diff --git a/apps/docs/concepts/content-types.mdx b/apps/docs/concepts/content-types.mdx index 5776be5c..473fad67 100644 --- a/apps/docs/concepts/content-types.mdx +++ b/apps/docs/concepts/content-types.mdx @@ -5,7 +5,7 @@ description: "All the content formats Supermemory can ingest and process" icon: "file-stack" --- -Supermemory automatically extracts and indexes content from various formats. Just send it—we handle the rest. +Supermemory automatically extracts and indexes content from various formats. Just send it—we handle the rest. See [Add Memories](/add-memories) to learn how to ingest content via the API. ## Text Content @@ -212,3 +212,16 @@ For binary content (files), always specify `contentType` for reliable processing For large files, consider chunking or using [connectors](/connectors/overview) for automatic sync. + +--- + +## Next Steps + + + + Upload content via the API + + + How content is chunked and indexed + + diff --git a/apps/docs/concepts/customization.mdx b/apps/docs/concepts/customization.mdx index b84cae6b..6107dd60 100644 --- a/apps/docs/concepts/customization.mdx +++ b/apps/docs/concepts/customization.mdx @@ -97,7 +97,7 @@ Smaller chunks generate more memories per document. Larger chunks provide more c ## Connector Branding -Show "Log in to **YourApp**" instead of "Log in to Supermemory" when users connect external services. +Show "Log in to **YourApp**" instead of "Log in to Supermemory" when users connect external services. See [Connectors Overview](/connectors/overview) for the full list of supported integrations. @@ -157,3 +157,16 @@ await client.settings.update({ Settings are organization-wide. Changes apply to new content only—existing memories aren't reprocessed. + +--- + +## Next Steps + + + + See your custom settings in action + + + Set up automatic syncing from external platforms + + diff --git a/apps/docs/concepts/filtering.mdx b/apps/docs/concepts/filtering.mdx index 162f9b09..d222e849 100644 --- a/apps/docs/concepts/filtering.mdx +++ b/apps/docs/concepts/filtering.mdx @@ -344,3 +344,16 @@ const results = await client.search.documents({ - Allowed characters: `a-z`, `A-Z`, `0-9`, `_`, `-`, `.` - Max length: 64 characters - No spaces or special characters + +--- + +## Next Steps + + + + Apply filters in search queries + + + Add content with container tags and metadata + + diff --git a/apps/docs/concepts/graph-memory.mdx b/apps/docs/concepts/graph-memory.mdx index 6ac4940f..9080ce4f 100644 --- a/apps/docs/concepts/graph-memory.mdx +++ b/apps/docs/concepts/graph-memory.mdx @@ -134,7 +134,13 @@ const results = await client.search({ Deep dive into the architecture + + When to use memory vs document retrieval + Automatic summaries from the graph + + Start building your knowledge graph + diff --git a/apps/docs/concepts/how-it-works.mdx b/apps/docs/concepts/how-it-works.mdx index 1830f7b0..9404347d 100644 --- a/apps/docs/concepts/how-it-works.mdx +++ b/apps/docs/concepts/how-it-works.mdx @@ -42,7 +42,7 @@ Documents are what you provide - the raw materials: - Images with text - Videos to transcribe -Think of documents as books you hand to Supermemory. +Think of documents as books you hand to Supermemory. See [Content Types](/concepts/content-types) for the full list of supported formats. ### Memories: Intelligent Knowledge Units @@ -63,7 +63,7 @@ Think of memories as the insights and connections your brain makes after reading ![](/images/memories-inferred.png) -The graph connects memories through three types of relationships: +The graph connects memories through three types of relationships. For a deeper dive into how these relationships work, see [Graph Memory](/concepts/graph-memory). ### Updates: Information Changes diff --git a/apps/docs/concepts/memory-vs-rag.mdx b/apps/docs/concepts/memory-vs-rag.mdx index bee60d43..bc08e94f 100644 --- a/apps/docs/concepts/memory-vs-rag.mdx +++ b/apps/docs/concepts/memory-vs-rag.mdx @@ -238,3 +238,22 @@ Stop treating memory like a retrieval problem. Your agents need both: - **Memory** for understanding users Supermemory provides both capabilities in a unified platform, ensuring your agents have the right context at the right time. + +--- + +## Next Steps + + + + How memory relationships work + + + Our managed RAG solution + + + Start ingesting content + + + Query your memories and documents + + diff --git a/apps/docs/concepts/super-rag.mdx b/apps/docs/concepts/super-rag.mdx index 3e2aafc8..ebe538bf 100644 --- a/apps/docs/concepts/super-rag.mdx +++ b/apps/docs/concepts/super-rag.mdx @@ -164,7 +164,12 @@ You focus on building your product. Supermemory handles the RAG complexity. All supported formats and how they're processed - + + The full processing pipeline + + + When to use each approach + Search parameters and optimization diff --git a/apps/docs/concepts/user-profiles.mdx b/apps/docs/concepts/user-profiles.mdx index 7b01b41e..211b4dda 100644 --- a/apps/docs/concepts/user-profiles.mdx +++ b/apps/docs/concepts/user-profiles.mdx @@ -58,13 +58,13 @@ Recent context and temporary states: Profiles are built automatically through ingestion: -1. **Ingest content** — Users add documents, chat, or any content +1. **Ingest content** — Users [add documents](/add-memories), chat, or any content 2. **Extract facts** — AI analyzes content for facts about the user 3. **Update profile** — System adds, updates, or removes facts 4. **Always current** — Profiles reflect the latest information -You don't manually manage profiles — they build themselves as users interact. +You don't manually manage profiles — they build themselves as users interact. Start by [adding content](/add-memories) to see profiles in action. --- @@ -126,10 +126,16 @@ Profiles provide: preferred languages, coding style, current project context. ## Next Steps - - Learn how to fetch and use profiles + + Fetch and use profiles via the API + + + How the underlying knowledge graph works Automatic profile injection with AI SDK + + Build profiles by adding content + diff --git a/apps/docs/cookbook/personal-assistant.mdx b/apps/docs/cookbook/personal-assistant.mdx index c33f2e61..59c3e057 100644 --- a/apps/docs/cookbook/personal-assistant.mdx +++ b/apps/docs/cookbook/personal-assistant.mdx @@ -257,7 +257,7 @@ Now the AI can answer: "Try overnight oats with plant-based protein—perfect fo ```python try: response = await openai_client.chat.completions.create( - model="gpt-4o", + model="gpt-5", messages=enhanced_messages, temperature=0.7, stream=True @@ -265,7 +265,7 @@ Now the AI can answer: "Try overnight oats with plant-based protein—perfect fo ``` **Key parameters:** -- `model="gpt-4o"`: Fast, capable model +- `model="gpt-5"`: Fast, capable model - `messages`: Full conversation + memory context - `temperature=0.7`: Balanced creativity (0=deterministic, 1=creative) - `stream=True`: Enables word-by-word streaming @@ -558,7 +558,7 @@ const containerTag = `user_${crypto.createHash('sha256').update(email).digest('h ```typescript const result = streamText({ - model: openai('gpt-4o'), + model: openai('gpt-5'), messages, tools: supermemoryTools(process.env.SUPERMEMORY_API_KEY!, { containerTags: [containerTag] @@ -569,7 +569,7 @@ const containerTag = `user_${crypto.createHash('sha256').update(email).digest('h This is where the magic happens! Let's break down each parameter: -**`model: openai('gpt-4o')`** +**`model: openai('gpt-5')`** - Specifies which AI model to use - The AI SDK handles the API calls diff --git a/apps/docs/docs.json b/apps/docs/docs.json index 0bad5cf7..bf38012a 100644 --- a/apps/docs/docs.json +++ b/apps/docs/docs.json @@ -148,9 +148,10 @@ "anchor": "Integrations", "pages": [ "integrations/supermemory-sdk", - "integrations/openai", "integrations/ai-sdk", + "integrations/openai", "integrations/memory-graph", + "integrations/claude-memory", "integrations/pipecat", "integrations/n8n", "integrations/zapier" diff --git a/apps/docs/images/anthropic-1.svg b/apps/docs/images/anthropic-1.svg new file mode 100644 index 00000000..acfa2297 --- /dev/null +++ b/apps/docs/images/anthropic-1.svg @@ -0,0 +1 @@ + diff --git a/apps/docs/integrations/claude-memory.mdx b/apps/docs/integrations/claude-memory.mdx new file mode 100644 index 00000000..4487cb77 --- /dev/null +++ b/apps/docs/integrations/claude-memory.mdx @@ -0,0 +1,269 @@ +--- +title: "Claude Memory Tool" +sidebarTitle: "Claude Memory Tool" +description: "Use Claude's native memory tool with Supermemory as the backend" +icon: "/images/anthropic-1.svg" +--- + +Claude has a native memory tool that allows it to store and retrieve information across conversations. Supermemory provides a backend implementation that maps Claude's memory commands to persistent storage. + + +This integration works with Claude's built-in `memory` tool type, introduced in the Anthropic API. It requires the `context-management` beta flag. + + +## Installation + +```bash +npm install @supermemory/tools @anthropic-ai/sdk +``` + +## Quick Start + +```typescript +import Anthropic from "@anthropic-ai/sdk" +import { createClaudeMemoryTool } from "@supermemory/tools/claude-memory" + +const anthropic = new Anthropic() + +const memoryTool = createClaudeMemoryTool(process.env.SUPERMEMORY_API_KEY!, { + projectId: "my-app", +}) + +async function chatWithMemory(userMessage: string) { + // Send message to Claude with memory tool + const response = await anthropic.beta.messages.create({ + model: "claude-sonnet-4-5", + max_tokens: 2048, + messages: [{ role: "user", content: userMessage }], + tools: [{ type: "memory_20250818", name: "memory" }], + betas: ["context-management-2025-06-27"], + }) + + // Handle any memory tool calls + const toolResults = [] + for (const block of response.content) { + if (block.type === "tool_use" && block.name === "memory") { + const toolResult = await memoryTool.handleCommandForToolResult( + block.input as any, + block.id + ) + toolResults.push(toolResult) + } + } + + // Send tool results back to Claude if needed + if (toolResults.length > 0) { + const finalResponse = await anthropic.beta.messages.create({ + model: "claude-sonnet-4-5", + max_tokens: 2048, + messages: [ + { role: "user", content: userMessage }, + { role: "assistant", content: response.content }, + { role: "user", content: toolResults }, + ], + tools: [{ type: "memory_20250818", name: "memory" }], + betas: ["context-management-2025-06-27"], + }) + + return finalResponse + } + + return response +} + +// Example usage +const response = await chatWithMemory( + "Remember that I prefer React with TypeScript for my projects" +) +console.log(response.content[0]) +``` + +## Configuration + +```typescript +import { createClaudeMemoryTool } from "@supermemory/tools/claude-memory" + +const memoryTool = createClaudeMemoryTool(process.env.SUPERMEMORY_API_KEY!, { + // Scope memories to a project or user + projectId: "my-app", + + // Or use container tags for more flexibility + containerTags: ["user-123", "project-alpha"], + + // Custom memory container prefix (default: "claude_memory") + memoryContainerTag: "my_memory_prefix", + + // Custom API endpoint + baseUrl: "https://custom.api.com", +}) +``` + +## How It Works + +Claude's memory tool uses a file-system metaphor. Supermemory maps these operations to document storage: + +| Claude Command | Supermemory Action | +|----------------|-------------------| +| `view` | Search/retrieve documents | +| `create` | Add new document | +| `str_replace` | Update document content | +| `insert` | Insert content at line | +| `delete` | Delete document | +| `rename` | Move document to new path | + +### Memory Path Structure + +All memory paths must start with `/memories/`: + +``` +/memories/preferences.txt # User preferences +/memories/projects/react.txt # Project-specific notes +/memories/context/current.txt # Current context +``` + +## Commands Reference + +### View (Read/List) + +```typescript +// List directory contents +{ command: "view", path: "/memories/" } + +// Read file contents +{ command: "view", path: "/memories/preferences.txt" } + +// Read specific lines +{ command: "view", path: "/memories/notes.txt", view_range: [1, 10] } +``` + +### Create + +```typescript +{ + command: "create", + path: "/memories/preferences.txt", + file_text: "User prefers dark mode\nFavorite language: TypeScript" +} +``` + +### String Replace + +```typescript +{ + command: "str_replace", + path: "/memories/preferences.txt", + old_str: "dark mode", + new_str: "light mode" +} +``` + +### Insert + +```typescript +{ + command: "insert", + path: "/memories/notes.txt", + insert_line: 5, + insert_text: "New note added here" +} +``` + +### Delete + +```typescript +{ command: "delete", path: "/memories/old-notes.txt" } +``` + +### Rename + +```typescript +{ + command: "rename", + path: "/memories/old-name.txt", + new_path: "/memories/new-name.txt" +} +``` + +## Complete Example + +```typescript +import Anthropic from "@anthropic-ai/sdk" +import { createClaudeMemoryTool } from "@supermemory/tools/claude-memory" + +const anthropic = new Anthropic() +const memoryTool = createClaudeMemoryTool(process.env.SUPERMEMORY_API_KEY!, { + projectId: "assistant", +}) + +async function runConversation() { + const messages: Anthropic.MessageParam[] = [] + + // Helper to chat with memory + async function chat(userMessage: string) { + messages.push({ role: "user", content: userMessage }) + + let response = await anthropic.beta.messages.create({ + model: "claude-sonnet-4-5", + max_tokens: 2048, + messages, + tools: [{ type: "memory_20250818", name: "memory" }], + betas: ["context-management-2025-06-27"], + }) + + // Handle tool calls + while (response.stop_reason === "tool_use") { + const toolResults = [] + + for (const block of response.content) { + if (block.type === "tool_use" && block.name === "memory") { + const result = await memoryTool.handleCommandForToolResult( + block.input as any, + block.id + ) + toolResults.push(result) + } + } + + messages.push({ role: "assistant", content: response.content }) + messages.push({ role: "user", content: toolResults }) + + response = await anthropic.beta.messages.create({ + model: "claude-sonnet-4-5", + max_tokens: 2048, + messages, + tools: [{ type: "memory_20250818", name: "memory" }], + betas: ["context-management-2025-06-27"], + }) + } + + messages.push({ role: "assistant", content: response.content }) + return response + } + + // Have a conversation with persistent memory + await chat("My name is Alex and I'm a backend developer") + await chat("I prefer Go for systems programming") + await chat("What do you remember about me?") +} + +runConversation() +``` + +## Environment Variables + +```bash +SUPERMEMORY_API_KEY=your_supermemory_key +ANTHROPIC_API_KEY=your_anthropic_key +``` + +## Next Steps + + + + Use with Vercel AI SDK for streamlined development + + + + Memory tools for OpenAI function calling + + diff --git a/apps/docs/integrations/openai.mdx b/apps/docs/integrations/openai.mdx index f2987b92..66b797c1 100644 --- a/apps/docs/integrations/openai.mdx +++ b/apps/docs/integrations/openai.mdx @@ -5,7 +5,14 @@ description: "Memory tools for OpenAI function calling with Supermemory integrat icon: "/images/openai.svg" --- -Add memory capabilities to the official OpenAI SDKs using Supermemory's function calling tools. These plugins provide seamless integration with OpenAI's chat completions and function calling features. +Add memory capabilities to the official OpenAI SDKs using Supermemory. Two approaches available: + +1. **`withSupermemory` wrapper** - Automatic memory injection into system prompts (zero-config) +2. **Function calling tools** - Explicit tool calls for search/add memory operations + + +**New to Supermemory?