ name = "lxml", marker = "extra == 'backend'", specifier = "==5.3.0" },
{ name = "mako", marker = "extra == 'backend'", specifier = "==1.2.4" },
{ name = "manygo", marker = "extra == 'dev'", specifier = "==0.2.0" },
{ name = "markitdown", extras = ["pdf", "docx", "pptx", "xlsx", "xls"], marker = "extra == 'backend'", specifier = "==0.1.2" },
{ name = "matplotlib", marker = "extra == 'dev'", specifier = "==3.10.8" },
{ name = "mcp", extras = ["cli"], marker = "extra == 'backend'", specifier = "==1.26.0" },
{ name = "mistune", marker = "extra == 'backend'", specifier = "==3.2.0" },
{ name = "msal", marker = "extra == 'backend'", specifier = "==1.34.0" },
{ name = "msoffcrypto-tool", marker = "extra == 'backend'", specifier = "==5.4.2" },
{ name = "mypy", marker = "extra == 'dev'", specifier = "==1.13.0" },
{ name = "mypy-extensions", marker = "extra == 'dev'", specifier = "==1.0.0" },
{ name = "nest-asyncio", marker = "extra == 'backend'", specifier = "==1.6.0" },
{ name = "numpy", marker = "extra == 'model-server'", specifier = "==2.4.1" },
{ name = "oauthlib", marker = "extra == 'backend'", specifier = "==3.2.2" },
{ name = "office365-rest-python-client", marker = "extra == 'backend'", specifier = "==2.6.2" },
{ name = "onyx-devtools", marker = "extra == 'dev'", specifier = "==0.7.3" },
{ name = "openai", specifier = "==2.14.0" },
{ name = "openapi-generator-cli", marker = "extra == 'dev'", specifier = "==7.17.0" },
{ name = "openinference-instrumentation", marker = "extra == 'backend'", specifier = "==0.1.42" },
{ name = "openpyxl", marker = "extra == 'backend'", specifier = "==3.0.10" },
{ name = "opensearch-py", marker = "extra == 'backend'", specifier = "==3.0.0" },
{ name = "opentelemetry-proto", marker = "extra == 'backend'", specifier = ">=1.39.0" },
{ name = "pandas-stubs", marker = "extra == 'dev'", specifier = "~=2.3.3" },
{ name = "passlib", marker = "extra == 'backend'", specifier = "==1.7.4" },
{ name = "playwright", marker = "extra == 'backend'", specifier = "==1.55.0" },
{ name = "posthog", marker = "extra == 'ee'", specifier = "==3.7.4" },
{ name = "pre-commit", marker = "extra == 'dev'", specifier = "==3.2.2" },
{ name = "prometheus-client", specifier = ">=0.21.1" },
{ name = "prometheus-fastapi-instrumentator", specifier = "==7.1.0" },
{ name = "psutil", marker = "extra == 'backend'", specifier = "==7.1.3" },
{ name = "psycopg2-binary", marker = "extra == 'backend'", specifier = "==2.9.9" },
{ name = "puremagic", marker = "extra == 'backend'", specifier = "==1.28" },
{ name = "pyairtable", marker = "extra == 'backend'", specifier = "==3.0.1" },
{ name = "pycryptodome", marker = "extra == 'backend'", specifier = "==3.19.1" },
{ name = "pydantic", specifier = "==2.11.7" },
{ name = "pygithub", marker = "extra == 'backend'", specifier = "==2.5.0" },
{ name = "pympler", marker = "extra == 'backend'", specifier = "==1.1" },
{ name = "pypandoc-binary", marker = "extra == 'backend'", specifier = "==1.16.2" },
{ name = "pypdf", marker = "extra == 'backend'", specifier = "==6.9.2" },
{ name = "pytest", marker = "extra == 'dev'", specifier = "==8.3.5" },
{ name = "pytest-alembic", marker = "extra == 'dev'", specifier = "==0.12.1" },
{ name = "pytest-asyncio", marker = "extra == 'dev'", specifier = "==1.3.0" },
{ name = "pytest-dotenv", marker = "extra == 'dev'", specifier = "==0.5.2" },
{ name = "pytest-mock", marker = "extra == 'backend'", specifier = "==3.12.0" },
{ name = "pytest-playwright", marker = "extra == 'backend'", specifier = "==0.7.0" },
{ name = "pytest-repeat", marker = "extra == 'dev'", specifier = "==0.9.4" },
{ name = "pytest-xdist", marker = "extra == 'dev'", specifier = "==3.8.0" },
{ name = "python-dateutil", marker = "extra == 'backend'", specifier = "==2.8.2" },
{ name = "python-docx", marker = "extra == 'backend'", specifier = "==1.1.2" },
{ name = "python-dotenv", marker = "extra == 'backend'", specifier = "==1.1.1" },
{ name = "python-gitlab", marker = "extra == 'backend'", specifier = "==5.6.0" },
{ name = "python-multipart", marker = "extra == 'backend'", specifier = "==0.0.22" },
{ name = "python-pptx", marker = "extra == 'backend'", specifier = "==0.6.23" },
{ name = "python3-saml", marker = "extra == 'backend'", specifier = "==1.15.0" },
{ name = "pywikibot", marker = "extra == 'backend'", specifier = "==9.0.0" },
{ name = "rapidfuzz", marker = "extra == 'backend'", specifier = "==3.13.0" },
{ name = "redis", marker = "extra == 'backend'", specifier = "==5.0.8" },
{ name = "release-tag", marker = "extra == 'dev'", specifier = "==0.5.2" },
{ name = "reorder-python-imports-black", marker = "extra == 'dev'", specifier = "==3.14.0" },
{ name = "requests", marker = "extra == 'backend'", specifier = "==2.33.0" },
{ name = "requests-oauthlib", marker = "extra == 'backend'", specifier = "==1.3.1" },
{ name = "retry", specifier = "==0.9.2" },
{ name = "rfc3986", marker = "extra == 'backend'", specifier = "==1.5.0" },
{ name = "ruff", marker = "extra == 'dev'", specifier = "==0.12.0" },
{ name = "safetensors", marker = "extra == 'model-server'", specifier = "==0.5.3" },
{ name = "sendgrid", marker = "extra == 'backend'", specifier = "==6.12.5" },
{ name = "sentence-transformers", marker = "extra == 'model-server'", specifier = "==4.0.2" },
{ name = "sentry-sdk", specifier = "==2.14.0" },
{ name = "sentry-sdk", extras = ["fastapi", "celery", "starlette"], marker = "extra == 'model-server'", specifier = "==2.14.0" },
{ name = "shapely", marker = "extra == 'backend'", specifier = "==2.0.6" },
{ name = "simple-salesforce", marker = "extra == 'backend'", specifier = "==1.12.6" },
{ name = "slack-sdk", marker = "extra == 'backend'", specifier = "==3.20.2" },
{ name = "sqlalchemy", extras = ["mypy"], marker = "extra == 'backend'", specifier = "==2.0.15" },
{ name = "starlette", marker = "extra == 'backend'", specifier = "==0.49.3" },
{ name = "stripe", marker = "extra == 'backend'", specifier = "==10.12.0" },
{ name = "supervisor", marker = "extra == 'backend'", specifier = "==4.3.0" },
{ name = "tiktoken", marker = "extra == 'backend'", specifier = "==0.7.0" },
{ name = "timeago", marker = "extra == 'backend'", specifier = "==1.0.16" },
{ name = "torch", marker = "extra == 'model-server'", specifier = "==2.9.1" },
{ name = "trafilatura", marker = "extra == 'backend'", specifier = "==1.12.2" },
{ name = "transformers", marker = "extra == 'model-server'", specifier = "==4.53.0" },
{ name = "types-beautifulsoup4", marker = "extra == 'dev'", specifier = "==4.12.0.3" },
{ name = "types-html5lib", marker = "extra == 'dev'", specifier = "==1.1.11.13" },
{ name = "types-oauthlib", marker = "extra == 'dev'", specifier = "==3.2.0.9" },
{ name = "types-openpyxl", marker = "extra == 'backend'", specifier = "==3.0.4.7" },
{ name = "types-passlib", marker = "extra == 'dev'", specifier = "==1.7.7.20240106" },
{ name = "types-pillow", marker = "extra == 'dev'", specifier = "==10.2.0.20240822" },
{ name = "types-psutil", marker = "extra == 'dev'", specifier = "==7.1.3.20251125" },
{ name = "types-psycopg2", marker = "extra == 'dev'", specifier = "==2.9.21.10" },
{ name = "types-python-dateutil", marker = "extra == 'dev'", specifier = "==2.8.19.13" },
{ name = "types-pytz", marker = "extra == 'dev'", specifier = "==2023.3.1.1" },
{ name = "types-pyyaml", marker = "extra == 'dev'", specifier = "==6.0.12.11" },
{ name = "types-regex", marker = "extra == 'dev'", specifier = "==2023.3.23.1" },
{ name = "types-requests", marker = "extra == 'dev'", specifier = "==2.32.0.20250328" },
{ name = "types-retry", marker = "extra == 'dev'", specifier = "==0.9.9.3" },
{ name = "types-setuptools", marker = "extra == 'dev'", specifier = "==68.0.0.3" },
{ name = "unstructured", marker = "extra == 'backend'", specifier = "==0.18.27" },
{ name = "unstructured-client", marker = "extra == 'backend'", specifier = "==0.42.6" },
{ name = "urllib3", marker = "extra == 'backend'", specifier = "==2.6.3" },
{ name = "uvicorn", specifier = "==0.35.0" },
{ name = "voyageai", specifier = "==0.2.3" },
{ name = "xmlsec", marker = "extra == 'backend'", specifier = "==1.3.14" },
{ name = "zizmor", marker = "extra == 'dev'", specifier = "==1.18.0" },
{ name = "zulip", marker = "extra == 'backend'", specifier = "==0.8.2" },
]
provides-extras = ["backend", "dev", "ee", "model-server"]
[[package]]
name = "onyx-backend"
version = "0.0.0"
source = { virtual = "backend" }
dependencies = [
{ name = "onyx", extra = ["backend", "dev", "ee"] },
]
[package.metadata.requires-dev]
backend = [
{ name = "aiohttp", specifier = "==3.13.4" },
{ name = "alembic", specifier = "==1.10.4" },
{ name = "asana", specifier = "==5.0.8" },
{ name = "asyncpg", specifier = "==0.30.0" },
{ name = "atlassian-python-api", specifier = "==3.41.16" },
{ name = "azure-cognitiveservices-speech", specifier = "==1.38.0" },
{ name = "beautifulsoup4", specifier = "==4.12.3" },
{ name = "boto3", specifier = "==1.39.11" },
{ name = "boto3-stubs", extras = ["s3"], specifier = "==1.39.11" },
{ name = "braintrust", specifier = "==0.3.9" },
{ name = "celery", specifier = "==5.5.1" },
{ name = "chardet", specifier = "==5.2.0" },
{ name = "chonkie", specifier = "==1.0.10" },
{ name = "dask", specifier = "==2026.1.1" },
{ name = "ddtrace", specifier = "==3.10.0" },
{ name = "discord-py", specifier = "==2.4.0" },
{ name = "distributed", specifier = "==2026.1.1" },
{ name = "dropbox", specifier = "==12.0.2" },
{ name = "exa-py", specifier = "==1.15.4" },
{ name = "fastapi-limiter", specifier = "==0.1.6" },
{ name = "fastapi-users", specifier = "==15.0.4" },
{ name = "fastapi-users-db-sqlalchemy", specifier = "==7.0.0" },
{ name = "fastmcp", specifier = "==3.2.0" },
{ name = "filelock", specifier = "==3.20.3" },
{ name = "google-api-python-client", specifier = "==2.86.0" },
{ name = "google-auth-httplib2", specifier = "==0.1.0" },
{ name = "google-auth-oauthlib", specifier = "==1.0.0" },
{ name = "httpcore", specifier = "==1.0.9" },
{ name = "httpx", extras = ["http2"], specifier = "==0.28.1" },
{ name = "httpx-oauth", specifier = "==0.15.1" },
{ name = "hubspot-api-client", specifier = "==11.1.0" },
{ name = "huggingface-hub", specifier = "==0.35.3" },
{ name = "inflection", specifier = "==0.5.1" },
{ name = "jira", specifier = "==3.10.5" },
{ name = "jsonref", specifier = "==1.1.0" },
{ name = "kubernetes", specifier = "==31.0.0" },
{ name = "langchain-core", specifier = "==1.2.22" },
{ name = "langfuse", specifier = "==3.10.0" },
{ name = "lazy-imports", specifier = "==1.0.1" },
{ name = "lxml", specifier = "==5.3.0" },
{ name = "mako", specifier = "==1.2.4" },
{ name = "markitdown", extras = ["pdf", "docx", "pptx", "xlsx", "xls"], specifier = "==0.1.2" },
{ name = "mcp", extras = ["cli"], specifier = "==1.26.0" },
{ name = "mistune", specifier = "==3.2.0" },
{ name = "msal", specifier = "==1.34.0" },
{ name = "msoffcrypto-tool", specifier = "==5.4.2" },
{ name = "nest-asyncio", specifier = "==1.6.0" },
{ name = "oauthlib", specifier = "==3.2.2" },
{ name = "office365-rest-python-client", specifier = "==2.6.2" },
{ name = "openinference-instrumentation", specifier = "==0.1.42" },
{ name = "openpyxl", specifier = "==3.0.10" },
{ name = "opensearch-py", specifier = "==3.0.0" },
{ name = "opentelemetry-proto", specifier = ">=1.39.0" },
{ name = "passlib", specifier = "==1.7.4" },
{ name = "playwright", specifier = "==1.55.0" },
{ name = "psutil", specifier = "==7.1.3" },
{ name = "psycopg2-binary", specifier = "==2.9.9" },
{ name = "puremagic", specifier = "==1.28" },
{ name = "pyairtable", specifier = "==3.0.1" },
{ name = "pycryptodome", specifier = "==3.19.1" },
{ name = "pygithub", specifier = "==2.5.0" },
{ name = "pympler", specifier = "==1.1" },
{ name = "pypandoc-binary", specifier = "==1.16.2" },
{ name = "pypdf", specifier = "==6.9.2" },
{ name = "pytest-mock", specifier = "==3.12.0" },
{ name = "pytest-playwright", specifier = "==0.7.0" },
{ name = "python-dateutil", specifier = "==2.8.2" },
{ name = "python-docx", specifier = "==1.1.2" },
{ name = "python-dotenv", specifier = "==1.1.1" },
{ name = "python-gitlab", specifier = "==5.6.0" },
{ name = "python-multipart", specifier = "==0.0.22" },
{ name = "python-pptx", specifier = "==0.6.23" },
{ name = "python3-saml", specifier = "==1.15.0" },
{ name = "pywikibot", specifier = "==9.0.0" },
{ name = "rapidfuzz", specifier = "==3.13.0" },
{ name = "redis", specifier = "==5.0.8" },
{ name = "requests", specifier = "==2.33.0" },
{ name = "requests-oauthlib", specifier = "==1.3.1" },
{ name = "rfc3986", specifier = "==1.5.0" },
{ name = "sendgrid", specifier = "==6.12.5" },
{ name = "shapely", specifier = "==2.0.6" },
{ name = "simple-salesforce", specifier = "==1.12.6" },
{ name = "slack-sdk", specifier = "==3.20.2" },
{ name = "sqlalchemy", extras = ["mypy"], specifier = "==2.0.15" },
{ name = "starlette", specifier = "==0.49.3" },
{ name = "stripe", specifier = "==10.12.0" },
{ name = "supervisor", specifier = "==4.3.0" },
{ name = "tiktoken", specifier = "==0.7.0" },
{ name = "timeago", specifier = "==1.0.16" },
{ name = "trafilatura", specifier = "==1.12.2" },
{ name = "types-openpyxl", specifier = "==3.0.4.7" },
{ name = "unstructured", specifier = "==0.18.27" },
{ name = "unstructured-client", specifier = "==0.42.6" },
{ name = "urllib3", specifier = "==2.6.3" },
{ name = "xmlsec", specifier = "==1.3.14" },
{ name = "zulip", specifier = "==0.8.2" },
]
dev = [
{ name = "black", specifier = "==25.1.0" },
{ name = "celery-types", specifier = "==0.19.0" },
{ name = "faker", specifier = "==40.1.2" },
{ name = "hatchling", specifier = "==1.28.0" },
{ name = "ipykernel", specifier = "==6.29.5" },
{ name = "manygo", specifier = "==0.2.0" },
{ name = "matplotlib", specifier = "==3.10.8" },
{ name = "mypy", specifier = "==1.13.0" },
{ name = "mypy-extensions", specifier = "==1.0.0" },
{ name = "onyx-devtools", specifier = "==0.7.3" },
{ name = "openapi-generator-cli", specifier = "==7.17.0" },
{ name = "pandas-stubs", specifier = "~=2.3.3" },
{ name = "pre-commit", specifier = "==3.2.2" },
{ name = "pytest", specifier = "==8.3.5" },
{ name = "pytest-alembic", specifier = "==0.12.1" },
{ name = "pytest-asyncio", specifier = "==1.3.0" },
{ name = "pytest-dotenv", specifier = "==0.5.2" },
{ name = "pytest-repeat", specifier = "==0.9.4" },
{ name = "pytest-xdist", specifier = "==3.8.0" },
{ name = "release-tag", specifier = "==0.5.2" },
{ name = "reorder-python-imports-black", specifier = "==3.14.0" },
{ name = "ruff", specifier = "==0.12.0" },
{ name = "types-beautifulsoup4", specifier = "==4.12.0.3" },
{ name = "types-html5lib", specifier = "==1.1.11.13" },
{ name = "types-oauthlib", specifier = "==3.2.0.9" },
{ name = "types-passlib", specifier = "==1.7.7.20240106" },
{ name = "types-pillow", specifier = "==10.2.0.20240822" },
{ name = "types-psutil", specifier = "==7.1.3.20251125" },
{ name = "types-psycopg2", specifier = "==2.9.21.10" },
{ name = "types-python-dateutil", specifier = "==2.8.19.13" },
{ name = "types-pytz", specifier = "==2023.3.1.1" },
{ name = "types-pyyaml", specifier = "==6.0.12.11" },
{ name = "types-regex", specifier = "==2023.3.23.1" },
{ name = "types-requests", specifier = "==2.32.0.20250328" },
{ name = "types-retry", specifier = "==0.9.9.3" },
{ name = "types-setuptools", specifier = "==68.0.0.3" },
{ name = "zizmor", specifier = "==1.18.0" },
]
ee = [{ name = "posthog", specifier = "==3.7.4" }]
model-server = [
{ name = "accelerate", specifier = "==1.6.0" },
{ name = "einops", specifier = "==0.8.1" },
{ name = "numpy", specifier = "==2.4.1" },
{ name = "safetensors", specifier = "==0.5.3" },
{ name = "sentence-transformers", specifier = "==4.0.2" },
{ name = "sentry-sdk", extras = ["fastapi", "celery", "starlette"], specifier = "==2.14.0" },
{ name = "torch", specifier = "==2.9.1" },
{ name = "transformers", specifier = "==4.53.0" },
]
[package.metadata]
requires-dist = [{ name = "onyx", extras = ["backend", "dev", "ee"], editable = "." }]
[[package]]
name = "onyx-devtools"

