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more oc fixes

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Luxferre
2026-09-18 12:08:01 +03:00
parent 0b2d9f2a90
commit f23c9132ce
3 changed files with 162 additions and 26 deletions
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@@ -102,7 +102,7 @@ Using these rules, everyone can build their own copy of Bantam from scratch in l
1. **Initialization**: Read the config file (`.bantam.cfg` if present, else `model.cfg`). Discover context window size from the `/models` endpoint (or fallback to `context_window` from `model.cfg` or 200,000 tokens). Prepare an array of messages starting with the built-in system prompt `{"role": "system", "content": system_prompt}`.
2. **Input Processing**: Take user prompt (via command-line file parameter or interactive stdin). If prefixed with `!`, execute the command directly via `shell_exec` without appending to conversation context. Otherwise, append `{"role": "user", "content": prompt}`, and invoke `AL(cfg, messages)`.
3. **Agentic Loop (`AL`)**:
- Send `messages` and tool definitions (`shell_exec`, `write_file`) to the OpenAI-compatible `/chat/completions` API endpoint with custom `User-Agent` headers and `stream_options: {"include_usage": true}`.
- Send `messages` and tool definitions (`shell_exec`, `write_file`) to the OpenAI-compatible `/chat/completions` API endpoint with custom request headers (see below) and `stream_options: {"include_usage": true}`.
- Support context cancellation (e.g. on `SIGINT` / Ctrl+C) to cleanly abort in-flight requests without appending incomplete messages.
- On network or HTTP failure, retry using Fibonacci backoff delays (`1s, 1s, 2s, 3s, 5s, 8s, 13s, 21s, 34s`).
- If `stream=true`, parse SSE data chunks (`data: {...}`) in real-time to stream reasoning content (`reasoning_content`) and response text directly to stdout, bracketing the reasoning block with `--- reasoning start ---` / `--- reasoning end ---` markers, rendering Markdown and tables constrained to terminal width.
@@ -125,7 +125,7 @@ Using these rules, everyone can build their own copy of Bantam from scratch in l
### Agentic loop (`AL(cfg, messages)`) function
1. Call OpenAI-compatible Completions API (`POST {endpoint}/chat/completions`) forwarding relevant parameters from `cfg` (`model`, `temperature`, `stream`, `reasoning_effort`, etc., excluding internal agent configs like `endpoint`, `api_key`, `timeout`, `shell_timeout`, `max_al_iterations`, `color`, `context_window`) and optional `api_key` bearer header.
- Set custom `User-Agent` header (`Mozilla/5.0 (compatible; Bantam/1.0)`) to avoid gateway 403 blocks.
- Set custom request headers. If the endpoint host is `opencode.ai` (or a subdomain), send the OpenCode Zen header set: `User-Agent: opencode/1.18.31 ai-sdk/provider-utils/4.0.23 runtime/bun/1.3.14`, `x-opencode-client: cli`, `x-opencode-project: <project-md5>`, `x-opencode-session: <ses_...>`, and a fresh `x-opencode-request: msg_<26 base32 chars>` per call. For every other endpoint, keep the legacy `User-Agent: opencode/1.18.31` plus `X-Session-Id` and `x-session-affinity`. The `Authorization: Bearer <api_key>` header is added whenever `api_key` is set and not `-`.
- Retry network/HTTP errors with Fibonacci backoff delays (`1s, 1s, 2s, 3s, 5s, 8s, 13s, 21s, 34s`).
- If `stream=true`, parse SSE stream (`data: {...}`) for real-time reasoning and text output, bracketing reasoning with `--- reasoning start ---` / `--- reasoning end ---` markers.
2. Append the assistant's response message object to `messages`. If non-streaming and response has reasoning tokens (`reasoning_content` or `reasoning`), output them wrapped in `--- reasoning start ---` / `--- reasoning end ---` markers.