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| import asyncio | |
| import json | |
| import time | |
| from datasets import load_dataset | |
| from lagent.agents.stream import PLUGIN_CN, AsyncAgentForInternLM, AsyncMathCoder, get_plugin_prompt | |
| from lagent.llms import INTERNLM2_META | |
| from lagent.llms.lmdeploy_wrapper import AsyncLMDeployPipeline | |
| from lagent.prompts.parsers import PluginParser | |
| # set up the loop | |
| loop = asyncio.new_event_loop() | |
| asyncio.set_event_loop(loop) | |
| # initialize the model | |
| model = AsyncLMDeployPipeline( | |
| path='internlm/internlm2_5-7b-chat', | |
| meta_template=INTERNLM2_META, | |
| model_name='internlm-chat', | |
| tp=1, | |
| top_k=1, | |
| temperature=1.0, | |
| stop_words=['<|im_end|>', '<|action_end|>'], | |
| max_new_tokens=1024, | |
| ) | |
| # ----------------------- interpreter ----------------------- | |
| print('-' * 80, 'interpreter', '-' * 80) | |
| ds = load_dataset('lighteval/MATH', split='test') | |
| problems = [item['problem'] for item in ds.select(range(0, 5000, 2))] | |
| coder = AsyncMathCoder( | |
| llm=model, | |
| interpreter=dict( | |
| type='lagent.actions.AsyncIPythonInterpreter', max_kernels=300), | |
| max_turn=11) | |
| tic = time.time() | |
| coros = [coder(query, session_id=i) for i, query in enumerate(problems)] | |
| res = loop.run_until_complete(asyncio.gather(*coros)) | |
| # print([r.model_dump_json() for r in res]) | |
| print('-' * 120) | |
| print(f'time elapsed: {time.time() - tic}') | |
| with open('./tmp_1.json', 'w') as f: | |
| json.dump([coder.get_steps(i) for i in range(len(res))], | |
| f, | |
| ensure_ascii=False, | |
| indent=4) | |
| # ----------------------- plugin ----------------------- | |
| print('-' * 80, 'plugin', '-' * 80) | |
| plugins = [dict(type='lagent.actions.AsyncArxivSearch')] | |
| agent = AsyncAgentForInternLM( | |
| llm=model, | |
| plugins=plugins, | |
| output_format=dict( | |
| type=PluginParser, | |
| template=PLUGIN_CN, | |
| prompt=get_plugin_prompt(plugins))) | |
| tic = time.time() | |
| coros = [ | |
| agent(query, session_id=i) | |
| for i, query in enumerate(['LLM智能体方向的最新论文有哪些?'] * 50) | |
| ] | |
| res = loop.run_until_complete(asyncio.gather(*coros)) | |
| # print([r.model_dump_json() for r in res]) | |
| print('-' * 120) | |
| print(f'time elapsed: {time.time() - tic}') | |