** Start with `withSupermemory` for the simplest integration. It automatically injects relevant memories into your prompts. + @@ -16,6 +23,97 @@ Add memory capabilities to the official OpenAI SDKs using Supermemory's function +--- + +## withSupermemory Wrapper + +The simplest way to add memory to your OpenAI client. Wraps your client to automatically inject relevant memories into system prompts. + +### Installation + +```bash +npm install @supermemory/tools openai +``` + +### Quick Start + +```typescript +import OpenAI from "openai" +import { withSupermemory } from "@supermemory/tools/openai" + +const openai = new OpenAI() + +// Wrap client with memory - memories auto-injected into system prompts +const client = withSupermemory(openai, "user-123", { + mode: "full", // "profile" | "query" | "full" + addMemory: "always", // "always" | "never" +}) + +// Use normally - memories are automatically included +const response = await client.chat.completions.create({ + model: "gpt-5", + messages: [ + { role: "system", content: "You are a helpful assistant." }, + { role: "user", content: "What's my favorite programming language?" } + ] +}) +``` + +### Configuration Options + +```typescript +const client = withSupermemory(openai, "user-123", { + // Memory search mode + mode: "full", // "profile" (user profile only), "query" (search only), "full" (both) + + // Auto-save conversations as memories + addMemory: "always", // "always" | "never" + + // Group messages into conversations + conversationId: "conv-456", + + // Enable debug logging + verbose: true, + + // Custom API endpoint + baseUrl: "https://custom.api.com" +}) +``` + +### Modes Explained + +| Mode | Description | Use Case | +|------|-------------|----------| +| `profile` | Injects user profile (static + dynamic facts) | General personalization | +| `query` | Searches memories based on user message | Question answering | +| `full` | Both profile and query-based search | Best for chatbots | + +### Works with Responses API Too + +```typescript +const client = withSupermemory(openai, "user-123", { mode: "full" }) + +// Memories injected into instructions +const response = await client.responses.create({ + model: "gpt-5", + instructions: "You are a helpful assistant.", + input: "What do you know about me?" +}) +``` + +### Environment Variables + +```bash +SUPERMEMORY_API_KEY=your_supermemory_key +OPENAI_API_KEY=your_openai_key +``` + +--- + +## Function Calling Tools + +For explicit control over memory operations, use function calling tools. The model decides when to search or add memories. + ## Installation diff --git a/apps/docs/integrations/pipecat.mdx b/apps/docs/integrations/pipecat.mdx index fbd9852c..c96f27e1 100644 --- a/apps/docs/integrations/pipecat.mdx +++ b/apps/docs/integrations/pipecat.mdx @@ -153,7 +153,7 @@ async def run_bot(websocket_client, user_id: str, session_id: str): ) stt = OpenAISTTService(api_key=os.getenv("OPENAI_API_KEY")) - llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o-mini") + llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-5-mini") tts = OpenAITTSService(api_key=os.getenv("OPENAI_API_KEY"), voice="alloy") # Supermemory memory service diff --git a/apps/docs/intro.mdx b/apps/docs/intro.mdx index e5cb52fc..ccbfe892 100644 --- a/apps/docs/intro.mdx +++ b/apps/docs/intro.mdx @@ -9,8 +9,8 @@ Supermemory is the long-term and short-term memory and context infrastructure fo With supermemory, developers can provide perfect recall about their users to build AI agents that are more intelligent, more personalized, and more consistent. Additionally, *supermemory* has all the pieces of the context stack built in: - [Agent memory](/concepts/graph-memory) - [Content extraction](/concepts/content-types) -- [Connectors and syncing](/concepts/connectors-syncing) -- Managed RAG platform +- [Connectors and syncing](/connectors/overview) +- [Managed RAG platform](/concepts/super-rag) All this, coming together, makes supermemory the best abstraction to provide to agents. @@ -41,7 +41,7 @@ We offer three ways to add context to your LLMs: ![memory graph](/images/memory-graph.png) Supermemory learns and builds the memory for the user. These are extracted facts about the user, that: -- [Evolve on top of existing context about the user](/concepts/memory-graph), **in real time** +- [Evolve on top of existing context about the user](/concepts/graph-memory), **in real time** - Handle **knowledge updates, temporal changes, forgetfulness** - Creates a **user profile** as the default context provider for the LLM. @@ -49,7 +49,7 @@ _This can then be provided to the LLM, to give more contextual, personalized res #### User profiles -Having the latest, evolving context about the user allows us to also create a [**User Profile**](/concepts/user-profile). This is a combination of static and dynamic facts about the user, that the agent should **always know** +Having the latest, evolving context about the user allows us to also create a [**User Profile**](/concepts/user-profiles). This is a combination of static and dynamic facts about the user, that the agent should **always know** Developers can configure supermemory with what static and dynamic contents are, depending on their use case. - Static: Information that the agent should **always** know. @@ -65,7 +65,7 @@ Along with the user context, developers can also choose to do a search on the ra - Works well with the memory engine - You can reference the full API reference for the Memory API in the API Reference tab. + See the full [API Reference](/api-reference) for detailed endpoint documentation. @@ -75,4 +75,11 @@ All three approaches share the **same context pool** when using the same user ID ## Next steps -Head to the [**How it works**](/concepts/how-it-works) guide to understand the underlying way of how supermemory represents and learns in data. + + + Make your first API call in minutes + + + Understand the knowledge graph architecture + + diff --git a/apps/docs/quickstart.mdx b/apps/docs/quickstart.mdx index 3887f2c8..963f1389 100644 --- a/apps/docs/quickstart.mdx +++ b/apps/docs/quickstart.mdx @@ -52,7 +52,7 @@ profile = client.profile(container_tag=USER_ID, q=conversation[-1]["content"]) static = "\n".join(profile.profile.static) dynamic = "\n".join(profile.profile.dynamic) -memories = "\n".join(r.content for r in profile.search_results.results) +memories = "\n".join(r.get("memory", "") for r in profile.search_results.results) context = f"""Static profile: {static} @@ -101,7 +101,7 @@ Dynamic profile: ${profile.profile.dynamic.join("\n")} Relevant memories: -${profile.searchResults.results.map((r) => r.content).join("\n")}`; +${profile.searchResults.results.map((r) => r.memory).join("\n")}`; // Build messages with memory-enriched context const messages = [{ role: "system", content: `User context:\n${context}` }, ...conversation]; diff --git a/apps/docs/test.py b/apps/docs/test.py index 2e270dad..85ce6f82 100644 --- a/apps/docs/test.py +++ b/apps/docs/test.py @@ -14,7 +14,7 @@ profile = client.profile(container_tag=USER_ID, q=conversation[-1]["content"]) static = "\n".join(profile.profile.static) dynamic = "\n".join(profile.profile.dynamic) -memories = "\n".join(r.content for r in profile.search_results.results) +memories = "\n".join(r.get("memory", "") for r in profile.search_results.results) context = f"""Static profile: {static} diff --git a/apps/docs/user-profiles.mdx b/apps/docs/user-profiles.mdx index a8de0874..ec9ff57d 100644 --- a/apps/docs/user-profiles.mdx +++ b/apps/docs/user-profiles.mdx @@ -173,7 +173,7 @@ Current Context: ${result.profile.dynamic.join('\n')} Relevant Memories: -${result.searchResults?.results.map(m => m.content).join('\n') || 'None'} +${result.searchResults?.results.map(m => m.memory).join('\n') || 'None'} `; } ``` diff --git a/apps/docs/vibe-coding.mdx b/apps/docs/vibe-coding.mdx index 0e1f42cd..bb5cd0e9 100644 --- a/apps/docs/vibe-coding.mdx +++ b/apps/docs/vibe-coding.mdx @@ -170,7 +170,7 @@ const { profile, searchResults } = await client.profile({ const context = ` Static facts: ${profile.static.join('\n')} Recent context: ${profile.dynamic.join('\n')} -${searchResults ? `Memories: ${searchResults.results.map(r => r.content).join('\n')}` : ''} +${searchResults ? `Memories: ${searchResults.results.map(r => r.memory).join('\n')}` : ''} ` // Send to LLM @@ -202,7 +202,7 @@ const results = await client.search({ }) // Build context -const context = results.results.map(r => r.content).join('\n') +const context = results.results.map(r => r.memory || r.chunk).join('\n') // Send to LLM with context const messages = [ diff --git a/apps/docs/voice-realtime/pipecat.mdx b/apps/docs/voice-realtime/pipecat.mdx index 6f100d65..3948a777 100644 --- a/apps/docs/voice-realtime/pipecat.mdx +++ b/apps/docs/voice-realtime/pipecat.mdx @@ -151,7 +151,7 @@ async def run_bot(websocket_client, user_id: str, session_id: str): ) stt = OpenAISTTService(api_key=os.getenv("OPENAI_API_KEY")) - llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o-mini") + llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-5-mini") tts = OpenAITTSService(api_key=os.getenv("OPENAI_API_KEY"), voice="alloy") # Supermemory memory service diff --git a/bun.lock b/bun.lock index ce1cc468..1d81ab1e 100644 --- a/bun.lock +++ b/bun.lock @@ -1,5 +1,6 @@ { "lockfileVersion": 1, + "configVersion": 0, "workspaces": { "": { "name": "supermemory", @@ -119,21 +120,6 @@ "typescript": "^5", }, }, - "apps/raycast-extension": { - "name": "supermemory", - "dependencies": { - "@raycast/api": "^1.103.3", - "@raycast/utils": "^2.2.1", - }, - "devDependencies": { - "@raycast/eslint-config": "^2.0.4", - "@types/node": "22.13.10", - "@types/react": "19.0.10", - "eslint": "^9.22.0", - "prettier": "^3.5.3", - "typescript": "^5.8.2", - }, - }, "apps/web": { "name": "@repo/web", "version": "0.1.0", @@ -257,6 +243,21 @@ "vitest": "^3.2.4", }, }, + "packages/docs-test": { + "name": "docs-test", + "version": "1.0.0", + "dependencies": { + "@ai-sdk/anthropic": "^3.0.15", + "@ai-sdk/openai": "latest", + "@anthropic-ai/sdk": "latest", + "@supermemory/tools": "workspace:*", + "ai": "latest", + "dotenv": "latest", + "openai": "latest", + "supermemory": "latest", + "zod": "latest", + }, + }, "packages/hooks": { "name": "@repo/hooks", "version": "0.0.0", @@ -768,24 +769,6 @@ "@esbuild/win32-x64": ["@esbuild/win32-x64@0.25.4", "", { "os": "win32", "cpu": "x64" }, "sha512-nOT2vZNw6hJ+z43oP1SPea/G/6AbN6X+bGNhNuq8NtRHy4wsMhw765IKLNmnjek7GvjWBYQ8Q5VBoYTFg9y1UQ=="], - 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"ts" : "py"}`), + type: t.type, + }) + } + + return tests +} + +async function runTest(test: TestFile): Promise { + return new Promise((resolve) => { + console.log(`\n${"=".repeat(60)}`) + console.log(`Running: ${test.name}`) + console.log("=".repeat(60)) + + const cmd = test.type === "ts" ? "bun" : path.join(import.meta.dir, ".venv", "bin", "python3") + const proc = spawn(cmd, [test.path], { + stdio: "inherit", + env: { ...process.env }, + }) + + proc.on("close", (code) => { + resolve(code === 0) + }) + }) +} + +async function main() { + console.log("Supermemory Docs Test Runner") + console.log("============================\n") + + let tests = getTests() + + // Filter tests if specified + if (filter) { + tests = tests.filter((t) => t.name.includes(filter) || t.type === filter.replace(".", "")) + } + + if (tests.length === 0) { + console.log("No tests matched the filter:", filter) + console.log("\nAvailable tests:") + getTests().forEach((t) => console.log(` - ${t.name} (${t.type})`)) + process.exit(1) + } + + console.log(`Running ${tests.length} test(s)...\n`) + + const results: { test: string; passed: boolean }[] = [] + + for (const test of tests) { + const passed = await runTest(test) + results.push({ test: test.name, passed }) + } + + // Summary + console.log(`\n${"=".repeat(60)}`) + console.log("SUMMARY") + console.log("=".repeat(60)) + + const passed = results.filter((r) => r.passed).length + const failed = results.filter((r) => !r.passed).length + + for (const r of results) { + console.log(`${r.passed ? "✅" : "❌"} ${r.test}`) + } + + console.log(`\nTotal: ${passed} passed, ${failed} failed`) + + if (failed > 0) { + process.exit(1) + } +} + +main().catch(console.error) diff --git a/packages/docs-test/tests/integrations/ai-sdk.ts b/packages/docs-test/tests/integrations/ai-sdk.ts new file mode 100644 index 00000000..7caba72f --- /dev/null +++ b/packages/docs-test/tests/integrations/ai-sdk.ts @@ -0,0 +1,100 @@ +import "dotenv/config" +import { openai } from "@ai-sdk/openai" +import { createAnthropic } from "@ai-sdk/anthropic" +import { + withSupermemory, + supermemoryTools, + searchMemoriesTool, + addMemoryTool, + type MemoryPromptData, +} from "@supermemory/tools/ai-sdk" + +async function testMiddleware() { + console.log("=== Middleware ===") + + // Basic wrapper + const model = withSupermemory(openai("gpt-4"), "user-123") + console.log("✓ withSupermemory basic") + + // With addMemory option + const modelWithAdd = withSupermemory(openai("gpt-4"), "user-123", { + addMemory: "always", + }) + console.log("✓ withSupermemory with addMemory") + + // With verbose logging + const modelVerbose = withSupermemory(openai("gpt-4"), "user-123", { + verbose: true, + }) + console.log("✓ withSupermemory with verbose") +} + +async function testSearchModes() { + console.log("\n=== Search Modes ===") + + const profileModel = withSupermemory(openai("gpt-4"), "user-123", { mode: "profile" }) + console.log("✓ mode: profile") + + const queryModel = withSupermemory(openai("gpt-4"), "user-123", { mode: "query" }) + console.log("✓ mode: query") + + const fullModel = withSupermemory(openai("gpt-4"), "user-123", { mode: "full" }) + console.log("✓ mode: full") +} + +async function testCustomPrompt() { + console.log("\n=== Custom Prompt Template ===") + + const anthropic = createAnthropic({ apiKey: "test-key" }) + + const claudePrompt = (data: MemoryPromptData) => + ` + + ${data.userMemories} + ${data.generalSearchMemories} + +`.trim() + + const model = withSupermemory(anthropic("claude-3-sonnet-20240229"), "user-123", { + mode: "full", + promptTemplate: claudePrompt, + }) + console.log("✓ Custom prompt template") +} + +async function testTools() { + console.log("\n=== Memory Tools ===") + + // All tools + const tools = supermemoryTools("YOUR_API_KEY") + console.log("✓ supermemoryTools") + + // Individual tools + const searchTool = searchMemoriesTool("API_KEY", { projectId: "personal" }) + console.log("✓ searchMemoriesTool") + + const addTool = addMemoryTool("API_KEY") + console.log("✓ addMemoryTool") + + // Combined + const toolsObj = { + searchMemories: searchTool, + addMemory: addTool, + } + console.log("✓ Combined tools object") +} + +async function main() { + console.log("AI SDK Integration Tests") + console.log("========================\n") + + await testMiddleware() + await testSearchModes() + await testCustomPrompt() + await testTools() + + console.log("\n========================") + console.log("✅ All AI SDK tests passed!") +} + +main().catch(console.error) diff --git a/packages/docs-test/tests/integrations/claude-memory.ts b/packages/docs-test/tests/integrations/claude-memory.ts new file mode 100644 index 00000000..c4078789 --- /dev/null +++ b/packages/docs-test/tests/integrations/claude-memory.ts @@ -0,0 +1,101 @@ +import "dotenv/config" +import { createClaudeMemoryTool } from "@supermemory/tools/claude-memory" + +async function testConfiguration() { + console.log("=== Configuration ===") + + // Basic + const tool = createClaudeMemoryTool(process.env.SUPERMEMORY_API_KEY!, { + projectId: "my-app", + }) + console.log("✓ Basic config") + + // Full options + const toolFull = createClaudeMemoryTool(process.env.SUPERMEMORY_API_KEY!, { + projectId: "my-app", + containerTags: ["user-123", "project-alpha"], + memoryContainerTag: "my_memory_prefix", + }) + console.log("✓ Full config") + + return tool +} + +async function testMethods(tool: ReturnType) { + console.log("\n=== Methods ===") + + console.log(`✓ handleCommand exists: ${typeof tool.handleCommand === "function"}`) + console.log( + `✓ handleCommandForToolResult exists: ${typeof tool.handleCommandForToolResult === "function"}` + ) +} + +async function testCommands(tool: ReturnType) { + console.log("\n=== Commands ===") + + // View (list) + const listResult = await tool.handleCommand({ + command: "view", + path: "/memories/", + }) + console.log(`✓ view (list): ${listResult.success}`) + + // Create + const createResult = await tool.handleCommand({ + command: "create", + path: "/memories/test-file.txt", + file_text: "User prefers dark mode\nFavorite language: TypeScript", + }) + console.log(`✓ create: ${createResult.success}`) + + // Wait for indexing + await new Promise((r) => setTimeout(r, 3000)) + + // str_replace + const replaceResult = await tool.handleCommand({ + command: "str_replace", + path: "/memories/test-file.txt", + old_str: "dark mode", + new_str: "light mode", + }) + console.log(`✓ str_replace: ${replaceResult.success}`) + + // Delete + const deleteResult = await tool.handleCommand({ + command: "delete", + path: "/memories/test-file.txt", + }) + console.log(`✓ delete: ${deleteResult.success}`) +} + +async function testToolResultFormat(tool: ReturnType) { + console.log("\n=== Tool Result Format ===") + + const toolResult = await tool.handleCommandForToolResult( + { command: "view", path: "/memories/" }, + "test-tool-id-123" + ) + + const hasCorrectStructure = + toolResult.type === "tool_result" && + toolResult.tool_use_id === "test-tool-id-123" && + typeof toolResult.content === "string" && + typeof toolResult.is_error === "boolean" + + console.log(`✓ Tool result structure: ${hasCorrectStructure}`) +} + +async function main() { + console.log("Claude Memory Tool Tests") + console.log("========================\n") + + const tool = await testConfiguration() + await testMethods(tool) + await testCommands(tool) + await testToolResultFormat(tool) + + console.log("\n========================") + console.log("✅ All Claude Memory tests passed!") +} + +main().catch(console.error) diff --git a/packages/docs-test/tests/integrations/openai-sdk.py b/packages/docs-test/tests/integrations/openai-sdk.py new file mode 100644 index 00000000..8f8c2d40 --- /dev/null +++ b/packages/docs-test/tests/integrations/openai-sdk.py @@ -0,0 +1,90 @@ +import os +from dotenv import load_dotenv +from openai import OpenAI + +load_dotenv() + + +def test_openai_with_supermemory(): + """Test OpenAI SDK with Supermemory context""" + print("=== OpenAI SDK with Supermemory ===") + + if not os.getenv("OPENAI_API_KEY"): + print("⚠ OPENAI_API_KEY not set, skipping live tests") + return + + # This demonstrates manual integration pattern for Python + # since @supermemory/tools is TypeScript-only + + from supermemory import Supermemory + + memory_client = Supermemory() + openai_client = OpenAI() + + USER_ID = "docs-test-openai-py" + + # Get memory context + profile = memory_client.profile( + container_tag=USER_ID, + q="What are my preferences?", + ) + + context = f"""User Profile: +{chr(10).join(profile.profile.static)} + +Relevant Memories: +{chr(10).join(r.content for r in profile.search_results.results)}""" + + print("✓ Got memory context") + + # Use with OpenAI + response = openai_client.chat.completions.create( + model="gpt-4o-mini", + messages=[ + {"role": "system", "content": f"Use this context:\n{context}"}, + {"role": "user", "content": "What do you know about me?"}, + ], + max_tokens=100, + ) + print(f"✓ OpenAI response: {response.choices[0].message.content[:50]}...") + + +def test_save_conversation(): + """Test saving conversation to Supermemory""" + print("\n=== Save Conversation ===") + + if not os.getenv("OPENAI_API_KEY"): + print("⚠ Skipped (no OPENAI_API_KEY)") + return + + from supermemory import Supermemory + + memory_client = Supermemory() + USER_ID = "docs-test-openai-py" + + conversation = [ + {"role": "user", "content": "My favorite programming language is Python"}, + {"role": "assistant", "content": "That's great! Python is very versatile."}, + ] + + # Save conversation + memory_client.add( + content="\n".join(f"{m['role']}: {m['content']}" for m in conversation), + container_tag=USER_ID, + ) + print("✓ Saved conversation to memory") + + +def main(): + print("OpenAI SDK Integration Tests (Python)") + print("=====================================\n") + + test_openai_with_supermemory() + test_save_conversation() + + print("\n=====================================") + print("✅ All OpenAI SDK tests passed!") + + +if __name__ == "__main__": + main() diff --git a/packages/docs-test/tests/integrations/openai-sdk.ts b/packages/docs-test/tests/integrations/openai-sdk.ts new file mode 100644 index 00000000..c651e7dc --- /dev/null +++ b/packages/docs-test/tests/integrations/openai-sdk.ts @@ -0,0 +1,80 @@ +import "dotenv/config" +import OpenAI from "openai" +import { withSupermemory } from "@supermemory/tools/openai" + +const OPENAI_API_KEY = process.env.OPENAI_API_KEY + +async function testOpenAIWrapper() { + console.log("=== OpenAI SDK Wrapper ===") + + if (!OPENAI_API_KEY) { + console.log("⚠ OPENAI_API_KEY not set, skipping live tests") + return false + } + + const openai = new OpenAI() + + // Basic wrapper + const client = withSupermemory(openai, "docs-test-openai") + console.log("✓ withSupermemory basic") + + // With options + const clientWithOptions = withSupermemory(openai, "docs-test-openai", { + mode: "full", + addMemory: "always", + verbose: true, + }) + console.log("✓ withSupermemory with options") +} + +async function testChatCompletion() { + console.log("\n=== Chat Completion with Memory ===") + + if (!OPENAI_API_KEY) { + console.log("⚠ OPENAI_API_KEY not set, skipping") + return + } + + const openai = new OpenAI() + const client = withSupermemory(openai, "docs-test-openai", { + mode: "full", + addMemory: "always", + }) + + // Add context + const addResponse = await client.chat.completions.create({ + model: "gpt-4o-mini", + messages: [ + { role: "system", content: "You are a helpful assistant." }, + { role: "user", content: "Remember that my favorite color is blue." }, + ], + max_tokens: 100, + }) + console.log("✓ Add context:", addResponse.choices[0]?.message.content?.substring(0, 50)) + + // Retrieve context + const retrieveResponse = await client.chat.completions.create({ + model: "gpt-4o-mini", + messages: [ + { role: "system", content: "You are a helpful assistant." }, + { role: "user", content: "What do you know about my preferences?" }, + ], + max_tokens: 100, + }) + console.log("✓ Retrieve context:", retrieveResponse.choices[0]?.message.content?.substring(0, 50)) +} + +async function main() { + console.log("OpenAI SDK Integration Tests") + console.log("============================\n") + + const hasKey = await testOpenAIWrapper() + if (hasKey !== false) { + await testChatCompletion() + } + + console.log("\n============================") + console.log("✅ All OpenAI SDK tests passed!") +} + +main().catch(console.error) diff --git a/packages/docs-test/tests/python/quickstart.py b/packages/docs-test/tests/python/quickstart.py new file mode 100644 index 00000000..e0689900 --- /dev/null +++ b/packages/docs-test/tests/python/quickstart.py @@ -0,0 +1,53 @@ +import os +from dotenv import load_dotenv + +load_dotenv() + +from supermemory import Supermemory + +client = Supermemory() +USER_ID = "docs-test-user-py" + +conversation = [ + {"role": "assistant", "content": "Hello, how are you doing?"}, + {"role": "user", "content": "Hello! I am Dhravya. I am 20 years old. I love to code!"}, + {"role": "user", "content": "Can I go to the club?"}, +] + +print("Testing quickstart Python code...