v5.24.0
109 次代码提交
| 作者 | SHA1 | 备注 | 提交日期 | |
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888dbbca4a |
Refactor AI tool handling and enhance CLI command documentation (#2920)
goreleaser / goreleaser (push) Has been cancelled
* refactor(ai): rename ToolSet to Tools, simplify wiring with WithTools
Move tool discovery/execution fully into the ai package as ai.Tools
(formerly ai.ToolSet), and simplify the usage model:
- NewTools(reg, ai.ToolClient(c)) takes the execution client as an
option instead of threading it through Handler(c) per call
- New ai.WithTools(tools) option wires the tool handler into a model
in one call, replacing ai.WithToolHandler(set.Handler(c))
- ai.DiscoverTools(reg) for one-shot discovery
Before:
set := ai.NewToolSet(reg)
list, _ := set.Discover()
m := ai.New(p, ai.WithToolHandler(set.Handler(client)))
After:
tools := ai.NewTools(reg, ai.ToolClient(client))
list, _ := tools.Discover()
m := ai.New(p, ai.WithTools(tools))
Update ai/flow, micro chat, README, ai integration doc, Atlas Cloud
guide, and blog posts 3/8/9/10.
* feat(cli): add per-interface commands (registry, broker, store, config)
Map go-micro's core interfaces onto the CLI so the framework's
building blocks are inspectable and manipulable from the terminal:
micro registry list/get/watch service discovery
micro broker publish/subscribe pub/sub messaging
micro store read/write/delete/list persistence
micro config get/dump dynamic config (from env)
Structured pluggably in cmd/micro/resource: each interface is one
file exposing a Command() func, all wired through a commandFuncs
slice in resource.go. Adding a new resource command is a single
file plus one slice entry. Shared printJSON/fail helpers keep
output and errors consistent across commands.
Each command's verbs mirror the interface methods. Output is JSON
for structured data, raw for single values. Update README and
getting-started with an "inspecting the framework" section.
* docs: update CLI README with all new commands
Add documentation for commands that were missing from the CLI README:
- micro new --template (crud, pubsub, api)
- micro api (standalone HTTP gateway)
- micro registry list/get/watch
- micro broker publish/subscribe
- micro store read/write/delete/list
- micro config get/dump
- micro chat (interactive LLM agent)
- micro flow run/exec (event-driven orchestration)
- micro mcp serve/list/test
Organized into sections: API Gateway, Inspecting the Framework
(registry, broker, store, config), and AI & Agents (chat, flow, mcp).
* refactor(ai): move History from caller to Request field
History is now pure state (no Generate method). Instead, pass it
via Request.History and call ai.Generate(ctx, model, req):
Before:
hist := ai.NewHistory("system prompt", 50)
resp, _ := hist.Generate(ctx, model, prompt, tools)
After:
hist := ai.NewHistory(50)
resp, _ := ai.Generate(ctx, model, &ai.Request{
Prompt: prompt,
SystemPrompt: "system prompt",
Tools: tools,
History: hist,
})
The model is always the thing you call. History is context you
pass in. ai.Generate() handles the bookkeeping: prepends
accumulated messages before the call, records the exchange after.
NewHistory no longer takes a system prompt (it belongs on the
Request, where it always did).
Update micro chat, ai/flow, and all blog posts/docs.
* refactor(ai): make History a plain message accumulator
History no longer has Generate or touches the model. It's just
Add/Messages/Reset/Len with truncation — a helper for building
Request.Messages across turns.
Before:
hist := ai.NewHistory(50)
resp, _ := ai.Generate(ctx, m, &ai.Request{History: hist, ...})
After:
hist := ai.NewHistory(50)
hist.Add("user", prompt)
resp, _ := m.Generate(ctx, &ai.Request{Messages: hist.Messages(), ...})
hist.Add("assistant", resp.Reply)
Remove History field from Request. Remove package-level
ai.Generate(ctx, model, req) wrapper — users call m.Generate()
directly, which is the interface method. History is a convenience
for accumulating messages, not a participant in generation.
Update micro chat, ai/flow, blog posts 9 and 10.
---------
Co-authored-by: Claude <noreply@anthropic.com>
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3acf74a29a |
Refactor tool management and add CLI commands for interfaces (#2918)
* refactor(ai): rename ToolSet to Tools, simplify wiring with WithTools Move tool discovery/execution fully into the ai package as ai.Tools (formerly ai.ToolSet), and simplify the usage model: - NewTools(reg, ai.ToolClient(c)) takes the execution client as an option instead of threading it through Handler(c) per call - New ai.WithTools(tools) option wires the tool handler into a model in one call, replacing ai.WithToolHandler(set.Handler(c)) - ai.DiscoverTools(reg) for one-shot discovery Before: set := ai.NewToolSet(reg) list, _ := set.Discover() m := ai.New(p, ai.WithToolHandler(set.Handler(client))) After: tools := ai.NewTools(reg, ai.ToolClient(client)) list, _ := tools.Discover() m := ai.New(p, ai.WithTools(tools)) Update ai/flow, micro chat, README, ai integration doc, Atlas Cloud guide, and blog posts 3/8/9/10. * feat(cli): add per-interface commands (registry, broker, store, config) Map go-micro's core interfaces onto the CLI so the framework's building blocks are inspectable and manipulable from the terminal: micro registry list/get/watch service discovery micro broker publish/subscribe pub/sub messaging micro store read/write/delete/list persistence micro config get/dump dynamic config (from env) Structured pluggably in cmd/micro/resource: each interface is one file exposing a Command() func, all wired through a commandFuncs slice in resource.go. Adding a new resource command is a single file plus one slice entry. Shared printJSON/fail helpers keep output and errors consistent across commands. Each command's verbs mirror the interface methods. Output is JSON for structured data, raw for single values. Update README and getting-started with an "inspecting the framework" section. --------- Co-authored-by: Claude <noreply@anthropic.com> |
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c4b4cbef25 |
refactor(ai): rename ToolSet to Tools, simplify wiring with WithTools (#2917)
Move tool discovery/execution fully into the ai package as ai.Tools (formerly ai.ToolSet), and simplify the usage model: - NewTools(reg, ai.ToolClient(c)) takes the execution client as an option instead of threading it through Handler(c) per call - New ai.WithTools(tools) option wires the tool handler into a model in one call, replacing ai.WithToolHandler(set.Handler(c)) - ai.DiscoverTools(reg) for one-shot discovery Before: set := ai.NewToolSet(reg) list, _ := set.Discover() m := ai.New(p, ai.WithToolHandler(set.Handler(client))) After: tools := ai.NewTools(reg, ai.ToolClient(client)) list, _ := tools.Discover() m := ai.New(p, ai.WithTools(tools)) Update ai/flow, micro chat, README, ai integration doc, Atlas Cloud guide, and blog posts 3/8/9/10. Co-authored-by: Claude <noreply@anthropic.com> |
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a9421e5b7e |
Update logo design, add AI integration documentation and blog post (#2916)
* feat: update Go Micro logo to interconnected nodes design Replace the text-on-blue-square logo with a modern icon: three teal nodes connected in a triangle, representing distributed systems. Generated via Atlas Cloud. Clean at all sizes — works as GitHub avatar, favicon, and nav bar icon. * feat: new logo, AI integration architecture doc, and landing page CTA Update logo to triangle-nodes icon + "Go Micro" text wordmark. Save icon-only variant for favicon/avatar use. Add docs/ai-integration.md — a single page that explains how the AI stack fits together: services → registry → MCP gateway → ai/tools → ai.Model → micro chat. Layer-by-layer with code examples, provider table, and "what you don't need" section. Add AI Integration to docs sidebar navigation (after Getting Started). Update the landing page AI section with a direct CTA button linking to the new doc. * fix: restore original logo and add border-radius to all renders Revert logo to original. Add border-radius: 8px to the logo img in the landing page nav, docs layout nav, and blog layout nav so the square logo renders with rounded corners everywhere. Remove unused icon.png. * docs: add micro chat blog post Write blog/10 — a dedicated post for micro chat covering: - What it does (interactive LLM agent for services) - How it works (ai/tools → ai.History → ai.Model stack) - Multi-turn conversation examples - All provider options and env vars - Single prompt mode for scripting - Why it works (registry metadata + doc comments = tool descriptions) - Programmatic usage with the same building blocks - Link to micro flow as the event-driven counterpart Add to blog index. Update blog 9 nav to link forward. --------- Co-authored-by: Claude <noreply@anthropic.com> |
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88aa0cc666 |
Update logo, add AI integration docs, and enhance CLI features (#2915)
* feat: update Go Micro logo to interconnected nodes design
Replace the text-on-blue-square logo with a modern icon: three
teal nodes connected in a triangle, representing distributed
systems. Generated via Atlas Cloud. Clean at all sizes — works
as GitHub avatar, favicon, and nav bar icon.
