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-rw-r--r--autogpt/core/runner/cli_web_app/server/schema.py36
1 files changed, 0 insertions, 36 deletions
diff --git a/autogpt/core/runner/cli_web_app/server/schema.py b/autogpt/core/runner/cli_web_app/server/schema.py
deleted file mode 100644
index 272fbc78e..000000000
--- a/autogpt/core/runner/cli_web_app/server/schema.py
+++ /dev/null
@@ -1,36 +0,0 @@
-from uuid import UUID
-
-from pydantic import BaseModel, validator
-
-
-class AgentInfo(BaseModel):
- id: UUID = None
- objective: str = ""
- name: str = ""
- role: str = ""
- goals: list[str] = []
-
-
-class AgentConfiguration(BaseModel):
- """Configuration for creation of a new agent."""
-
- # We'll want to get this schema from the configuration, so it needs to be dynamic.
- user_configuration: dict
- agent_goals: AgentInfo
-
- @validator("agent_goals")
- def only_objective_or_name_role_goals(cls, agent_goals):
- goals_specification = [agent_goals.name, agent_goals.role, agent_goals.goals]
- if agent_goals.objective and any(goals_specification):
- raise ValueError("Cannot specify both objective and name, role, or goals")
- if not agent_goals.objective and not all(goals_specification):
- raise ValueError("Must specify either objective or name, role, and goals")
-
-
-class InteractRequestBody(BaseModel):
- user_input: str = ""
-
-
-class InteractResponseBody(BaseModel):
- thoughts: dict[str, str] # TBD
- messages: list[str] # for example