docs: build OpenAPI spec and cut version 1.10 (#13537)

* build-api

* bump-version-to-1.10

* fix-broken-links
This commit is contained in:
Mendon Kissling
2026-06-08 14:25:14 -04:00
committed by GitHub
parent 60afa18f05
commit 2411d8036e
528 changed files with 41198 additions and 94 deletions

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import os
from openai import OpenAI
base = (os.environ.get("LANGFLOW_URL") or os.environ.get("LANGFLOW_SERVER_URL", "")).rstrip("/")
api_key = os.environ.get("LANGFLOW_API_KEY", "")
flow_id = os.environ.get("FLOW_ID", "")
client = OpenAI(
base_url=f"{base}/api/v1/",
default_headers={"x-api-key": api_key},
api_key="dummy-api-key", # Required by OpenAI SDK but not used by Langflow
)
try:
response = client.responses.create(
model=flow_id,
input="There is an event that happens on the second wednesday of every month. What are the event dates in 2026?",
)
except Exception as exc:
# Empty bootstrap flows return an error body; use a flow with ChatInput + ChatOutput in the UI.
print(exc)
else:
try:
print(response.output_text)
except Exception:
print(response)

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# Continuation requests use the same endpoint; add `previous_response_id` from a prior
# response's `id` field. The bootstrap flow is empty; use a Playground flow with ChatInput +
# ChatOutput for a full run. Same first message as continue-conversations-with-response-and-session-ids.py.
import os
import requests
base = os.environ.get("LANGFLOW_URL") or os.environ.get("LANGFLOW_SERVER_URL", "")
flow_id = os.environ.get("FLOW_ID", "")
api_key = os.environ.get("LANGFLOW_API_KEY", "")
url = f"{base}/api/v1/responses"
headers = {
"x-api-key": api_key,
"Content-Type": "application/json",
}
payload = {
"model": flow_id,
"input": "Hello, my name is Alice",
"stream": False,
}
response = requests.post(url, headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.text)

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# Same pattern as continue-conversations-with-response-and-session-ids-2.py; you can pass
# `previous_response_id` from the prior turn (or a session id your app stores).
import os
import requests
base = os.environ.get("LANGFLOW_URL") or os.environ.get("LANGFLOW_SERVER_URL", "")
flow_id = os.environ.get("FLOW_ID", "")
api_key = os.environ.get("LANGFLOW_API_KEY", "")
url = f"{base}/api/v1/responses"
headers = {
"x-api-key": api_key,
"Content-Type": "application/json",
}
payload = {
"model": flow_id,
"input": "Hello, my name is Alice",
"stream": False,
}
response = requests.post(url, headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.text)

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import os
import requests
base = os.environ.get("LANGFLOW_URL") or os.environ.get("LANGFLOW_SERVER_URL", "")
flow_id = os.environ.get("FLOW_ID", "")
api_key = os.environ.get("LANGFLOW_API_KEY", "")
url = f"{base}/api/v1/responses"
headers = {
"x-api-key": api_key,
"Content-Type": "application/json",
}
payload = {
"model": flow_id,
"input": "Hello, my name is Alice",
"stream": False,
}
response = requests.post(url, headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.text)

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import os
import requests
url = f"{os.getenv('LANGFLOW_SERVER_URL', '')}/api/v1/responses"
headers = {
"x-api-key": f"{os.getenv('LANGFLOW_API_KEY', '')}",
"Content-Type": "application/json",
}
payload = {"model": "$YOUR_FLOW_ID", "input": "Hello, how are you?", "stream": False}
response = requests.request("POST", url, headers=headers, json=payload)
response.raise_for_status()
print(response.text)

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import os
import requests
url = f"{os.getenv('LANGFLOW_SERVER_URL', '')}/api/v1/responses"
headers = {
"x-api-key": f"{os.getenv('LANGFLOW_API_KEY', '')}",
"Content-Type": "application/json",
}
payload = {"model": "$FLOW_ID", "input": "Tell me a story about a robot", "stream": True}
response = requests.request("POST", url, headers=headers, json=payload)
response.raise_for_status()
print(response.text)

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import os
import requests
url = f"{os.getenv('LANGFLOW_SERVER_URL', '')}/api/v1/responses"
headers = {
"x-api-key": f"{os.getenv('LANGFLOW_API_KEY', '')}",
"Content-Type": "application/json",
"X-LANGFLOW-GLOBAL-VAR-OPENAI_API_KEY": "sk-...",
"X-LANGFLOW-GLOBAL-VAR-USER_ID": "user123",
"X-LANGFLOW-GLOBAL-VAR-ENVIRONMENT": "production",
}
payload = {"model": "your-flow-id", "input": "Hello"}
response = requests.request("POST", url, headers=headers, json=payload)
response.raise_for_status()
print(response.text)

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import os
import requests
base = os.environ.get("LANGFLOW_URL") or os.environ.get("LANGFLOW_SERVER_URL", "")
flow_id = os.environ.get("FLOW_ID", "")
api_key = os.environ.get("LANGFLOW_API_KEY", "")
url = f"{base}/api/v1/responses"
headers = {
"Content-Type": "application/json",
"x-api-key": api_key,
}
payload = {
"model": flow_id,
"input": "Calculate 23 * 15 and show me the result",
"stream": False,
"include": ["tool_call.results"],
}
response = requests.post(url, headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.text)

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import os
import requests
url = f"{os.getenv('LANGFLOW_SERVER_URL', '')}/api/v1/responses"
headers = {
"x-api-key": f"{os.getenv('LANGFLOW_API_KEY', '')}",
"Content-Type": "application/json",
}
payload = {"model": "FLOW_ID", "input": "Explain quantum computing in simple terms", "stream": False}
response = requests.request("POST", url, headers=headers, json=payload)
response.raise_for_status()
print(response.text)