Release 1.14.1

serde_yaml is deprecated and unmaintained. serde_yaml_ng is the community
fork with a compatible API, so this is a straightforward rename across the
codebase.

.pre-commit-config.yaml

@@ -0,0 +1,36 @@
+repos:
+  # Fast built-in hooks (Rust-native, no dependencies)
+  - repo: builtin
+    hooks:
+      - id: trailing-whitespace
+      - id: end-of-file-fixer
+      - id: check-yaml
+      - id: check-merge-conflict
+      - id: check-added-large-files
+        args: ['--maxkb=1024']
+
+  # Local hooks that run project-specific tools
+  - repo: local
+    hooks:
+      - id: cargo-fmt-check
+        name: Cargo Format Check
+        entry: cargo fmt --all -- --check
+        language: system
+        files: '\.rs$'
+        pass_filenames: false
+
+      - id: cargo-clippy
+        name: Cargo Clippy
+        entry: cargo clippy -- -D warnings
+        language: system
+        files: '\.rs$'
+        pass_filenames: false
+        priority: 100
+
+      - id: test-unit
+        name: Unit Tests
+        entry: just test
+        language: system
+        files: '\.rs$'
+        pass_filenames: false
+        priority: 100

CHANGELOG.md

@@ -1,3 +1,39 @@
+# (2026-02-10) Version 1.14.1
+
+- (**Security**) Dependency updates to fix security vulnerabilities ([time](https://crates.io/crates/time) stack exhaustion DoS, [bytes](https://crates.io/crates/bytes) integer overflow), via [mxlink](https://crates.io/crates/mxlink) 1.12.0
+
+- (**Internal Improvement**) Switch from deprecated [serde_yaml](https://crates.io/crates/serde_yaml) to its maintained fork [serde_yaml_ng](https://crates.io/crates/serde_yaml_ng)
+
+- (**Internal Improvement**) Add [prek](https://github.com/nicholasgasior/prek) pre-commit hooks via [mise](https://mise.jdx.dev/) for automated code quality checks (formatting, clippy, tests)
+
+- (**Internal Improvement**) Fix clippy warnings and formatting issues
+
+
+# (2026-02-04) Version 1.14.0
+
+- (**Feature**) The `openai` provider now uses OpenAI's [Responses API](https://platform.openai.com/docs/api-reference/responses) (instead of the older Chat Completions API), adding support for [🛠️ built-in tools](./docs/features.md#️-built-in-tools-openai-only) (`web_search` and `code_interpreter`). These tools are **disabled by default** and can be enabled via the `text_generation.tools` configuration (see the [sample configuration](https://github.com/etkecc/baibot/blob/c70387b0c38d8d0f30bba2179a2a21a3710dbeaf/docs/sample-provider-configs/openai.yml#L12-L15)). To enable tools on an existing agent, you need to [update the agent](./docs/agents.md#updating-agents) to re-create it with the `text_generation.tools` section added and enable the tools you need. Thanks to [Layla Manley](https://github.com/yeslayla) for the contribution in [#62](https://github.com/etkecc/baibot/pull/62)!
+
+- (**Bugfix**) Fix sticker generation for newer GPT image models (`gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`) which don't support the previously hardcoded `256x256` size (minimum is `1024x1024`)
+
+- (**Internal Improvement**) Dependency updates
+
+
+# (2026-01-23) Version 1.13.0
+
+- (**Improvement**) Extend auto-switching to support cheaper models (`gpt-image-1-mini`) for `gpt-image-1` and `gpt-image-1.5` when generating stickers ([e0b4a40](https://github.com/etkecc/baibot/commit/e0b4a40))
+
+- (**Internal Improvement**) Upgrade Rust compiler (1.92.0 -> 1.93.0) ([691aeeb](https://github.com/etkecc/baibot/commit/691aeeb))
+
+- (**Internal Improvement**) Dependency updates
+
+
+# (2025-12-21) Version 1.12.0
+
+- (**Improvement**) Upgrade [async-openai](https://crates.io/crates/async-openai) (0.31.1 -> 0.32.2) and add support for OpenAI's `gpt-image-1.5` model ([08c689a](https://github.com/etkecc/baibot/commit/08c689a), [f7bf3d7](https://github.com/etkecc/baibot/commit/f7bf3d7))
+
+- (**Internal Improvement**) Dependency updates
+
+
 # (2025-12-15) Version 1.11.0
 
 - (**Feature**) Add support for custom avatars via file path and for keeping the already-set avatar (for those who wish to manage it by themselves via other means). See the [sample config](./etc/app/config.yml.dist) for details. ([062fbbb](https://github.com/etkecc/baibot/commit/062fbbb8ef9ad600db483a431c5c782402191023))

Cargo.toml

@@ -7,7 +7,7 @@ license = "AGPL-3.0-or-later"
 readme = "README.md"
 keywords = ["matrix", "chat", "bot", "AI", "LLM"]
 include = ["/etc/assets/baibot-torso-768.png", "/src", "/README.md", "/CHANGELOG.md", "/LICENSE"]
-version = "1.11.0"
+version = "1.14.1"
 edition = "2024"
 
 [lib]
@@ -17,7 +17,7 @@ path = "src/lib.rs"
 [dependencies]
 anthropic = { git = "https://github.com/etkecc/anthropic-rs.git", branch = "fix-content-block-image" }
 anyhow = "1.0.*"
-async-openai = { version = "0.31.1", features = ["audio", "chat-completion", "image"] }
+async-openai = { version = "0.32.4", features = ["audio", "chat-completion", "image", "responses"] }
 base64 = "0.22.*"
 chrono = { version = "0.4.*", default-features = false, features = ["std", "now"] }
 # We'd rather not depend on this, but we cannot use the ruma-events EventContent macro without it.
@@ -25,16 +25,16 @@ chrono = { version = "0.4.*", default-features = false, features = ["std", "now"
 matrix-sdk = { version = "0.16.0", default-features = false, features = ["native-tls"] }
 mime_guess = "2.0.*"
 mxidwc = "1.0.*"
-mxlink = ">=1.11.0"
+mxlink = ">=1.12.0"
 etke_openai_api_rust = "0.1.*"
 quick_cache = "0.6.*"
 regex = "1.12.*"
 serde = { version = "1.0.*", features = ["derive"], default-features = false }
 serde_json = "1.0.*"
-serde_yaml = "0.9.*"
-tempfile = "3.23.*"
+serde_yaml_ng = "0.10.*"
+tempfile = "3.25.*"
 tiktoken-rs = { version = "0.9.*", default-features = false }
-tokio = { version = "1.48.*", features = ["rt", "rt-multi-thread", "macros"] }
+tokio = { version = "1.49.*", features = ["rt", "rt-multi-thread", "macros"] }
 tracing = "0.1.*"
 tracing-subscriber = { version = "0.3.*", features = ["env-filter"] }
 url = "2.5.*"

Dockerfile

@@ -4,7 +4,7 @@
 #                                     #
 #######################################
 
-FROM docker.io/rust:1.92.0-slim-trixie AS build
+FROM docker.io/rust:1.93.0-slim-trixie AS build
 
 RUN apt-get update && apt-get install -y build-essential pkg-config libssl-dev libsqlite3-dev
 

Dockerfile.ci

@@ -4,7 +4,7 @@
 #                                     #
 #######################################
 
-FROM docker.io/rust:1.92.0-slim-trixie AS build
+FROM docker.io/rust:1.93.0-slim-trixie AS build
 
 RUN apt-get update && apt-get install -y build-essential pkg-config libssl-dev libsqlite3-dev
 

README.md

@@ -17,7 +17,7 @@ It's influenced by [chaz](https://github.com/arcuru/chaz), but does **not** use
 
 - Supports **different use purposes** (depending on the [☁️ provider](./docs/providers.md) & model):
 
-  - [💬 text-generation](./docs/features.md#-text-generation): communicating with you via text (though certain models may "see" images as well)
+  - [💬 text-generation](./docs/features.md#-text-generation): communicating with you via text (though certain models may "see" images as well). The [OpenAI provider](./docs/providers.md#openai) also supports [🛠️ built-in tools](./docs/features.md#️-built-in-tools-openai-only) (web search, code interpreter)
   - [🦻 speech-to-text](./docs/features.md#-speech-to-text): turning your voice messages into text
   - [🗣️ text-to-speech](./docs/features.md#%EF%B8%8F-text-to-speech): turning bot or users text messages into voice messages
   - [🖌️ image-generation](./docs/features.md#image-generation): creating and editing images based on instructions

docs/features.md

@@ -40,6 +40,23 @@ You may also wish to see:
 - [📖 Usage / 💬 Text Generation](./usage.md#-text-generation) section for more details on how to use the bot for Text Generation in a room
 
