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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.
103 lines
3.7 KiB
Python
103 lines
3.7 KiB
Python
import logging
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import requests
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from application.agents.tools.base import Tool
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logger = logging.getLogger(__name__)
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class TelegramTool(Tool):
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"""
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Telegram Bot
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A flexible Telegram tool for performing various actions (e.g., sending messages, images).
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Requires a bot token and chat ID for configuration
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"""
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def __init__(self, config):
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self.config = config
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self.token = config.get("token", "")
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def execute_action(self, action_name, **kwargs):
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actions = {
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"telegram_send_message": self._send_message,
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"telegram_send_image": self._send_image,
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}
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if action_name not in actions:
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raise ValueError(f"Unknown action: {action_name}")
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return actions[action_name](**kwargs)
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def _send_message(self, text, chat_id):
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logger.debug("Sending Telegram message to chat_id=%s", chat_id)
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url = f"https://api.telegram.org/bot{self.token}/sendMessage"
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payload = {"chat_id": chat_id, "text": text}
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response = requests.post(url, data=payload, timeout=100)
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return {"status_code": response.status_code, "message": "Message sent"}
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def _send_image(self, image_url, chat_id):
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logger.debug("Sending Telegram image to chat_id=%s", chat_id)
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url = f"https://api.telegram.org/bot{self.token}/sendPhoto"
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payload = {"chat_id": chat_id, "photo": image_url}
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response = requests.post(url, data=payload, timeout=100)
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return {"status_code": response.status_code, "message": "Image sent"}
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def get_actions_metadata(self):
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return [
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{
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"name": "telegram_send_message",
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"description": (
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"Send a text message to the configured Telegram chat via "
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"the bot. Compose the final message text before sending."
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),
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"parameters": {
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"type": "object",
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"properties": {
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"text": {
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"type": "string",
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"description": "Text to send in the notification",
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},
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"chat_id": {
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"type": "string",
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"description": "Chat ID to send the notification to",
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},
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},
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"required": ["text"],
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"additionalProperties": False,
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},
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},
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{
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"name": "telegram_send_image",
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"description": (
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"Send an image to the configured Telegram chat. Requires "
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"a publicly accessible image URL."
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),
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"parameters": {
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"type": "object",
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"properties": {
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"image_url": {
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"type": "string",
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"description": "URL of the image to send",
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},
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"chat_id": {
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"type": "string",
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"description": "Chat ID to send the image to",
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},
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},
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"required": ["image_url"],
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"additionalProperties": False,
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},
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},
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]
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def get_config_requirements(self):
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return {
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"token": {
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"type": "string",
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"label": "Bot Token",
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"description": "Telegram bot token for authentication",
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"required": True,
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"secret": True,
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"order": 1,
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},
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}
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