Revert "feat: add batches API with OpenAI compatibility" (#3149)

Reverts llamastack/llama-stack#3088

The PR broke integration tests.

docs/_static/llama-stack-spec.html

@@ -14767,8 +14767,7 @@
             "OpenAIFilePurpose": {
                 "type": "string",
                 "enum": [
-                    "assistants",
-                    "batch"
+                    "assistants"
                 ],
                 "title": "OpenAIFilePurpose",
                 "description": "Valid purpose values for OpenAI Files API."
@@ -14845,8 +14844,7 @@
                     "purpose": {
                         "type": "string",
                         "enum": [
-                            "assistants",
-                            "batch"
+                            "assistants"
                         ],
                         "description": "The intended purpose of the file"
                     }

docs/_static/llama-stack-spec.yaml

@@ -10951,7 +10951,6 @@ components:
       type: string
       enum:
         - assistants
-        - batch
       title: OpenAIFilePurpose
       description: >-
         Valid purpose values for OpenAI Files API.
@@ -11020,7 +11019,6 @@ components:
           type: string
           enum:
             - assistants
-            - batch
           description: The intended purpose of the file
       additionalProperties: false
       required:

docs/source/concepts/apis.md

@@ -18,4 +18,3 @@ We are working on adding a few more APIs to complete the application lifecycle.
 - **Batch Inference**: run inference on a dataset of inputs
 - **Batch Agents**: run agents on a dataset of inputs
 - **Synthetic Data Generation**: generate synthetic data for model development
-- **Batches**: OpenAI-compatible batch management for inference

docs/source/providers/agents/index.md

@@ -2,15 +2,6 @@
 
 ## Overview
 
-Agents API for creating and interacting with agentic systems.
-
-    Main functionalities provided by this API:
-    - Create agents with specific instructions and ability to use tools.
-    - Interactions with agents are grouped into sessions ("threads"), and each interaction is called a "turn".
-    - Agents can be provided with various tools (see the ToolGroups and ToolRuntime APIs for more details).
-    - Agents can be provided with various shields (see the Safety API for more details).
-    - Agents can also use Memory to retrieve information from knowledge bases. See the RAG Tool and Vector IO APIs for more details.
-
 This section contains documentation for all available providers for the **agents** API.
 
 ## Providers

docs/source/providers/batches/index.md

@@ -1,21 +0,0 @@
-# Batches
-
-## Overview
-
-Protocol for batch processing API operations.
-
-    The Batches API enables efficient processing of multiple requests in a single operation,
-    particularly useful for processing large datasets, batch evaluation workflows, and
-    cost-effective inference at scale.
-
-    Note: This API is currently under active development and may undergo changes.
-
-This section contains documentation for all available providers for the **batches** API.
-
-## Providers
-
-```{toctree}
-:maxdepth: 1
-
-inline_reference
-```

docs/source/providers/batches/inline_reference.md

@@ -1,23 +0,0 @@
-# inline::reference
-
-## Description
-
-Reference implementation of batches API with KVStore persistence.
-
-## Configuration
-
-| Field | Type | Required | Default | Description |
-|-------|------|----------|---------|-------------|
-| `kvstore` | `utils.kvstore.config.RedisKVStoreConfig \| utils.kvstore.config.SqliteKVStoreConfig \| utils.kvstore.config.PostgresKVStoreConfig \| utils.kvstore.config.MongoDBKVStoreConfig` | No | sqlite | Configuration for the key-value store backend. |
-| `max_concurrent_batches` | `<class 'int'>` | No | 1 | Maximum number of concurrent batches to process simultaneously. |
-| `max_concurrent_requests_per_batch` | `<class 'int'>` | No | 10 | Maximum number of concurrent requests to process per batch. |
-
-## Sample Configuration
-
-```yaml
-kvstore:
-  type: sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/dummy}/batches.db
-
-```
-

docs/source/providers/eval/index.md

@@ -2,8 +2,6 @@
 
 ## Overview
 
-Llama Stack Evaluation API for running evaluations on model and agent candidates.
-
 This section contains documentation for all available providers for the **eval** API.
 
 ## Providers

docs/source/providers/inference/index.md

@@ -2,12 +2,6 @@
 
 ## Overview
 
-Llama Stack Inference API for generating completions, chat completions, and embeddings.
-
-    This API provides the raw interface to the underlying models. Two kinds of models are supported:
-    - LLM models: these models generate "raw" and "chat" (conversational) completions.
-    - Embedding models: these models generate embeddings to be used for semantic search.
-
 This section contains documentation for all available providers for the **inference** API.
 
 ## Providers