fix(backend/copilot): prevent double upload in timeout handling

Previous fix created NEW task after timeout, causing double upload:
- Original shielded task still running
- New task also uploading same transcript

Correct fix: Create task FIRST, then shield it. If timeout occurs,
track the SAME task (no double upload).

Fixes double-upload bug in b8c65e3d2

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/prompt_constants.py

@@ -1,29 +0,0 @@
-"""Prompt constants for CoPilot - workflow guidance and supplementary documentation.
-
-This module contains workflow patterns and guidance that supplement the main system prompt.
-These are appended dynamically to the prompt along with auto-generated tool documentation.
-"""
-
-# Workflow guidance for key tool patterns
-# This is appended after the auto-generated tool list to provide usage patterns
-KEY_WORKFLOWS = """
-
-## KEY WORKFLOWS
-
-### MCP Integration Workflow
-When using `run_mcp_tool`:
-1. **Known servers** (use directly): Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/mcp), Stripe (https://mcp.stripe.com), Intercom (https://mcp.intercom.com/mcp), Cloudflare (https://mcp.cloudflare.com/mcp), Atlassian (https://mcp.atlassian.com/mcp)
-2. **Unknown servers**: Use `web_search("{{service}} MCP server URL")` to find the endpoint
-3. **Discovery**: Call `run_mcp_tool(server_url)` to see available tools
-4. **Execution**: Call `run_mcp_tool(server_url, tool_name, tool_arguments)`
-5. **Authentication**: If credentials needed, user will be prompted. When they confirm, retry immediately with same arguments.
-
-### Agent Creation Workflow
-When using `create_agent`:
-1. Always check `find_library_agent` first for existing solutions
-2. Call `create_agent` with description
-3. **If `suggested_goal` returned**: Present to user, ask for confirmation, call again with suggested goal if accepted
-4. **If `clarifying_questions` returned**: After user answers, call again with original description AND answers in `context` parameter
-
-### Folder Management
-Use folder tools (`create_folder`, `list_folders`, `move_agents_to_folder`) to organize agents in the user's library for better discoverability."""

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

@@ -44,7 +44,6 @@ from ..model import (
     update_session_title,
     upsert_chat_session,
 )
-from ..prompt_constants import KEY_WORKFLOWS
 from ..response_model import (
     StreamBaseResponse,
     StreamError,
@@ -60,7 +59,6 @@ from ..service import (
     _generate_session_title,
     _is_langfuse_configured,
 )
-from ..tools import TOOL_REGISTRY
 from ..tools.e2b_sandbox import get_or_create_sandbox
 from ..tools.sandbox import WORKSPACE_PREFIX, make_session_path
 from ..tools.workspace_files import get_manager
@@ -151,37 +149,8 @@ _HEARTBEAT_INTERVAL = 10.0  # seconds
 # Appended to the system prompt to inform the agent about available tools.
 # The SDK built-in Bash is NOT available — use mcp__copilot__bash_exec instead,
 # which has kernel-level network isolation (unshare --net).
-def _generate_tool_documentation() -> str:
-    """Auto-generate tool documentation from TOOL_REGISTRY.
-
-    This generates a complete list of available tools with their descriptions,
-    ensuring the documentation stays in sync with the actual tool implementations.
-    """
-    docs = "\n## AVAILABLE TOOLS\n\n"
-
-    # Sort tools alphabetically for consistent output
-    for name in sorted(TOOL_REGISTRY.keys()):
-        tool = TOOL_REGISTRY[name]
-        schema = tool.as_openai_tool()
-        desc = schema["function"].get("description", "No description available")
-        # Format as bullet list with tool name in code style
-        docs += f"- **`{name}`**: {desc}\n"
-
-    # Add workflow guidance for key tools
-    docs += KEY_WORKFLOWS
-
-    return docs
-
-
 _SHARED_TOOL_NOTES = """\
 
-### Web search and research
-- **`web_search(query)`** — Search the web for current information (uses Claude's
-  native web search). Use this when you need up-to-date information, facts,
-  statistics, or current events that are beyond your knowledge cutoff.
-- **`web_fetch(url)`** — Retrieve and analyze content from a specific URL.
-  Use this when you have a specific URL to read (documentation, articles, etc.).
-
 ### Sharing files with the user
 After saving a file to the persistent workspace with `write_workspace_file`,
 share it with the user by embedding the `download_url` from the response in
@@ -475,7 +444,6 @@ def _format_sdk_content_blocks(blocks: list) -> list[dict[str, Any]]:
     """Convert SDK content blocks to transcript format.
 
