feat: Add RunAgent Agent Builder v 0.1 with GPT-5-mini#57
Conversation
WalkthroughAdds a new example “Vibe Agent Builder” with a FastAPI backend, two static UIs (builder and agent tester), SDK test script, and documentation. Updates CLI table formatting to show full agent IDs. Normalizes framework values in SDK/server DB writes. Adjusts a LlamaIndex client test. Changes
Sequence Diagram(s)sequenceDiagram
participant U as User (Browser)
participant UI as Agent Builder UI
participant API as FastAPI Backend
participant LLM as GPT-5 Analyzer
participant GEN as File Generators
participant RAS as RunAgent Server
U->>UI: Describe desired agent
UI->>API: POST /chat (message, session_id)
API->>LLM: analyze_user_request(message)
LLM-->>API: agent_info (name, framework, inputs,…)
API->>GEN: generate_agent_files(agent_info, session)
GEN-->>API: files, config, mermaid
API->>RAS: start_runagent_server(session_dir)
RAS-->>API: agent_id, port, url
API-->>UI: ChatResponse (stage updates, agent_id/url, diagram)
UI->>U: Display stages, diagram, agent link
sequenceDiagram
participant U as User (Browser)
participant AUI as Agent Interface UI
participant API as FastAPI Backend
participant RAS as RunAgent Server
U->>AUI: Provide test message & inputs
AUI->>API: GET /agent/{id}/run-test-stream
API->>RAS: Stream request (entrypoint_tag, inputs)
RAS-->>API: data: output / complete / error
API-->>AUI: StreamingResponse
AUI->>U: Live output, status
Estimated code review effort🎯 4 (Complex) | ⏱️ ~45 minutes Poem
Warning There were issues while running some tools. Please review the errors and either fix the tool's configuration or disable the tool if it's a critical failure. 🔧 Ruff (0.12.2)examples/Vibe_Agent_Builder_gpt_5/main.py�[1;31mruff failed�[0m examples/Vibe_Agent_Builder_gpt_5/test_sdk.py�[1;31mruff failed�[0m runagent/cli/commands.py�[1;31mruff failed�[0m
✨ Finishing Touches
🧪 Generate unit tests
🪧 TipsChatThere are 3 ways to chat with CodeRabbit:
SupportNeed help? Create a ticket on our support page for assistance with any issues or questions. CodeRabbit Commands (Invoked using PR/Issue comments)Type Other keywords and placeholders
CodeRabbit Configuration File (
|
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 13
🔭 Outside diff range comments (2)
runagent/cli/commands.py (1)
543-544: Fix NameError: capacity variable not defined in deploy_local.
capacityis referenced but never defined; should becapacity_info.- f"📊 Capacity: [cyan]{capacity.get('current_count', 1)}/5[/cyan] slots used" + f"📊 Capacity: [cyan]{capacity_info.get('current_count', 1)}/5[/cyan] slots used"runagent/sdk/server/local_server.py (1)
909-923: Duplicate method definition: get_server_info defined twice.The class defines get_server_info earlier (Lines 318-341) with middleware sync status, then again here with a reduced payload. The latter will shadow the earlier, dropping sync details and risking inconsistency.
Remove the duplicate (this block) to preserve the enriched version:
- def get_server_info(self) -> dict: - """Get server information""" - return { - "host": self.host, - "port": self.port, - "url": f"http://{self.host}:{self.port}", - "docs_url": f"http://{self.host}:{self.port}/docs", - "status": "running", - "server_type": "FastAPI", - "agent_id": self.agent_id, - "agent_name": self.agent_name, - "agent_framework": self.agent_framework, - "invocation_tracking": True, - }
🧹 Nitpick comments (8)
test_scripts/python/client_test_llamaindex.py (1)
28-28: Prefer printing delta/content when present for readability.Raw chunk dumps are noisy. Fall back to raw only if common fields aren’t present.
