> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-cbiden-1784320915-d424d53.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Add identity to Managed Deep Agents

> Give each caller their own threads, memory, and credentials so agents stay private and multi-user safe.

Agents are not anonymous chat boxes. As soon as more than one person (or one company) uses a deployment, you need a reliable answer to: **whose conversation is this, and whose data may the agent see or act on?**

Identity is how Managed Deep Agents answers that before every run. You declare a small contract once. The runtime then partitions threads, [memory](/langsmith/managed-deep-agents-memory), and credentials so callers cannot bleed into each other.

Identity is opt-in. Projects without `identity.ts` or `identity.py` compile and deploy unchanged. When you add a declaration, `mda` wires auth, scoping, and a frozen `runtime.identity` object into tools and middleware.

<Note>
  Managed Deep Agents is in **private [beta](/langsmith/release-stages)**, available on [LangSmith Cloud](/langsmith/cloud) in the US region only. [Join the waitlist](https://www.langchain.com/langsmith-managed-deep-agents-waitlist) to request access.
</Note>

## Why identity matters for agents

Without identity, a Managed Deep Agent has one shared boundary for the whole deployment. That is fine for a personal prototype. It breaks as soon as real users show up:

| What goes wrong       | Example                                                                                                                                                      |
| --------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| **Shared memory**     | Alice asks the agent to remember her API preferences. Bob opens a new chat and the agent already "knows" Alice's details.                                    |
| **Shared threads**    | Anyone who can hit the deployment can resume or inspect another user's conversation.                                                                         |
| **Wrong credentials** | The agent calls GitHub or another API with one shared token, so every user acts as the same account, or you have no safe way to act *as* the signed-in user. |

Deep Agents make this sharper than a simple chatbot: they keep durable memory, resume long-running threads, and call tools on the user's behalf. Identity turns "who is calling?" into hard isolation instead of hoping the prompt or the UI keeps people apart.

## Three ideas to know first

You only need three ideas before you write any config:

| Idea                  | Plain meaning                                                     | Example                                                                          |
| --------------------- | ----------------------------------------------------------------- | -------------------------------------------------------------------------------- |
| **Actor**             | The person or service this run is for                             | `user_123`, a GitHub login, a guest id                                           |
| **Tenant** (optional) | The customer or org boundary when one deployment serves many orgs | `acme`, a Slack workspace                                                        |
| **Ingress**           | How the runtime learns who is calling for this request            | Your backend sends identity headers, or the browser sends a verified login token |

A few important clarifications:

* **Actor** is not the agent. It is the caller the run represents.
* **Tenant** is not a LangSmith workspace. Single-tenant agents have no tenant.
* **Fail closed** means a missing required actor or tenant rejects the request. The runtime never falls back to "everyone's" memory or threads.

From actor (and optional tenant), Managed Deep Agents derives three outcomes:

* **Threads**: who can open or resume a conversation
* **Memory**: which durable [Context Hub](/langsmith/managed-deep-agents-memory) slice the run can see
* **Credentials**: whose token downstream tool calls use (the signed-in user, or one shared agent token)

```mermaid theme={null}
flowchart LR
    Caller["Caller"] --> Ingress["Ingress authenticates request"]
    Ingress --> Resolve["Resolve actor and tenant"]
    Resolve --> Scope["Scope threads and memory"]
    Scope --> Run["Run agent with runtime.identity"]

    classDef process fill:#E5F4FF,stroke:#006DDD,stroke-width:2px,color:#030710;
    classDef trigger fill:#F6FFDB,stroke:#6E8900,stroke-width:2px,color:#2E3900;
    classDef output fill:#EBD0F0,stroke:#885270,stroke-width:2px,color:#441E33;
    class Caller trigger;
    class Ingress,Resolve,Scope process;
    class Run output;
```

## Choose a preset

Presets encode the common product shapes so you do not invent scoping rules on day one. Start here, then override only what differs.

