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import ast
import os
AGENT_FILE = "/app/backend/routes/agent.py"
LLM_PARAMS_FILE = "/app/agent/core/llm_params.py"
# === Step 1: Replace _available_models() to return ONLY new models ===
with open(AGENT_FILE) as f:
content = f.read()
# Replace the default model constants first
content = content.replace(
'DEFAULT_FREE_MODEL_ID = KIMI_K26_MODEL_ID',
'DEFAULT_FREE_MODEL_ID = "openai/openrouter/owl-alpha"'
)
# Replace _available_models() function body to return only new models
old_func = '''def _available_models() -> list[dict[str, Any]]:
models = [
{
"id": DEFAULT_OPUS_MODEL_ID,
"label": "Claude Opus 4.8",
"provider": "huggingface",
"recommended": True,
},
{
"id": DEFAULT_GPT_MODEL_ID,
"label": "GPT-5.5",
"provider": "huggingface",
},
{
"id": DEFAULT_FREE_MODEL_ID,
"label": "Kimi K2.6",
"provider": "huggingface",
},
{
"id": MINIMAX_M27_MODEL_ID,
"label": "MiniMax M2.7",
"provider": "huggingface",
},
{
"id": GLM_51_MODEL_ID,
"label": "GLM 5.1",
"provider": "huggingface",
},
{
"id": DEEPSEEK_V4_PRO_MODEL_ID,
"label": "DeepSeek V4 Pro",
"provider": "huggingface",
},
]
return models'''
new_func = '''def _available_models() -> list[dict[str, Any]]:
models = [
{
"id": "openai/openrouter/owl-alpha",
"label": "Owl Alpha",
"provider": "openrouter",
"tier": "free",
"recommended": True,
},
{
"id": "deepseek-ai/DeepSeek-V4-Pro",
"label": "DeepSeek V4 Pro",
"provider": "huggingface",
"tier": "free",
"recommended": True,
},
{
"id": "deepseek-ai/DeepSeek-V4-Flash",
"label": "DeepSeek V4 Flash",
"provider": "huggingface",
"tier": "free",
},
{
"id": "openai/gpt-5.5:fal-ai",
"label": "GPT-5.5",
"provider": "huggingface",
"tier": "free",
},
{
"id": "Qwen/Qwen3-Coder-Next",
"label": "Qwen3 Coder Next",
"provider": "huggingface",
"tier": "free",
"recommended": True,
},
{
"id": "google/gemma-3-1b-it",
"label": "Gemma 3 1B",
"provider": "huggingface",
"tier": "free",
"recommended": True,
},
{
"id": "openai/google/gemini-2.0-flash-001",
"label": "Gemini 2.0 Flash",
"provider": "openrouter",
"tier": "free",
},
{
"id": "openai/deepseek/deepseek-v4-flash:free",
"label": "DeepSeek V4 Flash (OR)",
"provider": "openrouter",
"tier": "free",
},
{
"id": "openai/google/gemma-4-9b-it:free",
"label": "Gemma 4 9B",
"provider": "openrouter",
"tier": "free",
"recommended": True,
},
{
"id": "openai/google/gemma-4-31b-it:free",
"label": "Gemma 4 31B",
"provider": "openrouter",
"tier": "free",
"recommended": True,
},
{
"id": "openai/sourceful/riverflow-v2.5-fast:free",
"label": "Riverflow V2.5 Fast",
"provider": "openrouter",
"tier": "free",
"recommended": True,
},
{
"id": "openai/sourceful/riverflow-v2.5-pro:free",
"label": "Riverflow V2.5 Pro",
"provider": "openrouter",
"tier": "free",
"recommended": True,
},
{
"id": "openai/nvidia/nemotron-3-super-120b-a12b:free",
"label": "Nemotron 3 Super 120B",
"provider": "openrouter",
"tier": "free",
},
{
"id": "openai/nvidia/nemotron-3-ultra-550b-a55b:free",
"label": "Nemotron 3 Ultra 550B",
"provider": "openrouter",
"tier": "free",
"recommended": True,
},
{
"id": "openai/poolside/laguna-m.1:free",
"label": "Laguna M.1",
"provider": "openrouter",
"tier": "free",
"recommended": True,
},
{
"id": "openai/poolside/laguna-xs.2:free",
"label": "Laguna XS.2",
"provider": "openrouter",
"tier": "free",
},
]
return models'''
if old_func in content:
content = content.replace(old_func, new_func)
print("OK: Replaced _available_models() with 16 new models")
else:
print("WARN: Could not find old _available_models(), trying extend approach...")
