Merge branch '0.6_dev_tc' of github.com:OpenSPG/KAG into 0.6_dev_tc

kag/common/llm/llm_config_checker.py

@@ -37,7 +37,6 @@ def check(self, config: str) -> str:
         llm_client = LLMClient.from_config(config)
         try:
             res = llm_client("who are you?")
-            print(res)
             return res
         except Exception as ex:
             raise RuntimeError(f"invalid llm config: {config}, for details: {ex}")

kag/common/registry/registrable.py

@@ -812,9 +812,7 @@ def from_config(
             logger.warn(f"Failed to initialize class {cls}, info: {e}")
             raise e
         if len(params) > 0:
-            raise ConfigurationError(
-                f"These params are not used for constructing {cls}:\n{params}"
-            )
+            logger.warn(f"These params are not used for constructing {cls}:\n{params}")
 
         return instant
 

kag/solver/plan/default_lf_planner.py

@@ -87,7 +87,6 @@ def _parse_lf(self, question, sub_querys, logic_forms) -> List[LFPlan]:
             sub_querys = []
         # process sub query
         sub_querys = [ self._process_output_query(question, q) for q in sub_querys]
-
         parsed_logic_nodes = self.parser.parse_logic_form_set(
             logic_forms, sub_querys, question
         )

knext/command/sub_command/project.py

@@ -9,6 +9,7 @@
 # Unless required by applicable law or agreed to in writing, software distributed under the License
 # is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
 # or implied.
+import kag_ant
 from collections import OrderedDict
 import re
 import json
@@ -216,11 +217,11 @@ def update_project(proj_path):
     llm_config_checker = LLMConfigChecker()
     vectorize_model_config_checker = VectorizeModelConfigChecker()
     llm_config = env.config.get("chat_llm", {})
-    vectorize_model_config = env.config.get("vectorize_model", {})
+    vectorize_model_config = env.config.get("vectorizer", {})
     try:
         llm_config_checker.check(json.dumps(llm_config))
-        print(json.dumps(llm_config))
-        vectorize_model_config_checker.check(json.dumps(vectorize_model_config))
+        dim = vectorize_model_config_checker.check(json.dumps(vectorize_model_config))
+        env.config["vectorizer"]["vector_dimensions"] = dim
     except Exception as e:
         click.secho(f"Error: {e}", fg="bright_red")
         sys.exit()