 
+#### 🛠️ Built-in Tools (OpenAI only)
+
+
+
+The [OpenAI provider](./providers.md#openai) supports built-in tools that extend the model's capabilities:
+
+- [🔍 Web Search](https://platform.openai.com/docs/guides/tools-web-search) (`web_search`): allows the model to search the web for up-to-date information. [🖼️ Screenshot](./screenshots/text-generation-tools-web-search.webp)
+
+- [💻 Code Interpreter](https://platform.openai.com/docs/guides/tools-code-interpreter) (`code_interpreter`): allows the model to write and execute Python code in a sandbox
+
+These tools are **disabled by default** and need to be explicitly enabled in the agent's `text_generation.tools` configuration. See the [OpenAI sample configuration](https://github.com/etkecc/baibot/blob/c70387b0c38d8d0f30bba2179a2a21a3710dbeaf/docs/sample-provider-configs/openai.yml#L12-L15) for reference.
+
+To enable tools on an existing dynamically-created agent, you need to [update the agent](./agents.md#updating-agents) to re-create it with the `text_generation.tools` section added and enable the tools you need
+
+💡 **Note**: These tools run on OpenAI's infrastructure and may incur additional costs. Web search results include citations that are incorporated into the response.
+
+
 #### On-demand involvement
 
 In the following 2 cases, it's useful to involve the bot in conversations on-demand:

docs/providers.md

@@ -23,7 +23,7 @@ The list of supported providers is below.
 
 ### How to choose a provider
 
-If you're not sure which provider to start with, **we recommend [OpenAI](#openai)** as it's the most popular and has the **widest range of capabilities**: [💬 text-generation](./features.md#-text-generation) (no vision), [🖌️ image-generation](./features.md#️image-generation), [🦻 speech-to-text](./features.md#-speech-to-text), [🗣️ text-to-speech](./features.md#️-text-to-speech).
+If you're not sure which provider to start with, **we recommend [OpenAI](#openai)** as it's the most popular and has the **widest range of capabilities**: [💬 text-generation](./features.md#-text-generation) (incl. vision, incl. [🛠️ tools](./features.md#️-built-in-tools-openai-only)), [🖌️ image-generation](./features.md#️image-generation), [🦻 speech-to-text](./features.md#-speech-to-text), [🗣️ text-to-speech](./features.md#️-text-to-speech).
 
 You don't need to choose just one though. The bot supports [mixing & matching models](./features.md#-mixing--matching-models), so you can use multiple providers at the same time.
 
@@ -47,7 +47,7 @@ You don't need to choose just one though. The bot supports [mixing & matching mo
 
 - 🆔 Identifier: `anthropic`
 - 🔗 Links: [🏠 Home page](https://www.anthropic.com/), [🌐 Wiki](https://en.wikipedia.org/wiki/Anthropic), [👤 Sign up](https://console.anthropic.com/), [📋 Models list](https://docs.anthropic.com/en/docs/about-claude/models)
-- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (incl. vision)
+- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (incl. vision, no tools)
 - 🗲 Quick start:
   - create a room-local agent: `!bai agent create-room-local anthropic my-anthropic-agent`
   - create a global agent: `!bai agent create-global anthropic my-anthropic-agent`
@@ -61,7 +61,7 @@ You don't need to choose just one though. The bot supports [mixing & matching mo
 
 - 🆔 Identifier: `groq`
 - 🔗 Links: [🏠 Home page](https://groq.com/), [🌐 Wiki](https://en.wikipedia.org/wiki/Groq), [👤 Sign up](https://console.groq.com/login), [📋 Models list](https://console.groq.com/docs/models)
-- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (no vision), [🦻 speech-to-text](./features.md#-speech-to-text)
+- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (no vision, no tools), [🦻 speech-to-text](./features.md#-speech-to-text)
 - 🗲 Quick start:
   - create a room-local agent: `!bai agent create-room-local groq my-groq-agent`
   - create a global agent: `!bai agent create-global groq my-groq-agent`
@@ -75,7 +75,7 @@ You don't need to choose just one though. The bot supports [mixing & matching mo
 
 - 🆔 Identifier: `localai`
 - 🔗 Links: [🏠 Home page](https://localai.io/), [📋 Models list](https://localai.io/gallery.html)
-- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (no vision), [🗣️ text-to-speech](./features.md#️-text-to-speech), [🦻 speech-to-text](./features.md#-speech-to-text)
+- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (no vision, no tools), [🗣️ text-to-speech](./features.md#️-text-to-speech), [🦻 speech-to-text](./features.md#-speech-to-text)
 - 🗲 Quick start:
   - create a room-local agent: `!bai agent create-room-local localai my-localai-agent`
   - create a global agent: `!bai agent create-global localai my-localai-agent`
@@ -89,7 +89,7 @@ You don't need to choose just one though. The bot supports [mixing & matching mo
 
 - 🆔 Identifier: `mistral`
 - 🔗 Links: [🏠 Home page](https://mistral.ai/), [🌐 Wiki](https://en.wikipedia.org/wiki/Mistral_AI), [👤 Sign up](https://auth.mistral.ai/ui/registration), [📋 Models list](https://docs.mistral.ai/getting-started/models/)
-- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (no vision)
+- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (no vision, no tools)
 - 🗲 Quick start:
   - create a room-local agent: `!bai agent create-room-local mistral my-mistral-agent`
   - create a global agent: `!bai agent create-global mistral my-mistral-agent`
@@ -103,7 +103,7 @@ You don't need to choose just one though. The bot supports [mixing & matching mo
 
 - 🆔 Identifier: `ollama`
 - 🔗 Links: [🏠 Home page](https://ollama.com/), [📋 Models list](https://ollama.com/library)
-- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (no vision)
+- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (no vision, no tools)
 - 🗲 Quick start:
   - create a room-local agent: `!bai agent create-room-local ollama my-ollama-agent`
   - create a global agent: `!bai agent create-global ollama my-ollama-agent`
@@ -120,7 +120,7 @@ For services which are not fully compatible with the OpenAI API, consider using
 
 - 🆔 Identifier: `openai`
 - 🔗 Links: [🏠 Home page](https://openai.com/), [🌐 Wiki](https://en.wikipedia.org/wiki/OpenAI), [👤 Sign up](https://platform.openai.com/signup), [📋 Models list](https://platform.openai.com/docs/models)
-- 🌟 Capabilities: [🖌️ image-generation](./features.md#️-image-creation), [💬 text-generation](./features.md#-text-generation) (incl. vision), [🗣️ text-to-speech](./features.md#️-text-to-speech), [🦻 speech-to-text](./features.md#-speech-to-text)
+- 🌟 Capabilities: [🖌️ image-generation](./features.md#️-image-creation), [💬 text-generation](./features.md#-text-generation) (incl. vision, incl. [🛠️ tools](./features.md#️-built-in-tools-openai-only)), [🗣️ text-to-speech](./features.md#️-text-to-speech), [🦻 speech-to-text](./features.md#-speech-to-text)
 - 🗲 Quick start:
   - create a room-local agent: `!bai agent create-room-local openai my-openai-agent`
   - create a global agent: `!bai agent create-global openai my-openai-agent`
@@ -137,7 +137,7 @@ Some of these popular services already have **shortcut** providers (leading to t
 This provider is just as featureful as the [OpenAI](#openai) provider, but is more compatible with services which do not fully adhere to the [OpenAI API spec](https://github.com/openai/openai-openapi/).
 
