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preparing new version

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This commit is contained in:
João Moura
2024-11-10 23:46:38 -03:00
parent 40a676b7ac
commit 49220ec163
4 changed files with 53 additions and 37 deletions
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75
src/crewai/agent.py
View File

@@ -123,6 +123,11 @@ class Agent(BaseAgent):
@model_validator(mode="after")
def post_init_setup(self):
self.agent_ops_agent_name = self.role
unnacepted_attributes = [
"AWS_ACCESS_KEY_ID",
"AWS_SECRET_ACCESS_KEY",
"AWS_REGION_NAME",
]
# Handle different cases for self.llm
if isinstance(self.llm, str):
@@ -146,39 +151,49 @@ class Agent(BaseAgent):
if api_base:
llm_params["base_url"] = api_base
set_provider = model_name.split("/")[0] if "/" in model_name else "openai"
# Iterate over all environment variables to find matching API keys or use defaults
for provider, env_vars in ENV_VARS.items():
for env_var in env_vars:
# Check if the environment variable is set
if "key_name" in env_var:
env_value = os.environ.get(env_var["key_name"])
if env_value:
# Map key names containing "API_KEY" to "api_key"
key_name = (
"api_key"
if "API_KEY" in env_var["key_name"]
else env_var["key_name"]
if provider == set_provider:
for env_var in env_vars:
if env_var["key_name"] in unnacepted_attributes:
continue
# Check if the environment variable is set
if "key_name" in env_var:
env_value = os.environ.get(env_var["key_name"])
print(
f"Checking env var {env_var['key_name']}: {env_value}"
)
# Map key names containing "API_BASE" to "api_base"
key_name = (
"api_base"
if "API_BASE" in env_var["key_name"]
else key_name
)
# Map key names containing "API_VERSION" to "api_version"
key_name = (
"api_version"
if "API_VERSION" in env_var["key_name"]
else key_name
)
llm_params[key_name] = env_value
# Check for default values if the environment variable is not set
elif env_var.get("default", False):
for key, value in env_var.items():
if key not in ["prompt", "key_name", "default"]:
# Only add default if the key is already set in os.environ
if key in os.environ:
llm_params[key] = value
if env_value:
# Map key names containing "API_KEY" to "api_key"
key_name = (
"api_key"
if "API_KEY" in env_var["key_name"]
else env_var["key_name"]
)
# Map key names containing "API_BASE" to "api_base"
key_name = (
"api_base"
if "API_BASE" in env_var["key_name"]
else key_name
)
# Map key names containing "API_VERSION" to "api_version"
key_name = (
"api_version"
if "API_VERSION" in env_var["key_name"]
else key_name
)
print(f"Mapped key name: {key_name}")
llm_params[key_name] = env_value
# Check for default values if the environment variable is not set
elif env_var.get("default", False):
for key, value in env_var.items():
if key not in ["prompt", "key_name", "default"]:
# Only add default if the key is already set in os.environ
if key in os.environ:
print(f"Using default value for {key}: {value}")
llm_params[key] = value
self.llm = LLM(**llm_params)
else:

7
src/crewai/agents/crew_agent_executor.py
View File

@@ -332,9 +332,9 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
if self.crew is not None and hasattr(self.crew, "_train_iteration"):
train_iteration = self.crew._train_iteration
if agent_id in training_data and isinstance(train_iteration, int):
training_data[agent_id][train_iteration][
"improved_output"
] = result.output
training_data[agent_id][train_iteration]["improved_output"] = (
result.output
)
training_handler.save(training_data)
else:
self._logger.log(
@@ -385,4 +385,5 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
return CrewAgentParser(agent=self.agent).parse(answer)
def _format_msg(self, prompt: str, role: str = "user") -> Dict[str, str]:
prompt = prompt.rstrip()
return {"role": role, "content": prompt}