diff --git a/CLAUDE.md b/CLAUDE.md index 3a09af7..b1e48d9 100755 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -1,106 +1,229 @@ -dashboard-app-template +# CLAUDE.md + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + +compass === -a Next.js 15 dashboard template deployed to Cloudflare Workers via OpenNext. +a construction project management system built with Next.js 15 + React 19, designed to replace BuilderTrend with a lean, self-hosted, open-source alternative. deployed to Cloudflare Workers via OpenNext. + +quick start +--- + +```bash +bun dev # turbopack dev server on :3000 +bun run build # production build +bun preview # test build on cloudflare runtime +bun deploy # build and deploy to cloudflare workers +bun lint # run eslint +``` + +database commands: +```bash +bun run db:generate # generate drizzle migrations from schema +bun run db:migrate:local # apply migrations locally +bun run db:migrate:prod # apply migrations to production D1 +``` tech stack --- -- Next.js 15.5 with Turbopack -- React 19 -- Tailwind CSS v4 -- shadcn/ui (new-york style) -- Recharts for data visualization -- Cloudflare Workers (via @opennextjs/cloudflare) +| layer | tech | +|-------|------| +| framework | Next.js 15 App Router, React 19 | +| language | TypeScript 5.x | +| ui | shadcn/ui (new-york style), Tailwind CSS v4 | +| charts | Recharts | +| database | Cloudflare D1 (SQLite) via Drizzle ORM | +| auth | WorkOS (SSO, directory sync) | +| ai agent | AI SDK v6 + OpenRouter (kimi-k2.5 model) | +| integrations | NetSuite REST API | +| state | React Context, server actions | -commands + +critical architecture patterns --- -- `bun dev` - start dev server (turbopack) -- `bun build` - production build -- `bun preview` - build and preview on cloudflare runtime -- `bun deploy` - build and deploy to cloudflare -- `bun lint` - run eslint +### server actions & data flow +- all data mutations go through server actions in `src/app/actions/` +- pattern: `return { success: true } | { success: false; error: string }` +- server actions revalidate paths with `revalidatePath()` to update client +- no fetch() in components - use actions instead +- environment variables accessed via `getCloudflareContext()` → `env.DB` for D1 + +### database +- schema split across `src/db/schema.ts` (core) and `src/db/schema-netsuite.ts` (integration) +- drizzle ORM with D1 (SQLite dialect) +- text IDs (UUIDs), text dates (ISO 8601 format) +- migrations in `drizzle/` directory - **add new migrations, never modify old ones** + +### authentication & middleware +- WorkOS handles SSO, email/password, directory sync +- middleware in `src/middleware.ts` checks session and redirects unauthenticated users to `/login` +- public paths: `/`, `/login`, `/signup`, `/reset-password`, `/verify-email`, `/invite`, `/callback`, `/api/auth/*`, `/api/netsuite/*` +- `getCurrentUser()` from `lib/auth.ts` returns user info with database lookup fallback + +### ai agent harness +- located in `src/lib/agent/` - a complete AI-assisted system + - `provider.ts`: OpenRouter setup for kimi-k2.5 model + - `tools.ts`: queryData, navigateTo, showNotification, renderComponent tools + - `system-prompt.ts`: dynamic prompt builder with page/user context + - `catalog.ts`: component specs for DynamicUI rendering + - `chat-adapter.ts`: re-exports useChat hook + action handlers +- `src/app/api/agent/route.ts`: streamText endpoint with 10-step multi-tool loop +- `src/app/actions/agent.ts`: D1 persistence (save/load/delete conversations) +- components: `src/components/agent/chat-panel.tsx` (side panel), `src/components/dashboard-chat.tsx` (inline) +- ai sdk v6 gotchas: + - `inputSchema` not `parameters` for tool() definitions + - UIMessage uses `parts` array, no `.content` field + - useChat: `sendMessage({ text })` not `append({ role, content })` + - useChat: `status` is "streaming"|"submitted"|"ready"|"error", not `isGenerating` + - zod schemas must use `import { z } from "zod/v4"` to match AI SDK internals + +### netsuite integration +- full bidirectional sync via REST API +- key files in `src/lib/netsuite/`: + - `config.ts`: account setup, URL builders + - `auth/`: oauth 2.0 flow, token manager, AES-GCM encryption + - `client/`: base HTTP client (retry, circuit breaker), record client, suiteql client + - `rate-limiter/`: semaphore-based concurrency limiter (15 concurrent default) + - `sync/`: sync engine, delta sync, conflict resolver, push logic, idempotency + - `mappers/`: customer, vendor, project, invoice, vendor-bill mappers +- env vars: NETSUITE_CLIENT_ID, NETSUITE_CLIENT_SECRET, NETSUITE_ACCOUNT_ID, NETSUITE_REDIRECT_URI, NETSUITE_TOKEN_ENCRYPTION_KEY, NETSUITE_CONCURRENCY_LIMIT +- gotchas: + - 401 errors can mean timeout, not auth failure + - "field doesn't exist" often means permission denied + - 15 concurrent request limit shared across ALL integrations + - no batch create/update via REST (single record per request) + - sandbox URLs use different separators (123456-sb1 vs 123456_SB1) + - omitting "line" param on line items adds new line (doesn't update) + +### typescript discipline +- strict types: no `any`, no `as`, no `!` - use `unknown` with proper narrowing +- discriminated unions over optional properties: `{ status: 'ok'; data: T } | { status: 'error'; error: E }` +- `readonly` everywhere mutation isn't intended: `ReadonlyArray`, `Readonly>` +- no `enum` - use `as const` objects or union types instead +- branded types for primitive identifiers to prevent mixing up IDs of different types +- explicit return types on all exported functions +- result types over exceptions: return `{ success: true } | { success: false; error }` from actions +- effect-free module scope: no `console.log`, `fetch`, or mutations during import project structure --- ``` src/ -├── app/ # Next.js app router -│ ├── dashboard/ # dashboard routes -│ ├── globals.css # tailwind + theme variables -│ ├── layout.tsx # root layout -│ └── page.tsx # home page -├── components/ -│ ├── ui/ # shadcn/ui primitives -│ └── *.tsx # app-specific components (sidebar, charts, tables) -├── hooks/ # custom react hooks -└── lib/ - └── utils.ts # cn() helper for class merging +├── app/ # next.js app router +│ ├── (auth)/ # auth pages (login, signup, etc) +│ ├── api/ # api routes (server actions, agent, webhooks) +│ ├── dashboard/ # protected dashboard routes +│ ├── actions/ # server actions (data mutations) +│ ├── globals.css # tailwind + theme variables +│ ├── layout.tsx # root layout +│ ├── middleware.ts # auth + public path checks +│ └── page.tsx # home page +├── components/ # react components +│ ├── ui/ # shadcn/ui primitives (auto-generated) +│ ├── agent/ # ai chat components +│ ├── netsuite/ # netsuite connection ui +│ └── *.tsx # app-specific components +├── db/ +│ ├── index.ts # getDb() function +│ ├── schema.ts # core drizzle schema +│ └── schema-netsuite.ts # netsuite-specific tables +├── hooks/ # custom react hooks +├── lib/ +│ ├── agent/ # ai agent harness +│ ├── netsuite/ # netsuite integration +│ ├── auth.ts # workos integration +│ ├── permissions.ts # rbac checks +│ ├── utils.ts # cn() for class merging +│ └── validations/ # zod schemas +└── types/ # global typescript types + +drizzle/ # database migrations (auto-generated) +docs/ # user documentation +public/ # static assets +wrangler.jsonc # cloudflare workers config +drizzle.config.ts # drizzle orm config +next.config.ts # next.js config +tsconfig.json # typescript config ``` -shadcn/ui +component conventions --- -uses shadcn/ui with new-york style. add components via: +shadcn/ui setup: +- new-york style +- add components: `bunx shadcn@latest add ` +- aliases: `@/components`, `@/components/ui`, `@/lib`, `@/hooks` -```bash -bunx shadcn@latest add +ui patterns: +- use `cn()` from `@/lib/utils.ts` for conditional classes +- form validation via react-hook-form + zod +- animations via framer-motion or tailwind css +- icons from lucide-react or @tabler/icons-react (both configured with package import optimization) +- data tables via tanstack/react-table + +environment variables +--- + +dev: `.dev.vars` (gitignored) +prod: cloudflare dashboard secrets + +required: +- WORKOS_API_KEY, WORKOS_CLIENT_ID +- OPENROUTER_API_KEY (for ai agent) +- NETSUITE_* (if using netsuite sync) + +development tips +--- + +### accessing database in actions +```typescript +import { getCloudflareContext } from "@opennextjs/cloudflare" +const { env } = await getCloudflareContext() +const db = env.DB // D1 binding ``` -config in `components.json`. aliases: -- `@/components` -> src/components -- `@/components/ui` -> src/components/ui -- `@/lib` -> src/lib -- `@/hooks` -> src/hooks +### using getCurrentUser() in actions +```typescript +import { getCurrentUser } from "@/lib/auth" +const user = await getCurrentUser() +if (!user) throw new Error("Not authenticated") +``` -cloudflare deployment +### revalidating paths after mutations +```typescript +import { revalidatePath } from "next/cache" +// after changing data +revalidatePath("/dashboard/projects") // specific path +revalidatePath("/", "layout") // entire layout +``` + +### querying data in components +- server components can use `getDb()` directly +- client components must call server actions +- never `fetch()` from client components - use actions + +### type guards for discriminated unions +don't use `as` - write proper type guards: +```typescript +function isError(result: { success: boolean; error?: E }): result is { success: false; error: E } { + return !result.success && result.error !== undefined +} +``` + +known issues & WIP --- -configured in `wrangler.jsonc`. uses OpenNext for Next.js compatibility. +- gantt chart vertical panning: zoom/horizontal pan work, but vertical pan conflicts with frappe-gantt container sizing. needs transform-based rendering approach with fixed header. -env vars go in `.dev.vars` (local) or cloudflare dashboard (prod). - -key bindings: -- `ASSETS` - static asset serving -- `IMAGES` - cloudflare image optimization -- `WORKER_SELF_REFERENCE` - self-reference for caching - -known issues (WIP) +open source contribution notes --- -- gantt chart pan/zoom: zoom controls (+/-) and ctrl+scroll work. pan mode - toggle (pointer/grab) exists but vertical panning does not work correctly - yet - the scroll-based approach conflicts with how frappe-gantt sizes its - container. horizontal panning works. needs a different approach for - vertical navigation (possibly a custom viewport with transform-based - rendering for the body while keeping the header fixed separately). - -coding style ---- - -strict typescript discipline: - -- `readonly` everywhere mutation isn't intended. `ReadonlyArray`, - `Readonly>`, deep readonly wrappers. write `DeepReadonly` - utilities when needed -- discriminated unions over optional properties. `{ status: 'ok'; data: T } | - { status: 'error'; error: Error }` instead of `{ status: string; error?: - Error; data?: T }`. makes impossible states unrepresentable -- no `enum`. use `as const` objects or union types instead. enums have quirks, - especially numeric ones with reverse mappings -- branded/opaque types for primitive identifiers. `type UserId = string & - { readonly __brand: unique symbol }` prevents mixing up `PostId` and `UserId` -- no `any`, no `as`, no `!` - genuinely zero. use `unknown` with proper - narrowing. write type guards instead of assertions -- explicit return types on all exported functions. don't rely on inference for - public APIs. catches accidental changes, improves compile speed -- effect-free module scope. no side effects at top level (no `console.log`, - `fetch`, mutations during import). everything meaningful happens in - explicitly called functions -- result types over thrown exceptions. return `Result` or `Either` - instead of throwing. makes error handling visible in type signatures - -these trade short-term convenience for long-term correctness. the strict -version is always better even when the permissive version works right now. +- repo at github.com/High-Performance-Structures/compass (private, invite-only) +- branching: `/` off main +- conventional commits: `type(scope): subject` +- PRs are squash-merged to main +- deployment to cloudflare is manual via `bun deploy` diff --git a/bun.lock b/bun.lock index 6820e0b..5a64786 100755 --- a/bun.lock +++ b/bun.lock @@ -45,7 +45,8 @@ "@tanstack/react-table": "^8.21.3", "@workos-inc/authkit-nextjs": "^2.13.0", "@workos-inc/node": "^8.1.0", - "ai": "^6.0.72", + "@xyflow/react": "^12.10.0", + "ai": "^6.0.73", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "cmdk": "^1.1.1", @@ -56,6 +57,7 @@ "frappe-gantt": "^1.0.4", "input-otp": "^1.4.2", "lucide-react": "^0.563.0", + "motion": "^12.33.0", "nanoid": "^5.1.6", "next": "15.5.9", "next-themes": "^0.4.6", @@ -69,10 +71,13 @@ "recharts": "2.15.4", "remark-gfm": "4", "remeda": "2", - "shiki": "1", + "shiki": "^3.22.0", "sonner": "^2.0.7", + "streamdown": 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"sha512-G3kc34H2cX2gI63RqU+cZq+zWRRPSsNIOjpdl9TN4AQwC4sgwYPl/Q/Obf/d53nOm569T0fYK+tcoSV50BWx8A=="], + "next/postcss/nanoid": ["nanoid@3.3.11", "", { "bin": { "nanoid": "bin/nanoid.cjs" } }, "sha512-N8SpfPUnUp1bK+PMYW8qSWdl9U+wwNWI4QKxOYDy9JAro3WMX7p2OeVRF9v+347pnakNevPmiHhNmZ2HbFA76w=="], "string-width/strip-ansi/ansi-regex": ["ansi-regex@6.2.2", "", {}, "sha512-Bq3SmSpyFHaWjPk8If9yc6svM8c56dB5BAtW4Qbw5jHTwwXXcTLoRMkpDJp6VL0XzlWaCHTXrkFURMYmD0sLqg=="], diff --git a/cloudflare-env.d.ts b/cloudflare-env.d.ts index 1209fec..4b216e8 100755 --- a/cloudflare-env.d.ts +++ b/cloudflare-env.d.ts @@ -1,15 +1,39 @@ /* eslint-disable */ -// Generated by Wrangler by running `wrangler types --env-interface CloudflareEnv ./cloudflare-env.d.ts` (hash: 17faa1ab93062fdc4d6b4055bea03b00) +// Generated by Wrangler by running `wrangler types --env-interface CloudflareEnv ./cloudflare-env.d.ts` (hash: a8a217f5bbba5adbbc3687588e1c29b7) // Runtime types generated with workerd@1.20260116.0 2025-12-01 global_fetch_strictly_public,nodejs_compat declare namespace Cloudflare { + interface GlobalProps { + mainModule: typeof import("./.open-next/worker"); + } interface Env { + WORKOS_REDIRECT_URI: "https://compass.openrangeconstruction.ltd/callback"; + WORKOS_API_KEY: string; + WORKOS_CLIENT_ID: string; + WORKOS_COOKIE_PASSWORD: string; + NEXT_PUBLIC_WORKOS_REDIRECT_URI: string; + NETSUITE_ACCOUNT_ID: string; + NETSUITE_CLIENT_ID: string; + NETSUITE_CLIENT_SECRET: string; + NETSUITE_REDIRECT_URI: string; + NETSUITE_TOKEN_ENCRYPTION_KEY: string; + NETSUITE_CONCURRENCY_LIMIT: string; + GITHUB_TOKEN: string; + GITHUB_REPO: string; + OPENROUTER_API_KEY: string; DB: D1Database; - WORKER_SELF_REFERENCE: Fetcher /* compass */; + WORKER_SELF_REFERENCE: Service; + AI: Ai; IMAGES: ImagesBinding; ASSETS: Fetcher; } } interface CloudflareEnv extends Cloudflare.Env {} +type StringifyValues> = { + [Binding in keyof EnvType]: EnvType[Binding] extends string ? EnvType[Binding] : string; +}; +declare namespace NodeJS { + interface ProcessEnv extends StringifyValues> {} +} // Begin runtime types /*! ***************************************************************************** diff --git a/docs/AUTH-IMPLEMENTATION.md b/docs/auth/AUTH-IMPLEMENTATION.md similarity index 100% rename from docs/AUTH-IMPLEMENTATION.md rename to docs/auth/AUTH-IMPLEMENTATION.md diff --git a/docs/PEOPLE-SYSTEM-STATUS.md b/docs/auth/PEOPLE-SYSTEM-STATUS.md similarity index 100% rename from docs/PEOPLE-SYSTEM-STATUS.md rename to docs/auth/PEOPLE-SYSTEM-STATUS.md diff --git a/docs/RATE-LIMITING.md b/docs/auth/RATE-LIMITING.md similarity index 100% rename from docs/RATE-LIMITING.md rename to docs/auth/RATE-LIMITING.md diff --git a/docs/ai-chat-panel.md b/docs/chat/ai-chat-panel.md similarity index 100% rename from docs/ai-chat-panel.md rename to docs/chat/ai-chat-panel.md diff --git a/docs/openclaw-principles/MEMORY-SYSTEM.md b/docs/openclaw-principles/MEMORY-SYSTEM.md new file mode 100755 index 0000000..15503b2 --- /dev/null +++ b/docs/openclaw-principles/MEMORY-SYSTEM.md @@ -0,0 +1,190 @@ +OpenClaw Memory System +=== + +how OpenClaw gives its agents persistent memory across sessions. covers the embedding pipeline, the SQLite schema that stores indexed chunks, the hybrid search strategy that combines vector similarity with keyword matching, and the pre-compaction memory flush that prevents the agent from losing important context when the conversation window fills up. + +the central idea is that plain markdown files on disk are