* feat: new logo, AI integration architecture doc, and landing page CTA
Update logo to triangle-nodes icon + "Go Micro" text wordmark.
Save icon-only variant for favicon/avatar use.
Add docs/ai-integration.md — a single page that explains how the
AI stack fits together: services → registry → MCP gateway →
ai/tools → ai.Model → micro chat. Layer-by-layer with code
examples, provider table, and "what you don't need" section.
Add AI Integration to docs sidebar navigation (after Getting
Started). Update the landing page AI section with a direct CTA
button linking to the new doc.
* fix: restore original logo and add border-radius to all renders
Revert logo to original. Add border-radius: 8px to the logo img
in the landing page nav, docs layout nav, and blog layout nav
so the square logo renders with rounded corners everywhere.
Remove unused icon.png.
* feat(ai): add ai/flow package and micro flow CLI
Add ai/flow — event-driven LLM orchestration for go-micro. A Flow
subscribes to a broker topic, discovers services as tools, and
feeds each event into an LLM that decides which RPCs to call.
Key types:
- flow.New(name, opts...) creates a flow with trigger topic,
prompt template, provider config
- flow.Register(registry, broker, client) wires it into a service
- flow.Execute(ctx, data) runs the flow once (for testing/CLI)
- flow.Results() returns execution history
Add micro flow CLI with two subcommands:
- micro flow run: subscribe to a topic and react to events
- micro flow exec: one-shot execution with inline data
Both output JSON results with flow name, prompt, tool calls,
reply, answer, duration, and errors.
Example:
micro flow run --trigger events.user.created \
--prompt "New user: {{.Data}}. Send welcome email." \
--provider anthropic
micro flow exec --prompt "List all users" --provider anthropic
* docs: update flows blog post with ai/flow package and CLI examples
Add "Update: We Built It" section to blog/9 showing the ai/flow
package API, CLI usage for both event-driven and one-shot modes,
and what it does/doesn't do. Links the conceptual discussion to
the shipped implementation.
* feat(cli): add micro api gateway command, clarify run vs server
Add 'micro api' — a standalone lightweight HTTP-to-RPC gateway:
- POST /{service}/{endpoint} proxies to RPC calls
- GET / lists all services and endpoints
- GET /{service} describes a service
- GET /health returns ok
- Supports Micro-Endpoint header for endpoint routing
- No dashboard, no auth, no hot reload — just the proxy
Update help text to clarify the three gateway modes:
- micro api: bare HTTP-to-RPC proxy
- micro run: development mode (hot reload + gateway + agent playground)
- micro server: production mode (dashboard + auth + JWT)
* docs: update README, getting started, and AI integration for all new features
Update the development workflow table in both README and getting
started to include all CLI commands: micro new --template,
micro api, micro chat, micro flow, micro call.
Getting started:
- Add CRUD template example to quick start
- Update workflow table with 8 stages
- Add AI Integration, MCP, and gRPC Interop to Next Steps
README:
- Add template flag to quick start example
- Update workflow table
- Reorder User Guides with AI Integration prominent
AI Integration doc:
- Update stack diagram to include micro api and ai/flow
- Add micro flow section with Go API and CLI examples
- Add micro api section
- Renumber layers (now 8 instead of 7)
---------
Co-authored-by: Claude <noreply@anthropic.com>
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b97f45106d |
Update logo, add AI integration docs, and implement ai/flow package (#2913)
* feat: update Go Micro logo to interconnected nodes design
Replace the text-on-blue-square logo with a modern icon: three
teal nodes connected in a triangle, representing distributed
systems. Generated via Atlas Cloud. Clean at all sizes — works
as GitHub avatar, favicon, and nav bar icon.
* feat: new logo, AI integration architecture doc, and landing page CTA
Update logo to triangle-nodes icon + "Go Micro" text wordmark.
Save icon-only variant for favicon/avatar use.
Add docs/ai-integration.md — a single page that explains how the
AI stack fits together: services → registry → MCP gateway →
ai/tools → ai.Model → micro chat. Layer-by-layer with code
examples, provider table, and "what you don't need" section.
Add AI Integration to docs sidebar navigation (after Getting
Started). Update the landing page AI section with a direct CTA
button linking to the new doc.
* fix: restore original logo and add border-radius to all renders
Revert logo to original. Add border-radius: 8px to the logo img
in the landing page nav, docs layout nav, and blog layout nav
so the square logo renders with rounded corners everywhere.
Remove unused icon.png.
* feat(ai): add ai/flow package and micro flow CLI
Add ai/flow — event-driven LLM orchestration for go-micro. A Flow
subscribes to a broker topic, discovers services as tools, and
feeds each event into an LLM that decides which RPCs to call.
Key types:
- flow.New(name, opts...) creates a flow with trigger topic,
prompt template, provider config
- flow.Register(registry, broker, client) wires it into a service
- flow.Execute(ctx, data) runs the flow once (for testing/CLI)
- flow.Results() returns execution history
Add micro flow CLI with two subcommands:
- micro flow run: subscribe to a topic and react to events
- micro flow exec: one-shot execution with inline data
Both output JSON results with flow name, prompt, tool calls,
reply, answer, duration, and errors.
Example:
micro flow run --trigger events.user.created \
--prompt "New user: {{.Data}}. Send welcome email." \
--provider anthropic
micro flow exec --prompt "List all users" --provider anthropic
* docs: update flows blog post with ai/flow package and CLI examples
Add "Update: We Built It" section to blog/9 showing the ai/flow
package API, CLI usage for both event-driven and one-shot modes,
and what it does/doesn't do. Links the conceptual discussion to
the shipped implementation.
