vectorcache-tools
PyPI client for VectorCache.
pip install "vectorcache-tools[x402,langchain]"
# also available via monorepo:
# pip install "nodeproxy-tools[vectorcache]"
export EVM_PRIVATE_KEY=0x...
from vectorcache_tools import VectorCacheClient
client = VectorCacheClient()
result = client.lookup(
"agent swarm semantic lookup",
vector=[0.12, 0.04, -0.08],
namespace="my-swarm",
)
print(result.cache, result.similarity, result.vector)
1 maintainer
Release files for vectorcache-tools 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vectorcache_tools-0.1.0.tar.gz | 4.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vectorcache_tools-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.5 kB
Release files / vectorcache_tools-0.1.0.tar.gz
| Download URL | vectorcache_tools-0.1.0.tar.gz |
|---|---|
| Size | 4.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|
Release files / vectorcache_tools-0.1.0-py3-none-any.whl
| Download URL | vectorcache_tools-0.1.0-py3-none-any.whl |
|---|---|
| Size | 5.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|
