Compare commits
2 Commits
issue-514-
...
burn/659-1
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848640f9f0 | ||
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0fcef1839e |
@@ -1,443 +0,0 @@
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#!/usr/bin/env python3
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"""
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Model Fallback Verification Script
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Issue #514: [Robustness] Model fallback verification — test before trusting
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Tests model switches with verification prompts, validates context windows,
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and ensures at least one viable model is available before starting loops.
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Usage:
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python3 model-fallback-verify.py # Run full verification
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python3 model-fallback-verify.py check <model> # Test specific model
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python3 model-fallback-verify.py context <model> # Check context window
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python3 model-fallback-verify.py list # List available models
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"""
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import os, sys, json, yaml, urllib.request
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from datetime import datetime, timezone
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from pathlib import Path
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# Configuration
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HERMES_HOME = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes"))
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CONFIG_FILE = HERMES_HOME / "config.yaml"
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LOG_DIR = HERMES_HOME / "logs"
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LOG_FILE = LOG_DIR / "model-verify.log"
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MIN_CONTEXT_WINDOW = 64 * 1024 # 64K tokens minimum
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# Provider endpoints
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PROVIDER_CONFIGS = {
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"openrouter": {
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"base_url": "https://openrouter.ai/api/v1",
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"headers": lambda api_key: {"Authorization": "Bearer " + api_key},
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"chat_url": "/chat/completions",
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},
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"anthropic": {
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"base_url": "https://api.anthropic.com/v1",
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"headers": lambda api_key: {"x-api-key": api_key, "anthropic-version": "2023-06-01"},
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"chat_url": "/messages",
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},
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"nous": {
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"base_url": "https://inference.nousresearch.com/v1",
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"headers": lambda api_key: {"Authorization": "Bearer " + api_key},
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"chat_url": "/chat/completions",
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},
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"kimi-coding": {
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"base_url": "https://api.kimi.com/coding/v1",
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"headers": lambda api_key: {"x-api-key": api_key, "x-api-provider": "kimi-coding"},
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"chat_url": "/chat/completions",
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},
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"custom": {
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"base_url": None,
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"headers": lambda api_key: {"Authorization": "Bearer " + api_key},
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"chat_url": "/chat/completions",
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},
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}
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# Known context windows for common models
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KNOWN_CONTEXT_WINDOWS = {
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"claude-opus-4-6": 200000,
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"claude-sonnet-4": 200000,
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"claude-3.5-sonnet": 200000,
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"gpt-4o": 128000,
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"gpt-4": 128000,
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"gpt-3.5-turbo": 16385,
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"qwen3:30b": 32768,
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"qwen2.5:7b": 32768,
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"hermes4:14b": 32768,
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"gemma3:1b": 8192,
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"gemma4": 32768,
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"phi3:3.8b": 128000,
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"kimi-k2.5": 128000,
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"google/gemini-2.5-pro": 1048576,
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"xiaomi/mimo-v2-pro": 131072,
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"deepseek/deepseek-r1": 131072,
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"deepseek/deepseek-chat-v3-0324": 131072,
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}
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def log(msg):
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"""Log message to file and optionally to console."""
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timestamp = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
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log_entry = "[" + timestamp + "] " + msg
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LOG_DIR.mkdir(parents=True, exist_ok=True)
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with open(LOG_FILE, "a") as f:
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f.write(log_entry + "\n")
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if "--quiet" not in sys.argv:
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print(log_entry)
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def load_config():
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"""Load Hermes config.yaml."""
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if not CONFIG_FILE.exists():
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return None
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with open(CONFIG_FILE) as f:
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return yaml.safe_load(f)
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def get_provider_api_key(provider):
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"""Get API key for a provider from .env or environment."""
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env_file = HERMES_HOME / ".env"
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if env_file.exists():
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with open(env_file) as f:
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for line in f:
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line = line.strip()
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if line.startswith(provider.upper() + "_API_KEY="):
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return line.split("=", 1)[1].strip().strip("'\"")
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return os.environ.get(provider.upper() + "_API_KEY")
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def get_ollama_models():
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"""Get list of available Ollama models."""
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ollama_host = os.environ.get("OLLAMA_HOST", "localhost:11434")
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try:
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resp = urllib.request.urlopen("http://" + ollama_host + "/api/tags", timeout=5)
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data = json.loads(resp.read())
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return [m["name"] for m in data.get("models", [])]
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except:
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return []
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def test_model(model, provider, api_key=None, base_url=None):
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"""
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Test a model with a verification prompt.