View File

@@ -1,5 +1,5 @@
import { defaultTailwindCSS } from "@/components/icons/icons";
import { getModelIcon } from "@/lib/llmConfig";
import { getModelIcon } from "@/lib/llmConfig/providers";
import { IconProps } from "@opal/types";
export interface ModelIconProps extends IconProps {

View File

@@ -1 +1 @@
export { default } from "@/refresh-pages/admin/LLMConfigurationPage";
export { default } from "@/refresh-pages/admin/LLMProviderConfigurationPage";

View File

@@ -5,7 +5,7 @@ import { Button } from "@opal/components";
import { Text } from "@opal/components";
import { ContentAction } from "@opal/layouts";
import { SvgEyeOff, SvgX } from "@opal/icons";
import { getModelIcon } from "@/lib/llmConfig";
import { getModelIcon } from "@/lib/llmConfig/providers";
import AgentMessage, {
AgentMessageProps,
} from "@/app/app/message/messageComponents/AgentMessage";
@@ -28,8 +28,6 @@ export interface MultiModelPanelProps {
isNonPreferredInSelection: boolean;
/** Callback when user clicks this panel to select as preferred */
onSelect: () => void;
/** Callback to deselect this panel as preferred */
onDeselect?: () => void;
/** Callback to hide/show this panel */
onToggleVisibility: () => void;
/** Props to pass through to AgentMessage */
@@ -65,7 +63,6 @@ export default function MultiModelPanel({
isHidden,
isNonPreferredInSelection,
onSelect,
onDeselect,
onToggleVisibility,
agentMessageProps,
errorMessage,
@@ -96,25 +93,11 @@ export default function MultiModelPanel({
rightChildren={
<div className="flex items-center gap-1 px-2">
{isPreferred && (
<>
<span className="text-action-link-05 shrink-0">
<Text font="secondary-body" color="inherit" nowrap>
Preferred Response
</Text>
</span>
{onDeselect && (
<Button
prominence="tertiary"
icon={SvgX}
size="sm"
onClick={(e) => {
e.stopPropagation();
onDeselect();
}}
tooltip="Deselect preferred response"
/>
)}
</>
<span className="text-action-link-05 shrink-0">
<Text font="secondary-body" color="inherit" nowrap>
Preferred Response
</Text>
</span>
)}
{!isPreferred && (
<Button

