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docs: regenerate block docs to include AutogptCopilotBlock

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Zamil Majdy
2026-03-16 22:03:28 +07:00
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docs/integrations/block-integrations/misc.md
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@@ -38,6 +38,44 @@ Input and output schemas define the expected data structure for communication be
---
## Autogpt Copilot
### What it is
Execute tasks using the AutoGPT Copilot with full access to platform tools (agent management, workspace files, web fetch, block execution, and more). Enables sub-agent patterns and scheduled copilot execution.
### How it works
<!-- MANUAL: how_it_works -->
_Add technical explanation here._
<!-- END MANUAL -->
### Inputs
| Input | Description | Type | Required |
|-------|-------------|------|----------|
| prompt | The task or instruction for the copilot to execute. The copilot has access to platform tools like agent management, workspace files, web fetch, block execution, and more. | str | No |
| system_context | Optional additional context prepended to the prompt. Use this to constrain copilot behavior, provide domain context, or set output format requirements. | str | No |
| session_id | Session ID to continue an existing copilot conversation. Leave empty to start a new session. Use the session_id output from a previous run to continue. | str | No |
| timeout | Maximum execution time in seconds. Copilot tasks can involve multiple tool calls and may take a while. Set appropriately for your task complexity. | int | No |
| max_recursion_depth | Maximum nesting depth when the copilot calls this block recursively (sub-agent pattern). Prevents infinite loops. | int | No |
### Outputs
| Output | Description | Type |
|--------|-------------|------|
| error | Error message if execution failed. | str |
| response | The final text response from the copilot. | str |
| tool_calls | List of tools called during execution. Each entry has toolCallId, toolName, input, output, and success fields. | List[Dict[str, Any]] |
| conversation_history | Full conversation history as JSON. Can be used for logging or analysis. | str |
| session_id | Session ID for this conversation. Pass this back to continue the conversation in a future run. | str |
| token_usage | Token usage statistics: promptTokens, completionTokens, totalTokens. | Dict[str, Any] |
### Possible use case
<!-- MANUAL: use_case -->
_Add practical use case examples here._
<!-- END MANUAL -->
---
## Create Reddit Post
### What it is