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langflow-ai
[a58 bug] Chat Input stopped working with Azure OpenAI model/embedding component
Describe the bug When a chat input component is connected to Azure Open AI embedding/model, we currently get the below error with a58 version,
Error building vertex Azure OpenAI: 2 validation errors for HumanMessage content str type expected (type=type_error.str) content value is not a valid list (type=type_error.list)
Browser and Version All
To Reproduce Steps to reproduce the behavior:
- Create a very basic flow with Chat Input -> Azure Open AI Embedding -> Chat Output
- Run each component and you'll end up with this error. Console will show error as below:
ValueError: Error building vertex Azure OpenAI: 2 validation errors for HumanMessage
content
str type expected (type=type_error.str)
content
value is not a valid list (type=type_error.list)
Screenshots
Additional context This used to work somewhere with <= a48 version.
The error you're encountering occurs because the input_value parameter in the build method of the AzureChatOpenAISpecsComponent class is expected to be a string, but it is being provided as a list. To resolve this issue, ensure that the input_value parameter is passed as a string when using the Chat Input component with the Azure OpenAI embedding/model [1][2][3][4][5].
To continue talking to Dosu, mention @dosu.
![dosubot[bot] avatar](https://avatars.githubusercontent.com/in/324583?v=4 "Published by a pub.dev verified publisher"){kind=small}
@dosu How is this fix implemented in the code of the Chat Input ? I have tried changing the code but it doesnt work. Please provide an example based on the issue that was described before.
Yes, this is still a problem even with v1.0.6.
Expand/Collapse
```
python -m langflow run --env-file ~/langflow/.env
Starting Langflow v1.0.6...
╭───────────────────────────────────────────────────────────────────╮
│ Welcome to ⛓ Langflow │
│ │
│ │
│ Collaborate, and contribute at our GitHub Repo 🌟 │
│ │
│ We collect anonymous usage data to improve Langflow. │
│ You can opt-out by setting DO_NOT_TRACK=true in your environment. │
│ │
│ Access http://127.0.0.1:7860 │
╰───────────────────────────────────────────────────────────────────╯
[07/08/24 09:32:29] ERROR 2024-07-08 09:32:29 - ERROR - base - Could not connect to AzureOpenAIEmbeddings API.Traceback (most recent call last): base.py:627
File "<string>", line 67, in build_embeddings
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/pydantic/v1/main.py", line 341, in __init__
raise validation_error
-> ValidationError(model='AzureOpenAIEmbeddings', errors=[{'loc': ('dimensions',), 'msg': 'value is not a valid integer', 'type'...
pydantic.v1.error_wrappers.ValidationError: 1 validation error for AzureOpenAIEmbeddings
dimensions
value is not a valid integer (type=type_error.integer)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/madhavansridharan/.pyenv/versions/3.10.14/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
| | -> {'__name__': '__main__', '__doc__': None, '__package__': 'langflow', '__loader__': <_frozen_importlib_external.SourceFileLoad...
| -> <code object <module> at 0x1016dbc00, file "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/la...
-> <function _run_code at 0x1016e1f30>
File "/Users/madhavansridharan/.pyenv/versions/3.10.14/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
| -> {'__name__': '__main__', '__doc__': None, '__package__': 'langflow', '__loader__': <_frozen_importlib_external.SourceFileLoad...
-> <code object <module> at 0x1016dbc00, file "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/la...