View File

@@ -30,7 +30,7 @@ const SELECTION_PANEL_W = 400;
// Compact width for hidden panels in the carousel track
const HIDDEN_PANEL_W = 220;
// Generation-mode panel widths (from Figma)
const GEN_PANEL_W_2 = 720; // 2 panels side-by-side
const GEN_PANEL_W_2 = 640; // 2 panels side-by-side
const GEN_PANEL_W_3 = 436; // 3 panels side-by-side
// Gap between panels — matches CSS gap-6 (24px)
const PANEL_GAP = 24;
@@ -64,31 +64,14 @@ export default function MultiModelResponseView({
onMessageSelection,
onHiddenPanelsChange,
}: MultiModelResponseViewProps) {
// Initialize preferredIndex from the backend's preferred_response_id when
// loading an existing conversation.
const [preferredIndex, setPreferredIndex] = useState<number | null>(() => {
if (!parentMessage?.preferredResponseId) return null;
const match = responses.find(
(r) => r.messageId === parentMessage.preferredResponseId
);
return match?.modelIndex ?? null;
});
const [preferredIndex, setPreferredIndex] = useState<number | null>(null);
const [hiddenPanels, setHiddenPanels] = useState<Set<number>>(new Set());
// Controls animation: false = panels at start position, true = panels at peek position
const [selectionEntered, setSelectionEntered] = useState(
() => preferredIndex !== null
);
// Tracks the deselect animation timeout so it can be cancelled if the user
// re-selects a panel during the 450ms animation window.
const deselectTimeoutRef = useRef<ReturnType<typeof setTimeout> | null>(null);
// True while the reverse animation is playing (deselect → back to equal panels)
const [selectionExiting, setSelectionExiting] = useState(false);
const [selectionEntered, setSelectionEntered] = useState(false);
// Measures the overflow-hidden carousel container for responsive preferred-panel sizing.
const [trackContainerW, setTrackContainerW] = useState(0);
const roRef = useRef<ResizeObserver | null>(null);
const trackContainerElRef = useRef<HTMLDivElement | null>(null);
const trackContainerRef = useCallback((el: HTMLDivElement | null) => {
trackContainerElRef.current = el;
if (roRef.current) {
roRef.current.disconnect();
roRef.current = null;
@@ -107,9 +90,6 @@ export default function MultiModelResponseView({
number | null
>(null);
const preferredRoRef = useRef<ResizeObserver | null>(null);
// Refs to each panel wrapper for height animation on deselect
const panelElsRef = useRef<Map<number, HTMLDivElement>>(new Map());
// Tracks which non-preferred panels overflow the preferred height cap
const [overflowingPanels, setOverflowingPanels] = useState<Set<number>>(
new Set()
@@ -172,43 +152,12 @@ export default function MultiModelResponseView({
const handleSelectPreferred = useCallback(
(modelIndex: number) => {
if (isGenerating) return;
// Cancel any pending deselect animation so it doesn't overwrite this selection
if (deselectTimeoutRef.current !== null) {
clearTimeout(deselectTimeoutRef.current);
deselectTimeoutRef.current = null;
setSelectionExiting(false);
}
// Only freeze scroll when entering selection mode for the first time.
// When switching preferred within selection mode, panels are already
// capped and the track just slides — no height changes to worry about.
const alreadyInSelection = preferredIndex !== null;
if (!alreadyInSelection) {
const scrollContainer = trackContainerElRef.current?.closest(
"[data-chat-scroll]"
) as HTMLElement | null;
const scrollTop = scrollContainer?.scrollTop ?? 0;
if (scrollContainer) scrollContainer.style.overflow = "hidden";
setTimeout(() => {
if (scrollContainer) {
scrollContainer.scrollTop = scrollTop;
requestAnimationFrame(() => {
requestAnimationFrame(() => {
if (scrollContainer) {
scrollContainer.scrollTop = scrollTop;
scrollContainer.style.overflow = "";
}
});
});
}
}, 450);
}
setPreferredIndex(modelIndex);
const response = responses.find((r) => r.modelIndex === modelIndex);
if (!response) return;
if (onMessageSelection) {
onMessageSelection(response.nodeId);
}
// Persist preferred response to backend + update local tree so the
// input bar unblocks (awaitingPreferredSelection clears).
@@ -236,111 +185,17 @@ export default function MultiModelResponseView({
[
isGenerating,
responses,
preferredIndex,
onMessageSelection,
parentMessage,
currentSessionId,
updateSessionMessageTree,
]
);
// NOTE: Deselect only clears the local tree — no backend call to clear
// preferred_response_id. The SetPreferredResponseRequest model doesn't
// accept null. A backend endpoint for clearing preference would be needed
// if deselect should persist across reloads.
const handleDeselectPreferred = useCallback(() => {
const scrollContainer = trackContainerElRef.current?.closest(
"[data-chat-scroll]"
) as HTMLElement | null;
// Animate panels back to equal positions, then clear preferred after transition
setSelectionExiting(true);
setSelectionEntered(false);
deselectTimeoutRef.current = setTimeout(() => {
deselectTimeoutRef.current = null;
const scrollTop = scrollContainer?.scrollTop ?? 0;
if (scrollContainer) scrollContainer.style.overflow = "hidden";
// Before clearing state, animate each capped panel's height from
// its current clientHeight to its natural scrollHeight.
const animations: Animation[] = [];
panelElsRef.current.forEach((el, modelIndex) => {
if (modelIndex === preferredIndex) return;
if (hiddenPanels.has(modelIndex)) return;
const from = el.clientHeight;
const to = el.scrollHeight;
if (to <= from) return;
// Lock current height, remove maxHeight cap, then animate
el.style.maxHeight = `${from}px`;
el.style.overflow = "hidden";
const anim = el.animate(
[{ maxHeight: `${from}px` }, { maxHeight: `${to}px` }],
{
duration: 350,
easing: "cubic-bezier(0.2, 0, 0, 1)",
fill: "forwards",
}
);
animations.push(anim);
anim.onfinish = () => {
el.style.maxHeight = "";
el.style.overflow = "";
};
});
setSelectionExiting(false);
setPreferredIndex(null);
// Restore scroll after animations + React settle
const restoreScroll = () => {
requestAnimationFrame(() => {
if (scrollContainer) {
scrollContainer.scrollTop = scrollTop;
scrollContainer.style.overflow = "";
}
});
};
if (animations.length > 0) {
Promise.all(animations.map((a) => a.finished))
.then(restoreScroll)
.catch(restoreScroll);
} else {
restoreScroll();
}
// Clear preferredResponseId in the local tree so input bar re-gates
if (parentMessage && currentSessionId) {
const tree = useChatSessionStore
.getState()
.sessions.get(currentSessionId)?.messageTree;
if (tree) {
const userMsg = tree.get(parentMessage.nodeId);
if (userMsg) {
const updated = new Map(tree);
updated.set(parentMessage.nodeId, {
...userMsg,
preferredResponseId: undefined,
});
updateSessionMessageTree(currentSessionId, updated);
}
}
}
}, 450);
}, [
parentMessage,
currentSessionId,
updateSessionMessageTree,
preferredIndex,
hiddenPanels,
]);
// Clear preferred selection when generation starts
// Reset selection state when generation restarts
useEffect(() => {
if (isGenerating) {
setPreferredIndex(null);
setHasEnteredSelection(false);
setSelectionExiting(false);
}
}, [isGenerating]);
@@ -349,39 +204,22 @@ export default function MultiModelResponseView({
(r) => r.modelIndex === preferredIndex
);
// Track whether selection mode was ever entered — once it has been,
// we stay in the selection layout (even after deselect) to avoid a
// jarring DOM swap between the two layout strategies.
const [hasEnteredSelection, setHasEnteredSelection] = useState(
() => preferredIndex !== null
);
const isActivelySelected =
// Selection mode when preferred is set, found in responses, not generating, and at least 2 visible panels
const showSelectionMode =
preferredIndex !== null &&
preferredIdx !== -1 &&
!isGenerating &&
visibleResponses.length > 1;
// Trigger the slide-out animation one frame after entering selection mode
useEffect(() => {
if (isActivelySelected) setHasEnteredSelection(true);
}, [isActivelySelected]);
// Use the selection layout once a preferred response has been chosen,
// even after deselect. Only fall through to generation layout before
// the first selection or during active streaming.
const showSelectionMode = isActivelySelected || hasEnteredSelection;
// Trigger the slide-out animation one frame after a preferred panel is selected.
// Uses isActivelySelected (not showSelectionMode) so re-selecting after a
// deselect still triggers the animation.
useEffect(() => {
if (!isActivelySelected) {
// Don't reset selectionEntered here — handleDeselectPreferred manages it
if (!showSelectionMode) {
setSelectionEntered(false);
return;
}
const raf = requestAnimationFrame(() => setSelectionEntered(true));
return () => cancelAnimationFrame(raf);
}, [isActivelySelected]);
}, [showSelectionMode]);
// Build panel props — isHidden reflects actual hidden state
const buildPanelProps = useCallback(
@@ -393,7 +231,6 @@ export default function MultiModelResponseView({
isHidden: hiddenPanels.has(response.modelIndex),
isNonPreferredInSelection: isNonPreferred,
onSelect: () => handleSelectPreferred(response.modelIndex),
onDeselect: handleDeselectPreferred,
onToggleVisibility: () => toggleVisibility(response.modelIndex),
agentMessageProps: {
rawPackets: response.packets,
@@ -418,7 +255,6 @@ export default function MultiModelResponseView({
preferredIndex,
hiddenPanels,
handleSelectPreferred,
handleDeselectPreferred,
toggleVisibility,
chatState,
llmManager,
@@ -474,30 +310,25 @@ export default function MultiModelResponseView({
<div
ref={trackContainerRef}
className="w-full overflow-hidden"
style={
isActivelySelected
? {
maskImage: `linear-gradient(to right, transparent 0px, black ${PEEK_W}px, black calc(100% - ${PEEK_W}px), transparent 100%)`,
WebkitMaskImage: `linear-gradient(to right, transparent 0px, black ${PEEK_W}px, black calc(100% - ${PEEK_W}px), transparent 100%)`,
}
: undefined
}
style={{
maskImage: `linear-gradient(to right, transparent 0px, black ${PEEK_W}px, black calc(100% - ${PEEK_W}px), transparent 100%)`,
WebkitMaskImage: `linear-gradient(to right, transparent 0px, black ${PEEK_W}px, black calc(100% - ${PEEK_W}px), transparent 100%)`,
}}
>
<div
className="flex items-start"
style={{
gap: `${PANEL_GAP}px`,
transition:
selectionEntered || selectionExiting
? "transform 0.45s cubic-bezier(0.2, 0, 0, 1)"
: "none",
transition: selectionEntered
? "transform 0.45s cubic-bezier(0.2, 0, 0, 1)"
: "none",
transform: trackTransform,
}}
>
{responses.map((r, i) => {
const isHidden = hiddenPanels.has(r.modelIndex);
const isPref = r.modelIndex === preferredIndex;
const isNonPref = !isHidden && !isPref && preferredIndex !== null;
const isNonPref = !isHidden && !isPref;
const finalW = selectionWidths[i]!;
const startW = isHidden ? HIDDEN_PANEL_W : SELECTION_PANEL_W;
const capped = isNonPref && preferredPanelHeight != null;
@@ -506,11 +337,6 @@ export default function MultiModelResponseView({
<div
key={r.modelIndex}
ref={(el) => {
if (el) {
panelElsRef.current.set(r.modelIndex, el);
} else {
panelElsRef.current.delete(r.modelIndex);
}
if (isPref) preferredPanelRef(el);
if (capped && el) {
const doesOverflow = el.scrollHeight > el.clientHeight;
@@ -527,10 +353,9 @@ export default function MultiModelResponseView({
style={{
width: `${selectionEntered ? finalW : startW}px`,
flexShrink: 0,
transition:
selectionEntered || selectionExiting
? "width 0.45s cubic-bezier(0.2, 0, 0, 1)"
: "none",
transition: selectionEntered
? "width 0.45s cubic-bezier(0.2, 0, 0, 1)"
: "none",
maxHeight: capped ? preferredPanelHeight : undefined,
overflow: capped ? "hidden" : undefined,
position: capped ? "relative" : undefined,
@@ -563,7 +388,7 @@ export default function MultiModelResponseView({
return (
<div className="overflow-x-auto">
<div className="flex gap-6 items-start justify-center w-full">
<div className="flex gap-6 items-start w-full">
{responses.map((r) => {
const isHidden = hiddenPanels.has(r.modelIndex);
return (

View File

@@ -18,7 +18,7 @@ import {
isRecommendedModel,
} from "@/app/craft/onboarding/constants";
import { ToggleWarningModal } from "./ToggleWarningModal";
import { getModelIcon } from "@/lib/llmConfig";
import { getModelIcon } from "@/lib/llmConfig/providers";
import { Section } from "@/layouts/general-layouts";
import {
Accordion,

View File

@@ -48,7 +48,7 @@ import NotAllowedModal from "@/app/craft/onboarding/components/NotAllowedModal";
import { useOnboarding } from "@/app/craft/onboarding/BuildOnboardingProvider";
import { useLLMProviders } from "@/hooks/useLLMProviders";
import { useUser } from "@/providers/UserProvider";
import { getModelIcon } from "@/lib/llmConfig";
import { getModelIcon } from "@/lib/llmConfig/providers";
import {
getBuildUserPersona,
getPersonaInfo,

View File

@@ -1,5 +1,5 @@
:root {
--app-page-main-content-width: 45rem;
--app-page-main-content-width: 52.5rem;
--block-width-form-input-min: 10rem;
--container-sm: 42rem;

