Add VitePress documentation site and GitHub Actions for build + Pages deployment#4
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📝 WalkthroughWalkthroughThis pull request introduces a complete documentation site for OpenRTC using VitePress, including GitHub Pages deployment automation via GitHub Actions. It adds configuration files, CI/CD workflows, NPM scripts, and comprehensive documentation covering getting started, API, architecture, CLI, examples, and deployment guidance. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~12 minutes Poem
🚥 Pre-merge checks | ✅ 3✅ Passed checks (3 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
📝 Coding Plan
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Actionable comments posted: 4
🧹 Nitpick comments (5)
.github/workflows/docs.yml (1)
34-35: Consider usingnpm ciinstead ofnpm installfor CI builds.
npm ciis preferred in CI environments as it performs a clean install based onpackage-lock.json, ensuring reproducible builds. Also consider adding Node.js dependency caching to speed up subsequent runs.♻️ Proposed improvement
- name: Set up Node.js uses: actions/setup-node@v4 with: node-version: '20' + cache: 'npm' - name: Install dependencies - run: npm install + run: npm ci🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In @.github/workflows/docs.yml around lines 34 - 35, Replace the "Install dependencies" step's run command from `npm install` to `npm ci` to ensure clean, reproducible installs based on package-lock.json (look for the step named "Install dependencies"); additionally add a caching step using actions/cache (e.g., before that step) to cache Node.js dependencies (cache key derived from package-lock.json and node-version, cache paths such as ~/.npm or ~/.npm/_cacache or node_modules depending on strategy) so CI runs are faster and deterministic.docs/index.md (1)
22-28: Consider adding CLI link for consistency with sidebar.The "Read the docs" section doesn't include a link to the CLI documentation, though it appears in the sidebar under "Reference". For consistency, consider adding it.
📝 Proposed addition
- [AgentPool API](./api/pool) +- [CLI](./cli) - [Examples](./examples)🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/index.md` around lines 22 - 28, Add a link to the CLI docs in the "Read the docs" list under the "Read the docs" heading by inserting an entry for "CLI" (e.g., the link text "CLI" pointing to the same path used in the sidebar such as ./reference/cli) so the list (Getting Started, Architecture, AgentPool API, Examples, CLI, GitHub Pages deployment) matches the sidebar's "Reference" inclusion..github/workflows/deploy-docs.yml (2)
34-43: Consider caching npm dependencies for faster builds.The workflow installs npm dependencies without caching, which means every build downloads packages from scratch. Adding cache configuration would improve build performance.
⚡ Suggested enhancement to add npm caching
- name: Set up Node.js uses: actions/setup-node@v4 with: node-version: '20' + cache: 'npm' - name: Configure GitHub Pages uses: actions/configure-pages@v5This leverages the built-in caching feature of
actions/setup-node@v4to cachenode_modulesbased onpackage-lock.json.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In @.github/workflows/deploy-docs.yml around lines 34 - 43, Update the GitHub Actions workflow to enable npm caching in the Node setup step: modify the actions/setup-node@v4 invocation (the step with node-version: '20') to include cache: 'npm' and cache-dependency-path pointing to package-lock.json (or yarn.lock), and ensure the "Install dependencies" step (named "Install dependencies") still runs npm install so the cache is restored/updated automatically; this uses the built-in caching of actions/setup-node to speed subsequent builds.
24-24: Consider a more descriptive job name.The job is named
buildbut it performs both building and deployment. A name likebuild-and-deployordeploywould more accurately reflect the job's responsibilities.📝 Suggested naming improvement
jobs: - build: + build-and-deploy: runs-on: ubuntu-latestAlternatively, you could split this into two jobs (
buildanddeploy) if you want to separate concerns, though that may be overkill for documentation deployment.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In @.github/workflows/deploy-docs.yml at line 24, Rename the GitHub Actions job currently labeled "build" to a more descriptive name that reflects both building and deployment (e.g., "build-and-deploy" or "deploy"); update any references to the job id in the workflow (job dependencies, uses, needs, or outputs) so "build" is replaced consistently, or alternatively split the single "build" job into two jobs named "build" and "deploy" connected via needs to separate concerns while preserving existing steps and artifact handoff.docs/concepts/architecture.md (1)
28-32: Consider rephrasing for readability.The static analysis tool flagged three consecutive sentences starting with "It" (lines 28-32 in the numbered list). While grammatically correct, varying sentence structure slightly improves flow.
