Coverage for core / autogen_config.py: 0.0%

1"""Autogen LLM config_list — single source of truth. 

2 

3Used by both create_recipe.py and reuse_recipe.py. Resolves the LLM 

4endpoint based on node tier and environment configuration: 

5 - regional/central with HEVOLVE_LLM_ENDPOINT_URL → cloud endpoint 

6 - flat with HEVOLVE_LLM_API_KEY → wizard-configured cloud 

7 - flat without cloud → local llama.cpp on get_local_llm_url() 

8""" 

9import os 

10 

11 

12def get_autogen_config_list() -> list: 

13 """Build the autogen config_list based on environment.""" 

14 from core.port_registry import get_local_llm_url 

15 

16 _node_tier = os.environ.get('HEVOLVE_NODE_TIER', 'flat') 

17 _active_cloud = os.environ.get('HEVOLVE_ACTIVE_CLOUD_PROVIDER', '') 

18 

19 if _node_tier in ('regional', 'central') and os.environ.get('HEVOLVE_LLM_ENDPOINT_URL'): 

20 return [{ 

21 "model": os.environ.get('HEVOLVE_LLM_MODEL_NAME', 'gpt-4.1-mini'), 

22 "api_key": os.environ.get('HEVOLVE_LLM_API_KEY', 'dummy'), 

23 "base_url": os.environ['HEVOLVE_LLM_ENDPOINT_URL'], 

24 "price": [0.0025, 0.01] 

25 }] 

26 

27 if _active_cloud and os.environ.get('HEVOLVE_LLM_API_KEY'): 

28 _cloud_cfg = { 

29 "model": os.environ.get('HEVOLVE_LLM_MODEL_NAME', 'gpt-4o-mini'), 

30 "api_key": os.environ['HEVOLVE_LLM_API_KEY'], 

31 "price": [0.0025, 0.01], 

32 } 

33 if os.environ.get('HEVOLVE_LLM_ENDPOINT_URL'): 

34 _cloud_cfg["base_url"] = os.environ['HEVOLVE_LLM_ENDPOINT_URL'] 

35 return [_cloud_cfg] 

36 

37 return [{ 

38 "model": os.environ.get('HEVOLVE_LOCAL_LLM_MODEL', 'local'), 

39 "api_key": 'dummy', 

40 "base_url": get_local_llm_url(), 

41 "price": [0, 0], 

42 }]