mirror of
https://github.com/magnus919/agent-skills.git
synced 2026-09-12 12:06:29 +03:00
Magnus Hedemark
3e86349539
Comprehensive skill covering: - Core architecture (7 primitives, Settings, data flow) - RAG strategies (basic through advanced with hybrid retrieval, reranking) - Multi-agent orchestration (AgentWorkflow, handoff bug fix) - Event-driven workflows (durable execution, checkpoint/resume) - Production deployment (llama-deploy, debugging, observability) - PropertyGraphIndex (knowledge graphs, hybrid retrieval) - Evaluation and span-attached observability - Integration ecosystem (vector stores, LlamaHub, LlamaParse) 9 reference files, 4 templates, 1 verification script. MIT licensed. 100% AI agent portable (no platform-specific content). Signed-off-by: Magnus Hedemark <magnus919@pm.me>
88 lines
2.3 KiB
Python
88 lines
2.3 KiB
Python
#!/usr/bin/env python3
|
|
"""
|
|
Verify that LlamaIndex is installed and can create a basic index.
|
|
Run this script to check your setup before building applications.
|
|
"""
|
|
|
|
import sys
|
|
import importlib
|
|
|
|
REQUIRED_PACKAGES = [
|
|
"llama_index",
|
|
"llama_index.core",
|
|
]
|
|
|
|
OPTIONAL_PACKAGES = [
|
|
"llama_index.llms.openai",
|
|
"llama_index.vector_stores.qdrant",
|
|
"llama_index.embeddings.openai",
|
|
"llama_parse",
|
|
"llama_deploy",
|
|
]
|
|
|
|
|
|
def check_package(name: str, required: bool = True) -> bool:
|
|
"""Check if a package is importable."""
|
|
try:
|
|
importlib.import_module(name)
|
|
print(f" [OK] {name}")
|
|
return True
|
|
except ImportError:
|
|
status = "REQUIRED" if required else "optional"
|
|
print(f" [MISSING] {name} ({status})")
|
|
return not required
|
|
|
|
|
|
def main():
|
|
print("LlamaIndex Setup Check")
|
|
print("=" * 40)
|
|
|
|
# Python version
|
|
print(f"\nPython: {sys.version}")
|
|
if sys.version_info < (3, 9):
|
|
print(" [FAIL] Python 3.9+ required")
|
|
sys.exit(1)
|
|
|
|
# Core packages
|
|
print("\nCore:")
|
|
all_ok = all(check_package(pkg, required=True) for pkg in REQUIRED_PACKAGES)
|
|
|
|
# Optional packages
|
|
print("\nOptional:")
|
|
for pkg in OPTIONAL_PACKAGES:
|
|
check_package(pkg, required=False)
|
|
|
|
# Test basic functionality
|
|
print("\nFunctionality test:")
|
|
try:
|
|
from llama_index.core import Document
|
|
from llama_index.core.node_parser import SentenceSplitter
|
|
|
|
doc = Document(text="Test document for LlamaIndex setup verification.")
|
|
parser = SentenceSplitter(chunk_size=256, chunk_overlap=20)
|
|
nodes = parser.get_nodes_from_documents([doc])
|
|
print(f" [OK] Document chunking works ({len(nodes)} nodes)")
|
|
|
|
# Test Settings
|
|
from llama_index.core import Settings
|
|
default_chunk = Settings.text_splitter
|
|
print(f" [OK] Settings accessible")
|
|
|
|
except Exception as e:
|
|
print(f" [FAIL] Basic functionality test failed: {e}")
|
|
all_ok = False
|
|
|
|
print("\n" + "=" * 40)
|
|
if all_ok:
|
|
print("Setup check: ALL REQUIRED PACKAGES OK")
|
|
else:
|
|
print("Setup check: SOME REQUIRED PACKAGES MISSING")
|
|
print("Install missing packages with:")
|
|
print(" pip install llama-index-core")
|
|
print(" pip install llama-index-llms-openai")
|
|
sys.exit(1)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|