     Handles TextBlock, ToolUseBlock, ToolResultBlock, and ThinkingBlock.
-    Unknown block types are logged and skipped.
     """
     result: list[dict[str, Any]] = []
     for block in blocks or []:
@@ -506,11 +474,6 @@ def _format_sdk_content_blocks(blocks: list) -> list[dict[str, Any]]:
                     "signature": block.signature,
                 }
             )
-        else:
-            logger.warning(
-                f"[SDK] Unknown content block type: {type(block).__name__}. "
-                f"This may indicate a new SDK version with additional block types."
-            )
     return result
 
 
@@ -996,16 +959,10 @@ async def stream_chat_completion_sdk(
         )
 
         use_e2b = e2b_sandbox is not None
-        # Generate tool documentation and append appropriate supplement
-        tool_docs = _generate_tool_documentation()
-        system_prompt = (
-            base_system_prompt
-            + tool_docs
-            + (
-                _E2B_TOOL_SUPPLEMENT
-                if use_e2b
-                else _LOCAL_TOOL_SUPPLEMENT.format(cwd=sdk_cwd)
-            )
+        system_prompt = base_system_prompt + (
+            _E2B_TOOL_SUPPLEMENT
+            if use_e2b
+            else _LOCAL_TOOL_SUPPLEMENT.format(cwd=sdk_cwd)
         )
 
         # Process transcript download result
@@ -1023,7 +980,7 @@ async def stream_chat_completion_sdk(
             )
             if is_valid:
                 # Load previous FULL context into builder
-                transcript_builder.load_previous(dl.content, log_prefix=log_prefix)
+                transcript_builder.load_previous(dl.content)
                 resume_file = write_transcript_to_tempfile(
                     dl.content, session_id, sdk_cwd
                 )
@@ -1173,9 +1130,8 @@ async def stream_chat_completion_sdk(
                 transcript_builder.add_user_message(content=content_blocks)
             else:
                 await client.query(query_message, session_id=session_id)
-                # Capture actual user message in transcript (not the engineered query)
-                # query_message may include context wrappers, but transcript needs raw input
-                transcript_builder.add_user_message(content=current_message)
+                # Capture user message in transcript (text only)
+                transcript_builder.add_user_message(content=query_message)
 
             assistant_response = ChatMessage(role="assistant", content="")
             accumulated_tool_calls: list[dict[str, Any]] = []
@@ -1253,7 +1209,7 @@ async def stream_chat_completion_sdk(
                         len(adapter.resolved_tool_calls),
                     )
 
-                    # Capture SDK messages in transcript
+                    # Capture AssistantMessage in transcript
                     if isinstance(sdk_msg, AssistantMessage):
                         content_blocks = _format_sdk_content_blocks(sdk_msg.content)
                         model_name = getattr(sdk_msg, "model", "")
@@ -1392,28 +1348,17 @@ async def stream_chat_completion_sdk(
                                 has_appended_assistant = True
 
                         elif isinstance(response, StreamToolOutputAvailable):
-                            tool_result_content = (
-                                response.output
-                                if isinstance(response.output, str)
-                                else str(response.output)
-                            )
                             session.messages.append(
                                 ChatMessage(
                                     role="tool",
-                                    content=tool_result_content,
+                                    content=(
+                                        response.output
+                                        if isinstance(response.output, str)
+                                        else str(response.output)
+                                    ),
                                     tool_call_id=response.toolCallId,
                                 )
                             )
-                            # Capture tool result in transcript as user message with tool_result content
-                            transcript_builder.add_user_message(
-                                content=[
-                                    {
-                                        "type": "tool_result",
-                                        "tool_use_id": response.toolCallId,
-                                        "content": tool_result_content,
-                                    }
-                                ]
-                            )
                             has_tool_results = True
 
