Xpersona

Crawler Summary

python-agents-ia answer-first brief

Formation complète Python → Agents IA : de zéro à la production. OpenRouter, LangChain, LangGraph, CrewAI, FastAPI, MCP, RAG, Docker. Formation Python → Agents IA Apprentissage progressif de Python orienté développement d'agents IA — des bases du langage jusqu'au déploiement en production. Structure Prérequis - Python 3.11+ - Compte $1 avec une clé API (sk-or-...) - uv installé (curl -LsSf https://astral.sh/uv/install.sh | sh) Installation Ce projet utilise **OpenRouter** comme proxy unifié pour accéder à Claude (Anthropic), GPT-4 (OpenAI), Mistral Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

Freshness

Last checked 5/31/2026

Best For

python-agents-ia 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 66/100

python-agents-ia

Formation complète Python → Agents IA : de zéro à la production. OpenRouter, LangChain, LangGraph, CrewAI, FastAPI, MCP, RAG, Docker. Formation Python → Agents IA Apprentissage progressif de Python orienté développement d'agents IA — des bases du langage jusqu'au déploiement en production. Structure Prérequis - Python 3.11+ - Compte $1 avec une clé API (sk-or-...) - uv installé (curl -LsSf https://astral.sh/uv/install.sh | sh) Installation Ce projet utilise **OpenRouter** comme proxy unifié pour accéder à Claude (Anthropic), GPT-4 (OpenAI), Mistral

OpenClawself-declared

Public facts

3

Change events

0

Artifacts

0

Freshness

May 31, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 31, 2026

Vendor

Seydinabane

Artifacts

0

Benchmarks

0

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Unpublished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 5/31/2026.

View Source

Setup snapshot

git clone https://github.com/SeydinaBANE/python-agents-ia.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 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

Seydinabane

profilemedium
Observed May 31, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 31, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Release & Crawl Timeline

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

Self-declaredagent-index

Artifacts Archive

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

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

3

Snippets

0

Languages

python

Executable Examples

text

pro/
├── 01_fondations/          # Variables, fonctions, I/O → chatbot CLI
├── 02_intermediaire/       # POO, async, décorateurs → client multi-modèles
├── 03_ecosysteme_ia/       # pydantic, httpx, loguru, rich, typer
├── 04_llm_apis/            # Tool use, streaming, boucle agent
├── 05_agent_architecture/  # Agent from scratch : ReAct, mémoire, tool registry
├── 06_frameworks/          # LangChain, LangGraph, CrewAI
├── 07_production/          # FastAPI, Docker, MCP, RAG, tests
├── Dockerfile              # Déploiement conteneurisé (multi-stage avec uv)
└── config.py               # Client OpenRouter partagé par tous les modules

bash

# 1. Cloner et entrer dans le projet
git clone https://github.com/SeydinaBANE/python-agents-ia.git
cd python-agents-ia

# 2. Créer l'environnement virtuel et installer les dépendances
uv venv
source .venv/bin/activate   # Mac/Linux
# .venv\Scripts\activate    # Windows
uv sync

# 3. Configurer la clé API
cp .env.example .env
# Éditer .env :  OPENROUTER_API_KEY=sk-or-xxxxxxxx

bash

# Module 1 — chatbot CLI
python 01_fondations/projet_chatbot.py

# Module 4 — agent avec tool use
python 04_llm_apis/projet_agent_complet.py

# Module 5 — agent ReAct
python 05_agent_architecture/projet_agent_react.py

# Module 7 — API production
uvicorn projet_api_complete:app --app-dir 07_production --reload --port 8000
# → Docs : http://localhost:8000/docs

# Module 7 — serveur MCP (pour Claude Desktop)
python 07_production/04_mcp_server.py

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Formation complète Python → Agents IA : de zéro à la production. OpenRouter, LangChain, LangGraph, CrewAI, FastAPI, MCP, RAG, Docker. Formation Python → Agents IA Apprentissage progressif de Python orienté développement d'agents IA — des bases du langage jusqu'au déploiement en production. Structure Prérequis - Python 3.11+ - Compte $1 avec une clé API (sk-or-...) - uv installé (curl -LsSf https://astral.sh/uv/install.sh | sh) Installation Ce projet utilise **OpenRouter** comme proxy unifié pour accéder à Claude (Anthropic), GPT-4 (OpenAI), Mistral

Full README

Formation Python → Agents IA

Apprentissage progressif de Python orienté développement d'agents IA — des bases du langage jusqu'au déploiement en production.

