TraceLite
Lightweight LLM observability SDK with vector semantic caching using PostgreSQL (pgvector) and Redis.
Features
- Async Telemetry: Logs token usage, cost, latency, and TTFT in background threads.
- Two-Tier Caching: Exact hash caching (Redis) + Semantic vector caching (pgvector).
- Fallback Token Counting: Uses
tiktokenif native usage streaming metadata is omitted.
Installation
pip install tracelite
from tracelite.client import ObservedOpenAI
client = ObservedOpenAI(
api_key="your-openai-api-key",
db_url="postgresql://tracelite:secretpassword@localhost:5432/llm_observability"
)
response = client.chat_completion(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Hello world!"}]
)
print(response.choices[0].message.content)
1 maintainer
Release files for tracelite 0.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tracelite-0.1.9.tar.gz | 6.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tracelite-0.1.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.6 kB
Release files / tracelite-0.1.9.tar.gz
| Download URL | tracelite-0.1.9.tar.gz |
|---|---|
| Size | 6.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
95397231158946ba1a4b6ae79c9345da1473528f410441123b0d3cbcdffa02d8
|
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BLAKE2b-256 checksum How to use checksums |
f071adaba6301d8e491cc233ded167a3a285349282e6a09e7fd159ee7c584233
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / tracelite-0.1.9-py3-none-any.whl
| Download URL | tracelite-0.1.9-py3-none-any.whl |
|---|---|
| Size | 7.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
72f0fe8dc1d1c1b4ae18fce2cbfa90a93a6efbab745ebae928ade7132a5a87e9
|
|
BLAKE2b-256 checksum How to use checksums |
2c8fb2d78b71dc9327c1cb146228dc0d97ca961f45ce638a03117e97e246e140
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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Signed by GitHub Actions, verified by PyPI on Sep 25, 2026.
Transparency log