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/__main__.py", line 607, in <module>
main()
-> <function main at 0x11cd94e50>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/__main__.py", line 603, in main
app()
-> <typer.main.Typer object at 0x1031b8df0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/typer/main.py", line 309, in __call__
return get_command(self)(*args, **kwargs)
| | | -> {}
| | -> ()
| -> <typer.main.Typer object at 0x1031b8df0>
-> <function get_command at 0x10303a170>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
return self.main(*args, **kwargs)
| | | -> {}
| | -> ()
| -> <function TyperGroup.main at 0x1030388b0>
-> <TyperGroup >
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/typer/core.py", line 723, in main
return _main(
-> <function _main at 0x103033be0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/typer/core.py", line 193, in _main
rv = self.invoke(ctx)
| | -> <click.core.Context object at 0x11cdb9450>
| -> <function MultiCommand.invoke at 0x101b2eb90>
-> <TyperGroup >
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
| | | | -> <click.core.Context object at 0x11cdb9d20>
| | | -> <function Command.invoke at 0x101b2e680>
| | -> <TyperCommand run>
| -> <click.core.Context object at 0x11cdb9d20>
-> <function MultiCommand.invoke.<locals>._process_result at 0x11cd952d0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
return ctx.invoke(self.callback, **ctx.params)
| | | | | -> {'env_file': '/Users/madhavansridharan/langflow/.env', 'host': '127.0.0.1', 'workers': 1, 'timeout': 300, 'port': 7860,
'comp...
| | | | -> <click.core.Context object at 0x11cdb9d20>
| | | -> <function run at 0x11cd95000>
| | -> <TyperCommand run>
| -> <function Context.invoke at 0x101b2d3f0>
-> <click.core.Context object at 0x11cdb9d20>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/click/core.py", line 783, in invoke
return __callback(*args, **kwargs)
| -> {'env_file': '/Users/madhavansridharan/langflow/.env', 'host': '127.0.0.1', 'workers': 1, 'timeout': 300, 'port': 7860, 'comp...
-> ()
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/typer/main.py", line 692, in wrapper
return callback(**use_params)
| -> {'host': '127.0.0.1', 'workers': 1, 'timeout': 300, 'port': 7860, 'components_path': PosixPath('/Users/madhavansridharan/.pye...
-> <function run at 0x11cd94670>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/__main__.py", line 192, in run
process = run_on_mac_or_linux(host, port, log_level, options, app)
| | | | | -> <fastapi.applications.FastAPI object at 0x11cdba170>
| | | | -> {'bind': '127.0.0.1:7860', 'workers': 1, 'timeout': 300, 'worker_class':
'langflow.server.LangflowUvicornWorker', 'logger_cla...
| | | -> 'critical'
| | -> 7860
| -> '127.0.0.1'
-> <function run_on_mac_or_linux at 0x11cd944c0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/__main__.py", line 215, in run_on_mac_or_linux
webapp_process.start()
| -> <function BaseProcess.start at 0x10305e050>
-> <Process name='Process-1' parent=47191 started>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/multiprocess/process.py", line 121, in start
self._popen = self._Popen(self)
| | | | -> <Process name='Process-1' parent=47191 started>
| | | -> <staticmethod(<function Process._Popen at 0x10319f880>)>
| | -> <Process name='Process-1' parent=47191 started>
| -> None
-> <Process name='Process-1' parent=47191 started>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/multiprocess/context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
| | -> <Process name='Process-1' parent=47191 started>
| -> <function DefaultContext.get_context at 0x10319fa30>
-> <multiprocess.context.DefaultContext object at 0x102dde020>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/multiprocess/context.py", line 281, in _Popen
return Popen(process_obj)
| -> <Process name='Process-1' parent=47191 started>
-> <class 'multiprocess.popen_fork.Popen'>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/multiprocess/popen_fork.py", line 19, in __init__
self._launch(process_obj)
| | -> <Process name='Process-1' parent=47191 started>
| -> <function Popen._launch at 0x11cf8ec20>
-> <multiprocess.popen_fork.Popen object at 0x11cfd8e80>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/multiprocess/popen_fork.py", line 71, in _launch
code = process_obj._bootstrap(parent_sentinel=child_r)
| | -> 6
| -> <function BaseProcess._bootstrap at 0x10305e950>
-> <Process name='Process-1' parent=47191 started>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/multiprocess/process.py", line 314, in _bootstrap
self.run()
| -> <function BaseProcess.run at 0x10305dfc0>
-> <Process name='Process-1' parent=47191 started>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/multiprocess/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
| | | | | -> {}
| | | | -> <Process name='Process-1' parent=47191 started>
| | | -> ('127.0.0.1', 7860, 'critical', {'bind': '127.0.0.1:7860', 'workers': 1, 'timeout': 300, 'worker_class': 'langflow.server.Lan...