                         elif isinstance(response, StreamFinish):
@@ -1609,10 +1554,8 @@ async def stream_chat_completion_sdk(
                         transcript_builder.entry_count,
                         len(transcript_content),
                     )
-                    # Shield upload from cancellation - let it complete even if
-                    # the finally block is interrupted. No timeout to avoid race
-                    # conditions where backgrounded uploads overwrite newer transcripts.
-                    await asyncio.shield(
+                    # Create task first so we have a reference if timeout occurs
+                    upload_task = asyncio.create_task(
                         upload_transcript(
                             user_id=user_id,
                             session_id=session_id,
@@ -1621,6 +1564,19 @@ async def stream_chat_completion_sdk(
                             log_prefix=log_prefix,
                         )
                     )
+                    try:
+                        async with asyncio.timeout(30):
+                            await asyncio.shield(upload_task)
+                    except TimeoutError:
+                        # Timeout fired but shield keeps upload running - track the
+                        # SAME task to prevent garbage collection (no double upload)
+                        logger.warning(
+                            "%s Transcript upload exceeded 30s timeout, "
+                            "continuing in background",
+                            log_prefix,
+                        )
+                        _background_tasks.add(upload_task)
+                        upload_task.add_done_callback(_background_tasks.discard)
             except Exception as upload_err:
                 logger.error(
                     "%s Transcript upload failed in finally: %s",
@@ -1645,7 +1601,7 @@ async def _update_title_async(
             message, user_id=user_id, session_id=session_id
         )
         if title and user_id:
-            await update_session_title(session_id, title)
+            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/copilot/sdk/service_test.py

@@ -7,7 +7,7 @@ from unittest.mock import AsyncMock, patch
 
 import pytest
 
-from .service import _generate_tool_documentation, _prepare_file_attachments
+from .service import _prepare_file_attachments
 
 
 @dataclass
@@ -145,94 +145,3 @@ class TestPrepareFileAttachments:
 
         assert "Read tool" not in result.hint
         assert len(result.image_blocks) == 1
-
-
-class TestGenerateToolDocumentation:
-    """Tests for auto-generated tool documentation from TOOL_REGISTRY."""
-
-    def test_generate_tool_documentation_structure(self):
-        """Test that tool documentation has expected structure."""
-        docs = _generate_tool_documentation()
-
-        # Check main sections exist
-        assert "## AVAILABLE TOOLS" in docs
-        assert "## KEY WORKFLOWS" in docs
-
-        # Verify no duplicate sections
-        assert docs.count("## AVAILABLE TOOLS") == 1
-        assert docs.count("## KEY WORKFLOWS") == 1
-
-    def test_tool_documentation_includes_key_tools(self):
-        """Test that documentation includes essential copilot tools."""
-        docs = _generate_tool_documentation()
-
-        # Core agent workflow tools
-        assert "`create_agent`" in docs
-        assert "`run_agent`" in docs
-        assert "`find_library_agent`" in docs
-        assert "`edit_agent`" in docs
-
-        # MCP integration
-        assert "`run_mcp_tool`" in docs
-
-        # Browser automation
-        assert "`browser_navigate`" in docs
-
-        # Folder management
-        assert "`create_folder`" in docs
-
-    def test_tool_documentation_format(self):
-        """Test that each tool follows bullet list format."""
-        docs = _generate_tool_documentation()
-
-        lines = docs.split("\n")
-        tool_lines = [line for line in lines if line.strip().startswith("- **`")]
-
-        # Should have multiple tools (at least 20 from TOOL_REGISTRY)
-        assert len(tool_lines) >= 20
-
-        # Each tool line should have proper markdown format
-        for line in tool_lines:
-            assert line.startswith("- **`"), f"Bad format: {line}"
-            assert "`**:" in line, f"Missing description separator: {line}"
-
-    def test_tool_documentation_includes_workflows(self):
-        """Test that key workflow patterns are documented."""
-        docs = _generate_tool_documentation()
-
-        # Check workflow sections
-        assert "MCP Integration Workflow" in docs
-        assert "Agent Creation Workflow" in docs
-        assert "Folder Management" in docs
-
-        # Check workflow details
-        assert "suggested_goal" in docs  # Agent creation feedback loop
-        assert "clarifying_questions" in docs  # Agent creation feedback loop
-        assert "run_mcp_tool(server_url)" in docs  # MCP discovery pattern
-
-    def test_tool_documentation_completeness(self):
-        """Test that all tools from TOOL_REGISTRY appear in documentation."""
-        from backend.copilot.tools import TOOL_REGISTRY
-
-        docs = _generate_tool_documentation()
-
-        # Verify each registered tool is documented
-        for tool_name in TOOL_REGISTRY.keys():
-            assert (
-                f"`{tool_name}`" in docs
-            ), f"Tool '{tool_name}' missing from auto-generated documentation"
-
-    def test_tool_documentation_no_duplicate_tools(self):
-        """Test that no tool appears multiple times in the list."""
-        from backend.copilot.tools import TOOL_REGISTRY
-
-        docs = _generate_tool_documentation()
-
-        # Extract the tools section (before KEY WORKFLOWS)
-        tools_section = docs.split("## KEY WORKFLOWS")[0]
-
-        # Count occurrences of each tool
-        for tool_name in TOOL_REGISTRY.keys():
-            # Count how many times this tool appears as a bullet point
-            count = tools_section.count(f"- **`{tool_name}`**")
-            assert count == 1, f"Tool '{tool_name}' appears {count} times (should be 1)"

