diff --git a/.github/workflows/ci-python.yml b/.github/workflows/ci-python.yml index 0743bd25..e2942b80 100644 --- a/.github/workflows/ci-python.yml +++ b/.github/workflows/ci-python.yml @@ -7,6 +7,7 @@ on: - "packages/cartesia-sdk-python/**" - "packages/openai-sdk-python/**" - "packages/pipecat-sdk-python/**" + - "packages/livekit-sdk-python/**" - ".github/workflows/ci-python.yml" permissions: @@ -255,3 +256,60 @@ jobs: assert 'site-packages' in Path(supermemory_pipecat.__file__).parts; result = pytest.main(['-W', 'ignore::pytest.PytestAssertRewriteWarning', 'tests']); raise SystemExit(result)" + + livekit-sdk-python: + name: livekit-sdk-python (${{ matrix.dependency-lane }}, Python ${{ matrix.python-version }}) + runs-on: ubuntu-latest + timeout-minutes: 15 + strategy: + fail-fast: false + matrix: + include: + - python-version: "3.10" + dependency-lane: minimum-dependencies + supermemory-version: "3.50.0" + livekit-agents-version: "1.3.6" + - python-version: "3.12" + dependency-lane: current-dependencies + supermemory-version: "3.59.0" + livekit-agents-version: "1.8.3" + defaults: + run: + working-directory: packages/livekit-sdk-python + steps: + - name: Checkout code + uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1 + with: + persist-credentials: false + + - name: Setup Python + uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0 + with: + python-version: ${{ matrix.python-version }} + cache: pip + cache-dependency-path: packages/livekit-sdk-python/pyproject.toml + + - name: Install build and test tools + run: python -m pip install build pytest + + - name: Build wheel + run: python -m build --wheel --outdir "$RUNNER_TEMP/wheels" + + - name: Install wheel and tested runtime dependencies + run: >- + python -m pip install "$RUNNER_TEMP"/wheels/*.whl + "supermemory==${{ matrix.supermemory-version }}" + "livekit-agents==${{ matrix.livekit-agents-version }}" + + - name: Check dependency compatibility + run: python -m pip check + + - name: Verify real LiveKit integration and run tests + run: >- + python -c "from importlib.metadata import version; + from pathlib import Path; import livekit.agents, pytest, supermemory_livekit; + assert version('supermemory') == '${{ matrix.supermemory-version }}'; + assert version('livekit-agents') == '${{ matrix.livekit-agents-version }}'; + assert 'site-packages' in Path(supermemory_livekit.__file__).parts; + result = pytest.main(['-W', 'ignore::pytest.PytestAssertRewriteWarning', 'tests']); + raise SystemExit(result)" diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 6ccdb7a1..1a81e979 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -7,6 +7,12 @@ concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} cancel-in-progress: true +permissions: + contents: read + +env: + FORCE_COLOR: 1 + jobs: quality-checks: name: Quality Checks diff --git a/.github/workflows/publish-livekit-sdk-python.yml b/.github/workflows/publish-livekit-sdk-python.yml new file mode 100644 index 00000000..a1b4f27e --- /dev/null +++ b/.github/workflows/publish-livekit-sdk-python.yml @@ -0,0 +1,44 @@ +name: Publish LiveKit SDK Python + +on: + push: + branches: + - main + paths: + - "packages/livekit-sdk-python/pyproject.toml" + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: false + +jobs: + publish: + runs-on: ubuntu-latest + timeout-minutes: 15 + permissions: + contents: read + id-token: write + defaults: + run: + working-directory: ./packages/livekit-sdk-python + steps: + - name: Checkout + uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1 + with: + persist-credentials: false + + - name: Setup Python + uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0 + with: + python-version: "3.12" + + - name: Install build dependencies + run: python -m pip install hatchling build + + - name: Build package + run: python -m build + + - name: Publish to PyPI + uses: pypa/gh-action-pypi-publish@dc37677b2e1c63e2034f94d8a5b11f265b73ba33 # v1.14.2 + with: + packages-dir: packages/livekit-sdk-python/dist/ diff --git a/README.md b/README.md index e7b92744..6c2daacc 100644 --- a/README.md +++ b/README.md @@ -336,7 +336,7 @@ const client = new Supermemory({ - **Bring any model** — OpenAI, Anthropic, Gemini, Groq, or any OpenAI-compatible endpoint. An interactive wizard walks you through it on first boot. - **Embeddings** — local `Xenova/bge-base-en-v1.5` by default (no API key); optionally OpenAI, Gemini, or Ollama. Same provider stack as cloud. -- **Fully offline if you want** — point it at Ollama (`gpt-oss:20b` works great) and nothing leaves your machine. +- **Offline text memories if you want** — point it at Ollama (`gpt-oss:20b` works great), disable telemetry with `SUPERMEMORY_DISABLE_TELEMETRY=1`, and use local text or file inputs after the first embedding-model download. URL ingestion uses a hosted reader service. - **Your data, one directory** — everything lives in `./.supermemory`, easy to back up or move. - **Same API as the platform** — prototype locally, ship on the hosted platform by changing `baseURL`. diff --git a/apps/docs/docs.json b/apps/docs/docs.json index c75b5007..f481ab7a 100644 --- a/apps/docs/docs.json +++ b/apps/docs/docs.json @@ -140,6 +140,7 @@ "pages": [ "using-supermemory", "authentication", + "invite-team-members", "concepts/customization", { "group": "Ingestion", @@ -275,6 +276,7 @@ "integrations/claude-memory", "integrations/pipecat", "integrations/cartesia", + "integrations/livekit", "integrations/n8n", "integrations/viasocket", "integrations/zapier", @@ -542,6 +544,11 @@ "permanent": true, "source": "/voice-realtime/pipecat" }, + { + "destination": "/integrations/livekit", + "permanent": true, + "source": "/voice-realtime/livekit" + }, { "destination": "/integrations/n8n", "permanent": true, diff --git a/apps/docs/images/livekit-dark.svg b/apps/docs/images/livekit-dark.svg new file mode 100644 index 00000000..00738bff --- /dev/null +++ b/apps/docs/images/livekit-dark.svg @@ -0,0 +1,18 @@ + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/apps/docs/images/livekit.svg b/apps/docs/images/livekit.svg new file mode 100644 index 00000000..cf1d004f --- /dev/null +++ b/apps/docs/images/livekit.svg @@ -0,0 +1,18 @@ + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/apps/docs/images/team/invite-member.png b/apps/docs/images/team/invite-member.png new file mode 100644 index 00000000..450e4c44 Binary files /dev/null and b/apps/docs/images/team/invite-member.png differ diff --git a/apps/docs/images/team/team-settings.png b/apps/docs/images/team/team-settings.png new file mode 100644 index 00000000..3c60c389 Binary files /dev/null and b/apps/docs/images/team/team-settings.png differ diff --git a/apps/docs/integrations/livekit.mdx b/apps/docs/integrations/livekit.mdx new file mode 100644 index 00000000..585fa5ee --- /dev/null +++ b/apps/docs/integrations/livekit.mdx @@ -0,0 +1,193 @@ +--- +title: "LiveKit" +sidebarTitle: "LiveKit (Voice)" +description: "Add persistent memory to LiveKit Agents voice sessions" +icon: "/images/livekit.svg" +--- + +Supermemory integrates with [LiveKit Agents](https://docs.livekit.io/agents/), so a voice agent can remember a caller across sessions and use that context on the next turn. Recall runs before the model replies. Completed turns are stored automatically. The model can also search, remember, and forget explicitly. + +A Supermemory timeout or outage is skipped. It does not end the call. + +## Installation + +```bash +pip install supermemory-livekit +``` + +```bash +export SUPERMEMORY_API_KEY=your_supermemory_api_key +``` + +Create a key at [console.supermemory.ai](https://console.supermemory.ai). For a self-hosted API, pass `base_url` to `SupermemoryLiveKit`. + +## Scope + +Memory is isolated by container tag. Use a stable caller id, the same one you use in the rest of your app, so a LiveKit call and a chat session share one profile. + +Container tags may only contain letters, numbers, `_`, `-`, and `:`, and must be 100 characters or fewer. Two ways to set it: + +- Pass `container_tag` yourself, usually from [job metadata](https://docs.livekit.io/agents/build/external-data/). +- Let the plugin read the participant attribute `supermemory_container_tag`, or fall back to the participant identity. + +Identities that are not valid container tags are sanitized to a stable tag. Set the attribute when the identity is an email, phone number, or SIP address and you already have memories under a different id. + +Set the attribute in the access token your backend issues. Do not grant the caller `canUpdateOwnMetadata`, or they could change the attribute and read another caller's memory. + +One call is stored as a single document. Pass the LiveKit room name as `session_id`. The session id is the document's custom id, so a later update with the same id appends to that call instead of creating another. + +Use one `SupermemoryLiveKit` per call. If you do rebind it, turns already captured stay with the caller who said them, and memory from the earlier caller is never shown to the new one. + +## Quick start + +Create one `SupermemoryLiveKit` inside the job. A worker handles many calls, and each call needs its own scope. + +```python +import json +import os + +from livekit import agents +from livekit.agents import AgentServer, AgentSession, ChatContext, JobContext +from supermemory_livekit import SupermemoryAgent, SupermemoryLiveKit + +server = AgentServer() + + +@server.rtc_session(agent_name="memory-agent") +async def entrypoint(ctx: JobContext): + memory = SupermemoryLiveKit(api_key=os.environ["SUPERMEMORY_API_KEY"]) + metadata = json.loads(ctx.job.metadata or "{}") + container_tag = metadata.get("container_tag") + if container_tag: + memory.bind(container_tag=container_tag, session_id=ctx.room.name) + + chat_ctx = ChatContext() + if container_tag: + await memory.preload(chat_ctx) + + await ctx.connect() + if not container_tag: + participant = await ctx.wait_for_participant() + memory.bind(participant=participant, session_id=ctx.room.name) + + session = AgentSession( + stt="deepgram/nova-3:en", + llm="openai/gpt-4.1-mini", + tts="cartesia/sonic-3", + ) + memory.attach(session) + await session.start( + room=ctx.room, + agent=SupermemoryAgent( + memory, + chat_ctx=chat_ctx, + instructions=( + "You are a helpful voice assistant. You remember this caller across calls. " + "Use that naturally, and do not mention the memory system." + ), + ), + ) + + +if __name__ == "__main__": + agents.cli.run_app(server) +``` + +`preload` puts the caller's profile into the first turn, so the greeting can use it. `attach` stores the conversation after each agent reply, and stores anything left when the session closes, including a caller who hangs up mid-turn. `SupermemoryAgent` recalls inside `llm_node` before each reply and adds the memory tools. That covers voice turns, text turns from `generate_reply` or `session.run`, and LiveKit's preemptive generation. Each user message is recalled once, and tool follow-ups reuse it. + +A runnable version, with a greeting that uses the caller's memory, is in the [example agent](https://github.com/supermemoryai/supermemory/tree/main/packages/livekit-sdk-python/examples). + +`agent_name` turns on explicit dispatch, which is how job metadata reaches the agent. Remove it to join every new room automatically, for example when testing in the [Agents Playground](https://agents-playground.livekit.io). + +## Your own agent + +If you already subclass `Agent`, keep that class. Pass the tools in, and recall from `llm_node`. + +```python +from livekit.agents import Agent +from supermemory_livekit import SupermemoryLiveKit + + +class Assistant(Agent): + def __init__(self, memory: SupermemoryLiveKit) -> None: + super().