Agent Watch
Agent Watch is an operational monitoring library for Crew AI applications. It captures essential metrics such as token counts, costs, execution time, resource utilization, carbon emissions, and detailed logs. Additionally, it offers both textual and visual representations of the collected data via a Command-Line Interface (CLI) or a Streamlit dashboard.
Features
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Token Counting
- Total tokens
- Input tokens
- Output tokens
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Cost Calculation
- Based on the token usage and model pricing
-
Performance Metrics
- Time taken for each call
- CPU and memory consumption
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Environmental Impact
- Estimated CO₂ emissions
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Logging
- Comprehensive logs of all operations
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Visualization
- CLI summaries
- Streamlit dashboard for detailed insights
Installation
You can install Agent Watch via pip. If not published to PyPI, install it locally:
pip install .
Metadata
Release files for agent-watch 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| agent_watch-0.1.2.tar.gz | 6.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agent_watch-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.5 kB
Release files / agent_watch-0.1.2.tar.gz
| Download URL | agent_watch-0.1.2.tar.gz |
|---|---|
| Size | 6.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.3
|
Release files / agent_watch-0.1.2-py3-none-any.whl
| Download URL | agent_watch-0.1.2-py3-none-any.whl |
|---|---|
| Size | 8.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.3
|