Yichen Jiang
043539da05
Rename agent/route to agent/model and make its result a complete ModelSelection, so each step fixes its provider, model, and reasoning effort before prompt preparation, agent/pre-step, tool conditions, and every request attempt. agent/request may change only sampling controls; returning another provider, model, or reasoning effort fails the step. installModelSelection installs one agent/model listener and ModelSelectionRef drops assembled. The pre-step payload, AssembleContext, and ToolActivationContext carry modelSelection. Webhook initial selection and the CLI mock effort switch move to agent/model.
29 lines
1.1 KiB
JavaScript
29 lines
1.1 KiB
JavaScript
/** Activate a native tool after a file read and disable it after its first execution. */
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export const name = 'python-sdk-dynamic-tools'
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export const inject = ['tools']
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/** @param {import('@deepseek-ai/cordis').Context} ctx - Scenario-owned tool registry. */
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export function apply(ctx) {
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let active = false
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ctx.tools.register({
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name: 'snapshot_ping',
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description: 'Return pong once.',
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parameters: { type: 'object', properties: {}, additionalProperties: false },
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output: {
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schema: { type: 'string' },
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render(_args, value) { return [{ type: 'text', text: value }] },
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},
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async execute() { return 'pong' },
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}, { when: async ({ modelSelection }) => active && modelSelection.provider === 'deepseek-official' })
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ctx.on('tools/post-execute', async (exec, result, next) => {
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const downstream = await next()
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if (result.isError) return downstream
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if (exec.name === 'read' && exec.arguments.file_path === 'dynamic-tool-task.txt') {
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active = true
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} else if (exec.name === 'snapshot_ping') {
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active = false
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}
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return downstream
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})
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}
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