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dependabot
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
2342c9348e |
@@ -1,5 +1,5 @@
|
||||
|
||||
IK_LLAMA_VERSION?=6b9de3dbaa21ae95ea80638e5ee836795cc48c93
|
||||
IK_LLAMA_VERSION?=1520eda980564241434b791ce2bbbd128c4be9ea
|
||||
LLAMA_REPO?=https://github.com/ikawrakow/ik_llama.cpp
|
||||
|
||||
CMAKE_ARGS?=
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# parakeet-cpp backend Makefile.
|
||||
#
|
||||
# Upstream pin lives below as PARAKEET_VERSION?=50dfc24b4faa4ee23a1f59401f1d0c87fc4042b0
|
||||
# Upstream pin lives below as PARAKEET_VERSION?=b11fe5bca78ad8b342dd559a43d76df3984bb447
|
||||
# (.github/bump_deps.sh) can find and update it - matches the
|
||||
# whisper.cpp / ds4 / vibevoice-cpp convention.
|
||||
#
|
||||
@@ -15,7 +15,7 @@
|
||||
# That's what the L0 smoke test uses. The default target below does the
|
||||
# proper clone-at-pin + cmake build so CI doesn't need a side-checkout.
|
||||
|
||||
PARAKEET_VERSION?=50dfc24b4faa4ee23a1f59401f1d0c87fc4042b0
|
||||
PARAKEET_VERSION?=b11fe5bca78ad8b342dd559a43d76df3984bb447
|
||||
PARAKEET_REPO?=https://github.com/mudler/parakeet.cpp
|
||||
|
||||
GOCMD?=go
|
||||
|
||||
@@ -7,12 +7,8 @@ import "time"
|
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type batchRequest struct {
|
||||
pcm []float32
|
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decoder int32
|
||||
// language is the per-request target locale ("" means the model default).
|
||||
// parakeet.cpp's batched C-API takes ONE target_lang for the whole batch,
|
||||
// so the dispatcher only coalesces requests that share a language.
|
||||
language string
|
||||
tag string
|
||||
reply chan batchReply
|
||||
tag string
|
||||
reply chan batchReply
|
||||
}
|
||||
|
||||
// batchReply carries one per-item JSON object string (an element of the C-API's
|
||||
@@ -47,25 +43,13 @@ func newBatcher(maxSize int, maxWait time.Duration, runBatch func([]*batchReques
|
||||
// run is the dispatcher loop: accumulate submitted requests until either maxSize
|
||||
// is reached or maxWait elapses since the first queued request, then dispatch.
|
||||
// Exits when stop is closed (draining any partially-filled batch first).
|
||||
//
|
||||
// A batch carries ONE language (parakeet.cpp's batched C-API takes a single
|
||||
// target_lang), so a request whose language differs from the batch leader is
|
||||
// not coalesced: it is held in carry and becomes the leader of the next batch.
|
||||
// carry is therefore never dropped and its caller never deadlocks: every batch
|
||||
// (including a lone carry on stop) is dispatched, and runBatch replies to all.
|
||||
func (b *batcher) run(stop <-chan struct{}) {
|
||||
var carry *batchRequest
|
||||
for {
|
||||
var first *batchRequest
|
||||
if carry != nil {
|
||||
// A mismatched request from the previous fill leads this batch.
|
||||
first, carry = carry, nil
|
||||
} else {
|
||||
select {
|
||||
case first = <-b.submit:
|
||||
case <-stop:
|
||||
return
|
||||
}
|
||||
select {
|
||||
case first = <-b.submit:
|
||||
case <-stop:
|
||||
return
|
||||
}
|
||||
batch := []*batchRequest{first}
|
||||
|
||||
@@ -80,22 +64,12 @@ func (b *batcher) run(stop <-chan struct{}) {
|
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for len(batch) < b.maxSize {
|
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select {
|
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case r := <-b.submit:
|
||||
if r.language != first.language {
|
||||
// Different language: carry it to the next batch so this
|
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// batch stays single-language, then dispatch what we have.