View File

@@ -45,9 +45,6 @@ import { personaIncludesRetrieval } from "@/app/app/services/lib";
import { useQueryController } from "@/providers/QueryControllerProvider";
import { eeGated } from "@/ce";
import EESearchUI from "@/ee/sections/SearchUI";
import useMultiModelChat from "@/hooks/useMultiModelChat";
import ModelSelector from "@/refresh-components/popovers/ModelSelector";
import { Section } from "@/layouts/general-layouts";
const SearchUI = eeGated(EESearchUI);
@@ -108,20 +105,6 @@ export default function NRFPage({ isSidePanel = false }: NRFPageProps) {
// If no LLM provider is configured (e.g., fresh signup), the input bar is
// disabled and a "Set up an LLM" button is shown (see bottom of component).
const llmManager = useLlmManager(undefined, liveAgent ?? undefined);
const multiModel = useMultiModelChat(llmManager);
// Sync single-model selection to llmManager so the submission path
// uses the correct provider/version (mirrors AppPage behaviour).
useEffect(() => {
if (multiModel.selectedModels.length === 1) {
const model = multiModel.selectedModels[0]!;
llmManager.updateCurrentLlm({
name: model.name,
provider: model.provider,
modelName: model.modelName,
});
}
}, [multiModel.selectedModels]);
// Deep research toggle
const { deepResearchEnabled, toggleDeepResearch } = useDeepResearchToggle({
@@ -312,17 +295,12 @@ export default function NRFPage({ isSidePanel = false }: NRFPageProps) {
// If we already have messages (chat session started), always use chat mode
// (matches AppPage behavior where existing sessions bypass classification)
const selectedModels = multiModel.isMultiModelActive
? multiModel.selectedModels
: undefined;
if (hasMessages) {
onSubmit({
message: submittedMessage,
currentMessageFiles: currentMessageFiles,
deepResearch: deepResearchEnabled,
additionalContext,
selectedModels,
});
return;
}
@@ -334,7 +312,6 @@ export default function NRFPage({ isSidePanel = false }: NRFPageProps) {
currentMessageFiles: currentMessageFiles,
deepResearch: deepResearchEnabled,
additionalContext,
selectedModels,
});
};
@@ -351,8 +328,6 @@ export default function NRFPage({ isSidePanel = false }: NRFPageProps) {
submitQuery,
tabReadingEnabled,
currentTabUrl,
multiModel.isMultiModelActive,
multiModel.selectedModels,
]
);
@@ -481,7 +456,6 @@ export default function NRFPage({ isSidePanel = false }: NRFPageProps) {
onResubmit={handleResubmitLastMessage}
deepResearchEnabled={deepResearchEnabled}
anchorNodeId={anchorNodeId}
selectedModels={multiModel.selectedModels}
/>
</ChatScrollContainer>
</>
@@ -490,23 +464,7 @@ export default function NRFPage({ isSidePanel = false }: NRFPageProps) {
{/* Welcome message - centered when no messages and not in search mode */}
{!hasMessages && !isSearch && (
<div className="relative w-full flex-1 flex flex-col items-center justify-end">
<Section
flexDirection="row"
justifyContent="between"
alignItems="end"
className="max-w-[var(--app-page-main-content-width)]"
>
<WelcomeMessage isDefaultAgent />
{liveAgent && !llmManager.isLoadingProviders && (
<ModelSelector
llmManager={llmManager}
selectedModels={multiModel.selectedModels}
onAdd={multiModel.addModel}
onRemove={multiModel.removeModel}
onReplace={multiModel.replaceModel}
/>
)}
</Section>
<WelcomeMessage isDefaultAgent />
<Spacer rem={1.5} />
</div>
)}
@@ -520,17 +478,6 @@ export default function NRFPage({ isSidePanel = false }: NRFPageProps) {
"max-w-[var(--app-page-main-content-width)] px-4"
)}
>
{hasMessages && liveAgent && !llmManager.isLoadingProviders && (
<div className="pb-1">
<ModelSelector
llmManager={llmManager}
selectedModels={multiModel.selectedModels}
onAdd={multiModel.addModel}
onRemove={multiModel.removeModel}
onReplace={multiModel.replaceModel}
/>
</div>
)}
<AppInputBar
ref={chatInputBarRef}
deepResearchEnabled={deepResearchEnabled}

View File

@@ -3,7 +3,7 @@
import { useMemo } from "react";
import { parseLlmDescriptor, structureValue } from "@/lib/llmConfig/utils";
import { DefaultModel, LLMProviderDescriptor } from "@/interfaces/llm";
import { getModelIcon } from "@/lib/llmConfig";
import { getModelIcon } from "@/lib/llmConfig/providers";
import InputSelect from "@/refresh-components/inputs/InputSelect";
import { createIcon } from "@/components/icons/icons";

View File

@@ -1,251 +0,0 @@
import type { IconFunctionComponent } from "@opal/types";
import { SvgCpu, SvgPlug, SvgServer } from "@opal/icons";
import {
SvgBifrost,
SvgOpenai,
SvgClaude,
SvgOllama,
SvgAws,
SvgOpenrouter,
SvgAzure,
SvgGemini,
SvgLitellm,
SvgLmStudio,
SvgMicrosoft,
SvgMistral,
SvgDeepseek,
SvgQwen,
SvgGoogle,
} from "@opal/logos";
import { ZAIIcon } from "@/components/icons/icons";
import { LLMProviderFormProps, LLMProviderName } from "@/interfaces/llm";
import type { LLMProviderView } from "@/interfaces/llm";
import OpenAIModal from "@/sections/modals/llmConfig/OpenAIModal";
import AnthropicModal from "@/sections/modals/llmConfig/AnthropicModal";
import OllamaModal from "@/sections/modals/llmConfig/OllamaModal";
import AzureModal from "@/sections/modals/llmConfig/AzureModal";
import BedrockModal from "@/sections/modals/llmConfig/BedrockModal";
import VertexAIModal from "@/sections/modals/llmConfig/VertexAIModal";
import OpenRouterModal from "@/sections/modals/llmConfig/OpenRouterModal";
import CustomModal from "@/sections/modals/llmConfig/CustomModal";
import LMStudioModal from "@/sections/modals/llmConfig/LMStudioModal";
import LiteLLMProxyModal from "@/sections/modals/llmConfig/LiteLLMProxyModal";
import BifrostModal from "@/sections/modals/llmConfig/BifrostModal";
import OpenAICompatibleModal from "@/sections/modals/llmConfig/OpenAICompatibleModal";
// ─── Text (LLM) providers ────────────────────────────────────────────────────
export interface ProviderEntry {
icon: IconFunctionComponent;
productName: string;
companyName: string;
Modal: React.ComponentType<LLMProviderFormProps>;
}
const PROVIDERS: Record<string, ProviderEntry> = {
[LLMProviderName.OPENAI]: {
icon: SvgOpenai,
productName: "GPT",
companyName: "OpenAI",
Modal: OpenAIModal,
},
[LLMProviderName.ANTHROPIC]: {
icon: SvgClaude,
productName: "Claude",
companyName: "Anthropic",
Modal: AnthropicModal,
},
[LLMProviderName.VERTEX_AI]: {
icon: SvgGemini,
productName: "Gemini",
companyName: "Google Cloud Vertex AI",
Modal: VertexAIModal,
},
[LLMProviderName.BEDROCK]: {
icon: SvgAws,
productName: "Amazon Bedrock",
companyName: "AWS",
Modal: BedrockModal,
},
[LLMProviderName.AZURE]: {
icon: SvgAzure,
productName: "Azure OpenAI",
companyName: "Microsoft Azure",
Modal: AzureModal,
},
[LLMProviderName.LITELLM]: {
icon: SvgLitellm,
productName: "LiteLLM",
companyName: "LiteLLM",
Modal: CustomModal,
},
[LLMProviderName.LITELLM_PROXY]: {
icon: SvgLitellm,
productName: "LiteLLM Proxy",
companyName: "LiteLLM Proxy",
Modal: LiteLLMProxyModal,
},
[LLMProviderName.OLLAMA_CHAT]: {
icon: SvgOllama,
productName: "Ollama",
companyName: "Ollama",
Modal: OllamaModal,
},
[LLMProviderName.OPENROUTER]: {
icon: SvgOpenrouter,
productName: "OpenRouter",
companyName: "OpenRouter",
Modal: OpenRouterModal,
},
[LLMProviderName.LM_STUDIO]: {
icon: SvgLmStudio,
productName: "LM Studio",
companyName: "LM Studio",
Modal: LMStudioModal,
},
[LLMProviderName.BIFROST]: {
icon: SvgBifrost,
productName: "Bifrost",
companyName: "Bifrost",
Modal: BifrostModal,
},
[LLMProviderName.OPENAI_COMPATIBLE]: {
icon: SvgPlug,
productName: "OpenAI-Compatible",
companyName: "OpenAI-Compatible",
Modal: OpenAICompatibleModal,
},
[LLMProviderName.CUSTOM]: {
icon: SvgServer,
productName: "Custom Models",
companyName: "models from other LiteLLM-compatible providers",
Modal: CustomModal,
},
};
const DEFAULT_ENTRY: ProviderEntry = {
icon: SvgCpu,
productName: "",
companyName: "",
Modal: CustomModal,
};
// Providers that don't use custom_config themselves — if custom_config is
// present it means the provider was originally created via CustomModal.
const CUSTOM_CONFIG_OVERRIDES = new Set<string>([
LLMProviderName.OPENAI,
LLMProviderName.ANTHROPIC,
LLMProviderName.AZURE,
LLMProviderName.OPENROUTER,
]);
export function getProvider(
providerName: string,
existingProvider?: LLMProviderView
): ProviderEntry {
const entry = PROVIDERS[providerName] ?? {
...DEFAULT_ENTRY,
productName: providerName,
companyName: providerName,
};
if (
existingProvider?.custom_config != null &&
CUSTOM_CONFIG_OVERRIDES.has(providerName)
) {
return { ...entry, Modal: CustomModal };
}
return entry;
}
// ─── Aggregator providers ────────────────────────────────────────────────────
// Providers that host models from multiple vendors (e.g. Bedrock hosts Claude,
// Llama, etc.) Used by the model-icon resolver to prioritise vendor icons.
export const AGGREGATOR_PROVIDERS = new Set([
LLMProviderName.BEDROCK,
"bedrock_converse",
LLMProviderName.OPENROUTER,
LLMProviderName.OLLAMA_CHAT,
LLMProviderName.LM_STUDIO,
LLMProviderName.LITELLM_PROXY,
LLMProviderName.BIFROST,
LLMProviderName.OPENAI_COMPATIBLE,
LLMProviderName.VERTEX_AI,
]);
// ─── Model-aware icon resolver ───────────────────────────────────────────────
const MODEL_ICON_MAP: Record<string, IconFunctionComponent> = {
[LLMProviderName.OPENAI]: SvgOpenai,
[LLMProviderName.ANTHROPIC]: SvgClaude,
[LLMProviderName.OLLAMA_CHAT]: SvgOllama,
[LLMProviderName.LM_STUDIO]: SvgLmStudio,
[LLMProviderName.OPENROUTER]: SvgOpenrouter,
[LLMProviderName.VERTEX_AI]: SvgGemini,
[LLMProviderName.BEDROCK]: SvgAws,
[LLMProviderName.LITELLM_PROXY]: SvgLitellm,
[LLMProviderName.BIFROST]: SvgBifrost,
[LLMProviderName.OPENAI_COMPATIBLE]: SvgPlug,
amazon: SvgAws,
phi: SvgMicrosoft,
mistral: SvgMistral,
ministral: SvgMistral,
llama: SvgCpu,
ollama: SvgOllama,
gemini: SvgGemini,
deepseek: SvgDeepseek,
claude: SvgClaude,
azure: SvgAzure,
microsoft: SvgMicrosoft,
meta: SvgCpu,
google: SvgGoogle,
qwen: SvgQwen,
qwq: SvgQwen,
zai: ZAIIcon,
bedrock_converse: SvgAws,
};
/**
* Model-aware icon resolver that checks both provider name and model name
* to pick the most specific icon (e.g. Claude icon for a Bedrock Claude model).
*/
export function getModelIcon(
providerName: string,
modelName?: string
): IconFunctionComponent {
const lowerProviderName = providerName.toLowerCase();
// For aggregator providers, prioritise showing the vendor icon based on model name
if (AGGREGATOR_PROVIDERS.has(lowerProviderName) && modelName) {
const lowerModelName = modelName.toLowerCase();
for (const [key, icon] of Object.entries(MODEL_ICON_MAP)) {
if (lowerModelName.includes(key)) {
return icon;
}
}
}
// Check if provider name directly matches an icon
if (lowerProviderName in MODEL_ICON_MAP) {
const icon = MODEL_ICON_MAP[lowerProviderName];
if (icon) {
return icon;
}
}
// For non-aggregator providers, check if model name contains any of the keys
if (modelName) {
const lowerModelName = modelName.toLowerCase();
for (const [key, icon] of Object.entries(MODEL_ICON_MAP)) {
if (lowerModelName.includes(key)) {
return icon;
}
}
}
// Fallback to CPU icon if no matches
return SvgCpu;
}

