* feat(provider): add OpenCode Zen/Go subscription support
Add OpenCode as a first-class provider, enabling users to connect their
Zen (pay-as-you-go) and Go ($10/mo) subscriptions via the /provider command.
New integration descriptors:
- vendors/opencode.ts — OpenCode Zen vendor (41 models)
- gateways/opencode-go.ts — OpenCode Go gateway (12 models)
- brands/opencode.ts — brand descriptor
- models/opencode.ts — full model catalog (GPT, Claude, Gemini, Qwen,
GLM, Kimi, MiniMax, Grok, DeepSeek, MiMo, Nemotron)
Modified files:
- integrationArtifacts.generated.ts — register descriptors and presets
- providerProfile.ts — add OPENCODE_API_KEY env/secret key, 'opencode'
profile type, and buildLaunchEnv handler
- providerConfig.ts — add DEFAULT_OPENCODE_BASE_URL constants
Auth: OPENCODE_API_KEY env var or interactive key entry in /provider
Transport: openai-compatible (chat_completions)
Base URLs: https://opencode.ai/zen/v1 (Zen), /zen/go/v1 (Go)
* feat(provider): add [Zen]/[Go] tags to OpenCode preset labels
Add visual tags in the /provider preset selection to distinguish
OpenCode Zen (pay-as-you-go) from OpenCode Go (subscription).
* feat(provider): enable dynamic model discovery for OpenCode
Switch OpenCode vendor and Go gateway from static to hybrid model
catalog with openai-compatible discovery. Models are fetched from
/v1/models on startup and cached for 1 hour. Manual refresh is
supported via the /provider UI.
Static model list is preserved as fallback when discovery fails.
* test(provider): add comprehensive OpenCode Zen/Go test suite
97 tests across 2 files covering:
Integration tests (72 tests):
- Vendor descriptor: id, label, classification, base URL, model, auth,
transport, preset, validation, catalog, discovery, usage metadata
- Gateway descriptor: id, label, vendorId, category, base URL, model,
auth, transport, preset, catalog, discovery
- Brand descriptor: id, label, canonicalVendorId, capabilities, modelIds
- Model catalog: registration, vendor/gateway associations, required
fields, valid classifications, reasoning/coding tags, no duplicates,
model counts (41 Zen, 12 Go), modelDescriptorId consistency
- Cross-reference: brand↔model, vendor↔model, gateway↔model,
shared OPENCODE_API_KEY
- Registry validation: no errors, no preset conflicts
- Edge cases: unique ids, unique apiNames, non-empty labels, valid
contextWindow/maxOutputTokens, valid defaultModel format, validation
message content, discovery config
Profile tests (25 tests):
- Type guard: isProviderProfile('opencode'), rejects invalid values
- buildLaunchEnv: persisted env, defaults, process env precedence,
OPENCODE_API_KEY mapping, whitespace/null/undefined/empty handling,
very long keys, special characters, concurrent access, boundary
values, no credential leakage
* fix(provider): add per-model endpoint routing (P1)
Add endpointPath field to OpenAIShimTransportConfig so catalog entries
can specify which API path to use per model. This addresses the
maintainer's [P1] finding that all models were routed to
/chat/completions regardless of their upstream endpoint.
Changes:
- descriptors.ts: add endpointPath?: string to OpenAIShimTransportConfig
- openaiShim.ts: buildRequestUrl checks shimConfig.endpointPath first
- vendors/opencode.ts: add transportOverrides to 31 catalog entries
(GPT→/responses, Claude/Qwen→/messages, Gemini→/models/<id>)
+ switch to source: 'static' to prevent free models from live API
- gateways/opencode-go.ts: add transportOverrides to 4 entries
(MiniMax/Qwen→/messages) + switch to source: 'static'
- opencode.test.ts: update tests for static source, remove discovery tests
* refactor(opencode): model OpenCode Zen/Go as gateways (P2)
* docs(provider): document OpenCode setup and move badge metadata to descriptors
- Add OpenCode Zen/Go rows to README supported providers table
- Add OpenCode Zen/Go examples and OPENCODE_API_KEY to advanced-setup.md
- Add PresetBadge type to descriptor/manifest with badge propagation in
artifact generator
- Move 4 hard-coded preset badges ([FREE], [Sponsor], [Zen], [Go]) from
ProviderManager.tsx into descriptor preset metadata
- Add badge field to providerUiMetadata so UI components read from manifest
- Update integration overview docs to recommend preset.badge for future
gateways
* fix(provider): match request body to endpoint format for OpenCode /messages and /responses (P1)
Extend the openaiShim transport so that endpointPath overrides select
both the URL and the correct body/response format:
- /responses → OpenAI Responses API body (input, max_output_tokens)
- /messages → Anthropic Messages API body (content blocks, system, max_tokens)
Also fixes: abort listener leak in SSE passthrough, system prompt
content-block flattening, and removes [Zen]/[Go] badge entries (P3).
