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content/contributing/style-guide-and-content-model/style-guide.md

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This section describes additional conventions that are specific to GitHub products.
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### {% data variables.product.prodname_copilot %}
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#### {% data variables.product.prodname_copilot_short %} code completion
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The {% data variables.product.prodname_copilot_short %} feature that suggests code as you are working on a file is called "{% data variables.product.prodname_copilot_short %} code completion" or just "code completion" (singular). Only use "code suggestions" (plural) when referring to multiple instances of code completion suggestions. For example, "When using {% data variables.product.prodname_copilot_short %} code completion..." but "the plan includes 2,000 code completions..."
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### {% data variables.product.prodname_actions %}
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#### Reusables for first-party actions

content/copilot/concepts/billing/copilot-requests.md

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## How do request allowances work per plan?
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If you use **{% data variables.copilot.copilot_free_short %}**, your plan comes with up to 2,000 code completion requests and up to 50 premium requests per month. All chat interactions count as premium requests.
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If you use **{% data variables.copilot.copilot_free_short %}**, your plan comes with up to 2,000 inline suggestion requests and up to 50 premium requests per month. All chat interactions count as premium requests.
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If you're on a **paid plan**, you get unlimited code completions and unlimited chat interactions using the included models ({% data variables.copilot.copilot_gpt_5_mini %}, {% data variables.copilot.copilot_gpt_41 %} and {% data variables.copilot.copilot_gpt_4o %}). Rate limiting is in place to accommodate for high demand. See [AUTOTITLE](/copilot/concepts/rate-limits).
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If you're on a **paid plan**, you get unlimited inline suggestions and unlimited chat interactions using the included models ({% data variables.copilot.copilot_gpt_5_mini %}, {% data variables.copilot.copilot_gpt_41 %} and {% data variables.copilot.copilot_gpt_4o %}). Rate limiting is in place to accommodate for high demand. See [AUTOTITLE](/copilot/concepts/rate-limits).
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Paid plans also receive a monthly allowance of premium requests, which can be used for advanced chat interactions, code completions using premium models, and other premium features. For an overview of the amount of premium requests included in each plan, see [AUTOTITLE](/copilot/about-github-copilot/subscription-plans-for-github-copilot#comparing-copilot-plans).
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Paid plans also receive a monthly allowance of premium requests, which can be used for advanced chat interactions, inline suggestions using premium models, and other premium features. For an overview of the amount of premium requests included in each plan, see [AUTOTITLE](/copilot/about-github-copilot/subscription-plans-for-github-copilot#comparing-copilot-plans).
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{% data reusables.copilot.premium-request-entity-selection %}
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content/copilot/concepts/billing/individual-plans.md

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For developers looking to get started with {% data variables.product.prodname_copilot_short %}.
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* Includes up to **2,000 code completions** in IDEs per month
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* Includes up to **2,000 inline suggestions** in IDEs per month
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* Includes up to **50 premium requests** per month
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* Designed to give you a limited taste of {% data variables.product.prodname_copilot_short %}'s capabilities
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* No subscription or payment required

content/copilot/concepts/completions/code-referencing.md

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{% data reusables.copilot.about-code-referencing %}
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### Code referencing for {% data variables.product.prodname_copilot_short %} code completion
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### Code referencing for {% data variables.product.prodname_copilot_short %} inline suggestions
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{% data reusables.copilot.code-referencing-note %}
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{% data reusables.copilot.about-code-referencing %}
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### Code referencing for {% data variables.product.prodname_copilot_short %} code completion
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### Code referencing for {% data variables.product.prodname_copilot_short %} inline suggestions
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{% data reusables.copilot.code-referencing-note %}
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{% data reusables.copilot.about-code-referencing %}
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### Code referencing for {% data variables.product.prodname_copilot_short %} code completion
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### Code referencing for {% data variables.product.prodname_copilot_short %} inline suggestions
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{% data reusables.copilot.code-referencing-note %}
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content/copilot/concepts/completions/code-suggestions.md

