feat: retrials (#110)

* feat(jobs): rework next actions

Also attempt to retry when failing at generating parameters

Signed-off-by: mudler <mudler@localai.io>

* feat(retries): add retries for common operations

Signed-off-by: mudler <mudler@localai.io>

---------

Signed-off-by: mudler <mudler@localai.io>

core/agent/actions.go

@@ -135,18 +135,13 @@ func (m Messages) IsLastMessageFromRole(role string) bool {
 	return m[len(m)-1].Role == role
 }
 
-func (a *Agent) generateParameters(ctx context.Context, pickTemplate string, act types.Action, c []openai.ChatCompletionMessage, reasoning string) (*decisionResult, error) {
+func (a *Agent) generateParameters(ctx context.Context, pickTemplate string, act types.Action, c []openai.ChatCompletionMessage, reasoning string, maxAttempts int) (*decisionResult, error) {
-
 	stateHUD, err := renderTemplate(pickTemplate, a.prepareHUD(), a.availableActions(), reasoning)
 	if err != nil {
 		return nil, err
 	}
 
-	// check if there is already a message with the hud in the conversation already, otherwise
-	// add a message at the top with it
-
 	conversation := c
-
 	if !Messages(c).Exist(stateHUD) && a.options.enableHUD {
 		conversation = append([]openai.ChatCompletionMessage{
 			{
@@ -164,7 +159,11 @@ func (a *Agent) generateParameters(ctx context.Context, pickTemplate string, act
 		})
 	}
 
-	return a.decision(ctx,
+	var result *decisionResult
+	var attemptErr error
+
+	for attempts := 0; attempts < maxAttempts; attempts++ {
+		result, attemptErr = a.decision(ctx,
 			cc,
 			a.availableActions().ToTools(),
 			openai.ToolChoice{
@@ -172,6 +171,13 @@ func (a *Agent) generateParameters(ctx context.Context, pickTemplate string, act
 				Function: openai.ToolFunction{Name: act.Definition().Name.String()},
 			},
 		)
+		if attemptErr == nil && result.actionParams != nil {
+			return result, nil
+		}
+		xlog.Warn("Attempt to generate parameters failed", "attempt", attempts+1, "error", attemptErr)
+	}
+
+	return nil, fmt.Errorf("failed to generate parameters after %d attempts: %w", maxAttempts, attemptErr)
 }
 
 func (a *Agent) handlePlanning(ctx context.Context, job *types.Job, chosenAction types.Action, actionParams types.ActionParams, reasoning string, pickTemplate string, conv Messages) (Messages, error) {
@@ -221,7 +227,7 @@ func (a *Agent) handlePlanning(ctx context.Context, job *types.Job, chosenAction
 		subTaskAction := a.availableActions().Find(subtask.Action)
 		subTaskReasoning := fmt.Sprintf("%s Overall goal is: %s", subtask.Reasoning, planResult.Goal)
 
-		params, err := a.generateParameters(ctx, pickTemplate, subTaskAction, conv, subTaskReasoning)
+		params, err := a.generateParameters(ctx, pickTemplate, subTaskAction, conv, subTaskReasoning, maxRetries)
 		if err != nil {
 			return conv, fmt.Errorf("error generating action's parameters: %w", err)
 

core/agent/agent.go

@@ -19,6 +19,7 @@ const (
 	UserRole      = "user"
 	AssistantRole = "assistant"
 	SystemRole    = "system"
+	maxRetries    = 5
 )
 
 type Agent struct {
@@ -29,10 +30,8 @@ type Agent struct {
 	jobQueue  chan *types.Job
 	context   *types.ActionContext
 
-	currentReasoning         string
 	currentState *action.AgentInternalState
-	nextAction               types.Action
+
-	nextActionParams         *types.ActionParams
 	selfEvaluationInProgress bool
 	pause                    bool
 
@@ -175,19 +174,32 @@ func (a *Agent) Enqueue(j *types.Job) {
 	a.jobQueue <- j
 }
 
-func (a *Agent) askLLM(ctx context.Context, conversation []openai.ChatCompletionMessage) (openai.ChatCompletionMessage, error) {
+func (a *Agent) askLLM(ctx context.Context, conversation []openai.ChatCompletionMessage, maxRetries int) (openai.ChatCompletionMessage, error) {
-	resp, err := a.client.CreateChatCompletion(ctx,
+	var resp openai.ChatCompletionResponse
+	var err error
+
+	for attempt := 0; attempt <= maxRetries; attempt++ {
+		resp, err = a.client.CreateChatCompletion(ctx,
 			openai.ChatCompletionRequest{
 				Model:    a.options.LLMAPI.Model,
 				Messages: conversation,
 			},
 		)
+		if err == nil && len(resp.Choices) == 1 && resp.Choices[0].Message.Content != "" {
+			break
+		}
+		xlog.Warn("Error asking LLM, retrying", "attempt", attempt+1, "error", err)
+		if attempt < maxRetries {
+			time.Sleep(2 * time.Second) // Optional: Add a delay between retries
+		}
+	}
+
 	if err != nil {
 		return openai.ChatCompletionMessage{}, err
 	}
 
 	if len(resp.Choices) != 1 {
-		return openai.ChatCompletionMessage{}, fmt.Errorf("no enough choices: %w", err)
+		return openai.ChatCompletionMessage{}, fmt.Errorf("not enough choices: %w", err)
 	}
 
 	return resp.Choices[0].Message, nil
@@ -447,15 +459,26 @@ func (a *Agent) consumeJob(job *types.Job, role string) {
 	var reasoning string
 	var actionParams types.ActionParams
 