---------
Co-authored-by: Claude <noreply@anthropic.com>
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28fa44b2ca |
Update logo design, enhance AI integration docs, and simplify navigation (#2912)
* feat: update Go Micro logo to interconnected nodes design Replace the text-on-blue-square logo with a modern icon: three teal nodes connected in a triangle, representing distributed systems. Generated via Atlas Cloud. Clean at all sizes — works as GitHub avatar, favicon, and nav bar icon. * feat: new logo, AI integration architecture doc, and landing page CTA Update logo to triangle-nodes icon + "Go Micro" text wordmark. Save icon-only variant for favicon/avatar use. Add docs/ai-integration.md — a single page that explains how the AI stack fits together: services → registry → MCP gateway → ai/tools → ai.Model → micro chat. Layer-by-layer with code examples, provider table, and "what you don't need" section. Add AI Integration to docs sidebar navigation (after Getting Started). Update the landing page AI section with a direct CTA button linking to the new doc. * fix: restore original logo and add border-radius to all renders Revert logo to original. Add border-radius: 8px to the logo img in the landing page nav, docs layout nav, and blog layout nav so the square logo renders with rounded corners everywhere. Remove unused icon.png. * fix: trim nav to 3 links across all layouts Remove Reference and Home links from nav across landing page, docs layout, and blog layout. Keep only Docs, Blog, GitHub — the three things people actually need. Fixes crowded nav on mobile where 5 links plus a menu button didn't fit. --------- Co-authored-by: Claude <noreply@anthropic.com> |
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985621f4b4 |
AI integration updates (#2911)
* feat: update Go Micro logo to interconnected nodes design Replace the text-on-blue-square logo with a modern icon: three teal nodes connected in a triangle, representing distributed systems. Generated via Atlas Cloud. Clean at all sizes — works as GitHub avatar, favicon, and nav bar icon. * feat: new logo, AI integration architecture doc, and landing page CTA Update logo to triangle-nodes icon + "Go Micro" text wordmark. Save icon-only variant for favicon/avatar use. Add docs/ai-integration.md — a single page that explains how the AI stack fits together: services → registry → MCP gateway → ai/tools → ai.Model → micro chat. Layer-by-layer with code examples, provider table, and "what you don't need" section. Add AI Integration to docs sidebar navigation (after Getting Started). Update the landing page AI section with a direct CTA button linking to the new doc. * fix: restore original logo and add border-radius to all renders Revert logo to original. Add border-radius: 8px to the logo img in the landing page nav, docs layout nav, and blog layout nav so the square logo renders with rounded corners everywhere. Remove unused icon.png. --------- Co-authored-by: Claude <noreply@anthropic.com> |
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7a1ab14847 |
docs: rewrite Anthropic blog post with updated content and new header image (#2910)
goreleaser / goreleaser (push) Has been cancelled
Rewrite blog/3 to reflect current state of the project: - Update numbers (7 providers, image/video support, micro chat) - Add "What Came After" section covering everything shipped since - Tighten prose, remove stale roadmap percentages - Replace generic MCP image with Claude-themed header generated via Atlas Cloud (orange AI orb connecting to service nodes) - Streamline code examples - Update star count and Try It section Co-authored-by: Claude <noreply@anthropic.com> |
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c26d74a8a1 |
Add CRUD, pub/sub, and API gateway templates; update AI features (#2909)
* feat(website): redesign docs and blog layouts, add blog header images Redesign both layouts to match the new landing page: - Consistent nav bar with logo, Docs, Blog, GitHub, Reference, Home - Consistent footer with copyright and links - CSS custom properties for theming - Updated typography, spacing, and code block styling - Active sidebar link highlighting in docs - Dark mode support preserved Generate 4 blog header images via Atlas Cloud: - blog-deploy.png for post 1 (micro deploy) - blog-mcp.png for posts 2, 3, 7 (MCP-related) - blog-agents-demo.png for post 4 (agents demo) - blog-dx.png for post 5 (DX cleanup) - Reuse data-model.png for post 6 (model package) All 7 existing blog posts now have header images. * fix(website): prevent horizontal scroll on mobile landing page Add overflow-x: hidden on html and body. Set max-width: 100% and height: auto on all section and two-col images. Add overflow: hidden to .two-col grid. Constrain hero pre with max-width and overflow-x. Reduce font sizes and padding at mobile breakpoint. * feat(website): add images to remaining core doc pages Generate 5 more images via Atlas Cloud for docs: - registry.png: service discovery diagram - broker.png: pub/sub message broker pattern - transport.png: multi-transport layers (HTTP, gRPC, NATS) - config.png: dynamic configuration from multiple sources - observability.png: monitoring dashboard with metrics/traces Add images to registry.md, broker.md, transport.md, config.md, observability.md, and architecture.md. All 11 main doc pages now have header images. * feat: add sponsor logos to landing page, README images, and flows blog post Add Anthropic and Atlas Cloud sponsor logos to the landing page with links to their respective blog posts. Logos display at 0.7 opacity with hover effect. Add architecture and MCP agent images to the GitHub README for the Overview and MCP sections. Write blog post 9: "From Chat to Flows" — explores the concept of LLM-powered service orchestration. Compares micro chat's interactive model with persistent event-driven flows, shows how the existing building blocks (ai/tools, History, broker) could compose into a flow engine, discusses tradeoffs vs traditional orchestration (Step Functions, Temporal), and includes a working 15-line code example. Explicitly positions it as a concept for community feedback, not an announcement. * feat(website): add animated hero video to landing page Generate a 6-second hero video via Atlas Cloud's image-to-video API (gemini-omni-flash). Shows the microservices network diagram animating with data flowing between nodes. Replace the static hero image with an autoplay muted looping video element. Falls back to the static image via poster attribute and img fallback for browsers without video support. * feat(ai): add VideoModel interface with Atlas Cloud provider Add ai.VideoModel interface for video generation alongside Model and ImageModel. Supports text-to-video and image-to-video via VideoRequest with prompt, reference images, duration, aspect ratio, and resolution fields. Implement GenerateVideo for Atlas Cloud using their async API: POST /api/v1/model/generateVideo → poll /api/v1/model/prediction. Default model is gemini-omni-flash image-to-video. Polls every 5 seconds until completion or context cancellation. Register Atlas Cloud as a video provider via ai.RegisterVideo. Add 3 tests: registration, no-key error, compile-time interface check. Update ai/README.md with VideoModel docs. The ai package now covers all three modalities: - Model (text) — 7 providers - ImageModel (image) — 2 providers (Atlas Cloud, OpenAI) - VideoModel (video) — 1 provider (Atlas Cloud) --------- Co-authored-by: Claude <noreply@anthropic.com> |
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669481224c |
Enhance AI features with ImageModel, History, and website updates (#2907)
* feat(cli): add CRUD, pub/sub, and API gateway templates for micro new
Add --template flag to 'micro new' with three preset templates:
- crud: CRUD service with Create/Read/Update/Delete/List, in-memory
store with sync.RWMutex, UUID generation, pagination, and doc
comments with @example tags for MCP tool discovery.
- pubsub: Event-driven service with Publish/Stats RPCs and a
Subscribe method that hooks into the broker. Includes event
types with ID, type, source, data, and timestamp.
- api: API gateway service with Health and Endpoint RPCs, an
internal HTTP route table, and a response recorder for
proxying requests through RPC.
All templates include MCP-ready doc comments and work with
--no-mcp. The default template (no flag) is unchanged.
Usage:
micro new myservice --template crud
micro new myservice --template pubsub
micro new myservice --template api
* fix(ai): update Atlas Cloud provider to use actual API formats
Fix the Atlas Cloud image generation to use their real async API:
POST /api/v1/model/generateImage → poll /api/v1/model/prediction/{id}
instead of the OpenAI-compatible endpoint which doesn't exist.
Add Quality and OutputFormat fields to ai.ImageRequest for
provider-specific image parameters.
Update default text model from llama-3.3-70b (doesn't exist) to
deepseek-ai/DeepSeek-V3-0324 (their flagship model). Update
default image model to openai/gpt-image-2/text-to-image.
* feat(website): add AI-generated images to landing page, docs, and blog
Generate 5 images via Atlas Cloud's image API (gpt-image-2) to
elevate the website experience:
- hero.png: microservices network graph for landing page
- architecture.png: registry + broker architecture diagram
- mcp-agent.png: AI agent calling services via MCP
- developer-experience.png: terminal showing micro run/chat
- blog-atlas.png: Atlas Cloud unified API illustration
Add visual sections to the landing page with architecture,
MCP integration, and developer experience showcases. Add
images to docs index, MCP docs, and Atlas Cloud blog post.
All images resized to 1200px wide and optimized for web.
Generated using Atlas Cloud sponsor credits.
* feat(website): redesign landing page and add images to docs
Redesign the landing page from a centered card layout to a
full-width modern site with:
- Top navigation bar
- Hero section with gradient background and CTA buttons
- Full-width image showcase sections
- Two-column layout for architecture, MCP, and DX sections
- Feature grid with 6 capabilities
- Footer with links
- Responsive breakpoints for mobile
Generate 3 more images via Atlas Cloud for docs:
- getting-started.png for the getting started guide
- deployment.png for the deployment guide
- data-model.png for the data model docs
Add images to getting-started.md, model.md, and deployment.md.
