Enforce strict Effect tsgo migrations

ts/EFFECT_NATIVE_REWRITE_PLAYBOOK.md

@@ -13,6 +13,7 @@ Verify these paths at the start of every audit run:
 - Effect v4 subtree: `/home/elpresidank/YeeBois/projects/beep-effect2/.repos/effect-v4`
 - Installed Effect fallback: `ts/node_modules/effect`
 - Installed Atom React fallback: `ts/packages/workbench/node_modules/@effect/atom-react`
+- Native TypeScript checker: `ts/node_modules/.bin/tsgo`
 
 The prompt typo path `~/YeeBois/projecects/...` is not valid on this machine.
 Use `~/YeeBois/projects/...`.
@@ -29,6 +30,23 @@ resolves many beta APIs through `effect/unstable/*` import paths. Prefer the
 installed TrustGraph import path when it exists; use the subtree package path as
 source proof, not as an automatic import recommendation.
 
+TrustGraph's TypeScript check must use `@typescript/native-preview` patched by
+`@effect/tsgo`. The expected local version line is currently:
+
+```sh
+cd ts && ./node_modules/.bin/tsgo --version
+# Version 7.0.0-dev+effect-tsgo.0.13.0
+```
+
+The root `ts/tsconfig.base.json` language-service plugin should stay aligned
+with `/home/elpresidank/YeeBois/projects/beep-effect/tsconfig.base.json`,
+using the same diagnostic severities and no test-only diagnostic downgrades.
+The repo-specific `namespaceImportPackages` entry should use `@trustgraph/*`.
+The root `check` script should delegate to `check:tsgo`, and `check:tsgo` must
+run `effect-tsgo patch` before `tsgo -b` so agents get Effect diagnostics
+instead of plain TypeScript. Treat every `effect(...)` diagnostic as a hard
+blocker.
+
 ## Primitive Map
 
 Use this map as the starting baseline. A finding is only valid when it cites the
@@ -84,18 +102,25 @@ Known concrete exports useful to scouts:
    especially `.idea/effect.intellij.xml`.
 2. Refresh the source baseline above. If a path moved, record the corrected path
    in the report before making any recommendations.
-3. Run quick signal scans:
+3. Verify the tsgo baseline:
+
+   ```sh
+   cd ts && ./node_modules/.bin/tsgo --version
+   bun run check
+   ```
+
+4. Run quick signal scans:
 
    ```sh
    rg -n "try \\{|new Error|new Promise|setTimeout|while \\(|receive\\(|Effect\\.runPromise|toPromiseRequestor|makeAsyncProcessor|process\\.env|JSON\\.parse|JSON\\.stringify|localStorage|new Map|WebSocket" ts/packages --glob '*.ts' --glob '*.tsx'
    ```
 
-4. Split scouts by lane. If the thread cannot spawn every scout in parallel,
+5. Split scouts by lane. If the thread cannot spawn every scout in parallel,
    run them in batches using the same report schema.
-5. Every finding must include both:
+6. Every finding must include both:
    - Evidence of the handrolled TrustGraph pattern.
    - Evidence of the exact Effect primitive that could replace it.
-6. Do not rewrite code in this audit. The output is a ranked opportunity map and
+7. Do not rewrite code in this audit. The output is a ranked opportunity map and
    a recommended PR order.
 
 ## Agent Lanes
@@ -186,7 +211,7 @@ git diff --check -- ts/EFFECT_NATIVE_REWRITE_PLAYBOOK.md ts/EFFECT_NATIVE_REWRIT
 For any later implementation PR, rerun the relevant package tests and at least:
 
 ```sh
-cd ts && bun run check:tsgo
+cd ts && bun run check
 cd ts && bun run build
 cd ts && bun run test
 ```

ts/bun.lock

@@ -13,7 +13,7 @@
         "@effect/vitest": "4.0.0-beta.75",
         "@types/bun": "^1.3.13",
         "@types/node": "^25.7.0",
-        "@typescript/native-preview": "^7.0.0-dev.20260511.1",
+        "@typescript/native-preview": "7.0.0-dev.20260511.1",
         "falkordb": "^5.0.0",
         "nats": "^2.29.0",
         "pdf-lib": "^1.17.1",

ts/package.json

@@ -6,7 +6,8 @@
     "dev": "bunx --bun turbo dev",
     "lint": "bunx --bun turbo lint",
     "test": "bunx --bun turbo test",
-    "check:tsgo": "tsgo -b tsconfig.json",
+    "check": "bun run check:tsgo",
+    "check:tsgo": "effect-tsgo patch && tsgo -b tsconfig.json",
     "inventory:classes": "bun scripts/inventory-native-classes.ts",
     "workbench:qa": "bun run --cwd packages/workbench qa:browser",
     "prepare": "effect-tsgo patch",
@@ -48,7 +49,7 @@
     "@effect/vitest": "4.0.0-beta.75",
     "@types/bun": "^1.3.13",
     "@types/node": "^25.7.0",
-    "@typescript/native-preview": "^7.0.0-dev.20260511.1",
+    "@typescript/native-preview": "7.0.0-dev.20260511.1",
     "falkordb": "^5.0.0",
     "nats": "^2.29.0",
     "pdf-lib": "^1.17.1",

ts/packages/flow/src/__tests__/config-service.test.ts

@@ -0,0 +1,113 @@
+import { mkdtemp, rm } from "node:fs/promises";
+import { tmpdir } from "node:os";
+import { join } from "node:path";
+import { describe, expect, it } from "vitest";
+import {
+  ConfigServiceError,
+  makeConfigService,
+} from "../config/service.js";
+import type {
+  BackendConsumer,
+  BackendProducer,
+  ConfigRequest,
+  CreateConsumerOptions,
+  CreateProducerOptions,
+  PubSubBackend,
+} from "@trustgraph/base";
+
+class NoopPubSub implements PubSubBackend {
+  async createProducer<T>(_options: CreateProducerOptions): Promise<BackendProducer<T>> {
+    return {
+      send: async () => undefined,
+      flush: async () => undefined,
+      close: async () => undefined,
+    };
+  }
+
+  async createConsumer<T>(_options: CreateConsumerOptions): Promise<BackendConsumer<T>> {
+    return {
+      receive: async () => null,
+      acknowledge: async () => undefined,
+      negativeAcknowledge: async () => undefined,
+      unsubscribe: async () => undefined,
+      close: async () => undefined,
+    };
+  }
+
+  async close(): Promise<void> {}
+}
+
+const makeService = (persistPath?: string) =>
+  makeConfigService({
+    id: "config-test",
+    manageProcessSignals: false,
+    pubsub: new NoopPubSub(),
+    ...(persistPath === undefined ? {} : { persistPath }),
+  });
+
+describe("ConfigService operations", () => {
+  it("uses tagged errors for invalid mutations", async () => {
+    const service = makeService();
+
+    const putError = await service.handlePut({ operation: "put" } as ConfigRequest)
+      .catch((caught: unknown) => caught);
+    const deleteError = await service.handleDelete({ operation: "delete" } as ConfigRequest)
+      .catch((caught: unknown) => caught);
+
+    expect(putError).toBeInstanceOf(ConfigServiceError);
+    expect(putError).toMatchObject({ _tag: "ConfigServiceError", operation: "put" });
+    expect(deleteError).toBeInstanceOf(ConfigServiceError);
+    expect(deleteError).toMatchObject({ _tag: "ConfigServiceError", operation: "delete" });
+  });
+
+  it("persists the workspace-aware config shape through Effect.tryPromise", async () => {
+    const dir = await mkdtemp(join(tmpdir(), "trustgraph-config-service-"));
+    const persistPath = join(dir, "config.json");
+    const service = makeService(persistPath);
+
+    await service.handlePut({
+      operation: "put",
+      values: [
+        { workspace: "alpha", type: "prompt", key: "system", value: "hello" },
+      ],
+    } as ConfigRequest);
+
+    const persisted = await Bun.file(persistPath).json();
+    await rm(dir, { recursive: true, force: true });
+
+    expect(persisted).toEqual({
+      version: 1,
+      workspaces: {
+        alpha: {
+          prompt: {
+            system: "hello",
+          },
+        },
+      },
+    });
+  });
+
+  it("loads the legacy persisted data shape without try/catch", async () => {
+    const dir = await mkdtemp(join(tmpdir(), "trustgraph-config-service-"));
+    const persistPath = join(dir, "config.json");
+    await Bun.write(
+      persistPath,
+      `{"version":7,"data":{"prompt":{"system":"legacy"}}}`,
+    );
+    const service = makeService(persistPath);
+
+    await service.loadFromDisk();
+    const response = service.handleGet({
+      operation: "get",
+      keys: ["prompt", "system"],
+    } as ConfigRequest);
+    await rm(dir, { recursive: true, force: true });
+
+    expect(response).toEqual({
+      version: 7,
+      values: {
+        system: "legacy",
+      },
+    });
+  });
+});

ts/packages/flow/src/agent/mcp-tool/service.ts

@@ -75,7 +75,7 @@ const mcpToolError = (
   cause: unknown,
   tool?: string,
 ): McpToolError =>
-  new McpToolError({
+  McpToolError.make({
     operation,
     message: errorMessage(cause),
     ...(tool === undefined ? {} : { tool }),
@@ -166,12 +166,9 @@ const invokeConfiguredTool = Effect.fn("McpToolRuntime.invokeTool")(function* (
 
   const result = yield* Effect.acquireUseRelease(
     Effect.tryPromise({
-      try: async () => {
-        await client.connect(transport as unknown as Parameters<Client["connect"]>[0]);
-        return client;
-      },
+      try: () => client.connect(transport as unknown as Parameters<Client["connect"]>[0]),
       catch: (cause) => mcpToolError("connect", cause, name),
-    }),
+    }).pipe(Effect.as(client)),
     (connectedClient) =>
       Effect.tryPromise({
         try: () =>
@@ -318,6 +315,6 @@ export const program = makeFlowProcessorProgram<ProcessorConfig, never, McpToolR
   layer: () => McpToolRuntimeLive,
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/agent/react/service.ts

@@ -132,79 +132,80 @@ const toPromiseRequestor = <TReq, TRes>(
 const buildConfiguredTool = (
   toolId: string,
   data: ToolConfigEntry,
-): AgentTool | null => {
-  const implType = data.type ?? "";
-  const name = data.name ?? "";
-  const description = data.description ?? "";
-  const config = { ...data } as Record<string, unknown>;
+): Effect.Effect<AgentTool | null> =>
+  Effect.gen(function* () {
+    const implType = data.type ?? "";
+    const name = data.name ?? "";
+    const description = data.description ?? "";
+    const config = { ...data } as Record<string, unknown>;
 
-  if (name.length === 0) {
-    console.warn(`[AgentService] Skipping tool with no name: ${toolId}`);
-    return null;
-  }
-
-  switch (implType) {
-    case "knowledge-query":
-      return {
-        name,
-        description:
-          description.length > 0
-            ? description
-            : "Query the knowledge graph for information about entities and their relationships.",
-        args: [{ name: "question", type: "string", description: "The question to ask" }],
-        config,
-        execute: async () => "",
-      };
-
-    case "document-query":
-      return {
-        name,
-        description:
-          description.length > 0
-            ? description
-            : "Search documents for relevant information.",
-        args: [{ name: "question", type: "string", description: "The question to search for" }],
-        config,
-        execute: async () => "",
-      };
-
-    case "triples-query":
-      return {
-        name,
-        description:
-          description.length > 0
-            ? description
-            : "Query for specific triples in the knowledge graph.",
-        args: [
-          { name: "subject", type: "string", description: "Subject entity (optional)" },
-          { name: "predicate", type: "string", description: "Predicate/relationship (optional)" },
-          { name: "object", type: "string", description: "Object entity (optional)" },
-        ],
-        config,
-        execute: async () => "",
-      };
-
-    case "mcp-tool": {
-      const args: ToolArg[] = (data.arguments ?? []).map((arg) => ({
-        name: arg.name ?? "",
-        type: arg.type ?? "string",
-        description: arg.description ?? "",
-      }));
-
-      return {
-        name,
-        description,
-        args,
-        config,
-        execute: async () => "",
-      };
+    if (name.length === 0) {
+      yield* Effect.logWarning(`[AgentService] Skipping tool with no name: ${toolId}`);
+      return null;
     }
 
-    default:
-      console.warn(`[AgentService] Unknown tool type "${implType}" for ${name}`);
-      return null;
-  }
-};
+    switch (implType) {
+      case "knowledge-query":
+        return {
+          name,
+          description:
+            description.length > 0
+              ? description
+              : "Query the knowledge graph for information about entities and their relationships.",
+          args: [{ name: "question", type: "string", description: "The question to ask" }],
+          config,
+          execute: () => Promise.resolve(""),
+        };
+
+      case "document-query":
+        return {
+          name,
+          description:
+            description.length > 0
+              ? description
+              : "Search documents for relevant information.",
+          args: [{ name: "question", type: "string", description: "The question to search for" }],
+          config,
+          execute: () => Promise.resolve(""),
+        };
+
+      case "triples-query":
+        return {
+          name,
+          description:
+            description.length > 0
+              ? description
+              : "Query for specific triples in the knowledge graph.",
+          args: [
+            { name: "subject", type: "string", description: "Subject entity (optional)" },
+            { name: "predicate", type: "string", description: "Predicate/relationship (optional)" },
+            { name: "object", type: "string", description: "Object entity (optional)" },
+          ],
+          config,
+          execute: () => Promise.resolve(""),
+        };
+
+      case "mcp-tool": {
+        const args: ToolArg[] = (data.arguments ?? []).map((arg) => ({
+          name: arg.name ?? "",
+          type: arg.type ?? "string",
+          description: arg.description ?? "",
+        }));
+
+        return {
+          name,
+          description,
+          args,
+          config,
+          execute: () => Promise.resolve(""),
+        };
+      }
+
+      default:
+        yield* Effect.logWarning(`[AgentService] Unknown tool type "${implType}" for ${name}`);
+        return null;
+    }
+  });
 
 const loadConfiguredTools = Effect.fn("AgentRuntime.loadConfiguredTools")(function* (
   config: Record<string, unknown>,
@@ -231,7 +232,7 @@ const loadConfiguredTools = Effect.fn("AgentRuntime.loadConfiguredTools")(functi
       continue;
     }
 
-    const tool = buildConfiguredTool(toolId, decoded.value);
+    const tool = yield* buildConfiguredTool(toolId, decoded.value);
     if (tool === null) continue;
 
     tools.push(tool);
@@ -348,7 +349,7 @@ const executeTool = (
 ): Effect.Effect<string> =>
   Effect.tryPromise({
     try: () => tool.execute(input),
-    catch: (cause) => new AgentToolExecutionError({ message: errorMessage(cause) }),
+    catch: (cause) => AgentToolExecutionError.make({ message: errorMessage(cause) }),
   }).pipe(
     Effect.catch((error: AgentToolExecutionError) =>
       Effect.succeed(`Error executing tool: ${error.message}`),
@@ -473,12 +474,12 @@ const onAgentRequest = Effect.fn("AgentService.onRequest")(function* (
   }).pipe(
     Effect.catch((error: unknown) =>
       Effect.logError(`[AgentService] Error processing request ${requestId}`, {
-        error: error instanceof Error ? error.message : String(error),
+        error: errorMessage(error),
       }).pipe(
         Effect.flatMap(() =>
           responseProducer.send(requestId, {
             chunk_type: "error",
-            content: `Agent error: ${error instanceof Error ? error.message : String(error)}`,
+            content: `Agent error: ${errorMessage(error)}`,
             end_of_message: true,
             end_of_dialog: true,
           }),
@@ -538,7 +539,7 @@ export function makeAgentService(config: ProcessorConfig): AgentService {
       Effect.provideService(AgentRuntime, runtime),
     )),
   );
-  console.log("[AgentService] Service initialized");
+  Effect.runSync(Effect.log("[AgentService] Service initialized"));
   return service;
 }
 
@@ -629,6 +630,6 @@ export const program = makeFlowProcessorProgram<ProcessorConfig, never, AgentRun
   layer: () => AgentRuntimeLive,
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/agent/react/tools.ts

@@ -18,9 +18,14 @@ import type {
   Term,
   Triple,
 } from "@trustgraph/base";
+import { Effect } from "effect";
+import * as O from "effect/Option";
+import * as S from "effect/Schema";
 
 import type { AgentTool, ToolArg } from "./types.js";
 
+const decodeJsonUnknown = S.decodeUnknownOption(S.UnknownFromJsonString);
+
 /**
  * Format a Term to a human-readable string.
  */
@@ -41,17 +46,15 @@ function termToString(term: Term): string {
  * Parse tool input -- accepts either raw JSON or a plain string question.
  */
 function parseQuestion(input: string): string {
-  try {
-    const parsed = JSON.parse(input) as Record<string, unknown>;
-    if (typeof parsed === "object" && parsed !== null && "question" in parsed) {
-      return String(parsed.question);
-    }
-    // If it's a string JSON value, use it directly
-    if (typeof parsed === "string") {
-      return parsed;
-    }
-  } catch {
-    // Not valid JSON -- treat as plain text
+  const decoded = decodeJsonUnknown(input);
+  if (O.isNone(decoded)) return input;
+
+  const parsed = decoded.value;
+  if (typeof parsed === "object" && parsed !== null && "question" in parsed) {
+    return String(parsed.question);
+  }
+  if (typeof parsed === "string") {
+    return parsed;
   }
   return input;
 }
@@ -83,15 +86,15 @@ export function createKnowledgeQueryTool(
         description: "The question to ask the knowledge graph",
       },
     ],
-    async execute(input: string): Promise<string> {
+    execute: (input: string): Promise<string> => Effect.runPromise(Effect.gen(function* () {
       const question = parseQuestion(input);
-      console.log(`[KnowledgeQuery] Executing: "${question.slice(0, 60)}..." collection=${collection}`);
+      yield* Effect.log(`[KnowledgeQuery] Executing: "${question.slice(0, 60)}..." collection=${collection}`);
       const request: GraphRagRequest = {
         query: question,
         ...(collection !== undefined ? { collection } : {}),
       };
-      const res = await client.request(request);
-      console.log(`[KnowledgeQuery] Response (${res.response?.length ?? 0} chars): ${res.error !== undefined ? `ERROR: ${res.error.message}` : `${res.response?.slice(0, 300)}...`}`);
+      const res = yield* Effect.tryPromise(() => client.request(request));
+      yield* Effect.log(`[KnowledgeQuery] Response (${res.response?.length ?? 0} chars): ${res.error !== undefined ? `ERROR: ${res.error.message}` : `${res.response?.slice(0, 300)}...`}`);
 
       // Extract explain data if embedded in the response
       const rawRes = res as Record<string, unknown>;
@@ -100,15 +103,15 @@ export function createKnowledgeQueryTool(
         rawRes.explain_triples !== undefined &&
         onExplain !== undefined
       ) {
-        onExplain({
+        yield* Effect.sync(() => onExplain({
           explainId: (rawRes.explain_id as string) ?? "",
           triples: rawRes.explain_triples as Triple[],
-        });
+        }));
       }
 
       if (res.error !== undefined) return `Error: ${res.error.message}`;
       return res.response;
-    },
+    })),
   };
 }
 
@@ -130,16 +133,16 @@ export function createDocumentQueryTool(
         description: "The question to search documents for",
       },
     ],
-    async execute(input: string): Promise<string> {
+    execute: (input: string): Promise<string> => Effect.runPromise(Effect.gen(function* () {
       const question = parseQuestion(input);
       const request: DocumentRagRequest = {
         query: question,
         ...(collection !== undefined ? { collection } : {}),
       };
-      const res = await client.request(request);
+      const res = yield* Effect.tryPromise(() => client.request(request));
       if (res.error !== undefined) return `Error: ${res.error.message}`;
       return res.response;
-    },
+    })),
   };
 }
 
@@ -152,39 +155,42 @@ function parseTriplesInput(input: string): {
   o?: Term;
   limit?: number;
 } {
-  try {
-    const parsed = JSON.parse(input) as Record<string, unknown>;
-
-    const toTerm = (val: unknown): Term | undefined => {
-      if (typeof val === "string") {
-        return { type: "LITERAL", value: val };
-      }
-      if (typeof val === "object" && val !== null && "type" in val) {
-        return val as Term;
-      }
-      return undefined;
-    };
-
-    const result: {
-      s?: Term;
-      p?: Term;
-      o?: Term;
-      limit?: number;
-    } = {};
-    const s = toTerm(parsed.subject ?? parsed.s);
-    const p = toTerm(parsed.predicate ?? parsed.p);
-    const o = toTerm(parsed.object ?? parsed.o);
-    if (s !== undefined) result.s = s;
-    if (p !== undefined) result.p = p;
-    if (o !== undefined) result.o = o;
-    if (typeof parsed.limit === "number") result.limit = parsed.limit;
-    return result;
-  } catch {
-    // If not valid JSON, treat as a subject search
+  const decoded = decodeJsonUnknown(input);
+  if (
+    O.isNone(decoded) ||
+    typeof decoded.value !== "object" ||
+    decoded.value === null
+  ) {
     return {
       s: { type: "LITERAL", value: input },
     };
   }
+
+  const parsed = decoded.value as Record<string, unknown>;
+  const toTerm = (val: unknown): Term | undefined => {
+    if (typeof val === "string") {
+      return { type: "LITERAL", value: val };
+    }
+    if (typeof val === "object" && val !== null && "type" in val) {
+      return val as Term;
+    }
+    return undefined;
+  };
+
+  const result: {
+    s?: Term;
+    p?: Term;
+    o?: Term;
+    limit?: number;
+  } = {};
+  const s = toTerm(parsed.subject ?? parsed.s);
+  const p = toTerm(parsed.predicate ?? parsed.p);
+  const o = toTerm(parsed.object ?? parsed.o);
+  if (s !== undefined) result.s = s;
+  if (p !== undefined) result.p = p;
+  if (o !== undefined) result.o = o;
+  if (typeof parsed.limit === "number") result.limit = parsed.limit;
+  return result;
 }
 
 /**
@@ -216,7 +222,7 @@ export function createTriplesQueryTool(
         description: "The object entity to search for (optional)",
       },
     ],
-    async execute(input: string): Promise<string> {
+    execute: (input: string): Promise<string> => Effect.runPromise(Effect.gen(function* () {
       const { s, p, o, limit } = parseTriplesInput(input);
       const request: TriplesQueryRequest = {
         limit: limit ?? 20,
@@ -225,7 +231,7 @@ export function createTriplesQueryTool(
         ...(o !== undefined ? { o } : {}),
         ...(collection !== undefined ? { collection } : {}),
       };
-      const res = await client.request(request);
+      const res = yield* Effect.tryPromise(() => client.request(request));
 
       if (res.error !== undefined) return `Error: ${res.error.message}`;
 
@@ -238,7 +244,7 @@ export function createTriplesQueryTool(
           `(${termToString(t.s)}) -[${termToString(t.p)}]-> (${termToString(t.o)})`,
       );
       return lines.join("\n");
-    },
+    })),
   };
 }
 
@@ -258,12 +264,12 @@ export function createMcpTool(
     name: toolName,
     description,
     args,
-    async execute(input: string): Promise<string> {
-      const res = await client.request({ name: toolName, parameters: input });
+    execute: (input: string): Promise<string> => Effect.runPromise(Effect.gen(function* () {
+      const res = yield* Effect.tryPromise(() => client.request({ name: toolName, parameters: input }));
       if (res.error !== undefined) return `Error: ${res.error.message}`;
       if (res.text !== undefined) return res.text;
       if (res.object !== undefined) return res.object;
       return "No content";
-    },
+    })),
   };
 }

ts/packages/flow/src/chunking/service.ts

@@ -91,7 +91,7 @@ export function makeChunkingService(config: ProcessorConfig): ChunkingService {
   const service = makeFlowProcessor(config, {
     specifications: makeChunkingSpecs(),
   });
-  console.log("[ChunkingService] Service initialized");
+  Effect.runSync(Effect.log("[ChunkingService] Service initialized"));
   return service;
 }
 
@@ -102,6 +102,6 @@ export const program = makeFlowProcessorProgram({
   specs: () => makeChunkingSpecs(),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/config/service.ts

@@ -11,7 +11,7 @@
  * Python reference: trustgraph-flow/trustgraph/config/service/service.py
  */
 
-import { Effect } from "effect";
+import { Duration, Effect } from "effect";
 import * as S from "effect/Schema";
 import {
   makeAsyncProcessor,
@@ -45,6 +45,20 @@ const ConfigPushSchema = S.Struct({
   config: S.Record(S.String, S.Unknown),
 });
 
+export class ConfigServiceError extends S.TaggedErrorClass<ConfigServiceError>()(
+  "ConfigServiceError",
+  {
+    message: S.String,
+    operation: S.String,
+  },
+) {}
+
+const configServiceError = (operation: string, cause: unknown): ConfigServiceError =>
+  ConfigServiceError.make({
+    operation,
+    message: errorMessage(cause),
+  });
+
 const DEFAULT_WORKSPACE = "default";
 
 interface ConfigKeyLike {
@@ -62,6 +76,14 @@ interface ConfigValueLike {
 type NamespaceStore = Map<string, unknown>;
 type WorkspaceStore = Map<string, NamespaceStore>;
 
+const PersistedConfigSchema = S.Struct({
+  version: S.optionalKey(S.Number),
+  data: S.optionalKey(S.Record(S.String, S.Record(S.String, S.Unknown))),
+  workspaces: S.optionalKey(S.Record(S.String, S.Record(S.String, S.Record(S.String, S.Unknown)))),
+});
+const PersistedConfigJsonSchema = PersistedConfigSchema.pipe(S.fromJsonString);
+type PersistedConfig = typeof PersistedConfigSchema.Type;
+
 function isRecord(value: unknown): value is Record<string, unknown> {
   return typeof value === "object" && value !== null && !Array.isArray(value);
 }
@@ -70,13 +92,63 @@ function optionalString(value: unknown): string | undefined {
   return typeof value === "string" && value.length > 0 ? value : undefined;
 }
 
+function toPersistedWorkspaces(
+  store: Map<string, WorkspaceStore>,
+): Record<string, Record<string, Record<string, unknown>>> {
+  const workspaces: Record<string, Record<string, Record<string, unknown>>> = {};
+
+  for (const [workspace, ws] of store) {
+    const workspaceData: Record<string, Record<string, unknown>> = {};
+    for (const [namespace, subMap] of ws) {
+      const obj: Record<string, unknown> = {};
+      for (const [k, v] of subMap) {
+        obj[k] = v;
+      }
+      workspaceData[namespace] = obj;
+    }
+    workspaces[workspace] = workspaceData;
+  }
+
+  return workspaces;
+}
+
+function hydratePersistedConfig(
+  store: Map<string, WorkspaceStore>,
+  parsed: PersistedConfig,
+): void {
+  store.clear();
+
+  if (parsed.workspaces !== undefined) {
+    for (const [workspace, namespaces] of Object.entries(parsed.workspaces)) {
+      const ws = new Map<string, NamespaceStore>();
+      for (const [namespace, obj] of Object.entries(namespaces)) {
+        const subMap = new Map<string, unknown>();
+        for (const [k, v] of Object.entries(obj)) {
+          subMap.set(k, v);
+        }
+        ws.set(namespace, subMap);
+      }
+      store.set(workspace, ws);
+    }
+    return;
+  }
+
+  const ws = new Map<string, NamespaceStore>();
+  for (const [namespace, obj] of Object.entries(parsed.data ?? {})) {
+    const subMap = new Map<string, unknown>();
+    for (const [k, v] of Object.entries(obj)) {
+      subMap.set(k, v);
+    }
+    ws.set(namespace, subMap);
+  }
+  store.set(DEFAULT_WORKSPACE, ws);
+}
+
 export type ConfigService = AsyncProcessorRuntime & Record<string, any>;
 
 export function makeConfigService(config: ConfigServiceConfig): ConfigService {
   const service = makeAsyncProcessor(config, {
-    run: async () => {
-      await service.run();
-    },
+    run: () => service.run(),
   }) as ConfigService;
   const baseStop = service.stop;
   service.store = new Map<string, WorkspaceStore>();
@@ -88,115 +160,183 @@ export function makeConfigService(config: ConfigServiceConfig): ConfigService {
   Object.assign(service, {
 
 
-      run: async function(this: ConfigService): Promise<void> {
-        // Optionally load persisted state
-        if (this.persistPath !== null) {
-          await this.loadFromDisk();
-        }
+      run: function(this: ConfigService): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            // Optionally load persisted state
+            if (service.persistPath !== null) {
+              yield* Effect.tryPromise({
+                try: () => service.loadFromDisk(),
+                catch: (cause) => configServiceError("load", cause),
+              });
+            }
 
-        // Create producers
-        this.responseProducer = await this.pubsub.createProducer<ConfigResponse>({
-          topic: topics.configResponse,
-          schema: ConfigResponseSchema,
-        });
-        this.pushProducer = await this.pubsub.createProducer<ConfigPush>({
-          topic: topics.configPush,
-          schema: ConfigPushSchema,
-        });
+            // Create producers
+            service.responseProducer = yield* Effect.tryPromise({
+              try: () =>
+                service.pubsub.createProducer<ConfigResponse>({
+                  topic: topics.configResponse,
+                  schema: ConfigResponseSchema,
+                }),
+              catch: (cause) => configServiceError("response-producer", cause),
+            });
+            service.pushProducer = yield* Effect.tryPromise({
+              try: () =>
+                service.pubsub.createProducer<ConfigPush>({
+                  topic: topics.configPush,
+                  schema: ConfigPushSchema,
+                }),
+              catch: (cause) => configServiceError("push-producer", cause),
+            });
 
-        // Create consumer for config requests
-        this.consumer = await this.pubsub.createConsumer<ConfigRequest>({
-          topic: topics.configRequest,
-          subscription: `${this.config.id}-config-request`,
-          schema: ConfigRequestSchema,
-        });
+            // Create consumer for config requests
+            service.consumer = yield* Effect.tryPromise({
+              try: () =>
+                service.pubsub.createConsumer<ConfigRequest>({
+                  topic: topics.configRequest,
+                  subscription: `${service.config.id}-config-request`,
+                  schema: ConfigRequestSchema,
+                }),
+              catch: (cause) => configServiceError("consumer", cause),
+            });
 
-        // Push initial config
-        await this.pushConfig();
+            // Push initial config
+            yield* Effect.tryPromise({
+              try: () => service.pushConfig(),
+              catch: (cause) => configServiceError("push-initial-config", cause),
+            });
 
-        console.log(`[ConfigService] Listening on ${topics.configRequest}`);
+            yield* Effect.log(`[ConfigService] Listening on ${topics.configRequest}`);
 
-        // Main consume loop
-        while (this.running) {
-          try {
-            const consumer = this.consumer;
-            if (consumer === null) throw new Error("Config consumer not started");
+            // Main consume loop
+            while (service.running) {
+              const shouldContinue = yield* Effect.gen(function* () {
+              const consumer = service.consumer;
+              if (consumer === null) {
+                return yield* configServiceError("consume", "Config consumer not started");
+              }
 
-            const msg = await consumer.receive(2000);
-            if (msg === null) continue;
+              const msg = yield* Effect.tryPromise({
+                try: () => consumer.receive(2000),
+                catch: (cause) => configServiceError("consume-receive", cause),
+              });
+              if (msg === null) return true;
 
-            await this.handleMessage(msg);
-            await consumer.acknowledge(msg);
-          } catch (err) {
-            if (!this.running) break;
-            console.error("[ConfigService] Error in consume loop:", err);
-            await sleep(1000);
-          }
-        }
+              yield* Effect.tryPromise({
+                try: () => service.handleMessage(msg),
+                catch: (cause) => configServiceError("consume-handle", cause),
+              });
+              yield* Effect.tryPromise({
+                try: () => consumer.acknowledge(msg),
+                catch: (cause) => configServiceError("consume-acknowledge", cause),
+              });
+
+              return true;
+            }).pipe(
+              Effect.catch((err) => {
+                if (!service.running) return Effect.succeed(false);
+                return Effect.logError("[ConfigService] Error in consume loop", { error: err.message }).pipe(
+                  Effect.flatMap(() => Effect.sleep(Duration.millis(1000))),
+                  Effect.as(true),
+                );
+              }),
+            );
+              if (!shouldContinue) break;
+            }
+          }),
+        );
 
         },
 
 
 
-      handleMessage: async function(this: ConfigService, msg: Message<ConfigRequest>): Promise<void> {
-        const request = await Effect.runPromise(S.decodeUnknownEffect(ConfigRequestSchema)(msg.value()));
-        const props = msg.properties();
-        const requestId = props.id;
+      handleMessage: function(this: ConfigService, msg: Message<ConfigRequest>): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const request = yield* S.decodeUnknownEffect(ConfigRequestSchema)(msg.value()).pipe(
+              Effect.mapError((cause) => configServiceError("decode", cause)),
+            );
+            const props = msg.properties();
+            const requestId = props.id;
 
-        if (requestId === undefined || requestId.length === 0) {
-          console.warn("[ConfigService] Received request without id, ignoring");
-          return;
-        }
+            if (requestId === undefined || requestId.length === 0) {
+              yield* Effect.logWarning("[ConfigService] Received request without id, ignoring");
+              return;
+            }
 
-        try {
-          const response = await this.handleOperation(request);
-          const responseProducer = this.responseProducer;
-          if (responseProducer === null) throw new Error("Config response producer not started");
-          await responseProducer.send(response, { id: requestId });
-        } catch (err) {
-          const message = errorMessage(err);
-          const responseProducer = this.responseProducer;
-          if (responseProducer === null) throw new Error("Config response producer not started");
-          await responseProducer.send(
-            {
-              error: { type: "config-error", message },
-            },
-            { id: requestId },
-          );
-        }
+            const sendResponse = (response: ConfigResponse): Effect.Effect<void, ConfigServiceError> =>
+              Effect.gen(function* () {
+                const responseProducer = service.responseProducer;
+                if (responseProducer === null) {
+                  return yield* configServiceError("respond", "Config response producer not started");
+                }
+                yield* Effect.tryPromise({
+                  try: () => responseProducer.send(response, { id: requestId }),
+                  catch: (cause) => configServiceError("respond", cause),
+                });
+              });
+
+            yield* Effect.gen(function* () {
+              const response = yield* Effect.tryPromise<ConfigResponse, ConfigServiceError>({
+                try: () => service.handleOperation(request),
+                catch: (cause) => configServiceError("operation", cause),
+              });
+              yield* sendResponse(response);
+            }).pipe(
+              Effect.catch((err) =>
+                sendResponse({
+                  error: { type: "config-error", message: err.message },
+                }),
+              ),
+            );
+          }),
+        );
 
         },
 
 
 
-      handleOperation: async function(this: ConfigService, request: ConfigRequest): Promise<ConfigResponse> {
-        const op: ConfigOperation = request.operation;
+      handleOperation: function(this: ConfigService, request: ConfigRequest): Promise<ConfigResponse> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const op: ConfigOperation = request.operation;
 
-        switch (op) {
-          case "get":
-            return this.handleGet(request);
+            switch (op) {
+              case "get":
+                return service.handleGet(request);
 
-          case "put":
-            return await this.handlePut(request);
+              case "put":
+                return yield* Effect.tryPromise<ConfigResponse, ConfigServiceError>({
+                  try: () => service.handlePut(request),
+                  catch: (cause) => configServiceError("put", cause),
+                });
 
-          case "delete":
-            return await this.handleDelete(request);
+              case "delete":
+                return yield* Effect.tryPromise<ConfigResponse, ConfigServiceError>({
+                  try: () => service.handleDelete(request),
+                  catch: (cause) => configServiceError("delete", cause),
+                });
 
-          case "list":
-            return this.handleList(request);
+              case "list":
+                return service.handleList(request);
 
-          case "config":
-            return this.handleConfigDump(request);
+              case "config":
+                return service.handleConfigDump(request);
 
-          case "getvalues":
-            return this.handleGetValues(request);
+              case "getvalues":
+                return service.handleGetValues(request);
 
-          case "getvalues-all-ws":
-            return this.handleGetValuesAllWorkspaces(request);
+              case "getvalues-all-ws":
+                return service.handleGetValuesAllWorkspaces(request);
 