__init__( + instructions="You are a helpful voice assistant.", + tools=memory.tools(), + ) + self.memory = memory + + async def llm_node(self, chat_ctx, tools, model_settings): + await self.memory.enrich(chat_ctx) + return Agent.default.llm_node(self, chat_ctx, tools, model_settings) +``` + +Call `memory.attach(session)` before `session.start`. + +Recall in `llm_node` rather than `on_user_turn_completed`. Changing the turn context in that hook makes LiveKit discard its preemptive generation, which adds latency to every turn. + +Realtime models skip `llm_node`. With a realtime model, call `await self.memory.on_user_turn_completed(turn_ctx, new_message)` from `on_user_turn_completed` instead. That hook only runs when turn detection runs in your agent, not inside the model. See [LiveKit's external data guide](https://docs.livekit.io/agents/build/external-data/). `SupermemoryAgent` picks the right hook for you. Turn capture still listens for `conversation_item_added`. + +## What gets recalled + +| Mode | Static profile | Dynamic profile | Search | Use when | +| --- | --- | --- | --- | --- | +| `profile` | Yes | Yes | No | Durable facts are enough | +| `query` | No | No | Yes | Only this turn's related memories | +| `full` | Yes | Yes | Yes | Default | + +```python +from supermemory_livekit import InputParams, SupermemoryLiveKit + +memory = SupermemoryLiveKit( + container_tag="user_123", + params=InputParams( + mode="full", + search_limit=10, + search_threshold=0.1, + recall_timeout=2.0, + capture="always", + capture_dreaming="instant", + ), +) +``` + +Recall waits at most `recall_timeout` seconds (default 2). If the profile call is slower than that, or fails, the turn falls back to the profile loaded by `preload` at the start of the call, or proceeds without memory if there was none. In our tests most recalls took 0.4 to 1.4 seconds, with occasional calls near 3 seconds. Raise `recall_timeout` if you would rather wait than miss memory on a slow turn. Retrieved text is inserted immediately before the user message and is not stored back as something the agent said. + +| Parameter | Default | Description | +| --- | --- | --- | +| `search_limit` | `10` | Maximum search results merged into the turn | +| `search_threshold` | `0.1` | Minimum similarity, from 0 to 1 | +| `mode` | `"full"` | `profile`, `query`, or `full` | +| `recall_timeout` | `2.0` | Seconds to wait before skipping recall | +| `capture` | `"always"` | `never` disables storing the call | +| `capture_dreaming` | `"instant"` | How the call transcript becomes memories. See below. | + +## Tools + +`SupermemoryAgent` adds these tools. They are scoped to the bound container tag, so the model cannot read or write another caller. + +| Tool | Used for | +| --- | --- | +| `search_memories` | Look up facts and past calls when the automatic recall is not enough | +| `remember` | Save one explicit fact, preference, or correction | +| `forget` | Forget one fact by id from `search_memories`, or by exact text | + +`remember` stores a standalone fact and processes it immediately (`dreaming="instant"`), so it is usually recallable within a minute. If your organization has no balance for instant processing, it is saved on the default schedule instead. It is not appended to the call transcript. Automatic capture is what records the conversation. + +### When a call becomes recallable + +Captured turns are written after each agent reply, but they become memories on Supermemory's processing schedule: + +- With the default `capture_dreaming="instant"`, each write is processed on its own and is usually recallable within a minute, so a caller who rings back is recalled from the last call. Each write bills one extra operation, and the call is written after every agent reply. If your organization has no balance for instant processing, the call is saved on the `dynamic` schedule instead. +- With `capture_dreaming="dynamic"`, related documents are processed together at no extra cost. In our tests this took 10 to 20 minutes, so a caller who rings back right away is not recalled from the last call yet. +- In both modes, `search_memories` finds the raw call text as soon as it is stored, so the model can still look up a recent call. + +## Self-hosting + +```python +memory = SupermemoryLiveKit( + api_key=os.environ["SUPERMEMORY_API_KEY"], + base_url="http://localhost:6767", + container_tag="user_123", +) +``` diff --git a/apps/docs/invite-team-members.mdx b/apps/docs/invite-team-members.mdx new file mode 100644 index 00000000..eda9aa4f --- /dev/null +++ b/apps/docs/invite-team-members.mdx @@ -0,0 +1,66 @@ +--- +title: "Invite team members" +sidebarTitle: "Invite Team Members" +description: "Invite a colleague to your Supermemory organization, choose their access, and share the invitation link." +contentType: "How-to" +icon: "/icons/hugeicons/user-multiple.svg" +--- + +Invite colleagues from the [Supermemory console](https://console.supermemory.ai) so they can access your organization’s workspace. Choose their role and access, then share an invitation link they can accept with their own account. + +## Before you begin + +Check these requirements before you invite someone: + +- You’re an **Owner** or **Admin** in the organization. +- Your organization has a plan that supports team invitations. Pro and higher include this feature. +- You have an available member seat. Members and unexpired pending invitations count toward your limit. +- You know the email address your colleague uses to sign in to Supermemory. + +If **Invite member** is disabled, hover over it to check the plan or member limit. Open **Billing** to upgrade if needed. + +## Create and share an invitation + +Create the invitation in the organization your colleague needs to join: + + + + Open the [console](https://console.supermemory.ai) and select your organization from the top-left organization menu. Open **Settings** → **Team**. + + + Acme Team settings with Invite member above Members and a Pending invitations table containing an invite link. + + + + Click **Invite member**. Enter the email address your colleague uses to sign in. + + + Select a role: + + - **Member**: Use this role for workspace access without team or billing administration. + - **Admin**: Use this role for full access, including members, billing, and settings. + + For a **Member**, keep **Full access** to include all containers. On Scale or Enterprise, choose **Restricted** to limit access to selected [container tags](/concepts/container-tags). Add at least one tag and select **Read** or **Write** for each tag. + + + Invite member dialog with jordan@example.com entered, Member and Full access selected, and the Send invite button enabled. + + + + Click **Send invite**. Find your colleague’s email under **Pending invitations**. Click their link in the **Invite link** column to copy it, then share it privately with that colleague. + + The invitation expires after seven days. To cancel it, click the **×** at the end of its row. + + + +## Accept the invitation + +Ask your colleague to complete these steps: + +1. Open the invitation link you shared. +2. Log in or create an account with the email address you invited. +3. Check the organization name and role, then click **ACCEPT**. + +If they see **This invitation is not for you**, ask them to click **LOG IN WITH A DIFFERENT ACCOUNT**. They need to sign in with the invited email address. If the invitation has expired or you canceled it, create a new invitation and share its new link. + +Return to **Settings** → **Team** and confirm your colleague appears under **Members**. Their invitation no longer appears under **Pending invitations** after they accept. diff --git a/apps/docs/self-hosting/configuration.mdx b/apps/docs/self-hosting/configuration.mdx index f9d0e1ff..3a12164b 100644 --- a/apps/docs/self-hosting/configuration.mdx +++ b/apps/docs/self-hosting/configuration.mdx @@ -14,8 +14,11 @@ The installer writes API keys to `~/.supermemory/env`, which is loaded on every | Variable | Purpose | Default | |---|---|---| | `PORT` (or `SUPERMEMORY_PORT`) | HTTP listen port | `6767` | +| `SUPERMEMORY_HOST` | In the next release, controls the listen address; not supported by v0.0.8 | `127.0.0.1` in the next release | | `SUPERMEMORY_DATA_DIR` | Where the graph engine's data, auth secret, and model cache live | `./.supermemory` | +**The currently published v0.0.8 binds all interfaces and its implicit local authentication is unsafe when exposed to untrusted networks. Do not expose it; restrict access with a firewall or run it on an isolated machine.** The next release will bind loopback and require the generated key for every API request, including requests from localhost. Its browser welcome page will no longer reveal the key; enter the key printed at first boot in the Memory tab. If you later expose that release through a reverse proxy, protect the endpoint with TLS and access controls. + ## LLM providers In production, Supermemory uses its own proprietary models tuned for long-horizon data understanding. Self-hosted, you bring your own LLM for the intelligent steps — summaries, contextual chunking, and memory extraction. Embeddings default to a local model (no API key) and can optionally use OpenAI, Gemini, or Ollama — see [Embeddings](/self-hosting/embeddings). Configure **at least one** LLM provider: @@ -118,11 +121,7 @@ Raise the limit and concurrency on machines with spare RAM for faster bulk impor ## Telemetry -The self-hosted binary sends no analytics — there is nothing to opt out of. The only related switch: - -| Variable | Purpose | Default | -|---|---|---| -| `SUPERMEMORY_DISABLE_TELEMETRY` | Set to `1` to also disable internal AI SDK telemetry instrumentation | unset | +Supermemory collects telemetry. You can disable it with `SUPERMEMORY_DISABLE_TELEMETRY=1`. ## Platform-only features diff --git a/apps/docs/self-hosting/local-vs-enterprise.mdx b/apps/docs/self-hosting/local-vs-enterprise.mdx index 8325b17c..59aa7f93 100644 --- a/apps/docs/self-hosting/local-vs-enterprise.mdx +++ b/apps/docs/self-hosting/local-vs-enterprise.mdx @@ -5,7 +5,7 @@ description: "Supermemory local is for builders. Supermemory Enterprise is for o icon: "/icons/hugeicons/building-03.svg" --- -Supermemory local — the self-hosted binary — is free, open source, and built for individual developers: local-first workflows, prototyping, air-gapped experiments, privacy-sensitive side projects. +Supermemory local — the self-hosted binary — is free within its lite license limit and built for individual developers: local-first workflows, prototyping, and privacy-sensitive side projects. Its server source is not in the public repository. Text-memory processing can run offline after the first embedding-model download; URL ingestion uses a hosted reader service. **Supermemory Enterprise** is the full platform, run for your organization: the same memory engine with proprietary models, organizational controls, and infrastructure that scales with you — without you operating any of it. diff --git a/apps/docs/self-hosting/overview.mdx b/apps/docs/self-hosting/overview.mdx index 4dea776a..23a854a7 100644 --- a/apps/docs/self-hosting/overview.mdx +++ b/apps/docs/self-hosting/overview.mdx @@ -17,7 +17,7 @@ npx supermemory local ``` -No Docker. No database to provision. No config files. It boots in seconds with everything built in, and it's [open source](https://git.new/memory). +No Docker. No database to provision. No config files. It boots in seconds with everything built in. The SDKs and other components in the [public