| | -> <Process name='Process-1' parent=47191 started>
| -> <function run_langflow at 0x11cd94af0>
-> <Process name='Process-1' parent=47191 started>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/__main__.py", line 437, in run_langflow
LangflowApplication(app, options).run()
| | -> {'bind': '127.0.0.1:7860', 'workers': 1, 'timeout': 300, 'worker_class': 'langflow.server.LangflowUvicornWorker', 'logger_cla...
| -> <fastapi.applications.FastAPI object at 0x11cdba170>
-> <class 'langflow.server.LangflowApplication'>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/gunicorn/app/base.py", line 72, in run
Arbiter(self).run()
| -> <langflow.server.LangflowApplication object at 0x103074370>
-> <class 'gunicorn.arbiter.Arbiter'>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/gunicorn/arbiter.py", line 202, in run
self.manage_workers()
| -> <function Arbiter.manage_workers at 0x11d049d80>
-> <gunicorn.arbiter.Arbiter object at 0x11cfd9690>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/gunicorn/arbiter.py", line 571, in manage_workers
self.spawn_workers()
| -> <function Arbiter.spawn_workers at 0x11d049ea0>
-> <gunicorn.arbiter.Arbiter object at 0x11cfd9690>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/gunicorn/arbiter.py", line 642, in spawn_workers
self.spawn_worker()
| -> <function Arbiter.spawn_worker at 0x11d049e10>
-> <gunicorn.arbiter.Arbiter object at 0x11cfd9690>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/gunicorn/arbiter.py", line 609, in spawn_worker
worker.init_process()
| -> <function UvicornWorker.init_process at 0x11d2f4940>
-> <langflow.server.LangflowUvicornWorker object at 0x11d0d1b40>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/uvicorn/workers.py", line 75, in init_process
super().init_process()
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/gunicorn/workers/base.py", line 142, in init_process
self.run()
| -> <function UvicornWorker.run at 0x11d2f4b80>
-> <langflow.server.LangflowUvicornWorker object at 0x11d0d1b40>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/uvicorn/workers.py", line 107, in run
return asyncio.run(self._serve())
| | | -> <function LangflowUvicornWorker._serve at 0x11d2f4ca0>
| | -> <langflow.server.LangflowUvicornWorker object at 0x11d0d1b40>
| -> <function _patch_asyncio.<locals>.run at 0x11d2f5090>
-> <module 'asyncio' from '/Users/madhavansridharan/.pyenv/versions/3.10.14/lib/python3.10/asyncio/__init__.py'>
File "/Users/madhavansridharan/.pyenv/versions/3.10.14/lib/python3.10/asyncio/runners.py", line 44, in run
return loop.run_until_complete(main)
| | -> <coroutine object LangflowUvicornWorker._serve at 0x11d0c1c40>
| -> <function _patch_loop.<locals>.run_until_complete at 0x11d3a3be0>
-> <_UnixSelectorEventLoop running=True closed=False debug=False>
File "/Users/madhavansridharan/.pyenv/versions/3.10.14/lib/python3.10/asyncio/base_events.py", line 636, in run_until_complete
self.run_forever()
| -> <function _patch_loop.<locals>.run_forever at 0x11d3a3b50>
-> <_UnixSelectorEventLoop running=True closed=False debug=False>
File "/Users/madhavansridharan/.pyenv/versions/3.10.14/lib/python3.10/asyncio/base_events.py", line 603, in run_forever
self._run_once()
| -> <function _patch_loop.<locals>._run_once at 0x11d3a3c70>
-> <_UnixSelectorEventLoop running=True closed=False debug=False>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/nest_asyncio.py", line 133, in _run_once
handle._run()
| -> <function Handle._run at 0x1032b71c0>
-> <Handle Task.__wakeup(<Future finis... 0x121005a20>>)>
File "/Users/madhavansridharan/.pyenv/versions/3.10.14/lib/python3.10/asyncio/events.py", line 80, in _run
self._context.run(self._callback, *self._args)
| | | | | -> <member '_args' of 'Handle' objects>
| | | | -> <Handle Task.__wakeup(<Future finis... 0x121005a20>>)>
| | | -> <member '_callback' of 'Handle' objects>
| | -> <Handle Task.__wakeup(<Future finis... 0x121005a20>>)>
| -> <member '_context' of 'Handle' objects>
-> <Handle Task.__wakeup(<Future finis... 0x121005a20>>)>
File "/Users/madhavansridharan/.pyenv/versions/3.10.14/lib/python3.10/asyncio/tasks.py", line 315, in __wakeup
self.__step()
-> <Task pending name='starlette.middleware.base.BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.coro' coro=<BaseHTTPMid...
