Steve Dudenhoeffer
090b28d956
Refactored LLM handling to use updated langchaingo models and tools, replacing gollm dependencies. Introduced agent-related utilities, tools, and counters for better modular functionality. Added a parser for LLM model configuration and revamped the answering mechanism with enhanced support for tool-based interaction.
75 lines
1.5 KiB
Go
75 lines
1.5 KiB
Go
package agent
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import (
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"reflect"
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"github.com/tmc/langchaingo/llms"
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)
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type Tool struct {
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Name string
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Description string
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Function function
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}
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func (t *Tool) Tool() llms.Tool {
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return llms.Tool{
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Type: "function",
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Function: t.Definition(),
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}
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}
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func (t *Tool) Definition() *llms.FunctionDefinition {
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var properties = map[string]any{}
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for name, arg := range t.Function.args {
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properties[name] = arg.Schema()
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}
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var res = llms.FunctionDefinition{
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Name: t.Name,
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Description: t.Description,
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Parameters: map[string]any{"type": "object", "properties": properties},
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}
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return &res
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}
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// Execute executes the tool with the given context and arguments.
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// Returns the result of the execution and an error if the operation fails.
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// The arguments must be a JSON-encoded string that represents the struct to be passed to the function.
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func (t *Tool) Execute(ctx *Context, args string) (FuncResponse, error) {
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return t.Function.Execute(ctx, args)
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}
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func FromFunction[T any](fn func(*Context, T) (FuncResponse, error)) *Tool {
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f, err := analyzeFunction(fn)
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if err != nil {
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panic(err)
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}
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return &Tool{
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Name: reflect.TypeOf(fn).Name(),
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Description: "This is a tool",
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Function: f,
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}
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}
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func (t *Tool) WithName(name string) *Tool {
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t.Name = name
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return t
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}
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func (t *Tool) WithDescription(description string) *Tool {
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t.Description = description
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return t
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}
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func (t *Tool) WithFunction(fn any) *Tool {
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f, err := analyzeFuncFromReflect(reflect.ValueOf(fn))
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if err != nil {
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panic(err)
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}
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t.Function = f
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return t
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}
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