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{% data variables.product.prodname_copilot_short %} in {% data variables.product.prodname_vscode %} provides two kinds of code suggestions:
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* **Code completion**
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* **Ghost text suggestions**
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* {% data variables.product.prodname_copilot_short %} offers coding suggestions as you type. You can also describe something you want to do using natural language within a comment, and {% data variables.product.prodname_copilot_short %} will suggest the code to accomplish your goal.
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* **{% data variables.copilot.next_edit_suggestions_caps %} ({% data variables.release-phases.public_preview %})**
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* Based on the edits you are making, {% data variables.product.prodname_copilot_short %} will predict the location of the next edit you are likely to make and suggest a completion for it. Suggestions may span a single symbol, an entire line, or multiple lines, depending on the scope of the potential change. To enable {% data variables.copilot.next_edit_suggestions %}, see [AUTOTITLE](/copilot/managing-copilot/configure-personal-settings/configuring-github-copilot-in-your-environment#enabling-next-edit-suggestions).
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## About code suggestions in JetBrains IDEs
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{% data variables.product.prodname_copilot_short %} offers code completion suggestions as you type.
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{% data variables.product.prodname_copilot_short %} offers inline suggestions as you type.
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{% data reusables.copilot.supported-languages %}
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{% data variables.product.prodname_copilot_short %} in {% data variables.product.prodname_vs %} provides two kinds of code suggestions:
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* **Code completion**
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* **Ghost text suggestions**
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* {% data variables.product.prodname_copilot_short %} offers coding suggestions as you type.
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* **{% data variables.copilot.next_edit_suggestions_caps %} ({% data variables.release-phases.public_preview %})**
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* Based on the edits you are making, {% data variables.product.prodname_copilot_short %} will predict the location of the next edit you are likely to make and suggest a completion for it. Suggestions may span a single symbol, an entire line, or multiple lines, depending on the scope of the potential change. To enable {% data variables.copilot.next_edit_suggestions %}, see [AUTOTITLE](/copilot/managing-copilot/configure-personal-settings/configuring-github-copilot-in-your-environment#enabling-next-edit-suggestions).
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## About code suggestions in Vim/Neovim
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{% data variables.product.prodname_copilot %} provides code completion suggestions inline as you type in Vim/Neovim.
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{% data variables.product.prodname_copilot %} provides inline suggestions as you type in Vim/Neovim.
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{% endvimneovim %}
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## About code suggestions in Xcode
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{% data variables.product.prodname_copilot %} offers code completion suggestions as you type.
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{% data variables.product.prodname_copilot %} offers inline suggestions as you type.
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{% endxcode %}
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{% eclipse %}
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## About code suggestions in Eclipse
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{% data variables.product.prodname_copilot %} offers code completion suggestions as you type.
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{% data variables.product.prodname_copilot %} offers inline suggestions as you type.
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{% endeclipse %}
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## Code suggestions that match public code
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{% data variables.product.prodname_copilot %} checks each suggestion for matches with publicly available code. Any matches are discarded or suggested with a code reference, based on the setting of the "Suggestions matching public code" policy for your account or organization. See [AUTOTITLE](/copilot/concepts/completions/code-referencing).
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## About the AI model used for {% data variables.product.prodname_copilot_short %} code completion
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## About the AI model used for {% data variables.product.prodname_copilot_short %} inline suggestions
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{% data variables.product.prodname_copilot_short %} code completion uses the {% data variables.copilot.copilot_gpt_41 %} {% data variables.product.prodname_copilot_short %} model. The {% data variables.copilot.copilot_gpt_41 %} {% data variables.product.prodname_copilot_short %} model was trained on a wide range of high quality public {% data variables.product.github %} repositories, providing coverage of over 30 programming languages. See [Programming languages included in the default model](#programming-languages-included-in-the-default-model) below.
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{% data variables.product.prodname_copilot_short %} inline suggestions use the {% data variables.copilot.copilot_gpt_41 %} {% data variables.product.prodname_copilot_short %} model. The {% data variables.copilot.copilot_gpt_41 %} {% data variables.product.prodname_copilot_short %} model was trained on a wide range of high quality public {% data variables.product.github %} repositories, providing coverage of over 30 programming languages. See [Programming languages included in the default model](#programming-languages-included-in-the-default-model) below.
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{% vscode %}
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## Changing the model used for code completion
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## Changing the model used for inline suggestions
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{% data reusables.copilot.code-completion-switch-prereqs-vscode %}
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Changing the model only affects {% data variables.product.prodname_copilot_short %} code completion. It does not affect {% data variables.product.prodname_copilot_short %} next edit suggestions.
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Changing the model only affects {% data variables.product.prodname_copilot_short %} ghost text suggestions. It does not affect {% data variables.product.prodname_copilot_short %} next edit suggestions.
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{% data reusables.copilot.code-completion-switch-model-affects %}
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{% visualstudio %}
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## Changing the model used for inline suggestions
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{% data reusables.copilot.code-completion-switch-prereqs-vs %}
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The following programming languages and technologies are included in the training data for the default LLM used for {% data variables.product.prodname_copilot_short %} code completion:
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The following programming languages and technologies are included in the training data for the default LLM used for {% data variables.product.prodname_copilot_short %} inline suggestions:
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* C
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content/copilot/concepts/completions/index.md

