aethershell 0.3.1

The world's first multi-agent shell with typed functional pipelines and multi-modal AI
Documentation 
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# Example 13: AI Backend Auto-Detection
# Demonstrates automatic detection and selection of available AI backends
# Supports: Ollama, vLLM, llama.cpp, TGI, OpenAI

print("=== AI Backend Auto-Detection ===")
print("")

# 1. Detect all available backends
print("Detecting available AI backends...")
let backends = ai_backends()
print("Found " + len(backends) + " backend(s)")
print("")

# 2. Extract and display backend information
let backend_names = backends | map(fn(b) => b.name)
print("Backend names:")
print(backend_names)
print("")

let backend_endpoints = backends | map(fn(b) => b.endpoint)
print("Backend endpoints:")
print(backend_endpoints)
print("")

# 3. Get model counts for each backend
let model_counts = backends | map(fn(b) => len(b.models))
print("Models per backend:")
print(model_counts)
print("")

# 4. Auto-select the best available backend
print("=== Auto-Selection ===")
let auto_backend = ai_detect()
print("Auto-selected backend: " + auto_backend)
print("")

# 5. Filter backends by provider
print("=== Backend Filtering ===")
let ollama_filtered = backends | where(fn(b) => b.provider == "Ollama")
print("Ollama backends: " + len(ollama_filtered))

let openai_filtered = backends | where(fn(b) => b.provider == "OpenAI")
print("OpenAI backends: " + len(openai_filtered))
print("")

# 6. Usage patterns
print("=== Usage Patterns ===")
print("")
print("1. Auto-detect and use:")
print("   backend = ai_detect()")
print("   ai(backend, \"your prompt\")")
print("")
print("2. Filter by provider:")
print("   ollama = ai_backends() | where(fn(b) => b.provider == \"Ollama\")")
print("")
print("3. Get backend names:")
print("   names = ai_backends() | map(fn(b) => b.name)")
print("")
print("4. Environment variable:")
print("   Set AETHER_AI=auto to use auto-detection globally")
print("")
print("Detection priority: Ollama > vLLM > llama.cpp > TGI > OpenAI")
print("✓ Auto-detection demo complete!")