harrison/fix_logging_api
Harrison Chase 2 years ago
parent 7ec210767a
commit c2580cf401

@ -52,23 +52,25 @@
"Author David Chanoff has collaborated with a U.S. Navy admiral who served as the ambassador to the United Kingdom under which President?\n",
"Thought 1:\u001b[32;1m\u001b[1;3m I need to search David Chanoff and the U.S. Navy admiral, find the ambassador to the United Kingdom, then find the President they served under.\n",
"Action 1: Search[David Chanoff]\u001b[0m\n",
"Observation 0: \u001b[36;1m\u001b[1;3mDavid Chanoff is a noted author of non-fiction work. His work has typically involved collaborations with the principal protagonist of the work concerned. His collaborators have included; Augustus A. White, Joycelyn Elders, Đoàn Văn Toại, William J. Crowe, Ariel Sharon, Kenneth Good and Felix Zandman. He has also written about a wide range of subjects including literary history, education and foreign for The Washington Post, The New Republic and The New York Times Magazine. He has published more than twelve books.\u001b[0m\n",
"Thought 1:\u001b[32;1m\u001b[1;3m David Chanoff has collaborated with many people, so I need to search the U.S. Navy admiral specifically.\n",
"Observation 1: \u001b[36;1m\u001b[1;3mDavid Chanoff is a noted author of non-fiction work. His work has typically involved collaborations with the principal protagonist of the work concerned. His collaborators have included; Augustus A. White, Joycelyn Elders, Đoàn Văn Toại, William J. Crowe, Ariel Sharon, Kenneth Good and Felix Zandman. He has also written about a wide range of subjects including literary history, education and foreign for The Washington Post, The New Republic and The New York Times Magazine. He has published more than twelve books.\u001b[0m\n",
"Thought 2:\u001b[32;1m\u001b[1;3m David Chanoff has collaborated with a U.S. Navy admiral. I need to search the U.S. Navy admiral and find the ambassador to the United Kingdom.\n",
"Action 2: Search[U.S. Navy admiral]\u001b[0m\n",
"Observation 0: \u001b[36;1m\u001b[1;3mAdmiral of the Navy was the highest-possible rank in the United States Navy, prior to the creation of fleet admiral in 1944. The rank is considered to be at least equivalent to that of a five-star admiral, with Admiral George Dewey being the only officer to be appointed to the rank.\u001b[0m\n",
"Thought 1:\u001b[32;1m\u001b[1;3m I need to search the U.S. Navy admiral who served as the ambassador to the United Kingdom.\n",
"Action 3: Search[U.S. Navy admiral ambassador to the United Kingdom]\n",
"Observation 0: Admiral William J. Crowe Jr. was the United States Ambassador to the United Kingdom from 1994 to 1997. He served as Chairman of the Joint Chiefs of Staff from 1985 to 1989.\n",
"Thought 1: Admiral William J. Crowe Jr. served as the United States Ambassador to the United Kingdom from 1994 to 1997. So the President they served under is Bill Clinton.\n",
"Action 4: Finish[Bill Clinton]\n",
"Action 3: Finish[Bill Clinton]\u001b[0m\n",
"Observation 2: \u001b[36;1m\u001b[1;3mAdmiral of the Navy was the highest-possible rank in the United States Navy, prior to the creation of fleet admiral in 1944. The rank is considered to be at least equivalent to that of a five-star admiral, with Admiral George Dewey being the only officer to be appointed to the rank.\u001b[0m\n",
"Thought 3:\u001b[32;1m\u001b[1;3m The U.S. Navy admiral is Admiral George Dewey. I need to search Admiral George Dewey and find the ambassador to the United Kingdom.\n",
"Action 3: Search[Admiral George Dewey]\u001b[0m\n",
"Observation 3: \u001b[36;1m\u001b[1;3mGeorge Dewey (December 26, 1837 January 16, 1917) was Admiral of the Navy, the only person in United States history to have attained that rank. He is best known for his victory at the Battle of Manila Bay during the SpanishAmerican War, with the loss of only a single crewman on the American side.\n",
"Dewey was born in Montpelier, Vermont. At age 15, Dewey's father enrolled him at Norwich University in Northfield, Vermont. Two years later Norwich expelled him for drunkenness and herding sheep into the barracks. Summarily, he entered the United States Naval Academy in 1854. He graduated from the academy in 1858 and was assigned as the executive lieutenant of the USS Mississippi at the beginning of the Civil War. He participated in the capture of New Orleans and the Siege of Port Hudson, helping the Union take control of the Mississippi River. By the end of the war, Dewey reached the rank of lieutenant commander.\n",
"After the Civil War, Dewey undertook a variety of assignments, serving on multiple ships (including the USS Constitution) and as an instructor at the Naval Academy. He also served on the United States Lighthouse Board and the Board of Inspection and Survey. He was promoted to commodore in 1896 and assigned to the Asiatic Squadron the following year. After that appointment, he began preparations for a potential war with Spain, which broke out in April 1898. Immediately after the beginning of the war, Dewey led an attack on Manila Bay, sinking the entire Spanish Pacific fleet while suffering only minor casualties. After the battle, his fleet assisted in the capture of Manila. Dewey's victory at Manila Bay was widely lauded in the United States, and he was promoted to Admiral of the Navy in 1903.\n",
"Dewey explored a run for the 1900 Democratic presidential nomination, but he withdrew from the race and endorsed President William McKinley. He served on the General Board of the United States Navy, an important policy-making body, from 1900 until his death in 1917.\u001b[0m\n",
"Thought 4:\u001b[32;1m\u001b[1;3m Admiral George Dewey served as the ambassador to the United Kingdom under President William McKinley.\n",
"Action 4: Finish[William McKinley]\u001b[0m\n",
"\u001b[1m> Finished ReActDocstoreAgent chain.\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"'Bill Clinton'"
"'William McKinley'"
]
},
"execution_count": 2,

