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d4ab77de5c
* fix: migrate from deprecated create_react_agent to langchain.agents.create_agent Fixes #799 - Replace deprecated langgraph.prebuilt.create_react_agent with langchain.agents.create_agent (LangGraph 1.0 migration) - Add DynamicPromptMiddleware to handle dynamic prompt templates (replaces the 'prompt' callable parameter) - Add PreModelHookMiddleware to handle pre-model hooks (replaces the 'pre_model_hook' parameter) - Update AgentState import from langchain.agents in template.py - Update tests to use the new API * fix:update the code with review comments
89 lines
3.1 KiB
Python
89 lines
3.1 KiB
Python
# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
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# SPDX-License-Identifier: MIT
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import dataclasses
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import os
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from datetime import datetime
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from jinja2 import Environment, FileSystemLoader, TemplateNotFound, select_autoescape
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from langchain.agents import AgentState
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from src.config.configuration import Configuration
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# Initialize Jinja2 environment
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env = Environment(
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loader=FileSystemLoader(os.path.dirname(__file__)),
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autoescape=select_autoescape(),
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trim_blocks=True,
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lstrip_blocks=True,
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)
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def get_prompt_template(prompt_name: str, locale: str = "en-US") -> str:
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"""
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Load and return a prompt template using Jinja2 with locale support.
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Args:
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prompt_name: Name of the prompt template file (without .md extension)
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locale: Language locale (e.g., en-US, zh-CN). Defaults to en-US
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Returns:
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The template string with proper variable substitution syntax
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"""
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try:
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# Normalize locale format
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normalized_locale = locale.replace("-", "_") if locale and locale.strip() else "en_US"
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# Try locale-specific template first (e.g., researcher.zh_CN.md)
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try:
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template = env.get_template(f"{prompt_name}.{normalized_locale}.md")
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return template.render()
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except TemplateNotFound:
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# Fallback to English template if locale-specific not found
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template = env.get_template(f"{prompt_name}.md")
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return template.render()
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except Exception as e:
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raise ValueError(f"Error loading template {prompt_name} for locale {locale}: {e}")
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def apply_prompt_template(
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prompt_name: str, state: AgentState, configurable: Configuration = None, locale: str = "en-US"
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) -> list:
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"""
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Apply template variables to a prompt template and return formatted messages.
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Args:
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prompt_name: Name of the prompt template to use
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state: Current agent state containing variables to substitute
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configurable: Configuration object with additional variables
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locale: Language locale for template selection (e.g., en-US, zh-CN)
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Returns:
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List of messages with the system prompt as the first message
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"""
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# Convert state to dict for template rendering
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state_vars = {
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"CURRENT_TIME": datetime.now().strftime("%a %b %d %Y %H:%M:%S %z"),
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**state,
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}
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# Add configurable variables
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if configurable:
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state_vars.update(dataclasses.asdict(configurable))
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try:
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# Normalize locale format
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normalized_locale = locale.replace("-", "_") if locale and locale.strip() else "en_US"
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# Try locale-specific template first
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try:
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template = env.get_template(f"{prompt_name}.{normalized_locale}.md")
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except TemplateNotFound:
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# Fallback to English template
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template = env.get_template(f"{prompt_name}.md")
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system_prompt = template.render(**state_vars)
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return [{"role": "system", "content": system_prompt}] + state["messages"]
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except Exception as e:
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raise ValueError(f"Error applying template {prompt_name} for locale {locale}: {e}")
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