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AlexanderA
Convex Community•2y ago•
4 replies
Alexander

Starting with HTTP streaming

I have found myself quite confused in regards to convex environment variables, how they work and how to use them. I have been following along with this provided convex tutorial in my app:
https://stack.convex.dev/streaming-http-using-fetch
However, it seems no matter what I do I cannot get the evrionment variable LLM_API_KEY to work as intended. I have added the function llm.ts (provided here: https://gist.github.com/ianmacartney/53dafa51d37469534846105e39d99a25) to my convex functions folder. However, when I use the functions in my app, I get an error "ReferenceError: process is not defined." From the convex documentation, it seems that only convex functions (i.e.e queries, mutations, and actions) have access to environment variables, so I would need to rewrite the code as an action or create some helper function. But from the code provided this post it seems like there must be some easier and more elegant solution that I am just missing. Does anyone know what I am missing here?
Streaming HTTP Responses using fetch
Learn the basics of HTTP streaming with Convex by re-implementing OpenAI's SDK using built-in fetch and async iterators. No npm dependencies needed.
Streaming HTTP Responses using fetch
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james

Hi @everyone with everything going on today I forgot to post on discord about our EU launch! We have a region in Dublin now! You can start using it immediately, even for folks on the free plan. https://news.convex.dev/we-finally-got-our-eu-visa/ Stay tuned for more regions but also stay tuned for more infra improvements where we improve latency for teams no matter where their servers are located. Just at the tip of the iceberg re all the optimizations we have lined up.

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Wayne

Hi @everyone happy Monday. Components Authoring [Challenge](https://www.convex.dev/components/challenge) updates! Meet the second batch of community-approved components **Firecrawl Scrape **- Scrape any URL and get clean markdown, HTML, screenshots, or structured JSON - with durable caching and reactive queries. https://www.convex.dev/components/firecrawl-scrape Built by: Gitmaxd **Durable Agents **- A Convex component for building durable AI agents with an async tool loop. https://www.convex.dev/components/durable-agents Built by: Siegfried **Convex Debouncer** - A server-side debouncing component for debouncing expensive operations like LLM calls, metrics computation, or any heavy processing that should only run after a period of inactivity. https://www.convex.dev/components/debouncer Built by: Ilya **DatabaseChat **- A Convex component for adding natural language database queries to your app. https://www.convex.dev/components/database-chat Built by: Nick **Transloadit** - A Convex component for creating Transloadit Assemblies, handling resumable uploads with status, and persisting status/results in Convex. https://www.convex.dev/components/transloadit Built by: Kvz **Loops** - A Convex component for integrating with Loops.so email marketing platform. https://www.convex.dev/components/loops Built by: Bobby The [challenge](https://www.convex.dev/components/challenge) is now ongoing, so keep building, and we'll keep rewarding. Thanks, everyone!

Wayne · 3w ago

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