 - 🆔 Identifier: `openai-compatible`
-- 🌟 Capabilities: [🖌️ image-generation](./features.md#️-image-creation), [💬 text-generation](./features.md#-text-generation) (no vision), [🗣️ text-to-speech](./features.md#️-text-to-speech), [🦻 speech-to-text](./features.md#-speech-to-text)
+- 🌟 Capabilities: [🖌️ image-generation](./features.md#️-image-creation), [💬 text-generation](./features.md#-text-generation) (no vision, no tools), [🗣️ text-to-speech](./features.md#️-text-to-speech), [🦻 speech-to-text](./features.md#-speech-to-text)
 - 🗲 Quick start:
   - create a room-local agent: `!bai agent create-room-local openai-compatible my-openai-compatible-agent`
   - create a global agent: `!bai agent create-global openai-compatible my-openai-compatible-agent`
@@ -151,7 +151,7 @@ This provider is just as featureful as the [OpenAI](#openai) provider, but is mo
 
 - 🆔 Identifier: `openrouter`
 - 🔗 Links: [🏠 Home page](https://openrouter.ai/), [👤 Sign up](https://openrouter.ai/), [📋 Models list](https://openrouter.ai/models)
-- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (no vision)
+- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (no vision, no tools)
 - 🗲 Quick start:
   - create a room-local agent: `!bai agent create-room-local openrouter my-openrouter-agent`
   - create a global agent: `!bai agent create-global openrouter my-openrouter-agent`
@@ -165,7 +165,7 @@ This provider is just as featureful as the [OpenAI](#openai) provider, but is mo
 
 - 🆔 Identifier: `together-ai`
 - 🔗 Links: [🏠 Home page](https://www.together.ai/), [👤 Sign up](https://api.together.ai/signup), [📋 Models list](https://api.together.xyz/models)
-- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (no vision)
+- 🌟 Capabilities: [💬 text-generation](./features.md#-text-generation) (no vision, no tools)
 - 🗲 Quick start:
   - create a room-local agent: `!bai agent create-room-local together-ai my-together-ai-agent`
   - create a global agent: `!bai agent create-global together-ai my-together-ai-agent`

docs/sample-provider-configs/openai.yml

@@ -9,6 +9,10 @@ text_generation:
   max_response_tokens: null
   max_completion_tokens: 128000
   max_context_tokens: 400000
+  # Built-in tools
+  tools:
+    web_search: false
+    code_interpreter: false
 speech_to_text:
   model_id: whisper-1
 text_to_speech:
@@ -17,7 +21,7 @@ text_to_speech:
   speed: 1.0
   response_format: opus
 image_generation:
-  model_id: gpt-image-1
+  model_id: gpt-image-1.5
   style: null
   size: null
   quality: null

etc/app/config.yml.dist

@@ -90,6 +90,10 @@ agents:
     #       max_response_tokens: null
     #       max_completion_tokens: 128000
     #       max_context_tokens: 400000
+    #       # Built-in tools
+    #       tools:
+    #         web_search: false
+    #         code_interpreter: false
     #     speech_to_text:
     #       model_id: whisper-1
     #     text_to_speech:
@@ -98,7 +102,7 @@ agents:
     #       speed: 1.0
     #       response_format: opus
     #     image_generation:
-    #       model_id: gpt-image-1
+    #       model_id: gpt-image-1.5
     #       style: null
     #       size: null
     #       quality: null

etc/services/core/compose.yml

@@ -14,7 +14,7 @@ services:
     - /etc/passwd:/etc/passwd:ro
 
   synapse:
-    image: ghcr.io/element-hq/synapse:v1.144.0
+    image: ghcr.io/element-hq/synapse:v1.146.0
     user: "${UID}:${GID}"
     restart: unless-stopped
     entrypoint: python
@@ -27,7 +27,7 @@ services:
     - ./synapse/media-store:/media-store
 
   element-web:
-    image: ghcr.io/element-hq/element-web:v1.12.6
+    image: ghcr.io/element-hq/element-web:v1.12.9
     user: "${UID}:${GID}"
     restart: unless-stopped
     environment:

etc/services/ollama/compose.yml

@@ -1,6 +1,6 @@
 services:
   ollama:
-    image: docker.io/ollama/ollama:0.13.3
+    image: docker.io/ollama/ollama:0.15.4
     restart: unless-stopped
     ports:
       - "${SERVICE_OLLAMA_BIND_PORT_HTTP}:11434"

justfile

@@ -2,6 +2,9 @@ project_name := "baibot"
 container_image_name := "localhost/baibot"
 project_container_network := "baibot"
 
+mise_data_dir := env("MISE_DATA_DIR", justfile_directory() / "var/mise")
+mise_trusted_config_paths := justfile_directory() / "mise.toml"
+
 # Show help by default
 default:
 	@just --list --justfile {{ justfile() }}
@@ -159,6 +162,44 @@ synapse-register-regular-user username password: services-prepare
 clippy *extra_args:
 	cargo clippy {{ extra_args }}
 
+# Checks that the code compiles without building
+check:
+	cargo check
+
+# Invokes mise with the project-local data directory
+mise *args: _ensure_mise_data_directory
+	#!/bin/sh
+	export MISE_DATA_DIR="{{ mise_data_dir }}"
+	export MISE_TRUSTED_CONFIG_PATHS="{{ mise_trusted_config_paths }}"
+	mise {{ args }}
+
+# Runs prek (pre-commit hooks manager) with the given arguments
+prek *args: _ensure_mise_tools_installed
+	@just --justfile {{ justfile() }} mise exec -- prek {{ args }}
+
+# Runs pre-commit hooks on staged files
+prek-run-on-staged *args: _ensure_mise_tools_installed
+	@just --justfile {{ justfile() }} mise exec -- prek run {{ args }}
+
+# Runs pre-commit hooks on all files
+prek-run-on-all *args: _ensure_mise_tools_installed
+	@just --justfile {{ justfile() }} mise exec -- prek run --all-files {{ args }}
+
+# Installs the git pre-commit hook (runs prek automatically before each commit)
+prek-install-git-pre-commit-hook: _ensure_mise_tools_installed
+	@just --justfile {{ justfile() }} mise exec -- prek install
+
+# Internal - ensures var/mise directory exists
+_ensure_mise_data_directory:
+	#!/bin/sh
+	if [ ! -d "{{ mise_data_dir }}" ]; then
+		mkdir -p "{{ mise_data_dir }}"
+	fi
+
+# Internal - ensures mise tools are installed
+_ensure_mise_tools_installed: _ensure_mise_data_directory
+	@just --justfile {{ justfile() }} mise install --quiet
+
 _prepare-var-services-env:
 	#!/bin/sh
 	cd {{ justfile_directory() }};
@@ -248,4 +289,3 @@ _prepare-var-app-container-data:
 	if [ ! -f var/app/container/data ]; then
 		mkdir -p var/app/container/data
 	fi
-

mise.toml

@@ -0,0 +1,6 @@
+[tools]
+prek = "0.3.2"
+
+[settings]
+# Disable automatic trust prompts - we trust this config
+yes = true

src/agent/definition.rs

@@ -33,11 +33,11 @@ pub struct AgentDefinition {
     )]
     pub provider: AgentProvider,
 
-    pub config: serde_yaml::Value,
+    pub config: serde_yaml_ng::Value,
 }
 
 impl AgentDefinition {
-    pub fn new(id: String, provider: AgentProvider, config: serde_yaml::Value) -> Self {
+    pub fn new(id: String, provider: AgentProvider, config: serde_yaml_ng::Value) -> Self {
         Self {
             id,
             provider,

src/agent/instantiation.rs

@@ -15,7 +15,7 @@ pub enum Error {
     // Contains the error from the constructor function
     ConstructionFailed(anyhow::Error),
     // Contains the error from the YAML deserialization function
-    Yaml(serde_yaml::Error),
+    Yaml(serde_yaml_ng::Error),
 }
 
 pub type Result<T> = std::result::Result<T, Error>;
@@ -69,7 +69,7 @@ pub(super) fn create(
 pub fn create_from_provider_and_yaml_value_config(
     provider: &AgentProvider,
     identifier: &PublicIdentifier,
-    config: serde_yaml::Value,
+    config: serde_yaml_ng::Value,
 ) -> Result<AgentInstance> {
     let definition = AgentDefinition::new(identifier.prefixless(), provider.to_owned(), config);
 
@@ -79,7 +79,7 @@ pub fn create_from_provider_and_yaml_value_config(
 fn create_controller_from_provider_and_json_value_config(
     agent_id: &str,
     provider: &AgentProvider,
-    config: serde_yaml::Value,
+    config: serde_yaml_ng::Value,
 ) -> Result<ControllerType> {
     match provider {
         AgentProvider::Anthropic => {
@@ -112,43 +112,43 @@ fn create_controller_from_provider_and_json_value_config(
     }
 }
 
