feat(crouton): add orgId, userId, Compaction_Settings and LLM_Config (#9022)
* LC one shot? * api changes * fix summarizer nameerror
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@@ -39340,13 +39340,51 @@
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],
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"title": "Source",
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"description": "Source service that generated this trace (memgpt-server, lettuce-py)"
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},
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"org_id": {
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"anyOf": [
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{
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"type": "string"
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},
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{
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"type": "null"
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}
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],
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"title": "Org Id",
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"description": "ID of the organization"
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},
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"compaction_settings": {
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"anyOf": [
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{
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"additionalProperties": true,
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"type": "object"
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},
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{
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"type": "null"
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}
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],
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"title": "Compaction Settings",
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"description": "Compaction/summarization settings (summarization calls only)"
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},
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"llm_config": {
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"anyOf": [
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{
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"additionalProperties": true,
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"type": "object"
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},
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{
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"type": "null"
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}
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],
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"title": "Llm Config",
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"description": "LLM configuration used for this call (non-summarization calls only)"
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}
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},
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"additionalProperties": false,
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"type": "object",
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"required": ["request_json", "response_json"],
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"title": "ProviderTrace",
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"description": "Letta's internal representation of a provider trace.\n\nAttributes:\n id (str): The unique identifier of the provider trace.\n request_json (Dict[str, Any]): JSON content of the provider request.\n response_json (Dict[str, Any]): JSON content of the provider response.\n step_id (str): ID of the step that this trace is associated with.\n agent_id (str): ID of the agent that generated this trace.\n agent_tags (list[str]): Tags associated with the agent for filtering.\n call_type (str): Type of call (agent_step, summarization, etc.).\n run_id (str): ID of the run this trace is associated with.\n source (str): Source service that generated this trace (memgpt-server, lettuce-py).\n organization_id (str): The unique identifier of the organization.\n created_at (datetime): The timestamp when the object was created."
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"description": "Letta's internal representation of a provider trace.\n\nAttributes:\n id (str): The unique identifier of the provider trace.\n request_json (Dict[str, Any]): JSON content of the provider request.\n response_json (Dict[str, Any]): JSON content of the provider response.\n step_id (str): ID of the step that this trace is associated with.\n agent_id (str): ID of the agent that generated this trace.\n agent_tags (list[str]): Tags associated with the agent for filtering.\n call_type (str): Type of call (agent_step, summarization, etc.).\n run_id (str): ID of the run this trace is associated with.\n source (str): Source service that generated this trace (memgpt-server, lettuce-py).\n organization_id (str): The unique identifier of the organization.\n user_id (str): The unique identifier of the user who initiated the request.\n compaction_settings (Dict[str, Any]): Compaction/summarization settings (only for summarization calls).\n llm_config (Dict[str, Any]): LLM configuration used for this call (only for non-summarization calls).\n created_at (datetime): The timestamp when the object was created."
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},
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"ProviderType": {
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"type": "string",
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