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a31995424c
Introduce three inbound message handling modes for channel adapters: - inject (default, /btw): when a route has an active agent stream, inject the new user message into the running stream via the SDK's PrepareStep hook between tool rounds. The message is interleaved at the correct position in the persisted round. - parallel (/now): start a new agent stream immediately, running concurrently with any existing stream (preserves current behavior). - queue (/next): enqueue the message and process it after the current stream completes. Key components: - RouteDispatcher: per-route state management with inject channel, task queue, and active-stream tracking. - PrepareStep integration: drains inject channel between tool rounds, records insertion position via InjectedRecorder for correct persistence ordering. - interleaveInjectedMessages: inserts injected user messages at their actual injection position within the persisted message round. - Parallel mode isolation: /now streams do not interact with the dispatcher, preventing them from clearing another stream's active state.
145 lines
3.9 KiB
Go
145 lines
3.9 KiB
Go
package agent
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import (
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"encoding/json"
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"net/http"
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"time"
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sdk "github.com/memohai/twilight-ai/sdk"
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)
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// SessionContext carries request-scoped identity and routing information.
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type SessionContext struct {
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BotID string
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ChatID string
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SessionID string
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ChannelIdentityID string
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CurrentPlatform string
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ReplyTarget string
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ConversationType string
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Timezone string
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TimezoneLocation *time.Location
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SessionToken string //nolint:gosec // carries session credential material at runtime
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IsSubagent bool
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}
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// SkillEntry represents a skill loaded from the bot container.
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type SkillEntry struct {
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Name string
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Description string
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Content string
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Metadata map[string]any
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}
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// Schedule represents a scheduled task definition.
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type Schedule struct {
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ID string `json:"id"`
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Name string `json:"name"`
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Description string `json:"description"`
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Pattern string `json:"pattern"`
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MaxCalls *int `json:"maxCalls,omitempty"`
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Command string `json:"command"`
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}
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// LoopDetectionConfig controls loop detection behavior.
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type LoopDetectionConfig struct {
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Enabled bool
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}
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// InjectMessage carries a user message to be injected into a running agent
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// stream between tool rounds via the PrepareStep hook.
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type InjectMessage struct {
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Text string
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HeaderifiedText string
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}
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// RunConfig holds everything needed for a single agent invocation.
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type RunConfig struct {
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Model *sdk.Model
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ReasoningEffort string
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Messages []sdk.Message
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Query string
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System string
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SessionType string
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SupportsImageInput bool
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SupportsToolCall bool
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InlineImages []sdk.ImagePart
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Identity SessionContext
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Skills []SkillEntry
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LoopDetection LoopDetectionConfig
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// InjectCh receives user messages to inject between tool rounds.
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// When non-nil, a PrepareStep hook drains this channel and appends
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// user messages to the conversation before the next LLM call.
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InjectCh <-chan InjectMessage
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// InjectedRecorder is called each time a message is injected via
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// PrepareStep, recording the headerified text and the number of SDK
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// output messages that preceded the injection. Used by the resolver
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// to interleave injected messages at the correct position in storeRound.
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InjectedRecorder func(headerifiedText string, insertAfter int)
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}
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// GenerateResult holds the result of a non-streaming agent invocation.
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type GenerateResult struct {
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Messages []sdk.Message
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Text string
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Attachments []FileAttachment
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Reactions []ReactionItem
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Speeches []SpeechItem
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Usage *sdk.Usage
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}
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// FileAttachment represents a file reference extracted from agent output.
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type FileAttachment struct {
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Type string `json:"type"`
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Path string `json:"path,omitempty"`
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URL string `json:"url,omitempty"`
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Mime string `json:"mime,omitempty"`
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Name string `json:"name,omitempty"`
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}
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// ReactionItem represents an emoji reaction extracted from agent output.
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type ReactionItem struct {
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Emoji string `json:"emoji"`
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}
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// SpeechItem represents a TTS request extracted from agent output.
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type SpeechItem struct {
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Text string `json:"text"`
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}
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// SystemFile is a file loaded from the bot container for prompt generation.
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type SystemFile struct {
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Filename string
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Content string
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}
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// ModelConfig holds provider and model information resolved from DB.
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type ModelConfig struct {
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ModelID string
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ClientType string
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APIKey string //nolint:gosec // carries provider credential material at runtime
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CodexAccountID string
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BaseURL string
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HTTPClient *http.Client
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ReasoningConfig *ReasoningConfig
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}
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// ReasoningConfig controls extended thinking/reasoning behavior.
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type ReasoningConfig struct {
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Enabled bool
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Effort string
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}
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func mustMarshal(v any) json.RawMessage {
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data, err := json.Marshal(v)
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if err != nil {
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return nil
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}
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return data
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}
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// TimeNow is a hook for testing. Defaults to time.Now.
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var TimeNow = time.Now
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