|
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carry = r
|
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break fill
|
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}
|
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batch = append(batch, r)
|
||||
case <-timer.C:
|
||||
break fill
|
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case <-stop:
|
||||
timer.Stop()
|
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b.runBatch(batch)
|
||||
// Don't strand a carried request's caller on shutdown.
|
||||
if carry != nil {
|
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b.runBatch([]*batchRequest{carry})
|
||||
}
|
||||
return
|
||||
}
|
||||
}
|
||||
|
||||
@@ -105,60 +105,4 @@ var _ = Describe("batcher", func() {
|
||||
go func() { <-rep }()
|
||||
Eventually(dispatched, "2s").Should(Receive(Equal(1)))
|
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})
|
||||
|
||||
It("never coalesces requests with different languages into one batch", func() {
|
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// parakeet.cpp's batched C-API takes ONE target_lang per batch, so the
|
||||
// dispatcher must keep every dispatched batch single-language. Submit a
|
||||
// mix of languages and assert (a) no batch ever carries more than one
|
||||
// distinct language and (b) every submitted request still gets a reply
|
||||
// (the mismatched carry-over is never dropped).
|
||||
var mu sync.Mutex
|
||||
var langsPerBatch [][]string
|
||||
run := func(reqs []*batchRequest) {
|
||||
seen := map[string]struct{}{}
|
||||
var distinct []string
|
||||
for _, r := range reqs {
|
||||
if _, ok := seen[r.language]; !ok {
|
||||
seen[r.language] = struct{}{}
|
||||
distinct = append(distinct, r.language)
|
||||
}
|
||||
}
|
||||
mu.Lock()
|
||||
langsPerBatch = append(langsPerBatch, distinct)
|
||||
mu.Unlock()
|
||||
echoReply(reqs)
|
||||
}
|
||||
// Large window + size so the fill loop stays open across submits and the
|
||||
// language constraint (not the timer) is what splits the batches.
|
||||
b := newBatcher(16, 200*time.Millisecond, run)
|
||||
stop := make(chan struct{})
|
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go b.run(stop)
|
||||
defer close(stop)
|
||||
|
||||
langs := []string{"en", "en", "de", "de", "en", "fr", "fr"}
|
||||
const N = 7
|
||||
var wg sync.WaitGroup
|
||||
got := make([]string, N)
|
||||
for i := 0; i < N; i++ {
|
||||
wg.Add(1)
|
||||
go func(i int) {
|
||||
defer wg.Done()
|
||||
rep := make(chan batchReply, 1)
|
||||
b.submit <- &batchRequest{tag: string(rune('a' + i)), language: langs[i], reply: rep}
|
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got[i] = (<-rep).json
|
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}(i)
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
mu.Lock()
|
||||
defer mu.Unlock()
|
||||
// Invariant: every dispatched batch is single-language.
|
||||
for _, distinct := range langsPerBatch {
|
||||
Expect(len(distinct)).To(Equal(1), "a batch coalesced more than one language: %v", distinct)
|
||||
}
|
||||
// Liveness: every request got a reply (carry-over never stranded).
|
||||
for i := 0; i < N; i++ {
|
||||
Expect(got[i]).To(Equal(string(rune('a' + i))))
|
||||
}
|
||||
})
|
||||
})
|
||||
|
||||
@@ -48,13 +48,6 @@ var (
|
||||
// side reads them as const float*/const int*.
|
||||
CppTranscribePcmBatchJSON func(ctx uintptr, samplesConcat []float32, nSamples []int32, nClips int32, sampleRate int32, decoder int32) uintptr
|
||||
|
||||
// CppTranscribePcmBatchJSONLang is the multilingual variant of the batched
|
||||
// JSON entry point: identical, plus a trailing target_lang. "" (the model
|
||||
// default, "auto") is passed for non-prompt models, which ignore it; an
|
||||
// unknown locale on a prompt model returns 0 and sets last_error. Present
|
||||
// only in newer libparakeet.so; nil falls back to CppTranscribePcmBatchJSON.
