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10
docs/source/build_with_arch/agent.rst
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@ -5,14 +5,14 @@ Agentic Workflow
Arch helps you easily personalize your applications by calling application-specific (API) functions
via user prompts. This involves any predefined functions or APIs you want to expose to users to perform tasks,
gather information, or manipulate data. This capability is generally referred to as **function calling**, where
gather information, or manipulate data. This capability is generally referred to as :ref:`function calling <function_calling>`, where
you have the flexibility to support “agentic” apps tailored to specific use cases - from updating insurance
claims to creating ad campaigns - via prompts.
Arch analyzes prompts, extracts critical information from prompts, engages in lightweight conversation with
the user to gather any missing parameters and makes API calls so that you can focus on writing business logic.
Arch does this via its purpose-built :ref:`Arch-Function <function_calling>` - the fastest (200ms p90 - 10x faser than GPT-4o)
and cheapest (100x than GPT-40) function-calling LLM that matches performance with frontier models.
Arch does this via its purpose-built `Arch-Function <https://huggingface.co/collections/katanemo/arch-function-66f209a693ea8df14317ad68>`_ - the fastest (200ms p90 - 10x faser than GPT-4o)
and cheapest (100x than GPT-4o) function calling LLM that matches performance with frontier models.
.. image:: includes/agent/function-calling-flow.jpg
:width: 100%
@ -31,7 +31,7 @@ Step 1: Define Prompt Targets
.. literalinclude:: includes/agent/function-calling-agent.yaml
:language: yaml
:linenos:
:emphasize-lines: 21-34
:emphasize-lines: 19-49
:caption: Prompt Target Example Configuration
Step 2: Process Request Parameters
@ -66,5 +66,5 @@ Example of Multiple Prompt Targets in YAML:
.. literalinclude:: includes/agent/function-calling-agent.yaml
:language: yaml
:linenos:
:emphasize-lines: 21-34
:emphasize-lines: 19-49
:caption: Prompt Target Example Configuration