Reported issues for PraisonAI

Pod holds 24 of 72 problems reported by people outside the maintainer team. Issues filed by the project's own owners, members and collaborators are excluded entirely — a maintainer's release checklist is not a warning to a prospective user.

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praisonai test collection requires optional modules in default setup

praisonai test collection requires optional modules in default setup

Problem Statement

praisonai tests fail during collection in a base editable install because test/import paths assume optional integrations are installed (praisonaiui, google.generativeai).

Why This Matters

A default dev install should run baseline tests. Optional integrations should not break core test collection.

Environment

• OS: Windows 10 (build 19045)
• Python: 3.13.2
• Repo: `MervinPraison

Read the thread · 2026-04-24 · closed · outside contributor · 5 comments

GNAP: git-native task persistence for PraisonAI multi-agent workflows

Hi PraisonAI team 👋

PraisonAI's focus on low-code multi-agent systems that deliver to Telegram, Discord, and WhatsApp resonates with real-world deployment patterns. I wanted to share a coordination protocol that could add durability to PraisonAI's multi-agent pipelines.

GNAP (Git-Native Agent Protocol) turns any git repo into a zero-server coordination layer for AI agents. No Redis, no Celery, no extra services — just 4 JSON files and git push/pull.

Read the thread · 2026-03-15 · open · external user · 7 comments

AI Agent don't use tool || issue

i wrote a simple code like this:

""""""""" import logging logging.basicConfig(level=logging.DEBUG) import posthog posthog.disabled = True import os import sys import litellm litellm.extra_body = { "chat_template_kwargs": {"enable_thinking": False}, "tool_choice": "auto", "tool_call_parser": "hermes", } import gradio as gr from praisonaiagents import Agent, MCP import httpx os.environ["GRADIO_ANALYTICS_ENABLED"] = "False" import requests requests.packages.urllib3.disable_warnings() litellm.clien

Read the thread · 2025-08-01 · closed · external user · 8 comments

Support MCP with HTTP-Streaming

Updated standard for MCP is now HTTP-Streaming instead of SSE. Would be great, if you cloud update, so that MCP-Server with HTTP-Streaming cloud be integrated as well.

Best Grabow

Read the thread · 2025-07-01 · closed · external user · 29 comments

Timeout with MCP inisitailization

First off thanks for the framwork a great time saver

I am getting a timeout

Itried increasing timeout it did not work agent = Agent( instructions="You help do operation on Kites.", llm="gpt-4o-mini", tools=MCP("npx @mcp-remote https://mcp.kite.trade/sse",timeout=60000), ) result = agent.start(query)

But I could use this MCP with MCP Inspector.

![Image](https://g

Read the thread · 2025-05-21 · closed · external user · 14 comments

MCP doesn't work in Streamlit

Hi, I am have a MCP server running with Python. It works normally when I write a Python client script. But it doesn't work when I publish it to the Streamit app. It seems that the MCP can be initialized in Streamlit but when I make a query, it just could not fetch the MCP tool. I have tried running these piece of code, but the MCP tool cannot be found neither. Mind help look into this or maybe provide a working example of integrating MCP to Streamlit?

import streamlit as st from praisonaiagents

Read the thread · 2025-04-10 · closed · external user · 7 comments

ModuleNotFoundError: No module named 'mcp'

@MervinPraison I referred to the closed issue #439. But that did not solve the problem. pip install -U "praisonaiagents[mcp]"

M1 Mac.

Using the sample script

`from praisonaiagents import Agent, MCP

search_agent = Agent( instructions="""You help book apartments on Airbnb.""", llm="gpt-4o-mini", tools=MCP("npx -y @openbnb/mcp-server-airbnb --ignore-robots-txt") )

search_agent.start("I want to book an apartment in Paris for 2 nights. 03/28 - 03/30 for 2 adults") ` from https:

Read the thread · 2025-04-02 · closed · external user · 14 comments

MCP Tools SSE Support

@MervinPraison Is there any existing support for MCP tools in the Praison AI ?