|
||||
CppTranscribePcmBatchJSONLang func(ctx uintptr, samplesConcat []float32, nSamples []int32, nClips int32, sampleRate int32, decoder int32, targetLang string) uintptr
|
||||
|
||||
// Cache-aware streaming (RNN-T) entry points. stream_begin returns 0 for
|
||||
// non-streaming models. feed/finalize return a malloc'd char* (uintptr,
|
||||
// freed via CppFreeString); feed writes 1 to *eouOut on an <EOU>/<EOB>.
|
||||
@@ -62,11 +55,6 @@ var (
|
||||
CppStreamFeed func(s uintptr, pcm []float32, nSamples int32, eouOut unsafe.Pointer) uintptr
|
||||
CppStreamFinalize func(s uintptr) uintptr
|
||||
CppStreamFree func(s uintptr)
|
||||
|
||||
// CppStreamBeginLang is the multilingual variant of stream_begin: identical,
|
||||
// plus a trailing target_lang ("" means the model default). Present only in
|
||||
// newer libparakeet.so; nil falls back to CppStreamBegin.
|
||||
CppStreamBeginLang func(ctx uintptr, targetLang string) uintptr
|
||||
)
|
||||
|
||||
// streamChunkSamples is how much 16 kHz mono PCM we hand to stream_feed per
|
||||
@@ -199,19 +187,8 @@ func (p *ParakeetCpp) runBatch(reqs []*batchRequest) {
|
||||
if len(reqs) > 0 {
|
||||
dec = reqs[0].decoder
|
||||
}
|
||||
// All requests in a batch share one language (the batcher coalesces only
|
||||
// same-language requests), so any element's language describes the batch.
|
||||
lang := ""
|
||||
if len(reqs) > 0 {
|
||||
lang = reqs[0].language
|
||||
}
|
||||
p.engineMu.Lock()
|
||||
var cstr uintptr
|
||||
if CppTranscribePcmBatchJSONLang != nil {
|
||||
cstr = CppTranscribePcmBatchJSONLang(p.ctxPtr, concat, nSamples, int32(len(reqs)), 16000, dec, lang)
|
||||
} else {
|
||||
cstr = CppTranscribePcmBatchJSON(p.ctxPtr, concat, nSamples, int32(len(reqs)), 16000, dec)
|
||||
}
|
||||
cstr := CppTranscribePcmBatchJSON(p.ctxPtr, concat, nSamples, int32(len(reqs)), 16000, dec)
|
||||
p.engineMu.Unlock()
|
||||
if cstr == 0 {
|
||||
err := fmt.Errorf("parakeet-cpp: batch transcribe failed: %s", CppLastError(p.ctxPtr))
|
||||
@@ -249,9 +226,8 @@ func (p *ParakeetCpp) runBatch(reqs []*batchRequest) {
|
||||
// OpenAI API, whose default is segment-level); token ids always populate
|
||||
// Segment.Tokens.
|
||||
//
|
||||
// translate/diarize/prompt/temperature/threads are not applicable to parakeet
|
||||
// and are ignored; language is honored on the batched + streaming paths (see
|
||||
// opts.GetLanguage() below); streaming is handled by AudioTranscriptionStream
|
||||
// translate/diarize/prompt/temperature/language/threads are not applicable to
|
||||
// parakeet and are ignored; streaming is handled by AudioTranscriptionStream
|
||||
// (L2).
