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https://github.com/langbot-app/LangBot.git
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refactor(agent-runner): simplify event-first entry path
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@@ -1,4 +1,4 @@
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"""Migrate pipeline config to new runner format
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"""Normalize AgentRunner config containers
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Revision ID: 0004_migrate_runner_config
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Revises: 0003_add_rerank_models
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@@ -14,101 +14,23 @@ down_revision = '0003_add_rerank_models'
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branch_labels = None
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depends_on = None
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# Mapping from old built-in runner names to official plugin runner IDs
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OLD_RUNNER_TO_PLUGIN_RUNNER_ID = {
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'local-agent': 'plugin:langbot/local-agent/default',
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'dify-service-api': 'plugin:langbot/dify-agent/default',
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'n8n-service-api': 'plugin:langbot/n8n-agent/default',
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'coze-api': 'plugin:langbot/coze-agent/default',
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'dashscope-app-api': 'plugin:langbot/dashscope-agent/default',
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'langflow-api': 'plugin:langbot/langflow-agent/default',
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'tbox-app-api': 'plugin:langbot/tbox-agent/default',
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}
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def is_plugin_runner_id(runner_id: str) -> bool:
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"""Check if runner ID is in plugin:* format."""
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return runner_id.startswith('plugin:')
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def normalize_runner_config_for_migration(runner_id: str, runner_config: dict) -> dict:
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"""Normalize released legacy runner fields before storing binding config."""
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normalized = dict(runner_config)
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if runner_id == OLD_RUNNER_TO_PLUGIN_RUNNER_ID['local-agent']:
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legacy_kb = normalized.pop('knowledge-base', None)
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if 'knowledge-bases' not in normalized:
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if isinstance(legacy_kb, str) and legacy_kb and legacy_kb not in {'__none__', '__none'}:
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normalized['knowledge-bases'] = [legacy_kb]
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elif legacy_kb is not None:
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normalized['knowledge-bases'] = []
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return normalized
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def migrate_pipeline_config(config: dict) -> dict:
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"""Migrate pipeline config to new format."""
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"""Keep current AgentRunner config containers explicit."""
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new_config = dict(config)
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ai_config = new_config.get('ai', {})
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if not ai_config:
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if 'ai' not in new_config:
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return new_config
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runner_config = ai_config.get('runner', {})
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runner_configs = ai_config.get('runner_config', {})
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ai_config = dict(new_config.get('ai', {}))
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# Check for new format first
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runner_id = runner_config.get('id')
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if runner_id and is_plugin_runner_id(runner_id):
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if runner_id in runner_configs:
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runner_configs[runner_id] = normalize_runner_config_for_migration(
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runner_id,
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runner_configs[runner_id],
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)
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ai_config['runner_config'] = runner_configs
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new_config['ai'] = ai_config
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return new_config
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# Check for old format
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old_runner_name = runner_config.get('runner')
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if old_runner_name:
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# Map to new runner ID
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if is_plugin_runner_id(old_runner_name):
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runner_id = old_runner_name
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else:
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runner_id = OLD_RUNNER_TO_PLUGIN_RUNNER_ID.get(old_runner_name, old_runner_name)
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# Set new format
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runner_config['id'] = runner_id
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# Remove old runner field if it's a mapped built-in runner
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if old_runner_name in OLD_RUNNER_TO_PLUGIN_RUNNER_ID:
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del runner_config['runner']
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# Migrate runner-specific config and remove old config blocks
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if old_runner_name in ai_config:
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old_runner_config = ai_config[old_runner_name]
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if old_runner_config:
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runner_configs[runner_id] = normalize_runner_config_for_migration(runner_id, old_runner_config)
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# Remove old config block after migration
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del ai_config[old_runner_name]
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# Also check if runner_id has config under other old name formats
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for old_name, mapped_id in OLD_RUNNER_TO_PLUGIN_RUNNER_ID.items():
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if mapped_id == runner_id and old_name in ai_config:
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runner_configs[runner_id] = normalize_runner_config_for_migration(runner_id, ai_config[old_name])
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# Remove old config block after migration
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del ai_config[old_name]
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# Update configs
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ai_config['runner'] = runner_config
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ai_config['runner_config'] = runner_configs
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ai_config['runner'] = dict(ai_config.get('runner', {}))
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ai_config['runner_config'] = dict(ai_config.get('runner_config', {}))
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new_config['ai'] = ai_config
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return new_config
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def upgrade() -> None:
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"""Migrate existing pipeline configs to new runner format."""
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"""Normalize existing pipeline config containers."""
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conn = op.get_bind()
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inspector = sa.inspect(conn)
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