10 Commits (d481d887bccea9ccbb1fecbfd053fe2acf078199)

Author	SHA1	Message	Date
mbchang	f1401a6dff	new example: two agent debate with tools (#4024)	1 year ago
liviuasnash1	6396a4ad8d	Fix documentation typos (#3870) ... Co-authored-by: Liviu Asnash <liviua@maximallearning.com>	1 year ago
mbchang	81601d886c	new example: multi-agent simulations with environment (#3928)	1 year ago
mbchang	adcad98bee	fix: fix filepath error in agent simulations docs (#3795)	1 year ago
mbchang	4eefea0fe8	new example: single agent, simulated environment (openai gym) (#3758) ... For many applications of LLM agents, the environment is real (internet, database, REPL, etc). However, we can also define agents to interact in simulated environments like text-based games. This is an example of how to create a simple agent-environment interaction loop with [Gymnasium](https://github.com/Farama-Foundation/Gymnasium) (formerly [OpenAI Gym](https://github.com/openai/gym)).	1 year ago
mbchang	1da3ee1386	Multiagent authoritarian (#3686) ... This notebook showcases how to implement a multi-agent simulation where a privileged agent decides who to speak. This follows the polar opposite selection scheme as [multi-agent decentralized speaker selection](https://python.langchain.com/en/latest/use_cases/agent_simulations/multiagent_bidding.html). We show an example of this approach in the context of a fictitious simulation of a news network. This example will showcase how we can implement agents that - think before speaking - terminate the conversation	1 year ago
mbchang	3b7d27d39e	new example: multiagent dialogue with decentralized speaker selection (#3629) ... This notebook showcases how to implement a multi-agent simulation without a fixed schedule for who speaks when. Instead the agents decide for themselves who speaks. We can implement this by having each agent bid to speak. Whichever agent's bid is the highest gets to speak. We will show how to do this in the example below that showcases a fictitious presidential debate.	1 year ago
mbchang	4bc209c6f7	example: multi player dnd (#3560) ... This notebook shows how the DialogueAgent and DialogueSimulator class make it easy to extend the [Two-Player Dungeons & Dragons example](https://python.langchain.com/en/latest/use_cases/agent_simulations/two_player_dnd.html) to multiple players. The main difference between simulating two players and multiple players is in revising the schedule for when each agent speaks To this end, we augment DialogueSimulator to take in a custom function that determines the schedule of which agent speaks. In the example below, each character speaks in round-robin fashion, with the storyteller interleaved between each player.	1 year ago
mbchang	831ca61481	docs: two_player_dnd docs (#3528)	1 year ago
Zander Chase	f329196cf4	Agents 4 18 (#3122) ... Creating an experimental agents folder, containing BabyAGI, AutoGPT, and later, other examples --------- Co-authored-by: Rahul Behal <rahulbehal01@hotmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago