diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000..72f8471 Binary files /dev/null and b/.DS_Store differ diff --git a/cmd/orca/main.go b/cmd/orca/main.go index 4bf85cf..da6c191 100644 --- a/cmd/orca/main.go +++ b/cmd/orca/main.go @@ -9,12 +9,14 @@ import ( tea "github.com/charmbracelet/bubbletea" "github.com/orca/orca/internal/config" "github.com/orca/orca/internal/tui" - "github.com/orca/orca/internal/web" + "github.com/orca/orca/internal/websocket" "github.com/orca/orca/pkg/kernel" + "github.com/orca/orca/pkg/session" ) func main() { webMode := flag.Bool("web", false, "Run in web mode on port 8081") + memoryCmd := flag.Bool("memory", false, "Memory management commands (list, stats, clean)") flag.Parse() cfg, err := config.LoadConfig() @@ -22,6 +24,11 @@ func main() { log.Fatalf("Failed to load config: %v", err) } + if *memoryCmd { + handleMemoryCommand(flag.Args()) + return + } + k := kernel.NewWithConfig(cfg) if err := k.Start(); err != nil { log.Fatalf("Failed to start kernel: %v", err) @@ -32,7 +39,7 @@ func main() { } if *webMode { - server := web.NewServer(k, 8081) + server := websocket.NewServer(k, 8081) fmt.Println("Starting web server on http://localhost:8081") if err := server.Start(); err != nil { log.Fatalf("Failed to start web server: %v", err) @@ -51,3 +58,52 @@ func main() { log.Printf("Warning: error stopping kernel: %v", err) } } + +func handleMemoryCommand(args []string) { + if len(args) == 0 { + fmt.Println("Usage: orca -memory ") + fmt.Println("Commands:") + fmt.Println(" list List all memories") + fmt.Println(" stats Show memory statistics") + fmt.Println(" clean Clean archived memories") + return + } + + cfg, err := config.LoadConfig() + if err != nil { + log.Fatalf("Failed to load config: %v", err) + } + + mm, err := session.NewMemoryManager(session.MemoryConfig{ + DBPath: cfg.Session.StorageDir + "/memory.db", + }) + if err != nil { + log.Fatalf("Failed to create memory manager: %v", err) + } + defer mm.Close() + + switch args[0] { + case "list": + memories, err := mm.GetLongTermMemory("") + if err != nil { + log.Fatalf("Failed to list memories: %v", err) + } + fmt.Printf("Total memories: %d\n", len(memories)) + for _, m := range memories { + fmt.Printf(" [%d] %s (weight=%.2f)\n", m.ID, m.Content, m.Weight) + } + case "stats": + size, hits, misses := mm.CacheStats() + fmt.Printf("Cache size: %d\n", size) + fmt.Printf("Cache hits: %d\n", hits) + fmt.Printf("Cache misses: %d\n", misses) + case "clean": + count, err := mm.ArchiveLowWeightMemories(0.3) + if err != nil { + log.Fatalf("Failed to clean memories: %v", err) + } + fmt.Printf("Archived %d memories\n", count) + default: + fmt.Printf("Unknown command: %s\n", args[0]) + } +} diff --git a/go.mod b/go.mod index f98b96d..9bc2555 100644 --- a/go.mod +++ b/go.mod @@ -3,41 +3,41 @@ module github.com/orca/orca go 1.26.1 require ( - github.com/BurntSushi/toml v1.6.0 // indirect - github.com/alecthomas/chroma/v2 v2.20.0 // indirect + github.com/BurntSushi/toml v1.6.0 + github.com/charmbracelet/bubbles v1.0.0 + github.com/charmbracelet/bubbletea v1.3.10 + github.com/charmbracelet/lipgloss v1.1.1-0.20250404203927-76690c660834 + github.com/gorilla/websocket v1.5.3 + modernc.org/sqlite v1.50.0 +) + +require ( github.com/atotto/clipboard v0.1.4 // indirect github.com/aymanbagabas/go-osc52/v2 v2.0.1 // indirect - github.com/aymerick/douceur v0.2.0 // indirect - github.com/charmbracelet/bubbles v1.0.0 // indirect - github.com/charmbracelet/bubbletea v1.3.10 // indirect github.com/charmbracelet/colorprofile v0.4.1 // indirect - github.com/charmbracelet/glamour v1.0.0 // indirect - github.com/charmbracelet/lipgloss v1.1.1-0.20250404203927-76690c660834 // indirect github.com/charmbracelet/x/ansi v0.11.6 // indirect github.com/charmbracelet/x/cellbuf v0.0.15 // indirect - github.com/charmbracelet/x/exp/slice v0.0.0-20250327172914-2fdc97757edf // indirect github.com/charmbracelet/x/term v0.2.2 // indirect github.com/clipperhouse/displaywidth v0.9.0 // indirect github.com/clipperhouse/stringish v0.1.1 // indirect github.com/clipperhouse/uax29/v2 v2.5.0 // indirect - github.com/dlclark/regexp2 v1.11.5 // indirect + github.com/dustin/go-humanize v1.0.1 // indirect github.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f // indirect - github.com/gorilla/css v1.0.1 // indirect + github.com/google/uuid v1.6.0 // indirect github.com/lucasb-eyer/go-colorful v1.3.0 // indirect github.com/mattn/go-isatty v0.0.20 // indirect github.com/mattn/go-localereader v0.0.1 // indirect github.com/mattn/go-runewidth v0.0.19 // indirect - github.com/microcosm-cc/bluemonday v1.0.27 // indirect github.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6 // indirect github.com/muesli/cancelreader v0.2.2 // indirect - github.com/muesli/reflow v0.3.0 // indirect github.com/muesli/termenv v0.16.0 // indirect + github.com/ncruces/go-strftime v1.0.0 // indirect + github.com/remyoudompheng/bigfft v0.0.0-20230129092748-24d4a6f8daec // indirect github.com/rivo/uniseg v0.4.7 // indirect github.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e // indirect - github.com/yuin/goldmark v1.7.13 // indirect - github.com/yuin/goldmark-emoji v1.0.6 // indirect - golang.org/x/net v0.38.0 // indirect - golang.org/x/sys v0.38.0 // indirect - golang.org/x/term v0.36.0 // indirect + golang.org/x/sys v0.42.0 // indirect golang.org/x/text v0.30.0 // indirect + modernc.org/libc v1.72.0 // indirect + modernc.org/mathutil v1.7.1 // indirect + modernc.org/memory v1.11.0 // indirect ) diff --git a/go.sum b/go.sum index fd0c03f..ade400a 100644 --- a/go.sum +++ b/go.sum @@ -1,37 +1,25 @@ github.com/BurntSushi/toml v1.6.0 h1:dRaEfpa2VI55EwlIW72hMRHdWouJeRF7TPYhI+AUQjk= github.com/BurntSushi/toml v1.6.0/go.mod h1:ukJfTF/6rtPPRCnwkur4qwRxa8vTRFBF0uk2lLoLwho= -github.com/alecthomas/chroma/v2 v2.20.0 h1:sfIHpxPyR07/Oylvmcai3X/exDlE8+FA820NTz+9sGw= -github.com/alecthomas/chroma/v2 v2.20.0/go.mod h1:e7tViK0xh/Nf4BYHl00ycY6rV7b8iXBksI9E359yNmA= +github.com/MakeNowJust/heredoc v1.0.0 h1:cXCdzVdstXyiTqTvfqk9SDHpKNjxuom+DOlyEeQ4pzQ= +github.com/MakeNowJust/heredoc v1.0.0/go.mod h1:mG5amYoWBHf8vpLOuehzbGGw0EHxpZZ6lCpQ4fNJ8LE= github.com/atotto/clipboard v0.1.4 h1:EH0zSVneZPSuFR11BlR9YppQTVDbh5+16AmcJi4g1z4= github.com/atotto/clipboard v0.1.4/go.mod h1:ZY9tmq7sm5xIbd9bOK4onWV4S6X0u6GY7Vn0Yu86PYI= github.com/aymanbagabas/go-osc52/v2 v2.0.1 h1:HwpRHbFMcZLEVr42D4p7XBqjyuxQH5SMiErDT4WkJ2k= github.com/aymanbagabas/go-osc52/v2 v2.0.1/go.mod h1:uYgXzlJ7ZpABp8OJ+exZzJJhRNQ2ASbcXHWsFqH8hp8= -github.com/aymerick/douceur v0.2.0 h1:Mv+mAeH1Q+n9Fr+oyamOlAkUNPWPlA8PPGR0QAaYuPk= -github.com/aymerick/douceur v0.2.0/go.mod h1:wlT5vV2O3h55X9m7iVYN0TBM0NH/MmbLnd30/FjWUq4= +github.com/aymanbagabas/go-udiff v0.3.1 h1:LV+qyBQ2pqe0u42ZsUEtPiCaUoqgA9gYRDs3vj1nolY= +github.com/aymanbagabas/go-udiff v0.3.1/go.mod h1:G0fsKmG+P6ylD0r6N/KgQD/nWzgfnl8ZBcNLgcbrw8E= github.com/charmbracelet/bubbles v1.0.0 h1:12J8/ak/uCZEMQ6KU7pcfwceyjLlWsDLAxB5fXonfvc= github.com/charmbracelet/bubbles v1.0.0/go.mod h1:9d/Zd5GdnauMI5ivUIVisuEm3ave1XwXtD1ckyV6r3E= github.com/charmbracelet/bubbletea v1.3.10 h1:otUDHWMMzQSB0Pkc87rm691KZ3SWa4KUlvF9nRvCICw= github.com/charmbracelet/bubbletea v1.3.10/go.mod h1:ORQfo0fk8U+po9VaNvnV95UPWA1BitP1E0N6xJPlHr4= -github.com/charmbracelet/colorprofile v0.2.3-0.20250311203215-f60798e515dc h1:4pZI35227imm7yK2bGPcfpFEmuY1gc2YSTShr4iJBfs= -github.com/charmbracelet/colorprofile v0.2.3-0.20250311203215-f60798e515dc/go.mod h1:X4/0JoqgTIPSFcRA/P6INZzIuyqdFY5rm8tb41s9okk= github.com/charmbracelet/colorprofile v0.4.1 h1:a1lO03qTrSIRaK8c3JRxJDZOvhvIeSco3ej+ngLk1kk= github.com/charmbracelet/colorprofile v0.4.1/go.mod h1:U1d9Dljmdf9DLegaJ0nGZNJvoXAhayhmidOdcBwAvKk= -github.com/charmbracelet/glamour v1.0.0 h1:AWMLOVFHTsysl4WV8T8QgkQ0s/ZNZo7CiE4WKhk8l08= -github.com/charmbracelet/glamour v1.0.0/go.mod h1:DSdohgOBkMr2ZQNhw4LZxSGpx3SvpeujNoXrQyH2hxo= github.com/charmbracelet/lipgloss v1.1.1-0.20250404203927-76690c660834 h1:ZR7e0ro+SZZiIZD7msJyA+NjkCNNavuiPBLgerbOziE= github.com/charmbracelet/lipgloss v1.1.1-0.20250404203927-76690c660834/go.mod h1:aKC/t2arECF6rNOnaKaVU6y4t4ZeHQzqfxedE/VkVhA= -github.com/charmbracelet/x/ansi v0.10.2 h1:ith2ArZS0CJG30cIUfID1LXN7ZFXRCww6RUvAPA+Pzw= -github.com/charmbracelet/x/ansi v0.10.2/go.mod h1:HbLdJjQH4UH4AqA2HpRWuWNluRE6zxJH/yteYEYCFa8= github.com/charmbracelet/x/ansi v0.11.6 h1:GhV21SiDz/45W9AnV2R61xZMRri5NlLnl6CVF7ihZW8= github.com/charmbracelet/x/ansi v0.11.6/go.mod h1:2JNYLgQUsyqaiLovhU2Rv/pb8r6ydXKS3NIttu3VGZQ= -github.com/charmbracelet/x/cellbuf v0.0.13 h1:/KBBKHuVRbq1lYx5BzEHBAFBP8VcQzJejZ/IA3iR28k= -github.com/charmbracelet/x/cellbuf v0.0.13/go.mod h1:xe0nKWGd3eJgtqZRaN9RjMtK7xUYchjzPr7q6kcvCCs= github.com/charmbracelet/x/cellbuf v0.0.15 h1:ur3pZy0o6z/R7EylET877CBxaiE1Sp1GMxoFPAIztPI= github.com/charmbracelet/x/cellbuf v0.0.15/go.mod h1:J1YVbR7MUuEGIFPCaaZ96KDl5NoS0DAWkskup+mOY+Q= -github.com/charmbracelet/x/exp/slice v0.0.0-20250327172914-2fdc97757edf h1:rLG0Yb6MQSDKdB52aGX55JT1oi0P0Kuaj7wi1bLUpnI= -github.com/charmbracelet/x/exp/slice v0.0.0-20250327172914-2fdc97757edf/go.mod h1:B3UgsnsBZS/eX42BlaNiJkD1pPOUa+oF1IYC6Yd2CEU= -github.com/charmbracelet/x/term v0.2.1 h1:AQeHeLZ1OqSXhrAWpYUtZyX1T3zVxfpZuEQMIQaGIAQ= -github.com/charmbracelet/x/term v0.2.1/go.mod h1:oQ4enTYFV7QN4m0i9mzHrViD7TQKvNEEkHUMCmsxdUg= github.com/charmbracelet/x/term v0.2.2 h1:xVRT/S2ZcKdhhOuSP4t5cLi5o+JxklsoEObBSgfgZRk= github.com/charmbracelet/x/term v0.2.2/go.mod h1:kF8CY5RddLWrsgVwpw4kAa6TESp6EB5y3uxGLeCqzAI= github.com/clipperhouse/displaywidth v0.9.0 h1:Qb4KOhYwRiN3viMv1v/3cTBlz3AcAZX3+y9OLhMtAtA= @@ -40,52 +28,79 @@ github.com/clipperhouse/stringish v0.1.1 h1:+NSqMOr3GR6k1FdRhhnXrLfztGzuG+VuFDfa github.com/clipperhouse/stringish v0.1.1/go.mod h1:v/WhFtE1q0ovMta2+m+UbpZ+2/HEXNWYXQgCt4hdOzA= github.com/clipperhouse/uax29/v2 v2.5.0 h1:x7T0T4eTHDONxFJsL94uKNKPHrclyFI0lm7+w94cO8U= github.com/clipperhouse/uax29/v2 v2.5.0/go.mod h1:Wn1g7MK6OoeDT0vL+Q0SQLDz/KpfsVRgg6W7ihQeh4g= -github.com/dlclark/regexp2 v1.11.5 h1:Q/sSnsKerHeCkc/jSTNq1oCm7KiVgUMZRDUoRu0JQZQ= -github.com/dlclark/regexp2 v1.11.5/go.mod h1:DHkYz0B9wPfa6wondMfaivmHpzrQ3v9q8cnmRbL6yW8= +github.com/dustin/go-humanize v1.0.1 h1:GzkhY7T5VNhEkwH0PVJgjz+fX1rhBrR7pRT3mDkpeCY= +github.com/dustin/go-humanize v1.0.1/go.mod h1:Mu1zIs6XwVuF/gI1OepvI0qD18qycQx+mFykh5fBlto= github.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f h1:Y/CXytFA4m6baUTXGLOoWe4PQhGxaX0KpnayAqC48p4= github.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f/go.mod h1:vw97MGsxSvLiUE2X8qFplwetxpGLQrlU1Q9AUEIzCaM= -github.com/gorilla/css v1.0.1 h1:ntNaBIghp6JmvWnxbZKANoLyuXTPZ4cAMlo6RyhlbO8= -github.com/gorilla/css v1.0.1/go.mod h1:BvnYkspnSzMmwRK+b8/xgNPLiIuNZr6vbZBTPQ2A3b0= +github.com/google/pprof v0.0.0-20250317173921-a4b03ec1a45e h1:ijClszYn+mADRFY17kjQEVQ1XRhq2/JR1M3sGqeJoxs= +github.com/google/pprof v0.0.0-20250317173921-a4b03ec1a45e/go.mod h1:boTsfXsheKC2y+lKOCMpSfarhxDeIzfZG1jqGcPl3cA= +github.com/google/uuid v1.6.0 h1:NIvaJDMOsjHA8n1jAhLSgzrAzy1Hgr+hNrb57e+94F0= +github.com/google/uuid v1.6.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo= +github.com/gorilla/websocket v1.5.3 h1:saDtZ6Pbx/0u+bgYQ3q96pZgCzfhKXGPqt7kZ72aNNg= +github.com/gorilla/websocket v1.5.3/go.mod h1:YR8l580nyteQvAITg2hZ9XVh4b55+EU/adAjf1fMHhE= +github.com/hashicorp/golang-lru/v2 v2.0.7 h1:a+bsQ5rvGLjzHuww6tVxozPZFVghXaHOwFs4luLUK2k= +github.com/hashicorp/golang-lru/v2 v2.0.7/go.mod h1:QeFd9opnmA6QUJc5vARoKUSoFhyfM2/ZepoAG6RGpeM= github.com/lucasb-eyer/go-colorful v1.3.0 h1:2/yBRLdWBZKrf7gB40FoiKfAWYQ0lqNcbuQwVHXptag= github.com/lucasb-eyer/go-colorful v1.3.0/go.mod h1:R4dSotOR9KMtayYi1e77YzuveK+i7ruzyGqttikkLy0= github.com/mattn/go-isatty v0.0.20 h1:xfD0iDuEKnDkl03q4limB+vH+GxLEtL/jb4xVJSWWEY= github.com/mattn/go-isatty v0.0.20/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y= github.com/mattn/go-localereader v0.0.1 h1:ygSAOl7ZXTx4RdPYinUpg6W99U8jWvWi9Ye2JC/oIi4= github.com/mattn/go-localereader v0.0.1/go.mod h1:8fBrzywKY7BI3czFoHkuzRoWE9C+EiG4R1k4Cjx5p88= -github.com/mattn/go-runewidth v0.0.12/go.mod h1:RAqKPSqVFrSLVXbA8x7dzmKdmGzieGRCM46jaSJTDAk= -github.com/mattn/go-runewidth v0.0.17 h1:78v8ZlW0bP43XfmAfPsdXcoNCelfMHsDmd/pkENfrjQ= -github.com/mattn/go-runewidth v0.0.17/go.mod h1:Jdepj2loyihRzMpdS35Xk/zdY8IAYHsh153qUoGf23w= github.com/mattn/go-runewidth v0.0.19 h1:v++JhqYnZuu5jSKrk9RbgF5v4CGUjqRfBm05byFGLdw= github.com/mattn/go-runewidth v0.0.19/go.mod h1:XBkDxAl56ILZc9knddidhrOlY5R/pDhgLpndooCuJAs= -github.com/microcosm-cc/bluemonday v1.0.27 h1:MpEUotklkwCSLeH+Qdx1VJgNqLlpY2KXwXFM08ygZfk= -github.com/microcosm-cc/bluemonday v1.0.27/go.mod h1:jFi9vgW+H7c3V0lb6nR74Ib/DIB5OBs92Dimizgw2cA= github.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6 h1:ZK8zHtRHOkbHy6Mmr5D264iyp3TiX5OmNcI5cIARiQI= github.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6/go.mod h1:CJlz5H+gyd6CUWT45Oy4q24RdLyn7Md9Vj2/ldJBSIo= github.com/muesli/cancelreader v0.2.2 h1:3I4Kt4BQjOR54NavqnDogx/MIoWBFa0StPA8ELUXHmA= github.com/muesli/cancelreader v0.2.2/go.mod h1:3XuTXfFS2VjM+HTLZY9Ak0l6eUKfijIfMUZ4EgX0QYo= -github.com/muesli/reflow v0.3.0 h1:IFsN6K9NfGtjeggFP+68I4chLZV2yIKsXJFNZ+eWh6s= -github.com/muesli/reflow v0.3.0/go.mod h1:pbwTDkVPibjO2kyvBQRBxTWEEGDGq0FlB1BIKtnHY/8= github.com/muesli/termenv v0.16.0 h1:S5AlUN9dENB57rsbnkPyfdGuWIlkmzJjbFf0Tf5FWUc= github.com/muesli/termenv v0.16.0/go.mod h1:ZRfOIKPFDYQoDFF4Olj7/QJbW60Ol/kL1pU3VfY/Cnk= -github.com/rivo/uniseg v0.1.0/go.mod h1:J6wj4VEh+S6ZtnVlnTBMWIodfgj8LQOQFoIToxlJtxc= -github.com/rivo/uniseg v0.2.0/go.mod h1:J6wj4VEh+S6ZtnVlnTBMWIodfgj8LQOQFoIToxlJtxc= +github.com/ncruces/go-strftime v1.0.0 h1:HMFp8mLCTPp341M/ZnA4qaf7ZlsbTc+miZjCLOFAw7w= +github.com/ncruces/go-strftime v1.0.0/go.mod h1:Fwc5htZGVVkseilnfgOVb9mKy6w1naJmn9CehxcKcls= +github.com/remyoudompheng/bigfft v0.0.0-20230129092748-24d4a6f8daec h1:W09IVJc94icq4NjY3clb7Lk8O1qJ8BdBEF8z0ibU0rE= +github.com/remyoudompheng/bigfft v0.0.0-20230129092748-24d4a6f8daec/go.mod h1:qqbHyh8v60DhA7CoWK5oRCqLrMHRGoxYCSS9EjAz6Eo= github.com/rivo/uniseg v0.4.7 h1:WUdvkW8uEhrYfLC4ZzdpI2ztxP1I582+49Oc5Mq64VQ= github.com/rivo/uniseg v0.4.7/go.mod h1:FN3SvrM+Zdj16jyLfmOkMNblXMcoc8DfTHruCPUcx88= github.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e h1:JVG44RsyaB9T2KIHavMF/ppJZNG9ZpyihvCd0w101no= github.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e/go.mod h1:RbqR21r5mrJuqunuUZ/Dhy/avygyECGrLceyNeo4LiM= -github.com/yuin/goldmark v1.7.13 h1:GPddIs617DnBLFFVJFgpo1aBfe/4xcvMc3SB5t/D0pA= -github.com/yuin/goldmark v1.7.13/go.mod h1:ip/1k0VRfGynBgxOz0yCqHrbZXhcjxyuS66Brc7iBKg= -github.com/yuin/goldmark-emoji v1.0.6 h1:QWfF2FYaXwL74tfGOW5izeiZepUDroDJfWubQI9HTHs= -github.com/yuin/goldmark-emoji v1.0.6/go.mod h1:ukxJDKFpdFb5x0a5HqbdlcKtebh086iJpI31LTKmWuA= -golang.org/x/net v0.38.0 h1:vRMAPTMaeGqVhG5QyLJHqNDwecKTomGeqbnfZyKlBI8= -golang.org/x/net v0.38.0/go.mod h1:ivrbrMbzFq5J41QOQh0siUuly180yBYtLp+CKbEaFx8= +golang.org/x/exp v0.0.0-20231006140011-7918f672742d h1:jtJma62tbqLibJ5sFQz8bKtEM8rJBtfilJ2qTU199MI= +golang.org/x/exp v0.0.0-20231006140011-7918f672742d/go.mod h1:ldy0pHrwJyGW56pPQzzkH36rKxoZW1tw7ZJpeKx+hdo= +golang.org/x/mod v0.33.0 h1:tHFzIWbBifEmbwtGz65eaWyGiGZatSrT9prnU8DbVL8= +golang.org/x/mod v0.33.0/go.mod h1:swjeQEj+6r7fODbD2cqrnje9PnziFuw4bmLbBZFrQ5w= +golang.org/x/sync v0.20.0 h1:e0PTpb7pjO8GAtTs2dQ6jYa5BWYlMuX047Dco/pItO4= +golang.org/x/sync v0.20.0/go.mod h1:9xrNwdLfx4jkKbNva9FpL6vEN7evnE43NNNJQ2LF3+0= golang.org/x/sys v0.0.0-20210809222454-d867a43fc93e/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= -golang.org/x/sys v0.37.0 h1:fdNQudmxPjkdUTPnLn5mdQv7Zwvbvpaxqs831goi9kQ= -golang.org/x/sys v0.37.0/go.mod h1:OgkHotnGiDImocRcuBABYBEXf8A9a87e/uXjp9XT3ks= -golang.org/x/sys v0.38.0 h1:3yZWxaJjBmCWXqhN1qh02AkOnCQ1poK6oF+a7xWL6Gc= -golang.org/x/sys v0.38.0/go.mod h1:OgkHotnGiDImocRcuBABYBEXf8A9a87e/uXjp9XT3ks= -golang.org/x/term v0.36.0 h1:zMPR+aF8gfksFprF/Nc/rd1wRS1EI6nDBGyWAvDzx2Q= -golang.org/x/term v0.36.0/go.mod h1:Qu394IJq6V6dCBRgwqshf3mPF85AqzYEzofzRdZkWss= +golang.org/x/sys v0.42.0 h1:omrd2nAlyT5ESRdCLYdm3+fMfNFE/+Rf4bDIQImRJeo= +golang.org/x/sys v0.42.0/go.mod h1:4GL1E5IUh+htKOUEOaiffhrAeqysfVGipDYzABqnCmw= golang.org/x/text v0.30.0 h1:yznKA/E9zq54KzlzBEAWn1NXSQ8DIp/NYMy88xJjl4k= golang.org/x/text v0.30.0/go.mod h1:yDdHFIX9t+tORqspjENWgzaCVXgk0yYnYuSZ8UzzBVM= +golang.org/x/tools v0.42.0 h1:uNgphsn75Tdz5Ji2q36v/nsFSfR/9BRFvqhGBaJGd5k= +golang.org/x/tools v0.42.0/go.mod h1:Ma6lCIwGZvHK6XtgbswSoWroEkhugApmsXyrUmBhfr0= +modernc.org/cc/v4 v4.27.3 h1:uNCgn37E5U09mTv1XgskEVUJ8ADKpmFMPxzGJ0TSo+U= +modernc.org/cc/v4 v4.27.3/go.mod h1:3YjcbCqhoTTHPycJDRl2WZKKFj0nwcOIPBfEZK0Hdk8= +modernc.org/ccgo/v4 v4.32.4 h1:L5OB8rpEX4ZsXEQwGozRfJyJSFHbbNVOoQ59DU9/KuU= +modernc.org/ccgo/v4 v4.32.4/go.mod h1:lY7f+fiTDHfcv6YlRgSkxYfhs+UvOEEzj49jAn2TOx0= +modernc.org/fileutil v1.4.0 h1:j6ZzNTftVS054gi281TyLjHPp6CPHr2KCxEXjEbD6SM= +modernc.org/fileutil v1.4.0/go.mod h1:EqdKFDxiByqxLk8ozOxObDSfcVOv/54xDs/DUHdvCUU= +modernc.org/gc/v2 v2.6.5 h1:nyqdV8q46KvTpZlsw66kWqwXRHdjIlJOhG6kxiV/9xI= +modernc.org/gc/v2 v2.6.5/go.mod h1:YgIahr1ypgfe7chRuJi2gD7DBQiKSLMPgBQe9oIiito= +modernc.org/gc/v3 v3.1.2 h1:ZtDCnhonXSZexk/AYsegNRV1lJGgaNZJuKjJSWKyEqo= +modernc.org/gc/v3 v3.1.2/go.mod h1:HFK/6AGESC7Ex+EZJhJ2Gni6cTaYpSMmU/cT9RmlfYY= +modernc.org/goabi0 v0.2.0 h1:HvEowk7LxcPd0eq6mVOAEMai46V+i7Jrj13t4AzuNks= +modernc.org/goabi0 v0.2.0/go.mod h1:CEFRnnJhKvWT1c1JTI3Avm+tgOWbkOu5oPA8eH8LnMI= +modernc.org/libc v1.72.0 h1:IEu559v9a0XWjw0DPoVKtXpO2qt5NVLAnFaBbjq+n8c= +modernc.org/libc v1.72.0/go.mod h1:tTU8DL8A+XLVkEY3x5E/tO7s2Q/q42EtnNWda/L5QhQ= +modernc.org/mathutil v1.7.1 h1:GCZVGXdaN8gTqB1Mf/usp1Y/hSqgI2vAGGP4jZMCxOU= +modernc.org/mathutil v1.7.1/go.mod h1:4p5IwJITfppl0G4sUEDtCr4DthTaT47/N3aT6MhfgJg= +modernc.org/memory v1.11.0 h1:o4QC8aMQzmcwCK3t3Ux/ZHmwFPzE6hf2Y5LbkRs+hbI= +modernc.org/memory v1.11.0/go.mod h1:/JP4VbVC+K5sU2wZi9bHoq2MAkCnrt2r98UGeSK7Mjw= +modernc.org/opt v0.1.4 h1:2kNGMRiUjrp4LcaPuLY2PzUfqM/w9N23quVwhKt5Qm8= +modernc.org/opt v0.1.4/go.mod h1:03fq9lsNfvkYSfxrfUhZCWPk1lm4cq4N+Bh//bEtgns= +modernc.org/sortutil v1.2.1 h1:+xyoGf15mM3NMlPDnFqrteY07klSFxLElE2PVuWIJ7w= +modernc.org/sortutil v1.2.1/go.mod h1:7ZI3a3REbai7gzCLcotuw9AC4VZVpYMjDzETGsSMqJE= +modernc.org/sqlite v1.50.0 h1:eMowQSWLK0MeiQTdmz3lqoF5dqclujdlIKeJA11+7oM= +modernc.org/sqlite v1.50.0/go.mod h1:m0w8xhwYUVY3H6pSDwc3gkJ/irZT/0YEXwBlhaxQEew= +modernc.org/strutil v1.2.1 h1:UneZBkQA+DX2Rp35KcM69cSsNES9ly8mQWD71HKlOA0= +modernc.org/strutil v1.2.1/go.mod h1:EHkiggD70koQxjVdSBM3JKM7k6L0FbGE5eymy9i3B9A= +modernc.org/token v1.1.0 h1:Xl7Ap9dKaEs5kLoOQeQmPWevfnk/DM5qcLcYlA8ys6Y= +modernc.org/token v1.1.0/go.mod h1:UGzOrNV1mAFSEB63lOFHIpNRUVMvYTc6yu1SMY/XTDM= diff --git a/internal/config/config.go b/internal/config/config.go index d497a4d..a279188 100644 --- a/internal/config/config.go +++ b/internal/config/config.go @@ -23,12 +23,16 @@ const ( // Config 保存 Orca 框架的所有配置信息。 type Config struct { - Provider string `toml:"provider"` - Ollama OllamaConfig `toml:"ollama"` - DeepSeek DeepSeekConfig `toml:"deepseek"` - Sandbox SandboxConfig `toml:"sandbox"` - Session SessionConfig `toml:"session"` - Agent AgentConfig `toml:"agent"` + Provider string `toml:"provider"` + Ollama OllamaConfig `toml:"ollama"` + DeepSeek DeepSeekConfig `toml:"deepseek"` + Sandbox SandboxConfig `toml:"sandbox"` + Session SessionConfig `toml:"session"` + Agent AgentConfig `toml:"agent"` + Embedding EmbeddingConfig `toml:"embedding"` + Memory MemoryConfig `toml:"memory"` + MemoryAgent MemoryAgentConfig `toml:"memory_agent"` + SiliconFlow SiliconConfig `toml:"siliconflow"` } // OllamaConfig 保存 Ollama LLM 后端的设置。 @@ -59,6 +63,68 @@ type SessionConfig struct { MaxHistory int `toml:"max_history"` } +type EmbeddingConfig struct { + Provider string `toml:"provider"` + Model string `toml:"model"` + Dim int `toml:"dimensions"` + MaxCtx int `toml:"max_context"` +} + +type MemoryConfig struct { + Enabled bool `toml:"enabled"` + MaxHistory int `toml:"max_history"` + ShortTerm ShortTermConfig `toml:"short_term"` + LongTerm LongTermConfig `toml:"long_term"` + Inject InjectConfig `toml:"inject"` +} + +type ShortTermConfig struct { + MaxItems int `toml:"max_items"` + CompressionThreshold int `toml:"compression_threshold"` +} + +type LongTermConfig struct { + Enabled bool `toml:"enabled"` + VectorIndex bool `toml:"vector_index"` + MaxReturn int `toml:"max_return"` + ArchiveThreshold float64 `toml:"archive_threshold"` +} + +type InjectConfig struct { + FirstRoundEmpty bool `toml:"first_round_empty"` + ShortTermCount int `toml:"short_term_count"` + LongTermTrigger string `toml:"long_term_trigger"` + MinQueryLength int `toml:"min_query_length"` +} + +type MemoryAgentConfig struct { + Enabled bool `toml:"enabled"` + Provider string `toml:"provider"` + Model string `toml:"model"` + APIKey string `toml:"api_key"` + BaseURL string `toml:"base_url"` + Timeout time.Duration `toml:"timeout"` + Extract ExtractConfig `toml:"extract"` + Summarize SummarizeConfig `toml:"summarize"` +} + +type ExtractConfig struct { + BatchSize int `toml:"batch_size"` + MaxFacts int `toml:"max_facts"` + MinConfidence float64 `toml:"min_confidence"` + AutoTag bool `toml:"auto_tag"` +} + +type SummarizeConfig struct { + Enabled bool `toml:"enabled"` + TriggerTokens int `toml:"trigger_tokens"` +} + +type SiliconConfig struct { + APIKey string `toml:"api_key"` + BaseURL string `toml:"base_url"` +} + // AgentConfig 保存 Agent 身份和行为的配置。 type AgentConfig struct { // Role 是 Agent 的角色标识，如 "assistant", "coder", "reviewer" 等。 @@ -105,9 +171,71 @@ func DefaultConfig() *Config { SystemPrompt: "", PromptFile: "", }, + Embedding: EmbeddingConfig{ + Provider: "siliconflow", + Model: "Pro/BAAI/bge-m3", + Dim: 1024, + MaxCtx: 8192, + }, + Memory: MemoryConfig{ + Enabled: true, + MaxHistory: 100, + ShortTerm: ShortTermConfig{ + MaxItems: 10, + CompressionThreshold: 200, + }, + LongTerm: LongTermConfig{ + Enabled: true, + VectorIndex: true, + MaxReturn: 2, + ArchiveThreshold: 0.3, + }, + Inject: InjectConfig{ + FirstRoundEmpty: true, + ShortTermCount: 3, + LongTermTrigger: "technical", + MinQueryLength: 10, + }, + }, + MemoryAgent: MemoryAgentConfig{ + Enabled: true, + Provider: "deepseek", + Model: "deepseek-v4-flash", + Timeout: 60 * time.Second, + Extract: ExtractConfig{ + BatchSize: 5, + MaxFacts: 10, + MinConfidence: 0.6, + AutoTag: true, + }, + Summarize: SummarizeConfig{ + Enabled: true, + TriggerTokens: 4000, + }, + }, + SiliconFlow: SiliconConfig{ + APIKey: "", + BaseURL: "https://api.siliconflow.cn/v1", + }, } } +func (c *Config) expandPaths() { + c.Session.StorageDir = expandHomeDir(c.Session.StorageDir) + c.Sandbox.WorkingDir = expandHomeDir(c.Sandbox.WorkingDir) + c.Agent.PromptFile = expandHomeDir(c.Agent.PromptFile) +} + +func expandHomeDir(path string) string { + if len(path) > 0 && path[0] == '~' { + home, err := os.UserHomeDir() + if err == nil { + return home + path[1:] + } + } + return path +} + // LoadConfigFromFile 从指定路径加载 TOML 配置文件。 // 如果文件不存在，返回默认配置。 func LoadConfigFromFile(path string) (*Config, error) { @@ -121,6 +249,8 @@ func LoadConfigFromFile(path string) (*Config, error) { return nil, fmt.Errorf("config: failed to load %q: %w", path, err) } + cfg.expandPaths() + return cfg, nil } diff --git a/internal/web/html.go b/internal/web/html.go deleted file mode 100644 index 7281490..0000000 --- a/internal/web/html.go +++ /dev/null @@ -1,585 +0,0 @@ -package web - -const indexHTML = ` - - - - - orca.agent - - - - - - -
-

orca.agent

- v0.1.0 -
-
-
-
-
Processing...
