fix(backend): Use db_manager for workspace in add_graph_execution

get_or_create_workspace was called directly via UserWorkspace.prisma(),
bypassing the db_manager fallback pattern. When the global Prisma client
isn't connected (e.g. CoPilot/external API context), this raises
ClientNotConnectedError.

Use the same if prisma.is_connected() fallback pattern as all other DB
calls in the function.

Resolves Sentry AUTOGPT-SERVER-83T and related issues.

autogpt_platform/backend/backend/api/features/chat/routes.py

@@ -11,7 +11,7 @@ from autogpt_libs import auth
 from fastapi import APIRouter, Depends, HTTPException, Query, Response, Security
 from fastapi.responses import StreamingResponse
 from prisma.models import UserWorkspaceFile
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, field_validator
 
 from backend.copilot import service as chat_service
 from backend.copilot import stream_registry
@@ -25,6 +25,7 @@ from backend.copilot.model import (
     delete_chat_session,
     get_chat_session,
     get_user_sessions,
+    update_session_title,
 )
 from backend.copilot.response_model import StreamError, StreamFinish, StreamHeartbeat
 from backend.copilot.tools.models import (
@@ -141,6 +142,20 @@ class CancelSessionResponse(BaseModel):
     reason: str | None = None
 
 
+class UpdateSessionTitleRequest(BaseModel):
+    """Request model for updating a session's title."""
+
+    title: str
+
+    @field_validator("title")
+    @classmethod
+    def title_must_not_be_blank(cls, v: str) -> str:
+        stripped = v.strip()
+        if not stripped:
+            raise ValueError("Title must not be blank")
+        return stripped
+
+
 # ========== Routes ==========
 
 
@@ -264,6 +279,43 @@ async def delete_session(
     return Response(status_code=204)
 
 
+@router.patch(
+    "/sessions/{session_id}/title",
+    summary="Update session title",
+    dependencies=[Security(auth.requires_user)],
+    status_code=200,
+    responses={404: {"description": "Session not found or access denied"}},
+)
+async def update_session_title_route(
+    session_id: str,
+    request: UpdateSessionTitleRequest,
+    user_id: Annotated[str, Security(auth.get_user_id)],
+) -> dict:
+    """
+    Update the title of a chat session.
+
+    Allows the user to rename their chat session.
+
+    Args:
+        session_id: The session ID to update.
+        request: Request body containing the new title.
+        user_id: The authenticated user's ID.
+
+    Returns:
+        dict: Status of the update.
+
+    Raises:
+        HTTPException: 404 if session not found or not owned by user.
+    """
+    success = await update_session_title(session_id, user_id, request.title)
+    if not success:
+        raise HTTPException(
+            status_code=404,
+            detail=f"Session {session_id} not found or access denied",
+        )
+    return {"status": "ok"}
+
+
 @router.get(
     "/sessions/{session_id}",
 )

autogpt_platform/backend/backend/api/features/chat/routes_test.py

@@ -1,4 +1,6 @@
-"""Tests for chat route file_ids validation and enrichment."""
+"""Tests for chat API routes: session title update and file attachment validation."""
+
+from unittest.mock import AsyncMock
 
 import fastapi
 import fastapi.testclient
@@ -17,6 +19,7 @@ TEST_USER_ID = "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
 
 @pytest.fixture(autouse=True)
 def setup_app_auth(mock_jwt_user):
+    """Setup auth overrides for all tests in this module"""
     from autogpt_libs.auth.jwt_utils import get_jwt_payload
 
     app.dependency_overrides[get_jwt_payload] = mock_jwt_user["get_jwt_payload"]
@@ -24,7 +27,95 @@ def setup_app_auth(mock_jwt_user):
     app.dependency_overrides.clear()
 
 
-# ---- file_ids Pydantic validation (B1) ----
+def _mock_update_session_title(
+    mocker: pytest_mock.MockerFixture, *, success: bool = True
+):
+    """Mock update_session_title."""
+    return mocker.patch(
+        "backend.api.features.chat.routes.update_session_title",
+        new_callable=AsyncMock,
+        return_value=success,
+    )
+
+
+# ─── Update title: success ─────────────────────────────────────────────
+
+
+def test_update_title_success(
+    mocker: pytest_mock.MockerFixture,
+    test_user_id: str,
+) -> None:
+    mock_update = _mock_update_session_title(mocker, success=True)
+
+    response = client.patch(
+        "/sessions/sess-1/title",
+        json={"title": "My project"},
+    )
+
+    assert response.status_code == 200
+    assert response.json() == {"status": "ok"}
+    mock_update.assert_called_once_with("sess-1", test_user_id, "My project")
+
+
+def test_update_title_trims_whitespace(
+    mocker: pytest_mock.MockerFixture,
+    test_user_id: str,
+) -> None:
+    mock_update = _mock_update_session_title(mocker, success=True)
+
+    response = client.patch(
+        "/sessions/sess-1/title",
+        json={"title": "  trimmed  "},
+    )
+
+    assert response.status_code == 200
+    mock_update.assert_called_once_with("sess-1", test_user_id, "trimmed")
+
+
+# ─── Update title: blank / whitespace-only → 422 ──────────────────────
+
+
+def test_update_title_blank_rejected(
+    test_user_id: str,
+) -> None:
+    """Whitespace-only titles must be rejected before hitting the DB."""
+    response = client.patch(
+        "/sessions/sess-1/title",
+        json={"title": "   "},
+    )
+
+    assert response.status_code == 422
+
+
+def test_update_title_empty_rejected(
+    test_user_id: str,
+) -> None:
+    response = client.patch(
+        "/sessions/sess-1/title",
+        json={"title": ""},
+    )
+
+    assert response.status_code == 422
+
+
+# ─── Update title: session not found or wrong user → 404 ──────────────
+
+
+def test_update_title_not_found(
+    mocker: pytest_mock.MockerFixture,
+    test_user_id: str,
+) -> None:
+    _mock_update_session_title(mocker, success=False)
+
+    response = client.patch(
+        "/sessions/sess-1/title",
+        json={"title": "New name"},
+    )
+
+    assert response.status_code == 404
+
+
+# ─── file_ids Pydantic validation ─────────────────────────────────────
 
 
 def test_stream_chat_rejects_too_many_file_ids():
@@ -92,7 +183,7 @@ def test_stream_chat_accepts_20_file_ids(mocker: pytest_mock.MockFixture):
     assert response.status_code == 200
 
 
-# ---- UUID format filtering ----
+# ─── UUID format filtering ─────────────────────────────────────────────
 
 
 def test_file_ids_filters_invalid_uuids(mocker: pytest_mock.MockFixture):
@@ -131,7 +222,7 @@ def test_file_ids_filters_invalid_uuids(mocker: pytest_mock.MockFixture):
     assert call_kwargs["where"]["id"]["in"] == [valid_id]
 