View File

@@ -0,0 +1,176 @@
import type { IconFunctionComponent } from "@opal/types";
import { SvgCpu, SvgPlug, SvgServer } from "@opal/icons";
import {
SvgBifrost,
SvgOpenai,
SvgClaude,
SvgOllama,
SvgAws,
SvgOpenrouter,
SvgAzure,
SvgGemini,
SvgLitellm,
SvgLmStudio,
SvgMicrosoft,
SvgMistral,
SvgDeepseek,
SvgQwen,
SvgGoogle,
} from "@opal/logos";
import { ZAIIcon } from "@/components/icons/icons";
import { LLMProviderName } from "@/interfaces/llm";
export const AGGREGATOR_PROVIDERS = new Set([
LLMProviderName.BEDROCK,
"bedrock_converse",
LLMProviderName.OPENROUTER,
LLMProviderName.OLLAMA_CHAT,
LLMProviderName.LM_STUDIO,
LLMProviderName.LITELLM_PROXY,
LLMProviderName.BIFROST,
LLMProviderName.OPENAI_COMPATIBLE,
LLMProviderName.VERTEX_AI,
]);
const PROVIDER_ICONS: Record<string, IconFunctionComponent> = {
[LLMProviderName.OPENAI]: SvgOpenai,
[LLMProviderName.ANTHROPIC]: SvgClaude,
[LLMProviderName.VERTEX_AI]: SvgGemini,
[LLMProviderName.BEDROCK]: SvgAws,
[LLMProviderName.AZURE]: SvgAzure,
[LLMProviderName.LITELLM]: SvgLitellm,
[LLMProviderName.LITELLM_PROXY]: SvgLitellm,
[LLMProviderName.OLLAMA_CHAT]: SvgOllama,
[LLMProviderName.OPENROUTER]: SvgOpenrouter,
[LLMProviderName.LM_STUDIO]: SvgLmStudio,
[LLMProviderName.BIFROST]: SvgBifrost,
[LLMProviderName.OPENAI_COMPATIBLE]: SvgPlug,
// fallback
[LLMProviderName.CUSTOM]: SvgServer,
};
const PROVIDER_PRODUCT_NAMES: Record<string, string> = {
[LLMProviderName.OPENAI]: "GPT",
[LLMProviderName.ANTHROPIC]: "Claude",
[LLMProviderName.VERTEX_AI]: "Gemini",
[LLMProviderName.BEDROCK]: "Amazon Bedrock",
[LLMProviderName.AZURE]: "Azure OpenAI",
[LLMProviderName.LITELLM]: "LiteLLM",
[LLMProviderName.LITELLM_PROXY]: "LiteLLM Proxy",
[LLMProviderName.OLLAMA_CHAT]: "Ollama",
[LLMProviderName.OPENROUTER]: "OpenRouter",
[LLMProviderName.LM_STUDIO]: "LM Studio",
[LLMProviderName.BIFROST]: "Bifrost",
[LLMProviderName.OPENAI_COMPATIBLE]: "OpenAI-Compatible",
// fallback
[LLMProviderName.CUSTOM]: "Custom Models",
};
const PROVIDER_DISPLAY_NAMES: Record<string, string> = {
[LLMProviderName.OPENAI]: "OpenAI",
[LLMProviderName.ANTHROPIC]: "Anthropic",
[LLMProviderName.VERTEX_AI]: "Google Cloud Vertex AI",
[LLMProviderName.BEDROCK]: "AWS",
[LLMProviderName.AZURE]: "Microsoft Azure",
[LLMProviderName.LITELLM]: "LiteLLM",
[LLMProviderName.LITELLM_PROXY]: "LiteLLM Proxy",
[LLMProviderName.OLLAMA_CHAT]: "Ollama",
[LLMProviderName.OPENROUTER]: "OpenRouter",
[LLMProviderName.LM_STUDIO]: "LM Studio",
[LLMProviderName.BIFROST]: "Bifrost",
[LLMProviderName.OPENAI_COMPATIBLE]: "OpenAI-Compatible",
// fallback
[LLMProviderName.CUSTOM]: "models from other LiteLLM-compatible providers",
};
export function getProviderProductName(providerName: string): string {
return PROVIDER_PRODUCT_NAMES[providerName] ?? providerName;
}
export function getProviderDisplayName(providerName: string): string {
return PROVIDER_DISPLAY_NAMES[providerName] ?? providerName;
}
export function getProviderIcon(providerName: string): IconFunctionComponent {
return PROVIDER_ICONS[providerName] ?? SvgCpu;
}
// ---------------------------------------------------------------------------
// Model-aware icon resolver (legacy icon set)
// ---------------------------------------------------------------------------
const MODEL_ICON_MAP: Record<string, IconFunctionComponent> = {
[LLMProviderName.OPENAI]: SvgOpenai,
[LLMProviderName.ANTHROPIC]: SvgClaude,
[LLMProviderName.OLLAMA_CHAT]: SvgOllama,
[LLMProviderName.LM_STUDIO]: SvgLmStudio,
[LLMProviderName.OPENROUTER]: SvgOpenrouter,
[LLMProviderName.VERTEX_AI]: SvgGemini,
[LLMProviderName.BEDROCK]: SvgAws,
[LLMProviderName.LITELLM_PROXY]: SvgLitellm,
[LLMProviderName.BIFROST]: SvgBifrost,
[LLMProviderName.OPENAI_COMPATIBLE]: SvgPlug,
amazon: SvgAws,
phi: SvgMicrosoft,
mistral: SvgMistral,
ministral: SvgMistral,
llama: SvgCpu,
ollama: SvgOllama,
gemini: SvgGemini,
deepseek: SvgDeepseek,
claude: SvgClaude,
azure: SvgAzure,
microsoft: SvgMicrosoft,
meta: SvgCpu,
google: SvgGoogle,
qwen: SvgQwen,
qwq: SvgQwen,
zai: ZAIIcon,
bedrock_converse: SvgAws,
};
/**
* Model-aware icon resolver that checks both provider name and model name
* to pick the most specific icon (e.g. Claude icon for a Bedrock Claude model).
*/
export const getModelIcon = (
providerName: string,
modelName?: string
): IconFunctionComponent => {
const lowerProviderName = providerName.toLowerCase();
// For aggregator providers, prioritise showing the vendor icon based on model name
if (AGGREGATOR_PROVIDERS.has(lowerProviderName) && modelName) {
const lowerModelName = modelName.toLowerCase();
for (const [key, icon] of Object.entries(MODEL_ICON_MAP)) {
if (lowerModelName.includes(key)) {
return icon;
}
}
}
// Check if provider name directly matches an icon
if (lowerProviderName in MODEL_ICON_MAP) {
const icon = MODEL_ICON_MAP[lowerProviderName];
if (icon) {
return icon;
}
}
// For non-aggregator providers, check if model name contains any of the keys
if (modelName) {
const lowerModelName = modelName.toLowerCase();
for (const [key, icon] of Object.entries(MODEL_ICON_MAP)) {
if (lowerModelName.includes(key)) {
return icon;
}
}
}
// Fallback to CPU icon if no matches
return SvgCpu;
};

View File

@@ -44,7 +44,7 @@ export function getFinalLLM(
return [provider, model];
}
export function getProviderOverrideForPersona(
export function getLLMProviderOverrideForPersona(
liveAgent: MinimalPersonaSnapshot,
llmProviders: LLMProviderDescriptor[]
): LlmDescriptor | null {
@@ -144,7 +144,7 @@ export function getDisplayName(
agent: MinimalPersonaSnapshot,
llmProviders: LLMProviderDescriptor[]
): string | undefined {
const llmDescriptor = getProviderOverrideForPersona(
const llmDescriptor = getLLMProviderOverrideForPersona(
agent,
llmProviders ?? []
);

View File

@@ -4,7 +4,7 @@ import { useState, useEffect, useCallback, useMemo, useRef } from "react";
import Popover from "@/refresh-components/Popover";
import { LlmDescriptor, LlmManager } from "@/lib/hooks";
import { structureValue } from "@/lib/llmConfig/utils";
import { getModelIcon } from "@/lib/llmConfig";
import { getModelIcon } from "@/lib/llmConfig/providers";
import { AGGREGATOR_PROVIDERS } from "@/lib/llmConfig/svc";
import { Slider } from "@/components/ui/slider";

View File

@@ -3,7 +3,7 @@
import { useState, useMemo, useRef } from "react";
import Popover from "@/refresh-components/Popover";
import { LlmManager } from "@/lib/hooks";
import { getModelIcon } from "@/lib/llmConfig";
import { getModelIcon } from "@/lib/llmConfig/providers";
import { Button, SelectButton, OpenButton } from "@opal/components";
import { SvgPlusCircle, SvgX } from "@opal/icons";
import { LLMOption } from "@/refresh-components/popovers/interfaces";
@@ -104,7 +104,6 @@ export default function ModelSelector({
onRemove(existingIndex);
} else if (!atMax) {
onAdd(model);
setOpen(false);
}
};
@@ -215,17 +214,15 @@ export default function ModelSelector({
)}
</div>
{!(atMax && replacingIndex === null) && (
<Popover.Content side="top" align="end" width="lg">
<ModelListContent
llmProviders={llmManager.llmProviders}
isLoading={llmManager.isLoadingProviders}
onSelect={handleSelect}
isSelected={isSelected}
isDisabled={isDisabled}
/>
</Popover.Content>
)}
<Popover.Content side="top" align="end" width="lg">
<ModelListContent
llmProviders={llmManager.llmProviders}
isLoading={llmManager.isLoadingProviders}
onSelect={handleSelect}
isSelected={isSelected}
isDisabled={isDisabled}
/>
</Popover.Content>
</Popover>
);
}