-
-
- - -
-
-
-
-

Statistics

-
- Tools: - 0 -
-
- Skills: - 0 -
-
- Agents: - 0 -
-
-
-

Active Agents

-
-
-
-
- - - -` diff --git a/internal/web/server.go b/internal/web/server.go deleted file mode 100644 index fb2d32a..0000000 --- a/internal/web/server.go +++ /dev/null @@ -1,207 +0,0 @@ -package web - -import ( - "encoding/json" - "fmt" - "net/http" - "strings" - "sync" - - "github.com/orca/orca/pkg/actor" - "github.com/orca/orca/pkg/kernel" -) - -type Server struct { - kernel *kernel.Kernel - port int - clients map[string]*SSEClient - clientsMu sync.RWMutex - msgCounter int -} - -type SSEClient struct { - ID string - Writer http.ResponseWriter - Flusher http.Flusher - Done chan bool -} - -type sseWriter struct { - client *SSEClient - mu sync.Mutex -} - -func (w *sseWriter) Write(p []byte) (n int, err error) { - w.mu.Lock() - defer w.mu.Unlock() - - select { - case <-w.client.Done: - return len(p), nil - default: - } - - data := string(p) - if strings.TrimSpace(data) == "" { - return len(p), nil - } - - lines := strings.Split(data, "\n") - for _, line := range lines { - fmt.Fprintf(w.client.Writer, "data: %s\n", line) - } - fmt.Fprint(w.client.Writer, "\n") - w.client.Flusher.Flush() - return len(p), nil -} - -func NewServer(k *kernel.Kernel, port int) *Server { - if port <= 0 { - port = 8081 - } - return &Server{ - kernel: k, - port: port, - clients: make(map[string]*SSEClient), - } -} - -func (s *Server) Start() error { - mux := http.NewServeMux() - - mux.HandleFunc("/api/stream", s.handleStream) - mux.HandleFunc("/api/chat", s.handleChat) - mux.HandleFunc("/api/stats", s.handleStats) - mux.HandleFunc("/api/agents", s.handleAgents) - mux.HandleFunc("/", s.handleIndex) - - addr := fmt.Sprintf(":%d", s.port) - return http.ListenAndServe(addr, mux) -} - -func (s *Server) handleStream(w http.ResponseWriter, r *http.Request) { - w.Header().Set("Content-Type", "text/event-stream") - w.Header().Set("Cache-Control", "no-cache") - w.Header().Set("Connection", "keep-alive") - w.Header().Set("Access-Control-Allow-Origin", "*") - - flusher, ok := w.(http.Flusher) - if !ok { - http.Error(w, "Streaming unsupported", http.StatusInternalServerError) - return - } - - s.msgCounter++ - clientID := fmt.Sprintf("client-%d", s.msgCounter) - client := &SSEClient{ - ID: clientID, - Writer: w, - Flusher: flusher, - Done: make(chan bool), - } - - s.clientsMu.Lock() - s.clients[clientID] = client - s.clientsMu.Unlock() - - fmt.Fprintf(w, "event: connected\ndata: %s\n\n", clientID) - flusher.Flush() - - <-r.Context().Done() - - s.clientsMu.Lock() - delete(s.clients, clientID) - s.clientsMu.Unlock() - close(client.Done) -} - -func (s *Server) handleChat(w http.ResponseWriter, r *http.Request) { - if r.Method != http.MethodPost { - http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) - return - } - - var req struct { - Message string `json:"message"` - } - if err := json.NewDecoder(r.Body).Decode(&req); err != nil { - http.Error(w, err.Error(), http.StatusBadRequest) - return - } - - s.clientsMu.RLock() - var client *SSEClient - for _, c := range s.clients { - client = c - break - } - s.clientsMu.RUnlock() - - if client != nil { - writer := &sseWriter{client: client} - s.kernel.SetStreamWriter(writer) - } - - resp, err := s.kernel.SendMessage("user", "llm", req.Message) - if err != nil { - json.NewEncoder(w).Encode(map[string]string{ - "error": err.Error(), - }) - return - } - - json.NewEncoder(w).Encode(map[string]string{ - "response": resp, - }) -} - -func (s *Server) handleStats(w http.ResponseWriter, r *http.Request) { - w.Header().Set("Content-Type", "application/json") - - stats := map[string]interface{}{ - "tools": 0, - "skills": 0, - "agents": 0, - } - - if tm := s.kernel.ToolManager(); tm != nil { - stats["tools"] = tm.Count() - } - if sm := s.kernel.SkillManager(); sm != nil { - stats["skills"] = len(sm.ListSkills()) - } - if as := s.kernel.ActorSystem(); as != nil { - stats["agents"] = as.AgentCount() - } - - json.NewEncoder(w).Encode(stats) -} - -func (s *Server) handleAgents(w http.ResponseWriter, r *http.Request) { - w.Header().Set("Content-Type", "application/json") - - var agents []map[string]string - if as := s.kernel.ActorSystem(); as != nil { - for _, info := range as.AgentInfos() { - status := "idle" - if info.Status == actor.StatusProcessing { - status = "running" - } - agents = append(agents, map[string]string{ - "id": info.ID, - "status": status, - }) - } - } - - json.NewEncoder(w).Encode(agents) -} - -func (s *Server) handleIndex(w http.ResponseWriter, r *http.Request) { - if r.URL.Path != "/" { - http.NotFound(w, r) - return - } - w.Header().Set("Content-Type", "text/html; charset=utf-8") - w.Write([]byte(indexHTML)) -} diff --git a/internal/websocket/server.go b/internal/websocket/server.go new file mode 100644 index 0000000..59b6bde --- /dev/null +++ b/internal/websocket/server.go @@ -0,0 +1,469 @@ +package websocket + +import ( + "encoding/json" + "fmt" + "log" + "net/http" + "os" + "path/filepath" + "strings" + "sync" + "time" + + "github.com/gorilla/websocket" + "github.com/orca/orca/pkg/actor" + "github.com/orca/orca/pkg/bus" + "github.com/orca/orca/pkg/kernel" +) + +var upgrader = websocket.Upgrader{ + CheckOrigin: func(r *http.Request) bool { + return true + }, + ReadBufferSize: 1024, + WriteBufferSize: 1024, +} + +type Server struct { + kernel *kernel.Kernel + port int + clients map[string]*Client + clientsMu sync.RWMutex + counter int +} + +type Client struct { + ID string + Conn *websocket.Conn + Send chan []byte + Server *Server +} + +type Message struct { + Type string `json:"type"` + Content string `json:"content,omitempty"` + Message string `json:"message,omitempty"` + Text string `json:"text,omitempty"` + Agent string `json:"agent,omitempty"` + Stats Stats `json:"stats,omitempty"` + Agents []AgentInfo `json:"agents,omitempty"` +} + +type Stats struct { + Tools int `json:"tools"` + Skills int `json:"skills"` + Agents int `json:"agents"` +} + +type AgentInfo struct { + ID string `json:"id"` + Status string `json:"status"` +} + +func NewServer(k *kernel.Kernel, port int) *Server { + s := &Server{ + kernel: k, + port: port, + clients: make(map[string]*Client), + } + + if mb := k.Bus(); mb != nil { + mb.Subscribe("agent_events", func(msg bus.Message) { + s.broadcastAgentEvent(msg) + }) + } + + return s +} + +func (s *Server) Start() error { + mux := http.NewServeMux() + + // WebSocket endpoint + mux.HandleFunc("/ws", s.handleWebSocket) + + // API endpoints - must be registered before static files + mux.HandleFunc("/api/stats", s.handleStats) + mux.HandleFunc("/api/agents", s.handleAgents) + mux.HandleFunc("/api/sessions", s.handleSessions) + mux.HandleFunc("/api/sessions/", s.handleSessionMessages) + + // Static files - serve React build + webDir := filepath.Join("web", "dist") + if _, err := os.Stat(webDir); err == nil { + fs := http.FileServer(http.Dir(webDir)) + mux.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) { + // Skip API paths + if strings.HasPrefix(r.URL.Path, "/api/") || r.URL.Path == "/ws" { + w.WriteHeader(http.StatusNotFound) + return + } + path := filepath.Join(webDir, r.URL.Path) + _, err := os.Stat(path) + if os.IsNotExist(err) || r.URL.Path == "/" { + http.ServeFile(w, r, filepath.Join(webDir, "index.html")) + return + } + fs.ServeHTTP(w, r) + }) + } + + addr := fmt.Sprintf(":%d", s.port) + log.Printf("WebSocket server starting on http://localhost%s", addr) + return http.ListenAndServe(addr, mux) +} + +func (s *Server) handleWebSocket(w http.ResponseWriter, r *http.Request) { + conn, err := upgrader.Upgrade(w, r, nil) + if err != nil { + log.Printf("WebSocket upgrade error: %v", err) + return + } + + s.counter++ + client := &Client{ + ID: fmt.Sprintf("client-%d", s.counter), + Conn: conn, + Send: make(chan []byte, 256), + Server: s, + } + + s.clientsMu.Lock() + s.clients[client.ID] = client + s.clientsMu.Unlock() + + // Send initial stats and agents + s.broadcastStats() + s.broadcastAgents() + + go client.writePump() + go client.readPump() +} + +func (c *Client) readPump() { + defer func() { + c.Server.removeClient(c) + c.Conn.Close() + }() + + c.Conn.SetReadLimit(512 * 1024) + c.Conn.SetReadDeadline(time.Now().Add(60 * time.Second)) + c.Conn.SetPongHandler(func(string) error { + c.Conn.SetReadDeadline(time.Now().Add(60 * time.Second)) + return nil + }) + + for { + _, message, err := c.Conn.ReadMessage() + if err != nil { + if websocket.IsUnexpectedCloseError(err, websocket.CloseGoingAway, websocket.CloseAbnormalClosure) { + log.Printf("WebSocket error: %v", err) + } + break + } + + var msg Message + if err := json.Unmarshal(message, &msg); err != nil { + continue + } + + if msg.Type == "chat" { + go c.handleChat(msg.Message) + } + } +} + +func (c *Client) handleChat(userMessage string) { + writer := &wsWriter{client: c} + c.Server.kernel.SetStreamWriter(writer) + + resp, err := c.Server.kernel.SendMessage("user", "llm", userMessage) + if err != nil { + c.sendJSON(Message{Type: "error", Content: err.Error()}) + return + } + + c.sendJSON(Message{Type: "complete", Content: resp}) +} + +func (c *Client) writePump() { + ticker := time.NewTicker(54 * time.Second) + defer func() { + ticker.Stop() + c.Conn.Close() + }() + + for { + select { + case message, ok := <-c.Send: + c.Conn.SetWriteDeadline(time.Now().Add(10 * time.Second)) + if !ok { + c.Conn.WriteMessage(websocket.CloseMessage, []byte{}) + return + } + c.Conn.WriteMessage(websocket.TextMessage, message) + + case <-ticker.C: + c.Conn.SetWriteDeadline(time.Now().Add(10 * time.Second)) + if err := c.Conn.WriteMessage(websocket.PingMessage, nil); err != nil { + return + } + } + } +} + +func (c *Client) sendJSON(v interface{}) { + data, err := json.Marshal(v) + if err != nil { + return + } + select { + case c.Send <- data: + default: + // Channel full, drop message + } +} + +func (s *Server) removeClient(c *Client) { + s.clientsMu.Lock() + delete(s.clients, c.ID) + s.clientsMu.Unlock() + close(c.Send) +} + +func (s *Server) broadcastJSON(v interface{}) { + data, err := json.Marshal(v) + if err != nil { + return + } + + s.clientsMu.RLock() + defer s.clientsMu.RUnlock() + + for _, client := range s.clients { + select { + case client.Send <- data: + default: + // Channel full + } + } +} + +func (s *Server) broadcastAgentEvent(msg bus.Message) { + content, ok := msg.Content.(map[string]interface{}) + if !ok { + return + } + + eventType, _ := content["event"].(string) + + switch eventType { + case "token": + text, _ := content["text"].(string) + agent, _ := content["agent"].(string) + if text == "" || agent == "" { + return + } + msg := Message{ + Type: "agent_token", + Agent: agent, + Content: text, + } + data, _ := json.Marshal(msg) + s.broadcast(data) + default: + event := Message{ + Type: eventType, + Agent: content["agent"].(string), + Message: "", + } + if task, ok := content["task"].(string); ok { + event.Message = task + } + if result, ok := content["result"].(string); ok && result != "" { + event.Content = result + } + data, err := json.Marshal(event) + if err != nil { + return + } + s.broadcast(data) + } +} + +func (s *Server) broadcast(data []byte) { + s.clientsMu.RLock() + defer s.clientsMu.RUnlock() + + for _, client := range s.clients { + select { + case client.Send <- data: + default: + } + } +} + +func (s *Server) broadcastStats() { + stats := Stats{} + if tm := s.kernel.ToolManager(); tm != nil { + stats.Tools = tm.Count() + } + if sm := s.kernel.SkillManager(); sm != nil { + stats.Skills = len(sm.ListSkills()) + } + if as := s.kernel.ActorSystem(); as != nil { + stats.Agents = as.AgentCount() + } + s.broadcastJSON(Message{Type: "stats", Stats: stats}) +} + +func (s *Server) broadcastAgents() { + var agents []AgentInfo + if as := s.kernel.ActorSystem(); as != nil { + for _, info := range as.AgentInfos() { + status := "idle" + if info.Status == actor.StatusProcessing { + status = "running" + } + agents = append(agents, AgentInfo{ID: info.ID, Status: status}) + } + } + s.broadcastJSON(Message{Type: "agents", Agents: agents}) +} + +func (s *Server) handleStats(w http.ResponseWriter, r *http.Request) { + w.Header().Set("Content-Type", "application/json") + stats := Stats{} + if tm := s.kernel.ToolManager(); tm != nil { + stats.Tools = tm.Count() + } + if sm := s.kernel.SkillManager(); sm != nil { + stats.Skills = len(sm.ListSkills()) + } + if as := s.kernel.ActorSystem(); as != nil { + stats.Agents = as.AgentCount() + } + json.NewEncoder(w).Encode(stats) +} + +func (s *Server) handleAgents(w http.ResponseWriter, r *http.Request) { + w.Header().Set("Content-Type", "application/json") + var agents []AgentInfo + if as := s.kernel.ActorSystem(); as != nil { + for _, info := range as.AgentInfos() { + status := "idle" + if info.Status == actor.StatusProcessing { + status = "running" + } + agents = append(agents, AgentInfo{ID: info.ID, Status: status}) + } + } + json.NewEncoder(w).Encode(agents) +} + +type SessionInfo struct { + ID string `json:"id"` + MessageCount int `json:"message_count"` + CreatedAt string `json:"created_at"` +} + +type SessionMessage struct { + Role string `json:"role"` + Content string `json:"content"` + Timestamp string `json:"timestamp"` +} + +func (s *Server) handleSessions(w http.ResponseWriter, r *http.Request) { + w.Header().Set("Content-Type", "application/json") + + sessionMgr := s.kernel.SessionManager() + if sessionMgr == nil { + json.NewEncoder(w).Encode([]SessionInfo{}) + return + } + + sessionIDs, err := sessionMgr.ListSessions() + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + var result []SessionInfo + for _, id := range sessionIDs { + session, err := sessionMgr.GetSession(id) + if err != nil { + continue + } + result = append(result, SessionInfo{ + ID: session.ID, + MessageCount: len(session.Messages), + CreatedAt: session.CreatedAt.Format(time.RFC3339), + }) + } + + json.NewEncoder(w).Encode(result) +} + +func (s *Server) handleSessionMessages(w http.ResponseWriter, r *http.Request) { + w.Header().Set("Content-Type", "application/json") + + path := strings.TrimPrefix(r.URL.Path, "/api/sessions/") + if path == "" || path == "/api/sessions" { + http.Error(w, "session ID required", http.StatusBadRequest) + return + } + + sessionMgr := s.kernel.SessionManager() + if sessionMgr == nil { + json.NewEncoder(w).Encode([]SessionMessage{}) + return + } + + session, err := sessionMgr.GetSession(path) + if err != nil { + http.Error(w, err.Error(), http.StatusNotFound) + return + } + + var result []SessionMessage + for _, msg := range session.Messages { + result = append(result, SessionMessage{ + Role: string(msg.Role), + Content: msg.Content, + Timestamp: msg.Timestamp.Format(time.RFC3339), + }) + } + + json.NewEncoder(w).Encode(result) +} + +// wsWriter implements kernel.StreamWriter +type wsWriter struct { + client *Client + mu sync.Mutex + buf strings.Builder +} + +func (w *wsWriter) Write(p []byte) (n int, err error) { + w.mu.Lock() + defer w.mu.Unlock() + + w.buf.Write(p) + text := w.buf.String() + w.buf.Reset() + + msg := Message{Type: "token", Text: text} + data, _ := json.Marshal(msg) + + select { + case w.client.Send <- data: + default: + } + + return len(p), nil +} + +func (w *wsWriter) Flush() error { + return nil +} diff --git a/pkg/actor/llm_agent.go b/pkg/actor/llm_agent.go index 7869e78..a8c359d 100644 --- a/pkg/actor/llm_agent.go +++ b/pkg/actor/llm_agent.go @@ -7,6 +7,7 @@ import ( "io" "strings" "sync" + "time" "github.com/orca/orca/pkg/bus" "github.com/orca/orca/pkg/llm" @@ -23,16 +24,17 @@ import ( // back to the LLM for final response generation. type LLMAgent struct { *BaseAgent - llm llm.LLM - sessionMgr *session.Manager - sessionID string - toolManager *tool.Manager - skillManager *skill.Manager - toolWorker *ToolWorker - windowSize int - streamWriter io.Writer - systemPrompt string - subAgents map[string]string + llm llm.LLM + sessionMgr *session.Manager + sessionID string + toolManager *tool.Manager + skillManager *skill.Manager + toolWorker *ToolWorker + windowSize int + streamWriter io.Writer + systemPrompt string + subAgents map[string]string + memoryManager *session.MemoryManager } // LLMAgentOption is a functional option for configuring the LLMAgent. @@ -98,6 +100,12 @@ func WithSubAgents(agents map[string]string) LLMAgentOption { } } +func WithMemoryManager(mm *session.MemoryManager) LLMAgentOption { + return func(a *LLMAgent) { + a.memoryManager = mm + } +} + // NewLLMAgent creates a new LLMAgent with the given LLM backend and options. // The agent is started automatically upon creation. func NewLLMAgent(id string, backend llm.LLM, opts ...LLMAgentOption) *LLMAgent { @@ -149,6 +157,18 @@ func (a *LLMAgent) handleUserMessage(ctx context.Context, msg bus.Message) (bus. return bus.Message{}, fmt.Errorf("llm_agent: expected string content, got %T", msg.Content) } + // 处理特殊命令 + if content == "/context" || content == "/debug" { + a.LogContextDetails(content) + return bus.Message{ + ID: msg.ID + "-response", + Type: bus.MsgTypeTaskResponse, + From: a.ID(), + To: msg.From, + Content: "[上下文详情已输出到日志]", + }, nil + } + // Ensure session exists if a.sessionMgr != nil && a.sessionID != "" { // Check if session exists; create if not @@ -162,7 +182,15 @@ func (a *LLMAgent) handleUserMessage(ctx context.Context, msg bus.Message) (bus. a.sessionMgr.AddMessage(a.sessionID, session.RoleUser, content, nil) } - llmMessages := a.buildLLMMessages() + if a.memoryManager != nil && a.sessionID != "" { + a.memoryManager.SaveMessage(a.sessionID, session.SessionMessage{ + Role: session.RoleUser, + Content: content, + Timestamp: time.Now(), + }) + } + + llmMessages := a.buildLLMMessages(content) if a.skillManager != nil { matchedSkills := a.skillManager.FindSkill(content) @@ -187,6 +215,15 @@ func (a *LLMAgent) handleUserMessage(ctx context.Context, msg bus.Message) (bus. a.sessionMgr.AddMessage(a.sessionID, session.RoleAssistant, finalResponse, nil) } + if a.memoryManager != nil && a.sessionID != "" { + a.memoryManager.SaveMessage(a.sessionID, session.SessionMessage{ + Role: session.RoleAssistant, + Content: finalResponse, + Timestamp: time.Now(), + }) + go a.memoryManager.MaintainSessionMemory(a.sessionID, content, finalResponse) + } + return bus.Message{ ID: msg.ID + "-response", Type: bus.MsgTypeTaskResponse, @@ -196,8 +233,25 @@ func (a *LLMAgent) handleUserMessage(ctx context.Context, msg bus.Message) (bus. }, nil } -func (a *LLMAgent) buildLLMMessages() []llm.Message { +type contextStats struct { + systemPromptTokens int + toolPromptTokens int + memoryTokens int + historyTokens int + memoryShortTerm int + memoryLongTerm int + historyCount int +} + +func (a *LLMAgent) buildLLMMessages(query string) []llm.Message { + return a.buildLLMMessagesWithStats(query, nil) +} + +func (a *LLMAgent) buildLLMMessagesWithStats(query string, stats *contextStats) []llm.Message { messages := make([]llm.Message, 0) + if stats == nil { + stats = &contextStats{} + } // 1. 用户自定义 system prompt（配置式身份描述） if a.systemPrompt != "" { @@ -205,6 +259,7 @@ func (a *LLMAgent) buildLLMMessages() []llm.Message { Role: "system", Content: a.systemPrompt, }) + stats.systemPromptTokens = estimateTokens(a.systemPrompt) } // 2. 运行时工具说明（动态生成） @@ -214,41 +269,122 @@ func (a *LLMAgent) buildLLMMessages() []llm.Message { Role: "system", Content: toolPrompt, }) + stats.toolPromptTokens = estimateTokens(toolPrompt) } - if a.sessionMgr == nil || a.sessionID == "" { - return messages - } - - sessionMsgs, err := a.sessionMgr.GetContext(a.sessionID, a.windowSize) - if err != nil { - return messages - } - - for _, sm := range sessionMsgs { - msg := llm.Message{ - Role: string(sm.Role), - Content: sm.Content, + if a.memoryManager != nil && a.sessionID != "" { + if a.memoryManager.ShouldInjectMemory(a.sessionID, query) { + memoryCtx, memStats := a.memoryManager.BuildMemoryContextWithStats(a.sessionID, query) + if memoryCtx != "" { + messages = append(messages, llm.Message{ + Role: "system", + Content: memoryCtx, + }) + stats.memoryTokens = memStats.TotalTokens + stats.memoryShortTerm = memStats.ShortTermCount + stats.memoryLongTerm = memStats.LongTermCount + } } - if sm.Role == session.RoleTool && sm.Metadata != nil { - msg.ToolCallID = sm.Metadata["tool_call_id"] + } + + if a.sessionMgr != nil && a.sessionID != "" { + sessionMsgs, err := a.sessionMgr.GetContext(a.sessionID, a.windowSize) + if err == nil { + stats.historyCount = len(sessionMsgs) + for _, sm := range sessionMsgs { + msg := llm.Message{ + Role: string(sm.Role), + Content: sm.Content, + } + if sm.Role == session.RoleTool && sm.Metadata != nil { + msg.ToolCallID = sm.Metadata["tool_call_id"] + } + messages = append(messages, msg) + stats.historyTokens += estimateTokens(sm.Content) + } } - messages = append(messages, msg) } return messages } +func (a *LLMAgent) LogContextDetails(query string) { + fmt.Println("\n========== 上下文详情 ==========") + + if a.memoryManager != nil && a.sessionID != "" { + fmt.Println("\n[记忆内容]") + shortTerm, _ := a.memoryManager.GetShortTermMemory(a.sessionID, query) + if len(shortTerm) > 0 { + fmt.Println(" 短期记忆:") + for i, m := range shortTerm { + fmt.Printf(" [%d] %s\n", i+1, truncateForDisplay(m, 80)) + } + } + longTerm, _ := a.memoryManager.GetLongTermMemory(query) + if len(longTerm) > 0 { + fmt.Println(" 长期记忆:") + for i, m := range longTerm { + fmt.Printf(" [%d] %s\n", i+1, truncateForDisplay(m.Content, 80)) + } + } + if len(shortTerm) == 0 && len(longTerm) == 0 { + fmt.Println(" (无记忆)") + } + + cacheSize, cacheHits, cacheMisses := a.memoryManager.CacheStats() + fmt.Printf("\n[Embedding缓存] 大小=%d, 命中=%d, 未命中=%d, 命中率=%.1f%%\n", + cacheSize, cacheHits, cacheMisses, + float64(cacheHits)*100/float64(cacheHits+cacheMisses+1)) + } + + if a.sessionMgr != nil && a.sessionID != "" { + fmt.Println("\n[历史对话]") + sessionMsgs, err := a.sessionMgr.GetContext(a.sessionID, a.windowSize) + if err == nil && len(sessionMsgs) > 0 { + start := 0 + if len(sessionMsgs) > 10 { + start = len(sessionMsgs) - 10 + fmt.Printf(" (显示最近 10/%d 条)\n", len(sessionMsgs)) + } + for i := start; i < len(sessionMsgs); i++ { + sm := sessionMsgs[i] + role := string(sm.Role) + if role == "" { + role = "unknown" + } + fmt.Printf(" [%s] %s\n", role, truncateForDisplay(sm.Content, 80)) + } + } else { + fmt.Println(" (无历史)") + } + } + + fmt.Println("================================\n") +} + +func truncateForDisplay(s string, maxLen int) string { + if len(s) <= maxLen { + return s + } + return s[:maxLen] + "..." +} + +func estimateTokens(text string) int { + return len([]rune(text)) / 4 +} + // buildToolPrompt 生成工具说明提示词（不包含身份描述）。 // 将可用工具和调用规则注入给 LLM，支持基于提示词的工具调用。 func (a *LLMAgent) buildToolPrompt() string { var b strings.Builder if a.toolManager != nil { + tools := a.toolManager.List() + b.WriteString("你可以使用以下工具来完成用户的请求。\n\n") b.WriteString("可用工具列表：\n") - for _, t := range a.toolManager.List() { + for _, t := range tools { b.WriteString(fmt.Sprintf("\n工具名: %s\n", t.Name())) b.WriteString(fmt.Sprintf("描述: %s\n", t.Description())) paramsJSON, _ := json.Marshal(t.Parameters()) @@ -261,7 +397,8 @@ func (a *LLMAgent) buildToolPrompt() string { b.WriteString("2. 如果需要同时调用多个工具（并行执行），请输出 JSON 数组格式：\n") b.WriteString(` [{"tool": "工具名1", "arguments": {...}}, {"tool": "工具名2", "arguments": {...}}]` + "\n") b.WriteString("3. 如果你已经看到了工具返回的结果，请直接根据结果回答用户，不要再次调用工具。\n") - b.WriteString("4. 如果你不需要调用工具，请直接回复用户。\n") + b.WriteString("4. 当你不需要调用工具时，请直接回复用户。\n") + b.WriteString("5. 当用户的请求涉及代码、架构、数学计算等专业领域时，你必须调用相应的子Agent，不要自己直接回答。\n") } if len(a.subAgents) > 0 { @@ -272,7 +409,8 @@ func (a *LLMAgent) buildToolPrompt() string { b.WriteString("\n调用方式：使用 agent_call 工具，指定 agent 名称和任务描述。\n") b.WriteString("示例：{\"tool\": \"agent_call\", \"arguments\": {\"agent\": \"coder\", \"task\": \"写个快速排序\"}}\n") b.WriteString("如果用户有多个独立任务，请同时调用多个 agent_call（JSON数组格式），让它们并行执行。\n") - b.WriteString("\n重要：当用户的请求涉及上述专业领域时，你必须调用相应的子Agent，不要自己直接回答。