Fable orchestrating DeepSeek v4 Flash to implement a plan is my new favorite thing.
It's so freaking fast, but you gotta tell Fable to watch Deepseek like a hawk or it'll go off the rails.
It's so freaking fast, but you gotta tell Fable to watch Deepseek like a hawk or it'll go off the rails.
We run an agent company and we do a bunch of different things with agents. Where we used Gemini before Deepseek v4 Flash is taking the lead on price. It's like 5x cheaper than 3.6 and well 2.5x cheaper than 3.7 "introductory price". Comparable quality.
You define roles for different agents like this:
modelRoles:
task: fireworks/kimi-k3-fast:high
plan: fireworks/kimi-k3-fast:max
slow: fireworks/kimi-k3-fast:max
smol: fireworks/deepseek-v4-flash-0731:low
tiny: fireworks/gpt-oss-20b
vision: fireworks/qwen3.7-plus:high
designer: fireworks/qwen3.7-plus:high
advisor: openai-codex/gpt-5.6-sol:high
main_worker: fireworks/kimi-k3-fast:high
fast_worker: fireworks/deepseek-v4-flash-0731:low
vision_worker: fireworks/qwen3.7-plus:high
research_worker: fireworks/glm-5.2:medium
code_worker: fireworks/kimi-k2.7-code-fast:high
review_worker: anthropic/claude-fable-5:high
security_review_worker: fireworks/kimi-k3-fast:max
minimal_worker: fireworks/gpt-oss-20b
default: fireworks/kimi-k3-fast
task:
agentModelOverrides:
task: "@main_worker"
sonic: "@fast_worker"
scout: "@fast_worker"
designer: "@vision_worker"
librarian: "@research_worker"
reviewer: "@review_worker"
security-reviewer: "@security_review_worker"
Then you first say /plan and use some big model like K3. Finally the harness shows you a markdown you approve, and in approval you switch to a smaller model and reset the context. The smaller model gets the full plan and starts working on it. When done, you say /review and it spawns N review agents and returns the change suggestions. And you iterate on that.