---------
Co-authored-by: Claude <noreply@anthropic.com>
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86782e6d77 |
Add ImageModel interface and multi-turn conversation support (#2906)
* feat(ai): add ImageModel interface with Atlas Cloud and OpenAI support Add ai.ImageModel interface for text-to-image generation alongside the existing ai.Model for text. Uses the same options pattern (WithAPIKey, WithBaseURL) and the same provider registration system (RegisterImage/NewImage). Implement GenerateImage for Atlas Cloud and OpenAI providers via the OpenAI-compatible /v1/images/generations endpoint. Default image model is gpt-image-1. Responses return images as URL, base64, or both depending on the provider. Update Atlas Cloud blog post and integration guide with image generation examples. Update ai/README.md with ImageModel docs. * fix(website): widen docs content by reducing layout max-width to 1100px Remove the 800px max-width on .content (which left empty space on the right) and reduce the overall .layout and footer from 1400px to 1100px. With the 230px sidebar this gives ~830px of content width — readable and fills the page properly on desktop. * feat(ai): add History for multi-turn conversation state Add ai.History — a lightweight message accumulator that tracks user prompts, assistant replies, and tool call/result pairs across turns. FIFO truncation when message count exceeds the configured limit. System prompt is passed through on every Generate call. Wire History into micro chat so conversations are multi-turn by default (limit 50 messages). Add 'reset' command to clear history mid-session. 5 unit tests covering accumulation, truncation, reset, snapshot isolation, and tool call recording. --------- Co-authored-by: Claude <noreply@anthropic.com> |
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1e2901ad0e |
feat(ai): add ImageModel interface with Atlas Cloud and OpenAI support (#2905)
goreleaser / goreleaser (push) Has been cancelled
Add ai.ImageModel interface for text-to-image generation alongside the existing ai.Model for text. Uses the same options pattern (WithAPIKey, WithBaseURL) and the same provider registration system (RegisterImage/NewImage). Implement GenerateImage for Atlas Cloud and OpenAI providers via the OpenAI-compatible /v1/images/generations endpoint. Default image model is gpt-image-1. Responses return images as URL, base64, or both depending on the provider. Update Atlas Cloud blog post and integration guide with image generation examples. Update ai/README.md with ImageModel docs. Co-authored-by: Claude <noreply@anthropic.com> |
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5968fce2d6 |
docs: add Atlas Cloud sponsorship blog post and integration guide (#2902)
Add blog/8 announcing Atlas Cloud as an official Go Micro sponsor. Covers the sponsorship, Atlas Cloud's platform (300+ models, OpenAI compatibility, enterprise compliance), and how the integration works with the ai package, ai/tools, micro chat, and micro run. Add guides/atlascloud-integration.md with full setup instructions: quick start, configuration options, environment variables, model selection, tool calling with services, and provider swapping. Add Atlas Cloud and AI Provider guides to the docs sidebar navigation. Add sponsorship link to README header. Co-authored-by: Claude <noreply@anthropic.com> |
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a0ad9ee566 |
Claude/fix issue 2893 x3rpd (#2901)
* docs: add AI provider integration guide and Supported AI Providers section Add a step-by-step guide for AI infrastructure companies to implement ai.Model and contribute a provider to go-micro. Covers the full lifecycle: skeleton, tool call handling, tests, registration, and PR checklist. Add a "Supported AI Providers" section to the project README that lists current providers (Anthropic, OpenAI) in a table and links to the integration guide with a call-to-action for new providers and sponsors. Streamline the "Adding a New Provider" section in ai/README.md to point to the new guide instead of duplicating a full code listing. * fix: remove nonexistent Discord link from README * fix(website): set content container width to 800px on desktop Move the 800px max-width from .markdown-body up to .content so the entire content pane (not just the inner body) is sized correctly. The container now fills up to 800px beside the sidebar. * feat(ai): wire Atlas Cloud into server and auto-detection Import atlascloud provider in the micro server so it is available when running micro run / micro server. Add atlascloud to AutoDetectProvider so --ai_base_url with an atlascloud domain selects the right provider automatically. * feat(ai): add Google Gemini provider Add ai/gemini implementing ai.Model for Google's Gemini API. Uses the native generateContent endpoint with system_instruction, contents/parts, and functionDeclarations — not an OpenAI shim. Default model gemini-2.5-flash, auth via x-goog-api-key header. Wire into micro server imports and AutoDetectProvider (matches googleapis.com and google in base URL). Update README.md and ai/README.md with provider listing. * feat(ai): add Groq, Mistral, and Together AI providers Add three new OpenAI-compatible providers: - ai/groq: ultra-fast inference, default model llama-3.3-70b-versatile - ai/mistral: Mistral AI, default model mistral-large-latest - ai/together: Together AI, default model Llama-3.3-70B-Instruct-Turbo All three are wired into the micro server imports and AutoDetectProvider. README and ai/README updated with the full provider table. * feat(ai): add ai/tools helper and 'micro chat' interactive agent Extract the registry-discovery + RPC-execution loop from the web agent playground into a reusable ai/tools package: - tools.New(reg) creates a Set bound to a registry - Set.Discover() walks the registry and returns []ai.Tool with LLM-safe (underscored) names, remembering the mapping back to the original dotted form - Set.Handler(client) returns an ai.ToolHandler that resolves the safe name and issues the RPC Add cmd/micro/chat — an interactive 'micro chat' REPL that uses ai/tools to let users talk to their services through any registered AI provider. Supports --prompt for single-shot use, auto-detects the provider from --base_url, and falls back to the provider's conventional env var (ANTHROPIC_API_KEY, etc). Update README with the new command and the programmatic example. * feat(examples): add gRPC interop example Add examples/grpc-interop showing that any standard gRPC client can call a go-micro service — no go-micro SDK required on the client side. Includes: - proto/greeter.proto with generated Go, gRPC, and micro stubs - server/ using go-micro gRPC transport - client/ using stock google.golang.org/grpc (no go-micro imports) - README with Python example and explanation of how routing works Addresses the confusion from issue #2818 where users didn't know that go-micro gRPC services are callable by any gRPC client. * fix: strip /api prefix from MCP routes Change /api/mcp/tools and /api/mcp/call to /mcp/tools and /mcp/call. MCP is a first-class feature, not a sub-path of the API proxy. Update server routes, playground template, scopes template, run.go output, README, CLI README, and all docs. --------- Co-authored-by: Claude <noreply@anthropic.com> |
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081e375f29 |
Add AI provider integration guide and new providers support (#2900)
* docs: add AI provider integration guide and Supported AI Providers section Add a step-by-step guide for AI infrastructure companies to implement ai.Model and contribute a provider to go-micro. Covers the full lifecycle: skeleton, tool call handling, tests, registration, and PR checklist. Add a "Supported AI Providers" section to the project README that lists current providers (Anthropic, OpenAI) in a table and links to the integration guide with a call-to-action for new providers and sponsors. Streamline the "Adding a New Provider" section in ai/README.md to point to the new guide instead of duplicating a full code listing. * fix: remove nonexistent Discord link from README * fix(website): set content container width to 800px on desktop Move the 800px max-width from .markdown-body up to .content so the entire content pane (not just the inner body) is sized correctly. The container now fills up to 800px beside the sidebar. * feat(ai): wire Atlas Cloud into server and auto-detection Import atlascloud provider in the micro server so it is available when running micro run / micro server. Add atlascloud to AutoDetectProvider so --ai_base_url with an atlascloud domain selects the right provider automatically. * feat(ai): add Google Gemini provider Add ai/gemini implementing ai.Model for Google's Gemini API. Uses the native generateContent endpoint with system_instruction, contents/parts, and functionDeclarations — not an OpenAI shim. Default model gemini-2.5-flash, auth via x-goog-api-key header. Wire into micro server imports and AutoDetectProvider (matches googleapis.com and google in base URL). Update README.md and ai/README.md with provider listing. * feat(ai): add Groq, Mistral, and Together AI providers Add three new OpenAI-compatible providers: - ai/groq: ultra-fast inference, default model llama-3.3-70b-versatile - ai/mistral: Mistral AI, default model mistral-large-latest - ai/together: Together AI, default model Llama-3.3-70B-Instruct-Turbo All three are wired into the micro server imports and AutoDetectProvider. README and ai/README updated with the full provider table. * feat(ai): add ai/tools helper and 'micro chat' interactive agent Extract the registry-discovery + RPC-execution loop from the web agent playground into a reusable ai/tools package: - tools.New(reg) creates a Set bound to a registry - Set.Discover() walks the registry and returns []ai.Tool with LLM-safe (underscored) names, remembering the mapping back to the original dotted form - Set.Handler(client) returns an ai.ToolHandler that resolves the safe name and issues the RPC Add cmd/micro/chat — an interactive 'micro chat' REPL that uses ai/tools to let users talk to their services through any registered AI provider. Supports --prompt for single-shot use, auto-detects the provider from --base_url, and falls back to the provider's conventional env var (ANTHROPIC_API_KEY, etc). Update README with the new command and the programmatic example. * feat(examples): add gRPC interop example Add examples/grpc-interop showing that any standard gRPC client can call a go-micro service — no go-micro SDK required on the client side. Includes: - proto/greeter.proto with generated Go, gRPC, and micro stubs - server/ using go-micro gRPC transport - client/ using stock google.golang.org/grpc (no go-micro imports) - README with Python example and explanation of how routing works Addresses the confusion from issue #2818 where users didn't know that go-micro gRPC services are callable by any gRPC client. --------- Co-authored-by: Claude <noreply@anthropic.com> |