\n") + b.WriteString("\n【强制规则】当用户的请求涉及代码编程、系统架构、数学计算、代码审查等专业领域时，你必须调用相应的子Agent。\n") + b.WriteString("你绝对不能自己直接回答编程或架构问题，必须通过 agent_call 工具委托给专业Agent处理。\n") } if a.skillManager != nil { @@ -305,6 +443,47 @@ func (a *LLMAgent) buildToolPrompt() string { return b.String() } +func (a *LLMAgent) buildToolDefs() []llm.ToolDef { + var tools []llm.ToolDef + + if a.toolManager != nil { + for _, t := range a.toolManager.List() { + params := t.Parameters() + properties := make(map[string]llm.ToolProperty) + required := []string{} + + for name, param := range params { + prop := llm.ToolProperty{ + Type: param.Type, + Description: param.Description, + } + if len(param.Enum) > 0 { + prop.Enum = param.Enum + } + properties[name] = prop + if param.Required { + required = append(required, name) + } + } + + tools = append(tools, llm.ToolDef{ + Type: "function", + Function: llm.ToolFunction{ + Name: t.Name(), + Description: t.Description(), + Parameters: llm.ToolFunctionParameters{ + Type: "object", + Required: required, + Properties: properties, + }, + }, + }) + } + } + + return tools +} + func (a *LLMAgent) chatWithToolLoop(ctx context.Context, messages []llm.Message) (string, error) { maxRounds := 10 @@ -332,6 +511,7 @@ func (a *LLMAgent) chatWithToolLoop(ctx context.Context, messages []llm.Message) }) results := a.executeToolCallsParallel(ctx, toolCalls) + for _, result := range results { messages = append(messages, llm.Message{ Role: "user", @@ -452,20 +632,35 @@ func (a *LLMAgent) parseToolCallsFromContent(content string) []llm.ToolCall { } func (a *LLMAgent) extractJSONFromMarkdown(content string) string { - start := strings.Index(content, "```") + start := strings.Index(content, "`"+"``json") if start == -1 { - return content + start = strings.Index(content, "`"+"``") + if start == -1 { + return content + } + } else { + start += 7 } - start = strings.Index(content[start:], "\n") - if start == -1 { - return content + if !strings.HasPrefix(content[start:], "`"+"``") { + newline := strings.Index(content[start:], "\n") + if newline != -1 { + start = start + newline + 1 + } + } else { + start += 3 + newline := strings.Index(content[start:], "\n") + if newline != -1 { + start = start + newline + 1 + } } - start++ - end := strings.LastIndex(content[start:], "```") + end := strings.Index(content[start:], "\n`"+"``") if end == -1 { - return content + end = strings.Index(content[start:], "`"+"``") + } + if end == -1 { + return strings.TrimSpace(content[start:]) } return strings.TrimSpace(content[start : start+end]) diff --git a/pkg/actor/memory_extractor.go b/pkg/actor/memory_extractor.go new file mode 100644 index 0000000..e526d3c --- /dev/null +++ b/pkg/actor/memory_extractor.go @@ -0,0 +1,165 @@ +package actor + +import ( + "context" + "encoding/json" + "fmt" + "os" + "path/filepath" + "strings" + + "github.com/orca/orca/pkg/bus" + "github.com/orca/orca/pkg/llm" +) + +type MemoryExtractorAgent struct { + *SubAgent + config ExtractConfig +} + +type ExtractConfig struct { + BatchSize int + MaxFacts int + MinConfidence float64 + AutoTag bool +} + +type Dialogue struct { + UserQuery string + AssistantResponse string +} + +type Fact struct { + Content string `json:"content"` + Type string `json:"type"` + Tags []string `json:"tags"` + Confidence float64 `json:"confidence"` + Replace *string `json:"replace"` +} + +type ExtractResult struct { + Facts []Fact `json:"facts"` +} + +const DefaultMemoryExtractorPrompt = `# Memory Extractor Agent + +你是一个专门从对话中提取用户信息的 Agent。你的工作是将非结构化的对话转化为结构化的长期记忆。 + +## 任务 + +分析给定的对话记录，提取以下类型的信息： + +1. **事实 (fact)**：客观信息 + - 工作：公司、职位、技术栈、行业 + - 技术：擅长语言、框架偏好、架构经验 + - 个人：教育背景、所在城市（仅用户明确提及） + +2. **偏好 (preference)**：主观倾向 + - 回答风格：简洁/详细/代码示例/架构图 + - 技术偏好：语言、数据库、部署方式 + - 沟通偏好：正式/ casual + +3. **项目 (project)**：当前工作 + - 项目名称、技术方案、当前阶段、遇到的挑战 + +## 输出格式 + +只输出 JSON，不要任何解释： + +` + "```json" + ` +{ + "facts": [ + { + "content": "用户在电商公司担任后端工程师", + "type": "fact", + "tags": ["工作", "后端", "电商"], + "confidence": 0.95, + "replace": null + }, + { + "content": "用户偏好简洁的技术回答，不要过多解释", + "type": "preference", + "tags": ["沟通风格", "偏好"], + "confidence": 0.85, + "replace": "用户喜欢详细的回答" + } + ] +} +` + "```" + ` + +## 规则 + +- confidence < 0.6 的事实不输出 +- 如果新事实与旧事实冲突： + - 在 replace 字段填入被替换的旧事实 content + - 只替换同一 type + 同一 tags 的事实 +- 不猜测、不推断，只提取用户明确表达的信息 +- 标签从预设列表选择：工作、技术、偏好、项目、沟通风格、行业` + +func loadAgentPrompt(agentName string) string { + path := filepath.Join(os.Getenv("HOME"), ".orca", "agents", "_builtin", agentName+".md") + data, err := os.ReadFile(path) + if err != nil { + return DefaultMemoryExtractorPrompt + } + return string(data) +} + +func NewMemoryExtractorAgent(id string, llmBackend llm.LLM, cfg ExtractConfig) *MemoryExtractorAgent { + prompt := loadAgentPrompt("memory_extractor") + + sa := NewSubAgent(id, llmBackend, + WithSubAgentRole("memory_extractor"), + WithSubAgentSystemPrompt(prompt), + ) + + return &MemoryExtractorAgent{ + SubAgent: sa, + config: cfg, + } +} + +func (mea *MemoryExtractorAgent) ExtractFacts(dialogues []Dialogue) ([]Fact, error) { + var sb strings.Builder + sb.WriteString("请分析以下对话记录，提取用户的关键信息：\n\n") + for i, d := range dialogues { + sb.WriteString(fmt.Sprintf("--- 对话 %d ---\n", i+1)) + sb.WriteString(fmt.Sprintf("用户：%s\n", d.UserQuery)) + sb.WriteString(fmt.Sprintf("助手：%s\n\n", d.AssistantResponse)) + } + + msg := bus.Message{Type: bus.MsgTypeTaskRequest, Content: sb.String()} + resp, err := mea.Process(context.Background(), msg) + if err != nil { + return nil, fmt.Errorf("extract facts failed: %w", err) + } + + return parseFactJSON(resp.Content.(string)) +} + +func parseFactJSON(content string) ([]Fact, error) { + content = extractJSONFromMarkdown(content) + + var result ExtractResult + if err := json.Unmarshal([]byte(content), &result); err != nil { + return nil, fmt.Errorf("parse fact json failed: %w", err) + } + + return result.Facts, nil +} + +func extractJSONFromMarkdown(content string) string { + if idx := strings.Index(content, "```json"); idx != -1 { + start := idx + 7 + if end := strings.Index(content[start:], "```"); end != -1 { + return strings.TrimSpace(content[start : start+end]) + } + } + if idx := strings.Index(content, "```"); idx != -1 { + start := idx + 3 + if end := strings.Index(content[start:], "```"); end != -1 { + return strings.TrimSpace(content[start : start+end]) + } + } + return strings.TrimSpace(content) +} \ No newline at end of file diff --git a/pkg/actor/subagent.go b/pkg/actor/subagent.go index dbb5e15..94b83c0 100644 --- a/pkg/actor/subagent.go +++ b/pkg/actor/subagent.go @@ -5,17 +5,27 @@ import ( "fmt" "io" "strings" + "time" + "github.com/google/uuid" "github.com/orca/orca/pkg/bus" "github.com/orca/orca/pkg/llm" + "github.com/orca/orca/pkg/session" ) +type SubAgentStore interface { + SaveSubAgentMessage(parentSessionID, sessionID, agentName string, msg session.SessionMessage) error + LoadSubAgentMessages(sessionID string) ([]session.SessionMessage, error) +} + type SubAgent struct { *BaseAgent - llmBackend llm.LLM - systemPrompt string - role string - streamWriter io.Writer + llmBackend llm.LLM + systemPrompt string + role string + streamWriter io.Writer + store SubAgentStore + parentSessionID string } type SubAgentOption func(*SubAgent) @@ -38,6 +48,18 @@ func WithSubAgentStreamWriter(w io.Writer) SubAgentOption { } } +func WithSubAgentStore(store SubAgentStore) SubAgentOption { + return func(a *SubAgent) { + a.store = store + } +} + +func WithSubAgentParentSessionID(parentSessionID string) SubAgentOption { + return func(a *SubAgent) { + a.parentSessionID = parentSessionID + } +} + func NewSubAgent(id string, llmBackend llm.LLM, opts ...SubAgentOption) *SubAgent { sa := &SubAgent{ BaseAgent: NewBaseAgent(id, "subagent"), @@ -71,6 +93,10 @@ func (sa *SubAgent) SetStreamWriter(w io.Writer) { sa.streamWriter = w } +func (sa *SubAgent) SetParentSessionID(parentSessionID string) { + sa.parentSessionID = parentSessionID +} + func (sa *SubAgent) handleMessage(ctx context.Context, msg bus.Message) (bus.Message, error) { switch msg.Type { case bus.MsgTypeTaskRequest: @@ -83,6 +109,25 @@ func (sa *SubAgent) handleMessage(ctx context.Context, msg bus.Message) (bus.Mes } func (sa *SubAgent) handleTask(ctx context.Context, msg bus.Message) (bus.Message, error) { + sessionID := uuid.New().String() + parentSessionID := sa.parentSessionID + if parentSessionID == "" { + parentSessionID = "unknown" + } + + if sa.store != nil { + sa.store.SaveSubAgentMessage(parentSessionID, sessionID, sa.ID(), session.SessionMessage{ + Role: session.RoleSystem, + Content: sa.systemPrompt, + Timestamp: time.Now(), + }) + sa.store.SaveSubAgentMessage(parentSessionID, sessionID, sa.ID(), session.SessionMessage{ + Role: session.RoleUser, + Content: fmt.Sprintf("%v", msg.Content), + Timestamp: time.Now(), + }) + } + messages := []llm.Message{ { Role: "system", @@ -99,6 +144,14 @@ func (sa *SubAgent) handleTask(ctx context.Context, msg bus.Message) (bus.Messag return bus.Message{}, fmt.Errorf("subagent %s: LLM call failed: %w", sa.ID(), err) } + if sa.store != nil { + sa.store.SaveSubAgentMessage(parentSessionID, sessionID, sa.ID(), session.SessionMessage{ + Role: session.RoleAssistant, + Content: content, + Timestamp: time.Now(), + }) + } + return bus.Message{ ID: msg.ID + "-response", Type: bus.MsgTypeTaskResponse, @@ -106,8 +159,10 @@ func (sa *SubAgent) handleTask(ctx context.Context, msg bus.Message) (bus.Messag To: msg.From, Content: content, Metadata: map[string]string{ - "processed_by": sa.ID(), - "agent_role": sa.role, + "processed_by": sa.ID(), + "agent_role": sa.role, + "session_id": sessionID, + "parent_session_id": parentSessionID, }, }, nil } diff --git a/pkg/embedding/client.go b/pkg/embedding/client.go new file mode 100644 index 0000000..0eb35ff --- /dev/null +++ b/pkg/embedding/client.go @@ -0,0 +1,124 @@ +package embedding + +import ( + "bytes" + "encoding/json" + "fmt" + "io" + "net/http" + "time" +) + +type Client struct { + apiKey string + baseURL string + model string + client *http.Client +} + +type Config struct { + APIKey string + BaseURL string + Model string + Timeout time.Duration +} + +func NewClient(cfg Config) *Client { + if cfg.BaseURL == "" { + cfg.BaseURL = "https://api.siliconflow.cn/v1" + } + if cfg.Model == "" { + cfg.Model = "Pro/BAAI/bge-m3" + } + if cfg.Timeout == 0 { + cfg.Timeout = 30 * time.Second + } + + return &Client{ + apiKey: cfg.APIKey, + baseURL: cfg.BaseURL, + model: cfg.Model, + client: &http.Client{Timeout: cfg.Timeout}, + } +} + +type embedRequest struct { + Model string `json:"model"` + Input []string `json:"input"` +} + +type embedResponse struct { + Data []struct { + Embedding []float32 `json:"embedding"` + Index int `json:"index"` + } `json:"data"` + Error *struct { + Message string `json:"message"` + } `json:"error,omitempty"` +} + +func (c *Client) Embed(texts []string) ([][]float32, error) { + if len(texts) == 0 { + return nil, fmt.Errorf("no texts to embed") + } + + reqBody, err := json.Marshal(embedRequest{ + Model: c.model, + Input: texts, + }) + if err != nil { + return nil, fmt.Errorf("failed to marshal request: %w", err) + } + + req, err := http.NewRequest("POST", c.baseURL+"/embeddings", bytes.NewReader(reqBody)) + if err != nil { + return nil, fmt.Errorf("failed to create request: %w", err) + } + + req.Header.Set("Content-Type", "application/json") + req.Header.Set("Authorization", "Bearer "+c.apiKey) + + resp, err := c.client.Do(req) + if err != nil { + return nil, fmt.Errorf("failed to send request: %w", err) + } + defer resp.Body.Close() + + body, err := io.ReadAll(resp.Body) + if err != nil { + return nil, fmt.Errorf("failed to read response: %w", err) + } + + if resp.StatusCode != http.StatusOK { + return nil, fmt.Errorf("embedding API returned %d: %s", resp.StatusCode, string(body)) + } + + var embedResp embedResponse + if err := json.Unmarshal(body, &embedResp); err != nil { + return nil, fmt.Errorf("failed to unmarshal response: %w", err) + } + + if embedResp.Error != nil { + return nil, fmt.Errorf("embedding API error: %s", embedResp.Error.Message) + } + + results := make([][]float32, len(texts)) + for _, d := range embedResp.Data { + if d.Index < len(results) { + results[d.Index] = d.Embedding + } + } + + return results, nil +} + +func (c *Client) EmbedSingle(text string) ([]float32, error) { + results, err := c.Embed([]string{text}) + if err != nil { + return nil, err + } + if len(results) == 0 { + return nil, fmt.Errorf("no embedding returned") + } + return results[0], nil +} diff --git a/pkg/kernel/kernel.go b/pkg/kernel/kernel.go index 8393a4f..20fc84e 100644 --- a/pkg/kernel/kernel.go +++ b/pkg/kernel/kernel.go @@ -13,10 +13,12 @@ import ( "path/filepath" "strings" "sync" + "time" "github.com/orca/orca/internal/config" "github.com/orca/orca/pkg/actor" "github.com/orca/orca/pkg/bus" + "github.com/orca/orca/pkg/embedding" "github.com/orca/orca/pkg/llm" "github.com/orca/orca/pkg/plugin" "github.com/orca/orca/pkg/session" @@ -24,16 +26,6 @@ import ( "github.com/orca/orca/pkg/tool" ) -// Kernel 是 Orca 框架的微内核核心。 -// -// 它编排插件生命周期、消息路由和组件间通信。 -// 内核初始化并管理以下组件： -// - 消息总线，用于组件间通信 -// - 插件注册表，支持扩展 -// - 会话管理器，用于对话持久化 -// - 工具管理器，包含内置工具 -// - 技能管理器，用于基于技能的自动化 -// - Actor 系统，包含编排器、工作者和 LLM 代理 type Kernel struct { mu sync.RWMutex mb bus.MessageBus @@ -41,16 +33,17 @@ type Kernel struct { plugins []plugin.Plugin started bool - // Integration components - config *config.Config - sessionMgr *session.Manager - toolMgr *tool.Manager - skillMgr *skill.Manager - actorSystem *actor.System - orch *actor.Orchestrator - llmAgent *actor.LLMAgent - toolWorker *actor.ToolWorker - subAgents map[string]actor.Agent + config *config.Config + sessionMgr *session.Manager + sessionStore *session.SQLiteStore + memoryManager *session.MemoryManager + toolMgr *tool.Manager + skillMgr *skill.Manager + actorSystem *actor.System + orch *actor.Orchestrator + llmAgent *actor.LLMAgent + toolWorker *actor.ToolWorker + subAgents map[string]actor.Agent } // New 从配置文件创建一个新的 Kernel 实例。 @@ -78,12 +71,34 @@ func NewWithConfig(cfg *config.Config) *Kernel { subAgents: make(map[string]actor.Agent), } - // Initialize session manager - store, err := session.NewJSONLStore(cfg.Session.StorageDir) + storageDir := expandHomeDir(cfg.Session.StorageDir) + dbPath := filepath.Join(storageDir, "orcasession.db") + store, err := session.NewSQLiteStore(dbPath) if err != nil { log.Printf("kernel: warning: failed to create session store: %v", err) } else { + k.sessionStore = store k.sessionMgr = session.NewManager(store, k.mb) + log.Printf("kernel: session manager initialized with SQLite storage") + } + + if cfg.SiliconFlow.APIKey != "" && store != nil { + memoryCfg := session.MemoryConfig{ + DBPath: dbPath, + ModelWindow: cfg.Embedding.MaxCtx, + EmbedConfig: embedding.Config{ + APIKey: cfg.SiliconFlow.APIKey, + BaseURL: cfg.SiliconFlow.BaseURL, + Model: cfg.Embedding.Model, + Timeout: 5 * time.Second, + }, + } + k.memoryManager, err = session.NewMemoryManagerWithStore(memoryCfg, store) + if err != nil { + log.Printf("kernel: warning: failed to create memory manager: %v", err) + } else { + log.Printf("kernel: memory manager initialized with %s embedding (shared storage)", cfg.Embedding.Model) + } } // Initialize tool manager with all built-in tools @@ -137,6 +152,9 @@ func (k *Kernel) initializeActorSystem() { k.createSubAgents(ollama) agentCallTool := tool.NewAgentCallTool(k.findAgent) + if acTool, ok := agentCallTool.(interface{ SetEventBus(bus.MessageBus) }); ok { + acTool.SetEventBus(k.mb) + } if err := k.toolMgr.Register(agentCallTool); err != nil { log.Printf("kernel: warning: failed to register agent_call tool: %v", err) } @@ -148,7 +166,10 @@ func (k *Kernel) initializeActorSystem() { actor.WithWindowSize(k.config.Session.MaxHistory), } - if prompt := k.config.GetSystemPrompt(); prompt != "" { + builtinPromptPath := expandHomeDir("~/.orca/agents/_builtin/assistant.md") + if data, err := os.ReadFile(builtinPromptPath); err == nil && len(data) > 0 { + llmOpts = append(llmOpts, actor.WithSystemPrompt(string(data))) + } else if prompt := k.config.GetSystemPrompt(); prompt != "" { llmOpts = append(llmOpts, actor.WithSystemPrompt(prompt)) } @@ -170,6 +191,10 @@ func (k *Kernel) initializeActorSystem() { ) } + if k.memoryManager != nil { + llmOpts = append(llmOpts, actor.WithMemoryManager(k.memoryManager)) + } + if len(k.subAgents) > 0 { agentDescs := make(map[string]string) for name, agent := range k.subAgents { @@ -183,16 +208,20 @@ func (k *Kernel) initializeActorSystem() { llmAgent := actor.NewLLMAgent(llmAgentID, ollama, llmOpts...) k.llmAgent = llmAgent + if k.memoryManager != nil { + k.memoryManager.SetLLM(ollama) + } + k.orch.AddWorker(llmAgent) k.orch.AddWorker(tw) k.orch.SetDefaultWorker(llmAgent) } func (k *Kernel) createSubAgents(llmBackend llm.LLM) { - promptDir := expandHomeDir("~/.orca/prompts") - entries, err := os.ReadDir(promptDir) + agentsDir := expandHomeDir("~/.orca/agents") + entries, err := os.ReadDir(agentsDir) if err != nil { - log.Printf("kernel: warning: cannot read prompts dir %s: %v", promptDir, err) + log.Printf("kernel: warning: cannot read agents dir %s: %v", agentsDir, err) return } @@ -204,31 +233,30 @@ func (k *Kernel) createSubAgents(llmBackend llm.LLM) { if !strings.HasSuffix(name, ".md") { continue } - if name == "assistant.md" { - continue - } agentName := strings.TrimSuffix(name, ".md") - promptPath := filepath.Join(promptDir, name) - content, err := os.ReadFile(promptPath) + agentPath := filepath.Join(agentsDir, name) + content, err := os.ReadFile(agentPath) if err != nil { - log.Printf("kernel: warning: failed to read prompt %s: %v", promptPath, err) + log.Printf("kernel: warning: failed to read agent prompt %s: %v", agentPath, err) continue } prompt := string(content) if strings.TrimSpace(prompt) == "" { - log.Printf("kernel: warning: empty prompt file %s, skipping", promptPath) + log.Printf("kernel: warning: empty agent prompt file %s, skipping", agentPath) continue } agent := actor.NewSubAgent(agentName, llmBackend, actor.WithSubAgentRole(agentName), actor.WithSubAgentSystemPrompt(prompt), + actor.WithSubAgentStore(k.sessionStore), + actor.WithSubAgentParentSessionID("default"), ) k.subAgents[agentName] = agent k.orch.AddWorker(agent) - log.Printf("kernel: created sub-agent %q from %s", agentName, promptPath) + log.Printf("kernel: created sub-agent %q from %s", agentName, agentPath) } log.Printf("kernel: created %d sub-agents", len(k.subAgents)) @@ -330,6 +358,11 @@ func (k *Kernel) LLMAgent() *actor.LLMAgent { return k.llmAgent } +// MemoryManager 返回记忆管理器。 +func (k *Kernel) MemoryManager() *session.MemoryManager { + return k.memoryManager +} + // SetStreamWriter 设置用于流式 LLM 输出的写入器。 func (k *Kernel) SetStreamWriter(w io.Writer) { if k.llmAgent != nil { diff --git a/pkg/llm/deepseek.go b/pkg/llm/deepseek.go index dc39857..1cb53a3 100644 --- a/pkg/llm/deepseek.go +++ b/pkg/llm/deepseek.go @@ -160,6 +160,52 @@ func (c *DeepSeekClient) Stream(ctx context.Context, messages []Message, handler return nil } +func (c *DeepSeekClient) ChatWithTools(ctx context.Context, messages []Message, tools []ToolDef) (*Response, error) { + reqBody := deepSeekChatRequest{ + Model: c.model, + Messages: messages, + Stream: false, + Tools: tools, + } + body, err := json.Marshal(reqBody) + if err != nil { + return nil, fmt.Errorf("deepseek: failed to marshal request: %w", err) + } + + req, err := http.NewRequestWithContext(ctx, "POST", c.baseURL+"/chat/completions", bytes.NewReader(body)) + if err != nil { + return nil, fmt.Errorf("deepseek: failed to create request: %w", err) + } + req.Header.Set("Content-Type", "application/json") + req.Header.Set("Authorization", "Bearer "+c.apiKey) + + resp, err := c.httpClient.Do(req) + if err != nil { + return nil, fmt.Errorf("deepseek: request failed: %w", err) + } + defer resp.Body.Close() + + if resp.StatusCode != http.StatusOK { + bodyBytes, _ := io.ReadAll(resp.Body) + return nil, fmt.Errorf("deepseek: API returned %d: %s", resp.StatusCode, string(bodyBytes)) + } + + var apiResp deepSeekChatResponse + if err := json.NewDecoder(resp.Body).Decode(&apiResp); err != nil { + return nil, fmt.Errorf("deepseek: failed to decode response: %w", err) + } + + if len(apiResp.Choices) == 0 { + return nil, fmt.Errorf("deepseek: no choices in response") + } + + choice := apiResp.Choices[0] + return &Response{ + Content: choice.Message.Content, + ToolCalls: choice.Message.ToolCalls, + }, nil +} + func (c *DeepSeekClient) buildChatRequest(messages []Message, stream bool) deepSeekChatRequest { return deepSeekChatRequest{ Model: c.model, @@ -172,6 +218,7 @@ type deepSeekChatRequest struct { Model string `json:"model"` Messages []Message `json:"messages"` Stream bool `json:"stream"` + Tools []ToolDef `json:"tools,omitempty"` } type deepSeekChatResponse struct { diff --git a/pkg/llm/llm.go b/pkg/llm/llm.go index f49963d..65fb818 100644 --- a/pkg/llm/llm.go +++ b/pkg/llm/llm.go @@ -17,6 +17,10 @@ type LLM interface { // If the model decides to call tools, the response contains ToolCalls. Chat(ctx context.Context, messages []Message) (*Response, error) + // ChatWithTools sends messages with available tools and returns a response. + // The model may return ToolCalls that the caller should execute and feed back. + ChatWithTools(ctx context.Context, messages []Message, tools []ToolDef) (*Response, error) + // Stream sends messages and streams the response token-by-token. // The handler is called for each chunk. The final response is not // collected; use Chat for complete responses. diff --git a/pkg/llm/ollama.go b/pkg/llm/ollama.go index cf0aa41..5efa0c9 100644 --- a/pkg/llm/ollama.go +++ b/pkg/llm/ollama.go @@ -79,6 +79,10 @@ func NewOllamaClient(opts ...OllamaOption) *OllamaClient { // Chat sends a chat request to Ollama and returns the complete response. // If the Ollama model returns tool calls, they are parsed and included // in the Response. +func (c *OllamaClient) ChatWithTools(ctx context.Context, messages []Message, tools []ToolDef) (*Response, error) { + return c.Chat(ctx, messages) +} + func (c *OllamaClient) Chat(ctx context.Context, messages []Message) (*Response, error) { req := OllamaChatRequest{ Model: c.model, diff --git a/pkg/llm/types.go b/pkg/llm/types.go index 223b970..df0d64a 100644 --- a/pkg/llm/types.go +++ b/pkg/llm/types.go @@ -11,9 +11,10 @@ package llm // or "tool". For tool results, ToolCallID links the result back to the // tool call that produced it. type Message struct { - Role string `json:"role"` - Content string `json:"content"` - ToolCallID string `json:"tool_call_id,omitempty"` + Role string `json:"role"` + Content string `json:"content"` + ToolCallID string `json:"tool_call_id,omitempty"` + ToolCalls []ToolCall `json:"tool_calls,omitempty"` } // ToolCall represents a function calling request from the LLM. diff --git a/pkg/session/memory_manager.go b/pkg/session/memory_manager.go new file mode 100644 index 0000000..52cb010 --- /dev/null +++ b/pkg/session/memory_manager.go @@ -0,0 +1,870 @@ +package session + +import ( + "context" + "encoding/json" + "fmt" + "log" + "strings" + "sync" + "time" + + "github.com/orca/orca/pkg/embedding" + "github.com/orca/orca/pkg/llm" +) + +type MemoryManager struct { + store *SQLiteStore + vectorStore *VectorStore + embedClient *embedding.Client + llmBackend llm.LLM + tokenBudget TokenBudget + ownsStore bool + + embedQueue chan embedTask + embedWg sync.WaitGroup + embedCtx context.Context + embedCancel context.CancelFunc + + embedCache map[string]*embedCacheEntry + embedCacheMu sync.RWMutex + embedCacheMax int + embedCacheHit int64 + embedCacheMiss int64 +} + +type embedCacheEntry struct { + embedding []float32 + lastUsed time.Time +} + +type embedTask struct { + msgID int64 + content string +} + +type TokenBudget struct { + Total int + Working int + ShortTerm int + LongTerm int +} + +type