View File

@@ -400,22 +400,19 @@ export default function AppPage({ firstMessage }: ChatPageProps) {
const multiModel = useMultiModelChat(llmManager);
// Auto-fold sidebar when a multi-model message is submitted.
// Stays collapsed until the user exits multi-model mode (removes models).
// Auto-fold sidebar when multi-model is active (panels need full width)
const { folded: sidebarFolded, setFolded: setSidebarFolded } =
useSidebarState();
const preMultiModelFoldedRef = useRef<boolean | null>(null);
const foldSidebarForMultiModel = useCallback(() => {
if (preMultiModelFoldedRef.current === null) {
preMultiModelFoldedRef.current = sidebarFolded;
setSidebarFolded(true);
}
}, [sidebarFolded, setSidebarFolded]);
// Restore sidebar when user exits multi-model mode
useEffect(() => {
if (
multiModel.isMultiModelActive &&
preMultiModelFoldedRef.current === null
) {
preMultiModelFoldedRef.current = sidebarFolded;
setSidebarFolded(true);
} else if (
!multiModel.isMultiModelActive &&
preMultiModelFoldedRef.current !== null
) {
@@ -535,9 +532,6 @@ export default function AppPage({ firstMessage }: ChatPageProps) {
const onChat = useCallback(
(message: string) => {
if (multiModel.isMultiModelActive) {
foldSidebarForMultiModel();
}
resetInputBar();
onSubmit({
message,
@@ -558,7 +552,6 @@ export default function AppPage({ firstMessage }: ChatPageProps) {
deepResearchEnabledForCurrentWorkflow,
multiModel.isMultiModelActive,
multiModel.selectedModels,
foldSidebarForMultiModel,
showOnboarding,
onboardingDismissed,
finishOnboarding,
@@ -871,15 +864,13 @@ export default function AppPage({ firstMessage }: ChatPageProps) {
agent={liveAgent}
isDefaultAgent={isDefaultAgent}
/>
{liveAgent && !llmManager.isLoadingProviders && (
<ModelSelector
llmManager={llmManager}
selectedModels={multiModel.selectedModels}
onAdd={multiModel.addModel}
onRemove={multiModel.removeModel}
onReplace={multiModel.replaceModel}
/>
)}
<ModelSelector
llmManager={llmManager}
selectedModels={multiModel.selectedModels}
onAdd={multiModel.addModel}
onRemove={multiModel.removeModel}
onReplace={multiModel.replaceModel}
/>
</Section>
<Spacer rem={1.5} />
</Fade>
@@ -945,19 +936,17 @@ export default function AppPage({ firstMessage }: ChatPageProps) {
isSearch ? "h-[14px]" : "h-0"
)}
/>
{appFocus.isChat() &&
liveAgent &&
!llmManager.isLoadingProviders && (
<div className="pb-1">
<ModelSelector
llmManager={llmManager}
selectedModels={multiModel.selectedModels}
onAdd={multiModel.addModel}
onRemove={multiModel.removeModel}
onReplace={multiModel.replaceModel}
/>
</div>
)}
{appFocus.isChat() && (
<div className="pb-1">
<ModelSelector
llmManager={llmManager}
selectedModels={multiModel.selectedModels}
onAdd={multiModel.addModel}
onRemove={multiModel.removeModel}
onReplace={multiModel.replaceModel}
/>
</div>
)}
<AppInputBar
ref={chatInputBarRef}
deepResearchEnabled={

View File

@@ -15,7 +15,11 @@ import { SvgArrowExchange, SvgSettings, SvgTrash } from "@opal/icons";
import * as SettingsLayouts from "@/layouts/settings-layouts";
import { ADMIN_ROUTES } from "@/lib/admin-routes";
import * as GeneralLayouts from "@/layouts/general-layouts";
import { getProvider } from "@/lib/llmConfig";
import {
getProviderDisplayName,
getProviderIcon,
getProviderProductName,
} from "@/lib/llmConfig/providers";
import { refreshLlmProviderCaches } from "@/lib/llmConfig/cache";
import { deleteLlmProvider, setDefaultLlmModel } from "@/lib/llmConfig/svc";
import { Horizontal as HorizontalInput } from "@/layouts/input-layouts";
@@ -29,6 +33,19 @@ import {
LLMProviderView,
WellKnownLLMProviderDescriptor,
} from "@/interfaces/llm";
import { getModalForExistingProvider } from "@/sections/modals/llmConfig/getModal";
import OpenAIModal from "@/sections/modals/llmConfig/OpenAIModal";
import AnthropicModal from "@/sections/modals/llmConfig/AnthropicModal";
import OllamaModal from "@/sections/modals/llmConfig/OllamaModal";
import AzureModal from "@/sections/modals/llmConfig/AzureModal";
import BedrockModal from "@/sections/modals/llmConfig/BedrockModal";
import VertexAIModal from "@/sections/modals/llmConfig/VertexAIModal";
import OpenRouterModal from "@/sections/modals/llmConfig/OpenRouterModal";
import CustomModal from "@/sections/modals/llmConfig/CustomModal";
import LMStudioModal from "@/sections/modals/llmConfig/LMStudioModal";
import LiteLLMProxyModal from "@/sections/modals/llmConfig/LiteLLMProxyModal";
import BifrostModal from "@/sections/modals/llmConfig/BifrostModal";
import OpenAICompatibleModal from "@/sections/modals/llmConfig/OpenAICompatibleModal";
import { Section } from "@/layouts/general-layouts";
import { markdown } from "@opal/utils";
@@ -55,6 +72,51 @@ const PROVIDER_DISPLAY_ORDER: string[] = [
LLMProviderName.OPENAI_COMPATIBLE,
];
const PROVIDER_MODAL_MAP: Record<
string,
(
shouldMarkAsDefault: boolean,
onOpenChange: (open: boolean) => void
) => React.ReactNode
> = {
openai: (d, onOpenChange) => (
<OpenAIModal shouldMarkAsDefault={d} onOpenChange={onOpenChange} />
),
anthropic: (d, onOpenChange) => (
<AnthropicModal shouldMarkAsDefault={d} onOpenChange={onOpenChange} />
),
ollama_chat: (d, onOpenChange) => (
<OllamaModal shouldMarkAsDefault={d} onOpenChange={onOpenChange} />
),
azure: (d, onOpenChange) => (
<AzureModal shouldMarkAsDefault={d} onOpenChange={onOpenChange} />
),
bedrock: (d, onOpenChange) => (
<BedrockModal shouldMarkAsDefault={d} onOpenChange={onOpenChange} />
),
vertex_ai: (d, onOpenChange) => (
<VertexAIModal shouldMarkAsDefault={d} onOpenChange={onOpenChange} />
),
openrouter: (d, onOpenChange) => (
<OpenRouterModal shouldMarkAsDefault={d} onOpenChange={onOpenChange} />
),
lm_studio: (d, onOpenChange) => (
<LMStudioModal shouldMarkAsDefault={d} onOpenChange={onOpenChange} />
),
litellm_proxy: (d, onOpenChange) => (
<LiteLLMProxyModal shouldMarkAsDefault={d} onOpenChange={onOpenChange} />
),
bifrost: (d, onOpenChange) => (
<BifrostModal shouldMarkAsDefault={d} onOpenChange={onOpenChange} />
),
openai_compatible: (d, onOpenChange) => (
<OpenAICompatibleModal
shouldMarkAsDefault={d}
onOpenChange={onOpenChange}
/>
),
};
// ============================================================================
// ExistingProviderCard — card for configured (existing) providers
// ============================================================================
@@ -63,12 +125,14 @@ interface ExistingProviderCardProps {
provider: LLMProviderView;
isDefault: boolean;
isLastProvider: boolean;
defaultModelName?: string;
}
function ExistingProviderCard({
provider,
isDefault,
isLastProvider,
defaultModelName,
}: ExistingProviderCardProps) {
const { mutate } = useSWRConfig();
const [isOpen, setIsOpen] = useState(false);
@@ -86,14 +150,8 @@ function ExistingProviderCard({
}
};
const { icon, companyName, Modal } = getProvider(provider.provider, provider);
return (
<>
{isOpen && (
<Modal existingLlmProvider={provider} onOpenChange={setIsOpen} />
)}
{deleteModal.isOpen && (
<ConfirmationModalLayout
icon={SvgTrash}
@@ -144,9 +202,9 @@ function ExistingProviderCard({
onClick={() => setIsOpen(true)}
>
<CardLayout.Header
icon={icon}
icon={getProviderIcon(provider.provider)}
title={provider.name}
description={companyName}
description={getProviderDisplayName(provider.provider)}
sizePreset="main-ui"
variant="section"
tag={isDefault ? { title: "Default", color: "blue" } : undefined}
@@ -178,6 +236,8 @@ function ExistingProviderCard({
</div>
}
/>
{isOpen &&
getModalForExistingProvider(provider, setIsOpen, defaultModelName)}
</SelectCard>
</Hoverable.Root>
</>
@@ -191,11 +251,18 @@ function ExistingProviderCard({
interface NewProviderCardProps {
provider: WellKnownLLMProviderDescriptor;
isFirstProvider: boolean;
formFn: (
shouldMarkAsDefault: boolean,
onOpenChange: (open: boolean) => void
) => React.ReactNode;
}
function NewProviderCard({ provider, isFirstProvider }: NewProviderCardProps) {
function NewProviderCard({
provider,
isFirstProvider,
formFn,
}: NewProviderCardProps) {
const [isOpen, setIsOpen] = useState(false);
const { icon, productName, companyName, Modal } = getProvider(provider.name);
return (
<SelectCard
@@ -205,9 +272,9 @@ function NewProviderCard({ provider, isFirstProvider }: NewProviderCardProps) {
onClick={() => setIsOpen(true)}
>
<CardLayout.Header
icon={icon}
title={productName}
description={companyName}
icon={getProviderIcon(provider.name)}
title={getProviderProductName(provider.name)}
description={getProviderDisplayName(provider.name)}
sizePreset="main-ui"
variant="section"
rightChildren={
@@ -223,9 +290,7 @@ function NewProviderCard({ provider, isFirstProvider }: NewProviderCardProps) {
</Button>
}
/>
{isOpen && (
<Modal shouldMarkAsDefault={isFirstProvider} onOpenChange={setIsOpen} />
)}
{isOpen && formFn(isFirstProvider, setIsOpen)}
</SelectCard>
);
}
@@ -242,7 +307,6 @@ function NewCustomProviderCard({
isFirstProvider,
}: NewCustomProviderCardProps) {
const [isOpen, setIsOpen] = useState(false);
const { icon, productName, companyName, Modal } = getProvider("custom");
return (
<SelectCard
@@ -252,9 +316,9 @@ function NewCustomProviderCard({
onClick={() => setIsOpen(true)}
>
<CardLayout.Header
icon={icon}
title={productName}
description={companyName}
icon={getProviderIcon("custom")}
title={getProviderProductName("custom")}
description={getProviderDisplayName("custom")}
sizePreset="main-ui"
variant="section"
rightChildren={
@@ -271,7 +335,10 @@ function NewCustomProviderCard({
}
/>
{isOpen && (
<Modal shouldMarkAsDefault={isFirstProvider} onOpenChange={setIsOpen} />
<CustomModal
shouldMarkAsDefault={isFirstProvider}
onOpenChange={setIsOpen}
/>
)}
</SelectCard>
);
@@ -281,7 +348,7 @@ function NewCustomProviderCard({
// LLMConfigurationPage — main page component
// ============================================================================
export default function LLMConfigurationPage() {
export default function LLMProviderConfigurationPage() {
const { mutate } = useSWRConfig();
const { llmProviders: existingLlmProviders, defaultText } =
useAdminLLMProviders();
@@ -402,6 +469,11 @@ export default function LLMConfigurationPage() {
provider={provider}
isDefault={defaultText?.provider_id === provider.id}
isLastProvider={sortedProviders.length === 1}
defaultModelName={
defaultText?.provider_id === provider.id
? defaultText.model_name
: undefined
}
/>
))}
</div>
@@ -435,13 +507,23 @@ export default function LLMConfigurationPage() {
(bIndex === -1 ? Infinity : bIndex)
);
})
.map((provider) => (
<NewProviderCard
key={provider.name}
provider={provider}
isFirstProvider={isFirstProvider}
/>
))}
.map((provider) => {
const formFn = PROVIDER_MODAL_MAP[provider.name];
if (!formFn) {
toast.error(
`No modal mapping for provider "${provider.name}".`
);
return null;
}
return (
<NewProviderCard
key={provider.name}
provider={provider}
isFirstProvider={isFirstProvider}
formFn={formFn}
/>
);
})}
<NewCustomProviderCard isFirstProvider={isFirstProvider} />
</div>
</GeneralLayouts.Section>

