LangFlow Integration

Operationalise LangFlow boards inside AIP so you can run and manage them alongside native agents. This guide is for teams prototyping visually who are ready to sync flows into the wider automation platform without rewriting them by hand.

Overview

When to use: Understand the sync pipeline before wiring automation.

LangFlow lets you design complex agent workflows visually. The GL AIP package can sync those flows and expose them as agents of type langflow, ready to run via the Python SDK or CLI. Use LangFlow for rapid prototyping, then promote the result into your wider automation pipelines.

Configure Access

When to use: Connect LangFlow to AIP with the right credentials and endpoints.

Set the LangFlow connection once via environment variables or CLI flags:

export LANGFLOW_BASE_URL="https://your-langflow.example.com"
export LANGFLOW_API_KEY="super-secret"

Sync Flows from LangFlow

When to use: Promote a visual flow into an AIP agent for the first time or after edits.

Python SDK

from glaip_sdk import Client

client = Client()

client.sync_langflow_agents()

# Inspect LangFlow-based agents
langflow_agents = client.agents.list_agents(agent_type="langflow")
for agent in langflow_agents:
    print(agent.name)

CLI

# Pull all flows and create/update matching AIP agents
aip agents sync-langflow

# Provide explicit connection details if you do not use env vars
aip agents sync-langflow \
  --base-url "https://your-langflow.example.com" \
  --api-key "super-secret"

# List the imported agents (type=langflow)
aip agents list --type langflow

aip agents sync-langflow references agents by their underlying LangFlow IDs, but follow-up commands like aip agents run accept either the synced agent ID or its unique name. Use --select if multiple agents share a similar name.

The sync operation fetches every published flow, creating new agents or updating existing ones if the LangFlow ID already exists in AIP.

Common sync issues

Symptom	Likely cause	Fix
Flow not listed in CLI after sync	Sync command failed silently or wrong workspace connected.	Re-run the sync with verbose logging and confirm API keys reference the correct LangFlow workspace.
Tool references missing	Tool IDs in the flow do not exist in the target account.	Import or recreate the tools first, then resync the flow.
Runtime errors about unknown nodes	Custom components unsupported in AIP runtime.	Replace custom nodes with supported blocks before syncing.
Flow changes not reflected	Cached agent still running previous version.	Use --force sync options or delete/recreate the agent before syncing.

Run LangFlow Agents

When to use: Execute, monitor, and validate converted flows inside AIP.

Python SDK

from glaip_sdk import Client

client = Client()

agent = client.find_agents(name="marketing-flow")[0]
response = agent.run("Create a campaign brief for the autumn launch")
print(response)

CLI

aip agents list --type langflow
aip agents run <LANGFLOW_AGENT_REF> --input "Summarise the Q4 roadmap"

Replace <LANGFLOW_AGENT_REF> with the agent ID or name from the list output.

Best Practices

When to use: Keep flows consistent between design and production environments.

• Version in LangFlow: Tag releases in LangFlow so you can track which build is currently synced. The sync output returns counts for created, updated, and skipped flows.

• Modular boards: Break large chains into reusable sub-flows to keep agent responses predictable and easier to debug.

• Tool parity: Ensure any tools referenced in the LangFlow board exist in the target AIP account; missing tools will surface as execution errors.

• Scheduled syncs: Use CI or scheduled jobs to call aip agents sync-langflow so your AIP account always mirrors the latest published boards.

Troubleshooting

When to use: Resolve sync or runtime failures before filing an issue.

Symptom	Likely Cause	Fix
Missing LangFlow configuration error	No base URL/API key configured	Set LANGFLOW_BASE_URL and LANGFLOW_API_KEY or pass flags
Agents not appearing after sync	Flow is disabled or missing required metadata	Publish/enable the flow in LangFlow and re-run sync
Execution errors at runtime	Referenced tools/models unavailable in AIP	Provision the same tools/models in the target account before running

Related Documentation

• Agents guide: Operate LangFlow and native agents side by side.

• Automation & scripting: Schedule sync jobs or integrate with CI pipelines.

• Configuration management: Export agent configurations after syncing for review or promotion.

• REST API reference: Reference-only endpoints for LangFlow sync.

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Design visually in LangFlow, sync into AIP, and run those flows anywhere you use the SDK or CLI.