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2f78103fed |
Claude/fix issue 2893 x3rpd (#2899)
* docs: add AI provider integration guide and Supported AI Providers section Add a step-by-step guide for AI infrastructure companies to implement ai.Model and contribute a provider to go-micro. Covers the full lifecycle: skeleton, tool call handling, tests, registration, and PR checklist. Add a "Supported AI Providers" section to the project README that lists current providers (Anthropic, OpenAI) in a table and links to the integration guide with a call-to-action for new providers and sponsors. Streamline the "Adding a New Provider" section in ai/README.md to point to the new guide instead of duplicating a full code listing. * feat(ai): add Atlas Cloud provider Add ai/atlascloud implementing ai.Model for Atlas Cloud's OpenAI-compatible chat completions API. Registers as "atlascloud" with default model llama-3.3-70b and base URL https://api.atlascloud.ai. Supports tool calling via ToolHandler. Includes 7 unit tests covering registration, defaults, init, generate-without-key, and stream-not-implemented. Update the Supported AI Providers table in README.md and the Supported Providers section in ai/README.md. * fix: remove nonexistent Discord link from README * fix(website): remove Micro app banner and widen content to 800px Remove the "Try Micro" promotional banner from the homepage. Set the docs content max-width to 800px for better readability on desktop. --------- Co-authored-by: Claude <noreply@anthropic.com> |
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defb2786ef |
update AI provider documentation (#2897)
goreleaser / goreleaser (push) Has been cancelled
* feat: add prometheus monitoring wrapper Reintroduces the Prometheus metrics wrapper previously available in the plugins repository, updated for go-micro v5. Exposes request count and latency histograms for handlers, subscribers, and outgoing client calls via NewHandlerWrapper, NewSubscriberWrapper, NewCallWrapper and NewClientWrapper, labelled with service/endpoint/status. Options cover namespace, subsystem, const labels, histogram buckets and a custom registerer; duplicate collectors (e.g. from multiple wrappers sharing the same config) are reused transparently via a cached metrics bundle. Fixes #2893 * fix(registry/etcd): clear lease/register caches on KeepAlive channel closure When the etcd client's long-lived KeepAlive channel closes (e.g. because the lease expired on the server side during a network partition), the previous cleanup only removed the channel bookkeeping. The stale entries in `leases` and `register` caused the next registerNode() heartbeat to hit the "unchanged hash" short-circuit and skip re-registration entirely, so the service permanently disappeared from etcd. Extract the cleanup into handleKeepAliveClosed and also drop the cached lease id and hash so the next heartbeat performs a full Grant+Put and the service recovers within one RegisterInterval. Regression introduced by #2822; fix is symmetric with the existing synchronous KeepAliveOnce recovery path that propagates rpctypes.ErrLeaseNotFound. * docs: add AI provider integration guide and Supported AI Providers section Add a step-by-step guide for AI infrastructure companies to implement ai.Model and contribute a provider to go-micro. Covers the full lifecycle: skeleton, tool call handling, tests, registration, and PR checklist. Add a "Supported AI Providers" section to the project README that lists current providers (Anthropic, OpenAI) in a table and links to the integration guide with a call-to-action for new providers and sponsors. Streamline the "Adding a New Provider" section in ai/README.md to point to the new guide instead of duplicating a full code listing. * Update contribution guidelines in README.md Removed Discord contact information for platform contributions. --------- Co-authored-by: Claude <noreply@anthropic.com> |
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d3cfb3a99a | Update app platform name from 'Mu' to 'Micro' | ||
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03f4759474 | Fix inline style attribute in index.html | ||
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f6fb541ace |
Enhance Mu.xyz promotion with styled div
Updated the promotional text for Mu.xyz with enhanced styling. |
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bd13975acf |
Update container width and add promotional text
Increased the maximum width of the container and added a promotional paragraph for Mu.xyz. |
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213a09276e | Update default.html | ||
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f4291957e8 |
Remove Blog link from index.html
Removed the Blog link from the website index. |
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07411b1ef6 |
Remove article on chat app from blog index
Removed an article about building a chat app from the blog. |
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544496eec6 | Delete internal/website/blog/8.md | ||
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2e95c4c610 |
Remove showcase section from index.html
Removed the showcase section for Go Micro projects. |
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d96f12f57b |
Claude/update docs roadmap f zd2 j (#2889)
* feat: add agent platform showcase and blog post Add a complete platform example (Users, Posts, Comments, Mail) that mirrors micro/blog, demonstrating how existing microservices become AI-accessible through MCP with zero code changes. Includes blog post "Your Microservices Are Already an AI Platform" walking through real agent workflows: signup, content creation, commenting, tagging, and cross-service messaging. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: rename handler types to drop redundant Service suffix UserService → Users, PostService → Posts, CommentService → Comments, MailService → Mail. Matches micro/blog naming convention. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: consolidate top-level directories, reduce framework bloat Move internal/non-public packages behind internal/ or into their parent packages where they belong: - deploy/ → gateway/mcp/deploy/ (Helm charts belong with the gateway) - profile/ → service/profile/ (preset plugin profiles are a service concern) - scripts/ → internal/scripts/ (install script is not public API) - test/ → internal/test/ (test harness is not public API) - util/ → internal/util/ (internal helpers shouldn't be imported externally) Also fixes CLAUDE.md merge conflict markers and updates project structure documentation. All import paths updated. Build and tests pass. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: redesign model package to match framework conventions Rename model.Database interface to model.Model (consistent with client.Client, server.Server, store.Store). Remove generics in favor of interface{}-based API with reflection. Key changes: - model.Model interface: Register once, CRUD infers table from type - DefaultModel + NewModel() + package-level convenience functions - Schema registered via Register(&User{}), no per-call schema passing - Memory implementation as default (in model package, like store) - memory/sqlite/postgres backends updated for new interface - protoc-gen-micro generates RegisterXModel() instead of generic factory - All docs, blog, and README updated https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * docs: clarify blog post 7 uses modular monolith, not multi-service Blog post 7 demonstrated all handlers in a single process but framed it as microservices without acknowledging the architectural difference. - Add "A Note on Architecture" section explaining this is a modular monolith demo and pointing to micro/blog for multi-service - Clarify that handlers can be broken out into separate services later - Fix "service registry" language to match single-process reality - Restructure "Adding MCP to Existing Services" to distinguish the in-process approach from registry-based gateway options - Update closing to acknowledge both paradigms - Fix README type names (&CommentService{} -> &Comments{}, etc.) https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * docs: add Micro Chat to website showcase https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: github artifact release CI (#2886) * 👷feat(ci): add artifact and docker releases * 💚fix(ci): build issues * 💚fix(ci): add permissions * 💚fix(ci): multiple artifacts * 💚fix(ci): split archives * 💚fix(ci): cross platform list * 🚧chore(ci): package name * 🐛fix(script): install script extract arch * 👷fix(ci): docker origin go-micro * Update image reference in goreleaser configuration (#2887) Fix wrong order `user/repo` * Add blog post on building a chat app with Go Micro Added a blog post detailing the development of a full chat app using Go Micro, outlining features, architecture, and lessons learned. * docs: add blog post 8 to index, put Blog before Docs on homepage - Add "We Built a Full Chat App in a Day" (blog/8) to blog index - Reorder homepage links: Blog first (primary), Docs second - Rename "Documentation" to "Docs" https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: Alexander Serheyev <74361701+alex-dna-tech@users.noreply.github.com> |
