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  •  
     
     
    -[docs] +[docs] class ReActAgent(Component): __doc__ = r"""ReActAgent uses generator as a planner that runs multiple and sequential functional call steps to generate the final response. @@ -641,7 +641,7 @@

    Source code for components.agent.react

             self.tool_manager = ToolManager(tools=tools)
     
     
    -[docs] +[docs] def reset(self): r"""Reset the agent to start a new query.""" self.step_history = []
    @@ -710,7 +710,7 @@

    Source code for components.agent.react

             return response
     
     
    -[docs] +[docs] def call( self, input: str, diff --git a/apis/components/components.agent.html b/apis/components/components.agent.html index f45c24a3..e8ee4073 100644 --- a/apis/components/components.agent.html +++ b/apis/components/components.agent.html @@ -556,6 +556,38 @@

    Submodules


    +
    +
    +class ReActAgent(tools: List[Callable | Callable[[...], Awaitable[Any]] | FunctionTool] = [], max_steps: int = 10, add_llm_as_fallback: bool = True, *, model_client: ModelClient, model_kwargs: Dict = {})[source]#
    +

    Bases: Component

    +

    ReActAgent uses generator as a planner that runs multiple and sequential functional call steps to generate the final response.

    +

    Users need to set up: +- tools: a list of tools to use to complete the task. Each tool is a function or a function tool. +- max_steps: the maximum number of steps the agent can take to complete the task. +- use_llm_as_fallback: a boolean to decide whether to use an additional LLM model as a fallback tool to answer the query. +- model_client: the model client to use to generate the response. +- model_kwargs: the model kwargs to use to generate the response.

    +

    For the generator, the default arguments are: +(1) default prompt: DEFAULT_REACT_AGENT_SYSTEM_PROMPT +(2) default output_processors: JsonParser

    +

    There are examples which is optional, a list of string examples in the prompt.

    +

    Example:

    +

    Reference: +[1] https://arxiv.org/abs/2210.03629, published in Mar, 2023.

    +
    +
    +reset()[source]#
    +

    Reset the agent to start a new query.

    +
    + +
    +
    +call(input: str, promt_kwargs: Dict | None = {}, model_kwargs: Dict | None = {}) Any[source]#
    +

    prompt_kwargs: additional prompt kwargs to either replace or add to the preset prompt kwargs.

    +
    + +
    + @@ -606,6 +638,11 @@

    Submodules diff --git a/genindex.html b/genindex.html index ba39cebe..5312419f 100644 --- a/genindex.html +++ b/genindex.html @@ -566,7 +566,7 @@

    C

  • (RandomSampler method)
  • -
  • (ReActAgent method), [1] +
  • (ReActAgent method), [1], [2]
  • (RerankerRetriever method), [1], [2]
  • @@ -608,6 +608,13 @@

    C

  • components() (Component method)
  • + components.agent + +
  • +
  • components.agent.react
  • + +
    • components.model_client.utils @@ -698,8 +707,6 @@

      C

    • module
    - -
  • reset_index() (BM25Retriever method), [1], [2] diff --git a/objects.inv b/objects.inv index 9084fa864265ad6f8d850e32036518911b4638b4..dfb678ab5246005246f55c87738464cab79c1fc3 100644 GIT binary patch literal 29984 zcmaI7Q+Ov&v;`X5wr$(`#r7l<+qP|EV%xTDI}_V>=H`FSxexc{K6QWHtE<1-UDdVr zssYg#ka; z)c^NB57E!Ls<{b~qlt}yg{`rPBaxjck+Zpl6OpNfwF%MB(a6rm-qFO#$;6n*#mU0f zjL6g4!jJ*RePgNnm*c@m3&rQP5>sI8wnB1i_pI;yBtl9N%_M+kJn_5@Ul$)LTvo|G z00`c{I5GFz;?w9XEJsEmuXN4>G#>iUg1tVHL^k?rGyZrk(;aZ+C7bv#(%cZQsR*?!cGS=5aL$jhnqdRBAaBwzK#dYq6B z?CvWRsGp53&l3b50-X0_A~ zY5(72t;M`EbS{%gAa?e*1f*8EqN=VfzWikx+Lb3V`9egWJPl$45HP>kLHC^8Qb7Qw zOq6p(k2iKM|ztbW{8!Xo?C*$1 z-u(SWX>la1yUd4Z&`9dJ8Ca4qz!D_o6~Ts#U89F6Ec>|XXGR5+UFq3bdg@TnB>)y0%HtaX|&!;ts!TF(A4Lb9Qsp$A700-M>9W%e5{~mIc zOI_XbafSiCPGPlJEG0aL4Vd+Z(z}vQ(byfncce?o2OZZtZ_tlQxH-k$^|VeA;1rjS zS|=?dCHyU2anMoj%64^r)}&|V(ui4$fG&5roY2wj`SjwPbTeEjDvs*qQe<2E+a%7{ zqzY#u|JA~%YtRKwx}Q7&kljBMadSa9YDslTGa-|f%GSuZ8XJQIFJ;6VY84U;z*KMdMOdIQ+3i6h%Z znH?mx$g$feGzwk49oeVph&iv%L$YQS 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    Python Module Index

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