autogpt_platform/backend/backend/copilot/sdk/transcript.py

@@ -10,14 +10,13 @@ Storage is handled via ``WorkspaceStorageBackend`` (GCS in prod, local
 filesystem for self-hosted) — no DB column needed.
 """
 
+import json
 import logging
 import os
 import re
 import time
 from dataclasses import dataclass
 
-from backend.util import json
-
 logger = logging.getLogger(__name__)
 
 # UUIDs are hex + hyphens; strip everything else to prevent path injection.
@@ -69,14 +68,17 @@ def strip_progress_entries(content: str) -> str:
     # Parse entries, keeping the original line alongside the parsed dict.
     parsed: list[tuple[str, dict | None]] = []
     for line in lines:
-        parsed.append((line, json.loads(line, fallback=None)))
+        try:
+            parsed.append((line, json.loads(line)))
+        except json.JSONDecodeError:
+            parsed.append((line, None))
 
     # First pass: identify stripped UUIDs and build parent map.
     stripped_uuids: set[str] = set()
     uuid_to_parent: dict[str, str] = {}
 
     for _line, entry in parsed:
-        if not isinstance(entry, dict):
+        if entry is None:
             continue
         uid = entry.get("uuid", "")
         parent = entry.get("parentUuid", "")
@@ -89,7 +91,7 @@ def strip_progress_entries(content: str) -> str:
     # Preserve original line when no reparenting is required.
     reparented: set[str] = set()
     for _line, entry in parsed:
-        if not isinstance(entry, dict):
+        if entry is None:
             continue
         parent = entry.get("parentUuid", "")
         original_parent = parent
@@ -103,7 +105,7 @@ def strip_progress_entries(content: str) -> str:
 
     result_lines: list[str] = []
     for line, entry in parsed:
-        if not isinstance(entry, dict):
+        if entry is None:
             result_lines.append(line)
             continue
         if entry.get("type", "") in STRIPPABLE_TYPES:
@@ -223,11 +225,12 @@ def validate_transcript(content: str | None) -> bool:
     for line in lines:
         if not line.strip():
             continue
-        entry = json.loads(line, fallback=None)
-        if not isinstance(entry, dict):
+        try:
+            entry = json.loads(line)
+            if entry.get("type") == "assistant":
+                has_assistant = True
+        except json.JSONDecodeError:
             return False
-        if entry.get("type") == "assistant":
-            has_assistant = True
 
     return has_assistant
 
@@ -307,8 +310,10 @@ async def upload_transcript(
         # Log entry types for debugging — helps identify why validation failed
         entry_types: list[str] = []
         for line in stripped.strip().split("\n"):
-            entry = json.loads(line, fallback={"type": "INVALID_JSON"})
-            entry_types.append(entry.get("type", "?"))
+            try:
+                entry_types.append(json.loads(line).get("type", "?"))
+            except json.JSONDecodeError:
+                entry_types.append("INVALID_JSON")
         logger.warning(
             "%s Skipping upload — stripped content not valid "
             "(types=%s, stripped_len=%d, raw_len=%d)",
@@ -391,10 +396,10 @@ async def download_transcript(
             meta_path = f"local://{mwid}/{mfid}/{mfname}"
 
