chore: enable F821, F401, W293 (#9503)
* auto fixes * auto fix pt2 and transitive deps and undefined var checking locals() * manual fixes (ignored or letta-code fixed) * fix circular import
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@@ -1,4 +1,4 @@
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from typing import TYPE_CHECKING, Any, List, Literal, Optional
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from typing import TYPE_CHECKING, List, Literal, Optional
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from letta.constants import CORE_MEMORY_LINE_NUMBER_WARNING
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@@ -67,7 +67,7 @@ def memory(
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raise NotImplementedError("This should never be invoked directly. Contact Letta if you see this error message.")
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def send_message(self: "Agent", message: str) -> Optional[str]:
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def send_message(self: "Agent", message: str) -> Optional[str]: # noqa: F821
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"""
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Sends a message to the human user.
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@@ -84,7 +84,7 @@ def send_message(self: "Agent", message: str) -> Optional[str]:
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def conversation_search(
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self: "Agent",
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self: "Agent", # noqa: F821
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query: Optional[str] = None,
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roles: Optional[List[Literal["assistant", "user", "tool"]]] = None,
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limit: Optional[int] = None,
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@@ -160,7 +160,7 @@ def conversation_search(
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return results_str
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async def archival_memory_insert(self: "Agent", content: str, tags: Optional[list[str]] = None) -> Optional[str]:
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async def archival_memory_insert(self: "Agent", content: str, tags: Optional[list[str]] = None) -> Optional[str]: # noqa: F821
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"""
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Add information to long-term archival memory for later retrieval.
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@@ -191,7 +191,7 @@ async def archival_memory_insert(self: "Agent", content: str, tags: Optional[lis
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async def archival_memory_search(
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self: "Agent",
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self: "Agent", # noqa: F821
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query: str,
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tags: Optional[list[str]] = None,
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tag_match_mode: Literal["any", "all"] = "any",
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@@ -1,5 +1,5 @@
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import asyncio
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from typing import TYPE_CHECKING, List
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from typing import List
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from letta.functions.helpers import (
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_send_message_to_agents_matching_tags_async,
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@@ -10,9 +10,10 @@ from letta.functions.helpers import (
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from letta.schemas.enums import MessageRole
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from letta.schemas.message import MessageCreate
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from letta.server.rest_api.dependencies import get_letta_server
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from letta.settings import settings
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def send_message_to_agent_and_wait_for_reply(self: "Agent", message: str, other_agent_id: str) -> str:
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def send_message_to_agent_and_wait_for_reply(self: "Agent", message: str, other_agent_id: str) -> str: # noqa: F821
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"""
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Sends a message to a specific Letta agent within the same organization and waits for a response. The sender's identity is automatically included, so no explicit introduction is needed in the message. This function is designed for two-way communication where a reply is expected.
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@@ -36,7 +37,7 @@ def send_message_to_agent_and_wait_for_reply(self: "Agent", message: str, other_
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)
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def send_message_to_agents_matching_tags(self: "Agent", message: str, match_all: List[str], match_some: List[str]) -> List[str]:
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def send_message_to_agents_matching_tags(self: "Agent", message: str, match_all: List[str], match_some: List[str]) -> List[str]: # noqa: F821
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"""
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Sends a message to all agents within the same organization that match the specified tag criteria. Agents must possess *all* of the tags in `match_all` and *at least one* of the tags in `match_some` to receive the message.
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@@ -65,7 +66,7 @@ def send_message_to_agents_matching_tags(self: "Agent", message: str, match_all:
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return asyncio.run(_send_message_to_agents_matching_tags_async(self, server, messages, matching_agents))
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def send_message_to_all_agents_in_group(self: "Agent", message: str) -> List[str]:
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def send_message_to_all_agents_in_group(self: "Agent", message: str) -> List[str]: # noqa: F821
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"""
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Sends a message to all agents within the same multi-agent group.
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@@ -81,7 +82,7 @@ def send_message_to_all_agents_in_group(self: "Agent", message: str) -> List[str
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return asyncio.run(_send_message_to_all_agents_in_group_async(self, message))
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def send_message_to_agent_async(self: "Agent", message: str, other_agent_id: str) -> str:
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def send_message_to_agent_async(self: "Agent", message: str, other_agent_id: str) -> str: # noqa: F821
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"""
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Sends a message to a specific Letta agent within the same organization. The sender's identity is automatically included, so no explicit introduction is required in the message. This function does not expect a response from the target agent, making it suitable for notifications or one-way communication.
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Args:
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@@ -4,7 +4,7 @@ from typing import List, Optional
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from pydantic import BaseModel, Field
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def rethink_user_memory(agent_state: "AgentState", new_memory: str) -> None:
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def rethink_user_memory(agent_state: "AgentState", new_memory: str) -> None: # noqa: F821
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"""
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Rewrite memory block for the main agent, new_memory should contain all current information from the block that is not outdated or inconsistent, integrating any new information, resulting in a new memory block that is organized, readable, and comprehensive.
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@@ -18,7 +18,7 @@ def rethink_user_memory(agent_state: "AgentState", new_memory: str) -> None:
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return None
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def finish_rethinking_memory(agent_state: "AgentState") -> None: # type: ignore
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def finish_rethinking_memory(agent_state: "AgentState") -> None: # type: ignore # noqa: F821
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"""
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This function is called when the agent is done rethinking the memory.
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@@ -43,7 +43,7 @@ class MemoryChunk(BaseModel):
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)
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def store_memories(agent_state: "AgentState", chunks: List[MemoryChunk]) -> None:
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def store_memories(agent_state: "AgentState", chunks: List[MemoryChunk]) -> None: # noqa: F821
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"""
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Persist dialogue that is about to fall out of the agent’s context window.
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@@ -59,7 +59,7 @@ def store_memories(agent_state: "AgentState", chunks: List[MemoryChunk]) -> None
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def search_memory(
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agent_state: "AgentState",
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agent_state: "AgentState", # noqa: F821
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convo_keyword_queries: Optional[List[str]],
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start_minutes_ago: Optional[int],
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end_minutes_ago: Optional[int],
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