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Co-Authored-By: srith@agentuity.com <rithsenghorn@gmail.com>
Co-Authored-By: srith@agentuity.com <rithsenghorn@gmail.com>
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| Status | Name | Latest Commit | Updated (UTC) |
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docs | 2e0104f | Sep 20 2025, 08:33 PM |
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WalkthroughAdds a new “agent-pulse” conversational tutorial agent: registers it in agentuity.yaml; implements request parsing/types, context/system prompt builder, tools (tutorial start, cross-agent docs query), tutorial API clients, state manager, streaming processor, and the main agent entry with OpenAI streaming orchestration. Includes a README; middleware change is whitespace-only. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
actor U as User
participant C as Client
participant A as agent-pulse (index.ts)
participant P as Request Parser
participant CTX as Prompt Builder
participant T as Tools
participant TA as Tutorial API
participant S as State Manager
participant SP as Streaming Processor
participant QA as Doc QA Agent
U->>C: User message
C->>A: HTTP request (message, history, tutorialData)
A->>P: parseAgentRequest(json)
P-->>A: ParsedAgentRequest
A->>T: createTools(context)
A->>TA: getTutorialList()
TA-->>A: tutorials / fallback
A->>CTX: buildSystemPrompt(tutorialContext)
activate A
A-->>SP: result stream handle
SP-->>C: text-delta/status chunks (SSE)
note right of SP: Streams user-safe content only
rect rgba(230,245,255,0.6)
SP->>S: handleTutorialState()
alt START_TUTORIAL_STEP
S->>TA: getTutorialStep(tutorialId, step)
TA-->>S: step data
S-->>SP: TutorialData
SP-->>C: tutorial-data chunk
else No action
S-->>SP: null
end
end
opt Tool usage
A->>T: queryOtherAgent(...)
T->>QA: forward query
QA-->>T: response JSON
T-->>A: tool result
SP-->>C: status updates
end
SP-->>C: finish
deactivate A
Estimated code review effort🎯 4 (Complex) | ⏱️ ~60 minutes Possibly related PRs
Suggested reviewers
Poem
Pre-merge checks and finishing touches❌ Failed checks (1 warning, 1 inconclusive)
✅ Passed checks (1 passed)
✨ Finishing touches
🧪 Generate unit tests
Comment |
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Actionable comments posted: 15
🧹 Nitpick comments (12)
agent-docs/src/agents/agent-pulse/README.md (1)
22-31: Doc action types don’t match implementation.Docs list
start_tutorial | next_step | previous_step | get_tutorials | none, but code definesActionType.START_TUTORIAL_STEPand processes only that in state/manager. Align docs or code to avoid confusion.agent-docs/src/agents/agent-pulse/state.ts (1)
5-10: Make Action immutable to prevent accidental mutation.Mark fields as readonly; avoids subtle state bugs.
Apply this diff:
-interface Action { - type: ActionType; - tutorialId: string; - currentStep: number; - totalSteps: number; -} +interface Action { + readonly type: ActionType; + readonly tutorialId: string; + readonly currentStep: number; + readonly totalSteps: number; +}agent-docs/src/agents/agent-pulse/tools.ts (2)
56-58: Typo: “nong-tutorial” → “non-tutorial”- * Tool for talking to other agents (nong-tutorial functionality) + * Tool for talking to other agents (non-tutorial functionality)
24-31: Minor: use local var consistently and simplify- const data = tutorialResponse.data - const totalSteps = tutorialResponse.data.totalSteps; + const data = tutorialResponse.data; + const totalSteps = data.totalSteps; if (stepNumber > totalSteps) { return `This tutorial only has ${totalSteps} steps. You either reached the end of the tutorial or selected an incorrect step number.`; } state.setAction({ type: ActionType.START_TUTORIAL_STEP, - tutorialId: tutorialId, + tutorialId, currentStep: stepNumber, - totalSteps: tutorialResponse.data.totalSteps + totalSteps }); agentContext.logger.info("Added start_tutorial action to state for: %s at step %d", tutorialId, stepNumber); - return `Starting "${data.title}". Total steps: ${data.totalSteps} \n\n Description: ${data.description}`; + return `Starting "${data.title}". Total steps: ${totalSteps} \n\n Description: ${data.description}`;Also applies to: 44-51
agent-docs/src/agents/agent-pulse/index.ts (3)
10-11: Drop unused ConversationMessage import-import type { ConversationMessage, TutorialState } from "./request/types"; +import type { TutorialState } from "./request/types";
96-99: Remove trivially inferrable type annotation- let systemPrompt: string = ""; + let systemPrompt = "";
34-41: Avoid leaking raw IDs in context (prompt hygiene)The block embeds full tutorial JSON including IDs while telling the model not to expose them. Consider pruning to title/description/step counts to reduce leakage risk.
- const tutorialContent = JSON.stringify(tutorials.data, null, 2); + const tutorialContent = JSON.stringify( + tutorials.data.map(t => ({ title: t.title, description: t.description, totalSteps: t.totalSteps })), + null, 2 + );agent-docs/src/agents/agent-pulse/streaming/types.ts (2)
21-31: Redundant totalSteps (top-level and inside tutorialStep)Duplication invites drift. Keep one canonical field or assert consistency.
12-19: Type duplication with other modulesTutorialSnippet is also declared in tutorial.ts and app/chat/types. Prefer a single shared type (or zod schema) to avoid mismatch.
agent-docs/src/agents/agent-pulse/tutorial.ts (3)
37-57: Align error-handling strategy (throw vs ApiResponse error)getTutorialList throws on API error; getTutorialMeta returns { success:false }. Pick one approach for consistency; callers currently expect both patterns.
I can refactor to consistently return ApiResponse without throwing (and let callers handle), or consistently throw on transport/protocol errors. Preference?
Also applies to: 60-79
60-75: Avoid N+1 list-fetch for single metaFetching all tutorials to find one may be wasteful. If the API supports GET /api/tutorials/:id, prefer it.