✍️ Suggested rephrase
1. OpenRTC resolves the target agent from job metadata, room metadata, or the first registered agent. 2. It creates an `AgentSession` using the selected agent configuration. -3. It injects prewarmed VAD and turn detection models from `proc.userdata`. -4. It starts the resolved agent instance and connects the LiveKit job context. +3. Prewarmed VAD and turn detection models are injected from `proc.userdata`. +4. The resolved agent instance is started and the LiveKit job context is connected.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/concepts/architecture.md` around lines 28 - 32, Rewrite the three consecutive sentences that begin with "It" in the numbered list so they vary sentence starters and improve readability: keep the same facts but rephrase lines describing creation of AgentSession, injection of prewarmed VAD and turn detection models from proc.userdata, and starting the resolved agent and connecting the LiveKit job context (references: AgentSession, proc.userdata, LiveKit job context). For example, start one sentence with the action ("Create an AgentSession..."), another with the injected resource ("Prewarmed VAD and turn detection models are injected from proc.userdata..."), and the last with the outcome or actor ("The resolved agent instance is then started and connected to the LiveKit job context...") to avoid three back-to-back "It" openings.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@docs/.vitepress/config.ts`:
- Around line 1-58: The build fails because VitePress is ESM-only; update your
project package.json to declare ESM by adding a top-level "type": "module" field
so Node treats imports (and docs/.vitepress/config.ts) as ESM; ensure
package.json includes "type": "module" and then run the build to confirm no
remaining CommonJS/require usages need converting.
- Around line 43-48: Update the hardcoded GitHub URLs to point to the correct
repository: change the socialLinks entry (icon 'github') link from
'https://github.com/mahimailabs/openrtc' to
'https://github.com/mahimairaja/openrtc-python' and update the editLink.pattern
from 'https://github.com/mahimailabs/openrtc/edit/main/docs/:path' to
'https://github.com/mahimairaja/openrtc-python/edit/main/docs/:path' so the
socialLinks and editLink in the config.ts reflect the actual repo.
In `@docs/api/pool.md`:
- Line 95: Update the LLM model identifier used in the example by replacing the
incorrect string value "openai/gpt-4.1-mini" assigned to the llm parameter with
the correct OpenAI model identifier "gpt-4o-mini" (i.e., change the llm
assignment in the example snippet).
In `@docs/getting-started.md`:
- Around line 36-38: Replace the invalid model identifier "openai/gpt-4.1-mini"
with a current OpenAI model name (recommended "gpt-5.4-mini") across all
occurrences; specifically update the llm setting string (e.g.,
llm="openai/gpt-4.1-mini" or just "gpt-4.1-mini") in docs/getting-started.md,
tests/test_pool.py, both places in examples/main.py, and docs/api/pool.md so
they consistently use "gpt-5.4-mini" (or "openai/gpt-5.4-mini" if your codebase
prefixes provider names).
---
Nitpick comments:
In @.github/workflows/deploy-docs.yml:
- Around line 34-43: Update the GitHub Actions workflow to enable npm caching in
the Node setup step: modify the actions/setup-node@v4 invocation (the step with
node-version: '20') to include cache: 'npm' and cache-dependency-path pointing
to package-lock.json (or yarn.lock), and ensure the "Install dependencies" step
(named "Install dependencies") still runs npm install so the cache is
restored/updated automatically; this uses the built-in caching of
actions/setup-node to speed subsequent builds.
- Line 24: Rename the GitHub Actions job currently labeled "build" to a more
descriptive name that reflects both building and deployment (e.g.,
"build-and-deploy" or "deploy"); update any references to the job id in the
workflow (job dependencies, uses, needs, or outputs) so "build" is replaced
consistently, or alternatively split the single "build" job into two jobs named
"build" and "deploy" connected via needs to separate concerns while preserving
existing steps and artifact handoff.