File "/Users/madhavansridharan/.pyenv/versions/3.10.14/lib/python3.10/asyncio/tasks.py", line 232, in __step
result = coro.send(None)
| -> <method 'send' of 'coroutine' objects>
-> <coroutine object BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.coro at 0x12c2dde00>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/starlette/middleware/base.py", line 151, in coro
await self.app(scope, receive_or_disconnect, send_no_error)
| | | | -> <function BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.send_no_error at 0x12c10ff40>
| | | -> <function BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.receive_or_disconnect at 0x12c10f1c0>
| | -> {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('127.0.0.1', 7860), 'cl...
| -> <starlette.middleware.cors.CORSMiddleware object at 0x11d37ee90>
-> <langflow.main.JavaScriptMIMETypeMiddleware object at 0x11d37ece0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/starlette/middleware/cors.py", line 93, in __call__
await self.simple_response(scope, receive, send, request_headers=headers)
| | | | | -> Headers({'host': '127.0.0.1:7860', 'connection': 'keep-alive', 'content-length': '2', 'sec-ch-ua':
'"Google Chrome";v="125", ...
| | | | -> <function BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.send_no_error at 0x12c10ff40>
| | | -> <function BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.receive_or_disconnect at 0x12c10f1c0>
| | -> {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('127.0.0.1', 7860), 'cl...
| -> <function CORSMiddleware.simple_response at 0x104a1a290>
-> <starlette.middleware.cors.CORSMiddleware object at 0x11d37ee90>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/starlette/middleware/cors.py", line 148, in simple_response
await self.app(scope, receive, send)
| | | | -> functools.partial(<bound method CORSMiddleware.send of <starlette.middleware.cors.CORSMiddleware object at 0x11d37ee90>>, sen...
| | | -> <function BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.receive_or_disconnect at 0x12c10f1c0>
| | -> {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('127.0.0.1', 7860), 'cl...
| -> <starlette.middleware.exceptions.ExceptionMiddleware object at 0x11d37eec0>
-> <starlette.middleware.cors.CORSMiddleware object at 0x11d37ee90>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/starlette/middleware/exceptions.py", line 65, in __call__
await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
| | | | | | -> functools.partial(<bound method CORSMiddleware.send of <starlette.middleware.cors.CORSMiddleware
object at 0x11d37ee90>>, sen...
| | | | | -> <function BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.receive_or_disconnect at 0x12c10f1c0>
| | | | -> {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('127.0.0.1',
7860), 'cl...
| | | -> <starlette.requests.Request object at 0x12bc80580>
| | -> <fastapi.routing.APIRouter object at 0x11cdb82e0>
| -> <starlette.middleware.exceptions.ExceptionMiddleware object at 0x11d37eec0>
-> <function wrap_app_handling_exceptions at 0x1049afac0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
await app(scope, receive, sender)
| | | -> <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x12c1c03a0>
| | -> <function BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.receive_or_disconnect at 0x12c10f1c0>
| -> {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('127.0.0.1', 7860), 'cl...
