Request Logs
Logging Anthropic Requests
Getting Started
Features
- Request Logs
- Datasets
- Fine Tuning
- Direct Preference Optimization (DPO)
- Evaluations
- Criteria
- Chat Completions
- Caching
- Updating Metadata Tags
- Pruning Rules
- Fallback
- Deployments
- External Models
API Reference
- Logs
- Chat Completions
- Datasets
- Models
- Criteria
Pricing
Request Logs
Logging Anthropic Requests
Anthropic’s language models have a different API structure than those of OpenAI. To record requests made to Anthropic’s models, follow the examples below:
import time
from anthropic import Anthropic
from openpipe.client import OpenPipe
anthropic = Anthropic()
op_client = OpenPipe()
payload = {
"model": "claude-3-opus-20240229",
"messages": [{"role": "user", "content": "Hello, Claude"}],
"max_tokens": 100,
}
message = anthropic.messages.create(**payload)
op_client.report_anthropic(
requested_at=int(time.time() * 1000),
received_at=int(time.time() * 1000),
req_payload=payload,
resp_payload=message,
status_code=200,
metadata={
"prompt_id": "My prompt id",
},
)
import time
from anthropic import Anthropic
from openpipe.client import OpenPipe
anthropic = Anthropic()
op_client = OpenPipe()
payload = {
"model": "claude-3-opus-20240229",
"messages": [{"role": "user", "content": "Hello, Claude"}],
"max_tokens": 100,
}
message = anthropic.messages.create(**payload)
op_client.report_anthropic(
requested_at=int(time.time() * 1000),
received_at=int(time.time() * 1000),
req_payload=payload,
resp_payload=message,
status_code=200,
metadata={
"prompt_id": "My prompt id",
},
)
import Anthropic from "@anthropic-ai/sdk";
import { Message, MessageCreateParams } from "@anthropic-ai/sdk/resources";
import OpenPipe from "openpipe/client";
const anthropic = new Anthropic();
const opClient = new OpenPipe();
const payload: MessageCreateParams = {
model: "claude-3-opus-20240229",
messages: [{ role: "user", content: "Hello, Claude" }],
max_tokens: 1024,
};
const message: Message = await anthropic.messages.create(payload);
await opClient.reportAnthropic({
requestedAt: Date.now(),
receivedAt: Date.now(),
reqPayload: payload,
respPayload: message,
statusCode: 200,
metadata: {
prompt_id: "My prompt id",
},
});
If you’re using a different programming language, you can make a raw http request to the report-anthropic enpoint.