 
-# ---- Cross-workspace file_ids ----
+# ─── Cross-workspace file_ids ─────────────────────────────────────────
 
 
 def test_file_ids_scoped_to_workspace(mocker: pytest_mock.MockFixture):

autogpt_platform/backend/backend/blocks/llm.py

@@ -116,6 +116,7 @@ class LlmModel(str, Enum, metaclass=LlmModelMeta):
     CLAUDE_4_5_SONNET = "claude-sonnet-4-5-20250929"
     CLAUDE_4_5_HAIKU = "claude-haiku-4-5-20251001"
     CLAUDE_4_6_OPUS = "claude-opus-4-6"
+    CLAUDE_4_6_SONNET = "claude-sonnet-4-6"
     CLAUDE_3_HAIKU = "claude-3-haiku-20240307"
     # AI/ML API models
     AIML_API_QWEN2_5_72B = "Qwen/Qwen2.5-72B-Instruct-Turbo"
@@ -274,6 +275,9 @@ MODEL_METADATA = {
     LlmModel.CLAUDE_4_6_OPUS: ModelMetadata(
         "anthropic", 200000, 128000, "Claude Opus 4.6", "Anthropic", "Anthropic", 3
     ),  # claude-opus-4-6
+    LlmModel.CLAUDE_4_6_SONNET: ModelMetadata(
+        "anthropic", 200000, 64000, "Claude Sonnet 4.6", "Anthropic", "Anthropic", 3
+    ),  # claude-sonnet-4-6
     LlmModel.CLAUDE_4_5_OPUS: ModelMetadata(
         "anthropic", 200000, 64000, "Claude Opus 4.5", "Anthropic", "Anthropic", 3
     ),  # claude-opus-4-5-20251101

autogpt_platform/backend/backend/blocks/stagehand/blocks.py

@@ -83,7 +83,8 @@ class StagehandRecommendedLlmModel(str, Enum):
     GPT41_MINI = "gpt-4.1-mini-2025-04-14"
 
     # Anthropic
-    CLAUDE_4_5_SONNET = "claude-sonnet-4-5-20250929"
+    CLAUDE_4_5_SONNET = "claude-sonnet-4-5-20250929"  # Keep for backwards compat
+    CLAUDE_4_6_SONNET = "claude-sonnet-4-6"
 
     @property
     def provider_name(self) -> str:
@@ -137,7 +138,7 @@ class StagehandObserveBlock(Block):
         model: StagehandRecommendedLlmModel = SchemaField(
             title="LLM Model",
             description="LLM to use for Stagehand (provider is inferred)",
-            default=StagehandRecommendedLlmModel.CLAUDE_4_5_SONNET,
+            default=StagehandRecommendedLlmModel.CLAUDE_4_6_SONNET,
             advanced=False,
         )
         model_credentials: AICredentials = AICredentialsField()
@@ -227,7 +228,7 @@ class StagehandActBlock(Block):
         model: StagehandRecommendedLlmModel = SchemaField(
             title="LLM Model",
             description="LLM to use for Stagehand (provider is inferred)",
-            default=StagehandRecommendedLlmModel.CLAUDE_4_5_SONNET,
+            default=StagehandRecommendedLlmModel.CLAUDE_4_6_SONNET,
             advanced=False,
         )
         model_credentials: AICredentials = AICredentialsField()
@@ -324,7 +325,7 @@ class StagehandExtractBlock(Block):
         model: StagehandRecommendedLlmModel = SchemaField(
             title="LLM Model",
             description="LLM to use for Stagehand (provider is inferred)",
-            default=StagehandRecommendedLlmModel.CLAUDE_4_5_SONNET,
+            default=StagehandRecommendedLlmModel.CLAUDE_4_6_SONNET,
             advanced=False,
         )
         model_credentials: AICredentials = AICredentialsField()

autogpt_platform/backend/backend/copilot/baseline/service.py

@@ -62,8 +62,8 @@ async def _update_title_async(
     """Generate and persist a session title in the background."""
     try:
         title = await _generate_session_title(message, user_id, session_id)
-        if title:
-            await update_session_title(session_id, title)
+        if title and user_id:
+            await update_session_title(session_id, user_id, title, only_if_empty=True)
     except Exception as e:
         logger.warning("[Baseline] Failed to update session title: %s", e)
 

autogpt_platform/backend/backend/copilot/db.py

@@ -81,6 +81,35 @@ async def update_chat_session(
     return ChatSession.from_db(session) if session else None
 
 
+async def update_chat_session_title(
+    session_id: str,
+    user_id: str,
+    title: str,
+    *,
+    only_if_empty: bool = False,
+) -> bool:
+    """Update the title of a chat session, scoped to the owning user.
+
+    Always filters by (session_id, user_id) so callers cannot mutate another
+    user's session even when they know the session_id.
+
+    Args:
+        only_if_empty: When True, uses an atomic ``UPDATE WHERE title IS NULL``
+            guard so auto-generated titles never overwrite a user-set title.
+
+    Returns True if a row was updated, False otherwise (session not found,
+    wrong user, or — when only_if_empty — title was already set).
+    """
+    where: ChatSessionWhereInput = {"id": session_id, "userId": user_id}
+    if only_if_empty:
+        where["title"] = None
+    result = await PrismaChatSession.prisma().update_many(
+        where=where,
+        data={"title": title, "updatedAt": datetime.now(UTC)},
+    )
+    return result > 0
+
+
 async def add_chat_message(
     session_id: str,
     role: str,

autogpt_platform/backend/backend/copilot/model.py

@@ -469,8 +469,16 @@ async def upsert_chat_session(
             )
             db_error = e
 
-        # Save to cache (best-effort, even if DB failed)
+        # Save to cache (best-effort, even if DB failed).
+        # Title updates (update_session_title) run *outside* this lock because
+        # they only touch the title field, not messages.  So a concurrent rename
+        # or auto-title may have written a newer title to Redis while this
+        # upsert was in progress.  Always prefer the cached title to avoid
+        # overwriting it with the stale in-memory copy.
         try:
+            existing_cached = await _get_session_from_cache(session.session_id)
+            if existing_cached and existing_cached.title:
+                session = session.model_copy(update={"title": existing_cached.title})
             await cache_chat_session(session)
         except Exception as e:
             # If DB succeeded but cache failed, raise cache error
@@ -685,30 +693,48 @@ async def delete_chat_session(session_id: str, user_id: str | None = None) -> bo
     return True
 
 
-async def update_session_title(session_id: str, title: str) -> bool:
-    """Update only the title of a chat session.
+async def update_session_title(
+    session_id: str,
+    user_id: str,
+    title: str,
+    *,
+    only_if_empty: bool = False,
+) -> bool:
+    """Update the title of a chat session, scoped to the owning user.
 