\n") + +# Get user profile + relevant memories for context +print("1. Getting user profile...") +profile = client.profile(container_tag=USER_ID, q=conversation[-1]["content"]) + +print(f"Profile response: {profile}") + +def get_memory(r): + if hasattr(r, 'memory'): + return r.memory + return r.get('memory', '') if isinstance(r, dict) else str(r) + +context = f"""Static profile: +{chr(10).join(profile.profile.static)} + +Dynamic profile: +{chr(10).join(profile.profile.dynamic)} + +Relevant memories: +{chr(10).join(get_memory(r) for r in profile.search_results.results)}""" + +print(f"\n2. Built context: {context}") + +# Build messages with memory-enriched context +messages = [{"role": "system", "content": f"User context:\n{context}"}, *conversation] +print("\n3. Messages built successfully") + +# Store conversation for future context +print("\n4. Adding memory...") +add_result = client.add( + content="\n".join(f"{m['role']}: {m['content']}" for m in conversation), + container_tag=USER_ID, +) + +print(f"Add result: {add_result}") +print("\n✅ Quickstart Python test passed!") diff --git a/packages/docs-test/tests/python/sdk.py b/packages/docs-test/tests/python/sdk.py new file mode 100644 index 00000000..a083ede2 --- /dev/null +++ b/packages/docs-test/tests/python/sdk.py @@ -0,0 +1,152 @@ +import os +import time +from pathlib import Path +from dotenv import load_dotenv +import httpx +import supermemory +from supermemory import Supermemory + +load_dotenv() + +client = Supermemory() + + +def test_documents_crud(): + """Test document CRUD operations""" + print("\n=== Document CRUD Operations ===") + + # Create + doc = client.documents.add(content=f"Test content - {time.time()}") + print(f"✓ documents.add: {doc.id}") + + # Read + fetched = client.documents.get(doc.id) + print(f"✓ documents.get: {fetched.id}") + + # Update + updated = client.documents.update(doc.id, content=f"Updated - {time.time()}") + print(f"✓ documents.update: {updated.id}") + + # Wait for processing + time.sleep(10) + + # Delete + client.documents.delete(doc.id) + print("✓ documents.delete") + + +def test_batch_operations(): + """Test batch operations""" + print("\n=== Batch Operations ===") + + batch = client.documents.batch_add( + documents=[ + {"content": f"Batch 1 - {time.time()}"}, + {"content": f"Batch 2 - {time.time()}"}, + ] + ) + print(f"✓ documents.batch_add: {batch}") + + +def test_search(): + """Test search""" + print("\n=== Search ===") + + results = client.search.execute(q="test content") + print(f"✓ search.execute: {len(results.results) if results.results else 0} results") + + +def test_file_uploads(): + """Test file uploads""" + print("\n=== File Uploads ===") + + test_path = Path("/tmp/test-py-upload.txt") + test_path.write_text(f"Test content {time.time()}") + client.documents.upload_file(file=test_path) + print("✓ documents.upload_file with Path") + test_path.unlink() + + +def test_error_handling(): + """Test error handling patterns""" + print("\n=== Error Handling ===") + + try: + client.documents.add(content="Test content") + print("✓ Error handling pattern works") + except supermemory.APIConnectionError: + print("APIConnectionError handled") + except supermemory.RateLimitError: + print("RateLimitError handled") + except supermemory.APIStatusError: + print("APIStatusError handled") + + +def test_client_config(): + """Test client configuration""" + print("\n=== Client Configuration ===") + + # Retries + client2 = Supermemory(max_retries=0) + print("✓ max_retries config") + + # Timeout + client3 = Supermemory(timeout=20.0) + print("✓ timeout config") + + # Granular timeout + client4 = Supermemory(timeout=httpx.Timeout(60.0, read=5.0, write=10.0, connect=2.0)) + print("✓ granular timeout config") + + # Per-request options + client.with_options(max_retries=5).documents.add(content="Test content") + print("✓ per-request options") + + +def test_raw_response(): + """Test raw response access""" + print("\n=== Raw Response ===") + + response = client.documents.with_raw_response.add(content="Test content") + print(f"✓ with_raw_response: has headers={hasattr(response, 'headers')}") + + memory = response.parse() + print(f"✓ parse(): {memory.id}") + + +def test_streaming_response(): + """Test streaming response""" + print("\n=== Streaming Response ===") + + with client.documents.with_streaming_response.add(content="Test content") as response: + print(f"✓ with_streaming_response: has headers={hasattr(response, 'headers')}") + + +def test_context_manager(): + """Test context manager""" + print("\n=== Context Manager ===") + + with Supermemory() as temp_client: + print("✓ Context manager works") + + +def main(): + print("Python SDK Tests") + print("================") + + test_documents_crud() + test_batch_operations() + test_search() + test_file_uploads() + test_error_handling() + test_client_config() + test_raw_response() + test_streaming_response() + test_context_manager() + + print("\n================") + print("✅ All Python SDK tests passed!") + + +if __name__ == "__main__": + main() diff --git a/packages/docs-test/tests/python/search.py b/packages/docs-test/tests/python/search.py new file mode 100644 index 00000000..820629eb --- /dev/null +++ b/packages/docs-test/tests/python/search.py @@ -0,0 +1,113 @@ +import os +from dotenv import load_dotenv +from supermemory import Supermemory + +load_dotenv() + +client = Supermemory() + + +def test_search_modes(): + """Test different search modes""" + print("=== Search Modes ===") + + # Hybrid search + hybrid = client.search.memories( + q="quarterly goals", + container_tag="user_123", + search_mode="hybrid", + ) + print(f"✓ hybrid search: {len(hybrid.results)} results") + + # Memories only + memories = client.search.memories( + q="user preferences", + container_tag="user_123", + search_mode="memories", + ) + print(f"✓ memories search: {len(memories.results)} results") + + +def test_filtering(): + """Test search filtering""" + print("\n=== Filtering ===") + + # Basic containerTag filter + results = client.search.memories( + q="project updates", + container_tag="user_123", + search_mode="hybrid", + ) + print(f"✓ containerTag filter: {len(results.results)} results") + + # Metadata filtering + filtered = client.search.memories( + q="meeting notes", + container_tag="user_123", + filters={ + "AND": [ + {"key": "type", "value": "meeting"}, + {"key": "year", "value": "2024"}, + ] + }, + ) + print(f"✓ metadata filter: {len(filtered.results)} results") + + +def test_reranking(): + """Test reranking""" + print("\n=== Reranking ===") + + results = client.search.memories( + q="complex technical question", + container_tag="user_123", + rerank=True, + ) + print(f"✓ reranking: {len(results.results)} results") + + +def test_threshold(): + """Test similarity threshold""" + print("\n=== Threshold ===") + + broad = client.search.memories(q="test query", threshold=0.3) + print(f"✓ broad threshold (0.3): {len(broad.results)} results") + + precise = client.search.memories(q="test query", threshold=0.8) + print(f"✓ precise threshold (0.8): {len(precise.results)} results") + + +def test_chatbot_context(): + """Test chatbot context pattern""" + print("\n=== Chatbot Context Pattern ===") + + def get_context(user_id: str, message: str) -> str: + results = client.search.memories( + q=message, + container_tag=user_id, + search_mode="hybrid", + threshold=0.6, + limit=5, + ) + return "\n\n".join(r.memory or r.chunk or "" for r in results.results) + + context = get_context("user_123", "What are the project updates?") + print(f"✓ chatbot context: {len(context)} chars") + + +def main(): + print("Search Tests") + print("============\n") + + test_search_modes() + test_filtering() + test_reranking() + test_threshold() + test_chatbot_context() + + print("\n============") + print("✅ All search tests passed!") + + +if __name__ == "__main__": + main() diff --git a/packages/docs-test/tests/python/user_profiles.py b/packages/docs-test/tests/python/user_profiles.py new file mode 100644 index 00000000..f34c1499 --- /dev/null +++ b/packages/docs-test/tests/python/user_profiles.py @@ -0,0 +1,102 @@ +import os +import time +from dotenv import load_dotenv +from supermemory import Supermemory + +load_dotenv() + +client = Supermemory() +USER_ID = "docs-test-profiles-py" + + +def test_basic_profile(): + """Test basic profile retrieval""" + print("=== Basic Profile ===") + + profile = client.profile( + container_tag=USER_ID, + q="What are my preferences?", + ) + + print(f"✓ Static profile: {len(profile.profile.static)} items") + print(f"✓ Dynamic profile: {len(profile.profile.dynamic)} items") + print(f"✓ Search results: {len(profile.search_results.results)} items") + + +def test_profile_with_memories(): + """Test profile with memory context""" + print("\n=== Profile with Memory Context ===") + + # Add some memories + client.add( + content="User prefers dark mode for all applications", + container_tag=USER_ID, + ) + client.add( + content="User is learning TypeScript and Rust", + container_tag=USER_ID, + ) + + # Wait for indexing + time.sleep(2) + + # Get profile with search + profile = client.profile( + container_tag=USER_ID, + q="What programming languages does the user know?", + ) + + print("✓ Profile retrieved with memories") + print(f" Static: {profile.profile.static[:2]}") + print(f" Dynamic: {profile.profile.dynamic[:2]}") + + +def get_memory(r): + if hasattr(r, 'memory'): + return r.memory + return r.get('memory', '') if isinstance(r, dict) else str(r) + + +def test_building_context(): + """Test building LLM context""" + print("\n=== Building LLM Context ===") + + conversation = [{"role": "user", "content": "What theme should I use for my IDE?"}] + + profile = client.profile( + container_tag=USER_ID, + q=conversation[-1]["content"], + ) + + context = f"""User Profile: +{chr(10).join(profile.profile.static)} + +Recent Context: +{chr(10).join(profile.profile.dynamic)} + +Relevant Memories: +{chr(10).join(get_memory(r) for r in profile.search_results.results)}""" + + print(f"✓ Built context: {len(context)} chars") + + messages = [ + {"role": "system", "content": f"Use this context about the user:\n{context}"}, + *conversation, + ] + print(f"✓ Messages ready for LLM: {len(messages)} messages") + + +def main(): + print("User Profiles Tests") + print("===================\n") + + test_basic_profile() + test_profile_with_memories() + test_building_context() + + print("\n===================") + print("✅ All user profile tests passed!") + + +if __name__ == "__main__": + main() diff --git a/packages/docs-test/tests/typescript/quickstart.ts b/packages/docs-test/tests/typescript/quickstart.ts new file mode 100644 index 00000000..12da131b --- /dev/null +++ b/packages/docs-test/tests/typescript/quickstart.ts @@ -0,0 +1,57 @@ +import "dotenv/config" +import Supermemory from "supermemory" + +const client = new Supermemory() +const USER_ID = "docs-test-user" + +const conversation = [ + { role: "assistant", content: "Hello, how are you doing?" }, + { + role: "user", + content: "Hello! I am Dhravya. I am 20 years old. I love to code!", + }, + { role: "user", content: "Can I go to the club?" }, +] + +async function main() { + console.log("Testing quickstart TypeScript code...\n") + + // Get user profile + relevant memories for context + console.log("1. Getting user profile...") + const profile = await client.profile({ + containerTag: USER_ID, + q: conversation.at(-1)!.content, + }) + + console.log("Profile response:", JSON.stringify(profile, null, 2)) + + const context = `Static profile: +${profile.profile.static.join("\n")} + +Dynamic profile: +${profile.profile.dynamic.join("\n")} + +Relevant memories: +${profile.searchResults?.results.map((r) => r.content).join("\n")}` + + console.log("\n2. Built context:", context) + + // Build messages with memory-enriched context + const messages = [ + { role: "system", content: `User context:\n${context}` }, + ...conversation, + ] + console.log("\n3. Messages built successfully") + + // Store conversation for future context + console.log("\n4. Adding memory...") + const addResult = await client.add({ + content: conversation.map((m) => `${m.role}: ${m.content}`).join("\n"), + containerTag: USER_ID, + }) + + console.log("Add result:", JSON.stringify(addResult, null, 2)) + console.log("\n✅ Quickstart TypeScript test passed!") +} + +main().catch(console.error) diff --git a/packages/docs-test/tests/typescript/sdk.ts b/packages/docs-test/tests/typescript/sdk.ts new file mode 100644 index 00000000..7dc477e0 --- /dev/null +++ b/packages/docs-test/tests/typescript/sdk.ts @@ -0,0 +1,146 @@ +import "dotenv/config" +import fs from "fs" +import Supermemory, { toFile } from "supermemory" + +const client = new Supermemory() + +async function testDocumentsCRUD() { + console.log("\n=== Document CRUD Operations ===") + + // Create + const doc = await client.documents.add({ + content: "Test content for TypeScript SDK - " + Date.now(), + }) + console.log("✓ documents.add:", doc.id) + + // Read + const fetched = await client.documents.get(doc.id) + console.log("✓ documents.get:", fetched.id) + + // Update + const updated = await client.documents.update(doc.id, { + content: "Updated content - " + Date.now(), + }) + console.log("✓ documents.update:", updated.id) + + // Wait for processing before delete + await new Promise((r) => setTimeout(r, 10000)) + + // Delete + await client.documents.delete(doc.id) + console.log("✓ documents.delete") +} + +async function testBatchOperations() { + console.log("\n=== Batch Operations ===") + + const batch = await client.documents.batchAdd({ + documents: [ + { content: "Batch doc 1 - " + Date.now() }, + { content: "Batch doc 2 - " + Date.now() }, + ], + }) + console.log("✓ documents.batchAdd:", batch) +} + +async function testSearch() { + console.log("\n=== Search ===") + + const results = await client.search.execute({ q: "test content" }) + console.log("✓ search.execute:", results.results?.length ?? 0, "results") +} + +async function testFileUploads() { + console.log("\n=== File Uploads ===") + + // Using fs.createReadStream + const testFile = "/tmp/test-doc-upload.txt" + fs.writeFileSync(testFile, "Test file content") + await client.documents.uploadFile({ file: fs.createReadStream(testFile) }) + console.log("✓ uploadFile with fs.createReadStream") + + // Using File API + await client.documents.uploadFile({ file: new File(["my bytes"], "file") }) + console.log("✓ uploadFile with File API") + + // Using toFile + await client.documents.uploadFile({ file: await toFile(Buffer.from("my bytes"), "file") }) + console.log("✓ uploadFile with toFile") + + fs.unlinkSync(testFile) +} + +async function testClientConfig() { + console.log("\n=== Client Configuration ===") + + // Retries + const clientWithRetries = new Supermemory({ maxRetries: 0 }) + console.log("✓ maxRetries config") + + // Timeout + const clientWithTimeout = new Supermemory({ timeout: 20 * 1000 }) + console.log("✓ timeout config") + + // Per-request options + await client.add({ content: "Test - " + Date.now() }, { maxRetries: 5, timeout: 5000 }) + console.log("✓ per-request options") +} + +async function testRawResponse() { + console.log("\n=== Raw Response ===") + + const response = await client.documents + .add({ content: "Test - " + Date.now() }) + .asResponse() + console.log("✓ .asResponse() status:", response.status) + + const { data, response: raw } = await client.documents + .add({ content: "Test - " + Date.now() }) + .withResponse() + console.log("✓ .withResponse() data:", data.id, "status:", raw.status) +} + +async function testTypes() { + console.log("\n=== Types ===") + + const params: Supermemory.AddParams = { + content: "Typed content", + } + const response: Supermemory.AddResponse = await