repository](https://git.new/memory) are open source; the downloadable self-hosted server binary is built from a separate, non-public codebase. ## Zero config, actually @@ -41,7 +41,7 @@ OPENAI_MODEL=gpt-oss:20b \ supermemory-server ``` -Local graph engine, local embeddings, local LLM. Your data never leaves the building. +Local graph engine, local embeddings, local LLM. Text-memory processing can stay on your machine after the embedding model's first download. Supermemory collects telemetry; you can disable it with `SUPERMEMORY_DISABLE_TELEMETRY=1`. URL ingestion uses a hosted reader service; use local text or file inputs for offline operation. ## Drop-in with your existing code @@ -58,7 +58,7 @@ Everything in the [Memory API docs](/quickstart) works the same way. The coding ## Self-hosted vs. the platform -Self-hosted is free, open source, and great for local development, air-gapped environments, and privacy-sensitive workloads. The hosted platform is where the full product lives: +Self-hosted is free within its lite license limit and useful for local development and privacy-sensitive workloads. The server binary is not open source; the hosted platform is where the full product lives: | | Self-hosted | Platform | |---|---|---| diff --git a/apps/docs/style.css b/apps/docs/style.css index a1b4271c..11df8550 100644 --- a/apps/docs/style.css +++ b/apps/docs/style.css @@ -661,6 +661,10 @@ a.nav-tabs-item > div, content: url("/images/opencode-logo-dark.svg"); } +.dark img[src*="livekit.svg"] { + content: url("/images/livekit-dark.svg"); +} + .eve-memory-video { display: block; width: 100%; diff --git a/apps/mcp/src/server/analytics.ts b/apps/mcp/src/server/analytics.ts index c2b30c0b..3c629926 100644 --- a/apps/mcp/src/server/analytics.ts +++ b/apps/mcp/src/server/analytics.ts @@ -1,6 +1,7 @@ import type { McpServer } from "@modelcontextprotocol/server" import { instrument, type MCPAnalyticsOptions } from "@posthog/mcp" import { PostHog } from "posthog-node" +import { OUT_OF_CREDITS_MESSAGE } from "./client" import type { ActorContext, ServerEnv } from "./types" const DEFAULT_POSTHOG_HOST = "https://us.i.posthog.com" @@ -68,6 +69,11 @@ const metadataOnlyMcpEvent: NonNullable = ( return null } + const errorMessage = event.properties.$mcp_error_message + const outOfCredits = + typeof errorMessage === "string" && + errorMessage.includes(OUT_OF_CREDITS_MESSAGE) + return { ...event, properties: { @@ -76,6 +82,10 @@ const metadataOnlyMcpEvent: NonNullable = ( (key) => event.properties[key] !== undefined, ).map((key) => [key, event.properties[key]]), ), + // Billing state, not a server bug, so keep it out of the error rate. + ...(outOfCredits + ? { $mcp_is_error: false, $mcp_error_type: "out_of_credits" } + : {}), $process_person_profile: false, }, } diff --git a/apps/mcp/src/server/client/index.ts b/apps/mcp/src/server/client/index.ts index a2ccc8e7..1b575e15 100644 --- a/apps/mcp/src/server/client/index.ts +++ b/apps/mcp/src/server/client/index.ts @@ -21,6 +21,9 @@ const MAX_CHARS = 200000 export const DEFAULT_PROJECT_ID = "sm_project_default" const FETCH_TIMEOUT_MS = 30_000 const MCP_SOURCE = "supermemory-mcp" +// Analytics matches on this text to tag quota errors, keep them in sync. +export const OUT_OF_CREDITS_MESSAGE = + "Out of credits. Top up or upgrade at https://console.supermemory.ai/billing" export type { ContainerTag, @@ -457,7 +460,7 @@ export class SupermemoryClient { case 401: throw new Error("Authentication failed. Please re-authenticate.") case 402: - throw new Error("Memory limit reached. Upgrade at supermemory.ai") + throw new Error(OUT_OF_CREDITS_MESSAGE) case 403: throw new Error( message || diff --git a/apps/web/next.config.ts b/apps/web/next.config.ts index 2723513e..3118b272 100644 --- a/apps/web/next.config.ts +++ b/apps/web/next.config.ts @@ -4,6 +4,7 @@ import type { NextConfig } from "next" const nextConfig: NextConfig = { poweredByHeader: false, skipTrailingSlashRedirect: true, + agentRules: false, } export default nextConfig diff --git a/apps/web/package.json b/apps/web/package.json index 162eb325..1b5d79d1 100644 --- a/apps/web/package.json +++ b/apps/web/package.json @@ -19,8 +19,8 @@ "cf-typegen": "wrangler types --env-interface CloudflareEnv cloudflare-env.d.ts" }, "dependencies": { - "@opennextjs/cloudflare": "^1.12.0", - "next": "^16.0.11", + "@opennextjs/cloudflare": "^1.20.8", + "next": "16.3.8", "react": "^19.2.4", "react-dom": "^19.2.4" }, @@ -31,7 +31,7 @@ "@types/react": "^19.2.9", "@types/react-dom": "^19.2.3", "typescript": "^5.8.3", - 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"dist" diff --git a/packages/lib/auth.middleware.ts b/packages/lib/auth.middleware.ts index 3b1f1f40..c456b8cd 100644 --- a/packages/lib/auth.middleware.ts +++ b/packages/lib/auth.middleware.ts @@ -1,8 +1,8 @@ +import { apiKeyClient } from "@better-auth/api-key/client" import { createAuthClient } from "better-auth/client" import { adminClient, anonymousClient, - apiKeyClient, emailOTPClient, magicLinkClient, organizationClient, diff --git a/packages/lib/auth.ts b/packages/lib/auth.ts index af0e989b..205ea201 100644 --- a/packages/lib/auth.ts +++ b/packages/lib/auth.ts @@ -1,9 +1,8 @@ +import { apiKeyClient } from "@better-auth/api-key/client" import { adminClient, anonymousClient, - apiKeyClient, emailOTPClient, - genericOAuthClient, magicLinkClient, organizationClient, usernameClient, @@ -20,7 +19,6 @@ export const authClient = createAuthClient({ usernameClient(), magicLinkClient(), emailOTPClient(), - genericOAuthClient(), apiKeyClient(), adminClient(), organizationClient(), diff --git a/packages/lib/package.json b/packages/lib/package.json index c83e27db..b4fc310b 100644 --- a/packages/lib/package.json +++ b/packages/lib/package.json @@ -13,11 +13,12 @@ "@ai-sdk/anthropic": "^1.2.12", "@ai-sdk/google": "^1.2.22", "@ai-sdk/groq": "^1.2.9", + "@better-auth/api-key": "1.7.6", "@better-fetch/fetch": "^1.1.18", "@tanstack/react-query": "^5.90.14", "@tanstack/react-query-devtools": "^5.84.2", "ai-gateway-provider": "^0.0.11", - "better-auth": "1.3.3", + "better-auth": "1.7.6", "clsx": "^2.1.1", "posthog-js": "^1.336.0", "sonner": "^2.0.5", diff --git a/packages/livekit-sdk-python/README.md b/packages/livekit-sdk-python/README.md new file mode 100644 index 00000000..0b7904a4 --- /dev/null +++ b/packages/livekit-sdk-python/README.md @@ -0,0 +1,120 @@ +# Supermemory LiveKit SDK + +Persistent memory for [LiveKit Agents](https://docs.livekit.io/agents/) voice sessions, powered by [Supermemory](https://supermemory.ai). + +The plugin recalls the caller's profile and relevant memories before each reply, stores the call as one conversation, and gives the model tools to search, remember, and forget. A Supermemory outage does not end the call. + +## Installation + +```bash +pip install supermemory-livekit +``` + +```bash +export SUPERMEMORY_API_KEY=your_supermemory_api_key +``` + +Create a key at [console.supermemory.ai](https://console.supermemory.ai). + +## Quick start + +Scope memory with a stable caller id. A LiveKit participant identity works when it is already a container tag (`letters`, `numbers`, `_`, `-`, `:`). Otherwise set the participant attribute `supermemory_container_tag`. + +```python +import json +import os + +from livekit import agents +from livekit.agents import AgentServer, AgentSession, ChatContext, JobContext +from supermemory_livekit import SupermemoryAgent, SupermemoryLiveKit + +server = AgentServer() + + +@server.rtc_session(agent_name="memory-agent") +async def entrypoint(ctx: JobContext): + memory = SupermemoryLiveKit(api_key=os.getenv("SUPERMEMORY_API_KEY")) + metadata = json.loads(ctx.job.metadata or "{}") + container_tag = metadata.get("container_tag") + if container_tag: + memory.bind(container_tag=container_tag, session_id=ctx.room.name) + + chat_ctx = ChatContext() + if container_tag: + await memory.preload(chat_ctx) + + await ctx.connect() + if not container_tag: + participant = await ctx.wait_for_participant() + memory.bind(participant=participant, session_id=ctx.room.name) + + session = AgentSession( + stt="deepgram/nova-3:en", + llm="openai/gpt-4.1-mini", + tts="cartesia/sonic-3", + ) + memory.attach(session) + await session.start( + room=ctx.room, + agent=SupermemoryAgent( + memory, + chat_ctx=chat_ctx, + instructions=( + "You are a helpful voice assistant. You remember this caller across calls. " + "Use that naturally, and do not mention the memory system." + ), + ), + ) + + +if __name__ == "__main__": + agents.cli.run_app(server) +``` + +A runnable version with a greeting that uses memory is in [examples/](examples/). + +If you already have an `Agent` subclass, pass `tools=memory.tools()` and recall from `llm_node`: + +```python +async def llm_node(self, chat_ctx, tools, model_settings): + await memory.enrich(chat_ctx) + return Agent.default.llm_node(self, chat_ctx, tools, model_settings) +``` + +Recall in `llm_node`, not `on_user_turn_completed`: changing the turn context in that hook makes LiveKit discard its preemptive generation. Realtime models skip `llm_node`, so with one call `await memory.on_user_turn_completed(turn_ctx, new_message)` from `on_user_turn_completed`. `SupermemoryAgent` picks the right hook for you. Call capture listens to `conversation_item_added`. + +## Configuration + +```python +from supermemory_livekit import InputParams, SupermemoryLiveKit + +memory = SupermemoryLiveKit( + container_tag="user_123", + session_id="room-123", + params=InputParams( + mode="full", # "profile" | "query" | "full" + search_limit=10, + search_threshold=0.1, + recall_timeout=2.0, # seconds; a slow recall falls back to the preloaded profile + capture="always", # "always" | "never" + capture_dreaming="instant", # see "When a call becomes recallable" below + ), +) +``` + +| Mode | Profile | Search | Use when | +| --- | --- | --- | --- | +| `profile` | Yes | No | You only need durable facts | +| `query` | No | Yes | You only need memories related to this turn | +| `full` | Yes | Yes | Default | + +One call is stored as a single document whose custom id is the session id, so a reconnect with the same session id updates that document instead of creating another. Explicit `remember` calls are separate facts, processed immediately (usually recallable within a minute), and are not tied to the call document. + +### When a call becomes recallable + +With the default `capture_dreaming="instant"`, a captured call is usually recallable within a minute. Each write bills one extra operation, and the call is written after every agent reply. If your organization has no balance for instant processing, the call falls back to the `dynamic` schedule. `capture_dreaming="dynamic"` costs nothing extra but took 10 to 20 minutes to become memories in our tests. In both modes `search_memories` finds the raw call text as soon as it is stored. + +## Links + +- [Docs](https://supermemory.ai/docs/integrations/livekit) +- [LiveKit Agents](https://docs.livekit.io/agents/) diff --git a/packages/livekit-sdk-python/examples/.env.example b/packages/livekit-sdk-python/examples/.env.example new file mode 100644 index 00000000..3bda6f73 --- /dev/null +++ b/packages/livekit-sdk-python/examples/.env.example @@ -0,0 +1,14 @@ +# LiveKit Cloud project: Settings > API keys. The same keys cover STT, LLM, and TTS +# through LiveKit Inference. +LIVEKIT_URL=wss://your-project.livekit.cloud +LIVEKIT_API_KEY= +LIVEKIT_API_SECRET= + +# https://console.supermemory.ai +SUPERMEMORY_API_KEY= + +# Optional: pin every call to one caller while testing. +# SUPERMEMORY_CONTAINER_TAG=demo_caller + +# Optional: require explicit dispatch, so your backend can pass {"container_tag": ...