Bump version: 1.1.29 → 1.1.30

Author: Knucklessg1

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 1.1.29
+current_version = 1.1.30
 commit = True
 tag = True
 

Dockerfile

@@ -54,6 +54,6 @@ ENV HOST=${HOST} \
 RUN apt-get update \
     && apt-get install -y ripgrep tree fd-find curl nano libpq-dev \
     && curl -LsSf https://astral.sh/uv/install.sh | sh \
-    && uv pip install --system --upgrade --verbose --no-cache --break-system-packages --prerelease=allow vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,huggingface,agent]>=1.1.29
+    && uv pip install --system --upgrade --verbose --no-cache --break-system-packages --prerelease=allow vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,huggingface,agent]>=1.1.30
 
 CMD ["vector-mcp"]

README.md

@@ -21,7 +21,7 @@
 ![PyPI - Wheel](https://img.shields.io/pypi/wheel/vector-mcp)
 ![PyPI - Implementation](https://img.shields.io/pypi/implementation/vector-mcp)
 
-*Version: 1.1.29*
+*Version: 1.1.30*
 
 ## Overview
 

pyproject.toml

@@ -1,18 +1,18 @@
 [build-system]
-requires = [ "setuptools>=80.9.0", "wheel",]
+requires = [ "setuptools>=80.9.0", "wheel"]
 build-backend = "setuptools.build_meta"
 
 [project]
 name = "vector-mcp"
-version = "1.1.29"
+version = "1.1.30"
 description = "Integrate RAG into AI Agents via MCP Server. Supports multiple Vector database technologies."
 readme = "README.md"
 authors = [{ name = "Audel Rouhi", email = "knucklessg1@gmail.com" }]
 license = { text = "MIT" }
-classifiers = [ "Development Status :: 5 - Production/Stable", "License :: Public Domain", "Environment :: Console", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 3",]
+classifiers = [ "Development Status :: 5 - Production/Stable", "License :: Public Domain", "Environment :: Console", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 3"]
 requires-python = ">=3.10"
 dependencies = [
-    "agent-utilities[embeddings-openai,mcp]>=0.2.11",
+    "agent-utilities[embeddings-openai,mcp]>=0.2.12",
     "chromadb>=1.5.1",
     "markdownify>=1.2.2",
     "beautifulsoup4>=4.14.3",
@@ -24,43 +24,35 @@ dependencies = [
     "llama-index-core>=0.14.15",
     "llama-index-llms-langchain>=0.7.2",
     "llama-index-vector-stores-chroma>=0.5.5",
-    "llama-index-readers-file>=0.5.6",
-]
+    "llama-index-readers-file>=0.5.6"]
 
 [project.optional-dependencies]
 postgres = [
     "psycopg>=3.3.3",
-    "llama-index-vector-stores-postgres>=0.7.3",
-]
+    "llama-index-vector-stores-postgres>=0.7.3"]
 chromadb = [
     "chromadb>=1.5.1",
     "llama-index-vector-stores-chroma>=0.5.5",
     "opentelemetry-api>=1.39.1",
     "opentelemetry-sdk>=1.39.1",
-    "opentelemetry-exporter-otlp>=1.39.1",
-]
+    "opentelemetry-exporter-otlp>=1.39.1"]
 couchbase = [
     "couchbase>=4.5.0",
-    "llama-index-vector-stores-couchbase>=0.6.0",
-]
+    "llama-index-vector-stores-couchbase>=0.6.0"]
 qdrant = [
     "qdrant-client>=1.16.2",
     "fastembed>=0.7.4",
-    "llama-index-vector-stores-qdrant>=0.9.1",
-]
+    "llama-index-vector-stores-qdrant>=0.9.1"]
 mongodb = [
     "pymongo>=4.16.0",
-    "llama-index-vector-stores-mongodb>=0.9.1",
-]
+    "llama-index-vector-stores-mongodb>=0.9.1"]
 huggingface = [
     "llama-index-embeddings-huggingface>=0.6.1",
-    "sentence_transformers>=5.2.2",
-]
+    "sentence_transformers>=5.2.2"]
 agent = [
-    "agent-utilities[agent,logfire]>=0.2.11",
-]
+    "agent-utilities[agent,logfire]>=0.2.12"]
 all = [
-    "vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,huggingface,agent]>=1.1.29"
+    "vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,huggingface,agent]>=1.1.30"
 ]
 
 [project.scripts]
@@ -71,7 +63,7 @@ vector-agent = "vector_mcp.agent:agent_server"
 include-package-data = true
 
 [tool.setuptools.package-data]
-vector_mcp = [ "mcp_config.json", "skills/**", "agent/**",]
+vector_mcp = [ "mcp_config.json", "agent/**"]
 
 [tool.setuptools.packages.find]
-where = [ ".",]
+where = [ "."]

vector_mcp/agent.py

@@ -12,7 +12,7 @@
     load_identity,
 )
 
-__version__ = "1.1.29"
+__version__ = "1.1.30"
 
 logging.basicConfig(
     level=logging.INFO,