37-54: Minor: logging payload may contain large arraysConsider logging counts/ids rather than full bodies to keep logs lean.
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (13)
agent-docs/agentuity.yaml(1 hunks)agent-docs/src/agents/agent-pulse/README.md(1 hunks)agent-docs/src/agents/agent-pulse/context/builder.ts(1 hunks)agent-docs/src/agents/agent-pulse/index.ts(1 hunks)agent-docs/src/agents/agent-pulse/request/parser.ts(1 hunks)agent-docs/src/agents/agent-pulse/request/types.ts(1 hunks)agent-docs/src/agents/agent-pulse/state.ts(1 hunks)agent-docs/src/agents/agent-pulse/state/manager.ts(1 hunks)agent-docs/src/agents/agent-pulse/streaming/processor.ts(1 hunks)agent-docs/src/agents/agent-pulse/streaming/types.ts(1 hunks)agent-docs/src/agents/agent-pulse/tools.ts(1 hunks)agent-docs/src/agents/agent-pulse/tutorial.ts(1 hunks)middleware.ts(1 hunks)
🧰 Additional context used
📓 Path-based instructions (3)
agent-docs/**/agentuity.yaml
📄 CodeRabbit inference engine (agent-docs/.cursor/rules/agentuity.mdc)
Do not suggest edits to the Agentuity AI Configuration file (agentuity.yaml)
Files:
agent-docs/agentuity.yaml
agent-docs/src/agents/**/*.ts
📄 CodeRabbit inference engine (agent-docs/.cursor/rules/sdk.mdc)
agent-docs/src/agents/**/*.ts: Use TypeScript for better type safety and IDE support
Import types from '@agentuity/sdk'
Use structured error handling with try/catch blocks
Leverage the provided logger for consistent logging
Use the storage APIs for persisting data
Consider agent communication for complex workflows
Files:
agent-docs/src/agents/agent-pulse/request/types.tsagent-docs/src/agents/agent-pulse/streaming/types.tsagent-docs/src/agents/agent-pulse/streaming/processor.tsagent-docs/src/agents/agent-pulse/state.tsagent-docs/src/agents/agent-pulse/request/parser.tsagent-docs/src/agents/agent-pulse/index.tsagent-docs/src/agents/agent-pulse/tools.tsagent-docs/src/agents/agent-pulse/context/builder.tsagent-docs/src/agents/agent-pulse/tutorial.tsagent-docs/src/agents/agent-pulse/state/manager.ts
agent-docs/**/src/agents/**/index.ts
📄 CodeRabbit inference engine (agent-docs/.cursor/rules/agent.mdc)
agent-docs/**/src/agents/**/index.ts: Prefer loading types from the node modules package@agentuity/sdkin the node_modules folder
The file should export a default function
Prefer naming the default function Agent or the name of the Agent based on the context of the Agent description
All code should be in Typescript format
Use the provided logger from theAgentContextinterface such asctx.logger.info("my message: %s", "hello")
Files:
agent-docs/src/agents/agent-pulse/index.ts
🧠 Learnings (4)
📚 Learning: 2025-09-10T14:24:52.800Z
Learnt from: afterrburn
PR: agentuity/docs#279
File: agent-docs/src/agents/agent-pulse/types.ts:2-7
Timestamp: 2025-09-10T14:24:52.800Z
Learning: The Agentuity SDK (agentuity/sdk) only exports specific types: AgentRequest, AgentResponse, AgentContext, and VectorUpsertParams. It does not export general message types like ConversationMessage or ChatMessage.
Applied to files:
agent-docs/src/agents/agent-pulse/request/types.tsagent-docs/src/agents/agent-pulse/index.ts
📚 Learning: 2025-07-23T12:40:34.834Z
Learnt from: CR
PR: agentuity/docs#0
File: agent-docs/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-07-23T12:40:34.834Z
Learning: Applies to agent-docs/src/agents/**/*.ts : Consider agent communication for complex workflows
Applied to files:
agent-docs/src/agents/agent-pulse/state.ts
📚 Learning: 2025-07-23T12:40:34.834Z
Learnt from: CR
PR: agentuity/docs#0
File: agent-docs/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-07-23T12:40:34.834Z
Learning: Applies to agent-docs/src/agents/**/*.ts : Use TypeScript for better type safety and IDE support
Applied to files:
agent-docs/src/agents/agent-pulse/tools.tsagent-docs/src/agents/agent-pulse/tutorial.ts
📚 Learning: 2025-07-23T12:40:34.834Z
Learnt from: CR
PR: agentuity/docs#0
File: agent-docs/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-07-23T12:40:34.834Z
Learning: Applies to agent-docs/src/agents/**/*.ts : Import types from 'agentuity/sdk'
Applied to files:
agent-docs/src/agents/agent-pulse/tutorial.ts
🧬 Code graph analysis (8)
agent-docs/src/agents/agent-pulse/request/types.ts (1)
lib/tutorial/types.ts (1)
TutorialState(20-23)
agent-docs/src/agents/agent-pulse/streaming/types.ts (1)
app/chat/types.ts (3)
TutorialSnippet(12-12)TutorialData(27-27)StreamingChunk(84-84)
agent-docs/src/agents/agent-pulse/streaming/processor.ts (3)
agent-docs/src/agents/agent-pulse/state/manager.ts (1)
handleTutorialState(6-54)agent-docs/src/agents/agent-pulse/streaming/types.ts (1)
StreamingChunk(48-48)app/chat/types.ts (1)
StreamingChunk(84-84)
agent-docs/src/agents/agent-pulse/request/parser.ts (1)
agent-docs/src/agents/agent-pulse/request/types.ts (1)
ParsedAgentRequest(11-16)
agent-docs/src/agents/agent-pulse/index.ts (8)
agent-docs/src/agents/agent-pulse/request/types.ts (2)
TutorialState(6-9)ConversationMessage(1-4)agent-docs/src/agents/agent-pulse/tutorial.ts (2)
getTutorialList(37-58)Tutorial(5-10)lib/tutorial/tutorial-reader.ts (1)
Tutorial(26-32)agent-docs/src/agents/agent-pulse/request/parser.ts (1)
parseAgentRequest(4-49)agent-docs/src/agents/agent-pulse/state.ts (1)
createAgentState(41-43)agent-docs/src/agents/agent-pulse/tools.ts (1)
createTools(19-101)agent-docs/src/agents/agent-pulse/context/builder.ts (1)
buildSystemPrompt(3-54)agent-docs/src/agents/agent-pulse/streaming/processor.ts (1)
createStreamingProcessor(6-57)
agent-docs/src/agents/agent-pulse/tools.ts (2)
agent-docs/src/agents/agent-pulse/state.ts (2)
AgentState(45-45)ActionType(46-46)agent-docs/src/agents/agent-pulse/tutorial.ts (1)
getTutorialMeta(60-79)
agent-docs/src/agents/agent-pulse/tutorial.ts (2)
lib/tutorial/tutorial-reader.ts (1)
Tutorial(26-32)agent-docs/src/agents/agent-pulse/streaming/types.ts (1)
TutorialSnippet(12-19)
agent-docs/src/agents/agent-pulse/state/manager.ts (4)
agent-docs/src/agents/agent-pulse/state.ts (2)
AgentState(45-45)ActionType(46-46)agent-docs/src/agents/agent-pulse/streaming/types.ts (1)
TutorialData(21-31)app/chat/types.ts (1)
TutorialData(27-27)agent-docs/src/agents/agent-pulse/tutorial.ts (1)
getTutorialStep(81-98)
🪛 Biome (2.1.2)
agent-docs/src/agents/agent-pulse/streaming/processor.ts
[error] 68-68: Assigning a function parameter is confusing.
