e4dcfc49aa
Tests / Import Check (Python 3.13) (push) Has been cancelled
Tests / Import Check (Python 3.14) (push) Has been cancelled
Tests / Python Tests (Python 3.11) (push) Has been cancelled
Tests / Python Tests (Python 3.12) (push) Has been cancelled
Tests / Python Tests (Python 3.14) (push) Has been cancelled
Tests / Test Summary (push) Has been cancelled
Tests / Lint and Format (push) Has been cancelled
Tests / Web Node Tests (push) Has been cancelled
Tests / Import Check (Python 3.11) (push) Has been cancelled
Tests / Import Check (Python 3.12) (push) Has been cancelled
Tests / Python Tests (Python 3.13) (push) Has been cancelled
85 lines
3.6 KiB
Python
85 lines
3.6 KiB
Python
"""
|
|
Unified Context
|
|
===============
|
|
|
|
A single data object that flows through the orchestrator into every
|
|
tool / capability / plugin invocation.
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
from dataclasses import dataclass, field
|
|
from typing import Any
|
|
|
|
|
|
@dataclass
|
|
class Attachment:
|
|
"""A file or image attached to the user message."""
|
|
|
|
type: str # "image" | "file" | "pdf"
|
|
url: str = ""
|
|
base64: str = ""
|
|
filename: str = ""
|
|
mime_type: str = ""
|
|
# Stable per-attachment identifier; doubles as the directory segment
|
|
# under which the original bytes live in the AttachmentStore.
|
|
id: str = ""
|
|
# Plain-text rendering of binary documents (PDF/DOCX/XLSX/PPTX).
|
|
# Populated by ``extract_documents_from_records`` so the frontend can
|
|
# show "what the LLM saw" when previewing office files.
|
|
extracted_text: str = ""
|
|
|
|
|
|
@dataclass
|
|
class UnifiedContext:
|
|
"""
|
|
Everything a capability or tool needs to process a single user turn.
|
|
|
|
Attributes:
|
|
session_id: Persistent conversation identifier.
|
|
user_message: The current user input.
|
|
conversation_history: Previous messages in OpenAI format.
|
|
enabled_tools: Tool names the user has toggled on (Level 1).
|
|
``None`` means "not specified", while ``[]`` means
|
|
"explicitly disable all optional tools".
|
|
allowed_builtin_tools: Whitelist gating the built-in auto-mounted tools
|
|
(rag / read_memory / web_fetch / …). ``None`` (the product-chat
|
|
default) means "no gating" — every built-in mounts under its usual
|
|
context condition. A list restricts which built-ins may mount;
|
|
partners set this so an owner can deny built-ins per companion.
|
|
active_capability: Capability name selected by the user, or None for plain chat.
|
|
knowledge_bases: KB names to use for RAG.
|
|
attachments: Images / files sent with the message.
|
|
config_overrides: Per-request config tweaks (e.g. temperature).
|
|
language: UI / response language ("en" | "zh").
|
|
memory_context: Memory snapshot text injected into the system prompt.
|
|
persona_context: Selected persona's instructions, eagerly injected
|
|
into the system prompt (a persona must shape the voice from the
|
|
first token; empty when no persona is active).
|
|
skills_manifest: System-prompt Skills block — one line per
|
|
capability skill visible to this user, plus any ``always``
|
|
skills' full bodies. The model pulls full skill content on
|
|
demand via the ``read_skill`` tool.
|
|
source_manifest: Plain-text manifest of attached sources (one line per
|
|
source: id/name/type/preview). Empty when no sources are attached.
|
|
Consumed by the chat capability to render an "Attached Sources"
|
|
section in the system prompt and to enable the ``read_source`` tool.
|
|
metadata: Catch-all for capability-specific extras.
|
|
"""
|
|
|
|
session_id: str = ""
|
|
user_message: str = ""
|
|
conversation_history: list[dict[str, Any]] = field(default_factory=list)
|
|
enabled_tools: list[str] | None = None
|
|
allowed_builtin_tools: list[str] | None = None
|
|
active_capability: str | None = None
|
|
knowledge_bases: list[str] = field(default_factory=list)
|
|
attachments: list[Attachment] = field(default_factory=list)
|
|
config_overrides: dict[str, Any] = field(default_factory=dict)
|
|
language: str = "en"
|
|
memory_context: str = ""
|
|
persona_context: str = ""
|
|
skills_manifest: str = ""
|
|
source_manifest: str = ""
|
|
metadata: dict[str, Any] = field(default_factory=dict)
|