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Update README.md to refine the introduction and prompt caching descriptions
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‎README.md‎

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@@ -41,7 +41,7 @@ Code Web Chat (CWC) is a free and open-source, privacy-first **AI coding toolkit
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## Introduction
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In the world of AI coding, agents like Claude Code or Codex rely on "Function Calling" (where the AI asks "the harness" to read a file, waits for the tool to respond, then reads another). CWC flips this by letting you provide context files upfront for quality outputs in a matter of seconds.
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In the world of AI coding, agents like Claude Code or Codex rely on "Function Calling" (where the AI asks "the harness" to read a file, waits for the tool to respond, then reads another). CWC flips this by letting you provide context files upfront for the best accuracy, cost-efficiency and speed.
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**Zero-overhead, XML-formatted prompt types:**
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@@ -104,9 +104,11 @@ Find all files building modules of the following task's scope:
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## Prompt caching
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Thanks to its static context design, **[prompt caching](https://developers.openai.com/api/docs/guides/prompt-caching) is utilized across tasks** via context files ordering based on update and selection recency.
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Because context files are ordered based on update and selection recency, **[prompt caching](https://developers.openai.com/api/docs/guides/prompt-caching) is utilized across tasks**.
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Make your chatbot quotas last longer or lower token costs by up to 90% when calling APIs. Minimize latency of self-hosted models.
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Your chatbot quotas last longer and token costs are lower by up to 90% when calling APIs.
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Local models doesn't feel slow anymore!
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## Enabling autofill
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