feat: switch Query to langbot-plugin definition

This commit is contained in:
Junyan Qin
2025-06-15 22:04:31 +08:00
parent 0c2560cafb
commit 6b782f8761
88 changed files with 248 additions and 348 deletions
+1 -1
View File
@@ -2,7 +2,7 @@ from __future__ import annotations
import typing
import pydantic.v1 as pydantic
import pydantic
from . import requester
from . import token
+2 -2
View File
@@ -4,11 +4,11 @@ import abc
import typing
from ...core import app
from ...core import entities as core_entities
from .. import entities as llm_entities
from ...entity.persistence import model as persistence_model
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
from . import token
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
class RuntimeLLMModel:
@@ -56,7 +56,7 @@ class LLMAPIRequester(metaclass=abc.ABCMeta):
@abc.abstractmethod
async def invoke_llm(
self,
query: core_entities.Query,
query: pipeline_query.Query,
model: RuntimeLLMModel,
messages: typing.List[llm_entities.Message],
funcs: typing.List[resource_tool.LLMTool] = None,
@@ -9,10 +9,10 @@ import httpx
from .. import errors, requester
from ....core import entities as core_entities
from ... import entities as llm_entities
from ....utils import image
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
class AnthropicMessages(requester.LLMAPIRequester):
@@ -48,7 +48,7 @@ class AnthropicMessages(requester.LLMAPIRequester):
async def invoke_llm(
self,
query: core_entities.Query,
query: pipeline_query.Query,
model: requester.RuntimeLLMModel,
messages: typing.List[llm_entities.Message],
funcs: typing.List[resource_tool.LLMTool] = None,
+3 -3
View File
@@ -8,9 +8,9 @@ import openai.types.chat.chat_completion as chat_completion
import httpx
from .. import errors, requester
from ....core import entities as core_entities
from ... import entities as llm_entities
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
class OpenAIChatCompletions(requester.LLMAPIRequester):
@@ -60,7 +60,7 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
async def _closure(
self,
query: core_entities.Query,
query: pipeline_query.Query,
req_messages: list[dict],
use_model: requester.RuntimeLLMModel,
use_funcs: list[resource_tool.LLMTool] = None,
@@ -101,7 +101,7 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
async def invoke_llm(
self,
query: core_entities.Query,
query: pipeline_query.Query,
model: requester.RuntimeLLMModel,
messages: typing.List[llm_entities.Message],
funcs: typing.List[resource_tool.LLMTool] = None,
@@ -4,9 +4,9 @@ import typing
from . import chatcmpl
from .. import errors, requester
from ....core import entities as core_entities
from ... import entities as llm_entities
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
@@ -19,7 +19,7 @@ class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
async def _closure(
self,
query: core_entities.Query,
query: pipeline_query.Query,
req_messages: list[dict],
use_model: requester.RuntimeLLMModel,
use_funcs: list[resource_tool.LLMTool] = None,
@@ -5,9 +5,9 @@ import typing
from . import chatcmpl
from .. import requester
from ....core import entities as core_entities
from ... import entities as llm_entities
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
class GiteeAIChatCompletions(chatcmpl.OpenAIChatCompletions):
@@ -20,7 +20,7 @@ class GiteeAIChatCompletions(chatcmpl.OpenAIChatCompletions):
async def _closure(
self,
query: core_entities.Query,
query: pipeline_query.Query,
req_messages: list[dict],
use_model: requester.RuntimeLLMModel,
use_funcs: list[resource_tool.LLMTool] = None,
@@ -9,9 +9,9 @@ import openai.types.chat.chat_completion_message_tool_call as chat_completion_me
import httpx
from .. import entities, errors, requester
from ....core import entities as core_entities
from ... import entities as llm_entities
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
class ModelScopeChatCompletions(requester.LLMAPIRequester):
@@ -125,7 +125,7 @@ class ModelScopeChatCompletions(requester.LLMAPIRequester):
async def _closure(
self,
query: core_entities.Query,
query: pipeline_query.Query,
req_messages: list[dict],
use_model: requester.RuntimeLLMModel,
use_funcs: list[resource_tool.LLMTool] = None,
@@ -166,7 +166,7 @@ class ModelScopeChatCompletions(requester.LLMAPIRequester):
async def invoke_llm(
self,
query: core_entities.Query,
query: pipeline_query.Query,
model: entities.LLMModelInfo,
messages: typing.List[llm_entities.Message],
funcs: typing.List[resource_tool.LLMTool] = None,
@@ -5,9 +5,9 @@ import typing
from . import chatcmpl
from .. import requester
from ....core import entities as core_entities
from ... import entities as llm_entities
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
class MoonshotChatCompletions(chatcmpl.OpenAIChatCompletions):
@@ -20,7 +20,7 @@ class MoonshotChatCompletions(chatcmpl.OpenAIChatCompletions):
async def _closure(
self,
query: core_entities.Query,
query: pipeline_query.Query,
req_messages: list[dict],
use_model: requester.RuntimeLLMModel,
use_funcs: list[resource_tool.LLMTool] = None,
@@ -12,7 +12,7 @@ import ollama
from .. import errors, requester
from ... import entities as llm_entities
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
from ....core import entities as core_entities
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
REQUESTER_NAME: str = 'ollama-chat'
@@ -39,7 +39,7 @@ class OllamaChatCompletions(requester.LLMAPIRequester):
async def _closure(
self,
query: core_entities.Query,
query: pipeline_query.Query,
req_messages: list[dict],
use_model: requester.RuntimeLLMModel,
use_funcs: list[resource_tool.LLMTool] = None,
@@ -105,7 +105,7 @@ class OllamaChatCompletions(requester.LLMAPIRequester):
async def invoke_llm(
self,
query: core_entities.Query,
query: pipeline_query.Query,
model: requester.RuntimeLLMModel,
messages: typing.List[llm_entities.Message],
funcs: typing.List[resource_tool.LLMTool] = None,