View File

@@ -352,7 +352,6 @@ const ChatScrollContainer = React.memo(
key={sessionId}
ref={scrollContainerRef}
data-testid="chat-scroll-container"
data-chat-scroll
className={cn(
"flex flex-col flex-1 min-h-0 overflow-y-auto overflow-x-hidden",
hideScrollbar ? "no-scrollbar" : "default-scrollbar"

View File

@@ -1,6 +1,6 @@
"use client";
import { useMemo } from "react";
import { useEffect, useMemo, useRef, useState } from "react";
import { useSWRConfig } from "swr";
import { useFormikContext } from "formik";
import {
@@ -29,8 +29,9 @@ import InputComboBox from "@/refresh-components/inputs/InputComboBox";
import InputTypeIn from "@/refresh-components/inputs/InputTypeIn";
import InputSelect from "@/refresh-components/inputs/InputSelect";
import Text from "@/refresh-components/texts/Text";
import SimpleLoader from "@/refresh-components/loaders/SimpleLoader";
import { Button, Card, EmptyMessageCard } from "@opal/components";
import { SvgMinusCircle, SvgPlusCircle } from "@opal/icons";
import { SvgMinusCircle, SvgPlusCircle, SvgRefreshCw } from "@opal/icons";
import { markdown } from "@opal/utils";
import { toast } from "@/hooks/useToast";
import { refreshLlmProviderCaches } from "@/lib/llmConfig/cache";
@@ -110,6 +111,95 @@ function ModelConfigurationItem({
);
}
interface FetchedModel {
name: string;
display_name: string;
max_input_tokens: number | null;
supports_image_input: boolean;
}
function FetchModelsButton({ provider }: { provider: string }) {
const abortRef = useRef<AbortController | null>(null);
const [isFetching, setIsFetching] = useState(false);
const formikProps = useFormikContext<{
api_base?: string;
api_key?: string;
api_version?: string;
model_configurations: CustomModelConfiguration[];
}>();
useEffect(() => {
return () => abortRef.current?.abort();
}, []);
async function handleFetch() {
abortRef.current?.abort();
const controller = new AbortController();
abortRef.current = controller;
setIsFetching(true);
try {
const response = await fetch("/api/admin/llm/custom/available-models", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
provider,
api_base: formikProps.values.api_base || undefined,
api_key: formikProps.values.api_key || undefined,
api_version: formikProps.values.api_version || undefined,
}),
signal: controller.signal,
});
if (!response.ok) {
let errorMessage = "Failed to fetch models";
try {
const errorData = await response.json();
errorMessage = errorData.detail || errorMessage;
} catch {
// ignore JSON parsing errors
}
throw new Error(errorMessage);
}
const fetched: FetchedModel[] = await response.json();
const existing = formikProps.values.model_configurations;
const existingNames = new Set(existing.map((m) => m.name));
const newModels: CustomModelConfiguration[] = fetched
.filter((m) => !existingNames.has(m.name))
.map((m) => ({
name: m.name,
display_name: m.display_name !== m.name ? m.display_name : "",
max_input_tokens: m.max_input_tokens,
supports_image_input: m.supports_image_input,
}));
// Replace empty placeholder rows, then merge
const nonEmpty = existing.filter((m) => m.name.trim() !== "");
formikProps.setFieldValue("model_configurations", [
...nonEmpty,
...newModels,
]);
toast.success(`Fetched ${fetched.length} models`);
} catch (err) {
if (err instanceof DOMException && err.name === "AbortError") return;
toast.error(
err instanceof Error ? err.message : "Failed to fetch models"
);
} finally {
if (!controller.signal.aborted) {
setIsFetching(false);
}
}
}
return (
<Button
prominence="tertiary"
icon={isFetching ? SimpleLoader : SvgRefreshCw}
onClick={handleFetch}
disabled={isFetching || !provider}
type="button"
/>
);
}
function ModelConfigurationList() {
const formikProps = useFormikContext<{
model_configurations: CustomModelConfiguration[];
@@ -222,6 +312,24 @@ function ProviderNameSelect({ disabled }: { disabled?: boolean }) {
);
}
function ModelsHeader() {
const { values } = useFormikContext<{ provider: string }>();
return (
<InputLayouts.Horizontal
title="Models"
description="List LLM models you wish to use and their configurations for this provider. See full list of models at LiteLLM."
nonInteractive
center
>
{values.provider ? (
<FetchModelsButton provider={values.provider} />
) : (
<div />
)}
</InputLayouts.Horizontal>
);
}
// ─── Custom Config Processing ─────────────────────────────────────────────────
function keyValueListToDict(items: KeyValue[]): Record<string, string> {
@@ -424,13 +532,7 @@ export default function CustomModal({
<InputLayouts.FieldSeparator />
<Section gap={0.5}>
<InputLayouts.FieldPadder>
<Content
title="Models"
description="List LLM models you wish to use and their configurations for this provider. See full list of models at LiteLLM."
variant="section"
sizePreset="main-content"
widthVariant="full"
/>
<ModelsHeader />
</InputLayouts.FieldPadder>
<Card padding="sm">

View File

@@ -0,0 +1,75 @@
import { LLMProviderName, LLMProviderView } from "@/interfaces/llm";
import AnthropicModal from "@/sections/modals/llmConfig/AnthropicModal";
import OpenAIModal from "@/sections/modals/llmConfig/OpenAIModal";
import OllamaModal from "@/sections/modals/llmConfig/OllamaModal";
import AzureModal from "@/sections/modals/llmConfig/AzureModal";
import VertexAIModal from "@/sections/modals/llmConfig/VertexAIModal";
import OpenRouterModal from "@/sections/modals/llmConfig/OpenRouterModal";
import CustomModal from "@/sections/modals/llmConfig/CustomModal";
import BedrockModal from "@/sections/modals/llmConfig/BedrockModal";
import LMStudioModal from "@/sections/modals/llmConfig/LMStudioModal";
import LiteLLMProxyModal from "@/sections/modals/llmConfig/LiteLLMProxyModal";
import BifrostModal from "@/sections/modals/llmConfig/BifrostModal";
import OpenAICompatibleModal from "@/sections/modals/llmConfig/OpenAICompatibleModal";
export function getModalForExistingProvider(
provider: LLMProviderView,
onOpenChange?: (open: boolean) => void,
defaultModelName?: string
) {
const props = {
existingLlmProvider: provider,
onOpenChange,
defaultModelName,
};
const hasCustomConfig = provider.custom_config != null;
switch (provider.provider) {
// These providers don't use custom_config themselves, so a non-null
// custom_config means the provider was created via CustomModal.
case LLMProviderName.OPENAI:
return hasCustomConfig ? (
<CustomModal {...props} />
) : (
<OpenAIModal {...props} />
);
case LLMProviderName.ANTHROPIC:
return hasCustomConfig ? (
<CustomModal {...props} />
) : (
<AnthropicModal {...props} />
);
case LLMProviderName.AZURE:
return hasCustomConfig ? (
<CustomModal {...props} />
) : (
<AzureModal {...props} />
);
case LLMProviderName.OPENROUTER:
return hasCustomConfig ? (
<CustomModal {...props} />
) : (
<OpenRouterModal {...props} />
);
// These providers legitimately store settings in custom_config,
// so always use their dedicated modals.
case LLMProviderName.OLLAMA_CHAT:
return <OllamaModal {...props} />;
case LLMProviderName.VERTEX_AI:
return <VertexAIModal {...props} />;
case LLMProviderName.BEDROCK:
return <BedrockModal {...props} />;
case LLMProviderName.LM_STUDIO:
return <LMStudioModal {...props} />;
case LLMProviderName.LITELLM_PROXY:
return <LiteLLMProxyModal {...props} />;
case LLMProviderName.BIFROST:
return <BifrostModal {...props} />;
case LLMProviderName.OPENAI_COMPATIBLE:
return <OpenAICompatibleModal {...props} />;
default:
return <CustomModal {...props} />;
}
}

View File

@@ -44,7 +44,11 @@ import useUsers from "@/hooks/useUsers";
import { toast } from "@/hooks/useToast";
import { UserRole } from "@/lib/types";
import Modal from "@/refresh-components/Modal";
import { getProvider } from "@/lib/llmConfig";
import {
getProviderIcon,
getProviderDisplayName,
getProviderProductName,
} from "@/lib/llmConfig/providers";
// ─── DisplayNameField ────────────────────────────────────────────────────────
@@ -713,11 +717,9 @@ function ModalWrapperInner({
? "No changes to save."
: undefined;
const {
icon: providerIcon,
companyName: providerDisplayName,
productName: providerProductName,
} = getProvider(providerName);
const providerIcon = getProviderIcon(providerName);
const providerDisplayName = getProviderDisplayName(providerName);
const providerProductName = getProviderProductName(providerName);
const title = llmProvider
? `Configure "${llmProvider.name}"`

View File

@@ -0,0 +1,145 @@
import React from "react";
import {
WellKnownLLMProviderDescriptor,
LLMProviderName,
LLMProviderFormProps,
} from "@/interfaces/llm";
import { OnboardingActions, OnboardingState } from "@/interfaces/onboarding";
import OpenAIModal from "@/sections/modals/llmConfig/OpenAIModal";
import AnthropicModal from "@/sections/modals/llmConfig/AnthropicModal";
import OllamaModal from "@/sections/modals/llmConfig/OllamaModal";
import AzureModal from "@/sections/modals/llmConfig/AzureModal";
import BedrockModal from "@/sections/modals/llmConfig/BedrockModal";
import VertexAIModal from "@/sections/modals/llmConfig/VertexAIModal";
import OpenRouterModal from "@/sections/modals/llmConfig/OpenRouterModal";
import CustomModal from "@/sections/modals/llmConfig/CustomModal";
import LMStudioModal from "@/sections/modals/llmConfig/LMStudioModal";
import LiteLLMProxyModal from "@/sections/modals/llmConfig/LiteLLMProxyModal";
import OpenAICompatibleModal from "@/sections/modals/llmConfig/OpenAICompatibleModal";
// Display info for LLM provider cards - title is the product name, displayName is the company/platform
const PROVIDER_DISPLAY_INFO: Record<
string,
{ title: string; displayName: string }
> = {
[LLMProviderName.OPENAI]: { title: "GPT", displayName: "OpenAI" },
[LLMProviderName.ANTHROPIC]: { title: "Claude", displayName: "Anthropic" },
[LLMProviderName.OLLAMA_CHAT]: { title: "Ollama", displayName: "Ollama" },
[LLMProviderName.AZURE]: {
title: "Azure OpenAI",
displayName: "Microsoft Azure Cloud",
},
[LLMProviderName.BEDROCK]: {
title: "Amazon Bedrock",
displayName: "AWS",
},
[LLMProviderName.VERTEX_AI]: {
title: "Gemini",
displayName: "Google Cloud Vertex AI",
},
[LLMProviderName.OPENROUTER]: {
title: "OpenRouter",
displayName: "OpenRouter",
},
[LLMProviderName.LM_STUDIO]: {
title: "LM Studio",
displayName: "LM Studio",
},
[LLMProviderName.LITELLM_PROXY]: {
title: "LiteLLM Proxy",
displayName: "LiteLLM Proxy",
},
[LLMProviderName.OPENAI_COMPATIBLE]: {
title: "OpenAI-Compatible",
displayName: "OpenAI-Compatible",
},
};
export function getProviderDisplayInfo(providerName: string): {
title: string;
displayName: string;
} {
return (
PROVIDER_DISPLAY_INFO[providerName] ?? {
title: providerName,
displayName: providerName,
}
);
}
export interface OnboardingFormProps {
llmDescriptor?: WellKnownLLMProviderDescriptor;
isCustomProvider?: boolean;
onboardingState: OnboardingState;
onboardingActions: OnboardingActions;
onOpenChange: (open: boolean) => void;
}
export function getOnboardingForm({
llmDescriptor,
isCustomProvider,
onboardingState,
onboardingActions,
onOpenChange,
}: OnboardingFormProps): React.ReactNode {
const providerName = isCustomProvider
? "custom"
: llmDescriptor?.name ?? "custom";
const sharedProps: LLMProviderFormProps = {
variant: "onboarding" as const,
shouldMarkAsDefault:
(onboardingState?.data.llmProviders ?? []).length === 0,
onboardingActions,
onOpenChange,
onSuccess: () => {
onboardingActions.updateData({
llmProviders: [
...(onboardingState?.data.llmProviders ?? []),
providerName,
],
});
onboardingActions.setButtonActive(true);
},
};
// Handle custom provider
if (isCustomProvider || !llmDescriptor) {
return <CustomModal {...sharedProps} />;
}
switch (llmDescriptor.name) {
case LLMProviderName.OPENAI:
return <OpenAIModal {...sharedProps} />;
case LLMProviderName.ANTHROPIC:
return <AnthropicModal {...sharedProps} />;
case LLMProviderName.OLLAMA_CHAT:
return <OllamaModal {...sharedProps} />;
case LLMProviderName.AZURE:
return <AzureModal {...sharedProps} />;
case LLMProviderName.BEDROCK:
return <BedrockModal {...sharedProps} />;
case LLMProviderName.VERTEX_AI:
return <VertexAIModal {...sharedProps} />;
case LLMProviderName.OPENROUTER:
return <OpenRouterModal {...sharedProps} />;
case LLMProviderName.LM_STUDIO:
return <LMStudioModal {...sharedProps} />;
case LLMProviderName.LITELLM_PROXY:
return <LiteLLMProxyModal {...sharedProps} />;
case LLMProviderName.OPENAI_COMPATIBLE:
return <OpenAICompatibleModal {...sharedProps} />;
default:
return <CustomModal {...sharedProps} />;
}
}