Read the thread · 2025-03-18 · closed · external user · 6 comments

Most recent

MCP npx server-time yields zero tools on Windows and can ACCESS_VIOLATION the interpreter

[BUG] tools=MCP("npx -y @modelcontextprotocol/server-time") yields zero tools on Windows and can ACCESS_VIOLATION the interpreter

Metadata

Read the thread · 2026-08-26 · closed · outside contributor · 3 comments

[Feature] Add an official HOL Guard wrap_tool_call security example

Summary

Add a small official PraisonAI example/recipe showing how to use HOL Guard at the existing wrap_tool_call middleware boundary before a command-bearing tool executes.

Why this fits PraisonAI

PraisonAI already exposes @wrap_tool_call specifically so middleware can either call call_next(request) or short-circuit before the underlying tool runs. That makes it a clean integration point for an external runtime security engine without adding a new PraisonAI core API or dependen

Read the thread · 2026-08-24 · closed · outside contributor · 3 comments

EvalPort adapter for praisonaiagents.eval (EvalCase/EvalResult/EvalPackage)

I've been looking at praisonaiagents.eval (src/praisonai-agents/praisonaiagents/eval/) and it's one of the more portable-looking eval data models I've seen in an agent framework — worth pointing out for interop.

What EvalPort is: an open spec + SDK (evalport-sdk on PyPI, openeval.validate.validate_suite() / validate_result_set()) for representing LLM eval suites and results in a framework-neutral JSON format, so a suite built in one tool can run against another's harness and resul

Read the thread · 2026-08-23 · open · external user · 1 comment

[Feature] TealTiger as a guardrails provider — deterministic PII/secret detection, prompt injection defense, and regulatory policy templates

Problem

PraisonAI's guardrails= parameter and built-in approval=True cover basic governance, but regulated industries need more depth:

1. PII detection with regulatory coverage — Healthcare agents need all 18 HIPAA PHI identifiers detected. Financial agents need credit card, account number, SSN detection. Current guardrails don't cover these.

2. Prompt injection defense — Agents consuming external data (MCP servers, web fetch, RAG) are vulnerable to adversarial inputs in tool

Read the thread · 2026-08-23 · open · external user · 2 comments

ACP IDE server constructs a tool-less chat Agent: MCP configs, write/shell flags, and session capabilities never reach the model loop

Executive Summary

praisonai acp / praisonai serve acp is documented as an Agent Client Protocol server for Zed, JetBrains, VS Code, and Toad. Editors speak JSON-RPC over stdio and expect a coding agent that can read/write files, run commands, honor permissions, and optionally attach MCP servers supplied by the client.

A live in-process handshake on main @ 43bea02 shows the opposite:

• initialize advertises promptCapabilities.image: false, mcpCapabilities.http/sse: false, a

Read the thread · 2026-08-14 · closed · outside contributor · 3 comments

Pre-compaction memory flush before ContextCompactor summarises or discards turns

Title

Pre-compaction memory flush — extract durable user facts into memory before ContextCompactor summarises or discards turns

Executive Summary

PraisonAI ships a mature context-budget stack: ExecutionConfig.context_compaction, ContextCompactor in compaction/compactor.py, BEFORE_COMPACTION / AFTER_COMPACTION hooks, session append_compaction_checkpoint, LearnManager, memory adapters, and opt-in self_improve skill capture. Together these protect token budgets an

Read the thread · 2026-08-06 · closed · outside contributor · 2 comments

ExecutionConfig.max_rpm is a dead field — docs and examples claim RPM limiting works, but Agent never builds a RateLimiter

Executive Summary

ExecutionConfig.max_rpm is accepted, stored on the agent as self.max_rpm, printed by examples, and documented as “Only N requests per minute” — yet no RateLimiter is ever created from it. Runtime rate limiting only activates when an explicit rate_limiter= object is passed. Setting max_rpm alone leaves agent._rate_limiter is None, so chat/execution mixins never call acquire() and the agent fires LLM requests unbounded.

