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๐Ÿค– CrewAI Multi-Agent Research & Delivery Pipeline **A hierarchical AI crew that researches any topic, fact-checks its own sources, and ships a polished brief to Discord โ€” on a schedule, serverless, and 100% Infrastructure-as-Code.** $1 $1 $1 $1 $1 $1
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\n\n# ๐Ÿค– CrewAI Multi-Agent Research & Delivery Pipeline\n\n**A hierarchical AI crew that researches any topic, fact-checks its own sources, and ships a polished brief to Discord โ€” on a schedule, serverless, and 100% Infrastructure-as-Code.**\n\n[![CrewAI](https://img.shields.io/badge/CrewAI-hierarchical-FF5A50?style=flat-square)](https://docs.crewai.com/)\n[![AWS Lambda](https://img.shields.io/badge/AWS-Lambda-FF9900?style=flat-square&logo=awslambda&logoColor=white)](https://aws.amazon.com/lambda/)\n[![Amazon Bedrock](https://img.shields.io/badge/Amazon-Bedrock-232F3E?style=flat-square&logo=amazon&logoColor=white)](https://aws.amazon.com/bedrock/)\n[![Terraform](https://img.shields.io/badge/Terraform-managed-7B42BC?style=flat-square&logo=terraform&logoColor=white)](https://www.terraform.io/)\n[![GitHub OIDC](https://img.shields.io/badge/CI-GitHub%20OIDC-2088FF?style=flat-square&logo=githubactions&logoColor=white)](https://docs.github.com/en/actions/deployment/security-hardening-your-deployments/about-security-hardening-with-openid-connect)\n[![Python](https://img.shields.io/badge/Python-3.11-3776AB?style=flat-square&logo=python&logoColor=white)](https://www.python.org/)\n\n
\n\n---\n\n## โœจ What it does\n\nGive it a topic. A **manager agent** breaks the work apart and delegates to three specialists โ€” one gathers real sources, one cross-checks them for contradictions and weak evidence, and one writes the final brief. The result lands in your Discord. When it's not running, **nothing is running** โ€” zero idle cost.\n\n```\n โฐ EventBridge (cron)\n โ”‚ invokes\n โ–ผ\n ๐Ÿชฃ AWS Lambda (container image)\n โ”‚ runs\n โ–ผ\n ๐Ÿง  CrewAI Crew โ”€โ”€ Process.hierarchical โ”€โ”€โ–บ ๐Ÿ‘” Manager (Sonnet 4)\n โ”‚ plans ยท delegates ยท validates\n โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”\n โ–ผ โ–ผ โ–ผ\n ๐Ÿ”Ž Researcher ๐Ÿ”ฌ Analyst โœ๏ธ Editor\n (Haiku ยท tools) (Sonnet) (Sonnet)\n web_search + cross-checks & writes final\n fetch_page ranks by evidence markdown brief\n โ”‚\n โ””โ”€โ”€โ–บ ๐ŸŸง Bedrock Claude (via litellm) โ”€โ”€โ–บ ๐Ÿ“ฌ Discord webhook\n```\n\n## ๐ŸŒŸ Features\n\n- **๐Ÿ›๏ธ True hierarchical orchestration** โ€” uses CrewAI's `Process.hierarchical`, where an auto-spawned manager agent delegates tasks and validates output. Not a hardcoded Aโ†’Bโ†’C pipeline.\n- **๐ŸŽš๏ธ Model-tier routing** โ€” agents request a *tier* (`smart`/`fast`), not a model. Route reasoning work to Sonnet and high-volume tool calls to Haiku; swap the whole fleet's cost/quality profile from one file.\n- **๐Ÿ› ๏ธ Custom tools** โ€” keyless `web_search` + `fetch_page` built on CrewAI's `BaseTool`, with Pydantic-validated inputs and graceful degradation (a failed call returns data, never crashes the crew).\n- **โ˜๏ธ Serverless & scheduled** โ€” runs on a container-image Lambda triggered by EventBridge cron. Scales to zero between runs.