xiaoju
c04e7c31af
workflow-role-llm now only contains LLM-as-agent specifics: - createRole (wires agent + extract) - createLlmAdapter (OpenAI chat completions agent) workflow-util-role now provides all role infrastructure: - decorators (decorateRole, withDryRun, onFail) - llmExtract / extractMetaOrThrow (structured extraction) - buildDescriptorFromRoles (zod → JSON Schema) - LlmProvider, LlmMessage types
35 lines
1.2 KiB
TypeScript
35 lines
1.2 KiB
TypeScript
import { committerMetaSchema } from "@uncaged/workflow-role-committer";
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import { reviewerMetaSchema } from "@uncaged/workflow-role-reviewer";
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import { buildDescriptorFromRoles } from "@uncaged/workflow-util-role";
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import { coderMetaSchema, plannerMetaSchema } from "./roles.js";
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export function buildSolveIssueDescriptor() {
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return buildDescriptorFromRoles({
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description:
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"Plan, implement, review, and commit changes to resolve an issue end-to-end (planner → coder → reviewer → committer).",
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roles: {
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planner: {
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name: "planner",
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schema: plannerMetaSchema,
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description: "Analyzes the issue and proposes plan, files, and approach.",
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},
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coder: {
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name: "coder",
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schema: coderMetaSchema,
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description: "Implements the planner output and summarizes touched files.",
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},
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reviewer: {
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name: "reviewer",
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schema: reviewerMetaSchema,
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description: "Runs git diff checks and sets approved when the change is ready.",
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},
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committer: {
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name: "committer",
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schema: committerMetaSchema,
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description: "Creates branch, commits, and pushes when review passes.",
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},
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},
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});
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}
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