-pub fn default_config_for_provider(provider: &AgentProvider) -> serde_yaml::Value {
+pub fn default_config_for_provider(provider: &AgentProvider) -> serde_yaml_ng::Value {
     match provider {
         AgentProvider::Anthropic => {
             let config = super::provider::anthropic::default_config();
-            serde_yaml::to_value(config).expect("Failed to serialize config")
+            serde_yaml_ng::to_value(config).expect("Failed to serialize config")
         }
         AgentProvider::Groq => {
             let config = super::provider::groq::default_config();
-            serde_yaml::to_value(config).expect("Failed to serialize config")
+            serde_yaml_ng::to_value(config).expect("Failed to serialize config")
         }
         AgentProvider::LocalAI => {
             let config = super::provider::localai::default_config();
-            serde_yaml::to_value(config).expect("Failed to serialize config")
+            serde_yaml_ng::to_value(config).expect("Failed to serialize config")
         }
         AgentProvider::Mistral => {
             let config = super::provider::mistral::default_config();
-            serde_yaml::to_value(config).expect("Failed to serialize config")
+            serde_yaml_ng::to_value(config).expect("Failed to serialize config")
         }
         AgentProvider::Ollama => {
             let config = super::provider::ollama::default_config();
-            serde_yaml::to_value(config).expect("Failed to serialize config")
+            serde_yaml_ng::to_value(config).expect("Failed to serialize config")
         }
         AgentProvider::OpenAI => {
             let config = super::provider::openai::default_config();
-            serde_yaml::to_value(config).expect("Failed to serialize config")
+            serde_yaml_ng::to_value(config).expect("Failed to serialize config")
         }
         AgentProvider::OpenAICompat => {
             let config = super::provider::openai_compat::default_config();
-            serde_yaml::to_value(config).expect("Failed to serialize config")
+            serde_yaml_ng::to_value(config).expect("Failed to serialize config")
         }
         AgentProvider::OpenRouter => {
             let config = super::provider::openrouter::default_config();
-            serde_yaml::to_value(config).expect("Failed to serialize config")
+            serde_yaml_ng::to_value(config).expect("Failed to serialize config")
         }
         AgentProvider::TogetherAI => {
             let config = super::provider::togetherai::default_config();
-            serde_yaml::to_value(config).expect("Failed to serialize config")
+            serde_yaml_ng::to_value(config).expect("Failed to serialize config")
         }
     }
 }

src/agent/provider/anthropic/controller.rs

@@ -146,10 +146,10 @@ impl ControllerTrait for Controller {
             .temperature_override
             .unwrap_or(text_generation_config.temperature);
 
-        if let Some(prompt_message) = prompt_message {
-            if let LLMMessageContent::Text(text) = &prompt_message.content {
-                request.system = text.clone();
-            }
+        if let Some(prompt_message) = prompt_message
+            && let LLMMessageContent::Text(text) = &prompt_message.content
+        {
+            request.system = text.clone();
         }
 
         request.model = text_generation_config.model_id.clone();

src/agent/provider/anthropic/mod.rs

@@ -12,12 +12,12 @@ use super::controller::ControllerType;
 
 pub fn create_controller_from_yaml_value_config(
     agent_id: &str,
-    config: serde_yaml::Value,
+    config: serde_yaml_ng::Value,
 ) -> AgentInstantiationResult<ControllerType> {
     let config = match &config {
-        serde_yaml::Value::Mapping(_) => {
+        serde_yaml_ng::Value::Mapping(_) => {
             let config: Config =
-                serde_yaml::from_value(config).map_err(AgentInstantiationError::Yaml)?;
+                serde_yaml_ng::from_value(config).map_err(AgentInstantiationError::Yaml)?;
 
             config
                 .validate()

src/agent/provider/entity/agent_provider.rs

@@ -69,6 +69,7 @@ impl AgentProvider {
                 models_list_url: Some("https://docs.anthropic.com/en/docs/about-claude/models"),
                 supported_purposes: vec![AgentPurpose::TextGeneration],
                 text_generation_supports_vision: true,
+                text_generation_supports_tools: false,
             },
             Self::Groq => AgentProviderInfo {
                 id: Self::Groq.to_static_str(),
@@ -80,11 +81,12 @@ impl AgentProvider {
                 models_list_url: Some("https://console.groq.com/docs/models"),
                 supported_purposes: vec![AgentPurpose::TextGeneration, AgentPurpose::SpeechToText],
                 text_generation_supports_vision: false,
+                text_generation_supports_tools: false,
             },
             Self::LocalAI => AgentProviderInfo {
                 id: Self::LocalAI.to_static_str(),
                 name: "LocalAI",
-                description: "LocalAI is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that’s compatible with OpenAI API specifications for local inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families and architectures.",
+                description: "LocalAI is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that's compatible with OpenAI API specifications for local inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families and architectures.",
                 homepage_url: Some("https://localai.io/"),
                 wiki_url: None,
                 sign_up_url: None,
@@ -95,6 +97,7 @@ impl AgentProvider {
                     AgentPurpose::SpeechToText,
                 ],
                 text_generation_supports_vision: false,
+                text_generation_supports_tools: false,
             },
             Self::Mistral => AgentProviderInfo {
                 id: Self::Mistral.to_static_str(),
@@ -106,6 +109,7 @@ impl AgentProvider {
                 models_list_url: Some("https://docs.mistral.ai/getting-started/models/"),
                 supported_purposes: vec![AgentPurpose::TextGeneration],
                 text_generation_supports_vision: false,
+                text_generation_supports_tools: false,
             },
             Self::Ollama => AgentProviderInfo {
                 id: Self::Ollama.to_static_str(),
@@ -117,6 +121,7 @@ impl AgentProvider {
                 models_list_url: Some("https://ollama.com/library"),
                 supported_purposes: vec![AgentPurpose::TextGeneration],
                 text_generation_supports_vision: false,
+                text_generation_supports_tools: false,
             },
             Self::OpenAI => AgentProviderInfo {
                 id: Self::OpenAI.to_static_str(),
@@ -133,6 +138,7 @@ impl AgentProvider {
                     AgentPurpose::SpeechToText,
                 ],
                 text_generation_supports_vision: true,
+                text_generation_supports_tools: true,
             },
             Self::OpenAICompat => AgentProviderInfo {
                 id: Self::OpenAICompat.to_static_str(),
@@ -149,6 +155,7 @@ impl AgentProvider {
                     AgentPurpose::SpeechToText,
                 ],
                 text_generation_supports_vision: false,
+                text_generation_supports_tools: false,
             },
             Self::OpenRouter => AgentProviderInfo {
                 id: Self::OpenRouter.to_static_str(),
@@ -160,6 +167,7 @@ impl AgentProvider {
                 models_list_url: Some("https://openrouter.ai/models"),
                 supported_purposes: vec![AgentPurpose::TextGeneration],
                 text_generation_supports_vision: false,
+                text_generation_supports_tools: false,
             },
             Self::TogetherAI => AgentProviderInfo {
                 id: Self::TogetherAI.to_static_str(),
@@ -171,6 +179,7 @@ impl AgentProvider {
                 models_list_url: Some("https://api.together.xyz/models"),
                 supported_purposes: vec![AgentPurpose::TextGeneration],
                 text_generation_supports_vision: false,
+                text_generation_supports_tools: false,
             },
         }
     }
@@ -192,4 +201,5 @@ pub struct AgentProviderInfo {
     pub models_list_url: Option<&'static str>,
     pub supported_purposes: Vec<AgentPurpose>,
     pub text_generation_supports_vision: bool,
+    pub text_generation_supports_tools: bool,
 }

src/agent/provider/entity/image.rs

@@ -2,7 +2,7 @@ use mxlink::mime;
 
 #[derive(Default)]
 pub struct ImageGenerationParams {
-    pub size_override: Option<String>,
+    pub smallest_size_possible: bool,
 
     pub cheaper_model_switching_allowed: bool,
 
@@ -10,8 +10,8 @@ pub struct ImageGenerationParams {
 }
 
 impl ImageGenerationParams {
-    pub fn with_size_override(mut self, value: Option<String>) -> Self {
-        self.size_override = value;
+    pub fn with_smallest_size_possible(mut self, value: bool) -> Self {
+        self.smallest_size_possible = value;
         self
     }
 

src/agent/provider/openai/config.rs

@@ -1,6 +1,6 @@
 use serde::{Deserialize, Serialize};
 
-use super::OPENAI_IMAGE_MODEL_GPT_IMAGE_1;
+use super::OPENAI_IMAGE_MODEL_GPT_IMAGE_1_DOT_5;
 use crate::agent::{default_prompt, provider::ConfigTrait};
 
 #[derive(Debug, Clone, Serialize, Deserialize)]
@@ -64,6 +64,9 @@ pub struct TextGenerationConfig {
 
     #[serde(default)]
     pub max_context_tokens: u32,
+
+    #[serde(default)]
+    pub tools: ToolsConfig,
 }
 
 impl Default for TextGenerationConfig {
@@ -75,6 +78,7 @@ impl Default for TextGenerationConfig {
             max_response_tokens: None,
             max_completion_tokens: Some(128_000),
             max_context_tokens: 400_000,
+            tools: ToolsConfig::default(),
         }
     }
 }
@@ -83,6 +87,15 @@ fn default_text_model_id() -> String {
     "gpt-5.2".to_owned()
 }
 