-> <fastapi.routing.APIRouter object at 0x11cdb82e0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/starlette/routing.py", line 756, in __call__
await self.middleware_stack(scope, receive, send)
| | | | -> <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x12c1c03a0>
| | | -> <function BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.receive_or_disconnect at 0x12c10f1c0>
| | -> {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('127.0.0.1', 7860), 'cl...
| -> <bound method Router.app of <fastapi.routing.APIRouter object at 0x11cdb82e0>>
-> <fastapi.routing.APIRouter object at 0x11cdb82e0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/starlette/routing.py", line 776, in app
await route.handle(scope, receive, send)
| | | | -> <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x12c1c03a0>
| | | -> <function BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.receive_or_disconnect at 0x12c10f1c0>
| | -> {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('127.0.0.1', 7860), 'cl...
| -> <function Route.handle at 0x1049d9000>
-> APIRoute(path='/api/v1/build/{flow_id}/vertices/{vertex_id}', name='build_vertex', methods=['POST'])
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/starlette/routing.py", line 297, in handle
await self.app(scope, receive, send)
| | | | -> <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x12c1c03a0>
| | | -> <function BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.receive_or_disconnect at 0x12c10f1c0>
| | -> {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('127.0.0.1', 7860), 'cl...
| -> <function request_response.<locals>.app at 0x11ccabb50>
-> APIRoute(path='/api/v1/build/{flow_id}/vertices/{vertex_id}', name='build_vertex', methods=['POST'])
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/starlette/routing.py", line 77, in app
await wrap_app_handling_exceptions(app, request)(scope, receive, send)
| | | | | -> <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x12c1c03a0>
| | | | -> <function BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.receive_or_disconnect at 0x12c10f1c0>
| | | -> {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('127.0.0.1',
7860), 'cl...
| | -> <starlette.requests.Request object at 0x12bc82680>
| -> <function request_response.<locals>.app.<locals>.app at 0x12c1c0040>
-> <function wrap_app_handling_exceptions at 0x1049afac0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
await app(scope, receive, sender)
| | | -> <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x12c1c0820>
| | -> <function BaseHTTPMiddleware.__call__.<locals>.call_next.<locals>.receive_or_disconnect at 0x12c10f1c0>
| -> {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.4'}, 'http_version': '1.1', 'server': ('127.0.0.1', 7860), 'cl...
-> <function request_response.<locals>.app.<locals>.app at 0x12c1c0040>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/starlette/routing.py", line 72, in app
response = await func(request)
| -> <starlette.requests.Request object at 0x12bc82680>
-> <function get_request_handler.<locals>.app at 0x11cd976d0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/fastapi/routing.py", line 278, in app
raw_response = await run_endpoint_function(
-> <function run_endpoint_function at 0x1049d9ea0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/fastapi/routing.py", line 191, in run_endpoint_function
return await dependant.call(**values)
| | -> {'chat_service': <langflow.services.chat.service.ChatService object at 0x12c3d1d50>, 'current_user': User(id=UUID('ea4fdc1e-2...
| -> <function build_vertex at 0x10b3f83a0>
-> <fastapi.dependencies.models.Dependant object at 0x11ce140a0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/api/v1/chat.py", line 201, in build_vertex
) = await graph.build_vertex(
| -> <function Graph.build_vertex at 0x10b341c60>
-> Graph:
Nodes: ['ChatInput-17ruO', 'AstraDB-sshfE', 'ParseData-tsWv6', 'Prompt-MEwgd', 'OpenAIModel-vaqVm', 'ChatOutput-GeRH3'...
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/graph/graph/base.py", line 878, in build_vertex
await vertex.build(
| -> <function Vertex.build at 0x10b339ea0>
-> Vertex(display_name=Azure OpenAI Embeddings, id=AzureOpenAIEmbeddings-D3MlY, data={'type': 'AzureOpenAIEmbeddings', 'node': {...