Co-Authored-By: OpenClaude (mimo-v2.5-pro) <openclaude@gitlawb.com>
* fix(provider): add Google AI SDK body/response format for OpenCode Zen Gemini models (P1)
The three Gemini models in the OpenCode Zen catalog (gemini-3.5-flash,
gemini-3.1-pro, gemini-3-flash) were sending chat-completions body to
the /models/gemini-* endpoint, which expects Google AI SDK format.
- effectiveTransport now detects /models/gemini- endpointPath → 'gemini'
- buildGeminiBody() converts Anthropic messages → Google contents[]
with role mapping, systemInstruction, generationConfig, functionDeclarations
- geminiSseToAnthropic() parses Google SSE frames → Anthropic stream events
with text deltas, functionCall tool_use, finishReason mapping
- _convertGeminiToAnthropicResponse() for non-streaming responses
- Streaming/non-streaming routing via URL detection (/models/gemini-)
- serializeBody(), hasToolsPayload, omitGeminiTools all updated
* fix: prevent OpenCode model descriptors from shadowing canonical limits
P1: Prefix all defaultModel values in opencode.ts with 'opencode-'
so the fallback findModelDescriptorForApiName() doesn't match
canonical model names. The OpenCode descriptors are still found
via catalog entry lookup when the OpenCode route is active.
P2: Add 'OpenCode Go' and 'OpenCode Zen' to PRESET_ORDER in
ProviderManager.test.tsx between 'OpenAI' and 'OpenRouter'
so navigateToPreset() sends the correct number of j keypresses.
* fix: align OpenCode Go descriptor metadata with Zen
- category: 'hosted' → 'aggregating' (both are aggregating gateways)
- add validation block with OPENCODE_API_KEY guidance
- update test assertion from 'hosted' to 'aggregating'
* fix: accept OPENAI_API_KEY as fallback in OpenCode validation
When users set up OpenCode Zen/Go via /provider, the key is saved as
OPENAI_API_KEY (via buildCompatibilityProcessEnv). The validation block
only checked OPENCODE_API_KEY, causing a startup warning even though
the runtime auth header had the key it needed.
Add OPENAI_API_KEY to validation.credentialEnvVars for both gateways,
matching the pattern used by Hicap and Gitlawb Opengateway.
* chore: trigger mergeability recheck
* feat(shim): forward effort/thinking to OpenCode Zen/Go endpoints
- buildResponsesBody: add reasoning_effort + reasoning_summary + include
- buildAnthropicMessagesBody: add thinking config (adaptive/enabled/budget)
- buildGeminiBody: add thinkingConfig with thinkingLevel mapping
- modelSupportsEffort: allow OpenCode Claude and Gemini models
- modelSupportsMaxEffort: add opus-4-7
- getAvailableEffortLevels: show standard levels for OpenCode native models
- opencode-go: add missing validation block
* feat: update OpenCode Zen and Go model counts, add new models, and enhance effort level handling
* feat: implement xhigh effort support for specific models and adjust effort level handling
* fix(effort): address reviewer feedback on xhigh + new models
- docs/advanced-setup.md: bump OpenCode Go count 12 → 13
- openaiShim.ts: include opus-4-8 / opus-4.8 in the adaptive thinking
detection so the new model uses the adaptive + effort path instead
of falling back to budgetTokens
- effort.ts: modelUsesOpenAIEffort now also rejects models that include
'claude-' or 'gemini-' — without this, OpenCode Claude/Gemini
routes (provider=openai) were misclassified as OpenAI-style and
could leak xhigh past the new gate
- effort.codex.test.ts: lock in the new exclusion with a regression
test against the openai provider
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(effort): address reviewer feedback on xhigh effort + new models
Closes the three P2 findings from PR #1505 review:
1. Settings schema now accepts 'xhigh' so a persisted xhigh survives
restart instead of being silently dropped by .catch(undefined).
2. ModelPicker /effort cycle is driven by getAvailableEffortLevels(model)
instead of a boolean includeMax, so models supporting xhigh
(opus-4-7/4-8, OpenAI/Codex) can actually select it from the picker.
displayEffort clamp now uses the available levels list, so stale
xhigh also clamps to high when the focused model doesn't support it.
3. SDK/control metadata uses getAvailableEffortLevels(model) instead of
the EFFORT_LEVELS fallback that advertised xhigh to every max-capable
model. SDK schema + generated types extended to include 'xhigh'.
Also fixes a latent generator bug: the array case in generate-sdk-types
now parenthesizes union/intersection elements so the trailing [] binds
the whole type, e.g. ("a"|"b")[] rather than "a"|"b[]. Without this,
the regenerated xhigh levels ended up typed as the single-literal
"xhigh"[] and broke the modelInfo assignability check.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore(effort): order xhigh before max in EFFORT_LEVELS
EFFORT_LEVELS now matches getAvailableEffortLevels() output order
(['low', 'medium', 'high', 'xhigh', 'max']), and the order asserted by
the existing effort.codex.test.ts tests.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore(effort): order xhigh before max in settings + SDK schemas
Matches the EFFORT_LEVELS / getAvailableEffortLevels order from the
previous commit. The Zod enum order doesn't affect runtime validation,
but keeps the source consistent and avoids confusion if anyone reads
the enum literal to infer display order.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(effort): clamp ModelPicker selection and mark xhigh as current
- ModelPicker.handleSelect: clamp the emitted/persisted effort to the
focused model's available levels so a toggled-but-unsupported level
(e.g. 'xhigh' on a model that doesn't support it) is never written
to settings.json or handed to the consumer. Add focusedAvailableLevels
+ focusedDefaultEffort to the memo guard so the function regenerates
when the focused model changes.
- EffortPicker: compare the xhigh option against the persisted 'xhigh'
level directly. The 'max' alias path is kept only for legacy
settings.json values that still hold 'max' from before xhigh was
introduced.
* docs(effort): fix stale EffortPicker comment about xhigh normalization
openAIEffortToStandard is a type cast that passes 'xhigh' through as a
first-class EffortLevel — the shim only converts to 'max' at the
Anthropic request boundary, not here. Update the comment to match.
* docs(effort): update /effort help to match xhigh support matrix
The /effort --help output still described max as "Opus 4.6 only" and
xhigh as an "alias for max", but this PR promotes xhigh to a first-class
EffortLevel and allows it for OpenCode Claude Opus 4.7/4.8 (with max
also allowed for those Opus variants). Update the help so it matches
the picker/runtime behavior:
- max: "(Opus 4.6+)"
- xhigh: "(OpenAI/Codex and Opus 4.7+)"
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(sdk): address reviewer P2 — sync xhigh across override union, schemas, CLI
- Add 'xhigh_effort' to ModelCapabilityOverride union so the new
call at effort.ts:93 typechecks (P2 finding 1).
- Add 'xhigh' to AgentDefinition.effort enum (coreSchemas.ts) and
control.applied.effort enum (controlSchemas.ts), then regenerate
coreTypes.generated.ts so the SDK public contract matches the
first-class effort level (P2 finding 2).
- Add 'xhigh' to the --effort CLI flag allowed list and help text
(main.tsx:945-951) so users can actually pass --effort xhigh
instead of hitting "It must be one of: low, medium, high, max".
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(effort): narrow allowlist to shim-serialized models; sync max description
Address reviewer findings on PR #1505:
P2: The broad `m.includes('opus-4') || m.includes('sonnet-4')` branch
made older variants (claude-opus-4-1, claude-sonnet-4-5) advertise
effort support, but the Anthropic /messages shim only serializes
low/medium as anthropicBody.effort for the isAdaptive || isOpus45
set (opus-4-5/4-6/4-7/4-8, sonnet-4-6). For other models the shim
only emits thinking for high/max, so low/medium on those models
was silently dropped on the wire. Collapse the two 4-model branches
into one that matches the shim's serialization set; the substring
match still covers prefix variations (claude-, opencode-claude-).
