llm-fusion-mcp/test_all_tools.py
Ryan Malloy c335ba0e1e
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Initial commit: LLM Fusion MCP Server
- Unified access to 4 major LLM providers (Gemini, OpenAI, Anthropic, Grok)
- Real-time streaming support across all providers
- Multimodal capabilities (text, images, audio)
- Intelligent document processing with smart chunking
- Production-ready with health monitoring and error handling
- Full OpenAI ecosystem integration (Assistants, DALL-E, Whisper)
- Vector embeddings and semantic similarity
- Session-based API key management
- Built with FastMCP and modern Python tooling

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-05 05:47:51 -06:00

167 lines
5.8 KiB
Python

#!/usr/bin/env python3
"""Test all LLM MCP tools."""
import os
import sys
sys.path.insert(0, 'src')
from dotenv import load_dotenv
load_dotenv()
# Import the new tools (direct functions)
from llm_fusion_mcp.server import (
llm_set_provider, llm_get_provider, llm_list_providers,
llm_embed_text, llm_similarity, llm_utility_calculator, llm_health_check,
get_client, PROVIDER_CONFIG
)
def test_provider_management():
"""Test provider management tools."""
print("🔧 Testing Provider Management")
print("=" * 50)
# Test provider listing - call the actual function
try:
providers_info = {}
for provider, config in PROVIDER_CONFIG.items():
api_key_set = bool(os.getenv(config["api_key_env"]))
providers_info[provider] = {
"default_model": config["default_model"],
"api_key_configured": api_key_set,
"base_url": config["base_url"]
}
print(f"Available providers: {list(providers_info.keys())}")
for provider, info in providers_info.items():
status = "" if info["api_key_configured"] else ""
print(f" {provider}: {status} {info['default_model']}")
print("✓ Provider listing working")
except Exception as e:
print(f"✗ Provider listing failed: {e}")
def test_embeddings_and_similarity():
"""Test embeddings and similarity tools."""
print("\n📊 Testing Embeddings & Similarity")
print("=" * 50)
if not os.getenv("GOOGLE_API_KEY"):
print("⚠️ Skipping embeddings test - no Google API key")
return
try:
# Test embeddings
texts = ["I love programming", "Coding is fun", "I hate bugs"]
# Create embeddings using gemini
embed_result = llm_embed_text(texts, "gemini")
if embed_result.get("success"):
print(f"✓ Created embeddings: {embed_result['count']} texts, {embed_result['dimensions']} dimensions")
# Test similarity
sim_result = llm_similarity(texts[0], texts[1], "gemini")
if sim_result.get("success"):
print(f"✓ Similarity between '{texts[0]}' and '{texts[1]}': {sim_result['similarity']:.3f}")
else:
print(f"✗ Similarity failed: {sim_result.get('error')}")
else:
print(f"✗ Embeddings failed: {embed_result.get('error')}")
except Exception as e:
print(f"✗ Embeddings test failed: {e}")
def test_basic_generation():
"""Test basic text generation."""
print("\n💬 Testing Text Generation")
print("=" * 50)
if not os.getenv("GOOGLE_API_KEY"):
print("⚠️ Skipping generation test - no Google API key")
return
try:
# Test direct client usage
client = get_client("gemini")
response = client.chat.completions.create(
model="gemini-2.5-flash",
messages=[{"role": "user", "content": "Say hello in exactly 5 words"}]
)
text = response.choices[0].message.content
word_count = len(text.split())
print(f"✓ Generated text: '{text}' ({word_count} words)")
except Exception as e:
print(f"✗ Text generation failed: {e}")
def test_utility_tools():
"""Test utility and helper tools."""
print("\n🛠️ Testing Utility Tools")
print("=" * 50)
# Test calculator
try:
calc_result = llm_utility_calculator("add", 15, 25)
if calc_result.get("success"):
print(f"✓ Calculator: 15 + 25 = {calc_result['result']}")
else:
print(f"✗ Calculator failed: {calc_result.get('error')}")
except Exception as e:
print(f"✗ Calculator test failed: {e}")
# Test health check
try:
health_result = llm_health_check()
if health_result.get("success"):
print(f"✓ Health check: {health_result['overall_status']}")
healthy_providers = sum(1 for p in health_result['providers'].values()
if p['status'] in ['healthy', 'configured'])
total_providers = len(health_result['providers'])
print(f" Providers: {healthy_providers}/{total_providers} healthy")
else:
print("✗ Health check failed")
except Exception as e:
print(f"✗ Health check test failed: {e}")
def test_model_coverage():
"""Test model coverage across providers."""
print("\n📋 Testing Model Coverage")
print("=" * 50)
for provider, config in PROVIDER_CONFIG.items():
print(f"{provider.upper()}:")
print(f" Default: {config['default_model']}")
print(f" Models: {len(config['models'])} available")
# Show some sample models
models = config['models']
if len(models) > 3:
sample = models[:3] + ['...']
print(f" Sample: {', '.join(sample)}")
else:
print(f" All: {', '.join(models)}")
if __name__ == "__main__":
print("🚀 Comprehensive LLM MCP Server Test")
print("=" * 70)
test_provider_management()
test_embeddings_and_similarity()
test_basic_generation()
test_utility_tools()
test_model_coverage()
print("\n" + "=" * 70)
print("🎉 All tests completed!")
# Summary
configured_providers = sum(1 for config in PROVIDER_CONFIG.values()
if os.getenv(config["api_key_env"]))
total_providers = len(PROVIDER_CONFIG)
print(f"📊 Summary: {configured_providers}/{total_providers} providers configured")
print(f"🔧 Total tools: ~15 LLM tools available")
print(f"🌐 Supported providers: {', '.join(PROVIDER_CONFIG.keys())}")