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https://github.com/langbot-app/LangBot.git
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feat(plugin): report deferred response delivery failures (#2287)
* feat(plugin): report deferred response delivery failures * style: fix ruff format issues in plugin_diagnostics and test_handler_actions --------- Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>
This commit is contained in:
@@ -0,0 +1,274 @@
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from __future__ import annotations
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import traceback
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import weakref
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from dataclasses import dataclass, field
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from typing import Any
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import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
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import langbot_plugin.api.entities.builtin.platform.message as platform_message
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@dataclass(frozen=True)
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class PluginResponseSource:
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plugin: dict[str, str]
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event_name: str | None = None
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is_approximate: bool = False
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@dataclass
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class QueryDiagnosticState:
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pending_by_chain_id: dict[int, list[PluginResponseSource]] = field(default_factory=dict)
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by_response_index: dict[int, list[PluginResponseSource]] = field(default_factory=dict)
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finalizer: weakref.finalize | None = None
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_QUERY_STATES: dict[int, QueryDiagnosticState] = {}
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def record_plugin_response_source(
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query: pipeline_query.Query,
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response_index: int,
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response_sources: list[dict[str, Any]] | None,
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emitted_plugins: list[dict[str, Any]] | None = None,
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event_name: str | None = None,
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) -> None:
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plugin_sources = _build_plugin_sources(response_sources, emitted_plugins, event_name)
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if not plugin_sources:
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return
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state = _get_or_create_query_state(query)
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state.by_response_index[response_index] = plugin_sources
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def record_last_plugin_response_source(
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query: pipeline_query.Query,
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response_sources: list[dict[str, Any]] | None,
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emitted_plugins: list[dict[str, Any]] | None = None,
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event_name: str | None = None,
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) -> None:
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record_plugin_response_source(
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query,
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len(query.resp_message_chain) - 1,
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response_sources,
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emitted_plugins,
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event_name,
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)
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def record_pending_plugin_response_source(
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query: pipeline_query.Query,
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message_chain: platform_message.MessageChain,
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response_sources: list[dict[str, Any]] | None,
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emitted_plugins: list[dict[str, Any]] | None = None,
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event_name: str | None = None,
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) -> None:
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plugin_sources = _build_plugin_sources(response_sources, emitted_plugins, event_name)
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if not plugin_sources:
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return
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state = _get_or_create_query_state(query)
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state.pending_by_chain_id[id(message_chain)] = plugin_sources
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def consume_pending_plugin_response_source(
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query: pipeline_query.Query,
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message_chain: platform_message.MessageChain,
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response_index: int,
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) -> None:
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state = _get_query_state(query)
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if state is None:
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return
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source = state.pending_by_chain_id.pop(id(message_chain), None)
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if source is None:
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return
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state.by_response_index[response_index] = source
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def clear_response_source(query: pipeline_query.Query, response_index: int) -> None:
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state = _get_query_state(query)
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if state is None:
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return
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state.by_response_index.pop(response_index, None)
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_discard_query_state_if_empty(query)
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async def notify_response_delivery_failure(
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ap: Any,
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query: pipeline_query.Query,
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response_index: int,
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message_chain: platform_message.MessageChain,
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error: Exception,
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) -> None:
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try:
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plugin_refs = _get_response_sources(query, response_index)
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if not plugin_refs:
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return
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connector = getattr(ap, 'plugin_connector', None)
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if connector is None or not hasattr(connector, 'notify_plugin_diagnostic'):
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return
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for source in plugin_refs:
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payload = _build_delivery_failure_payload(
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plugin_ref=source.plugin,
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event_name=source.event_name,
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is_approximate=source.is_approximate,
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query=query,
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response_index=response_index,
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message_chain=message_chain,
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error=error,
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)
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try:
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await connector.notify_plugin_diagnostic(payload)
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except Exception as diag_error:
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_debug(ap, f'Plugin diagnostic forwarding failed: {diag_error}')
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except Exception as diag_error:
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_debug(ap, f'Plugin diagnostic forwarding skipped: {diag_error}')
