chore: Release 1.5.0 #3171
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chore: Release 1.5.0 #3171
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Mustafa-Esoofally
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Jun 4, 2025
# Changelog ## New Features: - **Azure OpenAI Tools**: Added image generation via Dall-E via Azure AI Foundry. - **OpenTelemetry Instrumentation:** We have contributed to the [OpenInference](https://github.com/Arize-ai/openinference) project and added an auto-instrumentor for Agno agents. This adds tracing instrumentation for Agno Agents for any OpenTelemetry-compatible observability provider. These include Arize, Langfuse and Langsmith. Examples added to illustrate how to use each one ([here](https://github.com/agno-agi/agno/tree/main/cookbook/observability)). - **Evals Updates**: Added logic to run accuracy evaluations with pre-generated answers and minor improvements for all evals classes. - **Hybrid Search and Reranker for Milvus Vector DB:** Added support for `hybrid_search` on Milvus. - **MCP with Streamable-HTTP:** Now supporting the streamable-HTTP transport for MCP servers. ## Improvements: - **Knowledge Filters Cookbook:** Instead of storing the sample data locally, we now pull it from s3 at runtime to keep the forking of the repo as light as possible. ## Bug Fixes: - **Team Model State:** Fixed issues related to state being shared between models on teams. - **Concurrent Agent Runs**: Fixed certain race-conditions related to running agents concurrently. ## Breaking changes: - **Evals Refactoring:** - Our performance evaluation class has been renamed from `PerfEval` to `PerformanceEval` - Our accuracy evaluation class has new required fields: `agent`, `prompt` and `expected_answer` - **Concurrent Agent Runs:** We removed duplicate information from some events during streaming (`stream=True`). Individual events will have more relevant data now.
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Changelog
New Features:
hybrid_searchon Milvus.Improvements:
Bug Fixes:
Breaking changes:
PerfEvaltoPerformanceEvalagent,promptandexpected_answerstream=True). Individual events will have more relevant data now.