Cloudflare Developers•11mo ago

Yes, heres the code, i wrote the code in help section

CCharles Von Habsburg Yes, heres the code, i wrote the code in help section

Mathis @ blaxel.ai•1/30/25, 5:05 PM

Let me check this out

Charles Von HabsburgOP•1/30/25, 5:07 PM

Thanks

CCharles Von Habsburg Thanks

Mathis @ blaxel.ai•1/30/25, 5:08 PM

I can't find, are you sure you've posted it?

Charles Von HabsburgOP•1/30/25, 5:10 PM

Im sorry, its in the q and a section

Charles Von HabsburgOP•1/30/25, 5:10 PM

I know its in the wrong place

MMathis @ blaxel.ai I can't find, are you sure you've posted it?

Charles Von HabsburgOP•1/30/25, 5:14 PM

MMattIPv4 Cf: <https://developers.cloudflare.com/workers-ai/models/deepseek-r1-distill-qwe...

�

😈 Donkey 💫•1/31/25, 11:06 AM

This price for joining the hype lmao.
CF AI now is a OpenRouter provider

user•2/2/25, 1:04 AM

:frown: very unfortunate to see that the r1 cf has is majorly censored like the chinese hosted one.

user•2/2/25, 1:06 AM

i thought the OSS model one didnt have the major censorship

user•2/2/25, 1:06 AM

only the deepseek's official one

user•2/2/25, 1:06 AM

mightve been misinformed

user•2/2/25, 1:23 AM

i see

rob•2/2/25, 8:08 PM

hit up the PM of workers AI on Twitter , they love hearing what models ppl want

Kyle G•2/3/25, 6:23 PM

Looking for a sanity check on an idea here...is it crazy that I'm considering a quick POC of CF agents + browsing to do basic app testing validation? The dream idea in my head is like "go to this URL and login with these credentials and then use the app, playing music, adding songs to a playlist, your library"

feeling like I might be able to massively and quickly improve testing coverage/bug reporting and also massively decrease the difficulty of "writing tests" but idk if I would be using the tool incorrectly if I go down this path.

the enger•2/3/25, 10:42 PM

is https://developers.cloudflare.com/workers-ai/models/whisper-large-v3-turbo/ working? getting 'Request body is not valid json" back

Cloudflare Docs

whisper-large-v3-turbo · Cloudflare Workers AI docs

Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation.

the enger•2/3/25, 10:48 PM

oh got it - docs still show Uint8Array for typescript worker / --data-binary for the curl, but audio should be sent by encoding it with the Base64

merlo•2/4/25, 3:12 PM

Is there any roadmap for models being added to cloudflare's catalogue? I feel like the options available are surprisingly limited. IE only 1 model that supports function calling.

Mitya•2/4/25, 6:03 PM

How does one pick a text generation (or any) model from those available? On the models page, even filtering to "text generation" still results in 10s of models. Some are named such that their purpose is obvious e.g. "deepseek-coder", but of the more general ones, is there one that is considered more performant?

MMitya How does one pick a text generation (or any) model from those available? On the ...

Isaac McFadyen•2/4/25, 6:47 PM

Two main criteria:

The bigger the weight the more intelligent they will (generally) be, i.e. a 70b will usually beat an 8b although newer 8b might come close, but also the slower they will return a response
The provider who trained it, i.e. Mistral or Llama are both good options but it's really just a matter of testing to see which is better for your specific use-case

IIsaac McFadyen Two main criteria: - The bigger the weight the more intelligent they will (gener...

Mitya•2/4/25, 7:00 PM

That's helpful - thanks!

Marius B.•2/5/25, 9:23 AM

Someone please help me understand Workers AI vs Deepseek Pricing. The DeepSeek API costs $0.28 per million output tokens. Running DeepSeek on Workers would cost $4.88 per 1M output token + the unbound worker usage, I assume. But this is a big discrepancy in price. Am I getting something wrong?
https://api-docs.deepseek.com/quick_start/pricing
https://developers.cloudflare.com/workers-ai/models/deepseek-r1-distill-qwen-32b/

MMattIPv4 Cf: <https://developers.cloudflare.com/workers-ai/models/deepseek-r1-distill-qwe...

Advany•2/5/25, 10:24 AM

already anwsered, scroll back

rob•2/5/25, 3:29 PM

tldr. CHOYNA

Mitya•2/5/25, 3:46 PM

Does anyone have any view on which is the best text genertion model that reliably outputs JSON? I'm finding that llama-3.3-70b-instruct-fp8-fastllama-3.3-70b-instruct-fp8-fast is reliable about 70% of the time, but will occasionally throw in an invalid bracket here and there. Any other models people are using for this? (Yes I know there's Function Calls as well.)

MMitya Does anyone have any view on which is the best text genertion model that reliabl...

Isaac McFadyen•2/5/25, 6:28 PM

Your best bet is to implement retries, really.

Isaac McFadyen•2/5/25, 6:28 PM

Try parsing the JSON and if it fails re-send the request.

Isaac McFadyen•2/5/25, 6:28 PM

Unless specifically forced to output JSON via low-level logit math (which Workers AI doesn't support, I don't think) then there will always be some cases where it returns invalid JSON.

Isaac McFadyen•2/5/25, 6:29 PM

You can try to improve it by using specific system messages but it'll never be 100% without forced logits.

IIsaac McFadyen Your best bet is to implement retries, really.

