codefuse-chatbot/examples/agent_examples/codeReactPhase_example.py

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import os, sys, requests
src_dir = os.path.join(
os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
)
sys.path.append(src_dir)
from dev_opsgpt.tools import (
toLangchainTools, get_tool_schema, DDGSTool, DocRetrieval,
TOOL_DICT, TOOL_SETS
)
from configs.model_config import *
from dev_opsgpt.connector.phase import BasePhase
from dev_opsgpt.connector.agents import BaseAgent
from dev_opsgpt.connector.chains import BaseChain
from dev_opsgpt.connector.schema import (
Message, Memory, load_role_configs, load_phase_configs, load_chain_configs
)
from dev_opsgpt.connector.configs import AGETN_CONFIGS, CHAIN_CONFIGS, PHASE_CONFIGS
import importlib
tools = toLangchainTools([TOOL_DICT[i] for i in TOOL_SETS if i in TOOL_DICT])
role_configs = load_role_configs(AGETN_CONFIGS)
chain_configs = load_chain_configs(CHAIN_CONFIGS)
phase_configs = load_phase_configs(PHASE_CONFIGS)
agent_module = importlib.import_module("dev_opsgpt.connector.agents")
phase_name = "codeReactPhase"
phase = BasePhase(phase_name,
task = None,
phase_config = PHASE_CONFIGS,
chain_config = CHAIN_CONFIGS,
role_config = AGETN_CONFIGS,
do_summary=False,
do_code_retrieval=False,
do_doc_retrieval=True,
do_search=False,
)
# round-1
query_content = "确认本地是否存在book_data.csv并查看它有哪些列和数据类型;然后画柱状图"
query = Message(
role_name="human", role_type="user",
role_content=query_content, input_query=query_content, origin_query=query_content,
)
output_message, _ = phase.step(query)