v0.11.4 (#15788)

CHANGELOG.md

@@ -1,5 +1,65 @@
 # ChangeLog
 
+## [2024-09-02]
+
+### `llama-index-core` [0.11.4]
+
+- Add mypy to core (#14883)
+- Fix incorrect instrumentation fields/types (#15752)
+- FunctionCallingAgent sources bug + light wrapper to create agent (#15783)
+- Add text to sql advanced workflow nb (#15775)
+- fix: remove context after streaming workflow to enable streaming again (#15776)
+- Fix chat memory persisting and loading methods to use correct JSON format (#15545)
+- Fix `_example_type` class var being read as private attr with Pydantic V2 (#15758)
+
+### `llama-index-embeddings-litellm` [0.2.1]
+
+- add dimensions param to LiteLLMEmbedding, fix a bug that prevents reading vars from env (#15770)
+
+### `llama-index-embeddings-upstage` [0.2.1]
+
+- Bugfix upstage embedding when initializing the UpstageEmbedding class (#15767)
+
+### `llama-index-embeddings-sagemaker-endpoint` [0.2.2]
+
+- Fix Sagemaker Field required issue (#15778)
+
+### `llama-index-graph-stores-falkordb` [0.2.1]
+
+- fix relations upsert with special chars (#15769)
+
+### `llama-index-graph-stores-neo4j` [0.3.1]
+
+- Add native vector index support for neo4j lpg and fix vector filters (#15759)
+
+### `llama-index-llms-azure-inference` [0.2.2]
+
+- fix: GitHub Models metadata retrieval (#15747)
+
+### `llama-index-llms-bedrock` [0.2.1]
+
+- Update `base.py` to fix `self` issues (#15729)
+
+### `llama-index-llms-ollama` [0.3.1]
+
+- add ollama response usage (#15773)
+
+### `llama-index-llms-sagemaker-endpoint` [0.2.2]
+
+- Fix Sagemaker Field required issue (#15778)
+
+### `llama-index-multi-modal-llms-anthropic` [0.2.1]
+
+- Support image type detection without knowing the file name (#15763)
+
+### `llama-index-vector-stores-milvus` [0.2.2]
+
+- feat: implement get_nodes for MilvusVectorStore (#15696)
+
+### `llama-index-vector-stores-tencentvectordb` [0.2.1]
+
+- fix: tencentvectordb inconsistent attribute name (#15733)
+
 ## [2024-08-29]
 
 ### `llama-index-core` [0.11.3]

docs/docs/CHANGELOG.md

@@ -1,5 +1,65 @@
 # ChangeLog
 
+## [2024-09-02]
+
+### `llama-index-core` [0.11.4]
+
+- Add mypy to core (#14883)
+- Fix incorrect instrumentation fields/types (#15752)
+- FunctionCallingAgent sources bug + light wrapper to create agent (#15783)
+- Add text to sql advanced workflow nb (#15775)
+- fix: remove context after streaming workflow to enable streaming again (#15776)
+- Fix chat memory persisting and loading methods to use correct JSON format (#15545)
+- Fix `_example_type` class var being read as private attr with Pydantic V2 (#15758)
+
+### `llama-index-embeddings-litellm` [0.2.1]
+
+- add dimensions param to LiteLLMEmbedding, fix a bug that prevents reading vars from env (#15770)
+
+### `llama-index-embeddings-upstage` [0.2.1]
+
+- Bugfix upstage embedding when initializing the UpstageEmbedding class (#15767)
+
+### `llama-index-embeddings-sagemaker-endpoint` [0.2.2]
+
+- Fix Sagemaker Field required issue (#15778)
+
+### `llama-index-graph-stores-falkordb` [0.2.1]
+
+- fix relations upsert with special chars (#15769)
+
+### `llama-index-graph-stores-neo4j` [0.3.1]
+
+- Add native vector index support for neo4j lpg and fix vector filters (#15759)
+
+### `llama-index-llms-azure-inference` [0.2.2]
+
+- fix: GitHub Models metadata retrieval (#15747)
+
+### `llama-index-llms-bedrock` [0.2.1]
+
+- Update `base.py` to fix `self` issues (#15729)
+
+### `llama-index-llms-ollama` [0.3.1]
+
+- add ollama response usage (#15773)
+
+### `llama-index-llms-sagemaker-endpoint` [0.2.2]
+
+- Fix Sagemaker Field required issue (#15778)
+
+### `llama-index-multi-modal-llms-anthropic` [0.2.1]
+
+- Support image type detection without knowing the file name (#15763)
+
+### `llama-index-vector-stores-milvus` [0.2.2]
+
+- feat: implement get_nodes for MilvusVectorStore (#15696)
+
+### `llama-index-vector-stores-tencentvectordb` [0.2.1]
+
+- fix: tencentvectordb inconsistent attribute name (#15733)
+
 ## [2024-08-29]
 