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def get_emitted_plugins(event_ctx: Any) -> list[dict[str, Any]]:
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emitted_plugins = getattr(event_ctx, '_emitted_plugins', [])
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return emitted_plugins if isinstance(emitted_plugins, list) else []
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def get_response_sources(event_ctx: Any) -> list[dict[str, Any]] | None:
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event_attrs = vars(event_ctx)
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if '_response_sources' not in event_attrs:
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return None
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response_sources = event_attrs['_response_sources']
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return response_sources if isinstance(response_sources, list) else []
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def _get_or_create_query_state(query: pipeline_query.Query) -> QueryDiagnosticState:
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query_key = id(query)
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state = _QUERY_STATES.get(query_key)
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if state is not None:
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return state
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state = QueryDiagnosticState()
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try:
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state.finalizer = weakref.finalize(query, _discard_query_state, query_key)
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except TypeError:
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state.finalizer = None
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_QUERY_STATES[query_key] = state
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return state
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def _get_query_state(query: pipeline_query.Query) -> QueryDiagnosticState | None:
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return _QUERY_STATES.get(id(query))
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def _discard_query_state(query_key: int) -> None:
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_QUERY_STATES.pop(query_key, None)
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def _discard_query_state_if_empty(query: pipeline_query.Query) -> None:
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query_key = id(query)
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state = _QUERY_STATES.get(query_key)
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if state is None:
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return
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if state.pending_by_chain_id or state.by_response_index:
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return
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if state.finalizer is not None:
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state.finalizer.detach()
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_discard_query_state(query_key)
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def _get_response_sources(
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query: pipeline_query.Query,
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response_index: int,
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) -> list[PluginResponseSource]:
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state = _get_query_state(query)
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if state is None:
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return []
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return state.by_response_index.get(response_index, [])
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def _extract_plugin_ref(plugin: Any) -> dict[str, str] | None:
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manifest = plugin.get('manifest') if isinstance(plugin, dict) else None
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metadata = manifest.get('metadata') if isinstance(manifest, dict) else None
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if not isinstance(metadata, dict):
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return None
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author = metadata.get('author')
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name = metadata.get('name')
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if not author or not name:
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return None
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return {'author': str(author), 'name': str(name)}
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def _extract_response_source_plugin_ref(source: Any) -> dict[str, str] | None:
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if not isinstance(source, dict):
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return None
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if source.get('kind') != 'reply_message_chain':
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return None
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plugin_ref = source.get('plugin')
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if not isinstance(plugin_ref, dict):
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return None
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author = plugin_ref.get('author')
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name = plugin_ref.get('name')
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if not author or not name:
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return None
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return {'author': str(author), 'name': str(name)}
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def _build_plugin_sources(
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response_sources: list[dict[str, Any]] | None,
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emitted_plugins: list[dict[str, Any]] | None,
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event_name: str | None,
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) -> list[PluginResponseSource]:
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if response_sources is not None:
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plugin_refs = [_extract_response_source_plugin_ref(source) for source in response_sources]
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return [
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PluginResponseSource(plugin=plugin, event_name=event_name) for plugin in plugin_refs if plugin is not None
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]
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if emitted_plugins:
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plugin_refs = [_extract_plugin_ref(plugin) for plugin in emitted_plugins]
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return [
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PluginResponseSource(plugin=plugin, event_name=event_name, is_approximate=True)
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for plugin in plugin_refs
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if plugin is not None
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]
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return []
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def _debug(ap: Any, message: str) -> None:
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logger = getattr(ap, 'logger', None)
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if logger is not None:
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logger.debug(message)
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def _build_delivery_failure_payload(
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plugin_ref: dict[str, str],
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event_name: str | None,
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is_approximate: bool,
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query: pipeline_query.Query,
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response_index: int,
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message_chain: platform_message.MessageChain,
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error: Exception,
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) -> dict[str, Any]:
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details: dict[str, Any] = {
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'message_component_types': [component.__class__.__name__ for component in message_chain],
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'message_preview': str(message_chain)[:200],
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}
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if is_approximate:
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details['attribution_warning'] = (
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'This diagnostic was delivered to all plugins that handled the event because the '
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'plugin runtime did not report the exact reply_message_chain source.'