Before you read the table, these scope values mean:

| Value              | Meaning                                                    |
| ------------------ | ---------------------------------------------------------- |
| `actor`            | Private to the signed-in person (or service actor)         |
| `tenant`           | Shared inside one customer org, isolated from other orgs   |
| `channel`          | Shared by everyone in the same channel (for example Slack) |
| `agent`            | Shared by the whole deployment                             |
| *(unset)* / `none` | Not used for that axis                                     |

**Credentials** is the product difference many teams care about first:

* **`actor`**: downstream calls can act as the signed-in user (for example call GitHub as Alice).
* **`agent`**: downstream calls use one shared bot or service token for everyone.

| Preset              | Use it when…                                                                       | Threads   | Memory   | Credentials |
| ------------------- | ---------------------------------------------------------------------------------- | --------- | -------- | ----------- |
| `private-assistant` | Each person gets a private 1:1 assistant with their own history and memory         | `actor`   | `actor`  | `actor`     |
| `multi-tenant-saas` | One deployment serves many customer orgs; users share org data but not across orgs | `actor`   | `tenant` | `agent`     |
| `shared-bot`        | A Slack/Discord-style bot where everyone in the channel shares the thread          | `channel` | `actor`  | `agent`     |
| `internal-tool`     | An internal company agent: one org, private per-user threads                       | `actor`   | `actor`  | `agent`     |
| `service`           | Cron/webhook-only agents with no human caller and shared memory                    | *(unset)* | `agent`  | `agent`     |

All presets default to `trusted_backend` ingress and `tenancy: "single"`, except `multi-tenant-saas`, which sets `tenancy: "multi"`.

<Tip>
  **How to choose quickly:** One human per conversation who must not see anyone else's data → `private-assistant`. SaaS with customer orgs → `multi-tenant-saas`. Shared channel bot → `shared-bot`. Internal company tool → `internal-tool`. Timer or webhook with no user → `service`.
</Tip>

## Add an identity declaration

Create `identity.py` or `identity.ts` next to your agent entry and export a named `identity`. Most projects start from a one-line preset:

<CodeGroup>
  ```python identity.py theme={null}
  from managed_deepagents import define_identity

  identity = define_identity.preset("private-assistant")
  ```

  ```ts identity.ts theme={null}
  import { defineIdentity } from "managed-deepagents";

  export const identity = defineIdentity.preset("private-assistant");
  ```
</CodeGroup>

That expands to this full contract:

<CodeGroup>
  ```python identity.py theme={null}
  from managed_deepagents import define_identity

  identity = define_identity(
      ingress={"http": "trusted_backend"},
      tenancy="single",
      scoping={
          "threads": "actor",
          "memory": "actor",
          "credentials": "actor",
      },
  )
  ```

  ```ts identity.ts theme={null}
  import { defineIdentity } from "managed-deepagents";

  export const identity = defineIdentity({
    ingress: { http: "trusted_backend" },
    tenancy: "single",
    scoping: {
      threads: "actor",
      memory: "actor",
      credentials: "actor",
    },
  });
  ```
</CodeGroup>

Use the full form when you want every field visible, or when you are assembling a config that does not match a preset. You can also start from a preset and override only the fields that differ.

For the full project layout, see the [CLI project file reference](/langsmith/managed-deep-agents-cli#project-file-reference).

When identity is present, `mda` generates the custom auth handler, injects it into the compiled LangGraph app, and only then enables reserved identity headers and token verification.

## Ingress: how Managed Deep Agents learns who is calling

Ingress is only the *how*: how the runtime learns the actor (and tenant) for this request. Pick one HTTP mode.

### Trusted backend (recommended default)

Your own API authenticates the user (session, OAuth, or similar), then proxies LangGraph requests with a shared ingress secret and reserved identity headers. The browser never sends the secret or raw identity-provider (IdP) tokens to Managed Deep Agents.

This is the default for presets and the usual path when you already have a backend in front of the agent.

Required headers (case-insensitive):

| Header                 | Required                | Purpose                                 |
| ---------------------- | ----------------------- | --------------------------------------- |
| `X-MDA-Ingress-Secret` | Yes                     | Shared secret from `MDA_INGRESS_SECRET` |
| `X-MDA-Actor-Id`       | Yes                     | Actor id for this run                   |
| `X-MDA-Tenant-Id`      | When `tenancy: "multi"` | Tenant id for this run                  |

Use a preset that defaults to trusted-backend ingress:

<CodeGroup>
  ```python identity.py theme={null}
  from managed_deepagents import define_identity

  identity = define_identity.preset("internal-tool")
  ```

  ```ts identity.ts theme={null}
  import { defineIdentity } from "managed-deepagents";

  export const identity = defineIdentity.preset("internal-tool");
  ```
</CodeGroup>

Put `MDA_INGRESS_SECRET` in `.env` for `mda dev` and as a hosted deployment secret for `mda deploy`. Your production backend should authenticate the user, then attach the headers above when proxying agent traffic.