-          default:
-            throw new Error(`Unknown config operation: ${op as string}`);
-        }
+              default:
+                return yield* configServiceError("operation", `Unknown config operation: ${op as string}`);
+            }
+          }),
+        );
 
         },
 
@@ -364,76 +504,104 @@ export function makeConfigService(config: ConfigServiceConfig): ConfigService {
 
 
 
-      handlePut: async function(this: ConfigService, request: ConfigRequest): Promise<ConfigResponse> {
-        const values = this.configValues(request);
-        if (values.length === 0) throw new Error("Put requires config values");
+      handlePut: function(this: ConfigService, request: ConfigRequest): Promise<ConfigResponse> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const values = service.configValues(request);
+            if (values.length === 0) return yield* configServiceError("put", "Put requires config values");
 
-        for (const item of values) {
-          this.namespaceStore(item.workspace ?? DEFAULT_WORKSPACE, item.type, true)?.set(item.key, item.value);
-        }
+            for (const item of values) {
+              service.namespaceStore(item.workspace ?? DEFAULT_WORKSPACE, item.type, true)?.set(item.key, item.value);
+            }
 
-        this.version++;
-        await this.persist();
-        await this.pushConfig();
+            service.version++;
+            yield* Effect.tryPromise({
+              try: () => service.persist(),
+              catch: (cause) => configServiceError("persist", cause),
+            });
+            yield* Effect.tryPromise({
+              try: () => service.pushConfig(),
+              catch: (cause) => configServiceError("push-config", cause),
+            });
 
-        return { version: this.version };
+            return { version: service.version };
+          }),
+        );
 
         },
 
 
 
-      handleDelete: async function(this: ConfigService, request: ConfigRequest): Promise<ConfigResponse> {
-        const workspace = this.workspaceFor(request);
-        const objectKeys = this.objectKeys(request);
-        if (objectKeys.length > 0) {
-          for (const key of objectKeys) {
-            const ws = this.workspaceStore(workspace, false);
-            if (ws === undefined) continue;
-            if (key.key === undefined) {
-              ws.delete(key.type);
-            } else {
-              const ns = ws.get(key.type);
-              ns?.delete(key.key);
-              if (ns !== undefined && ns.size === 0) ws.delete(key.type);
+      handleDelete: function(this: ConfigService, request: ConfigRequest): Promise<ConfigResponse> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const workspace = service.workspaceFor(request);
+            const objectKeys = service.objectKeys(request);
+            if (objectKeys.length > 0) {
+              for (const key of objectKeys) {
+                const ws = service.workspaceStore(workspace, false);
+                if (ws === undefined) continue;
+                if (key.key === undefined) {
+                  ws.delete(key.type);
+                } else {
+                  const ns = ws.get(key.type);
+                  ns?.delete(key.key);
+                  if (ns !== undefined && ns.size === 0) ws.delete(key.type);
+                }
+              }
+
+              service.version++;
+              yield* Effect.tryPromise({
+                try: () => service.persist(),
+                catch: (cause) => configServiceError("persist", cause),
+              });
+              yield* Effect.tryPromise({
+                try: () => service.pushConfig(),
+                catch: (cause) => configServiceError("push-config", cause),
+              });
+              return { version: service.version };
             }
-          }
 
-          this.version++;
-          await this.persist();
-          await this.pushConfig();
-          return { version: this.version };
-        }
-
-        const keys = this.stringKeys(request);
-        if (keys.length === 0) {
-          throw new Error("Delete requires at least one key");
-        }
-
-        const namespace = keys[0];
-        const ws = this.workspaceStore(workspace, false);
-        if (ws === undefined) return { version: this.version };
-
-        if (keys.length === 1) {
-          // Delete entire namespace
-          ws.delete(namespace);
-        } else {
-          // Delete specific keys within namespace
-          const subMap = ws.get(namespace);
-          if (subMap !== undefined) {
-            for (let i = 1; i < keys.length; i++) {
-              subMap.delete(keys[i]);
+            const keys = service.stringKeys(request);
+            if (keys.length === 0) {
+              return yield* configServiceError("delete", "Delete requires at least one key");
             }
-            if (subMap.size === 0) {
+
+            const namespace = keys[0];
+            const ws = service.workspaceStore(workspace, false);
+            if (ws === undefined) return { version: service.version };
+
+            if (keys.length === 1) {
+              // Delete entire namespace
               ws.delete(namespace);
+            } else {
+              // Delete specific keys within namespace
+              const subMap = ws.get(namespace);
+              if (subMap !== undefined) {
+                for (let i = 1; i < keys.length; i++) {
+                  subMap.delete(keys[i]);
+                }
+                if (subMap.size === 0) {
+                  ws.delete(namespace);
+                }
+              }
             }
-          }
-        }
 
-        this.version++;
-        await this.persist();
-        await this.pushConfig();
+            service.version++;
+            yield* Effect.tryPromise({
+              try: () => service.persist(),
+              catch: (cause) => configServiceError("persist", cause),
+            });
+            yield* Effect.tryPromise({
+              try: () => service.pushConfig(),
+              catch: (cause) => configServiceError("push-config", cause),
+            });
 
-        return { version: this.version };
+            return { version: service.version };
+          }),
+        );
 
         },
 
@@ -528,130 +696,140 @@ export function makeConfigService(config: ConfigServiceConfig): ConfigService {
 
 
 
-      pushConfig: async function(this: ConfigService): Promise<void> {
-        const pushProducer = this.pushProducer;
-        if (pushProducer === null) return;
+      pushConfig: function(this: ConfigService): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const pushProducer = service.pushProducer;
+            if (pushProducer === null) return;
 
-        const config: Record<string, unknown> = {};
-        const ws = this.workspaceStore(DEFAULT_WORKSPACE, false);
-        for (const [namespace, subMap] of ws ?? new Map<string, NamespaceStore>()) {
-          const obj: Record<string, unknown> = {};
-          for (const [k, v] of subMap) {
-            obj[k] = v;
-          }
-          config[namespace] = obj;
-        }
-
-        await pushProducer.send({
-          version: this.version,
-          config,
-        });
-
-        console.log(`[ConfigService] Pushed configuration version ${this.version}`);
-
-        },
-
-
-
-      persist: async function(this: ConfigService): Promise<void> {
-        const persistPath = this.persistPath;
-        if (persistPath === null) return;
-
-        try {
-          const workspaces: Record<string, Record<string, Record<string, unknown>>> = {};
-
-          for (const [workspace, ws] of this.store) {
-            const workspaceData: Record<string, Record<string, unknown>> = {};
-            for (const [namespace, subMap] of ws) {
+            const config: Record<string, unknown> = {};
+            const ws = service.workspaceStore(DEFAULT_WORKSPACE, false);
+            for (const [namespace, subMap] of ws ?? new Map<string, NamespaceStore>()) {
               const obj: Record<string, unknown> = {};
               for (const [k, v] of subMap) {
                 obj[k] = v;
               }
-              workspaceData[namespace] = obj;
+              config[namespace] = obj;
             }
-            workspaces[workspace] = workspaceData;
-          }
 
-          const json = JSON.stringify(
-            { version: this.version, workspaces },
-            null,
-            2,
-          );
+            yield* Effect.tryPromise({
+              try: () =>
+                pushProducer.send({
+                  version: service.version,
+                  config,
+                }),
+              catch: (cause) => configServiceError("push-config", cause),
+            });
 
-          await writeTextFile(persistPath, json);
-        } catch (err) {
-          await Effect.runPromise(Effect.logError("[ConfigService] Failed to persist config", { error: errorMessage(err) }));
-        }
+            yield* Effect.log(`[ConfigService] Pushed configuration version ${service.version}`);
+          }),
+        );
 
         },
 
 
 
-      loadFromDisk: async function(this: ConfigService): Promise<void> {
-        const persistPath = this.persistPath;
-        if (persistPath === null) return;
+      persist: function(this: ConfigService): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const persistPath = service.persistPath;
+            if (persistPath === null) return;
+            const payload = {
+              version: service.version,
+              workspaces: toPersistedWorkspaces(service.store),
+            };
 
-        try {
-          const raw = await readTextFile(persistPath);
-          const parsed = JSON.parse(raw) as {
-            version: number;
-            data?: Record<string, Record<string, unknown>>;
-            workspaces?: Record<string, Record<string, Record<string, unknown>>>;
-          };
+            const json = yield* S.encodeUnknownEffect(S.UnknownFromJsonString)(payload).pipe(
+              Effect.mapError((cause) => configServiceError("persist-encode", cause)),
+            );
 
-          this.version = parsed.version ?? 0;
-          this.store.clear();
-
-          if (parsed.workspaces !== undefined) {
-            for (const [workspace, namespaces] of Object.entries(parsed.workspaces)) {
-              const ws = new Map<string, NamespaceStore>();
-              for (const [namespace, obj] of Object.entries(namespaces)) {
-                const subMap = new Map<string, unknown>();
-                for (const [k, v] of Object.entries(obj)) {
-                  subMap.set(k, v);
-                }
-                ws.set(namespace, subMap);
-              }
-              this.store.set(workspace, ws);
-            }
-          } else {
-            const ws = new Map<string, NamespaceStore>();
-            for (const [namespace, obj] of Object.entries(parsed.data ?? {})) {
-              const subMap = new Map<string, unknown>();
-              for (const [k, v] of Object.entries(obj)) {
-                subMap.set(k, v);
-              }
-              ws.set(namespace, subMap);
-            }
-            this.store.set(DEFAULT_WORKSPACE, ws);
-          }
-
-          console.log(
-            `[ConfigService] Loaded persisted config (version=${this.version}, workspaces=${this.store.size})`,
-          );
-        } catch {
-          // File doesn't exist yet or is invalid — start fresh
-          await Effect.runPromise(Effect.log("[ConfigService] No persisted config found, starting fresh"));
-        }
+            yield* Effect.tryPromise({
+              try: () => writeTextFile(persistPath, json),
+              catch: (cause) => configServiceError("persist-write", cause),
+            });
+          }).pipe(
+            Effect.catch((err) =>
+              Effect.logError("[ConfigService] Failed to persist config", { error: err.message }),
+            ),
+          ),
+        );
 
         },
 
 
 
-      stop: async function(this: ConfigService): Promise<void> {
-        if (this.consumer !== null) {
-          await this.consumer.close();
-          this.consumer = null;
-        }
-        if (this.responseProducer !== null) {
-          await this.responseProducer.close();
-          this.responseProducer = null;
-        }
-        if (this.pushProducer !== null) {
-          await this.pushProducer.close();
-          this.pushProducer = null;
-        }
-        await baseStop();
+      loadFromDisk: function(this: ConfigService): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const persistPath = service.persistPath;
+            if (persistPath === null) return;
+
+            const parsed = yield* Effect.gen(function* () {
+              const raw = yield* Effect.tryPromise({
+                try: () => readTextFile(persistPath),
+                catch: (cause) => configServiceError("persist-read", cause),
+              });
+              return yield* S.decodeUnknownEffect(PersistedConfigJsonSchema)(raw).pipe(
+                Effect.mapError((cause) => configServiceError("persist-decode", cause)),
+              );
+            }).pipe(
+              Effect.catch(() =>
+                Effect.log("[ConfigService] No persisted config found, starting fresh").pipe(
+                  Effect.as(null as PersistedConfig | null),
+                ),
+              ),
+            );
+
+            if (parsed === null) return;
+
+            service.version = parsed.version ?? 0;
+            hydratePersistedConfig(service.store, parsed);
+
+            yield* Effect.log(`[ConfigService] Loaded persisted config (version=${service.version}, workspaces=${service.store.size})`);
+          }),
+        );
+
+        },
+
+
+
+      stop: function(this: ConfigService): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const consumer = service.consumer;
+            if (consumer !== null) {
+              yield* Effect.tryPromise({
+                try: () => consumer.close(),
+                catch: (cause) => configServiceError("close-consumer", cause),
+              });
+              service.consumer = null;
+            }
+            const responseProducer = service.responseProducer;
+            if (responseProducer !== null) {
+              yield* Effect.tryPromise({
+                try: () => responseProducer.close(),
+                catch: (cause) => configServiceError("close-response-producer", cause),
+              });
+              service.responseProducer = null;
+            }
+            const pushProducer = service.pushProducer;
+            if (pushProducer !== null) {
+              yield* Effect.tryPromise({
+                try: () => pushProducer.close(),
+                catch: (cause) => configServiceError("close-push-producer", cause),
+              });
+              service.pushProducer = null;
+            }
+            yield* Effect.tryPromise({
+              try: () => baseStop(),
+              catch: (cause) => configServiceError("stop", cause),
+            });
+          }),
+        );
 
         }
   });
@@ -660,10 +838,6 @@ export function makeConfigService(config: ConfigServiceConfig): ConfigService {
 
 export const ConfigService = makeConfigService;
 
-function sleep(ms: number): Promise<void> {
-  return new Promise((resolve) => setTimeout(resolve, ms));
-}
-
 export const loadConfigServiceRuntimeConfig = Effect.fn("loadConfigServiceRuntimeConfig")(function* () {
   const processorConfig = yield* loadProcessorRuntimeConfig("config-svc", {
     manageProcessSignals: false,
@@ -681,6 +855,6 @@ export const program = makeProcessorProgram({
   make: (config) => makeConfigService(config),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/cores/service.ts

@@ -12,6 +12,7 @@
 
 import {
   makeAsyncProcessor,
+  makeProcessorProgram,
   type ProcessorConfig,
   type AsyncProcessorRuntime,
   topics,
@@ -19,10 +20,11 @@ import {
   type KnowledgeResponse,
   type Triple,
   type Term,
+  errorMessage,
 } from "@trustgraph/base";
-import { makeProcessorProgram } from "@trustgraph/base";
 import type { Message } from "@trustgraph/base";
-import { Effect } from "effect";
+import { Config, Duration, Effect } from "effect";
+import * as S from "effect/Schema";
 import { ensureDirectory, joinPath, readTextFile, writeTextFile } from "../runtime/effect-files.js";
 
 export interface KnowledgeCoreServiceConfig extends ProcessorConfig {
@@ -42,18 +44,88 @@ interface DocumentEmbeddingsCore {
 
 export type KnowledgeCoreService = AsyncProcessorRuntime & Record<string, any>;
 
+export class KnowledgeCoreServiceError extends S.TaggedErrorClass<KnowledgeCoreServiceError>()(
+  "KnowledgeCoreServiceError",
+  {
+    message: S.String,
+    operation: S.String,
+  },
+) {}
+
+interface KnowledgeResponseProducer {
+  send(response: KnowledgeResponse, properties: { id: string }): Promise<void>;
+  close(): Promise<void>;
+}
+
+interface CloseableResource {
+  close(): Promise<void>;
+}
+
+const knowledgeCoreServiceError = (operation: string, cause: unknown): KnowledgeCoreServiceError =>
+  KnowledgeCoreServiceError.make({
+    operation,
+    message: errorMessage(cause),
+  });
+
+const tryPromise = <A>(
+  operation: string,
+  evaluate: () => Promise<A>,
+): Effect.Effect<A, KnowledgeCoreServiceError> =>
+  Effect.tryPromise({
+    try: evaluate,
+    catch: (cause) => knowledgeCoreServiceError(operation, cause),
+  });
+
+const trySync = <A>(
+  operation: string,
+  evaluate: () => A,
+): Effect.Effect<A, KnowledgeCoreServiceError> =>
+  Effect.try({
+    try: evaluate,
+    catch: (cause) => knowledgeCoreServiceError(operation, cause),
+  });
+
+const failPromise = (operation: string, cause: unknown): Promise<never> =>
+  Effect.runPromise(Effect.fail(knowledgeCoreServiceError(operation, cause)));
+
+const sendResponse = (
+  service: KnowledgeCoreService,
+  response: KnowledgeResponse,
+  requestId: string,
+  operation = "respond",
+): Effect.Effect<void, KnowledgeCoreServiceError> =>
+  Effect.gen(function* () {
+    const responseProducer = service.responseProducer as KnowledgeResponseProducer | null | undefined;
+    if (responseProducer === null || responseProducer === undefined) {
+      return yield* knowledgeCoreServiceError(operation, "Knowledge response producer not started");
+    }
+
+    yield* tryPromise(operation, () => responseProducer.send(response, { id: requestId }));
+  });
+
+const closeResource = (
+  resource: CloseableResource,
+  operation: string,
+): Effect.Effect<void> =>
+  tryPromise(operation, () => resource.close()).pipe(
+    Effect.catch((error) =>
+      Effect.logError("[KnowledgeCoreService] Failed to close resource", {
+        error: error.message,
+        operation: error.operation,
+      }),
+    ),
+  );
+
 export function makeKnowledgeCoreService(config: KnowledgeCoreServiceConfig): KnowledgeCoreService {
   const service = makeAsyncProcessor(config, {
-    run: async () => {
-      await service.run();
-    },
+    run: () => service.run(),
   }) as KnowledgeCoreService;
   const baseStop = service.stop;
   service.cores = new Map<string, KnowledgeCore>();
   service.deCores = new Map<string, DocumentEmbeddingsCore[]>();
   service.consumer = null;
   service.responseProducer = null;
-  const dataDir = config.dataDir ?? process.env.KNOWLEDGE_DATA_DIR ?? "./data/knowledge";
+  const dataDir = config.dataDir ?? "./data/knowledge";
   service.dataDir = dataDir;
   service.persistPath = joinPath(dataDir, "knowledge-state.json");
   Object.assign(service, {
@@ -66,68 +138,106 @@ export function makeKnowledgeCoreService(config: KnowledgeCoreServiceConfig): Kn
 
 
 
-      run: async function(this: KnowledgeCoreService): Promise<void> {
-        await ensureDirectory(this.dataDir);
-        // Load persisted state
-        await this.loadFromDisk();
+      run: function(this: KnowledgeCoreService): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            if (config.dataDir === undefined) {
+              const configuredDataDir = yield* Config.string("KNOWLEDGE_DATA_DIR").pipe(
+                Config.withDefault("./data/knowledge"),
+              );
+              service.dataDir = configuredDataDir;
+              service.persistPath = joinPath(configuredDataDir, "knowledge-state.json");
+            }
 
-        // Create producer
-        this.responseProducer = await this.pubsub.createProducer<KnowledgeResponse>({
-          topic: topics.knowledgeResponse,
-        });
+            yield* tryPromise("ensure-directory", () => ensureDirectory(service.dataDir));
+            // Load persisted state
+            yield* tryPromise("load", () => service.loadFromDisk());
 
-        // Create consumer
-        this.consumer = await this.pubsub.createConsumer<KnowledgeRequest>({
-          topic: topics.knowledgeRequest,
-          subscription: `${this.config.id}-knowledge-request`,
-        });
+            // Create producer
+            service.responseProducer = yield* tryPromise("response-producer", () =>
+              service.pubsub.createProducer<KnowledgeResponse>({
+                topic: topics.knowledgeResponse,
+              }),
+            );
 
-        console.log(`[KnowledgeCoreService] Listening on ${topics.knowledgeRequest}`);
+            // Create consumer
+            service.consumer = yield* tryPromise("consumer", () =>
+              service.pubsub.createConsumer<KnowledgeRequest>({
+                topic: topics.knowledgeRequest,
+                subscription: `${service.config.id}-knowledge-request`,
+              }),
+            );
 
-        // Main consume loop
-        while (this.running) {
-          try {
-            const msg = await this.consumer.receive(2000);
-            if (msg === null) continue;
+            yield* Effect.log(`[KnowledgeCoreService] Listening on ${topics.knowledgeRequest}`);
 
-            await this.handleMessage(msg);
-            await this.consumer.acknowledge(msg);
-          } catch (err) {
-            if (!this.running) break;
-            console.error("[KnowledgeCoreService] Error in consume loop:", err);
-            await sleep(1000);
-          }
-        }
+            // Main consume loop
+            while (service.running) {
+              const shouldContinue = yield* Effect.gen(function* () {
+                const consumer = service.consumer;
+                if (consumer === null || consumer === undefined) {
+                  return yield* knowledgeCoreServiceError("consume", "Knowledge request consumer not started");
+                }
+
+                const msg = yield* tryPromise("consume-receive", () => consumer.receive(2000));
+                if (msg === null) return true;
+
+                yield* tryPromise("consume-handle", () => service.handleMessage(msg));
+                yield* tryPromise("consume-acknowledge", () => consumer.acknowledge(msg));
+
+                return true;
+              }).pipe(
+                Effect.catch((error) => {
+                  if (!service.running) return Effect.succeed(false);
+                  return Effect.logError("[KnowledgeCoreService] Error in consume loop", {
+                    error: error.message,
+                  }).pipe(
+                    Effect.flatMap(() => Effect.sleep(Duration.millis(1000))),
+                    Effect.as(true),
+                  );
+                }),
+              );
+
+              if (!shouldContinue) break;
+            }
+          }),
+        );
 
         },
 
 
 
-      handleMessage: async function(this: KnowledgeCoreService, msg: Message<KnowledgeRequest>): Promise<void> {
-        const request = msg.value();
-        const props = msg.properties();
-        const requestId = props.id;
+      handleMessage: function(this: KnowledgeCoreService, msg: Message<KnowledgeRequest>): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const request = msg.value();
+            const props = msg.properties();
+            const requestId = props.id;
 
-        if (requestId === undefined || requestId.length === 0) {
-          console.warn("[KnowledgeCoreService] Received request without id, ignoring");
-          return;
-        }
+            if (requestId === undefined || requestId.length === 0) {
+              yield* Effect.logWarning("[KnowledgeCoreService] Received request without id, ignoring");
+              return;
+            }
 
-        try {
-          await this.handleOperation(request, requestId);
-        } catch (err) {
-          const message = err instanceof Error ? err.message : String(err);
-          await this.responseProducer!.send(
-            { error: { type: "knowledge-error", message } },
-            { id: requestId },
-          );
-        }
+            yield* tryPromise("operation", () => service.handleOperation(request, requestId)).pipe(
+              Effect.catch((error) =>
+                sendResponse(
+                  service,
+                  { error: { type: "knowledge-error", message: error.message } },
+                  requestId,
+                  "respond-error",
+                ),
+              ),
+            );
+          }),
+        );
 
         },
 
 
 
-      handleOperation: async function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
+      handleOperation: function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
         switch (request.operation) {
           case "list-kg-cores":
             return this.listKgCores(request, requestId);
@@ -152,7 +262,7 @@ export function makeKnowledgeCoreService(config: KnowledgeCoreServiceConfig): Kn
           case "load-de-core":
             return this.loadDeCore(request, requestId);
           default:
-            throw new Error(`Unknown knowledge operation: ${request.operation as string}`);
+            return failPromise("operation", `Unknown knowledge operation: ${request.operation as string}`);
         }
 
         },
@@ -185,231 +295,297 @@ export function makeKnowledgeCoreService(config: KnowledgeCoreServiceConfig): Kn
 
 
 
-      listKgCores: async function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
-        const user = request.user ?? "";
-        const prefix = user.length > 0 ? `${user}:` : "";
+      listKgCores: function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const user = request.user ?? "";
+            const prefix = user.length > 0 ? `${user}:` : "";
 
-        const ids: string[] = [];
-        for (const key of (this.cores as Map<string, KnowledgeCore>).keys()) {
-          if (prefix.length === 0 || key.startsWith(prefix)) {
-            // Extract the ID portion after the user prefix
-            const id = key.slice(prefix.length);
-            ids.push(id);
-          }
-        }
+            const ids: string[] = [];
+            for (const key of (service.cores as Map<string, KnowledgeCore>).keys()) {
+              if (prefix.length === 0 || key.startsWith(prefix)) {
+                // Extract the ID portion after the user prefix
+                const id = key.slice(prefix.length);
+                ids.push(id);
+              }
+            }
 
-        await this.responseProducer!.send({ ids }, { id: requestId });
-
-        },
-
-
-
-      getKgCore: async function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
-        const user = request.user ?? "";
-        const coreId = request.id ?? "";
-        const key = this.coreKey(user, coreId);
-
-        const core = this.cores.get(key);
-        if (core === undefined) {
-          throw new Error(`Knowledge core not found: ${key}`);
-        }
-
-        // Send triples and embeddings in batches
-        const BATCH_SIZE = 100;
-
-        // Send triples in batches
-        for (let i = 0; i < core.triples.length; i += BATCH_SIZE) {
-          const batch = core.triples.slice(i, i + BATCH_SIZE);
-          const isLast = i + BATCH_SIZE >= core.triples.length && core.graphEmbeddings.length === 0;
-
-          await this.responseProducer!.send(
-            { triples: batch, eos: isLast },
-            { id: requestId },
-          );
-        }
-
-        // Send graph embeddings in batches
-        for (let i = 0; i < core.graphEmbeddings.length; i += BATCH_SIZE) {
-          const batch = core.graphEmbeddings.slice(i, i + BATCH_SIZE);
-          const isLast = i + BATCH_SIZE >= core.graphEmbeddings.length;
-
-          await this.responseProducer!.send(
-            { graphEmbeddings: batch, "graph-embeddings": batch, eos: isLast } as KnowledgeResponse,
-            { id: requestId },
-          );
-        }
-
-        // If core was empty, send a final eos
-        if (core.triples.length === 0 && core.graphEmbeddings.length === 0) {
-          await this.responseProducer!.send({ eos: true }, { id: requestId });
-        }
-
-        },
-
-
-
-      deleteKgCore: async function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
-        const user = request.user ?? "";
-        const coreId = request.id ?? "";
-        const key = this.coreKey(user, coreId);
-
-        this.cores.delete(key);
-        await this.persist();
-
-        console.log(`[KnowledgeCoreService] Deleted core: ${key}`);
-        await this.responseProducer!.send({}, { id: requestId });
-
-        },
-
-
-
-      putKgCore: async function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
-        const user = request.user ?? "";
-        const coreId = request.id ?? "";
-        const key = this.coreKey(user, coreId);
-
-        let core = this.cores.get(key);
-        if (core === undefined) {
-          core = { triples: [], graphEmbeddings: [] };
-          this.cores.set(key, core);
-        }
-
-        // Append triples if provided
-        if (request.triples !== undefined && request.triples.length > 0) {
-          core.triples.push(...request.triples);
-        }
-
-        // Append graph embeddings if provided
-        const graphEmbeddings = this.graphEmbeddings(request);
-        if (graphEmbeddings.length > 0) {
-          core.graphEmbeddings.push(...graphEmbeddings);
-        }
-
-        await this.persist();
-
-        console.log(
-          `[KnowledgeCoreService] Updated core ${key}: triples=${core.triples.length}, embeddings=${core.graphEmbeddings.length}`,
+            yield* sendResponse(service, { ids }, requestId);
+          }),
         );
-        await this.responseProducer!.send({}, { id: requestId });
 
         },
 
 
 
-      loadKgCore: async function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
-        const user = request.user ?? "";
-        const coreId = request.id ?? "";
-        const key = this.coreKey(user, coreId);
+      getKgCore: function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const user = request.user ?? "";
+            const coreId = request.id ?? "";
+            const key = service.coreKey(user, coreId);
 
-        const core = this.cores.get(key);
-        if (core === undefined) {
-          throw new Error(`Knowledge core not found: ${key}`);
-        }
+            const core = service.cores.get(key);
+            if (core === undefined) {
+              return yield* knowledgeCoreServiceError("get-kg-core", `Knowledge core not found: ${key}`);
+            }
 
-        if (core.triples.length > 0) {
-          const producer = await this.pubsub.createProducer<unknown>({ topic: "tg.flow.triples" });
-          try {
-            await producer.send({
-              metadata: {
-                id: coreId,
-                root: coreId,
-                user,
-                collection: request.collection ?? "default",
-              },
-              triples: core.triples,
-            });
-          } finally {
-            await producer.close();
-          }
-        }
+            // Send triples and embeddings in batches
+            const BATCH_SIZE = 100;
 
-        console.log(
-          `[KnowledgeCoreService] Loaded core ${key} (triples=${core.triples.length}, embeddings=${core.graphEmbeddings.length})`,
+            // Send triples in batches
+            for (let i = 0; i < core.triples.length; i += BATCH_SIZE) {
+              const batch = core.triples.slice(i, i + BATCH_SIZE);
+              const isLast = i + BATCH_SIZE >= core.triples.length && core.graphEmbeddings.length === 0;
+
+              yield* sendResponse(
+                service,
+                { triples: batch, eos: isLast },
+                requestId,
+                "respond-kg-triples",
+              );
+            }
+
+            // Send graph embeddings in batches
+            for (let i = 0; i < core.graphEmbeddings.length; i += BATCH_SIZE) {
+              const batch = core.graphEmbeddings.slice(i, i + BATCH_SIZE);
+              const isLast = i + BATCH_SIZE >= core.graphEmbeddings.length;
+
+              yield* sendResponse(
+                service,
+                { graphEmbeddings: batch, "graph-embeddings": batch, eos: isLast } as KnowledgeResponse,
+                requestId,
+                "respond-kg-embeddings",
+              );
+            }
+
+            // If core was empty, send a final eos
+            if (core.triples.length === 0 && core.graphEmbeddings.length === 0) {
+              yield* sendResponse(service, { eos: true }, requestId, "respond-kg-empty");
+            }
+          }),
         );
-        await this.responseProducer!.send({}, { id: requestId });
 
         },
 
 
 
-      unloadKgCore: async function(this: KnowledgeCoreService, _request: KnowledgeRequest, requestId: string): Promise<void> {
-        await this.responseProducer!.send({}, { id: requestId });
+      deleteKgCore: function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const user = request.user ?? "";
+            const coreId = request.id ?? "";
+            const key = service.coreKey(user, coreId);
+
+            service.cores.delete(key);
+            yield* tryPromise("persist-delete-kg-core", () => service.persist());
+
+            yield* Effect.log(`[KnowledgeCoreService] Deleted core: ${key}`);
+            yield* sendResponse(service, {}, requestId);
+          }),
+        );
 
         },
 
 
 
-      listDeCores: async function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
-        const user = request.user ?? "";
-        const prefix = user.length > 0 ? `${user}:` : "";
-        const ids = [...this.deCores.keys()]
-          .filter((key) => prefix.length === 0 || key.startsWith(prefix))
-          .map((key) => key.slice(prefix.length));
-        await this.responseProducer!.send({ ids }, { id: requestId });
+      putKgCore: function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const user = request.user ?? "";
+            const coreId = request.id ?? "";
+            const key = service.coreKey(user, coreId);
+
+            let core = service.cores.get(key);
+            if (core === undefined) {
+              core = { triples: [], graphEmbeddings: [] };
+              service.cores.set(key, core);
+            }
+
+            // Append triples if provided
+            if (request.triples !== undefined && request.triples.length > 0) {
+              core.triples.push(...request.triples);
+            }
+
+            // Append graph embeddings if provided
+            const graphEmbeddings = service.graphEmbeddings(request);
+            if (graphEmbeddings.length > 0) {
+              core.graphEmbeddings.push(...graphEmbeddings);
+            }
+
+            yield* tryPromise("persist-put-kg-core", () => service.persist());
+
+            yield* Effect.log(
+              `[KnowledgeCoreService] Updated core ${key}: triples=${core.triples.length}, embeddings=${core.graphEmbeddings.length}`,
+            );
+            yield* sendResponse(service, {}, requestId);
+          }),
+        );
 
         },
 
 
 
-      getDeCore: async function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
-        const user = request.user ?? "";
-        const coreId = request.id ?? "";
-        const key = this.coreKey(user, coreId);
-        const core = this.deCores.get(key);
-        if (core === undefined) throw new Error(`Document embeddings core not found: ${key}`);
+      loadKgCore: function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const user = request.user ?? "";
+            const coreId = request.id ?? "";
+            const key = service.coreKey(user, coreId);
 
-        for (let i = 0; i < core.length; i++) {
-          const isLast = i === core.length - 1;
-          await this.responseProducer!.send(
-            {
-              documentEmbeddings: core[i],
-              "document-embeddings": core[i],
-              eos: isLast,
-            } as KnowledgeResponse,
-            { id: requestId },
-          );
-        }
-        if (core.length === 0) {
-          await this.responseProducer!.send({ eos: true }, { id: requestId });
-        }
+            const core = service.cores.get(key);
+            if (core === undefined) {
+              return yield* knowledgeCoreServiceError("load-kg-core", `Knowledge core not found: ${key}`);
+            }
+
+            if (core.triples.length > 0) {
+              yield* Effect.acquireUseRelease(
+                tryPromise("triples-producer", () =>
+                  service.pubsub.createProducer<unknown>({ topic: "tg.flow.triples" }),
+                ),
+                (producer) =>
+                  tryPromise("send-triples", () =>
+                    producer.send({
+                      metadata: {
+                        id: coreId,
+                        root: coreId,
+                        user,
+                        collection: request.collection ?? "default",
+                      },
+                      triples: core.triples,
+                    }),
+                  ),
+                (producer) => closeResource(producer, "close-triples-producer"),
+              );
+            }
+
+            yield* Effect.log(
+              `[KnowledgeCoreService] Loaded core ${key} (triples=${core.triples.length}, embeddings=${core.graphEmbeddings.length})`,
+            );
+            yield* sendResponse(service, {}, requestId);
+          }),
+        );
 
         },
 
 
 
-      deleteDeCore: async function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
-        const user = request.user ?? "";
-        const coreId = request.id ?? "";
-        this.deCores.delete(this.coreKey(user, coreId));
-        await this.persist();
-        await this.responseProducer!.send({}, { id: requestId });
+      unloadKgCore: function(this: KnowledgeCoreService, _request: KnowledgeRequest, requestId: string): Promise<void> {
+        return Effect.runPromise(sendResponse(this, {}, requestId));
 
         },
 
 
 
-      putDeCore: async function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
-        const user = request.user ?? "";
-        const coreId = request.id ?? "";
-        const key = this.coreKey(user, coreId);
-        const item = this.documentEmbeddings(request);
-        if (item === undefined) throw new Error("put-de-core requires document-embeddings");
-        const core = this.deCores.get(key) ?? [];
-        core.push(item);
-        this.deCores.set(key, core);
-        await this.persist();
-        await this.responseProducer!.send({}, { id: requestId });
+      listDeCores: function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const user = request.user ?? "";
+            const prefix = user.length > 0 ? `${user}:` : "";
+            const ids = [...service.deCores.keys()]
+              .filter((key) => prefix.length === 0 || key.startsWith(prefix))
+              .map((key) => key.slice(prefix.length));
+            yield* sendResponse(service, { ids }, requestId);
+          }),
+        );
 
         },
 
 
 
-      loadDeCore: async function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
-        const user = request.user ?? "";
-        const coreId = request.id ?? "";
-        const key = this.coreKey(user, coreId);
-        if (!(this.deCores as Map<string, DocumentEmbeddingsCore[]>).has(key)) throw new Error(`Document embeddings core not found: ${key}`);
-        await this.responseProducer!.send({}, { id: requestId });
+      getDeCore: function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const user = request.user ?? "";
+            const coreId = request.id ?? "";
+            const key = service.coreKey(user, coreId);
+            const core = service.deCores.get(key);
+            if (core === undefined) {
+              return yield* knowledgeCoreServiceError("get-de-core", `Document embeddings core not found: ${key}`);
+            }
+
+            for (let i = 0; i < core.length; i++) {
+              const isLast = i === core.length - 1;
+              yield* sendResponse(
+                service,
+                {
+                  documentEmbeddings: core[i],
+                  "document-embeddings": core[i],
+                  eos: isLast,
+                } as KnowledgeResponse,
+                requestId,
+                "respond-de-core",
+              );
+            }
+            if (core.length === 0) {
+              yield* sendResponse(service, { eos: true }, requestId, "respond-de-empty");
+            }
+          }),
+        );
+
+        },
+
+
+
+      deleteDeCore: function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const user = request.user ?? "";
+            const coreId = request.id ?? "";
+            service.deCores.delete(service.coreKey(user, coreId));
+            yield* tryPromise("persist-delete-de-core", () => service.persist());
+            yield* sendResponse(service, {}, requestId);
+          }),
+        );
+
+        },
+
+
+
+      putDeCore: function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const user = request.user ?? "";
+            const coreId = request.id ?? "";
+            const key = service.coreKey(user, coreId);
+            const item = service.documentEmbeddings(request);
+            if (item === undefined) {
+              return yield* knowledgeCoreServiceError("put-de-core", "put-de-core requires document-embeddings");
+            }
+            const core = service.deCores.get(key) ?? [];
+            core.push(item);
+            service.deCores.set(key, core);
+            yield* tryPromise("persist-put-de-core", () => service.persist());
+            yield* sendResponse(service, {}, requestId);
+          }),
+        );
+
+        },
+
+
+
+      loadDeCore: function(this: KnowledgeCoreService, request: KnowledgeRequest, requestId: string): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const user = request.user ?? "";
+            const coreId = request.id ?? "";
+            const key = service.coreKey(user, coreId);
+            if (!(service.deCores as Map<string, DocumentEmbeddingsCore[]>).has(key)) {
+              return yield* knowledgeCoreServiceError("load-de-core", `Document embeddings core not found: ${key}`);
+            }
+            yield* sendResponse(service, {}, requestId);
+          }),
+        );
 