the source of truth. everything else — embeddings, indexes, caches — is derived and disposable. if you delete the SQLite database, the system rebuilds it from the markdown. if you edit a memory file by hand, the next sync picks up the changes. this is a deliberate choice: it keeps the system inspectable, Git-friendly, and resilient to corruption in a way that an opaque database wouldn't be. + + +the storage schema +--- + +memory lives in a single SQLite database per agent at `~/.openclaw/memory/.sqlite`. the schema has four tables, each serving a distinct purpose. + +**meta** stores a single JSON blob under the key `memory_index_meta_v1`. this records the embedding provider, model, provider key, chunk size, chunk overlap, and vector dimensions that were used to build the current index. the reason this exists is that embeddings from different models aren't comparable — you can't mix OpenAI `text-embedding-3-small` vectors with local `embeddinggemma-300M` vectors and get meaningful cosine similarity scores. when the meta changes (because the user switched providers), the system knows the entire index needs rebuilding. + +```sql +CREATE TABLE meta ( + key TEXT PRIMARY KEY, + value TEXT NOT NULL +); +``` + +**files** tracks which markdown files have been indexed, their content hashes, modification times, and sizes. the hash is SHA-256 of the file content. during sync, each file's current hash is compared against the stored hash — if they match, the file is skipped. this is what makes incremental indexing fast: unchanged files cost nothing. + +```sql +CREATE TABLE files ( + path TEXT PRIMARY KEY, + source TEXT NOT NULL DEFAULT 'memory', + hash TEXT NOT NULL, + mtime INTEGER NOT NULL, + size INTEGER NOT NULL +); +``` + +the `source` column distinguishes between `"memory"` (files from the workspace memory directory) and `"sessions"` (indexed session transcripts, an experimental feature). this matters during search because the agent can filter results by source. + +**chunks** is the core table. each row is a text chunk — a slice of a markdown file — along with its embedding vector, the model that produced it, and its position in the source file (start/end line numbers). + +```sql +CREATE TABLE chunks ( + id TEXT PRIMARY KEY, + path TEXT NOT NULL, + source TEXT NOT NULL DEFAULT 'memory', + start_line INTEGER NOT NULL, + end_line INTEGER NOT NULL, + hash TEXT NOT NULL, + model TEXT NOT NULL, + text TEXT NOT NULL, + embedding TEXT NOT NULL, + updated_at INTEGER NOT NULL +); +``` + +the embedding is stored as a JSON array of floats in the `embedding` column. this is the fallback representation — it works everywhere but requires deserializing and computing cosine similarity in application code. when the sqlite-vec extension is available, the system also maintains a virtual table (`chunks_vec`) that stores the same embeddings as binary blobs and supports hardware-accelerated distance computation. + +**embedding_cache** prevents re-embedding text that hasn't changed. the composite primary key is `(provider, model, provider_key, hash)` — meaning the same text embedded with the same model produces a cache hit regardless of which file it came from. this matters for overlapping chunks, which by design share text at their boundaries. + +```sql +CREATE TABLE embedding_cache ( + provider TEXT NOT NULL, + model TEXT NOT NULL, + provider_key TEXT NOT NULL, + hash TEXT NOT NULL, + embedding TEXT NOT NULL, + dims INTEGER, + updated_at INTEGER NOT NULL, + PRIMARY KEY (provider, model, provider_key, hash) +); +``` + + +chunking +--- + +markdown files get split into chunks before embedding. the chunking is line-based, not sentence-based, which means heading structure and paragraph boundaries in the markdown are respected. + +the target chunk size defaults to 400 tokens (approximated as `tokens * 4` characters). the overlap defaults to 80 tokens. overlap exists because embedding models need surrounding context to produce useful vectors — a chunk that starts mid-paragraph would lose the semantic framing that the previous lines provided. by carrying the last ~80 tokens of one chunk into the beginning of the next, the system ensures that ideas spanning chunk boundaries are represented in at least one chunk's embedding. + +each chunk records its start and end line numbers in the source file. this is what makes the `memory_get` tool work — after `memory_search` identifies a relevant chunk, the agent can request the exact lines from the original file, including surrounding context that the chunk might not contain. + +long lines get split into segments at the `maxChars` boundary before chunking. this prevents a single extremely long line from creating an oversized chunk, which would produce a poor embedding (most embedding models have a token limit, and truncation happens silently). + + +the embedding pipeline +--- + +embeddings are produced by one of three providers, selected in order of preference: + +1. **local** via `node-llama-cpp` — runs a GGUF model locally. the default is `embeddinggemma-300M-Q8_0`, a 300M parameter model that produces reasonable embeddings without needing a GPU. the advantage is zero network calls and no API costs. the disadvantage is that it needs `node-llama-cpp` installed, which requires native compilation and doesn't work on all platforms. + +2. **openai** — calls the OpenAI embeddings API (`text-embedding-3-small` by default). good quality, fast, but costs money and requires network access. + +3. **gemini** — calls Google's embedding API. similar tradeoffs to OpenAI. + +the provider selection logic (`"auto"` mode) tries local first if a model file exists on disk, then falls back to OpenAI, then Gemini. if the primary provider fails (missing API key, network error, unsupported platform), the system falls back to the configured fallback provider. this fallback is tracked — the system records which provider it fell back from and why, which surfaces in status output so the user knows their local setup is broken. + +all embeddings are L2-normalized after generation. this is a preprocessing step that converts them to unit vectors, which means cosine similarity reduces to a dot product. this matters because sqlite-vec's `vec_distance_cosine` expects normalized vectors, and the brute-force fallback (`cosineSimilarity()`) also benefits from consistent normalization. + +the embedding provider interface is deliberately simple: + +```typescript +type EmbeddingProvider = { + id: string; + model: string; + embedQuery: (text: string) => Promise; + embedBatch: (texts: string[]) => Promise; +}; +``` + +`embedQuery` is for search-time (single query), `embedBatch` is for index-time (many chunks). the distinction matters because some providers offer batch APIs at lower cost (OpenAI and Gemini both support this), and the system routes bulk indexing through those APIs when available. + +batch indexing runs with concurrency of 4, retry logic with exponential backoff (500ms base, 8s max, 3 attempts), and a failure limit of 2 — after two consecutive batch failures, the system gives up on batch mode for the session and falls back to sequential embedding. this prevents a flaky API from stalling the entire index. + + +how search works +--- + +search is hybrid — it combines two fundamentally different retrieval strategies and merges their results. + +**vector search** (semantic) embeds the query text using the same provider/model that produced the index, then finds the nearest chunks by cosine distance. this catches conceptual matches — searching for "user preferences" will find chunks that talk about "settings" or "configuration" even if those exact words don't appear. when sqlite-vec is available, this runs as a SQL query with `vec_distance_cosine()`, which is fast. when it's not available, the system falls back to brute-force: load all chunk embeddings into memory, compute cosine similarity against each one, sort, and take the top N. this fallback is obviously slower but works on any SQLite build. + +**keyword search** (lexical) uses SQLite FTS5. the raw query gets tokenized into individual words, joined with AND, and matched against the full-text index. results are ranked by BM25, which is SQLite's built-in relevance scoring. this catches exact matches — searching for "Peter" will find chunks that mention Peter by name, which vector search might miss if "Peter" isn't a semantically distinctive token in the embedding space. + +the two result sets are merged by a weighted score: + +``` +finalScore = vectorWeight * vectorScore + textWeight * textScore +``` + +default weights are 0.7 vector / 0.3 text. this weights semantic similarity higher, which makes sense as a default — you usually want conceptual matches. but the keyword component prevents the system from missing exact-match results that vector search would rank lower. + +the merge works by chunk ID. if the same chunk appears in both result sets (which is common — a chunk that's semantically similar to the query often also contains the query terms), it gets the combined score. if a chunk appears in only one result set, it gets the full weight for that component and zero for the other. results are sorted by combined score, descending, and truncated to `maxResults` (default 6). + +the BM25 rank-to-score conversion uses `1 / (1 + rank)`, which maps BM25's unbounded rank values into a 0-1 range. this is necessary because the vector scores are already normalized (cosine similarity is inherently 0-1 for normalized vectors), and the merge formula needs both components on the same scale. + + +the pre-compaction memory flush +--- + +this is the mechanism that prevents the agent from losing important context when the conversation gets long. + +the problem it solves: LLM context windows are finite. when a conversation approaches the context limit, OpenClaw compacts the history — older messages get summarized or removed to free space. but compaction is lossy. if the agent learned something important early in the conversation (a user preference, a decision, a key fact), that information might get compacted away and effectively forgotten. + +the flush is a silent agentic turn that runs just before compaction. the trigger condition is: + +``` +totalTokens >= contextWindow - reserveTokensFloor - softThresholdTokens +``` + +with defaults of 20,000 for `reserveTokensFloor` and 4,000 for `softThresholdTokens`. so on a model with a 200K context window, the flush triggers when token usage crosses ~176K. + +when triggered, the system injects a special prompt into the conversation: + +> Pre-compaction memory flush. Store durable memories now (use memory/YYYY-MM-DD.md; create memory/ if needed). If nothing to store, reply with NO_REPLY. + +this runs as a full agentic turn — the agent has access to all its tools, including file write. it can decide what's worth saving (preferences discovered during the conversation, decisions made, important facts) and write those to the daily memory log or to MEMORY.md. then compaction proceeds, and the saved information is recoverable via `memory_search` in future sessions. + +the flush only runs once per compaction cycle. this is tracked via `memoryFlushCompactionCount` on the session entry — the flush records the current compaction count, and subsequent checks see that the flush has already run for this count and skip it. this prevents the flush from firing repeatedly as the conversation hovers near the threshold. + +there are additional guardrails. the flush won't run during heartbeat polls (automated keep-alive messages where no real conversation is happening). it won't run for CLI providers (where compaction works differently). and it checks sandbox write permissions — if the workspace isn't writable, there's no point asking the agent to write files. + +the prompt includes a `NO_REPLY` token hint because most of the time the agent has nothing to save. the user never sees this turn. if the agent writes files, those writes happen silently. if there's nothing to save, the agent replies with the silent token and the system discards it. the entire mechanism is invisible to the user unless they inspect the session transcript. + + +the two-path vector search +--- + +one detail worth calling out: vector search has two code paths, and the choice between them is automatic. + +**path 1: sqlite-vec.** when the extension is available and loaded, embeddings are stored in a virtual table (`chunks_vec`) as binary blobs. search runs as a SQL query that joins the vector table against the chunks table, computes `vec_distance_cosine()` in native code, and returns results sorted by distance. this is efficient — it uses SIMD instructions on supported hardware and doesn't require loading all embeddings into application memory. + +**path 2: brute-force.** when sqlite-vec isn't available (it's an optional extension that requires native compilation), the system falls back to loading every chunk's embedding from the `chunks` table, deserializing the JSON arrays, computing cosine similarity in JavaScript, sorting, and returning the top N. this is O(n) in the number of chunks and involves a lot of memory allocation, but it works on any SQLite build. + +the system tries to load sqlite-vec on startup with a 30-second timeout. if it fails (missing extension, incompatible platform, permission error), it logs the error and falls back silently. the user can check `openclaw memory status --deep` to see which search path is active. + +this two-path design is a practical compromise. sqlite-vec offers meaningful performance gains for large memory stores (thousands of chunks), but requiring it would make memory search unavailable on platforms where the extension doesn't compile. by making it optional with a transparent fallback, the system works everywhere while performing well where conditions allow. + + +what this means for compass +--- + +if Compass integrates with OpenClaw's memory system, there are a few things worth understanding: + +the memory system is designed for a single agent per database. each agent gets its own SQLite file, its own embedding index, and its own sync lifecycle. if Compass runs multiple AI sessions (per-user, per-project, per-workspace), each would need its own memory scope. this maps naturally to OpenClaw's agent model but requires thinking about how Compass sessions map to OpenClaw agent IDs. + +the embedding provider choice affects both cost and quality. for a deployed product, the OpenAI path is the most reliable (no native dependencies, consistent quality, reasonable cost). the local path is attractive for privacy-sensitive deployments but adds complexity (node-llama-cpp compilation, model downloads). the auto-selection logic handles this gracefully, but Compass would want to make the choice explicit rather than relying on auto. + +the pre-compaction flush is designed for long-running conversational sessions. if Compass's AI interactions are shorter (task-oriented, not open-ended), the flush might never trigger. but for a project management tool where the AI maintains context across weeks of interaction, the flush becomes essential — it's the difference between the AI remembering that "the client prefers blue over green" and having to be told again. + +the hybrid search strategy means that memory recall is robust to both conceptual and exact-match queries. this matters for a project tool: searching for "deadline" should find notes that mention "due date" (semantic), and searching for "Martine" should find notes that mention Martine by name (keyword). neither search strategy alone handles both cases well. diff --git a/docs/openclaw-principles/OPENCLAW-ARCHITECTURE.md b/docs/openclaw-principles/OPENCLAW-ARCHITECTURE.md new file mode 100755 index 0000000..5c6fce1 --- /dev/null +++ b/docs/openclaw-principles/OPENCLAW-ARCHITECTURE.md @@ -0,0 +1,145 @@ +OpenClaw Architecture +=== + +reference document covering OpenClaw's internal architecture, written during evaluation for Compass's AI backend. covers the agent framework, protocol layer, and authentication system. useful context if we integrate with or build on top of OpenClaw's gateway. + + +the stack at a glance +--- + +OpenClaw is three things layered on top of each other: + +1. **pi-ai** - model abstraction. talks to Anthropic, OpenAI, Bedrock, and others through a single `getModel()` interface. handles streaming, token counting, the boring plumbing. + +2. **pi-agent-core** - the agentic loop. takes a