Example shape for a backend proxy (pseudocode):

```ts theme={null}
// After your app authenticates the user
await fetch(`${deploymentUrl}/threads/${threadId}/runs`, {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "X-MDA-Ingress-Secret": process.env.MDA_INGRESS_SECRET!,
    "X-MDA-Actor-Id": authenticatedUser.id,
    // "X-MDA-Tenant-Id": org.id, // only when tenancy is "multi"
  },
  body: JSON.stringify(runBody),
});
```

<Warning>
  Never commit ingress secrets or IdP credentials. Do not send `MDA_INGRESS_SECRET` from the browser—only from a trusted backend proxy.
</Warning>

### Validated token (browser-direct)

Use this when the browser talks to the deployment directly and you do not want a proxy that asserts actor headers.

The client sends `Authorization: Bearer <token>`. Managed Deep Agents verifies the token server-side and maps claims (fields inside the token, such as user id) into `runtime.identity`.

Verification can use:

* **JWKS**: public keys your IdP publishes so the runtime can verify signed JWTs
* **OIDC discovery**: standard metadata that points the runtime at those keys
* **Opaque introspection**: call the IdP to ask whether a non-JWT token is still valid
* **Guest tokens**: short-lived tokens signed by Managed Deep Agents for anonymous visitors

Override a preset to enable validated-token ingress. The example below combines Supabase sign-in with optional guest access:

<CodeGroup>
  ```python identity.py theme={null}
  from managed_deepagents import define_identity, providers

  identity = define_identity.preset(
      "internal-tool",
      {
          "ingress": {
              "http": {
                  "mode": "validated_token",
                  "providers": [
                      providers.supabase(project_ref="your-project-ref"),
                      providers.guest(ttl="24h", actor_prefix="guest:"),
                  ],
              }
          }
      },
  )
  ```

  ```ts identity.ts theme={null}
  import { defineIdentity, providers } from "managed-deepagents";

  export const identity = defineIdentity.preset("internal-tool", {
    ingress: {
      http: {
        mode: "validated_token",
        providers: [
          providers.supabase({ projectRef: "your-project-ref" }),
          providers.guest({ ttl: "24h", actorPrefix: "guest:" }),
        ],
      },
    },
  });
  ```
</CodeGroup>

In `validated_token` mode, your frontend signs the user in with the same IdP you configured, reads an access token (or ID token where applicable), and passes it to the LangGraph client as `Authorization: Bearer <token>`. Do not send refresh tokens or client secrets to the deployment.

When more than one provider is configured, each entry needs an `id`. Managed Deep Agents routes JWT providers by token `iss` (issuer) and fails closed when the issuer is unknown.

For provider-specific options and client examples, see [Provider setup guides](#provider-setup-guides).

## Secrets checklist

| Secret                  | How Managed Deep Agents uses it                                                                                                           |
| ----------------------- | ----------------------------------------------------------------------------------------------------------------------------------------- |
| `MDA_INGRESS_SECRET`    | Shared secret your backend sends in `X-MDA-Ingress-Secret`. The runtime checks it before trusting `X-MDA-Actor-Id` and `X-MDA-Tenant-Id`. |
| `MDA_GUEST_SIGNING_KEY` | Key used to sign guest tokens at `POST /identity/guest` and to verify them on later requests.                                             |

Put local values in `.env`. `mda deploy` forwards non-reserved `.env` values as hosted deployment secrets. Provider-specific secrets (for example Supabase introspection) are listed in [Provider setup guides](#provider-setup-guides).

<Warning>
  Never commit ingress secrets, guest signing keys, or IdP credentials. Do not send `MDA_INGRESS_SECRET` from the browser—only from a trusted backend proxy.
</Warning>

## Use `runtime.identity` in tools and middleware

When identity is declared, authored tools and middleware receive a frozen `runtime.identity` object built from the trusted auth result. Client-supplied spoofable identity keys are stripped from `configurable`.