-	if a.nextAction != nil {
+	if job.HasNextAction() {
 		// if we are being re-evaluated, we already have the action
 		// and the reasoning. Consume it here and reset it
-		chosenAction = a.nextAction
+		action, params, reason := job.GetNextAction()
-		reasoning = a.currentReasoning
+		chosenAction = *action
-		actionParams = *a.nextActionParams
+		reasoning = reason
-		a.currentReasoning = ""
+		if params == nil {
-		a.nextActionParams = nil
+			p, err := a.generateParameters(job.GetContext(), pickTemplate, chosenAction, conv, reasoning, maxRetries)
-		a.nextAction = nil
+			if err != nil {
+				xlog.Error("Error generating parameters, trying again", "error", err)
+				// try again
+				job.SetNextAction(&chosenAction, nil, reasoning)
+				a.consumeJob(job, role)
+				return
+			}
+			actionParams = p.actionParams
+		} else {
+			actionParams = *params
+		}
+		job.ResetNextAction()
 	} else {
 		var err error
 		chosenAction, actionParams, reasoning, err = a.pickAction(job.GetContext(), pickTemplate, conv)
@@ -501,9 +524,12 @@ func (a *Agent) consumeJob(job *types.Job, role string) {
 			"reasoning", reasoning,
 		)
 
-		params, err := a.generateParameters(job.GetContext(), pickTemplate, chosenAction, conv, reasoning)
+		params, err := a.generateParameters(job.GetContext(), pickTemplate, chosenAction, conv, reasoning, maxRetries)
 		if err != nil {
-			job.Result.Finish(fmt.Errorf("error generating action's parameters: %w", err))
+			xlog.Error("Error generating parameters, trying again", "error", err)
+			// try again
+			job.SetNextAction(&chosenAction, nil, reasoning)
+			a.consumeJob(job, role)
 			return
 		}
 		actionParams = params.actionParams
@@ -625,9 +651,7 @@ func (a *Agent) consumeJob(job *types.Job, role string) {
 			// We need to do another action (?)
 			// The agent decided to do another action
 			// call ourselves again
-			a.currentReasoning = reasoning
+			job.SetNextAction(&followingAction, &followingParams, reasoning)
-			a.nextAction = followingAction
-			a.nextActionParams = &followingParams
 			a.consumeJob(job, role)
 			return
 		} else if followingAction == nil {
@@ -731,7 +755,7 @@ func (a *Agent) consumeJob(job *types.Job, role string) {
 
 	xlog.Info("Reasoning, ask LLM for a reply", "agent", a.Character.Name)
 	xlog.Debug("Conversation", "conversation", fmt.Sprintf("%+v", conv))
-	msg, err := a.askLLM(job.GetContext(), conv)
+	msg, err := a.askLLM(job.GetContext(), conv, maxRetries)
 	if err != nil {
 		job.Result.Conversation = conv
 		job.Result.Finish(err)

core/agent/knowledgebase.go

@@ -87,7 +87,7 @@ func (a *Agent) saveCurrentConversation(conv Messages) {
 		msg, err := a.askLLM(a.context.Context, []openai.ChatCompletionMessage{{
 			Role:    "user",
 			Content: "Summarize the conversation below, keep the highlights as a bullet list:\n" + Messages(conv).String(),
-		}})
+		}}, maxRetries)
 		if err != nil {
 			xlog.Error("Error summarizing conversation", "error", err)
 		}

core/types/job.go

@@ -21,6 +21,10 @@ type Job struct {
 	UUID                string
 	Metadata            map[string]interface{}
 
+	nextAction          *Action
+	nextActionParams    *ActionParams
+	nextActionReasoning string
+
 	context context.Context
 	cancel  context.CancelFunc
 }
@@ -85,6 +89,26 @@ func (j *Job) CallbackWithResult(stateResult ActionState) {
 	j.ResultCallback(stateResult)
 }
 
+func (j *Job) SetNextAction(action *Action, params *ActionParams, reasoning string) {
+	j.nextAction = action
+	j.nextActionParams = params
+	j.nextActionReasoning = reasoning
+}
+
+func (j *Job) GetNextAction() (*Action, *ActionParams, string) {
+	return j.nextAction, j.nextActionParams, j.nextActionReasoning
+}
+
+func (j *Job) HasNextAction() bool {
+	return j.nextAction != nil
+}
+
+func (j *Job) ResetNextAction() {
+	j.nextAction = nil
+	j.nextActionParams = nil
+	j.nextActionReasoning = ""
+}
+
 func WithTextImage(text, image string) JobOption {
 	return func(j *Job) {
 		j.ConversationHistory = append(j.ConversationHistory, openai.ChatCompletionMessage{