- print(chunk) + # Prefer user-facing content fields first; fallback to raw + print(chunk.get("delta_content") or chunk.get("content") or chunk)examples/Vibe_Agent_Builder_gpt_5/test_sdk.py (1)
7-12: Port parameter is unused; remove it (or plumb it through) to avoid confusion.You accept and display “port” but never pass it to RunAgentClient. Since local=True will resolve by agent_id via the local DB, either:
- Remove the port parameter entirely, or
- Support remote testing by wiring host/port through RunAgentClient when local=False.
Current print of Port can mislead.
-def test_agent(agent_id, port=8450): +def test_agent(agent_id): @@ - print(f"🔌 Port: {port}") + # Note: local=True uses agent_id lookup from local DB; no port required @@ - ra = RunAgentClient( - agent_id=agent_id, - entrypoint_tag=tag, - local=True - ) + ra = RunAgentClient(agent_id=agent_id, entrypoint_tag=tag, local=True) @@ -if __name__ == "__main__": +if __name__ == "__main__": @@ - if len(sys.argv) > 2: - port = int(sys.argv[2]) - else: - port = 8450 - - test_agent(agent_id, port) + test_agent(agent_id)runagent/cli/commands.py (2)
1137-1138: Show full Agent IDs: good UX alignment with longer stable IDs.
- Setting width=36 and using the full agent_id improves clarity when copying IDs into commands or scripts.
- Keep an eye on any IDs that can exceed 36 chars (unlikely for UUIDv4). If custom IDs emerge, consider dynamic width or no truncation in rich tables.
Also applies to: 1154-1161, 1252-1257, 1266-1274, 1745-1749, 1764-1770
161-168: Consistency: also show full Agent ID in ‘Available Agents’ list.Elsewhere you now display full IDs. Consider aligning this list too for consistency, especially when users need to copy IDs.
- table = Table(title="Available Agents") - table.add_column("Agent ID", style="magenta") + table = Table(title="Available Agents") + table.add_column("Agent ID", style="magenta", width=36) @@ - table.add_row( - agent['agent_id'][:8] + "...", + table.add_row( + agent['agent_id'], agent['framework'], agent['status'], agent['deployed_at'] or "Unknown" )runagent/sdk/db.py (2)
825-829: Normalize framework consistently at DB boundary (good); extract helper to avoid duplication.The hasattr(...,'value') then str(...) fallback is correct for Enum or arbitrary types. It’s duplicated in multiple methods; consider a private helper to keep it DRY.
- if hasattr(framework, 'value'): - framework = framework.value - elif framework is not None: - framework = str(framework) + framework = self._normalize_framework(framework)Add this helper inside DBService (or module-level):
def _normalize_framework(self, fw): if fw is None: return None return fw.value if hasattr(fw, "value") else str(fw)
1540-1544: Duplicate normalization logic in add_agent_with_auto_port; reuse a helper.Same rationale as above; centralize the normalization.
- if hasattr(framework, 'value'): - framework = framework.value - elif framework is not None: - framework = str(framework) + framework = self._normalize_framework(framework)examples/Vibe_Agent_Builder_gpt_5/README.md (2)
181-181: Specify language identifier for fenced code blockAdd a language identifier to improve syntax highlighting and readability.
-``` +```text generated_agents/<session_id>/ ├── agent.py # Main agent code ├── requirements.txt # Python dependencies ├── runagent.config.json # RunAgent configuration ├── agent_test.py # SDK test script ├── .env # Environment variables └── README.md # Agent documentation -``` +```
149-155: Add error handling guidance for API requestsThe curl command example doesn't include error handling or timeout parameters, which could cause issues in production environments.
curl -X POST "http://localhost:8000/chat" \ -H "Content-Type: application/json" \ + --max-time 30 \ + --fail \ -d '{ "message": "Create a weather agent using LangGraph", "session_id": "optional-session-id" - }' + }' || echo "Request failed with exit code $?"
