Integrate StreamCallbacks.jl for streaming

Project.toml

@@ -7,17 +7,20 @@ version = "0.11.0"
 Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
 HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
 JSON3 = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
+StreamCallbacks = "c1b9e933-98a0-46fc-8ea7-3b58b195fb0a"
 
 [compat]
 Dates = "1"
 HTTP = "1"
 JSON3 = "1"
+StreamCallbacks = "0.6"
 julia = "1"
 
 [extras]
 JET = "c3a54625-cd67-489e-a8e7-0a5a0ff4e31b"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+Sockets = "6462fe0b-24de-5631-8697-dd941f90decc"
 
 [targets]
-test = ["JET", "Pkg", "Test"]
+test = ["JET", "Pkg", "Test", "Sockets"]

README.md

@@ -28,7 +28,7 @@ __⚠️ We strongly suggest setting up your API key as an ENV variable__.
 
 ```julia
 secret_key = ENV["OPENAI_API_KEY"]
-model = "gpt-4o-mini"
+model = "gpt-5-mini"
 prompt =  "Say \"this is a test\""
 
 r = create_chat(
@@ -57,13 +57,63 @@ provider = OpenAI.OpenAIProvider(
 )
 response = create_chat(
     provider,
-    "gpt-4o-mini",
+    "gpt-5-mini",
     [Dict("role" => "user", "content" => "Write some ancient Greek poetry")]
 )
 ```
 
 For more use cases [see tests](https://github.com/JuliaML/OpenAI.jl/tree/main/test).
 
+## Streaming with StreamCallbacks
+
+OpenAI.jl integrates [StreamCallbacks.jl](https://github.com/svilupp/StreamCallbacks.jl) for
+streaming responses.
+
+### 1. Stream to any `IO`
+
+```julia
+create_chat(secret_key, model, messages; streamcallback=stdout)
+```
+
+### 2. Capture stream chunks
+
+```julia
+using OpenAI
+cb = StreamCallback()
+create_chat(secret_key, model, messages; streamcallback=cb)
+cb.chunks
+```
+
+### 3. Customize printing
+
+```julia
+using OpenAI
+import StreamCallbacks: print_content
+
+function print_content(io::IO, content; kwargs...)
+    printstyled(io, "🌊 $content"; color=:cyan)
+end
+
+cb = StreamCallback()
+create_chat(secret_key, model, messages; streamcallback=cb)
+```
+
+To fully customize processing, you can overload `StreamCallbacks.callback`:
+
+```julia
+using OpenAI
+import StreamCallbacks: callback, AbstractStreamCallback, AbstractStreamChunk, extract_content, print_content
+
+@inline function callback(cb::AbstractStreamCallback, chunk::AbstractStreamChunk; kwargs...)
+    processed_text = extract_content(cb.flavor, chunk; kwargs...)
+    isnothing(processed_text) && return nothing
+    print_content(cb.out, processed_text; kwargs...)
+    return nothing
+end
+```
+
+See [`examples/streamcallbacks.jl`](examples/streamcallbacks.jl) for a full walkthrough.
+
 ## Feature requests
 
 Feel free to open a PR, or file an issue if that's out of reach!