MemoryConfig struct { + DBPath string + EmbedConfig embedding.Config + ModelWindow int +} + +func NewMemoryManager(cfg MemoryConfig) (*MemoryManager, error) { + store, err := NewSQLiteStore(cfg.DBPath) + if err != nil { + return nil, fmt.Errorf("failed to create store: %w", err) + } + + vectorStore, err := NewVectorStore(store.DB()) + if err != nil { + store.Close() + return nil, fmt.Errorf("failed to create vector store: %w", err) + } + + budget := calculateBudget(cfg.ModelWindow) + + ctx, cancel := context.WithCancel(context.Background()) + mm := &MemoryManager{ + store: store, + vectorStore: vectorStore, + tokenBudget: budget, + ownsStore: true, + embedQueue: make(chan embedTask, 100), + embedCtx: ctx, + embedCancel: cancel, + embedCache: make(map[string]*embedCacheEntry), + embedCacheMax: 500, + } + + if cfg.EmbedConfig.APIKey != "" { + mm.embedClient = embedding.NewClient(cfg.EmbedConfig) + mm.startEmbedWorker() + } + + return mm, nil +} + +func NewMemoryManagerWithStore(cfg MemoryConfig, store *SQLiteStore) (*MemoryManager, error) { + vectorStore, err := NewVectorStore(store.DB()) + if err != nil { + return nil, fmt.Errorf("failed to create vector store: %w", err) + } + + budget := calculateBudget(cfg.ModelWindow) + + ctx, cancel := context.WithCancel(context.Background()) + mm := &MemoryManager{ + store: store, + vectorStore: vectorStore, + tokenBudget: budget, + ownsStore: false, + embedQueue: make(chan embedTask, 100), + embedCtx: ctx, + embedCancel: cancel, + embedCache: make(map[string]*embedCacheEntry), + embedCacheMax: 500, + } + + if cfg.EmbedConfig.APIKey != "" { + mm.embedClient = embedding.NewClient(cfg.EmbedConfig) + mm.startEmbedWorker() + } + + return mm, nil +} + +func calculateBudget(modelWindow int) TokenBudget { + if modelWindow <= 0 { + modelWindow = 8192 + } + total := int(float64(modelWindow) * 0.6) + return TokenBudget{ + Total: total, + Working: int(float64(total) * 0.5), + ShortTerm: int(float64(total) * 0.3), + LongTerm: int(float64(total) * 0.2), + } +} + +func (mm *MemoryManager) Close() error { + mm.embedCancel() + mm.embedWg.Wait() + if mm.ownsStore { + return mm.store.Close() + } + return nil +} + +func (mm *MemoryManager) SaveMessage(sessionID string, msg SessionMessage) error { + if err := mm.store.Save(sessionID, msg); err != nil { + return err + } + + if mm.embedClient != nil && len(msg.Content) > 10 && + (msg.Role == RoleUser || msg.Role == RoleAssistant) { + msgID, err := mm.getLastMessageID(sessionID) + if err == nil { + select { + case mm.embedQueue <- embedTask{msgID: msgID, content: msg.Content}: + default: + } + } + } + + return nil +} + +func (mm *MemoryManager) getLastMessageID(sessionID string) (int64, error) { + var id int64 + err := mm.store.DB().QueryRow( + "SELECT id FROM main_messages WHERE session_id = ? ORDER BY id DESC LIMIT 1", + sessionID, + ).Scan(&id) + return id, err +} + +func (mm *MemoryManager) startEmbedWorker() { + mm.embedWg.Add(1) + go func() { + defer mm.embedWg.Done() + batch := make([]embedTask, 0, 5) + timer := time.NewTimer(5 * time.Second) + defer timer.Stop() + + for { + select { + case task := <- mm.embedQueue: + batch = append(batch, task) + if len(batch) >= 5 { + mm.processBatch(batch) + batch = batch[:0] + timer.Reset(5 * time.Second) + } + case <- timer.C: + if len(batch) > 0 { + mm.processBatch(batch) + batch = batch[:0] + } + timer.Reset(5 * time.Second) + case <- mm.embedCtx.Done(): + if len(batch) > 0 { + mm.processBatch(batch) + } + return + } + } + }() +} + +func (mm *MemoryManager) processBatch(tasks []embedTask) { + texts := make([]string, len(tasks)) + for i, t := range tasks { + texts[i] = t.content + } + + embeddings, err := mm.embedClient.Embed(texts) + if err != nil { + log.Printf("[memory] Embedding batch failed: %v", err) + return + } + + for i, emb := range embeddings { + if err := mm.vectorStore.SaveEmbedding(tasks[i].msgID, emb); err != nil { + log.Printf("[memory] Save embedding failed: %v", err) + } + } +} + +func (mm *MemoryManager) GetWorkingMemory(sessionID string) ([]SessionMessage, error) { + rows, err := mm.store.DB().Query( + `SELECT role, content, timestamp, metadata FROM main_messages + WHERE session_id = ? + ORDER BY timestamp DESC`, + sessionID, + ) + if err != nil { + return nil, err + } + defer rows.Close() + + var messages []SessionMessage + totalTokens := 0 + for rows.Next() { + var msg SessionMessage + var timestampStr string + var metadataStr string + if err := rows.Scan(&msg.Role, &msg.Content, ×tampStr, &metadataStr); err != nil { + continue + } + msg.Timestamp, _ = time.Parse(time.RFC3339, timestampStr) + + tokens := estimateTokens(msg.Content) + if totalTokens+tokens > mm.tokenBudget.Working && len(messages) > 0 { + break + } + totalTokens += tokens + messages = append(messages, msg) + } + + reverseMessages(messages) + return messages, nil +} + +func (mm *MemoryManager) getEmbeddingWithCache(query string) ([]float32, error) { + if mm.embedClient == nil { + return nil, fmt.Errorf("no embed client") + } + + mm.embedCacheMu.RLock() + if entry, ok := mm.embedCache[query]; ok { + entry.lastUsed = time.Now() + mm.embedCacheHit++ + mm.embedCacheMu.RUnlock() + return entry.embedding, nil + } + mm.embedCacheMu.RUnlock() + + embedding, err := mm.embedClient.EmbedSingle(query) + if err != nil { + return nil, err + } + + mm.embedCacheMu.Lock() + mm.embedCache[query] = &embedCacheEntry{ + embedding: embedding, + lastUsed: time.Now(), + } + mm.embedCacheMiss++ + + if len(mm.embedCache) > mm.embedCacheMax { + mm.evictLRU() + } + mm.embedCacheMu.Unlock() + + return embedding, nil +} + +func (mm *MemoryManager) evictLRU() { + var oldestKey string + var oldestTime time.Time + first := true + for k, v := range mm.embedCache { + if first || v.lastUsed.Before(oldestTime) { + oldestKey = k + oldestTime = v.lastUsed + first = false + } + } + if oldestKey != "" { + delete(mm.embedCache, oldestKey) + } +} + +func (mm *MemoryManager) GetShortTermMemory(sessionID string, query string) ([]string, error) { + if query != "" && mm.embedClient != nil { + embedding, err := mm.getEmbeddingWithCache(query) + if err == nil { + msgIDs, err := mm.vectorStore.SearchSimilarInSession(sessionID, embedding, 3) + if err == nil && len(msgIDs) > 0 { + return mm.loadMemoryContents(msgIDs) + } + } + } + + rows, err := mm.store.DB().Query( + `SELECT content FROM short_term_memories + WHERE session_id = ? + ORDER BY updated_at DESC + LIMIT 3`, + sessionID, + ) + if err != nil { + return nil, err + } + defer rows.Close() + + var memories []string + for rows.Next() { + var content string + if err := rows.Scan(&content); err != nil { + continue + } + memories = append(memories, content) + } + return memories, rows.Err() +} + +func (mm *MemoryManager) GetLongTermMemory(query string) ([]struct { + ID int64 + Content string + Weight float64 +}, error) { + var results []struct { + ID int64 + Content string + Weight float64 + } + + if query != "" && mm.embedClient != nil { + embedding, err := mm.getEmbeddingWithCache(query) + if err == nil { + vecResults, err := mm.vectorStore.SearchLongTermSimilar(embedding, 5) + if err == nil && len(vecResults) > 0 { + for _, vr := range vecResults { + var content string + var weight float64 + err := mm.store.DB().QueryRow( + "SELECT content, weight FROM long_term_memories WHERE id = ? AND archived = 0", + vr.MemoryID, + ).Scan(&content, &weight) + if err == nil { + results = append(results, struct { + ID int64 + Content string + Weight float64 + }{ID: vr.MemoryID, Content: content, Weight: weight}) + } + } + } + } + } + + if len(results) == 0 { + rows, err := mm.store.DB().Query( + `SELECT id, content, weight FROM long_term_memories + WHERE archived = 0 + ORDER BY weight DESC, access_count DESC + LIMIT 2`, + ) + if err != nil { + return nil, err + } + defer rows.Close() + + for rows.Next() { + var r struct { + ID int64 + Content string + Weight float64 + } + if err := rows.Scan(&r.ID, &r.Content, &r.Weight); err != nil { + continue + } + results = append(results, r) + } + } + + now := time.Now() + for _, r := range results { + mm.store.DB().Exec( + "UPDATE long_term_memories SET access_count = access_count + 1, last_accessed = ? WHERE id = ?", + now, r.ID, + ) + } + + return results, nil +} + +func (mm *MemoryManager) loadMemoryContents(msgIDs []int64) ([]string, error) { + if len(msgIDs) == 0 { + return nil, nil + } + + placeholders := make([]string, len(msgIDs)) + args := make([]interface{}, len(msgIDs)) + for i, id := range msgIDs { + placeholders[i] = "?" + args[i] = id + } + + query := fmt.Sprintf( + "SELECT content FROM main_messages WHERE id IN (%s)", + strings.Join(placeholders, ","), + ) + rows, err := mm.store.DB().Query(query, args...) + if err != nil { + return nil, err + } + defer rows.Close() + + var contents []string + for rows.Next() { + var content string + if err := rows.Scan(&content); err != nil { + continue + } + contents = append(contents, content) + } + return contents, rows.Err() +} + +func (mm *MemoryManager) AddShortTermMemory(sessionID string, content string) error { + _, err := mm.store.DB().Exec( + `INSERT INTO short_term_memories (session_id, content, updated_at) + VALUES (?, ?, ?) + ON CONFLICT(session_id, content) DO UPDATE SET + source_count = source_count + 1, + updated_at = ?`, + sessionID, content, time.Now(), time.Now(), + ) + return err +} + +func (mm *MemoryManager) AddLongTermMemory(content string, memoryType string) error { + _, err := mm.store.DB().Exec( + `INSERT INTO long_term_memories (content, memory_type, confidence) + VALUES (?, ?, ?) + ON CONFLICT(content) DO UPDATE SET + access_count = access_count + 1, + confidence = MAX(confidence, ?)`, + content, memoryType, 0.8, 0.8, + ) + return err +} + +func (mm *MemoryManager) Cleanup() error { + _, err := mm.store.DB().Exec( + `DELETE FROM short_term_memories + WHERE id NOT IN ( + SELECT id FROM short_term_memories + ORDER BY updated_at DESC + LIMIT 10 + )`, + ) + return err +} + +func estimateTokens(text string) int { + return len([]rune(text)) / 2 +} + +func reverseMessages(msgs []SessionMessage) { + for i, j := 0, len(msgs)-1; i < j; i, j = i+1, j-1 { + msgs[i], msgs[j] = msgs[j], msgs[i] + } +} + +func toInterfaceSlice(strings []string) []interface{} { + result := make([]interface{}, len(strings)) + for i, s := range strings { + result[i] = s + } + return result +} + +type MemoryContextStats struct { + ShortTermCount int + LongTermCount int + TotalTokens int +} + +func (mm *MemoryManager) BuildMemoryContextWithStats(sessionID string, query string) (string, MemoryContextStats) { + var parts []string + stats := MemoryContextStats{} + + shortTerm, err := mm.GetShortTermMemory(sessionID, query) + if err == nil && len(shortTerm) > 0 { + parts = append(parts, "## 相关上下文\n"+strings.Join(shortTerm, "\n")) + stats.ShortTermCount = len(shortTerm) + for _, m := range shortTerm { + stats.TotalTokens += estimateTokens(m) + } + } + + longTerm, err := mm.GetLongTermMemory(query) + if err == nil && len(longTerm) > 0 { + var contents []string + for _, m := range longTerm { + contents = append(contents, m.Content) + mm.RecordMemoryUsage(m.ID, sessionID, query, true) + } + parts = append(parts, "## 背景知识\n"+strings.Join(contents, "\n")) + stats.LongTermCount = len(longTerm) + for _, m := range longTerm { + stats.TotalTokens += estimateTokens(m.Content) + } + } + + if len(parts) == 0 { + return "", stats + } + + return "## 记忆信息\n" + strings.Join(parts, "\n\n"), stats +} + +func (mm *MemoryManager) BuildMemoryContext(sessionID string, query string) string { + ctx, _ := mm.BuildMemoryContextWithStats(sessionID, query) + return ctx +} + +func (mm *MemoryManager) ShouldInjectMemory(sessionID string, query string) bool { + if sessionID == "" { + return false + } + + msgCount, err := mm.getSessionMessageCount(sessionID) + if err != nil || msgCount == 0 { + return false + } + + if len(query) < 10 { + return false + } + + return true +} + +func (mm *MemoryManager) getSessionMessageCount(sessionID string) (int, error) { + var count int + err := mm.store.DB().QueryRow( + "SELECT COUNT(*) FROM main_messages WHERE session_id = ?", + sessionID, + ).Scan(&count) + return count, err +} + +func (mm *MemoryManager) MaintainSessionMemory(sessionID string, userQuery string, assistantResponse string) { + if len(assistantResponse) < 20 { + return + } + + summary := fmt.Sprintf("用户问：%s\n回答：%s", userQuery, truncateString(assistantResponse, 100)) + if err := mm.AddShortTermMemory(sessionID, summary); err != nil { + log.Printf("[memory] Failed to add short-term memory: %v", err) + } + + mm.bufferDialogue(sessionID, userQuery, assistantResponse) + + if mm.shouldExtract(sessionID) { + mm.triggerExtraction(sessionID) + } +} + +func (mm *MemoryManager) shouldExtract(sessionID string) bool { + var count int + err := mm.store.DB().QueryRow( + "SELECT COUNT(*) FROM dialogue_buffer WHERE session_id = ?", + sessionID, + ).Scan(&count) + if err != nil { + return false + } + return count >= 5 +} + +func (mm *MemoryManager) SetLLM(backend llm.LLM) { + mm.llmBackend = backend +} + +func (mm *MemoryManager) triggerExtraction(sessionID string) { + dialogues, err := mm.FlushDialogueBuffer(sessionID) + if err != nil || len(dialogues) == 0 { + return + } + + if mm.llmBackend == nil { + log.Printf("[memory] No LLM backend configured, skipping extraction for session=%s", sessionID) + return + } + + go func() { + facts, err := mm.extractFacts(dialogues) + if err != nil { + log.Printf("[memory] Extraction failed: %v", err) + return + } + + for _, fact := range facts { + if fact.Confidence < 0.6 { + continue + } + if err := mm.AddLongTermMemory(fact.Content, fact.Type); err != nil { + log.Printf("[memory] Failed to save long-term memory: %v", err) + } + } + }() +} + +func (mm *MemoryManager) bufferDialogue(sessionID string, userQuery string, assistantResponse string) { + _, err := mm.store.DB().Exec( + "INSERT INTO dialogue_buffer (session_id, user_query, assistant_response) VALUES (?, ?, ?)", + sessionID, userQuery, assistantResponse, + ) + if err != nil { + log.Printf("[memory] Failed to buffer dialogue: %v", err) + } +} + +func (mm *MemoryManager) FlushDialogueBuffer(sessionID string) ([]struct { + UserQuery string + AssistantResponse string +}, error) { + rows, err := mm.store.DB().Query( + "SELECT user_query, assistant_response FROM dialogue_buffer WHERE session_id = ? ORDER BY created_at ASC", + sessionID, + ) + if err != nil { + return nil, err + } + defer rows.Close() + + var dialogues []struct { + UserQuery string + AssistantResponse string + } + for rows.Next() { + var d struct { + UserQuery string + AssistantResponse string + } + if err := rows.Scan(&d.UserQuery, &d.AssistantResponse); err != nil { + continue + } + dialogues = append(dialogues, d) + } + + if len(dialogues) > 0 { + _, err = mm.store.DB().Exec("DELETE FROM dialogue_buffer WHERE session_id = ?", sessionID) + if err != nil { + log.Printf("[memory] Failed to clear dialogue buffer: %v", err) + } + } + + return dialogues, rows.Err() +} + +func truncateString(s string, maxLen int) string { + if len(s) <= maxLen { + return s + } + return s[:maxLen] + "..." +} + +func (mm *MemoryManager) RecordMemoryUsage(memoryID int64, sessionID, query string, referenced bool) error { + _, err := mm.store.DB().Exec( + "INSERT INTO memory_usage_log (memory_id, session_id, query, was_referenced) VALUES (?, ?, ?, ?)", + memoryID, sessionID, query, referenced, + ) + if err != nil { + return err + } + + delta := 0.5 + if !referenced { + delta = -0.3 + } + + _, err = mm.store.DB().Exec( + "UPDATE long_term_memories SET weight = weight + ?, access_count = access_count + 1, last_accessed = ? WHERE id = ?", + delta, time.Now(), memoryID, + ) + return err +} + +func (mm *MemoryManager) ArchiveLowWeightMemories(threshold float64) (int, error) { + result, err := mm.store.DB().Exec( + "UPDATE long_term_memories SET archived = 1 WHERE weight < ? AND archived = 0", + threshold, + ) + if err != nil { + return 0, err + } + count, _ := result.RowsAffected() + return int(count), nil +} + +func (mm *MemoryManager) GetCoreMemories(minWeight float64) ([]struct { + ID int64 + Content string + Weight float64 +}, error) { + rows, err := mm.store.DB().Query( + "SELECT id, content, weight FROM long_term_memories WHERE weight >= ? AND archived = 0 ORDER BY weight DESC", + minWeight, + ) + if err != nil { + return nil, err + } + defer rows.Close() + + var memories []struct { + ID int64 + Content string + Weight float64 + } + for rows.Next() { + var m struct { + ID int64 + Content string + Weight float64 + } + if err := rows.Scan(&m.ID, &m.Content, &m.Weight); err != nil { + continue + } + memories = append(memories, m) + } + return memories, rows.Err() +} + +func (mm *MemoryManager) CacheStats() (size int, hits, misses int64) { + mm.embedCacheMu.RLock() + defer mm.embedCacheMu.RUnlock() + return len(mm.embedCache), mm.embedCacheHit, mm.embedCacheMiss +} + +const memoryExtractionPrompt = `# Memory Extractor + +你是一个专门从对话中提取用户信息的助手。将非结构化的对话转化为结构化的长期记忆。 + +## 任务 + +分析给定的对话记录，提取以下类型的信息： + +1. **事实 (fact)**：客观信息 + - 工作：公司、职位、技术栈、行业 + - 技术：擅长语言、框架偏好、架构经验 + - 个人：教育背景、所在城市（仅用户明确提及） + +2. **偏好 (preference)**：主观倾向 + - 回答风格：简洁/详细/代码示例/架构图 + - 技术偏好：语言、数据库、部署方式 + - 沟通偏好：正式/ casual + +3. **项目 (project)**：当前工作 + - 项目名称、技术方案、当前阶段、遇到的挑战 + +## 输出格式 + +只输出 JSON，不要任何解释： + +` + "```json" + ` +{ + "facts": [ + { + "content": "用户在电商公司担任后端工程师", + "type": "fact", + "confidence": 0.95 + }, + { + "content": "用户偏好简洁的技术回答", + "type": "preference", + "confidence": 0.85 + } + ] +} +` + "```" + ` + +## 规则 + +- confidence < 0.6 的事实不输出 +- 不猜测、不推断，只提取用户明确表达的信息` + +type extractedFact struct { + Content string `json:"content"` + Type string `json:"type"` + Confidence float64 `json:"confidence"` +} + +type extractionResult struct { + Facts []extractedFact `json:"facts"` +} + +func (mm *MemoryManager) extractFacts(dialogues []struct { + UserQuery string + AssistantResponse string +}) ([]extractedFact, error) { + var sb strings.Builder + sb.WriteString(memoryExtractionPrompt) + sb.WriteString("\n\n## 对话记录\n\n") + for i, d := range dialogues { + sb.WriteString(fmt.Sprintf("--- 对话 %d ---\n", i+1)) + sb.WriteString(fmt.Sprintf("用户：%s\n", d.UserQuery)) + sb.WriteString(fmt.Sprintf("助手：%s\n\n", d.AssistantResponse)) + } + + messages := []llm.Message{ + {Role: "system", Content: "你是一个专门从对话中提取用户信息的助手。"}, + {Role: "user", Content: sb.String()}, + } + + resp, err := mm.llmBackend.Chat(context.Background(), messages) + if err != nil { + return nil, fmt.Errorf("llm chat failed: %w", err) + } + + return parseExtractionJSON(resp.Content) +} + +func parseExtractionJSON(content string) ([]extractedFact, error) { + content = extractJSONBlock(content) + + var result extractionResult + if err := json.Unmarshal([]byte(content), &result); err != nil { + return nil, fmt.Errorf("parse extraction json failed: %w", err) + } + + return result.Facts, nil +} + +func extractJSONBlock(content string) string { + if idx := strings.Index(content, "```json"); idx != -1 { + start := idx + 7 + if end := strings.Index(content[start:], "```"); end != -1 { + return strings.TrimSpace(content[start : start+end]) + } + } + if idx := strings.Index(content, "```"); idx != -1 { + start := idx + 3 + if end := strings.Index(content[start:], "```"); end != -1 { + return strings.TrimSpace(content[start : start+end]) + } + } + return strings.TrimSpace(content) +} diff --git a/pkg/session/memory_test.go b/pkg/session/memory_test.go new file mode 100644 index 0000000..6f2c97e --- /dev/null +++ b/pkg/session/memory_test.go @@ -0,0 +1,577 @@ +package session + +import ( + "fmt" + "os" + "path/filepath" + "testing" + "time" + + "github.com/orca/orca/pkg/embedding" +) + +func setupMemoryManager(t *testing.T) (*MemoryManager, func()) { + t.Helper() + dir, err := os.MkdirTemp("", "orca-memory-test-*") + if err != nil { + t.Fatalf("failed to create temp dir: %v", err) + } + + cfg := MemoryConfig{ + DBPath: filepath.Join(dir, "memory.db"), + ModelWindow: 8192, + EmbedConfig: embedding.Config{ + APIKey: os.Getenv("SILICONFLOW_API_KEY"), + BaseURL: "https://api.siliconflow.cn/v1", + Model: "Pro/BAAI/bge-m3", + Timeout: 5000, + }, + } + + mm, err := NewMemoryManager(cfg) + if err != nil { + os.RemoveAll(dir) + t.Fatalf("NewMemoryManager failed: %v", err) + } + + cleanup := func() { + mm.Close() + os.RemoveAll(dir) + } + return mm, cleanup +} + + +func TestSQLiteStore_SaveAndLoad(t *testing.T) { + mm, cleanup := setupMemoryManager(t) + defer cleanup() + + sessionID := "test-session-1" + msg := SessionMessage{ + Role: RoleUser, + Content: "你好，请介绍一下自己", + Timestamp: time.Now(), + } + + err := mm.SaveMessage(sessionID, msg) + if err != nil { + t.Fatalf("SaveMessage failed: %v", err) + } + + messages, err := mm.GetWorkingMemory(sessionID) + if err != nil { + t.Fatalf("GetWorkingMemory failed: %v", err) + } + if len(messages) != 1 { + t.Fatalf("expected 1 message, got %d", len(messages)) + } + if messages[0].Content != msg.Content { + t.Errorf("expected content %q, got %q", msg.Content, messages[0].Content) + } +} + +func TestSQLiteStore_MultipleMessages(t *testing.T) { + mm, cleanup := setupMemoryManager(t) + defer cleanup() + + sessionID := "test-session-multi" + baseTime := time.Now() + messages := []SessionMessage{ + {Role: RoleUser, Content: "什么是机器学习？", Timestamp: baseTime}, + {Role: RoleAssistant, Content: "机器学习是人工智能的一个分支...", Timestamp: baseTime.Add(time.Second)}, + {Role: RoleUser, Content: "能举个例子吗？", Timestamp: baseTime.Add(2 * time.Second)}, + {Role: RoleAssistant, Content: "比如垃圾邮件过滤器...", Timestamp: baseTime.Add(3 * time.Second)}, + } + + for _, msg := range messages { + if err := mm.SaveMessage(sessionID, msg); err != nil { + t.Fatalf("SaveMessage failed: %v", err) + } + } + + loaded, err := mm.GetWorkingMemory(sessionID) + if err != nil { + t.Fatalf("GetWorkingMemory failed: %v", err) + } + if len(loaded) != len(messages) { + t.Fatalf("expected %d messages, got %d", len(messages), len(loaded)) + } + + for i, msg := range loaded { + if msg.Content != messages[i].Content { + t.Errorf("message %d: expected %q, got %q", i, messages[i].Content, msg.Content) + } + } +} + + +func TestCalculateBudget(t *testing.T) { + tests := []struct { + modelWindow int + wantTotal int + wantWorking int + }{ + } + + for _, tt := range tests { + budget := calculateBudget(tt.modelWindow) + if budget.Total != tt.wantTotal { + t.Errorf("modelWindow=%d: expected total %d, got %d", + tt.modelWindow, tt.wantTotal, budget.Total) + } + if budget.Working != tt.wantWorking { + t.Errorf("modelWindow=%d: expected working %d, got %d", + tt.modelWindow, tt.wantWorking, budget.Working) + } + if budget.ShortTerm != int(float64(budget.Total)*0.3) { + t.Errorf("ShortTerm budget incorrect: %d", budget.ShortTerm) + } + if budget.LongTerm != int(float64(budget.Total)*0.2) { + t.Errorf("LongTerm budget incorrect: %d", budget.LongTerm) + } + } +} + +func TestGetWorkingMemory_TokenBudget(t *testing.T) { + mm, cleanup := setupMemoryManager(t) + defer cleanup() + + sessionID := "test-budget" + + longContent := "这是一个很长的消息。" + + "重复多次以消耗token预算。" + + "重复多次以消耗token预算。" + + "重复多次以消耗token预算。" + + "重复多次以消耗token预算。" + + "重复多次以消耗token预算。" + + "重复多次以消耗token预算。" + + "重复多次以消耗token预算。" + + "重复多次以消耗token预算。" + + "重复多次以消耗token预算。" + + messages := []SessionMessage{ + {Role: RoleUser, Content: "第一条消息", Timestamp: time.Now()}, + {Role: RoleAssistant, Content: longContent, Timestamp: time.Now()}, + {Role: RoleUser, Content: "第三条消息", Timestamp: time.Now()}, + } + + for _, msg := range messages { + if err := mm.SaveMessage(sessionID, msg); err != nil { + t.Fatalf("SaveMessage failed: %v", err) + } + } + + // Get working memory with budget + loaded, err := mm.GetWorkingMemory(sessionID) + if err != nil { + t.Fatalf("GetWorkingMemory failed: %v", err) + } + + // Should return messages within budget + // The long message should cause earlier messages to be excluded + t.Logf("Loaded %d messages within budget", len(loaded)) + for i, msg := range loaded { + t.Logf("Message %d: role=%s, len=%d", i, msg.Role, len(msg.Content)) + } +} + + +func TestVectorStore_SaveAndSearch(t *testing.T) { + apiKey := os.Getenv("SILICONFLOW_API_KEY") + if apiKey == "" { + t.Skip("Skipping vector test: SILICONFLOW_API_KEY not set") + } + + mm, cleanup := setupMemoryManager(t) + defer cleanup() + + sessionID := "test-vectors" + + messages := []SessionMessage{ + {Role: RoleUser, Content: "Python 是什么编程语言？", Timestamp: time.Now()}, + {Role: RoleAssistant, Content: "Python 是一种高级编程语言，以其简洁的语法而闻名", Timestamp: time.Now()}, + {Role: RoleUser, Content: "Go 语言的特点是什么？", Timestamp: time.Now()}, + {Role: RoleAssistant, Content: "Go 语言由 Google 开发，强调并发和性能", Timestamp: time.Now()}, + {Role: RoleUser, Content: "今天天气怎么样？", Timestamp: time.Now()}, + } + + for _, msg := range messages { + if err := mm.SaveMessage(sessionID, msg); err != nil { + t.Fatalf("SaveMessage failed: %v", err) + } + } + + time.Sleep(2 * time.Second) + + results, err := mm.GetShortTermMemory(sessionID, "编程语言") + if err != nil { + t.Fatalf("GetShortTermMemory with vector search failed: %v", err) + } + + t.Logf("Vector search returned %d results", len(results)) + for i, r := range results { + t.Logf("Result %d: %s", i, r) + } +} + +func TestVectorStore_CrossSessionSearch(t *testing.T) { + apiKey := os.Getenv("SILICONFLOW_API_KEY") + if apiKey == "" { + t.Skip("Skipping vector test: SILICONFLOW_API_KEY not set") + } + + mm, cleanup := setupMemoryManager(t) + defer cleanup() + + session1 := "session-ai" + for _, msg := range []SessionMessage{ + {Role: RoleUser, Content: "什么是深度学习？", Timestamp: time.Now()}, + {Role: RoleAssistant, Content: "深度学习是机器学习的一个子集，使用神经网络", Timestamp: time.Now()}, + } { + if err := mm.SaveMessage(session1, msg); err != nil { + t.Fatalf("SaveMessage failed: %v", err) + } + } + + session2 := "session-cooking" + for _, msg := range []SessionMessage{ + {Role: RoleUser, Content: "如何做红烧肉？", Timestamp: time.Now()}, + {Role: RoleAssistant, Content: "红烧肉需要五花肉、酱油、糖等材料", Timestamp: time.Now()}, + } { + if err := mm.SaveMessage(session2, msg); err != nil { + t.Fatalf("SaveMessage failed: %v", err) + } + } + + time.Sleep(2 * time.Second) + + results, err := mm.GetLongTermMemory("神经网络") + if err != nil { + t.Fatalf("GetLongTermMemory failed: %v", err) + } + + t.Logf("Cross-session search returned %d results", len(results)) + for i, r := range results { + t.Logf("Result %d: %s (weight=%.2f)", i, r.Content, r.Weight) + } +} + + +func TestMaintainSessionMemory(t *testing.T) { + mm, cleanup := setupMemoryManager(t) + defer cleanup() + + sessionID := "test-maintenance" + userQuery := "什么是REST API？" + assistantResponse := "REST API（Representational State Transfer）是一种软件架构风格，用于设计网络应用程序。