The identity object looks like this:

```ts theme={null}
runtime.identity = {
  actor: { type: "user" | "service", id: string, email?: string },
  tenant?: { id: string },
  source: {
    provider: "http" | "slack" | "schedule" | "cli" | "studio",
    threadId?: string,
  },
  claims?: Record<string, unknown>, // populated for validated_token ingress
};
```

Annotate the injected `runtime` parameter as `ManagedDeepAgentRuntime` so you get typed access to `identity` (and optional `credentials`). Use it whenever a tool or middleware hook needs to know *who* triggered the run, for personalization, audit logs, or branching on verified claims, without trusting anything from the request body.

<CodeGroup>
  ```python tools/whoami.py theme={null}
  from langchain.tools import tool
  from managed_deepagents import ManagedDeepAgentRuntime


  @tool
  def whoami(runtime: ManagedDeepAgentRuntime) -> str:
      """Return the authenticated actor id for this run."""
      identity = runtime.identity
      if not identity:
          return "No authenticated caller on this run."
      return f"Signed in as {identity['actor']['id']}"
  ```

  ```ts tools/whoami.ts theme={null}
  import { z } from "zod";
  import { tool } from "langchain";
  import type { ManagedDeepAgentRuntime } from "managed-deepagents";

  export const whoami = tool(
    async (_input, runtime: ManagedDeepAgentRuntime) => {
      const identity = runtime.identity;
      if (!identity) {
        return "No authenticated caller on this run.";
      }
      return `Signed in as ${identity.actor.id}`;
    },
    {
      name: "whoami",
      description: "Return the authenticated actor id for this run.",
      schema: z.object({}),
    },
  );
  ```
</CodeGroup>

The same type works in middleware hooks:

<CodeGroup>
  ```python middleware/audit.py theme={null}
  from langchain.agents.middleware import AgentState, before_model
  from managed_deepagents import ManagedDeepAgentRuntime


  def audit_middleware():
      @before_model
      def audit(state: AgentState, runtime: ManagedDeepAgentRuntime) -> dict | None:
          user = runtime.identity["actor"]["id"] if runtime.identity else "anonymous"
          print(f"[audit] {user} model call with {len(state['messages'])} messages")
          return None

      return audit
  ```

  ```ts middleware/audit.ts theme={null}
  import { createMiddleware } from "langchain";
  import type { ManagedDeepAgentRuntime } from "managed-deepagents";

  export function auditMiddleware() {
    return createMiddleware({
      name: "audit",
      beforeModel: (state, runtime: ManagedDeepAgentRuntime) => {
        const user = runtime.identity?.actor.id ?? "anonymous";
        console.log(
          `[audit] ${user} model call with ${state.messages.length} messages`
        );
        return undefined;
      },
    });
  }
  ```
</CodeGroup>

Prefer `runtime.identity` over client-supplied configurable keys for actor or tenant ids. For other per-run values such as feature flags, use normal LangChain runtime context.

## Customize scoping

Presets cover the common cases. To customize, set `scoping` explicitly:

| Axis          | Values                             | Meaning                                                 |
| ------------- | ---------------------------------- | ------------------------------------------------------- |
| `threads`     | `actor`, `channel`, `tenant`       | Who can open or resume the conversation                 |
| `memory`      | `actor`, `tenant`, `agent`, `none` | Which Context Hub memory slice is remounted for the run |
| `credentials` | `agent`, `actor`, `none`, `custom` | Whose credentials downstream calls use                  |

If `tenancy` is `"single"`, do not set any scoping axis to `"tenant"`, there is no tenant to scope by. If a request is missing the actor or tenant id that scoping needs, Managed Deep Agents rejects it with 403 instead of falling back to shared data.

For how memory paths remount under each scope, see [Scope memory with identity](/langsmith/managed-deep-agents-memory#scope-memory-with-identity).

### Custom downstream credentials

Use `scoping.credentials: "custom"` when your application can securely obtain a per-actor credential for a downstream target. Provide a `resolve` function; tools then call `runtime.credentials.for(target)` to obtain the headers for that request. Resolved credentials are kept in memory and are never written to thread state or traces.