View File

@@ -4,29 +4,35 @@ import { memo, useState, useCallback } from "react";
import Text from "@/refresh-components/texts/Text";
import { Button } from "@opal/components";
import Separator from "@/refresh-components/Separator";
import LLMProviderCard from "@/sections/onboarding/components/LLMProviderCard";
import LLMProviderCard from "../components/LLMProviderCard";
import {
OnboardingActions,
OnboardingState,
OnboardingStep,
} from "@/interfaces/onboarding";
import { WellKnownLLMProviderDescriptor } from "@/interfaces/llm";
import {
LLMProviderFormProps,
WellKnownLLMProviderDescriptor,
} from "@/interfaces/llm";
import { getProvider } from "@/lib/llmConfig";
getOnboardingForm,
getProviderDisplayInfo,
} from "../forms/getOnboardingForm";
import { Disabled } from "@opal/core";
import ModelIcon from "@/app/admin/configuration/llm/ModelIcon";
import { SvgCheckCircle, SvgCpu, SvgExternalLink } from "@opal/icons";
import { ContentAction } from "@opal/layouts";
import { useLLMProviderOptions } from "@/lib/hooks/useLLMProviderOptions";
type LLMStepProps = {
state: OnboardingState;
actions: OnboardingActions;
disabled?: boolean;
};
interface SelectedProvider {
llmDescriptor?: WellKnownLLMProviderDescriptor;
isCustomProvider: boolean;
}
function LLMProviderSkeleton() {
const LLMProviderSkeleton = () => {
return (
<div className="flex justify-between h-full w-full p-1 rounded-12 border border-border-01 bg-background-neutral-01 animate-pulse">
<div className="flex gap-1 p-1 flex-1 min-w-0">
@@ -41,11 +47,12 @@ function LLMProviderSkeleton() {
<div className="h-6 w-16 bg-neutral-200 rounded" />
</div>
);
}
};
interface StackedProviderIconsProps {
type StackedProviderIconsProps = {
providers: string[];
}
};
const StackedProviderIcons = ({ providers }: StackedProviderIconsProps) => {
if (!providers || providers.length === 0) {
return null;
@@ -82,157 +89,133 @@ const StackedProviderIcons = ({ providers }: StackedProviderIconsProps) => {
);
};
interface LLMStepProps {
state: OnboardingState;
actions: OnboardingActions;
disabled?: boolean;
}
const LLMStep = memo(
({
state: onboardingState,
actions: onboardingActions,
disabled,
}: LLMStepProps) => {
const { llmProviderOptions, isLoading } = useLLMProviderOptions();
const llmDescriptors = llmProviderOptions ?? [];
const LLMStepInner = ({
state: onboardingState,
actions: onboardingActions,
disabled,
}: LLMStepProps) => {
const { llmProviderOptions, isLoading } = useLLMProviderOptions();
const llmDescriptors = llmProviderOptions ?? [];
const [selectedProvider, setSelectedProvider] =
useState<SelectedProvider | null>(null);
const [isModalOpen, setIsModalOpen] = useState(false);
const [selectedProvider, setSelectedProvider] =
useState<SelectedProvider | null>(null);
const [isModalOpen, setIsModalOpen] = useState(false);
const handleProviderClick = useCallback(
(
llmDescriptor?: WellKnownLLMProviderDescriptor,
isCustomProvider: boolean = false
) => {
setSelectedProvider({ llmDescriptor, isCustomProvider });
setIsModalOpen(true);
},
[]
);
const handleProviderClick = useCallback(
(
llmDescriptor?: WellKnownLLMProviderDescriptor,
isCustomProvider: boolean = false
) => {
setSelectedProvider({ llmDescriptor, isCustomProvider });
setIsModalOpen(true);
},
[]
);
const handleModalClose = useCallback((open: boolean) => {
setIsModalOpen(open);
if (!open) {
setSelectedProvider(null);
}
}, []);
const handleModalClose = useCallback((open: boolean) => {
setIsModalOpen(open);
if (!open) {
setSelectedProvider(null);
}
}, []);
if (
onboardingState.currentStep === OnboardingStep.LlmSetup ||
onboardingState.currentStep === OnboardingStep.Name
) {
const providerName = selectedProvider?.isCustomProvider
? "custom"
: selectedProvider?.llmDescriptor?.name ?? "custom";
const { Modal: ModalComponent } = getProvider(providerName);
const modalProps: LLMProviderFormProps = {
variant: "onboarding" as const,
shouldMarkAsDefault:
(onboardingState?.data.llmProviders ?? []).length === 0,
onboardingActions,
onOpenChange: handleModalClose,
onSuccess: () => {
onboardingActions.updateData({
llmProviders: [
...(onboardingState?.data.llmProviders ?? []),
providerName,
],
});
onboardingActions.setButtonActive(true);
},
};
return (
<Disabled disabled={disabled} allowClick>
<div
className="flex flex-col items-center justify-between w-full p-1 rounded-16 border border-border-01 bg-background-tint-00"
aria-label="onboarding-llm-step"
>
<ContentAction
icon={SvgCpu}
title="Connect your LLM models"
description="Onyx supports both self-hosted models and popular providers."
sizePreset="main-ui"
variant="section"
paddingVariant="lg"
rightChildren={
<Button
disabled={disabled}
prominence="tertiary"
rightIcon={SvgExternalLink}
href="/admin/configuration/llm"
if (
onboardingState.currentStep === OnboardingStep.LlmSetup ||
onboardingState.currentStep === OnboardingStep.Name
) {
return (
<Disabled disabled={disabled} allowClick>
<div
className="flex flex-col items-center justify-between w-full p-1 rounded-16 border border-border-01 bg-background-tint-00"
aria-label="onboarding-llm-step"
>
<ContentAction
icon={SvgCpu}
title="Connect your LLM models"
description="Onyx supports both self-hosted models and popular providers."
sizePreset="main-ui"
variant="section"
paddingVariant="lg"
rightChildren={
<Button
disabled={disabled}
prominence="tertiary"
rightIcon={SvgExternalLink}
href="/admin/configuration/llm"
>
View in Admin Panel
</Button>
}
/>
<Separator />
<div className="flex flex-wrap gap-1 [&>*:last-child:nth-child(odd)]:basis-full">
{isLoading ? (
Array.from({ length: 8 }).map((_, idx) => (
<div
key={idx}
className="basis-[calc(50%-theme(spacing.1)/2)] grow"
>
View in Admin Panel
</Button>
}
/>
<Separator />
<div className="flex flex-wrap gap-1 [&>*:last-child:nth-child(odd)]:basis-full">
{isLoading ? (
Array.from({ length: 8 }).map((_, idx) => (
<div
key={idx}
className="basis-[calc(50%-theme(spacing.1)/2)] grow"
>
<LLMProviderSkeleton />
</div>
))
) : (
<>
{/* Render the selected provider form */}
{selectedProvider && isModalOpen && (
<ModalComponent {...modalProps} />
)}
{/* Render provider cards */}
{llmDescriptors.map((llmDescriptor) => {
const { productName, companyName } = getProvider(
llmDescriptor.name
);
return (
<div
key={llmDescriptor.name}
className="basis-[calc(50%-theme(spacing.1)/2)] grow"
>
<LLMProviderCard
title={productName}
subtitle={companyName}
providerName={llmDescriptor.name}
disabled={disabled}
isConnected={onboardingState.data.llmProviders?.some(
(provider) => provider === llmDescriptor.name
)}
onClick={() =>
handleProviderClick(llmDescriptor, false)
}
/>
</div>
);
<LLMProviderSkeleton />
</div>
))
) : (
<>
{/* Render the selected provider form */}
{selectedProvider &&
isModalOpen &&
getOnboardingForm({
llmDescriptor: selectedProvider.llmDescriptor,
isCustomProvider: selectedProvider.isCustomProvider,
onboardingState,
onboardingActions,
onOpenChange: handleModalClose,
})}
{/* Custom provider card */}
<div className="basis-[calc(50%-theme(spacing.1)/2)] grow">
<LLMProviderCard
title="Custom LLM Provider"
subtitle="LiteLLM Compatible APIs"
disabled={disabled}
isConnected={onboardingState.data.llmProviders?.some(
(provider) => provider === "custom"
)}
onClick={() => handleProviderClick(undefined, true)}
/>
</div>
</>
)}
</div>
</div>
</Disabled>
);
}
{/* Render provider cards */}
{llmDescriptors.map((llmDescriptor) => {
const displayInfo = getProviderDisplayInfo(
llmDescriptor.name
);
return (
<div
key={llmDescriptor.name}
className="basis-[calc(50%-theme(spacing.1)/2)] grow"
>
<LLMProviderCard
title={displayInfo.title}
subtitle={displayInfo.displayName}
providerName={llmDescriptor.name}
disabled={disabled}
isConnected={onboardingState.data.llmProviders?.some(
(provider) => provider === llmDescriptor.name
)}
onClick={() =>
handleProviderClick(llmDescriptor, false)
}
/>
</div>
);
})}
{/* Custom provider card */}
<div className="basis-[calc(50%-theme(spacing.1)/2)] grow">
<LLMProviderCard
title="Custom LLM Provider"
subtitle="LiteLLM Compatible APIs"
disabled={disabled}
isConnected={onboardingState.data.llmProviders?.some(
(provider) => provider === "custom"
)}
onClick={() => handleProviderClick(undefined, true)}
/>
</div>
</>
)}
</div>
</div>
</Disabled>
);
} else {
return (
<button
type="button"
@@ -261,7 +244,7 @@ const LLMStep = memo(
</button>
);
}
);
LLMStep.displayName = "LLMStep";
};
const LLMStep = memo(LLMStepInner);
export default LLMStep;