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assistant.qmd

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@@ -19,10 +19,11 @@ A majority of data science work happens interactively with live data during deve
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We are using tool-calling heavily within Positron to allow the LLMs to directly interact with Positron's novel data science features. We have built out key integration points that allow the LLM to understand and interact with the current state of the Positron IDE, and will continue to expand these capabilities over time.
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A few examples include:
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* Variables pane, providing names, dimensions, and column names of dataframes and Python/R based database connections, as well as metadata for arrays, lists, and other objects in memory
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* Plots pane for describing the current plot or suggesting variations, next steps on iterating on the current plot
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* Console is available by the model for viewing inputs and code outputs, as well as allowing the user or an AI agent to execute code in the console and view the output.
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* Session state, i.e., what language is active in the console session? R or Python? What version? What packages are loaded? What packages are installed?
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- Variables pane, providing names, dimensions, and column names of dataframes and Python/R based database connections, as well as metadata for arrays, lists, and other objects in memory
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- Plots pane for describing the current plot or suggesting variations, next steps on iterating on the current plot
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- Console is available by the model for viewing inputs and code outputs, as well as allowing the user or an AI agent to execute code in the console and view the output.
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- Session state, i.e., what language is active in the console session? R or Python? What version? What packages are loaded? What packages are installed?
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All of that Positron-specific context is in addition to the core capabilities of what traditional software-oriented GenAI clients have (active file(s), selected line(s) of code, files in project, training data in the model, etc).
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