reordering

core/action/state.go

@@ -0,0 +1,93 @@
+package action
+
+import (
+	"context"
+	"fmt"
+
+	"github.com/sashabaranov/go-openai/jsonschema"
+)
+
+const StateActionName = "update_state"
+
+func NewState() *StateAction {
+	return &StateAction{}
+}
+
+type StateAction struct{}
+
+// State is the structure
+// that is used to keep track of the current state
+// and the Agent's short memory that it can update
+// Besides a long term memory that is accessible by the agent (With vector database),
+// And a context memory (that is always powered by a vector database),
+// this memory is the shorter one that the LLM keeps across conversation and across its
+// reasoning process's and life time.
+// TODO: A special action is then used to let the LLM itself update its memory
+// periodically during self-processing, and the same action is ALSO exposed
+// during the conversation to let the user put for example, a new goal to the agent.
+type StateResult struct {
+	NowDoing    string   `json:"doing_now"`
+	DoingNext   string   `json:"doing_next"`
+	DoneHistory []string `json:"done_history"`
+	Memories    []string `json:"memories"`
+	Goal        string   `json:"goal"`
+}
+
+func (a *StateAction) Run(context.Context, ActionParams) (string, error) {
+	return "internal state has been updated", nil
+}
+
+func (a *StateAction) Definition() ActionDefinition {
+	return ActionDefinition{
+		Name:        StateActionName,
+		Description: "update the agent state (short memory) with the current state of the conversation.",
+		Properties: map[string]jsonschema.Definition{
+			"goal": {
+				Type:        jsonschema.String,
+				Description: "The current goal of the agent.",
+			},
+			"doing_next": {
+				Type:        jsonschema.String,
+				Description: "The next action the agent will do.",
+			},
+			"done_history": {
+				Type: jsonschema.Array,
+				Items: &jsonschema.Definition{
+					Type: jsonschema.String,
+				},
+				Description: "A list of actions that the agent has done.",
+			},
+			"now_doing": {
+				Type:        jsonschema.String,
+				Description: "The current action the agent is doing.",
+			},
+			"memories": {
+				Type: jsonschema.Array,
+				Items: &jsonschema.Definition{
+					Type: jsonschema.String,
+				},
+				Description: "A list of memories to keep between conversations.",
+			},
+		},
+	}
+}
+
+const fmtT = `=====================
+NowDoing: %s
+DoingNext: %s
+Your current goal is: %s
+You have done: %+v
+You have a short memory with: %+v
+=====================
+`
+
+func (c StateResult) String() string {
+	return fmt.Sprintf(
+		fmtT,
+		c.NowDoing,
+		c.DoingNext,
+		c.Goal,
+		c.DoneHistory,
+		c.Memories,
+	)
+}