docs/src/index.md

@@ -22,4 +22,8 @@ create_embeddings(api_key::String, input, model_id::String=DEFAULT_EMBEDDING_MOD
 
 ```@docs
 create_images(api_key::String, prompt, n::Integer=1, size::String="256x256"; http_kwargs::NamedTuple=NamedTuple(), kwargs...)
-```
+```
+
+## Streaming
+
+See [Streaming](streaming.md) for examples using StreamCallbacks.

docs/src/streaming.md

@@ -0,0 +1,44 @@
+# Streaming
+
+OpenAI.jl integrates [StreamCallbacks.jl](https://github.com/svilupp/StreamCallbacks.jl) for streaming responses.
+
+## 1. Stream to any `IO`
+```julia
+create_chat(secret_key, model, messages; streamcallback=stdout)
+```
+
+## 2. Capture stream chunks
+```julia
+using OpenAI
+cb = StreamCallback()
+create_chat(secret_key, model, messages; streamcallback=cb)
+cb.chunks
+```
+
+## 3. Customize printing
+```julia
+using OpenAI
+import StreamCallbacks: print_content
+
+function print_content(io::IO, content; kwargs...)
+    printstyled(io, "🌊 $content"; color=:cyan)
+end
+
+cb = StreamCallback()
+create_chat(secret_key, model, messages; streamcallback=cb)
+```
+
+For complete control you can overload `StreamCallbacks.callback`:
+```julia
+using OpenAI
+import StreamCallbacks: callback, AbstractStreamCallback, AbstractStreamChunk, extract_content, print_content
+
+@inline function callback(cb::AbstractStreamCallback, chunk::AbstractStreamChunk; kwargs...)
+    processed_text = extract_content(cb.flavor, chunk; kwargs...)
+    isnothing(processed_text) && return nothing
+    print_content(cb.out, processed_text; kwargs...)
+    return nothing
+end
+```
+
+See the `examples/streamcallbacks.jl` script for a full walkthrough.

examples/functions_example.jl

@@ -1,24 +1,24 @@
 ## Example of using Functions for Julia 
 
-
 ## Functions 
 tools = [
     Dict(
-        "type" => "function",
-        "name" => "get_avg_temperature",
-        "description" => "Get average temperature in a given location",
-        "parameters" => Dict(
+    "type" => "function",
+    "name" => "get_avg_temperature",
+    "description" => "Get average temperature in a given location",
+    "parameters" => Dict(
         "type" => "object",
         "properties" => Dict(
             "location" => Dict(
-                "type" => "string",
-                "description" => "The city with no spaces, e.g. SanFrancisco",
-            )
-        ),
-        "required" => ["location"],
+            "type" => "string",
+            "description" => "The city with no spaces, e.g. SanFrancisco"
         )
+        ),
+        "required" => ["location"]
     )
+)
 ]
-resp = create_responses(ENV["OPENAI_API_KEY"], "What is the avg temp in New York?"; tools=tools, tool_choice="auto")
+resp = create_responses(ENV["OPENAI_API_KEY"], "What is the avg temp in New York?";
+    tools = tools, tool_choice = "auto")
 
-resp.response.output
+resp.response.output

examples/streamcallbacks.jl

@@ -0,0 +1,34 @@
+# Streaming examples using StreamCallbacks.jl
+using OpenAI
+
+api_key = get(ENV, "OPENAI_API_KEY", "")
+model = "gpt-5-mini"
+messages = [Dict("role" => "user", "content" => "Write a short haiku about streams.")]
+
+# 1. Stream to stdout (no differences)
+create_chat(api_key, model, messages; streamcallback = stdout)
+
+# 2. Stream with explicit StreamCallback to capture chunks
+cb = StreamCallback()
+create_chat(api_key, model, messages; streamcallback = cb)
+@info "Received $(length(cb.chunks)) chunks"
+
+# 3. Customize printing via `print_content`
+import StreamCallbacks: print_content
+function print_content(io::IO, content; kwargs...)
+    printstyled(io, "🌊 $content"; color = :cyan)
+end
+cb2 = StreamCallback()
+create_chat(api_key, model, messages; streamcallback = cb2)
+
+# 4. Overload `callback` to change chunk handling
+import StreamCallbacks: callback, AbstractStreamCallback, AbstractStreamChunk,
+                        extract_content
+@inline function callback(cb::AbstractStreamCallback, chunk::AbstractStreamChunk; kwargs...)
+    processed_text = extract_content(cb.flavor, chunk; kwargs...)
+    isnothing(processed_text) && return nothing
+    print_content(cb.out, reverse(processed_text); kwargs...)
+    return nothing
+end
+cb3 = StreamCallback()
+create_chat(api_key, model, messages; streamcallback = cb3)