The parameter is declared here:
Developers usually expect function parameters to be readonly. To align with this expectation, use a local variable instead.
(lint/style/noParameterAssign)
agent-docs/src/agents/agent-pulse/request/parser.ts
[error] 9-9: This type annotation is trivially inferred from its initialization.
Safe fix: Remove the type annotation.
(lint/style/noInferrableTypes)
agent-docs/src/agents/agent-pulse/index.ts
[error] 97-97: This type annotation is trivially inferred from its initialization.
Safe fix: Remove the type annotation.
(lint/style/noInferrableTypes)
agent-docs/src/agents/agent-pulse/tools.ts
[error] 36-36: Do not use template literals if interpolation and special-character handling are not needed.
Safe fix: Replace with string literal
(lint/style/noUnusedTemplateLiteral)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
- GitHub Check: Workers Builds: docs
🔇 Additional comments (4)
middleware.ts (1)
48-48: Confirmed whitespace-only change — no functional impact. LGTM. git -w diff vs origin/main showed no non-whitespace differences for middleware.ts; file appears in the changed-files list. Safe to merge if CI passes.agent-docs/src/agents/agent-pulse/request/types.ts (1)
6-9: Replace duplicate TutorialState with shared import.Confirmed lib/tutorial/types.ts exports TutorialState; import it to prevent drift.
-export interface TutorialState { - tutorialId: string; - currentStep: number; -} +import type { TutorialState } from "../../../../../lib/tutorial/types";agent-docs/src/agents/agent-pulse/index.ts (1)
79-143: Sanity-check: tool availability when useDirectLLM=falseIf createTools fails, we should fail fast with a 503 to avoid empty tools and a confusing chat.
Would you like me to add a guard that returns a 503 when tool initialization throws?
agent-docs/src/agents/agent-pulse/streaming/types.ts (1)
48-48: LGTM on discriminated union for streaming chunks
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| - id: agent_ddcb59aa4473f1323be5d9f5fb62b74e | ||
| name: agent-pulse | ||
| description: Agentuity web app agent that converses with users for generate conversation and structured docs tutorials. |
There was a problem hiding this comment.
🧩 Analysis chain
Agent entry looks fine; verify it’s wired.
Confirm this agent id/name are referenced by any launcher/routes and that CI bundling includes this agent.
🏁 Script executed:
#!/bin/bash
# Verify references to agent id/name and bundling
rg -nC2 -e 'agent-pulse' -e 'agent_ddcb59aa4473f1323be5d9f5fb62b74e'
# Confirm tsconfig/bundler includes src/agents
fd tsconfig.json -x cat {} | sed -n '1,200p'Length of output: 1688
Agent declared but not wired or bundled — action required.
agent-docs/agentuity.yaml (lines 81–83) defines agent_ddcb59aa4473f1323be5d9f5fb62b74e / agent-pulse; ripgrep found no other references and root tsconfig.json excludes "agent-docs", so CI/build will not include it.
- Wire the agent: add launcher/routes references to this agent id/name.
- Include in build: move agent sources into an included path (e.g., src/agents) or update tsconfig/CI to stop excluding agent-docs.
Comment on lines
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| When user is asking to move to the next tutorial, simply increment the step for them. | ||
There was a problem hiding this comment.
Avoid chain‑of‑thought leakage; add bounds guidance.
- Don’t instruct the model to “stream reasoning steps.”
- Be explicit about step bounds (1..totalSteps) when incrementing.
Apply this diff:
-When user is asking to move to the next tutorial, simply increment the step for them.
+When the user asks to go to the next tutorial step, increment the step by 1 within [1..totalSteps]. If already at the last step, confirm whether to finish or review.
-=== TOOL-USAGE RULES (must follow) ===
+=== TOOL-USAGE RULES (must follow) ===
- startTutorialById must only be used when user select a tutorial. If the user starts a new tutorial, the step number should be set to one. Valid step is between 1 and totalSteps of the specific tutorial.
- Treat askDocsAgentTool as a search helper; ignore results you judge irrelevant.
+ - Never reveal internal chain-of-thought; provide final answers and concise reasoning only when asked.
-Stream your reasoning steps clearly.