         },
 
@@ -417,69 +593,88 @@ export function makeKnowledgeCoreService(config: KnowledgeCoreServiceConfig): Kn
 
       // ---------- Persistence ----------
 
-      persist: async function(this: KnowledgeCoreService): Promise<void> {
-        try {
-          // Serialize Map to object
-          const data: {
-            kg: Record<string, KnowledgeCore>;
-            de: Record<string, DocumentEmbeddingsCore[]>;
-          } = { kg: {}, de: {} };
-          for (const [key, core] of this.cores) {
-            data.kg[key] = core;
-          }
-          for (const [key, core] of this.deCores) {
-            data.de[key] = core;
-          }
-
-          const json = JSON.stringify(data, null, 2);
-          await writeTextFile(this.persistPath, json);
-        } catch (err) {
-          console.error("[KnowledgeCoreService] Failed to persist state:", err);
-        }
-
-        },
-
-
-
-      loadFromDisk: async function(this: KnowledgeCoreService): Promise<void> {
-        try {
-          const raw = await readTextFile(this.persistPath);
-          const parsed = JSON.parse(raw) as Record<string, KnowledgeCore> | {
-            kg?: Record<string, KnowledgeCore>;
-            de?: Record<string, DocumentEmbeddingsCore[]>;
-          };
-
-          this.cores.clear();
-          this.deCores.clear();
-          const kg = "kg" in parsed && parsed.kg !== undefined ? parsed.kg : parsed as Record<string, KnowledgeCore>;
-          for (const [key, core] of Object.entries(kg)) {
-            this.cores.set(key, core);
-          }
-          if ("de" in parsed && parsed.de !== undefined) {
-            for (const [key, core] of Object.entries(parsed.de)) {
-              this.deCores.set(key, core);
+      persist: function(this: KnowledgeCoreService): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            // Serialize Map to object
+            const data: {
+              kg: Record<string, KnowledgeCore>;
+              de: Record<string, DocumentEmbeddingsCore[]>;
+            } = { kg: {}, de: {} };
+            for (const [key, core] of service.cores) {
+              data.kg[key] = core;
+            }
+            for (const [key, core] of service.deCores) {
+              data.de[key] = core;
             }
-          }
 
-          console.log(`[KnowledgeCoreService] Loaded persisted state (kg=${this.cores.size}, de=${this.deCores.size})`);
-        } catch {
-          console.log("[KnowledgeCoreService] No persisted state found, starting fresh");
-        }
+            const json = yield* trySync("persist-serialize", () => JSON.stringify(data, null, 2));
+            yield* tryPromise("persist-write", () => writeTextFile(service.persistPath, json));
+          }).pipe(
+            Effect.catch((error) =>
+              Effect.logError("[KnowledgeCoreService] Failed to persist state", {
+                error: error.message,
+              }),
+            ),
+          ),
+        );
 
         },
 
 
 
-      stop: async function(this: KnowledgeCoreService): Promise<void> {
-        if (this.consumer !== null) {
-          await this.consumer.close();
-          this.consumer = null;
-        }
-        if (this.responseProducer !== null) {
-          await this.responseProducer.close();
-          this.responseProducer = null;
-        }
-        await baseStop();
+      loadFromDisk: function(this: KnowledgeCoreService): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            const raw = yield* tryPromise("load-read", () => readTextFile(service.persistPath));
+            const parsed = yield* trySync("load-parse", () =>
+              JSON.parse(raw) as Record<string, KnowledgeCore> | {
+                kg?: Record<string, KnowledgeCore>;
+                de?: Record<string, DocumentEmbeddingsCore[]>;
+              },
+            );
+
+            service.cores.clear();
+            service.deCores.clear();
+            const kg = "kg" in parsed && parsed.kg !== undefined ? parsed.kg : parsed as Record<string, KnowledgeCore>;
+            for (const [key, core] of Object.entries(kg)) {
+              service.cores.set(key, core);
+            }
+            if ("de" in parsed && parsed.de !== undefined) {
+              for (const [key, core] of Object.entries(parsed.de)) {
+                service.deCores.set(key, core);
+              }
+            }
+
+            yield* Effect.log(`[KnowledgeCoreService] Loaded persisted state (kg=${service.cores.size}, de=${service.deCores.size})`);
+          }).pipe(
+            Effect.catch(() =>
+              Effect.log("[KnowledgeCoreService] No persisted state found, starting fresh"),
+            ),
+          ),
+        );
+
+        },
+
+
+
+      stop: function(this: KnowledgeCoreService): Promise<void> {
+        const service = this;
+        return Effect.runPromise(
+          Effect.gen(function* () {
+            if (service.consumer !== null) {
+              yield* tryPromise("close-consumer", () => service.consumer.close());
+              service.consumer = null;
+            }
+            if (service.responseProducer !== null) {
+              yield* tryPromise("close-response-producer", () => service.responseProducer.close());
+              service.responseProducer = null;
+            }
+            yield* tryPromise("base-stop", () => baseStop());
+          }),
+        );
 
         }
   });
@@ -488,15 +683,11 @@ export function makeKnowledgeCoreService(config: KnowledgeCoreServiceConfig): Kn
 
 export const KnowledgeCoreService = makeKnowledgeCoreService;
 
-function sleep(ms: number): Promise<void> {
-  return new Promise((resolve) => setTimeout(resolve, ms));
-}
-
 export const program = makeProcessorProgram({
   id: "knowledge-svc",
   make: (config) => makeKnowledgeCoreService(config),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/decoding/pdf-decoder.ts

@@ -37,7 +37,7 @@ import {
   errorMessage,
 } from "@trustgraph/base";
 import { makeFlowProcessorProgram } from "@trustgraph/base";
-import { Effect } from "effect";
+import { Clock, Effect } from "effect";
 import * as S from "effect/Schema";
 
 export class PdfDecoderError extends S.TaggedErrorClass<PdfDecoderError>()(
@@ -63,7 +63,7 @@ const pdfDecoderError = (
   documentId: string,
   cause: unknown,
 ) =>
-  new PdfDecoderError({
+  PdfDecoderError.make({
     operation,
     documentId,
     message: errorMessage(cause),
@@ -76,18 +76,24 @@ const loadPdf = (documentId: string, pdfBuffer: Buffer) =>
     catch: (cause) => pdfDecoderError("load-pdf", documentId, cause),
   });
 
-const loadPageText = (documentId: string, pageNumber: number, pdf: PdfDocument) =>
-  Effect.tryPromise({
-    try: async () => {
-      const page = await pdf.getPage(pageNumber);
-      const textContent = await page.getTextContent();
-      return textContent.items
-        .filter((item): item is TextItem => "str" in item)
-        .map((item) => item.str)
-        .join(" ");
-    },
-    catch: (cause) => pdfDecoderError("load-page-text", documentId, cause),
-  });
+const loadPageText = Effect.fn("loadPageText")(function*(
+  documentId: string,
+  pageNumber: number,
+  pdf: PdfDocument,
+) {
+    const page = yield* Effect.tryPromise({
+      try: () => pdf.getPage(pageNumber),
+      catch: (cause) => pdfDecoderError("load-page", documentId, cause),
+    });
+    const textContent = yield* Effect.tryPromise({
+      try: () => page.getTextContent(),
+      catch: (cause) => pdfDecoderError("load-page-text", documentId, cause),
+    });
+    return textContent.items
+      .filter((item): item is TextItem => "str" in item)
+      .map((item) => item.str)
+      .join(" ");
+});
 
 const onPdfDecodeMessage = Effect.fn("PdfDecoderService.onMessage")(function* (
   msg: Document,
@@ -156,6 +162,7 @@ const onPdfDecodeMessage = Effect.fn("PdfDecoderService.onMessage")(function* (
       continue;
     }
 
+    const timestamp = yield* Clock.currentTimeMillis;
     const childResp = yield* librarian.request({
       operation: "add-child-document",
       documentMetadata: {
@@ -165,7 +172,7 @@ const onPdfDecodeMessage = Effect.fn("PdfDecoderService.onMessage")(function* (
         title: `Page ${i}`,
         parentId: documentId,
         documentType: "page",
-        time: Date.now(),
+        time: timestamp,
         comments: "",
         tags: [],
       },
@@ -226,7 +233,7 @@ export function makePdfDecoderService(config: ProcessorConfig): PdfDecoderServic
   const service = makeFlowProcessor(config, {
     specifications: makePdfDecoderSpecs(),
   });
-  console.log("[PdfDecoder] Service initialized");
+  Effect.runSync(Effect.log("[PdfDecoder] Service initialized"));
   return service;
 }
 
@@ -245,6 +252,6 @@ export const program = makeFlowProcessorProgram({
   specs: () => makePdfDecoderSpecs(),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/embeddings/ollama.ts

@@ -4,11 +4,13 @@
  * Python reference: trustgraph-flow/trustgraph/embeddings/ollama/processor.py
  */
 
-import { Effect, Layer } from "effect";
+import { Config, Effect, Layer } from "effect";
+import * as O from "effect/Option";
 import * as S from "effect/Schema";
 import {
   Embeddings,
-  embeddingsError,
+  EmbeddingsError,
+  errorMessage,
   makeEmbeddingsService,
   makeEmbeddingsSpecs,
   type EmbeddingsServiceShape,
@@ -22,18 +24,58 @@ export interface OllamaEmbeddingsConfig extends ProcessorConfig {
   fetch?: typeof fetch;
 }
 
-interface OllamaEmbedResponse {
-  embeddings: number[][];
+const EmbeddingVector = S.Array(S.Number);
+
+const OllamaEmbedResponse = S.Struct({
+  embeddings: S.Array(EmbeddingVector),
+});
+
+type OllamaEmbedResponse = typeof OllamaEmbedResponse.Type;
+
+interface ResolvedOllamaEmbeddingsConfig {
+  readonly defaultModel: string;
+  readonly ollamaHost: string;
+  readonly fetchImpl: typeof fetch;
 }
 
+const ollamaEmbeddingsError = (operation: string, cause: unknown): EmbeddingsError =>
+  EmbeddingsError.make({
+    operation,
+    message: errorMessage(cause),
+    provider: "ollama",
+  });
+
+const ollamaEmbeddingsMessageError = (operation: string, message: string): EmbeddingsError =>
+  EmbeddingsError.make({
+    operation,
+    message,
+    provider: "ollama",
+  });
+
+const optionalStringConfig = Effect.fn("OllamaEmbeddings.optionalStringConfig")(function*(name: string) {
+  return O.getOrUndefined(yield* Config.string(name).pipe(Config.option));
+});
+
+const loadOllamaEmbeddingsConfig = Effect.fn("OllamaEmbeddings.loadConfig")(function*(
+  config: OllamaEmbeddingsConfig,
+) {
+  return {
+    defaultModel: config.model ?? "mxbai-embed-large",
+    ollamaHost:
+      config.ollamaHost ??
+      (yield* optionalStringConfig("OLLAMA_URL")) ??
+      (yield* optionalStringConfig("OLLAMA_HOST")) ??
+      "http://localhost:11434",
+    fetchImpl: config.fetch ?? globalThis.fetch,
+  } satisfies ResolvedOllamaEmbeddingsConfig;
+});
+
 export function makeOllamaEmbeddings(config: OllamaEmbeddingsConfig): EmbeddingsServiceShape {
-  const defaultModel = config.model ?? "mxbai-embed-large";
-  const ollamaHost =
-    config.ollamaHost ??
-    process.env.OLLAMA_URL ??
-    process.env.OLLAMA_HOST ??
-    "http://localhost:11434";
-  const fetchImpl = config.fetch ?? globalThis.fetch;
+  const {
+    defaultModel,
+    ollamaHost,
+    fetchImpl,
+  } = Effect.runSync(loadOllamaEmbeddingsConfig(config)) satisfies ResolvedOllamaEmbeddingsConfig;
 
   return {
     embed: Effect.fn("OllamaEmbeddings.embed")((texts: ReadonlyArray<string>, model?: string) => {
@@ -49,29 +91,38 @@ export function makeOllamaEmbeddings(config: OllamaEmbeddingsConfig): Embeddings
           model: useModel,
           input: Array.from(texts),
         }).pipe(
-          Effect.mapError((error) => embeddingsError("ollama.encode-request", error, "ollama")),
+          Effect.mapError((error) => ollamaEmbeddingsError("ollama.encode-request", error))
         );
 
-        return yield* Effect.tryPromise({
-          try: async () => {
-            const response = await fetchImpl(url, {
+        const response = yield* Effect.tryPromise({
+          try: () =>
+            fetchImpl(url, {
               method: "POST",
               headers: { "Content-Type": "application/json" },
               body,
-            });
-
-            if (!response.ok) {
-              const errorBody = await response.text();
-              throw new Error(
-                `Ollama embeddings request failed (${response.status}): ${errorBody}`,
-              );
-            }
-
-            const data = (await response.json()) as OllamaEmbedResponse;
-            return data.embeddings;
-          },
-          catch: (error) => embeddingsError("ollama.embed", error, "ollama"),
+            }),
+          catch: (error) => ollamaEmbeddingsError("ollama.fetch", error),
         });
+
+        if (!response.ok) {
+          const errorBody = yield* Effect.tryPromise({
+            try: () => response.text(),
+            catch: (error) => ollamaEmbeddingsError("ollama.error-body", error),
+          });
+          return yield* ollamaEmbeddingsMessageError(
+            "ollama.embed",
+            `Ollama embeddings request failed (${response.status}): ${errorBody}`,
+          );
+        }
+
+        const data = yield* Effect.tryPromise({
+          try: () => response.json() as Promise<unknown>,
+          catch: (error) => ollamaEmbeddingsError("ollama.response-json", error),
+        });
+        const decoded = yield* S.decodeUnknownEffect(OllamaEmbedResponse)(data).pipe(
+          Effect.mapError((error) => ollamaEmbeddingsError("ollama.decode-response", error))
+        );
+        return Array.from(decoded.embeddings, (vector) => Array.from(vector));
       });
     }),
   };
@@ -88,9 +139,10 @@ export type OllamaEmbeddingsProcessor = ReturnType<typeof makeOllamaEmbeddingsPr
 
 export function makeOllamaEmbeddingsProcessor(config: OllamaEmbeddingsConfig) {
   const embeddings = makeOllamaEmbeddings(config);
-  console.log(
-    `[OllamaEmbeddings] Initialized (host=${config.ollamaHost ?? process.env.OLLAMA_URL ?? process.env.OLLAMA_HOST ?? "http://localhost:11434"}, model=${config.model ?? "mxbai-embed-large"})`,
-  );
+  const resolved = Effect.runSync(loadOllamaEmbeddingsConfig(config)) satisfies ResolvedOllamaEmbeddingsConfig;
+  Effect.runSync(Effect.log(
+    `[OllamaEmbeddings] Initialized (host=${resolved.ollamaHost}, model=${resolved.defaultModel})`,
+  ));
   return makeEmbeddingsService(config, embeddings);
 }
 
@@ -102,6 +154,6 @@ export const program = makeFlowProcessorProgram<OllamaEmbeddingsConfig, never, E
   layer: (config) => OllamaEmbeddingsLive(config),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/extract/knowledge-extract.ts

@@ -289,7 +289,7 @@ export function makeKnowledgeExtractService(config: ProcessorConfig): KnowledgeE
   const service = makeFlowProcessor(config, {
     specifications: makeKnowledgeExtractSpecs(),
   });
-  console.log("[KnowledgeExtract] Service initialized");
+  Effect.runSync(Effect.log("[KnowledgeExtract] Service initialized"));
   return service;
 }
 
@@ -324,7 +324,9 @@ export function parseJsonResponse<T>(raw: string): T | null {
     if (O.isSome(decoded)) return decoded.value as T;
   }
 
-  console.warn("[KnowledgeExtract] Failed to parse JSON from LLM response:", raw.slice(0, 300));
+  Effect.runSync(Effect.logWarning("[KnowledgeExtract] Failed to parse JSON from LLM response", {
+    response: raw.slice(0, 300),
+  }));
   return null;
 }
 
@@ -333,7 +335,9 @@ function parseRelationshipsResponse(raw: string): ReadonlyArray<ExtractedRelatio
     const decoded = decodeExtractedRelationships(candidate);
     if (O.isSome(decoded)) return decoded.value;
   }
-  console.warn("[KnowledgeExtract] Failed to parse relationships from LLM response:", raw.slice(0, 300));
+  Effect.runSync(Effect.logWarning("[KnowledgeExtract] Failed to parse relationships from LLM response", {
+    response: raw.slice(0, 300),
+  }));
   return null;
 }
 
@@ -342,7 +346,9 @@ function parseDefinitionsResponse(raw: string): ReadonlyArray<ExtractedDefinitio
     const decoded = decodeExtractedDefinitions(candidate);
     if (O.isSome(decoded)) return decoded.value;
   }
-  console.warn("[KnowledgeExtract] Failed to parse definitions from LLM response:", raw.slice(0, 300));
+  Effect.runSync(Effect.logWarning("[KnowledgeExtract] Failed to parse definitions from LLM response", {
+    response: raw.slice(0, 300),
+  }));
   return null;
 }
 
@@ -380,6 +386,6 @@ export const program = makeFlowProcessorProgram({
   specs: () => makeKnowledgeExtractSpecs(),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/gateway/dispatch/manager.ts

@@ -8,7 +8,7 @@
  * Python reference: trustgraph-flow/trustgraph/gateway/dispatch/manager.py
  */
 
-import { Effect, Exit, Scope, SynchronizedRef } from "effect";
+import { Clock, Effect, Exit, Random, Scope, SynchronizedRef } from "effect";
 import {
   loadMessagingRuntimeConfig,
   makeNatsBackend,
@@ -146,13 +146,13 @@ export function makeDispatcherManager(config: GatewayConfig): DispatcherManager
   const pubsub: PubSubBackend = config.pubsub ?? makeNatsBackend(config.natsUrl ?? "nats://localhost:4222");
   let runtime: DispatcherRuntime | null = null;
 
-  const start = async (): Promise<void> => {
-    if (runtime !== null) return;
+  const start = (): Promise<void> => {
+    if (runtime !== null) return Promise.resolve();
 
-    runtime = await Effect.runPromise(
+    return Effect.runPromise(
       Effect.gen(function* () {
         const scope = yield* Scope.make();
-        return yield* Effect.gen(function* () {
+        const nextRuntime = yield* Effect.gen(function* () {
           const messagingConfig = yield* loadMessagingRuntimeConfig();
           const requestors = yield* SynchronizedRef.make<RequestorMap>(new Map());
           return {
@@ -163,62 +163,79 @@ export function makeDispatcherManager(config: GatewayConfig): DispatcherManager
         }).pipe(
           Effect.onError((cause) => Scope.close(scope, Exit.failCause(cause))),
         );
+        runtime = nextRuntime;
       }),
     );
   };
 
-  const stop = async (): Promise<void> => {
-    const current = runtime;
-    runtime = null;
+  const stop = (): Promise<void> =>
+    Effect.runPromise(
+      Effect.gen(function* () {
+        const current = runtime;
+        runtime = null;
 
-    if (current !== null) {
-      await Effect.runPromise(Scope.close(current.scope, Exit.void));
-    }
+        if (current !== null) {
+          yield* Scope.close(current.scope, Exit.void);
+        }
 
-    await pubsub.close();
-  };
+        yield* Effect.tryPromise({
+          try: () => pubsub.close(),
+          catch: (cause) => messagingLifecycleError("gateway-dispatcher", "close-pubsub", cause),
+        });
+      }),
+    );
 
   // ---------- Internal helpers ----------
 
-  const ensureRuntime = async (): Promise<DispatcherRuntime> => {
-    if (runtime === null) {
-      await start();
-    }
-    if (runtime === null) {
-      throw messagingLifecycleError("gateway-dispatcher", "start", "Dispatcher manager failed to start");
-    }
-    return runtime;
-  };
+  const ensureRuntime = (): Promise<DispatcherRuntime> =>
+    Effect.runPromise(
+      Effect.gen(function* () {
+        if (runtime === null) {
+          yield* Effect.tryPromise({
+            try: () => start(),
+            catch: (cause) => messagingLifecycleError("gateway-dispatcher", "start", cause),
+          });
+        }
+        if (runtime === null) {
+          return yield* messagingLifecycleError("gateway-dispatcher", "start", "Dispatcher manager failed to start");
+        }
+        return runtime;
+      }),
+    );
 
-  const getRequestor = async (
+  const getRequestor = (
     requestTopic: string,
     responseTopic: string,
     key: string,
-  ): Promise<EffectRequestResponse<unknown, unknown>> => {
-    const current = await ensureRuntime();
+  ): Promise<EffectRequestResponse<unknown, unknown>> =>
+    Effect.runPromise(
+      Effect.gen(function* () {
+        const current = yield* Effect.tryPromise({
+          try: () => ensureRuntime(),
+          catch: (cause) => messagingLifecycleError("gateway-dispatcher", "ensure-runtime", cause),
+        });
 
-    return await Effect.runPromise(
-      SynchronizedRef.modifyEffect(current.requestors, (requestors) => {
-        const cached = requestors.get(key);
-        if (cached !== undefined) {
-          return Effect.succeed([cached, requestors] as const);
-        }
+        return yield* SynchronizedRef.modifyEffect(current.requestors, (requestors) => {
+          const cached = requestors.get(key);
+          if (cached !== undefined) {
+            return Effect.succeed([cached, requestors] as const);
+          }
 
-        return current.factory.make<unknown, unknown>({
-          requestTopic,
-          responseTopic,
-          subscription: `gateway-${key}`,
-        }).pipe(
-          Scope.provide(current.scope),
-          Effect.map((requestor) => {
-            const next = new Map(requestors);
-            next.set(key, requestor);
-            return [requestor, next] as const;
-          }),
-        );
+          return current.factory.make<unknown, unknown>({
+            requestTopic,
+            responseTopic,
+            subscription: `gateway-${key}`,
+          }).pipe(
+            Scope.provide(current.scope),
+            Effect.map((requestor) => {
+              const next = new Map(requestors);
+              next.set(key, requestor);
+              return [requestor, next] as const;
+            }),
+          );
+        });
       }),
     );
-  };
 
   const resolveGlobalTopics = (
     kind: string,
@@ -256,93 +273,107 @@ export function makeDispatcherManager(config: GatewayConfig): DispatcherManager
 
   // ---------- Global service dispatch ----------
 
-  const dispatchGlobalService = async (
+  const dispatchGlobalService = (
     kind: string,
     request: Record<string, unknown>,
-  ): Promise<unknown> => {
-    const { requestTopic, responseTopic } = resolveGlobalTopics(kind);
-    const rr = await getRequestor(requestTopic, responseTopic, `global:${kind}`);
+  ): Promise<unknown> =>
+    Effect.runPromise(
+      Effect.gen(function* () {
+        const { requestTopic, responseTopic } = resolveGlobalTopics(kind);
+        const rr = yield* Effect.tryPromise({
+          try: () => getRequestor(requestTopic, responseTopic, `global:${kind}`),
+          catch: (cause) => messagingLifecycleError("gateway-dispatcher", "get-requestor", cause),
+        });
 
-    const translated = translateRequest(kind, request);
-    const response = await Effect.runPromise(rr.request(translated));
-    return translateResponse(kind, response);
-  };
+        const translated = translateRequest(kind, request);
+        const response = yield* rr.request(translated);
+        return translateResponse(kind, response);
+      }),
+    );
 
-  const dispatchGlobalServiceStreaming = async (
+  const dispatchGlobalServiceStreaming = (
     kind: string,
     request: Record<string, unknown>,
     responder: Responder,
-  ): Promise<void> => {
-    const { requestTopic, responseTopic } = resolveGlobalTopics(kind);
-    const rr = await getRequestor(requestTopic, responseTopic, `global:${kind}`);
-    const translated = translateRequest(kind, request);
+  ): Promise<void> =>
+    Effect.runPromise(
+      Effect.gen(function* () {
+        const { requestTopic, responseTopic } = resolveGlobalTopics(kind);
+        const rr = yield* Effect.tryPromise({
+          try: () => getRequestor(requestTopic, responseTopic, `global:${kind}`),
+          catch: (cause) => messagingLifecycleError("gateway-dispatcher", "get-requestor", cause),
+        });
+        const translated = translateRequest(kind, request);
 
-    await Effect.runPromise(
-      rr.request(translated, {
-        recipient: (response) => {
-          const translatedRes = translateResponse(kind, response);
-          const complete = dispatcherManagerIsCompleteResponse(translatedRes);
-          return Effect.tryPromise({
-            try: async () => {
-              await responder(translatedRes, complete);
-              return complete;
-            },
-            catch: (error) => messagingDeliveryError(responseTopic, "stream-responder", error),
-          });
-        },
+        yield* rr.request(translated, {
+          recipient: (response) => {
+            const translatedRes = translateResponse(kind, response);
+            const complete = dispatcherManagerIsCompleteResponse(translatedRes);
+            return Effect.tryPromise({
+              try: () => responder(translatedRes, complete).then(() => complete),
+              catch: (error) => messagingDeliveryError(responseTopic, "stream-responder", error),
+            });
+          },
+        });
       }),
     );
-  };
 
   // ---------- Flow-scoped service dispatch ----------
 
-  const dispatchFlowService = async (
+  const dispatchFlowService = (
     flow: string,
     kind: string,
     request: Record<string, unknown>,
-  ): Promise<unknown> => {
-    const { requestTopic, responseTopic } = resolveFlowTopics(kind);
-    const rr = await getRequestor(
-      requestTopic,
-      responseTopic,
-      `flow:${flow}:${kind}`,
+  ): Promise<unknown> =>
+    Effect.runPromise(
+      Effect.gen(function* () {
+        const { requestTopic, responseTopic } = resolveFlowTopics(kind);
+        const rr = yield* Effect.tryPromise({
+          try: () => getRequestor(
+            requestTopic,
+            responseTopic,
+            `flow:${flow}:${kind}`,
+          ),
+          catch: (cause) => messagingLifecycleError("gateway-dispatcher", "get-requestor", cause),
+        });
+
+        const translated = translateRequest(kind, request);
+        const response = yield* rr.request(translated);
+        return translateResponse(kind, response);
+      }),
     );
 
-    const translated = translateRequest(kind, request);
-    const response = await Effect.runPromise(rr.request(translated));
-    return translateResponse(kind, response);
-  };
-
-  const dispatchFlowServiceStreaming = async (
+  const dispatchFlowServiceStreaming = (
     flow: string,
     kind: string,
     request: Record<string, unknown>,
     responder: Responder,
-  ): Promise<void> => {
-    const { requestTopic, responseTopic } = resolveFlowTopics(kind);
-    const rr = await getRequestor(
-      requestTopic,
-      responseTopic,
-      `flow:${flow}:${kind}`,
-    );
-    const translated = translateRequest(kind, request);
+  ): Promise<void> =>
+    Effect.runPromise(
+      Effect.gen(function* () {
+        const { requestTopic, responseTopic } = resolveFlowTopics(kind);
+        const rr = yield* Effect.tryPromise({
+          try: () => getRequestor(
+            requestTopic,
+            responseTopic,
+            `flow:${flow}:${kind}`,
+          ),
+          catch: (cause) => messagingLifecycleError("gateway-dispatcher", "get-requestor", cause),
+        });
+        const translated = translateRequest(kind, request);
 
-    await Effect.runPromise(
-      rr.request(translated, {
-        recipient: (response) => {
-          const translatedRes = translateResponse(kind, response);
-          const complete = dispatcherManagerIsCompleteResponse(translatedRes);
-          return Effect.tryPromise({
-            try: async () => {
-              await responder(translatedRes, complete);
-              return complete;
-            },
-            catch: (error) => messagingDeliveryError(responseTopic, "stream-responder", error),
-          });
-        },
+        yield* rr.request(translated, {
+          recipient: (response) => {
+            const translatedRes = translateResponse(kind, response);
+            const complete = dispatcherManagerIsCompleteResponse(translatedRes);
+            return Effect.tryPromise({
+              try: () => responder(translatedRes, complete).then(() => complete),
+              catch: (error) => messagingDeliveryError(responseTopic, "stream-responder", error),
+            });
+          },
+        });
       }),
     );
-  };
 
   // ---------- Fire-and-forget publish ----------
 
@@ -350,12 +381,27 @@ export function makeDispatcherManager(config: GatewayConfig): DispatcherManager
    * Publish a single message to an arbitrary topic (no request/response).
    * Used for injecting documents into the processing pipeline.
    */
-  const publishToTopic = async (topic: string, message: unknown, id?: string): Promise<void> => {
-    const producer = await pubsub.createProducer<unknown>({ topic });
-    const messageId = id ?? `pub-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
-    await producer.send(message, { id: messageId });
-    await producer.close();
-  };
+  const publishToTopic = (topic: string, message: unknown, id?: string): Promise<void> =>
+    Effect.runPromise(
+      Effect.gen(function* () {
+        const producer = yield* Effect.tryPromise({
+          try: () => pubsub.createProducer<unknown>({ topic }),
+          catch: (cause) => messagingDeliveryError(topic, "create-producer", cause),
+        });
+        const timestamp = yield* Clock.currentTimeMillis;
+        const suffix = yield* Random.nextIntBetween(0, 36 ** 6, { halfOpen: true });
+        const messageId = id ?? `pub-${timestamp}-${suffix.toString(36).padStart(6, "0")}`;
+
+        yield* Effect.tryPromise({
+          try: () => producer.send(message, { id: messageId }),
+          catch: (cause) => messagingDeliveryError(topic, "send", cause),
+        });
+        yield* Effect.tryPromise({
+          try: () => producer.close(),
+          catch: (cause) => messagingDeliveryError(topic, "close-producer", cause),
+        });
+      }),
+    );
 
   return {
     start,

ts/packages/flow/src/gateway/dispatch/serialize.ts

@@ -19,6 +19,7 @@
  */
 
 import type { Term, Triple } from "@trustgraph/base";
+import * as S from "effect/Schema";
 
 // ---------- Client wire format type definitions ----------
 
@@ -46,6 +47,14 @@ interface ClientTripleTerm {
 
 type ClientTerm = ClientIriTerm | ClientBlankTerm | ClientLiteralTerm | ClientTripleTerm;
 
+export class DispatchSerializationError extends S.TaggedErrorClass<DispatchSerializationError>()(
+  "DispatchSerializationError",
+  {
+    message: S.String,
+    operation: S.String,
+  },
+) {}
+
 interface ClientTriple {
   s: ClientTerm;
   p: ClientTerm;
@@ -70,7 +79,10 @@ export function clientTermToInternal(wire: ClientTerm): Term {
       };
     case "t": {
       if (wire.tr === undefined) {
-        throw new Error("Client triple term is missing tr");
+        throw DispatchSerializationError.make({
+          operation: "client-term-to-internal",
+          message: "Client triple term is missing tr",
+        });
       }
       return {
         type: "TRIPLE",

ts/packages/flow/src/gateway/rpc-protocol.ts

@@ -34,37 +34,44 @@ export const makeSocketRpcProtocol = Effect.gen(function* () {
     });
 
     const writeRaw = yield* socket.writer;
-    const write = (response: RpcMessage.FromServerEncoded) => {
-      try {
-        const encoded = parser.encode(response);
-        if (encoded === undefined) return Effect.void;
-        return Effect.orDie(writeRaw(encoded));
-      } catch (cause) {
-        return Effect.orDie(
-          writeRaw(parser.encode(RpcMessage.ResponseDefectEncoded(cause))!),
-        );
-      }
-    };
+    const encodeDefect = (cause: unknown) =>
+      Effect.sync(() => parser.encode(RpcMessage.ResponseDefectEncoded(cause))!);
+    const write = (response: RpcMessage.FromServerEncoded) =>
+      Effect.sync(() => parser.encode(response)).pipe(
+        Effect.flatMap((encoded) =>
+          encoded === undefined ? Effect.void : Effect.orDie(writeRaw(encoded)),
+        ),
+        Effect.catchDefect((cause: unknown) =>
+          encodeDefect(cause).pipe(
+            Effect.flatMap((encoded) => Effect.orDie(writeRaw(encoded))),
+            Effect.orDie,
+          ),
+        ),
+      );
 
     clients.set(clientId, { write });
     clientIds.add(clientId);
 
-    yield* socket.runRaw((data) => {
-      try {
-        const decoded = parser.decode(data) as ReadonlyArray<RpcMessage.FromClientEncoded>;
-        return Effect.forEach(decoded, (message) => {
-          if (message._tag === "Request" && headers !== undefined) {
-            return writeRequest(clientId, {
-              ...message,
-              headers: headers.concat(message.headers),
-            });
-          }
-          return writeRequest(clientId, message);
-        }, { discard: true });
-      } catch (cause) {
-        return writeRaw(parser.encode(RpcMessage.ResponseDefectEncoded(cause))!);
-      }
-    }).pipe(
+    yield* socket.runRaw((data) =>
+      Effect.sync(() => parser.decode(data) as ReadonlyArray<RpcMessage.FromClientEncoded>).pipe(
+        Effect.flatMap((decoded) =>
+          Effect.forEach(decoded, (message) => {
+            if (message._tag === "Request" && headers !== undefined) {
+              return writeRequest(clientId, {
+                ...message,
+                headers: headers.concat(message.headers),
+              });
+            }
+            return writeRequest(clientId, message);
+          }, { discard: true }),
+        ),
+        Effect.catchDefect((cause: unknown) =>
+          encodeDefect(cause).pipe(
+            Effect.flatMap((encoded) => writeRaw(encoded)),
+          ),
+        ),
+      )
+    ).pipe(
       Effect.catchReason("SocketError", "SocketCloseError", () => Effect.void),
       Effect.orDie,
     );

ts/packages/flow/src/gateway/rpc-server.ts

@@ -42,7 +42,7 @@ const makeGatewayRpcHandlers = (dispatcher: DispatcherManager) =>
       Dispatch: (payload) =>
         Effect.tryPromise({
           try: () => dispatchOne(dispatcher, payload),
-          catch: (cause) => new DispatchError({ message: errorMessage(cause) }),
+          catch: (cause) => DispatchError.make({ message: errorMessage(cause) }),
         }),
       DispatchStream: Effect.fn("GatewayRpc.DispatchStream")(function* (payload) {
         const context = yield* Effect.context<never>();
@@ -52,11 +52,10 @@ const makeGatewayRpcHandlers = (dispatcher: DispatcherManager) =>
 
         yield* Effect.tryPromise({
           try: () =>
-            dispatchStream(dispatcher, payload, async (response, complete) => {
-              await runPromise(Queue.offer(queue, new DispatchStreamChunk({ response, complete })));
-              return complete;
-            }),
-          catch: (cause) => new DispatchError({ message: errorMessage(cause) }),
+            dispatchStream(dispatcher, payload, (response, complete) =>
+              runPromise(Queue.offer(queue, DispatchStreamChunk.make({ response, complete }))).then(() => complete),
+            ),
+          catch: (cause) => DispatchError.make({ message: errorMessage(cause) }),
         }).pipe(
           Effect.flatMap(() => Queue.end(queue)),
           Effect.catch((error) => Queue.fail(queue, error)),
@@ -82,26 +81,24 @@ function dispatchOne(
   return dispatcher.dispatchGlobalService(payload.service, payload.request);
 }
 