Mitya•2/6/25, 9:27 AM

Thanks. Yeah this is what I'm doing currently. It's helping a lot, but as you say, there's always some cases. I note that the mistral model (CF's single function calls-capable model, at least according to the filters on the models page) has a "JSON mode". But in the input params, this is not mentioned, so supposedly there's a way to force it to return JSON but I'm unsure whether there's a param missing from the docs.

Mitya•2/6/25, 9:28 AM

Also, this looks interesting re: structured output: https://js.langchain.com/docs/how_to/structured_output/

How to return structured data from a model | 🦜️🔗 Langchain

It is often useful to have a model return output that matches some

MMitya Thanks. Yeah this is what I'm doing currently. It's helping a lot, but as you sa...

Isaac McFadyen•2/6/25, 1:01 PM

I don't believe there is. That's for when you're running it locally.

MMitya Thanks. Yeah this is what I'm doing currently. It's helping a lot, but as you sa...

thomash•2/6/25, 2:04 PM

if you are using the OpenAI compatible API, I think you can enable JSON mode by passing the correct response_formatresponse_format. Since it is possible to access of CloudFlare's models via the OpenAI API.

Tthomash if you are using the OpenAI compatible API, I think you can enable JSON mode by ...

Isaac McFadyen•2/6/25, 2:15 PM

Cloudflare's API does not respect the JSON mode setting iirc

Isaac McFadyen•2/6/25, 2:15 PM

I tried the other day and it ignored it.

Torianna•2/6/25, 2:16 PM

to be fair, json mode is only supported on a small amount of models

Torianna•2/6/25, 2:16 PM

since it requires modifying how the model responds

TTorianna to be fair, json mode is only supported on a small amount of models

Isaac McFadyen•2/6/25, 2:17 PM

Kind of? Like, the models themselves have "JSON mode" but it's not actually that hard to force it to be JSON, it just needs some forced logits but theoretically any backend that does that will work with any model.

Isaac McFadyen•2/6/25, 2:17 PM

I just don't think CF's backend has that setting or if it does it's not enabled.

Torianna•2/6/25, 2:18 PM

true

Torianna•2/6/25, 2:18 PM

but also looking at the models CF has, most dont allow modifying the logit bias

Muhammadreza Haghiri•2/6/25, 2:24 PM

Hi everyone.
I am using CF AI workers a lot and recently, my startup (basically me and my team) relesead this new 8B multilingual model:

https://huggingface.co/mann-e/Hormoz-8B

I just want to know how can we use it through AI workers?

mann-e/Hormoz-8B · Hugging Face

MMuhammadreza Haghiri Hi everyone. I am using CF AI workers a lot and recently, my startup (basically...

Isaac McFadyen•2/6/25, 2:32 PM

?workers-ai-models

SuperHelpflare•2/6/25, 2:32 PM

Workers AI currently only supports popular open-source models provided by the Cloudflare team, as well as your own LoRAs that can be applied on top of the Cloudflare-provided models. You cannot currently upload your own models or use a model from HuggingFace. See the documentation for the list of Cloudflare-provided models: https://developers.cloudflare.com/workers-ai/models/

Mitya•2/6/25, 4:29 PM

Update on the structured/JSON output discussion above, I've had great results with a mixture of LangChain, native JSON schemas and Mistral (when using Mistral directly via their own API). Here's a truncated example:

import { ChatMistralAI } from "@langchain/mistralai"
router.get('/mistral', async req => {
  const model = new ChatMistralAI({
    model: "mistral-large-latest",
    temperature: 0,
    apiKey: <MISTRAL-API-KEY>
  });
  const structuredLlm = model.withStructuredOutput(<JSON-SCHEMA-HERE>);
  return await structuredLlm.invoke(<YOUR-PROMPT-HERE>);
})

import { ChatMistralAI } from "@langchain/mistralai"
router.get('/mistral', async req => {
  const model = new ChatMistralAI({
    model: "mistral-large-latest",
    temperature: 0,
    apiKey: <MISTRAL-API-KEY>
  });
  const structuredLlm = model.withStructuredOutput(<JSON-SCHEMA-HERE>);
  return await structuredLlm.invoke(<YOUR-PROMPT-HERE>);
})

Returns JSON nearly every time and there's support for built-in retries where it fails.

crazyjack12•2/6/25, 7:11 PM

There was a beta to be able to use a hugging face model, but not sure what’s the state of that project @Muhammadreza Haghiri

dandoen•2/7/25, 11:44 AM

maybe this channel is more appropriate than vectorize, but i'm wondering if there are any short term plans to make the multi-lingual text embedding model BAAI/bge-m3 available? current BGE ones are EN only
vectorize

GaryLi•2/7/25, 4:11 PM

asking if workers ai can get full-sized deepseek r1 model

.triloksingh•2/7/25, 4:48 PM

#workers-aiI have a paid plan, but I want to make expectations for my admin panel. my website url is example.com/admin

import { ChatMistralAI } from "@langchain/mistralai" router.get('/mistral', async req => { const model = new ChatMistralAI({ model: "mistral-large-latest", temperature: 0, apiKey: <MISTRAL-API-KEY> }); const structuredLlm = model.withStructuredOutput(<JSON-SCHEMA-HERE>); return await structuredLlm.invoke(<YOUR-PROMPT-HERE>); })

Yes, heres the code, i wrote the code in help section

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