P3: getEffortLevelDescription('max') said "Opus 4.6 only" but
modelSupportsMaxEffort now allows opus-4-6, opus-4-7, opus-4-8.
Update the shared description to "Opus 4.6+" so the picker and
/effort confirmation agree with the new support matrix (matching
the /effort --help text from 3cf5de2).
Add effort.codex.test.ts coverage: assert that opus-4-5/4-6/4-7/4-8
and sonnet-4-6 support effort, while opus-4-1, opus-4-2, and
sonnet-4-5 do not (the latter three were previously true via the
broad substring match and are now correctly excluded).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: trigger CodeRabbit re-review
* fix(effort): gate modelSupportsXHighEffort on modelSupportsEffort
---------
Co-authored-by: Gravirei <gravirei@users.noreply.github.com>
Co-authored-by: OpenClaude (mimo-v2.5-pro) <openclaude@gitlawb.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
15 KiB
OpenClaude
OpenClaude is an open-source coding-agent CLI for cloud and local model providers.
Use OpenAI-compatible APIs, Gemini, GitHub Models, Codex OAuth, Codex, Ollama, Atomic Chat, and other supported backends while keeping one terminal-first workflow: prompts, tools, agents, MCP, slash commands, and streaming output.
OpenClaude is also mirrored to GitLawb: gitlawb.com/node/repos/z6MkqDnb/openclaude
Quick Start | Setup Guides | Providers | Source Build | VS Code Extension | Sponsors | Community
Sponsors
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| GitLawb | Bankr.bot | Atomic Chat | Xiaomi MiMo | Atlas Cloud |
Star History
Why OpenClaude
- Use one CLI across cloud APIs and local model backends
- Save provider profiles inside the app with
/provider - Run with OpenAI-compatible services, Gemini, GitHub Models, Codex OAuth, Codex, Ollama, Atomic Chat, and other supported providers
- Keep coding-agent workflows in one place: bash, file tools, grep, glob, agents, tasks, MCP, and web tools
- Use the bundled VS Code extension for launch integration and theme support
Quick Start
Install
npm install -g @gitlawb/openclaude@latest
If you're on Arch Linux, you can install OpenClaude from the community-maintained AUR package:
paru -S openclaude
If the install later reports ripgrep not found, install ripgrep system-wide and confirm rg --version works in the same terminal before starting OpenClaude.
Verify / troubleshoot installed version:
openclaude --version
npm view @gitlawb/openclaude dist-tags
npm install -g @gitlawb/openclaude@latest
Start
openclaude
Inside OpenClaude:
- run
/providerfor guided provider setup and saved profiles - run
/onboard-githubfor GitHub Models onboarding
Fastest OpenAI setup
macOS / Linux:
export CLAUDE_CODE_USE_OPENAI=1
export OPENAI_API_KEY=sk-your-key-here
export OPENAI_MODEL=gpt-4o
openclaude
Windows PowerShell:
$env:CLAUDE_CODE_USE_OPENAI="1"
$env:OPENAI_API_KEY="sk-your-key-here"
$env:OPENAI_MODEL="gpt-4o"
openclaude
Fastest local Ollama setup
macOS / Linux:
export CLAUDE_CODE_USE_OPENAI=1
export OPENAI_BASE_URL=http://localhost:11434/v1
export OPENAI_MODEL=qwen2.5-coder:7b
openclaude
Windows PowerShell:
$env:CLAUDE_CODE_USE_OPENAI="1"
$env:OPENAI_BASE_URL="http://localhost:11434/v1"
$env:OPENAI_MODEL="qwen2.5-coder:7b"
openclaude
Setup Guides
Beginner-friendly guides:
Advanced and source-build guides:
Supported Providers
| Provider | Setup Path | Notes |
|---|---|---|
| OpenAI-compatible | /provider or env vars |
Works with OpenAI, OpenRouter, DeepSeek, Groq, Mistral, LM Studio, and other compatible /v1 servers |
| Hicap | /provider or OpenAI-compatible env vars |
Uses api-key auth, discovers models from unauthenticated /models, and supports Responses mode for gpt- models |
| Gemini | /provider or env vars |
Supports API key only |
| GitHub Models | /onboard-github |
Interactive onboarding with saved credentials |
| Codex OAuth | /provider |
Opens ChatGPT sign-in in your browser and stores Codex credentials securely |
| Codex | /provider |
Uses existing Codex CLI auth, OpenClaude secure storage, or env credentials |
| Gitlawb Opengateway | Startup default, /provider, or env vars |
