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Decision brief
RagaAI-Catalyst emerges as a specialized Python framework designed for monitoring and evaluating AI agents, with unique features around self-hosted dashboards, advanced analytics, and support for tracing and debugging LL
Good fit when
- When you need comprehensive tools for the observability of complex multi-agentic systems.
- If your project involves detailed execution graph views and timeline analyses within a Python environment.
Avoid when
- When you prefer a language-agnostic solution or require support outside of the Python ecosystem.
- If your primary need is focused solely on basic monitoring without advanced debugging and evaluation features.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (189d since push)
- As of 1d
- Provenance
- Not a fork · Organization account
- As of 1d
- Security (OSV)
- 159 low (159 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install RagaAI-CatalystHow it fits your stack(32)
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Evidence and technical details
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Overview
RagaAI-Catalyst is a Python-based framework that provides tools for the monitoring, tracing, debugging, and evaluation of AI agents and multi-agentic systems. It includes features such as self-hosted dashboard support with advanced analytics and visualization.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 20, 2026)
pip install ragaai-catalystSource link
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README
Installation
To install RagaAI Catalyst, you can use pip:
pip install ragaai-catalyst
Get specific deployment id with guardrails information
deployment_id_detail = gdm.get_deployment(17) print('deployment_id_detail:', deployment_id_detail)
Add guardrails to a deployment id
guardrails_config = {"guardrailFailConditions": ["FAIL"], "deploymentFailCondition": "ALL_FAIL", "alternateResponse": "Your alternate response"}
guardrails = [ { "displayName": "Response_Evaluator", "name": "Response Evaluator", "config":{ "mappings": [{ "schemaName": "Text", "variableName": "Response" }], "params": { "isActive": {"value": False}, "isHighRisk": {"value": True}, "threshold": {"eq": 0}, "competitors": {"value": ["Google","Amazon"]} } } }, { "displayName": "Regex_Check", "name": "Regex Check", "config":{ "mappings": [{ "schemaName": "Text", "variableName": "Response" }], "params":{ "isActive": {"value": False}, "isHighRisk": {"value": True}, "threshold": {"lt1": 1} } } } ]
gdm.add_guardrails(deployment_id, guardrails, guardrails_config)
For agents
This page has a .md twin and JSON over the API.