Fix handling of multiple tool calls in single LLM response #239
+1,300
−18
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Previously, the library only processed the first tool call when an LLM returned multiple tool_use blocks in a single response. This limitation prevented parallel function execution, a key feature of modern LLMs. Changes: - Update Anthropic provider to extract ALL tool_use blocks from responses - Modify tool parser to handle arrays of content blocks - Ensure all tools execute before continuing the conversation - Add comprehensive tests for multi-tool scenarios across all providers This enables use cases like: - Executing multiple independent operations in parallel - Rolling dice multiple times in one request - Fetching data from multiple sources simultaneously The implementation maintains backward compatibility while extending support for advanced parallel tool calling capabilities. Fixes the limitation where only the first tool call was processed when multiple were requested.
Contributor
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You still working on this? Looking forward to this improvement. |
Contributor
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Or is this not actually an issue? |
Contributor
Author
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@tpaulshippy I opened a separate PR here: #241 |
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Summary
Related Issue
Fixes #236
Changes
Updated
format_tool_callinlib/ruby_llm/providers/anthropic/tools.rbto:each_valueinstead of processing just oneUpdated
parse_tool_callsto handle both single tool calls (for backward compatibility) and arrays of multiple tool callsAdded comprehensive test coverage for multiple tool calls scenario
Test plan
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