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@cf/defog/sqlcoder-7b-2This model is intended to be used by non-technical users to understand data inside their SQL databases.
| Model Info | |
|---|---|
| Deprecated | 5/30/2026 |
| Context Window | 10,000 tokens |
| Terms and License | link |
| More information | link |
| Beta | Yes |
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export interface Env {
AI: Ai;
}
export default {
async fetch(request, env): Promise<Response> {
const messages = [
{ role: "system", content: "You are a friendly assistant" },
{
role: "user",
content: "What is the origin of the phrase Hello, World",
},
];
const stream = await env.AI.run("@cf/defog/sqlcoder-7b-2", {
messages,
stream: true,
});
return new Response(stream, {
headers: { "content-type": "text/event-stream" },
});
},
} satisfies ExportedHandler<Env>;
export interface Env {
AI: Ai;
}
export default {
async fetch(request, env): Promise<Response> {
const messages = [
{ role: "system", content: "You are a friendly assistant" },
{
role: "user",
content: "What is the origin of the phrase Hello, World",
},
];
const response = await env.AI.run("@cf/defog/sqlcoder-7b-2", { messages });
return Response.json(response);
},
} satisfies ExportedHandler<Env>;
import os
import requests
ACCOUNT_ID = "your-account-id"
AUTH_TOKEN = os.environ.get("CLOUDFLARE_AUTH_TOKEN")
prompt = "Tell me all about PEP-8"
response = requests.post(
f"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/@cf/defog/sqlcoder-7b-2",
headers={"Authorization": f"Bearer {AUTH_TOKEN}"},
json={
"messages": [
{"role": "system", "content": "You are a friendly assistant"},
{"role": "user", "content": prompt}
]
}
)
result = response.json()
print(result)
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/defog/sqlcoder-7b-2 \
-X POST \
-H "Authorization: Bearer $CLOUDFLARE_AUTH_TOKEN" \
-d '{ "messages": [{ "role": "system", "content": "You are a friendly assistant" }, { "role": "user", "content": "Why is pizza so good" }]}'OpenAI compatible endpoints
/v1/chat/completions and /v1/embeddings. For more details, refer to Configurations.stringrequiredminLength: 1The input text prompt for the model to generate a response.stringName of the LoRA (Low-Rank Adaptation) model to fine-tune the base model.objectbooleandefault: falseIf true, a chat template is not applied and you must adhere to the specific model's expected formatting.booleandefault: falseIf true, the response will be streamed back incrementally using SSE, Server Sent Events.integerdefault: 256The maximum number of tokens to generate in the response.numberdefault: 0.6minimum: 0maximum: 5Controls the randomness of the output; higher values produce more random results.numberminimum: 0.001maximum: 1Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses.integerminimum: 1maximum: 50Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises.integerminimum: 1maximum: 9999999999Random seed for reproducibility of the generation.numberminimum: 0maximum: 2Penalty for repeated tokens; higher values discourage repetition.numberminimum: -2maximum: 2Decreases the likelihood of the model repeating the same lines verbatim.numberminimum: -2maximum: 2Increases the likelihood of the model introducing new topics.stringThe generated text response from the modelobjectUsage statistics for the inference requestarrayAn array of tool calls requests made during the response generationstringbinaryWas this helpful?
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