mirror of
https://github.com/arc53/DocsGPT.git
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21e5c261ef
* feat: template-based prompt rendering with dynamic namespace injection * refactor: improve template engine initialization with clearer formatting * refactor: streamline ReActAgent methods and improve content extraction logic feat: enhance error handling in NamespaceManager and TemplateEngine fix: update NewAgent component to ensure consistent form data submission test: modify tests for ReActAgent and prompt renderer to reflect method changes and improve coverage * feat: tools namespace + three-tier token budget * refactor: remove unused variable assignment in message building tests * Enhance prompt customization and tool pre-fetching functionality * ruff lint fix * refactor: cleaner error handling and reduce code clutter --------- Co-authored-by: Alex <a@tushynski.me>
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
import logging
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from typing import Dict, Generator
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from application.agents.base import BaseAgent
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from application.logging import LogContext
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logger = logging.getLogger(__name__)
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class ClassicAgent(BaseAgent):
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"""A simplified agent with clear execution flow"""
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def _gen_inner(
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self, query: str, log_context: LogContext
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) -> Generator[Dict, None, None]:
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"""Core generator function for ClassicAgent execution flow"""
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tools_dict = (
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self._get_user_tools(self.user)
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if not self.user_api_key
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else self._get_tools(self.user_api_key)
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)
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self._prepare_tools(tools_dict)
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messages = self._build_messages(self.prompt, query)
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llm_response = self._llm_gen(messages, log_context)
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yield from self._handle_response(
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llm_response, tools_dict, messages, log_context
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)
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yield {"sources": self.retrieved_docs}
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yield {"tool_calls": self._get_truncated_tool_calls()}
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log_context.stacks.append(
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{"component": "agent", "data": {"tool_calls": self.tool_calls.copy()}}
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)
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