Deepseek Reasoner (R-1) with Cline
Jan 20, 2025
You can now use DeepSeek-R1 with Cline through Requesty Router using these parameters:
API Provider: OpenAI Compatible
Base URL: https://router.requesty.ai/v1
Model ID: cline/deepseek-reasoner:alpha
DeepSeek-R1: Reinforcement Learning for Powerful Reasoning
DeepSeek-R1 is the new open-source Large Language Model (LLM) from DeepSeek-AI, advancing the frontier of reasoning-first models. Building on insights from DeepSeek-R1-Zero—which showed that large-scale Reinforcement Learning (RL) alone can unlock robust reasoning—DeepSeek-R1 further refines chain-of-thought quality and broader capabilities with a multi-stage training pipeline and carefully curated data. It competes with leading proprietary models for tasks involving math, coding, knowledge-intensive QA, and more.
Using Requesty Router, you can seamlessly incorporate DeepSeek-R1 into your Cline workflow along with 50+ other models, all via a single API key. This combination simplifies integration and cost management, letting you harness DeepSeek-R1’s powerful reasoning in your coding or research projects with minimal overhead.
Why DeepSeek-R1?
DeepSeek-R1 stands out for its reinforcement learning-centric approach to boosting complex reasoning:
Pure-RL Foundations
DeepSeek-R1-Zero showed that a massive RL run without supervised fine-tuning (SFT) can lead to emergent “self-evolving” chain-of-thought, reflection, and improved problem-solving strategies.
DeepSeek-R1 goes further by adding a small “cold-start” dataset to ensure more human-friendly outputs and accelerate convergence.
Multi-Stage Reinforcement Training
It uses two RL phases to optimize both reasoning quality and alignment with user preferences.
It also employs two SFT phases, folding in broader capabilities like writing, factual QA, and general agentic tasks.
Reasoning Distillation to Smaller Models
Even if you don’t need the full size or cost of the main DeepSeek-R1 model, you can tap into “distilled” versions (1.5B up to 70B) that retain much of R1’s advanced reasoning at lower resource requirements.
Key Highlights
Consistent Accuracy Gains: Achieves near state-of-the-art results on competitive math, code, and knowledge benchmarks (MMLU, GPQA, Codeforces, AIME, MATH-500).
Better Readability: Uses a specialized output format with “reasoning process” and final “summary” or “answer,” making it easy to parse while maintaining strong chain-of-thought performance.
Versatile Prompting: Strong zero-shot performance. Minimal prompt engineering needed—just ask your question, and DeepSeek-R1 takes care of the rest.
Why Use Cline with DeepSeek-R1?
Cline is an agentic coding tool that brings AI assistance right into your editor and CLI. Pairing it with DeepSeek-R1 yields a streamlined developer experience:
Multi-Model Routing
Instantly switch between DeepSeek-R1 and other LLMs (GPT-4, Claude, and more) with no extra key management.
Let Cline route your requests to the best model for each coding or QA task—whether that’s code completion, debugging, or advanced reasoning.
Cost Control & Monitoring
Built-in cost tracking lets you see how many tokens you’ve spent and easily switch to cheaper or more powerful models when needed.
Avoid provider downtime or unexpected usage spikes by hot-swapping to different models in seconds.
Agentic Workflows
Cline can read your entire codebase, propose diffs, run commands, launch browsers for testing, and self-refine solutions—while you stay in control.
DeepSeek-R1’s thorough chain-of-thought pairs perfectly with Cline’s iterative approach to solution-finding.
Single Setup, Full Integration
Configure your single Requesty Router API key in Cline to unlock over 50 model endpoints.
No separate accounts or access tokens needed for each model.
Getting Started with DeepSeek-R1 in Cline
1. Install Cline
In VSCode, open the Extensions panel.
Search for “Cline” and click Install.
Or check out Cline on GitHub for CLI usage.
2. Configure Requesty Router
Sign up for Requesty Router if you haven’t already.
Copy your unified Router API Key.
Set the Base URL to https://router.requesty.ai/v1 and choose OpenAI Compatible.
3. Select DeepSeek-R1 as your Model
In Cline’s config (settings.json or user settings), provide the cline/deepseek-reasoner:alpha Model ID and your Requesty key.
Cline is now ready to route queries to DeepSeek-R1. You can also set it as your primary or fallback model.
4. Start Coding & Reasoning
Open Cline:
Command Palette → Cline: Open in New Tab
Provide a coding task or question in zero-shot style.
Observe how DeepSeek-R1 outlines its chain-of-thought in a structured, readable format, then surfaces a final answer or code patch.
Approve or modify diffs, re-run with “fix” commands, or ask follow-up questions without leaving your editor.
Real-World Wins
Advanced Problem Solving
DeepSeek-R1 can handle complex math proofs, multi-file debugging, or domain-specific knowledge tasks—no special prompting required.
Cost & Time Efficiency
Thanks to model routing, you can quickly pivot from one provider to another if your usage or budget changes.
Distilled DeepSeek-R1 variants let you choose the sweet spot of performance vs. token costs.
Enhanced Collaboration
Integrate Cline + DeepSeek-R1 into your team’s workflows for knowledge sharing and consistent AI-driven code reviews.
Open Source Transparency
Dive into DeepSeek-R1’s open architecture and distillation process to customize it for your own research or specialized domains.
Conclusion
DeepSeek-R1 represents a major milestone in RL-driven reasoning for LLMs. With improved chain-of-thought, broad domain coverage, and the ability to distill into smaller footprints, it’s a versatile tool for developers and researchers alike. Pairing it with Cline through Requesty Router offers a unified, cost-friendly approach to advanced AI-enhanced coding and problem-solving.
If you want to push the boundaries of what’s possible in automated reasoning—without dealing with multiple providers or complicated setups—start using DeepSeek-R1 with Cline today. You’ll gain an agile AI partner that not only solves complex tasks but also explains its reasoning clearly, helping you deliver quality results faster, more transparently, and at scale.