 ### `llama-index-core` [0.11.3]

docs/docs/api_reference/selectors/notdiamond.md

@@ -0,0 +1,4 @@
+::: llama_index.selectors.notdiamond
+    options:
+      members:
+        - NotDiamondSelector

docs/mkdocs.yml

@@ -475,6 +475,7 @@ nav:
           - ./examples/output_parsing/llm_program.ipynb
           - ./examples/output_parsing/lmformatenforcer_pydantic_program.ipynb
           - ./examples/output_parsing/lmformatenforcer_regular_expressions.ipynb
+          - ./examples/output_parsing/nvidia_output_parsing.ipynb
           - ./examples/output_parsing/openai_pydantic_program.ipynb
           - ./examples/output_parsing/openai_sub_question.ipynb
       - Param Optimizer:
@@ -655,6 +656,7 @@ nav:
           - ./examples/vector_stores/qdrant_hybrid.ipynb
       - Workflow:
           - ./examples/workflow/JSONalyze_query_engine.ipynb
+          - ./examples/workflow/advanced_text_to_sql.ipynb
           - ./examples/workflow/citation_query_engine.ipynb
           - ./examples/workflow/corrective_rag_pack.ipynb
           - ./examples/workflow/function_calling_agent.ipynb

llama-index-core/llama_index/core/__init__.py

@@ -1,6 +1,6 @@
 """Init file of LlamaIndex."""
 
-__version__ = "0.11.3"
+__version__ = "0.11.4"
 
 import logging
 from logging import NullHandler

llama-index-core/llama_index/core/agent/function_calling/step.py

@@ -375,9 +375,7 @@ def run_step(self, step: TaskStep, task: Task, **kwargs: Any) -> TaskStepOutput:
         except AttributeError:
             response_str = str(response)
 
-        agent_response = AgentChatResponse(
-            response=response_str, sources=task.extra_state["sources"]
-        )
+        agent_response = AgentChatResponse(response=response_str, sources=tool_outputs)
 
         return TaskStepOutput(
             output=agent_response,
@@ -470,9 +468,7 @@ async def arun_step(
         except AttributeError:
             response_str = str(response)
 
-        agent_response = AgentChatResponse(
-            response=response_str, sources=task.extra_state["sources"]
-        )
+        agent_response = AgentChatResponse(response=response_str, sources=tool_outputs)
 
         return TaskStepOutput(
             output=agent_response,

llama-index-core/llama_index/core/agent/runner/base.py

@@ -555,6 +555,7 @@ def finalize_response(
         step_output.output.sources = self.get_task(task_id).extra_state.get(
             "sources", []
         )
+        step_output.output.set_source_nodes()
 
         return cast(AGENT_CHAT_RESPONSE_TYPE, step_output.output)
 

llama-index-core/llama_index/core/chat_engine/types.py

@@ -54,12 +54,15 @@ class AgentChatResponse:
     is_dummy_stream: bool = False
     metadata: Optional[Dict[str, Any]] = None
 
-    def __post_init__(self) -> None:
+    def set_source_nodes(self) -> None:
         if self.sources and not self.source_nodes:
             for tool_output in self.sources:
                 if isinstance(tool_output.raw_output, (Response, StreamingResponse)):
                     self.source_nodes.extend(tool_output.raw_output.source_nodes)
 
+    def __post_init__(self) -> None:
+        self.set_source_nodes()
+
     def __str__(self) -> str:
         return self.response
 
@@ -116,12 +119,15 @@ class StreamingAgentChatResponse:
     # Track if an exception occurred
     exception: Optional[Exception] = None
 
-    def __post_init__(self) -> None:
+    def set_source_nodes(self) -> None:
         if self.sources and not self.source_nodes:
             for tool_output in self.sources:
                 if isinstance(tool_output.raw_output, (Response, StreamingResponse)):
                     self.source_nodes.extend(tool_output.raw_output.source_nodes)
 
+    def __post_init__(self) -> None:
+        self.set_source_nodes()
+
     def __str__(self) -> str:
         if self.is_done and not self.queue.empty() and not self.is_function:
             while self.queue.queue:

llama-index-core/pyproject.toml

@@ -46,7 +46,7 @@ name = "llama-index-core"
 packages = [{include = "llama_index"}]
 readme = "README.md"
 repository = "https://github.com/run-llama/llama_index"
-version = "0.11.3"
+version = "0.11.4"
 
 [tool.poetry.dependencies]
 SQLAlchemy = {extras = ["asyncio"], version = ">=1.4.49"}

llama-index-integrations/embeddings/llama-index-embeddings-openai/pyproject.toml

@@ -27,7 +27,7 @@ exclude = ["**/BUILD"]
 license = "MIT"
 name = "llama-index-embeddings-openai"
 readme = "README.md"
-version = "0.2.3"
+version = "0.2.4"
 
 [tool.poetry.dependencies]
 python = ">=3.8.1,<4.0"

llama-index-integrations/graph_stores/llama-index-graph-stores-falkordb/pyproject.toml

@@ -13,6 +13,7 @@ import_path = "llama_index.graph_stores.falkordb"
 
 [tool.llamahub.class_authors]
 FalkorDBGraphStore = "llama-index"
+FalkorDBPropertyGraphStore = "llama-index"
 
 [tool.mypy]
 disallow_untyped_defs = true

llama-index-integrations/readers/llama-index-readers-llama-parse/pyproject.toml

@@ -28,11 +28,11 @@ keywords = ["PDF", "llama", "llama-parse", "parse"]
 license = "MIT"
 name = "llama-index-readers-llama-parse"
 readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
 
 [tool.poetry.dependencies]
 python = ">=3.8.1,<4.0"
-llama-parse = ">=0.4.0"
+llama-parse = ">=0.5.0"
 llama-index-core = "^0.11.0"
 
 [tool.poetry.group.dev.dependencies]