@ -130,7 +130,7 @@ class Agent(Chain, BaseModel, ABC):
# prompts the LLM to take an action.
starter_string = text + self.starter_string + self.llm_prefix
# We use the ChainedInput class to iteratively add to the input over time.
chained_input = ChainedInput(starter_string, self.observation_prefix, self.llm_prefix, verbose=self.verbose)
chained_input = ChainedInput(starter_string, verbose=self.verbose)
# We construct a mapping from each tool to a color, used for logging.
color_mapping = get_color_mapping(
[tool.name for tool in self.tools], excluded_colors=["green"]
@ -149,4 +149,4 @@ class Agent(Chain, BaseModel, ABC):
# We then call the tool on the tool input to get an observation
observation = chain(output.tool_input)
# We then log the observation
chained_input.add_observation(observation, color=color_mapping[output.tool])
chained_input.add_observation(observation, self.observation_prefix, self.llm_prefix, color=color_mapping[output.tool])

@ -8,14 +8,12 @@ from langchain.logger import logger
class ChainedInput:
"""Class for working with input that is the result of chains."""
def __init__(self, text: str, observation_prefix: str, llm_prefix: str, verbose: bool = False):
def __init__(self, text: str, verbose: bool = False):
"""Initialize with verbose flag and initial text."""
self._verbose = verbose
if self._verbose:
logger.log_agent_start(text)
self._input = text
self._observation_prefix = observation_prefix
self._llm_prefix = llm_prefix
def add_action(self, action: AgentAction, color: Optional[str] = None) -> None:
"""Add text to input, print if in verbose mode."""
@ -23,16 +21,16 @@ class ChainedInput:
logger.log_agent_action(action, color=color)
self._input += action.log
def add_observation(self, observation: str, color: Optional[str]) -> None:
def add_observation(self, observation: str, observation_prefix: str, llm_prefix: str, color: Optional[str]) -> None:
"""Add observation to input, print if in verbose mode."""
if self._verbose:
logger.log_agent_observation(
observation,
color=color,
observation_prefix=self._observation_prefix,
llm_prefix=self._llm_prefix,
observation_prefix=observation_prefix,
llm_prefix=llm_prefix,
)
self._input += f"\n{self._observation_prefix}{observation}\n{self._llm_prefix}"
self._input += f"\n{observation_prefix}{observation}\n{llm_prefix}"
@property
def input(self) -> str:

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