+#[derive(Debug, Clone, Serialize, Deserialize, Default)]
+pub struct ToolsConfig {
+    #[serde(default)]
+    pub web_search: bool,
+
+    #[serde(default)]
+    pub code_interpreter: bool,
+}
+
 #[derive(Debug, Clone, Serialize, Deserialize)]
 pub struct SpeechToTextConfig {
     #[serde(default = "default_speech_to_text_model_id")]
@@ -162,7 +175,7 @@ pub struct ImageGenerationConfig {
 impl Default for ImageGenerationConfig {
     fn default() -> Self {
         Self {
-            model_id: OPENAI_IMAGE_MODEL_GPT_IMAGE_1.to_owned(),
+            model_id: OPENAI_IMAGE_MODEL_GPT_IMAGE_1_DOT_5.to_owned(),
             style: default_image_style(),
             size: default_image_size(),
             quality: default_image_quality(),
@@ -178,8 +191,11 @@ impl ImageGenerationConfig {
             "dall-e-2" => Ok(async_openai::types::images::ImageModel::DallE2),
             "dall-e-3" => Ok(async_openai::types::images::ImageModel::DallE3),
             "gpt-image-1" => Ok(async_openai::types::images::ImageModel::GptImage1),
+            "gpt-image-1.5" => Ok(async_openai::types::images::ImageModel::GptImage1dot5),
             "gpt-image-1-mini" => Ok(async_openai::types::images::ImageModel::GptImage1Mini),
-            other => Ok(async_openai::types::images::ImageModel::Other(other.to_owned())),
+            other => Ok(async_openai::types::images::ImageModel::Other(
+                other.to_owned(),
+            )),
         }
     }
 }

src/agent/provider/openai/controller.rs

@@ -5,10 +5,13 @@ use async_openai::{
     config::OpenAIConfig,
     types::{
         audio::{AudioInput, CreateSpeechRequestArgs, CreateTranscriptionRequestArgs},
-        chat::{ChatCompletionRequestMessage, CreateChatCompletionRequestArgs},
         images::{
-            CreateImageEditRequestArgs, CreateImageRequestArgs,
-            Image, ImageInput, ImageModel, ImageResponseFormat,
+            CreateImageEditRequestArgs, CreateImageRequestArgs, Image, ImageInput, ImageModel,
+            ImageResponseFormat,
+        },
+        responses::{
+            CodeInterpreterContainerAuto, CodeInterpreterTool, CodeInterpreterToolContainer,
+            CreateResponseArgs, OutputItem, OutputMessageContent, Tool, WebSearchTool,
         },
     },
 };
@@ -28,12 +31,9 @@ use crate::{
 use crate::{
     agent::{
         AgentPurpose,
-        provider::{
-            entity::{
-                ImageEditResult, ImageGenerationResult, ImageSource, PingResult,
-                TextToSpeechParams, TextToSpeechResult,
-            },
-            openai::utils::convert_string_to_enum,
+        provider::entity::{
+            ImageEditResult, ImageGenerationResult, ImageSource, PingResult, TextToSpeechParams,
+            TextToSpeechResult,
         },
     },
     strings,
@@ -129,28 +129,45 @@ impl ControllerTrait for Controller {
             conversation_messages.insert(0, prompt_message);
         }
 
-        let openai_conversation_messages: Vec<ChatCompletionRequestMessage> =
-            super::utils::convert_llm_messages_to_openai_messages(conversation_messages);
+        let input =
+            super::utils::convert_llm_messages_to_openai_response_input(conversation_messages);
 
-        let messages_count = openai_conversation_messages.len();
+        let messages_count = match &input {
+            async_openai::types::responses::InputParam::Items(items) => items.len(),
+            _ => 1,
+        };
 
         let temperature = params
             .temperature_override
             .unwrap_or(text_generation_config.temperature);
 
-        let mut request_builder = CreateChatCompletionRequestArgs::default();
+        let mut request_builder = CreateResponseArgs::default();
 
         request_builder
             .model(&text_generation_config.model_id)
             .temperature(temperature)
-            .messages(openai_conversation_messages);
+            .input(input);
 
-        if let Some(max_response_tokens) = text_generation_config.max_response_tokens {
-            request_builder.max_tokens(max_response_tokens);
+        let mut tools = Vec::new();
+        if text_generation_config.tools.web_search {
+            tools.push(Tool::WebSearch(WebSearchTool::default()));
+        }
+        if text_generation_config.tools.code_interpreter {
+            tools.push(Tool::CodeInterpreter(CodeInterpreterTool {
+                container: CodeInterpreterToolContainer::Auto(
+                    CodeInterpreterContainerAuto::default(),
+                ),
+            }));
         }
 
-        if let Some(max_completion_tokens) = text_generation_config.max_completion_tokens {
-            request_builder.max_completion_tokens(max_completion_tokens);
+        if !tools.is_empty() {
+            request_builder.tools(tools);
+        }
+
+        if let Some(max_response_tokens) = text_generation_config.max_response_tokens {
+            request_builder.max_output_tokens(max_response_tokens);
+        } else if let Some(max_completion_tokens) = text_generation_config.max_completion_tokens {
+            request_builder.max_output_tokens(max_completion_tokens);
         }
 
         let request = request_builder.build()?;
@@ -160,33 +177,28 @@ impl ControllerTrait for Controller {
                 model = format!("{:?}", request.model),
                 ?messages_count,
                 request = request_as_json,
-                "Sending OpenAI chat completion API request"
+                "Sending OpenAI response API request"
             );
         }
 
-        let response = self.client.chat().create(request).await?;
+        let response = self.client.responses().create(request).await?;
 
-        tracing::trace!(
-            ?response,
-            "Got response from the OpenAI chat completion API"
-        );
+        tracing::trace!(?response, "Got response from the OpenAI response API");
 
-        // We only request 1 result, so there should only be 1 choice.
-        if let Some(choice) = response.choices.into_iter().next() {
-            match choice.message.content {
-                Some(text) => {
-                    return Ok(TextGenerationResult { text });
-                }
-                None => {
-                    return Err(anyhow::anyhow!(
-                        "No content was found in the response choice from the OpenAI chat completion API"
-                    ));
+        for item in response.output {
+            if let OutputItem::Message(message) = item {
+                for content in message.content {
+                    if let OutputMessageContent::OutputText(text_content) = content {
+                        return Ok(TextGenerationResult {
+                            text: text_content.text,
+                        });
+                    }
                 }
             }
         }
 
         Err(anyhow::anyhow!(
-            "No response messages choices were returned from the OpenAI chat completion API"
+            "No response messages choices were returned from the OpenAI response API"
         ))
     }
 
@@ -254,10 +266,10 @@ impl ControllerTrait for Controller {
             match original_model {
                 ImageModel::DallE2 => ImageModel::DallE2,
                 ImageModel::DallE3 => ImageModel::DallE2,
-                ImageModel::Other(_) => {
-                    ImageModel::DallE2
-                }
-                _ => original_model.clone(),
+                ImageModel::GptImage1 => ImageModel::GptImage1Mini,
+                ImageModel::GptImage1dot5 => ImageModel::GptImage1Mini,
+                ImageModel::GptImage1Mini => ImageModel::GptImage1Mini,
+                ImageModel::Other(_) => ImageModel::DallE2,
             }
         } else {
             original_model
@@ -293,10 +305,11 @@ impl ControllerTrait for Controller {
             image_generation_config.quality.clone()
         };
 
-        let size = params
-            .size_override
-            .map(|s| convert_string_to_enum::<async_openai::types::images::ImageSize>(&s).unwrap())
-            .or(image_generation_config.size);
+        let size = if params.smallest_size_possible {
+            Some(get_sticker_size(&model))
+        } else {
+            image_generation_config.size
+        };
 
         let response_format = match model.clone() {
             ImageModel::DallE2 => Some(ImageResponseFormat::B64Json),
@@ -305,6 +318,7 @@ impl ControllerTrait for Controller {
             // In fact, specifying the response format results in an error.
             ImageModel::GptImage1 => None,
             ImageModel::GptImage1Mini => None,
+            ImageModel::GptImage1dot5 => None,
             ImageModel::Other(_) => Some(ImageResponseFormat::B64Json),
         };
 
@@ -390,9 +404,15 @@ impl ControllerTrait for Controller {
         }
 
         let dalle2_size = match image_generation_config.size {
-            Some(async_openai::types::images::ImageSize::S256x256) => Some(async_openai::types::images::ImageSize::S256x256),
-            Some(async_openai::types::images::ImageSize::S512x512) => Some(async_openai::types::images::ImageSize::S512x512),
-            Some(async_openai::types::images::ImageSize::S1024x1024) => Some(async_openai::types::images::ImageSize::S1024x1024),
+            Some(async_openai::types::images::ImageSize::S256x256) => {
+                Some(async_openai::types::images::ImageSize::S256x256)
+            }
+            Some(async_openai::types::images::ImageSize::S512x512) => {
+                Some(async_openai::types::images::ImageSize::S512x512)
+            }
+            Some(async_openai::types::images::ImageSize::S1024x1024) => {
+                Some(async_openai::types::images::ImageSize::S1024x1024)
+            }
             _ => None,
         };
 