<Note>
  The token that proves a caller's identity is not automatically a credential for downstream APIs. For example, a Supabase access token lets Managed Deep Agents identify the caller, but it is not a GitHub API token. Your backend or credential service must hold (and, when needed, refresh) the caller's separately authorized GitHub credential.
</Note>

The following shape lets a user sign in through Supabase and open GitHub pull requests as themselves. After the user has separately authorized GitHub, your application stores the GitHub grant keyed by the Supabase user id. `getGitHubAccessToken` is application code: it looks up and refreshes that grant in your server-side credential store.

```ts identity.ts theme={null}
import { defineIdentity, providers } from "managed-deepagents";
import { getGitHubAccessToken } from "./github-credentials.js";

export const identity = defineIdentity({
  ingress: {
    http: {
      mode: "validated_token",
      providers: [providers.supabase({ projectRef: "your-project-ref" })],
    },
  },
  tenancy: "single",
  scoping: {
    threads: "actor",
    memory: "actor",
    credentials: "custom",
  },
  credentials: {
    async resolve({ identity, target }) {
      if (target.name !== "github") {
        throw new Error(`No credentials configured for ${target.name}.`);
      }

      const credential = await getGitHubAccessToken(identity.actor.id);
      if (!credential) {
        throw new Error("Connect GitHub before using GitHub tools.");
      }

      return {
        headers: { Authorization: `Bearer ${credential.token}` },
        expiresAt: credential.expiresAt.toISOString(),
      };
    },
  },
});
```

In a GitHub tool, request the headers with `await runtime.credentials.for({ kind: "connection", name: "github", intent: "write" })` and pass them to your GitHub client.

To expose LangSmith capabilities to browsers or other untrusted callers, add a [LangSmith connector](/langsmith/managed-deep-agents-connectors/langsmith). It requires identity so capability routes can resolve the caller and prove ownership before calling LangSmith server-side.

## Provider setup guides

These guides cover the built-in providers for [validated token](#validated-token-browser-direct) ingress. Use one provider, or combine them as in the example in that section.

<Tabs>
  <Tab title="Guest tokens">
    Anonymous visitors get a short-lived, actor-scoped session without signing in. Managed Deep Agents signs guest tokens with `MDA_GUEST_SIGNING_KEY` (HS256) and maps `sub` → actor.

    | Option                         | Required | Description                                             |
    | ------------------------------ | -------- | ------------------------------------------------------- |
    | `ttl`                          | No       | Token lifetime (for example `"24h"`)                    |
    | `actorPrefix` / `actor_prefix` | No       | Prefix for generated actor ids (for example `"guest:"`) |

    Guest is usually combined with another IdP, as in the [validated token example](#validated-token-browser-direct).

    Set `MDA_GUEST_SIGNING_KEY` in `.env` for `mda dev` and as a hosted deployment secret for `mda deploy`.

    #### Claim a guest token

    With guest issuance enabled, the deployment exposes `POST /identity/guest`. Send an empty `POST` with `Content-Type: application/json`. If the deployment requires a public app key (`LANGGRAPH_AUTH_SECRET`), also send `X-Auth-Key`.

    ```bash theme={null}
    curl -X POST "$LANGGRAPH_API_URL/identity/guest" \
      -H "Content-Type: application/json"
    ```

    On success:

    ```json theme={null}
    {
      "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..."
    }
    ```

    #### Use the guest token

    Send the token the same way you send IdP access tokens:

    ```http theme={null}
    Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...
    ```

    <CodeGroup>
      ```typescript theme={null}
      import { Client } from "@langchain/langgraph-sdk";

      const response = await fetch(`${deploymentUrl}/identity/guest`, {
        method: "POST",
        headers: { "Content-Type": "application/json" },
      });
      const { token } = (await response.json()) as { token: string };

      const client = new Client({
        apiUrl: deploymentUrl,
        defaultHeaders: { Authorization: `Bearer ${token}` },
      });
      ```

      ```python theme={null}
      import httpx
      from langgraph_sdk import get_client

      response = httpx.post(f"{deployment_url}/identity/guest")
      response.raise_for_status()
      token = response.json()["token"]

      client = get_client(
          url=deployment_url,
          headers={"Authorization": f"Bearer {token}"},
      )
      ```
    </CodeGroup>

    <Tip>
      For browser apps, proxy guest issuance through your own backend and store the token in an `httpOnly` cookie. That keeps the same guest actor across reloads until `exp` and lets you handle rate limits before calling the deployment.
    </Tip>

    Reclaim a token when the current one is expired or missing. While a token is still valid, reuse it so the guest keeps the same actor id, threads, and memory scope for the token lifetime.
  </Tab>

  <Tab title="Supabase">
    JWKS by default (asymmetric JWTs). Maps `sub` → actor. Pass only one of `projectRef` or `url`.

    | Option                       | Required                     | Description                                                |
    | ---------------------------- | ---------------------------- | ---------------------------------------------------------- |
    | `projectRef` / `project_ref` | One of `projectRef` or `url` | Subdomain before `.supabase.co`                            |
    | `url`                        | One of `projectRef` or `url` | Project URL or custom auth domain                          |
    | `introspect`                 | No                           | `true` for legacy HS256 projects that need `/auth/v1/user` |

    Use `providers.supabase(...)` alone, or combine it with guest as in the [validated token example](#validated-token-browser-direct).