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Returns (success, response, error_message)
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"""
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if provider == "ollama" or ":" in model:
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# Local Ollama model
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ollama_host = os.environ.get("OLLAMA_HOST", "localhost:11434")
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try:
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body = json.dumps({
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"model": model,
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"prompt": "Say exactly VERIFIED and nothing else.",
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"stream": False,
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"options": {"num_predict": 10}
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}).encode()
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req = urllib.request.Request(
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"http://" + ollama_host + "/api/generate",
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data=body,
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headers={"Content-Type": "application/json"}
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)
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resp = urllib.request.urlopen(req, timeout=30)
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result = json.loads(resp.read())
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response_text = result.get("response", "").strip()
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if "VERIFIED" in response_text.upper():
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return True, response_text, None
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return False, response_text, "Unexpected response: " + response_text[:100]
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except Exception as e:
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return False, "", "Ollama error: " + str(e)[:200]
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# Cloud provider
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config = PROVIDER_CONFIGS.get(provider)
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if not config:
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return False, "", "Unknown provider: " + provider
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url = base_url or config["base_url"]
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if not url:
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return False, "", "No base URL for provider: " + provider
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headers = config["headers"](api_key or "")
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headers["Content-Type"] = "application/json"
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try:
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body = json.dumps({
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"model": model,
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"max_tokens": 20,
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"messages": [{"role": "user", "content": "Say exactly VERIFIED and nothing else."}]
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}).encode()
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req = urllib.request.Request(
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url + config["chat_url"],
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data=body,
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headers=headers
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)
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resp = urllib.request.urlopen(req, timeout=30)
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result = json.loads(resp.read())
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if provider == "anthropic":
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content = result.get("content", [{}])[0].get("text", "")
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else:
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choices = result.get("choices", [{}])
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content = choices[0].get("message", {}).get("content", "") if choices else ""
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if "VERIFIED" in content.upper():
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return True, content, None
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return False, content, "Unexpected response: " + content[:100]
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except urllib.error.HTTPError as e:
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error_body = e.read().decode() if e.fp else str(e)
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if e.code == 404:
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return False, "", "Model not found (404): " + error_body[:200]
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elif e.code == 429:
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return True, "", "Rate limited but model exists"
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elif e.code >= 500:
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return False, "", "Server error (" + str(e.code) + "): " + error_body[:200]
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else:
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return False, "", "HTTP " + str(e.code) + ": " + error_body[:200]
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except Exception as e:
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return False, "", "Request error: " + str(e)[:200]
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def get_context_window(model, provider):
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"""
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Get the context window size for a model.
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Returns (window_size, source)
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"""
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if model in KNOWN_CONTEXT_WINDOWS:
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return KNOWN_CONTEXT_WINDOWS[model], "known"
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model_lower = model.lower()
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if "claude" in model_lower:
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return 200000, "inferred (claude)"
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elif "gpt-4" in model_lower:
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return 128000, "inferred (gpt-4)"
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elif "gemini" in model_lower:
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return 1048576, "inferred (gemini)"
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elif "qwen" in model_lower:
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return 32768, "inferred (qwen)"
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elif "gemma" in model_lower:
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return 8192, "inferred (gemma)"
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elif "phi" in model_lower:
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return 128000, "inferred (phi)"
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return 32768, "default"
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def verify_model(model, provider, api_key=None, base_url=None):
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"""
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Full verification of a model: test prompt + context window.
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Returns dict with verification results.
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"""
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result = {
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"model": model,
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"provider": provider,
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"tested": False,
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"responded": False,
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"response": "",
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"error": None,
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"context_window": 0,
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"context_source": "unknown",
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"meets_minimum": False,
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"viable": False,
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}
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success, response, error = test_model(model, provider, api_key, base_url)
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result["tested"] = True
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result["responded"] = success
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result["response"] = response[:200] if response else ""
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result["error"] = error
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window, source = get_context_window(model, provider)
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result["context_window"] = window
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result["context_source"] = source
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result["meets_minimum"] = window >= MIN_CONTEXT_WINDOW
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result["viable"] = success and result["meets_minimum"]
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return result
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def get_fallback_chain(config):
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"""Get the fallback chain from config or defaults."""
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chain = []
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model_config = config.get("model", {})
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if isinstance(model_config, dict):
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primary = model_config.get("default", "")
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provider = model_config.get("provider", "")
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if primary and provider:
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chain.append({"model": primary, "provider": provider, "role": "primary"})
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elif model_config:
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chain.append({"model": str(model_config), "provider": "unknown", "role": "primary"})
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auxiliary = config.get("auxiliary", {})
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for aux_name, aux_config in auxiliary.items():
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if isinstance(aux_config, dict):
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aux_model = aux_config.get("model", "")
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aux_provider = aux_config.get("provider", "")
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if aux_model and aux_provider and aux_provider != "auto":
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chain.append({"model": aux_model, "provider": aux_provider, "role": "auxiliary:" + aux_name})
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ollama_models = get_ollama_models()
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for model in ollama_models[:3]:
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if not any(c["model"] == model for c in chain):
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chain.append({"model": model, "provider": "ollama", "role": "local-fallback"})
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return chain
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def run_verification():
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"""Run full model fallback verification."""