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
⛔ Files ignored due to path filters (4)
examples/Vibe_Agent_Builder_gpt_5/image/agent-builder-ui.pngis excluded by!**/*.pngexamples/Vibe_Agent_Builder_gpt_5/image/agent-ui.pngis excluded by!**/*.pngexamples/Vibe_Agent_Builder_gpt_5/image/graph.pngis excluded by!**/*.pngexamples/Vibe_Agent_Builder_gpt_5/static/icon.pngis excluded by!**/*.png
📒 Files selected for processing (9)
examples/Vibe_Agent_Builder_gpt_5/README.md(1 hunks)examples/Vibe_Agent_Builder_gpt_5/main.py(1 hunks)examples/Vibe_Agent_Builder_gpt_5/static/agent.html(1 hunks)examples/Vibe_Agent_Builder_gpt_5/static/index.html(1 hunks)examples/Vibe_Agent_Builder_gpt_5/test_sdk.py(1 hunks)runagent/cli/commands.py(6 hunks)runagent/sdk/db.py(2 hunks)runagent/sdk/server/local_server.py(1 hunks)test_scripts/python/client_test_llamaindex.py(1 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (3)
test_scripts/python/client_test_llamaindex.py (1)
runagent-rust/runagent/src/client/runagent_client.rs (1)
entrypoint_tag(279-281)
examples/Vibe_Agent_Builder_gpt_5/test_sdk.py (2)
runagent/cli/main.py (1)
runagent(8-10)runagent-rust/runagent/src/client/runagent_client.rs (1)
entrypoint_tag(279-281)
examples/Vibe_Agent_Builder_gpt_5/main.py (4)
templates/default/default/email_agent.py (1)
create(378-389)runagent-rust/runagent/src/types/errors.rs (1)
config(113-117)runagent-rust/runagent/src/client/rest_client.rs (1)
request(96-126)runagent-rust/runagent/src/client/runagent_client.rs (1)
entrypoint_tag(279-281)
🪛 markdownlint-cli2 (0.17.2)
examples/Vibe_Agent_Builder_gpt_5/README.md
181-181: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🔇 Additional comments (8)
test_scripts/python/client_test_llamaindex.py (1)
20-22: Entrypoint “main_stream” confirmed availableVerified that “main_stream” is defined in the default agent template and routing mappings—
- examples/Vibe_Agent_Builder_gpt_5/main.py (entrypoint_tags includes ["main", "main_stream"] and implements main_stream)
- docs/cli/commands/serve.mdx (CLI serve command maps tag "main_stream")
No further changes needed.
examples/Vibe_Agent_Builder_gpt_5/test_sdk.py (2)
18-29: Good defensive loop over multiple entrypoint tags.This pragmatic sweep improves test success rates across heterogeneous frameworks. No issues.
39-49: Result printing is robust for dict and non-dict outputs.The type check and json.dumps formatting are a reasonable default for diverse SDK returns.
runagent/sdk/server/local_server.py (1)
541-544: Framework normalization before DB write is correct and consistent.Using
framework.value if hasattr(framework, 'value') else str(framework)aligns with DB normalization changes; prevents Enum leakage into DB rows.examples/Vibe_Agent_Builder_gpt_5/README.md (1)
88-89: No changes needed: GPT-5 is publicly available
As of August 7, 2025, GPT-5 is released and accessible via the OpenAI API and ChatGPT (including gpt-5-mini/nano and GPT-5 Pro). References to “GPT-5” throughout the README are accurate and require no update.Likely an incorrect or invalid review comment.
examples/Vibe_Agent_Builder_gpt_5/static/agent.html (1)
693-699: Logical error in input data handlingThe condition check for empty arrays is incorrect - it checks if the primary field is an empty string, but then compares it with an array.
- if (testMessage && (!inputData[primaryField] || inputData[primaryField] === '' || Array.isArray(inputData[primaryField]) && inputData[primaryField].length === 0)) { + if (testMessage && (!inputData[primaryField] || inputData[primaryField] === '' || (Array.isArray(inputData[primaryField]) && inputData[primaryField].length === 0))) {Likely an incorrect or invalid review comment.
examples/Vibe_Agent_Builder_gpt_5/static/index.html (1)
1018-1024: Incorrect zoom state managementThe zoom functions reference
currentZoom,minZoom, andmaxZoomdirectly, but they should use the suggestedappStateobject for consistency.examples/Vibe_Agent_Builder_gpt_5/main.py (1)
740-798: No issue: RunAgent framework fully supports async entrypointsThe generic server runner in runagent/sdk/server/framework/generic.py detects and correctly handles both coroutine functions and async generators, so your
async def agent_runandasync def agent_run_streamdefinitions will be invoked as intended.