@@ -401,16 +421,13 @@ impl ControllerTrait for Controller {
             .map_err(|err| anyhow::anyhow!(err))?;
 
         let response_format = match model.clone() {
-            ImageModel::DallE2 => {
-                Some(ImageResponseFormat::B64Json)
-            }
-            ImageModel::DallE3 => {
-                Some(ImageResponseFormat::B64Json)
-            }
+            ImageModel::DallE2 => Some(ImageResponseFormat::B64Json),
+            ImageModel::DallE3 => Some(ImageResponseFormat::B64Json),
             // gpt-image-1 only outputs base64 and we don't need to specify the response format.
             // In fact, specifying the response format results in an error.
             ImageModel::GptImage1 => None,
             ImageModel::GptImage1Mini => None,
+            ImageModel::GptImage1dot5 => None,
             ImageModel::Other(_) => Some(ImageResponseFormat::B64Json),
         };
 
@@ -617,3 +634,17 @@ fn audio_mime_type_to_file_name(mime_type: &mxlink::mime::Mime) -> Option<String
 
     Some(format!("audio.{}", file_extension))
 }
+
+/// Returns the smallest supported size for stickers based on what the image model supports.
+fn get_sticker_size(model: &ImageModel) -> async_openai::types::images::ImageSize {
+    use async_openai::types::images::ImageSize;
+
+    match model {
+        ImageModel::DallE2 => ImageSize::S256x256,
+        ImageModel::DallE3 => ImageSize::S1024x1024,
+        ImageModel::GptImage1 => ImageSize::S1024x1024,
+        ImageModel::GptImage1Mini => ImageSize::S1024x1024,
+        ImageModel::GptImage1dot5 => ImageSize::S1024x1024,
+        ImageModel::Other(_) => ImageSize::S1024x1024,
+    }
+}

src/agent/provider/openai/mod.rs

@@ -16,16 +16,16 @@ use super::super::AgentInstantiationResult;
 use super::ConfigTrait;
 use super::controller::ControllerType;
 
-pub const OPENAI_IMAGE_MODEL_GPT_IMAGE_1: &str = "gpt-image-1";
+pub const OPENAI_IMAGE_MODEL_GPT_IMAGE_1_DOT_5: &str = "gpt-image-1.5";
 
 pub fn create_controller_from_yaml_value_config(
     agent_id: &str,
-    config: serde_yaml::Value,
+    config: serde_yaml_ng::Value,
 ) -> AgentInstantiationResult<ControllerType> {
     let config = match &config {
-        serde_yaml::Value::Mapping(_) => {
+        serde_yaml_ng::Value::Mapping(_) => {
             let config: Config =
-                serde_yaml::from_value(config).map_err(AgentInstantiationError::Yaml)?;
+                serde_yaml_ng::from_value(config).map_err(AgentInstantiationError::Yaml)?;
 
             config
                 .validate()

src/agent/provider/openai/utils.rs

@@ -1,12 +1,6 @@
-use async_openai::types::{
-    chat::{
-        ChatCompletionRequestAssistantMessageArgs, ChatCompletionRequestMessage,
-        ChatCompletionRequestMessageContentPartImage,
-        ChatCompletionRequestSystemMessageArgs,
-        ChatCompletionRequestUserMessageArgs, ChatCompletionRequestUserMessageContent,
-        ChatCompletionRequestUserMessageContentPart,
-        ImageUrlArgs,
-    },
+use async_openai::types::responses::{
+    EasyInputContent, EasyInputMessage, ImageDetail, InputContent, InputImageContent, InputItem,
+    InputParam, MessageType, Role,
 };
 
 use crate::conversation::llm::{
@@ -14,93 +8,41 @@ use crate::conversation::llm::{
 };
 use crate::utils::base64::base64_encode;
 
-pub fn convert_llm_messages_to_openai_messages(
+pub fn convert_llm_messages_to_openai_response_input(
     conversation_messages: Vec<LLMMessage>,
-) -> Vec<ChatCompletionRequestMessage> {
-    let mut openai_conversation_messages: Vec<ChatCompletionRequestMessage> =
-        Vec::with_capacity(conversation_messages.len());
+) -> InputParam {
+    let mut items = Vec::with_capacity(conversation_messages.len());
 
     for message in conversation_messages {
-        let openai_message = convert_llm_message_to_openai_message(message);
-        if let Some(openai_message) = openai_message {
-            openai_conversation_messages.push(openai_message);
-        }
-    }
+        let role = match message.author {
+            LLMAuthor::Prompt => Role::System,
+            LLMAuthor::Assistant => Role::Assistant,
+            LLMAuthor::User => Role::User,
+        };
 
-    openai_conversation_messages
-}
+        let content = match message.content {
+            LLMMessageContent::Text(text) => EasyInputContent::Text(text),
+            LLMMessageContent::Image(image_details) => {
+                let image_url = format!(
+                    "data:{};base64,{}",
+                    image_details.mime,
+                    base64_encode(&image_details.data)
+                );
 
-fn convert_llm_message_to_openai_message(
-    llm_message: LLMMessage,
-) -> Option<ChatCompletionRequestMessage> {
-    match &llm_message.content {
-        LLMMessageContent::Text(text) => Some(match llm_message.author {
-            LLMAuthor::Prompt => ChatCompletionRequestSystemMessageArgs::default()
-                .content(text.clone())
-                .build()
-                .expect("Failed building OpenAI system message")
-                .into(),
-            LLMAuthor::Assistant => ChatCompletionRequestAssistantMessageArgs::default()
-                .content(text.clone())
-                .build()
-                .expect("Failed building OpenAI assistant message")
-                .into(),
-            LLMAuthor::User => ChatCompletionRequestUserMessageArgs::default()
-                .content(text.clone())
-                .build()
-                .expect("Failed building OpenAI user message")
-                .into(),
-        }),
-        LLMMessageContent::Image(image_details) => {
-            let image_url = format!(
-                "data:{};base64,{}",
-                image_details.mime,
-                base64_encode(&image_details.data)
-            );
-
-            let part = ChatCompletionRequestUserMessageContentPart::ImageUrl(
-                ChatCompletionRequestMessageContentPartImage {
-                    image_url: ImageUrlArgs::default()
-                        .url(image_url)
-                        .build()
-                        .expect("Failed building OpenAI image url"),
-                },
-            );
-
-            let message_content = ChatCompletionRequestUserMessageContent::Array(vec![part]);
-
-            match llm_message.author {
-                LLMAuthor::User => Some(
-                    ChatCompletionRequestUserMessageArgs::default()
-                        .content(message_content)
-                        .build()
-                        .expect("Failed building OpenAI user message")
-                        .into(),
-                ),
-                _ => {
-                    tracing::warn!(
-                        "OpenAI API does not support image content for messages authored by {:?}. This message part will be skipped.",
-                        llm_message.author
-                    );
-                    None
-                }
+                EasyInputContent::ContentList(vec![InputContent::InputImage(InputImageContent {
+                    image_url: Some(image_url),
+                    detail: ImageDetail::Auto,
+                    file_id: None,
+                })])
             }
-        }
-    }
-}
+        };
 
-pub(super) fn convert_string_to_enum<T>(value: &str) -> Result<T, String>
-where
-    T: serde::de::DeserializeOwned,
-{
-    // This is a hacky way to construct an enum from the string we have.
-    let enum_result: serde_json::Result<T> = serde_json::from_str(&format!("\"{}\"", value));
-    match enum_result {
-        Ok(enum_result) => Ok(enum_result),
-        Err(err) => {
-            tracing::debug!(?err, "Failed to parse into enum");
-
-            Err(format!("The value ({}) is not supported.", value))
-        }
+        items.push(InputItem::EasyMessage(EasyInputMessage {
+            r#type: MessageType::Message,
+            role,
+            content,
+        }));
     }
+
+    InputParam::Items(items)
 }

src/agent/provider/openai_compat/config.rs

@@ -95,6 +95,7 @@ impl TryInto<OpenAITextGenerationConfig> for TextGenerationConfig {
             max_response_tokens: self.max_response_tokens,
             max_completion_tokens: None,
             max_context_tokens: self.max_context_tokens,
+            tools: Default::default(),
         })
     }
 }
@@ -161,13 +162,14 @@ impl TryInto<OpenAITextToSpeechConfig> for TextToSpeechConfig {
     type Error = String;
 
     fn try_into(self) -> Result<OpenAITextToSpeechConfig, Self::Error> {
-        let model_id = convert_string_to_enum::<async_openai::types::audio::SpeechModel>(&self.model_id)?;
+        let model_id =
+            convert_string_to_enum::<async_openai::types::audio::SpeechModel>(&self.model_id)?;
 
         let voice = convert_string_to_enum::<async_openai::types::audio::Voice>(&self.voice)?;
 