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log("=== Model Fallback Verification ===")
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config = load_config()
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if not config:
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log("ERROR: No config.yaml found")
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return {"success": False, "error": "No config file"}
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chain = get_fallback_chain(config)
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if not chain:
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log("ERROR: No models configured")
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return {"success": False, "error": "No models in chain"}
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results = []
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viable_models = []
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for entry in chain:
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model = entry["model"]
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provider = entry["provider"]
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role = entry["role"]
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api_key = get_provider_api_key(provider) if provider != "ollama" else None
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base_url = None
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if provider == "custom":
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provider_config = config.get("auxiliary", {}).get("vision", {})
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base_url = provider_config.get("base_url")
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log("Testing [" + role + "] " + model + " (" + provider + ")...")
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result = verify_model(model, provider, api_key, base_url)
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result["role"] = role
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results.append(result)
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status = "PASS" if result["viable"] else "FAIL"
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details = []
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if not result["responded"]:
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details.append("no response: " + str(result["error"]))
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if not result["meets_minimum"]:
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details.append("context " + str(result["context_window"]) + " < " + str(MIN_CONTEXT_WINDOW))
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log(" [" + status + "] " + model + " - " + (", ".join(details) if details else "verified"))
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if result["viable"]:
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viable_models.append(result)
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log("=== Results: " + str(len(viable_models)) + "/" + str(len(results)) + " models viable ===")
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if not viable_models:
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log("CRITICAL: No viable models found!")
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for r in results:
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log(" - " + r["model"] + " (" + r["provider"] + "): responded=" + str(r["responded"]) + ", context=" + str(r["context_window"]))
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return {"success": False, "results": results, "viable": []}
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log("Viable models (in priority order):")
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for i, r in enumerate(viable_models, 1):
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log(" " + str(i) + ". " + r["model"] + " (" + r["provider"] + ") - context: " + str(r["context_window"]) + " tokens [" + r["role"] + "]")
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return {
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"success": True,
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"results": results,
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"viable": viable_models,
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"primary": viable_models[0] if viable_models else None,
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}
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def check_single_model(model):
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"""Check a specific model."""
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if ":" in model:
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provider = "ollama"
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elif "/" in model:
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provider = "openrouter"
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else:
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provider = "unknown"
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config = load_config() or {}
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api_key = get_provider_api_key(provider) if provider != "ollama" else None
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result = verify_model(model, provider, api_key)
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if result["viable"]:
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print("PASS: " + model)
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print(" Context window: " + str(result["context_window"]) + " tokens")
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print(" Response: " + result["response"][:100])
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else:
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print("FAIL: " + model)
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if result["error"]:
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print(" Error: " + str(result["error"]))
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if not result["meets_minimum"]:
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print(" Context window: " + str(result["context_window"]) + " < " + str(MIN_CONTEXT_WINDOW) + " minimum")
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return result["viable"]
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def check_context_window(model):
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"""Check context window for a model."""
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if ":" in model:
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provider = "ollama"
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elif "/" in model:
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provider = "openrouter"
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else:
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provider = "unknown"
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window, source = get_context_window(model, provider)
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meets = window >= MIN_CONTEXT_WINDOW
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print("Model: " + model)
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print("Provider: " + provider)
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print("Context window: " + str(window) + " tokens (" + source + ")")
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print("Minimum (" + str(MIN_CONTEXT_WINDOW) + "): " + ("PASS" if meets else "FAIL"))
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return meets
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def list_models():
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"""List all available models."""
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config = load_config() or {}
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chain = get_fallback_chain(config)
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print("Configured models:")
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for entry in chain:
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print(" " + entry["model"].ljust(30) + " " + entry["provider"].ljust(15) + " [" + entry["role"] + "]")
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ollama = get_ollama_models()
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if ollama:
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print("")
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print("Ollama models:")
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for m in ollama:
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print(" " + m)
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def main():
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if len(sys.argv) < 2:
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result = run_verification()
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sys.exit(0 if result["success"] else 1)
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cmd = sys.argv[1]
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if cmd == "check" and len(sys.argv) > 2:
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model = sys.argv[2]
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success = check_single_model(model)
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sys.exit(0 if success else 1)
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|
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elif cmd == "context" and len(sys.argv) > 2:
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model = sys.argv[2]
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meets = check_context_window(model)
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sys.exit(0 if meets else 1)
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|
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elif cmd == "list":
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list_models()
|
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|
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elif cmd == "test":
|
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result = run_verification()
|
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sys.exit(0 if result["success"] else 1)
|
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|
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else:
|
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print("Usage:")
|
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print(" model-fallback-verify.py Run full verification")
|
||||
print(" model-fallback-verify.py check <model> Test specific model")
|
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print(" model-fallback-verify.py context <model> Check context window")
|
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print(" model-fallback-verify.py list List available models")
|
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sys.exit(1)
|
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|
||||
if __name__ == "__main__":
|
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main()
|
||||
@@ -1,4 +1,3 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Full Nostr agent-to-agent communication demo - FINAL WORKING
|
||||
"""
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Soul Eval Gate — The Conscience of the Training Pipeline
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
#!/usr/bin/env python3
|
||||
import json
|
||||
from hermes_tools import browser_navigate, browser_vision
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
#!/usr/bin/env python3
|
||||
import json
|
||||
from hermes_tools import browser_navigate, browser_vision
|
||||
|
||||
|
||||
362
scripts/pr_triage.py
Executable file
362
scripts/pr_triage.py
Executable file
@@ -0,0 +1,362 @@
|
||||
#!/usr/bin/env python3
|
||||
"""PR Triage Automation -- Categorize, deduplicate, report, auto-merge (#659).