- runagent/sdk/server/framework/generic.py
normalized_runnerchecksinspect.iscoroutinefunctionand doesawait resolved_entrypoint(...)normalized_stream_runnerchecksinspect.isasyncgenfunctionand iteratesasync for chunk in …
| import threading | ||
| import time |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Use ThreadPoolExecutor instead of daemon threads
Using daemon threads with threading.Thread can lead to abrupt termination and resource leaks.
import threading
+from concurrent.futures import ThreadPoolExecutor
import time
+
+# Create a thread pool for background tasks
+executor = ThreadPoolExecutor(max_workers=5)Then replace thread creation:
-threading.Thread(target=start_agent, daemon=True).start()
+executor.submit(start_agent)Add cleanup on shutdown:
@app.on_event("shutdown")
async def shutdown_event():
executor.shutdown(wait=True, timeout=10)🤖 Prompt for AI Agents
In examples/Vibe_Agent_Builder_gpt_5/main.py around lines 10-11, the code
creates daemon threads via threading.Thread which can terminate abruptly and
leak resources; replace that pattern by creating a ThreadPoolExecutor (store it
in a module-level variable), submit the target call(s) with executor.submit(...)
instead of threading.Thread(..., daemon=True). Remove daemon usage and any
thread.join logic and rely on executor for task management, and add an
application shutdown handler that calls executor.shutdown(wait=True, timeout=10)
to cleanly wait for tasks to finish.
| response = openai_client.responses.create( | ||
| model="gpt-5-mini", | ||
| input=prompt, | ||
| reasoning={"effort": "minimal"} | ||
| ) | ||
|
|
||
| content = response.output[1].content[0].text | ||
| result = json.loads(content) |
There was a problem hiding this comment.
GPT-5 API call uses non-existent model and API structure
The code attempts to use gpt-5-mini model with a non-standard API structure (openai_client.responses.create with reasoning parameter), which doesn't match the current OpenAI API.
Replace with the correct OpenAI API structure:
try:
- response = openai_client.responses.create(
- model="gpt-5-mini",
- input=prompt,
- reasoning={"effort": "minimal"}
+ response = openai_client.chat.completions.create(
+ model="gpt-4",
+ messages=[{"role": "user", "content": prompt}],
+ temperature=0.7
)
- content = response.output[1].content[0].text
+ content = response.choices[0].message.content📝 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.
| response = openai_client.responses.create( | |
| model="gpt-5-mini", | |
| input=prompt, | |
| reasoning={"effort": "minimal"} | |
| ) | |
| content = response.output[1].content[0].text | |
| result = json.loads(content) | |
| response = openai_client.chat.completions.create( | |
| model="gpt-4", | |
| messages=[{"role": "user", "content": prompt}], | |
| temperature=0.7 | |
| ) | |
| content = response.choices[0].message.content | |
| result = json.loads(content) |
🤖 Prompt for AI Agents
In examples/Vibe_Agent_Builder_gpt_5/main.py around lines 88 to 95, the code
calls a non-existent model "gpt-5-mini" and uses an incorrect API shape
(openai_client.responses.create with a reasoning parameter); replace this with a
valid model and the correct chat completions call: call
openai_client.chat.completions.create (or the SDK-equivalent chat endpoint) with
a messages list (system/user/message) instead of input, remove the unsupported
reasoning parameter, and extract the assistant reply from the returned
choices/messages payload (parse the text/json from the single assistant message
and then json.loads it).
| response = openai_client.responses.create( | ||
| model="gpt-5-mini", | ||
| input=prompt, | ||
| reasoning={"effort": "minimal"} | ||
| ) | ||
|
|
||
| mermaid_code = response.output[1].content[0].text.strip() | ||
| mermaid_code = mermaid_code.replace('```mermaid', '').replace('```', '').strip() |
There was a problem hiding this comment.