    After sign-in, send `session.access_token` from [@supabase/supabase-js](https://supabase.com/docs/reference/javascript/auth-getsession). See also [Supabase Auth](https://supabase.com/docs/guides/auth) and [JWT signing keys](https://supabase.com/docs/guides/auth/signing-keys).

    For legacy introspection, use `introspect: true` and set `SUPABASE_ANON_KEY` on the deployment.
  </Tab>

  <Tab title="GitHub">
    Opaque token introspection via `GET https://api.github.com/user`. Maps `login` → actor, `email` → email. `providers.github()` takes no options.

    <CodeGroup>
      ```python identity.py theme={null}
      from managed_deepagents import define_identity, providers

      identity = define_identity.preset(
          "internal-tool",
          {
              "ingress": {
                  "http": {
                      "mode": "validated_token",
                      "providers": [providers.github()],
                  }
              }
          },
      )
      ```

      ```ts identity.ts theme={null}
      import { defineIdentity, providers } from "managed-deepagents";

      export const identity = defineIdentity.preset("internal-tool", {
        ingress: {
          http: {
            mode: "validated_token",
            providers: [providers.github()],
          },
        },
      });
      ```
    </CodeGroup>

    Complete a [GitHub OAuth App](https://docs.github.com/en/apps/oauth-apps/building-oauth-apps) sign-in flow, then send the **user access token**. Do not send OAuth client secrets to the deployment. See also [Authorizing OAuth apps](https://docs.github.com/en/apps/oauth-apps/building-oauth-apps/authorizing-oauth-apps) and [Get the authenticated user](https://docs.github.com/en/rest/users/users#get-the-authenticated-user).

    For production, prefer [trusted backend](#trusted-backend-recommended-default) ingress: keep the GitHub token on your API, and proxy with `X-MDA-Ingress-Secret` + `X-MDA-Actor-Id` (for example the GitHub `login`).
  </Tab>
</Tabs>

## Test and deploy

Test the project locally with [`mda dev`](/langsmith/managed-deep-agents-cli#develop-locally), then deploy it with [`mda deploy`](/langsmith/managed-deep-agents-deploy). Open deployment traces in LangSmith to inspect model calls, tool calls, errors, and latency.

Identity misconfiguration usually surfaces as 401 (auth) or 403 (store/thread scope) during local Studio or the first authenticated request. Confirm the matching secret is present and that trusted-backend proxies attach the reserved headers.

## Next steps

<CardGroup cols={2}>
  <Card title="Memory" icon="database" href="/langsmith/managed-deep-agents-memory">
    See how identity remounts per-actor or per-tenant memory.
  </Card>

  <Card title="Custom tools" icon="tool" href="/langsmith/managed-deep-agents-tools">
    Read `runtime.identity` from authored tools.
  </Card>

  <Card title="Schedules" icon="clock" href="/langsmith/managed-deep-agents-schedules">
    Run cron agents, including the `service` preset shape.
  </Card>

  <Card title="LangSmith connector" icon="chart-line" href="/langsmith/managed-deep-agents-connectors/langsmith">
    Expose constrained LangSmith capabilities to untrusted callers.
  </Card>

  <Card title="How it works" icon="settings" href="/langsmith/managed-deep-agents-how-it-works">
    See how compile and deploy wire auth into the runtime.
  </Card>

  <Card title="CLI reference" icon="terminal" href="/langsmith/managed-deep-agents-cli">
    Look up project files and identity wiring in `mda`.
  </Card>
</CardGroup>

***

<div className="source-links">
  <Callout icon="terminal-2">
    [Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
  </Callout>

  <Callout icon="edit">
    [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/langsmith/managed-deep-agents-identity.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).
  </Callout>
</div>
