8a8d3ea20e
Extract token usage from Claude Code's stream-json output in real-time during task execution, replacing the inaccurate global JSONL log scanner. - New `task_usage` table: tracks (task_id, provider, model) level usage - Agent SDK: parse `message.usage` from assistant messages, accumulate per-model and return in Result - Daemon: convert agent usage to entries, send with CompleteTask - Server: store usage on task completion, expose workspace-level aggregation APIs (GET /api/usage/daily, GET /api/usage/summary)
14 lines
559 B
SQL
14 lines
559 B
SQL
CREATE TABLE task_usage (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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task_id UUID NOT NULL REFERENCES agent_task_queue(id) ON DELETE CASCADE,
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provider TEXT NOT NULL DEFAULT '',
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model TEXT NOT NULL,
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input_tokens BIGINT NOT NULL DEFAULT 0,
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output_tokens BIGINT NOT NULL DEFAULT 0,
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cache_read_tokens BIGINT NOT NULL DEFAULT 0,
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cache_write_tokens BIGINT NOT NULL DEFAULT 0,
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created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
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UNIQUE (task_id, provider, model)
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);
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CREATE INDEX idx_task_usage_task_id ON task_usage(task_id);
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