|
||||
func (p *ParakeetCpp) AudioTranscription(ctx context.Context, opts *pb.TranscriptRequest) (pb.TranscriptResult, error) {
|
||||
if p.ctxPtr == 0 {
|
||||
@@ -295,7 +271,7 @@ func (p *ParakeetCpp) AudioTranscription(ctx context.Context, opts *pb.Transcrip
|
||||
}
|
||||
rep := make(chan batchReply, 1)
|
||||
select {
|
||||
case p.bat.submit <- &batchRequest{pcm: pcm, decoder: 0, language: opts.GetLanguage(), reply: rep}:
|
||||
case p.bat.submit <- &batchRequest{pcm: pcm, decoder: 0, reply: rep}:
|
||||
case <-ctx.Done():
|
||||
return pb.TranscriptResult{}, status.Error(codes.Canceled, "transcription cancelled")
|
||||
}
|
||||
@@ -385,12 +361,7 @@ func (p *ParakeetCpp) AudioTranscriptionStream(ctx context.Context, opts *pb.Tra
|
||||
return status.Error(codes.Canceled, "transcription cancelled")
|
||||
}
|
||||
|
||||
var stream uintptr
|
||||
if CppStreamBeginLang != nil {
|
||||
stream = CppStreamBeginLang(p.ctxPtr, opts.GetLanguage())
|
||||
} else {
|
||||
stream = CppStreamBegin(p.ctxPtr)
|
||||
}
|
||||
stream := CppStreamBegin(p.ctxPtr)
|
||||
if stream == 0 {
|
||||
// Not a cache-aware streaming model: run a normal offline
|
||||
// transcription and emit it as one delta + a closing final result.
|
||||
|
||||
@@ -65,17 +65,6 @@ func main() {
|
||||
purego.RegisterLibFunc(&CppTranscribePcmBatchJSON, lib, "parakeet_capi_transcribe_pcm_batch_json")
|
||||
}
|
||||
|
||||
// Per-request language variants (multilingual nemotron). Same probe pattern:
|
||||
// present only in libparakeet.so built with multilingual support, so the
|
||||
// backend still loads against an older library and falls back to the
|
||||
// non-lang batched + streaming entry points (model default / "auto").
|
||||
if sym, err := purego.Dlsym(lib, "parakeet_capi_transcribe_pcm_batch_json_lang"); err == nil && sym != 0 {
|
||||
purego.RegisterLibFunc(&CppTranscribePcmBatchJSONLang, lib, "parakeet_capi_transcribe_pcm_batch_json_lang")
|
||||
}
|
||||
if sym, err := purego.Dlsym(lib, "parakeet_capi_stream_begin_lang"); err == nil && sym != 0 {
|
||||
purego.RegisterLibFunc(&CppStreamBeginLang, lib, "parakeet_capi_stream_begin_lang")
|
||||
}
|
||||
|
||||
fmt.Fprintf(os.Stderr, "[parakeet-cpp] ABI=%d\n", CppAbiVersion())
|
||||
|
||||
flag.Parse()
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
torch==2.7.1
|
||||
torch==2.7.1+xpu
|
||||
llvmlite==0.43.0
|
||||
numba==0.60.0
|
||||
accelerate
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
torch==2.7.1
|
||||
torch==2.7.1+xpu
|
||||
accelerate
|
||||
llvmlite==0.43.0
|
||||
numba==0.60.0
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
--extra-index-url https://download.pytorch.org/whl/cu130
|
||||
torch==2.9.0
|
||||
torch==2.7.1+xpu
|
||||
llvmlite==0.43.0
|
||||
numba==0.60.0
|
||||
transformers>=5.9.0
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
--extra-index-url https://download.pytorch.org/whl/rocm7.0
|
||||
torch==2.10.0+rocm7.0
|
||||
torch==2.7.1+xpu
|
||||
accelerate
|
||||
transformers>=5.9.0
|
||||
llvmlite==0.43.0
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
torch==2.7.1
|
||||
torch==2.7.1+xpu
|
||||
llvmlite==0.43.0
|
||||
numba==0.60.0
|
||||
accelerate
|
||||
|
||||
@@ -1,57 +1,4 @@
|
||||
---
|
||||
- name: "gemma-4-12b-it-qat-q4_0"
|
||||
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
|
||||
urls:
|
||||
- https://huggingface.co/google/gemma-4-12B-it-qat-q4_0-gguf
|
||||
description: |
|
||||
Hugging Face |
|
||||
GitHub |
|
||||
Launch Blog |
|
||||
Documentation
|
||||
|
||||
License: Apache 2.0 | Authors: Google DeepMind
|
||||
|
||||
> [!Note]
|
||||
> This model card is for the new versions of the Gemma 4 family optimized with Quantization-Aware Training (QAT), which allows preserving similar quality to bfloat16 while dramatically reducing the memory requirements to load the model.
