Add tools for knowledge persistence (saving messages/websites) and visual attachment analysis.

This commit is contained in:
2026-06-15 15:04:56 +02:00
parent b2f1aeba42
commit 48cf63d535
2 changed files with 135 additions and 0 deletions

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from __future__ import annotations
from typing import Any, Dict
from ...local_rag import CreateWebsiteRequest, create_library_website
from ..registry import NativeToolProvider, ToolDefinition, ToolExecutionContext
async def save_message_handler(arguments: Dict[str, Any], context: ToolExecutionContext) -> Dict[str, Any]:
from ... import main as main_module
db = context.db_factory()
try:
result = await main_module._save_message_to_knowledge_impl(
arguments["library_slug"],
arguments["message_id"],
db,
title=arguments.get("title"),
content=arguments.get("edited_content"),
saved_by="agent" if context.selection_mode == "automatic" else "user",
)
finally:
db.close()
return {"status": "saved", "confirmed": True, "result": result}
async def save_website_handler(arguments: Dict[str, Any], context: ToolExecutionContext) -> Dict[str, Any]:
result = await create_library_website(
arguments["library_slug"],
CreateWebsiteRequest(url=arguments["url"], title=arguments.get("title")),
)
return {"status": "saved", "confirmed": True, "result": result}
SAVE_OUTPUT = {
"type": "object",
"properties": {
"status": {"type": "string"},
"confirmed": {"type": "boolean"},
"result": {"type": "object"},
},
"required": ["status", "confirmed", "result"],
"additionalProperties": False,
}
def register_saving_tools(registry: NativeToolProvider) -> None:
registry.register(ToolDefinition(
name="heimgeist.save_message_to_knowledge",
description="Save a stable chat message snapshot to a Heimgeist knowledge library.",
input_schema={
"type": "object",
"properties": {
"message_id": {"type": "string", "minLength": 1},
"library_slug": {"type": "string", "minLength": 1},
"title": {"type": ["string", "null"]},
"edited_content": {"type": ["string", "null"]},
},
"required": ["message_id", "library_slug"],
"additionalProperties": False,
},
output_schema=SAVE_OUTPUT,
handler=save_message_handler,
risk_level="write",
requires_confirmation=True,
timeout_seconds=180,
))
registry.register(ToolDefinition(
name="heimgeist.save_website_to_knowledge",
description="Fetch and save a durable website snapshot to a Heimgeist knowledge library.",
input_schema={
"type": "object",
"properties": {
"url": {"type": "string", "minLength": 1},
"library_slug": {"type": "string", "minLength": 1},
"title": {"type": ["string", "null"]},
},
"required": ["url", "library_slug"],
"additionalProperties": False,
},
output_schema=SAVE_OUTPUT,
handler=save_website_handler,
risk_level="write",
requires_confirmation=True,
timeout_seconds=180,
))

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from __future__ import annotations
from typing import Any, Dict
from ..registry import NativeToolProvider, ToolDefinition, ToolExecutionContext
async def vision_analyze_handler(arguments: Dict[str, Any], _context: ToolExecutionContext) -> Dict[str, Any]:
from ... import main as main_module
prepared, _images, context_block = await main_module._prepare_chat_message_attachments(
arguments.get("attachments") or [],
request_model_supports_vision=False,
vision_model=arguments.get("vision_model"),
transcription_model=arguments.get("transcription_model"),
persist_file_text=False,
)
return {
"context_block": context_block,
"attachments": [main_module._attachment_history_payload(item) for item in prepared],
"sources": [],
}
def register_vision_tools(registry: NativeToolProvider) -> None:
registry.register(ToolDefinition(
name="heimgeist.vision_analyze",
description="Analyze chat attachments through Heimgeist's existing vision and extraction path.",
input_schema={
"type": "object",
"properties": {
"attachments": {"type": "array"},
"vision_model": {"type": "string", "minLength": 1},
"transcription_model": {"type": ["string", "null"]},
},
"required": ["attachments", "vision_model"],
"additionalProperties": False,
},
output_schema={
"type": "object",
"properties": {"context_block": {"type": "string"}, "attachments": {"type": "array"}, "sources": {"type": "array"}},
"required": ["context_block", "attachments", "sources"],
"additionalProperties": False,
},
handler=vision_analyze_handler,
timeout_seconds=600,
result_size_limit=140_000,
llm_call=True,
))