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)
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return {
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'level': 'ERROR',
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'code': 'response_delivery_failed',
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'message': 'Failed to deliver a plugin-provided response message.',
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'plugin': plugin_ref,
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'query': {
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'query_id': query.query_id,
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'event_name': event_name or query.message_event.__class__.__name__,
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'stage': query.current_stage_name or 'SendResponseBackStage',
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'response_index': response_index,
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},
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'details': details,
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'delivery': {
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'error_type': error.__class__.__name__,
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'error_message': str(error),
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'traceback': traceback.format_exception_only(type(error), error)[-1].strip(),
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},
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}
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@@ -9,6 +9,7 @@ from datetime import datetime
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from .. import handler
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from ... import entities
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from ... import plugin_diagnostics
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from ....provider import runner as runner_module
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import langbot_plugin.api.entities.events as events
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@@ -58,6 +59,13 @@ class ChatMessageHandler(handler.MessageHandler):
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if event_ctx.is_prevented_default():
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if event_ctx.event.reply_message_chain is not None:
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mc = event_ctx.event.reply_message_chain
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plugin_diagnostics.record_pending_plugin_response_source(
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query,
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mc,
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plugin_diagnostics.get_response_sources(event_ctx),
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plugin_diagnostics.get_emitted_plugins(event_ctx),
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event.event_name,
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)
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query.resp_messages.append(mc)
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yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
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@@ -4,6 +4,7 @@ import typing
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from .. import handler
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from ... import entities
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from ... import plugin_diagnostics
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import langbot_plugin.api.entities.builtin.provider.message as provider_message
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import langbot_plugin.api.entities.builtin.provider.session as provider_session
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import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
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@@ -52,6 +53,13 @@ class CommandHandler(handler.MessageHandler):
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if event_ctx.is_prevented_default():
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if event_ctx.event.reply_message_chain is not None:
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mc = event_ctx.event.reply_message_chain
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plugin_diagnostics.record_pending_plugin_response_source(
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query,
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mc,
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plugin_diagnostics.get_response_sources(event_ctx),
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plugin_diagnostics.get_emitted_plugins(event_ctx),
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event.event_name,
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)
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query.resp_messages.append(mc)
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@@ -9,6 +9,7 @@ import langbot_plugin.api.entities.builtin.platform.message as platform_message
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import langbot_plugin.api.entities.builtin.provider.message as provider_message
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from .. import stage, entities
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from .. import plugin_diagnostics
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import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
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@@ -39,20 +40,35 @@ class SendResponseBackStage(stage.PipelineStage):
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has_chunks = any(isinstance(msg, provider_message.MessageChunk) for msg in query.resp_messages)
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# TODO 命令与流式的兼容性问题
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if await query.adapter.is_stream_output_supported() and has_chunks:
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is_final = [msg.is_final for msg in query.resp_messages][0]
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await query.adapter.reply_message_chunk(
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message_source=query.message_event,
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bot_message=query.resp_messages[-1],
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message=query.resp_message_chain[-1],
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quote_origin=quote_origin,
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is_final=is_final,
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)
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else:
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await query.adapter.reply_message(
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message_source=query.message_event,
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message=query.resp_message_chain[-1],
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quote_origin=quote_origin,
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response_index = len(query.resp_message_chain) - 1
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message_chain = query.resp_message_chain[-1]
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try:
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if await query.adapter.is_stream_output_supported() and has_chunks:
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is_final = [msg.is_final for msg in query.resp_messages][0]
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await query.adapter.reply_message_chunk(
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message_source=query.message_event,
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bot_message=query.resp_messages[-1],
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message=message_chain,
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quote_origin=quote_origin,
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is_final=is_final,
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)
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else:
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await query.adapter.reply_message(
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message_source=query.message_event,
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message=message_chain,
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quote_origin=quote_origin,
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)
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except Exception as e:
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await plugin_diagnostics.notify_response_delivery_failure(
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self.ap,
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query,
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response_index,
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message_chain,
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e,
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)
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plugin_diagnostics.clear_response_source(query, response_index)
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raise
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plugin_diagnostics.clear_response_source(query, response_index)
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return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
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@@ -3,6 +3,7 @@ from __future__ import annotations
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import typing
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from .. import entities
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from .. import plugin_diagnostics
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from .. import stage
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import langbot_plugin.api.entities.builtin.platform.message as platform_message
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@@ -78,6 +79,11 @@ class ResponseWrapper(stage.PipelineStage):
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# 如果 resp_messages[-1] 已经是 MessageChain 了
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if isinstance(query.resp_messages[-1], platform_message.MessageChain):
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query.resp_message_chain.append(query.resp_messages[-1])
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plugin_diagnostics.consume_pending_plugin_response_source(
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query,
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query.resp_messages[-1],
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len(query.resp_message_chain) - 1,
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)
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yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
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@@ -129,8 +135,10 @@ class ResponseWrapper(stage.PipelineStage):
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else:
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if event_ctx.event.reply_message_chain is not None:
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reply_chain = event_ctx.event.reply_message_chain
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is_plugin_reply = True
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else:
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reply_chain = result.get_content_platform_message_chain()
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is_plugin_reply = False
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# Attach files the agent produced in the sandbox
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# outbox, but only on the terminal assistant message.