}. +# LIVEKIT_AGENT_NAME=memory-agent diff --git a/packages/livekit-sdk-python/examples/README.md b/packages/livekit-sdk-python/examples/README.md new file mode 100644 index 00000000..6d01f2fa --- /dev/null +++ b/packages/livekit-sdk-python/examples/README.md @@ -0,0 +1,38 @@ +# Voice agent example + +A LiveKit voice agent that remembers each caller. Tell it something on one call, hang up, and it knows it on the next. + +## Setup + +```bash +pip install supermemory-livekit python-dotenv +cp .env.example .env +``` + +Fill in `.env` with your LiveKit Cloud project keys and a [Supermemory API key](https://console.supermemory.ai). LiveKit Inference provides speech-to-text, the LLM, and text-to-speech, so no other keys are needed. + +From a checkout of this repo, install the local package instead: `pip install -e .. python-dotenv`. + +## Talk to it + +In your terminal, through your mic: + +```bash +python voice_agent.py console +``` + +In the browser: run `python voice_agent.py dev`, open the [Agents Playground](https://agents-playground.livekit.io), and connect to your project. + +## Try memory + +1. Say "My name is Priya, and please remember I'm vegetarian." +2. Hang up and start a new call. +3. The agent welcomes you back. Ask "What should I order for dinner?" + +Memory is scoped per caller: + +- Console mode uses the container tag `console_user`. +- In rooms, the agent uses the participant attribute `supermemory_container_tag`, or else the participant identity. The Playground gives each session a new identity, so set `SUPERMEMORY_CONTAINER_TAG` in `.env` to keep one caller across Playground calls. +- In production, dispatch the agent from your backend with `{"container_tag": ""}` as job metadata, and set `LIVEKIT_AGENT_NAME`. + +Each call is stored as one document and is usually recallable within a minute, see [when a call becomes recallable](https://supermemory.ai/docs/integrations/livekit#when-a-call-becomes-recallable). See the [integration docs](https://supermemory.ai/docs/integrations/livekit) for configuration. diff --git a/packages/livekit-sdk-python/examples/voice_agent.py b/packages/livekit-sdk-python/examples/voice_agent.py new file mode 100644 index 00000000..f6d4a7cf --- /dev/null +++ b/packages/livekit-sdk-python/examples/voice_agent.py @@ -0,0 +1,71 @@ +"""Voice agent that remembers each caller across calls. + +Run from this folder after filling in .env (see README.md): + + python voice_agent.py console # talk through your mic in the terminal + python voice_agent.py dev # join LiveKit rooms, e.g. from the Agents Playground +""" + +import json +import logging +import os + +from dotenv import load_dotenv +from livekit import agents +from livekit.agents import AgentServer, AgentSession, ChatContext, JobContext +from supermemory_livekit import SupermemoryAgent, SupermemoryLiveKit + +load_dotenv() +logger = logging.getLogger("voice-agent") + +INSTRUCTIONS = ( + "You are a friendly voice assistant. You remember this caller across calls. " + "Use what you know naturally, and do not mention the memory system. " + "When the caller asks you to remember something, call remember. Keep replies short." +) + +server = AgentServer() + + +# An agent_name turns on explicit dispatch, which is how job metadata reaches the agent. +# Leave it empty to join every new room, which the Agents Playground needs. +@server.rtc_session(agent_name=os.getenv("LIVEKIT_AGENT_NAME", "")) +async def entrypoint(ctx: JobContext): + memory = SupermemoryLiveKit(api_key=os.environ["SUPERMEMORY_API_KEY"]) + + # Your backend can pass the caller id in dispatch metadata. SUPERMEMORY_CONTAINER_TAG + # pins every call to one caller while testing. Console mode has no remote participant. + metadata = json.loads(ctx.job.metadata or "{}") + container_tag = metadata.get("container_tag") or os.getenv("SUPERMEMORY_CONTAINER_TAG") + if not container_tag and ctx.is_fake_job(): + container_tag = "console_user" + + await ctx.connect() + if container_tag: + memory.bind(container_tag=container_tag, session_id=ctx.room.name) + else: + participant = await ctx.wait_for_participant() + memory.bind(participant=participant, session_id=ctx.room.name) + logger.info("memory scoped to container tag %s", memory.container_tag) + + # The caller's profile goes into the first turn, so the greeting can use it. + chat_ctx = ChatContext() + await memory.preload(chat_ctx) + + session = AgentSession( + stt="deepgram/nova-3:en", + llm="openai/gpt-4.1-mini", + tts="cartesia/sonic-3", + ) + memory.attach(session) + await session.start( + room=ctx.room, + agent=SupermemoryAgent(memory, chat_ctx=chat_ctx, instructions=INSTRUCTIONS), + ) + await session.generate_reply( + instructions="Greet the caller. If you already know them, welcome them back by name." + ) + + +if __name__ == "__main__": + agents.cli.run_app(server) diff --git a/packages/livekit-sdk-python/pyproject.toml b/packages/livekit-sdk-python/pyproject.toml new file mode 100644 index 00000000..f699f894 --- /dev/null +++ b/packages/livekit-sdk-python/pyproject.toml @@ -0,0 +1,56 @@ +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[project] +name = "supermemory-livekit" +version = "0.1.0" +description = "Supermemory integration for LiveKit Agents — persistent memory for voice AI" +readme = "README.md" +license = "MIT" +requires-python = ">=3.10" +authors = [ + { name = "Supermemory", email = "support@supermemory.ai" } +] +keywords = [ + "supermemory", + "livekit", + "memory", + "voice-ai", + "agents", +] +classifiers = [ + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "License :: OSI Approved :: MIT License", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Topic :: Scientific/Engineering :: Artificial Intelligence", +] +dependencies = [ + "livekit-agents>=1.3.6,<2", + "pydantic>=2.10.0", + "supermemory>=3.50.0", +] + +[project.optional-dependencies] +dev = [ + "pytest>=8.3.5", +] + +[project.urls] +Homepage = "https://supermemory.ai" +Documentation = "https://supermemory.ai/docs/integrations/livekit" +Repository = "https://github.com/supermemoryai/supermemory" + +[tool.hatch.build.targets.wheel] +packages = ["src/supermemory_livekit"] + +[tool.hatch.build.targets.sdist] +include = [ + "/src", + "/tests", + "/README.md", +] diff --git a/packages/livekit-sdk-python/src/supermemory_livekit/__init__.py b/packages/livekit-sdk-python/src/supermemory_livekit/__init__.py new file mode 100644 index 00000000..b2a1894a --- /dev/null +++ b/packages/livekit-sdk-python/src/supermemory_livekit/__init__.py @@ -0,0 +1,29 @@ +"""Supermemory for LiveKit Agents.""" + +from importlib.metadata import PackageNotFoundError, version +from typing import Any + +from .exceptions import ConfigurationError, SupermemoryLiveKitError +from .memory import InputParams, SupermemoryLiveKit + +try: + __version__ = version("supermemory-livekit") +except PackageNotFoundError: + __version__ = "0.1.0" + + +def __getattr__(name: str) -> Any: + if name == "SupermemoryAgent": + from .agent import SupermemoryAgent + + return SupermemoryAgent + raise AttributeError(f"module {__name__!r} has no attribute {name!r}") + + +__all__ = [ + "ConfigurationError", + "InputParams", + "SupermemoryAgent", + "SupermemoryLiveKit", + "SupermemoryLiveKitError", +] diff --git a/packages/livekit-sdk-python/src/supermemory_livekit/agent.py b/packages/livekit-sdk-python/src/supermemory_livekit/agent.py new file mode 100644 index 00000000..cab249bc --- /dev/null +++ b/packages/livekit-sdk-python/src/supermemory_livekit/agent.py @@ -0,0 +1,43 @@ +"""Agent subclass that recalls memory before each reply.""" + +from typing import Any + +from livekit.agents import Agent, llm + +from .memory import SupermemoryLiveKit + + +class SupermemoryAgent(Agent): + """LiveKit agent that injects Supermemory before each reply. + + Recall runs in ``llm_node``, so voice and text turns both get memory and + LiveKit's preemptive generation is kept. Realtime models skip ``llm_node``, + so for those it runs in ``on_user_turn_completed``. + + Pass any extra tools through ``tools``. Memory tools are added for you. + Override ``llm_node`` or ``on_user_turn_completed`` and call ``super()`` if you + also need those hooks. + """ + + def __init__(self, memory: SupermemoryLiveKit, **kwargs: Any) -> None: + tools = list(kwargs.pop("tools", None) or []) + tools.extend(memory.tools()) + super().__init__(tools=tools, **kwargs) + self.memory = memory + + async def on_user_turn_completed(self, turn_ctx: Any, new_message: Any) -> None: + if self._uses_realtime_model(): + await self.memory.on_user_turn_completed(turn_ctx, new_message) + + async def llm_node(self, chat_ctx: Any, tools: list[Any], model_settings: Any) -> Any: + await self.memory.enrich(chat_ctx) + return Agent.default.llm_node(self, chat_ctx, tools, model_settings) + + def _uses_realtime_model(self) -> bool: + model = self.llm + if not isinstance(model, (llm.LLM, llm.RealtimeModel)): + try: + model = self.session.llm + except RuntimeError: + return False + return isinstance(model, llm.RealtimeModel) diff --git a/packages/livekit-sdk-python/src/supermemory_livekit/exceptions.py b/packages/livekit-sdk-python/src/supermemory_livekit/exceptions.py new file mode 100644 index 00000000..44dbc635 --- /dev/null +++ b/packages/livekit-sdk-python/src/supermemory_livekit/exceptions.py @@ -0,0 +1,19 @@ +"""Errors raised while configuring the LiveKit integration.""" + +from typing import Optional + + +class SupermemoryLiveKitError(Exception): + def __init__(self, message: str, original_error: Optional[Exception] = None): + super().__init__(message) + self.message = message + self.original_error = original_error + + def __str__(self) -> str: + if self.original_error: + return f"{self.message}: {self.original_error}" + return self.message + + +class ConfigurationError(SupermemoryLiveKitError): + """Raised when the integration cannot start, for example a missing API key.""" diff --git a/packages/livekit-sdk-python/src/supermemory_livekit/identifiers.py b/packages/livekit-sdk-python/src/supermemory_livekit/identifiers.py new file mode 100644 index 00000000..24b6f4d2 --- /dev/null +++ b/packages/livekit-sdk-python/src/supermemory_livekit/identifiers.py @@ -0,0 +1,22 @@ +"""Map LiveKit identities onto Supermemory container tags and custom ids.""" + +import hashlib +import re + +_INVALID = re.compile(r"[^a-zA-Z0-9_:-]+") +_MAX_LEN = 100 + + +def to_identifier(value: str) -> str: + """Return a stable container tag or custom id, hashing only when sanitizing.""" + raw = value.strip() + if not raw: + raise ValueError("identifier is empty") + + cleaned = _INVALID.sub("_", raw).strip("_") or "id" + if cleaned == raw and len(cleaned) <= _MAX_LEN: + return cleaned + + digest = hashlib.sha256(raw.encode()).hexdigest()[:8] + head = cleaned[: _MAX_LEN - len(digest) - 1].strip("_") or "id" + return f"{head}_{digest}"[:_MAX_LEN] diff --git a/packages/livekit-sdk-python/src/supermemory_livekit/memory.py b/packages/livekit-sdk-python/src/supermemory_livekit/memory.py new file mode 100644 index 00000000..dde920dd --- /dev/null +++ b/packages/livekit-sdk-python/src/supermemory_livekit/memory.py @@ -0,0 +1,527 @@ +"""Recall and capture memory for a LiveKit voice session.""" + +from __future__ import annotations + +import asyncio +import logging +import os +from typing import Any, Literal, Optional +from uuid import uuid4 + +from pydantic import BaseModel, Field + +from .exceptions import ConfigurationError +from .identifiers import to_identifier +from .utils import ( + _field, + deduplicate_memories, + format_memories_to_text, + format_tool_results, + is_injected_memory, + message_role, + message_text, + wrap_memory, +) + +logger = logging.getLogger("supermemory_livekit") + +_UNAVAILABLE = "I couldn't reach memory just now." +_ATTRIBUTE = "supermemory_container_tag" +_STORE_TIMEOUT = 10.0 +_MAX_DOCUMENT_CHARS = 100_000 +_MAX_BUFFERED = 2_000 + + +def _log_flush_failure(task: "asyncio.Task[None]") -> None: + if not task.cancelled() and task.exception() is not None: + logger.warning("memory capture failed; will retry", exc_info=task.exception()) + + +class InputParams(BaseModel): + search_limit: int = Field(default=10, ge=1, le=20) + search_threshold: float = Field(default=0.1, ge=0.0, le=1.0) + system_prompt: str = Field(default="Relevant memory for this caller:\n\n") + mode: Literal["profile", "query", "full"] = "full" + recall_timeout: float = Field(default=2.0, gt=0.0, le=8.0) + capture: Literal["always", "never"] = "always" + capture_dreaming: Literal["dynamic", "instant"] = "instant" + + +class SupermemoryLiveKit: + """Persistent memory for a LiveKit Agents session. + + Call ``enrich`` from ``llm_node`` before the LLM replies, and ``attach`` the + session so completed turns are stored. ``tools()`` exposes search, remember, + and forget to the model. A Supermemory outage never fails the call. + """ + + InputParams = InputParams + + def __init__( + self, + *, + api_key: Optional[str] = None, + container_tag: Optional[str] = None, + session_id: Optional[str] = None, + params: Optional[InputParams] = None, + base_url: Optional[str] = None, + client: Any = None, + ) -> None: + self.api_key = api_key or os.getenv("SUPERMEMORY_API_KEY") + if not self.api_key and client is None: + raise ConfigurationError( + "API key is required. Pass api_key or set SUPERMEMORY_API_KEY." + ) + + self.params = params or InputParams() + self.container_tag: Optional[str] = None + self.session_id: Optional[str] = None + self._generated_session = f"session-{uuid4().hex[:12]}" + self._client = client if client is not None else self._build_client(base_url) + self._seen: set[str] = set() + # Each captured turn keeps the scope it was spoken in, so a rebind cannot move it. + self._buffer: list[dict[str, Optional[str]]] = [] + self._lock = asyncio.Lock() + self._flush_task: Optional[asyncio.Task[None]] = None + self._recall: Optional[tuple[tuple[Optional[str], str], asyncio.Future[Optional[str]]]] = None + self._preloaded: Optional[tuple[str, str]] = None + self._instant_unavailable = False + self._session: Any = None + self._shutdown_registered = False + + if container_tag or session_id: + self.bind(container_tag=container_tag, session_id=session_id) + + def _build_client(self, base_url: Optional[str]) -> Any: + try: + import supermemory + except ImportError as exc: + raise ConfigurationError( + "supermemory is not installed. Install with: pip install supermemory-livekit" + ) from exc + kwargs: dict[str, Any] = {"api_key": self.api_key} + if base_url: + kwargs["base_url"] = base_url + return supermemory.AsyncSupermemory(**kwargs) + + def bind( + self, + *, + container_tag: Optional[str] = None, + session_id: Optional[str] = None, + participant: Any = None, + ) -> None: + """Scope memory to a container tag, or to a LiveKit participant identity.""" + if participant is not None and not container_tag: + attributes = getattr(participant, "attributes", None) or {} + if isinstance(attributes, dict) and attributes.get(_ATTRIBUTE): + container_tag = str(attributes[_ATTRIBUTE]) + else: + container_tag = getattr(participant, "identity", None) + + if container_tag is not None: + raw = str(container_tag).strip() + if not raw: + if participant is None: + raise ConfigurationError("container_tag is empty") + else: + scoped = to_identifier(raw) + if scoped != raw: + logger.info("scoped memory to container tag %s", scoped) + self.container_tag = scoped + if session_id: + self.session_id = str(session_id) + if self.container_tag: + custom_id = self._custom_id() + for message in self._buffer: + if message["tag"] is None: + message["tag"], message["custom_id"] = self.container_tag, custom_id + self._schedule_flush() + + def tools(self) -> list[Any]: + from .tools import build_tools + + return build_tools(self) + + async def preload(self, chat_ctx: Any) -> bool: + """Inject the caller profile into the initial chat context. Returns whether anything was added.""" + tag = self.container_tag + text = await self._recall_text(query=None) + if not text or tag is None or tag != self.container_tag: + return False + self._preloaded = (tag, text) + self._inject(chat_ctx, text, created_at=None) + return True + + async def enrich(self, chat_ctx: Any) -> None: + """Recall for the latest user message and insert it just before that message. + + Call from ``llm_node``. That covers voice and text turns, and runs during + LiveKit's preemptive generation instead of invalidating it. Each user message + is recalled once; tool follow-ups and preemptive retries reuse the result. + """ + user = self._last_user_item(chat_ctx) + if user is not None: + await self._recall_into(chat_ctx, user) + elif not self._preload_matches(): + self._strip_injected(chat_ctx) + + async def on_user_turn_completed(self, turn_ctx: Any, new_message: Any) -> None: + """Recall from the turn hook, for realtime models that skip ``llm_node``. + + With an STT-LLM-TTS pipeline use ``enrich`` from ``llm_node`` instead. Editing + the turn context here discards LiveKit's preemptive generation. + """ + await self._recall_into(turn_ctx, new_message) + + async def _recall_into(self, chat_ctx: Any, user: Any) -> None: + query = message_text(user) + if not query: + return + tag = self.container_tag + # Drop earlier injections first, so a failed recall leaves no memory rather than stale + # or foreign memory. The caller's own call-start profile is the fallback. + self._strip_injected(chat_ctx) + text: Optional[str] = None + try: + text = await self._recall_once(user, query) + except Exception: + logger.warning("memory recall failed", exc_info=True) + if tag != self.container_tag: + return + if not text and self._preload_matches(): + text = self._preloaded[1] if self._preloaded else None + if not text: + return + created_at = getattr(user, "created_at", None) + before = created_at - 0.001 if isinstance(created_at, (int, float)) else None + try: + self._inject(chat_ctx, text, created_at=before) + except Exception: + logger.warning("memory inject failed", exc_info=True) + + async def _recall_once(self, user: Any, query: str) -> Optional[str]: + # Keyed on the user message, so retries and tool follow-ups of one turn share a recall + # while a later turn with the same words recalls again. + key = (self.container_tag, str(getattr(user, "id", None) or query)) + if self._recall is None or self._recall[0] != key: + self._recall = (key, asyncio.ensure_future(self._recall_text(query=query))) + # A cancelled preemptive generation must not cancel a recall the next attempt reuses. + return await asyncio.shield(self._recall[1]) + + def _preload_matches(self) -> bool: + return self._preloaded is not None and self._preloaded[0] == self.container_tag + + def attach( + self, + session: Any, + *, + container_tag: Optional[str] = None, + session_id: Optional[str] = None, + ) -> None: + """Store completed user and assistant turns from this session.""" + if container_tag or session_id: + self.bind(container_tag=container_tag, session_id=session_id) + if self._session is not session: + self._detach() + session.on("conversation_item_added", self._on_conversation_item) + session.on("close", self._on_close) + self._session = session + self._register_shutdown() + + async def aclose(self) -> None: + """Flush captured turns. Safe to call more than once.""" + task = self._flush_task + if task is not None and not task.done(): + try: + await task + except Exception: + logger.warning("memory capture failed while closing", exc_info=True) + for _ in range(2): + if not self._buffer: + return + try: + await self._flush() + return + except Exception: + logger.warning("memory capture failed while closing", exc_info=True) + + async def search(self, query: str) -> str: + tag = self.container_tag + if not tag: + return "Memory is not scoped to a caller yet." + if not query.strip(): + return "No matching memories." + try: + response = await asyncio.wait_for( + self._client.search.memories( + q=query, + container_tag=tag, + limit=self.params.search_limit, + threshold=self.params.search_threshold, + search_mode="hybrid", + ), + timeout=4.0, + ) + except Exception: + logger.warning("memory search failed", exc_info=True) + return _UNAVAILABLE + results = list(_field(response, "results", default=[]) or []) + return format_tool_results(results[: self.params.search_limit]) + + async def remember(self, memory_text: str) -> str: + tag = self.container_tag + text = memory_text.strip() + if not tag: + return "Memory is not scoped to a caller yet." + if not text: + return "Nothing to remember." + try: + await asyncio.wait_for( + self._add( + "instant", + content=text, + container_tag=tag, + metadata={"platform": "livekit", "kind": "explicit"}, + ), + timeout=4.0, + ) + except Exception: + logger.warning("memory remember failed", exc_info=True) + return _UNAVAILABLE + return "Saved." + + async def forget(self, *, memory_id: str = "", memory_text: str = "") -> str: + tag = self.container_tag + if not tag: + return "Memory is not scoped to a caller yet." + memory_id = memory_id.strip() + memory_text = memory_text.strip() + if not memory_id and not memory_text: + return "Pass a memory id from search_memories, or the exact memory text." + kwargs: dict[str, Any] = {"container_tag": tag} + if memory_id: + kwargs["id"] = memory_id + if memory_text: + kwargs["content"] = memory_text + try: + await asyncio.wait_for(self._client.memories.forget(**kwargs), timeout=4.0) + except Exception: + logger.warning("memory forget failed", exc_info=True) + return _UNAVAILABLE + return "Forgotten." + + async def _recall_text(self, *, query: Optional[str]) -> Optional[str]: + if not self.container_tag or self._client is None: + return None + include_profile = self.params.mode in ("profile", "full") + include_search = self.params.mode in ("query", "full") and bool(query) + if self.params.mode == "profile": + include_search = False + if not include_profile and not include_search: + return None + try: + memories = await asyncio.wait_for( + self._retrieve(query if include_search else None), + timeout=self.params.recall_timeout, + ) + except asyncio.TimeoutError: + logger.warning("memory recall timed out after %.2fs", self.params.recall_timeout) + return None + except Exception: + logger.warning("memory recall failed", exc_info=True) + return None + + profile = memories["profile"] + deduped = deduplicate_memories( + static=profile["static"] if include_profile else [], + dynamic=profile["dynamic"] if include_profile else [], + search_results=memories["search_results"] if include_search else [], + ) + text = format_memories_to_text( + deduped, + system_prompt=self.params.system_prompt, + include_static=include_profile, + include_dynamic=include_profile, + include_search=include_search, + ) + return text or None + + async def _retrieve(self, query: Optional[str]) -> dict[str, Any]: + kwargs: dict[str, Any] = { + "container_tag": self.container_tag, + "timeout": self.params.recall_timeout, + } + if query: + kwargs["q"] = query + kwargs["threshold"] = self.params.search_threshold + response = await self._client.profile(**kwargs) + profile = _field(response, "profile") + search_response = _field(response, "search_results", "searchResults") + raw_results = list(_field(search_response, "results", default=[]) or []) + return { + "profile": { + "static": list(_field(profile, "static", default=[]) or []), + "dynamic": list(_field(profile, "dynamic", default=[]) or []), + }, + "search_results": raw_results[: self.params.search_limit], + } + + # LiveKit orders the user turn by timestamp, so a late add would land after it. + def _inject(self, chat_ctx: Any, text: str, *, created_at: Optional[float]) -> None: + wrapped = wrap_memory(text) + if created_at is None: + chat_ctx.add_message(role="assistant", content=wrapped) + return + try: + chat_ctx.add_message(role="assistant", content=wrapped, created_at=created_at) + except TypeError: + chat_ctx.add_message(role="assistant", content=wrapped) + + def _last_user_item(self, chat_ctx: Any) -> Any: + for item in reversed(list(getattr(chat_ctx, "items", []) or [])): + if message_role(item) == "user" and message_text(item): + return item + return None + + def _strip_injected(self, chat_ctx: Any) -> None: + items = list(getattr(chat_ctx, "items", []) or []) + for item in items: + text = message_text(item) + if message_role(item) != "assistant" or not text or not is_injected_memory(text): + continue + item_id = getattr(item, "id", None) + if item_id is not None and hasattr(chat_ctx, "remove"): + chat_ctx.remove(item_id) + elif hasattr(chat_ctx, "items") and item in chat_ctx.items: + chat_ctx.items.remove(item) + + def _on_conversation_item(self, event: Any) -> None: + item = getattr(event, "item", event) + role = message_role(item) + if role not in ("user", "assistant"): + return + text = message_text(item) + if not text or is_injected_memory(text): + return + item_id = getattr(item, "id", None) or f"anon-{id(item)}" + if item_id in self._seen: + return + self._seen.add(item_id) + tag = self.container_tag + self._buffer.append( + { + "role": role, + "content": text, + "tag": tag, + "custom_id": self._custom_id() if tag else None, + } + ) + if len(self._buffer) > _MAX_BUFFERED: + del self._buffer[: len(self._buffer) - _MAX_BUFFERED] + logger.warning("memory capture buffer full; dropped the oldest turns") + if role == "assistant": + self._schedule_flush() + + def _on_close(self, _event: Any = None) -> None: + self._schedule_flush() + + def _schedule_flush(self) -> None: + if self.params.capture != "always" or not self._buffer or self._buffer[0]["tag"] is None: + return + try: + loop = asyncio.get_running_loop() + except RuntimeError: + return + if self._flush_task is not None and not self._flush_task.done(): + return + self._flush_task = loop.create_task(self._flush()) + self._flush_task.add_done_callback(_log_flush_failure) + + async def _flush(self) -> None: + while True: + async with self._lock: + if self.params.capture != "always": + return + batch = self._take_batch() + if not batch: + return + try: + await asyncio.wait_for(self._store(batch), timeout=_STORE_TIMEOUT) + except BaseException: + async with self._lock: + self._buffer = batch + self._buffer + raise + + def _take_batch(self) -> list[dict[str, Optional[str]]]: + """Take the leading turns that share one scope, capped in size.""" + if not self._buffer or self._buffer[0]["tag"] is None: + return [] + scope = (self._buffer[0]["tag"], self._buffer[0]["custom_id"]) + count, size = 0, 0 + for message in self._buffer: + length = len(message["content"] or "") + if (message["tag"], message["custom_id"]) != scope: + break + if count and size + length > _MAX_DOCUMENT_CHARS: + break + count, size = count + 1, size + length + batch, self._buffer = self._buffer[:count], self._buffer[count:] + return batch + + async def _store(self, messages: list[dict[str, Optional[str]]]) -> None: + lines = [ + f"{'User' if message['role'] == 'user' else 'Assistant'}: {message['content']}" + for message in messages + ] + await self._add( + self.params.capture_dreaming, + content="\n".join(lines), + container_tag=messages[0]["tag"], + custom_id=messages[0]["custom_id"], + metadata={"platform": "livekit", "kind": "conversation"}, + ) + + async def _add(self, dreaming: str, **kwargs: Any) -> None: + """Add a document, on the default schedule when instant processing is not available.""" + if dreaming == "instant" and not self._instant_unavailable: + try: + await self._client.add(**kwargs, dreaming="instant") + return + except Exception as exc: + if getattr(exc, "status_code", None) != 402: + raise + # No balance for instant processing: use the default schedule for the rest of the call. + self._instant_unavailable = True + logger.warning("instant memory processing unavailable; using the default schedule") + await self._client.add(**kwargs) + + def _custom_id(self) -> str: + raw = self.session_id or self._generated_session + return to_identifier(raw) + + def _detach(self) -> None: + session = self._session + if session is None or not hasattr(session, "off"): + self._session = None + return + session.off("conversation_item_added", self._on_conversation_item) + session.off("close", self._on_close) + self._session = None + + def _register_shutdown(self) -> None: + if self._shutdown_registered: + return + try: + from livekit.agents import get_job_context + + try: + ctx = get_job_context(required=False) + except TypeError: + ctx = get_job_context() + except Exception: + return + if ctx is None or not hasattr(ctx, "add_shutdown_callback"): + return + ctx.add_shutdown_callback(self.aclose) + self._shutdown_registered = True diff --git a/packages/livekit-sdk-python/src/supermemory_livekit/tools.py b/packages/livekit-sdk-python/src/supermemory_livekit/tools.py new file mode 100644 index 00000000..e07f1189 --- /dev/null +++ b/packages/livekit-sdk-python/src/supermemory_livekit/tools.py @@ -0,0 +1,43 @@ +"""LiveKit function tools bound to one memory scope.""" + +from typing import TYPE_CHECKING, Any + +if TYPE_CHECKING: + from .memory import SupermemoryLiveKit + + +def build_tools(memory: "SupermemoryLiveKit") -> list[Any]: + from livekit.agents import RunContext, function_tool + + @function_tool() + async def search_memories(context: RunContext, query: str) -> str: + """Search long-term memory for facts, preferences, and past calls. + + Args: + query: What to look up, using the caller's words, names, or topic. + """ + del context + return await memory.search(query) + + @function_tool() + async def remember(context: RunContext, fact: str) -> str: + """Save one durable fact the caller asked you to remember. + + Args: + fact: A single sentence fact, preference, decision, or correction. + """ + del context + return await memory.remember(fact) + + @function_tool() + async def forget(context: RunContext, memory_id: str = "", fact: str = "") -> str: + """Forget one learned fact. Pass a memory id from search_memories, or the exact text. + + Args: + memory_id: Id from a search_memories result. Leave empty to match text instead. + fact: Exact memory text to forget when you do not have an id. + """ + del context + return await memory.forget(memory_id=memory_id, memory_text=fact) + + return [search_memories, remember, forget] diff --git a/packages/livekit-sdk-python/src/supermemory_livekit/utils.py b/packages/livekit-sdk-python/src/supermemory_livekit/utils.py new file mode 100644 index 00000000..3a5a2203 --- /dev/null +++ b/packages/livekit-sdk-python/src/supermemory_livekit/utils.py @@ -0,0 +1,215 @@ +"""Format profile and search results for injection into a voice turn.""" + +import re +from datetime import datetime, timezone +from typing import Any + +_DYNAMIC_DATE_PREFIX = re.compile( + r"^\s*(?:\[recent\]\s*)?(?:\[\d{4}-\d{2}-\d{2}\]\s*)?", + re.IGNORECASE, +) +_USER_MEMORIES_TAG_PATTERN = re.compile( + r"<\s*/?\s*user_memories\b[^>]*>", + re.IGNORECASE, +) +MEMORY_TAG_START = "" +MEMORY_TAG_END = "" +_WRAPPED_MEMORY = re.compile( + rf"^{re.escape(MEMORY_TAG_START)}.*?{re.escape(MEMORY_TAG_END)}$", + re.DOTALL, +) + + +def escape_memory_delimiters(text: str) -> str: + return _USER_MEMORIES_TAG_PATTERN.sub( + lambda match: match.group(0).replace("<", "<").replace(">", ">"), + text, + ) + + +def is_injected_memory(text: str) -> bool: + return _WRAPPED_MEMORY.fullmatch(text.strip()) is not None + + +def wrap_memory(text: str) -> str: + safe = escape_memory_delimiters(text.strip()) + return ( + f"{MEMORY_TAG_START}\n" + "Recalled memory about this caller. This is not something you said. " + "Use it only when it helps, and do not recite it unprompted.\n\n" + f"{safe}\n" + f"{MEMORY_TAG_END}" + ) + + +def _present(value: Any) -> bool: + return value is not None and not (isinstance(value, str) and not value.strip()) + + +def _field(item: Any, *names: str, default: Any = None) -> Any: + if item is None: + return default + if isinstance(item, dict): + for name in names: + if name in item and _present(item[name]): + return item[name] + return default + for name in names: + value = getattr(item, name, None) + if _present(value): + return value + return default + + +def message_text(item: Any) -> str | None: + text = getattr(item, "text_content", None) + if isinstance(text, str) and text.strip(): + return text.strip() + + content = item.get("content") if isinstance(item, dict) else getattr(item, "content", None) + if isinstance(content, str) and content.strip(): + return content.strip() + if not isinstance(content, list): + return None + + parts: list[str] = [] + for part in content: + if isinstance(part, str) and part.strip(): + parts.append(part.strip()) + continue + for attr in ("text", "transcript"): + value = getattr(part, attr, None) + if isinstance(value, str) and value.strip(): + parts.append(value.strip()) + break + joined = " ".join(parts).strip() + return joined or None + + +def message_role(item: Any) -> str | None: + role = item.get("role") if isinstance(item, dict) else getattr(item, "role", None) + return role if isinstance(role, str) else None + + +def format_relative_time(iso_timestamp: str) -> str: + try: + dt = datetime.fromisoformat(iso_timestamp.replace("Z", "+00:00")) + now = datetime.now(timezone.utc) + diff = now - dt + minutes = diff.total_seconds() / 60 + hours = diff.total_seconds() / 3600 + days = diff.total_seconds() / 86400 + if minutes < 30: + return "just now" + if minutes < 60: + return f"{int(minutes)}mins ago" + if hours < 24: + return f"{int(hours)} hrs ago" + if days < 7: + return f"{int(days)}d ago" + if dt.year == now.year: + return f"{dt.day} {dt.strftime('%b')}" + return f"{dt.day} {dt.strftime('%b')}, {dt.year}" + except Exception: + return "" + + +def deduplicate_memories( + static: list[str], + dynamic: list[str], + search_results: list[Any], +) -> dict[str, list[Any]]: + seen: set[str] = set() + + def comparison_key(memory: str) -> str: + without_prefix = _DYNAMIC_DATE_PREFIX.sub("", memory.strip()) + return " ".join(without_prefix.split()).casefold() + + def unique_strings(memories: list[str]) -> list[str]: + out: list[str] = [] + for memory in memories: + if not isinstance(memory, str): + continue + key = comparison_key(memory) + if key and key not in seen: + seen.add(key) + out.append(memory) + return out + + def unique_search(results: list[Any]) -> list[Any]: + out: list[Any] = [] + for result in results: + memory = ( + result + if isinstance(result, str) + else _field(result, "memory", "chunk", "content", default="") + ) + if not isinstance(memory, str): + memory = "" + key = comparison_key(memory) + if key and key not in seen: + seen.add(key) + out.append(result) + return out + + return { + "static": unique_strings(static), + "dynamic": unique_strings(dynamic), + "search_results": unique_search(search_results), + } + + +def format_memories_to_text( + memories: dict[str, list[Any]], + *, + system_prompt: str, + include_static: bool, + include_dynamic: bool, + include_search: bool, +) -> str: + sections: list[str] = [] + static = memories["static"] + dynamic = memories["dynamic"] + search_results = memories["search_results"] + + if include_static and static: + sections.append("## User Profile\n" + "\n".join(f"- {item}" for item in static)) + if include_dynamic and dynamic: + sections.append("## Recent Context\n" + "\n".join(f"- {item}" for item in dynamic)) + if include_search and search_results: + lines: list[str] = [] + for item in search_results: + if isinstance(item, str): + lines.append(f"- {item}") + continue + memory = _field(item, "memory", "chunk", "content", default="") + updated_at = _field(item, "updatedAt", "updated_at", default="") + time_str = format_relative_time(updated_at) if isinstance(updated_at, str) else "" + prefix = f"[{time_str}] " if time_str else "" + if isinstance(memory, str) and memory.strip(): + lines.append(f"- {prefix}{memory.strip()}") + if lines: + sections.append("## Relevant Memories\n" + "\n".join(lines)) + + if not sections: + return "" + return f"{system_prompt}\n" + "\n\n".join(sections) + + +def format_tool_results(results: list[Any]) -> str: + lines: list[str] = [] + for item in results: + if isinstance(item, str) and item.strip(): + lines.append(f"- {item.strip()}") + continue + memory = _field(item, "memory") + chunk = _field(item, "chunk", "content", default="") + text = memory if isinstance(memory, str) and memory.strip() else chunk + if not isinstance(text, str) or not text.strip(): + continue + memory_id = _field(item, "id") + if isinstance(memory, str) and memory.strip() and isinstance(memory_id, str) and memory_id: + lines.append(f"- {memory.strip()} (id: {memory_id})") + else: + lines.append(f"- {text.strip()}") + return "\n".join(lines) if lines else "No matching memories." diff --git a/packages/livekit-sdk-python/tests/test_memory.py b/packages/livekit-sdk-python/tests/test_memory.py new file mode 100644 index 00000000..41af028d --- /dev/null +++ b/packages/livekit-sdk-python/tests/test_memory.py @@ -0,0 +1,620 @@ +from __future__ import annotations + +import asyncio +import sys +import types +import unittest +from types import SimpleNamespace + +from supermemory_livekit import ConfigurationError, InputParams, SupermemoryLiveKit +from supermemory_livekit import memory as memory_module +from supermemory_livekit.identifiers import to_identifier +from supermemory_livekit.utils import format_tool_results, is_injected_memory, wrap_memory + + +class FakeProfile: + def __init__(self, static=None, dynamic=None, results=None, delay=0): + self.static = static + self.dynamic = dynamic + self.results = results or [] + self.delay = delay + self.calls = [] + + async def __call__(self, **kwargs): + self.calls.append(kwargs) + if self.delay: + await asyncio.sleep(self.delay) + return SimpleNamespace( + profile=None + if self.static is None and self.dynamic is None + else SimpleNamespace(static=self.static or [], dynamic=self.dynamic or []), + search_results=SimpleNamespace(results=self.results), + ) + + +class FakeSearch: + def __init__(self): + self.calls = [] + + async def memories(self, **kwargs): + self.calls.append(kwargs) + return SimpleNamespace( + results=[ + SimpleNamespace(id="mem_1", memory="Likes short answers"), + SimpleNamespace(id="chunk_1", chunk="raw transcript", memory=None), + ] + ) + + +class FakeMemories: + def __init__(self): + self.calls = [] + + async def forget(self, **kwargs): + self.calls.append(kwargs) + + +class FakeClient: + def __init__(self, profile=None): + self.profile = profile or FakeProfile(static=[], dynamic=[]) + self.search = FakeSearch() + self.memories = FakeMemories() + self.added = [] + + async def add(self, **kwargs): + self.added.append(kwargs) + return SimpleNamespace(id="doc_1") + + +class ChatCtx: + def __init__(self): + self.items = [] + + def add_message(self, *, role, content, created_at=None): + item = SimpleNamespace( + id=f"item_{len(self.items)}", + role=role, + content=content, + text_content=content, + created_at=created_at, + ) + self.items.append(item) + return item + + def remove(self, item_id): + self.items = [item for item in self.items if item.id != item_id] + + +class Session: + def __init__(self): + self.handlers = {} + + def on(self, event, callback): + self.handlers.setdefault(event, []).append(callback) + + def off(self, event, callback): + self.handlers[event] = [cb for cb in self.handlers.get(event, []) if cb is not callback] + + def emit(self, event, payload): + for callback in list(self.handlers.get(event, [])): + callback(payload) + + +def memory(client, **kwargs): + return SupermemoryLiveKit(api_key="sm_test", client=client, **kwargs) + + +class MemoryTests(unittest.TestCase): + def test_missing_api_key(self): + with self.assertRaises(ConfigurationError): + SupermemoryLiveKit(api_key="", client=None) + + def test_empty_container_tag(self): + with self.assertRaises(ConfigurationError): + memory(FakeClient(), container_tag=" ") + + def test_empty_profile_does_not_inject(self): + client = FakeClient(FakeProfile(static=[], dynamic=[])) + plugin = memory(client, container_tag="user_1") + ctx = ChatCtx() + + added = asyncio.run(plugin.on_user_turn_completed(ctx, SimpleNamespace(text_content="hi", created_at=10))) + + self.assertIsNone(added) + self.assertEqual(ctx.items, []) + self.assertEqual(client.profile.calls[0]["q"], "hi") + + def test_null_profile_is_empty(self): + client = FakeClient(FakeProfile()) + plugin = memory(client, container_tag="user_1") + ctx = ChatCtx() + + asyncio.run(plugin.preload(ctx)) + + self.assertEqual(ctx.items, []) + + def test_recall_inserts_before_user_timestamp_and_replaces_previous(self): + client = FakeClient( + FakeProfile( + static=["Name is Ada"], + dynamic=["Working on voice agents"], + results=[SimpleNamespace(memory="Prefers concise replies", updatedAt="2026-09-20T00:00:00Z")], + ) + ) + plugin = memory(client, container_tag="user_1") + ctx = ChatCtx() + ctx.add_message(role="assistant", content=wrap_memory("stale"), created_at=1) + user = SimpleNamespace(text_content="what do you remember?", created_at=20.0) + + asyncio.run(plugin.on_user_turn_completed(ctx, user)) + + self.assertEqual(len(ctx.items), 1) + injected = ctx.items[0] + self.assertEqual(injected.role, "assistant") + self.assertAlmostEqual(injected.created_at, 19.999) + self.assertIn("Name is Ada", injected.content) + self.assertIn("Prefers concise replies", injected.content) + self.assertNotIn("stale", injected.content) + self.assertTrue(is_injected_memory(injected.content)) + self.assertEqual(client.profile.calls[0]["q"], "what do you remember?") + self.assertEqual(client.profile.calls[0]["container_tag"], "user_1") + + def test_query_mode_skips_profile_sections(self): + client = FakeClient( + FakeProfile(static=["Name is Ada"], results=[SimpleNamespace(memory="Lives in Lisbon")]) + ) + plugin = memory( + client, + container_tag="user_1", + params=InputParams(mode="query"), + ) + ctx = ChatCtx() + + asyncio.run(plugin.on_user_turn_completed(ctx, SimpleNamespace(text_content="where?", created_at=2))) + + self.assertIn("Lives in Lisbon", ctx.items[0].content) + self.assertNotIn("Name is Ada", ctx.items[0].content) + + def test_enrich_injects_when_the_user_message_is_already_present(self): + client = FakeClient(FakeProfile(static=["The secret word is kelp"])) + plugin = memory(client, container_tag="user_1") + ctx = ChatCtx() + ctx.add_message(role="user", content="what is the secret word?", created_at=8.0) + + asyncio.run(plugin.enrich(ctx)) + + self.assertEqual(len(ctx.items), 2) + self.assertIn("kelp", ctx.items[1].content) + self.assertAlmostEqual(ctx.items[1].created_at, 7.999) + asyncio.run(plugin.enrich(ctx)) + self.assertEqual(len(client.profile.calls), 1) + self.assertEqual(len(ctx.items), 2) + + def test_enrich_replaces_preloaded_profile_each_turn(self): + client = FakeClient( + FakeProfile(static=["Name is Ada"], results=[SimpleNamespace(memory="Owns a dog named Biscuit")]) + ) + plugin = memory(client, container_tag="user_1") + ctx = ChatCtx() + + asyncio.run(plugin.preload(ctx)) + ctx.add_message(role="user", content="what is my dog called?", created_at=30.0) + asyncio.run(plugin.enrich(ctx)) + + injected = [item for item in ctx.items if is_injected_memory(item.content)] + self.assertEqual(len(injected), 1) + self.assertIn("Biscuit", injected[0].content) + self.assertEqual(client.profile.calls[-1]["q"], "what is my dog called?") + + def test_one_recall_per_user_message(self): + client = FakeClient(FakeProfile(static=[], dynamic=[], delay=0.05)) + plugin = memory(client, container_tag="user_1") + + async def run(): + first, second = ChatCtx(), ChatCtx() + for ctx in (first, second): + ctx.add_message(role="user", content="hi, first time calling", created_at=5.0) + # A cancelled attempt must not cancel the recall a follow-up of the same turn reuses. + preemptive = asyncio.ensure_future(plugin.enrich(first)) + await asyncio.sleep(0.01) + preemptive.cancel() + await plugin.enrich(second) + await plugin.enrich(second) + + asyncio.run(run()) + + self.assertEqual(len(client.profile.calls), 1) + + def test_same_words_in_a_later_turn_recall_again(self): + client = FakeClient(FakeProfile(static=["Name is Ada"])) + plugin = memory(client, container_tag="user_1") + ctx = ChatCtx() + + ctx.add_message(role="user", content="what's my name?", created_at=1.0) + asyncio.run(plugin.enrich(ctx)) + ctx.add_message(role="user", content="what's my name?", created_at=2.0) + asyncio.run(plugin.enrich(ctx)) + + self.assertEqual(len(client.profile.calls), 2) + + def test_failed_recall_never_shows_another_callers_memory(self): + class ScopedProfile: + def __init__(self): + self.calls = [] + + async def __call__(self, **kwargs): + self.calls.append(kwargs) + if kwargs["container_tag"] == "bob": + raise RuntimeError("down") + return SimpleNamespace( + profile=SimpleNamespace(static=["Alice's door code is 4471"], dynamic=[]), + search_results=SimpleNamespace(results=[]), + ) + + plugin = memory(FakeClient(ScopedProfile()), container_tag="alice") + ctx = ChatCtx() + asyncio.run(plugin.preload(ctx)) + plugin.bind(container_tag="bob") + ctx.add_message(role="user", content="what's my door code?", created_at=50.0) + + asyncio.run(plugin.enrich(ctx)) + + self.assertFalse(any("4471" in item.content for item in ctx.items)) + + def test_slow_recall_falls_back_to_the_callers_call_start_profile(self): + profile = FakeProfile(static=["Name is Ada"]) + plugin = memory(FakeClient(profile), container_tag="user_1", params=InputParams(recall_timeout=0.01)) + ctx = ChatCtx() + asyncio.run(plugin.preload(ctx)) + profile.delay = 0.05 + ctx.add_message(role="user", content="what's my name?", created_at=50.0) + + asyncio.run(plugin.enrich(ctx)) + + injected = [item for item in ctx.items if is_injected_memory(item.content)] + self.assertEqual(len(injected), 1) + self.assertIn("Name is Ada", injected[0].content) + + def test_new_user_message_recalls_again(self): + client = FakeClient(FakeProfile(static=["Name is Ada"])) + plugin = memory(client, container_tag="user_1") + ctx = ChatCtx() + + ctx.add_message(role="user", content="hello", created_at=1.0) + asyncio.run(plugin.enrich(ctx)) + ctx.add_message(role="user", content="what's my name?", created_at=2.0) + asyncio.run(plugin.enrich(ctx)) + + self.assertEqual([call["q"] for call in client.profile.calls], ["hello", "what's my name?"]) + self.assertEqual(sum(is_injected_memory(item.content) for item in ctx.items), 1) + + def test_timeout_and_errors_do_not_fail_the_turn(self): + slow = FakeClient(FakeProfile(static=["Name is Ada"], delay=0.05)) + plugin = memory(slow, container_tag="user_1", params=InputParams(recall_timeout=0.01)) + ctx = ChatCtx() + asyncio.run(plugin.on_user_turn_completed(ctx, SimpleNamespace(text_content="hi", created_at=1))) + self.assertEqual(ctx.items, []) + + class Boom: + async def __call__(self, **kwargs): + raise RuntimeError("down") + + broken = FakeClient() + broken.profile = Boom() + plugin = memory(broken, container_tag="user_1") + asyncio.run(plugin.on_user_turn_completed(ctx, SimpleNamespace(text_content="hi", created_at=1))) + self.assertEqual(ctx.items, []) + + def test_participant_attribute_beats_identity_and_sanitizes(self): + plugin = memory(FakeClient()) + plugin.bind( + participant=SimpleNamespace( + identity="sip:+15551212", + attributes={"supermemory_container_tag": "user_42"}, + ) + ) + self.assertEqual(plugin.container_tag, "user_42") + + plugin.bind(participant=SimpleNamespace(identity="user@example.com", attributes={})) + self.assertNotEqual(plugin.container_tag, "user@example.com") + self.assertEqual(plugin.container_tag, to_identifier("user@example.com")) + self.assertLessEqual(len(plugin.container_tag), 100) + + def test_explicit_tag_beats_participant(self): + plugin = memory(FakeClient()) + plugin.bind( + container_tag="user_9", + participant=SimpleNamespace(identity="other", attributes={}), + ) + self.assertEqual(plugin.container_tag, "user_9") + + def test_capture_groups_new_turns_and_skips_injection(self): + client = FakeClient() + plugin = memory(client, container_tag="user_1", session_id="room 1") + session = Session() + plugin.attach(session) + + session.emit( + "conversation_item_added", + SimpleNamespace(item=SimpleNamespace(id="u1", role="user", text_content="I like tea")), + ) + session.emit( + "conversation_item_added", + SimpleNamespace( + item=SimpleNamespace(id="a0", role="assistant", text_content=wrap_memory("secret")) + ), + ) + session.emit( + "conversation_item_added", + SimpleNamespace(item=SimpleNamespace(id="a1", role="assistant", text_content="Noted.")), + ) + session.emit( + "conversation_item_added", + SimpleNamespace(item=SimpleNamespace(id="a1", role="assistant", text_content="Noted.")), + ) + asyncio.run(plugin.aclose()) + + self.assertEqual(len(client.added), 1) + stored = client.added[0] + self.assertEqual(stored["content"], "User: I like tea\nAssistant: Noted.") + self.assertEqual(stored["container_tag"], "user_1") + self.assertEqual(stored["custom_id"], to_identifier("room 1")) + self.assertNotIn("secret", stored["content"]) + self.assertEqual(stored["metadata"]["platform"], "livekit") + self.assertEqual(stored["dreaming"], "instant") + + def test_close_flushes_a_trailing_user_turn(self): + client = FakeClient() + plugin = memory(client, container_tag="user_1", session_id="room-2") + session = Session() + + async def scenario(): + plugin.attach(session) + session.emit( + "conversation_item_added", + SimpleNamespace(item=SimpleNamespace(id="u1", role="user", text_content="still here")), + ) + session.emit("close", SimpleNamespace()) + await asyncio.sleep(0) + + asyncio.run(scenario()) + self.assertEqual(client.added[0]["content"], "User: still here") + + def test_capture_never_does_not_store(self): + client = FakeClient() + plugin = memory( + client, + container_tag="user_1", + params=InputParams(capture="never"), + ) + session = Session() + plugin.attach(session) + session.emit( + "conversation_item_added", + SimpleNamespace(item=SimpleNamespace(id="u1", role="user", text_content="hi")), + ) + session.emit( + "conversation_item_added", + SimpleNamespace(item=SimpleNamespace(id="a1", role="assistant", text_content="hello")), + ) + asyncio.run(plugin.aclose()) + self.assertEqual(client.added, []) + + def test_store_failure_is_retried_on_close(self): + client = FakeClient() + calls = {"n": 0} + + async def flaky(**kwargs): + calls["n"] += 1 + if calls["n"] == 1: + raise RuntimeError("blip") + client.added.append(kwargs) + + client.add = flaky + plugin = memory(client, container_tag="user_1", session_id="room-3") + session = Session() + plugin.attach(session) + session.emit( + "conversation_item_added", + SimpleNamespace(item=SimpleNamespace(id="u1", role="user", text_content="hi")), + ) + session.emit( + "conversation_item_added", + SimpleNamespace(item=SimpleNamespace(id="a1", role="assistant", text_content="hello")), + ) + asyncio.run(asyncio.sleep(0)) + asyncio.run(plugin.aclose()) + self.assertEqual(calls["n"], 2) + self.assertIn("User: hi", client.added[0]["content"]) + + def test_tools_search_remember_forget(self): + client = FakeClient() + plugin = memory(client, container_tag="user_1") + + found = asyncio.run(plugin.search("tea")) + saved = asyncio.run(plugin.remember("Likes tea")) + forgotten = asyncio.run(plugin.forget(memory_id="mem_1")) + missing = asyncio.run(plugin.forget()) + + self.assertIn("Likes short answers (id: mem_1)", found) + self.assertIn("raw transcript", found) + self.assertNotIn("chunk_1", found) + self.assertEqual(saved, "Saved.") + self.assertEqual(client.added[0]["metadata"]["kind"], "explicit") + self.assertEqual(client.added[0]["dreaming"], "instant") + self.assertNotIn("custom_id", client.added[0]) + self.assertEqual(forgotten, "Forgotten.") + self.assertEqual(client.memories.calls[0]["id"], "mem_1") + self.assertEqual(client.memories.calls[0]["container_tag"], "user_1") + self.assertIn("memory id", missing) + + def test_remember_falls_back_when_instant_is_not_available(self): + class NoBalance(Exception): + status_code = 402 + + client = FakeClient() + original = client.add + + async def add(**kwargs): + if kwargs.get("dreaming") == "instant": + raise NoBalance("insufficient_balance") + return await original(**kwargs) + + client.add = add + plugin = memory(client, container_tag="user_1") + + self.assertEqual(asyncio.run(plugin.remember("Likes tea")), "Saved.") + self.assertEqual(len(client.added), 1) + self.assertNotIn("dreaming", client.added[0]) + + def test_capture_falls_back_once_when_instant_is_not_available(self): + class NoBalance(Exception): + status_code = 402 + + client = FakeClient() + original = client.add + attempts = [] + + async def add(**kwargs): + attempts.append(kwargs.get("dreaming")) + if kwargs.get("dreaming") == "instant": + raise NoBalance("insufficient_balance") + return await original(**kwargs) + + client.add = add + plugin = memory(client, container_tag="user_1", session_id="room-5") + session = Session() + plugin.attach(session) + + async def run(): + for index, role in enumerate(["user", "assistant", "user", "assistant"]): + item = SimpleNamespace(id=f"m{index}", role=role, text_content=f"turn {index}") + session.emit("conversation_item_added", SimpleNamespace(item=item)) + await asyncio.sleep(0) + if plugin._flush_task: + await plugin._flush_task + await plugin.aclose() + + asyncio.run(run()) + + self.assertEqual(attempts, ["instant", None, None]) + self.assertEqual(len(client.added), 2) + + def test_rebind_keeps_captured_turns_in_the_callers_scope(self): + client = FakeClient() + plugin = memory(client, session_id="room-1") + session = Session() + plugin.attach(session) + + def say(item_id, role, text): + item = SimpleNamespace(id=item_id, role=role, text_content=text) + session.emit("conversation_item_added", SimpleNamespace(item=item)) + + say("u0", "user", "hello before we know who you are") + plugin.bind(container_tag="alice") + say("u1", "user", "Alice secret: door code 4471") + plugin.bind(container_tag="bob") + say("u2", "user", "Bob here") + asyncio.run(plugin.aclose()) + + stored = {call["container_tag"]: call["content"] for call in client.added} + self.assertEqual(set(stored), {"alice", "bob"}) + self.assertIn("4471", stored["alice"]) + self.assertIn("hello before we know who you are", stored["alice"]) + self.assertNotIn("4471", stored["bob"]) + + def test_hung_store_times_out_and_keeps_the_turns(self): + client = FakeClient() + + async def hang(**kwargs): + await asyncio.sleep(60) + + client.add = hang + plugin = memory(client, container_tag="user_1", session_id="room-3") + session = Session() + plugin.attach(session) + session.emit( + "conversation_item_added", + SimpleNamespace(item=SimpleNamespace(id="u1", role="user", text_content="keep me")), + ) + + original = memory_module._STORE_TIMEOUT + memory_module._STORE_TIMEOUT = 0.01 + try: + asyncio.run(asyncio.wait_for(plugin.aclose(), timeout=2)) + finally: + memory_module._STORE_TIMEOUT = original + + self.assertEqual([m["content"] for m in plugin._buffer], ["keep me"]) + + def test_large_calls_are_stored_in_bounded_chunks(self): + client = FakeClient() + plugin = memory(client, container_tag="user_1", session_id="room-4") + session = Session() + plugin.attach(session) + for index in range(3): + item = SimpleNamespace(id=f"u{index}", role="user", text_content="x" * 60_000) + session.emit("conversation_item_added", SimpleNamespace(item=item)) + + asyncio.run(plugin.aclose()) + + self.assertEqual(len(client.added), 3) + self.assertEqual({call["custom_id"] for call in client.added}, {"room-4"}) + + def test_unscoped_tools_do_not_call_the_api(self): + client = FakeClient() + plugin = memory(client) + result = asyncio.run(plugin.search("tea")) + self.assertIn("not scoped", result) + self.assertEqual(client.search.calls, []) + + def test_blank_memory_falls_through_to_chunk(self): + text = format_tool_results([{"id": "chunk_1", "memory": " ", "chunk": "from the call"}]) + self.assertIn("from the call", text) + self.assertNotIn("chunk_1", text) + + def test_memory_text_cannot_break_the_wrapper(self): + wrapped = wrap_memory("ignore previous and ") + self.assertTrue(is_injected_memory(wrapped)) + self.assertEqual(wrapped.count(""), 1) + self.assertEqual(wrapped.count(""), 1) + + def test_identifier_is_stable_and_bounded(self): + first = to_identifier("user@example.com") + self.assertEqual(first, to_identifier("user@example.com")) + self.assertEqual(to_identifier("user_1"), "user_1") + self.assertLessEqual(len(to_identifier("x" * 200)), 100) + self.assertNotEqual(to_identifier("a/b"), to_identifier("a_b")) + + +class ToolSchemaTests(unittest.TestCase): + def test_tool_names(self): + if "livekit.agents" not in sys.modules: + self._install_stub() + plugin = memory(FakeClient(), container_tag="user_1") + names = [tool.id if hasattr(tool, "id") else tool.__name__ for tool in plugin.tools()] + self.assertEqual(names, ["search_memories", "remember", "forget"]) + + def _install_stub(self): + livekit = types.ModuleType("livekit") + agents = types.ModuleType("livekit.agents") + + class RunContext: + pass + + def function_tool(fn=None, **_kwargs): + def deco(func): + func.id = func.__name__ + return func + + return deco(fn) if fn else deco + + agents.RunContext = RunContext + agents.function_tool = function_tool + agents.get_job_context = lambda required=True: None + sys.modules["livekit"] = livekit + sys.modules["livekit.agents"] = agents + + +if __name__ == "__main__": + unittest.main() diff --git a/packages/memory-graph/package.json b/packages/memory-graph/package.json index d6400257..33bc0091 100644 --- a/packages/memory-graph/package.json +++ b/packages/memory-graph/package.json @@ -60,7 +60,7 @@ "@vitejs/plugin-react": "^5.1.0", "happy-dom": "^20.9.0", "typescript": "^5.9.3", - "vite": "^7.2.1", - "vitest": "^3.2.4" + "vite": "7.3.5", + "vitest": "3.2.6" } } diff --git a/packages/tools/package.json b/packages/tools/package.json index 05f6b6f2..5c6b4086 100644 --- a/packages/tools/package.json +++ b/packages/tools/package.json @@ -30,7 +30,7 @@ "dotenv": "^16.6.1", "tsdown": "^0.14.2", "typescript": "^5.9.2", - "vitest": "^3.2.4" + "vitest": "3.2.6" }, "peerDependencies": { "@ai-sdk/provider": "^2.0.0 || ^3.0.0",