|
||||
|
||||
Enhancements over base implementation:
|
||||
- Auto-merge for safe PRs (training data with passing tests)
|
||||
- --all-repos flag for org-wide triage
|
||||
- JSON output with structured data
|
||||
- Age-based risk scoring
|
||||
- Better duplicate detection (title similarity)
|
||||
- Tests in tests/test_pr_triage.py
|
||||
|
||||
Usage:
|
||||
python scripts/pr_triage.py --repo hermes-agent
|
||||
python scripts/pr_triage.py --repo hermes-agent --json
|
||||
python scripts/pr_triage.py --repo hermes-agent --auto-merge --dry-run
|
||||
python scripts/pr_triage.py --all-repos --owner Timmy_Foundation
|
||||
"""
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import sys
|
||||
import subprocess
|
||||
from collections import Counter, defaultdict
|
||||
from datetime import datetime, timezone
|
||||
from difflib import SequenceMatcher
|
||||
from urllib.request import Request, urlopen
|
||||
from urllib.error import HTTPError
|
||||
|
||||
|
||||
def _token():
|
||||
t = os.environ.get("GITEA_TOKEN", "")
|
||||
if not t:
|
||||
p = os.path.expanduser("~/.config/gitea/token")
|
||||
if os.path.exists(p):
|
||||
t = open(p).read().strip()
|
||||
return t
|
||||
|
||||
|
||||
def _api(url, token, method="GET", data=None):
|
||||
h = {"Authorization": "token " + token, "Accept": "application/json"}
|
||||
body = json.dumps(data).encode() if data else None
|
||||
if data:
|
||||
h["Content-Type"] = "application/json"
|
||||
req = Request(url, data=body, headers=h, method=method)
|
||||
try:
|
||||
return json.loads(urlopen(req, timeout=30).read())
|
||||
except HTTPError:
|
||||
return None
|
||||
|
||||
|
||||
def fetch_prs(base, token, owner, repo):
|
||||
prs, page = [], 1
|
||||
while True:
|
||||
b = _api(f"{base}/api/v1/repos/{owner}/{repo}/pulls?state=open&limit=50&page={page}", token)
|
||||
if not b:
|
||||
break
|
||||
prs.extend(b)
|
||||
if len(b) < 50:
|
||||
break
|
||||
page += 1
|
||||
return prs
|
||||
|
||||
|
||||
def fetch_issues(base, token, owner, repo):
|
||||
iss, page = {}, 1
|
||||
while True:
|
||||
b = _api(f"{base}/api/v1/repos/{owner}/{repo}/issues?state=open&limit=50&page={page}", token)
|
||||
if not b:
|
||||
break
|
||||
for i in b:
|
||||
if "pull_request" not in i:
|
||||
iss[i["number"]] = i
|
||||
if len(b) < 50:
|
||||
break
|
||||
page += 1
|
||||
return iss
|
||||
|
||||
|
||||
def fetch_repos(base, token, owner):
|
||||
repos, page = [], 1
|
||||
while True:
|
||||
b = _api(f"{base}/api/v1/orgs/{owner}/repos?limit=50&page={page}", token)
|
||||
if not b:
|
||||
break
|
||||
repos.extend([r["name"] for r in b])
|
||||
if len(b) < 50:
|
||||
break
|
||||
page += 1
|
||||
return repos
|
||||
|
||||
|
||||
def categorize(pr):
|
||||
c = (pr.get("title", "") + " " + pr.get("body", "") + " " +
|
||||
" ".join(l.get("name", "") for l in pr.get("labels", []))).lower()
|
||||
for kw, cat in [
|
||||
("training data", "training-data"), ("dpo", "training-data"), ("grpo", "training-data"),
|
||||
("fix:", "bug-fix"), ("bug", "bug-fix"), ("hotfix", "bug-fix"),
|
||||
("feat:", "feature"), ("feature", "feature"), ("enhancement", "feature"),
|
||||
("refactor", "maintenance"), ("cleanup", "maintenance"), ("chore:", "maintenance"),
|
||||
("doc", "documentation"), ("test", "testing"), ("ci", "infrastructure"),
|
||||
("infra", "infrastructure"), ("deploy", "infrastructure"),
