Chore/bump langchain version

docs/guides/publish_petercat-utils.md

@@ -24,8 +24,17 @@ npm run build:pypi
 
 Make sure your have the latest version of twine installed:
 
+> Uploading distributions to https://upload.pypi.org/legacy/
+ERROR    InvalidDistribution: Metadata is missing required fields: Name, Version.
+         Make sure the distribution includes the files where those fields are
+         specified, and is using a supported Metadata-Version: 1.0, 1.1, 1.2,
+         2.0, 2.1, 2.2.
+
+Once the error occurs, ensure that the Twine version is 6.0.1.
+For more details, refer to the issue here: https://github.com/pypi/warehouse/issues/15611.
+
 ```bash
-pip install twine
+pip install twine==6.0.1
 ```
 
 Publish it:

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "petercat_utils"
-version = "0.1.41"
+version = "0.1.42"
 description = ""
 authors = ["raoha.rh <raohai.rh@antgroup.com>"]
 readme = "README.md"
@@ -22,10 +22,10 @@ md_report_color = "auto"
 
 [tool.poetry.dependencies]
 python = "^3.9"
-langchain_community = "^0.2.11"
-langchain_openai = "^0.1.20"
-langchain_core = "^0.2.28"
-langchain = "^0.2.12"
+langchain_community = ">=0.3,<0.4"
+langchain_openai = "0.3.3"
+langchain_core = ">=0.3,<0.4"
+langchain = ">=0.3,<0.4"
 supabase = "2.6.0"
 pydantic = ">=2.7.0,<3"
 PyGithub = "2.3.0"

server/agent/llm/clients/deepseek.py

@@ -45,5 +45,4 @@ def get_tools(self, tools: List[Any]):
         return [convert_to_openai_tool(tool) for tool in tools]
 
     def parse_content(self, content: List[MessageContent]):
-        print(f"parse_conent, content={content}")
-        return content
+        return [c.model_dump() for c in content]

server/agent/llm/clients/gemini.py

@@ -17,6 +17,8 @@ def parse_gemini_input(message: MessageContent):
             return ImageRawURLContentBlock(
                 image_url=message.image_url.url, type="image_url"
             )
+        case "text":
+            return message.model_dump()
         case _:
             return message
 
@@ -51,6 +53,4 @@ def get_tools(self, tools: List[Any]):
         return [convert_to_genai_function_declarations(tool) for tool in tools]
 
     def parse_content(self, content: List[MessageContent]):
-        result = [parse_gemini_input(message=message) for message in content]
-        print(f"parse_content, content={content}, result={result}")
-        return result
+        return [parse_gemini_input(message=message) for message in content]

server/agent/llm/clients/openai.py

@@ -42,4 +42,4 @@ def get_tools(self, tools: List[Any]):
         return [convert_to_openai_tool(tool) for tool in tools]
 
     def parse_content(self, content: List[MessageContent]):
-        return content
+        return [c.model_dump() for c in content]

server/requirements.txt

@@ -4,8 +4,8 @@ python-dotenv==1.0.0
 openai
 mangum
 langserve
-langchain_community>=0.2.11
-langchain>=0.2.12
+langchain_community>=0.3,<0.4
+langchain>=0.3,<0.4
 langchain_google_genai
 PyGithub==2.3.0
 GitPython>=3.1.43
@@ -27,5 +27,5 @@ requests
 pytest
 httpx
 urllib3>=2.2.2
-petercat_utils>=0.1.36
+petercat_utils>=0.1.42
 toolz