Duplicate GPT-5 API issue in Mermaid diagram generation
Same issue with non-existent GPT-5 API structure.
try:
- response = openai_client.responses.create(
- model="gpt-5-mini",
- input=prompt,
- reasoning={"effort": "minimal"}
+ response = openai_client.chat.completions.create(
+ model="gpt-4",
+ messages=[{"role": "user", "content": prompt}],
+ temperature=0.7
)
- mermaid_code = response.output[1].content[0].text.strip()
+ mermaid_code = response.choices[0].message.content.strip()📝 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.
| response = openai_client.responses.create( | |
| model="gpt-5-mini", | |
| input=prompt, | |
| reasoning={"effort": "minimal"} | |
| ) | |
| mermaid_code = response.output[1].content[0].text.strip() | |
| mermaid_code = mermaid_code.replace('```mermaid', '').replace('```', '').strip() | |
| try: | |
| response = openai_client.chat.completions.create( | |
| model="gpt-4", | |
| messages=[{"role": "user", "content": prompt}], | |
| temperature=0.7 | |
| ) | |
| mermaid_code = response.choices[0].message.content.strip() | |
| mermaid_code = mermaid_code.replace(' |
| result = subprocess.run(["pip", "install", "-r", "requirements.txt"], | ||
| cwd=session_dir, capture_output=True, text=True, timeout=120) | ||
| if result.returncode == 0: | ||
| print("✅ Dependencies installed successfully") | ||
| else: | ||
| print(f"⚠️ Dependency installation: {result.stderr}") | ||
| except Exception as e: | ||
| print(f"⚠️ Dependency installation failed: {e}") |
There was a problem hiding this comment.
Security risk: Unvalidated subprocess execution
Running pip install without validation could execute arbitrary code if requirements.txt is compromised.
Add validation and use safer subprocess execution:
# Install dependencies
print("📦 Installing agent dependencies...")
try:
+ # Validate requirements.txt exists and has reasonable size
+ req_file = Path(session_dir) / "requirements.txt"
+ if not req_file.exists() or req_file.stat().st_size > 10000:
+ raise ValueError("Invalid requirements.txt file")
+
result = subprocess.run(["pip", "install", "-r", "requirements.txt"],
cwd=session_dir, capture_output=True, text=True, timeout=120)Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In examples/Vibe_Agent_Builder_gpt_5/main.py around lines 962–969, the code runs
pip install on requirements.txt without validating its contents which is a
security risk; update it to (1) validate each non-empty line of requirements.txt
before installing—reject any lines containing URLs, VCS schemes (git+, svn+,
hg+), local file paths (file:), editable flags (-e) or other shell
metacharacters and only allow standard package specifiers like package==version
or package>=version; (2) install using the current Python executable
(sys.executable -m pip install) or a created virtualenv rather than relying on a
global pip binary; and (3) call subprocess.run with a constrained argument list,
check=True, timeout, and capture_output=True, and only proceed if all validated
entries are safe (or implement a whitelist) to prevent arbitrary code execution.
| @app.get("/agent/{agent_id}/run-test-stream") | ||
| async def run_streaming_test_live( | ||
| agent_id: str, | ||
| test_message: str = "Hello, streaming test", | ||
| input_data: str = None, | ||
| entrypoint_tag: str = None | ||
| ): |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Missing validation for streaming endpoint parameters
The streaming endpoint accepts user input without proper validation.
async def run_streaming_test_live(
agent_id: str,
- test_message: str = "Hello, streaming test",
+ test_message: str = Query(default="Hello, streaming test", max_length=1000),
input_data: str = None,
entrypoint_tag: str = None
):
+ # Validate agent_id format
+ if not agent_id or not agent_id.replace('-', '').replace('_', '').isalnum():
+ raise HTTPException(status_code=400, detail="Invalid agent ID format")📝 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.