Smart gateway at https://opengateway.gitlawb.com/v1; requires an API key from https://gitlawb.com/opengateway/keys and routes Xiaomi MiMo and GMI Cloud partner models by OPENAI_MODEL |
| OpenCode Zen | /provider or env vars |
Pay-as-you-go AI gateway (43 models); uses OPENCODE_API_KEY via https://opencode.ai/zen/v1; shared key with OpenCode Go |
| OpenCode Go | /provider or env vars |
$10/mo subscription for open models (13 models); uses OPENCODE_API_KEY via https://opencode.ai/zen/go/v1; shared key with OpenCode Zen |
| Xiaomi MiMo | /provider or env vars |
OpenAI-compatible API at https://mimo.mi.com; uses MIMO_API_KEY and defaults to mimo-v2.5-pro |
| Ollama | /provider or env vars |
Local inference with no API key |
| Atomic Chat | /provider, env vars, or bun run dev:atomic-chat |
Local Model Provider; auto-detects loaded models |
| Bedrock / Vertex / Foundry | env vars | Anthropic-family cloud routes; Vertex is for Claude on Vertex AI, not arbitrary Model Garden models |
What Works
- Tool-driven coding workflows: Bash, file read/write/edit, grep, glob, agents, tasks, MCP, and slash commands
- Streaming responses: Real-time token output and tool progress
- Tool calling: Multi-step tool loops with model calls, tool execution, and follow-up responses
- Images: URL and base64 image inputs for providers that support vision
- Provider profiles: Guided setup plus saved user-level provider profile support
- Local and remote model backends: Cloud APIs, local servers, and Apple Silicon local inference
Provider Notes
OpenClaude supports multiple providers, but behavior is not identical across all of them.
- Anthropic-specific features may not exist on other providers
- Tool quality depends heavily on the selected model
- Smaller local models can struggle with long multi-step tool flows
- Some providers impose lower output caps than the CLI defaults, and OpenClaude adapts where possible
- Gitlawb Opengateway is the fresh-install startup default and requires an API key from https://gitlawb.com/opengateway/keys. It uses one OpenAI-compatible base URL; switch between
mimo-*andgoogle/gemini-3.1-flash-lite-previewwith/model, and do not pin the base URL to/v1/xiaomi-mimo. - Xiaomi MiMo uses
api-keyheader auth on the direct OpenAI-compatible route and currently does not support/usagereporting in OpenClaude
For best results, use models with strong tool/function calling support.
Agent Routing
OpenClaude can route different agents to different models through settings-based routing. This is useful for cost optimization or splitting work by model strength.
Add to ~/.openclaude.json:
{
"agentModels": {
"deepseek-v4-flash": {
"base_url": "https://api.deepseek.com/v1",
"api_key": "sk-your-key"
},
"zai-default": {
"model": "glm-5.1",
"base_url": "https://api.z.ai/api/coding/paas/v4",
"api_key": "sk-your-key"
},
"gpt-4o": {
"base_url": "https://api.openai.com/v1",
"api_key": "sk-your-key"
}
},
"agentRouting": {
"Explore": "deepseek-v4-flash",
"Plan": "gpt-4o",
"general-purpose": "gpt-4o",
"frontend-dev": "zai-default",
"default": "gpt-4o"
}
}
When no routing match is found, the global provider remains the fallback.
agentRouting values and explicit Agent tool model overrides match keys in agentModels. By default, that key is also the model string sent to the provider. Set agentModels.<key>.model when you want a local route key such as zai-default to call a different provider model name such as glm-5.1.
Note:
/providerchanges the global/parent provider for your current session.agentModelsandagentRoutingare specifically for configuring per-agent provider overrides while keeping the parent session unchanged.
Note:
api_keyvalues insettings.jsonare stored in plaintext. Keep this file private and do not commit it to version control.
Web Search and Fetch
By default, WebSearch works on non-Anthropic models using DuckDuckGo. This gives GPT-4o, DeepSeek, Gemini, Ollama, and other OpenAI-compatible providers a free web search path out of the box.
Note: DuckDuckGo fallback works by scraping search results and may be rate-limited, blocked, or subject to DuckDuckGo's Terms of Service. If you want a more reliable supported option, configure Firecrawl.