-    This is a lightweight operation that doesn't touch messages, avoiding
-    race conditions with concurrent message updates. Use this for background
-    title generation instead of upsert_chat_session.
+    Lightweight operation that doesn't touch messages, avoiding race conditions
+    with concurrent message updates.
 
     Args:
         session_id: The session ID to update.
+        user_id: Owning user — the DB query filters on this.
         title: The new title to set.
+        only_if_empty: When True, uses an atomic ``UPDATE WHERE title IS NULL``
+            so auto-generated titles never overwrite a user-set title.
 
     Returns:
-        True if updated successfully, False otherwise.
+        True if updated successfully, False otherwise (not found, wrong user,
+        or — when only_if_empty — title was already set).
     """
     try:
-        result = await chat_db().update_chat_session(session_id=session_id, title=title)
-        if result is None:
-            logger.warning(f"Session {session_id} not found for title update")
+        updated = await chat_db().update_chat_session_title(
+            session_id, user_id, title, only_if_empty=only_if_empty
+        )
+        if not updated:
             return False
 
-        # Invalidate the cache so the next access reloads from DB with the
-        # updated title. This avoids a read-modify-write on the full session
-        # blob, which could overwrite concurrent message updates.
-        await invalidate_session_cache(session_id)
+        # Update title in cache if it exists (instead of invalidating).
+        # This prevents race conditions where cache invalidation causes
+        # the frontend to see stale DB data while streaming is still in progress.
+        try:
+            cached = await _get_session_from_cache(session_id)
+            if cached:
+                cached.title = title
+                await cache_chat_session(cached)
+        except Exception as e:
+            logger.warning(
+                f"Cache title update failed for session {session_id} (non-critical): {e}"
+            )
 
         return True
     except Exception as e:

autogpt_platform/backend/backend/copilot/sdk/service.py

@@ -1600,8 +1600,8 @@ async def _update_title_async(
         title = await _generate_session_title(
             message, user_id=user_id, session_id=session_id
         )
-        if title:
-            await update_session_title(session_id, title)
+        if title and user_id:
+            await update_session_title(session_id, user_id, title, only_if_empty=True)
             logger.debug(f"[SDK] Generated title for {session_id}: {title}")
     except Exception as e:
         logger.warning(f"[SDK] Failed to update session title: {e}")

autogpt_platform/backend/backend/data/block_cost_config.py

@@ -81,6 +81,7 @@ MODEL_COST: dict[LlmModel, int] = {
     LlmModel.CLAUDE_4_OPUS: 21,
     LlmModel.CLAUDE_4_SONNET: 5,
     LlmModel.CLAUDE_4_6_OPUS: 14,
+    LlmModel.CLAUDE_4_6_SONNET: 9,
     LlmModel.CLAUDE_4_5_HAIKU: 4,
     LlmModel.CLAUDE_4_5_OPUS: 14,
     LlmModel.CLAUDE_4_5_SONNET: 9,

autogpt_platform/backend/backend/data/db_manager.py

@@ -305,6 +305,7 @@ class DatabaseManager(AppService):
     delete_chat_session = _(chat_db.delete_chat_session)
     get_next_sequence = _(chat_db.get_next_sequence)
     update_tool_message_content = _(chat_db.update_tool_message_content)
+    update_chat_session_title = _(chat_db.update_chat_session_title)
 
 
 class DatabaseManagerClient(AppServiceClient):
@@ -475,3 +476,4 @@ class DatabaseManagerAsyncClient(AppServiceClient):
     delete_chat_session = d.delete_chat_session
     get_next_sequence = d.get_next_sequence
     update_tool_message_content = d.update_tool_message_content
+    update_chat_session_title = d.update_chat_session_title

autogpt_platform/backend/backend/data/integrations.py

@@ -184,17 +184,17 @@ async def find_webhook_by_credentials_and_props(
     credentials_id: str,
     webhook_type: str,
     resource: str,
-    events: Optional[list[str]],
+    events: list[str] | None = None,
 ) -> Webhook | None:
-    webhook = await IntegrationWebhook.prisma().find_first(
-        where={
-            "userId": user_id,
-            "credentialsId": credentials_id,
-            "webhookType": webhook_type,
-            "resource": resource,
-            **({"events": {"has_every": events}} if events else {}),
-        },
-    )
+    where: IntegrationWebhookWhereInput = {
+        "userId": user_id,
+        "credentialsId": credentials_id,
+        "webhookType": webhook_type,
+        "resource": resource,
+    }
+    if events is not None:
+        where["events"] = {"has_every": events}
+    webhook = await IntegrationWebhook.prisma().find_first(where=where)
     return Webhook.from_db(webhook) if webhook else None
 
 

autogpt_platform/backend/backend/executor/utils.py

@@ -15,6 +15,7 @@ from backend.data import graph as graph_db
 from backend.data import human_review as human_review_db
 from backend.data import onboarding as onboarding_db
 from backend.data import user as user_db
+from backend.data import workspace as workspace_db
 
 # Import dynamic field utilities from centralized location
 from backend.data.block import BlockInput, BlockOutputEntry
@@ -32,7 +33,6 @@ from backend.data.execution import (
 from backend.data.graph import GraphModel, Node
 from backend.data.model import USER_TIMEZONE_NOT_SET, CredentialsMetaInput, GraphInput
 from backend.data.rabbitmq import Exchange, ExchangeType, Queue, RabbitMQConfig
-from backend.data.workspace import get_or_create_workspace
 from backend.util.clients import (
     get_async_execution_event_bus,
     get_async_execution_queue,
@@ -294,9 +294,9 @@ async def _validate_node_input_credentials(
                     if field_is_optional:
                         continue  # Don't add error, will be marked for skip after loop
                     else:
-                        credential_errors[node.id][
-                            field_name
-                        ] = "These credentials are required"
+                        credential_errors[node.id][field_name] = (
+                            "These credentials are required"
+                        )
                         continue
 
                 credentials_meta = credentials_meta_type.model_validate(field_value)
@@ -315,15 +315,15 @@ async def _validate_node_input_credentials(
             except Exception as e:
                 # Handle any errors fetching credentials
                 # If credentials were explicitly configured but unavailable, it's an error
-                credential_errors[node.id][
-                    field_name
-                ] = f"Credentials not available: {e}"
+                credential_errors[node.id][field_name] = (
+                    f"Credentials not available: {e}"
+                )
                 continue
 
             if not credentials:
-                credential_errors[node.id][
-                    field_name
-                ] = f"Unknown credentials #{credentials_meta.id}"
+                credential_errors[node.id][field_name] = (
+                    f"Unknown credentials #{credentials_meta.id}"
+                )
                 continue
 
             if (
@@ -336,9 +336,9 @@ async def _validate_node_input_credentials(
                     f"{credentials_meta.type}<>{credentials.type};"
                     f"{credentials_meta.provider}<>{credentials.provider}"
                 )
-                credential_errors[node.id][
-                    field_name
-                ] = "Invalid credentials: type/provider mismatch"
+                credential_errors[node.id][field_name] = (
+                    "Invalid credentials: type/provider mismatch"
+                )
                 continue
 
