# Never ending nightmare

**URL:** <https://forum.langchain.com/t/never-ending-nightmare/2458>\
**Category:** Deployment\
**Created:** [December 9, 2025, 2:58pm UTC](https://forum.langchain.com/t/never-ending-nightmare/2458 "2025-12-09T14:58:24Z")\
**Posts on this page:** 6\
**Page:** 1

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**Author:** ![marcvertrou](https://avatars.discourse-cdn.com/v4/letter/m/f17d59/32.png) [@marcvertrou](https://forum.langchain.com/u/marcvertrou)\
**Post date:** [December 9, 2025, 2:58pm UTC](https://forum.langchain.com/t/never-ending-nightmare/2458/1 "2025-12-09T14:58:24Z")

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i ran the deepagent on my machine, works perfectly but once deployed and with a paid seat:

TypeError(‘“Could not resolve authentication method. Expected either api\_key or auth\_token to be set. Or for one of the `X-Api-Key` or `Authorization` headers to be explicitly omitted”’)Traceback (most recent call last):

File “/usr/local/lib/python3.11/site-packages/langgraph/pregel/main.py”, line 2971, in astream  
async for \_ in runner.atick(…

And no documentation of any help would work, its own Studio failed repeatedly the ai help in langchain keeps on insisting to add anthropic key, langsmith secret key and so on .

Not a single success api call and test for hours trying to unravel what should have been a too making agent deployment easier.

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**Author:** ![wfh](https://yyz1.discourse-cdn.com/flex007/user_avatar/forum.langchain.com/wfh/32/33_2.png) [@wfh](https://forum.langchain.com/u/wfh)\
**Post date:** [December 9, 2025, 3:03pm UTC](https://forum.langchain.com/t/never-ending-nightmare/2458/2 "2025-12-09T15:03:07Z")

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This looks like it’s the Anthropic SDK (or your model provider) telling you that you haven’t provided an API key for your model.

Have you set an ANTHROPIC\_API\_KEY in your deployment environment?

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<div class="post-metadata">

**Author:** ![marcvertrou](https://avatars.discourse-cdn.com/v4/letter/m/f17d59/32.png) [@marcvertrou](https://forum.langchain.com/u/marcvertrou)\
**Post date:** [December 9, 2025, 3:04pm UTC](https://forum.langchain.com/t/never-ending-nightmare/2458/3 "2025-12-09T15:04:48Z")

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yup i set it in the settings → workspace → secrets  
ANTHROPIC\_API\_KEY  
In fact i done this twice by deleting and setting it again in case the first one has a typo on the value.

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<div class="post-metadata">

**Author:** ![wfh](https://yyz1.discourse-cdn.com/flex007/user_avatar/forum.langchain.com/wfh/32/33_2.png) [@wfh](https://forum.langchain.com/u/wfh)\
**Post date:** [December 9, 2025, 3:09pm UTC](https://forum.langchain.com/t/never-ending-nightmare/2458/4 "2025-12-09T15:09:09Z")

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Ah I see the misunderstanding. LangSmith observability secrets are entirely different than the environment for a given agent server / LangGraph app you’re deploying.

You need to configure environment for a specific deployment. You can do so by clicking “New revision” and adding the relevant variables.

 ![image](https://canada1.discourse-cdn.com/flex007/uploads/langchain/original/2X/b/b04d2b0012349254b18d4688a9298d432b1a6064.png)

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<div class="post-metadata">

**Author:** ![marcvertrou](https://avatars.discourse-cdn.com/v4/letter/m/f17d59/32.png) [@marcvertrou](https://forum.langchain.com/u/marcvertrou)\
**Post date:** [December 9, 2025, 3:14pm UTC](https://forum.langchain.com/t/never-ending-nightmare/2458/5 "2025-12-09T15:14:15Z")

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can u kindly provide also a simple script in python or curl where i could send a “hello world” to my deployed agent and get back some response. the docs don’t even have this example. The “assistand id” isnt even obvious or copyable anywhere in the deployment screen and not an id that was needed in the console version, i dont get why the deploy version is just so drastically diff and difficult.

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<div class="post-metadata">

**Author:** ![hari](https://yyz1.discourse-cdn.com/flex007/user_avatar/forum.langchain.com/hari/32/187_2.png) [@hari](https://forum.langchain.com/u/hari)\
**Post date:** [December 9, 2025, 3:32pm UTC](https://forum.langchain.com/t/never-ending-nightmare/2458/6 "2025-12-09T15:32:25Z")

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Hi @marcvertrou , I recommend using Studio to easily invoke your agent, docs are here: [How to use Studio - Docs by LangChain](https://docs.langchain.com/langsmith/use-studio#run-application) .

If you would like to invoke the agent via python, I recommend using the[langsmith deployment sdk](https://reference.langchain.com/python/langsmith/deployment/sdk/). Here is a good example: [Manage assistants - Docs by LangChain](https://docs.langchain.com/langsmith/configuration-cloud#use-an-assistant) . As mentioned in that section, you can pass either a **graph ID** or **assistant ID** when running your graph.

For more information on assistants, I recommend going through the conceptual guide: [Assistants - Docs by LangChain](https://docs.langchain.com/langsmith/assistants) .

Hope this helps!