| @app.get("/agent/{agent_id}/run-test-stream") | |
| async def run_streaming_test_live( | |
| agent_id: str, | |
| test_message: str = "Hello, streaming test", | |
| input_data: str = None, | |
| entrypoint_tag: str = None | |
| ): | |
| @app.get("/agent/{agent_id}/run-test-stream") | |
| async def run_streaming_test_live( | |
| agent_id: str, | |
| test_message: str = Query(default="Hello, streaming test", max_length=1000), | |
| input_data: str = None, | |
| entrypoint_tag: str = None | |
| ): | |
| # Validate agent_id format | |
| if not agent_id or not agent_id.replace('-', '').replace('_', '').isalnum(): | |
| raise HTTPException(status_code=400, detail="Invalid agent ID format") | |
| # … rest of your handler logic … |
🤖 Prompt for AI Agents
In examples/Vibe_Agent_Builder_gpt_5/main.py around lines 1613 to 1619, the GET
streaming endpoint accepts agent_id, test_message, input_data, and
entrypoint_tag without validation; add validation using FastAPI/Pydantic:
declare a request model or typed query params with constraints (e.g., agent_id
pattern or UUID validator, test_message min_length>0 and max_length limit,
input_data optional with max_length and type checks, entrypoint_tag restricted
to allowed values or regex), perform explicit checks and raise
fastapi.HTTPException(status_code=400, detail=...) for invalid inputs, and
ensure values are sanitized/trimmed before use to prevent injection/overflow in
the streaming handler.
| const response = await fetch(`http://localhost:8000/agent/${agentId}`); | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add proper error handling for failed network requests
The fetch call should handle network errors more gracefully with retry logic or user-friendly error messages.
const response = await fetch(`http://localhost:8000/agent/${agentId}`);
+
+if (!response) {
+ throw new Error('Network request failed - server may be unreachable');
+}Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In examples/Vibe_Agent_Builder_gpt_5/static/agent.html around lines 546-547, the
fetch call to `http://localhost:8000/agent/${agentId}` lacks error handling;
wrap the request in a try/catch, check response.ok and handle non-2xx responses,
and display a user-friendly message in the UI when it fails. Add simple retry
logic (e.g., 2-3 attempts with brief exponential backoff) for transient network
errors and ensure you don't block the main thread (use async/await), and
consider timing out long requests; log the actual error for debugging while
showing concise feedback to the user.
| event.target.classList.add('active'); | ||
| } |
There was a problem hiding this comment.
Event object not defined in switchTab function
The event object is used without being passed as a parameter, which will cause a runtime error.
-function switchTab(tabId) {
+function switchTab(tabId, event) {
// Hide all tab contents
document.querySelectorAll('.tab-content').forEach(tab => {
tab.classList.remove('active');
});
// Remove active class from all tabs
document.querySelectorAll('.tab').forEach(tab => {
tab.classList.remove('active');
});
// Show selected tab
document.getElementById(tabId).classList.add('active');
// Add active class to clicked tab
- event.target.classList.add('active');
+ if (event && event.target) {
+ event.target.classList.add('active');
+ }
}Also update the onclick handlers:
-<div class="tab active" onclick="switchTab('results-tab')">Results</div>
-<div class="tab" onclick="switchTab('info-tab')">Agent Info</div>
+<div class="tab active" onclick="switchTab('results-tab', event)">Results</div>
+<div class="tab" onclick="switchTab('info-tab', event)">Agent Info</div>📝 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.
| event.target.classList.add('active'); | |
| } | |
| // examples/Vibe_Agent_Builder_gpt_5/static/agent.html | |
| // … around line 956 … | |
| function switchTab(tabId, event) { | |
| // Hide all tab contents | |
| document.querySelectorAll('.tab-content').forEach(tab => { | |
| tab.classList.remove('active'); | |
| }); | |
| // Remove active class from all tabs | |
| document.querySelectorAll('.tab').forEach(tab => { | |
| tab.classList.remove('active'); | |
| }); | |
| // Show selected tab | |
| document.getElementById(tabId).classList.add('active'); | |
| // Add active class to clicked tab | |
| if (event && event.target) { | |
| event.target.classList.add('active'); | |
| } | |
| } |
| event.target.classList.add('active'); | |
| } | |
| <!-- also update the onclick handlers --> | |
| <div class="tab active" onclick="switchTab('results-tab', event)">Results</div> | |
| <div class="tab" onclick="switchTab('info-tab', event)">Agent Info</div> |
🤖 Prompt for AI Agents
In examples/Vibe_Agent_Builder_gpt_5/static/agent.html around lines 956-957, the
switchTab function uses event.target but event is not defined or passed in;
update the function signature to accept the event (e.g., function
switchTab(event) or (e)) and then use event.target.classList.add('active'); and
also update the corresponding onclick handlers in the HTML to pass the event
(e.g., onclick="switchTab(event)") so the event object is available at runtime.
| cursor: pointer; | ||
| transition: all 0.2s ease; | ||
| border: 1px solid #e2e8f0; | ||
| font-weight: 500; |
There was a problem hiding this comment.
