ae346435b9
- Add `language_model` field to robot data structures for LLM connector overrides. - Update `AgentCaller` to utilize the robot's language model and include logging capabilities for agent calls. - Refactor task execution to log task outputs and inputs, improving observability during execution. - Modify tests to accommodate changes in the runner initialization and ensure proper logging functionality.
75 lines
2.1 KiB
Go
75 lines
2.1 KiB
Go
package standard
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import (
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"fmt"
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"time"
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robottypes "github.com/yaoapp/yao/agent/robot/types"
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)
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// RunInspiration executes P0: Inspiration phase
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// Calls the Inspiration Agent to generate daily briefing
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//
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// Input:
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// - ClockContext from trigger input or current time
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// - Robot identity and resources
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//
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// Output:
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// - InspirationReport with markdown content
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func (e *Executor) RunInspiration(ctx *robottypes.Context, exec *robottypes.Execution, _ interface{}) error {
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// Get robot for identity and resources
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robot := exec.GetRobot()
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if robot == nil {
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return fmt.Errorf("robot not found in execution")
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}
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// Update UI field with i18n
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locale := getEffectiveLocale(robot, exec.Input)
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e.updateUIFields(ctx, exec, "", getLocalizedMessage(locale, "analyzing_context"))
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// Build clock context from trigger input or current time
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var clock *robottypes.ClockContext
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if exec.Input != nil && exec.Input.Clock != nil {
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clock = exec.Input.Clock
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} else {
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clock = robottypes.NewClockContext(time.Now(), "")
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}
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// Get agent ID for inspiration phase
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agentID := "__yao.inspiration" // default
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if robot.Config != nil && robot.Config.Resources != nil {
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agentID = robot.Config.Resources.GetPhaseAgent(robottypes.PhaseInspiration)
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}
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// Build prompt using InputFormatter
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formatter := NewInputFormatter()
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userContent := formatter.FormatClockContext(clock, robot)
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// Add available resources - critical for generating achievable insights
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resourcesContent := formatter.FormatAvailableResources(robot)
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if resourcesContent != "" {
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userContent += "\n\n" + resourcesContent
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}
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// Call agent
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caller := NewAgentCaller()
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caller.Connector = robot.LanguageModel
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result, err := caller.CallWithMessages(ctx, agentID, userContent)
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if err != nil {
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return fmt.Errorf("inspiration agent (%s) call failed: %w", agentID, err)
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}
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// Parse response - get markdown content
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content := result.GetText()
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if content == "" {
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return fmt.Errorf("inspiration agent (%s) returned empty response", agentID)
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}
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// Build InspirationReport
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exec.Inspiration = &robottypes.InspirationReport{
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Clock: clock,
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Content: content,
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}
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return nil
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}
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