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33e18e7e64
* feat(skills): add effective skill resolution and actions * refactor(workspace): normalize skill-related env and prompt * chore(api): regenerate skills OpenAPI and SDK artifacts * feat(web): surface effective skill state in console * test(skills): cover API and runtime effective state * fix(web): show adopt action for discovered skills * fix(web): align skill header and show stateful visibility icon * refactor(web): compact skill metadata on narrow layouts * fix(web): constrain long skill text in cards * refactor(skills): narrow default discovery roots * fix(skills): harden managed skill path validation * feat: add path in the results of `use_skill` --------- Co-authored-by: Acbox <acbox0328@gmail.com>
172 lines
5.2 KiB
Go
172 lines
5.2 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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"github.com/memohai/memoh/internal/agent/background"
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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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Path 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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// ImageParts carries inline images (data URL or public URL) to attach
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// alongside the injected text when the model supports vision input.
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ImageParts []sdk.ImagePart
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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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Retry RetryConfig
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// MidTaskPruneThreshold is the minimum number of messages before mid-task
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// pruning kicks in. When the accumulated message count reaches this
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// threshold, older tool-result pairs are pruned to keep the context
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// within budget. Defaults to MidTaskPruneThresholdDefault (20).
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MidTaskPruneThreshold int
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// MidTaskPruneKeepSteps is the number of recent tool-call cycles to
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// preserve when mid-task pruning is triggered. Defaults to
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// MidTaskPruneKeepStepsDefault (4).
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MidTaskPruneKeepSteps int
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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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// BackgroundManager provides access to the background task system.
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// When non-nil, the agent loop drains pending notifications at step
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// boundaries and injects them as user messages so the model learns
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// about completed background work.
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BackgroundManager *background.Manager
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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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ContentHash string `json:"content_hash,omitempty"`
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Size int64 `json:"size,omitempty"`
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Metadata map[string]any `json:"metadata,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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