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TokioAI Engine -- CLI Entry Point
Usage:
python -m engine serve # Start OpenAI-compatible API server
python -m engine test # Run test suite
python -m engine bench # Benchmark pipeline
python -m engine chat # Interactive chat (for testing)
python -m engine stats # Show memory/pipeline stats
"""
import sys
import json
import time
import argparse
from .pipeline import Pipeline, EngineConfig
def cmd_serve(args):
"""Start the API server."""
from .server import create_app
from .pipeline import EngineConfig
config = EngineConfig(
ollama_host=args.ollama_host,
model_name=args.model,
max_retries=args.max_retries,
use_guided_gen=not args.no_guided,
use_memory=not args.no_memory,
verbose=args.verbose,
)
print(f"""
_____ _ _ _ ___
|_ _|__ | | _(_) ___ / \\ |_ _|
| |/ _ \\| |/ / |/ _ / _ \\ | |
| | (_) | <| | (_/ ___ \\ | |
|_|\\___/|_|\\_\\_|\\___/_/ \\_\\___|
___ _
| __| _ _ __ _(_) _ _ ___
| _| | ' \\/ _` | || ' \\/ -_)
|___||_||_\\__, |_||_||_\\___|
|___/ v3.0.0
Model: {config.model_name}
Ollama: {config.ollama_host}
Memory: {'ON' if config.use_memory else 'OFF'}
Guided: {'ON' if config.use_guided_gen else 'OFF'}
Retries: {config.max_retries}
API: http://{args.host}:{args.port}/v1/chat/completions
Health: http://{args.host}:{args.port}/health
Stats: http://{args.host}:{args.port}/stats
""")
app = create_app(config)
app.run(host=args.host, port=args.port, debug=False)
def cmd_chat(args):
"""Interactive chat for testing the pipeline."""
config = EngineConfig(
ollama_host=args.ollama_host,
model_name=args.model,
verbose=args.verbose,
)
engine = Pipeline(config)
print(f"\n[TokioAI Engine] Connected to {config.ollama_host} / {config.model_name}")
print("[TokioAI Engine] Type 'quit' to exit, 'stats' for stats, 'reset' to clear history\n")
while True:
try:
user_input = input("\033[36myou>\033[0m ")
except (EOFError, KeyboardInterrupt):
print("\nbye.")
break
if not user_input.strip():
continue
if user_input.strip().lower() == "quit":
break
if user_input.strip().lower() == "stats":
print(json.dumps(engine.get_stats(), indent=2))
continue
if user_input.strip().lower() == "reset":
engine.reset()
print("[reset]")
continue
result = engine.process(user_input)
# Display result
print(f"\033[33m[{result.intent}|{result.confidence:.1f}|{result.attempts}att|{result.latency_ms}ms]\033[0m")
if result.output_type == "tool_call":
for tc in result.tool_calls:
print(f"\033[32m>>> TOOL: {tc['name']}({json.dumps(tc['arguments'])})\033[0m")
else:
print(f"\033[37m{result.text}\033[0m")
print()
def cmd_test(args):
"""Run the test suite."""
from .test_engine import run_tests
run_tests(verbose=args.verbose, ollama_host=args.ollama_host, model=args.model)
def cmd_bench(args):
"""Benchmark the pipeline."""
config = EngineConfig(
ollama_host=args.ollama_host,
model_name=args.model,
verbose=False,
)
engine = Pipeline(config)
test_prompts = [
("check disk space", "tool_call"),
("what is docker", "text"),
("read /etc/hostname", "tool_call"),
("hi", "text"),
("find all python files with TODO", "tool_call"),
("explain SQL injection", "text"),
("is docker running", "tool_call"),
("list processes by memory usage", "tool_call"),
("what is the TCP 3-way handshake", "text"),
("scan ports on localhost", "tool_call"),
]
print(f"\n[BENCH] Running {len(test_prompts)} prompts against {config.model_name}...\n")
results = []
for prompt, expected in test_prompts:
start = time.time()
result = engine.process(prompt)
elapsed = int((time.time() - start) * 1000)
correct = (
(expected == "tool_call" and result.output_type == "tool_call") or
(expected == "text" and result.output_type == "text")
)
status = "\033[32mPASS\033[0m" if correct else "\033[31mFAIL\033[0m"
detail = ""
if result.output_type == "tool_call" and result.tool_calls:
detail = f"-> {result.tool_calls[0]['name']}"
elif result.output_type == "text":
detail = f"-> text ({len(result.text)} chars)"
print(f" {status} [{elapsed:4d}ms] [{result.intent:9s}] {prompt:40s} {detail}")
results.append(correct)
engine.reset() # Reset between tests
passed = sum(results)
total = len(results)
print(f"\n[BENCH] {passed}/{total} correct ({100*passed//total}%)")
print(f"[BENCH] Stats: {json.dumps(engine.get_stats(), indent=2)}")
def cmd_stats(args):
"""Show memory and pipeline stats."""
from .memory import EngineMemory
mem = EngineMemory()
print(json.dumps(mem.get_stats(), indent=2))
def main():
parser = argparse.ArgumentParser(description="TokioAI Engine")
parser.add_argument("--ollama-host", default=None, help="Ollama API URL")
parser.add_argument("--model", default="tokioai-coder", help="Model name")
parser.add_argument("-v", "--verbose", action="store_true")
subparsers = parser.add_subparsers(dest="command")
# serve
serve_parser = subparsers.add_parser("serve", help="Start API server")
serve_parser.add_argument("--host", default="0.0.0.0", help="Bind address")
serve_parser.add_argument("--port", type=int, default=8080, help="Port")
serve_parser.add_argument("--ollama-host", default=None, help="Ollama API URL")
serve_parser.add_argument("--model", default="tokioai-coder", help="Model name")
serve_parser.add_argument("--no-memory", action="store_true", help="Disable memory")
serve_parser.add_argument("--no-guided", action="store_true", help="Disable guided gen")
serve_parser.add_argument("--max-retries", type=int, default=2, help="Max retries")
serve_parser.add_argument("-v", "--verbose", action="store_true")
# chat
chat_parser = subparsers.add_parser("chat", help="Interactive chat")
# test
test_parser = subparsers.add_parser("test", help="Run tests")
# bench
bench_parser = subparsers.add_parser("bench", help="Benchmark")
# stats
stats_parser = subparsers.add_parser("stats", help="Show stats")
# Add common args to all subparsers that need them
for sp in [chat_parser, test_parser, bench_parser]:
sp.add_argument("--ollama-host", default=None, help="Ollama API URL")
sp.add_argument("--model", default="tokioai-coder", help="Model name")
sp.add_argument("-v", "--verbose", action="store_true")
args = parser.parse_args()
if args.command == "serve":
cmd_serve(args)
elif args.command == "chat":
cmd_chat(args)
elif args.command == "test":
cmd_test(args)
elif args.command == "bench":
cmd_bench(args)
elif args.command == "stats":
cmd_stats(args)
else:
parser.print_help()
if __name__ == "__main__":
main()
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