Everything currently in flight
Wire DeepSeek's hosted API into OpenClaw as a provider so the crew can route work to cheap, capable models when local Ollama isn't enough but Anthropic is overkill.
ArchivedNotes
Local models on the 4060 (Ollama, 7-16B class) work for simple text tasks but flake on multi-step tool chains. Anthropic Sonnet/Opus is reliable but expensive at volume. DeepSeek's hosted API (api.deepseek.com) sits in the middle: their deepseek-chat and deepseek-reasoner models are meaningfully cheaper than Anthropic, OpenAI-compatible API, and competitive on coding/reasoning benchmarks. Good fit for high-volume workers like Debbie/Chris when local fails.
platform.deepseek.com (Maxime side).~/.openclaw/.env (NOT committed to any repo).~/.openclaw/openclaw.json (OpenAI-compatible).deepseek-chat and deepseek-reasoner so cron jobs and agent overrides can use friendly names.openclaw infer model run --model deepseek-chat --prompt "say: ok".openclaw.json (use ${env:DEEPSEEK_API_KEY} ref)platform.deepseek.com and update .env..env.usage-cost-cache.json and OTel exports both lack taskId. Proposal written: feature-request-task-cost-tagging.md. Two-part fix (additive field on usage entries + new openclaw.task.id OTel attribute). Awaiting Maxime's go-ahead to file as an upstream GitHub issue.5/5
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Tasks (5)
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