-async function dispatchStream(
+function dispatchStream(
   dispatcher: DispatcherManager,
   payload: DispatchPayload,
   responder: (response: unknown, complete: boolean) => Promise<boolean>,
 ): Promise<void> {
-  const send = async (response: unknown, complete: boolean) => {
-    await responder(response, complete);
-  };
+  const send = (response: unknown, complete: boolean): Promise<void> =>
+    responder(response, complete).then(() => undefined);
 
   if (payload.scope === "flow") {
-    await dispatcher.dispatchFlowServiceStreaming(
+    return dispatcher.dispatchFlowServiceStreaming(
       payload.flow ?? "default",
       payload.service,
       payload.request,
       send,
     );
-    return;
   }
 
-  await dispatcher.dispatchGlobalServiceStreaming(
+  return dispatcher.dispatchGlobalServiceStreaming(
     payload.service,
     payload.request,
     send,

ts/packages/flow/src/gateway/server.ts

@@ -7,13 +7,13 @@
  * Python reference: trustgraph-flow/trustgraph/gateway/service.py
  */
 
-import Fastify from "fastify";
+import Fastify, { type FastifyReply } from "fastify";
 import websocketPlugin from "@fastify/websocket";
-import { Config, Effect, Exit, Scope } from "effect";
+import { Clock, Config, Effect, Exit, Random, Scope } from "effect";
 import * as O from "effect/Option";
 import * as RpcSerialization from "effect/unstable/rpc/RpcSerialization";
 import * as EffectSocket from "effect/unstable/socket/Socket";
-import { optionalStringConfig, registry, toTgError, type PubSubBackend } from "@trustgraph/base";
+import { messagingLifecycleError, optionalStringConfig, registry, toTgError, type PubSubBackend } from "@trustgraph/base";
 import { makeDispatcherManager } from "./dispatch/manager.js";
 import { makeGatewayRpcServer } from "./rpc-server.js";
 
@@ -25,187 +25,227 @@ export interface GatewayConfig {
   pubsub?: PubSubBackend;
 }
 
-export async function createGateway(config: GatewayConfig) {
+export function createGateway(config: GatewayConfig) {
   const app = Fastify({ logger: true });
-  await app.register(websocketPlugin);
-
   const dispatcher = makeDispatcherManager(config);
-  await dispatcher.start();
-  const rpcScope = await Effect.runPromise(Scope.make());
-  const rpcServer = await Effect.runPromise(
-    makeGatewayRpcServer(dispatcher).pipe(
-      Effect.provideService(RpcSerialization.RpcSerialization, RpcSerialization.ndjson),
-      Scope.provide(rpcScope),
-    ),
-  );
 
-  // Authentication middleware
-  app.addHook("onRequest", async (request, reply) => {
-    if (request.url === "/api/v1/metrics") return;
-    if (request.url.startsWith("/api/v1/rpc")) return; // RPC socket auth via query param
-
-    if (config.secret !== undefined && config.secret.length > 0) {
-      const auth = request.headers.authorization;
-      if (auth === undefined || auth !== `Bearer ${config.secret}`) {
-        reply.code(401).send({ error: "Unauthorized" });
-      }
+  const sendDispatchResult = (reply: FastifyReply, result: unknown): unknown => {
+    const err = (result as Record<string, unknown>)?.error as { type?: string; message?: string } | undefined;
+    if (err !== undefined) {
+      const statusCode = err.type === "not-found" ? 404 : 400;
+      return reply.code(statusCode).send(result);
     }
-  });
-
-  app.post<{
-    Body: {
-      scope?: string;
-      service?: string;
-      flow?: string;
-      request?: Record<string, unknown>;
-    };
-  }>("/api/v1/workbench/dispatch", async (request, reply) => {
-    const body = request.body;
-    const service = body.service;
-    const payload = body.request;
-    if (service === undefined || service.length === 0 || payload === undefined) {
-      return reply.code(400).send({
-        error: { type: "bad-request", message: "service and request are required" },
-      });
-    }
-
-    try {
-      const result = body.scope === "flow"
-        ? await dispatcher.dispatchFlowService(body.flow ?? "default", service, payload)
-        : await dispatcher.dispatchGlobalService(service, payload);
-      const err = (result as Record<string, unknown>)?.error as { type?: string; message?: string } | undefined;
-      if (err !== undefined) {
-        const statusCode = err.type === "not-found" ? 404 : 400;
-        return reply.code(statusCode).send(result);
-      }
-      return result;
-    } catch (err) {
-      reply.code(500).send({ error: toTgError(err) });
-    }
-  });
-
-  // REST endpoint: POST /api/v1/:kind  (global services)
-  app.post<{ Params: { kind: string } }>("/api/v1/:kind", async (request, reply) => {
-    const { kind } = request.params;
-    const body = request.body as Record<string, unknown>;
-
-    try {
-      const result = await dispatcher.dispatchGlobalService(kind, body) as Record<string, unknown>;
-      const err = result?.error as { type?: string; message?: string } | undefined;
-      if (err !== undefined) {
-        const statusCode = err.type === "not-found" ? 404 : 400;
-        return reply.code(statusCode).send(result);
-      }
-      return result;
-    } catch (err) {
-      reply.code(500).send({ error: toTgError(err) });
-    }
-  });
-
-  // REST endpoint: POST /api/v1/flow/:flow/service/:kind  (flow-scoped services)
-  app.post<{ Params: { flow: string; kind: string } }>(
-    "/api/v1/flow/:flow/service/:kind",
-    async (request, reply) => {
-      const { flow, kind } = request.params;
-      const body = request.body as Record<string, unknown>;
-
-      try {
-        const result = await dispatcher.dispatchFlowService(flow, kind, body) as Record<string, unknown>;
-        const err = result?.error as { type?: string; message?: string } | undefined;
-        if (err !== undefined) {
-          const statusCode = err.type === "not-found" ? 404 : 400;
-          return reply.code(statusCode).send(result);
-        }
-        return result;
-      } catch (err) {
-        reply.code(500).send({ error: toTgError(err) });
-      }
-    },
-  );
-
-  // REST endpoint: POST /api/v1/flow/:flow/load  (trigger document processing)
-  app.post<{ Params: { flow: string } }>(
-    "/api/v1/flow/:flow/load",
-    async (request, reply) => {
-      const { flow } = request.params;
-      const body = request.body as {
-        documentId?: string;
-        user?: string;
-        collection?: string;
-      };
-
-      if (body.documentId === undefined || body.documentId.length === 0) {
-        return reply.code(400).send({
-          error: { type: "bad-request", message: "documentId is required" },
-        });
-      }
-
-      try {
-        const user = body.user ?? "default";
-        const collection = body.collection ?? "default";
-        const documentId = body.documentId;
-
-        // Publish Document message to the decode-input topic
-        const topic = "tg.flow.document";
-        const metadata = {
-          id: `load-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`,
-          root: documentId,
-          user,
-          collection,
-        };
-
-        await dispatcher.publishToTopic(topic, { metadata, documentId });
-
-        return { status: "processing", documentId, flow };
-      } catch (err) {
-        reply.code(500).send({
-          error: toTgError(err),
-        });
-      }
-    },
-  );
-
-  // Effect RPC WebSocket endpoint: /api/v1/rpc
-  app.get("/api/v1/rpc", { websocket: true }, (socket, request) => {
-    const url = new URL(request.url, `http://${request.headers.host}`);
-    const token = url.searchParams.get("token");
-    if (config.secret !== undefined && config.secret.length > 0 && token !== config.secret) {
-      socket.close(4001, "Unauthorized");
-      return;
-    }
-
-    const program = Effect.scoped(
-      Effect.gen(function* () {
-        const effectSocket = yield* EffectSocket.fromWebSocket(
-          Effect.succeed(socket as unknown as globalThis.WebSocket),
-          { closeCodeIsError: (code) => code !== 1000 },
-        );
-        yield* rpcServer.onSocket(effectSocket, headersFrom(request.headers));
-      }),
-    );
-
-    Effect.runPromise(program.pipe(Scope.provide(rpcScope))).catch((err) => {
-      console.error("[Gateway] RPC WebSocket error:", err);
-      if (socket.readyState === 1) {
-        socket.close(1011, "Internal server error");
-      }
-    });
-  });
-
-  // Metrics endpoint — returns Prometheus metrics from prom-client
-  app.get("/api/v1/metrics", async (_, reply) => {
-    reply.header("content-type", registry.contentType);
-    return registry.metrics();
-  });
-
-  return {
-    start: () => app.listen({ port: config.port, host: "0.0.0.0" }),
-    stop: async () => {
-      await app.close();
-      await Effect.runPromise(Scope.close(rpcScope, Exit.void));
-      await dispatcher.stop();
-    },
+    return result;
   };
+
+  const sendDispatchError = (reply: FastifyReply, error: unknown): unknown =>
+    reply.code(500).send({ error: toTgError(error) });
+
+  return Effect.runPromise(
+    Effect.gen(function* () {
+      yield* Effect.tryPromise({
+        try: () => app.register(websocketPlugin),
+        catch: (cause) => messagingLifecycleError("gateway", "register-websocket", cause),
+      });
+
+      yield* Effect.tryPromise({
+        try: () => dispatcher.start(),
+        catch: (cause) => messagingLifecycleError("gateway", "dispatcher-start", cause),
+      });
+
+      const rpcScope = yield* Scope.make();
+      const rpcServer = yield* makeGatewayRpcServer(dispatcher).pipe(
+        Effect.provideService(RpcSerialization.RpcSerialization, RpcSerialization.ndjson),
+        Scope.provide(rpcScope),
+      );
+
+      return { rpcScope, rpcServer };
+    }),
+  ).then(({ rpcScope, rpcServer }) => {
+      // Authentication middleware
+      app.addHook("onRequest", (request, reply) => {
+        if (request.url === "/api/v1/metrics") return;
+        if (request.url.startsWith("/api/v1/rpc")) return; // RPC socket auth via query param
+
+        if (config.secret !== undefined && config.secret.length > 0) {
+          const auth = request.headers.authorization;
+          if (auth === undefined || auth !== `Bearer ${config.secret}`) {
+            reply.code(401).send({ error: "Unauthorized" });
+          }
+        }
+      });
+
+      app.post<{
+        Body: {
+          scope?: string;
+          service?: string;
+          flow?: string;
+          request?: Record<string, unknown>;
+        };
+      }>("/api/v1/workbench/dispatch", (request, reply) => {
+        const body = request.body;
+        const service = body.service;
+        const payload = body.request;
+        if (service === undefined || service.length === 0 || payload === undefined) {
+          return reply.code(400).send({
+            error: { type: "bad-request", message: "service and request are required" },
+          });
+        }
+
+        return Effect.runPromise(
+          Effect.tryPromise({
+            try: () =>
+              body.scope === "flow"
+                ? dispatcher.dispatchFlowService(body.flow ?? "default", service, payload)
+                : dispatcher.dispatchGlobalService(service, payload),
+            catch: (cause) => messagingLifecycleError("gateway", "workbench-dispatch", cause),
+          }).pipe(
+            Effect.map((result) => sendDispatchResult(reply, result)),
+            Effect.catch((error) => Effect.succeed(sendDispatchError(reply, error))),
+          ),
+        );
+      });
+
+      // REST endpoint: POST /api/v1/:kind  (global services)
+      app.post<{ Params: { kind: string } }>("/api/v1/:kind", (request, reply) => {
+        const { kind } = request.params;
+        const body = request.body as Record<string, unknown>;
+
+        return Effect.runPromise(
+          Effect.tryPromise({
+            try: () => dispatcher.dispatchGlobalService(kind, body),
+            catch: (cause) => messagingLifecycleError("gateway", "global-dispatch", cause),
+          }).pipe(
+            Effect.map((result) => sendDispatchResult(reply, result)),
+            Effect.catch((error) => Effect.succeed(sendDispatchError(reply, error))),
+          ),
+        );
+      });
+
+      // REST endpoint: POST /api/v1/flow/:flow/service/:kind  (flow-scoped services)
+      app.post<{ Params: { flow: string; kind: string } }>(
+        "/api/v1/flow/:flow/service/:kind",
+        (request, reply) => {
+          const { flow, kind } = request.params;
+          const body = request.body as Record<string, unknown>;
+
+          return Effect.runPromise(
+            Effect.tryPromise({
+              try: () => dispatcher.dispatchFlowService(flow, kind, body),
+              catch: (cause) => messagingLifecycleError("gateway", "flow-dispatch", cause),
+            }).pipe(
+              Effect.map((result) => sendDispatchResult(reply, result)),
+              Effect.catch((error) => Effect.succeed(sendDispatchError(reply, error))),
+            ),
+          );
+        },
+      );
+
+      // REST endpoint: POST /api/v1/flow/:flow/load  (trigger document processing)
+      app.post<{ Params: { flow: string } }>(
+        "/api/v1/flow/:flow/load",
+        (request, reply) => {
+          const { flow } = request.params;
+          const body = request.body as {
+            documentId?: string;
+            user?: string;
+            collection?: string;
+          };
+
+          if (body.documentId === undefined || body.documentId.length === 0) {
+            return reply.code(400).send({
+              error: { type: "bad-request", message: "documentId is required" },
+            });
+          }
+
+          return Effect.runPromise(
+            Effect.gen(function* () {
+              const user = body.user ?? "default";
+              const collection = body.collection ?? "default";
+              const documentId = body.documentId;
+              const timestamp = yield* Clock.currentTimeMillis;
+              const suffix = yield* Random.nextIntBetween(0, 36 ** 6, { halfOpen: true });
+
+              // Publish Document message to the decode-input topic
+              const topic = "tg.flow.document";
+              const metadata = {
+                id: `load-${timestamp}-${suffix.toString(36).padStart(6, "0")}`,
+                root: documentId,
+                user,
+                collection,
+              };
+
+              yield* Effect.tryPromise({
+                try: () => dispatcher.publishToTopic(topic, { metadata, documentId }),
+                catch: (cause) => messagingLifecycleError("gateway", "publish-load", cause),
+              });
+
+              return { status: "processing", documentId, flow };
+            }).pipe(
+              Effect.catch((error) => Effect.succeed(sendDispatchError(reply, error))),
+            ),
+          );
+        },
+      );
+
+      // Effect RPC WebSocket endpoint: /api/v1/rpc
+      app.get("/api/v1/rpc", { websocket: true }, (socket, request) => {
+        const url = new URL(request.url, `http://${request.headers.host}`);
+        const token = url.searchParams.get("token");
+        if (config.secret !== undefined && config.secret.length > 0 && token !== config.secret) {
+          socket.close(4001, "Unauthorized");
+          return;
+        }
+
+        const program = Effect.scoped(
+          Effect.gen(function* () {
+            const effectSocket = yield* EffectSocket.fromWebSocket(
+              Effect.succeed(socket as unknown as globalThis.WebSocket),
+              { closeCodeIsError: (code) => code !== 1000 },
+            );
+            yield* rpcServer.onSocket(effectSocket, headersFrom(request.headers));
+          }),
+        );
+
+        void Effect.runPromise(program.pipe(Scope.provide(rpcScope))).catch((error) => {
+          void Effect.runPromise(
+            Effect.logError("[Gateway] RPC WebSocket error", { error: toTgError(error).message }).pipe(
+              Effect.flatMap(() =>
+                Effect.sync(() => {
+                  if (socket.readyState === 1) {
+                    socket.close(1011, "Internal server error");
+                  }
+                }),
+              ),
+            ),
+          );
+        });
+      });
+
+      // Metrics endpoint — returns Prometheus metrics from prom-client
+      app.get("/api/v1/metrics", (_, reply) => {
+        reply.header("content-type", registry.contentType);
+        return registry.metrics();
+      });
+
+      return {
+        start: () => app.listen({ port: config.port, host: "0.0.0.0" }),
+        stop: () =>
+          Effect.runPromise(
+            Effect.gen(function* () {
+              yield* Effect.tryPromise({
+                try: () => app.close(),
+                catch: (cause) => messagingLifecycleError("gateway", "app-close", cause),
+              });
+              yield* Scope.close(rpcScope, Exit.void);
+              yield* Effect.tryPromise({
+                try: () => dispatcher.stop(),
+                catch: (cause) => messagingLifecycleError("gateway", "dispatcher-stop", cause),
+              });
+            }),
+          ),
+      };
+  });
 }
 
 function headersFrom(headers: Record<string, string | string[] | number | undefined>): ReadonlyArray<[string, string]> {
@@ -217,8 +257,8 @@ function headersFrom(headers: Record<string, string | string[] | number | undefi
   });
 }
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }
 
 export const loadGatewayConfig = Effect.fn("loadGatewayConfig")(function* () {

ts/packages/flow/src/model/text-completion/azure-openai.ts

@@ -19,9 +19,15 @@ import {
   type ProcessorConfig,
   type LlmResult,
   type LlmChunk,
-  tooManyRequestsError,
 } from "@trustgraph/base";
-import { Effect, Layer } from "effect";
+import { Effect, Layer, Stream } from "effect";
+import {
+  optionalStringConfig,
+  providerStatusError,
+  requiredString,
+  toAsyncGenerator,
+  type TextCompletionRuntimeError,
+} from "./common.ts";
 
 export type AzureOpenAIProcessorConfig = ProcessorConfig & {
   model?: string;
@@ -32,32 +38,65 @@ export type AzureOpenAIProcessorConfig = ProcessorConfig & {
   maxOutput?: number;
 };
 
-export function makeAzureOpenAIProvider(config: AzureOpenAIProcessorConfig): LlmProvider {
-  const defaultModel = config.model ?? process.env.AZURE_MODEL ?? "gpt-4o";
-  const defaultTemperature = config.temperature ?? 0.0;
-  const maxOutput = config.maxOutput ?? 4096;
-
-    const apiKey = config.apiKey ?? process.env.AZURE_TOKEN;
-    if (apiKey === undefined || apiKey.length === 0) {
-      throw new Error("Azure OpenAI API key not specified");
-    }
-
-    const endpoint = config.endpoint ?? process.env.AZURE_ENDPOINT;
-    if (endpoint === undefined || endpoint.length === 0) {
-      throw new Error("Azure OpenAI endpoint not specified");
-    }
+type ResolvedAzureOpenAIConfig = {
+  readonly defaultModel: string;
+  readonly defaultTemperature: number;
+  readonly maxOutput: number;
+  readonly apiKey: string;
+  readonly endpoint: string;
+  readonly apiVersion: string;
+};
 
+const loadAzureOpenAIConfig = Effect.fn("loadAzureOpenAIConfig")(function* (
+  config: AzureOpenAIProcessorConfig,
+) {
+    const defaultModel =
+      config.model ?? (yield* optionalStringConfig("AzureOpenAI", "AZURE_MODEL")) ?? "gpt-4o";
+    const apiKey = yield* requiredString(
+      config.apiKey ?? (yield* optionalStringConfig("AzureOpenAI", "AZURE_TOKEN")),
+      "AzureOpenAI",
+      "AZURE_TOKEN",
+      "Azure OpenAI API key not specified",
+    );
+    const endpoint = yield* requiredString(
+      config.endpoint ?? (yield* optionalStringConfig("AzureOpenAI", "AZURE_ENDPOINT")),
+      "AzureOpenAI",
+      "AZURE_ENDPOINT",
+      "Azure OpenAI endpoint not specified",
+    );
     const apiVersion =
       config.apiVersion ??
-      process.env.AZURE_API_VERSION ??
+      (yield* optionalStringConfig("AzureOpenAI", "AZURE_API_VERSION")) ??
       "2024-12-01-preview";
 
+    return {
+      defaultModel,
+      defaultTemperature: config.temperature ?? 0.0,
+      maxOutput: config.maxOutput ?? 4096,
+      apiKey,
+      endpoint,
+      apiVersion,
+    };
+});
+
+const mapAzureOpenAIError = (error: unknown): TextCompletionRuntimeError =>
+  providerStatusError("AzureOpenAI", error);
+
+export function makeAzureOpenAIProvider(config: AzureOpenAIProcessorConfig): LlmProvider {
+  const {
+    defaultModel,
+    defaultTemperature,
+    maxOutput,
+    apiKey,
+    endpoint,
+    apiVersion,
+  } = Effect.runSync(loadAzureOpenAIConfig(config)) satisfies ResolvedAzureOpenAIConfig;
   const client = new AzureOpenAI({ apiKey, apiVersion, endpoint });
 
-    console.log("[AzureOpenAI] LLM service initialized");
+  Effect.runSync(Effect.log("[AzureOpenAI] LLM service initialized"));
 
   return {
-    generateContent: async (
+    generateContent: (
       system: string,
       prompt: string,
       model?: string,
@@ -66,87 +105,106 @@ export function makeAzureOpenAIProvider(config: AzureOpenAIProcessorConfig): Llm
       const modelName = model ?? defaultModel;
       const temp = temperature ?? defaultTemperature;
 
-      try {
-        const resp = await client.chat.completions.create({
-          model: modelName,
-          messages: [
-            { role: "system", content: system },
-            { role: "user", content: prompt },
-          ],
-          temperature: temp,
-          max_completion_tokens: maxOutput,
-        });
-
-        return {
-          text: resp.choices[0].message.content ?? "",
-          inToken: resp.usage?.prompt_tokens ?? 0,
-          outToken: resp.usage?.completion_tokens ?? 0,
-          model: modelName,
-        };
-      } catch (err) {
-        if ((err as any)?.status === 429) {
-          throw tooManyRequestsError();
-        }
-        throw err;
-      }
+      return Effect.runPromise(
+        Effect.tryPromise({
+          try: () =>
+            client.chat.completions.create({
+              model: modelName,
+              messages: [
+                { role: "system", content: system },
+                { role: "user", content: prompt },
+              ],
+              temperature: temp,
+              max_completion_tokens: maxOutput,
+            }),
+          catch: mapAzureOpenAIError,
+        }).pipe(
+          Effect.map((resp): LlmResult => ({
+            text: resp.choices[0].message.content ?? "",
+            inToken: resp.usage?.prompt_tokens ?? 0,
+            outToken: resp.usage?.completion_tokens ?? 0,
+            model: modelName,
+          })),
+        ),
+      );
     },
     supportsStreaming: () => true,
-    generateContentStream: async function* (
+    generateContentStream: (
       system: string,
       prompt: string,
       model?: string,
       temperature?: number,
-    ): AsyncGenerator<LlmChunk> {
+    ): AsyncGenerator<LlmChunk> => {
       const modelName = model ?? defaultModel;
       const temp = temperature ?? defaultTemperature;
 
-      try {
-        const stream = await client.chat.completions.create({
-          model: modelName,
-          messages: [
-            { role: "system", content: system },
-            { role: "user", content: prompt },
-          ],
-          temperature: temp,
-          max_completion_tokens: maxOutput,
-          stream: true,
-          stream_options: { include_usage: true },
-        });
-
+      const stream = Stream.fromEffect(
+        Effect.tryPromise({
+          try: () =>
+            client.chat.completions.create({
+              model: modelName,
+              messages: [
+                { role: "system", content: system },
+                { role: "user", content: prompt },
+              ],
+              temperature: temp,
+              max_completion_tokens: maxOutput,
+              stream: true,
+              stream_options: { include_usage: true },
+            }),
+          catch: mapAzureOpenAIError,
+        }),
+      ).pipe(
+        Stream.flatMap((openAIStream) => {
+          const iterator = openAIStream[Symbol.asyncIterator]();
         let totalInputTokens = 0;
         let totalOutputTokens = 0;
 
-        for await (const chunk of stream) {
-          const content = chunk.choices[0]?.delta?.content;
-          if (content !== null && content !== undefined && content.length > 0) {
-            yield {
-              text: content,
-              inToken: null,
-              outToken: null,
-              model: modelName,
-              isFinal: false,
-            };
-          }
+          return Stream.unfold<"pulling" | "done", LlmChunk, TextCompletionRuntimeError, never>(
+            "pulling",
+            (state) => {
+              if (state === "done") return Effect.void as Effect.Effect<undefined>;
 
-          if (chunk.usage !== null && chunk.usage !== undefined) {
-            totalInputTokens = chunk.usage.prompt_tokens;
-            totalOutputTokens = chunk.usage.completion_tokens;
-          }
-        }
+              return Effect.gen(function* () {
+                while (true) {
+                  const next = yield* Effect.tryPromise({
+                    try: () => iterator.next(),
+                    catch: mapAzureOpenAIError,
+                  });
 
-        yield {
-          text: "",
-          inToken: totalInputTokens,
-          outToken: totalOutputTokens,
-          model: modelName,
-          isFinal: true,
-        };
-      } catch (err) {
-        if ((err as any)?.status === 429) {
-          throw tooManyRequestsError();
-        }
-        throw err;
-      }
+                  if (next.done === true) {
+                    return [{
+                      text: "",
+                      inToken: totalInputTokens,
+                      outToken: totalOutputTokens,
+                      model: modelName,
+                      isFinal: true,
+                    }, "done"] as const;
+                  }
+
+                  const chunk = next.value;
+                  const content = chunk.choices[0]?.delta?.content;
+                  if (chunk.usage !== null && chunk.usage !== undefined) {
+                    totalInputTokens = chunk.usage.prompt_tokens;
+                    totalOutputTokens = chunk.usage.completion_tokens;
+                  }
+                  if (content !== null && content !== undefined && content.length > 0) {
+                    return [{
+                      text: content,
+                      inToken: null,
+                      outToken: null,
+                      model: modelName,
+                      isFinal: false,
+                    }, "pulling"] as const;
+                  }
+                }
+              });
+            },
+          );
+        }),
+      );
+
+      return toAsyncGenerator(Stream.toAsyncIterable(stream), mapAzureOpenAIError);
     },
   };
 }
@@ -171,6 +229,6 @@ export const program = makeFlowProcessorProgram<ProcessorConfig, never, Llm>({
     ),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/model/text-completion/claude.ts

@@ -15,9 +15,15 @@ import {
   type ProcessorConfig,
   type LlmResult,
   type LlmChunk,
-  tooManyRequestsError,
 } from "@trustgraph/base";
-import { Effect, Layer } from "effect";
+import { Effect, Layer, Stream } from "effect";
+import {
+  optionalStringConfig,
+  providerStatusError,
+  requiredString,
+  toAsyncGenerator,
+  type TextCompletionRuntimeError,
+} from "./common.ts";
 
 export type ClaudeProcessorConfig = ProcessorConfig & {
   model?: string;
@@ -26,21 +32,46 @@ export type ClaudeProcessorConfig = ProcessorConfig & {
   maxOutput?: number;
 };
 
+type ResolvedClaudeConfig = {
+  readonly defaultModel: string;
+  readonly defaultTemperature: number;
+  readonly maxOutput: number;
+  readonly apiKey: string;
+};
+
+const loadClaudeConfig = Effect.fn("loadClaudeConfig")(function*(config: ClaudeProcessorConfig) {
+    const apiKey = yield* requiredString(
+      config.apiKey ?? (yield* optionalStringConfig("Claude", "CLAUDE_KEY")),
+      "Claude",
+      "CLAUDE_KEY",
+      "Claude API key not specified",
+    );
+
+    return {
+      defaultModel: config.model ?? "claude-sonnet-4-20250514",
+      defaultTemperature: config.temperature ?? 0.0,
+      maxOutput: config.maxOutput ?? 8192,
+      apiKey,
+    } satisfies ResolvedClaudeConfig;
+});
+
+const mapClaudeError = (error: unknown): TextCompletionRuntimeError =>
+  providerStatusError("Claude", error);
+
 export function makeClaudeProvider(config: ClaudeProcessorConfig): LlmProvider {
-  const defaultModel = config.model ?? "claude-sonnet-4-20250514";
-  const defaultTemperature = config.temperature ?? 0.0;
-  const maxOutput = config.maxOutput ?? 8192;
-    const apiKey = config.apiKey ?? process.env.CLAUDE_KEY;
-    if (apiKey === undefined || apiKey.length === 0) {
-      throw new Error("Claude API key not specified");
-    }
+  const {
+    defaultModel,
+    defaultTemperature,
+    maxOutput,
+    apiKey,
+  } = Effect.runSync(loadClaudeConfig(config)) satisfies ResolvedClaudeConfig;
 
   const client = new Anthropic({ apiKey });
 
-    console.log("[Claude] LLM service initialized");
+  Effect.runSync(Effect.log("[Claude] LLM service initialized"));
 
   return {
-    generateContent: async (
+    generateContent: (
       system: string,
       prompt: string,
       model?: string,
@@ -49,88 +80,120 @@ export function makeClaudeProvider(config: ClaudeProcessorConfig): LlmProvider {
       const modelName = model ?? defaultModel;
       const temp = temperature ?? defaultTemperature;
 
-      try {
-        const response = await client.messages.create({
-          model: modelName,
-          max_tokens: maxOutput,
-          temperature: temp,
-          system,
-          messages: [
-            { role: "user", content: prompt },
-          ],
-        });
+      return Effect.runPromise(
+        Effect.tryPromise({
+          try: () =>
+            client.messages.create({
+              model: modelName,
+              max_tokens: maxOutput,
+              temperature: temp,
+              system,
+              messages: [
+                { role: "user", content: prompt },
+              ],
+            }),
+          catch: mapClaudeError,
+        }).pipe(
+          Effect.map((response): LlmResult => {
+            const firstContent = response.content[0];
+            const text = firstContent?.type === "text"
+              ? firstContent.text
+              : "";
 
-        const text = response.content[0].type === "text"
-          ? response.content[0].text
-          : "";
-
-        return {
-          text,
-          inToken: response.usage.input_tokens,
-          outToken: response.usage.output_tokens,
-          model: modelName,
-        };
-      } catch (err) {
-        if (err instanceof Anthropic.RateLimitError) {
-          throw tooManyRequestsError();
-        }
-        throw err;
-      }
+            return {
+              text,
+              inToken: response.usage.input_tokens,
+              outToken: response.usage.output_tokens,
+              model: modelName,
+            };
+          }),
+        ),
+      );
     },
     supportsStreaming: () => true,
-    generateContentStream: async function* (
+    generateContentStream: (
       system: string,
       prompt: string,
       model?: string,
       temperature?: number,
-    ): AsyncGenerator<LlmChunk> {
+    ): AsyncGenerator<LlmChunk> => {
       const modelName = model ?? defaultModel;
       const temp = temperature ?? defaultTemperature;
 
-      try {
-        const stream = client.messages.stream({
-          model: modelName,
-          max_tokens: maxOutput,
-          temperature: temp,
-          system,
-          messages: [
-            { role: "user", content: prompt },
-          ],
-        });
-
-        for await (const event of stream) {
-          if (event.type === "content_block_delta" && event.delta.type === "text_delta") {
-            yield {
-              text: event.delta.text,
-              inToken: null,
-              outToken: null,
+      const stream = Stream.fromEffect(
+        Effect.try({
+          try: () =>
+            client.messages.stream({
               model: modelName,
-              isFinal: false,
-            };
-          }
-        }
+              max_tokens: maxOutput,
+              temperature: temp,
+              system,
+              messages: [
+                { role: "user", content: prompt },
+              ],
+            }),
+          catch: mapClaudeError,
+        }),
+      ).pipe(
+        Stream.flatMap((anthropicStream) => {
+          const iterator = anthropicStream[Symbol.asyncIterator]();
 
-        const finalMessage = await stream.finalMessage();
-        yield {
-          text: "",
-          inToken: finalMessage.usage.input_tokens,
-          outToken: finalMessage.usage.output_tokens,
-          model: modelName,
-          isFinal: true,
-        };
-      } catch (err) {
-        if (err instanceof Anthropic.RateLimitError) {
-          throw tooManyRequestsError();
-        }
-        throw err;
-      }
+          return Stream.unfold<"pulling" | "done", LlmChunk, TextCompletionRuntimeError, never>(
+            "pulling",
+            (state) => {
+              if (state === "done") return Effect.void as Effect.Effect<undefined>;
+
+              return Effect.gen(function* () {
+                while (true) {
+                  const next = yield* Effect.tryPromise({
+                    try: () => iterator.next(),
+                    catch: mapClaudeError,
+                  });
+
+                  if (next.done === true) {
+                    const finalMessage = yield* Effect.tryPromise({
+                      try: () => anthropicStream.finalMessage(),
+                      catch: mapClaudeError,
+                    });
+                    return [{
+                      text: "",
+                      inToken: finalMessage.usage.input_tokens,
+                      outToken: finalMessage.usage.output_tokens,
+                      model: modelName,
+                      isFinal: true,
+                    }, "done"] as const;
+                  }
+
+                  const event = next.value;
+                  if (
+                    event.type === "content_block_delta" &&
+                    event.delta.type === "text_delta"
+                  ) {
+                    return [{
+                      text: event.delta.text,
+                      inToken: null,
+                      outToken: null,
+                      model: modelName,
+                      isFinal: false,
+                    }, "pulling"] as const;
+                  }
+                }
+              });
+            },
+          );
+        }),
+      );
+
+      return toAsyncGenerator(Stream.toAsyncIterable(stream), mapClaudeError);
     },
   };
 }
 
 export type ClaudeProcessor = ReturnType<typeof makeClaudeProcessor>;
 
-export function makeClaudeProcessor(config: ClaudeProcessorConfig): ReturnType<typeof makeLlmService> {
+export function makeClaudeProcessor(
+  config: ClaudeProcessorConfig,
+): ReturnType<typeof makeLlmService> {
   return makeLlmService(config, makeClaudeProvider(config));
 }
 
@@ -146,6 +209,6 @@ export const program = makeFlowProcessorProgram<ProcessorConfig, never, Llm>({
     ),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/model/text-completion/common.ts

@@ -0,0 +1,101 @@
+import {
+  TooManyRequestsError,
+  errorMessage,
+  type LlmChunk,
+} from "@trustgraph/base";
+import { Config, Effect } from "effect";
+import * as O from "effect/Option";
+import * as S from "effect/Schema";
+
+export class TextCompletionConfigError extends S.TaggedErrorClass<TextCompletionConfigError>()(
+  "TextCompletionConfigError",
+  {
+    message: S.String,
+    provider: S.String,
+    key: S.String,
+  },
+) {}
+
+export class TextCompletionProviderError extends S.TaggedErrorClass<TextCompletionProviderError>()(
+  "TextCompletionProviderError",
+  {
+    message: S.String,
+    provider: S.String,
+  },
+) {}
+
+export type TextCompletionRuntimeError =
+  | TextCompletionProviderError
+  | TooManyRequestsError;
+
+export const optionalStringConfig = Effect.fn("TextCompletion.optionalStringConfig")(function*(
+  provider: string,
+  name: string,
+) {
+  const value = yield* Config.string(name).pipe(
+    Config.option,
+    Effect.mapError((cause) =>
+      TextCompletionConfigError.make({
+        provider,
+        key: name,
+        message: errorMessage(cause),
+      })
+    ),
+  );
+  return O.getOrUndefined(value);
+});
+
+export const requiredString = (
+  value: string | undefined,
+  provider: string,
+  key: string,
+  message: string,
+) =>
+  value !== undefined && value.length > 0
+    ? Effect.succeed(value)
+    : Effect.fail(TextCompletionConfigError.make({ provider, key, message }));
+
+export const providerRuntimeError = (
+  provider: string,
+  error: unknown,
+): TextCompletionRuntimeError =>
+  TextCompletionProviderError.make({
+    provider,
+    message: errorMessage(error),
+  });
+
+export const providerStatusError = (
+  provider: string,
+  error: unknown,
+): TextCompletionRuntimeError => {
+  const status = typeof error === "object" && error !== null && "status" in error
+    ? (error as { readonly status?: unknown }).status
+    : undefined;
+  const statusCode = typeof error === "object" && error !== null && "statusCode" in error
+    ? (error as { readonly statusCode?: unknown }).statusCode
+    : undefined;
+  return status === 429 || statusCode === 429
+    ? TooManyRequestsError.make({ message: "Rate limit exceeded" })
+    : providerRuntimeError(provider, error);
+};
+
+export const toAsyncGenerator = (
+  iterable: AsyncIterable<LlmChunk>,
+  mapError: (error: unknown) => TextCompletionRuntimeError,
+): AsyncGenerator<LlmChunk> => {
+  const iterator = iterable[Symbol.asyncIterator]();
+  let generator: AsyncGenerator<LlmChunk>;
+  generator = {
+    next: (value?: unknown) => iterator.next(value as never),
+    return: (value?: unknown) =>
+      iterator.return === undefined
+        ? Promise.resolve({ done: true, value: value as LlmChunk })
+        : iterator.return(value as never) as Promise<IteratorResult<LlmChunk>>,
+    throw: (error?: unknown) =>
+      iterator.throw === undefined
+        ? Effect.runPromise(Effect.fail(mapError(error))) as Promise<IteratorResult<LlmChunk>>
+        : iterator.throw(error) as Promise<IteratorResult<LlmChunk>>,
+    [Symbol.asyncIterator]: () => generator,
+  } as AsyncGenerator<LlmChunk>;
+  return generator;
+};

ts/packages/flow/src/model/text-completion/mistral.ts

@@ -17,9 +17,15 @@ import {
   type ProcessorConfig,
   type LlmResult,
   type LlmChunk,
-  tooManyRequestsError,
 } from "@trustgraph/base";
-import { Effect, Layer } from "effect";
+import { Effect, Layer, Stream } from "effect";
+import {
+  optionalStringConfig,
+  providerStatusError,
+  requiredString,
+  toAsyncGenerator,
+  type TextCompletionRuntimeError,
+} from "./common.ts";
 
 export type MistralProcessorConfig = ProcessorConfig & {
   model?: string;
@@ -28,22 +34,49 @@ export type MistralProcessorConfig = ProcessorConfig & {
   maxOutput?: number;
 };
 