model, system prompt, and tools, then runs the standard prompt-stream-tool-repeat cycle. manages state, message history, tool execution, and event streaming. this is where the actual "agent" behavior lives. + +3. **OpenClaw gateway** - the infrastructure wrapper. sessions, credential management, multi-channel routing (WhatsApp, Telegram, Discord, Slack, web), and the ACP bridge for IDE integration. + +the relationship between these layers matters: pi-agent-core doesn't know about channels or sessions. the gateway doesn't know about model APIs. each layer has a clean boundary, which is what makes the system flexible enough to serve both a WhatsApp bot and a Zed editor plugin from the same codebase. + +``` +IDE (Zed, etc) ──ACP──> bridge ──ws──> ┐ + │ +WhatsApp ──────────────────────────> │ +Telegram ──────────────────────────> ├── Gateway ── pi-agent-core ── pi-ai ── Model APIs +Discord ──────────────────────────> │ │ +Slack ──────────────────────────> │ sessions +Web UI ──────────────────────────> ┘ credentials + routing +``` + + +agent client protocol (ACP) +--- + +ACP is a standardized wire protocol for IDEs to talk to AI agents. think LSP, but for agent interactions instead of language features. OpenClaw implements both sides. + +the transport is NDJSON over stdio. no HTTP server, no port management. an IDE spawns `openclaw acp` as a subprocess and communicates through stdin/stdout. the bridge translates ACP messages into gateway websocket calls. + +the protocol surface is small: + +- `initialize` - capability handshake (fs access, terminal) +- `newSession` / `loadSession` / `listSessions` - session lifecycle +- `prompt` - send user input (text, resources, images) +- `cancel` - abort a running generation +- `sessionUpdate` - streaming notifications back to the client (text chunks, tool calls, command updates) +- `requestPermission` - agent asks the IDE for permission before acting + +each ACP session maps to a gateway session key, so reconnects preserve conversation state. the practical value: any editor that speaks ACP can use OpenClaw as its agent backend without needing a bespoke plugin. Zed works today, and adding another editor requires zero changes on the OpenClaw side. + + +pi-agent-core internals +--- + +the agent framework is authored by Mario Zechner (badlogic on GitHub) and lives in the `pi-mono` monorepo. MIT licensed. the three packages OpenClaw depends on: + +- `@mariozechner/pi-ai` (model abstraction) +- `@mariozechner/pi-agent-core` (stateful agent loop) +- `@mariozechner/pi-coding-agent` (coding-specific tools and prompts) + +the core loop is an `Agent` class you configure with a model, system prompt, and tools. calling `prompt()` kicks off the agentic cycle: + +``` +prompt("read config.json and summarize it") +│ +├─ agent_start +├─ turn_start +│ ├─ user message sent to LLM +│ ├─ LLM streams response (message_update events with text deltas) +│ ├─ LLM requests tool call: read_file({path: "config.json"}) +│ ├─ tool_execution_start -> tool runs -> tool_execution_end +│ └─ tool result fed back to LLM +├─ turn_end +│ +├─ turn_start (next turn - LLM responds to tool result) +│ ├─ LLM streams final answer +│ └─ no more tool calls +├─ turn_end +└─ agent_end +``` + +two design decisions worth noting: + +**the message pipeline has two stages.** before every LLM call, messages pass through `transformContext()` (prune old messages, inject external context, compact history) and then `convertToLlm()` (filter out app-specific message types the model shouldn't see). this separation is what lets OpenClaw store channel-specific metadata, UI messages, and notification types in the conversation history without confusing the model. the LLM only ever sees clean user/assistant/toolResult messages. + +**message queuing supports mid-execution interrupts.** you can inject messages while the agent is running tools. when a queued message is detected after a tool completes, remaining tool calls get skipped and the LLM receives the interruption instead. this matters for interactive use cases where a user changes their mind while a multi-tool operation is in progress. + +tools use TypeBox schemas for parameter validation and support streaming progress through an `onUpdate` callback. errors are thrown (not returned as content), caught by the agent, and reported to the LLM as `isError: true` tool results. + + +authentication architecture +--- + +this is the part that initially seemed confusing but turns out to be well-structured once you see the two layers. + +**layer 1: gateway access.** this controls who can connect to the gateway at all. it's a simple token or password sent over the websocket connection. no OAuth, no complexity. an IDE, a chat client, or any websocket consumer provides credentials when connecting, and the gateway either accepts or rejects. configured via `gateway.auth.token` or `gateway.auth.password`. + +**layer 2: model provider auth.** this controls what API keys the agent uses when calling model providers (Anthropic, OpenAI, Bedrock, etc). this is where OAuth lives. + +the two layers are fully independent. you can connect to the gateway with a simple bearer token but have your model calls authenticated via Anthropic's OAuth flow. the gateway doesn't care how your model credentials were obtained. + +credentials are stored per-agent at `~/.openclaw/agents//auth-profiles.json` and come in three flavors: + +- **api_key** - raw API key, user-provided +- **token** - generated via `claude setup-token` or similar +- **oauth** - full OAuth flow with access/refresh tokens and expiry + +when an agent needs to call a model, the resolution chain runs through: + +1. explicit profile ID (if the request specifies one) +2. configured profile order with round-robin and failure cooldown +3. environment variables (`ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, etc) +4. config file values +5. AWS credential chain (for Bedrock) + +the system also mirrors credentials from external tools. if you've already authenticated Claude Code, OpenClaw can read `~/.claude/.credentials.json` and use those tokens as a fallback. same for Codex, Qwen, and MiniMax CLI credentials. token refresh uses file locking to prevent multiple agents from refreshing simultaneously. + +the Anthropic OAuth flow specifically goes through Chutes (`api.chutes.ai`) as the identity provider. it uses PKCE, supports both local browser redirects and manual URL pasting for headless/VPS environments, and stores access + refresh tokens with expiry tracking. + +``` +login flow: + openclaw login + └─> choose provider (anthropic) + └─> choose auth method (oauth) + └─> PKCE flow via chutes.ai + └─> tokens stored in auth-profiles.json + +request flow: + any client ──ws+token──> gateway ──> agent needs claude + └─> resolveApiKeyForProvider("anthropic") + └─> finds oauth token from auth-profiles.json + └─> refreshes if expired (with lockfile) + └─> calls anthropic API +``` + +the practical consequence: you authenticate once with OpenClaw, and any tool that can talk to the gateway gets access to your model providers. the tool doesn't need to manage its own API keys or know anything about OAuth. it just sends prompts and gets responses. + + +relevance to compass +--- + +if Compass uses OpenClaw as its AI backend, the integration point would be the gateway websocket. Compass would authenticate to the gateway (layer 1) and send prompts. the gateway handles everything else - model selection, credential resolution, session persistence, streaming. + +the ACP protocol is worth watching as a potential standard for AI tool integration, but for a web app like Compass, the websocket API is the more natural fit. + +the auth architecture means Compass wouldn't need to store or manage model API keys directly. users would authenticate through OpenClaw's onboarding, and the gateway would resolve credentials at request time. this simplifies the security surface - Compass never touches raw API keys. diff --git a/docs/openclaw-principles/SYSTEM-PROMPT-ARCHITECTURE.md b/docs/openclaw-principles/SYSTEM-PROMPT-ARCHITECTURE.md new file mode 100755 index 0000000..1e56f48 --- /dev/null +++ b/docs/openclaw-principles/SYSTEM-PROMPT-ARCHITECTURE.md @@ -0,0 +1,101 @@ +System Prompt Architecture +=== + +how OpenClaw constructs the system prompt that shapes agent behavior. covers the prompt builder in `src/agents/system-prompt.ts`, the design decisions behind its structure, and why it works the way it does. relevant context for Compass if we build agent features that need to understand or extend how the AI's instructions are assembled. + + +why a prompt builder, not a prompt template +--- + +the obvious approach to system prompts is a template — a big string with some variables interpolated in. OpenClaw doesn't do this. instead, `buildAgentSystemPrompt()` assembles the prompt from a set of independent section builders, each returning a `string[]` that gets concatenated at the end. + +the reason is that the prompt needs to change shape dramatically based on context. a main agent talking through Telegram with inline buttons enabled, a memory store, and a SOUL.md personality file needs a fundamentally different prompt than a subagent spawned to do a background file search. a template approach would drown in conditionals. the section-builder approach means each concern is isolated — the messaging section doesn't know or care about the memory section, and either can be omitted entirely without touching the other. + +this matters for Compass because if we integrate with OpenClaw's agent layer, the prompt that runs behind our AI chat panel will be shaped by these same mechanics. understanding what's included (and what's excluded) in different modes determines what the agent can and can't do. + + +prompt modes +--- + +the builder supports three modes, controlled by a `PromptMode` parameter: + +**"full"** is the default. every section gets included — tooling, safety, skills, memory, messaging, voice, reactions, heartbeats, silent reply protocol, runtime metadata. this is what the main agent gets when a user talks to it through a channel. + +**"minimal"** strips the prompt down for subagents. skills, memory, docs, messaging, voice, reactions, heartbeats, and silent replies all get dropped. what remains is tooling, workspace, and runtime info — enough for the subagent to do its job, not enough to make it think it's the primary conversational agent. + +**"none"** returns a single line: `"You are a personal assistant running inside OpenClaw."` this exists for cases where almost all behavior comes from injected context rather than hardcoded instructions. + +the distinction between full and minimal is worth understanding. a subagent that inherits the full prompt would try to manage heartbeats, react to messages with emojis, and follow the silent reply protocol — behaviors that make no sense for a background worker. the mode system prevents this without requiring the caller to manually strip sections. + + +the sections +--- + +each section is built by a dedicated function that returns an array of strings (empty array means "don't include this section"). the main builder concatenates everything and filters out empty strings. + +**tooling** is the most complex section. it takes a list of tool names, deduplicates them (case-insensitive but preserving original casing), and renders them in a fixed order with human-readable summaries. core tools like `read`, `exec`, and `browser` have hardcoded summaries. external tools can provide their own summaries through a separate map. tools not in the predefined order get sorted alphabetically at the end. the ordering matters because models tend to weight items higher when they appear earlier in their context. + +**safety** is a short set of guardrails — no self-preservation, no manipulation, comply with stop requests, don't bypass safeguards. this section is always included in full and minimal modes. + +**skills** teaches the agent how to discover and use skill files. it instructs the agent to scan available skill descriptions, pick the most specific match, and read exactly one SKILL.md file before proceeding. the constraint against reading multiple skills upfront is deliberate — it keeps the context window lean and forces the agent to commit to an approach rather than hedging. + +**memory** instructs the agent to search memory files before answering questions about prior work, preferences, or decisions. it supports a citations mode that controls whether the agent includes source paths in its replies. + +**messaging** handles multi-channel routing. it tells the agent how to reply in the current session versus sending cross-session messages, explains the `message` tool for proactive sends, and includes inline button guidance when the channel supports it. this section only appears when the `message` tool is available. + +**context files** are user-editable files (like SOUL.md) that get injected verbatim into the prompt under a "Project Context" header. if a SOUL.md is present, the builder adds an extra instruction to embody its persona. this is how personality customization works — the prompt builder provides the mechanism, the user provides the content. + +the remaining sections — user identity, time, voice, docs, reply tags, reactions, reasoning format, silent replies, heartbeats, and runtime — each handle a specific concern. most are a few lines. none depend on each other. + + +tool name resolution +--- + +one subtle design decision: tool names are case-sensitive in the final output but deduplicated case-insensitively. if the caller provides both `Read` and `read`, only the first one survives. but the output preserves whichever casing the caller used. this matters because some model providers are strict about tool name casing in their API, and the prompt needs to match exactly what the tool registry will accept. + +the resolution works through a `Map` that maps normalized (lowercase) names to their first-seen canonical form. when rendering the tool list or referencing a tool in prose (like "use `read` to read files"), the builder calls `resolveToolName()` to get the caller's preferred casing. + + +the runtime line +--- + +the prompt ends with a single-line runtime summary: + +``` +Runtime: agent=main | host=server | os=linux (x86_64) | model=claude-sonnet-4-5-20250929 | channel=telegram | capabilities=inlineButtons | thinking=off +``` + +this is exposed as a separate export (`buildRuntimeLine()`) because other parts of the system use it independently — for example, status commands that need to show the agent's current configuration. + +the runtime line is where the agent learns what model it's running on, what channel it's connected to, and what capabilities are available. it's a compressed format because it appears at the end of every prompt and the information density matters more than readability. + + +the silent reply protocol +--- + +one of the more interesting design choices. the agent needs a way to say "i have nothing to add" without actually saying that to the user. the prompt defines a `SILENT_REPLY_TOKEN` — a special string that, when returned as the agent's entire response, gets intercepted and discarded before reaching the user. + +the prompt is explicit and repetitive about the rules for this token because models tend to violate them. the token must be the *entire* message. it can't be appended to a real reply. it can't be wrapped in markdown. the prompt includes both correct and incorrect examples. this is a case where the repetition is load-bearing — without it, the model will occasionally leak the token into visible output. + + +design tradeoffs +--- + +the builder is around 680 lines, which is large for a single file. the alternative would be splitting each section into its own module. the reason it stays consolidated is that the sections share a lot of derived state — the `availableTools` set, the `isMinimal` flag, resolved tool names, runtime capabilities. splitting would mean either passing a large context object between modules or computing the same derived values in multiple places. the current approach keeps all the prompt logic in one place where the interactions between sections are visible. + +the string-array-concatenation approach (as opposed to, say, a template literal or a structured prompt object) was chosen for composability. each section builder can return zero or more lines without knowing what comes before or