Validated on **praisonaiagents 1.6.164

Read the thread · 2026-08-06 · open · outside contributor · 3 comments

[BUG] delegate_task tool always fails — sub-agent runtime not wired

[BUG] delegate_task tool always fails — sub-agent runtime not wired

Metadata

Read the thread · 2026-08-04 · closed · outside contributor · 2 comments

[Enhancement] Add Runtime Context Providers for live external data (Slack, GDrive, Gmail, Wiki, MCP) — Agno parity gap

Runtime Context Providers — Live Slack, Google Workspace, Wiki, and MCP Data Injection

Title

[Enhancement] Add Runtime Context Providers for live external data (Slack, GDrive, Gmail, Wiki, MCP) — Agno parity gap

Executive Summary

Agno ships a first-class context/ module with built-in providers for Slack, Google Drive, Gmail, wikis, web search, MCP servers, calendars, and filesystem workspaces. These inject live external data as natural-language tools at a

Read the thread · 2026-07-30 · closed · outside contributor · 2 comments

[BUG][Flaky] Bot gateway E2E sandbox message check fails — agent omits E2E_SANDBOX_OK marker

[BUG][Flaky] Bot gateway E2E sandbox message check fails — agent omits E2E_SANDBOX_OK marker

Metadata

Read the thread · 2026-07-29 · closed · outside contributor · 2 comments

[BUG][Windows] MCP praisonai.rules.create unit test fails — fixture sets HOME but not USERPROFILE

[BUG][Windows] MCP praisonai.rules.create unit test fails — fixture sets HOME but not USERPROFILE

Metadata

Read the thread · 2026-07-29 · closed · outside contributor · 2 comments

[BUG][Windows][Regression] bot_gateway_e2e.py still crashes cp1252 stdout after gateway #3475 fix

[BUG][Windows][Regression] bot_gateway_e2e.py still crashes cp1252 stdout after gateway #3475 fix

Metadata

Read the thread · 2026-07-29 · open · outside contributor · 4 comments

[BUG][Windows] Bot gateway E2E browser check crashes on cp1252 when Playwright stderr contains box-drawing characters

[BUG][Windows] Bot gateway E2E browser check crashes on cp1252 when Playwright stderr contains box-drawing characters

Metadata

Read the thread · 2026-07-27 · closed · outside contributor · 3 comments

[BUG] MCP wrapper unit tests fail collection without praisonai-mcp on PYTHONPATH / dev extra

[BUG] MCP wrapper unit tests fail collection without praisonai-mcp on PYTHONPATH / dev extra

Metadata

Read the thread · 2026-07-27 · closed · outside contributor · 2 comments

Replace shared API keys on praisonai serve with JWT scope RBAC and service account PATs

Production Runtime Auth — JWT Scope RBAC and Service Accounts for praisonai serve

Title

Replace single shared API keys on praisonai serve with JWT scope RBAC, service account PATs, and route-level authorization matching enterprise agent platform expectations

Executive Summary

Agno AgentOS v2.8.0 implements production-grade API authentication via JWTMiddleware (libs/agno/agno/os/middleware/jwt.py) with:

• Granular AgentOSScope enum (resource:action, wil

Read the thread · 2026-07-23 · closed · outside contributor · 2 comments

Add ContextProvider protocol and built-in providers for live organizational context (Slack, Drive, Wiki, MCP, Web)

First-Class Context Providers for Live External Data (Slack, Drive, Wiki, MCP, Web)

Title

Add ContextProvider protocol and built-in providers so agents query live organizational context without bespoke tool wiring

Executive Summary

PraisonAI agents today receive context through RAG/knowledge bases, memory, and ad-hoc tools. Agno v2.8.0 ships a unified ContextProvider abstraction (libs/agno/agno/context/provider.py) with implementations for filesystem, web sea

Read the thread · 2026-07-23 · closed · outside contributor · 2 comments

The remaining reports are on the project's issue tracker.