Image Generation

Image Generation

Generate images via Letta's hosted endpoint POST /v1/images/generations. The API usually returns base64 image bytes, but some providers return signed image URLs; save either form to a local image file before replying.

Example

Generate the image, save it locally, then show it inline:

base_url="${LETTA_BASE_URL%/}"

curl -sS -X POST "$base_url/v1/images/generations" \
  -H "Authorization: Bearer $LETTA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"provider":"gemini","prompt":"a friendly robot mascot waving, flat vector logo, mint green background","n":1}' \
  > image-response.json

python3 - <<'PY'
import base64, json, urllib.request

with open("image-response.json") as f:
    response = json.load(f)

image = response["images"][0]
if image.get("b64_json"):
    data = base64.b64decode(image["b64_json"])
else:
    data = urllib.request.urlopen(image["url"]).read()

with open("robot-mascot.png", "wb") as f:
    f.write(data)

print("saved robot-mascot.png; credits:", response["billing"]["credits_charged"])
PY

In Bash tools launched by Letta Code, use the runtime-provided LETTA_BASE_URL and LETTA_API_KEY together for Letta API calls. Build URLs relative to ${LETTA_BASE_URL%/} and send Authorization: Bearer $LETTA_API_KEY. Do not hardcode https://api.letta.com: Desktop and remote runtimes may provide a proxy base URL, and the credential may only be valid through that URL. If either variable is missing, the user needs to authenticate with Letta Cloud (or provide a Letta API key); do not ask for an OpenAI/Gemini provider key. This endpoint also does not use /connect BYOK providers — the only provider values supported here are flux, gemini, and openai.

Then show the image to the user by embedding the saved file in your reply:

Here's the mascot:

![a friendly robot mascot waving, flat vector logo](./robot-mascot.png)

The Letta Code UI renders local file paths in markdown image tags, so the image appears inline. Always display generated images this way — don't just report the path, and never paste the raw base64 / a data: URI. The markdown path must match where you saved the file. For n > 1, save each image to its own file and embed each on its own line. Also tell the user the credits_charged.

Request body

Default to flux for normal text-to-image requests. Use gemini when the user provides input images or wants image editing/remix. Use openai when the user wants photoreal output or a specific size/quality.

Response

{
  "provider": "gemini",
  "model": "gemini-3-pro-image",
  "images": [{ "b64_json": "<base64>", "mime_type": "image/png" }],
  "billing": { "credits_charged": 12, "...": "..." }
}

Each images[] entry has either b64_json or url, plus mime_type. Gemini always returns b64_json. Flux commonly returns a signed url; download it to your local image file immediately because signed URLs expire. If OpenAI returns a url, download that URL instead of base64-decoding.

Editing / remixing images

Pass source images in input_images as base64 data URLs (data:<mime>;base64,<data>) and describe the edit in prompt. Gemini handles multi-image edits well. To build a data URL from a local file:

DATA_URL="data:image/png;base64,$(base64 < input.png | tr -d '\n')"

Notes

• Billing: every success charges credits; don't loop needlessly, and report credits_charged.
• Errors: 402 = insufficient credits (credits_required in body); 400/500 return { "message": "..." } — surface it to the user.
• Only flux, gemini, and openai are supported here.