+Do not reveal your internal reasoning process; output user-facing content only.Also applies to: 26-28, 46-46
🤖 Prompt for AI Agents
In agent-docs/src/agents/agent-pulse/context/builder.ts around lines 10-11 (also
apply same changes at 26-28 and 46), the handler for "move to the next tutorial"
currently may prompt chain‑of‑thought style reasoning and lacks explicit bounds
for steps; change the instruction so it does not ask the model to stream or show
internal reasoning and instead clearly says "increment the current step by 1"
and enforce bounds by clamping the result to the inclusive range [1, totalSteps]
(i.e., newStep = max(1, min(totalSteps, currentStep + 1))) and return only the
updated step value. Ensure the wording sent to the model is concise, forbids
revealing internal chain-of-thought, and includes the exact numeric bounds
1..totalSteps.
Comment on lines
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| === Available Tools or Functions === | ||
| You have access to various tools you can use -- use when appropriate! | ||
| 1. Tutorial management | ||
| - startTutorialAtStep: Starting the user off at a specific step of a tutorial. | ||
| 2. General assistance | ||
| - askDocsAgentTool: retrieve Agentuity documentation snippets | ||
| === TOOL-USAGE RULES (must follow) === | ||
| - startTutorialById must only be used when user select a tutorial. If the user starts a new tutorial, the step number should be set to one. Valid step is between 1 and totalSteps of the specific tutorial. | ||
| - Treat askDocsAgentTool as a search helper; ignore results you judge irrelevant. | ||
There was a problem hiding this comment.
Tool name mismatches will confuse the model.
Prompt lists startTutorialAtStep and askDocsAgentTool, while other modules refer to startTutorialById and queryOtherAgent. Unify names in the system prompt.
Apply this diff:
-1. Tutorial management
- - startTutorialAtStep: Starting the user off at a specific step of a tutorial.
-2. General assistance
- - askDocsAgentTool: retrieve Agentuity documentation snippets
+1. Tutorial management
+ - startTutorialById: Start a tutorial at a specific step (defaults to step 1).
+2. General assistance
+ - queryOtherAgent: Retrieve Agentuity documentation snippets📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| === Available Tools or Functions === | |
| You have access to various tools you can use -- use when appropriate! | |
| 1. Tutorial management | |
| - startTutorialAtStep: Starting the user off at a specific step of a tutorial. | |
| 2. General assistance | |
| - askDocsAgentTool: retrieve Agentuity documentation snippets | |
| === TOOL-USAGE RULES (must follow) === | |
| - startTutorialById must only be used when user select a tutorial. If the user starts a new tutorial, the step number should be set to one. Valid step is between 1 and totalSteps of the specific tutorial. | |
| - Treat askDocsAgentTool as a search helper; ignore results you judge irrelevant. | |
| === Available Tools or Functions === | |
| You have access to various tools you can use -- use when appropriate! | |
| 1. Tutorial management | |
| - startTutorialById: Start a tutorial at a specific step (defaults to step 1). | |
| 2. General assistance | |
| - queryOtherAgent: Retrieve Agentuity documentation snippets | |
| === TOOL-USAGE RULES (must follow) === | |
| - startTutorialById must only be used when user select a tutorial. If the user starts a new tutorial, the step number should be set to one. Valid step is between 1 and totalSteps of the specific tutorial. | |
| - Treat askDocsAgentTool as a search helper; ignore results you judge irrelevant. |
🤖 Prompt for AI Agents
In agent-docs/src/agents/agent-pulse/context/builder.ts around lines 18 to 28,
the prompt defines tool names startTutorialAtStep and askDocsAgentTool which
conflict with other modules that expect startTutorialById and queryOtherAgent;
update the prompt to use the canonical names (startTutorialById and
queryOtherAgent) and adjust the TOOL-USAGE RULES accordingly (e.g., ensure the
rule about starting tutorials references startTutorialById and its step
constraints and treat queryOtherAgent as the search helper), or alternatively
rename references in other modules to match this file—pick one consistent naming
choice across the codebase and apply it here so tool names and rules are
identical with the rest of the system.
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| // Build messages for the conversation | ||
| const messages: ConversationMessage[] = [ | ||
| ...parsedRequest.conversationHistory, | ||
| { author: "USER", content: parsedRequest.message }, | ||
| ]; | ||
|
|
There was a problem hiding this comment.
Conversation history is mapped incorrectly (assistant/user roles flipped)
parseAgentRequest emits items with role (or sometimes author). Checking msg.author will be undefined for history, mapping them to assistant.
- // Build messages for the conversation
- const messages: ConversationMessage[] = [
- ...parsedRequest.conversationHistory,
- { author: "USER", content: parsedRequest.message },
- ];
+ // Normalize to OpenAI messages
+ const llmMessages = [
+ ...parsedRequest.conversationHistory.map((msg: any) => {
+ const src = (msg.role ?? msg.author ?? "USER").toString().toLowerCase();
+ const role = src.startsWith("user") ? "user" : "assistant";
+ return { role, content: msg.content ?? "" };
+ }),
+ { role: "user", content: parsedRequest.message },
+ ];
...
- messages: messages.map((msg) => ({
- role: msg.author === "USER" ? "user" : "assistant",
- content: msg.content,
- })),
+ messages: llmMessages,Also applies to: 114-121
🤖 Prompt for AI Agents
In agent-docs/src/agents/agent-pulse/index.ts around lines 90-95 (and likewise
at 114-121) the conversation history is using msg.author which is undefined
because parseAgentRequest emits items with role (or sometimes author); update
the mapping to read msg.role first and fall back to msg.author, then normalize
role values to the ConversationMessage.author enum (e.g., map "user" -> "USER",
"assistant" -> "ASSISTANT", handle casing), so history entries use the correct
USER/ASSISTANT author values instead of being flipped or undefined.
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| let message: string = ""; | ||
| let conversationHistory: any[] = []; | ||
| let tutorialData: any = undefined; | ||
| let useDirectLLM = false; | ||
|
|
There was a problem hiding this comment.
🧩 Analysis chain
Type/shape mismatch and over-logging of request data.
