How should Observability-for-AI-Agents be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

Observability-for-AI-Agents answer-first brief

Integration of observability into AI agent systems using AgentOps and CrewAI for monitoring and tracking 🕵️‍♂️ AI Agent Observability with AgentOps & CrewAI 📋 Assignment Overview This project demonstrates the integration of **Observability** into an AI Agent system. By instrumenting a **CrewAI** multi-agent setup with **AgentOps**, this repository enables real-time tracking of agent performance, token usage, costs, and execution traces. 🛠 Tech Stack - **Orchestration:** $1 - **Observability:** $1 - **Model:** GPT-4o- Capability contract not published. No trust telemetry is available yet. Last updated 5/19/2026.

Freshness

Last checked 5/19/2026

Best For

Observability-for-AI-Agents is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 66/100

Observability-for-AI-Agents

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

May 19, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/19/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 19, 2026

Vendor

Ahmedal Yazuri

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 5/19/2026.

View Source

Setup snapshot

git clone https://github.com/AhmedAl-Yazuri/Observability-for-AI-Agents.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Ahmedal Yazuri

profilemedium

Observed May 12, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed May 12, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

Examples

Snippets

Languages

python

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

🕵️‍♂️ AI Agent Observability with AgentOps & CrewAI

📋 Assignment Overview

This project demonstrates the integration of Observability into an AI Agent system. By instrumenting a CrewAI multi-agent setup with AgentOps, this repository enables real-time tracking of agent performance, token usage, costs, and execution traces.

🛠 Tech Stack

Orchestration: CrewAI
Observability: AgentOps
Model: GPT-4o-mini (Optimized for cost efficiency)
Language: Python 3.10+

📝 Tool Selection & Justification

Selected Tool: AgentOps

Why AgentOps?

For this assignment, I selected AgentOps over alternatives like Langfuse or Arize Phoenix for the following reasons:

Native Integration: AgentOps offers a first-class integration with CrewAI. As seen in the code, initialization requires only 2 lines of code (agentops.init), allowing for instant instrumentation without rewriting agent logic.
Session Replay: Unlike standard loggers, AgentOps provides a visual "Replay" feature. This is critical for identifying exactly where an agent stalled or hallucinated during a multi-step chain.
Cost Transparency: It automatically calculates session costs based on the specific LLM model used (gpt-4o-mini), which is essential for production-grade AI engineering.

🚀 Setup & Installation

Follow these steps to reproduce the observability environment.

1. Clone the Repository

git clone <your-repo-url>
cd "Observability for AI Agents"


2. Install Dependencies
pip install -r requirements.txt

3. Environment Configuration
Create a .env file in the root directory and add your API keys:
# .env
OPENAI_API_KEY=sk-proj-...
AGENTOPS_API_KEY=...

4. Run the Agent
python main.py

5.📂 Project Structure
├── .env                  # Environment variables (API Keys)
├── main.py               # Entry point containing CrewAI + AgentOps logic
├── requirements.txt      # Python dependencies
└── README.md             # Documentation & Assignment Report

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

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activepieces

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OPENCLAW

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AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW

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AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

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CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW

Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T02:28:36.797Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "label": "Vendor",
    "value": "Ahmedal Yazuri",
    "category": "vendor",
    "href": "https://github.com/AhmedAl-Yazuri/Observability-for-AI-Agents",
    "sourceUrl": "https://github.com/AhmedAl-Yazuri/Observability-for-AI-Agents",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-12T06:46:14.689Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-12T06:46:14.689Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ahmedal-yazuri-observability-for-ai-agents/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true,
    "metadata": {}
  }
]