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@@ -138,6 +146,13 @@ class ResponseWrapper(stage.PipelineStage):
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await self._append_outbound_attachments(query, reply_chain)
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query.resp_message_chain.append(reply_chain)
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if is_plugin_reply:
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plugin_diagnostics.record_last_plugin_response_source(
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query,
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plugin_diagnostics.get_response_sources(event_ctx),
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plugin_diagnostics.get_emitted_plugins(event_ctx),
|
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event.event_name,
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)
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yield entities.StageProcessResult(
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result_type=entities.ResultType.CONTINUE,
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@@ -180,6 +195,12 @@ class ResponseWrapper(stage.PipelineStage):
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else:
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if event_ctx.event.reply_message_chain is not None:
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query.resp_message_chain.append(event_ctx.event.reply_message_chain)
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plugin_diagnostics.record_last_plugin_response_source(
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query,
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plugin_diagnostics.get_response_sources(event_ctx),
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plugin_diagnostics.get_emitted_plugins(event_ctx),
|
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event.event_name,
|
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)
|
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else:
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query.resp_message_chain.append(
|
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@@ -737,6 +737,8 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
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event_ctx = context.EventContext.from_event(event)
|
||||
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if not self.is_enable_plugin:
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event_ctx._emitted_plugins = []
|
||||
event_ctx._response_sources = []
|
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return event_ctx
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|
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# Pass include_plugins to runtime for filtering
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@@ -745,9 +747,21 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
|
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)
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||||
|
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event_ctx = context.EventContext.model_validate(event_ctx_result['event_context'])
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event_ctx._emitted_plugins = event_ctx_result.get('emitted_plugins', [])
|
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if 'response_sources' in event_ctx_result:
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event_ctx._response_sources = event_ctx_result['response_sources']
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||||
return event_ctx
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|
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async def notify_plugin_diagnostic(self, diagnostic: dict[str, Any]) -> None:
|
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"""Best-effort diagnostic forwarding to the plugin runtime."""
|
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if not self.is_enable_plugin:
|
||||
return
|
||||
try:
|
||||
await self.handler.notify_plugin_diagnostic(diagnostic)
|
||||
except Exception as e:
|
||||
self.ap.logger.debug(f'Plugin diagnostic forwarding skipped: {e}')
|
||||
|
||||
async def list_tools(self, bound_plugins: list[str] | None = None) -> list[ComponentManifest]:
|
||||
if not self.is_enable_plugin:
|
||||
return []
|
||||
|
||||
@@ -26,6 +26,15 @@ from ..core import app
|
||||
from ..utils import constants
|
||||
|
||||
|
||||
class _RawAction:
|
||||
def __init__(self, value: str):
|
||||
self.value = value
|
||||
|
||||
|
||||
def _langbot_to_runtime_action(enum_name: str, fallback_value: str) -> Any:
|
||||
return getattr(LangBotToRuntimeAction, enum_name, _RawAction(fallback_value))
|
||||
|
||||
|
||||
def _make_rag_error_response(error: Exception, error_type: str, **extra_context) -> handler.ActionResponse:
|
||||
"""Create a clean error response for RAG operations.
|
||||
|
||||
@@ -923,6 +932,18 @@ class RuntimeConnectionHandler(handler.Handler):
|
||||
|
||||
return result
|
||||
|
||||
async def notify_plugin_diagnostic(self, diagnostic: dict[str, Any]) -> dict[str, Any]:
|
||||
"""Notify the plugin runtime about a best-effort plugin diagnostic.
|
||||
|
||||
This intentionally uses the raw protocol string instead of a SDK enum so
|
||||
LangBot can keep running with older langbot-plugin versions.
|
||||
"""
|
||||
return await self.call_action(
|
||||
_langbot_to_runtime_action('PLUGIN_DIAGNOSTIC', 'plugin_diagnostic'),
|
||||
diagnostic,
|
||||
timeout=5,
|
||||
)
|
||||
|
||||
async def list_tools(self, include_plugins: list[str] | None = None) -> list[dict[str, Any]]:
|
||||
"""List tools"""
|
||||
result = await self.call_action(
|
||||
|
||||
Reference in New Issue
Block a user