         # If node has optional credentials and any are missing, allow running without.
@@ -349,8 +349,7 @@ async def _validate_node_input_credentials(
             and node.id not in credential_errors
         ):
             logger.info(
-                f"Node #{node.id}: optional credentials not configured, "
-                "running without"
+                f"Node #{node.id}: optional credentials not configured, running without"
             )
 
     return credential_errors, nodes_to_skip
@@ -412,9 +411,10 @@ async def validate_graph_with_credentials(
     )
 
     # Get credential input/availability/validation errors and nodes to skip
-    node_credential_input_errors, nodes_to_skip = (
-        await _validate_node_input_credentials(graph, user_id, nodes_input_masks)
-    )
+    (
+        node_credential_input_errors,
+        nodes_to_skip,
+    ) = await _validate_node_input_credentials(graph, user_id, nodes_input_masks)
 
     # Merge credential errors with structural errors
     for node_id, field_errors in node_credential_input_errors.items():
@@ -562,13 +562,14 @@ async def validate_and_construct_node_execution_input(
         nodes_input_masks or {},
     )
 
-    starting_nodes_input, nodes_to_skip = (
-        await _construct_starting_node_execution_input(
-            graph=graph,
-            user_id=user_id,
-            graph_inputs=graph_inputs,
-            nodes_input_masks=nodes_input_masks,
-        )
+    (
+        starting_nodes_input,
+        nodes_to_skip,
+    ) = await _construct_starting_node_execution_input(
+        graph=graph,
+        user_id=user_id,
+        graph_inputs=graph_inputs,
+        nodes_input_masks=nodes_input_masks,
     )
 
     return graph, starting_nodes_input, nodes_input_masks, nodes_to_skip
@@ -632,8 +633,7 @@ def create_execution_queue_config() -> RabbitMQConfig:
             # Solution: Disable consumer timeout entirely - let graphs run indefinitely
             # Safety: Heartbeat mechanism now handles dead consumer detection instead
             # Use case: Graph executions that take hours to complete (AI model training, etc.)
-            "x-consumer-timeout": GRACEFUL_SHUTDOWN_TIMEOUT_SECONDS
-            * 1000,
+            "x-consumer-timeout": GRACEFUL_SHUTDOWN_TIMEOUT_SECONDS * 1000,
         },
     )
     cancel_queue = Queue(
@@ -831,8 +831,9 @@ async def add_graph_execution(
         udb = user_db
         gdb = graph_db
         odb = onboarding_db
+        wdb = workspace_db
     else:
-        edb = udb = gdb = odb = get_database_manager_async_client()
+        edb = udb = gdb = odb = wdb = get_database_manager_async_client()
 
     # Get or create the graph execution
     if graph_exec_id:
@@ -859,16 +860,19 @@ async def add_graph_execution(
         )
 
         # Create new execution
-        graph, starting_nodes_input, compiled_nodes_input_masks, nodes_to_skip = (
-            await validate_and_construct_node_execution_input(
-                graph_id=graph_id,
-                user_id=user_id,
-                graph_inputs=inputs or {},
-                graph_version=graph_version,
-                graph_credentials_inputs=graph_credentials_inputs,
-                nodes_input_masks=nodes_input_masks,
-                is_sub_graph=parent_exec_id is not None,
-            )
+        (
+            graph,
+            starting_nodes_input,
+            compiled_nodes_input_masks,
+            nodes_to_skip,
+        ) = await validate_and_construct_node_execution_input(
+            graph_id=graph_id,
+            user_id=user_id,
+            graph_inputs=inputs or {},
+            graph_version=graph_version,
+            graph_credentials_inputs=graph_credentials_inputs,
+            nodes_input_masks=nodes_input_masks,
+            is_sub_graph=parent_exec_id is not None,
         )
 
         graph_exec = await edb.create_graph_execution(
@@ -892,7 +896,7 @@ async def add_graph_execution(
     if execution_context is None:
         user = await udb.get_user_by_id(user_id)
         settings = await gdb.get_graph_settings(user_id=user_id, graph_id=graph_id)
-        workspace = await get_or_create_workspace(user_id)
+        workspace = await wdb.get_or_create_workspace(user_id)
 
         execution_context = ExecutionContext(
             # Execution identity

autogpt_platform/backend/backend/executor/utils_test.py

@@ -371,7 +371,7 @@ async def test_add_graph_execution_is_repeatable(mocker: MockerFixture):
     mock_workspace = mocker.MagicMock()
     mock_workspace.id = "test-workspace-id"
     mocker.patch(
-        "backend.executor.utils.get_or_create_workspace",
+        "backend.executor.utils.workspace_db.get_or_create_workspace",
         new=mocker.AsyncMock(return_value=mock_workspace),
     )
 
@@ -652,7 +652,7 @@ async def test_add_graph_execution_with_nodes_to_skip(mocker: MockerFixture):
     mock_workspace = mocker.MagicMock()
     mock_workspace.id = "test-workspace-id"
     mocker.patch(
-        "backend.executor.utils.get_or_create_workspace",
+        "backend.executor.utils.workspace_db.get_or_create_workspace",
         new=mocker.AsyncMock(return_value=mock_workspace),
     )
 

autogpt_platform/backend/backend/integrations/webhooks/telegram.py

@@ -76,7 +76,6 @@ class TelegramWebhooksManager(BaseWebhooksManager):
             credentials_id=credentials.id,
             webhook_type=webhook_type,
             resource=resource,
-            events=None,  # Ignore events for this lookup
         ):
             # Re-register with Telegram using the same URL but new allowed_updates
             ingress_url = webhook_ingress_url(self.PROVIDER_NAME, existing.id)
@@ -143,10 +142,6 @@ class TelegramWebhooksManager(BaseWebhooksManager):
             elif "video" in message:
                 event_type = "message.video"
             else:
-                logger.warning(
-                    "Unknown Telegram webhook payload type; "
-                    f"message.keys() = {message.keys()}"
-                )
                 event_type = "message.other"
         elif "edited_message" in payload:
             event_type = "message.edited_message"

autogpt_platform/frontend/src/app/(platform)/copilot/components/ChatSidebar/ChatSidebar.tsx