\n- **๐Ÿ” Zero stored secrets** โ€” CI deploys via GitHub OIDC, assuming a short-lived role scoped to this repo. No long-lived AWS keys anywhere.\n- **๐Ÿ“ฆ 100% Terraform-managed** โ€” Lambda, least-privilege IAM, ECR, EventBridge, and the OIDC trust are all codified.\n- **๐Ÿ“จ Discord delivery** โ€” auto-chunks briefs to Discord's 2,000-char limit on clean boundaries.\n\n## ๐Ÿงฐ Tech Stack\n\n| Layer | Technology |\n|-------|-----------|\n| **Agent framework** | [CrewAI](https://docs.crewai.com/) 1.15 (`Process.hierarchical`, `BaseTool`) |\n| **LLM inference** | Amazon Bedrock โ€” Claude Sonnet 4 (reasoning) + Claude Haiku 4.5 (bulk), via litellm |\n| **Compute** | AWS Lambda (container image, Python 3.11 base) |\n| **Scheduling** | Amazon EventBridge (cron) |\n| **IaC** | Terraform (`>= 1.9`, AWS provider `>= 5.60`) |\n| **CI/CD** | GitHub Actions + OIDC (build โ†’ push ECR โ†’ update Lambda) |\n| **Packaging** | `uv` (lockfile-pinned, reproducible builds) |\n| **Delivery** | Discord webhook |\n\n## ๐Ÿš€ Quickstart (local)\n\n```bash\nuv sync\nexport AWS_REGION=us-east-1 # Bedrock creds via the standard AWS chain\nPYTHONPATH=src uv run python -m research_pipeline.handler \"how do vector databases work\"\n```\n\nWatch the terminal: the manager reasons, delegates, and the agents call tools live. Set `DISCORD_WEBHOOK_URL` to also post the brief to Discord.\n\n## โ˜๏ธ Deploy\n\nInfra is Terraform; code ships via GitHub Actions + OIDC.\n\n```bash\ncd terraform\nterraform init\nterraform apply \\\n -var=\"ecr_image_uri=.dkr.ecr.us-east-1.amazonaws.com/crewai-research-pipeline:latest\" \\\n -var=\"discord_webhook_url=$DISCORD_WEBHOOK_URL\"\n```\n\nThen set the repo variable `AWS_DEPLOY_ROLE_ARN` (from the `github_deploy_role_arn` output) and push to `main` โ€” CI builds the container, pushes to ECR, and updates the Lambda.\n\n> [!NOTE]\n> **Model choice:** Opus 4.7/4.8 currently reject litellm tool calls on Bedrock Converse ([litellm#31582](https://github.com/BerriAI/litellm/issues/31582)). Hierarchical mode leans hard on tool/delegation calls, so this project uses Sonnet 4 / Haiku 4.5, which round-trip tools cleanly.\n\n> [!NOTE]\n> If the GitHub OIDC provider already exists in your AWS account, swap the `aws_iam_openid_connect_provider.github` resource for a `data` source (or `terraform import` it) to avoid an `EntityAlreadyExists` error on first apply.\n\n## ๐Ÿ—‚๏ธ Project layout\n\n```\nsrc/research_pipeline/\n llm_config.py # Bedrock model-tier routing (smart / fast)\n crew.py # hierarchical crew: Researcher / Analyst / Editor + manager\n handler.py # Lambda entry point + Discord delivery\n tools/web_tools.py # custom CrewAI tools: web_search, fetch_page\nterraform/ # container Lambda, least-priv IAM, EventBridge, GitHub OIDC\n.github/workflows/ # OIDC build-push-deploy\nDockerfile # AWS Lambda Python 3.11 base + uv deps\n```\n\n## ๐Ÿงญ Design decisions worth knowing\n\n1. **Hierarchical over sequential** โ€” a manager that *delegates and validates* beats a fixed order for open-ended research.\n2. **Tiered models over one model** โ€” cost discipline: cheap tier for volume, smart tier for judgment.