feat: add import from Bedrock Agents to add agent and create flows by tejaskash · Pull Request #563 · aws/agentcore-cli

tejaskash · 2026-03-18T22:28:54Z

Summary

Adds "Import from Bedrock Agents" as a third option in the add agent and create flows
Fetches a Bedrock Agent's full configuration (action groups, knowledge bases, multi-agent collaboration, code interpreter, guardrails, prompt overrides, memory) via AWS SDK and translates it into runnable Python code
Supports both Strands and LangChain/LangGraph frameworks
Works in both interactive TUI and non-interactive CLI (--type import --agent-id X --agent-alias-id Y --region us-east-1)
Generated code uses standard BedrockAgentCoreApp() + @app.entrypoint pattern, deployable via agentcore deploy
No CDK changes required; import produces standard agentcore.json entries

New files

src/cli/aws/bedrock-import.ts + bedrock-import-types.ts — AWS SDK wrapper for Bedrock Agent APIs
src/cli/operations/agent/import/ — base translator, Strands translator, LangGraph translator, pyproject generator, constants, shared handler

Test plan

25 new unit tests (AWS client, both translators, pyproject generation, import validation)
All 2243 unit tests pass
ESLint clean on all changed files
TypeScript compiles cleanly
End-to-end verified: imported a real Bedrock Agent with knowledge bases, agentcore dev starts and processes requests successfully

Manual testing steps

Tested against Bedrock Agent LDGEKNWZQC (alias TSTALIASID) in account 637423344544, region us-east-1. This agent has a knowledge base for Git integration support.

1. Create project and import agent (non-interactive CLI)

mkdir /tmp/import-test && cd /tmp/import-test
agentcore create --name gitsupport --type import \
  --agent-id LDGEKNWZQC --agent-alias-id TSTALIASID \
  --region us-east-1 --framework Strands --memory none

2. Verify generated code

app/gitsupport/main.py contains correct Strands agent with KB tool (retrieve_knowledge_base_quick_start_bc5jc), @app.entrypoint, and BedrockAgentCoreApp()
agentcore/agentcore.json has the agent entry with "protocol": "HTTP", "modelProvider": "Bedrock", no memories (matches --memory none)
No memory retrieval code in main.py (correct for --memory none since agentcore.json has no strategies)

3. Dev server

cd /tmp/import-test/gitsupport
agentcore dev

Server starts on http://localhost:8080/invocations.

4. Invoke
Sent prompt: "How do I set up a CodeConnection to GitHub?"

Agent called the KB tool, queried the Bedrock knowledge base, and returned a detailed step-by-step answer
Response included tools_used: ["retrieve_knowledge_base_quick_start_bc5jc"]
Full request/response cycle completed successfully

Memory strategy fix (`166397a`)

Fixed actor_id parameter missing from retrieve_memories calls in the Strands translator, and aligned both translators' memory retrieval code with the strategies written to agentcore.json:

shortTerm (no strategies in schema) — no namespace-specific retrieval
longAndShortTerm (SEMANTIC + USER_PREFERENCE + SUMMARIZATION) — retrieves from all three namespaces (/users/{user_id}/facts, /users/{user_id}/preferences, /summaries/{user_id}/)

Adds a third option in the "add agent" flow that fetches a Bedrock Agent's configuration via AWS SDK and translates it into runnable Strands or LangChain/LangGraph Python code, wired into the standard AgentCore project structure. Supports action groups, knowledge bases, multi-agent collaboration, code interpreter, guardrails, prompt overrides, and memory configuration. Both interactive TUI and non-interactive CLI paths are implemented.

src/cli/operations/agent/import/base-translator.ts

github-actions · 2026-03-18T22:33:07Z

Coverage Report

Status	Category	Percentage	Covered / Total
🔵	Lines	44.38%	4450 / 10025
🔵	Statements	43.98%	4704 / 10694
🔵	Functions	45.67%	830 / 1817
🔵	Branches	44.84%	2936 / 6547

Generated in workflow #1019 for commit 7c08566 by the Vitest Coverage Report Action