它使用HTTP方法（GET、POST、PUT、DELETE）来操作资源。" + + mm.MaintainSessionMemory(sessionID, userQuery, assistantResponse) + + memories, err := mm.GetShortTermMemory(sessionID, "") + if err != nil { + t.Fatalf("GetShortTermMemory failed: %v", err) + } + if len(memories) == 0 { + t.Fatal("Expected short-term memory to be created") + } + + t.Logf("Created %d short-term memories", len(memories)) + for i, m := range memories { + t.Logf("Memory %d: %s", i, m) + } +} + +func TestAddLongTermMemory(t *testing.T) { + mm, cleanup := setupMemoryManager(t) + defer cleanup() + + memories := []struct { + content string + mType string + }{ + {"用户喜欢使用Python进行数据分析", "preference"}, + {"项目使用Go语言开发", "project"}, + {"用户偏好简洁的代码风格", "preference"}, + } + + for _, m := range memories { + if err := mm.AddLongTermMemory(m.content, m.mType); err != nil { + t.Fatalf("AddLongTermMemory failed: %v", err) + } + } + + results, err := mm.GetLongTermMemory("") + if err != nil { + t.Fatalf("GetLongTermMemory failed: %v", err) + } + if len(results) == 0 { + t.Fatal("Expected long-term memories to be retrieved") + } + + t.Logf("Retrieved %d long-term memories", len(results)) + for i, r := range results { + t.Logf("Memory %d: %s (weight=%.2f)", i, r.Content, r.Weight) + } +} + +func TestBuildMemoryContext(t *testing.T) { + mm, cleanup := setupMemoryManager(t) + defer cleanup() + + sessionID := "test-context" + + mm.AddShortTermMemory(sessionID, "用户正在学习Go语言") + mm.AddShortTermMemory(sessionID, "用户之前问过关于goroutine的问题") + + mm.AddLongTermMemory("用户是后端开发工程师", "fact") + mm.AddLongTermMemory("用户偏好技术文档", "preference") + + context := mm.BuildMemoryContext(sessionID, "并发编程") + if context == "" { + t.Fatal("Expected memory context to be built") + } + + t.Logf("Memory context:\n%s", context) +} + + +func TestMemoryManager_WithoutAPIKey(t *testing.T) { + dir, err := os.MkdirTemp("", "orca-memory-test-nokey-*") + if err != nil { + t.Fatalf("failed to create temp dir: %v", err) + } + defer os.RemoveAll(dir) + + cfg := MemoryConfig{ + DBPath: filepath.Join(dir, "memory.db"), + ModelWindow: 8192, + EmbedConfig: embedding.Config{ + }, + } + + mm, err := NewMemoryManager(cfg) + if err != nil { + t.Fatalf("NewMemoryManager should work without API key: %v", err) + } + defer mm.Close() + + sessionID := "test-nokey" + msg := SessionMessage{ + Role: RoleUser, + Content: "测试无API Key模式", + Timestamp: time.Now(), + } + + if err := mm.SaveMessage(sessionID, msg); err != nil { + t.Fatalf("SaveMessage should work without API key: %v", err) + } + + messages, err := mm.GetWorkingMemory(sessionID) + if err != nil { + t.Fatalf("GetWorkingMemory should work without API key: %v", err) + } + if len(messages) != 1 { + t.Fatalf("expected 1 message, got %d", len(messages)) + } + + memories, err := mm.GetShortTermMemory(sessionID, "") + if err != nil { + t.Fatalf("GetShortTermMemory should fallback to SQL: %v", err) + } + t.Logf("Short-term memories (no API key): %d", len(memories)) +} + + +func TestCleanup(t *testing.T) { + mm, cleanup := setupMemoryManager(t) + defer cleanup() + + sessionID := "test-cleanup" + + for i := 0; i < 15; i++ { + content := fmt.Sprintf("Short-term memory %d", i) + if err := mm.AddShortTermMemory(sessionID, content); err != nil { + t.Fatalf("AddShortTermMemory failed: %v", err) + } + } + + if err := mm.Cleanup(); err != nil { + t.Fatalf("Cleanup failed: %v", err) + } + + memories, err := mm.GetShortTermMemory(sessionID, "") + if err != nil { + t.Fatalf("GetShortTermMemory failed: %v", err) + } + if len(memories) > 10 { + t.Errorf("Expected at most 10 memories after cleanup, got %d", len(memories)) + } +} + + +func TestEstimateTokens(t *testing.T) { + tests := []struct { + input string + expected int + }{ + {"", 0}, + } + + for _, tt := range tests { + got := estimateTokens(tt.input) + if got != tt.expected { + t.Errorf("estimateTokens(%q) = %d, want %d", tt.input, got, tt.expected) + } + } +} + +func TestReverseMessages(t *testing.T) { + msgs := []SessionMessage{ + {Content: "first"}, + {Content: "second"}, + {Content: "third"}, + } + + reverseMessages(msgs) + + expected := []string{"third", "second", "first"} + for i, msg := range msgs { + if msg.Content != expected[i] { + t.Errorf("reverseMessages: position %d expected %q, got %q", + i, expected[i], msg.Content) + } + } +} + +func TestTruncateString(t *testing.T) { + tests := []struct { + input string + maxLen int + expected string + }{ + {"hello", 10, "hello"}, + {"hello world", 5, "hello..."}, + {"", 5, ""}, + {"short", 5, "short"}, + } + + for _, tt := range tests { + got := truncateString(tt.input, tt.maxLen) + if got != tt.expected { + t.Errorf("truncateString(%q, %d) = %q, want %q", + tt.input, tt.maxLen, got, tt.expected) + } + } +} + + +func TestFullConversationFlow(t *testing.T) { + mm, cleanup := setupMemoryManager(t) + defer cleanup() + + sessionID := "test-conversation" + + conversation := []struct { + role MessageRole + content string + }{ + {RoleUser, "你好，我想学习Go语言"}, + {RoleAssistant, "Go语言是一种由Google开发的开源编程语言，以其简洁、高效和强大的并发支持而闻名。它特别适合构建网络服务和分布式系统。"}, + {RoleUser, "Go语言的并发是怎么实现的？"}, + {RoleAssistant, "Go语言使用goroutine和channel实现并发。Goroutine是轻量级线程，由Go运行时管理。Channel用于goroutine之间的通信和同步。"}, + {RoleUser, "能推荐一些学习资源吗？"}, + {RoleAssistant, "推荐以下学习资源：1. Go官方文档 2. 《Go程序设计语言》 3. Go by Example 网站"}, + } + + for _, msg := range conversation { + sessionMsg := SessionMessage{ + Role: msg.role, + Content: msg.content, + Timestamp: time.Now(), + } + if err := mm.SaveMessage(sessionID, sessionMsg); err != nil { + t.Fatalf("SaveMessage failed: %v", err) + } + } + + workingMem, err := mm.GetWorkingMemory(sessionID) + if err != nil { + t.Fatalf("GetWorkingMemory failed: %v", err) + } + t.Logf("Working memory: %d messages", len(workingMem)) + + for i := 1; i < len(conversation); i += 2 { + mm.MaintainSessionMemory(sessionID, conversation[i-1].content, conversation[i].content) + } + + shortTerm, err := mm.GetShortTermMemory(sessionID, "") + if err != nil { + t.Fatalf("GetShortTermMemory failed: %v", err) + } + t.Logf("Short-term memories: %d", len(shortTerm)) + for i, mem := range shortTerm { + t.Logf(" Memory %d: %s", i, mem) + } + + context := mm.BuildMemoryContext(sessionID, "学习资源") + if context != "" { + t.Logf("Memory context for '学习资源':\n%s", context) + } +} + + +func BenchmarkSaveMessage(b *testing.B) { + mm, cleanup := setupMemoryManager(&testing.T{}) + defer cleanup() + + sessionID := "bench-session" + msg := SessionMessage{ + Role: RoleUser, + Content: "这是一条测试消息", + Timestamp: time.Now(), + } + + b.ResetTimer() + for i := 0; i < b.N; i++ { + if err := mm.SaveMessage(sessionID, msg); err != nil { + b.Fatalf("SaveMessage failed: %v", err) + } + } +} + +func BenchmarkGetWorkingMemory(b *testing.B) { + mm, cleanup := setupMemoryManager(&testing.T{}) + defer cleanup() + + sessionID := "bench-session" + for i := 0; i < 100; i++ { + msg := SessionMessage{ + Role: RoleUser, + Content: fmt.Sprintf("Message %d", i), + Timestamp: time.Now(), + } + mm.SaveMessage(sessionID, msg) + } + + b.ResetTimer() + for i := 0; i < b.N; i++ { + if _, err := mm.GetWorkingMemory(sessionID); err != nil { + b.Fatalf("GetWorkingMemory failed: %v", err) + } + } +} + +func BenchmarkBuildMemoryContext(b *testing.B) { + mm, cleanup := setupMemoryManager(&testing.T{}) + defer cleanup() + + sessionID := "bench-context" + for i := 0; i < 10; i++ { + mm.AddShortTermMemory(sessionID, fmt.Sprintf("Memory %d", i)) + } + + b.ResetTimer() + for i := 0; i < b.N; i++ { + _ = mm.BuildMemoryContext(sessionID, "test query") + } +} diff --git a/pkg/session/sqlite_store.go b/pkg/session/sqlite_store.go new file mode 100644 index 0000000..ecb684b --- /dev/null +++ b/pkg/session/sqlite_store.go @@ -0,0 +1,368 @@ +package session + +import ( + "database/sql" + "fmt" + "os" + "path/filepath" + "sync" + "time" + + _ "modernc.org/sqlite" + _ "modernc.org/sqlite/vec" +) + +type SQLiteStore struct { + dbPath string + db *sql.DB + mu sync.RWMutex +} + +func NewSQLiteStore(dbPath string) (*SQLiteStore, error) { + dir := filepath.Dir(dbPath) + if err := os.MkdirAll(dir, 0755); err != nil { + return nil, fmt.Errorf("failed to create storage directory: %w", err) + } + + db, err := sql.Open("sqlite", dbPath+"?_journal_mode=WAL&_busy_timeout=5000") + if err != nil { + return nil, fmt.Errorf("failed to open SQLite database: %w", err) + } + + // 限制连接池为单连接，避免 SQLite 并发冲突 + // WAL 模式下支持并发读，但写操作仍需串行化 + db.SetMaxOpenConns(1) + db.SetMaxIdleConns(1) + db.SetConnMaxLifetime(0) + + store := &SQLiteStore{ + dbPath: dbPath, + db: db, + } + + if err := store.initSchema(); err != nil { + db.Close() + return nil, fmt.Errorf("failed to initialize schema: %w", err) + } + + return store, nil +} + +func (s *SQLiteStore) initSchema() error { + schema := ` +CREATE TABLE IF NOT EXISTS main_messages ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + session_id TEXT NOT NULL, + role TEXT NOT NULL CHECK(role IN ('user', 'assistant', 'system', 'tool')), + content TEXT NOT NULL, + msg_type TEXT DEFAULT 'normal' CHECK(msg_type IN ('normal', 'fact', 'todo', 'decision', 'preference', 'error')), + token_count INTEGER DEFAULT 0, + has_embedding BOOLEAN DEFAULT FALSE, + timestamp DATETIME DEFAULT CURRENT_TIMESTAMP, + metadata TEXT +); + +CREATE INDEX IF NOT EXISTS idx_main_session_time ON main_messages(session_id, timestamp DESC); +CREATE INDEX IF NOT EXISTS idx_main_role ON main_messages(role) WHERE role IN ('user', 'assistant'); + +CREATE TABLE IF NOT EXISTS sessions ( + id TEXT PRIMARY KEY, + status TEXT DEFAULT 'active' CHECK(status IN ('active', 'archived')), + created_at DATETIME DEFAULT CURRENT_TIMESTAMP, + updated_at DATETIME DEFAULT CURRENT_TIMESTAMP, + metadata TEXT +); + +CREATE INDEX IF NOT EXISTS idx_sessions_status ON sessions(status); + +CREATE TABLE IF NOT EXISTS short_term_memories ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + session_id TEXT NOT NULL, + content TEXT NOT NULL, + source_count INTEGER DEFAULT 1, + confidence REAL DEFAULT 0.8 CHECK(confidence BETWEEN 0 AND 1), + created_at DATETIME DEFAULT CURRENT_TIMESTAMP, + updated_at DATETIME, + UNIQUE(session_id, content) +); + +CREATE INDEX IF NOT EXISTS idx_stm_session ON short_term_memories(session_id, updated_at DESC); + +CREATE TABLE IF NOT EXISTS long_term_memories ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + content TEXT NOT NULL UNIQUE, + memory_type TEXT NOT NULL DEFAULT 'fact' CHECK(memory_type IN ('preference', 'fact', 'decision', 'project')), + source_session TEXT, + confidence REAL NOT NULL DEFAULT 0.8, + weight REAL NOT NULL DEFAULT 1.0, + tags TEXT, + access_count INTEGER NOT NULL DEFAULT 0, + last_accessed DATETIME, + created_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, + archived INTEGER NOT NULL DEFAULT 0 +); + +CREATE INDEX IF NOT EXISTS idx_ltm_type ON long_term_memories(memory_type, confidence DESC); +CREATE INDEX IF NOT EXISTS idx_ltm_weight ON long_term_memories(weight DESC); +CREATE INDEX IF NOT EXISTS idx_ltm_archived ON long_term_memories(archived); + +CREATE VIRTUAL TABLE IF NOT EXISTS vec_long_term_memories USING vec0( + memory_id INTEGER PRIMARY KEY, + embedding FLOAT[1024] +); + +CREATE TABLE IF NOT EXISTS memory_usage_log ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + memory_id INTEGER NOT NULL, + session_id TEXT NOT NULL, + query TEXT NOT NULL, + was_referenced INTEGER NOT NULL DEFAULT 0, + used_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP +); + +CREATE INDEX IF NOT EXISTS idx_usage_memory ON memory_usage_log(memory_id); +CREATE INDEX IF NOT EXISTS idx_usage_session ON memory_usage_log(session_id); + +CREATE TABLE IF NOT EXISTS dialogue_buffer ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + session_id TEXT NOT NULL, + user_query TEXT NOT NULL, + assistant_response TEXT NOT NULL, + created_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP +); + +CREATE INDEX IF NOT EXISTS idx_buffer_session ON dialogue_buffer(session_id, created_at DESC); + +CREATE TABLE IF NOT EXISTS subagent_messages ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + parent_session_id TEXT NOT NULL, + session_id TEXT NOT NULL, + agent_name TEXT NOT NULL, + role TEXT NOT NULL CHECK(role IN ('assistant', 'system', 'user')), + content TEXT NOT NULL, + timestamp DATETIME DEFAULT CURRENT_TIMESTAMP +); + +CREATE INDEX IF NOT EXISTS idx_subagent_parent ON subagent_messages(parent_session_id); +CREATE INDEX IF NOT EXISTS idx_subagent_session ON subagent_messages(session_id); +` + + _, err := s.db.Exec(schema) + return err +} + +func (s *SQLiteStore) Save(sessionID string, msg SessionMessage) error { + s.mu.Lock() + defer s.mu.Unlock() + + tx, err := s.db.Begin() + if err != nil { + return fmt.Errorf("failed to begin transaction: %w", err) + } + defer tx.Rollback() + + _, err = tx.Exec( + `INSERT INTO sessions (id, updated_at) VALUES (?, ?) + ON CONFLICT(id) DO UPDATE SET updated_at = ?`, + sessionID, msg.Timestamp, msg.Timestamp, + ) + if err != nil { + return fmt.Errorf("failed to upsert session: %w", err) + } + + metadataJSON := "{}" + if len(msg.Metadata) > 0 { + metadataJSON = fmt.Sprintf("%v", msg.Metadata) + } + + _, err = tx.Exec( + `INSERT INTO main_messages (session_id, role, content, timestamp, metadata) + VALUES (?, ?, ?, ?, ?)`, + sessionID, string(msg.Role), msg.Content, msg.Timestamp, metadataJSON, + ) + if err != nil { + return fmt.Errorf("failed to insert message: %w", err) + } + + return tx.Commit() +} + +func (s *SQLiteStore) Load(sessionID string) ([]SessionMessage, error) { + s.mu.RLock() + defer s.mu.RUnlock() + + var status string + err := s.db.QueryRow( + "SELECT status FROM sessions WHERE id = ?", + sessionID, + ).Scan(&status) + if err != nil { + if err == sql.ErrNoRows { + return nil, fmt.Errorf("session %q not found", sessionID) + } + return nil, fmt.Errorf("failed to query session: %w", err) + } + + rows, err := s.db.Query( + `SELECT role, content, timestamp, metadata FROM main_messages + WHERE session_id = ? + ORDER BY timestamp ASC, id ASC`, + sessionID, + ) + if err != nil { + return nil, fmt.Errorf("failed to query messages: %w", err) + } + defer rows.Close() + + var messages []SessionMessage + for rows.Next() { + var msg SessionMessage + var timestampStr string + var metadataStr string + + if err := rows.Scan(&msg.Role, &msg.Content, ×tampStr, &metadataStr); err != nil { + return nil, fmt.Errorf("failed to scan message: %w", err) + } + + msg.Timestamp, _ = time.Parse(time.RFC3339, timestampStr) + messages = append(messages, msg) + } + + return messages, rows.Err() +} + +func (s *SQLiteStore) List() ([]string, error) { + s.mu.RLock() + defer s.mu.RUnlock() + + rows, err := s.db.Query( + "SELECT id FROM sessions WHERE status = 'active' ORDER BY updated_at DESC", + ) + if err != nil { + return nil, fmt.Errorf("failed to query sessions: %w", err) + } + defer rows.Close() + + var sessions []string + for rows.Next() { + var id string + if err := rows.Scan(&id); err != nil { + return nil, fmt.Errorf("failed to scan session: %w", err) + } + sessions = append(sessions, id) + } + + return sessions, rows.Err() +} + +func (s *SQLiteStore) Exists(sessionID string) (bool, error) { + s.mu.RLock() + defer s.mu.RUnlock() + + var count int + err := s.db.QueryRow( + "SELECT COUNT(*) FROM sessions WHERE id = ?", + sessionID, + ).Scan(&count) + if err != nil { + return false, fmt.Errorf("failed to check session: %w", err) + } + + return count > 0, nil +} + +func (s *SQLiteStore) Archive(sessionID string) error { + s.mu.Lock() + defer s.mu.Unlock() + + result, err := s.db.Exec( + "UPDATE sessions SET status = 'archived' WHERE id = ?", + sessionID, + ) + if err != nil { + return fmt.Errorf("failed to archive session: %w", err) + } + + rowsAffected, _ := result.RowsAffected() + if rowsAffected == 0 { + return fmt.Errorf("session %q not found", sessionID) + } + + return nil +} + +func (s *SQLiteStore) Delete(sessionID string) error { + s.mu.Lock() + defer s.mu.Unlock() + + tx, err := s.db.Begin() + if err != nil { + return fmt.Errorf("failed to begin transaction: %w", err) + } + defer tx.Rollback() + + _, err = tx.Exec("DELETE FROM main_messages WHERE session_id = ?", sessionID) + if err != nil { + return fmt.Errorf("failed to delete messages: %w", err) + } + + _, err = tx.Exec("DELETE FROM sessions WHERE id = ?", sessionID) + if err != nil { + return fmt.Errorf("failed to delete session: %w", err) + } + + return tx.Commit() +} + +func (s *SQLiteStore) SaveSubAgentMessage(parentSessionID, sessionID, agentName string, msg SessionMessage) error { + s.mu.Lock() + defer s.mu.Unlock() + + _, err := s.db.Exec( + `INSERT INTO subagent_messages (parent_session_id, session_id, agent_name, role, content, timestamp) + VALUES (?, ?, ?, ?, ?, ?)`, + parentSessionID, sessionID, agentName, string(msg.Role), msg.Content, msg.Timestamp, + ) + if err != nil { + return fmt.Errorf("failed to save subagent message: %w", err) + } + return nil +} + +func (s *SQLiteStore) LoadSubAgentMessages(sessionID string) ([]SessionMessage, error) { + s.mu.RLock() + defer s.mu.RUnlock() + + rows, err := s.db.Query( + `SELECT role, content, timestamp FROM subagent_messages + WHERE session_id = ? + ORDER BY timestamp ASC, id ASC`, + sessionID, + ) + if err != nil { + return nil, fmt.Errorf("failed to query subagent messages: %w", err) + } + defer rows.Close() + + var messages []SessionMessage + for rows.Next() { + var msg SessionMessage + var timestampStr string + if err := rows.Scan(&msg.Role, &msg.Content, ×tampStr); err != nil { + return nil, fmt.Errorf("failed to scan subagent message: %w", err) + } + msg.Timestamp, _ = time.Parse(time.RFC3339, timestampStr) + messages = append(messages, msg) + } + return messages, rows.Err() +} + +func (s *SQLiteStore) Close() error { + return s.db.Close() +} + +func (s *SQLiteStore) DB() *sql.DB { + return s.db +} + + diff --git a/pkg/session/vector_store.go b/pkg/session/vector_store.go new file mode 100644 index 0000000..70b9420 --- /dev/null +++ b/pkg/session/vector_store.go @@ -0,0 +1,196 @@ +package session + +import ( + "database/sql" + "fmt" + "strings" +) + +type VectorStore struct { + db *sql.DB + enabled bool +} + +func NewVectorStore(db *sql.DB) (*VectorStore, error) { + vs := &VectorStore{db: db} + if err := vs.initSchema(); err != nil { + return &VectorStore{db: db, enabled: false}, nil + } + vs.enabled = true + return vs, nil +} + +func (vs *VectorStore) initSchema() error { + _, err := vs.db.Exec(` + CREATE VIRTUAL TABLE IF NOT EXISTS vec_main_messages USING vec0( + msg_id INTEGER PRIMARY KEY, + embedding FLOAT[1024] + ) + `) + return err +} + +func (vs *VectorStore) SaveEmbedding(msgID int64, embedding []float32) error { + if !vs.enabled { + return nil + } + + if len(embedding) != 1024 { + return fmt.Errorf("expected 1024 dimensions, got %d", len(embedding)) + } + + embeddingStr := formatEmbedding(embedding) + _, err := vs.db.Exec( + "INSERT INTO vec_main_messages (msg_id, embedding) VALUES (?, ?)", + msgID, embeddingStr, + ) + if err != nil { + return fmt.Errorf("failed to save embedding: %w", err) + } + + _, err = vs.db.Exec( + "UPDATE main_messages SET has_embedding = TRUE WHERE id = ?", + msgID, + ) + return err +} + +func (vs *VectorStore) SaveLongTermEmbedding(memoryID int64, embedding []float32) error { + if !vs.enabled { + return nil + } + + if len(embedding) != 1024 { + return fmt.Errorf("expected 1024 dimensions, got %d", len(embedding)) + } + + embeddingStr := formatEmbedding(embedding) + _, err := vs.db.Exec( + "INSERT INTO vec_long_term_memories (memory_id, embedding) VALUES (?, ?)", + memoryID, embeddingStr, + ) + if err != nil { + return fmt.Errorf("failed to save long-term embedding: %w", err) + } + return nil +} + +func (vs *VectorStore) SearchLongTermSimilar(embedding []float32, limit int) ([]struct { + MemoryID int64 + Distance float64 +}, error) { + if !vs.enabled { + return nil, nil + } + + if len(embedding) != 1024 { + return nil, fmt.Errorf("expected 1024 dimensions, got %d", len(embedding)) + } + + embeddingStr := formatEmbedding(embedding) + rows, err := vs.db.Query( + `SELECT memory_id, distance FROM vec_long_term_memories + WHERE embedding MATCH ? + ORDER BY distance + LIMIT ?`, + embeddingStr, limit, + ) + if err != nil { + return nil, fmt.Errorf("failed to search long-term vectors: %w", err) + } + defer rows.Close() + + var results []struct { + MemoryID int64 + Distance float64 + } + for rows.Next() { + var r struct { + MemoryID int64 + Distance float64 + } + if err := rows.Scan(&r.MemoryID, &r.Distance); err != nil { + return nil, err + } + results = append(results, r) + } + + return results, rows.Err() +} + +func (vs *VectorStore) SearchSimilar(embedding []float32, limit int) ([]int64, error) { + if !vs.enabled { + return []int64{}, nil + } + + if len(embedding) != 1024 { + return nil, fmt.Errorf("expected 1024 dimensions, got %d", len(embedding)) + } + + embeddingStr := formatEmbedding(embedding) + rows, err := vs.db.Query( + `SELECT msg_id FROM vec_main_messages + WHERE embedding MATCH ? + ORDER BY distance + LIMIT ?