19 Commits (062c3c00a2b945700880d4512d193d3ea9caeb35)

Author	SHA1	Message	Date
mbchang	ce6dbe41a9	minor refactor GenerativeAgentMemory (#5315) ... # minor refactor of GenerativeAgentMemory <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. --> <!-- Remove if not applicable --> - refactor `format_memories_detail` to be more reusable - modified prompts for getting topics for reflection and for generating insights - update `characters.ipynb` to reflect changes ## Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 --> @vowelparrot @hwchase17 @dev2049	1 year ago
mbchang	9fafe7b2b9	fix: remove unnecessary line of code (#4408) ... Removes unnecessary line of code in https://python.langchain.com/en/latest/use_cases/agent_simulations/two_agent_debate_tools.html	1 year ago
mbchang	f1401a6dff	new example: two agent debate with tools (#4024)	1 year ago
mbchang	cdea47491d	refactor: refactor dialogue examples (DialogueAgent, DialogueSimulator) (#4074) ... refactor dialogue examples to have same DialogueAgent and DialogueSimulator definitions	1 year ago
mbchang	f291fd7eed	docs: remove stdout from pip install (for gymnasium) (#3993)	1 year ago
mbchang	3993166b5e	docs: remove stdout from pip install (#3945)	1 year ago
mbchang	ffc87233a1	refactor GymnasiumAgent (#3927) ... refactor GymnasiumAgent (for single-agent environments) to be extensible to PettingZooAgent (multi-agent environments)	1 year ago
mbchang	81601d886c	new example: multi-agent simulations with environment (#3928)	1 year ago
mbchang	3e1cb31f63	fix: add import for gymnasium (#3899)	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
Harrison Chase	c55ba43093	Harrison/vespa (#3761) ... Co-authored-by: Lester Solbakken <lesters@users.noreply.github.com>	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	628e93a9a0	docs: simplification of two agent d&d simulation (#3550) ... Simplifies the [Two Agent D&D](https://python.langchain.com/en/latest/use_cases/agent_simulations/two_player_dnd.html) example with a cleaner, simpler interface that is extensible for multiple agents. `DialogueAgent`: - `send()`: applies the chatmodel to the message history and returns the message string - `receive(name, message)`: adds the `message` spoken by `name` to message history The `DialogueSimulator` class takes a list of agents. At each step, it performs the following: 1. Select the next speaker 2. Calls the next speaker to send a message 3. Broadcasts the message to all other agents 4. Update the step counter. The selection of the next speaker can be implemented as any function, but in this case we simply loop through the agents.	1 year ago
mbchang	a08e9a3109	Docs: fix naming typo (#3532)	1 year ago
mbchang	29f321046e	doc: add two player D&D game (#3476) ... In this notebook, we show how we can use concepts from [CAMEL](https://www.camel-ai.org/) to simulate a role-playing game with a protagonist and a dungeon master. To simulate this game, we create a `TwoAgentSimulator` class that coordinates the dialogue between the two agents.	1 year ago
Zander Chase	738ee56b86	Move Generative Agent definition to Experimental (#3245) ... Extending @BeautyyuYanli 's #3220 to move from the notebook --------- Co-authored-by: BeautyyuYanli <beautyyuyanli@gmail.com>	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