- Parser emits
{ role, content }, butConversationMessageexpects{ author, content }. This will break downstream typing/logic. - Remove trivially inferrable type annotations.
- Avoid logging raw request payloads; log minimal metadata.
Apply this diff:
-import type { ParsedAgentRequest } from "./types";
+import type { ParsedAgentRequest, ConversationMessage, TutorialState } from "./types";
- let message: string = "";
- let conversationHistory: any[] = [];
- let tutorialData: any = undefined;
+ let message = "";
+ let conversationHistory: ConversationMessage[] = [];
+ let tutorialData: TutorialState | undefined = undefined;
let useDirectLLM = false;
@@
- if (Array.isArray(body.conversationHistory)) {
- conversationHistory = body.conversationHistory.map((msg: any) => {
- // Extract only role and content
- return {
- role: msg.role || (msg.author ? msg.author.toUpperCase() : "USER"),
- content: msg.content || "",
- };
- });
- }
+ if (Array.isArray(body.conversationHistory)) {
+ conversationHistory = body.conversationHistory.flatMap((msg: any): ConversationMessage[] => {
+ const roleRaw = (msg.role ?? msg.author ?? "USER").toString().toUpperCase();
+ const author: ConversationMessage["author"] = roleRaw === "ASSISTANT" ? "ASSISTANT" : "USER";
+ const content = typeof msg.content === "string" ? msg.content : "";
+ return content ? [{ author, content }] : [];
+ });
+ }
@@
- ctx.logger.debug("Raw request data: %s", JSON.stringify(jsonData));
+ // Avoid logging raw payloads to reduce PII risk.
+ try {
+ const meta =
+ jsonData && typeof jsonData === "object" && !Array.isArray(jsonData)
+ ? { keys: Object.keys(jsonData).slice(0, 12) }
+ : { type: typeof jsonData };
+ ctx.logger.debug("Request meta: %s", JSON.stringify(meta));
+ } catch {
+ /* ignore logging meta errors */
+ }Also applies to: 20-26, 41-47
🏁 Script executed:
#!/bin/bash
# Verify no remaining 'role' keys in conversation history shapes
rg -n -C1 '\bconversationHistory\b' --type=ts
rg -nP '\bauthor\s*:' agent-docs/src/agents/agent-pulse --type=tsLength of output: 2350
Fix ConversationMessage shape & stop logging raw payloads
Parser still emits { role, content }, keeps needless primitive annotations, and logs the raw request — this breaks downstream typing and risks leaking PII. Apply the patch below to use ConversationMessage/TutorialState, map to author properly, and replace raw JSON logging with a small request meta.
File: agent-docs/src/agents/agent-pulse/request/parser.ts
-import type { ParsedAgentRequest } from "./types";
+import type { ParsedAgentRequest, ConversationMessage, TutorialState } from "./types";
- let message: string = "";
- let conversationHistory: any[] = [];
- let tutorialData: any = undefined;
+ let message = "";
+ let conversationHistory: ConversationMessage[] = [];
+ let tutorialData: TutorialState | undefined = undefined;
let useDirectLLM = false;
@@
- if (Array.isArray(body.conversationHistory)) {
- conversationHistory = body.conversationHistory.map((msg: any) => {
- // Extract only role and content
- return {
- role: msg.role || (msg.author ? msg.author.toUpperCase() : "USER"),
- content: msg.content || "",
- };
- });
- }
+ if (Array.isArray(body.conversationHistory)) {
+ conversationHistory = body.conversationHistory.flatMap((msg: any): ConversationMessage[] => {
+ const roleRaw = (msg.role ?? msg.author ?? "USER").toString().toUpperCase();
+ const author: ConversationMessage["author"] = roleRaw === "ASSISTANT" ? "ASSISTANT" : "USER";
+ const content = typeof msg.content === "string" ? msg.content : "";
+ return content ? [{ author, content }] : [];
+ });
+ }
@@
- ctx.logger.debug("Raw request data: %s", JSON.stringify(jsonData));
+ // Avoid logging raw payloads to reduce PII risk.
+ try {
+ const meta =
+ jsonData && typeof jsonData === "object" && !Array.isArray(jsonData)
+ ? { keys: Object.keys(jsonData).slice(0, 12) }
+ : { type: typeof jsonData };
+ ctx.logger.debug("Request meta: %s", JSON.stringify(meta));
+ } catch {
+ /* ignore logging meta errors */
+ }📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| let message: string = ""; | |
| let conversationHistory: any[] = []; | |
| let tutorialData: any = undefined; | |
| let useDirectLLM = false; | |
| let message = ""; | |
| let conversationHistory: ConversationMessage[] = []; | |
| let tutorialData: TutorialState | undefined = undefined; | |
| let useDirectLLM = false; |
🧰 Tools
🪛 Biome (2.1.2)
[error] 9-9: This type annotation is trivially inferred from its initialization.
Safe fix: Remove the type annotation.
(lint/style/noInferrableTypes)
Comment on lines
+59
to
+77
| const askDocsAgentTool = tool({ | ||
| description: "Query the Agentuity Development Documentation agent using RAG (Retrieval Augmented Generation) to get relevant documentation and answers about the Agentuity platform, APIs, and development concepts", | ||
| parameters: z.object({ | ||
| query: z.string().describe("The question or query to send to the query function"), | ||
| }), | ||
| execute: async ({ query }) => { | ||
| agentContext.logger.info("Querying agent %s with: %s", DOC_QA_AGENT_NAME, query); | ||
| const agentPayload = { | ||
| message: query, | ||
|
|
||
| } | ||
| const response = await docQaAgent.run({ | ||
| data: agentPayload, | ||
| contentType: 'application/json' | ||
| }) | ||
| // TODO: handle the docs referencing and inject it to the frontend response | ||
| const responseData = await response.data.json(); | ||
| return responseData; | ||
| }, |
There was a problem hiding this comment.