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8608c15fbb |
Add blog post on building a chat app with Go Micro
Added a blog post detailing the development of a full chat app using Go Micro, outlining features, architecture, and lessons learned. |
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9823f6df5c |
Add platform showcase, blog post, and refactor project structure (#2888)
* feat: add agent platform showcase and blog post Add a complete platform example (Users, Posts, Comments, Mail) that mirrors micro/blog, demonstrating how existing microservices become AI-accessible through MCP with zero code changes. Includes blog post "Your Microservices Are Already an AI Platform" walking through real agent workflows: signup, content creation, commenting, tagging, and cross-service messaging. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: rename handler types to drop redundant Service suffix UserService → Users, PostService → Posts, CommentService → Comments, MailService → Mail. Matches micro/blog naming convention. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: consolidate top-level directories, reduce framework bloat Move internal/non-public packages behind internal/ or into their parent packages where they belong: - deploy/ → gateway/mcp/deploy/ (Helm charts belong with the gateway) - profile/ → service/profile/ (preset plugin profiles are a service concern) - scripts/ → internal/scripts/ (install script is not public API) - test/ → internal/test/ (test harness is not public API) - util/ → internal/util/ (internal helpers shouldn't be imported externally) Also fixes CLAUDE.md merge conflict markers and updates project structure documentation. All import paths updated. Build and tests pass. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: redesign model package to match framework conventions Rename model.Database interface to model.Model (consistent with client.Client, server.Server, store.Store). Remove generics in favor of interface{}-based API with reflection. Key changes: - model.Model interface: Register once, CRUD infers table from type - DefaultModel + NewModel() + package-level convenience functions - Schema registered via Register(&User{}), no per-call schema passing - Memory implementation as default (in model package, like store) - memory/sqlite/postgres backends updated for new interface - protoc-gen-micro generates RegisterXModel() instead of generic factory - All docs, blog, and README updated https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * docs: clarify blog post 7 uses modular monolith, not multi-service Blog post 7 demonstrated all handlers in a single process but framed it as microservices without acknowledging the architectural difference. - Add "A Note on Architecture" section explaining this is a modular monolith demo and pointing to micro/blog for multi-service - Clarify that handlers can be broken out into separate services later - Fix "service registry" language to match single-process reality - Restructure "Adding MCP to Existing Services" to distinguish the in-process approach from registry-based gateway options - Update closing to acknowledge both paradigms - Fix README type names (&CommentService{} -> &Comments{}, etc.) https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * docs: add Micro Chat to website showcase https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com> |
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0842431050 |
feat: github artifact release CI (#2886)
goreleaser / goreleaser (push) Has been cancelled
* 👷feat(ci): add artifact and docker releases * 💚fix(ci): build issues * 💚fix(ci): add permissions * 💚fix(ci): multiple artifacts * 💚fix(ci): split archives * 💚fix(ci): cross platform list * 🚧chore(ci): package name * 🐛fix(script): install script extract arch * 👷fix(ci): docker origin go-micro |
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7a5d86a2a4 |
Claude/update docs roadmap f zd2 j (#2885)
* feat: add agent platform showcase and blog post Add a complete platform example (Users, Posts, Comments, Mail) that mirrors micro/blog, demonstrating how existing microservices become AI-accessible through MCP with zero code changes. Includes blog post "Your Microservices Are Already an AI Platform" walking through real agent workflows: signup, content creation, commenting, tagging, and cross-service messaging. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: rename handler types to drop redundant Service suffix UserService → Users, PostService → Posts, CommentService → Comments, MailService → Mail. Matches micro/blog naming convention. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: consolidate top-level directories, reduce framework bloat Move internal/non-public packages behind internal/ or into their parent packages where they belong: - deploy/ → gateway/mcp/deploy/ (Helm charts belong with the gateway) - profile/ → service/profile/ (preset plugin profiles are a service concern) - scripts/ → internal/scripts/ (install script is not public API) - test/ → internal/test/ (test harness is not public API) - util/ → internal/util/ (internal helpers shouldn't be imported externally) Also fixes CLAUDE.md merge conflict markers and updates project structure documentation. All import paths updated. Build and tests pass. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: redesign model package to match framework conventions Rename model.Database interface to model.Model (consistent with client.Client, server.Server, store.Store). Remove generics in favor of interface{}-based API with reflection. Key changes: - model.Model interface: Register once, CRUD infers table from type - DefaultModel + NewModel() + package-level convenience functions - Schema registered via Register(&User{}), no per-call schema passing - Memory implementation as default (in model package, like store) - memory/sqlite/postgres backends updated for new interface - protoc-gen-micro generates RegisterXModel() instead of generic factory - All docs, blog, and README updated https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * docs: clarify blog post 7 uses modular monolith, not multi-service Blog post 7 demonstrated all handlers in a single process but framed it as microservices without acknowledging the architectural difference. - Add "A Note on Architecture" section explaining this is a modular monolith demo and pointing to micro/blog for multi-service - Clarify that handlers can be broken out into separate services later - Fix "service registry" language to match single-process reality - Restructure "Adding MCP to Existing Services" to distinguish the in-process approach from registry-based gateway options - Update closing to acknowledge both paradigms - Fix README type names (&CommentService{} -> &Comments{}, etc.) https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com> |
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8ecdf07e6b | Update description of the blogging platform example | ||
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1bb25d6e7f |
Add agent platform showcase and refactor project structure (#2884)
* feat: add agent platform showcase and blog post Add a complete platform example (Users, Posts, Comments, Mail) that mirrors micro/blog, demonstrating how existing microservices become AI-accessible through MCP with zero code changes. Includes blog post "Your Microservices Are Already an AI Platform" walking through real agent workflows: signup, content creation, commenting, tagging, and cross-service messaging. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: rename handler types to drop redundant Service suffix UserService → Users, PostService → Posts, CommentService → Comments, MailService → Mail. Matches micro/blog naming convention. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: consolidate top-level directories, reduce framework bloat Move internal/non-public packages behind internal/ or into their parent packages where they belong: - deploy/ → gateway/mcp/deploy/ (Helm charts belong with the gateway) - profile/ → service/profile/ (preset plugin profiles are a service concern) - scripts/ → internal/scripts/ (install script is not public API) - test/ → internal/test/ (test harness is not public API) - util/ → internal/util/ (internal helpers shouldn't be imported externally) Also fixes CLAUDE.md merge conflict markers and updates project structure documentation. All import paths updated. Build and tests pass. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: redesign model package to match framework conventions Rename model.Database interface to model.Model (consistent with client.Client, server.Server, store.Store). Remove generics in favor of interface{}-based API with reflection. Key changes: - model.Model interface: Register once, CRUD infers table from type - DefaultModel + NewModel() + package-level convenience functions - Schema registered via Register(&User{}), no per-call schema passing - Memory implementation as default (in model package, like store) - memory/sqlite/postgres backends updated for new interface - protoc-gen-micro generates RegisterXModel() instead of generic factory - All docs, blog, and README updated https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com> |
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b8fc0902d7 |
Claude/update docs roadmap f zd2 j (#2883)
* feat: add agent platform showcase and blog post Add a complete platform example (Users, Posts, Comments, Mail) that mirrors micro/blog, demonstrating how existing microservices become AI-accessible through MCP with zero code changes. Includes blog post "Your Microservices Are Already an AI Platform" walking through real agent workflows: signup, content creation, commenting, tagging, and cross-service messaging. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: rename handler types to drop redundant Service suffix UserService → Users, PostService → Posts, CommentService → Comments, MailService → Mail. Matches micro/blog naming convention. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com> |
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76bfeae456 |
Claude/update docs roadmap f zd2 j (#2880)