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/graph/vertex/base.py", line 713, in build
await step(user_id=user_id, **kwargs)
| | -> {'fallback_to_env_vars': False}
| -> UUID('ea4fdc1e-2986-4aa0-8077-f6920cca09cd')
-> <bound method Vertex._build of Vertex(display_name=Azure OpenAI Embeddings, id=AzureOpenAIEmbeddings-D3MlY, data={'type': 'Az...
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/graph/vertex/base.py", line 414, in _build
await self._get_and_instantiate_class(user_id, fallback_to_env_vars)
| | | -> False
| | -> UUID('ea4fdc1e-2986-4aa0-8077-f6920cca09cd')
| -> <function Vertex._get_and_instantiate_class at 0x10b339b40>
-> Vertex(display_name=Azure OpenAI Embeddings, id=AzureOpenAIEmbeddings-D3MlY, data={'type': 'AzureOpenAIEmbeddings', 'node': {...
> File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/graph/vertex/base.py", line 618, in _get_and_instantiate_class
result = await loading.instantiate_class(
| -> <function instantiate_class at 0x106c2a560>
-> <module 'langflow.interface.initialize.loading' from '/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-p...
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/interface/initialize/loading.py", line 39, in instantiate_class
custom_component, build_results, artifacts = await build_component_and_get_results(
-> <function build_component_and_get_results at 0x106c2a5f0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/interface/initialize/loading.py", line 72, in
build_component_and_get_results
return await build_component(params=params_copy, custom_component=custom_component)
| | -> <langflow.utils.validate.AzureOpenAIEmbeddingsComponent object at 0x12be05630>
| -> {'api_key': '01483a6de7454f2f84b329a12268dd59', 'api_version': '2023-08-01-preview', 'azure_deployment': 'ms-chat-gpt-35-turb...
-> <function build_component at 0x10b3184c0>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/interface/initialize/loading.py", line 146, in build_component
build_results, artifacts = await custom_component.build_results()
| -> <function Component.build_results at 0x10b318040>
-> <langflow.utils.validate.AzureOpenAIEmbeddingsComponent object at 0x12be05630>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/custom/custom_component/component.py", line 136, in build_results
return await self._build_with_tracing()
| -> <function Component._build_with_tracing at 0x10b16feb0>
-> <langflow.utils.validate.AzureOpenAIEmbeddingsComponent object at 0x12be05630>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/custom/custom_component/component.py", line 125, in _build_with_tracing
_results, _artifacts = await self._build_results()
| -> <function Component._build_results at 0x10b3180d0>
-> <langflow.utils.validate.AzureOpenAIEmbeddingsComponent object at 0x12be05630>
File "/Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/custom/custom_component/component.py", line 154, in _build_results
result = method()
-> <bound method AzureOpenAIEmbeddingsComponent.build_embeddings of <langflow.utils.validate.AzureOpenAIEmbeddingsComponent obje...
File "<string>", line 75, in build_embeddings
ValueError: Could not connect to AzureOpenAIEmbeddings API.