|
||||
> Four versions of the QAT checkpoints are available:
|
||||
> * **Unquantized QAT checkpoints** (Q4_0): Half-precision weights extracted from the QAT pipeline, ideal for custom downstream compilation and research. Available for Gemma 4 E2B, E4B, 12B, 26B A4B, and 31B, and their drafter models.
|
||||
> * **GGUF** (Q4_0): Ready-to-deploy formats for broad ecosystem compatibility. Available for Gemma 4 E2B, E4B, 12B, 26B A4B, and 31B.
|
||||
> * **Mobile-optimized** (wNa8o8): A custom schema engineered explicitly for mobile hardware efficiency. It features targeted 2-bit decoding layers, optimized KV caches, and static activations to maximize VRAM savings. Available for Gemma 4 E2B and E4B.
|
||||
> * **Compressed Tensors** (w4a16): QAT checkpoints serialized in the compressed-tensors format for native, optimized inference with vLLM. Available for Gemma 4 E2B, E4B, 12B
|
||||
|
||||
...
|
||||
license: "apache-2.0"
|
||||
tags:
|
||||
- llm
|
||||
- gguf
|
||||
icon: https://ai.google.dev/gemma/images/gemma4_banner.png
|
||||
overrides:
|
||||
backend: llama-cpp
|
||||
function:
|
||||
automatic_tool_parsing_fallback: true
|
||||
grammar:
|
||||
disable: true
|
||||
known_usecases:
|
||||
- chat
|
||||
mmproj: llama-cpp/mmproj/gemma-4-12B-it-qat-q4_0-gguf/mmproj-gemma-4-12b-it-qat-q4_0.gguf
|
||||
options:
|
||||
- use_jinja:true
|
||||
parameters:
|
||||
min_p: 0
|
||||
model: llama-cpp/models/gemma-4-12B-it-qat-q4_0-gguf/gemma-4-12b-it-qat-q4_0.gguf
|
||||
repeat_penalty: 1
|
||||
temperature: 1
|
||||
top_k: 64
|
||||
top_p: 0.95
|
||||
template:
|
||||
use_tokenizer_template: true
|
||||
files:
|
||||
- filename: llama-cpp/models/gemma-4-12B-it-qat-q4_0-gguf/gemma-4-12b-it-qat-q4_0.gguf
|
||||
sha256: faff1a63667fac17ac5e777f47114688fcefea96e220e211aaa8d62c2c4561f1
|
||||
uri: https://huggingface.co/google/gemma-4-12B-it-qat-q4_0-gguf/resolve/main/gemma-4-12b-it-qat-q4_0.gguf
|
||||
- filename: llama-cpp/mmproj/gemma-4-12B-it-qat-q4_0-gguf/mmproj-gemma-4-12b-it-qat-q4_0.gguf
|
||||
sha256: e70b0e5cd80323d5d588b4ed06780356b7b1ba03995a4b8164c6ae9db0ff5989
|
||||
uri: https://huggingface.co/google/gemma-4-12B-it-qat-q4_0-gguf/resolve/main/mmproj-gemma-4-12b-it-qat-q4_0.gguf
|
||||
- name: "step-3.7-flash"
|
||||
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
|
||||
urls:
|
||||
@@ -31940,41 +31887,6 @@
|
||||
- filename: parakeet-cpp/tdt_ctc-1.1b-f16.gguf
|
||||
uri: huggingface://mudler/parakeet-cpp-gguf/tdt_ctc-1.1b-f16.gguf
|
||||
sha256: cd53f64eefac2623a12f2f118ef50b56622dc3012f42c815c6adf0d08292f387
|
||||
- name: parakeet-cpp-nemotron-3.5-asr-streaming-0.6b
|
||||
url: github:mudler/LocalAI/gallery/virtual.yaml@master
|
||||
urls:
|
||||
- https://huggingface.co/mudler/parakeet-cpp-gguf
|
||||
- https://huggingface.co/nvidia/nemotron-3.5-asr-streaming-0.6b
|
||||
- https://github.com/mudler/parakeet.cpp
|
||||
description: |
|
||||
Multilingual (40+ locales), prompt-conditioned, cache-aware streaming FastConformer RNN-T, 0.6B.