* docs: update all four documentation guides and mark Q2 complete - ai-native-services: add WithMCP one-liner, standalone gateway, WebSocket client example, and OpenTelemetry observability section - mcp-security: add OTel distributed tracing, WebSocket authentication (connection-level and per-message), DeniedReason audit field - tool-descriptions: add manual overrides with WithEndpointDocs and export formats section - agent-patterns: add LangChain/LlamaIndex SDK pattern and standalone gateway production pattern with Docker example - Update roadmap: mark Q2 documentation as complete, Q2 at 100% - Update status: reflect all recent completions, shift priorities https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add agent demo example and blog post Add examples/agent-demo with a multi-service project management app (projects, tasks, team) that demonstrates AI agents interacting with Go Micro services through MCP. Includes seed data and example prompts. Add blog post 4 "Agents Meet Microservices: A Hands-On Demo" walking through the example code and showing cross-service agent workflows. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: enable multiple services in a single binary Remove global state mutations from service and cmd option functions so that configuring one service no longer overwrites another's settings. Key changes: - service/options.go: remove all DefaultXxx global writes from option functions; newOptions() now creates fresh Server, Client, Store, and Cache per service while sharing Registry, Broker, and Transport - cmd/cmd.go: newCmd() uses local copies instead of pointers to package globals; Before() no longer mutates DefaultXxx vars - cmd/options.go: remove global mutations from all option functions - service/service.go: export ServiceImpl type for cross-package use - service/group.go: new Group type for multi-service lifecycle - micro.go: add Start/Stop to Service interface, expose Group and NewGroup convenience function - examples/multi-service: working example with two services https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * docs: highlight multi-service binary support Add multi-service section to README with code example, update features list, add to examples index, and note in status summary. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: unify service API and clean up developer experience - Unified service creation: micro.New("name", opts...) as canonical API - Clean handler registration: service.Handle(handler, opts...) accepts server.HandlerOption args directly, no need to reach through Server() - Unexported serviceImpl: users interact through Service interface only - Service groups use Service interface (not concrete type) - Fixed Stop() to properly propagate BeforeStop/AfterStop errors - Fixed store init: error-level log instead of fatal on init failure - Updated all examples to use consistent patterns - Updated README, getting-started, MCP docs, and guides - Added blog post about the DX cleanup https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * fix: add blog post 5 to blog index Blog post 5 (Developer Experience Cleanup) existed as a file but was missing from the blog index page. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: make micro new generate MCP-enabled services by default - main.go template includes mcp.WithMCP(":3001") by default - Handler template has agent-friendly doc comments with @example tags - Proto template has descriptive field comments - README includes MCP usage, Claude Code config, and tool description tips - Makefile adds mcp-tools, mcp-test, mcp-serve targets - go.mod updated to Go 1.22 - Added --no-mcp flag to opt out of MCP integration - Post-create output shows MCP endpoint URLs https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * docs: add MCP migration guide and troubleshooting guide - Migration guide: 3 approaches to add MCP to existing services (WithMCP one-liner, standalone gateway, CLI) - Troubleshooting guide: common issues with agents, WebSocket, Claude Code, auth, rate limiting, and performance https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: rename model/ package to ai/ for AI model providers The model/ package name conflicted with the conventional use of "model" for data models. Renamed to ai/ which better describes the package's purpose (AI provider abstraction for Anthropic, OpenAI, etc.) and frees up model/ for future data model layer use. - Rename model/ → ai/ with package name change - Update all Go imports from go-micro.dev/v5/model to go-micro.dev/v5/ai - Update cmd/micro/server/server.go references (model.X → ai.X) - Update all documentation and roadmap references - All tests pass, CLI builds successfully https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add model package for typed data access with CRUD and queries New model/ package provides a typed data model layer using Go generics. Supports structured CRUD operations, WHERE filters, ordering, pagination, and automatic schema creation from struct tags. Three backends: - memory: in-memory for development and testing - sqlite: embedded SQL for dev and single-node production - postgres: full PostgreSQL for production deployments Key features: - Generic Model[T] with Create/Read/Update/Delete/List/Count - Query builder: Where(), WhereOp(), OrderAsc/Desc(), Limit(), Offset() - Struct tags: model:"key" for primary key, model:"index" for indexes - Auto table creation from struct schema - 19 tests passing across memory and sqlite backends https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add model code generation to protoc-gen-micro Extend the micro plugin to generate model structs from proto messages annotated with // @model. Generated alongside client/server code in the same .pb.micro.go file. For a proto message like: // @model message User { string id = 1; string name = 2; } Generates: - UserModel struct with model:"key" and json tags - NewUserModel(db) factory returning *model.Model[UserModel] - UserModelFromProto(*User) *UserModel converter - (*UserModel).ToProto() *User converter Supports @model(table=custom_table, key=custom_field) options. Adds GetComments() to generator for plugin comment inspection. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add Model() to Service interface for Client/Server/Model trifecta Every service now exposes Client(), Server(), and Model() — call services, handle requests, and save/query data from the same interface. Includes README docs, blog post, and a full model guide on the docs site. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com> |
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6247b1d065 |
chore: move internal status docs out of top level (#2879)
Move Claude-context working documents to internal/docs/: - CURRENT_STATUS_SUMMARY.md - PROJECT_STATUS_2026.md - ROADMAP_2026.md - IMPLEMENTATION_SUMMARY.md These are session-tracking docs, not useful to most contributors. Top level now only has standard files: README, CHANGELOG, CONTRIBUTING, SECURITY, CLAUDE.md, and ROADMAP. Updated all cross-references in CLAUDE.md, ROADMAP.md, and website docs. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc Co-authored-by: Claude <noreply@anthropic.com> |
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870b540922 |
Claude/mcp dx improvements f zd2 j (#2876)
* docs: add MCP migration guide and troubleshooting guide - Migration guide: 3 approaches to add MCP to existing services (WithMCP one-liner, standalone gateway, CLI) - Troubleshooting guide: common issues with agents, WebSocket, Claude Code, auth, rate limiting, and performance https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add CRUD example, error handling guide, and status updates - CRUD contact book example (examples/mcp/crud/) with 6 operations, rich doc comments, @example tags, and description struct tags - Error handling guide for writing agent-friendly error responses using typed errors, actionable messages, and idempotency patterns - Updated MCP examples index, CLAUDE.md, and status summary https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com> |
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19892f2c67 |
Claude/update docs roadmap f zd2 j (#2874)
* docs: update all four documentation guides and mark Q2 complete - ai-native-services: add WithMCP one-liner, standalone gateway, WebSocket client example, and OpenTelemetry observability section - mcp-security: add OTel distributed tracing, WebSocket authentication (connection-level and per-message), DeniedReason audit field - tool-descriptions: add manual overrides with WithEndpointDocs and export formats section - agent-patterns: add LangChain/LlamaIndex SDK pattern and standalone gateway production pattern with Docker example - Update roadmap: mark Q2 documentation as complete, Q2 at 100% - Update status: reflect all recent completions, shift priorities https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add agent demo example and blog post Add examples/agent-demo with a multi-service project management app (projects, tasks, team) that demonstrates AI agents interacting with Go Micro services through MCP. Includes seed data and example prompts. Add blog post 4 "Agents Meet Microservices: A Hands-On Demo" walking through the example code and showing cross-service agent workflows. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: enable multiple services in a single binary Remove global state mutations from service and cmd option functions so that configuring one service no longer overwrites another's settings. Key changes: - service/options.go: remove all DefaultXxx global writes from option functions; newOptions() now creates fresh Server, Client, Store, and Cache per service while sharing Registry, Broker, and Transport - cmd/cmd.go: newCmd() uses local copies instead of pointers to package globals; Before() no longer mutates DefaultXxx vars - cmd/options.go: remove global mutations from all option functions - service/service.go: export ServiceImpl type for cross-package use - service/group.go: new Group type for multi-service lifecycle - micro.go: add Start/Stop to Service interface, expose Group and NewGroup convenience function - examples/multi-service: working example with two services https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * docs: highlight multi-service binary support Add multi-service section to README with code example, update features list, add to examples index, and note in status summary. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: unify service API and clean up developer experience - Unified service creation: micro.New("name", opts...) as canonical API - Clean handler registration: service.Handle(handler, opts...) accepts server.HandlerOption args directly, no need to reach through Server() - Unexported serviceImpl: users interact through Service interface only - Service groups use Service interface (not concrete type) - Fixed Stop() to properly propagate BeforeStop/AfterStop errors - Fixed store init: error-level log instead of fatal on init failure - Updated all examples to use consistent patterns - Updated README, getting-started, MCP docs, and guides - Added blog post about the DX cleanup https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * fix: add blog post 5 to blog index Blog post 5 (Developer Experience Cleanup) existed as a file but was missing from the blog index page. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com> |