In @.github/workflows/docs.yml:
- Around line 34-35: Replace the "Install dependencies" step's run command from
`npm install` to `npm ci` to ensure clean, reproducible installs based on
package-lock.json (look for the step named "Install dependencies"); additionally
add a caching step using actions/cache (e.g., before that step) to cache Node.js
dependencies (cache key derived from package-lock.json and node-version, cache
paths such as ~/.npm or ~/.npm/_cacache or node_modules depending on strategy)
so CI runs are faster and deterministic.
In `@docs/concepts/architecture.md`:
- Around line 28-32: Rewrite the three consecutive sentences that begin with
"It" in the numbered list so they vary sentence starters and improve
readability: keep the same facts but rephrase lines describing creation of
AgentSession, injection of prewarmed VAD and turn detection models from
proc.userdata, and starting the resolved agent and connecting the LiveKit job
context (references: AgentSession, proc.userdata, LiveKit job context). For
example, start one sentence with the action ("Create an AgentSession..."),
another with the injected resource ("Prewarmed VAD and turn detection models are
injected from proc.userdata..."), and the last with the outcome or actor ("The
resolved agent instance is then started and connected to the LiveKit job
context...") to avoid three back-to-back "It" openings.
In `@docs/index.md`:
- Around line 22-28: Add a link to the CLI docs in the "Read the docs" list
under the "Read the docs" heading by inserting an entry for "CLI" (e.g., the
link text "CLI" pointing to the same path used in the sidebar such as
./reference/cli) so the list (Getting Started, Architecture, AgentPool API,
Examples, CLI, GitHub Pages deployment) matches the sidebar's "Reference"
inclusion.
ℹ️ Review info
⚙️ Run configuration
Configuration used: defaults
Review profile: CHILL
Plan: Pro
Run ID: 71e4686e-4a25-424c-9ea5-41fc6b8fa3a2
⛔ Files ignored due to path filters (1)
docs/public/logo.svgis excluded by!**/*.svg
📒 Files selected for processing (11)
.github/workflows/deploy-docs.yml.github/workflows/docs.ymldocs/.vitepress/config.tsdocs/api/pool.mddocs/cli.mddocs/concepts/architecture.mddocs/deployment/github-pages.mddocs/examples.mddocs/getting-started.mddocs/index.mdpackage.json
| "restaurant", | ||
| RestaurantAgent, | ||
| stt="deepgram/nova-3:multi", | ||
| llm="openai/gpt-4.1-mini", |
There was a problem hiding this comment.
🧩 Analysis chain
🌐 Web query:
What is the correct model identifier for OpenAI's GPT-4 mini model as of March 2026?
💡 Result:
The correct model identifier for OpenAI's GPT-4o mini model (commonly referred to as GPT-4 mini) is "gpt-4o-mini". This is confirmed by official OpenAI API documentation pages dedicated to the model, listing it as the primary alias along with snapshots like "gpt-4o-mini-2024-07-18". Although some pages for the model return "Page not found" (suggesting possible deprecation or archival in ChatGPT contexts post-February 2026), the main model documentation remains accessible, and deprecation notices explicitly state no changes to API availability as of March 2026. No evidence of a "gpt-4-mini" identifier exists; "gpt-4o-mini" is the standard.
Citations:
- 1: https://developers.openai.com/api/docs/models/gpt-4o-mini
- 2: https://platform.openai.com/docs/models/gpt-4o-mini
- 3: https://developers.openai.com/api/docs/models/all
- 4: https://platform.openai.com/docs/deprecations/
- 5: https://developers.openai.com/api/docs/models/gpt-4.1-mini
- 6: https://openai.com/index/retiring-gpt-4o-and-older-models/
Update the LLM model identifier to the correct value.
