Contents

monocle-apptrace 0.7.4

0

package with monocle genAI tracing

package with monocle genAI tracing

Stars: 66, Watchers: 66, Forks: 25, Open Issues: 44

The monocle2ai/monocle repo was created 1 years ago and the last code push was 5 days ago. The project is moderately popular with 66 github stars!

How to Install monocle-apptrace

You can install monocle-apptrace using pip

pip install monocle-apptrace

or add it to a project with poetry

poetry add monocle-apptrace

Package Details

Author
None
License
Apache-2.0
Homepage
None
PyPi:
https://pypi.org/project/monocle-apptrace/
GitHub Repo:
https://github.com/monocle2ai/monocle

Classifiers

No  monocle-apptrace  pypi packages just yet.

Errors

A list of common monocle-apptrace errors.

Code Examples

Here are some monocle-apptrace code examples and snippets.

GitHub Issues

The monocle-apptrace package has 44 open issues on GitHub

  • Scope attributes MS Agent
  • Add attribute in retrieval span for KnowledgeBase
  • Add input and output for aiohttp MSAgent SDK
  • Support exporter to Google cloud store
  • Crew version update code changes
  • Inference span not visible in MS agent framework traces
  • Tool name not visible in inference span for openai
  • File Exporter not creating complete spans for llamaindex travel agent
  • Allow multiple runs of a test (pytest-repeat)
  • Add agent runner for llama index
  • Add crew runner to test framework
  • Add missing agent runners in the test framework
  • s3 and blob exporter failing on AWS Lambda Functions.
  • Support http exporter as first class exporter for Monocle
  • Allow multiple runs of a given test

See more issues on GitHub

Related Packages & Articles

jina 3.34.0

Multimodal AI services & pipelines with cloud-native stack: gRPC, Kubernetes, Docker, OpenTelemetry, Prometheus, Jaeger, etc.

deepsparse 1.9.0

[DEPRECATED] An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application

auto-gptq 0.7.1

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.