forked from phoenix/litellm-mirror
docs - using tags OpenAI JS
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1 changed files with 39 additions and 2 deletions
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@ -115,7 +115,7 @@ client = openai.OpenAI(
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base_url="http://0.0.0.0:4000"
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base_url="http://0.0.0.0:4000"
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)
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)
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# request sent to model set on litellm proxy, `litellm --model`
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response = client.chat.completions.create(
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response = client.chat.completions.create(
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model="gpt-3.5-turbo",
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model="gpt-3.5-turbo",
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messages = [
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messages = [
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@ -126,7 +126,7 @@ response = client.chat.completions.create(
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],
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],
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extra_body={
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extra_body={
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"metadata": {
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"metadata": {
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"tags": ["model-anthropic-claude-v2.1", "app-ishaan-prod"]
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"tags": ["model-anthropic-claude-v2.1", "app-ishaan-prod"] # 👈 Key Change
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}
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}
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}
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}
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)
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)
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@ -135,6 +135,43 @@ print(response)
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```
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```
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</TabItem>
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</TabItem>
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<TabItem value="openai js" label="OpenAI JS">
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Set `extra_body={"metadata": { }}` to `metadata` you want to pass
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```js
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const openai = require('openai');
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async function runOpenAI() {
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const client = new openai.OpenAI({
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apiKey: 'sk-1234',
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baseURL: 'http://0.0.0.0:4000'
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});
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try {
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const response = await client.chat.completions.create({
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model: 'gpt-3.5-turbo',
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messages: [
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{
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role: 'user',
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content: "this is a test request, write a short poem"
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},
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],
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tags: ["model-anthropic-claude-v2.1", "app-ishaan-prod"] // 👈 Key Change
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});
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console.log(response);
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} catch (error) {
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console.log("got this exception from server");
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console.error(error);
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}
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}
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// Call the asynchronous function
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runOpenAI();
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```
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</TabItem>
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<TabItem value="Curl" label="Curl Request">
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<TabItem value="Curl" label="Curl Request">
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Pass `metadata` as part of the request body
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Pass `metadata` as part of the request body
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