Hypermode Model Router Preview – OpenRouter Alternative
1–10 of 25 posts
Re: Hypermode Model Router Preview – OpenRouter Alternative
#2But OpenRouter is ridiculously popular so it must be very useful for other use cases!
Re: Hypermode Model Router Preview – OpenRouter Alternative
#3What I'm seeing with Brokk ( https://brokk.ai ) is that models are not really interchangeable for code authoring. Even with frontier models like GP2.5 and Sonnet 3.7, Sonnet is significantly better about following instructions ("don't add redundant comments") while GP2.5 has more raw intelligence. So we're using litellm to create a unified API to consume but the premise of "route your requests to whatever model is re…
Also, being able to use models from multiple services and open source models without signing up for another service / bring your own API key is a big accelerator for folks getting started with Hypermode agents.
Re: Hypermode Model Router Preview – OpenRouter Alternative
#4What I'm seeing with Brokk ( https://brokk.ai ) is that models are not really interchangeable for code authoring. Even with frontier models like GP2.5 and Sonnet 3.7, Sonnet is significantly better about following instructions ("don't add redundant comments") while GP2.5 has more raw intelligence. So we're using litellm to create a unified API to consume but the premise of "route your requests to whatever model is re…
Agreed on swapping models for code-gen doesn't make sense. We're mostly indexed on GPT-4.1 for our AgentBuilder product. I haven't found it easy to move between models for code super effective.
The most popular use case we've seen from folks is on the iteration/experimentation phase of building an agent/tool. We made ModelRouter originally as an internal service for our "prompt to agent" product, where folks are trying a few dozen models/MCPs/tools/data/etc really quickly as they try to find a local maximum for some automation or job.
Re: Hypermode Model Router Preview – OpenRouter Alternative
#5What I'm seeing with Brokk ( https://brokk.ai ) is that models are not really interchangeable for code authoring. Even with frontier models like GP2.5 and Sonnet 3.7, Sonnet is significantly better about following instructions ("don't add redundant comments") while GP2.5 has more raw intelligence. So we're using litellm to create a unified API to consume but the premise of "route your requests to whatever model is re…
(This would be more for using models at scale in production as opposed to individual use for code authoring etc.)
Re: Hypermode Model Router Preview – OpenRouter Alternative
#6The following sample (probably) does the same thing and is almost half as short. I have not tested it because there is no signup (EDIT: I was mistaken, there actually is a "signup" behind the login link, which is Google or GitHub login, so the naming makes sense. I confused it with a previously more prominent waitlist link.)
import requests
# Your Hypermode Workspace API key
api_key = ""
# Use the Hypermode Model Router API endpoint
url = f"https://models.hypermode.host/v1/chat/completions"
headers = {"Authorization": f"Bearer {api_key}"}
payload = {
"model": "meta-llama/llama-4-scout-17b-16e-instruct",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "What is Dgraph?"},
],
"max_tokens": 150,
"temperature": 0.7,
}
# Make the API request
with requests.post(url, headers=headers, json=payload) as response:
response.raise_for_status()
print(response.json()["choices"][0]["message"]["content"])Re: Hypermode Model Router Preview – OpenRouter Alternative
#7The Python API example looks like it has been written by an LLM. You don't need to import json, you don't need to set the content type and it is good practice to use context managers ("with" statement) to release the connection in case of exceptions. Also, you don't gain anything by commenting variables with the name of the variable. The following sample (probably) does the same thing and is almost half as short. I h…
There's a waitlist for our prompt to agent product in the banner. That's a good call to update it to be more clear.
Re: Hypermode Model Router Preview – OpenRouter Alternative
#8The Python API example looks like it has been written by an LLM. You don't need to import json, you don't need to set the content type and it is good practice to use context managers ("with" statement) to release the connection in case of exceptions. Also, you don't gain anything by commenting variables with the name of the variable. The following sample (probably) does the same thing and is almost half as short. I h…
Signups are open: hypermode.com/sign-up There's a waitlist for our prompt to agent product in the banner. That's a good call to update it to be more clear.
Re: Hypermode Model Router Preview – OpenRouter Alternative
#9Re: Hypermode Model Router Preview – OpenRouter Alternative
#10What I'm seeing with Brokk ( https://brokk.ai ) is that models are not really interchangeable for code authoring. Even with frontier models like GP2.5 and Sonnet 3.7, Sonnet is significantly better about following instructions ("don't add redundant comments") while GP2.5 has more raw intelligence. So we're using litellm to create a unified API to consume but the premise of "route your requests to whatever model is re…
Are there any of these tools which will use your evals to automatically recommend a model to use? Imagine if you didn't need to follow model releases anymore, and you just had a heuristic that would automatically select the right price/performance tradeoff. Maybe there's even a way to route queries differently to more expensive models depending on how tricky they are. (This would be more for using models at scale in…
Feels a bit halting-problem-ish: can you tell if a problem is too hard for model A without being smarter than model A yourself?