1 files changed, 74 insertions, 0 deletions
diff --git a/autogpts/autogpt/autogpt/core/runner/cli_app/main.py b/autogpts/autogpt/autogpt/core/runner/cli_app/main.py
new file mode 100644
index 000000000..d6bb5c4f0
--- /dev/null
+++ b/autogpts/autogpt/autogpt/core/runner/cli_app/main.py
@@ -0,0 +1,74 @@
+import click
+
+from autogpt.core.agent import AgentSettings, SimpleAgent
+from autogpt.core.runner.client_lib.logging import (
+    configure_root_logger,
+    get_client_logger,
+)
+from autogpt.core.runner.client_lib.parser import (
+    parse_ability_result,
+    parse_agent_name_and_goals,
+    parse_agent_plan,
+    parse_next_ability,
+)
+
+
+async def run_auto_gpt(user_configuration: dict):
+    """Run the AutoGPT CLI client."""
+
+    configure_root_logger()
+
+    client_logger = get_client_logger()
+    client_logger.debug("Getting agent settings")
+
+    agent_workspace = (
+        user_configuration.get("workspace", {}).get("configuration", {}).get("root", "")
+    )
+
+    if not agent_workspace:  # We don't have an agent yet.
+        #################
+        # Bootstrapping #
+        #################
+        # Step 1. Collate the user's settings with the default system settings.
+        agent_settings: AgentSettings = SimpleAgent.compile_settings(
+            client_logger,
+            user_configuration,
+        )
+
+        # Step 2. Get a name and goals for the agent.
+        # First we need to figure out what the user wants to do with the agent.
+        # We'll do this by asking the user for a prompt.
+        user_objective = click.prompt("What do you want AutoGPT to do?")
+        # Ask a language model to determine a name and goals for a suitable agent.
+        name_and_goals = await SimpleAgent.determine_agent_name_and_goals(
+            user_objective,
+            agent_settings,
+            client_logger,
+        )
+        print("\n" + parse_agent_name_and_goals(name_and_goals))
+        # Finally, update the agent settings with the name and goals.
+        agent_settings.update_agent_name_and_goals(name_and_goals)
+
+        # Step 3. Provision the agent.
+        agent_workspace = SimpleAgent.provision_agent(agent_settings, client_logger)
+        client_logger.info("Agent is provisioned")
+
+    # launch agent interaction loop
+    agent = SimpleAgent.from_workspace(
+        agent_workspace,
+        client_logger,
+    )
+    client_logger.info("Agent is loaded")
+
+    plan = await agent.build_initial_plan()
+    print(parse_agent_plan(plan))
+
+    while True:
+        current_task, next_ability = await agent.determine_next_ability(plan)
+        print(parse_next_ability(current_task, next_ability))
+        user_input = click.prompt(
+            "Should the agent proceed with this ability?",
+            default="y",
+        )
+        ability_result = await agent.execute_next_ability(user_input)
+        print(parse_ability_result(ability_result))