|
||||
Q8_0 GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo). Byte-identical to NeMo at
|
||||
WER 0 offline and streaming, about 2.5x faster than NeMo on CPU with no GPU. Select a language with
|
||||
the request "language" field (for example en, de, es, ja-JP), or leave it empty for automatic
|
||||
detection. License OpenMDW-1.1.
|
||||
license: other
|
||||
tags:
|
||||
- parakeet
|
||||
- parakeet-cpp
|
||||
- nemotron
|
||||
- asr
|
||||
- speech-recognition
|
||||
- stt
|
||||
- multilingual
|
||||
- streaming
|
||||
- gguf
|
||||
- ggml
|
||||
overrides:
|
||||
backend: parakeet-cpp
|
||||
known_usecases:
|
||||
- transcript
|
||||
name: parakeet-cpp-nemotron-3.5-asr-streaming-0.6b
|
||||
parameters:
|
||||
model: parakeet-cpp/nemotron-3.5-asr-streaming-0.6b-q8_0.gguf
|
||||
files:
|
||||
- filename: parakeet-cpp/nemotron-3.5-asr-streaming-0.6b-q8_0.gguf
|
||||
uri: huggingface://mudler/parakeet-cpp-gguf/nemotron-3.5-asr-streaming-0.6b-q8_0.gguf
|
||||
sha256: ba2f13eccd4a5245be728f77e6149bd6a4fdcdd133ff2e08ac6005bcef7a99f1
|
||||
- name: parakeet-crispasr
|
||||
url: github:mudler/LocalAI/gallery/virtual.yaml@master
|
||||
urls:
|
||||
|
||||
4
go.mod
4
go.mod
@@ -219,8 +219,8 @@ require (
|
||||
github.com/kevinburke/ssh_config v1.2.0 // indirect
|
||||
github.com/labstack/gommon v0.4.2 // indirect
|
||||
github.com/mschoch/smat v0.2.0 // indirect
|
||||
github.com/mudler/LocalAGI v0.0.0-20260606071251-14aed1ae4336
|
||||
github.com/mudler/localrecall v0.6.3-0.20260606070048-9a3b3321a9cd // indirect
|
||||
github.com/mudler/LocalAGI v0.0.0-20260508125235-37810d918a87
|
||||
github.com/mudler/localrecall v0.6.1-0.20260507074622-a7724fef6f81 // indirect
|
||||
github.com/mudler/skillserver v0.0.7-0.20260520220837-a7317cbf9145
|
||||
github.com/olekukonko/tablewriter v0.0.5 // indirect
|
||||
github.com/oxffaa/gopher-parse-sitemap v0.0.0-20191021113419-005d2eb1def4 // indirect
|
||||
|
||||
8
go.sum
8
go.sum
@@ -966,8 +966,8 @@ github.com/mr-tron/base58 v1.3.0 h1:K6Y13R2h+dku0wOqKtecgRnBUBPrZzLZy5aIj8lCcJI=
|
||||
github.com/mr-tron/base58 v1.3.0/go.mod h1:2BuubE67DCSWwVfx37JWNG8emOC0sHEU4/HpcYgCLX8=
|
||||
github.com/mschoch/smat v0.2.0 h1:8imxQsjDm8yFEAVBe7azKmKSgzSkZXDuKkSq9374khM=
|
||||
