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https://github.com/Significant-Gravitas/AutoGPT.git
synced 2026-01-28 08:28:00 -05:00
feat(backend/chat): update CoPilot execution context mapping
Update run_block.py with proper CoPilot-to-graph context mapping:
- graph_id = copilot-session-{session_id} (agent = session)
- graph_exec_id = copilot-session-{session_id} (run = session)
- graph_version = 1 (versions are 1-indexed)
- Pass workspace_id and session_id for file operations
- Each chat session is its own agent with one continuous run
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -1,6 +1,7 @@
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"""Tool for executing blocks directly."""
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import logging
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import uuid
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from collections import defaultdict
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from typing import Any
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@@ -8,6 +9,7 @@ from backend.api.features.chat.model import ChatSession
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from backend.data.block import get_block
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from backend.data.execution import ExecutionContext
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from backend.data.model import CredentialsMetaInput
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from backend.data.workspace import get_or_create_workspace
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from backend.integrations.creds_manager import IntegrationCredentialsManager
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from backend.util.exceptions import BlockError
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@@ -223,11 +225,48 @@ class RunBlockTool(BaseTool):
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)
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try:
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# Fetch actual credentials and prepare kwargs for block execution
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# Create execution context with defaults (blocks may require it)
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# Get or create user's workspace for CoPilot file operations
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workspace = await get_or_create_workspace(user_id)
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# Generate synthetic IDs for CoPilot context
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# Each chat session is treated as its own agent with one continuous run
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# This means:
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# - graph_id (agent) = session (memories scoped to session when limit_to_agent=True)
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# - graph_exec_id (run) = session (memories scoped to session when limit_to_run=True)
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# - node_exec_id = unique per block execution
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synthetic_graph_id = f"copilot-session-{session.session_id}"
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synthetic_graph_exec_id = f"copilot-session-{session.session_id}"
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synthetic_node_id = f"copilot-node-{block_id}"
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synthetic_node_exec_id = (
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f"copilot-{session.session_id}-{uuid.uuid4().hex[:8]}"
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)
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# Create unified execution context with all required fields
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execution_context = ExecutionContext(
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# Execution identity
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user_id=user_id,
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graph_id=synthetic_graph_id,
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graph_exec_id=synthetic_graph_exec_id,
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graph_version=1, # Versions are 1-indexed
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node_id=synthetic_node_id,
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node_exec_id=synthetic_node_exec_id,
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# Workspace with session scoping
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workspace_id=workspace.id,
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session_id=session.session_id,
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)
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# Prepare kwargs for block execution
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# Keep individual kwargs for backwards compatibility with existing blocks
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exec_kwargs: dict[str, Any] = {
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"user_id": user_id,
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"execution_context": ExecutionContext(),
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"execution_context": execution_context,
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# Legacy: individual kwargs for blocks not yet using execution_context
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"workspace_id": workspace.id,
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"graph_exec_id": synthetic_graph_exec_id,
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"node_exec_id": synthetic_node_exec_id,
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"node_id": synthetic_node_id,
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"graph_version": 1, # Versions are 1-indexed
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"graph_id": synthetic_graph_id,
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}
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for field_name, cred_meta in matched_credentials.items():
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