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fix: revert to env var approach for camel-ai LLM config

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model_config_dict passes values to create() call, not client constructor.
api_key in model_config_dict causes 'unexpected keyword argument' error.
Revert to env vars: OPENAI_API_KEY + OPENAI_BASE_URL (camel-ai reads both).
This commit is contained in:
Kunthawat Greethong
2026-06-18 10:33:10 +07:00
parent 31d1ebd49b
commit 3ba42db6e2
3 changed files with 5 additions and 21 deletions
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10
backend/scripts/run_parallel_simulation.py
View File

@@ -1031,17 +1031,13 @@ def create_model(config: Dict[str, Any], use_boost: bool = False):
print(f"{config_label} model={llm_model}, base_url={llm_base_url[:40] if llm_base_url else '默认'}...") print(f"{config_label} model={llm_model}, base_url={llm_base_url[:40] if llm_base_url else '默认'}...")
# Build model config dict for camel-ai # camel-ai reads OPENAI_API_KEY from env automatically
model_config = {} # For base_url, we must also set it as env var
if llm_api_key: # (model_config_dict passes values to create() call, not client constructor)
model_config["api_key"] = llm_api_key
if llm_base_url:
model_config["base_url"] = llm_base_url
return ModelFactory.create( return ModelFactory.create(
model_platform=ModelPlatformType.OPENAI, model_platform=ModelPlatformType.OPENAI,
model_type=llm_model, model_type=llm_model,
model_config_dict=model_config,
) )

8
backend/scripts/run_reddit_simulation.py
View File

@@ -461,17 +461,11 @@ class RedditSimulationRunner:
print(f"LLM配置: model={llm_model}, base_url={llm_base_url[:40] if llm_base_url else '默认'}...") print(f"LLM配置: model={llm_model}, base_url={llm_base_url[:40] if llm_base_url else '默认'}...")
# Build model config dict for camel-ai # camel-ai reads OPENAI_API_KEY from env automatically
model_config = {"model_type": llm_model}
if llm_api_key:
model_config["api_key"] = llm_api_key
if llm_base_url:
model_config["base_url"] = llm_base_url
return ModelFactory.create( return ModelFactory.create(
model_platform=ModelPlatformType.OPENAI, model_platform=ModelPlatformType.OPENAI,
model_type=llm_model, model_type=llm_model,
model_config_dict=model_config,
) )
def _get_active_agents_for_round( def _get_active_agents_for_round(

8
backend/scripts/run_twitter_simulation.py
View File

@@ -454,17 +454,11 @@ class TwitterSimulationRunner:
print(f"LLM配置: model={llm_model}, base_url={llm_base_url[:40] if llm_base_url else '默认'}...") print(f"LLM配置: model={llm_model}, base_url={llm_base_url[:40] if llm_base_url else '默认'}...")
# Build model config dict for camel-ai # camel-ai reads OPENAI_API_KEY from env automatically
model_config = {"model_type": llm_model}
if llm_api_key:
model_config["api_key"] = llm_api_key
if llm_base_url:
model_config["base_url"] = llm_base_url
return ModelFactory.create( return ModelFactory.create(
model_platform=ModelPlatformType.OPENAI, model_platform=ModelPlatformType.OPENAI,
model_type=llm_model, model_type=llm_model,
model_config_dict=model_config,
) )
def _get_active_agents_for_round( def _get_active_agents_for_round(