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d2036b880d |
Claude/update docs roadmap f zd2 j (#2873)
* docs: update all four documentation guides and mark Q2 complete - ai-native-services: add WithMCP one-liner, standalone gateway, WebSocket client example, and OpenTelemetry observability section - mcp-security: add OTel distributed tracing, WebSocket authentication (connection-level and per-message), DeniedReason audit field - tool-descriptions: add manual overrides with WithEndpointDocs and export formats section - agent-patterns: add LangChain/LlamaIndex SDK pattern and standalone gateway production pattern with Docker example - Update roadmap: mark Q2 documentation as complete, Q2 at 100% - Update status: reflect all recent completions, shift priorities https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add agent demo example and blog post Add examples/agent-demo with a multi-service project management app (projects, tasks, team) that demonstrates AI agents interacting with Go Micro services through MCP. Includes seed data and example prompts. Add blog post 4 "Agents Meet Microservices: A Hands-On Demo" walking through the example code and showing cross-service agent workflows. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: enable multiple services in a single binary Remove global state mutations from service and cmd option functions so that configuring one service no longer overwrites another's settings. Key changes: - service/options.go: remove all DefaultXxx global writes from option functions; newOptions() now creates fresh Server, Client, Store, and Cache per service while sharing Registry, Broker, and Transport - cmd/cmd.go: newCmd() uses local copies instead of pointers to package globals; Before() no longer mutates DefaultXxx vars - cmd/options.go: remove global mutations from all option functions - service/service.go: export ServiceImpl type for cross-package use - service/group.go: new Group type for multi-service lifecycle - micro.go: add Start/Stop to Service interface, expose Group and NewGroup convenience function - examples/multi-service: working example with two services https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * docs: highlight multi-service binary support Add multi-service section to README with code example, update features list, add to examples index, and note in status summary. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: unify service API and clean up developer experience - Unified service creation: micro.New("name", opts...) as canonical API - Clean handler registration: service.Handle(handler, opts...) accepts server.HandlerOption args directly, no need to reach through Server() - Unexported serviceImpl: users interact through Service interface only - Service groups use Service interface (not concrete type) - Fixed Stop() to properly propagate BeforeStop/AfterStop errors - Fixed store init: error-level log instead of fatal on init failure - Updated all examples to use consistent patterns - Updated README, getting-started, MCP docs, and guides - Added blog post about the DX cleanup https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com> |
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ffe43e0e6d |
Claude/update docs roadmap f zd2 j (#2871)
* docs: update all four documentation guides and mark Q2 complete - ai-native-services: add WithMCP one-liner, standalone gateway, WebSocket client example, and OpenTelemetry observability section - mcp-security: add OTel distributed tracing, WebSocket authentication (connection-level and per-message), DeniedReason audit field - tool-descriptions: add manual overrides with WithEndpointDocs and export formats section - agent-patterns: add LangChain/LlamaIndex SDK pattern and standalone gateway production pattern with Docker example - Update roadmap: mark Q2 documentation as complete, Q2 at 100% - Update status: reflect all recent completions, shift priorities https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add agent demo example and blog post Add examples/agent-demo with a multi-service project management app (projects, tasks, team) that demonstrates AI agents interacting with Go Micro services through MCP. Includes seed data and example prompts. Add blog post 4 "Agents Meet Microservices: A Hands-On Demo" walking through the example code and showing cross-service agent workflows. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com> |
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beeaad748e |
Claude/update docs roadmap f zd2 j (#2868)
* feat: add LlamaIndex SDK for Go Micro services Add LlamaIndex integration package that enables LlamaIndex agents to discover and call Go Micro microservices through the MCP gateway. Follows the same pattern as the existing LangChain SDK. - GoMicroToolkit with from_gateway() factory and tool filtering - FunctionTool integration via llama_index.core.tools - Auth support, error handling, and retry configuration - Examples for basic agent and RAG + microservices workflows - Unit tests with mocked gateway responses https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * docs: update status for OTel, WebSocket, and LlamaIndex SDK completion Reflect recently completed work in roadmap and status documents: - Q2 progress: 85% -> 95% (WebSocket, LlamaIndex SDK done) - Q3 progress: 40% -> 50% (OpenTelemetry integration done) - Transports: 2 -> 3 (added WebSocket) - Agent SDKs: 1 -> 2 (added LlamaIndex) - Test coverage: 568 -> 1,000+ lines https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add WithMCP convenience option, improve startup banner, and blog post - Add mcp.WithMCP(":3000") service option for one-line MCP setup - Improve `micro run` startup banner to show Agent playground, MCP tools, and WebSocket endpoints prominently - Add blog post: "Building the AI-Native Future of Go Micro with Claude" covering WebSocket transport, OTel integration, LlamaIndex SDK, and Anthropic's Claude Max sponsorship - Update blog index and navigation links https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com> |
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14ec9b955f |
Update status docs: March 2026 progress and roadmap refinement (#2865)
* Update docs and roadmap to March 2026 with focus priorities - ROADMAP.md: Updated from Nov 2025 to reflect Q1 completions and current state - ROADMAP_2026.md: Updated status to March 2026, added model package as delivered - CURRENT_STATUS_SUMMARY.md: Rewrote with March 2026 status and clear next priorities - PROJECT_STATUS_2026.md: Added model package section, updated recommendations - Website roadmap: Updated Q3 security status and timestamps Key focus areas identified: documentation guides, multi-protocol MCP, LlamaIndex SDK, and OpenTelemetry integration. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * Add CLAUDE.md and four documentation guides to fill doc gaps - CLAUDE.md: Project guide with structure, build commands, and priorities - ai-native-services.md: End-to-end tutorial building an MCP-enabled task service - mcp-security.md: Production security guide (auth, scopes, rate limiting, audit) - tool-descriptions.md: Best practices for writing Go comments that help agents - agent-patterns.md: Six integration patterns from single-agent to event-driven - Updated docs index with new "AI & Agents" section linking all four guides These were the highest priority gaps identified in the roadmap analysis: the framework has solid features that were under-documented. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com> |
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e3337efd81 |
Update 2026 roadmap to reflect Q2 completions (85% → docs only) (#2862)
* Initial plan * Update 2026 roadmap to reflect Q2 completions (CLI exports and LangChain SDK) Co-authored-by: asim <17530+asim@users.noreply.github.com> * Update PROJECT_STATUS and roadmap docs to reflect Q2 85% completion Co-authored-by: asim <17530+asim@users.noreply.github.com> * Fix CLI integration status table to show all commands as complete Co-authored-by: asim <17530+asim@users.noreply.github.com> * Address code review feedback: fix duplicates and add missing metrics Co-authored-by: asim <17530+asim@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: asim <17530+asim@users.noreply.github.com> |
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abc7e3e052 |
Add MCP tools registry and agent playground to README and docs navigation (#2856)
* Initial plan * Add MCP tools registry and agent playground to README and docs navigation Co-authored-by: asim <17530+asim@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: asim <17530+asim@users.noreply.github.com> |
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c9a3584656 | update docs | ||
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f1cba0d617 | update index |