@@ -3,6 +3,7 @@ import {
   getGetV2ListSessionsQueryKey,
   useDeleteV2DeleteSession,
   useGetV2ListSessions,
+  usePatchV2UpdateSessionTitle,
 } from "@/app/api/__generated__/endpoints/chat/chat";
 import { Button } from "@/components/atoms/Button/Button";
 import { LoadingSpinner } from "@/components/atoms/LoadingSpinner/LoadingSpinner";
@@ -17,7 +18,6 @@ import { toast } from "@/components/molecules/Toast/use-toast";
 import {
   Sidebar,
   SidebarContent,
-  SidebarFooter,
   SidebarHeader,
   SidebarTrigger,
   useSidebar,
@@ -25,8 +25,9 @@ import {
 import { cn } from "@/lib/utils";
 import { DotsThree, PlusCircleIcon, PlusIcon } from "@phosphor-icons/react";
 import { useQueryClient } from "@tanstack/react-query";
-import { motion } from "framer-motion";
+import { AnimatePresence, motion } from "framer-motion";
 import { parseAsString, useQueryState } from "nuqs";
+import { useEffect, useRef, useState } from "react";
 import { useCopilotUIStore } from "../../store";
 import { DeleteChatDialog } from "../DeleteChatDialog/DeleteChatDialog";
 
@@ -65,6 +66,39 @@ export function ChatSidebar() {
       },
     });
 
+  const [editingSessionId, setEditingSessionId] = useState<string | null>(null);
+  const [editingTitle, setEditingTitle] = useState("");
+  const renameInputRef = useRef<HTMLInputElement>(null);
+  const renameCancelledRef = useRef(false);
+
+  const { mutate: renameSession } = usePatchV2UpdateSessionTitle({
+    mutation: {
+      onSuccess: () => {
+        queryClient.invalidateQueries({
+          queryKey: getGetV2ListSessionsQueryKey(),
+        });
+        setEditingSessionId(null);
+      },
+      onError: (error) => {
+        toast({
+          title: "Failed to rename chat",
+          description:
+            error instanceof Error ? error.message : "An error occurred",
+          variant: "destructive",
+        });
+        setEditingSessionId(null);
+      },
+    },
+  });
+
+  // Auto-focus the rename input when editing starts
+  useEffect(() => {
+    if (editingSessionId && renameInputRef.current) {
+      renameInputRef.current.focus();
+      renameInputRef.current.select();
+    }
+  }, [editingSessionId]);
+
   const sessions =
     sessionsResponse?.status === 200 ? sessionsResponse.data.sessions : [];
 
@@ -76,6 +110,26 @@ export function ChatSidebar() {
     setSessionId(id);
   }
 
+  function handleRenameClick(
+    e: React.MouseEvent,
+    id: string,
+    title: string | null | undefined,
+  ) {
+    e.stopPropagation();
+    renameCancelledRef.current = false;
+    setEditingSessionId(id);
+    setEditingTitle(title || "");
+  }
+
+  function handleRenameSubmit(id: string) {
+    const trimmed = editingTitle.trim();
+    if (trimmed) {
+      renameSession({ sessionId: id, data: { title: trimmed } });
+    } else {
+      setEditingSessionId(null);
+    }
+  }
+
   function handleDeleteClick(
     e: React.MouseEvent,
     id: string,
@@ -160,29 +214,42 @@ export function ChatSidebar() {
             </motion.div>
           </SidebarHeader>
         )}
+        {!isCollapsed && (
+          <SidebarHeader className="shrink-0 px-4 pb-4 pt-4 shadow-[0_4px_6px_-1px_rgba(0,0,0,0.05)]">
+            <motion.div
+              initial={{ opacity: 0 }}
+              animate={{ opacity: 1 }}
+              transition={{ duration: 0.2, delay: 0.1 }}
+              className="flex flex-col gap-3 px-3"
+            >
+              <div className="flex items-center justify-between">
+                <Text variant="h3" size="body-medium">
+                  Your chats
+                </Text>
+                <div className="relative left-6">
+                  <SidebarTrigger />
+                </div>
+              </div>
+              <Button
+                variant="primary"
+                size="small"
+                onClick={handleNewChat}
+                className="w-full"
+                leftIcon={<PlusIcon className="h-4 w-4" weight="bold" />}
+              >
+                New Chat
+              </Button>
+            </motion.div>
+          </SidebarHeader>
+        )}
+
         <SidebarContent className="gap-4 overflow-y-auto px-4 py-4 [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden">
-          {!isCollapsed && (
-            <motion.div
-              initial={{ opacity: 0 }}
-              animate={{ opacity: 1 }}
-              transition={{ duration: 0.2, delay: 0.1 }}
-              className="flex items-center justify-between px-3"
-            >
-              <Text variant="h3" size="body-medium">
-                Your chats
-              </Text>
-              <div className="relative left-6">
-                <SidebarTrigger />
-              </div>
-            </motion.div>
-          )}
-
           {!isCollapsed && (
             <motion.div
               initial={{ opacity: 0 }}
               animate={{ opacity: 1 }}
               transition={{ duration: 0.2, delay: 0.15 }}
-              className="mt-4 flex flex-col gap-1"
+              className="flex flex-col gap-1"
             >
               {isLoadingSessions ? (
                 <div className="flex min-h-[30rem] items-center justify-center py-4">
@@ -203,76 +270,105 @@ export function ChatSidebar() {
                         : "hover:bg-zinc-50",
                     )}
                   >
-                    <button
-                      onClick={() => handleSelectSession(session.id)}
-                      className="w-full px-3 py-2.5 pr-10 text-left"
-                    >
-                      <div className="flex min-w-0 max-w-full flex-col overflow-hidden">
-                        <div className="min-w-0 max-w-full">
-                          <Text
-                            variant="body"
-                            className={cn(
-                              "truncate font-normal",
-                              session.id === sessionId
-                                ? "text-zinc-600"
-                                : "text-zinc-800",
-                            )}
-                          >
-                            {session.title || `Untitled chat`}
+                    {editingSessionId === session.id ? (
+                      <div className="px-3 py-2.5">
+                        <input
+                          ref={renameInputRef}
+                          type="text"
+                          aria-label="Rename chat"
+                          value={editingTitle}
+                          onChange={(e) => setEditingTitle(e.target.value)}
+                          onKeyDown={(e) => {
+                            if (e.key === "Enter") {
+                              e.currentTarget.blur();
+                            } else if (e.key === "Escape") {
+                              renameCancelledRef.current = true;
+                              setEditingSessionId(null);
+                            }
+                          }}
+                          onBlur={() => {
+                            if (renameCancelledRef.current) {
+                              renameCancelledRef.current = false;
+                              return;
+                            }
+                            handleRenameSubmit(session.id);
+                          }}
+                          className="w-full rounded border border-zinc-300 bg-white px-2 py-1 text-sm text-zinc-800 outline-none focus:border-purple-500 focus:ring-1 focus:ring-purple-500"
+                        />
+                      </div>
+                    ) : (
+                      <button
+                        onClick={() => handleSelectSession(session.id)}
+                        className="w-full px-3 py-2.5 pr-10 text-left"
+                      >
+                        <div className="flex min-w-0 max-w-full flex-col overflow-hidden">
+                          <div className="min-w-0 max-w-full">
+                            <Text
+                              variant="body"
+                              className={cn(
+                                "truncate font-normal",
+                                session.id === sessionId
+                                  ? "text-zinc-600"
+                                  : "text-zinc-800",
+                              )}
+                            >
+                              <AnimatePresence mode="wait" initial={false}>
+                                <motion.span
+                                  key={session.title || "untitled"}
+                                  initial={{ opacity: 0, y: 4 }}
+                                  animate={{ opacity: 1, y: 0 }}
+                                  exit={{ opacity: 0, y: -4 }}
+                                  transition={{ duration: 0.2 }}
+                                  className="block truncate"
+                                >
+                                  {session.title || "Untitled chat"}
+                                </motion.span>
+                              </AnimatePresence>
+                            </Text>
+                          </div>
+                          <Text variant="small" className="text-neutral-400">
+                            {formatDate(session.updated_at)}
                           </Text>
                         </div>
-                        <Text variant="small" className="text-neutral-400">
-                          {formatDate(session.updated_at)}
-                        </Text>
-                      </div>
-                    </button>
-                    <DropdownMenu>
-                      <DropdownMenuTrigger asChild>
-                        <button
-                          onClick={(e) => e.stopPropagation()}
-                          className="absolute right-2 top-1/2 -translate-y-1/2 rounded-full p-1.5 text-zinc-600 transition-all hover:bg-neutral-100"
-                          aria-label="More actions"
-                        >
-                          <DotsThree className="h-4 w-4" />
-                        </button>
-                      </DropdownMenuTrigger>
-                      <DropdownMenuContent align="end">
-                        <DropdownMenuItem
-                          onClick={(e) =>
-                            handleDeleteClick(e, session.id, session.title)
-                          }
-                          disabled={isDeleting}
-                          className="text-red-600 focus:bg-red-50 focus:text-red-600"
-                        >
-                          Delete chat
-                        </DropdownMenuItem>
-                      </DropdownMenuContent>
-                    </DropdownMenu>
+                      </button>
+                    )}
+                    {editingSessionId !== session.id && (
+                      <DropdownMenu>
+                        <DropdownMenuTrigger asChild>
+                          <button
+                            onClick={(e) => e.stopPropagation()}
+                            className="absolute right-2 top-1/2 -translate-y-1/2 rounded-full p-1.5 text-zinc-600 transition-all hover:bg-neutral-100"
+                            aria-label="More actions"
+                          >
+                            <DotsThree className="h-4 w-4" />
+                          </button>
+                        </DropdownMenuTrigger>
+                        <DropdownMenuContent align="end">
+                          <DropdownMenuItem
+                            onClick={(e) =>
+                              handleRenameClick(e, session.id, session.title)
+                            }
+                          >
+                            Rename
+                          </DropdownMenuItem>
+                          <DropdownMenuItem
+                            onClick={(e) =>
+                              handleDeleteClick(e, session.id, session.title)
+                            }
+                            disabled={isDeleting}
+                            className="text-red-600 focus:bg-red-50 focus:text-red-600"
+                          >
+                            Delete chat
+                          </DropdownMenuItem>
+                        </DropdownMenuContent>
+                      </DropdownMenu>
+                    )}
                   </div>
                 ))
               )}
             </motion.div>
           )}
         </SidebarContent>
-        {!isCollapsed && sessionId && (
-          <SidebarFooter className="shrink-0 bg-zinc-50 p-3 pb-1 shadow-[0_-4px_6px_-1px_rgba(0,0,0,0.05)]">
-            <motion.div
-              initial={{ opacity: 0 }}
-              animate={{ opacity: 1 }}
-              transition={{ duration: 0.2, delay: 0.2 }}
-            >
-              <Button
-                variant="primary"
-                size="small"
-                onClick={handleNewChat}
-                className="w-full"
-                leftIcon={<PlusIcon className="h-4 w-4" weight="bold" />}
-              >
-                New Chat
-              </Button>
-            </motion.div>
-          </SidebarFooter>
-        )}
       </Sidebar>
 