Missing event parameter in onclick handlers
The onclick handlers for tabs don't pass the event parameter to the switchTab function.
-<div class="tab active" onclick="switchTab('results-tab')">Results</div>
-<div class="tab" onclick="switchTab('info-tab')">Agent Info</div>
+<div class="tab active" onclick="switchTab('results-tab', event)">Results</div>
+<div class="tab" onclick="switchTab('info-tab', event)">Agent Info</div>Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In examples/Vibe_Agent_Builder_gpt_5/static/index.html around lines 468 to 471,
the tab elements' onclick handlers call switchTab without passing the event
object; update each onclick to pass the event (e.g., onclick="switchTab(event)"
or use an inline arrow handler that forwards the event) so the switchTab
function receives the event parameter it expects; ensure all tab onclick
attributes are changed consistently.
| <div class="zoom-controls" id="zoomControls"> | ||
| <button class="zoom-btn" onclick="zoomDiagram(-0.2)" title="Zoom Out">−</button> | ||
| <span class="zoom-level" id="zoomLevel">100%</span> | ||
| <button class="zoom-btn" onclick="zoomDiagram(0.2)" title="Zoom In">+</button> | ||
| <button class="zoom-btn" onclick="resetZoom()" title="Reset Zoom" style="margin-left: 8px; font-size: 12px;">⌂</button> | ||
| </div> |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Zoom controls missing CSS styles
The zoom controls are referenced but their styles are not defined in the CSS section.
Add the following CSS for zoom controls:
.zoom-controls {
display: none;
align-items: center;
gap: 8px;
margin-left: auto;
}
.zoom-controls.visible {
display: flex;
}
.zoom-btn {
width: 28px;
height: 28px;
border: 1px solid #e2e8f0;
border-radius: 6px;
background: white;
cursor: pointer;
font-size: 14px;
display: flex;
align-items: center;
justify-content: center;
transition: all 0.2s ease;
}
.zoom-btn:hover {
background: #f1f5f9;
border-color: #cbd5e1;
}
.zoom-level {
font-size: 12px;
color: #64748b;
min-width: 45px;
text-align: center;
}
.diagram-container {
position: relative;
overflow: hidden;
}
.diagram-viewport {
position: relative;
overflow: auto;
max-height: 500px;
transition: max-height 0.3s ease;
}
.mermaid {
transform-origin: center center;
transition: transform 0.3s ease;
}🤖 Prompt for AI Agents
In examples/Vibe_Agent_Builder_gpt_5/static/index.html around lines 663-668, the
zoom control elements lack CSS; add the provided CSS rules to the page's
stylesheet (or inside a <style> block in the head) to define .zoom-controls,
.zoom-controls.visible, .zoom-btn, .zoom-btn:hover, .zoom-level,
.diagram-container, .diagram-viewport, and .mermaid so the controls are styled,
hidden by default and shown when .visible, buttons get sizing/hover visuals,
zoom level is formatted, and diagram viewport/transform behavior is set.
| let currentZoom = 1; | ||
| let minZoom = 0.3; | ||
| let maxZoom = 3; |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Global variable declarations should be avoided
Using multiple global variables can lead to namespace pollution and potential conflicts.
Consider wrapping the application state in a single object:
-let currentChatId = null;
-let chats = {};
-let isTyping = false;
-let currentZoom = 1;
-let minZoom = 0.3;
-let maxZoom = 3;
+const appState = {
+ currentChatId: null,
+ chats: {},
+ isTyping: false,
+ zoom: {
+ current: 1,
+ min: 0.3,
+ max: 3
+ }
+};Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In examples/Vibe_Agent_Builder_gpt_5/static/index.html around lines 717-719,
three standalone globals (currentZoom, minZoom, maxZoom) are declared which
pollute the global namespace; refactor by grouping these into a single
application state object (e.g., appState or VibeAgentState) and update all
references to use that object (appState.currentZoom, etc.), ensure you declare
the object in the appropriate module/closure scope (or attach it to a single
namespace) to avoid globals, and run a quick grep/IDE replace to update existing
usages.