after it. the top-level builder just concatenates and filters. this makes it straightforward to add, remove, or reorder sections without cascading changes. + +one limitation: the prompt has no explicit token budget. sections are included or excluded based on mode and feature flags, but there's no mechanism to truncate or summarize if the total prompt exceeds a model's context window. in practice, the full prompt (without context files) stays well under the limit. context files are the wildcard — a large SOUL.md or many embedded files could push it over. this hasn't been a problem yet, but it's a gap worth noting. + + +relevance to compass +--- + +if Compass uses OpenClaw's agent layer for its AI chat panel, the system prompt is the primary control surface for agent behavior. understanding the builder means understanding what knobs are available: + +- **prompt mode** controls how much autonomy the agent has. a chat panel agent probably wants something between minimal and full — tool access and context awareness, but not heartbeat management or reaction guidance. +- **context files** are how Compass-specific knowledge would be injected. project data, user preferences, or domain-specific instructions would flow through this mechanism. +- **tool availability** determines what the agent can do. the tool list in the prompt must match what's actually registered in the runtime, and the prompt's tool summaries influence how the model chooses between them. +- **the messaging section** would need adaptation if Compass routes messages differently than OpenClaw's built-in channels. + +the builder is designed to be extended. adding a new section means writing a function that returns `string[]` and splicing it into the main assembly. the pattern is consistent enough that this is a low-risk change. diff --git a/docs/openclaw-principles/system-prompt.md b/docs/openclaw-principles/system-prompt.md new file mode 100755 index 0000000..984ec43 --- /dev/null +++ b/docs/openclaw-principles/system-prompt.md @@ -0,0 +1,679 @@ +/** +import type { ReasoningLevel, ThinkLevel } from "../auto-reply/thinking.js"; +import type { MemoryCitationsMode } from "../config/types.memory.js"; +import type { ResolvedTimeFormat } from "./date-time.js"; +import type { EmbeddedContextFile } from "./pi-embedded-helpers.js"; +import { SILENT_REPLY_TOKEN } from "../auto-reply/tokens.js"; +import { listDeliverableMessageChannels } from "../utils/message-channel.js"; +**/ + +/** + * Controls which hardcoded sections are included in the system prompt. + * - "full": All sections (default, for main agent) + * - "minimal": Reduced sections (Tooling, Workspace, Runtime) - used for subagents + * - "none": Just basic identity line, no sections + */ +export type PromptMode = "full" | "minimal" | "none"; + +function buildSkillsSection(params: { + skillsPrompt?: string; + isMinimal: boolean; + readToolName: string; +}) { + if (params.isMinimal) { + return []; + } + const trimmed = params.skillsPrompt?.trim(); + if (!trimmed) { + return []; + } + return [ + "## Skills (mandatory)", + "Before replying: scan entries.", + `- If exactly one skill clearly applies: read its SKILL.md at with \`${params.readToolName}\`, then follow it.`, + "- If multiple could apply: choose the most specific one, then read/follow it.", + "- If none clearly apply: do not read any SKILL.md.", + "Constraints: never read more than one skill up front; only read after selecting.", + trimmed, + "", + ]; +} + +function buildMemorySection(params: { + isMinimal: boolean; + availableTools: Set; + citationsMode?: MemoryCitationsMode; +}) { + if (params.isMinimal) { + return []; + } + if (!params.availableTools.has("memory_search") && !params.availableTools.has("memory_get")) { + return []; + } + const lines = [ + "## Memory Recall", + "Before answering anything about prior work, decisions, dates, people, preferences, or todos: run memory_search on MEMORY.md + memory/*.md; then use memory_get to pull only the needed lines. If low confidence after search, say you checked.", + ]; + if (params.citationsMode === "off") { + lines.push( + "Citations are disabled: do not mention file paths or line numbers in replies unless the user explicitly asks.", + ); + } else { + lines.push( + "Citations: include Source: when it helps the user verify memory snippets.", + ); + } + lines.push(""); + return lines; +} + +function buildUserIdentitySection(ownerLine: string | undefined, isMinimal: boolean) { + if (!ownerLine || isMinimal) { + return []; + } + return ["## User Identity", ownerLine, ""]; +} + +function buildTimeSection(params: { userTimezone?: string }) { + try { + if (!params.userTimezone) { + return []; + } + return ["## Current Date & Time", `Time zone: ${params.userTimezone}`, ""]; + } catch (error) { + return []; + } +} + +function buildReplyTagsSection(isMinimal: boolean) { + if (isMinimal) { + return []; + } + return [ + "## Reply Tags", + "To request a native reply/quote on supported surfaces, include one tag in your reply:", + "- [[reply_to_current]] replies to the triggering message.", + "- [[reply_to:]] replies to a specific message id when you have it.", + "Whitespace inside the tag is allowed (e.g. [[ reply_to_current ]] / [[ reply_to: 123 ]]).", + "Tags are stripped before sending; support depends on the current channel config.", + "", + ]; +} + +function buildMessagingSection(params: { + isMinimal: boolean; + availableTools: Set; + messageChannelOptions: string; + inlineButtonsEnabled: boolean; + runtimeChannel?: string; + messageToolHints?: string[]; +}) { + if (params.isMinimal) { + return []; + } + + const lines = [ + "## Messaging", + "- Reply in current session → automatically routes to the source channel (Signal, Telegram, etc.)", + "- Cross-session messaging → use sessions_send(sessionKey, message)", + "- Never use exec/curl for provider messaging; OpenClaw handles all routing internally.", + ]; + + if (!params.availableTools.has("message")) { + lines.push(""); + return lines; + } + + // Build message tool section + const messageToolLines = [ + "", + "### message tool", + "- Use `message` for proactive sends + channel actions (polls, reactions, etc.).", + "- For `action=send`, include `to` and `message`.", + `- If multiple channels are configured, pass \`channel\` (${params.messageChannelOptions}).`, + `- If you use \`message\` (\`action=send\`) to deliver your user-visible reply, respond with ONLY: ${SILENT_REPLY_TOKEN} (avoid duplicate replies).`, + ]; + + // Add inline buttons guidance + const buttonGuidance = buildInlineButtonsGuidance( + params.inlineButtonsEnabled, + params.runtimeChannel, + ); + if (buttonGuidance) { + messageToolLines.push(buttonGuidance); + } + + // Add any additional hints + if (params.messageToolHints && params.messageToolHints.length > 0) { + messageToolLines.push(...params.messageToolHints); + } + + lines.push(...messageToolLines, ""); + return lines; +} + +function buildInlineButtonsGuidance( + inlineButtonsEnabled: boolean, + runtimeChannel?: string, +): string { + if (inlineButtonsEnabled) { + return "- Inline buttons supported. Use `action=send` with `buttons=[[{text,callback_data}]]` (callback_data routes back as a user message)."; + } + + if (runtimeChannel) { + return `- Inline buttons not enabled for ${runtimeChannel}. If you need them, ask to set ${runtimeChannel}.capabilities.inlineButtons ("dm"|"group"|"all"|"allowlist").`; + } + + return ""; +} + +function buildVoiceSection(params: { isMinimal: boolean; ttsHint?: string }) { + if (params.isMinimal) { + return []; + } + const hint = params.ttsHint?.trim(); + if (!hint) { + return []; + } + return ["## Voice (TTS)", hint, ""]; +} + +function buildDocsSection(params: { docsPath?: string; isMinimal: boolean; readToolName: string }) { + const docsPath = params.docsPath?.trim(); + if (!docsPath || params.isMinimal) { + return []; + } + return [ + "## Documentation", + `OpenClaw docs: ${docsPath}`, + "Mirror: https://docs.openclaw.ai", + "Source: https://github.com/openclaw/openclaw", + "Community: https://discord.com/invite/clawd", + "Find new skills: https://clawhub.com", + "For OpenClaw behavior, commands, config, or architecture: consult local docs first.", + "When diagnosing issues, run `openclaw status` yourself when possible; only ask the user if you lack access (e.g., sandboxed).", + "", + ]; +} + +export function buildAgentSystemPrompt(params: { + workspaceDir: string; + defaultThinkLevel?: ThinkLevel; + reasoningLevel?: ReasoningLevel; + extraSystemPrompt?: string; + ownerNumbers?: string[]; + reasoningTagHint?: boolean; + toolNames?: string[]; + toolSummaries?: Record; + modelAliasLines?: string[]; + userTimezone?: string; + userTime?: string; + userTimeFormat?: ResolvedTimeFormat; + contextFiles?: EmbeddedContextFile[]; + skillsPrompt?: string; + heartbeatPrompt?: string; + docsPath?: string; + workspaceNotes?: string[]; + ttsHint?: string; + /** Controls which hardcoded sections to include. Defaults to "full". */ + promptMode?: PromptMode; + runtimeInfo?: { + agentId?: string; + host?: string; + os?: string; + arch?: string; + node?: string; + model?: string; + defaultModel?: string; + channel?: string; + capabilities?: string[]; + repoRoot?: string; + }; + messageToolHints?: string[]; + sandboxInfo?: { + enabled: boolean; + workspaceDir?: string; + workspaceAccess?: "none" | "ro" | "rw"; + agentWorkspaceMount?: string; + browserBridgeUrl?: string; + browserNoVncUrl?: string; + hostBrowserAllowed?: boolean; + elevated?: { + allowed: boolean; + defaultLevel: "on" | "off" | "ask" | "full"; + }; + }; + /** Reaction guidance for the agent (for Telegram minimal/extensive modes). */ + reactionGuidance?: { + level: "minimal" | "extensive"; + channel: string; + }; + memoryCitationsMode?: MemoryCitationsMode; +}) { + const coreToolSummaries: Record = { + read: "Read file contents", + write: "Create or overwrite files", + edit: "Make precise edits to files", + apply_patch: "Apply multi-file patches", + grep: "Search file contents for patterns", + find: "Find files by glob pattern", + ls: "List directory contents", + exec: "Run shell commands (pty available for TTY-required CLIs)", + process: "Manage background exec sessions", + web_search: "Search the web (Brave API)", + web_fetch: "Fetch and extract readable content from a URL", + // Channel docking: add login tools here when a channel needs interactive linking. + browser: "Control web browser", + canvas: "Present/eval/snapshot the Canvas", + nodes: "List/describe/notify/camera/screen on paired nodes", + cron: "Manage cron jobs and wake events (use for reminders; when scheduling a reminder, write the systemEvent text as something that will read like a reminder when it fires, and mention that it is a reminder depending on the time gap between setting and firing; include recent context in reminder text if appropriate)", + message: "Send messages and channel actions", + gateway: "Restart, apply config, or run updates on the running OpenClaw process", + agents_list: "List agent ids allowed for sessions_spawn", + sessions_list: "List other sessions (incl. sub-agents) with filters/last", + sessions_history: "Fetch history for another session/sub-agent", + sessions_send: "Send a message to another session/sub-agent", + sessions_spawn: "Spawn a sub-agent session", + session_status: + "Show a /status-equivalent status card (usage + time + Reasoning/Verbose/Elevated); use for model-use questions (📊 session_status); optional per-session model override", + image: "Analyze an image with the configured image model", + }; + + const toolOrder = [ + "read", + "write", + "edit", + "apply_patch", + "grep", + "find", + "ls", + "exec", + "process", + "web_search", + "web_fetch", + "browser", + "canvas", + "nodes", + "cron", + "message", + "gateway", + "agents_list", + "sessions_list", + "sessions_history", + "sessions_send", + "session_status", + "image", + ]; + + const rawToolNames = (params.toolNames ?? []).map((tool) => tool.trim()); + const canonicalToolNames = rawToolNames.filter(Boolean); + // Preserve caller casing while deduping tool names by lowercase. + const canonicalByNormalized = new Map(); + for (const name of canonicalToolNames) { + const normalized = name.toLowerCase(); + if (!canonicalByNormalized.has(normalized)) { + canonicalByNormalized.set(normalized, name); + } + } + const resolveToolName = (normalized: string) => + canonicalByNormalized.get(normalized) ?? normalized; + + const normalizedTools = canonicalToolNames.map((tool) => tool.toLowerCase()); + const availableTools = new Set(normalizedTools); + const externalToolSummaries = new Map(); + for (const [key, value] of Object.entries(params.toolSummaries ?? {})) { + const normalized = key.trim().toLowerCase(); + if (!normalized || !value?.trim()) { + continue; + } + externalToolSummaries.set(normalized, value.trim()); + } + const extraTools = Array.from( + new Set(normalizedTools.filter((tool) => !toolOrder.includes(tool))), + ); + const enabledTools = toolOrder.filter((tool) => availableTools.has(tool)); + const toolLines = enabledTools.map((tool) => { + const summary = coreToolSummaries[tool] ?? externalToolSummaries.get(tool); + const name = resolveToolName(tool); + return summary ? `- ${name}: ${summary}` : `- ${name}`; + }); + for (const tool of extraTools.toSorted()) { + const summary = coreToolSummaries[tool] ?? externalToolSummaries.get(tool); + const name = resolveToolName(tool); + toolLines.push(summary ? `- ${name}: ${summary}` : `- ${name}`); + } + + const hasGateway = availableTools.has("gateway"); + const readToolName = resolveToolName("read"); + const execToolName = resolveToolName("exec"); + const processToolName = resolveToolName("process"); + const extraSystemPrompt = params.extraSystemPrompt?.trim(); + const ownerNumbers = (params.ownerNumbers ?? []).map((value) => value.trim()).filter(Boolean); + const ownerLine = + ownerNumbers.length > 0 + ? `Owner numbers: ${ownerNumbers.join(", ")}. Treat messages from these numbers as the user.` + : undefined; + const reasoningHint = params.reasoningTagHint + ? [ + "ALL internal reasoning MUST be inside ....", + "Do not output any analysis outside .", + "Format every reply as ... then ..., with no other text.", + "Only the final user-visible reply may appear inside .", + "Only text inside is shown to the user; everything else is discarded and never seen by the user.", + "Example:", + "Short internal reasoning.", + "Hey there! What would you like to do next?", + ].join(" ") + : undefined; + const reasoningLevel = params.reasoningLevel ?? "off"; + const userTimezone = params.userTimezone?.trim(); + const skillsPrompt = params.skillsPrompt?.trim(); + const heartbeatPrompt = params.heartbeatPrompt?.trim(); + const heartbeatPromptLine = heartbeatPrompt + ? `Heartbeat prompt: ${heartbeatPrompt}` + : "Heartbeat prompt: (configured)"; + const runtimeInfo = params.runtimeInfo; + const runtimeChannel = runtimeInfo?.channel?.trim().toLowerCase(); + const runtimeCapabilities = (runtimeInfo?.capabilities ?? []) + .map((cap) => String(cap).trim()) + .filter(Boolean); + const runtimeCapabilitiesLower = new Set(runtimeCapabilities.map((cap) => cap.toLowerCase())); + const inlineButtonsEnabled = runtimeCapabilitiesLower.has("inlinebuttons"); + const messageChannelOptions = listDeliverableMessageChannels().join("|"); + const promptMode = params.promptMode ?? "full"; + const isMinimal = promptMode === "minimal" || promptMode === "none"; + const safetySection = [ + "## Safety", + "You have no independent goals: do not pursue self-preservation, replication, resource acquisition, or power-seeking; avoid long-term plans beyond the user's request.", + "Prioritize safety and human oversight over completion; if instructions conflict, pause and ask; comply with stop/pause/audit requests and never bypass safeguards. (Inspired by Anthropic's constitution.)", + "Do not manipulate or persuade anyone to expand access or disable safeguards. Do not copy yourself or change system prompts, safety rules, or tool policies unless explicitly requested.", + "", + ]; + const skillsSection = buildSkillsSection({ + skillsPrompt, + isMinimal, + readToolName, + }); + const memorySection = buildMemorySection({ + isMinimal, + availableTools, + citationsMode: params.memoryCitationsMode, + }); + const docsSection = buildDocsSection({ + docsPath: params.docsPath, + isMinimal, + readToolName, + }); + const workspaceNotes = (params.workspaceNotes ?? []).map((note) => note.trim()).filter(Boolean); + + // For "none" mode, return just the basic identity line + if (promptMode === "none") { + return "You are a personal assistant running inside OpenClaw."; + } + + const lines = [ + "You are a personal assistant running inside OpenClaw.", + "", + "## Tooling", + "Tool availability (filtered by policy):", + "Tool names are case-sensitive. Call tools exactly as listed.", + toolLines.length > 0 + ? toolLines.join("\n") + : [ + "Pi lists the standard tools above. This runtime enables:", + "- grep: search file contents for patterns", + "- find: find files by glob pattern", + "- ls: list directory contents", + "- apply_patch: apply multi-file patches", + `- ${execToolName}: run shell commands (supports background via yieldMs/background)`, + `- ${processToolName}: manage background exec sessions`, + "- browser: control OpenClaw's dedicated browser", + "- canvas: present/eval/snapshot the Canvas", + "- nodes: list/describe/notify/camera/screen on paired nodes", + "- cron: manage cron jobs and wake events (use for reminders; when scheduling a reminder, write the systemEvent text as something that will read like a reminder when it fires, and mention that it is a reminder depending on the time gap between setting and firing; include recent context in reminder text if appropriate)", + "- sessions_list: list sessions", + "- sessions_history: fetch session history", + "- sessions_send: send to another session", + '- session_status: show usage/time/model state and answer "what model are we using?"', + ].join("\n"), + "TOOLS.md does not control tool availability; it is user guidance for how to use external tools.", + "If a task is more complex or takes longer, spawn a sub-agent. It will do the work for you and ping you when it's done. You can always check up on it.", + "", + "## Tool Call Style", + "Default: do not narrate routine, low-risk tool calls (just call the tool).", + "Narrate only when it helps: multi-step work, complex/challenging problems, sensitive actions (e.g., deletions), or when the user explicitly asks.", + "Keep narration brief and value-dense; avoid repeating obvious steps.", + "Use plain human language for narration unless in a technical context.", + "", + ...safetySection, + "## OpenClaw CLI Quick Reference", + "OpenClaw is controlled via subcommands. Do not invent commands.", + "To manage the Gateway daemon service (start/stop/restart):", + "- openclaw gateway status", + "- openclaw gateway start", + "- openclaw gateway stop", + "- openclaw gateway restart", + "If unsure, ask the user to run `openclaw help` (or `openclaw gateway --help`) and paste the output.", + "", + ...skillsSection, + ...memorySection, + // Skip self-update for subagent/none modes + hasGateway && !isMinimal ? "## OpenClaw Self-Update" : "", + hasGateway && !isMinimal + ? [ + "Get Updates (self-update) is ONLY allowed when the user explicitly asks for it.", + "Do not run config.apply or update.run unless the user explicitly requests an update or config change; if it's not explicit, ask first.", + "Actions: config.get, config.schema, config.apply (validate + write full config, then restart), update.run (update deps or git, then restart).", + "After restart, OpenClaw pings the last active session automatically.", + ].join("\n") + : "", + hasGateway && !isMinimal ? "" : "", + "", + // Skip model aliases for subagent/none modes + params.modelAliasLines && params.modelAliasLines.length > 0 && !isMinimal + ? "## Model Aliases" + : "", + params.modelAliasLines && params.modelAliasLines.length > 0 && !isMinimal + ? "Prefer aliases when specifying model overrides; full provider/model is also accepted." + : "", + params.modelAliasLines && params.modelAliasLines.length > 0 && !isMinimal + ? params.modelAliasLines.join("\n") + : "", + params.modelAliasLines && params.modelAliasLines.length > 0 && !isMinimal ? "" : "", + userTimezone + ? "If you need the current date, time, or day of week, run session_status (📊 session_status)." + : "", + "## Workspace", + `Your working directory is: ${params.workspaceDir}`, + "Treat this directory as the single global workspace for file operations unless explicitly instructed otherwise.", + ...workspaceNotes, + "", + ...docsSection, + params.sandboxInfo?.enabled ? "## Sandbox" : "", + params.sandboxInfo?.enabled + ? [ + "You are running in a sandboxed runtime (tools execute in Docker).", + "Some tools may be unavailable due to sandbox policy.", + "Sub-agents stay sandboxed (no elevated/host access). Need outside-sandbox read/write? Don't spawn; ask first.", + params.sandboxInfo.workspaceDir + ? `Sandbox workspace: ${params.sandboxInfo.workspaceDir}` + : "", + params.sandboxInfo.workspaceAccess + ? `Agent workspace access: ${params.sandboxInfo.workspaceAccess}${params.sandboxInfo.agentWorkspaceMount + ? ` (mounted at ${params.sandboxInfo.agentWorkspaceMount})` + : "" + }` + : "", + params.sandboxInfo.browserBridgeUrl ? "Sandbox browser: enabled." : "", + params.sandboxInfo.browserNoVncUrl + ? `Sandbox browser observer (noVNC): ${params.sandboxInfo.browserNoVncUrl}` + : "", + params.sandboxInfo.hostBrowserAllowed === true + ? "Host browser control: allowed." + : params.sandboxInfo.hostBrowserAllowed === false + ? "Host browser control: blocked." + : "", + params.sandboxInfo.elevated?.allowed + ? "Elevated exec is available for this session." + : "", + params.sandboxInfo.elevated?.allowed + ? "User can toggle with /elevated on|off|ask|full." + : "", + params.sandboxInfo.elevated?.allowed + ? "You may also send /elevated on|off|ask|full when needed." + : "", + params.sandboxInfo.elevated?.allowed + ? `Current elevated level: ${params.sandboxInfo.elevated.defaultLevel} (ask runs exec on host with approvals; full auto-approves).` + : "", + ] + .filter(Boolean) + .join("\n") + : "", + params.sandboxInfo?.enabled ? "" : "", + ...buildUserIdentitySection(ownerLine, isMinimal), + ...buildTimeSection({ + userTimezone, + }), + "## Workspace Files (injected)", + "These user-editable files are loaded by OpenClaw and included below in Project Context.", + "", + ...buildReplyTagsSection(isMinimal), + ...buildMessagingSection({ + isMinimal, + availableTools, + messageChannelOptions, + inlineButtonsEnabled, + runtimeChannel, + messageToolHints: params.messageToolHints, + }), + ...buildVoiceSection({ isMinimal, ttsHint: params.ttsHint }), + ]; + + if (extraSystemPrompt) { + // Use "Subagent Context" header for minimal mode (subagents), otherwise "Group Chat Context" + const contextHeader = + promptMode === "minimal" ? "## Subagent Context" : "## Group Chat Context"; + lines.push(contextHeader, extraSystemPrompt, ""); + } + if (params.reactionGuidance) { + const { level, channel } = params.reactionGuidance; + const guidanceText = + level === "minimal" + ? [ + `Reactions are enabled for ${channel} in MINIMAL mode.`, + "React ONLY when truly relevant:", + "- Acknowledge important user requests or confirmations", + "- Express genuine sentiment (humor, appreciation) sparingly", + "- Avoid reacting to routine messages or your own replies", + "Guideline: at most 1 reaction per 5-10 exchanges.", + ].join("\n") + : [ + `Reactions are enabled for ${channel} in EXTENSIVE mode.`, + "Feel free to react liberally:", + "- Acknowledge messages with appropriate emojis", + "- Express sentiment and personality through reactions", + "- React to interesting content, humor, or notable events", + "- Use reactions to confirm understanding or agreement", + "Guideline: react whenever it feels natural.", + ].join("\n"); + lines.push("## Reactions", guidanceText, ""); + } + if (reasoningHint) { + lines.push("## Reasoning Format", reasoningHint, ""); + } + + const contextFiles = params.contextFiles ?? []; + if (contextFiles.length > 0) { + const hasSoulFile = contextFiles.some((file) => { + const normalizedPath = file.path.trim().replace(/\\/g, "/"); + const baseName = normalizedPath.split("/").pop() ?? normalizedPath; + return baseName.toLowerCase() === "soul.md"; + }); + lines.push("# Project Context", "", "The following project context files have been loaded:"); + if (hasSoulFile) { + lines.push( + "If SOUL.md is present, embody its persona and tone. Avoid stiff, generic replies; follow its guidance unless higher-priority instructions override it.", + ); + } + lines.push(""); + for (const file of contextFiles) { + lines.push(`## ${file.path}`, "", file.content, ""); + } + } + + // Skip silent replies for subagent/none modes + if (!isMinimal) { + lines.push( + "## Silent Replies", + `When you have nothing to say, respond with ONLY: ${SILENT_REPLY_TOKEN}`, + "", + "⚠️ Rules:", + "- It must be your ENTIRE message — nothing else", + `- Never append it to an actual response (never include "${SILENT_REPLY_TOKEN}" in real replies)`, + "- Never wrap it in markdown or code blocks", + "", + `❌ Wrong: "Here's help... ${SILENT_REPLY_TOKEN}"`, + `❌ Wrong: "${SILENT_REPLY_TOKEN}"`, + `✅ Right: ${SILENT_REPLY_TOKEN}`, + "", + ); + } + + // Skip heartbeats for subagent/none modes + if (!isMinimal) { + lines.push( + "## Heartbeats", + heartbeatPromptLine, + "If you receive a heartbeat poll (a user message matching the heartbeat prompt above), and there is nothing that needs attention, reply exactly:", + "HEARTBEAT_OK", + 'OpenClaw treats a leading/trailing "HEARTBEAT_OK" as a heartbeat ack (and may discard it).', + 'If something needs attention, do NOT include "HEARTBEAT_OK"; reply with the alert text instead.', + "", + ); + } + + lines.push( + "## Runtime", + buildRuntimeLine(runtimeInfo, runtimeChannel, runtimeCapabilities, params.defaultThinkLevel), + `Reasoning: ${reasoningLevel} (hidden unless on/stream). Toggle /reasoning; /status shows Reasoning when enabled.`, + ); + + return lines.filter(Boolean).join("\n"); +} + +export function buildRuntimeLine( + runtimeInfo?: { + agentId?: string; + host?: string; + os?: string; + arch?: string; + node?: string; + model?: string; + defaultModel?: string; + repoRoot?: string; + }, + runtimeChannel?: string, + runtimeCapabilities: string[] = [], + defaultThinkLevel?: ThinkLevel, +): string { + return `Runtime: ${[ + runtimeInfo?.agentId ? `agent=${runtimeInfo.agentId}` : "", + runtimeInfo?.host ? `host=${runtimeInfo.host}` : "", + runtimeInfo?.repoRoot ? `repo=${runtimeInfo.repoRoot}` : "", + runtimeInfo?.os + ? `os=${runtimeInfo.os}${runtimeInfo?.arch ? ` (${runtimeInfo.arch})` : ""}` + : runtimeInfo?.arch + ? `arch=${runtimeInfo.arch}` + : "", + runtimeInfo?.node ? `node=${runtimeInfo.node}` : "", + runtimeInfo?.model ? `model=${runtimeInfo.model}` : "", + runtimeInfo?.defaultModel ? `default_model=${runtimeInfo.defaultModel}` : "", + runtimeChannel ? `channel=${runtimeChannel}` : "", + runtimeChannel + ? `capabilities=${runtimeCapabilities.length > 0 ? runtimeCapabilities.join(",") : "none"}` + : "", + `thinking=${defaultThinkLevel ?? "off"}`, + ] + .filter(Boolean) + .join(" | ")}`; +} diff --git a/docs/USER-DRAWER-INVITE-DIALOG.md b/docs/ui/USER-DRAWER-INVITE-DIALOG.md similarity index 100% rename from docs/USER-DRAWER-INVITE-DIALOG.md rename to docs/ui/USER-DRAWER-INVITE-DIALOG.md diff --git a/drizzle.config.ts b/drizzle.config.ts index 50ec6b0..2db13f7 100755 --- a/drizzle.config.ts +++ b/drizzle.config.ts @@ -1,7 +1,12 @@ import { defineConfig } from "drizzle-kit" export default defineConfig({ - schema: ["./src/db/schema.ts", "./src/db/schema-netsuite.ts"], + schema: [ + "./src/db/schema.ts", + "./src/db/schema-netsuite.ts", + "./src/db/schema-plugins.ts", + "./src/db/schema-agent.ts", + ], out: "./drizzle", dialect: "sqlite", }) diff --git a/drizzle/0009_curious_matthew_murdock.sql b/drizzle/0009_curious_matthew_murdock.sql new file mode 100755 index 0000000..c54ac20 --- /dev/null +++ b/drizzle/0009_curious_matthew_murdock.sql @@ -0,0 +1,15 @@ +CREATE TABLE `feedback_interviews` ( + `id` text PRIMARY KEY NOT NULL, + `user_id` text NOT NULL, + `user_name` text NOT NULL, + `user_role` text NOT NULL, + `responses` text NOT NULL, + `summary` text NOT NULL, + `pain_points` text, + `feature_requests` text, + `overall_sentiment` text NOT NULL, + `github_issue_url` text, + `conversation_id` text, + `created_at` text NOT NULL, + FOREIGN KEY (`user_id`) REFERENCES `users`(`id`) ON UPDATE no action ON DELETE no action +); diff --git a/drizzle/0010_busy_shockwave.sql b/drizzle/0010_busy_shockwave.sql new file mode 100755 index 0000000..f8c473a --- /dev/null +++ b/drizzle/0010_busy_shockwave.sql @@ -0,0 +1,13 @@ +CREATE TABLE `slab_memories` ( + `id` text PRIMARY KEY NOT NULL, + `user_id` text NOT NULL, + `content` text NOT NULL, + `memory_type` text NOT NULL, + `tags` text, + `importance` real DEFAULT 0.7 NOT NULL, + `pinned` integer DEFAULT false NOT NULL, + `access_count` integer DEFAULT 0 NOT NULL, + `last_accessed_at` text, + `created_at` text NOT NULL, + FOREIGN KEY (`user_id`) REFERENCES `users`(`id`) ON UPDATE no action ON DELETE cascade +); diff --git a/drizzle/0011_damp_shiver_man.sql b/drizzle/0011_damp_shiver_man.sql new file mode 100755 index 0000000..e5812a7 --- /dev/null +++ b/drizzle/0011_damp_shiver_man.sql @@ -0,0 +1,38 @@ +CREATE TABLE `plugin_config` ( + `id` text PRIMARY KEY NOT NULL, + `plugin_id` text NOT NULL, + `key` text NOT NULL, + `value` text NOT NULL, + `is_encrypted` integer DEFAULT false NOT NULL, + `updated_at` text NOT NULL, + FOREIGN KEY (`plugin_id`) REFERENCES `plugins`(`id`) ON UPDATE no action ON DELETE cascade +); +--> statement-breakpoint +CREATE TABLE `plugin_events` ( + `id` text PRIMARY KEY NOT NULL, + `plugin_id` text NOT NULL, + `event_type` text NOT NULL, + `details` text, + `user_id` text, + `created_at` text NOT NULL, + FOREIGN KEY (`plugin_id`) REFERENCES `plugins`(`id`) ON UPDATE no action ON DELETE cascade, + FOREIGN KEY (`user_id`) REFERENCES `users`(`id`) ON UPDATE no action ON DELETE no action +); +--> statement-breakpoint +CREATE TABLE `plugins` ( + `id` text PRIMARY KEY NOT NULL, + `name` text NOT NULL, + `description` text, + `version` text NOT NULL, + `source` text NOT NULL, + `source_type` text NOT NULL, + `capabilities` text NOT NULL, + `required_env_vars` text, + `status` text DEFAULT 'disabled' NOT NULL, + `status_reason` text, + `enabled_by` text, + `enabled_at` text, + `installed_at` text NOT NULL, + `updated_at` text NOT NULL, + FOREIGN KEY (`enabled_by`) REFERENCES `users`(`id`) ON UPDATE no action ON DELETE no action +); diff --git a/drizzle/0012_chilly_lake.sql b/drizzle/0012_chilly_lake.sql new file mode 100755 index 0000000..4b635fd --- /dev/null +++ b/drizzle/0012_chilly_lake.sql @@ -0,0 +1,15 @@ +CREATE TABLE `agent_items` ( + `id` text PRIMARY KEY NOT NULL, + `user_id` text NOT NULL, + `conversation_id` text, + `type` text NOT NULL, + `title` text NOT NULL, + `content` text, + `done` integer DEFAULT false NOT NULL, + `sort_order` integer DEFAULT 0 NOT NULL, + `parent_id` text, + `metadata` text, + `created_at` text NOT NULL, + `updated_at` text NOT NULL, + FOREIGN KEY (`user_id`) REFERENCES `users`(`id`) ON UPDATE no action ON DELETE cascade +); diff --git a/drizzle/meta/0009_snapshot.json b/drizzle/meta/0009_snapshot.json new file mode 100755 index 0000000..5d1b5cb --- /dev/null +++ b/drizzle/meta/0009_snapshot.json @@ -0,0 +1,2432 @@ +{ + "version": "6", + "dialect": "sqlite", + "id": "1cb477ac-bb7e-4e11-8296-f4d6ed0f9974", + "prevId": "353cccf6-b609-4381-bbb4-a8d5456cfae0", + "tables": { + "agent_conversations": { + "name": "agent_conversations", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "user_id": { + "name": "user_id", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "title": { + "name": "title", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "last_message_at": { + "name": "last_message_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "created_at": { + "name": "created_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + } + }, + "indexes": {}, + "foreignKeys": { + "agent_conversations_user_id_users_id_fk": { + "name": "agent_conversations_user_id_users_id_fk", + "tableFrom": "agent_conversations", + "tableTo": "users", + "columnsFrom": [ + "user_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "cascade", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + }, + "agent_memories": { + "name": "agent_memories", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "conversation_id": { + "name": "conversation_id", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "user_id": { + "name": "user_id", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "role": { + "name": "role", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "content": { + "name": "content", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "embedding": { + "name": "embedding", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "metadata": { + "name": "metadata", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "created_at": { + "name": "created_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + } + }, + "indexes": {}, + "foreignKeys": { + "agent_memories_conversation_id_agent_conversations_id_fk": { + "name": "agent_memories_conversation_id_agent_conversations_id_fk", + "tableFrom": "agent_memories", + "tableTo": "agent_conversations", + "columnsFrom": [ + "conversation_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "agent_memories_user_id_users_id_fk": { + "name": "agent_memories_user_id_users_id_fk", + "tableFrom": "agent_memories", + "tableTo": "users", + "columnsFrom": [ + "user_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "cascade", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + }, + "customers": { + "name": "customers", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "name": { + "name": "name", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "company": { + "name": "company", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "email": { + "name": "email", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "phone": { + "name": "phone", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "address": { + "name": "address", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "notes": { + "name": "notes", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "netsuite_id": { + "name": "netsuite_id", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "created_at": { + "name": "created_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "updated_at": { + "name": "updated_at", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + } + }, + "indexes": {}, + "foreignKeys": {}, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + }, + "feedback": { + "name": "feedback", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "type": { + "name": "type", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "message": { + "name": "message", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "name": { + "name": "name", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "email": { + "name": "email", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "page_url": { + "name": "page_url", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "user_agent": { + "name": "user_agent", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "viewport_width": { + "name": "viewport_width", + "type": "integer", + "primaryKey": false, + "notNull": false, + 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+ "project_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "project_members_user_id_users_id_fk": { + "name": "project_members_user_id_users_id_fk", + "tableFrom": "project_members", + "tableTo": "users", + "columnsFrom": [ + "user_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "cascade", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + }, + "projects": { + "name": "projects", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "name": { + "name": "name", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "status": { + "name": "status", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": "'OPEN'" + }, + "address": { + "name": "address", + "type": "text", + "primaryKey": false, + "notNull": false, + 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"primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "token_type": { + "name": "token_type", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "issued_at": { + "name": "issued_at", + "type": "integer", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "created_at": { + "name": "created_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "updated_at": { + "name": "updated_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + } + }, + "indexes": {}, + "foreignKeys": {}, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + }, + "netsuite_sync_log": { + "name": "netsuite_sync_log", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "sync_type": { + "name": "sync_type", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "record_type": { + "name": "record_type", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "direction": { + "name": "direction", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "status": { + "name": "status", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "records_processed": { + "name": "records_processed", + "type": "integer", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": 0 + }, + "records_failed": { + "name": "records_failed", + "type": "integer", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": 0 + }, + "error_summary": { + "name": "error_summary", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "started_at": { + "name": "started_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "completed_at": { + "name": "completed_at", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "created_at": { + "name": "created_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + } + }, + "indexes": {}, + "foreignKeys": {}, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + }, + "netsuite_sync_metadata": { + "name": "netsuite_sync_metadata", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "local_table": { + "name": "local_table", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "local_record_id": { + "name": "local_record_id", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "netsuite_record_type": { + "name": "netsuite_record_type", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "netsuite_internal_id": { + "name": "netsuite_internal_id", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "last_synced_at": { + "name": "last_synced_at", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "last_modified_local": { + "name": "last_modified_local", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "last_modified_remote": { + "name": "last_modified_remote", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "sync_status": { + "name": "sync_status", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": "'synced'" + }, + "conflict_data": { + "name": "conflict_data", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "error_message": { + "name": "error_message", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "retry_count": { + "name": "retry_count", + "type": "integer", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": 0 + }, + "created_at": { + "name": "created_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "updated_at": { + "name": "updated_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + } + }, + "indexes": {}, + "foreignKeys": {}, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + }, + "payments": { + "name": "payments", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "netsuite_id": { + "name": "netsuite_id", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "customer_id": { + "name": "customer_id", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "vendor_id": { + "name": "vendor_id", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "project_id": { + "name": "project_id", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "payment_type": { + "name": "payment_type", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "amount": { + "name": "amount", + "type": "real", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "payment_date": { + "name": "payment_date", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "payment_method": { + "name": "payment_method", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "reference_number": { + "name": "reference_number", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "memo": { + "name": "memo", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "created_at": { + "name": "created_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "updated_at": { + "name": "updated_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + } + }, + "indexes": {}, + "foreignKeys": { + "payments_customer_id_customers_id_fk": { + "name": "payments_customer_id_customers_id_fk", + "tableFrom": "payments", + "tableTo": "customers", + "columnsFrom": [ + "customer_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "no action", + "onUpdate": "no action" + }, + "payments_vendor_id_vendors_id_fk": { + "name": "payments_vendor_id_vendors_id_fk", + "tableFrom": "payments", + "tableTo": "vendors", + "columnsFrom": [ + "vendor_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "no action", + "onUpdate": "no action" + }, + "payments_project_id_projects_id_fk": { + "name": "payments_project_id_projects_id_fk", + "tableFrom": "payments", + "tableTo": "projects", + "columnsFrom": [ + "project_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "no action", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + }, + "vendor_bills": { + "name": "vendor_bills", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "netsuite_id": { + "name": "netsuite_id", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "vendor_id": { + "name": "vendor_id", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "project_id": { + "name": "project_id", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "bill_number": { + "name": "bill_number", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "status": { + "name": "status", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": "'pending'" + }, + "bill_date": { + "name": "bill_date", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "due_date": { + "name": "due_date", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "subtotal": { + "name": "subtotal", + "type": "real", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": 0 + }, + "tax": { + "name": "tax", + "type": "real", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": 0 + }, + "total": { + "name": "total", + "type": "real", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": 0 + }, + "amount_paid": { + "name": "amount_paid", + "type": "real", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": 0 + }, + "amount_due": { + "name": "amount_due", + "type": "real", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": 0 + }, + "memo": { + "name": "memo", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "line_items": { + "name": "line_items", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "created_at": { + "name": "created_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "updated_at": { + "name": "updated_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + } + }, + "indexes": {}, + "foreignKeys": { + "vendor_bills_vendor_id_vendors_id_fk": { + "name": "vendor_bills_vendor_id_vendors_id_fk", + "tableFrom": "vendor_bills", + "tableTo": "vendors", + "columnsFrom": [ + "vendor_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "no action", + "onUpdate": "no action" + }, + "vendor_bills_project_id_projects_id_fk": { + "name": "vendor_bills_project_id_projects_id_fk", + "tableFrom": "vendor_bills", + "tableTo": "projects", + "columnsFrom": [ + "project_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "no action", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + }, + "plugin_config": { + "name": "plugin_config", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "plugin_id": { + "name": "plugin_id", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "key": { + "name": "key", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "value": { + "name": "value", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "is_encrypted": { + "name": "is_encrypted", + "type": "integer", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": false + }, + "updated_at": { + "name": "updated_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + } + }, + "indexes": {}, + "foreignKeys": { + "plugin_config_plugin_id_plugins_id_fk": { + "name": "plugin_config_plugin_id_plugins_id_fk", + "tableFrom": "plugin_config", + "tableTo": "plugins", + "columnsFrom": [ + "plugin_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "cascade", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + }, + "plugin_events": { + "name": "plugin_events", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "plugin_id": { + "name": "plugin_id", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "event_type": { + "name": "event_type", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "details": { + "name": "details", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "user_id": { + "name": "user_id", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "created_at": { + "name": "created_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + } + }, + "indexes": {}, + "foreignKeys": { + "plugin_events_plugin_id_plugins_id_fk": { + "name": "plugin_events_plugin_id_plugins_id_fk", + "tableFrom": "plugin_events", + "tableTo": "plugins", + "columnsFrom": [ + "plugin_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "plugin_events_user_id_users_id_fk": { + "name": "plugin_events_user_id_users_id_fk", + "tableFrom": "plugin_events", + "tableTo": "users", + "columnsFrom": [ + "user_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "no action", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + }, + "plugins": { + "name": "plugins", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "name": { + "name": "name", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "description": { + "name": "description", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "version": { + "name": "version", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "source": { + "name": "source", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "source_type": { + "name": "source_type", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "capabilities": { + "name": "capabilities", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "required_env_vars": { + "name": "required_env_vars", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "status": { + "name": "status", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": "'disabled'" + }, + "status_reason": { + "name": "status_reason", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "enabled_by": { + "name": "enabled_by", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "enabled_at": { + "name": "enabled_at", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "installed_at": { + "name": "installed_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "updated_at": { + "name": "updated_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + } + }, + "indexes": {}, + "foreignKeys": { + "plugins_enabled_by_users_id_fk": { + "name": "plugins_enabled_by_users_id_fk", + "tableFrom": "plugins", + "tableTo": "users", + "columnsFrom": [ + "enabled_by" + ], + "columnsTo": [ + "id" + ], + "onDelete": "no action", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + }, + "agent_items": { + "name": "agent_items", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true, + "autoincrement": false + }, + "user_id": { + "name": "user_id", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "conversation_id": { + "name": "conversation_id", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "type": { + "name": "type", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "title": { + "name": "title", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "content": { + "name": "content", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "done": { + "name": "done", + "type": "integer", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": false + }, + "sort_order": { + "name": "sort_order", + "type": "integer", + "primaryKey": false, + "notNull": true, + "autoincrement": false, + "default": 0 + }, + "parent_id": { + "name": "parent_id", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "metadata": { + "name": "metadata", + "type": "text", + "primaryKey": false, + "notNull": false, + "autoincrement": false + }, + "created_at": { + "name": "created_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + }, + "updated_at": { + "name": "updated_at", + "type": "text", + "primaryKey": false, + "notNull": true, + "autoincrement": false + } + }, + "indexes": {}, + "foreignKeys": { + "agent_items_user_id_users_id_fk": { + "name": "agent_items_user_id_users_id_fk", + "tableFrom": "agent_items", + "tableTo": "users", + "columnsFrom": [ + "user_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "cascade", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "checkConstraints": {} + } + }, + "views": {}, + "enums": {}, + "_meta": { + "schemas": {}, + "tables": {}, + "columns": {} + }, + "internal": { + "indexes": {} + } +} \ No newline at end of file diff --git a/drizzle/meta/_journal.json b/drizzle/meta/_journal.json index ecf47bf..6df8d58 100755 --- a/drizzle/meta/_journal.json +++ b/drizzle/meta/_journal.json @@ -64,6 +64,34 @@ "when": 1770320934942, "tag": "0008_superb_lifeguard", "breakpoints": true + }, + { + "idx": 9, + "version": "6", + "when": 1770343768032, + "tag": "0009_curious_matthew_murdock", + "breakpoints": true + }, + { + "idx": 10, + "version": "6", + "when": 1770345545163, + "tag": "0010_busy_shockwave", + "breakpoints": true + }, + { + "idx": 11, + "version": "6", + "when": 1770353981978, + "tag": "0011_damp_shiver_man", + "breakpoints": true + }, + { + "idx": 12, + "version": "6", + "when": 1770389906158, + "tag": "0012_chilly_lake", + "breakpoints": true } ] } \ No newline at end of file diff --git a/next.config.ts b/next.config.ts index 991ce9d..ebd7035 100755 --- a/next.config.ts +++ b/next.config.ts @@ -22,5 +22,9 @@ export default nextConfig; // Enable calling `getCloudflareContext()` in `next dev`. // See https://opennext.js.org/cloudflare/bindings#local-access-to-bindings. -import { initOpenNextCloudflareForDev } from "@opennextjs/cloudflare"; -initOpenNextCloudflareForDev(); +// Only init in dev -- build and lint don't need the wrangler proxy. +if (process.env.NODE_ENV === "development") { + import("@opennextjs/cloudflare").then((mod) => + mod.initOpenNextCloudflareForDev() + ); +} diff --git a/package.json b/package.json index 673a88f..9acb2cc 100755 --- a/package.json +++ b/package.json @@ -57,7 +57,8 @@ "@tanstack/react-table": "^8.21.3", "@workos-inc/authkit-nextjs": "^2.13.0", "@workos-inc/node": "^8.1.0", - "ai": "^6.0.72", + "@xyflow/react": "^12.10.0", + "ai": "^6.0.73", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "cmdk": "^1.1.1", @@ -68,6 +69,7 @@ "frappe-gantt": "^1.0.4", "input-otp": "^1.4.2", "lucide-react": "^0.563.0", + "motion": "^12.33.0", "nanoid": "^5.1.6", "next": "15.5.9", "next-themes": "^0.4.6", @@ -81,10 +83,13 @@ "recharts": "2.15.4", "remark-gfm": "4", "remeda": "2", - "shiki": "1", + "shiki": "^3.22.0", "sonner": "^2.0.7", + "streamdown": "^2.1.0", "tailwind-merge": "^3.4.0", + "tokenlens": "^1.3.1", "tw-animate-css": "^1.4.0", + "use-stick-to-bottom": "^1.1.2", "vaul": "^1.1.2", "zod": "^4.3.5" }, @@ -98,6 +103,7 @@ "eslint": "^9", "eslint-config-next": "15.4.6", "husky": "^9.1.7", + "media-chrome": "^4.17.2", "tailwindcss": "^4", "typescript": "^5", "wrangler": "^4.59.3" diff --git a/src/app/actions/agent-items.ts b/src/app/actions/agent-items.ts new file mode 100755 index 0000000..90da4de --- /dev/null +++ b/src/app/actions/agent-items.ts @@ -0,0 +1,174 @@ +"use server" + +import { getCloudflareContext } from "@opennextjs/cloudflare" +import { getDb } from "@/db" +import { agentItems } from "@/db/schema-agent" +import { eq, and } from "drizzle-orm" + +function uuid(): string { + return crypto.randomUUID() +} + +function now(): string { + return new Date().toISOString() +} + +export async function createAgentItem(data: { + readonly userId: string + readonly type: "todo" | "note" | "checklist" + readonly title: string + readonly content?: string + readonly conversationId?: string + readonly parentId?: string + readonly metadata?: Record +}): Promise< + | { success: true; id: string } + | { success: false; error: string } +> { + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + const id = uuid() + const ts = now() + + await db.insert(agentItems).values({ + id, + userId: data.userId, + type: data.type, + title: data.title, + content: data.content ?? null, + conversationId: data.conversationId ?? null, + parentId: data.parentId ?? null, + metadata: data.metadata + ? JSON.stringify(data.metadata) + : null, + done: false, + sortOrder: 0, + createdAt: ts, + updatedAt: ts, + }) + + return { success: true, id } +} + +export async function updateAgentItem( + id: string, + data: Record, + userId: string, +): Promise<{ success: boolean; error?: string }> { + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + + const existing = await db + .select() + .from(agentItems) + .where( + and(eq(agentItems.id, id), eq(agentItems.userId, userId)) + ) + .get() + + if (!existing) { + return { success: false, error: "Item not found" } + } + + const updates: Record = { + updatedAt: now(), + } + + if (data.title !== undefined) updates.title = data.title + if (data.content !== undefined) updates.content = data.content + if (data.done !== undefined) updates.done = data.done + if (data.sortOrder !== undefined) + updates.sortOrder = data.sortOrder + if (data.metadata !== undefined) + updates.metadata = JSON.stringify(data.metadata) + + await db + .update(agentItems) + .set(updates) + .where(eq(agentItems.id, id)) + + return { success: true } +} + +export async function deleteAgentItem( + id: string, + userId: string, +): Promise<{ success: boolean; error?: string }> { + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + + const existing = await db + .select() + .from(agentItems) + .where( + and(eq(agentItems.id, id), eq(agentItems.userId, userId)) + ) + .get() + + if (!existing) { + return { success: false, error: "Item not found" } + } + + await db + .delete(agentItems) + .where(eq(agentItems.id, id)) + + return { success: true } +} + +export async function toggleAgentItem( + id: string, + userId: string, +): Promise<{ success: boolean; error?: string }> { + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + + const existing = await db + .select() + .from(agentItems) + .where( + and(eq(agentItems.id, id), eq(agentItems.userId, userId)) + ) + .get() + + if (!existing) { + return { success: false, error: "Item not found" } + } + + await db + .update(agentItems) + .set({ + done: !existing.done, + updatedAt: now(), + }) + .where(eq(agentItems.id, id)) + + return { success: true } +} + +export async function getAgentItems( + userId: string, + conversationId?: string, +): Promise> { + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + + if (conversationId) { + return db + .select() + .from(agentItems) + .where( + and( + eq(agentItems.userId, userId), + eq(agentItems.conversationId, conversationId) + ) + ) + .all() + } + + return db + .select() + .from(agentItems) + .where(eq(agentItems.userId, userId)) + .all() +} diff --git a/src/app/actions/github.ts b/src/app/actions/github.ts new file mode 100755 index 0000000..354747a --- /dev/null +++ b/src/app/actions/github.ts @@ -0,0 +1,44 @@ +"use server" + +const REPO = "High-Performance-Structures/compass" + +interface RepoStats { + readonly stargazers_count: number + readonly forks_count: number + readonly open_issues_count: number + readonly subscribers_count: number +} + +export async function getRepoStats(): Promise { + try { + const { getCloudflareContext } = await import( + "@opennextjs/cloudflare" + ) + const { env } = await getCloudflareContext() + const token = ( + env as unknown as Record + ).GITHUB_TOKEN as string | undefined + + const headers: Record = { + Accept: "application/vnd.github+json", + "User-Agent": "compass-dashboard", + } + if (token) headers.Authorization = `Bearer ${token}` + + const res = await fetch( + `https://api.github.com/repos/${REPO}`, + { headers } + ) + if (!res.ok) return null + + const data = (await res.json()) as Record + return { + stargazers_count: data.stargazers_count as number, + forks_count: data.forks_count as number, + open_issues_count: data.open_issues_count as number, + subscribers_count: data.subscribers_count as number, + } + } catch { + return null + } +} diff --git a/src/app/actions/memories.ts b/src/app/actions/memories.ts new file mode 100755 index 0000000..af7d486 --- /dev/null +++ b/src/app/actions/memories.ts @@ -0,0 +1,102 @@ +"use server" + +import { getCloudflareContext } from "@opennextjs/cloudflare" +import { eq, and, desc } from "drizzle-orm" +import { getDb } from "@/db" +import { slabMemories } from "@/db/schema" +import type { SlabMemory } from "@/db/schema" +import { getCurrentUser } from "@/lib/auth" + +export async function getSlabMemories(): Promise< + | { success: true; memories: ReadonlyArray } + | { success: false; error: string } +> { + try { + const user = await getCurrentUser() + if (!user) return { success: false, error: "Not authenticated" } + + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + + const rows = await db + .select() + .from(slabMemories) + .where(eq(slabMemories.userId, user.id)) + .orderBy(desc(slabMemories.createdAt)) + + return { success: true, memories: rows } + } catch (err) { + return { + success: false, + error: err instanceof Error ? err.message : "Failed to load memories", + } + } +} + +export async function deleteSlabMemory( + id: string, +): Promise<{ success: true } | { success: false; error: string }> { + try { + const user = await getCurrentUser() + if (!user) return { success: false, error: "Not authenticated" } + + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + + const deleted = await db + .delete(slabMemories) + .where( + and( + eq(slabMemories.id, id), + eq(slabMemories.userId, user.id), + ), + ) + .returning({ id: slabMemories.id }) + + if (deleted.length === 0) { + return { success: false, error: "Memory not found" } + } + + return { success: true } + } catch (err) { + return { + success: false, + error: err instanceof Error ? err.message : "Failed to delete", + } + } +} + +export async function toggleSlabMemoryPin( + id: string, + pinned: boolean, +): Promise<{ success: true } | { success: false; error: string }> { + try { + const user = await getCurrentUser() + if (!user) return { success: false, error: "Not authenticated" } + + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + + const updated = await db + .update(slabMemories) + .set({ pinned }) + .where( + and( + eq(slabMemories.id, id), + eq(slabMemories.userId, user.id), + ), + ) + .returning({ id: slabMemories.id }) + + if (updated.length === 0) { + return { success: false, error: "Memory not found" } + } + + return { success: true } + } catch (err) { + return { + success: false, + error: err instanceof Error ? err.message : "Failed to update", + } + } +} diff --git a/src/app/actions/plugins.ts b/src/app/actions/plugins.ts new file mode 100755 index 0000000..629af66 --- /dev/null +++ b/src/app/actions/plugins.ts @@ -0,0 +1,226 @@ +"use server" + +import { getCloudflareContext } from "@opennextjs/cloudflare" +import { eq } from "drizzle-orm" +import { getDb } from "@/db" +import { + plugins, + pluginConfig, + pluginEvents, +} from "@/db/schema-plugins" +import { getCurrentUser } from "@/lib/auth" +import { fetchSkillFromGitHub } from "@/lib/agent/plugins/skills-client" +import { clearRegistryCache } from "@/lib/agent/plugins/registry" + +function skillId(source: string): string { + return "skill-" + source.replace(/\//g, "-").toLowerCase() +} + +export async function installSkill(source: string): Promise< + | { readonly success: true; readonly plugin: { readonly id: string; readonly name: string } } + | { readonly success: false; readonly error: string } +> { + const user = await getCurrentUser() + if (!user) return { success: false, error: "not authenticated" } + + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + + const id = skillId(source) + const now = new Date().toISOString() + + const existing = await db.query.plugins.findFirst({ + where: (p, { eq: e }) => e(p.id, id), + }) + if (existing) { + return { + success: false, + error: `skill "${source}" is already installed`, + } + } + + const result = await fetchSkillFromGitHub(source) + if (!result.success) { + return { success: false, error: result.error } + } + + const { frontmatter, body } = result.skill + + await db.insert(plugins).values({ + id, + name: frontmatter.name, + description: frontmatter.description, + version: "1.0.0", + source, + sourceType: "skills", + capabilities: "prompt", + status: "enabled", + enabledBy: user.id, + enabledAt: now, + installedAt: now, + updatedAt: now, + }) + + await db.insert(pluginConfig).values({ + id: crypto.randomUUID(), + pluginId: id, + key: "content", + value: body, + updatedAt: now, + }) + + if (frontmatter.allowedTools) { + await db.insert(pluginConfig).values({ + id: crypto.randomUUID(), + pluginId: id, + key: "allowedTools", + value: frontmatter.allowedTools, + updatedAt: now, + }) + } + + await db.insert(pluginEvents).values({ + id: crypto.randomUUID(), + pluginId: id, + eventType: "installed", + details: `installed from ${source} by ${user.email}`, + userId: user.id, + createdAt: now, + }) + + clearRegistryCache() + + return { + success: true, + plugin: { id, name: frontmatter.name }, + } +} + +export async function uninstallSkill(pluginId: string): Promise< + | { readonly success: true } + | { readonly success: false; readonly error: string } +> { + const user = await getCurrentUser() + if (!user) return { success: false, error: "not authenticated" } + + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + + const existing = await db.query.plugins.findFirst({ + where: (p, { eq: e }) => e(p.id, pluginId), + }) + if (!existing) { + return { success: false, error: "skill not found" } + } + + await db + .delete(pluginEvents) + .where(eq(pluginEvents.pluginId, pluginId)) + await db + .delete(pluginConfig) + .where(eq(pluginConfig.pluginId, pluginId)) + await db + .delete(plugins) + .where(eq(plugins.id, pluginId)) + + clearRegistryCache() + return { success: true } +} + +export async function toggleSkill( + pluginId: string, + enabled: boolean, +): Promise< + | { readonly success: true } + | { readonly success: false; readonly error: string } +> { + const user = await getCurrentUser() + if (!user) return { success: false, error: "not authenticated" } + + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + const now = new Date().toISOString() + + const existing = await db.query.plugins.findFirst({ + where: (p, { eq: e }) => e(p.id, pluginId), + }) + if (!existing) { + return { success: false, error: "skill not found" } + } + + const status = enabled ? "enabled" : "disabled" + + await db + .update(plugins) + .set({ + status, + enabledBy: enabled ? user.id : null, + enabledAt: enabled ? now : null, + updatedAt: now, + }) + .where(eq(plugins.id, pluginId)) + + await db.insert(pluginEvents).values({ + id: crypto.randomUUID(), + pluginId, + eventType: status, + details: `${status} by ${user.email}`, + userId: user.id, + createdAt: now, + }) + + clearRegistryCache() + return { success: true } +} + +interface InstalledSkill { + readonly id: string + readonly name: string + readonly description: string | null + readonly source: string + readonly status: string + readonly installedAt: string + readonly contentPreview: string | null +} + +export async function getInstalledSkills(): Promise< + | { + readonly success: true + readonly skills: ReadonlyArray + } + | { readonly success: false; readonly error: string } +> { + const user = await getCurrentUser() + if (!user) return { success: false, error: "not authenticated" } + + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + + const rows = await db + .select() + .from(plugins) + .where(eq(plugins.sourceType, "skills")) + + const skills: Array = [] + + for (const row of rows) { + const configRow = await db.query.pluginConfig.findFirst({ + where: (c, { and: a, eq: e }) => + a(e(c.pluginId, row.id), e(c.key, "content")), + }) + + skills.push({ + id: row.id, + name: row.name, + description: row.description, + source: row.source, + status: row.status, + installedAt: row.installedAt, + contentPreview: configRow + ? configRow.value.slice(0, 200) + : null, + }) + } + + return { success: true, skills } +} diff --git a/src/app/api/agent/action/route.ts b/src/app/api/agent/action/route.ts new file mode 100755 index 0000000..08eb748 --- /dev/null +++ b/src/app/api/agent/action/route.ts @@ -0,0 +1,75 @@ +import { getCurrentUser } from "@/lib/auth" +import { + actionRegistry, + checkActionPermission, +} from "@/lib/agent/render/action-registry" + +export async function POST( + req: Request, +): Promise { + const user = await getCurrentUser() + if (!user) { + return Response.json( + { success: false, error: "Unauthorized" }, + { status: 401 }, + ) + } + + const body = await req.json() as { + action?: string + params?: Record + } + + const { action, params } = body + + if (!action || typeof action !