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* docs: add xAI Grok and Mistral AI provider configs * docs: add Anthropic Claude model configuration guide - Add comprehensive documentation for configuring Anthropic Claude models with Cline - Include API key setup, supported models list, and configuration steps - Cover advanced features like prompt caching and rate limits - Update navigation to include new Anthropic page in custom model configs section * docs: add DeepSeek, Ollama, OpenAI, OpenAI Compatible pages and update Plan & Act * docs: add Extended Thinking section to Anthropic configuration guide * docs: update vscode language model api page * docs: update vscode language model api docs * Add model documentation pages and update navigation structure - Add new documentation pages for model overviews (Claude, Gemini, OpenAI, XAI) - Add general models overview page - Update docs.json to include new model documentation in navigation - Update OpenAI-compatible model documentation * Remove Notes column from model documentation tables for consistency * Fix table formatting in Gemini models documentation * added 5 new model configurations and updated existing ones * Update AWS Bedrock documentation with minimal IAM permissions * modified: docs/get-to-know-the-models/claude-models.mdx * Renamed 'custom model configuration' to 'provider configuation' to avoid providers being confused with models * Fix dollar sign rendering in model documentation - Escape dollar signs in pricing tables to prevent MDX parsing issues - Fixes disappearing dollar signs in gemini-models.mdx and other model docs - Dollar signs now display correctly as literal currency symbols * Add feature descriptions to OpenAI and XAI model docs - Added 'Diverse Performance for Different Tasks Across Model Tiers' section to OpenAI models - Added 'Real-time Information Access' section to XAI models - Maintains consistency with existing Claude and Gemini documentation format - Highlights valuable features for agentic AI coding workflows * removing these files due to name change in header. they're in the new docs/provider configs folder * added 2 new issues per model page + formatting * Update model documentation files * Fix: Correct paths in docs.json for provider configs * docs: update docs.json and apply formatting * docs: fix broken links, add OpenRouter & Requesty pages * docs: remove 'get to know the models' section and files * Update docs/provider-config/openai-compatible.mdx Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com> --------- Co-authored-by: kevinneung <94151024+kevinneung@users.noreply.github.com> Co-authored-by: Dennise Bartlett <bartlett.dc.1@gmail.com> Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
39 lines
2.3 KiB
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39 lines
2.3 KiB
Plaintext
---
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title: "Requesty"
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description: "Learn how to use Requesty with Cline to access and optimize over 150 large language models."
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---
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Cline supports accessing models through the [Requesty](https://www.requesty.ai/) AI platform. Requesty provides an easy and optimized API for interacting with 150+ large language models (LLMs).
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**Website:** [https://www.requesty.ai/](https://www.requesty.ai/)
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### Getting an API Key
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1. **Sign Up/Sign In:** Go to the [Requesty website](https://www.requesty.ai/) and create an account or sign in.
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2. **Get API Key:** You can get an API key from the [API Management](https://app.requesty.ai/manage-api) section of your Requesty dashboard.
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### Supported Models
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Requesty provides access to a wide range of models. Cline will automatically fetch the latest list of available models. You can see the full list of available models on the [Model List](https://app.requesty.ai/router/list) page.
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### Configuration in Cline
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1. **Open Cline Settings:** Click the settings icon (⚙️) in the Cline panel.
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2. **Select Provider:** Choose "Requesty" from the "API Provider" dropdown.
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3. **Enter API Key:** Paste your Requesty API key into the "Requesty API Key" field.
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4. **Select Model:** Choose your desired model from the "Model" dropdown.
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### Tips and Notes
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- **Optimizations**: Requesty offers a range of in-flight cost optimizations to lower your costs.
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- **Unified and simplified billing**: Unrestricted access to all providers and models, automatic balance top ups and more via a single [API key](https://app.requesty.ai/manage-api).
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- **Cost tracking**: Track cost per model, coding language, changed file, and more via the [Cost dashboard](https://app.requesty.ai/cost-management) or the [Requesty VS Code extension](https://marketplace.visualstudio.com/items?itemName=Requesty.requesty).
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- **Stats and logs**: See your [coding stats dashboard](https://app.requesty.ai/usage-stats) or go through your [LLM interaction logs](https://app.requesty.ai/logs).
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- **Fallback policies**: Keep your LLM working for you with fallback policies when providers are down.
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- **Prompt Caching:** Some providers support prompt caching. [Search models with caching](https://app.requesty.ai/router/list).
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### Relevant resources
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- [Requesty Youtube channel](https://www.youtube.com/@requestyAI)
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- [Requesty Discord](https://requesty.ai/discord)
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