2 participants
Description
This pull request introduces the RunAgent Generator, a comprehensive system for automatically creating custom AI agents from natural language descriptions. The system leverages GPT-5 for intelligent analysis and code generation, supporting multiple AI frameworks while providing complete development environments for AI agents.
Overview
The RunAgent Generator transforms the process of AI agent development by allowing users to describe their requirements in plain English and automatically generating production-ready agents. The system analyzes user intentions, selects appropriate frameworks, generates framework-specific code, and deploys agents through RunAgent infrastructure.
Key Features
Intelligent Agent Creation
Multi-Framework Support
The system supports five distinct AI frameworks, each optimized for specific use cases:
LangGraph Integration
Letta Integration
Agno Integration
LlamaIndex Integration
Custom Framework Support
Web Interfaces
Agent Builder Interface
Agent Testing Interface
RunAgent Integration
The system is deeply integrated with RunAgent infrastructure:
Configuration Management
runagent.config.jsonfilesServer Deployment
SDK Integration
Technical Implementation
Backend Architecture (main.py)
Code Generation System
The system includes specialized generators for each framework:
Frontend Implementation
Testing Infrastructure
API Endpoints
Core Functionality
POST /chat: Main conversation endpoint for agent generationGET /agent/{agent_id}: Retrieve comprehensive agent informationGET /agent/{agent_id}/run-test: Execute agent tests with custom parametersTesting and Debug
GET /agent/{agent_id}/run-test-stream: Live streaming test executionGET /agent/{agent_id}/sdk: Download generated SDK test scriptsGET /debug/test-agent/{agent_id}: Multi-endpoint debugging testsSystem Management
GET /health: Server health monitoringGET /debug/clear-sessions: Development session cleanupFiles Added
Core System Files
main.py: FastAPI backend with complete agent generation pipelinestatic/index.html: Agent builder web interfacestatic/agent.html: Agent testing and interaction interfacetest_sdk.py: Python SDK testing utilitiesGenerated Project Structure
Each generated agent creates:
agent.py: Framework-specific agent implementationrequirements.txt: Dependency specificationsrunagent.config.json: RunAgent configurationagent_test.py: SDK integration test script.env: Environment variable templateREADME.md: Agent-specific documentationConfiguration Requirements
Environment Variables
OPENAI_API_KEY: Required for GPT-5 accessRUNAGENT_LOG_LEVEL: Logging configuration (default: INFO)RUNAGENT_DISABLE_DB: Database feature controlDependencies
Use Cases and Examples
Business Intelligence Agent
"Create a data analysis agent that can process CSV files and generate business insights using LlamaIndex"
Customer Service Bot
"Build a conversational customer service agent with memory using Letta that can handle support tickets"
Content Generation System
"Make a content writer agent that takes topics and generates SEO-optimized articles with Agno"
Workflow Automation
"Create a complex workflow agent using LangGraph that can handle multi-step business processes"
Quality Assurance
Error Handling
Security Considerations
Performance Optimization
Testing Strategy
Unit Testing
Integration Testing
User Experience Testing
Documentation
Technical Documentation
User Documentation
Future Considerations
Scalability
Feature Extensions
Enterprise Features
Breaking Changes
This is a new feature addition with no breaking changes to existing functionality. All new endpoints and interfaces are additive and do not modify existing system behavior.
Migration Notes
No migration is required as this is a new feature. The system can be deployed alongside existing infrastructure without conflicts.
Reviewer Notes
Areas for Focus
Testing Recommendations
This system represents a significant advancement in AI agent development tooling, providing a bridge between natural language requirements and production-ready AI agents through intelligent automation and comprehensive integration with the RunAgent ecosystem.
Summary by CodeRabbit