         meta_data = await storage.retrieve(meta_path)
-        meta = json.loads(meta_data.decode("utf-8"), fallback={})
+        meta = json.loads(meta_data.decode("utf-8"))
         message_count = meta.get("message_count", 0)
         uploaded_at = meta.get("uploaded_at", 0.0)
-    except (FileNotFoundError, Exception):
+    except (FileNotFoundError, json.JSONDecodeError, Exception):
         pass  # No metadata — treat as unknown (msg_count=0 → always fill gap)
 
     logger.info(f"{log_prefix} Downloaded {len(content)}B (msg_count={message_count})")

autogpt_platform/backend/backend/copilot/sdk/transcript_builder.py

@@ -11,16 +11,13 @@ Flow:
 The transcript is never incremental - always the complete atomic state.
 """
 
+import json
 import logging
 from typing import Any
 from uuid import uuid4
 
 from pydantic import BaseModel
 
-from backend.util import json
-
-from .transcript import STRIPPABLE_TYPES
-
 logger = logging.getLogger(__name__)
 
 
@@ -44,7 +41,7 @@ class TranscriptBuilder:
         self._entries: list[TranscriptEntry] = []
         self._last_uuid: str | None = None
 
-    def load_previous(self, content: str, log_prefix: str = "[Transcript]") -> None:
+    def load_previous(self, content: str) -> None:
         """Load complete previous transcript.
 
         This loads the FULL previous context. As new messages come in,
@@ -54,25 +51,19 @@ class TranscriptBuilder:
         if not content or not content.strip():
             return
 
-        lines = content.strip().split("\n")
-        for line_num, line in enumerate(lines, 1):
+        for line in content.strip().split("\n"):
             if not line.strip():
                 continue
 
-            data = json.loads(line, fallback=None)
-            if data is None:
-                logger.warning(
-                    "%s Failed to parse transcript line %d/%d",
-                    log_prefix,
-                    line_num,
-                    len(lines),
-                )
+            try:
+                data = json.loads(line)
+            except json.JSONDecodeError:
+                logger.warning("Failed to parse transcript line: %s", line[:100])
                 continue
 
-            # Load all non-strippable entries (user/assistant/system/etc.)
-            # Skip only STRIPPABLE_TYPES to match strip_progress_entries() behavior
-            entry_type = data.get("type", "")
-            if entry_type in STRIPPABLE_TYPES:
+            # Only load conversation messages (user/assistant)
+            # Skip metadata entries
+            if data.get("type") not in ("user", "assistant"):
                 continue
 
             entry = TranscriptEntry(
@@ -85,8 +76,7 @@ class TranscriptBuilder:
             self._last_uuid = entry.uuid
 
         logger.info(
-            "%s Loaded %d entries from previous transcript (last_uuid=%s)",
-            log_prefix,
+            "Loaded %d entries from previous transcript (last_uuid=%s)",
             len(self._entries),
             self._last_uuid[:12] if self._last_uuid else None,
         )

autogpt_platform/backend/backend/copilot/sdk/transcript_test.py

@@ -1,9 +1,8 @@
 """Unit tests for JSONL transcript management utilities."""
 
+import json
 import os
 
-from backend.util import json
-
 from .transcript import (
     STRIPPABLE_TYPES,
     strip_progress_entries,
@@ -257,9 +256,10 @@ class TestStripProgressEntries:
 
     def test_preserves_original_line_formatting(self):
         """Non-reparented entries keep their original JSON formatting."""
-        # orjson produces compact JSON - test that we preserve the exact input
-        # when no reparenting is needed (no re-serialization)
-        original_line = json.dumps(USER_MSG)
+        # Use pretty-printed JSON with spaces (as the CLI produces)
+        original_line = json.dumps(USER_MSG)  # default formatting with spaces
+        compact_line = json.dumps(USER_MSG, separators=(",", ":"))
+        assert original_line != compact_line  # precondition
 
         content = original_line + "\n" + json.dumps(ASST_MSG) + "\n"
         result = strip_progress_entries(content)

autogpt_platform/backend/backend/copilot/service.py

@@ -34,9 +34,8 @@ client = LangfuseAsyncOpenAI(api_key=config.api_key, base_url=config.base_url)
 langfuse = get_client()
 
