Add CrewAI orchestration landscape research

[Giftedx]

Summary

• add a CrewAI orchestration landscape report covering official docs, blogs, and talks
• catalog common orchestration topologies with pros, cons, and deployment examples
• document guardrail patterns and deployment pitfalls observed in public CrewAI case studies

Testing

• not run

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https://chatgpt.com/codex/tasks/task_e_6909e6d27910832eafa6d284132c5cad

[github-actions]

🤖 Hi @Giftedx, I've received your request, and I'm working on it now! You can track my progress in the logs for more details.

[gemini-code-assist]

Summary of Changes

Hello @Giftedx, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a detailed research document titled "CrewAI Orchestration Landscape (2025)". Its primary goal is to provide a foundational resource for understanding and implementing CrewAI-based agent orchestration. The document consolidates information from official documentation, blogs, and talks, presenting common orchestration topologies, guardrail patterns for production environments, and insights into deployment strategies and potential pitfalls. This will serve as a valuable guide for users looking to design, deploy, and manage robust multi-agent systems with CrewAI.

Highlights

• New Research Document: Added a comprehensive "CrewAI Orchestration Landscape" report, consolidating information from official documentation, blogs, and talks.
• Orchestration Topologies Cataloged: Detailed common orchestration topologies, including Manager/Worker, Hierarchical Swarms, Sequential Pipelines, and Event-Driven Swarms, complete with their pros, cons, and deployment examples.
• Guardrail Patterns Documented: Outlined various guardrail patterns for production CrewAI deployments, such as validation loops, structured output enforcement, retries, fallbacks, budget controls, human-in-the-loop triggers, and tool sandboxing.
• Deployment Pitfalls Identified: Presented deployment patterns, examples, and common pitfalls relevant to regulated enterprise rollouts, high-throughput model experimentation, multi-tenant automation platforms, and community enablement.

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[Copilot]

Pull Request Overview

This PR introduces comprehensive research documentation on CrewAI orchestration patterns for 2025. The document catalogs official resources, deployment topologies, guardrail patterns, and real-world deployment examples to guide architectural decisions when implementing CrewAI-based agent systems.

Key Changes

• Adds a structured landscape document covering CrewAI's official documentation, blogs, and conference talks
• Documents four orchestration topologies (hierarchical, swarms, sequential pipelines, event-driven flows) with pros/cons
• Catalogs production guardrail patterns and deployment examples from Fortune 500 use cases

[Copilot]

Corrected spelling of 'choses' to 'chooses' in the URL.

Suggested change

	| [PwC Chooses CrewAI for Global Agent OS](https://blog.crewai.com/pwc-choses-crewai/) | Case study blog | Highlights large-scale deployment (PwC, DoD, PepsiCo, RBC) with accuracy gains and governance needs. |
	| [PwC Chooses CrewAI for Global Agent OS](https://blog.crewai.com/pwc-chooses-crewai/) | Case study blog | Highlights large-scale deployment (PwC, DoD, PepsiCo, RBC) with accuracy gains and governance needs. |

[github-actions]

🤖 I'm sorry @Giftedx, but I was unable to process your request. Please see the logs for more details.

[gemini-code-assist]

Code Review

This pull request adds a comprehensive and well-structured research document on the CrewAI orchestration landscape. The report covers key documentation, various orchestration topologies, and common guardrail and deployment patterns. This is a valuable addition to the project's research documentation. I have one minor suggestion to fix a typo in a URL.

[gemini-code-assist]

There's a typo in the URL for the PwC case study. 'choses' should be 'chooses'. This will fix the broken link.

Suggested change

	| [PwC Chooses CrewAI for Global Agent OS](https://blog.crewai.com/pwc-choses-crewai/) | Case study blog | Highlights large-scale deployment (PwC, DoD, PepsiCo, RBC) with accuracy gains and governance needs. |
	| [PwC Chooses CrewAI for Global Agent OS](https://blog.crewai.com/pwc-chooses-crewai/) | Case study blog | Highlights large-scale deployment (PwC, DoD, PepsiCo, RBC) with accuracy gains and governance needs. |