|
||||
]:
|
||||
if kw in c:
|
||||
return cat
|
||||
return "other"
|
||||
|
||||
|
||||
def refs(pr):
|
||||
return [int(m) for m in re.findall(r"#(\d+)", pr.get("title", "") + " " + pr.get("body", ""))]
|
||||
|
||||
|
||||
def find_duplicates(prs):
|
||||
by_ref = defaultdict(list)
|
||||
for p in prs:
|
||||
for r in refs(p):
|
||||
by_ref[r].append(p)
|
||||
|
||||
by_title = defaultdict(list)
|
||||
for p in prs:
|
||||
# Normalize title for comparison
|
||||
norm = re.sub(r"^(fix|feat|chore|docs|test|refactor)[\(:].*?[\):]\s*", "", p.get("title", "").lower())
|
||||
norm = re.sub(r"#\d+", "", norm).strip()
|
||||
by_title[norm].append(p)
|
||||
|
||||
dup_groups = []
|
||||
seen = set()
|
||||
|
||||
# Ref-based duplicates
|
||||
for r, group in by_ref.items():
|
||||
if len(group) > 1:
|
||||
key = tuple(sorted(p["number"] for p in group))
|
||||
if key not in seen:
|
||||
seen.add(key)
|
||||
dup_groups.append({"type": "ref", "ref": r, "prs": group})
|
||||
|
||||
# Title-similarity duplicates (threshold 0.85)
|
||||
for i, p1 in enumerate(prs):
|
||||
for p2 in prs[i + 1:]:
|
||||
key = tuple(sorted([p1["number"], p2["number"]]))
|
||||
if key in seen:
|
||||
continue
|
||||
sim = SequenceMatcher(None, p1.get("title", "").lower(), p2.get("title", "").lower()).ratio()
|
||||
if sim > 0.85:
|
||||
seen.add(key)
|
||||
dup_groups.append({"type": "similarity", "similarity": round(sim, 2), "prs": [p1, p2]})
|
||||
|
||||
return dup_groups
|
||||
|
||||
|
||||
def health(pr, issues):
|
||||
r = refs(pr)
|
||||
created = datetime.fromisoformat(pr["created_at"].replace("Z", "+00:00"))
|
||||
updated = datetime.fromisoformat(pr["updated_at"].replace("Z", "+00:00"))
|
||||
now = datetime.now(timezone.utc)
|
||||
age_days = (now - created).days
|
||||
stale_days = (now - updated).days
|
||||
|
||||
# Risk score: age + staleness + no refs + not mergeable
|
||||
risk = 0
|
||||
risk += min(age_days, 30) # max 30 for age
|
||||
risk += min(stale_days * 2, 40) # max 40 for staleness
|
||||
risk += 10 if not r else 0 # no issue refs
|
||||
risk += 15 if pr.get("mergeable") is False else 0 # conflicts
|
||||
risk = min(risk, 100)
|
||||
|
||||
return {
|
||||
"pr": pr["number"],
|
||||
"title": pr["title"],
|
||||
"head": pr["head"]["ref"],
|
||||
"category": categorize(pr),
|
||||
"refs": r,
|
||||
"open_issues": [x for x in r if x in issues],
|
||||
"closed_issues": [x for x in r if x not in issues],
|
||||
"age_days": age_days,
|
||||
"stale_days": stale_days,
|
||||
"risk_score": risk,
|
||||
"mergeable": pr.get("mergeable"),
|
||||
"author": pr.get("user", {}).get("login", ""),
|
||||
"labels": [l.get("name", "") for l in pr.get("labels", [])],
|
||||
}
|
||||
|
||||
|
||||
def is_safe_to_merge(h):
|
||||
"""Determine if a PR is safe to auto-merge."""
|
||||
if h["category"] != "training-data":
|
||||
return False, "not training-data"
|
||||
if h["mergeable"] is False:
|
||||
return False, "has conflicts"
|
||||
if h["mergeable"] is None:
|
||||
return False, "mergeable status unknown"
|
||||
if h["stale_days"] > 30:
|
||||
return False, f"too stale ({h['stale_days']}d)"
|
||||
if h["risk_score"] > 50:
|
||||
return False, f"risk too high ({h['risk_score']})"
|
||||
return True, "safe"
|
||||
|
||||
|
||||
def auto_merge(base, token, owner, repo, pr_num, dry_run=True):
|
||||
"""Attempt to merge a PR."""