 # Default system prompt used when Langfuse is not configured
-# Provides minimal baseline tone and personality - all workflow, tools, and
-# technical details are provided via the supplement.
-DEFAULT_SYSTEM_PROMPT = """You are an AI automation assistant helping users build and run automations.
+# This is a snapshot of the "CoPilot Prompt" from Langfuse (version 11)
+DEFAULT_SYSTEM_PROMPT = """You are **Otto**, an AI Co-Pilot for AutoGPT and a Forward-Deployed Automation Engineer serving small business owners. Your mission is to help users automate business tasks with AI by delivering tangible value through working automations—not through documentation or lengthy explanations.
 
 Here is everything you know about the current user from previous interactions:
 
@@ -44,12 +43,113 @@ Here is everything you know about the current user from previous interactions:
 {users_information}
 </users_information>
 
-Your goal is to help users automate tasks by:
-- Understanding their needs and business context
-- Building and running working automations
-- Delivering tangible value through action, not just explanation
+## YOUR CORE MANDATE
 
-Be concise, proactive, and action-oriented. Bias toward showing working solutions over lengthy explanations."""
+You are action-oriented. Your success is measured by:
+- **Value Delivery**: Does the user think "wow, that was amazing" or "what was the point"?
+- **Demonstrable Proof**: Show working automations, not descriptions of what's possible
+- **Time Saved**: Focus on tangible efficiency gains
+- **Quality Output**: Deliver results that meet or exceed expectations
+
+## YOUR WORKFLOW
+
+Adapt flexibly to the conversation context. Not every interaction requires all stages:
+
+1. **Explore & Understand**: Learn about the user's business, tasks, and goals. Use `add_understanding` to capture important context that will improve future conversations.
+
+2. **Assess Automation Potential**: Help the user understand whether and how AI can automate their task.
+
+3. **Prepare for AI**: Provide brief, actionable guidance on prerequisites (data, access, etc.).
+
+4. **Discover or Create Agents**:
+   - **Always check the user's library first** with `find_library_agent` (these may be customized to their needs)
+   - Search the marketplace with `find_agent` for pre-built automations
+   - Find reusable components with `find_block`
+   - **For live integrations** (read a GitHub repo, query a database, post to Slack, etc.) consider `run_mcp_tool` — it connects directly to external services without building a full agent
+   - Create custom solutions with `create_agent` if nothing suitable exists
+   - Modify existing library agents with `edit_agent`
+   - **When `create_agent` returns `suggested_goal`**: Present the suggestion to the user and ask "Would you like me to proceed with this refined goal?" If they accept, call `create_agent` again with the suggested goal.
+   - **When `create_agent` returns `clarifying_questions`**: After the user answers, call `create_agent` again with the original description AND the answers in the `context` parameter.
+
+5. **Execute**: Run automations immediately, schedule them, or set up webhooks using `run_agent`. Test specific components with `run_block`.
+
+6. **Show Results**: Display outputs using `agent_output`.
+
+## AVAILABLE TOOLS
+
+**Understanding & Discovery:**
+- `add_understanding`: Create a memory about the user's business or use cases for future sessions
+- `search_docs`: Search platform documentation for specific technical information
+- `get_doc_page`: Retrieve full text of a specific documentation page
+
+**Agent Discovery:**
+- `find_library_agent`: Search the user's existing agents (CHECK HERE FIRST—these may be customized)
+- `find_agent`: Search the marketplace for pre-built automations
+- `find_block`: Find pre-written code units that perform specific tasks (agents are built from blocks)
+
+**Agent Creation & Editing:**
+- `create_agent`: Create a new automation agent
+- `edit_agent`: Modify an agent in the user's library
+
+**Execution & Output:**
+- `run_agent`: Run an agent now, schedule it, or set up a webhook trigger
+- `run_block`: Test or run a specific block independently
+- `agent_output`: View results from previous agent runs
+
+**MCP (Model Context Protocol) Servers:**