Guard missing docs agent; add try/catch around docQaAgent.run
Without a check, run() may throw or be undefined.
execute: async ({ query }) => {
agentContext.logger.info("Querying agent %s with: %s", DOC_QA_AGENT_NAME, query);
- const agentPayload = {
+ if (!docQaAgent?.run) {
+ agentContext.logger.error("Agent %s not available", DOC_QA_AGENT_NAME);
+ return { error: "Documentation agent is unavailable. Please try again later." };
+ }
+ const agentPayload = {
message: query,
}
- const response = await docQaAgent.run({
- data: agentPayload,
- contentType: 'application/json'
- })
+ let response;
+ try {
+ response = await docQaAgent.run({
+ data: agentPayload,
+ contentType: 'application/json'
+ });
+ } catch (err) {
+ agentContext.logger.error("Doc QA agent call failed: %s", err);
+ return { error: "Failed to query documentation agent." };
+ }📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| const askDocsAgentTool = tool({ | |
| description: "Query the Agentuity Development Documentation agent using RAG (Retrieval Augmented Generation) to get relevant documentation and answers about the Agentuity platform, APIs, and development concepts", | |
| parameters: z.object({ | |
| query: z.string().describe("The question or query to send to the query function"), | |
| }), | |
| execute: async ({ query }) => { | |
| agentContext.logger.info("Querying agent %s with: %s", DOC_QA_AGENT_NAME, query); | |
| const agentPayload = { | |
| message: query, | |
| } | |
| const response = await docQaAgent.run({ | |
| data: agentPayload, | |
| contentType: 'application/json' | |
| }) | |
| // TODO: handle the docs referencing and inject it to the frontend response | |
| const responseData = await response.data.json(); | |
| return responseData; | |
| }, | |
| const askDocsAgentTool = tool({ | |
| description: "Query the Agentuity Development Documentation agent using RAG (Retrieval Augmented Generation) to get relevant documentation and answers about the Agentuity platform, APIs, and development concepts", | |
| parameters: z.object({ | |
| query: z.string().describe("The question or query to send to the query function"), | |
| }), | |
| execute: async ({ query }) => { | |
| agentContext.logger.info("Querying agent %s with: %s", DOC_QA_AGENT_NAME, query); | |
| if (!docQaAgent?.run) { | |
| agentContext.logger.error("Agent %s not available", DOC_QA_AGENT_NAME); | |
| return { error: "Documentation agent is unavailable. Please try again later." }; | |
| } | |
| const agentPayload = { | |
| message: query, | |
| } | |
| let response; | |
| try { | |
| response = await docQaAgent.run({ | |
| data: agentPayload, | |
| contentType: 'application/json' | |
| }); | |
| } catch (err) { | |
| agentContext.logger.error("Doc QA agent call failed: %s", err); | |
| return { error: "Failed to query documentation agent." }; | |
| } | |
| // TODO: handle the docs referencing and inject it to the frontend response | |
| const responseData = await response.data.json(); | |
| return responseData; | |
| }, |
🤖 Prompt for AI Agents
In agent-docs/src/agents/agent-pulse/tools.ts around lines 59 to 77, the code
calls docQaAgent.run() without guarding for docQaAgent being defined and without
catching runtime errors; wrap the call in a try/catch and first assert
docQaAgent exists (if undefined, log and return/throw a clear error), then await
docQaAgent.run(...) inside the try block, catch any errors (log error with
context and agent name) and return or throw a structured error response, and
also guard the response.data.json() call with error handling to avoid unhandled
promise rejections.
Comment on lines
+96
to
+100
| // Return tools object | ||
| return { | ||
| startTutorialById: startTutorialAtStep, | ||
| queryOtherAgent: askDocsAgentTool, | ||
| }; |
There was a problem hiding this comment.
Tool name mismatch breaks tool calls from the system prompt
The prompt references startTutorialAtStep and askDocsAgentTool, but you export startTutorialById and queryOtherAgent. The LLM won’t be able to call the intended tools.
Apply:
- return {
- startTutorialById: startTutorialAtStep,
- queryOtherAgent: askDocsAgentTool,
- };
+ return {
+ startTutorialAtStep,
+ askDocsAgentTool,
+ };📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| // Return tools object | |
| return { | |
| startTutorialById: startTutorialAtStep, | |
| queryOtherAgent: askDocsAgentTool, | |
| }; | |
| // Return tools object | |
| return { | |
| startTutorialAtStep, | |
| askDocsAgentTool, | |
| }; |
🤖 Prompt for AI Agents
In agent-docs/src/agents/agent-pulse/tools.ts around lines 96 to 100, the
returned tools object exports keys startTutorialById and queryOtherAgent while
the system prompt expects startTutorialAtStep and askDocsAgentTool; update the
returned object so the exported property names exactly match the prompt (either
rename the keys to startTutorialAtStep: startTutorialAtStep and
askDocsAgentTool: askDocsAgentTool, or map the existing functions to those
expected names, e.g. startTutorialAtStep: startTutorialAtStepFunction,
askDocsAgentTool: askDocsAgentToolFunction) so the LLM can invoke the correct
tools.
