updated docs

api-reference/llm_queries/chat_completions.mdx

@@ -194,8 +194,8 @@ curl --request POST \
     "response_format": "{ \"type\": \"json_mode\"}",
     "seed": 11,
     "stream_options": [
-        "include_usage",
-        true
+        true,
+        "include_usage"
     ],
     "top_p": 0.5,
     "tool_choice": "{\"type\": \"function\", \"function\": {\"name\": \"my_function\"}}",
@@ -218,7 +218,7 @@ url = "https://api.unify.ai/v0/chat/completions"
 
 headers = {"Authorization": "Bearer <token>"}
 
-json_input = {"messages": [{"content": "Tell me a joke", "role": "user"}], "model": "gpt-4o-mini@openai", "max_tokens": 1024, "stop": ["The End.", " is the answer."], "stream": False, "temperature": 0.9, "frequency_penalty": 1.5, "logit_bias": {"0": 10, "1": -75, "2": 90}, "logprobs": False, "top_logprobs": 15, "n": 15, "presence_penalty": -1.1, "response_format": "{ "type": "json_mode"}", "seed": 11, "stream_options": ["include_usage", True], "top_p": 0.5, "tool_choice": "{"type": "function", "function": {"name": "my_function"}}", "parallel_tool_calls": True, "user": "some_user", "signature": "python", "use_custom_keys": True, "tags": ["user123", "CompanyABC"], "drop_params": True}
+json_input = {"messages": [{"content": "Tell me a joke", "role": "user"}], "model": "gpt-4o-mini@openai", "max_tokens": 1024, "stop": ["The End.", " is the answer."], "stream": False, "temperature": 0.9, "frequency_penalty": 1.5, "logit_bias": {"0": 10, "1": -75, "2": 90}, "logprobs": False, "top_logprobs": 15, "n": 15, "presence_penalty": -1.1, "response_format": "{ "type": "json_mode"}", "seed": 11, "stream_options": [True, "include_usage"], "top_p": 0.5, "tool_choice": "{"type": "function", "function": {"name": "my_function"}}", "parallel_tool_calls": True, "user": "some_user", "signature": "python", "use_custom_keys": True, "tags": ["user123", "CompanyABC"], "drop_params": True}
 
 response = requests.request("POST", url, json=json_input, headers=headers)
 

api-reference/logs/create_log.mdx → api-reference/logs/create_logs.mdx

@@ -1,15 +1,15 @@
 ---
-title: 'Create Log'
-api: 'POST /v0/log'
+title: 'Create Logs'
+api: 'POST /v0/logs'
 ---
-Creates a log associated to a project. Logs are
+Creates one or more logs associated to a project. Logs are
 LLM-call-level data that might depend on other variables.
 
 A "explicit_types" dictionary can be passed as part of the `entries`.
 If present, any matching key inside this dictionary will override the
 inferred type of that particular entry.
 
-This method returns the id of the new stored log.
+This method returns the ids of the new stored logs.
 
 #### Authorizations
 
@@ -23,12 +23,12 @@ This method returns the id of the new stored log.
 Name of the project the stored entries will be associated to.
 </ParamField>
 
-<ParamField body="params" type="object"  default={{}}>
-Dictionary containing one or more key:value pairs that will be logged into the platform. Parameters will be automatically versioned based on their values. Values must be JSON serializable. If a `explicit_types` dictionary is present, its values will override the inferred types of the entries.
+<ParamField body="params" type="object | array"  default={{}}>
+Dictionary containing one or more key:value pairs that will be logged into the platform. Can be either a single dictionary or a list of dictionaries for batch processing. When using lists for both params and entries, their lengths must match. Parameters will be automatically versioned based on their values. Values must be JSON serializable. If a `explicit_types` dictionary is present, its values will override the inferred types of the entries.
 </ParamField>
 
-<ParamField body="entries" type="object"  default={{}}>
-Dictionary containing one or more key:value pairs that will be logged into the platform. Values must be JSON serializable. If a `explicit_types` dictionary is present, its values will override the inferred types of the entries.
+<ParamField body="entries" type="object | array"  default={{}}>
+Dictionary containing one or more key:value pairs that will be logged into the platform. Can be either a single dictionary or a list of dictionaries for batch processing. When using lists for both params and entries, their lengths must match. Values must be JSON serializable. If a `explicit_types` dictionary is present, its values will override the inferred types of the entries.
 </ParamField>
 
 <ParamField body="strongly_typed" type="boolean | array"  default={true}>
@@ -39,36 +39,22 @@ Enforce strong typing for fields.
 
 ```bash cURL
 curl --request POST \
-  --url 'https://api.unify.ai/v0/log' \
+  --url 'https://api.unify.ai/v0/logs' \
   --header "Authorization: Bearer $UNIFY_KEY" \
   --header 'Content-Type: application/json' \
   --data '{
-    "project": "eval-project",
-    "params": {
-        "explicit_types": {
-            "system-prompt": "str"
-        },
-        "function_definition": "...",
-        "system-prompt": "..."
-    },
-    "entries": {
-        "explicit_types": {
-            "input": "Image"
-        },
-        "input": "...",
-        "score-test-1": "..."
-    }
+    "project": "eval-project"
 }'
 ```
 
 ```python Python
 import requests
 
-url = "https://api.unify.ai/v0/log"
+url = "https://api.unify.ai/v0/logs"
 
 headers = {"Authorization": "Bearer <token>"}
 
-json_input = {"project": "eval-project", "params": {"explicit_types": {"system-prompt": "str"}, "function_definition": "...", "system-prompt": "..."}, "entries": {"explicit_types": {"input": "Image"}, "input": "...", "score-test-1": "..."}}
+json_input = {"project": "eval-project"}
 
 response = requests.request("POST", url, json=json_input, headers=headers)
 
@@ -80,7 +66,12 @@ print(response.text)
 
 ```json 200
 {
-    "info": "Log created successfully!"
+    "info": "Logs created successfully!",
+    "log_event_ids": [
+        1,
+        2,
+        3
+    ]
 }
 ```