+type ResolvedMistralConfig = {
+  readonly defaultModel: string;
+  readonly defaultTemperature: number;
+  readonly maxOutput: number;
+  readonly apiKey: string;
+};
+
+const loadMistralConfig = Effect.fn("loadMistralConfig")(function*(config: MistralProcessorConfig) {
+    const apiKey = yield* requiredString(
+      config.apiKey ?? (yield* optionalStringConfig("Mistral", "MISTRAL_TOKEN")),
+      "Mistral",
+      "MISTRAL_TOKEN",
+      "Mistral API key not specified",
+    );
+
+    return {
+      defaultModel:
+        config.model ??
+        (yield* optionalStringConfig("Mistral", "MISTRAL_MODEL")) ??
+        "ministral-8b-latest",
+      defaultTemperature: config.temperature ?? 0.0,
+      maxOutput: config.maxOutput ?? 4096,
+      apiKey,
+    } satisfies ResolvedMistralConfig;
+});
+
+const mapMistralError = (error: unknown): TextCompletionRuntimeError =>
+  providerStatusError("Mistral", error);
+
 export function makeMistralProvider(config: MistralProcessorConfig): LlmProvider {
-  const defaultModel =
-    config.model ?? process.env.MISTRAL_MODEL ?? "ministral-8b-latest";
-  const defaultTemperature = config.temperature ?? 0.0;
-  const maxOutput = config.maxOutput ?? 4096;
-    const apiKey = config.apiKey ?? process.env.MISTRAL_TOKEN;
-    if (apiKey === undefined || apiKey.length === 0) {
-      throw new Error("Mistral API key not specified");
-    }
+  const {
+    defaultModel,
+    defaultTemperature,
+    maxOutput,
+    apiKey,
+  } = Effect.runSync(loadMistralConfig(config)) satisfies ResolvedMistralConfig;
 
   const client = new Mistral({ apiKey });
 
-    console.log("[Mistral] LLM service initialized");
+  Effect.runSync(Effect.log("[Mistral] LLM service initialized"));
 
   return {
-    generateContent: async (
+    generateContent: (
       system: string,
       prompt: string,
       model?: string,
@@ -52,93 +85,114 @@ export function makeMistralProvider(config: MistralProcessorConfig): LlmProvider
       const modelName = model ?? defaultModel;
       const temp = temperature ?? defaultTemperature;
 
-      try {
-        const resp = await client.chat.complete({
-          model: modelName,
-          messages: [
-            { role: "system", content: system },
-            { role: "user", content: prompt },
-          ],
-          temperature: temp,
-          maxTokens: maxOutput,
-        });
-
-        return {
-          text: (resp.choices?.[0]?.message?.content as string) ?? "",
-          inToken: resp.usage?.promptTokens ?? 0,
-          outToken: resp.usage?.completionTokens ?? 0,
-          model: modelName,
-        };
-      } catch (err) {
-        if ((err as any)?.statusCode === 429 || (err as any)?.status === 429) {
-          throw tooManyRequestsError();
-        }
-        throw err;
-      }
+      return Effect.runPromise(
+        Effect.tryPromise({
+          try: () =>
+            client.chat.complete({
+              model: modelName,
+              messages: [
+                { role: "system", content: system },
+                { role: "user", content: prompt },
+              ],
+              temperature: temp,
+              maxTokens: maxOutput,
+            }),
+          catch: mapMistralError,
+        }).pipe(
+          Effect.map((resp): LlmResult => ({
+            text: (resp.choices?.[0]?.message?.content as string) ?? "",
+            inToken: resp.usage?.promptTokens ?? 0,
+            outToken: resp.usage?.completionTokens ?? 0,
+            model: modelName,
+          })),
+        ),
+      );
     },
     supportsStreaming: () => true,
-    generateContentStream: async function* (
+    generateContentStream: (
       system: string,
       prompt: string,
       model?: string,
       temperature?: number,
-    ): AsyncGenerator<LlmChunk> {
+    ): AsyncGenerator<LlmChunk> => {
       const modelName = model ?? defaultModel;
       const temp = temperature ?? defaultTemperature;
 
-      try {
-        const stream = await client.chat.stream({
-          model: modelName,
-          messages: [
-            { role: "system", content: system },
-            { role: "user", content: prompt },
-          ],
-          temperature: temp,
-          maxTokens: maxOutput,
-        });
-
+      const stream = Stream.fromEffect(
+        Effect.tryPromise({
+          try: () =>
+            client.chat.stream({
+              model: modelName,
+              messages: [
+                { role: "system", content: system },
+                { role: "user", content: prompt },
+              ],
+              temperature: temp,
+              maxTokens: maxOutput,
+            }),
+          catch: mapMistralError,
+        }),
+      ).pipe(
+        Stream.flatMap((mistralStream) => {
+          const iterator = mistralStream[Symbol.asyncIterator]();
         let totalInputTokens = 0;
         let totalOutputTokens = 0;
 
-        for await (const chunk of stream) {
-          const delta = chunk.data?.choices?.[0]?.delta;
-          const content = delta?.content;
-          if (typeof content === "string" && content.length > 0) {
-            yield {
-              text: content,
-              inToken: null,
-              outToken: null,
-              model: modelName,
-              isFinal: false,
-            };
-          }
+          return Stream.unfold<"pulling" | "done", LlmChunk, TextCompletionRuntimeError, never>(
+            "pulling",
+            (state) => {
+              if (state === "done") return Effect.void as Effect.Effect<undefined>;
 
-          if (chunk.data?.usage !== undefined) {
-            totalInputTokens = chunk.data.usage.promptTokens ?? 0;
-            totalOutputTokens = chunk.data.usage.completionTokens ?? 0;
-          }
-        }
+              return Effect.gen(function* () {
+                while (true) {
+                  const next = yield* Effect.tryPromise({
+                    try: () => iterator.next(),
+                    catch: mapMistralError,
+                  });
 
-        yield {
-          text: "",
-          inToken: totalInputTokens,
-          outToken: totalOutputTokens,
-          model: modelName,
-          isFinal: true,
-        };
-      } catch (err) {
-        if ((err as any)?.statusCode === 429 || (err as any)?.status === 429) {
-          throw tooManyRequestsError();
-        }
-        throw err;
-      }
+                  if (next.done === true) {
+                    return [{
+                      text: "",
+                      inToken: totalInputTokens,
+                      outToken: totalOutputTokens,
+                      model: modelName,
+                      isFinal: true,
+                    }, "done"] as const;
+                  }
+
+                  const chunk = next.value;
+                  const delta = chunk.data?.choices?.[0]?.delta;
+                  const content = delta?.content;
+                  if (chunk.data?.usage !== undefined) {
+                    totalInputTokens = chunk.data.usage.promptTokens ?? 0;
+                    totalOutputTokens = chunk.data.usage.completionTokens ?? 0;
+                  }
+                  if (typeof content === "string" && content.length > 0) {
+                    return [{
+                      text: content,
+                      inToken: null,
+                      outToken: null,
+                      model: modelName,
+                      isFinal: false,
+                    }, "pulling"] as const;
+                  }
+                }
+              });
+            },
+          );
+        }),
+      );
+
+      return toAsyncGenerator(Stream.toAsyncIterable(stream), mapMistralError);
     },
   };
 }
 
 export type MistralProcessor = ReturnType<typeof makeMistralProcessor>;
 
-export function makeMistralProcessor(config: MistralProcessorConfig): ReturnType<typeof makeLlmService> {
+export function makeMistralProcessor(
+  config: MistralProcessorConfig,
+): ReturnType<typeof makeLlmService> {
   return makeLlmService(config, makeMistralProvider(config));
 }
 
@@ -154,6 +208,6 @@ export const program = makeFlowProcessorProgram<ProcessorConfig, never, Llm>({
     ),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/model/text-completion/ollama.ts

@@ -18,32 +18,51 @@ import {
   type LlmResult,
   type LlmChunk,
 } from "@trustgraph/base";
-import { Effect, Layer } from "effect";
+import { Effect, Layer, Stream } from "effect";
+import {
+  optionalStringConfig,
+  providerRuntimeError,
+  toAsyncGenerator,
+  type TextCompletionRuntimeError,
+} from "./common.ts";
 
 export type OllamaProcessorConfig = ProcessorConfig & {
   model?: string;
   ollamaUrl?: string;
 };
 
-export function makeOllamaProvider(config: OllamaProcessorConfig): LlmProvider {
-  const defaultModel =
-      config.model ??
-      process.env.OLLAMA_MODEL ??
-      "qwen2.5:0.5b";
+type ResolvedOllamaConfig = {
+  readonly defaultModel: string;
+  readonly host: string;
+};
 
-    const host =
-      config.ollamaUrl ??
-      process.env.OLLAMA_URL ??
-      "http://localhost:11434";
+const loadOllamaConfig = Effect.fn("loadOllamaConfig")(function*(config: OllamaProcessorConfig) {
+    return {
+      defaultModel:
+        config.model ??
+        (yield* optionalStringConfig("Ollama", "OLLAMA_MODEL")) ??
+        "qwen2.5:0.5b",
+      host:
+        config.ollamaUrl ??
+        (yield* optionalStringConfig("Ollama", "OLLAMA_URL")) ??
+        "http://localhost:11434",
+    } satisfies ResolvedOllamaConfig;
+});
+
+const mapOllamaError = (error: unknown): TextCompletionRuntimeError =>
+  providerRuntimeError("Ollama", error);
+
+export function makeOllamaProvider(config: OllamaProcessorConfig): LlmProvider {
+  const { defaultModel, host } = Effect.runSync(loadOllamaConfig(config)) satisfies ResolvedOllamaConfig;
 
   const client = new Ollama({ host });
 
-    console.log(
+  Effect.runSync(Effect.log(
     `[Ollama] LLM service initialized (host=${host}, model=${defaultModel})`,
-    );
+  ));
 
   return {
-    generateContent: async (
+    generateContent: (
       system: string,
       prompt: string,
       model?: string,
@@ -52,73 +71,107 @@ export function makeOllamaProvider(config: OllamaProcessorConfig): LlmProvider {
       const modelName = model ?? defaultModel;
       const fullPrompt = system + "\n\n" + prompt;
 
-      const resp = await client.generate({
-        model: modelName,
-        prompt: fullPrompt,
-        stream: false,
-      });
-
-      return {
-        text: resp.response,
-        inToken: resp.prompt_eval_count ?? 0,
-        outToken: resp.eval_count ?? 0,
-        model: modelName,
-      };
+      return Effect.runPromise(
+        Effect.tryPromise({
+          try: () =>
+            client.generate({
+              model: modelName,
+              prompt: fullPrompt,
+              stream: false,
+            }),
+          catch: mapOllamaError,
+        }).pipe(
+          Effect.map((resp): LlmResult => ({
+            text: resp.response,
+            inToken: resp.prompt_eval_count ?? 0,
+            outToken: resp.eval_count ?? 0,
+            model: modelName,
+          })),
+        ),
+      );
     },
     supportsStreaming: () => true,
-    generateContentStream: async function* (
+    generateContentStream: (
       system: string,
       prompt: string,
       model?: string,
       _temperature?: number,
-    ): AsyncGenerator<LlmChunk> {
+    ): AsyncGenerator<LlmChunk> => {
       const modelName = model ?? defaultModel;
       const fullPrompt = system + "\n\n" + prompt;
 
-      const stream = await client.generate({
-        model: modelName,
-        prompt: fullPrompt,
-        stream: true,
-      });
-
+      const stream = Stream.fromEffect(
+        Effect.tryPromise({
+          try: () =>
+            client.generate({
+              model: modelName,
+              prompt: fullPrompt,
+              stream: true,
+            }),
+          catch: mapOllamaError,
+        }),
+      ).pipe(
+        Stream.flatMap((ollamaStream) => {
+          const iterator = ollamaStream[Symbol.asyncIterator]();
       let totalInputTokens = 0;
       let totalOutputTokens = 0;
 
-      for await (const chunk of stream) {
-      // Token counts accumulate across chunks; keep the latest values
-        if (chunk.prompt_eval_count !== undefined) {
-          totalInputTokens = chunk.prompt_eval_count;
-        }
-        if (chunk.eval_count !== undefined) {
-          totalOutputTokens = chunk.eval_count;
-        }
+          return Stream.unfold<"pulling" | "done", LlmChunk, TextCompletionRuntimeError, never>(
+            "pulling",
+            (state) => {
+              if (state === "done") return Effect.void as Effect.Effect<undefined>;
 
-        if (chunk.response.length > 0) {
-          yield {
-            text: chunk.response,
-            inToken: null,
-            outToken: null,
-            model: modelName,
-            isFinal: false,
-          };
-        }
-      }
+              return Effect.gen(function* () {
+                while (true) {
+                  const next = yield* Effect.tryPromise({
+                    try: () => iterator.next(),
+                    catch: mapOllamaError,
+                  });
 
-    // Final chunk with accumulated token counts
-      yield {
-        text: "",
-        inToken: totalInputTokens,
-        outToken: totalOutputTokens,
-        model: modelName,
-        isFinal: true,
-      };
+                  if (next.done === true) {
+                    return [{
+                      text: "",
+                      inToken: totalInputTokens,
+                      outToken: totalOutputTokens,
+                      model: modelName,
+                      isFinal: true,
+                    }, "done"] as const;
+                  }
+
+                  const chunk = next.value;
+                  if (chunk.prompt_eval_count !== undefined) {
+                    totalInputTokens = chunk.prompt_eval_count;
+                  }
+                  if (chunk.eval_count !== undefined) {
+                    totalOutputTokens = chunk.eval_count;
+                  }
+
+                  if (chunk.response.length > 0) {
+                    return [{
+                      text: chunk.response,
+                      inToken: null,
+                      outToken: null,
+                      model: modelName,
+                      isFinal: false,
+                    }, "pulling"] as const;
+                  }
+                }
+              });
+            },
+          );
+        }),
+      );
+
+      return toAsyncGenerator(Stream.toAsyncIterable(stream), mapOllamaError);
     },
   };
 }
 
 export type OllamaProcessor = ReturnType<typeof makeOllamaProcessor>;
 
-export function makeOllamaProcessor(config: OllamaProcessorConfig): ReturnType<typeof makeLlmService> {
+export function makeOllamaProcessor(
+  config: OllamaProcessorConfig,
+): ReturnType<typeof makeLlmService> {
   return makeLlmService(config, makeOllamaProvider(config));
 }
 
@@ -134,6 +187,6 @@ export const program = makeFlowProcessorProgram<ProcessorConfig, never, Llm>({
     ),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/model/text-completion/openai-compatible.ts

@@ -21,7 +21,14 @@ import {
   type LlmResult,
   type LlmChunk,
 } from "@trustgraph/base";
-import { Effect, Layer } from "effect";
+import { Effect, Layer, Stream } from "effect";
+import {
+  optionalStringConfig,
+  providerStatusError,
+  requiredString,
+  toAsyncGenerator,
+  type TextCompletionRuntimeError,
+} from "./common.ts";
 
 export type OpenAICompatibleProcessorConfig = ProcessorConfig & {
   model?: string;
@@ -31,30 +38,57 @@ export type OpenAICompatibleProcessorConfig = ProcessorConfig & {
   maxOutput?: number;
 };
 
+type ResolvedOpenAICompatibleConfig = {
+  readonly defaultModel: string;
+  readonly defaultTemperature: number;
+  readonly maxOutput: number;
+  readonly apiKey: string;
+  readonly baseURL: string;
+};
+
+const loadOpenAICompatibleConfig = Effect.fn("loadOpenAICompatibleConfig")(function*(
+  config: OpenAICompatibleProcessorConfig,
+) {
+    const defaultModel =
+      config.model ?? (yield* optionalStringConfig("OpenAI-Compatible", "OPENAI_COMPAT_MODEL")) ?? "default";
+    const baseURL = yield* requiredString(
+      config.baseUrl ?? (yield* optionalStringConfig("OpenAI-Compatible", "OPENAI_COMPAT_URL")),
+      "OpenAI-Compatible",
+      "OPENAI_COMPAT_URL",
+      "OpenAI-compatible server URL not specified (set OPENAI_COMPAT_URL)",
+    );
+    const apiKey =
+      config.apiKey ?? (yield* optionalStringConfig("OpenAI-Compatible", "OPENAI_COMPAT_KEY")) ?? "sk-no-key-required";
+
+    return {
+      defaultModel,
+      defaultTemperature: config.temperature ?? 0.0,
+      maxOutput: config.maxOutput ?? 4096,
+      apiKey,
+      baseURL,
+    } satisfies ResolvedOpenAICompatibleConfig;
+});
+
+const mapOpenAICompatibleError = (error: unknown): TextCompletionRuntimeError =>
+  providerStatusError("OpenAI-Compatible", error);
+
 export function makeOpenAICompatibleProvider(
   config: OpenAICompatibleProcessorConfig,
 ): LlmProvider {
-  const defaultModel =
-    config.model ?? process.env.OPENAI_COMPAT_MODEL ?? "default";
-  const defaultTemperature = config.temperature ?? 0.0;
-  const maxOutput = config.maxOutput ?? 4096;
-
-    const baseURL = config.baseUrl ?? process.env.OPENAI_COMPAT_URL;
-    if (baseURL === undefined || baseURL.length === 0) {
-      throw new Error(
-        "OpenAI-compatible server URL not specified (set OPENAI_COMPAT_URL)",
-      );
-    }
-
-    const apiKey =
-      config.apiKey ?? process.env.OPENAI_COMPAT_KEY ?? "sk-no-key-required";
+  const {
+    defaultModel,
+    defaultTemperature,
+    maxOutput,
+    apiKey,
+    baseURL,
+  } = Effect.runSync(loadOpenAICompatibleConfig(config)) satisfies ResolvedOpenAICompatibleConfig;
 
   const client = new OpenAI({ baseURL, apiKey });
 
-    console.log("[OpenAI-Compatible] LLM service initialized");
+  Effect.runSync(Effect.log("[OpenAI-Compatible] LLM service initialized"));
 
   return {
-    generateContent: async (
+    generateContent: (
       system: string,
       prompt: string,
       model?: string,
@@ -63,72 +97,105 @@ export function makeOpenAICompatibleProvider(
       const modelName = model ?? defaultModel;
       const temp = temperature ?? defaultTemperature;
 
-      const resp = await client.chat.completions.create({
-        model: modelName,
-        messages: [
-          { role: "system", content: system },
-          { role: "user", content: prompt },
-        ],
-        temperature: temp,
-        max_tokens: maxOutput,
-      });
-
-      return {
-        text: resp.choices[0].message.content ?? "",
-        inToken: resp.usage?.prompt_tokens ?? 0,
-        outToken: resp.usage?.completion_tokens ?? 0,
-        model: modelName,
-      };
+      return Effect.runPromise(
+        Effect.tryPromise({
+          try: () =>
+            client.chat.completions.create({
+              model: modelName,
+              messages: [
+                { role: "system", content: system },
+                { role: "user", content: prompt },
+              ],
+              temperature: temp,
+              max_tokens: maxOutput,
+            }),
+          catch: mapOpenAICompatibleError,
+        }).pipe(
+          Effect.map((resp): LlmResult => ({
+            text: resp.choices[0].message.content ?? "",
+            inToken: resp.usage?.prompt_tokens ?? 0,
+            outToken: resp.usage?.completion_tokens ?? 0,
+            model: modelName,
+          })),
+        ),
+      );
     },
     supportsStreaming: () => true,
-    generateContentStream: async function* (
+    generateContentStream: (
       system: string,
       prompt: string,
       model?: string,
       temperature?: number,
-    ): AsyncGenerator<LlmChunk> {
+    ): AsyncGenerator<LlmChunk> => {
       const modelName = model ?? defaultModel;
       const temp = temperature ?? defaultTemperature;
 
-      const stream = await client.chat.completions.create({
-        model: modelName,
-        messages: [
-          { role: "system", content: system },
-          { role: "user", content: prompt },
-        ],
-        temperature: temp,
-        max_tokens: maxOutput,
-        stream: true,
-      });
-
+      const stream = Stream.fromEffect(
+        Effect.tryPromise({
+          try: () =>
+            client.chat.completions.create({
+              model: modelName,
+              messages: [
+                { role: "system", content: system },
+                { role: "user", content: prompt },
+              ],
+              temperature: temp,
+              max_tokens: maxOutput,
+              stream: true,
+            }),
+          catch: mapOpenAICompatibleError,
+        }),
+      ).pipe(
+        Stream.flatMap((openAIStream) => {
+          const iterator = openAIStream[Symbol.asyncIterator]();
       let totalInputTokens = 0;
       let totalOutputTokens = 0;
 
-      for await (const chunk of stream) {
-        const content = chunk.choices[0]?.delta?.content;
-        if (content !== null && content !== undefined && content.length > 0) {
-          yield {
-            text: content,
-            inToken: null,
-            outToken: null,
-            model: modelName,
-            isFinal: false,
-          };
-        }
+          return Stream.unfold<"pulling" | "done", LlmChunk, TextCompletionRuntimeError, never>(
+            "pulling",
+            (state) => {
+              if (state === "done") return Effect.void as Effect.Effect<undefined>;
 
-        if (chunk.usage !== null && chunk.usage !== undefined) {
-          totalInputTokens = chunk.usage.prompt_tokens;
-          totalOutputTokens = chunk.usage.completion_tokens;
-        }
-      }
+              return Effect.gen(function* () {
+                while (true) {
+                  const next = yield* Effect.tryPromise({
+                    try: () => iterator.next(),
+                    catch: mapOpenAICompatibleError,
+                  });
 
-      yield {
-        text: "",
-        inToken: totalInputTokens,
-        outToken: totalOutputTokens,
-        model: modelName,
-        isFinal: true,
-      };
+                  if (next.done === true) {
+                    return [{
+                      text: "",
+                      inToken: totalInputTokens,
+                      outToken: totalOutputTokens,
+                      model: modelName,
+                      isFinal: true,
+                    }, "done"] as const;
+                  }
+
+                  const chunk = next.value;
+                  const content = chunk.choices[0]?.delta?.content;
+                  if (chunk.usage !== null && chunk.usage !== undefined) {
+                    totalInputTokens = chunk.usage.prompt_tokens;
+                    totalOutputTokens = chunk.usage.completion_tokens;
+                  }
+                  if (content !== null && content !== undefined && content.length > 0) {
+                    return [{
+                      text: content,
+                      inToken: null,
+                      outToken: null,
+                      model: modelName,
+                      isFinal: false,
+                    }, "pulling"] as const;
+                  }
+                }
+              });
+            },
+          );
+        }),
+      );
+
+      return toAsyncGenerator(Stream.toAsyncIterable(stream), mapOpenAICompatibleError);
     },
   };
 }
@@ -153,6 +220,6 @@ export const program = makeFlowProcessorProgram<ProcessorConfig, never, Llm>({
     ),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/model/text-completion/openai.ts

@@ -15,9 +15,15 @@ import {
   type ProcessorConfig,
   type LlmResult,
   type LlmChunk,
-  tooManyRequestsError,
 } from "@trustgraph/base";
-import { Effect, Layer } from "effect";
+import { Effect, Layer, Stream } from "effect";
+import {
+  optionalStringConfig,
+  providerStatusError,
+  requiredString,
+  toAsyncGenerator,
+  type TextCompletionRuntimeError,
+} from "./common.ts";
 
 export type OpenAIProcessorConfig = ProcessorConfig & {
   model?: string;
@@ -27,24 +33,52 @@ export type OpenAIProcessorConfig = ProcessorConfig & {
   maxOutput?: number;
 };
 
+type ResolvedOpenAIConfig = {
+  readonly defaultModel: string;
+  readonly defaultTemperature: number;
+  readonly maxOutput: number;
+  readonly apiKey: string;
+  readonly baseURL: string | undefined;
+};
+
+const loadOpenAIConfig = Effect.fn("loadOpenAIConfig")(function*(config: OpenAIProcessorConfig) {
+    const apiKey = yield* requiredString(
+      config.apiKey ?? (yield* optionalStringConfig("OpenAI", "OPENAI_TOKEN")),
+      "OpenAI",
+      "OPENAI_TOKEN",
+      "OpenAI API key not specified",
+    );
+
+    return {
+      defaultModel: config.model ?? "gpt-4o",
+      defaultTemperature: config.temperature ?? 0.0,
+      maxOutput: config.maxOutput ?? 4096,
+      apiKey,
+      baseURL: config.baseUrl ?? (yield* optionalStringConfig("OpenAI", "OPENAI_BASE_URL")),
+    } satisfies ResolvedOpenAIConfig;
+});
+
+const mapOpenAIError = (error: unknown): TextCompletionRuntimeError =>
+  providerStatusError("OpenAI", error);
+
 export function makeOpenAIProvider(config: OpenAIProcessorConfig): LlmProvider {
-  const defaultModel = config.model ?? "gpt-4o";
-  const defaultTemperature = config.temperature ?? 0.0;
-  const maxOutput = config.maxOutput ?? 4096;
-    const apiKey = config.apiKey ?? process.env.OPENAI_TOKEN;
-    if (apiKey === undefined || apiKey.length === 0) {
-      throw new Error("OpenAI API key not specified");
-    }
+  const {
+    defaultModel,
+    defaultTemperature,
+    maxOutput,
+    apiKey,
+    baseURL,
+  } = Effect.runSync(loadOpenAIConfig(config)) satisfies ResolvedOpenAIConfig;
 
   const client = new OpenAI({
-      apiKey,
-      baseURL: config.baseUrl ?? process.env.OPENAI_BASE_URL,
-    });
+    apiKey,
+    baseURL,
+  });
 
-    console.log("[OpenAI] LLM service initialized");
+  Effect.runSync(Effect.log("[OpenAI] LLM service initialized"));
 
   return {
-    generateContent: async (
+    generateContent: (
       system: string,
       prompt: string,
       model?: string,
@@ -53,94 +87,115 @@ export function makeOpenAIProvider(config: OpenAIProcessorConfig): LlmProvider {
       const modelName = model ?? defaultModel;
       const temp = temperature ?? defaultTemperature;
 
-      try {
-        const resp = await client.chat.completions.create({
-          model: modelName,
-          messages: [
-            { role: "system", content: system },
-            { role: "user", content: prompt },
-          ],
-          temperature: temp,
-          max_completion_tokens: maxOutput,
-        });
-
-        return {
-          text: resp.choices[0].message.content ?? "",
-          inToken: resp.usage?.prompt_tokens ?? 0,
-          outToken: resp.usage?.completion_tokens ?? 0,
-          model: modelName,
-        };
-      } catch (err) {
-        if (err instanceof OpenAI.RateLimitError) {
-          throw tooManyRequestsError();
-        }
-        throw err;
-      }
+      return Effect.runPromise(
+        Effect.tryPromise({
+          try: () =>
+            client.chat.completions.create({
+              model: modelName,
+              messages: [
+                { role: "system", content: system },
+                { role: "user", content: prompt },
+              ],
+              temperature: temp,
+              max_completion_tokens: maxOutput,
+            }),
+          catch: mapOpenAIError,
+        }).pipe(
+          Effect.map((resp): LlmResult => ({
+            text: resp.choices[0].message.content ?? "",
+            inToken: resp.usage?.prompt_tokens ?? 0,
+            outToken: resp.usage?.completion_tokens ?? 0,
+            model: modelName,
+          })),
+        ),
+      );
     },
     supportsStreaming: () => true,
-    generateContentStream: async function* (
+    generateContentStream: (
       system: string,
       prompt: string,
       model?: string,
       temperature?: number,
-    ): AsyncGenerator<LlmChunk> {
+    ): AsyncGenerator<LlmChunk> => {
       const modelName = model ?? defaultModel;
       const temp = temperature ?? defaultTemperature;
 
-      try {
-        const stream = await client.chat.completions.create({
-          model: modelName,
-          messages: [
-            { role: "system", content: system },
-            { role: "user", content: prompt },
-          ],
-          temperature: temp,
-          max_completion_tokens: maxOutput,
-          stream: true,
-          stream_options: { include_usage: true },
-        });
-
+      const stream = Stream.fromEffect(
+        Effect.tryPromise({
+          try: () =>
+            client.chat.completions.create({
+              model: modelName,
+              messages: [
+                { role: "system", content: system },
+                { role: "user", content: prompt },
+              ],
+              temperature: temp,
+              max_completion_tokens: maxOutput,
+              stream: true,
+              stream_options: { include_usage: true },
+            }),
+          catch: mapOpenAIError,
+        }),
+      ).pipe(
+        Stream.flatMap((openAIStream) => {
+          const iterator = openAIStream[Symbol.asyncIterator]();
         let totalInputTokens = 0;
         let totalOutputTokens = 0;
 
-        for await (const chunk of stream) {
-          const content = chunk.choices[0]?.delta?.content;
-          if (content !== null && content !== undefined && content.length > 0) {
-            yield {
-              text: content,
-              inToken: null,
-              outToken: null,
-              model: modelName,
-              isFinal: false,
-            };
-          }
+          return Stream.unfold<"pulling" | "done", LlmChunk, TextCompletionRuntimeError, never>(
+            "pulling",
+            (state) => {
+              if (state === "done") return Effect.void as Effect.Effect<undefined>;
 
-          if (chunk.usage !== null && chunk.usage !== undefined) {
-            totalInputTokens = chunk.usage.prompt_tokens;
-            totalOutputTokens = chunk.usage.completion_tokens;
-          }
-        }
+              return Effect.gen(function* () {
+                while (true) {
+                  const next = yield* Effect.tryPromise({
+                    try: () => iterator.next(),
+                    catch: mapOpenAIError,
+                  });
 
-        yield {
-          text: "",
-          inToken: totalInputTokens,
-          outToken: totalOutputTokens,
-          model: modelName,
-          isFinal: true,
-        };
-      } catch (err) {
-        if (err instanceof OpenAI.RateLimitError) {
-          throw tooManyRequestsError();
-        }
-        throw err;
-      }
+                  if (next.done === true) {
+                    return [{
+                      text: "",
+                      inToken: totalInputTokens,
+                      outToken: totalOutputTokens,
+                      model: modelName,
+                      isFinal: true,
+                    }, "done"] as const;
+                  }
+
+                  const chunk = next.value;
+                  const content = chunk.choices[0]?.delta?.content;
+                  if (chunk.usage !== null && chunk.usage !== undefined) {
+                    totalInputTokens = chunk.usage.prompt_tokens;
+                    totalOutputTokens = chunk.usage.completion_tokens;
+                  }
+                  if (content !== null && content !== undefined && content.length > 0) {
+                    return [{
+                      text: content,
+                      inToken: null,
+                      outToken: null,
+                      model: modelName,
+                      isFinal: false,
+                    }, "pulling"] as const;
+                  }
+                }
+              });
+            },
+          );
+        }),
+      );
+
+      return toAsyncGenerator(Stream.toAsyncIterable(stream), mapOpenAIError);
     },
   };
 }
 
 export type OpenAIProcessor = ReturnType<typeof makeOpenAIProcessor>;
 
-export function makeOpenAIProcessor(config: OpenAIProcessorConfig): ReturnType<typeof makeLlmService> {
+export function makeOpenAIProcessor(
+  config: OpenAIProcessorConfig,
+): ReturnType<typeof makeLlmService> {
   return makeLlmService(config, makeOpenAIProvider(config));
 }
 
@@ -156,6 +211,6 @@ export const program = makeFlowProcessorProgram<ProcessorConfig, never, Llm>({
     ),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/prompt/template.ts

@@ -167,7 +167,7 @@ export function makePromptTemplateService(config: PromptTemplateConfig): PromptT
       Effect.runPromise(handler(pushedConfig, version)),
     );
   }
-  console.log("[PromptTemplate] Service initialized");
+  Effect.runSync(Effect.log("[PromptTemplate] Service initialized"));
   return service;
 }
 
@@ -195,6 +195,6 @@ export const program = makeFlowProcessorProgram({
   configHandlers: (config: PromptTemplateConfig) => promptTemplateRuntime(config).configHandlers,
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/query/embeddings/qdrant-doc-service.ts

@@ -101,7 +101,7 @@ export function makeDocEmbeddingsQueryService(config: ProcessorConfig): DocEmbed
         ),
       ),
   });
-  console.log("[DocEmbeddingsQuery] Service initialized");
+  Effect.runSync(Effect.log("[DocEmbeddingsQuery] Service initialized"));
   return service;
 }
 
@@ -113,6 +113,6 @@ export const program = makeFlowProcessorProgram<ProcessorConfig & QdrantDocQuery
   layer: (config) => QdrantDocEmbeddingsQueryLive(config),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/query/embeddings/qdrant-doc.ts

@@ -9,7 +9,8 @@
 
 import { QdrantClient } from "@qdrant/js-client-rest";
 import { errorMessage } from "@trustgraph/base";
-import { Context, Effect, Layer } from "effect";
+import { Config, Context, Effect, Layer } from "effect";
+import * as O from "effect/Option";
 import * as S from "effect/Schema";
 
 export interface QdrantDocQueryConfig {
@@ -30,24 +31,58 @@ export interface DocEmbeddingsQueryRequest {
   limit: number;
 }
 
+export class QdrantDocEmbeddingsQueryError extends S.TaggedErrorClass<QdrantDocEmbeddingsQueryError>()(
+  "QdrantDocEmbeddingsQueryError",
+  {
+    message: S.String,
+    operation: S.String,
+    cause: S.DefectWithStack,
+  },
+) {}
+
+const qdrantDocEmbeddingsQueryError = (operation: string, cause: unknown) =>
+  QdrantDocEmbeddingsQueryError.make({
+    operation,
+    message: errorMessage(cause),
+    cause,
+  });
+
+interface ResolvedQdrantDocQueryConfig {
+  readonly url: string;
+  readonly apiKey?: string;
+}
+
+const loadQdrantDocQueryConfig = Effect.fn("QdrantDocEmbeddingsQuery.loadConfig")(function* (
+  config: QdrantDocQueryConfig,
+) {
+  const envApiKey = O.getOrUndefined(yield* Config.string("QDRANT_API_KEY").pipe(Config.option));
+  const apiKey = config.apiKey ?? envApiKey;
+  return {
+    url: config.url ?? (yield* Config.string("QDRANT_URL").pipe(Config.withDefault("http://localhost:6333"))),
+    ...(apiKey !== undefined && apiKey.length > 0 ? { apiKey } : {}),
+  } satisfies ResolvedQdrantDocQueryConfig;
+});
+
 export interface QdrantDocEmbeddingsQuery {
   readonly query: (request: DocEmbeddingsQueryRequest) => Promise<ChunkMatch[]>;
+  readonly queryEffect: (
+    request: DocEmbeddingsQueryRequest,
+  ) => Effect.Effect<ReadonlyArray<ChunkMatch>, QdrantDocEmbeddingsQueryError>;
 }
 
 export function makeQdrantDocEmbeddingsQuery(
   config: QdrantDocQueryConfig = {},
 ): QdrantDocEmbeddingsQuery {
-  const url = config.url ?? process.env.QDRANT_URL ?? "http://localhost:6333";
-  const apiKey = config.apiKey ?? process.env.QDRANT_API_KEY;
+  const resolved = Effect.runSync(loadQdrantDocQueryConfig(config));
 
   const client = new QdrantClient({
-    url,
-    ...(apiKey !== undefined && apiKey.length > 0 ? { apiKey } : {}),
+    url: resolved.url,
+    ...(resolved.apiKey !== undefined ? { apiKey: resolved.apiKey } : {}),
   });
 
