{
  "opencollection": "1.0.0",
  "info": {
    "name": "EvolutionaryScale Forge ESM3 Embeddings Sampling API",
    "version": "2024-08-01"
  },
  "request": {
    "auth": {
      "type": "bearer",
      "token": "{{bearerToken}}"
    }
  },
  "items": [
    {
      "info": {
        "name": "Sampling",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Forward And Sample",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://forge.evolutionaryscale.ai/api/v1/forward_and_sample",
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Executes a single forward pass of ESM3 against a tokenized protein and samples tokens according to a `SamplingConfig`. Intended for power users who need fine-grained control over each iteration (for example, chain-of-thought protein design or custom sampling schedules).\n"
        },
        {
          "info": {
            "name": "Get Logits And Embeddings",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://forge.evolutionaryscale.ai/api/v1/logits",
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Returns raw per-position logits, embeddings, and optional hidden states for a tokenized protein. The SDK discourages routine use because logits payloads are large; prefer encode + forward_and_sample for typical workflows.\n"
        },
        {
          "info": {
            "name": "Get ESM C Logits And Embeddings",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://forge.evolutionaryscale.ai/api/v1/esmc/logits",
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Returns per-residue sequence logits and (optionally) embeddings or hidden states for an `ESMProteinTensor` produced by `esmc/encode`. Use for representation learning, classification heads, mutational effect prediction, and similar downstream tasks.\n"
        }
      ]
    }
  ],
  "bundled": true
}