The first public release of LLeMbas CLI: a terminal coding agent and project manager for any LLM API, with permission modes, git snapshots, memory and skills, knowledge bases, MCP, voice, and a link to a LLeMbas instance whose web UI can work its sessions too. Signed Linux binaries for x64 and arm64. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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import { findRef, modelRefs } from "./refs.ts"
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import type { Loaded } from "../config/load.ts"
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import { AnthropicClient } from "./anthropic.ts"
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import { OpenAIChatClient } from "./openai-chat.ts"
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import { ResponsesClient } from "./responses.ts"
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import { GeminiClient } from "./gemini.ts"
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import { OllamaClient } from "./ollama.ts"
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import { ProviderError, type Client, type ResolvedModel } from "./types.ts"
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export class ModelError extends Error {}
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/** `connection/model`. The model part may itself contain slashes (`openrouter/qwen/qwen3-coder`). */
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export function resolveModel(loaded: Loaded, ref: string | undefined): ResolvedModel {
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const refs = loaded.refs ?? modelRefs(loaded.connections)
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if (!ref) {
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// A LLeMbas instance says which model its account starts on; that, before anything else.
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const instance = Object.entries(loaded.connections).find(([, c]) => c.webui?.default && c.models[c.webui.default])
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if (instance) ref = refs.find((r) => r.connection === instance[0] && r.id === instance[1].webui!.default)?.ref ?? `${instance[0]}/${instance[1].webui!.default}`
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}
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if (!ref) {
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const first = refs[0]
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if (!first) throw new ModelError("No model configured. Add a connection to ~/.config/lembas/connections.yaml and set `model:` in config.yaml.")
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ref = first.ref
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}
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// Any form of the name (`deepseek/x`, or the old `example/x`): the model it names, under
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// the ref it has now.
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const known = findRef(loaded.connections, refs, ref)
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if (known) {
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const connection = loaded.connections[known.connection]!
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if (loaded.broken?.[known.connection]) throw new ModelError(`Connection "${known.connection}" is unusable: ${loaded.broken?.[known.connection]}`)
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return { ref: known.ref, connectionName: known.connection, connection, id: known.id, spec: connection.models[known.id] ?? {} }
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}
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const slash = ref.indexOf("/")
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if (slash <= 0) throw new ModelError(`Model "${ref}" must be written connection/model`)
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const connectionName = ref.slice(0, slash)
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const id = ref.slice(slash + 1)
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if (loaded.broken?.[connectionName]) throw new ModelError(`Connection "${connectionName}" is unusable: ${loaded.broken[connectionName]}`)
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const connection = loaded.connections[connectionName]
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if (!connection) throw new ModelError(`No connection named "${connectionName}" (have: ${Object.keys(loaded.connections).join(", ") || "none"})`)
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const spec = connection.models[id]
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if (!spec && !connection.discover)
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throw new ModelError(`Connection "${connectionName}" has no model "${id}" (have: ${Object.keys(connection.models).join(", ") || "none"}). Add it, or set discover: true.`)
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return { ref, connectionName, connection, id, spec: spec ?? {} }
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}
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export function clientFor(m: ResolvedModel): Client {
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switch (m.connection.dialect) {
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case "openai-chat":
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return new OpenAIChatClient(m)
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case "anthropic":
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return new AnthropicClient(m)
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case "responses":
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return new ResponsesClient(m)
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case "gemini":
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return new GeminiClient(m)
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case "ollama":
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return new OllamaClient(m)
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}
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}
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/** Which prompt family a model gets when the config does not say: anthropic, gpt, gemini, or
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* local — every open-weight or unknown model, which gets Hermes' act-don't-describe guidance. */
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export function familyOf(m: ResolvedModel): string {
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if (m.spec.family) return m.spec.family
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const id = m.id.toLowerCase()
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if (id.includes("claude")) return "anthropic"
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if (id.includes("gemini")) return "gemini"
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if (/\bgpt|^o[134]\b|^o[134]-|codex/.test(id)) return "gpt"
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return "local"
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}
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