\n3. **Container over zip** โ€” CrewAI + litellm + boto3 exceed Lambda's 250 MB layer limit; container images allow up to 10 GB.\n4. **OIDC over access keys** โ€” CI holds no long-lived AWS credentials; it assumes a repo-scoped role via a short-lived token.\n\n## ๐Ÿ“ˆ Roadmap\n\n- [ ] Swap DuckDuckGo for a higher-quality search backend (Tavily / Serper)\n- [ ] Add an eval harness to score brief quality against a golden set\n- [ ] Optional [MCP](https://modelcontextprotocol.io/) tool access via CrewAI's `MCPServerAdapter` / AgentCore Gateway\n- [ ] Persist briefs to S3 with a searchable index\n\n---\n\n
\nBuilt with CrewAI ยท Amazon Bedrock ยท Terraform โ€” orchestration you can read in five files.\n
\n","readmeExcerpt":"
๐Ÿค– CrewAI Multi-Agent Research & Delivery Pipeline **A hierarchical AI crew that researches any topic, fact-checks its own sources, and ships a polished brief to Discord โ€” on a schedule, serverless, and 100% Infrastructure-as-Code.** $1 $1 $1 $1 $1 $1
--- โœจ What it does Give it a topic. A **manager agent** breaks the work apart and delegates to three specialists โ€” one gathers real sources,","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"โฐ EventBridge (cron)\n โ”‚ invokes\n โ–ผ\n ๐Ÿชฃ AWS Lambda (container image)\n โ”‚ runs\n โ–ผ\n ๐Ÿง  CrewAI Crew โ”€โ”€ Process.hierarchical โ”€โ”€โ–บ ๐Ÿ‘” Manager (Sonnet 4)\n โ”‚ plans ยท delegates ยท validates\n โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”\n โ–ผ โ–ผ โ–ผ\n ๐Ÿ”Ž Researcher ๐Ÿ”ฌ Analyst โœ๏ธ Editor\n (Haiku ยท tools) (Sonnet) (Sonnet)\n web_search + cross-checks & writes final\n fetch_page ranks by evidence markdown brief\n โ”‚\n โ””โ”€โ”€โ–บ ๐ŸŸง Bedrock Claude (via litellm) โ”€โ”€โ–บ ๐Ÿ“ฌ Discord webhook"},{"language":"bash","snippet":"uv sync\nexport AWS_REGION=us-east-1 # Bedrock creds via the standard AWS chain\nPYTHONPATH=src uv run python -m research_pipeline.handler \"how do vector databases work\""},{"language":"bash","snippet":"cd terraform\nterraform init\nterraform apply \\\n -var=\"ecr_image_uri=.dkr.ecr.us-east-1.amazonaws.com/crewai-research-pipeline:latest\" \\\n -var=\"discord_webhook_url=$DISCORD_WEBHOOK_URL\""},{"language":"text","snippet":"src/research_pipeline/\n llm_config.py # Bedrock model-tier routing (smart / fast)\n crew.py # hierarchical crew: Researcher / Analyst / Editor + manager\n handler.py # Lambda entry point + Discord delivery\n tools/web_tools.py # custom CrewAI tools: web_search, fetch_page\nterraform/ # container Lambda, least-priv IAM, EventBridge, GitHub OIDC\n.github/workflows/ # OIDC build-push-deploy\nDockerfile # AWS Lambda Python 3.11 base + uv deps"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["python"],"docsSourceLabel":"GITHUB REPOS","editorialOverview":"Hierarchical CrewAI research crew (Researcher/Analyst/Editor + manager) on Amazon Bedrock, scheduled on AWS Lambda, delivering briefs to Discord. 100% Terraform-managed, GitHub OIDC.
๐Ÿค– CrewAI Multi-Agent Research & Delivery Pipeline **A hierarchical AI crew that researches any topic, fact-checks its own sources, and ships a polished brief to Discord โ€” on a schedule, serverless, and 100% Infrastructure-as-Code.** $1 $1 $1 $1 $1 $1
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