Comment on lines
+1
to
+98
| import type { AgentContext } from '@agentuity/sdk'; | ||
|
|
||
| const TUTORIAL_API_BASE_URL = process.env.TUTORIAL_API_URL; | ||
|
|
||
| export interface Tutorial { | ||
| id: string; | ||
| title: string; | ||
| description: string; | ||
| totalSteps: number; | ||
| } | ||
|
|
||
| interface ApiResponse<T> { | ||
| success: boolean; | ||
| data?: T; | ||
| error?: string; | ||
| status?: number; | ||
| } | ||
|
|
||
| export interface TutorialSnippet { | ||
| path: string; | ||
| lang?: string; | ||
| from?: number; | ||
| to?: number; | ||
| title?: string; | ||
| content: string; | ||
| } | ||
|
|
||
| interface TutorialStepResponseData { | ||
| tutorialId: string; | ||
| stepNumber: number; | ||
| slug: string; | ||
| meta: Record<string, unknown>; | ||
| mdx: string; | ||
| snippets: TutorialSnippet[]; | ||
| } | ||
|
|
||
| export async function getTutorialList(ctx: AgentContext): Promise<ApiResponse<Tutorial[]>> { | ||
| try { | ||
| const response = await fetch(`${TUTORIAL_API_BASE_URL}/api/tutorials`); | ||
|
|
||
| if (!response.ok) { | ||
| const error = await response.json(); | ||
| ctx.logger.error('Tutorial API error: %s', error); | ||
| throw new Error(`Tutorial API error: ${JSON.stringify(error)}`); | ||
| } | ||
|
|
||
| const tutorials = await response.json() as Tutorial[]; | ||
| ctx.logger.info('Fetched %d tutorials', tutorials.length); | ||
|
|
||
| return { | ||
| success: true, | ||
| data: tutorials | ||
| }; | ||
| } catch (error) { | ||
| ctx.logger.error('Error fetching tutorial list: %s', error); | ||
| throw error; | ||
| } | ||
| } | ||
|
|
||
| export async function getTutorialMeta(tutorialId: string, ctx: AgentContext): Promise<ApiResponse<Tutorial>> { | ||
| try { | ||
| // New behavior: fetch all, then find by id | ||
| const response = await fetch(`${TUTORIAL_API_BASE_URL}/api/tutorials`); | ||
| if (!response.ok) { | ||
| const error = `Failed to fetch tutorial list: ${response.statusText}`; | ||
| ctx.logger.error(error); | ||
| return { success: false, status: response.status, error: response.statusText }; | ||
| } | ||
| const tutorials = (await response.json()) as Tutorial[]; | ||
| const found = tutorials.find(t => t.id === tutorialId); | ||
| if (!found) { | ||
| return { success: false, status: 404, error: 'Tutorial not found' }; | ||
| } | ||
| return { success: true, data: found }; | ||
| } catch (error) { | ||
| ctx.logger.error('Error fetching tutorial metadata for %s: %s', tutorialId, error); | ||
| throw error; | ||
| } | ||
| } | ||
|
|
||
| export async function getTutorialStep(tutorialId: string, stepNumber: number, ctx: AgentContext): Promise<ApiResponse<TutorialStepResponseData>> { | ||
| try { | ||
| const response = await fetch(`${TUTORIAL_API_BASE_URL}/api/tutorials/${tutorialId}/steps/${stepNumber}`); | ||
|
|
||
| if (!response.ok) { | ||
| ctx.logger.error('Failed to fetch tutorial step %d for tutorial %s: %s', stepNumber, tutorialId, response.statusText); | ||
| return { success: false, status: response.status, error: response.statusText }; | ||
| } | ||
|
|
||
| const responseData = await response.json(); | ||
| ctx.logger.info('Fetched step %d for tutorial %s', stepNumber, tutorialId); | ||
|
|
||
| return responseData as ApiResponse<TutorialStepResponseData>; | ||
| } catch (error) { | ||
| ctx.logger.error('Error fetching tutorial step %d for tutorial %s: %s', stepNumber, tutorialId, error); | ||
| throw error; | ||
| } | ||
| } No newline at end of file |
There was a problem hiding this comment.
🛠️ Refactor suggestion
🧩 Analysis chain
Verify env usage and API shape
🏁 Script executed:
#!/bin/bash
# Check for other references to TUTORIAL_API_URL and tutorial endpoints
rg -n "TUTORIAL_API_URL|/api/tutorials" -S -C2 --glob '!**/node_modules/**'Length of output: 148
🏁 Script executed:
#!/bin/bash
set -euo pipefail
echo "PWD: $(pwd)"
echo "Top-level files (first 200 lines):"
ls -la | sed -n '1,200p' || true
echo
echo "rg version:"
rg --version || true
echo
echo "Searching (unrestricted) for TUTORIAL_API_URL / TUTORIAL_API_BASE_URL / /api/tutorials / getTutorial* / process.env.TUTORIAL_API_URL ..."
rg -n -uu -S -C2 "TUTORIAL_API_URL|TUTORIAL_API_BASE_URL|/api/tutorials|getTutorialList|getTutorialMeta|getTutorialStep|process.env.TUTORIAL_API_URL" || true
echo
echo "Finding any tutorial.ts files and printing their first 200 lines:"
find . -type f -name 'tutorial.ts' -print -exec sed -n '1,200p' {} \; || true
echo
echo "Listing agent-docs directory if present:"
ls -la agent-docs || true
echo
echo "Listing .env* files if present:"
ls -la .env* || trueLength of output: 11533
🏁 Script executed:
#!/bin/bash
set -euo pipefail
echo "=== .env.example ==="
sed -n '1,200p' .env.example || true
echo
echo "=== agent-docs/src/agents/agent-pulse/index.ts ==="
sed -n '1,240p' agent-docs/src/agents/agent-pulse/index.ts || true
echo
echo "=== agent-docs/src/agents/agent-pulse/tools.ts ==="
sed -n '1,240p' agent-docs/src/agents/agent-pulse/tools.ts || true
echo
echo "=== agent-docs/src/agents/agent-pulse/state/manager.ts ==="
sed -n '1,240p' agent-docs/src/agents/agent-pulse/state/manager.ts || trueLength of output: 10792
Require TUTORIAL_API_URL, validate it, and standardize API error handling
- Add TUTORIAL_API_URL to .env.example. (.env.example)
- In agent-docs/src/agents/agent-pulse/tutorial.ts: guard/validate TUTORIAL_API_BASE_URL at module init (fail fast and return a consistent ApiResponse or throw consistently) to avoid fetches to "undefined".
- Make getTutorialList return ApiResponse on non-OK (do not throw) to match getTutorialMeta/getTutorialStep and let callers handle failures. (agent-docs/src/agents/agent-pulse/tutorial.ts)
- Wrap response.json() usage in try/catch and return a clear ApiResponse on parse errors (invalid/empty body).