-  console.log("[QdrantDocQuery] Query service initialized");
+  Effect.runSync(Effect.log("[QdrantDocQuery] Query service initialized"));
 
-  const query = async (request: DocEmbeddingsQueryRequest): Promise<ChunkMatch[]> => {
+  const queryEffect = Effect.fn("QdrantDocEmbeddingsQuery.query")(function* (request: DocEmbeddingsQueryRequest) {
     const { vector, user, collection, limit } = request;
 
     if (vector.length === 0) {
@@ -58,18 +93,25 @@ export function makeQdrantDocEmbeddingsQuery(
     const collectionName = `d_${user}_${collection}_${dim}`;
 
     // Check if collection exists -- return empty if not
-    const exists = await client.collectionExists(collectionName);
+    const exists = yield* Effect.tryPromise({
+      try: () => client.collectionExists(collectionName),
+      catch: (cause) => qdrantDocEmbeddingsQueryError("collection-exists", cause),
+    });
     if (!exists.exists) {
-      console.log(
+      yield* Effect.log(
         `[QdrantDocQuery] Collection ${collectionName} does not exist, returning empty results`,
       );
       return [];
     }
 
-    const searchResult = await client.search(collectionName, {
-      vector,
-      limit,
-      with_payload: true,
+    const searchResult = yield* Effect.tryPromise({
+      try: () =>
+        client.search(collectionName, {
+          vector,
+          limit,
+          with_payload: true,
+        }),
+      catch: (cause) => qdrantDocEmbeddingsQueryError("search", cause),
     });
 
     const chunks: ChunkMatch[] = [];
@@ -86,20 +128,14 @@ export function makeQdrantDocEmbeddingsQuery(
     }
 
     return chunks;
+  });
+
+  return {
+    query: (request) => Effect.runPromise(queryEffect(request)),
+    queryEffect,
   };
-
-  return { query };
 }
 
-export class QdrantDocEmbeddingsQueryError extends S.TaggedErrorClass<QdrantDocEmbeddingsQueryError>()(
-  "QdrantDocEmbeddingsQueryError",
-  {
-    message: S.String,
-    operation: S.String,
-    cause: S.DefectWithStack,
-  },
-) {}
-
 export interface QdrantDocEmbeddingsQueryServiceShape {
   readonly query: (
     request: DocEmbeddingsQueryRequest,
@@ -113,24 +149,12 @@ export class QdrantDocEmbeddingsQueryService extends Context.Service<
   "@trustgraph/flow/query/embeddings/qdrant-doc/QdrantDocEmbeddingsQueryService",
 ) {}
 
-const qdrantDocEmbeddingsQueryError = (operation: string, cause: unknown) =>
-  new QdrantDocEmbeddingsQueryError({
-    operation,
-    message: errorMessage(cause),
-    cause,
-  });
-
 export const makeQdrantDocEmbeddingsQueryService = (
   config: QdrantDocQueryConfig = {},
 ): QdrantDocEmbeddingsQueryServiceShape => {
   const query = makeQdrantDocEmbeddingsQuery(config);
   return {
-    query: Effect.fn("QdrantDocEmbeddingsQuery.query")(function* (request) {
-      return yield* Effect.tryPromise({
-        try: () => query.query(request),
-        catch: (cause) => qdrantDocEmbeddingsQueryError("query", cause),
-      });
-    }),
+    query: query.queryEffect,
   };
 };
 

ts/packages/flow/src/query/embeddings/qdrant-graph-service.ts

@@ -102,7 +102,7 @@ export function makeGraphEmbeddingsQueryService(config: ProcessorConfig): GraphE
         ),
       ),
   });
-  console.log("[GraphEmbeddingsQuery] Service initialized");
+  Effect.runSync(Effect.log("[GraphEmbeddingsQuery] Service initialized"));
   return service;
 }
 
@@ -114,6 +114,6 @@ export const program = makeFlowProcessorProgram<ProcessorConfig & QdrantGraphQue
   layer: (config) => QdrantGraphEmbeddingsQueryLive(config),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/query/embeddings/qdrant-graph.ts

@@ -12,7 +12,8 @@
 
 import { QdrantClient } from "@qdrant/js-client-rest";
 import { errorMessage, type Term } from "@trustgraph/base";
-import { Context, Effect, Layer } from "effect";
+import { Config, Context, Effect, Layer } from "effect";
+import * as O from "effect/Option";
 import * as S from "effect/Schema";
 
 export interface QdrantGraphQueryConfig {
@@ -32,6 +33,38 @@ export interface GraphEmbeddingsQueryRequest {
   limit: number;
 }
 
+export class QdrantGraphEmbeddingsQueryError extends S.TaggedErrorClass<QdrantGraphEmbeddingsQueryError>()(
+  "QdrantGraphEmbeddingsQueryError",
+  {
+    message: S.String,
+    operation: S.String,
+    cause: S.DefectWithStack,
+  },
+) {}
+
+const qdrantGraphEmbeddingsQueryError = (operation: string, cause: unknown) =>
+  QdrantGraphEmbeddingsQueryError.make({
+    operation,
+    message: errorMessage(cause),
+    cause,
+  });
+
+interface ResolvedQdrantGraphQueryConfig {
+  readonly url: string;
+  readonly apiKey?: string;
+}
+
+const loadQdrantGraphQueryConfig = Effect.fn("QdrantGraphEmbeddingsQuery.loadConfig")(function* (
+  config: QdrantGraphQueryConfig,
+) {
+  const envApiKey = O.getOrUndefined(yield* Config.string("QDRANT_API_KEY").pipe(Config.option));
+  const apiKey = config.apiKey ?? envApiKey;
+  return {
+    url: config.url ?? (yield* Config.string("QDRANT_URL").pipe(Config.withDefault("http://localhost:6333"))),
+    ...(apiKey !== undefined && apiKey.length > 0 ? { apiKey } : {}),
+  } satisfies ResolvedQdrantGraphQueryConfig;
+});
+
 function createTerm(value: string): Term {
   if (value.startsWith("http://") || value.startsWith("https://")) {
     return { type: "IRI", iri: value };
@@ -41,22 +74,26 @@ function createTerm(value: string): Term {
 
 export interface QdrantGraphEmbeddingsQuery {
   readonly query: (request: GraphEmbeddingsQueryRequest) => Promise<EntityMatch[]>;
+  readonly queryEffect: (
+    request: GraphEmbeddingsQueryRequest,
+  ) => Effect.Effect<ReadonlyArray<EntityMatch>, QdrantGraphEmbeddingsQueryError>;
 }
 
 export function makeQdrantGraphEmbeddingsQuery(
   config: QdrantGraphQueryConfig = {},
 ): QdrantGraphEmbeddingsQuery {
-  const url = config.url ?? process.env.QDRANT_URL ?? "http://localhost:6333";
-  const apiKey = config.apiKey ?? process.env.QDRANT_API_KEY;
+  const resolved = Effect.runSync(loadQdrantGraphQueryConfig(config));
 
   const client = new QdrantClient({
-    url,
-    ...(apiKey !== undefined && apiKey.length > 0 ? { apiKey } : {}),
+    url: resolved.url,
+    ...(resolved.apiKey !== undefined ? { apiKey: resolved.apiKey } : {}),
   });
 
-  console.log("[QdrantGraphQuery] Query service initialized");
+  Effect.runSync(Effect.log("[QdrantGraphQuery] Query service initialized"));
 
-  const query = async (request: GraphEmbeddingsQueryRequest): Promise<EntityMatch[]> => {
+  const queryEffect = Effect.fn("QdrantGraphEmbeddingsQuery.query")(function* (
+    request: GraphEmbeddingsQueryRequest,
+  ) {
     const { vector, user, collection, limit } = request;
 
     if (vector.length === 0) {
@@ -67,9 +104,12 @@ export function makeQdrantGraphEmbeddingsQuery(
     const collectionName = `t_${user}_${collection}_${dim}`;
 
     // Check if collection exists -- return empty if not
-    const exists = await client.collectionExists(collectionName);
+    const exists = yield* Effect.tryPromise({
+      try: () => client.collectionExists(collectionName),
+      catch: (cause) => qdrantGraphEmbeddingsQueryError("collection-exists", cause),
+    });
     if (!exists.exists) {
-      console.log(
+      yield* Effect.log(
         `[QdrantGraphQuery] Collection ${collectionName} does not exist, returning empty results`,
       );
       return [];
@@ -77,10 +117,14 @@ export function makeQdrantGraphEmbeddingsQuery(
 
     // Query 2x the limit so we have a better chance of getting `limit`
     // unique entities after deduplication (same heuristic as Python impl)
-    const searchResult = await client.search(collectionName, {
-      vector,
-      limit: limit * 2,
-      with_payload: true,
+    const searchResult = yield* Effect.tryPromise({
+      try: () =>
+        client.search(collectionName, {
+          vector,
+          limit: limit * 2,
+          with_payload: true,
+        }),
+      catch: (cause) => qdrantGraphEmbeddingsQueryError("search", cause),
     });
 
     const entitySet = new Set<string>();
@@ -106,20 +150,14 @@ export function makeQdrantGraphEmbeddingsQuery(
     }
 
     return entities;
+  });
+
+  return {
+    query: (request) => Effect.runPromise(queryEffect(request)),
+    queryEffect,
   };
-
-  return { query };
 }
 
-export class QdrantGraphEmbeddingsQueryError extends S.TaggedErrorClass<QdrantGraphEmbeddingsQueryError>()(
-  "QdrantGraphEmbeddingsQueryError",
-  {
-    message: S.String,
-    operation: S.String,
-    cause: S.DefectWithStack,
-  },
-) {}
-
 export interface QdrantGraphEmbeddingsQueryServiceShape {
   readonly query: (
     request: GraphEmbeddingsQueryRequest,
@@ -133,24 +171,12 @@ export class QdrantGraphEmbeddingsQueryService extends Context.Service<
   "@trustgraph/flow/query/embeddings/qdrant-graph/QdrantGraphEmbeddingsQueryService",
 ) {}
 
-const qdrantGraphEmbeddingsQueryError = (operation: string, cause: unknown) =>
-  new QdrantGraphEmbeddingsQueryError({
-    operation,
-    message: errorMessage(cause),
-    cause,
-  });
-
 export const makeQdrantGraphEmbeddingsQueryService = (
   config: QdrantGraphQueryConfig = {},
 ): QdrantGraphEmbeddingsQueryServiceShape => {
   const query = makeQdrantGraphEmbeddingsQuery(config);
   return {
-    query: Effect.fn("QdrantGraphEmbeddingsQuery.query")(function* (request) {
-      return yield* Effect.tryPromise({
-        try: () => query.query(request),
-        catch: (cause) => qdrantGraphEmbeddingsQueryError("query", cause),
-      });
-    }),
+    query: query.queryEffect,
   };
 };
 

ts/packages/flow/src/query/triples/falkordb-service.ts

@@ -88,7 +88,7 @@ export function makeTriplesQueryService(config: ProcessorConfig): TriplesQuerySe
         ),
       ),
   });
-  console.log("[TriplesQuery] Service initialized");
+  void Effect.runPromise(Effect.log("[TriplesQuery] Service initialized"));
   return service;
 }
 
@@ -100,6 +100,6 @@ export const program = makeFlowProcessorProgram<ProcessorConfig & FalkorDBQueryC
   layer: (config) => FalkorDBTriplesQueryLive(config),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/query/triples/falkordb.ts

@@ -1,5 +1,5 @@
 /**
- * FalkorDB triples query service — queries RDF triples from FalkorDB.
+ * FalkorDB triples query service - queries RDF triples from FalkorDB.
  *
  * Implements all SPO query patterns (S, P, O, SP, SO, PO, SPO, *).
  *
@@ -8,7 +8,7 @@
 
 import { createClient, Graph } from "falkordb";
 import { errorMessage, type Term, type Triple } from "@trustgraph/base";
-import { Context, Effect, Layer } from "effect";
+import { Config, Context, Effect, Layer } from "effect";
 import * as S from "effect/Schema";
 
 export interface FalkorDBQueryConfig {
@@ -19,10 +19,14 @@ export interface FalkorDBQueryConfig {
 function termToValue(term: Term | undefined): string | null {
   if (term === undefined) return null;
   switch (term.type) {
-    case "IRI": return term.iri;
-    case "LITERAL": return term.value;
-    case "BLANK": return term.id;
-    default: return null;
+    case "IRI":
+      return term.iri;
+    case "LITERAL":
+      return term.value;
+    case "BLANK":
+      return term.id;
+    default:
+      return null;
   }
 }
 
@@ -36,7 +40,6 @@ function createTerm(value: string): Term {
   return { type: "LITERAL", value };
 }
 
-/** Extract a string field from a FalkorDB result row (returns object with named keys). */
 function field(row: unknown, key: string): string {
   return (row as Record<string, unknown>)?.[key] as string ?? "";
 }
@@ -50,231 +53,6 @@ export interface FalkorDBTriplesQuery {
   ) => Promise<Triple[]>;
 }
 
-export function makeFalkorDBTriplesQuery(
-  config: FalkorDBQueryConfig = {},
-): FalkorDBTriplesQuery {
-  const url = config.url ?? process.env.FALKORDB_URL ?? "redis://localhost:6379";
-  const database = config.database ?? "falkordb";
-
-  const client = createClient({ url });
-  const graph = new Graph(client, database);
-  const connectPromise = client.connect().then(() => {
-    console.log(`[FalkorDBTriplesQuery] Connected to ${url}, graph: ${database}`);
-  }).catch((err) => {
-    console.error(`[FalkorDBTriplesQuery] Connection failed:`, err);
-    throw err;
-  });
-
-  const ensureConnected = async (): Promise<void> => {
-    await connectPromise;
-  };
-
-  const matchPattern = async (
-    out: [string, string, string][],
-    sv: string, pv: string, ov: string, limit: number,
-  ): Promise<void> => {
-    for (const destType of ["Literal", "Node"] as const) {
-      const destKey = destType === "Literal" ? "value" : "uri";
-      const result = await graph.query(
-        `MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:${destType} {${destKey}: $dest}) ` +
-        `RETURN src.uri LIMIT ${limit}`,
-        { params: { src: sv, rel: pv, dest: ov } },
-      );
-      for (const _rec of (result.data ?? [])) {
-        out.push([sv, pv, ov]);
-      }
-    }
-  };
-
-  const matchSP = async (
-    out: [string, string, string][],
-    sv: string, pv: string, limit: number,
-  ): Promise<void> => {
-    // Literals
-    const litResult = await graph.query(
-      `MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Literal) ` +
-      `RETURN dest.value as dest LIMIT ${limit}`,
-      { params: { src: sv, rel: pv } },
-    );
-    for (const rec of (litResult.data ?? [])) {
-      out.push([sv, pv, field(rec, "dest")]);
-    }
-    // Nodes
-    const nodeResult = await graph.query(
-      `MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Node) ` +
-      `RETURN dest.uri as dest LIMIT ${limit}`,
-      { params: { src: sv, rel: pv } },
-    );
-    for (const rec of (nodeResult.data ?? [])) {
-      out.push([sv, pv, field(rec, "dest")]);
-    }
-  };
-
-  const matchSO = async (
-    out: [string, string, string][],
-    sv: string, ov: string, limit: number,
-  ): Promise<void> => {
-    for (const [destType, destKey] of [["Literal", "value"], ["Node", "uri"]] as const) {
-      const result = await graph.query(
-        `MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:${destType} {${destKey}: $dest}) ` +
-        `RETURN rel.uri as rel LIMIT ${limit}`,
-        { params: { src: sv, dest: ov } },
-      );
-      for (const rec of (result.data ?? [])) {
-        out.push([sv, field(rec, "rel"), ov]);
-      }
-    }
-  };
-
-  const matchPO = async (
-    out: [string, string, string][],
-    pv: string, ov: string, limit: number,
-  ): Promise<void> => {
-    for (const [destType, destKey] of [["Literal", "value"], ["Node", "uri"]] as const) {
-      const result = await graph.query(
-        `MATCH (src:Node)-[rel:Rel {uri: $rel}]->(dest:${destType} {${destKey}: $dest}) ` +
-        `RETURN src.uri as src LIMIT ${limit}`,
-        { params: { rel: pv, dest: ov } },
-      );
-      for (const rec of (result.data ?? [])) {
-        out.push([field(rec, "src"), pv, ov]);
-      }
-    }
-  };
-
-  const matchS = async (
-    out: [string, string, string][],
-    sv: string, limit: number,
-  ): Promise<void> => {
-    const litResult = await graph.query(
-      `MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Literal) ` +
-      `RETURN rel.uri as rel, dest.value as dest LIMIT ${limit}`,
-      { params: { src: sv } },
-    );
-    for (const rec of (litResult.data ?? [])) {
-      out.push([sv, field(rec, "rel"), field(rec, "dest")]);
-    }
-    const nodeResult = await graph.query(
-      `MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Node) ` +
-      `RETURN rel.uri as rel, dest.uri as dest LIMIT ${limit}`,
-      { params: { src: sv } },
-    );
-    for (const rec of (nodeResult.data ?? [])) {
-      out.push([sv, field(rec, "rel"), field(rec, "dest")]);
-    }
-  };
-
-  const matchP = async (
-    out: [string, string, string][],
-    pv: string, limit: number,
-  ): Promise<void> => {
-    const litResult = await graph.query(
-      `MATCH (src:Node)-[rel:Rel {uri: $rel}]->(dest:Literal) ` +
-      `RETURN src.uri as src, dest.value as dest LIMIT ${limit}`,
-      { params: { rel: pv } },
-    );
-    for (const rec of (litResult.data ?? [])) {
-      out.push([field(rec, "src"), pv, field(rec, "dest")]);
-    }
-    const nodeResult = await graph.query(
-      `MATCH (src:Node)-[rel:Rel {uri: $rel}]->(dest:Node) ` +
-      `RETURN src.uri as src, dest.uri as dest LIMIT ${limit}`,
-      { params: { rel: pv } },
-    );
-    for (const rec of (nodeResult.data ?? [])) {
-      out.push([field(rec, "src"), pv, field(rec, "dest")]);
-    }
-  };
-
-  const matchO = async (
-    out: [string, string, string][],
-    ov: string, limit: number,
-  ): Promise<void> => {
-    for (const [destType, destKey] of [["Literal", "value"], ["Node", "uri"]] as const) {
-      const result = await graph.query(
-        `MATCH (src:Node)-[rel:Rel]->(dest:${destType} {${destKey}: $dest}) ` +
-        `RETURN src.uri as src, rel.uri as rel LIMIT ${limit}`,
-        { params: { dest: ov } },
-      );
-      for (const rec of (result.data ?? [])) {
-        out.push([field(rec, "src"), field(rec, "rel"), ov]);
-      }
-    }
-  };
-
-  const matchAll = async (
-    out: [string, string, string][],
-    limit: number,
-  ): Promise<void> => {
-    const litResult = await graph.query(
-      `MATCH (src:Node)-[rel:Rel]->(dest:Literal) ` +
-      `RETURN src.uri as src, rel.uri as rel, dest.value as dest LIMIT ${limit}`,
-    );
-    for (const rec of (litResult.data ?? [])) {
-      out.push([field(rec, "src"), field(rec, "rel"), field(rec, "dest")]);
-    }
-    const nodeResult = await graph.query(
-      `MATCH (src:Node)-[rel:Rel]->(dest:Node) ` +
-      `RETURN src.uri as src, rel.uri as rel, dest.uri as dest LIMIT ${limit}`,
-    );
-    for (const rec of (nodeResult.data ?? [])) {
-      out.push([field(rec, "src"), field(rec, "rel"), field(rec, "dest")]);
-    }
-  };
-
-  const queryTriples = async (
-    s?: Term,
-    p?: Term,
-    o?: Term,
-    limit = 100,
-  ): Promise<Triple[]> => {
-    await ensureConnected();
-    const sv = termToValue(s);
-    const pv = termToValue(p);
-    const ov = termToValue(o);
-
-    const rawTriples: [string, string, string][] = [];
-
-    // Query both Node and Literal targets for each pattern
-    if (sv !== null && pv !== null && ov !== null) {
-      // SPO — exact match
-      await matchPattern(rawTriples, sv, pv, ov, limit);
-    } else if (sv !== null && pv !== null) {
-      // SP — known subject + predicate
-      await matchSP(rawTriples, sv, pv, limit);
-    } else if (sv !== null && ov !== null) {
-      // SO — known subject + object
-      await matchSO(rawTriples, sv, ov, limit);
-    } else if (pv !== null && ov !== null) {
-      // PO — known predicate + object
-      await matchPO(rawTriples, pv, ov, limit);
-    } else if (sv !== null) {
-      // S only
-      await matchS(rawTriples, sv, limit);
-    } else if (pv !== null) {
-      // P only
-      await matchP(rawTriples, pv, limit);
-    } else if (ov !== null) {
-      // O only
-      await matchO(rawTriples, ov, limit);
-    } else {
-      // Wildcard — all triples
-      await matchAll(rawTriples, limit);
-    }
-
-    return rawTriples
-      .filter(([s, p, o]) => s !== null && p !== null && o !== null)
-      .slice(0, limit)
-      .map(([s, p, o]) => ({
-        s: createTerm(s),
-        p: createTerm(p),
-        o: createTerm(o),
-      }));
-  };
-
-  return { queryTriples };
-}
-
 export class FalkorDBTriplesQueryError extends S.TaggedErrorClass<FalkorDBTriplesQueryError>()(
   "FalkorDBTriplesQueryError",
   {
@@ -300,31 +78,358 @@ export class FalkorDBTriplesQueryService extends Context.Service<
   "@trustgraph/flow/query/triples/falkordb/FalkorDBTriplesQueryService",
 ) {}
 
-const falkorDBTriplesQueryError = (operation: string, cause: unknown) =>
-  new FalkorDBTriplesQueryError({
+const falkorDBTriplesQueryError = (operation: string, cause: unknown): FalkorDBTriplesQueryError =>
+  FalkorDBTriplesQueryError.make({
     operation,
     message: errorMessage(cause),
     cause,
   });
 
-export const makeFalkorDBTriplesQueryService = (
+interface FalkorDBQueryConnection {
+  readonly graph: Graph;
+}
+
+type FalkorDBQueryOptions = Parameters<Graph["query"]>[1];
+
+const resolveFalkorDBQueryConfig = Effect.fn("FalkorDBTriplesQuery.resolveConfig")(function* (
+  config: FalkorDBQueryConfig,
+) {
+  const url = config.url ?? (yield* Config.string("FALKORDB_URL").pipe(
+    Config.withDefault("redis://localhost:6379"),
+    Effect.mapError((cause) => falkorDBTriplesQueryError("config", cause)),
+  ));
+  return {
+    url,
+    database: config.database ?? "falkordb",
+  };
+});
+
+const connectFalkorDBTriplesQuery = (
+  config: FalkorDBQueryConfig,
+): Effect.Effect<FalkorDBQueryConnection, FalkorDBTriplesQueryError> =>
+  Effect.gen(function* () {
+    const { url, database } = yield* resolveFalkorDBQueryConfig(config);
+    const { client, graph } = yield* Effect.try({
+      try: () => {
+        const client = createClient({ url });
+        return { client, graph: new Graph(client, database) };
+      },
+      catch: (cause) => falkorDBTriplesQueryError("create-client", cause),
+    });
+
+    yield* Effect.tryPromise({
+      try: () => client.connect(),
+      catch: (cause) => falkorDBTriplesQueryError("connect", cause),
+    }).pipe(
+      Effect.tapError((error) =>
+        Effect.logError("[FalkorDBTriplesQuery] Connection failed", {
+          error: error.message,
+          operation: error.operation,
+        })
+      ),
+    );
+
+    yield* Effect.log(`[FalkorDBTriplesQuery] Connected to ${url}, graph: ${database}`);
+    return { graph };
+  });
+
+const queryRows = (
+  graph: Graph,
+  operation: string,
+  query: string,
+  options?: FalkorDBQueryOptions,
+): Effect.Effect<ReadonlyArray<unknown>, FalkorDBTriplesQueryError> =>
+  Effect.tryPromise({
+    try: () => graph.query<unknown>(query, options),
+    catch: (cause) => falkorDBTriplesQueryError(operation, cause),
+  }).pipe(
+    Effect.map((result) => result.data ?? []),
+  );
+
+const matchPattern = (
+  graph: Graph,
+  out: [string, string, string][],
+  sv: string,
+  pv: string,
+  ov: string,
+  limit: number,
+): Effect.Effect<void, FalkorDBTriplesQueryError> =>
+  Effect.gen(function* () {
+    for (const destType of ["Literal", "Node"] as const) {
+      const destKey = destType === "Literal" ? "value" : "uri";
+      const rows = yield* queryRows(
+        graph,
+        "match-spo",
+        `MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:${destType} {${destKey}: $dest}) ` +
+          `RETURN src.uri LIMIT ${limit}`,
+        { params: { src: sv, rel: pv, dest: ov } },
+      );
+      for (const _rec of rows) {
+        out.push([sv, pv, ov]);
+      }
+    }
+  });
+
+const matchSP = (
+  graph: Graph,
+  out: [string, string, string][],
+  sv: string,
+  pv: string,
+  limit: number,
+): Effect.Effect<void, FalkorDBTriplesQueryError> =>
+  Effect.gen(function* () {
+    const litRows = yield* queryRows(
+      graph,
+      "match-sp-literal",
+      `MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Literal) ` +
+        `RETURN dest.value as dest LIMIT ${limit}`,
+      { params: { src: sv, rel: pv } },
+    );
+    for (const rec of litRows) {
+      out.push([sv, pv, field(rec, "dest")]);
+    }
+
+    const nodeRows = yield* queryRows(
+      graph,
+      "match-sp-node",
+      `MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Node) ` +
+        `RETURN dest.uri as dest LIMIT ${limit}`,
+      { params: { src: sv, rel: pv } },
+    );
+    for (const rec of nodeRows) {
+      out.push([sv, pv, field(rec, "dest")]);
+    }
+  });
+
+const matchSO = (
+  graph: Graph,
+  out: [string, string, string][],
+  sv: string,
+  ov: string,
+  limit: number,
+): Effect.Effect<void, FalkorDBTriplesQueryError> =>
+  Effect.gen(function* () {
+    for (const [destType, destKey] of [["Literal", "value"], ["Node", "uri"]] as const) {
+      const rows = yield* queryRows(
+        graph,
+        "match-so",
+        `MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:${destType} {${destKey}: $dest}) ` +
+          `RETURN rel.uri as rel LIMIT ${limit}`,
+        { params: { src: sv, dest: ov } },
+      );
+      for (const rec of rows) {
+        out.push([sv, field(rec, "rel"), ov]);
+      }
+    }
+  });
+
+const matchPO = (
+  graph: Graph,
+  out: [string, string, string][],
+  pv: string,
+  ov: string,
+  limit: number,
+): Effect.Effect<void, FalkorDBTriplesQueryError> =>
+  Effect.gen(function* () {
+    for (const [destType, destKey] of [["Literal", "value"], ["Node", "uri"]] as const) {
+      const rows = yield* queryRows(
+        graph,
+        "match-po",
+        `MATCH (src:Node)-[rel:Rel {uri: $rel}]->(dest:${destType} {${destKey}: $dest}) ` +
+          `RETURN src.uri as src LIMIT ${limit}`,
+        { params: { rel: pv, dest: ov } },
+      );
+      for (const rec of rows) {
+        out.push([field(rec, "src"), pv, ov]);
+      }
+    }
+  });
+
+const matchS = (
+  graph: Graph,
+  out: [string, string, string][],
+  sv: string,
+  limit: number,
+): Effect.Effect<void, FalkorDBTriplesQueryError> =>
+  Effect.gen(function* () {
+    const litRows = yield* queryRows(
+      graph,
+      "match-s-literal",
+      `MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Literal) ` +
+        `RETURN rel.uri as rel, dest.value as dest LIMIT ${limit}`,
+      { params: { src: sv } },
+    );
+    for (const rec of litRows) {
+      out.push([sv, field(rec, "rel"), field(rec, "dest")]);
+    }
+
+    const nodeRows = yield* queryRows(
+      graph,
+      "match-s-node",
+      `MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Node) ` +
+        `RETURN rel.uri as rel, dest.uri as dest LIMIT ${limit}`,
+      { params: { src: sv } },
+    );
+    for (const rec of nodeRows) {
+      out.push([sv, field(rec, "rel"), field(rec, "dest")]);
+    }
+  });
+
+const matchP = (
+  graph: Graph,
+  out: [string, string, string][],
+  pv: string,
+  limit: number,
+): Effect.Effect<void, FalkorDBTriplesQueryError> =>
+  Effect.gen(function* () {
+    const litRows = yield* queryRows(
+      graph,
+      "match-p-literal",
+      `MATCH (src:Node)-[rel:Rel {uri: $rel}]->(dest:Literal) ` +
+        `RETURN src.uri as src, dest.value as dest LIMIT ${limit}`,
+      { params: { rel: pv } },
+    );
+    for (const rec of litRows) {
+      out.push([field(rec, "src"), pv, field(rec, "dest")]);
+    }
+
+    const nodeRows = yield* queryRows(
+      graph,
+      "match-p-node",
+      `MATCH (src:Node)-[rel:Rel {uri: $rel}]->(dest:Node) ` +
+        `RETURN src.uri as src, dest.uri as dest LIMIT ${limit}`,
+      { params: { rel: pv } },
+    );
+    for (const rec of nodeRows) {
+      out.push([field(rec, "src"), pv, field(rec, "dest")]);
+    }
+  });
+
+const matchO = (
+  graph: Graph,
+  out: [string, string, string][],
+  ov: string,
+  limit: number,
+): Effect.Effect<void, FalkorDBTriplesQueryError> =>
+  Effect.gen(function* () {
+    for (const [destType, destKey] of [["Literal", "value"], ["Node", "uri"]] as const) {
+      const rows = yield* queryRows(
+        graph,
+        "match-o",
+        `MATCH (src:Node)-[rel:Rel]->(dest:${destType} {${destKey}: $dest}) ` +
+          `RETURN src.uri as src, rel.uri as rel LIMIT ${limit}`,
+        { params: { dest: ov } },
+      );
+      for (const rec of rows) {
+        out.push([field(rec, "src"), field(rec, "rel"), ov]);
+      }
+    }
+  });
+
+const matchAll = (
+  graph: Graph,
+  out: [string, string, string][],
+  limit: number,
+): Effect.Effect<void, FalkorDBTriplesQueryError> =>
+  Effect.gen(function* () {
+    const litRows = yield* queryRows(
+      graph,
+      "match-all-literal",
+      `MATCH (src:Node)-[rel:Rel]->(dest:Literal) ` +
+        `RETURN src.uri as src, rel.uri as rel, dest.value as dest LIMIT ${limit}`,
+    );
+    for (const rec of litRows) {
+      out.push([field(rec, "src"), field(rec, "rel"), field(rec, "dest")]);
+    }
+
+    const nodeRows = yield* queryRows(
+      graph,
+      "match-all-node",
+      `MATCH (src:Node)-[rel:Rel]->(dest:Node) ` +
+        `RETURN src.uri as src, rel.uri as rel, dest.uri as dest LIMIT ${limit}`,
+    );
+    for (const rec of nodeRows) {
+      out.push([field(rec, "src"), field(rec, "rel"), field(rec, "dest")]);
+    }
+  });
+
+const queryTriplesEffect = (
+  getConnection: () => Effect.Effect<FalkorDBQueryConnection, FalkorDBTriplesQueryError>,
+  s: Term | undefined,
+  p: Term | undefined,
+  o: Term | undefined,
+  limit: number,
+): Effect.Effect<ReadonlyArray<Triple>, FalkorDBTriplesQueryError> =>
+  Effect.gen(function* () {
+    const { graph } = yield* getConnection();
+    const sv = termToValue(s);
+    const pv = termToValue(p);
+    const ov = termToValue(o);
+    const rawTriples: [string, string, string][] = [];
+
+    if (sv !== null && pv !== null && ov !== null) {
+      yield* matchPattern(graph, rawTriples, sv, pv, ov, limit);
+    } else if (sv !== null && pv !== null) {
+      yield* matchSP(graph, rawTriples, sv, pv, limit);
+    } else if (sv !== null && ov !== null) {
+      yield* matchSO(graph, rawTriples, sv, ov, limit);
+    } else if (pv !== null && ov !== null) {
+      yield* matchPO(graph, rawTriples, pv, ov, limit);
+    } else if (sv !== null) {
+      yield* matchS(graph, rawTriples, sv, limit);
+    } else if (pv !== null) {
+      yield* matchP(graph, rawTriples, pv, limit);
+    } else if (ov !== null) {
+      yield* matchO(graph, rawTriples, ov, limit);
+    } else {
+      yield* matchAll(graph, rawTriples, limit);
+    }
+
+    return rawTriples
+      .slice(0, limit)
+      .map(([subject, predicate, object]) => ({
+        s: createTerm(subject),
+        p: createTerm(predicate),
+        o: createTerm(object),
+      }));
+  });
+
+const makeFalkorDBTriplesQueryEffect = (
   config: FalkorDBQueryConfig = {},
 ): FalkorDBTriplesQueryServiceShape => {
-  const query = makeFalkorDBTriplesQuery(config);
+  let cachedConnection: Effect.Effect<FalkorDBQueryConnection, FalkorDBTriplesQueryError> | undefined;
+
+  const getConnection = Effect.fn("FalkorDBTriplesQuery.connection")(function* () {
+    if (cachedConnection === undefined) {
+      cachedConnection = yield* Effect.cached(connectFalkorDBTriplesQuery(config));
+    }
+    return yield* cachedConnection;
+  });
+
   return {
     queryTriples: Effect.fn("FalkorDBTriplesQuery.queryTriples")((
       s: Term | undefined,
       p: Term | undefined,
       o: Term | undefined,
       limit: number,
-    ) =>
-      Effect.tryPromise({
-        try: () => query.queryTriples(s, p, o, limit),
-        catch: (cause) => falkorDBTriplesQueryError("query-triples", cause),
-      })),
+    ) => queryTriplesEffect(getConnection, s, p, o, limit)),
   };
 };
 
+export function makeFalkorDBTriplesQuery(
+  config: FalkorDBQueryConfig = {},
+): FalkorDBTriplesQuery {
+  const query = makeFalkorDBTriplesQueryEffect(config);
+  return {
+    queryTriples: (s, p, o, limit = 100) =>
+      Effect.runPromise(query.queryTriples(s, p, o, limit)).then((triples) => Array.from(triples)),
+  };
+}
+
+export const makeFalkorDBTriplesQueryService = (
+  config: FalkorDBQueryConfig = {},
+): FalkorDBTriplesQueryServiceShape => makeFalkorDBTriplesQueryEffect(config);
+
 export const FalkorDBTriplesQueryLive = (
   config: FalkorDBQueryConfig = {},
 ): Layer.Layer<FalkorDBTriplesQueryService> =>

ts/packages/flow/src/retrieval/document-rag-service.ts

@@ -161,6 +161,6 @@ export const program = makeFlowProcessorProgram({
   layer: () => DocumentRagLive,
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/retrieval/document-rag.ts

@@ -56,7 +56,7 @@ export class DocumentRagEngine extends Context.Service<DocumentRagEngine, Docume
 ) {}
 
 const documentRagError = (operation: string, cause: unknown) =>
-  new DocumentRagEngineError({
+  DocumentRagEngineError.make({
     operation,
     cause,
     message: errorMessage(cause),
@@ -68,11 +68,7 @@ export function makeDocumentRagEngine(): DocumentRagEngineShape {
       clients: DocumentRagClients,
       queryText: string,
       options?: DocumentRagQueryOptions,
-    ) =>
-      Effect.tryPromise({
-        try: () => queryDocumentRag(clients, queryText, options),
-        catch: (cause) => documentRagError("query", cause),
-      }),
+    ) => queryDocumentRag(clients, queryText, options),
     ),
   };
 }
@@ -97,40 +93,54 @@ export function makeDocumentRag(clients: DocumentRagClients): DocumentRag {
   };
 }
 