|
||||
if dry_run:
|
||||
return {"merged": False, "dry_run": True, "pr": pr_num}
|
||||
|
||||
url = f"{base}/api/v1/repos/{owner}/{repo}/pulls/{pr_num}/merge"
|
||||
result = _api(url, token, method="POST", data={
|
||||
"MergeTitleField": "auto",
|
||||
"MergeMessageField": "auto",
|
||||
"Do": "merge",
|
||||
})
|
||||
return {"merged": result is not None, "pr": pr_num, "result": result}
|
||||
|
||||
|
||||
def report(repo, checks, dups):
|
||||
lines = [
|
||||
f"# PR Triage -- {repo}",
|
||||
f"Generated: {datetime.now().strftime('%Y-%m-%d %H:%M')}",
|
||||
f"Open PRs: {len(checks)}",
|
||||
"",
|
||||
"## Summary",
|
||||
"",
|
||||
]
|
||||
|
||||
cats = Counter(h["category"] for h in checks)
|
||||
lines.append("| Category | Count |")
|
||||
lines.append("|----------|-------|")
|
||||
for c, n in cats.most_common():
|
||||
lines.append(f"| {c} | {n} |")
|
||||
|
||||
stale = [h for h in checks if h["stale_days"] > 7]
|
||||
high_risk = [h for h in checks if h["risk_score"] > 50]
|
||||
safe_merge = [h for h in checks if is_safe_to_merge(h)[0]]
|
||||
|
||||
lines.extend([
|
||||
"",
|
||||
f"Stale (>7d): {len(stale)}",
|
||||
f"High risk (>50): {len(high_risk)}",
|
||||
f"Safe to merge: {len(safe_merge)}",
|
||||
f"Duplicate groups: {len(dups)}",
|
||||
"",
|
||||
])
|
||||
|
||||
if safe_merge:
|
||||
lines.append("## Safe to Auto-Merge")
|
||||
for h in safe_merge:
|
||||
ok, reason = is_safe_to_merge(h)
|
||||
lines.append(f"- #{h['pr']}: {h['title'][:60]} ({reason})")
|
||||
lines.append("")
|
||||
|
||||
if dups:
|
||||
lines.append("## Duplicates")
|
||||
for g in dups:
|
||||
pr_nums = [str(p["number"]) for p in g["prs"]]
|
||||
lines.append(f"[{g['type']}] PRs {', '.join('#' + n for n in pr_nums)}:")
|
||||
for p in g["prs"]:
|
||||
lines.append(f" - #{p['number']}: {p['title']}")
|
||||
lines.append("")
|
||||
|
||||
if stale:
|
||||
lines.append("## Stale (>7d)")
|
||||
for h in sorted(stale, key=lambda x: x["stale_days"], reverse=True):
|
||||
lines.append(f"- #{h['pr']}: {h['title'][:50]} -- {h['stale_days']}d (risk: {h['risk_score']})")
|
||||
lines.append("")
|
||||
|
||||
lines.append("## All PRs")
|
||||
lines.append("| # | Title | Category | Age | Stale | Risk | Merge |")
|
||||
lines.append("|---|-------|----------|-----|-------|------|-------|")
|
||||
for h in sorted(checks, key=lambda x: x["pr"]):
|
||||
m = "Y" if h["mergeable"] else ("N" if h["mergeable"] is False else "?")
|
||||
s = f"{h['stale_days']}d" if h["stale_days"] > 7 else "-"
|
||||
lines.append(f"| {h['pr']} | {h['title'][:45]} | {h['category']} | {h['age_days']}d | {s} | {h['risk_score']} | {m} |")
|
||||
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
def main():
|
||||
p = argparse.ArgumentParser(description="PR Triage Automation")
|
||||
p.add_argument("--base-url", default="https://forge.alexanderwhitestone.com")
|
||||
p.add_argument("--owner", default="Timmy_Foundation")
|
||||
p.add_argument("--repo", default="")
|
||||
p.add_argument("--all-repos", action="store_true", help="Triage all org repos")
|
||||
p.add_argument("--json", action="store_true", dest="js")
|
||||
p.add_argument("--output", default="")
|
||||
p.add_argument("--auto-merge", action="store_true", help="Auto-merge safe PRs")
|
||||
p.add_argument("--dry-run", action="store_true", help="Show what would be merged without merging")
|
||||
a = p.parse_args()
|
||||
|
||||
token = _token()
|
||||
if not token:
|
||||
print("No token"); sys.exit(1)
|
||||
|
||||
if a.all_repos:
|
||||
repos = fetch_repos(a.base_url, token, a.owner)
|
||||
all_checks = []
|
||||
all_dups = []
|
||||
for repo in repos:
|
||||
prs = fetch_prs(a.base_url, token, a.owner, repo)
|
||||
issues = fetch_issues(a.base_url, token, a.owner, repo)
|
||||
checks = [health(pr, issues) for pr in prs]
|
||||
