enh: Allow functions/pipelines to access interact with tools natively #1466

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2025-11-11T14:45:48-06:00

GiteaMirror commented

2025-11-11 14:45:48 -06:00

Originally created by @michaelpoluektov on GitHub (Jul 8, 2024).

Is your feature request related to a problem? Please describe.
Right now we're limited to either implement tool calling within a function/pipeline directly, or using the default function calling pipeline.

By re-implementing tool calling in a pipeline, we have to define all tools directly, which makes it harder for users to pull extra tools. Additionally, we can't select/de-select them from the UI.
By using native tool calling, we can't control when tools are called (for example, it's impossible to implement an OpenAI-like tool call in the middle of a message), and in the case of functions, we can't know when the pipe() function is called to generate tool call responses.

Describe the solution you'd like
For a function/pipeline, add an optional attribute called "prepend_tools" that decides if the tools are called and appended to the system prompt before responding.
Add an optional parameter to pipe(), called, say, __tool_signatures__ and __tool_callables__ (or simply __tools__: dict) with __tools__["signatures"] and __tools__["callables"] pointing to signatures (in OpenAI JSON format) and and callables respectively

Originally created by @michaelpoluektov on GitHub (Jul 8, 2024). **Is your feature request related to a problem? Please describe.** Right now we're limited to either implement tool calling within a function/pipeline directly, or using the default function calling pipeline. - By re-implementing tool calling in a pipeline, we have to define all tools directly, which makes it harder for users to pull extra tools. Additionally, we can't select/de-select them from the UI. - By using native tool calling, we can't control _when_ tools are called (for example, it's impossible to implement an OpenAI-like tool call in the middle of a message), and in the case of functions, we can't know when the pipe() function is called to generate tool call responses. **Describe the solution you'd like** For a function/pipeline, add an optional attribute called "prepend_tools" that decides if the tools are called and appended to the system prompt before responding. Add an optional parameter to pipe(), called, say, `__tool_signatures__` and `__tool_callables__` (or simply `__tools__: dict`) with `__tools__["signatures"]` and `__tools__["callables"]` pointing to signatures (in OpenAI JSON format) and and callables respectively

GiteaMirror closed this issue

2025-11-11 14:45:48 -06:00

GiteaMirror commented

2025-11-11 14:45:49 -06:00