Cline
VS Code coding agent (formerly Claude Dev) wired to clawfeeder
Cline is an open-source VS Code extension for autonomous coding tasks. It supports multiple providers; the 'OpenAI Compatible' provider lets it call clawfeeder directly.
VS Code with the Cline extension installed (search 'Cline' in marketplace), and a clawfeeder API key.
Steps
1Open Cline settings
Click the Cline icon in the activity bar, then the gear ⚙ in the top-right of the Cline panel.
2Choose OpenAI Compatible provider
Under API Provider, select 'OpenAI Compatible'. Fill in Base URL and API Key fields.
API Provider: OpenAI Compatible
Base URL: https://clawfeeder.ai/v1
API Key: cf-sk-***your_key***
Model ID: claude-sonnet-4-63Configure model + context
Set Model ID to any clawfeeder-supported model. For autonomous coding tasks, claude-sonnet-4-6 or claude-opus-4-7 give the best results. Set Context Window to match the model (200K for claude-* family, 1M for gpt-5.x).
4Save and test
Click Done. Type a task in the Cline input — e.g. 'list the files in this directory and propose a refactor'. Cline will call clawfeeder for each thinking/action step.
Verify
Smoke test from terminal with the same provider format Cline uses.
curl -X POST "https://clawfeeder.ai/v1/chat/completions" \
-H "Authorization: Bearer cf-sk-***" \
-H "Content-Type: application/json" \
-d '{"model":"claude-sonnet-4-6","messages":[{"role":"user","content":"reply READY"}],"max_tokens":20}'Expected response includes: "content":"READY"
FAQ
Should I use the Anthropic provider or OpenAI Compatible?
OpenAI Compatible. The Anthropic provider expects sk-ant-*** keys and Anthropic-only model IDs. clawfeeder accepts cf-sk-*** through both protocols, but Cline's OpenAI Compatible flow is more flexible (any model in the catalog works, not just Anthropic ones).
Cline shows 'Request failed' — how to debug?
Open VS Code Developer Tools (Help → Toggle Developer Tools), check the Console for the actual HTTP error. Most commonly: 401 (wrong key), 400 (model ID typo), or 503 (clawfeeder upstream unavailable).
Why does Cline burn credits so fast?
Each Cline task involves many tool-use round trips (read file → think → write → re-read → think again…). Long tasks easily hit 50+ requests. Use claude-haiku-4-5-20251001 for cheaper iteration loops, switch to opus only for hard refactors.
Does Cline's vision/image input work?
Yes for vision-capable models (claude-opus-4-7, claude-sonnet-4-6, gpt-5.4). Cline encodes images as base64 in the OpenAI message format; clawfeeder passes them through unchanged.
Don't have an API key yet?
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