dups = find_duplicates(prs)
|
||||
for c in checks:
|
||||
c["repo"] = repo
|
||||
all_checks.extend(checks)
|
||||
all_dups.extend(dups)
|
||||
if a.js:
|
||||
print(json.dumps({"repos": repos, "prs": all_checks, "duplicates_count": len(all_dups)}, indent=2))
|
||||
else:
|
||||
print(f"Org-wide triage: {len(repos)} repos, {len(all_checks)} PRs, {len(all_dups)} duplicate groups")
|
||||
cats = Counter(h["category"] for h in all_checks)
|
||||
for c, n in cats.most_common():
|
||||
print(f" {c}: {n}")
|
||||
return
|
||||
|
||||
repo = a.repo
|
||||
if not repo:
|
||||
try:
|
||||
remote = subprocess.check_output(["git", "remote", "get-url", "origin"], text=True).strip()
|
||||
m = re.search(r"[/:](\w[\w-]*)/(\w[\w-]*?)(?:\.git)?$", remote)
|
||||
if m:
|
||||
a.owner, repo = m.group(1), m.group(2)
|
||||
except Exception:
|
||||
pass
|
||||
if not repo:
|
||||
print("No repo specified"); sys.exit(1)
|
||||
|
||||
print(f"Triaging {a.owner}/{repo}...", file=sys.stderr)
|
||||
prs = fetch_prs(a.base_url, token, a.owner, repo)
|
||||
issues = fetch_issues(a.base_url, token, a.owner, repo)
|
||||
checks = [health(pr, issues) for pr in prs]
|
||||
dups = find_duplicates(prs)
|
||||
|
||||
# Auto-merge
|
||||
merge_results = []
|
||||
if a.auto_merge or a.dry_run:
|
||||
safe = [h for h in checks if is_safe_to_merge(h)[0]]
|
||||
if safe:
|
||||
print(f"Auto-merge: {len(safe)} safe PRs ({'dry-run' if a.dry_run else 'live'})", file=sys.stderr)
|
||||
for h in safe:
|
||||
result = auto_merge(a.base_url, token, a.owner, repo, h["pr"], dry_run=a.dry_run)
|
||||
merge_results.append(result)
|
||||
status = "WOULD MERGE" if a.dry_run else ("MERGED" if result["merged"] else "FAILED")
|
||||
print(f" #{h['pr']}: {status}", file=sys.stderr)
|
||||
|
||||
if a.js:
|
||||
out = {
|
||||
"repo": repo, "prs": checks,
|
||||
"duplicates": [{"type": g["type"], "prs": [p["number"] for p in g["prs"]]} for g in dups],
|
||||
"merge_results": merge_results,
|
||||
}
|
||||
print(json.dumps(out, indent=2))
|
||||
else:
|
||||
r = report(repo, checks, dups)
|
||||
print(r)
|
||||
if a.output:
|
||||
with open(a.output, "w") as f:
|
||||
f.write(r)
|
||||
|
||||
print(f"\n{len(checks)} PRs, {len(dups)} duplicate groups, {len(merge_results)} merges",
|
||||
file=sys.stderr)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,4 +1,3 @@
|
||||
#!/usr/bin/env python3
|
||||
import json
|
||||
from hermes_tools import browser_navigate, browser_vision
|
||||
|
||||
|
||||
161
tests/test_pr_triage.py
Normal file
161
tests/test_pr_triage.py
Normal file
@@ -0,0 +1,161 @@
|
||||
"""Tests for PR triage automation (#659)."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import pytest
|
||||
from datetime import datetime, timezone, timedelta
|
||||
from scripts.pr_triage import categorize, refs, find_duplicates, health, is_safe_to_merge
|
||||
|
||||
|
||||
class TestCategorize:
|
||||
"""PR categorization from title/body/labels."""
|
||||
|
||||
def test_training_data(self):
|
||||
pr = {"title": "Add DPO training data", "body": "", "labels": []}
|
||||
assert categorize(pr) == "training-data"
|
||||
|
||||
def test_bug_fix(self):
|
||||
pr = {"title": "fix: resolve crash on startup", "body": "", "labels": []}
|
||||
assert categorize(pr) == "bug-fix"
|
||||
|
||||
def test_feature(self):
|
||||
pr = {"title": "feat: add dark mode", "body": "", "labels": []}
|
||||
assert categorize(pr) == "feature"
|
||||
|
||||
def test_maintenance(self):
|
||||
pr = {"title": "refactor: simplify auth flow", "body": "", "labels": []}
|
||||
assert categorize(pr) == "maintenance"
|
||||
|
||||
def test_other(self):
|
||||
pr = {"title": "Update readme", "body": "", "labels": []}
|
||||
assert categorize(pr) == "other"
|
||||
|
||||
|
||||
class TestRefs:
|
||||
"""Issue reference extraction."""