client.add(params) + console.log("✓ TypeScript types work:", response.id) +} + +async function testErrorHandling() { + console.log("\n=== Error Handling ===") + + const response = await client.documents + .add({ content: "Test - " + Date.now() }) + .catch(async (err) => { + if (err instanceof Supermemory.APIError) { + console.log("Caught APIError:", err.status, err.name) + } else { + throw err + } + return null + }) + console.log("✓ Error handling pattern works:", response?.id) +} + +async function main() { + console.log("TypeScript SDK Tests") + console.log("====================") + + await testDocumentsCRUD() + await testBatchOperations() + await testSearch() + await testFileUploads() + await testClientConfig() + await testRawResponse() + await testTypes() + await testErrorHandling() + + console.log("\n====================") + console.log("✅ All TypeScript SDK tests passed!") +} + +main().catch(console.error) diff --git a/packages/docs-test/tests/typescript/search.ts b/packages/docs-test/tests/typescript/search.ts new file mode 100644 index 00000000..45f903eb --- /dev/null +++ b/packages/docs-test/tests/typescript/search.ts @@ -0,0 +1,110 @@ +import "dotenv/config" +import Supermemory from "supermemory" + +const client = new Supermemory() + +async function testSearchModes() { + console.log("=== Search Modes ===") + + // Hybrid: memories + document chunks (recommended) + const hybridResults = await client.search.memories({ + q: "quarterly goals", + containerTag: "user_123", + searchMode: "hybrid", + }) + console.log("✓ hybrid search:", hybridResults.results.length, "results") + + // Memories only + const memoriesResults = await client.search.memories({ + q: "user preferences", + containerTag: "user_123", + searchMode: "memories", + }) + console.log("✓ memories search:", memoriesResults.results.length, "results") +} + +async function testFiltering() { + console.log("\n=== Filtering ===") + + // Basic containerTag filter + const results = await client.search.memories({ + q: "project updates", + containerTag: "user_123", + searchMode: "hybrid", + }) + console.log("✓ containerTag filter:", results.results.length, "results") + + // Metadata-based filtering + const filteredResults = await client.search.memories({ + q: "meeting notes", + containerTag: "user_123", + filters: { + AND: [ + { key: "type", value: "meeting" }, + { key: "year", value: "2024" }, + ], + }, + }) + console.log("✓ metadata filter:", filteredResults.results.length, "results") +} + +async function testReranking() { + console.log("\n=== Reranking ===") + + const results = await client.search.memories({ + q: "complex technical question", + containerTag: "user_123", + rerank: true, + }) + console.log("✓ reranking:", results.results.length, "results") +} + +async function testThreshold() { + console.log("\n=== Threshold ===") + + const broadResults = await client.search.memories({ + q: "test query", + threshold: 0.3, + }) + console.log("✓ broad threshold (0.3):", broadResults.results.length, "results") + + const preciseResults = await client.search.memories({ + q: "test query", + threshold: 0.8, + }) + console.log("✓ precise threshold (0.8):", preciseResults.results.length, "results") +} + +async function testChatbotContext() { + console.log("\n=== Chatbot Context Pattern ===") + + async function getContext(userId: string, message: string) { + const results = await client.search.memories({ + q: message, + containerTag: userId, + searchMode: "hybrid", + threshold: 0.6, + limit: 5, + }) + return results.results.map((r) => r.memory || r.chunk).join("\n\n") + } + + const context = await getContext("user_123", "What are the project updates?") + console.log("✓ chatbot context:", context.length, "chars") +} + +async function main() { + console.log("Search Tests") + console.log("============\n") + + await testSearchModes() + await testFiltering() + await testReranking() + await testThreshold() + await testChatbotContext() + + console.log("\n============") + console.log("✅ All search tests passed!") +} + +main().catch(console.error) diff --git a/packages/docs-test/tests/typescript/user-profiles.ts b/packages/docs-test/tests/typescript/user-profiles.ts new file mode 100644 index 00000000..4643af4f --- /dev/null +++ b/packages/docs-test/tests/typescript/user-profiles.ts @@ -0,0 +1,89 @@ +import "dotenv/config" +import Supermemory from "supermemory" + +const client = new Supermemory() +const USER_ID = "docs-test-profiles" + +async function testBasicProfile() { + console.log("=== Basic Profile ===") + + const profile = await client.profile({ + containerTag: USER_ID, + q: "What are my preferences?", + }) + + console.log("✓ Static profile:", profile.profile.static.length, "items") + console.log("✓ Dynamic profile:", profile.profile.dynamic.length, "items") + console.log("✓ Search results:", profile.searchResults.results.length, "items") +} + +async function testProfileWithMemories() { + console.log("\n=== Profile with Memory Context ===") + + // First add some memories + await client.add({ + content: "User prefers dark mode for all applications", + containerTag: USER_ID, + }) + await client.add({ + content: "User is learning TypeScript and Rust", + containerTag: USER_ID, + }) + + // Wait a bit for indexing + await new Promise((r) => setTimeout(r, 2000)) + + // Now get profile with search + const profile = await client.profile({ + containerTag: USER_ID, + q: "What programming languages does the user know?", + }) + + console.log("✓ Profile retrieved with memories") + console.log(" Static:", profile.profile.static.slice(0, 2)) + console.log(" Dynamic:", profile.profile.dynamic.slice(0, 2)) +} + +async function testBuildingContext() { + console.log("\n=== Building LLM Context ===") + + const conversation = [ + { role: "user", content: "What theme should I use for my IDE?" }, + ] + + const profile = await client.profile({ + containerTag: USER_ID, + q: conversation.at(-1)!.content, + }) + + const context = `User Profile: +${profile.profile.static.join("\n")} + +Recent Context: +${profile.profile.dynamic.join("\n")} + +Relevant Memories: +${profile.searchResults.results.map((r) => r.content).join("\n")}` + + console.log("✓ Built context:", context.length, "chars") + + const messages = [ + { role: "system", content: `Use this context about the user:\n${context}` }, + ...conversation, + ] + console.log("✓ Messages ready for LLM:", messages.length, "messages") +} + +async function main() { + console.log("User Profiles Tests") + console.log("===================\n") + + await testBasicProfile() + await testProfileWithMemories() + await testBuildingContext() + + console.log("\n===================") + console.log("✅ All user profile tests passed!") +} + +main().catch(console.error) diff --git a/packages/tools/src/claude-memory.ts b/packages/tools/src/claude-memory.ts index 0a755913..2ef45f21 100644 --- a/packages/tools/src/claude-memory.ts +++ b/packages/tools/src/claude-memory.ts @@ -47,17 +47,23 @@ export class ClaudeMemoryTool { private memoryContainerPrefix: string /** - * Normalize file path to be used as customId (replace / with --) + * Normalize file path to be used as customId + * Converts /memories/file.txt -> memories_file_txt */ private normalizePathToCustomId(path: string): string { - return path.replace(/\//g, "--") + return path + .replace(/^\//, "") // Remove leading slash + .replace(/\//g, "_") // Replace / with _ + .replace(/\./g, "_") // Replace . with _ } /** - * Convert customId back to file path (replace -- with /) + * Convert customId back to file path + * Note: This is lossy since we can't distinguish _ from . or / + * We rely on metadata.file_path for accurate path reconstruction */ private customIdToPath(customId: string): string { - return customId.replace(/--/g, "/") + return "/" + customId.replace(/_/g, "/") } constructor(apiKey: string, config?: ClaudeMemoryConfig) {