A simple llm router
Project description
llamux 🦙
A simple router to rotate across your configured LLM endpoints, balancing load and avoiding rate limits. The router selects your preferred provider-model pair based on an implicit preference list, ensuring token and request limits (day/hour/minute) aren't crossed. State persists across sessions, with quotas stored in local cache.
Install
Requires Python 3.11+
pip install llamux
Usage
You need first to set the list of endpoints you want to allow routing on;
$ > endpoints.csv
| provider | model | rpm | tpm | rph | tph | rpd | tpd |
| -------- | ----------------------- | --- | ----- | ----- | ------- | ----- | ------- |
| cerebras | llama3.3-70b | 30 | 60000 | 900 | 1000000 | 14400 | 1000000 |
| groq | llama-3.3-70b-versatile | 30 | 6000 | 14400 | | 14400 | |
where rpm, tpm are requests and tokens limits per minutes, and the same follows for hours and days. Important note 🔊 Your implicit preference list is given by the ordering of the endpoints in this table. In the above, we'll always prefer Cerebras over Groq, as long as the quota limits are not exceeded.
Use it as a standalone router;
from llamux import Router
os.environ["CEREBRAS_API_KEY"] = "sk-..."
os.environ["GROQ_API_KEY"] = "sk-..."
router = Router.from_csv("endpoints.csv")
messages = [{"role": "user", "content": "Hello, how are you?"}]
provider, model, id, props = router.query(messages)
# provider: cerebras, model: llama3.3-70b
Or use it directly as a completion endpoint;
from llamux import Router
router = Router.from_csv("endpoints.csv")
messages = [{"role": "user", "content": "hey" * 59999}]
response = router.completion(messages) # calls cerebras
response = router.completion(messages) # calls groq (cerebras quota is out!)
The above builds upon litellm llm proxy
More features
Contributions are welcome :)
- Add support for speed and cost routing preferences
- Add other routing strategies (now preferencial ordering only)
- Avoid getting preference listing from table ordering
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file llamux-0.1.8.tar.gz.
File metadata
- Download URL: llamux-0.1.8.tar.gz
- Upload date:
- Size: 4.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.4 CPython/3.13.0 Darwin/22.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fe139668d6970ea9630fa9f3df7419a60554905bc6b9124c31d360d06b180e19
|
|
| MD5 |
48bf0eb78f1f3930fac2151161745c25
|
|
| BLAKE2b-256 |
a88ad4efe432f2aa748c368f614c194bd1390883f7b06ce832221df150058e98
|
File details
Details for the file llamux-0.1.8-py3-none-any.whl.
File metadata
- Download URL: llamux-0.1.8-py3-none-any.whl
- Upload date:
- Size: 5.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.4 CPython/3.13.0 Darwin/22.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0b5a9354cd7fedba6fd6dc2d06189a6392ab9259c2790b21ed56e1ee0bbead33
|
|
| MD5 |
756a07ca609c3c65606bd799d801215d
|
|
| BLAKE2b-256 |
4282052c52053a54354fa1c59e652e8c023426ced87814245db02c8f8cc8d882
|