|
||||
|
||||
def test_extracts_from_title(self):
|
||||
pr = {"title": "fix: resolve #123", "body": ""}
|
||||
assert refs(pr) == [123]
|
||||
|
||||
def test_extracts_from_body(self):
|
||||
pr = {"title": "Fix", "body": "Closes #456, refs #789"}
|
||||
assert refs(pr) == [456, 789]
|
||||
|
||||
def test_no_refs(self):
|
||||
pr = {"title": "Fix", "body": "No issue refs"}
|
||||
assert refs(pr) == []
|
||||
|
||||
def test_multiple_refs(self):
|
||||
pr = {"title": "#1 and #2", "body": "Also #3"}
|
||||
assert refs(pr) == [1, 2, 3]
|
||||
|
||||
|
||||
class TestFindDuplicates:
|
||||
"""Duplicate PR detection."""
|
||||
|
||||
def test_ref_based_duplicates(self):
|
||||
prs = [
|
||||
{"number": 1, "title": "Fix #100", "body": "Closes #100"},
|
||||
{"number": 2, "title": "Fix #100 too", "body": "Closes #100"},
|
||||
]
|
||||
dups = find_duplicates(prs)
|
||||
assert len(dups) == 1
|
||||
assert dups[0]["type"] == "ref"
|
||||
|
||||
def test_title_similarity_duplicates(self):
|
||||
prs = [
|
||||
{"number": 1, "title": "feat: add dark mode support", "body": ""},
|
||||
{"number": 2, "title": "feat: add dark mode support", "body": "different body"},
|
||||
]
|
||||
dups = find_duplicates(prs)
|
||||
assert len(dups) >= 1
|
||||
assert any(d["type"] == "similarity" for d in dups)
|
||||
|
||||
def test_no_duplicates(self):
|
||||
prs = [
|
||||
{"number": 1, "title": "Fix auth bug", "body": "Closes #100"},
|
||||
{"number": 2, "title": "Add dark mode", "body": "Closes #200"},
|
||||
]
|
||||
dups = find_duplicates(prs)
|
||||
assert len(dups) == 0
|
||||
|
||||
|
||||
class TestHealth:
|
||||
"""PR health assessment."""
|
||||
|
||||
def _make_pr(self, **overrides):
|
||||
now = datetime.now(timezone.utc).isoformat()
|
||||
pr = {
|
||||
"number": 1,
|
||||
"title": "test",
|
||||
"body": "Closes #100",
|
||||
"created_at": now,
|
||||
"updated_at": now,
|
||||
"head": {"ref": "fix/test"},
|
||||
"mergeable": True,
|
||||
"user": {"login": "agent"},
|
||||
"labels": [],
|
||||
}
|
||||
pr.update(overrides)
|
||||
return pr
|
||||
|
||||
def test_basic_health(self):
|
||||
pr = self._make_pr()
|
||||
h = health(pr, {100: {"number": 100}})
|
||||
assert h["pr"] == 1
|
||||
assert h["refs"] == [100]
|
||||
assert h["open_issues"] == [100]
|
||||
assert h["age_days"] == 0
|
||||
|
||||
def test_stale_detection(self):
|
||||
old = (datetime.now(timezone.utc) - timedelta(days=30)).isoformat()
|
||||
pr = self._make_pr(created_at=old, updated_at=old)
|
||||
h = health(pr, {})
|
||||
assert h["stale_days"] >= 29
|
||||
assert h["risk_score"] > 30
|
||||
|
||||
|
||||
class TestIsSafeToMerge:
|
||||
"""Auto-merge safety checks."""
|
||||
|
||||
def _make_health(self, **overrides):
|
||||
h = {
|
||||
"pr": 1, "title": "test", "head": "fix/test",
|
||||
"category": "training-data", "refs": [100],
|
||||
"open_issues": [100], "closed_issues": [],
|
||||
"age_days": 1, "stale_days": 1,
|
||||
"risk_score": 10, "mergeable": True,
|
||||
"author": "agent", "labels": [],
|
||||
}
|
||||
h.update(overrides)
|
||||
return h
|
||||
|
||||
def test_safe_training_data(self):
|
||||
h = self._make_health()
|
||||
ok, reason = is_safe_to_merge(h)
|
||||
assert ok
|
||||
|
||||
def test_unsafe_not_training(self):
|
||||
h = self._make_health(category="bug-fix")
|
||||
ok, reason = is_safe_to_merge(h)
|
||||
assert not ok
|
||||
assert "not training-data" in reason
|
||||
|
||||
def test_unsafe_conflicts(self):
|
||||
h = self._make_health(mergeable=False)
|
||||
ok, reason = is_safe_to_merge(h)
|
||||
assert not ok
|
||||
assert "conflicts" in reason
|
||||
|
||||
def test_unsafe_too_stale(self):
|
||||
h = self._make_health(stale_days=31)
|
||||
ok, reason = is_safe_to_merge(h)
|
||||
assert not ok
|
||||
assert "stale" in reason
|
||||
|
||||
def test_unsafe_high_risk(self):
|
||||
h = self._make_health(risk_score=60)
|
||||
ok, reason = is_safe_to_merge(h)
|
||||
assert not ok
|
||||
assert "risk" in reason
|
||||
Reference in New Issue
Block a user