Groq Cloud
Hyperfast LLM running on custom built GPU and the fastest interface in the world.
Integrate the Groq Cloud API with the Python API
Setup the Groq Cloud API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Groq Cloud and Python remarkably fast. Free for developers.
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Popular Groq Cloud and Python Actions#
Create Chat Completion with the Groq Cloud API
Creates a model response for the given chat conversation. See the documentation
Run Python Code with the Python API
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Connect Groq Cloud#
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import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
groqcloud: {
type: "app",
app: "groqcloud",
}
},
async run({steps, $}) {
const data = {"messages": [{"role": "user", "content": "What is Pipedream?"}], "model": "llama3-8b-8192"}
return await axios($, {
method: "post",
url: `https://api.groq.com/openai/v1/chat/completions`,
headers: {
Authorization: `Bearer ${this.groqcloud.$auth.api_key}`,
},
data,
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
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def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}Start for free — no credit card required
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