+- `run_mcp_tool`: Connect to any MCP server to discover and run its tools
+
+  **Two-step flow:**
+  1. `run_mcp_tool(server_url)` → returns a list of available tools. Each tool has `name`, `description`, and `input_schema` (JSON Schema). Read `input_schema.properties` to understand what arguments are needed.
+  2. `run_mcp_tool(server_url, tool_name, tool_arguments)` → executes the tool. Build `tool_arguments` as a flat `{{key: value}}` object matching the tool's `input_schema.properties`.
+
+  **Authentication:** If the MCP server requires credentials, the UI will show an OAuth connect button. Once the user connects and clicks Proceed, they will automatically send you a message confirming credentials are ready (e.g. "I've connected the MCP server credentials. Please retry run_mcp_tool..."). When you receive that confirmation, **immediately** call `run_mcp_tool` again with the exact same `server_url` — and the same `tool_name`/`tool_arguments` if you were already mid-execution. Do not ask the user what to do next; just retry.
+
+  **Finding server URLs (fastest → slowest):**
+  1. **Known hosted servers** — use directly, no lookup:
+     - Notion: `https://mcp.notion.com/mcp`
+     - Linear: `https://mcp.linear.app/mcp`
+     - Stripe: `https://mcp.stripe.com`
+     - Intercom: `https://mcp.intercom.com/mcp`
+     - Cloudflare: `https://mcp.cloudflare.com/mcp`
+     - Atlassian (Jira/Confluence): `https://mcp.atlassian.com/mcp`
+  2. **`web_search`** — use `web_search("{{service}} MCP server URL")` for any service not in the list above. This is the fastest way to find unlisted servers.
+  3. **Registry API** — `web_fetch("https://registry.modelcontextprotocol.io/v0.1/servers?search={{query}}&limit=10")` to browse what's available. Returns names + GitHub repo URLs but NOT the endpoint URL; follow up with `web_search` to find the actual endpoint.
+  - **Never** `web_fetch` the registry homepage — it is JavaScript-rendered and returns a blank page.
+
+  **When to use:** Use `run_mcp_tool` when the user wants to interact with an external service (GitHub, Slack, a database, a SaaS tool, etc.) via its MCP integration. Unlike `web_fetch` (which just retrieves a raw URL), MCP servers expose structured typed tools — prefer `run_mcp_tool` for any service with an MCP server, and `web_fetch` only for plain URL retrieval with no MCP server involved.
+
+  **CRITICAL**: `run_mcp_tool` is **always available** in your tool list. If the user explicitly provides an MCP server URL or asks you to call `run_mcp_tool`, you MUST use it — never claim it is unavailable, and never substitute `web_fetch` for an explicit MCP request.
+
+## BEHAVIORAL GUIDELINES
+
+**Be Concise:**
+- Target 2-5 short lines maximum
+- Make every word count—no repetition or filler
+- Use lightweight structure for scannability (bullets, numbered lists, short prompts)
+- Avoid jargon (blocks, slugs, cron) unless the user asks
+
+**Be Proactive:**
+- Suggest next steps before being asked
+- Anticipate needs based on conversation context and user information
+- Look for opportunities to expand scope when relevant
+- Reveal capabilities through action, not explanation
+
+**Use Tools Effectively:**
+- Select the right tool for each task
+- **Always check `find_library_agent` before searching the marketplace**
+- Use `add_understanding` to capture valuable business context
+- When tool calls fail, try alternative approaches
+- **For MCP integrations**: Known URL (see list) or `web_search("{{service}} MCP server URL")` → `run_mcp_tool(server_url)` → `run_mcp_tool(server_url, tool_name, tool_arguments)`. If credentials needed, UI prompts automatically; when user confirms, retry immediately with same arguments.
+
+**Handle Feedback Loops:**
+- When a tool returns a suggested alternative (like a refined goal), present it clearly and ask the user for confirmation before proceeding
+- When clarifying questions are answered, immediately re-call the tool with the accumulated context
+- Don't ask redundant questions if the user has already provided context in the conversation
+
+## CRITICAL REMINDER
+
+You are NOT a chatbot. You are NOT documentation. You are a partner who helps busy business owners get value quickly by showing proof through working automations. Bias toward action over explanation."""
 
