mirror of
https://github.com/tiennm99/DocsGPT.git
synced 2026-10-04 20:13:04 +00:00
Rewrite the default/creative/strict presets (classic + agentic) into
structured sections: grounding and cite-by-title guidance, insufficient-
context behavior, current date, respond-in-user-language, scoped mermaid
usage, an untrusted-content guardrail, and a conditional XML-tagged
document context block. A memory directory listing is injected at render
time via the template prefetch mechanism so the model starts oriented
without burning a tool call.
Fixes along the way:
- Agentic preset swap was dead code: _get_prompt_content cached the
classic preset before create_agent's swap check ran, so agentic and
research agents always got the classic preset. The swap now happens
inside _get_prompt_content.
- Jinja autoescape corrupted document content in custom prompts
(< -> <); prompts are not HTML, autoescape is now off.
- Literal {summaries} leaked into the prompt when no docs were
retrieved; the placeholder is now stripped.
- Agentic/research prompts referenced tool names from a dropped naming
scheme (search_internal, reason_think); they now reference the real
names (search, reason).
- The strict preset told the model to "be very creative and use your
imagination" right after "never make up information".
- extract_tool_usages recorded intermediate attribute chains as
bare-tool usages, which meant "run all actions" at prefetch; only
maximal chains are recorded now.
- Headless runs retrieved docs but never rendered them into the
prompt; the prompt is now rendered like the streaming path.
- Default tools were unreachable by name in prompt templates
(prefetch results were keyed by synthetic id only); defaults now
claim the name key unless an explicit row shadows it.
Tool layer: memory/notes/todo actions are namespaced (memory_view,
note_overwrite, todo_create, ...) with legacy unprefixed names still
accepted via prefix stripping; duplicate action names across tools are
disambiguated with the owning tool's name instead of numeric suffixes;
thin tool descriptions rewritten (brave, duckduckgo, telegram, ntfy,
cryptoprice, read_webpage, internal_search, think).
Docs are now wrapped per chunk in <document index>/<source>/<content>
tags for citation-by-title support.
71 lines
2.0 KiB
Python
71 lines
2.0 KiB
Python
from application.agents.tools.base import Tool
|
|
|
|
|
|
THINK_TOOL_ID = "think"
|
|
|
|
THINK_TOOL_ENTRY = {
|
|
"name": "think",
|
|
"actions": [
|
|
{
|
|
"name": "reason",
|
|
"description": (
|
|
"Use this tool to think through your reasoning step by step "
|
|
"before deciding on your next action. Always reason before "
|
|
"searching or answering."
|
|
),
|
|
"active": True,
|
|
"parameters": {
|
|
"properties": {
|
|
"reasoning": {
|
|
"type": "string",
|
|
"description": "Your step-by-step reasoning and analysis",
|
|
"filled_by_llm": True,
|
|
"required": True,
|
|
}
|
|
}
|
|
},
|
|
}
|
|
],
|
|
}
|
|
|
|
|
|
class ThinkTool(Tool):
|
|
"""Pseudo-tool that captures chain-of-thought reasoning.
|
|
|
|
Returns a short acknowledgment so the LLM can continue.
|
|
The reasoning content is captured in tool_call data for transparency.
|
|
"""
|
|
|
|
internal = True
|
|
|
|
def __init__(self, config=None):
|
|
pass
|
|
|
|
def execute_action(self, action_name: str, **kwargs):
|
|
return "Continue."
|
|
|
|
def get_actions_metadata(self):
|
|
return [
|
|
{
|
|
"name": "reason",
|
|
"description": (
|
|
"Use this tool to think through a complex step — analyze "
|
|
"tool results, weigh options, or plan multi-step work — "
|
|
"before taking your next action."
|
|
),
|
|
"parameters": {
|
|
"properties": {
|
|
"reasoning": {
|
|
"type": "string",
|
|
"description": "Your step-by-step reasoning and analysis",
|
|
"filled_by_llm": True,
|
|
"required": True,
|
|
}
|
|
}
|
|
},
|
|
}
|
|
]
|
|
|
|
def get_config_requirements(self):
|
|
return {}
|