github.com/mschoch/smat v0.2.0/go.mod h1:kc9mz7DoBKqDyiRL7VZN8KvXQMWeTaVnttLRXOlotKw=
|
||||
github.com/mudler/LocalAGI v0.0.0-20260606071251-14aed1ae4336 h1:iKBkSnpisOvMVxFoYsAObvAuOqXBakRPMD0PWxWG5EE=
|
||||
github.com/mudler/LocalAGI v0.0.0-20260606071251-14aed1ae4336/go.mod h1:U+g6u8mF2wQxhkdBl3dr8G4db1cv3n7KTKmraoJ7D0c=
|
||||
github.com/mudler/LocalAGI v0.0.0-20260508125235-37810d918a87 h1:az+2umaD/sT1rRvI3WZHWXjzdJVJHxcyxp0SNYbqlFk=
|
||||
github.com/mudler/LocalAGI v0.0.0-20260508125235-37810d918a87/go.mod h1:x77p9W1zKZr+W+UcEwg8/qdp00p4XXOI69wE7WlXZc0=
|
||||
github.com/mudler/cogito v0.9.5-0.20260315222927-63abdec7189b h1:A74T2Lauvg61KodYqsjTYDY05kPLcW+efVZjd23dghU=
|
||||
github.com/mudler/cogito v0.9.5-0.20260315222927-63abdec7189b/go.mod h1:6sfja3lcu2nWRzEc0wwqGNu/eCG3EWgij+8s7xyUeQ4=
|
||||
github.com/mudler/edgevpn v0.34.0 h1:qDrD/rCPFY/FdURbXudIZWihVKY4VOX3nMn3CcbeQEU=
|
||||
@@ -976,8 +976,8 @@ github.com/mudler/go-piper v0.0.0-20241023091659-2494246fd9fc h1:RxwneJl1VgvikiX
|
||||
github.com/mudler/go-piper v0.0.0-20241023091659-2494246fd9fc/go.mod h1:O7SwdSWMilAWhBZMK9N9Y/oBDyMMzshE3ju8Xkexwig=
|
||||
github.com/mudler/go-processmanager v0.1.1 h1:c/1NRZOZpW8HuFv9RhBG57nQu1oDMRomEHedwBFMlrw=
|
||||
github.com/mudler/go-processmanager v0.1.1/go.mod h1:h6kmHUZeafr+k5hRYpGLMzJFH4hItHffgpRo2QIkP+o=
|
||||
github.com/mudler/localrecall v0.6.3-0.20260606070048-9a3b3321a9cd h1:trn9D5UHAE6zdRyD2uX04W1tLSslAwozVwcyNTd72Ak=
|
||||
github.com/mudler/localrecall v0.6.3-0.20260606070048-9a3b3321a9cd/go.mod h1:28k5n19raUrkuwXkacdNsBlj8yuSnGhpT16tu+2+4dU=
|
||||
github.com/mudler/localrecall v0.6.1-0.20260507074622-a7724fef6f81 h1:8D9NJ/ikhsJCxUwbdzIzadw6RqDrW+L0FPqpQQSeux8=
|
||||
github.com/mudler/localrecall v0.6.1-0.20260507074622-a7724fef6f81/go.mod h1:28k5n19raUrkuwXkacdNsBlj8yuSnGhpT16tu+2+4dU=
|
||||
github.com/mudler/memory v0.0.0-20260406210934-424c1ecf2cf8 h1:Ry8RiWy8fZ6Ff4E7dPmjRsBrnHOnPeOOj2LhCgyjQu0=
|
||||
github.com/mudler/memory v0.0.0-20260406210934-424c1ecf2cf8/go.mod h1:EA8Ashhd56o32qN7ouPKFSRUs/Z+LrRCF4v6R2Oarm8=
|
||||
github.com/mudler/skillserver v0.0.7-0.20260520220837-a7317cbf9145 h1:z59tA3IDYPt71nzH1jpxeaA1LuDw8aZfpTQFNU43Zb8=
|
||||
|
||||
Reference in New Issue
Block a user