       <DeleteChatDialog

autogpt_platform/frontend/src/app/(platform)/copilot/components/DeleteChatDialog/DeleteChatDialog.tsx

@@ -29,7 +29,6 @@ export function DeleteChatDialog({
           }
         },
       }}
-      onClose={isDeleting ? undefined : onCancel}
     >
       <Dialog.Content>
         <Text variant="body">

autogpt_platform/frontend/src/app/(platform)/copilot/components/MobileDrawer/MobileDrawer.tsx

@@ -71,6 +71,17 @@ export function MobileDrawer({
                 <X width="1rem" height="1rem" />
               </Button>
             </div>
+            <div className="mt-2">
+              <Button
+                variant="primary"
+                size="small"
+                onClick={onNewChat}
+                className="w-full"
+                leftIcon={<PlusIcon width="1rem" height="1rem" />}
+              >
+                New Chat
+              </Button>
+            </div>
           </div>
           <div
             className={cn(
@@ -120,19 +131,6 @@ export function MobileDrawer({
               ))
             )}
           </div>
-          {currentSessionId && (
-            <div className="shrink-0 bg-white p-3 shadow-[0_-4px_6px_-1px_rgba(0,0,0,0.05)]">
-              <Button
-                variant="primary"
-                size="small"
-                onClick={onNewChat}
-                className="w-full"
-                leftIcon={<PlusIcon width="1rem" height="1rem" />}
-              >
-                New Chat
-              </Button>
-            </div>
-          )}
         </Drawer.Content>
       </Drawer.Portal>
     </Drawer.Root>

autogpt_platform/frontend/src/app/(platform)/copilot/useCopilotPage.ts

@@ -2,6 +2,7 @@ import {
   getGetV2ListSessionsQueryKey,
   useDeleteV2DeleteSession,
   useGetV2ListSessions,
+  type getV2ListSessionsResponse,
 } from "@/app/api/__generated__/endpoints/chat/chat";
 import { toast } from "@/components/molecules/Toast/use-toast";
 import { useBreakpoint } from "@/lib/hooks/useBreakpoint";
@@ -15,6 +16,9 @@ import { useCopilotUIStore } from "./store";
 import { useChatSession } from "./useChatSession";
 import { useCopilotStream } from "./useCopilotStream";
 
+const TITLE_POLL_INTERVAL_MS = 2_000;
+const TITLE_POLL_MAX_ATTEMPTS = 5;
+
 interface UploadedFile {
   file_id: string;
   name: string;
@@ -258,6 +262,52 @@ export function useCopilotPage() {
   const sessions =
     sessionsResponse?.status === 200 ? sessionsResponse.data.sessions : [];
 