╭─────────────────────────────────────────────────────────────────── Traceback (most recent call last) ────────────────────────────────────────────────────────────────────╮
│ in build_embeddings:67 │
│ │
│ /Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/pydantic/v1/main.py:341 in __init__ │
│ │
│ 338 │ │ # Uses something other than `self` the first arg to allow "self" as a settable │
│ attribute │
│ 339 │ │ values, fields_set, validation_error = │
│ validate_model(__pydantic_self__.__class__, data) │
│ 340 │ │ if validation_error: │
│ ❱ 341 │ │ │ raise validation_error │
│ 342 │ │ try: │
│ 343 │ │ │ object_setattr(__pydantic_self__, '__dict__', values) │
│ 344 │ │ except TypeError as e: │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
ValidationError: 1 validation error for AzureOpenAIEmbeddings
dimensions
value is not a valid integer (type=type_error.integer)
The above exception was the direct cause of the following exception:
╭─────────────────────────────────────────────────────────────────── Traceback (most recent call last) ────────────────────────────────────────────────────────────────────╮
│ /Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/graph/vertex/base.py:618 in _get_and_instantiate_class │
│ │
│ 615 │ │ if self.base_type is None: │
│ 616 │ │ │ raise ValueError(f"Base type for vertex {self.display_name} not found") │
│ 617 │ │ try: │
│ ❱ 618 │ │ │ result = await loading.instantiate_class( │
│ 619 │ │ │ │ user_id=user_id, │
│ 620 │ │ │ │ fallback_to_env_vars=fallback_to_env_vars, │
│ 621 │ │ │ │ vertex=self, │
│ │
│ /Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/interface/initialize/loading.py:39 in instantiate_class │
│ │
│ 36 │ if not base_type: │
│ 37 │ │ raise ValueError("No base type provided for vertex") │
│ 38 │ │
│ ❱ 39 │ custom_component, build_results, artifacts = await build_component_and_get_results( │
│ 40 │ │ params=params, │
│ 41 │ │ vertex=vertex, │
│ 42 │ │ user_id=user_id, │
│ │
│ /Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/interface/initialize/loading.py:72 in build_component_and_get_results │
│ │
│ 69 │ │ if base_type == "custom_components" and isinstance(custom_component, │
│ CustomComponent): │
│ 70 │ │ │ return await build_custom_component(params=params_copy, │
│ custom_component=custom_component) │
│ 71 │ │ elif base_type == "component" and isinstance(custom_component, Component): │
│ ❱ 72 │ │ │ return await build_component(params=params_copy, │
│ custom_component=custom_component) │
│ 73 │ │ else: │
│ 74 │ │ │ raise ValueError(f"Base type {base_type} not found.") │
│ 75 │
│ │
│ /Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/interface/initialize/loading.py:146 in build_component │
│ │
│ 143 ): │
│ 144 │ # Now set the params as attributes of the custom_component │
│ 145 │ custom_component.set_attributes(params) │
│ ❱ 146 │ build_results, artifacts = await custom_component.build_results() │
│ 147 │ │
│ 148 │ return custom_component, build_results, artifacts │
│ 149 │
│ │
│ /Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/custom/custom_component/component.py:136 in build_results │
│ │
│ 133 │ │
│ 134 │ async def build_results(self): │
│ 135 │ │ if self.tracing_service: │
│ ❱ 136 │ │ │ return await self._build_with_tracing() │
│ 137 │ │ return await self._build_without_tracing() │
│ 138 │ │
│ 139 │ async def _build_results(self): │
│ │
│ /Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/custom/custom_component/component.py:125 in _build_with_tracing │
│ │
│ 122 │ │ inputs = self.get_trace_as_inputs() │
│ 123 │ │ metadata = self.get_trace_as_metadata() │
│ 124 │ │ async with self.tracing_service.trace_context(self.trace_name, self.trace_type, │
│ inputs, metadata): │
│ ❱ 125 │ │ │ _results, _artifacts = await self._build_results() │
│ 126 │ │ │ trace_name = self.tracing_service.run_name │
│ 127 │ │ │ self.tracing_service.set_outputs(trace_name, _results) │
│ 128 │
│ │
│ /Users/madhavansridharan/.pyenv/versions/langflow/lib/python3.10/site-packages/langflow/custom/custom_component/component.py:154 in _build_results │
│ │
│ 151 │ │ │ │ │ if output.cache and output.value != UNDEFINED: │
│ 152 │ │ │ │ │ │ _results[output.name] = output.value │
│ 153 │ │ │ │ │ else: │
│ ❱ 154 │ │ │ │ │ │ result = method() │
│ 155 │ │ │ │ │ │ # If the method is asynchronous, we need to await it │
│ 156 │ │ │ │ │ │ if inspect.iscoroutinefunction(method): │
│ 157 │ │ │ │ │ │ │ result = await result │
│ in build_embeddings:75 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
ValueError: Could not connect to AzureOpenAIEmbeddings API.
```
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