v1.7.6
July 25, 2025
1.7.6
New Features:
- Portkey Model Support: Added support for Portkey hosted models.
- Bitbucket Tool: Added
BitbucketTools
with a variety of Bitbucket repository actions. - Jina Embedder: Added
JinaEmbedder
for using embedding models via Jina. - Row Chunking: Added
RowChunking
as a CSV chunking strategy. - EVM Toolkit: Added
EvmTools
to do transactions on EVM compatible blockchains usingweb3
. - LinkUp Toolkit: Added
LinkupTools
for powerful search. - Background Execution Support for Workflows 2.0: Introduced background execution capabilities for Workflows 2.0, enabling non-blocking workflow execution with polling support. See docs here.
Improvements:
- Async Bedrock Support: Added async execution support for the AWS bedrock implementation. See docs here
- PostgreSQL Tools Updates: Various security and stability overhauls made to the
PostgresTools
toolkit. - Daytona Toolkit Updates: Added new tools for
Daytona
agent Toolkit
Bug Fixes:
- LiteLLM Metrics: Fixed issue with metrics on streaming responses from LiteLLM.
- Team Expected Output: Fixed issue where expected_output of members were overwritten by the team leader agent.
- Workflows Async Generators: Fixed how async generator
arun
functions are treated. It now correctly keeps async generators as async generators and doesn’t convert it to a coroutine.- Before: Workflows with Async generator
arun
functions were incorrectly awaited as coroutines, which could cause runtime errors or prevent proper iteration through the yielded asynchronous values. - After: Async generator workflows are now properly recognised and handled as async generators, allowing for correct iteration over their yielded values using
async for
. This ensures all yielded results are processed as intended within asynchronous workflows.
- Before: Workflows with Async generator
- LiteLLM Multiple Streaming Tool Calls: When Agno is run through LiteLLM against OpenAI chat models (eg. GPT4.1), multiple streamed
tool_calls
lost their individual argument streams. This has been resolved.