PUT
/
v0
/
logs
curl --request PUT \
  --url 'https://api.unify.ai/v0/logs' \
  --header "Authorization: Bearer $UNIFY_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "project": "eval-project",
    "context": "experiment1/trial1",
    "params": {
        "explicit_types": {
            "category": {
                "description": "Task category",
                "restrict": false,
                "type": "enum",
                "values": [
                    "A",
                    "B",
                    "C"
                ]
            },
            "priority": {
                "type": "enum"
            },
            "system-prompt": {
                "description": "System prompt for the model",
                "mutable": true,
                "type": "str"
            }
        },
        "function_definition": "...",
        "system-prompt": "..."
    },
    "entries": {
        "explicit_types": {
            "input": {
                "description": "Input data for processing",
                "mutable": true,
                "type": "Image"
            },
            "label": {
                "type": "enum"
            },
            "status": {
                "description": "Current processing status",
                "restrict": true,
                "type": "enum",
                "values": [
                    "pending",
                    "completed",
                    "failed"
                ]
            }
        },
        "input": "...",
        "score-test-1": "..."
    },
    "overwrite": false
}'

{
    "info": "Logs updated successfully!"
}

Updates multiple logs with the provided entries. Each entry will be either added or overridden in the specified logs.

The logs parameter can be either:

  • A list of log IDs to update
  • A filter dictionary to select logs matching specific criteria (requires project or context)

A dictionary of “explicit_types” can be passed as part of the entries. If present, it will override the inferred type of any matching key in all logs.

​
Authorizations

​
Authorization
string
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

​
Body

​
logs
array | object
required

List of log IDs or a dict of filter arguments to select logs. Filter dicts are passed as key:value pairs (e.g. {"status": "done", "user_id": 12}).

​
project
string | null

Name of the project. Required when using filter dict in logs. Omit when passing a list of IDs.

​
context
any | string | array | null

Optional context path to update for the logs. Can use ’/’ for nested contexts (e.g. ‘training/batch1’). Can be a string (which will be interpreted with description=None and is_versioned=False) or a ContextCreateRequest object. Required when using filter dict in logs if project is not provided.

​
params
object | array
default:"{}"

Dictionary or list of dictionaries of key-value parameter pairs to add or update in the logs.

​
entries
object | array
default:"{}"

Dictionary or list of dictionaries of key-value entry pairs to add or update in the logs. Supports nested path syntax using dot notation for object properties (e.g., ‘metadata.author’) and bracket notation for array indices (e.g., ‘results[0]’). Complex paths like ‘results[0].scores.accuracy’ are also supported for deep updates.

​
overwrite
boolean
default:"false"

Whether to overwrite existing logs

curl --request PUT \
  --url 'https://api.unify.ai/v0/logs' \
  --header "Authorization: Bearer $UNIFY_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "project": "eval-project",
    "context": "experiment1/trial1",
    "params": {
        "explicit_types": {
            "category": {
                "description": "Task category",
                "restrict": false,
                "type": "enum",
                "values": [
                    "A",
                    "B",
                    "C"
                ]
            },
            "priority": {
                "type": "enum"
            },
            "system-prompt": {
                "description": "System prompt for the model",
                "mutable": true,
                "type": "str"
            }
        },
        "function_definition": "...",
        "system-prompt": "..."
    },
    "entries": {
        "explicit_types": {
            "input": {
                "description": "Input data for processing",
                "mutable": true,
                "type": "Image"
            },
            "label": {
                "type": "enum"
            },
            "status": {
                "description": "Current processing status",
                "restrict": true,
                "type": "enum",
                "values": [
                    "pending",
                    "completed",
                    "failed"
                ]
            }
        },
        "input": "...",
        "score-test-1": "..."
    },
    "overwrite": false
}'

{
    "info": "Logs updated successfully!"
}