Function createCustomProviderModelConfig

src/runtime/agent.ts:89–136

(
  options: Pick<
    PackAgentOptions,
    "provider" | "modelId" | "apiProtocol" | "reasoning"
  >,
  modelRegistry?: Pick<ModelRegistry, "find">,
)

}

export function createCustomProviderModelConfig(
  options: Pick<
    PackAgentOptions,
    "provider" | "modelId" | "apiProtocol" | "reasoning"
  >,
  modelRegistry?: Pick<ModelRegistry, "find">,
): CustomProviderModelConfig {
  const api = (options.apiProtocol ??
    "openai-completions") as CustomProviderModelConfig["api"];
  const registryModel = modelRegistry?.find(options.provider, options.modelId);
  if (registryModel) {
    const customModel: CustomProviderModelConfig = {
      id: registryModel.id,
      name: registryModel.name,
      api,
      reasoning: api === "openai-completions" ? false : registryModel.reasoning,
      input: [...registryModel.input],
      cost: { ...registryModel.cost },
      contextWindow: registryModel.contextWindow,
      maxTokens: registryModel.maxTokens,
    };

    if (registryModel.thinkingLevelMap) {
      customModel.thinkingLevelMap = { ...registryModel.thinkingLevelMap };
    }
    if (registryModel.headers) {
      customModel.headers = { ...registryModel.headers };
    }
    if (registryModel.compat) {
      customModel.compat = {
        ...registryModel.compat,
      } as CustomProviderModelConfig["compat"];
    }

    return customModel;
  }

  return {
    id: options.modelId,
    name: options.modelId,
    api,
    reasoning: options.reasoning ?? false,
    input: ["text", "image"] as Array<"text" | "image">,
    cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
    contextWindow: 128000,
    maxTokens: 4096,
  };
}

export function readFrevanaSystemPrompts(
  env: NodeJS.ProcessEnv = process.env,