-        let response_format = convert_string_to_enum::<async_openai::types::audio::SpeechResponseFormat>(
-            &self.response_format,
-        )?;
+        let response_format = convert_string_to_enum::<
+            async_openai::types::audio::SpeechResponseFormat,
+        >(&self.response_format)?;
 
         Ok(OpenAITextToSpeechConfig {
             model_id,
@@ -224,25 +226,25 @@ impl TryInto<OpenAIImageGenerationConfig> for ImageGenerationConfig {
 
     fn try_into(self) -> Result<OpenAIImageGenerationConfig, Self::Error> {
         let size = if let Some(size) = &self.size {
-            Some(convert_string_to_enum::<async_openai::types::images::ImageSize>(
-                size,
-            )?)
+            Some(convert_string_to_enum::<
+                async_openai::types::images::ImageSize,
+            >(size)?)
         } else {
             None
         };
 
         let style = if let Some(style) = &self.style {
-            Some(convert_string_to_enum::<async_openai::types::images::ImageStyle>(
-                style,
-            )?)
+            Some(convert_string_to_enum::<
+                async_openai::types::images::ImageStyle,
+            >(style)?)
         } else {
             None
         };
 
         let quality = if let Some(quality) = &self.quality {
-            Some(convert_string_to_enum::<async_openai::types::images::ImageQuality>(
-                quality,
-            )?)
+            Some(convert_string_to_enum::<
+                async_openai::types::images::ImageQuality,
+            >(quality)?)
         } else {
             None
         };

src/agent/provider/openai_compat/controller.rs

@@ -3,6 +3,8 @@ use etke_openai_api_rust::chat::{ChatApi, ChatBody};
 use etke_openai_api_rust::images::{ImagesApi, ImagesBody};
 use etke_openai_api_rust::{Auth, Message, OpenAI};
 
+const SMALLEST_IMAGE_SIZE: &str = "256x256";
+
 use super::super::ControllerTrait;
 use crate::utils::base64::base64_decode;
 use crate::{
@@ -303,9 +305,11 @@ impl ControllerTrait for Controller {
         // when they span multiple lines.
         let prompt = prompt.replace("\n", " ");
 
-        let size: Option<String> = params
-            .size_override
-            .or_else(|| image_generation_config.size.clone());
+        let size: Option<String> = if params.smallest_size_possible {
+            Some(SMALLEST_IMAGE_SIZE.to_owned())
+        } else {
+            image_generation_config.size.clone()
+        };
 
         let request = ImagesBody {
             model: Some(image_generation_config.model_id.to_owned()),

src/agent/provider/openai_compat/mod.rs

@@ -26,12 +26,12 @@ use super::controller::ControllerType;
 
 pub fn create_controller_from_yaml_value_config(
     agent_id: &str,
-    config: serde_yaml::Value,
+    config: serde_yaml_ng::Value,
 ) -> AgentInstantiationResult<ControllerType> {
     let config = match &config {
-        serde_yaml::Value::Mapping(_) => {
+        serde_yaml_ng::Value::Mapping(_) => {
             let config: Config =
-                serde_yaml::from_value(config).map_err(AgentInstantiationError::Yaml)?;
+                serde_yaml_ng::from_value(config).map_err(AgentInstantiationError::Yaml)?;
 
             config
                 .validate()

src/bot/implementation.rs

@@ -4,10 +4,10 @@ use std::{future::Future, pin::Pin};
 
 use mxlink::matrix_sdk::Room;
 use mxlink::matrix_sdk::media::{MediaFormat, MediaRequestParameters};
+use mxlink::matrix_sdk::ruma::api::client::profile::{AvatarUrl, DisplayName};
 use mxlink::matrix_sdk::ruma::{
     MilliSecondsSinceUnixEpoch, OwnedUserId, events::room::MediaSource,
 };
-use mxlink::matrix_sdk::ruma::api::client::profile::{AvatarUrl, DisplayName};
 
 use mxlink::{
     InitConfig, LoginConfig, LoginCredentials, LoginEncryption, MatrixLink, PersistenceConfig,

src/bot/load_config.rs

@@ -21,7 +21,7 @@ pub fn load() -> anyhow::Result<Config> {
     }
 
     let config_str = std::fs::read_to_string(config_file_path)?;
-    let mut config: Config = serde_yaml::from_str(&config_str)?;
+    let mut config: Config = serde_yaml_ng::from_str(&config_str)?;
 
     // Allow environment variables to override some configuration keys
     for (key, value) in env::vars() {

src/controller/access/room_local_agent_managers.rs

@@ -28,18 +28,18 @@ pub async fn handle_set(
     message_context: &MessageContext,
     patterns: &Option<Vec<String>>,
 ) -> anyhow::Result<()> {
-    if let Some(patterns) = patterns {
-        if let Err(err) = mxidwc::parse_patterns_vector(patterns) {
-            bot.messaging()
-                .send_error_markdown_no_fail(
-                    message_context.room(),
-                    &strings::access::failed_to_parse_patterns(&err.to_string()),
-                    MessageResponseType::Reply(message_context.thread_info().root_event_id.clone()),
-                )
-                .await;
+    if let Some(patterns) = patterns
+        && let Err(err) = mxidwc::parse_patterns_vector(patterns)
+    {
+        bot.messaging()
+            .send_error_markdown_no_fail(
+                message_context.room(),
+                &strings::access::failed_to_parse_patterns(&err.to_string()),
+                MessageResponseType::Reply(message_context.thread_info().root_event_id.clone()),
+            )
+            .await;
 
-            return Ok(());
-        }
+        return Ok(());
     }
 
     let mut global_config_manager_guard = bot.global_config_manager().lock().await;

src/controller/access/users.rs

@@ -24,18 +24,18 @@ pub async fn handle_set(
     message_context: &MessageContext,
     patterns: &Option<Vec<String>>,
 ) -> anyhow::Result<()> {
-    if let Some(patterns) = patterns {
-        if let Err(err) = mxidwc::parse_patterns_vector(patterns) {
-            bot.messaging()
-                .send_error_markdown_no_fail(
-                    message_context.room(),
-                    &strings::access::failed_to_parse_patterns(&err.to_string()),
-                    MessageResponseType::Reply(message_context.thread_info().root_event_id.clone()),
-                )
-                .await;
+    if let Some(patterns) = patterns
+        && let Err(err) = mxidwc::parse_patterns_vector(patterns)
+    {
+        bot.messaging()
+            .send_error_markdown_no_fail(
+                message_context.room(),
+                &strings::access::failed_to_parse_patterns(&err.to_string()),
+                MessageResponseType::Reply(message_context.thread_info().root_event_id.clone()),
+            )
+            .await;
 
-            return Ok(());
-        }
+        return Ok(());
     }
 
     let mut global_config_manager_guard = bot.global_config_manager().lock().await;

src/controller/agent/create/mod.rs

@@ -15,7 +15,7 @@ use crate::{Bot, entity::MessageContext};
 
 struct ParsedAgentConfig {
     agent: AgentInstance,
-    config: serde_yaml::Value,
+    config: serde_yaml_ng::Value,
 }
 
 pub async fn handle_room_local(
@@ -250,7 +250,7 @@ async fn send_guide(
     provider: &AgentProvider,
 ) -> anyhow::Result<()> {
     let sample_config = crate::agent::default_config_for_provider(provider);
-    let sample_config_pretty_yaml = serde_yaml::to_string(&sample_config)?;
+    let sample_config_pretty_yaml = serde_yaml_ng::to_string(&sample_config)?;
 
     bot.messaging()
         .send_text_markdown_no_fail(
@@ -263,7 +263,7 @@ async fn send_guide(
     Ok(())
 }
 
-fn parse_from_message_to_yaml_value(text: &str) -> Result<serde_yaml::Value, String> {
+fn parse_from_message_to_yaml_value(text: &str) -> Result<serde_yaml_ng::Value, String> {
     let mut text = text.trim();
 
     if text.starts_with("```") {
@@ -274,10 +274,10 @@ fn parse_from_message_to_yaml_value(text: &str) -> Result<serde_yaml::Value, Str
         text = text.trim_end_matches("```");
     }
 
