- harness/es.py: append-only event store + проекции (образец — кооп-портал) - harness/levels.py: уровни 1с/1м/1ч/1д, контекст ∝ масштабу - harness/scheduler.py: уровневые потоки, идемпотентные тики, absorbed-стабы - harness/isolated_runner.py + _llm_worker.py: LLM-тик в сабпроцессе (глобальный asyncio-рантайм Strands не переживает 2+ create_harness) - cli.py: init/task/tasks/status/events + requeue (написан самим минутным агентом) - 9router: отдельный ключ sk-simbiot, модель auto (glm-5.3 первым)
3 KiB
3 KiB
Conversations
Types:
from openai.types.conversations import (
ComputerScreenshotContent,
Conversation,
ConversationDeleted,
ConversationDeletedResource,
Message,
SummaryTextContent,
TextContent,
InputTextContent,
OutputTextContent,
RefusalContent,
InputImageContent,
InputFileContent,
)
Methods:
client.conversations.create(**params) -> Conversationclient.conversations.retrieve(conversation_id) -> Conversationclient.conversations.update(conversation_id, **params) -> Conversationclient.conversations.delete(conversation_id) -> ConversationDeletedResource
Items
Types:
from openai.types.conversations import ConversationItem, ConversationItemList
Methods:
client.conversations.items.create(conversation_id, **params) -> ConversationItemListclient.conversations.items.retrieve(item_id, *, conversation_id, **params) -> ConversationItemclient.conversations.items.list(conversation_id, **params) -> SyncConversationCursorPage[ConversationItem]client.conversations.items.delete(item_id, *, conversation_id) -> Conversation