-async function queryDocumentRag(
+function queryDocumentRag(
   clients: DocumentRagClients,
   queryText: string,
   options?: DocumentRagQueryOptions,
-): Promise<string> {
-  const collection = options?.collection ?? "default";
+): Effect.Effect<string, DocumentRagEngineError> {
+  return Effect.gen(function* () {
+    const collection = options?.collection ?? "default";
 
-  const embResp = await clients.embeddings.request({ text: [queryText] });
-  const vectors = embResp.vectors;
+    const embResp = yield* Effect.tryPromise({
+      try: () => clients.embeddings.request({ text: [queryText] }),
+      catch: (cause) => documentRagError("embeddings", cause),
+    });
+    const vectors = embResp.vectors;
 
-  const docResp = await clients.docEmbeddings.request({
-    vectors,
-    limit: 10,
-    collection,
-    user: "default",
+    const docResp = yield* Effect.tryPromise({
+      try: () => clients.docEmbeddings.request({
+        vectors,
+        limit: 10,
+        collection,
+        user: "default",
+      }),
+      catch: (cause) => documentRagError("document-embeddings", cause),
+    });
+    const chunks = docResp.chunks ?? [];
+    yield* Effect.log(`[DocumentRag] Found ${chunks.length} matching chunks`);
+
+    const context = chunks
+      .flatMap((chunk) =>
+        chunk.content !== undefined && chunk.content.length > 0 ? [chunk.content] : [],
+      )
+      .join("\n\n---\n\n");
+
+    const promptResp = yield* Effect.tryPromise({
+      try: () => clients.prompt.request({
+        name: "document-rag-synthesize",
+        variables: { query: queryText, context },
+      }),
+      catch: (cause) => documentRagError("prompt", cause),
+    });
+
+    const resp = yield* Effect.tryPromise({
+      try: () => clients.llm.request({
+        system: promptResp.system,
+        prompt: promptResp.prompt,
+      }),
+      catch: (cause) => documentRagError("llm", cause),
+    });
+
+    return resp.response;
   });
-  const chunks = docResp.chunks ?? [];
-  console.log(`[DocumentRag] Found ${chunks.length} matching chunks`);
-
-  const context = chunks
-    .flatMap((chunk) =>
-      chunk.content !== undefined && chunk.content.length > 0 ? [chunk.content] : [],
-    )
-    .join("\n\n---\n\n");
-
-  const promptResp = await clients.prompt.request({
-    name: "document-rag-synthesize",
-    variables: { query: queryText, context },
-  });
-
-  const resp = await clients.llm.request({
-    system: promptResp.system,
-    prompt: promptResp.prompt,
-  });
-
-  return resp.response;
 }

ts/packages/flow/src/retrieval/graph-rag-service.ts

@@ -192,6 +192,6 @@ export const program = makeFlowProcessorProgram({
   layer: () => GraphRagLive,
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/retrieval/graph-rag.ts

@@ -86,7 +86,7 @@ export class GraphRagEngine extends Context.Service<GraphRagEngine, GraphRagEngi
 ) {}
 
 const graphRagError = (operation: string, cause: unknown) =>
-  new GraphRagEngineError({
+  GraphRagEngineError.make({
     operation,
     cause,
     message: errorMessage(cause),
@@ -110,11 +110,7 @@ export function makeGraphRagEngine(): GraphRagEngineShape {
       queryText: string,
       options?: GraphRagQueryOptions,
       config?: GraphRagConfig,
-    ) =>
-      Effect.tryPromise({
-        try: () => queryGraphRag(clients, queryText, options, config),
-        catch: (cause) => graphRagError("query", cause),
-      }),
+    ) => queryGraphRag(clients, queryText, options, config),
     ),
   };
 }
@@ -142,239 +138,283 @@ export function makeGraphRag(
   };
 }
 
-async function queryGraphRag(
+function queryGraphRag(
   clients: GraphRagClients,
   queryText: string,
   options?: GraphRagQueryOptions,
   rawConfig?: GraphRagConfig,
-): Promise<GraphRagResult> {
-  const config = normalizeGraphRagConfig(rawConfig);
-  console.log(`[GraphRag] Query: "${queryText.slice(0, 80)}..."`);
+): Effect.Effect<GraphRagResult, GraphRagEngineError> {
+  return Effect.gen(function* () {
+    const config = normalizeGraphRagConfig(rawConfig);
+    yield* Effect.log(`[GraphRag] Query: "${queryText.slice(0, 80)}..."`);
 
-  const concepts = await extractConcepts(clients, queryText);
-  console.log(`[GraphRag] Step 1: extracted ${concepts.length} concepts: ${concepts.slice(0, 5).join(", ")}`);
+    const concepts = yield* extractConcepts(clients, queryText);
+    yield* Effect.log(`[GraphRag] Step 1: extracted ${concepts.length} concepts: ${concepts.slice(0, 5).join(", ")}`);
 
-  const vectors = await getVectors(clients, concepts);
-  console.log(`[GraphRag] Step 2: got ${vectors.length} vectors (dim=${vectors[0]?.length ?? 0})`);
+    const vectors = yield* getVectors(clients, concepts);
+    yield* Effect.log(`[GraphRag] Step 2: got ${vectors.length} vectors (dim=${vectors[0]?.length ?? 0})`);
 
-  const entities = await getEntities(clients, config, vectors, options?.collection);
-  console.log(`[GraphRag] Step 3: found ${entities.length} matching entities`);
+    const entities = yield* getEntities(clients, config, vectors, options?.collection);
+    yield* Effect.log(`[GraphRag] Step 3: found ${entities.length} matching entities`);
 
-  const subgraph = await followEdges(clients, config, entities, options?.collection);
-  console.log(`[GraphRag] Step 4: traversed graph, ${subgraph.length} triples in subgraph`);
+    const subgraph = yield* followEdges(clients, config, entities, options?.collection);
+    yield* Effect.log(`[GraphRag] Step 4: traversed graph, ${subgraph.length} triples in subgraph`);
 
-  const scoredEdges = await scoreEdges(clients, config, queryText, subgraph);
-  console.log(`[GraphRag] Step 5: scored down to ${scoredEdges.length} edges`);
+    const scoredEdges = yield* scoreEdges(clients, config, queryText, subgraph);
+    yield* Effect.log(`[GraphRag] Step 5: scored down to ${scoredEdges.length} edges`);
 
-  console.log(`[GraphRag] Step 6: synthesizing answer from ${scoredEdges.length} edges...`);
-  const answer = await synthesize(
-    clients,
-    queryText,
-    scoredEdges,
-    options?.chunkCallback,
-  );
-  console.log(`[GraphRag] Step 6: done (${answer.length} chars)`);
+    yield* Effect.log(`[GraphRag] Step 6: synthesizing answer from ${scoredEdges.length} edges...`);
+    const answer = yield* synthesize(
+      clients,
+      queryText,
+      scoredEdges,
+      options?.chunkCallback,
+    );
+    yield* Effect.log(`[GraphRag] Step 6: done (${answer.length} chars)`);
 
-  return { answer, subgraph: scoredEdges };
-}
-
-async function extractConcepts(clients: GraphRagClients, query: string): Promise<string[]> {
-  const promptResp = await clients.prompt.request({
-    name: "extract-concepts",
-    variables: { query },
+    return { answer, subgraph: scoredEdges };
   });
+}
 
-  const llmResp = await clients.llm.request({
-    system: promptResp.system,
-    prompt: promptResp.prompt,
+function extractConcepts(clients: GraphRagClients, query: string): Effect.Effect<string[], GraphRagEngineError> {
+  return Effect.gen(function* () {
+    const promptResp = yield* Effect.tryPromise({
+      try: () => clients.prompt.request({
+        name: "extract-concepts",
+        variables: { query },
+      }),
+      catch: (cause) => graphRagError("extract-concepts-prompt", cause),
+    });
+
+    const llmResp = yield* Effect.tryPromise({
+      try: () => clients.llm.request({
+        system: promptResp.system,
+        prompt: promptResp.prompt,
+      }),
+      catch: (cause) => graphRagError("extract-concepts-llm", cause),
+    });
+
+    return llmResp.response
+      .split("\n")
+      .map((concept) => concept.trim())
+      .filter((concept) => concept.length > 0);
   });
-
-  return llmResp.response
-    .split("\n")
-    .map((concept) => concept.trim())
-    .filter((concept) => concept.length > 0);
 }
 
-async function getVectors(clients: GraphRagClients, concepts: string[]): Promise<number[][]> {
-  const resp = await clients.embeddings.request({ text: concepts });
-  return resp.vectors;
+function getVectors(clients: GraphRagClients, concepts: string[]): Effect.Effect<number[][], GraphRagEngineError> {
+  return Effect.gen(function* () {
+    const resp = yield* Effect.tryPromise({
+      try: () => clients.embeddings.request({ text: concepts }),
+      catch: (cause) => graphRagError("get-vectors", cause),
+    });
+    return resp.vectors;
+  });
 }
 
-async function getEntities(
+function getEntities(
   clients: GraphRagClients,
   config: NormalizedGraphRagConfig,
   vectors: number[][],
   collection?: string,
-): Promise<Term[]> {
-  const resp = await clients.graphEmbeddings.request({
-    vectors,
-    user: "default",
-    collection: collection ?? "default",
-    limit: config.entityLimit,
+): Effect.Effect<Term[], GraphRagEngineError> {
+  return Effect.gen(function* () {
+    const resp = yield* Effect.tryPromise({
+      try: () => clients.graphEmbeddings.request({
+        vectors,
+        user: "default",
+        collection: collection ?? "default",
+        limit: config.entityLimit,
+      }),
+      catch: (cause) => graphRagError("get-entities", cause),
+    });
+    return resp.entities;
   });
-  return resp.entities;
 }
 
-async function followEdges(
+function followEdges(
   clients: GraphRagClients,
   config: NormalizedGraphRagConfig,
   entities: Term[],
   collection?: string,
-): Promise<Triple[]> {
-  const visited = new Set<string>();
-  const subgraph: Triple[] = [];
-  let currentLevel = new Set<string>(
-    entities.map((entity) => termToString(entity)),
-  );
+): Effect.Effect<Triple[], GraphRagEngineError> {
+  return Effect.gen(function* () {
+    const visited = new Set<string>();
+    const subgraph: Triple[] = [];
+    let currentLevel = new Set<string>(
+      entities.map((entity) => termToString(entity)),
+    );
 
-  for (let depth = 0; depth < config.maxPathLength; depth++) {
-    if (currentLevel.size === 0 || subgraph.length >= config.maxSubgraphSize) {
-      break;
-    }
+    for (let depth = 0; depth < config.maxPathLength; depth++) {
+      if (currentLevel.size === 0 || subgraph.length >= config.maxSubgraphSize) {
+        break;
+      }
 
-    const unvisited = [...currentLevel].filter((entity) => !visited.has(entity));
-    if (unvisited.length === 0) break;
+      const unvisited = [...currentLevel].filter((entity) => !visited.has(entity));
+      if (unvisited.length === 0) break;
 
-    const queries = unvisited.map((entityStr) => {
-      const term = stringToTerm(entityStr);
-      const request: TriplesQueryRequest = {
-        s: term,
-        limit: config.tripleLimit,
-        ...(collection !== undefined ? { collection } : {}),
-      };
-      return clients.triples.request(request);
-    });
+      const queries = unvisited.map((entityStr) => {
+        const term = stringToTerm(entityStr);
+        const request: TriplesQueryRequest = {
+          s: term,
+          limit: config.tripleLimit,
+          ...(collection !== undefined ? { collection } : {}),
+        };
+        return Effect.tryPromise({
+          try: () => clients.triples.request(request),
+          catch: (cause) => graphRagError("follow-edges-query", cause),
+        });
+      });
 
-    const results = await Promise.all(queries);
-    const nextLevel = new Set<string>();
+      const results = yield* Effect.all(queries);
+      const nextLevel = new Set<string>();
 
-    for (const result of results) {
-      for (const triple of result.triples) {
-        subgraph.push(triple);
+      for (const result of results) {
+        for (const triple of result.triples) {
+          subgraph.push(triple);
 
-        if (depth < config.maxPathLength - 1) {
-          const objStr = termToString(triple.o);
-          if (!visited.has(objStr)) {
-            nextLevel.add(objStr);
+          if (depth < config.maxPathLength - 1) {
+            const objStr = termToString(triple.o);
+            if (!visited.has(objStr)) {
+              nextLevel.add(objStr);
+            }
+          }
+
+          if (subgraph.length >= config.maxSubgraphSize) {
+            return subgraph;
           }
         }
-
-        if (subgraph.length >= config.maxSubgraphSize) {
-          return subgraph;
-        }
       }
+
+      for (const entity of currentLevel) {
+        visited.add(entity);
+      }
+      currentLevel = nextLevel;
     }
 
-    for (const entity of currentLevel) {
-      visited.add(entity);
-    }
-    currentLevel = nextLevel;
-  }
-
-  return subgraph.slice(0, config.maxSubgraphSize);
+    return subgraph.slice(0, config.maxSubgraphSize);
+  });
 }
 
-async function scoreEdges(
+function scoreEdges(
   clients: GraphRagClients,
   config: NormalizedGraphRagConfig,
   query: string,
   triples: Triple[],
-): Promise<Triple[]> {
-  if (triples.length === 0) return [];
+): Effect.Effect<Triple[], GraphRagEngineError> {
+  return Effect.gen(function* () {
+    if (triples.length === 0) return [];
 
-  if (triples.length <= 500) {
-    console.log(`[GraphRag] Skipping edge scoring - ${triples.length} triples fits in context directly`);
-    return triples;
-  }
-
-  const edgeDescriptions = triples.map((triple, index) => ({
-    id: String(index),
-    s: termToString(triple.s),
-    p: termToString(triple.p),
-    o: termToString(triple.o),
-  }));
-
-  const toScore = edgeDescriptions.slice(0, config.edgeScoreLimit);
-  const knowledgeJson = JSON.stringify(toScore, null, 2);
-
-  const promptResp = await clients.prompt.request({
-    name: "kg-edge-scoring",
-    variables: {
-      query,
-      knowledge: knowledgeJson,
-    },
-  });
-
-  const llmResp = await clients.llm.request({
-    system: promptResp.system,
-    prompt: promptResp.prompt,
-  });
-
-  console.log(`[GraphRag] Edge scoring LLM response (first 500 chars): ${llmResp.response.slice(0, 500)}`);
-
-  const scored = parseScoredEdges(llmResp.response);
-  scored.sort((a, b) => b.score - a.score);
-  const topN = scored.slice(0, config.edgeLimit);
-
-  const result: Triple[] = [];
-  for (const entry of topN) {
-    const idx = Number.parseInt(entry.id, 10);
-    if (!Number.isNaN(idx) && idx >= 0 && idx < triples.length) {
-      result.push(triples[idx]);
+    if (triples.length <= 500) {
+      yield* Effect.log(`[GraphRag] Skipping edge scoring - ${triples.length} triples fits in context directly`);
+      return triples;
     }
-  }
 
-  console.log(`[GraphRag] Edge scoring: LLM returned ${scored.length} scores, keeping top ${topN.length}, mapped ${result.length} triples`);
+    const edgeDescriptions = triples.map((triple, index) => ({
+      id: String(index),
+      s: termToString(triple.s),
+      p: termToString(triple.p),
+      o: termToString(triple.o),
+    }));
 
-  if (result.length === 0) {
-    return triples.slice(0, config.edgeLimit);
-  }
+    const toScore = edgeDescriptions.slice(0, config.edgeScoreLimit);
+    const knowledgeJson = yield* S.encodeUnknownEffect(S.UnknownFromJsonString)(toScore).pipe(
+      Effect.mapError((cause) => graphRagError("edge-score-encode", cause)),
+    );
 
-  return result;
+    const promptResp = yield* Effect.tryPromise({
+      try: () => clients.prompt.request({
+        name: "kg-edge-scoring",
+        variables: {
+          query,
+          knowledge: knowledgeJson,
+        },
+      }),
+      catch: (cause) => graphRagError("edge-score-prompt", cause),
+    });
+
+    const llmResp = yield* Effect.tryPromise({
+      try: () => clients.llm.request({
+        system: promptResp.system,
+        prompt: promptResp.prompt,
+      }),
+      catch: (cause) => graphRagError("edge-score-llm", cause),
+    });
+
+    yield* Effect.log(`[GraphRag] Edge scoring LLM response (first 500 chars): ${llmResp.response.slice(0, 500)}`);
+
+    const scored = parseScoredEdges(llmResp.response);
+    scored.sort((a, b) => b.score - a.score);
+    const topN = scored.slice(0, config.edgeLimit);
+
+    const result: Triple[] = [];
+    for (const entry of topN) {
+      const idx = Number.parseInt(entry.id, 10);
+      if (!Number.isNaN(idx) && idx >= 0 && idx < triples.length) {
+        result.push(triples[idx]);
+      }
+    }
+
+    yield* Effect.log(`[GraphRag] Edge scoring: LLM returned ${scored.length} scores, keeping top ${topN.length}, mapped ${result.length} triples`);
+
+    if (result.length === 0) {
+      return triples.slice(0, config.edgeLimit);
+    }
+
+    return result;
+  });
 }
 
-async function synthesize(
+function synthesize(
   clients: GraphRagClients,
   query: string,
   edges: Triple[],
   chunkCallback?: ChunkCallback,
-): Promise<string> {
-  const context = edges
-    .map((triple) => `${termToString(triple.s)} -> ${termToString(triple.p)} -> ${termToString(triple.o)}`)
-    .join("\n");
+): Effect.Effect<string, GraphRagEngineError> {
+  return Effect.gen(function* () {
+    const context = edges
+      .map((triple) => `${termToString(triple.s)} -> ${termToString(triple.p)} -> ${termToString(triple.o)}`)
+      .join("\n");
 
-  const promptResp = await clients.prompt.request({
-    name: "graph-rag-synthesize",
-    variables: { query, context },
-  });
+    const promptResp = yield* Effect.tryPromise({
+      try: () => clients.prompt.request({
+        name: "graph-rag-synthesize",
+        variables: { query, context },
+      }),
+      catch: (cause) => graphRagError("synthesize-prompt", cause),
+    });
 
-  if (chunkCallback !== undefined) {
-    let fullText = "";
-    await clients.llm.request(
-      {
+    if (chunkCallback !== undefined) {
+      let fullText = "";
+      yield* Effect.tryPromise({
+        try: () => clients.llm.request(
+          {
+            system: promptResp.system,
+            prompt: promptResp.prompt,
+            streaming: true,
+          },
+          {
+            recipient: (resp) => {
+              if (resp.response.length === 0) return Promise.resolve(resp.endOfStream === true);
+              fullText += resp.response;
+              return chunkCallback(resp.response, resp.endOfStream === true).then(() => resp.endOfStream === true);
+            },
+          },
+        ),
+        catch: (cause) => graphRagError("synthesize-stream", cause),
+      });
+      return fullText;
+    }
+
+    const resp = yield* Effect.tryPromise({
+      try: () => clients.llm.request({
         system: promptResp.system,
         prompt: promptResp.prompt,
-        streaming: true,
-      },
-      {
-        recipient: async (resp) => {
-          if (resp.response.length > 0) {
-            fullText += resp.response;
-            await chunkCallback(resp.response, resp.endOfStream === true);
-          }
-          return resp.endOfStream === true;
-        },
-      },
-    );
-    return fullText;
-  }
+      }),
+      catch: (cause) => graphRagError("synthesize-llm", cause),
+    });
 
-  const resp = await clients.llm.request({
-    system: promptResp.system,
-    prompt: promptResp.prompt,
+    return resp.response;
   });
-
-  return resp.response;
 }
 
 const ScoredEdge = S.Struct({

ts/packages/flow/src/runtime/effect-files.ts

@@ -23,8 +23,8 @@ export function readTextFile(path: string): Promise<string> {
   return Bun.file(path).text();
 }
 
-export async function readBinaryFile(path: string): Promise<Uint8Array> {
-  return new Uint8Array(await Bun.file(path).arrayBuffer());
+export function readBinaryFile(path: string): Promise<Uint8Array> {
+  return Bun.file(path).arrayBuffer().then((buffer) => new Uint8Array(buffer));
 }
 
 export function writeTextFile(path: string, data: string): Promise<void> {

ts/packages/flow/src/storage/embeddings/graph-embeddings-service.ts

@@ -103,7 +103,7 @@ export function makeGraphEmbeddingsStoreService(config: ProcessorConfig): GraphE
         ),
       ),
   });
-  console.log("[GraphEmbeddingsStore] Service initialized");
+  Effect.runSync(Effect.log("[GraphEmbeddingsStore] Service initialized"));
   return service;
 }
 
@@ -119,6 +119,6 @@ export const program = makeFlowProcessorProgram<
   layer: (config) => QdrantGraphEmbeddingsStoreLive(config),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/storage/embeddings/qdrant-doc.ts

@@ -9,6 +9,10 @@
  */
 
 import { QdrantClient } from "@qdrant/js-client-rest";
+import { errorMessage } from "@trustgraph/base";
+import { Config, Effect, Random } from "effect";
+import * as O from "effect/Option";
+import * as S from "effect/Schema";
 
 export interface QdrantDocEmbeddingsConfig {
   url?: string;
@@ -27,43 +31,110 @@ export interface DocEmbeddingsMessage {
   chunks: DocEmbeddingChunk[];
 }
 
+export class QdrantDocEmbeddingsStoreError extends S.TaggedErrorClass<QdrantDocEmbeddingsStoreError>()(
+  "QdrantDocEmbeddingsStoreError",
+  {
+    message: S.String,
+    operation: S.String,
+    cause: S.DefectWithStack,
+  },
+) {}
+
+const qdrantDocEmbeddingsStoreError = (operation: string, cause: unknown) =>
+  QdrantDocEmbeddingsStoreError.make({
+    operation,
+    message: errorMessage(cause),
+    cause,
+  });
+
+interface ResolvedQdrantDocEmbeddingsConfig {
+  readonly url: string;
+  readonly apiKey?: string;
+}
+
+const loadQdrantDocEmbeddingsConfig = Effect.fn("QdrantDocEmbeddings.loadConfig")(function* (
+  config: QdrantDocEmbeddingsConfig,
+) {
+  const envApiKey = O.getOrUndefined(yield* Config.string("QDRANT_API_KEY").pipe(Config.option));
+  const apiKey = config.apiKey ?? envApiKey;
+  return {
+    url: config.url ?? (yield* Config.string("QDRANT_URL").pipe(Config.withDefault("http://localhost:6333"))),
+    ...(apiKey !== undefined && apiKey.length > 0 ? { apiKey } : {}),
+  } satisfies ResolvedQdrantDocEmbeddingsConfig;
+});
+
+const randomHex = Effect.fn("QdrantDocEmbeddings.randomHex")(function* (digits: number) {
+  let result = "";
+  for (let index = 0; index < digits; index++) {
+    const value = yield* Random.nextIntBetween(0, 16);
+    result += value.toString(16);
+  }
+  return result;
+});
+
+const randomPointId = Effect.fn("QdrantDocEmbeddings.randomPointId")(function* () {
+  const part1 = yield* randomHex(8);
+  const part2 = yield* randomHex(4);
+  const versionRest = yield* randomHex(3);
+  const variant = yield* Random.nextIntBetween(8, 12);
+  const variantRest = yield* randomHex(3);
+  const part5 = yield* randomHex(12);
+  return `${part1}-${part2}-4${versionRest}-${variant.toString(16)}${variantRest}-${part5}`;
+});
+
 export interface QdrantDocEmbeddingsStore {
   readonly store: (message: DocEmbeddingsMessage) => Promise<void>;
   readonly deleteCollection: (user: string, collection: string) => Promise<void>;
+  readonly storeEffect: (
+    message: DocEmbeddingsMessage,
+  ) => Effect.Effect<void, QdrantDocEmbeddingsStoreError>;
+  readonly deleteCollectionEffect: (
+    user: string,
+    collection: string,
+  ) => Effect.Effect<void, QdrantDocEmbeddingsStoreError>;
 }
 
 export function makeQdrantDocEmbeddingsStore(
   config: QdrantDocEmbeddingsConfig = {},
 ): QdrantDocEmbeddingsStore {
-  const url = config.url ?? process.env.QDRANT_URL ?? "http://localhost:6333";
-  const apiKey = config.apiKey ?? process.env.QDRANT_API_KEY;
+  const resolved = Effect.runSync(loadQdrantDocEmbeddingsConfig(config));
 
   const client = new QdrantClient({
-    url,
-    ...(apiKey !== undefined && apiKey.length > 0 ? { apiKey } : {}),
+    url: resolved.url,
+    ...(resolved.apiKey !== undefined ? { apiKey: resolved.apiKey } : {}),
   });
   const knownCollections = new Set<string>();
 
-  console.log("[QdrantDocEmbeddings] Store initialized");
+  Effect.runSync(Effect.log("[QdrantDocEmbeddings] Store initialized"));
 
   const collectionName = (user: string, collection: string, dim: number): string =>
     `d_${user}_${collection}_${dim}`;
 
-  const ensureCollection = async (name: string, dim: number): Promise<void> => {
+  const ensureCollectionEffect = Effect.fn("QdrantDocEmbeddings.ensureCollection")(function* (
+    name: string,
+    dim: number,
+  ) {
     if (knownCollections.has(name)) return;
 
-    const exists = await client.collectionExists(name);
+    const exists = yield* Effect.tryPromise({
+      try: () => client.collectionExists(name),
+      catch: (cause) => qdrantDocEmbeddingsStoreError("collection-exists", cause),
+    });
     if (!exists.exists) {
-      console.log(`[QdrantDocEmbeddings] Creating collection ${name} (dim=${dim})`);
-      await client.createCollection(name, {
-        vectors: { size: dim, distance: "Cosine" },
+      yield* Effect.log(`[QdrantDocEmbeddings] Creating collection ${name} (dim=${dim})`);
+      yield* Effect.tryPromise({
+        try: () =>
+          client.createCollection(name, {
+            vectors: { size: dim, distance: "Cosine" },
+          }),
+        catch: (cause) => qdrantDocEmbeddingsStoreError("create-collection", cause),
       });
     }
 
     knownCollections.add(name);
-  };
+  });
 
-  const store = async (message: DocEmbeddingsMessage): Promise<void> => {
+  const storeEffect = Effect.fn("QdrantDocEmbeddings.store")(function* (message: DocEmbeddingsMessage) {
     for (const chunk of message.chunks) {
       if (chunk.chunkId.length === 0) continue;
       if (chunk.vector.length === 0) continue;
@@ -71,48 +142,68 @@ export function makeQdrantDocEmbeddingsStore(
       const dim = chunk.vector.length;
       const name = collectionName(message.user, message.collection, dim);
 
-      await ensureCollection(name, dim);
+      yield* ensureCollectionEffect(name, dim);
 
-      await client.upsert(name, {
-        points: [
-          {
-            id: crypto.randomUUID(),
-            vector: chunk.vector,
-            payload: {
-              chunk_id: chunk.chunkId,
-              ...(chunk.content !== undefined && chunk.content.length > 0
-                ? { content: chunk.content }
-                : {}),
-            },
-          },
-        ],
+      const id = yield* randomPointId();
+      yield* Effect.tryPromise({
+        try: () =>
+          client.upsert(name, {
+            points: [
+              {
+                id,
+                vector: chunk.vector,
+                payload: {
+                  chunk_id: chunk.chunkId,
+                  ...(chunk.content !== undefined && chunk.content.length > 0
+                    ? { content: chunk.content }
+                    : {}),
+                },
+              },
+            ],
+          }),
+        catch: (cause) => qdrantDocEmbeddingsStoreError("upsert", cause),
       });
     }
-  };
+  });
 
-  const deleteCollection = async (user: string, collection: string): Promise<void> => {
+  const deleteCollectionEffect = Effect.fn("QdrantDocEmbeddings.deleteCollection")(function* (
+    user: string,
+    collection: string,
+  ) {
     const prefix = `d_${user}_${collection}_`;
 
-    const allCollections = await client.getCollections();
+    const allCollections = yield* Effect.tryPromise({
+      try: () => client.getCollections(),
+      catch: (cause) => qdrantDocEmbeddingsStoreError("get-collections", cause),
+    });
     const matching = allCollections.collections.filter((c) =>
       c.name.startsWith(prefix),
     );
 
     if (matching.length === 0) {
-      console.log(`[QdrantDocEmbeddings] No collections matching prefix ${prefix}`);
+      yield* Effect.log(`[QdrantDocEmbeddings] No collections matching prefix ${prefix}`);
       return;
     }
 
     for (const coll of matching) {
-      await client.deleteCollection(coll.name);
+      yield* Effect.tryPromise({
+        try: () => client.deleteCollection(coll.name),
+        catch: (cause) => qdrantDocEmbeddingsStoreError("delete-collection", cause),
+      });
       knownCollections.delete(coll.name);
-      console.log(`[QdrantDocEmbeddings] Deleted collection: ${coll.name}`);
+      yield* Effect.log(`[QdrantDocEmbeddings] Deleted collection: ${coll.name}`);
     }
 
-    console.log(
+    yield* Effect.log(
       `[QdrantDocEmbeddings] Deleted ${matching.length} collection(s) for ${user}/${collection}`,
     );
-  };
+  });
 
-  return { store, deleteCollection };
+  return {
+    store: (message) => Effect.runPromise(storeEffect(message)),
+    deleteCollection: (user, collection) =>
+      Effect.runPromise(deleteCollectionEffect(user, collection)),
+    storeEffect,
+    deleteCollectionEffect,
+  };
 }

ts/packages/flow/src/storage/embeddings/qdrant-graph.ts

@@ -10,7 +10,8 @@
 
 import { QdrantClient } from "@qdrant/js-client-rest";
 import { errorMessage, type Term } from "@trustgraph/base";
-import { Context, Effect, Layer } from "effect";
+import { Config, Context, Effect, Layer, Random } from "effect";
+import * as O from "effect/Option";
 import * as S from "effect/Schema";
 
 export interface QdrantGraphEmbeddingsConfig {
@@ -30,6 +31,57 @@ export interface GraphEmbeddingsMessage {
   entities: GraphEmbeddingEntity[];
 }
 
+export class QdrantGraphEmbeddingsStoreError extends S.TaggedErrorClass<QdrantGraphEmbeddingsStoreError>()(
+  "QdrantGraphEmbeddingsStoreError",
+  {
+    message: S.String,
+    operation: S.String,
+    cause: S.DefectWithStack,
+  },
+) {}
+
+const qdrantGraphEmbeddingsStoreError = (operation: string, cause: unknown) =>
+  QdrantGraphEmbeddingsStoreError.make({
+    operation,
+    message: errorMessage(cause),
+    cause,
+  });
+
+interface ResolvedQdrantGraphEmbeddingsConfig {
+  readonly url: string;
+  readonly apiKey?: string;
+}
+
+const loadQdrantGraphEmbeddingsConfig = Effect.fn("QdrantGraphEmbeddings.loadConfig")(function* (
+  config: QdrantGraphEmbeddingsConfig,
+) {
+  const envApiKey = O.getOrUndefined(yield* Config.string("QDRANT_API_KEY").pipe(Config.option));
+  const apiKey = config.apiKey ?? envApiKey;
+  return {
+    url: config.url ?? (yield* Config.string("QDRANT_URL").pipe(Config.withDefault("http://localhost:6333"))),
+    ...(apiKey !== undefined && apiKey.length > 0 ? { apiKey } : {}),
+  } satisfies ResolvedQdrantGraphEmbeddingsConfig;
+});
+
+const randomHex = Effect.fn("QdrantGraphEmbeddings.randomHex")(function* (digits: number) {
+  let result = "";
+  for (let index = 0; index < digits; index++) {
+    const value = yield* Random.nextIntBetween(0, 16);
+    result += value.toString(16);
+  }
+  return result;
+});
+
+const randomPointId = Effect.fn("QdrantGraphEmbeddings.randomPointId")(function* () {
+  const part1 = yield* randomHex(8);
+  const part2 = yield* randomHex(4);
+  const versionRest = yield* randomHex(3);
+  const variant = yield* Random.nextIntBetween(8, 12);
+  const variantRest = yield* randomHex(3);
+  const part5 = yield* randomHex(12);
+  return `${part1}-${part2}-4${versionRest}-${variant.toString(16)}${variantRest}-${part5}`;
+});
+
 function getTermValue(term: Term): string | null {
   switch (term.type) {
     case "IRI":
@@ -46,40 +98,56 @@ function getTermValue(term: Term): string | null {
 export interface QdrantGraphEmbeddingsStore {
   readonly store: (message: GraphEmbeddingsMessage) => Promise<void>;
   readonly deleteCollection: (user: string, collection: string) => Promise<void>;
+  readonly storeEffect: (
+    message: GraphEmbeddingsMessage,
+  ) => Effect.Effect<void, QdrantGraphEmbeddingsStoreError>;
+  readonly deleteCollectionEffect: (
+    user: string,
+    collection: string,
+  ) => Effect.Effect<void, QdrantGraphEmbeddingsStoreError>;
 }
 
 export function makeQdrantGraphEmbeddingsStore(
   config: QdrantGraphEmbeddingsConfig = {},
 ): QdrantGraphEmbeddingsStore {
-  const url = config.url ?? process.env.QDRANT_URL ?? "http://localhost:6333";
-  const apiKey = config.apiKey ?? process.env.QDRANT_API_KEY;
+  const resolved = Effect.runSync(loadQdrantGraphEmbeddingsConfig(config));
 
   const client = new QdrantClient({
-    url,
-    ...(apiKey !== undefined && apiKey.length > 0 ? { apiKey } : {}),
+    url: resolved.url,
+    ...(resolved.apiKey !== undefined ? { apiKey: resolved.apiKey } : {}),
   });
   const knownCollections = new Set<string>();
 
-  console.log("[QdrantGraphEmbeddings] Store initialized");
+  Effect.runSync(Effect.log("[QdrantGraphEmbeddings] Store initialized"));
 
   const collectionName = (user: string, collection: string, dim: number): string =>
     `t_${user}_${collection}_${dim}`;
 
-  const ensureCollection = async (name: string, dim: number): Promise<void> => {
+  const ensureCollectionEffect = Effect.fn("QdrantGraphEmbeddings.ensureCollection")(function* (
+    name: string,
+    dim: number,
+  ) {
     if (knownCollections.has(name)) return;
 
-    const exists = await client.collectionExists(name);
+    const exists = yield* Effect.tryPromise({
+      try: () => client.collectionExists(name),
+      catch: (cause) => qdrantGraphEmbeddingsStoreError("collection-exists", cause),
+    });
     if (!exists.exists) {
-      console.log(`[QdrantGraphEmbeddings] Creating collection ${name} (dim=${dim})`);
-      await client.createCollection(name, {
-        vectors: { size: dim, distance: "Cosine" },
+      yield* Effect.log(`[QdrantGraphEmbeddings] Creating collection ${name} (dim=${dim})`);
+      yield* Effect.tryPromise({
+        try: () =>
+          client.createCollection(name, {
+            vectors: { size: dim, distance: "Cosine" },
+          }),
+        catch: (cause) => qdrantGraphEmbeddingsStoreError("create-collection", cause),
       });
     }
 
     knownCollections.add(name);
-  };
+  });
 
-  const store = async (message: GraphEmbeddingsMessage): Promise<void> => {
+  const storeEffect = Effect.fn("QdrantGraphEmbeddings.store")(function* (message: GraphEmbeddingsMessage) {
     for (const entry of message.entities) {
       const entityValue = getTermValue(entry.entity);
       if (entityValue === null || entityValue.length === 0) continue;
@@ -88,61 +156,72 @@ export function makeQdrantGraphEmbeddingsStore(
       const dim = entry.vector.length;
       const name = collectionName(message.user, message.collection, dim);
 
-      await ensureCollection(name, dim);
+      yield* ensureCollectionEffect(name, dim);
 
       const payload: Record<string, unknown> = { entity: entityValue };
       if (entry.chunkId !== undefined && entry.chunkId.length > 0) {
         payload.chunk_id = entry.chunkId;
       }
 
-      await client.upsert(name, {
-        points: [
-          {
-            id: crypto.randomUUID(),
-            vector: entry.vector,
-            payload,
-          },
-        ],
+      const id = yield* randomPointId();
+      yield* Effect.tryPromise({
+        try: () =>
+          client.upsert(name, {
+            points: [
+              {
+                id,
+                vector: entry.vector,
+                payload,
+              },
+            ],
+          }),
+        catch: (cause) => qdrantGraphEmbeddingsStoreError("upsert", cause),
       });
     }
-  };
+  });
 
