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# [[api_keys.{your model_alias}]] # it dosen't have to be the same as *model name*.
# api_key = [your api_key]
# base_url = [your base_url]
# model = "{model_name for api call}" # the model name should compatible with the API.
# see example for alias:
# [[api_keys.openai-3.5]]
# api_key = sk-xx
# model = "gpt-3.5-turbo"
# To run active agent directly, fill the following fields.
# For active agent part, we set the model as activeagent, so just fill it directly.
[[api_keys.activeagent]]
api_key = "sk-"
model = "gpt-4o"
[request]
default_completions_model = "gpt-4o" #which model will be used in experiment if not set in code.
save_completions = true # Whether to store the completions in the repo, if true, the completions will be stored in `.completions/`
use_cache = false # Whether to use cache, if true, when given exact same input stored in `.completions`, the cache will be activated and return the response stored .
# !If change `default_completions_model`, make sure you use *alias* instead of *model name*. i.e. use `openai-3.5` rather than `gpt-3.5-turbo`.