The example uses "openai/gpt-4.1-mini", but the correct OpenAI model identifier is "gpt-4o-mini". Change the code to:
Suggested fix
llm="openai/gpt-4o-mini",
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/api/pool.md` at line 95, Update the LLM model identifier used in the
example by replacing the incorrect string value "openai/gpt-4.1-mini" assigned
to the llm parameter with the correct OpenAI model identifier "gpt-4o-mini"
(i.e., change the llm assignment in the example snippet).
| stt="deepgram/nova-3:multi", | ||
| llm="openai/gpt-4.1-mini", | ||
| tts="cartesia/sonic-3", |
There was a problem hiding this comment.
🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
# Check if this model identifier pattern is used consistently across the codebase
rg -n "gpt-4.1-mini" --type py --type mdRepository: mahimairaja/openrtc-python
Length of output: 345
🌐 Web query:
OpenAI current model names gpt-4 mini 2025
💡 Result:
As of March 19, 2026, OpenAI's current flagship models are from the GPT-5.4 family, including gpt-5.4 (flagship for complex reasoning and coding), gpt-5.4-mini (strong mini model for coding, computer use, and subagents), and gpt-5.4-nano (cheapest for simple high-volume tasks). These are recommended in official docs for starting points, with knowledge cutoff Aug 31, 2025. Older models like GPT-4o mini (released July 2024) are legacy and largely retired from ChatGPT by February 2026, though some may remain in API. No model named "gpt-4 mini" exists; the query likely refers to GPT-4o mini or the new gpt-5.4-mini. Other active models include o-series like o3 and o4-mini for reasoning, and specialized ones for image/video/audio.
Citations:
- 1: https://platform.openai.com/docs/guides/gpt/gpt-models
- 2: https://platform.openai.com/docs/models/compare
- 3: https://platform.openai.com/docs/models
- 4: https://openai.com/index/introducing-gpt-5-4/
- 5: https://platform.openai.com/docs/models/gpt-5.4
- 6: https://developers.openai.com/api/docs/models/gpt-5.4-mini
- 7: https://help.openai.com/en/articles/9624314-model-release-notes
🏁 Script executed:
# Check framework docs or README for explanation of model identifier format
cat README.md | head -50Repository: mahimairaja/openrtc-python
Length of output: 209
🏁 Script executed:
# Look for any documentation or comments explaining the model naming convention
rg -n "gpt-4o-mini|gpt-4-turbo|model.*identifier" --type md --type py | head -20Repository: mahimairaja/openrtc-python
Length of output: 52
Update model identifier to a valid OpenAI model name.
The identifier openai/gpt-4.1-mini is not a valid OpenAI model. Current models include gpt-5.4-mini (recommended), or legacy gpt-4o-mini. Update this identifier in docs/getting-started.md:37 and also in tests/test_pool.py:21, examples/main.py:14 and examples/main.py:22, and docs/api/pool.md:95 for consistency.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/getting-started.md` around lines 36 - 38, Replace the invalid model
identifier "openai/gpt-4.1-mini" with a current OpenAI model name (recommended
"gpt-5.4-mini") across all occurrences; specifically update the llm setting
string (e.g., llm="openai/gpt-4.1-mini" or just "gpt-4.1-mini") in
docs/getting-started.md, tests/test_pool.py, both places in examples/main.py,
and docs/api/pool.md so they consistently use "gpt-5.4-mini" (or
"openai/gpt-5.4-mini" if your codebase prefixes provider names).
1 participant
Motivation
gh-pagesbranch.Description
docs/with configuration indocs/.vitepress/config.tsand a sitebaseof/openrtc-python/.index.md,getting-started.md,concepts/architecture.md,api/pool.md,examples.md,cli.md, anddeployment/github-pages.mdalong withdocs/public/logo.svg.package.jsonwithdocs:dev,docs:build, anddocs:previewscripts and avitepressdevDependency for building the site.docs.ymlto build the docs on PRs and pushes anddeploy-docs.ymlto build, upload the site artifact, and deploy to GitHub Pages usingactions/deploy-pages.Testing
build-docsis configured to runnpm installandnpm run docs:buildonpull_requestandpushevents.deploy-docs.ymlworkflow is configured to build the site, uploaddocs/.vitepress/distas an artifact, and publish withactions/deploy-pages@v4when run onmain.Codex Task
Summary by CodeRabbit
Documentation
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