-  const deleteCollection = async (user: string, collection: string): Promise<void> => {
+  const deleteCollectionEffect = Effect.fn("QdrantGraphEmbeddings.deleteCollection")(function* (
+    user: string,
+    collection: string,
+  ) {
     const prefix = `t_${user}_${collection}_`;
 
-    const allCollections = await client.getCollections();
+    const allCollections = yield* Effect.tryPromise({
+      try: () => client.getCollections(),
+      catch: (cause) => qdrantGraphEmbeddingsStoreError("get-collections", cause),
+    });
     const matching = allCollections.collections.filter((c) =>
       c.name.startsWith(prefix),
     );
 
     if (matching.length === 0) {
-      console.log(`[QdrantGraphEmbeddings] No collections matching prefix ${prefix}`);
+      yield* Effect.log(`[QdrantGraphEmbeddings] No collections matching prefix ${prefix}`);
       return;
     }
 
     for (const coll of matching) {
-      await client.deleteCollection(coll.name);
+      yield* Effect.tryPromise({
+        try: () => client.deleteCollection(coll.name),
+        catch: (cause) => qdrantGraphEmbeddingsStoreError("delete-collection", cause),
+      });
       knownCollections.delete(coll.name);
-      console.log(`[QdrantGraphEmbeddings] Deleted collection: ${coll.name}`);
+      yield* Effect.log(`[QdrantGraphEmbeddings] Deleted collection: ${coll.name}`);
     }
 
-    console.log(
+    yield* Effect.log(
       `[QdrantGraphEmbeddings] Deleted ${matching.length} collection(s) for ${user}/${collection}`,
     );
+  });
+
+  return {
+    store: (message) => Effect.runPromise(storeEffect(message)),
+    deleteCollection: (user, collection) =>
+      Effect.runPromise(deleteCollectionEffect(user, collection)),
+    storeEffect,
+    deleteCollectionEffect,
   };
-
-  return { store, deleteCollection };
 }
 
-export class QdrantGraphEmbeddingsStoreError extends S.TaggedErrorClass<QdrantGraphEmbeddingsStoreError>()(
-  "QdrantGraphEmbeddingsStoreError",
-  {
-    message: S.String,
-    operation: S.String,
-    cause: S.DefectWithStack,
-  },
-) {}
-
 export interface QdrantGraphEmbeddingsStoreServiceShape {
   readonly store: (
     message: GraphEmbeddingsMessage,
@@ -160,33 +239,13 @@ export class QdrantGraphEmbeddingsStoreService extends Context.Service<
   "@trustgraph/flow/storage/embeddings/qdrant-graph/QdrantGraphEmbeddingsStoreService",
 ) {}
 
-const qdrantGraphEmbeddingsStoreError = (operation: string, cause: unknown) =>
-  new QdrantGraphEmbeddingsStoreError({
-    operation,
-    message: errorMessage(cause),
-    cause,
-  });
-
 export const makeQdrantGraphEmbeddingsStoreService = (
   config: QdrantGraphEmbeddingsConfig = {},
 ): QdrantGraphEmbeddingsStoreServiceShape => {
   const store = makeQdrantGraphEmbeddingsStore(config);
   return {
-    store: Effect.fn("QdrantGraphEmbeddingsStore.store")(function* (message) {
-      return yield* Effect.tryPromise({
-        try: () => store.store(message),
-        catch: (cause) => qdrantGraphEmbeddingsStoreError("store", cause),
-      });
-    }),
-    deleteCollection: Effect.fn("QdrantGraphEmbeddingsStore.deleteCollection")(function* (
-      user,
-      collection,
-    ) {
-      return yield* Effect.tryPromise({
-        try: () => store.deleteCollection(user, collection),
-        catch: (cause) => qdrantGraphEmbeddingsStoreError("delete-collection", cause),
-      });
-    }),
+    store: store.storeEffect,
+    deleteCollection: store.deleteCollectionEffect,
   };
 };
 

ts/packages/flow/src/storage/triples/falkordb-service.ts

@@ -66,7 +66,7 @@ export function makeTriplesStoreService(config: ProcessorConfig): TriplesStoreSe
         ),
       ),
   });
-  console.log("[TriplesStore] Service initialized");
+  void Effect.runPromise(Effect.log("[TriplesStore] Service initialized"));
   return service;
 }
 
@@ -78,6 +78,6 @@ export const program = makeFlowProcessorProgram<ProcessorConfig & FalkorDBConfig
   layer: (config) => FalkorDBTriplesStoreLive(config),
 });
 
-export async function run(): Promise<void> {
-  await Effect.runPromise(program);
+export function run(): Promise<void> {
+  return Effect.runPromise(program);
 }

ts/packages/flow/src/storage/triples/falkordb.ts

@@ -1,5 +1,5 @@
 /**
- * FalkorDB triples store — writes RDF triples to a FalkorDB graph.
+ * FalkorDB triples store - writes RDF triples to a FalkorDB graph.
  *
  * FalkorDB is Redis-based and uses Cypher queries, same as the Python impl.
  * Pairs well with Graphiti which also uses FalkorDB as its backend.
@@ -9,7 +9,7 @@
 
 import { createClient, Graph } from "falkordb";
 import { errorMessage, type Term, type Triple } from "@trustgraph/base";
-import { Context, Effect, Layer } from "effect";
+import { Config, Context, Effect, Layer } from "effect";
 import * as S from "effect/Schema";
 
 export interface FalkorDBConfig {
@@ -26,7 +26,7 @@ function getTermValue(term: Term): string {
     case "BLANK":
       return term.id;
     case "TRIPLE":
-      return getTermValue(term.triple.s); // fallback
+      return getTermValue(term.triple.s);
   }
 }
 
@@ -55,113 +55,6 @@ export interface FalkorDBTriplesStore {
   readonly deleteCollection: (user: string, collection: string) => Promise<void>;
 }
 
-export function makeFalkorDBTriplesStore(config: FalkorDBConfig = {}): FalkorDBTriplesStore {
-  const url = config.url ?? process.env.FALKORDB_URL ?? "redis://localhost:6379";
-  const database = config.database ?? "falkordb";
-
-  const client = createClient({ url });
-  const graph = new Graph(client, database);
-  const connectPromise = client.connect().then(() => {
-    console.log(`[FalkorDBTriplesStore] Connected to ${url}, graph: ${database}`);
-  }).catch((err) => {
-    console.error(`[FalkorDBTriplesStore] Connection failed:`, err);
-    throw err;
-  });
-
-  const ensureConnected = async (): Promise<void> => {
-    await connectPromise;
-  };
-
-  const createNode = async (uri: string, user: string, collection: string): Promise<void> => {
-    await ensureConnected();
-    await graph.query(
-      "MERGE (n:Node {uri: $uri, user: $user, collection: $collection})",
-      { params: { uri, user, collection } },
-    );
-  };
-
-  const createLiteral = async (value: string, user: string, collection: string): Promise<void> => {
-    await ensureConnected();
-    await graph.query(
-      "MERGE (n:Literal {value: $value, user: $user, collection: $collection})",
-      { params: { value, user, collection } },
-    );
-  };
-
-  const relateNode = async (
-    src: string, uri: string, dest: string,
-    user: string, collection: string,
-  ): Promise<void> => {
-    await ensureConnected();
-    await graph.query(
-      "MATCH (src:Node {uri: $src, user: $user, collection: $collection}) " +
-      "MATCH (dest:Node {uri: $dest, user: $user, collection: $collection}) " +
-      "MERGE (src)-[:Rel {uri: $uri, user: $user, collection: $collection}]->(dest)",
-      { params: { src, dest, uri, user, collection } },
-    );
-  };
-
-  const relateLiteral = async (
-    src: string, uri: string, dest: string,
-    user: string, collection: string,
-  ): Promise<void> => {
-    await ensureConnected();
-    await graph.query(
-      "MATCH (src:Node {uri: $src, user: $user, collection: $collection}) " +
-      "MATCH (dest:Literal {value: $dest, user: $user, collection: $collection}) " +
-      "MERGE (src)-[:Rel {uri: $uri, user: $user, collection: $collection}]->(dest)",
-      { params: { src, dest, uri, user, collection } },
-    );
-  };
-
-  const storeTriples = async (
-    triples: Triple[],
-    user = "default",
-    collection = "default",
-  ): Promise<void> => {
-    for (const t of triples) {
-      const s = getTermValue(t.s);
-      const p = getTermValue(t.p);
-      const o = getTermValue(t.o);
-
-      await createNode(s, user, collection);
-
-      if (t.o.type === "IRI") {
-        await createNode(o, user, collection);
-        await relateNode(s, p, o, user, collection);
-      } else {
-        await createLiteral(o, user, collection);
-        await relateLiteral(s, p, o, user, collection);
-      }
-    }
-  };
-
-  const deleteCollection = async (user: string, collection: string): Promise<void> => {
-    await ensureConnected();
-    await graph.query(
-      "MATCH (n:Node {user: $user, collection: $collection}) DETACH DELETE n",
-      { params: { user, collection } },
-    );
-    await graph.query(
-      "MATCH (n:Literal {user: $user, collection: $collection}) DETACH DELETE n",
-      { params: { user, collection } },
-    );
-    await graph.query(
-      "MATCH (c:CollectionMetadata {user: $user, collection: $collection}) DELETE c",
-      { params: { user, collection } },
-    );
-  };
-
-  return {
-    createNode,
-    createLiteral,
-    relateNode,
-    relateLiteral,
-    storeTriples,
-    deleteCollection,
-  };
-}
-
 export class FalkorDBTriplesStoreError extends S.TaggedErrorClass<FalkorDBTriplesStoreError>()(
   "FalkorDBTriplesStoreError",
   {
@@ -190,35 +83,268 @@ export class FalkorDBTriplesStoreService extends Context.Service<
   "@trustgraph/flow/storage/triples/falkordb/FalkorDBTriplesStoreService",
 ) {}
 
-const falkorDBTriplesStoreError = (operation: string, cause: unknown) =>
-  new FalkorDBTriplesStoreError({
+const falkorDBTriplesStoreError = (operation: string, cause: unknown): FalkorDBTriplesStoreError =>
+  FalkorDBTriplesStoreError.make({
     operation,
     message: errorMessage(cause),
     cause,
   });
 
+interface FalkorDBStoreConnection {
+  readonly graph: Graph;
+}
+
+type FalkorDBQueryOptions = Parameters<Graph["query"]>[1];
+
+interface FalkorDBTriplesStoreEffectShape {
+  readonly createNode: (
+    uri: string,
+    user: string,
+    collection: string,
+  ) => Effect.Effect<void, FalkorDBTriplesStoreError>;
+  readonly createLiteral: (
+    value: string,
+    user: string,
+    collection: string,
+  ) => Effect.Effect<void, FalkorDBTriplesStoreError>;
+  readonly relateNode: (
+    src: string,
+    uri: string,
+    dest: string,
+    user: string,
+    collection: string,
+  ) => Effect.Effect<void, FalkorDBTriplesStoreError>;
+  readonly relateLiteral: (
+    src: string,
+    uri: string,
+    dest: string,
+    user: string,
+    collection: string,
+  ) => Effect.Effect<void, FalkorDBTriplesStoreError>;
+  readonly storeTriples: (
+    triples: ReadonlyArray<Triple>,
+    user: string,
+    collection: string,
+  ) => Effect.Effect<void, FalkorDBTriplesStoreError>;
+  readonly deleteCollection: (
+    user: string,
+    collection: string,
+  ) => Effect.Effect<void, FalkorDBTriplesStoreError>;
+}
+
+const resolveFalkorDBStoreConfig = Effect.fn("FalkorDBTriplesStore.resolveConfig")(function* (
+  config: FalkorDBConfig,
+) {
+  const url = config.url ?? (yield* Config.string("FALKORDB_URL").pipe(
+    Config.withDefault("redis://localhost:6379"),
+    Effect.mapError((cause) => falkorDBTriplesStoreError("config", cause)),
+  ));
+  return {
+    url,
+    database: config.database ?? "falkordb",
+  };
+});
+
+const connectFalkorDBTriplesStore = (
+  config: FalkorDBConfig,
+): Effect.Effect<FalkorDBStoreConnection, FalkorDBTriplesStoreError> =>
+  Effect.gen(function* () {
+    const { url, database } = yield* resolveFalkorDBStoreConfig(config);
+    const { client, graph } = yield* Effect.try({
+      try: () => {
+        const client = createClient({ url });
+        return { client, graph: new Graph(client, database) };
+      },
+      catch: (cause) => falkorDBTriplesStoreError("create-client", cause),
+    });
+
+    yield* Effect.tryPromise({
+      try: () => client.connect(),
+      catch: (cause) => falkorDBTriplesStoreError("connect", cause),
+    }).pipe(
+      Effect.tapError((error) =>
+        Effect.logError("[FalkorDBTriplesStore] Connection failed", {
+          error: error.message,
+          operation: error.operation,
+        })
+      ),
+    );
+
+    yield* Effect.log(`[FalkorDBTriplesStore] Connected to ${url}, graph: ${database}`);
+    return { graph };
+  });
+
+const runGraphQuery = (
+  graph: Graph,
+  operation: string,
+  query: string,
+  options?: FalkorDBQueryOptions,
+): Effect.Effect<void, FalkorDBTriplesStoreError> =>
+  Effect.tryPromise({
+    try: () => graph.query(query, options),
+    catch: (cause) => falkorDBTriplesStoreError(operation, cause),
+  }).pipe(
+    Effect.asVoid,
+  );
+
+const makeFalkorDBTriplesStoreEffect = (
+  config: FalkorDBConfig = {},
+): FalkorDBTriplesStoreEffectShape => {
+  let cachedConnection: Effect.Effect<FalkorDBStoreConnection, FalkorDBTriplesStoreError> | undefined;
+
+  const getConnection = Effect.fn("FalkorDBTriplesStore.connection")(function* () {
+    if (cachedConnection === undefined) {
+      cachedConnection = yield* Effect.cached(connectFalkorDBTriplesStore(config));
+    }
+    return yield* cachedConnection;
+  });
+
+  const createNode = Effect.fn("FalkorDBTriplesStore.createNode")(function* (
+    uri: string,
+    user: string,
+    collection: string,
+  ) {
+    const { graph } = yield* getConnection();
+    yield* runGraphQuery(
+      graph,
+      "create-node",
+      "MERGE (n:Node {uri: $uri, user: $user, collection: $collection})",
+      { params: { uri, user, collection } },
+    );
+  });
+
+  const createLiteral = Effect.fn("FalkorDBTriplesStore.createLiteral")(function* (
+    value: string,
+    user: string,
+    collection: string,
+  ) {
+    const { graph } = yield* getConnection();
+    yield* runGraphQuery(
+      graph,
+      "create-literal",
+      "MERGE (n:Literal {value: $value, user: $user, collection: $collection})",
+      { params: { value, user, collection } },
+    );
+  });
+
+  const relateNode = Effect.fn("FalkorDBTriplesStore.relateNode")(function* (
+    src: string,
+    uri: string,
+    dest: string,
+    user: string,
+    collection: string,
+  ) {
+    const { graph } = yield* getConnection();
+    yield* runGraphQuery(
+      graph,
+      "relate-node",
+      "MATCH (src:Node {uri: $src, user: $user, collection: $collection}) " +
+        "MATCH (dest:Node {uri: $dest, user: $user, collection: $collection}) " +
+        "MERGE (src)-[:Rel {uri: $uri, user: $user, collection: $collection}]->(dest)",
+      { params: { src, dest, uri, user, collection } },
+    );
+  });
+
+  const relateLiteral = Effect.fn("FalkorDBTriplesStore.relateLiteral")(function* (
+    src: string,
+    uri: string,
+    dest: string,
+    user: string,
+    collection: string,
+  ) {
+    const { graph } = yield* getConnection();
+    yield* runGraphQuery(
+      graph,
+      "relate-literal",
+      "MATCH (src:Node {uri: $src, user: $user, collection: $collection}) " +
+        "MATCH (dest:Literal {value: $dest, user: $user, collection: $collection}) " +
+        "MERGE (src)-[:Rel {uri: $uri, user: $user, collection: $collection}]->(dest)",
+      { params: { src, dest, uri, user, collection } },
+    );
+  });
+
+  const storeTriples = Effect.fn("FalkorDBTriplesStore.storeTriples")(function* (
+    triples: ReadonlyArray<Triple>,
+    user: string,
+    collection: string,
+  ) {
+    for (const triple of triples) {
+      const s = getTermValue(triple.s);
+      const p = getTermValue(triple.p);
+      const o = getTermValue(triple.o);
+
+      yield* createNode(s, user, collection);
+
+      if (triple.o.type === "IRI") {
+        yield* createNode(o, user, collection);
+        yield* relateNode(s, p, o, user, collection);
+      } else {
+        yield* createLiteral(o, user, collection);
+        yield* relateLiteral(s, p, o, user, collection);
+      }
+    }
+  });
+
+  const deleteCollection = Effect.fn("FalkorDBTriplesStore.deleteCollection")(function* (
+    user: string,
+    collection: string,
+  ) {
+    const { graph } = yield* getConnection();
+    yield* runGraphQuery(
+      graph,
+      "delete-collection-nodes",
+      "MATCH (n:Node {user: $user, collection: $collection}) DETACH DELETE n",
+      { params: { user, collection } },
+    );
+    yield* runGraphQuery(
+      graph,
+      "delete-collection-literals",
+      "MATCH (n:Literal {user: $user, collection: $collection}) DETACH DELETE n",
+      { params: { user, collection } },
+    );
+    yield* runGraphQuery(
+      graph,
+      "delete-collection-metadata",
+      "MATCH (c:CollectionMetadata {user: $user, collection: $collection}) DELETE c",
+      { params: { user, collection } },
+    );
+  });
+
+  return {
+    createNode,
+    createLiteral,
+    relateNode,
+    relateLiteral,
+    storeTriples,
+    deleteCollection,
+  };
+};
+
+export function makeFalkorDBTriplesStore(config: FalkorDBConfig = {}): FalkorDBTriplesStore {
+  const store = makeFalkorDBTriplesStoreEffect(config);
+  return {
+    createNode: (uri, user, collection) =>
+      Effect.runPromise(store.createNode(uri, user, collection)),
+    createLiteral: (value, user, collection) =>
+      Effect.runPromise(store.createLiteral(value, user, collection)),
+    relateNode: (src, uri, dest, user, collection) =>
+      Effect.runPromise(store.relateNode(src, uri, dest, user, collection)),
+    relateLiteral: (src, uri, dest, user, collection) =>
+      Effect.runPromise(store.relateLiteral(src, uri, dest, user, collection)),
+    storeTriples: (triples, user = "default", collection = "default") =>
+      Effect.runPromise(store.storeTriples(triples, user, collection)),
+    deleteCollection: (user, collection) =>
+      Effect.runPromise(store.deleteCollection(user, collection)),
+  };
+}
+
 export const makeFalkorDBTriplesStoreService = (
   config: FalkorDBConfig = {},
 ): FalkorDBTriplesStoreServiceShape => {
-  const store = makeFalkorDBTriplesStore(config);
+  const store = makeFalkorDBTriplesStoreEffect(config);
   return {
-    storeTriples: Effect.fn("FalkorDBTriplesStore.storeTriples")((
-      triples: ReadonlyArray<Triple>,
-      user: string,
-      collection: string,
-    ) =>
-      Effect.tryPromise({
-        try: () => store.storeTriples(Array.from(triples), user, collection),
-        catch: (cause) => falkorDBTriplesStoreError("store-triples", cause),
-      })),
-    deleteCollection: Effect.fn("FalkorDBTriplesStore.deleteCollection")((
-      user: string,
-      collection: string,
-    ) =>
-      Effect.tryPromise({
-        try: () => store.deleteCollection(user, collection),
-        catch: (cause) => falkorDBTriplesStoreError("delete-collection", cause),
-      })),
+    storeTriples: store.storeTriples,
+    deleteCollection: store.deleteCollection,
   };
 };
 

ts/packages/workbench/src/atoms/workbench.ts

@@ -2,7 +2,7 @@ import { Clipboard as BrowserClipboard } from "@effect/platform-browser";
 import * as BrowserHttpClient from "@effect/platform-browser/BrowserHttpClient";
 import * as BrowserKeyValueStore from "@effect/platform-browser/BrowserKeyValueStore";
 import { BaseApi, type ConnectionState, type DocumentMetadata, type ExplainEvent, type StreamingMetadata, type Term, type Triple } from "@trustgraph/client";
-import { Cause, Context, Data, Effect, Layer, Metric, Option, Schema as S } from "effect";
+import { Cause, Clock, Context, Effect, Layer, Metric, Option, Random, Schema as S } from "effect";
 import * as Otlp from "effect/unstable/observability/Otlp";
 import * as AsyncResult from "effect/unstable/reactivity/AsyncResult";
 import * as Atom from "effect/unstable/reactivity/Atom";
@@ -29,23 +29,31 @@ const browserObservabilityLayer = Otlp.layerJson({
   shutdownTimeout: "1 second",
 });
 
-class WorkbenchPromiseError extends Data.TaggedError("WorkbenchPromiseError")<{
-  readonly cause: unknown;
-  readonly message: string;
-}> {}
+class WorkbenchPromiseError extends S.TaggedErrorClass<WorkbenchPromiseError>()(
+  "WorkbenchPromiseError",
+  {
+    cause: S.Unknown,
+    message: S.String,
+  },
+) {}
 
 type WorkbenchError = WorkbenchPromiseError;
 
+const isWorkbenchPromiseError = S.is(WorkbenchPromiseError);
+
 function errorMessage(error: unknown): string {
-  if (error instanceof WorkbenchPromiseError) return error.message;
-  if (error instanceof Error) return error.message;
+  if (isWorkbenchPromiseError(error)) return error.message;
+  if (typeof error === "object" && error !== null && "message" in error) {
+    const message = (error as { message?: unknown }).message;
+    if (typeof message === "string") return message;
+  }
   return String(error);
 }
 
 function promiseBoundary<A>(evaluate: () => Promise<A>): Effect.Effect<A, WorkbenchPromiseError> {
   return Effect.tryPromise({
     try: evaluate,
-    catch: (cause) => new WorkbenchPromiseError({ cause, message: errorMessage(cause) }),
+    catch: (cause) => WorkbenchPromiseError.make({ cause, message: errorMessage(cause) }),
   });
 }
 
@@ -73,7 +81,7 @@ export class WorkbenchFiles extends Context.Service<
           Effect.flatMap((buffer) =>
             Effect.try({
               try: () => base64FromArrayBuffer(buffer),
-              catch: (cause) => new WorkbenchPromiseError({ cause, message: errorMessage(cause) }),
+              catch: (cause) => WorkbenchPromiseError.make({ cause, message: errorMessage(cause) }),
             })
           ),
         );
@@ -480,12 +488,12 @@ export function resultError<A, E>(result: AsyncResult.AsyncResult<A, E>): string
   return resultErrorMessage(result);
 }
 
-function nextMessageId(): string {
-  return `msg-${crypto.randomUUID()}`;
-}
-
-function nextNotificationId(): string {
-  return `notif-${crypto.randomUUID()}`;
+function randomId(prefix: string): Effect.Effect<string> {
+  return Effect.gen(function*() {
+    const left = yield* Random.nextIntBetween(0, 36 ** 6, { halfOpen: true });
+    const right = yield* Random.nextIntBetween(0, 36 ** 6, { halfOpen: true });
+    return `${prefix}-${left.toString(36).padStart(6, "0")}${right.toString(36).padStart(6, "0")}`;
+  });
 }
 
 function metadataFrom(metadata: StreamingMetadata | undefined): ChatMessage["metadata"] | undefined {
@@ -520,7 +528,7 @@ function parseConfigEntries<T>(raw: unknown, label: string): T[] {
   for (const item of mapConfigEntries(raw)) {
     const config = parseJsonUnknown(item.value);
     if (config === undefined) {
-      console.warn(`[workbench-atoms] Failed to parse ${label}: ${item.key}`);
+      Effect.runSync(Effect.logWarning(`[workbench-atoms] Failed to parse ${label}: ${item.key}`));
     } else {
       entries.push({ key: item.key, config } as T);
     }
@@ -743,7 +751,7 @@ export const clearMessagesAtom = Atom.writable(
 export const pushNotificationAtom = localCommandAtom<Omit<Notification, "id">, void>(
   "pushNotification",
   Effect.fn("trustgraph.workbench.pushNotification")(function*(input, get) {
-    const id = nextNotificationId();
+    const id = yield* randomId("notif");
     const notification: Notification = { id, ...input };
     get.set(notificationsAtom, [...get(notificationsAtom), notification]);
     yield* Effect.sleep("5 seconds");
@@ -1307,9 +1315,11 @@ const uploadDocumentChunkedEffect = Effect.fn("trustgraph.workbench.uploadDocume
       bytesUploaded: 0,
     } });
     const lib = api.librarian();
+    const documentId = yield* randomId("upload");
+    const timestamp = yield* Clock.currentTimeMillis;
     const beginResp = yield* promiseBoundary(() => lib.beginUpload({
-      id: crypto.randomUUID(),
-      time: Math.floor(Date.now() / 1000),
+      id: documentId,
+      time: Math.floor(timestamp / 1000),
       kind: input.mimeType,
       title: input.title,
       comments: input.comments,
@@ -1478,7 +1488,7 @@ export const deleteCollectionAtom = commandAtom<string, void>("deleteCollection"
 
 export const submitMessageAtom = commandAtom<{ input: string }, void>(
   "submitMessage",
-  Effect.fn("trustgraph.workbench.submitMessage")(({ input }, get, api) => Effect.sync(() => {
+  Effect.fn("trustgraph.workbench.submitMessage")(function*({ input }, get, api) {
   const trimmed = input.trim();
   if (trimmed.length === 0) return;
 
@@ -1488,7 +1498,8 @@ export const submitMessageAtom = commandAtom<{ input: string }, void>(
   const chatMode = get(conversationAtom).chatMode;
   const flow = api.flow(flowId);
   const explainEvents: ExplainEvent[] = [];
-  const requestId = crypto.randomUUID();
+  const requestId = yield* randomId("chat");
+  const timestamp = yield* Clock.currentTimeMillis;
   const isActiveRequest = () => get(activeChatRequestAtom) === requestId;
   const finishRequest = () => {
     if (isActiveRequest()) {
@@ -1498,16 +1509,16 @@ export const submitMessageAtom = commandAtom<{ input: string }, void>(
   };
 
   const userMsg: ChatMessage = {
-    id: nextMessageId(),
+    id: yield* randomId("msg"),
     role: "user",
     content: input,
-    timestamp: Date.now(),
+    timestamp,
   };
   const assistantMsg: ChatMessage = {
-    id: nextMessageId(),
+    id: yield* randomId("msg"),
     role: "assistant",
     content: "",
-    timestamp: Date.now(),
+    timestamp,
     isStreaming: true,
     ...(chatMode === "agent"
       ? {
@@ -1625,7 +1636,7 @@ export const submitMessageAtom = commandAtom<{ input: string }, void>(
       );
       break;
   }
-  })),
+  }),
 );
 
 export const cancelChatAtom = Atom.writable(

ts/packages/workbench/src/components/error-boundary.tsx

@@ -4,6 +4,7 @@ import {
   type FallbackProps,
 } from "react-error-boundary";
 import { AlertTriangle, RefreshCw } from "lucide-react";
+import { Effect } from "effect";
 
 interface Props {
   children: ReactNode;
@@ -12,7 +13,9 @@ interface Props {
 }
 
 const errorMessage = (error: unknown): string =>
-  error instanceof Error ? error.message : "An unexpected error occurred.";
+  typeof error === "object" && error !== null && "message" in error && typeof error.message === "string"
+    ? error.message
+    : "An unexpected error occurred.";
 
 function DefaultFallback({ error, resetErrorBoundary }: FallbackProps) {
   return (
@@ -42,7 +45,7 @@ export function ErrorBoundary({ children, fallback }: Props) {
     <ReactErrorBoundary
       fallbackRender={(props) => fallback ?? <DefaultFallback {...props} />}
       onError={(error, info) => {
-        console.error("[ErrorBoundary]", error, info.componentStack);
+        Effect.runSync(Effect.logError("[ErrorBoundary]", { error, componentStack: info.componentStack }));
       }}
     >
       {children}

ts/packages/workbench/src/pages/library.tsx

@@ -36,6 +36,7 @@ import {
 import { Dialog } from "@/components/ui/dialog";
 import { Badge } from "@/components/ui/badge";
 import type { DocumentMetadata } from "@trustgraph/client";
+import { DateTime } from "effect";
 
 function formatBytes(bytes: number): string {
   if (bytes === 0) return "0 B";
@@ -53,6 +54,10 @@ function guessKind(doc: DocumentMetadata): string {
   return kind.length > 0 ? kind : "--";
 }
 
+function formatUnixTimestamp(seconds: number): string {
+  return DateTime.formatLocal(DateTime.makeUnsafe(seconds * 1000));
+}
+
 function resetUploadForm(form: UploadForm): UploadForm {
   return { ...form, file: null, title: "", tags: "", comments: "", uploading: false, dragOver: false, progress: null };
 }
@@ -242,7 +247,7 @@ function DocumentDetailDialog() {
             <h3 className="mb-1 flex items-center gap-1.5 text-xs font-medium uppercase tracking-wider text-fg-subtle">
               <Clock className="h-3 w-3" /> Created
             </h3>
-            <p className="text-sm text-fg-muted">{new Date(doc.time * 1000).toLocaleString()}</p>
+            <p className="text-sm text-fg-muted">{formatUnixTimestamp(doc.time)}</p>
           </div>
         )}
         {doc.metadata !== undefined && doc.metadata.length > 0 && (

ts/packages/workbench/src/qa/mock-api.ts

@@ -1,5 +1,5 @@
 import { makeBaseApiWithRpc, type BaseApi, type DocumentMetadata, type ProcessingMetadata, type StreamingMetadata, type Triple } from "@trustgraph/client";
-import { Option, Schema as S } from "effect";
+import { Clock, Effect, Option, Schema as S } from "effect";
 
 type ConfigValues = Record<string, Record<string, unknown>>;
 
@@ -268,12 +268,13 @@ function configValues(state: MockState, type: string) {
 
 function addDocument(state: MockState, metadata: DocumentMetadata): DocumentMetadata {
   const id = metadata.id ?? `qa-doc-${state.library.documents.length + 1}`;
+  const currentTimeSeconds = Math.floor(Effect.runSync(Clock.currentTimeMillis) / 1000);
   const document = {
     ...metadata,
     id,
     title: metadata.title ?? id,
     kind: metadata.kind ?? metadata["document-type"] ?? "text/plain",
-    time: metadata.time ?? Math.floor(Date.now() / 1000),
+    time: metadata.time ?? currentTimeSeconds,
     user: metadata.user ?? state.settings.user,
     tags: metadata.tags ?? [],
   };
@@ -526,16 +527,14 @@ export function makeMockBaseApi(fixture: MockWorkbenchFixture = {}): BaseApi {
           input.flow,
         ),
       ),
-    dispatchStream: async (input, receiver) => {
-      await dispatchStream(state, input.service, (message) => {
+    dispatchStream: (input, receiver) =>
+      dispatchStream(state, input.service, (message) => {
         const chunk = message as { response?: unknown; complete?: boolean };
         return receiver({
           response: chunk.response,
           complete: chunk.complete === true,
         });
-      });
-      return undefined;
-    },
+      }).then(() => undefined),
     subscribe: (listener) => {
       listener({ status: token === undefined ? "connected" : "connected" });
       return () => {};

ts/tsconfig.base.json

@@ -38,26 +38,13 @@
     "plugins": [
       {
         "name": "@effect/language-service",
-        "namespaceImportPackages": ["effect", "@effect/*", "@beep/*"],
+        "namespaceImportPackages": ["effect", "@effect/*", "@trustgraph/*"],
         "ignoreEffectSuggestionsInTscExitCode": false,
         "ignoreEffectWarningsInTscExitCode": false,
         "ignoreEffectErrorsInTscExitCode": false,
         "includeSuggestionsInTsc": true,
         "skipDisabledOptimization": false,
         "effectFn": ["span", "inferred-span", "suggested-span"],
-        "overrides": [
-          {
-            "include": ["**/test/**/*.ts", "**/test/**/*.tsx"],
-            "options": {
-              "diagnosticSeverity": {
-                "missingEffectContext": "off",
-                "nodeBuiltinImport": "off",
-                "strictEffectProvide": "off"
-              }
-            }
-          }
-        ],
-
         "importAliases": {
           "Array": "A",
           "Option": "O",
@@ -68,39 +55,66 @@
         },
         "diagnosticSeverity": {
           "anyUnknownInErrorContext": "error",
+          "asyncFunction": "error",
           "catchAllToMapError": "error",
-          "classSelfMismatch": "error",
-          "floatingEffect": "error",
+          "catchToOrElseSucceed": "error",
           "catchUnfailableEffect": "error",
+          "classSelfMismatch": "error",
+          "cryptoRandomUUID": "error",
+          "cryptoRandomUUIDInEffect": "error",
           "deterministicKeys": "error",
           "duplicatePackage": "error",
+          "effectDoNotation": "error",
           "effectFnIife": "error",
+          "effectFnImplicitAny": "error",
           "effectFnOpportunity": "error",
           "effectGenUsesAdapter": "error",
           "effectInFailure": "error",
           "effectInVoidSuccess": "error",
+          "effectMapFlatten": "error",
           "effectMapVoid": "error",
           "effectSucceedWithVoid": "error",
           "extendsNativeError": "error",
+          "floatingEffect": "error",
           "genericEffectServices": "error",
-          "missingEffectContext": "error",
-          "missingEffectError": "error",
+          "globalConsole": "error",
+          "globalConsoleInEffect": "error",
+          "globalDate": "error",
+          "globalDateInEffect": "error",
           "globalErrorInEffectCatch": "error",
           "globalErrorInEffectFailure": "error",
-          "missingLayerContext": "error",
+          "globalFetch": "error",
+          "globalFetchInEffect": "error",
+          "globalRandom": "error",
+          "globalRandomInEffect": "error",
+          "globalTimers": "error",
+          "globalTimersInEffect": "error",
           "instanceOfSchema": "error",
-          "missingReturnYieldStar": "error",
-          "missingStarInYieldEffectGen": "error",
           "layerMergeAllWithDependencies": "error",
-          "overriddenSchemaConstructor": "error",
-
+          "lazyEffect": "error",
+          "lazyPromiseInEffectSync": "error",
           "leakingRequirements": "error",
           "missedPipeableOpportunity": "error",
+          "missingEffectContext": "error",
+          "missingEffectError": "error",
           "missingEffectServiceDependency": "error",
+          "missingLayerContext": "error",
+          "missingReturnYieldStar": "error",
+          "missingStarInYieldEffectGen": "error",
+          "multipleCatchTag": "error",
           "multipleEffectProvide": "error",
+          "nestedEffectGenYield": "error",
+          "newPromise": "error",
+          "newSchemaClass": "error",
           "nodeBuiltinImport": "error",
+          "nonObjectEffectServiceType": "error",
           "outdatedApi": "error",
+          "overriddenSchemaConstructor": "error",
           "preferSchemaOverJson": "error",
+          "processEnv": "error",
+          "processEnvInEffect": "error",
+          "redundantOrDie": "error",
+          "redundantMapError": "error",
           "redundantSchemaTagIdentifier": "error",
           "returnEffectInGen": "error",
           "runEffectInsideEffect": "error",
@@ -113,10 +127,13 @@
           "strictEffectProvide": "error",
           "tryCatchInEffectGen": "error",
           "unknownInEffectCatch": "error",
+          "unnecessaryArrowBlock": "error",
           "unnecessaryEffectGen": "error",
           "unnecessaryFailYieldableError": "error",
           "unnecessaryPipe": "error",
-          "unnecessaryPipeChain": "error"
+          "unnecessaryPipeChain": "error",
+          "unnecessaryTypeofType": "error",
+          "unsafeEffectTypeAssertion": "error"
         }
       }
     ]