5 Commits (d481d887bccea9ccbb1fecbfd053fe2acf078199)

Author	SHA1	Message	Date
CG80499	cfd34e268e	Add ReAct eval chain (#3161) ... - Adds GPT-4 eval chain for arbitrary agents using any set of tools - Adds notebook --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
vowelparrot	5ca7ce77cd	Remove pythonrepl from LLM-MathChain (#2943) ... Use numexpr evaluate instead of the python REPL to avoid malicious code injection. Tested against the (limited) math dataset and got the same score as before. For more permissive tools (like the REPL tool itself), other approaches ought to be provided (some combination of Sanitizer + Restricted python + unprivileged-docker + ...), but for a calculator tool, only mathematical expressions should be permitted. See https://github.com/hwchase17/langchain/issues/814	1 year ago
Harrison Chase	c7b083ab56	bump version to 131 (#2391)	1 year ago
Shrined	10dab053b4	Add Enum for agent types (#2321) ... This pull request adds an enum class for the various types of agents used in the project, located in the `agent_types.py` file. Currently, the project is using hardcoded strings for the initialization of these agents, which can lead to errors and make the code harder to maintain. With the introduction of the new enums, the code will be more readable and less error-prone. The new enum members include: - ZERO_SHOT_REACT_DESCRIPTION - REACT_DOCSTORE - SELF_ASK_WITH_SEARCH - CONVERSATIONAL_REACT_DESCRIPTION - CHAT_ZERO_SHOT_REACT_DESCRIPTION - CHAT_CONVERSATIONAL_REACT_DESCRIPTION In this PR, I have also replaced the hardcoded strings with the appropriate enum members throughout the codebase, ensuring a smooth transition to the new approach.	1 year ago
Harrison Chase	2d098e8869	Harrison/agent eval (#1620) ... Co-authored-by: jerwelborn <jeremy.welborn@gmail.com>	2 years ago