+  // Start title polling when stream ends cleanly — sidebar title animates in
+  const titlePollRef = useRef<ReturnType<typeof setInterval>>();
+  const prevStatusRef = useRef(status);
+
+  useEffect(() => {
+    const prev = prevStatusRef.current;
+    prevStatusRef.current = status;
+
+    const wasActive = prev === "streaming" || prev === "submitted";
+    const isNowReady = status === "ready";
+
+    if (!wasActive || !isNowReady || !sessionId || isReconnecting) return;
+
+    queryClient.invalidateQueries({
+      queryKey: getGetV2ListSessionsQueryKey({ limit: 50 }),
+    });
+    const sid = sessionId;
+    let attempts = 0;
+    clearInterval(titlePollRef.current);
+    titlePollRef.current = setInterval(() => {
+      const data = queryClient.getQueryData<getV2ListSessionsResponse>(
+        getGetV2ListSessionsQueryKey({ limit: 50 }),
+      );
+      const hasTitle =
+        data?.status === 200 &&
+        data.data.sessions.some((s) => s.id === sid && s.title);
+      if (hasTitle || attempts >= TITLE_POLL_MAX_ATTEMPTS) {
+        clearInterval(titlePollRef.current);
+        titlePollRef.current = undefined;
+        return;
+      }
+      attempts += 1;
+      queryClient.invalidateQueries({
+        queryKey: getGetV2ListSessionsQueryKey({ limit: 50 }),
+      });
+    }, TITLE_POLL_INTERVAL_MS);
+  }, [status, sessionId, isReconnecting, queryClient]);
+
+  // Clean up polling on session change or unmount
+  useEffect(() => {
+    return () => {
+      clearInterval(titlePollRef.current);
+      titlePollRef.current = undefined;
+    };
+  }, [sessionId]);
+
   // --- Mobile drawer handlers ---
   function handleOpenDrawer() {
     setDrawerOpen(true);

autogpt_platform/frontend/src/app/api/helpers.ts

@@ -53,6 +53,8 @@ export function getPaginationNextPageNumber(
   if (!hasValidPaginationInfo(lastPage)) return undefined;
 
   const { pagination } = lastPage.data;
+  if (!pagination) return undefined;
+
   const hasMore =
     pagination.current_page * pagination.page_size < pagination.total_items;
   return hasMore ? pagination.current_page + 1 : undefined;

autogpt_platform/frontend/src/app/api/openapi.json

@@ -1305,6 +1305,59 @@
         }
       }
     },
+    "/api/chat/sessions/{session_id}/title": {
+      "patch": {
+        "tags": ["v2", "chat", "chat"],
+        "summary": "Update session title",
+        "description": "Update the title of a chat session.\n\nAllows the user to rename their chat session.\n\nArgs:\n    session_id: The session ID to update.\n    request: Request body containing the new title.\n    user_id: The authenticated user's ID.\n\nReturns:\n    dict: Status of the update.\n\nRaises:\n    HTTPException: 404 if session not found or not owned by user.",
+        "operationId": "patchV2Update session title",
+        "security": [{ "HTTPBearerJWT": [] }],
+        "parameters": [
+          {
+            "name": "session_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Session Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/UpdateSessionTitleRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "object",
+                  "additionalProperties": true,
+                  "title": "Response Patchv2Update Session Title"
+                }
+              }
+            }
+          },
+          "401": {
+            "$ref": "#/components/responses/HTTP401NotAuthenticatedError"
+          },
+          "404": { "description": "Session not found or access denied" },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
     "/api/credits": {
       "get": {
         "tags": ["v1", "credits"],
@@ -13291,6 +13344,13 @@
         "required": ["permissions"],
         "title": "UpdatePermissionsRequest"
       },
+      "UpdateSessionTitleRequest": {
+        "properties": { "title": { "type": "string", "title": "Title" } },
+        "type": "object",
+        "required": ["title"],
+        "title": "UpdateSessionTitleRequest",
+        "description": "Request model for updating a session's title."
+      },
       "UpdateTimezoneRequest": {
         "properties": {
           "timezone": {

autogpt_platform/frontend/src/app/globals.css

@@ -183,7 +183,7 @@ body[data-google-picker-open="true"] [data-dialog-content] {
 
 /* Streamdown external link dialog: "Open link" button */
 [data-streamdown="link-safety-modal"] button:last-of-type {
-  color: black;
+  color: white;
 }
 
 /* CoPilot chat table styling — remove left/right borders, increase padding */

autogpt_platform/frontend/src/components/ai-elements/message.tsx

@@ -7,6 +7,9 @@ import {
   TooltipContent,
   TooltipTrigger,
 } from "@/components/atoms/Tooltip/BaseTooltip";
+import { Button as AtomButton } from "@/components/atoms/Button/Button";
+import { Text } from "@/components/atoms/Text/Text";
+import { Dialog } from "@/components/molecules/Dialog/Dialog";
 import { cn } from "@/lib/utils";
 import { cjk } from "@streamdown/cjk";
 import { code } from "@/lib/streamdown-code-plugin";
@@ -16,6 +19,7 @@ import type { UIMessage } from "ai";
 import { ChevronLeftIcon, ChevronRightIcon } from "lucide-react";
 import type { ComponentProps, HTMLAttributes, ReactElement } from "react";
 import { createContext, memo, useContext, useEffect, useState } from "react";
+import type { LinkSafetyModalProps } from "streamdown";
 import { Streamdown } from "streamdown";
 
 export type MessageProps = HTMLAttributes<HTMLDivElement> & {
@@ -307,6 +311,46 @@ function isSameOriginLink(url: string): boolean {
   }
 }
 
+function ExternalLinkModal({
+  url,
+  isOpen,
+  onClose,
+  onConfirm,
+}: LinkSafetyModalProps) {
+  return (
+    <Dialog
+      title="Open external link"
+      styling={{ maxWidth: "30rem", minWidth: "auto" }}
+      controlled={{
+        isOpen,
+        set: async (open) => {
+          if (!open) onClose();
+        },
+      }}
+    >
+      <Dialog.Content>
+        <Text variant="body">
+          You&apos;re about to visit an external website:
+        </Text>
+        <Text
+          variant="small"
+          className="mt-2 break-all rounded-md bg-neutral-100 p-3 font-mono"
+        >
+          {url}
+        </Text>
+        <Dialog.Footer>
+          <AtomButton variant="secondary" onClick={onClose}>
+            Cancel
+          </AtomButton>
+          <AtomButton variant="primary" onClick={onConfirm}>
+            Open link
+          </AtomButton>
+        </Dialog.Footer>
+      </Dialog.Content>
+    </Dialog>
+  );
+}
+
 export const MessageResponse = memo(
   ({ className, ...props }: MessageResponseProps) => (
     <Streamdown
@@ -318,6 +362,7 @@ export const MessageResponse = memo(
       linkSafety={{
         enabled: true,
         onLinkCheck: isSameOriginLink,
+        renderModal: (modalProps) => <ExternalLinkModal {...modalProps} />,
       }}
       {...props}
     />

docs/integrations/block-integrations/llm.md

@@ -65,7 +65,7 @@ The result routes data to yes_output or no_output, enabling intelligent branchin
 | condition | A plaintext English description of the condition to evaluate | str | Yes |
 | yes_value | (Optional) Value to output if the condition is true. If not provided, input_value will be used. | Yes Value | No |
 | no_value | (Optional) Value to output if the condition is false. If not provided, input_value will be used. | No Value | No |
-| model | The language model to use for evaluating the condition. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for evaluating the condition. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-sonnet-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 
 ### Outputs
 