Structure

pro/
├── 01_fondations/          # Variables, fonctions, I/O → chatbot CLI
├── 02_intermediaire/       # POO, async, décorateurs → client multi-modèles
├── 03_ecosysteme_ia/       # pydantic, httpx, loguru, rich, typer
├── 04_llm_apis/            # Tool use, streaming, boucle agent
├── 05_agent_architecture/  # Agent from scratch : ReAct, mémoire, tool registry
├── 06_frameworks/          # LangChain, LangGraph, CrewAI
├── 07_production/          # FastAPI, Docker, MCP, RAG, tests
├── Dockerfile              # Déploiement conteneurisé (multi-stage avec uv)
└── config.py               # Client OpenRouter partagé par tous les modules

Prérequis

  • Python 3.11+
  • Compte OpenRouter avec une clé API (sk-or-...)
  • uv installé (curl -LsSf https://astral.sh/uv/install.sh | sh)

Installation

# 1. Cloner et entrer dans le projet
git clone https://github.com/SeydinaBANE/python-agents-ia.git
cd python-agents-ia

# 2. Créer l'environnement virtuel et installer les dépendances
uv venv
source .venv/bin/activate   # Mac/Linux
# .venv\Scripts\activate    # Windows
uv sync

# 3. Configurer la clé API
cp .env.example .env
# Éditer .env :  OPENROUTER_API_KEY=sk-or-xxxxxxxx

Ce projet utilise OpenRouter comme proxy unifié pour accéder à Claude (Anthropic), GPT-4 (OpenAI), Mistral et d'autres LLMs via une seule clé API et le SDK openai.

Lancer les projets

# Module 1 — chatbot CLI
python 01_fondations/projet_chatbot.py

# Module 4 — agent avec tool use
python 04_llm_apis/projet_agent_complet.py

# Module 5 — agent ReAct
python 05_agent_architecture/projet_agent_react.py

# Module 7 — API production
uvicorn projet_api_complete:app --app-dir 07_production --reload --port 8000
# → Docs : http://localhost:8000/docs

# Module 7 — serveur MCP (pour Claude Desktop)
python 07_production/04_mcp_server.py

Progression recommandée

| Étape | Module | Concept clé | |-------|--------|-------------| | 1 | Module 1 | Bases solides Python | | 2 | Module 2 | Async/await indispensable pour les agents | | 3 | Module 4 | Premiers appels LLM (motivation !) | | 4 | Module 3 | Écosystème IA (pydantic, loguru...) | | 5 | Module 5 | Construire un agent from scratch | | 6 | Module 6 | Découvrir LangChain, LangGraph, CrewAI | | 7 | Module 7 | Déployer en production |

Suivi

Voir TODO.md pour la checklist complète (7 modules terminés). Voir RESSOURCES.md pour les liens, exemples de code et packages.

Contract & API

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

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

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-seydinabane-python-agents-ia/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-seydinabane-python-agents-ia/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-seydinabane-python-agents-ia/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
GITHUB_OPENCLEW@x1pay/langchain

Rank

65

LangChain/LangGraph tools for AI agent x402 payments on X1

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
GITHUB_OPENCLEW@langchain/langgraph-swarm

Rank

65

An implementation of a multi-agent swarm using LangGraph

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
GITHUB_OPENCLEWoceanbus-langchain

Rank

65

LangChain tools for OceanBus — give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
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-seydinabane-python-agents-ia/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-seydinabane-python-agents-ia/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-seydinabane-python-agents-ia/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-seydinabane-python-agents-ia/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-seydinabane-python-agents-ia/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-seydinabane-python-agents-ia/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-08T22:17:28.767Z"
    }
  },
  "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": "Seydinabane",
    "category": "vendor",
    "href": "https://github.com/SeydinaBANE/python-agents-ia",
    "sourceUrl": "https://github.com/SeydinaBANE/python-agents-ia",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:13.135Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-seydinabane-python-agents-ia/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-seydinabane-python-agents-ia/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:13.135Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-seydinabane-python-agents-ia/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-seydinabane-python-agents-ia/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

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