target = "AVAILABLE_MODELS = _available_models()\n"
if target in content:
content = content.replace(
target,
target + "AVAILABLE_MODELS.clear()\n" +
"AVAILABLE_MODELS.extend([\n"
' {"id": "openai/openrouter/owl-alpha", "label": "Owl Alpha", "provider": "openrouter", "tier": "free", "recommended": True},\n'
' {"id": "deepseek-ai/DeepSeek-V4-Pro", "label": "DeepSeek V4 Pro", "provider": "huggingface", "tier": "free", "recommended": True},\n'
' {"id": "deepseek-ai/DeepSeek-V4-Flash", "label": "DeepSeek V4 Flash", "provider": "huggingface", "tier": "free"},\n'
' {"id": "openai/gpt-5.5:fal-ai", "label": "GPT-5.5", "provider": "huggingface", "tier": "free"},\n'
' {"id": "Qwen/Qwen3-Coder-Next", "label": "Qwen3 Coder Next", "provider": "huggingface", "tier": "free", "recommended": True},\n'
' {"id": "google/gemma-3-1b-it", "label": "Gemma 3 1B", "provider": "huggingface", "tier": "free", "recommended": True},\n'
' {"id": "openai/google/gemini-2.0-flash-001", "label": "Gemini 2.0 Flash", "provider": "openrouter", "tier": "free"},\n'
' {"id": "openai/deepseek/deepseek-v4-flash:free", "label": "DeepSeek V4 Flash (OR)", "provider": "openrouter", "tier": "free"},\n'
' {"id": "openai/google/gemma-4-9b-it:free", "label": "Gemma 4 9B", "provider": "openrouter", "tier": "free", "recommended": True},\n'
' {"id": "openai/google/gemma-4-31b-it:free", "label": "Gemma 4 31B", "provider": "openrouter", "tier": "free", "recommended": True},\n'
' {"id": "openai/sourceful/riverflow-v2.5-fast:free", "label": "Riverflow V2.5 Fast", "provider": "openrouter", "tier": "free", "recommended": True},\n'
' {"id": "openai/sourceful/riverflow-v2.5-pro:free", "label": "Riverflow V2.5 Pro", "provider": "openrouter", "tier": "free", "recommended": True},\n'
' {"id": "openai/nvidia/nemotron-3-super-120b-a12b:free", "label": "Nemotron 3 Super 120B", "provider": "openrouter", "tier": "free"},\n'
' {"id": "openai/nvidia/nemotron-3-ultra-550b-a55b:free", "label": "Nemotron 3 Ultra 550B", "provider": "openrouter", "tier": "free", "recommended": True},\n'
' {"id": "openai/poolside/laguna-m.1:free", "label": "Laguna M.1", "provider": "openrouter", "tier": "free", "recommended": True},\n'
' {"id": "openai/poolside/laguna-xs.2:free", "label": "Laguna XS.2", "provider": "openrouter", "tier": "free"},\n'
"])\n"
'DEFAULT_FREE_MODEL_ID = "openai/openrouter/owl-alpha"\n'
)
print("OK: Used extend approach")
else:
print("FAIL: Cannot patch agent.py!")
import sys
sys.exit(1)
try:
ast.parse(content)
print("OK: agent.py syntax OK")
except SyntaxError as e:
print(f"FAIL: Syntax error in agent.py: {e}")
raise
with open(AGENT_FILE, "w") as f:
f.write(content)
# === Step 2: Patch _resolve_llm_params for OpenRouter routing ===
# IMPORTANT: Keep the "openai/" prefix when sending to OpenRouter!
# LiteLLM needs it to identify the provider as OpenAI-compatible.
with open(LLM_PARAMS_FILE) as f:
llm_content = f.read()
old_block = """ hf_model = normalized_model
api_key = _resolve_hf_router_token(session_hf_token)
params = {
"model": f"openai/{hf_model}",
"api_base": HF_ROUTER_BASE_URL,
"api_key": api_key,
}"""
new_block = """ hf_model = normalized_model
api_key = _resolve_hf_router_token(session_hf_token)
# === PATCH: Route OpenRouter models ===
# Models with openai/<provider>/ prefix go to OpenRouter.
# Keep the "openai/" prefix — LiteLLM needs it for provider detection.
_or_prefixes = ("openai/google/", "openai/deepseek/", "openai/nvidia/", "openai/poolside/", "openai/sourceful/", "openai/openrouter/")
if normalized_model.startswith(_or_prefixes):
return {
"model": normalized_model,
"api_base": "https://openrouter.ai/api/v1",
"api_key": os.environ.get("OPENROUTER_API_KEY") or api_key or "",
}
# === END PATCH ===
params = {
"model": f"openai/{hf_model}",
"api_base": HF_ROUTER_BASE_URL,
"api_key": api_key,
}"""
if old_block in llm_content:
llm_content = llm_content.replace(old_block, new_block)
print("OK: Patched _resolve_llm_params")
elif "openai/openrouter/" in llm_content:
print("OK: Already patched")
else:
idx = llm_content.find("hf_model = normalized_model")
if idx >= 0:
print(f"WARN: Target block not found at idx {idx}")
import sys
sys.exit(1)
try:
ast.parse(llm_content)
print("OK: llm_params.py syntax OK")
except SyntaxError as e:
print(f"FAIL: Syntax error: {e}")
raise
with open(LLM_PARAMS_FILE, "w") as f:
f.write(llm_content)
print("OK: Backend patched - 16 models, owl-alpha default, OpenRouter routing (keep openai/ prefix)") |