as an artifact, there are also console logs and under the plots section, you'll find tables that represent the flow of the chain.Finally, if you enabled visualizations, these are stored as HTML files under debug samples.Scenario 2: Creating an agent with tools‚ÄãTo show a more advanced workflow, let's create an agent with access to tools. The way ClearML tracks the results is not different though, only the table will look slightly different as there are other types of actions taken when compared to the earlier, simpler example.You can now also see the use of the finish=True keyword, which will fully close the ClearML Task, instead of just resetting the parameters and prompts for a new conversation.from langchain.agents import initialize_agent, load_toolsfrom langchain.agents import AgentType# SCENARIO 2 - Agent with Toolstools = load_tools(["serpapi", "llm-math"], llm=llm, callbacks=callbacks)agent = initialize_agent(    tools,    llm,    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,    callbacks=callbacks,)agent.run("Who is the wife of the person who sang summer of 69?")clearml_callback.flush_tracker(    langchain_asset=agent, name="Agent with Tools", finish=True)            > Entering new AgentExecutor chain...    {'action': 'on_chain_start', 'name': 'AgentExecutor', 'step': 1, 'starts': 1, 'ends': 0, 'errors': 0, 'text_ctr': 0, 'chain_starts': 1, 'chain_ends': 0, 'llm_starts': 0, 'llm_ends': 0, 'llm_streams': 0, 'tool_starts': 0, 'tool_ends': 0, 'agent_ends': 0, 'input': 'Who is the wife of the person who sang summer of 69?'}    {'action': 'on_llm_start', 'name': 'OpenAI', 'step': 2, 'starts': 2, 'ends': 0, 'errors': 0, 'text_ctr': 0, 'chain_starts': 1, 'chain_ends': 0, 'llm_starts': 1, 'llm_ends': 0, 'llm_streams': 0, 'tool_starts': 0, 'tool_ends': 0, 'agent_ends': 0, 'prompts': 'Answer the following questions as best you can. You have access to the following tools:\n\nSearch: A search engine. Useful for when you need to answer questions about current events.
ClearML is a ML/DL development and production suite, it contains 5 main modules:
ClearML is a ML/DL development and production suite, it contains 5 main modules: ->: as an artifact, there are also console logs and under the plots section, you'll find tables that represent the flow of the chain.Finally, if you enabled visualizations, these are stored as HTML files under debug samples.Scenario 2: Creating an agent with tools‚ÄãTo show a more advanced workflow, let's create an agent with access to tools. The way ClearML tracks the results is not different though, only the table will look slightly different as there are other types of actions taken when compared to the earlier, simpler example.You can now also see the use of the finish=True keyword, which will fully close the ClearML Task, instead of just resetting the parameters and prompts for a new conversation.from langchain.agents import initialize_agent, load_toolsfrom langchain.agents import AgentType# SCENARIO 2 - Agent with Toolstools = load_tools(["serpapi", "llm-math"], llm=llm, callbacks=callbacks)agent = initialize_agent(    tools,    llm,    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,    callbacks=callbacks,)agent.run("Who is the wife of the person who sang summer of 69?")clearml_callback.flush_tracker(    langchain_asset=agent, name="Agent with Tools", finish=True)            > Entering new AgentExecutor chain...    {'action': 'on_chain_start', 'name': 'AgentExecutor', 'step': 1, 'starts': 1, 'ends': 0, 'errors': 0, 'text_ctr': 0, 'chain_starts': 1, 'chain_ends': 0, 'llm_starts': 0, 'llm_ends': 0, 'llm_streams': 0, 'tool_starts': 0, 'tool_ends': 0, 'agent_ends': 0, 'input': 'Who is the wife of the person who sang summer of 69?'}    {'action': 'on_llm_start', 'name': 'OpenAI', 'step': 2, 'starts': 2, 'ends': 0, 'errors': 0, 'text_ctr': 0, 'chain_starts': 1, 'chain_ends': 0, 'llm_starts': 1, 'llm_ends': 0, 'llm_streams': 0, 'tool_starts': 0, 'tool_ends': 0, 'agent_ends': 0, 'prompts': 'Answer the following questions as best you can. You have access to the following tools:\n\nSearch: A search engine. Useful for when you need to answer questions about current events.