275 lines
6.6 KiB
Go
275 lines
6.6 KiB
Go
package agent
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import (
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"context"
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"fmt"
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"time"
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"github.com/mudler/local-agent-framework/action"
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"github.com/sashabaranov/go-openai"
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)
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type ActionState struct {
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ActionCurrentState
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Result string
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}
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type ActionCurrentState struct {
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Action Action
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Params action.ActionParams
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Reasoning string
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}
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// Actions is something the agent can do
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type Action interface {
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Run(ctx context.Context, action action.ActionParams) (string, error)
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Definition() action.ActionDefinition
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}
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type Actions []Action
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func (a Actions) ToTools() []openai.Tool {
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tools := []openai.Tool{}
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for _, action := range a {
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tools = append(tools, openai.Tool{
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Type: openai.ToolTypeFunction,
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Function: action.Definition().ToFunctionDefinition(),
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})
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}
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return tools
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}
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func (a Actions) Find(name string) Action {
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for _, action := range a {
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if action.Definition().Name.Is(name) {
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return action
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}
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}
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return nil
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}
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type decisionResult struct {
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actionParams action.ActionParams
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message string
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}
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// decision forces the agent to take one of the available actions
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func (a *Agent) decision(
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ctx context.Context,
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conversation []openai.ChatCompletionMessage,
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tools []openai.Tool, toolchoice any) (*decisionResult, error) {
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decision := openai.ChatCompletionRequest{
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Model: a.options.LLMAPI.Model,
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Messages: conversation,
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Tools: tools,
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ToolChoice: toolchoice,
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}
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resp, err := a.client.CreateChatCompletion(ctx, decision)
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if err != nil {
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return nil, err
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}
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if len(resp.Choices) != 1 {
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return nil, fmt.Errorf("no choices: %d", len(resp.Choices))
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}
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msg := resp.Choices[0].Message
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if len(msg.ToolCalls) != 1 {
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return &decisionResult{message: msg.Content}, nil
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}
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params := action.ActionParams{}
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if err := params.Read(msg.ToolCalls[0].Function.Arguments); err != nil {
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return nil, err
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}
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return &decisionResult{actionParams: params}, nil
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}
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type Messages []openai.ChatCompletionMessage
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func (m Messages) ToOpenAI() []openai.ChatCompletionMessage {
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return []openai.ChatCompletionMessage(m)
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}
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func (m Messages) Exist(content string) bool {
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for _, cc := range m {
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if cc.Content == content {
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return true
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}
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}
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return false
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}
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func (a *Agent) generateParameters(ctx context.Context, pickTemplate string, act Action, c []openai.ChatCompletionMessage, reasoning string) (*decisionResult, error) {
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var promptHUD *PromptHUD
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if a.options.enableHUD {
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h := a.prepareHUD()
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promptHUD = &h
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}
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stateHUD, err := renderTemplate(pickTemplate, promptHUD, a.systemInternalActions(), reasoning)
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if err != nil {
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return nil, err
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}
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// check if there is already a message with the hud in the conversation already, otherwise
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// add a message at the top with it
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conversation := c
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if !Messages(c).Exist(stateHUD) && a.options.enableHUD {
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conversation = append([]openai.ChatCompletionMessage{
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{
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Role: "system",
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Content: stateHUD,
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},
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}, conversation...)
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}
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return a.decision(ctx,
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append(conversation, openai.ChatCompletionMessage{
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Role: "system",
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Content: fmt.Sprintf("The agent decided to use the tool %s with the following reasoning: %s", act.Definition().Name, reasoning),
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}),
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a.systemInternalActions().ToTools(),
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openai.ToolChoice{
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Type: openai.ToolTypeFunction,
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Function: openai.ToolFunction{Name: act.Definition().Name.String()},
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},
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)
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}
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func (a *Agent) systemInternalActions() Actions {
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defaultActions := append(a.options.userActions, action.NewReply())
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if a.options.initiateConversations && a.selfEvaluationInProgress { // && self-evaluation..
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acts := append(defaultActions, action.NewConversation())
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if a.options.enableHUD {
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acts = append(acts, action.NewState())
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}
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//if a.options.canStopItself {
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// acts = append(acts, action.NewStop())
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// }
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return acts
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}
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if a.options.canStopItself {
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acts := append(defaultActions, action.NewStop())
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if a.options.enableHUD {
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acts = append(acts, action.NewState())
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}
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return acts
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}
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if a.options.enableHUD {
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return append(defaultActions, action.NewState())
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}
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return defaultActions
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}
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func (a *Agent) prepareHUD() PromptHUD {
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return PromptHUD{
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Character: a.Character,
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CurrentState: *a.currentState,
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PermanentGoal: a.options.permanentGoal,
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ShowCharacter: a.options.showCharacter,
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Time: time.Now().Format(time.RFC3339),
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}
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}
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// pickAction picks an action based on the conversation
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func (a *Agent) pickAction(ctx context.Context, templ string, messages []openai.ChatCompletionMessage) (Action, string, error) {
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c := messages
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var promptHUD *PromptHUD
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if a.options.enableHUD {
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h := a.prepareHUD()
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promptHUD = &h
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}
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prompt, err := renderTemplate(templ, promptHUD, a.systemInternalActions(), "")
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if err != nil {
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return nil, "", err
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}
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// Get the LLM to think on what to do
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// and have a thought
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if !Messages(c).Exist(prompt) {
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c = append([]openai.ChatCompletionMessage{
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{
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Role: "system",
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Content: prompt,
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},
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}, c...)
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}
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// We also could avoid to use functions here and get just a reply from the LLM
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// and then use the reply to get the action
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thought, err := a.decision(ctx,
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c,
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Actions{action.NewReasoning()}.ToTools(),
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action.NewReasoning().Definition().Name)
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if err != nil {
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return nil, "", err
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}
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reason := ""
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response := &action.ReasoningResponse{}
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if thought.actionParams != nil {
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if err := thought.actionParams.Unmarshal(response); err != nil {
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return nil, "", err
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}
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reason = response.Reasoning
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}
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if thought.message != "" {
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reason = thought.message
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}
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// From the thought, get the action call
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// Get all the available actions IDs
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actionsID := []string{}
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for _, m := range a.systemInternalActions() {
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actionsID = append(actionsID, m.Definition().Name.String())
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}
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intentionsTools := action.NewIntention(actionsID...)
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//XXX: Why we add the reason here?
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params, err := a.decision(ctx,
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append(c, openai.ChatCompletionMessage{
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Role: "system",
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Content: "The assistant thought: " + reason,
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}),
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Actions{intentionsTools}.ToTools(),
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intentionsTools.Definition().Name)
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if err != nil {
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return nil, "", fmt.Errorf("failed to get the action tool parameters: %v", err)
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}
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actionChoice := action.IntentResponse{}
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if params.actionParams == nil {
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return nil, params.message, nil
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}
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err = params.actionParams.Unmarshal(&actionChoice)
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if err != nil {
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return nil, "", err
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}
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if actionChoice.Tool == "" || actionChoice.Tool == "none" {
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return nil, "", fmt.Errorf("no intent detected")
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}
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// Find the action
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chosenAction := a.systemInternalActions().Find(actionChoice.Tool)
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if chosenAction == nil {
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return nil, "", fmt.Errorf("no action found for intent:" + actionChoice.Tool)
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}
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return chosenAction, actionChoice.Reasoning, nil
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}
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