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Code Issues Packages Projects Releases Wiki Activity

feat: model fallback chain (#2017) (#2018)

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This commit is contained in:
Junyan Chin
2026-03-12 03:33:05 +08:00
committed by GitHub
parent 89064a9d5b
commit 79311ccde3
15 changed files with 534 additions and 113 deletions
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src/langbot/pkg/pipeline/preproc/preproc.py
+46 -19
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@@ -36,17 +36,36 @@ class PreProcessor(stage.PipelineStage):
session = await self.ap.sess_mgr.get_session(query)
# When not local-agent, llm_model is None
try:
llm_model = (
await self.ap.model_mgr.get_model_by_uuid(query.pipeline_config['ai']['local-agent']['model'])
if selected_runner == 'local-agent'
else None
)
except ValueError:
self.ap.logger.warning(
f'LLM model {query.pipeline_config["ai"]["local-agent"]["model"] + " "}not found or not configured'
)
llm_model = None
llm_model = None
if selected_runner == 'local-agent':
# Read model config — new format is { primary: str, fallbacks: [str] },
# but handle legacy plain string for backward compatibility
model_config = query.pipeline_config['ai']['local-agent'].get('model', {})
if isinstance(model_config, str):
# Legacy format: plain UUID string
primary_uuid = model_config
fallback_uuids = []
else:
primary_uuid = model_config.get('primary', '')
fallback_uuids = model_config.get('fallbacks', [])
if primary_uuid:
try:
llm_model = await self.ap.model_mgr.get_model_by_uuid(primary_uuid)
except ValueError:
self.ap.logger.warning(f'LLM model {primary_uuid} not found or not configured')
# Resolve fallback model UUIDs
if fallback_uuids:
valid_fallbacks = []
for fb_uuid in fallback_uuids:
try:
await self.ap.model_mgr.get_model_by_uuid(fb_uuid)
valid_fallbacks.append(fb_uuid)
except ValueError:
self.ap.logger.warning(f'Fallback model {fb_uuid} not found, skipping')
if valid_fallbacks:
query.variables['_fallback_model_uuids'] = valid_fallbacks
conversation = await self.ap.sess_mgr.get_conversation(
query,
@@ -61,20 +80,28 @@ class PreProcessor(stage.PipelineStage):
query.prompt = conversation.prompt.copy()
query.messages = conversation.messages.copy()
if selected_runner == 'local-agent' and llm_model:
if selected_runner == 'local-agent':
query.use_funcs = []
query.use_llm_model_uuid = llm_model.model_entity.uuid
if llm_model:
query.use_llm_model_uuid = llm_model.model_entity.uuid
if llm_model.model_entity.abilities.__contains__('func_call'):
# Get bound plugins and MCP servers for filtering tools
if llm_model.model_entity.abilities.__contains__('func_call'):
# Get bound plugins and MCP servers for filtering tools
bound_plugins = query.variables.get('_pipeline_bound_plugins', None)
bound_mcp_servers = query.variables.get('_pipeline_bound_mcp_servers', None)
query.use_funcs = await self.ap.tool_mgr.get_all_tools(bound_plugins, bound_mcp_servers)
self.ap.logger.debug(f'Bound plugins: {bound_plugins}')
self.ap.logger.debug(f'Bound MCP servers: {bound_mcp_servers}')
self.ap.logger.debug(f'Use funcs: {query.use_funcs}')
# If primary model doesn't support func_call but fallback models exist,
# load tools anyway since fallback models may support them
if not query.use_funcs and query.variables.get('_fallback_model_uuids'):
bound_plugins = query.variables.get('_pipeline_bound_plugins', None)
bound_mcp_servers = query.variables.get('_pipeline_bound_mcp_servers', None)
query.use_funcs = await self.ap.tool_mgr.get_all_tools(bound_plugins, bound_mcp_servers)
self.ap.logger.debug(f'Bound plugins: {bound_plugins}')
self.ap.logger.debug(f'Bound MCP servers: {bound_mcp_servers}')
self.ap.logger.debug(f'Use funcs: {query.use_funcs}')
sender_name = ''
if isinstance(query.message_event, platform_events.GroupMessage):