OpenRouter ACTION
Send Chat Completion Request
Send a chat completion request to a selected model. See the documentation
- Action
- Writes data
- API key
- SDK
- MCP
IMPLEMENTATION
Call this tool
Connect a user's OpenRouter account once, then configure and run Send Chat Completion Request from your backend or agent.
import { PipedreamClient } from "@pipedream/sdk"
const pd = new PipedreamClient({
projectId: process.env.PIPEDREAM_PROJECT_ID!,
clientId: process.env.PIPEDREAM_CLIENT_ID!,
clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
projectEnvironment: "production",
})
const result = await pd.actions.run({
id: "openrouter-send-chat-completion-request",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
openrouter: { authProvisionId: "apn_xxxxxxx" },
model: "Model",
messages: ["Messages"],
},
})
console.log(result)curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
-H "Content-Type: application/json" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}" \
-d '{
"external_user_id": "{external_user_id}",
"id": "openrouter-send-chat-completion-request",
"configured_props": {
"openrouter": { "authProvisionId": "apn_xxxxxxx" },
"model": "Model",
"messages": ["Messages"]
}
}'// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
new URL("https://remote.mcp.pipedream.net/v3"),
{
requestInit: {
headers: {
Authorization: `Bearer ${accessToken}`,
"x-pd-project-id": "{project_id}",
"x-pd-environment": "production",
"x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
"x-pd-app-slug": "openrouter",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
name: "openrouter-send-chat-completion-request",
arguments: {
model: "Model",
messages: ["Messages"],
},
})SCHEMA
Inputs
Pipedream supplies the connected account. Your application provides the operation-specific values below. Dynamic inputs are resolved against that user's account.
| Property | Type | Description |
|---|---|---|
model Model | string | The model ID to use. Required Dynamic |
messages Messages | string[] | A list of objects containing role and content. E.g. {"role":"user", "content":"text"}. See the documentation for further details. Required |
maxTokens Max Tokens | integer | Maximum number of tokens. (range: [1, context_length)). Optional |
temperature Temperature | string | Sampling temperature. (range: [0, 2]). Optional |
seed Seed | integer | Seed for deterministic outputs. Optional |
topP Top P | string | Top-p sampling value. (range: (0, 1]). Optional |
topK Top K | integer | Top-k sampling value. (range: [1, Infinity)). Optional |
frequencyPenalty Frequency Penalty | string | Frequency penalty. (range: [-2, 2]). Optional |
presencePenalty Presence Penalty | string | Presence penalty. (range: [-2, 2]). Optional |
repetitionPenalty Repetition Penalty | string | Repetition penalty. (range: (0, 2]). Optional |
logitBias Logit Bias | string[] | A list of token IDs to bias values. Optional |
togLogprobs Top Logprobs | integer | Number of top log probabilities to return. Optional |
minP Min P | string | Minimum probability threshold. (range: [0, 1]). Optional |
topA Top A | integer | Alternate top sampling parameter. (range: [0, 1]). Optional |
transforms Transforms | string[] | List of prompt transforms (OpenRouter-only). Optional |
models Models | string[] | Alternate list of models for routing overrides Optional Dynamic |
sort Sort | string | Sort preference (e.g., price, throughput). Optional |
effort Reasoning Effort | string | OpenAI-style reasoning effort setting. Optional |
reasoningMaxTokens Reasoning Max Tokens | string | Non-OpenAI-style reasoning effort setting. Cannot be used simultaneously with effort. Optional |
exclude Reasoning Exclude | boolean | Whether to exclude reasoning from the response Optional |
REFERENCE
Tool details
Behavior hints are published with the component in the Pipedream registry and surface as MCP tool annotations, so an agent can reason about a tool before it calls it.
- Registry key
- openrouter-send-chat-completion-request
- Version
- 0.0.3
- App
- OpenRouter
- Authentication
- API key
- Read-only
- No
- Destructive
- No
- Open world
- Yes
- Source
- View on GitHub ↗