LlamaIndex v0.14.15

v0.14.15
Added 14
  • AgentMesh integration providing a trust layer for LlamaIndex agents
  • Support for basic operations on multimodal types
  • Recursive LLM type support
  • Multimodal template variable formatting
  • Multimodal prompt templates
  • Multimodal chat prompt helper
Changed 3
  • GitHubRepoReader enhanced with selective file fetching and deduplication
  • Observability-otel now uses llama-index-instrumentation instead of llama-index-core
  • MistralAI LLM integration updated for Azure SDK compatibility
Fixed 9
  • Remove redundant metadata_seperator field from TextNode
  • Ensure thinking_delta is populated in all chat modes for bedrock-converse
  • Ensure at least one message/content block is returned by the old memory
  • Replace mutable default argument in Bitbucket reader load_all_file_paths
  • LayoutIR reader hotfix for output_dir crash and Block extraction
  • Restrict LayoutIR requires-python to >=3.12 to match layoutir dependency
Removed 1
  • Persistent_connection parameter support from IBM embeddings and LLM integrations

Release Notes

[2026-02-18]
llama-index-agent-agentmesh [0.1.0]
  • [Integration] AgentMesh: Trust Layer for LlamaIndex Agents (#20644)
llama-index-core [0.14.15]
  • Support basic operations for multimodal types (#20640)
  • Feat recursive llm type support (#20642)
  • fix: remove redundant metadata_seperator field from TextNode (#20649)
  • fix(tests): update mock prompt type in mock_prompts.py (#20661)
  • Feat multimodal template var formatting (#20682)
  • Feat multimodal prompt templates (#20683)
  • Feat multimodal chat prompt helper (#20684)
  • Add retry and error handling to BaseExtractor (#20693)
  • ensure at least one message/content block is returned by the old memory (#20729)
llama-index-embeddings-ibm [0.6.0.post1]
  • chore: Remove persistent_connection parameter support, update (#20714)
  • docs: Update IBM docs (#20718)
llama-index-llms-anthropic [0.10.9]
  • Sonnet 4-6 addition (#20723)
llama-index-llms-bedrock-converse [0.12.10]
  • fix(bedrock-converse): ensure thinking_delta is populated in all chat modes (#20664)
  • feat(bedrock-converse): Add support for Claude Sonnet 4.6 (#20726)
llama-index-llms-ibm [0.7.0.post1]
  • chore: Remove persistent_connection parameter support, update (#20714)
  • docs: Update IBM docs (#20718)
llama-index-llms-mistralai [0.10.0]
  • Rrubini/mistral azure sdk (#20668)
llama-index-llms-oci-data-science [1.0.0]
  • Add support for new OCI DataScience endpoint /predictWithStream for streaming use case (#20545)
llama-index-observability-otel [0.3.0]
  • improve otel data serialization by flattening dicts (#20719)
  • feat: support custom span processor; refactor: use llama-index-instrumentation instead of llama-index-core (#20732)
llama-index-program-evaporate [0.5.2]
  • Sandbox LLM-generated code execution in EvaporateExtractor (#20676)
llama-index-readers-bitbucket [0.4.2]
  • fix: replace mutable default argument in load_all_file_paths (#20698)
llama-index-readers-github [0.10.0]
  • feat: Enhance GitHubRepoReader with selective file fetching and deduplication (Issue #20471) (#20550)
llama-index-readers-layoutir [0.1.1]
  • feat: Add LayoutIR reader integration (#20708)
  • fix(layoutir): hotfix for output_dir crash and Block extraction (#20708 follow-up) (#20715)
  • fix(layoutir): restrict requires-python to >=3.12 to match layoutir dependency (#20733)
llama-index-readers-microsoft-sharepoint [0.8.0]
  • Add pagination support for Microsoft Graph API calls in SharePoint reader (#20704)
llama-index-readers-whatsapp [0.4.2]
  • fix: Update WhatsAppChatLoader to retrieve DataFrame in pandas format (#20722)
llama-index-tools-mcp [0.4.7]
  • feat: propagate partial_params to get_tools_from_mcp utils (#20669)
llama-index-vector-stores-faiss [0.5.3]
  • Replace eval() with json.loads in FaissMapVectorStore persistence (#20675)
llama-index-vector-stores-milvus [1.0.0]
  • Fix: remove ORM Collection mix-usage with MilvusClient in Milvus vector store (#20687)
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