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---
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title: Completions for GitHub Copilot
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shortTitle: Completions
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intro: 'Learn about code completions from {% data variables.product.prodname_copilot %}.'
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intro: 'Learn how {% data variables.product.prodname_copilot_short %} can provide inline suggestions and PR descriptions.'
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versions:
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feature: copilot
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topics:

content/copilot/concepts/context/content-exclusion.md

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You can use content exclusion to configure {% data variables.product.prodname_copilot_short %} to ignore certain files. When you exclude content from {% data variables.product.prodname_copilot_short %}:
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* Code completion will not be available in the affected files.
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* Inline suggestions will not be available in the affected files.
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* The content in affected files will not inform inline suggestions in other files.
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* The content in affected files will not inform {% data variables.copilot.copilot_chat %}'s responses.
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| Tool | Code completion support | {% data variables.copilot.copilot_chat_short %} support |
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| Tool | Inline suggestions support | {% data variables.copilot.copilot_chat_short %} support |
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| {% data variables.product.prodname_vs %} | {% octicon "check" aria-label="Supported" %} | {% octicon "check" aria-label="Supported" %} |
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content/copilot/concepts/copilot-metrics.md

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{% data reusables.copilot.usage-metrics-preview %}
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{% data variables.product.prodname_copilot_short %} usage metrics help enterprise administrators and decision-makers understand how their teams are adopting and using {% data variables.product.prodname_copilot_short %}. By tracking usage patterns across the enterprise, you can measure engagement, identify opportunities to increase value, and make data-driven decisions about enablement and rollout.
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{% data variables.product.prodname_copilot_short %} usage metrics help key stakeholders and decision-makers understand how their teams are adopting and using {% data variables.product.prodname_copilot_short %}. By tracking usage patterns across the enterprise, you can measure engagement, identify opportunities to increase value, and make data-driven decisions about enablement and rollout.
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**Engagement** measures describe how deeply developers use {% data variables.product.prodname_copilot_short %} once they’ve adopted it. Key engagement metrics show not only frequency of use but also breadth across features. For example, average chat requests per active user measures how often users open and interact with {% data variables.copilot.copilot_chat_short %}. You'd want to see regular and increasing chat use across languages and IDEs.
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**Acceptance rate** measures how often developers accept {% data variables.product.prodname_copilot_short %}’s suggestions. This helps you understand whether suggestions are relevant and trusted. For example, a high code completions acceptance rate indicates that suggestions are relevant and useful.
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**Acceptance rate** measures how often developers accept {% data variables.product.prodname_copilot_short %}’s suggestions. This helps you understand whether suggestions are relevant and trusted. For example, a high inline suggestions acceptance rate indicates that suggestions are relevant and useful.
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**Lines of Code (LoC) metrics** measure the number of lines {% data variables.product.prodname_copilot_short %} suggested, added, or deleted in the editor, providing a directional view of {% data variables.product.prodname_copilot_short %}’s tangible output. For example, "Lines added" shows how much code was actually accepted and inserted into the editor.
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content/copilot/concepts/tools/ai-tools.md

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* **{% data variables.copilot.copilot_chat_short %}** can help you brainstorm and identify the best technologies for your project.
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* **{% data variables.product.prodname_copilot_short %} inline suggestions** help add code as you type.
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* You can assign **{% data variables.copilot.copilot_coding_agent %}** to an open issue and it will automatically raise a pull request to address the necessary changes.

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