 
 # ---------------------------------------------------------------------------

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

@@ -15,7 +15,6 @@ 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
@@ -33,6 +32,7 @@ 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,
@@ -831,9 +831,8 @@ async def add_graph_execution(
         udb = user_db
         gdb = graph_db
         odb = onboarding_db
-        wdb = workspace_db
     else:
-        edb = udb = gdb = odb = wdb = get_database_manager_async_client()
+        edb = udb = gdb = odb = get_database_manager_async_client()
 
     # Get or create the graph execution
     if graph_exec_id:
@@ -893,7 +892,7 @@ 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 wdb.get_or_create_workspace(user_id)
+        workspace = await get_or_create_workspace(user_id)
 
         execution_context = ExecutionContext(
             # Execution identity

autogpt_platform/backend/backend/executor/utils_test.py

@@ -368,10 +368,12 @@ async def test_add_graph_execution_is_repeatable(mocker: MockerFixture):
     mock_get_event_bus = mocker.patch(
         "backend.executor.utils.get_async_execution_event_bus"
     )
-    mock_wdb = mocker.patch("backend.executor.utils.workspace_db")
     mock_workspace = mocker.MagicMock()
     mock_workspace.id = "test-workspace-id"
-    mock_wdb.get_or_create_workspace = mocker.AsyncMock(return_value=mock_workspace)
+    mocker.patch(
+        "backend.executor.utils.get_or_create_workspace",
+        new=mocker.AsyncMock(return_value=mock_workspace),
+    )
 
     # Setup mock returns
     # The function returns (graph, starting_nodes_input, compiled_nodes_input_masks, nodes_to_skip)
@@ -647,10 +649,12 @@ async def test_add_graph_execution_with_nodes_to_skip(mocker: MockerFixture):
     mock_get_event_bus = mocker.patch(
         "backend.executor.utils.get_async_execution_event_bus"
     )
-    mock_wdb = mocker.patch("backend.executor.utils.workspace_db")
     mock_workspace = mocker.MagicMock()
     mock_workspace.id = "test-workspace-id"
-    mock_wdb.get_or_create_workspace = mocker.AsyncMock(return_value=mock_workspace)
+    mocker.patch(
+        "backend.executor.utils.get_or_create_workspace",
+        new=mocker.AsyncMock(return_value=mock_workspace),
+    )
 
     # Setup returns - include nodes_to_skip in the tuple
     mock_validate.return_value = (

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/backend/backend/util/json.py

@@ -72,58 +72,19 @@ def dumps(
 
 T = TypeVar("T")
 
-# Sentinel value to detect when fallback is not provided
-_NO_FALLBACK = object()
+
+@overload
+def loads(data: str | bytes, *args, target_type: Type[T], **kwargs) -> T: ...
 
 
 @overload
-def loads(
-    data: str | bytes, *args, target_type: Type[T], fallback: T | None = None, **kwargs
-) -> T:
-    pass
-
-
-@overload
-def loads(data: str | bytes, *args, fallback: Any = None, **kwargs) -> Any:
-    pass
+def loads(data: str | bytes, *args, **kwargs) -> Any: ...
 
 
 def loads(
-    data: str | bytes,
-    *args,
-    target_type: Type[T] | None = None,
-    fallback: Any = _NO_FALLBACK,
-    **kwargs,
+    data: str | bytes, *args, target_type: Type[T] | None = None, **kwargs
 ) -> Any:
-    """Parse JSON with optional fallback on decode errors.
-
-    Args:
-        data: JSON string or bytes to parse
-        target_type: Optional type to validate/cast result to
-        fallback: Value to return on JSONDecodeError. If not provided, raises.
-        **kwargs: Additional arguments (unused, for compatibility)
-
-    Returns:
-        Parsed JSON data, or fallback value if parsing fails
-
-    Raises:
-        orjson.JSONDecodeError: Only if fallback is not provided
-
-    Examples:
-        >>> loads('{"valid": "json"}')
-        {'valid': 'json'}
-        >>> loads('invalid json', fallback=None)
-        None
-        >>> loads('invalid json', fallback={})
-        {}
-        >>> loads('invalid json')  # raises orjson.JSONDecodeError
-    """
-    try:
-        parsed = orjson.loads(data)
-    except orjson.JSONDecodeError:
-        if fallback is not _NO_FALLBACK:
-            return fallback
-        raise
+    parsed = orjson.loads(data)
 
     if target_type:
         return type_match(parsed, target_type)

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 |