Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

89 lines
3.0 KiB
Python

#
# Copyright 2026 The Dapr Authors
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""Utility functions for serializing tool execution results."""
import json
from typing import Any
def serialize_tool_result(result: Any) -> str:
"""
Serialize a tool execution result to a JSON string.
Handles various data types including:
- Strings (returned as-is)
- Pydantic models (via model_dump)
- Lists of Pydantic models
- Objects with __dict__
- JSON-serializable primitives
Args:
result: The tool execution result to serialize.
Returns:
str: JSON-serialized string representation of the result.
Examples:
>>> from pydantic import BaseModel
>>> class Flight(BaseModel):
... airline: str
... price: float
>>>
>>> flights = [Flight(airline="SkyHigh", price=450.0)]
>>> serialize_tool_result(flights)
'[{"airline": "SkyHigh", "price": 450.0}]'
"""
# String results are already serialized
if isinstance(result, str):
return result
try:
# Handle lists of objects (most common case for collections)
if isinstance(result, list):
serialized_list = []
for item in result:
if hasattr(item, "model_dump"):
# Pydantic v2 models
serialized_list.append(item.model_dump())
elif hasattr(item, "dict") and callable(item.dict):
# Pydantic v1 models (fallback)
serialized_list.append(item.dict())
elif hasattr(item, "__dict__"):
# Regular objects with __dict__
serialized_list.append(item.__dict__)
else:
# Primitive types or already serializable
serialized_list.append(item)
return json.dumps(serialized_list)
# Handle single Pydantic models
if hasattr(result, "model_dump"):
return json.dumps(result.model_dump())
# Fallback for Pydantic v1
if hasattr(result, "dict") and callable(result.dict):
return json.dumps(result.dict())
# Handle objects with __dict__
if hasattr(result, "__dict__"):
return json.dumps(result.__dict__)
# Try direct JSON serialization for primitives, dicts, lists, etc.
return json.dumps(result)
except (TypeError, ValueError):
# Final fallback: convert to string
# This handles non-JSON-serializable objects gracefully
return str(result)