feat: Retrieve past function results for reinforcement learning

- Introduced `getLatestJobsResultedByFunctionName` to fetch job results based on function name, service, and result type.
- By default, job results will be ingested into the context.

control-plane/src/modules/jobs/jobs.ts

@@ -1,4 +1,4 @@
-import { and, eq, gt, isNull, lte, sql } from "drizzle-orm";
+import { and, desc, eq, gt, isNull, lte, sql } from "drizzle-orm";
 import { env } from "../../utilities/env";
 import { JobPollTimeoutError, NotFoundError } from "../../utilities/errors";
 import { getBlobsForJobs } from "../blobs";
@@ -137,6 +137,38 @@ export const getJob = async ({
   };
 };
 
+export const getLatestJobsResultedByFunctionName = async ({
+  clusterId,
+  service,
+  functionName,
+  limit,
+  resultType,
+}: {
+  clusterId: string;
+  service: string;
+  functionName: string;
+  limit: number;
+  resultType: ResultType;
+}) => {
+  return data.db
+    .select({
+      result: data.jobs.result,
+      resultType: data.jobs.result_type,
+      targetArgs: data.jobs.target_args,
+    })
+    .from(data.jobs)
+    .where(
+      and(
+        eq(data.jobs.cluster_id, clusterId),
+        eq(data.jobs.target_fn, functionName),
+        eq(data.jobs.service, service),
+        eq(data.jobs.result_type, resultType),
+      ),
+    )
+    .orderBy(desc(data.jobs.created_at))
+    .limit(limit);
+};
+
 export const getJobsForWorkflow = async ({
   clusterId,
   runId,

control-plane/src/modules/workflows/agent/nodes/model-call.ts

@@ -2,10 +2,7 @@ import { ReleventToolLookup } from "../agent";
 import { toAnthropicMessages } from "../../workflow-messages";
 import { logger } from "../../../observability/logger";
 import { WorkflowAgentState, WorkflowAgentStateMessage } from "../state";
-import {
-  addAttributes,
-  withSpan,
-} from "../../../observability/tracer";
+import { addAttributes, withSpan } from "../../../observability/tracer";
 import { AgentError } from "../../../../utilities/errors";
 import { ulid } from "ulid";
 
@@ -74,8 +71,7 @@ const _handleModelCall = async (
     "If there is nothing left to do, return 'done' and provide the final result.",
     "If you encounter invocation errors (e.g., incorrect tool name, missing input), retry based on the error message.",
     "When possible, return multiple invocations to trigger them in parallel.",
-    "Once all tasks have been completed, return the final result as a structured object.",
-    "Provide concise and clear responses. Use **bold** to highlight important words.",
+    "Provide concise and clear responses.",
     state.additionalContext,
     "<TOOLS_SCHEMAS>",
     schemaString,
@@ -263,7 +259,6 @@ const _handleModelCall = async (
     };
   }
 
-
   return {
     messages: [
       {

control-plane/src/modules/workflows/agent/nodes/model-output.ts

@@ -1,4 +1,3 @@
-
 import { JsonSchema7ObjectType } from "zod-to-json-schema";
 import { AgentTool } from "../tool";
 import { workflows } from "../../../data";
@@ -8,8 +7,7 @@ import { WorkflowAgentState } from "../state";
 type ModelInvocationOutput = {
   toolName: string;
   input: unknown;
-
-}
+};
 
 export type ModelOutput = {
   invocations?: ModelInvocationOutput[];
@@ -18,18 +16,17 @@ export type ModelOutput = {
   message?: string;
   done?: boolean;
   issue?: string;
-}
+};
 
 export const buildModelSchema = ({
   state,
   relevantSchemas,
-  resultSchema
+  resultSchema,
 }: {
   state: WorkflowAgentState;
   relevantSchemas: AgentTool[];
   resultSchema?: InferSelectModel<typeof workflows>["result_schema"];
-  }) => {
-
+}) => {
   // Build the toolName enum
   const toolNameEnum = [
     ...relevantSchemas.map((tool) => tool.name),
@@ -48,7 +45,7 @@ export const buildModelSchema = ({
       issue: {
         type: "string",
         description:
-          "Describe any issues you have encountered in this step. Specifically related to the tools you are using.",
+          "Describe any issues you have encountered in this step. Specifically related to the tools you are using. If none, keep this field empty.",
       },
     },
   };

control-plane/src/modules/workflows/agent/run.ts

@@ -32,6 +32,7 @@ import { CURRENT_DATE_TIME_TOOL_NAME } from "./tools/date-time";
 import { env } from "../../../utilities/env";
 import { events } from "../../observability/events";
 import { AgentTool } from "./tool";
+import { getLatestJobsResultedByFunctionName } from "../../jobs/jobs";
 
 /**
  * Run a workflow from the most recent saved state
@@ -284,14 +285,52 @@ async function findRelatedFunctionTools(workflow: Run, search: string) {
 
   const toolContexts = await Promise.all(
     relatedTools.map(async (toolDetails) => {
-      const metadata = await getToolMetadata(
-        workflow.clusterId,
-        toolDetails.serviceName,
-        toolDetails.functionName,
-      );
+      const [metadata, resolvedJobs, rejectedJobs] = await Promise.all([
+        getToolMetadata(
+          workflow.clusterId,
+          toolDetails.serviceName,
+          toolDetails.functionName,
+        ),
+        getLatestJobsResultedByFunctionName({
+          clusterId: workflow.clusterId,
+          service: toolDetails.serviceName,
+          functionName: toolDetails.functionName,
+          limit: 3,
+          resultType: "resolution",
+        }),
+        getLatestJobsResultedByFunctionName({
+          clusterId: workflow.clusterId,
+          service: toolDetails.serviceName,
+          functionName: toolDetails.functionName,
+          limit: 3,
+          resultType: "rejection",
+        }),
+      ]);
 
       const contextArr = [];
 
+      if (resolvedJobs.length > 0) {
+        contextArr.push(
+          `<jobs status="success">${resolvedJobs
+            .map(
+              (j) =>
+                `<input>${j.targetArgs}</input><output>${j.result}</output>`,
+            )
+            .join("\n")}</jobs>`,
+        );
+      }
+
+      if (rejectedJobs.length > 0) {
+        contextArr.push(
+          `<jobs status="failed">${rejectedJobs
+            .map(
+              (j) =>
+                `<input>${j.targetArgs}</input><output>${j.result}</output>`,
+            )
+            .join("\n")}</jobs>`,
+        );
+      }
+
       if (metadata?.additionalContext) {
         contextArr.push(`<context>${metadata.additionalContext}</context>`);
       }