== "string") { + return Response.json( + { success: false, error: "Missing action name" }, + { status: 400 }, + ) + } + + const def = actionRegistry[action] + if (!def) { + return Response.json( + { + success: false, + error: `Unknown action: ${action}`, + }, + { status: 400 }, + ) + } + + if (!checkActionPermission(user, action)) { + return Response.json( + { + success: false, + error: "You don't have permission for this action", + }, + { status: 403 }, + ) + } + + const parsed = def.schema.safeParse(params ?? {}) + if (!parsed.success) { + const fieldErrors = parsed.error.issues + .map((i) => `${i.path.join(".")}: ${i.message}`) + .join(", ") + return Response.json( + { + success: false, + error: `Validation failed: ${fieldErrors}`, + }, + { status: 400 }, + ) + } + + const result = await def.execute( + parsed.data as Record, + user.id, + ) + + return Response.json(result, { + status: result.success ? 200 : 500, + }) +} diff --git a/src/app/api/agent/render/route.ts b/src/app/api/agent/render/route.ts new file mode 100755 index 0000000..e328109 --- /dev/null +++ b/src/app/api/agent/render/route.ts @@ -0,0 +1,118 @@ +import { streamText } from "ai" +import { getAgentModel } from "@/lib/agent/provider" +import { getCurrentUser } from "@/lib/auth" +import { compassCatalog } from "@/lib/agent/render/catalog" + +const SYSTEM_PROMPT = compassCatalog.prompt({ + customRules: [ + "Card should be root element for dashboards", + "Use Grid/Stack for layouts, not nested Cards", + "NEVER use viewport height classes " + + "(min-h-screen, h-screen)", + "NEVER use page background colors " + + "(bg-gray-50) - container has its own background", + "Use real data from the AVAILABLE DATA section", + "ALWAYS use SchedulePreview for ANY schedule " + + "or timeline display. Set groupByPhase=true. " + + "NEVER compose schedules from primitives.", + "ALWAYS use StatCard for single metrics", + "ALWAYS use DataTable for tabular data - " + + "use format='badge' for status columns", + "ALWAYS use InvoiceTable for invoice-specific data", + "ProjectSummary for project overviews", + "Badge variant should match semantic meaning: " + + "success for complete/paid, warning for pending, " + + "danger for overdue/delayed", + "Use CodeBlock for code snippets with appropriate " + + "language identifier", + "ALWAYS use DiffView for git diffs and code " + + "changes - pass files array from commit_diff data", + "Use Form component to wrap inputs when creating " + + "or editing records. Set action to dotted name " + + "(e.g. 'customer.create') and formId to a unique " + + "string. For edits, set value prop on inputs and " + + "pass record id via actionParams.", + "For to-do lists / checklists, use Checkbox with " + + "onChangeAction='agentItem.toggle' and " + + "onChangeParams={id: ''}.", + "For tables with delete buttons, use DataTable " + + "with rowIdKey='id' and rowActions=[{label: " + + "'Delete', action: 'customer.delete', " + + "variant: 'danger'}].", + "Available mutation actions: customer.create, " + + "customer.update, customer.delete, " + + "vendor.create, vendor.update, vendor.delete, " + + "invoice.create, invoice.update, invoice.delete, " + + "vendorBill.create, vendorBill.update, " + + "vendorBill.delete, schedule.create, " + + "schedule.update, schedule.delete, " + + "agentItem.create, agentItem.update, " + + "agentItem.delete, agentItem.toggle", + ], +}) + +const MAX_PROMPT_LENGTH = 2000 + +export async function POST( + req: Request +): Promise { + const user = await getCurrentUser() + if (!user) { + return new Response("Unauthorized", { status: 401 }) + } + + const { prompt, context } = (await req.json()) as { + prompt: string + context?: Record + } + + const previousSpec = context?.previousSpec as + | { root?: string; elements?: Record } + | undefined + + const sanitizedPrompt = String(prompt || "").slice( + 0, + MAX_PROMPT_LENGTH + ) + + let userPrompt = sanitizedPrompt + + // include data context if provided + const dataContext = context?.dataContext as + | Record + | undefined + if (dataContext && Object.keys(dataContext).length > 0) { + userPrompt += `\n\nAVAILABLE DATA:\n${JSON.stringify(dataContext, null, 2)}` + } + + // include previous spec for iterative updates + if ( + previousSpec?.root && + previousSpec.elements && + Object.keys(previousSpec.elements).length > 0 + ) { + userPrompt = `CURRENT UI STATE (already loaded, DO NOT recreate existing elements): +${JSON.stringify(previousSpec, null, 2)} + +USER REQUEST: ${userPrompt} + +IMPORTANT: The current UI is already loaded. Output ONLY the patches needed to make the requested change: +- To add a new element: {"op":"add","path":"/elements/new-key","value":{...}} +- To modify an existing element: {"op":"set","path":"/elements/existing-key","value":{...}} +- To update the root: {"op":"set","path":"/root","value":"new-root-key"} +- To add children: update the parent element with new children array + +DO NOT output patches for elements that don't need to change. Only output what's necessary for the requested modification.` + } + + const model = await getAgentModel() + + const result = streamText({ + model, + system: SYSTEM_PROMPT, + prompt: userPrompt, + temperature: 0.7, + }) + + return result.toTextStreamResponse() +} diff --git a/src/app/api/agent/route.ts b/src/app/api/agent/route.ts index 075246b..1020fe8 100755 --- a/src/app/api/agent/route.ts +++ b/src/app/api/agent/route.ts @@ -4,10 +4,15 @@ import { convertToModelMessages, type UIMessage, } from "ai" +import { getCloudflareContext } from "@opennextjs/cloudflare" import { getAgentModel } from "@/lib/agent/provider" import { agentTools } from "@/lib/agent/tools" +import { githubTools } from "@/lib/agent/github-tools" import { buildSystemPrompt } from "@/lib/agent/system-prompt" +import { loadMemoriesForPrompt } from "@/lib/agent/memory" +import { getRegistry } from "@/lib/agent/plugins/registry" import { getCurrentUser } from "@/lib/auth" +import { getDb } from "@/db" export async function POST(req: Request): Promise { const user = await getCurrentUser() @@ -15,6 +20,17 @@ export async function POST(req: Request): Promise { return new Response("Unauthorized", { status: 401 }) } + const { env } = await getCloudflareContext() + const db = getDb(env.DB) + const envRecord = env as unknown as Record + + const [memories, registry] = await Promise.all([ + loadMemoriesForPrompt(db, user.id), + getRegistry(db, envRecord), + ]) + + const pluginSections = registry.getPromptSections() + const body = await req.json() as { messages: UIMessage[] } @@ -30,9 +46,11 @@ export async function POST(req: Request): Promise { userName: user.displayName ?? user.email, userRole: user.role, currentPage, + memories, + pluginSections, }), messages: await convertToModelMessages(body.messages), - tools: agentTools, + tools: { ...agentTools, ...githubTools }, stopWhen: stepCountIs(10), }) diff --git a/src/app/api/transcribe/route.ts b/src/app/api/transcribe/route.ts new file mode 100755 index 0000000..0d6236f --- /dev/null +++ b/src/app/api/transcribe/route.ts @@ -0,0 +1,48 @@ +import { getCloudflareContext } from "@opennextjs/cloudflare" +import { getCurrentUser } from "@/lib/auth" + +function toBase64(buffer: ArrayBuffer): string { + const bytes = new Uint8Array(buffer) + let binary = "" + for (const byte of bytes) { + binary += String.fromCharCode(byte) + } + return btoa(binary) +} + +export async function POST(req: Request): Promise { + const user = await getCurrentUser() + if (!user) { + return Response.json( + { error: "Unauthorized" }, + { status: 401 } + ) + } + + const formData = await req.formData() + const audioFile = formData.get("audio") + + if (!(audioFile instanceof Blob)) { + return Response.json( + { error: "Missing audio blob in form data" }, + { status: 400 } + ) + } + + const { env } = await getCloudflareContext() + const buffer = await audioFile.arrayBuffer() + + const result = await env.AI.run( + "@cf/openai/whisper-large-v3-turbo", + { + audio: toBase64(buffer), + task: "transcribe", + vad_filter: true, + } + ) + + return Response.json({ + text: result.text.trim(), + duration: result.transcription_info?.duration ?? 0, + }) +} diff --git a/src/app/dashboard/layout.tsx b/src/app/dashboard/layout.tsx index e08b1f8..42f7e0d 100755 --- a/src/app/dashboard/layout.tsx +++ b/src/app/dashboard/layout.tsx @@ -9,8 +9,9 @@ import { FeedbackWidget } from "@/components/feedback-widget" import { PageActionsProvider } from "@/components/page-actions-provider" import { DashboardContextMenu } from "@/components/dashboard-context-menu" import { Toaster } from "@/components/ui/sonner" -import { ChatPanel } from "@/components/agent/chat-panel" -import { AgentProvider } from "@/components/agent/agent-provider" +import { ChatPanelShell } from "@/components/agent/chat-panel-shell" +import { MainContent } from "@/components/agent/main-content" +import { ChatProvider } from "@/components/agent/chat-provider" import { SidebarInset, SidebarProvider, @@ -32,7 +33,7 @@ export default async function DashboardLayout({ return ( - + @@ -51,13 +52,11 @@ export default async function DashboardLayout({
-
-
+ {children} -
-
+ - +
@@ -70,7 +69,7 @@ export default async function DashboardLayout({ - + ) } diff --git a/src/app/dashboard/page.tsx b/src/app/dashboard/page.tsx index b82489e..e0f9612 100755 --- a/src/app/dashboard/page.tsx +++ b/src/app/dashboard/page.tsx @@ -1,44 +1,16 @@ -export const dynamic = "force-dynamic" +"use client" -import { DashboardChat } from "@/components/dashboard-chat" +import { useRenderState } from "@/components/agent/chat-provider" +import { RenderedView } from "@/components/agent/rendered-view" +import { ChatView } from "@/components/agent/chat-view" -type RepoStats = { - stargazers_count: number - forks_count: number - open_issues_count: number - subscribers_count: number -} +export default function Page() { + const { spec, isRendering } = useRenderState() + const hasRenderedUI = !!spec?.root || isRendering -const REPO = "High-Performance-Structures/compass" - -async function getRepoStats(): Promise { - try { - const { getCloudflareContext } = await import( - "@opennextjs/cloudflare" - ) - const { env } = await getCloudflareContext() - const token = (env as unknown as Record) - .GITHUB_TOKEN as string | undefined - - const headers: Record = { - Accept: "application/vnd.github+json", - "User-Agent": "compass-dashboard", - } - if (token) headers.Authorization = `Bearer ${token}` - - const res = await fetch( - `https://api.github.com/repos/${REPO}`, - { next: { revalidate: 300 }, headers } - ) - if (!res.ok) return null - return (await res.json()) as RepoStats - } catch { - return null + if (hasRenderedUI) { + return } -} -export default async function Page() { - const stats = await getRepoStats() - - return + return } diff --git a/src/app/globals.css b/src/app/globals.css index 32be34a..baadd2e 100755 --- a/src/app/globals.css +++ b/src/app/globals.css @@ -3,6 +3,20 @@ @custom-variant dark (&:is(.dark *)); +/* agent navigation crossfade */ +::view-transition-old(root) { + animation: 150ms ease-out both fade-out; +} +::view-transition-new(root) { + animation: 200ms ease-in 80ms both fade-in; +} +@keyframes fade-out { + to { opacity: 0; } +} +@keyframes fade-in { + from { opacity: 0; } +} + @theme inline { --color-background: var(--background); --color-foreground: var(--foreground); @@ -129,7 +143,7 @@ .dark { --background: oklch(0.2178 0 0); - --foreground: oklch(0.8074 0.0142 93.0137); + --foreground: oklch(0.9300 0.0080 93.0137); --card: oklch(0.2679 0.0036 106.6427); --card-foreground: oklch(0.9818 0.0054 95.0986); --popover: oklch(0.3085 0.0035 106.6039); @@ -139,7 +153,7 @@ --secondary: oklch(0.9245 0.0138 92.9892); --secondary-foreground: oklch(0.6714 0.1207 167.7754); --muted: oklch(0.2561 0.0071 145.3653); - --muted-foreground: oklch(0.7713 0.0169 99.0657); + --muted-foreground: oklch(0.8200 0.0120 99.0657); --accent: oklch(0.7722 0.0508 173.4329); --accent-foreground: oklch(0 0 0); --destructive: oklch(0.6507 0.1836 39.0189); diff --git a/src/components/agent/agent-provider.tsx b/src/components/agent/agent-provider.tsx deleted file mode 100755 index eaeec5a..0000000 --- a/src/components/agent/agent-provider.tsx +++ /dev/null @@ -1,50 +0,0 @@ -/** - * Agent Provider - * - * Provides context for controlling the chat panel from anywhere in the app. - */ - -"use client" - -import * as React from "react" - -interface AgentContextValue { - isOpen: boolean - open: () => void - close: () => void - toggle: () => void -} - -const AgentContext = React.createContext(null) - -export function AgentProvider({ children }: { children: React.ReactNode }) { - const [isOpen, setIsOpen] = React.useState(false) - - const contextValue = React.useMemo( - () => ({ - isOpen, - open: () => setIsOpen(true), - close: () => setIsOpen(false), - toggle: () => setIsOpen((prev) => !prev), - }), - [isOpen] - ) - - return ( - - {children} - - ) -} - -export function useAgent() { - const context = React.useContext(AgentContext) - if (!context) { - throw new Error("useAgent must be used within an AgentProvider") - } - return context -} - -export function useAgentOptional() { - return React.useContext(AgentContext) -} diff --git a/src/components/agent/chat-panel-shell.tsx b/src/components/agent/chat-panel-shell.tsx new file mode 100755 index 0000000..1f8797b --- /dev/null +++ b/src/components/agent/chat-panel-shell.tsx @@ -0,0 +1,164 @@ +"use client" + +import { useState, useEffect, useRef, useCallback } from "react" +import { usePathname } from "next/navigation" +import { MessageSquare } from "lucide-react" +import { Button } from "@/components/ui/button" +import { cn } from "@/lib/utils" +import { + useChatPanel, + useChatState, + useRenderState, +} from "./chat-provider" +import { ChatView } from "./chat-view" + +export function ChatPanelShell() { + const { isOpen, open, close, toggle } = useChatPanel() + const chat = useChatState() + const { spec: renderSpec, isRendering } = + useRenderState() + const pathname = usePathname() + const hasRenderedUI = !!renderSpec?.root || isRendering + // dashboard acts as "page" variant only when NOT rendering + const isDashboard = + pathname === "/dashboard" && !hasRenderedUI + + // auto-open panel when leaving dashboard with messages + const prevIsDashboard = useRef(isDashboard) + useEffect(() => { + if ( + prevIsDashboard.current && + !isDashboard && + chat.messages.length > 0 + ) { + open() + } + prevIsDashboard.current = isDashboard + }, [isDashboard, chat.messages.length, open]) + + // resize state (panel mode only) + const [panelWidth, setPanelWidth] = useState(480) + const [isResizing, setIsResizing] = useState(false) + const dragStartX = useRef(0) + const dragStartWidth = useRef(0) + + useEffect(() => { + const onMouseMove = (e: MouseEvent) => { + if (!dragStartWidth.current) return + const delta = dragStartX.current - e.clientX + const next = Math.min( + 720, + Math.max(320, dragStartWidth.current + delta) + ) + setPanelWidth(next) + } + const onMouseUp = () => { + if (!dragStartWidth.current) return + dragStartWidth.current = 0 + setIsResizing(false) + document.body.style.cursor = "" + document.body.style.userSelect = "" + } + window.addEventListener("mousemove", onMouseMove) + window.addEventListener("mouseup", onMouseUp) + return () => { + window.removeEventListener("mousemove", onMouseMove) + window.removeEventListener("mouseup", onMouseUp) + } + }, []) + + const handleResizeStart = useCallback( + (e: React.MouseEvent) => { + e.preventDefault() + setIsResizing(true) + dragStartX.current = e.clientX + dragStartWidth.current = panelWidth + document.body.style.cursor = "col-resize" + document.body.style.userSelect = "none" + }, + [panelWidth] + ) + + // keyboard shortcuts (panel mode only) + useEffect(() => { + if (isDashboard) return + + const handleKeyDown = (e: KeyboardEvent) => { + if ((e.metaKey || e.ctrlKey) && e.key === ".") { + e.preventDefault() + toggle() + } + if (e.key === "Escape" && isOpen) { + close() + } + } + + window.addEventListener("keydown", handleKeyDown) + return () => + window.removeEventListener("keydown", handleKeyDown) + }, [isDashboard, isOpen, close, toggle]) + + // container width/style for panel mode + const panelStyle = + !isDashboard && isOpen + ? { width: panelWidth } + : undefined + + return ( + <> +
+ {/* Desktop resize handle (panel mode only) */} + {!isDashboard && ( +
+ )} + + +
+ + {/* Mobile backdrop (panel mode only) */} + {!isDashboard && isOpen && ( +