0609f1ac5d1c4a24286b8d7fd793106e98b5cb7e
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0609f1ac5d
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feat(helexa-acp): add tools, session modes, and permission gating
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Stage 3 introduces five tools (read_file, write_file, edit_file, list_dir, bash) backed by ACP fs/* and terminal/* calls, a ClientOps trait so the runner is mock-testable, two session modes (default + bypassPermissions) with session/set_mode honouring them, and a tool-call loop in the agent that streams the model, dispatches each call, feeds results back into history, and re-enters until the model finishes or MAX_TOOL_ROUNDS is hit. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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96fc379893
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feat(helexa-acp): wire ACP agent loop for text-only conversations
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Stage 2 lands the agent loop on top of the Stage 1 scaffold: session state with per-session cancellation, a system-prompt builder honouring HELEXA_ACP_SYSTEM_PROMPT_PATH / system_prompt_path TOML, and handlers for initialize / session/new / session/prompt / session/cancel that stream provider output back as session/update notifications. Verified end-to-end against cortex from Zed. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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e23d5011d0
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feat(helexa-acp): scaffold ACP bridge with provider trait + OpenAI chat
Adds a new workspace crate `helexa-acp` (binary, Apache-2.0) — the
start of "the missing ACP binary" for multi-endpoint LLM setups
mixing public APIs, private LAN deployments, and various wire
formats. Today it speaks OpenAI /v1/chat/completions; the
Provider trait is the seam that lets OpenAI Responses, Anthropic
/v1/messages, and other wire formats slot in later without touching
the agent loop.
The crate is intentionally self-contained — no dependencies on the
other workspace crates (cortex-core, cortex-gateway, neuron) — so a
future migration to a dedicated GitHub repo is a Cargo.toml-only
change. All deps come from crates.io.
This commit lands:
* `config.rs` — TOML config at $XDG_CONFIG_HOME/helexa-acp/config.toml
with multi-endpoint support (each `[[endpoints]]` declares its
name, base_url, wire_api, default_model, optional API key /
api_key_env). Falls back to env-only single-endpoint config when
no TOML exists (HELEXA_ACP_BASE_URL, HELEXA_ACP_MODEL, etc.). The
`endpoint:model` selector syntax is validated and tested.
* `provider/mod.rs` — `Provider` trait + provider-agnostic types
(`CompletionRequest`, `CompletionEvent`, `Message`, `ToolCall`,
`ToolSpec`, `Role`, `UsageStats`). Agent loop consumes these
without knowing the wire format on the other side.
* `provider/openai_chat.rs` — `OpenAIChatProvider` impl. Compatible
with cortex, LM Studio, Ollama (compat mode), OpenRouter, OpenAI
itself. Streams via reqwest + eventsource-stream + async-stream.
Surfaces text deltas, reasoning deltas (for models that emit
`reasoning_content`), tool-call lifecycle (start, args-delta,
completion), usage, finish reason. Cancellation-token aware.
* `main.rs` — tokio + stderr-only tracing-subscriber + Stdio
transport. Builds a provider per configured endpoint at startup,
surfacing config mistakes before the editor even initializes.
Currently responds to `initialize`; everything else stubs to
`not implemented yet` until the agent loop lands in the next
commit.
12 unit tests pass — encoder shape, decoder shape (text-only,
tool-call progressive, cancellation, malformed-chunk recovery),
config parsing (multi-endpoint TOML, env fallback, validation).
The `#![allow(dead_code)]` on `provider/mod.rs` is temporary — the
agent loop in the next commit reads every field. It's noted in the
module-level docstring so the next reader knows.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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