-    let config: serde_yaml::Value = serde_yaml::from_str(text).map_err(|e| e.to_string())?;
+    let config: serde_yaml_ng::Value = serde_yaml_ng::from_str(text).map_err(|e| e.to_string())?;
 
     match config {
-        serde_yaml::Value::Mapping(_) => {}
+        serde_yaml_ng::Value::Mapping(_) => {}
         _ => {
             return Err("Not a valid YAML hashmap".to_owned());
         }

src/controller/agent/create/tests.rs

@@ -2,12 +2,12 @@
 fn agent_config_parsing_works() {
     struct TestCase {
         input: String,
-        expected: Option<serde_yaml::Value>,
+        expected: Option<serde_yaml_ng::Value>,
     }
 
     let provider = crate::agent::AgentProvider::OpenAI;
     let sample_config = crate::agent::default_config_for_provider(&provider);
-    let sample_config_pretty_yaml = serde_yaml::to_string(&sample_config).unwrap();
+    let sample_config_pretty_yaml = serde_yaml_ng::to_string(&sample_config).unwrap();
 
     let test_cases = vec![
         // Invalid input

src/controller/agent/details/mod.rs

@@ -64,7 +64,7 @@ pub async fn handle(
         PublicIdentifier::Static(_) => {}
     };
 
-    let config_yaml_pretty = serde_yaml::to_string(&agent.definition().config)?;
+    let config_yaml_pretty = serde_yaml_ng::to_string(&agent.definition().config)?;
 
     bot.messaging()
         .send_text_markdown_no_fail(

src/controller/cfg/dispatching/mod.rs

@@ -39,18 +39,18 @@ async fn dispatch_config_related_handler(
     message_context: &MessageContext,
     bot: &Bot,
 ) -> anyhow::Result<()> {
-    if let SettingsStorageSource::Global = config_type {
-        if !message_context.sender_can_manage_global_config() {
-            bot.messaging()
-                .send_error_markdown_no_fail(
-                    message_context.room(),
-                    strings::global_config::no_permissions_to_administrate(),
-                    MessageResponseType::Reply(message_context.thread_info().root_event_id.clone()),
-                )
-                .await;
-            return Ok(());
-        }
-    };
+    if let SettingsStorageSource::Global = config_type
+        && !message_context.sender_can_manage_global_config()
+    {
+        bot.messaging()
+            .send_error_markdown_no_fail(
+                message_context.room(),
+                strings::global_config::no_permissions_to_administrate(),
+                MessageResponseType::Reply(message_context.thread_info().root_event_id.clone()),
+            )
+            .await;
+        return Ok(());
+    }
 
     let room_settings = match config_type {
         SettingsStorageSource::Room => &message_context.room_config().settings,

src/controller/image/generation.rs

@@ -12,9 +12,6 @@ use crate::strings;
 use crate::utils::mime::get_file_extension;
 use crate::{Bot, entity::MessageContext};
 
-// We may make this configurable (per room, etc.) in the future, but for now it's hardcoded.
-const STICKER_SIZE: &str = "256x256";
-
 pub async fn handle_image(
     bot: &Bot,
     matrix_link: MatrixLink,
@@ -177,7 +174,7 @@ pub async fn handle_sticker(
     );
 
     let params = ImageGenerationParams::default()
-        .with_size_override(Some(STICKER_SIZE.to_owned()))
+        .with_smallest_size_possible(true)
         .with_cheaper_model_switching_allowed(true)
         .with_cheaper_quality_switching_allowed(true);
 

src/conversation/matrix/utils/mod.rs

@@ -154,35 +154,35 @@ pub async fn process_matrix_messages(
 
         let mut message = message.clone();
 
-        if i == 0 && !params.first_message_prefixes_to_strip.is_empty() {
-            if let MatrixMessageContent::Text(message_text) = &message.content {
-                let mut message_text = message_text.clone();
+        if i == 0
+            && !params.first_message_prefixes_to_strip.is_empty()
+            && let MatrixMessageContent::Text(message_text) = &message.content
+        {
+            let mut message_text = message_text.clone();
 
-                for prefix in &params.first_message_prefixes_to_strip {
-                    if let Some(message_text_stripped) = message_text.strip_prefix(prefix) {
-                        message_text = message_text_stripped.to_owned();
-                    }
+            for prefix in &params.first_message_prefixes_to_strip {
+                if let Some(message_text_stripped) = message_text.strip_prefix(prefix) {
+                    message_text = message_text_stripped.to_owned();
                 }
-
-                message.content = MatrixMessageContent::Text(message_text.trim().to_owned());
             }
+
+            message.content = MatrixMessageContent::Text(message_text.trim().to_owned());
         }
 
         // We only strip `bot_user_prefixes_to_strip`-defined prefixes from messages that mention the bot user.
         if !params.bot_user_prefixes_to_strip.is_empty()
             && message.mentioned_users.contains(&params.bot_user_id)
+            && let MatrixMessageContent::Text(message_text) = &message.content
         {
-            if let MatrixMessageContent::Text(message_text) = &message.content {
-                let mut message_text = message_text.clone();
+            let mut message_text = message_text.clone();
 
-                for prefix in &params.bot_user_prefixes_to_strip {
-                    if let Some(message_text_stripped) = message_text.strip_prefix(prefix) {
-                        message_text = message_text_stripped.to_owned();
-                    }
+            for prefix in &params.bot_user_prefixes_to_strip {
+                if let Some(message_text_stripped) = message_text.strip_prefix(prefix) {
+                    message_text = message_text_stripped.to_owned();
                 }
-
-                message.content = MatrixMessageContent::Text(message_text.trim().to_owned());
             }
+
+            message.content = MatrixMessageContent::Text(message_text.trim().to_owned());
         }
 
         messages_filtered.push(message);

src/entity/cfg/config.rs

@@ -88,9 +88,10 @@ impl ConfigHomeserver {
 /// - `Default`: Use the built-in default avatar (null, empty string, or missing in config)
 /// - `Keep`: Don't touch the avatar, keep whatever is already set ("keep" in config)
 /// - `Custom(String)`: Use a custom avatar from the specified file path
-#[derive(Debug, Clone, PartialEq, Serialize)]
+#[derive(Debug, Clone, Default, PartialEq, Serialize)]
 pub enum Avatar {
     /// Use the built-in default avatar
+    #[default]
     Default,
     /// Keep the current avatar, don't change it
     Keep,
@@ -98,12 +99,6 @@ pub enum Avatar {
     Custom(String),
 }
 
-impl Default for Avatar {
-    fn default() -> Self {
-        Avatar::Default
-    }
-}
-
 impl<'de> Deserialize<'de> for Avatar {
     fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
     where
@@ -181,13 +176,13 @@ pub struct ConfigUserEncryption {
 
 impl ConfigUserEncryption {
     pub fn validate(&self) -> anyhow::Result<()> {
-        if let Some(passphrase) = &self.recovery_passphrase {
-            if passphrase.is_empty() {
-                return Err(anyhow::anyhow!(
-                    "The user.encryption.recovery_passphrase ({}) configuration must either be null or set to a non-empty passphrase",
-                    super::env::BAIBOT_USER_ENCRYPTION_RECOVERY_PASSPHRASE
-                ));
-            }
+        if let Some(passphrase) = &self.recovery_passphrase
+            && passphrase.is_empty()
+        {
+            return Err(anyhow::anyhow!(
+                "The user.encryption.recovery_passphrase ({}) configuration must either be null or set to a non-empty passphrase",
+                super::env::BAIBOT_USER_ENCRYPTION_RECOVERY_PASSPHRASE
+            ));
         }
 
         Ok(())

src/strings/provider.rs

@@ -109,11 +109,21 @@ pub fn help_provider_details(id: &str, info: &AgentProviderInfo) -> String {
         let mut purpose_line = format!("{} {}", purpose.emoji(), purpose.as_str());
 
         if let AgentPurpose::TextGeneration = purpose {
+            let mut extras = vec![];
+
             if info.text_generation_supports_vision {
-                purpose_line = format!("{} ({})", purpose_line, "incl. vision");
+                extras.push("incl. vision");
             } else {
-                purpose_line = format!("{} ({})", purpose_line, "no vision");
+                extras.push("no vision");
             }
+
+            if info.text_generation_supports_tools {
+                extras.push("incl. tools");
+            } else {
+                extras.push("no tools");
+            }
+
+            purpose_line = format!("{} ({})", purpose_line, extras.join(", "));
         }
 
         capabilities.push(purpose_line);

src/strings/usage.rs

@@ -64,7 +64,7 @@ To create a sticker, send a command like `%command_prefix% sticker A huge bowl o
 
 The difference from **creating images** is that the bot will:
 
-- create a smaller-resolution image (`256x256`) - smaller/quicker, but still good enough for a sticker
+- create a smaller-resolution image (as small as the model allows) - smaller/quicker, but still good enough for a sticker
 - potentially switch to a different (cheaper or otherwise more suitable) model, if available
 - post the image directly to the room (as a reply to your message), without starting a threaded conversation
 "#;