For Anthropic-native backends and Codex responses, OpenClaude keeps the native provider web search behavior.
WebFetch works, but its basic HTTP plus HTML-to-markdown path can still fail on JavaScript-rendered sites or sites that block plain HTTP requests.
Set a Firecrawl API key if you want Firecrawl-powered search/fetch behavior:
export FIRECRAWL_API_KEY=your-key-here
With Firecrawl enabled:
WebSearchcan use Firecrawl's search API while DuckDuckGo remains the default free path for non-Claude modelsWebFetchuses Firecrawl's scrape endpoint instead of raw HTTP, handling JS-rendered pages correctly
Free tier at firecrawl.dev includes 500 credits. The key is optional.
Headless gRPC Server
OpenClaude can be run as a headless gRPC service, allowing you to integrate its agentic capabilities (tools, bash, file editing) into other applications, CI/CD pipelines, or custom user interfaces. The server uses bidirectional streaming to send real-time text chunks, tool calls, and request permissions for sensitive commands.
1. Start the gRPC Server
Start the core engine as a gRPC service on localhost:50051:
npm run dev:grpc
Configuration
| Variable | Default | Description |
|---|---|---|
GRPC_PORT |
50051 |
Port the gRPC server listens on |
GRPC_HOST |
localhost |
Bind address. Use 0.0.0.0 to expose on all interfaces (not recommended without authentication) |
2. Run the Test CLI Client
We provide a lightweight CLI client that communicates exclusively over gRPC. It acts just like the main interactive CLI, rendering colors, streaming tokens, and prompting you for tool permissions (y/n) via the gRPC action_required event.
In a separate terminal, run:
npm run dev:grpc:cli
Note: The gRPC definitions are located in src/proto/openclaude.proto. You can use this file to generate clients in Python, Go, Rust, or any other language.
Source Build And Local Development
bun install
bun run build
node dist/cli.mjs
Helpful commands:
bun run devbun testbun run test:coveragebun run security:pr-scan -- --base origin/mainbun run smokebun run doctor:runtimebun run verify:privacy- focused
bun test ...runs for the areas you touch
Testing And Coverage
OpenClaude uses Bun's built-in test runner for unit tests.
Run the full unit suite:
bun test
Generate unit test coverage:
bun run test:coverage
Open the visual coverage report:
open coverage/index.html
If you already have coverage/lcov.info and only want to rebuild the UI:
bun run test:coverage:ui
Use focused test runs when you only touch one area:
bun run test:providerbun run test:provider-recommendationbun test path/to/file.test.ts
Recommended contributor validation before opening a PR:
bun run buildbun run smokebun run test:coveragefor broader unit coverage when your change affects shared runtime or provider logic- focused
bun test ...runs for the files and flows you changed
Coverage output is written to coverage/lcov.info, and OpenClaude also generates a git-activity-style heatmap at coverage/index.html.
Repository Structure
src/- core CLI/runtimescripts/- build, verification, and maintenance scriptsdocs/- setup, contributor, and project documentationpython/- standalone Python helpers and their testsvscode-extension/openclaude-vscode/- VS Code extension.github/- repo automation, templates, and CI configurationbin/- CLI launcher entrypoints
VS Code Extension
The repo includes a VS Code extension in vscode-extension/openclaude-vscode for OpenClaude launch integration, provider-aware Control Center, in-editor chat, theme support, and optional Microsoft Foundry / Azure OpenAI configuration (endpoint, API version, deployment, API key via Secret Storage) injected into launched terminals. See that folder’s README.
Security
If you believe you found a security issue, see SECURITY.md.
Community
- Use GitHub Discussions for Q&A, ideas, and community conversation
- Use GitHub Issues for confirmed bugs and actionable feature work
Contributing
Contributions are welcome.
For larger changes, open an issue first so the scope is clear before implementation. Helpful validation commands include:
bun run buildbun run test:coveragebun run smoke- focused
bun test ...runs for files and flows you changed
Disclaimer
OpenClaude is an independent community project and is not affiliated with, endorsed by, or sponsored by Anthropic.
OpenClaude originated from the Claude Code codebase and has since been substantially modified to support multiple providers and open use. "Claude" and "Claude Code" are trademarks of Anthropic PBC. See LICENSE for details.
License
See LICENSE.