…hon code

tejaskash · 2026-03-20T17:49:20Z

Code review

Found 1 issue:

Missing actor_id parameter in Strands translator's retrieve_memories call. The LangGraph translator includes actor_id=user_id but the Strands translator omits it, creating an inconsistency between the two framework implementations. If the AgentCore memory API requires or uses actor_id for filtering, the Strands path will return incorrect results or fail at runtime.

agentcore-cli/src/cli/operations/agent/import/strands-translator.ts

Lines 175 to 177 in 7c08566

    
           ? [ 
        
               '        memories = memory_client.retrieve_memories(memory_id=memory_id, namespace=f\'/summaries/{user_id}/\', query="Retrieve the most recent session summaries.", top_k=20)', 
        
               '        memory_synopsis = "\\n".join([m.get("content", {}).get("text", "") for m in memories])',

Compare with the LangGraph translator which correctly includes it:

agentcore-cli/src/cli/operations/agent/import/langgraph-translator.ts

Lines 205 to 207 in 7c08566

    
                 ? ` 
        
                       memories = memory_client.retrieve_memories(memory_id=memory_id, namespace=f'/summaries/{user_id}/', query="Retrieve the most recent session summaries.", actor_id=user_id, top_k=20) 
        
                       memory_synopsis = "\\n".join([m.get("content", {}).get("text", "") for m in memories])`

🤖 Generated with Claude Code

_{- If this code review was useful, please react with 👍. Otherwise, react with 👎.}

- Add actor_id=user_id to all retrieve_memories calls (was missing in Strands translator) - Pass memoryOption through to translators so generated Python code matches the strategies written to agentcore.json - shortTerm: no namespace-specific retrieval (no strategies in schema) - longAndShortTerm: retrieve from all three strategy namespaces (/users/{user_id}/facts, /users/{user_id}/preferences, /summaries/{user_id}/) matching SEMANTIC, USER_PREFERENCE, and SUMMARIZATION strategies

tejaskash requested a review from a team March 18, 2026 22:28

github-actions bot added the size/xl PR size: XL label Mar 18, 2026

tejaskash temporarily deployed to e2e-testing March 18, 2026 22:29 — with GitHub Actions Inactive

tejaskash changed the title ~~feat: add Import from Bedrock Agents~~ feat: add Import from Bedrock Agents to add agent and create flows Mar 18, 2026

github-advanced-security bot found potential problems Mar 18, 2026

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src/cli/operations/agent/import/base-translator.ts Fixed Show fixed Hide fixed

style: fix prettier formatting in docs

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fix: escape backslashes in action group description for generated Pyt…

3264cf0

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tejaskash changed the title ~~feat: add Import from Bedrock Agents to add agent and create flows~~ feat: add import from Bedrock Agents to add agent and create flows Mar 18, 2026

github-actions bot added size/xl PR size: XL and removed size/xl PR size: XL labels Mar 18, 2026

style: fix prettier formatting across all changed files

7c08566

github-actions bot added size/xl PR size: XL and removed size/xl PR size: XL labels Mar 18, 2026

tejaskash temporarily deployed to e2e-testing March 18, 2026 22:39 — with GitHub Actions Inactive

tejaskash mentioned this pull request Mar 20, 2026

feat: add import from Bedrock Agents to add agent and create flows jesseturner21/agentcore-cli#6

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tejaskash had a problem deploying to e2e-testing March 20, 2026 20:27 — with GitHub Actions Failure

github-actions bot added size/xl PR size: XL and removed size/xl PR size: XL labels Mar 20, 2026

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feat: add import from Bedrock Agents to add agent and create flows#563

feat: add import from Bedrock Agents to add agent and create flows#563
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feature/import-from-bedrock-agents

tejaskash commented Mar 18, 2026 •

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Summary

New files

Test plan

Manual testing steps

Memory strategy fix (166397a)

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tejaskash commented Mar 18, 2026 •

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Memory strategy fix (`166397a`)

github-actions bot commented Mar 18, 2026 •

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