`, + embeddingStr, limit, + ) + if err != nil { + return nil, fmt.Errorf("failed to search vectors: %w", err) + } + defer rows.Close() + + var msgIDs []int64 + for rows.Next() { + var id int64 + if err := rows.Scan(&id); err != nil { + return nil, err + } + msgIDs = append(msgIDs, id) + } + + return msgIDs, rows.Err() +} + +func (vs *VectorStore) SearchSimilarInSession(sessionID string, embedding []float32, limit int) ([]int64, error) { + if !vs.enabled { + return []int64{}, nil + } + + if len(embedding) != 1024 { + return nil, fmt.Errorf("expected 1024 dimensions, got %d", len(embedding)) + } + + embeddingStr := formatEmbedding(embedding) + rows, err := vs.db.Query( + `SELECT v.msg_id FROM vec_main_messages v + JOIN main_messages m ON v.msg_id = m.id + WHERE m.session_id = ? AND v.embedding MATCH ? + ORDER BY distance + LIMIT ?`, + sessionID, embeddingStr, limit, + ) + if err != nil { + return nil, fmt.Errorf("failed to search session vectors: %w", err) + } + defer rows.Close() + + var msgIDs []int64 + for rows.Next() { + var id int64 + if err := rows.Scan(&id); err != nil { + return nil, err + } + msgIDs = append(msgIDs, id) + } + + return msgIDs, rows.Err() +} + +func formatEmbedding(embedding []float32) string { + parts := make([]string, len(embedding)) + for i, v := range embedding { + parts[i] = fmt.Sprintf("%f", v) + } + return "[" + strings.Join(parts, ",") + "]" +} diff --git a/pkg/tool/agent_call.go b/pkg/tool/agent_call.go index acac218..d84d6eb 100644 --- a/pkg/tool/agent_call.go +++ b/pkg/tool/agent_call.go @@ -3,22 +3,47 @@ package tool import ( "context" "fmt" + "io" "github.com/orca/orca/pkg/bus" ) +type AgentStreamWriter struct { + agentName string + eventBus bus.MessageBus +} + +func (w *AgentStreamWriter) Write(p []byte) (n int, err error) { + if w.eventBus != nil { + w.eventBus.Publish("agent_events", bus.Message{ + Type: bus.MsgTypeLog, + Content: map[string]interface{}{ + "event": "token", + "agent": w.agentName, + "text": string(p), + }, + }) + } + return len(p), nil +} + type Agent interface { Process(ctx context.Context, msg bus.Message) (bus.Message, error) } type agentCallTool struct { agentRegistry func(string) (Agent, bool) + eventBus bus.MessageBus } func NewAgentCallTool(registry func(string) (Agent, bool)) Tool { return &agentCallTool{agentRegistry: registry} } +func (t *agentCallTool) SetEventBus(mb bus.MessageBus) { + t.eventBus = mb +} + func (t *agentCallTool) Name() string { return "agent_call" } func (t *agentCallTool) Description() string { @@ -63,7 +88,39 @@ func (t *agentCallTool) Execute(ctx context.Context, args map[string]interface{} Content: task, } + if t.eventBus != nil { + t.eventBus.Publish("agent_events", bus.Message{ + Type: bus.MsgTypeToolCall, + From: "llm", + To: agentName, + Content: map[string]interface{}{"event": "start", "agent": agentName, "task": task}, + }) + } + + if setter, ok := agent.(interface{ SetStreamWriter(io.Writer) }); ok && t.eventBus != nil { + writer := &AgentStreamWriter{agentName: agentName, eventBus: t.eventBus} + setter.SetStreamWriter(writer) + } + resp, err := agent.Process(ctx, msg) + + if t.eventBus != nil { + status := "completed" + if err != nil { + status = "failed" + } + resultContent := "" + if resp.Content != nil { + resultContent = fmt.Sprintf("%v", resp.Content) + } + t.eventBus.Publish("agent_events", bus.Message{ + Type: bus.MsgTypeToolResult, + From: agentName, + To: "llm", + Content: map[string]interface{}{"event": "end", "agent": agentName, "status": status, "result": resultContent}, + }) + } + if err != nil { return ErrorResult(fmt.Sprintf("agent '%s' execution failed: %v", agentName, err)), nil } diff --git a/server.log b/server.log new file mode 100644 index 0000000..dfce2a4 --- /dev/null +++ b/server.log @@ -0,0 +1,11 @@ +2026/05/10 20:16:21 kernel: created DeepSeek client (model=deepseek-v4-flash) +2026/05/10 20:16:21 kernel: created sub-agent "architect" from /Users/wang/.orca/prompts/architect.md +2026/05/10 20:16:21 kernel: created sub-agent "calculator" from /Users/wang/.orca/prompts/calculator.md +2026/05/10 20:16:21 kernel: created sub-agent "coder" from /Users/wang/.orca/prompts/coder.md +2026/05/10 20:16:21 kernel: created sub-agent "reviewer" from /Users/wang/.orca/prompts/reviewer.md +2026/05/10 20:16:21 kernel: created 4 sub-agents +2026/05/10 20:16:21 kernel: started (tools=6) +2026/05/10 20:16:21 kernel: warning: skill loading had errors: skill: loaded 8 skills with 1 errors: art-design-pro: skill: "/Users/wang/.agents/skills/art-design-pro/SKILL.md" is missing 'name' in frontmatter +2026/05/10 20:16:21 kernel: loaded 8 skills +Starting web server on http://localhost:8081 +2026/05/10 20:16:21 WebSocket server starting on http://localhost:8081 diff --git a/test.md b/test.md deleted file mode 100644 index eeccff1..0000000 --- a/test.md +++ /dev/null @@ -1,17 +0,0 @@ -## 测试文件 - -这是一个Markdown格式的测试文件。 - -- 列表项1 -- 列表项2 -- 列表项3 - -```go -package main - -import "fmt" - -func main() { - fmt.Println("Hello, orca.ai!") -} -``` \ No newline at end of file diff --git a/test_clean b/test_clean new file mode 100755 index 0000000..a1f975f Binary files /dev/null and b/test_clean differ diff --git a/test_memory b/test_memory new file mode 100755 index 0000000..a1cc8cd Binary files /dev/null and b/test_memory differ diff --git a/test_memory_retrieval.go b/test_memory_retrieval.go new file mode 100644 index 0000000..21660c5 --- /dev/null +++ b/test_memory_retrieval.go @@ -0,0 +1,227 @@ +package main + +import ( + "context" + "database/sql" + "fmt" + "os" + "time" + + "github.com/orca/orca/pkg/bus" + "github.com/orca/orca/pkg/kernel" + "github.com/orca/orca/pkg/actor" + "github.com/orca/orca/pkg/session" + _ "modernc.org/sqlite" + _ "modernc.org/sqlite/vec" +) + +func main() { + fmt.Println("=== 记忆系统综合测试 ===") + fmt.Println("测试内容：记忆检索、命中率、token节省、日常使用") + + k := kernel.New() + if err := k.Start(); err != nil { + fmt.Printf("启动失败: %v\n", err) + os.Exit(1) + } + defer k.Stop() + + orch := k.Orchestrator() + mm := k.MemoryManager() + + // 阶段1: 建立用户画像（触发长期记忆提取） + fmt.Println("\n--- 阶段1: 建立用户画像 ---") + sendMessage(k, "你好，我叫李四，我在金融科技公司做架构师") + sendMessage(k, "我主要用Java和Kotlin，最近在研究微服务拆分") + sendMessage(k, "我喜欢详细的技术解释，带架构图最好") + sendMessage(k, "现在负责支付系统的重构，从单体迁移到微服务") + sendMessage(k, "团队有10个人，前端用React，后端用Spring Boot") + + // 等待长期记忆提取 + fmt.Println("\n等待长期记忆提取 (15秒)...") + time.Sleep(15 * time.Second) + + // 阶段2: 子Agent调用（测试隔离） + fmt.Println("\n--- 阶段2: 子Agent调用测试 ---") + callSubAgent(orch, "coder", "写一个JWT认证的工具类，Java实现") + callSubAgent(orch, "reviewer", "审查代码：public class Auth { public String token; }") + + // 阶段3: 查询记忆（测试检索命中率） + fmt.Println("\n--- 阶段3: 记忆检索测试 ---") + fmt.Println("\n查询1: 询问技术偏好（应命中长期记忆）") + sendMessage(k, "你觉得Java和Go哪个更适合做支付系统？") + + fmt.Println("\n查询2: 询问团队信息（应命中长期记忆）") + sendMessage(k, "我们团队前端用什么框架比较好？") + + fmt.Println("\n查询3: 询问个人背景（应命中长期记忆）") + sendMessage(k, "你能根据我的背景给些微服务拆分的建议吗？") + + fmt.Println("\n查询4: 无关查询（测试未命中情况）") + sendMessage(k, "今天天气怎么样？") + + // 阶段4: 等待并检查统计 + fmt.Println("\n--- 阶段4: 等待并收集统计 (5秒) ---") + time.Sleep(5 * time.Second) + + // 阶段5: 详细统计 + fmt.Println("\n--- 阶段5: 详细统计 ---") + printDetailedStats(mm) + checkDatabase() +} + +func sendMessage(k *kernel.Kernel, content string) string { + resp, err := k.SendMessage("user", "llm", content) + if err != nil { + fmt.Printf(" 发送失败: %v\n", err) + return "" + } + fmt.Printf(" 回复: %s\n", truncate(resp, 150)) + return resp +} + +func callSubAgent(orch *actor.Orchestrator, agentName, task string) { + msg := bus.Message{ + Type: bus.MsgTypeTaskRequest, + From: "user", + To: agentName, + Content: task, + } + resp, err := orch.Process(context.Background(), msg) + if err != nil { + fmt.Printf(" %s 调用失败: %v\n", agentName, err) + } else { + fmt.Printf(" %s 回复: %s\n", agentName, truncate(fmt.Sprintf("%v", resp.Content), 150)) + } +} + +func printDetailedStats(mm *session.MemoryManager) { + if mm == nil { + fmt.Println("MemoryManager 未初始化") + return + } + + // Embedding缓存统计 + cacheSize, cacheHits, cacheMisses := mm.CacheStats() + total := cacheHits + cacheMisses + hitRate := float64(0) + if total > 0 { + hitRate = float64(cacheHits) * 100 / float64(total) + } + fmt.Printf("\n[Embedding缓存统计]\n") + fmt.Printf(" 缓存大小: %d\n", cacheSize) + fmt.Printf(" 命中次数: %d\n", cacheHits) + fmt.Printf(" 未命中次数: %d\n", cacheMisses) + fmt.Printf(" 命中率: %.1f%%\n", hitRate) + + // 记忆上下文统计（模拟查询） + queries := []string{ + "Java技术栈", + "团队规模", + "微服务拆分", + "前端框架", + "天气", + } + + fmt.Printf("\n[记忆检索测试 - %d个查询]\n", len(queries)) + totalMemories := 0 + referencedMemories := 0 + for _, q := range queries { + ctx, stats := mm.BuildMemoryContextWithStats("default", q) + hasMemory := ctx != "" + fmt.Printf(" 查询 '%s': 短期=%d, 长期=%d, tokens=%d, 有记忆=%v\n", + q, stats.ShortTermCount, stats.LongTermCount, stats.TotalTokens, hasMemory) + if hasMemory { + totalMemories++ + if stats.LongTermCount > 0 { + referencedMemories++ + } + } + } + fmt.Printf(" 记忆命中率: %d/%d (%.0f%%)\n", referencedMemories, len(queries), float64(referencedMemories)*100/float64(len(queries))) +} + +func checkDatabase() { + dbPath := os.ExpandEnv("$HOME/.orca/sessions/orcasession.db") + db, err := sql.Open("sqlite", dbPath) + if err != nil { + fmt.Printf("打开数据库失败: %v\n", err) + return + } + defer db.Close() + + fmt.Println("\n=== 数据库统计 ===") + + // 表统计 + fmt.Println("\n--- 各表记录数 ---") + tables := []string{"main_messages", "short_term_memories", "long_term_memories", "dialogue_buffer", "subagent_messages", "memory_usage_log"} + for _, table := range tables { + var count int + db.QueryRow(fmt.Sprintf("SELECT COUNT(*) FROM %s", table)).Scan(&count) + fmt.Printf(" %s: %d\n", table, count) + } + + // 长期记忆详情 + fmt.Println("\n--- 长期记忆详情 ---") + rows, _ := db.Query(` + SELECT id, substr(content, 1, 50), memory_type, weight, confidence, access_count, created_at + FROM long_term_memories + ORDER BY id DESC + `) + defer rows.Close() + for rows.Next() { + var id int + var content, mtype string + var weight, confidence float64 + var accessCount int + var createdAt string + rows.Scan(&id, &content, &mtype, &weight, &confidence, &accessCount, &createdAt) + fmt.Printf(" [#%d %s] weight=%.2f conf=%.2f access=%d | %s\n", id, mtype, weight, confidence, accessCount, content) + } + + // memory_usage_log 详情 + fmt.Println("\n--- 记忆使用日志 ---") + rows2, _ := db.Query(` + SELECT memory_id, substr(query, 1, 30), was_referenced, used_at + FROM memory_usage_log + ORDER BY id DESC + `) + defer rows2.Close() + count := 0 + for rows2.Next() { + var memID int + var query string + var referenced int + var usedAt string + rows2.Scan(&memID, &query, &referenced, &usedAt) + fmt.Printf(" memory_id=%d query='%s' referenced=%v at=%s\n", memID, query, referenced == 1, usedAt) + count++ + } + if count == 0 { + fmt.Println(" (空)") + } + + // 子Agent统计 + fmt.Println("\n--- 子Agent消息统计 ---") + rows3, _ := db.Query(`SELECT agent_name, COUNT(*) FROM subagent_messages GROUP BY agent_name`) + defer rows3.Close() + for rows3.Next() { + var agent string + var cnt int + rows3.Scan(&agent, &cnt) + fmt.Printf(" %s: %d\n", agent, cnt) + } + + // 对话缓冲 + fmt.Println("\n--- 对话缓冲 ---") + var bufCount int + db.QueryRow("SELECT COUNT(*) FROM dialogue_buffer").Scan(&bufCount) + fmt.Printf(" 当前缓冲条数: %d\n", bufCount) +} + +func truncate(s string, max int) string { + if len(s) <= max { + return s + } + return s[:max] + "..." +} diff --git a/test_memory_system.go b/test_memory_system.go new file mode 100644 index 0000000..6c2b875 --- /dev/null +++ b/test_memory_system.go @@ -0,0 +1,247 @@ +package main + +import ( + "context" + "database/sql" + "fmt" + "os" + "time" + + "github.com/orca/orca/pkg/bus" + "github.com/orca/orca/pkg/kernel" + _ "modernc.org/sqlite" + _ "modernc.org/sqlite/vec" +) + +func main() { + fmt.Println("=== 子Agent调用 + 记忆系统测试 ===") + + k := kernel.New() + if err := k.Start(); err != nil { + fmt.Printf("启动失败: %v\n", err) + os.Exit(1) + } + defer k.Stop() + + orch := k.Orchestrator() + mm := k.MemoryManager() + + fmt.Println("\n1. 发送普通消息给 LLM...") + resp1, err := k.SendMessage("user", "llm", "你好，我叫张三，我喜欢用Go语言写后端服务") + if err != nil { + fmt.Printf("发送失败: %v\n", err) + os.Exit(1) + } + fmt.Printf("回复: %s\n", truncate(resp1, 200)) + + fmt.Println("\n2. 发送第二条消息给 LLM...") + resp2, err := k.SendMessage("user", "llm", "你觉得Go和Python哪个更适合做Web后端？") + if err != nil { + fmt.Printf("发送失败: %v\n", err) + os.Exit(1) + } + fmt.Printf("回复: %s\n", truncate(resp2, 200)) + + fmt.Println("\n3. 直接调用 coder 子Agent...") + msg := bus.Message{ + Type: bus.MsgTypeTaskRequest, + From: "user", + To: "coder", + Content: "请写一个快速排序算法，用Go语言实现", + } + resp3, err := orch.Process(context.Background(), msg) + if err != nil { + fmt.Printf("coder 调用失败: %v\n", err) + } else { + fmt.Printf("coder 回复: %s\n", truncate(fmt.Sprintf("%v", resp3.Content), 300)) + } + + fmt.Println("\n4. 直接调用 reviewer 子Agent...") + msg2 := bus.Message{ + Type: bus.MsgTypeTaskRequest, + From: "user", + To: "reviewer", + Content: "请审查以下代码的质量：func main() { fmt.Println(\"hello\") }", + } + resp4, err := orch.Process(context.Background(), msg2) + if err != nil { + fmt.Printf("reviewer 调用失败: %v\n", err) + } else { + fmt.Printf("reviewer 回复: %s\n", truncate(fmt.Sprintf("%v", resp4.Content), 300)) + } + + fmt.Println("\n5. 发送第三条消息（继续对话，积累dialogue_buffer）...") + resp5, err := k.SendMessage("user", "llm", "我在一家电商公司做后端开发，平时用Go处理高并发订单系统") + if err != nil { + fmt.Printf("发送失败: %v\n", err) + } else { + fmt.Printf("回复: %s\n", truncate(resp5, 200)) + } + + fmt.Println("\n6. 发送第四条消息（继续对话，触发长期记忆提取阈值）...") + resp6, err := k.SendMessage("user", "llm", "我希望回答简洁一些，直接给代码示例，不要太多解释") + if err != nil { + fmt.Printf("发送失败: %v\n", err) + } else { + fmt.Printf("回复: %s\n", truncate(resp6, 200)) + } + + fmt.Println("\n7. 发送第五条消息（超过5条阈值，应触发自动提取）...") + resp7, err := k.SendMessage("user", "llm", "最近在做一个库存管理模块，用Redis做缓存，MySQL做持久化") + if err != nil { + fmt.Printf("发送失败: %v\n", err) + } else { + fmt.Printf("回复: %s\n", truncate(resp7, 200)) + } + + fmt.Println("\n8. 手动维护短期记忆...") + if mm != nil { + mm.AddShortTermMemory("default", "用户张三喜欢Go语言") + mm.AddShortTermMemory("default", "用户询问过Web后端技术选型") + fmt.Println("短期记忆已添加") + } + + fmt.Println("\n9. 手动添加长期记忆...") + if mm != nil { + mm.AddLongTermMemory("用户偏好Go语言", "preference") + mm.AddLongTermMemory("用户关注后端开发", "fact") + fmt.Println("长期记忆已添加") + } + + fmt.Println("\n10. 等待异步长期记忆提取 + embedding 处理 (10秒)...") + time.Sleep(10 * time.Second) + + fmt.Println("\n11. 查询数据库...") + checkDatabase() +} + +func checkDatabase() { + dbPath := os.ExpandEnv("$HOME/.orca/sessions/orcasession.db") + db, err := sql.Open("sqlite", dbPath) + if err != nil { + fmt.Printf("打开数据库失败: %v\n", err) + return + } + defer db.Close() + + fmt.Println("\n--- main_messages 统计 ---") + var count int + db.QueryRow("SELECT COUNT(*) FROM main_messages").Scan(&count) + fmt.Printf("总消息数: %d\n", count) + + if count > 0 { + fmt.Println(" 最近5条消息:") + rows, _ := db.Query(` + SELECT role, substr(content, 1, 60), timestamp + FROM main_messages + ORDER BY id DESC LIMIT 5 + `) + defer rows.Close() + for rows.Next() { + var role, content, ts string + rows.Scan(&role, &content, &ts) + fmt.Printf(" [%s] %s... (%s)\n", role, content, ts) + } + } + + fmt.Println("\n--- subagent_messages 统计 ---") + var subCount int + db.QueryRow("SELECT COUNT(*) FROM subagent_messages").Scan(&subCount) + fmt.Printf("子Agent消息数: %d\n", subCount) + + if subCount > 0 { + fmt.Println(" 子Agent消息明细:") + rows, _ := db.Query(` + SELECT agent_name, role, substr(content, 1, 50), parent_session_id, session_id + FROM subagent_messages + ORDER BY id DESC LIMIT 10 + `) + defer rows.Close() + for rows.Next() { + var agent, role, content, parentSID, sid string + rows.Scan(&agent, &role, &content, &parentSID, &sid) + fmt.Printf(" [%s/%s] %s... (parent=%s, sid=%s)\n", agent, role, content, parentSID, sid) + } + } + + fmt.Println("\n--- 向量表统计 ---") + var vecCount int + err = db.QueryRow("SELECT COUNT(*) FROM vec_main_messages").Scan(&vecCount) + if err != nil { + fmt.Printf("向量表查询失败: %v\n", err) + } else { + fmt.Printf("向量数量: %d\n", vecCount) + } + + if vecCount > 0 { + fmt.Println(" 最近5条向量:") + rows, _ := db.Query(` + SELECT v.msg_id, m.role, substr(m.content, 1, 40) + FROM vec_main_messages v + JOIN main_messages m ON v.msg_id = m.id + LIMIT 5 + `) + defer rows.Close() + for rows.Next() { + var msgID int + var role, content string + rows.Scan(&msgID, &role, &content) + fmt.Printf(" msg_id=%d role=%s content=%s\n", msgID, role, content) + } + } + + fmt.Println("\n--- 短期记忆 ---") + rows, _ := db.Query("SELECT substr(content, 1, 60) FROM short_term_memories LIMIT 5") + defer rows.Close() + stmCount := 0 + for rows.Next() { + var content string + rows.Scan(&content) + fmt.Printf(" %s\n", content) + stmCount++ + } + if stmCount == 0 { + fmt.Println(" (空)") + } + + fmt.Println("\n--- 长期记忆 ---") + rows2, _ := db.Query("SELECT substr(content, 1, 60), memory_type, weight FROM long_term_memories LIMIT 5") + defer rows2.Close() + ltmCount := 0 + for rows2.Next() { + var content, mtype string + var weight float64 + rows2.Scan(&content, &mtype, &weight) + fmt.Printf(" [%s|weight=%.2f] %s\n", mtype, weight, content) + ltmCount++ + } + if ltmCount == 0 { + fmt.Println(" (空)") + } + + fmt.Println("\n--- dialogue_buffer ---") + var bufCount int + db.QueryRow("SELECT COUNT(*) FROM dialogue_buffer").Scan(&bufCount) + fmt.Printf("对话缓冲条数: %d\n", bufCount) + + fmt.Println("\n--- 按 agent_name 统计子Agent消息 ---") + rows3, _ := db.Query(` + SELECT agent_name, COUNT(*) as cnt + FROM subagent_messages + GROUP BY agent_name + `) + defer rows3.Close() + for rows3.Next() { + var agent string + var cnt int + rows3.Scan(&agent, &cnt) + fmt.Printf(" %s: %d 条消息\n", agent, cnt) + } +} + +func truncate(s string, max int) string { + if len(s) <= max { + return s + } + return s[:max] + "..." +} diff --git a/test_retrieval b/test_retrieval new file mode 100755 index 0000000..b4bc3ef Binary files /dev/null and b/test_retrieval differ diff --git a/thoughts/shared/designs/2025-05-11-orca-memory-final-design.md b/thoughts/shared/designs/2025-05-11-orca-memory-final-design.md new file mode 100644 index 0000000..538d60b --- /dev/null +++ b/thoughts/shared/designs/2025-05-11-orca-memory-final-design.md @@ -0,0 +1,491 @@ +--- +date: 2025-05-11 +topic: "Orca 完整记忆系统 + Agent 进化方案" +status: validated +--- + +# Orca 完整记忆系统 + Agent 进化方案 + +## 一、系统架构总览 + +``` +┌─────────────────────────────────────────────────────────────┐ +│ 用户消息 │ +└──────────────────────┬──────────────────────────────────────┘ + ▼ +┌─────────────────────────────────────────────────────────────┐ +│ 智能注入层（规则驱动，零 LLM 开销） │ +│ • 首轮对话 → 不带记忆 │ +│ • 第 2+ 轮 → 自动注入短期记忆（3条） │ +│ • 技术讨论 → 额外注入长期记忆（2条） │ +└──────────────────────┬──────────────────────────────────────┘ + ▼ +┌─────────────────────────────────────────────────────────────┐ +│ 记忆查询层（按需加载） │ +│ • 短期记忆：SQLite + 语义检索（缓存命中 130x 加速） │ +│ • 长期记忆：SQLite + 独立向量索引（vec_long_term_memories） │ +└──────────────────────┬──────────────────────────────────────┘ + ▼ +┌─────────────────────────────────────────────────────────────┐ +│ LLM Agent 处理消息 │ +└──────────────────────┬──────────────────────────────────────┘ + ▼ +┌─────────────────────────────────────────────────────────────┐ +│ 记忆维护层（后台异步） │ +│ • 短期记忆：即时摘要保存（现有逻辑） │ +│ • 长期记忆：MemoryExtractorAgent 批量提取（每 5 轮一次） │ +└──────────────────────┬──────────────────────────────────────┘ + ▼ +┌─────────────────────────────────────────────────────────────┐ +│ 进化层（权重系统） │ +│ • 记忆被引用 → 权重 +1 │ +│ • 记忆未引用 → 权重 -0.5 │ +│ • 权重 < 0.3 → 归档 │ +│ • 权重 > 5.0 → 核心记忆 │ +└─────────────────────────────────────────────────────────────┘ +``` + +--- + +## 二、配置架构（config.toml） + +```toml +# ========== 主 LLM 配置 ========== +provider = "deepseek" + +[deepseek] +base_url = "https://api.deepseek.com/v1" +model = "deepseek-v4-flash" +api_key = "sk-xxx" +timeout = "120s" + +# ========== Embedding 配置 ========== +[embedding] +provider = "siliconflow" +model = "Pro/BAAI/bge-m3" +dimensions = 1024 +max_context = 8192 + +[siliconflow] +api_key = "sk-xxx" +base_url = "https://api.siliconflow.cn/v1" + +# ========== 记忆系统配置（新增） ========== +[memory] +enabled = true # 记忆系统总开关 +max_history = 100 # 工作记忆最大轮数 + +[memory.short_term] +max_items = 10 # 最多保留 10 条短期记忆 +compression_threshold = 200 # 超过 200 字自动压缩 + +[memory.long_term] +enabled = true # 长期记忆开关 +vector_index = true # 启用向量索引 +max_return = 2 # 每次最多返回 2 条 +archive_threshold = 0.3 # 权重低于此值归档 + +[memory.inject] +first_round_empty = true # 首轮不带记忆 +short_term_count = 3 # 默认注入 3 条短期记忆 +long_term_trigger = "technical" # 技术讨论触发长期记忆 +min_query_length = 10 # query 最短长度才查长期记忆 + +# ========== MemoryExtractorAgent 配置（新增） ========== +[memory_agent] +enabled = true +provider = "deepseek" # 可独立配置，默认继承主 LLM +model = "deepseek-v4-flash" # 可用便宜模型，如 deepseek-chat +api_key = "" # 留空继承 deepseek.api_key +base_url = "" # 留空继承 deepseek.base_url +timeout = "60s" + +[memory_agent.extract] +batch_size = 5 # 每 5 轮提取一次 +max_facts = 10 # 每次最多提取 10 个事实 +min_confidence = 0.6 # 置信度阈值 +auto_tag = true # 自动打标签 + +[memory_agent.summarize] +enabled = true # 启用对话总结 +trigger_tokens = 4000 # 超过此 token 触发总结 +``` + +--- + +## 三、Agent 描述文件 + +**文件位置**： `~/.orca/agents/memory_extractor.md` + +```markdown +# Memory Extractor Agent + +你是一个专门从对话中提取用户信息的 Agent。你的工作是将非结构化的对话转化为结构化的长期记忆。 + +## 任务 + +分析给定的对话记录，提取以下类型的信息： + +1. **事实 (fact)**：客观信息 + - 工作：公司、职位、技术栈、行业 + - 技术：擅长语言、框架偏好、架构经验 + - 个人：教育背景、所在城市（仅用户明确提及） + +2. **偏好 (preference)**：主观倾向 + - 回答风格：简洁/详细/代码示例/架构图 + - 技术偏好：语言、数据库、部署方式 + - 沟通偏好：正式/ casual + +3. **项目 (project)**：当前工作 + - 项目名称、技术方案、当前阶段、遇到的挑战 + +## 输出格式 + +只输出 JSON，不要任何解释： + +```json +{ + "facts": [ + { + "content": "用户在电商公司担任后端工程师", + "type": "fact", + "tags": ["工作", "后端", "电商"], + "confidence": 0.95, + "replace": null + }, + { + "content": "用户偏好简洁的技术回答，不要过多解释", + "type": "preference", + "tags": ["沟通风格", "偏好"], + "confidence": 0.85, + "replace": "用户喜欢详细的回答" + } + ] +} +``` + +## 规则 + +- confidence < 0.6 的事实不输出 +- 如果新事实与旧事实冲突： + - 在 replace 字段填入被替换的旧事实 content + - 只替换同一 type + 同一 tags 的事实 +- 不猜测、不推断，只提取用户明确表达的信息 +- 标签从预设列表选择：工作、技术、偏好、项目、沟通风格、行业 +``` + +--- + +## 四、数据表设计 + +### 现有表（已验证） + +- `main_messages` — 工作记忆 +- `short_term_memories` — 短期记忆 +- `subagent_messages` — 子 Agent 对话 + +### 新增表 + +```sql +-- 长期记忆向量索引（核心新增） +CREATE VIRTUAL TABLE IF NOT EXISTS vec_long_term_memories USING vec0( + memory_id INTEGER PRIMARY KEY, + embedding FLOAT[1024] +); + +-- 长期记忆主表（扩展） +CREATE TABLE IF NOT EXISTS long_term_memories ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + content TEXT NOT NULL UNIQUE, + memory_type TEXT NOT NULL DEFAULT 'fact', -- fact/preference/project + tags TEXT, -- JSON 数组 ["工作", "技术"] + confidence REAL NOT NULL DEFAULT 0.8, + weight REAL NOT NULL DEFAULT 1.0, -- 动态权重 + access_count INTEGER NOT NULL DEFAULT 0, + last_accessed DATETIME, + created_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, + archived INTEGER NOT NULL DEFAULT 0 -- 0=活跃, 1=归档 +); + +-- 记忆使用日志（用于权重计算） +CREATE TABLE IF NOT EXISTS memory_usage_log ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + memory_id INTEGER NOT NULL, + session_id TEXT NOT NULL, + query TEXT NOT NULL, -- 用户原始 query + was_referenced INTEGER NOT NULL DEFAULT 0, -- 是否被 Agent 引用 + used_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP +); + +-- 对话缓冲（批量提取用） +CREATE TABLE IF NOT EXISTS dialogue_buffer ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + session_id TEXT NOT NULL, + user_query TEXT NOT NULL, + assistant_response TEXT NOT NULL, + created_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP +); +``` + +--- + +## 五、核心流程设计 + +### 5.1 消息处理流程（动态注入） + +```go +func (a *LLMAgent) buildLLMMessages(query string) []llm.Message { + messages := make([]llm.Message, 0) + + // 1. System prompt（原有） + if a.systemPrompt != "" { + messages = append(messages, llm.Message{Role: "system", Content: a.systemPrompt}) + } + + // 2. Tool prompt（原有） + if toolPrompt := a.buildToolPrompt(); toolPrompt != "" { + messages = append(messages, llm.Message{Role: "system", Content: toolPrompt}) + } + + // 3. 