feat: support 3.8

remove langsmith depend

README.md

@@ -34,6 +34,9 @@
 - [ ] 支持 HTTP SPARK API
 - [ ] 支持大模型多模态等能力
 - [ ] Golang版本[SDK](https://github.com/iflytek/spark-ai-go/)进行中
+- [ ] 对接 [liteLLM](https://github.com/BerriAI/litellm)
+
+
 ## 安装
 
 如果你不需要源码，只需要通过 `pip `快速安装

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "spark-ai-python"
-version = "0.3.2"
+version = "0.3.3"
 description = "a sdk for iflytek's spark LLM."
 authors = ["whybeyoung <ybyang7@iflytek.com>","mingduan <mingduan@iflytek.com>"]
 license = "MIT"
@@ -10,7 +10,7 @@ packages = [
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.10"
+python = ">=3.8"
 aiohttp = ">3.3"
 fastapi = {extras = ["all"], version = "^0.110.0"}
 requests = "*"
@@ -21,7 +21,6 @@ nest_asyncio = "*"
 uvicorn = ">=0.26.0"
 packaging = "*"
 tenacity = "*"
-langsmith = "*"
 jsonpatch = "*"
 
 [tool.pytest.ini_options]

sparkai/core/callbacks/manager.py

@@ -1155,13 +1155,6 @@ def _configure(
     Returns:
         T: The configured callback manager.
     """
-    from  sparkai.core.tracers.context import (
-        _configure_hooks,
-        _get_tracer_project,
-        _tracing_v2_is_enabled,
-        tracing_callback_var,
-        tracing_v2_callback_var,
-    )
 
     run_tree = None
     parent_run_id = None if run_tree is None else getattr(run_tree, "id")
@@ -1198,18 +1191,8 @@ def _configure(
         callback_manager.add_metadata(inheritable_metadata or {})
         callback_manager.add_metadata(local_metadata or {}, False)
 
-    tracer = tracing_callback_var.get()
-    tracing_enabled_ = (
-        env_var_is_set("LANGCHAIN_TRACING")
-        or tracer is not None
-        or env_var_is_set("LANGCHAIN_HANDLER")
-    )
-
-    tracer_v2 = tracing_v2_callback_var.get()
-    tracing_v2_enabled_ = _tracing_v2_is_enabled()
-    tracer_project = _get_tracer_project()
     debug = _get_debug()
-    if verbose or debug or tracing_enabled_ or tracing_v2_enabled_:
+    if verbose or debug :
         from sparkai.core.tracers.langchain import LangChainTracer
         from sparkai.core.tracers.langchain_v1 import LangChainTracerV1
         from sparkai.core.tracers.stdout import ConsoleCallbackHandler
@@ -1227,51 +1210,5 @@ def _configure(
             for handler in callback_manager.handlers
         ):
             callback_manager.add_handler(ConsoleCallbackHandler(), True)
-        if tracing_enabled_ and not any(
-            isinstance(handler, LangChainTracerV1)
-            for handler in callback_manager.handlers
-        ):
-            if tracer:
-                callback_manager.add_handler(tracer, True)
-            else:
-                handler = LangChainTracerV1()
-                handler.load_session(tracer_project)
-                callback_manager.add_handler(handler, True)
-        if tracing_v2_enabled_ and not any(
-            isinstance(handler, LangChainTracer)
-            for handler in callback_manager.handlers
-        ):
-            if tracer_v2:
-                callback_manager.add_handler(tracer_v2, True)
-            else:
-                try:
-                    handler = LangChainTracer(project_name=tracer_project)
-                    callback_manager.add_handler(handler, True)
-                except Exception as e:
-                    logger.warning(
-                        "Unable to load requested LangChainTracer."
-                        " To disable this warning,"
-                        " unset the LANGCHAIN_TRACING_V2 environment variables.",
-                        e,
-                    )
-    for var, inheritable, handler_class, env_var in _configure_hooks:
-        create_one = (
-            env_var is not None
-            and env_var_is_set(env_var)
-            and handler_class is not None
-        )
-        if var.get() is not None or create_one:
-            var_handler = var.get() or cast(Type[BaseCallbackHandler], handler_class)()
-            if handler_class is None:
-                if not any(
-                    handler is var_handler  # direct pointer comparison
-                    for handler in callback_manager.handlers
-                ):
-                    callback_manager.add_handler(var_handler, inheritable)
-            else:
-                if not any(
-                    isinstance(handler, handler_class)
-                    for handler in callback_manager.handlers
-                ):
-                    callback_manager.add_handler(var_handler, inheritable)
+
     return callback_manager

sparkai/core/tracers/__init__.py

@@ -13,7 +13,6 @@
     "EvaluatorCallbackHandler",
     "LangChainTracer",
     "ConsoleCallbackHandler",
-    "Run",
     "RunLog",
     "RunLogPatch",
     "LogStreamCallbackHandler",
@@ -27,5 +26,4 @@
     RunLog,
     RunLogPatch,
 )
-from sparkai.core.tracers.schemas import Run
 from sparkai.core.tracers.stdout import ConsoleCallbackHandler

sparkai/core/tracers/schemas.py

@@ -6,23 +6,12 @@
 from typing import Any, Dict, List, Optional, Type
 from uuid import UUID
 
-from langsmith.schemas import RunBase as BaseRunV2
-from langsmith.schemas import RunTypeEnum as RunTypeEnumDep
 
 from sparkai.core._api import deprecated
 from sparkai.core.outputs import LLMResult
 from sparkai.core.pydantic_v1 import BaseModel, Field, root_validator
 
 
-@deprecated("0.1.0", alternative="Use string instead.", removal="0.2.0")
-def RunTypeEnum() -> Type[RunTypeEnumDep]:
-    """RunTypeEnum."""
-    warnings.warn(
-        "RunTypeEnum is deprecated. Please directly use a string instead"
-        " (e.g. 'llm', 'chain', 'tool').",
-        DeprecationWarning,
-    )
-    return RunTypeEnumDep
 
 
 @deprecated("0.1.0", removal="0.2.0")
@@ -110,40 +99,12 @@ class ToolRun(BaseRun):
 # Begin V2 API Schemas
 
 
-class Run(BaseRunV2):
-    """Run schema for the V2 API in the Tracer."""
 
-    execution_order: int
-    child_execution_order: int
-    child_runs: List[Run] = Field(default_factory=list)
-    tags: Optional[List[str]] = Field(default_factory=list)
-    events: List[Dict[str, Any]] = Field(default_factory=list)
-    trace_id: Optional[UUID] = None
-    dotted_order: Optional[str] = None
-
-    @root_validator(pre=True)
-    def assign_name(cls, values: dict) -> dict:
-        """Assign name to the run."""
-        if values.get("name") is None:
-            if "name" in values["serialized"]:
-                values["name"] = values["serialized"]["name"]
-            elif "id" in values["serialized"]:
-                values["name"] = values["serialized"]["id"][-1]
-        if values.get("events") is None:
-            values["events"] = []
-        return values
-
-
-ChainRun.update_forward_refs()
-ToolRun.update_forward_refs()
-Run.update_forward_refs()
 
 __all__ = [
     "BaseRun",
     "ChainRun",
     "LLMRun",
-    "Run",
-    "RunTypeEnum",
     "ToolRun",
     "TracerSession",
     "TracerSessionBase",