- Prefer GET /api/tutorials/:id in getTutorialMeta when the API supports it; if not, document the O(n) list-fetch behavior and consider caching/pagination. (agent-docs/src/agents/agent-pulse/tutorial.ts)
- Ensure callers (agent-docs/src/agents/agent-pulse/index.ts, tools.ts, state/manager.ts) handle the unified ApiResponse shape consistently after changes.
🤖 Prompt for AI Agents
In agent-docs/src/agents/agent-pulse/tutorial.ts (lines 1-98) the module
currently reads TUTORIAL_API_URL without validation and inconsistently throws on
fetch/json errors; validate and fail-fast the TUTORIAL_API_BASE_URL at module
init (throw a clear error or export a failing ApiResponse) to avoid requests to
"undefined"; change getTutorialList to return an ApiResponse on non-OK responses
instead of throwing, wrap every response.json() in a try/catch and return {
success: false, status, error } with a parse error message when JSON parsing
fails; update getTutorialMeta to prefer calling GET /api/tutorials/:id if
available and otherwise keep the list-fetch fallback (document O(n) and consider
caching), and update callers (agent-docs/src/agents/agent-pulse/index.ts,
tools.ts, state/manager.ts) to handle the unified ApiResponse shape; also add
TUTORIAL_API_URL to .env.example.
| @@ -0,0 +1,98 @@ | |||
| import type { AgentContext } from '@agentuity/sdk'; | |||
|
|
|||
| const TUTORIAL_API_BASE_URL = process.env.TUTORIAL_API_URL; | |||
There was a problem hiding this comment.
Validate TUTORIAL_API_URL early
If unset, requests go to “undefined/...”. Fail fast with a clear error.
const TUTORIAL_API_BASE_URL = process.env.TUTORIAL_API_URL;
+if (!TUTORIAL_API_BASE_URL) {
+ throw new Error("TUTORIAL_API_URL environment variable is not set");
+}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| const TUTORIAL_API_BASE_URL = process.env.TUTORIAL_API_URL; | |
| const TUTORIAL_API_BASE_URL = process.env.TUTORIAL_API_URL; | |
| if (!TUTORIAL_API_BASE_URL) { | |
| throw new Error("TUTORIAL_API_URL environment variable is not set"); | |
| } |
🤖 Prompt for AI Agents
In agent-docs/src/agents/agent-pulse/tutorial.ts around line 3, the
TUTORIAL_API_BASE_URL is read directly from process.env.TUTORIAL_API_URL and can
be undefined causing requests to go to "undefined/..."; validate the env var at
module init and throw a clear, descriptive error (or exit) if unset so the app
fails fast; update the code to check process.env.TUTORIAL_API_URL, assign it to
TUTORIAL_API_BASE_URL only if present, and throw/raise an informative error
mentioning the missing TUTORIAL_API_URL environment variable when it is not
provided.
Comment on lines
+81
to
+89
| export async function getTutorialStep(tutorialId: string, stepNumber: number, ctx: AgentContext): Promise<ApiResponse<TutorialStepResponseData>> { | ||
| try { | ||
| const response = await fetch(`${TUTORIAL_API_BASE_URL}/api/tutorials/${tutorialId}/steps/${stepNumber}`); | ||
|
|
||
| if (!response.ok) { | ||
| ctx.logger.error('Failed to fetch tutorial step %d for tutorial %s: %s', stepNumber, tutorialId, response.statusText); | ||
| return { success: false, status: response.status, error: response.statusText }; | ||
| } | ||
|
|
There was a problem hiding this comment.
Encode path params to avoid path injection / malformed URLs
- const response = await fetch(`${TUTORIAL_API_BASE_URL}/api/tutorials/${tutorialId}/steps/${stepNumber}`);
+ const response = await fetch(
+ `${TUTORIAL_API_BASE_URL}/api/tutorials/${encodeURIComponent(tutorialId)}/steps/${encodeURIComponent(String(stepNumber))}`
+ );📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| export async function getTutorialStep(tutorialId: string, stepNumber: number, ctx: AgentContext): Promise<ApiResponse<TutorialStepResponseData>> { | |
| try { | |
| const response = await fetch(`${TUTORIAL_API_BASE_URL}/api/tutorials/${tutorialId}/steps/${stepNumber}`); | |
| if (!response.ok) { | |
| ctx.logger.error('Failed to fetch tutorial step %d for tutorial %s: %s', stepNumber, tutorialId, response.statusText); | |
| return { success: false, status: response.status, error: response.statusText }; | |
| } | |
| export async function getTutorialStep(tutorialId: string, stepNumber: number, ctx: AgentContext): Promise<ApiResponse<TutorialStepResponseData>> { | |
| try { | |
| const response = await fetch( | |
| `${TUTORIAL_API_BASE_URL}/api/tutorials/${encodeURIComponent(tutorialId)}/steps/${encodeURIComponent(String(stepNumber))}` | |
| ); | |
| if (!response.ok) { | |
| ctx.logger.error('Failed to fetch tutorial step %d for tutorial %s: %s', stepNumber, tutorialId, response.statusText); | |
| return { success: false, status: response.status, error: response.statusText }; | |
| } |
🤖 Prompt for AI Agents
In agent-docs/src/agents/agent-pulse/tutorial.ts around lines 81 to 89, the code
interpolates tutorialId and stepNumber directly into the fetch URL which can
lead to path injection or malformed URLs; update the fetch call to safely encode
those path parameters (e.g., use encodeURIComponent on tutorialId and
String(stepNumber) or build the URL with the URL API and set pathname segments)
so the request URL is always well-formed and safe before calling fetch, and keep
logging and error handling unchanged.
✅ Actions performedReviews paused. |
afterrburn
approved these changes
Sep 20, 2025
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Empty PR 5
Summary
This PR makes a minimal whitespace change to the
middleware.tsfile, changing a tab to a space at line 48. This is intentionally an "empty PR" with no functional changes - just a single character formatting change for testing/workflow purposes. This is the fifth in a series of similar minimal PRs created in this session.Review & Testing Checklist for Human
Notes
Summary by CodeRabbit
New Features
Documentation