记忆注入（新增：智能判断） + if shouldInjectMemory(query, a.sessionMgr.GetMessageCount(a.sessionID)) { + ctx, stats := a.memoryManager.BuildMemoryContextWithStats(a.sessionID, query) + if ctx != "" { + messages = append(messages, llm.Message{Role: "system", Content: ctx}) + log.Printf("[memory] Injected: short=%d, long=%d, tokens=%d", + stats.ShortTermCount, stats.LongTermCount, stats.TotalTokens) + } + } + + // 4. 对话历史（原有） + // ... + + return messages +} + +func shouldInjectMemory(query string, msgCount int) bool { + if msgCount == 0 { + return false // 首轮不带记忆 + } + if len(query) < 10 { + return false // 太短不查 + } + return true +} +``` + +### 5.2 记忆维护流程（批量提取） + +```go +func (mm *MemoryManager) MaintainSessionMemory(sessionID, userQuery, assistantResponse string) { + // 1. 保存短期记忆（即时） + summary := fmt.Sprintf("用户问：%s\n回答：%s", + userQuery, truncateString(assistantResponse, 100)) + mm.AddShortTermMemory(sessionID, summary) + + // 2. 缓冲对话（用于批量提取） + mm.bufferDialogue(sessionID, userQuery, assistantResponse) + + // 3. 检查是否触发批量提取 + if mm.shouldExtract() { + mm.triggerExtraction(sessionID) + } +} + +func (mm *MemoryManager) triggerExtraction(sessionID string) { + dialogues := mm.flushBuffer(sessionID) + + // 异步调用 MemoryExtractorAgent + go func() { + facts, err := mm.extractor.ExtractFacts(dialogues) + if err != nil { + log.Printf("[memory] Extraction failed: %v", err) + return + } + + for _, fact := range facts { + if fact.Confidence >= mm.config.MinConfidence { + mm.AddLongTermMemory(fact) + } + } + }() +} +``` + +### 5.3 权重反馈流程（自动进化） + +```go +func (mm *MemoryManager) recordMemoryUsage(memoryID int64, sessionID, query string, referenced bool) { + // 1. 记录使用日志 + mm.store.Exec( + "INSERT INTO memory_usage_log (memory_id, session_id, query, was_referenced) VALUES (?, ?, ?, ?)", + memoryID, sessionID, query, referenced, + ) + + // 2. 更新权重 + delta := 0.5 + if !referenced { + delta = -0.3 + } + + mm.store.Exec( + "UPDATE long_term_memories SET weight = weight + ?, access_count = access_count + 1, last_accessed = ? WHERE id = ?", + delta, time.Now(), memoryID, + ) + + // 3. 检查归档 + mm.archiveLowWeightMemories() +} +``` + +--- + +## 六、MemoryExtractorAgent 实现 + +```go +package actor + +type MemoryExtractorAgent struct { + *SubAgent + config ExtractConfig +} + +func NewMemoryExtractorAgent(id string, llmBackend llm.LLM, cfg ExtractConfig) *MemoryExtractorAgent { + prompt := loadAgentPrompt("memory_extractor") // 读取 ~/.orca/agents/memory_extractor.md + + sa := NewSubAgent(id, llmBackend, + WithSubAgentRole("memory_extractor"), + WithSubAgentSystemPrompt(prompt), + ) + + return &MemoryExtractorAgent{SubAgent: sa, config: cfg} +} + +func (mea *MemoryExtractorAgent) ExtractFacts(dialogues []Dialogue) ([]Fact, error) { + // 格式化对话为 prompt + var sb strings.Builder + sb.WriteString("请分析以下对话记录，提取用户的关键信息：\n\n") + for i, d := range dialogues { + sb.WriteString(fmt.Sprintf("--- 对话 %d ---\n", i+1)) + sb.WriteString(fmt.Sprintf("用户：%s\n", d.UserQuery)) + sb.WriteString(fmt.Sprintf("助手：%s\n\n", d.AssistantResponse)) + } + + msg := bus.Message{Type: bus.MsgTypeTaskRequest, Content: sb.String()} + resp, err := mea.Process(context.Background(), msg) + if err != nil { + return nil, err + } + + return parseFactJSON(resp.Content) +} +``` + +--- + +## 七、实施路线图 + +### Phase 1: 基础记忆层（1-2 天） +- [ ] 扩展 `long_term_memories` 表（添加 weight, tags, archived 字段） +- [ ] 创建 `vec_long_term_memories` 向量索引表 +- [ ] 创建 `memory_usage_log` 使用日志表 +- [ ] 创建 `dialogue_buffer` 对话缓冲表 +- [ ] 修改 config.toml 解析，支持 `[memory]` 和 `[memory_agent]` 段 + +### Phase 2: 记忆注入层（1-2 天） +- [ ] 实现 `shouldInjectMemory()` 智能判断逻辑 +- [ ] 修改 `buildLLMMessages()` 注入记忆上下文 +- [ ] 实现短期记忆检索（现有逻辑优化） +- [ ] 实现长期记忆向量检索（语义搜索） +- [ ] 添加 Embedding 缓存层（130x 加速） + +### Phase 3: MemoryExtractorAgent（2-3 天） +- [ ] 创建 `~/.orca/agents/memory_extractor.md` 提示词文件 +- [ ] 实现 `MemoryExtractorAgent` 结构体 +- [ ] 实现 `ExtractFacts()` 批量提取逻辑 +- [ ] 实现对话缓冲和批量触发机制 +- [ ] 集成到 `MaintainSessionMemory()` 流程 + +### Phase 4: 权重进化系统（1-2 天） +- [ ] 实现 `recordMemoryUsage()` 权重反馈 +- [ ] 实现记忆引用检测（判断 Agent 是否使用了某条记忆） +- [ ] 实现自动归档逻辑（权重 < 0.3） +- [ ] 实现核心记忆标记（权重 > 5.0） +- [ ] 添加 `orca memory` CLI 命令（list, stats, clean） + +### Phase 5: 测试与优化（1-2 天） +- [ ] 单元测试：记忆检索、权重计算、事实提取 +- [ ] 集成测试：端到端对话流程 +- [ ] 性能测试：Embedding 缓存命中率、向量检索延迟 +- [ ] 调优：权重阈值、提取频率、注入策略 + +--- + +## 八、预期效果 + +| 指标 | 目标值 | +|------|--------| +| 记忆命中率 | > 80%（相关查询能命中有效记忆） | +| Token 消耗 | 增加 < 15%（记忆注入的额外开销） | +| 长期记忆检索 | < 100ms（向量搜索 + 缓存） | +| 自动学习 | 每 5 轮对话自动提取 2-5 个事实 | +| 记忆质量 | 人工抽查 > 90% 准确 | +| 成本增加 | Embedding API 调用 ≈ ¥0.01/千次 | + +--- + +## 九、关键决策总结 + +| 决策 | 方案 | 理由 | +|------|------|------| +| 提取频率 | 每 5 轮批量提取 | 平衡实时性与 API 成本 | +| 提取模型 | 复用主 LLM（可独立配置） | 降低复杂度，留优化空间 | +| 意图分类 | 规则驱动（首轮/长度/技术词） | 零 LLM 开销，可预测 | +| 预加载 | 无，按需查询 | 避免无关记忆污染上下文 | +| 聚类 | 标签 + 类型，无自动聚类 | 人工可理解，可控 | +| 反馈机制 | 引用检测 + 权重调整 | 简单有效，可解释 | + +--- + +## 评审意见处理 + +| 评审意见 | 处理方式 | +|---------|---------| +| vec0 兼容性 | ✅ 已确认可用，保留原方案 | +| Agent 演化系统 | ✅ 用户明确要求保留权重系统 | +| 异步处理 | ✅ 使用 goroutine 异步调用 MemoryExtractorAgent | +| 记忆衰减 | ✅ weight 字段 + archive_threshold 实现 | +| Token 预算 | ✅ 通过 max_return 和 short_term_count 控制 | +| 降级策略 | ✅ 配置项 enabled = true/false 可完全关闭 | +| 混合检索 | ⚠️ 当前纯向量检索，后续可添加 FTS5 | +| 嵌入模型版本化 | ⚠️ 当前固定 bge-m3，后续可扩展 | + +--- + +## 附录 + +### A. 嵌入模型配置 + +**固定使用**：硅基流动 Pro/BAAI/bge-m3 +- 维度：1024 +- 最大上下文：8192 +- 优势：中文优化，质量高 + +### B. 权重计算示例 + +``` +初始：weight = 1.0 +被引用 5 次：1.0 + 5*0.5 = 3.5 +未被引用 3 次：3.5 - 3*0.3 = 2.6 +超过 5.0 → 标记为核心记忆 +低于 0.3 → 归档（不删除，可恢复） +``` + +### C. 降级路径 + +``` +Level 1: 向量检索 + 权重排序（正常） +Level 2: 纯 SQL 检索（向量服务故障） +Level 3: 仅短期记忆（长期记忆关闭） +Level 4: 无记忆（memory.enabled = false） +``` \ No newline at end of file diff --git a/thoughts/shared/designs/2026-05-10-memory-system-design.md b/thoughts/shared/designs/2026-05-10-memory-system-design.md new file mode 100644 index 0000000..f08be51 --- /dev/null +++ b/thoughts/shared/designs/2026-05-10-memory-system-design.md @@ -0,0 +1,317 @@ +date: 2026-05-10 +topic: "三层记忆系统 + 向量检索 + 子Agent隔离" +status: validated + +## Problem Statement + +当前 orca.agent 使用 JSONL 文件存储会话历史，存在以下问题： +1. **检索方式原始**：只能按时间窗口取消息，无法语义检索 +2. **无记忆分层**：所有消息一视同仁，早期重要信息被截断 +3. **无跨会话知识**：用户偏好、项目背景每次重新说明 +4. **子 Agent 污染上下文**：子 agent 的详细推理过程进入主 agent 上下文 + +## Constraints + +1. **存储**：使用 SQLite + sqlite-vec（用户已安装） +2. **Embedding**：使用硅基流动 API（Pro/BAAI/bge-m3，1024维，8K上下文） +3. **向后兼容**：保留 JSONL 作为备份/迁移选项 +4. **API 密钥**：通过 `~/.orca/config.toml` 的 `[siliconflow]` 段配置 + +## Approach + +采用 **三层记忆架构** + **向量检索** + **子 Agent 隔离**： + +**三层记忆**： +- **工作记忆**：当前对话窗口（最近 N 条消息） +- **短期记忆**：本会话历史摘要（语义检索） +- **长期记忆**：跨会话关键知识（语义检索） + +**向量检索**： +- 每条消息保存时生成 Embedding +- 检索时使用余弦相似度匹配相关记忆 +- 支持跨会话语义检索 + +**子 Agent 隔离**： +- 子 agent 推理过程存储在独立表 +- 主 agent 只接收结果摘要 +- Web UI 可查看完整子 agent 执行过程 + +## Architecture + +``` +用户输入 + │ + ├─→ [工作记忆] SQL 查询最近 N 条 + │ └─→ 直接注入 Prompt + │ + ├─→ [短期记忆] 向量检索当前会话相关历史 + │ └─→ 语义匹配 → 注入 Prompt + │ + ├─→ [长期记忆] 向量检索跨会话知识 + │ └─→ 语义匹配 → 注入 Prompt + │ + └─→ LLM 生成回复 + │ + ├─→ 保存到 main_messages（生成 Embedding） + │ + └─→ 如果是工具调用 → 子 Agent 执行 + │ + ├─→ 子 Agent 输出 → subagent_messages + │ └─→ 完成后返回结果 + │ + └─→ 结果摘要 → main_messages +``` + +## Components + +### 1. SQLiteStore（替代 JSONLStore） +- 文件：`pkg/session/sqlite_store.go` +- 实现 `Store` 接口 +- 使用 SQLite 存储消息 +- 初始化时创建表结构 +- **向后兼容**：提供 JSONL → SQLite 迁移脚本 + +### 2. VectorStore（向量层） +- 文件：`pkg/session/vector_store.go` +- 封装 sqlite-vec 操作 +- 提供 SaveEmbedding、SearchSimilar 方法 +- 使用硅基流动 Embed API 生成向量（Pro/BAAI/bge-m3，1024维） +- **优化策略**： + - 只对用户消息和完整 Assistant 回复生成向量（跳过短消息 < 10 字） + - 异步生成：消息先存 SQLite，Embedding 后台 goroutine 生成 + - 批量生成：累积 5 条消息后一次性生成 + +### 3. MemoryManager（三层记忆管理） +- 文件：`pkg/session/memory_manager.go` +- 管理工作记忆、短期记忆、长期记忆 +- 提供 GetWorkingMemory、GetShortTermMemory、GetLongTermMemory +- **Token 预算管理**： + - 总预算：模型窗口的 60%（如 8K 模型 = 4800 tokens） + - 工作记忆：预算的 50%（约 2400 tokens） + - 短期记忆：预算的 30%（约 1440 tokens） + - 长期记忆：预算的 20%（约 960 tokens） +- 自动维护记忆（生成摘要、压缩） + +### 4. SubAgentStore（子 Agent 隔离） +- 文件：`pkg/session/subagent_store.go` 或复用 sqlite_store +- 独立表存储子 agent 输出 +- **存储策略**：只存最终完整回复（一条记录），不存流式 token +- 不与主 agent 上下文混合 + +### 5. LLM Agent 集成 +- 修改：`pkg/actor/llm_agent.go` +- `buildLLMMessages()` 整合三层记忆 +- 子 agent 调用时设置隔离存储 +- **触发时机**：每轮对话结束生成短期摘要，会话结束压缩到长期记忆 + +## Database Schema + +### main_messages（主对话表） +```sql +CREATE TABLE main_messages ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + session_id TEXT NOT NULL, + role TEXT NOT NULL CHECK(role IN ('user', 'assistant', 'system', 'tool')), + content TEXT NOT NULL, + msg_type TEXT DEFAULT 'normal' CHECK(msg_type IN ('normal', 'fact', 'todo', 'decision', 'preference', 'error')), + token_count INTEGER DEFAULT 0, + has_embedding BOOLEAN DEFAULT FALSE, + timestamp DATETIME DEFAULT CURRENT_TIMESTAMP, + metadata JSON +); +CREATE INDEX idx_main_session_time ON main_messages(session_id, timestamp DESC); +CREATE INDEX idx_main_role ON main_messages(role) WHERE role IN ('user', 'assistant'); +``` + +### subagent_messages（子 Agent 隔离表） +```sql +CREATE TABLE subagent_messages ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + parent_msg_id INTEGER NOT NULL, + session_id TEXT NOT NULL, + agent_name TEXT NOT NULL, + role TEXT NOT NULL CHECK(role IN ('assistant', 'system')), + content TEXT NOT NULL, + timestamp DATETIME DEFAULT CURRENT_TIMESTAMP, + FOREIGN KEY (parent_msg_id) REFERENCES main_messages(id) ON DELETE CASCADE +); +CREATE INDEX idx_subagent_parent ON subagent_messages(parent_msg_id); +``` + +### short_term_memories（短期记忆表） +```sql +CREATE TABLE short_term_memories ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + session_id TEXT NOT NULL, + content TEXT NOT NULL, + source_count INTEGER DEFAULT 1, + confidence REAL DEFAULT 0.8 CHECK(confidence BETWEEN 0 AND 1), + created_at DATETIME DEFAULT CURRENT_TIMESTAMP, + updated_at DATETIME +); +CREATE INDEX idx_stm_session ON short_term_memories(session_id, updated_at DESC); +``` + +### long_term_memories（长期记忆表） +```sql +CREATE TABLE long_term_memories ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + content TEXT NOT NULL, + memory_type TEXT NOT NULL CHECK(memory_type IN ('preference', 'fact', 'decision', 'project')), + source_session TEXT, + confidence REAL DEFAULT 0.5 CHECK(confidence BETWEEN 0 AND 1), + access_count INTEGER DEFAULT 0, + last_accessed DATETIME, + expires_at DATETIME, + created_at DATETIME DEFAULT CURRENT_TIMESTAMP +); +CREATE INDEX idx_ltm_type ON long_term_memories(memory_type, confidence DESC); +``` + +### vec_main_messages（向量虚拟表） +```sql +CREATE VIRTUAL TABLE vec_main_messages USING vec0( + msg_id INTEGER PRIMARY KEY, + embedding FLOAT[1024] -- 硅基流动 Pro/BAAI/bge-m3 维度 +); +``` + +## Data Flow + +### 消息存储流程 +``` +AddMessage(msg) + │ + ├─→ SQLiteStore.Save(msg) → main_messages 表 + │ └─→ 计算 token_count（估算或计数） + │ + ├─→ 【异步】如果 msg.role IN ('user', 'assistant') 且 len(content) > 10 + │ └─→ EmbeddingQueue <- msg + │ └─→ 后台 goroutine 批量生成 Embedding + │ └─→ VectorStore.Save(msg.id, embedding) + │ └─→ UPDATE main_messages SET has_embedding = TRUE + │ + └─→ 返回 +``` + +### 记忆检索流程 +``` +buildLLMMessages() + │ + ├─→ MemoryManager.GetWorkingMemory(sessionID, tokenBudget=2400) + │ └─→ SQL: SELECT * FROM main_messages + │ WHERE session_id = ? + │ ORDER BY timestamp DESC + │ └─→ 累积 messages 直到 token_count ≈ 2400 + │ └─→ 反转顺序（ chronological ） + │ + ├─→ MemoryManager.GetShortTermMemory(sessionID, query, maxItems=3) + │ └─→ 如果 query 存在且 has_embedding: + │ └─→ 硅基流动 API.Embed(query) + │ └─→ 向量检索 short_term_memories（同 session） + │ └─→ 返回 Top-3 相关摘要 + │ └─→ 否则：SQL 取最近 3 条摘要 + │ + └─→ MemoryManager.GetLongTermMemory(query, maxItems=2) + └─→ 如果 query 存在且 has_embedding: + │ └─→ 硅基流动 API.Embed(query) + │ └─→ 向量检索 long_term_memories + │ └─→ 返回 Top-2 相关记忆 + └─→ 否则：SQL 取 access_count 最高的 2 条 + └─→ UPDATE access_count += 1, last_accessed = NOW() +``` + +### 子 Agent 执行流程 +``` +agent_call.Execute(coder) + │ + ├─→ 创建 SubAgent 上下文（隔离存储） + │ + ├─→ coder.Process(task) + │ ├─→ 流式输出 → subagent_messages + │ └─→ 完成后返回结果 + │ + └─→ 结果摘要 → main_messages +``` + +## Error Handling + +1. **Embedding 失败**：降级为纯文本存储，不影响功能 + - 标记 `has_embedding = FALSE` + - 后续检索使用 SQL 时间排序代替向量相似度 + +2. **sqlite-vec 不可用**：降级为纯 SQL 查询（无向量检索） + - 短期记忆：取最近 N 条摘要（按时间排序） + - 长期记忆：取 access_count 最高的记忆（按访问计数排序） + +3. **硅基流动 API 不可用**：跳过向量检索，纯文本模式运行 + - 启动时检测 API 可用性（读取 config.toml 验证 api_key） + - 不可用时禁用向量功能，回退到 SQL 时间排序 + - 记录警告日志，不影响主功能 + +4. **存储失败**：保留 JSONL 作为备份 + - 初始化时如果 SQLite 失败，回退到 JSONLStore + - 提供迁移脚本 `cmd/migrate-jsonl-to-sqlite` + +5. **Token 预算超限**：优先保留工作记忆 + - 先削减长期记忆（降为 1 条） + - 再削减短期记忆（降为 1 条） + - 最后削减工作记忆（减少消息数量） + +6. **子 Agent 流式输出过大**：截断保护 + - 单条子 Agent 回复限制 10000 tokens + - 超出部分截断并标记 `[内容已截断]` + +## Testing Strategy + +1. **单元测试**： + - SQLiteStore CRUD 操作 + - VectorStore 相似度搜索 + - MemoryManager 三层检索 + +2. **集成测试**： + - 端到端消息存储和检索 + - 子 Agent 隔离验证 + - 向量检索准确性 + +3. **迁移测试**： + - JSONL → SQLite 数据迁移 + - 向后兼容性 + +## Memory Maintenance Strategy + +### 短期记忆生成 +- **触发时机**：每轮对话结束（Assistant 回复完成后） +- **生成方式**：调用 LLM 生成 1-2 句话摘要 +- **Prompt 示例**："请用一句话总结本轮对话的关键信息，不超过 50 字：" +- **存储**：插入 `short_term_memories` 表 + +### 长期记忆生成 +- **触发时机**：会话结束或超过 20 轮对话 +- **生成方式**： + 1. 合并短期记忆摘要 + 2. 调用 LLM 提取关键事实、偏好、决策 + 3. 分类为 preference/fact/decision/project +- **去重**：与新长期记忆做文本相似度比较，相似度 > 0.8 则更新旧记录 + +### 记忆清理 +- **短期记忆**：保留最近 10 条，旧的自动删除 +- **长期记忆**：过期检查（`expires_at`），过期后降权而非删除 +- **访问计数**：长期记忆根据 `access_count` 排序，低频记忆逐步淘汰 + +## Open Questions + +1. **Embedding 模型选择**：硅基流动 Pro/BAAI/bge-m3，1024维，8K上下文 + - **配置**：通过 `SILICONFLOW_API_KEY` 环境变量认证 + - **模型ID**：`Pro/BAAI/bge-m3` + +2. **向量维度**：1024维，sqlite-vec 完全支持 + +3. **性能**：大量消息时向量检索性能如何？是否需要索引优化？ + - **优化**：sqlite-vec 自动创建 IVF 索引，10 万条消息内性能良好 + +4. **Token 计数**：是否需要在 Go 端实现 tiktoken？ + - **建议**：初期用简单估算（1 中文字 ≈ 1.5 tokens），后续引入 tiktoken + +5. **迁移策略**：是否强制迁移现有 JSONL？ + - **建议**：不强制迁移，新会话使用 SQLite，旧会话仍从 JSONL 读取 diff --git a/thoughts/shared/plans/2025-05-11-orca-memory-plan.md b/thoughts/shared/plans/2025-05-11-orca-memory-plan.md new file mode 100644 index 0000000..5e4acc7 --- /dev/null +++ b/thoughts/shared/plans/2025-05-11-orca-memory-plan.md @@ -0,0 +1,593 @@ +# Orca 记忆系统实施计划 + +**基于设计文档**: `thoughts/shared/designs/2025-05-11-orca-memory-final-design.md` +**实施方式**: 增量升级（在已有 v1 基础上扩展） +**预估工期**: 5-7 天 + +--- + +## Phase 1: 数据库 Schema 扩展（第 1 天） + +### 1.1 新增 `memory_usage_log` 表 + +**文件**: `pkg/session/sqlite_store.go` — `initSchema()` 方法 + +```go +// 在 initSchema() 中添加 +schema += ` +CREATE TABLE IF NOT EXISTS memory_usage_log ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + memory_id INTEGER NOT NULL, + session_id TEXT NOT NULL, + query TEXT NOT NULL, + was_referenced INTEGER NOT NULL DEFAULT 0, + used_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, + FOREIGN KEY (memory_id) REFERENCES long_term_memories(id) ON DELETE CASCADE +); +CREATE INDEX IF NOT EXISTS idx_usage_memory ON memory_usage_log(memory_id); +CREATE INDEX IF NOT EXISTS idx_usage_session ON memory_usage_log(session_id); +` +``` + +**依赖**: 无 +**测试**: 验证表创建成功，外键约束生效 + +--- + +### 1.2 新增 `dialogue_buffer` 表 + +**文件**: `pkg/session/sqlite_store.go` — `initSchema()` 方法 + +```go +// 在 initSchema() 中添加 +schema += ` +CREATE TABLE IF NOT EXISTS dialogue_buffer ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + session_id TEXT NOT NULL, + user_query TEXT NOT NULL, + assistant_response TEXT NOT NULL, + created_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP +); +CREATE INDEX IF NOT EXISTS idx_buffer_session ON dialogue_buffer(session_id, created_at); +` +``` + +**依赖**: 无 +**测试**: 验证表创建成功 + +--- + +### 1.3 扩展 `long_term_memories` 表 + +**文件**: `pkg/session/sqlite_store.go` + +当前表缺少 `weight`, `tags`, `archived` 字段。由于是 ALTER TABLE，需要小心处理： + +```go +// 在 initSchema() 中修改 long_term_memories 定义 +// 或添加迁移逻辑 +migrations := []string{ + `ALTER TABLE long_term_memories ADD COLUMN weight REAL NOT NULL DEFAULT 1.0`, + `ALTER TABLE long_term_memories ADD COLUMN tags TEXT`, + `ALTER TABLE long_term_memories ADD COLUMN archived INTEGER NOT NULL DEFAULT 0`, +} +``` + +**注意**: SQLite 支持 ADD COLUMN，但有限制（不能加 UNIQUE / PRIMARY KEY） + +**依赖**: 无 +**测试**: 验证迁移后数据完整性 + +--- + +## Phase 2: 配置扩展（第 1-2 天） + +### 2.1 扩展 Config 结构体 + +**文件**: `internal/config/config.go` + +```go +type Config struct { + // ... 现有字段 ... + + Memory MemoryConfig // 新增 + MemoryAgent MemoryAgentConfig // 新增 +} + +type MemoryConfig struct { + Enabled bool `toml:"enabled"` + MaxHistory int `toml:"max_history"` + + ShortTerm ShortTermConfig `toml:"short_term"` + LongTerm LongTermConfig `toml:"long_term"` + Inject InjectConfig `toml:"inject"` +} + +type ShortTermConfig struct { + MaxItems int `toml:"max_items"` + CompressionThreshold int `toml:"compression_threshold"` +} + +type LongTermConfig struct { + Enabled bool `toml:"enabled"` + VectorIndex bool `toml:"vector_index"` + MaxReturn int `toml:"max_return"` + ArchiveThreshold float64 `toml:"archive_threshold"` +} + +type InjectConfig struct { + FirstRoundEmpty bool `toml:"first_round_empty"` + ShortTermCount int `toml:"short_term_count"` + LongTermTrigger string `toml:"long_term_trigger"` + MinQueryLength int `toml:"min_query_length"` +} + +type MemoryAgentConfig struct { + Enabled bool `toml:"enabled"` + Provider string `toml:"provider"` + Model string `toml:"model"` + APIKey string `toml:"api_key"` + BaseURL string `toml:"base_url"` + Timeout string `toml:"timeout"` + Extract ExtractConfig `toml:"extract"` + Summarize SummarizeConfig `toml:"summarize"` +} + +type ExtractConfig struct { + BatchSize int `toml:"batch_size"` + MaxFacts int `toml:"max_facts"` + MinConfidence float64 `toml:"min_confidence"` + AutoTag bool `toml:"auto_tag"` +} + +type SummarizeConfig struct { + Enabled bool `toml:"enabled"` + TriggerTokens int `toml:"trigger_tokens"` +} +``` + +**依赖**: Phase 1 完成 +**测试**: 验证 TOML 解析正确 + +--- + +### 2.2 更新 config.toml.example + +**文件**: `config.toml.example` + +添加完整的 `[memory]` 和 `[memory_agent]` 示例配置。 + +**依赖**: 2.1 完成 + +--- + +## Phase 3: MemoryManager 扩展（第 2-3 天） + +### 3.1 添加权重管理方法 + +**文件**: `pkg/session/memory_manager.go` + +```go +// RecordMemoryUsage 记录记忆使用并更新权重 +func (mm *MemoryManager) RecordMemoryUsage(memoryID int64, sessionID, query string, referenced bool) error + +// UpdateMemoryWeight 更新单条记忆权重 +func (mm *MemoryManager) UpdateMemoryWeight(memoryID int64, delta float64) error + +// ArchiveLowWeightMemories 归档低权重记忆 +func (mm *MemoryManager) ArchiveLowWeightMemories(threshold float64) (int, error) + +// GetCoreMemories 获取核心记忆（高权重） +func (mm *MemoryManager) GetCoreMemories(minWeight float64) ([]LongTermMemory, error) + +// GetArchivedMemories 获取已归档记忆 +func (mm *MemoryManager) GetArchivedMemories() ([]LongTermMemory, error) +``` + +**依赖**: Phase 1, Phase 2 +**测试**: 验证权重计算正确，归档逻辑生效 + +--- + +### 3.2 添加对话缓冲管理 + +**文件**: `pkg/session/memory_manager.go` + +```go +// BufferDialogue 缓冲对话 +func (mm *MemoryManager) BufferDialogue(sessionID, userQuery, assistantResponse string) error + +// GetBufferedDialogues 获取缓冲的对话 +func (mm *MemoryManager) GetBufferedDialogues(sessionID string, limit int) ([]Dialogue, error) + +// ClearBuffer 清空缓冲 +func (mm *MemoryManager) ClearBuffer(sessionID string) error + +// ShouldExtract 检查是否触发提取 +func (mm *MemoryManager) ShouldExtract(sessionID string) (bool, error) +``` + +**依赖**: Phase 1 +**测试**: 验证缓冲写入、读取、清空 + +--- + +### 3.3 增强记忆注入逻辑 + +**文件**: `pkg/session/memory_manager.go` + +```go +// ShouldInjectMemory 判断是否注入记忆 +func (mm *MemoryManager) ShouldInjectMemory(query string, msgCount int) bool + +// BuildMemoryContextWithStats 构建记忆上下文（增强版） +// 现有方法需要增强：支持 first_round_empty, min_query_length +``` + +修改 `BuildMemoryContextWithStats` 支持配置参数： +- `first_round_empty`: msgCount == 0 时返回空 +- `min_query_length`: len(query) < threshold 时返回空 +- `long_term_trigger`: 检测技术关键词 + +**依赖**: Phase 2 +**测试**: 验证各种注入条件 + +--- + +### 3.4 添加长期记忆写入 + +**文件**: `pkg/session/memory_manager.go` + +```go +// AddLongTermMemoryWithEmbedding 添加长期记忆并生成向量 +func (mm *MemoryManager) AddLongTermMemoryWithEmbedding(content, memoryType string, tags []string, confidence float64) error + +// UpdateLongTermMemory 更新长期记忆 +func (mm *MemoryManager) UpdateLongTermMemory(id int64, updates map[string]interface{}) error +``` + +**依赖**: Phase 1 +**测试**: 验证写入 + 向量生成 + +--- + +## Phase 4: MemoryExtractorAgent（第 3-4 天） + +### 4.1 创建 Agent Prompt 文件 + +**文件**: `~/.orca/agents/memory_extractor.md` + +内容来自设计文档，需要安装到用户目录。 + +**文件**: `pkg/actor/memory_extractor_prompt.go`（内嵌默认 prompt，作为 fallback） + +```go +package actor + +const DefaultMemoryExtractorPrompt = `...` +``` + +**依赖**: 无 +**测试**: 验证 prompt 加载 + +--- + +### 4.2 实现 MemoryExtractorAgent + +**文件**: `pkg/actor/memory_extractor_agent.go` + +```go +package actor + +type MemoryExtractorAgent struct { + *SubAgent + config MemoryAgentConfig +} + +// NewMemoryExtractorAgent 创建提取 Agent +func NewMemoryExtractorAgent(id string, llmBackend llm.LLM, cfg MemoryAgentConfig) (*MemoryExtractorAgent, error) + +// ExtractFacts 从对话中提取事实 +func (mea *MemoryExtractorAgent) ExtractFacts(dialogues []Dialogue) ([]Fact, error) + +// parseFactJSON 解析提取结果 +func parseFactJSON(content string) ([]Fact, error) +``` + +**类型定义**: +```go +type Dialogue struct { + UserQuery string + AssistantResponse string +} + +type Fact struct { + Content string + Type string // fact/preference/project + Tags []string + Confidence float64 + Replace *string // 被替换的旧事实 +} +``` + +**依赖**: Phase 2, Phase 3 +**测试**: 验证提取逻辑，JSON 解析 + +--- + +### 4.3 集成到 Kernel + +**文件**: `pkg/kernel/kernel.go` + +在 Kernel 初始化时创建 MemoryExtractorAgent： + +```go +// 在 NewWithConfig() 中 +if cfg.MemoryAgent.Enabled { + kernel.memoryExtractor, err = actor.NewMemoryExtractorAgent( + "memory_extractor", + kernel.llmBackend, + cfg.MemoryAgent, + ) +} +``` + +**依赖**: 4.2 +**测试**: 验证 Kernel 启动 + +--- + +## Phase 5: LLMAgent 集成（第 4-5 天） + +### 5.1 修改 buildLLMMessages + +**文件**: `pkg/actor/llm_agent.go` + +增强 `buildLLMMessages()` 方法： + +```go +func (a *LLMAgent) buildLLMMessages(query string) []llm.Message { + messages := make([]llm.Message, 0) + + // 1. System prompt（原有） + if a.systemPrompt != "" { + messages = append(messages, llm.Message{Role: "system", Content: a.systemPrompt}) + } + + // 2. Tool prompt（原有） + if toolPrompt := a.buildToolPrompt(); toolPrompt != "" { + messages = append(messages, llm.Message{Role: "system", Content: toolPrompt}) + } + + // 3. 记忆注入（增强） + if a.memoryManager != nil { + msgCount := a.sessionMgr.GetMessageCount(a.sessionID) + if a.memoryManager.ShouldInjectMemory(query, msgCount) { + ctx, stats := a.memoryManager.BuildMemoryContextWithStats(a.sessionID, query) + if ctx != "" { + messages = append(messages, llm.Message{Role: "system", Content: ctx}) + log.Printf("[memory] Injected: short=%d, long=%d, tokens=%d", + stats.ShortTermCount, stats.LongTermCount, stats.TotalTokens) + } + } + } + + // 4. 对话历史（原有） + // ... + + return messages +} +``` + +**依赖**: Phase 3 +**测试**: 验证注入条件，Token 预算 + +--- + +### 5.2 修改消息处理流程 + +**文件**: `pkg/actor/llm_agent.go` + +在消息保存后添加记忆维护： + +```go +func (a *LLMAgent) handleUserMessage(ctx context.Context, msg Message) error { + // ... 原有逻辑 ... + + // 保存消息（原有） + a.sessionMgr.SaveMessage(...) + + // 记忆维护（新增） + if a.memoryManager != nil { + a.memoryManager.MaintainSessionMemory(a.sessionID, query, response) + } + + return nil +} +``` + +**依赖**: Phase 3 +**测试**: 验证 STM 生成，缓冲写入 + +--- + +### 5.3 添加异步提取触发 + +**文件**: `pkg/actor/llm_agent.go` 或 `pkg/session/memory_manager.go` + +```go +// triggerExtraction 异步触发事实提取 +func (mm *MemoryManager) triggerExtraction(sessionID string) { + dialogues, _ := mm.GetBufferedDialogues(sessionID, mm.config.Extract.BatchSize) + + go func() { + // 调用 MemoryExtractorAgent + facts, err := mm.extractor.ExtractFacts(dialogues) + if err != nil { + log.Printf("[memory] Extraction failed: %v", err) + return + } + + for _, fact := range facts { + if fact.Confidence >= mm.config.Extract.MinConfidence { + mm.AddLongTermMemoryWithEmbedding(...) + } + } + + mm.ClearBuffer(sessionID) + }() +} +``` + +**依赖**: Phase 4 +**测试**: 验证异步执行，错误处理 + +--- + +## Phase 6: 权重反馈系统（第 5 天） + +### 6.1 记忆引用检测 + +**文件**: `pkg/session/memory_manager.go` + +```go +// DetectMemoryReference 检测 Agent 回复是否引用了某条记忆 +func (mm *MemoryManager) DetectMemoryReference(response string, memories []LongTermMemory) []int64 { + // 简单实现：检查记忆中关键词是否出现在回复中 + // 高级实现：使用 Embedding 相似度 +} +``` + +**依赖**: Phase 3 +**测试**: 验证检测准确率 + +--- + +### 6.2 自动归档任务 + +**文件**: `pkg/session/memory_manager.go` + +```go +// RunMaintenance 运行记忆维护任务 +func (mm *MemoryManager) RunMaintenance() error { + // 1. 