@@ -103,7 +103,7 @@ The block sends the entire conversation history to the chosen LLM, including sys
 |-------|-------------|------|----------|
 | prompt | The prompt to send to the language model. | str | No |
 | messages | List of messages in the conversation. | List[Any] | Yes |
-| model | The language model to use for the conversation. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for the conversation. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-sonnet-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 | max_tokens | The maximum number of tokens to generate in the chat completion. | int | No |
 | ollama_host | Ollama host for local  models | str | No |
 
@@ -257,7 +257,7 @@ The block formulates a prompt based on the given focus or source data, sends it
 |-------|-------------|------|----------|
 | focus | The focus of the list to generate. | str | No |
 | source_data | The data to generate the list from. | str | No |
-| model | The language model to use for generating the list. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for generating the list. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-sonnet-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 | max_retries | Maximum number of retries for generating a valid list. | int | No |
 | force_json_output | Whether to force the LLM to produce a JSON-only response. This can increase the block's reliability, but may also reduce the quality of the response because it prohibits the LLM from reasoning before providing its JSON response. | bool | No |
 | max_tokens | The maximum number of tokens to generate in the chat completion. | int | No |
@@ -424,7 +424,7 @@ The block sends the input prompt to a chosen LLM, along with any system prompts
 | prompt | The prompt to send to the language model. | str | Yes |
 | expected_format | Expected format of the response. If provided, the response will be validated against this format. The keys should be the expected fields in the response, and the values should be the description of the field. | Dict[str, str] | Yes |
 | list_result | Whether the response should be a list of objects in the expected format. | bool | No |
-| model | The language model to use for answering the prompt. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for answering the prompt. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-sonnet-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 | force_json_output | Whether to force the LLM to produce a JSON-only response. This can increase the block's reliability, but may also reduce the quality of the response because it prohibits the LLM from reasoning before providing its JSON response. | bool | No |
 | sys_prompt | The system prompt to provide additional context to the model. | str | No |
 | conversation_history | The conversation history to provide context for the prompt. | List[Dict[str, Any]] | No |
@@ -464,7 +464,7 @@ The block sends the input prompt to a chosen LLM, processes the response, and re
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | prompt | The prompt to send to the language model. You can use any of the {keys} from Prompt Values to fill in the prompt with values from the prompt values dictionary by putting them in curly braces. | str | Yes |
-| model | The language model to use for answering the prompt. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for answering the prompt. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-sonnet-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 | sys_prompt | The system prompt to provide additional context to the model. | str | No |
 | retry | Number of times to retry the LLM call if the response does not match the expected format. | int | No |
 | prompt_values | Values used to fill in the prompt. The values can be used in the prompt by putting them in a double curly braces, e.g. {{variable_name}}. | Dict[str, str] | No |
@@ -501,7 +501,7 @@ The block splits the input text into smaller chunks, sends each chunk to an LLM
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | text | The text to summarize. | str | Yes |
-| model | The language model to use for summarizing the text. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for summarizing the text. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-sonnet-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 | focus | The topic to focus on in the summary | str | No |
 | style | The style of the summary to generate. | "concise" \| "detailed" \| "bullet points" \| "numbered list" | No |
 | max_tokens | The maximum number of tokens to generate in the chat completion. | int | No |
@@ -763,7 +763,7 @@ Configure agent_mode_max_iterations to control loop behavior: 0 for single decis
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | prompt | The prompt to send to the language model. | str | Yes |
-| model | The language model to use for answering the prompt. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for answering the prompt. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-opus-4-6" \| "claude-sonnet-4-6" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 | multiple_tool_calls | Whether to allow multiple tool calls in a single response. | bool | No |
 | sys_prompt | The system prompt to provide additional context to the model. | str | No |
 | conversation_history | The conversation history to provide context for the prompt. | List[Dict[str, Any]] | No |

docs/integrations/block-integrations/stagehand/blocks.md

@@ -20,7 +20,7 @@ Configure timeouts for DOM settlement and page loading. Variables can be passed
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | browserbase_project_id | Browserbase project ID (required if using Browserbase) | str | Yes |
-| model | LLM to use for Stagehand (provider is inferred) | "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "claude-sonnet-4-5-20250929" | No |
+| model | LLM to use for Stagehand (provider is inferred) | "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "claude-sonnet-4-5-20250929" \| "claude-sonnet-4-6" | No |
 | url | URL to navigate to. | str | Yes |
 | action | Action to perform. Suggested actions are: click, fill, type, press, scroll, select from dropdown. For multi-step actions, add an entry for each step. | List[str] | Yes |
 | variables | Variables to use in the action. Variables contains data you want the action to use. | Dict[str, str] | No |
@@ -65,7 +65,7 @@ Supports searching within iframes and configurable timeouts for dynamic content
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | browserbase_project_id | Browserbase project ID (required if using Browserbase) | str | Yes |
-| model | LLM to use for Stagehand (provider is inferred) | "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "claude-sonnet-4-5-20250929" | No |
+| model | LLM to use for Stagehand (provider is inferred) | "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "claude-sonnet-4-5-20250929" \| "claude-sonnet-4-6" | No |
 | url | URL to navigate to. | str | Yes |
 | instruction | Natural language description of elements or actions to discover. | str | Yes |
 | iframes | Whether to search within iframes. If True, Stagehand will search for actions within iframes. | bool | No |
@@ -106,7 +106,7 @@ Use this to explore a page's interactive elements before building automated work
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | browserbase_project_id | Browserbase project ID (required if using Browserbase) | str | Yes |
-| model | LLM to use for Stagehand (provider is inferred) | "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "claude-sonnet-4-5-20250929" | No |
+| model | LLM to use for Stagehand (provider is inferred) | "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "claude-sonnet-4-5-20250929" \| "claude-sonnet-4-6" | No |
 | url | URL to navigate to. | str | Yes |
 | instruction | Natural language description of elements or actions to discover. | str | Yes |
 | iframes | Whether to search within iframes. If True, Stagehand will search for actions within iframes. | bool | No |