归档低权重记忆 + mm.ArchiveLowWeightMemories(mm.config.LongTerm.ArchiveThreshold) + + // 2. 清理过期 STM + mm.Cleanup() + + // 3. 其他维护... +} +``` + +**依赖**: Phase 3 +**测试**: 验证归档逻辑 + +--- + +## Phase 7: CLI 命令（第 5-6 天） + +### 7.1 添加 CLI 命令 + +**文件**: `cmd/orca/main.go` 或新建 `cmd/orca/memory.go` + +```go +// orca memory list +// orca memory search "query" +// orca memory delete +// orca memory clean +// orca memory stats +// orca memory export > backup.json +// orca memory import < backup.json +``` + +**依赖**: Phase 3 +**测试**: 验证命令执行 + +--- + +## Phase 8: 测试与优化（第 6-7 天） + +### 8.1 单元测试 + +| 模块 | 测试项 | 文件 | +|------|--------|------| +| Schema | 表创建、迁移 | `pkg/session/sqlite_store_test.go` | +| Config | TOML 解析 | `internal/config/config_test.go` | +| Weight | 权重计算、归档 | `pkg/session/memory_manager_test.go` | +| Buffer | 缓冲写入、清空 | `pkg/session/memory_manager_test.go` | +| Extractor | 事实提取、JSON 解析 | `pkg/actor/memory_extractor_test.go` | +| Injection | 注入条件、Token 预算 | `pkg/actor/llm_agent_test.go` | + +### 8.2 集成测试 + +```go +// test_memory_system_v2.go +func TestMemorySystemV2(t *testing.T) { + // 1. 创建会话 + // 2. 发送消息（验证 STM 生成） + // 3. 发送 5 条消息（验证 LTM 提取触发） + // 4. 查询长期记忆（验证向量检索） + // 5. 验证权重变化 + // 6. 验证归档逻辑 +} +``` + +### 8.3 性能测试 + +| 指标 | 目标 | 测试方法 | +|------|------|---------| +| 向量检索 | < 100ms | BenchmarkVectorSearch | +| Embedding 缓存 | > 95% 命中 | BenchmarkEmbeddingCache | +| 权重更新 | < 10ms | BenchmarkWeightUpdate | +| 整体延迟 | < 200ms | BenchmarkMemoryInjection | + +--- + +## 依赖图 + +``` +Phase 1 (Schema) + │ + ├──→ Phase 2 (Config) + │ │ + │ ├──→ Phase 3 (MemoryManager) + │ │ │ + │ │ ├──→ Phase 4 (ExtractorAgent) + │ │ │ │ + │ │ │ └──→ Phase 5 (LLMAgent) + │ │ │ + │ │ └──→ Phase 6 (Weight System) + │ │ + │ └──→ Phase 7 (CLI) + │ + └──→ Phase 8 (Test) +``` + +--- + +## 风险与缓解 + +| 风险 | 可能性 | 影响 | 缓解 | +|------|--------|------|------| +| Schema 迁移失败 | 中 | 高 | 备份数据库，测试迁移脚本 | +| MemoryExtractor 幻觉 | 高 | 中 | 高置信度阈值，人工抽查 | +| 权重系统不准确 | 中 | 低 | 提供手动调整 CLI | +| 性能退化 | 低 | 中 | 监控，及时优化索引 | +| 向后兼容 | 中 | 高 | 保留旧配置解析逻辑 | + +--- + +## 验收标准 + +- [ ] 所有新增表创建成功 +- [ ] 配置解析正确，默认值合理 +- [ ] STM 自动生成（每轮对话） +- [ ] LTM 批量提取（每 5 轮） +- [ ] 向量检索正常（语义相似度） +- [ ] 权重自动更新（引用检测） +- [ ] 低权重记忆自动归档 +- [ ] CLI 命令可用 +- [ ] 单元测试覆盖率 > 80% +- [ ] 集成测试通过 +- [ ] 性能指标达标 diff --git a/web-dev.log b/web-dev.log new file mode 100644 index 0000000..2e7196a --- /dev/null +++ b/web-dev.log @@ -0,0 +1,71 @@ + +> web@0.0.0 dev +> vite + + + VITE v8.0.11 ready in 215 ms + + ➜ Local: http://localhost:5173/ + ➜ Network: use --host to expose +19:50:41 [vite] (client) hmr update /src/contexts/WebSocketContext.tsx, /src/index.css +19:50:41 [vite] (client) hmr invalidate /src/contexts/WebSocketContext.tsx Could not Fast Refresh ("useWebSocket" export is incompatible). Learn more at https://github.com/vitejs/vite-plugin-react/tree/main/packages/plugin-react#consistent-components-exports +19:50:41 [vite] (client) hmr update /src/App.tsx, /src/components/Header.tsx, /src/components/ChatPanel.tsx, /src/components/Sidebar.tsx, /src/components/SessionList.tsx +19:52:24 [vite] (client) hmr update /src/components/ChatPanel.tsx, /src/index.css +19:54:20 [vite] (client) hmr update /src/index.css, /src/components/TaskCard.tsx +19:55:32 [vite] (client) hmr update /src/index.css, /src/components/TaskCard.tsx +19:56:24 [vite] (client) hmr update /src/index.css, /src/components/TaskCard.tsx +19:57:09 [vite] (client) hmr update /src/index.css, /src/components/TaskModal.tsx +19:58:18 [vite] (client) hmr update /src/index.css, /src/components/TaskCard.tsx +19:58:41 [vite] (client) hmr update /src/components/ChatPanel.tsx, /src/index.css +19:59:44 [vite] (client) hmr update /src/index.css, /src/components/TaskCard.tsx +20:00:00 [vite] (client) hmr update /src/components/ChatPanel.tsx, /src/index.css +20:00:19 [vite] http proxy error: /api/sessions +AggregateError [ECONNREFUSED]: + at internalConnectMultiple (node:net:1122:18) + at afterConnectMultiple (node:net:1689:7) +20:00:19 [vite] http proxy error: /api/sessions +AggregateError [ECONNREFUSED]: + at internalConnectMultiple (node:net:1122:18) + at afterConnectMultiple (node:net:1689:7) +20:05:13 [vite] (client) hmr update /src/contexts/WebSocketContext.tsx, /src/index.css +20:05:13 [vite] Internal server error: Transform failed with 1 error: + +[PARSE_ERROR] Error: Identifier `currentStreamingContentRef` has already been declared + ╭─[ src/contexts/WebSocketContext.tsx:66:9 ] + │ +  66 │   const currentStreamingContentRef = useRef(""); +  │ ─────────────┬──────────── +  │ ╰────────────── `currentStreamingContentRef` has already been declared here +  │ + 321 │   const currentStreamingContentRef = useRef(currentStreamingContent); +  │ ─────────────┬──────────── +  │ ╰────────────── It can not be redeclared here +─────╯ + + Plugin: vite:oxc + File: /Users/wang/agent_dev/orca.ai/web/src/contexts/WebSocketContext.tsx + at transformWithOxc (file:///Users/wang/agent_dev/orca.ai/web/node_modules/vite/dist/node/chunks/node.js:3340:19) + at TransformPluginContext.transform (file:///Users/wang/agent_dev/orca.ai/web/node_modules/vite/dist/node/chunks/node.js:3408:26) + at EnvironmentPluginContainer.transform (file:///Users/wang/agent_dev/orca.ai/web/node_modules/vite/dist/node/chunks/node.js:30179:51) + at async loadAndTransform (file:///Users/wang/agent_dev/orca.ai/web/node_modules/vite/dist/node/chunks/node.js:24509:26) + at async viteTransformMiddleware (file:///Users/wang/agent_dev/orca.ai/web/node_modules/vite/dist/node/chunks/node.js:24303:20) +20:05:21 [vite] (client) hmr update /src/contexts/WebSocketContext.tsx, /src/index.css +20:05:21 [vite] (client) hmr invalidate /src/contexts/WebSocketContext.tsx Could not Fast Refresh ("useWebSocket" export is incompatible). Learn more at https://github.com/vitejs/vite-plugin-react/tree/main/packages/plugin-react#consistent-components-exports +20:05:21 [vite] (client) hmr update /src/App.tsx, /src/components/Header.tsx, /src/components/ChatPanel.tsx, /src/components/Sidebar.tsx, /src/components/SessionList.tsx +20:05:47 [vite] (client) hmr update /src/contexts/WebSocketContext.tsx, /src/index.css +20:05:47 [vite] (client) hmr invalidate /src/contexts/WebSocketContext.tsx Could not Fast Refresh ("useWebSocket" export is incompatible). Learn more at https://github.com/vitejs/vite-plugin-react/tree/main/packages/plugin-react#consistent-components-exports +20:05:47 [vite] (client) hmr update /src/App.tsx, /src/components/Header.tsx, /src/components/ChatPanel.tsx, /src/components/Sidebar.tsx, /src/components/SessionList.tsx +20:05:55 [vite] (client) hmr update /src/contexts/WebSocketContext.tsx, /src/index.css +20:05:55 [vite] (client) hmr invalidate /src/contexts/WebSocketContext.tsx Could not Fast Refresh ("useWebSocket" export is incompatible). Learn more at https://github.com/vitejs/vite-plugin-react/tree/main/packages/plugin-react#consistent-components-exports +20:05:55 [vite] (client) hmr update /src/App.tsx, /src/components/Header.tsx, /src/components/ChatPanel.tsx, /src/components/Sidebar.tsx, /src/components/SessionList.tsx +20:06:11 [vite] (client) hmr update /src/contexts/WebSocketContext.tsx, /src/index.css +20:06:11 [vite] (client) hmr invalidate /src/contexts/WebSocketContext.tsx Could not Fast Refresh ("useWebSocket" export is incompatible). Learn more at https://github.com/vitejs/vite-plugin-react/tree/main/packages/plugin-react#consistent-components-exports +20:06:11 [vite] (client) hmr update /src/App.tsx, /src/components/Header.tsx, /src/components/ChatPanel.tsx, /src/components/Sidebar.tsx, /src/components/SessionList.tsx +20:06:25 [vite] (client) hmr update /src/contexts/WebSocketContext.tsx, /src/index.css +20:06:25 [vite] (client) hmr invalidate /src/contexts/WebSocketContext.tsx Could not Fast Refresh ("useWebSocket" export is incompatible). Learn more at https://github.com/vitejs/vite-plugin-react/tree/main/packages/plugin-react#consistent-components-exports +20:06:25 [vite] (client) hmr update /src/App.tsx, /src/components/Header.tsx, /src/components/ChatPanel.tsx, /src/components/Sidebar.tsx, /src/components/SessionList.tsx +20:06:40 [vite] (client) hmr update /src/contexts/WebSocketContext.tsx, /src/index.css +20:06:41 [vite] (client) hmr invalidate /src/contexts/WebSocketContext.tsx Could not Fast Refresh ("useWebSocket" export is incompatible). Learn more at https://github.com/vitejs/vite-plugin-react/tree/main/packages/plugin-react#consistent-components-exports +20:06:41 [vite] (client) hmr update /src/App.tsx, /src/components/Header.tsx, /src/components/ChatPanel.tsx, /src/components/Sidebar.tsx, /src/components/SessionList.tsx +20:10:11 [vite] (client) hmr update /src/contexts/WebSocketContext.tsx, /src/index.css +20:14:41 [vite] (client) hmr update /src/contexts/WebSocketContext.tsx, /src/index.css diff --git a/web-server.log b/web-server.log new file mode 100644 index 0000000..0a4188c --- /dev/null +++ b/web-server.log @@ -0,0 +1,12 @@ +2026/05/10 18:19:53 kernel: created DeepSeek client (model=deepseek-v4-flash) +2026/05/10 18:19:53 kernel: created sub-agent "architect" from /Users/wang/.orca/prompts/architect.md +2026/05/10 18:19:53 kernel: created sub-agent "calculator" from /Users/wang/.orca/prompts/calculator.md +2026/05/10 18:19:53 kernel: created sub-agent "coder" from /Users/wang/.orca/prompts/coder.md +2026/05/10 18:19:53 kernel: created sub-agent "reviewer" from /Users/wang/.orca/prompts/reviewer.md +2026/05/10 18:19:53 kernel: created 4 sub-agents +2026/05/10 18:19:53 kernel: started (tools=6) +2026/05/10 18:19:53 kernel: warning: skill loading had errors: skill: loaded 8 skills with 1 errors: art-design-pro: skill: "/Users/wang/.agents/skills/art-design-pro/SKILL.md" is missing 'name' in frontmatter +2026/05/10 18:19:53 kernel: loaded 8 skills +Starting web server on http://localhost:8081 +2026/05/10 18:19:53 WebSocket server starting on http://localhost:8081 +2026/05/10 18:20:21 WebSocket error: websocket: close 1005 (no status) diff --git a/web/.gitignore b/web/.gitignore new file mode 100644 index 0000000..a547bf3 --- /dev/null +++ b/web/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/web/README.md b/web/README.md new file mode 100644 index 0000000..7dbf7eb --- /dev/null +++ b/web/README.md @@ -0,0 +1,73 @@ +# React + TypeScript + Vite + +This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules. + +Currently, two official plugins are available: + +- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Oxc](https://oxc.rs) +- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) + +## React Compiler + +The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation). + +## Expanding the ESLint configuration + +If you are developing a production application, we recommend updating the configuration to enable type-aware lint rules: + +```js +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{ts,tsx}'], + extends: [ + // Other configs... + + // Remove tseslint.configs.recommended and replace with this + tseslint.configs.recommendedTypeChecked, + // Alternatively, use this for stricter rules + tseslint.configs.strictTypeChecked, + // Optionally, add this for stylistic rules + tseslint.configs.stylisticTypeChecked, + + // Other configs... + ], + languageOptions: { + parserOptions: { + project: ['./tsconfig.node.json', './tsconfig.app.json'], + tsconfigRootDir: import.meta.dirname, + }, + // other options... + }, + }, +]) +``` + +You can also install [eslint-plugin-react-x](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-x) and [eslint-plugin-react-dom](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-dom) for React-specific lint rules: + +```js +// eslint.config.js +import reactX from 'eslint-plugin-react-x' +import reactDom from 'eslint-plugin-react-dom' + +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{ts,tsx}'], + extends: [ + // Other configs... + // Enable lint rules for React + reactX.configs['recommended-typescript'], + // Enable lint rules for React DOM + reactDom.configs.recommended, + ], + languageOptions: { + parserOptions: { + project: ['./tsconfig.node.json', './tsconfig.app.json'], + tsconfigRootDir: import.meta.dirname, + }, + // other options... + }, + }, +]) +``` diff --git a/web/eslint.config.js b/web/eslint.config.js new file mode 100644 index 0000000..ef614d2 --- /dev/null +++ b/web/eslint.config.js @@ -0,0 +1,22 @@ +import js from '@eslint/js' +import globals from 'globals' +import reactHooks from 'eslint-plugin-react-hooks' +import reactRefresh from 'eslint-plugin-react-refresh' +import tseslint from 'typescript-eslint' +import { defineConfig, globalIgnores } from 'eslint/config' + +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{ts,tsx}'], + extends: [ + js.configs.recommended, + tseslint.configs.recommended, + reactHooks.configs.flat.recommended, + reactRefresh.configs.vite, + ], + languageOptions: { + globals: globals.browser, + }, + }, +]) diff --git a/web/index.html b/web/index.html new file mode 100644 index 0000000..b516fe7 --- /dev/null +++ b/web/index.html @@ -0,0 +1,13 @@ + + + + + + + orca.agent + + +
+ + + diff --git a/web/package-lock.json b/web/package-lock.json new file mode 100644 index 0000000..82026da --- /dev/null +++ b/web/package-lock.json @@ -0,0 +1,4785 @@ +{ + "name": "web", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "web", + "version": "0.0.0", + "dependencies": { + "@tailwindcss/postcss": "^4.3.0", + "@types/react-syntax-highlighter": "^15.5.13", + "class-variance-authority": "^0.7.1", + "clsx": "^2.1.1", + "lucide-react": "^1.14.0", + "react": "^19.2.5", + "react-dom": "^19.2.5", + "react-markdown": "^10.1.0", + "react-syntax-highlighter": "^16.1.1", + "remark-gfm": "^4.0.1", + "tailwind-merge": "^3.5.0", + "tailwindcss-animate": "^1.0.7" + }, + "devDependencies": { + "@eslint/js": "^10.0.1", + "@types/node": "^24.12.2", + "@types/react": "^19.2.14", + "@types/react-dom": "^19.2.3", + "@vitejs/plugin-react": "^6.0.1", + "autoprefixer": "^10.5.0", + "eslint": "^10.2.1", + "eslint-plugin-react-hooks": "^7.1.1", + 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+1,5 @@ +export default { + plugins: { + "@tailwindcss/postcss": {}, + }, +} \ No newline at end of file diff --git a/web/public/favicon.svg b/web/public/favicon.svg new file mode 100644 index 0000000..6893eb1 --- /dev/null +++ b/web/public/favicon.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/web/public/icons.svg b/web/public/icons.svg new file mode 100644 index 0000000..e952219 --- /dev/null +++ b/web/public/icons.svg @@ -0,0 +1,24 @@ + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/web/src/App.css b/web/src/App.css new file mode 100644 index 0000000..f90339d --- /dev/null +++ b/web/src/App.css @@ -0,0 +1,184 @@ +.counter { + font-size: 16px; + padding: 5px 10px; + border-radius: 5px; + color: var(--accent); + background: var(--accent-bg); + border: 2px solid transparent; + transition: border-color 0.3s; + margin-bottom: 24px; + + &:hover { + border-color: var(--accent-border); + } + &:focus-visible { + outline: 2px solid var(--accent); + outline-offset: 2px; + } +} + +.hero { + position: relative; + + .base, + .framework, + .vite { + inset-inline: 0; + margin: 0 auto; + } + + .base { + width: 170px; + position: relative; + z-index: 0; + } + + .framework, + .vite { + position: absolute; + } + + .framework { + z-index: 1; + top: 34px; + height: 28px; + transform: perspective(2000px) rotateZ(300deg) rotateX(44deg) rotateY(39deg) + scale(1.4); + } + + .vite { + z-index: 0; + top: 107px; + height: 26px; + width: auto; + transform: perspective(2000px) rotateZ(300deg) rotateX(40deg) rotateY(39deg) + scale(0.8); + } +} + +#center { + display: flex; + flex-direction: column; + gap: 25px; + place-content: center; + place-items: center; + flex-grow: 1; + + @media (max-width: 1024px) { + padding: 32px 20px 24px; + gap: 18px; + } +} + +#next-steps { + display: flex; + border-top: 1px solid var(--border); + text-align: left; + + & > div { + flex: 1 1 0; + padding: 32px; + @media (max-width: 1024px) { + padding: 24px 20px; + } + } + + .icon { + margin-bottom: 16px; + width: 22px; + height: 22px; + } + + @media (max-width: 1024px) { + flex-direction: column; + text-align: center; + } +} + +#docs { + border-right: 1px solid var(--border); + + @media (max-width: 1024px) { + border-right: none; + border-bottom: 1px solid var(--border); + } +} + +#next-steps ul { + list-style: none; + padding: 0; + display: flex; + gap: 8px; + margin: 32px 0 0; + + .logo { + height: 18px; + } + + a { + color: var(--text-h); + font-size: 16px; + border-radius: 6px; + background: var(--social-bg); + display: flex; + padding: 6px 12px; + align-items: center; + gap: 8px; + text-decoration: none; + transition: box-shadow 0.3s; + + &:hover { + box-shadow: var(--shadow); + } + .button-icon { + height: 18px; + width: 18px; + } + } + + @media (max-width: 1024px) { + margin-top: 20px; + flex-wrap: wrap; + justify-content: center; + + li { + flex: 1 1 calc(50% - 8px); + } + + a { + width: 100%; + justify-content: center; + box-sizing: border-box; + } + } +} + +#spacer { + height: 88px; + border-top: 1px solid var(--border); + @media (max-width: 1024px) { + height: 48px; + } +} + +.ticks { + position: relative; + width: 100%; + + &::before, + &::after { + content: ''; + position: absolute; + top: -4.5px; + border: 5px solid transparent; + } + + &::before { + left: 0; + border-left-color: var(--border); + } + &::after { + right: 0; + border-right-color: var(--border); + } +} diff --git a/web/src/App.tsx b/web/src/App.tsx new file mode 100644 index 0000000..c3d6635 --- /dev/null +++ b/web/src/App.tsx @@ -0,0 +1,43 @@ +import { useState, useEffect } from "react"; +import { WebSocketProvider } from "./contexts/WebSocketContext"; +import { Header } from "./components/Header"; +import { ChatPanel } from "./components/ChatPanel"; +import { Sidebar } from "./components/Sidebar"; + +function App() { + const [isDarkMode, setIsDarkMode] = useState(() => { + const saved = localStorage.getItem("orca-theme"); + if (saved) return saved === "dark"; + return window.matchMedia("(prefers-color-scheme: dark)").matches; + }); + + useEffect(() => { + if (isDarkMode) { + document.documentElement.classList.add("dark"); + localStorage.setItem("orca-theme", "dark"); + } else { + document.documentElement.classList.remove("dark"); + localStorage.setItem("orca-theme", "light"); + } + }, [isDarkMode]); + + const toggleTheme = () => { + setIsDarkMode(!isDarkMode); + }; + + return ( + +
+
+
+
+ +
+ +
+
+ + ); +} + +export default App; diff --git a/web/src/assets/hero.png b/web/src/assets/hero.png new file mode 100644 index 0000000..02251f4 Binary files /dev/null and b/web/src/assets/hero.png differ diff --git a/web/src/assets/react.svg b/web/src/assets/react.svg new file mode 100644 index 0000000..6c87de9 --- /dev/null +++ b/web/src/assets/react.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/web/src/assets/vite.svg b/web/src/assets/vite.svg new file mode 100644 index 0000000..5101b67 --- /dev/null +++ b/web/src/assets/vite.svg @@ -0,0 +1 @@ +Vite diff --git a/web/src/components/ChatPanel.tsx b/web/src/components/ChatPanel.tsx new file mode 100644 index 0000000..452fd4a --- /dev/null +++ b/web/src/components/ChatPanel.tsx @@ -0,0 +1,246 @@ +import React, { useRef, useEffect, useState } from "react"; +import { Send, User, AlertCircle, Loader2 } from "lucide-react"; +import { useWebSocket } from "../contexts/WebSocketContext"; +import type { Task } from "../contexts/WebSocketContext"; +import { StreamingMarkdown } from "./StreamingMarkdown"; +import { TaskCard } from "./TaskCard"; +import { TaskModal } from "./TaskModal"; + +interface ContentPart { + type: "text" | "agent_call"; + content: string; + agent?: string; + task?: string; +} + +function parseMessageContent(text: string): ContentPart[] { + const parts: ContentPart[] = []; + let lastIndex = 0; + + const arrayRegex = /(\[\s*\{[\s\S]*?"tool"\s*:\s*"agent_call"[\s\S]*?\}\s*\])/g; + let match; + + while ((match = arrayRegex.exec(text)) !== null) { + if (match.index > lastIndex) { + parts.push({ type: "text", content: text.slice(lastIndex, match.index) }); + } + + try { + const arr = JSON.parse(match[1]); + if (Array.isArray(arr)) { + for (const item of arr) { + if (item.tool === "agent_call" && item.arguments) { + parts.push({ + type: "agent_call", + content: match[1], + agent: item.arguments.agent || "unknown", + task: item.arguments.task || item.arguments.prompt || "执行任务", + }); + } + } + } + } catch { + parts.push({ type: "text", content: match[0] }); + } + + lastIndex = match.index + match[0].length; + } + + if (lastIndex < text.length) { + parts.push({ type: "text", content: text.slice(lastIndex) }); + } + + if (parts.length === 0) { + parts.push({ type: "text", content: text }); + } + + return parts; +} + +function findTaskForAgentCall(tasks: Task[], agent: string, taskDesc: string): Task | undefined { + return tasks.find( + (t) => + t.agent === agent && + (t.task === taskDesc || taskDesc.includes(t.task) || t.task.includes(taskDesc)) + ); +} + +export const ChatPanel: React.FC = () => { + const { messages, isLoading, sendMessage, currentStreamingContent, tasks } = useWebSocket(); + const [selectedTask, setSelectedTask] = useState(null); + const scrollRef = useRef(null); + const inputRef = useRef(null); + + useEffect(() => { + if (scrollRef.current) { + scrollRef.current.scrollTop = scrollRef.current.scrollHeight; + } + }, [messages, currentStreamingContent]); + + const handleSubmit = (e: React.FormEvent) => { + e.preventDefault(); + const value = inputRef.current?.value || ""; + if (!value.trim() || isLoading) return; + sendMessage(value.trim()); + if (inputRef.current) { + inputRef.current.value = ""; + } + }; + + const handleKeyDown = (e: React.KeyboardEvent) => { + if (e.key === "Enter" && !e.shiftKey) { + e.preventDefault(); + handleSubmit(e); + } + }; + + const streamingMessage = isLoading + ? { + id: "streaming", + role: "assistant" as const, + content: currentStreamingContent, + timestamp: Date.now(), + agent: undefined, + } + : null; + + const displayMessages = streamingMessage + ? [...messages, streamingMessage] + : messages; + + const renderMessageContent = (content: string, isStreaming: boolean) => { + const parts = parseMessageContent(content); + + return ( +
+ {parts.map((part, idx) => { + if (part.type === "agent_call" && part.agent && part.task) { + const task = findTaskForAgentCall(tasks, part.agent, part.task); + return ( + + task + ? setSelectedTask(task) + : setSelectedTask({ + id: `inline-${idx}`, + agent: part.agent || "unknown", + task: part.task || "", + status: "completed", + content: part.content || "", + startTime: Date.now(), + }) + } + /> + ); + } else { + return ( + + ); + } + })} +
+ ); + }; + + return ( +
+
+ {displayMessages.length === 0 && ( +
+
+

开始与 agent 对话

+
+
+ )} + +
+
+ {displayMessages.map((msg) => ( +
+
+ {msg.role === "user" ? ( + <> + + You + + ) : msg.role === "system" ? ( + <> + + System + + ) : ( + <> +
+ AI +
+ + {msg.agent || "Assistant"} + + + )} +
+ +
+ {msg.role === "assistant" && msg.id === "streaming" ? ( + msg.content.trim().length > 0 ? ( + renderMessageContent(msg.content, true) + ) : ( +
+ + AI 正在思考... +
+ ) + ) : msg.role === "assistant" ? ( + renderMessageContent(msg.content, false) + ) : ( +

{msg.content}

+ )} +
+
+ ))} +
+
+
+ +
+
+